bluuebunny/crossref_metadata_2025 huggingface dataset:
Роль хмарних технологій в організації безперервного обліку
Authors: Березний Олександр Васильович
Published: August 2024

У статті розглядається роль хмарних технологій в організації бухгалтерського обліку, враховуючи зміни традиційного менеджменту шляхом впровадження моделей безперервного обліку. Хмарний облік полегшує безперебійну інтеграцію даних у реальному часі з різних джерел, таких як банки, системи ERP і термінали торгових точок, гарантуючи, що інформація завжди актуальна та доступна. Завдяки автоматизації таких рутинних завдань, як звірка, аналіз відхилень і зіставлення транзакцій, хмарний облік зменшує часові затримки та помилки, пов’язані з традиційною обробкою наприкінці періоду, дозволяючи бухгалтерам зосередитися на більш стратегічних видах діяльності з доданою вартістю. Модель безперервного обліку (Continuous Accounting), заснована на хмарних технологіях, замінює традиційний підхід фіксації інформації на певну дату на динамічний робочий процес, який підтримує безперервний фінансовий аналіз і прийняття рішень у реальному часі. Такий підхід підвищує операційну ефективність, точність і швидкість реагування, надаючи керівництву своєчасну інформацію про фінансові показники. Крім того, у статті розглядаються проблеми впровадження хмарного обліку, враховуючи безпеку даних, стабільність системи, автентифікацію, підкреслюючи необхідність надійних заходів безпеки та комплексних стратегій управління ризиками. Використовуючи хмарний облік, підприємства можуть досягти значного покращення фінансової прозорості, продуктивності та ефективності витрат, що зрештою сприяє кращому стратегічному плануванню та успіху бізнесу. Результати дослідження наголошують на трансформаційному потенціалі хмарних технологій у формуванні майбутнього фінансового менеджменту та практики бухгалтерського обліку.
TERRORISMO EN ECUADOR; UN RETO PARA LAS FUERZAS ARMADAS NACIONALES PARA LA APLICACIÓN DE TÁCTICAS PROPIAS DE UN CONFLICTO ASIMÉTRICO
Authors: Luna Quiroz Marlon , Acuña López Ricardo
Published: August 2024

El terrorismo ha sido una amenaza global que impacta la seguridad y defensa de los Estados y el Ecuador no está exento de este contexto. Bajo esta premisa, se considera la definición misma del terrorismo y un análisis de su evolución en el contexto del Ecuador, abordándolo como una de las principales amenazas y desafíos que plantea. Profundiza las estrategias y tácticas empleadas por las Fuerzas Armadas del Ecuador (FF.AA.Ec), destacando un enfoque integral que abarca la disuasión, la prevención y su respuesta.
La cooperación interinstitucional nacional e internacional y las tácticas aplicadas en la lucha antiterrorista permitirán fortalecer la capacidad disuasiva de FF.AA.Ec mediante el desarrollo de habilidades militares modernas, las que se implementan con programas preventivos para desterrar las raíces del terrorismo, evidenciando la preparación efecti- va en respuesta a los posibles ataques de estas organizaciones.
La complejidad de la amenaza se enfatiza en la necesidad de esfuerzos continuos e interinstitucionales para garantizar la defensa y seguridad del país, donde las acciones de las FF.AA.Ec reflejan un compromiso integral para enfrentar la amenaza terrorista, contribuyendo significa- tivamente a la protección de la soberanía, el desarrollo y la integridad territorial del país.
EL ANUNCIO DE UN NUEVO ORDEN INTERNACIONAL
Authors: El Editor
Published: August 2024

Declaración conjunta de la República Popular China y la Federación de Rusia sobre la profundización de la asociación estratégica de colaboración integral en la nueva era con motivo del 75o aniversario del establecimiento de relaciones diplomáticas entre los dos países
Sustaining Retentive Memory of Mathematics Concepts in Adolescents Utilising Game-Based Learning: A Case of Repeated Measures
Authors: Mosia Moeketsi O. , Egara Felix O.
Published: August 2024

Effective mathematics education is pivotal for students’ academic achievements and future career prospects. However, traditional teaching methods are often inadequate for helping students retain mathematical concepts, emphasizing the necessity for innovative approaches such as game-based learning. This research aimed to assess the efficacy of game-based learning in bolstering the retention of trigonometry concepts among senior secondary school students. Employing a mixed between and within measures ANOVA design, the study randomly assigned 60 students (aged 15-16 years, 31 males and 29 females) to either an experimental group (n=28) receiving game-based learning or a control group (n=32) receiving traditional instruction. Data, collected through the study’s tool (Mathematics Achievement Test [MAT]) at the pre-test, post-test, and retention test stages, underwent repeated measures ANOVA analysis. Results indicated significant effects of Group [F(1, 58) = 44.081, p<.001, ?²p=.432], Time [F(1.783, 103.4) = 16.561, p<.001, ?²p=.222], and Group by Time interaction [F(1.783, 103.4) = 18.125, p<.001, ?²p=.238]. The experimental group exhibited notably higher retention scores (Time 3 mean = 74.82) than the control group (Time 3 mean = 44.38). Importantly, gender, age, and location did not significantly moderate the effectiveness of the game-based approach. In conclusion, game-based learning effectively enhances and sustains students’ retention of trigonometry concepts, irrespective of demographic variables. This study furnishes empirical validation for integrating game-based learning into mathematics education, underscoring its potential to fortify conceptual retention, and offering actionable insights for educators and policymakers alike.
An Analysis of Performance and Dataset Dynamics in the Early Detection of Cardiovascular Diseases
Authors: Sirigeri Kartikaaditya , Tadi Divya Teja Reddy , Reshmi Panda Sahukar , Padala Sanjay Vardhan , S Sarath
Published: August 2024

Cardiovascular Diseases (CVD) are the most prevalent global health concern that demands p romp t at t ent ion given their substantial role in increasing mortality figures. Owing to the need for early detection to alleviate the inimical effects of CVD, this study makes extensive use of machine learning techniques including Support Vector Machine (SVM), AdaBoost, XGBoost, and Decision Tree in the early prediction of cardiovascular diseases. The robustness of the model will be enhanced by assessing three diverse datasets enriched with various types of patient information to derive the most efficient model. Through this study we conduct thorough performance evaluations, considering various evaluation metrics such as Accuracy, Sensitivity and False positive rate, aiming to identify the most effective machine learning model for early CVD detection. The results help shed light on important findings that can lead to improved outcomes, which help in the fight against cardiovascular diseases.
Exploring the Effectiveness of Various Machine Learning Models in Analyzing Sentiment from Twitter Data
Authors: Kurukkat Jishnu Prakash , Liyons Liz Maria , Ajay Anaswer , Joshy Akshaj Vadakkath , Sasidharan Sarath
Published: August 2024

This research assesses sentiment analysis on Twitter posts about Twitter tweets, comparing ma- chine learning techniques. Four different models are used to classify and their efficacy is evaluated. Addressing balanced datasets, SVM excels in balanced sentiment scenarios. Using metrics like accuracy and recall, the study offersinsights for decision-making in marketing and social studies. Emphasizing machine learning effectiveness, the research suggests improvements for sentiment analysis in diverse domains, particularly in understanding positive and negative Twitter tweets.
Detecting Non-Alcoholic Fatty Liver Disease (NAFLD) using Clinical Reports
Authors: Warrier Lakshmi , M Devika , Raghavendra Perumalla , S Remya
Published: August 2024

Non-Alcoholic Fatty Liver Disease (NAFLD) is a prevalent liver condition that necessi- tates accurate and non-invasive diagnostic approaches for effective treatment. This research addresses the challenges associated with present invasive procedures, such as liver biopsies, and proposes a novel diagnostic tool. Inspired by the limitations of existing methods, our project focuses on revolutionizing routine check-ups for middle-aged individuals at risk of NAFLD. Instead of traditional invasive biopsies, our diagnostic tool recommends a blood test, ensuring accurate identification and timely intervention. The conventional diagnostic methods for NAFLD involve imaging and invasive procedures, leading to accessibility and accuracy issues. In response, our user-friendly web application utilizes standard blood test findings to provide a quick and painless NAFLD diagnosis. This approach aims to create an affordable, easily accessible tool that minimizes patient discomfort. Leveraging a dataset of 3,237 individuals from NHANES III, our model achieves an outstanding accuracy rate of 89%. The dataset includes both NAFLD-positive and NAFLD-negative cases, ensur- ing a robust and representative model. In summary, this work makes significant strides in developing a blood-based, non-invasive method that enhances accessibility to NAFLD diagnostics through a user-friendly web application. The proposed tool offers a convenient option for patients and equips healthcare providers with an effective NAFLD diagnostic tool, fostering better patient care outcomes through early detection and intervention.
Investigation of Quantum Antenna Process for Advanced Wireless Communication systems by implementing Quantum Key Distribution algorithms
Authors: Kasigari Prasad , Kamasani Gayathri , Kavanoor Gopisriya , Muntimadugu Baba Shareef , Shaik Abubakar
Published: August 2024

The forthcoming age of communication systems requires increased security, faster processing, and simpler encryption techniques. Quantum information and communication technology offer a revolutionary era featuring high-speed and inherently secure networks. With the looming prospect of quantum supremacy, traditional encryption systems face potential obsolescence in terms of security. In response to this challenge, quantum key distribution (QKD) emerges as an innovative solution for exchanging secret keys in a quantum based manner, addressing the limitations of conventional encryption methods. Within the proposed work, the focus extends to the implementation of a MIMO- QKD scheme tailored for terahertz (THz) frequency applications. The paper provides a comprehensive examination of both single-antenna QKD schemes and the performance of the MIMO QKD scheme. Simulation results underscore the indispensability of multiple antennas to mitigate the substantial free-space path loss encountered at THz frequencies.
Machine Learning in Alzheimer's Prediction: A Comprehensive Study and Evaluation
Authors: Karri Harika Devi , Kandru Akhila , Petta Anjali Prasad , Lankalapalli Prajyesh , Gampala Veerraju
Published: August 2024

Alzheimer's disease, a neurodegenerative disorder with profound societal impact, necessitates robust predictive models for early detection. This research delves into the realm of Alzheimer's prediction, concentrating on the efficacy of various machine learning algorithms. Gaining knowledge from previously published works in the Scopus database, we carried out a thorough review to identify recurring machine learning concepts. Our study synthesized information from diverse sources, revealing seven frequently employed machine learning algorithms. Through meticulous analysis of these algorithms, we discovered that Support Vector Machines (SVM) emerged as the most effective predictor, exhibiting superior performance in comparison to other models. The evaluation process included considerations of accuracy, sensitivity, and specificity, with SVM consistently outperforming its counterparts. Additionally, Random Forest emerged as a noteworthy alternative, showcasing commendable predictive capabilities. This study not only demonstrates the significance of machine learning in Alzheimer's prediction but also offers perceptive data for choosing the most efficient algorithmic approach. Our findings underscore the potential of SVM and Random Forest in enhancing diagnostic accuracy, laying the foundation for future advancements in early Alzheimer's detection and intervention. As the prevalence of Alzheimer's continues to rise, our work seeks to inform and guide scholars and professionals involved in the creation of efficient and reliable predictive models for improved patient outcomes.
The Enhanced Human Activity Recognition: A Context Based Two-Stream Framework for Learning Temporal and Spatial Features
Authors: Kamble Milind , Bichkar Rajankumar
Published: August 2024

Human Activity Recognition (HAR) from video signals is increasingly crucial for surveillance, healthcare, robotics, and augmented reality applications. Accurately iden- tifying human actions is vital in our data-driven world, posing a significant technological challenge. This study introduces a comprehensive methodology for HAR, starting with the preprocessing of video frames using context-awareness. The context-aware frames are then fed into a two-stream framework, extracting spatial and temporal features in a complemen- tary manner. The spatial stream analyzes visual features from individual video frames, while the temporal stream focuses on dynamic aspects, capturing intricate motion patterns. This separation allows for a detailed analysis of video data, aligning with human perception of activities. The subsequent stage involves a late binding mechanism, enabling optimal interaction between spatial and temporal streams. Integration in a dense layer allows the model to harness interactions between these information streams, significantly improving recognition accuracy. Rigorous experimental validation confirms the efficacy and reliabil- ity of the proposed approach in diverse scenarios using real-world datasets HMDB51 and UCF50. The results demonstrate high accuracy, precision, recall, and F-measure for the combined spatial and temporal model compared to individual streams. This research con- tributes to advancing HAR technology, improving how computers interpret and recognize human activities in videos for practical and beneficial applications.
Voice Recognition System with STORJ Decentralized Storage
Authors: Jany Shabu S.L. , Pooja R A , Ronie Joe J , Refonaa J , Praveen S , Abirami R
Published: August 2024

The proposed Virtual Assistant System (VAS) represents a new solution revolutionizing user interactions with technology by seamlessly integrating Natural Language Processing (NLP) and Artificial Intelligence (AI), facilitating effortless communication through voice commands. By employing cutting-edge speech recognition algorithms, the proposed system accurately translates the voice input into text, adapting responses based on individual user preferences over time. The proposed system offers a diverse range of functionalities including information retrieval, task automation, and smart home control to assist users in managing the tasks hands-free with an intelligent interface providing varying levels of technical expertise. Safeguarding user privacy and control, the system allows users to opt-in or opt-out of data collection with complete transparency and robust security measures. Continuous improvement through extensive testing and user feedback addresses the challenges like accurately interpreting complex commands, positioning the Virtual Assistant System (VAS) as a sophisticated, personalized, and privacy-aware solution at the forefront of virtual assistant technology.
How Startups Gain a Market Edge Through Eco- Friendly Practices: Empirical Insights from Sustainable Startups through Data-Driven Analysis
Authors: Sharma Riya , Mani Ambica Prakash , Christa Sharon , V Suma , Tripathi Vinayendra Mani
Published: August 2024

In the dynamic landscape of the entrepreneurial ecosystem, where ventures are adopting sustainable business models, it becomes essential to analyze whether the adoption of sustainable business practices has a competitive advantage. This study investigates the complicated relationship between Sustainable Business Practices (SBP) and Competitive Advantage (CA) on a robust dataset of diverse startups and applies advanced regression analysis with a 10-fold cross- validation methodology. The results show a strong and positive association between SBP and CA. The results not only establish a statistical relation but also highlight the significant impact of sustainable practices on startup competitive advantage. This research contributes to both academic literature and management decision-making by giving detailed insights, as well as a strategic roadmap for entrepreneurs looking to exploit sustainability as a cornerstone of their competitive strategy.
Experimentally Enhancing ResNet50 Performance on the Intel Dataset Through Architectural Modifications
Authors: Agasti Ketone , G Kisor , Thalapilly Maanav , M Pranathi , Panicker J Vinitha
Published: August 2024

This study focuses on enhancing the performance of the ResNet50 model on the Intel dataset, a collection of images depicting diverse natural scenes under various environmental conditions. While ResNet50 has shown remarkable performance in image classification tasks, its application to the Intel dataset reveals certain limitations in accurately discern- ing subtle features within scenes. To address this, proposed architectural modifications to ResNet50 aimed at capturing intricate features specific to the Intel dataset. Four distinct modifications are introduced, tailored to exploit different aspects of scene complexity present in the dataset. Through extensive experimentation and evaluation, we demonstrate the effectiveness of these modifications in improving the model’s classification accuracy on the Intel dataset. the findings not only contribute to advancing deep learning methodologies for image analysis but also underscore the importance of tailored model design for specific task domains.
Child Monitoring and Data Analysis via Computer Vision
Authors: Tripathi Shantanu , Sharma Ashutosh , Krishnan Gokula
Published: August 2024

Ensuring children's safety is a top priority for parents globally amidst urban and suburban complexities. Traditional supervision methods are increasingly impractical in today's fast-paced society, leading to a rise in missing children cases, such as the 47,000 reports in India in 2023. To combat this, an innovative solution harnessing computer vision technology, specifically OpenCV, has been developed. This system offers real-time monitoring within designated safe zones, utilizing sophisticated image processing and object tracking.
Ultrawideband Microstrip Antenna for Wireless Body Area Network in IOT Applications
Authors: G Susmitha Krishna , Bandi Alekhya , N Poojitha , Polani Sree Pranavi
Published: August 2024

Creating a microstrip antenna for Wireless Body Area Network (WBAN) applications is a major challenge in the Internet of Things (IoT). Sports monitoring, healthcare, and other industries are among the areas for which this antenna is intended for usage. It operates in the 9.4 to 18.3 GHz UWB frequency range. It follows a meticulous modelling and design process. To miniaturize without compromising performance, the goal is to employ cutting- edge techniques like compact architectures and fractal geometries. In order to provide dependable connectivity in body-centric Internet of Things applications, the antenna aims to demonstrate perfect impedance matching and an omnidirectional radiation pattern.
Automated Ration Distribution:Addressing Challenges in Food Distribution System
Authors: Ravi Gayathiri , Sri Sivamuthukumar Karthikha Sri , Ramachandran Sakthi Prabha
Published: August 2024

India's Public Distribution System (PDS) is a government policy that distributes commodities to needy people at fixed rates. However, manual intervention in weighing materials leads to inaccurate measurements and illegal use of consumer materials. At present, we have a system where the products are manually forwarded to the consumer by scanning their ration card and by verifying their fingerprint. But this was not enough for the corruption to stop. So, a system has been proposed where there will be a two-step verification as usual. But, when the step to handle the commodity comes, we use automation instead of manual labor. Consumers are provided with an RFID card that acts as a ration card with a unique identification number. The RFID card is scanned by an RFID reader interfaced with a microcontroller at a ration shop. The system then asks for the customer’s fingerprint, and it identifies whether the fingerprint matches the card. If both matches then the system automatically activates after verifying the consumer's allotted amount of rice, wheat, and sugar. The consumer receives the products when

they provide their bowl or cover at the bottom of the container. The motor at the entry point rotates, such that the selected item falls into the main outlet, and the consumer gets the material by weighing it on the load cell. A confirmation message is sent to the consumer's mobile number upon successful completion of the purchase. It is much more efficient than the manual system as it reduces labor costs and also stops the way to smuggle goods.
Decentralized Organ Donation and Transplantation Using Blockchain Technology
Authors: Arumugam Jeevanantham , Kulanthaivel Dhanush , Mahalingam Dharani , Selvam Karthikeyan
Published: August 2024

The management of organ donation and transplantation systems is confronted with numerous challenges, spanning registration, donor-recipient matching, organ logistics, and ethical considerations. In response, this paper proposes a decentralized solution leveraging a private Ethereum blockchain framework. This paper establishes a secure, traceable, and privacy-preserving environment by utilizing smart contracts and a suite of innovative algorithms. This approach's robustness and trustworthiness will be highlighted by implementation details, testing procedures, and thorough evaluations that cover privacy, security, and confidentiality. Through comparative analyses, this solution emerges as a promising avenue for enhancing equity, efficiency, and patient confidence in organ donation and transplantation management.
A developmental neurotoxicity adverse outcome pathway (DNT‐AOP) with voltage gate sodium channel (VGSC) inhibition as a molecular initiating event (MiE)
Authors:   European Food Safety Authority (EFSA), Crofton Kevin M. , Paparella Martin , Price Anna , Mangas Iris , Martino Laura , Terron Andrea , Hernández‐Jerez Antonio
Published: August 2024

Abstract
The adverse outcome pathway (AOP) framework serves as a practical tool for organising scientific knowledge that can be used to infer cause–effect relationships between stressor events and toxicity outcomes in intact organisms. However, a major challenge in the broader application of the AOP concept within regulatory toxicology is the development of a robust AOPs that can withstand peer review and acceptance. This is mainly due to the considerable amount of work required to substantiate the modular units of a complete AOP, which can take years from inception to completion. The methodology used here consisted of an initial assessment of a single chemical hazard using the Integrated Approach to Testing and Assessment (IATA) framework. An evidence‐based approach was then used to gather empirical evidence combining systematic literature review methods with expert knowledge to ensure the effectiveness of the AOP development methodology. The structured framework used assured transparency, objectivity and comprehensiveness, and included expert knowledge elicitation for the evaluation of key event relationships (KERs). This stepwise approach led to the development of an AOP that begins with binding of chemicals to Voltage Gate Sodium Channels (VGSC/Nav) during mammalian development leading to adverse consequences in neurodevelopment evidenced as deficits in cognitive functions. Disruption of the formation of precise neural circuits by alterations in VGSC kinetics during the perinatal stages of brain development may also underlie neurodevelopmental disorders. Gaps in our understanding include the specific critical developmental windows and the quantitative relationship of binding to VGSC and subsequent disruption and cognitive function. Despite the limited quantitative information at all KER levels, regulatory applications of this AOP for DNT assessment have been identified.
La difícil fiscalidad de los pequeños contribuyentes mexicanos: Un estudio sobre la elusión y evasión fiscal en los tiempos del REPECO
Authors: Taguenca Belmonte Juan Antonio
Published: August 2024

La Administración Tributaria tiene como misión la recaudación de impuestos y de aportaciones a la Seguridad Social, así como el cobro de contribuciones y de derechos. Siendo estas sus funciones, su legitimidad parte de otro lado: la aplicación estricta de los principios de generalidad, proporcionalidad y equidad en el cobro. Por tanto, la visión que rige la actividad fiscal debe ser el cumplimiento correcto y oportuno en el entero de los impuestos por parte de los contribuyentes.
La innovación y las principales variables que influyen en el desarrollo de Pymes en el estado de Hidalgo
Authors: Sánchez Trujillo Magda Gabriela , Rodríguez Lugo Ventura
Published: August 2024

Como consecuencia de las diversas actividades que se llevan a cabo en la sociedad moderna, ha surgido la necesidad de una mayor interacción entre las instituciones que desarrollan investigación y tecnología y los sectores productivos y social, de tal forma que esta sinergia genera un valor agregado tal que contribuya a mejor al nivel de vida de la población y poner al alcance de la sociedad múltiples avances científicos y tecnológicos a través de la articulación entre la innovación, la transferencia tecnológica, el desarrollo y los servicios tecnológicos. Todo ello habrá de favorecer el desarrollo de modelos de crecimiento que contribuyan al impulso de la economía del conocimiento
RELATOS SONOROS: QUINTO PODER EN 99.7 XHUAH
Authors: Hernández Carballido Elvira , Rodríguez Trejo Silvia
Published: August 2024

La radio, definida de una y mil maneras. La radio, estudiada con interés por especialistas de la comunicación. La radio, recuperada por quienes hacen la historia de los medios de comunicación en México. La radio, juzgada por la severa crítica de la calidad mediática. La radio, absuelta por quienes la califican de mágica y creativa. La radio, una parte importante en la vida de quienes hemos experimentado su generosidad y su complicidad con la imaginación. Quien ha hecho radio no duda de ese gran compromiso de estar frente al micrófono para expresar ideas, sensaciones y sentimientos. Ninguna persona que ha escrito una escaleta o un guión para radio duda del reto constante y de la alegría absoluta de jugar con los sonidos y nutrir la imaginación. Nos sorprende su inmediatez y su actualidad, agradecemos que sea unisensorial y unidireccional. Que sea íntima, emotiva y expresiva. Versátil y flexible. Pero a veces lamentamos su instantaneidad y fugacidad. Seguramente por eso nació este libro, con el deseo de atrapar voces y sonidos, con el reto de imprimir frecuencias y sintonías, de evitar la caducidad de los mensajes radiofónicos, de darle eternidad al sonido de la radio.
EFEKTIVITAS PENAMBAHAN EM-4 PADA PROSES FERMENTASI ECO ENZYME: PENGOLAHAN SAMPAH RUMAH TANGGA MENJADI PRODUK SERBA GUNA
Authors: Patrisyawati Winda , Muniroh Choirul , Fakhruddin Faiz , Widiyanto Afri , Trisnowati Eli
Published: August 2024

Limbah rumah tangga organik seperti sisa sayur dan kulit buah seringkali diabaikan dan berakhir di Tempat Pembuangan Akhir (TPA). Studi ini melihat eco enzyme sebagai cara yang efektif untuk mengurangi limbah rumah tangga organik. Studi ini menggunakan metode eksperimen dengan Effective Microorganism-4 (EM4) untuk mempercepat proses fermentasi pembuatan eco enzyme. Selama 13 hari percobaan, terjadi perubahan dalam jumlah gelembung, warna, dan bau. Hasil penelitian menunjukkan bahwa penggunaan EM4 dalam pembuatan eco enzyme mengubah proses fermentasi secara signifikan. Proses fermentasi sebenarnya memerlukan waktu yang cukup lama, sekitar tiga bulan. Ketika pengamatan dilakukan, proses fermentasi masih berlanjut hingga hari ke-13. Pengamatan ini menunjukkan bahwa harus ada pengaturan gelembung gas selama fermentasi untuk mencegah kecelakaan seperti ledakan botol. Eco enzyme yang dibuat dari limbah organik adalah alternatif untuk mengurangi limbah rumah tangga dan menghasilkan produk yang bermanfaat. Penggunaan EM4 dalam jumlah yang tepat dan waktu fermentasi yang cukup akan menghasilkan produk berkualitas.
La construcción social del amor en el teatro
Authors: Cervantes Flores Jesús Gerardo , Valdez Alejandro Gerardo
Published: August 2024

Este artículo explora la compleja intersección entre el amor y el teatro. Se hará una revisión sobre el abordaje del concepto del amor en textos teatrales de diferentes épocas y contextos culturales, revelando que el amor es una construcción social aprendida en la interacción con otros. Se parte de la idea de que el amor no es simplemente un sentimiento profundo, sino una construcción social influenciada por la sociedad y sus instituciones. Se destaca el mito de los seres dobles en El banquete de Platón como un relato fundacional del amor romántico, donde la búsqueda de la otra mitad se presenta como un elemento clave y, aunque este diálogo no es un texto dramático, resulta pertinente su mención, puesto que suele replicarse de diversas formas a través de la dramaturgia. A lo largo de la historia occidental, el teatro ha sido un espacio crucial para la representación y legitimación de diversas concepciones y expresiones de amor, desde las obras de Shakespeare hasta las tragedias de Lorca. En conclusión, los textos teatrales que se revisan en este trabajo destacan la riqueza y diversidad del tratamiento del amor en el teatro a lo largo del tiempo, mostrando cómo esta expresión artística refleja y contribuye a dar forma a las concepciones sociales y culturales del amor.
SEBARAN SPASIO-TEMPORAL SPL DAN KLOROFIL-a DI PERAIRAN WPP 713 (STUDI KASUS PERAIRAN KAB. SINJAI, KAB. BULELENG, KAB. KOTABARU, DAN KOTA MAKASSAR)
Authors: Apriliani Izza Mahdiana , Dewanti Lantun Paradhita , KDNY Putra Pringgo , Rokhim Irvan Nur
Published: August 2024

Suhu permukaan laut dan klorofil-a menjadi parameter penting untuk mengetahui kondisi oseanografi di suatu perairan. Metode dalam pendeteksian sebaran spasio-temporal di suatu perairan salah satunya dengan memanfaatkan teknologi penginderaan jauh. Tujuan penelitian ini adalah untuk mengetahui sebaran spasio-temporal di WPP 713. Penelitian dilaksanakan menggunakan metode deskriptif. Teknik pengambilan data dengan metode penginderaan jauh untuk menganalisis parameter oseanografi yang digunakan. Data penelitian meliputi SPL dan klorofil-a yang diperoleh dari citra satelit Aqua-MODIS periode bulan Desember 2021 sampai November 2022. Hasil dari penelitian ini yaitu sebaran SPL dan klorofil-a di perairan WPP 713 pada setiap bulannya dikatakan subur dan hangat, berdasarkan dari klasifikasi sebaran dari bulan Desember 2021 sampai November 2022 di setiap wilayah studi kasus.
Kata kunci: oseanografi, penginderaan jauh, sumberdaya perikanan
The Rhetorical Structure of Method Section of Research Articles in Reputable International Journal of ELT Published in Indonesia
Authors: Hadianto. S Arief , Arsyad Safnil , Syafryadin Syafryadin
Published: August 2024

This study investigated the rhetorical structure of method section in English language teaching articles. A corpus consisting of 80 research articles in reputable international journal of English language teaching published in Indonesia was systematically sampled to serve as data input for analysis. The results showed that the method section of English language teaching articles were characterized by structural complexity and rich, nuanced descriptions. English language teaching researchers generally used three rhetorical moves to realize the overall communication goal of the methods section: 1) Describing the research design, 2) Describing the data collection procedures, and 3) Describing the data analysis procedures. While Move-1 was a Conventional move and did not have constituent steps, the second and third Move have a series of constituent steps, with Move-2 was an Obligatory move and the Move-3 was a Conventional. The most hypothetical model of method section in the results of this research were Describing research design (M1), Describing the Data Collection Procedure (M2): Describing the Samples (Move 2- Step B), Describing Research Instruments (Move 2- Step C), Elaborating on Data Collection Procedure (Move 2-Step D), and Describing the Data Analysis Procedure (Move 3): Relating (or recounting) data analysis procedure/s (Move 3- Step A). These Moves and Steps provide very detailed information on various aspects of the methodology. Pedagogically, the results can provide input for lecturers and students in writing research method section of English education field.Keywords: Academic writing, Rhetorical structure, Research method, Reputable international journal
English For Islamic Banking: What English Need of Indonesian Syariah Bank Employees in Bengkulu City
Authors: Kurniawan Yuda Septian , Hakim M. Arif Rahman , Yanto Syafri
Published: August 2024

This research aims to determine the English language needs of Indonesian sharia bank employees in Bengkulu City. The research design in this research is qualitative research, while the research subjects are 10 Indonesian sharia bank employees in Bengkulu City. This research data was collected using interviews technique. Research findings show that: (1) Islamic bank employees need English language materials related to banking, accounting and computer applications; and (2) Islamic bank employees need more reading skills than listening, speaking and writing skills because they work more with written documents in English. Bank employees also work with computer programs, so all instructions and terms on the computer use English. Based on these needs, employees should havea good pronunciation in banking, accounting and computer English terms. They also need skills in correspondence via electronic mail or email.
A adoção da gestão por competências na operacionalização das contratações públicas
Authors: Marques Paulo Henrique Gomes
Published: August 2024

Este artigo analisa a adoção da gestão por competências na operacionalização das contratações públicas à luz da Lei nº 14.133/2021. A gestão por competências, amplamente utilizada no setor privado, é apresentada como uma estratégia para aprimorar a eficiência e a eficácia das contratações públicas. A pesquisa aborda os conceitos de competência e gestão por competências, discute o papel da lei em promover essa abordagem no setor público e explora os desafios, soluções e oportunidades na implementação desta gestão nas contratações públicas.
Reliability and Diagnostic Performance of Transient Hepatic Elastography in Chronic Hepatitis C during the Training Phase
Authors: Appel F , Ercolin S , Monteiro MM , Lomes N , Uehara S , Emori CT , Nunes EJS , El Bacha I , Oliveira AC , Feldner ACCA , Silva ISS , Silva AEB , Ferraz MLG , Parise ER , Carvalho-Filho RJ
Published: August 2024

Chronic infection with the hepatitis C virus (HCV) is estimated to affect 58 million people worldwide and around 700,000 individuals in Brazil. Various non-invasive markers of hepatic fibrosis have been proposed, such as transient hepatic elastography (THE) using FibroScan®. However, the reliability of the performance, by operators in the training phase is undetermined, which hinders its applicability in clinical practice. Objectives: The present study aimed to evaluate the impact of training an inexperienced operator to perform the examinations using FibroScan® in patients with chronic hepatitis C. Specifically, the frequency of unreliable results throughout the training was assessed. Methods: This is a cross-sectional study with retrospective data collection including compensated chronic hepatitis C patients who underwent the examinations using FibroScan® between March 2014 and December 2016, performed by two researchers. Included patients were divided into two groups based on the operator's experience in the examination: the Experienced Examiner (EE) group and the Examiner in Training (ET) group, with the latter divided into two phases: phase 1, consisting of the first 100 examinations, and phase 2, comprising subsequent examinations. For the reliability analysis, parameters such as success rate (SR), interquartile range (IQR) to median (Md) ratio (IQR/Md), and reliability criteria of Castéra, et al. and Boursier, et al. were used. Results: Between March 2014 and December 2016, 771 adult HCV-infected individuals were evaluated and divided into EE group (n = 161), ET phase 1 (n = 100), and ET phase 2 (n = 158), showing similar demographic, clinical, and laboratory characteristics. SR and IQR/Md ratios were similar among EE, ET phase 1, and ET phase 2 groups. The proportion of reliable results was comparable in all three groups, using Castéra, et al. reliability criteria (92.5%, 92.0%, and 97.5%, respectively) and Boursier, et al. criteria (96.9%, 95.0%, and 98.1%, respectively). Conclusion: A short training period (up to 100 examinations) seems to be sufficient for them to have good clinical applicability in the hands of an operator with initial experience in the method.
Predicting multidimensionality of mathematical creativity among students: Do mathematics self-efficacy, attitude to mathematics and motivation to mathematics matter?
Authors: Ovat Sylvia Victor , Ofem Usani Joseph , Ajuluchukwu Eunice Ngozi , Asuquo Eno Ndarake , Undie Stephen Bepeh , Amanso Eme Orok Iban , Ene Ene I. , Idung Joseph Udo , Obi Joy Joseph , Elogbo Eno E. , Iserom Caroline Ita , Nnaji Emeka Samuel , Orji Evelyn Ijeoma , Arikpo Okri John
Published: August 2024

Mathematical creativity is the focus of most curriculum in that students with this ability are prone to solving problems in society from a multidimensional perspective. However, studies of this nature, especially in Africa, are limited, and this poses a challenge to policy development. To cover this gap, the study sought to model the predictive effect of mathematics self-efficacy, motivation for mathematics, and attitude towards mathematics on mathematical creativity from a multidimensional perspective. The study adopted a cross-sectional survey using 654 mathematics students for the study. Two instruments–the mathematics self-efficacy, attitude towards mathematics, and mathematical motivation scales and the mathematical creativity test were used for data analysis after they had undergone a qualitative and quantitatively rigorous validation process. This was done using exploratory and confirmatory factor analysis with the average variance extracted and Fornell-Larcker criterion for convergent and divergent analysis, respectively, while Cronbach’s alpha was used to determine the stability of the scales. Analysis was performed using hierarchical regression and the result showed that mathematics self-efficacy and attitude towards mathematics, when taken individually, are the only strong predictors of mathematics creativity from the perspective of fluency, flexibility, and originality components. Collectively, the three predictors were significant in contributing to the variance in mathematics creatively from the three dimensions assessed. However, mathematics self-efficacy was the strongest predictor, followed by attitude towards mathematics. The implications of the study were discussed for policy and curriculum redesign in mathematics education.
Exploring the relationship between self-efficacy beliefs when teaching science and engineering
Authors: Luzin Alexey , Rozhnov Artemiy A. , Tkachenko Tatiana V. , Shoustikova Tatyana , Tukhvatullina Leysan R. , Batrakova Irina A.
Published: August 2024

The belief that pre-service science teachers can effectively instruct science has been the subject of substantial research. However, a lack of research exists to examine the relationship between pre-service teachers’ self-efficacy beliefs and their capacity to teach science and engineering. To fill this void in the literature, it is necessary to investigate the relationship between self-efficacy beliefs in engineering and science education. To address this knowledge deficit, this research investigated the relationship between pre-service science teachers’ self-efficacy beliefs in science instruction and their engineering teaching self-efficacy beliefs. The data were obtained from 224 pre-service science teachers using a quantitative approach. The study results indicated that pre-service teachers’ self-efficacy beliefs in science teaching were higher than in engineering teaching. The correlation analysis revealed a strong and significant correlation between self-efficacy beliefs in science and engineering teaching. The regression analysis also showed a significant relationship between self-efficacy beliefs in science and engineering. In addition, the results also revealed that science-teaching self-efficacy beliefs explained 52% of the variation in participants’ engineering-teaching self-efficacy beliefs. Future research recommendations are derived from the results.
Kohesi dan Koherensi dalam Karangan Siswa Kelas VI Madrasah Ibtidaiyah Ash-Sholahiyah Depok Jawa Barat
Authors: Nafilah Ila , Rokhayati Reni , Jayanti Memmy Dwi
Published: August 2024

Ilmu linguistik terdiri dari beberapa bidang keilmuan di antaranya fonologi, morfologi, sintaksis, semantik dan wacana. Dari beberapa bidang kebahasaan tersebut, wacana merupakan satuan bahasa terlengkap dan tertinggi dalam hierarki kebahasaan. Wacana terdiri dari dua jenis, yaitu wacana lisan dan wacana tulis. Wacana lisan diungkapkan dalam komunikasi verbal, sedangkan wacana tulis dinyatakan ke dalam sebuah tuli san yang memuat rentetan kalimat yang saling berhubungan antara satu dengan yang lainnya dalam membentuk satu kesatuan informasi. Penelitian ini menggunakan pendekatan deskriptif kualitatif yang mengedepankan kedalaman penghayatan terhadap interaksi antar onsep yang sedang dikaji secara empiris dengan menggunakan kata-kata atau gambar. Penelitian dengan pendekatan kualitatif ini menggunakan
metode analisis isi (content analysis). Analisis isi ini digunakan dalam pencarian fakta dengan interpretasi data berupa karangan karangan siswa kelas VI Madrasah Ibtidaiyah Ash-Sholahiyah yang berjudul “Kepedulian dan Tanggung Jawab Terhadap Makhluk Hidup dan Lingkungan”. Analisis yang dilakukan adalah analisis terhadap kajian analisis kohesi dan koherensi. Tujuan dilaksanakannya penelitian ini adalah: untuk menganalisis dan memperoleh gambaran yang jelas mengenai kohesi dan koherensi dalam karangan siswa kelas VI Madrasah Ibtidaiyah yang berjudul “Kepedulian dan Tanggung Jawab Terhadap Makhluk Hidup dan Lingkungan”.
Acceptance analysis of payment system Quick Response Code Indonesian Standard (QRIS) using technology acceptance model
Authors: Deki Nur Fitrian  , Widayanto  , Hari Susanta Nugraha
Published: August 2024

Digital age has a significant impact on people's daily activities. One of the benefits of digitalization is the emergence of digital payment systems to facilitate transactions. QRIS (Quick Response Indonesian Standard) is one of the non-cash payment systems launched by Bank Indonesia and the Indonesian Payment Systems Association in 2019. Although QRIS continues to increase users every year, the tendency of Indonesian people to use cash or debit cards for transactions is still high. In addition, the discovery of security loopholes in the QRIS payment system also makes people hesitant to use the system. This study aims to examine the effect of perceived ease of use, perceived usefulness, perceived security on actual usage through behavioral intention to use as an intervening variable. The type of research used is explanatory research. Sampling was carried out using non-probability techniques with purposive sampling and accidental sampling methods. The population of this study was QRIS users residing permanently or temporarily in Semarang City. Data processing was carried out using the SmartPLS 3.2.9 software. The results of this study showed that perceived ease of use did not influence actual usage, either directly or indirectly. However, perceived usefulness and perceived security have an indirect effect on actual usage. The influence of behavioral intention to use is full mediation on perceived usefulness and perceived security on actual usage.
Measles in Adult Subjects: About one case
Authors: M VIEIRA  , Y AOUNI  , M EL QATNI  , A REGGAD  , FK ENNIBI
Published: August 2024

Measles, also known as the “first disease”, is a common childhood illness that can occur in adults as well. Sometimes leading to extremely serious complications. Highly contagious, this infectious disease is caused by the measles virus, a morbillivirus belonging to the family Paramyxoviridae. Typical symptoms of measles include fever, a strong feeling of general malaise and rash on large areas of the body. During infection, a high fever appears twice. Complications such as otitis and pneumonia are relatively common. The incubation period, which is the time between infection and onset of disease, usually lasts eight to ten days. Getting measles immunizes for life and protects against any new infection with the measles virus. There is a preventive vaccination, recommended in the Vaccination Plan. It is a reportable disease.
Systematic implementation of compliance and governance as a security measure in today’s global business framework: A case study of QuickDine food delivery service
Authors: Ayebakuro Timipre Ngonamondi  , Oriyomi Abdulbariu Agbomoji  , Lenin Orene Kemmer
Published: August 2024

The QuickDine compliance and governance plan outlines the framework for ensuring legal, ethical, and secure operations within the organization. QuickDine faces critical challenges regarding customer privacy, intellectual property protection, and adherence to cyber laws as a food delivery service. This compliance and governance plan aimed at addressing these concerns systematically.
Inventory Of Seagrass Species On The Melonguane Timur Sub District Beach, Talaud Islands, North Sulawesi
Authors: Maabuat Pience Veralyn , Kolondam Beivy Jonathan
Published: August 2024

Talaud Islands Regency is one of the administrative regions of North Sulawesi Province which holds high potential regarding biodiversity, especially marine organism. One example is the presence of seagrass species that support biologically and ecologically on the coast, but information regarding the types of seagrass in Talaud has not been fully recorded and is still small. For the  Melonguane Timur District waters area was chosen as the initial step to collect data on seagrass types that exist as a biodiversity database in the Talaud Islands district and North Sulawesi Province. The research locations are North Tule and Bowongbaru Villages. The method used is the quadratic transect method and each seagrass in a 1m x 1 m quadratic plot was identified using a seagrass identification book. Based on the results of the study found four species of seagrass scattered on the station area, namely the family hydrocharitaceae and cymodoceae. Including the hydrocharitaceae family are Halophila ovalis and Halodule uninervis. The cymodoceae family is Cymodocea rotundata and Syringodium isoetifolium.