bluuebunny/crossref_metadata_2025 huggingface dataset:
Garlic: The Mystical Food in Health Promotion
Authors: Haider Rehan
Published: May 2024

Garlic (Allium sativum) has been valued for centuries for its medicinal properties. He has had this interest in recent years, it has accelerated several publications that reveal that it can also reduce the risk of heart disease and cancer.1–5 The ability of garlic and related ingredients to serve as antioxidants,6 affect immuno competence,7 and possibly even mental function8 testify to its health the consequences can be extremely widespread. Garlic, a member of the Alliaceae family, is one of the more economically important cultivated crops spice. A large amount of garlic is produced annually in China and India. 5.65 million in 2002 cwt. of garlic was harvested from 32,800 acres in the U.S.9 About 80% of this amount is produced in California. Although significant consumption occurs as fresh garlic, it is also found as dehydration, flakes, and salts in various food preparations. There are also dozens of garlic supplements commercially available as essential oils, garlic-oil macerate, garlic powder, or garlic extract. Garlicit continues to be one of the best-selling herbs in the US.
A complex case of severe acute hepatitis with cholestasis in a genetically predisposed woman: Could curcumin be the trigger?
Authors:   Biological Resource Center Unit, Transfusion Medicine, Fondazione IRCCS Ca Granda Major Hospital Polyclinic, Milan, Italy., Valent Luca
Published: May 2024

Drug-Induced Liver Injury (DILI) can present as cholestatic hepatitis and differential diagnosis with other etiologies is often challenging. The established trend of growth in consumption of Herbal Dietary Supplements (HDS) by the general population underlines the necessity
Mathematical Analysis for Optimizing Electro Discharge Machining Parameters and Enhancing Hastelloy Machining Efficiency
Authors: Alok R. Narkhede
Published: May 2024

This study investigates the process parameter optimisation for Hastelloy electro discharge machining (EDM). The goal of the research is to increase machining accuracy and efficiency by precisely changing the EDM process factors. The most important variables affecting tool wear, surface quality, and material removal rate are identified. In order to improve the machining performance for Hastelloy components, the research highlights the importance of factors including discharge current, pulse duration, electrode material, and dielectric fluid properties. The study's conclusions give important information about how to improve EDM procedures for this tough, corrosion-resistant hastealloy. Extensive research is conducted into the features of tool wear and their connection to process parameters in an effort to increase tool life and reduce manufacturing costs. The findings of this research offer useful data for optimising the efficiency of the Hastelloy EDM process in terms of both money and time. The growing need for high-performance components in industries including aerospace, chemical, and nuclear engineering is being addressed by this study, which intends to lay the groundwork for the development of efficient and environmentally friendly machining practises for Hastelloy. To do this, one must get a thorough comprehension of the interrelationships between the various process parameters.
Multi-Entity Real-Time Fraud Detection System using Machine Learning: Improving Fraud Detection Efficiency using FROST-Enhanced Oversampling
Authors: Maradana Durga Venkata Prasad
Published: May 2024

Fraudulent transactions pose a significant threat to financial institutions and e-commerce platforms. Machine learning models, trained on historical labeled data (fraudulent vs. legitimate transactions), are often employed to identify and prevent fraud. However, real-world datasets frequently exhibit class imbalance, where fraudulent transactions (minority class) are significantly outnumbered by legitimate transactions (majority class). Machine learning models may perform poorly as a result of this imbalance, underestimating fraud and favouring the majority class. This paper proposes a novel approach to address class imbalance and improve fraud detection accuracy. We explore the implementation of FROST (Feature space RObust Synthetic saTuration) oversampling, a technique specifically designed to generate synthetic samples for the minority class. The FROST function leverages the k-nearest neighbors (KNN) algorithm and a user-defined amplification factor (m) to create synthetic data points that closely resemble existing minority class instances. We integrate the FROST-enhanced oversampling technique into the machine learning pipeline for fraud detection. The paper evaluates the effectiveness of this approach compared to traditional oversampling methods and analyzes its impact on classification accuracy metrics.
Modeling and Sentiment Analysis of Social Relationships in Elderly Smart Homes Based on Graph Neural Networks
Authors: Qianqian Hu
Published: May 2024

With the expansion of Speech Emotion Recognition in the consumer domain, several devices, particularly those designed for managing smart home personal assistants for the elderly, have been widely available on the market. The increasing processing power and connection, together with the growing need to facilitate longer residency through technological interventions, highlight the potential benefits of smart home assistants. Enabling these assistants to recognize human emotions would greatly improve user-assistant communication, allowing the assistant to deliver more constructive and customized feedback to the user. In this research work, Modeling and Sentiment Analysis of Social Relationships in Elderly Smart Homes Based on Graph Neural Networks (SASR-MBHNN-BBOA) is proposed. The input data are collected from Social Recommendation Dataset. Then, input data are pre-processed utilizing Inverse Optimal Safety Filters (IOSF) for cleaning the data and removing the background noise. Then the pre-processed data are given to Memristive Bi-neuron Hopfield Neural Network (MBHNN) for predicting the sentiments like positive, negative and neutral. In general, MBHNN doesn’t express some adoption of optimization approaches for determining optimal parameters to predicting the sentiments accurately. Hence BBOA is proposed to optimize MBHNN classifier which precisely predicts the sentiments in elderly smart home. The proposed SASR-MBHNN-BBOA method is implemented in Python, and it assessed with numerous performance metrics such as accuracy, precision, recall, F1-score, ROC. The outcomes show SASR-MBHNN-BBOA attains 20.8%, 19.5%, and 29.6% higher Accuracy, 28.8%, 22.5%, and 32.6% higher Precision, 15.5%, 27.4%, and 18.2% higher Recall are analysed with existing methods such as, Emotional speech analysis in real time for smart home assistants.(SASR-CNN-SHA), Machine Learning to Investigate Elderly Care Requirements in China via the Lens of Family Caregivers (SASR-ML-IECR),Identifying User Emotions via Audio Conversations with Smart Assistants (SASR-DNN-EASA) methods respectively.
Talent Cultivation Quality of Software Engineering Majors Based on Deep Learning
Authors: Mengzi Zhang
Published: May 2024

Online learning, to cultivate talents it is inevitable to encounter some pictures or videos with poor visual quality. Deep-learning algorithms are both data-hungry and expensive to compute. These algorithms work better after being trained on a broad and extensive collection of samples. The current moment deep learning methods must urgently make use of human intellect to address the issue in a way that reduces the most expensive effort computationally. This paper analyzes the current situation of software engineering talent cultivation quality of software engineering to enhance the quality of the education is improved by Hierarchically Gated Recurrent Neural Network (HGRNN). The aim of the work is to foster the development of world-class software engineering talents. Initially, the input data’s are gathered from public dataset train 400 with 400 grey pictures. HGRNN is image de-noising module, as for the smart teaching platform to assist instructors in obtaining teaching photography with high quality and improve teaching quality. The proposed model is implemented in MATLAB/ Simulink platform and the accuracy is compared to various existing approaches such Back Propagation Network (BPN), Artificial Neural Network (ANN) and Decision Tree Algorithm (DTA) our proposed method obtains 98% of accuracy.
Simulation Design of Three Phase Grid Integrated EV Charging Station with Renewables
Authors: Manish D. Patel
Published: May 2024

The potential for improving sustainability in the transportation sector is considerable when renewable energy sources are combined with electric vehicle (EV) charging stations. The design methodology for a three-phase grid-integrated EV charging station that integrates renewable energy sources is presented in this paper using simulation-based design. The suggested system seeks to reduce grid dependency, maximize the use of renewable energy sources, and optimize energy management. Utilizing cutting-edge software tools, the simulation model is created to evaluate the integrated system's viability and performance under various operating scenarios. The study offers insightful information for the planning and development of sustainable transportation solutions and emphasizes the possible advantages of incorporating renewable energy sources into EV charging infrastructure.In this paper, a power predictive model was presented to forecast EVs power demand and to enhance the CS performance, in order to avoid an extra burden on the grid during peak hours. PV array with storage battery supported by the grid increased the reliability and flexibility of the system.
A State-of-arts Review of Deep Learning Techniques for Speech Emotion Recognition
Authors: Kshirod Sarmah
Published: May 2024

In sophisticated Human-Computer Interfaces (HCI), the emotional state of the user is becoming a crucial component that is closely linked to emotional speech recognition. Spoken expressions, which can be a part of human-machine interaction, are an important source of emotional information. Speech emotion recognition (SER) in deep learning (DL) continues to be a hot topic, especially in the field of emotional computing. Current deep learning (DL) and neural network methods are applied in this highly active field of research. This is as a result of its expanding potential, advancements in algorithms, and practical uses. Quantitative factors such as pitch, intensity, accent and Mel-Frequency Cepstral Coefficients (MFCC) can be employed to model the paralinguistic data contained in human speech. To achieve SER, three key procedures are usually followed: data processing, feature selection/extraction, and classification based on the underlying emotional qualities. The nature of these processes and the peculiarities of human speech lend support to the employment of DL techniques for SER implementation. A variety of DL methods have been used for SER tasks in recent affective computing research works; however, only a small number of them capture the underlying ideas and methodologies that can be used to facilitate the three main steps of SER implementation. With a focus on the three SER implementation processes, we provide a state-of-the-art assessment of research conducted over the last ten years that tackled SER tasks from DL perspectives in this work. Various issues are covered in detail, including the problem of low classification accuracy of Speaker-Independent experiments and the related remedies. The review offers principles for SER evaluation as well, emphasizing indicators that can be experimented with and common baselines.
Quantum-Enhanced SOLAR Site Selection: A Novel MCDM Approach
Authors: Gunjan Mukherjee
Published: May 2024

In the pursuit of optimizing renewable energy sources, the selection of solar plant installation sites presents a complex decision-making challenge that involves multiple criteria. This research introduces a groundbreaking algorithm, leveraging quantum computing techniques to enhance Multi-Criteria Decision Making (MCDM) for solar plant site selection. The proposed algorithm harnesses the superposition and entanglement properties of quantum bits to evaluate extensive datasets and criteria with unprecedented speed and accuracy. By integrating quantum versions of established MCDM methods such as the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the algorithm provides a sophisticated tool for decision-makers. The research demonstrates the algorithm’s superiority over classical methods through rigorous simulation and validation processes. The findings suggest that quantum-enhanced MCDM can significantly streamline the solar plant site selection, paving the way for a more efficient deployment of solar energy infrastructure and contributing to a sustainable energy future.
Artificial Neural Network Based Performance prediction of Exergy and Energy Analysis of Gas Turbine Generator using Cycle-Tempo Software
Authors: Surrajkumar Prabhu Venkatesh
Published: May 2024

It is crucial for research to continuously seek innovative methods of generating additional electricity in order to meet the demands of everyone requiring it. Engineers can work to make the companies that provide electricity better. It is not possible to separate the parts of the system from how well the gas turbine generator works. This research introduces a new method to predict the performance of Gas Turbine Generators (GTGs) using Artificial Neural Networks (ANNs) combined with Cycle-Tempo software. The main emphasis of this method is on analysing the exergy and energy of the GTGs. GTGs are very important in many different industries. It is crucial to make them work efficiently to produce more energy and protect the environment. This research is new and different because it uses ANNs in a smart way to improve how research measure how well GTG works. The main advancement is in the automation part, where artificial neural networks are taught to independently collect and study data. They can adjust to changing conditions on their own, which greatly reduces the amount of manual work needed for analysis. This automation makes things easier and can change to different situations quickly. It helps industries that rely on GTG by meeting their changing needs. Moreover, the research uses complex computer algorithms to make very accurate forecasts about energy and exergy effectiveness, voltage output, and hydrogen production—an important measurement in GTG function. The results show that the accuracy is really good, with a small error of less than 1% and a high value of 0. 99 for the R-squared when compared to what was expected. The automation, detailed analysis, and accurate predictions of the novel technology help improve the efficiency and sustainability of gas turbine generators. This makes it a valuable tool for industries that rely on these generators for power.
Prevalência e desfechos desfavoráveis da sífilis congênita no estado do Ceará no período de 2018 a 2022
Authors: Lima Reangela Cintia Rodrigues de Oliveira , Galvão Marli Teresinha Gimenez , Maia Juliana Cunha , Sousa Marcos Windson Gonçalves de , Lima Maria Robervânia Rodrigues
Published: May 2024

Introdução: A sífilis é uma infecção bacteriana sistêmica curável e que pode ser crô-nica. Durante a gestação, a sífilis pode apresentar consequências graves, como abortamento, prematuridade, natimortalidade, manifestações congênitas precoces ou tardias e óbito do nascituro. A meta de eliminação da sífilis congênita, segundo a Organização Mundial da Saúde (OMS), é de menos de 0,5 caso por 1.000 nascidos vivos. Objetivo: Identificar a prevalência e os desfechos desfavoráveis da sífilis congênita em crianças <1 ano no Ceará. Métodos: Estudo transversal descritivo, realizado em março de 2023, com dados secundários disponíveis nos boletins epidemiológicos de sífilis de 2022 e pela plataforma IntegraSUS do Estado do Ceará, Brasil. O nível de confiança adotado foi 95%. Resultados: Foram notifi-cados, entre 2018 e 2022, aproximadamente 5.017 (média=1.358±DP=0,245, IC±19,1%) casos de sífilis congênita, tendo uma taxa de incidência de 12,1 casos/1.000 nascidos vivos. Isso representou um aumento na incidência, passando de 10,8 para 16,1 casos. A maior taxa de incidência de sífilis congênita no Ceará foi em 2022 (16,1%). As regionais descentrali-zadas de saúde com maior incidência de sífilis congênita são: Fortaleza (21,9%), Caucaia (14,6%), Baturité (12%), Juazeiro do Norte (12%), Maracanaú (11,1%) e Cratéus (10,4%). Quanto aos desfechos desfavoráveis relacionados à sífilis em crianças, tem-se 2,4% abortos (média=0,48±DP=0,096, IC±19,1%), 14,9% natimortos (média=3±DP=0,62, IC±19,1%), 4% óbitos (média=0,8±DP=0,277, IC±19,1%) e 12,6% tiveram evolução ignorada/em branco (média=2,52±DP=0,802, IC±19,1%). Conclusão: A prevalência da sífilis congênita apresentou média de 1.358 casos/ano no Ceará. Os desfechos desfavoráveis foram aborto, natimortalidade, óbito e ausência de registros. As altas taxas de incidência de sífilis con-gênita demonstram urgência em saúde. A literatura indica que a redução é possível com a integração entre linha do cuidado materno infantil, Saúde da Família, programas de infecção sexualmente transmissíveis, gestão, profissionais de saúde e comunidade.
Perfil epidemiológico da sífilis em idosos no estado do Rio Grande do Norte
Authors: Dantas Amanda Almeida de Medeiros , Vidal Iaponira da Silva Figueiredo , Nogueira Maria Vanessa , Oliveira Monique Mayara de
Published: May 2024

Introdução: Apesar dos avanços na prevenção, no diagnóstico e no tratamento, a sífilis é considerada uma doença reemergente no Brasil, e com o aumento da expectativa de vida e as descobertas científicas que favorecem a atividade sexual, tem-se observado um cresci-mento na população idosa. Objetivo: Conhecer o perfil epidemiológico dos casos de sífilis entre idosos no Rio Grande do Norte (RN). Métodos: Trata-se de um estudo epidemioló-gico, retrospectivo, de abordagem quantitativa, no qual foram utilizados os casos de sífilis na população com 60 anos e mais notificados, no Sistema de Informação de Agravos de Notificação (SINAN NET), no RN, de janeiro de 2011 a dezembro de 2022. Para a análise dos dados, foram consideradas as seguintes variáveis: idade, sexo, escolaridade, raça/cor, município de residência e região de saúde de residência. Resultados: No período analisado, foram identificados 845 casos de sífilis adquirida na população de 60 anos e mais, no RN, o que representa 6,1% do total de casos registrados no estado (13.660). A maioria era do sexo masculino (68,3%), com idade entre 60 e 64 anos (40,6%), da raça/cor parda (47,9%) e com escolaridade entre a 1ª e a 4ª série incompleta (14,9%) ou sem escolaridade (9,6%). Nesse período, verifica-se um crescimento de 990% no registro de casos e a taxa de detecção pas-sou de 5,3, em 2011, para 30,4 casos/100.000 habitantes, em 2021. Esse aumento foi obser-vado em ambos os sexos. A 7ª região de saúde identificou 54% dos casos e o município de Natal concentrou 43% do total de casos do estado. Conclusão: Os resultados evidenciam a necessidade de ações integradas de prevenção, por meio de campanhas de conscientização, da orientação individual e de grupos de apoio direcionados a essa população, entendendo os idosos como sexualmente ativos e que necessitam de maior atenção por serem uma popu-lação mais vulnerável para as infecções sexualmente transmissíveis.
Caracterização clínica e epidemiológica dos casos de monkeypox vírus atendidos no Centro de Testagem e Aconselhamento/Serviço de Assistência Especializada do interior de São Paulo
Authors: Vasconcelos Marianna Yumi Kawashima , Patrocínio Luciana Mazucato Fontes do , Silva Carla de Moraes e , Gustavo Andrea Nakamura Prates , Yano Terezinha Kinue , Rinaldi Marília Lele , Silva Anna Christina Tojal da , Mury Gabrielle de Souza , Abduch Renata , Ferrais Aracele A. Silva Nascimento
Published: May 2024

Introdução: O aumento súbito dos casos de monkeypox vírus no início de 2022 gerou um alerta de saúde pública no mundo todo. Nesse contexto, são imprescindíveis os estudos dos casos, dos fatores de risco, das apresentações clínicas e dos resultados da infecção. Objetivo: Caracterização clínica e epidemiológica dos pacientes com monkeypox vírus atendidos no Centro de Testagem e Aconselhamento/Serviço de Assistência Especializada (CTA/SAE) de Ribeirão Preto, São Paulo, no período de julho de 2022 a janeiro de 2023. Métodos: Estudo transversal quantitativo com dados extraídos dos prontuários e das fichas de notificação dos casos confirmados. Resultados: No total, foram coletadas amostras de lesões de 30 casos suspeitos, dos quais 23 foram detectados com a presença do monkeypox vírus pelo exame de RT-PCR. Todos os casos eram do sexo masculino, com idade média de 32,3 anos (desvio padrão [DP]=8,97), sendo 11 (48%) brancos e 10 (43%) pardos. Com relação à sexualidade, 20 (87%) eram homens que fazem sexo com homens (HSH) e 3 (13%) heterossexuais, 22 (96%) cisgêneros e 1 (4%) transgênero, e 20 (87%) afirmaram ter múltiplos parceiros sexuais, com média de 3,6 parceiros (DP=6,69) nas últimas três semanas. Além disso, 6 (26%) eram pessoas que vivem com HIV (PVHIV) e 11 (47%) eram usuários de profilaxia pré-exposição (PrEP). Suspeitou-se que a transmissão ocorreu por meio de atividade sexual em 91% dos casos. Os principais sintomas gerais apresentados foram adenomegalia (74%), febre (65%) e mialgia (65%). As formas de lesões predominantes apresentadas foram pústulas (78%), crostas (65%) e vesículas (39%), sendo acometidos principalmente a região genital (87%), o tronco, os membros superiores e os inferiores (43%). Durante os atendimentos, também foram realizados testes rápidos e/ou sorologias de infecções sexualmente transmissíveis (ISTs); três casos foram diagnosticados com sífilis e um caso novo de HIV. Por fim, o tempo médio de duração dos sintomas foi de 21,4 dias (DP=10,95) e não houve letalidade, porém dois pacientes necessitaram de internação. Conclusão: Os casos de monkeypox demandaram adequação do local de trabalho para isolamento e coleta das amostras, além de preparação da equipe multidisciplinar. A procura por atendimento do monkeypox também trouxe a oportunidade de testagem e de diagnóstico de outras ISTs. Destaca-se a importância da identificação dos grupos vulneráveis, do diagnóstico precoce e da promoção de educação sobre a doença.
Certificação da eliminação da transmissão vertical de HIV e sífilis em Guarapuava, Paraná
Authors: Camargo Angela Maria de , Souza Claudia Bahs de , Franzolo Mara , Silva Hiagor , Borecki Marlene Terezinha , Ribeiro Sueli , Michalak Ana Lúcia Carvalho , Fortini Priscila Ferreira , Horst Marcos , Borack Sérgio
Published: May 2024

A eliminação da transmissão vertical do HIV e da sífilis é um desafio em todo Brasil. O município de Guarapuava concorreu ao selo de certificação da eliminação da transmissão vertical de HIV e sífilis, sendo contemplada com a dupla certificação. Guarapuava situa-se na Mesorregião Centro-Sul do estado do Paraná e tem população estimada de 183.755 habitantes. É dividida em cinco distritos sanitários, tendo a vigilância em saúde e coordenação de informação como equipe de referência. A Atenção Primária conta com 33 Unidades Básicas de Saúde (UBS)e três unidades de urgências, que realizam testagem rápida de HIV/AIDS para toda a população. Tem um Serviço de Atendimento Especializado e Centro de Testagem e Aconselhamento (SAE CTA), realizando testagem rápida, diagnóstico, profilaxia pré-exposição (PrEP), profilaxia pós-exposição (PEP) e início da terapia antirretroviral (TARV), resgate de tratamento dos pacientes em abandono da TARV e projetos envolvendo universidades e ações extramuros. Também apresenta uma Clínica da Mulher, para acompanhamento de mulheres em gestações de alto risco, e comitê de mortalidade atuante, segurança de direitos e sigilo de dados. Tem uma unidade dispensadora de medicamentos e duas maternidades. Tem laboratório municipal. A saúde de Guarapuava tem por objetivos: realizar consultas e exames de pré-natal, prevenção, diagnóstico e tratamento de HIV e sífilis de forma precoce, evitar a transmissão vertical da mãe para o feto e, com isso, eliminar a transmissão vertical de HIV e sífilis. Guarapuava realizou de quatro a mais consultas de pré-natal, atingindo, em 2019, o percentual de 95,7% de cobertura. Em 2020, com a realização de quatro a mais consultas, atingiu 95,1% de cobertura de pré-natal. Realizou 100% de testes de HIV e sífilis, 100% de tratamento para gestantes infectadas e crianças expostas ao HIV. Apresentou taxa de 2,98 de sífilis congênita, em 2019, e zero, em 2020, e 91% das gestantes tratadas em 2019, e 96,5%, em 2020.
Efficacy of Digital Pricing Strategies on Customer Buying Decisions in the E-Commerce Industry: A PLS-SEM Approach
Authors: Abdulsalam Tajudeen Alaburo , Omolaja Remilekun Akimot , Tajudeen Rofiat Bolanle , Abdulazeez Sodiq Olamilekan
Published: May 2024

E-commerce is a vital component of global retail sustainability, expanding at a rate of 14% annually, fuelled by increased internet adoption (55%), with over five billion users worldwide. In Africa, e-commerce revenues have surged to $31.18 million, with Nigeria’s Business to Consumer (B2C) index hitting 53.2 points and boasting a 55% internet penetration rate in 2023, ranking fourth highest on the continent. The globalisation of markets has exposed ecommerce companies to economic downturns, compelling them to adopt strategic pricing approaches to ensure sustained profitability and competitiveness. Consumers have become more price-sensitive, emphasising the need for firms to accurately gauge pricing sensitivity to influence purchasing decisions effectively. This research explores how ecommerce stores utilise digital pricing strategies to impact the purchasing behaviour of Gen Z consumers in Nigeria. By employing an exploratory research design, the study utilised an online survey distributed through Google Form, targeting tech-savvy Gen Z consumers, who represent over 85% of the 384-sample size derived using the Borden sampling model. By being guided by the theory of planned behaviour, the PLS-SEM model indicates that special event pricing (0.433, 91.8% effect), sample product pricing (0.236, 85.0% effect), and loss leader pricing (0.236, 93% effect) significantly impact Gen Z’s consumer patronage (62.4%). Furthermore, product lining pricing (0.457, 93.7% high effect), captive pricing (0.161, 96.21% high effect), and optional pricing strategy (0.252, 96.0% medium effect) influence Gen Z’s online purchase satisfaction (67.2%). This underscores the importance of digital pricing strategies in shaping Gen Z’s online purchase behaviour. The research recommends the need for online stores to incorporate promotional and product mix strategies in business tactics; governments should monitor fair pricing practices, and online retailers should educate consumers about pricing strategies to foster informed purchasing decisions. The research acknowledges potential biases in data collection, stemming from unequal online access among Gen Z consumers, resulting in a partial representation of the diverse range of Gen Z behaviours across the continent, as various cultural, economic, and social factors can influence purchasing behaviours.
Identificação de fatores de riscos ergonômicos na atividade de expurgo de uma central de esterilização hospitalar
Authors: Silva Davi Avelino da , Ledic Neto Jerko , Lagranha Michela Lizzi , Alves Tiago Aurélio , Moro Antônio Renato Pereira , Vergara Lizandra Garcia Lupi
Published: May 2024

Objetivos: O presente estudo teve por objetivo identificar os fatores de riscos ergonômicos presentes na atividade de trabalho no setor de expurgo da Central de Material e Esterilização (CME) de um Hospital Universitário (HU), bem como, analisar o perfil sociodemográfico e profissional dos Técnicos de Enfermagem que atuam no setor. Metodologia: Participaram do estudo 22 trabalhadores enquadrados no cargo de Técnico de Enfermagem, conforme a Classificação Brasileira de Ocupação (CBO) 3222-05. O instrumento de coleta de dados utilizado foi um roteiro elaborado pelos autores e o Questionário Nórdico para sintomas musculoesqueléticos, ambos aplicados in loco em outubro de 2021. O presente estudo foi aprovado pelo Comitê de Ética em Pesquisa da UFSC e protocolado com o nº CAAE 51539021.9.0000.0121, sendo aprovado sob nº 5.003.058 em 28/09/2021 Resultados: As principais atividades identificadas que apresentam risco ergonômico foram a permanência na posição em pé, a inserção de materiais na lavadora termodesinfectora, a repetitividade de lavação e a esfregação dos materiais foram as principais. Ainda, 77,8% dos entrevistados declararam sentir ou terem sentido dor nos punhos e mãos, 66,7% no quadril e coxas e 55,0 % no pescoço e ombros nos últimos 12 meses. Considerações Finais: Conclui-se que as atividades desempenhadas no setor da CME possuem relação com os distúrbios Osteomusculares Relacionadas ao Trabalho identificados, cujas regiões corporais afetadas tem histórico de nexo causal com as atividades desempenhadas pelos profissionais vinculados ao setor. Portanto, para a melhora das condições de saúde desses profissionais, seria imprescindível repensar as condições ergonômicas no local, bem como repensar o fluxo das atividades, fatores que contribuem para a melhoria da qualidade de vida no trabalho.
Impact of Humic Substances on Alleviation of Soil Salinity and the Enhancement of Plant Productivity: a review
Authors: Abed Basim , Elham Khalifa Mahmood  , Abdullah M.S. Addaheri
Published: May 2024

Humic substances (HS) are a major component of organic matter in soil, and they have long been recognized for their ability to promote plant growth in a sustainable manner. Recently, there has been a lot of effort put into using multiple approaches to study the connection between the chemical structure of HS compounds and their effect on plant biological processes. Positive physiological responses at the local and systemic levels have been linked to the presence of specific functional groups in HS. Hormone-like signaling pathways are responsible for eliciting these reactions. This review was written with one goal in mind: to help readers gain a firm grasp on the research surrounding the application of HSs. The spatial arrangement of hydrophilic and hydrophobic regions, as well as the dosage, source, molecular size, degree of hydrophobicity, and aromaticity, all contribute significantly to HS's biological efficacy. Therefore, our hypothesis explains the beneficial effect of HS in salt-affected rhizospheres, likely attributed to both direct and indirect influences on plant metabolism, soil microorganism metabolism, soil nutrient uptake dynamics, and soil physical conditions. Keywords: Humic substance, germination, salinity, plant growth
Преимущества и недостатки цистатина С для оценки скорости клубочковой фильтрации
Authors: Ирискулов Б.У. , Жабборова М.И. , Хасанов У.Х. , Бердиев Н.Ф.
Published: May 2024

Скорость клубочковой фильтрация является основным индикатором для диагностики и прогнозирования почечных болезней. В настоящее время скорость клубочковой фильтрации обычно определяют по уровню креатинина в крови. Однако креатинин в крови считается недельным биомаркером, повышенный уровень сывороточного креатинина может варьировать в широком диапазоне в зависимости от многих неренальных факторов (возраст, мышечная масса, пол, степень обезвоживания и др.). Поэтому для оценки скорости клубочковой фильтрация необходимо определять биомаркеры в реальном времени, что обеспечит раннюю диагностику и ускорит проведение эффективных профилактических и терапевтических мер. В настоящее время существуют перспективные биомаркеры, которые точно отражают скорость клубочковой фильтрации и позволяют в самые ранние сроки диагностировать патологию и своевременно начать лечебные и реабилитационные мероприятия по предупреждению развития хронической болезни почек. Этим требованиям в основном соответствует цистатин С. В статье описаны преимущества и недостатки этого метода, а также применение в клинических условиях.
Factors Influencing the Competitiveness of Coffee Growers in Puebla, Mexico, to Export to the United States
Authors: Alcaraz Vera Jorge Victor , Villalobos Jose Guadalupe Vanegas , Rivera Ruben Chavez
Published: May 2024

This research aims to examine whether price, productivity, quality, innovation and technology transfer (TT), exchange rate, and financing are key factors that influence the export competitiveness of the coffee industry in the state of Puebla, Mexico. Previous studies on competitiveness have explored classical and neoclassical theories and new theories of international trade. We collected information by conducting an online survey using Google Forms, which included indicators for each of the variables studied. The multivariate regression model was employed to analyze the relationship between the dependent and independent variables, and we used the Statistical Package for the Social Sciences to process the data. The results indicated that the studied variables significantly affected coffee producers’ export competitiveness in Puebla. Specifically, the model’s exchange rate, quality, and productivity variables demonstrated considerable explanatory power. This underscored the importance of product quality, production volume, and factors related to the producer’s income in the decision to export coffee rather than sell it in the domestic market. Despite the emphasis placed on variables such as innovation and TT in the literature, they had limited relevance in the used model. However, we discussed several potential explanations for this outcome.
Yönetsel Bir Fonksiyon Olarak Planlamanın Uzaktan Eğitim Kurumları Açısından Analizi
Authors: Kıyık Kıcır Güzin
Published: May 2024

Yönetim sürecinde başlangıç aşamasında yer alan planlama kavramı amaçlara ulaşılıp ulaşılmadığına dair bir referans noktası olarak kabul edilmektedir. Geleceği öngörüp, tasarlayabilmek için ihtiyaç duyulan planlama fonksiyonunun kişi ve kurumlar tarafından doğru anlaşılması ve konumlandırılması gerekir. Bu araştırmada yönetim için önemli olan planlama fonksiyonu, uzaktan eğitim kurumlarındaki işleyişi açısından ele alınmaktadır. Çalışmanın temel amacı ülkemizde uzaktan eğitim faaliyetleri yürüten kurumlarda yönetsel işleyişi anlayabilmek ve planlama fonksiyonunun nasıl gerçekleştirildiğini irdeleyebilmektir. Böylece hem yönetim hem de uzaktan eğitim alanını ilgilendiren bulgular elde edilmiştir. Betimsel analiz metodunun kullanıldığı bu makalede verilere, uzaktan eğitim kurumlarında görev alan üst düzey yöneticilerle gerçekleştirilen görüşmeler ve doküman taramaları aracılığıyla ulaşılmıştır. Çalışmada ülkemizdeki uzaktan eğitim kurumlarında planlamaya en sık konu olan kararların operasyonel faaliyetler olduğu ortaya çıkmıştır. Kurumlarda stratejik planlama olarak adlandırılan uzun dönemli planlar yerine daha kısa ve orta dönemli planların tercih edildiği görülmektedir. Benimsenen vizyon ve misyon ifadelerine bakıldığında ise, kurumların eş biçimliliğe sahip olduğu dikkati çekmektedir.
Integration of Phenotypic Drug Efficacy and Molecular Chemogenomics Data
Authors:   , Kanev Georgi Kanchev
Published: May 2024

This thesis thoroughly analyzed the sequence, structure, and molecular interactions of the two major classes of protein kinases - eukaryotic and atypical. This analysis was intended to enhance our understanding of inhibitor binding and selectivity and to create advanced machine-learning pipelines capable of leveraging these differences to predict small molecules with desired polypharmacological characteristics.To reach this aim, the following objectives were defined: 1). Extend the KLIFS database with the atypical kinase class. 2). Systematically analyze the sequence, structural, and molecular interaction kinase data from KLIFS for new insights into inhibitor binding and specificity. 3). Integrate and curate bioactivity data from ChEMBL, KIEO, literature, and genomics data from COSMIC, dbSNP, and cBioPortal. 4). Develop a convolutional neural network pipeline that can learn from 3D kinase structures to predict the polypharmacological profiles of small- molecule protein kinase inhibitors.
The role of flight dispatchers: Analysis of workload balancing of scheduled domestic flights at the airport in Pasay city
Authors: P Tan Jay Francis , A Cairo Kim Nicole , P Dimaunahan Lance Louise , S Garcia Jerome , C Gumba John Paolo , P Lucido Mert Morgan , A Mendoza Neil Christian , C Par Lance Rommel , F Santos Curt Leuvrett James , Del Rosario Dr. Marianne Shalimar G.
Published: May 2024

This paper examines the role of flight dispatchers in analyzing the workload balancing of scheduled domestic flights at the airport in Pasay City. Various factors were analyzed to understand if there was a significant effect on how flight dispatchers balance their workload. Using the qualitative and quantitative research design, results were able to be identified. Out of 24 respondents, one factor shows a significant difference in Professional Adaptation in terms of the sex of the flight dispatchers. Using thematic analysis and phenomenology, Experience, and Maternity were the focal points of the informants when gender-related issues impacted the performance of flight dispatchers. The implications of this study are to identify and address issues on how these factors can affect the job performance and workload balance of a Flight Dispatcher.
FRAGMENTOS TEÓRICOS DECORRENTES DO PENSAMENTO DE DURKHEIM E WEBER SOBRE RELIGIÃO
Authors: Saar Gilda Aparecida Marcelino , Dias Rosa Mendes
Published: May 2024

A relação entre religião e sociedade tem sido objeto de estudo ao longo da história. Nesse contexto, Émile Durkheim e Max Weber desenvolveram teorias que abordam a religião como elemento central na vida social e cultural. Durkheim acreditava que a religião desempenha papel primordial na coesão social, unindo indivíduos em torno de crenças e valores compartilhados. Weber concentrou-se na relação entre religião e economia, afirmando que a ética religiosa influenciou o desenvolvimento do capitalismo. Este artigo tem por objetivo analisar fragmentos do pensamento de Durkheim e Weber sobre religião, explorando ideias, metodológicas e contribuições. Serão discutidas ainda as possíveis convergências e divergências entre as teorias, para entender a complexidade desse fenômeno social. As hipóteses defendem a ideia de que a religião desempenha papel essencial na coesão social e na organização cultural, influenciando a solidariedade e a formação do capitalismo. A questão-problema é: como a compreensão desses fragmentos teóricos contribui para a melhor compreensão da influência da religião na sociedade contemporânea. A bibliografia adotada é composta por fontes bibliográficas relevantes e atualizadas que abordam as contribuições de Durkheim e Weber, priorizando-se fontes acadêmicas de qualidade, garantindo fundamentação sólida para o desenvolvimento do artigo. Ao final, espera-se contribuir para o enriquecimento do debate e a melhor compreensão da influência da religião na sociedade, por meio da análise crítica das teorias de Durkheim e Weber.
DESIGNING ON E-LEARNING LESSONS FOR DEVELOPING IN HIGHER-ORDER THINKING SKILLS
Authors:   Department of Electronics and Telecommunication Engineering, Faculty of Engineering, Rajamangala University of Technology Thanyaburi, Pathum Thani 12110 Thailand, Wichaipanich Noraset
Published: May 2024

The book “Designing e-Learning Lessons to Develop Higher-Level Thinking Skills”, this book is suitable for those involved in the education industry. Whether it be teachers, including students interested in studying Education, computers, or Information technology. Especially students in the Faculty of Education or Education. To create learning skills that promote advanced thinking can be used to develop innovative research on educational media and can effectively create future educational media. This book is divided into 12 chapters, consisting of basic knowledge, elements, types, and standards of e-learning lessons. Including teaching strategies, organizing the learning environment, developing advanced thinking skills, principles of designing lesson screens, and programs for developing e-learning. In addition, lesson evaluations, research related to the lesson, and trends in the development of e-learning lessons in the future are presented. It can be seen that this book has content that covers both the part of students and learning. Teacher and teaching section Including research and future development leading to learning that promotes advanced thinking and designing teaching and learning materials that are up to date with the modern era.
IMPROVING ACADEMIC ACHIEVEMENT IN A SCIENCE AND TECHNOLOGY COURSE USING STAD COOPERATIVE LEARNING FOR EIGHTH GRADE STUDENTS
Authors:   Department General Science, Faculty of Education and Educational Innovation, Kalasin University,  Kalasin 46230 Thailand, Khamphu Phanuwat , Tippalert Tipubon ,   Department General Science, Faculty of Education and Educational Innovation, Kalasin University,  Kalasin 46230 Thailand, Payoungkiattikun Wisarut ,   Department General Science, Faculty of Education and Educational Innovation, Kalasin University,  Kalasin 46230 Thailand
Published: May 2024

This classroom action research demonstrates that the performance of eighth-grade students in science and technology courses using the STAD technique-based cooperative learning management was enhance to achieve a minimum of 70% and this technique yielded highest students' satisfaction. The sample group consists of 37 eighth-grade students from a school in Sakon Nakhon Province during the first semester of the academic year 2022, selected using purposive sampling. The research tools include a learning management plan, a 20-item multiple-choice achievement test on the topic of fluid, and a learning satisfaction form. The data analysis was based on averages, standard deviations, and percentages. The results show that students who were taught using the STAD technique-based cooperative learning management achieved an average score of 15.35 with a standard deviation of 2.07, exceeding the 70% success rate. The students expressed high levels of satisfaction with the STAD technique-based cooperative learning management, with an average overall satisfaction score of 4.42, and the highest satisfaction was reported for "teaching and learning activities" with an average score of 4.43.
COMPARISON OF LEARNING OUTCOMES ON 7 QC TOOLS BETWEEN UNDERGRADUATE STUDENTS STUDYING WITH BLENDED LEARNING AND TRADITIONAL LEARNING
Authors:   Department of Industrial Engineering Technology, Faculty of Engineering, Kasem Bundit University,  Bangkok 10510 Thailand, Rungrudesombatkit Satit , Rungrudesombatkit Winly ,   Department of Innovative Organizational Communication and Brand, Faculty of Communication Arts, Kasem Bundit University, Bangkok 10510 Thailand
Published: May 2024

This research is to compare learning outcomes in the areas of numerical analysis skills, communication skills, and information technology skills between undergraduate students studying with blended learning and traditional learning in the context of the course "Quality Control Tools" (Course code: IET.343). The focus is on the seven quality control tools, examining the effectiveness of blended learning in enhancing students' proficiency in these areas. The population is second-year student in the Faculty of Engineering, Department of Industrial Engineering Technology, a total of 125 students. The sample group consisted of 40 second-year students in the Faculty of Engineering, Department of Industrial Engineering Technology, who were enrolled in the course IET. 343 Quality Control, Semester 2/2020, which were obtained through purposive sampling. The sample group was divided into two groups: an experimental group and a control group. Then, 20 people were randomly assigned to the experimental group and 20 people to the control group by simple lottery method. Each learning is evaluated based on numerical analytic thinking skills, communication skills, and the use of information technology skills test. The statistics employed in this research were mean (x̄), standard deviation (SD), and F-test (One-Way MANOVA). The findings indicated that the blended learning group, which includes the average scores for numerical analysis skills (16.70), communication skills (10.65), and information technology usage skills (9.40), performed better scores than the traditional learning group. The traditional learning group had average scores for numerical analysis skills, communication skills, and information technology usage skills at 13.40, 9.10, and 8.20, respectively. These differences are statistically significant at the .01 level.
THE DEVELOPMENT OF LEARNING ACTIVITIES BY APPLYING GAMIFICATION TO ENHANCE FRENCH SPEAKING SKILL ACCORDING TO CECRL FOR UPPER SECONDARY STUDENTS
Authors:   Department of Education Program in Innovations in Learning and Teaching, Faculty of Graduate College of Management, Sripatum University, Bangkok 10900 Thailand, Kanruang Suriporn , Klinkesorn Phussadee ,   Department of Education Program in Innovations in Learning and Teaching, Faculty of Graduate College of Management, Sripatum University, Bangkok 10900 Thailand
Published: May 2024

This research was designed concerning about French learning activities based on gamification concepts in order to enhance students' French speaking skills according to the Common European Framework of Reference for Languages (CEFR). The samples used in the research were 32 students who were studying in grade 12 at Triamudomsuksa Nomklaokunnatee School in the academic year 2023 using purposive sampling. Data collection methodologies were used in this research regarding four lesson plans of French-speaking activities. Moreover, pretest and post-test assessments of the students' French-speaking skills were employed to find out the results of the research. The data. The collection was gathered from 18 periods of French language learning activities. The tests were done before and after learning the four lessons. The data were analyzed using mean score, standard deviation, one-sample t-test, and dependent sample t-test. According to the learning French speaking activities which were divided into 4 topics: Describing personalities, My activities, Asking questions, and Trading conversation as well as using the concept of gamification by allowing students to participate in collecting points and having Leaderboard, the results were shown that students' French speaking skill was significantly higher before they were employed the method at a level of .05, with the influence of the independent variable affecting the dependent variable at a large level. Additionally, it can be seen that students' French speaking skill was significantly higher than DELF A1 at a level of .05, with the influence size of the independent variable affecting the dependent variable at a high level.