bluuebunny/crossref_metadata_2025 huggingface dataset:
GAME-BASED LEARNING ENHANCING LEAST LEARNED COMPETENCIES IN APPLIED SOCIAL SCIENCES
Authors:   Laguna State Polytechnic University San Pablo City Campus, Philippines, Sarmiento Rosemarie B.
Published: February 2024

In the rapidly evolving landscape of education, incorporating innovative and engaging teaching methods is crucial for fostering effective learning outcomes. Teacher needs to ensure that learners can cope up with classroom challenges especially in a class composed of learners with heterogeneous level of understanding for a particular subject is strenuous to handle since they have different expectations and abilities. By leveraging the power of gamification, the study aims to investigate the effectiveness of game-based learning in facilitating the acquisition and retention of critical competencies that have historically proven to be more challenging for learners. The game-based learning intervention will consist of interactive and immersive educational games specifically designed to address the identified least learned competencies. The games will be implemented as supplementary learning tools, integrated into the existing applied social sciences curriculum. Through an extensive review of existing literature and empirical evidence, the study aims to provide insights into the impact of game-based learning on enhancing skill development, critical thinking, problem-solving, teamwork, and other competencies specific to the applied social sciences domain. Hence, the findings of this study will contribute to the existing body of knowledge on game-based learning and its effectiveness in enhancing least learned competencies in applied social sciences. In addition, it will inform educators, policymakers, and curriculum developers on the potential benefits and implications of integrating game-based learning approaches within the applied social sciences domain. Ultimately, this study aims to promote more engaging and effective pedagogical strategies that foster comprehensive skill development in students, preparing them to excel in the dynamic and complex world of applied social sciences.
A Comprehensive Review of Deep Learning Techniques for Identifying Parkinson's Disease from Gait Analysis
Authors:   Research Scholar Department of Computer Science Chikkanna Government Arts College Tirupur, Tamilnadu , India, SasiRekha S.
Published: February 2024

A group of neurological disorders that manifests in a wide range of motor and cognitive symptoms, Parkinson's Disease (PD) ranks second among those affecting older adults. Many people mistakenly believe that PD symptoms are caused by other conditions, such as essential tremor or natural aging. There may not be a cure for PD, but there are numerous medications that can help with symptoms. Since gait impairment is a prominent and early sign of PD in a clinical context, doctors typically use visual observations to analyse gait abnormalities as one of many manifestations to determine the severity of PD. Nevertheless, therapists' reliance on their own knowledge and judgment makes gait examination a difficult and subjective process. Extracting useful gait features from various input signals for gait analysis has recently been used Deep Learning (DL) models. Intermediate Medical Unit (IMU) patients with movement problems may benefit from a quick and clinically relevant evaluation of gait abnormalities performed automatically utilizing DL algorithms. Using gait analysis, this study provides a comprehensive overview of various DL frameworks that have been created for the purpose of PD prediction and categorization. At the outset, In the first part of the study, various PD prediction and classification systems that have been developed by various researchers and that rely on DL algorithms via gait analysis are reviewed briefly. To find a better way to identify and categorize the PD, we next undertake a comparative analysis to learn about the shortcomings of those algorithms.
A Systematic Review on the use of Machine Learning and Deep Learning Techniques for Crime Prediction from Social Media
Authors:   Assistant Professor, PG and Research  department of Information Technology, Govt. Arts College(A)  Coimbatore- 641018, India., P Sundari .
Published: February 2024

The goal of crime prediction is to help law enforcement authorities to prevent crimes before they happen by identifying and reducing potential future crimes. In present days, crime cases are rapidly occur so it is a challenging task to accurately predict and classify the future crimes, as criminal patterns are adaptable and constantly evolve, making it a challenging task. Sentiment analysis is essential for deciphering the feelings conveyed in text since social media has grown into a popular venue for individuals to communicate their thoughts, feelings, views, and comments. This analysis is particularly valuable for making informed decisions in business, politics and government agencies especially to identify crimes. However, it faces the difficulties like lexical diversity and dataset imbalance. In order to make better decisions and maybe lower the risk of predicting the suspects in a crime, early crime prediction has lately made use of Artificial Intelligence (AI) models like Deep Learning (DL) and Machine Learning (ML). When applied to crime data, ML and DL models may assist pinpoint possible crime hotspots and foretell when crimes may occur. Crime prediction and categorization using social media posts is covered in depth in this paper, which offers a comprehensive overview of several ML and DL frameworks. Initially, different ML and DL based crime prediction models designed by many researchers are examined in brief. The next step is to do a comparison research to learn about the shortcomings of those frameworks and provide an alternative method for effectively predicting crimes based on social media postings.
Optimizing Edge Computing through Virtualization: A Comprehensive Review
Authors:   Department of Computer Science and Engineering Deenbandhu Chhotu Ram University of Science and Technology Murthal (Sonepat), India, Saini Nisha
Published: February 2024

The adoption of virtualization in edge computing promotes the use of numerous applications and operating systems on a single physical server. The technological environment is increasingly efficient, economical, and hassle-free by virtue of this technology. This study explores the potential of virtualization in edge computing environments by creating virtual versions of physical resources and services. The primary objective of this study is to reduce hardware and operational expenses by consolidating multiple systems into one physical system. Various deployment strategies for virtual machines on edge nodes, including containers, hypervisors, and virtual machines, are discussed. The article also delves into a virtualization-based framework to address challenges in edge computing. Additionally, through historical research on virtualization techniques, this article provides insights into the benefits and limitations of virtualization in edge computing. Moreover, the integration of virtualization and edge computing is examined, highlighting open challenges that need to be addressed for optimal utilization of virtualization in edge computing environments. The findings contribute to a deeper understanding of the possibilities and challenges associated with virtualization in edge computing environments, laying the foundation for further research in this field.
STUDY OF LOGICAL OPERATIONS IN VECTORS OF A CIRCUIT OF HYPERCUBE
Authors:   Department of Computer Science A.P.S. University, Rewa M.P. India, Shukla Sandeep
Published: February 2024

Parallel structure and switching circuit have become a fundamental theme in the concern of Artificial Intelligence and interconnection network and also it is revealed to be critical when researching in high performance. This Study helps to the process of breaking down larger process into normal form and independent secondary module, which helps to perform operations with various properties such as atomicity, consistency; isolation and switching features. They also help for manage and tune processing during faults in architecture, the results of which are combined upon completion as part of an overall algorithm. In this paper firstly we select the independent small module of hypercube then represent into data structure and apply logical operations into vectors
Galectin-8 modulates human osteoclast activity partly through isoform-specific interactions
Authors: Roy Michèle , Mbous Nguimbus Léopold , Badiane Papa Yaya , Goguen-Couture Victor , Degrandmaison Jade , Parent Jean-Luc , Brunet Marie A , Roux Sophie
Published: February 2024

In overactive human osteoclasts, we previously identified an alternative splicing event inLGALS8, encoding galectin-8, resulting in decreased expression of the long isoform. Galectin-8, which modulates cell–matrix interactions and functions intracellularly as a danger recognition receptor, has never been associated with osteoclast biology. In human osteoclasts, inhibition of galectin-8 expression revealed its roles in bone resorption, osteoclast nuclearity, and mTORC1 signaling regulation. Galectin-8 isoform-specific inhibition asserted a predominant role for the short isoform in bone resorption. Moreover, a liquid chromatography with tandem mass spectrometry (LC-MS/MS) proteomic analysis of galectin-8 isoforms performed in HEK293T cells identified 22 proteins shared by both isoforms. Meanwhile, nine interacting partners were specific for the short isoform, and none were unique to the long isoform. Interactors specific for the galectin-8 short isoform included cell adhesion proteins and lysosomal proteins. We confirmed the interactions of galectin-8 with CLCN3, CLCN7, LAMP1, and LAMP2, all known to localize to secretory vesicles, in human osteoclasts. Altogether, our study reveals direct roles of galectin-8 in osteoclast activity, mostly attributable to the short isoform.
Network Slicing in 5G Systems: Challenges, Opportunities and Implementation Approaches
Authors:   Information Systems, New York University,  New York, United States, Kannan Yamini
Published: February 2024

The introduction of the fifth-generation (5G) of network technology has radically transformed the telecommunications landscape by providing high-speed, low-latency communication suitable for a range of innovative applications. However, this transformation also introduces novel network complexity and resource management challenges. An emerging solution to these formidable challenges is 'Network Slicing,' a powerful technology that plays a crux role in the efficient management of 5G network systems. Network slicing, enabled by key technologies such as Software-Defined Networking (SDN) and Network Function Virtualization (NFV), allows the creation of multiple virtual and independent networks operating on a shared physical infrastructure. This ability contributes to a more flexible, scalable, and efficient network system, making it aptly suited for diverse 5G applications. In this paper, we conduct an in-depth examination of network slicing in 5G systems, its implementation strategies, associated challenges, and potential solutions. Two real-world case studies underline its practical applications, while a discussion on the future outlook anticipates advances in AI and ML to refine network slicing management. The paper posits that while network slicing brings its own set of complexities, its continuous evolution and relentless innovations gear towards overcoming such challenges, paving the way to a future of 5G networking marked by versatility, reliability, and efficiency of unprecedented levels.
Analysis of the Application of Justifiable Defense to the “Violence Against Violence” Behavior of Women in Response to Domestic Violence
Authors: Yang Jie , Jiang Yipeng
Published: February 2024

In recent years, cases of “violence against violence” of women against domestic violence have been increasing.Most of these cases arise when women need to defend themselves against extreme domestic violence. This paper attemptsto explore the application of justifiable defense of abused women in domestic violence and discusses the nature andoccurrence of the behavior from two dimensions. Situations in which the actions of the victim can be considered asjustifiable defense are also discussed. Subsequently, two measures for preventing such cases and protecting women’srights are proposed. The first measure is legal education and psychological intervention, and the second measure is raisingawareness of domestic violence.
Epistemology of Paradigms for Positivism, Interpretivism, and Action Research in Educational Research: A Literature Review
Authors: Mustofa Mustofa
Published: February 2024

This paper elaborates on three popular paradigms in educational research: positivism, interpretive, and action research. I epistemologically elucidate the three paradigms through literature reviews and provide ideas and criticisms. Positivistic with their objective postulate that explains empirically are usually related to behaviour, interpretive with its contextual power, and action research with participatory arguments and dialectics process. This paper does not claim that there is only one best approach to educational research. However, it provides a philosophical overview of each paradigm.
How Do EFL Students Across Gender Perceive Classpoint toward Their Motivation in Learning English?
Authors: Ramadhani Frenni Shalsabillah , Unsiah Frida
Published: February 2024

This study seeks the difference between female and male students' intrinsic and extrinsic motivation and attitudes toward using Classpoint in EFL learning. Applying quantitative research, 61 EFL high school students of Brawijaya Smart School participated in this research. The instrument used in this study was a questionnaire consisting of 21 items using a Likert-type scale—the chosen items comprised three topics (students' intrinsic and extrinsic motivation and attitudes toward the use of Classpoint). The data analysis uses SPSS 27 and t-test to seek the significance of the result of the present study. This research indicates that female students have a higher motivation rate and attitude toward using Classpoint in EFL classrooms and that students across genders significantly differ in their perception of intrinsic motivation and attitudes. It also showed that utilizing Classpoint augments intrinsic motivation better than extrinsic motivation. The result implies English teachers should motivate and encourage male students to participate in the learning process by providing fun activities and giving rewards.
The Use of Google Translate and U-Dictionary as Machine Translation for Translating Text: EFL College Student’s Preference and Perceptions
Authors: Ainan Ningrum  , Dewi Utami
Published: February 2024

Several studies have investigated the effects of using Google Translate and U-Dictionary on translation products for English as a foreign language (EFL) student. However, students' preferences regarding these two machines’ translation for translating texts in EFL translation classes in Indonesia still seem relatively few and have not been much explored. This research aimed to determine which machine translation EFL college students prefer for translating their text. This study used a qualitative case study approach. In investigating students’ preferences, questionnaires, and in-depth interview were used as data collection tools. Seventeen students were selected by purposive sampling and were administered an online questionnaire. Then, students participated in in-depth interviews and obtained further information from an online questionnaire. We then analyzed the data using two techniques, including frequency counts for quantitative data and qualitative analysis through thematic analysis for qualitative data. The findings reveal that students prefer Google Translate over U-Dictionary for three reasons. First, they consider Google Translate as a complete machine translation with various features that help them translate text. Second, Google Translate increases student's knowledge of new vocabulary. Third, Google Translate makes the translation process more accessible for students. It is so easy to access. However, U-Dictionary also received high marks because students felt more confident in the accuracy of the U-Dictionary translation results. Therefore, it is believed that combining these two machines’ translations will make the student's translation process more accessible
Clinical isolates of ST131 blaOXA-244-positive Escherichia coli, Italy, December 2022 to July 2023
Authors: Piazza Aurora , Corbella Marta , Mattioni Marchetti Vittoria , Merla Cristina , Mileto Irene , Kuka Angela , Petazzoni Greta , Gaiarsa Stefano , Migliavacca Roberta , Baldanti Fausto , Cambieri Patrizia
Published: February 2024

The dissemination of carbapenemase-producing Escherichia coli, although still at low level, should be continuously monitored. OXA-244 is emerging in Europe, mainly in E. coli. In Italy, this carbapenemase was reported from an environmental river sample in 2019. We report clinical isolates of OXA-244-producing ST131 E. coli in four patients admitted to an acute care hospital in Pavia, Italy. The association of this difficult-to-detect determinant with a globally circulating high-risk clone, ST131 E. coli, is of clinical relevance.
Ethnopharmacy Study of Medicinal Plants Lampung Tribe in Pekon Tabuan Island, District Cukuh Balak, Tanggamus Regency, Lampung Province
Authors: Oktoba Zulpakor , Adjeng Andi Nafisah Tendri , Romulya Ari Irawan
Published: February 2024

People in the Indonesian archipelago have long used medicinal plants as an alternative disease treatment. Tabuan Island is an area in Cukuh Balak District, Tanggamus Regency, Lampung Province, where most people are Lampung Peminggir /Pesisir tribe who still practice empirical medicine with local wisdom. Ethnopharmacy studies on Tabuan Island in the Lampung tribe have never been conducted and published. The study aimed to explore the knowledge of local communities regarding the types of medicinal plants for the search and development of new medicines. This research method includes area studies and descriptive studies in the form of ethnopharmacognosy-ethnopharmacology approaches in the Tabuan island community in 4 (four) villages or Pekon namely Pekon Sawang Balang, Pekon Suka Banjar, Pekon Kuta Kakhang, and Pekon Karang Buah used participatory observation methods and open interviews. The results showed that the Lampung Peminggir ethnic group on Tabuan Island still maintains ethnopharmaceutical traditions by utilizing plants used as medicine in 36 families of 76 species to treat diseases used singly or as a concoction accompanied by jampi. The most widely used plant families are Fabaceae, Zingiberaceae, Malvaceae, Meliaceae, and Poaceae. These medicinal plants in the Fabaceae family are most widely used to remedy mouth ulcers and skin problems such as tinea versicolor, ringworm, itching, acne, dandruff, diarrhea, and diabetes. Leaves are the most widely used plant parts, as much as 49.52%, and the least used plant parts are herbs, thallus, and fungi, while most of these plants are obtained in the garden. The most common way of processing medicinal plants is by stewing.
The Effects of Passion Fruit (Passiflora Edulis) Seed Extract For Health Benefit
Authors: Kristanti Dea , Purnawati Susy
Published: February 2024

This study discusses the health benefits of the content of passion fruit (Passiflora edulis) seed extract. Google Scholar, Research Gate, and Mendeley were used as the search engine. The keywords were Passiflora edulis, passion fruit seed, antioxidant, and piceatannol. The benefits of passion fruit seed extract were analyzed from 21 articles. Twenty-one articles are used to demonstrate the health benefits of passion fruit (Passiflora edulis) seeds. The study's conclusions indicate that passion fruits may have anti-photoaging, anti-inflammatory, heart, liver, and kidney protective properties. They may also help treat skin conditions like striae distensae and acne vulgaris, as well as have anti-obesity, anti-hypertensive, anti-diabetic, anti-tumor, and anti-cancer properties. It is suggested where future research should go to improve the use of products made with passion fruits. It is hoped that more studies on the health benefits of passion fruit will be carried out using age-specific criteria, a larger sample size, and gender parity. Further prospective research is needed
A Water-soluble Form of Dihydroquercetin Reduces LPS-induced Astrogliosis, Vascular Remodeling, and mRNA VEGF-A Levels in the Substantia Nigra of Aged Rats
Authors: Elena S Alalykina , Tatyana N Sergeeva , Michail A Ananyan , Ivan A Cherenkov , Valeriy G Sergeev
Published: February 2024

Background: The age-dependent sporadic form of PD is characterized by the degeneration of dopaminergic (DA) neurons in the Substantia Nigra (SN), gliosis, and vascular changes. Vascular changes may contribute to the onset of the disease and exacerbate the neurodegenerative process, as some vascular changes occur before the onset of neuronal loss. To demonstrate the anti-neuroinflammatory efficacy of a new compound, a water-soluble form of dihydroquercetin (DHQ-WF), we studied the structural changes of microcirculatory vasculature, astroglial GFAP, and vascular endothelial growth factor –A (VEGF-A) mRNA expression in the SN of young and old rats after unilateral nigral treatment by lipopolysaccharide (LPS) and oral administration of DHQ-WF. Materials and methods: The experiments were performed on 18 young (8 weeks - 10 weeks old; 250 g - 320 g) and 18 old (18 months - 19 months old; 390 g - 450 g) male Vistar rats. Young and adult rats from the experimental groups were stereotactically injected with 2 μL LPS solution (LPS from Escherichia coli; 0,01 μL/mL) into one side of the SN. Control young and old rats were similarly injected with 2 μL sterile saline. Half of the animals in both the control and experimental groups (6 animals in each group) received a 2 ml solution containing DHQ-WF at a concentration of 3 mg/ml orally every day. After 8 weeks, brains were harvested and serial cryostat sections were prepared for histochemical (FITC-labeled tomato lectin), immunohistochemical (anti-GFAP Antibody, Cy3 Conjugate) staining, and real-time PCR (mRNA VEGF-A). Results: Eight weeks after LPS injection into the SN, a significant excess of areas occupied by cell bodies and processes of astroglial cells, the density of microcirculatory vessels, and mRNA VEGF-A expression was observed in old animals compared to control old animals and young LPS-treated rats. Oral administration of DHQ-WF to LPS-treated rats resulted in a significant reduction of these parameters in old animals. Conclusion: Injection of LPS into rat SN induces neuroinflammation and vascular angiogenesis, maximally expressed in old animals. Administration of DHQ-WF for 8 weeks significantly reduces these LPS-induced changes. DHQ-WF may be an effective treatment for reducing the effects of neuroinflammation in the aging brain.
La formación en capacidades humanas en educación virtual
Authors: García Naranjo Martha Lucía
Published: February 2024

La educación para la renta y la educación para la formación humana desde el enfoque de las capacidades, son dos modelos develados en la filosofía de la educación contemporánea. En su desarrollo, la formación y las capacidades humanas en el ámbito de la Educación Virtual constituyen referentes que se vinculan y problematizan para pensar la divergencia que plantean tales modelos. Lo anterior, me llevó a reflexionar, desde la práctica, sobre las oportunidades educativas como un horizonte posible para estudios y acciones que deriven en aportes a la ampliación de las capacidades de la persona en el ámbito de la Educación Virtual. Y es que la educación mediada por las tecnologías, cobra relevancia como el modo que, para una mayoría, ofrece las oportunidades para alcanzar sus realizaciones personales, académicas y profesionales.
Machine learning-based prediction of lithium-ion battery life cycle for capacity degradation modelling
Authors: S. Kumarappa  , Manjunatha H M
Published: February 2024

With a particular focus on capacity degradation modeling, this paper offers a ground-breaking examination of the use of machine learning approaches for the precise prediction of lithium-ion battery life cycles. Because lithium-ion batteries are essential to many technological applications, it's critical to comprehend and anticipate their life cycles in order to maximize performance and guarantee sustainable energy solutions. The study starts with an extensive examination of the literature, assessing current approaches critically and setting the stage for the introduction of models based on machine learning. The process entails the methodical collecting of data across a range of operational settings, environmental variables, and charging-discharging cycles. Thorough preprocessing guarantees the dataset's consistency and quality for further machine learning model training. Predictive models are created using a variety of machine learning algorithms, including regression models, support vector machines, and deep neural networks. In order to improve prediction accuracy, the paper focuses on the reasoning behind model selection, parameter tuning, and the incorporation of ensemble approaches. In order to uncover important elements influencing the life cycles of lithium-ion batteries and provide important insights into degradation mechanisms, feature selection approaches are used. Using cross-validation techniques and real-world lithium-ion battery datasets, the built machine learning models go through rigorous evaluation and validation processes to determine their robustness, capacity for generalization, and performance metrics. Comparing machine learning-based predictions with conventional models, the results are presented and discussed, offering insights into the interpretability of the models and the identification of important affecting elements. In order to promote proactive maintenance and optimize battery usage, predictive models are integrated into real-time monitoring systems. The consequences for battery management systems are examined. The paper continues by discussing the challenges that come with using machine learning to estimate the life cycle of batteries and outlining possible directions for further research and development, such as scalability, interpretability, and the incorporation of emerging technologies. This research contributes to the ongoing efforts to increase the reliability and sustainability of lithium-ion battery technologies by highlighting the potential impact of machine learning on energy storage system optimization.
The Implementation of One Village One Product (OVOP) Program in Sambas Regency
Authors: Rusdiono Rusdiono , Darmawan Sudagung Adityo
Published: February 2024

This paper examines the local government's implementation of village development policy at the borderlands, aiming to address the research gap by explaining the implementation of public policy through a case study of the One Village One Product (OVOP) program in Sambas Regency, Indonesia, which shares a border with Sarawak, Malaysia. We provide academic contributions to the field of public policy at the intersection of village development and border studies by explaining the local experience of implementing public policy. Additionally, the study provides practical recommendations for stakeholders in both public and private sectors to enhance OVOP programs following the best practices learned from other countries. The study, conducted from August to October 2023, employed qualitative research methods through observation and 15 interviews with government officials, the regency and village levels, and the local figures. Relevant documents were also collected and analyzed. The study found that two models of policy implementation applied in the research setting. In most villages, the OVOP program implemented the dominant top-down models due to the independent work of regency government officials and inadequate collaboration. The bureaucracy only provides short-term assistance and empowerment while hindering the aspirations of the private and community sectors to participate. At the same time, a hybrid model is exercised in one village where local stakeholders, the village government, and private and community sectors collaborate based on their sense of belonging toward “home” with less intervention from the regency government. The study recommends enhancing regular on-site or online communication and active collaboration between all stakeholders in the regency and the village level to improve OVOP program implementation in Sambas Regency.
Postmenopausal osteoporosis — an interdisciplinary problem of modern
Authors: Zakharov I. S. , Kolpinsky G. I. , Beskrovny S. V.
Published: February 2024

Postmenopausal osteoporosis is an important interdisciplinary problem of modern medicine. The presented lecture highlights modern approaches to the diagnosis, prognosis and treatment of this pathology. The leading role in the detection of osteoporotic changes is played by radiation diagnostic methods that determine the level of bone mineral density - the equivalent of bone mass. In order to study metabolic disorders of bone tissue, laboratory methods are used that evaluate the activity of bone synthesis and resorption. When predicting osteoporotic fractures, the FRAX model is widely used, which determines the likelihood of fractures in the next 10 years, based on the presence of risk factors. Given the multifactorial nature of the formation of osteoporotic changes, an integrated approach to the treatment of this disease is necessary. According to the recommendations of the European Society of Endocrinology, bisphosphonates should be considered as first-line therapy. Denosumab, romosozumab, teriparatide can be used as second-line drugs. In addition, given the leading role of hypoestrogenism in the development of postmenopausal osteoporosis, the use of menopausal hormone therapy preparations occupies an important place in the prevention and treatment of osteoporotic changes. An important aspect that determines the effectiveness of the treatment of patients with postmenopausal osteoporosis is the need for interaction between doctors of various specialties, including gynecologists, endocrinologists, rheumatologists, traumatologists, doctors of radiation and laboratory diagnostics.
Мodern achievement and issues in primary hypothyroidism treatment
Authors: Nikolaeva A. V. , Dudarev M. V. , Pimenov L. T. , Resnik E. V.
Published: February 2024

The article presents the review of the modern approaches and issues in management of the patients with primary hypothyroidism. To date globally multiple nonclinical and clinical studies designed to improve the substitutional therapy and quality of life of patients with primary hypothyroidism are performed. The objective of the review is to analyze the global studies for last 5 years and the modern literature concerning the new possibilities and approaches to the primary hypothyroidism treatment. To achieve this objective the systematic search in PubMed dataset with these key words using: "primary hypothyroidism treatment", "levothyroxine side effects", "primary hypothyroidism outcome", "new approaches to hypothyroidism therapy", "new formulations of levothyroxine", "hypothyroidism in elderly" for the period from 2018 to 2023 was performed. Based on this analysis the conclusions that the investigation of different disease course features and discovering of new treatment options are necessary despite the apparent simplicity of substitutional therapy were made.
Morphometric variants of remodeling and diastolic function of the left ventricle in late postmenopausal patients with vitamin D deficiency
Authors: Shambatov M. A. , Izmozherova N. V. , Popov A. A. , Grishina I. F. , Vikhareva A. A. , Ryabinina A. V.
Published: February 2024

Aim. To reveal the features of the structural-geometric remodeling of the left chambers of the heart, the diastolic function of the left ventricle and to assess the presence of calcification of the valvular structures of the heart in late postmenopausal women with different levels of vitamin D. Material and methods. The cross-sectional study included 123 postmenopausal women. A standard transthoracic echocardiography was performed with an assessment of morphometric variants of remodeling of the left chambers of the heart and its diastolic function according to the transmitral flow. The significance of differences was assessed using the Mann–Whitney test, χ2 Pearson. Differences and correlations were considered significant at p < 0.05. Results. The median concentration of 25(OH)D in the sample was 20.51 ng/ml (15.8÷26.73). Adequate serum concentration of 25(OH)D was observed in 23 (19%) patients (group 1), in 100 (81%) cases vitamin D deficiency was detected (group 2). In group 1 — 7 (31%) patients had normal geometry (NG) of the left ventricle (LV), LV concentric remodeling (CR) was diagnosed in 1 (4%) case, LV concentric hypertrophy (CH) was diagnosed in 3 (13%) cases, and LV eccentric hypertrophy (EH) was detected in 12 (52%) cases. In Group 2, LV NG was diagnosed in 27 (27%) cases, LV CR was detected in 8 (8%) cases, LV CH was detected in 31 (31%) cases, and LV EH was verified in 34 (34%) cases, the differences are insignificant (p = 0.24). Patients of group 2 showed a statistically significant increase in the volume of the right atrium (RA) and thickness of the posterior wall of the left ventricle (TZSLV). In group 1, in 11 (50%) cases, rigid-type diastolic dysfunction (DD) was detected, and in 11 (50%) cases, a pseudo-normal type of DD was detected. In group 2, pseudonormal myocardial DD was detected in 26 (26%) patients, 74 (74%) patients had rigid-type DD, differences between groups were significant (p < 0.001). Calcifications were found in the annulus fibrosus in 16 (70%) cases in group 1 and in 88 (88%) patients in group 2, the differences were significant (p = 0.04). Conclusion. In the study, data were obtained indicating a significant contribution of vitamin D deficiency to changes in the geometry of the left chambers of the heart, diastolic function of the left ventricle, and calcification of valvular structures.
Structure of cardiac rhythm disorders in patients with obesity and associated with it dyslipidemia as an arrhythmogenic factor
Authors: Panova E. I. , Morozova E. P.
Published: February 2024

Obesity is a global public health problem in the twenty-first century. The most adverse it’s effects are associated with visceral type, with accumulation of epicardial fat, showing high metabolic activity, dysfunction and important role in the development of lipotoxic cardiomyopathy linked with significant morphological and functional myocardial changes, accompanying by high risk of heart rhythm disorders. The aim of the study: to identify structure (frequency and character) of cardiac arrhythmias in men of employable age with visceral obesity, to establish the relationship of arrhythmias with features of the blood lipid spectrum of these patients. Material and methods. 98 men with abdominal obesity and 46 overweight patients were examined. The control group consisted of 40 healthy patients with normal body weight. All the patients were undergone ECG monitoring, echocardiography and analysis of serum lipid levels. Results. The presence of obesity is statistically significantly associated with the risk of supraventricular couplets, frequent ventricular extrasystoles, sinus arrhythmia and atrial fibrillation. The increase in the severity of obesity was accompanied by a tendency to a greater frequency of arrhythmias: in obesity of I degree, the frequency of atrial fibrillation was 12.3%, II–III degree — 21.2%, p = 0.25; frequent ventricular extrasystoles with similar degrees of obesity — 13.8% and 21.1%, respectively. Atrial fibrillation was significantly more often detected against the background of lipid disorders, mainly with a decrease in HDLP. Conclusion. The main type of heart rhythm disturbance in patients with obesity are supraventricular arrhythmias, mainly atrial fibrillation, the frequency of which increases in proportion to the increase in the patient's body weight. Abdominal obesity leads to an increase in ventricular ectopic activity. Dyslipidemia is the one of risk factors for arrhythmias in these patients.
On the impact of the COVID-19 pandemic on the incidence of community-acquired pneumonia on the example of the region of the European North of Russia
Authors: Karapetyan T. A. , Dorshakova N. V. , Peshkova I. V.
Published: February 2024

Rationale.During the COVID-19 pandemic, there was a sharp increase in the incidence of community-acquired pneumonia (CAP) in Russia and the Republic of Karelia (RK). Given the high significance of the problem, it is necessary to clarify the causes of the current epidemiological situation.The purposeof the work: to assess the incidence of CAP, not associated with COVID-19, in the adult population of the Republic of Karelia aged 18 years older in 2011–2019 in the administrative-territorial divisions of the republic, a comparison of its existing and projected levels in 2020–2021.Material and method.A retrospective observational epidemiological study was conducted based on the analysis of statistical data of the Republican Medical Information and Analytical Center of the Ministry of Health of the RK on the incidence of CAP, not associated with COVID-19, in the population aged 18 years and older in 2011–2021. Relative values, indicators of the dynamic series are used. To differentiate the administrative-territorial divisions of the RK by incidence in 2011–2019 the method of k-means cluster analysis was applied. To build a forecast for the incidence of CAP, not associated with COVID-19, for 2020–2021 used additive regression model for time series.Results.Among the districts, 3 clusters were identified for the incidence of non-coronavirus CAP in 2011–2019 with the worst epidemiological situation in Olonetsky. The actual incidence exceeded the predicted one in 2020 in 11 and in 2021 in 9 territories of the region, which confirms the impact of the pandemic on the incidence.Conclusion.There are territories in the republic with a “traditionally” high incidence of CAP, and the COVID-19 pandemic has made a significant contribution to its increase.
The possibilities of cytoreductive operations in recurrent abdominal pain syndrome in cancer patients, occurring under the mask of acute pancreatitis
Authors: Baulin А. А. , Averyanova L. A. , Baulin V. A. , Baulina O. A.
Published: February 2024

Among the diseases of urgent pathology, the leading place belongs to acute pancreatitis, which is inferior to such nosologies as acute appendicitis and acute cholecystitis. Moreover, the lion’s share is occupied by light forms, which make up 85%. The aim of the work is to demonstrate a clinical case of recurrent abdominal syndrome occurring under the mask of acute pancreatitis in a patient with oncopathology identified using a diagnostic algorithm used in outpatient practice. Material and methods. Patient F., 60 years old, repeatedly sought medical help in a network of polyclinics and hospitals providing emergency specialized medical care with recurrent abdominal syndrome. Results and discussion. Against the background of conservative treatment, the patient had a short-term positive dynamics characteristic of a mild form of acute pancreatitis. After taking the patient to the dispensary and conducting an in-depth diagnostic examination according to the algorithm developed by our group of researchers, cancer of the stomach stump T2N0M0 was detected. Conclusion. Patients with recurrent abdominal pain syndrome need dispensary observation on an outpatient basis to identify other pathology occurring under the guise of acute pancreatitis and to conduct adequate treatment.
RANCANG BANGUN SISTEM E-TICKET BERBASIS PAYMENT GATEWAY
Authors: Nariswari Arinda Inansya , Sumiati  , Hay’s Riyan Naufal , Repi Viktor Vekky Ronald
Published: February 2024

DAN Tiket adalah agen penjualan tiket wisata dan booking hotel. Penjualan dan pemasaran di DAN Tiket saat ini menggunakan media sosial. Transaksi jual beli tiket dan reservasi melalui media social, yaitu pelanggan mengirimkan foto bukti pembayaran transfer. Penelitian ini menggunakan metode waterfall. Dalam menghadapi tingginya persaingan dunia e-ticketing pada era saat ini dibutuhkan sebuah sistem website untuk memperluas media promosi dan metode pembayaran yang dapat memudahkan pengguna dalam melakukan transaksi pembayaran yaitu dengan payment gateway. Payment gateway memberikan layanan transaksi secara mudah, efisien, dan aman. Salah satu layanan payment gateway yang digunakan adalah API midtrans. API Midtrans adalah sistem pembayaran yang dapat memfasilitasi penjual dan pembeli untuk melakukan transaksi. Dalam membangun aplikasi ini, peneliti menggunakan metode penelitian terapan. Hasil dari penelitian yang telah dilakukan, diperoleh analisis kebutuhan, rancangan, dan pengujian sistem. Metode pengujian yang digunakan adalah blackbox. Hasil pengujian pada sistem ini dapat membantu dalam proses transaksi pelanggan dan memudahkan admin dalam mengelola pesanan yang masuk.

Kata kunci: Blackbox, DAN Tiket, Payment Gateway Midtrans, Reservasi, Website
The Effect of Time Spent on Online Gaming on Problematic Game Use in Male: Moderating Effects of Loneliness, Living Alone, and Household Size
Authors: Park Kyeongwoo , Chang Hyein , Hong Jin Pyo , Kim Myung Hyun , Park Sohee , Jung Jin Young , Kim Dahae , Hahm Bong-Jin , An Ji Hyun
Published: February 2024

Objective This study aimed to investigate the association between gaming time and problematic game use (PGU) within a large sample of Korean male gamers and to examine the potential moderating effects of loneliness, living alone, and household size.Methods This study employed data from 743 male gamers from the National Mental Health Survey 2021, a nationally representative survey of mental illness conducted in South Korea. Self-reported data on the average gaming time per day, severity of PGU, loneliness, living alone, and household size were used.Results Gaming time was positively associated with PGU and this relationship was significantly moderated by loneliness such that the positive effect of gaming time on PGU was greater when the levels of loneliness were high. The three-way interaction effect of gaming time, loneliness, and living alone was also significant, in that the moderating effect of loneliness on the relationship between gaming time and PGU was significant only in the living alone group. However, household size (i.e., number of housemates) did not moderate the interaction between gaming time and loneliness among gamers living with housemates.Conclusion These results suggest the importance of considering loneliness and living arrangements of male gamers, in addition to gaming time, in identifying and intervening with individuals at heightened risk of PGU.
Leptin, Nesfatin-1, Orexin-A, and Total Ghrelin Levels in Drug-Naive Panic Disorder
Authors: Örüm Dilek , Korkmaz Sevda , İlhan Nevin , Örüm Mehmet Hamdi , Atmaca Murad
Published: February 2024

Objective This study aimed to examine the changes in serum nesfatin-1, leptin, orexin-A, and total ghrelin levels of patients diagnosed with drug-naive panic disorder (PD) before and after six weeks of the treatment and to compare the findings with the healthy subjects.Methods The neuropeptides were measured in venous blood samples taken from 32 patients and 32 healthy subjects. The blood samples of the patients who used paroxetine 20 mg/day plus alprazolam 0.5 mg/day were retaken again after six weeks. Measurements were performed with the Enzyme-Linked Immunosorbent Assay (ELISA) method.Results Serum nesfatin-1, leptin, orexin-A and total ghrelin levels of the patient group were found to be significantly lower than the control group (p<0.001, p<0.001, p<0.001, and p<0.001, respectively). When the serum nesfatin-1, leptin, orexin-A and total ghrelin levels of the patient group were compared before and after treatment, significant differences were found in terms of orexin-A and total ghrelin levels (p=0.046, p<0.001, respectively). However, no significant differences were found in terms of nesfatin-1and leptin levels (p=0.205, p=0.988, respectively).Conclusion This study reports that PD, like other anxiety disorders, may affect serum nesfatin-1, leptin, orexin-A, and total ghrelin levels, and there may be a relationship between PD treatment and the levels of these neuropeptides. The variability of this relationship among the neuropeptides examined indicates that various factors other than treatment play a role in this process.
TVP-VAR YÖNTEMİ İLE DİNAMİK BAĞLANTILILIK TESPİTİ: CIVETS ÜLKELERİ ÜZERİNE UYGULAMA
Authors: MEDETOĞLU Batuhan
Published: February 2024

Yatırım süreci için finans teorileri yanında, piyasalarda işlem gören varlıkların hareketleri de önem arz etmektedir. Piyasalar ve finansal varlıklar arasındaki ilişkilerin bilinmesi de gerçekleştirilecek yatırımlarda ve verilecek kararlarda önem taşımaktadır. Bu amaçla Kolombiya, Endonezya, Vietnam, Mısır, Türkiye, Güney Afrika ülkelerinin oluşturduğu ve CIVETS adı verilen ülke grubunun gösterge borsaları üzerine çalışma gerçekleştirilmiştir. Çalışmanın amacı, ülkeler arasındaki volatilite yayılımının ve bağlantılılık ilişkilerinin tespit edilmesidir. Gelişmekte olan statüde kabul edilen ülkeler üzerine gerçekleştirilen çalışmada 01.01.2015-31.10.2023 tarihleri arası veriler kullanılmıştır. Yöntem olarak, dinamik bağlantılılık tespitinin sağlanması amacıyla Zamanla Değişen Parametreli Vektör Otoregresif (TVP-VAR) modeli kullanılmıştır. Çalışmadan elde edilen sonuçlar değerlendirildiğinde, CIVETS gösterge borsalarının, uluslararası portföy çeşitlendirme açısından örneklem olarak alınan tarihlerde uygun olduğu bulgusuna ulaşılmıştır. Bunun yanında; Kolombiya, Endonezya, Vietnam gösterge borsalarının volatilite yayıcısı; Mısır, Türkiye, Güney Afrika gösterge borsalarının ise volatilite alıcısı olduğu sonucu tespit edilmiştir. Çalışmada elde edilen alıcı ve yayıcı borsaların değerlendirilerek portföy çeşitlendirme yapılması mümkün olacaktır.
A Case Study on SPAT-based Flipped Learning in Music Education
Authors:   The Korean Society of Music Education Technology, Cho Sungmin
Published: February 2024

The purpose of this study is to develop a case for SPAT-based flipped learning in music education at the university level. Since music education at the university level requires both new learning and individual practice, flipped learning seems to be a promising option for improving current educational practices. As of now, learners learn and practice with their instructors in classroom hours in a rather piecemeal manner. If part of the instruction could be delivered in a pre-class lecture, the learning would be far more effective, as instructors could focus more class time on students’ individual progress. SPAT, a newly suggested mobile learning delivery format in digital environments, is an acronym of Still Picture, Audio and Text. In this format, the learning material is packaged into a series of scenes which each consists of a matching still picture, audio and text. Since SPAT-based material is small in size and provided as a download method, it can be suggested as suitable format for mobile learning, which has various advantages over video material provided by streaming method. This study was conducted on five music major students and one instructor who teaches them in the intermediate drum practice course. Flipped learning material on rhythm learning was developed in SPAT format and was delivered via mobile phone and tablet PCs, by an application called gglearn. Flipped learning classes were conducted for a total of 3 weeks, and then qualitative data were collected through in-depth interview from students. The results of the study show that there are meaningful positive effects such as 1) In-depth understanding of learning materials 2) Improvement of self-confidence of learners 3) Increase of interaction between instructor and learner 4) Reduction of burden on face to face class. In addition, students’ attitudes toward SPAT-based mobile delivery methods were generally positive. These results show the possibility that flipped learning can be used effectively in practical subjects.