bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Latihan Kelincahan Terhadap Keterampilan Menggiring Bola Dalam Permainan Sepak Bola Pada Siswa SMP Negeri 7 Tondano
Authors: Zulkifly A. S Mashanafi  , Bacilius Sukadana  , Serli Ompi
Published: October 2024

The problem in this study is: Is there an effect of agility training on dribbling skills in soccer games for students of SMP Negeri 7 Tondano. Research objective: to determine the effect of agility training on dribbling skills in soccer games for students of SMP Negeri 7 Tondano. Research hypothesis: there is an effect of agility training on dribbling skills in soccer games for students of SMP Negeri 7 Tondano. The method used in this research is experimental method with the treatment in the form of agility training which is given for eight weeks. The population was all 20 grade 9 students, then divided into two groups, 10 students in the experimental group and 10 students in the control group. Data collection instrument: Test dribbling (Dribling) in a soccer game. The research design used: Randomized control groups pre-test and post-test design. Hypothesis testing using statistical techniques with the t test. The results of the hypothesis analysis, obtained t observations of tob = 9.772. while from the critical value table t with a significant level α = 0.05; n1 + n2-2 obtained t table value of tab = 2.101. This fact shows that the value of tob = 9.772 > tab = 2.101, thus the null hypothesis (Ho) is rejected and the alternative hypothesis (Ha) is accepted.
Karakteristik Kondisi Lingkungan Fisik dan Praktik Pemberantasan Sarang Nyamuk Terhadap Kejadian Demam Berdarah Dengue di Kota Medan
Authors: Vicky Arfeni Warongan
Published: October 2024

Dengue hemorrhagic fever is a communicable disease which is caused by dengue virus and transmitted through the bite of Aedes aegypti or Aedes albopictus. The high prevalence rate of dengue hemorrhagic fever is resulted from the poor condition of physical environment and practice of mosquito nest eradication. The research objective was to know the characteristics of condition of physical environment and practice of mosquito nest eradication (referred to as PSN) toward dengue hemorrhagic fever incident in Medan, in 2024. This is an descriptive research. The population was 98 households in Medan; the samples were 49 households. The data were collected through questionnaires and observations. The data analysis methods consisted of univariates. The univariate analysis results demonstrated that the dengue hemorrhagic fever cases had higher prevalence rate in August (41%) at Puskesmas PB Selayang II (43%), and had dominant attack on 3-14 year old people (39%) as well as on females (59%). It is recommended that Puskesmas and local government are expected to work togenther in implementing mosquito nest eradication program and for the community is expected to pay attention to lighting at home an water reservoirs both inside and outside the home.
Pengaruh Pendidikan Kesehatan Tentang Gadget terhadap Pengetahuan Remaja di MTs Darul Arafah Raya
Authors: Huwaina Af’idah
Published: October 2024

The devices that people use most often today include computers, tablets, smartphones and smartwatches. The aim of this study was to determine the effect of health education on knowledge in Teenagers. This research method is a quasi experimental pre test and post test. This research was conducted on May 2 2024 at the Darul Arafah Raya Islamic Boarding School Jalan Berdikari.1A Lau Bakeri Village, Sampe Cita, Kec. Kutalimbaru, Deli Serdang Regency. Data collection uses direct questionnaire techniques, namely face to face with respondents. The number of samples obtained in this study was 60 people, targeting junior high school students in grade 8 or with an age range of 13-15 years. The data collection tool used in this research was an observation sheet. The results of this study show that there is a significant difference between the level of knowledge before (pre-test) and after (post-test) education about the Influence of Gadgets on Adolescent Health at MTS Darul Arafah Raya. Conclusion: The results of this study show that significant effects of Health education on knowledge in teenagers at Mts Darul Arafah Raya.
Manifestasi Klinis dan Neuroimaging Pada Sindrom Dandy Walker
Authors: Irbi Eki Habibi  , Andriyani Andriyani
Published: October 2024

Dandy Walker syndrome is a rare malforation of the central nervous system characterized by expansion of the fourth ventricle, widening of the posterior fossa, agenesis or dysplasia of the cerebellar vermis accompanied by upward dislocation. This disease occurs more often in women and the etiology is still unknown, but it is related to a combination of genetic and environmental factors. Dandy Walker syndrome is often not detected initially unless clinical manifestations in the form of hydrocephalus occur. This is interesting to discuss considering the low diagnosis of Dandy Walker Syndrome. Diagnosis is based on clinical symptoms and radiological images on antenatal ultrasound, CT scan and MRI. Management of Dandy Walker Syndrome can include surgery to reduce hydrocephalus, physical and occupational therapy, and pharmacotherapy to control neurological symptoms. The lack of diagnosis of Dandy Walker Syndrome makes this an interesting matter to review in the literature.
Hubungan Pola Pemberian Makan dengan Kejadian Stunting pada Balita Usia 12-59 Bulan di Wilayah Kerja Puskesmas Gunung Tinggi Desa Sukaraya Tahun 2024
Authors: Chainny Rhamawan  , Hildayani Karo-Karo  , Marta Imelda Br Sianturi  , Chandra Juita Pasaribu
Published: October 2024

Stunting is a form of malnutrition which is characterized by an indicator of height according to age. The TB/U indicator provides an indication of chronic nutritional problems as a result of a long-standing condition. The aim of this research is to determine the relationship between feeding patterns and the incidence of stunting in toddlers aged 12-59 months in the working area of the Gunung Tinggi Community Health Center, Sukaraya Village.  This research uses correlational research with a cross-sectional approach. The population in this study were mothers who had stunted toddlers. Respondents in this study were 85 respondents, taken using purposive sampling technique. The independent variable in this research is feeding pattern. The dependent variable in this research is stunting. Data was collected using a questionnaire and the toddler's height was measured using a microtoise and converted into a standardized value (z-score). Data were analyzed using the Spearmen's Rho test with significance α=0.05. The research results showed that there was a significant relationship between feeding patterns and the incidence of stunting in toddlers aged 12-59 months (p=0.002; r=0.326). The relationship that occurs is a weak relationship and the relationship between these variables is in the same direction, meaning that the better the feeding pattern, the level of stunting incidents in the working area of ​​the Gunung Tinggi Community Health Center, Sukaraya Village will decrease, so the feeding pattern must be improved. Therefore, nurses and other health workers must increase health promotion regarding good feeding patterns for toddlers.
Manajemen Asuhan Kebidanan pada NY.S Masa Nifas Fisiologis 3 Hari Post Partum di PMB BD. Riyanti, STR.KEB Bangetayu Kulon Genuk Kota Semarang Provinsi Jawa Tengah Tahun 2024
Authors: Irma Suryani  , Febriana Sari  , Riyanti Riyanti  , Sonia Novita Sari  , Juliana Munthe
Published: October 2024

postpartum period is the period a woman goes through, starting after giving birth to the products of conception (baby and placenta) and ending up to 6 weeks after giving birth. During the postpartum period, the reproductive organs will slowly experience changes to the state before pregnancy. This change in the reproductive organs is called involution. Postpartum care is needed during this period because it is a critical period for both mother and baby. It is estimated that 60% of maternal deaths due to pregnancy occur after delivery and 50% of postpartum deaths occur within the first 24 hours. Postpartum care is carried out to reduce maternal mortality because the postpartum period is a critical period that needs monitoring. Results: care for NY "S" with post partum physiology 3 days ago with complaints that the stomach still felt bloated and little milk came out and during these 3 days no potential problems were found such as signs of mastitis, blocked breast milk, breast abscess, and breast cancer . However, the breast milk comes out a little because there is no stimulation by the way the baby breastfeeds on the mother, the uterine contractions are good and the lochia is appropriate. Conclusion: From the case study after examining and analyzing data on mothers and mothers 3 days postpartum at PMB NY Bd. Riyanti in 2024, the postpartum period is proceeding normally, vital signs are within normal limits and documentation and actions have been carried out on NY "S" with the result that no gaps were found between the theory and the cases obtained.
Comparison Between Unit Cost Results of The ABC Method And INA-CBGs Rates For BPJS Patients With Caesarea Sectio Action at Rumah Sakit Graha Sehat Probolinggo
Authors: Susanti Sugianto  , Yanuar Ramadhan  , Erry Yudhya Mulyani  , Rokiah Kusumapradja  , Nofierni Nofierni
Published: October 2024

Delivery using the caesarean section method is one of the JKN-KIS services which has experienced a significant increase in cases from year to year at Graha Sehat Probolinggo Hospital. The general tariff applied by the hospital is IDR 10,800,000, which is 206.15%, far above the INA CBGs tariff of IDR 5,238,800, making the hospital feel the need to carry out descriptive quantitative research using the ABC method and DD method. Then the unit cost results of the ABC method are compared with the INA-CBGs rates. The results of this research show that the unit cost of the ABC method is IDR 5,484,214, which is IDR 245,414 (4.68%) greater than the INA-CBGs tariff. The potential efficiency that can be achieved results in savings of IDR 665,295 so it is hoped that the unit cost of the ABC method will be IDR 4,818,919. IDR 419,881 (8.01%) smaller than the INA-CBGs tariff. The conclusion is that there is a negative difference between the unit costs of the ABC method and the DD method and the INA CBGs rates. Hospitals should submit a tariff review to BPJS, including a review of the provision of separate tariffs for baby handling costs. Apart from that, hospitals also need to make efficiencies by reducing length of stay, reviewing medical services, efficiency in laundry units and CSSD, speeding up RME, as well as efficiency in several other resources while still prioritizing patient safety
Research on Quantifying and Evaluating Tennis Match Momentum Based on Comprehensive Analytical Methods
Authors: Liu Shaoxukang , Liu Houjiang , Cao Hong
Published: October 2024

Momentum is crucial in tennis matches, influencing player performance and match outcomes. However, quantifying and evaluating momentum has long been a challenge in sports science research. This study aims to quantify momentum in tennis matches by establishing a hierarchical analysis-based model for momentum flow. The model analyzes factors affecting momentum through five criteria: Service Level, Catch Level, Competition Result, Finishing Ability, and Winning Streak, with respective weights of approximately (0.1, 0.1, 0.2, 0.4, 0.2). Subsequently, the study assigns scores to these criteria based on different actions within a match. By multiplying the weights and scores, the momentum of each player is quantified, and the ratio of the two players' momentum provides a measure of momentum flow during the match. To assess the impact of momentum on match outcomes, the study employs k-means++ clustering analysis, violin plot analysis, and point-biserial correlation analysis. The point-biserial correlation analysis reveals a positive correlation coefficient of 0.66 between a player's momentum and their victory. Similar results are derived from the violin plot and clustering analysis. Therefore, it can be concluded that there is a significant association between the direction of momentum flow and a player's success in a match.
Stock Prediction using Deep Learning: A Comparison
Authors: Ti Zhiyao
Published: October 2024

Stock market prediction (SMP) is one of the most important areas in finance that greatly helps investors and financial institutions to anticipate market fluctuations and make wise decisions. This becomes very important in view of the potential challenge of obtaining optimum revenues and effective portfolio management strategies in view of the volatile market environments typically governed by underlying economic and socio-political influences. This paper proceeds to categorize stock prediction works into three principal categories: Convolutional Neural Network (CNN)-based models, Recurrent Neural Network (RNN)-based models, and hybrid models using more than one forecasting technique. We reviewed nine research papers and compared them in view of different datasets to show efficacy distinctions among these methodologies. Our experiments stated that the hybrid models that marry the spatial data processing ability of CNNs to the temporal sensitivity of RNNs outperform other approaches in accuracy and strength of predictions. This synthesis approach captures complex patterns more efficiently as well as relevant to the dynamic nature of financial markets. Results underscore the potential contribution of hybrid frameworks being a leading methodology for future developments in SMP. Further improving these models with the advancements of machine learning and data analytics may likely push the boundaries of what is feasible in financial forecasting.
Research on Microgrid Operational Economy Based on Energy Storage Optimization
Authors: Lan Hanjing , Zhao Zhenlong , Wang Qin
Published: October 2024

With the growing global energy demand and worsening environmental issues, microgrids have gained attention for integrating renewable energy. However, their economic operation is challenged by the volatility of renewable energy, making efficient operation a key research focus. This study collected and integrated microgrid data from three parks and established a microgrid energy storage optimization model using the NSWOA algorithm. Economic indices were calculated through methods like the composite rectangle formula and sensitivity analysis, focusing on key factors such as the price of the main power station and wind power costs. The study found that coordinated configuration of wind, solar, and storage systems improved economic efficiency by 1% to 4% across the three parks. Based on these findings, optimal operation strategies and power purchase plans were developed, with the recommendation that wind power and storage be prioritized during peak periods, supplemented by power purchases from the main grid. Excess power should be stored to reduce the abandonment of wind power generation. This study provides a framework for enhancing the stability and economic viability of renewable energy systems and offers decision support for coordinated wind and storage allocation and economic power purchase strategies.
Systematic Analysis of Image Restoration Methods Based on Deep Learning
Authors: Hu Zhengqi
Published: October 2024

In today's digital age, people often use images to convey information. However, during the process of sending images, they can become damaged for various reasons, causing the images to lose their original meaning. In such cases, image repair is necessary to restore the damaged areas to their original, undamaged appearance. Traditional image repair methods often struggle to produce effective results for highly damaged images. However, image repair using deep learning techniques can address these challenges effectively. This paper will detail the impact of image repair on Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory networks (LSTM), Convolutional Recurrent Neural Networks (CRNN), and other models, as well as the advantages and disadvantages of each approach. From the data, it is evident that combining multiple models for image repair is the most effective method. This approach reduces the consumption of hardware resources and time required for image repair, thereby improving the overall efficiency of the process.
Preface: 6th International Conference on Information Science and Electronic Technology (ISET 2024)
Authors: Eipstein Meredith , Mi Feiqiao
Published: October 2024

We are pleased to announce that the 2024 6th International Conference on Information Science and Electronic Technology (ISET 2024) was successfully held in Venice, Italy during September 07-08, 2024. The objective of this conference is to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in information science, computer applications, mechatronics, electrical engineering, and electronic technology.
This conference provides opportunities for the delegates to exchange new ideas and application experiences face to face, to establish business or research relations, and to find global partners for future collaboration. There were over 50 participants attended ISET 2024. During the conference, the conference model was divided into three sessions, including oral presentations, keynote speeches, and Q&A discussion. Their insightful speeches had triggered heated discussion in the conference. Every participant praised this conference for disseminating useful and insightful knowledge.
We would like to acknowledge all of those who have supported ISET 2024. Each individual and institutional help were very important for the success of this conference. Especially we would like to thank the organizing committee for their valuable advices in the organization and helpful peer review of the papers.
The Conference Scientific Committee
Venice, Italy
Advances in Deepfake Generation and Detection Technologies: Challenges and Opportunities
Authors: Hao Jiayi
Published: October 2024

In recent years, deep learning technology has been exploited to create fake videos, leading to the widespread presence of deepfake content on the Internet. This technology facilitates the production of counterfeit content, including pornographic films, fabricated news, and political misinformation, by altering or substituting the facial data, expressions, and body movements in original videos, as well as synthesizing voices of specific individuals. Various generative tools, such as generative adversarial networks (GANs), are employed in deep forgery, introducing significant risk challenges. Detection technology serves as a crucial countermeasure to mitigate the adverse effects, with methods based on spatial and frequency domain information playing a pivotal role. This paper delves into the generative tools and detection techniques of deepfake technology, examining their principles and applications, and thoroughly discusses the risk challenges encountered. The aim is to furnish references for further research and practical measures, enhancing understanding and management of this technology and its impacts, thereby fostering the advancement and refinement of the field.
The Development and Impact of AI-Generated Content in Contemporary Painting
Authors: Zou Xueqing
Published: October 2024

The paper examines the evolution and impact of generative artificial intelligence (AI) technology in the field of painting, tracing its ascent from the early 21st century. It highlights pivotal developments in AI-generated content (AIGC), starting with Harold Cohen's "AARON" program in the early 1990s, progressing to Yang Zhiping's introduction of generative adversarial networks (GANs) in 2000, and culminating in Robbie Barrat's innovative applications in 2018. These milestones underscore the swift progression and vast potential of AIGC for both technical innovation and artistic expression. This analysis delves into the current landscape of AIGC in painting, identifying key technological advancements such as deep learning, GANs, style transfer, adaptive algorithms, and augmented reality. These technologies have elevated artistic creation to unprecedented levels. However, AIGC also confronts significant challenges, including issues related to copyright and intellectual property, artistic ethics and originality, technical constraints, market acceptance, and socio-ethical and legal concerns. To address these challenges, the paper proposes several solutions: clarifying legal standards, establishing authorization mechanisms, fostering hybrid creative models, enhancing the diversity of training data, promoting public education and outreach, and developing professional training and ethical guidelines.
Research on credit card anti-fraud based on data mining
Authors: Zhang Haolun
Published: October 2024

The research topic of this paper is the field of credit card anti-fraud, using the European credit card data of the past two days in September 2018 for research, describing the data distribution through exploratory data analysis, data normalization, and finally using logistic regression for anti-fraud identification prediction.
Representing Women in the Struggle for Socialism: Alexandra Kollontai and Lydia Chukovskaia as Alternatives to Socialist Realism
Authors: Marik Soma
Published: October 2024

სტატიაში განხილულია ქალ ავტორთა  პოსტრევოლუციური, დისი­დენტური მხატვრული ტექსტები. სოციალისტურ რეალიზმის მეინს­ტრი­მულობის პირობებში, ლიტერატურასა და ხელოვნებაში ქალი პრო­ტაგო­ნისტების გავრცელება მჭიდროდ იყო დაკავშირებული სტალინის კულტის პოპულარიზაციასთან: ქალები ქმნიდნენ „სიყვარულის, პატივის­ცემისა და მორჩილების“ იდეალურ დამოკიდებულებას. მაგრამ ზოგიერთი მათგანი, დისიდენტი  მწერალი ქალები, ეჭვქვეშ აყენებდნენ ამ ნორმებს. ალექსანდრა კოლონტაიმ, რა თქმა უნდა, თავისი რომანები და მოთხრობები მანამდე დაწერა, ვიდრე  სოციალისტური რეალიზმი ერთადერთ სამწერლობო   გზად განიხილებოდა. მისი კრებული „მუშა ფუტკრების სიყვარული“, განსა­კუთ­რებით კი რომანი „ვასილისა მალიგინა“, სხვა არაფერი იყო, თუ არა ტიპური სოციალისტური რეალიზმის რომანი. გენდერისა და კლასის ურთი­ერთ­კავშირის განხილვით, კლასობრივ სოლიდარობაზე და არა პარტიის სიბრ­ძნეზე ფოკუსირებით, სოციალისტური მშენებლობის პირო­ბებში  სექსუ­ალური განთავისუფლების მნიშვნელობის კვლევით, კოლონტაიმ გააკრი-ტიკა ის,  რის წარმოშობასაც  იგი ჭვრეტდა, ახალ იერარქიის პორობებში და,  ასევე, დაუპირისპირდა პატრიარქალური ნორმების ხელახალ წამოწევას, თუნდაც ისეთი რბილი ფორმით, როგორიც  ის იყო 1920-იანი წლების შუა ხანებში,  1930-იან წლებთან შედარებით.
ლიდია ჩუკოვსკაიას „სოფია პეტროვნა“ რომანის ფორმითაა დაწერილი, 1939-40 წლებში, და  აღწერილია ქალის მიერ ტერორის გამოცდილება. სოფია და ნატაშა წარმოადგენს ორ განსხვავებულ პასუხს ტერორზე.
კოლონტაი ხაზს უსვამს კორუფციის ზრდას, ბურჟუაზიული კომ­ფორტის და ბურჟუაზიული ქალურობის მაცდუნებლობას,  პროლეტარი ქალებისა და მათ კლასობრივ და გენდერულ სოლიდარობაზე ფოკუ­სი­რებისგან  განსხვავებით.  ვასილისა  მალიგინას კონტრპოზიცია ნინასთან, მისი ქმრის მეგობარ/საყვარელ  ქალთან,  წარმოადგენს  როგორც სხეულის ენის, ასევე, იდეურ-პოლიტიკური პოზიციების შედარებას. სოფიას და მთლიანად რომანის ევოლუცია ჩუკოვსკაიას ხელში ერთგვარი გამოწვევაა სოცი­ალის­ტური რეალისტური რომანის სტრუქტურის წინააღმდეგ. საბჭოთა ისტორიის სხვადასხვა პერიოდში მოღვაწე ეს ავტორები აფასებენ რეალობას და ეჭვქვეშ აყენებენ მწერალთა ყრილობის  მიერ შემოთავაზებულ   მტკიცე რწმენასა და მისგან მომდინარე კულტურულ პოლიტიკას.
Comparative Study of Cox Proportional Hazard and Accelerated Failure Time Models on Survival of Diabetes Mellitus and Hypertension Patients
Authors: Sani Aliyu , Loko Ibrahim , Obini Nweze , Auwal Abubakar , Babangida Rabiu
Published: October 2024

Comparative analysis of survival models for hypertension and diabetics carried out in this study. The study compared the performance of Cox Proportional Hazard (CPH) and Accelerated Failure Time (AFT) models with and without random effects in analyzing hypertension and diabetes survival data obtained from General Hospital Keffi and General Hospital Nasarawa for the period of five years (2018-2022). Models evaluated include CPH, AFT (Exponential, Weibull, Log-Logistic) and their corresponding random effect counterparts. The Weibull AFT random effect model outperformed all other models in terms of goodness-of-fit, predictive accuracy and interpretability. This model accounted for individual heterogeneity and clustering effects, providing a more nuanced understanding of risk factors’ impact on survival rates. The Weibull AFT random effects model is the most suitable choice for analyzing hypertension and diabetes survival data, offering improved predictive power and insight into the complex relationships between risk factors and time-to-event outcomes. These findings have significant implications for healthcare professionals, policymakers, and researchers seeking to optimize survival analysis methodologies.
THE RATIO BETWEEN HEIGHT AND BODY MASS FOR 8TH GRADE SPECIAL NEED EDUCATION PUPILS
Authors:   Special School Constantin Păunescu, Aleea Istru Street., no. 4, Bucharest, Romania, UȚĂ Vicol Eduard , TĂTARU Tiberiu ,   Constantin Brâncuşi University, Calea Eroilor Street, no. 30, Targu Jiu, Gorj, Romania, VASILE Marinela ,   Special School Constantin Păunescu, Aleea Istru Street., no. 4, Bucharest, Romania, UȚĂ Lizia Ioana ,   Special School Constantin Păunescu, Aleea Istru Street., no. 4, Bucharest, Romania
Published: October 2024

The aim of this research was to compare the Body Mass Index of pupils with mental disabilities enrolled in special educational institutions with the Body Mass Index of students in public educational institutions, in the purpose of adapting/perfecting the learning process in the subject of Physical Education and Sport, in special educational institutions. During this project we decided to verify if there were significant height, weight or BMI differences between the two types of students (students enrolled in special educational institutions and students in the public schools of Bucharest). The poll of the research had been composed of 60 students separated in 4 groups of 15 students each: 2 groups of girls in 8th grade (special education and the correspondent group enrolled in public schools) and 2 groups of boys in 8th grade. Therefore, comparisons have been realized between these two types of students, corresponding with their age and sex. From the point of view regarding the statistical methods used, the mathematical SPSS program had been used, applying the Man-Whitney test as a nonparametric test. The results of the comparisons stated that there were differences in height and weight between the students enrolled in special and public educational institutions. However, when judging by the Body Mass Index of the students there were no significant differences.
ASSESSMENT FOR LEARNING IN PHYSICAL EDUCATION AND SPORT LESSONS
Authors:   Technical University of Cluj-Napoca, Cluj-Napoca, Romania, OLĂNESCU Mihai-Adrian
Published: October 2024

The study focuses on clarifying the terms and purposes of assessment for learning in Physical Education and Sport lessons and how we can use them to support the progress of our students, provides examples of different types of assessment for learning in physical education and explains why teachers should include them as part of their instruction. This article describes the most used forms of assessment in physical education and emphasizes the importance of using them in both physical activity and physical fitness for promoting physical activity. Effective evaluation practices are needed to optimize the effectiveness of physical education programming. Assessment for learning is an essential part of education as it defines whether or not the objectives of teaching are being met, assessment affects decisions about grades and educational needs of students. Assessment for learning involves using it, as part of teaching and learning, in ways that will raise the student`s achievement. Assessments are the tool that physical educators use to measure the skills and fitness levels their students learn and achieve in the Physical Education class. They help to show yourself and others that your students are learning and becoming more physically fit as a result of being in your class. Assessment is very important in Physical Education as it provides information on strengths, weaknesses and educational requirements, it gives students the opportunity to demonstrate what they know and are capable to do, determines student progress and motivates them to improve their performance, informs future planning and teaching and judges which aspects of teaching have been effective or inefficient. Student assessment is “the gathering of evidence about student achievement and making interferences about student progress based on the evidence”. Physical Education teachers collect and track assessment data to make decisions about instruction and to measure student learning continually throughout the learning sequence (SHAPE America, 2014).
STUDY ABOUT THE IMPACT OF THE FREE THROW IN BASKETBALL GAMES ENDED AT THE DIFFERENCE NO GREATER THAN 2 POINTS DURING THE 2018-2019 ROMANIA’S MEN’S NATIONAL BASKETBALL LEAGUE SEASON
Authors:   Faculty of Psysical Education and Mountain Sports Brasov, Transilvania University of Brasov, Romania, OLTEANU Mircea – Ionuț , BONDOC-IONESCU Dragoş ,   PhD Faculty of Psysical Education and Mountain Sports Brasov, Transilvania University of Brasov, Romania
Published: October 2024

Background. Basketball is one of the most popular team sports in the world. It stands out through the finesse, accuracy, fantasy of the technical and tactical exercises, athletes’ height and physical qualities, all of these merged into a competition, which requires team spirit, sacrifice, intelligence and nervous resistance. It is a team sport which demands a large array of technical skills, tactical actions from the simplest to the most complex. This research aims to highlight the importance of free-throws in the economy of basketball games played in the men’s first division through the coefficient of the made free-throws by selecting all the games ended at a difference no greater than 2 points. Objectives. The objectives of this research are: influencing the development of morpho-functional body types, the development of movement quality, the development of a wide tactical knowledge, the introduction of new technical methods, increasing the overall performance. One of the main goals of this paper is to provide a detailed analysis of games ended at a difference of no more than two points. Methods. The methods used in the following research consist of video recording, match statistics and data analysis of official games played in the 2018-2019 Men’s National Basketball League season. Results. The results of this research show that the average made shot percentage of Men’s National Basketball League is 67,9 %. Returning to the problem of developing a tactical cognitive process regarding the importance of the free-throw, we need to mention that the foundation of this process is knowing the basics of the game, on which we can build and perfect the skills acquired along the years. Conclusion. The free-throw in the basketball game it’s taken in various muscular effort conditions. Thus, the players can benefit of a free-throw after greater or lesser effort. The content of the training, its effectiveness and variability are important to achieve for this purpose. The free-throw is a test of finesse, high coordination, accuracy, in which the information received from the brain an essential role. The basketball game requires an equal development of the entire complex of motor qualities through its wide motor content and the variety of movement it requires. This is why the players need a continuous and perseverant preparation.
Global Power Struggles: Geopolitical Tensions and Resource Conflicts in the 21st Century
Authors: Krishna Pasupuleti Murali
Published: October 2024

Abstract: This chapter examines the complex geopolitical dynamics and resource conflicts shaping global power struggles in the 21st century. It explores how competition for critical resources such as oil, gas, water, and strategic minerals is driving tensions between major powers and emerging economies. The chapter analyzes the role of energy security, water scarcity, and the competition for rare earth elements in influencing global alliances, regional conflicts, and economic dependencies. Case studies on the Russia-Ukraine conflict, water disputes in the Nile Basin, and China’s dominance in rare earth minerals provide insights into how resource scarcity exacerbates geopolitical rivalries. The chapter also addresses the rise of new alliances, such as BRICS, and their impact on global governance. In exploring pathways to resolving resource conflicts, the chapter emphasizes the need for international cooperation, sustainable resource management, and diplomatic mediation to prevent future conflicts and foster global stability. Keywords: geopolitical tensions, resource conflicts, energy security, water scarcity, rare earth elements, strategic minerals, emerging economies, global power dynamics, BRICS, Russia-Ukraine conflict, Nile water disputes, China, resource scarcity, international cooperation, global governance, sustainable resource management.
Exploring Deep Q-Network for Autonomous Driving Simulation Across Different Driving Modes
Authors: Setiawan Marcell Adi , Setiadi De Rosal Ignatius Moses , Astuti Erna Zuni , Sutojo T. , Setiyanto Noor Ageng
Published: October 2024

The rapid growth in vehicle ownership has led to increased traffic congestion, making the need for autonomous driving solutions more urgent. Autonomous Vehicles (AVs) offer a promising solution to improve road safety and reduce traffic accidents by adapting to various driving conditions without human intervention. This research focuses on implementing Deep Q-Network (DQN) to enhance AV performance in different driving modes: safe, normal, and aggressive. DQN was selected for its ability to handle complex, dynamic environments through experience replay, asynchronous training, and epsilon-greedy exploration. We designed a simulation environment using the Highway-env platform and evaluated the DQN model under varying traffic densities. The performance of the AV was assessed based on two key metrics: success rate and total reward. Our findings show that the DQN model achieved a success rate of 90.75%, 94.625%, and 95.875% in safe, normal, and aggressive modes, respectively. Although the success rate increased with traffic intensity, the total reward remained lower in aggressive driving scenarios, indicating room for optimization in decision-making processes under highly dynamic conditions. This study demonstrates that DQN can adapt effectively to different driving needs, but further optimization is needed to enhance performance in more challenging environments. Future work will focus on improving the DQN algorithm to maximize both success rate and reward in high-traffic scenarios and testing the model in more diverse and complex environments.
A note on the telegraph type differential equation with time involution
Authors:   Department of Mathematics,
            Bahcesehir University, Istanbul, Turkiye, Allaberen Ashyralyev
Published: October 2024

In the present paper, the initial value problem for the telegraph type involutory
in t second order linear partial differential equation with damping term is
investigated. The equivalent initial value problem for the fourth order partial
differential equations to the initial value problem for this second order linear partial
differential equations with involution and damping term is obtained. Applying the
operator tools, the stability estimates for the solution and its first and second order
derivatives of this problem are established.
Boundary value problem with a spectral parameter
Authors:   Baku Engineering University,
            Baku, Azerbaijan, F.A. Israfilov
Published: October 2024

In this paper we consider one class of irregular boundary value problems for
ordinary differential equations of third order. Their defective coercivity is
investigated and the defect of coercivity is found and the area of defective coercivity
is determined, which proves the existence of a unique solution of the problem. An
estimation of the solution has obtained.
Optimizing opinion influence in multi-zone context: Strategies in agree-disagree
models
Authors:   Laboratory of Analysis, Modeling
            and Simulation, Faculty of Sciences Ben M’SIK, Hassan II University of
            Casablanca, Sara Bidah
Published: October 2024

In this paper, we aim to investigate optimal control to a mathematical model that
describes agreedisagree opinions during polls in a multi-zone framework. We first
present the model and recall its different compartments and we present some properties
of the multi-zone model. We formulate the optimal control problem by supplementing our
model with a functional objective. Optimal control strategies are proposed to reduce the
number of disagreeing people in a targeted zone and the cost of interventions. We prove
the existence of solutions to the control problem, and we employ the Pontryagin’s
maximum principle to find the necessary conditions for the existence of the optimal
controls and Runge- Kutta forward-backward sweep numerical approximation method is used
to solve the optimal control system, and perform numerical simulations using various
initial conditions and parameters to investigate several scenarios.
Interconnected Supply Chain Management and Logistics: Key to Driving Business Success
Authors: Rahman Faisal , Anwar Danish , Faizanuddin Md.
Published: October 2024

Introduction: Supply Chain Management (SCM) and logistics are crucial elements in the success of any business, particularly in today's interconnected global economy. Effective integration of these functions enhances operational efficiency, reduces costs, and creates a competitive advantage.Objective: This paper explores the role of interconnection in supply chain management and logistics, highlighting the importance of seamless collaboration among all stakeholders. With the rise of digital technologies, such as Artificial Intelligence (AI) and the Internet of Things (IoT), the connectivity between various parts of the supply chain is improving, enabling real-time data sharing and greater responsiveness.Methodology: The Kaggle kernel "gelarerouzbahani/data-analysis-supply-chain-optimization" performs data analysis with a focus on optimizing supply chain processes.Result: By examining case studies and industry trends, this research emphasizes how interconnected supply chains are key to business growth and resilience in a dynamic marketplace.Conclusion: The analysis of the supply chain dataset has provided valuable insights into sales performance, revenue distribution, stock levels, and shipping costs
Evolution of the relationship between gentrification and urban planning
Authors: Jiménez Zapata Elvia María
Published: October 2024

This article examines the evolution of the relationship between gentrification and urban planning during the period 2018-2023, using a mixed approach that combines bibliometric and scientometric analysis. The study focuses on how urban planning policies have influenced gentrification patterns and the social, economic and environmental dynamics of cities. As gentrification has gained prominence as a mechanism of urban revitalization, it has also raised concerns about the displacement of vulnerable communities and disruption of the social fabric. This analysis provides a comprehensive view of emerging trends in the literature on gentrification and urban planning, highlighting the need for more inclusive and sustainable approaches in urban policy formulation. The main currents of thought and challenges facing contemporary cities were identified, key recommendations were offered to mitigate the negative impacts of gentrification and promote equitable urban development
Gentrification of tourism: a bibliometric study in the Scopus database
Authors: Aristizábal Valbuena Chris Nathalie
Published: October 2024

The study provides a comprehensive analysis of how gentrification and tourism intertwine and affect urban environments. Using a bibliometric methodology to review publications between 2018 and 2023, the study identifies the main trends and dynamics in the literature on this topic. The results reveal a growing academic interest in the interaction between gentrification and tourism, with a geographic concentration of studies in Europe and North America, although research is also emerging in Asia and Latin America. Key words highlighted in the literature include sustainability and social impact, highlighting concerns about equity and access to tourism benefits for local residents. This bibliometric analysis offers valuable insights into the consequences of tourism gentrification and suggests the need for more inclusive policies that balance economic development and social justice in urban contexts transformed by tourism
The gentrification of health: an analysis of its convergence
Authors: Chaves Cano Ana María
Published: October 2024

The article explores how gentrification impacts public health, with a particular focus on urban transformations and their repercussions on communities. Using a desk review methodology in the Scopus database, this study analyses the literature between 2018 and 2023 to identify how changes in urban structure influence the accessibility and quality of health services. It highlights that while gentrification can improve infrastructure and services, it can also exacerbate health inequalities and lead to the displacement of vulnerable populations. The analysis reveals the need to adapt medical education to these new urban challenges and suggests future lines of research to develop more equitable interventions. This multidisciplinary approach offers valuable insights for more inclusive policies that consider both urban development and health equity
Brucellosis Presenting as Immune-mediated Thrombocytopenia in a Young Indian Male
Authors:   Department of General Medicine, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India, Singh Jivtesh , Vadali Shruti ,   Department of Medicine, Gomel State Medical University, Gomel, Belarus, Badole Prashant ,   Department of General Medicine, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India
Published: October 2024

Brucellosis has previously been described to cause thrombocytopenia through various mechanisms, but an autoimmune phenomenon secondary to molecular mimicry has been infrequently reported in a handful of case reports. We present a case of a young male with no significant past medical history who presented with bleeding from his gums, the presence of black, tarry stools, petechial skin rashes, and epistaxis persisting over four weeks. Physical examination revealed pallor and splenomegaly. Preliminary investigations showed low red blood cells and platelet counts. A working diagnosis of immune thrombocytopenia (ITP) was made, and management was initiated with methylprednisolone and intravenous immunoglobulins; however, the platelet counts remained low despite the intervention. Further workup revealed increased megakaryocytes on bone marrow biopsy. Serum Brucella IgM was positive. Given this, doxycycline and gentamicin were initiated, resulting in marked improvement in cell counts after a week of therapy. Hence, a high clinical suspicion for brucellosis should be maintained in cases of isolated thrombocytopenia, especially in endemic areas.
The repeated treatment of targeted therapy in the treatment of skin melanoma
Authors: Pudina A. V. , Orlova R. V. , Antimonik N. Yu.
Published: October 2024

Currently, patients with disseminated forms of skin melanoma have limited treatment options. The most effective treatments, according to research, are targeted drugs BRAF/MEK inhibitors when a mutation in exon 15 of the BRAF gene is detected in tumor biopsy tissue and immune synapse modulators, specifically anti-CTLA-4 and anti-PD-1 drugs. Both classes of drugs show a significant benefit in overall and progression-free survival, but convincing data on their effectiveness in second and subsequent lines of therapy are still lacking. Most often, with the progression of disseminated skin melanoma during tyrosine kinase inhibitor therapy, a dual immunotherapy combination is used. In the event of further progression, due to the limited treatment options, clinical oncologists face questions about the possibility of returning to targeted therapy, changing tyrosine kinase inhibitor drugs, or using the initial combination, and their impact on progression-free survival in choosing treatment strategies for such patients, as well as the potential use of BRAF/MEK inhibitors. Assessing the reuse of tyrosine kinase inhibitor drugs is a highly relevant issue in clinical oncology.
Surgical treatment of brain metastases: problems and nuances
Authors: Korzenev D. A. , Aliev G. B.
Published: October 2024

Brain metastases are the most common type of intracranial tumor formation. Modern treatment of brain metastases is a complex problem and traditionally patients with central nervous system lesions have a poor prognosis. However, advances in systemic drug therapy, advances in radiation treatments, and a multidisciplinary approach that individualizes the differential approach to each patient have significantly improved survival rates in this group of patients. Surgical resection plays an important role in the treatment of brain metastases. In this article, we discuss the evolving role of surgery in the treatment of this diverse group of patients with brain metastases.
Participatory Communication in Community-Based Tourism Development in Bireuen
Authors: Satria M Deddy , . Subhani , Ginting Reza Pahlevi
Published: October 2024

This study examines community participation in tourism development, especially in Community Based Tourism (CBT). By referring to the concept of tourism communication, this study aims to provide an overview of the role of individuals or community groups in encouraging the growth of tourist destinations. This study is expected to identify inhibiting and supporting factors in the implementation of participatory communication, as well as formulate recommendations to strengthen community participation in tourism development. Therefore, the selection of locations and informants, namely nature tourism business actors and the Regency Tourist Bireuen , is considered appropriate because it is in accordance with the characteristics of the research. The use of qualitative methods is expected to answer all questions that will be studied in this study.