bluuebunny/crossref_metadata_2025_split huggingface dataset:
SOLUSI PERSAMAAN DIFERENSIAL BIASA ORDE TINGGI DENGAN METODE POLINOMIAL DAN RUNGE KUTTA
Authors: Sitompul Hery Andi , Siahaan Enzo W. B. 
Published: May 2024

Pembahasan mengenai solusi numerik dari persamaan diferensial biasa orde tinggi masih tergolong jarang dibahas oleh para ilmuwan. Metode yang paling populer untuk menentukan solusi numerik dari persamaan diferensial biasa orde tinggi adalah metode Runge Kutta, maka dalam tulisan ini akan dibahas metode pendekatan polinomial untuk menentukan solusi dari persamaan diferensial orde tinggi membandingkannya dengan metode Runge Kutta terhadap nilai eksak. Diperoleh bahwa metode polinomial dapat menghampiri nilai eksak dengan sangat baik yang dapat dilihat dari nilai persentase rata – rata galat mutlak pada dua kasus yang diberikan yaitu 0.0746% pada kasus pertama dan 0.1460% pada kasus kedua. Sedangkan pada metode runge Kutta 0.5045% pada kass pertama dan 5.3066% pada kasus kedua.
POST-FITTING PRACTICES AMONG TRANSFEMORAL AMPUTEES AT ARUA REGIONAL REFERRAL HOSPITAL. A PROPOSED STUDY.
Authors: Asianzu Sylvia Cynthia , Katende Joseph 
Published: May 2024

Background
Prosthetic fitting aims to enable the patients to achieve maximum functional independence considering the patient’s pre-amputation lifestyle, their expectations, and limitations. Activities to maximize independence in everyday life include self-care like dressing, feeding, bathing, and toileting among others with or without prostheses. Post-fitting management refers to follow-up activities performed by the rehabilitation team after the amputee has been fitted and discharged with a prosthesis to ensure maximum functional independence amidst the gait training and the accurate static and dynamic alignments done by the orthopedic technologists, patients have continued to present with these problems. Post-fitting management is essential to achieve the functional independence of the amputee. And it needs to be a continuous process. A person with an amputation in the prosthetic phase can continue to improve greatly if he is taught about the major goals of the post-fitting stage Therefore, post-fitting management needs to be reinforced and made continuous to prevent such occurrences among transfemoral amputees. The study aims to assess fitting practices among transfemoral amputees at Arua Regional Referral Hospital.
Discussion
There is a a need for continued studies about prosthetic fitting whose aim is to enable patients to achieve maximum functional independence considering the patient’s pre-amputation lifestyle, expectations, and limitations. Proper assessment of post-fitting practices among transfemoral amputees will shed more light on the progress of management amputees and establish the existing challenges and areas of concern that may need to be addressed by both the patients and health workers. The findings of the assessment may contribute to the overall prognosis of current and future post-fitting patients and offer a foundation for further research.
SỰ ĐỀ KHÁNG KHÁNG SINH VÀ SỰ HIỆN DIỆN CỦA CTX-M-1 Ở VI KHUẨN ESCHERICHIA COLI ĐƯỢC PHÂN LẬP TẠI BỆNH VIỆN ĐA KHOA THÀNH PHỐ CẦN THƠ
Authors: Nguyễn Nhựt Thắng , Trương Thị Bích Vân , Lê Trung Sơn , Nguyễn Hồng Hà , Phạm Thị Ngọc Nga 
Published: May 2024

Đặt vấn đề: Một số nghiên cứu cho thấy vi khuẩn Escherichia Coli (E.coli) là một trong các chủng điển hình có tỷ lệ đề kháng kháng sinh cao từ 18-57,3% trong bệnh viện. Mục tiêu: Khảo sát sự đề kháng kháng sinh và sự hiện diện của gen CTX-M-1 ở vi khuẩn E.coli được phân lập tại Bệnh viện Đa khoa Thành phố Cần Thơ. Đối tượng và phương pháp nghiên cứu: Nghiên cứu mô tả cắt ngang trên 148 chủng vi khuẩn E.coli được phân lập tại Bệnh viện Đa khoa Thành phố Cần Thơ từ tháng 6 năm 2023 đến tháng 3 năm 2024. Kết quả: Đơn vị ICU và mẫu bệnh phẩm mủ có số lượng E.coli được phân lập cao nhất lần lượt là 31,1% và 47,3%. Có đến 63,5% vi khuẩn E.coli thuộc nhóm siêu đề kháng, 34,5% thuộc nhóm đa đề kháng và 2,0% thuộc nhóm toàn kháng. 29,1% vi khuẩn E.coli phát hiện có gen CTX-M-1 bằng kỹ thuật PCR. Tỷ lệ xuất hiện gen này liên quan có ý nghĩa thống kê với tỷ lệ siêu đề kháng và đa đề kháng kháng sinh (p<0,05). Kết luận: Các chủng E.coli phân lập tại Bệnh viện Đa khoa Thành phố Cần Thơ có tỷ lệ đa kháng kháng sinh cao và gần 1/3 chủng được tìm thấy có mang gen CTX-M-1.
PENGARUH THE LEARNING CELL TERHADAP KEMAMPUAN PEMECAHAN MASALAH
Authors: Dhewy Risdiana Chandra , Innanih Hidayatul 
Published: May 2024

The Learning Cell is a form of cooperative learning model. In this model one of the students has to act as a tutor. The Learning Cell can also help students understand difficult subject matter. The Learning Cell model provides opportunities for students to learn and explain to their friends according to their abilities. This study aims to determine the effect of the Learning Cell on problem solving abilities. The type of research is quantitative with a One-Shot Case Study design with a population of all class VIII students of SMP YPM 2 Sukodono, data collection was carried out during a pandemic so that the sample was only 10 students from class VIII-A using a simple random sample. Data collection techniques using observation, tests, and interviews. The purpose of observation is to assess the activities achieved by teachers and students during learning, tests are used to assess students' abilities after learning, and interviews are used to obtain research supporting data. From the results of the analysis, it is found that the assumptions are fulfilled, the residuals are normally distributed, are homogeneous, and there is no correlation between the residuals. While the partial regression obtained = 0,428 and 2,306, so (-2,306) (0,428) (2,306). Finally, H0 is accepted or there is no effect of the Learning Cell on problem solving ability.
BASIC SCIENTIFIC APPROACHES TO UNDERSTANDING THE CATEGORY OF LEGAL NATURE
Authors: ХАБИБУЛЛИН А.Р. 
Published: May 2024

В статье выделяются и анализируются основные научные подходы к пониманию правовой природы как правовой категории. Автор полагает, что таковыми выступают философский, субстанциональный, социологический, формально-юридический и лексический подходы. При этом им раскрываются качественные признаки, на которых акцентирует внимание каждый из методологических приемов познания.
The article highlights and analyzes the main scientific approaches to understanding the legal nature as a legal category. The author believes that these are philosophical, substantial, sociological, formal legal and lexical approaches. At the same time, they are exposed to the qualitative features that each of the methodological techniques of cognition focuses on.
GUARANTEES OF THE RIGHTS AND DUTIES OF A LAWYER WHEN REVIEWING THE MATERIALS OF A CRIMINAL CASE
Authors: ПИРОЖЕНКО Я.Л. 
Published: May 2024

В статье раскрыты проблемные вопросы ознакомления адвоката с материалами уголовного дела при завершении стадии предварительного расследования.
The article reveals the problematic issues of familiarization of the lawyer with the materials of the criminal case at the end of the preliminary investigation stage.
ON THE ISSUE OF PROTECTION OF CREDITORS' RIGHTS FROM NOMINAL (IMAGINARY) DEBTOR'S ASSETS HOLDERS
Authors: АМБАРЦУМОВ Р.А. 
Published: May 2024

В статье рассмотрены актуальные проблемы защиты прав кредиторов от недобросовестных действий должников, которые «записывают» свое имущество на мнимых собственников.
The article considers actual problems of protection of creditors' rights from unfair actions of debtors who «write down» their property on imaginary owners.
GAPS IN THE LEGAL REGULATION OF INFORMATION DISSEMINATION ON THE INTERNET THROUGH THE PRISM OF THE «RIGHT TO BE FORGOTTEN»
Authors: ТВОРУН К.И. 
Published: May 2024

Научная статья посвящена вопросам исследования правовых аспектов удаления персональных данных в условиях глобальной цифровизации. В работе обозначаются краеугольные проблемы определения роли механизмов регулирования «права на забвение» с юридической точки зрения, а также формулируются предложения по совершенствованию элементов правовой системы, влияющих на аспекты защиты таких данных. Автором освещаются проблемы нормативного разрыва между правами человека как физического лица вне сети «Интернет» (офлайн) и потребностями как онлайн-пользователя. Особое внимание уделяется анализу расширения прав человека, заключающегося в праве не подчиняться алгоритмическим решениям искусствен- ного интеллекта, а также различиям традиционных и новых цифровых прав.
The scientific article is devoted to the research of legal aspects of personal data deletion in the context of global digitalization. The paper identifies the cornerstone problems of determining the role of mechanisms for regulating the «right to oblivion» from a legal point of view, and formulates proposals for improving the elements of the legal system affecting the aspects of protection of such data. The author highlights the problems of the normative gap between the rights of the individual as a natural person outside the Internet (offline) and the needs as an online user and the needs as an online user. Special attention is paid to the analysis of the expansion of human rights, which consists in the right not to be subject to algorithmic decisions of artificial intelligence, as well as the differences between traditional and new digital rights.
Numerical Simulation of Motion Test of Bionic Amphibious Quadruped Robot
Authors: Jie Zhao  
Published: May 2024

Bionic amphibious quadruped robots are a huge leap in robotics, with the ability to navigate various terrains with agility and efficiency. In this study, the researchers utilized numerical simulations of motion tests to assess the locomotion skills of these extraordinary robotic systems. They learned a lot about their functioning and problems by rigorously analyzing performance parameters across various terrains and conditions, such as terrain adaptability, traversal speed, energy efficiency, stability, and manoeuvrability. The results they obtained highlighted the importance of adaptive control algorithms and mechanical designs in maximizing traversal speed and energy economy, especially while negotiating difficult terrains. In addition, the study demonstrated the interdisciplinary character of research in bionic amphibious quadruped robots, drawing on insights from biomechanics, control theory, robotics, and computational modelling. By combining previous research and utilizing computational simulation approaches, they opened the road for the creation of versatile and durable robotic systems capable of navigating difficult terrains and surroundings with precision and efficiency. Future research efforts could focus on improving design and control, investigating novel propulsion mechanisms, adaptive locomotion tactics, and biomimetic control algorithms to improve performance and adaptability. Addressing the challenges identified in the research and seizing opportunities for innovation will drive the development of robotic systems that push the limits of locomotion capabilities and open up new possibilities for applications in exploration, search and rescue, environmental monitoring, and beyond.
Improved Adaptive Network-Based Fuzzy Inference System Approach for Power Flow Analysis in Interconnected DC Microgrid
Authors: K Saravanan  
Published: May 2024

High-performance power conversion needs are becoming more and more important for microgrid applications. In actuality, many contemporary DC distribution systems use isolated bidirectional dc-dc converters. Hence, in this paper, an Improved Adaptive Network-based Fuzzy Inference System (IANFIS)is developed to control the output power of the components and reduce the variation among the consumption and generation of the power while managing a constant DC bus voltage. This work proposes a power management control strategy that ensures the power balance of a stand-alone DC microgrid where DAB converters link the battery energy storage (BES) unit and the renewable energy source (RES). The generation side, or photovoltaic (PV) system and BES, is coupled to the storage systems and renewable energy sources. Furthermore, a DC microgrid is connected to the load demand. The load demand is compensated with the help of the storage and generation systems with the help of a dual active bridge converter. The DAB is connected with the dual DC microgrid system for managing power flow among the two DC microgrids. This dual active bridge converter is utilized to balance the power among Dual DC microgrids. The proposed methodology is developed to manage the power among generation and load demand management. The proposed method is evaluated on a dual active bridge converter connected microgrid system with the components of PV and BESS respectively.
Enhancement of Power Quality through the Implementation of a Hybrid Artificial Intelligence Model within Solar-Wind Energy Systems
Authors: Rambabu.yerra  
Published: May 2024

The generation of electricity is significantly assisted by hybrid solar-wind power systems, which also play a crucial role in the advancement of intelligent grids. Furthermore, the integration of wind and solar energy storage control systems, in conjunction with energy markets, has rendered the electricity grid more economically feasible. To meet the growing demand for electricity, hybrid renewable energy systems connected to microgrids consist of substantial identifying elements. The issue of harmonic distortion in microgrids arising from nonlinear loads is a fundamental area of research. Understanding the impact of microgrids on power quality is also of great importance. This study focuses on enhancing power quality in solar-wind hybrid systems by incorporating emerging Artificial Intelligence (AI) methodologies.
The proposed approach comprises two main components: (i) detection of distortions caused by voltage fluctuations and (ii) improvement of power quality through an AI-based control system. Initially, power distortions are identified and eliminated using the Enhanced Kalman Filter (EKF) algorithm. A Hybrid Artificial Neural Network with Fuzzy Intelligence (HANFI) model is then developed based on this power data. This model integrates two prominent neural network architectures with fuzzy systems. Experimental validation of the system is conducted using MATLAB, which facilitates the simulation of hybrid energy systems.
Blockchain-Based Secure Management of Digital Credentials for Interns
Authors: Poonam Verma  
Published: May 2024

Since the onset of the pandemic of COVID-19, the academic world has been making efforts to popularize micro-credentials. In medical education, medical interns would become doctors in their specific specializations. For becoming doctors, the medical interns would apply for a doctor’s license which requires the authorities to verify the credentials of the medical interns. The present paper presents a secure application deploying Blockchain to manage the micro-credentials and the specializations earned by the interns. This paper highlights the stackability of the Medical Portfolio Management System for Medical Interns. It describes an innovative approach to develop a decentralized immutable secure personal details management for organizing the digital micro-credentials earned by the Medical Interns based on their skills/specializations. Most of the platforms have worked on the concept of the stackability of micro-credentials. The portfolio Management can request for certification, aggregation, and synchronization of Personal Profiles (MIP) in a local repository or wallet. Further, such a portfolio management network is feasible and immune to many of the vulnerabilities while sharing the credentials.
A Machine Learning Approach for Detection and Classification of Colon Cancer using Convolutional Neural Network Architecture
Authors: Subrata Sinha  
Published: May 2024

In both developing and developed countries, cancer has become one of the most fearsome health ailments in the 21st century. Among the different variants of cancer, colon cancer is the 3rd most prevalent cancer globally and the 2nd deadliest form of cancer. Early diagnosis is very critical for the successful treatment of colon cancer. In recent times, machine-learning approaches have made significant strides in IoT-assisted healthcare systems. Computer-aided diagnostic systems driven by deep learning algorithms can detect colon cancer with great accuracy, assisting the medical profession in quick diagnosis and developing quick remedies against it. In our approach, we have developed a deep learning model based on convolutional neural network architecture to accurately classify and detect colon cancer. The developed model has been trained with 10,000 histopathological images of the colon, divided into two classes: colon adenocarcinoma and colon benign tissues, each containing 5000 images. We have also employed various performance metrics in our research to monitor the performance of our machine-learning model. The proposed model has been trained for 30 epochs with a batch size of 32 and achieved an overall accuracy of 98.79%.
Efficacy of stromal vascular fraction for knee osteoarthritis: A prospective, single-centre, non-randomized study with 2 years follow-up
Authors: Jeyaraman Madhan , Jeyaraman Naveen , Jayakumar Tarun , Ramasubramanian Swaminathan , Ranjan Rajni , Jha Saurabh Kumar , Gupta Ashim 
Published: May 2024

BACKGROUND
Current osteoarthritis (OA) treatments focus on symptom relief without addressing the underlying disease process. In regenerative medicine, current treatments have limitations. In regenerative medicine, more research is needed for intra-articular stromal vascular fraction (SVF) injections in OA, including dosage optimization, long-term efficacy, safety, comparisons with other treatments, and mechanism exploration.
AIM
To compare the efficacy of intra-articular SVF with corticosteroid (ICS) injections in patients with primary knee OA.
METHODS
The study included 50 patients with Kellgren-Lawrence grades II and III OA. Patients were randomly assigned (1:1) to receive either a single intra-articular SVF injection (group A) or a single intra-articular ICS (triamcinolone) (group B) injection. Patients were followed up at 1, 3, 6, 12, and 24 months. Visual analog score (VAS) and International Knee Documentation Committee (IKDC) scores were administered before the procedure and at all follow-ups. The safety of SVF in terms of adverse and severe adverse events was recorded. Statistical analysis was performed with SPSS Version 26.0, IBM Corp, Chicago, IL, United States.
RESULTS
Both groups had similar demographics and baseline clinical characteristics. Follow-up showed minor patient loss, resulting in 23 and 24 in groups A and B respectively. Group A experienced a notable reduction in pain, with VAS scores decreasing from 7.7 to 2.4 over 24 months, compared to a minor reduction from 7.8 to 6.2 in Group B. This difference in pain reduction in group A was statistically significant from the third month onwards. Additionally, Group A showed significant improvements in knee functionality, with IKDC scores rising from 33.4 to 83.10, whereas Group B saw a modest increase from 36.7 to 45.16. The improvement in Group A was statistically significant from 6 months and maintained through 24 months.
CONCLUSION
Our study demonstrated that intra-articular administration of SVF can lead to reduced pain and improved knee function in patients with primary knee OA. More adequately powered, multi-center, double-blinded, randomised clinical trials with longer follow-ups are needed to further establish safety and justify its clinical use.
A model of dynamic planning of medical support for combat troops. A new look at the requirements and capabilities of the medical component
Authors: Gielerak Grzegorz Gerard , Murawski Piotr 
Published: May 2024

Wprowadzenie i celDoświadczenia wojny w Ukrainie pokazują, że sukces w dziedzinie zabezpieczenia medycznego ludności może zapewnić jedynie służba kompletna, dopasowana do charakteru działań operacyjnych, korzystająca z rozwiązań pozwalających wykorzystać najnowsze osiągnięcia organizacyjne i technologiczne z obszaru zdrowia oraz opieki. Celem badania było opracowanie nowej metody dynamicznego planowania zabezpieczenia medycznego wojsk walczących poprzez modelowanie procesów opieki medycznej pola walki, służącej zwiększeniu skuteczności i efektywności zarządzania zasobami systemu ochrony zdrowia oraz poprawie zdolności operacyjnych wojsk walczących.Materiał i metodyModelowanie procesów opieki medycznej pola walki oparto na powszechnie uznanych czynnikach operacyjnych – sile, czasie i obszarze, rozszerzając tę grupę o dodatkowy, istotny z punktu widzenia organizacji pracy medycznych jednostek polowych parametr – bezpieczeństwo, przypisując jednocześnie wszystkim zmiennym właściwą, odpowiadającą przedmiotowi zagadnienia charakterystykę i interpretację.WynikiOpracowano propozycję modelu kalkulacyjnego, na bazie którego skompilowano narzędzie analityczne pozwalające elastycznie dostosowywać oraz łączyć cele i potrzeby opieki medycznej – regulowane skalą i strukturą strat sanitarnych – z postępami w przebiegu operacji wojskowej w części zależnej od jej dynamiki oraz zdolności do prowadzenia manewru.WnioskiProponowany model szacowania potrzeb medycznych w części dotyczącej zabezpieczenia operacji wojskowych jest zaawansowanym metodycznie i równocześnie łatwym w użyciu narzędziem wspomagania decyzji w zakresie planowania oraz organizacji opieki. Integruje wiedzę na temat występowania oraz rozpowszechnienia najważniejszych czynników określających warunki i możliwości prowadzenia pomocy medycznej oraz potrzeby i oczekiwania wynikające z zamierzeń taktycznych i operacyjnych. Optymalizuje procesy zabezpieczenia medycznego pola walki. Ogranicza ryzyko błędów w najbardziej wrażliwych, kluczowych dla powodzenia operacji wojskowej obszarach. Wzmacnia odporność systemu ochrony zdrowia na działania hybrydowe i militarne, dostarczając kluczowych informacji dotyczących bieżących potrzeb w zakresie jego organizacji i funkcjonowania w powiązaniu z planami taktycznymi, operacyjnymi oraz strategią obrony państwa. Prowadzona za jego pomocą koncentracja i koordynacja zasobów medycznych, zarówno natywnych, przypisanych do ugrupowania bojowego, jak i znajdujących się w przestrzeni operacyjnej, tworzy środowisko zapewniające wysoką skuteczność i efektywność udzielanej pomocy.