bluuebunny/crossref_metadata_2025 huggingface dataset:
How to Improve Fatigue Life and Residual Stress in Compressor Reeds through Shot Peening
Authors: Kalamkar Anand
Published: June 2024

Abstract: Numerous industrial areas involve the utilization of shot peening as a well-known surface enhancement method for increasing the fatigue life and residual stress of cyclically loaded crucial parts. This study examines the effects of shot peening on compressor reeds that can lengthen their life cycle with an accelerated rate of residual stress thereby improving reliability and performance of entire compressor system. The paper explains the principles behind shot peening, its influence on materials, and some specific advantages that it gives to thin reed compressors. Materials selection, parameters for shot peening and testing methods are described as experimental methods. Results from residual stress analysis show how much more efficient shot peening makes compressor reeds tough and reliable. Moreover, this paper provides insight into practical aspects, difficulties faced in practice and directions for further research when applying shot peeing to compressor’s reed components.
AI in Medical
Authors: Sawant Devika
Published: June 2024

Abstract: Artificial Intelligence (AI) stands as a transformative influence in the realm of medicine, poised to reshape healthcare delivery and elevate patient outcomes. This summary offers an overview of AI's impact on medical applications, with key technologies such as machine learning, natural language processing, and computer vision playing pivotal roles across various healthcare domains, from diagnostics to treatment planning and patientcare. A notable stride in this evolution is the integration of AI-driven telemedicine solutions, effectively expanding access to healthcare services, particularly in underserved regions. Telehealth platforms leverage sophisticated AI algorithms for remote monitoring, facilitating real-time analysis of patient data and enabling prompt interventions.However, despite the immense potential, challenges persist. Issues surrounding data privacy, regulatory complexities, and the continual need for validating and refining AI models present hurdles to seamless integration. Addressing these challenges is imperative to fully capitalize on the benefits of AI in healthcare. In summary, the incorporation of AI into medicine holds the potential to deliver healthcare that is more tailored, efficient, and accessible, ultimately leading to enhanced patient outcomes and reduced healthcare costs. As the field advances, overcoming challenges and effectively harnessing AI's capabilities becomes crucial for the continued progression of global healthcare systems. Keyword: Artificial Intelligence, Machine Learning,Disease Detection, Medical Data Analytics, Early Di
Sign Language Recognition
Authors: Pal Divyanshu , Sharma Asst. Professor Rohini , Dheeraj  , Bazid Abdul , Chandel Gaurav
Published: June 2024

Abstract: Communication through signs has consistently been a significant way for communication among hearing and speech impaired humans, generally called deaf and dumb. It is the only mode of communicating for such individuals to pass on their messages to other human beings, and hence other humans need to comprehend their language. In this project, a sign language detection or recognition web framework is proposed with the help of image processing. This application would help in recognizing Sign Language. The dataset used is the Sign Language dataset. This application could be used in schools or any place, which would make the communication process easier between the impaired and non-impaired people. The proposed method can be used for the ease of recognition of sign language. The method used is Deep Learning for image recognition and the data is trained using Random Forest. Using this method, we would recognize the gesture and predict which sign is shown
PCOS Risk Prediction: Integrated Algorithm Approach
Authors: Sebastian Anna , George Anns , Vinod Annmary , Meckamalil Rotney Roy , Eldho Anu
Published: June 2024

Abstract: A significant challenge in women’s health is posed by Polycystic Ovary Syndrome (PCOS) because it is a difficult disorder to comprehend and exhibits various symptoms. Thisresearch project suggests the creation of a computerized prediction scheme for PCOS using machine learning algorithms and bioinformatics tools. The aim of this system is to give personalized risk assessment to women thus enabling early detection, and proactive management of PCOS. It combines other intelligible probabilities about PCOS with the use of user provided health data with Machine Learning models such as Random Forest, Logistic Regression, Support Vector Machine, Naive Bayes, Radial SVM, Linear SVM and KNeighbours Classifier. Additionally, it provides intuitive predictions regarding PCOS likelihood through ML models, which are based on Random Forest, Logistic Regression, Support Vector Machine (SVM), Naive Bayes (NB), Radial SVM (RSVM), Linear SVM (LSVM) and KNeighbours Classifier (KNC). By way of thorough assessment as well as comparison within these models the system intends to improve precision together with reliability during prediction of PCOS. The major objective is therefore to enable timely intervention along with individualized healthcare strategies that will promote better health outcomes for all women.
Live Data Monitoring in Industry
Authors: Anal Shivani , Kaur Dr. Sukhvinder
Published: June 2024

Abstract: In contemporary industrial environments, real-time monitoring of critical parameters is vital for ensuring safety, efficiency, and compliance with regulations. This thesis details the development and implementation of an advanced live data monitoring system designed to track temperature, humidity, fire presence, and oxygen levels. Key components of the system include a DHT sensor for temperature and humidity measurement, a fire sensor for fire detection, an oxygen sensor for monitoring atmospheric oxygen, and a buzzer for immediate auditory fire alerts. Central to the system is the ESP8266 WiFi module, which facilitates the wireless transmission of sensor data to ThingSpeak, a cloud-based data collection and visualization platform. This setup allows for continuous, remote monitoring of environmental conditions, providing critical insights and alerts to industrial operators. The project delves into the hardware configuration, sensor calibration, data acquisition processes, and wireless communication protocols essential for effective real-time monitoring. It also addresses the challenges of integrating multiple sensors and ensuring reliable data transmission in an industrial setting. The results demonstrate the system's capability to provide accurate, timely data, enhancing safety protocols and operational efficiency. By utilizing IoT technology, the proposed system offers a scalable solution for industrial environments aiming to implement advanced monitoring and alert systems. This work contributes to the field of industrial automation by illustrating a practical application of IoT in improving monitoring and safety measures, highlighting both the technical achievements and practical implications of the implemented system.
A Comprehensive Review on an Advanced Machine Learning Approach for Enhancing Phishing Website Detection
Authors: Kumar Gulshan , S Dr. Kokila
Published: June 2024

Abstract: Phishing attacks continue to pose a significant threat to online security, exploiting user trust to steal sensitive information. This paper presents a comprehensive review of advanced machine learning techniques for enhancing phishing website detection. We analyze recent developments in feature engineering, focusing on content-based, URL-based, and networkbased attributes. Various machine learning algorithms, including supervised and unsupervised learning, are examined, highlighting their strengths and limitations in this domain. Furthermore, we investigate the potential of ensemble methods and deep learning models to improve detection accuracy. Additionally, we address challenges such as concept drift and adversarial attacks, discussing potential mitigation strategies. Finally, we outline future research directions, emphasizing the need for adaptable and real-time detection systems to counter evolving phishing tactics. This review serves as a valuable resource for researchers and practitioners seeking to develop more robust and effective phishing website detection solutions.
IoT and Web based Cardiac Arrhythmia System using Machine Learning
Authors: M Radha H , Kodagali Sushma N , Biswagar Dr. Prakash
Published: June 2024

Abstract: Cardiac arrhythmias pose significant health risks and require continuous monitoring for early detection and intervention. In this project, we propose the development of an integrated IoT and web-based system for real-time cardiac arrhythmia detection and monitoring using machine learning techniques. The system comprises an ESP32 microcontroller interfaced with temperature, ECG, and heartbeat sensors, enabling seamless data collection from patients. Collected data is transmitted to the cloud platform ThingSpeak for storage and visualization, facilitating real-time monitoring of vital signs. Concurrently, a machine learning model trained on labeled ECG data is employed to analyze ECG signals for abnormal patterns indicative of arrhythmias. Upon detection of irregularities, the system triggers alerts through Twilio's messaging API, notifying designated recipients for timely intervention. A web interface provides healthcare professionals with remote access to patient data, facilitating comprehensive monitoring and analysis. This project aims to provide an efficient and scalable solution for continuous cardiac arrhythmia monitoring, enhancing patient care and safety.
Intellectual Property Rights in Agriculture: Plant Variety Protection and Food Security
Authors: Sugeng Sugeng , Aidy Widya Romasindah , Jr Andre Cardenas
Published: June 2024

This research explores the complex relationship between Intellectual Property Rights (IPRs) in agriculture, focusing on plant variety protection and food security. In this context, protecting plant varieties becomes key to enhancing agricultural productivity, addressing climate change challenges, and ensuring the sustainability of the food supply. Implementing intellectual property rights in agriculture also directly impacts the welfare of farmers and other stakeholders in the agricultural sector. Methodologically, this research adopts a normative approach, using various data sources and relevant analyses within the legislative framework. The research also elucidates the crucial role of institutions tasked with implementing plant variety protection measures within a broader IPR framework. The research findings indicate challenges and opportunities inherent in implementing plant variety protection measures, including legal and policy barriers, and opportunities for policy innovation and collaboration among government stakeholders, industry, and society. In conclusion, this research offers valuable insights into the complex dynamics between Intellectual Property Rights in agriculture, particularly plant variety protection, and food security. Furthermore, policy recommendations are proposed to strengthen regulatory frameworks for plant variety protection, enhance access to agricultural technology, and promote multi-stakeholder collaboration. Considering the complexity of the relationship between various aspects of IPR, plant variety protection, and food security, further research can explore innovative solutions to overcome existing barriers and capitalize on emerging opportunities. This may involve a more detailed analysis of existing legal and policy frameworks and exploring the practical implications of the policy recommendations outlined in the abstract in ensuring the sustainability of agricultural systems and food security in the future.
THE FEASIBILITY OF FUSING SATELLITE IMAGERIES FOR HIGH-FREQUENCY SEA LEVEL MONITORING
Authors: Putri Andriani , Nazhifah Sri Azizah , Ridho Abdurrahman , Maghfirah Hayatun , Mutia Cut , Niani Cukri Rahmi , Sanusi Sanusi
Published: June 2024

Enhancing the capacity to monitor swift environmental shifts at finer scales requires satellite image that offers high spatial and temporal resolution. However, no individual satellite can offer images meeting both criteria simultaneously. To tackle this challenge, spatial temporal fusion algorithms have been developed to derive fine-scale and time-series images. Conversely, effective monitoring of water levels is crucial for preventing natural disaster, such as flood and tsunami mitigation. Yet, monitoring these natural changes regularly poses challenges for remote sensing satellites, given their limitations in either spatial or temporal resolution. For instance, the spatial resolution of 30 meters of Landsat 8 provides imagery with a but lacks the temporal resolution needed to capture dynamic events. On the contrary, the Himawari 8 has the capability to monitor the entire hemisphere every 10 minutes. However, its inadequate resolution affects the precision of sea water change mapping.  This research seeks to utilize Landsat OLI and Himawari-8 images jointly for tracking sea level variation patterns. Our approach involves calculating a water index from both Landsat and Himawari images, then using an image fusion algorithm to merge these indices. Next, we identify water coverage by applying a specific threshold on the water index. The comparison of water percentages with reference water height observations has delivered encouraging outcomes.
REDES DE COLABORAÇÃO CIENTÍFICA EM COOPERATIVAS NOS EVENTOS CIENTÍFICOS BRASILEIROS
Authors: Campos Gevair
Published: June 2024

Este artigo objetivou identificar as redes de colaboração científica entre pesquisadores e instituições de pesquisa, abordando cooperativas nos principais eventos da administração no Brasil. Assim, foram analisadas as publicações do período de 2011 a 2020, envolvendo cooperativas, nos eventos EnANPAD, SemeAD e SOBER. Foi realizada uma revisão sistemática da literatura brasileira, com base nas publicações nos eventos da EnANPAD, SemeAD e SOBER, analisando os ramos de atuação das cooperativas, as redes de colaboração científica entre autores e entre instituições e os aspectos metodológicos dos artigos analisados. Dentre os resultados, se observa que entre os autores a formação de pequenos e grandes grupos de colaboração, onde apenas dez autores publicaram sozinhos trabalhos no período. Já quanto as instituições, se observou a formação de pequenos e grandes grupos, mas 25,13% das instituições publicaram sozinhas no período. Nota-se que as redes de colaboração entre autores ocorrem em sua maioria dentro das mesmas instituições. E por fim, quanto ao ramo de atuação da cooperativa estudada, 55,99% compreenderam estudos em cooperativas agropecuárias.
Familias en el Viejo y el Nuevo Mundo
Authors: Lobo de Araújo María Marta , Rey Castelao Ofelia , Cowen Pablo , García González Francisco , Crespo Sánchez Francisco Javier , Sánchez Rubio Rocío , Testón Núñez Isabel , Angulo Morales Alberto , Andújar Castillo Francisco , Soria Mesa Enrique , Candau Chacón María Luisa , Atienza López Ángela , Betrán Moya José Luis , Suárez Golán Fernando , Andreucci Bibiana , Birocco Carlos María , Fernández Cristina Beatriz , Mallo Josefina , Otero Osvaldo , Rossi María Cecilia
Published: June 2024

En este libro no se pretende hacer un balance de aportaciones recientes, sino que, teniendo como eje de desarrollo el concepto de "familia" en un amplio sentido, demográfico y social, se intenta integrar las perspectivas micro-analíticas -estudio de familias específicamente desarrolladas a ambos lados del Atlántico, familias virreinales, de la nobleza, la administración e incluso la Iglesia– y las regionales –de territorios especialmente afectados por el paso de sus habitantes a América–, al lado de la dimensión "macro" derivada de los estudios de las estructuras familiares en América y en la Península Ibérica y de las migraciones entre ambos espacios. Ese enfoque múltiple es el fundamento mismo de la comparación y de la complementarie­ dad: un conjunto de lecturas diversas respecto a las teorías generalizadoras, la aplicación de métodos distintos y a las aportaciones y problemas de las fuentes documentales diferentes son esenciales en esta monografía; un eje que se refiere a cómo el modelo familiar castellano se impuso por medio de la legislación en América durante la colonización y, más allá, cómo se integró en las sociedades autóctonas y acabó mezclándose con los modelos locales; finalmente un eje dedicado a las migraciones y el paso a América como nexo entre las familias de ambos lados.
Utilização de pneu como parte de agregado na elaboração de um protótipo de piso intertravado
Authors:   , Teixeira Isabella França , Teixeira Larissa França , Aranda Rafael Santana de
Published: June 2024

Este estudo aborda a reutilização de pneus como uma solução ambientalmente amigável. A quantidade considerável de resíduos de pneus no Brasil, gerenciada por organizações como a Reciclanip, destaca a importância da sustentabilidade na construção civil. A pesquisa proposta visa avaliar a viabilidade do uso de pneus reciclados na composição de blocos de pavimento intertravado, com foco na resistência mecânica. Os objetivos incluem revisão bibliográfica, fabricação de blocos, ensaios de resistência e classificação dos materiais. A produção dos corpos de prova foi iniciada a partir do ensaio de peneiramento, necessário para definir a granulometria dos materiais de partida. Após este ensaio, foram montados corpos de prova para analisar a resistência mecânica de um piso contendo borracha de pneu em sua composição, seguindo a ABNT NBR 5738:2018. Foram testados inicialmente dois diferentes traços antes da moldagem, sendo o Traço 2 (1:0,25:0,50:0,25:0,47) o escolhido para os testes. Foram moldados dois corpos de prova para cada porcentagem de borracha adicionada (0%, 5%, 10%, 15%), substituindo o pó de pedra. A pesquisa visou analisar a substituição parcial de agregados por borracha de pneu inservível no concreto, comparando desempenhos. Usando o cimento CP V-ARI, além do concreto de referência. Aos 7 dias, 5% e 10% tiveram desempenho próximo ao padrão, enquanto 15% foram inferiores. Aos 14 dias, 5% e 10% atingiram resistência adequada, e aos 28 dias, todas ultrapassaram os 35 MPa, exceto 15%. A resistência diminui com substituições acima de 10%. O uso de borracha de pneu na produção de pisos intertravado mostrou-se viável e traz vantagens ambientais, mas desafios incluem custos elevados, falta de práticas comuns no Brasil e regulamentação.
Decisão de compra frente as embalagens de alimentos com FOP (Front-Of-Package)
Authors:   , Santos Geovana Alves dos
Published: June 2024

O Decreto Lei nº 986, de 21 de abril de 1969 define alimento como qualquer substância ou mistura de substâncias que fornecem ao organismo humano elementos normais para sua formação, manutenção e desenvolvimento. A industrialização dos alimentos é uma necessidade da população, pois, ela garante a segurança alimentar, entretanto, o consumo excessivo de alimentos industrializados normalmente é associado ao consumo excessivo de açúcares, gorduras e sal, contribuindo com problemas de saúde, como obesidade, diabetes tipo 2 e doenças cardiovasculares. Diante dos vários problemas de saúde identificados na população brasileira devido aos maus hábitos alimentares a legislação brasileira de alimentos atua como medida preventiva e ferramenta de saúde pública, com o objetivo de melhorar a alimentação brasileira, pois os rótulos são vistos como veículo de segurança alimentar e nutricional, garantia de saúde pública e direito humano a alimentação com qualidade. No entanto, os rótulos também podem ser ferramenta para o marketing, podendo promover alimentos considerados não saudáveis. A RDC nº429/20 busca sanar os problemas identificados pela população, como a falta de entendimento, confusões sobre a qualidade nutricional dos alimentos e a dificuldade de leitura e visualização das informações nutricionais. Desta maneira, o novo modelo visa comunicar de forma simples e fácil os principais atributos dos alimentos. Dentre as mudanças da nova rotulagem para alimentos, a lupa ou FOP (Front-of-package) no painel frontal é o foco desta pesquisa, pois busca identificar o processo de decisão de compra frente a essas embalagens. Nos resultados da pesquisa encontrou-se que a quantidade de lupas no painel frontal faz parte da decisão de compra, além de os consumidores estarem mais atentos aos rótulos dos alimentos na busca por alimentos melhores para se consumir.
Atuação da equoterapia no controle postural de crianças com paralisia cerebral
Authors:   , Risso Janaina Bastida , Orsi Julia Arruda Moraes , Lima Taina Kelly
Published: June 2024

Introdução: A Paralisia Cerebral (PC) é uma desordem no desenvolvimento motor que ocorre a partir de uma lesão primária cerebral, causando alterações na musculatura esquelética secundária e com isso traz limitações ao paciente. A equoterapia tem como objetivo auxiliar no desenvolvimento neuromotor utilizando o cavalo como um instrumento terapêutico, exigindo do cavaleiro um bom planejamento, um bom desenvolvimento de habilidades motoras, além de melhorar equilíbrio, tônus muscular, força muscular, autoconfiança e autoestima. Objetivo: Identificar a eficiência da equoterapia em relação ao controle postural em crianças com paralisia cerebral. Métodos: É uma revisão sistemática tendo como base para a obtenção dos artigos o auxílio das plataformas PubMed e Cochrane, onde obtivemos o total de 10 artigos em língua portuguesa, inglesa e espanhola. Resultados: A equoterapia tem benefícios em crianças que possuem paralisia cerebral de níveis I, II, III pois os mesmos possuem melhor mobilidade da pelve de maneira que consigam se beneficiar dos movimentos do cavalo para obter o controle postural, comparado a crianças com níveis mais elevados. Conclusão: A equoterapia é indicada para o tratamento das crianças que possuem paralisia cerebral pois independentemente do nível da paralisia, os portadores conseguem se beneficiar do mesmo, onde a frequência do tratamento não interfere no resultado final.
Estudo de dosagem e preparo de concreto em obras de pequeno porte
Authors:   , Bertola Bianca Zanuto , Sisterna Eliézer do Prado Sisterna
Published: June 2024

Neste trabalho realizou-se o estudo de dosagem de concreto em conjunto com a confecção de uma cartilha instrutiva para dosagem e utilização do mesmo em obras de pequeno porte. Foram abordados diversos temas que geram problemáticas no cotidiano de uma obra e influenciam o objetivo principal desta, como desperdício de materiais, má execução de componentes estruturais, patologias por vícios construtivos e principalmente a desinformação e/ou falta de treinamento dos trabalhadores do ramo referente as etapas e processos utilizados na construção civil, visto que este trabalho visa ajudá-los a obter este conhecimento para dosagem e utilização do concreto de forma manual e dessa maneira prevenir diversas complicações ocasionadas pelos fatores citados acima. Com um embasamento técnico e teórico em diversas pesquisas bibliográficas, calculou-se traços de concreto através do método ABCP (Associação Brasileira de Cimento Portland), o qual faz parte do conteúdo da cartilha, onde os traços calculados foram comprovados com ensaios de compressão axial regulamentados pela NBR 5739:2018 (NORMA BRASILEIRA), e slump test NBR 16889:2020. A cartilha também possui explicações sucintas sobre a forma correta de armazenagem, de acordo com a NBR 12655:2022, execução e utilização dos materiais para a confecção do concreto. Para as definições dos parâmetros utilizados no cálculo do traço, realizou-se pesquisas em campo com profissionais e estudantes da área da construção civil, pesquisas bibliográficas e com fornecedores locais. Portanto, conclui-se que a utilização da resistência de dosagem sem a aplicação do desvio padrão para o cálculo dos traços apresenta, no ensaio de compressão axial, resultados com valores inferiores aos desejados, dessa forma, para a elaboração da cartilha fornecida por este trabalho e aplicação da mesma em obras de pequeno porte, adotou-se os traços para resistências inferiores a estes, apresentando também informações pertinentes aos materiais e confecção do concreto, visto que esta, com base nas pesquisas de campo realizadas, servirá de auxílio aos trabalhadores da construção civil como um meio acessível de consulta.
Comparativo da produção da beterraba com biofertilizante e calda sulfocalcica
Authors:   , Ferrer Igor de Mello , Campos Vitor Prado de Sousa
Published: June 2024

A hortaliça do gênero Beta L., a beterraba, é uma das 17 hortaliças mais consumidas do mundo, podendo ter mais de uma utilidade além da alimentação, como por exemplo, a produção de açúcar. Há sempre desafios quando se trata do manejo de hortaliças, ainda mais quando também são folhosas e orgânicas, justamente pela sua vulnerabilidade durante o desenvolvimento do seu ciclo por não haver a aplicação de insumos químico caso haja alguma adversidade externa. Visando comparar a produtividade do cultivo orgânico e cultivo químico, na mesma condição de ambiente e do solo, foram cultivadas mais de 300 mudas no total para que pudéssemos obter a produtividade dos dois tratamentos (orgânico e químico) e avaliar as vantagens e desvantagens de cada sistema de cultivo em um mesmo ambiente. Foram obtidos os seguintes resultados: a média da massa fresca do tratamento orgânico foi em torno de 30 g, já a do tratamento químico, 40 g. De acordo com o presente experimento, logo após a colheita, fizemos a medição dos parâmetros avaliativos (massa fresca, comprimento médio foliar, circunferência média do fruto e comprimento médio do pé de beterraba), e foi possível concluir que há pouca diferença na produtividade que em larga escala, os números da produção podem acabar sendo mais significativos, porém, para pequenos e médios produtores, a comercialização de alimentos orgânicos, podem ser no mínimo 30% mais alta do que o alimento produzido de forma convencional, com um custo de produção menor, sendo assim, um bom custo-benefício para o produtor que almeja a produção de orgânicos.
Efeitos de um programa de exercícios físicos em crianças e adolescentes asmáticos: revisão sistemática
Authors:   , Magnusson Gabriela , Leitão Giovanna Veloso Gonzaga , Oliveira Pedro Henrique Curaçá de Oliveira
Published: June 2024

Introdução: A asma é uma doença inflamatória crônica, ligada à hiperresponsividade brônquica. Ela está relacionada com a forma que o organismo do indivíduo reage à fatores ambientais, e gera diversas alterações no sistema respiratório do paciente. A patologia é caracterizada por períodos de agudização, que impactam de forma negativa a vida do paciente, deteriorando a saúde pscicológica, diminuindo a qualidade de vida, e prejudicando a função respiratória. O atendimento fisioterapêutico faz parte do tratamento para essa população, sendo realizado, principalmente, por meio de exercícios aeróbicos. Objetivo: O objetivo do presente trabalho é reunir os principais achados da literatura atual quanto aos efeitos do treinamento aeróbico na asma em população pediátrica e adolescente. Métodos: Foi realizada uma busca nas bases de dados MEDLINE (via Pubmed), PEDro (Phisiotherapy Evidence Database) e CochraneLibrary, usando os descritores “asma”, “pediátrica” e “exercício”; os ensaios clínicos encontrados foram filtrados por ano de publicação (2019-2023) e por idioma (inglês e português); os remanescentes foram analisados, e 3 deles estão incluídos na revisão. Resultados: Os pacientes foram avaliados quanto à capacidade cardiopulmonar, aptidão cardiorrespiratória, qualidade de vida, controle da asma, funcionalidade, força muscular periférica e respiratória, sintomas da asma, uso de medicação de resgate, inflamação das vias aéreas, ansiedade e depressão; boa parte dos resultados apresenta melhora dessas características nos grupos que receberam os exercícios aeróbicos. Conclusão: A presente revisão possibilitou a constatação que o exercício aeróbico é comum no tratamento da asma em crianças e adolescentes e, apesar das limitações, produz resultados satisfatórios para o paciente.
Migrações internacionais na França: uma perspectiva histórica sobre a xenofobia e suas raízes culturais e políticas
Authors:   , Manfio Isadora Gardenal
Published: June 2024

As migrações internacionais desempenham um papel central nas sociedades contemporâneas, moldando as dinâmicas culturais, sociais e políticas. Este estudo concentra-se na França, um país com uma longa história de migração, onde as tensões relacionadas à xenofobia têm persistido ao lado de uma rica herança cultural e política. O objetivo desta pesquisa é investigar as "Migrações Internacionais na França: Uma Perspectiva Histórica sobre a Xenofobia e Suas Raízes Culturais e Políticas". A história migratória da França é marcada por uma diversidade de culturas e identidades que enriqueceram a nação, mas também por momentos de conflito e hostilidade em relação ao estrangeiro. Este estudo explora as origens históricas e culturais da xenofobia na França, bem como suas manifestações políticas ao longo do tempo. Para compreender essa dinâmica complexa, é essencial analisar as políticas de imigração, as mudanças sociais e as tensões culturais que influenciaram o país ao longo dos anos. Além disso, o estudo examina como a França enfrenta os desafios contemporâneos relacionados à migração, considerando o contexto global de polarização e movimentos populistas. A pesquisa também investiga as políticas públicas, os discursos políticos e os debates culturais que moldam a relação entre migração e xenofobia na França atual. Através dessa análise, busca-se oferecer insights sobre as complexidades das migrações internacionais na França e suas implicações para a sociedade e o cenário internacional.
Unpaired fundus image enhancement based on constrained generative adversarial networks
Authors: Yang Luyao , Yao Shenglan , Chen Pengyu , Shen Mei , Fu Suzhong , Xing Jiwei , Xue Yunxin , Chen Xin , Wen Xiaofei , Zhao Yang , Li Wei , Ma Heng , Li Shiying , Tuchin Valery , Zhao Qingliang
Published: June 2024

Fundus photography (FP) is a crucial technique for diagnosing the
progression of ocular and systemic diseases in clinical studies, with
wide applications in early clinical screening and diagnosis. However,
due to the non-uniform illumination and imbalanced intensity caused by
various reasons, the quality of fundus images is often severely
weakened, brings challenges for automated screening, analysis and
diagnosis of diseases. To resolve this problem, we developed strongly
constrained generative adversarial networks (SCGAN). The results
demonstrate that the quality of various datasets were more signiﬁcantly
enhanced based on SCGAN, simultaneously more effectively retaining
tissue and vascular information under various experimental conditions
. Furthermore, the clinical effectiveness and robustness of this
model was validated by showing its improved ability in vascular
segmentation as well as disease diagnosis. Our study provides a new
comprehensive approach for FP and also possesses the potential capacity
to advance artificial intelligence-assisted ophthalmic examination.
Kurt Gödel and the logic of concepts
Authors: Kostic Jovana , Vujosevic Slobodan
Published: June 2024

The literature dealing with G?del?s legacy is largely preoccupied with
challenging his philosophical views, regarding them as outdated. We believe
that such an approach prevents us from seeing G?del?s views in the right
light and understanding their rationale. In this article, his views are
discussed in the philosophical realm in which he himself understood them. We
explore the consequences of G?del?s incompleteness theorems for the question
of the objectivity of mathematics and its epistemology. Taking set theory as
the paradigm of formal mathematical theories, we examine the relationship
between its incompleteness and extensionality. We argue, based on his
philosophical views, that G?del believed incompleteness can be overcome only
by some intensional considerations about concepts from the basis of
mathematical theories. These considerations should eventually lead to
founding the so-called logic of concepts.
Arithmetic functions at factorial arguments
Authors: De Koninck , Verreault William
Published: June 2024

For various arithmetic functions f : N ? R, the behavior of f(n!) and that of
? n?N f(n!) can be intriguing. For instance, for some functions f, we have
f(n!) = ? k?n f(k), for others, we have f(n!) = ? p?n f(p) (where the sum
runs over all the primes p ? n). Also, for some f, their minimum order
coincides with lim n? ?f(n!), for others, it is their maximum order that
does so. Here, we elucidate such phenomena and more generally, we embark on
a study of f(n!) and of ? n?N f(n!) for a wide variety of arithmetical
functions f. In particular, letting d(n) and ?(n) stand respectively for the
number of positive divisors of n and the sum of the positive divisors of n,
we obtain new accurate asymptotic expansions for d(n!) and ? (n!).
Furthermore, setting ? 1(n) := max{d | n : d ? ?n} and observing that no one
has yet obtained an asymptotic value for ? n?N ? 1(n) as N ? ?, we show how
one can obtain the asymptotic value of ? n?N ?1(n!).
Reduction in Production on Kernel-Based Export Products and Coconut Oil Industry in Sri Lanka
Authors: MKSLD Amarathunga
Published: June 2024

Coconut is one of the most commercially important crops in Sri Lanka. The country requires around 3,600 million nuts per year to meet the current demand. However, the current annual production ranges between 2,500 and 3,100 million nuts, indicating a shortage in nut production. This study aims to investigate the impact of declining coconut production in Sri Lanka on kernel-based export products and coconut oil (excluding export). The study involved collecting primary data through a cross-sectional survey. This included interviews with 120 kernel-based exporters, palm oil importers, and dehydrated chip-importing millers. The participants were selected using stratified purposive sampling, and three semi-structured questionnaires were administered. In addition, secondary data was gathered from the Coconut Development Authority. The ARIMA (2, 1, 1) model was utilized to forecast potential fluctuations in coconut production in Sri Lanka over the next 5 years, aiming to determine whether production would range between 2500-3000 million nuts. The model projects nut production to be 2,626, 2,833, 2,978, 2,850, and 2,761 million nuts for the respective years. The Friedman test confirmed a significant difference (P<0.05) among the statements related to the sustainability of raw material supply and the sustainability of final product supply of kernel-based products for the export market. According to the statistical analysis, the production of kernelbased export companies would be affected by a decrease in annual nut production. However, they would continue to export even if the annual nut production decreases due to their strong supplier base. The study found a significant difference (P<0.05) in the impact of imported dehydrated chips. The research revealed that due to most existing coconuts being used in the milk industry, millers were unable to meet the demand for coconut oil because of a shortage of raw materials. The findings of this study propose to develop and implement strategic plans to address the projected decline in nut production in Sri Lanka and to create comprehensive strategies for the equitable distribution of coconut resources to support both domestic and international coconut-based industries.
Chronic Renal Failure-Etiology, Pathophysiology, Symptoms, Diagnosis and its Management through Electro-Homeopathy: An Overview
Authors: S* Mishra
Published: June 2024

Chronic Renal Failure (CRF), a progressive, irreversible deterioration in renal function in which the body’s ability to sustain metabolic and fluid and electrolyte balance fails, resulting in uremia or azotemia, is a global public health problem that tends to take dimensions of epidemic and has severe impact on quality of patient’s life. Chronic kidney diseases represent a noteworthy health problem across the globe with CRF. The clear-cut prevalence of CRF worldwide was obscure due to the clinical continuum ranging from indolent, asymptomatic to complete renal decompensation. Thus, continual inputs through a series of research considering various conventional and certain earlier techniques in background, along this thrust medical area, led an emerging and medically most precise technique, namely, Electro-homeopathic therapy that has been currently in practice by a number of practitioners in India revealing fascinating outcome without any significant post therapeutic physiological and/or biochemical side effect as well as risk factor. The efficacy of the Electro-homoeopathy treatment for chronic kidney disease has been successfully monitored over a period of 30-60 and 30-80 days, respectively, in the case of GFR and renal lithiasis, based on improvement in the subjective parameters and blood investigations. Nevertheless, paralysis of bladder cases was cured within 30 to 60 days of treatment. The outcome of this overview provides new insights into developing and establishing more and more advanced account of Electro-Homeopathic system for accurate diagnosis enlightening specific root cause/origin (Etiology) and smooth-running management of ‘Chronic Renal Failure’ as well as its manifestation.
Bacterial Contamination of Drinking Wells in Makurdi Metropolis
Authors: JI Odo
Published: June 2024

This study was carried out to assess the bacterial contamination of drinking wells in Makurdi metropolis. Fifteen (15) untreated water samples, five (5) each were collected from wells in High Level, Wurukum and Wadata areas for physicochemical and bacteriological analysis was done using pour plating and the bacteriological quality was assessed by measuring the total viable, total coliform and fecal coliform counts of bacteria in the samples using Mac Conkey agar and Nutrient agar. The results of the analysis showed that the pH ranged from 6.70 ± 0.16 to 7.40± 0.87, the temperature levels ranged from 28.72 ± 0.04 to 28.87 ±0.05; biological oxygen demand values ranged from 0.02 ±0.04 to 0.02 ± 0.41; the dissolved oxygen values ranged from 1.50 ±0.16 to 170 ± 0.14 while the Electrical conductivity values ranged from 599.20 ±88.98 to 1582.80±199. The results also showed the total viable count, total coliform count and fecal coliform counts ranging from 75.80±16.01cfu/ml to 117.40±34.45cfu/ml; 5.60±5.13cfu/ml to 6.60±6.88cfu/ml and 0.40±0.89cfu/ml to 4.20±3.77cfu/ml respectively. The total viable counts ranged from 75.80±16.01 to 117.40±34.4 (Wadata having the highest and Wurukum having the least), the total coliform counts ranged from 5.60±2.61 to 6.60±6.88 while the fecal coliform count ranged from 0.40±0.89 to 4.20±3.77. The variation in Total Viable Count (TVC) across locations could be as a result of localized factors influencing microbial populations and geographical differences such as land use, anthropogenic activities, and environmental conditions. The bacterial isolates were Bacillus, Escherichia coli, Klebsiella spp, Proteus spp, Enterobacter spp, and Staphylococcus spp. The frequency of occurrence and prevalence percentages of the bacteria isolated from the well water samples show that Klebsiella spp had the highest percentage (23.33%) while Enterobacter spp and Escherichia coli had the least prevalence percentage, representing 10.00% each. Overall, High Level had the highest contamination rate, accounting for 43.33% of the total contamination while Wurukum had the least contamination, representing 23.33% of the total contamination. The distribution patterns of bacterial isolates among the studied locations illuminate discernible trends. The prevalence of pathogenic bacteria in well water sources could be possibly linked to higher urbanization and population density, highlighting the dynamic and site-specific nature of microbial communities. The study highlights the importance of using specific plans to manage water quality. These plans should take into account the special features of each area.
Evaluation of Seed Germination Parameters of Kalmegh Genotypes in Nursery
Authors: Kumar Jai , Nayak Hiranmayee , Sinha Animesh
Published: June 2024

An experiment was conducted during June-July of 2018 and 2019 at Birsa Agricultural University, Ranchi, Jharkhand, India to screen out the most promising genotypes suited for the climatic and edaphic conditions of Jharkhand. Mean number of days taken for completion of seed germination varied from 3.33 days (OAP6) to 13.67 days (JHAP3). Germination period of different Kalmegh genotypes varied from 6.33 days (OAP6) to 15.67 days (JHAP2, JHAP3 and CHAP1). Out of the days taken to complete germination period, nearly 43% of the time was required for seed germination initiation and 62% time to achieve 50% of final germination count. Once the seed started germination, it took 8.82 days to complete seed germination i.e. 57% time was required from initiation to completion of germination. Germination trend of seeds shows that most of the seeds germinated between third to sixth days. Mean germination percentage varied from 21.00% (OAP1) to 97.67% (MPAP3). Altogether eight genotypes namely JHAP1, OAP6, MPAP2, MPAP3, MPAP4, IC111286, IC471890 and GAP1 showed excellent germination percentage having value more than 90.00%. Three Kalmegh genotypes (MPAP3, OAP6, JHAP1) gave highest germination percentage (94.00, 93.00 and 90.67%) respectively. The five genotypes namely; JHAP1, OAP6, MPAP2, MPAP3, and GAP1 were found as most promising genotypes of Kalmegh suited for the climatic and edaphic conditions of Jharkhand.
The Use of Online Media “alefbata.com” in Improving Arabic Listening Skills: Experimental Study
Authors: Ubaidillah Ubaidillah , Millah Fanni Izzatul , Sapitri Neli
Published: June 2024

Teachers often overlook listening skills during the learning process, resulting in students needing help with this core skill for second language acquisition. Observations have shown issues with Arabic listening skills and a need for more utilization of online media in the learning process. Thus, this study aims to implement the online media website alefbata.com to enhance the Arabic listening skills of students in one of the MTs in Pandeglang Banten. The researchers employed experimental methods, including observation instruments, interviews, pretests, and post-tests, to collect data and determine the effectiveness of alefbata.com in improving listening skills. After analyzing the data, it is evident that online media is efficacious in improving Arabic listening skills. The post-test results support the claim that students' listening ability increased after exposure to online media. The experimental class had an average score of 82.78, significantly higher than the control class's average score of 42.41, with a difference of 40.37. Therefore, there was an increase in students' listening skills after processing it using online media in teaching activities for class VII B Mts in Pandeglang.
The Effectiveness of the Teams Games Tournament Cooperative Learning Strategies in Qira'ah Jahriyah | faʿāliyat istikhdām istirātījiyyat al-taʿallum al-taʿāwunī binawʿ jawlāt ʾalʿāb al-farīq fī tadrīs al-qirāʾah al-jahriyyah
Authors: Wahyuni Ade Sri , Arifin Zainul , Rahmawati Rahmawati
Published: June 2024

Learning strategies are one of the key components in the teaching and learning process. Numerous studies have stated that the Teams Games Tournament (TGT), which is a part of cooperative learning strategies, has proven effective in improving student learning outcomes. However, its application in teaching Qira'ah Jahriyah (reading aloud) has not been widely explored. Therefore, researchers conducted a study at MTs.S Pondok Pesantren Al-Muttaqin Balai Belo Agam to determine the effectiveness of the TGT strategy in learning Qira'ah Jahriyah. The research employed a quantitative approach with experimental methods and utilized a Quasi-Experimental Design with purposive sampling. The sample consisted of 8th-grade students divided into two classes. Data collection was conducted using tests, and data analysis was performed using the t-test in SPSS 22. In the experimental class, the minimum posttest score was 75 and the maximum was 95, with a mean of 83.21. In the control class, the minimum score was 60 and the maximum was 85, with a mean of 73.57. The results showed that the t-test, Sig (2-tailed) 0.000 < 0.05, indicating a significant influence of the TGT cooperative learning strategy on the Qira'ah Jahriyah learning outcomes of 8th-grade students at MTs.S Al-Muttaqin Islamic Boarding School, Balai Belo Agam.
Innovative Thinking Approach in Designing Teaching Materials for Ilm Badi Course: A Comprehensive Framework for Enhancing Students' Writing Skills
Authors: Dalle Muhammad , Jundi Muhammad , Hamid M. Abdul , Machmudah Umi
Published: June 2024

Students face several challenges in learning Ilm Badi, including difficulty understanding learning objectives, a lack of comprehension regarding the classification in Ilm Badi materials, insufficient visual stimuli in teaching materials, and challenges in generating new sentences. These issues indicate a mismatch between theoretical understanding and practical language skills. Therefore, this study aims to design teaching materials for Ilm Badi with an innovative thinking approach to stimulate students' writing creativity. The research method employed is Research and Development (R&D), integrating the instructional material design procedure by Sa'ud with the ADDIE model. Data were collected through interviews, observations, and questionnaires. The results indicate that the innovative thinking approach is relevant in strengthening creative thinking processes in general and supports the teaching of Ilm Badi with a more progressive and contextual approach. The teaching materials produced through detailed design stages involve composing content in Arabic and Indonesian, utilizing additional visualizations, and designing exercises to encourage students' innovative thinking abilities. The teaching materials design process includes collaboration with relevant experts. It undergoes expert assessments, resulting in teaching materials that meet standards for use in Ilm Badi learning, emphasizing innovative thinking. Further studies are necessary to test the designed teaching materials' effectiveness empirically.
Ṭarīqah Mubāsyarah in The Learning of Arabic Speaking Skill: Study Analysis with Al-Iṭṭiṣāli Approach
Authors: Ritonga Nur'ainun , Putra Wahyu Hanafi , Isnaini Rohmatun Lukluk
Published: June 2024

This study aims to identify the steps, advantages, and disadvantages of teaching Mahārah Kalām using the Mubāsyarah method with the Iṭṭiṣāli approach. The research employs library research with a qualitative descriptive method. Data collection involves documentation, with primary sources including an article by Baroroh et al., entitled "Arabic Learning Based on a Communicative Approach in Non-Pesantren Schools," and secondary sources being books and scientific articles relevant to the study. Data analysis follows Milles and Huberman's theory, including data reduction, display, and conclusion drawing. The study identifies several steps in Mahārah Kalām learning using the Mubāsyarah method with the Iṭṭiṣāli approach: introduction, presentation of short dialogue formats by teachers, student writing of short dialogues, practice of dialogues, questioning, teacher reading of student dialogues, and evaluation. Advantages of this method include improved speaking skills, expanded vocabulary, pronunciation closer to native speakers, and the ability to analogize with other topics. However, its disadvantages include suitability only for small groups, the need for teachers to speak like natives, reliance on teachers to prepare materials, avoidance of the mother tongue, difficulty in identifying teacher mistakes, and the flawed theoretical basis equating mother tongue acquisition with foreign language learning. The research implies that the Mubāsyarah method is not the sole method for teaching Arabic speaking skills.