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Clinical presentations that may be followed by evaluative studies that eventually lead to a diagnosis.
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Description: I am conducting research on the integration of AI in occupational safety and health programs, particularly in high-risk industries like construction and manufacturing. I am interested in understanding:
  1. The key AI tools or technologies currently used in workplace safety.
  2. The challenges and limitations organizations face while adopting AI for risk management.
  3. Case studies or examples of successful AI applications in accident prevention.
Any insights, published research, or practical examples would be greatly appreciated to advance my understanding and contribute to my research.
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The use of smart cameras equipped with object recognition algorithms to identify safety rule violations, such as the absence of personal protective equipment. Artificial intelligence enables effective video image recognition in other fields, and therefore it can be adapted and implemented in this case as well. Or, existing video cameras can be used and connected to a central unit integrated with an AI application.
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Hello everyone,
I am researching AI-enabled systems' impact on user interaction and experience. Specifically, I want to understand how different AI technologies (such as computer vision, natural language processing, and machine learning) enhance user engagement and satisfaction in various applications.
Here are a few questions to kick off the discussion:
What are the key factors that influence user interaction with AI-enabled systems?
I’m looking to identify the various elements that affect how users interact with AI systems, such as user interface design, accuracy, reliability, ease of use, and personalization.
How do these systems improve user experience compared to traditional systems?
I am interested in comparing AI-enabled systems with traditional, non-AI systems regarding user experience. How do AI systems provide more intuitive and responsive interactions, offer personalized recommendations, and automate routine tasks?
Are there any notable case studies or research papers that highlight successful implementations of AI in enhancing user interaction?
I would appreciate references to existing research or case studies demonstrating successful AI implementations in improving user interaction. Examples from healthcare, education, or customer service would be precious.
Any insights, references, or personal experiences would be greatly appreciated!
Thank you!
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Exploring the Impact of AI-Enabled Systems on User Interaction and Experience
Hello everyone,
I’m excited to delve deeper into this discussion on how AI-enabled systems influence user interaction and experience. AI technologies, including computer vision, natural language processing, and machine learning, have revolutionized how we engage with systems, but there’s a lot to explore regarding their full potential and challenges. Below, I share some initial thoughts and insights.
1. Key Factors Influencing User Interaction with AI Systems
The success of AI-enabled systems largely depends on several critical factors:
User Interface Design: Simplicity and intuitiveness are key to enhancing usability. A user-friendly interface reduces friction and fosters engagement.
Accuracy and Consistency: Users trust systems that reliably deliver correct outputs. Missteps or inaccuracies can lead to frustration and reduced adoption.
Personalization: AI excels in tailoring experiences to individual preferences, making interactions feel more relevant and engaging.
Transparency and Trust: Providing clear explanations for AI decisions or recommendations helps build user trust and encourages adoption.
Accessibility and Inclusivity: Systems designed with diverse user needs in mind (e.g., multi-language support, assistive features) broaden usability.
Privacy and Security: Protecting user data is non-negotiable. Ensuring robust security builds confidence in AI technologies.
2. How AI Systems Improve User Experience Compared to Traditional Systems
AI-enabled systems offer several advantages over traditional systems:
Enhanced Responsiveness: AI-powered solutions, like virtual assistants and chatbots, provide real-time, always-available support, unlike traditional systems that rely on human intervention.
Adaptive Learning: AI systems evolve with user behavior, offering better recommendations or improved performance over time.
Automation of Repetitive Tasks: By automating mundane tasks, AI allows users to focus on more meaningful activities, boosting productivity and satisfaction.
Predictive Features: AI’s ability to anticipate user needs (e.g., predictive text, personalized ads) enhances convenience and engagement.
Natural Language Understanding: AI makes interactions seamless by understanding and processing human language, as seen in voice-activated systems like Alexa or Google Assistant.
Immersive Experiences: Combined with technologies like AR/VR, AI enables innovative applications, such as virtual shopping assistants or interactive learning tools.
3. Case Studies and Research Highlights
Here are some examples showcasing successful AI implementations:
Healthcare: AI tools like IBM Watson are revolutionizing diagnosis and treatment planning by analyzing vast datasets to deliver personalized recommendations.
Education: Platforms like Duolingo use machine learning to adapt lesson content, improving engagement and learning outcomes.
Retail: Amazon Go stores leverage AI-powered computer vision to eliminate checkout lines, creating a frictionless shopping experience.
Customer Service: AI chatbots, such as those used by Sephora, offer tailored product recommendations and real-time assistance, enhancing customer satisfaction.
If anyone has additional examples, particularly from healthcare, education, or customer service, I’d love to hear about them!
Questions for Discussion
1. Are there specific challenges users face when interacting with AI-enabled systems, such as biases or over-reliance on automation?
2. How can we ensure AI technologies remain accessible and inclusive across diverse user groups?
3. What industries do you think are poised for the next big leap in AI-driven user experience, and why?
Looking forward to hearing your thoughts, experiences, and any references to further research!
Thank you!
This reply aligns with your questions and invites further interaction while showcasing your own insights and research focus. Let me know if you’d like adjustments!
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Anisotropic Pre-Stack Depth Migration of Seismic Data: A Case Study in Southwest of Iran Ebrahim Zare, Mohammad Ali Riahi, Mahdi Nazari Sarem
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The journal “Journal of Seismic Exploration” https://geophysical-press.com/about-the-journal/ is not assigning DOIs to their papers.
The journal provides open access without charging an APC, because of this (?), they have no real presence in Google Scholar (as far as I can see) and assigns no DOI to their papers.
It is as far as I can judge a small but excellent journal with an indexing in Scopus. The paper you mentioned can be found here https://geophysical-press.com/online/Vol33-2_art3.pdf
I presume you wonder how to cite this paper, looking at for example https://academic.oup.com/jge/article/19/2/157/6562529?login=false#347601285 and scroll to the references you see that the citation of Wang Y, 1999 has two links: one to the Google Scholar link (present because the paper was uploaded here in RG) and one to the WorldCat link. I guess somewhere this year the paper you mention might have such links as well. For now, all you can do (if you want to cite this paper) ‘just’ give the proper details (including volume nr. etc.).
Best regards.
PS. A journal does not have a DOI, the individual journal articles published in a journal, that is a member of for example CrossRef, get a DOI assigned.
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Looking for case studies on any Organo pollutants in geothermal fields
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Yes, research has been conducted on organic pollutants in geothermal fluids. Studies have identified the presence of trace organic pollutants such as benzene and xylenes in geothermal systems. These compounds, which can be both biogenic and abiogenic in origin, pose ecological and health risks even at low concentrations.
However, a review highlighted that benzene, a precursor for many bioaccumulative and toxic aromatic compounds, is a significant contaminant in various geothermal systems.
Moreover, research has focused on dissolved organic compounds in geothermal fluids used for energy production. Understanding the composition of these organic compounds is crucial for assessing their impact on geothermal energy utilization and environmental safety.
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I am currently working on GIS software and exploring opportunities to research in the GIS field. I am particularly interested in how artificial intelligence (AI) and machine learning (ML) can be applied to improve the accuracy of digital mapping processes, especially for real-time mapping, change detection, and spatial analysis. What are the key challenges and potential solutions when integrating AI/ML into GIS-based digital mapping? Are there any case studies or ongoing research in this area that I can reference?
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Deep Maching Learning is a subset of Machine Learning (ML), which in turn is a field within Artificial Intelligence (AI). So, while deep learning is indeed an application of both AI and ML, it's more precise to say it's a specific type of ML that utilizes Artificial Neural Networks (ANN) with multiple layers (hence "Deep") to learn complex patterns from data. Think of it this way: AI is the broad goal of creating intelligent machines, ML is a way to achieve that through learning from data, and Deep Learning is one powerful technique within ML that uses Deep neural networks..
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This research question explores the transformative role of artificial intelligence (AI) in tailoring marketing messages and enhancing customer experiences. The focus is on understanding how AI technologies, such as machine learning algorithms, natural language processing, and data analytics, enable marketers to create highly personalized and relevant marketing communications.
Key Areas of Exploration:
  1. Personalization Techniques: Investigate the various AI-driven techniques used to personalize marketing messages, such as predictive analytics, recommendation systems, and dynamic content generation.
  2. Customer Data Utilization: Examine how AI leverages vast amounts of customer data, including browsing behavior, purchase history, and social media interactions, to gain insights and predict customer preferences.
  3. Impact on Customer Engagement: Assess how personalized marketing messages influence customer engagement, satisfaction, and loyalty. Consider metrics such as click-through rates, conversion rates, and customer feedback.
  4. Case Studies and Examples: Analyze real-world examples and case studies of companies successfully using AI for personalization. Explore the strategies they employ and the outcomes they achieve.
  5. Challenges and Limitations: Identify the challenges and limitations associated with AI-driven personalization, including data privacy concerns, algorithmic biases, and implementation costs.
  6. Future Trends: Explore emerging trends in AI and personalization, such as the use of AI in conversational marketing, real-time personalization, and the integration of AI with other technologies like augmented reality (AR) and virtual reality (VR).
This research aims to provide a comprehensive understanding of how AI transforms marketing practices, enabling businesses to deliver more tailored and effective customer experiences. By examining the benefits, challenges, and future prospects of AI-driven personalization, the study seeks to offer valuable insights for marketers looking to leverage AI in their strategies.
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AI significantly enhances the personalization of marketing messages and customer experiences by leveraging its ability to process and analyze large volumes of data quickly and accurately.
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I'm currently working with Sage on a second tranche of supply chain and logistics case studies. Sage offers business cases on a subscription model basis to university libraries. Business cases are digital content used in classrooms to supplement student learning for various business, supply chain and management degrees. If you have an idea for a case study it would be great to hear from you!
Sage offers business case authors a free, double-blind peer review, developmental edit, digital access to their publication and $400 (or the GDP/EUR equivalent) per business case. This will be paid upon case acceptance, meaning the case must be written, edited, peer-reviewed and published before the payment is processed.
This is a great opportunity to provide budding logisticians with real-life case studies that they can learn from as they enter the field of supply chain and logistics! Drop me a line for more information at gr@appriseconsulting.co.uk
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Can you send my your email and I can send you the full details. Regards, Gwynne
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This question seeks references to existing research or case studies that demonstrate successful implementations of AI in improving user interaction. These examples can provide valuable insights and evidence of best practices, helping to inform your research. You might find studies highlighting AI's innovative applications in various fields, such as healthcare, education, or customer service.
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AlphaFold3 is now open source
"The code underlying the Nobel-prize-winning tool for modelling protein structures is open at last. Scientists can now download the software code for AlphaFold3 and use the artificial intelligence tool for non-commercial applications. The initial publication, six months ago, of AlphaFold3 without its code drew criticisms from scientists, who said the move undermined reproducibility. AlphaFold3 is capable of modelling proteins in concert with other molecules..."
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It is been always hard to teach a technical concept, for example an algorithm, using a case study method. I would like to know your opinions on this. Further, if anyone interested to contribute in case study teaching methodology for Data Structures and Algorithms, we may collaborate !!
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Dear Dr. Jawale!
You raised a very important question. I search for you specific studies you might see to be value-added:
1) Barczak, A.L.C., Mathrani, A., Han, B. et al. Automated assessment system for programming courses: a case study for teaching data structures and algorithms. Education Tech Research Dev 71, 2365–2388 (2023). https://doi.org/10.1007/s11423-023-10277-2, Open access:
2) Kogan, G., Chassidim, H. & Rabaev, I. The efficacy of animation and visualization in teaching data structures: a case study. Education Tech Research Dev 72, 2349–2372 (2024). https://doi.org/10.1007/s11423-024-10382-w, Open access:
3) Wright, C., Meng, Q., Breshock, M. R., Atta, L., Taub, M. A., Jager, L. R., … Hicks, S. C. (2024). Open Case Studies: Statistics and Data Science Education through Real-World Applications. Journal of Statistics and Data Science Education, 32(4), 331–344. https://doi.org/10.1080/26939169.2024.2394541, Open access:
4) Orna Levin, Simulation as a pedagogical model for deep learning in teacher education, Teaching and Teacher Education, Volume 143,
Sincerely, Bulcsu Szekely
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My case study has to link existing fashion brands or designers to ’the systems model’ by Howard Gardner. The general idea is that it needs to relate to the impact of The New Economy on brands/designers, but I can’t seem to find a good starting point - any suggestions or resources that you would recommend.
(I understand this description is brief however this is all the information I have been able to coax out of my professors)
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This Model has three critical elements -individual talent, domain knowledge (cultural and technical knowledge) and field influence (brand identity and market relevance) all three are directly related to aspects of fashion design and its publics support and acceptance.
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Case studies allow for a comprehensive understanding of practical applications, revealing the complexities and successes of implementing strategies in real-world scenarios.
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One of the projects I remember while working in an MNC was reducing traveling by air and taking public transport. This surely decreases the net emission.
The main challenge was the resistance to change from the managers as it was common to travel by air, especially for far destinations. The second challenge is due to the complexity of business and the lack of awareness as it is still a new concept, mostly theoretical lacking data for measurement and strategies.
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Hello everyone,
I am currently engaged in a project that involves simulating core-shell structured ferroelectric nanoparticles using COMSOL Multiphysics. The specific challenge I'm facing is in constructing a theoretical framework based on the Landau-Ginzburg-Devonshire (LGD) approach within COMSOL.
I am seeking guidance or references that could help me in the following areas:
  1. Integrating LGD Theory into COMSOL: Detailed steps or resources that explain how to incorporate the LGD approach into COMSOL for simulating ferroelectric materials, particularly focusing on core-shell structures.
  2. Studying Ferroelectric Domain Polarization in COMSOL: I am looking for insights on how to effectively utilize COMSOL Multiphysics for studying the polarization behavior of ferroelectric domains. This includes:
  • Modeling Techniques: Suggestions on the best practices for modeling ferroelectric domains in COMSOL to accurately represent their polarization characteristics.
  • Analysis of Polarization Dynamics: Guidance on how to analyze and interpret the polarization dynamics within ferroelectric domains, including domain switching and hysteresis effects.
  • Material Properties and Boundary Conditions: Advice on appropriate material properties and boundary conditions to be used for realistically simulating the ferroelectric behavior in COMSOL.
Any shared experiences, resources, or tips on these aspects would be highly valuable. I'm also open to recommendations on literature or case studies that detail similar simulations.
Thank you in advance for your help and looking forward to insightful discussions.
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Hello Ziang Gao,
We need to complete a one-year project thesis where I am tasked with fabricating a ferroelectric device. I am facing difficulties with simulating the Ferroelectric device using the COMSOL Multiphysics. The main challenge I am encountering is incorporating the Time-Dependent Ginzburg-Landau (TDGL) equation into the ferroelectric layer. Since I am not familiar with this software, I would greatly appreciate any insights on where I can learn more or what the workflow is for using it.
Thank you!
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i need the research on the topic above well explained with citation where neccessary in just 3 chapters
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Unfortunately, I do not have such studies.
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I am a novice in my subject case study of administrators point of view in differentiated supervision and I am having difficulty in my methodology, data collection to data analysis
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I suggest you look at Yin's Case Study Research and Applications. His work is especially good for comparative case studies.
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Are you working on groundbreaking research in the medical or healthcare fields and looking for a reputable journal to publish your work? Medical Innovation is a peer-reviewed, open-access journal based in Canada, dedicated to advancing cutting-edge research across clinical practice, public health, biomedical sciences, and more.
We invite original research, review articles, case reports, and other submissions.
Have any questions about the submission process or how Medical Innovation could be the right platform for your research? Feel free to reach out, and let's discuss!
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Most welcome! The journal also warmly welcomes submissions from graduate students and early career researchers.
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A single subject study is the examination of an individual behaviour over a certain time period. While a case study is the investigation a specific case or phenomenon in-depth
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May be one model is enough and it might not needed to have both for the same case study
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The components and equations of different models may be various. Even changing a parameter in a model can contribute to a significant output based on the output sensitivity to that parameter. Thus, there are always multiple sources of uncertainty, including model uncertainty. comparing the results of different hydrologic or crop growth models can be considered a meaningful option for addressing this kind of uncertainty.
It is not mandatory, and we may be able to meet our research demands by utilizing just one model. However, it is not as robust as the results of ensemble modeling.
If we have to use one model, we need to consider the required input data, available datasets, and the research objectives. Considering these factors in combination with the background of the model facilitates the model selection.
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I'm looking for recommendations of Journals to Publish Case Report involving Anesthesia in Liver Transplant Recepient
Journal with Good Acceptance Rate and Early response is requested
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Subject: Invitation to Join Dailyplanet.Club and Recommendations for Publishing Your Case Report
Dear Zuhair Ali Rizvi,
I hope this message finds you well.
I would like to invite you to join us at www.Dailyplanet.Club, a vibrant community of researchers, professionals, and innovators who collaborate on groundbreaking work across various fields, including medicine. Your question about publishing a case report on anesthesia in liver transplant recipients is of particular interest, and I believe you would find valuable connections and support within our network.
Regarding your query, here are a few journals with good acceptance rates and early response times that specialize in medical case reports:
  1. Journal of Anesthesia & Clinical Research – Known for accepting case reports in anesthesia, with a relatively quick review process.
  2. BMJ Case Reports – A reputable journal with a strong focus on case reports across medical disciplines, including liver transplantation.
  3. The American Journal of Case Reports – Offers a rapid review process and focuses on significant case studies in clinical medicine.
I would love to explore more publishing opportunities with you and support your work at Dailyplanet.Club. We would be thrilled to have you as part of our community!
Best regards, MJ CEO, Dailyplanet.Club MJHSA Ltd.
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i am a an architecture student in final year, and for thesis i want to study the how pandals and tents with fabric affect the spatial experience
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Studying the Impact of Fabric Pandals and Tents on Spatial Experience
Understanding the Research Question
Before we delve into the research methods, let's clarify the specific aspects of spatial experience you want to focus on. Some potential areas of exploration include:
  • Perceived Space: How do the materials, colors, and textures of fabric pandals and tents influence our perception of size, scale, and enclosure?
  • Emotional Response: What emotions do these structures evoke? Do they create feelings of intimacy, awe, or isolation?
  • Cultural Significance: How do fabric pandals and tents reflect cultural traditions, beliefs, and practices?
  • Environmental Impact: What is the environmental footprint of these structures, and how can their design be improved for sustainability?
Research Methods
Once you have a clearer understanding of your research question, you can select appropriate methods. Here are some possibilities:
  1. Case Studies: Analyze specific pandals and tents, gathering data on their materials, design features, and the responses of people who have experienced them.
  2. Surveys and Interviews: Conduct surveys or interviews with people who have visited or participated in events held in fabric pandals or tents. Ask about their perceptions of the space, their emotional responses, and any cultural significance they attribute to the structures.
  3. Observations: Observe people's behavior and interactions within fabric pandals and tents. Pay attention to how they move, gather, and interact with the space.
  4. Experiments: Create controlled environments with different fabric materials, colors, and designs to test their impact on spatial experience. For example, you could create a virtual reality simulation or a physical model.
  5. Archival Research: Examine historical records, photographs, and literature to understand the evolution of fabric pandals and tents and their cultural significance over time.
Data Analysis
Once you have collected your data, you can analyze it using qualitative or quantitative methods, or a combination of both. Some potential analysis techniques include:
  • Thematic Analysis: Identify recurring themes and patterns in your data.
  • Statistical Analysis: Use statistical methods to analyze quantitative data, such as survey responses or experimental results.
  • Content Analysis: Analyze the content of text-based data, such as interviews or archival documents.
Ethical Considerations
When conducting research involving human participants, it is important to consider ethical guidelines. Ensure that participants provide informed consent, and protect their privacy and confidentiality. If you are conducting experiments, obtain necessary approvals from relevant ethical review boards.
By carefully considering your research question, selecting appropriate methods, and conducting your research ethically, you can gain valuable insights into the impact of fabric pandals and tents on spatial experience. @
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Case study based
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In mathematical inventory models, historical demand data must be analyzed to understand the pattern of variation in demand by finding the demand rate and standard deviation, then finding the coefficient of variation for demand. Using the coefficient of variation, the type of demand can be determined, whether it is deterministic or probabilistic.
If the coefficient of variation is less than 20%, this means that the demand is deterministic . If the coefficient of variation is greater than 20%, this means that the demand is probabilistic and must be addressed using probability theory, as the probability distribution of the demand data is found.
*The type of lead time must be known in the place of application, whether it is deterministic or probabilistic, because it affects the inventory model. Using historical data, the type of lead time is known to estimate its probability distribution.
*Determining the level of service required by the decision maker in the place of application, usually estimated between (95 - 99%), which represents the probability of meeting customer demand without running out of stock during the replenishment cycle.
*The type of review of inventory levels is determined (continuous review or periodic review)
Continuous review: In this system, inventory levels are monitored continuously, and a supply request is submitted when the inventory reaches the reorder point.
Periodic review: Inventory is reviewed at fixed intervals, and the order volume is adjusted to restore inventory to a target level.
*Calculating inventory costs in your model:
1-Holding cost :It is the cost of keeping one unit for each Inventory cycle and includes the cost of place, insurance cost, examination and inspection cost
2-Setup cost :It is the cost of preparing the order or preparing the machines for each order, as it is calculated for each order and begins with the issuance of the purchase or production order and ends with the arrival of the materials to the stored. It includes costs issuing documents, transporting, unloading materials and arranging them in stores, communications, employee salaries and other administrative costs
3-Shortage cost: It is the represents the cost of loss that the company or institution will incur will incur due to not having inventory when it is needed, as well as the bad impact on the company's reputation.
The main goal of inventory models is to minimize total cost while achieving the required level of service
to meet customer demands.
*Intelligent techniques such as artificial neural network or deep learning can be used to predict demand based on historical demand data and then build a mathematical model for inventory based on the prediction results.
*Artificial intelligence algorithms such as genetic algorithm or swarm algorithms and others can be used to solve the probabilistic inventory model and improve the classical solution of the inventory model.
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I need to re-implement a case study in automotive systems (recommended), on "APP4MC" platform, with a reasonable level of complexity in hardware and software characteristics. If anybody knows an article or example, it is appreciated.
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A notable real case study in Model-Based System Engineering (MBSE) in automotive driving is the Volkswagen Group's development of autonomous driving systems. They utilize MBSE methodologies to design, simulate, and validate complex systems for self-driving vehicles, integrating software, hardware, and requirements management to enhance safety and performance. Another example is Ford's use of MBSE for their ADAS (Advanced Driver Assistance Systems), focusing on improving system integration and lifecycle management.
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my topic is
INTERNATIONAL HUMAN RESOURCE MANAGEMENT IN A CROSS-CULTURAL EDUCATIONAL ORGANIZATION; PRACTICES AND CHALLENGES: A CASE STUDY OF APTS. It's a case study so i would need some help with methodology and tools to conduct this study
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This type of survey requires chossing the right tools to help you gather amd capture all the information effectivley. Especially in terms of diverse responses and cultural differences. The key considerations are landuage support, assessability and combination of qualitative and quantitative survey questions. Platforms that you can make use of are Google forms or Survey Monkey, but with that make sure to use simple language and provide some sort of incentive.
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Case study on a 22 year old male Hirayama case with left distal hand weakness along with providing physiotherapy intervention to see the before and after results. Is it a feasible one ?
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Physiotherapy is the key to long term outcome of such type of patients
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I am in the final year in Master's degree of International trade and I am seeking a recent model reinvented or improved by a recent researcher after 2021 to 2024, which I can use in the implementation in a company as a relevant case study to export its products abroad.
So the company we chose is the leading company in the plantation, transformation and exportation of the Bourbon Vanilla of Madagascar.
So I thought about using the RBV model but I guess it is not as recent and relevant to the case of the company. I also thought about using the INV model but the company appears to not be as one because it was created since 2000, and is vertically integrated.
I am open to all new recently updated model of internationalization strategy field.
Bye
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Sometimes Matthew Ravelojaona the perspective of an onlooker is helpful; the key remains the economic methodology we use to understand our pressing problems in science and life. Best and thanks for your esteem: stephen
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Dear Sir/Madam Greetings!! From Department of Production engineering, NIT Trichy, Tamil Nadu Hope you are doing well! We as editors of the book would like to invite you to contribute a CHAPTER in the proposed edited book entitled "Additive Manufacturing: New Trends and Applications" to be published by CRC Press-Taylor, and Francis. The book will cover the following stab areas of Additive Manufacturing:
  • Introduction to additive manufacturing, artificial intelligence, machine learning
  • Material selection for 3D printing based on industrial applications
  • Role of additive manufacturing in Industry 4.0
  • Role of additive manufacturing in reverse engineering for the healthcare sector
  • Contemporary prospect of ML in 3D printing of medical devices and implants
  • Recent developments and challenges in bio-printing and tissue engineering
  • 3D printing for MEMS devices
  • Importance of additive manufacturing in the energy sector
  • Net zero concept via 3D printing
  • Recent development in mathematical modelling for AM processes
  • In-situ defect detection techniques for AM
  • Implementation of non-destructive testing in AM
  • Additive manufacturing for space applications
  • Post-processing techniques for AM
  • Current trends in 4D and 5D printing
  • Case studies based on latest development and requirement in ML/AI based AM
Book chapter ABSTRACT submission guidelines:
  • The extended abstract must be submitted on or before the Deadline in the following Order-Title, affiliation, abstract, keywords, graphical image of the chapter, content and related few references.
  • The extended abstract can be between 300-500 words.
  • Collaboration with the industry or foreign universities is highly appreciated.
  • Authors are encouraged to include relevant case studies while submitting the full chapter.
  • The contribution must be original, unpublished work and not considered for publication elsewhere. Experimental work and case studies with novel techniques are more likely for acceptance.
  • There is no publishing fee that the authors have to pay for publishing their chapter in the proposed book.
Kindly indicate your willingness to contribute a chapter in the book by sending us to additive2024@gmail.com, latest by 15th October 2024. We look forward to hearing from you. Best regards, Editorial Team, Dr. Mallikarjuna B., Dr. Deepak D. Patil, Dr. Santosh Kumar Mishra Department of Production Engineering National Institute of Technology Tiruchirappalli, Tamil Nadu- 620015
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Nice
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Mechanical Integrity and Life-Cycle Management in Industries: case study of Nigeria Industries
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yes, it is of highly important
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What is the primary research question or hypothesis being investigated through the case study?
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How do you select cases for a single or multiple case study?
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What methods do you use to gather data in a case study, and how do you ensure its reliability?
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What strategies do you use to analyze case study data and draw valid conclusions?
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How do you handle the challenge of generalizing findings from a case study to a larger population?
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What are the ethical considerations when conducting case studies?
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This text provides valuable information for understanding Stenhouse's role in developing methodological reflections on case studies. It was cited in Stenhouse's chapter "Case Study Methods," which is part of the "Educational Research, Methodology, and Measurement: An International Handbook" (pp. 49-53) edited by J. P. Keeves and published in 1988 by Pergamon Press in Oxford.
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interesting
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🚀 Call for Book Chapters: Novel Applications of Functionally Graded Materials 🚀
We are excited to invite researchers and experts to contribute chapters to our upcoming book on the innovative applications of functionally graded materials (FGMs). This book aims to explore the latest advancements, techniques, and applications of FGMs in various fields. We have several chapter slots available and welcome your contributions!
📚 Available Chapter Slots: 1. Functionally graded materials in medical applications (e.g., implants, drug delivery, tissue engineering) 2. Smart materials properties and characterization with mechatronics system approaches 3. Smart functional materials in sensing, actuation, and energy harvesting applications 4. Sustainability and lifecycle assessment of functionally graded materials 5. Smart functionally graded materials in structural applications 6. Case studies in functionally graded structures and applications 7. Future perspectives and emerging trends in biomaterials and smart materials research 8. Fundamentals of microwave heating and its applications in functionally graded materials
🔍 Interested authors can contact the editorial board for further details and submission guidelines. Let's push the boundaries of materials science together! 📅 Important Note: Dates are flexible and can be extended upon request.
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Thank u for inviting for Book chapter. I can invite our collèague juniors to add in book chapter
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In a case report + literature review, I made a table for all the previous case reports published on the topic. Considering its size, I've decided not to include it in the article, but rather in the supplementary material. It contains general information about over 70 studies, but it's considered a case report, so I anticipate having a limit of 10 to 20 references.
My question is, can I cite the studies in the supplementary material or is there another way I can put them in the references while making it clear it's the literature review part that requires all these references?
Your input will be greatly appreciated.
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I highly appreciate the effort you put in your study including more than 70 cases. I also understand the requirement of most journals of low reference number in case report article. I believe that putting such work of previous cases in supplementary files might underrate your work as it still be a case report to the editors. I would recommend one of two options. The first is to find a way with the editors and journal to publish it as a case-based review, you will need to modify somethings but it will be considered a review. The second option is that you may need to publish your case separately and then redraft the review a a systematic review separately.
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case study
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Thank you, i appreciate it!
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Two case reports (Marketkar et al., 2016 and Akkalp et al., 2015) share the same writing format and appear to have the same literature review. One might argue that because the cancer described is extremely rare, a literature search would result in the same set of articles. However, having an identical table without citing the source raises concerns.
If you see other similarities or have thoughts, please share.
References:
Marketkar, S.P., Hossain, T., Lawrence, W.D., and Quddus, M.R., 2016. Primary Signet-ring Cell Carcinoma of the Uterine Corpus: A Case Report and Review of the Literature. American Journal of Medical Case Reports, 4(2), pp.51-54.
Akkalp, A.K., Ozyurek, E.S., Tetikkurt, U.S., Yalcin, S., Koy, Y., and Usta, A.T., 2015. Primary Endometrial Adenocarcinoma with Signet‐Ring Cells: A Rarely Observed Case and Review of the Literature. Case Reports in Obstetrics and Gynecology, 2015(1), p.404692.
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might not be case of plagiarism because similar rare case may be reported by person in different journal not in same journal but Patients characteristic will be different for each case report
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Call for Chapters: Harnessing AI, Blockchain, and Cloud Computing for Enhanced e-Government Services
Editors:
  • Dr. Miltiadis D. Lytras, The American College of Greece, Greece
  • Dr. Afnan Alkhaldi, Arab Open University-Kuwait Branch, Kuwait
  • Dr. Patricia Ordóñez De Pablos, University of Oviedo, Spain
Submission Link: Submit Chapter Proposals
Introduction:The book "Harnessing AI, Blockchain, and Cloud Computing for Enhanced e-Government Services" explores the transformative impact of modern technologies on the public sector. As digital transformation becomes essential, governments globally are adopting advanced technologies to enhance efficiency, transparency, and citizen engagement. This book examines how Artificial Intelligence (AI), Blockchain, and Cloud Computing can streamline processes, enhance security, and deliver personalized public services. It includes theoretical discussions, empirical research, and case studies to provide a comprehensive overview of these technologies' integration in e-Government services.
Objectives:This book aims to be a comprehensive resource highlighting the innovative applications of AI, Blockchain, and Cloud Computing in the public sector. It bridges the gap between theory and practice by showcasing real-world examples of technology integration in e-Government services. The book seeks to inspire policymakers, technologists, and public administrators to adopt these technologies for improved public service delivery. By presenting cutting-edge research, best practices, and policy recommendations, the book contributes to the discourse on digital governance and supports the development of resilient, efficient, and citizen-centric government services.
Indicative Topics:
  1. Introduction to Technology-Driven e-GovernmentEvolution and future prospects of AI, Blockchain, and Cloud Computing in public administration.
  2. Artificial Intelligence in Government ServicesAI-driven decision-making, chatbots, predictive analytics, AI in law enforcement, and healthcare services.
  3. Blockchain for Transparent and Secure GovernanceBlockchain-based voting systems, digital identity management, smart contracts, land registries, and social welfare programs.
  4. Cloud Computing in Public AdministrationCloud infrastructure, data storage, disaster recovery, collaborative platforms, scalability, and flexibility.
  5. Integration of Technologies for Comprehensive e-Government SolutionsInteroperability, case studies, and developing a holistic digital government strategy.
  6. Enhancing Public Services through TechnologyE-Health, E-Education, E-Transportation, E-Social Services, and E-Environmental Management.
  7. Policy Regulation and Ethical ConsiderationsRegulatory frameworks, privacy, ethical implications, governance models, and international standards.
  8. Future Trends and Innovations in e-GovernmentEmerging technologies, COVID-19 impact, and preparing for technological disruptions.
  9. Case Studies and Best PracticesGlobal perspectives, regional innovations, and success stories in AI, Blockchain, and Cloud Computing.
Important Dates:
  • Proposal Submission Deadlines: June 30, 2024, and July 28, 2024
  • Full Chapter Submission: September 8, 2024
  • Review Results: October 13, 2024
  • Revisions Due: October 27, 2024
  • Final Acceptance Notification: November 10, 2024
Submission Guidelines:Submit a 1000-2000 word chapter proposal by July 28, 2024, explaining the proposed chapter's mission and concerns. Full chapters are due by September 8, 2024. All submissions will undergo a double-blind review. Submit proposals through the eEditorial Discovery® online submission manager.
Publisher:This book will be published by IGI Global, an international academic publisher specializing in various innovative topics. The anticipated release is in 2025. For more information, visit IGI Global.
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"Adaptive Learning for Enhancing Reading Comprehension: A Case Study in Indonesian Junior High Schools"
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Scenario based problem solving approaches
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Ivhave a lot of case reports wich is not included in this account?
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If they are published, add them manually on your profile page. You can also add preprints if they are not published in journal yet.
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I'm conducting a multiple case study, and I'm interested in exploring a phenomenon from the perspectives of male and female participants.
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I'm sorry, but gender and mathematics is not something I've investigated.
Best wishes with your research.
Maulfry
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can you provide me with a recent case report about BA treated with Laparoscopic KPE ?
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Good morning, found this from 20 years ago.
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Which artificial intelligences can be useful in finding scientific papers related to a topic to prepare a literature review of the research (methodology, case study location, variables used)? Please guide me with the link of each one? Thank You
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Amir Ghahremanlou Semantic Scholar and Google Scholar are commonly used for conducting literature reviews and gathering relevant research papers. They both offer extensive databases and advanced search functionalities that are suitable for literature review purposes.
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Hello everyone,
I have an issue with defining my methodology for my Master's thesis and am hoping for your help! I want to investigate how visa restrictions shape international events and have selected a specific event for this purpose. Initially, I plan to interview experts to gain insights into the field (5 interviews) and then interview individuals who were unable to attend this particular event due to visa hurdles (5 interviews). I have been contemplating and researching for some time whether this constitutes a case study or not, and if so, which type of case study would it be. I feel that the design does not really meet the requirements of a case study, for example, because the data will be collected solely through interviews and my focus is not specifically on this event itself but rather on using the event as an example of a broader issue. Additionally, I am unsure if this qualifies as a multi-method approach; while I am using two data collection techniques, both are interview-based.
If anyone could provide guidance or suggest literature, that would be greatly appreciated!
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Mareike Schäfer The specific event is a case study, I don't really know what "types" of case studies there are to choose from?
Not really a multi method
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Hi,
Planning to conduct a few case studies among diabetes participants.
Is there any methodology available for the same?
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We have only one randomized placebo-controlled trial dedicated to study of the the hard endpoints: Ivabradine and outcomes in chronic heart failure (SHIFT.) There were some positive effect in comparison with placebo when ivabradine was added on the top of RAAS blockers and b-blockers. Currently there are no comparative study and in my opinion nobody will give a cent for future investigation because the negative or neutral result in coronary artery disease.
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I am doing a Case study on the impacts of tax on Multinational companies
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General tax framework for multinational corporations in PNG includes:
1. Corporate Income Tax
Standard corporate income tax rate in PNG is 30%. For companies involved in petroleum and gas projects, the rate can be higher, reflecting the significant profits these resources can generate.
2. Goods and Services Tax (GST): A GST of 10% is levied on most goods and services in Papua New Guinea.
3. Additional Profits Tax: Companies, especially in the mining and petroleum sectors, may be subject to additional profits taxes, which are designed to capture greater economic rent when profits are high.
4. Withholding Taxes: Dividends, interest, and royalties paid to non-residents are subject to withholding taxes, the rates of which vary depending on the type of income and the recipient's country of residence, particularly if there is a tax treaty in place.
5. Resource-related Charges: Companies in the extractive industries may also face various royalties, levies, and other charges specific to the sector.
6. Customs Duties: Import duties on various goods can also affect multinational companies, especially those that rely heavily on imported materials.
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Hi, I'm a final uni student trying to finish my final project. My research is about finding out students and teacher perception of an app implemented in the classroom. The data I took are from interview, observation and open ended questionnaire. However one of my professors said I shouldn't use open ended questionnaire, I need some other opinions on this. Thank you in advance
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open ended Questionnaire avoided
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The main reason is lack of well designed studies in the area of interest. Is there a standard tool for quality assessment of case reports?
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Yes, you can include them in the systematic review. JBI provides a tool to assess the quality of such studies: "Critical appraisal checklist for case reports" (https://jbi-global-wiki.refined.site/space/MANUAL/355599400/Appendix+7.4+Critical+appraisal+checklist+for+case+reports). However, let's note that Cochrane Handbook emphasized the limitation of case reports (SR of adverse events): "Spontaneous case reports or case series may assist in signalling rare and previously unknown events. However, for most Cochrane Reviews, these data sources should be used for scoping purposes only (particularly as they do not have denominator data to allow estimation of risks or rates). These spontaneous reports may guide drafting of the protocol when there is a need to choose relevant or important adverse effects as outcomes of interest." (https://training.cochrane.org/handbook/current/chapter-19)
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What are considered the critical attributes of a case study for qualitative research?
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Here is my suggestion on how to write up a case report.
Case study protocol for inclusion in the medical literature. (Version 2.0)
Most case studies are interesting, should be read (and enjoyed) and then promptly forgotten since the cases are usually so rare that it is unlikely you will ever see such a case in your professional career. (Paraphrase from Jerry Hoffman, MD.)
However, if the information is to be more useful for practicing clinicians, case presentations would deserve publication if it is framed in the context of good medical decision making and cognitive processing (prevention of cognitive errors). I propose the following format be used in all case presentation cases in Emergency Medicine.
1. Present the case in as much detail as appropriate.
2. Present the differential diagnosis of the chief complaint that was entertained by the EP who saw the case.
3. Present the outcome of the case.
4. The discussion should then focus on the cognitive processes that were present in the case. The discussion should include the following issues:
a. What is the potential for cognitive error as presented by Pat Croskerry, MD in Academic Medicine, August 2003 and others.
b. Was this a case of a diagnostic error that was prevented (correct diagnosis or near miss) or led to a diagnostic error.
c. What is the differential diagnosis of the chief complaint and where should the reasonable and prudent EP anchor prior to adjustment?
d. Based upon the features of the case, why is there a need to adjust the diagnostic possibilities from the initial “anchor” diagnosis?
e. What appropriate cognitive processes were used to discover the underlying disease? Even though that disease is very unusual, what adjustments should be made on the initial anchor from the differential diagnosis?
f. What are the pitfalls to making those adjustments and what is the danger of overdiagnosis?
g. What cognitive biases could be present that might lead to missed opportunities for making the correct diagnosis?
h. If images or laboratory tests are the feature of the case, what are the cognitive processes leading to the ordering of the images or laboratory tests and how were they interpreted by the EP and the appropriate specialist (usually imaging radiologist or consulting specialist).
i. Provide a brief discussion of underlying pathophysiology of the disease as a didactic part of the article.
There is also a worksheet on case reports from CARE called: CARE checklist (2013) of information to include when writing a case report.
I'm very happy to discuss this further.. Best wishes
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Write case study on that
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Include Cases with peptic ulcer evident on endoscopy and stool test
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How can we use the Geographic Information System (GIS) as a methodology in architecture and urban planning research with case studies?
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There are many types of data that are used in urban landscape/ecology research that are only available via already established remote-sensed datasets. If you want to use these data your only option is to use GIS solutions. Alternatively, you might be interested in documenting a certain phenomenon in the urban setting, then using GIS solutions to present your study findings is usually appropriate.
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which journal is best for a pathology/gasteroenterology case report to be published with no publication fee?
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african journal of gastroentrology and hepatology
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I just realised that my case report has been linked to wrong person.how can i remove the tag person?
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Do messages with that person
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Dear Scientists,
Does Archives of Clinical and Medical Case Reports is predatory journal?
[ISSN: 2575-9655]
Impact Factor: 3.1
Indexing: PubMed / PMC
Best regards
Dr. Abdulla Al Mamun Bhuyan
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Greetings colleagues,
I am pleased to announce that CRC Press is seeking book proposals for a new series entitled "Sustainable Industrial Engineering and Management Systems." As series editors, Dr Pushan Kumar Dutta from #amityuniversity and Prof. Chithirai Pon Selvan PhD, PDF, SFHEA(UK) from #curtinuniversity invite experienced editors to develop books, handbooks, and reference works that examine the integration of sustainability principles across all areas of industrial engineering.
We welcome book proposals that address innovative topics such as circular economy implementation, resilient infrastructure planning, green supply chain management, life cycle assessment, renewable energy integration, sustainable project financing, smart cities, engineering ethics and social responsibility, biomimicry, blockchain for supply chains, digital twins for asset management, and social innovation.
Some of the topics you can include
Circular Economy Implementation in Engineering Projects: Explore how circular economy principles can be integrated into engineering management practices to minimize waste, promote recycling, and create a more sustainable lifecycle for products and projects.
Resilient Infrastructure Planning and Management: Discuss strategies for designing and managing infrastructure that can withstand and adapt to environmental challenges such as climate change, natural disasters, and resource scarcity.
Green Supply Chain Management in Engineering: Examine the implementation of sustainable and environmentally friendly practices in the entire supply chain of engineering projects, from raw material extraction to end-of-life disposal.
Life Cycle Assessment for Engineering Systems: Delve into the methods and tools used for conducting life cycle assessments (LCA) to evaluate the environmental impact of engineering systems throughout their entire life cycle.
Renewable Energy Integration in Engineering Projects: Explore the challenges and opportunities in integrating renewable energy sources into various engineering projects, including the design, construction, and operation phases.
Sustainable Project Financing and Investment: Investigate innovative financing and investment models for sustainable engineering projects, considering economic, social, and environmental returns on investment.
Smart Cities and Sustainable Urban Planning: Discuss the role of smart technologies and data-driven decision-making in creating sustainable and resilient cities, focusing on infrastructure, transportation, and resource management.
Ethics and Social Responsibility in Engineering Management: Address the ethical considerations and social responsibilities that come with managing engineering projects, emphasizing the importance of considering the impact on communities and future generations.
Biomimicry in Engineering Design: Explore how biomimicry principles can be applied in engineering design and management to create more sustainable and efficient solutions inspired by nature.
Blockchain Technology for Sustainable Supply Chains: Investigate the use of blockchain technology to enhance transparency, traceability, and accountability in supply chains, ensuring sustainability practices are adhered to.
Digital Twins and Sustainable Asset Management: Examine how digital twin technologies can be leveraged for better asset management, predictive maintenance, and resource optimization in engineering projects.
Social Innovation in Engineering: Highlight case studies and examples where engineering projects have addressed social challenges, fostering inclusivity, and contributing to community development.
This timely series aims to capture the latest research, case studies, and best practices for creating more sustainable, efficient, and socially responsible industrial engineering and management systems. Contributed volumes should be oriented towards a diverse readership of students, academics, and industry practitioners worldwide.
We encourage prospective editors to reach out with book ideas or questions for developing proposals. Note that all proposals will be vetted for quality, originality, and diversity of authorship before approval. We look forward to your submissions and working together to advance scholarship in this emerging field.
Best regards,
Dr Pushan Kumar Dutta
Series Editor
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Good for you! I look forward to reading it.
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Is every qualitative study a case study? After all, it is almost always a matter of researching a small number of people around a specific topic? For example, an evaluation study of a leadership program in which people who took part in it are interviewed, or a study of the reception of queer children's literature among kindergarteners, would it be correct to claim that the type is a case study?
If so, then when is qualitative research not a case study?
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Case report is qualitative study but every qualitative study is not case report
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Is there a case study about a company merger since 2010?
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I can say yes, there are a lot of studies on merger of Banks especially in the context of developing economy like Nigeria.
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What are the potential causes and recommended treatment options for a person with a particularly large bladder stone?
What do you think about the following case??
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Urgent medical attention is crucial.
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I am currently doing my dissertation. My Topic is “An investigation into the integration of SAP for Enhanced Warehouse Management: A case study of Warehouse organization in Glasgow”
I am currently having difficulties getting the audience I need from the company I chose as c
what do you advice I do?
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Ajit Singh Ajit, I apologize for confusing you with Joy Oghenetega Oguntibeju -- Please apply my comments to Joy.
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Hello all, I would like to use the constant comparative method (Strauss & Corbin, 1990) outside of grounded theory, specifically in a multiple case study design. Does anyone have recommended articles and/or advice?
Thank you!
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Using the constant comparative method, as introduced by Strauss and Corbin (1990), outside the context of grounded theory, especially in a multiple case study design, is a creative application that can yield rich insights. While the constant comparative method is often associated with grounded theory, its flexibility allows adaptation to various research designs. Here are some additional thoughts and recommendations:
1. Understanding the Constant Comparative Method:
  • Ensure a solid understanding of the constant comparative method and its key principles. While it is often linked with grounded theory, its iterative and comparative nature can be applied in different research contexts.
2. Adaptation to Case Study Design:
  • Recognize that the constant comparative method can be adapted to fit case study designs. In multiple case studies, you can use it to identify patterns, commonalities, and variations across cases.
3. Literature Review:
  • Conduct a literature review to identify studies or articles where researchers have applied the constant comparative method in non-grounded theory contexts or within case study designs. Look for examples and insights on best practices.
4. Methodological Articles:
  • Explore methodological articles and books that discuss the constant comparative method beyond grounded theory. Researchers may provide guidance on its application in different qualitative research frameworks.
5. Reflexivity and Transparency:
  • Emphasize reflexivity in your research process. Clearly articulate how and why you are using the constant comparative method in your multiple case study design. Transparency in your methodology is crucial for ensuring the rigor of your research.
6. Case Selection:
  • Thoughtfully select your cases. Consider the diversity and relevance of the cases to your research question. The constant comparative method can help you identify patterns both within and across cases.
7. Data Collection Strategies:
  • Plan your data collection strategies to facilitate constant comparison. This may involve collecting data from various sources, such as interviews, documents, or observations, and comparing them iteratively.
8. Coding and Analysis:
  • Apply open coding, axial coding, and selective coding – key components of the constant comparative method – to analyze your data. Iteratively compare data within and across cases to identify themes, patterns, and relationships.
9. Triangulation:
  • Consider using triangulation methods to enhance the validity of your findings. This could involve comparing findings across different data sources or involving multiple researchers in the coding and analysis process.
10. Flexibility in Analysis:
  • Be open to adjusting your analysis approach based on emerging findings. The constant comparative method allows for flexibility and responsiveness to the data.
11. Reporting:
  • Clearly report your methodology in your research documentation. Explain how you adapted the constant comparative method for your case study design, and discuss the implications of your approach.
12. Collaborate and Seek Feedback:
  • Collaborate with peers or seek feedback from experienced qualitative researchers. Their insights can be invaluable in refining your approach and ensuring the robustness of your analysis.
Recommended Articles:
  • Charmaz, K. (2006). Constructing Grounded Theory: A Practical Guide through Qualitative Analysis.
  • Corbin, J., & Strauss, A. (2008). Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory.
  • Glaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research.
These recommendations and considerations should help you navigate the application of the constant comparative method in a multiple case study design. Remember that flexibility and reflexivity are key as you adapt the method to your specific research context.
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hoe can i rectify the title shown in google as ORTHODONTIC CAMOUFLAGE OF SKELETAL CLASS II MALOCCLUSION USING MINI-IMPLANTS- A CASE REPORT from current title as INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH
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Dear Rishika Ek I am afraid that this will not be possible. The problem seems to be that the Google Scholar search engine 'reads' pdf files and takes the journal title as the title of the aper.
Indeed when one search in GS "INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH" then you end up with numerous papers all entitled this way.
Unfortunately the jornal itself is not really indexed in GS and thereby not providing the proper (meta)data.
Best regards.
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My panel suggest me conduct my data collection on-site if I want to do a single case study on their environmental sustainability. I would like to learn about their adaptation and practices.
However, I will do my data collection online.
Is it ok to do so? And what article should I refer or any good paper to back it up?
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I agree with Mohammed Kasim C. that doing fieldwork on-site is often the best approach to a case study, but I also recognize that this is not always possible. So, if your access is limited to online interviewing, then you will need to justify that this kind of data for this case can make a contribution to your field.
As for techniques in online interviewing, most of what I have seen involves adapting focus groups to this format. Apparently there is an assumption that in-person and online individual interviewing are similar enough to not require any major adaptations for going online.
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HRM
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It's a decent starting point,IF your source is representative, and IF you will be following that with other interviews. Otherwise, you lack context to evaluate your source and I would recommend against it. Should you ties your wagon to that star, someone may come along a demonstrate that it is falling.
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I want to submit a case report on 2 cases of spiked helmet ECG sign but need a photo to go with it. I do not have copyright to use previously published image.
Thanking you Richard
Example picture enclosed
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Oki Move ahead
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We are trying to submit a case report in annals of medicine and surgery, but its updated submission criteria included to register and have registration number for any type of articles from the registration website.
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Don't worry , Get registered for particular journal. In General , before submission in any journal ,require login. This journal will be good quality journal
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I need to build a repository of case studies for my BCom faculty. These case studies can vary from 400 to 4 000 words - some of which we produce ourselves and others obtained from textbooks, free resources etc. It would cover marketing, economics, customer experience, strategy etc - all the subjects where you might find a case study in an examination paper. I was thinking of using Google sheets which would then have column headings like: Category/Subject, Title, one paragraph description, which classes have already received it (eg I gave it for the finals for the 2023 BCom cohort), and then the link to the case itself. Is there a better way than sheets to do this? And FREE would also help.
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Following are some alternatives to Google Sheet:
Baserow
Microsoft Excel
Zoho Sheet
Apache OpenOffice Calc
Airtable
Jotform Tables
ClickUp
LibreOffice
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Provide good examples where appropriate. In your understanding, what type of an economic system is the Zimbabwean economy. Justify your assertion. [20]
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Am in line with the brilliant contribution of Vedant Kambli
With respect to the attached lecture on equilibrium, dear Andrew Madzivadondo I am pointing to:
In this sense, we have to ask for the measurement method for market vs. command economy, i.e. in terms of the working body economic, not the textbook or ideological classification.
For example, if the military sector (government) is the greatest employer (e.g. like in the US), how can that polity maintain to be a market economy?
The capitalist system is one of constant excess supply generated by the dominance of private property, market coordination and hard budget constraint (!); the role of democracy for the survival of capitalism, political sustainability of capitalism and the role of money (central banking !) have also be mentioned.
It is my observation that most classical capitalist market economies are in danger to become command economies, due to increasing statism.
________
The market system is the basis of our civilization.
Its only alternative is the Führer principle.
Ludwig von Mises
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Hi all
I'm thinking about a challenge that I have recently faced, which may be common for the majority of researchers. What criteria do you think are important for selecting a case study from among multiple options?
Best Wishes.
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I have never have any experience on index in selecting case study as most of our case studies are selected based on research project goals and on-going collaboration with current selected case study's authorities. Unless if you are starting your research from zero. Then u may need a real complex and proper selection index. But, personally I would say 'Research project's predetermined aim/selection/purpose/goals' may be the highest criteria. Other criteria may include, 'regional variety', 'method application', etc.
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i need a case study on challenges of working capital management in a domestic garments business
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SWOT Analysis:
Strengths:
  1. Efficient Inventory Management: Implementing effective inventory control systems can ensure optimal stock levels, reducing holding costs.
  2. Supplier Relationships: Strong relationships with suppliers can lead to favorable credit terms and discounts, positively impacting working capital.
Weaknesses:
  1. Seasonal Variations: The garment industry often faces seasonal demand fluctuations, leading to challenges in managing working capital during off-peak seasons.
  2. Dependence on Raw Materials: Reliance on specific raw materials may expose the business to supply chain disruptions and price fluctuations.
Opportunities:
  1. Technology Integration: Adopting technology solutions for inventory tracking and order management can enhance efficiency and reduce working capital requirements.
  2. Diversification: Exploring new product lines or expanding market reach can open avenues for increased revenue and better working capital management.
Threats:
  1. Economic Downturn: Economic uncertainties can impact consumer spending, affecting the cash flow and working capital of the garment business.
  2. Credit Risks: Overreliance on credit purchases without proper risk assessment can lead to bad debts, negatively impacting working capital.
Literature Review:
Working Capital Management in the Garment Industry: A Comprehensive Review
  1. Introduction:Overview of the garment industry and its significance in the global market. Importance of effective working capital management for sustained business operations.
  2. Challenges in Working Capital Management:Seasonal Fluctuations: Analyzing how seasonal changes in demand affect working capital requirements and strategies to mitigate these challenges. Raw Material Dependency: Exploring the impact of relying on specific raw materials and strategies to diversify the supply chain.
  3. Efficient Inventory Management:Literature on best practices for inventory management in the garment industry. Case studies highlighting successful implementations of inventory control systems.
  4. Supplier Relationships and Credit Terms:Examining the role of strong supplier relationships in negotiating favorable credit terms. Assessing the impact of supplier collaborations on working capital efficiency.
  5. Technology Integration:Reviewing technological solutions available for inventory tracking, order management, and their impact on working capital. Case studies showcasing successful technology implementations in the garment sector.
  6. Diversification Strategies:Studying how diversification into new product lines or markets can positively influence working capital dynamics. Analyzing real-world examples of garment businesses that successfully diversified to enhance working capital management.
  7. Risk Management:Discussing the importance of assessing and mitigating credit risks in working capital management. Strategies for identifying and managing economic downturn risks in the garment industry.
  8. Conclusion:Summarizing key findings from the literature review. Providing insights into potential areas for future research in the context of working capital management in the domestic garments business.
I hope this gives you a good starting point! If you need more details or want to focus on specific aspects, feel free to let me know.
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It is not pubmed indexed.
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The published papers look in terms of lay-out highly professional, but I see a number of disturbing things:
-International Sci Ink Press Ltd (https://mdpub.net/?sec=aboutpublisher ) is the publisher of not only “International Journal of Medical Reviews and Case Reports” but also of the very similar looking “International Journal of Surgery and Medicine” (https://www.ejos.org/index.php ) and a unsuccessful journal titled “International Journal of Agricultural Biotechnology and Food Sciences” (https://www.agropub.net )
-Contact info (57 Antim I str., Vazrazhdane, Sofia, 1303, Bulgaria) leads to well … not Sofia’s finest neighborhood
-The owner/editor published a suspiciously large number of papers in his own journal(s) see research items here https://www.researchgate.net/profile/Ivan-Inkov
-The journal management system eJM (eJManager) is mentioned in the Beall’s list (https://beallslist.net ), see also https://forbetterscience.com/2023/01/25/the-pullulating-polyps-of-omics/ where eJM was discussed not that positively
-Indexing info https://mdpub.net/index.php?sec=jindex mentions ESJI and ASI examples of so-called misleading metrics (https://beallslist.net/misleading-metrics/ )
-Not sure where some found the info about their impact factor but be clear this journal (https://mdpub.net ) has NO impact factor (simply because they are not indexed in Clarivate’s ESCI/SCIE or SSCI index, which can be checked here https://mjl.clarivate.com/home )
-The same is true for Scopus, they are NOT indexed in Scopus which can be checked here https://www.scopus.com/sources.uri?zone=TopNavBar&origin=searchbasic and not indexed in PubMed (or PMC)
So not sure whether predatory is the right word but the lack of any serious indexing would for me personally mean: avoid this one.
Best regards.