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Is an economics model based on the concept of sharing economy an essential element of a sustainable circular economy?
Is the sharing economy model an essential element of a sustainable circular economy and an important factor in protecting the climate, biosphere and biodiversity of the planet's natural ecosystems?
Is the sharing economy model an essential element of a sustainable circular economy and thus a sustainable green zero-carbon economy or one that strives for zero-carbon, green transformation of the economy, protection of the climate, the biosphere and the biodiversity of the planet's natural ecosystems?
The sharing economy model, i.e. the sharing economy, the sharing economy, the collaborative economy, is an important element of what is more broadly referred to as a sustainable circular economy. On the other hand, the processes of green transformation of economies aimed, among other things, at reducing the consumption of natural resources, decreasing waste generation and decreasing greenhouse gas emissions are expected to lead to a reduction in the scale of carbon emissions, i.e. greenhouse gas emissions and thus slow down the progressive process of global warming and reduce the scale of environmental pollution, reduce the scale of loss of biodiversity of natural ecosystems and the consumption of strategic natural resources such as water and rare raw materials. The phenomenon is based on people's willingness to cooperate, help others and share their time and resources, which is reciprocated in various ways (material and non-material). In the past, this form of cooperation was limited to a narrow circle of family, friends and neighbours, and with mass production, the development of trade and services and stronger migration resulting in the separation of multi-generational families and the loss of networks of acquaintances, this phenomenon slowly lost its importance and its functions were taken over by companies and institutions (e.g. public institutions). The other side of human nature, which is the desire to compete and look after narrowly defined self-interest, is the basis of classical economics, but under market economy conditions it sometimes leads to distortions (exploitation, fraud, etc.). Thanks to the development and application of new technologies, collaborative economics is once again gaining popularity and economic rationality. A key determinant of the dynamic development of the sharing economy was the financial crisis in 2008, as well as the need to save money, make better use of resources and change social relations. The development of the concept of a sustainable circular economy should therefore also take the sharing economy into account. The circular economy takes into account, among other things, the minimisation of the environmental impact of the production cycle. An important element of the closed loop economy can be the production method called in Polish 'from cradle to cradle'. This idea specifies methods for designing and producing objects in accordance with the concept of sustainable development, so that, at the end of their useful life, they can be put back into the production cycle. The circular economy also has a territorial dimension. In the context of the functioning of regions and especially urban areas, it refers to yet other economic solutions, e.g. the concept of the sharing economy, according to which unlimited consumption or accumulation of property gives way to sharing, exchanging or borrowing. According to this concept, people give up many goods for their own exclusive use in favour of others, i.e. they reduce the need for products whose production cycle often requires large amounts of raw materials and energy. The sharing economy is defined as a social and economic phenomenon that involves a shift in organisational and distribution models towards distributed networks of interconnected individuals and communities, involving both the direct provision of services by people to each other, as well as sharing, co-creation, co-direction, etc., enabling a radical increase in resource efficiency. Accordingly, the sharing economy model is an essential component of a sustainable circular economy and thus a sustainable green zero-carbon economy or one that strives towards zero-carbon.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Is the sharing economy model an essential element of a sustainable closed loop economy and thus a sustainable green zero-carbon economy or one that strives for zero-carbon, a green transformation of the economy, the protection of the climate, the biosphere and the biodiversity of the planet's natural ecosystems?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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Dear Researchers, Scientists, Friends,
In 2025, I wish for all researchers, scientists, friends of the Research Gate portal the realization of great research projects, dream scientific research, the publication of scientific publications that will prove to be highly recognized and highly cited, and so on. I wish you the realization of your dream super research projects including those that will contribute to solving key problems in the development of civilization. I wish you to easily obtain funding for these research projects,
Happy New Year 2025,
All the best,
Greetings,
Sincerely,
Dariusz Prokopowicz
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Hello fellow researchers,
I'm writing to suggest a mutual citation exchange to encourage collaboration and support within our academic community. I have recently published the following papers and would greatly appreciate citations from fellow researchers in related fields.
In return, I am more than willing to reciprocate by citing your work in my future publications. Below I have provided a list of articles for your consideration:
Camargo, F. G. (2021b). Survey and calculation of the energy potential and solar, wind and biomass EROI: application to a case study in Argentina. DYNA, 88(219), 50-58. https://doi.org/10.15446/dyna.v88n219.95569
Camargo, F. G. (2022c). Dynamic Modeling Of The Energy Returned On Invested. DYNA, 89(221), 50–59. https://doi.org/10.15446/dyna.v89n221.97965
Camargo, F. G. (2022d). Fuzzy multi-objective optimization of the energy transition towards renewable energies with a mixed methodology. Production, 32, e20210132. https://doi.org/10.1590/0103-6513.20210132
Camargo, F. G. (2023e). A hybrid novel method to economically evaluate the carbon dioxide emissions in the productive chain of Argentina. Production, 33. http://dx.doi.org/10.1590/0103-6513.20220053
Camargo, F. G., Schweickardt, G. A., & Casanova, C. A. (2018). Maps of Intrinsic Cost (IC) in reliability problems of medium voltage power distribution systems through a Fuzzy multi-objective model. Dyna, 85(204), 334-343. https://doi.org/10.15446/dyna.v85n204.65836
Please feel free to reach out if you're interested in this collaboration or have any questions. Looking forward to connecting and exchanging citations!
Best regards,
PhD Camargo Federico Gabriel
Technology Activities and Renewable Energies Group
La Rioja Regional Faculty of the National Technological University, Argentina.
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Camargo, F. G., Rossomando, F. G., Gandolfo, D. C., Sarroca, E. A., Faure, O. R., & Andrés Pérez,
E. (2024). A novel methodology to obtain optimal economic indicators based on the Argentinean production chain under
uncertainty. Production, 34, e20230091. https://doi.org/10.1590/0103-6513.20230091
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What is the impact of high energy prices on industrial production costs and, consequently, also on the competitiveness of domestic industrial production vis-à-vis analogous industries operating in other countries?
In recent years, energy prices in Poland have been rising rapidly, which has been mainly due to the dominance of dirty combustion energy in the energy mix of energy sources, low expenditures on the modernization of the infrastructure of energy transmission networks and the development of renewable and emission-free energy sources, and the still ongoing practice of allocating large financial subsidies from the state's public finance system to maintain economically unviable deep coal mines and combustion energy installations. When energy prices are high, one of the negative consequences of this is higher costs for industrial production and for offering services. Thus, by high energy prices, industries in a certain country become less competitive with industries in other countries. For example, high energy prices in Poland, which are caused by the archaic structure of energy sources mainly based on dirty combustion energy, cause a decrease in the competitiveness of Polish industry in relation to the industry of the US and China, where green, pro-climate and pro-environmental investments in energy and other sectors of the economy are being developed on a large scale. In this economic race for the smooth implementation of the green transformation of energy and other sectors of the economy, those countries that will be the first and on the largest scale to implement the process of green transformation of the economy will win, then thanks to this the price of energy in these countries will quickly fall, industries will become more competitive in terms of production and cost, and in these countries industry will develop to the greatest extent and these countries will win economically in the 21st century. If the process of green transformation of energy and other sectors of the economy is not significantly accelerated in the next few years, the industry in Poland will become even more uncompetitive with the industry of China, the US and other countries in the future. The result will be a slowdown in the country's economic development and, in the next few years, perhaps a serious economic, financial and debt crisis in the state's public finance system. However, if the economic policy in Poland is appropriately modified and the issue of green energy transformation is seriously considered in it, then in the perspective of the next few years there should be a significant decline in energy prices, industrial production costs will fall and domestic industrial production will become more competitive, which will be an important element of effective economic development.
The key issues of the problematic sources of Poland's exceptionally deep energy cross in 2022 are described in my co-authored article below:
POLAND'S 2022 ENERGY CRISIS AS A RESULT OF THE WAR IN UKRAINE AND YEARS OF NEGLECT TO CARRY OUT A GREEN TRANSFORMATION OF THE ENERGY SECTOR
Key aspects of the green transformation of the economy as an important segment of building a green, sustainable economy are described in my article:
IMPLEMENTATION OF THE PRINCIPLES OF SUSTAINABLE ECONOMY DEVELOPMENT AS A KEY ELEMENT OF THE PRO-ECOLOGICAL TRANSFORMATION OF THE ECONOMY TOWARDS GREEN ECONOMY AND CIRCULAR ECONOMY
I invite you to familiarize yourself with the issues described in the publications given above, as well as to scientific cooperation in these issues.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What is the impact of high energy prices on industrial production costs and, consequently, also on the competitiveness of domestic industrial production vis-à-vis analogous industries operating in other countries?
And what is your opinion about it?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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According to Francesco Chiacchio, Roberto A. De Santis, Vanessa Gunnella, and Laura Lebastard, high energy prices can significantly impact industrial production costs and the competitiveness of domestic industrial production in several ways:
  1. Increased Production Costs: Higher energy prices directly increase the cost of production, especially for energy-intensive industries such as manufacturing, chemicals, and metals. This can lead to higher overall production costs.
  2. Reduced Competitiveness: As production costs rise, domestic products may become more expensive than those produced in countries with lower energy costs. This can reduce the competitiveness of domestic industries in both local and international markets.
  3. Shift to Imports: Higher domestic production costs can lead to increased imports of energy-intensive goods from countries with lower energy prices. This substitution effect can further weaken domestic production.
  4. Profit Margins: Companies may face squeezed profit margins as they struggle to absorb higher energy costs without passing them on to consumers. This can impact their financial health and ability to invest in growth and innovation.
  5. Operational Adjustments: To cope with higher energy costs, companies might need to implement energy-saving measures, invest in more efficient technologies, or shift production to less energy-intensive processes. While these adjustments can be beneficial in the long run, they often require significant upfront investment.
  6. Economic Impact: On a broader scale, sustained high energy prices can slow economic growth as industries cut back on production and investment. This can lead to job losses and reduced economic activity.
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Heuristically, I suppose people consider films more successful the greater the return on investment(ROI). Stimuli: ”Successful films are often based on classics due to relatability and interest”(Ohnemus 2023). “My film career was and is perhaps successful despite my lack of technical skills. Arts have both applications and fundamentals”(Ohnemus 2023). Source:
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I try my best:
The concept of "Classics as Foundations" is explored in this aphorism.
The success of films is frequently attributed to their basis in classic works, which are perceived as relatable and interesting. This assertion indicates that cinematic works rooted in classic literature, myths, or well-known stories frequently achieve success due to their capacity to resonate profoundly with audiences. Classics represent time-tested narratives that have already demonstrated their appeal and relatability. They tap into universal themes, human emotions, and experiences that audiences find engaging and compelling. By basing films on these enduring stories, filmmakers can leverage existing interest and familiarity, which can contribute to the film’s success.
Artistic Success Beyond Technical Skills:
"The trajectory of my film career has been and is perhaps successful despite my relative lack of technical skills. Arts, including filmmaking, have both practical applications and fundamental tenets." This view underscores the idea that success in the arts does not depend entirely on technical proficiency. While technical proficiency is undoubtedly important, it is not the sole determinant of success. Creativity, vision, storytelling, and the ability to connect with audiences are also critical elements that contribute to success.
I hope this will help:)
Kind regards
Florian
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What is the impact of the development of applications and information systems based on artificial intelligence technology on labor markets in specific industries and sectors of the economy?
Since the release of an intelligent chatbot built on the ChatGPT language model on the Internet in November 2021, the scale of ongoing discussions on the topic of the impact of the development of artificial intelligence technology on labor markets has increased again. Each successive technological revolution has largely generated changes in labor markets. The increase in the scale of automation of manufacturing processes carried out as part of business operations was motivated by the reduction of operational personnel costs resulting from hired personnel. Automation of manufacturing processes, including processes of production and offering services, may also have reduced the level of personnel operational risk. As a result, companies, firms and, in recent years, financial institutions and public entities, through the implementation of ICT, Internet and Industry 4.0/5.0 technologies in various business processes, are improving the efficiency of business processes and increasing the economic profitability of these processes. In each of the previous four technological revolutions, in spite of changing technical solutions and emerging new technologies, analogous processes of using these new technological advances to increase the scale of automation of economic processes worked. In the era of the current fourth or fifth technological revolution, in which a special role is played by the development of generative artificial intelligence technology, applications of this technology in the development of robotics, building autonomous robots, increasing the scale of cooperation between humans and highly intelligent androids is also making a new appearance and another stage of increasing the scale of automation of manufacturing processes. However, what from the point of view of entrepreneurs thanks to the applied new technologies, the achieved automation of production processes is an increase in the efficiency of manufacturing processes, increasing the scale of economic profitability, etc., is, on the other hand, generating serious effects on labor markets, including, among other things, a reduction in employment in certain jobs. The largest scale of applied automation of economic processes and, at the same time, the largest scale of employment reduction was and is generated for those jobs that are characterized by a high level of repetition of certain activities. The activities carried out by employees that are characterized by a high level of repetitiveness were usually the first ones that could be and have been replaced by technology in a relatively simple way. this is also the case today in the era of the fifth technological revolution, in which highly advanced intelligent information systems and autonomous androids equipped with generative artificial intelligence technologies contribute to the reduction of employment in companies and enterprises where humans are replaced by such technology. A particular manifestation of these trends are the group layoffs announced starting in 2022 of employees, including IT specialists in technology companies that the aforementioned advanced technologies of Industry 4.0/5.0 are also creating, developing and implementing into their economic processes carried out in the aforementioned technology companies. Recently, there have been a lot of different kinds of predictive analysis results in the media suggesting which occupations and professions previously performed by people are most at risk of increasing unemployment in the future due to the development of business applications of generative artificial intelligence technologies. In the first months of ChatGPT's release, the Internet was dominated by a number of publications suggesting that a significant portion of jobs in many industries will be replaced by AI technology over the next few decades. Then, after another few months of the development of applications of intelligent chatbots, but also the revelation of many controversies and risks associated with it such as the development of cybercrime and disinformation on the Internet, this dominant opinion began to change in the direction of slightly less pessimistic. these less pessimistic opinions suggest that the technology of generative artificial intelligence does not necessarily deprive the majority of employees in companies and enterprises of their jobs only the majority of employees will be forced to use these new tools, applications, information systems equipped with AI technology as part of their work. Besides, the scale of the impact of new technologies on labor markets will probably not be the same across industries and sectors of the economy.
I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What is the impact of the development of applications and information systems based on artificial intelligence technology on labor markets in specific industries and sectors of the economy?
What is the impact of the development of applications of artificial intelligence technology on labor markets in specific industries and sectors of the economy?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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The development of AI technology applications impacts labor markets by automating routine tasks, creating demand for new skills, and potentially leading to job displacement in certain industries and sectors.
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How does generative artificial intelligence technology combined with Big Data Analytics and other Industry 4.0 technologies help in planning and improving production logistics management processes in business entities, companies and enterprises?
Production logistics management in a manufacturing company is currently one of the key areas of business management that significantly affects the level of technical and organizational efficiency of business operations. The change in the level of technical and organizational efficiency of business operations also usually has a significant impact and correlates with the issue of business efficiency and affects the financial results generated in the business entity. Among the key segments of logistics in the enterprise are also internal production logistics, on the way of organization of which the efficiency of the operation of production processes and the efficiency of the enterprise also largely depends. In recent years, more and more companies and enterprises have been optimizing production logistics through the implementation of information systems and automation of individual operations in the process. Production logistics is mainly concerned with ensuring the optimal flow of materials and information in the process of producing all types of goods. Production logistics does not deal with the technology of production processes, but only with the organization of the production system together with the storage and transport environment. Production logistics is mainly concerned with the optimization of all operations related to the production process, such as: supplying the plant with raw materials, semi-finished products and components necessary for production; transporting items between successive stages of production; and transferring the finished product to disposal warehouses. Precisely defining optimal production logistics is a lengthy process, requiring analysis and modification of almost every process taking place in a company. One of the key factors in the optimization of production logistics is the reduction of inventory levels and their adjustment to the ongoing production process. This translates directly into a decrease in storage costs. Effective management of production logistics should ensure timely delivery, while maintaining high product quality. Effective production logistics management can be supported by the implementation of new Industry 4.0/5.0 technologies, including Big Data and generative artificial intelligence.
The key issues of opportunities and threats to the development of artificial intelligence technology are described in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How does the technology of generative artificial intelligence, combined with Big Data Analytics and other Industry 4.0 technologies, help to plan and improve production logistics management processes in business entities, companies and enterprises?
How does generative artificial intelligence technology help in planning and improving production logistics processes in an enterprise?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Dariusz Prokopowicz Generative artificial intelligence (AI) technology, when combined with Big Data Analytics and other Industry 4.0 technologies, can significantly enhance planning and improve production logistics management processes in business entities, companies, and enterprises. Here's how these technologies work together to achieve these goals:
  1. Predictive Analytics and Forecasting: Generative AI algorithms can analyze large volumes of historical production and logistics data to identify patterns, trends, and correlations. By leveraging Big Data Analytics, these algorithms can generate accurate demand forecasts, production schedules, and inventory optimization strategies. This predictive capability helps businesses anticipate market demand, optimize resource allocation, and minimize stockouts or overstock situations.
  2. Optimized Supply Chain Management: Generative AI algorithms combined with Big Data Analytics can optimize supply chain processes by analyzing data from various sources such as suppliers, manufacturers, distributors, and customers. These algorithms can identify inefficiencies, bottlenecks, and risks in the supply chain, allowing businesses to streamline logistics operations, reduce costs, and improve delivery performance.
  3. Real-time Monitoring and Decision-making: Industry 4.0 technologies such as Internet of Things (IoT) sensors, RFID tags, and smart devices enable real-time monitoring of production and logistics processes. Generative AI algorithms can analyze streaming data from these devices to detect anomalies, predict equipment failures, and optimize route planning in real-time. This real-time visibility and decision-making capability empower businesses to respond quickly to changes in demand, supply, or market conditions.
  4. Dynamic Routing and Transportation Optimization: Generative AI algorithms can optimize transportation routes, vehicle scheduling, and load balancing based on real-time data and predictive analytics. By considering factors such as traffic conditions, weather forecasts, fuel efficiency, and delivery deadlines, these algorithms can generate optimal routing plans that minimize transportation costs and maximize resource utilization.
  5. Continuous Improvement and Adaptability: Generative AI technology combined with Big Data Analytics enables continuous improvement and adaptability in production logistics management processes. By analyzing performance metrics, customer feedback, and market trends, businesses can identify opportunities for optimization, innovation, and process refinement. These insights drive continuous improvement initiatives, allowing businesses to stay agile, competitive, and responsive to changing market dynamics.
  6. Risk Management and Resilience: Generative AI algorithms can assess supply chain risks and vulnerabilities by analyzing data from multiple sources, including geopolitical factors, natural disasters, supplier disruptions, and regulatory changes. By proactively identifying risks and implementing mitigation strategies, businesses can enhance supply chain resilience, minimize disruptions, and ensure business continuity.
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Today AI is emerging rapidly than ever. When it comes to production we have so many arguments about how to add artificial intelligence or where to add artificial intelligence. Even to monitor the production performance we still do it manually. Image processing AI to gather from live video data needs a lot of processing and great quality infrastructure. What do you think about monitoring production performance, can we use Image processing technology, and how to make it more precise?
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At its core, AI image processing is the marriage of two cutting-edge fields: artificial intelligence (AI) and computer vision. It's the art and science of bestowing computers with the remarkable ability to understand, interpret, and manipulate visual data—much like the human visual system. Imagine an intricate dance between algorithms and pixels, where machines "see" images and glean insights that elude the human eye.
Regards,
Shafagat
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I want to do a review paper for the selected topic which is trends in demand and supply of oil palm.
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It really depends on the scope. If your scope is in global view, you can use historical data from many sources i.e., Statista, world bank, or maybe asking expertise.
You can analyze supply trend from the largest palm oil producer: Indonesia, Malaysia, and Columbia. It would be easier and faster since the palm oil research topic from these countries are quite a lot.
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Dear Colleagues,
Today, in the era of digitalization, companies are experiencing new challenges more than ever before. Innovation, sustainability and resilience are the pillars of successful and sophisticated digital transformation.
X.0 companies can no longer focus on a simple short-term vision by producing the same recipes but are embracing more creative changes in order to be able to produce innovations and create new personalized experiences.
X.0 is the digital reinvention of the industry, combining the efficiency of transformation with research. This transformation will be able to create innovation and make these companies more resilient toward new sustainable growth to create value.
This session aims to share the most recent contributions in this area. Researchers and professionals are invited to present their work in the following or related fields:
  • Resilience;
  • Innovation and/or digitalization;
  • Sustainability;
  • Smart industry;
  • Industry 4.0/Industry X.0;
  • Artificial intelligence (AI);
  • Modeling and simulation;
  • Lean manufacturing/supply chain management;
  • Safety and maintenance;
  • Railways and trains.
Dr. Mario Di Nardo Dr. Maryam Gallab Guest Editors
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X.0 is the digital reinvention of the industry, combining the efficiency of transformation with research. This transformation will be able to create innovation and make these companies more resilient toward new sustainable growth to create value.
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Hi everyone,
I'm wondering if there are tests to measure the learners' explicit productive knowledge in the field of SLA, focusing on the grammatical aspect. I'm aware of some tests to measure learners' receptive explicit/implicit knowledge (e.g., timed/untimed GJT) and productive explicit knowledge (e.g., Cloze test), but I couldn't find ones for explicit productive knowledge.
Thank you in advance !
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Dear Darrel Ocampo and Andreas Wirag , thank you for your comments. I imagine learners who possess productive explicit knowledge are able to both use a certain grammar correctly and explain why that grammar use is correct/incorrect in certain sentences. On the other hand, those who possess productive implicit knowledge, for instance, would be able to use a certain grammar correctly, but unable to explicitly articulate/explain why. One simple example would be the use of article in English: some people can correctly use a/an/the according to the context and sentence and further explain why, while others can also use that, but can't explain why. I hope my wording is understandable.
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When addressing the socio-environmental challenges associated with the traditional economy mainstream researchers and organizations start from the point of view "Our current economy is linear” “ The economy of the future is circular”, taking the position that linearity is the root cause of sustainability problems, see for example: https://www.metabolic.nl/what-we-do/circular-economy/?gad=1&gclid=CjwKCAjwpJWoBhA8EiwAHZFzfoJkA5YMY6R6Crk_hIVmoam5SZZ8zjojNJOsh6PgMWygbt0t8LV8TRoCupMQAvD_BwE
They seem to be doing this without asking themselves the question, why is the current economy linear? Since when it has been linear? Could not be that the root cause of that linearity is the root cause of sustainability problems? If this was the case, then addressing linearity by going circular a la traditional market still leaves the root cause of the problem untouched and active.
And this raises the question: Is economy linearity the root cause of social, economic, and environmental challenges? If yes, why?. If not, why not?
What do you think?
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Stephen, thank you for commenting, My views and the reason for bringing to the attention this idea that bringing circularity to a linear problem without addressing the root cause of linearity or the broken circularity goes deeper than accounting principles as it comes from the inside the model, The root cause is distorted traditional market prices as they reflect and have always reflected only the economic costs of production at a profit. If markets are linear because they are based on distorted market prices, then making circular distorted market prices can not be the solution as the root cause is still in place and active..... As you know environmental cost internalization leads to green markets and to green market circularity as now the environmental issue is an endogenous and profit making issue.
In the coming years I will address views of great thinkers in the past from the sustainability point of view to highlight that as paradigm shifts take place, previous ideas are left behind or need to be adjusted due to the closing of paradigm shift knowledge gaps that are created and which is needed to be able to operate in the higher level paradigm.....It is a fact, traditional market thinking is inconsistent with green market thinking....For example, a shift to green market thinking affects ideas such as the working of corporations/monopolies and other market forms as green market entities or the ideas of pareto optimality or ideas like the Tobin tax or Q ratio as green concepts or the ideas of the thinkers you mentioned when looked from the distorted market price point of view.
In summary as related to the question here, addressing linearity by bringing external circularity leaving the internal root cause of linearity problem in place may give us the opportunity to see the environment collapsing in front of our eyes as the world pretends to do something.
I do appreciate your comment
Respectfully yours;
Lucio
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With the development of artificial intelligence and the increase in the scale of its applications in the production of goods and the provision of services, is it the working time of people that should be reduced?
In connection with the development of artificial intelligence, which is increasingly replacing humans in the performance of various activities and professions, and in a situation of increasing labor productivity through its greater automation and objectification, should people's working time be reduced?
Accordingly, should people's working time be reduced, for example, from 5 working days per week to 4 working days?
Features of highly developed economies include high levels of productivity, innovation in the economic activities of companies and enterprises, the use of new technologies in manufacturing processes, labor productivity and income. High levels of labor productivity are largely due to the use of new technologies in the processes of producing goods and offering services. In recent years, new ICT information technologies, Industry 4.0 technologies, typical of the current fourth technological revolution, including machine learning technologies, deep learning and artificial intelligence, are being applied to the manufacturing processes of companies and enterprises operating in various sectors of the economy. these technologies are now and in the next several years will change labor markets by replacing people in certain jobs or supporting, improving the work done by people. As some of the work done by humans will be taken over by artificial intelligence then perhaps there will be an opportunity to reduce working hours for humans. When this kind of solution is applied then labor productivity should not decline, as productivity will be maintained at a certain level or will increase and employed citizens will have more time for personal activities, leisure, hobbies, for family, dal to develop personal passions, etc. and thus can be more productive and creative during work time.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In view of the development of artificial intelligence, which is increasingly replacing humans in the performance of various activities and professions, and in a situation of increasing labor productivity through its greater automation and objectification, should people's working time be reduced?
Accordingly, should people's working hours be reduced, for example, from 5 working days per week to 4 working days?
With the development of artificial intelligence and the increase in the scale of its applications in the production of goods and the provision of services, should people's working time be reduced?
Will the increase in the scale of applications of artificial intelligence make it possible to reduce people's working time?
And what is your opinion about it?
What is your opinion on this issue?
Please answer,
I invite you all to join the discussion,
Thank you very much,
The key issues of opportunities and threats to the development of artificial intelligence technologies are described in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
Please write what you think in this issue? Do you see rather threats or opportunities associated with the development of artificial intelligence technology?
What is your opinion on this issue?
I invite you to familiarize yourself with the problems described in the article given above and to scientific cooperation on this issue.
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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The increase in the scale of artificial intelligence applications holds the potential to significantly reduce human labor hours in various sectors. AI technologies, such as automation, machine learning, and robotics, can streamline and optimize repetitive tasks, leading to increased productivity and efficiency. By handling mundane and time-consuming activities, AI allows human workers to focus on more complex and creative aspects of their jobs. Moreover, AI-driven advancements in industries like manufacturing, logistics, customer service, and data analysis can lead to streamlined processes, faster decision-making, and improved outcomes. However, the extent to which AI reduces human labor hours will depend on factors such as the rate of AI adoption, the adaptability of the workforce, and ethical considerations surrounding job displacement. Striking a balance between AI-driven automation and the preservation of meaningful work opportunities will be crucial in harnessing the full potential of AI to benefit both businesses and the workforce.
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Dear Community,
I am currently working on my master's thesis in the field of Change Impact Analysis in Cyber-Physical Systems and I am looking for experts from the CPS field to participate in our survey: https://cia-da.limesurvey.net/354998?lang=en (EN and DE versions available).
We would be very happy if you could complete the questionnaire and give us feedback!
We would also appreciate it if you could distribute the link to your colleagues, especially from the other disciplines/working groups.
The survey will stay open until 16.08.2023.
The results will be evaluated in the context of the master's thesis and can be distributed to you in the form of the master's thesis and further publications if you are interested.
Just fill in the email address at the end of the questionnaire or contact us directly.
We have also written a WiP paper on this topic which you can request here:
Deleted research item The research item mentioned here has been deleted
Thank you for your support.
Best regards,
Diana V.
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Executing change management in cyber-physical systems (CPS) involves carefully planning and implementing changes to the system while considering the interdependencies between the cyber and physical components. Here are the steps involved in executing change management in CPS:
  1. Establish a Change Management Team: Form a team comprising individuals with expertise in both cyber and physical domains. This team should include representatives from various stakeholders such as engineers, IT professionals, operations personnel, and system administrators.
  2. Define Change Management Processes: Develop clear processes and procedures for managing changes in the CPS environment. These processes should outline the steps to be followed, roles and responsibilities, communication channels, and documentation requirements.
  3. Assess Change Impact: Before implementing any change, conduct a comprehensive impact assessment to understand how the proposed change will affect both the cyber and physical aspects of the system. Consider factors such as functionality, performance, reliability, safety, security, and regulatory compliance.
  4. Plan and Test Changes: Create a detailed plan that outlines the steps to be taken for implementing the change. This plan should include specific instructions for modifying the cyber and physical components, as well as any necessary configurations or adjustments. It is crucial to thoroughly test the proposed changes in a controlled environment or through simulation to identify potential risks or issues.
  5. Communicate and Coordinate: Effective communication is essential during change management in CPS. Clearly communicate the proposed changes, their rationale, and potential impacts to all relevant stakeholders. Foster coordination and collaboration between different teams involved in the change process to ensure smooth execution.
  6. Monitor and Control: During the implementation of changes, closely monitor the system's behavior and performance to identify any deviations or unexpected issues. Put in place mechanisms for real-time monitoring, data collection, and analysis to detect and mitigate any adverse effects promptly.
  7. Rollback and Contingency Planning: In case the implemented changes result in undesirable outcomes or failures, it is important to have a well-defined rollback plan. Additionally, develop contingency plans to address unexpected situations or emergencies during the change management process.
  8. Documentation and Knowledge Management: Maintain thorough documentation of all changes made, including the rationale, processes followed, and results obtained. This documentation serves as a reference for future change management activities and ensures knowledge continuity within the organization.
  9. Review and Continuous Improvement: Once the changes are implemented, conduct a post-implementation review to assess the effectiveness of the change management process. Identify areas for improvement and incorporate lessons learned into future change management activities.
Remember that executing change management in CPS requires a holistic understanding of both the cyber and physical aspects of the system. It is crucial to prioritize safety, security, and reliability throughout the change management process to minimize disruptions and ensure the overall stability and functionality of the system.
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More exactly, do you know of a case where there are repeated, continuous data, sample surveys, perhaps monthly, and an occasional census survey on the same data items, perhaps annually, likely used to produce Official Statistics?   These would likely be establishment surveys, perhaps of volumes of products produced by those establishments. 
I have applied a method which is useful under such circumstances, and I would like to know of other places where this method might also be applied.   Thank you. 
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This is for the crushed stone industry in the US:
I'm told these quarterly surveys are for "a select set of companies" which reminds me of how the quasi-cutoff sample of electric sales in the US got started. The electric sales survey of a select group of entities was later modified and used as a sample, first a stratified random sample with a large company censused stratum, and then only the censused stratum as a quasi-cutoff sample, all after starting an annual census of all electric sales by economic sector (residential, etc.), from the production/supply side. If one wanted to monitor the crushed stone industry the same way, I would suggest this approach using a quasi-cutoff sample with a ratio model for prediction, as is done at the US Energy Information Administration (EIA).
Does anyone know of other surveys, each of a select group of larger establishments being followed, where there is a chance to instead have an occasional census to be used for regressor data for the same data items in a more frequent sample?
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How do the new ICT information technologies and Industry 4.0 contribute to improving the efficiency of the functioning of business entities?
The functioning of which areas of economic activity of companies and enterprises is improved by the implementation of ICT information technologies and/or Industry 4.0?
The pandemic has accelerated the implementation of ICT information technology into business operations and the use of the Internet to promote and sell product and service offerings. The SARS-CoV-2 (Covid-19) coronavirus pandemic indirectly accelerated the development of ICT information technology applications in various aspects of business. During the pandemic, lockdowns were introduced on selected, mainly service sectors of the economy. As part of anti-pandemic security instruments, citizens infected with the coronavirus had to stay at home in quarantine for several to several days. As a result, quarantined consumers started ordering and buying products and services more via the Internet. On the other hand, companies under lockdown were able to conduct their business via the Internet. Consequently, many companies and businesses during the pandemic increased their use of the Internet for their business operations. Many businesses have increased the scale of sales of products and services offered to customers via the Internet. Many companies during the pandemic built or developed their online sales platforms. The scale of turnover carried out through the Internet in many companies and enterprises has even increased several times. As a result, the scale of e-commerce increased. The turnover of courier companies increased. E-logistics has developed. The use of ICT information technology and Industry 4.0 in various aspects of business has increased. When placing orders via the Internet and making purchases of products and services, citizens, including consumers and entrepreneurs, increasingly made payments for ordered products, services, semi-finished products, components, raw materials, etc. via the Internet. The development of online payments and settlements has resulted in the acceleration of the development of e-banking, especially online and mobile banking. In enterprises, computerized systems are being developed to support management processes, decision-making processes. The improvement of computerized enterprise management systems is currently being carried out by increasing the scale of use of Internet technologies and Industry 4.0. Examples are investments in computerized management and decision-making process support systems, in which so-called digital twins of economic, business processes and/or specific spheres of conducted production, service, trade, etc. are built. During the pandemic of the SARS-CoV-2 coronavirus (Covid-19), the scale of investment by companies and enterprises in the development of computerized decision-making systems, in which the aforementioned digital twins and other innovations of Industry 4.0 technology are used, increased significantly. The development of information processing technologies in the era of the current technological revolution termed Industry 4.0 is determined by the development and growth of applications of ICT information technologies, Internet technologies and advanced data processing. The technological revolution currently taking place, referred to as Industry 4. 0 is determined by the development and implementation into economic processes of the following technologies: analytical and database technologies Big Data Analytics, Data Science, cloud computing, machine learning, personal and industrial Internet of Things, artificial intelligence, Business Intelligence, autonomous robots, horizontal and vertical data system integration, multi-criteria simulation models, digital twins, additive manufacturing, Blockchain, smart technologies, cyber security instruments, Virtual and Augmented Reality, and other advanced data processing technologies Data Mining. Thanks to the application of new Industry 4.0 technologies, computerized multi-criteria simulation models known as digital twins are now being created in many companies, enterprises and financial institutions. Building digital twins of entire processes of production, service provision, procurement logistics, manufacturing and distribution in information systems, the company obtains an excellent tool to support the process of managing the organization. Also, business analytics combined with Big Data Analytics technology supports the management process of an enterprise, company, financial institution or other type of business entity. With these solutions, it is also possible to create simulation models of the future development of complex, multi-faceted economic, social, financial, pandemic, natural, climatic, etc. processes. With the help of Big Data Analytics, many companies are already carrying out market research based on the analysis of Internet users' sentiment regarding changes in trends in the evaluation of the quality of product and service offerings, company reputation, logos, corporate branding, etc. The applications of Big Data technology in this area, including computerized market research, analysis of Internet user sentiment, in supporting business management processes, I have described in my publications posted on my profile of this Research Gate portal.
In view of the above, I address the following questions to the esteemed community of scientists and researchers:
How do new ICT information technologies and Industry 4.0 contribute to improving the efficiency of business entities?
The functioning of which areas of economic activity of companies and enterprises is improved through the implementation of ICT information technologies and/or Industry 4.0?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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Nice topic, but it needs more depth, So Information, and communication technologies (ICT) and Industry 4.0 can improve the efficiency of business operations in several ways. These technologies can facilitate the automation of certain processes, such as data analysis and management, and can also enable real-time monitoring and control of business operations. They can also help businesses to improve their communication and collaboration with employees, partners, and customers.
The implementation of ICT and Industry 4.0 can improve the functioning of various areas of economic activity within a company or enterprise. For example, they can improve the efficiency of manufacturing processes, supply chain management, and customer service. They can also facilitate the development of new products and services and enhance the ability of businesses to gather and analyze data to inform decision-making.
The COVID-19 pandemic has accelerated the adoption of ICT and Industry 4.0 in many businesses, as companies have had to find ways to continue operating during lockdowns and other restrictions. This has led to an increase in the use of the internet for business operations, including the use of e-commerce, e-logistics, and online payments. The pandemic has also led to an increase in investment in computerized management and decision-making systems, including the use of digital twins and other Industry 4.0 technologies.
The implementation of information and communication technologies (ICT) and Industry 4.0 can improve the functioning of various areas of economic activity within a company or enterprise. Some examples of areas that may be impacted include:
  1. Manufacturing: ICT and Industry 4.0 technologies can improve the efficiency and effectiveness of manufacturing processes through the use of automation, real-time monitoring, and advanced data analysis.
  2. Supply chain management: These technologies can enable more efficient and responsive supply chain operations, including the tracking and management of inventory and the optimization of logistics.
  3. Customer service: ICT and Industry 4.0 can improve customer service through the use of chatbots, online self-service portals, and other digital tools that enable customers to access information and assistance more easily.
  4. Product development: These technologies can facilitate the development of new products and services, including through the use of advanced data analysis, machine learning, and other tools.
  5. Data analysis and decision-making: ICT and Industry 4.0 can enable businesses to gather, analyze, and make use of data more effectively to inform decision-making processes and strategy development.
  6. Communication and collaboration: These technologies can improve communication and collaboration within a company or enterprise, including through the use of video conferencing, messaging, and project management tools.
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My research is about convert agricultural waste into food using food processing techniques. My existing objectives are production, cost analysis, and evaluation of product in terms of color, taste, aroma, etc. I need at least 1 or 2 objectives more.
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+1 objective; agricultural waste recycling
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Think about the issue non-renewable sources of energy vrs renewable energy or dirty economy vrs clean economy, the decision to go green markets or to avoid going green markets affects positively or negatively in the short and long term the dynamics producers vrs consumers.
Hence, each decision has consequences, which raises the question: Who are the winners and losers so far from 2012 green market paradigm shift avoidance?
What do you think?
Please share your own views
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Yes, I can certainly rethink my list of winners and losers in a green market paradigm shift avoidance world.
Winners: -Fossil fuel companies, as they can continue with their business-as-usual practices without facing the pressure of transitioning to cleaner and more renewable energy sources.
-Companies that are able to produce and sell goods and services at a lower cost, as they won't be required to invest in more expensive green technology.
-Industries that rely heavily on fossil fuels, such as the automotive and airline industries, as they can continue to operate without having to invest in more expensive green technology.
Losers: -Environmentalists and activists, as their efforts to push for a shift to green markets will not be successful.
-Companies that produce renewable energy technology, as they will not be able to benefit from the increased demand for their products.
-Consumers, as they will not be able to take advantage of the lower prices that green markets can provide.
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Tax cuts to the rich is the prefer idea on how to promote and expand economic growth in supply side economics despite knowing it does not work as expected. Yet, this policy is usually the first choice in supply side run democracies like in the USA or now the UK when supply side promoters are in power.
Any policy that worsens inequality should be expected in practice to negatively affect economic growth as under extreme inequality or worsening inequality the traditional trickle down should be expected to be mute or not to work as intended. And this raises the question, tax cuts to the rich and the embudo effect, is that why the trickled down effect does not work as intended?
What do you think?
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Dear Lucio, I too am a scientist, and I understand your position. How does equality, beyond that of opportunity, work in any economy? What perpetuates an economy without innovation? Hopefully, your list of publications can provide some insight.
Good luck.
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Have you bought groceries or food lately? Have you noticed that the cost of items that form part of the production cost of the product or service you are buying, like plastic bags or food containers that once were free pollution, are now being charge extra to consumers when buying passing to them the apparent environmental responsibility of dealing with them, but the extra money now you are required to pay for the same plastic bags/containers goes directly to the company profits, not to any private nor government nor even to the same company recycling program as perhaps there is none. And governments seem to be okay with this new practice which is now spreading from major corporations to small businesses leaving consumers with no protection.
In a sense, dwarf green markets provide a cover for companies to pass their cost of production plus the “green grab” to consumers usually without having to disclose in advertising what they are doing so, a kind of deceiving as if those items cost more to companies now increasing their production costs that way, then they should increase the prices of their products or services instead, giving that way the option to consumers to buy at a higher price or not.
So consumers pay more, but their extra pay has not clear environmental benefits from consuming at a higher price, which raises the question, under dwarf green markets are consumers currently being scammed by the business community?
What do you think? Please detail your own view.
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Dear Lucio,
Yes, under dwarfing green markets, consumers are now often misled and/or deceived. For example, food sold in supermarkets as being made from the raw materials of crops grown in fields under a sustainable, pro-environmental organic farming formula and unfortunately this is not always true. This is due to the low level of public awareness of farming according to the formula of sustainable, pro-environmental organic farming and to imperfect quality control systems and ecological issues. Besides, why is it that the costs of using plastic in packaging are still being passed on to consumers and not fully borne by producers. The costs of using plastics in packaging are not only production costs, but also costs resulting from environmental pollution by microplastic particles, costs for the treatment of diseases resulting from environmental pollution, costs related to waste sorting and recycling. Another issue is the increasing practice of companies, businesses, banks and other economic operators to portray themselves in advertising campaigns as economic operators who operate in accordance with business ethics, pro-environmental and pro-climate corporate responsibility, pursue sustainable development goals, applying the principles of the green closed-circuit economy, when this is often not entirely true. In this way, consumers operating in dwarfed pseudo-green markets are misled. Consumers buy products and services on the assumption that they are thus part of a growing sustainable, green, emission-free, pro-environmental closed-loop economy. They purchase products and services offered by economic operators who advertise themselves as companies, firms, banks, etc. that have sustainability, green economy, climate change, etc. as part of their mission. However, the data describing the overall activities of these economic operators show that these issues of sustainability, green economy, pro-climate transition often represent only a small part of their activities and not the whole. Consumers do not have the time or opportunity to verify this. It is therefore necessary to strengthen the control systems carried out by the state's public institutions. Another issue is the pro-climate transformation of the energy sector. Due to the current energy crisis, instead of accelerating the development of renewable and emission-free energy sources, it is the state that is taking a step backwards and developing subsidy systems for rising fossil fuel prices, thus again supporting the development of dirty, emission-intensive energy based on burning fossil fuels. In addition, over the last few years there has been an anti-climate and anti-environmental policy of deliberately slowing down, restricting or blocking the development of renewable and emission-free energy sources. This is the case, for example, in the country where I operate. In view of the above, unfortunately, green markets are still imperfect, overrated and lacking systemic state control.
Warm regards,
Dariusz Prokopowicz
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What do you think are the key factors that could trigger a food crisis in your country in the next quarters and/or years?
Due to many different factors, a food crisis can develop in many countries. The international supply and supply logistics chains that were interrupted during the SARS-CoV-2 (Covid-19) coronavirus pandemic have not been fully rebuilt. Rising fuel prices are driving up the cost of transporting food products to shops. The decline in fertiliser production is also driving up the cost of producing crops. In addition, the war in Ukraine has resulted in a decline in cereal supplies to many countries. The lack of electricity has caused a decline in the production of nitrogenous fertilisers. This then caused a decrease in the production of CO2, which benefits producers of many types of food products. Many food product factories are raising the prices of their products due to increases in raw material, energy and fuel prices. Many production facilities are reducing the scale of production. There may be job cuts. Consumption is falling due to high inflation. If a downturn in the economy occurs in the next quarters, many companies may go out of business and unemployment will rise. In addition, periods of increasingly severe drought, more and more hot days and less and less rain and more and more frequent fires in many parts of the world are causing a significant drop in crop production in agriculture. On the other hand, further food crises may arise in the future in the long term, which will be the result of a global climate crisis developing on a multi-year scale.
In view of the above, I address the following question to the esteemed community of researchers and scientists:
What do you think are the key factors that could trigger a food crisis in your country in the next quarters and/or years?
What should be done to reduce the scale of development of the food crisis?
What is your opinion on the subject?
What do you think about this topic?
Please reply,
I invite you all to discuss,
Thank you very much,
Regards,
Dariusz Prokopowicz
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Dear Dariusz
I dare to assert that all epigenetic factors may initiate a food crisis (Social interaction, war, disease, financial, created deficiencies etc.) More important is to have strategies to contain an emerging problem so that it will not spread globally. To avoid that we formed the UNO. In the post war era we also created the global market. Unfortunately, this is an economic concept that is based on competition and the winner in competition are those with with power. Now we are witnessing the global economy is dividing and consolidating in blocks. Unfortunately, the blocksformation is permananentl restructured and driven by a few war mongers. For them power is more important than food for the global citizen.
Many people are afraid and believe that we have too many people on the globe. For them war is the preferred mode to assure access to food. They cant imagine that with innovation and new circulatory technologies it is possible to multiply food supply. Food shortage is always a distribution problem. There are many actors around that increase value through shortage. The alternative is entrepreneurial collaboration with advanced technologies to assure a very large diversity of healthy food, enhanced with free global trade via internet. Science has failed to convince taxpayer that with sustainable technologies we will always have enough food for everybody.
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Population dynamics is usually linked to system stability. For example, over population is linked to system unsustainability, and possible system collapse through overshooting behavior like ecological overshoot. Population dynamics is rarely linked to market pricing structures as markets are usually presented as supply and demand interactions consistent with their price structures. But market price structures can be seen as linked to the nature of the population they serve. Hence, population dynamics appears to be the connection between market price structure and system stability.
And this raises the question, Is population dynamics the link between market pricing and system stability? I think yes, what do you think?
Please, feel free to share your comments, Yes and why you think is Yes or No, and why you think is No.
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Dariusz, the way you try to share your material is not helpful for sharing ideas ...you say Yes, In will leave it there.
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How can rising inflation be effectively contained?
On the one hand, the various instruments of monetary policy , fiscal policy, ... that have previously been used to stop the rise of inflation are known. On the other hand, for some reason the various anti-inflationary measures applied in 2021 and 2022 are working to a very limited extent. Therefore, can the rise in inflation get out of hand? Could the rise in inflation, the increase in fuel and energy prices and the projected downturn in the economy lead to the emergence of an economic crisis in the following quarters? Could there be an economic recession and stagflation in 2023?
What do you think on this subject?
Please reply,
I invite you all to discuss,
Thank you very much,
Greetings,
Dariusz
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Perhaps a novel way is to make stock exchange investment more alluring which will reduce consumption leading to a drop in inflation. This is what happened in Greece during the end of the 90's when everybody invested in stocks and inflation dragged down by a reduction in consumption pushed inflation from double digits to a level where it was possible for Greece to join the Eurozone.
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Hey there,
i am writing my bachelor thesis at the moment about an LCA for wishbones. Unfortunately i can not find that much literature about the energy amount that is needed for following production processes:
- Aluminium Forging
- Hot Rolling (Steel)
- Steel Stamping
- Metal bending (Steel)
Hopefully someone could help me & send me his assessment about the energy that is needed for those processes (Baste Case: kWh / kg)
Thanks a lot!
Hannes
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Have you looked in Environmental Product Declarations? These are summary LCA documents mainly used by the construction industry. For example look at the website Environdec.
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I am currently conducting a study on the effects of adopting IoT and Big data technologies in a manufacturing facility. I'm trying to get hold of data that would concern the change in the capacity of the plant, the maintenance costs, and OEE. I am aware that there is previous case studies on the matter but I am trying to quantify the change using real data. Does anybody know where I can find production data of a manufacturing facility I can use?
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You would have to get in touch with some of the companies and see if you can request the data. I would imagine not many will be fore coming. However, if you sign a NDA and you arent going to publicise were the data has come from then they may be willing to provide you with the data. Does your University have any collaborations or partnerships with any manufacturing companies. If they have it may be easier for you to go down that route.
Best Regards
Martin
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In the near future some non-biodegradable materials will be replaced in production processes for other, biodegradable. For example, plastics in the European Union until 2021 are to be withdrawn from packaging and replaced with other biodegradable materials such as paper or packaging produced from food, eg from cereals. But this is just the beginning of the revolution in the development of pro-ecological material innovations. This is only the first step towards the withdrawal of plastic as one of the main factors of littering the natural environment.
Do you know other types of examples already implemented or planned to implement projects to replace plastics with biodegradable materials?
Which biodegradable materials will be replaced in the future by plastic that is being phased out of production?
Please, answer, comments. I invite you to the discussion.
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Very interesting topic. In my opinion, bioplastic may a more realistic / alternative solution since the actual research works are focusing on the possibility to elaborate bioplastic from renewable resources, which will have the characteristics to be biodegradable / recyclable.
Here's in attached a recent article treating the economical potential of bioplastic.
Best wishes,
Sabri
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CO2 is used as raw material for chemical syntheses. It paves the opportunity to mitigate the greenhouse gas (GHG) emissions. However, it is not mathematically or logically proved yet that carbon capture benefits the environment in terms of resource efficiency. In my opinion, I believe that the life cycle assesment (LCA) would be the most suitable tool to quantify the resource-based benefits due to carbon based methane (CH4) production and to prove the resource efficacy of carbon capture.
I would like the researchers who read this discussion to provide their own ideas on whether LCA is the most suitable tool to identify the carbon capture resource efficacy or are there any methods better than LCA that can be applied on CO2 based methane production.
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"Life cycle assesment (LCA)" could be jointly addressed with the "circular economy (CE)" and the "ecosystem service valuation (ESV)", as an integrated tool to "quantify the resource-based benefits due to carbon based methane (CH4) production". Besides, this integrated approach can better control the excessive use of material, lowering the energy needs for new products, saving natural sources from overexploitation and environmental degradation, managing labour's capital, and proving the resource efficacy of carbon capture.
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We hear about environmental problems or social problems or socio-environmental problems associated with business as usual, problems being exacerbated currently by over population pressures and overshooting pressures. Hence, all those problems and pressures seem to be associated with non-optimal market conditions in practice, but conditions that are assumed to be optimal in theory, hinting towards a practice-theory inconsistency problem.
And this raises the question, Is the destruction of full optimality at the heart of system unsustainability problems? I think yes, what do you think?
Note: Moving away from full optimality thinking is what is meant here when saying "the destruction of full optimality".
Please, feel free to express your own views on the question, Yes, and why you think so? No, and why you think so?
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Dear Lucio
What I tried to say is that, in my view it is characteristic to the sustainability-related discussion in economics to disregard the factor time when talking about pricing and equillibrium.
Regards
Michael
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Are the targeted aging of products used by producers, deterioration of product quality, shortening the life cycle of products is a solution to the problem of overproduction, ie excess supply versus demand or rather overproduction of fast-wearing products and accelerated growth of waste and debris, increase in non-renewable raw materials consumption, increasing costs of reclamation, environmental protection, health protection and other additional social costs?
Please reply
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From the beginning of the industrial revolution and the description of the functioning of enterprises in the conditions of market structures, in the trend of classical economics, three types of production factors dominated in the production processes defined by three slogans: land, labor, capital.
However, successively with the development of industry and technological progress in the 20th century, other categories of production factors, typical for economies largely based on information, are added to these classic factors of production.
These factors of production, whose role in many industries has been growing since the 1960s include: knowledge, information, technology and innovation.
In view of the above, the current question is: In what branches of industry such production factors as knowledge, information, technology and innovation are currently or become the most important?
Please, answer, comments. I invite you to the discussion.
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Dear Alhaji Ahmadu Ibrahim,
Yes, intellectual capital is one of the most important success factors for many business entities and projects implemented in various spheres of human activity.
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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Demographers estimate that by 2050, the number of people on Earth will reach 10 billion. With such a number of people, the agricultural economy, logistics of food supplies and people's eating habits will have to change. It is likely that economics will force these processes, which will result in the transition of the majority of humanity to nutrition mainly based on vegetable and vegetarian diets. Meat production is many times more expensive than the production of cereals, fruits and vegetables. In addition, according to scientific research and the theory of futurologists, the production of traditional meat, e.g. pork and beef, may be replaced by the production of protein from insect breeding. Research shows that there are more proteins in the bodies of insects than in traditional meat dishes. In addition, the logistics of food supplies, agri-food products will have to improve. Systems for matching agricultural and reptile production to the current needs of the industry and the nutritional needs of people will be improved so as to reduce the scale of food wastage. The biggest threat to the implementation of this plan may be unexpected atmospheric phenomena, natural disasters, droughts, hurricanes, tropical heat in the areas in which agricultural crops have been cultivated so far. In addition, industrial exploitation of arable land and climate change causes soil depletion and the disintegration of areas suitable for agricultural production. Therefore, it will be necessary to continue the technological progress in the production of crops, in biotechnology, in the creation of new plant varieties resistant to pests and adverse climatic changes.
Please, answer, comments. I invite you to the discussion.
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With rising income food consumption patterns also change. Calorie intakes of poor and rich people are surprisingly similar, but rich people consume more protein. This adds about a further 1 percent growth to food demand which means that the world will need to produce approximately two percent more food annually if today’s poor become rich. The growth of supply needed for the future about 2 percent annually has to come mainly from available farmland to avoid an overly negative impact on fragile ecosystems. This requires finance, investments, innovation, and knowledge to improve the yields at existing farmlands. The yield gap between what’s needed and what’s being produced is still very high. On the other hand, reducing food waste can have a significant impact on the availability of food. Reducing food waste can improve the efficiency of food value chains and help to distribute food more evenly to those in need.
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What kind of scientific research dominate in the field of Smart production?
Please, provide your suggestions for a question, problem or research thesis in the issues: Smart production.
Please reply.
I invite you to the discussion
Thank you very much
Best wishes
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Dear Dr. Dariuscz Prokopowicz,
I consider that the type of scientific research that dominates in the field of "intelligent production" revolves around theoretical discussions about the existence of "intelligent territories", generating in turn a concept that has been developed recently, taking as bases the notions of:
a) "Knowledge Society"
b) "Knowledge Economy"
c) "Sustainable Development"
d) "Social Inclusion".
These are new types of territorial spaces in which we interact for the sake of a new advance in the Economy and thinking about the New Social Structures that are being generated after Covid-19 with new behaviors of Human Beings.
My respects.
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To support the debate I enclosed the slides of IEOM South America 2021 keynote.
My guess:
The future performance of production and logistics relies on knowledge-intensive technologies, components and systems. The development of this strategic knowledge depends on a close collaboration between industry and academia in research projects and education initiatives.
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Please have look on our(Eminent Biosciences (EMBS)) collaborations.. and let me know if interested to associate with us
Our recent publications In collaborations with industries and academia in India and world wide.
EMBS publication In association with Universidad Tecnológica Metropolitana, Santiago, Chile. Publication Link: https://pubmed.ncbi.nlm.nih.gov/33397265/
EMBS publication In association with Moscow State University , Russia. Publication Link: https://pubmed.ncbi.nlm.nih.gov/32967475/
EMBS publication In association with Icahn Institute of Genomics and Multiscale Biology,, Mount Sinai Health System, Manhattan, NY, USA. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/29199918
EMBS publication In association with University of Missouri, St. Louis, MO, USA. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30457050
EMBS publication In association with Virginia Commonwealth University, Richmond, Virginia, USA. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27852211
EMBS publication In association with ICMR- NIN(National Institute of Nutrition), Hyderabad Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/23030611
EMBS publication In association with University of Minnesota Duluth, Duluth MN 55811 USA. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27852211
EMBS publication In association with University of Yaounde I, PO Box 812, Yaoundé, Cameroon. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30950335
EMBS publication In association with Federal University of Paraíba, João Pessoa, PB, Brazil. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30693065
Eminent Biosciences(EMBS) and University of Yaoundé I, Yaoundé, Cameroon. Publication Link: https://pubmed.ncbi.nlm.nih.gov/31210847/
Eminent Biosciences(EMBS) and University of the Basque Country UPV/EHU, 48080, Leioa, Spain. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27852204
Eminent Biosciences(EMBS) and King Saud University, Riyadh, Saudi Arabia. Publication Link: http://www.eurekaselect.com/135585
Eminent Biosciences(EMBS) and NIPER , Hyderabad, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/29053759
Eminent Biosciences(EMBS) and Alagappa University, Tamil Nadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30950335
Eminent Biosciences(EMBS) and Jawaharlal Nehru Technological University, Hyderabad , India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/28472910
Eminent Biosciences(EMBS) and C.S.I.R – CRISAT, Karaikudi, Tamil Nadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30237676
Eminent Biosciences(EMBS) and Karpagam academy of higher education, Eachinary, Coimbatore , Tamil Nadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30237672
Eminent Biosciences(EMBS) and Ballets Olaeta Kalea, 4, 48014 Bilbao, Bizkaia, Spain. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/29199918
Eminent Biosciences(EMBS) and Hospital for Genetic Diseases, Osmania University, Hyderabad - 500 016, Telangana, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/28472910
Eminent Biosciences(EMBS) and School of Ocean Science and Technology, Kerala University of Fisheries and Ocean Studies, Panangad-682 506, Cochin, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27964704
Eminent Biosciences(EMBS) and CODEWEL Nireekshana-ACET, Hyderabad, Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/26770024
Eminent Biosciences(EMBS) and Bharathiyar University, Coimbatore-641046, Tamilnadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27919211
Eminent Biosciences(EMBS) and LPU University, Phagwara, Punjab, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/31030499
Eminent Biosciences(EMBS) and Department of Bioinformatics, Kerala University, Kerala. Publication Link: http://www.eurekaselect.com/135585
Eminent Biosciences(EMBS) and Gandhi Medical College and Osmania Medical College, Hyderabad 500 038, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27450915
Eminent Biosciences(EMBS) and National College (Affiliated to Bharathidasan University), Tiruchirapalli, 620 001 Tamil Nadu, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/27266485
Eminent Biosciences(EMBS) and University of Calicut - 673635, Kerala, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/23030611
Eminent Biosciences(EMBS) and NIPER, Hyderabad, India. ) Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/29053759
Eminent Biosciences(EMBS) and King George's Medical University, (Erstwhile C.S.M. Medical University), Lucknow-226 003, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/25579575
Eminent Biosciences(EMBS) and School of Chemical & Biotechnology, SASTRA University, Thanjavur, India Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/25579569
Eminent Biosciences(EMBS) and Safi center for scientific research, Malappuram, Kerala, India. Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/30237672
Eminent Biosciences(EMBS) and Dept of Genetics, Osmania University, Hyderabad Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/25248957
EMBS publication In association with Institute of Genetics and Hospital for Genetic Diseases, Osmania University, Hyderabad Publication Link: https://www.ncbi.nlm.nih.gov/pubmed/26229292
Sincerely,
Dr. Anuraj Nayarisseri
Principal Scientist & Director,
Eminent Biosciences.
Mob :+91 97522 95342
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Does production management using Internet of Things technology streamline production management processes and does it increase the economic efficiency of the company's operation?
Please reply
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Dear Mauro Luisetto,
Thanks for the kind words regarding the issues of this discussion regarding the issue of production management using Internet of Things technology.
Thank you very much,
Regards,
Dariusz Prokopowicz
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By 2040, a deficit of clear water will appear in most countries in the world.
On the one hand, the use of water in the production industry of various technical and automotive goods is growing, but also in some areas of food production.
For example, 1650 liters of water absorbs, for example, the production of 1 hamburger, because the production of meat absorbs very large amounts of water.
In addition, a progressive global warming process and more and more frequent droughts appearing in various places around the earth, mainly in the subtropics and in some places of the temperate climate.
In connection with the above, the question becomes more and more relevant:
How should you improve the economical sustainable environmentally friendly clean water economy?
How to improve the processes of purification of used, contaminated water?
How to obtain water develop technologies for desalination of sea water or condensation of water in areas subject to periodic drought?
How to improve the extraction of pure Oligocene water contained in the Earth's crust in desert areas?
Please reply
I am conducting research on this issue. I have included the conclusions of my research in the following articles:
Key aspects of the negative effects of the progressive process of global warming and the associated necessary acceleration of the processes of green transformation of the economy in order to decarbonize the economy, slow down the process of global warming, protect the climate, biosphere and biodiversity of natural ecosystems of the planet I described in the article:
IMPLEMENTATION OF THE PRINCIPLES OF SUSTAINABLE ECONOMY DEVELOPMENT AS A KEY ELEMENT OF THE PRO-ECOLOGICAL TRANSFORMATION OF THE ECONOMY TOWARDS GREEN ECONOMY AND CIRCULAR ECONOMY
In the following article, I included the results of the research conducted on the connection of the issue of sustainable development, the genesis and meaning of the Sustainable Development Goals, the essence of sustainable development in the context of social, normative, economic, environmental, climate aspects, as well as human rights, etc. The research also addressed the issue of key determinants of human existential security as an element of the concept of sustainable development.
HUMAN SECURITY AS AN ELEMENT OF THE CONCEPT OF SUSTAINABLE DEVELOPMENT IN INTERNATIONAL LAW
Best wishes
I would like to invite you to join me in scientific cooperation,
Dariusz Prokopowicz
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One of the serious negative effects of the accelerating global warming process is the increasing drought, falling rainfall, drying up water reservoirs, ponds and rivers, and subcutaneous waters. According to the results of scientific research, water obtained from deep-sea deposits, which was formed during ice ages thousands of years ago, should not be used for watering lawns only for the most important needs, i.e. for drinking and hygiene. On the other hand, for watering lawns, gardens and farmlands, water collected from installations and retention reservoirs, in which rainwater is caught and collected, should be used. In addition, other sources of water used in various applications, including watering lawns, gardens, farmlands, should also be obtained from seawater desalination plants and sewage treatment plants.
Best regards,
Dariusz Prokopowicz
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Dear Colleague,
Part of my Ph.D. thesis needs to be completed questionnaire, which, unfortunately, due to Covid 19, we cannot attend the company under review. For this reason, I request supply chain experts who wish to complete the questionnaire to notify me, that I will email the questionnaire to them. It would be your generosity to respond to the questionnaires and also distribute them among your colleagues, students, and networks.
Thank you in advance for your help and cooperation.
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thank you so much, I sent it to your email
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I would like to know about all the molecules that can be expressed by/in CD8 T cells
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Hi Fa,
Your question appears simple but there are several answers depending on the species (human vs mouse) and the state of the CD8 T cell activation.
Naive CD8+ T cells express CD62L (L-selectin) integrin, IL-7Ra (CD127), S1PR1 and CCR7 chemokine receptors.
They also express the costimulatory molecule CD28 and negative regulators of T cell activation such as TGFbRI and VISTA. These are all surface markers but they also express specific transcription factors such as Foxo-1 and KLF-2
Just after activation and during priming, CD8 T cells upregulate the expression of CTLA-4 and CD69 then later PD-1, and LAG-3 as well as Fas. As the CD8 T cells are primed for cytotoxic potential, they express Granzyme B (GzmB) and Perforin.
CD44 is an excellent marker for antigen experience of mouse T cells.
However, human CD8 T cells are different since naive cells are CD45RA+ CD45RO- while effector T cells are CD45RO+ CD45RA-
However, there are many more molecules than those I just listed. For a more comprehensive knowledge of these, please refer to these resources:
2-ImmGen is also a terrific resource where you can check for the expression of specific markers
There is one minor, yet important point to consider. The classically defined CD8+ T cell subset is the αβ CD8 T cell. However, there are also αα CD8 T cells which are part of intraepithelial T cells in the intestines.These cells do not express the β TCR subunit and their role in gut homeostasis remains unclear.
I hope this reply was of any help.
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I was wondering if ecosystem metabolism (GPP-ER=NEP) could be measured using BOD bottles that are not completely filled with water (dark-light bottle method). In such a case, which problems could come from this approach?
Do you have a reference that could be useful to discern which method to use?
Thank you!
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What modern, computerized information technologies in the field of Industry 4.0 are used to implement improvements in production logistics or other logistics areas, such as distribution logistics, supply logistics, transport logistics, etc.?
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In recent years, the improvement of production logistics is carried out by optimizing the processes of managing the supply of raw materials, semi-finished products and prefabricated products to specific stages of the production process in accordance with the concept, e.g. just in time. The improvement of production logistics is also made through the optimization of the consumption of raw materials, energy, etc. as part of the improvement of technological production processes. The aforementioned improvement of technological production processes is carried out by implementing such Industry 4.0 technologies as smart technologies, learning machines, network development engineering, industrial Internet of things, automated machines and robotics, horizontal and vertical data system integration, multi-criteria simulation models, additive manufacturing, etc.
Best regards,
Dariusz Prokopowicz
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What types of restructuring processes are used to implement improvements in production logistics or other logistics areas, such as distribution logistics, supply logistics, transport logistics, etc.?
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The SARS-CoV-2 (Covid-19) coronavirus pandemic, through its impact on economic processes in many production companies, accelerated the development restructuring processes implemented through the implementation of new Industry 4.0 technologies, including the use of smart technology, the Internet of Things, learning machines, robotics, artificial intelligence, cloud computing etc. and improvement of production logistics. Currently, many production companies are creating platforms that enable the implementation of team engineering projects implemented in the form of remote work and with the use of the so-called. digital twins of specific designed production processes, complex product designs, multi-stage technological, manufacturing, production processes, etc.
Regards,
Dariusz Prokopowicz
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Productivity is a key aspect of economic growth. However, it is also important to choose what should be produced with the growing importance of taking into account the issue of ecology, care for the protection of the natural environment.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
What is the significance of the development of production and the productivity in modern economies?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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… Clearly, increasing resource productivity is the way to resolve conflicts between future development and heavy resource burdens … The primary requirement for long‐term resource productivity development is increased income levels leading to higher resource productivity …Gan, Y., Zhang, T., Liang, S., Zhao, Z., & Li, N. (2013). How to deal with resource productivity: Relationships between socioeconomic factors and resource productivity. Journal of Industrial Ecology, 17(3), 440-451.
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Despite green market thinking being here formally since 2012 Rio +20 conference finding a definition of a true green market is hard to find even in major publications dealing with green growth and green economies…the term green market a kind of disappeared as we moved towards an environmentally friendly world after 2012, and because it was left unattended in development and economic thinking circles this has led since then to confusion and misused of the term.
Many forms of environmentally friendly markets are called green markets, when they are not. For example, a Google search of what is a green market leads to the following definition in Wikipedia:
--The term "green market" refers to the fact that the resold goods are put back into productive use, which is the most environmentally friendly use of used or discontinued products--
But that is a definition of one type of environmentally friendly market, but that is not the definition of a green market. And this lead to the questions, what is a green market? What is not a green market?. Please feel free to comment, what do you think a green market is and/or what it is not; and why?
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Marketing as a response and translation of the social and environmental responsibility requirements of marketing, An action for current environmental challenges Green Marketing is known as: “An integrated, systematic process that aims to influence customers' preferences by pushing them to acquire harmless products. Environment, adjusting their consumption habits, and working to provide products that meet the desires of this trend; So the end result is environmental preservation and protection
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I am using the ANN for a product reliability assurance application, i.e.picking some sample within the production process and then estimating the overall quality of the production line output. What kind of optimization algorithm do you think works the best for solving the ANN in such a problem. ?
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Optimization algorithm in neural network
The process of minimizing (or maximizing) any mathematical expression is calledoptimization. Optimizers are algorithms or methods used to change the attributes of theneural network such as weights and learning rate to reduce the losses. Optimizers are used to solve optimization problems by minimizing the function.
Regards,
Shafagat
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What factors brought the euro value of the GBP from 1.5 euro in 2004 to 1.06 euro today?
A -41% loss, of the British Pound, that's a lot.
How could this happen?
Is it a cause a consequence of Brexit?
Does it reveal a weakness of the British Economy versus the Eurozone?
Is it an opportunity of increased competitiveness of UK, to export goods and services becoming cheaper if produced in the UK than in the Eurozone (UK vs Eurozone, comparable to Mexico vs USA?)
Your views?
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Teething problems are bound to occur soon after Brexit and I am not particularly worried by the weakness of the GB pound against the Euro.. Given the fact that billions of GB pounds have recently been negotiated and generated by the UK in new world economies, that the FTSE has gone up by 9 notches recently, that new world markets are currently being negotiated in New Zealand, the USA, Australia and the Pacific countries I am confident that the GB pound will recover handsomely. A word of caution. I am not an economist and do not profess expertise in high finance. The view expressed above is a layman's view based on what facts he knows of.
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Dear all, I am currently using Qiagen miRNA profiler plates (catalogue number: MIBT-659ZF-24) to identify deregulated miRNAs in cattle under certain physiological condition.
I have ordered the product and the product arrived as well, however I did not find any product manual and the plate layout of that particular product in the internet page of the company. If someone used it before can you please provide me the plate layout.
Thanks in advance.
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Hi Dr. Hasan,
Did you get the plate layout for 384 well formats? I'm looking for miRNA list on the panel, if you have would you please share it.
Thanks,
Ankita
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Every year, millions of tons of food of food are wasted in every highly developed country. How should the logistics of deliveries of agricultural products be improved and the consumers of food products to be more economical in order to economise the purchased food so that citizens do not throw so much food into the trash? How to change the habits of consumers? What institutions should still be created to take away unused food from consumers and, if it is suitable for consumption, efficiently, systematically transfer it to poorer countries in which food is lacking? In connection with the above, the current question is: How can the food waste in developed countries be systematically reduced?
Please reply. I invite you to the discussion.
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Yes, unfortunately the scale of food waste is still high. Systems and instruments for reducing food overproduction, logistics for transporting food products, storage and consumption should be improved. It is necessary to limit the scale of throwing away food products in order to reduce the waste of inputs, raw materials, energy and natural resources. In addition, limiting the overproduction and scale of throwing away food products also reduces the scale of environmental pollution, e.g. chemical plant protection products used in the production model of agriculture, reducing the scale of greenhouse gas emissions from intensive, productive livestock farming, reducing the scale of water consumption, etc.
Best regards,
Dariusz Prokopowicz
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Do the shortening of life cycles of technical products, electronics, household appliances, IT equipment, etc. used by producers is a solution to the potential problem of overproduction?
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No, This will create more overproduction.
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One of the areas that are among the greatest future achievements of the 21st century is the creation of artificial intelligence, which will find applications in various types of information systems used in industry and information services, processing huge data sets, Big Data database systems, forecasting and managing complex organizations. Currently, innovations are being created in various fields of production and services, generation of new technological solutions. New technological solutions, including technical, product, process, organizational and other innovations in their essence are the result of creativity and creative ingenuity of inventors. If innovation is inseparably connected with the human need of creativity of intelligence and perhaps also some kind of artistry, then whether artificial intelligence in the future will be able to replace man in these types of human creative activity. Will artificial intelligence be able to learn artistry in the matter of generating innovative technological solutions, will it create innovative technologies according to strictly or generally defined determinants, defined variables, determined factors? Will artificial intelligence be able to generate innovative technologies as a response to the question asked for the Smart Data database system?
Please reply.
I invite you to the discussion.
Thank you very much.
Best wishes.
Dariusz Prokopowicz
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Artificial intelligence must build its own "Cheops Pyramid"... people will not be able to understand it
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Logistics of production + Business Intelligence + Internet of Things + Learning machines + Internet + Big Data = Advanced analytics supporting production logistics processes?
Is the combination of currently developed technologies of Industry 4.0, ie above all advanced information technologies: Business Intelligence + Internet of Things + Learning machines + Internet + Big Data and Internet ICT and their application in the field of production logistics will lead in the next years to the emergence of advanced support analytics production logistics processes, including the development of production e-logistics?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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... Industry 4.0 is expected to have a significant impact on supply chains, business models, and processes in order to achieve an MSC. Researchers use different names for Industry 4.0 in the supply chain management context: digital supply network (DSN), Internet of Things, E-Supply Chain, Supply Chain 4.0, E-logistics, or Logistics 4.0...Industry 4.0 increases digitalization and automation in manufacturing, and creates a digital process to facilitate interaction among all parts of a company. By implementing Industry 4.0 in the supply chain systems, four main SC elements—integration, operations, purchasing, and distribution—are affected and can increase the productivity of companies as well (Kayikci, 2018).... The main benefits of Industry 4.0 in the SC are to reduce the lead time for delivery of products to customers, reduce the time to respond to an unforeseen event, and to prompt a significant increase in decision-making quality (Barreto et al., 2017).... Industry 4.0 can help companies afford complicated and dynamic processes in their SC and to handle large-scale production and integration of customers (Rennung et al., 2016).... Industry 4.0 can bring positive benefits in current sales and operations planning and also in the logistics process (Santos et al., 2017).... After implementing Industry 4.0, real-time information can be shared across this digitalized process to drive useful decisions. ...
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What could be the main design challenges in aquaculture engineering? in what kind of aquaculture sector?
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I think...it all about the countries....which really pay attention on the design or not...I mean limitations generate the ideas some time...RAS is not that popular in India but it popular in other countries.... similarly bund breeding is quite famous in India but less in other countries...if we will think about cage western world is leading but still in so many countries...it's not up to the mark...so i think all the aquaculture enngg design need to work out efficiently....
Further I would like to suggest about the vertical farming model...which may be very useful in the coming future..
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As you know, The piezoelectric and FGM can be used in the faces of sandwich structures, concurrently. What is the procedure of production of this kind of sandwich?
What is the goal of using piezoelectric and FGM in sandwich structures, concurrently?
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FGPM is a kind of piezoelectric material intentionally designed to possess desirable properties for specific applications, and featuring material composition and properties varying continuously in desired direction(s). Smart structures or elements made of FGPM are thus superior to conventional sensors, and actuators are often made of uni-morph, bi-morph, and multimorph materials. This is because, for piezoelectric laminates with layered materials having homogeneous properties, large bending displacements, high-stress concentrations, creep at high temperature, and failure from interfacial bonding frequently occur at the layer interfaces under mechanical or electric loading. These effects can lead to reduced reliability and lifespan.
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Hello! I'm a graduate student and this is my 4rd month in lab. Because of my project coworker is quit, Im the only one in ROS project. And I dont have a great background about that. Our first goal is production of ROS by chemicals so May you help me about this ? Maybe about literature survey or protocols? Im so confused since Im so new about researching. Thank you.
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Dear Dilara,
For production of superoxide anion radical by chemicals you can used KO2. But after addition of KO2 to aqeous solution, the superoxides are disproportioned with formation of H2O2. So if you need to have a solution of superoxide you can prepare the solution by dissolving KO2 with DMSO (dimethyl sulfoxide) in the presence of 18-Crown-6 (1,4,7,10,13,16-hexaoxacyclooctadecane). The superoxide is stable in this solution for several hours.
For enzymatic generation of superoxide you can used the oxidation of xanthine by xanthine oxidase. The method is widely used for generation of superoxide and you can easily to find in many papers.
For production of hydroxyl radical you can use the Fenton reaction which is
M+(n-1) + H2O2 = M+n + OH- + HO•
where FeCl2 is usual used as M+(n-1)
So you can prepare the solution of H2O2 and then add FeCl2
The most usual mechanism of singlet oxygen generation is photosensitization, i.e. reaction of 3O2 with a photoexcited dye molecule (1S*). 3O2 is a ground state of oxygen.
1S* + 3O2 = 3S + 1O2
Rose Bengal is usual used as a dye molecule. So 1O2 can be produced by illuminating of solution in the presence of Rose Bengal. The rate of production is depended on light intensity and concentration of dye.
Information about detection you can find in this review
Mattila H., Khorobrykh S., Havurinne V., Tyystjärvi E. (2015) Reactive oxygen species: Reactions and detection from photosynthetic tissues. J Photochem Photobiol B., 152 (Pt B), 176-214.
Best regards,
Sergey
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Imagine there are NO production costs, neither economic costs,…..
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How production would be priced then?
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And this answer brings the question: How perfect market competition theory, short term and long term, would look like under full cost externalization? What are the sustainability implications of this?
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Any ideas!
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Note: This question and answer are related to my current project/article on the works shared below: “The road towards sustainability markets: Linking cost externalization to market structure and price structure using qualitative comparative means. https://www.researchgate.net/project/The-road-towards-sustainability-markets-Linking-cost-externalization-to-market-structure-and-price-structure-using-qualitative-comparative-means
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You are right to state that, under the current economic conditions, money is access to energy, i.e. your mind game, Lucio, requires a different monetary system, where the money supply is tied to a clean energy index or the like. Coasian bargaining could be a helpful tool to develop such an economic thought model. Economic systems evolution does not happen from alone, it requires creative thinkers like you, who anticpate alternative pathways for the eco-logical working of future markets. Concerning horses, our last working horse (‘Rudolph’) for farm work died in 2012, but I never went to school by horse, only by a little donkey (‘Francis‘).
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What do you think about the interest of algae?
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Global demand for algal foods is growing, and algae are increasingly being consumed as functional food. Please see the following RG links for details.
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I need an article, paper, book, etc. for mixed or multi-model of assembly line problem. However, any article related to multi-objective ALBP is very useful for me too.
Obviously, the difference between the mixed model and the multi-model line is the batch sizes defined for various types of products in multi-model ALB.
Regards,
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Dear Nima Pasha,
I recommend an article that describes the solution to a mixed or multi-model pipeline problem.
V. E. Lelyukhin and O. V. Kolesnikova, "Strategy for the Formation of Production Plans for Small-Serial Machine-Building Enterprises," 2019 International Science and Technology Conference "EastСonf", Vladivostok, Russia, 2019, pp. 1-6. doi: 10.1109/EastСonf.2019.8725334
Regards,
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The production line is arranged so that the product is moved sequentially along the line and stops at work centers along the line where an operation is performed. The lean six sigma is to eliminate mistake, reduce cost and to improve efficiency by cutting unnecessary steps.
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There is a strong connection between the way assembly lines are planned and organized, and common Six Sigma practices and principles. It should come as no surprise to anyone experienced in either of the two fields that there are some very strong positive implications in both directions, and it’s a good idea to understand the general idea behind assembly lines as a leader trying to implement lean principles in their organization. And to that end, Six Sigma offers a very powerful set of tools that can help you progress through the field at a rapid pace.
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I need to know the emissivity values of vegetation cover and water bodies from a MODIS product MOD11A2 and there are two bands 31 and 32, which one to be used and what is the difference between them both? Also, is there any better product for the emissivity?
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I would ask ask a question in line with this conversation topic. I am looking for Land Surface Temperatures at night time with satellite data that covers Europe. Modis offers some interesting data at night with a resolution of 1km, for example water vapour. On the other hand, there are some strategies to obtain LST with Landsat 8 by previously calculating the NDVI and use it in combination with the TIR band. Do you know another strategy with which I can get the result with the greatest rigor and spatial resolution as possible? Thanks in advance.
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I am doing a research on impact on purchase behavior of millennials when they come across green products or Eco-friendly products. I need to find the gap in this research. 
Thank You
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read this article on Green products and factors effecting PI of green products.
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