bluuebunny/crossref_metadata_2025 huggingface dataset:
Resenha
Authors: Temporão Anna Carolina Velozo Nader
Published: February 2025

Em Ceticismo em Movimento, Renato Lessa examina o ceticismo filosófico como um fenômeno dinâmico, articulando suas tradições antigas, variações modernas e desdobramentos contemporâneos. A obra divide-se em três partes: na primeira, contrasta o pirronismo (focado na ataraxia via suspensão do juízo, epoché) com o ceticismo humeano, que associa a felicidade ao engajamento social e à aceitação das crenças como alicerce ético. A segunda parte analisa pensadores modernos como Montaigne, Bayle e Hume, destacando como expandiram o ceticismo para além da epistemologia, integrando-o à crítica política, à defesa da tolerância religiosa e à compreensão da ordem social como construção contingente. A terceira parte investiga questões contemporâneas, como o silêncio traumático do Holocausto, a relação entre formas de vida (Wittgenstein) e democracia, e o papel da filosofia política na imaginação de alternativas sociais. Lessa defende que o ceticismo, longe de ser uma postura passiva, é uma prática vital que desestabiliza dogmatismos, promove humildade intelectual e sustenta a coexistência plural, ancorando-se no fenomênico e rejeitando abstrações metafísicas. A obra posiciona-se como contribuição essencial para debates sobre ética, política e epistemologia, reafirmando a relevância do ceticismo como ferramenta crítica em um mundo marcado por incertezas.
Letter to the Church
Authors: Brouillard-Coyle Chris
Published: February 2025

What is pastoral leadership? How is, and can, pastoral leadership be embodied in the Church today? Who can and should participate in reflections on these questions? While engaging in a course on pastoral leadership, with the support of the professor, an idea arose to write a letter to the Church following the patterns of the Epistles in the Bible. The goal was to create something that could be read and studied by anyone, while ensuring that the academic rigour behind the contents was made available via the footnotes. The letter is intentionally written in the style of the Epistles, and references Biblical texts with quotations from the NRSV. It is hoped that those who read this letter might engage in further reflection on what it means to be Church today and how people of faith can be leaders in embodying our faith and transforming the world.
Implementation of Customary Law in Land Dispute Resolution in Indigenous Law Communities
Authors: Adila Arina , Alexandra Sallie
Published: February 2025

Land disputes within indigenous law communities remain a complex and evolving issue in Indonesia. Although customary law is recognized within the national legal framework, its implementation continues to face various challenges, including limited formal recognition and overlapping agrarian regulations. This study aims to analyze the effectiveness of customary law in resolving land disputes, compare it with national litigation mechanisms, and identify factors influencing its application. Employing both empirical and normative legal approaches, this research utilizes in-depth interviews, observations, and legal document analysis. The study sample includes customary leaders, agrarian officials, law enforcement officers, and disputing community members. Findings indicate that 75% of the 100 land dispute cases examined were successfully resolved through customary mechanisms, whereas only 30% of cases reached resolution through national litigation. Additionally, the average time required for dispute resolution under customary law was approximately four months, significantly shorter than the three to five years typically needed for litigation. Key factors supporting the effectiveness of customary law include the flexibility of deliberative mechanisms, high community compliance, and a restorative justice approach. However, the implementation of customary law still faces challenges regarding legal legitimacy, external interventions, and the lack of regulatory support to accommodate indigenous dispute resolution mechanisms. Therefore, more inclusive policies are needed to integrate customary law into the national legal system, creating a more effective and equitable dispute resolution framework
Criminalization of Online Gender-Based Violence (OGBV): Challenges and Solutions in Indonesian Criminal Law
Authors: Hukumu Sahrul , Syahrir Mukum , Lukum Abdul Fatah
Published: February 2025

Online Gender-Based Violence (OGBV) is an escalating phenomenon in Indonesia, driven by the advancement of digital technology, which enables perpetrators to commit various forms of gender-based violence through online platforms. Data from the National Commission on Violence Against Women (Komnas Perempuan) indicate a sharp rise in OGBV cases, from 1,200 cases in 2018 to 8,500 cases in 2023, suggesting that existing regulations remain insufficient in providing adequate protection for victims. This study aims to analyze the challenges in the criminalization of OGBV in Indonesia and to evaluate the effectiveness of existing regulations, particularly the Electronic Information and Transactions Law (UU ITE) and the Indonesian Penal Code (KUHP). A juridical approach with qualitative analysis is employed, incorporating an examination of current regulations, case studies of court rulings, and interviews with victims and law enforcement officials. The findings reveal that sanctions imposed on perpetrators remain relatively lenient, with only 18% of reported cases being processed by law enforcement, and less than 6% resulting in convictions. Furthermore, existing regulations do not comprehensively address the various forms of OGBV, making it challenging for victims to seek justice. This study underscores the necessity for a more specific and gender-sensitive revision of criminal law to enhance victim protection. The findings are expected to serve as a foundation for policymakers in formulating more effective regulations to combat OGBV in Indonesia.
Legal Issues in the Oversight and Enforcement of Advocate Professional Ethics in Indonesia
Authors: Rosdiana  , Arda Ravi , Yanti Desi
Published: February 2025

The oversight and enforcement of the advocate code of ethics in Indonesia continue to face various challenges, affecting the effectiveness of existing regulations. The number of ethical violations among advocates has increased significantly, rising from 120 cases in 2018 to 345 cases in 2023. The most common infractions include conflicts of interest, abuse of authority, and gratuities. One of the primary factors contributing to weak ethical enforcement is the current oversight system, which remains limited to advocate organizations without the involvement of an independent regulatory body. This study aims to analyze the effectiveness of advocate oversight mechanisms in Indonesia, compare them with best practices in other jurisdictions, and identify measures to enhance accountability and transparency in the legal profession. The research employs a normative legal method with a comparative law approach and empirical studies. The analysis includes an examination of existing regulations, case reports on ethical violations, and interviews with key stakeholders, including advocates, clients, and legal analysts. The findings indicate that only 40% of reported violations result in strict sanctions, while only 10% of advocates found guilty of ethical breaches face license revocation. Additionally, a survey of 500 respondents reveals that only 35% of the public is aware of the procedures for filing complaints against unethical advocates, highlighting a lack of transparency in the oversight system. This study contributes to the discourse by recommending the establishment of an independent regulatory body to monitor advocate compliance with ethical standards and the enhanced utilization of digital technology in the oversight system. With more transparent and accountable regulatory reforms, ethical violations within the legal profession can be minimized, ultimately strengthening public trust in Indonesia’s legal system.
Quantification of capillary rise dynamics in snow using neutron radiography
Authors: Lombardo Michael , Fees Amelie , Kaestner Anders , van Herwijnen Alec , Schweizer Jürg , Lehmann Peter
Published: February 2025

Abstract. Liquid water flow in snow is important for snow hydrology, remote sensing, and avalanche formation. Water flow in snow is often dominated by capillary effects, which are responsible for the formation of capillary barriers, capillary flow paths, and capillary rise. Unfortunately, there is little quantitative data on the capillary forces of snow, particularly with respect to capillary rise dynamics. Here, we present the results of 4 capillary rise experiments using neutron radiography. The experiments were performed in 13 x 13 x 1 cm3 glass columns with sand-snow and sand-gravel-snow layering mimicking the capillary forces at the soil-snow interface. Images were taken at 10 s to 15 s intervals with a pixel size of 92 μm. The experiments provided quantitative results of high resolution liquid water profiles, wetting front progression, flow rates, and parameterization of snow hydraulic properties. The experiments showed that the snow properties influenced the capillary rise height while the hydraulic properties of the transitional layer below the snow influenced the flow rates. Flow rates in all three layers were significantly below the expected saturated hydraulic conductivity values.
ASSESSMENT OF CHANGES IN MAJOR METEOROLOGICAL CHARACTERISTICS OF THE KHANTY-MANSI AUTONOMOUS OKRUG-YUGRA
Authors:   Izrael Institute of Global Climate and Ecology, BOGDANOVICH A.YU. , KARAVAEVA A.S. ,   Izrael Institute of Global Climate and Ecology,   Russian State Agrarian University-Moscow Timiryazev Agricultural Academy
Published: February 2025

Climate change in the Khanty-Mansi Autonomous Okrug-Yugra is a factor affecting the socioeconomic development of the region, as well as its ecological state. Being within the regions of the Far North and equated localities, the Khanty-Mansi Autonomous Okrug is among the most vulnerable subjects of the Russian Federation in Western Siberia (and the entire country) to climate change. Changes in major meteorological characteristics of the Khanty-Mansi Autonomous Okrug are estimated from the data of instrumental measurements over 1960-2021. The statistical analysis showed warming tendencies throughout the region, an increase in annual total precipitation, a decrease in wind speed, and some others trends. Changes in extreme values of air temperature, wind speed, and precipitation amounts are also analyzed. The statistical significance of the observed trends is assessed.
A LINK BETWEEN THE VARIABILITY OF ATMOSPHERIC CIRCULATION CHARACTERISTICS IN THE AZOV-BLACK SEA REGION AND THE INDICES OF THE MAIN MODES OF LARGE-SCALE ATMOSPHERIC CIRCULATION IN THE EURO-ATLANTIC SECTOR
Authors:   Kerch State Maritime Technological University, PANOV B.N. ,   Azov-Black Sea Branch, Russian Federal Research Institute of Fisheries and Oceanography, SPIRIDONOVA E.O. ,   Kerch State Maritime Technological University, KOCHERGIN A.T. ,   Azov-Black Sea Branch, Russian Federal Research Institute of Fisheries and Oceanography
Published: February 2025

The results of studying the variability of the NAO, EA, POL, EA/WR, and SCA indices characterizing the large-scale atmospheric circulation in the Atlantic-Eurasian sector and regional atmospheric circulation indicators (surface air pressure field expansion factors in the Azov-Black Sea region) over the period 1960-2021 are presented. A comparative analysis of the variability during 1960-1989 and 1990-2021 has been performed. It has been found that the large-scale and regional indices are statistically significantly connected in terms of seasonal, interannual, and long-term variability. Periods of the resonant and compensating influence of large-scale processes on the atmospheric circulation over the Black Sea and the Sea of Azov have been revealed. The intraannual variations in NAO, POL, and SCA in 1990-2021 were almost opposite to those in 1960-1989. The differences were particularly great in December-June. The seasonal trends in the regional indices were preserved, but there were changes in the values, which are especially significant in December-April.
La Coevolución en 'The Expanse': explorando la estética biológica en la ciencia ficción
Authors: Fraile-Narváez Marcelo
Published: February 2025

Este artículo explora la interacción entre biología, tecnología y cultura a través del análisis de la serie de ciencia ficción The Expanse. Basado en un marco teórico fundamentado en la coevolución tecnológica-biológica, inspirado en los planteamientos de Cornejo (2017), el estudio examina cómo las dinámicas adaptativas se manifiestan en un futuro interplanetario. A través de cinco ejes, se abordan temas como las desigualdades estructurales, la redefinición de la identidad humana y los límites éticos de la intervención tecnológica. La narrativa de The Expanse no solo ilustra estas tensiones, sino que también invita a reflexionar sobre los desafíos de un horizonte posthumano. Este enfoque permite comprender cómo la ciencia ficción articula críticas profundas sobre nuestra evolución biotecnológica.
Entre el laboratorio y la pampa. Nuevas configuraciones del espacio rural argentino en Breve historia del planeta verde (2019) de Santiago Loza y Trenque Lauquen (2022) de Laura Citarella
Authors: D'Alessandro Natalia , Gómez Antonio
Published: February 2025

Este artículo explora la representación cambiante de los espacios rurales en el cine argentino contemporáneo, enfocándose en dos películas: Breve historia del planeta verde (2019) de Santiago Loza y Trenque Lauquen (2022) de Laura Citarella. Estas películas se alejan de las representaciones tradicionales del campo argentino, presentando el entorno rural como un espacio benigno y comunal. Al examinar estas películas, la investigación busca descubrir cómo desafían las narrativas dominantes que separan los elementos humanos y no humanos y redefinen los espacios interiores y exteriores. El análisis profundiza en el diálogo entre las tradiciones literarias y cinematográficas argentinas y en cómo estas películas abordan los conflictos contemporáneos que afectan a las áreas rurales y a la humanidad. Breve historia del planeta verde sigue a tres amigos de toda la vida que regresan a su pueblo natal, destacando sus luchas personales y la mezcla de experiencias humanas y no humanas. De manera similar, Trenque Lauquen navega por las vidas entrelazadas de sus personajes en un entorno rural vulnerable pero acogedor. Este estudio ofrece una comprensión matizada de cómo estas películas reconfiguran los imaginarios rurales, enfatizando la solidaridad y la colaboración entre diversas formas de vida.
Radiografía de la consultoría medioambiental a la industria audiovisual en España, un sector emergente
Authors: Asenjo McCabe Susana , Herrero Bernal Begoña
Published: February 2025

La expansión a todos los ámbitos industriales y empresariales del eco management, esto es, la gestión de la ecoeficiencia y la sostenibilidad de las empresas para mitigar sus impactos  sobre el entorno natural, ha alcanzado al sector audiovisual. El Green Shooting, que describe el conjunto de medidas verdes implementadas en el proceso de generar un producto audiovisual, es uno de los fenómenos más innovadores que se están produciendo en este campo en España. Así, las empresas especializadas en consultoría ambiental audiovisual ofrecen soluciones de asesoría, capacitación y trámites relacionados con todos los asuntos en materia ambiental en todas las fases de producción audiovisual. El propósito de este estudio es investigar a fondo, mediante una metodología cuanti-cualitativa, la naturaleza de las empresas de consultoría medioambiental especializada en el sector audiovisual, dimensionar su volumen y analizar las razones detrás del significativo desarrollo que han vivido en los últimos años.
Yapay Zekâ Destekli Dil Öğretiminde Yeni Bir Yaklaşım: Türkçenin Yabancı Dil Olarak Öğretiminde Yapay zekâ Uygulamaları
Authors: Kaleli Ayşenur
Published: February 2025

Abstract
Artificial intelligence-based technologies are increasingly playing a significant role in foreign language teaching. This study examines how AI-supported applications are utilized in teaching Turkish as a foreign language. Specifically, AI-based language learning tools such as ChatGPT, Mondly, and Rosetta Stone, DeepSeek are analyzed in terms of grammatical accuracy, learner appropriateness, and alignment with instructional objectives. This research was conducted within the framework of the case study model. The study discusses the advantages and limitations of integrating such applications into language teaching processes and provides recommendations on how AI-based language education can be improved in the future.
Keywords: Artificial Intelligence, Language Teaching, Teaching Turkish as a Foreign Language, ChatGPT, DeepSeek, Mondly, Rosetta Stone
Social Impact Investing in the Insurance Industry
Authors: Edmiston Kelly , Fitzgerald Anna , Cho Patrick , Czajkowski Jeffrey
Published: February 2025

In our analysis, social impact investment involves pursuing strategies that create positive social outcomes specifically and are targeted to low- and moderate-income or other vulnerable or marginalized populations. These investments are also intended to generate an adequate financial return.

There are myriad factors for insurers to consider in making general fund and balance sheet investments. Among these are risk-adjusted return, liquidity, diversification, and duration matching. Increasingly, insurer-investors are also seeking social impact. Additional investment consideration in making social impact investments are flexibility around the intentionality of the investments, capacity to scale investments, and any trade-offs with traditional investment objectives.
A Study to Assess the Correlation between Internet Addiction and Daytime Sleepiness among Youth in a selected College at Kollam district
Authors: S Chikku , James Jiss , N Shahana , K S Aquilin , Sunny Akhila , Maria S Sonnet , Manoj Merlene , Thankachan Deepthy , K R Aneeta
Published: February 2025

A correlational study was done to assess the correlation between internet addiction and daytime sleepiness among youth in a selected college at Kollam District. The objectives were to assess the internet addiction among youth in selected college at Kollam district, to assess the daytime sleepiness among youth in a selected college at Kollam district, to find out the correlation between the internet addiction and daytime sleepiness among youth in a selected college at Kollam district. Conceptual framework used was health promotion model by Nola J. Pender. Quantitative research approach was selected with correlational prospective design. Study was conducted at Don Bosco College Kottiyam, with sample size of 60 based on non-probability convenience sampling technique. Tools contained two sections, section A: socio demographic data and section B: 2 five-point Likert scale. The data was analyzed using correlational statistics. The findings were 45% of the samples have moderate internet addiction and mild daytime sleepiness, 25% of the samples have moderate internet addiction and moderate day time sleepiness, 10% of the samples have mild internet addiction and moderate daytime sleepiness, 8.37% of the samples have mild internet addiction and mild daytime sleepiness, 6.67% of the samples have severe internet addiction and moderate daytime sleepiness, 3.34% of the samples have severe internet addiction and severe daytime sleepiness, 1.64% of the samples have severe internet addiction and mild daytime sleepiness. Hence according to Karl Pearson’s correlation coefficient, there is moderate positive correlation [0.418], between internet addiction and daytime sleepiness among youth.
A Study was Conducted to assess the Effectiveness of an Information Booklet on Knowledge regarding the Developmental Milestones of 0–5-year-old Children among Mothers in a selected area
Authors: Arali Vinodkumar , . S Muniyandi
Published: February 2025

The studies aim to evaluate the effectiveness of an information booklet on developmental milestones for 0–5-year-old children in selected community areas. The objectives include assessing pre-test knowledge, and post-test expertise, and evaluating its effectiveness. The study also aims to associate post-test knowledge scores with demographic variables.1 The hypothesis is that there will be no significant difference between pre-test and post-test knowledge scores and a significant association between post-test knowledge scores and their selected demographic variables2. This study used a pre-experimental, one-group pre-test post-test design to assess knowledge regarding the developmental milestones of 0–5-year-old children in a selected community area. A pilot study was conducted by administering questionnaires to six mothers fulfilling the sample criteria3. The distribution of mothers according to age, education, occupation, number of children, type of family, monthly family income (Rs), and previous knowledge was also examined. Most mothers had an average level of knowledge score, while 15% had a good level of knowledge score. The mean knowledge score in the pre-test was 10.71, and the mean percentage of knowledge score in the pre-test was 35.72. In the post-test 6.7% of mothers had good and 93.33% of them had very good levels of knowledge score. The minimum knowledge score in the post-test was 18, and the maximum knowledge score in the post-test was 24. The mean knowledge score in the post-test was 20.63, and the mean percentage of knowledge score in the post-test was 68.77. The association of knowledge score with age in years, educational level, occupation, number of children, type of family, monthly family income, and previous knowledge However, none of the demographic variables found were statistically associated with their post-test knowledge score. The findings of this study have implications for nursing practice, nursing education, nursing administration, and research. Nursing practice involves caring for people at different stages of development and understanding growth and development to recognize individual needs and provide appropriate care9. Nursing education focuses on monitoring each child's development to determine if a child's development is on track. Developmental milestones are important for understanding each child's development and behaviour, and developmental theories help nurses assess and treat a person's response to developmental challenges.10 In conclusion, this study provides valuable insights into the knowledge and skills of mothers about developmental milestones for 0–5-year-old children in selected community areas.
An Analytical Approach for Early Heart Disease Detection and Prevention Leveraging Machine Learning Techniques
Authors: Md Imran Alam
Published: February 2025

A global health issue caused by heart failure is long-term morbidity in most patients with the condition. These conditions should be identified as early as possible for a correct diagnosis, especially to enable proper therapeutic approach. This research aims to assess whether ML methods can develop an accurate first-stage diagnostic model in the detection of HF. On the basis of a set of clinical, demographic, and diagnostic data, various supervised learning methods were tested to predict heart failure for each patient. The mathematical foundation of this study includes the use of supervised learning models, each trained to approximate a mapping function f: X->Y, which are symbolized by the vectors X, to the outcomes Y, where Y = {0, 1}, where 0/1 is the absence/presence of heart failure. The diagnostic ability of models will determine their performance according to precision, an accuracy rate, recall, F1 score metric, and AUC-ROC. The main aim of this present study is therefore two folds; To establish how early the cardiac complications can be detected using different machine learning techniques so that preventive action can be taken. It aims at filling this gap through an evaluation of the literature to establish measures of handling imbalanced datasets. The accuracy of heart disease predictions improved with the implementation of seven machine learning techniques: Random forest, gradient boosting, logistic regression, decision tree, support vector machine (SVM), k-nearest neighbors (KNN), and Naive Bayes. In this work, a focus is given to the mathematical and computational aspects of machine learning methods in cases of early diagnosis and intervention of cardiac issues. It affords a sound support within the clinical settings for proactive and accurate healthcare involvement through the operationalization of predictive analytics into clinical decision making.
Web Application to Measure Box Volume for Warehouse and Logistics using ArUco Marker and Mobile Camera
Authors: Meenakshi Thalor
Published: February 2025

Effective space management poses a significant challenge for logistics firms and warehouses. To effective utilization of available space, time and money, logistics firms, warehouses and postal service providers are interested in volume measurement devices. The existing product for volume measurement is available for very high cost and their setup itself is not affordable to small scale businesses. Non-destructive measurement systems, which are primarily based on image processing methods, have become the trend in this field. This paper presents an affordable system which makes use of Mobile phone along with ArUco marker for calculation of volume of boxes and provide a solution to warehouses to optimize the space so maximum objects can be placed in limited area. The proposed system tested with various external disturbances and provides and accuracy of 96%. This system presented in this paper is not only handy, but also saves times, efforts required to measurement of volume and eliminate human error.
A New Approach to Natural Language Query Search using Frequency Analysis Techniques in Cloud Computing
Authors: Ninad More
Published: February 2025

Data outsourcing is the preferred act by owners of cloud data because of ease in maintenance. Data confidentiality of this outsourced sensitive data is a major task. Applying cryptographic techniques to outsourced data is the most secure way to achieve confidentiality. Searchable encryption techniques help in searching on encrypted data without actually decrypting it. These techniques limit the usefulness of data in the sense that searching encrypted data is difficult. With the increase in the volume of data, increases the size of indexing structure. This makes it more difficult to design cipher text based search scheme which facilitates reliable, memory efficient, fast retrieval on a huge volume of encrypted data. In this paper, keyword frequency based code method is presented to minimize the size of the index which makes fast retrieval of data inside a big data environment. The proposed system also supports secured, ranked retrieval using hash-based mapping structures. A hash-based technique efficiently retrieves the data using key-value pair data structure. The resulting system is able to handle queries which are written in natural language. Through extensive experiments using standard dataset, the performance of the system is validated. The system performance is evaluated and validated through extensive experimentation using standard dataset.  The results show that very less space for index storage is utilized by the system proposed in the paper which enhances the performance on the ground of the retrieval time.
Modeling the Dynamics of Culinary Tourism: Mathematical Insights into Trends and Socio-Economic Impacts
Authors: Adity
Published: February 2025

Culinary tourism has emerged as a significant driver of cultural exchange, economic growth, and destination branding worldwide. This study delves into the dynamics of culinary tourism, integrating mathematical modeling and statistical techniques to analyze trends and socio-economic impacts at both global and Indian levels. Using time-series analysis, regression models, and clustering algorithms, the research identifies critical patterns in the evolution of culinary tourism, highlighting variations across regions, consumer preferences, and the role of digital platforms in popularizing food experiences. Globally, culinary tourism has become a major contributor to GDP, employment, and cultural preservation, with countries leveraging their gastronomic heritage to attract international tourists. In India, the sector exhibits immense potential due to its diverse cuisines, regional flavors, and traditional culinary practices. The study assesses socio-economic impacts through key indicators such as income generation, workforce engagement, and rural development, showcasing the transformative role of culinary tourism in preserving intangible cultural heritage and fostering inclusive growth. This paper provides a comparative analysis of global best practices and India's progress in leveraging its culinary assets. It offers actionable insights for policymakers and stakeholders to optimize resource allocation, enhance destination marketing, and promote sustainable culinary tourism strategies. The findings emphasize the need for global collaboration and innovation to maximize the sector's potential while ensuring equitable socio-economic benefits.
The Effects of Type I Collagen Hydrolysate Supplementation on Bones, Muscles, and Joints: A Systematic Review
Authors: Brueckheimer Paula Janzen , Costa Silva Tales , Rodrigues Leonardo , Zague Vivian , Isaia Filho Carlos
Published: February 2025

Introduction

Musculoskeletal discomfort is prevalent in primary care, with conditions such as osteoarthritis and osteoporosis being significant contributors. Collagen, particularly type I, is a major structural protein found in connective tissues. The supplementation of type I hydrolyzed collagen has been investigated for its potential benefits in musculoskeletal health.

Objective

This systematic review aims to evaluate the current literature on the effects of type I hydrolyzed collagen supplementation on bones, muscles, and joints.

Methods

A systematic search was conducted in August 2024 using four electronic databases - PubMed, Scopus, EMBASE, and CINAHL. The inclusion criteria were randomized controlled trials (RCTs) and systematic reviews evaluating oral supplementation with type I hydrolyzed collagen. Exclusion criteria were pre-clinical studies, experimental studies, studies not focusing on type I hydrolyzed collagen, studies with beauty-related endpoints, studies that combined collagen with other ingredients, and unblinded, nonrandomized, and uncontrolled trials.

Results

Out of 4,246 articles screened, 36 RCTs met the inclusion criteria. The study protocols varied in population, health conditions, and study duration. Studies focused on bone health faced limitations that prevent definitive conclusions about the effects of collagen supplementation. In contrast, studies on joint health reported beneficial outcomes, such as pain reduction, improvements in clinical parameters, increased physical mobility, and enhanced ankle function. The muscle health studies were inconsistent, with positive effects predominantly observed when supplementation was associated with physical exercise.

Conclusion

Collagen supplementation demonstrates promising results. However, heterogeneity among studies limits the generalizability of findings. Future research should prioritize standardized protocols and consistent outcome measures.
Comparison of the Effects of Platelet Rich Fibrin and Platelet Rich Plasma on Experimentally Induced Tendon Injury in Rabbits Treated with Methylprednisolone
Authors: Erol Muharrem , Ceylan Cengiz , Usta Mustafa , Sargın Serdar , Karaman Musa , Ilhan Fatma , Akyol Eyup Tolga
Published: February 2025

The aim of this study is to compare the effects of PRP and PRF on tendon injuries treated with  methylprednisolone. In this context, the histopathological and immunohistochemical effects of PRP and PRF on tendon healing were evaluated. The study included 30 New Zealand rabbits (15 females and 15 males) with varying weights (1.5-3 kg) and ages (1-3 years). The experimental groups were designated as the steroid control group (Group B, n=10), the steroid+PRP group (Group C, n=10), and the steroid+PRF group (Group D, n=10). Additionally, the control tissues from a simultaneous study served as the empty control group (Group A). On the 14th postoperative day, a section encompassing the tenotomy site was excised from the area via incision. Healing was observed to be better in Groups C and D compared to Groups A and B. In Group A, inflammatory cell infiltration, primarily consisting of macrophages and polymorphonuclear leukocytes, along with a small number of lymphocytes and foreign-body giant cells, was higher than in all other groups. Group B exhibited less inflammatory cell infiltration compared to Group A. Additionally, hyperemia, hemorrhage, necrosis, new vessel formation, and fibroblasts of varying shapes and orientations were noted in Groups A and B. In contrast, cell infiltration was significantly lower in Groups C and D, while vascularization, fibroblast activity, and collagen density were higher. Collagen fibers were observed more regular bundles forms in Groups C and D compared to the control groups. The findings suggest that the combination of PRP or PRF with systemic methylprednisolone can effectively enhance tendon healing by modulating inflammatory responses, reducing adhesions, and supporting the formation of a well-organized extracellular matrix.
CD56, CD68 positive double hit, diffuse large B-cell/high-grade B-cell lymphoma with rearrangement of MYC and BCL2 genes
Authors: Andrews Jared , Long Thomas , Long Thomas
Published: February 2025

Introduction: This is a report of diffuse large B-cell/high-grade B-cell lymphoma (DLBCL/HGBL)-MYC/BCL2 with CD56 and CD68 immunoreactivity, pseudopapillary architecture, and pleomorphic nuclei with multinucleation arising in the nasal cavity. This combination of features makes this a highly unusual case that contributes to our understanding of rare histopathologic and immunophenotypic features in DLBCL.

Case Report: A 64-year-old male has been diagnosed with double-hit, diffuse large B-cell lymphoma (DLBCL). Pathological examination revealed large, variably multinucleated anaplastic cells with multilobulated nuclei surrounding a vascular core and exhibiting a pseudopapillary growth pattern, all set against reactive lymphocytes and histiocytes. Further studies showed the tumor’s positivity for CD56 and CD68, along with other positive immunohistochemical (IHC) markers.

Conclusion: Additional investigations could contribute to understanding the clinical, prognostic, and diagnostic significance of unusual pathologic features in DLBCL and its subtypes.
The impact of using the digital educational games blog on enhancing mathematical concepts among sixth-grade students in Jordan
Authors: Al-Nawaiseh Sabah Jamil
Published: February 2025

This study aimed to investigate the impact of using the educational games blog on developing mathematical concepts among sixth-grade students in Jordan. To conduct the research experiment, the researcher followed a quasi-experimental design with pre-tests and post-tests for two experimental and control groups. The study included 50 intentionally selected students from the third grade, distributed into two groups: Group A represented the experimental group consisting of 25 students who were taught using the digital educational games blog, while Group B represented the control group consisting of 25 students taught using conventional methods. The study tool was a test for acquiring mathematical concepts, and its validity and reliability were ensured. The results showed a statistically significant impact on the acquisition of mathematical concepts test in favor of the experimental group (F = 8.13, p = 0.00, η² = 0.39), indicating that the teaching method using the digital educational games blog was more effective than traditional methods, which was attributed to the teaching method using the educational digital game. Based on the results, by integrating these games into the curriculum, students can be motivated to learn innovatively, improving their academic performance. The study recommends using digital educational games in the educational learning process, especially in mathematics, due to their clear positive impact on acquiring and understanding mathematical concepts among sixth-grade students.
Ecological assessment of the environmental state in the area of Polymetal waste storage in the Southern of Kazakhstan
Authors: Pernebayev Zhaksylyk , Issayeva Akmaral , Bekbenova Aigerym , Nauanova Ainash , Tleukeyeva Assel
Published: February 2025

The territory of Kazakhstan is rich in various minerals, which, unfortunately, during Soviet times were developed only for 1-2 components. The result of this attitude towards natural resources was the emergence of “man-made” deposits from the formed and stored waste of the mining and metallurgical complex. Due to erosion processes, waste storage sites have become sources of negative impact on the environment. The purpose of this study was to conduct an environmental assessment of the state of the environment in the area where polymetallic waste is stored in the south of Kazakhstan. An assessment of the ecological state of polymetallic waste revealed the presence of a number of toxic components that negatively affect the decrease in the biodiversity of microflora, represented only by the genera Thiobacillus, Pseudomonas, Penicillium, and Aspergillus in an amount of 10.0 CFU/g. It has been established that the projective cover and species diversity of phytocenoses of dumps and technosoils are in a correlative relationship with the distance to the storage site of polymetallic waste. Toxicotolerant species of native flora, Dodartia orientalis L. and Capparis spinosa L., were identified, growing in single copies on the surface of toxic waste. As the distance from toxic waste heaps increases, phytocenoses become enriched with species of Poaceae, Asteraceae, Polygonaceae, and Fabaceae. A complete absence of representatives of lumbric fauna was revealed in the residential area, which were found only sporadically 5.0±0.5 km from waste heaps. A negative impact of polymetallic waste on the health of the population of various age groups in a nearby village was noted, with a predominance of respiratory diseases, metabolic, and digestive disorders.
Building resilience: Tackling socioeconomic vulnerability in Kazakhstan's communities
Authors: Baizakova Zabira , Sakenova Saliya , Baigabylov Nurlan , Kudabekov Medet
Published: February 2025

This study explores resilience as a counterbalance to socioeconomic vulnerability in Kazakhstan, emphasizing both macro- and micro-level factors that shape the capacity of individuals and communities to adapt to adversity. At the macro level, the research examines systemic structures, including employment policies, income distribution, environmental equity, and the adequacy of social infrastructure. At the micro level, it analyzes individual and community capacities, such as access to education, social networks, and psychological well-being. Employing a mixed-methods approach, the study integrates quantitative data from 2,900 respondents across five regions of Kazakhstan with qualitative insights from focus group discussions involving policymakers, social workers, and community leaders. Findings reveal critical challenges, including financial insufficiency of social benefits, limited access to assistance, housing insecurity, and employment barriers for caregivers and people with disabilities. These structural vulnerabilities are compounded by inflation and systemic inequalities, limiting the resilience of vulnerable populations. However, the study highlights key resilience-building mechanisms, such as flexible employment options, indexed social benefits, improved rural infrastructure, and community-based support systems. Policy recommendations focus on creating a national resilience strategy that integrates macro- and micro-level interventions, fosters equitable opportunities, and enhances individual and collective capacities to thrive. These findings contribute to global discussions on resilience and vulnerability reduction and offer practical insights for policymakers.
Minibuses during rush hour and impact on Peruvian Andean university loyalty
Authors: Norabuena-Mendoza Cesar Hernan , Zarzosa-Marquez Eva Delfina , Chunga-Anton Carlos Humberto , Figueroa-Quito Silvia Isabel , Trujillo-Navarro Nathaly Luisa
Published: February 2025

This study analyzes the impact of the minibus service during peak hours on the loyalty of Andean university students in Peru, considering public transportation as an essential link between rural and urban communities. The aim is to understand how service quality influences student loyalty and to identify key areas for improvement. From a quantitative approach and with a cross-sectional design, data were collected from 255 university students in Huaraz using a questionnaire based on the SERVQUAL model and the Net Promoter Score (NPS), evaluating dimensions such as security, empathy, and tangible aspects through a Likert scale. For data analysis, the PLUM procedure (ordinal logistic regression - OLR) was employed, allowing the examination of the relationship between service quality and student loyalty. The results indicate that service quality has a significant impact on student loyalty, with safety being the most determining dimension. Deficiencies are identified in sensitivity towards cultural identity and inclusion in treatment, aspects that negatively affect the perception of the service. These areas of opportunity highlight the need for improvements in accessibility and safety to enhance the user experience. The study emphasizes the importance of implementing strategies that promote safer, more accessible, and inclusive public transportation. Safety emerges as a key factor for student loyalty, highlighting the urgency of policies that improve the perception and experience of the service. In practical terms, the findings suggest that collaboration between local governments, transportation companies, universities, and the police is essential to ensure the safety and accessibility of transportation during peak hours. Likewise, promoting an inclusive and quality service can contribute to student loyalty, strengthen social cohesion, and ensure equitable access to education in the Andean regions.
Role of artificial intelligence in human resource to achieve sustainable organizational performance
Authors: Al-Ayed Sura
Published: February 2025

This study explores the impact of artificial intelligence (AI) on human resource management (HRM) practices and organizational performance. It aims to examine the role of AI-driven HR constructs, including artificial intelligence in human resources, strategic HRM, and technological competence, in enhancing sustainable organizational performance. A cross-sectional study design was adopted, and data were collected from 366 respondents using a convenience sampling technique. Path analysis was employed to investigate the relationships between AI-driven HR constructs and organizational performance. The study provides empirical insights into the role of AI in transforming HRM practices. The results indicate significant positive relationships between artificial intelligence in human resources, strategic HRM, technological competence, and sustainable organizational performance. The study highlights the transformative potential of AI in HRM, emphasizing the need for organizations to develop technological competence among employees to maximize AI’s benefits. The findings reinforce the strategic importance of AI integration in HRM, demonstrating its role in driving innovation, efficiency, and sustainable growth. AI-driven HRM enhances decision-making, workforce capabilities, and long-term organizational success in the digital era. This study provides valuable insights for organizations seeking to integrate AI into HRM practices. It underscores the necessity of strategic HR management and technological expertise to leverage AI’s full potential, ensuring sustainable organizational performance and competitive advantage.
Impact of digital transformation on sustainable performance of ICT enterprises in Vietnam
Authors: Thuy Mai Thanh , Duc Dang Thi Viet , Dang Tri-Quan , Hung Nguyen Tien
Published: February 2025

The article explores the impact of digital transformation on enterprises' sustainable performance in all three economic, social, and environmental aspects, as well as the mediating role of innovation in the context of developing countries. The study uses the PLS-SEM model to analyze data collected from surveying 254 enterprises in Vietnam's information and communication technology (ICT) field. The research results show that the direct impact of digital transformation on sustainable performance is positive, though not strong. However, through innovation, the indirect effect is substantial. Thus, the study confirms the mediating role of innovation in bridging the relationship. The study also highlights the role of digital skills and strategy in successfully implementing digital transformation. In contrast, the influence of digital technology and government support in ICT enterprises is limited. The sample of the responding companies is limited to enterprises from the ICT field. In addition, this study has not mentioned several other elements that affect digital transformation. The study offers practical implications for business leaders in prioritizing training employees' digital skills and innovating strategies for organizations to achieve effective digital transformation and sustainable performance. The study suggests that enterprises and governments support digital transformation to develop sustainable businesses. Theoretically, the study contributes to the addition of empirical evidence on the impact of digital transformation through innovation on enterprises' sustainability, thereby opening up future research directions.
What drives satisfaction? Assessing field training in bachelor’s social work programs
Authors: Ghaboush Reham Abu , Atieh Nesreen Nabil , Tarawneh Haya Hussein , Alhur Mohammad , Anabtawi Manal Fathi
Published: February 2025

Social work is a humanitarian profession that intersects with a variety of fields. It focuses on supporting individuals through the effective utilization of resources and the recognition of their potential. To practice effectively, social workers require substantial professional development, which includes extensive field training. This training is crucial as it allows them to apply theoretical knowledge in real-world settings while acquiring essential skills. Governments increasingly acknowledge the importance of field training in educating social workers. This study presents a unique contribution to the field of social work education by evaluating the impact of field training quality on student satisfaction among bachelor's students at the University of Jordan. To achieve this, a quantitative methodology was employed, surveying 137 bachelor students during the academic year of 2023/2024. The data were analyzed using Structural Equation Modeling (SEM). The findings highlight that factors such as assurance, tangibles, and responsiveness significantly influence student satisfaction with the field training program. Conversely, reliability and empathy did not significantly impact, suggesting a disconnect between what students expect and what is delivered. The structural model accounts for approximately one-third of the variation in satisfaction, underscoring the necessity to enhance service quality factors to improve the effectiveness of field training programs.