bluuebunny/crossref_metadata_2025 huggingface dataset:
Factors affecting highly pathogenic avian influenza vaccination practices at poultry farms in Tra Vinh, Vietnam
Authors: Qui Nguyen , Nguyen Thu , Nguyen Linh
Published: April 2024

Background:
The increased number of cases of highly pathogenic avian influenza (HPAI) as a zoonosis has raised concerns in terms of poultry and human health. Farmers’ preventive practices are an effective way of reducing zoonosis. However, this practice may have been affected by many factors, including production behaviors, awareness, and farmers’ perceptions of farmers toward zoonosis.
Aim:
This study was conducted on 166 poultry farms in Tra Vinh Province with 14,894 poultry heads to determine the socioeconomic profiles and production characteristics of poultry farms and analyze the effect of these factors on HPAI vaccination practices.
Methods:
Respondents were selected from lists provided by government officers. Descriptive statistics were used to describe all variables, and factors affecting HPAI vaccination practices were analyzed using binary regression analysis.
Results:
The results showed that most farmers raised poultry with other livestock using the free-range method, which is a semi-intensive system. The primary objectives of poultry farming are meat sales and augmenting household consumption, with farmers primarily raising chicks produced on their farms. The implementation of the vaccine was less than 50% on the surveyed farms, with a small number of farmers administering an HPAI booster dose. However, only 6% of the farmers confirmed that their livestock had been exposed to HPAI. In addition, HPAI vaccination and booster dose practices significantly increased when farmers had 4–6 family members and received HPAI prevention training. Moreover, increased poultry numbers have led to increased vaccination rates and the implementation of booster doses for poultry. The study also reported that the vaccination rate decreased when poultry was used for household consumption.
Conclusion:
Sociodemographic characteristics and production behaviors can affect the implementation of HPAI vaccination on small poultry farms.
Impact of attitude variables, Tax rate and perceptions of government fairness on Tax Compliance
Authors: Dhakal Bhojraj
Published: April 2024

This study aims to scrutinize the interconnection between attitude variables and tax compliance behavior of the taxpayers. The survey research study regarding the people’s attitude towards taxation is carried out in Hetauda Sub–Metropolitan City of Makawanpur district in June 2020. The sample size of this study encompassed 300 taxpayers selected randomly from entire population. The questionnaire involved twenty-seven five-point Likert scale questions, and seventeen categorical type questions were asked to the respondents. The study applied the logistic regression model to measure the effect of attitude on tax compliance behavior. This research study has some policy implications for encouraging the government to improve tax policy of the nation. The fairness of the tax system definitely affected the tax acquiescence behavior. The respondents doubted the fairness of the government concerning taxation based on data. The collective attitude of the taxpayers was highly negative among different taxpayers under the tax rate and government fairness. The results of the study revealed that taxation policy design and implementation mattered to taxpayers in Nepal. It further recommends the tax administration to reduce tax rates and adopt fair tax strategies for the welfare and justice of the various tax payers. A low tax compliance problem is related to low tax revenue of a particular country. The beauty of this study is to bridge the knowledge gap of emerging issue of the tax compliance behavior in several ways.
Profitability differentials between broadcasting and transplanting system of rice production in Southeast, Nigeria
Authors: Chikezie Anyikwa Friday , Chinwe Isibor Annunciata , Ejike Umebali Emmanuel
Published: April 2024

The study examined the profitability differentials between the broadcasting and transplanting systems of rice production in the Southeast, A multi-stage sampling method was used to randomly select 384 (192 broadcasters and 192 transplanters). Data collected were analyzed using descriptive statistics, budgetary method, and inferential statistics of paired t-tests. The study found that the mean age of farmers under the broadcasting system and transplanting system were 50yrs and 43yrs respectively. Result on profitability level showed that the Net Returns were ₦1,569,053.11 and ₦5,628,752.33 for farmers under broadcasting and those under transplanting system, the return on investment (ROI) was 0.72 or 72.0% and 1.92 respectively, with a profitability index of 45.5% for broadcasting system and 68.9% for transplanting system respectively. The null hypothesis was rejected because there was a (6.59)*** substantial difference in the profit margin of the production systems. The study identified the following constraints; high cost of labour, poor quality seedlings, climatic changes, inadequate storage facilities and high cost of equipment among others. Policymakers are recommended to proactively address these challenges to enhance the effectiveness and efficiency of these farmers.
ENCEFALOPATIA TRAUMÁTICA CRÔNICA: DOENÇA QUE AFETA OS JOGADORES DE FUTEBOL AMERICANO
Authors: Gomes Sávio Brenner Oliveira , Rodes Izabella Lima Caldeira , Polakiewicz Rafael Rodrigues
Published: April 2024

O futebol americano, esporte de alto rendimento nos Estados Unidos desde os anos 90, revela o surgimento de problemas consequentes da violência nesse meio esportivo. A presença de choques mecânicos no crânio pode resultar em Encefalopatia Traumática Crônica (ETC), considerada uma síndrome neurodegenerativa. A prevalência e a incidência da doença são maiores nos cérebros de atletas da National Football League (NFL), assim como aos amadores e comparando com os não praticantes que tem baixos índices. Este artigo é uma revisão integrativa sistemática da literatura e utilizou a Biblioteca Virtual em Saúde (BVS) e Pubmed para acessar informações científicas sobre as seguintes palavras-chaves: Encefalopatia Traumática Crônica; Futebol Americano; Concussão Encefálica. Na análise consta artigos (últimos 5 anos) em inglês e somente um em português, incluindo fatores de risco, estudos observacionais, diagnósticos, prevalência e incidência da ETC. Além disso, foram seguidos os critérios de identificação, seleção, elegibilidade, inclusão e exclusão. Os estudos apontam para a relação entre a exposição de impactos mecânicos no esporte e a manifestação da encefalopatia, visto que a alta incidência de ETC está em jogadores da NFL, principalmente, na posição de “running back”. Dessa forma, os times adotam a estratégia de trocar as posições dos esportistas, como meio de reduzir o desgaste físico. Além disso, foi constatado o baixo fluxo sanguíneo no cérebro de atletas, tal como a redução da expectativa de vida deste público portador da síndrome, sendo que o reconhecimento da doença pode ocorrer por meio da utilização de interleucina-6 (biomarcador sensível). A existência da proteína denominada de tau hiperfosforilada perivascular em neurônios, no córtex do encéfalo também é um fator para o diagnóstico de ETC. A Encefalopatia Traumática Crônica no futebol americano mostra uma prevalência constante independente dos meios de atuação na carreira profissional ou amadora, decorrente da vulnerabilidade aos choques e dos impactos violentos na cabeça.
ESTUDO DE CASO SOBRE BORDERLINE: TERAPIA HOLÍSTICA, PLANTAS MEDICINAIS E ALIMENTAÇÃO VEGETARIANA
Authors: Andreolla Iago Blaine Medeiros , Andreolla Veruschka Rocha Medeiros , Jubini Gilberto Mazoco , Soares Vitor de Souza
Published: April 2024

O objetivo do trabalho foi descrever um relato de caso, sendo utilizado tratamento holístico, plantas medicinais e alimentação vegetariana como forma de prevenção ao suícidio, realizada em um paciente com traços de Transtorno de Personalidade Borderline (TPB). O TPB é caracterizado por um padrão generalizado de instabilidade e hipersensibilidade nos relacionamentos interpessoais, instabilidade na autoimagem, flutuações extremas de humor e impulsividade. O diagnóstico é realizado por critérios clínicos e o tratamento é com psicoterapia e fármacos. A classificação das abordagens são definidas em três grupos distintos: 1º) Terapias com abordagem Cognitivo-Comportamental (TCC); 2º) Terapias com abordagem Psicodinâmica; 3º) Terapias de Apoio Ativo. A intervenção holística foi realizada sob um indivíduo diagnosticado com TPB, ingerindo diariamente fármacos e com doses elevadas durante um período de 7 anos. O indivíduo, mesmo medicado, se mutilava e tentou suicídio por 5 vezes nesse tempo. Durante a pandemia ocorrida pelo Covid19, o paciente ficou em quarentena com supervisão diária. No período foi associando intervenção terapêutica com o uso de plantas medicinais e alimentação vegetariana restrita. No tratamento com plantas medicinais foram utilizados: Erva de São João (Hypericum perforatum), Capim-cidreira (Cymbopogon citratus), Melissa (Melissa officinalis), Cidreira-brasileira (Lippia alba) e Erva doce (Pimpinella anisum). Essas plantas foram escolhidas pelas propriedades terapêuticas sendo recomendadas para relaxar a mente, aliviar o estresse e a ansiedade. Os chás eram ingeridos 8 vezes por dia. Com a terapia e o uso das plantas medicinais, o paciente suspendeu todos os fármacos e apresentou comportamento social “normal”. Considerou-se que o TPB é um diagnóstico polêmico, em razão da dificuldade de tratamento e acompanhamento terapêutico em geral. O relato apresentou um caso de eficácia, porém existem muitas questões que precisam ser estudadas, pensadas e refletidas. Considera-se que para obter respostas mais conclusivas e que possam ser generalizadas torna-se necessário a replicação do método e a continuidade do estudo.
Інтеграція блокчейн-технології в систему обліку та аналізу контрольованих операцій
Authors: Сторожук Т. М. , Моргуненко А. С.
Published: April 2024

В умовах розширення міжнародних зв’язків та збільшення зовнішньоекономічної діяльності транснаціональних компаній зростає актуальність контролю за трансфертним ціноутворенням з метою уникнення виведення прибутків з під оподаткування. У статті досліджено переваги від використання блокчейн технологій, їх значення щодо покращення існуючої системи бухгалтерського обліку та політики трансфертного ціноутворення. Розгляд майбутніх напрямків розвитку новітніх технологій в економічній сфері дав можливість спостерігати формування певних тенденцій в умовах глобалізації економічних процесів. Метою дослідження є удосконалення обліку та аналізу контрольованих операцій на основі впровадження новітніх технологій. Автори використали огляд наукових робіт, систематизацію та аналіз, а також візуалізацію результатів дослідження. Особлива увага авторами, приділена аналізу переваг у процесі обліку та аналізу контрольованих операцій за допомогою блокчейну. Аналіз традиційних компонентів процесу обліку та аналізу контрольованих операцій показав спектр можливостей для вдосконалення, які відкриваються завдяки новітнім технологіям. У висновку було сформовано уявлення про потенційні переваги від удосконалення традиційного процесу збору, узагальнення та аналізу господарських операцій. Авторами в ході дослідження розкрито сильні та слабкі сторони, можливості та загрози від використання блокчейн технології. Як результат дослідження запропоновано оптимізувати процеси, сформувавши єдину децентралізовану обліково-аналітичну систему з використанням блокчейн технологій. Практичне значення дослідження полягає в оптимізації процесів обліку та аналізу операцій з трансфертного ціноутворення в умовах використанням блокчейн технологій. Така система дає можливість детально моніторити процес трансфертного ціноутворення, починаючи зі створення мережі обліково-аналітичних процесів на основі блокчейн, закінчуючи формуванням звітності і в режимі реального часу реагувати на існуючі ризики, приймаючи ефективні рішення. Подальше дослідження може включати пошук додаткових переваг та можливостей використання блокчейн технологій в цілях вдосконалення системи бухгалтерського обліку через створення надійної бази даних, яка забезпечує доступ до інформації внутрішнього аудиту та контролю за трансфертним ціноутворенням з боку податкових органів. Тип статті - теоретична.
Digital Image Forensics Using Deep Learning and Person Identification
Authors:   Professor, Department of Information Technology,  Smt. Kashibai Navale College of Engineering, Pune, India1, S.P. Prof. Shinde
Published: April 2024

In the realm of computer vision and image processing, the task of digital image identification holds significant importance across various domains. This paper presents a comparative study of two distinct methodologies for digital image identification: deep learning and the Haar cascade algorithm. Deep learning, specifically Convolutional Neural Networks (CNNs), has emerged as a powerful tool for automatically learning hierarchical representations from data and has achieved remarkable success in image-related tasks. In contrast, the Haar cascade algorithm, a classic machine learning technique, offers real-time object detection capabilities with its efficient feature-based approach. Through a series of experiments and evaluations on benchmark datasets, we analyze the performance, strengths, and limitations of these methodologies. Factors such as dataset size, computational resources, and application requirements are considered in the comparison. Our findings provide insights into the suitability of deep learning and the Haar cascade algorithm for various image identification tasks, aiding practitioners and researchers in selecting the most appropriate approach based on specific project needs. This research contributes to advancing the field of image processing and computer vision by offering a comprehensive analysis of these two prominent methodologies in digital image identification. Key Words: Deep Learning, Convolutional Neural Network (CNN), Haar cascade algorithm, image, forgery, detection
Factors Influencing Private Equity Investments in Asian Countries
Authors:   MBA Student, Faculty of Management Studies (CMS Business School),  Jain Deemed to be University, Bengaluru., Thanusree, Voota Naga
Published: April 2024

An overview of investment activities of the Asian private equity market is presented in this paper. The study began with a close examination of the movements in the Asian private equity market over the last few years and a comparison of Asian and other developed nations' private equity investing practices. The observation gave rise to a hypothesis that Asian and Western economies may not be directly comparable in terms of their influencing factors. As a result, investigating the variables impacting private equity investments in Asian economies has become the primary research question. The private investment activity of five Asian economies—China, Japan, South Korea, Singapore, and India—between 2010 and 2023 was examined in this study. The total private equity investment value across all five Asian economies' sectors was used to gauge the level of investment activity. The study was based on about three major dimensions: the investment environment, economic conditions and research & development. Eight explanatory variables, including GDP, inflation, interest rates, stock market capitalization, research and development expenditure as a percentage of GDP, and the Intellectual Property Rights Index (IPRI), were included in the dataset. The correlation study between each of the eight variables has been performed before more in-depth analysis. The study was conducted using the regression analysis approach. The analysis identified that IPO, GDP and Research & Development (R&D) have a strong and significant impact on private equity investments, being significant drivers in attracting investments. The inflation has shown least influence on private equity investments. The IPRI index, stock market capitalization and liquidation showed no influence on the private equity investments. Lastly the results are subjected to limited data available about the factors. Keywords: Asian economies, Private equity, Investments
Post Merger Financial Analysis: An AI & ML tool for Banks
Authors:   Lovely Professional University, Punjab, Jain, Hardik
Published: April 2024

This paper models the significance of mergers and acquisitions (M&A) in reviving the growth of obsolete or low performing organizations. In line with adapting to the changing circumstances and limiting exposure to the volatility, higher level of capital backing is necessary which only consolidation can achieve (Mantravadi, 2007). Banks being economic institutions are expected to be more directly involved in inclusive growth by including the whole economy in the growth and development, therefore, to support this belief, merger and acquisition as a strategic tool is studied. M&A is considered as one of the significant tools for organizational restructuring and value addition considering the volatility prevailing in the present business environment. It enables organizations to expand their horizon of operation, mitigating risks, explore new markets and geographical locations by creating synergies thereby increasing profitability gaining through competitive advantage. It includes the study of the factors and series of events that led the Government of India (GOI) to the merger of 10 public sector banks (PSB) into 4 merged entities, adoption of M&A as technique to achieve objectives moreover it studies acquisition of the Allahabad Bank by the Indian Bank to identify and interpret the purpose and potential of consolidation backed by a comparative analysis of pre-acquisition and post-acquisition performance of the above-mentioned banks. Key Words: Mergers and Acquisitions, Public Sector Banking (PSB), Indian Bank, Allahabad Bank, NPA and Synergy.
Health Monitoring System on Patient Through IOT Nibe Sakshi Babasaheb,
Authors:   Pravara Polytechnic Loni, Babasaheb, Nibe Sakshi
Published: April 2024

Advancement in technology makes great efforts in health care system. Smart health monitoring will reduce effort of people by automating the patient monitoring task which improves patient work flow management. This study reviews enhancement in health care system. It focuses on portable, wearable and android technology based health monitoring system. This study reveals different approaches for health monitoring. Keywords—mobile health monitoring, wearable health monitoring, remote health monitoring
Adapting to Tomorrow's Workforce: Navigating the Impacts of Artificial Intelligence on Employment
Authors:   Associate Professor, Trinity Academy of Engineering, Pune, India, Nalwade Pratik Dipak
Published: April 2024

The future of employment will be significantly impacted by artificial intelligence's (AI) inclusion into numerous industries as it continues to progress. This study examines the complex effects of AI on employment and provides guidance to politicians, businesses, and individuals on how to deal with the changing nature of the labour market. In addition to examining the changes in employment responsibilities and skill needs brought about by AI-driven automation, this research also addresses important ethical and policy issues. It does this by drawing on a thorough review of the literature, case studies, and industry trends. Stakeholders may effectively embrace the potential of artificial intelligence (AI) while reducing its negative effects on employment by monitoring these changes and taking proactive measures to adapt. . Key Words - Technological advances, Automation, Artificial intelligence (AI), Machine learning, Robotics, Routine tasks, Repetitive tasks, Organizational processes, Job displacement, ,Skills requirements, Workforce dynamics, Mass unemployment, New job opportunities, Policy responses, Digital age
Enhancing Study Experience using Handwritten Character and Digit Recognition and Text Summarization
Authors:   Department of Computer Engineering PVPIT, Viegas Franklin Robert
Published: April 2024

The integration of Handwritten characters and, Digit Recognition and Deep Learning in education heralds a transformative era in learning methodologies. This abstract delves into the multifaceted benefits derived from the amalgamation of these technologies, redefining the educational landscape. Handwritten characters and Digit Recognition technology facilitates the seamless digitization of handwritten content, transcending the limitations of manual note-taking. Its introduction into educational frameworks enhances accessibility, promotes organization, and augments the searchability of diverse educational materials. Deep Learning, acting in tandem with Handwriting Recognition, amplifies these advantages manifold. Deep learning powered study assistants offer personalized learning experiences tailored to individual needs, adapting to varied learning styles. Additionally, these assistants facilitate collaborative opportunities, providing real time feedback and evaluation tools that revolutionize the learning process. Key Words: Image recognition, CNN, RNN, LSTM, Neural Networks, SVM, Deep Learning, Convolutional layer, PreLU, ReLU, Text Summarization, Extractive text summarization, Tokenization.
IOT BASED VEHICLE THEFT DETECTION AND ENGINE LOOKING SYSTEM
Authors:   Department of Electronics and Telecommunication, Priyadarshini College of Engineering, Nagpur, India, N. S. Dr.  Ambadkar,
Published: April 2024

The advancement of smart home technology has revolutionized traditional security measures, offering more efficient and convenient solutions for safeguarding homes and properties. In this project, we propose a smart door lock system that integrates Passive Infrared (PIR) motion detection, a solenoid-based locking mechanism, and an ESP32 Cam module for intruder capturing and remote monitoring. The core components of the system include a PIR sensor, which detects motion in the vicinity of the door, and a solenoid actuator, which controls the locking and unlocking of the door. The ESP32 Cam module serves as the central processing unit, responsible for coordinating the operation of the components and capturing images or videos of intruders. Upon detecting motion, the PIR sensor triggers the ESP32 Cam module to activate the solenoid, thereby locking the door to prevent unauthorized access. Simultaneously, the ESP32 Cam captures images or videos of the intruder using its built-in camera and stores the evidence locally or transmits it to a designated mobile device. Keywords: Biometric access control, Motion detection, Intruder detection, PIR sensor, ESP32 Cam, Smartphone app control, Solenoid actuator
Equity Analysis on IT Sector Stocks
Authors: Korat Mahek
Published: April 2024

The investment in share market is highly rewarding but highly risky. The concept of analysis comes into picture when decision must be made on choosing a particular company's shares for investment. Analysis includes fundamental analysis. Fundamental analysis is a method of forecasting the future price movements of a financial instrument based on economic, political, environmental, and other relevant factors and statistics that will affect the basic supply and demand. This paper examined fundamental analysis of IT sector of the selected companies from the Information Technology sector, since IT sector is one of the most upcoming sectors in the Indian Market Secondary Data of last 5 year (2019-2023). The sample of the stocks for the purpose of collecting secondary data has been selected based on Random Sampling. For analysis the monthly share prices of the last 5 financial years is collected for ten leading IT companies. for the study through fundamental analysis is carried out by tools like Economic analysis, Industrial analysis and Company Analysis Key ratios include ROA, ROI, ROE, EPS, DPS, dividend payout ratio, dividend yield, and P/E ratio. The stocks are chosen in an unbiased manner and each stock is chosen independent of the other stocks chosen. The major findings are all IT sector companies performing very well and their fundamentals are very strong based on P/E ratio, EPS and Payout ratio. It is recommended to the investor that to invest in IT sector company for long term will be benefited. Key Words: IT Sector, Fundamental Analysis, Investment, Equity, Market [1] Student, B. V. Patel Institute of Management, Uka Tarsadia University [2] Associate Professor, B. V. Patel Institute of Management, Uka Tarsadia University
PROMOTING BRAIN HEALTH THROUGH MACHINE LEARNING TO PREDICT STROKE RISK
Authors:   Department of Computer Science and Engineering, Raghu Engineering College, Vishakapatnam, Kumar N. Uday
Published: April 2024

Stroke is a serious disease that can lead to serious consequences if not diagnosed and treated in time. The project focuses on using machine learning algorithms to analyze different types of data, including medical history, lifestyle and physical characteristics, to create powerful predictive models. Methods include preprocessing and data cleaning, product removal, and options to improve model accuracy. Various machine learning algorithms such as decision trees, support vector machines, and neural networks will be applied and compared to determine which is best for batting prediction [1]. The model will be trained with historical data and its performance will be evaluated with metrics such as demand, specificity and accuracy. The potential impact of this study includes early identification of individuals at high risk of stroke and provision of timely intervention and prevention. The development of effective predictive models can help reduce the burden of stroke-related morbidity and mortality. By combining architectural models with health applications, the program demonstrates the collaboration of today's technology in solving important health problems. Key Words: Brain Strokes, Early Detection, Predictive Model, Machine Learning Techniques, Medical Histories, Lifestyle Factors, Physiological Parameters, Preprocessing, Feature Extraction, Feature Selection, ML Algorithms, Healthcare Applications, Engineering Principles, Interdisciplinary Approach.
A REVIEW PAPER ON MODELLING AND 3D PRINTING OF TRACTOR TYRE
Authors:   Assistant Professor, Dept. Of Mechanical Engineering, Gurunanak Institute Of Technology, Khanapur, India, P . Varalakshmi
Published: April 2024

3D printing could revolutionize tractor tires. It allows for customization, optimized designs, and advanced materials. The paper explores design software, material selection, and new printing techniques like multi-material for improved tires. Challenges include production scale, machinery compatibility, and post-processing optimization. Overall, 3D printing holds promise for better tractor tires and a more sustainable agricultural sector. · Key Words: Revolutionize, Customization, Postprocessing.
The Future of Computing: Microprocessor Advancements in 2024
Authors:   Department of Computer Applications, Chandigarh School of Business, Chandigarh Group of Colleges, Jhanjeri, Mohali, India, Sharma1 Nikhil
Published: April 2024

In 2024, the microprocessor landscape witnessed a revolutionary shift, marked by cutting-edge advancements and transformative trends across various industries. The relentless pursuit of Moore's Law drove innovation, leading to the creation of highly efficient processors through state-of-the-art fabrication technologies. Embracing sub-3nm processes, semiconductor manufacturers enhanced performance metrics while reducing power consumption. The rise of heterogeneous computing architectures and specialized edge processors tailored for decentralized environments further diversified the microprocessor ecosystem, setting the stage for unprecedented levels of performance, efficiency, and adaptability. These developments not only shaped the future of computing but also underscored the pivotal role of microprocessors in driving digital innovation Keywords Artificial Intelligence (AI), Sports Bikes, Ride Quality, User Experience, Safety, Adaptive Cruise Control, Collision Avoidance Systems, Rider Safety, Engine Performance Improvements, Predictive Maintenance Algorithms, Bike Performance, Dependability, AI Driven Design Techniques Keywords: Microprocessor, Fabrication technologies, Sub-3nm processes, Microprocessor ecosystem.
IOT BASED ATTENDANCE SYSTEM USING FINGERPRINT SENSOR
Authors: Dhanshree Biradar
Published: April 2024

To provide reliable, time-saving and automatic class attendance system, the concept of Internet of Things (IoT) based class attendance monitoring system using embedded Linux platform is presented in this project . The study is focused on the design and implementation of fingerprint detection and recognition system using Arduino Uno. The system takes fingerprint of students, and analyzes, detects and recognizes fingerprint using sensor .After collecting processing data, the system generates a final attendance record and uploads it in a cloud server. The cloud server has been implemented using python based web framework. The record can be accessed remotely from a user-friendly, web application using the Internet. Finally, the system is also capable of sending an email notification with the final record to the teachers and students in a specific time. Tests and performance analysis were done to verify the efficiency of this system
ANALYSIS OF FACTORS IN THE INTEREST OF KSPPS BINAMA MEMBERS IN CHOOSING MURABAHAH AGREEMENT FINANCING
Authors: Veda Prasetyo Kiki Andhika , Iswanaji Chaidir , Pramudyastuti Octavia Lhaksmi
Published: April 2024

The aim of this research is to identify the factors that influence members in choosing murabahah financing. This type of research uses qualitative research with a case study approach. Collecting the data produced in this research, the author conducted interviews with members and employees of the financing services office regarding the factors that influence a member to choose financing with a murabahah agreement. Based on the results of research that has been carried out, there are several factors that influence a member to choose murabahah financing, namely the financing factor in accordance with Islamic sharia, the factor that is cheaper than leasing, the trust factor. Based on the financing arrangements conducted for the implementation of the murabahah contract at KSPPS BINAMA Magelang Branch, it can be inferred that the institution plays a multifaceted role as a sharia-based cooperative, distributing financing to communities utilizing murabahah agreements while also serving as a financing provider and member companion. This is evidenced by member testimonials affirming the efficacy of KSPPS BINAMA's lending activities in supporting MSME development and meeting their needs, coupled with the commendable and amicable service provided by the cooperative.
Propiedades psicométricas del cuestionario de funcionalidad familiar FF-SIL en adolescentes
Authors: Cordero Pico Kevin Manuel , Nuñez Nuñez Alexis Mauricio
Published: April 2024

Introducción: La funcionalidad familiar hace referencia a la relación que existen entre cada uno de sus integrantes dentro del núcleo habitual, implica una comunicación adecuada para llevar a cabo los roles familiares que cada uno debe cumplir para el óptimo funcionamiento. EL principal objeto de la investigación fue analizar las propiedades psicométricas de la escala de funcionalidad familiar (FF SIL) en una muestra de 328 adolescentes ecuatorianos.

Objetivo: Determinar las propiedades psicométricas del cuestionario de funcionalidad familiar FF-SIL en adolescentes.

Métodos: El método utilizado fue de tipo cuantitativo instrumental con un diseño no experimental con un corte transversa.

Resultados:Los resultados mostraron que el FF SIL presenta niveles adecuados en cuanto a consistencia interna con un alfa de Cronbach de 0.847 para la escala total y posterior al AFE se identificó la presencia un solo factor de la escala de funcionalidad familiar con valores aceptables KMO de 0.92 y el test de esfericidad de Bartlett (X2) de 1077 con un nivel de significancia de p<0.001. Además, el AFC arrojó índices de ajuste adecuados que confirman la estructura unifactorial (X2= 134, gL= 77 y p<0.001; CFI= 0.944, TLI= 0.934,  SRMR= 0,0415, RMSEA= 0,0473 ).

Conclusiones: Como conclusión tenemos que la escala de funcionalidad familiar FF SIL se muestra útil en adolescentes ecuatorianos con propiedades psicométricas adecuadas reflejado en el alfa de Cronbach de 0.84 para la escala total, confirmando que es una herramienta confiable para la medición de la variable en diferentes contextos y con diferente rango de edad, sin embargo, es importante recalcar que es un modelo unifactorial.
Alteraciones del habla, lenguaje y comunicación en el síndrome de fosa posterior
Authors: Jara Baquerizo Marcela Lisbeth , Aguilera Quinto Segundo David , Quiñonez Villamar Zuleika Kathiuska , Fuentes Fuentes Mónica Regina , Mayorga Arias Karina Asunción , San Martin Zeas María Isabel , Rivera-Carriel Fresia Alexandra
Published: April 2024

Introducción: El síndrome de fosa posterior es una complicación que emerge post-cirugía de tumores cerebrales en dicha región. Se manifiesta con síntomas neurológicos diversos incluyendo mutismo y disartria.

Objetivo: Explorar las alteraciones de habla, lenguaje y comunicación en niños afectados por el síndrome de fosa posterior, y evaluar el rol del fonoaudiólogo en la rehabilitación de estos pacientes.

Métodos: Se empleó la metodología PRISMA para una revisión sistemática de literatura entre 2012 y 2022, seleccionando cinco artículos de un total de 590 inicialmente identificados.

Resultados: Los trastornos más frecuentes incluyen mutismo, alteraciones del lenguaje, disartria, y problemas en el lenguaje expresivo y fluidez. La intervención del fonoaudiólogo en estos casos fue mínimamente discutida en la literatura.

Futuras líneas de investigación: Se sugiere profundizar en las estrategias específicas de rehabilitación fonoaudiológica para abordar eficazmente las secuelas del síndrome de fosa posterior.

Conclusiones: El mutismo es el síntoma más distintivo en estos pacientes. Aunque se reconoce la importancia del fonoaudiólogo, su participación en la rehabilitación no ha sido suficientemente enfatizada en el contexto de los tumores cerebrales de fosa posterior.
Sistem Informasi Pengelolaan Gapoktan Studi Kasus Desa Karanghegar
Authors: Ali Akbar Bagus
Published: April 2024

Gapoktan merupakan aset kelembagaan dari Kementerian Pertanian yang diharapkan dapat dibina dan dikawal secara berkelanjutan oleh seluruh komponen masyarakat pertanian, mulai dari tingkat pusat, provinsi, kabupaten/kota hingga kecamatan, untuk melayani kebutuhan petani di pedesaan. Namun, Desa Karanghegar, yang terletak di Kecamatan Pabuaran, belum memiliki sistem pengelolaan Gapoktan. Akibatnya, petani dan pekebun di desa tersebut mengalami ketidakjelasan terhadap pengelolaan pupuk, karena tidak ada bukti tertulis yang mendukung. Untuk mengatasi masalah ini, pengembangan sebuah sistem web diusulkan agar pengalokasian pupuk bersubsidi dari pemerintah dapat dilakukan secara elektronik. Metode pengembangan yang digunakan adalah metode Rational Unified Process (RUP). Website ini bertujuan untuk memenuhi kebutuhan para petani dan pekebun di Desa Karanghegar dalam mengelola pengadaan dan persediaan pupuk yang dimiliki oleh lembaga Gapoktan. Selain itu, website ini juga diharapkan dapat berperan sebagai sarana informasi untuk data pertanian/perkebunan yang dimiliki oleh Pemerintahan Desa Karanghegar. Hasil penelitian menunjukkan bahwa dengan adanya sistem berbasis web ini, instansi terkait dapat lebih mudah mengelola Gapoktan. Informasi mengenai data pengelolaan, pengadaan, dan persediaan pupuk di Desa Karanghegar menjadi lebih tersedia, dan hal ini menjadi acuan dalam setiap kegiatan pengelolaan Gapoktan. Dengan demikian, hambatan-hambatan seperti pengalokasian pupuk bersubsidi tanpa bukti tertulis dapat teratasi.Simpulan dari penelitian ini adalah implementasi sistem berbasis web untuk pengelolaan Gapoktan di Desa Karanghegar sangat penting dan efektif. Hal ini tidak hanya memudahkan instansi terkait dalam pengelolaan, tetapi juga memberikan manfaat besar bagi petani dan pekebun dengan menyediakan akses yang lebih mudah dan transparan terhadap pengelolaan pupuk dan informasi pertanian/perkebunan.
Analisis Sensitivitas Metode ELECTRE dalam Pengambilan Keputusan Multi-Kriteria
Authors: Suhaylah Suhaylah , Rasyid Munthe Ibnu , Sihombing Volvo
Published: April 2024

Metode ELECTRE (Elimination Et Choice Translating Reality) adalah salah satu pendekatan yang umum digunakan dalam pengambilan keputusan multi-kriteria. Dalam konteks ini, analisis sensitivitas memiliki peran penting dalam mengevaluasi seberapa stabilnya hasil keputusan terhadap variasi parameter dan preferensi yang diberikan. Artikel ini mengusulkan sebuah kerangka kerja untuk melakukan analisis sensitivitas terhadap metode ELECTRE dalam pengambilan keputusan multi-kriteria. Kerangka kerja tersebut mencakup langkah-langkah sistematis untuk mengidentifikasi parameter dan preferensi kunci, serta untuk mengukur dampak perubahan pada hasil keputusan dengan memvariasikan nilai-nilai ini. Analisis sensitivitas dilakukan dengan mempertimbangkan pengaruh perubahan dalam parameter, seperti bobot kriteria dan threshold preferensi, terhadap peringkat alternatif yang dihasilkan oleh metode ELECTRE. Dengan demikian, kerangka kerja ini membantu pengambil keputusan dalam memahami tingkat kestabilan dan keandalan keputusan yang dihasilkan oleh metode ELECTRE. Penelitian empiris dilakukan menggunakan studi kasus untuk mengilustrasikan penerapan kerangka kerja analisis sensitivitas. Hasil analisis menunjukkan bahwa perubahan dalam parameter dan preferensi kunci dapat signifikan mempengaruhi peringkat alternatif yang dihasilkan, menunjukkan pentingnya analisis sensitivitas dalam pengambilan keputusan multi-kriteria menggunakan metode ELECTRE.
Deteksi Serangan dalam Jaringan Komputer dengan Algoritma Pohon Keputusan C4.5
Authors: Esterlin Esterlin , Sihombing Volvo , Putra Juledi Angga
Published: April 2024

Deteksi serangan dalam jaringan komputer menjadi semakin penting seiring dengan meningkatnya kompleksitas serangan cyber yang ditujukan kepada sistem dan infrastruktur informasi. Dalam upaya melawan ancaman ini, penggunaan teknik-teknik kecerdasan buatan telah menjadi fokus utama dalam pengembangan sistem deteksi serangan yang efektif. Salah satu algoritma yang telah terbukti efektif dalam konteks ini adalah algoritma pohon keputusan C4.5. Penelitian ini bertujuan untuk menerapkan algoritma pohon keputusan C4.5 dalam deteksi serangan dalam jaringan komputer. Kami menggunakan dataset yang mencakup berbagai jenis serangan dan aktivitas jaringan untuk melatih dan menguji model deteksi serangan kami. Langkah-langkah yang kami ambil termasuk preprocessing data, pembangunan model pohon keputusan, dan evaluasi kinerja model. Hasil penelitian menunjukkan bahwa algoritma pohon keputusan C4.5 efektif dalam mengklasifikasikan aktivitas jaringan menjadi serangan dan non-serangan. Model yang dihasilkan mampu mengenali pola-pola yang terkait dengan serangan dan memberikan tingkat akurasi yang memadai dalam pengujian. Analisis lanjutan juga dilakukan untuk memahami faktor-faktor yang paling berpengaruh dalam deteksi serangan. Penelitian ini memberikan kontribusi penting dalam pengembangan sistem deteksi serangan yang lebih efektif dan dapat diandalkan dalam konteks jaringan komputer. Dengan memanfaatkan kekuatan algoritma pohon keputusan C4.5, kami berharap dapat membantu meningkatkan keamanan sistem informasi dan melindungi infrastruktur jaringan dari ancaman cyber yang semakin kompleks dan berkembang.
Pengembangan Sistem Informasi Kesehatan untuk Manajemen Data Pasien dan Perawatan yang Lebih Baik
Authors: Nurdila Nurdila , Sihombing Volvo , Putra Juledi Angga
Published: April 2024

− Pengembangan sistem informasi kesehatan (SIK) menjadi penting dalam era digital ini untuk meningkatkan manajemen data pasien dan memberikan perawatan yang lebih baik. Penelitian ini bertujuan untuk mengembangkan SIK yang dapat membantu penyedia layanan kesehatan dalam mengelola data pasien dengan lebih efisien serta meningkatkan koordinasi perawatan. Langkah-langkah pengembangan meliputi analisis kebutuhan, desain sistem, implementasi, dan evaluasi kinerja. Sistem yang dikembangkan memiliki fitur-fitur seperti pencatatan riwayat medis pasien, jadwal janji, pemantauan kondisi kesehatan, dan komunikasi antara penyedia layanan kesehatan. Hasil evaluasi menunjukkan bahwa SIK yang dikembangkan berhasil meningkatkan efisiensi dalam manajemen data pasien dan koordinasi perawatan. Penyedia layanan kesehatan dapat dengan mudah mengakses informasi pasien, merencanakan perawatan yang lebih terkoordinasi, dan berkomunikasi secara efektif dengan rekan kerja. Dengan demikian, pengembangan SIK ini diharapkan dapat memberikan kontribusi signifikan dalam meningkatkan kualitas layanan kesehatan dan hasil pasien melalui manajemen data yang lebih baik dan perawatan yang lebih terkoordinasi.
Analisis Keterkaitan Antara Gejala Penyakit Menggunakan Algoritma Apriori dalam Bidang Kesehatan
Authors: Rusmina Eva , Sihombing Volvo , Putra Juledi Angga
Published: April 2024

Analisis keterkaitan antara gejala penyakit merupakan aspek penting dalam bidang kesehatan yang memungkinkan identifikasi pola hubungan antara gejala yang dialami oleh pasien dan penyakit yang mendasarinya. Dalam konteks ini, algoritma Apriori dari bidang data mining telah diadopsi untuk menganalisis hubungan asosiatif antara gejala penyakit. Studi ini mengusulkan penerapan algoritma Apriori dalam analisis keterkaitan gejala penyakit dengan menggunakan data pasien dan catatan medis. Langkah-langkah sistematis dilakukan untuk membangun model asosiasi yang mengidentifikasi pola kemunculan bersama antara gejala-gejala yang mungkin menandakan adanya penyakit tertentu. Melalui penelitian ini, kami menunjukkan bahwa algoritma Apriori efektif dalam mengungkap pola keterkaitan antara gejala penyakit dalam dataset medis. Hasil analisis memberikan wawasan yang berharga tentang gejala-gejala yang sering kali muncul bersama, yang dapat membantu dokter dalam diagnosis dini dan pengelolaan penyakit. Penerapan algoritma Apriori dalam analisis keterkaitan antara gejala penyakit menawarkan potensi untuk meningkatkan pemahaman tentang profil penyakit dan memungkinkan pengembangan strategi diagnosis yang lebih tepat dan efisien dalam praktik klinis. Oleh karena itu, kontribusi algoritma ini dalam bidang kesehatan dapat menjadi langkah maju dalam upaya peningkatan perawatan pasien dan pengelolaan penyakit secara keseluruhan.
Distribution of ABO/Rhesus Blood Groups Among Hepatitis B and C Virus (HBV Ag, HCV Ab) Positive Patients in Anbar Providence, Iraq
Authors: Mahmood Mohammed Khairullah , Raeef Abdullah Abdulsattar
Published: April 2024

This study aimed to retrospectively investigate the prevalence of Hepatitis B Virus (HBV) and Hepatitis C Virus (HCV) infections among blood donors at Anbar Blood Bank in Iraq. The study also explored the correlation between ABO and Rh blood groups with Transfusion-Transmissible Infections (TTIs) and sociodemographic factors and cross-sectional retrospective study was conducted on 100 blood donors at Anbar Blood Bank from March 24, 2023, to June 21, 2023. Inclusion criteria encompassed HBV and HCV-positive patients who provided consent, while exclusion criteria included individuals without HBV and HCV infections. Blood samples (5 mL) were collected, and tests for TTI markers (HBV, HCV) and ABO and Rh blood grouping were performed using enzyme-linked immunosorbent assay (ELISA) and slide method, respectively. Sociodemographic data, TTI marker results, and ABO and Rh blood types were recorded for analysis. Descriptive analysis of sociodemographic data was performed, and a chi-square test was employed to assess the correlation between ABO and Rh blood groups with TTI markers and sociodemographic factors (Age, sex, and living area). Statistical significance was set at P<0.05. The results revealed a male predominance (71%), with the majority aged between 20-30 years (39%) and residing in rural areas (52%). The most common blood group was O+ (39%), while AB- was the least prevalent (0%). In terms of viral infections, 80% of participants were found to be infected with HBs Ag, and 20% with HCV Ab. Notably, blood group O+ exhibited the highest infection rates for both HBs (28%) and HCV (11%), while blood group A- demonstrated the lowest HBs infection rate (3%) and no HCV infection. The study provides valuable insights into the prevalence of HBV and HCV infections among blood donors in Anbar, Iraq. Additionally, correlations between ABO and Rh blood groups, TTI markers, and sociodemographic factors were explored. The findings contribute to the understanding of transfusion safety and may inform blood screening and donor selection protocols.
Climate Change Resilience Strategies for Sustainable Development: Integrating Weather Forecasts and Adaptation Measures
Authors: Alsharef Omer Mansuor , Hassan Mohamed Ahmed Salih
Published: April 2024

Amidst the ever-pressing challenges of climate change, the pursuit of sustainable development necessitates innovative strategies to bolster resilience. This research delves into the crucial fusion of weather forecasting and adaptive measures as a pivotal approach in confronting the multifaceted impacts of climate variability. Through a nuanced examination of existing literature and empirical case studies, this paper elucidates the potential synergies between timely weather forecasts and adaptive resilience strategies. By amalgamating insights from diverse sectors including infrastructure, agriculture, ecosystems, and communities, it illuminates pathways toward sustainable development in the face of climatic uncertainties. Emphasizing the significance of accessible and accurate weather information, this study underscores the transformative power of integrating forecasts into adaptation planning frameworks. Furthermore, it navigates the complexities of implementation, shedding light on both the opportunities and challenges inherent in such integrative approaches. Ultimately, this research endeavors to provide actionable recommendations for policymakers, practitioners, and researchers, fostering a collective vision for a more resilient and sustainable future amidst the turbulent currents of climate change.