bluuebunny/crossref_metadata_2025 huggingface dataset:
Pemahaman Relasional Peserta Didik pada Mata Pelajaran Matematika Sekolah Dasar
Authors: Mytra Prima , Natalis Christi Sabinus Rainer
Published: November 2024

Penelitian ini bertujuan untuk memberikan informasi kepada guru bahwa penting untuk  mengidentifikasi pemahaman relasional peserta didik dalam mata pelajaran matematika di tingkat Sekolah Dasar (SD). Pemahaman relasional mengacu pada kemampuan siswa dalam mengaitkan berbagai konsep matematika dan memahaminya secara mendalam, bukan sekadar menghafal prosedur. Penelitian menggunakan metode kualitatif deskriptif, dengan teknik pengumpulan data melalui observasi, wawancara, dan dokumentasi. Hasil penelitian menunjukkan bahwa setiap siswa memiliki kemampuan yang berbeda dalam memahami konsep-konsep matematika. Guru diharapkan mampu mengidentifikasi kemampuan tersebut dan menerapkan strategi pengajaran yang sesuai untuk mendukung pengembangan pemahaman relasional siswa
Penerapan Media WordWall Untuk Meningkatkan Hasil Belajar Siswa Mata Pelajaran Matematika kelas V SD
Authors: Asmiati Asmiati , Kasman Muh. Ridha , Amaliah Fitrih
Published: November 2024

Penelitian bertujuan untuk mengetahui Penerapan Media WordWall Untuk Meningkatkan Hasil Belajar Siswa Mata Pelajaran Matematika kelas V SD Inpres Unggulan BTN PEMDA. Metode penelitian ini adalah Pendekatan Penelitian Tindakan Kelas Hasil penelitian menunjukkan yaitu pada pra penelitian rata-rata ketuntasan hasil belajar sebesar 16,6. Siklus I sebesar 46,7, dan siklus II sebesar 87,4. Dengan demikian Penerapan Media WordWall dapat Meningkatkan Hasil Belajar Siswa Mata Pelajaran Matematika kelas V SD Inpres Unggulan BTN PEMDA
Implementasi Model Kooperatif tipe STAD dalam Meningkatkan Hasil Belajar Matematika
Authors: Sarmita Tahir Dwi Putri , Alfi Andi , Halim St Nur Humairah
Published: November 2024

Penelitian ini bertujuan untuk mengkaji efektivitas model kooperatif tipe STAD (Student Teams Achievement Divisions) dalam meningkatkan hasil belajar matematika dan motivasi peserta didik kelas 4 di SD Inpres Mariso 3. Metode yang digunakan adalah Penelitian Tindakan Kelas (PTK) yang dilakukan dalam tiga siklus. Data dikumpulkan melalui tes hasil belajar, lembar observasi, dan angket motivasi belajar. Hasil penelitian menunjukkan peningkatan signifikan dalam hasil belajar peserta didik, dengan rata-rata nilai tes meningkat dari 68 pada siklus pertama menjadi 83,3 pada siklus ketiga, Penelitian ini menyimpulkan bahwa penerapan model STAD dapat menciptakan lingkungan belajar yang aktif dan kolaboratif, serta meningkatkan hasil belajar matematika dan motivasi peserta didik. Temuan ini memberikan wawasan baru bagi praktik pembelajaran di sekolah dasar dan rekomendasi untuk penerapan model kooperatif dalam konteks pendidikan di Indonesia.
Penerapan Media Educaplay Dalam Meningkatkan Minat Belajar Peserta Didik Pada Mata Pelajaran IPAS
Authors: Syarmadana  , Aisyah Nur , A Rahmwati
Published: November 2024

Penelitian ini disusun dengan tujuan untuk meningkatkan minat belajar siswa pada mata pelajaran IPAS kelas IV UPT SPF SDI Unggulan BTN Pemda melalui penerapan media Educaplay. Minat belajar yang dimaksud dalam penelitian ini yaitu dorongan atau ketertarikan peserta didik dalam belajar pada mata pelajaran IPAS. Jenis penelitian ini adalah Penelitian Tindakan Kelas (PTK). Desain penelitian ini menggunakan model Kemmis dan Mc. Taggart. Penelitian ini dilaksanakan pada semester ganjil tahun ajaran 2024/2025 pada bulan Juli-Agustus. Subjek penelitian ini yaitu peserta didik kelas IV UPT SPF SDI Unggulan BTN Pemda yang tediri dari 31 peserta didik. Objek penelitian adalah minat belajar peserta didik. Teknik pengumpulan data yang dilakukan menggunakan observasi dan wawancara. Data dianalisis secara deskriptif dan disajikan dalam bentuk tabel dan grafik. Hasil penelitian menunjukkan adanya peningkatan minat belajar peserta didik, dikarenakan pada siklus I minat belajar peserta didik sebesar 72,7% (kategori baik), kemudian pada siklus II meningkat menjadi 89,1% (kategori sangat baik). Hal ini menunjukkan adanya peningkatan sebesar 16,4%. Dengan demikian, penerapan media educaplay dapat meningkatkan minat belajar peserta didik pada mata pelajaran IPAS kelas IV UPT SPF SDI Unggulan BTN Pemda.
Erythema Annulare Centrifugum Associated with Autoimmune Catamenial Dermatitis
Authors: Chamorro Yoselin , Ortega Myrian , Lema Karen , Basantes Augusta , Felix Camila , Cueva Andrea , López Lesly , Jaramillo Janyna , Caceres Paola
Published: November 2024

Erythema Annulare Centrifugum can be considered today as a marker of multiple diseases; there are some reports that mention the presence of this skin pathology as an expression of autoimmune dermatitis due to progesterone. A case of erythema Annulare Centrifugum with recurrent evolution and difficult control is presented in a female patient in whom, after hormonal treatment, had a favorable response
Synthesis of Ni-Cu/Mesoporous Silica Catalyst with Variation of TEOS and NH4OH Molar Ratio for Hydrocracking Waste Cooking Oil into Biofuel
Authors: Suseno Ahmad , Wati Della Kusuma , Astuti Yayuk , Widodo Didik Setiyo
Published: November 2024

Research on the development of sustainable and renewable energy sources has been done and intensified due to the dwindling fossil fuel reserves. Biofuels that are derived from renewable biomass sources offer a promising alternative to traditional fuels. This study focuses on the synthesis and characterization of Ni-Cu/Silica catalysts for the hydrocracking of waste cooking oil into biofuels. Mesoporous silica as supporting material was synthesized with varying TEOS/NH4OH ratios and impregnated with Ni and Cu metals to enhance catalytic activity. The synthesized catalysts were characterized using FTIR, SEM-EDX, and GSA techniques to investigate their structural and textural properties. The catalyst with a TEOS/NH4OH ratio of 1:1 exhibited the highest acidity, surface area, and catalytic activity, resulting in a 71.52% conversion of waste cooking oil into biofuel with a selectivity of 97.69% towards paraffin. These findings demonstrate the potential of Ni-Cu/Silica catalysts for the efficient production of biofuels from waste cooking oil.
Leveraging Artificial Intelligence for Predictive Healthcare: A Data-Driven Approach to Early Diagnosis and Personalized Treatment
Authors: Adeoye Seun , Adams Russel
Published: November 2024

As noted, healthcare delivery systems are systems that always present organizational difficulties for any user and everyone related to these systems, but AI today is one of the widely-discussed and most frequently considered innovations that have prospects for radical improvement of the patient’s state and quality of life. AI solutions are on the verge of becoming integrated into clinical practice thanks to enhanced developments in the field, which means that there is a need to cover the part played by these technologies in healthcare and equip healthcare providers with the knowledge and resources needed to achieve that. This review article provides a broad, although dated, systematic synthesis of AI in clinical practice today, reviewing potential uses of AI in disease taxonomy and diagnosis, treatment suggestions, patient participation, and utilizing methodologies to consider the ethical and legal issues of AI and the persistent need for human insights and expertise. In order to establish the nature of the relationships and possible effects of AI in healthcare environments, the paper reviews the literature using PubMed/Medline, Scopus, and EMBASE databases. According to the findings, the application of AI technologies in health care delivery can greatly improve disease diagnosis, therapy choice, and clinical testing because, in contrast to human decision-making, AI algorithms analyze extensive data sets and outcompete human experts in specific tasks. It is accurate, cost-effective, time efficient, and free from human errors, advances the fields of pharmacogenomics and personalized medicine, optimizes the dosing of drugs, improves overall population health, establishes virtual healthcare services, and enhances mental health care, education, and trust between patients and physicians. Nevertheless, these and the following issues cannot be left unresolved: data privacy, AI bias, and the indispensability of the human factor.
The Effect of Nickel Addition on α-Fe2O3 Synthesis Using NaOH and Application as Lithium-Ion Battery Anode Material
Authors: Millati Chilyatul , Suyati Linda , Widodo Didik Setiyo , Gunawan Gunawan
Published: November 2024

Research has been conducted in the pursuit of developing the performance of batteries. The increasing demand for electronic devices and electric vehicles has driven the development of high-performance lithium-ion batteries (LIBs). Among the various anode materials, α-Fe2O3 has attracted significant attention due to its high theoretical specific capacity of 1007 mAh/g. However, its low conductivity and poor rate capability limit its practical application. To address these issues, this study investigates the addition of nickel (Ni) into α-Fe2O3 through a co-precipitation method. The synthesized materials were characterized using Fourier Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), and Scanning Electron Microscopy with Energy-Dispersive X-ray spectroscopy (SEM-EDX). The electrochemical performance was evaluated using an LCR meter and charge-discharge cycling. The results showed the addition of Ni improved the conductivity of the α-Fe2O3 material. The optimal Ni content was found as much as 18×10-4 mol which exhibits the highest conductivity and specific capacity. The synthesized α-Fe1.965Ni0.035O3 material demonstrated a specific charging capacity of 1.8433 mAh/g and a specific discharging capacity of 1.8388 mAh/g. These findings suggest that Ni-doped α-Fe2O3 has the potential to be a promising anode material for high-performance lithium-ion batteries (LIBs).
Literatura, Política, Discurso e Raça: Notas sobre o Tipo Nacional Brasileiro
Authors: Almeida dos Santos Lavoisier , Melo Valci
Published: November 2024

O presente artigo tem por objetivo refletir sobre a função social do Estado moderno brasileiro com seu discurso nacionalista em tempos de crise econômica e social, bem como sobre as possibilidades de resistência a esse discurso para a construção de um horizonte societário que resista e supere o atual sistema antagônico de produção e reprodução das relações sociais do povo brasileiro. Aponta-se, como resultado central da reflexão, que a verdadeira função social do Estado moderno é garantir a manutenção do status quo da sociedade do capital, tornando-se a garantia do êxito de um grupo de indivíduos em relação aos demais, da exploração econômica, perversa e cruel de um homem sobre outro, e que, no caso brasileiro, apela-se ao discurso nacionalista para que esse processo de expropriação aconteça harmonicamente. Nesse sentido, a pesquisa também apresenta como resultado que a literatura, a cultura e a arte decerto não são a solução imediata para a crise econômica, política e social que acompanha o Brasil da Monarquia à República, mas certamente podem intervir enquanto elementos potenciais de mediação para a construção do verdadeiro tipo nacional, tendo em vista a elaboração de um projeto de resistência ao pseudonacionalismo estatal brasileiro.
Entre o Marginalizado e o Oprimido: Reflexões sobre Educação Pós Pandemia na América Latina
Authors: Campos Barbosa Ana Cecília
Published: November 2024

Em 2020, a covid-19 expandiu-se no planeta exigindo, entre inúmeras medidas de controle do contágio, o isolamento social, o que provocou o fechamento total/parcial das escolas em todo o mundo. Nos países latino- americanos, em quase dois anos, os estudantes tiveram 1 para cada 2 dias de aulas. Pensar os prejuízos e como melhorar resultados acadêmicos, além de evitar evasão e garantir permanência, é um desafio para educação contemporânea desses países. Leituras sobre teorias da educação, principalmente com base nos estudos em Dermeval Saviani e Paulo Freire embasam esse texto expositivo e reflexivo sobre o tema.
Análise de Desempenho em Provas de Habilidades de Leitura e Escrita com Escolares da Educação Fundamental I: Panorama Educacional Pré-pandêmico à Covid-19
Authors: Sordi Claudia
Published: November 2024

O sistema educacional brasileiro enfrenta desafios na alfabetização, impactando o desempenho e a igualdade entre estudantes. Dados atuais demonstram uma baixa proficiência em leitura e escrita, especialmente em alunos negros e de baixa renda. Porém, esta realidade foi agravada pela pandemia Covid-19, porém tais questões já eram latentes. Trata-se de um estudo documental, com dados coletados entre 2016 a 2019, o qual descreve a alfabetização em escolas públicas das séries iniciais. Os resultados apresentados apontam para uma situação preocupante em termos do desempenho em alfabetização, mesmo antes da Covid-19. Ao considerarmos a amostra global de 285 alunos no primeiro ano, notamos que 181 alunos, representando 64%, não alcançaram um nível de proficiência adequado. No segundo ano, entre 338 alunos, representando 57% da amostra, foi observado um desempenho insatisfatório similar. Essa pesquisa enfatiza a necessidade de reavaliação das abordagens educacionais e implementação de estratégias direcionadas para garantir que todas as crianças tenham proficiência leitora, incluindo a pandemia como novo fator de impacto temporário, porém, não o único, obtendo assim uma base sólida e permanente para o sucesso educacional futuro.
Educação do Campo como Patrimônio Imaterial: Desafio ou necessidade nos dias atuais?
Authors: Nascimento Pinto Marie Jolly , dos Santos Bezerra Marcelo , Santana Coelho Orlane
Published: November 2024

A referida proposta brotou a partir de indagações pertinentes acerca das vivencias como agente do processo em escolas rurais e as contribuições que elas têm dado a cultura e formação de sociedades. O presente artigo tem por objetivo propor uma reflexão acerca do processo de formação sociocultural bem como da identidade, que as escolas da rede pública do campo vêm desenvolvendo e seus principais resultados, para tanto se deve durante o decorrer do trabalho abordar questionamentos de caráter pertinentes a este processo como: O que é cultura? O que é patrimônio material e imaterial? O que é identidade cultural? E quem são os agentes deste processo? O que é educação do campo? Como preservar a identidade campesina? A partir destes questionamentos será possível analisar o processo de formação social e identitário do povo da zona rural. A metodologia trabalhada foi por meio da pesquisa indireta obtendo informações através do levantamento bibliográfico assim como análise de obras já publicadas que discorrem sobre a temática explorada. Autores como, Choay, Hall, Santos, Willians, dentre outros são de suma importância para dar sustentação à proposta.
As Contribuições de Fernando de Azevedo para a Educação Brasileira
Authors: Fernandes Bressanin Cesar Evangelista
Published: November 2024

O presente trabalho apresenta o professor, educador, crítico, ensaísta e sociólogo Fernando de Azevedo (1894- 1974) e suas contribuições para a educação brasileira por meio de uma pesquisa qualitativa de cunho bibliográfico. Inserido no campo da História da Educação e aportado nos pressupostos da História Cultural, o texto é uma biografia histórica de uma das mais altas expressões da inteligência e da cultura do Brasil moderno. Fernando de Azevedo teve uma longa e marcante militância no meio educacional brasileiro onde desempenhou com notoriedade as diversas atividades e funções que exerceu. O legado intelectual que deixou para a Educação e para a Sociologia é inegável. Em 1932 redigiu o Manifesto dos Pioneiros da Educação Nova e o assinou como primeiro signatário na ânsia por uma escola democrática pública, única, gratuita, laica, acessível e universal. Na celebração dos 90 anos da assinatura e publicação deste manifesto, em 2022, que se tornou documento indispensável para o estudo e pesquisa da História da Educação Brasileira, fazer memória da trajetória, das produções e contribuições de Fernando de Azevedo.
A Pedagogia da Desejabilidade Social
Authors: da Silva Figueirêdo Luzinete
Published: November 2024

A Pedagogia da Desejabilidade Social é a resposta dada pelos alunos concluintes do Ensino Médio oriundo da Escola Estadual Professora Simone Simões Neri – Inhambupe-BA, que pode ser ampliada para realidades maiores. A Pedagogia da Desejabilidade Social são os sonhos, os desejos dos jovens em serem grandes profissionais, em cursarem faculdade renomadas, adentrarem em cursos que exigem uma gama de conhecimentos que, infelizmente eles não dominam, não tiveram tempo e situação que os promovessem a esse domínio pois tiveram que trabalhar, estudar e sustentarem-se. Eles respondem aquilo que a sociedade e a família querem ouvir, respondem como se estivessem dizer o que os investimentos neles querem ouvir, porém a realidade da distância entre fala e situação de vida estão nas entrelinhas, nos suspiros e nos olhares que revelam o sonho de ser mais, de alcançar patamares que, infelizmente, ficam na esfera dos desejos. Assim a Pedagogia da Desejabilidade Social é a forma como os alunos dão o resultado a si e a sociedade que nele investiu, dos resultados dos tempos escolares. Falam o que os outros desejam ouvir, mas que não é a realidade vivenciada.
Redes Sociais e Saúde Mental: o Mapeamento das Primeiras Pesquisas
Authors: Sousa Helan
Published: November 2024

O presente artigo pretendeu investigar uma problemática surgida durante a pesquisa do mestrado acadêmico, sobre as redes sociais e sua relação com a saúde mental dos respectivos sujeitos objetos de investigação científica. Apresenta dados fidedignos de que com o advento das tecnologias foram surgindo pesquisas relacionados à saúde mental em uma intrínseca relação que perpassa as redes sociais. Para isso recorreu se às bases de dados da Scielo e Google Acadêmico, trazendo contribuições de autores como Silva e Moreno (2022), Souza, Anderson e Oliveira (2021), Cruz (2020) dentre outros ,dos quais trouxeram em sua dialética pontos de reflexão e problematização da temática em questão. Traz em sua metodologia a pesquisa bibliográfica que segundo Gil (2002), representa um aparato de publicações que norteiam o referido assunto. Enquanto resultados da pesquisa, trouxe um novo repensar sobre as mesmas e seus respectivos impactos nas rotinas do “eu” diário, problematizando o que são, não para uma patologização apenas, mas para um processo de orientação dialógica tendo como pressuposto basilar articular a subjetividade individual de cada um em uma sociedade hodiernamente conectada.
Programa de Pós-Graduação em Serviço Social da UFS: Contribuições da Sua Produção de Conhecimento
Authors: Ribeiro Sales Ana Carolyna , Thaise Lins Prudêncio Weslany , Vasconcelos Gonçalves Maria da Conceição
Published: November 2024

Este artigo tem por objetivo analisar a produção do conhecimento do Programa de Pós-graduação em Serviço Social da Universidade Federal de Sergipe (PROSS/UFS), dando ênfase nas principais áreas de estudos. Metodologicamente, trata-se de uma pesquisa exploratória com fontes bibliográficas e documentais que teve uma abordagem quanti-qualitativa norteada pelo materialismo histórico dialético. Observou-se que o PROSS/UFS em mais de uma década tem acumulado 105 dissertações cuja temáticas se articulam com os contextos históricos, o que contribui tanto para a formação quanto para o exercício profissional. Foram identificadas uma diversidade de temáticas que se relacionam com áreas de atuação profissional e/ou áreas de pesquisa do Serviço Social, se destacando as temáticas direcionadas a saúde, educação, fundamentos e trabalho.
Factors Influencing Tax Awareness among E-Commerce SMEs in Malaysia: An Empirical Investigation
Authors: Abdullah Wan Razazila Wan , Kahar Nurain Afina
Published: November 2024

The rapid growth of e-commerce has introduced new challenges in tax compliance, particularly among small and medium enterprises (SMEs). This study investigates the key factors influencing tax awareness among e-commerce SMEs in Klang Valley, Malaysia. Given the online nature of these businesses, tax evasion has become a prevalent issue, with many owners assuming that their business activities may go undetected by tax authorities. The main objective of this study is to examine how tax knowledge, taxpayer attitudes, and tax penalties impact tax awareness among e-commerce business owners. A sample of 158 e-commerce SME owners was surveyed, and the data were analyzed using the Statistical Package for the Social Sciences (SPSS) version 27. The results of the regression analysis reveal a significant relationship between taxpayer attitudes and tax penalties with tax awareness. However, tax knowledge was found to have no significant effect on tax awareness. This study contributes to the understanding of the determinants of tax awareness in the digital business environment and provides valuable insights for policymakers and tax authorities in addressing tax evasion challenges. The findings can also assist e-commerce professionals in enhancing compliance and fulfilling their tax obligations effectively.
Factors Affecting Team Development During a Pandemic
Authors: Bakar Najihah Abu , Mamat Mohd Zaki
Published: November 2024

The pandemic of COVID-19 in March 2020 had a huge impact on an organization. The abrupt changes working policy and other factors restrain the employee from creating an effective team development. This paper aims to emphasize the factors affecting team development during the pandemic and classify the relevant research findings based on 29 articles. Successful team development is vital for cultivating a productive and innovative workforce, which is essential for organizational success. This paper highlighted the primary factors influencing effective team development during a pandemic, focusing on cultural changes, physical and mental challenges, and communication barriers. The disruption of collaboration between the employees during the pandemic will result in poor organizational performance. The outcome of this paper will promote a comprehensive plan for the organization on how to minimize the impact of pandemic or abrupt changes by adopting relevant strategies. The organization has resources to overcome the obstacles and make better decision-making in developing an effective team development in the future.
ANÁLISE PATENTOMÉTRICA SOBRE AS INOVAÇÕES QUE TÊM COMO BASE O USO DE BIOPOLÍMEROS PELA CONSTRUÇÃO CIVIL
Authors: Bandeira Arilmara Abade , Sandro Rodrigues Holanda Francisco , Eduardo Celestino de Andrade Carlos , Diego Vidal Santos Luiz
Published: November 2024

O cenário atual é de busca constante por inovações tecnológicas que levem a soluções para a redução do consumo de recursos naturais não renováveis e a conservação do meio ambiente. Na construção civil, tem se intensificado a busca por alternativas aos materiais convencionais e têm sido empregados os biopolímeros obtidos de matérias primas de fontes renováveis, para atender aos anseios técnicos, econômicos e ambientais da sociedade.  Assim, diante da relevância do contexto ambiental e das perspectivas trazidas pelas inovações tecnológicas nesta área, este artigo tem como objetivo identificar o estado da arte da produção tecnológica sobre o uso de biopolímeros pela indústria da construção civil. Foi realizada uma análise patentométrica referente ao período de 01 de janeiro de 2010 a 31 de janeiro de 2022, para definição do perfil da inovação tecnológica de uso de biopolímeros a partir da análise de dados na base de documentos de patentes Patentscope. Foram identificados 306 documentos de patentes publicados, indicando a ocorrência de inovações que atestam a importância dos biopolímeros e mostrando uma tendência de crescimento ao longo dos anos. Os Estados Unidos se apresentam como líder no número de patentes depositadas e entre os requerentes mais relevantes estão o Korea Advanced Institute of Science and Technology, o GK Tech Institute CO LTD e o Korea Institute of Civil Engineering and Building Technology.
AS PRINCIPAIS TENDÊNCIAS PRESENTES NO CRESCIMENTO DA TI VERDE NO BRASIL
Authors: Gabriel Negri Jean , Ribeiro Douglas
Published: November 2024

O objetivo do artigo "As Principais Tendências Presentes no Crescimento do TI Verde no Brasil" é examinar como a área da Tecnologia da Informação (TI) brasileira está incorporando práticas sustentáveis. A noção de TI verde possui foco no estudo, juntamente com a variedade de práticas e tecnologias ligadas diretamente na diminuição das consequências que esses sistemas de TI provocam na natureza e as suas tendências de aplicação no Brasil. Tais dados foram coletados através da revisão da literatura sobre TI verde, dessa forma, as principais tendências e práticas sustentáveis adotadas no Brasil foram identificadas por meio dessa revisão.
Impact of Climate and Soil on Agriculture in West Kameng District, Arunachal Himalaya
Authors: Thongdok Norbu Jamchu , Prasad Sati Vishwambhar
Published: November 2024

Climate change navigates every sphere of the earth's surface, wherein, agriculture is the most affected entity. Such variations in temperature, humidity, and rainfall drive the nature of the soil and agricultural practices. The West Kameng district is located in the westernmost part of Arunachal Pradesh, Northeast India. The present study attempts to understand and assess whether climate and soil affect the agricultural production and yield of the study area. A field survey was carried out in fifteen villages comprised of five CD blocks. A systematic purposive sampling was applied, and agriculture hotspot villages were selected for the study. Soil samples were collected from the villages, and were laboratory assessed using the ‘Oven Dry Method’ (suggested by Cope and Trickett, 1965) and the ‘Hydrometer Method’ (suggested by Piper, 1942). Besides, climate data from 2019-2022 were tabulated and analyzed using Linear regression (R2). The data and results show a positive correlation or relationship among the temperature, humidity, rainfall, and production, similarly, the examined soil properties also show favorable conditions for growing crops. The study paves the way for a comprehensive understanding of how certain crops respond to particular soil types and underlying climatic conditions for their growth and yield. Besides, the study also envisages sustainable and eco-friendly farming systems in the region.
Augmented Targeted Training to Improve Balance in Diabetic Neuropathy Patients
Authors: Thenmozhi M  , Rajarajeswari A
Published: November 2024

Due to its high rates of morbidity, disability and death, diabetes mellitus with its long-term consequences is regarded as a public global health issue. In any specific period, between 12 and 50 percent of people with diabetes suffer with diabetic peripheral neuropathy (DPN). Motor nerve disorders and a loss of proprioception lead to impaired muscle action and imbalance. This study’s main target was to find whether targeted strategy specific training along with verbal and visual feedback improved the efficiency of learning motor tasks that are identical. Out of 30, 15 patients were allotted to interventional group and other 15 were allotted to control group by simple sequential sampling. Patients in control group underwent standard balance training usually given as conventionally, while the interventional group received targeted strategy specific balance training along with augmentation. They received treatment for 2 consecutive weeks; 5 sessions per week. Both groups were assessed using MiniBEST test, before and after 2 weeks of intervention. In within group analysis using Paired t-test, intervention group had significant improvement statistically in all four components of balance, whereas control group showed improvement only in reactive postural control, sensory orientation and anticipatory postural control. In between group analysis using independent t-test, except anticipatory postural control all the other three components of balance showed statistically significant improvement. Augmented Targeted Training is effective in improving balance in DN patients.
Identifying Learning Difficulties at an Early Stage in Education with the Help of Artificial Intelligence Models and Predictive Analytics
Authors: Babu J Mahisha , Virgin B Anita , RS Edwin Meshach , Priya P Gokula , Ravichandran Kathiravan
Published: November 2024

This empirical study explores the transformative potential of integrating artificial intelligence and predictive analysis to proactively identify learning challenges in the dynamic field of education. Through the utilization of diverse data sources, advanced machine learning algorithms, and an iterative methodology to construct predictive models, the study follows a rigorous technical approach. The study underscores the negative impact of delayed identification on students' academic performance and socioemotional well-being, underscoring the critical need for early detection. By recognizing and addressing these challenges at an early stage, educators can implement targeted interventions and strategies to help students reach their full potential. It is imperative that teachers, parents, and educational professionals work together to identify and support students who may be struggling with learning difficulties. It explores Artificial- Intelligence (AI) in education, emphasizing its ability to personalize learning, streamline administrative tasks, and support language acquisition. Consideration is given to data privacy and ethical concerns, as well as the integration of predictive analysis into the classroom. The paper envisions a future where AI-driven predictive analysis fosters interdisciplinary collaboration, continuous improvement, and the incorporation of cuttingedge technologies, ultimately leads a more efficient and personalized educational experience, despite challenges such as bias mitigation and infrastructure disparities. To fully leverage the benefits of AI-driven predictive analysis in education, the conclusion focuses on the significance of ethical principles, empowering teachers, and widespread technological integration.
Exploring Emerging Trends and Future Prospects in Green Consumerism: A Bibliometric and Systematic Approach
Authors: Muzammil A  , Vijayaraj K
Published: November 2024

This study uses a bibliometric and systematic review of literature from 2009 to 2023 to investigate new developments and opportunities in green consumerism. With special focus to global partnerships and the top nations in green consumerism research, important nations, journals, and writers promoting environmentally conscious consumption are highlighted. Major themes that have a substantial impact on green buying intentions, such as cultural values, eco-labels, and environmental views, are highlighted by a keyword co-occurrence analysis. The results also show that gender and educational attainment have a big impact on how people buy green products. Strategies to close the attitude-behaviour gap and encourage sustainable consumption behaviors are among the useful insights offered to marketers and regulators. The study emphasizes the value of raising customer awareness and educating people about eco-friendly products and creating persuasive marketing plans that appeal to a range of consumer demographics. In conclusion, this study adds to the expanding corpus of research on green consumerism and provides practical suggestions to improve sustainable consumption habits in a range of settings. This study promotes more investigation and in-depth study of green consumption by academics and business professionals by highlighting the incorporation of sustainability into marketing tactics.
A Case Series of Optic Nerve Head Melanocytoma from a Tertiary Care Hospital in Rural Tamil Nadu
Authors: AN Shafina , AC Aparna , HariVignesh S
Published: November 2024

Optic Nerve Head Melanocytoma (ONHM) is a rare benign pigmented condition manifested due to the presence of Uveal melanocytes more predominantly on or just adjacent to the optic nerve head. In spite of having a rare possibility for being malignant, it has previously been misdiagnosed to be a malignant melanoma that resulted in the execution of various enucleations. We report a case series of three patient’s with Optic Nerve Head Melanocytoma, all noted as incidental findings on routine examination. Though benign, we would like to stress on advising a lifelong follow-up in these patients.
Moringa oleifera Leaves: A Proficient Biosynthetic Source of Myriad Nanoparticles Pertaining Biomedical Importance
Authors: Bennur Tahsin , Bankar Nutan , Saif Mohammed , Suleman Insha
Published: November 2024

The advent of nanotechnology has blurred the boundaries between various fields. Development of newer, efficient, and sustainable approaches for nanomaterial synthesis has become the primary focus of research in recent years. The utilization of biological molecules as matrices for nanoparticle synthesis is increasing, with bacteria, fungi, plants, agrowaste, being common choices. Among them plant extracts are favoured biological source due to their widespread availability and diverse range of primary and secondary metabolites. These antioxidant metabolites possess reducing properties, indicating the potential for plant extracts to synthesize nanoparticles with enhanced characteristics. Moringa oleifera is a perennial, fast growing very popular plant in Asia. Since ancient times it is an important source of natural phytochemicals employed as food and herbal medicine. Moringa leaves have high number of phytochemicals like flavonoids, saponins, tannins, phenolic acids, proteins, calcium, iron, vitamins, essential amino acids, omega fatty acids and antioxidants. These facilitates eco-friendliness, and cost-effectiveness for large-scale production of nanomaterials. So far, several parts have been utilised for biosynthesis such as stem, bark, seed, fruit, and leaf. Leaves are highly exploited among all other parts for synthesis of several metal (gold, silver, copper,), metal oxide (titanium, zinc, iron) and other nanoparticles. During biosynthesis process, extracted phytochemicals are added to solutions containing metal salts. They serve as both reducing and stabilizing agents for metal ions imparting biomedical functionalities. This review presents, Moringa oleifera mediated myriad nanoparticles and their role in various applications with special focus to healthcare and biomedical field.
Maternal Outcome of Pregnancy with New onset Stage 1 Hypertension (ACC) after 20 Weeks of Gestation
Authors: Chhabra Prerna , Pattnaik Tapan , Pravalina Rachita , Chaudhury Ritu Priya
Published: November 2024

In 2017, “The American College of Cardiology and the American Heart Association” introduced a new, lower threshold for diagnosing hypertension, which did not include pregnant women. This study examines the outcomes for normotensive pregnant women in comparison to those with new-onset hypertension, defined as systolic blood pressure (SBP) between 130–139 mm Hg and diastolic blood pressure (DBP) between 80–89 mm Hg, observed after 20 weeks of gestation. Conducted at the department of Obstetrics and Gynecology at IMS and SUM Hospital, Bhubaneswar, this prospective observational study involved 220 patients over an 18-month period.15.8% of the case developed pre-eclampsia, 10.8% were diagnosed as Gestational Hypertension, 2.5 % had eclampsia and 1.66% were diagnosed as HELLP Syndrome. 2 of them needed ICU admission. The statistical analysis indicated that women with Stage 1 hypertension experienced pre-eclampsia at a higher rate compared to those in the normotensive group.
Entrevista com Wallace Paiva Martins Junior
Authors: Dal Pozzo Augusto Neves , Martins Ricardo Marcondes
Published: November 2024

Wallace Paiva Martins Junior
Possui graduação em Direito pela Universidade de São Paulo (1987), mestrado em Direito pela Universidade de São Paulo (2000) e doutorado em Direito pela Universidade de São Paulo (2003). É professor titular da Universidade Católica de Santos na graduação (Direito Administrativo) e no programa de pós-graduação stricto sensu (Direito Ambiental). Membro do Ministério Público do Estado de São Paulo, exerce o cargo de Subprocurador-Geral de Justiça Jurídico. wallacemartins@unisantos.br
Acordos de não persecução cível e de leniência: uma costura necessária
Authors: Castro Leonardo Bellini de
Published: November 2024

A abertura jurídica para a formalização de acordos de não persecução cível traz uma série de desafios hermenêuticos em razão da falta de uma disciplina legal que delimite suas hipóteses de cabimento, requisitos e efeitos. Propõe-se, portanto, uma visão unitária do regramento jurídico de prevenção e repressão aos atos ímprobos a fim de se delinear respostas adequadas, coerentes e não contraditórias, o que há de se levar a efeito por meio de uma composição normativa entre diversos diplomas que compõem o microssistema de combate à corrupção.
Por que indenizar? Um ensaio sobre o(s) fundamento(s) da responsabilidade objetiva do Estado prevista no §6º do art. 37 da Constituição
Authors: Cunha Filho Alexandre Jorge Carneiro da
Published: November 2024

No presente ensaio investigamos os possíveis fundamentos a justificar a responsabilidade civil objetiva do Estado prevista no § 6º do art. 37 da Constituição de 1988. Por traz da literalidade do comando normativo sob exame, discutimos que princípios/valores autorizam a sua aplicação nas mais diversas situações nas quais a vítima de um dano pretende o seu ressarcimento do erário, reflexão imprescindível para que o instituto da responsabilidade civil seja adequadamente aplicado entre nós. Para nosso estudo nos valemos de revisão bibliográfica e do raciocínio indutivo para testar a hipótese que tomamos como ponto de partida para a pesquisa, a saber: a de que a Teoria do Risco é insuficiente para explicar o manejo que os Tribunais fazem do § 6º do art. 37 da Constituição para a solução dos casos submetidos à sua apreciação. Ao fim da pesquisa confirmamos nossa hipótese, defendemos como principal fundamento para a responsabilidade civil do Estado o dano causado por conduta ilícita e a necessidade de a doutrina explorar melhor quais os princípios/valores que justificam condenar o Estado ao pagamento de indenização por prejuízos decorrentes suas ações ou omissões lícitas.
Nova Lei de improbidade administrativa
Authors: Oliveira Regis Fernandes de
Published: November 2024

O presente trabalho visa abordar, holisticamente, o conteúdo da Lei de Improbidade Administrativa após as alterações promovidas pela Lei 14.230/2021. Concentra-se no elemento volitivo para a configuração das condutas ilícitas para, então, abordar a questão da retroatividade à luz da decisão do STF. Analisa a figura do agente público e os distintos tipos de improbidade. Analisa a questão da prescrição, dos bens e do procedimento administrativo, bem como o judicial. Analisa a legitimidade exclusiva do Ministério Público e das distinções da ação de improbidade com a ação civil pública.
AptitudeHub: A Centralized Platform for Free Aptitude Skill Development
Authors: Abhishek Daingude  , Shruti Shirole  , Vedant Shinde  , Akash Somavanshi  , Prof. P. S. Pise
Published: November 2024

In the modern educational landscape, aptitude skill development is critical for competitive exams, recruitment processes, and academic evaluations. However, current platforms are either financially inaccessible or lack a centralized and interactive approach. AptitudeHub aims to address these gaps by offering a free, locally hosted platform focusing on abstract reasoning, critical reasoning, and quantitative aptitude. It integrates features like interactive quizzes, performance tracking, and curated video tutorials to enhance learning outcomes. The platform is developed using the MERN stack, ensuring scalability, data privacy, and user-centric design. This paper reviews related works and presents a comparative analysis of the proposed system with existing solutions, highlighting its contribution to democratizing education
Cases and Issues of the Right to Erasure (Right to Be Forgotten) Under the Article 17 of Regulation (EU) 2016/6791
Authors: Ramaccioni Giulio
Published: November 2024

The subject of the research is the right to erasure (or the right to be forgotten) and its practical application. This right has now taken on great relevance in the European landscape thanks to Regulation (EU) 2016/679 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation). Therefore, the study will be characterized by: (i) the analysis of the legislative frame of reference, represented by art. 17 of Regulation; (ii) the verification of the law in action2 , conducted through the study of five cases resolved out of court, which will allow us to identify the concrete operational rules adopted for their resolution: 1) the case of the online article about the collapse of well-known Italian company; 2) the case of the online article about rigged tenders; 3) the case of the website of the political party; 4) the case of the “Panama Papers”; 5) the case of the website of an Italian region. In this way, it will be possible to identify the legal problem charac
Performance Measurement of a Hybrid Encryption Scheme on an Embedded System
Authors: Oviedo Luis Alejandro Vargas , Gómez Edwar Jacinto , Santa Fernando Martínez
Published: November 2024

In the last decades, information security has become a priority with exponential growth since technological developments must be supported so that their operation has reliable levels to store relevant data, and the levels of reliability are those required by the current environment. This is key to developing modern requirements that apply to data protection. It should be noted that the most common tool to encrypt information in code is AES (Advanced Encryption Standard), which is a block cipher algorithm that assigns binary keys and performs rounds of exchange to hide the message; on the other hand, is RSA (Rivest - Shamir - Adleman) which is an algorithm used for key assignment. Finally, the HASH key extension function is used for cryptographic analysis to verify the authenticity and origin of the data. In this research, a source code that combines the AES, RSA, and HASH encryption algorithms is designed to run on two hybrid acceleration units to compare the data processing in terms of time and reliability.
NLP Applications in Vocabulary Acquisition
Authors: Celaj Doliana , Jani Greta
Published: November 2024

This paper examines the transformative role of Natural Language Processing (NLP) in vocabulary acquisition for English as a Second Language (ESL) learners. With advancements in NLP technologies, innovative applications have emerged that foster effective vocabulary learning through personalized and context-rich experiences. The study explores various NLP-driven tools, such as context-aware learning systems, personalized vocabulary lists, and interactive games, that enhance engagement and retention. By analyzing the effectiveness of these tools, this research underscores the limitations of traditional vocabulary teaching methods and illustrates how NLP can provide dynamic, tailored support to meet individual learners’ needs. Furthermore, the paper highlights the significance of real-time feedback mechanisms, such as speech recognition, in promoting accurate pronunciation. Ultimately, this investigation aims to demonstrate that NLP technologies offer a more engaging, efficient, and effective approach to vocabulary acquisition, significantly improving ESL learners’ language proficiency and overall communicative competence.
Enhancing Organizational Efficiency of the Lantern Festival in Penghu, Taiwan Through Information Technology: Key Factors Analysis
Authors: Chang Shih-Ping , Huang Han-Chen
Published: November 2024

The Lantern Festival in Penghu, Taiwan, has become one of the region's most important cultural events, attracting numerous tourists and garnering extensive media coverage. This festival combines local traditions and religious beliefs, serving as not only a symbol of the holiday but also a key attraction for Penghu's tourism. However, despite the festival's long history, the growth in visitor numbers has been relatively limited. To enhance the event's impact effectively, organizers face several challenges, including resource allocation, event content design, and promotional strategies. This study systematically analyzes and evaluates the key success factors of the Lantern Festival using the Analytic Hierarchy Process (AHP) method and establishes a related framework. The results reveal three major dimensions: A. Event Planning and Resource Support, B. Event Execution and Promotional Communication, and C. Cultural Heritage and Industrial Activities. These three dimensions encompass a total of twelve specific indicators, such as the design of the event theme, government funding and policy support, marketing and promotion, local community involvement, and cultural innovation and preservation. Through an analysis of the Penghu Lantern Festival, this study identifies the core factors contributing to the event's success and how they are integrated with local culture and tourism development. These findings provide a valuable reference for other regions planning similar festivals, helping improve the quality and appeal of events and laying the foundation for long-term development. Additionally, the study offers festival planners a practical action framework to review key factors during the preparation phase, ensuring smooth execution and meeting the expectations of all stakeholders.
Malware Detection and Classification using Generative Adversarial Network
Authors: Kumar Krishna , Mandoria Hardwari Lal , Singh Rajeev , Dwivedi Shri Prakash , N Paras
Published: November 2024

The Generative Adversarial Networks (GANs) are playing a crucial role in deep-learning-based malware classification to overcome the dataset imbalance and unseen malware. The Generative AI is preferably used in many applications, such as improving image resolution and generating audio, video, and text. The cybercriminals are also using the Generative AI for generating the malware and deepfake videos to harm the targeted person or device. By generating the synthetic data, it makes the deep learning model more robust to detect such types of unseen and adversarial attacks. This work utilizes GANs for generating adversarial malware samples to train a classification and detection model, improving the model’s ability to identify sophisticated malware variants. The performance of the proposed Conditional Generative Adversarial Network (CGAN) model is evaluated on a multiclass malware grayscale image dataset and a binary class malware RGB image dataset. The performance of proposed model is compared with current state-of-the-art. Results indicate a significant improvement in classification accuracy and a reduction in training time and false positives, showcasing GAN’s potential in the dynamic cybersecurity landscape.
Utilizing Analytic Network Process for Evaluating Event Management Companies: A Case Study in Celebration Activities
Authors: Huang Han-Chen
Published: November 2024

This study explores the selection model for event contracting companies, analyzing the differences in selection criteria across various types of activities (such as arts and culture, industry and community development, and innovative festival activities). The findings indicate that the comprehensiveness of the project proposal and the feasibility of implementation are the most important criteria across all activity types, each holding the highest weight. Furthermore, different activity types place varying levels of importance on the contractors' professional knowledge, skills, and historical performance. This study provides a specific and objective selection model, offering a reference for enterprises and government agencies when choosing contracting companies, thereby increasing the success rate of event planning and execution. Future research could further extend the applicability of this model, verifying its effectiveness and applicability in other industries.