bluuebunny/crossref_metadata_2025 huggingface dataset:
DIGITAL DIVIDE IN EDUCATION: ANALYSING ACCESS, EQUITY AND CHALLENGES IN WEST BENGAL
Authors: Dr. Samir Biswas
Published: February 2025

This study critically examines the digital divide within West Bengal's educational landscape through an integrative analysis of infrastructural inadequacies, socio-economic disparities, and entrenched cultural barriers. By synthesizing extensive secondary data, the research illuminates how inequitable access to digital technologies undermines academic performance and restricts long-term socio-economic mobility. The pronounced contrasts between urban centres like Kolkata and rural hinterlands reveal the limitations of technocentric policy approaches that overlook intersectional determinants such as gender, caste, and economic status. Using both quantitative and qualitative approaches, the analysis advocates for a comprehensive and context-sensitive framework that combines substantial infrastructural investments with tailored digital literacy programs and community engagement. Ultimately, the findings advocate transformative strategies that reconceptualize digital education as a catalyst for equitable social advancement.
KEYWORDS: Digital Divide, Educational Inequality, Intersectionality, Technocentric Policy, West Bengal
Propóleos interfiere con el ciclo celular en células de cáncer de mama
Authors: Calderón Ahumada Andrea , Alday Efraín , Rascón Lucila , Velázquez Carlos , Lipovka Yulia
Published: February 2025

El cáncer de mama es el cáncer más común en las mujeres de México y en el mundo. Múltiples investigaciones se han centrado en buscar nuevas alternativas para el tratamiento de esta neoplasia, incluyendo el estudio de productos naturales. El propóleos, una resina elaborada por las abejas, tiene una composición química muy variada, que depende de las fuentes botánicas disponibles en la zona geográfica y estación del año de recolección. Su acción antiproliferativa se debe principalmente a la inducción de apoptosis y arresto del ciclo celular. Este artículo ofrece una visión general del cáncer de mama y sus clasificaciones, examina la importancia del ciclo celular y sus diferentes fases, y aborda la complejidad química del propóleos y su actividad biológica. Por último, detalla los mecanismos intracelulares responsables del efecto antiproliferativo del propóleos en el cáncer de mama, con particular énfasis en su capacidad para detener el ciclo celular.
A CUSTOMER SATISFICATION TOWARDS HIMALAYA HERBAL PRODUCT
Authors: Dr B. Ramya  , Ms. Priyadharshini
Published: February 2025

This study investigates that the customer satisfaction of 102 respondents of Himalaya herbal products, Here, the primary data is gathered by questionnaire method and have used analytical tools such as Percentage, chi-square, Regression and ranking analysis were used .and to investigate the key components that to buy the product and complete satisfaction level of a product. In this type of customers satisfaction will increase according to their quality and quantity, package, pricing, Natural ingredients and customer’s needs according to their necessity. Here, the customer satisfaction is more important to the products.
UNEMPLOYMENT ANALYSIS IN INDIA USING MACHINE LEARNING
Authors: Puli Venkata Kishore , Rao S.Satya Nagendra , Murgan A. Senthil , Gavasker R Sunil
Published: February 2025

Unemployment is a critical socioeconomic issue that significantly impacts a nation's growth and development. In India, understanding the dynamics of unemployment is particularly challenging due to its vast population and diverse labour market. This study employs machine learning techniques to analyse unemployment trends, predict unemployment rates, and identify the key factors influencing employment status in India. Machine learning models, including decision trees, random forests, and regression algorithms, are trained and evaluated to predict unemployment trends. The results provide insights into unemployment patterns across different regions and demographic groups, enabling policy makers to target interventions effectively. The study highlights the potential of machine learning in addressing complex socioeconomic challenges and offers a scalable framework for ongoing unemployment monitoring and policy formulation in India.
3D ROOM SCANNING AND FURNITURE PLACEMENT IN VIRTUAL REALITY
Authors: C. Soumi  , Rao V Babu , Reddy D.Harith , K. Madhavi
Published: February 2025

This paper focuses on the development of a web application using A-Frame, which is a tool for creating 3D and virtual reality experiences. The application lets users walk around a two-story virtual house and play with different furniture items in a 3D space, helping them with their interior design ideas. It’s designed to be easy for everyone to use. Users can move, rotate, and place furniture, and they see how their changes look right away. This way, they can better understand their design ideas.The application includes many 3D furniture models from websites like Sketchfab and Sweet Home 3D, offering a variety of styles and options. The main goal is to help users turn their design ideas into real layouts, making home decoration fun and easy. This app encourages creativity, allowing users to create unique living spaces that show off their personal style.
DESIGN AND DEVELOPMENT OF UNIFIED POWER FLOW CONTROLLER USING STATCOM AND VAR COMPENSATORS
Authors: B Sharadvithi  , K Sreelatha  , Amaresh arnam , C H V Ganesh
Published: February 2025

Using MATLAB/SIMULINK, this paper indicates the theory and operation of flexible alternatingcurrent transmission system (facts) devices, namely the unified power flow controller. Two voltage source converters can be connected back to back through a common DC link capacitor in this paper's UPFC. At the point of connection, the VSC-1, referred to as STATCOM, injects a reactive current into the system. The VSC-2 also called the SSSC, injects voltage into the system in series. The unified power flow controller (UPFC) facilitates real-time control of power flow in transmission lines by adjusting line parameters such as node voltages, phase angle, and line impedance, which cover all other FACTS adjustable parameters. Static synchronous compensator (STATCOM), Static VAR Compensator (SVC), phase shifters, and thyristors are all becoming more common as technology develops.
TRACKING OF EFFECTIVE SUNLIGHT FOR INCREASING POWER GENERATING EFFICIENCY IN CHARGING STATIONS
Authors: D Divya  , B Sharadvithi  , Shekaran Lallu , Sagar K E CH Vidya
Published: February 2025

The globe has turned its attention to sustainable development and renewable energy as a result of climate changes brought on by global warming and ozone layer depletion. As a result, solar PV systems are now seen as a viable source of energy due to their direct conversion of sunlight into electricity, simplicity of operation, and production of clean energy. The panel land-based PV systems, however, use up a lot of usable land. For the same quantity of energy production, a solar PV pole only needs a small portion of that area of land. It is also more efficient than a land-based system at capturing sunlight. This solar pole aids in tracking the sun and improving the effectiveness of electricity generation.
Real-Time Driver Drowsiness Detection System Using Facial Landmark Analysis
Authors: Raju Chinnam Yuva , Kishore V. Sai , Flower K Little , Reddy T. Saroja
Published: February 2025

This study presents a real-time, non-intrusive Driver Drowsiness Detection System designed to monitor driver alertness using visual cues such as Eye Aspect Ratio (EAR) and Mouth Aspect Ratio (MAR). By leveraging facial landmark detection and machine learning techniques, the system analyzes video frames to detect early signs of drowsiness. If drowsiness indicators are detected, the system issues an audible and visual alert, thereby improving road safety. The approach uses Python, OpenCV, and Dlib to efficiently process and analyze live video feeds, ensuring rapid detection in real-time scenarios. This paper discusses the architecture, methodologies, and results of this system, which demonstrates significant potential as a lowcost solution for enhancing driver safety.
Pregnancy-associated coronary artery dissection (P-SCAD): A crucial differential diagnosis for chest pain during pregnancy
Authors: Haris Muhammad , Hammad Amer , Kumar Vicky
Published: February 2025

Pregnancy-associated spontaneous coronary artery dissection (P-SCAD) is a rare but severe cause of acute coronary syndrome. The clinical presentation of P-SCAD can vary widely, ranging from asymptomatic cases to cardiac arrest and sudden cardiac death. Chest pain is the most common presenting symptom, though other symptoms, such as dyspnea, nausea, vomiting, and palpitations, may also occur. P-SCAD is often underdiagnosed because patients typically do not fit the profile of those with atherosclerosis and myocardial infarction. It predominantly occurs in younger individuals without traditional cardiovascular risk factors. The diagnosis of P-SCAD is commonly made during coronary angiography. Therefore, in pregnant and postpartum females presenting with chest pain or pressure, P-SCAD should be considered in the differential diagnosis, regardless of the presence of other risk factors such as age, hypertension, or diabetes.
Vaccine hesitancy and its association with demographics, mental health, and disability: Findings from the VH-3 study in the United States, India, and China
Authors: Bhattacharyya Arinjita , Singh Shikshita , Sakshi Swarna , Seth Anand , N. Rai Shesh
Published: February 2025

The novel coronavirus (SARS-CoV-2), which causes COVID-19, has claimed millions of lives since December 2019. The rapid development of vaccine candidates and treatments has led to increased confusion and mistrust regarding the development, emergency authorization, and approval processes. To better understand vaccine hesitancy, we analyzed two publicly available datasets: One from the Inter-University Consortium for Political and Social Research Covid-19 database and the other from the United States (US) Census Bureau’s Household Pulse Survey Phase 3.2. In India, 90.2% of 1,761 participants indicated acceptance of a COVID-19 vaccine. A binary logistic regression model, using vaccine hesitancy as a dichotomous variable, showed that rural populations had an odds ratio (OR) of 3.45 (p < 0.05) for vaccine hesitancy. In addition, income played a significant role, with individuals earning 7501 – 15,000 Indian Rupees (INR)/month, or US$ 91 – 183, having an OR of 1.41 compared to other income groups. In the US, 67.3% of 1,768 participants expressed willingness to accept the vaccine. White participants had an OR > 1 compared to other racial groups, while low-income groups earning US$ 2000 – 4999/month had an OR of 1.03. In China, 90.0% of 1,727 participants indicated they would accept a vaccine, with high-income groups showing the least resistance (OR = 0.96) compared to other groups. Among the three countries studied, the US exhibited the highest rate of vaccine hesitancy. This ongoing issue warrants attention from the World Health Organization.
Attaining Sustainable Enhancement in Crop Production Practices in the Turkestan Region: A Review of the Potential of Technological Innovations
Authors: Akhmetova G.Zh. , Baineyeva P.T. , Yessirkepova A.M. , Alzhanova A.A. , Aliyeva Zh.T.
Published: February 2025

Sustainable crop intensification (SCPI) is a system that allows for increasing the intensity of the use of land and non-agricultural resources in agricultural production without having a negative impact on the environment, as well as on those additional areas that are not suitable for agricultural purposes. SCPI is most suitable for the Turkestan region, characterized by favorable climatic and socio-economic conditions for the adaptation of the strategy. It should also be noted that many agricultural technologies have already been introduced in the region in accordance with relevant economic, cultural and traditional practices that can increase the vulnerability of agriculture to environmental changes. The purpose of this study is to coordinate the results of scientific research and the experience of farmers in maintaining production efficiency and observing environmental stability considerations in the conditions of the Turkestan region. In addition, given the fact that the rate of depletion of natural resources and the burden on ecosystems is increasing, more advanced and sustainable farming methods should be applied. Small farms, which currently occupy a significant part of the cultivated land in the region, should be supported by technological and policy innovations leading to the sustainable improvement of farms.
The Effect of Green Investment on the Disclosure of Carbon Emissions from SRI-Kehati Companies
Authors: Ali Vianney Parameswara , Widianingsih Luky Patricia
Published: February 2025

This study examines how green investment affects carbon emission disclosure in companies listed on the SRI-Kehati index. Using the PROPER rating as a proxy for green investment, this research applies a quantitative approach with multiple linear regression analysis on data from 25 companies. The Carbon Emission Disclosure Index (CED) measures transparency in emissions reporting, with firm size as a control variable. The findings reveal a positive relationship between green investment and carbon emission disclosure. Companies with higher PROPER ratings tend to be more transparent in reporting their carbon emissions. This confirms that sustainable investment enhances corporate environmental accountability. The study’s implications suggest that PROPER ratings can serve as a benchmark for improving carbon disclosure standards. Therefore, policymakers and regulators should encourage businesses to invest in environmentally friendly practices to enhance transparency and support climate change mitigation efforts
Com a palavra, o docente formador: conhecimentos e desafios mobilizados na prática profissional na formação matemática nos cursos de Pedagogia
Authors: Alves Luana Leal , Da Silva João Alberto
Published: February 2025

This article aims to understand the knowledge mobilized by Mathematics teacher educator and the challenges they encounter in their professional activities. The research is configured as a qualitative study, which used the teaching case study approach as a method for producing data. The information was collected through audio recordings with five teacher educator who work in the Pedagogy Degree courses at five federal universities in the country, with disciplines in the field of Mathematics Education. For analysis, the Discursive Textual Analysis method was used. In general, the indicators obtained indicate that beliefs and teaching models that they had influenced their professional choices. In addition, it was identified that there is a distance among students in understanding themselves as teachers who teach Mathematics, in a certain way, arising from the curricular structure of the courses, since there is little space for Mathematics, which is a great challenge in initial training.
Entrepreneurial Contributions to Social Development: Insights from Practitioners and Stakeholders in Phnom Penh, Cambodia
Authors: Ban Bunheng , You Vithyea , Sario T Pio
Published: February 2025

Purpose of the study: The purpose of this study is to assess the contributions of entrepreneurs in Phnom Penh to social development, focusing on four key dimensions: social cohesion, social inclusion, social empowerment, and social security.
Methodology: This study employed a quantitative research design using a structured online survey distributed via Google Forms. The survey included Likert-scale items to measure entrepreneurs' contributions to social development. Data were analyzed using descriptive statistics with Statistical Package for the Social Sciences (SPSS) software.
Main Findings: The study found that entrepreneurs in Phnom Penh generally perceive themselves as contributing positively to social development, particularly in social cohesion (mean=3.68), social inclusion (mean=3.60), social empowerment (mean=3.71), and social security (mean=3.70). Entrepreneurs emphasized promoting peace, democracy, and inclusivity, with a notable focus on improving the lives of marginalized groups and fostering collaboration with various sectors to address social challenges.
Novelty/Originality of this study: This study provides a novel insight into the specific contributions of entrepreneurs in Phnom Penh to social development, with a focus on social cohesion, inclusion, empowerment, and security. It advances existing knowledge by highlighting how entrepreneurs integrate social values into business practices and collaborate with stakeholders to address Cambodia's social challenges, offering new perspectives on entrepreneurship’s role in societal transformation.
Genomics vs. AI-enhanced electrocardiogram: predicting atrial fibrillation in the era of precision medicine
Authors: Grégoire Jean-Marie , Gilon Cédric , Marelli François , Bersini Hugues , Carlier Stéphane
Published: February 2025

Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia and can lead to severe complications such as stroke. Artificial intelligence (AI) has emerged as a vital tool in predicting and detecting AF, with machine learning (ML) models trained on electrocardiogram (ECG) data now capable of identifying high-risk patients or predicting the imminent onset of AF. Precision medicine aims to tailor medical interventions for specific sub-populations of patients who are most likely to benefit, utilizing large genomic datasets. Genetic studies have identified numerous loci associated with AF, yet translating this knowledge into clinical practice remains challenging. This paper explores the potential of AI in precision medicine for AF and examines its advantages, particularly when integrated with or compared to genomics. AI-driven ECG analysis provides a practical and cost-effective method for early detection and personalized treatment, complementing genomic approaches. AI-based diagnosis of AF allows for near-certain prediction, effectively relieving cardiologists of this task. In the context of preventive identification, AI enhances the accuracy of predictive models from 75% to 85% when ML is employed. In predicting the exact onset of AF—where human capability is virtually nonexistent—AI achieves a 74% accuracy rate, offering significant added value. The primary advantage of utilizing ECGs over genomic data lies in their ability to capture lifetime variations in a patient’s cardiac activity. AI-driven analysis of ECGs enables dynamic risk assessment and personalized adaptation of therapeutic strategies, optimizing patient outcomes. Genomics, on the other hand, enables the personalization of care for each patient. By integrating AI with ECG and genomic data, truly individualized care becomes achievable, surpassing the limitations of the “average patient” model.
Ischemic stroke and post-stroke depression: the role of agomelatine
Authors: Arshad Aamna , Shaikh Aqsa Rafique , Ali Syed Hassan , Shaikh Umais Ahmed , Bibi Syeda Kainat , Noor Umayma , Wajahat Kainat , Laique Fatima , Umar Muhammad , Giri Bibek
Published: February 2025

Ischemic stroke (IS) is a leading cause of death globally. IS occurs due to a blockage of cerebral arteries, leading to neuronal injury, tissue death, and brain infarcts. This induces lack of oxygenation to the brain which induces neuroinflammation, characterised by interactions involving molecules which can exacerbate brain damage but also aid recovery through processes like microglial phagocytosis. Post-stroke depression (PSD) affects 30–33% of stroke survivors, complicating recovery with various symptoms. The pathophysiology of PSD involves disruptions in the glutamatergic and monoaminergic systems, the gut-brain axis, and neuroinflammation. Agomelatine, an atypical antidepressant, can potentially treat both IS and PSD. It acts as a melatonin receptor agonist and a serotonin receptor antagonist, enhancing dopamine and norepinephrine availability in the prefrontal cortex. Agomelatine’s neuroprotective, anti-inflammatory, antioxidative, and antiapoptotic properties have been demonstrated in research, where it reduces reactive oxygen species (ROS) levels and activates the Nrf2 pathway, promoting antioxidative enzyme expression. Additionally, it prevents microglial activation by inhibiting the toll-like receptor 4 (TLR4)/nucleotide-binding domain, leucine-rich-containing family, pyrin domain-containing-3 (NLRP3) pathway, thus reducing inflammation. This review examines the pathophysiology of IS and PSD, highlighting agomelatine’s multifaceted therapeutic potential. Agomelatine’s distinct pharmacological profile and minimal side effects make it a compelling candidate for IS and PSD treatment, necessitating further exploration to optimise stroke management and improve patient outcomes.
Cytokine profiles and neurological manifestations in post-COVID syndrome
Authors: Desheva Yulia , Muruzheva Zamira , Tumashova Olga , Shvedova Tamara , Kudar Polina , Matveev Georgy , Koroleva Irina , Leontieva Galina , Lerner Anna , Ponkratov Stanislav , Firova Elvira , Suvorov Alexander
Published: February 2025

Aim: The objectives of our study were to evaluate a range of circulating biomarkers in COVID-19-related long-term neurological dysfunction.
Methods: The study involved 30 patients with post-COVID syndrome (PCS) and 28 patients after COVID-19 without PCS. The third cohort consisted of 29 patients with acute COVID-19 of varying severity. The severity of COVID-19 was classified as mild and moderate to severe. The Montreal Cognitive Assessment (MOCA) and the SAGE test were used to study cognitive functions. The Hospital Anxiety and Depression Scale (HADS), the Sheehan Anxiety Scale, and the Beck Depression Inventory were used to study affective functions. The levels of serum cytokines and IgM, IgG, IgA to the SARS-CoV-2 coronavirus were determined using the Vector-Best test systems (Novosibirsk, Russia). We also studied the IgG subclasses to the spike protein of the SARS-CoV-2.
Results: А mild to moderate COVID-19 infection primarily increases the risk of affective disorders and asthenia and, to a lesser extent, the development of cognitive impairment. The levels of IFN-α, IL-6, as well as serum antibodies to the SARS-CoV-2 among patients with PCS were significantly higher compared to convalescents without PCS. IgM to the SARS-CoV-2 was detected in the blood of patients with PCS during 2–7 months after the disease. After moderate and severe COVID-19, IgG2 and IgG4 were predominant in the blood of patients with PCS and neurological symptoms. The levels of IL-1, IL-4, IL-6, IL-8 in the blood serum of patients with PCS were higher after moderate and severe COVID-19 compared to patients who had mild COVID-19.
Conclusions: The obtained data on an elevated level of cytokines and IFN-α in the blood of PCS patients can suggest the hypothesis about the participation of chronic inflammation in neurological disorders. The main limitation of the study is the relatively small sample size, which limits the statistical analyses.
Anti-amyloid β hydrophobic peptides in Alzheimer’s disease: biomarkers and therapeutic potential
Authors: Gutierrez-Merino Carlos
Published: February 2025

Intracellular amyloid β oligomers (AβOs) have been linked to Alzheimer’s disease (AD) pathogenesis and to the neuronal damage in this neurodegenerative disease. Calmodulin, which binds AβO with very high affinity, plays a pivotal role in Aβ-induced neurotoxicity and has been used as a model template protein for the design of AβO-antagonist peptides. The hydrophobic amino acid residues of the COOH-terminus domain of Aβ play a leading role in its interaction with the intracellular proteins that bind AβO with high affinity. This review focuses on Aβ-antagonist hydrophobic peptides that bind to the COOH-terminus of Aβ and their endogenous production in the brain, highlighting the role of the proteasome as a major source of this type of peptides. It is emphasized that the level of these hydrophobic endogenous neuropeptides undergoes significant changes in the brain of AD patients relative to age-matched healthy individuals. It is concluded that these neuropeptides may become helpful biomarkers for the evaluation of the risk of the onset of sporadic AD and/or for the prognosis of AD. In addition, Aβ-antagonist hydrophobic peptides that bind to the COOH-terminus of Aβ seem a priori good candidates for the development of novel AD therapies, which could be used in combination with other drug-based therapies. Future perspectives and limitations for their use in the clinical management of AD are briefly discussed.
On public danger of crimes committed by organized groups
Authors:   https://humanitieslaw.ncfu.ru/jour/article/view/1494, Gunkin Yu. I.
Published: February 2025

Introduction. Crimes committed by organized groups have an increased degree of public danger. The qualification of such acts implies the need to properly define the mentioned category, to establish its qualitative characteristics, which requires appropriate research, including criminal law.
Materials and Methods. The research is based on general scientific and private scientific methods of scientific cognition. The methods of theoretical and empirical research are used. The analysis of court decisions in criminal cases on crimes committed as part of organized groups using the comparative legal method is also carried out.
Analysis. The article studies crimes committed by organized groups related to the consideration of issues of assessing the public danger of crimes committed by organized groups, which have not been sufficiently reflected in the scientific literature. According to the study of the regulatory framework, there is no definition of an organized group in criminal legislation. At the same time, the commission of a crime as part of an organized group has an increased degree of public danger, which is determined by a number of factors of a different nature, discussed in the article. This circumstance requires the development of new theoretical and applied approaches to combating such a phenomenon as organized crime, including those related to the increased public danger of this phenomenon.
Results. The conducted research allows the author to conclude that, despite the active use of the concept in question, the legislator does not in all cases take into account the increased public danger of committing a crime by an organized group. It is subject to correction by making appropriate changes to criminal legislation related to the inclusion in the list of qualifying circumstances of a number of norms establishing responsibility for individual crimes, such an aggravating circumstance as the commission of a crime by an organized group, recognizing it as a particularly aggravating circumstance with the establishment of appropriate sanctions.
Risk-based assessment of the experiment on collecting resort fees in the Caucasian Mineral Waters
Authors:   North-Caucasus Federal University, Navasardova E. S. , Burkin D. O. ,   North-Caucasus Federal University
Published: February 2025

Introduction. An experiment on collecting resort fees from vacationers is being implemented in the Caucasian Mineral Waters in 2018-2024 in accordance with the Federal Law of July 29, 2017 No. 214-FZ “On the Experiment on the Development of Resort Infrastructure in the Republic of Crimea, Altai Krai, Krasnodar Krai and Stavropol Krai”. The practice is not new; it existed in various forms both in pre-revolutionary and Soviet legislation. At the same time, the best practices of previous periods were not taken into account in this experiment at the present stage. It provokes a number of social, economic, commercial, environmental and other risks for the successful functioning of the resort fee institution and the resorts of the Caucasian Mineral Waters as a whole as the most important balneological treatment and rehabilitation base of federal significance.
Materials and Methods. In the process of studying the experiment on introducing a resort fee in the Caucasian Mineral Waters and assessing its effectiveness, methods of analysis, synthesis, induction, deduction, logical, prognostic and comparativehistorical methods were used, including expert assessment and other methods of scientific knowledge. These methods were used within the framework of a risk-oriented approach, which made it possible to identify various risks arising from the imperfection of the legal institution of resort fees.
Analysis. The study of legislation and the practice of its application in the field of resort fee collection in the specially protected ecological and resort region Caucasian Mineral Waters revealed a number of problems inherent in the modern system of public management of these resorts of federal significance. It is necessary to note the shortcomings of the regulatory framework determining the features of resort fee collection - both at the federal and regional levels.
Results. The conducted analysis allowed us to identify negative trends inherent in the resort fee institution. These are the absence of criteria for the efficiency of spending the collected funds (corruption risks), excessive bureaucratic burden of servicing the resort fee imposed by law on its operators, and at the same time the imperfection of the institution of administrative responsibility for violations in this area (commercial risks for legal entities and individual entrepreneurs), poor public awareness and the absence of effective feedback from the state to payers of the resort fee (information risks), insufficient consideration of the interests of socially vulnerable categories of citizens (social risks) and other.
Functionalsemantic, macrostructural and presuppositional-pragmatic parameters of generated Russian-language texts in the linguistic neural networks GigaChat, ChatGPT Marty and Yandex Alice
Authors:   North-Caucasus Federal University, Gusarenko S. V. , Gusarenko M. K. ,   North-Caucasus Federal University
Published: February 2025

Introduction. The purpose of the article is to determine and compare the linguistic characteristics of short Russian-language texts of different genres generated in the language neural networks GigaChat, ChatGPT Marty and Yandex Alice. The relevance of the study is that the study of the linguistic characteristics of the generated texts allowed us to draw conclusions about such characteristics of the named language neural networks as the ability to build microtests based on the semantic parameters specified in the prompt, the ability to select contextually relevant meanings of words in a thematic set of definitions and the ability to build a text of critical interpretation of the statement.
Materials and Methods. The material for the study was linguistic expressions and short texts of different functional affiliation generated by the above-mentioned neural networks – from a sentence and a semantic definition of a word to a text produced by the neural network itself. The following methods were used as the main ones: macrostructural analysis, lexical-semantic analysis, grammatical analysis, stylistic analysis and semanticpragmatic analysis.
Analysis. The study was conducted according to the following plan: 1) analysis of generated definitions of words and sentences constructed by neural networks from these definitions, 2) analysis of generated contextual definitions, 3) analysis of generated texts for their functional-semantic adequacy. Results. Working with thematically related definitions generated by the above-mentioned neural networks made it possible to establish that these language models are able to coordinate definitions of words with a context that is not the text itself, that is, they can, without a special assignment in the prompt, but based on the list of words in it, determine the topic and give definitions on this topic. In the course of studying the ability of language neural networks to assess the categorical and referential reliability of statements, it was found that all three neural networks were able to give correct motivated answers, with one exception, when the neural network indicated a lack of information. In the course of studying the texts generated by the named language neural networks, five main types of violations (defects) were identified in them, which can be qualified as typical for these neural networks: 1) violations of logical-semantic connections in the text, the implementation of false semantic operations; 2) violations of existential pragmatic presuppositions (knowledge about the world, about the properties of objects); 3) violations of communicativepragmatic rules of speech behavior; 4) grammatical deviations; 5) macrostructural violations.
Rozwiązywanie problemów urboekologii w kontekście rozwoju kultury i tożsamości na przykładzie miasta Zaporoża
Authors:   Zaporoski Narodowy Uniwersytet Techniczny, Ryzhova Iryna , Pavliuk Olga ,   Zaporoski Narodowy Uniwersytet Techniczny
Published: February 2025

Problemy środowiskowe miast są ściśle powiązane z urboekologią. W dużych, zurbanizowanych miastach
można zaobserwować różne zjawiska społeczne, gospodarcze, polityczne i religijne oraz wszystkie
aspekty kultury materialnej i mentalnej. Teraz, kiedy Ukraina znajduje sie w trakcie wojny z Rosją,
w wielu miastach procesy urboekologiczne są zakłócane. Celem artykułu jest rozpatrzenie problemów
wielokulturowego miasta przemysłowego w kontekście kultury i mentalności, opracowanie zaleceń do
ich rozwiązania z wykorzystaniem metody analizy strukturalnо-systemowej, w tym: badania terenowe.
Osiedla łanowe – analiza poziomu świadomości i propozycje zmian
Authors: Nowak Daniel , Haupt Patrycja ,   Politechnika Krakowska im. Tadeusza Kościuszki
Published: February 2025

Artykuł omawia zagadnienie „osiedli łanowych” w podmiejskich rejonach Polski z wyszczególnieniem
Krakowa i Warszawy. Powstałe na wąskich działkach porolnych osiedla przyczyniają się do suburbanizacji, kongestii drogowej i szkodzą środowisku oraz społeczeństwu. Badanie ankietowe wykazało, że mimo niższych cen i pragnienia własnego domu z ogrodem, mieszkańcy borykają się z problemami infrastrukturalnymi i ograniczonym dostępem do usług, co obniża jakość ich życia.
Análisis del Manejo de la Broca (Hypothenemus Hampei) en el Cultivo de Café y sus Efectos en la Calidad de Taza en Honduras
Authors: Torres Mejía Fredy , Torres Mejía Juan Alexander , Núñez Cruz Rony Joel
Published: February 2025

Se realizó el análisis del manejo de la Hypothenemus hampei en la Región 11 de Honduras, con el fin de observar la influencia la broca en plantaciones del cultivo de Coffea arabica, ya que es uno de los mayores problemas entomológicos en la caficultura a nivel mundial; así también se evaluó el daño que se provoca en la calidad de taza, ya que el café es un cultivo importante y dependiente en la economía de Honduras. Por lo que se realizó un análisis cualitativo, por medio de entrevistas con participación de diferentes actores del sector cafetalero, tales como: productores, técnicos asesores de campo, catadores certificados de café, representantes de instituciones que atienden el rubro del café; se realizaron instrumentos para recolección de la información técnica, los cuales fueron procesados y analizados por medio de triangulación de productores y técnicos de campo. Honduras cuenta con instituciones que atienden y asesoran la problemática de plagas del café, por lo que se recomienda el uso de controles etológicos para el mejor control de la broca, ya que se presentaron pérdidas económicas hasta de un 60% en algunos productores; por lo que se recomienda realizar en los cafetales, como granea, juntas, la utilización de entomopatógenos, mejor manejo de la poda del cultivo, y la repela y eliminación total de frutos una vez que haya terminado la cosecha, ya que todas variedades de café, a cualquier altura que estén plantadas son susceptibles a la H. hampei, y cuando el grano es más grande, más susceptible es a la infestación de broca. Las características de taza que comúnmente aporta la H. hampei son: sucio, acuoso, flojo, plano, áspero, terroso, alquitranado y moho, por lo existe una incidencia marcada de los granos de café en la calidad de la bebida. Las zonas más afectadas son Trojes, Danlí, San José, Las Limas, Palo Verde, Granadillo, Rio Arriba.
Conservación de plantas nativas en la Ciénaga Grande de Chimá Córdoba Colombia
Authors: Pérez Pérez Armando José , Martínez Montiel Carlos Mario
Published: February 2025

La conservación de la rica y diversa flora que reside en la Ciénaga Grande de Chimá, es de suma importancia porque la biodiversidad que encontramos en esta zona de humedales forma parte del complejo lagunar del bajo Sinú; es un ecosistema de incalculable valor en la región Caribe colombiana. A medida que este ecosistema se enfrenta a una serie de amenazas ambientales que ponen en riesgo su biodiversidad, se presenta una estrategia integral de conservación que busca en la comunidad educativa y local, mitigar el impacto ambiental que se origina por la tala de especies de árboles nativos de la zona. Las especies de árboles presentes en la Ciénaga se convierte en el foco central de este trabajo; se identifican las especies de plantas que se encuentran en lista de riesgo, como el Rascarrabio (Avicennia germinans), Dorado (Tabebuia aurea), Pimiento Avicennia germinan) Naranjuelo (Crateva tapia), Abarco (Cariniana pyriformis) y Cedro (Cedrela Odorata). Evaluando su estado y su importancia en el contexto ecológico de la Ciénaga. Además, se presenta una estrategia participativa que involucra activamente a la comunidad local en la conservación y revitalización de estos árboles. El presente artículo destaca la importancia de emprender acciones sostenibles y colaborativas para protegerlas. La interacción entre la comunidad y el entorno natural se presenta como una vía fundamental para garantizar un futuro en el desarrollo sostenible y equilibrio en el ecosistema.
Comparación y correlación del índice de masa corporal y bioimpedancia en mujeres adultas
Authors: Velazquez García Bertha Leticia , Hernandez Vargas Fabiola Estela , Romero Loyo Carlos Enrique , Márquez Celedonio Félix Guillermo
Published: February 2025

El estudio comparó el índice de masa corporal (IMC) y la bioimpedancia eléctrica en 60 mujeres adultas usuarias de un servicio comunitario en Veracruz, México. Se realizó un diseño descriptivo, correlacional y transversal para evaluar ambas técnicas en la valoración de la composición corporal. Se excluyeron mujeres con condiciones que afectaran las mediciones, como menstruación, edema, dispositivos electrónicos implantados, osteosíntesis o consumo reciente de líquidos. El análisis estadístico se realizó mediante chi cuadrada y coeficiente de correlación de Pearson y mostró que el 50% de las participantes tuvieron coincidencia entre los resultados obtenidos con ambas técnicas. Las mujeres de 40-59 años presentaron la mayor coincidencia (61%), mientras que las de 20-39 años alcanzaron un 44% y las mayores de 60 años, un 35%. No se encontraron diferencias estadísticamente significativa para edad, IMC y porcentaje de grasa corporal. El IMC demostró ser una herramienta diagnóstica imprecisa, ya que no distingue entre masa grasa y masa muscular, limitando su capacidad para clasificar adecuadamente casos de sobrepeso y obesidad. Los investigadores destacan la necesidad de considerar el IMC como una medida de tamizaje, recomendando el uso complementario de la bioimpedancia para evaluar la composición corporal y orientar intervenciones nutricias más precisas.
Impuestos ambientales en tabasco
Authors: Vivas Lizama Juan Francisco , Ruiz Liévano Sofía
Published: February 2025

La presente investigación aborda el análisis jurídico del sistema tributario en materia ambiental reconocido desde las esferas internacionales a las nacionales con el objetivo de inducir el comportamiento humano a respetar, cuidar y preservar las áreas naturales y los ecosistemas que nos rodean, analizando la viabilidad para la creación de impuestos ambientales y su implementación en el estado de Tabasco. El tema hace énfasis al derecho que tienen los seres humanos a gozar de un medio ambiente sano. La presente propuesta es un tema original y poco explorado, que permitirá aportes al Derecho Tributario en material ambiental, ya que el marco jurídico ha sido insuficiente para impulsar la preservación y el cuidado del medio ambiente. La investigación es de tipo documental y aborda una investigación sobre los tratados internacionales relativa a los impuestos ambientales, señalando cómo surge la legislación nacional sobre los impuestos ambientales en México y posteriormente en Tabasco. Se da especial énfasis al análisis de los principios tributarios ambientales con respecto a los derechos humanos y al cuidado de los ecosistemas. Finalmente se aborda la problemática ocasionada por la insuficiente regulación jurídica en materia tributaria, para argumentar la creación de nuevos impuestos relativos al medio ambiente.
Evaluación de la Susceptibilidad Antifúngica y el Efecto Inhibitorio del Extracto de Propóleo frente a Aspergillus Fumigatus
Authors: Villa Gañay Paola Alejandra , Guzmán Aldas Joselin Carolina , Bravo Crespo David Israel
Published: February 2025

El presente estudio evalúa la efectividad antifúngica del propóleo, propuesto como un principio activo con potencial terapéutico frente al hongo Aspergillus fumigatus, un patógeno oportunista que puede causar infecciones pulmonares graves, especialmente en pacientes inmunodeprimidos. El tratamiento convencional de estas infecciones incluye el uso de antifúngicos como el itraconazol; sin embargo, se han reportado casos de resistencia a estos fármacos, lo que subraya la necesidad de nuevas alternativas terapéuticas. En este contexto, el propóleo, derivado de las resinas recolectadas por abejas, ha despertado interés debido a sus propiedades antimicóticas potenciales. Diversos estudios han demostrado su actividad contra una variedad de hongos, incluido A. fumigatus. Por lo tanto, el objetivo de este experimento fue evaluar la acción antimicótica del extracto de propóleo, determinando su efecto inhibitorio a diferentes concentraciones (30 %, 80 % y 100 %) frente a este hongo. Debido a las propiedades físicas del propóleo, cuya consistencia varía de líquida a pastosa o casi sólida según la concentración, se realizaron diluciones 1:10 con diferentes disolventes (acetona, alcohol y glicerina) para facilitar su manejo y permitir un análisis más efectivo. Estos disolventes no solo ayudaron a controlar la consistencia del propóleo, sino que también sirvieron para comprobar si la inhibición observada se debía al propio propóleo o a las características de los disolventes. Los tratamientos incluyeron controles específicos, tales como propóleo puro, medio de cultivo, itraconazol y un control con DMSO, utilizado como referencia para evaluar el crecimiento del hongo. El hongo fue inoculado en agar PDA mediante el método de punción, y las mediciones de crecimiento se realizaron en intervalos de 24, 48 y 144 horas. Los resultados obtenidos, analizados con la fórmula de PICR (Porcentaje de Inhibición del Crecimiento Radial), mostraron que el propóleo diluido con glicerina al 80 % inhibió significativamente el crecimiento del hongo, mientras que en acetona y alcohol la inhibición se atribuyó más a las propiedades antifúngicas de los disolventes. El itraconazol fue efectivo en las primeras horas, pero a las 144 horas se detectó resistencia.
Pengaruh Penggunaan Aplikasi Belajar Anak “Icando” Terhadap Perkembangan Kognitif Anak Usia Dini Dalam Berfikir Simbolik Di TK Darul Fikri
Authors: Resiana Rani Surya , Hayati Dian
Published: February 2025

Penelitian ini dilatarbelakangi oleh perkembangan kognitif anak usia dini dalam berfikir simbolik pada siswa di Tk Darul Fikri yang masih kurang. Dalam menghadapi era revolusi industri 4.0, pemanfaatan teknologi, terutama dalam pembelajaran, menjadi hal yang penting. Di Indonesia, aplikasi berbasis teknologi, seperti Icando, telah diperkenalkan sebagai sarana pembelajaran interaktif untuk anak usia dini. Aplikasi belajar anak Icando merupakan salah satu metode yang dapat digunakan untuk meningkatkan perkembangan kognitif tersebut. Penelitian ini bertujuan untuk Mendeskripsikan Pengaruh penggunaan aplikasi belajar anak Icando terhadap perkembangan kognitif  anak usia dini dalam berfikir simbolik. Populasi penelitian ini adalah siswa, orang tua dan Guru di Tk Darul Fikri Kecamatan Sucinaraja Kabupaten Garut dengan jumlah sampel sebanyak 22 orang. Penelitian ini menggunakan metode deskriptif kuantitatif dengan desain korelasi, juga dilakukan analisis Koefisien Determinasi untuk mendapatkan seberapa besar kontribusi tersebut setelah dilakukan analisis. Hasil analisis data dalam penelitian ini menunjukkan bahwa secara parsial, Aplikasi Belajar Anak "Icando" memiliki pengaruh yang signifikan terhadap perkembangan kognitif anak usia dini dalam berfikir simbolik. Hasil koefisien determinasi menunjukkan bahwa sebesar 66.9% dari perkembangan kognitif anak dalam berfikir simbolik dipengaruhi oleh penggunaan aplikasi belajar anak Icando , sedangkan sisanya 33.1% dipengaruhi oleh faktor lain, seperti metode belajar yang diterapkan di Tk Darul Fikri.
Kata Kunci : Pendidikan Anak Usia Dini, Aplikasi Belajar Anak "Icando", Aplikasi Pembelajaran, Perkembangan Kognitif, Berfikir Simbolik
Pengembangan Kompetensi Pedagogik Guru Dalam Desain Media Pembelajaran Melalui Model In House Training
Authors: Ulfah Fitria , Andini Winda
Published: February 2025

Kelompok belajar Miftahul Ulum diperoleh bahwa 4 guru belum memiliki kompetensi pedagogik yang memenuhi standar. Menurut kepala sekolah kelompok belajar Miftahul Ulum mengatakan para pendidik PAUD di kelompok belajar Miftahul Ulum dalam melaksanakan kegiatan belajar dan mengajar cenderung masih kurang, khususnya dalam memanfaatkan dan mengembangakan media pembelajaran. Terlihat guru-guru di kelompok belajar Miftahul Ulum lebih fokus pada pembelajaran dua arah seperti calistung, membaca, bernyanyi tanpa melibatkan media pembelajaran. Sehingga anak-anak mudah merasa jenuh dan bosan dan banyak yang tidak fokus pada pembelajaran yang didapat di kelasnya. Ditambah fasilitas sarana dan prasarana untuk mendukung proses belajar mengajar masih sedikit dan terbatas.  Penelitian ini bertujuan untuk mendeskripsikan kemampuan pegembangan kompetensi pedagogik guru dalam memanfaatkan media pembelajaran sebelum dan sesudah mengikuti program in house training di kelompok belajar Miftahul Ulum, serta memberikan pemahaman yang mendalam tentang bagaimana in house training dapat meningkatkan kompetensi pedagogik guru dalam desain dan pemanfaatan media pembelajaran. Metode yang digunakan pada penelitian ini adalah metode studi kasus. Metode studi kasus dipilih sebagai metode untuk mencapai tujuan penelitian ini, karena guru dapat belajar secara langsung dan praktis dalam lingkungan kerja mereka sendiri. Lokasi penelitian ini dilaksanakan di Kelompok belajar Miftahul Ulum pada hari selasa tanggal 09 Juli 2024. Subjek penelitian ini adalah guru-guru di kelompok belajar Miftahul Ulum terdiri dari 4 guru perempuan. Objek penelitian ini adalah pengembangan kompetensi pedagogik guru dalam mendesain media pembelajaran, baik sebelum maupun sesudah mengikuti program in house training di kelompok belajar Miftahul Ulum. Hasil penelitian ini menunjukan pada data awal persentase yang didapat sebesar 58% yaitu kurang. Setelah dilaksanakan in house training “Pengembangan Kompetensi Pedagogik Guru PAUD dalam Memanfaatkan Media Pembelajaran: Membuat Pohon Angka”, kompetensi guru mengalami peningkatan menjadi 66% yaitu cukup. Berdasarkan analisis data yang dilakukan pada penelitian ini bahwa in house training dapat meningkatkan kompetensi pedagogik guru dalam mendesain media pembelajaran. Mendesain media pembelajaran melalui in house training adalah salah satu pendekatan strategis untuk meningkatkan kompetensi guru, khususnya dalam memanfaatkan media pembelajaran secara efektif.
Kata Kunci: Kompetensi Pedagogik, In House Training, Media Pembelajaran.