bluuebunny/crossref_metadata_2025 huggingface dataset:
Managerial Decisions that Explain the Growth in Colombian Agribusiness
Authors: Melgarejo Molina Zuray Andrea , Simon Elorz Katrin , Calderon Diaz Mayda Alejandra
Published: February 2025

Economic growth continues to be one of the most relevant and exciting subareas of economic and managerial decisions. Therefore, the relationship between economic growth and profitability is crucial. However, for business decisions, relevance focuses on the risk-return trade-off, which explains rationality in decision-making. Using a balanced panel data of 418 Agri-food Colombian firms from to 2008-2015 period, we add empirical evidence regarding the effect of the risk-return trade-off to explain the growth path. Firstly, the paper studies the influence of the growth measure for different business sizes. Secondly, the risk-return trade-off, based on the Sharpe ratio explains rational evidence in the growth decisions. The Sharpes ratio is an appropriate measure for ensuring the survival of companies and their long-term competitiveness. This finding also suggests that other contextual variables, such as age, size, or region, can explain the growth path. Finally, the study of growth by sub-period of the economic cycle is broken down to validate the profiles of these companies during periods of economic recession. As future lines of work, there is the study of the relationship between business efficiency or survival and the growth and profitability/risk parameters analyzed.
LOGÍSTICA URBANA Y POLÍTICAS PÚBLICAS MODELADA DESDE LA DINÁMICA DE SISTEMAS: UN ENFOQUE GENERAL USANDO ANÁLISIS BIBLIOMÉTRICO
Authors: Gómez Zuluaga Claudia Milena , Osorno Gloria Milena , Salcedo Mosquera Julián David , Urriago Fontal Juan Carlos
Published: February 2025

Esta investigación tiene como objetivo principal realizar una revisión sistemática de literatura (SLR) sobre la relación entre la logística urbana y políticas públicas, proporcionando una visión general integrada con dinámica de sistemas y el estado actual de la temática, apoyándose en el análisis bibliométrico de cinco (5) años (2015-2020) y evaluando enfoques metodológicos existentes y nuevas perspectivas basadas en la comparación sistemática de múltiples investigaciones de logística urbana y políticas públicas modelada desde la dinámica de sistemas. Los resultados muestran en un primer escenario que desde la co-ocurrencia de palabras se encuentra la logística urbana, vinculado a temas relacionados con logística de la ciudad, el transporte urbano, la optimización y la planificación, además muestra un vínculo de co-ocurrencia con las políticas de transporte, que se encuentran dentro de las políticas públicas. En el segundo escenario, desde la coautoría, la concentración está en dos autores así: Kijewska, Kinga (32 fuentes) y Macharis, Kathy (32 fuentes), quienes se enfocan su investigación en transporte, sostenibilidad y movilidad. Finalmente, se concluye que existen pocos documentos bibliográficos en este campo de investigación teniendo en cuenta que el tema se centra en un análisis con relación conjunta entre las temáticas descritas.
CRISIS DEL COVID-19 EN ARGENTINA: ANÁLISIS DE SUS IMPLICANCIAS HETEROGÉNEAS SOBRE EL EMPLEO
Authors: Fernandez Ana Laura , Monsalvo Ana Paula
Published: February 2025

El objetivo del presente artículo es analizar los cambios acontecidos en el mercado de trabajo argentino a partir de la crisis del COVID-19 y su persistencia o recuperación una vez reanudada la actividad económica. En particular, interesa identificar las heterogeneidades en la caída del empleo durante la crisis y en el ritmo del inicio de la recuperación posterior para dar cuenta de posibles efectos desigualadores. Para ello se realizó un análisis de estática comparada para el período 2019-2021, que se complementó con un análisis dinámico, lo que permitió identificar los tránsitos desde y hacia la ocupación, así como la permanencia en ese estado, a partir de datos de la Encuesta Permanente de Hogares. Los principales resultados muestran que para la mayoría de los grupos según sexo edad, nivel educativo y características ocupacionales, la situación un año después del estallido de la crisis es similar a la prevaleciente en el período anterior, mientras que se pudo observar un efecto desigualador entre los trabajadores más jóvenes.
ASPECTOS SOCIOECONÓMICOS Y ORGANIZACIONALES DE ASOCIACIONES DE PEQUEÑOS PRODUCTORES AGROPECUARIOS DE TÁMESIS Y CARAMANTA, COLOMBIA 2019-2022
Authors: Lopera García Luz Dolly , Mora Rendón Sol Bibiana , Gómez Valencia Jonathan Alexander , Aguirre Francisco Javier , Osorio Quintero Lisardo
Published: February 2025

El artículo describe características socioeconómicas y organizacionales de las asociaciones de pequeños productores agropecuarios en dos municipios del suroeste antioqueño, definidos dentro de la lógica de la economía solidaria. La propuesta es construir confianza, acuerdos en la diversidad y heterogeneidad de los participantes, unidad de criterios en la gestión y autogestión, acciones colectivas y diálogo de saberes en el manejo de las organizaciones para procurar la satisfacción de necesidades, aspiraciones y deseos a partir de prácticas comunitarias. La estrategia metodológica, desde una aproximación etnográfica, permitió describir, analizar e interpretar las prácticas solidarias de las asociaciones en los aspectos mencionados. Los hallazgos sugieren que las asociaciones reconocen la unión de voluntades en el manejo de las organizaciones para lograr objetivos en común. Esto implica que los frutos del trabajo y la gestión compartida, reconocidos por los participantes, deberían distribuirse equitativamente al interior de las mismas, como parte de un proceso continuo en el que se construye solidaridad y comunidad. Sin embargo, se requiere, entre otros aspectos, el fortalecimiento de la capacidad asociativa, recursos económicos, relacionamiento y poder de negociación con el Estado, así como autonomía frente a los sectores público y privado.
ESTILO DE LIDERAZGO ESTRATÉGICO COMO DETERMINANTE PARA LA PERDURABILIDAD EMPRESARIAL DEL SECTOR SERVICIOS
Authors: López Rodríguez Campo Elías , Góngora Mogollón Diego Fabián , Rodríguez López Johan Gilberto
Published: February 2025

El objetivo de esta investigación es identificar la relación entre los estilos de liderazgo estratégico como determinantes para la perdurabilidad en el mercado, partiendo de la percepción de los empleados de una organización del sector servicios en Colombia. Se desarrolló un estudio de alcance correlacional con un enfoque cuantitativo, dirigido a una población compuesta por 137 colaboradores, utilizando el estadístico Chi-cuadrado, las correspondencias simples y la normalización simétrica a través del software SPSSÂ® versión 26.0. Entre los resultados, se destaca que la formación académica y las áreas de gestión a las que pertenecen los colaboradores guardan relaciones importantes con el nivel de decisión de los líderes, su compromiso en la toma de decisiones y la confianza en los subalternos. Se concluye que la caracterización de los diferentes estilos de liderazgo contribuirá a la perdurabilidad empresarial a través de los procesos gerenciales dentro de las organizaciones.
PRÁCTICAS DE ACCESIBILIDAD EN EL DESARROLLO DE SOFTWARE: MAPEO SISTEMÁTICO DE LA LITERATURA
Authors: Fernández Castillo María Elena , Juan Carlos Pérez-Arriaga  , Jorge Octavio Ocharán Hernández  , María Karen Cortés Verdín
Published: February 2025

Incorporar la accesibilidad en el desarrollo de software conlleva beneficios significativos como la inclusión de personas con discapacidad. Reconocer la diversidad de usuarios con diferentes requisitos y necesidades dentro de la creación de software facilita su utilización por la mayor cantidad de usuarios sin importar sus condiciones individuales. El objetivo de esta investigación es obtener una base de conocimientos que permita identificar aquellas prácticas de las que se tenga evidencia de su uso en el desarrollo de software accesible. Se llevó a cabo un Mapeo Sistemático de la Literatura (MSL) enfocado en identificar prácticas que incorporan actividades de accesibilidad en el ciclo de vida del software, resultando en 29 estudios que se ajustaron a los criterios de selección. Los resultados muestran que la fase con más evidencia de incorporación de actividades de accesibilidad en el desarrollo de software es la fase de pruebas, donde se utilizan evaluadores para verificar la accesibilidad dentro de páginas web, seguido de la fase de construcción, donde se utilizan metodologías que incluyen la accesibilidad dentro del proceso de desarrollo de software, en la fase de diseño es común que se incorporen artefactos que guíen el desarrollo de accesible y, por último, en la fase de requisitos es usual emplear la descripción de requisitos para obtener y documentar requisitos de accesibilidad.
Safety and exploiting of crown pillars in Trepça stantërg mine
Authors: Gashi Jahir , Zenel Sejfijaj
Published: February 2025

Most ore bodies of the Trepça deposit, Stantërg are known for a characteristic of these ore bodies with a slope angle and the formation of crown pillars and safety plates in the process of mining at the stopes, especially when the mineral body is of large size. The exploitation of these mineral bodies in existing stopes reaches the existing final levels of exploitation and in those cases when production capacities are in the limited phase, then in order to increase the quality of the ore in production, it is necessary to design the crown pillars and the method of their exploitation using productive mining machinery with a special focus on safety at work. Safety during the use of these plates is established according to the criteria and practices applied which have found proper implementation.
The use of productive loading machines can significantly jeopardize this safety; therefore it is necessary to conduct an analysis that will determine the losses of ore in the working sites by implementing safety measures for the use of safety bearing plates. In order to leverage the maximum capacity of exploitation of this mass of mineral located in the bearing plate, the bottom-up ore body exploitation system has been applied. The mining of ore bodies in the lower levels such as the 10th and 11th levels has been carried out using modern machines with large productive capacities.
Audio Fingerprinting to Achieve Greater Accuracy and Maximum Speed with Multi-Model CNN-RNN-LSTM in Speaker Identification
Authors: Rajani Kumari Inapagolla  , K . Kalyan Babu
Published: February 2025

The process of matching speech data with database records is known as speaker identification. The major objective of this paper is to find the accuracy and speed in comparison of training set database from RAVDESS with the test signal using neural network methods of Convolutional Neural Network (CNN), Recurrent Neural Network (RNN) along Long Short-Term Memory (LSTM) with combination of audio fingerprinting technique. Speech is most fundamental form of human communication and language is the primary means of exchange among humans. An essential component of social interaction pitch and tone changes are grouped together while accounting for a wide range of issues. The audio fingerprint of voice was produced after the background noise was eliminated. Dataset of RAVDESS using multilayer perception, Audio fingerprinting and CNN, RNN with LSTM to contrast the results with speed and accuracy measures. The machine will ultimately display the gender determination in relation to words per second and accuracy in terms of no of epochs has been observed .and the results show that every classifier for the dataset performs faster and with higher accuracy.
Depression Sentiment Analysis using Machine Learning Techniques:A Review
Authors: Kumar Ashwani , Beniwal Sunita
Published: February 2025

Depression is one of the habitual psychological well-being diseases and a significant number of depressed individuals end their lives. People suffering from depression don’t ask for help from psychological doctors due to hesitation or unawareness about depression that causes a delay in diagnosis and treatment. A lot of people share their opinions and emotions on social networking sites. Several studies of social networking site posts related to depression rely upon Facebook, Twitter, Blogs, and other social networks because they help in recording behavioral attributes which are related to a person’s thinking, socialization, communication, etc. Datasets from various social networking sites are useful for depression sentiment analysis. Various machine learning and deep learning techniques like Naïve Bayes, maximum entropy, Support Vector Machine (SVM), and Decision Tree classifiers neural networks, deep neural networks, recurrent neural networks etc. have been used for depression detection. This paper presents a review on sentiment analysis performed on social media platforms for detection of depression The datasets utilized are also discussed. A comparative analysis of existing work in the area of depression detection is provided to get a clear understanding of the techniques used. Finally, challenges and future work which can be done in the field of depression detection is also discussed
Practical Research on Project-Based Learning (PBL) in Film and Television Production in Xiamen Vocational Education
Authors: Lyu Youyou  , Ang Chun Kit
Published: February 2025

The film and television industry plays a crucial role in the development of the global cultural sector. In recent years, vocational education in the field of film and television has experienced rapid growth in China. However, the current talent training model for this profession fails to meet the demands of the fast-paced industry development and lacks effective support for its advancement. Project-based learning is a student-centered teaching approach that employs authentic projects as the primary medium for learning. This study presents an empirical investigation conducted in a vocational college in Xiamen, where project-based learning was incorporated into the film and television production courses to assess its effectiveness. The findings of this research demonstrate that the implementation of project-based learning in the context of film and television production is viable. In comparison to traditional didactic instruction, project-based learning significantly enhances students' motivation to learn, practical skills, critical thinking abilities, and teamwork abilities. Consequently, it holds significant value in cultivating applied talents.
An Analysis on User Needs for the Design of Liaocheng Canal’s ICH Serious Game
Authors: Ran Xu  , Dolah Jasni
Published: February 2025

The Liaocheng section of the Grand Canal is rich in intangible cultural heritage (ICH), but many local young people do not know about them. The main reason for this problem is that the way of displaying and disseminating Canal ICH is too traditional, lacks a sense of the times and participatory, and cannot satisfy the needs and aesthetics of young people. With the development of digital technology, serious games bring new opportunities to spread and learn ICH. However, ICH serious games in the current Chinese market face the problems of lack of user engagement and low user satisfaction. It becomes especially important to analyze user needs before game design and development. The purpose of this study is to collect users' requirements for the design of Liaocheng Canal's ICH Serious Game in order to determine the design strategy of this game. The study adopted a quantitative approach, using online questionnaires to survey users' design preferences for the game in four aspects: learning, storytelling, gameplay, and user experience. The results of this study show the prioritization of users' needs for each layer and element of the game, providing targeted insights for future development, as well as clarifying core needs and providing new design ideas and references for other ICH serious game developers.
WEBGIS-BASED TOURISM POTENTIAL MAPPING USING QUANTUM GIS (QGIS)
Authors: Maymuna Natasya , Utomowati Rahning , Noviani Rita , Ismail Hairul Nizam bin
Published: February 2025

Currently, technology plays an important role in the digital information era. Digital mapping based on WebGIS is one form of Geographic Information System technological output that can impact the development of the tourism sector. The limitation of information sources on tourist attractions is one of the obstacles to tourism development in Indonesia. Therefore, the presence of WebGIS-based tourist attraction mapping can increase the availability of digital information that can impact increasing tourist visits. This research aims to analyze the potential of tourist attractions, perform WebGIS-based mapping of tourist attractions, and analyze the strategies for developing the potential of tourist attractions in Dukuh Village. This research is conducted using a qualitative descriptive method with a geographical spatial approach. The sampling techniques used are saturated sampling to determine tourist attraction samples, purposive sampling to select informants, and accidental sampling to determine tourist samples. The analysis techniques in this study include scoring analysis and Geographic Information System. The research results indicate that there are 16 tourist attractions, consisting of 8 very potential, 6 quite potential, and 2 less potential. Based on these results, WebGIS-based mapping of tourist attractions was performed and tested by 3 media experts. The testing results show that WebGIS media has a good level of effectiveness to be used as one of the media for information and promotion of tourist attractions in Dukuh Village. To support the development of tourist attractions, strategies for developing tourist attractions were formulated and categorized into growth, diversification, and conservative strategies.
USING THE MOORE'S THEORY TO EXPLAIN PRESERVICE TEACHERS’ DIFFICULTIES IN PROVING OF THE TRIANGLE SUM THEOREM
Authors: Hartono Sugi , Siswono Tatag Yuli Eko , Ekawati Rooselyna , Bonyah Ebenezer
Published: February 2025

This study aims to analyze the difficulties of preservice teachers’ in proving the triangle sum theorem. The method of this study is used a qualitative method with 58 of preservice mathematics teacher studying for a Bachelor of Education degree in Universitas Negeri Surabaya, Indonesia. The authors analysed the written responses to a 1 item worksheet and also conducted interviews with seven of the participants. The analysis of the data was guided by Moore’s theory which was used to identify difficulties of preservice teachers’ in proving of the triangle sum theorem. The results showed that still many of preservice teachers still difficulties in proving of the triangle sum theorem. There were 38% of preservice teachers who answered correctly and 62% of preservice teachers answered incorrectly in compiling proof. It was found that several preservice teachers had difficulties in compiling proofs, namely 30 preservice teachers had difficulty understanding the concept, 2 preservice teacher's did not understand the language and mathematical notation and 4 preservice teacher's had difficulty starting the proof. The novelty of this research is introducing a new theoretical analysis related to the difficulty in proving the fundamental theorem of geometry, namely Moore's theory. This study recommends that preservice teacher’s should be given solution through scaffolding to help preservice teacher's understand the concept of proof so that students can compiling proofs with correct.
HOW IS THE DYNAMIC THINKING PROCESS OF PROFICIENT’ STUDENTS IN SOLVING TRANSFORMATION GEOMETRY PROBLEMS?
Authors: Pamungkas Megita Dwi , Waluya Stevanus Budi , Mariani Scolastika , Isnarto Isnarto
Published: February 2025

Dynamic thinking is a crucial cognitive skill that enables students to solve complex problems in geometry effectively. This study investigates the characteristics of dynamic thinking among prospective mathematics teachers, focusing on the four key aspects: technique, conceptualization, monitoring, and perception. While previous research has identified these aspects, the specific problem-solving characteristics of dynamic thinking in mathematical contexts remain unexplored. This qualitative study was conducted at Tidar University, involving 54 prospective mathematics teachers identified as dynamic thinkers. Data were collected through a two-stage problem-solving test, structured observations, and in-depth interviews. The research instruments underwent a validation process to ensure reliability. Data analysis followed a systematic approach involving reduction, presentation, and verification to extract patterns of dynamic thinking among proficient problem solvers. The results indicate that students who exhibit proficient dynamic thinking demonstrate completeness and consistency in all four aspects. They effectively integrate multiple strategies, adapt their approaches in response to challenges, and maintain a reflective understanding of their problem-solving processes. Additionally, proficient dynamic thinkers show a higher degree of flexibility and spatial reasoning in geometry problems. This study contributes to the existing body of knowledge by identifying and describing the specific characteristics of dynamic thinking in mathematical problem-solving. The findings provide valuable insights for teacher education programs, emphasizing the need to cultivate dynamic thinking skills among prospective math educators. Future research can explore dynamic thinking across different mathematical domains and cognitive frameworks.
INTEGRATING SOCIOCULTURAL CONTEXTS IN SCIENCE EDUCATION: COMPARATIVE ANALYSIS AND STRATEGIC ADAPTATIONS
Authors: Moldalieva Salamat , Baruti Shukrije , Baruti-Sylejmani Miranda , Koichubaeva Nazira
Published: February 2025

The relevance of this study lies in its exploration of effective learning strategies across diverse sociocultural contexts, thereby underscoring the necessity to adapt educational practices in order to meet the requirements of culturally and socially varied student populations. The aim of this study was to investigate the impact of sociocultural factors on education in Kosovo and Kyrgyzstan, with a view to identifying effective adaptations of educational strategies within these unique cultural and historical settings. The applied research methods included a comparative analysis of the educational systems in Kosovo and Kyrgyzstan, and an interdisciplinary approach to examine the manner in which historical, cultural, and social factors are integrated into teaching methodologies. The results indicated that sociocultural contexts exert a significant influence on educational outcomes, thereby underscoring the necessity for tailored teaching strategies that take into account students' cultural backgrounds, social status, and ethical values. The study concluded that the successful adaptation of educational strategies requires comprehensive training for teachers, the incorporation of ethical considerations, and the development of culturally competent teaching materials. The present study offers profound insights into contemporary challenges, including technological integration and the need for diverse approaches. This study does a comparative examination of the sociocultural effects on education in Kosovo and Kyrgyzstan, providing insights into the influence of historical legacies and cultural variety on contemporary educational issues in both multicultural contexts. The findings provide recommendations for establishing inclusive educational environments, enhancing cultural competency among instructors, and utilising technology to meet the varied needs of students.
ENHANCING LEARNING EFFECTIVENESS THROUGH ADAPTIVE LEARNING PLATFORMS AND EMERGING COMPUTER TECHNOLOGIES IN EDUCATION
Authors: Isaeva Rapiia , Karasartova Nazgul , Dznunusnalieva Kalyibubu , Mirzoeva Kabira , Mokliuk Mykola
Published: February 2025

The integration of adaptive learning platforms and emerging computer technologies has transformed education by personalizing learning experiences and increasing accessibility. However, challenges such as uneven access, inadequate teacher training, and technical limitations hinder their full potential. This study examines the impact of major educational platforms (Coursera, Khan Academy, edX) and adaptive technologies on the learning process, aiming to assess their effectiveness in diverse educational contexts. A mixed-methods approach was employed, combining qualitative content analysis of educational platforms such as Coursera, Khan Academy, and edX with quantitative assessment of their features, engagement levels, and effectiveness. The study analyzed data from educational institutions in Kyrgyzstan, Ukraine, and Azerbaijan, focusing on the role of analytics, interactive elements, and gamification in enhancing learning outcomes. Findings indicate that adaptive platforms enhance accessibility and flexibility in learning while offering real-time analytics for personalized feedback. Virtual labs, such as those utilizing the Quanser QNET DC Motor Control Board, demonstrated the feasibility of remote practical training. However, successful implementation depends on comprehensive planning, infrastructure readiness, and continuous professional development for educators. The study contributes to understanding the role of adaptive learning in addressing educational disparities. It highlights the necessity of institutional support and teacher training for the effective use of these technologies. Novel insights include the potential of integrating AI-driven analytics to optimize personalized learning experiences. Future research should explore long-term impacts on student engagement and academic performance, particularly in under-resourced educational settings.
EVALUATION OF INNOVATIVE TEACHING METHODS USING MODERN INFORMATION TECHNOLOGIES
Authors: Spaska Anastasiya , Kozub Halyna , Abylasynova Gulaim , Kozub Vladyslav , Koval Yuliya
Published: February 2025

The aim of the study was to identify the effectiveness of innovative teaching methods using modern information technologies (IT) in four leading universities of Kyrgyzstan and Ukraine. The study was conducted on the basis of a SWOT analysis for each university. The selection of universities ensured comprehensive coverage of different types of educational institutions, from public to private. The data collected included a comparative analysis of the selected universities, as well as an assessment of the available digital platforms and technical support. The main results of the study were aimed at identifying the strengths, weaknesses, opportunities, and threats associated with the introduction of modern IT in the educational process. This allowed understanding which technologies and methods were most effective in improving the quality of education. A comparative analysis of universities helped identify general trends and specific challenges for each institution. In particular, Ukraine’s educational system is characterized by a developed network of higher education institutions, the implementation of the Bologna system, and the active use of IT in education. It is determined that the educational system in Kyrgyzstan is developing, in particular in terms of the introduction of modern technologies, both in public and private universities. The study formulates recommendations for improving the use of modern IT in teaching, in particular, for teacher training and attracting additional resources. The results of the study can be used for further development of the country’s educational system, with a focus on innovative approaches in selected universities in Kyrgyzstan and Ukraine.
ISOLATION OF LIMONOIDS FROM CLAUSENA EXCAVATA BURM.F AND THEIR ANTIBACTERIAL ACTIVITY AGAINST Enterococcus faecalis
Authors: Harizon Harizon , Romundza Febbry
Published: February 2025

This study aims to isolate and characterize limonoid compounds from Clausena excavata Burm.F and evaluate their antibacterial potential against Enterococcus faecalis, a pathogen associated with antibiotic resistance in healthcare settings. Plant samples were collected from natural habitats in Southeast Asia and identified by botanists for authenticity. The leaves, stems, and fruits were dried, ground into fine powder, and subjected to ethanol/methanol maceration, followed by liquid-liquid fractionation. Column chromatography and Thin Layer Chromatography (TLC) were used for initial compound separation, while High-Performance Liquid Chromatography (HPLC) was employed for further purification. Structural characterization was conducted using Nuclear Magnetic Resonance (NMR), Mass Spectrometry (MS), and Fourier Transform Infrared Spectroscopy (FTIR). The antibacterial activity of the isolated limonoids was tested against E. faecalis using the disk diffusion method, with Minimum Inhibitory Concentration (MIC) and Minimum Bactericidal Concentration (MBC) determined through broth microdilution assays. The results indicate that limonoid compounds from Clausena excavata exhibit moderate antibacterial activity, producing inhibition zones smaller than standard antibiotics but still demonstrating potential for bacterial growth suppression. This study highlights Clausena excavata as a promising natural source of antibacterial agents, contributing to alternative solutions against antibiotic-resistant bacteria. The findings support further exploration of limonoids as lead compounds for novel antimicrobial drugs, promoting the use of natural products in combating antibiotic resistance and advancing phytopharmaceutical applications in healthcare.
NURSING STUDENT'S PERCEPTION OF WORK-BASED LEARNING PROGRAMS: SYSTEMATIC REVIEW
Authors: Hindriati Titik , Asrial Asrial , Rusdi Muhammad , Herlambang Herlambang
Published: February 2025

Work-based learning (WBL) is a critical approach in nursing education that emphasizes experiential learning. However, qualitative studies frequently report challenges nursing students face in WBL settings. This study aims to systematically analyze qualitative evidence on nursing students’ experiences in work-based learning within healthcare organizations, highlighting key challenges and areas for improvement. A systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) 2020 guidelines. Literature searches were performed using Medline, Embase, CINAHL, and JSTOR databases. Quality appraisal was conducted using the JBI-QARI framework. The initial search yielded 311 studies, seven of which were deemed eligible based on inclusion criteria that focused on qualitative English-language studies involving nursing students. The review identified three major challenges in WBL: (1) time constraints limiting learning opportunities, (2) workplace environmental factors such as lack of mentorship and high-pressure conditions, and (3) unclear benefits perceived by students in WBL programs. These factors contribute to varying levels of engagement and satisfaction among nursing students. This study is the first systematic review to evaluate nursing students’ perceptions of WBL, offering a comprehensive analysis of recurring issues. The findings provide valuable insights for educational institutions and healthcare organizations to enhance WBL effectiveness through structured mentorship, improved scheduling, and targeted support strategies, ultimately bridging the gap between theoretical knowledge and practical experience in nursing education.
DIAGNOSING STUDENTS' MISCONCEPTIONS OF DIRECT CURRENT ELECTRICAL CIRCUITS USING A FIVE-TIER ISOMORPHIC INSTRUMENT
Authors: Triani Elza , Maison Maison , Nazarudin Nazarudin
Published: February 2025

This study aims to diagnose students' conceptions and identify their sources related to direct current electrical circuits using a five-tier isomorphic diagnostic instrument. A quantitative method with a research and development design was used involving 108 grade XII students from State Senior High School 1 Jambi City. Data was collected through an isomorphic test of 9 questions, interviews, and documentation. Validity and reliability analysis using SPSS showed that the instrument was reliable (Cronbach's Alpha = 0.911). The implementation of this research instrument showed that the average percentage of students' correct answers (at Tier 1-4) was only 19.9%, indicating a low understanding of the concept. Then, this study also identified students' misconceptions, which included eight main types of misconceptions with an average overall percentage (at Tier 1-4) of 13.6%, which was also categorized as low. Personal thinking was identified as the primary source of misconceptions, providing important insights for designing physics learning interventions. This study's novelty lies in applying a five-tier diagnostic instrument to identify misconceptions and their sources, finding that students' thinking was the primary source. The results of this study provide important implications for physics education, including targeted intervention strategies and increased conceptual clarity, which ultimately support the teaching and learning of basic physics concepts.
The use of influencer marketing services for unfair commercial practice in the EU and Latvia
Authors:   Riga Stradins University, Bormane Santa , Urbane Marta ,   Riga Stradins University
Published: February 2025

Recent years have seen a growing global demand for influencer marketing services despite those having both advantages and disadvantages. Specifically, through influencer marketing campaigns brands operating under fierce competition aim to instil in consumers a more positive attitude towards their product, promote buying decisions, and implement a dialogue approach in marketing communication and feedback generation so as to establish a much closer link with their consumers. However, there are also major disadvantages about influencer marketing, such as the yield of influencer marketing campaigns and the lack of regulatory framework in respect of liability for unfair commercial practice and breach of confidentiality.
The goal of the study is to develop recommendations for avoiding liability for unfair commercial practice in Latvia based on the theoretical aspects and the use of influencer marketing services in marketing campaigns in EU. The methods of research used are monographic, secondary data analysis, comparison, grouping, graphic, descriptive, as well as qualitative data analysis, case study, the analytical, inductive and deductive method. The results of the study show that, while the global demand for influencer marketing activities has been rapidly growing over the recent years, it also becomes increasingly important for businesses building long-term partnerships with influencers to thoroughly consider the influencers’ values, beliefs, life style and conduct on social media as well as to seek to include in the contract a confidentiality clause prohibiting disclosure of information on the marketing strategy, customer behavior etc. when providing services to other partners and avoiding conflicts of interest in providing services to competing businesses.
Motivation system at a telecommunications company in Latvia
Authors:   Latvia University of Life Sciences and Technologies, Kirila Kitija , Indrijaitis Aksels ,   Latvia University of Life Sciences and Technologies
Published: February 2025

Motivating employees in business is a matter of concern for any company. It is in the interest of each manager of a company to find the most successful incentive tools that would be effective for specific employees of a particular company. The study selected a telecommunications company to not only determine whether the incentive system in place in a given company has delivered the desired results, but also to allow for experience on current and significant motivational elements in such companies. The aim of the study is to describe the theoretical aspects of the incentive system and to carry out a research on the incentive system at the telecommunications company "X". It was found that the working environment at the company and the most important motivation factors (the working environment, working conditions, relationships with colleagues, company events etc.) exceeded the expectations of the employees. The motivation system functioned effectively, providing high financial remuneration and recognition, various bonuses and professional growth opportunities.
The impact of the covid-19 pandemic on agriculture and the food economy in the light of the literature
Authors:   Warsaw University of Life Sciences, Mikula Aneta
Published: February 2025

The COVID-19 pandemic has had many negative effects throughout the world. The pandemic has created
many threats to the development of the agricultural sector, which is of particular importance in ensuring the security of the food supply. The aim of this paper is to examine the consequences of the global COVID-19 pandemic on agriculture, agri-food system and rural areas in developed countries as identified in the literature. The impact of the pandemic is divided into economic and social effects. A literature review was used to identify the current state of knowledge on the topic. The study found that the consequences of the pandemic occurred in every element of the food chain. The onset of the pandemic was characterised by shortages of many agri-food products, especially for certain groups of people who were unable to use the new sales channels. Production in the agricultural sector proved to be fairly resilient to the impact of the pandemic. However, the income insecurity of farms has increased significantly, especially for farms that offer seasonal products, rely on migrant labour and sell to the HoReCa sector. Food consumer behaviour has changed, which may have long-term consequences for the food economy. The social impact of the pandemic relates primarily to the increased digital exclusion of rural areas and the social exclusion of the elderly. The uncertainty of farmers' income and the deepening of social exclusion seem to be the most severe consequences of the pandemic in agriculture, agri-food sector and in rural areas.
Bryophytes for the linear barrier as a PM2.5 mitigation technology in the urban landscape
Authors:   Centre for Nature and Engineering, RTU Liepaja Academy, Latvia, Kārkliņa Juta , Kārkliņš Edgars ,   Centre for Nature and Engineering, RTU Liepaja Academy, Latvia, Ābele Lilita ,   Centre for Nature and Engineering, RTU Liepaja Academy, Latvia, Strazdiņa Līga ,   Institute of Biology, University of Latvia, Latvia
Published: February 2025

Air pollution has been recognized by the World Health Organization as a global problem, resulting in 9-12 million deaths annually, and particulate matter is the most severe threat to human health. Particulate matter can be distinguished by its size, as PM2.5 has a diameter of 2.5 μm or less, meaning that these tiny dust particles are invisible to the naked eye. Various solutions are being sought for the problem of air pollution, which resonate with landscape architecture solutions, such as Green Infrastructure and linear (vertical) barriers. They are being researched as an effective nature-based solution to the growing air pollution problem that organically blends into the urban landscape. Evaluations of various plants for their pollution abatement potential highlight bryophytes as particularly effective due to their high absorption capacity, and to ensure the sustainability of the linear barrier, cultivation under controlled conditions is recommended. This paper investigates the cultivation of bryophytes under controlled conditions and identifies the most effective moss species during a practical experiment. This experiment and paper are part of a larger, more extensive study on air pollution reduction using bryophytes, and the research described in this paper is instrumental in future research. The assessed bryophyte species will be further investigated for their ability to absorb air pollution PM2.5. This paper uses research methods such as literature analysis and a laboratory experiment conducted between January and April 2024.
Inteligencia artificial y medio ambiente
Authors:   Universidad Complutense de Madrid, España, Gómez López Jacinto , Díaz Cuesta José , García-Ceca Celia
Published: February 2025

The rapid growth and development of artificial intelligence (AI) in the way people live, work and interact has brought a number of benefits. But at the same time, it also generates debate from an ethical, social or environmental perspective and in relation to its evolution, expansion and adoption. Artificial intelligence (AI) is a powerful tool that is revolutionising many sectors, including the environment. Through advanced algorithms and machine learning capabilities, AI offers innovative solutions to address environmental challenges, from natural resource management to climate change mitigation. We will explore how AI can improve the environment in some of the most high-profile areas: biodiversity monitoring and conservation, sustainable agriculture, waste management, renewable energy and environmental data analysis. In short, to seek and analyse solutions to overcome the challenges of the future that climate change may bring. Solutions that involve governments, non-governmental organisations, local communities, scientists and the private sector.
El papel de las emociones en las preferencias electorales según en el nivel educativo en Monterrey, México
Authors: Zarazúa Olvera Roberto , Alvarado Lagunas Elías
Published: February 2025

El estudio analiza cómo las emociones, mediadas por el nivel educativo, influyen en las preferencias de voto en las elecciones de alcalde en Monterrey, México, 2024. Mediante un enfoque metodológico que combina análisis de correspondencias, sentimientos y diagramas de Sankey, se explora la interacción entre las emociones evocadas por las campañas políticas y los diferentes grados de escolaridad de los votantes. Utilizando datos obtenidos de encuestas cara a cara aplicadas mediante un muestreo probabilístico aleatorio polietápico, se identifican patrones emocionales en las preferencias por los candidatos Mariana Rodríguez Cantú y Adrián Emilio de la Garza Santos. Los resultados muestran que los votantes con menor nivel educativo responden, predominantemente, a emociones asociadas con el carisma y la cercanía, mientras que aquellos con mayor nivel educativo valoran aspectos emocionales ligados a experiencia y confianza en la gestión. Este análisis ofrece nuevas perspectivas sobre cómo las emociones y la educación interactúan en la formación de preferencias electorales, y se destaca la importancia de comprender los factores emocionales para diseñar estrategias políticas más eficaces en contextos urbanos.
Human Fingerprint Study from Zaqlul An-Najjar's Perspective with the STIFIn Method: Study of the Meaning of Banan in the Qur'an
Authors: Aisyah Siti , Mahbub Muhammad Ihsan
Published: February 2025

The era of digitalization with access using fingerprints has very important aspects in various fields. This study aims to describe the relationship between human fingerprints and scientific interpretation from the perspective of Zaghlul an-Najjar and the STIFIn method. This study uses a descriptive qualitative method with a library research approach. The data collection techniques carried out are documentation techniques and literacy techniques. The data analysis used is content analysis. The steps used are to select, compare, combine, and sort various meanings until relevant data is found. The data validation technique used is source triangulation. The result of this study is the correlation of Zaghlul an-najjar's perspective which focuses on the interpretation of 'ilmi with the interpretation of patterns that seek to reveal the relationship between the kauniyah verses in the Qur'an and the field of science to show the truth of the miracles of the Quran. The perspective of Zaghlul an-najjar Fingerprints in Q.S Al-Qiyamah verse 4 is the relevance of miracles developed by modern science in the late 19th or early 20th century. Zaghlul interprets that fingerprints are human identities that will not be the same for each individual and are also under the verse of human creation. Meanwhile, the STIFIn method is an alternative approach to analyzing human intelligence based on fingerprints and brain dominance. STIFIn has five intelligence components: Sensing, Testing, Intuiting, Feeling, and Instinct. STIFIn is used to understand one's potential, the STIFIn method can help a person choose a more appropriate learning style, career, and self-development. In practice, the STIFIn method has implications according to the Islamic concept, namely Human Fitrah (QS. Ar-Rum: 30), the uniqueness of human beings (QS. Al-Hujurat: 13), and Psychology in Islam.
Love - Scene of the Two
Authors: Naderi Reza
Published: February 2025

This paper delves into Alain Badiou’s theory of love, positioning it as a complex and innovative truth procedure that challenges conventional philosophical boundaries. Badiou’s conceptualization of love contrasts sharply with Lacan’s theory of sexuation, particularly in how each addresses the non-relationship between the sexes. While Lacan’s framework is anchored in the phallic function, Badiou rejects this essentialism, instead offering a formalization that emphasizes the indeterminacy and disjunction inherent in love.
The paper explores the operations of excision and expansion, which Badiou identifies as crucial in the formation of the "Two"—a dynamic new mode of existence that arises from the encounter of love. Love, in this framework, is not merely an extension of sexual desire or a fusion of individuals but a transformative process that creates a shared world, a "scene of the Two," where difference is affirmed rather than erased. The analysis further highlights the contrast between Badiou's and Lacan's views, particularly in their treatment of sexual difference and the role of the "humanity function" in shaping relationships.
Through this exploration, the paper demonstrates how Badiou redefines love as an evental and truth-producing force, distinct from both traditional romantic ideals and psychoanalytic interpretations. It concludes by reflecting on the implications of Badiou’s theory for understanding the nature of love, truth, and the existential realities that emerge from the encounter of love.
Alain Badiou lector de Hegel
Authors: Souyris Oportot Lorena
Published: February 2025

Todo y vacío no significan lo mismo en Badiou que en Hegel. Sin embargo, quizás es posible trazar un trayecto de lectura, cuya inflexión apunte a la pertinencia que puedan existir en las orientaciones teórica-ontológicas de una doctrina del espacio donde el Todo, en cuanto concepto suturado, implica y comprende una escisión, una división. En este sentido, es importante preguntarse por los alcances del trasfondo ontológico de una doctrina del espacio como mecanismo de contención del Todo y de legitimación de un nuevo lugar. Así pues, este artículo que sigue tiene por objetivo interpretar los conceptos de Todo, Espacio, Vacío y Escisión de Alain Badiou particularmente explorando cómo, a través de estas nociones, Badiou es lector de Hegel.
Politique et immanence
Authors: Chataignier Gustavo
Published: February 2025

La pensée de Badiou détourne la notion de « sujet », défini comme un effet de l’« événement ». La relecture de l'ontologie comme mathème neutre et vide, capable de montrer son autre, c'est-à-dire le multiple, est développée dans l'ouvrage fondateur Être et événement. L'imbrication entre événement et sujet guide sa lecture de la philosophie en général et du marxisme en particulier. Son dialogue controversé avec le marxisme, à partir de De l'idéologie et de la recherche des « invariants communistes » dans les années 1970, et sa tentative de rendre justice à une politique d'émancipation indépendante de l'État et de la forme parti, le placent dans le champ marxiste. S'appuyant sur des travaux plus récents, comme L'Hypothèse communiste, Alain Badiou entend instituer une politique de rupture inscrite sur l'impossible du désir, donnant au marxisme une place au sein de la philosophie avec l’idée d’un sujet immanent.
Alain Badiou leitor de Espinosa
Authors: François Moreau Pierre , Baez Luiz , Chataignier Gustavo
Published: February 2025

Badiou leitor de Espinosa