bluuebunny/crossref_metadata_2025 huggingface dataset:
COMMUNITY EMPOWERMENT PROGRAM THROUGH STIMULATION OF THE GROWTH AND DEVELOPMENT OF PRE-SCHOOL CHILDREN
Authors: Wulandari Dewi , Ixora Ixora , Yulidaningsih Elok
Published: November 2024

Background. Children's social development begins to be rather complex when children reach the age of 3 years, because children have begun to enter the most basic educational realm, namely kindergarten. Children's social development is obtained from maturity and learning opportunities from various environmental responses to children. Early childhood education is one form of effort to stimulate pre-school social development. Children's development is influenced by various factors that influence each other, including: stimulation received by children since infancy, the maturity of children when receiving stimulation, the innate characteristics of children, the attitude of parents towards children or babies and interactions between parents and children. Community purpose was to increase knowledge, insight and skills regarding stimulating growth and development in parents and pre-school age children.
Implementation Method. The community service method is pre and post test, counseling on stimulation of growth and development of preschool children, training (training on how to stimulate growth and development of preschool children) for parents and teachers. The number of respondents targeted in this community service activity was 30 people at Dharma Wanita Kindergarten, Ngadisuko Village, Durenan District, Trenggalek Regency.
Findings. The results of community service based on observation and evaluation are an increase in the knowledge and skills of parents and kindergarten teachers regarding the stimulation of the growth and development of preschool children.
Conclusion. Community service provides benefits to parents of toddlers and kindergarten teachers. Parents and kindergarten teachers have the knowledge and skills to stimulate the growth and development of preschool children.
On the prospects for economic cooperation between the Kamchatka territory of the Russian Federation and the Republic of Belarus
Authors: Dyakov M.Y.
Published: November 2024

В работе проанализированы основные направления интенсификации экономического сотрудничества между Камчатским краем Российской Федерации и Республикой Беларусь. Выделены основные перспективные рынки с точки зрения расширения поставок как для белорусских, так и для камчатских производителей. В качестве наиболее привлекательных камчатских рынков названы рынки мяса и мясопродуктов, яиц, молока и молочной продукции, сахара, растительного масла, а также рынок автобусов. Со стороны Республики Беларусь признан перспективным рынок рыбы и рыбной продукции. Кратко проанализирована общая динамика оборота внешней торговли между Камчатским краем и Республикой Беларусь. Сделан вывод о наличии устойчивой положительной динамики в экономическом сотрудничестве, а также о необходимости продолжения целенаправленных усилий в этом направлении.
Northeast of Lithuania partisan region: organizational activity, connections, leaders
Authors: Vaičiūnas Gintaras
Published: November 2024

In 1947–1952, most of the partisan units of Aukštaitija were united by the Northeastern Lithuania Partisan Area (other names – King Mindaugas, Mountains, Eastern). The regional headquarters led the partisan struggle in Aukštaitija, maintained contacts with the Lithuanian partisan high command, and published periodicals. The Lithuanian partisans’ struggle for independence was manifested in organisational, social and military activities. Based mainly on archival documents, the article examines the organisational activities of the Northeastern Lithuanian Partisan Area, the changes in its subordination, structure and territory, sheds light on the most important events of its history, and shows the place of the area in the overall Lithuanian partisan organisation.
The Story of a Discovery: Two Documents of the Same Style
Authors: Bargmanas Chaimas
Published: November 2024

As is known, a group of prisoners of the ninth Kaunas fort – cremators – escaped from this prison, which was converted into the 1005-B organization at the end of 1943 (researchers have already found out that the code 1005-B indicates that we are dealing with the destruction of corpses). The day after the escape, a group of escapees, having infiltrated the Kaunas ghetto, wrote an act there about their stay in the fort and the revealed Nazi atrocities. The document was written in Russian – the ghetto underground planned to hand it over to the top leadership of the Russian army. The text of the act was not published in Soviet times: if we examine the document more closely, we will find a number of facts in it that contradict the concepts of the then government. In the autumn of 1983, the author of these lines managed to copy the text of the act from the copy kept by Izraelis Veselnitskis – one of the organizers of the escape.
A CONTRIBUIÇÃO DA HERMENÊUTICA GADAMERIANA PARA O ENSINO JURÍDICO BRASILEIRO: UMA PERSPECTIVA INTERPRETATIVA
Authors: Mesquita Gomes Anderson , Sousa Linhares Wendell , Albuquerque Lima Renata
Published: November 2024

O presente artigo visa demonstrar que o processo de aprendizagem do ensino jurídico brasileiro, baseado na memorização e replicação de conhecimentos, já não prepara adequadamente os acadêmicos de direito para a prática jurídica que busca atender as demandas da sociedade contemporânea. Diante disso, há uma necessidade urgente de reforma do ensino jurídico tradicional para promover uma interpretação crítica das normas e princípios legais. Nesse contexto, investiga-se se a hermenêutica de Hans-Georg Gadamer, com seu enfoque na compreensão e interpretação, pode contribuir para um processo mais crítico e reflexivo na interpretação das normas jurídicas. A metodologia utilizada é qualitativa, com uma revisão de literatura abrangente que analisa obras e artigos científicos relevantes sobre a hermenêutica de Gadamer e sua aplicação no ensino jurídico. A pesquisa segue um método dedutivo, utilizando premissas teóricas para chegar a conclusões fundamentadas. Os resultados indicam que a hermenêutica gadameriana contribui significativamente para reformar o ensino jurídico brasileiro, permitindo uma valorização da interpretação crítica, melhorando o processo de ensino-aprendizagem e possibilitando uma autonomia epistemológica, alinhando-se melhor às necessidades da sociedade contemporânea. Em suma, constatou-se que a hermenêutica de Gadamer pode ser uma grande aliada no processo de aprendizagem, indo além da mera memorização e promovendo uma interpretação jurídica crítica e dialógica.
O CASO STOAIN V. ROMÊNIA DA CORTE EUROPEIA DE DIREITOS HUMANOS: PENSANDO SOBRE O DIREITO FUNDAMENTAL À EDUCAÇÃO INCLUSIVA
Authors: Filchtiner Linke Riella Micaela
Published: November 2024

: Este artigo debruça-se sobre o direito fundamental à educação a partir da demanda nº 289/14 da Corte Europeia de Direitos Humanos, conhecido como Stoian v. Romênia, com o objetivo central de avaliar o caso sob a ótica da problemática da perspectiva inclusiva do direito à educação. Utilizou-se, primordialmente, de metodologia indutiva com uma análise crítica da decisão de julgamento proferida pela corte em 2019, seguida de breve revisão bibliográfica sobre a temática. Como resultado, observou-se que a garantia fundamental à educação de qualidade e não discriminatória é reconhecida pelas convenções de direitos humanos na Europa, no entanto, no caso estudado, entendeu-se pela inexistência de prova suficiente de violação às normas alegadas. Ademais, viu-se que, de maneira semelhante, no ordenamento jurídico brasileiro, o direito fundamental à educação é positivado na Constituição da República Federativa do Brasil como direito social, garantido o atendimento especializado às pessoas com deficiência, não obstante haja um longo caminho a ser percorrido a fim de se obter uma educação verdadeiramente inclusiva e não discriminatória. Independentemente do instrumento legítimo e idôneo utilizado, destacou-se que o ponto central é a tutela do direito das crianças, adolescentes e adultos com deficiência de, como pessoas inseridas na sociedade, garantia a condições de acesso e permanência adequadas na educação em todos os seus níveis.
Exploration on Environmental Causes of Coral Bleaching
Authors: Zheng Qinyu
Published: November 2024

In recent years, since global warming and human activities have contributed to massive coral bleaching events, it is significant to seek for the causations and predict the rate of coral bleaching to mitigate the influence and to decelerate bleachi,ng rate. The study focused on analyzing coral bleaching database from 1980 to 2020, revealing sea surface temperature anomaly (SSTA) and temperature cumulative thermal stress (TSA_DHW) are the major contributor of corals bleaching. In addition, climatic factors such as wind speed and cyclone frequency also conduce to coral bleaching. Resulted from principial component analysis (PCA), random forest regressor, dominant influencing factors are utilized in training multi-layer long short-term memory RNN (LSTM), support vector regression (SVR), and stacking regressor model, establishing models that predict coral bleaching percentage. Eventually, mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R2) are used to evaluate the accuracy of the model, revealing stacking regression model yielded the most accurate and steady predictions on coral bleaching percent comparing with other models.
Applications of Artificial Intelligence and Machine Learning in Cardiac Anesthesia Across the Continuum of Perioperative Care
Authors: Menon Sanjit , Patel Rushi , Musuku Sridhar
Published: November 2024

Introduction

Artificial intelligence (AI) and machine learning (ML) are becoming increasingly powerful tools in every aspect of healthcare. These technologies have significantly transformed diagnostic and clinical management of patients across the continuum of care in cardiac anesthesiology, a subfield emphasizing perioperative management. With the ability to analyze large datasets at unprecedented rates, AI-powered risk models have been shown to improve preoperative evaluations by predicting complications, including mortality and cardiac risk. Intraoperatively, ML algorithms have been effective in optimizing hemodynamic monitoring and improving image analysis for procedures like transesophageal echocardiography. In terms of postoperative care, AI models aid anesthesiologists in creating personalized pain management regimens, as well as in managing acute risks after surgery.

Methods

This study is a narrative review encompassing expert opinions, results from randomized controlled trials, and observational studies relating to the applications of AI and ML in cardiac anesthesia.

Results

68 pertinent studies were evaluated and synthesized to provide a contextualized approach to the role of AI and ML across the perioperative care continuum.

Conclusions

While challenges such as algorithm bias and clinician training currently remain, AI presents itself as a tool in cardiac anesthesia to create efficient, patient-centered solutions while maintaining the highest standards of safety and accountability. This review highlights the vast potential of artificial intelligence and machine learning across the perioperative continuum and calls on cardiac anesthesiologists to adapt to the evolving landscape of digital medicine.
Ethical Obligations of Business Leaders
Authors: Krishna Dr. I Mohan , Bandla Jyothika , Varshini Thota Nadi , Kumar N Harshith , Chandana K Siri
Published: November 2024

Business leaders wield significant influence over organizations and societies. This research delves into the multifaceted ethical responsibilities incumbent upon these leaders. It explores the moral compass guiding decision-making, emphasizing the balance between profit maximization and social responsibility. The study examines the impact of ethical leadership on organizational culture, employee morale, and stakeholder trust. By analyzing case studies and theoretical frameworks, it identifies key ethical challenges, such as corporate social responsibility, environmental sustainability, and ethical dilemmas in global business. Ultimately, this research aims to contribute to a deeper understanding of the ethical dimensions of leadership and to provide insights for fostering ethical business practices.
Bibliometric Assessment of Journal of Eco-Friendly Agriculture for the Period of 2015-2021
Authors: Partap Dr. Bhanu
Published: November 2024

This study aims to develop a bibliometric analysis of the publications of the Journal of Eco-Friendly Agriculture (JEFA) between 2015 and 2021. This work analyzes various bibliometric aspects such as gender wise productivity of publications, authorship pattern, average page length of publications, geographical distribution of publications, references pattern, most prolific authors, etc. The analysis shows that 268 articles were written by 833 authors and published in the Journal of Eco-Friendly Agriculture from 2015 to 2021. The study finds that on an average 38 research articles were published per volume during 2015-2021 in JEFA. The study also finds that out of total 833 authors, 652 were male authors and 181 were female authors. During the study, it was found that 23 articles (08.58%) were single authored, while 85 articles (31.72%) were written by two authors in collaboration. India is the leading country among all the eight countries from which the maximum number of contributions (757) was in the journal. Out of total 268 articles, 101 articles have 11-20 references, while on an average per article 14.02 references were cited. K.V. Malshe (13 articles) and Rabindra Prasad (12 articles) were the two most prolific authors who contributed significantly in the journal between the period from 2015-2021.
O ENSINO DE MATEMÁTICA NO CURSO DE LICENCIATURA CURTA EM CIÊNCIAS DE JEQUIÉ (1977-1988)
Authors: Santos Cleide Selma Pereira dos , Lando Janice Cassia
Published: November 2024

Este artigo apresenta resultados de uma pesquisa de Doutorado − em andamento −, cujo propósito é analisar a formação pedagógica para o ensino de matemática, ofertada na Licenciatura Curta em Ciências de Jequié, curso de nível superior destinado a formar professores para o ensino de matemática e outras disciplinas no ensino de 1.º grau. O objetivo proposto para este texto é apresentar observações e conjecturas sobre o ensino de matemática à luz da seguinte questão: como se caracterizou o ensino nas disciplinas Matemática I, Matemática II e Matemática III? O recorte temporal −1977 a 1988− foi escolhido por considerar o ano em que tiveram início as atividades desta formação e quando o vestibular passou a ofertar vagas para as habilitações (Química e Biologia), implantadas no curso, na década de 1980. Para responder ao questionamento indicado, foram analisadas fontes orais e documentos como: diários de classe, jornais, livros didáticos, dissertações e artigos relacionados ao tema. Na fundamentação teórico-metodológica, utilizou-se a abordagem de Chartier (2002), Viñao Frago (2007) e Chervel (1990). A produção das fontes orais foi realizada de acordo com a perspectiva de História oral híbrida, abordada por Meihy e Ribeiro (2011). A análise das fontes aponta a presença de ideias do Movimento da Matemática Moderna, o qual propôs mudanças para o ensino de matemática nos níveis primário e secundário, no contexto de influências externas na educação brasileira e de modernização tecnológica e científica do País.
Analisis Metode Clustering K-Means pada Zonasi Daerah Terdampak Banjir di Kota Medan dengan Evaluasi Silhouette Coefficient
Authors: Febby Arisca Zurfani  , Sawaluddin  , Mardiningsih  , Muhammad Romi Syahputra
Published: November 2024

Clustering is one of the fields of study that discusses data. Clustering is used to find and group data based on its traits or characteristics. Clustering can also be used for class-identified data. However, the clustering method automatically clusters the data before the class identifier is known. Based on the data obtained, the city of Medan, which has a population of approximately 2,460,858 people and an area of 26,510 hectares or 3.6% of the total area of North Sumatra Province, is classified as Flood-prone (BPS). Floods that occur almost 10 to 12 times a year in Medan City are influenced by the condition of the downstream Deli and Belawan rivers. Based on the results of the k-means clustering that has been carried out, the areas that are safe from flooding are the districts of Meddan Amplas, Medan Denai, Medan Area, Medan Kota, Medan Petisah, Medan Perjuangan, Medan Tembung, Medan Deli, and Medan Labuhan. Areas prone to flooding are Medan Tuntungan, Medan Sunggal, Medan Helvetia, West Medan, and Medan Marelan. Meanwhile, the areas most prone to flooding are Medan Johor, Medan Maimun, Medan Polonia, Medan Baru, Medan Selayang, Medan Timur, and Medan Belawan based on the evaluation of the accuracy of the silhouette method of 0.9 and can be declared significant.
Konsep Matematika dalam Kearifan Lokal Arsitektur Rumah Adat Batak Toba
Authors: Anggi Brigita Cesaria Saragih  , Elvi Mailani  , Erika Juliani Purba  , Fanny Tio Anderesta Siahaan  , Laurencia Stephanie Gregoria Purba  , Rika Silalahi  , Yosep Lamtama Tampubolon  , Nur Rarastika
Published: November 2024

This study aims to examine the application of mathematical concepts, such as proportion, and symmetry, in traditional Batak house architecture through an ethnomathematics approach. The method used is a literature study, where data is obtained from various written sources, such as books, scientific journals, and related articles. The analysis was carried out by content analysis, namely by identifying and categorizing the main themes that appear in the literature, then synthesized to understand how Batak local wisdom reflects the application of mathematical concepts in the design and construction of traditional houses, especially Bolon houses. The results of the study indicate that the Batak people traditionally apply mathematical principles in creating strong, aesthetic, and symbolic building structures, and are relevant to their cultural values. This study reveals that the concept of ethnomathematics plays an important role in understanding the relationship between mathematics and local culture.
Pengaruh Pembelajaran Geoboard Terhadap Hasil Belajar Siswa Pada Pembelajaran Matematika Kelas V SDN 101746 Klumpang Kebun Tahun Ajaran 2023/2024
Authors: Ade Mufidah  , Astria Ayu Ramadianti  , Emy Hariati
Published: November 2024

The problems in this study are the lack of students' ability to understand the lessons given, the results of the Mathematics learning exam that have not reached the KKM, and the teacher has not applied various innovative media. This study aims to determine the effect of learning outcomes of class V students of SDN 101746 Klumpang Kebun in learning Mathematics on flat shape material using Geoboard learning media, which consists of two classes. The researcher took class V A and class V B to be used as samples totaling 24 people as the experimental class and 22 people as the control class. The type of research used in this study is quantitative quasi-experimental (Quasi Experimental Design). The design in this study is Nonequivalent Control Group Design, this design the experimental group and the control group are not selected randomly. Data collection techniques with observation, testing and documentation. After the pretest ability is obtained, the next step is to conduct learning with Geoboard learning media for class V. So that the posttest ability is obtained in the experimental class students with an average learning outcome of 88 and the control class 74. It is clear that the increase in the experimental post-test score is on average higher than the control class. After the pre-test and post-test values ​​are known, a hypothesis test is carried out using the t-test. The basis for taking the independent t-test at the sig level (2-tailed) of 0.01 <0.05, which means that the hypothesis is accepted, namely that there is an influence of the use of Geoboard learning media on the learning outcomes of mathematics on flat building material for grade V students of SDN 101746 Klumpang Kebun.
Pengembangan Instrumen Asesmen Berbasis Literasi Numerasi Pada Materi Skala Perbandingan Pada Kelas V SD
Authors: Widia Widia  , Nyiayu Fahriza Fuadiah  , Nora Surmilasari
Published: November 2024

Numerical literacy is a vital skill in daily life and plays an important role in students' mathematical problem-solving abilities. This study aims to develop an assessment instrument that can measure the numeracy literacy of grade V elementary school students in understanding and applying the concept of comparative scale. This study uses a development method using a 4D development model for the stages of define, design, develop, disseminate The assessment instrument developed consists of various questions designed to test students' understanding of the comparative scale. The trial was carried out on a sample of grade V elementary school students to validate this assessment instrument. The results of the trial show that this assessment instrument has good validity and reliability in measuring students' numeracy literacy skills. This research is expected to contribute to improving mathematics learning in
Pengaruh Model Pembelajaran Problem Based Learning terhadap Kemampuan Berpikir Kritis Siswa pada Materi Ekosistem Siswa Kelas X SMA Negri 2 Gowa
Authors: Dzul Fahmi  , Hilmi Hambali  , Muh Wajdi
Published: November 2024

This research aims to determine the influence of the Problem Based Learning Model on Students' Critical Thinking Ability on Ecosystem Material for Class X Students of State High School 2 Gowa. This type of research uses a quasi-experimental type of research or also called quasi-experiment with a "random pretest posttest control group" design model. There are two data collection techniques in this research, namely, test and non-test, then the data collected is analyzed using descriptive analysis and inferential test analysis. The research results show that the average critical thinking ability students in the experimental class who were taught using the Problem Based Learning learning model were in the very good category with an average score of 78.52 and students' critical thinking abilities, while in the control class who were taught using the lecture method were adequate with an average score 52.55. Inferential analysis in hypothesis testing shows significant results with a sig value of 0.000 > 0.05 so that there is an influence of the Problem Based Learning learning model on students' critical thinking abilities in ecosystem material. This is also reinforced by the results of observations regarding student activity increasing.
Analisis Kemampuan Berpikir Kritis Siswa dalam Pembelajaran IPAS di Sekolah Dasar Kelas V SDN 2 Batur
Authors: I Putu Diatmika  , I Nyoman Sudirman
Published: November 2024

Research with the title Critical Thinking Ability of Class V Students in Social Science Learning at SD 2 BATUR. (Magdalena et al., 2021) This research aims to: Determine the critical thinking abilities of fifth grade students in learning science and science, identify factors that influence students' critical thinking abilities. and factors that influence the critical thinking abilities of class V students in science and science learning at SDN 2. This research will use a qualitative descriptive method. The subjects of this research are fifth grade students at SD 2 BATUR who are divided into three categories: High critical thinking ability, (Ilham & Hardiyanti, 2020) Medium critical thinking ability, Low critical thinking ability. Apart from these 3 categories, this research also uses Data collection techniques include observation, tests and interviews. The results of the research are 3 categories, including students with high critical thinking ability categories who can fulfill all critical thinking indicators. Students with moderate critical thinking ability categories are able to meet three indicators. Students with low critical thinking ability categories are only able to meet two indicators. This is also due to several factors that influence students' critical thinking ability, namely as follows: internal factors such as physical condition, anxiety, motivation, interaction and intellectual development and external factors related to outside individual in the form of a social environment.
Kajian Prosedur Penentuan Harga Kelarutan dan Tetapan Hasil Kali Kelarutan (Ksp) sebagai Bahan Materi Praktikum Kimia Dasar
Authors: Ade Trisnawati
Published: November 2024

This research aims to provide an overview of experimental procedures to determine the correct price and solubility product (Ksp) as materials in introductory chemistry practical work. This research was preceded by an experiment to assess solubility values ​​and products, and then a descriptive analysis was carried out regarding the results obtained. Based on the results of the study, it is known that the steps for determining Ksp are (1) Calculating the mass of substances that can dissolve in a specific volume of solvent, (2) Calculating the mass of substances that can dissolve in 1 liter of solvent (solubility in g/L), (3) Calculating moles substances that can dissolve in 1 liter of solvent (molar solubility in units of mol/L), (4) Calculate the concentration of each ion, and (5) Calculate the Ksp of the compound from the concentration of each ion raised to the power of the reaction coefficient.
Rancang Bangun Sistem Terdistribusi pada Toko Roti Valentine Tanjung Jabung Barat
Authors: Andrico Ricky , Hetty Rohayani  , Novia Tri Meli , Amandha Shandy
Published: November 2024

A bakery is a business operating in the food sector that sells various kinds of bread and cake products and sometimes they sell drinks, food and products related to the cake and bread industry. Data collection for all aspects of previous sales uses memory and by recording it in books or on paper. This journal was written using a distributed system method. Due to the ineffectiveness of existing data collection, to prevent errors in information collection, this system was created to be a solution to this problem. With the aim of increasing effectiveness, this system was created.
Penerapan Algoritma Base64 untuk Enkripsi dan Dekripsi File Gambar
Authors: Dominikus S Bani  , Andreas Ariyanto Rangga  , Dian Fransiska Ledi
Published: November 2024

Along with the development of the times, the use of information technology using computers as its media has increased rapidly. Indonesia is currently starting to adopt the concept of society 5.0 or what is known as Society 5.0, where this kind of activity focuses on community settings that are oriented towards IT-based human activities (Wijayanti et al., 2022). The application of the concept of "society 5.0" has brought many technological advances in various fields of life that are connected to the internet, especially in Indonesia. The base64 technique produces values ​​during text encoding that are difficult for laypeople to understand. This encryption program has the ability to convert plain text to cipher text and reverse cipher text after it is received. Several recommendations for the development of better applications in further research can be made based on the test findings of this study and the conclusions mentioned above. These include the following: The Vigenere Chipper application can only encrypt text messages
Sistem Pendukung Keputusan Pemilihan Siswa Terbaik Berbasis Web Menggunakan Metode Analytical Hierarchy Process
Authors: Anggrita Loda  , Andreas Ariyanto Rangga  , Diana Reby Sabawaly
Published: November 2024

Students who excel must receive guidance on the development of each student's individual potential in order to produce superior and quality students. To complete this task, student achievement is taken into account. The Analytical Hierarchy Process (AHP) approach is one method that can be utilized in decision support systems. can do weighting to determine selection criteria and alternatives, starting from the definition of the problem. The purpose of evaluation or weighting in a decision support system, such as that carried out using the Analytic Hierarchy Process (AHP) approach, is to assess and compare the value or characteristics of each alternative based on predetermined criteria. This process allows us to understand how important each criterion is in achieving the main goal, so that the decisions taken are more structured and objective. Based on the method used, the system provides valid and accurate findings. The final result of determining the priority weight of alternatives based on ranking
Penerapan Model Pembelajaran Jigsaw pada Pembelajaran Fisika Siswa Kelas VIII SMP Negeri 11 Lubuklinggau
Authors: Arga Dwi Muhayad  , Sulistiyono  , Ahmad Amin
Published: November 2024

This research aims to determine the average completeness of learning outcomes when using a learning model. The research method used in this research is an experimental research method. This type of research is Pre-Experimental research with an experimental design that will be used in the form of a One Group pre-test and post-test design. This research uses a quasi-experimental method and a quantitative descriptive approach. The population of this research was class VIII students at SMP Negeri 11 Lubuklinggau. 2024/2025 academic year. The sample for this research was students in class VIII.2 of SMP Negeri 11 Lubuklinggau. Data collection techniques were carried out using test techniques. The data analysis technique was carried out using the normality test and hypothesis test, t-test and homogeneity test. The results of this research, after applying the jigsaw learning model, can complete student learning outcomes in force and movement material for class VIII.2 students at SMP Negeri 11 Lubuklinggau, this is based on an average pretest score of 24.92 and a posttest score of 72.91. The collected test data was then analyzed using the t-test, obtaining tcount (1.62) < ttable 1.71 for a significance level of 5%. This means that ho is rejected and ha is accepted, in other words the hypothesis proposed in this research can be accepted as true, so It can be concluded that the implementation of the jigsaw learning model is on average complete in class VIII.2 students at SMP Negeri 11 Lubuklinggau.
Estado actual del mejoramiento genético en el cultivo del banano (Musa AAA, subgrupo Cavendish), y plátano (Musa AAB)
Authors: Torres S Jéssika P. , Sandoval F Jorge A. , Segura Rafael
Published: November 2024

Se presenta información técnica y científica sobre el mejoramiento genético clásico y biotecnológico, aplicado a bananos y plátanos (Musa AA, BB, AAA, AAB). El objetivo de este estudio fue realizar una investigación de revisión crítica de literatura sobre el estado actual del mejoramiento genético de las musáceas. Enfermedades como la Sigatoka negra, la Fusariosis del banano, el Virus Bunchy Top del Banano (BBTV), y aspectos abióticos, han generado un interés creciente de trabajo en los programas de mejoramiento a nivel mundial. La evidencia histórica confirma que el mejoramiento en Musa no ha sido fácil. El trabajo con tipos de banano Cavendish es aún más difícil, pero actualmente se considera que no es imposible. En la actualidad, existen resultados incipientes, promisorios y avanzados, esto con base en la aplicación de la mejora genética clásica y biotecnológica.
Efecto de la inclusión de la fertilización foliar dentro del manejo fitosanitario sobre parámetros del rendimiento de banano en Ecuador (2020 -2023)
Authors: Alexander Zurita Guido , Darío Zurita Andrés
Published: November 2024

Se analizaron dos ciclos de evaluación de dos formulaciones de fertilizantes foliares a base de CaO, MgO, Zn y B a diferentes dosis, frecuencias de aplicación, incorporados en el programa de aplicaciones con aceite parafínico. En el primer ciclo, el tratamiento T6 (SCa+1.0 L ha-1) mostró un efecto significativo en número de hojas, el contenido de clorofila en la hoja 4, el diámetro de los dedos, el peso del racimo y la ratio. Durante el segundo ciclo, al analizar la interacción en el análisis de varianza, tanto aritmético como multivariado, se identificaron como los tratamientos más efectivos en términos de variables de crecimiento y producción a T5: SC+1.0 L ha-1+7 aplicaciones y T6: SC+1.0 L ha-1+8 aplicaciones.
A systematic study of physical fitness assistance training for adolescents based on Kinect motion capture
Authors: Liao Xiaolong , Lei Xiaoshan , Sun Pu
Published: November 2024

Kinect motion capture technology records body motions, allowing for accurate monitoring and analysis in a variety of fields. This study investigates the intelligent recognition of classroom teaching behaviours by physical fitness instructors through the combination of Kinect sensors and machine learning algorithms. We proposed a novel Crayfish Optimization-driven Adaptive-Weighted AdaBoost (CO-AWAdaBoost) approach for classifying physical fitness instructional behaviours based on body posture data recorded by Kinect sensors. Z-score normalization is utilized to pre-process the obtained raw data. In our proposed recognition model, the CO algorithm leverages the natural behaviours of crayfish to optimize the process of feature selection. AdaBoost iteratively trains weak classifiers, assigning higher weights to misclassified samples. Our model can assist with the quantitative assessment of physical fitness classroom instruction, instructive suggestions, and large-scale behavioural investigation. The proposed detection model has been implemented in a Python program. In the results assessment phase; we evaluate our proposed model’s effectiveness in classifying physical fitness instructional behaviours using numerous evaluation metrics such as recall, F1-score, precision, and accuracy. During the finding evaluation phase, we thoroughly scrutinize the recognition effectiveness of the suggested model across various parameters, including precision (97.22%), accuracy (98.25%), specificity (97.85%), recall (97.86%), and F1-score (97.88%). We also carried out a comparison analysis with other traditional approaches. Our experimental findings demonstrate the reliability of the recommended framework.
Obtención y presentación de la prueba electrónica en el proceso laboral
Authors: Bellido Aspas Manuel
Published: November 2024

Las nuevas tecnologías han generado importantísimos cambios en las costumbres y hábitos humanos. Entre estos se encuentra la sustitución de los tradicionales soportes del pensamiento humano, fundamentalmente el papel, por los nuevos soportes electrónicos, mucho más complejos. Consecuentemente, cada vez más, la información que se aporta al proceso se contiene en estos nuevos soportes, que plantean problemas específicos, muchos de los cuales no están bien resueltos en una normativa que todavía no se ha adaptado convenientemente a la irrupción de las nuevas tecnologías. A estas cuestiones y, en particular, a los problemas jurídicos que plantea la obtención de la prueba electrónica y su presentación en el proceso laboral se dedica este trabajo.
Improving Effort Estimation Accuracy in Software Development Projects Using Multiple Imputation Techniques for Missing Data Handling
Authors: Hayat Shahida , Akbar Wajahat , Hussain Tariq , Haq Muhammad Inam Ul , Hussian Altaf , Khalil Irshad , Khan Muhammad Nawaz , Diana Samsonova
Published: November 2024

The challenge of accurately estimating effort for software development projects is critical for project managers (PM) and researchers. A common issue they encounter is missing data values in datasets, which complicates effort estimation (EE). While several models have been introduced to address this issue, none have proven entirely effective. The Analogy-Based Effort Estimation (ABEE) model is the most widely used approach, relying on historical data for estimation. However, the common practice of deleting cases or cells with missing observations results in a reduction of statistical power and negatively impacts the performance of ABEE, leading to inefficiencies and biases. This study employs the Multiple Imputation (MI) technique to address missing data by filling in incomplete cases. A comparison is conducted between the original and imputed ISBSG datasets for both small- and large-scale projects, using six other imputation techniques to identify the most effective method for ABEE. The results demonstrate that the MI technique enhances effort estimation, providing more accurate and efficient outcomes while preserving valuable information throughout the project estimation process.
Sistem Pakar Diagnosa Penyakit Autoimun Menggunakan Metode Dempster Shafer
Authors: M. Rizki Auliansyah Ginting  , Akim M.H. Pardede  , Melda Pita Uli Sitompul
Published: November 2024

Autoimmune diseases, which are disorders where the immune system attacks the body’s own tissues, can affect anyone, including children and adults. These diseases often lead to serious tissue damage and physiological disturbances. Al Fuadi Binjai General Hospital, the primary healthcare facility in Binjai City, faces challenges in diagnosing autoimmune diseases in a timely manner due to limitations in time, cost, and distance. Delays in treatment can exacerbate patient conditions and slow recovery processes. The objective of this study is to develop a system that processes symptom and autoimmune disease data using the Dempster-Shafer method, which allows for uncertainty assessment in decision-making. Patient symptom data collected and analyzed using this method aims to determine the likelihood of autoimmune diseases. The developed system demonstrated high diagnostic accuracy, with the most accurate results for lupus with a confidence level of 94.40%. This result indicates that the Dempster-Shafer method can be an effective tool in accelerating the diagnostic process and improving the accuracy of autoimmune disease management at Al Fuadi Binjai General Hospital
“Klasifikasi Citra Penyakit Gigi Menggunakan Metode K-Nearest Neighbor”.
Authors: Sri Dewi Novita  , Achmad Fauzi  , Victor Maruli Pakpahan
Published: November 2024

Handling of dental disease problems requires that it be handled quickly and correctly, but not all teams of dental experts can carry out treatment quickly due to the lack of a team of dental experts who are in the workplace or hospital 24 hours a day.  Apart from that, the public also has very little knowledge of information about dental disease, so that to treat dental disease, people have to consult a dentist. To classify images of dental disease, feature extraction is needed. Feature extraction is taking characteristics of an object that can describe the image. One example of image feature extraction used is Red, Green, Blue (RGB). This feature extraction is often used to identify or classify an image. Dental image data that will be used in the classification process are tooth abrasion, anterior crosbite, cavities and gingivitis. K-Nears Neigbor is the simplest data mining algorithm.  The aim of this algorithm is to find the results of the closest distance classification for each object.  In determining the distance, the data is initially divided into two parts, namely training data and testing data. After receiving the training data and testing data, the distance from each testing data (Equilidence Distance) to the training data is calculated. The K-Nearest Neighbors method can be applied to classify dental disease based on images of types of dental disease using Matlab software. As a result of the image data training process, 40 image data were input, training results obtained were 100%.
Leveraging Machine Learning Models for Real-Time Fraud Detection in Financial Transactions
Authors: Nathaniel Andrew Davis  , Sophia Anne Harris
Published: November 2024

This study investigates the effectiveness of machine learning models in identifying fraudulent financial transactions in real-time. Using a large dataset of transactions, we compare the accuracy, precision, and speed of various models, including logistic regression, random forests, and neural networks. Our findings suggest that ensemble methods yield higher detection rates while minimizing false positives, thus providing a promising approach to financial fraud prevention.
Evaluating the Efficacy of Quantum Algorithms in Cryptographic Security
Authors: Novia Fitri  , Lana Putra
Published: November 2024

With quantum computing’s rise, traditional cryptographic methods face new security challenges. This paper evaluates the effectiveness of various quantum algorithms, such as Shor’s and Grover’s algorithms, on current encryption standards. Our findings highlight the vulnerabilities in conventional cryptography and suggest new standards and protocols to maintain data security in a quantum-driven era.
Sentiment Analysis Of Social Media Data Using Deep Learning Techniques
Authors: Salsabila Septiani  , Nabila Putri  , Dara Jessica  , Arya Saputra
Published: November 2024

Social media platforms contain vast amounts of data that can reveal public sentiment on various topics. This research explores the application of deep learning techniques, particularly convolutional neural networks (CNN) and recurrent neural networks (RNN), to analyze sentiment within social media text. The results indicate that these models achieve high accuracy in sentiment classification, making them valuable tools for companies seeking to understand public opinion.
Automated Detection Of Network Intrusions Using Machine Learning in Real-Time Systems
Authors: Aulia Novi  , Ryan Satria
Published: November 2024

Network intrusion detection is crucial for maintaining the integrity of real-time systems. This paper evaluates various machine learning algorithms, including support vector machines (SVM) and decision trees, for real-time intrusion detection. Through extensive testing on simulated datasets, the study highlights the advantages of automated detection in reducing response times and enhancing network security.
Securing Industrial IoT: Blockchain-Integrated Solutions for Enhanced Privacy, Authentication, and Efficiency
Authors: Derrick Lim Kin Yeap  , Jason Jong Sheng Tat  , Jason Ng Yong Xing  , Joan Sia Yuk Ting  , Mildred Lim Pei Chin  , Muhammad Faisa
Published: November 2024

The Industrial Internet of Things (IIoT) enhances the connectivity and efficiency of living lifestyles. However, it also comes with significant security vulnerabilities. Traditional authentication methods are often inadequate, leading to IIoT devices opened to security threats. This paper proposes a comprehensive security framework integrating blockchain, cryptographic techniques, smart contracts, and deep learning-based Intrusion Detection Systems (IDS) to tackle the mentioned issue. Blockchain ensures data integrity and prevents tampering through a decentralized ledger. A decentralized device identity management system enhances user verification, while secure communication protocols using Hash-based Message Authentication Codes (HMAC) safeguard data integrity. Smart contracts automate transactions, providing transparent, secure record-keeping without a central authority. The deep learning-based IDS, utilizing Contractive Sparse Autoencoder (CSAE) and Attention-Based Bidirectional Long Short-Term Memory (ABiLSTM) networks, effectively detects cyber threats. Evaluation metrics, including precision, recall, F1-score, and False Acceptance Rate (FAR), demonstrate high accuracy and low false alarm rates across datasets. This framework addresses the need for secure, efficient, and scalable authentication in IIoT, combining blockchain's security features with advanced cryptographic and anomaly detection techniques, offering robust defence against cyber threats.
Enhancing Authentication Security: Analyzing Time-Based One-Time Password Systems
Authors: Asyura Binti Sofian  , Ayu Fitri Alafiah Binti Peradus  , Fidel Yong  , Irvine Shearer  , Nurrul Nazwa Binti Ismail  , Yugendran A/L Mahendran  , Muhammad Faisal
Published: November 2024

This paper explores the Time-Based One-Time Password (TOTP) authentication mechanism enhanced with lightweight cryptographic algorithms, presenting it as an advanced solution to the limitations of traditional OTP systems. There are a lot of applications and systems where this mechanism is applied. For example, bank applications, e-commerce websites, access control system, healthcare system, etc. TOTP generates dynamic, time-sensitive passwords using the current time and a secret key processed through a cryptographic hash function, significantly improving security by reducing vulnerabilities to code reused and interception. The adoption of lightweight algorithms ensures that TOTP can be efficiently implemented on resource-constrained devices, such as those on the Internet of Things (IoT) ecosystem. Despite its benefits, TOTP faces challenges including synchronization issues between client devices and servers, and a trade-off between computational efficiency and security strength. This paper discusses the implications of these challenges and evaluates how TOTP, with appropriate design considerations, can provide a robust, secure, and efficient authentication method suitable for various applications, from digital banking to IoT environments.
Mathematical Modeling of Wireless Sensor Networks for Optimized Energy Consumption
Authors: Maria Teresa Garcia  , Jose Antonio Reyes  , Ana Patricia Cruz  , Carlos Manuel Ramos
Published: November 2024

Energy efficiency is a critical concern in wireless sensor networks (WSNs) due to the limited power resources available in sensor nodes. Prolonging network lifespan while ensuring reliable data transmission is essential for successful deployment in various applications, such as environmental monitoring, military operations, and industrial automation. This paper presents a mathematical model designed to optimize energy consumption across various nodes in WSNs. By implementing simulations and analyzing data from these models, the study demonstrates significant improvements in extending network lifespan while maintaining reliable data throughput. The findings contribute valuable insights into energy management for large-scale sensor deployments.
Analyzing the Efficiency of Battery Storage Systems in Renewable Energy Grids
Authors: Fatima Khalid Al-Rashid  , Omar Youssef Al-Hassan  , Layla Mahmoud Al-Zain
Published: November 2024

Battery storage systems are essential for stabilizing renewable energy grids, especially for sources like solar and wind power that are inherently variable. This study evaluates various battery technologies and their effectiveness in storing and redistributing energy within renewable energy grids. Through simulations and analysis of performance metrics, the study offers insights into optimal operating conditions for different battery types, highlighting their role in enabling sustainable and stable energy distribution.
Mathematical Models for Predicting Electric Vehicle (EV) Charging Demand in Urban Areas
Authors: Tiara Shella  , Tiarashella@arteii.or.id
Published: November 2024

As electric vehicles (EVs) gain popularity, understanding the demand for EV charging infrastructure becomes essential for effective urban planning. This paper develops mathematical models to predict EV charging demand based on various factors, including population density, traffic patterns, and energy consumption data. The models provide valuable insights for city planners regarding the optimal placement and capacity of EV charging stations to meet future demand, facilitating the transition to a more sustainable urban environment.