bluuebunny/crossref_metadata_2025 huggingface dataset:
Mathematical Models of Wound Healing and Tissue Regeneration: Insights with Numerical Solution
Authors: Arora Geeta , Singh Sarabjit , Emadifar Homan
Published: May 2024

Understanding and forecasting the dynamics of wound healing processes heavily relies on mathematical modeling. Researchers can understand the complicated connections between cells, tissues, and biochemical components involved in wound healing by using mathematical equations and computational simulations. One such mathematical model that has seeks the interest of researchers in exploring wound healing phenomenon is Fisher’s equation. In the present work, the equation is solved using differential quadrature method with trigonometric tension B-spline (TTBs) basis function. The obtained results are compared with the results obtained from earlier studies and the results are presented in form of tables and figures. The implementation of the particle swarm optimization algorithm has removes the dilemma of unknown parameter involvement in the TTBs and hence resulted in a novel technique to find the numerical results.
Performance Evaluation of Some Selected Classification Algorithms in a Facial Recognition System
Authors: Adio Michael Olumuyiwa , Ogunwuyi Ogunmakinde Jimoh , Oyediran Mayowa Oyedepo , Esan Adebimpe Omolayo , Adedapo Olufikayo Adepoju
Published: May 2024

Facial Recognition (FR) has been an active area of research and has diverse applicable environment, it continues to be a challenging research topic. With the development of image processing and pattern recognition technology, there are many challenges in machine learning to select the appropriate classification algorithms, most especially in the area of classification of extracted features to have low classification time, high sensitivity and accuracy of the classification algorithms, so it is very important to explore the performance of different algorithms in image classification. The three selected supervised learning classification algorithms: Learning Vector Quantization (LVQ), Relevance Vector Machine (RVM), and Support Vector Machine (SVM) performance were evaluated so as to know the most effective out of the selected algorithms for facial images classification. The development of the system has four stages, the first stage is image acquisition and 180 images were taken by digital camera under same illumination and light colour background. The second stage is pre-processing to improve the images data by suppressing unwilling distortion; grayscale and normalization were used for image pre-processing. The third stage is feature extraction; Discrete Cosine Transform (DCT) is adopted for this purpose. While the fourth stage is face recognition classification, Receiver Operating Characteristics (ROC) was used to test the performance of each the three algorithms. However the Learning Vector Quantization algorithm, Relevance Vector Machine and Support Vector Machine performance have not been compared together to the most effective out of the three algorithms in term of False Positive Rate, Sensitivity, Specificity, Precision, Accuracy and Computation Time. Hence, this work evaluated the performance of the Learning Vector Quantization; Relevance Vector Machine and Support Vector Machine classification algorithms in facial recognition system and Support Vector Machine outwit the other two algorithms in facial recognition in term of specificity, recognition time and recognition accuracy at different threshold.
Feasibility of Wind Energy Utilization for Sustainable Power Generation in Ilorin, Kwara State, Nigeria's North-Central Region
Authors: Balogun Monsurat Omolara , JIMADA-OJUOLAPE Bilkisu , Taiwo James Ayo , OLUSI Titilayo
Published: May 2024

The escalating energy demands across Nigeria, especially in remote rural areas, have outpaced the capacity of the national electricity grid, necessitating the development of independent and sustainable energy sources. Among the renewable options, wind energy stands out as a promising solution. This study focuses on assessing the potential of wind energy in Ilorin, located in Kwara State, within Nigeria's north-central region. Utilizing data collected from 2007 to 2021 by the Nigerian Meteorological Agency, the research examines monthly average wind speeds at two specific coordinates in Ilorin, considering variations in air density. The study utilizes a 15-year set of monthly average wind velocities obtained from the Nigerian Meteorological Agency (NiMet) Headquarters in Abuja, measured at a height of 10 meters above ground level. By employing the 2-coefficient Weibull statistical model and extrapolation principles across different altitudes ranging from 150 to 900 meters above ground level, the study reveals distinct seasonal patterns of wind speeds ranging from 1.1 to 5.1 m/s in Ilorin. Furthermore, wind power density values ranging from 6.7 to 39.20 W/m2 are identified, with optimal wind attributes observed at altitudes exceeding 900 meters. These findings provide valuable insights for assessing the feasibility of wind energy utilization and designing efficient systems in Nigeria's north-central regions, aiding in the sustainable energy transition.
On Bayesian premium credibility: maximum entropy prior for unknown claims process and numerical example
Authors: Boudjelida Naim , Remita Mohamed Riad , Zeghdoudi Halim
Published: May 2024

In the complex field of insurance, determining the credibility of the most efficient premium is a major challenge, especially when the distribution of claims remains unknown. This study uses a Bayesian methodology to address this issue. In this framework, the initial assumptions concerning the unidentified parameters of the claims process are expressed by means of a distribution function. The objective is to establish premium credibility by maximizing the insurance company's expected utility while respecting specific constraints. By applying the maximum entropy method, we can derive the posterior distribution of the loss process from the observed data available. This approach is advantageous because it offers modeling flexibility and enables estimates to be progressively updated as new data becomes available. It is also particularly useful in situations where data is limited or incomplete, as is often the case in the insurance sector. The study highlights the characteristics and advantages of this Bayesian method. It highlights how the approach handles uncertainty and integrates prior knowledge into the estimation process. In addition, several numerical illustrations are included to demonstrate the practical application of the method and its impact on determining premium credibility. In summary, this research offers an innovative perspective on risk management in the insurance sector. It proposes a method that not only adheres to the playful approach to risk management, but also to the premium credibility approach.
Uma experiência sobre intuição matemática
Authors: Gonschorowski Juliano dos Santos , Gonschorowski Graciele Pereira da Cruz
Published: May 2024

A intuição no âmbito educacional tem sido discutida ao longo dos anos, devido ao fato de que alguns estudiosos discordavam da relação entre a intuição e o rigor. Ela pode ser definida como um produto das representações feitas a partir da realidade, tendo um papel coparticipante no método de aprendizagem. Na maior parte da vida estudantil, os alunos se apropriam de conhecimentos matemáticos de forma pronta, isto é, de maneira mecanizada, com algoritmos e macetes prontos, sem considerar o raciocínio e a intuição. Um exemplo disso é com respeito aos universitários da área de exatas, os quais muitas vezes apresentam uma compreensão algébrica e não visual dos principais conceitos estudados na disciplina de Cálculo. Isso se deve ao fato de que o modelo de ensino de Cálculo privilegia os conceitos dados por meio de definições, demonstrações e exercícios e não favorece o desenvolvimento cognitivo do aluno, fazendo o uso da intuição na construção do conhecimento. No presente trabalho é apresentado o conceito de intuição na perspectiva de dois autores, o primeiro é Henri Poincaré e o segundo Efraim Fischbein, em seguida descrevemos uma sequência didática, realizado em duas turmas de primeiro período dos cursos de engenharia mecânica e engenharia civil da UTFPR, na disciplina de Cálculo Diferencial e Integral 1 (CDI1). Em ambas as turmas foram construídas primeiramente, a fórmula para calcular o volume de um sólido de revolução e em seguida a área da superfície deste sólido. Para o desenvolvimento da fórmula do volume fez-se uso da intuição matemática e chegou-se ao resultado esperado. Contudo, usando a intuição na segunda fórmula, chegou-se a um resultado errado. Desta forma, o objetivo desta atividade foi mostrar aos alunos que nem sempre pode-se confiar na intuição matemática.
Trabalho a céu aberto e sua relação com a saúde dos trabalhadores: exposição ao calor e a radiação solar
Authors: Machado Jelvis Santos , Schettino Stanley , Cabacinha Christian Dias , Soranso Denise Ransolin , Minette Luciano José
Published: May 2024

Este estudo objetivou avaliar, em diferentes regiões brasileiras e latinas, a existência de correlação entre o Índice de Bulbo Úmido Termômetro de Globo (IBUTG) e o índice Ultravioleta (IUV), bem como a aplicabilidade desses índices para a determinação do risco de desenvolvimento distúrbios ocupacionais relacionados a esses agentes físicos em trabalhadores rurais que desenvolvem suas atividades laborais a céu aberto. Para abranger a maior variação possível de latitude, altitude e clima entre os pontos amostrais, foram coletados dados em cinco regiões localizadas no Brasil e em duas outras localizadas em países da América do Sul. Para cada um dos pontos amostrais, foram calculados os valores médios de IBUTG e IUV, tendo sido utilizados os seguintes dados meteorológicos: temperatura do ar, pressão do vapor de água, umidade relativa do ar e radiação solar global. Foi avaliado se, entre os pontos amostrais e considerando o total dos dados analisados, os valores de IBUTG e IUV apresentavam associação entre si e com os de temperatura ambiente, umidade relativa do ar, pressão de vapor e radiação solar. Para isso, foi obtido o grau de associação, efetuando-se a análise da matriz de coeficiente da correlação (r) de Pearson, pelo teste t a 5% de probabilidade. Os resultados demonstraram total ausência de correlação entre o índice IBUTG e índice IUV, sendo o primeiro um índice bem correlacionado com a temperatura local, já o segundo teve maior correlação com a radiação local, corroborando o fato de que, localidades que apresentam temperaturas abaixo dos limites de tolerância de exposição ocupacional, de acordo com o IBUTG, podem apresentar condições que exponham os trabalhadores aos riscos de insalubridade decorrentes da exposição a radiação ultravioleta (UV). Conclui-se que os índices IBUTG e IUV são índices com diferentes aplicabilidades, sendo o primeiro apropriado para a caracterização da exposição ocupacional ao calor e o segundo mais eficaz para caracterizar a exposição a radiação UV sendo, ambos, conjuntamente importantes ferramentas para a proposição de medidas preventivas capazes de evitar o adoecimento dos trabalhadores agroflorestais devido a exposição ao calor e a radiação UV.
A formação de professores no Brasil: uma análise dos estudos sobre os Centros Estaduais de Formação Continuada
Authors: Franco Maira Vieira Amorim , Cruz Shirleide Pereira da Silva
Published: May 2024

As pesquisas referentes à Formação Continuada de Professores têm buscado analisar as demandas sociais, o impacto das políticas públicas, dos projetos educacionais em andamento e as questões relacionadas aos elementos objetivos e subjetivos que permeiam o trabalho em uma sociedade que se organiza sob a ótica capitalista. Dessa feita, o presente estudo teve por objetivo apresentar o resultado da análise de trabalhos que pesquisaram os Centros de Formação Continuada de Professores geridos por redes estaduais de educação. Buscou-se identificar e compreender como as produções científicas sobre tal campo estão realizadas, em observância aos trabalhos que investigaram as instituições que oferecem essa modalidade de formação. Para tanto, empreendeu-se um estudo de revisão de literatura, tendo como recorte temporal o período 2010-2022, partindo da publicação dos Decretos nºs 6.755, de 29 de janeiro de 2009, e 8.752, de 9 de maio de 2016, que regulamentaram a Formação de Professores na última década. Como método de investigação e exposição elegeu-se o Materialismo Histórico e Dialético, que possibilitou a apreensão e compreensão concreta das relações presentes nos trabalhos analisados, desvelando as determinações histórico-sociais relacionadas ao objeto de estudo, contribuindo, assim, para uma interpretação mais abrangente e contextualizada do material selecionado. Os resultados evidenciaram a escassez de estudos sobre as instituições de Formação Continuada de Professores dos sistemas locais de ensino, bem como alguma tendência de investigação sobre o trabalho em sala de aula, das técnicas e metodologias da prática pedagógica do professor regente e do professor formador, tendo como base as experiências exitosas e o repasse de formação entre pares.
On the Usage of Orthogonal Polynomials with Picard Iteration Method to Find Numerical Solutions of Neutrosophic Non-Linear Ordinary and Partial Differential Equations
Authors:   Cairo University, Cairo, Egypt, Arwa Arwa
Published: May 2024

This research aims to modify the Picard iteration method by hybridizing it with some orthogonal polynomials and then applying the hybrid method in solving neutrosophic nonlinear elementary value problems. This method is based on modifying the Picard iteration method by approximating the right-hand side of the neutrosophic differential equation of the studied problem either by Legendre polynomials or by Chebyshev polynomials of the first kind to obtain two different hybrids of the Picard iteration method. Also, we apply this modification to neutrosophic elementary value problems represented by neutrosophic nonlinear and right-handed nonlinear differential equations to demonstrate the reliability and efficiency of the proposed modified method. For this goal, we prove how effective this method is, we calculate the neutrosophic absolute error of approximate solutions resulting from the application of the proposed modification of the Picard iteration method and with the exact solution.
The Use of Oxford’s Memory Strategies to Improve Vocabulary Learning Among Eleventh Grade EFL Students in Oman
Authors: Al Abri Ahmed Hamed Rashid , Mohd Tahir Mohd Haniff , Saputra Syahwil
Published: May 2024

Omani students must acquire English vocabulary to achieve educational qualifications and effectively communicate with English-speaking individuals, as vocabulary plays a crucial part in studying a foreign language and achieving academic success. Omani eleventh-grade students require assistance in employing effective ways for acquiring and retaining English vocabulary. They struggle with word retrieval in both spoken and written language. This study investigates the memory strategies utilised, preferred strategies, and influencing factors among eleventh grade EFL students in Oman. This study utilises an explanatory sequential mixed methods methodology. Convenience sampling was used to involve 126 students in this study. The researcher gathered data through a questionnaire, a semi-structured interview, and an observation checklist. The questionnaire data is analysed by descriptive statistical analysis, which includes calculating the mean and standard deviation. Thematic analysis is utilised for analysing the semi-structured interview data, while observation analysis is carried out to assess the classroom observation checklist. The findings showed that the most utilised category of methods is reviewing well (x=3.99), followed by employing actions (x=3.07). Interviews reveal that students favour utilising movies, visual aids, gaming, or competitive activities while interacting with their peers and friends. Additionally, CML tactics are predominantly utilised by teachers in their classrooms. The study results would assist educators in developing their vocabulary teaching strategies more efficiently, resulting in increased advantages for students. The curriculum developers could create tasks that enhance language acquisition.
Unveiling Voices and Empowering Narratives: A Comprehensive Exploration of Islamic Feminism in Marjane Satrapi's Persepolis
Authors: K. Liyana , Alagesan M.
Published: May 2024

This literature paper delves into the intricate layers of Islamic feminism within Marjane Satrapi's graphic novel Persepolis. The narrative unfolds against the backdrop of post-revolutionary Iran, providing a nuanced examination of the lives of Iranian women amid political and social transformations. Through a thorough analysis of female characters, with a focus on Marjane's experiences and those of her counterparts, the paper explores instances of resistance and agency as women navigate societal expectations. The concept of Islamic Feminism is introduced and contextualized, tracing its evolution, key principles, and objectives, while highlighting its role in challenging traditional gender norms within Islamic values. The historical and cultural background of Iran during the depicted period, encompassing the Iranian Revolution and its aftermath, sets the stage for feminist discourse.Examining specific scenes and dialogues, the paper identifies and analyses elements in the narrative that reflect Islamic Feminist ideas, illustrating how Satrapi skilfully navigates the intersection of feminism and Islamic culture. Challenges and criticisms surrounding the application of the Islamic Feminism label to Persepolis are addressed, considering perspectives from both proponents and sceptics. The study concludes by discussing the potential impact of Persepolis on readers' understanding of Islamic Feminism and its broader contribution to conversations about feminism within Islamic contexts. Through a comprehensive examination, it highlights the significance of embracing diverse perspectives and employing dynamic approaches to comprehend the complexities of women's experiences within the Islamic context. By integrating ijtihad and pluralist, liberal-rationalist, and contextual approaches, it aims to unveil voices and empower narratives, ultimately fostering gender equality and justice for all. This abstract encapsulates the essence of the findings, offering insights into the multifaceted nature of Islamic feminism as pictured in Persepolis.
Hybrid Extended Fuzzy AHP and Fuzzy ARAS Methodology for Evaluating Train Organization Systems in Bosnia and Herzegovina
Authors: Kalem Aida , Čabrić Nermin
Published: May 2024

The operational transport strategies of a state are developed as a combination of train organization systems and network usage systems. Due to the central importance of these operational transport strategies, special attention is paid to analyzing their functioning and the conditions under which different combinations of train organization systems and network usage become feasible and commercially viable. This study proposes a hybrid fuzzy approach to multi-criteria decision-making methods for evaluating and assessing train organization systems and network usage in Bosnia and Herzegovina. For this purpose, an extended Fuzzy Analytic Hierarchy Process (E-FAHP) was applied to determine the relative significance of each criterion, followed by ranking train systems using the Fuzzy Additive Ratio Assessment Method (Fuzzy ARAS). To validate the efficacy of the proposed framework, a case study was conducted using a real-world example. The findings demonstrate tangible potential for practical implementation.
Penerapan Model Pembelajaran Kooperatif Tipe STAD untuk Meningkatkan Keaktifan dan Hasil Belajar PKn Peserta Didik Kelas 3 SD Negeri 15 Nyiin
Authors: Lasta Gracia Angelica Friensi , Hardjono Nyoto
Published: May 2024

Penelitan ini dilatarbelakangi oleh rendahnya hasil belajar PKn peserta didik di SD Negeri 15 Nyiin Kecamatan Jelimpo. Subjek penelitian ini adalah peserta didik kelas 3 yang berjumlah 32 anak. Desain penelitian menggunakan penelitian tindakan kelas yang terdiri dari 2 siklus. Teknik pengumpulan data yang digunakan adalah observasi dan tes. Observasi digunakan untuk mengamati kegiatan pembelajaran selama penelitian, dan tes untuk memperoleh data tentang hasil belajar PKn. Hasil penelitian menunjukkan bahwa pelaksanaan pembelajaran dengan menggunakan model pembelajaran kooperatif tipe STAD dapat meningkatkan keaktifan dan hasil belajar PKn peserta didik kelas 3 SD Negeri 15 Nyiin. Hasil keaktifan peserta didik terdapat siswa yang tidak tuntas dan tuntas. 32 peserta didik yang tidak tuntas sebanyak 40,62% atau 13 peserta didik dan peserta didik yang tuntas sebanyak 59,37% atau 19 peserta didik. Dari hasil analisis yang di dapat hasil belajar PKn mengalami peningkatan dari siklus 1 dan siklus 2 yaitu 45% ke 93%. Kesimpulan dari penelitian ini adalah bahwa pembelajaran dalam dengan menggunakan model pembelajaran kooperatif tipe STAD dapat meningkatkan keaktifan peserta didik dan hasil belajar PKn pada peserta didik kelas 3 SD Negeri 15 Nyiin.
Attitude and perception of medical and nursing undergraduates and faculty towards simulation-enhanced interprofessional education at an institute in India
Authors: Mahmood Lulu Sherif , Mohammed Ciraj Ali , Gilbert John H.V.
Published: May 2024

Background

The need for interprofessional education (IPE) has been recognized on the basis of compromised patient care due to ineffective communication and teamwork among healthcare providers. Using Simulation to enhance IPE has been advocated to achieve the competencies required for effective interprofessional collaborative practice. However, the implementation of this powerful tool and its integration into Indian medical education are a relatively recent development, gradually gaining momentum in recent years.

Purpose

This study was undertaken to assess the attitudes and perceptions of a group of Indian medical and nursing undergraduates and faculty towards simulation-enhanced interprofessional education (Sim-IPE) before introducing this module at the institute.

Methods

A descriptive correlational design was conducted using the KidSIMTM ATTITUDES scale on a convenient sample of 82 students and faculty of medical and nursing colleges.

Results

The total scores for the 30-item questionnaire revealed an overall positive attitude towards IPE and Simulation as a learning modality. Analysis of variance tests revealed lesser scores for students when compared to faculty.

Conclusions

A positive attitude towards Sim-IPE by students and faculty is promising, and it is the first step towards integrating Sim-IPE into the undergraduate curriculum in India.
OS DESAFIOS DO ATENDIMENTO EDUCACIONAL ESPECIALIZADO NO ESTADO DO AMAZONAS: PERCEPÇÕES A PARTIR DE UM ESTUDO MULTICASOS EMBASADO NA LITERATURA NACIONAL
Authors: Ferreira Hosana
Published: May 2024

No contexto da educação inclusiva de pessoas com deficiência, um dos aspectos cujo destaque é pertinente diz respeito ao Atendimento Educacional Especializado – AEE. Isto consiste na prestação de serviços de suporte pedagógico, com vistas a atender com maior precisão as demandas educacionais de alunos com deficiência. O estudo apresenta como objetivo geral elucidar sobre os desafios do atendimento educacional especializado no estado do Amazonas, a partir de um estudo multicasos embasado na literatura nacional. Quanto aos seus aspectos metodológicos, é um estudo bibliográfico, exploratório, de natureza qualitativa e apoiado num estudo multicasos. A prática investigativa contou com a seleção de 3 casos ocorridos no estado do Amazonas sobre a aplicabilidade do AEE. Os casos selecionados apresentam como lacunas quanto a prática do AEE questões como formação continuada deficitária, materiais didáticos inadequados, falta de articulação dos professores do AEE e de professores da sala comum, bem como a ausência de uma relação mais estreita entre famílias de alunos com deficiência e as escolas onde o AEE é ofertado. O estudo conclui que o AEE é envolto numa dimensão de complexidade, de maneira que o êxito de sua operacionalização perpassa pela união de todas as partes interessadas, o que engloba gestão escolar, professoes, alunos e famílias em prol da inclusão das pessoas com deficiência no contexto escolar brasileiro.
IMPACTOS DA ESTOMIA NA QUALIDADE DE VIDA DE PACIENTES ONCOLÓGICOS: REVISÃO INTEGRATIVA
Authors: Tieppo Gissele Virginia Linzmeyer , Alves Larissa dos Santos , Sava Sandriane Ferraz dos Santos , Lopes Vagner José , Soares Vitória Pionteka Moura , Lourenço Janaína Pessoa , Souza Marli Aparecida Rocha de
Published: May 2024

OBJETIVO: Identificar na literatura, os impactos da estomia na qualidade de vida dos indivíduos. METODOLOGIA: Revisão Integrativa de abordagem quantitativa, realizada nos meses de janeiro a junho de 2023, nos recursos informacionais eletrônicos no Portal Regional da Biblioteca Virtual em Saúde (BVS) e bases de dados: Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS), Sistema Online de Busca e Análise de Literatura Médica (Medline), no portal eletrônico Scientific Eletronic Library Online (SciELO) e Google Acadêmico. Com a questão norteadora: Quais os impactos da estomia na qualidade de vida dos indivíduos?”. RESULTADOS: Os impactos identificados a impactarem na qualidade de vida dos pacientes estomizados, estiveram ligados às questões físicas, psicológicas e sociais e que afetam o autocuidado. CONCLUSÃO: Evidenciado que a assistência de enfermagem deve ser mediada pelo conhecimento sobre a necessidade da pessoa, para que a assistência tenha um planejamento com ações direcionadas do biológico ao social.
SENSIBILIZANDO ESCOLARES E PROFESSORES SOBRE DIABETES MELLITUS TIPO 2 E HIPERTENSÃO ARTERIAL SISTÊMICA: UM RELATO DE EXPERIÊNCIA
Authors: Maia Breno Figueiredo , Silva Felipe José Silva e , Cruz Fernando Costa da , Noronha Filipe de Almeida , Freitas Filho Hálisson Ferreira , Moura Isabella Tavares , Nascimento Emerson André Negrão do , Borges Evelyn Teixeira , Pereira Waltair Maria Martins
Published: May 2024

Embora os avanços da área da saúde tenham sido promissores, principalmente nas esferas de diagnóstico e tratamento, a hipertensão arterial sistêmica e a diabetes mellitus ainda representa um grande problema de saúde pública, sendo essenciais ações de promoção e educação em saúde como estratégia de mudança deste cenário. Este relato objetivou descrever processo de ensino-aprendizagem de estudantes de medicina com a execução de atividades do Plano Estratégico Situacional sobre Diabetes e Hipertensão. Trata-se de um estudo descritivo, do tipo relato de experiência do processo de ensino-aprendizagem, utilizando o uso da pedagogia por problemas para os discentes, protagonizando seu aprendizado e promovendo ações para a população sob a orientação do docente. Foram executadas ações programadas para os indivíduos da Comunidade escolar, dividido em quatro momentos do Planejamento Estratégico, havendo, no quarto momento, o desenvolvimento de uma cartilha infantil e encenação teatral sobre Diabetes e Hipertensão, além da distribuição de panfletos informativos, a fim de abranger o público-alvo que possuíam diferentes idades, ademais houve a aferição de pressão arterial e glicemia dos adultos e a distribuição café da manhã. A execução das ações de promoção à saúde foi considerada positiva para o aprendizado dos discentes sobre o Planejamento Estratégico Situacional e sua aproximação com o cuidado humanizado. Ademais, permitiu que o público-alvo obtivesse conhecimentos sobre a promoção da saúde e a prevenção de tais doenças de alta prevalência na Comunidade Riacho Doce.
SAÚDE MENTAL EM SAÚDE PÚBLICA NO BRASIL: O PAPEL DA EQUIPE MULTIDISCIPLINAR E DO APOIO MATRICIAL NA QUALIDADE DA ASSISTÊNCIA
Authors: Macedo Angélica de Castro Cordeiro Fernandes , Silva Marcos Paulo Ferreira , Rocha Mabel Alencar do Nascimento , Santos Merilaine Isabel dos , Bolan Renata da Silva , Silva Joana Darc Ferreira da , Bohórquez Karen de Fátima Figueroa , Fernandes Priscila Castro Cordeiro
Published: May 2024

A saúde mental é um componente vital do bem-estar humano, transcendendo a mera ausência de doenças mentais. Este estudo aborda a importância da saúde mental no contexto da saúde pública brasileira, ressaltando os desafios enfrentados e as estratégias adotadas para promover um cuidado mais abrangente e eficaz. A evolução do cuidado em saúde mental no Brasil é marcada por marcos importantes, que refletem uma mudança de paradigma, passando de uma abordagem predominantemente hospitalocêntrica para um modelo integral, de acordo com os princípios da universalidade, equidade e integralidade do Sistema Único de Saúde. Na luta contra os principais obstáculos no atendimento em saúde mental, que é a falta de capacitação adequada dos profissionais de saúde do primeiro nível de atenção em saúde, foi introduzido o conceito de apoio matricial, que visa integrar os cuidados em saúde mental no primeiro nível de atenção à saúde com especialistas que podem, mesmo à distância, apoiar o manejo clínico de o projeto terapêutico singular do indivíduo assistido. Ressalta-se a importância da equipe multidisciplinar no acompanhamento em saúde mental e a constante luta para que os indivíduos de difícil manejo consigam ter uma oferta de qualidade de serviço adequada.
CORRIDA EM JEJUM: MAXIMIZANDO O POTENCIAL METABÓLICO E ADAPTATIVO
Authors: Andres Leandro Rubio
Published: May 2024

Este trabalho explora a prática da corrida em jejum como um potencial estratégia para maximizar o potencial metabólico e adaptativo. O objetivo principal é entender, através de uma revisão bibliográfica criteriosa e abrangente, como a corrida em jejum pode potencializar o metabolismo e promover adaptações fisiológicas benéficas. O estudo envolve a análise de diversos materiais literários, incluindo artigos científicos recentes, pesquisas anteriores e publicações relevantes no campo da Fisiologia do Exercício. A revisão bibliográfica é realizada com um enfoque especial nos mecanismos bioquímicos e fisiológicos que são ativados durante a corrida em jejum. A pergunta central deste estudo é: "Como a corrida em jejum pode maximizar o potencial metabólico e adaptativo?" Essa questão guia toda a pesquisa, enquadrando as leituras selecionadas e conduzindo as análises feitas das várias fontes consultadas. Espera-se que este estudo contribua para o conhecimento existente sobre os benefícios da corrida em jejum, fornecendo insights valiosos sobre como essa prática pode melhorar não apenas a performance atlética, mas também a saúde geral e o bem-estar. Este trabalho pretende ser um recurso útil para profissionais da área da saúde, educadores físicos, atletas e qualquer pessoa interessada em otimizar sua saúde metabólica através do exercício físico.
Smart Offloading Strategies by Optimizing Fog Computing Through Reinforcement Learning Strategies
Authors:   CSE, Guru Nanak Institutions Technical Campus, Hyderabad, Telangana, India, Sutrawe, Ms.Rajashree
Published: May 2024

With the proliferation of Internet of Things(IoT) devices and the exponential growth in data volume, fog computing has emerged as a promising paradigm to address the limitations of cloud-centric architectures by bringing computation and storage closer to the data source. In fog comp uting environments, efficient task offloading plays a crucial role in optimizing resource utilization and minimizing latency. This paper proposes a novel approach to smart offloading strategies utilizing reinforcement learning (RL) techniques. To validate the effectiveness of our approach, we conduct extensive simulations and experiments using representative fog computing scenarios. Results demonstrate significant improvements in offloading efficiency, latency reduction, and resource utilization compared to traditional static offloading methods. Keywords: Fog Computing, Internet of Things (IoT), offloading, reinforcement learning.
STUDENT ENTREPRENEURSHIP CHALLENGES IN INDIA
Authors:   NIMS School of Business Rajasthan, Jaipur, kushwaha Pradeep kumar
Published: May 2024

This paper examines the challenges faced by student entrepreneurs in India, aiming to slip light on the factors impacting their entrepreneurial trip. The disquisition employs mixed-styles approach, combining qualitative interviews and quantitative checks to gather comprehensive receptivity. Findings reveal a myriad of challenges, including limited access to backing, lack of mentorship, nonsupervisory hurdles, and societal spots also, cultural morals and educational systems impact scholars' perceptions and amenability to pursue entrepreneurship. Understanding these challenges is vital for policymakers, educators, and stakeholders to develop targeted interventions and support systems to foster a thrivin ecosystem for student entrepreneurship in India. KEYWORDS - Research paper, Challenges to start a Startup, Entrepreneurship, Barrier for Startup, Barriers for Entrepreneurs.
Exploring Cybersecurity Challenges and Emerging Trends in Cutting-Edge Technologies
Authors:   Department of Master of Computer Applications, Sri Manakula Vinayagar Engineering College Puducherry-605 107, India., V Mr. Udhayakumar,
Published: May 2024

In today's technologically driven landscape, a profound comprehension and adept application of cybersecurity have become non-negotiable. The stakes are high; without fortified defenses, systems, crucial files, data repositories, and virtual assets hang precariously in the balance, vulnerable to a plethora of potential threats. This imperative extends universally; whether it's a cuttingedge tech conglomerate or a modest momandpop shop, the need for robust cybersecurity measures remains unwavering. As the cybersecurity realm continues its relentless evolution, so too does the ingenuity of cyber adversaries, who continually refine and enhance their arsenal of hacking techniques, relentlessly probing for weak points within organizational defenses. This perpetual catandmouse game underscores the indispensable nature of cybersecurity in protecting the interests of military institutions, government agencies, financial enterprises, healthcare providers, and corporate entities alike. These entities serve as custodians of vast reservoirs of data, spanning an array of sensitivities—from confidential financial records and proprietary intellectual property to deeply personal information. Any breach or unauthorized access to such data could unleash a cascade of adverse consequences. Thus, the deployment of comprehensive cybersecurity protocols emerges as a strategic imperative, serving as a bulwark against potential threats and preserving the sanctity of invaluable assets across multifarious sectors of society. Keywords: cyber security, cyber crime, cyber ethics, social media, cloud computing, android apps.
A STUDY ON ROLE OF LIFE INSURANCE CORPORATION OF INDIA WITH REFERENCE TO JEEVAN LAKSHYA POLICY
Authors:   VTU-Regional Centre Kalaburagi, Kshirasagar Krishan Rao A
Published: May 2024

The most important aspect of human life is its uncertainty. In the modern industrialized era. Human life and property are inevitably exposed to different kinds and varying degrees of risks and uncertainties. Human beings to protect themselves and their property from total disaster. Resort intelligently to protection coverage extended by the insurance companies which act as a trustee to the amount collected through premiums and provide certainty in the place of uncertainty. This article reveals the awareness. About LIC JEEVAN LAKSH POLICY holders five point there are a number insurance companies and different policy are available now but the role of JEEVAN LAKSH POLICY influencing peoples has to be calculated In this highly competition environment JLP has to satisfy the customers to gain more than other insurance policy . So understanding the customer needs their problems will enable the JLP to design appropriate products determine price correctly and increase their profitability. Key words : LIC JEEVAN LAKSH POLICY Schemes
Fresh Fruit Detection Using Deep Learning
Authors:   Department of Artificial Intelligence & Data Science, Priyadarshini College of Engineering, Nagpur, Maharashtra, Kailuke Dr. Aniruddha
Published: May 2024

The Fresh Fruit Identification System constitutes a notable advancement in the meals industry. Employing sophisticated technologies along with machine-getting-to-know and computer imagination and prescient, it complements the great evaluation and optimization of perishable items, mainly focusing on culmination and greens. This contemporary system employs advanced gadgets gaining knowledge of models, especially convolutional neural networks (CNNs), to meticulously analyze high-decision pics of processed meals. By rapidly and appropriately identifying objects based totally on attributes that include shade, texture, and shape, the machine guarantees no longer the simplest precision in categorization but also an in-intensity best evaluation. This entails defect detection and the assessment of ripeness, making sure that the most effective rate-satisfactory merchandise reaches customers. The implementation of sturdy and scalable systems has adeptly addressed demanding situations associated with facts, model education, and real-time processing. Consequently, the Fresh Food Identification System emerges as a pivotal contributor to raising the standards of the perishable meals supply chain, embodying a dedication to excellence and performance. Keywords— Fresh Fruit Detection, Machine Learning, Computer Vision, Fruit Quality Assessment, Food Safety, Image Processing,Classification Algorithms, Object Detection, Feature Extraction, Deep Learning,Convolutional Neural Networks (CNN).
SECURE AND EFFICIENT IMAGE SCENE CLASSIFICATION USING CNN
Authors:   Research Scholar, Dept of  CSE, B.S.Abdur Rahman Crescent Institute of    Science    & Technology, Vandalur, T .GEETHA
Published: May 2024

The utilization of remote detecting picture scene order, which endeavors to group remote detecting pictures into various semantic classes relying upon their substance. Profound learning-based remote detecting picture scene classification has created a ton of consideration and accomplished critical steps because of these organizations' solid element mastering abilities. As far as we could possibly know, there hasn't been an extensive examination of late profound learning progresses for scene order in remote detecting pictures. This cycle gives a careful assessment of profound learning calculations for remote detecting picture scene grouping, which is vital given the field's fast advancement. The remote detecting scene is dissected utilizing the profound gaining calculation from the info remote detecting photos, and afterward the profound learning strategy is used. After the pictures have been all prepared, the profound learning strategy predicts the result utilizing exactness, accuracy, review, and F1-score. Keywords: Scene classification, Convolutional Neural Network (CNN), Remote Sensing (RS).
Foundational Literacy and Numeracy Goals
Authors: D R, Darshith
Published: May 2024

The concept of a teacher-parent app designed to advance foundational literacy and numeracy goals represents a pivotal advancement in supporting early childhood education. This abstract delves into the importance of such an application in fostering collaboration between educators and families to bolster children's learning experiences. By harnessing technology to facilitate communication, share educational materials, and monitor progress, the app acts as a conduit between the school and home settings. Through tailored learning plans, engaging activities, and timely feedback, it enables parents to actively participate in their child's academic development. Ultimately, the teacher-parent app not only enhances academic achievements but also cultivates a strong partnership between teachers and families, establishing a robust basis for continuous learning and success.
REVOLUTIONIZING HEALTHCARE THROUGH AUGMENTED REALITY INTEGRATION IN MEDICAL TRAINING
Authors: C Dr. Arjun B.
Published: May 2024

Through the transformation of conventional anatomy education techniques, the incorporation of augmented reality (AR) into medical training is revolutionising healthcare education. This creative method uses augmented reality (AR) tools, such as Microsoft® HoloLens II, to improve anatomy lab courses and give students a more engaging and dynamic learning environment. Medical schools can simplify anatomy instruction by using holograms to replicate human dissection. This allows students to study intricate anatomical structures in a step-by-step three-dimensional presentation. In addition to optimising the amount of time spent on dissection, this move towards AR-based learning creates new opportunities for remote and independent learning that meet the needs and preferences of a wide range of learners. Furthermore, the challenges that traditional cadaver-based anatomy instruction faces are addressed by integrating AR into medical education. AR offers a thorough and captivating learning environment because it can present anatomical material in different sequences, from superficial to deep structures, or by creating functional body units. Clinical correlations can be easily incorporated into lessons to improve students' comprehension and memorization of anatomy. The future of augmented reality (AR) in medical education appears bright, with potential breakthroughs in pathology, histology, and surgical applications, despite obstacles like realism constraints and technological complexity. Key Words: Augmented Reality (AR), Medical Training, Healthcare Education, Microsoft HoloLens, Anatomy Education, Validation Process
PERSEPSI APARATUR SIPIL NEGARA TERHADAP LINGKUNGAN KERJA DI KANTOR DISTIRK BORME KABUPATEN PEGUNUNGAN BINTANG
Authors: Saptowinarko Prasetyo Margo
Published: May 2024

Penelitian ini bertujuan untuk mengetahui bagaimana persepsi aparatur sipil negara terhadap lingkungan kerja di kantor Distirk Borme Kabupaten Pegunungan Bintang. Penelitian ini menggunakan analisa data kualitatif. Hasil penelitian menunjukkan bahwa ; 1) Persepsi Aparatur Sipil Negara terhadap lingkungan kerja dalam aspek penerangan/cahaya, sebanyak 55,6% Aparatur Sipil Negara menjawab kurang setuju berarti Aparatur Sipil Negara merasa tidak nyaman dengan penerangan yang ada, namun sebanyak 22,2% sangat setuju dan sebanyak 22,2% setuju. 2) Persepsi Aparatur Sipil Negara terhadap lingkungan kerja dalam aspek sirkulasi udara, sebanyak 50,0% Aparatur Sipil Negara menjawab kurang setuju berarti Aparatur Sipil Negara merasa tidak nyaman dengan sirkulasi udara, namun sebanyak 27,8% sangat setuju dan sebanyak 22,2% setuju. 3) Persepsi Aparatur Sipil Negara terhadap lingkungan kerja dalam aspek kebisingan, sebanyak 44,4% Aparatur Sipil Negara kurang setuju dan tidak setuju sebanyak 11,1% dalam hal ini berarti Aparatur Sipil Negara merasa tidak nyaman dengan kebisingan, namun sebanyak 16,7% sangat setuju dan sebanyak 27,8%  setuju.4) Persepsi Aparatur Sipil Negara terhadap lingkungan kerja dalam aspek bau tidak sedap, sebanyak 66,7% Aparatur Sipil Negara setuju dan 11,1% sangat setuju berarti Aparatur Sipil Negara merasa nyaman karena tidak adanya bau, namun sebanyak 22,2% kurang setuju. 5) Persepsi Aparatur Sipil Negara terhadap lingkungan kerja dalam aspek keamanan, sebanyak 61,7% Aparatur Sipil Negara setuju dan 27,8% Aparatur Sipil Negara setuju, berarti Aparatur Sipil Negara merasa nyaman karena merasa aman dalam bekerja, namun sebanyak 11,1% kurang setuju.
Pengaruh Word Of Mouth Marketing Dalam Meningkatkan Citra Perguruan Tinggi Swasta Di Jayapura
Authors: Lobubun Munawir
Published: May 2024

Tujuan Untuk mengetahui dan menganalisis Pengaruh Word of Mouth Marketing dapat meningkatkan Citra Perguruan Tinggi Swasta pada Sekolah Tinggi Ilmu Ekonomi Port Numbay Jayapura (Studi Kasus Mahasiswa Asrama Pemda Puncak Jaya. Teknik analisis regresi linear sederhana dan pengujian hipotesis dengan menggunakan SPSS versi 21. Hasil penelitian mengungkapkan bahwa word of mouth berpengaruh secara positif dan signifikan terhadap citra perguruan tinggi pada Sekolah Tinggi Ilmu Ekonomi Port Numbay Jayapura (Studi Kasus pada Mahasiswa Asrama Pemda Puncak Jaya Abepura).
Cryptocurrency Regulation in a Robust Market
Authors: Hoa To Van , Minh To Vu Nhat
Published: May 2024

Cryptocurrency Regulation in a Robust Market - The Vietnamese Approach

The Vietnamese market has consistently demonstrated impressive levels of grassroots adoption of cryptocurrencies and, therefore, is always a prospective market for cryptocurrency development. This is one of the driving factors behind the need for effective cryptocurrency regulation in the country, so that investors and consumers are properly protected. However, as is the case with all new elements of the economy, regulating cryptocurrencies is a delicate process of balancing between economic development and protection of parties with limited leverage. If laws are too strict, then the market momentum is stifled and an economic opportunity is missed. Conversely, if laws are too lax, then the market is poorly regulated and fraud may become widespread and cause severe damages. This article aims to demonstrate the overall Vietnamese position on cryptocurrency regulation, including how it is being executed and how it might be executed in the foreseeable future.
The Crypto Regime in India: A Confused Policy
Authors: Pundale Nivedita
Published: May 2024

The Crypto Regime in India: A Confused Policy

With the advancement of financial technology, cryptocurrencies have gained much traction globally. Their largely unregulated and decentralized nature has made them controversial and a topic of hot debate in most countries. Governments and financial institutions across the globe have recognized the significance of the new asset class in the markets and have observed the upsurge in exchanges in mainstream society. Its ever-increasing popularity has pushed governments to deliberate and implement policy decisions for their regulation. Currently, there exists no uniform international law pertaining to the regulation of cryptocurrency despite its cross-border trade. While some countries have affirmed its legality, others have remained silent or have imposed a ban. India has witnessed some interesting developments in its legislative, executive and judicial domains. From the imposition of a ban on services that facilitate the trade of virtual currencies to its subsequent retraction by the judiciary, the Indian spectators are left guessing the government’s next move. While a Draft Bill calling for the ban on cryptocurrency trading sits dormant in the Indian Parliament, crypto users continue to pay a hefty 30% tax on the profits from the sale or exchange of any crypto assets since its imposition in the Union Budget of 2022-2023. The legality of the cryptocurrency itself remains unsettled, and the country awaits a governmental policy decision on the same.
Wyoming’s DAO Statutes
Authors: Kashin Adam
Published: May 2024

Wyoming’s DAO Statutes - A Model for Wider Adoption

This article examines the first American statutes that address the legal organizational structure of decentralized autonomous organizations (DAOs). In 2021, the state of Wyoming folded the cryptocurrency-based organizations into the state’s definition of limited liability company (LLC), a legislative move that almost immediately drew widespread attention and criticism, while prompting the introduction of mirrored legislation in other states. This article addresses Wyoming’s novel statutory framework, securities regulation in this context, the practicality of treating DAOs as LLCs, and the first DAO organized under this statutory regime.