bluuebunny/crossref_metadata_2025 huggingface dataset:
A Review of the Technologies Trending Towards 5G Network for IoT-Based Smart Healthcare
Authors: Manna Monojit , Mondal Lina , Naskar Anwesa , Manna Aditi Sinha
Published: May 2024

The traditional expert and hospital-focused approach to smart healthcare is quickly changing to a dispersed patient-focused one. Several technical advancements have aided this quick transition in healthcare. 4G and other communication standards are currently employed in the medical field for smart health services and apps. The development of intelligent healthcare services in the future depends on these technologies. A vast amount of data in various formats and sizes is anticipated to be produced by several applications due to the expansion of the healthcare sector. A specific consideration of the end-to-end delay, bandwidth, latency, and other properties is required for such vast and heterogeneous data. Future healthcare applications will demand extremely dynamic and time-sensitive systems, which will be challenging for current communication technology to meet. As a result, 5G networks are being created and tailored to address the various communication requirements of internet of things (IoT) applications related to health.
Sensors and Chronic Illness
Authors: Mukherjee Debmalya , Banerjee Ranjan , Paul Kaushik , Gazi Toufique Ahammad
Published: May 2024

The global healthcare landscape faces a significant challenge in managing chronic illnesses. Traditional approaches, relying on limited data from infrequent doctor visits, often fall short of delivering optimal care. However, sensor technology has emerged as a game-changer, offering continuous health monitoring and paving the way for personalized treatment plans. This paper delves into the potential of sensor-based monitoring, exploring its applications for various chronic conditions, and addressing the associated challenges and ethical considerations. By shifting from a reactive to a proactive approach, sensor technology promises to revolutionize chronic disease management and improve patient outcomes.
Applications of Sensor Technology in Healthcare
Authors: Das Sima
Published: May 2024

Sensor technology has rapidly transformed healthcare by revolutionizing various aspects of patient monitoring, diagnostics, and treatment. This chapter explores the diverse applications of sensor technology in healthcare, highlighting its significant impact on improving patient outcomes and enhancing overall healthcare delivery. One key area where sensor technology excels is in remote patient monitoring (RPM). Sensors integrated into wearable devices, such as smartwatches and fitness trackers, enable continuous monitoring of vital signs like heart rate, blood pressure, and activity levels. RPM not only allows for early detection of health issues but also facilitates timely interventions, reducing hospital readmissions and improving patient management for chronic conditions. In diagnostics, sensors play a crucial role in medical imaging modalities such as MRI, CT scans, and ultrasound. Advanced sensors enhance image quality, enable real-time imaging during procedures, and contribute to more accurate diagnoses.
Empowering Chronic Disease Self-Management
Authors: Banerjee Ranjan , Gazi Toufique Ahammad , Paul Kaushik , Mukherjee Debmalya , Basu Dipankar , Nayak Partha Shankar
Published: May 2024

The healthcare industry is undergoing a radical shift with the rapid advancement of sensor technology. This ushers in an era of personalized, proactive, and data-centric medicine. Chronic diseases, such as diabetes, heart failure, and respiratory conditions, are a major burden on global healthcare systems. Traditional management relies heavily on infrequent consultations and reactive interventions. This chapter explores the transformative potential of sensors, examining how they are revolutionizing disease management, remote patient monitoring, and treatment optimization. We will delve into various sensor applications, their impact on clinical decision-making, and the exciting possibilities for preventative healthcare. Notably, sensor-based monitoring facilitates continuous health data collection, leading to improved disease monitoring and the development of personalized treatment strategies.
Enhancing Mobility
Authors: Kumar Vikash , Das Sima
Published: May 2024

The integration of sensor technology into mechanical prosthetics has revolutionized the field, allowing for precise control and natural movement. Sensors provide valuable feedback to clinicians, aiding in the customization and optimization of prosthetic devices for individual patient needs. This amalgamation of sensor technology and mechanical prosthetics represents a significant breakthrough, showcasing the potential of technological innovation to transform treatment modalities and restore functionality to those in need. The enhanced mobility afforded by sensor-driven prosthetics improves patient quality of life and independence. Clinicians benefit from real-time data insights, enabling them to make informed decisions and adjustments to optimize prosthetic performance. Customization ensures a personalized fit and function, addressing unique patient requirements. This transformative approach underscores the impact of advancing technology in healthcare, particularly in improving mobility solutions for individuals with limb impairments.
Use of Smart Materials in Physiotherapy
Authors: Verma Rajni , Akhai Shalom , Wadhwa Amandeep Singh
Published: May 2024

This chapter explores the use of smart materials in physiotherapy, highlighting their potential to revolutionize patient care and rehabilitation practices. It discusses various types of smart materials, such as shape memory alloys, electroactive polymers, piezoelectric materials, magnetorheological materials, and thermoresponsive polymers, and their unique properties and applications. The chapter also discusses the use of smart materials in assistive devices, wearable technology, rehabilitation, pain management, and tissue healing. The advantages of smart materials include personalization, real-time monitoring capabilities, and non-invasive nature. However, challenges such as cost, integration with existing healthcare systems, and durability concerns need to be addressed. The chapter concludes by exploring future advancements in smart materials, integrating them with other technologies like AI, robotics, and nanotechnology. Ethical considerations and patient acceptance are also emphasized to ensure responsible and patient-centric adoption.
Systemic Barriers and Challenges Impeding Women's Financial Independence, Empowerment, and Career Growth
Authors: Hosanoo Zuberia Aminah , Doargajudhur Melina , Deonaran Yarti
Published: May 2024

The contribution of women has been significant and incremental for decades. Despite enormous efforts of feminists on women's emancipation in the 21st century, women are nevertheless victims of the patriarchal society. Since eras, women in all cultures and societies globally subjected to wide-ranging societal pressure, constraining their role in society, and in their household - limited to bearing and rearing children, household chores, and family maintenance. With education, few women started earning and contributing financially to the household income. Their role in the work spheres have long been limited to low level jobs and career advancement to senior leadership positions have been slow and they are globally under-represented. Empowerment of women occurs through their financial independence and wellbeing. The chapter will be guided by the theories of planned behaviour, self-determination theory and the self-efficacy theory to assess the systemic barriers to women's career progress and propose some valuable recommendations.
Empowering Moroccan Women Through Social Entrepreneurship
Authors: Haoucha Malika , Jehhad Fadila
Published: May 2024

This chapter explores how social entrepreneurship empowers women in Morocco through an inclusive approach towards disabled women by advancing their economic, social, and political empowerment. The chapter moves progressively by providing a historical context of women's status in Morocco, conceptual frameworks, and impact assessments, with a view to depicting the significant role of social entrepreneurship in driving women empowerment, with a special focus on including women with disabilities. The chapter underscores the importance of collaborative efforts and supportive policies in fostering an enabling environment for sustainable change. It focuses on the significant impact of social entrepreneurship on women's empowerment and calls for continued support and investment in women-led initiatives to create a more inclusive, equitable, and empowered future.
The Relationship Between Premenstrual Syndrome and Menstrual Attitude
Authors: Srinivasan S. , Rawat Somya , Yadav Kanchan
Published: May 2024

The lives of women are characterized by honor and numerous responsibilities, including navigating biological complexities and cultural dynamics. Adjusting daily routines to accommodate menstruation is crucial. This study examines premenstrual syndrome (PMS), menstrual attitude (MA), and quality of life (QoL) for women, aiming to understand their experiences and perspectives on the menstrual cycle. Conducted with 124 female participants aged 18 to 35 in Dehradun, it highlights the significant challenges posed by PMS and MA, particularly for working women and college students, compared to men. Addressing these challenges empowers women and enhances their community. The research underscores the importance of socioeconomic background, revealing greater difficulties faced by women of lower economic status during menstruation. Overall, the study contributes valuable insights into the multidimensional impact of PMS on women's lives and emphasizes the need for supportive attitudes and behaviors towards menstruation.
Purchase Intention of Sustainable Fashion
Authors: Pires Paulo Botelho , Morais Cláudia Filipa Silva , Delgado Catarina , Santos José Duarte
Published: May 2024

In today's world, the idea of sustainable fashion is gaining traction. Finding a link between pricing and the purchase of sustainable clothes is the aim of this study. Regression models and t-tests of two independent samples (two-tailed tests) were applied by means of the application of a questionnaire. The study found that consumers' willingness to pay for price increases is related with non-linear (quadratic or exponential) product pricing. The results of this study suggest that consumers are willing to pay higher prices for sustainable clothing. Through an understanding of the relationship between price and consumer behavior, businesses can more effectively align their pricing strategies with the demands of environmentally conscious consumers.
The Influence of Environmentally Mindful Marketing Tactics on the Perceptual Framework and Predispositions of Generation Z Shoppers in the Indian App
Authors: Hothur Sanjana S. , Paramasivan Senthilmurugan , Sankar Mallika , Bhagat Shikha , Thomas Roshna
Published: May 2024

Green marketing decisively helps businesses distinguish themselves from their competition, strengthen their image, and obtain the attention of consumers who increasingly prefer environmentally conscious businesses. By elevating a business's reputation and image, green marketing creates an effect on how people consider a brand and enhances customer loyalty and retention. The “green generation,” or Generation Z, is well-known for its sustainable product preferences and ecological concerns. The study analysed how green marketing techniques relate to and affect Gen Z customers' purchasing habits in India's garment industry. The study targeted 300+ Gen Z consumers through an online cross-sectional survey to get information on their perceptions of green brands, green marketing tactics, purchase intentions, and buying patterns. This study found that green marketing tactics used by fashion firms have a favorable impact and the ability to affect various aspects of customer behavior.
Unveiling the Viral Thread
Authors: Ravi Kumar N. , Kulkarni Prasad , Kalaiarasai V.
Published: May 2024

The research examined and clarified the complex dynamics that underlie the virality of Indian fashion brands. It also quantified and analyzed virality coefficients, exploring the elements and processes that facilitated the expansion of these brands' reach across various channels. The study used bibliometric analysis, classifying academic papers on the dynamics of Indian fashion brands by year, nation, and subject area by using data from the Scopus database. The basis for further research into the virality coefficients was laid by the visual mapping of keyword co-occurrences, the identification of clusters, and the extraction of variables using the VOSviewer software. Advanced textual analysis techniques were used for topic modeling at the same time, including lemmatization, TF-IDF matrix generation, and latent Dirichlet allocation (LDA). The Python programming language made it easier to see hidden motifs in the literature.
Virtual Try-On Application and Fashion Purchase Intentions Among Gen Z Consumers in Malaysia
Authors: Indiran Logaiswari A. P. , Putri Afifi Alifia Salsabila , Fu Chen , Dungog Jadel Autor
Published: May 2024

Online shopping, integral to modern life, lacks the tactile experience of physical retail, a significant shortfall in fashion. This gap is being addressed by incorporating virtual reality (VR) and augmented reality (AR) technologies to meld the digital and in-store experiences. This research critically examines the impact of virtual try-on (VTO) applications on Gen Z's fashion purchasing intentions in Malaysia, assessing factors like virtual presence and perceived ease of use. A quantitative approach, involving a survey with 94 participants, was taken. The study presents a novel model merging the technology acceptance model (TAM) with virtual presence. Results indicate Gen Z's overwhelming endorsement of VTO, with perceived usefulness as their main buying intention driver. These insights offer valuable direction for VTO developers, marketing strategists, and policymakers aiming to promote VTO in fashion retail.
Overcoming Obstacles in the Advancement of Industry 5.0 With the Digital Innovation
Authors: Kumari Y. Saritha , Sheoliha Neelam , Rajitha Akula , Reddy Uma , Singla Atul , Tomar Yesha
Published: May 2024

Various industrial eras have seen a transformation due to emerging technologies. Numerous innovative technologies, such as cobots, cloud computing, virtual reality, big data, and artificial intelligence (AI) have emerged as a result of Industry 5.0. Three guiding principles—human centricity, flexibility, and sustainability—direct Industry 5.0. The process of identifying human diseases remains difficult despite the “smart healthcare industry 5.0” and information technology improvements. Precise forecasting of human ailments, particularly fatal cancers, is essential for individuals' well-being in the intelligent healthcare sector 5.0. The proposed model is further supported by a fused weighted deep extreme machine learning (FDEML) strategy for enhanced lung disease prediction. The suggested FDEML system has confirmed to be the most reliable diagnosis of cancer sickness in the smart healthcare sector 5.0. The proposed FDEML approach surpassed the most sophisticated published techniques, receiving a score of 97.1%.
Navigating the Digital Frontier
Authors: Sukanya R. , Benedict John
Published: May 2024

Industry 5.0 is a shift in industrial processes involving robots and AI, enhancing efficiency and customization. International organizations are implementing Industry 5.0, leveraging cognitive virtual minds, AI, additive technologies, and 5G networks. However, Industry 5.0 presents challenges such as job displacement by low adaptability machines and requires substantial investments to transform existing industrial setups. Creative thinking, cybersecurity, and human-machine collaboration are essential for overcoming these challenges. Cyber-Physical system integration, cybersecurity, IoT, AI, and human-machine collaboration are key strategies. Continuous learning, virtual training, and digital twin technology are essential for a skilled workforce. Collaboration is essential for tackling complex digital issues, and organizations must anticipate future trends and prepare for technological breakthroughs. Ethical thinking and responsible AI practices are also crucial. Industry 5.0 is a transformative journey involving advanced technologies into manufacturing processes.
Industry 5.0 and Sustainable Development
Authors: Sharma Priya , Sharma Ridhima , Parwani Dalima
Published: May 2024

Despite significant research, no one has been able to conclusively prove the link between government spending and GDP growth. The study is of utmost importance due to the lack of agreement on the conclusions of the prior empirical findings. According to the findings of a recent literature analysis, increased government spending is associated with increased economic growth. The purpose of the study is to show the impact of public spending on economic growth. In the current study, the qualitative method is utilized to understand the objective of the research. Government expenditure does not necessarily have a positive effect on the economy, according to research. In some trials, researchers found no difference between whether it had a positive or negative effect. There is some evidence to suggest that government expenditure contributes to economic growth, although this is not conclusive. The study suggests that high income countries should reduce their overall spending and evaluate how they spend money on education and healthcare in order to make those areas of spending more productive.
Strategic Implementation of Big Data Analytics for Industry 5.0's Sustainable Expansion
Authors: Sheela S. Christina , Srivastava Satyajee , Kumar S. Vinod , Aravinda K. , Singh Navdeep , Yusupov Akhmadbek
Published: May 2024

In the dynamic world of Industry 5.0, where human connection with cutting-edge technology is necessary, the performance of big data analytics is crucial. Finally, Industry 5.0 has taken the position of Industry 4.0, which was suggested a decade ago to resolve the industry's shortcomings as well as its virtues. It aims to achieve societal objectives beyond employment and growth by placing human welfare at the centre of manufacturing systems and firmly providing riches for the long-term development of all humankind. While most individuals concur that Industry 5.0 has the necessary sustainability features, there is a lack of information regarding how this agenda might actually bring about sustainable change. To close this knowledge gap, the current chapter explains how the industry 5.0 transition should be handled to promote sustainable advancement.
A New Tool for Technological Innovation in the Era of Knowledge-Based Economy
Authors: Kaddachi Hayet , Ben Zina Nanceur
Published: May 2024

Demand-side policies have received more attention in recent years. Science and technology parks have traditionally been a supply-side innovation policy instrument and have not always succeeded in achieving their objectives and promoting the knowledge-based economy. This study conducts two surveys and constructs two science and technology park management models based on the survey results. One of the surveys covers 76 experts and managers of Chinese science and technology parks, while the other survey covers 24 experts from science and technology parks from 15 countries. These models are compatible with third generation science and technology parks. As for innovation policy, it tends towards demand-oriented policies and should be more effective than supply-oriented models. The results showed that tenant incentives and linkages between science and technology parks should shift from a supply-driven model to a demand-driven model.
Can Renewable Energy Abate the Effect of Urbanization on Carbon Dioxide Emissions?
Authors: Alhassan Hamdiyah , Kwakwa Paul Adjei , Aboagye Solomon
Published: May 2024

The goal of this study is to evaluate how urbanization and renewable energy affect CO2 emissions in Africa and to determine how much of a moderating influence renewable energy has on this relationship. The study relies on secondary data from 1995 to 2021 for seven African countries (Morocco, Egypt, Tunisia, Kenya, South Africa, Ivory Coast, and Zimbabwe) that have witnessed a high level of growth in their urban population in recent times. The data was analyzed using regression analysis with the fully modified OLS. The findings indicate that CO2 emissions are directly increased by urbanization and decreased by renewable energy. Once more, it was discovered that in the chosen African nations, renewable energy lessens the impact of urbanization on CO2 emissions. The policy implications from the findings include intensifying energy efficiency and identifying innovative ways of switching from fossil fuels to renewable energy sources.
Corporate Governance of Sustainable Artificial Intelligence (AI) in Strategic Communication (SC) and Digital Marketing (DM)
Authors: Seif Ghada
Published: May 2024

The discourse on the ethics of artificial intelligence (AI) is increasing, which renders the concept of “AI ethics” vague and difficult to implement. Nevertheless, AI ethics are closely associated with strategic communication in public relations and digital marketing. The current study aims to identify the features of the institutional framing of (AI) sustainability ethics through textual analysis of a UAE Code of Ethics. The study belongs to pilot and analytical studies within the scope of ethical use of AI in strategic communication and digital marketing. The research initially included secondary research where qualitative data has been collected for designing research questions regarding the institutional framing of sustainable AI as a framework for strategic communication and digital marketing in the United Arab Emirates. Mixed method of data collection adapted using the textual analysis form and content analysis form to collect data about the priorities and frame that were relied upon in the study sample. The researcher developed a scale consisting of 10 categories to determine the frames and priorities of the institutional framing for responsible AI in the United Arab Emirates.
Multilateral Trade Agreements' Effect on Regional Trade
Authors: Ali Walid
Published: May 2024

This study compares the effects of multilateral trade agreements on intraregional commerce in the African regions of the Economic Community of West African States (ECOWAS) and the Southern African Development Community (SADC). Every year, dynamic panel data and econometric techniques were employed to account for endogeneity, serial correlation, heteroscedasticity, individual country characteristics, and interdependencies between the countries in each area. The data was collected between 2000 and 2018. Two estimates were made: one using the multilateral accords' tariff measures and the other using their non-tariff measures. The empirical analysis's conclusions indicate that, when it comes to investment and technological advancement (particularly in trade infrastructure), the SADC region somewhat outperforms ECOWAS.
Exploring Gen Z Perspectives Toward ChatGPT in Academic Contexts
Authors: Venugopal Koppala
Published: May 2024

This study delves into the attitudes of Generation Z (Gen Z) towards ChatGPT within academic contexts, employing a rigorous analysis. With the rise of advanced language models, understanding how the digitally native Gen Z perceives and engages with ChatGPT is crucial for shaping the future of academic technology. The research assesses various factors influencing Gen Z attitudes, including accessibility, academic pressure, time constraints, language barriers, curiosity, instant gratification, fear of missing out, and technology integration. The study utilizes a robust regression model to comprehensively analyze these factors and their impact on Gen Z's anticipation of increased ChatGPT usage in academics. The research underscores the significance of Gen Z's perspectives in shaping the integration of ChatGPT into educational landscapes. By unraveling their attitudes and perceptions, this research aims to provide valuable insights for educators, policymakers, and developers, facilitating informed decisions for optimizing the utility of ChatGPT in academic settings.
Artificial Intelligence-Supported Teacher Tools to Increase Participation in Online Courses
Authors: Üstün Ayşin Gaye , Yavuz Mehmet
Published: May 2024

The aim of the study is to examine AI tools that will increase student engagement in online courses and provide support to teachers. In this context, AI tools were examined as a result of the literature review. These tools were examined under six headings: adaptive learning platforms, customized material creation tools, feedback and guidance tools, exam and test creation tools, student engagement monitoring tools, and classroom management tools. Some of the tools analyzed are ALEKS, SlidesAI, Squirrel, MagicForm, Quizbot, Nearpod, and Knewton Alta. It can be argued that these tools provide a range of benefits such as improving learning outcomes by increasing student engagement in online courses, personalizing learning experiences, improving teaching quality, providing tailored courses for students, and improving assessment. However, concerns such as unethical use of student data, limitations in measuring and assessing the learning process, and the inability of automated assessment systems to adequately assess emotion and creativity should be taken into account when using these tools.
Artificial Intelligence Techniques to Optimize the Traffic in Urban Areas
Authors: Vjii S. , Vij Renu , Natha Manju , Mohammad Q. , Singh Navdeep
Published: May 2024

This study delves into the potential of AI to transform urban conveyance by reinforcing traffic flow and automobile route growth. Improving transportation adeptness, hateful hate journey opportunities, and lowering environmental impacts are all aims of the AI-stimulated answers being grown. This study takes a close look at current systems for traffic signals, instrument expelling, and machine intelligence systems. The research evolves smart finishing algorithms by joining absolute-time traffic dossier accompanying lineaments of the parking lot network and private travel habits. To humble blockage hotspots, the submitted AI plan finds the best routes by analysing current traffic environments and regulating the ruling class utilizing optimisation and machine intelligence methods. Extensive simulations and instances in miscellaneous urban domains judge AI-driven planning.
Monitoring, Operations, and Performance Assessment Through AI and Cloud-Based Plants
Authors: Mayuri K. , Chandrashekar Rakesh , Nijhawan Ginni , Mohammad Q. , Arthii Arthi
Published: May 2024

This work outlines the steps necessary to build a cloud-based control-loop performance monitoring system that can centrally monitor data from several industrial facilities in different parts of the world. Given the high expenses associated with on-premises installations (including systems, human resources, maintenance, and upgrades), this is an attractive option for many businesses, and it's all made possible by current Industry 4.0 technology.
Cloud Computing Agent-Based Performance Evaluation of Resource Monitoring System in IaaS
Authors: Anjaiah P , Jain Alok , Mohammad Q. , Dhan Ma , Madhan M. S.
Published: May 2024

Applications now operating on virtual servers will be moved to another virtual or physical server, or perhaps to the same server altogether, to save power consumption in cloud data centres and maximize the use of computing resources. Optimizing resources is directly affected by knowing when to move an application to a virtual machine. Efficiently tracking the use of computer resources is the surest way to optimize performance. Therefore, to assess the efficiency of virtual machines, they require an all-inclusive intelligent monitoring agent. They provide an agent-based system for tracking resource use, namely CPU and memory, in this chapter. Virtual machine resource utilization data is collected and shown on a dashboard by the monitoring agent. The dashboard shows important performance indicators like memory and CPU use. In order to optimize resources, the cloud administrator might use the data provided by the dashboard's statistics report.
Integrate the Artificial Intelligence and Human to Develop the Food Processing Unit
Authors: Ajitha G. , Anandhi R. J. , Singla Atul , Mohammad Q. , Shalini S.
Published: May 2024

Among the numerous sorts of Industries 5.0, machine learning incorporates AI, which is both a necessary and promising component. Companies in the food, health, and pharmaceutical industries, among others, consistently provide excellent outcomes, which are good for customers. An AI system that provides data in a way that people can understand and use is proposed in this chapter. Therefore, the chapter's explanation of Food Industry 5.0 is based on the idea that AI and HR are converging. The result will be that businesses will have more information on the most recent innovations in the food industry, including how to save time and money while increasing output. As a result, the food industry can make a lot of money by preparing meals in the most promotional, sanitary, and healthful way possible.
Mixed Methods Designs
Authors: Hoang Giang Thi Linh , Nguyen Bao Trang Thi
Published: May 2024

Mixed methods research (MMR) has gradually gained popularity as a desirable procedure to provide robust insights into a problem or research question. Referred to as the third major “research paradigm,” MMR marks a turning point where the two previous movements of quantitative and qualitative methods are combined. This chapter begins with the definition of MMR before walking researchers through the key issues, including research problems that can be best addressed using MMR, core and complex mixed methods designs, the formulation of research questions in MMR studies, data collection, analysis and integration in MMR, and reliability and validity in conducting MMR studies. The chapter folds into its discussion exemplary mixed methods studies in applied linguistics and language learning so that readers can start visualizing their own MMR projects in their topics of interest.
Exploring Research Trends and Potential in Conjunction With ChatGPT and Other AI Tools
Authors: Israni Riaz Kurbanali
Published: May 2024

This study delves into contemporary research trends in the dynamic field of artificial intelligence (AI), particularly focusing on ChatGPT and its synergies with other AI tools. The research investigates the evolving landscape of AI applications, emphasizing collaborative potentials and emerging paradigms. The exploration encompasses diverse domains such as natural language processing, machine learning, and human-computer interaction. Through a comprehensive analysis of recent literature, this abstract sheds light on the interplay between ChatGPT and other AI tools, examining their combined efficacy in addressing complex challenges. The study also explores the ethical implications and societal impacts associated with the integration of these technologies. By identifying current research gaps and potential future directions, this work contributes to the ongoing discourse surrounding AI advancements, fostering a deeper understanding of the synergistic possibilities in the realm of intelligent systems.
Bibliographical Survey of Extensive Uses of AI-Based Tools in Real-Time Intelligent Bidding in Electricity Markets
Authors: Bhardwaj Ajay , Nawaz Sarfaraz
Published: May 2024

The successful implementation of the electricity market model has challenged the conventional way of operating the power system. In the electricity market model, power system is restructured to promote private companies to participate in a market structure where companies can sign a binding contract with large customers or can participate into pool market structure. Generation companies (GENCOs) and customers submit their bids in blocks in a pool market structure. GENCOs can achieve profit through strategic bidding due to the competitive nature of market structure. For this objective to realize, historical data of bidding of other participants should be modeled. This chapter addresses the application of dynamic programming, game theory and various AI based tools to form strategic bidding in the real time electricity market. To extend the analysis, a comparison of methods of designing bidding strategies has been presented. Based on this comparison, a critical review has been carried out to investigate the leading methods of strategic bidding.
Set of heart failure early mortality prevention methods
Authors: Serzysko Boguslawa , Mroczkowska Renata , Podsiadlo Beata , Wisniewska Boguslawa Kupczak
Published: May 2024

Heart failure is a common chronic disease with a poor prognosis that often ends in death. The research thus aims to thoroughly investigate ways in which the prognosis of heart failure could be improved. For this purpose, a 9-month study was conducted with a group of people who followed the Mediterranean diet, and the effects of this diet on the cardiovascular system and the state of the body as a whole were assessed. The study found that adherence to the principles of the Mediterranean diet improved the quality of life of patients, according to the quality-of-life questionnaire (the average score was 81.3 at the beginning of the study and 87 points at the end of the study), and the level of adherence to the Mediterranean diet in the study group increased from 30 points to 39.7, according to the MedDietScore (MDS) scale. There was also an improvement in appetite and sleep quality. A decrease in the average blood pressure in the group was recorded (from 140/95 to 137/88 mmHg). It was found that due to proper nutrition, the participant’s Body Mass Index (BMI) was reduced (from 31.2 kg/m2 to 29.6 kg/m2), and the percentage of overweight people in the study group was also reduced from 44% to 26%. It was noted that no deterioration in heart failure class or functional class was recorded during the study. The left ventricular ejection fraction remained unchanged.
Quality use of medicines: Weighing SSRIs and TCAs
Authors: Gray Andy
Published: May 2024

No abstract available.
Health Psychology in family practice: Fulfilling a vital need
Authors: Kagee A. , Naidoo P.
Published: May 2024

In the context of a busy family practise, medical practitioners often have little time to attend to the psychosocial concerns of patients. Nevertheless, psychological and behavioural factors play an important role in the trajectory of health problems. Health Psychology, a relatively new profession in South Africa, addresses the relationship between behaviour and health. This emerging field is concerned with the emotional problems associated with poor health, behavioural risk factors that contribute to the onset, exacerbation and maintenance of health problems, and co-morbid psychiatric conditions commonly seen in primary care settings. Among the various interventions dispensed by health psychologists are psychological interventions to manage chronic pain, counseling to help cancer patients manage distress or mood turbulence, self-care regimens for adolescents diagnosed with diabetes, and interventions to help AIDS patients manage stress. The role of the health psychologist is becoming increasingly important as part of a holistic approach to meeting the needs of patients in family practice settings.
Quality use of medicines: The patient with Acute Cough
Authors: Gray A.
Published: May 2024

Surveys of family practitioners prescribing habits have often found that patients presenting with the respiratory tract infections are associated with increased levels of discomfort, as their expectations may well be in conflict with the therapeutic approaches proposed in the evidence-based guidelines. For example a critical incident survey amongst practitioners in the North of England showed that they experienced the greatest discomfort when facing patients with respiratory diseases, musculo-skeletal problems or anxiety, or when contemplating the the use of antibiotics, tranquillisers, hypnotics, or symptomatic remedies. While decisions around antibiotic choice (or use at all) in - the symptomatic relief of the cough itself.
The potential future change of the suitability patterns of six leishmaniasis vectors in Iran
Authors: Trajer Attila J.
Published: May 2024

Background & objectives: Visceral and cutaneous leishmaniasis are endemic in Iran. The aim of this study was to model the changing suitability patterns of five confirmed and one suspected leishmaniasis vector Phlebotomus species resident in the country.

Methods: The potential present and future suitability patterns of the sandfly species in Iran were modelled using climate envelope forecasting method for the reference period 1970–2000 and the future period 2041–2060. Results: The reference period climate of Iran seemed to be the most suitable for Phlebotomus perfiliewi and Phlebotomus tobbi and less suitable for Phlebotomus simili, while Phlebotomus neglectus, Phlebotomus papatasi and Phlebotomus sergenti showed intermediate values among the studied sandfly species. The modelled changes in the suitability values show a similar pattern in the case of the six species, even the exact magnitude of the modelled values varied. The model results indicate that climate change could decrease the sandfly habitability in the present-day arid regions in Central Iran. The Iranian sandfly populations will move to higher elevation regions, and the suitability values of the sandfly species are predicted to increase in the foothills of the mountainous regions in the northern and the western part of the country.

Interpretation & conclusion: The increase of the maximally suitable areas in Iran was found which was predicted to be accompanied by the parallel shrinkage of the sandfly-inhabited areas in the arid regions of the country. Topographical conditions could strongly influence the suitability patterns of the vectors in Iran.
Mobile app based pictorial identification key for Indian anophelines
Authors: Gupta Sanjeev Kumar , Nagpal B. N. , Singh Himmat , Vikram Kumar , Nayak Ajay , Chalga M. S. , Srivastava Aruna , Joshi M. C. , Saxena Rekha
Published: May 2024

Background & objectives: Malaria control strategies for a particular area largely depends on the correct identification of the mosquito species prevalent in that area. This study aimed to develop an android mobile app named ‘Pictorial Indian anophelines key’, which can be used to identify the 58 species of Indian female adult anophelines based on morphological characteristics.

Methods: The pre-requisite to use this app requires a minimum basic knowledge of mosquito morphological characteristics and features. The user needs to view the collected mosquito under a dissecting binocular microscope and has to select the observations on the app presented in the form of labelled picture format. The app uses a divide and conquer algorithm which narrows the selection from genus level to final identification of species.

Results: The app is user-friendly, quick and it accurately identifies the mosquito species in a maximum of six consecutive clicks. The result displays a complete image of identified mosquito along with its quick identification features. It can be used for both subgenus Cellia and Anopheles.

Interpretation & conclusion: This pictorial key-based mobile app could be helpful for entomologists, malariologists, researchers, public health workers as well as students in the quick and correct identification of anopheline mosquitoes prevalent in India which in turn could be helpful in devising appropriate approaches towards malaria control and prevention. The app can be modified as per future requirements.
Co-distribution of dengue and Chikungunya viruses in Aedes mosquitoes of Delhi, India
Authors: Vikram Kumar , Nagpal B. N. , Gupta Sanjeev Kumar , Tuli N. R. , Singh Himmat , Srivastava Aruna , Saxena Rekha
Published: May 2024

Background & objectives: In India, vector-borne diseases, dengue and chikungunya are major public health concerns. In recent decades, dengue outbreaks have been reported in almost every part of India. In 2016, India recorded 101388 dengue cases and 210 deaths, including 4337 cases and six deaths in Delhi, whereas Chikungunya outbreaks were reported from several states in 2006, with 1.3 million cases. The Dengue virus (DENV) and Chikungunya virus (CHIKV) are both transmitted by the same Aedes mosquito species. DENV and CHIKV co-infections have been reported in 13 of 98 countries, with both viruses being transmitted locally. The reasons for the sudden upsurge in cases of these diseases are undetermined.

Methods: From March to December 2016, a study was carried out in 66 localities of Delhi in collaboration with the Municipal Corporation of Delhi. Localities were selected on the basis of confirmed dengue cases reported during the last five years and the study area was visited once a month. A door-to-door entomological survey was conducted to identify Aedes breeding in all water-filled containers in and around houses. Both immature and mature stages of Aedes mosquitoes were collected. Mosquitoes were pooled (n≤10 each for male and female) breeding site-wise and stored in Trizol at -80°C. The Chikungunya and dengue viruses were detected using a multiplex RT-PCR. Results: A total of 981 Aedes mosquitos were distributed among 146 Pools, and DENV and CHIKV were detected using Multiplex Reverse Transcriptase-PCR. Chikungunya virus was identified in 19 pools of females captured adults, whereas dengue virus was found in 8 pools of females captured adults. There was no evidence of coinfection in any of the pools.

Interpretation & conclusion: In endemic areas, continuous surveillance for both dengue and Chikungunya viruses is required to identify and characterize these viral pathogens. This information will also help implement effective strategies to combat outbreaks produced by these emerging viral pathogens.
Biosensor-based methods for Crimean-Congo hemorrhagic fever virus detection
Authors: Zandi Milad , Rasooli Azadeh , Soltani Saber , Teymouri Samane , Mohammadi Shima , Abbasi Samaneh
Published: May 2024

Crimean-Congo hemorrhagic fever is a tick-borne disease with high fatality rate that is endemic in some parts of Asia, Africa and Europe. Rapid diagnostics of Crimean-Congo hemorrhagic fever (CCHF) is necessary for appropriate clinical management of this disease and also can be useful in preventing of secondary spread from human-to-human, though, common tests which are used to diagnose Crimean-Congo hemorrhagic fever have some limitations. Here we review 1) common diagnostic tests for CCHF, 2) limitations in laboratories methods of CCHF and 3) biosensor researches for detection of CCHF. It is necessary to design and develop an effective, rapid, and also low-cost tool such as biosensor to detect Crimean-Congo hemorrhagic fever. Based on the key role of rapid detection of CCHF in the control of infection, development of a biosensor as a rapid tool seems very major in the diagnosis of CCHF, though, there are limited studies on this field and more researches are needed in this issue.
Pre-Procedural Serum Albumin Concentration is Associated with Length of Stay, Discharge Destination, and 90-Day Mortality in Patients After Transcatheter Aortic Valve Replacement
Authors: Beydoun Najla Y. , Tsytsikova Lyubov , Han Haesun , Furzan Alberto , Weintraub Andrew , Cobey Fredrick , Quraishi Sadeq A.
Published: May 2024

Background:

As visceral protein expression may influence outcomes in patients with cardiovascular disease, we investigated whether pre-procedural albumin concentration is associated with length of stay (LOS) and 90-day mortality after transcatheter aortic valve repair (TAVR).

Methods:

We retrospectively analyzed data from TAVR patients at our institution between January 2013 and December 2017. For all patients, baseline albumin concentration was assessed between one and four weeks before the procedure. To investigate the association between albumin concentration and outcomes, we performed regression analyses, controlling for Society of Thoracic Surgeons, New York Heart Association classification, and Kansas City Cardiomyopathy Questionnaire 12 scores.

Results:

Three hundred eighty patients were included in the analyses. Cox-proportional hazards regression showed that patients with albumin concentrations <3.5 g/dL were 80% more likely to have prolonged ICU LOS (HR 1.79; 95%CI 1.04–2.57, P = 0.03) and 70% more likely to have prolonged hospital LOS (HR 1.68; 95%CI 1.01-2.46, P = 0.04) compared to patients with albumin concentrations >3.5 g/dL. Logistic regression showed that patients with albumin concentrations <3.5 g/dL were four times more likely to not survive to 90 days (OR 3.94; 1.13–12.63, P = 0.03) after their TAVR compared to patients with albumin concentrations >3.5 g/dL.

Conclusion:

Our data suggest that patients with pre-procedural albumin concentrations <3.5 g/dL are at an increased risk of adverse outcomes after TAVR compared to patients with albumin concentrations ≥3.5 g/dL. Prospective studies are needed to determine whether risk stratification based on pre-procedural albumin can improve outcomes and whether targeted interventions can improve pre-procedural albumin concentrations in potential TAVR candidates.
Williams-Beuren Syndrome with Pseudoaneurysm of Aortic Arch and Infective Vegetations for Modified Broms Procedure
Authors: Das Devishree , Makhija Neeti
Published: May 2024

Williams-Beuren syndrome is a rare genetic malformation with predilection for supravalvular aortic stenosis. Apart from cardiovascular malformation, hypocalcemia, developmental delay, and elfin facies, challenging airway make perioperative management more eventful. Association of infective endocarditis within the aortic arch and pseudoaneurysm formation is infrequent. We, hereby report a case of pseudoaneurysm formation and infective vegetation within the aortic arch in a patient with Williams syndrome and the role of transthoracic echocardiography in its perioperative management.
Electroconvulsive Therapy in a Patient with Left Main and Triple Vessel Coronary Artery Disease (CAD)
Authors: Waikar Hemant Digambar , Mendis Nirosha , Neema Praveen Kumar
Published: May 2024

Electroconvulsive therapy (ECT) is a safe and effective treatment for many psychiatric disorders. The passage of electrical current lead to hemodynamic alterations which may be detrimental to patients suffering from severe coronary artery disease. We describe perioperative anesthetic management of a patient having severe left main coronary artery stenosis (LMCAS) with severe triple vessel coronary artery disease (TVD).
AngioVac System for Infective Endocarditis
Authors: Poliwoda Salomon D. , Durbach Joshua R. , Castro Alvaro , Herman Jared , Caltagirone Charles , Kurup Ajay , Rosen Gerald , Tuda Claudio , La Pietra Angelo
Published: May 2024

Three different patients presented to our institution with right-sided infective endocarditis (IE). All three were found to have vegetation on the tricuspid valve. These patients were started on appropriate antimicrobial therapy according to their blood cultures sensitivities. Despite this management, the patients’ clinical status did not improve solely on antimicrobials. Surgery was, therefore, indicated to remove the vegetations. Traditionally, the appropriate management would have been invasive surgery. However, these patients were subjected to a novel treatment in our institution for right-sided IE: percutaneous mechanical vegetation debulking with an AngioVac system. After this procedure, all three patients’ clinical status improved drastically. This new less invasive approach seems to offer the same results as the traditional invasive surgery, with faster recovery time. More comparative studies are needed to confirm this idea.