bluuebunny/crossref_metadata_2025 huggingface dataset:
TRANSFERÊNCIAS DE PACIENTES ADULTOS ENTRE HOSPITAIS DO MUNICÍPIO DE PELOTAS
Authors: Farezin Darlan Cleverson , Capuá Luísa Coelho , Azambuja Luísa Escalier de , Catto Vanessa Schiefelbein , Menezes Letícia Oliveira de , Cantarelli Gabriel Camacho , Halal Gilda Maria de Carvalho Abib El
Published: October 2024

INTRODUÇÃO As transferências de pacientes entre hospitais é uma prática rotineira no Sistema de Saúde Brasileiro, e possuem mecanismos protocolados para adequar a qualidade da assistência à saúde. A transparência dos mecanismos é essencial para compreender as adversidades que possam desafiar o processo de transferência inter-hospitalar. OBJETIVO Analisar e descrever como ocorre o fluxo de transferência de pacientes adultos entre hospitais de Pelotas. MÉTODO A partir de um estudo de caráter descritivo e exploratório, com abordagem qualitativa, baseado em entrevistas com profissionais da rede terciária de saúde, os integrantes da pesquisa promoveram coleta e análise de dados referentes às transferências de pacientes usuários do Sistema Único de Saúde (SUS) ou vinculados a Convênios de saúde. RESULTADOS As transferências possuem protocolos distintos a depender da designação do leito disponível para o reposicionamento de pacientes. Se a transferência é via SUS, os leitos não-cirúrgicos são regulados pela Central Reguladora de Leitos da Secretaria da Saúde do Município (SMS) e a equipe médica deverá comunicá-la para a realização do processo, se é via convênio de saúde, a comunicação é feita a partir do contato do médico solicitante da cessão com o órgão regulador da unidade de destino do paciente. Leitos reservados a procedimentos cirúrgicos não são regulados pela Central de Leitos, ainda que via SUS, sendo o contato realizado entre os médicos assistentes via telefônica. DISCUSSÃO Constatou-se que a movimentação e câmbio de pacientes entre hospitais de Pelotas é protocolado em cada instituição, porém não há padronização no repasse das informações clínicas do paciente entre as equipes médicas, o que por sua vez pode prolongar o tempo de permanência hospitalar e resultar em impacto financeiro ao SUS. CONCLUSÃO O sistema de transferência inter-hospitalar apresenta discrepâncias relacionadas aos processos normatizados pela SMS, ocorrendo, muitas vezes, problemas relacionados à coordenação do cuidado. Assim, ainda que ocorram trâmites administrativos visando ao acesso dos usuários, nem sempre a equidade em saúde prevalece. Portanto, a partir desse estudo, foi possível refletir que seria pertinente a criação de uma comissão entre os hospitais do município.
MICHEL FOUCAULT E A FORMAÇÃO DISCURSIVA ACERCA DA LOUCURA: UMA REVISÃO DE LITERATURA
Authors: Cândido Gustavo Gomes
Published: October 2024

The production of this article is the result of the theoretical maturation provoked by the readings of Foucaultian works. As a consequence, we measure the depth of knowledge of this philosopher who greatly contributed to several areas of knowledge, such as psychology, history, law, biomedicine, among others. In this sense, this study aims to analyze and understand the discursive formation about madness. To achieve this goal, we propose a literature review and focus our efforts on his main work on this topic: The history of madness in the classical age. We also consider articles, dissertations and theses related to the theme, contemplating our methodological design. We used the main search engines in our investigation: Scielo and Google Scholar. Our results point to three different discourses about madness in three different historical periods that Foucault called a condition of possibility. We conclude that, in the Middle Ages, the discourse of madness was based on demonic possession. Already in the classical age, it was understood by discursive formations as a form of error, a daydream. In the 18th century, with the modern age and the scientific contours of the time, madness came to be understood by the medical psychiatrist discourse as a mental illness.
ASPECTOS CLÍNICOS E TERAPÊUTICOS DA ESPOROTRICOSE FELINA: REVISÃO DE LITERATURA
Authors:   Pedro Enrique Navas Suárez, Silva Isabela dos Santos , Nascimento Isabella Castellani do , Almeida Izadora Nascimento , Lippelt Laura Ortega , Alves Talitha Martinez
Published: October 2024

Feline sporotrichosis is a subcutaneous mycosis caused by the fungus Sporothrix schenckii. The disease can range from isolated cutaneous lesions to severe and disseminated forms, mainly affecting adult male cats that are not neutered. The clinical aspects of feline sporotrichosis are explored, including the presentation of cutaneous lesions, respiratory signs, and systemic manifestations such as lethargy, anorexia, and fever. Treatment is detailed, emphasizing the importance of accurate diagnosis and the need for prolonged treatment, which can last weeks to months. Therapeutic options include potassium iodide, azoles (such as itraconazole and ketoconazole), terbinafine, and amphotericin B, as well as non-pharmacological measures such as thermotherapy, cryosurgery and surgical excision. The paper also discusses the combination of potassium iodide and itraconazole as an effective therapeutic option, as well as addressing recommendations for managing drug toxicity, indications for euthanasia in severe cases, and general recommendations for disease management and prevention. Finally, the persistence of sporotrichosis as a neglected disease in Brazil is highlighted, with the treatment of cats representing a continuous and longterm challenge.
INTERNET DAS COISAS E PRIVACIDADE DE DADOS
Authors: Abdo Bianca Maria Marinoni
Published: October 2024

A Internet das Coisas (IoT) transformou a interação do ser humano com o mundo, possibilitando o desenvolvimento de soluções práticas em diversas áreas. Contudo, a coleta massiva de dados pessoais necessário ao desempenho das funções dos dispositivos inteligentes suscita preocupações sobre privacidade e segurança dos dados. Por meio da metodologia qualitativa, busca-se analisar o ordenamento jurídico brasileiro, especialmente a Lei Geral de Proteção de Dados, para verificar de que maneira o Direito pode atuar no enfrentamento aos desafios promovidos pelos avanços tecnológicos. Conclui-se, portanto, que é necessário estabelecer normativas específicas às novas tecnologias que não tenham o condão de impedir o livre desenvolvimento, mas assegurem os direitos de personalidade no que diz a privacidade e segurança das informações.
LEITURA E ESCRITA NA PERSPECTIVA DA ALFABETIZAÇÃO E DO LETRAMENTO: DESAFIOS E CONTEXTOS
Authors: Lacerda Vanessa do Carmo Rodrigues , Mendes Sandra Karina Barbosa
Published: October 2024

O presente estudo propõe-se analisar a aprendizagem da leitura e da escrita na perspectiva da alfabetização e do letramento, destacando sua importância para o desenvolvimento cognitivo e social dos alunos, bem como o domínio das habilidades de leitura e escrita em diferentes contextos e situações. Para tanto, institui-se os seguintes objetivos específicos: investigar a importância da leitura e da escrita no processo de alfabetização e letramento, considerando seu papel na formação de sujeitos críticos e autônomos; analisar como o letramento influencia o domínio das habilidades de leitura e escrita em diferentes contextos sociais e educacionais e discutir as estratégias pedagógicas mais eficazes para promover a alfabetização e o letramento de forma integrada, garantindo o desenvolvimento pleno das habilidades de leitura e escrita.  A construção metodológica deste trabalho tem como base uma pesquisa bibliográfica, de abordagem qualitativa, com foco nos estudos de Ferreiro; Teberosky (1986), Soares (2004), Freire (1989), dentre outros que destacam a relevância da leitura e da escrita como ferramentas essenciais para o desenvolvimento escolar no ensino fundamental. Os dados da pesquisa demonstram que a leitura e a escrita são processos interdependentes, cuja eficácia depende de estratégias pedagógicas que levem em consideração o contexto social dos alunos. Nestes termos, a conclusão aponta que a aprendizagem da leitura e da escrita, integrada à alfabetização e letramento, é essencial para formar indivíduos críticos e autônomos.
DESAFIOS E SUCESSOS EM INTERVENÇÕES EDUCACIONAIS PARA ESTUDANTES COM AUTISMO E ALTAS HABILIDADES
Authors: Hugo Aline Gisleide , Martoni Kelly Cristina , Andreato Lilian Nogueira Breda , Simas Michelle Carolina Lopes
Published: October 2024

Este estudo analisa as intervenções educacionais para alunos com autismo e altas habilidades, focando nos métodos e resultados dessas práticas. A problemática consiste em entender como as estratégias educacionais específicas influenciam o desenvolvimento acadêmico e social desses alunos. Esta questão se justifica pela necessidade de proporcionar um ensino de qualidade e inclusivo que atenda às características únicas desses indivíduos. O objetivo central deste estudo é identificar e discutir as abordagens pedagógicas mais eficazes, avaliando os impactos das intervenções educacionais no desenvolvimento dos alunos. Para isso, foi realizada uma revisão bibliográfica abrangente, com levantamento de fontes relevantes como artigos científicos, livros e periódicos especializados. A análise demonstrou que métodos como a diferenciação curricular, programas de enriquecimento, aceleração, aprendizagem baseada em projetos, tecnologias educacionais, mentorias, ensino colaborativo e avaliação contínua são eficazes para atender às necessidades desses alunos. Conclui-se que a implementação de estratégias personalizadas e integradas é essencial para maximizar o potencial dos alunos com autismo e altas habilidades, promovendo um desenvolvimento acadêmico e socioemocional equilibrado.
SÍNDROME DE DOWN: FORMAÇÃO DE PROFESSORES E ESTRATÉGIAS PEDAGÓGICAS
Authors: Graf Lucimar , Santos Roberta Farias dos , Kimura Débora da Paz Maciel , Gomes Adriana Martini Moreira , Farias Sueli Cirilo , Oliveira Silvan Amaro , Santos Valéria Ribeiro Rosa dos , Santos Endrigo Farias dos
Published: October 2024

O objetivo deste estudo é analisar a Síndrome de Down, com ênfase em suas implicações no desenvolvimento cognitivo, físico e social, além de explorar práticas educacionais inclusivas que promovam a autonomia e o desenvolvimento integral de indivíduos com essa condição. No âmbito dos objetivos específicos, busca-se identificar as características físicas e cognitivas associadas à Síndrome de Down, contextualizar a formação de professores voltada para essa realidade e demonstrar estratégias pedagógicas eficazes para o ensino de alunos com Síndrome de Down. A pergunta-problema que norteia o estudo é: quais são os principais desafios enfrentados por pessoas com Síndrome de Down no contexto educacional e social, e de que forma a inclusão e o apoio familiar podem contribuir para o desenvolvimento e a qualidade de vida desses indivíduos? A justificativa para a realização deste trabalho reside na necessidade de aprofundar o conhecimento sobre a Síndrome de Down, considerando sua alta prevalência global e os desafios que impõe tanto às famílias quanto aos educadores e profissionais de saúde. A metodologia adotada foi bibliográfica, com pesquisa em livros, artigos científicos e outros materiais relevantes, possibilitando uma análise crítica e fundamentada. O estudo ressalta a importância das práticas pedagógicas inclusivas e a demanda crescente por formação docente especializada, visando atender às necessidades de alunos com essa condição de forma eficaz. Essa pesquisa tem grande relevância por contribuir para o aprimoramento das políticas educacionais inclusivas, promovendo uma sociedade mais justa e equitativa. Ao enfatizar o papel da educação adaptada e da participação ativa da família, o estudo oferece subsídios valiosos para a melhoria da qualidade de vida e para o fortalecimento da autonomia das pessoas com Síndrome de Down, integrando-as de maneira mais eficaz na sociedade.
A ATUAÇÃO DO FARMACÊUTICO NA ORIENTAÇÃO DO DESCARTE CORRETO DE MEDICAMENTOS NO USO DOMICILIAR
Authors: Mendes Robson Alves , Pugliese Fabiana , Guimarães Leonardo
Published: October 2024

The study investigates the role of pharmacists in providing guidance on the correct disposal of medications in homes, aiming to minimize environmental impacts and ensure community safety. The methodology used is a qualitative literature review, based on academic articles and official documents, which addresses the role of pharmacists in raising awareness about safe disposal practices. The development of the work highlights the importance of pharmaceutical guidance in preventing environmental contamination by incorrectly discarded medications, emphasizing the use of strategies such as educational campaigns, collection points, and digital tools to reinforce patient adherence to appropriate disposal practices. The conclusion reinforces that pharmacists play a central role in promoting safe disposal practices, collaborating with pharmacies, health agencies, and communities to implement effective policies. In addition, the study points to the need for a joint effort to consolidate a culture of shared responsibility, protecting public health and the environment.
UM ESTUDO DE CASO SOBRE A QUALIDADE DE VIDA NO EXERCÍCIO DO TRABALHO POLICIAL
Authors: Possobam Reginaldo
Published: October 2024

In this article, we sought to investigate the perception of military police officers regarding the quality of life in the professional context in which they carry out their activities and what possible impacts they may feel on their personal lives. For this, a data survey was used through a structured questionnaire applied online with military police officers from the 8th Independent Military Police Company (8th CIPM), based on the QWL analysis model of Walton’s eight dimensions (1973). Questionnaires were administered 80 police officers. As a result, based on the interviewees’ answers to the questions present in the questionnaire, it was found that the absence of a defined working day reflects on the quality of personal life, as many are unable to enjoy leisure with their family and added to this, we have the relatively stressful and high-risk environment of their functions, which directly affect the issue of quality of life when carrying out their functions.
SOFTWARE DENTAL OFFICE: SEGURANÇA E ARMAZENAMENTO DE DADOS EM CLÍNICAS ODONTOLÓGICAS
Authors: Botelho Debora Noeme Da Silva , Pereira Herivânia Gonçalves , Luiz Lorrany Gonçalves , Silva Marília Gomes , Lima Mírian Celerino Dos Anjos , Anjos Noemi Celerino Dos , Carneiro Pedro Henrique Leal , Ribeiro João Vittor Santos , Barbosa Lorraine Cristina Pereira
Published: October 2024

Dental Office Software aims to organize and speed up the majority of services at the Dental Office, which is why it is important to use a system to control a company’s movements so that everything can be computerized, modern, better controlled and organized, making day-to-day life easier. day of the clinics. The objective of this work is to present the tools that the Dental Office application has for managing the Novos Ventos Dental Clinic at Faculdade Serra Dourada in Altamira-Pa, with an emphasis on the importance of digital security, protection of patient information, including compliance with the LGPD. 36 students from the dentistry course at Serra Dourada College who are between the 4th and 10th period participated in the research. The implementation of the same for the dental clinic will bring agility, security, greater storage capacity since the system was considered complete and suitable for the routine in the school clinic.
PROPOSTA DA UTILIZAÇÃO DO SILICONE NA IMPRESSÃO 3D
Authors: FREITAS, Anne Karoline , BETIOL, Eliza , BAÚ, Rosana Zanetti
Published: October 2024

RESUMO. O artigo apresenta uma proposta de utilização do silicone na impressão 3D por extrusão, amplamente utilizada em diversos setores industriais com o objetivo de investigar o potencial desse material na criação de produtos maleáveis e inovadores. Através de uma pesquisa bibliográfica e análise de estudos publicados, foi possível compreender as propriedades físicas e químicas do silicone aplicadas à impressão 3D, bem como suas possíveis contribuições para o avanço da tecnologia de manufatura aditiva. Os resultados da pesquisa indicaram que o uso do silicone na impressão 3D pode trazer diversas vantagens permitindo a fabricação de produtos mais resistentes durante o processo de extrusão com maior fluidez, retornando a sua viscosidade original na criação de estruturas mais uniformes, além de permitir a produção de peças mais complexas e detalhadas. Além disso, o silicone é um material biocompatível e seguro para uso em contato com a pele humana, o que o torna ideal para a criação de dispositivos médicos, como as próteses, componentes estruturais complexos na área da engenharia e outros setores industriais. Conclui-se que a utilização do silicone na impressão 3D pode trazer benefícios significativos para diversos setores industriais e de design e que essa tecnologia inovadora tem um grande potencial para revolucionar a forma como os produtos são criados e fabricados.
Enhancing Security in Digital Payments: A Comparative Evaluation of Machine Learning Models for Credit Card Fraud Detection
Authors: Bin Sulaiman Rejwan , Aljaidi Mohammad , A. Alsuwaylimi Amjad , Butt Usman , HasanTalukder Md. Simul , Sadia Alam Syeda , Farhan Maruf , Ranjon Das Sanjoy , Alam Md Wahidul
Published: October 2024

Nowadays, credit card transactions are exponentially increasing as a form of online payment. That creates technical pressure on the financial institution to incur losses due to credit card fraud. It is no wonder that credit card fraud is making people feel insecure and unsafe about using the services provided by banks. Data mining reasons on offline and online transactions can cause fraud detection. Number one is the changes in the behaviour of the frauds that are changing, and number two is the fraudulent dataset, which is asymmetric. In addition, the variables and techniques used by the researcher can impact fraud detection activities for credit cards. Therefore, the paper intends to investigate the suitability of the k-nearest-neighbour, decision tree, support vector machine, logistic regression, and Catboost. The data set has a total of 284807 transactions coming from the European credit card holder. Evaluation of the performance can be measured through the specificity, accuracy, sensitivity, precision, and lastly, the recall rate. After completing the comprehensive cross-validation, it was discovered that the catboost’s accuracy was extraordinary, which amounted to 93.39%, leaving the other classification matrix far behind.
Unlocking Multilingual Communication: Exploring the Potential of a Chat Application
Authors: Avinash M. , Pranav H. Sai , Kesav S. Hem , Akter Khusba Tahmina , Paramasivan P.
Published: October 2024

Language barriers limit cross-cultural communication and collaboration in an increasingly interconnected world. Innovative multilingual chat apps use cutting-edge technologies to bridge language gaps and stimulate meaningful connections. This abstract describes a complicated multilingual chat application leveraging the MERN stack and AWS Translation services to revolutionize digital cross-cultural communication. Real-time translation in multilingual chat apps solves the problems. These algorithms recognize cross-linguistic interactions to provide inclusive digital environments where individuals of different languages can converse. Multilingual chat apps need MERN. React, Node.js, MongoDB, and Express.js provide a complete real-time communications platform. MongoDB scales, while Express.js and Node.js optimize server-side tasks. Multilingual interfaces are responsive to React’s declarative components. The final section addresses AWS Translation and multilingual chat app integration. Neural machine translation specialist AWS Translation delivers real-time translation across several languages. AWS Translation enables multilingual communication with precise, contextually relevant translations using powerful machine learning techniques. Finally, the abstract discusses how multilingual chat apps will change global communication. These apps foster cross-cultural understanding and worldwide cooperation. Developers aspire to create inclusive digital environments that celebrate language diversity and promote cross-cultural engagement utilizing technology and innovation.
Boys’ Love (BL) Drama Series Review System for Opinion Mining with Sentiment Analysis
Authors: Thet Aung Thet , Paw Sharo , Khaung Tin Hlaing Htake
Published: October 2024

This research portrays same-gender relationships in media, specifically through the drama series of BL (Boys’ Love) and GL (Girls’ Love). Entertainment companies from Thailand, Taiwan, South Korea, Japan, and Vietnam are prominent producers of these series for the global market. While Thai BL dramas have been produced since 2014, they achieved significant popularity and recognition starting in 2017. The proposed system collects user review comments on the BL drama series produced by four countries from 2014 to June 2023. These reviews are compiled into a dataset named H/BL page via Facebook. The dataset comprises 276 series collected from two websites: Dramatist and BLWatcher. Sentiment analysis is utilized to classify user opinions and emotions related to these BL drama series. This technique identifies phrases and emotions within the text, categorizing them as objective (factual), positive (indicating happiness and satisfaction), or negative (indicating unhappiness, disappointment, or rejection) using the Information Gain (IG) method. The system aims to classify opinions on BL drama series and assess public sentiment towards same-gender love.
Revolutionizing Cloud Security: Innovative Approaches for Safeguarding Data Integrity
Authors: Renjith E. Jeslin
Published: October 2024

Cloud computing uses third-party servers or private clouds to provide online services and on-demand enterprise resource access. Microsoft Azure, Amazon, IBM, and Google Apps allow customers to design and run cloud-based apps from anywhere. These cloud services store and retrieve data from faraway servers, highlighting the importance of security due to internet data transfer. Before using cloud computing, firms must handle security issues. Pay-per-use, self-service, and scalability make the model popular in banking, healthcare, retail, education, manufacturing, and business. Pay-per-use models let users use servers, networks, storage, services, and applications without buying them. Limited data control can result in account service issues, traffic hijacking, insecure APIs, malicious insiders, technology sharing issues, and multi-tenancy data failures. Continuous research and development improve security and user confidence. This paper provides a framework for understanding cloud computing, identifies security dangers and research issues, and emphasizes its relevance in major industries. It also recommends cloud security innovations and assesses worldwide data protection policies to improve data security and reduce risks. Cloud-stored data is vulnerable to programs with security weaknesses, notwithstanding its benefits. If the guest OS’s security is unreliable, virtualization on a hypervisor may expose data to attacks. Additionally, data security vulnerabilities in transit and at rest will be addressed.
Uniting Quantum Computing and Artificial Intelligence: Exploring New Frontiers
Authors: Hullurappa Muniraju
Published: October 2024

Two powerful technologies, quantum computing and artificial intelligence (AI), can potentially disrupt sectors and solve some of society’s greatest problems in practically every industry. A study on how quantum computing and AI can work together. We seek to provide a comprehensive literature review encompassing key contributions and problems from both domains. The AI mission’s unique quantum computing strategy and how quantum algorithms can be used to slave for machine learning models and high-speed, sophisticated, accepted handling are explained. Quantum Computing has been shown to improve AI performance, efficiency, turnaround time, and problem-solving capacities. The research continues by considering what this means for quantum computing in AI, where transformational potential may exist, and where AI work currently limits quantum computing’s use. We also explore future research paths, emphasizing the need for interdisciplinary collaboration to properly utilize those technologies and overcome obstacles. This study should be a foundation for future research and discovery at the interface of quantum computing and AI, leading to ground-breaking applications and results.
Online Based Learning System (E-Learning) as Distance Learning Method Solutions: A Literature Review
Authors: Dwi Lestari , Kinasih Salsabila S , Supratikta Hadi
Published: October 2024

Purpose – This study aims to identify critical success factors influencing the effectiveness of e-learning systems in Indonesia. It examines the advantages of e-learning, such as flexibility and affordability, as well as challenges like the digital divide and varying digital skills. By reviewing literature from diverse sources, the research underscores e-learning's potential as a distance learning solution, emphasizing the need for educational institutions to address challenges to maximize its effectiveness in Indonesian educational settings.
Methodology/approach This study employs a literature review method to identify critical success factors affecting the efficacy of e-learning systems in Indonesia. Data is gathered from scientific journals, books, and research reports to analyze the advantages (flexibility, affordability) and challenges (digital divide, varying digital skills) associated with e-learning.
Findings The research results show that e-learning has several advantages as a distance learning solution, such as flexibility, accessibility, interactivity and affordability. However, e-learning also has several challenges, such as the digital divide, differences in digital skills, and learning motivation.
Novelty/value This study contributes novel insights by specifically examining the factors influencing the effectiveness of e-learning systems within the Indonesian educational context. Unlike broader studies, it focuses on the unique challenges and opportunities present in Indonesia, including the impact of the digital divide, varying levels of digital skills among learners, and specific strategies for enhancing learner engagement and motivation. By conducting a comprehensive literature review drawing from scientific journals, books, and research reports, the study consolidates existing knowledge and identifies gaps that are crucial for informing policy and practice
Analysis of Knowledge Management and Total Quality Management Implementation: A Study on Indonesian Small and Medium Enterprises
Authors: Ainin Roy Qurrotu , Ningrum Dinda Fitria
Published: October 2024

This study deals specifically with analyzing the implementation of Knowledge Management (KM) and Total Quality Management (TQM) in Small and Medium Enterprises (SMEs) in Indonesia. The purpose is to analyze the implementation of KM Elements and TQM Practices in SMEs in Indonesia and identify the challenges faced by SMEs in Indonesia in implementing TQM and KM. This article is based on information about SMEs in Indonesia that are recorded in the digital ecosystem of 27 million in December 2023. . The primary and secondary data collected were analyzed using content analysis techniques with a qualitative approach. The results show that the most applied Knowledge Management Elements (KME) are "Knowledge Application" and "Knowledge Acquisition" and the most applied Integrated Quality Management (TQMP) practices by SMEs in Indonesia are "Continuous Improvement". Keywords Total Quality Management, Knowledge Management, TQM practices, KM elements, Indonesian  Small and Medium Enterprises
Comparative Analysis of Management System Information Systems in E-learning: A Study of Indonesia and Untied States
Authors: Setiawanti Nadya Aisya , Mudrika A. , Supratikta Hadi
Published: October 2024

This study compares the implementation and effectiveness of Management Information Systems (MIS) in e-learning between Indonesia and the United States, aiming to identify unique challenges and opportunities in each country.
A qualitative approach, including a systematic review of academic literature and industry publications, was used to conduct a comparative analysis of e-learning MIS in both countries.
The United States benefits from advanced technological infrastructure and high digital literacy, facilitating effective MIS implementation in e-learning. Indonesia, while facing challenges like limited internet connectivity and varying digital literacy, is making progress through initiatives like Rumah Belajar and Google Classroom.
This study highlights best practices from the U.S. and adaptive strategies from Indonesia, offering valuable insights for improving e-learning systems globally. It emphasizes the importance of collaboration and knowledge sharing to overcome infrastructural barriers and enhance digital literacy in developing nations.
Comparative Study of Management Information Systems in Cement Companies in Southeast Nigeria, South Sulawesi, Kenya
Authors: Ayunda Ajenk , Hakim Nur , Supratikta Hadi
Published: October 2024

This study explores the impact of Management Information Systems (MIS) and technological innovations on the performance of cement manufacturing firms in Southeast Nigeria, South Sulawesi, and Kenya.
This study examines the use of management information systems in the cement industries of Southeast Nigeria, South Sulawesi, and Kenya using a literature review methodology.
Through a comprehensive literature review of three key journals, the findings reveal a significant positive correlation between the use of decision support systems, transaction processing systems, and executive support systems, and the enhancement of corporate performance. In Southeast Nigeria, these systems increased firm performance by 0.321, 0.496, and 0.501 respectively. Impact of information technology on agency capacity in the cement industry in South Sulawesi. The effect of information technology on body skills is 0.267 and p-value 0.025, it has a significant effect on the statement, which proves that information technology has a direct effect on the body. They have the ability to support movement. In Kenya, the adoption of strategic and technological innovations notably improved sales volumes, operational efficiency, and cost reduction, with a mean aggregate score of 4.12 from surveyed department heads.
The findings underscore the importance of strategic innovations tailored to specific industry needs and the necessity of training programs to equip employees with essential technical skills. This research provides actionable insights for cement firms aiming to enhance their competitive edge and achieve sustainable growth in a dynamic global market.
Analyzing the Impact of Artificial intelligence (AI) on Decision-Making Strategies
Authors: Al Qadiri Walian Maimun , Alkaf M. , Supratikta Hadi
Published: October 2024

Artificial Intelligence (AI) has become a major driver of change in various areas of human life, including in the development of Decision Support Systems (DSS). AI, as a rapidly growing branch of computer science, has changed the paradigm in how we process and analyze data to support the decision-making process. With its ability to learn from data, identify patterns, and make predictions, AI promises significant advances in the efficiency and accuracy of decision-making integrated in SDM. The application of AI in Human Resources has become a major topic in academic and industrial literature. The use of this technology has resulted in significant impacts, ranging from improved efficiency of the decision-making process to a paradigm shift in data analysis. Primarily, the main focus of AI application in SDM is on its ability to address the complexity and uncertainty of data faced by decision makers. the application of AI to SIM offers significant advantages in strategic decision-making This finding highlights the need for organizations to consider the appropriate use of AI, maintain data security, and monitor organizations to consider the appropriate use of AI, maintain data security, and monitor its impact to gain a competitive advantage in strategic decision-making. The findings highlight the need for organizations to consider the appropriate use of AI, maintain data security, and monitor its impact to gain a competitive advantage in making strategic decisions
The Influence of Content Marketing on Purchase Intention Through the Mediation of Customer Engagement Among TikTok Followers
Authors: Febrianti Dhea , Purwaamijaya Btari M , Prehanto Adi
Published: October 2024

The purpose of this study is to examine the influence of content marketing on purchase intention through the mediation of customer engagement among TikTok followers of @Dentarajut. The research aims to fill the gap in existing literature by focusing on the specific impacts of content marketing strategies on customer engagement and purchase intentions in the context of TikTok.
This research employs a quantitative approach, utilizing a Likert scale survey to collect data from 396 respondents who follow @Dentarajut on TikTok. The data is analyzed using SmartPLS to assess the relationships between content marketing, customer engagement, and purchase intention.
The findings indicate that content marketing significantly influences customer engagement, which in turn, mediates the relationship between content marketing and purchase intention. The results suggest that effective content marketing strategies on TikTok can enhance customer engagement, leading to higher purchase intentions among followers.
This study offers novelty by integrating the analysis of content marketing, customer engagement, and purchase intention specifically on the TikTok platform. It provides new insights for brands on optimizing their content marketing strategies to improve customer engagement and drive purchase intentions, particularly in the underexplored context of TikTok marketing
TikTok Live Streaming Strategy for Msmes in Tasikmalaya to Increase Sales
Authors: Pertiwi Hani , Maesaroh Syti Sarah
Published: October 2024

This research aims to analyze and supplement the live streaming strategies that have not yet been implemented at Lalada Food. Additionally, this study evaluates the impact of the closure and reopening of TikTok Shop on live streaming strategies and proposes new strategies to increase sales and address the challenges arising from these changes.
This research uses a qualitative approach focusing on in-depth observation. SWOT analysis is used to identify the strengths, weaknesses, opportunities, and threats faced by Lalada Food in conducting live streaming.
The company occupies a position in quadrant II of the SWOT analysis, which represents a situation where the company's strengths are greater than its weaknesses, but opportunities are smaller than threats. Therefore, the company is in a strong position but faces significant challenges. The strategy used in this quadrant is the diversification strategy.
This research is the first to analyze the implementation of live streaming strategies following the closure and reopening of TikTok Shop. This study provides new insights into their marketing strategies through live streaming to increase sales and address business challenges
IoT-BASED ROBOTIC SYSTEMS INTEGRATING ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE CROP PROTECTION IN AGRICULTURE
Authors: R KRISHNAMOORTHY , C MANOJKUMAR
Published: October 2024

Advancements in technology, including the Internet of Things (IoT) and Artificial Intelligence (AI), greatly impact agriculture. The study investigates the statistical applications of AI-driven robotic devices based on the IoT as a basic emphasis. Using manual effort and chemical fertilizers, traditional farming can be highly attributed to inefficiency, health problems and environmental effects. The paper proposes an AgriBotIQ, a revolutionary platform that uses robotics based on IoT to monitor and analyse with accurate participation in plant management. Autonomous robots can collect information based on plants and their habitats by using imaging devices and sensors like soil moisture, humidity, temperature, and many others. Machine learning (ML) algorithms search the database for anomaly detection, threats, and crop trends. To identify the crops that are diseased or healthy, ML is integrated with computer vision. The suggested AgriBotIQ also eliminated weeds, boosting the output by neglecting unneeded waste and chemicals. The emerging IoTs have allowed better remote plant monitoring in more versatile and précised. Overall productivity and protection of crops are possible by statistical analysis and real-time notifications of the proactive decisionmaking outcomes. By combining IoT and AI, the future agricultural crop security will improve greatly.
Transparent Encryption for External Storage Media with Mobile-Compatible Key Management by Crypto Ciphershield
Authors: S RAJU , D SINDHUJA
Published: October 2024

Evidently, there is a widespread adoption of external storage devices in contemporary situations, including USB sticks, SD cards, and flash memory devices. If, on the other hand, these devices are misplaced or lost, the presence of sensitive data on them can provide a potential security risk. The currently available encryption solutions frequently have usability issues, which necessitate that users continually input keys or login credentials across a variety of portable devices. The study offers a solution that overcomes these difficulties by integrating key caching with time-delayed deletion within the MobileShielded Encryption Framework (MoSEF). This method is our reaction to the problem. There are two distinct iterations of this idea that we have developed. The initial version, which functions flawlessly even in the absence of deliberate user intervention, achieves this by restricting the use of external storage to only temporary data transfers.Within the file system, the second variant makes it possible to handle numerous encryption keys for different files. This is made possible by a trusted host on the file system. By eliminating the need to share keys or passwords, timed key caching significantly improves both the level of security and the level of usability of a system. In addition to ensuring interoperability with mobile devices, our solution, which is incorporated within the MoSEF architecture, provides plaintext encryption for external storage media. To reduce the likelihood of data breaches and illegal access, this strategy offers users a mechanism that is both convenient and safe for managing sensitive data when they are on the move.
Combining A Hybrid Genetic Algorithm with A Fuzzy Logic Classifier Enhances Heart Disease Diagnosis
Authors: S KOKILA , S PRAVEENA
Published: October 2024

Because cardio illness has a significant impact on death rates worldwide, diagnosing heart disease is an essential field of healthcare. The study proposes a unique method, the HDD-GA-FL model, to enhance Heart Disease Diagnosis (HDD) that combines a hybrid genetic algorithm (GA) along with a fuzzy logic classifier (FL). The suggested hybrid system aims to overcome the difficulties brought on by the intricacy and ambiguity involved in diagnosing cardiac disease. Fuzzy logic classifiers are used to analyze ambiguous medical data, while genetic algorithms are used for choosing features and optimization. Combining these two methods provides a strong foundation for precise and effective diagnosis. Experiments on an extensive dataset with different clinical factors and cases of heart disease are conducted to assess the efficacy of the hybrid strategy. Compared to conventional diagnostic techniques, there have been significant improvements in diagnostic reliability and accuracy. When navigating the complex feature space involved in diagnosing heart illness, the combination of GA and FLC performs better than alone. It can capture minute associations and trends in the data. The suggested hybrid system has great potential for real-world application in clinical settings, providing doctors with an invaluable instrument for accurately diagnosing and detecting cardiac problems early on. This method advances the latest developments in cardiac healthcare by utilizing the complementary strengths of fuzzy logic classifiers and genetic algorithms, eventually improving patient outcomes and lowering healthcare costs.
Explainable Prediction Technique for Analyzing Information Disorder Using Fuzzy Rough Sets
Authors: S Udhayashankar , P Muniasamy
Published: October 2024

A persistent challenge in the domain of social media pertains to the comprehension and representation of information disorder incidents, which include but are not limited to erroneous information, theories of conspiracy, and racial discrimination. These issues frequently become apparent in the written content of posts that are shared on networking platforms and multiple sites. The complexity of information disorder research stems from the wide range of internet epidemic genres and the diverse effects that such information can have on people. Furthermore, the difficulty is exacerbated by the emergence of generative AI models that are capable of generating information that is difficult to identify as synthetic. The findings can assist analysts and decision-makers in acquiring a more in-depth comprehension of the phenomenon occurring in the field of information disorder. Hence, Information Disorder Prediction using Fuzzy Rough Set (IDP-FRS) has been proposed to predict the disinformation in the collected domain accurately and identify fake and real information. Through the incorporation of fuzzy sets of data into modelling and prediction techniques, the research improves the accuracy and interpretability of models, hence facilitating the discovery of disinformation in a more trustworthy manner. Moreover, the introduction of explainable prediction approaches gives users the ability to make educated choices concerning the appropriateness and dissemination of information, which in turn promotes openness and confidence in predictive models.
Innovative Resource Distribution Through Multi-Agent Supply Chain Scheduling Leveraging Honey Bee Optimization Techniques
Authors: Almusawi Abdulameer , S Pugazhenthi
Published: October 2024

Many people and things involved in the supply chain can be represented by a network of linked agents in a multi-agent system. To achieve distribution and manufacturing targets efficiently, actions in a supply chain must be scheduled by tracking and organizing the allocation of resources. Healthcare, energy, aerospace, agriculture, and manufacturing are some of the industries that make use of it to better allocate and coordinate resources in complex networks. The goal of multi-agent supply chains is to lower costs and meet demand in dynamic contexts through efficient resource allocation and planning. Traditional approaches, such as linear programming and heuristic algorithmic approaches, have problems with adaptation and scalability. This study offers a novel scheduling method, Resource Distribution by Honey Bee Optimization (RDHBO), to circumvent these issues. It is based on a tactic that the honey bee uses when foraging. In this model, scout bees and foragers take on the role of actors, investigating and making the most of potential new ways to divide up resources by employing HBO strategies. The foraging agents look for places that have been profitable in the past, and the scouting agents carefully examine the supply chain to find places where resources might be available. The proposed RDHBO architecture allows for better supply chain scheduling by encouraging effective utilization and investigation, better communication, dynamic adaptability, autonomous decision-making, and efficiency of complicated systems. This method leads to an adaptable supply chain, lower operational costs, and more scalability and adaptability. This paper presents a formidable alternative to conventional optimization methods by demonstrating an efficient approach to dealing with complicated supply chain challenges.
Revolutionizing Agritech with Deep Learning-Enhanced Remote Sensing for Precision Agricultural Management
Authors: Haider Hudsein , B Lavanya
Published: October 2024

A new method of farm management that makes use of cutting-edge information technology is known as precision agriculture management. By reducing the waste of water, fertilizers, pesticides, fuel, and other types of agricultural inputs, as well as by optimizing agrarian income and limiting adverse effects on the environment, precision agriculture management seeks to boost agricultural output and quality. Traditional agricultural management methods often lead to inefficient use of resources, higher environmental impacts, and decreased crop yields. Finding efficient, scalable, and accurate ways to track important agricultural variables over large regions is a huge challenge. This paper proposes a new framework called ARS-DLConvNN to handle these issues and enhance the management of agritech and precise agriculture. This framework Integrates High-Resolution Agricultural Remote Sensing (ARS) data and Deep Learning (DL) methods like Convolutional Neural Networks (ConvNN). This approach uses Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) network specifically designed to handle hyperspectral data collected from UAVs and multi-spectral satellite photos. These algorithms can assess crop stress in real-time, provide recommendations on effectively managing water, fertilizer, and insects, and learn to estimate weight and yield. It will be quite easy to see how the proposed method improves agriculture management effectiveness and harvest yields. Improved agricultural management efficiency and crop production were striking when using the suggested deep-learning remote sensing system. On average, crop yields increased by 18% compared to traditional methods, according to field trials in various locations. decrease output. With a 92% success rate in detecting crop illnesses early and an 89% success rate in forecasting water stress, the model allowed for prompt treatments.
EFL University Instructors' Perspectives on Social Media's Influence on Student Writing Skill
Authors: Dr. Awmnia Samir Eassa Ahmed
Published: October 2024

In the digital age, social media has become an integral part of daily life exerting a significant influence on various aspects of our society including education. This study investigates the impact of social media on the writing skills of students learning English as a Foreign Language (EFL) at universities in Saudi Arabia. The research focuses on the perspectives of EFL instructors regarding how social media platforms, such as Facebook, Twitter, and Instagram, affect students' writing abilities. A quantitative research design was employed, using a descriptive-analytical approach with a questionnaire distributed to 100 EFL instructors from various universities. The study's findings suggest that social media can enhance student motivation, provide diverse opportunities for writing practice, and foster creativity. However, it also reveals challenges related to the informal nature of social media communication, which can negatively affect adherence to formal academic writing standards. A significant majority of respondents acknowledged the positive effects of social media in enhancing engagement and writing quality through interactive activities and peer feedback. Nevertheless, concerns were raised about the potential promotion of informal writing styles and the need for targeted teacher training to mitigate these challenges. The study concludes by emphasising the importance of balanced integration of social media into the curriculum, suggesting that educators receive specific training to leverage its benefits while addressing its limitations. This research contributes to understanding the role of social media in shaping language proficiency among EFL learners and offers insights into developing effective teaching strategies that align with contemporary digital trends.