Science topics: Engineering
Science topic

Engineering - Science topic

This research group is created with an intention of making an interaction among the research scholars, professors, scientists, engineers & technologists working in the field of Engineering, so that today’s novel ideas can become reality of tomorrow and these all can be implemented in a more constructive manner for the welfare of whole mankind
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  • Papers should be submitted by February 29th, 2024
Guest Editors
Theme
The digital and green transitions represent transformative shifts that are reshaping the economic, social, and environmental landscapes in the 21st century (Rehman et al., 2023). These shifts intertwine profoundly, giving rise to emerging spaces for nurturing new entrepreneurial opportunities. The green transformation sets the strategic direction for the change and innovation process, while the digital transformation equips us with the tools to effectively implement the strategy and take action.
The digital transformation encompasses the pervasive adoption of digital technologies across industries, sectors, and social life, impacting organizational strategies and core processes, peripheral activities, and the external environment (Plekhanov et al., 2022). This transformative journey is driven by the rapid evolution of technologies within the Industry 4.0 paradigm, including artificial intelligence, data analytics, blockchain, and cloud computing. By enhancing process efficiency (Westerman et al., 2014; Holmström et al., 2016), customer experience (Bloomberg, 2018), products and services flexibility (Nambisan et al., 2017), decision making quality (Pigni et al., 2016), and actors networking (Boueé & Schaible, 2015; Destefanis et al., 2020), digital transformation also unlocks new avenues for innovation while posing challenges in privacy, data security, and regulatory compliance (Dąbrowska et al., 2022; Elia et al., 2022).
Notably, recent research emphasizes the significant contribution of digital transformation in facing environmental and social challenges characterized by high levels of complexity (many actors involved and variables interested), uncertainty (insufficient knowledge available to take actions), and evaluativity (multiple interpretations) such as ending poverty, mitigating the impact of climate change, promoting human equality (Ertz et al., 2022; Diniz et al., 2022).
Entrepreneurs, in particular, face the imperative of integrating these digital innovations into their strategies and operations, to sustain their competitiveness and pursue new opportunities. To achieve this, entrepreneurs must strike a balance between internal organizational factors such as resources and capabilities which are the most relevant, and external factors such as competitive pressure, industry characteristics, which are less significant (Omrani et al., 2022).
Simultaneously, the green transformation embodies the global imperative to embrace sustainable practices, combat climate change, and address the environmental crisis by prioritizing natural resources preservation and societal well-being by seeking energy efficiency, and emission reduction (Chen et al., 2023). This shift entails adopting of renewable energy sources, sustainable manufacturing processes, and eco-friendly business practices. Consequently, organizations are urged to adopt new strategies, experiment with new approaches and tools aiming at reducing the carbon footprint and greenhouse gas emissions. This includes exploring new and alternative forms of energy production, optimizing energy consumption, improving waste management processes, fostering the development of sustainable products, services and business models (Rehman et al., 2023; Husain et al., 2022).
While green entrepreneurs encounter significant hurdles related to limited finance, strict regulations, economic viability, and low consumer awareness, they hold promising opportunities to ideate and develop new ventures to contribute to sustainable development goals (Lakemond et al., 2021; Devika & Shankar, 2022). In particular, while clean tech startups may lack sufficient resources to develop and scale their business successfully, they can benefit of greater agility for testing, and implementing new business models (O’Reilly et al., 2021).
The convergence of the digital and green transformation combines the advantages of digital technologies adoption with the principles of social and environmental sustainability (Bianchini et al., 2023). This supports both industrial (Yang et al., 2021; Demartini et al., 2019) and environmental sustainability (Hajishirzi et al., 2022; Feroz et al., 2021; de Sousa Jabbour et al., 2018), while creating new social value based on circularity, inclusiveness, and equity (del Hoyo et al., 2021). By harnessing new digital technologies, organizations can ideate, design and implement smart solutions that address the major challenges of the humanity, contribute to achieve the UN Sustainable Development Goals (Diniz et al., 2022; Ufua et al., 2021; ElMassah & Mohieldin, 2020), and create value at both social (Majchrzak et al., 2016) and environmental levels (Kunkel & Matthess, 2020; Balogun et al., 2020).
The intertwining of digital and green transitions presents a new frontier for entrepreneurship, enabling streamlined operations and the emergence of sustainable and regenerative business models (Broccardo et al., 2023; Holzmann & Gregori, 2023; Salimi, 2021; Hahn & Tampe, 2021). This convergence has garnered increased research and policy attention and are at the center of the recovery and resilience plan to relaunch the economy after the Covid19 crisis (Montresor & Vezzani, 2023).
For example, digital platforms implement peer-to-peer sharing economy models, which promote resource efficiency and circular economy practices by allowing users to share, rent, or swap goods instead of making new purchases. Data analytics and artificial intelligence optimize energy use and waste reduction. Other examples include innovative applications for pollution control, waste management, sustainable production, urban sustainability (Feroz et al., 2021), and renewable energy management (Cuenca et al., 2021; Gjorgievski et al., 2021).
Entrepreneurs are reshaping their behavior, operations and innovation practices (Troise et al., 2022; Corvello et al., 2022), in response to these transformations, striving to combine profitable ideas with social and environmental values (Salimi, 2021). While they play a crucial role in this transformation, as they are at the forefront of creating sustainable innovations and establishing green businesses, they also face several hurdles such as stringent environmental regulations, limited access to green financing, and sometimes skeptical consumers.
However, the convergence of these transitions also poses new challenges and efforts for entrepreneurs at industrial, policy, and education levels (Findik et al., 2023; Del Vecchio et al., 2022). Entrepreneurs need to navigate the tensions between digital and green transformations, address the environmental impact of digital technologies and bridge the potential digital divide in sustainable innovation. These transitions, also, significantly impacts entrepreneurial attitudes, skills, and competencies as they strive to align the use of digital technologies with the attainment of environmental sustainability goals (Ferreira et al., 2022). Therefore, entrepreneurs need to develop new capabilities to succeed, such as digital literacy, green innovation skills, a circular economy mindset, and the ability to balance multiple, sometimes conflicting, stakeholder demands.
Universities play a central role in this context by redesigning curricula and adopting new practices that incorporate digital innovations and sustainable development principles and guidelines (Jabeen, 2022). They are called to evolve into fourth generation universities, engaging multiple stakeholders to co-create and promote public value for a sustainable future (Corazza & Saluto, 2020).
This special issue aims to stimulate a comprehensive discussion on how the twin transition influences entrepreneurial action, promoting the development of sustainable businesses and contributing to a greener and more digitally connected future. We welcome theoretical, empirical, and practitioner-oriented research papers addressing (but not limited to) the following topics:
  1. Strategies for integrating environmental sustainability and digital transformation in entrepreneurial ventures
  2. The role of entrepreneurial behavior in driving green and digital transformation
  3. Entrepreneurial mindset and capabilities in navigating the twin transition
  4. The impact of digital technologies on sustainable business models and practices
  5. The fourth-generation of universities engaged in combining digital innovation and sustainable development
  6. The role of policy and regulatory frameworks in shaping entrepreneurial actions towards the twin transition
  7. Case studies showcasing successful integration of green and digital initiatives for entrepreneurship
  8. The challenges and opportunities of the twin transition for start-ups and established businesses
  9. The role of entrepreneurial ecosystems in facilitating the twin transition
  10. The influence of stakeholder perspectives on entrepreneurial decisions in the twin transition
  11. Methodological advancements and novel approaches in researching the twin transition and entrepreneurial behavior
  12. The dark side of the twin transition: e-waste, energy consumption, digital divide, cyber-threats, greenwashing
We encourage interdisciplinary and cross-sectoral perspectives to provide a holistic understanding of the twin transition’s influence on entrepreneurial behavior.
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere.
Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper.
Manuscripts should be submitted through the publisher’s online system. Submissions will be reviewed according to the journal’s rigorous standards and procedures through double-blind peer review by at least two qualified reviewers.
Submission Process
Please prepare the manuscript according to IEEE-TEM’s guidelines (http://ieee-tmc.org/tem-guidelines) and submit to the journal’s Manuscript Central site (https://mc.manuscriptcentral.com/tem-ieee). Please clearly state in the cover letter that the submission is for this special issue.
References
  • Balogun, A. L., Marks, D., Sharma, R., Shekhar, H., Balmes, C., Maheng, D., Arshad, A. & Salehi, P. (2020). Assessing the potentials of digitalization as a tool for climate change adaptation and sustainable development in urban centres. Sustainable Cities and Society, 53, 101888.
  • Bianchini, S., Damioli, G., & Ghisetti, C. (2023). The environmental effects of the “twin” green and digital transition in European regions. Environmental and Resource Economics, 84(4), 877-918.
  • Broccardo, L., Zicari, A., Jabeen, F., & Bhatti, Z. A. (2023). How digitalization supports a sustainable business model: A literature review. Technological Forecasting and Social Change, 187, 122146.
  • Chen, Y., Ma, X., Ma, X., Shen, M., & Chen, J. (2023). Does green transformation trigger green premiums? Evidence from Chinese listed manufacturing firms. Journal of Cleaner Production, 407, 136858.
  • Corazza, L., & Saluto, P. (2020). Universities and multistakeholder engagement for sustainable development: A research and technology perspective. IEEE Transactions on Engineering Management, 68(4), 1173-1178.
  • Corvello, V., De Carolis, M., Verteramo, S., & Steiber, A. (2022). The digital transformation of entrepreneurial work. International Journal of Entrepreneurial Behavior & Research, 28(5), 1167-1183.
  • Cuenca, J. J., Jamil, E., & Hayes, B. (2021). State of the art in energy communities and sharing economy concepts in the electricity sector. IEEE Transactions on Industry Applications, 57(6), 5737-5746.
  • de Sousa Jabbour, A. B. L., Jabbour, C. J. C., Foropon, C., & Godinho Filho, M. (2018). When titans meet – Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? The role of critical success factors. Technological Forecasting and Social Change, 132, 18–25.
  • del Hoyo, R. P., Visvizi, A., & Mora, H. (2021). Inclusiveness, safety, resilience, and sustainability in the smart city context. In Smart Cities and the UN SDGs (pp. 15-28). Elsevier.
  • Del Vecchio, P., Secundo, G., Mele, G., & Passiante, G. (2021). Sustainable entrepreneurship education for circular economy: emerging perspectives in Europe. International Journal of Entrepreneurial Behavior & Research, 27(8), 2096-2124.
  • Demartini, M., Evans, S., & Tonelli, F. (2019). Digitalization technologies for industrial sustainability. Procedia manufacturing, 33, 264-271.
  • Destefanis, A., Neirotti, P., Paolucci, E., & Raguseo, E. (2020). The impact of Airbnb on the economic performance of independent hotels: an empirical investigation of the moderating effects. Current Issues in Tourism, 1-31.
  • Devika, K., & Shankar, K. M. (2022). Paving the way for a green transition through mitigation of green manufacturing challenges: A systematic literature review. Journal of Cleaner Production, 132578.
  • Diniz, E. H., Santos, T. R. R., & Cunha, M. A. (2022). Measuring the Grand Challenge of the Digital Transformation of Society: Practices for Operationalizing Robust Action Strategies. IEEE Transactions on Engineering Management.
  • Elia, G., Raguseo, E., Solazzo, G., & Pigni, F. (2022). Strategic business value from big data analytics: An empirical analysis of the mediating effects of value creation mechanisms. Information & Management, 59(8), 103701.
  • ElMassah, S., & Mohieldin, M. (2020). Digital transformation and localizing the sustainable development goals (SDGs). Ecological Economics, 169, 106490.
  • Ertz, M., Centobelli, P., & Cerchione, R. (2022). Shaping the Future of Cold Chain 4.0 Through the Lenses of Digital Transition and Sustainability. IEEE Transactions on Engineering Management.
  • Feroz, A. K., Zo, H., & Chiravuri, A. (2021). Digital transformation and environmental sustainability: A review and research agenda. Sustainability, 13(3), 1530.
  • Ferreira, J. J., Fernandes, C. I., Veiga, P. M., & Caputo, A. (2022). The interactions of entrepreneurial attitudes, abilities and aspirations in the (twin) environmental and digital transitions? A dynamic panel data approach. Technology in Society, 71, 102121.
  • Findik, D., Tirgil, A., & Özbuğday, F. C. (2023). Industry 4.0 as an enabler of circular economy practices: Evidence from European SMEs. Journal of Cleaner Production, 137281.
  • Gjorgievski, V. Z., Cundeva, S., & Georghiou, G. E. (2021). Social arrangements, technical designs and impacts of energy communities: A review. Renewable Energy, 169, 1138-1156.
  • Hahn, T., & Tampe, M. (2021). Strategies for regenerative business. Strategic Organization, 19(3), 456-477.
  • Holmström, J., Holweg, M., Khajavi, S. H., & Partanen, J. (2016). The direct digital manufacturing (r)evolution: definition of a research agenda. Operations Management Research, 1–10.
  • Holzmann, P., & Gregori, P. (2023). The promise of digital technologies for sustainable entrepreneurship: A systematic literature review and research agenda. International Journal of Information Management, 68, 102593.
  • Husain, S., Sohag, K., & Wu, Y. (2022). The response of green energy and technology investment to climate policy uncertainty: An application of twin transitions strategy. Technology in Society, 71, 102132.
  • Jabeen, F. (2022). The alignment of universities with sustainable development goals: how do academics perceive the progress (not) made?. IEEE Transactions on Engineering Management.
  • Kunkel, S., & Matthess, M. (2020). Digital transformation and environmental sustainability in industry: Putting expectations in Asian and African policies into perspective. Environmental science & policy, 112, 318-329.
  • Lakemond, N., Holmberg, G., & Pettersson, A. (2021). Digital transformation in complex systems. IEEE Transactions on Engineering Management.
  • Majchrzak, A., Markus, M. L., & Wareham, J. (2016). Designing for digital transformation. MIS quarterly, 40(2), 267-278.
  • Montresor, S., & Vezzani, A. (2023). Digital technologies and eco-innovation. Evidence of the twin transition from Italian firms. Industry and Innovation, 1-35.
  • O’Reilly, S., Mac an Bhaird, C., & Cassells, D. (2021). Financing Early Stage Cleantech Firms. IEEE Transactions on Engineering Management.
  • Omrani, N., Rejeb, N., Maalaoui, A., Dabić, M., & Kraus, S. (2022). Drivers of Digital Transformation in SMEs. IEEE Transactions on Engineering Management.
  • Plekhanov, D., Franke, H., & Netland, T. H. (2022). Digital transformation: A review and research agenda. European Management Journal.
  • Rehman, S. U., Giordino, D., Zhang, Q., & Alam, G. M. (2023). Twin transitions & industry 4.0: Unpacking the relationship between digital and green factors to determine green competitive advantage. Technology in Society, 73, 102227.
  • Salimi, N. (2021). Opportunity recognition for entrepreneurs based on a business model for sustainability: A systematic approach and its application in the Dutch dairy farming sector. IEEE Transactions on Engineering Management.
  • Troise, C., Ben-Hafaïedh, C., Tani, M., & Yablonsky, S. A. (2022). Guest editorial: New technologies and entrepreneurship: exploring entrepreneurial behavior in the digital transformation era. International Journal of Entrepreneurial Behavior & Research, 28(5), 1129-1137.
  • Ufua, D. E., Emielu, E. T., Olujobi, O. J., Lakhani, F., Borishade, T. T., Ibidunni, A. S., & Osabuohien, E. S. (2021). Digital transformation: a conceptual framing for attaining Sustainable Development Goals 4 and 9 in Nigeria. Journal of Management & Organization, 27(5), 836-849.
  • Yang, M., Fu, M., & Zhang, Z. (2021). The adoption of digital technologies in supply chains: Drivers, process and impact. Technological Forecasting and Social Change, 169, 120795.
Short biography of the proponents
Antonio Crupi is Assistant Professor at the University of Messina (Italy). He is Research Affiliate at the Institute of Management of Sant’Anna School of Advanced Studies (Italy); and at the Institute of Manufacturing of the University of Cambridge (UK). His research concerns innovation, entrepreneurship, and intellectual property management. His current research focuses on intellectual property rights systems, strategic use of intellectual property, entrepreneurial dynamics, and university‒industry interactions. His works have been published on high-quality peer-reviewed journals and presented at international conferences.
Gianluca Elia is Associate Professor of Management Science and Engineering at the University of Salento (Italy). More than twenty years of experience in teaching and research concerning digital transformation, technology entrepreneurship, knowledge management, collective intelligence, corporate entrepreneurship. His research has been published on high-ranked journals including Technology Forecasting & Social Change, IEEE Transactions on Engineering Management, Industrial Marketing & Management, Business Horizons. He is also co-author and co-editor of five books, and Associate Editor of Computers Application in Engineering Education (Wiley), and International Journal of Knowledge and Learning (Inderscience). In 2014-2015, he was Research Affiliate at the Center for Collective Intelligence of MIT Sloan (USA), and in 2014 Visiting Researcher at the Peking University (China). He has been scientific responsible of numerous research projects at national and international level, and co-founder of the TIE Living Lab (Technology Innovation Ecosystem Living Lab), included in the European Network of Living Lab (ENoLL), which aims to promote and support Open Innovation and User-driven Innovation approaches for the development of Technology Entrepreneurship.
Federico PIGNI is the Dean of Faculty and a Professor of Information Systems at Grenoble Ecole de Management (GEM) in France. He obtained his Ph.D. in Management Information Systems and Supply Chain Management from Carlo Cattaneo University – LIUC in Italy. Prior to joining GEM, he taught at LIUC, Università Commerciale Luigi Bocconi, and the Catholic University in Milan. He served as a Senior Researcher at LIUC’s Lab#ID RFID laboratory and completed a post-doctorate at France Télécom R&D – Pole Service Sciences in Sophia Antipolis, France. He has actively participated in research projects funded by Italian, regional, and EU agencies, as well as private industry and government partners. Federico Pigni is a co-author of the book “Information Systems for Managers: Text and Cases” and has published his research in esteemed academic and applied outlets such as the European Journal of Information Systems, California Management Review, MIS Quarterly Executive, Production, Planning and Control, and International Journal of Production Economics. His current teaching focuses on information systems, and his research interests revolve around value creation and appropriation opportunities arising from big data, digital twins, AI, and next generation networks.
Elisabetta Raguseo is Associate Professor of Strategy and Economics at Polytechnic of Turin (Italy). She is Associate Editor of Information and Management and of Journal of Travel Research. She is Associate of the “Future Urban Legacy Lab” at the Polytechnic of Turin, and Associate and co-founder of the “Entrepreneurship and Innovation Center” at the same university. She is also in charge of the education pillar of the EIT Manufacturing at her university. She was part of the group of experts for the Observatory on the Online Platform Economy of the European Commission (mandate 2018-2021) and a Marie Curie research fellow at the “Grenoble Ecole de Management” (France) in the years 2014-2016. Her research and teaching expertise is in strategic management and digital transformation. Her research has been published on high-ranked and international journals including International Journal of Electronic Commerce, Information and Management, International Journal of Information Management, and many others.
Gianluca Solazzo is Post-Doc researcher and Lecturer at the University of Salento (Italy). His research is cross-disciplinary and focuses on Big Data and Analytics, Digital Transformation, Distributed Application Design and Development. He participated in several Italian and European research projects on e-Business and Knowledge Management, and he has been involved in research activities focused on collective intelligence tools and e-learning applications. His research has been published on leading international journals including Technology Forecasting & Social Change, Industrial Marketing & Management, Computers in Human Behaviour, Information and Management.
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Hi, 🙋‍♂️
I am a PhD student in Marketing Management, looking for a remote research assistant position or collaboration opportunities.
My suggestion is to use a descriptive-analytical approach to collect a collection of data and information about entrepreneurship and tourism with the help of library studies, emphasizing the need to expand it in your region. We can mention about native customs and handicraft products from your region in this research. The main purpose of this paper will be to introduce your region to the world as a tourist destination.
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How do you think artificial intelligence can affect medicine in real world. There are many science-fiction dreams in this regard!
but how about real-life in the next 2-3 decades!?
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AI could pose pandemic-scale biosecurity risks. Here’s how to make it safer
"Advances in artificial intelligence (AI) promise to transform biomedical research, but could pose significant biosafety and biosecurity risks, argue three public health researchers and two policy researchers. They urge governments and AI developers to work with safety and security experts to mitigate harms that could result in the greatest loss of life and disruption to society, such as outbreaks of transmissible pathogens. That means building a scientific consensus through processes that engage diverse, independent experts..."
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You can suggest from Logistic and supply chain management Or Sustainablity management
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Welding of Gen 3 steels
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Is there any "special" didactic for Mathematical Logic, as a subject for Engineering students?
Or it does not worth to take care about how explaining, orienting students, because, any way, it is too difficult, abstract subject for almost everybody....
On the other hand: what kind of content should be taught? Propositional and/or Predicate Calculus? Deductive structures? All them?
Should be used the concept of formal system as framework for systematizing above mentioned contents?
Is the development of abstraction, deductive capabilities, algorithmic thinking, a concern to have in mind when teaching Mathematical Logic?
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Teaching Mathematical Logic to engineering students can indeed be a challenge due to the abstract and formal nature of the subject. However, with effective pedagogical strategies and a clear connection to practical applications, it can be both rewarding and beneficial for students. Here are some considerations for teaching Mathematical Logic to engineering students:
Didactic Considerations
Connect logic concepts to real-world applications, particularly in engineering domains. For example, Boolean algebra has direct applications in digital circuit design, control systems, and programming logic. Use examples that are relevant to engineering problems, such as logical reasoning in software development, circuit design, and systems analysis.
Utilize visual aids such as truth tables, Venn diagrams, and flow charts to help students grasp abstract concepts. Visualization can make complex ideas more tangible.
Encourage collaborative problem-solving sessions where students can work in groups to solve logical puzzles, reason about real-world scenarios, or translate engineering problems into logical models.
Start with propositional calculus as a foundation since it is generally more intuitive. Then gradually introduce predicate calculus and its applications, ensuring students understand the relevance of each concept.
Incorporate problems that require students to apply logical reasoning to solve engineering-related challenges. This approach helps reinforce the practical utility of logic.
Content to Cover
Fundamental concepts such as logical operators, truth tables, equivalences, implications, and normal forms (CNF and DNF). Applications in Boolean algebra and digital logic design.
Introduction to quantifiers, predicates, and their uses in more complex logical reasoning. Applications in databases, algorithms, and programming languages.
Discuss important formal systems, including axiomatic systems and proof techniques (e.g., natural deduction, sequent calculus). Basic proof strategies and reasoning techniques will enhance deductive capabilities.
Focus Areas
Develop students’ abilities to think abstractly and to recognize the structure of arguments and proofs. Emphasize algorithmic logic as it pertains to computational problems and problem-solving in engineering
Encourage logical reasoning and critical thinking, focusing on constructing valid arguments and recognizing fallacies.
Literature and Resources
Consider using foundational texts on mathematical logic that cater specifically to engineering students, emphasizing practical applications. Look for resources that balance theory and applications to maintain student engagement.
Utilize online lectures, MOOCs, and interactive platforms that provide exercises, quizzes, and additional resources.
Explore literature on educational methodologies in teaching logic, focusing on disciplines that involve engineering.
Teaching Mathematical Logic to engineering students is worth the effort, as it enhances their critical thinking skills and prepares them for the logical reasoning required in their fields. By making the subject relevant, interactive, and accessible, educators can help students master logical concepts and apply them effectively in their professional lives. The key Rey Segundo Guerrero-Proenza lies in contextualizing the material and emphasizing the practical applications of mathematical logic within engineering contexts.
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Generative AI (GenAI) is a branch of artificial intelligence that uses models to create new data such as text, images, or videos based on patterns learned from training data. It generates outputs in response to prompts by understanding the underlying structures of the input data.
Let's discuss the potential applications and benefits of Generative AI in biotechnology and explore how it can address current challenges in the field.
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Generative AI offers transformative applications in biotechnology, addressing critical challenges while advancing the field. In drug discovery, AI accelerates de novo molecular design by leveraging algorithms to identify novel pharmacophores, predict ligand-receptor interactions, and optimize pharmacokinetic and pharmacodynamic properties, significantly reducing the timelines and costs associated with preclinical development. It facilitates precision medicine by generating therapies tailored to individual genomic and proteomic profiles while enabling in silico drug repurposing through high-throughput virtual screening. In protein engineering, generative models predict tertiary and quaternary protein structures and elucidate conformational dynamics, enabling the design of therapeutic biologics with enhanced binding affinities and reduced immunogenicity. In synthetic biology, AI-driven sequence optimization enhances CRISPR-Cas9 targeting specificity and metabolic pathway engineering for efficient biosynthesis of bioactive compounds, biopolymers, and therapeutic peptides. Clinical applications include generating synthetic datasets for training radiological and histopathological AI models, simulating patient phenotypes to optimize clinical trial stratification, and enhancing medical imaging modalities through resolution amplification and artifact reduction. These capabilities address pervasive challenges such as sparse datasets, complexity in biomolecular networks, and exorbitant R&D costs. Generative AI also enables multi-omics integration, synthesizing insights from genomics, transcriptomics, proteomics, and metabolomics, fostering a holistic systems biology approach.
For instance, optimization in drug design can be expressed as E = B.A (efficacy = binding affinity × bioavailability), where binding affinity (B) reflects the molecular interaction strength between a ligand and its target, and bioavailability (A) quantifies the proportion of the drug reaching systemic circulation. This succinctly captures how generative AI aids in balancing critical pharmacological parameters to design therapeutics with maximal clinical efficacy. By automating and streamlining these processes, generative AI mitigates the translational gap, promotes global health equity, and fosters interdisciplinary synergies across computational biology, cheminformatics, and biomedical sciences, establishing itself as a cornerstone for innovation in modern biotechnology.
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To exactly quantify the afterlife, first we must confirm, then chart, the probable multiverse through engineering. Then we must engineer a machine to find where one’s individuality goes throughout the multiverse, after death in this universe.
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Response to the Discussion:
Subject: Exploring the Multiverse and Afterlife Engineering
Dear Alexander,
Your discussion on quantifying the afterlife through engineering the multiverse is fascinating and thought-provoking. This intersection of metaphysics, physics, and engineering opens a unique avenue for exploring concepts of consciousness and individuality. Here are a few thoughts on your approach:
  1. Charting the Multiverse:Quantum Physics & Multiverse Theories: Leveraging concepts like quantum entanglement and wavefunction collapse could help in theorizing pathways of individuality across universes. Probabilistic Mapping: Advanced simulations or models could provide insights into probable multiverse structures.
  2. Engineering a Multiverse Navigator:Consciousness Tracking: Investigating consciousness as an energy form might aid in creating devices to map transitions after death. Machine Learning and AI: Integrating AI to analyze vast probabilistic datasets from multiverse simulations could be pivotal.
  3. Ethical Considerations:Research in this area must tread carefully, as quantifying consciousness and individuality touches deeply on ethical and philosophical domains.
Your cited works—A New Type of Humanities, AI Afterlife Preview, and Concisely Quantifying Consciousness—provide intriguing foundations for this ambitious project. It would be fascinating to explore these further and discuss collaborative opportunities.
Invitation to Join Dailyplanet.Club:
I’d also like to invite you to join Dailyplanet.Club, a platform for researchers, visionaries, and innovators to collaborate on groundbreaking ideas like yours.
As a member, you can:
  • Share your work and connect with experts in physics, metaphysics, and engineering.
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Membership is just £5 per year, supporting the platform’s mission to foster innovation and knowledge-sharing. Visit Dailyplanet.Club to join and be part of this unique community.
Looking forward to collaborating with you!
Best regards, James Henderson Mitchell CEO, MJ HSA Ltd
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Dear Researchers,
We hope this new finds you well! Now, we are in the process of editing a publication entitled “AI-Based Solutions for Engineering”, to be published by an international publisher IGI Global. We would like to invite you to submit your research for considering in this book.
Please visit https://lnkd.in/dwKF545R for more details and to submit your work. You can also find manuscript formatting, and submission guidelines https://lnkd.in/duijPr_g.
If you have any questions or concerns, please do not hesitate to contact us. Thank you so much for your evaluation of this invitation, and we hope to hear from you by 22nd December 2024!
Best wishes,
Melda YÜCEL, Hasan Volkan ORAL
Editor
AI-Based Solutions for Engineering
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Dear Mr. Henderson,
Thank you for your evaluation, and comments. We are looking forward your contribution.
Best regards
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Our research team seeks collaborations with academics across all disciplines—engineering, humanities, and medical sciences—to cite our publications. We offer a compensation and recognition program for each valid citation and reference. Please contact us for further details.
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How can offering "compensation" for citations possibly be ethical?
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Are the conferences organized by The International Society for Engineers and Researchers (ISER) fake or real? They seem to organize many conferences each year and there are photos on their website to show those conferences are real. However, it is hard to get hold of the organizer for any detailed information on their conferences.
Anyone has attended their conferences before?
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same happened to me in 2022 in Toronto, Canada
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I'm a student pursuing my Bachelor's degree in animation and gaming and my speciality is in UX for mobile apps I want to create a research report by the end of my semester I do have a basic idea of which topic I should write i.e. UX Engineering but do not know How should I explore more in this topic. Is anyone could give me suggestions on which topic I should go within this particular domain
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Have a look at this presentation, it might spark a few ideas...
Good luck
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I want to know more about mining exploration on field.
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geologist....
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On behalf of the 3rd EAI International Conference on Automation and Control in Theory and Practice: Artep 2025, I would like to bring your attention to an exciting opportunity to publish your research findings in the conference proceeding, organized under the aegis of the European Alliance For Innovation (EAI).
Event Details
Date: February 05th - 7th, 2025.
Venue: SAV Academia hotel, Stará Lesná, Slovakia (HYBRID Mode)
We prepare the event's program to be a suitable platform for presenting the results of your projects, a forum for the mutual exchange of experience, and an opportunity to establish working contacts between the meeting participants.
Key Highlights:
The thematic area of scientific contributions is focused on:
1. Theoretical aspects of automation and control:
modern methods of automatic management,
modelling and simulation,
artificial intelligence in automation and control,
engineering education
2. Modern automation technologies in the context of Industry 4.0
means of automatic control,
HW and SW for the automation of machines and processes,
examples of specific automation and industrial applications,
advanced technologies for Industry 4.0/5.0.
Submission deadline*: 04.11.2024
Notification deadline*: 09.12.2024
Camera-Ready deadline*: 20.01.2025
Accepted papers will be published in the Springer
The previous year proceedings you can find on
Submission is open!
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well done
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Building technology to preview the afterlife presents both scientific and philosophical challenges. The concept of the afterlife is rooted in metaphysical, religious, and spiritual beliefs, which lack empirical evidence and measurable data that technology typically relies on. Science focuses on the material and observable universe, while the afterlife, by definition, transcends physical experience and is often considered beyond the scope of scientific inquiry. Therefore, attempting to build technology for such a purpose would face fundamental limitations in verification, evidence, and universality of belief systems.
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I am reaching out to express my interest in potential research collaboration opportunities in the field of Computer Science and Engineering. I am willing to cover any Article Processing Charges (APCs) associated with collaborative research work, as I understand the importance of facilitating such partnerships. I would be grateful for the opportunity to discuss potential collaboration ideas further. Please let me know if you would be interested in exploring this possibility or if you have any ongoing projects where my involvement could be beneficial.
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Hello. I am really interested in initiating a research on innovating a new pattern in complex prompts of Generative AI. If it interests you, we can collaborate
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For the research in Nanotechnology, Semiconductor.
The major is Materials Science and Engineering
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Density functional theory is a quantum mechanical method for calculating the electronic structure of atoms, molecules, and materials. The main idea reduces the many-body problem to a system in which any property is expressed as a functional of the electron density instead of the wavefunction. The fundamental concepts are given by the Hohenberg-Kohn theorems and by the Kohn-Sham equations, which transform the interacting system into a model of noninteracting electrons. At the core of DFT lays some exchange-correlation functionals, such as LDA and GGA; these approximate the interaction between electrons. It is also greatly used in material science and nanotechnology for the prediction of molecular geometries, electronic properties, and reactions. In spite of its efficiency, the challenge of DFT is strong electron correlations and functional accuracy.
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Curious about the buzz around Prompt Engineering? 🤖💡
🔍 What is Prompt Engineering? Prompt engineering is the secret sauce that enables us to interact more effectively with AI.
💬 Join the Conversation: What do you think about Prompt Engineering? Is it the future of AI-human collaboration? Drop your thoughts in the comments!
👉 Don’t forget to like, share, and subscribe for more AI and Machine Learning insights!
#PromptEngineering #AI #MachineLearning #ArtificialIntelligence #TechInnovation #YouTube #Learning #AIForEveryone #Education #DigitalTransformation
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As I see it, basically it is a form of manipulation where you ask leading questions to stimulate the AI generate a response that might or might not be reasonable looking idiocy.
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Q1: Would you like to know many innovative keys and many facts about the words that you speak, use, utilize, and develop?
Here is an open invitation to Join:
Unified Word Engineering (UWE))
LinkedIn Group
Unified Word Engineering (UWE) Overview
“A Word is the foundation stone of science and knowledge.”
“A word is a guide for all nations to follow.”
“A Word for freedom is like a fortress and a shield.”
We have more than 300 questions to answer about a Word:
Do you know the true meaning of a Word?
Do you understand what a Word is?
Do you know the ultimate goal of a Word?
Would you happen to know the functional requirements?
Do you know the nonfunctional requirements?
The answer to all the previous questions is: NO.
We have discovered unified and constant innovations based on our discoveries of more than 50 intrinsic and inventive factors called “Innovative keys,” more than 100 new pieces of information per Word, and we have answered more than 300 questions about any word about (a Word).
A word can be documented with more than fifty new innovative keys and a lot of new data in three to more than five thousand pages.
“A word is closely related to art, science, and engineering.”
“A word does not have synonyms and will be treated as unified, fixed, and unique.”
What is the art of a Word?
It raises other questions, including new science called the “Art of Abstraction.”
What is the significance of a Word?
What is the value of a Word?
What are the advantages and ethics of a Word?
What are the aesthetic qualities of a Word?
What is the final and comprehensive definition of any word?
What are the uses of a Word technically?
Etc.
What is the science of a Word?
It raises other questions, including the result of a new branch of science called Fayad’s Dictionary.
What is a word classification?
What is the unifying goal of any word?
Hint One: It is the only goal for all the Word scenarios.
Hint Two: Most Words have one goal, a few words have two goals each, and scarce Words have three goals each.
Hint Three: Each goal represents a system. Therefore, if a Word has three goals, it means three systems.
What are the positive impacts of the unified goal of any word?
What is the commotion for any word?
Do you know what reliable sources are for any word?
What is the Word’s responsibility?
What roles does Wordplay play?
What is the code of honor for a Word?
Etc.
What is the engineering of a word?
What is the map of knowledge of a Word?
What are the basic needs and requirements of a Word?
What is the unified and consistent form of a Word?
Could you tell me what the nonfunctional requirements are in Word?
What are the applications of a Word?
What are word behaviors?
What are the modeling techniques of a word?
Each of these questions raises many questions.
What are the rules, policies, and constraints of a word?
We will discuss all these issues in different articles in our magazine.
.
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Yes, I would be interested in learning about innovative keys and facts related to words, as it enhances understanding of language and communication. Insights into word usage can enrich discussions and creativity.
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Tunneling Engineering Interview Questions.
  • Technical Knowledge-Tunneling Methods and Techniques
Hello everyone, I want to ask about the common questions that are asked in the tunneling engineer interview so that we can know and use the opinions of all engineers and experts on this matter.
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Tunnel construction methods vary based on factors like ground conditions, depth, and cost. The main methods are:
1. Cut-and-Cover: Used for shallow tunnels by excavating and covering the tunnel.
2. Bored Tunnels: Built with tunnel boring machines (TBMs) or by drilling and blasting, ideal for deep or large projects.
3. Immersed Tube: Prefabricated tunnel sections are submerged into a trench, often used for underwater tunnels.
4. New Austrian Tunneling Method (NATM): Relies on surrounding ground support, used in soft soils.
The choice depends on ground conditions, depth, environmental constraints, and project budget.
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Der Ohnemus
Your question has a simple answer: As per my knowledge, the only software out of the +200 MCDM in existence that can do that, is Linear Programming (LP), and in reality, it is a very simple procedure.
Think that whatever your target, you need to work with resources, that is, you need to adequate your demands, as everything in life, with your possibilities to reach the target.
Think, that if your target is to purchase a Mercedes Benz there is no way you can do that if you do not have a resource: Money to pay for it.
If a power house is delivering 400 MWh you can pretend that it delivers 500 MWh.
If you are producing product that produce contamination, above the legal limits, you cannot fabricate them
If you want to minimize costs of whatever good, you cannot pretend to have a cost less that necessary to produce the good
This means that you necessitate making comparisons between what you wish and the means or resources to reach that wish.
There is only one way to make this comparison and it is using linear inequations instead of linear equations, and only LP does this.
In addition, the LP algorithm gives you two values: The mathematical value for each criterion that corresponds to the result using the values in the corresponding criterion and from the initial matrix, and the wishes value. Then you can compare and even, for each criterion, determine in which extent your objective has been reached. For this, you need SIMUS.
Contact me if more information is needed
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Where can we find the formula that fits the problem when we need it?
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Each and every area like signals, probability, communication, RF etc., have a handbook with specific diagrams and definitions. that will be helpful to find the formulas
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I want to know more about good experiences of exploration workers.
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Dear Gholamreza Fotoohi Rad Please do recommend my answer if helpful.
The best characteristic of a very good exploration geologist or mining engineer is analytical thinking combined with practical problem-solving skills. This includes the ability to analyze geological data, interpret complex subsurface conditions, and make informed decisions about where to explore or extract resources. Additionally, a strong understanding of geology, mineralogy, and mining techniques, along with the ability to adapt to different environments and conditions, is crucial.
Other key characteristics include:
  1. Attention to Detail: The ability to notice subtle variations in geological formations that could indicate the presence of valuable minerals.
  2. Curiosity and Passion for Discovery: A drive to explore unknown territories and uncover new resources.
  3. Strong Communication Skills: The ability to convey complex geological data and findings to non-specialists, including project managers and investors.
  4. Technical Proficiency: Expertise in using modern geological software, remote sensing tools, and geophysical instruments.
  5. Environmental Awareness: Understanding the environmental impact of mining activities and the importance of sustainable practices.
  6. Physical Stamina and Adaptability: The capability to work in challenging and often remote locations, adapting to different climates and terrains.
  7. Collaboration and Leadership: The ability to work well in a team, often leading multidisciplinary teams in the field.
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Estimados colegas,
Espero que este mensaje les encuentre bien.
Me gustaría compartir con ustedes un recurso que podría ser de interés para aquellos involucrados en el campo de la ingeniería electromecánica, eléctrica, electrónica, y la tecnicatura en mantenimiento industrial. He creado un canal de YouTube que ofrece una variedad de contenidos educativos, tutoriales y videos relacionados con estas áreas, así como algunos videos de entretenimiento que podrían resultarles interesantes.
En el canal, encontrarán temas como: funcionamiento de transformadores, motores, circuitos eléctricos, magnéticos, electrónicos, optimización, etc., que pueden complementar los estudios y proyectos en los que están trabajando. Mi intención es contribuir al aprendizaje y al intercambio de conocimientos en nuestra comunidad profesional.
Si están interesados, pueden visitar el canal a través del siguiente enlace:
Agradecería mucho cualquier comentario o sugerencia que puedan tener sobre los contenidos.
Gracias por su tiempo y consideración.
Atentamente, Camargo Federico Gabriel PhD Eng. Prof. UTN FRLR
CONICET
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También se hablan temas sobre programación en MATLAB y C++.
Saludos.
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Estoy trabajando con polímeros de ingeniería y una de las preocupaciones es poder medir esta propiedad, sin embargo una de las principales características es que los polímeros no son conductores. Ayuda.
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To measure static energy in engineering polymers like PP, PVC, and ABS, use methods such as electrical resistivity tests and triboelectric charging. These techniques assess charge retention and dissipation, influenced by humidity and material properties.
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2024 4th International Conference on Electronic Information Engineering and Computer Science (EIECS 2024) will be held on September 27-29, 2024 in Yanji, China.
Conference Website: https://ais.cn/u/7n6Vva
---Call for papers---
The topics of interest for submission include, but are not limited to:
◕ Electronic Information Engineering
· Signal processing
· Wireless network
· Information system
· Next generation mobile communication technology
· Internet of things
......
◕ Computer Science
· Computer system
· Artificial intelligence
· Machine learning and deep learning
· Pattern recognition
· Computer vision and graphics
......
---Publication---
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
---Important Dates---
Registration Deadline: August 30, 2024
Final Paper Submission Date: August 30, 2024
Conference Dates: September 27-29, 2024
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
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I am interrested
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We require collaboration of different university or Engineering Colleges to successfully organise conference in the month of November or December 2024.
If any one is interested ping me.
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Thanks for your generosity . Do you have any plan for collaboration ?
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Is anyone familiar with 4th International Conference on Applied Science & Engineering or any of their previous conferences? I've been invited as a speaker, can anyone speak to the authenticity of this invitation?
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Hi all. I just got invited to the 5th International Conference on Applied Science & Engineering. From a quick search, it looks as a scam. They even ask invited plenary speakers to pay almost 700Euros just to attend the "conference"!
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For my master thesis, I am working on Mobile Laser Scanner data which my duty is Extraction of Powerlines Poles. My data is about 10 Kilometers long and has approximately 60 the powerline poles. Fortunately, my algorithm has extracted 58 the poles correctly and two others poles were not completely extracted by Mobile Laser Scanner system which caused proposed algorithm can not extract them. The proposed algorithm is completely automatic and does not need many parameters for extraction.
My main question is that which circumstances do need my implementation to be published in a good ISI journal?
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To get your thesis accepted in a reputable ISI journal, ensure that your implementation is:
1. Original: Offers a novel contribution or solution.
2. Well-Researched: Thoroughly reviews and builds on existing literature.
3. Methodologically Sound: Uses clear, reproducible methods.
4. Significant: Demonstrates clear advantages or improvements over existing work.
5. Well-Written: Communicates ideas clearly and is well-organized.
Meeting these criteria increases your chances of acceptance.
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Dear Research Community
I would like to invite Elctrical Engineering specialists to solve problems related to Ternary Algebra or tripple sets
I have an algorithm that places in relation three component vector and decimal number (pls see the attachment) Can anyone connect that to the components of a sine such as amplitude period frequency etc.?
Pls see the two attached files that follow
Thank you
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In electrical engineering, the term "ternary" typically refers to systems or circuits that utilize three distinct states or levels instead of the more common binary systems, which use only two states (0 and 1). Ternary systems can be advantageous in certain applications due to their increased information density per signal and potential improvements in energy efficiency and processing speed. Below are some key aspects and applications of ternary systems in electrical engineering:
Ternary Logic Systems
Ternary Logic Gates: Just like binary logic gates, ternary logic gates perform logical operations but with three states (commonly 0, 1, and 2 or -1, 0, and 1). Examples of ternary gates include the ternary inverter, ternary AND, ternary OR, and ternary NOT gates.
Logic Levels: In ternary systems, the three logic levels can be represented by different voltage levels or current levels. For instance, a common representation is -1, 0, and +1, which can correspond to different voltage levels.
Advantages of Ternary Systems
Higher Information Density: Each ternary digit (trit) can represent more information than a binary digit (bit). Specifically, one trit is equivalent to approximately 1.58496 bits.
Potential for Reduced Circuit Complexity: In some cases, ternary logic circuits can be simpler and require fewer components than their binary counterparts.
Energy Efficiency: Ternary systems can potentially reduce power consumption by lowering the number of transitions needed to process the same amount of information.
Applications of Ternary Systems
Digital Signal Processing: Ternary logic can be used in digital signal processors (DSPs) to enhance performance and efficiency.
Memory and Storage Devices: Ternary-based memory systems can store more information in the same physical space compared to binary systems.
Communications: Ternary modulation schemes, such as pulse-amplitude modulation (PAM-3), are used in some communication systems to improve bandwidth efficiency.
Challenges and Considerations
Implementation Complexity: Designing and fabricating ternary circuits can be more complex than binary circuits due to the need for precise control of three distinct states.
Noise Margins: Ternary systems require careful management of noise margins to ensure reliable differentiation between the three logic levels.
Compatibility: Integrating ternary systems with existing binary infrastructure can pose compatibility challenges.
Example: Ternary Inverter
A simple example of a ternary logic circuit is the ternary inverter. In a binary system, an inverter flips the input (0 becomes 1, and 1 becomes 0). In a ternary system, the inverter must handle three states. One possible design could map the inputs and outputs as follows:
- Input 0 → Output 2
- Input 1 → Output 1
- Input 2 → Output 0
Ternary systems in electrical engineering represent a fascinating area of research and development, offering potential benefits in terms of information density, energy efficiency, and circuit complexity. However, practical implementation challenges must be addressed to fully realize the advantages of ternary logic in real-world applications. As technology advances, ternary systems may become more prevalent in various fields of electrical engineering, contributing to more efficient and powerful electronic devices.
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In some data sources it has been grouped in Q1 and some shows it is Q2.
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According to SCImago https://www.scimagojr.com/journalsearch.php?q=13886&tip=sid&clean=0 and the latest JCR report (see enclosed file) this is a Q2 journal in Materials Science.
Best regards.
PS. According to SCImago it is a Q1 journal in Condensed Matter Physics.
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Fundamentalmente: Muriéndose. Solo envejece lo vivo, aunque vivas muy sanamente. Lo no vivo no envejece, solo cambia.
Envejecer es inevitable a corto o a largo plazo.
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Yoga and being vegetarian has great impact. Its also proven. Further if a person sticks down to a routine work and maintains proper diet , it can be controlled. Further natural therapy increases youngness.
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Hello everyone,
I am reaching out to express my interest in potential research collaboration opportunities in the field of Computer Science and Engineering. I am willing to cover any Article Processing Charges (APCs) associated with collaborative research work, as I understand the importance of facilitating such partnerships. I would be grateful for the opportunity to discuss potential collaboration ideas further. Please let me know if you would be interested in exploring this possibility or if you have any ongoing projects where my involvement could be beneficial.
Best regards,
Jawad Khan Ph.D | Assistant Professor
School of Computing, Gachon University, Republic of Korea
https://www.linkedin.com/in/ jawad-khan-56808762/
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I am interested in undertaking scientific cooperation in the problems of new technologies, including Industry 4.0/5.0, such as Big Data Analytics, machine learning, deep learning, artificial intelligence, including generative artificial intelligence. Besides, I am also eager for scientific cooperation in the issues of sustainable development, green circular economy, green transformation of the economy.
Best regards
Dariusz Prokopowicz
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Especially in the Engineering discipline (Material science & manufacturing engineering)
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Comprehensive multidisciplinary electronic journal "EIMJ"
Multi-Knowledge Comprehensive Electronic Journal “MECSJ”
University Studies Journal of Comprehensive Research "usrij"
Magazine "POPULAR SCIENCE
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International Conference on Engineering, Science, Technology, and Innovation (IESTI 2024)
Date: 19-09-2024
Location: Online
Submission Deadline: 15-07-2024 **** Extended to 1-8-2024
The Organizing Committee of the International Conference on Engineering, Science, Technology, and Innovation (IESTI 2024) is pleased to invite researchers, practitioners, and professionals to submit papers for presentation and publication at the IESTI conference. This prestigious event aims to bring together leading scholars, researchers, and industry experts to exchange and share their experiences and research results on all aspects of Engineering, Science, Technology, and Innovation.
Topics of Interest
Topics of interest for submission include, but are not limited to:
  • Engineering:
    • Mechanical Engineering
    • Electrical and Electronics Engineering
    • Civil Engineering
    • Chemical Engineering
    • Aerospace Engineering
    • Materials Science and Engineering
    • Computer Science and Engineering
  • Science:
    • Physical Sciences
    • Life Sciences
    • Environmental Sciences
    • Earth Sciences
    • Chemical Sciences
    • Artificial Intelligence
  • Technology:
    • Information Technology
    • Communications Technology
    • Nanotechnology
    • Biotechnology
  • Innovation:
    • Technological Innovation
    • Innovation Management
    • Entrepreneurship
    • Sustainable Development
    • Policy and Innovation
Submission Guidelines
Authors are invited to submit original, unpublished research papers that are not currently under review elsewhere. All submissions will be peer-reviewed and evaluated based on originality, technical and research content, correctness, relevance to the conference, contributions, and readability.
Paper Submission Process:
1. Format: All papers must be formatted according to the conference template available on the conference website.
2. Length: Full papers should be between 6-10 pages, including all figures, tables, and references.
3. Submission Link: Submit your papers through the online submission system available on the conference website.
4. Review Process: Each paper will undergo a blind peer review process.
5. Notification: Authors will be notified of the review results by 15-08-2024.
6. Camera-Ready Submission: Final versions of accepted papers must be submitted by 31-08-2024.
Important Dates
  • Paper Submission Deadline: 15-07-2024 **** Extended to 1-8-2024
  • Notification of Acceptance: 15-08-2024
  • Camera-Ready Paper Submission: 31-08-2024
  • Early Bird Registration Deadline: 20-08-2024
  • Conference Dates: 19-09-2024
Conference Proceedings
All accepted and presented papers will be published in the journals listed on the following website:
Special Sessions and Workshops
  • IESTI 2024 will also feature special sessions and workshops focusing on current trends and emerging topics in Engineering, Science, Technology, and Innovation. Proposals for special sessions and workshops can be submitted to: editor@academicedgepub.co.uk, by 1-8-2024.
Contact Information
For any inquiries regarding paper submissions or the conference, please contact:
We look forward to your participation in IESTI 2024 and to a successful conference!
We would like to extend our invitation to invite you to join the editorial board of the:
- Journal of Probiotics and Bioactive Molecules Research (JPBMR)
Please send an email including your full name, affiliation, CV, and mention the selected journal to the following email address: editor@academicedgepub.co.uk
Sincerely,
IESTI 2024 Organizing Committee
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شكرا جزيلا دكتور🙏🏻
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Is it a free, or is it pay to play?
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Does Wolfram prefer quantum mechanics or relativity? Why?
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Hello, Stephen Wolfram, has a unique perspective when it comes to the age-old debate between quantum mechanics and relativity. Rather than explicitly favoring one theory over the other, Wolfram takes a more holistic approach, seeking to unify these seemingly disparate branches of physics through his groundbreaking work on computational models and the fundamental theory of physics.
At the heart of Wolfram's philosophy lies a deep fascination with the complex behaviors that can emerge from simple computational rules. In his seminal book, "A New Kind of Science" and his subsequent research, he explores how cellular automata and other computational processes might hold the key to unlocking the mysteries of the universe. His ultimate goal is to develop a unified theory that can encompass both quantum mechanics and relativity, transcending the traditional boundaries between these two pillars of modern physics.
The Wolfram Physics Project, a recent endeavor spearheaded by Wolfram himself, embodies this ambitious vision. By proposing that the universe operates as a vast computational system governed by simple rules, Wolfram aims to reconcile the principles of quantum mechanics and general relativity, deriving them from a more fundamental, computational substrate. This approach represents a bold departure from conventional thinking, suggesting that the dichotomy between these theories might be resolved through a deeper understanding of computation in physics.
Wolfram's reluctance to express a clear preference for either quantum mechanics or relativity stems from his commitment to a unified approach. He believes that both theories are likely emergent properties of underlying computational processes, and that a true understanding of the universe will require a framework that integrates them seamlessly. By focusing on cellular automata and the concept of computational irreducibility, Wolfram seeks to develop new ways of thinking about physical laws that go beyond current paradigms.
It's worth noting that Wolfram's ideas have not been without controversy. Some physicists have criticized his claims as being non-quantitative and arbitrary, arguing that his model has yet to reproduce the precise quantitative predictions of conventional physics. However, Wolfram remains undeterred, believing that new ideas in science often take time to gain acceptance, much like Einstein's theory of relativity did in its early days.
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2024 5th International Conference on Computer Vision and Data Mining(ICCVDM 2024) will be held on July 19-21, 2024 in Changchun, China.
Conference Webiste: https://ais.cn/u/ai6bQr
---Call For Papers---
The topics of interest for submission include, but are not limited to:
◕ Computational Science and Algorithms
· Algorithms
· Automated Software Engineering
· Computer Science and Engineering
......
◕ Vision Science and Engineering
· Image/video analysis
· Feature extraction, grouping and division
· Scene analysis
......
◕ Software Process and Data Mining
· Software Engineering Practice
· Web Engineering
· Multimedia and Visual Software Engineering
......
◕ Robotics Science and Engineering
Image/video analysis
Feature extraction, grouping and division
Scene analysis
......
All accepted papers will be published by SPIE - The International Society for Optical Engineering (ISSN: 0277-786X), and submitted to EI Compendex, Scopus for indexing.
Important Dates:
Full Paper Submission Date: June 19, 2024
Registration Deadline: June 30, 2024
Final Paper Submission Date: June 30, 2024
Conference Dates: July 19-21, 2024
For More Details please visit:
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Thanks for sharing. Wishing you every success in your task.
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The editorial board of the Journal of Engineering at the College of Engineering, University of Baghdad is pleased to invite academics and researchers with competence and experience to nominate and participate in the process of evaluating scientific research for research submitted to our journal according to international publishing standards. Those who wish to contribute to the evaluation process can submit an application and fill out the form in the link below.
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Dear Dr.
Thank you for your sharing and discussing. I submitted the form because it is from my mother's college (B.Sc. and M.Sc.) even though I am already a reviewer in 12 journals (Scoupos and Clarivate) as you will see in ORCID and Web of Science links.
Regards,
Ahmed
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I'm currently in a research project on wavelet transform denoising. Due to lack of statistical knowledge, I'm not able to do research on thresholding method, so I'm curious if there are any other research directions(more prefer an engineering project), thank you for your answer.
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The most modern approaches in images' denoising are based on machine learning methodologies.
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Given the number of Engineering students I have seen dropping out their studies, I tried a search over Internet for more wide information and, it looks like it is a very spread issue: several sources are informing on results, that show around a 50% of students leaving their studies, and other showing that among those who graduate only the 25% keep working as Engineer.
What is your perception on this regard in your country?
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Genick Bar-Meir Consider adding 2 cents more as my contribution around this specific aspect of previous preparation of students; I have been feeling (not just feeling, it's a verifiable issue) that several students lack of two crucial components of success in Engineering studies when arriving to University: mathematical preparation and study habits (probably the last one is the most relevant).
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I think the act of reading a favorite book often involves a journey shaped by prior reading experiences. Whether consciously or subconsciously, readers bring their accumulated knowledge, perspectives, and literary preferences to each new book they encounter. This prior reading background serves as a foundation upon which their understanding and appreciation of the favorite book are built. It may involve exposure to similar genres, themes, or writing styles, which contribute to a deeper engagement with the text and enhance the reading experience. Moreover, prior reading experiences help readers develop critical thinking skills, literary analysis abilities, and a broader cultural awareness that enriches their interpretation of the favorite book. In this way, each book becomes a stepping stone in the reader's literary journey, with prior reading laying the groundwork for the discovery and enjoyment of new favorites.
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Are IARF conferences fake or real ?
In there website there is " International Conference on Computational Methods in Applied Sciences and Engineering (ICCMASE)" which will be held in Chicago 3rd of July 2024. I would like to attend this conference but I am not sure if this is real or not. Would you please advise!
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Thank you
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What should be the Capillary Number obtained for water flow inside a silicone microchannel so that we can ignore the Capillary Effect in this study?
My study investigated forced flow with Reynolds numbers between 125 and 1300.
If our criterion for the capillary number is 1, and we consider the capillary effect non-negligible for low values of 1, according to the capillary equation, the capillary effect cannot be neglected in many conditions and cases. For this reason, I think the value of 1 is not a critical value.
Also, the denominator of the capillary number equation is related to the surface tension parameter. Is the value of this parameter equal to 0.0726 N/m, which is the surface tension between water and air, or should we put the surface tension between water and a solid wall (silicon)? In many research studies, authors have used the value of 0.0726 N/m.
Ca=μ*U​/σ
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In discussions regarding the appropriate Capillary Number (Ca) for ignoring capillary effects in microchannel studies, it's essential to consider the context of the interface interactions. Typically, for water flow inside silicone microchannels, many studies, including mine, use the water-air surface tension value of 0.0726 N/m. This is generally because the dominant interface under investigation is between the water and air, not between the water and the silicone walls, unless specific surface modifications of the silicone suggest otherwise.
Furthermore, concerning the critical value of Ca, while the standard threshold is often set at Ca = 1, I believe this may not be universally applicable. In my study, which investigates forced flow with Reynolds numbers between 125 and 1300, it appears that capillary effects could be non-negligible even above this threshold. This observation leads me to suggest that the traditional threshold of Ca = 1 might need adjustment based on specific experimental conditions and flow behaviors. Such an approach allows for a more nuanced understanding of when viscous forces indeed dominate over capillary forces in practical scenarios
Farshid Hesami
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Hi everyone,
I hope you are all well.
I currently work on ATD-GC-MS for running VDA278 standard, but I experience the error message "Extended Trap Des. Equilibrium" on my ATD panel. As the error message occurs, we would not have peaks in my chromatography (just like a blank test). After I checked it, the problem is on the column flow rate could be unstable before trap heating.
Nowadays, I run n-alkanes analysis with Tenax TA sorbent tube (methanol be the solvent, liquid solution directly spiking 1¬2µL on Tenax TA tube). Trap is packed by Tenax TA as well. The most tricky portion is this error always occur around two weeks after PE engineer maintenance. (While engineer here, the machine is running well. However, after running some tubes, the error occurs unpredictably) The system no leak be detected, air-water looks really nice.
So I'm wondering if anyone have the same issues before and willing to share your experience for trap desorption equilibrium extended.
These parameters for which I'm running now:
350ATD
Temperature(C)
Tube: 280
Transfer Line: 280
Valve: 280
Trap Low: -30
Trap High: 280
Trap Rate (C/s): 99
Times (min)
Tube Desorb: 20
Trap Hold: 20
Trap Desorb (Desorb2): 1
Purge: 1
GC Cycle: 85
Pneumatics (mL/m)
Inlet Split: 44
Outlet Split: 19
Tube Desorb: 40
Column: 2
Col/Trap Desorb: 2
GC Column: HP-ULTRA 2 50m, 0.32mm(Diam), 0.52 µm(Film)
GC Temperature: 40C for 2min, 3C/min to 92C, 5C/min to 160C, 10C/min to 280C holding 10min
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Could it be that your cold trap packing material is moving around and sometimes creating channels? Sometimes it is packed firmly and sometimes it is loose.
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Carbonate Reservoir Characterization: Part 07
1.     To what extent, a reservoir engineer will be able to evaluate (a) fluid properties; (b) fractional flow characteristics of rock; (c) formation pressure; and (d) directional permeabilities - in a carbonate reservoir?
Feasible to identify the physical processes responsible for the deviation between ‘a flood simulator history match’ with that of ‘the actual field production history’?
Feasible to deduce the details of fractional fluid production of each zone, in each well? Feasible to identify, whether, the fluid contacts keep moving in the reservoir? Which of the various zones, exactly, produce water, oil and gas? Feasible to ensure, whether, the pay keeps moving because of water or gas encroachment? Where exactly (which zone), the external fluids are getting injected into the reservoir? Feasible to have a control over the rates at which, various zones in a well, need to be produced? Feasible to make a comparison between the production rates of each zone with that of their respective zone’s potential? Feasible to deduce, whether, are there, any portion of the oil field that requires additional well?
2.     To what extent, a production engineer will be able to assess (a) pay zone distribution in the vertical direction; (b) the requirement of stimulation; (c) reservoir compatible fluids; (d) the nature of injection profile; (e) the evolution pattern of volumetric production results; (f) required tuning methodologies for history matching; and (g) finding efficient ways to bridge the gaps between pore-scale, core-scale and pilot-scale studies with that of the real field scenario – in a carbonate reservoir?
To what extent, the presence of unperforated or incomplete productive zones would hinder the oil recovery factors in a carbonate reservoir?
Feasible to delineate the thief zones with ease – that remains to be closed off? Feasible to ensure whether the completion intervals have zonal isolation integrity?
Feasible to deduce precisely, whether, how long, will, each wellbore, would remain to be usable efficiently?
3.     To what extent, drilling engineer will be able to assess
(a) the pressures encountered @ various locations spatially and temporally within the pay zone thickness;
(b) the evolution of fracture gradients;
(c) the nature of rock integrity during drilling; and
(d) the requirement of compatible drilling muds – in a carbonate reservoir?
4.     To what extent, facilities engineer will be able to assess
(a) whether, the production is going to be oil, gas and/or water;
(b) the evolution of production rates; and
(c) the nature of produced fluid properties – in a carbonate reservoir?
Suresh Kumar Govindarajan
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Перевод плохой, но понятно, что ответы на ваши вопросы будут в проектной документации на разработку месторождения, а он, проект, будет составлен только на основе выполненного объёма сейсмических, геофизических и гидрологических исследований. И главное будет всё рано на основе данных, полученных при бурении и испытаниях пластов при бурении разведочной сетки скважин.
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Hi,
I have no expertise in precision fluid mechanics and PZT (piezoelectric ceramics). Based on the foundation of precision manufacturing, I have recently been designing a PZT (piezoelectric ceramic) precision injection valve for high speed and precision injection of solder paste (5 #, viscosity solder paste).
Therefore, it is necessary to know the linear relationship between the 48V voltage of the "inverse piezoelectric effect" generated by the PZT (piezoelectric ceramics) and the tungsten steel firing pin (AF 312 material, diameter 1.5mm) and the nozzle (AF 312 material, internal hole less than 0.1mm), the core components of the precision injection valve.
As a rule of thumb, the deformation elongation of PZT (piezoelectric ceramics) is 32±0.2μm and the voltage is 48V (To my knowledge).
(1)How to further improve the inverse piezoelectric effect of PZT (piezoelectric ceramics) in order to achieve the application of piezoelectric ceramic injection valves and other precision injection devices ?
(2)How to further Improve response frequency and efficiency ?
Please suggest me something. Thanks.
Thank you for sharing and helping,
Best Regards,
Jiabin Xu (Jia-bin Xu)
Harbin Institute of Technology (HIT)
School of Mechatronics Engineering
Timestamp/ Time Line: 2024-03-27, Wednesday, Evenfall
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Do you have any working prototype of the device? What function should an ultrasonic generator perform? What is the configuration of the working chamber and the position of the nozzle in this chamber?
If there is no prototype, then this is a huge research work, with problems unknown in advance. The theory can appear only later, when experimental data appear.
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AI is coming fast, and we have to adapt.
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I am ready. I’m an autistic antiracism educator.
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At first we need to know if you are capable of that or not and if you are capable of that you don't need anyone to recommendation . Anyway good luck..
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Is the journal of nanotechnology research a predatory Journal?
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Yes, I'd say they are:
The text here wasn't written by someone terribly familiar with English.
Or with the rudiments of how to convey information by a flow-chart.
I'd avoid it.
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I begin scientific inquiry by somewhat philosophizing. Science approximately derives from philosophy. Engineering is roughly derived from science.
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Scientific research is a dynamic process that allows us to acquire new knowledge and understand the world around us. Here are the key steps to starting a scientific investigation:
1. Observation: The first step is to observe a phenomenon, event, or problem. This observation may arise from curiosity, detecting a pattern, or identifying a need, leading to formulating a question: why does this happen? How does it work? What is the cause?
2. Problem definition: The problem to be investigated is clearly defined based on the question generated in the observation stage. It must be relevant, interesting, and address a specific area of knowledge.
3. Formulation of the hypothesis: A hypothesis is an assumption or prediction about the relationship between variables. It is a tentative answer to the question posed. The hypothesis must be testable and capable of being evaluated through experimentation or analysis.
4. Experimentation: In this stage, the hypothesis is tested through experiments, observations, or data analysis. Data is collected and compared to the predictions of the hypothesis.
5. Evaluation and analysis: The results obtained are evaluated objectively. The data is analyzed, and conclusions are drawn. If the results are consistent with the hypothesis, it is confirmed. If they are not, it is adjusted or discarded.
6. Communication of results: The findings are communicated to the scientific community and the general public. This can be done through publications.
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Hi
I keep getting the following error message when I run any Abaqus job:
"XML parsing failure for job XXX. Shutting down socket and terminating all further messages. Please check the .log, .dat, .sta, or .msg files for information about the status of the job."
There are no .lck files to be deleted and everyone else using our academic license seems to be unaffected. Occasionally, I can run a model through writing an input file and running through command prompt. Although even this doesnt work everytime, when I check the dat file I get the following error message:
in keyword *CONFLICTS, file "Job-1.inp", line 1: Keyword *Conflicts is generated by Abaqus/CAE to highlight changes made via the Keywords Editor that conflict with changes made subsequently via the native GUI.
***NOTE: DUE TO AN INPUT ERROR THE ANALYSIS PRE-PROCESSOR HAS BEEN UNABLE TO
INTERPRET SOME DATA. SUBSEQUENT ERRORS MAY BE CAUSED BY THIS OMISSION
Any help would be greatly appreciated as my work is getting delayed a bit and I have no idea what to do!
Kind Regards
Alex
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Engr. Tufail I have a similar question,the Abaqus.dat file mentioned “ERROR: SIM database file cannot be opened - System Error CreateFile: code1023 ”
How could I solve the error?
Kind regards
Andy
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How would you start your own accredited university?
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Why would you even want to do that?
For most jobs, it's about your active skill set and agility to learn fast what the job at hand requires.
If you had the choice of two candidates: one, a rich kid who sat out their time at Harvard and got their very expensive, prepackaged, Computer Science degree. Or a much poorer kid who had to work their way up by programming for various start-ups and collected a well-thought-through portfolio of online MOOCs certificates. Like with the https://www.khanacademy.org/ for free and others at a mere fraction of a Harvard education.
Which candidate would you choose?
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for example, computer science
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Gentleman, the most reasonable thing in research is to focus on efficiency ...
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We are interested to do some KD of our favorite lncRNA with the Cas13d describing in the paper: Transcriptome Engineering with RNA-Targeting Type VI-D CRISPR Effectors. Konermann S and al.
As anyone tried it ? Which tool are you used to design the guides ?
Thank you for your help,
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Dear Esteemed Colleague,
Thank you for your inquiry regarding the design of single-guide RNAs (sgRNAs) for Cas13d (CasRx), an RNA-targeting CRISPR-associated system. The development of effective sgRNAs is crucial for harnessing the full potential of Cas13d in RNA manipulation for research and therapeutic applications. Below, I provide a structured and comprehensive guide to designing sgRNAs for Cas13d, focusing on key considerations and methodologies.
1. Understanding Cas13d Specificity and Activity:Cas13d, a member of the Cas13 family, is distinguished by its ability to target and cleave RNA in a sequence-specific manner. Unlike DNA-targeting CRISPR systems, Cas13d offers a unique advantage for RNA editing, interference, and tracking applications. Its specificity is primarily determined by the sgRNA sequence, making the design of these guides a critical step.
2. Selection of Target RNA Sequence:The initial step involves identifying the RNA sequence you wish to target. This could be mRNA, non-coding RNA, or any other RNA molecule of interest. Considerations should include the biological function of the target RNA, its accessibility, and the potential off-target effects. The selected target sequence should be unique to minimize off-target activity.
3. sgRNA Design Principles for Cas13d:
  • Guide Sequence Length: Typically, Cas13d sgRNAs are about 22-28 nucleotides in length. This length can vary slightly depending on the specific Cas13d variant and the target RNA structure.
  • GC Content: Aim for a GC content of approximately 40-60% to ensure stable sgRNA-target RNA duplex formation without compromising dissociation.
  • Secondary Structure: Avoid sgRNA sequences that can form strong secondary structures, as these can hinder the sgRNA's binding to both Cas13d and the target RNA.
  • Accessibility of Target Site: Use computational tools to predict the secondary structure of the target RNA and select regions that are likely to be accessible for Cas13d-sgRNA binding.
4. Computational Tools and Resources:Several online tools and databases are available to assist in sgRNA design, including CRISPR RNA design tools that have been adapted for Cas13d. These tools can help predict off-target effects, evaluate sgRNA efficacy, and check for potential sgRNA secondary structures. Examples include CRISPOR, CRISPRdirect, and specific tools developed for Cas13 systems.
5. Off-Target Minimization:To minimize off-target effects, employ bioinformatics tools to ensure that the chosen sgRNA sequences have minimal sequence similarity to other RNA sequences in the target organism's genome. Design multiple sgRNAs for each target site to test efficacy and specificity.
6. Experimental Validation:After designing sgRNAs, it is essential to empirically validate their efficacy and specificity through in vitro or in vivo experiments. Techniques such as RNA sequencing (RNA-seq) can be used to assess the sgRNA's on-target activity and potential off-target effects comprehensively.
7. Optimization and Iteration:Based on experimental feedback, sgRNA designs may need to be iterated and optimized. This iterative process involves refining sgRNA sequences, testing alternative target sites, and possibly employing different Cas13d orthologues to enhance specificity and efficiency.
In conclusion, the design of sgRNAs for Cas13d (CasRx) involves a careful consideration of target RNA sequence, sgRNA sequence parameters, computational prediction of efficacy and off-target effects, followed by rigorous experimental validation. By adhering to these guidelines, researchers can effectively leverage the Cas13d system for precise RNA targeting applications.
I trust this guide will be instrumental in your endeavors with Cas13d and sgRNA design. Should you require further assistance or clarification, please do not hesitate to contact me.
Best regards.
Take a look at this protocol list; it could assist in understanding and solving the problem.
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Quantum Science and Engineering encompass a broad and interdisciplinary field that explores the principles of quantum mechanics and applies them to various technologies and applications. Quantum mechanics is a fundamental theory in physics that describes the behavior of matter and energy at the smallest scales, such as atoms and subatomic particles. Quantum science and engineering leverage the unique properties of quantum systems to develop new technologies that can outperform classical systems in certain tasks.
Key aspects of Quantum Science and Engineering include:
  1. Quantum Mechanics: The foundational theory that underlies quantum science. It describes the behavior of particles at the quantum level, including principles like superposition, entanglement, and quantum measurement.
  2. Quantum Computing: One of the most prominent and exciting areas within quantum science. Quantum computers leverage the principles of superposition and entanglement to perform certain calculations exponentially faster than classical computers. Quantum algorithms, quantum gates, and quantum processors are some key components in this field.
  3. Quantum Communication: Explores the use of quantum principles for secure communication. Quantum key distribution (QKD) is a method that uses the principles of quantum mechanics to enable secure communication and prevent eavesdropping.
  4. Quantum Sensing and Metrology: Utilizes quantum systems for highly accurate measurements. Quantum sensors can surpass classical limits in precision, leading to advancements in areas such as timekeeping, navigation, and imaging.
  5. Quantum Information Theory: Studies the transmission, processing, and storage of quantum information. It includes concepts like qubits, quantum gates, and quantum error correction.
  6. Quantum Materials: Investigates materials that exhibit unique quantum properties. These materials may be used for the development of quantum devices and technologies.
  7. Quantum Optics: Focuses on the interaction of light and matter at the quantum level. It plays a crucial role in the development of quantum technologies such as quantum communication and quantum computing.
  8. Quantum Engineering: Involves the practical application of quantum science principles to design and build new technologies. This includes the development of quantum hardware, software, and systems.
The field of quantum science and engineering is rapidly evolving, and research in this area has the potential to revolutionize various industries, from information technology and cryptography to healthcare and materials science. Governments, academic institutions, and private companies worldwide are investing heavily in quantum research and development to unlock the full potential of quantum technologies.
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‘Qumodes’ for quantum computing
"Physicists have demonstrated an alternative to qubits for quantum computers: qumodes. Qubits have properties that can only have two states when measured — for example, an electron with a spin that is in one direction or another. Qmodes’ properties can vary along a continuum — in this case, the brightness of a light pulse. To create qumodes, researchers carefully modified laser pulses by removing one photon at a time and creating interference between pairs of pulses. They then demonstrated that the resulting pulses had the properties that would be required, both to perform ‘digital’ quantum computations and to correct errors in those computations. In theory, qumodes could lead to faster and less error-prone quantum computers..."
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Hello friends,
I could not find any template for this journal which stated that it should be doubled column. Any help?
Thanks
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And replace the "STIX1COL" with "STIX2COL" in "APA//wileyNJD-APA.tex" file to get two column style, which would make the first codeline:
'''
\documentclass[APA,STIX2COL]{WileyNJD-v2}
'''
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I need help to understand something. One statement to consider is "I exist". Another is "I exist today". Why is the first statement more appropriate than the second?
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I have an idea related to Reconfigurable Intelligent Surfaces In RIS technology, waves are reflected. Can we do the opposite? I mean that we collect or attract these waves instead of reflecting them. This will benefit us in many things. It depends on Snell’s law of light reflection, but it is possible to do the opposite through a smart lens to collect light waves if we want to preserve information. Important and confidential. For example, we can use this lens and then use systems for converting signals and converting them into electrical ones and encrypting them. This is more similar to the way RIS works in terms of the working principle, meaning this smart surface consists of groups of parts of small cells through which we control the reflection of waves. This smart lens is the same thing if When we do it, we will use a technology like this, and it is not like a receiver that receives waves. It will be like that, but it will be in a different way because it will collect all the waves, not just pick up a signal, for example, or just receive it. Am I thinking correctly ? and should I continue working on this idea?
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You are right that a RIS/metasurface can be used for many purposes. However, I don't think it can attract more EM waves than what would naturally reach it, but it can absorb the waves instead of reflecting them, and it can perform various kinds of analog processing of the waves. Metamaterials are used by companies such as Kumeta and Pivotal Commware to build antenna arrays that transmit and receive waves, rather than reflecting them.
Think of each RIS element as an antenna that converts the EM wave into an electrical signal. The circuitry can then be processed before the wave is either reflected/re-emitted or samples. So any kind of processing that can be done by an analog circuit could also be done by an RIS.
The slides by Petar Popovski from the following event mention some unusual things one can do with an RIS but attracting EM waves (like a magnet) isn't one of them:
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Who agrees humans reproducing human children with robots would be for the common good? Elaborations welcome.
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I agree, if only there will be a man and a woman as parents.
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One only has to learn of projects missing profit targets.
And far too many physically failing.
Turns out that while we taught engineers their technical work,
we neglected to teach them "How to play nice with others."
And educators refer to this knowledge and skill as "Soft."
No!
Engineers find tech somewhat soft, and collaboration, cooperation, and communication hard!
Q2 of 2: What and how as we enter 2024 might we do to bring the education of engineers into their future, today?
HAPPY NEW YEAR!
Cheers,
Bill
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in all my years as a lecturer, I noticed that most of my students study in "compartments", and whatever they learn in that compartment, stays there. coming to the next subject, and these knowledge areas pop up and student needs to be able to apply their knowledge, they forgot it all. they will even tell their lecturer they have never seen it before.
the industrial engineering field is very interactive, and if my students need to create a floor plan, they need to be able to apply work-study concepts, production engineering, costing, possibly simulation CAD and even communication skills...... yet the students do not always "see" how all their subjects link together, and influence your decisions.
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Exploring the role of interdisciplinary collaboration in bridging the gap between scientific concepts and practical engineering applications, seeking insights on optimizing innovation pathways.
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Interdisciplinary collaboration, a potent tool in advancing scientific knowledge and generating innovative solutions, allows for the integration of diverse perspectives and ideas from various fields, including science, engineering, philosophy, and more. This synergy of expertise enables a comprehensive understanding of complex problems, fostering the development of novel approaches to problem-solving and the creation of new interdisciplinary fields of study. One of the primary advantages of interdisciplinary collaboration is the exchange of ideas and the blending of disciplines, which leads to a more profound understanding of the issue at hand. By bringing together individuals with different backgrounds and expertise, teams can tackle problems from multiple angles, resulting in novel and innovative solutions that would not have been possible through single-discipline research. Furthermore, interdisciplinary collaboration can lead to increased efficiency, as teams can work together seamlessly, sharing insights and communicating effectively, thereby expediting the progress towards their goals. This can result in a significant reduction in time and resources, enabling the accomplishment of more in a shorter amount of time. Perhaps most importantly, interdisciplinary collaboration has the potential to generate a greater impact on society. By integrating the expertise of different fields, teams can develop practical and applicable solutions to real-world problems, leading to substantial advancements in areas such as medicine, technology, and sustainability, among others. In conclusion, interdisciplinary collaboration is an indispensable element of scientific progress, as it allows for the integration of diverse perspectives and ideas, leading to increased efficiency, impact, and innovation. By fostering collaboration among individuals from various fields, it is possible to develop novel solutions to complex problems, paving the way for groundbreaking discoveries and advancements in various scientific disciplines.