bluuebunny/crossref_metadata_2025 huggingface dataset:
Perceptions sociales et adaptation au changement climatique dans et autour de la Réserve de Biosphère de Yangambi (RBY) en République démocratique du Congo
Authors: Tanyobe Emmanuel Tamidribe , Liena Papy Bambu , Bomfie Edmond Mokuinema , Lufukaribu Ben Israël Bohola
Published: December 2024

Le présent article a pour objectif de démontrer que les perceptions locales du changement climatique et les stratégies d’adaptation développées par les communautés riveraines de la Réserve de Biosphère de Yangambi (RBY) en République démocratique du Congo sont influencées par l’autochtonie ou le lien ancestral ancré sur le sol et la faible acceptabilité sociale des actions de conservation de la nature. Cette faible acceptabilité sociale concerne, en effet, les projets y exécutés. Pour ce faire, des sources documentaires, des enquêtes par entretiens individuels ainsi que par groupes de discussion (focus group) ont permis de récolter les données. L’analyse des données collectées démontre que la construction de la perception locale du changement climatique est influencée par deux facteurs principaux : d’une part, l’autochtonie qui renvoie au sentiment d'appartenance des communautés locales à leur terre ancestrale dont une superficie de 225 000 hectares est occupée par la RBY et, d’autre part, la faiblesse d’acceptabilité sociale de ladite réserve, y compris de projets menés dans et autour cette RBY.
Materials Used to Protect Metals Against Corrosion in the Electric Car Industry
Authors: Bouiti Khalid , Labjar Najoua , Benmessaoud Mohammed , Abdoun Farah , Chraka Anas , Nasrellah Hamid , Bensemlali Meryem , El Hajjaji Souad
Published: December 2024

In the electric car industry, corrosion poses a significant threat to metal components, leading to material degradation, loss of structural integrity, and reduced performance. Corrosion occurs through chemical, electrochemical, and physical reactions, affecting metals like iron, platinum, and others. Various forms of corrosion—such as uniform, galvanic, and pitting corrosion—can occur depending on environmental conditions. To mitigate corrosion in electric vehicles, protective materials are used, including coatings, anodic and cathodic protection, and environmental controls. These methods help preserve metal strength, extend the lifespan of components, and maintain the overall efficiency and safety of electric vehicles. Understanding corrosion mechanisms is essential for implementing effective prevention strategies in the rapidly growing electric vehicle sector.
Assessing the EU's Quest for a Two-State Solution in the Israel-Palestine Conflict
Authors: Muduli Himanshu Sekhar , Kishor Akshaya , Bag Akash , Bharadwaj Ananya
Published: December 2024

This chapter delves into the European Union's (EU) pursuit of a two-state solution for the Israel-Palestine conflict, a cornerstone of its foreign policy agenda. Through a qualitative case chapter lens, it explores the EU's inability to achieve this goal, interrogating the complexities through the perspectives of realism and liberalism in international relations. Internal EU divisions, US influence, power imbalances, Palestinian factionalism, and legal ambiguities obstruct progress. Yet, amidst these challenges, the EU sustains regional stability through its substantial aid to Palestinians and robust trade ties with Israel, underscoring its multifaceted role in the quest for peace.
In ISIS We Trust
Authors: Ivanov Iskren , Dronzina Tatyana
Published: December 2024

This chapter examines how the process of radicalization impacts the perceptions of individuals who adopted extremist beliefs to use political violence. The chapter seeks to determine if cognitive or religious imperatives occupy a central place in the motivation of individuals who become terrorists. The chapter theorizes these issues in the context of a field study that includes conducting in-person interviews with former foreign fighters from the Islamic State of Iraq and Syria, indicating that their motivation to exercise violence has been a product of premeditated, rational choice that combines political with religious motivation.
The Jaishankar Doctrine and India's Transition From Nonalignment to Multialignment
Authors: Pietrzak Piotr
Published: December 2024

This chapter provides a holistic context to the Jaishankar Doctrine, a strategic blueprint by India's minister of external affairs, Subrahmanyam Jaishankar. It represents one of the greatest awakenings of India's geostrategic potential and capabilities in recent years. This work invites a more contemplative response to the application of this doctrine in real policymaking scenarios and approaches them from the perspective of Western expectations of India. It deliberates on the potential adjustments in the overall direction of this policy toward a more Western-oriented one, as outlined by the Biden administration. Finally, it suggests a geostrategic recalibration of policy that might encourage India to change its attitudes towards Russia. However, wooing India to join the West's camp should start not with a demand to adjust its policy but with a more respectful attempt to understand its strong strategic culture, its main predicaments, and a recognition of how far it has come since 1947.
Implications of the 2003 U.S. War With Iraq for the Role of the United States of America in the International System
Authors: Waśko-Owsiejczuk Ewelina
Published: December 2024

The aim of this chapter is to analyse the consequences of the United States' decision to go to war with Iraq in 2003 in the context of its position in the international system. In order to achieve this, the author draws upon role theory in international relations, while demonstrating why the United States is often referred to as a superpower. Reaching also to the theory of hegemony, the author will show that a superpower such as the US plays the role of a hegemon, i.e., a dominant actor that has the ability to impose its preferences and norms on other international actors. It is important in this regard to show the reaction of the international community, the arguments and narrative pursued by the US authorities, as well as the instruments they used in the context of the 2003 war against Iraq. Finally, the key elements of US foreign policy (focusing on political, economic, military, and social aspects) that have contributed to the relative weakening of the US role as a hegemon on the international stage in the first decade of the 21st century will be presented.
Balancing Power and Diplomacy
Authors: Suman Tulip , Pandey Ashutosh , Mishra Abhijit , Kiran Pragya
Published: December 2024

The chapter emphasizes the importance of international cooperation in the modern era, focusing on the Iran nuclear deal and the evolving relationship between Iran and the USA. It focuses on the Joint Comprehensive Plan of Action (JCPOA), commonly known as the Iran nuclear deal, to explore the complex and evolving relationship between Iran and the USA. It examines Iran's history, the Iran-Iraq war, and Israel's nuclear capabilities to understand power dynamics in the Middle East. The chapter contrasts this with Chile, examining the impact of American soft power and foreign policy during the military regime.
Student Success Plans as a Proactive, Collaborative Gatekeeping Strategy
Authors: Taylor Jessica Z.
Published: December 2024

This chapter will describe a proactive, collaborative student success plan that can be used as a trauma-informed gatekeeping strategy with counseling students. Its purpose is to guide students onto a path to success during their program, to avoid unanticipated interference with success as they progress through the program, and to informally address student issues prior to formal remediation procedures. The student success plan builds upon student strengths and identifies support resources prior to a student issue becoming a problem that could lead to formal remediation or program dismissal.
Seeking the Balance Between Trauma-Informed Supervision and Gatekeeping
Authors: Richardson Kathy D.
Published: December 2024

Remediation and gatekeeping in counselor education can be a scary and stressful process for students and faculty alike. While mandated by the American Counseling Association's 2014 Code of Ethics and the Council for the Accreditation of Counseling and Related Educational Programs (CACREP), there is little guidance related on how to approach gatekeeping, particularly in a growth-oriented manner. Even the term “impairment,” as referenced in sections C.2.g. and F.5.b. of the Code is problematic, as it is used in the Americans with Disabilities Act to designate a person with disability. This chapter, per the author, will propose more appropriate nomenclature and an approach to gatekeeping utilizing trauma-informed practices (TIP). While gatekeeping may continue to be anxiety provoking, the use of trauma-informed principles such as safety, collaboration, and empowerment may help the process be more successful for all involved.
A Feminist Approach to Gatekeeping in Counselor Education
Authors: Drozda Natalie A. , Culver Jennifer D.
Published: December 2024

Gatekeeping is an essential yet challenging prospect for counselor educators to undertake. Furthermore, research seems to suggest a perceived lack of preparedness among counselor educators to engage students in the gatekeeping process. While standards in the counseling profession require programs to have policies and procedures surrounding gatekeeping, putting those policies and procedures into practice can be fraught with uncertainty and laden with subjectivity. In this chapter, the authors not only propose a trauma-informed, feminist framework to help guide gatekeeping practice but also assert that gatekeeping can be conceptualized as developmental mentorship, with principles of andragogy infused throughout. A case study is offered to illustrate putting principles into practice.
Building Bridges, Not Walls
Authors: Samuels Amber Marie , Messinger Erik , Baldwin Taylor
Published: December 2024

This chapter will explore the critical intersection of cultural competence and trauma-informed gatekeeping and is centered on the recognition that a culturally competent lens is essential for navigating gatekeeping decisions ethically and effectively to support CITs from historically marginalized backgrounds. The chapter will integrate theoretical frameworks of cultural competence and trauma-informed practices with practical applications in counselor education gatekeeping processes. This chapter will then include a case study that presents a scenario that reflects potential challenges counselor educators might face during the gatekeeping process with CITs with diverse backgrounds (e.g., marginalized identities). Lastly, the chapter will explore how culturally competent gatekeeping ensures that counselor educators are equipped to assess CITs holistically, considering their cultural background, experiences, and strengths alongside their academic performance.
Gatekeeper Wellness
Authors: Branco Susan , Jones Connie T.
Published: December 2024

Counselor educators and supervisors are ethically responsible for gatekeeping as mandated by the American Counseling Association ethical codes. Yet, gatekeeping practices and training are seldom discussed within doctoral counselor education and supervision training. The silence surrounding gatekeeping negatively impacts counselor educators and supervisors who bear an undue burden of related emotional labor in isolation. While most of the peer-reviewed literature and research examines gatekeeping practices, process, and their impact on counseling students in remediation, less is known about supportive strategies for counselor educators and supervisors. Trauma-informed practices can be applied as one supportive framework possibility for counselor educators and supervisors. The co-authors describe gatekeeping strategies situated within the six tenets of trauma-informed practice.
AI-Powered IoT (AI IoT) for Decision-Making in Smart Agriculture
Authors: Kazi Kutubuddin Sayyad Liyakat
Published: December 2024

Smart farming using AI-driven IoT is revolutionising the agriculture sector, increasing its profitability, sustainability, and efficiency. Farmers may automate processes, make data-driven choices, and encourage sustainable practices by utilising cutting-edge technologies. In order to meet the increasing demand for food, smart farming must embrace AI-driven IoT, as the world's population is predicted to exceed 9.7 billion by 2050. We can confidently state that this technology represents the direction of agriculture and will be crucial in providing food for the world's population in the years to come. The agricultural business could undergo a significant transformation because to AI-powered IoT. Farming is becoming more profitable, sustainable, and efficient as a result of utilising data and sophisticated technology. All farmers, regardless of the size of their enterprises, must have access to and a reasonable price for this technology, though. AI-driven IoT can revolutionise food production and guarantee food security for future generations if it is implemented and integrated properly. IoT powered by AI has the power to completely transform the agriculture sector. Farmers can enhance decision-making, efficiency, and yields while lessening their environmental impact by leveraging the power of data, AI, and IoT. To create a more productive and sustainable agricultural future, it is imperative that organisations, governments, and farmers work together and adopt this technology. The proposed KSK approach is nothing but the decisions making by means of IoT powered by AI. The proposed system is more accurate due to use of AI algorithms.
Classification and Predicting Abundance of Anopheles Mosquitoes in Zimbabwe Using Machine Learning
Authors: Kandiero Agripah , Chiurunge Panashe , Chizwina Sabelo
Published: December 2024

This study seeks to utilize Machine Learning techniques on entomology data available in Zimbabwe. Much of the data is just lying around so it end up being of no use. By applying machine learning models to analyze the data in a time series manner and data mining techniques in Entomological research is a key approach to utilizing large volumes of available mosquito-related data for extracting knowledge. The objectives of the research are to (1) design a model to classify mosquito species from images; (2) use data mining to identify presence/absence of malaria vectors in an area; and (3) find out which months when malaria vectors are in abundance. The study clearly pointed out that ML can be used come up with solution in solving complex problems found in fighting Malaria. I particular coming up with models that can classify mosquito species from images which is the primary objective. Even though the images used were not from Zimbabwe, but the mere fact that it worked well means that it can used by images of species found in Zimbabwe.
Machine Learning Model to Predict Gold Prices for Zimbabwean Economy
Authors: Kandiero Agripah , Chiurunge Panashe , Chizwina Sabelo
Published: December 2024

This Research tackled this insight into Gold prices by producing a predictive Machine Learning Model based on ARIMA, Seasonal Naïve and SARIMA algorithms. These algorithms were extensively evaluated in their performance to predict- Gold prices in Zimbabwe as a key aspect of this Research. Factors impacting on the fluctuation of Gold prices especially in the Zimbabwean economy were also to be identified in the course of the Research to provide suitable variables akin to model performance. Results garnered from the course of the research clearly point out that ARIMA and SARIMA models proved more effective in the analysis of stationery time series data and these models produced a confidence level of above 96% on model fitness indicating high levels of model performance. Limitations were identified in past data availability for effective model training and recommendations were made for future data recordings and collation.
Assessing the Believability of Deepfake Ads in the Indian Market
Authors: Menon Vishnu Achutha , Gupta Anish
Published: December 2024

Deepfake technology, utilizing artificial intelligence and machine learning, has revolutionized digital content creation by producing hyper-realistic media that can deceive viewers into believing fabricated scenarios. In the realm of advertising, deepfakes enable marketers to leverage familiar faces—be they celebrities, influencers, or ordinary individuals—to endorse products convincingly. This chapter explores the impact of deepfake advertisements on young adults in India, a digitally engaged demographic susceptible to such technological influences. Despite their potential to captivate and persuade, these advertisements raise ethical concerns regarding trust and authenticity. This study investigates the relationship between deepfake believability and cognitive responses, confusion levels, and persuasiveness among young adults, highlighting the implications for consumer behavior and regulatory frameworks.
The Dark Side of Deepfakes
Authors: Volkova Svetlana
Published: December 2024

Even though deepfakes have numerous positive and beneficial applications, such as replacing the faces of deceased actors to complete the movies, creating realistic special effects, visualizing historical events with real figures, or creating personalized advertising materials, deepfakes remain and rightfully associated with fraud and abuse. Since deepfakes are often used unethically and illegitimately, there are a vast number of security threats that they can pose, ranging from invasion of privacy to manipulation of public opinion. The chapter provides a comprehensive overview of the potential targets, domains, and areas where malicious actors might illegitimately utilize deepfake technologies to conduct fraudulent activities and other illegal operations. This chapter thoroughly examines the various ways in which deepfake technology can be abused, co-called its “dark side.” Specifically, it delves into the use of deepfakes for committing fraud and financial crimes, corporate espionage, compromising biometric identity, manipulating public opinion, as well as extortion and blackmail.
The Future of Deepfakes
Authors: Rao T. Venkat Narayana , Koppula Maithri , Vardhan Goboori Harsh , Bhavana Sangers , Kumar Bolla Sujith
Published: December 2024

Deepfakes is a new generation of machine learning algorithms, which has demonstrated the possibility of creating audacious synthetic media and raised serious concerns. Firstly, we discuss the evolution of deep fake technology in terms of algorithmic development, the size of the dataset and the way the technology is trained – which has led to a generation of even more convincing fake videos or fake images. It explores the creation of deepfake tools and the emergence of deepfake platform platforms in making synthetic media more accessible and democratic. Deepfakes use including misinformation, identity theft, and privacy infringements and efforts to contain regulation violations given the fluidity of this digital world are also discussed. This study focus on the technology of deepfakes can be applied including both entertainment and advertising and also education and medicine. This chapter offers a general insight into deepfakes, future developments, and trends in deepfake usage, as well as precautionary measures for the future.
The Next Generation of Greentech Trends and Innovations Shaping Sustainable E-Governance
Authors: Mamodiya Udit , Jain Bindiya
Published: December 2024

As the global push for sustainability fast-tracks, governments are increasingly adopting innovative green technologies to reshape public services and governance systems. This paper explores the latest trends and innovations in green technology that are driving the evolution of sustainable e-governance. These technologies have significant potential to reduce environmental footprints, improve resource management, and enhance public sector efficiency. Innovations such as smart grids, renewable energy integration are identified as key for improving urban planning, waste management, and energy distribution. The paper also examines the coupling synchronization between digital business & digital governance, an index system to evaluate their alignment and sustainable development. The study reveals a notable growth in digital business with governance by regional differences. The COVID-19 pandemic has enhanced digital transformation with digital and broadband connectivity.
Cutting-Edge Deep Learning Approaches for Human Pose Estimation and Activity Recognition in Smart Cities
Authors: Bhaggi Ekta , Sahni Varsha , Yadav Om Parkash
Published: December 2024

Human Pose Estimation and Activity Recognition using deep learning are critical components for rising smart cities. These technologies influence convolutional neural networks (CNNs) and recurrent neural networks (RNNs) to accurately perceive and track human postures and actions from video data. By automating the analysis of human behavior, they enhance urban security, improve traffic management, and enable intelligent healthcare monitoring. Various systems into smart city infrastructure can lead to safer, more responsive, and efficient urban spaces. In this paper, focus on implement an architecture which can automatically identify the human activity that is being performed in the video with a high range of accuracy. We have also used Media Pipe and OpenCV to implement a pose estimation model which can multiply use cases in health and sports.
Security of Linear Regression Models
Authors: Veena S. T. , Hariharan S. , Girivasan R.
Published: December 2024

In the context of machine learning, a poisoning attack is a type of attack where an adversary deliberately introduces malicious data into a dataset used to train a machine learning model, with the goal of causing the model to make incorrect predictions. This can have serious consequences, particularly in applications where the model's predictions are used to make important decisions, such as in healthcare, finance, or security. The focus is on developing a new poisoning attack algorithm named gdpa that can produce larger errors with the same proportion of poisoning data points compared to previous attack algorithms. To counteract, a new defense algorithm named ebda is also proposed. The proposed attack and defense algorithms are evaluated on datasets of housing prices, loans, and pharmaceuticals. The results demonstrate that the gdpa attack algorithm can effectively compromise the accuracy of machine learning models, and that the ebda defense algorithm is able to mitigate the effects of the attack. Overall, the paper highlights the importance of ensuring the security of machine learning models in the face of potential attacks, and provides new insights and techniques for improving the robustness of such models
Adaptive Strategies for Success
Authors: Ismail Laith Shlash , Ismail Osama A. Sh
Published: December 2024

This chapter delves into the critical processes necessary for ensuring the long-term success and sustainability of Blue-Green Infrastructure (BGI) projects. As urban areas grapple with the challenges of climate change, biodiversity loss, and public health issues, the integration of BGI presents a multifaceted solution that enhances urban resilience, improves water quality, reduces urban heat islands, and fosters biodiversity. This chapter highlights the importance of continuous monitoring and evaluation to track the performance of BGI systems and identify areas for improvement. It explores various adaptive management strategies that allow for the iterative refinement of BGI practices based on real-time data and changing environmental conditions. Through detailed case studies and best practices from around the world, the chapter provides insights into effective monitoring frameworks, evaluation methodologies, and adaptive management techniques. It offers valuable guidance for stakeholders dedicated to developing sustainable urban environments via the implementation of BGI.
AI-Driven Continuous Integration
Authors: Singh Pranav , Tanwar Nirdesh , Singh Nitin , Sharma Sachin
Published: December 2024

The integration of AI-driven solutions within Continuous Integration and Delivery (CI/CD) pipelines has transformed software development practices, offering enhanced automation, efficiency, and scalability. This paper explores how AI-powered CI/CD pipelines can significantly boost developer productivity, particularly in the context of blue-green infrastructure deployments and sustainable digital transformation initiatives. By automating code testing, deployment, monitoring, and decision-making processes, AI streamlines development cycles, minimizes errors, and ensures faster release times. The fusion of AI and blue-green deployment strategies also aids in maintaining uninterrupted service, reducing risk, and optimizing resource allocation for sustainable IT infrastructure. This study emphasizes how organizations can leverage AI-driven CI/CD to accelerate innovation while aligning with sustainability goals, ensuring a more efficient, reliable, and environmentally-conscious digital transformation journey.
Artificial Intelligence and Visual Media
Authors: Channa Amit , Sharma Ankit , Malhotra Parul , Jain Aayushi , Mehta Radhika
Published: December 2024

This chapter explores the transformative impact of artificial intelligence (AI) on visual media, specifically in the context of eco-friendly content creation through blue-green infrastructure. As the media industry faces increasing scrutiny regarding its environmental footprint, integrating sustainable practices has become imperative. This chapter delves into how AI technologies can enhance visual media production while minimizing resource consumption and waste. By leveraging blue-green infrastructure—an approach that combines ecological principles with urban planning—content creators can develop innovative solutions that not only engage audiences but also promote sustainability. The chapter examines various AI-driven tools and techniques, such as generative design, machine learning algorithms for image enhancement, and data analytics for resource management. Additionally, case studies showcasing successful implementations of AI in sustainable media production highlight the potential for reducing carbon footprints and fostering eco-conscious creativity. Ultimately, this chapter advocates for a paradigm shift in the visual media landscape, encouraging industry stakeholders to embrace AI and blue-green infrastructure as catalysts for a more sustainable future.
Integrating Blue-Green Infrastructure Into Urban Development
Authors: Hullurappa Muniraju , Kommineni Mohanarajesh
Published: December 2024

This Chapter explores the integration of Blue-Green Infrastructure (BGI) into urban development using data-driven approaches enhanced by AI-powered ETL (Extract, Transform, Load) systems. As cities face increasing challenges due to climate change, sustainable urban planning practices such as BGI—which combines natural (green) and water management (blue) elements—are critical for resilience. However, the complexity of urban environments demands sophisticated data processing techniques to assess, design, and implement BGI solutions effectively. By adopting AI models within ETL processes, this paper presents a framework that automates the analysis of incoming environmental data, optimizes the planning process, and provides adaptive decision-making tools. The study highlights how AI-augmented ETL systems can process large volumes of geospatial, environmental, and infrastructure data, offering a more efficient, scalable, and intelligent approach to urban BGI integration. Case studies of smart city initiatives employing this technology are discussed, showcasing the benefits of data-driven BGI solutions in enhancing sustainability, urban resilience, and quality of life.
Machine Learning for Smarter Recruitment and Talent Acquisition
Authors: Karthikeyan C.
Published: December 2024

Machine Learning (ML) has revolutionized talent management within Indian corporates by transforming recruitment, retention, and development processes. This chapter delves into the applications of ML in these areas, showcasing how companies leverage sophisticated algorithms to enhance decision-making, streamline workflows, and foster a more efficient and engaged workforce. Examples from Indian corporates such as Zebra Medical Vision, Tata Consultancy Services (TCS), Infosys, and HCL Technologies illustrate the significant impact of ML on hiring efficiency, employee retention, and development initiatives. The chapter highlights the potential for further advancements in talent management through ML, paving the way for a dynamic and successful business environment.
Maximizing Impact
Authors: Talukder Mohammad Badruddoza
Published: December 2024

Influencer marketing is a crucial strategy in the tourism industry, leveraging social media influencers to enhance destination visibility and appeal. This chapter explores its impact on consumer engagement, trust, and destination branding, providing a theoretical framework for understanding its significance. It offers practical insights for tourism marketers, discussing strategies for selecting influencers, planning campaigns, and measuring success. It also addresses challenges and ethical considerations, such as managing fake followers and ensuring regulatory compliance. Real-world examples of successful influencer campaigns in destination marketing and travel service promotion demonstrate the benefits of influencer marketing in tourism. The chapter also predicts future trends and the increasing importance of influencer marketing in the industry. This comprehensive analysis is essential for understanding and leveraging influencer marketing to achieve tourism marketing objectives.
Author's Reply
Authors: De Gaetano Giovanni
Published: December 2024

I warmly thank Professor Vermylen for his sharp observation on the special article published in Bleeding, Thrombosis and Vascular Biology on October 29, 2024....
Seeds of good governance
Authors: Gobind Jenika
Published: December 2024

No abstract available.
Dengue Fever in Cancer Patients: A Case Series
Authors: Krishnan Surya , Devasia Alma Rose , Krishna Sivadas Swathi , Murali Anjali , Dipu Thareparambil Sathyapalan , Pavithran Keechilat
Published: December 2024

Complications of dengue fever are understudied in oncology. In patients undergoing chemotherapy, the immunosuppressive effects of drugs increase susceptibility to infections, such as dengue, complicating diagnosis and treatment. Here, we report two cases highlighting the challenges and importance of early detection in managing dengue fever alongside chemotherapy-induced immunosuppression. Both patients presented with severe leucopenia and thrombocytopenia, common to both chemotherapy side effects and dengue, complicating clinical management. Early recognition of dengue has allowed for appropriate management, resulting in full recovery.
The Dreaded Cholangiogram: Fluoroscopic Findings for Timely Diagnosis
Authors: Nair Priya , Methala Sharon Paul , Koshy Anoop K.
Published: December 2024

This study presents the fluoroscopic image of hilar cholangiocarcinoma (Klatskin tumor) in a young adult male with accelerated hypertension. The image captures the characteristic biliary obstruction at the hepatic hilum, underscoring the diagnostic value of fluoroscopy in identifying biliary tract malignancies. It aims to highlight the importance of timely imaging for management decisions in such cases.
Integrated flotation therapy for emotional regulation during the viral recovery period: Applying “form and spirit co-nourishing” in Chinese medicine
Authors: Duan Hongmei , Liu Hongxin , Zhong Tao , Shi Kan , Wu Qingbin , Bai Xiaobai , Xu Jihong
Published: December 2024

Objective:

The objective of this study was to evaluate the effectiveness of flotation therapy combined with psychological resilience training in improving emotional regulation and sleep quality in patients recovering from viral infections and to assess the application of the traditional Chinese medicine (TCM) theory of “form and spirit co-nourishing” in modern healthcare interventions.

Methods:

A total of 20 patients recovering from viral infections with anxiety and sleep disturbances were randomly assigned to the experimental group (n = 10) and the control group (n = 10). The experimental group received a combination of resilience training, targeting five key areas: physiological regulation, cognitive restructuring, emotional management, self-efficacy, and social support, alongside flotation therapy, with 45-min weekly sessions. The control group received conventional medical treatment. Anxiety levels were measured using the Hamilton Anxiety Scale, while sleep quality was assessed using the Pittsburgh Sleep Quality Index, both before and after the intervention.

Results:

Compared with intervention before, the resilience level of the experimental group significantly increased after the intervention (P < 0.001), while no notable changes were detected in the control group (P > 0.05); the experimental group demonstrated significantly lower anxiety level and sleep disorder level and higher resilience level compared to the control group after the intervention (all P < 0.001).

Conclusion:

The combined use of flotation therapy and resilience training, grounded in the TCM principle of “form and spirit co-nourishing,” significantly improves emotional regulation and sleep quality in patients recovering from viral infections. This integrative approach supports both physical and psychological healing, aligning with the TCM holistic treatment model, and offers a promising avenue for modern mental health interventions.
Haematological parameters as predictors of severe dengue: a study from northern districts of West Bengal
Authors: Roy Sudipta K , Ghosh Bappaditya , Chakraborty Ayan , Hazra Santanu , Goswami Bidyut K , Bhattacharjee Soumen
Published: December 2024

Background & objectives:

A hike in dengue cases was recorded in last two years, resulting from both single and multiple-serotypes of dengue virus (DENV) and secondary infections, culminating in significant hospitalizations and deaths in India. This study focuses on evaluating symptomatic and haematological parameters in acute dengue patients of the northern part of West Bengal to predict disease severity early on and also to analyze the correlation between circulating DENV serotypes with severity.

Methods:

Dengue patients (N=540) diagnosed as NS1 positives were categorized into 13.7% severe DHF (N=74) and 86.3% mild DF (N=466) and prediction of risk was done using logistic regression. DENV RNA was isolated from blood, converted to cDNA, and detected/serotyped via RT-qPCR by using DENV specific primers.

Results:

Only 14.48% (N=11) patients showed single serotypic (DENV2 or DENV3) infection of dengue. In contrast, multi-serotypic infections (N=65) with the prevalence of DENV2 and DENV3 co-infections were found among the dengue patients, affecting severe changes in the most critical haematological parameters such as hematocrit and platelet count. The multivariate binary logistic regression model revealed that only six parameters viz., age (p=0.032), presence of joint pain (p=0.015), Haemoglobin level (p<0.001), total RBC count (p=0.024), total WBC count (p=0.003), lymphocyte% (p=0.019) were found to be significantly associated with the risk of DHF.

Interpretation & conclusion:

Most prevalent DENV2 and DENV3 infections significantly impact hematocrit and platelet counts in the study region. Our prediction model, incorporating age, joint pain, hemoglobin, RBC, WBC, and lymphocyte, may effectively predict dengue severity.
Ethical Geriatric Pharmacy: Combating Ageism and Enhancing Patient Care
Authors: Yuzwa Madeline M.
Published: December 2024

While there is existing literature on medical ethics and geriatric care, this paper offers a unique perspective by examining the specific ethical challenges and obligations faced by pharmacists caring for older people. It provides a comprehensive ethical framework tailored to this specialized
area of pharmacy practice. The findings and recommendations presented in this paper have significant implications for enhancing patient-centered, ethically grounded care for older people in pharmacy settings. It offers practical guidance for navigating complex ethical dilemmas and upholding
the highest standards of care for this vulnerable population.
Domestically Produced Bioethanol Contributing to India’s Pursuit of Energy Self-Reliance and De-Carbonization of the Road Transport Sector
Authors: Singh Rajnesh
Published: December 2024

This research paper explores India’s energy landscape, critically analyzing the challenges and potential solutions for sustainable development. With aspirations to become the third largest economy in the world, India faces heightened energy demands fueled by economic growth, population expansion, and urbanisation. The country grapples with a heavy reliance on imported crude oil and a substantial carbon footprint from existing primary energy sources, emphasizing the need for strategic interventions. The research paper advocates a multi-fuel strategy, particularly emphasising the promising role of bioethanol. Key stakeholders in India’s bioethanol ecosystem include farmers, Sugar mills/Grain-based distilleries, Oil Marketing Companies (OMCs), Original Equipment Manufacturers (OEMs) of vehicles, consumers, and the government. The National Policy on Biofuels (NPB) aims to boost bioethanol usage, aligning with national energy security, climate change mitigation, and employment generation objectives. The research underscores the positive energy value of bioethanol produced from sugarcane in India, proposing improvements in farming practices and its solarification. A core team of six Ministries/Departments of the government of India has been implementing the Roadmap for Ethanol Blending in India 2020-25. This paper analyses the progress and success of this roadmap in terms of the sustainability of the domestic supply chain, augmentation of bioethanol production capacity, contribution to achieving Nationally Determined Contributions (NDCs), advancements in vehicle technology to boost bioethanol consumption, and fostering rural economic growth and employment generation. Acknowledging the political sensitivity surrounding sugarcane crops, the report calls for initiatives to diversify feedstocks and enhance the competitiveness of domestically produced ethanol. Bioethanol’s alignment with Sustainable Development Goals, notably SDG-7, underscores its potential to contribute to social, economic, and environmental sustainability in India’s road transport sector.
Overview of Electric Vehicle Adoption in Bhutan
Authors: Wangchuk Singye , Dema Dorji
Published: December 2024

Nestled in the Himalayas, the Kingdom of Bhutan demonstrates a strong commitment to sustainability and environmental conservation, guided by its constitution and the philosophy of Gross National Happiness (GNH). This commitment is underpinned by policies in conservation, waste management, and energy practices. Despite efforts to promote clean energy, Bhutan relies heavily on non-renewable sources—coal, biomass, and petroleum—accounting for 62.4% of its energy mix, while hydropower, wind, and solar contribute 37.6%. The government has introduced initiatives like the “Low Emission Development Strategy” and the “EV Roadmap 2035” to encourage electric vehicle (EV) adoption. However, the transport sector consumes over 108,768.10 KTOE (14.4% of total energy use), with vehicle sales rising at a CAGR of 6.7% from 75,190 in 2014 to 126,650 in 2023. Yet, only 0.36% of these vehicles are electric, while others contributing to 60.01% of the country's carbon dioxide emissions. By referencing relevant reports and quantitative studies such as surveys, this paper investigates the perspectives on electric vehicles (EVs) in Bhutan, examining factors such as price, performance, charging infrastructure, environmental concerns, and government incentives. Key barriers to EV adoption include high upfront costs, range anxiety, and insufficient charging facilities, despite the recognition of government subsidies. The findings can serve as a guide for policymakers, emphasizing the necessity of government interventions to meet the “2035 EV Roadmap” goal of achieving 70% of vehicle sales as EVs by 2035.
Synthesis and Characterization of Advanced Multi Nanoparticle Based Nanofluid Stabilized by Surfactants
Authors: Nahalde Sujay , Honrao Gaurav , More Hemant
Published: December 2024

Recently, there has been a growing emphasis on Thermal Management Systems (TMS) for Lithium-ion battery packs due to safety concerns related to fire risks when temperatures exceed operating limits. Elevated temperatures accelerate electrochemical reactions, leading to cell degradation and reduced electronic system performance. These conditions can cause localized hotspots and hinder heat dissipation, increasing the risk of thermal runaway due to high temperatures, flammable gases, and heat-producing reactions. To tackle these issues, many automotive manufacturers employ indirect liquid cooling techniques to maintain battery pack and electronic system temperatures within safe limits. Engineered nanofluids, particularly those containing multi-nanoparticles dispersed in water and ethylene glycol, are being explored to enhance electrical safety in case of accidental exposure to electrical systems in EVs. This paper focuses on the experimental characterization of nanofluid containing Titanium Dioxide (TiO2), Copper Oxide (CuO), Aluminum Oxide (Al2O3), and Graphene Oxide (GO) nanoparticles stabilized with Triton X-100 and Sodium Dodecyl Sulphate (SDS) surfactants. The study examines the formulation and characterization of these nanofluids for equilibrium boiling point, kinematic viscosity, density, and electrical conductivity. The findings underscore the importance of advanced technologies in ensuring the reliability, efficiency & safety of Lithium-ion batteries. By improving electrical characteristics, these advanced nanofluids can mitigate risks associated with overheating, thereby enhancing overall safety and performance.
Influences of Porosity Shapes and Sizes on Stress and Strain Fields in the Casted Aluminum Using Finite Element Modelling
Authors: T Kalinga , Sahu Abhishek , Chirravuri Bhaskara , Miller Ronald , Xu Siguang
Published: December 2024

Casted Aluminum alloys are prone to manufacturing defects such as porosity, voids, and inclusions. Modern casting systems, with their advanced technologies, have made strides in foreseeing and mitigating these flaws. Yet, apart from inclusions and porosity remain stubbornly persistent, never fully eradicated. The challenge of predicting the exact sizes and shapes of these flaws adds another layer of complexity. Consequently, the precise predictions of stress-strain fields, while accounting for casting defects are critical to ensure the durability and integrity of casted components. A computational finite-element based simulation performed to resemble the experimental tensile test. A quarter symmetric numerical specimens are investigated with distinct sizes and shapes of pores/voids. The tensile strength along with the elasto-plastic stress-strain state in the vicinity of randomly distributed voids/pores are determined and compared with defects-free model. The local stress and strain concentrations at different locations of pores are determined and presented based on void/pore’s shape and size. The cumulative influence of porosity shapes and sizes on the durability of aluminum casted components are thoroughly examined, and the significance of this analysis is demonstrated.
Analyzing the Effect of Silicon Carbide and Flyash Reinforcement on the Phase Morphology and Mechanical Properties of 7075 Aluminum Alloy Produced through Stir-Casting Process
Authors: Manwatkar Asmita Ashok , Santosh Jambhale Medha , Mahagaonkar Nitin , Sharma Dipesh
Published: December 2024

Growing demand for fuel-efficient vehicles and lower CO2 emissions has led to the development of lightweight materials. Aluminum composites are being used to achieve lightweighting to improve performance, efficiency, and sustainability across various industries. The unique properties of aluminum composites make them an attractive choice for researchers and designers looking to optimize their products. Reinforcement materials play a vital role in the development of these composites, acting as barriers to dislocation movement within the aluminum matrix. This effectively strengthens the material and prevents deformation under load, resulting in increased tensile strength and fatigue resistance. Additionally, aluminum composites exhibit improved thermal and electrical conductivity, making them suitable for automotive applications. In this study, metal matrix composites (MMCs) of aluminum 7075 alloys were developed using silicon carbide (SiC) and flyash as reinforcements. Three different compositions were cast using the stir casting technique: 10% fly ash, 10% SiC, and 5% SiC plus 5% fly ash. A detailed characterization of these composites was conducted using Scanning electron microscopy coupled with Energy-Dispersive X-ray spectroscopy, focusing on the metallurgical characteristics of the materials. This analysis revealed the distribution of eutectic phases, primary aluminum matrix, intermetallic compounds, chemical zonation, and precipitates at grain boundaries, resulting in improved strength, hardness, and wear resistance. The results showed that the flyash composition exhibited increased wear resistance due to the formation of complex phases, while the SiC composition showed improvements in tensile strength and hardness.
Validation of under Hood Thermal CFD Simulation for After-Treatment System with Off-Highway Application Test Data
Authors: Sharma Sachin , Joshi Kailash
Published: December 2024

Over the past few years, drastic steps have been taken to regularize emission norms for various segments in India. One of the major reforms done was separating construction equipment and agricultural vehicles to differentiate and define regulations effectively. Transition Emission Measure TREM IV emission norms have been implemented in India, and TREM V will also be launched soon. These changes to emission norms have increased the need for the implementation of after-treatment systems (ATS) in off-highway vehicle applications. Earlier, these systems were widely used for on highway vehicles. These emission norms target hydrocarbons, particulate matter, nitrogen oxide and carbon monoxide. Due to which, the demand for diesel oxidation catalysts (DOC) and diesel particulate filters (DPF) has increased in construction equipment and agricultural vehicles.

Although ATS has been in use for a long time, there are certain challenges associated with its integration into vehicles. As the space available on the vehicle is limited and there are high-temperature neighboring components, this can impact performance and increase safety-related risks for the end user. This study focuses on the integration challenges of ATS in tractor applications. Due to the limited available space, ATS must be integrated under the bonnet of vehicles for some applications. During static regeneration, the high temperature from the ATS heats up the bonnet and can pose a safety risk to the end user operating the vehicle. Some of the best practices to control heat rise from ATS have been discussed in this paper.

To understand the heat transfer in the actual application around ATS, a comprehensive repeatable test was done on the actual vehicle to collect critical information during various operating cycles of the vehicle. Air velocity was also measured during vehicle operation to understand the impact of forced convection on ATS. Validation of the actual test with steady state CFD simulation helped understand heat transfer on ATS. Validated CFD thermal model helps in comparing various design changes and identify thermal risks during high temperature conditions. A close correlation between the test and CFD simulation also helped in understanding the risk of high temperatures on the bonnet of vehicles. The modeling approach, test setup details, and critical factors affecting the performance of ATS have been discussed in detail in this study.