bluuebunny/crossref_metadata_2025 huggingface dataset:
La Problemática del Delito de Estafa en Ecuador: Evolución Jurídica, Impacto Tecnológico, Tutela y Protección del Patrimonio
Authors: Vergara Zambrano Josselyn Lisseth , Zurita Vergara Laura Carolina
Published: February 2025

La estafa en Ecuador es un delito que ha evolucionado significativamente, adaptándose a las transformaciones sociales y tecnológicas. Tipificado en el artículo 186 del Código Orgánico Integral Penal, este delito afecta el patrimonio de las víctimas mediante engaños y actos de mala fe. Si bien las normativas buscan proteger este bien jurídico, las modalidades emergentes, como las estafas electrónicas y financieras, plantean desafíos adicionales para el sistema judicial y las estrategias de prevención. Se analizan diversos elementos típicos del delito: Engaño, inducción al error, el acto de disposición patrimonial, ánimo de lucro y el dolo. Este estudio aborda la problemática desde un enfoque jurídico y comparativo, analizando la evolución de la estafa en Ecuador y contrastándola con las legislaciones de países como Estados Unidos, España y el Reino Unido. La colaboración internacional y la adopción de buenas prácticas globales son esenciales Es fundamental fortalecer las estrategias de protección patrimonial mediante un enfoque preventivo que combine medidas educativas dirigidas a la ciudadanía con mecanismos más eficaces de persecución penal y sanción. La colaboración internacional y la adopción de buenas prácticas globales son esenciales para abordar la dimensión transnacional de muchas estafas, así como para garantizar una respuesta integral que proteja el patrimonio de las personas y la confianza en las instituciones. El desafío radica no solo en adecuar las normas jurídicas a las nuevas realidades, sino en implementar políticas públicas, recursos tecnológicos y alianzas interinstitucionales que permitan enfrentar de manera efectiva este delito y minimizar su impacto en la sociedad ecuatoriana.
Impacto de Técnicas de Relajación Sensoriomotoras en la Autorregulación Emocional durante la Primera Infancia
Authors: Torres Peña Cindy Melissa , Altamirano Cortez Sorayda Petita , Taco Taco Magali Natali , Silva Delgado Mariana de Jesús
Published: February 2025

El objetivo de esta investigación fue evaluar el impacto de diversas técnicas de relajación sensoriomotoras en la autorregulación emocional de niños en edad preescolar. Se empleó un enfoque metodológico mixto con un diseño cuasiexperimental, donde participaron 31 niños (17 niños y 14 niñas) del Centro de Desarrollo Infantil de la parroquia Tenguel, provincia de Guayas. La recolección de datos se realizó mediante observación estructurada y entrevistas semiestructuradas, analizó los resultados con técnicas de estadística inferencial, como la prueba t-student para muestras independientes y la correlación de Pearson. Los hallazgos demostraron mejoras significativas en la autorregulación emocional del grupo experimental en comparación con el grupo de control, resaltao la fectividad de las técnicas de relajación sensoriomotoras en el desarrollo socioemocional infantil. Se identificó además una correlación positiva entre el entorno afectivo y el desarrollo socioemocional, se sugiere la importancia de contextos favorables para potenciar los efectos de estas intervenciones.
Pseudocereals in a gluten-free diet
Authors: Gojković Cvjetković Vesna , Marjanović-Balaban Željka , Srdić Gojković Biljana , Rajić Danijela , Vukic Milan , Smiljanić Milenko
Published: February 2025

Gluten-containing food products cause allergic reactions and intolerance in sensitive individuals, i.e., celiac disease or gluten enteropathy. Celiac disease is a disease of the immune system in which gluten is recognized as a harmful agent. The only therapy for people sensitive to gluten is a gluten-free diet. Due to their gluten-free status and suitability for a gluten-free diet, pseudocereals have played a significant role. Their grains enhance nutritional quality and are nutrient-dense. Iron, magnesium, fiber, protein, and other nutrients are abundant in them. Buckwheat, amaranth, millet, and quinoa are the most significant pseudocereals. Due to their high nutritional content and lack of gluten, pseudocereals have become a staple of
the gluten-free diet for those with gluten-related illnesses in recent years.
Analysis of Power Relations on Timber Value Chain in Liwale and Ruangwa Districts, Tanzania
Authors: Magiri Mary C. , Abdallah Jumanne M. , Lusambo Leopold P.
Published: February 2025

The study intended to investigate power relations among dominant institutions guiding timber value chain in Liwale and Ruangwa districts, Lindi. It adopted across sectional research design whereby qualitative methods of data collection were used. The main objective of this study was to analyze power relations that underlie timber value chain and identify actors on the value chain. Specifically, the study determined the existing power relations on the timber value chain in Liwale and Ruangwa districts. Data were collected through key informant interviews, focus group discussions, and observations to answer the research questions and then analyzed using a DEDOOSE platform. The results indicated that, there were several actors in the timber value chain, including timber dealers, customers, village communities, Village Natural Resource Committees (VNRCs), district governments, forest officers, NGOs, and government agencies. Also, there are three levels of value addition which are community, district and national levels. These were associated with the customer demand from within the specific community, district and national wise. Apart from that the dominant institutions guiding timber value chain were the Tanzania National Forest Policy and the Forest Act which provide a timber value chain framework. Also, institutional, supportive and strategic power relations were the type of power relations that were identified to be underlying timber value chain. Furthermore, power struggles were observed to be existing among the Tanzania Forest Service (TFS) agents and the Forest Officers mainly on the issue of the revenue collected. The study recommends that, all actors in the timber value chain should play their roles in a way that they do not compromise the ability of other actors attain their goals. Also, to solve the issue of power struggles between the TFS and the local government Forest Officers then amendment of rules and regulations should be done.
English for Specific Purposes in Costa Rica: A Compilation of Experiences from the First Graduating Class of the Program Maestría Profesional en Lingüística Aplicada con Énfasis en inglés para Fines Específicos
Authors: Chinchilla Jiménez María Daniela , Ugalde Naranjo Gloriela
Published: February 2025

This qualitative study, with a descriptive scope, adopted a prospective cross-sectional approach. Its primary objective was to compile the experiences of two former students from the first graduating cohort of the Program Maestría Profesional en Lingüística Aplicada con Énfasis en Inglés para Fines Específicos, based on their teaching practicum. As part of the study, two specialized courses were designed—one focused on English for Occupational Purposes and the other on English for Academic Purposes. A key finding of this research was the central role of the Needs Analysis as the cornerstone of English for Specific Purposes (ESP) courses, which should be conducted before and during lesson development to plan, implement, address, and improve classes while addressing potential challenges that may arise in the classroom. Moreover, ongoing communication between instructors and students is crucial to ensure the effective delivery of lessons and to support student learning outcomes.
The Effects of Portfolio Assessment on Writing of EFL Students
Authors: Tomalá Guzmán Ingrid Paola , Almeida Garcia Evelyn Veronica
Published: February 2025

La investigación direcciona los efectos de la evaluación mediante portafolios en la expresión escrita de estudiantes que aprenden inglés como lengua extranjera (EFL). Reconociendo la necesidad crítica de habilidades lingüísticas efectivas en contextos académicos y profesionales, el estudio destaca los métodos de enseñanza tradicionales que a menudo descuidan el desarrollo metacognitivo y la expresión creativa en la escritura. Se propone el uso de portafolios como un recurso educativo transformador, que permite a los estudiantes participar en prácticas reflexivas y autoevaluación mientras mejoran sus habilidades de escritura a través de actividades de escritura creativa. Emplea un enfoque cualitativo, recopilando datos a través de observaciones y entrevistas semiestructuradas con estudiantes y docentes en la Unidad Educativa Santa Teresita. Los hallazgos sugieren que la evaluación mediante portafolios fomenta una mayor autonomía y conciencia metacognitiva entre los estudiantes, permitiéndoles seguir su progreso y mejorar sus habilidades de escritura. Un impresionante 85% de los participantes reportó un aumento en la autonomía en la escritura, mientras que el 78% de los docentes notó una mejor comprensión de las necesidades de los estudiantes. En última instancia, la investigación contribuye a la teoría educativa al demostrar cómo las evaluaciones mediante portafolios pueden reemplazar los métodos de evaluación tradicionales, enfatizando la retroalimentación continua y la instrucción individualizada. Este enfoque innovador no solo enriquece las experiencias de aprendizaje de los estudiantes, sino que también anima a los docentes a adaptar sus estrategias pedagógicas para apoyar mejor el crecimiento del estudiante en la escritura en EFL. El estudio subraya la importancia de integrar estrategias metacognitivas en la educación lingüística, allanando el camino para prácticas docentes más efectivas.
Enterprise Terraform: Optimizing Infrastructure Management with Enterprise Terraform: Enhancing Scalability, Security, and Collaboration
Authors: Kolla Sudheer
Published: February 2025

Enterprise Terraform by HashiCorp is an advanced Infrastructure as Code (IaC) solution designed to manage and automate complex infrastructure environments. Building on the open-source Terraform tool, it offers enhanced features tailored for enterprise-level operations, including multi-cloud and on-premises infrastructures. Key capabilities include role-based access control (RBAC), workspaces, and policy as code through Sentinel, which collectively support secure team collaboration, governance, and compliance across infrastructure workflows. These features enable organizations to manage and provision infrastructure consistently, whether it spans on-premises systems or multiple cloud providers. Terraform Enterprise emphasizes scalability, ensuring that teams can manage large-scale infrastructure efficiently while maintaining control over resource provisioning. With tight version control system (VCS) integration, Terraform Enterprise facilitates automated deployments and consistent environment management. Remote state management and secure operations further ensure the reliability of deployments, reducing the risk of errors during infrastructure changes. By offering policy as code, team collaboration, and secure operations, Terraform Enterprise empowers organizations to streamline infrastructure provisioning, ensuring agility, consistency, and control. This research article delves into the key features of Enterprise Terraform, evaluates its implementation, and compares it with alternative IaC solutions to highlight its strengths and potential areas of improvement for enterprise use.
Examining the Correlates and Components of English Test Anxiety in EFL Students: A Quantitative Study
Authors:   Research Center for Language Teaching and Learning, School of Languages and General Education, Walailak University, Waluyo Budi
Published: February 2025

Despite the vast research on test anxiety and test performance since the 1950s, studies on how students' English test anxiety affects their English proficiency test performance in the context of second- and foreign language learning remain few. Therefore, using a quantitative research design, this study explored students’ English test anxiety and proficiency test results of students at an autonomous university in Thailand. The study was focused on examining the distinctive constructs and levels of English test anxiety, along with the variations by gender and proficiency level. It also examined the correlation and predictive power of EFL students’ English test anxiety towards their English proficiency test performance both in general and specific skills. The results showed that university students in Thailand had a high level of English test anxiety, which had a detrimental impact on their English proficiency test results. Worry, tension, emotionality, and bodily/physical symptoms were four distinct constructs that characterized their anxiety over the English exam. Worry was the strongest construct in lowering students' overall and individual English test performance. Female and low-proficiency students, in particular, had to deal with high levels of test anxiety, and they were especially apprehensive before English tests. These findings should encourage English educators and policymakers to develop strategies for generating welcoming situations and environments for students prior to their English tests, as well as to implement an appropriate treatment plan incorporating cognitive and behavioral therapies. It is advised that teaching and testing materials not only concentrate on conveying cognitive knowledge and strategies for answering test questions, but also include tools that may be used to manage real-world exam anxiety.
The Relationship between EFL Teachers' Professional Development and their Self-efficacy in Online Education during the Pandemic
Authors:   Lorestan University, Adavi Masoomeh , Amiri Mansooreh , Nourizadeh Nargess ,   Lorestan University,   Lorestan University
Published: February 2025

This quantitative study aims to examine the relationship between EFL teachers’ professional development (PD) and their self-efficacy in online education during the COVID-19 pandemic. The participants of this study were 80 English as a foreign language (EFL) teachers selected via convenience sampling who were teaching online in different schools in some cities of Iran. In order to gather the data needed for the study and to measure the variables of the study, two different types of closed or Likert questionnaires were administered. One was a questionnaire to measure various aspects of PD, and the other was a long form of teachers' sense of efficacy scale (TSES) to examine teacher self-efficacy. To answer the research questions, Pearson correlation coefficient linear and multiple regression were run. The results revealed that there was a positive significant relationship between teachers' self-efficacy, knowledge, skills, and the teacher professional development (TPD) program. The results also showed that among the components of the TPD, knowledge and skills were significant positive predictors of self-efficacy and the TPD programs cannot significantly predict teacher’s self-efficacy (p>.01). Therefore, teacher professional development can predict teachers' self-efficacy. Finally, some findings and implications are presented.
Factors Influencing EFL Students' Motivation in Online Learning in Public Colleges of Nepal
Authors:   Tribhuvan University, Prithvi Narayan Campus, Paudel Pitambar
Published: February 2025

Motivation plays a pivotal role in students' academic success and overall performance in the learning process. However,
the abrupt shift from face-to-face instruction to online learning, due to the Covid-19 pandemic, affected EFL students'
motivation. To address this issue, this study aimed to explore the factors that affected students' motivation in online
learning, using a sequential mixed-methods research design. The data were collected from 300 randomly selected EFL
students from 30 purposively selected public colleges, and interviews were carried out with ten of the students during
the months November and December 2021. The quantitative data were gathered using a survey questionnaire, while
the qualitative data were collected through the interviews. The results showed that while learners were motivated to
engage in online learning, only a few of them joined due to demotivating factors, primarily related to time management
and technology use, rather than environmental factors. The study also identified an exciting learning environment,
encouraging and instant feedback, transparent and persistent evaluation, and constant opportunities for learning as the
major motivating factors. Conversely, poor technology, lack of proper access to the internet and electricity, learner skills
and knowledge in using technology and collaborative tools, poor time management skills, and inadequate learning space
were identified as the demotivating factors in online learning. The findings of this study highlight the importance of
reducing demotivation factors to encourage learners’ motivation for online learning. The study’s results are useful for
curriculum designers, policymakers, instructors, and students as they provide significant information to make online
learning effective and meaningful, especially in EFL courses, thereby maximizing students' motivation and learning.
Emerging Frontiers in CAR T-cell Therapy: Pioneering and Advancing Immunotherapeutic Strategies for Oncological Applications in Modern Medicine
Authors: Zade Alka
Published: February 2025

CAR T-cell therapy stands at the forefront of immunotherapeutic innovations in oncology, revolutionizing cancer treatment paradigms. This review explores the latest advancements and frontiers in CAR T-cell therapy, elucidating its mechanisms, clinical applications, and challenges. We delve into novel engineering strategies for enhancing CAR T-cell efficacy and safety, including next-generation CAR designs, combinatorial approaches, and gene editing techniques. Furthermore, we discuss the expanding landscape of CAR T-cell therapy beyond hematological malignancies, encompassing solid tumors and viral infections. Insight into the intricate interplay between the tumor microenvironment and CAR T-cell function is provided, alongside emerging biomarkers for patient stratification and treatment monitoring. Finally, we address pivotal clinical trials, regulatory considerations, and future prospects, emphasizing the transformative potential of CAR T-cell therapy in reshaping the oncological treatment landscape.
Targeting Neurodegeneration in Alzheimer's Disease: A Comprehensive Evaluation of Andrographolide as a Potential Therapeutic Agent in the Management and Treatment of Cognitive Decline
Authors: Zade Manju
Published: February 2025

Alzheimer's Disease (AD) remains a pressing global health issue, necessitating the discovery of effective therapeutic strategies. This review explores Andrographolide as a potential therapeutic agent for neurodegeneration in Alzheimer's. The compound's neuroprotective capabilities—spanning anti-inflammatory, antioxidant, and anti-apoptotic effects—form the basis of its therapeutic promise. Beginning with an overview of the growing prevalence and impact of AD, the review underscores the urgent need for novel treatments. Derived from Andrographis paniculata, Andrographolide has demonstrated potential in preclinical studies by mitigating key Alzheimer's features. This analysis delves into the compound's chemical characteristics, pharmacological properties, and extraction methods, followed by an exploration of its neuroprotective mechanisms. The review critically assesses preclinical and clinical studies, offering a comprehensive evaluation of Andrographolide's effects. Through comparative analysis with existing therapies, the unique advantages and limitations of Andrographolide are highlighted, positioning it as a promising disease-modifying candidate for Alzheimer's treatment.
Exploration of Artificial Intelligence Assisted Software Development Process Automation Technology
Authors: Lin Jun
Published: February 2025

By systematically analyzing the application status of artificial intelligence (AI) technology in the field of software development, this article reveals its positive role in improving development efficiency, reducing costs and promoting industry innovation. Futhermore, it also points out the problems that need to be solved urgently, such as the change of employment market, ethical and legal challenges and technical security. By combing the relevant literature, this article summarizes the historical evolution and present situation of AI-aided software development, and probes into its socio-economic impact and ethical and legal issues. Finally, considering the actual situation, this paper puts forward the countermeasures that the government, enterprises and educational institutions should use. The results show that AI-aided software development brings great opportunities and a series of challenges. In order to meet these challenges, some measures are put forward, including strengthening policy guidance, perfecting education system, establishing industry standards and ethical standards. AI-aided software development is the inevitable trend of the future development of the software industry, but it needs to find a balance between technological progress and social responsibility. With the joint efforts of all parties, it is possible to realize the deep integration of AI technology and software development.
Research on Intelligent Recommendation Algorithm Based on Deep Learning
Authors: Zhang Xinyi
Published: February 2025

With the wide application of intelligent recommendation system in e-commerce shopping, video websites and social media platforms, timeliness, accuracy, scalability and interpretability have gradually become important criteria to measure the excellence of a recommendation system.The most widely used recommendation system is collaborative filtering recommendation system. Its advantages include high accuracy, good real-time performance, and strong scalability, but there are still disadvantages, including cold start, data sparsity, and vulnerability. In the current flourishing of deep learning research, adding deep learning can fundamentally solve the problem, and better use the implicit and explicit information provided by past and current new users to bring more accurate and satisfying recommendations to users. This study analyzes and introduces the model building and recommendation algorithm logic of the representative recommendation system, and studies the feasibility of combining deep learning with artificial intelligence to optimize the new recommendation system.
Research and Application of Multi-Objective Workpiece Classification and Recognition Based on YOLO v5 Model
Authors: Xia Li
Published: February 2025

Workpiece recognition is an important application of machine vision in industry. The article proposes a deep learning image recognition method for workpiece recognition and classification. First, the workpiece sample library is established, the model is built using the YOLOv5 algorithm, and the optimal model is obtained after training and parameter tuning; in the process of solving the model, it is tested for the workpiece dataset, and the results show that the model achieves an accuracy of more than 94% in the validation set, and finally, after the validation, the model can be accurately recognized and classified, and it provides effective decision-making support for the actual recognition of the workpiece.
Optimization and Practice of Convolutional Neural Networks in Image Classification Tasks
Authors: Liu Lubin
Published: February 2025

This study focuses on the optimization and practice of Convolutional Neural Networks (CNN) in image classification tasks. A deep neural network model was constructed by introducing the CBAM (Convolutional Block Attention Module) attention mechanism and residual structure. This model combines the stability of residual networks during training with the advantages of CBAM in feature extraction, aiming to improve image classification performance. The experiment used the CIFAR-10 dataset and achieved a testing accuracy of 86% through optimization methods such as data augmentation, batch normalization, reasonable control of the number of fully connected layers, and exponential decay learning rate strategy. The study also explored the effects of data augmentation, batch normalization layer utility, fully connected layer quantity control, residual structure effectiveness, and CBAM attention mechanism on model performance, providing valuable insights for optimizing CNN in image classification tasks.
Rural Depression Patients Judgment Model Based on Machine Learning
Authors: Yang Mingjiu
Published: February 2025

Depression is a serious mental disorder. According to data released by the World Health Organization last year, there are approximately 300 million people suffering from depression worldwide. Due to the backwardness of medical care in rural areas and the low level of understanding of depression among residents, mental illness affects individuals in rural areas more seriously than in urban areas. However, with the development of artificial intelligence technology, related techniques such as machine learning have made initial gains in the field of depression determination and treatment. In this paper, based on a survey of data from Busara Center in Kenya, various machine learning methods such as K-NN, Naive Bayes methods, Support Vector Machine Classifier and Random Forest Classifier were used and evaluated for the most accurate model. The results show that Random Forest Classifier has the highest accuracy, at 0.794.
Research on Brain Tumor Medical Image Classification Based on Deep Neural Network
Authors: Hou Youyang , Zhang Fengyuan
Published: February 2025

This paper mainly discusses the use of deep neural networks in classifying medical images for brain tumors. Firstly, the research background is introduced, pointing out the importance of early and accurate diagnosis of brain tumors and the limitations of traditional manual analysis methods. With the development of deep neural networks, it shows great potential in the field of medical image classification. Then, the basic principles of deep neural networks are expounded. The characteristics of medical image classification are analyzed, such as the specific features of brain tumor images and the strict requirements for data quality and annotation. Then, the utilization of deep neural networks for the categorization of brain tumor images is introduced in detail: deep neural learning image classification on MATLAB taking CNN as an example. The advantages and challenges of deep neural networks in the classification of brain tumor images are discussed. Finally, the research conclusions are summarized. Deep neural networks have achieved remarkable results in the classification of medical images for brain tumors, but there are also deficiencies. The future research directions are prospected.
Building an Intelligent E-commerce Platform: From System Design to Meeting User Emotional Needs
Authors: Li Wanxin
Published: February 2025

This paper discusses the evolution and development history of online shopping platforms, the core design principles of e-commerce systems and their impacts on user experience. From the beginning of e-commerce to the e-commerce application of mobile devices, transforming consumption patterns has promoted the iteration of technology and design concepts. With interface design, interaction design and accessibility as its core components, this paper analyzes how to use existing technologies to enhance personalized shopping experiences. In addition, the article also emphasizes the importance of integrating logistics systems with platforms, analyzes the emotional trends of user needs that are gradually forming at present, and the potential for future system optimization. Through these contents, this paper aims to provide practical design strategies for optimizing online shopping platforms.
Federated Learning Based on Dimension Selection
Authors: Cheng Mengyuan
Published: February 2025

Federated learning, as a distributed machine learning framework, enables users to collaboratively train models by sharing model parameters without exposing their raw data. However, model parameters may contain privacy-sensitive information, and directly sharing them still poses a risk of user privacy leakage. Local Differential Privacy (LDP) effectively defends against adversaries with arbitrary background knowledge, providing more comprehensive privacy protection. However, the high-dimensional nature of parameters in federated learning presents challenges for the application of LDP. To address this issue, this paper proposes a federated learning algorithm, FDL, that satisfies local differential privacy. The algorithm employs a dimension selection strategy to identify parameter dimensions critical for global aggregation and applies the Laplace mechanism to perturb these dimensions. Compared to traditional methods, the FDL algorithm significantly reduces the number of parameters to be processed and the amount of noise introduced. Theoretical analysis proves that the FDL algorithm satisfies-local differential privacy, and experimental results demonstrate its high usability while ensuring strong privacy protection.
Research on Hardware Acceleration of Dehazing Network Based on Deep Learning
Authors: Zheng Xianlong
Published: February 2025

Computer vision devices play a crucial role in both industrial and everyday life. However, when capturing images in hazy weather, the performance of these devices can be severely affected, resulting in a significant decrease in image quality. Therefore, effective image dehazing has become a necessary and urgent task. In recent years, with the rapid development of deep learning technology, significant progress has also been made in the field of image dehazing. However, despite the excellent performance of existing models in improving dehazing effects, they often overlook issues of computational efficiency and resource consumption. The high computational cost not only limits the widespread application of these advanced methods in practical scenarios, but also increases the difficulty and cost of hardware deployment. In response to the above challenges, we propose a novel lightweight image dehazing network called LDM-Net (Lightweight Dehazing Module Network). This network aims to reduce model complexity by optimizing structural design, while introducing attention mechanisms to enhance its generalization ability, thus better adapting to image dehazing needs in different environments. In order to verify the actual effectiveness and potential value of LDM-Net, we successfully deployed this network on various hardware platforms and conducted comprehensive testing and evaluation. The experimental results show that compared to several leading image dehazing solutions in the current market, LDM-Net can achieve better or at least equivalent dehazing performance while maintaining lower computational resource consumption. Specifically, it can approach or even surpass the performance of other advanced lightweight image dehazing methods in multiple key indicators, including but not limited to peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), and visual perception evaluation. This achievement not only demonstrates the strong competitiveness of LDM-Net as an efficient and low-energy solution, but also points out a new direction for the research and development of image dehazing technology in the future. In addition, considering its good scalability and flexibility, LDM-Net is expected to be widely used in smart city construction, auto drive system and other fields, further promoting the progress and development of related industries.
La investigación formativa, un análisis comparativo entre instituciones de educación secundaria públicas y privadas
Authors: Ulloa-Jiménez Milton Javier , González-Ortiz Daniel Alejandro , Hernández-Gamboa Jose Orlando , Gonzalo-Zapico Martín
Published: February 2025

Formative research refers to practices linked to the promotion of research competencies at different educational levels. In the case of Colombia, the Ministry of National Education defines the guidelines linked to these practices at the secondary level and promotes them, stimulating national and international inter-institutional relations, facilitating funds for participation in scientific events and providing sponsorships for different activities. However, on many occasions these guidelines tend to be implemented more as a function of particular determinants, such as the will of some teachers or directors, rather than as true institutional policies. In this sense, the possibility of developing this type of activities ends up depending on having trained and scientifically educated teachers to be able to create, implement and evaluate scientific programs. In view of this situation, the main objective of this research was to analyze the relationship between knowledge and practices on formative research in a sample of teachers from public and private schools in Santander. For this purpose, a previously validated survey was implemented in a sample of 215 teachers from different secondary schools, which measured the variable in three dimensions: knowledge of formative research, motivation to formative research and formative research practices. The results indicate that in a context where institutions do not actively promote this type of practices, the possibility of their development is very limited and depends exclusively on the profiles of the teachers in the institutions.
DINAMIKA PEMBENTUKAN BANK TANAH DI INDONESIA
Authors: Padmawati Ida Ayu Putu Sri Astiti , Kumala Ida Ayu Ratna , Apriani Ni Wayan Lia
Published: February 2025

Pembangunan bank tanah merupakan pertama kali dilakukan di Indonesia, sehingga memerlukan perhatian khusus dan kajian mendalam, mengingat konsep ini masih relatif baru di negara ini. Oleh karena itu, penting untuk membandingkan sistem dan praktik bank tanah yang telah lebih dulu diterapkan di negara-negara lain, guna memperoleh wawasan dan pemahaman yang lebih baik dalam merancang dan mengelola bank tanah yang efektif dan efisien. Metode  penelitian  yang  digunakan  adalah  yuridis  normatif  dengan  menggunakan   pendekatan   Perundang-undangan   dan   pendekatan   konseptual. Hasil penelitian ini menunjukkan bahwa Urgensi pembentukan bank tanah pasca terbentuknya UU Cipta Kerja dan PP Bank Tanah adalah karena didorong keterdesakan Indonesia akan permasalahan kebutuhan tanah yang sangat besar, yang nantinya tanah tersebut digunakan sebagai wadah kegiatan investasi. Sehingga norma-norma dalam UU Cipta Kerja dan PP Bank Tanah terkait pembentukan bank tanah belum mampu merepresentasikan urgensi awal pembentukan bank tanah di Indonesia. Keberadaan bank tanah bukan pertama kali ada di Dunia, terbukti beberapa negara-negara di Dunia telah lebih dulu membangun Bank Tanah dengan konsep yang berbeda satu sama lain, antara lain Belanda dan Amerika Serikat. Menelaah dari pengaturan pembentukan bank tanah yang akan dicanangkan dibentuk di Indonesia, maka tidak dijelaskan secara jelas konsep/jenis bank tanah yang akan dibentuk. Seharusnya mengenai konsep/jenis bank tanah harus ditetapkan secara tegas sebagaimana negara-negara yang memiliki lembaga bank tanah seperti Belanda dan Amerika.
A	Living	Educational	Theory	approach	to	enhancing	Pakistani	literature	students'	critical	thinking	and	engagement	through	cooperative	learning
Authors: Panhwar Abdul Hameed
Published: February 2025

In this paper I show how I have used a Living Educational
Theory approach to improve my teaching and literature
students’ learning, as I generate knowledge whilst exploring the
question, “How do I improve what I am doing?” I report a
classroom-based Living Educational Theory Research study
conducted in a university in Pakistan, where I teach English
literature classes. I aim to improve students’ motivation to
learn and develop their cognitive abilities, with the
implementation of two cooperative learning strategies in a
fourth (final) year class. Two cooperative learning strategies
were implemented throughout a semester through actionresearch cycles. Data was collected through lesson-feedback
forms, interview and class observation, and analysed
thematically. My understanding is that the methodology of
Living Educational Theory Research can be a very effective
approach for identifying practitioners’ living contradictions in
their practice, which leads to their research focus. It also
clarifies the values they embody in their practice and which
they draw on as their explanatory principles and standards of
judgement. Hence, the use of Living Educational Theory
Research may assist teachers in their own educational
professionalism and also student motivation to learn literature
and develop their cognitive abilities with English literature
learning.
operation of the organizational structure of the university of carabobo as a venezuelan autonomous institution
Authors: Sifontes Johnny José , Álvarez José
Published: February 2025

Introduction: The University of Carabobo is an autonomous educational institution that has a defined organizational structure for its operation, which consists of different instances and governing bodies that work in a coordinated manner to make decisions and carry out the academic and administrative activities of the university. institution. In this organization, at the top of the structure is the University Council, the highest governing body of the university, which is made up of the Rector, who is the main representative of the institution, and other members such as the Vice-rectors, deans and student representatives. Thus, the University Council has the authority to establish policies and regulations, make important decisions and supervise the general functioning of the university. Under this University Council are the different Faculties and Schools that make up the university. Each of them is headed by a Dean and directors, who are responsible for the academic and administrative management of their respective unit. Likewise, the University of Carabobo has a series of support and advisory bodies in different areas, such as the Scientific and Humanistic Development Council, in charge of promoting and supporting scientific research and development; the Planning and Budget Directorate, responsible for strategic planning and resource allocation; and the Office of Interinstitutional Relations, in charge of coordinating programs and agreements with other institutions.Method: a documentary review was carried out.Conclusion: the organizational structure of the University of Carabobo is based on the University Council as the main governing body, the Faculties and Schools as academic units, and various support and advisory bodies. These elements work together to ensure the efficient and autonomous functioning of the university.
Current perspectives in the diagnosis and management of bacterial meningitis. Literature review and update
Authors: Auza-Santivañez Jhossmar Cristians , Apaza Huanca Blas , Paz Roman Carlos Alberto , Cardozo Gil Paul , Antezana-Muñoz Jose Bernardo , Bautista-Vanegas Freddy Ednildon , Márquez-Molina Jorge , Kubatz La Madrid Mildred Ericka , Paycho Anagua Eloy
Published: February 2025

Introduction: Bacterial meningitis is a serious and potentially fatal disease that has represented a significant challenge to medicine since its identification in the 19th century. Despite advances in antimicrobial treatment, it remains a major cause of morbidity and mortality worldwide. This review aims to update current perspectives on the diagnosis and management of bacterial meningitis, focusing on its pathogenesis, clinical manifestations, diagnostic methods, and therapeutic strategies. Methods: A search for information was carried out in the period August-December 2024 in the SciELO, LILACS, Scopus, PubMed-MedLine databases, the Google Scholar search engine, as well as in the ClinicalKeys services. For the recovery of information, an advanced search strategy was used and the terms “meningitis or bacterial meningitis” were used, as well as their translations into the English language. To combine the terms, Boolean operators were used, with search formulas according to the syntax requested by each database. Furthermore, in order to achieve a review based on the best possible evidence, only studies of the type case series, original articles or systematic reviews were selected. Results and discussion: Bacterial meningitis develops when pathogens overcome the host's defense mechanisms, colonizing mucous membranes, invading the bloodstream and penetrating the subarachnoid space. The main pathogens include Streptococcus pneumoniae, Neisseria meningitidis and Haemophilus influenzae. The most common clinical manifestations are fever, headache, stiff neck and altered mental status. Diagnosis is based on analysis of cerebrospinal fluid (CSF), which shows pleocytosis, increased protein and decreased glucose. Empirical treatment includes antibiotics such as cefotaxime, ceftriaxone and vancomycin, together with dexamethasone as adjuvant therapy to reduce inflammation. Conclusions: Bacterial meningitis is a serious infection of the central nervous system, a medical emergency whose mortality and sequelae can be reduced with timely diagnosis and treatment. The key is to start treatment immediately and without delay. Prevention is the cornerstone of its control. Only through multidisciplinary management, which could include an expert infectious disease specialist, an intensive care physician, a specialized nurse and adequate laboratory equipment, can the impact of this devastating disease be mitigated.
Medical Emergencies in the Dental Office: Challenges and Solutions
Authors: Cardoso Maria Belen , Brusca Maria Isabel , Verdu Sergio Dario , Jewtuchowicz Virginia
Published: February 2025

Introduction: Medical emergencies, although infrequent, represent a challenge in the dental setting due to their potential risk to the patient's life and the need for an immediate response. In Latin America, the aging population and associated comorbidities, such as hypertension and diabetes, increased the probability of these events in dental offices. Anamnesis and professional preparation were essential to identify risks and prevent complications during dental procedures.Development:The management of medical emergencies in dentistry focused on two key aspects: prevention and intervention. Prevention included the collection of a detailed medical history and constant monitoring of vital signs. On the other hand, immediate intervention, based on protocols such as Basic Life Support (BLS), was essential to avoid serious complications. The most frequent emergencies included syncope, hypoglycemia, seizures and hypertensive crises. The studies underlined the importance of continuous training of dental personnel and the availability of emergency kits, especially in rural areas.Conclusion: Effective management of medical emergencies in dentistry depended on the theoretical and practical training of dentists, as well as the implementation of standardized protocols. The availability of adequate equipment and medications in dental offices significantly improved outcomes. This comprehensive approach ensured a safe environment, minimized risks and strengthened confidence in the dental care system.
Rescuing heritage to enhance it, the case of the Historic Center of Mexico City
Authors: Magaña Gabriel Ramón
Published: February 2025

The article analyzed the process of urban renewal in the Historic Center of Mexico City (CHCM) since the beginning of the 21st century, highlighting its link with neoliberal policies and its impact on the transformation of urban space. It explained that the renovation was based on heritage rescue as a development strategy, combining public and private investment to rehabilitate buildings and public spaces for tourism and commercial purposes.It was argued that urban renewal framed within the neoliberal model has favored the commodification of space, turning cultural heritage into an economic resource. The implementation of these policies responded to a model of governance in which local governments, companies and international organizations directed the intervention strategies. This phenomenon intensified urban inequality, favoring areas of high economic profitability while marginalizing other areas without commercial potential.The article highlighted the role of culture in urban renewal, as cities with a heritage legacy used their cultural resources to attract investment and tourism. In the case of the CHCM, heritage conservation was guided by commercial interests, establishing regulations on access and use that restricted the enjoyment of the space to certain social sectors. Finally, it was concluded that culture-based urban renewal requires a theoretical approach that articulates the materiality of space with the ideologies that underpin its transformation.
Konsep Sihir Perspektif Fakhruddin al-Razi
Authors: Rahman Azibur
Published: February 2025

Keberadaan sihir dalam kehidupan masyarakat merupakan sebuah keniscayaan yang sampai hari ini masih dipercayai, baik itu dari kalangan yang beragama maupun tidak. Perkara sihir terkadang bisa membuat rusaknya interaksi sosial, karena adanya tuduh-menuduh antar satu dengan yang lainnya. Setidaknya terdapat 63 kali, yang menyebut sihir dengan berbagai bentuk kata padanannya. Oleh karena itu, menjadi menarik jika mencoba memperdalam pemahaman soal sihir dalam Alquran dengan memakai analisis penafsiran dari seorang mufassir berpengaruh yakni Fakhruddin al-Razi dalam tafsirnya Mafatih al-Ghaib. Sihir menurut al-Razi sebuah perbuatan yang memalingkan suatu keadaan yang sebenarnya menjadi samar-samar. Penelitian tentang sihir ini tentu sangat menarik jika terus dikaji dengan berbagai pisau analisis, baik itu dengan kajian tokoh maupun komparasi. Maka dari itu, hasil penelitian dalam tesis ini bisa menjadi acuan untuk penilitan berikutnya untuk lebih memperdalam kajian yang sama.
Keyword : Sihir, Al-Razi
Studi Perkembangan Tafsir di Mesir
Authors: Aprilianti Anisatul Fikriyah
Published: February 2025

Mesir merupakan salah satu diantara negara-negara Islam yang turut memberikanandil dalam perkembangan khazanah intelektual Islam. Perkembangan tafsir diMesir dapat dibagi menjadi tiga fase, yaitu: 1) Fase Pembentukan (‘Asr al-Takwin) yaitu fase yang masih berada dalam tataran normatif dengan didominasi pendekatan-pendekatanriwayah dan paradigma penafsiran pada fase ini adalah al-tafsir al-ma’thur. 2) Fase Kodifikasi ('Asr al-Tadwin) yaitu fase dimana karya-karya tafsir yang berkembang tidak hanya berorientasi pada aspek riwayah, tetapi sudah mulai mengelaborasi aspek dirayah dan paradigma penafsiran pada fase iniadalah al-tafsir al-lughawi yang berkembang menjadi corak sastra atau al-tafsir al-adabi. 3) Fase Pembaharuan ('Asr al-Tajdid) yaitu fase dimana kajian tafsir telah menggunakan metodenya yang lebih objektif dan menjadi problem solving terhadap masalah-masalah sosial yang melanda umat islam dan paradigma penafsiran pada fase ini adalah al-tafsir al-ijtima'i , al-adabi dan al-'ilmi.