bluuebunny/crossref_metadata_2025 huggingface dataset:
Applications of Artificial Intelligence in the Medical Field: A Survey
Authors: Sivaguru R  , Saranya K  , Murugasan J  , Lakshaga Jyothi M  , Kiruthika E
Published: March 2024

Artificial intelligence (AI) has revolutionized numerous industries, including healthcare. With its ability to process large volumes of data and make predictions, AI has shown significant potential in improving diagnostics, treatment planning, and patient care. This paper presents a comprehensive survey of recent research and applications of AI in the medical field. The survey covers various AI techniques such as machine learning, deep learning, and natural language processing, and their applications in areas such as disease diagnosis, image analysis, drug discovery, and personalized medicine. Furthermore, this paper discusses challenges and ethical considerations associated with the adoption of AI in healthcare, highlighting the need for careful integration to ensure patient safety and privacy.
Survey on Soil Micro-Nutrients Analysis and Crop Recommendation System in Smart Agriculture
Authors: P. Abinaya  , A. Faaiza  , S. Tharshni  , G. Vishali  , M. Aravindan  , Dr. G. Santhi
Published: March 2024

Healthy and sufficient crop and food production are very much essential for everyone as the population is increasing globally. At present, many advancements have been made in recent times, mainly, the roles of the data analysis and machine learning tools help a farmer to analyze and make better decisions in each stage of cultivation. Once suitable crop seeds are chosen, the farmer shall proceed with seeding, monitoring crop growth, disease detection, finding the ripening stage and then crop cutting. The main objective is to provide a continuous support system to a farmer so that he can obtain regular inputs about his field and crop. This survey thoroughly analyzes different soil micro nutrients such as nitrogen, boron, potassium and sulphur to improve Crop Recommendation Systems. It explores soil analysis components, various algorithms, and datasets used in precision agriculture.
Comparación de resultados clínicos de enfermedad tromboembólica venosa según manejo ambulatorio versus hospitalario
Authors: Gregalio Felipe Aníbal , Juana Camila , Manattini Palmili Gian , Martínez Bernardo Julio , Bluro Ignacio Martin , Vázquez Fernando Javier , Grande Ratti María Florencia
Published: March 2024

Objectives. To compare the occurrence of death, bleeding, and recurrence according to inpatient or outpatient management of venous thromboembolic disease (VTE). Materials and methods. Retrospective cohort that included a consecutive sampling of VTE consultations between 2016 and 2019 diagnosed in the Emergency Center of a private hospital in Argentina. Results. There were 1202 cases, 908 with isolated deep vein thrombosis (DVT), 205 with isolated pulmonary embolism (PE), and 89 cases of combined DVT - PE. 66% were women, with a median age of 77 years; 72% of cases were managed on an outpatient basis (n= 862). Comorbidities associated with hospitalization were obesity (p=0.03), chronic obstructive pulmonary disease (COPD) (p=0.01), heart failure (CHF) (p=0.01), chronic renal failure (CKD) (p=0.01), and cancer (p=0.01). At 90 days, the cumulative incidence of bleeding was 2.6% in inpatient compared to 2.9% in outpatient management (p=0.81); recurrence was 0% versus 0.9% (p=0.07), and mortality was 42.9% versus 18.9%, respectively (p=0.01). The HR for 90-day mortality in hospitalized patients adjusted for confounders (sex, age, type of VTE, obesity, CKD, CHF, COPD, and cancer) was 1.99 (95% CI 1.49-2.64; p=0.01). Conclusions. In this elderly, and predominantly female Argentine population, the 90-day mortality in patients hospitalized for VTE was higher than mortality in patients with outpatient management, without differences in recurrence or major bleeding.
QUO VADIS EDUCATION? COMPARATIVE STUDY UPON THE RECEPTION OF ONLINE EDUCATION DURING COVID-19 PANDEMIC AMONG ROMANIAN AND HUNGARIAN UNIVERSITY STUDENTS
Authors:   University of Oradea, Faculty of Economic Sciences, Department of International Business, Oradea, Romania, HAMBURG Andrea
Published: March 2024

March 2020 brought a considerable change into the lives of millions of people: working, learning and many other elements of every day routine moved to the online space. Although, since the launching of the multitude of MOOCs (massive open online courses) offered by entities like Khan Academy, edX, Coursera and others, the idea of home office and even of online education has not been completely new, there still is a basic difference between the alternative, facultative aspect of these facilities and the regular character forced by the Covid-19 pandemic. Home schooling, remote education have become the new normality including both advantages and drawbacks. While there is a general consent upon the ineffectiveness of home schooling – at least regarding Romania –, is this valid for tertiary education, too, or could online education offer some perspectives for future academic instruction? Having this in mind, we conducted a research at the Faculty of Economic Sciences of the University of Oradea, Romania, covering the period of online education from March 2020 to June 2021, trying to find an answer to questions like: could the advantages (flexibility in time and space management, broader accessibility cancelling space limits, partial reduction of requirements at least regarding attendance) be materialised in a higher level of attending activities and a lower rate of school abandonment; is online education efficient and to the liking of generation Z; could they, as digital natives, imagine to move online for their studies? Starting from certain hypotheses covering the aforementioned aspects we applied two research methods: a quantitative one (statistical inventory based on the data offered by the education platform of the institution, distance.iduoradea.ro, used in the time span March-September 2020, and e.uoradea.ro used as from October 2020, survey among the students) and a qualitative one (interview with the students). For a larger view upon things regarding students’ attitude towards and reception of online education and its future perspectives, we conducted an extended research including two more Romanian academic institutions (Babeș-Bólyai University, Cluj and the Academy for Economic Studies, Bucharest) – however with very modest results – and two Hungarian ones (University of Debrecen, University of Nyíregyháza) respectively. This comparative approach – failing to include also a Slovenian institution (University of Maribor), as initially intended – could lead to interesting results covering a broader range.
THE IMPACT OF THE EUROPEAN COUNCIL DIRECTIVE 86/653/EEC ON THE ROMANIAN LEGISLATION REGARDING THE TERMINATION OF THE AGENCY CONTRACT, AS A MANDATE IN COMMON INTEREST
Authors:   Political Economy Department, Faculty of Economical Sciences and Business Administration, Babeș-Bolyai University, Cluj-Napoca, România, TULAI Dana-Lucia
Published: March 2024

This article aims to highlight a contract that has proven its great importance in commerce, namely the agency, as a legal mechanism that provides an extremely flexible juridical framework for many professional activities. In 1986, the agency contract received its own rules at a European Community level, by the adoption of the European Council Directive no. 86/653, regarding the harmonization of the Member States legislations concerning the independent commercial agents. This directive was intended to eliminate the existing regulatory differences in the laws of the Member States relating to commercial representation, which affected competition and the smooth running of trade relations within the Community. Legal doctrine and jurisprudence have revealed the complexity of this type of conventional relations, especially in the case of unilateral termination of contract, since agency is generally considered a type of mandate in common interest and the revocability of such an agreement is questionable, given the mutual and common interest of the contracting parties in the execution of the contract. In this context of uncertainty, the European Council Directive no. 86/653 brought important clarifications, which were later taken over in the national legislation, namely the Law no. 509/2002 and later the Civil Code, regarding the right to unilateral revocation, the limits of its exercise, as well as the indemnity for contractual termination.
TRACKING SALES, INSTALLATION, AND AFTER-SALES SERVICE ACTIVITIES THROUGH PROJECTS
Authors:   Management Marketing Department, Faculty of Economics University of Oradea, Oradea, Romania, DEMIAN Horia
Published: March 2024

Companies that sell, install and service equipment need a plan for the activities they undertake. Since these activities are carried out in a certain order and are undertaken by different people, it is necessary to improve the information flows within the company and achieve the most effective management of the relationship with the client. This paper is a case study on the need to use planning in activity of a company that sells products that need to be assembled and installed at clients also needs to carry out their maintenance during the warranty and post-warranty period.
THE MANAGEMENT AND IMPLEMENTATION OF AI IN THE SCHOOL CURRICULUM IN ISRAEL
Authors:   Doctoral School of Economics and Business Administration, Timisoara West University, Timisoara, Romania, HADDAD Loureen , ASHQAR Rawia ,   Doctoral School of Economics and Business Administration, Timisoara West University, Timisoara, Romania
Published: March 2024

This article reviews how Artificial Intelligence (AI) tools are implemented and reshaping the education system in Israel. In many ways Education and AI are intertwined. Education is used as a means to develop minds capable of expanding and leveraging the pool of knowledge, while AI provides tools to develop a more accurate and detailed picture of how the human brain works. By leveraging the best features of machines and teachers, the vision for AI in education is one where AI and teachers work together to achieve the best outcome for students. Since today’s students will have to work in a future where AI is a reality, it is important that our educational institutions expose students to the technology and train them how to use it. The idea behind managing and implementing AI is to strengthen student-centred and self-regulated learning and promote the development of students’ information management and problem-solving skills. The study investigates how teachers, school ICT coordinators, principals, and parents deal with the implantation of AI in education, how they use innovative technological tools, and how do they cope with the challenges facing students. In order to be able to integrate AI elements, teachers from the school receive a training course in a coordinated manner. In addition, implementing AI requires schools to assign instructors, who as teachers, hold weekly meetings on digital skills, and each school has a school ICT coordinator and leading teachers on the subject. The role of the principal in this project is to coordinate between the schools and Ministry of Education that supervises how schools implement the project.
TRANSFORMATIONAL LEADERSHIP, A SUCCESSFUL MODEL FOR ORGANIZATIONS IN LEADERSHIP STYLES
Authors:   Doctoral School of Economics and Business Administration, Timisoara West University, Timisoara, Romania, WAKED NAJAR Boushra
Published: March 2024

The issue of leadership as a phenomenon began in the 19th century and we even witness an earlier theory from 1885-1795 that was developed by the historian Thomas Carlyle, he called it the “Great Man” theory. This theory represents the leader as a different person from the rest of mortals, because this theory saw the leader as a messenger bearing the good news. And that he has the capacity and ability in his personality to shape the masses and turn them into society (the full range model of leadership. Leaders who have the capacity for leadership and action are the ones who will succeed in reaching the potential of the organization or society. From this theory arose another called the “trait approach” because it described the leader as a person with exceptional qualities. Later in the 1940s, the theory called “the situational approach” was developed. This theory focused on the behavior of the leader and not on his qualities, but this approach had drawbacks, like, if the leader is not able to shape himself then how can he motivate his people in his organization. That is why the search began for a strong model in leadership, which does not follow or according to the situation. Look for a theory that will have a character that will present its goals clearly, a theory that on the one hand can lead and promote the customs to the goals of the organization and on the other hand it shapes the situation. This model is expressed in the name “ Transformational leadership” according to Burns 1978. Although there are many definitions of leadership, the principles of leadership in organizations are focused on the execution and promotion of processes whose principle and purpose are to lead in the design and determination of policy and its implementation. These processes include planning, defining procedures, building a vision and making decisions. This chain of events is also used by the road leader in motivating and leading his followers and encouraging them, because he instills in them the belief in their high ability. The leader always makes sure to act together in order to achieve a common goal (Bass 1990, Stogdill 1950, Bryman 1996, House 1971) and to solve problems together and not to rely on the skills of individuals, therefore the focus of leadership is on empowerment and not on control.
Telemedicine Screening for Diabetic Retinopathy Using Digital Technology: Foreign Experience
Authors: Andreev Dimitry A. , Kamynina Natalya N.
Published: March 2024

Background. Timely detection and treatment of diabetic retinopathy (DR) could prevent the development of blindness. However, large number of patients are diagnosed at late stages when effective treatment becomes impossible. In this context, active screening for DR plays an important role. Various screening programs have been developed, including programs using digital technologies.Objective. To analyze and summarize the literature data on digitalization of DR screening.Materials and methods. The study was carried out based on the results of a search in the PubMed / Medline bibliographic database and the Google system. The used keywords were “diabetes”, “retinopathy”, “telemedi-cine”, “digital technologies”, “artificial intelligence” and others. Relevant publications were selected by exam-ining the titles and abstracts of articles.Results. The study addressed the approaches to organizing the telemedicine programs of DR screening. The examples of innovative digital technologies for performing diagnostic studies as well as the characteristics of various electronic systems and devices are presented. It was noted that the DR screening could be performed in a local center with data transfer to a regional specialized diagnostic (analytical) center where telemedicine analysis is done. All diagnostic information is available to the diabetologist who prescribes and adjusts ther-apy. This operating principle facilitates the interaction between various specialists and thus increases the efficiency of screening.Discussion. Although the telemedicine screening for diabetic retinopathy has already been introduced in a number of countries, it is still at its early stages of development. Many modern technologies such as portable mobile devices could be adapted and used in the implementation of telemedicine programs. Deep machine learning algorithms and other artificial intelligence-based approaches demonstrate excellent results. Some systems have already received regulatory approval. Conclusions. The early diagnostics of diabetic retinopathy could be improved by integrating innovative screening technologies in a unified digital platform implemented in routine clinical practice.
Mathematical Modeling Of The Active Life Expectancy Among The Famous Soviet Mathematicians
Authors: Gerasimenko Petr V. V.
Published: March 2024

The author carried out the mathematical modeling of the longevity index among the famous mathematicians who had most of active life years during the existence of the Soviet Union. Based on a sample of statistical data, the probability distribution and density functions for the longevity of mathematicians who were born or worked in the Soviet Union were created. Modeling was done using polynomial functions through the Excel regression analysis tool. A comparative analysis of the probability distribution functions for the longevity of famous Soviet mathematicians and mathematicians who lived in different countries in the 20th century was performed.
E-Health Training of Medical Specialists in Russia
Authors: Morozov Sergey Yu.
Published: March 2024

Purpose. The article discusses the improvement of e-Health training of medical specialists in Russia, and the challenges that doctors face when working with different health information systems.
Methodology. The study used both qualitative and quantitative data of the online survey conducted during the primary case study. Online survey targeted students of the Department of Medical Informatics and Cybernetics of N.I. Pirogov Russian National Research Medical University and doctors who were receiving initial training under the e-Health advanced training program. The survey aimed to determine systemic challenges and demand for training in various medical information systems.
Findings. Research data suggest that in order to bridge the digital gap, educational and training programs should include training versions of medical information systems used in Russian practical healthcare (electronic document flow system, EMIAS, Statistica, Sotsstrakh, Retsipient, etc.). It will enable doctors to enhance their theoretical and practical skills, abilities and knowledge, thus improving the quality of educational and work processes. Practicing health specialists who not only possess the theoretical knowledge, but also actively work in these areas (temporary disability examination, evaluation of medical care quality, work with citizens' appeals, compilation of numerous statistical reports, etc.) should be involved as mentors in the educational process. Simultaneous connection under the same login and password from multiple devices should be restricted to protect personal data and increase the security level of electronic document management systems in Russia.
Medical and Social Characteristics of Living Conditions, Lifestyle, and Motivation to Become a Doctor among Students and Residents of Medical University
Authors: Derbenev Dimitry P. , Sergeeva Elena N.
Published: March 2024

Background. The Russian national project “Healthcare” is aimed at providing the healthcare system with qualified doctors. Higher education institutions have a leading role in accomplishing such crucial state mission. The training of future doctors by medical universities is complicated by numerous medical and social issues associated with objective living conditions and subjective lifestyle as well as with a low motivation to become a doctor among students and residents.
Purpose. To conduct a medical and social analysis of living conditions, lifestyle, and motivation to become a doctor among students and residents of medical university.
Materials and methods. The research was based on the data of a medical and sociological analysis carried out from 2020 to 2023. The authors used sociological, psychological, and statistical techniques that are relevant to the study purpose and enable to assess living conditions, lifestyle, and motivation to become a doctor.
The study subject was a representative sample (p<0.05) of 1007 students and residents at a medical university.
Results. The living conditions of students and residents are considered as ambiguous, but generally favorable for achieving specialized learning and career-related outcomes at medical university. The lifestyle of students and residents is characterized by unhealthy tendencies (lack of physical activity, presence of some forms of self-destructive behavior, etc.), which in addition complicate the professional training. The motivation to become a doctor is affected more by the families of students and residents and less by the objective living conditions and subjective perceptions of lifestyle. The motivation has a positive modality, pronounced intensity, and pragmatic orientation.
Conclusions. The professionalism of future doctors is usually developed depending on their motivation and in the context of their current living conditions at medical university. The shaping processes could be optimized by using suitable approaches to educational work and social support for students and residents.
The Application of AI and Computer Science in the Context of International Law and Governance “Opportunities and Challenges”
Authors: Ness Stephanie , Singh Navdeep , Volkivskyi Mykola , Phia Wong Jest
Published: March 2024

Purpose: The purpose of "Governing Artificial Intelligence: Ethical, Legal, and Technical Opportunities and Challenges" is to examine the impact of artificial intelligence (AI) on various societal aspects and to underscore its potential benefits for human rights, social welfare, and economic growth. The essay emphasizes the necessity of regulating AI systems in a fair, transparent, and responsible manner, especially in high-risk sectors.

Materials and Methods: Research Design: The essay employs a literature review and analysis approach to explore the ethical, legal, and technical challenges associated with governing AI.

Method of Data Collection: Data collection primarily involves gathering information from existing literature, reports, and expert opinions. Analysis and Presentation: The data is analyzed qualitatively to provide insights into the complexities of AI governance. The findings are presented systematically to address different dimensions of the topic.

Findings: The essay presents a comprehensive analysis of the ethical, legal-regulatory, and technological challenges in governing AI. It highlights the need for robust governance frameworks to ensure the responsible development and deployment of AI systems.

Implication to Theory, Practice, and Policy: The study is informed by various theories on ethics, governance, and technology. Validation of these theories is achieved through a critical examination of existing literature and empirical evidence. Practitioners are recommended to adopt principles of fairness, transparency, and accountability in the development and deployment of AI systems. Additionally, continuous monitoring and evaluation mechanisms should be established to ensure compliance with ethical standards. Policymakers are encouraged to enact regulations that promote the ethical and responsible use of AI technologies. This includes establishing clear guidelines for AI development, deployment, and accountability mechanisms to address potential risks and ensure societal well-being.
IN VITRO CYTOPHYSIOLOGICAL ASPECTS INDUCED BY FOOD ADDITIVES FROM THE CATEGORY OF PRESERVATIVES ON SOME MAMMALIAN CELL MODELS
Authors: Gherghel Daniela , Mihai Cosmin-Teodor , Vochita Gabriela , Rosu Craita Maria
Published: March 2024

This research is focused on cellular response to sodium metabisulphite (E223), sodium benzoate (E211), and sodium nitrite (E250) application on two normal mammalian cells, namely MCF-12A (ATCC CRL-3598) and Vero (ATCC CCL-81). The monitored parameters were cell viability (MTT assay), cell morphology (optical microscopy) and cell survival (clonogenic assay). The treatment was applied in doses of 12.5; 25; 50 and 100 µg/mL. According to all tests assessed, our results proved a dose-response relationship, the most sensibility presented the MCF-12A cell line.
Implementation of International Labour Organization (ILO) Policy on Health, Safety and Welfare of Workers in Central Senatorial District, Delta State
Authors: EBIETOMIRE Rukevwe , Nwachukwu A. E
Published: March 2024

The International Labour Organisation (ILO) enforces health, safety, and welfare policies to ensure workers’ safety in the workplace, by preventing work-related injuries, diseases, incidents and deaths. This study investigated the implementation of the international labour organization policy on health, safety and welfare of workers in Central Senatorial District, of Delta State, as perceived by management staff and non-management staff. The survey research method was used. The Taro-Yamane sample size was used to select 201 management staff and 330 non-management staff from the ten selected oil and gas companies in Central Senatorial District, Delta State. The instrument used for data collection was a self-developed and validated questionnaire with reliability level of 0.97. Of the 531 copies of questionnaire administered to the respondents, 512 were correctly completed and used for analysis. Data obtained were analyzed using descriptive statistics (frequency counts, percentages, mean, standard deviation, Pearson correlation); post-estimation statistics (variance inflation factor) and inferential statistics (simple regression). ). The simple regression results indicated that while ILO policies and preventive measures are not significantly available in the oil and gas industries, the channels for recording and notification of occupational hazards in line with ILO policies, and inspection practices significantly ensure workers’ safety in the oil and gas industry. In line with the findings, it was suggested among others that management of oil and gas firms need to intensify efforts at ensuring that ILO policies and preventive measures are made available so as to adequately curb occupational health hazards and enhance workers’ safety.
FOTOTERAPIA REABILITATIVA: CONDUTA OPTOMÉTRICA
Authors: Medeiros da Costa Leandro , Trentin Sonoda Rodrigo
Published: March 2024

A fototerapia pode proporcionar um grande salto na qualidade do serviço de saúde, essa medicina holística concede excelentes resultados. Através da terapia com cores, terapia fototerápica, onde são usados filtros especiais e também os comprimentos de onda e frequências, pode tratar diversos problemas de saúde, reabilitando um sistema desiquilibrado. O método fototerápico, consiste em incidir radiação de luz nos olhos, usar um aparelho Syntonize, que possui uma luz incandescente de 15 a 40 watts. A luz com auxílio de filtros permite o bloqueio da radiação precisa para o paciente em tratamento. Os filtros terão variedades conforme cada problema a ser tratado. Há disponibilidade de treze opções e podem ser usados até duas ou três pigmentações filtrantes por sessão. Através de revisão bibliográfica demonstra-se a aplicabilidade clínica da fototerapia.
VIOLÊNCIA SEXUAL CONTRA CRIANÇAS E ADOLESCENTES NA PERCEPÇÃO DOS PROFISSIONAS DE SAÚDE
Authors: Lopes Fabíula , Schek Gabriele , Pereira Albuquerque Flávia Michelle , Dal Pai Sandra , Einloft Kleinubing Raquel , Roberto Mix Paulo , Freitas Rodrigues Edenilson
Published: March 2024

A violência contra crianças e adolescentes se constitui em um grave problema de saúde pública, devido às consequências físicas e psicológicas deixadas nas vítimas. Diante disso, os profissionais de saúde desempenham um importante papel no reconhecimento e no atendimento destas situações. Objetivos:1) Identificar a percepção dos profissionais de saúde acerca da violência sexual contra crianças e adolescentes; 2) Identificar as ações desenvolvidas por profissionais de saúde no atendimento às crianças e adolescentes vítimas de violência sexual. Metodologia: estudo qualitativo, exploratório descritivo realizado com cinco profissionais de saúde. Os dados foram coletados entre agosto e setembro de 2022 e foram analisados por meio da análise temática. Resultados: os profissionais entrevistados relatam angústia e despreparo frente ao atendimento das situações de violência sexual em crianças e adolescentes. Dentre as ações mais adotadas no atendimento às vítimas está o encaminhamento para atendimento psicológico. As atividades de educação em saúde desenvolvidas nas escolas são elencadas como importantes pelos profissionais entrevistados, todavia, eles relatam dificuldades em realizar estas atividades no contexto escolar.
Unveiling the Impact of Demographic Factors on Disease Survival: A Multifaceted Examination across Diverse Medical Conditions
Authors: Cherukuri Lakshmi Sahitya , Rajput Rohan Singh , Neema Shantanu
Published: March 2024

Purpose: In this research, we studied the intricate interplay between demographic indicators and survival rates across various diseases, aiming to address the gap in comprehensive analyses across multiple conditions.

Methodology: Drawing from a dataset encompassing 9105 critically ill patients from five medical centers in the United States [1], admitted between1989-1991 and 1992-1994, our analysis spans eight disease categories. Leveraging techniques such as Cox-proportional hazard models and machine learning algorithms, we explore the influence of socio-economic status, gender, race, and education on survival outcomes.

Findings: Our findings underscore significant demographic disparities in disease survivability, with ethnicity, gender, and education level showing varying impacts across different medical conditions. Notably, Asians exhibit lower hazards for certain diseases but higher hazards for others, while females demonstrate better survival probabilities compared to males. Moreover, individuals with higher education levels tend to have slightly increased hazards for certain conditions.

Unique Contribution to Theory, Practice, and Policy: The call for comparative analyses across multiple diseases using comprehensive datasets marks a pivotal shift in research strategy. It aims to highlight the interplays and shared risk factors across diseases, contributing significantly to the advancement of theoretical frameworks, the refinement of healthcare practices, and the shaping of informed public health policies. This approach seeks to bridge a critical gap in the literature, offering a foundation for interventions designed to enhance disease management and improve population health outcomes comprehensively.
Workforce Diversity in an Organization – A Quantitative ABCD Analysis
Authors: Krithi  , Pai Ramesh
Published: March 2024

Purpose: This study aims to get additional knowledge about the ABCD framework's application to workforce diversity analysis in organizations. determining elements, important attributes, and advantages, disadvantages, constraints, and benefits from the viewpoint of stakeholders, as well as identifying and evaluating the main influencing factor in terms of workforce diversity in an organization.
Design: From 2016 to 2023, the study thoroughly analyzed all published papers relevant to the ABCD analytical framework. The study used quantitative analysis and focus group interaction to determine the critical influencing factors and crucial constituent parts for workforce diversity in an organization by allocating appropriate weightage to key traits.
Findings: This study suggests that the ABCD framework is suitable for use in the analysis and evaluation of a business model, concept, product, strategy, or system. Academics working in a variety of fields frequently employ this technique to evaluate research articles. According to a quantitative ABCD analysis of staff diversity in a firm, advantage factors have a significant impact on the success of the organization. The ABCD analysis supports the concept/ideas of workforce diversity's efficacy in an organization.
Originality: According to the ABCD analytical framework for workforce diversity in an organization, the study provides ideas on determinant issues, key traits, main impacting factors, and critical constituent parts.
Type of Paper: Empirical Research
E-Commerce Website Sales Prediction using Machine Learning Algorithm
Authors: Mr. Ankush Y. Jondhale  , Mr. Mohid T. Khan  , Mr. Avinash B. Wagh  , Mr. Samarth  , Prof. A. S. Kolhe
Published: March 2024

The business model used in the e-commerce web site, for which the model is implemented, includes many sellers that sell the same product at the same time at different prices where the company operates a market place model. The demand prediction for such a model should consider the price of the same product sold by competing sellers along the features of these sellers. In this study we first applied different regression algorithms for specific set of products of one department of a company that is one of the most popular online e-commerce companies .Supply and demand are two fundamental concepts of sellers and customers. Predicting demand accurately is critical for organizations in order to be able to make plans. In this paper, we propose a new approach for demand prediction on an e-commerce web site. The proposed model differs from earlier models in several ways
Enhancing Customer Analytics: A Comprehensive Framework for Effective Churn Prediction
Authors: Ms. Anitha R  , Mr. Adithyan P S  , Ms. Akshaya V A  , Mr. Bhuvanesh A
Published: March 2024

This paper presents a comprehensive framework designed to forecast churn rates within organizations and provide visual representations for proactive and reactive analyses. Churning is the process of customer discontinuation from a product or service due to dissatisfaction or shifting needs of customers. Since keeping current clients comes with a considerably cheaper cost, acquiring new ones is no longer a smart business plan. By leveraging historical customer data encompassing demographic, behavioral, and transactional attributes, predictive models are developed and evaluated. Given that we already have all of the current customer's data, retention is far more affordable and successful. This paper aims at improving the accuracy and gives a churn prediction model which is suitable for all organizations. There are Five main components in this framework: Data preprocessing, pattern recognition, exploratory data analysis(EDA), Gradient Boost algorithm (ML algorithm to identify whether the customer is satisfied with the service or not) and Churn prediction. The churn prediction will give the results as reactive and proactive analysis. We have used the Gradient Boost algorithm ( ensemble learning technique) along with SMOTE-ENN in this paper which gives us an accuracy of 95%.This gradient boost algorithm gives the best accuracy when compared with other machine learning algorithms like, Logistic Regression, Random Forest Classifier and Decision Tree Classifier. Visualization of churned data and risk analysis is facilitated through Power BI.
An Overview on Prescription Error
Authors: Mrs. Aishwarya Santosh Kaware  , Mr. Prajwal Vijay Dudhe  , Mr. Naresh Rajendra Chavhan  , Dr. Kuldeep Pradhan  , Dr. Neha N Rajpurohit  , Dr. K. Raja. Rajeshwari
Published: March 2024

An overview of prescription errors among patients is studied. A prescription error is defined as a therapeutic process failure that results in or may result in patient damage. Errors with prescriptions states that at least 1.5 million people are harmed annually by one of the most prevalent medical blunders. While there are many benefits of using medicines, as well as there are also risks, which might occur due to prescription errors. One of the most frequent ways that patients suffer is from improper prescription management, which is often the result of prescribing errors. The methods to lower prescription errors are examined in this evidence scan. Finding the cause of prescription errors and raising public awareness are its two main goals to reduce errors. Make errors or inconsistencies in the selection and administration of medications, such as incorrect dosages, wrong route of administration, and unnoticed drug interaction.
Prescription errors are more likely to occur in older adults. Errors in prescription drugs raise health care expenses and reduces patient trust in the medical system. Managers and health experts are constantly searching for methods to raise the standard and guarantee the security of healthcare. This document discusses medication errors, which are instances of drug mis adventuring that should be avoided by implementing efficient system controls. These controls should involve pharmacists, doctors, nurses, risk management staff, attorneys, administrators, patients, and other members of the organizational setting in addition to regulatory bodies and the pharmaceutical industry
AI Powered Echocardiography
Authors: Hopkins Joshua , B. Omunguye-George Datonye
Published: March 2024

The purpose of this paper is to discuss the current technological developments in diagnostic cardiovascular care. Echocardiography, a widely known imaging tool, extracts insights about a patients’ cardiac anatomy and perform necessary treatments or procedures based on their diagnoses. AI models respond to vast amounts of raw cardiac data and use Deep Learning algorithms to identify images with remarkable speed and accuracy. AI applications in computer vision offer key benefits in the healthcare industry. Companies such as Siemens are the key players – the commercialization of new AI technology has enabled healthcare organizations to streamline workflows, reduce errors, and lower costs.Potentially, there will be no reproducibility issues thereby redirecting clinical efforts towards patient treatment planning and research to prevent uptrends of heart disease.
AI Scribes: Boosting Physician Efficiency in Clinical Documentation
Authors: Itauma Omosalewa , Itauma Itauma
Published: March 2024

The increasing demand on healthcare systems has amplified the burden on physicians and other healthcare professionals, with a huge portion of time dedicated to documenting patient encounters. Prolonged charting periods not only contribute to decreased physician productivity but also emerge as a prominent factor in physician burnout. This study investigates the potential of Artificial Intelligence (AI) to mitigate this challenge, focusing on AI-powered medical scribing as a solution to alleviate the burden of traditional charting methods in documentation of patient encounters and improve overall physician productivity. This research contributes to the ongoing discourse on the role of AI in healthcare and seeks to inform healthcare professionals, administrators, and policymakers about the potential benefits of integrating AI-powered medical scribing to improve physician efficiency and mitigate the impact of extensive charting on overall productivity and well-being.
Improving the Capabilities of Large Language Model based Marketing Analytics Copilots with Semantic Search and Fine-Tuning
Authors: Gao Yilin , Arava Sai Kumar , Li Yancheng , Jr James WSnyder
Published: March 2024

Artificial intelligence (AI) is widely deployed to solve problems related to marketing attribution and budget optimization. However, AI models can be quite complex, and it can be difficult to understand model workings and insights without extensive implementation teams. In principle, recently developed large language models (LLMs), like GPT-4, can be deployed to provide marketing insights, reducing the time and effort required to make critical decisions. In practice, there are substantial challenges that need to be overcome to reliably usesuch models. We focus on domain-specific question-answering, SQL generation needed for data retrieval, and tabular analysis and show how a combination of semantic search, prompt engineering, and fine-tuning can be applied to dramatically improve the ability of LLMs to execute these tasks accurately. We compare both proprietary models, like GPT-4, and open-source models, like Llama-2-70b, as well as various embedding methods. These models are tested on sample use cases specific to marketing mix modeling and attribution.
The Blueprint for A Greener Future: Sustainable Architecture’s Crucial Role in Combating Climate Change
Authors: Barnaby Jude , Idoko Ikenna , Ugochi Aniakor , Okafor Callistus , Emmanuel Kikame
Published: March 2024

In an era defined by the urgent need to combat climate change, sustainable architecture has emerged as a beacon of hope and innovation. This article explores the pivotal role of sustainable architecture in the global effort to address the climate crisis. It delves into how sustainable architectural principles, designs, and practices are shaping a blueprint for a greener future. As the world grapples with the consequences of a changing climate, sustainable architecture offers pragmatic solutions that extend far beyond aesthetics. It encompasses a holistic approach that integrates environmental stewardship, energy efficiency, and resilience into the built environment. Through case studies and examples from around the world, this article highlights the transformative power of sustainable architecture. It showcases how green building practices, renewable energy integration, and innovative design principles are not only reducing carbon footprints but also enhancing the quality of life for communities. As we navigate the challenges of the 21st century, it becomes increasingly evident that sustainable architecture is not a mere trend but a crucial instrument for combating climate change. This article underscores the role of sustainable architecture as a catalyst for a greener and more sustainable future, where the built environment becomes an ally in the fight against climate change.
Assessing the Performance of Off-Grid Solar Photovoltaic Power Plants in Supporting Aquaponics Systems
Authors: Febriani Siti Diah Ayu , Alqarana Abdurrasyid Masyhuri , Wibowo Michael Joko , Fahriannur Ahmad
Published: March 2024

In an aquaponics system, the electricity produced by photovoltaic solar power (PLTS) is stored in batteries and used to power the water pumps. Using natural microorganisms to transform fish waste into plant nutrients, aquaponics is a cultivation method that blends fish and plant cultivation. The aquaponics system helps reduce the amount of trash released into the environment and is beneficial to the environment. The main goal of this study is to evaluate an off-grid PLTS system's functionality as a DC water pump power source in an aquaponics setting. This study's goal is to evaluate how well the PLTS operates when powering the DC water pump that circulates water in the aquaponics system.According to performance tests, the off-grid PLTS generates an average energy of 503.8 Wh, which is enough to power the DC pump for 20 hours a day of water circulation. The water pump uses only 382.6 Wh of electricity each day. With an average solar panel efficiency of 4.97%, an average solar charge controller (SCC) efficiency of 60.51%, and an average pump efficiency of 79.91%, the Off-grid PLTS demonstrates efficiency. With a daily solar irradiation of 7.8 kWh/m2, the average energy loss in the solar panel is 5.29 kWh/kWp, whereas the average energy loss in the system is 0.10 kWh/kWp. All things considered, these results provide insight into how well the Off-grid PLTS functions as a power source for the DC water pump in an aquaponics system.
PROMOTING DIGITAL LITERACY AND SOCIAL EQUITY IN EDUCATION: LESSONS FROM SUCCESSFUL INITIATIVES
Authors: Chima Abimbola Eden  , Onyebuchi Nneamaka Chisom  , Idowu Sulaimon Adeniyi
Published: March 2024

Promoting digital literacy and social equity in education is a critical endeavor in our increasingly digital world. This review explores lessons gleaned from successful initiatives aimed at achieving this goal.  Digital literacy encompasses the ability to effectively navigate, evaluate, and create digital content. It is a fundamental skill set for participation in modern society and the workforce. However, access to digital resources and education is unevenly distributed, exacerbating existing social inequalities. Successful initiatives in promoting digital literacy and social equity in education have demonstrated several key principles. Firstly, they prioritize equitable access to technology and internet connectivity, ensuring that all students have the necessary tools to engage in digital learning. Additionally, these initiatives recognize the importance of culturally relevant and inclusive curriculum that reflects the diverse backgrounds and experiences of students. By incorporating content that resonates with students' lives, they foster greater engagement and participation in digital learning activities. Furthermore, successful initiatives emphasize the development of critical thinking and digital citizenship skills. Students are taught how to responsibly navigate online spaces, critically evaluate information, and engage in respectful online discourse. These skills are essential for students to become informed and ethical participants in the digital world. Collaboration between educators, policymakers, and community stakeholders is another hallmark of successful initiatives. By working together, these stakeholders can leverage resources and expertise to create comprehensive strategies for promoting digital literacy and social equity in education. Successful initiatives in promoting digital literacy and social equity in education prioritize equitable access, culturally relevant curriculum, development of critical skills, and collaboration among stakeholders. By learning from these initiatives, educators and policymakers can work towards creating a more inclusive and equitable educational system in the digital age.

Keywords:  Education, Literacy, Digital, Social Equity, Initiatives, Review.
LEVERAGING ARTIFICIAL INTELLIGENCE FOR ENHANCED SUPPLY CHAIN OPTIMIZATION: A COMPREHENSIVE REVIEW OF CURRENT PRACTICES AND FUTURE POTENTIALS
Authors: Olorunyomi Stephen Joel  , Adedoyin Tolulope Oyewole  , Olusegun Gbenga Odunaiya  , Oluwatobi Timothy Soyombo
Published: March 2024

The integration of artificial intelligence (AI) technologies into supply chain management has emerged as a crucial avenue for enhancing efficiency, agility, and responsiveness in modern business operations. This comprehensive review synthesizes current practices and future potentials of leveraging AI for supply chain optimization. Beginning with an overview of traditional supply chain management challenges, the review elucidates how AI solutions address these complexities by enabling predictive analytics, real-time visibility, and intelligent decision-making. The review delves into the diverse applications of AI across different stages of the supply chain, including demand forecasting, inventory management, logistics optimization, and supplier relationship management. Examples of AI-driven technologies such as machine learning, natural language processing, and robotic process automation are analyzed for their role in revolutionizing supply chain operations. Furthermore, the review highlights the transformative impact of AI on supply chain resilience, emphasizing its ability to mitigate disruptions, adapt to dynamic market conditions, and optimize resource allocation. The review also addresses critical considerations such as data privacy, ethical implications, and organizational readiness for AI adoption within supply chain contexts.  Lastly, the review discusses future research directions and potential advancements in AI-enabled supply chain management, envisioning intelligent autonomous supply chains characterized by self-learning systems, collaborative ecosystems, and enhanced sustainability practices. In conclusion, this review underscores the pivotal role of AI in driving continuous innovation and competitive advantage within supply chain networks, while also emphasizing the importance of strategic planning and responsible implementation to harness its full potential.

Keywords:   AI, Supply Chain, Optimization, Practices, Review.