bluuebunny/crossref_metadata_2025 huggingface dataset:
Bir Okuduğunu Anlama Problemi Olarak Papağan Okurluk
Authors: Garip Rüveyda Nur , Karadağ Özay
Published: October 2024

Akıcı okuyan fakat okuduğunu yeterli düzeyde anlamayan öğrenciler papağan okurlardır. Bu çalışmada papağan okur olan öğrencilerin akıcı okurların içindeki oranlarının tespit edilmesi amaçlanmıştır. Çalışmada nicel araştırma yöntemlerinden tarama çalışması deseni kullanılmıştır. Öğrencilerin akıcı okurluk durumları doğruluk, hız ve prozodi puanları hesaplanarak; okuduğunu anlama durumları ise okuduğunu anlama soruları aracılığıyla belirlenmiştir. Öğrencilerin akıcı okuma ve okuduğunu anlama durumlarından hareketle akıcı okurların içindeki papağan okur oranları belirlenmiştir. Öğrenci doğru, hızlı ve prozodik biçimde okuyor fakat okuduğunu anlamıyorsa papağan okur olarak değerlendirilmiştir. Verilerin analizinde Office365 programından yararlanılmıştır. Çalışma grubunu 2022-2023 eğitim öğretim yılında İstanbul’da bulunan bir ilkokulda eğitim gören 311 gönüllü 2, 3 ve 4. sınıf öğrencisi oluşturmaktadır. Her sınıf düzeyinde akıcı okurların en az %32,84’ünün papağan okur olduğu tespit edilmiştir. Papağan okurlara en çok ikinci sınıfta (%80,64), en az üçüncü (%32,84) sınıfta rastlanmıştır.
A Comprehensive Review on AI-Driven Healthcare Transformation
Authors:   Vignan’s Foundation for Science, Technology & Research, Balakrishna Sivadi , Kumar Solanki Vijender ,   CMR  Institute  of  Technology
Published: October 2024

Introduction: In the dynamic landscape of healthcare, the intersection of cutting-edge technology and patient-centric solutions has sparked a paradigm shift, and at the forefront of this transformative wave is Artificial Intelligence (AI). Problem: Focusing on the multifaceted integration of AI technologies, the narrative explores their pivotal role in enhancing patient outcomes. Objective: This paper delves into the dynamic realm of healthcare transformation over the strategic exploitation of artificial intelligence (AI). Methodology: This paper explores the profound impact of AI on healthcare, examining the current state of the field and envisioning its future. From machine learning algorithms for early disease detection to personalized treatment plans, the paper delves into the diverse applications of AI in healthcare and the potential it holds for revolutionizing the entire ecosystem. From customized treatment strategies to streamlined healthcare processes, the paper unravels the diverse ways AI is reshaping the healthcare landscape. Results: The imperative to improve patient outcomes, characterized by enhanced efficiency, precision, and personalized care, finds a promising ally in AI. The paper has illuminated how AI technologies, including machine learning and advanced analytics, offer tangible solutions to longstanding challenges in diagnostics, treatment planning, and patient engagement. Conclusions: A comprehensive examination of emerging trends illuminates the potential for substantial improvements in patient well-being facilitated by the synergistic partnership of AI and healthcare practices. Originality: The exploration of AI’s applications throughout this paper underscores its transformative potential in reshaping traditional healthcare practices. Restrictions: The prospect of continually improving patient outcomes through innovative technologies remains at the forefront of this transformation.
Rastros RostrosArtículo de Investigación. https://doi.org/10.16925/2382-4921.2024.02.01 1 Artículo de investigación del proyecto: “Análisis sectorial de la influencia del clima esco- lar en la formación del liderazgo como rasgo de personalidad en instituciones educati- vas del caribe colombiano”, de la institución Homework Latam, Equipo de Investigación de Estudios Sectoriales (EIES). 2 Doctorante en Educación. Universidad Arturo Prat, Chile. Rector Institución Educativa El Pedral. Puerto Wilches, Santander. Correo electrónico: leonardoprada@hotmail.com ORCID: https://orcid.org/0009-0000-5546-5698 Influencia del clima escolar en la formación del liderazgo como rasgo de personalidad en estudiantes de secundaria
Authors:   Institución Educativa El Pedral, Prada Martínez Leonardo
Published: October 2024

Introducción: el entorno escolar influye significativamente en la formación de rasgos de la personalidad del estudiantado en la básica secundaria, como parte del proceso de formación integral promovido desde la política pública educativa, encontrándose en la literatura el liderazgo como variable de interés para la promoción de futuros líderes sociales. Objetivo: analizar la influencia del clima escolar en la formación del liderazgo como rasgo de personalidad en estudiantes de secundaria de una institución educativa de Cartagena de Indias (Colombia). Metodología: esta investigación se basa en un enfoque cuantitativo y utiliza un diseño no experimental de alcance explicativo, contando con la participación de 192 estudiantes de la básica secundaria de una institución educativa pública de Cartagena, a quienes se les aplicó el Dweck Mindset Instrument para medir el liderazgo de los participantes. Resultados y discusión: no se encontraron diferencias significativas por género, ser hijo único, ubicación familiar, migración o abandono (p=0.76). Sin embargo, se hallaron correlaciones significativas entre el grado, la edad y el estatus económico familiar y los patrones de liderazgo (p=0.000). Se evidenció que el compañerismo y el entorno normativo institucional actúan como mediadores entre el clima escolar y el liderazgo como rasgo de personalidad del estudiantado. Además, se observaron diferencias significativas en los patrones de liderazgo según la edad, grado de escolaridad y situación económica familiar (p=0.002). Un análisis adicional mostró que los estudiantes de sexto grado exhiben un nivel de liderazgo significativamente superior a los de 7º, 8º y 9º grado y, en general, el nivel de liderazgo tendió a disminuir con el aumento del grado. Conclusiones: con base en el contexto escolar colombiano, este estudio tiene implicaciones prácticas para mejorar el liderazgo como rasgo de personalidad de los estudiantes de secundaria, teniendo en cuenta que este período escolar es crítico en el desarrollo de la identidad propia de los estudiantes, que puede verse fácilmente influenciado por factores situacionales.
Diseño de exámenes con integración de organizadores gráficos basados en la taxonomía de la era digital
Authors:   Universidad de Baja California, Amorocho Abril Esmer Leonel
Published: October 2024

Introducción: la asignatura de Tecnología Informática (TI) ha estado sujeta a cambios en la política pública y no ha sido bien comprendida en su diseño, implementación y evaluación, lo que plantea preocupaciones sobre la falta de criterios estandarizados para la evaluación de los aprendizajes en ti en estudiantes de educación media. Objetivo: diseñar exámenes efectivos con la integración de organizadores gráficos basados en la taxonomía digital y un modelo psicométrico en la Educación Media de una Institución Educativa del municipio de Piedecuesta, Colombia. Metodología: se adoptó un enfoque cuantitativo y un diseño cuasiexperimental, dividiendo a 218 estudiantes participantes en grupos control y experimental. Los tratamientos incluyeron secuencias didácticas en educación en ti, seguidas de pruebas electrónicas para evaluar los aprendizajes. La recolección de datos se realiza mediante la plataforma Limesurvey y se utilizó análisis de matrices de datos dicotómicos con diversos organizadores gráficos. Se construyeron reactivos siguiendo una nueva taxonomía y se evaluaron sus características psicométricas, adaptándolos según los resultados observados por grupos. La calibración de reactivos se efectuó con el modelo Rash. Resultados y discusión: los contrastes de muestras revelaron que, en general, no hay diferencias significativas entre grupos experimentales y de control, excepto en un experimento que requiere calibración adicional del modelo. La calibración por reactivos de Rash, utilizando software como MiniStep, mostró ajustes adecuados en estadísticos INFIT y OUTFIT, indicando buen ajuste al modelo. Conclusiones: la implementación de pruebas electrónicas con organizadores gráficos en la Educación Media es efectiva para mejorar la evaluación en Tecnología Informática, respaldada por percepciones positivas de los estudiantes. Esta metodología facilita la evaluación del aprendizaje, proporciona resultados estandarizados y confiables, permitiendo un seguimiento preciso de los procesos de aprendizaje en la asignatura de TI.
Validation of the Russian-language version of the Adolescent Computer Games Addiction Assessment Questionnaire (Game Addiction Scale for Adolescents)
Authors:   Research Institute for Medical Problems in the North, RIMPN, Tereshchenk S.Y. , Gorbacheva N.N. ,   Research Institute for Medical Problems in the North, RIMPN
Published: October 2024

With the rapid growth of the video game industry and the increasing availability of online gaming worldwide, problematic gaming behaviors are on the rise, with significant psychosocial and somatic consequences. The aim of this study was to translate and validate the Russian version of the Game Addiction Scale for Adolescents (GASA), a brief 7-item psychometric instrument to identify addiction to computer games in adolescents. Methods. The GASA questionnaire was translated into Russian and tested on a sample of 2380 adolescents ages 11- 19 from schools in Krasnoyarsk. Internal consistency, factor structure, and concurrent validity of the GASA-RU were examined using exploratory factor analysis, confirmatory factor analysis, and relationships with the Chen Internet Addiction Scale (CIAS) and the Strengths and Difficulties Questionnaire (SDQ). Retest reliability at 6-month intervals was also assessed. Results. The GASA-RU questionnaire demonstrated good internal consistency (Cronbach's alpha = 0.81) and retest reliability (Spearman correlation coefficient = 0.56; p. Confirmatory factor analysis confirmed the single-factor structure of the questionnaire, consistent with its theoretical model: χ2 - 373 (df=14; p. Significant positive correlations were found between the scores of the GASA-RU and CIAS questionnaires and the different subscales of the SDQ questionnaire, indicating good external validity. The prevalence of game addiction was 10.9% (16.2% among boys and 6.3% among girls). Conclusion. The Russian-language version of the GASA questionnaire demonstrated adequate reliability and validity comparable to the original scale. The GASA-RU questionnaire appears to be a useful brief screening tool to assess the risk of computer game addiction in different populations of Russian-speaking adolescents.
Mental regulation of the dynamics of mental states in professional activities (using the example of specialists in helping professions)
Authors:   Kazan Federal University, Prokhorov A.O. , Artishcheva L.V. ,   Kazan Federal University
Published: October 2024

The study of mental regulation of the dynamics of mental states in professional activity is significant for understanding the mechanisms and patterns of self-regulation of mental states in various work situations, the role of mental structures in dynamic changes in mental states experienced during the performance of professional tasks. Target. To characterize the condition of self-regulation of mental states by mental structures in professional activity, to identify patterns of dynamics of mental regulation. Methods. Content analysis, frequency, correlation, regression analyses, structural and factor analyzes of data. Sample. The study involved 53 female helping professionals, ages 23 to 45 years. Results. Typical mental states in professional activity (calmness, concentration, activity, fatigue) were identified. Changes in the correlation structure of mental regulation of mental states in the current and long-term time intervals (daily and weekly dynamics) were described: by the end of the working day, the connection of mental states with mental structures and characteristics of self-regulation rebuilt itself, due to changes in the content characteristics of states. In the current and long-term time intervals, the largest number of correlations occurred in the middle of the working week. It was revealed that experience as a structure of consciousness is leading in the mental regulation of mental states at the end of the working day and at the end of the working week. Regression and factor analyzes demonstrated that experience, coupled with self-regulation, semantic characteristics and reflection, have the greatest influence on mental states in professional activity, determining their dynamics. Conclusions. The influence of mental structures on the dynamics of mental states in professional activity at different time periods of the day and week was shown. The specificity of mental regulation has been established depending on the time of the subject’s activity. Temporal features of the functional structure “mental states - self-regulation - mental structures” were discovered. The leading factors of mental regulation of mental states were identified: experience, self-regulation, semantic structures, reflection.
On the unforgeability of the Chaum - Pedersen blind signature scheme
Authors:   LLC ", Akhmetzyanova Liliya R. ,   Crypto-Pro", Babueva Alexandra A. ,   LLC "Crypto-Pro"
Published: October 2024

The paper is devoted to the analysis of the unforgeability property of the Chaum - Pedersen blind signature scheme in case an adversary is able to initiate parallel sessions of the signature generation protocol. It is shown that the scheme does not ensure strong unforgeability, i.e., it allows to create the forgeries for “old” messages that were legitimately signed. An analysis of the weak unforgeability property (the adversary’s task is to create a forgery for a new message) is also conducted. Using the reduction method, we obtain a security bound on the weak unforgeability property in the algebraic group model and random oracle model. This estimation identifies the base problems whose complexity underpins the scheme security.
Construction of quasi-cyclic alternant codes and their application in code-based cryptography
Authors:   Immanuel Kant Baltic Federal University, Kuninets Artem A. , Malygina Ekaterina S. ,   HSE University
Published: October 2024

The paper presents an overview of quasi-cyclic alternant codes and their structural analysis regarding the classification of automorphisms. We also have detailed methods for recovering the structure of a given code. The attractiveness of the family of considered codes lies in their cryptographic applications and, as in theory, in reducing the key length of post-quantum code-based schemes. In addition, this method of constructing codes is universal and can be used to obtain subfield subcodes of quasicyclic algebraic-geometric codes associated with an arbitrary curve with a known group of automorphisms. However, as a result of constructing quasi-cyclic alternant codes, it becomes possible to reduce the key security of the source code to a code with smaller parameters, which may not be resistant to a structural attack.
On a structure of voting procedures weights space
Authors:   Moscow State University of Technology and Management named after K.G. Razumovsky, Ivanov Sergey K.
Published: October 2024

The structure of the self-dual threshold functions space of weights used in voting decision-making procedures has been studied for dimensions 2-6. Extremal vectors of polyhedral cones representing these threshold functions in the space of weights have been found.
National self-identification of the emigrant hero in the emigrant prose of Georgy Ivanov and Henry Miller. Article Two: The crisis of creative self-realization
Authors:   Tomsk State University, Nazarenko Ivan I.
Published: October 2024

The author compares the American prose writer Henry Miller’s novel Tropic of Cancer (1934) and the Russian poet Georgy Ivanov’s story Disintegration of the Atom (1938). The aim of the article is to compare the plot situations of the emigrant heroes’ self-identification in the aspect of the manifestation of their national and cultural identity in order to understand how the problem of national self-identification of a person of the modern era in emigration is aggravated. The second part of the article draws attention to the collision of creativity and the interpretation of art (literature) by the central characters. It is concluded that Miller and Ivanov agree on the idea of the crisis of culture and the dying of art in the situation of modernity. In the story of a hero, an aspiring writer, Miller shows the transformation of avant-garde ideas and the conformism of a contemporary artist. Miller’s central character appears as a spiritually integral person, capable of creative realization and capable of challenging a civilization stricken with cancer. Ivanov depicts a creatively sterile man-“atom”, unable to overcome the existential impasse in the crisis of modern civilization. Although in both works the heroes assert the highest value not of art, but of real life, sensuality, bodily passion, Ivanov’s hero cannot accept life and renounces it unlike Miller’s hero, who accepts himself and the world. The novel Tropic of Cancer is interesting in the aspect of imagology: it shows a number of images of Russian emigrants as perceived by an American hero. This is an American “view” of the Russian emigrant, different from the automyth of Russian emigrant writers (Georgy Ivanov). Geographically, Miller sees Russia as the most distant part of Europe. The dominant feature of Russians in Tropic of Cancer is irrationality (“crazy Russians”), but Miller, unlike Ivanov, captures both the pragmatism and conformism of Russian emigrants. The emigrant writer Boris, on the one hand, appears as a type of a European avant-garde artist; on the other hand, Russian roots are manifested in his aesthetics and attitude to the world. Boris turns out to be similar to the hero of Ivanov’s story, a creatively sterile person, immersed in the world of ideas, the break with which reflects the creative growth of the hero of Miller’s novel. A skeptical assessment of Russian idealism brings Miller and Ivanov closer together. The author declares no conflicts of interests.
Una aproximación al perfil del profesorado de español como lengua extranjera en línea
Authors: Méndez Santos María del Carmen , Pano Alamán Ana
Published: October 2024

This paper presents the results of an ongoing research, whose objective is to outline the profile of online teachers of Spanish as a foreign language (SFL). The analysis carried out relies on quantitative and qualitative data collected through an online questionnaire that was distributed through social networks (Facebook and Twitter), discussion forums and distribution lists about SFL. Despite the limitations of the sample, the results provide a picture of the profile under study and confirm that this group of professionals is largely configured by females, between 35 and 45 years old, that choose the online and distance teaching modality in combination with face-to-face courses, due to the flexibility that it implies in terms of time and space management. Data also indicate that this modality requires adopting new strategies in order to promote one-self on the Net and get a large number of students. Moreover, there is a need to reflect about providing adequate training and adapted materials for these professionals.
Improved Graph Convolutional Neural Networks-based Cellular Network Fault Diagnosis
Authors: Gao Zongzhen , Liu Wenlai
Published: October 2024

To solve the problem of upstream and downlink interference in cellular networks, a graph convolutional neural networks-based novel fault diagnosis method for semi-supervised cellular networks is proposed. The method designed in this study uses extremal gradient enhancement to select the optimal feature subset, and uses graph convolutional neural network to extract the fault depth feature. At the same time, the knowledge data fusion technology is raised to expand the training data of the fault diagnosis model. This technology utilizes Naive Bayes models for pre-diagnosis and enhances graph convolutional neural networks to control the influence of pre-diagnosis outcomes and training dataset size on model training accuracy. In the experiment, the fault diagnosis accuracy and efficiency of the raised method are better than those of the traditional network fault diagnosis methods. This algorithm can diagnose faults in complex cellular network environment, which has high accuracy and practicability, and can effectively improve user experience.
COPULA OF BERNSTEIN AND DEGREE OF DISCORDANCE
Authors: LOYARA Vini Yves Bernadin , OUOBA Fabrice , BAGRE Remi Guillaume
Published: October 2024

The analytical expression for the degree of multivariate discordance in probability has a high level of mathematical elegance. This is why we were interested in the degree of discrepancy. In addition, while working on this expression, an application to the Bernstein copula appeared more accessible. We therefore modeled the expression for the Bernstein copula and the degree of discordance.
THE IMPACT OF AGENCY COSTS ON FIRM PERFORMANCE: EMPIRICAL EVIDENCE FROM REAL ESTATE COMPANIES LISTED ON VIETNAM STOCK EXCHANGE
Authors: Linh Bui Thi Ha , Tu Dam Thanh
Published: October 2024

Agency costs are a crucial aspect of corporate governance, with various perspectives and existing measurement methods. Many empirical studies have highlighted that asset turnover and the ratios of general, administrative, and sales expenses to total revenue are commonly used metrics to evaluate agency costs within firms. To quantify the impact of agency costs on the firm performance of listed real estate companies in Vietnam, this study uses panel data regression to determine the impact of agency costs on the firm performance of real estate companies listed on the Vietnam Stock Exchange from 2013 to 2022, encompassing 590 observations. We use panel data regression with fixed effects model (FEM) or random effects model (REM), depending on the relevance of the models. We also exploit feasible generalized least squares (FGLS) to address issues of heteroskedasticity and autocorrelation in the error terms of the model. The results indicate the presence of agency costs in these firms. Specifically, the ratio of general and administrative expenses to total revenue positively affects firm performance, while asset turnover and debt ratio negatively impact it. Firm size positively impacts ROE but negatively affects ROA.
FORECASTING THE SEMESTRAL ENROLLMENT OF DOrSU CURRICULAR PROGRAMS
Authors: Masinading Gilbert M. , Dalagan, Jr. Saturnino E. , Manib Shamie Kein R.
Published: October 2024

Forecasting of student enrollment is crucial to the institution since it affects institutions’ income, the number of faculty needed, facility requirements, and budgets. Hence, semestral enrollment projection is needed as it is an important process for students and educational institutions. This study is conducted to forecast the semestral enrollment of Davao Oriental State University curricular programs. The data sets consist of 68 time series observations from 1st semester of SY 1990-1991 to 2nd semester of 2023-2024. Results showed that there is an upward trend in the series, with the number of enrolled students increasing from the first semester of AY 1990-1991 to the first semester of AY 2015-2016. Despite a decrease in enrollment from AY 2015-2016 to AY 2017-2018, the trend resumes its upward trajectory until AY 2023-2024. Additionally, the series appears to exhibit seasonality, with the number of enrolled students showing a regularly repeating pattern of high enrollment in the first semester of each academic year and a decline in enrollment in the second semester. The forecasted values of semestral enrollment from AY 2024-2025 to AY 2029-2030 follow an upward trend and a seasonal variation for the first and second semesters. These projections indicate a significant growth in the university’s enrollment over the next following years. This underscores the growing demand for education at the university and signals the necessity for strategic planning to accommodate future student population. The university’s administration can use these insights for informed decision-making regarding resource allocation, budgeting, infrastructure development, and faculty and staff demand to meet the anticipated rise in student enrollment.
RDSSMM: A FUZZY EXPERT SYSTEM FOR ENHANCED MALARIA DIAGNOSIS AND MANAGEMENT IN ENDEMIC REGIONS
Authors: Hamid Muhammad , Malik Saadia , Saleem Muhammad
Published: October 2024

Malaria continues to be a pressing public health issue in tropical regions, with its deleterious effects on human health well documented. While a minority of cases may be life threatening, delayed diagnosis can significantly worsen the severity of malaria. This paper presents the Recommender and Decision Support System for Malaria Management (RDSSMM), designed to assist researchers, physicians and healthcare professionals in malaria endemic areas. RDSSMM is made up of four main components: a knowledge base, fuzzification module, inference engine, and defuzzification module. Mayo Hospital Lahore, Pakistan was used to develop the fuzzy expert system based on experts’ opinions in the field of medicine. For ease of access, a mobile application has been included which allows patients to get primary diagnosis by keying in their physical signs that are then transformed into fuzzy membership functions. The data was collected from the outpatient department of Mayo Hospital Lahore as one way of evaluating RDSSMM’s effectiveness. Comparing its predictions to expert medical diagnoses and reports pointed out this system’s performance. Malaria risk was correctly predicted 80% of the time by RDSSMM. These findings show that RDSSMM can greatly improve malaria management in rural areas through provision of quick and accurate results, which would facilitate timely decisions regarding malaria testing and monitoring.
Evaluating the Impact of Renewable Energy Integration on Air Quality: A Study of Pollutant Reduction in an Urban city of Calabar
Authors:   Department of Physics, University of Calabar, Calabar, Nigeria, Udo Sunday , Umoh Mfon , Ewona Igwe
Published: October 2024

The characterization of air quality parameters was carried out in the coastal city of Calabar with the aim of reducing air pollutants in the atmosphere. Both mobile and stationary measurements were obtained. Mobile data were used for estimating air quality index and creating air quality map. The results show that the average concentration of ozone (O3), carbon monoxide (CO), sulfur dioxide (SO2) and nitrogen Oxides (NOx) was 0.34, 4.52, 0.53 and 0.96 ppm, respectively. The air quality index determined for each station showed that 82% of the stations were classified as “marginally polluted,” 14% were classified as “good,” and the remaining 4% were classified as “unhealthy” according to the U.S. air quality standards. Correlation analysis showed that wind speed had the highest correlation with SO2, R = -0.72, while temperature had a high correlation with ozone, R = -0.68. The 2016 polar plots show that CO sources are located in the south and southeast, NOx sources are located in the south and southwest, SO2 sources are located in the southwest, and O3 sources are located in the southeast. The 2017 polar plots show that CO sources are located in the northeast, NOx sources are located in the northwest, SO2 sources are located in the northeast, and O3 sources are located in the southwest.
Wordwall.net: Developing the 7th Grade Students’ Reading Comprehension
Authors: Mutiarani Mutiarani , Putri Dhaifina Az-Zahra
Published: October 2024

Reading comprehension is a topic vastly studied in the field of language learning. With the rapid development of digital technology, more focus on digital tools regarding reading comprehension is deemed necessary to find the best tool to aid its improvement. This study aimed to discover how the wordwall.net website affected seventh-grade students' reading comprehension in a descriptive text learning topic at SMP Al Amanah South Tangerang. The current quantitative study used a pre-experimental design. Twenty-eight students of class VII C were the sample for this investigation. The pre and post-tests serve as data-collecting tools. Using the t-test formula, the researcher examines how student test scores differ both before and after the treatment is applied. The paired sample t-test table shows the t count is 10.726, and the critical t at the significant level (p) = 0.05 is 1.703. Considering these results, the alternative hypothesis (Ha) is conceded. A significant effect of using the wordwall.net website for reading comprehension in grade 7 at SMP Al-Amanah has been found. The study shows that wordwall.net and other similar sites can be very helpful in making learning more fun and interactive, leading to better grades for students.
Digital Literacy Skills and Foreign Language Anxiety of Gen Z in Malang: How Does It Correlate?
Authors: Margaretta Iga Shevy , Rohmah Zuliati , Degeng Putu Dian Danayanti
Published: October 2024

Digital technology now plays an important part in everyday life, requiring digital literacy skills. It also has significant effects on supporting educational needs, including foreign language learning. Some studies have revealed that learners with a high level of DLS will feel less anxious about joining the foreign language learning process. By implementing the quantitative approach, this study investigated the Digital Literacy Skills (DLS) and Foreign Language Anxiety (FLA) level of Gen Z in Malang as well as the correlation between DLS and FLA. Generation Z was chosen because they are known as digital natives. There were two questionnaires disseminated and were filled out by 100 Gen Z learners in Malang. DLS and FLA level of Gen Z in Malang were determined by finding the mean score while Pearson Correlation test was applied to determine the correlation between DLS and FLA. The results of this study suggested that Gen Z had a high level of DLS and moderate level of FLA Besides, there is weak correlation between DLS and FLA (Sig.2-tailed=0.004, Pearson Correlation=-0.486). Gen Z proved that they had a high DLS yet still experienced the FLA. Gen Z required direct assistance from educators rather than doing independent foreign language learning by employing their high DLS. Thus, combining face-to-face foreign language learning with digital technologies could assist Gen Z in reducing their FLA.
Reading Comprehension and Test-Taking Strategies of Different Achievement Levels
Authors: Irawan Lalu Ari , Ahmad Ramli
Published: October 2024

The complexity of the reading process, which poses significant challenges for EFL and ESL learners, underpins this research into effective strategies for both reading comprehension and answering English reading texts.  This qualitative phenomenological research aimed to explore the strategies that students use during reading activities and while taking reading comprehension tests. The study involved four fourth-semester students, differentiated by gender and achievement levels: a high-achieving female, a low-achieving female, a high-achieving male, and a low-achieving male. The research identified that students employed a variety of strategies, with 11 metacognitive strategies being used out of a possible 23, including determining word meaning, making connections, inferring, and summarizing. Additionally, four out of the five FIVES reading strategies were utilized: inference, vocabulary, summarization, and experience. High-achieving students employed more strategies, leading to better comprehension and higher test scores. For test-taking, strategies such as careful time management, revisiting difficult questions, and employing process-of-elimination techniques were noted. The effectiveness of both reading and test-taking strategies, along with factors like topic familiarity and the ability to make inferences, were crucial in determining reading success. These findings underscore the importance of targeted interventions that focus on teaching effective strategies, enhancing topic familiarity, and supporting students in developing robust test-taking strategies, particularly for low-achieving students.
Democratic Innovation from West Sumbawa Regency, Indonesia: Analysis of Forum YASINAN as an Instrument of Community Participation in Development
Authors: Wahyudi Johan
Published: October 2024

This article aims to explain how the Forum YASINAN, as an actualization of democratic innovation, can become an instrument of public participation in regional development in the West Sumbawa Regency. Studies have shown that the lack of public involvement in encouraging public policy and democratic political processes is a problem in developing countries, particularly at the local government level. However, this study demonstrates how local governments can solve community problems through democratic innovation. This study was conducted in West Sumbawa. This study used democratic innovation and participatory democracy as the framework for thinking by interviewing the initiators of Forum YASINAN, representatives of beneficiary communities from eight sub-districts in West Sumbawa, a literature study, and field observations. The findings indicated that Forum YASINAN, conducted by the West Sumbawa Regency Government, has become an innovation that can increase public participation in the development process. One of the innovative aspects of the YASINAN Forum is that the Regent and Deputy Regent provide an informal space for the community to evaluate public services. It simultaneously encourages community participation as demos in which they can voice their aspirations to control the government through informal channels. The forum, which is held every week in turn in each sub-district, shows the local government’s strong willingness to encourage public participation. This study contributes by showing how governments can solve community problems through democratic innovation in the case of the West Sumbawa Regency.
A study on the clinical and social aspects of polycystic ovarian syndrome in women of reproductive age group conducted at a specialized medical facility
Authors: Sekhasaria Priyanka , Agrawal Akanksha , Chundawat Rama Singh , Sharma Rajrani , Jakhar Balveer
Published: October 2024

Background: Polycystic ovarian syndrome (PCOS) is seen as a complex illness that can present in women of various ages, including teenagers and post-menopausal women, not just those of childbearing age. The prevalence of PCOS in India ranges from 3.8% to 22.4% in most studies. The updated diagnostic criteria in Rotterdam consensus conferences now require the presence of two of the following: irregular periods, signs of excess male hormones, polycystic ovaries on ultrasound, and ruling out other possible causes like congenital adrenal hyperplasia, androgen-secreting tumors, and Cushing syndrome.
Methods: The research was carried out on women in the reproductive age category who have PCOS and were visiting the gynecology department at Pacific medical college and hospital in Udaipur. This is prospective comparative study/descriptive cross-sectional study. A total of 150 women were part of the sample. Research was conducted to investigate the correlation between PCOS and the socio-demographic characteristics of the patient.Results: The mean age of participants in the research was 21.68 years, with a deviation of 4.2 years. Approximately 72% are burdened by excess weight, 22% suffer from acne, 21% encounter fertility issues, 6% have amenorrhea, 80% struggle with oligomenorrhea, and 26% are classified as obese. Acne is present in 23% of the participants in the research. Around 38% of people showed signs of hirsutism.
Conclusions: Research revealed a notably high occurrence of PCOS among females aged 21 to 30, with an average age of 23. These females were from a moderate socio-economic background and resided in urban areas, with most of them being students and homemakers leading sedentary lives. The most common clinical symptoms of PCOS in women were noted to be oligomenorrhea, weight gain, infertility, hirsutism, and acne.
Postpartum ovarian torsion caused by a large mucinous cystadenoma: a rare case study
Authors: Kadrekar Aishwarya R. , Patel Ashwini S.
Published: October 2024

Ovarian torsion is an uncommon cause of abdominal pain, which is the most frequent symptom during pregnancy and the postpartum period. Its diagnosis can be challenging due to its rarity as an obstetric emergency. A high degree of clinical suspicion is essential for timely recognition and intervention to save the ovary and reduce the risk of significant morbidity. A 25-year-old woman, 35 days postpartum, presented with acute onset of severe, sharp abdominal pain and vomiting. On examination, her lower abdomen appeared distended, and a mass corresponding to the size of a 26-week uterus was palpable. The mass was tender, cystic in consistency, and demonstrated lateral mobility. Blood investigations and imaging supported the clinical diagnosis of torsion. Ultrasound revealed a well-defined, thin-walled large adnexal mass with a volume of 1980 cc, and Doppler findings suggested left adnexal torsion. An emergency exploratory laparotomy with left-sided salpingo-oophorectomy was performed due to intraoperative findings of a large, haemorrhagic cystic ovarian mass measuring 18×16×18 cm, with three twists in the pedicle. Histopathology confirmed a mucinous cystadenoma. The patient recovered without complications. This case highlights the importance of clinical suspicion, prompt ultrasound evaluation, and timely surgical intervention in achieving optimal outcomes for patients with ovarian torsion.
The impact of institutional environment factors on foreign direct investment in provinces located in the Mekong delta region
Authors: Nguyen Ba Hoang , Vu Thanh An , Le Hoang Phong
Published: October 2024

The primary aim of this study is to explore the influence of institutional environmental factors on foreign direct investment (FDI) within the provinces of Vietnam's Mekong Delta region over the period from 2010 to 2022. The fixed-effect model (FEM) and random-effect model (REM) are used for estimating the impacts of the institutional environment's elements on the FDI of Vietnam's provinces. The Hausman’s test is applied to help determine a suitable and reliable model to perform analyses and discuss the empirical results. The research results indicate that institutional environment factors have a significant impact on FDI inflows in the provinces. Specifically, enterprise support and the number of FDI projects foster the FDI inflows in the provinces of Mekong Delta region. Furthermore, factors such as cost of market entry, information transparency, informal costs, the dynamics of the leaders at the provincial level, the level of labor training, and legal institutions do not significantly influence the FDI inflows into the provinces. Based on these findings, the main policy implications, including improving enterprise support and increasing the number of FDI projects to attract more FDI inflows to the provinces in the Mekong Delta region of Vietnam, have also been proposed.
Analyzing the liquidity of commercial banks in India: Study on different bankgroups
Authors: Kasana Ekta , Singh Renu , Sahoo Bibhu Prasad
Published: October 2024

The present study investigates how macroeconomic and bank-specific determinants affect the liquidity of public, private, and foreign banks in India. Bank liquidity is crucial for maintaining financial stability, supporting economic growth, and preserving public trust in the banking system. Bank liquidity is critically significant for bank success. Since 2008, this study has taken 49 banks for analysis purposes. We have employed the fixed and random effect models to examine the impact of bank-specific and macroeconomic variables on the liquidity of diverse bank groups. The results show that deposits and capital have a positive influence, whereas interest rate, statutory liquidity ratio, and cash reserve ratio negatively influence public, private, and foreign banks. Profitability has an insignificant effect on all types of banks. Gross domestic product has a positive, significant influence on public and private banks, but an insignificant impact on foreign banks. Bank size significantly impacts private banks, whereas it has negligible influence on other banks. The findings can assist bank managers, policymakers, and academics in formulating policies that maintain bank liquidity without incurring any losses or undefined costs. The present research is useful for other countries with a similar economic framework, like India, to improve their bank liquidity structure.
Exploring the relationship between financial development and economic growth in ASEAN-5 countries and Vietnam
Authors: Phuc Nguyen Minh , Nga Phan Thi Hang , Hang Le Thi Thuy
Published: October 2024

This study examines the impact of financial development on economic growth in ASEAN-5 countries and Vietnam from 2000 to 2021, using panel data and employing OLS, FEM, and REM models. The urgent need for financial development is critical to ensuring international integration and enhancing Vietnam’s economic development. The independent variables considered include Broad Money Growth (BMG), the capital requirement for the private sector (CLP), Domestic Credit provided by the Banking sector (DCB), and financial market price indicators (INF), and their effects on economic growth (GDP). The findings indicate that financial development significantly influences economic growth, with impacts ranging from 13% to 37%. The private sector’s capital demand alone accounts for 37% of economic growth in these countries. This study underscores the positive relationship between financial development and economic growth, where financial development stimulates growth. The practical implications include recommendations for financial policies to promote integration and economic growth in developing countries. These findings provide empirical evidence supporting the necessity of careful financial system management to ensure sustained economic development. Furthermore, this research offers valuable insights for policymakers in the region, emphasizing the need for strategic financial reforms and innovations to foster long-term economic stability and growth.
Interactions among the primary causes of carbon dioxide emissions in selected south Asian countries: Does renewable energy mitigate carbon dioxide emissions?
Authors: Sultana Munira , Esquivias Miguel Angel
Published: October 2024

The primary aim of this study is to examine the relationship between economic growth (EG), financial development, renewable energy consumption and environmental pollution in South Asian countries (SAC). The “Autoregressive Distributed Lag (ARDL) model” applies panel data analysis from 1990 to 2021 in selected SAC. This study reveals that a 1 percent increase in financial development (FD) tends to increase 0.3356 percent of CO2 emissions. Renewable energy consumption (RE) essentially diminishes ecological contamination:   a 1 percent expansion in RE will reduce 0.5878 percent of CO2. Expanded reception sources are related to a significant decrease in CO2 highlighting the capability of clean energy to advance manageable turns of events. The blunder rectification term remains at - 0.3741 with measurably critical outcomes which suggests that the speed of equilibrium is 37% to arrive at a drawn-out balance in SAC. We urge policymakers to find some kind of harmony between financial development and natural maintainability by advancing sustainable power projects and implementing stricter ecological guidelines. This study contributes to the literature by presenting empirical evidence on the environmental impact of economic and financial dynamics in a region experiencing rapid growth and development challenges.
Effect of the COVID-19 pandemic on micro and small industry revenue in west Sumatra province, Indonesia
Authors: Satrianto Alpon , Fitra Halkadri , Ariusni  , Ikhsan Akmil , Gusti Mia Ayu
Published: October 2024

This study looks into how the COVID-19 pandemic has affected the revenue of Indonesia's West Sumatra Province's micro and small industries (MSI). Ordinary least square analysis is used in the study methodology taking into account classical assumption tests for heteroscedasticity and multicollinearity. This research data is in the form of panel data from 2018 to 2020 covering 19 regencies and cities. The results show that the COVID-19 pandemic has had a negative and considerable effect on West Sumatra Province's revenue from MSI. The COVID-19 pandemic has impacted the decline in revenue for MSI. The government should actively provide subsidies and assistance to MSI in West Sumatra Province particularly during COVID-19. Implementing various supportive regulations can further ensure the sustainability of MSI.
Overview on Immunopathology of Chronic Lymphocytic Leukemia and Tumor-Associated Antigens with Therapeutic Applications
Authors: Shabani Mahdi , Rostamzadeh Davoud , Mansouri Mansoure , Jeddi-Tehrani Mahmood
Published: October 2024

Chronic Lymphocytic Leukemia (CLL) is a clinically and biologically heterogeneous disease with a variable clinical course. The induction of a generalized state of immunosuppression, leading to susceptibility to infections and the failure of anti-tumor immune responses, is a key feature of the clinical course of CLL. In addition to B-cell receptor (BCR) signaling in CLL, several receptor tyrosine kinases (RTKs) have been reported to be constitutively active in leukemic B cells, resulting in promoted survival and resistance to apoptosis induced by chemotherapy. Several treatment options are available for CLL, including a watch-and-wait strategy, chemotherapy, targeted therapies, immunotherapies such as adoptive cellular therapy (CAR T-Cell Therapy), stem cell transplantation (allogeneic transplantation), radiation therapy and surgery. The identification of Tumor-Associated Antigens (TAAs) is the bottleneck of tumor immunology and immunotherapy, serving as promising targets for precise diagnosis, monitoring, or therapeutic approaches. Numerous TAAs have been identified, and their application in immunotherapy holds promise for the treatment of CLL. Furthermore, extensive ongoing research aims to identify new cancer TAAs. In this review, our objective is to provide a comprehensive overview of CLL immunology and recent findings regarding advances in TAAs with therapeutic applications in CLL.