bluuebunny/crossref_metadata_2025 huggingface dataset:
La seguridad de la red wlan y su evolución en el siglo XXI
Authors: Cañizales Perdomo Belkis Chiquinquirá
Published: August 2024

Este estudio da a conocer el aporte de la red WLAN al mundo de la informática, esta es una herramienta práctica y sencilla que permite el manejo de grandes cantidades de datos, al interconectar diferentes equipos tecnológicos, en la actualidad esta red es utilizada en empresas que optan por un sistema digital. El objetivo fundamental de esta investigación es brindar información levante sobre la seguridad en la red WLAN, añadiendo importancia de la protección de las misma. Varias investigaciones demuestran que un gran uso de esta red en dispositivos logrando una excelente conexión. Se aplico una metodología con métodos del nivel empírico y teórico contribuyendo al desarrollo del estudio. Los resultados demostraron la importancia de la red antes mencionada para el desarrollo en las empresas, aunque aún existe desconocimiento sobre los beneficios que esta aporta.
Cross-Ledger General Ledger Allocations in Oracle Cloud ERP System
Authors:   Senior Consultant, Deloitte Consulting LLP, USA, Prasad Thejas
Published: August 2024

In today's globalized business environment, efficient financial management and transparent accounting practices are crucial for organizational success.
Developing User-Friendly Artificial Intelligence Technical Tools
Authors:   Software Development Engineer, USA, Jakkula Alok Reddy
Published: August 2024

As Artificial Intelligence (AI) continues to permeate various industries and domains, the need for user-friendly AI technical tools has become increasingly crucial.
Diagnostic Opportunities of X-Ray and Ultrasound Methods for the Assessment of Fallopian Tube Patency
Authors:   Department of Radiology, TSMU First University Clinic, Georgia, Ezieshvili L
Published: August 2024

Infertility globally effects millions of couples. Nowadays worldwide there are 86.000 couples infertile (WHO) and leading reason is secondary tuba abnormality, majorly induced by infection, stress, environmental pollution, unhealthy nutrition, smoking, drug addiction etc. Artificial abortion occurs to be the leading reason of pelvic inflammatory disease. If the first abortion is a risk factor of infertility on 16 % of the cases every other one increases this risk almost up to 100 %.
Redesign of Wind Turbines
Authors:   Associate Professor, Department of Mechanical Engineering, National Institute of Technology, India, SS Arulappan
Published: August 2024

On shore and off shore wind turbines have become conventional machines for electricity production. Wind is perineal source of kinetic energy in the form of moving air. As long as Earth is receiving solar heat, wind energy which is a derived form of moving atmospheric air will be available.
Machine Learning in Managing Healthcare Workforce Shortage: Analyzing how Machine Learning can Optimize Workforce Allocation in Response to Fluctuating Healthcare Demands
Authors:   USA, Yadav Vivek
Published: August 2024

This study examines the application of machine learning models in managing healthcare workforce allocation to meet fluctuating demands. Four models—Logistic Regression, Decision Tree, Random Forest, and Support Vector Machine—are evaluated for their accuracy and reliability. The Random Forest model achieves the highest accuracy of 0.98, followed by Decision Tree, Logistic Regression, and Support Vector Machine. The results highlight the models' potential in enhancing operational efficiency and addressing staffing challenges. By utilizing historical and real-time data, these models can predict staffing needs, optimize resource allocation, and improve patient care outcomes. The study emphasizes the importance of adopting machine learning techniques in healthcare workforce management to achieve a more responsive and efficient system.
Integrating AI and Machine Learning in QE Processes for Health Tech Apps
Authors:   USA, Kulkarni Neha
Published: August 2024

The usage of AI and ML in QE can be seen as an important innovation in the creation of health tech software and applications. This paper aims at establishing the role of AI and ML in QE in the health tech context, the possibilities offered by the tools, and certain issues. Given that a health tech app may contain very important information and may comprise complex functions, their accuracy, integrity and effectiveness must be protected. The standard QE solutions are frequently sluggish in responding to fast technological advancements and changes in demands. AI Integrated Testing and Machine Learning present new opportunities to handle these problems by enhancing automation testing, predicting possible failures, and optimizing the output. A discussion of the AI and ML approaches used in this QE process for health tech applications is also provided in this study and involves test generation, anomaly detection, and others. By looking into the prior studies, the existing case studies and best practices, the paper highlights the domains that AI and ML enhance the testing processes in terms of efficiency, accuracy, and scalability. Emphasizing the aspects of successful innovative experiences, the study offers information about actual possibilities and prerequisites of different technologies’ application, as well as their restrictions. Therefore, from these findings, it can be suggested that both AI and ML have the potential to transform QE processes by cutting on the amount of manual labor required in the process, reducing the time spent on the test cycles, and providing a wider perspective on the application’s performance. Though, some of the issues including data quality, model interpretability and integration challenges may hinder the true implementation of the concept. This is how the paper concludes suggestions for health tech organizations to enhance the use of AI and ML for QE, along with the discussion of implementation tips and possible future research areas. Although still exploring a part of this vast topic, this research feeds the repository of knowledge regarding AI and ML in QE to improve the health tech applications and serves as a reference for practitioners, and researchers to attain better QE of health applications.
Testing Telehealth Features in Mobile Apps: Challenges and Solutions
Authors:   USA, Kulkarni Neha
Published: August 2024

The worldwide COVID-19 pandemic has only intensified the rapid evolution of telehealth, pushing demand for mobile applications through the roof to help deliver remote healthcare services. In this paper, we investigate the delicate issues encountered in telehealth feature testing focusing on functional requirements as well security and usability requirements with their mobile applications. In this review, we cover our feedback and observations by extracting the key points from reviewed literature as well as case studies; these specifically targeted areas encompass issues such seamless video consultations, data security assurance and provision of good User Experience (UX). To solve these issues we recommend good solutions such as automation tests, penetration testing and user experience (UX) test. These results suggest best practices and novel methods to secure telehealth applications so that they meet the standards for offering medical care. With these insights presented, developers, testers and stakeholders are expected to embrace the challenges of telehealth app testing with a sharper knowledge-edge in hand towards improving digital health services through effective testing.
Leveraging Python for Predictive Maintenance in Medical Equipment
Authors:   Application Development Manager, USA, Ganoje Prayag
Published: August 2024

This comprehensive research paper explores the application of Python-based predictive maintenance techniques in the medical equipment industry. By harnessing Python's robust data analysis and machine learning capabilities, healthcare providers and medical device manufacturers can significantly enhance equipment reliability, reduce downtime, and improve patient care. This study examines the implementation of predictive maintenance models, data processing techniques, and integration with Internet of Things (IoT) systems to create a holistic solution for medical equipment maintenance. The paper also addresses cybersecurity considerations and presents case studies demonstrating the effectiveness of Python-based predictive maintenance in real-world healthcare settings.
AI-Enhanced Medical Device Software Testing: Improving Efficiency and Coverage
Authors:   Application Development Manager, USA, Ganoje Prayag
Published: August 2024

Medical device software testing is critical for ensuring patient safety and regulatory compliance. However, traditional testing methods often struggle to keep pace with the increasing complexity of modern medical devices. This research explores the application of artificial intelligence (AI) techniques to enhance medical device software testing, focusing on improving efficiency and coverage. We propose an AI-enhanced testing framework that machine learning, natural language processing, and computer vision to automate and optimize various aspects of the testing process. The framework is implemented using Python. Case studies demonstrate significant improvements in test coverage, defect detection rates, and overall testing efficiency. While challenges remain, particularly around regulatory compliance and explainability, AI-enhanced testing shows great promise for improving the quality and reliability of medical device software.
Avaliação dos efeitos da atividade física na melhoria da qualidade de vida em pacientes com Doença de Alzheimer
Authors: De Queiroz Soares Gabriel , Monteiro Pessoa Paulo Eugênio , Morais Sampaio da Fonseca Walter Luiz
Published: August 2024

A doença de Alzheimer (DA) é a patologia neurodegenerativa mais frequente associada à idade, cujas manifestações cognitivas e neuropsiquiátricas resultam em deficiência progressiva e incapacitação. O objetivo desta pesquisa é analisar os benefícios e a importância que os exercícios físicos de estimulação trazem para os pacientes com DA, tanto na qualidade de vida quanto no tratamento não farmacológico. O trabalho é uma revisão integrativa da literatura, que contou com a participação de várias pesquisas disponibilizadas em artigos, que serviram de base para a elaboração do estudo sobre a avaliação dos efeitos da atividade física na melhoria da qualidade de vida em pacientes com Doença de Alzheimer. O estudo desenvolvido evidenciou que a atividade física representa uma importante abordagem não farmacológica, beneficiando as funções cognitivas e o equilíbrio com diminuição do risco de quedas. Além disso, os exercícios físicos também melhoram a capacidade motora e a estabilização corporal dos indivíduos através da estimulação dos receptores proprioceptivos. No entanto, para que tal análise seja relevante é necessário desenvolver mais estudos que constatem o efeito da prática da atividade física, que investiguem a especificidade dos exercícios, bem como os mecanismos de ação dos mesmos, que é necessária para o tratamento eficaz dos distúrbios neuropsiquiátricos de pacientes com Alzheimer.
uso de Plataformas Digitais como veículo transformador da Educação Médica: um relato de experiência sobre a I Oficina Virtual de Anamnese
Authors: Fonseca Teixeira Caroline , Buzzato Rainer Júlia , Bastos de Almeida Zampier Daniela , Faransis Francis Amanda , De Oliveira Lopes Carina , Moraes Sampaio da Fonseca Walter Luiz
Published: August 2024

Mediante à necessidade de distanciamento social imposta pela pandemia do COVID-19, os métodos de ensino tradicionais foram adequados a nova realidade virtual, ocorrendo prejuízos ao treinamento da anamnese em ambiente ambulatorial e, também, à criação de vínculos efetivos entre profissionais e acadêmicos. Em função da importância da anamnese e da necessidade de inovações para a transformação da educação médica, foi idealizada I Oficina Virtual de Anamnese. Tem-se com objetivo relatar a experiência da equipe organizadora da I Oficina Virtual de Anamnese com o novo modelo de ensino e aprendizagem e evidenciar a metodologia ativa utilizada. A I Oficina Virtual de Anamnese consistiu em dois dias de palestras, ministradas virtualmente através da plataforma Microsoft Teams, as quais abordaram as principais particularidades da anamnese geral e dos sistemas cardiovascular, respiratório, gastrointestinal, nervoso e locomotor. Ao longo dessas palestras, foram disponibilizados questionários, através do aplicativo Telegram, contendo duas perguntas objetivas acerca de cada assunto discutido, totalizando 12 questões. Os discentes tinham um minuto para assinalar a resposta e, após este tempo, o palestrante discutia as respostas corretas e incorretas, sanando as dúvidas dos ouvintes em tempo real. As respostas de cada participante foram registradas em uma tabela, desenvolvida através da plataforma Microsoft Excel, de modo que aquele com maior número de acertos fosse contemplado com um prêmio ao final do último dia do evento. O estímulo à competição saudável entre os discentes, através do jogo de perguntas e da premiação daquele que obtivesse o maior número de acertos, compõe o processo de gamificação do ensino, o qual possibilitou a melhor fixação dos assuntos ministrados ao longo das palestras. Além disso, a participação ativa do palestrante nesta dinâmica contribuiu para o intercâmbio de saberes entre profissionais e acadêmicos, uma prática essencial para o alcance de uma formação médica integral e que, muitas vezes, encontrou-se comprometida em função da necessidade de distanciamento social imposta pela pandemia de COVID-19. Assim, mesmo diante dos tempos de incerteza, a I Oficina Virtual de Anamnese potencializou a interatividade entre os participantes e possibilitou o aprimoramento das competências médicas, mesmo em ambiente virtual. Dessa forma, a realização periódica da I Oficina Virtual de Anamnese é uma forma de aperfeiçoar os métodos de ensino e aprendizagem para o desenvolvimento de habilidades médicas, mesmo mediante às dificuldades impostas pela conjectura atual.
Uma análise comparativa entre o uso de fármacos inibidores da Monoamino oxidase-B e Levodopa na Doença de Parkinson
Authors: Fernandes Portes Eduardo , Miranda de Oliveira Caio , Angelo Pinto de Souza Rafael , Rezende Godinho Carvalho Júlia , Da Silva Tomaz Maria Vit´ória , De Moraes Ribeiro Meirelles Lívia , Costa Diniz Pedro Henrique , M. Sampaio da Fonseca Walter Luiz
Published: August 2024

A Doença de Parkinson é a segunda afecção neurodegenerativa mais prevalente em idosos, caracterizada pela perda de neurônios dopaminérgicos. Casos sintomáticos da doença têm como tratamento preferencial a utilização da Levodopa ou de algum agonista dopaminérgico. Entretanto, a monoterapia baseada no uso desses agentes está sujeita a queda progressiva da eficácia, dessa forma a adição de fármacos adjuvantes para mitigar este efeito é prática comum. Para tal, são utilizados inibidores de catecol-O-metiltransferase e inibidores da monoamino oxidase-B. Nesse contexto, os autores objetivam identificar novidades relacionadas à monoterapia ou à terapêutica adjuvante com inibidores da monoamino oxidase-B. Foi conduzida uma análise qualitativa de 18 artigos abordando novidades no tratamento sintomatológico da Doença de Parkinson, obtidos através do banco de dados PubMed, utilizando-se do critério de busca por mesh terms "(Parkinson Disease[MeSH Terms]) AND (inhibitors, monoamine oxidase[MeSH Terms])", associado aos filtros “artigos produzidos nos últimos 10 anos”, “ensaios clínicos” e “ensaios clínicos randomizados”. Ao longo do texto foram discutidas as novidades terapêuticas recentes dos fármacos da classe dos inibidores da monoamino oxidase-B no contexto da monoterapia ou terapia adjuvante para a doença de Parkinson. O artigo conclui que a utilização de dois fármacos da classe dos inibidores da monoamino oxidase-B, a Rasagilina e a Safinamida, obtiveram resultados em ensaios clínicos recentes que corroboram sua eficácia como adjuvantes ao padrão terapêutico principal com Levodopa.
Reativação de Toxoplasmose ocular em gestante: relato de caso
Authors: Setta Bruno , Rozália Loureiro Novaes Mayra , Santiago Alcoba Junior Rider , Diniz Pinto Bravo Filho José
Published: August 2024

A toxoplasmose ocular é considerada a principal causa de uveíte posterior. Em mulheres grávidas, devido à imunotolerância fisiológica característica, a reativação da infecção por Toxoplasma gondii pode ocorrer. A deficiência visual e cicatrizes retinianas em um indivíduo previamente infectado permitem o diagnóstico. Nesses casos, recomenda-se excluir infecção fetal no líquido amniótico e instituir profilaxia se não for comprovada a ocorrência de infecção fetal. O objetivo desse trabalho foi descrever um relato de caso raro, de uma gestação numa mulher com antecedentes de infeção por T. Gondii e reativação ocular. Trata-se de uma gestante brasileira de 27 anos, casada e residente do Município de Volta Redonda-RJ, com o diagnóstico de reativação ocular de toxoplasmose, sem a evidência de transmissão fetal durante a investigação inicial. Durante a gravidez, a paciente foi encaminhada para o Pré-Natal de Alto Risco (PNAR), monitorizada com ecografias periódicas e acompanhada em serviço de oftalmologia, tendo sido iniciado esquema profilático à base de espiramicina. Após o parto, a análise do soro do recém-nascido não foi sugestiva de infecção pelo protozoário e o mesmo segue em acompanhamento clínico em um centro especializado em doenças infecciosas do município.
Uso de la atropina al 0,01% para el control de la miopía en niños ecuatorianos
Authors: Lazaro Ordonio Mischell , Molinari Szewald Andrea Delia , Salgado Miranda Andrés David , Vargas Buñay Mónica Clemencia
Published: August 2024

Introducción: La miopía es el trastorno refractivo más común en todo el mundo y se ha convertido en una de las principales causas de discapacidad visual prevenible. La atropina ha sido ampliamente estudiada como medicamento para el control de la progresión de la miopía. Métodos: Se realizó un estudio retrospectivo que incluyó a 68 ojos miopes que utilizaron atropina al 0,01%, tratados por 3 oftalmólogos pediatras del Hospital Metropolitano (Quito-Ecuador) entre los años 2016 al 2023. Resultados: Se encontró que la progresión de la miopía se redujo en un 50% en los pacientes tratados con atropina al 0,01%. Se reportaron efectos adversos leves en un 2,15% de los casos y no se reportaron efectos adversos graves. Conclusiones: La atropina al 0,01% redujo en un 50% la progresión de la miopía en niños ecuatorianos.
Citrato de clomifeno en pacientes infértiles con síndrome de ovario poliquístico
Authors: González Ayala Diego Alexander , Pereira Maldonado Erika Jamilet , Chiliquinga Villacis Sixto Isaac , Pinto Sánchez Yazmin Lisseth
Published: August 2024

Introducción: El síndrome de ovario poliquístico es una condición patológica endócrino-metabólica, de etiología multifactorial, caracterizado por hiperandrogenismo, ovarios poliquísticos y/o oligo-anovulación, además de manifestaciones clínicas diversas entre ellas, la infertilidad. El objetivo principal de esta investigación es describir al citrato de clomifeno en pacientes infértiles con síndrome de ovario poliquístico, mediante una revisión sistemática detallada, proporcionando una perspectiva integral sobre la eficacia, seguridad y utilidad clínica de este medicamento. Metodología: Estudio descriptivo retrospectivo observacional no experimental que recopiló 178 artículos bajo criterios de inclusión y exclusión en las bases de datos PubMed, Scielo, Science-Direct y EBSCO, mediante la utilización de una ecuación de búsqueda formulada mediante palabras claves y operadores booleanos, luego de lo cual se procedió al cribado de los mismos mediante la metodología PRISMA. Resultados y Discusión:  El citrato de clomifeno es la principal medida terapéutica para tratar la infertilidad en pacientes con síndrome de ovario poliquístico, debido a que induce la ovulación y maduración folicular, además que mejora la tasa de embarazo y nacidos vivos. Sin embargo, su uso por más de 6 ciclos se asocia con un mayor riesgo de resistencia medicamentosa, junto con otros factores de riesgo como la obesidad o la predisposición genética. Conclusión: El citrato de clomifeno sigue siendo el fármaco de primera línea para el tratamiento de la infertilidad secundaria al síndrome de ovario poliquístico debido a que mejora significativamente la tasa de ovulación, embarazo y nacidos vivos.
Origen y sucesos históricos de la Academia Ecuatoriana de Medicina
Authors: Páez Zumárraga Reinaldo
Published: August 2024

"Academia” es originalmente la denominación de una institución educativa de la Atenas clásica: la Academia fundada por Platón, que debía su nombre a un héroe legendario de la mitología griega, Academo y estaba ubicada en el demo de Kolonos, a un kilómetro al noroeste de la ciudad de Atenas, en unos terrenos adquiridos por Platón alrededor del 384 a. C. La instrucción allí impartida incluía el estudio de las matemáticas, la dialéctica y las ciencias naturales.
Liposarcoma bien diferenciado preperitoneal. Reporte de caso
Authors: Haro Perdomo Alexis , Darquea Molina José Antonio , Torres Ruales Jorge Augusto , Calderon Pasquel Gabriela Soraya
Published: August 2024

El liposarcoma es un tipo de tumor mesenquimatoso raro que representa menos del 1% de todas las neoplasias malignas; de estos, el liposarcoma bien diferenciado, denominado también como tumor lipomatoso atípico, es el más frecuente, representando el 40-45% de los liposarcomas. Sus factores de riesgo aún son desconocidos y, por su baja incidencia de presentación, sus opciones de diagnóstico y tratamiento aún son limitadas. Se ha reportado con mayor frecuencia en extremidades y retroperitoneo, pero sin reportes de incidencia a nivel de grasa preperitoneal. De ahí el interés de reportar un caso de una mujer de 51 años con una masa abdominal de crecimiento lento a quien se realizó una laparotomía encontrando una masa preperitoneal de gran tamaño que correspondió a liposarcoma bien diferenciado. El tratamiento de elección en este tipo de tumores es la resección completa con márgenes negativos y controles periódicos. Existe riesgo de recurrencia y los resultados de la radioterapia son debatibles.
Esquizencefalia frontal bilateral. Reporte de un caso y revisión de la literatura
Authors: Tufiño Sánchez Pamela Carolina , Sosa Ruiz José Arturo , Guerrón Revelo Daniela
Published: August 2024

La esquizencefalia es una anomalía cerebral de origen ontogenético categorizada dentro del grupo de trastornos de la migración neuronal. Debido a su extremada rareza, no se dispone de mucha información respecto a su etiología; sin embargo, teorías genéticas, inflamatorias y de eventos que interfieren en la migración neuronal, son las más aceptadas. Aunque algunos pacientes suelen ser asintomáticos, las manifestaciones clínicas de esta patología varían dependiendo del grado de la lesión y ubicación, afectando directamente al desarrollo neurológico y motor de estos pacientes, siendo la epilepsia el principal signo, lo que influirá también en su pronóstico. Si bien es cierto, el diagnóstico puede ser realizado en el periodo neonatal, la mayoría de estos se lo realiza en el período posnatal, siendo la resonancia magnética de cerebro el gold estándar para el mismo. Se presenta el caso de un paciente masculino de 11 años con diagnóstico por resonancia magnética de esquizencefalia frontal bilateral que cursa con cuadro inicial de convulsiones refractarias al tratamiento al momento de su valoración, hemiparesia braquiocrural izquierda e hiperreflexia ipsilateral.
Strategic Evaluation in Development Teacher Competency
Authors: Gufron Moh , Ningsih Putri Rahayu , Winarto Winarto
Published: August 2024

A quality school will have various programs that are of interest to educational users. A quality school will also be supported by quality human resources as well as professionalism. Teaching is classified as a professional job, because it requires special abilities (techniques). With these special techniques and skills that must be possessed, a teacher plays a significant role and has a very strategic position in determining the success or failure of learning activities. So that this learning process will determine the quality of education in the educational unit. This research seeks to analyze and find strategic evaluations of teacher competency development. This research uses a qualitative approach, phenomenological type with a multisite design. Data collection techniques using in-depth interviews, participant observation and documentation. Data analysis uses the Myles Huberman model of data reduction, data presentation, verification and drawing conclusions. Test the validity of the data through credibility, transferability, dependability and confirmability.The results of the research show: strategic evaluation of teacher competency development is carried out in the teacher performance assessment system, position promotion is based on a reward and punishment system.
Empower Your Leadership Skills with the Wisdom of Books
Authors:   Sona Medical College of Naturopathy and Yoga: Salem, Tamil Nadu, IN, Asokan Dr. N.
Published: August 2024

The book “Empower Your Leadership Skills with the Wisdom of Books” highlights the transformative power of reading for personal and professional growth. It discusses how engaging with various genres enhances mental clarity, creativity, and critical thinking, which are essential traits for effective leadership. The author emphasizes the importance of active reading and lifelong learning, presenting reading as a tool for better understanding complex situations and fostering innovation. Additionally, the book explores the health benefits of reading, such as reducing stress and improving brain function, ultimately promoting a sharper mind and longer life. Keywords: Leadership, personal growth, professional development, reading, mental clarity, creativity, critical thinking, lifelong learning, stress reduction, brain function, innovation.
Non-Monetary Intangible Rewards and Teacher Performance in Secondary Schools in the Central Region of Uganda
Authors: Aisa Muhamad , Kiyingi Frank-Pio , Namugumya Esther
Published: August 2024

This study examined the impact of non-monetary intangible rewards on teacher performance in secondary schools in Uganda’s central region. The study was guided by both Herzberg two factor theory and Adam Stacey’s Equity theory. Using a deductive research approach and a cross-sectional correlation survey design, data were collected via closed-ended questionnaires and interview guides from head teachers, deputy head teachers, directors of studies, district education officers, and teachers across four districts: Kampala, Wakiso, Butambala, and Luweero. The sample included 168 respondents from 40 schools (20 government, 20 private) which was determined using Krecjies Morgan sample size calculation (1970). A pilot study was carried out for reliability and validity test of instruments used. Data was analyzed using at.lasti software for qualitative data and STATA for quantitative data analysis. Pearson’s correlation analysis revealed significant positive correlations between non-monetary intangible rewards and teacher performance. Specifically, there were strong positive relationships with academic performance (r = 0.5696, p < 0.05), non-academic performance (r = 0.5261, p < 0.05), and overall performance (r = 0.638, p < 0.05). Regression analysis showed that non-monetary intangible rewards significantly predict teacher performance (β = 0.484, p < 0.01), explaining 35.6% of its variance. Structural equation modeling also revealed that procedural fairness partially mediates the relationship between non-monetary intangible rewards and teacher performance showing that fairness in reward management enhances teacher performance. Recommendations include diversifying non-monetary rewards, implementing monitoring systems, gathering teacher feedback, and ensuring fair reward distribution.
Lesbianism and its Complexities: An Analysis of Amanyal’ Enyoka by B Chili and M Ndlovu
Authors: Madingiza Themba Mandlenkosi
Published: August 2024

This paper analyses the representation of homosexuality regarding lesbianism as portrayed in the play Amanyal' Enyoka (2013) by Buyi Chili and Mandla Ndlovu. The main characters in Amanyal' Enyoka, Pat and Sindi, a married couple, are portrayed as lesbians and are used to explore female same-sex relationships in a society dominated by heterosexuality, homophobia, and heterosexism. The paper aims to challenge ways of thinking about gender and sexuality. The findings are that the general representation of lesbians in the play shows that a large part of society does not understand the dynamics of sexual diversity, particularly in semi-rural and rural areas. This misunderstanding creates unfounded claims about homosexuality and exposes homosexuals to further stigmatisation. The government and relevant stakeholders need to do more awareness to educate society about the misogyny that lesbians face and create safe environments for their well-being.
The Effectiveness of Law Enforcement Regarding Ogan Komering Ulu Regency Regulation Number 49 of 2019 in Ogan Komering Ulu District
Authors: Kennedy Prima , Suatmiati Sri , Hayatuddin Khalisah
Published: August 2024

The synopsis summarises a study that evaluated the efficacy of law enforcement in Ogan Komering Ulu Regency Regulation Number 49 of 2019 within the Ogan Komering Ulu District. The regulation in question likely relates to specific legal measures or norms within the regency to regulate and govern various aspects of public life, infrastructure, or governance. the study investigates the efficacy of the regulation's implementation by law enforcement agencies in the Ogan Komering Ulu District since its inception.
Exploring Employee Turnover Intention: The Impact of Toxic Leadership and the Mediating Roles of Cognitive Distraction and Workplace Bullying in the Organizational Landscape
Authors: Shrivastava Ankita , Sharma Avnish
Published: August 2024

This study investigates the impact of toxic leadership on employee turnover intention within automobile industry. The primary objectives are to assess the direct influence of toxic leadership (TLB) on employee turnover intentions (ETI) and uncover the mediating roles of cognitive distraction (CD) and workplace bullying (WPB). The implications of toxic leadership (TLB) on employee turnover intentions (ETI) in the automobile industry remain underexplored. This study addresses this gap, recognizing the adverse effects of toxic leadership (TLB) on organizational dynamics and employee intent to leave. The study uses a quantitative approach and distributes surveys among employees in automobile industry. The SPSS PROCESS macro simplifies data analysis by allowing for the investigation of both direct and indirect (mediating) effects. The research model synthesized guides hypothesis testing according to the relevant literature. Statistically significant direct impacts of toxic leadership (TLB) on turnover intention are identified. Positive associations with workplace bullying (WPB) and cognitive distraction (CD) substantiate the mediating roles, providing an understanding of toxic leadership (TLB) dynamics. This study enhances our comprehension of toxic leadership (TLB) in automobile industry. The results highlight the importance of addressing mediating factors to reduce turnover intentions among employees in the automobile industry.
GROW(ing): An Exemplary Educational Approach in Irudhi Suttru
Authors: PJ Arya , R Bhuvaneswari
Published: August 2024

Education can transform a person’s life by aiding in the development of reason and the attainment of freedom of expression. It entails a process of learning and teaching that progresses through various phases of development for both the instructor and the student. Black (2005), Chak de India (2007), Iqbal (2005), Mary Com (2014), Taare Zameen Par (2007), Dangal (2016) etc., are just a few of the popular Indian films about teaching, counselling, and mentoring. Films like Black, Iqbal and Taare Zameen Par pictured coaching for students with special needs. This article attempts to analyse the Tamil film Irudhi Suttru as a representation of John Whitmore’s GROW(goal, reality, options, will) paradigm of coaching, as described in his 1992 book Coaching for Performance. A young, unfortunate adolescent girl named Madhi is featured in the film, and with the assistance of her coach Prabhu, she goes on to win an international boxing championship. This research paper analyses the movie Irudhi Suttru as a film that portrays the journey of a little-known female athlete becoming a world champion through coaching and mentoring. The research study aims to demonstrate that the coach in the movie Prabhu, played by Indian actor and writer R. Madhavan, adopted Whitmore’s GROW coaching model to instruct his exceptional student Madhi, portrayed by Indian actress Ritika Singh.
Enhancing Firm Performance Through Effective Working Capital Management: A Study of Indian Manufacturing Firms Listed at S&P BSE 500
Authors: Shajar Syed Noorul , Beg Kashif , Kashif Mohammad , Khan Mohsin , Saleem Shahrukh , Usmani Faisal
Published: August 2024

The Covid-19 epidemic had a significant and far-reaching effect on the worldwide economy. The circumstances have led to the degradation of financial markets, significant decreases in household consumption, the transmission of diminished demand to various industries and economies worldwide, and substantial shrink in business sales. Consequently, firms have experienced a substantial decline in their overall performance. As the proper administration of money plays a crucial role in the success of enterprises. Consequently, it is critical to investigate the connection between working capital management and manufacturing firms' success. This research investigates the correlation between several aspects of working capital management and the performance of Indian manufacturing companies listed on the S&P BSE 500, utilizing Tobin's Q as a measure. The study included correlation and regression analytic techniques. The study's findings indicate that both Inventory Conversion Period (ICP) and Accounts Receivables Period (ARP) have a negative impact on the business's worth, as evaluated by Tobin-Q (TQ). Conversely, Cash Conversion Cycle (CCC) and (Accounts payable period) APP have a positive effect on the financial performance of the organization. Furthermore, the study indicates that efficient management of working capital can improve business performance, leading to the attainment of sustainable development goals. This study's findings are highly valuable for financial managers, policy-makers, academics, investors, and other government bodies.
A Review on Different Approaches to Computer-Aided Diagnosis of Heart Disease
Authors: Ashok Akash Venkat , Adhikesavalu Akshara , G Priya
Published: August 2024

This is the age of rising technology and the domain that is one of the biggest beneficiaries of this rapid change is healthcare. Nowadays, early detection of any heart irregularity has become a crucial public health concern. This paper reviews various different approaches that have been taken on for computer aided diagnosis (CAD) of heart disease, and provides a comprehensive study and analysis on the same. For ease of understanding and clarity, the paper has been divided into five distinct heart diseases namely, Coronary Artery Disease, Cardiac Arrhythmia, Congenital Heart Disease (CHD), Myocardial Infarction (Heart Attack) and lastly, Cardiac Arrest. The different approaches to computer aided diagnosis possibilities in each category has been reviewed from recent studies and has been further sub-categorized and discussed.
Attack Vectors and Vulnerabilities: Investigating the Methodologies Employed by Attackers to Bypass CAPTCHA Mechanisms, Including Machine Learning-Based Algorithms, Optical Character Recognition (OCR) Techniques, and Adversarial Attacks
Authors: Dayanand  , Jeberson Wilson , Jeberson Klinsega
Published: August 2024

As the prevalence of online services and platforms continues to grow, so too does the threat posed by automated attacks seeking to circumvent security measures such as CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) mechanisms. This research paper delves into the various attack vectors and vulnerabilities inherent in CAPTCHA systems, aiming to provide a comprehensive understanding of the methodologies employed by attackers to bypass these safeguards. Through an investigation into machine learning-based algorithms, optical character recognition (OCR) techniques, and adversarial attacks, this study sheds light on the evolving landscape of CAPTCHA circumvention strategies. By analyzing the strengths and limitations of each attack vector, as well as the potential countermeasures available, this research contributes to the ongoing efforts to enhance the resilience of CAPTCHA systems against automated threats. Ultimately, the findings of this study serve to inform the development of more robust and adaptive CAPTCHA designs, thereby bolstering cyber security in the digital realm. This research paper focuses on investigating attack vectors and vulnerabilities in CAPTCHA mechanisms, including machine learning-based algorithms, OCR techniques, and adversarial attacks. It emphasizes the importance of understanding these methodologies to inform the development of more resilient CAPTCHA designs that can secure online platforms from various attacks.
Equipment Health Monitoring Using Machine Learning Techniques
Authors: V Baviskar Pankaj , Nayak Chitresh
Published: August 2024

The rapid growth of science and technology in modern civilisation has led to an increase in the size, complexity, and automation of machinery and equipment. Two of the most important aspects of modern industrial production are problem identification and machinery condition monitoring. Early problem detection is made possible by effective condition monitoring, which is crucial when taking into account variables like production efficiency, operational dependability, maintenance costs, and downtime. Research on the identification of problems and the health monitoring of machinery has practical implications. For the purposes of equipment monitoring and fault diagnostics, information on the temperature, vibration, noise level, and lubrication state of the equipment is recorded. After that, the information is utilised to identify the issue's primary source and put remedial measures in place. A condition monitoring system's core elements are fault prediction, feature extraction, and problem diagnostics. Feature extraction and fault diagnostics are essential for normal detection, problem localisation, and failure severity prediction. This paper includes fault diagnosis and applications of computational intelligence in condition monitoring and fault detection also this paper presents a method for equipment status monitoring using Machine Learning (ML) techniques. Popular machine learning (ML) classification methods like Random Forest (RF), Random Tree (RT), Naive Bayes (NB), XG Boost (XGB), and Logistic Regression (LR) are used for assembling. The pressing need to increase machine reliability and reduce the possibility of production losses due to machine breakdowns is the reason behind the growing emphasis on machine condition monitoring.
Estudos iniciais sobre a curricularização da extensão universitária em Circo
Authors: Vieira Poliana
Published: August 2024

Este artigo apresenta estudos iniciais do projeto de pesquisa que abordará a curricularização da extensão universitária em Circo nas carreiras de Artes Cênicas e Educação Física. Para os antecedentes de investigação, foram considerados normativas da profissão em Circo no Brasil, artigos acadêmicos e plataformas de pesquisa unificada do Ministério da Educação. Sobre a formação circense foram observadas poucas ocorrências nos níveis técnicos e de especialização, havendo no nível superior ocorrências apenas na extensão universitária. Percebeu-se também que o Circo aparece em áreas distintas do conhecimento e entre as carreiras de Artes Cênicas e Educação Física, quando localizada na extensão universitária. O marco teórico considera Paulo Freire, que problematiza conhecimento popular e academia, na influência de autores como o uruguaio Humberto Tommasino e a brasileira Simone Imperatore, que pesquisam sobre a extensão universitária e a curricularização na América Latina, e também a pesquisa de Mário Fernando Bolognesi, que fundamenta as principais características do Circo enquanto linguagem. Como descobertas, o artigo apresenta o impacto das ditaduras no desenvolvimento da extensão universitária crítica na América do Sul, e a diversidade de espaços e áreas do conhecimento onde o Circo se encontra, apontado na ambivalência do Sublime e do Grotesco do Corpo enquanto matriz do Circo, como possível justificativa dessa diversidade de ocorrências. 
Palavras chave: extensão universitária 1, curricularização 2, circo 3, cultura 4.
Understanding the Blood-Brain Barrier (BBB) with MRI Techniques and Its Implications in Neurodegenerative Diseases: An Overview
Authors: Oliveti Cesare , Iacomino Aniello , Manti Francesco , Tinelli Emanuele , Gatta Gianluca , Di Grezia Graziella , Cascini Giuseppe Lucio , Cuccurullo Vincenzo
Published: August 2024

The blood-brain barrier (BBB) stands as a critical guardian separating the central nervous system (CNS) from the systemic circulation. This comprehensive review explores the anatomical and functional components of the BBB and its association with the neurovascular unit (NVU), emphasizing its role in synaptic signaling and shielding the CNS from neurotoxic elements. Detailed discussions encompass MRI techniques like dynamic contrast enhancement (DCE) and arterial spin labeling (ASL) MRI, illuminating their significance in assessing BBB integrity and permeability. Various models and pharmacokinetic parameters utilized in imaging analysis offer insights into barrier permeability, aiding in the evaluation of neurodegenerative illnesses such as Alzheimer’s, Parkinson’s, and multiple sclerosis. Additionally, the study investigates the distinct characteristics of imaging protocols and their impact on BBB evaluation. Highlighting physiological conditions, the analysis discerns regional disparities in BBB permeability, shedding light on diverse microvascular architectures in healthy subjects. Conversely, in pathological states like Alzheimer’s, Parkinson’s, and multiple sclerosis, BBB dysfunction leads to a cascade of events facilitating the entry of harmful substances, exacerbating neurodegeneration. Imaging studies have unveiled distinct alterations in BBB permeability and perfusion, providing crucial insights into disease progression, notably preceding structural changes in Alzheimer’s and indicating localized disruptions in multiple sclerosis. This comprehensive exploration underscores the pivotal role of the BBB in maintaining CNS health and its intricate involvement in the pathogenesis of neurodegenerative disorders. While imaging techniques serve as promising tools for BBB assessment, further research is warranted to refine their diagnostic precision and differentiation abilities across neurological conditions.
HIGHLIGHTSThe central role of the blood-brain barrier (BBB) with its anatomical-functional components and the association with the neurovascular unit (NVU) represent the heart of this study whose aim is to evaluate and be able to grasp the pathological alterations of permeability and perfusion that suggest the existence of neurodegenerative diseases such as Alzheimer’s, Parkinson's and multiple sclerosis. Different MRI techniques that are used to evaluate BBB alterations such as dynamic contrast enhancement (DCE), MRI with arterial spin labeling (ASL) and various pharmacokinetic models and parameters will be discussed through a literature review in order to provide the radiologist and clinician clear indications regarding the main techniques suggested in the evaluation of this important anatomical-functional unit.
GRAPHICAL ABSTRACT
problema da determinação
Authors: Vargas Gonzalo Patricio Montenegro
Published: August 2024

O problema da determinação é abordado por Deleuze no capítulo IV de Diferença e repetição (1968), com o intuito de proporcionar elementos para a produção de uma noção de diferença. O capítulo extrai uma série de consequências relevantes para o tratamento desse problema a partir de temas caros à tradição, desenvolvidos notavelmente no contexto do tratamento da noção de Ideia de parte da filosofia kantiana. Nosso estudo tenta identificar a estratégia de leitura desenvolvida por Deleuze em seus estudos sobre Kant. Sem dúvida, essa estratégia é muito difícil de discernir em Diferença e repetição, mas resulta evidente quando recorremos à monografia que dedicou a Kant em 1963, intitulada A filosofia crítica de Kant ou ao curso que ministra sobre o pensador alemão em 1978. Desse modo, será possível compreender a articulação de uma leitura retrospectiva que se utiliza da terceira Crítica para abordar problemas específicos no horizonte da primeira. O assunto que nos interessa se refere à determinação no âmbito da relação entre razão e entendimento na primeira Crítica, pois daí derivam as três dimensões que Deleuze descreve na Ideia, a saber, enquanto indeterminada, determinável e abrindo um horizonte de determinação infinita. Além disso, nosso estudo espera examinar o caso paradigmático que Deleuze utiliza para medir essas três dimensões, que se desenha com a interpretação kantiana do Cogito. A exposição se divide em cinco momentos: 1) esclarecemos a estratégia de leitura de Kant, assumida pelo autor francês; 2) descrevemos o papel do sentido interno enquanto mediação das dimensões constitutivas do Cogito kantiano; 3) estabelecemos as condições da separação entre as dimensões indeterminada e determinante na Ideia e no Cogito; 4) destacamos a relevância da distinção kantiana entre juízo determinante e juízo reflexivo; e, por fim, 5) examinamos a natureza da Ideia, dando especial destaque ao ideal de determinação infinita.
É necessária uma filosofia para a agronomia?
Authors: Albrecht Leandro Paiola , Albrecht Alfredo Jr. Paiola
Published: August 2024

O presente trabalho propõe investigar de forma epistemológica a necessidade de se fazer uma filosofia da agronomia, com temática alocada dentro das filosofias da ciência e da tecnologia. A pergunta e problema central a ser respondida é: a agronomia precisa de uma filosofia da agronomia? Face a este objetivo primordial, outros secundários são formulados na construção da proposta, e na averiguação das hipóteses, que inclui metodologia baseada na observação histórica e a conversação com autores que se vinculam à reflexão filosófica de diferentes áreas. A agronomia pode ser compreendida como uma ciência de ampla abordagem e profunda história, conectada a muitas interpretações filosóficas possíveis e com cenários provocativos, como os ligados à fome, à sustentabilidade, às polêmicas atuais e às diversidades que envolvem o meio rural. O contexto agronômico invoca pressupostos e oportunidades na criação de uma filosofia da agronomia, que essa pesquisa se atenta a indicar e pretende argumentar em defesa. Esse artigo não teve a finalidade de esgotar o assunto, mas fornecer alguns argumentos sobre a necessidade de se fazer uma filosofia da agronomia e como fazê-la, além de prover alguns horizontes, em um ambiente teórico de escassa bibliografia específica. Para melhor expor o tratamento assumido, o artigo foi dividido, após a introdução, nos seguintes pontos: perguntas que serão e não serão respondidas por esse trabalho; a pergunta primordial!; o que há para uma filosofia da agronomia?; algumas outras perguntas que vêm na sequência e precisam ser respondidas!; qual linha na filosofia da ciência tem maior poder explicativo para uma epistemologia da agronomia? A partir de discernimentos que devem ser mais bem discutidos em obras futuras, propõe-se que a agronomia é uma ciência moderna, de amplo tratamento e protagonismo atual, que parece estar vinculada mais à abordagem historicista, a exemplo da perspectiva de autores como Thomas Kuhn, Paul Feyerabend e Larry Laudan.