bluuebunny/crossref_metadata_2025 huggingface dataset:
Psycho-Social impact of Covid-2019 on Work-Life Balance of Health Care Workers in India:
Authors: Kaur Paramjeet , Arora Gurminder Kaur , Aggarwal Ankita
Published: December 2023

Innumerable studies related to COVID-19 carried out across the globe have demonstrated that HCWs worked in stressful and difficult socio-economic environments and, therefore, had a disturbed work-life balance. However, negligible efforts have been made to analyze the factors that impacted it. In order to investigate this phenomenon, a cross-sectional study was undertaken utilizing data obtained directly from a sample of 799 healthcare workers (HCWs) employed in eight hospitals who were actively working throughout the period spanning from April 2020 to March 2022 within the COVID-19 pandemic. Five latent variables, namely, Psychological Stress (PS), Socio-Economic Impact (SEI), Interpersonal Relationships (IPRs), Government Intervention (GI) and Work-Life Balance (WLB), have been developed using a self-designed questionnaire with separate sections for each of them. A comprehensive structural model to determine the variables influencing WLB is estimated using PLS-SEM. The mediating role of IPR in the relationship between PS and WLB is investigated, and the moderating effect of two variables on WLB, 'Government intervention' and 'whether a worker is affected by COVID or not', has been examined. T-test and ANOVA techniques are also applied to examine the impact of these variables across different socio-demographic characteristics. Our findings indicate that variables PS and SEI negatively impact WLB whereas IPRs have positively impacted it. Government intervention, however, did not exhibit any significant impact on it. Further, IPRs partially mediated the relationship between PS and WLB. The role of government is completely non-significant in moderating the relationships of PS and SEI with WLB. A healthcare professional affected by COVID significantly moderated the mediating relationship between PS and IPR and the direct relationship between IPR and WLB. Subsequently, it favourably affected the WLB of HCWs. Our study recommends that the government and hospital authorities should strengthen the resilience-building interventions and expand their efforts to provide social support to HCWs at the hospital and community levels. Concerted actions must be taken to preserve HCWs' work-life balance amidst the challenging circumstances they face, especially during the pandemic.
Emotional Labour and its Outcomes Among Nurses at a Tertiary Hospital – A Proposed Model
Authors: A Pooja , A Bhoomadevi
Published: December 2023

Emotional labour is a crucial aspect of nursing, involving the management of emotions to meet organizational and societal expectations. Limited research exists on understanding emotional labour and the outcomes of emotional labour among nurses, which can range from positive outcomes like job satisfaction and patient satisfaction to negative outcomes like emotional exhaustion and job exhaustion. This study aims to assess emotional labour and its outcomes among nurses. It contributes to a better understanding of its impact and informs interventions to enhance nurses' well-being and job performance. To assess the emotional labour performance among nurses, to assess the emotional conflict among nurses, to determine the positive and negative outcomes of the emotional labour performance among nurses and to propose a model for emotional labour performance in healthcare a descriptive study was conducted among a sample population of approximately 270 nurses from Sri Ramachandra Hospital G-Block (Chennai, Tamil Nadu, India). Subjects were recruited from the nursing department, and after obtaining their consent, they were given a questionnaire to collect demographic data and evaluate emotional labour and its outcomes. Additionally, direct observations using the Observed Emotion Rating Scale were conducted. The study utilized systematic random sampling. The sample size was determined to be 270 nurses, with a final response rate of 87%. The reliability of the questionnaire was assessed using Cronbach's alpha, which yielded satisfactory results. The primary data collected was analyzed using Microsoft Excel and SPSS software with appropriate statistical tools. The findings are emotional labour performance; deep acting was more prominent than surface acting among nurses. Emotional harmony was found to be higher than emotional dissonance and emotional excess in emotional labour conflicts. Positive outcomes of emotional labour were more prevalent than negative outcomes. Deep Acting and surface acting significantly affected positive and negative outcomes. This study highlights the significance of emotional labour in nursing and its impact on nurses' well-being and job performance. By prioritizing nurses' emotional well-being and implementing interventions to mitigate the negative outcomes of emotional labour, healthcare organizations can create a supportive work environment that enhances both nurse satisfaction and patient care.
Performance and Accuracy Enhancement During Skin Disease Detection in Deep Learning
Authors: Kaur Parvinder
Published: December 2023

Epidermolysis bullosa is a type of skin cancer that is consistently ranked as among the worst diseases in the world. Accurate categorization of skin lesions in their early stages may assist during clinical deliberation, hence increasing the possibility of a cure before cancer starts. The components that are often affected by direct sunlight are the ones most likely to acquire a form of skin cancer. These include the head, and body parts that are more obvious in men than women are the legs and feet. However, it can also develop on parts of your body that are rarely subjected to air and light, such as your hands and feet. Researchers today are thinking about using deep learning to identify skin cancer more quickly and accurately. Compression operations have been performed to boost performance, while a hybrid deep learning model has enhanced accuracy metrics like recall, precision, and f1-score.
Bilateral Teleoperation with a Shared Design of Master and Slave Devices for Robotic Excavators in Agricultural Applications
Authors: Rozaini Ilham Amani , Ahmad Zakey Nurul Emylia Natasya , Mohd Zaman Mohd Hairi , Ibrahim Mohd Faisal , Mustaza Seri Mastura , Mohamed Moubark Asraf
Published: December 2023

The main objective of this study is to develop a shared design of master and slave devices for bilateral teleoperation mechanisms used for robotic excavators in agricultural applications. In robot teleoperation research, many potential applications within controlled and hazardous environments come to light. Robots, with their capacity for remote control by human operators through master devices, often employ the master-slave teleoperation approach. This strategy finds frequent use across manufacturing, construction, and agriculture industries. The master-slave system necessitates two interdependent components that collaboratively steer the robot in real time. However, challenges arise when manipulating the robot arm proves challenging due to structural differences between the master device (such as a joystick) and the slave device (the robot arm). A stable operational framework must be established for the robot to function optimally. This teleoperation system employs a master device to govern the actions of the slave device, a dynamic that heavily influences the operational complexity. Hence, the focal point of this study is to enhance the master-slave algorithm for teleoperation applications that rely on controlling robot arm movements. Despite the differing dimensions of the master and slave devices, they both share a common structure. The kinematic model bridging these components must be intelligible to ensure user-friendliness, facilitating effortless robot control. Calculating the robot arm's end effector movement and positioning involves employing the forward kinematics of the arm, determined through Denavit-Hartenberg parameters and transformation matrices. By mitigating communication delays between the master and slave devices using a technique centered around the robot arm's end effector position, the effectiveness of teleoperation can be significantly improved. Our designed robot arm attains 80% to 100% precision across joints. In summary, streamlining the robot arm's structure and minimizing delays offers a route to bolstering both stability and efficiency in robotic movement.
Corporate Sustainability with Forensic Auditing: An Evidence from India
Authors: Gupta Meenu , Aggarwal Pradeep Kumar , Gupta Rekha
Published: December 2023

The repercussions of fraud are huge and sufferers are many. An organisation's very existence and sustainability of an organisation is threatened by frauds, which remain unchecked due to weak corporate governance norms and inadequacy of audit function in detection of financial statement frauds. This culminates in the closure of the entity at the cost of the interests of various stakeholders. Forensic accounting and auditing not only help detect fraud but can also prevent fraud by strengthening the corporate governance practices in an organisation. ABG Shipyard Ltd., belonging to one of the oldest and most prestigious ABG groups in India, building warships and other vessels for the Indian Navy, was once considered to be the largest private shipping yard. The Global Financial Crisis hit the company in 2008, and the consequent failure to repay the loans led to the corporate failure and liquidation. The fraud at the company was detected through a forensic audit at the State Bank of India’s behest in 2019 and the Central Bureau of Investigation (CBI) was able to register the case by 2022. This study tries to understand what went wrong and how, by analysing the annual reports, audit reports and financial statements and computing of Beneish M-score and Altman Z-score. The study finds that the erring auditors, self-dealing promoters and faulty management are the root causes of this fraud.
Myocardial Involvement in CREST Syndrome: A Case Report of a Rare Myocarditis’ Etiology
Authors:   Cardiology Department, Centro Hospitalar Baixo Vouga, Aveiro, Portugal., Carvalho Simao
Published: December 2023

Limited cutaneous systemic sclerosis also known as CREST syndrome - represents a limited form of systemic sclerosis, and although cardiac involvement is common in systemic sclerosis, it is extremely rare in the limited form [1].
Post-COVID-19 Syndrome vs. Consequences of Vaccination with Special Reference to Cardiovascular Conditions
Authors:   Peoples Friendship University of Russia, Russia, Jargin Sergei V
Published: December 2023

Consequences of COVID-19 vaccination partly overlap with symptoms of post-COVID-19 syndrome. Putative mechanisms are also overlapping: endothelial damage and hyper coagulation, hypoxia, autoimmunity, inflammation, downregulation of angiotensin-converting enzyme.
Volatility Modeling and Forecasting in Stock Markets: A Comparative analysis
Authors: Dr. M. S. R. Mariyappan S. Izaz Ahammed ,
Published: December 2023

This study compares ARCH, GARCH, stochastic volatility models, as well as machine learning-based methods as it explores the crucial field of volatility modeling and forecasting in stock markets. Using a descriptive design in addition to secondary data collection, the study adopts a deductive approach and interpretivist philosophy. The results demonstrate the GARCH model's strong ability to predict volatility, particularly in times of increased market turbulence. Different results are obtained using machine learning-based methods and stochastic volatility models, highlighting the importance of careful model selection. The sensitivity analysis provides useful information for practitioners by highlighting the GARCH model's robustness to parameter variations. The present study offers significant insights into the dynamic field of financial market analysis, providing direction for future research endeavors in addition to risk mitigation tactics.
Women in Leadership: How to Break the Glass Ceiling in Business
Authors: Dr. Gajendra Kumar Gupta, Dr. Vinay Chaturvedi, L. Bharani Dr. Smriti Sethi, Ms. B. Sugatha kumari, Ms Pallavi,
Published: December 2023

This research study examines "Women in Leadership: How to Break the Glass Ceiling in Business." This paper examines the barriers women encounter in leadership and presents solutions to break the glass ceiling using proven theories and actual facts. Leadership development programmers help women overcome gender prejudice, according to our research. The report also emphasizes the importance of supportive workplaces in gender diversity in leadership. These results have major consequences for organizations, society, and politicians, enabling a more inclusive and equitable future. We encourage our readers to use this information as a call to action, a resource for genuine change, and a path for leadership equality and diversity in business and beyond.
To Study the Impact of Chatgpt Tool on Academic Learning: Perspective of Students and Teachers in Higher Education
Authors: Dr. Shweta Batra,  Dr. Sunita Verma
Published: December 2023

Purpose  

The purpose of this paper is to present a preliminary study of (1) The usage of ChatGPT tool by students and teachers, (2) The impact of ChatGPT tool on students and teachers learning aspects. (3) Advantages and Disadvantages of using ChatGPT tool in academic learning process.

Design/methodology/approach  

This research employs both qualitative and quantitative methodologies, with data analysis conducted utilizing SPSS software and in person interviews conducted with teachers and students. The study encompasses a sample of 115 students and 100 teachers of higher education institutes, as participants, of which 95 students and 73 teachers met the eligibility criteria.

Findings 

The findings suggest that both students and teachers make extensive use of ChatGPT for various purposes, including academic learning. Among the students, a majority agreed that they use it for academic learning. However, in the case of teachers, most of them indicated that they use ChatGPT for purposes other than academic learning or teaching.

Originality / Value 

This research makes the unique contribution of identifying the impact of ChatGPT tools by students and teachers in higher education. The research also finds potential advantages and disadvantages of the use of ChatGPT and the ethical concerns attached to it’s usage.
Enhancing Village Government Accountability through IT-Enabled Financial Management in Lebak District, Banten Province, Indonesia
Authors: Deni Permana, Thomas Bustomi, Kamal Alamsyah
Published: December 2023

INTRODUCTION: In order to enhance the accountability of village government in Lebak Regency, Banten Province, particularly in the management of village finances that has not been effectively executed.

OBJECTIVES: This research aims to utilize Information Technology (IT) as a means to strengthen this accountability

METHODS: This study employs a case study approach with a qualitative research method.

RESULTS: The implementation of Village Financial Management by the Village Government in Lebak Regency, Banten Province, has not been running effectively. This implies that the role of the Village Government in Village Financial Management has not been optimized. Several factors can affect the effectiveness of Village Financial Management by the Village Government in Lebak Regency, Banten Province, including legal and regulatory accountability, process accountability, program accountability, and policy accountability. However, the implementation of these factors has not been fully effective, especially concerning legal and regulatory accountability and policy accountability. To strengthen Village Government accountability in Village Financial Management in Lebak Regency, Banten Province, it is essential to pay attention not only to the factors of legal and regulatory accountability, process accountability, program accountability, and policy accountability but also to strengthen the Technical Guidance factors related to village financial management, Mechanism factors in the Administration of Village Finance, and Factors in the Oversight Function of the Village Consultative Body (BPD).

CONCLUSION: By leveraging Information Technology (IT) in this context, the enhancement of accountability can be achieved more effectively. IT can serve as a crucial tool to support accountability and efficiency in village financial management in Lebak Regency, Banten, ensuring that village funds are utilized effectively and in accordance with applicable regulations.
Exact Solutions for the Flow Spatiotemporal Linear Stability by Using a Research Paradigm Associated with Fractional Calculus
Authors: Dr. S. K. Tiwari, Dr. S.K. Sahani,  P. Chandra
Published: December 2023

In this research we studied the stability of certain types of liquid flows using mathematics. Specifically, we looked at flows that are slow to moderate in speed and have a property called viscoelasticity. We used a mathematical equation called the Fractional Upper Convicted Maxwell equation. They found that there are certain points in the flow where the behaviour changes, and wanted to identify these points. In this explanation, we show how the power in the equation that measures how a particle moves in a small scale follows a specific pattern. The exponent in this equation ranges from 0 to 1. This equation helps us understand how a particle moves in a small scale. Revis an abbreviation for Reverend, which is a title given to clergy members, such as priests or pastors, indicating their position in the religious community. Allow or permit. This text is about a mathematical equation from 1995. It discusses the relationship between a number  and the derivative (which measures how a value changes) in a non-linear stress equation. The stability studies focus on two different conditions: how particles move in Rouse chain melts with a value of α equal to 1/2, and how particles move in Zimm chain solutions with a value of α equal to 2/3. The analysis of how stable something is over time shows that when the fractional derivative decreases, the stability also decreases. (a) the least stable mode becomes weaker (b) the highest point of the least stable mode moves to lower Re values (c) the highest point of the least stable mode in the Rouse model tends to approach the limit of Re → 0. Evanescent modes, complete and convective instabilities, and temporal stability are sorted using the Briggs idea of analytic continuation. When the fluid is flowing quickly, the spatiotemporal phase diagram reveals an unusual region of time stability. This shows that the surroundings may not be uniform, which is why the flow is being obstructed.
Impact of Phishing Activity on Youth: A Study in Srikakulam District of Andhra Pradesh.
Authors: Dr. U. Kavya Jyotsna, Miss. G. Naveena, Dr. Ramana Yadla
Published: December 2023

During Pandemic, there was a significant raise in online purchases that enabled the hackers to launch a series of fake logistic attacks, posing as delivery firms like UPS or DHL Similar patterns were seen occurring during the Christmas, Sankranti/Pongal holidays every year. Keeping these facts in view, the present study focused on phishing attacks on festive changes. The qualitative study developed semi structured interview schedule and adopted snow ball sampling technique to collect data. Data was analyzed using manual content analysis. The study reveals that the Phishing attacks increased during festive season due to excessive time and online access to shopping.
Containers in Latin America and the Caribbean (LAC) “throughput”
Authors: Lugo Manuel Barbosa Guerrero Julián Ricardo Romero Garibello, Jairo Jamith Palacios Rozo,
Published: December 2023

Although there is progress regarding the total movement of containers in movement of full and empty units, there is a need for a breakdown at the port level or at the country level and the lack of knowledge regarding what is measured in “TEU”, a unit equivalent to twenty feet. The purpose of this study was to analyze the throughput trend of container ports in Latin America and the Caribbean (LAC), the information was taken from a secondary source with the participation of 43 countries. They completed the instrument of the Economic Commission for Latin America and the Caribbean (hereinafter referred to by its acronym, ECLAC), which includes the Latin American and Caribbean Institute for Economic and Social Planning (ILPES). The analysis of the behavior of trade (sum of exports and imports via full containers) in the period focuses on LAC and analyzing exports and imports, transshipment and throughput by coast, there are two divisions or main branches of the decision tree can be seen in which 35 observations can be seen in the first set of data and 28 for the second, additionally, the data is recorded in a Split Point contained between 0.194 and -0.513, inputs and equipment for productions are also imported. In conclusion, the model does not respond with respect to the classification in which precision and completeness present low or null values in the decision tree where the highest values locate the Brazil node; On the other hand, the smaller values point to the Aruba node, finally, the larger values are for Anguilla.
Bibliometric Study: scientific articles from the Technology Acceptance Model
Authors: Jairo Jamith Palacios Rozo John Pablo Cruz Bastidas, Lugo Manuel Barbosa Guerrero,
Published: December 2023

Bibliometric study of articles on technology acceptance from Elsevier's specialized Scopus database. The productivity of documents is measured by year, author, affiliation, country, area of knowledge and sponsor a network map analysis with the VOSviewer software, the productivity of documents per year shows an increase of 2006, the highest productivity is found by the authors: Amornkitpinyo, T., Venkatesh, V., Chiu, W., Sun, Y. y Wang, N.; highest document productivity by affiliation Universiti Teknologi MARA, Universiti Sains Malaysia and University of Arkansas, the productivity of more documents by country United States, China, Taiwan and Malaysia, the highest document productivity by funding sponsor is National Natural Science Foundation of China, National Institutes of Health, Ministry of Science and Innovation and Ministry of Higher Education, Malaysia, according to the visualization of the network map, the terms innovation and competitiveness have a high co-occurrence with an approximation of terms such as ““technology, acceptance”, “consumer” and the term “risk”” are strongly linked to investigate these relationships.
Winds in Multi-Family Housing Buildings
Authors: Jairo Jamith Palacios Rozo Francisco Javier Lagos Bayona, Lugo Manuel Barbosa Guerrero,
Published: December 2023

Although there is progress regarding high-rise residential buildings, there is a need to know the pathologies caused by the absence of a bioclimatic design or a lack of knowledge regarding bioclimatic architecture, characteristics of the materials, simulation context and passive and active sustainability strategies that can be applied. The purpose of the present study was to apply a psychometric design for design techniques applied to housing complexes, the case study made up of 300 high-rise housing or horizontal property buildings built and inhabited to evaluate the comfort of users by calculating the sustainable characteristics of the materials and bioclimatic simulation using the design builder software. The results show that according to the calculation in the residential complex, a wind shadow is produced on the other buildings in the city of more than 800 meters (Z2), that is, it protects them from the wind or prevents other buildings from being ventilated. It is concluded that climate change, by affecting our environment, affects our cities and it is necessary to link new design and construction strategies.
Energy-Positive Rectangular Office Building - A Study of High rise, Mid rise and Low rise Buildings
Authors: Neha Yadav, Dr. Parveen Kumar
Published: December 2023

As global concerns regarding climate change and environmental sustainability escalate, the architectural and construction industry faces mounting pressure to develop energy-efficient and ecologically responsible buildings. This research paper delves into the complex relationship between regenerative design parameters and the height of rectangular office buildings, specifically in the context of composite zones. The study investigates how different design approaches influence building height in low-rise, mid-rise, and high-rise categories, and their potential impact on achieving energy-positive outcomes. It aims to identify the optimal combination of regenerative design parameters for each building height type to enhance overall energy performance and environmental sustainability. The findings reveal the significant role of regenerative design parameters in shaping the energy performance of rectangular office buildings of varying heights. They underscore the cumulative impact of these parameters, emphasizing the importance of a holistic approach to design and construction. The results also demonstrate that the potential for energy savings in low rise, making low rise structures more suitable candidates for energy-positive solutions. The integration of renewable energy technologies, such as solar photovoltaic and building-integrated photovoltaics, emerges as a crucial factor in achieving energy-positive outcomes.
Effect Of Increased Coating Weight on Print Characteristics of Various Paper Stocks
Authors: Deepak Kumar
Published: December 2023

The research delved into the collective impact of calendaring and coat weight on the optical, surface, and printing characteristics of coated papers. K control bar coater was employed to apply coatings containing blends of paper coating pigments—Ground Calcium Carbonate (GCC), clay, and Precipitated Calcium Carbonate (PCC)—in ratios of 60:40:00 and 60:00:40, while maintaining a constant amount of additives. Various calendaring roll nips were utilized to examine how calendaring affected papers coated with different pigment blends. The findings revealed that coatings with PCC exhibited heightened bulk and opacity. Sheets with PCC displayed greater brightness compared to those with clay. While the gloss improvement effect was somewhat less pronounced in PCC coatings compared to clay, the impact of calendaring on ink holdout and paper surface strength was minor, yet more favorable for coatings containing PCC. Notably, a significant enhancement in print gloss was observed with higher proportions of PCC in the paper coating. Additionally, increasing coating weight contributed to the augmentation of desired properties.
Use Of Blockchain Technology Enhancing Cybersecurity
Authors: Ajay Saini, Nisha Sharma, Adarsh Mishra, Nikhil Gupta
Published: December 2023

The evaluation paper explores the combination of blockchain generation in enhancing cybersecurity measures. It delves into numerous studies' findings and applications, highlighting the impact of blockchain on securing virtual transactions, shielding touchy statistics, and fortifying decentralized structures. The paper aims to offer a comprehensive review of the evolving landscape wherein blockchain intersects with cybersecurity, providing insights into present-day demanding situations, emerging trends, and future potentialities on this dynamic discipline.
Empowering Multilingual AI: Cross-Lingual Transfer Learning
Authors: Abhishek Singhal,  Happa Khan, Aditya Sharma
Published: December 2023

Multilingual Natural Language Processing (NLP) and Cross-Lingual Transfer Learning have emerged as pivotal fields in the realm of language technology. This abstract explores the essential concepts and methodologies behind these areas, shedding light on their significance in a world characterized by linguistic diversity. Multilingual NLP enables machines to process global collaboration. Cross-lingual transfer learning, on the other hand, leverages knowledge from one language to enhance NLP tasks in another, facilitating efficient resource utilization and improved model performance. The abstract highlights the growing relevance of these approaches in a multilingual and interconnected world, underscoring their potential to reshape the future of natural language understanding and communication.
Analysis Of Energy Consumption Pattern in Regenerative Architecture of Positive Office Buildings
Authors: Neha Yadav, Dr. Parveen Kumar
Published: December 2023

The construction and building industry is widely recognized as a major contributor to the world's pressing challenges. This is especially evident in rapidly urbanizing and industrializing countries like India, where a significant portion of buildings are constructed with a focus on immediate needs, often neglecting environmental considerations, ecological impacts, and the occupants' requirements. Regenerative design holds immense promise in ushering in a new era of sustainable and positively impactful architecture. It has generated substantial enthusiasm among architects, builders, and their clients. Currently, there are no green buildings that effectively mitigate environmental energy consumption. Given this context, realizing the full professional and scientific potential of regenerative architecture necessitates the development of a comprehensive design framework to guide practitioners throughout the entire project lifecycle, from design and construction to operation. This article, study how to overcome the obstacles of regenerative design in the context of energy consumption benchmarks. Initially, the article examines patterns of energy consumption in existing NZEB, NNZEB, energy-positive buildings and benchmarks of energy-positive buildings. To achieve net-zero energy structures, buildings must increase their energy efficiency, reduce site energy consumption, and have renewable energy installations installed on them. Identify design parameters that support a regenerative design approach in the built environment. This performance standard finds its values in the form of a table of their assessments, such as building envelopes and solar panel efficiency. The article uses Net Present Value (NPV) analysis to identify a link between the value of different design parameters and energy demand indexes, together with the life cycle of each design component, to research Life Cycle Cost Analysis (LCCA) in Regenerative Design. Finally, using various strategies/ Benchmarks and creating various scenarios, analyze ways and technology to determine how much energy is regenerative. As a result, develop an assessment multi-step methodology for regenerative design methods in various contexts. This section presents the results obtained from energy simulations of the studied building conducted using the Design Builder software. The initial part of the simulation focuses on the baseline scenario. Subsequently, the study explores the influence of each energy consumption pattern and conducts a Life Cycle Cost Analysis (LCCA) to compare solutions for the case study building.
University business consultancy
Authors: Lugo Manuel Barbosa Guerrero Julián Ricardo Romero Garibello, Jairo Jamith Palacios Rozo,
Published: December 2023

Although there are studies regarding university business consultancies. This data set “Business Consultancy - UNICOLMAYOR” provides the response rate of the business consultancy service received by the business consultancy of the Universidad Colegio Mayor de Cundinamarca – Unicolmayor” of the business consulting advisors to questions posed by four constructed identities [i.e., gender (male, female) x Type of Advisor (entrepreneur, Entrepreneur)]. The purpose of this study was to determine the quality of the business advisory service received from the business consultancy of the Universidad Colegio Mayor de Cundinamarca.

323 entrepreneurs and businessmen participated. They completed an online survey divided into sections such as characterization, the analysis of contingency tables and the Chi-Squared Tests. And Vovk-Sellke was found to accept the alternative hypothesis (H1): “There is a significant association between the variables Gender and Type of Adviser, with a greater participation of the female gender in the entrepreneurial category, reinforcing the hypothesis and Chi-Squared.”

In the Bayesian contingency table, the categories of Gender, Type of Advisee and four Age Ranges converged. The Bayes Factor 10 indicates the independence between the age of the advisee and their gender, the Log Odds Ratio quantified the strength of the relationship between variables for a 95% credibility for the interval between 18 years and 25 years, which observes that the BF₁₀ = 797 and BF₀₁ of 0.00125 with the central value record of 1857. There is a relationship or association between the variables Gender and Type of Adviser.
Prevalence and probability between “attending and availability” in university business clinics
Authors: Lugo Manuel Barbosa Guerrero Diego Alejandro López Ordoñez, Jairo Jamith Palacios Rozo,
Published: December 2023

There are studies regarding university business consultancies, but in this case there is a need to know the prevalence of the question or the lack of knowledge regarding the probability of a difference and an informative factor. The purpose of the present study was to determine the prevalence of the question and the probability of a difference or informative factor. This data is from the “Business Consultancy - UNICOLMAYOR” which provides information on the questions: Bayesian contingency table for the relationship of the questions. Are you available to receive the advice on Saturdays at the established time? against the question: Is this the first time you have attended the UCMC Business Consultancy? by the business consultancy of the Universidad Colegio Mayor de Cundinamarca - Unicolmayor", from the clinic's advisees to questions posed by two constructed identities [i.e., First time attending the clinic (Yes, No) x Availability to receive advice (Yes, No)]. 570 potential advisors participated, completing an online survey divided into sections such as characterization, business sector, geographic and financial. The Log Odds Ratio plots analyze the effect that the relationship of qualitative variables has on others that are dichotomous, used for retrospective experimental designs, that is, for those in which what happened is already known and which usually have a cross-section. The prevalence of the question: Is this the first time you have attended the UCMC Business Clinic? versus the question: Are you available to receive advice on Saturdays at the established time? The Odd ratio with a confidence interval, which concludes that it is ten times more likely that there is a difference than there is not, and a smaller Bayes factor that is also informative.
Retracted
Authors: Retracted
Published: December 2023

Retracted
The Effect of Chemical Reaction on an Unsteady MHD Free Convective Flow Through Porous Medium with Hall Current
Authors: Manoj Kumar Nahlia, Ajay Aaseri Ashesh Kumar Jharwal,
Published: December 2023

In this paper we investigate the effects of Chemical Reaction, Hall currents, Soret and Dufour on unsteady MHD free convective flow through porous medium in the presence of a magnetic field and first order chemical reaction. The similarity solutions were obtained using suitable transformations and the resulting similarity ordinary differential equations were solved by finite difference method. A parametric study illustrating the influence of different flow parameters on velocity, temperature and concentration fields are investigated.  The skin frictions at the plate due to tangential and lateral velocity fields are obtained in non-dimensional form. The effects of the various physical parameters on these fields are discussed with help of tables and graphs.
Movement Medicine: A Comprehensive Guide to Physiotherapy
Authors: Arfa Alam, Manohar Kumar, Reena Thapa, Tailang Dumi
Published: December 2023

The field of physiotherapy is poised for transformative changes driven by technology integration, personalized treatment plans, and a shift towards prevention. Physiotherapists are increasingly utilizing wearable devices and tele-rehabilitation for patient monitoring and support. Personalized treatment plans, informed by wearable data and biomechanics, are replacing generic protocols. A proactive focus on injury prevention and multidisciplinary collaboration with healthcare professionals is emerging. As the global population ages, geriatric care will become central to physiotherapy. Evidence-based practice, holistic healthcare, and patient empowerment are shaping the future of this discipline. The future of physiotherapy promises innovative and comprehensive care for improved patient outcomes and overall well-being.
The Body's Resilience: Exploring the Power of Physiotherapy
Authors: Alka Singh, Supriya Kumari, Reena Thapa, Balwinder Kaur
Published: December 2023

This article explores the profound impact of human connection on healing and resilience in healthcare and life. Human connection fosters emotional support, trust, and empowerment in healthcare settings, enhancing patients' well-being and motivation. Beyond healthcare, these connections provide social support, validation, and coping mechanisms that strengthen individuals' resilience in the face of adversity. In a world increasingly driven by technology and efficiency, this article underscores the enduring significance of the human touch and the role it plays in fostering emotional well-being and collective strength. Human connection serves as a timeless reminder of our shared humanity and our capacity to heal, endure, and thrive.
Revolutionizing Diagnostics: Innovations in Medical Lab Technology
Authors: Jitendra Saraswat, Pankaj Kumar, Giogi Nania, Chamta Gurung
Published: December 2023

Medical laboratory technology is undergoing a transformative evolution, marked by innovations such as automation, point-of-care testing, next-generation sequencing, artificial intelligence, digital pathology, liquid biopsies, and 3D printing. These advancements are reshaping diagnostics, enhancing accuracy, speed, and personalization. Automation and robotics optimize efficiency and reduce errors. Point-of-care testing brings rapid diagnostics closer to patients, improving emergency care and access. Next-generation sequencing enables personalized medicine. Artificial intelligence augments diagnostics across various fields. Digital pathology enhances accuracy and remote consultations. Liquid biopsies provide real-time insights. 3D printing offers tailored medical solutions. As these technologies mature, they promise to revolutionize healthcare, ultimately improving patient outcomes and healthcare system efficiency.
The Effect of Entrepreneurial Ideas and Skills on the Intentions of Algerian University Students to Launch New Start-Ups
Authors: MohdSobri Minai Soheyb Kahlessenane, Jauriyah Shamsuddin,
Published: December 2023

In the fast-paced and ever-evolving world of entrepreneurship, start-ups have become synonymous with innovation and limitless potential. One of the significant channels used to encourage them is investing in the capabilities and ideas of visionary youths and university students who are considered society’s elite. However, despite the Algerian economy’s shift towards supporting entrepreneurship, especially among students, there is limited entrepreneurial activity overall, particularly in innovative start-ups, which has remained notably low. This indicates less inclination toward launching new start-ups among the students. Thus, the primary objective of this research is to examine the role of entrepreneurial ideas (EID) and entrepreneurial skills (ESK) in influencing the intention to launch new start-ups (ILNS) in Algeria. A cross-sectional research design was employed, involving the distribution of a pre-designed questionnaire among students registered in Algerian universities. Data collection was conducted across all the regions of Algeria, yielding a total of 297 valid responses. Data was analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) via Smart-PLS 4 software. The findings highlight significant correlations between EID, EKS, and ILNS. These outcomes furnish fresh insights into the significance of cultivating personal entrepreneurial competencies. Moreover, they shed light on the mechanisms for nurturing entrepreneurship and offer practical recommendations to bolster students’ capacities to launch new start-ups, thereby contributing to the local economy.
Digital Banking Services Adoption and its Determinants in the Middle Eastregion
Authors: Muhamad Abrar Bin Bahaman Alaeddine Ziouache,  Amirul Haqeem Bin Abd Ghani,
Published: December 2023

The financial services sector in the Middle East area has experienced a significant transformation, characterized by a prominent transition towards digital banking services. The objective of this article is to offer a theoretical analysis of digital banking in the Middle East region through the integration of the TPB Model. Additionally, it aims to identify the factors that influence the acceptance of digital banking services in the Middle East region. This study constructed a conceptual framework by combining the Theory of Planned Behaviour (TPB) with perceived ease of use, security, and complexity. The findingssuggested that there is a need to examine the uptake of digital banking among users of Middle Eastern banks, as it is considered an innovative service.This research provides significant insights for financial institutions, governments, and industry stakeholders who are interested in understanding the intricate dynamics of digital banking adoption in the Middle East, as the region aims to establish itself as a centre for digital innovation in the financial sector. Gaining a comprehensive understanding of the intricacies surrounding the factors that influence adoption can provide valuable insights into devising effective approaches to expedite the acceptance and use of digital banking services. This, in turn, can facilitate the advancement of financial inclusion efforts and contribute to the stimulation of economic growth within the region.
Technology Integration among Teachers: The Role of Principal’s Technology Leadership Practices
Authors: Bity Salwana Alias Wirda Nawawi, MohamedYusoffMohdNor ,
Published: December 2023

This study aims to identify the relationship between technology leadership practices among principals and the technology integration among teachers. It was quantitative study involving 492 teachers fromPeninsular Malaysia. Descriptive analysis shows that the principal's technology leadership and the technology integration among teachers at school are performed at anextremely high level. The MANOVA analysis shows that there is no significant difference for the technology leadership practices based on the experience of being a principal, but there is a significant difference based on the number of ICT courses attended. While the structural model test reveals that there is a significant relationship between the principal's technology leadership practices and the technology integration among teachers (β = 0.413; t = 5.761). The standard coefficient value shows that all dimensions in the technology leadership construct are predictive factors for encouraging the technology integration among teachersin schools where the dimension of visionary planning is the dominant predictor and makes a positive contribution of 93.2%. The findings of the study can provide input to those responsible for providing training in preparing various initiatives to help principals improve the level of technology leadership.
A Study on Variable Selections and Prediction for Covid-19 and Delta Dataset Using Machine Learning Approaches
Authors: N. Sankar, S. Manikandan
Published: December 2023

Ongoing initiatives to combat COVID-19 prioritize widespread vaccination, ongoing research, and implementing public health measures to mitigate disease transmission and its impact. Staying informed about the most current guidance provided by local health authorities and the World Health Organization (WHO) is crucial for safeguarding your well-being and that of your community. Data mining entails exploring patterns, trends, relationships, and valuable insights within extensive datasets by employing various techniques and algorithms. This process aims to extract useful information from structured and unstructured data sources. This paper considers COVID-19-related dataset like state name, state code, district, confirmed, Active, deceased, recovered, delta confirmed, delta deceased, delta recovered. The machine learning approaches are used to analyze and predict the dataset using linear regression, multilayer perceptron, SMOreg, random forest, random tree, and REP tree. Numerical illustrations are provided to prove the proposed results with test statistics or accuracy parameters.
A Study on Variable Selections and Prediction for Crop Recommender System with Soil Nutrients Using Stochastic Model and Machine Learning Approaches
Authors: S. Dhanavel, A. Murugan
Published: December 2023

To develop a crop recommendation system using soil nutrient data, you'll need a dataset containing details on soil nutrients and the crops that thrive in particular soil conditions. While I can't supply a specific dataset, I can offer guidance on the types of data you should seek or gather for building such a system. Machine learning, a subset of artificial intelligence (AI) and computer science, centers on harnessing data and algorithms to replicate human learning processes, steadily enhancing its precision over time. This paper considers crop recommender dataset with soil nutrients-related dataset like N, P, K, ph, EC, S, Cu, Fe, Mn, Zn, B, label. The machine learning approaches are used to analyze and predict the dataset using Logistic, Multilayer Perceptron, Simple Logistic, Hoeffding Tree, random forest, random tree, and REP tree. Numerical illustrations are provided to prove the proposed results with test statistics or accuracy parameters.
Time Series Analysis Based Air Pollution Level Prediction Using Long Short Term Memory Recurrent Neural Network with Attention Mechanism
Authors: K. Azhahudurai, V. Veeramanikandan
Published: December 2023

Air pollution has grown significantly as a threat to the environment during the past few decades. It has had a profound effect on the ecosystem, public health, and safety. For government agencies to design plans for pollution prevention, predicting the extent of air pollution becomes essential for maintaining the environment and environmental protection. One of the efficient approaches to solving the problem of predicting the level of air pollutants is time series analysis. The drawbacks of conventional machine learning algorithms in time series analysis are solved by employing deep learning algorithms in a variety of ways. Deep Learning models learn features and dynamics exclusively and directly from the data, in contrast to Machine Learning models, such as autoregressive models (AR) or exponential smoothing, where feature engineering is conducted manually and frequently certain parameters are adjusted while taking domain expertise into account. To forecast the level of pollution in the following hour using the current hour's weather and pollution levels, a Recurrent Neural Network (RNN) model based on Long Short Term Memory (LSTM) units has been trained, tested, and optimized. The predictive model has been developed with both uni-variate, which takes into account only one feature, and multi-variate, which takes into account many features. To improve the performance of the model on long input sequences attention mechanism has been implemented.