bluuebunny/crossref_metadata_2025 huggingface dataset:
Feeding People in a Crisis
Authors: Winter Michael , Guilbert Steven , Wilkinson Timothy , Lobley Matt , Broomfield Catherine
Published: December 2024

Available open access digitally under CC-BY-NC-ND licence. ‘Panic buying’ at the start of the COVID-19 pandemic generated enduring media images of empty supermarket shelves and calls for food rationing. The fragility of the 'just-in-time' food system was seemingly exposed yet, as the pandemic progressed in the UK, there were remarkably few food shortages. This book reveals the changing patterns of food provision in the UK during that period, looking at how diets changed and how retail, processing, distribution and production businesses adapted. But beneath the apparent logistical success story, there were injustices as the more vulnerable struggled to access good quality food and some businesses received inadequate help. The authors consider the winners and losers in a time of rapid social change, the lasting impacts on the UK food system and lessons to be learned for a food system dependent on imports and large retailers and with a high burden of diet-related health issues.
Procurement Process Optimization: A Quantitative Assessment of Alternative Procurement Strategies
Authors: Calapre Gerame O. , Paspasan Rodin M.
Published: December 2024

Procurement is a process of obtaining supplies, materials, services and other resources. Public procurement refers to the entities governed by departments, bureaus, government branches and instrumentalities. This paper focused to evaluate the efficacy of the procurement process of the Department of Agriculture RFO VII: Alternative Mode of Procurement. The study made use of the mixed method through survey as means of data collection. The descriptive survey method using a survey questionnaire was utilized to investigate the degree of effectiveness in terms of resource, procedure and budget utilization, level of awareness of the procurement official on the protocol and problems affecting the process. The study found out that DA RFO VII has many things to consider with regards to the enhancement of the procurement activity. There were deficiencies in the operational requirements, procurement procedures and measures to enhance the budget utilization that resulted to the challenges which hampered the agency from achieving a streamlined process.
Artificial Intelligence and Higher Education in India – A Sociologicl Analysis
Authors: S.V Dr. Manjula.
Published: December 2024

Rapid advancements in artificial intelligence (AI) have the potential to revolutionize a number of industries, including education. This essay examines the possible effects of artificial intelligence (AI) on education, stressing both the advantages and disadvantages. Intelligent tutoring systems, administrative automation, AI-driven personalized learning, and the ethical issues surrounding AI in education are all covered in the examination. The study attempts to give a thorough grasp of how AI might change educational environments, enhance learning outcomes, and solve present issues by looking at current implementations and potential future developments. By offering a comprehensive evaluation and a list of potential directions for further research, this review paper aims to increase the corpus of information regarding the effects of technological innovation on the education sector. While acknowledging AI as a disruptive force for good, we also draw attention to its drawbacks, possible privacy and security risks, and the consequences of bias, abuse, and the spread of false information. The paper concludes by outlining the research gaps and posing queries meant to further our understanding of AI education. This article offers a thorough analysis of AI’s place in Indian higher education, stressing both its potential advantages and its significant drawbacks. Navigating this transforming path will require more study and real-world applications.
The Influence of Leadership on Small-Medium Enterprises’ Business Viability During Vulnerable Situation: E-Commerce Adoption as a Mediator
Authors: Kamaruddin Nurul Atikah binti
Published: December 2024

This study aims to examine either leadership skills lead to the viability of SME businesses during the vulnerable situation. The paper also offers some recommendations for those entrepreneurs to consider to improve their business viability which is in line with the current technology era.
Breaking the Chains of Poverty: Unraveling the Influence of Decent Work in Cameroon’s Journey towards Prosperity
Authors: Yume Esuka Mike-Valery , Olong Christopher Eho
Published: December 2024

This paper attempts to establish a relationship between decent work and poverty and what improvements of decent works would do in breaking the chains of poverty to propel Cameroon towards prosperity. The study, conducted on cross-sectional data of the fourth round of the Cameroon Household Consumption Survey, used the two stage least squares estimation strategy and found out that with decent work factors, such as wages, fair remuneration, employment security, and an encouraging environment for developing skills, household incomes would increase and poverty in Cameroon reduced. This therefore implies that improvements in decent work opportunities will be a sure way of reducing poverty levels in the country. Considering the positive effect of decent work on the reduction of poverty, efforts by the policymakers should focus on creating an enabling environment for decent work. This shall include putting in place labour regulations that protect workers’ rights, promote fair wages, and offer social protection. By giving precedence to policies that improve the availability of decent work opportunities, governments can contribute to other socio-economic objectives of reducing poverty and improving food security outcomes in Cameroon.
From Policy to Practice: The Influence of Institutional Quality on the Management of Migration in Africa
Authors: Malike Elangwe Cyntia , Emmanuel Ongo Nkoa Bruno , Rene Minkoua Nzie Jules
Published: December 2024

This study assesses the extent to which institutional quality affects international migration in Africa, using a panel data of 44 countries within the time period of 2000 to 2020. The new economics of labour migration theory and the new institutional economics theory were mobilized. Through the adoption of the principal component analysis, the institutional quality index variable was obtained by the joint combination of the six institutional quality measures including; voice and accountability, political stability, rule of law, control of corruption, government effectiveness and regulatory quality. The study employed the use of the generalized methods of moments estimation technique to investigate the relationship between institutional quality and international migration in Africa. Findings show that government effectiveness, political stability, regulatory quality and the institutional quality index have positive significant correlation with international migration in Africa; the control variables including carbon-dioxide emissions, infrastructure, unemployment, inflation, population growth, total natural resource rents, trade openness and gross fixed capital formation all record positive and negative significant correlations international migration and these results were robust to those analysed by use of the simultaneous quantile regression and the Driscoll and Kraay standard errors estimation techniques. The study therefore, recommends that the governing organs of the nations in the African Continent should endeavour to stimulate cooperation, develop concrete political policies regarding immigration and co-development through effectively ensuring the adoption of strong natured institutions that embark on sustainably adhering to equitable reduction in corruption practices, political instabilities and full government effectiveness in every sector of the nations.
Indigenous Knowledge of Childhood Education among Konso, South West Ethiopia
Authors: Choto Mando Doyo , Girata Tadesse Jaleta , Kuyawo Serawit Kumana , Ejersa Dadi Chachu , Kanke Kulu Danbi
Published: December 2024

The Konso are Cushitic language speaking communities of southwestern Ethiopia with distinct Indigenous knowledge of what they know and do, and what they have known and done for generations. Like other indigenous communities in this world, they have unique culture and way of life. The overall objective of this study understands the indigenous knowledge of childhood education among Konso which have the following specific objectives. Understanding the basic indigenous knowledge of children’s among Konso, understanding the basic institutions of childhood education among Konso, understanding the mechanisms of learning indigenous knowledge of childhood education in the study area and finally understanding the challenges that indigenous childhood education faces. The research applied qualitative research approach and ethnography as its enquiry mechanism. Primary data was collected by different ethnographic methods like key informant interview, focused group discussion and observation. The key informants are selected by purposive sampling technique from the Two Konso topographic areas of Karatte and Kenna and the data is analyzed by thematic interpretation with data triangulation technique. The findings of the study reveal that children’s among Konso acquire indigenous knowledge in two basic institutions i.e. Moora institution and Family institutions. As their teaching mechanisms, the families also the elders at Moora teach them in the form of poem and the other through observing different activities in and out of home. The highest challenge for ingenuous knowledge of childhood education among Konso is modern education, religious institution and westernization. Finally, the researchers recommend that ingenuous knowledge is a heritage for human society therefore it should be protected and kept away from diaper. Therefore, the responsibility is for all the communities, academicians culture and tourism bureau to work in cooperation to protect them.
ANÁLISE DE ESTRATÉGIAS PARA DISPONIBILIDADE DE MATERIAIS EM MANUTENÇÃO DE MÁQUINAS DE VIA: UMA REVISÃO SISTEMÁTICA
Authors: De Melo Gilson Ricardo , Gonçalves Rosado Carlos Antônio
Published: December 2024

This systematic research addresses the critical importance of material availability for the effective maintenance of track machines, a fundamental element to ensure safety and efficiency in railway operations. The central problem investigated focuses on the challenges faced in provisioning these materials, including logistical issues, stock errors, and delivery delays, which can compromise timely and efficient maintenance. The aim of this study is to analyze innovative and effective
strategies that can optimize the provisioning of materials necessary for track machine maintenance. To achieve this goal, a bibliographic research methodology was adopted, focusing on the qualitative analysis of 19 literatures published between 2018 and 2023. The results reveal a convergence among authors on the need to integrate strategic planning, advanced technologies such as artificial intelligence, and efficient inventory management to overcome provisioning challenges. Prescriptive maintenance strategies and the use of advanced diagnostic technologies are highlighted as key elements for more proactive and less reactive maintenance. The final considerations demonstrate that the research problem has been thoroughly explored, with the proposed objectives being achieved. For future research, evaluating the real impact of emerging technologies on the life cycle of railway maintenance is suggested, aiming to provide effective strategies for the continuous optimization of maintenance operations.
O POTENCIAL DIDÁCTICO DO QUIZIZZ NO ENSINO DA GEOGRAFIA: EXPERIÊNCIAS E PERCEPÇÕES DOS PROFESSORES DO HUAMBO, ANGOLARAFIA: EXPERIÊNCIAS E PERCEPÇÕES DOS PROFESSORES DO HUAMBO, ANGOLA
Authors: David António Alcidio Chimbaia , Agostinho Fernando Vianeque
Published: December 2024

Este estudo explorou o potencial didáctico do Quizizz no ensino de Geografia no Liceu Comandante Vilinga, Huambo, Angola, como parte de uma investigação de mestrado iniciada em 2023 no Instituto Superior de Ciências da Educação do Huambo. A problemática que motivou esta investigação relaciona-se com o uso predominante de recursos tradicionais no ensino, enquanto estudantes e professores utilizam tecnologias para outros fins. Este estudo visa aproveitar o potencial do Quizizz para promover formas mais interactivas de ensino-aprendizagem da Geografia. A investigação seguiu uma abordagem mista, e incidiu na revisão bibliográfica, observação e inquéritos a professores. Foram realizadas sessões de capacitação para a exploração do potencial do Quizizz, com posterior recolha das percepções dos professores. Os dados foram analisados usando SPSS e análise qualitativa. Os resultados indicam que as práticas docentes eram maioritariamente tradicionais, não respondendo às exigências dos novos desafios do sistema de Educação e Ensino angolano e do contexto global cada vez mais moderno e globalizado. Como parte da metodologia proposta para o uso de recursos tecnológicos nas aulas de Geografia da 11.ª Classe, os professores foram capacitados em outubro de 2024 para o uso do Quizizz. O estudo destaca a necessidade da formação contínua dos professores em ferramentas tecnológicas, bem como o apetrechamento tecnológico das escolas para um ensino sustentado em metodologias activas e com recurso a tecnologias mais interactivas.
Perspectivas actuales sobre el Síndrome de Apnea Obstructiva Del Sueño Revisión sistemática
Authors: Ramos Zaga Fernando
Published: December 2024

El Síndrome de apnea obstructiva del sueño (SAOS) plantea graves riesgos para la salud, motivo por el cual su detección precoz es crucial para un tratamiento eficaz. Objetivo: Este trabajo pretende analizar el potencial de la inteligencia artificial (IA) en la detección del SAOS, utilizando específicamente los datos de polisomnografía. Método: Para tal fin, se llevó a cabo una revisión bibliográfica mediante una búsqueda exhaustiva de la literatura científica relacionada con el SAOS y su diagnóstico. Resultados: De acuerdo a los estudios analizados, los modelos de IA predicen con precisión el riesgo de SAOS. Los métodos de aprendizaje automático resultan prometedores en la revisión de sonidos de ronquidos e imágenes faciales para el diagnóstico del SAOS. Conclusión: La tecnología basada en IA mejora el proceso de detección del SAOS mediante métodos no invasivos y eficientes. La incorporación de la IA a múltiples enfoques diagnósticos proporciona una estrategia integral para el diagnóstico precoz del SAOS. Sin embargo, aún es necesaria una mayor validación en diversas poblaciones.
Síndrome perdedor de sal cerebral y/o renal: a propósito de un caso
Authors: Pozo Almanza Yasmani , Mérida Nina Mabel. C. , Lopez Ovando Nicol
Published: December 2024

El síndrome perdedor de sal cerebral y/o renal, es una causa infrecuente de hiponatremia hiposmolar, causada por la liberación de péptidos natriuréticos, después de una lesión cerebral, lo que resulta en la incapacidad de retener el sodio a nivel renal, debido a defectos en el túbulo contorneado proximal, pero con respuesta favorable al tratamiento con solución salina 0.9% o al 3% y esteroide. Se reporta caso de un escolar con diagnóstico de traumatismo craneoencefálico severo, hematoma epidural que presento durante su evolución un Síndrome Perdedor de sal Cerebral y/o renal. Su evolución fue adecuada por la respuesta favorable a terapia de cloruro de sodio
Empowering Presentations: Streamlining Content Generation through
Authors: Singh Abhimanyu , Sree R Usha
Published: December 2024

Creating research paper presentation slides is often a labor-intensive process that tools like Open Office and Microsoft PowerPoint Office do not adequately streamline, as they offer templates but lack content selection capabilities. Academic presentations are meant to succinctly showcase research findings, using visuals to engage the audience and emphasize key points. To address this, we propose an automated system that generates presentation slides directly from PDF research papers, significantly reducing the time, effort, and cost involved. This system leverages the Bidirectional Encoder Representations from Transformers (BERT) model, developed by Google, To encapsulate the content of research papers. By using Python’s unpdfer tool, the system extracts text from PDFs, and then employs BERT to evaluate the significance of sentences and produce concise summaries.
Intelligent Fingerprint Recognition System Using Machine Learning
Authors: Adil T Mohammad , K Dr. Chitra
Published: December 2024

Secure authentication relies heavily on fingerprint recognition systems; however, conventional techniques are hindered by differences in image quality and possible security breaches. This study suggests a novel method for improving fingerprint recognition accuracy and robustness that makes use of machine learning techniques. By utilizing convolutional neural networks' (CNNs') capacity to deduce intricate patterns and representations from fingerprint photos, we investigate the use of CNNs for feature extraction and matching. Comparing our experimental results against conventional approaches, we find considerable improvements in accuracy and false acceptance rates on benchmark datasets. By advancing biometric authentication technologies, this research helps to improve security and dependability for a range of applications in law enforcement, access control, and personal identification.
StockSight: Insightful Predictions for Strategic Investments
Authors: K Aishwarya , K Dr. Chitra
Published: December 2024

Analysts have been examining different strategies to viably anticipate stock advertise costs. Valuable expectation frameworks give dealers with way better experiences into future patterns, profiting speculators by analyzing future showcase conditions. This project's primary objective is to realize superior exactness in forecasts compared to past models utilizing distinctive machine learning calculations. In this work, we employ three machine learning algorithms: Random Forest, LSTM, and Decision Tree Regressor. We also use four evaluation metrics: R Squared Error, MAE, MSE, and RMSE, to predict the stock prices of JPX Tokyo Stock Exchange and ITC Limited, and to compare their accuracy. The JPX Tokyo Stock Exchange and ITC Limited stock price data were downloaded from the Kaggle website. The dataset attributes include Date, Open, High, Low, Close, Adj Close, and Volume. The full source code of the project was written in Python. It is hypothesized that the LSTM model provides more accurate predictions than the Random Forest and Decision Tree Regressor for Tokyo stock data, while Random Forest offers more accurate predictions than LSTM and Decision Tree Regressor for ITC Limited stock data.
Blockchain Based Voting System
Authors: Gurumurthy M  , Dr. Chitra K
Published: December 2024

The thought of a voting framework built on Block-Chain Based innovation is a ground- breaking way to progress the security, straightforwardness, and judgment of race procedures. Conventional voting methods are frequently beset by problems including inefficiency, fraud, and tampering. With its immutable and decentralized ledger, blockchain technology presents a viable answer to these problems. Blockchain technology has almost infinite applications. Blockchain is a dispersed ledger technology that makes digital asset peer-to-peer decentralized network transactions easier. A block consists of every transaction that has occurred. Notable characteristics of blockchain incorporate unchanging nature, decentralization, security, straightforwardness, and namelessness. The architecture, operation, and possible influence on contemporary electoral systems are all covered in this research, which investigates the creation and application of a blockchain-based voting system. Through the utilization of blockchain's inherent benefits, this system seeks to offer an electoral platform that is more dependable and credible
Brain Tumor Detection
Authors: Harshitha V  , Usha Sree R
Published: December 2024

Finishing tall precision and faithful quality in brain tumor area is imperative for compelling assurance and treatment. This explore paper presents an facilitates approach that combines K-means clustering, Significant Convolutional Neural Frameworks (DCNN), and Reinforce Vector Machines (SVM) to move forward the disclosure and classification of brain tumors from MRI pictures. At to begin with, MRI looks are pre-processed to progress separate and decrease clamor, ensuring perfect picture quality. K-means clustering is at that point associated to parcel the MRI pictures, recognizing potential tumor districts based on pixel raised and other highlights. Taking after division, a DCNN extricates point by point highlights from the portioned pictures. Instep of the ordinary softmax layer, an SVM classifier is utilized for its predominant classification capabilities. This hybrid DCNN-SVM appear is arranged and surveyed on a comprehensive dataset, outlining higher precision and reasonability in classifying tumors into diverse categories compared to customary CNN models. The comes around appear that this arranges approach can through and through make strides early assurance and treatment orchestrating for brain tumor patients, giving a overwhelming course of action for utilize in clinical settings.
Handwritten Digit Recognition Using Logistic Regression
Authors: Keerthana G  , Usha Sree R
Published: December 2024

With applications in optical character recognition (OCR), digitizing historical documents, and automating data entry procedures, handwritten digit recognition is crucial to pattern recognition and machine learning. This work develops a handwritten digit recognition system using logistic regression. The main objective is to use the MNIST dataset to develop a precise and effective model for classifying handwritten numbers from 0 to 9. Data collection, preprocessing, model installation, training, assessment, and analysis are all included in the methodology. Normalizing pixel values and flattening 2D picture matrices into 1D vectors are steps in the preprocessing process. Using gradient descent optimization, the logistic regression model set up for multi- class classification minimizes the cost function. A testing set will be used to assess performance, and metrics including F1 score, recall, accuracy, and precision will be used. A very precise logistic regression model for handwritten digit identification is the anticipated result. The model's advantages and disadvantages will be emphasized through thorough analysis and visualization, which will include learning weights, biases, and incorrectly categorized images. This work offers useful solutions for automation, postal services, and digital archiving, furthering the field of pattern recognition and highlighting the significance of logistic regression in machine learning.
Vitality Hub
Authors: Mahesh G. M  , Usha Sree R
Published: December 2024

Vitality Hub explores the development of a comprehensive fitness web application designed to enhance user engagement and support health management. Leveraging insights from recent studies and technological advancements, this paper presents a framework for integrating various fitness and health monitoring features within a single platform. The application incorporates functionalities for personalized fitness plans, progress tracking, and community interaction, aiming to improve overall user motivation and health outcomes. By analyzing existing literature and incorporating advanced web technologies, this research provides a detailed approach to developing an effective and user-friendly fitness application, addressing current challenges and proposing innovative solutions.
Guardian of Cybersecurity: Unveiling the Tactics in Phishing Website Detection
Authors: Padmini Y  , Usha Sree R
Published: December 2024

Phishing attacks, a prevalent and significant form of cybercrime, involve attackers masquerading as reputable entities to deceive individuals into revealing sensitive details such as usernames, passwords, and credit card information. Deceptive websites are commonly used in these attacks, appearing legitimate and underscoring the need for individuals and organizations to heighten their awareness and implement stronger and more advanced detection techniques. By luring sensitive information through deceptive websites, phishing attacks represent a serious cybersecurity threat. In this research, the effectiveness of machine learning algorithms, specifically the Gradient Boosting Classifier, in identifying phishing websites to enhance accuracy and response time is being assessed
Procurement Management System
Authors: Vishal Anand N  , Dr. Chitra K
Published: December 2024

Inventory management system which is helpful for the business operators, where shopkeeper keep the records of purchase and sales. Mismanaged inventory means disappointed customers ,too much cash tied up in slower sale and warehouses .This inventory is eliminate paper work, human faults , manual delay and speed up process .This inventory management system will have the ability to track sales and available inventory, tells a shopkeeper when it’s time to reorder and how much to purchase. Inventory management system is windows application developed for windows operating systems which focused in the area of inventory control and generate .The software is made up of two parts: The frontend is developed using Microsoft Visual basic 2010 and the Backend from SQL server Database 2008
Credit Card Fraud Detection Using Machine Learning
Authors: Lohith E  , Mrs. Priyanka Mohan
Published: December 2024

The financial industry is very concerned about credit card theft because it can result in large losses. The Random Forest technique, which is renowned for its accuracy and capacity to handle unbalanced datasets, is used in this project to create a strong fraud detection system. Based on several characteristics, the model that was trained on a labeled dataset of credit card transactions can differentiate between authentic and fraudulent activity. Using Flask, HTML, CSS, and JavaScript for a responsive front end and Python and JavaScript for a reliable back end, the system is integrated into a full-stack web application. For safe data storage, MySQL is used. The web tool uses sophisticated data visualization to provide insights while enabling real-time transaction monitoring, fraud warnings, and historical data analysis
Formulation and Evaluation of Polyherbal Hair Mask
Authors: Jaiswar Esha  , Supekar Nikita  , Sarode Sairaj  , Kadam Mitali  , Patil Tanvi  , Chate Shraddha
Published: December 2024

Polyherbalism is a key traditional therapeutic herbal strategy that involves combining several medicinal herbs to increase therapeutic effectiveness. A Hair mask is applied to hair and scalp to nourish, moisturize and protect the hair. Herbal hair cosmetics are made with herbs that have antibacterial, anti-inflammatory and antioxidant properties. The purpose of using hair mask is to remove dirt and dandruff, strengthen and darken the hair colour. Using the natural Ingredients from the plant source will treat Hair problems without damaging hairs and with no adverse effects. To prepare this Herbal hair mask , various plant based ingredients are chosen. The formulation process focused on optimizing the combination of these ingredients to create a highly effective hair mask. The formulation of this Hair mask was done at Laboratory scale and it’s evaluated for it’s number of parameters for the safety and efficacy
Şâfiî Mezhebinde Tedâhül
Authors: Aslan Bedri
Published: December 2024

Fakihler karşılaştıkları yeni meseleleri nasların ışığında ve temel ilkelere dayanmak suretiyle içtihatla çözmeye çalışmışlar, bu esnada şer’î meselelere kavramsal bir çerçeve çizmek için fıkhî terimler ve kavramları belirlemişlerdir. İşte bunlardan biri de “tedâhül” kavramıdır. “Hükmü gerektiren her bir sebebe ayrı bir hüküm verilir” kuralından istisna edilerek müteaddit sebebe tek bir hüküm bağlamak anlamında kullanılan tedâhül, fıkhî hükümlerin uygulamasında kolaylık sağlamaktadır. Tespit ettiğimiz kadarıyla Türkiye’de konuyla ilgili Şâfiî mezhebinde herhangi bir çalışma bulunmamaktadır. Hanefi mezhebinde ise bu konu müstakil olarak “Hanefî Fıkhında Tedâhül İlkesinin Kapsamına Dair Bir İnceleme” adlı bir makale dışında herhangi bir çalışma bulunmamaktadır. Mükelleflerin sıkça rastlayabileceği bu tür hükümlerin bilinmesi önem arz etmektedir. Zira herkesin sıkça karşılaştığı tedâhül ile ilgili birçok fıkhî mesele bulunmaktadır. Şafiî mezhebinde tedâhül ile ilgili hükümler fıkıh kitaplarında bir başlık altında değil, kitapların bütününde dağınık halde yer almaktadır. Bu nedenle tedâhül ile ilgili hükümlerin bir arada ele alınıp değerlendirilmesi ihtiyacı ortaya çıkmıştır. Çalışmada Şâfiî mezhebiyle ilgili fıkıh eserleri taranmış, tedâhül konusu ile ilgili mezhebin temel görüşü ve konuyla ilgili ihtilaflı görüşler ele alınmıştır. Yine Şâfiî mezhebine göre tedâhül konusu genel olarak ele alınmış ve örneklerle açıklanmıştır. Buna binaen ilk önce tedâhülün mahiyeti, kapsamı, meşruiyeti, şekilleri ve kısımları ele alınmıştır. Akabinde kabul eden ve etmeyenlerle ilişkin örnekler verilerek açıklanmaya çalışılmıştır. Klasik fıkıh eserleri araştırıldığında tedâhül ile ilgili mevcut olan tanımların birbirlerinden farklı olduğu görülür. Zira tedâhülün alanı çok geniş olduğu için her fakihin, ilgilendiği alanın zaviyesinden bakarak tanımını geliştirdiği anlaşılır. Bununla birlikte birçok fakihin İslam hukukunun temel ilkelerinden olan kolaylık ilkesini dikkate alarak tedâhül hükmünü ele aldıklarıyla ilgili bulgular elde edilmiştir. Şâfiî mezhebine göre tedâhül hem sebeplerde hem de müsebbeplerde (hükümler) meydana gelebilir. Fer’î örnekler incelendiğinde ibadet, aile hukuku ve ceza/ukûbat konularında tedâhülün mevcut olduğunu görülmektedir. Çalışma neticesinde tedâhül, her konu ve meselede değil, bazı şartlarla meydana gelebileceği sonucuna varılmıştır.
Medicinal Plants in Disease Prevention and an Integrating Traditional Wisdom with Scientific Advances
Authors:   Department of Botany, Vishwa Bharati Womens College, Rainawari,Srinagar 190018, Jammu and Kashmir India, Akhter Hanifa
Published: December 2024

Medicinal plants have played a critical role in disease prevention for centuries, offering natural remedies derived from plant-based compounds that contribute to immune system modulation, inflammation reduction, and overall health maintenance. With the advent of modern scientific techniques, there is now an increasing effort to validate and expand upon traditional uses of medicinal plants. This review explores the integration of ancient wisdom with contemporary scientific advancements to assess the role of medicinal plants in disease prevention. It highlights key examples, such as Curcumin from turmeric, Echinacea, and Ginkgo biloba, which have been studied for their ability to prevent cancer, improve cognitive health, and strengthen the immune system. The review also examines the challenges in standardizing plant-based products, ensuring quality, and overcoming safety concerns associated with plant-drug interactions. By combining traditional knowledge with modern pharmacological research, medicinal plants hold promising potential in the development of alternative preventive healthcare solutions.
POLÍTICA DE INCLUSÃO CONTEXTO HISTÓRICO
Authors: CORREIA SANTOS DILENE
Published: December 2024

O presente trabalho tem como objetivo investigar sobre práticas pedagógicas de inclusão dentro do âmbito escolar, para aprimorar o conhecimento na área, bem como sua importância para a sociedade, levando em consideração o marco legal para implantação das políticas de inclusão e contexto histórico no Brasil. O objetivo geral é problematizar acerca das políticas de inclusão no Brasil. A metodologia utilizada para esse artigo é de cunho qualitativa, com levantamento bibliográfico e coleta de dados a partir de questionário. Pretende-se aqui entender como se deu a efetivação das leis de inclusão, levando em consideração as leis e os documentos oficiais tais como: a Constituição Federal, a Lei de Diretrizes e Bases da Educação Nacional, o Estatuto da Criança e do Adolescente, Mistério da Educação e Cultura (MEC), a Declaração de Salamanca e outros; nesse sentido traçou-se a questão problema para percorrer. Quais as nuances que fizeram parte da implantação da Política de Inclusão e como ocorre sua implementação nas instituições escolares? Para tanto, contou-se com a contribuição teórica de: KASSAR & REBELO (2011), Fonseca (2002), Mantoan (2006), MENDES (2006), FONTES (2003).
Pengaruh Model Pembelajaran Realistic Mathematic Education (RME) terhadap Kemampuan Berpikir Kritis dan Self-Efficacy Siswa
Authors: Gulo Devi Ratna Sari , Mendrofa Netti Kariani , Zega Yulisman , Lase Sadiana
Published: December 2024

Studi awal menunjukkan bahwa: (1) model pembelajaran didalam kelas kurang bervariasi,  (2) kurangnya kemampuan berpikir Kritis siswa dan (3) Kurangnya keyakinan diri siswa dalam menyelesaikan soal matematika. Oleh karena itu penelitian ini bertujuan (1) mengetahui pengaruh model pembelajaran Realistic Mathematic Education terhadap kemampuan berpikir kritis dan (2) mengetahui pengaruh model pembelajaran Realistic Mathematic Education terhadap self-efficacy siswa. Kami menggunakan pendekatan kuantitatif menggunakan metode eksperimen semu dengan desain Nonequivalent Control Group Design. Penelitian ini melibatkan siswa kelas VIII UPTD SMP Negeri 1 Mandrehe dengan mengambil dua sampel penelitian terdiri dari dua kelas yaitu VIII-C sebagai kelas eksperimen dan VIII-D sebagai kelas kontrol. Data dikumpulkan dengan menggunakan instrumen tes dan angket. Analisis data dilakukan dengan cara menghitung nilai akhir siswa, menghitung rata-rata nilai, dan  menghitung simpangan baku. Setelah data dianalisis, untuk hasil tes dilakukan uji normalitas (Uji Liliefors),  uji homogenitas (Uji Fisher) dan pengujian hipotesis yang digunakan adalah uji t. Sedangkan untuk hasil angket, pengujian hipotesis menggunakan uji Z dua sampel. Hasil penelitian yang diperoleh bahwa (1) Ada pengaruh model pembelajaran Realistic Mathematic Education terhadap kemampuan berpikir kritis, (2) Ada pengaruh model pembelajaran Realistic Mathematic Education terhadap self-efficacy siswa. Model pembelajaran Realistik Mathematic Education dapat diimplikasikan bagi guru matematika untuk melaksanakan proses pembelajaran, sehingga siswa dapat lebih aktif dan mampu memahami materi dengan tepat serta menerapkannya dalam kehidupan sehari-hari dan dapat meningkatkan kemampuan berpikir kritis dan self-efficacy siswa menjadi lebih baik
Mental Stress for Creating Healthy Environment for Housewives in Maharagama MOH’s
Authors: Wasantha U. G. A.
Published: December 2024

This study aims to assess the mental stress experienced by housewives in the Maharagama Medical Officer of Health’s (MOH) division while striving to establish a healthy living environment. Housewives play a pivotal role in maintaining the well-being of their families and homes, which often results in considerable stress. Were, the unhealthy in physiological, in the fat possibility of stress levels from hormones due to diseases. To address this issue, we conducted a comprehensive assessment within the Maharagama MOH’s division, which is an urban and suburban area in Sri Lanka.

This research employed a mixed-methods approach, combining quantitative surveys and qualitative interviews to gather data. A sample of housewives was surveyed to understand the factors contributing to mental stress. Key variables included the management of household chores, childcare, economic pressures, and social support. Additionally, in-depth interviews were conducted to explore the nuances of their experiences, coping mechanisms, and suggestions for improving their mental well-being.

Preliminary findings indicate that housewives in the Maharagama MOH’s division face significant mental stress in their daily lives. Key stressors include a heavy burden of domestic responsibilities, financial concerns, and social isolation. While some housewives display effective coping strategies, such as seeking support from family and friends, many expressed the need for more comprehensive support systems, including mental health services and community initiatives.

In conclusion, the mental well-being of housewives in the Maharagama MOH’s division is a pressing concern. Understanding the sources of stress and identifying coping strategies are crucial steps in improving their quality of life. This study’s results will contribute to the development of tailored interventions and support programs to alleviate mental stress among housewives, ultimately fostering a healthier living environment for them and their families. Within these frameworks, this research aimed to examine housewives’ psychological distress and anxiety by focusing on three contributory factors namely housewife burnout, perceived stress, and loneliness. Further research and collaborative efforts with local authorities and healthcare providers are essential to address this issue effectively.
An Analysis of Students’ Speaking Self-Efficacy in Collaborative Learning
Authors: Gustina Ika , Atmowardoyo Haryanto , Korompot Chairil Anwar
Published: December 2024

This research aims to find out the student’s speaking self-efficacy in collaborative learning. This research is qualitative research with a case study type, data collection using observation and interview. This research used the case study method. The participants of this research are students of MA Yapit Taretta. This research was conducted students at MA Yapit Taretta. The results showed: 1) Self-efficacy affects how people set goals, cope with challenges, and persist in the face of obstacles. 2) Collaborative learning environments offer a conducive setting for learners to enhance their speaking skills through repeated practice and constructive feedback, ultimately fostering greater confidence and proficiency. The statement underscores the psychological and educational benefits of collaborative learning environments in enhancing student confidence and reducing anxiety. 3) The effectiveness of collaborative learning activities in improving student confidence in speaking.
Optimizing a Sustainable Power System with Green Hydrogen Energy Storage for Telecommunication Station Loads
Authors: Zegueur Ahlem , Sebbagh Toufik , Metatela Abderrezak
Published: December 2024

Telecommunication stations situated in rural areas often rely on diesel generators as their primary energy source to meet electricity demand, given the absence of a power grid. However, this heavy dependence on diesel generators leads to escalated operational and maintenance expenses, while exacerbating global warming through greenhouse gas emissions. This paper proposes a shift towards a 100% hybrid renewable energy system integrated with hydrogen energy storage as a sustainable alternative. The proposed system incorporates photovoltaic (PV) panels, wind turbines, an electrolyzer, a fuel cell, a hydrogen tank, and a converter. Using HOMER Pro software, the optimal sizing of the system was determined, resulting in a configuration with 12.3 kW PV capacity, two 10 kW wind turbines, a 10kW fuel cell, a 20 kW electrolyzer, a 5 kg hydrogen tank, and a 17.3 kW converter. This configuration achieved a net present cost (NPC) of $155,705 and a cost of energy (COE) of $0.388/kWh, offering substantial cost-effectiveness. Compared to the base case relying solely on diesel generators, the system could avoid approximately 31,081 kg of CO₂ emissions annually. Finally, a sensitivity analysis was conducted to assess the impact of meteorological variations on the system’s economic outputs. The findings of this comprehensive study demonstrate the proposed hybrid system's feasibility in terms of both environmental sustainability and economic viability, presenting a sustainable alternative for off-grid telecommunication stations.
Hubungan Kesadaran Metakognitif Terhadap Kemampuan Kognitif Menggunakan Model Discovery Learning Berbantuan Video Pembelajaran Interaktif
Authors: Gustina Gustina , Hamsyah Eka Fitriana
Published: December 2024

Tujuan penelitian adalah untuk melihat apakah ada hubungan kesadaran metakognitif terhadap kemampuan kognitif peserta didik dengan menerapkan model discovery learning berbantuan video pembelajaran interaktif. Seluruh peserta didik kelas XI MA Ummul Mukminin Makassar merupakan populasi penelitian. Sampel dipilih secara random. Kesadaran metakognitif di ukur menggunakan instrument metacognitive awareness inventory (MAI) dengan 52 item pernyataan positif dan negatif dengan tiga dimensi pernyataannya. Dimensi pernyataannya meliputi pengetahuan kognitif, pengetahuan strategi, serta pengetahuan terhadap diri sendiri. Kemampuan kognitif diukur dengan menggunakan menggunakan 20 nomor item soal pilihan ganda. Item soalnya terdiri dari C1 hingga C4. Soal nya terdiri dari kemampuan mengingat, memahami menerapkan, dan menganalisis. Analisis statistic deskriptif dan statistic inferensial merupakan teknik analisis data yang digunakan dalam penelitian ini. Data penelitian di uji dengan SPPS 17 melalui pengujian regresi linear satu variable independent.  Nilai R yang di peroleh berdasarkan uji regresi linear adalah 0,120 sedangkan R squere = 0,014. Kesimpulan penelitian didapatkan adanya hubungan kesadaran metakognitif dan kemampuan kognitif dengan kategori sangat rendah. Persentase sumbangan kesadaran metakognitifnya adalah 0,14%.
Perspektif Islam Terhadap Pendidikan Multikultural Melalui Implementasi E-Learning dan Bot Telegram
Authors: Qodriyah Khodijatul , Yaqin Moh. Ainol , Nafiah Ainun , Rahma Kirana Yulia
Published: December 2024

Penelitian ini mengeksplorasi integrasi E-learning dan Telegram Bot untuk meningkatkan pendidikan multikultural dalam perspektif Islam, khususnya bertujuan untuk menumbuhkan toleransi dan inklusivitas dalam pemahaman dan sikap siswa terhadap keragaman budaya. Tantangan utamanya terletak pada menjembatani perbedaan budaya melalui pendidikan inklusif yang dapat diakses dan memperkuat multikulturalisme dalam kehidupan sehari-hari. E-learning menyediakan lingkungan belajar yang fleksibel yang memungkinkan siswa mengakses materi kapan saja dan di mana saja, menawarkan penyampaian konten terstruktur dengan multimedia interaktif. Bot Telegram melengkapi hal ini dengan memfasilitasi komunikasi real-time, notifikasi, dan diskusi interaktif, memungkinkan interaksi langsung antara instruktur dan siswa. Dengan menggunakan pendekatan deskriptif kualitatif, data dikumpulkan melalui tinjauan pustaka, observasi partisipatif, dan wawancara mendalam. Analisis tematik terhadap data dilakukan untuk mengidentifikasi pola keterlibatan dan respons siswa, menilai efektivitas E-learning untuk penyampaian konten dan Bot Telegram untuk mendukung komunikasi real-time. Temuan mengungkapkan bahwa E-learning meningkatkan aksesibilitas dan pemahaman materi, sementara Bot Telegram meningkatkan keterlibatan dan partisipasi melalui notifikasi dan fitur diskusi yang tepat waktu. Penelitian ini menyimpulkan bahwa integrasi E-learning dan Telegram Bot efektif mendorong pemahaman multikultural dalam konteks Islam, menumbuhkan toleransi, inklusivitas, dan penerapan nilai-nilai Islam di dunia nyata dalam masyarakat multikultural
A widely used Generative-AI detector yields zero false positives
Authors: Gosling Samuel David , Ybarra Kate , Angulo Sara K.
Published: December 2024

The widespread availability of generative-AI using Large Language Models (LLMs) has provided the means for students and others to easily cheat on written assignments – that is, students can use AI to generate text and then submit that work as their own. A variety of technical solutions have been developed to detect such cheating. However, concerns have been raised about the dangers of falsely identifying real students’ responses as having been generated by AI. Here we evaluate a Generative AI detector that comes as an option with Turnitin, a widely used plagiarism-detection platform already in use at many universities. We compare 160 responses written by students in a class assignment with 160 responses generated by ChatGPT instructed to complete the same assignment. The ChatGPT responses were generated by 16 different prompts crafted to mimic those that plausibly might be given by individuals seeking to cheat on an assignment. The AI scores for the AI generated responses were significantly higher than the AI scores for the human-generated responses, which were all zero. Clearly, an arms race is set to develop between technology that facilitates cheating and technology that detects it. However, the present findings demonstrate that it is at least possible to deploy technical solutions in this context. Looking ahead, as various AI-methods become legitimate tools and are more seamlessly integrated into almost every aspect of daily life, it is unlikely that purely technical solutions will suffice. Instead, guidelines surrounding academic integrity will have to adapt to new conceptualizations of academic mastery and creative output.
Brecha digital en la educación secundaria: perfiles del alumnado desde una perspectiva de género en disciplinas STEM
Authors: Niño-Cortés Luz Mayra , Grimalt-Álvaro Carme , Serrano Vanessa , Sanabria Irma Zoraida
Published: December 2024

En la sociedad actual, la competencia digital (CD) se ha vuelto esencial, trascendiendo las brechas de acceso a la red. En lo académico, esta competencia ha propiciado el estudio de la brecha digital en la educación, sobre la desigualdad de oportunidades en el desarrollo de la CD del alumnado, que se agrava por factores socioeconómicos, y de la brecha digital de género, por las disparidades entre mujeres y hombres en la CD y en las preferencias por las disciplinas STEM. Este estudio pretendió caracterizar los perfiles del alumnado de educación secundaria, triangulando los indicadores sociodemográficos, académicos y tecnológicos, para analizar si estos factores afectan a las aspiraciones académicas y a la inclusión digital del alumnado. Se realizó un análisis por clústeres, utilizando el paquete clúster de R. El perfil de los chicos revela una interrelación entre lo sociodemográfico, lo tecnológico y las aspiraciones académicas, fenómeno que no se evidencia en el perfil de las chicas. Los chicos de nivel socioeconómico alto muestran una percepción alta de su CD, junto con una actitud positiva hacia las tecnologías digitales (TD), y aspiraciones académicas definidas en las disciplinas STEM. Las chicas, indistintamente del nivel socioeconómico, y, a pesar de tener una actitud positiva hacia las tecnologías digitales y una CD media, muestran preferencias académicas distintas a las STEM.
Grupo de WhatsApp en el contexto escolar chileno: caracterización de las interacciones entre padres-madres y apoderados
Authors: Villegas robertson Jose Miguel , Garrido Cabezas Norman , Achivury Millaquén Gina , Muzatto-Negrón Paola
Published: December 2024

A pesar de que distintos investigadores han utilizado la aplicación de WhatsApp (WSP) como objeto de estudio, es escasa la evidencia científica que dé cuenta del uso y la descripción de las interacciones y temáticas que ocurren en el interior de un grupo de WhatsApp de apoderados de colegios particulares subvencionados. Por ello, el objetivo general de este estudio fue caracterizar las interacciones comunicacionales que establecen los apoderados de educación primaria durante un año lectivo escolar, a través de un grupo de WSP, sometiendo el corpus resultante a un análisis cualitativo de contenido. A partir de los resultados, se concluye que las interacciones en el grupo de chat se caracterizan por presentar contenido asociado al intercambio de información, organizar actividades conjuntas y ofrecer felicitaciones, coordinar acciones y tomar decisiones frente al colegio. Esto evidencia un espacio con el potencial de ser un medio para el acompañamiento del proceso de formación escolar de los estudiantes.