bluuebunny/crossref_metadata_2025 huggingface dataset:
The association of infectious and parasitic pathogens in the etiology of chronic stomatitis and feline gingivostomatitis: a multifactorial approach
Authors: Caravalho Danielle Oliveira Lima , Pires Hannah , Oliveira Thalles Miguel de , Costa Ana Carolina Messias de Souza Ferreira da , Moreira Marcela Brennand Pina , Romeiro Edenilze Teles , Cavalcanti Rafael Luiz Pinheiro , Pontes Melissa Barbosa , Ferreira Maria Nazaré Santos , Silva Isabel Cristina Barbosa da , Laranjeira Arthur Camillo de Souza , Correia Landerson Lucas Rodrigues , Silva Mariana de França Oliveira da
Published: January 2025

Feline chronic gingivostomatitis (FCGS) is a common pathology located in the oral cavity of felines. It has a chronic nature and generally presents as intense inflammation and ulcerative and ulcerative-proliferative lesions on the oral mucosa. It is a disease considered severe and rapidly progressing. It is considered a challenge for veterinarians, as its etiology is not defined, limiting its treatment and making the prognosis guarded. Chronic gingivostomatitis is considered a multifactorial disease and may be related to different etiological agents, nutritional management, environmental stress, bacteria, viruses and a relationship with the immune system of the affected animal. The association of these factors can lead to bacterial tartar plaques, mucosal hyperemia, halitosis, sialorrhea, among others. Felines aged 7 to 10 years are the most affected, but it can occur in younger or older cats. The Persian, Siamese, Abyssinian, Himalayan and Burmese breeds have a higher incidence, and are considered by some authors to be predisposing breeds. The patient's sex is not relevant, as both are affected. The complaint of recurrences is recurrent, because, due to the challenges encountered in finding a totally efficient protocol, the result of these has presented variable reactions to the treatments used by each veterinarian, however, the surgical intervention, carried out by extracting the molar and premolar teeth, has if considered more appropriate, with the aim of preventing the proliferation of bacteria, stopping the most intense inflammation and providing the patient with quality of life. It is important to highlight, in order to clarify, that, if partial or complete removal of the teeth is necessary, the animal will continue with its normal routine, as felines are not dependent on the extracted teeth for food. It is concluded, after exposing the challenges and clinical difficulties of FCGS that the present work aims to review the literature, discuss its clinical aspects, aiming to explain the clinical part, possible treatments, recommended surgical procedures and their prognosis.
Relevância da Inteligência Artificial na medicina contemporânea: uma revisão integrativa da literatura
Authors: Reis Pedro Geraldi , Medeiros Rodolfo de Oliveira , Gradim Maria Eduarda de Aragão , Avezum Valentina Carvalho Haddad , Zonetti Vitória Furlan , Santos Vítor de Mello Oliveira , Castro Matheus de , Fabretti Sophia Munhoz , Pelielo Natália Rosa , Santos Victor Tamura dos , Justus Leonardo Todeschini , Rossetto Ana Luiza , Souza Júlia Rodrigues de Almeida , Reis Jordana Geraldi , Gradim Neto Otávio
Published: January 2025

Introdução: Considerando os diferentes âmbitos tecnológicos contemporâneos na saúde, a Inteligência Artificial (IA) tem se mostrado cada vez mais constante nas práticas médicas, refletindo alto potencial para modificar a forma como os médicos realizam diagnósticos e tratamentos, considerando sua precisão no cuidado ao paciente. Objetivo: Analisar e refletir sobre a relevância da IA nas práticas médicas contemporâneas. Método: Trata-se de uma Revisão Integrativa da Literatura realizada nas bases de dados Literatura Latino-Americana e do Caribe em Ciências da Saúde (LILACS), Scientific Electronic Library Online (SciELO), Índice Bibliográfico Español en Ciencias de la Salud (IBECS), Medical Literature Analysis and Retrieval System Online (MEdLINE) e Centro Nacional de Informação de Ciências Médicas de Cuba (CUMED). Os critérios de inclusão foram artigos disponíveis na íntegra, nos idiomas portugês, inglês ou espanhol, publicados entre os anos de 2018 a 2024. Os de exclusão foram livros, teses, dissertações, reflexões teóricas e editoriais. Resultados e discussão: Foram selecionados 14 artigos para compor a discussão. No cenário médico, através de algorítmos e sistemas computadorizados, a IA mostrou-se relevante no suporte ao diagnóstico de diferentes doenças, na melhora da acurácia de exames de imagem médica, no armazenamento, organização, proteção e análise de dados do paciente e no controle e monitoramento de parâmetros vitais do paciente por diferentes dispositivos eletrônicos. Considerações finais: Na contemporaneidade, a IA tem impactado de forma relevante o campo médico, qualificando as práticas assistenciais, os diagnósticos e os exames de imagem, além de repercurtir de forma positiva na terapêutica e prognósticos, tornando a assistência médica mais eficiente e adaptada às necessidades de cada paciente.
The Construction and Application of an Employment Quality Evaluation System for Master’s Graduates in Public Administration
Authors: Qin Keke , Yu Yong
Published: January 2025

With increasing attention to the employment quality of public administration graduates, traditional single metrics such as employment rate and salary level fail to fully capture graduates' career development and societal contributions. In public administration, graduates' sense of social responsibility, career progression, and societal influence should serve as essential dimensions for evaluating employment quality. This study aims to construct a multi-dimensional evaluation framework for assessing the employment quality of public administration master's graduates, integrating factors such as employment rate, salary level, career development potential, social contributions, and job satisfaction, thereby providing a comprehensive assessment. For practical implementation, a core index system incorporating hard indicators, soft indicators, and social value metrics is proposed. The study emphasizes that the objectivity and fairness of the evaluation can be enhanced through mechanisms such as graduate follow-up surveys, third-party evaluations, and support from alumni and industry associations. Moreover, gradual dissemination and the selection of pilot universities are critical strategies for facilitating the system's implementation.
Research Progress on the Treatment of Diabetic Foot Ulcers with Traditional Chinese Medicine Preparations
Authors: Che Xiance , Zhang Tengfei , Gao Yanfei
Published: January 2025

Diabetic foot ulcer (DFU) is a prevalent and severe complication in diabetic patients, characterized by high morbidity, challenging treatment, prolonged healing duration, and substantial medical costs. It stands as a primary cause of disability and even mortality among diabetics. Traditional Chinese medicine (TCM) preparations, including ointments, granules, powders, and decoctions, have demonstrated remarkable efficacy in accelerating wound healing in diabetic patients. Modern pharmacological research reveals that TCM formulas and their active constituents effectively facilitate diabetic wound healing through multifaceted regulatory mechanisms, influencing cell proliferation, angiogenesis, collagen deposition, oxidative stress, and inflammation. This article primarily summarizes the TCM preparations that are efficacious in treating diabetic wounds, aiming to provide a reference for future in-depth research and clinical application.
Evaluation and Function Zoning of Geological Environment Carrying Capacity in Changping District, Beijing
Authors: He Haiyang , Gao Xinzhi , Liu Jingyang , Xu Wenyan , Huang Weiqiang
Published: January 2025

The carrying capacity of the geological environment to human activities is limited, and the maximum limit of this carrying capacity is the geological environment carrying capacity. It is necessary to scientifically understand the concept of geological environment carrying capacity from two dimensions: the geological environmental conditions (the carrier) and human activities (the load). Changping District, Beijing, is an important district north of the capital city, and it has conspicuous locational advantages in diverting non-capital functions and achieving high-quality development. By following Beijing's strategic positioning as the "four centers," Changping District will rationally define the regional functions, adhere to the constraint of resource and environment carrying capacity, impose district-wide control of the population, land use, and construction scale, promote development with reduced resource consumption, and optimize the regional spatial structure. In this context, it is urgent to carry out research on geological environment carrying capacity in the development planning activities under the new concepts in a new era. This paper evaluates the background carrying capacity and bearing state of the geological environment in Changping District of Beijing by using the hierarchical comprehensive index method. The evaluation has determined the degree of favorable geological environmental conditions as well as the degree of impact from human activities on the geological environment and resources. Based on this, geological environment function zoning is conducted, and recommendations on regional development and eco-environmental protection are presented.
The Matching Relationship and Formation Mechanism of Supply and Demand Space of Shadow Education: A Case Study of the Main Urban Area of Lanzhou City
Authors: Liu Juanqin , Lei Dehong , Luo Zhanfu , Zheng Wei
Published: January 2025

Shadow education is an unofficial educational form with specific tutoring groups formed outside the mainstream education system. This study takes the main urban area of Lanzhou City as the research object and uses mathematical modeling methods to specifically identify the supply and demand relationship of shadow education space and analyze its formation mechanism. The results show that: 1) In terms of demand space, the residential space basically presents a continuous patchy distribution, the mainstream education space presents an approximately balanced "point-like" distribution, and the comprehensive demand space presents a distribution trend where continuous residential space and point-like mainstream education space are superimposed. The supply space of shadow education shows an aggregated distribution in the central business district, a transitional distribution in the transition zone, and a scattered distribution in the peripheral zone. 2) The over-supply areas of shadow education are mostly distributed in the prosperous commercial areas of each group, the under-supply areas are mainly distributed in the development zones, shantytowns and other areas with relatively sparse population in the peripheral zone, and the supply balance areas are mainly distributed in the relatively less populated Anning, Xigu and the transitional zones between the central business districts and peripheral zones of each group. 3) The matching relationship between the supply and demand spaces of shadow education is the result of the consideration of two factors in the site selection process of shadow institutions: the dependence on the source of students and the externalities generated by the agglomeration effect.
The Degradation of Tetracycline Hydrochloride by Iron Sludge-Based Catalyst/Persulfate System
Authors: Fu Chen , Huang Lihua , Zhu Kai , Sun Qing
Published: January 2025

Advanced oxidation processes are one of the effective means for degrading tetracycline hydrochloride (TCH) in water. Using pickling iron sludge as the raw material, an iron sludge-based catalyst was prepared through a two-step hydrothermal method, and an iron sludge-based catalyst/persulfate system was established to degrade TCH in water. Experimental data show that the iron sludge-based catalyst/persulfate system exhibits high efficiency in TCH degradation. This experiment demonstrates that simple modification of pickling iron sludge can be transformed into a low-cost, high-efficiency catalyst.
Research Progress of SLC38A5 in Disease Progression
Authors: Zhang Ping , Jia Haocheng , Ran Qishan
Published: January 2025

The family of membrane proteins known as amino acid transporters (AAT) is responsible for regulating the transmembrane transportation of amino acids. Featuring 458 transporters grouped into 65 families, the solute carrier (SLC) superfamily is the largest family of transport proteins. Every family plays a crucial part in cellular physiology and exhibits unique substrate specificity and tissue distribution aspects. In order to preserve intracellular metabolic homeostasis, they control the absorption and efflux of crucial molecules such as ions, glucose, fatty acids, and amino acids. They are also essential for differentiation, cell division, and signal transmission. SLC38A5 (also called SNAT5, SN2), a member of the SLC family, has steadily gained attention in recent years as research has become more thorough. The X chromosome contains the gene that codes for SLC38A5, which is a sodium-dependent neutral amino acid transporter with 11 transmembrane domains. It makes it easier for sodium ions and amino acids to move across the membrane simultaneously. It is involved in a variety of cellular processes, and illnesses like cancer, neurodegenerative diseases, and metabolic disorders are intimately linked to its abnormal expression or malfunction. Its distinct function in the development of disease has drawn more and more attention. This article examines new research on SLC38A5 in immunology, metabolic disorders, cancer, and neurodegenerative diseases that was found using databases like Web of Science and PubMed. We provide an overview of SLC38A5 biology in this review, focusing on new discoveries on its function in the development of disease. The structure, distribution, physiological activities, and properties of SLC38A5 are all covered in this discussion, along with its pathogenic roles and potential therapies in particular diseases.
Research on the Application of Neutron Detection in The Identification of The Effectiveness of Munitions
Authors: Zhao Bohao , Zhou Yongtao , Xie Chen , Zeng Yizhi
Published: January 2025

The identification of the effectiveness of munitions faces many challenges today, such as problems in detection speed, accuracy and adaptability to complex environments. Neutron detection technology, characterized by non-invasiveness and high sensitivity, can provide an effective solution to these problems. Neutron detection technology is used for munitions effectiveness identification, and the application scenarios include battlefield assessment, storage security and many other fields. One of its major benefits is the ability to assess the status and accuracy of munitions in real time. This study systematically analyzes and explores the advantages and limitations of neutron detection technology in identifying the effectiveness of munitions, gives theoretical support to the practical application of neutron detection technology in identifying the effectiveness of munitions, and also points out the direction of future research.
The Institutional Opening-up of the Guangdong-Macao In-Depth Cooperation Zone from the Perspective of New Quality Productive Forces: Connotational Characteristics, Logical Evolution, and Path Selection
Authors: Li Xiaonan , Yin Zhixing
Published: January 2025

The rapid changes led by new quality productive forces are impacting today's society, bringing unprecedented challenges to the construction of an institutional opening-up system in Guangdong-Macao In-Depth Cooperation Zone. The development of new quality productive forces and the institutional opening-up of the Guangdong-Macao In-Depth Cooperation Zone promote each other. Meanwhile, the institutional opening-up aimed at new quality productive forces faces numerous challenges in the planning and development of the Guangdong-Macao In-Depth Cooperation Zone, including institutional barriers, insufficient resource allocation, and an unstable international environment. Enhancing the industrial linkage between Hengqin and Macao, increasing Macao's elements in Hengqin, fully leveraging Macao's platform advantages, attracting high-quality industries, and cultivating professional talents suitable for the new quality industries are effective approaches to tackle these challenges.
Proposal for a BIM Adoption Framework in the Syrian Engineers Syndicate: A Case Study of the Homs Branch
Authors:   Master in Building Information Modelling and Management, Syrian Virtual University, Nour Nour ,   Director of the Master's Program in Building Information Modelling and Management, Syrian Virtual University,   Master in building information modelling and mangement,Syrian virtual University, .. Sonia , Safour Raghad
Published: January 2025

The application of the Building Information Modelling (BIM) concept has become an indispensable necessity in the Architecture, Engineering, Construction, and Operations (AECO) sector. This has been evident in the experiences of numerous Arab and foreign countries that have changed their policies and issued new standards, guidelines, and codes for implementation. In Syria, we must also embark on the reconstruction phase, with its massive investment projects, using BIM technology. The primary driver of this change will undoubtedly be the government sector by imposing new policies at all levels across all institutions. Therefore, this study aims to highlight the mechanism of the Syrian Engineers Syndicate as a political authority capable of making structural modifications to the policies followed in carrying out engineering works and, from its position, able to mandate the use of BIM. Accordingly, the researcher analyzed the internal system of the Syrian Engineers Syndicate to examine the required modifications and proposed a framework for adopting BIM in engineering syndicates. The study focuses on establishing a Building Information Modelling and Management Committee within the Engineers Syndicate in Homs Governorate as a case study, suggesting its structure, job titles for its members, and their roles. This study aims to develop current policies and create the first-of-its-kind guide for engineering syndicates in Syria. The researcher relied on the content analysis method of previous studies to benefit from international experiences related to the importance of activating the government’s role in adopting the BIM concept. Additionally, the researcher adopted the strategic plan methodology for the adoption of BIM in Syria, considering it the general guide and leader in the digital transformation process in Syria
Integrating Building Information Modeling (BIM) into Architectural Education: Pedagogical Challenges and Future Prospects: Case Study: Tartus University
Authors:   Building Information Modeling Management Master Student, Syrian Virtual University,Syria, Zeina Zeina ,   Lecturer Professor at the Faculty of Engineering, Tishreen University, Syria,   Structural Engineering, Faculty of Engineering, Cairo University, Giza, Egypt, .. Rana , Youssef Waleed Mahfouz M. A.
Published: January 2025

This study investigates the challenges hindering the integration of Building Information Modeling (BIM) into architectural curricula in Syria, particularly at Tartus University. Despite growing industry recognition of BIM's benefits, academic institutions have exhibited initial resistance. The study analyzes existing BIM curricula, compares them to global benchmarks, and identifies key obstacles such as weak industry-academia links, insufficient resources, traditional teaching methods, and a lack of BIM expertise among faculty. To address these challenges, the study proposes a framework that includes strengthening industry-academia partnerships, enhancing financial and technical support, updating curricula and pedagogy, investing in faculty development, and establishing BIM centers of excellence. By implementing these strategies, Syrian universities can effectively integrate BIM into their curricula, bridging the gap between academia and the professional architectural community.
Performance Optimization of Transmission Gate-Based D Flip-Flop using Clock Gating Technique
Authors:   Assistant Professor, Department of ECE, Knowledge Institute of Technology, Salem, Tamil Nadu, India, Tamilselvan Tamilselvan ,   Assistant Professor, Department of ECE, Knowledge Institute of Technology, Salem, Tamil Nadu, India,   PG Scholar, Department of ECE, Knowledge Institute of Technology, Salem, Tamil Nadu, India, T. Devika. , S. Anitha.
Published: January 2025

This work investigates into the meticulous analysis of the Transmission Gate (TG) based D Flip-Flop integrated with dynamic XOR-based clock gating, aimed at analyzing power consumption patterns and potential power savings across varying frequencies. While power consumption inherently reduces with smaller technology nodes, but this work demonstrates that dynamic clock gating can achieve further power savings, especially at higher operational frequencies and lower data activity. The outcomes represent a deeper understanding of power optimization techniques for sequential circuits. The analysis is performed using Cadence Virtuoso in a 90nm technology process, which determine the sophisticated interaction between design elements and power dynamics. Through comprehensive simulations, the power consumption of TG-based D flip-flops is meticulously examined across diverse technology nodes. Furthermore, the efficacy of integrating dynamic XOR-based clock gating to this flip-flop design is explored, unveiling its potential to yield substantial power savings. The research underscores the multifaceted nature of low-power design strategies, emphasizing their relevance across various hierarchies including system, architecture, circuit, and device levels. While advancements in technology nodes naturally lead to reduced power dissipation, this study illuminates the additional power-saving opportunities presented by the dynamic XOR-based clock gating approach. Especially, in this investigation highlights the significance of this approach particularly in scenarios characterized by higher frequencies of operation and low data activity. By leveraging dynamic XOR-based clock gating, the research showcases how power efficiency can be further augmented, offering insights into enhancing the overall energy efficiency of digital systems. In summary, this project provides a nuanced understanding of power dynamics in TG-based D flip-flops, shedding light on the intricate balance between technology advancements and innovative design methodologies for achieving optimal power efficiency. Through meticulous analysis and simulation, it unveils a promising avenue for realizing significant power savings, thereby contributing to the advancement of low-power design paradigms in modern digital systems.
Efficacious Framework for The Detection of Link Flooding Attack in Mobile Ad Hoc Network
Authors:   Assistant Professor, Department of ECE, Mahendra Engineering College, Namakkal, Tamil Nadu, India, D. D. ,   Professor, Department of ECE, Mahendra Engineering College, Namakkal, Tamil Nadu, India,   PG Scholar, Department of ECE, Mahendra Engineering College, Namakkal, Tamil Nadu, India, .. D. , Samitha B.
Published: January 2025

A novel honey pot deception trace back model, or honey pot IDS, is offered. The system is located on the server, which is the site of network intrusion deceptions. From there, it keeps an eye on all incoming traffic and uses nodes that carry out network weight age studies to continuously weigh the data. For every client connected to the server, it serves as a construct to look at the packet analysis and transmission path to which the IP processed the intrusion detection system. This LF-IDS detects intrusions using both anomaly-based and rule-based intrusion detection methods. By gathering and examining the packets from incoming traffic, the system initially collects data on the packet agent monitoring system. The trespasser is led to a honey pot that will be constructed as a mitigation site.
The Mistake by the River: Chaotic Unreliable Narrative Subverts Solidified Mindset
Authors: Wu Tianyu
Published: January 2025

The Mistake by the River has drawn significant attention since its 2023 premiere. Adapted from Yu Hua's novel, directed by Wei Shujun and starring Zhu Yilong, the film uses 16mm film to reproduce the 90s visual style. It tells a story of a murder case in a southern town where the protagonist, Ma Zhe, faces confusion between reality and falsehood. The film's adaptation process is analyzed based on Linda Hutcheon's theory, showing how it balances fidelity and innovation. It also exhibits characteristics of an art film, with an unreliable narrative and dream plots that reflect the protagonist's inner thoughts. The conclusion of the case reveals the film's deeper meaning about the coexistence of reason and absurdity in the world, challenging the audience's expectations of traditional detective films and providing a new perspective for exploration.
Empowering Educators: Overcoming Challenges in Digital Education for Remote Areas
Authors: Zhang Kexin
Published: January 2025

Though obstacles including poor infrastructure, scarce resources, inadequate teacher training, and policy gaps prevent its successful implementation, digital education presents new chances to enhance instruction in remote areas. This essay investigates these challenges and looks at strategies for empowering teachers in areas with limited resources. Using a combination of case studies and literature analysis, the study finds structural challenges, such as inadequate internet connectivity, an absence of digital tools, out-of-date instructional materials, and restricted access to professional development. Challenges including evaluating student achievement, sustaining engagement in online learning settings, and modifying pedagogy for digital forms are also covered. To address these issues, the results emphasize the value of training teachers in digital pedagogy, culturally sensitive education, and inclusive evaluation techniques. Furthermore, strengthening community collaborations, financing infrastructure, and enhancing government support are essential for long-term digital education. The essay ends with practical suggestions, such as offering affordable digital resources, individualized instruction, and comprehensive teacher support. By bridging the urban-rural gap and promoting long-term educational progress, these policies seek to provide fair access to high-quality education in remote communities.
Reader-Text Interaction: A Feminist Analysis in Pride and Prejudice
Authors: Sun Wenxin
Published: January 2025

In literary studies, reader-text interaction is seen as a dynamic process in which the reader interprets the text through personal experience, cultural background, and other factors, while the text guides the reader's understanding and feelings through its narrative style, characterization, and other elements. Feminism, on the other hand, is a theoretical framework that focuses on gender equality and challenges traditional gender roles. In Pride and Prejudice, Jane Austen demonstrates the expectations and restrictions placed on women by the society of the time through her carefully constructed plot and distinctive female characters. The novel also expresses women's desire for self-knowledge, independence, and the right to love. By analyzing these elements, this paper reveals how readers can engage in a dialogue with the author through the text, understand and reflect on the feminist ideas in the work, and deepen their understanding of gender relations and the status of women in modern society.
Rhythms of Citywalk: How Does Citywalk Influence Urban Habitation and Revitalization in a Chinese Atmospheric Community
Authors: Chen Xiangxiang
Published: January 2025

Originating from Jane Jacob's walking tour, Citywalk has gradually developed into a Wanghong (social media trending) activity, contributing to a revitalized mode of urbanism in post-modernized China. In China, Citywalk connects the walking patterns of urban residents with the Wanghong economy and even with social class dynamics, forming a distinctive research topic. This area of study fills a gap in research on urban residents lifestyles and the middle class within the context of Wanghong economy and urbanism. This research uses short semi-structured interviews and a comparative model, aiming to explore the motivations and experiences of participants in Citywalks, as well as the economic impact they generate. The research location was in Foshan's most historic area - the Chuihong neighborhood, which is situated in the metropolitan area of the Guangdong province. The paper finds that social media in China has significantly influenced urban revitalization, leading to a new kind of gentrification mode. It suggests that the government should allow historical and cultural neighborhoods enough freedom to develop independently. This paper aims to provide strategies for urban revitalization to build a Citywalk-friendly and aesthetically attractive neighborhood in China.
ArthurNote: An AI-Driven Note-taking Platform Eliminating Repetitive Tasks
Authors: Gao Chuxuan , Shi Zhan
Published: January 2025

The note-taking procedure performs a significant role in education and business, offering a simple methodology to schedule routines, emphasize important parts, and review previous events. However, it is tedious and superfluous for students to record common knowledge that already exists in the public domain. Existing online noting platforms can not satisfy our requirements. This paper introduces an innovative approach to enhancing the note-taking experience by integrating large language models (LLM) and cutting-edge development technology within our AI-aided note-taking platform. The development of the new platform is based on a methodology of front-end and back-end separation, and it is empowered by the NoSQL cloud database and online LLM service to increase its scaling ability. With LLMs help in completing, the redundant efforts of users have been eliminated to a large degree.
Optimize the Design of a Lower Limb Rehabilitation Robot Based on a Spring Assisted System
Authors: Wu Sixuan , Huang Ruoshan , Jiang Haotong , Wan Jiaying
Published: January 2025

This paper presents the design and optimization of a lower limb rehabilitation robot featuring a spring-assisted system aimed at improving energy efficiency and user adaptability. The robot incorporates a spring and motor at the knee joint, enabling key functions such as sitting and standing, while providing shock absorption and energy-saving benefits. To further enhance efficiency, a genetic algorithm was used to optimize the key parameters, resulting in a significant reduction in motor energy consumption. The performance was evaluated by comparing the energy usage before and after optimization under varying load conditions, with clear improvements observed. Additionally, load testing was conducted to determine the maximum load the exoskeleton can support within the motor's torque limits. The results demonstrate the design's ability to reduce motor strain while accommodating different user needs. This work emphasizes the potential of spring-assisted exoskeletons in rehabilitation therapy, offering improved performance and practicality. Future improvements should focus on enhancing motion control precision and increasing the load-bearing capacity, ensuring the technology meets growing rehabilitation demands globally.
Enhancing Diabetes Prediction Through Hybrid Deep Learning: Analysis of ML and DL Techniques
Authors: Wang Yuhao
Published: January 2025

This interview investigates how machine learning (ML) and deep learning (DL) techniques are implemented in predicting diabetes, with the goal of identifying the most effective methods for early diagnosis. As diabetes prevalence continues to rise, developing accurate prediction models is essential for enabling timely interventions and reducing related health risks. The research compares traditional ML methods, including Support Vector Machines (SVM), Decision Trees, and Naive Bayes, against advanced DL models such as Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, and a hybrid CNN+LSTM model. The hybrid approach leverages the effectiveness of both CNNs and LSTMs, effectively analyzing data patterns in temporal and spatial respective. Extensive experimental results reveal that the CNN+LSTM model reaches to a dominant accuracy of 98%, significantly outperforming the other evaluated methods. This finding highlights the potential of hybrid deep learning approaches in improving the accuracy of diabetes prediction. The study concludes by discussing the implications of these results and suggests future research directions, including the exploration of more diverse datasets and the application of these models in clinical settings to enhance their generalizability and practical utility.
Analisis Kebutuhan ICT dalam Pengajaran Matematika untuk Meningkatkan Literasi Digital Siswa di Indonesia
Authors: Firmansyah Ricky
Published: January 2025

Technology enables mathematics teaching to be more interactive, visual, and flexible, which can enhance the understanding of complex mathematical concepts. This study aims to analyze the need for information and communication technology (ICT) in mathematics education to improve students' digital literacy in Indonesia. In the rapidly advancing digital era, the integration of ICT in learning is crucial to preparing students for future challenges. This research employs a Systematic Literature Review (SLR) methodology to analyze the literature on the use of ICT in mathematics education. The data sources for this study are secondary data from various relevant studies. Data were obtained from trusted sources such as Google Scholar, Scopus, and JSTOR, and then analyzed using a thematic approach. The findings indicate that while ICT can provide significant benefits, policies that support technological infrastructure improvements and teacher training are necessary. Additionally, students' motivation to use technology in learning should also be considered to make the mathematics learning process more effective. This study provides valuable insights for the development of educational policies and technology-based mathematics teaching practices in Indonesia
Penggunaan PMRI Berbantu Media Jaring-jaring Karakter
Authors: Dwi Aprilia Nesa , Zuliana Eka
Published: January 2025

This research aims to analyze the use of the PMRI (Indonesian Realistic Mathematics Education) approach with the help of character net media in mathematics learning. PMRI is known as an approach that connects mathematics learning with real world contexts to improve students' understanding and abilities. Character web media is used to help students understand mathematical concepts visually and concretely, as well as to increase interaction and collaboration between students. This research was carried out at SDN Karangbener 2. The sample in this research was class 2, consisting of 10 students, namely 5 boys and 5 girls. This research is a type of qualitative research using research methods, namely descriptive qualitative. The data collection techniques used were documentation, interviews and observation. The data analysis process was carried out qualitatively interactively. The results of the research show that the use of PMRI assisted by character net media can increase students' understanding of spatial building material, especially cube and block building.
Major clinical outcomes of the endodontic infections and gut microbiota axis: a systematic review
Authors: Neves Fawana Estolomo de Freitas , Pagioro Yuri Furtado , Castro Fábio Pereira Linhares de
Published: January 2025

Introduction: Endodontic therapy aims to shape, clean, and disinfect the root canal, and is performed by removing all pulp tissue or necrotic remains and microorganisms present in the root canal system. The gut microbiota or specific microbial metabolites not only locally influence the host's inflammatory responses, nutritional intake, or intestinal barrier function, but are also related to the immune and metabolic systems. In addition to antimicrobial activity, calcium hydroxide has properties such as dissolution of organic remnants, anti-inflammatory action, inhibition of inflammatory resorptions, and physical barrier function. Objective: To present the main considerations and clinical outcomes of the relationship between gut microbiota and endodontic infections and highlight endodontic treatment with calcium hydroxide, showing the mechanisms of antibacterial action. Methods: The PRISMA Platform systematic review rules were followed. The search was conducted from September to October 2024 in the Scopus, PubMed, Science Direct, Scielo, and Google Scholar databases. The quality of the studies was based on the GRADE instrument and the risk of bias was analyzed according to the Cochrane instrument. Results and Conclusion: 102 articles were found, 25 were evaluated in full and 09 were included and developed in the present systematic review study. Considering the Cochrane tool for risk of bias, the overall assessment resulted in 35 studies with a high risk of bias and 22 studies that did not meet GRADE and AMSTAR-2. Most studies did not show homogeneity in their results, with X2=79.2%<50%. It was concluded that, in the setting of endodontic therapy, the presence of microorganisms, particularly gramnegative anaerobes, in the root canal system and cementum resorption gaps after root canal treatment is considered one of the main causes of persistent periapical lesions and, therefore, of endodontic treatment failure. The gut microbiota or specific microbial metabolites not only locally influence the patient's inflammatory responses, nutritional intake, or intestinal barrier function, but are also related to the immune and metabolic systems. The change in the microbiota of the oral-gut axis and its interactions with Helicobacter pylori may be potential targets for the diagnosis and infectious treatment of Helicobacter pylori. Calcium hydroxide in endodontics is the most widely used medication to combat pathology-causing bacteria, but when used alone it may not be able to eliminate these microorganisms. The combination of other medications incorporated into calcium hydroxide contributes to positive results with the elimination of more resistant bacteria.
Role of Solar Energy in Achieving Global Net-Zero Targets: Policy and Technological Perspective
Authors: Saad Asadullah Muhammad Hossain , Myat A
Published: January 2025

Solar Energy Essential in Global Drive for Net Zero Emissions This paper sets out to address the complex role of solar power as an enabler for decarbonization, highlighting both policy and technology-related matters. We assess the effectiveness of different policy instruments in fostering solar energy uptake: financial incentives and regulatory frameworks that level the playing field with other technologies or curtail them by limiting, e.g., fossil fuel use, carbon pricing mechanisms, and international cooperation. We also review key technological advancements in photovoltaics, energy storage, and grid integration that are essential for solar energy to play an optimized role in a sustainable energy future. For these intents and purposes, we explore how new technologies such as perovskite solar cells (PSCs), concentrated solar power (CSP), or building-integrated photovoltaics (BIPV) could offer a significant enhancement of efficiency and dynamism in converting sunlight into electricity. Case We explore the dos and don’ts of being a perfect project through stories from successful solar energy integration projects. We assess the challenges and opportunities associated with solar powering in the future, underscoring the provision of cohesive policy as well as technology road-maps to achieve global net-zero targets. Our study underscores the potential of solar energy as a transformative resource. It provides direction to policy-makers, scholars, and industry actors regarding pathways that may accelerate the deployment of this increasingly vital renewable technology.
Interregional research on the early history of musical culture in Slovakia on the example of the two neighbouring regions of Gemer-Malohont and Spiš/Zips
Authors: Petőczová Janka
Published: January 2025

Hudebně-regionální výzkum je jedním z prioritních výzkumných úkolů slovenské muzikologie. Zvláštní postavení má dlouholetý hudebněhistorický výzkum starších dějin Spiše. Dosavadní výzkumy kontaktů spišských hudebních osobností s hudebníky působícími v okolních i vzdálenějších regionech zahrnovaly spišsko-šarišské území, slovensko (uhersko)-polské pohraničí a region Slezska. Kontakty mezi regiony Spiš a Gemer-Malohont dosud nebyly předmětem systematického výzkumu. Cílem předložené studie je analýza meziregionálních hudebních kontaktů právě v těchto dvou sousedních regionech z hlediska hudební topografie. Řešená problematika zahrnuje otázky migrace hudby a hudebníků, působení učitelů na evangelických městských školách a komparaci městského hudebního života v širším středoevropském kontextu.
Unlocking market share growth: The role of service facilities and financial performance in Islamic Banks
Authors: Nurfadila Belinda , Maulana Agus
Published: January 2025

Indonesia, as the country with the largest Muslim population in the world, reaching 237.6 million people or 86.7% of its total population, presents a unique potential for Islamic banking. However, the market share of Islamic banks remains surprisingly low at only 7.09%. This study aims to analyze the impact of service facilities and financial performance on the market share of Islamic banks in Indonesia. Employing panel data regression analysis with Stata software at a 5% significance level, this research reveals that the number of service offices positively and significantly influences the market share, while the Operating Cost to Operating Income (BOPO) ratio has a significant negative effect. Conversely, variables such as the number of ATMs, Return on Assets (ROA), Capital Adequacy Ratio (CAR), Non-Performing Financing (NPF), and Finance to Deposit Ratio (FDR) show no significant impact. These findings provide valuable insights into the factors shaping the market share of Islamic banks and underline the importance of optimizing service facilities and financial efficiency to enhance their competitive position.
Fundamentals of Manufacturing Processes and Material Selection
Authors: SHAMSUDHEEN SHAMNAD ANCHUMURIYIL
Published: January 2025

Engineering and industrial applications rely heavily on manufacturing procedures and material choices, which have a direct impact on the sustainability, cost, and quality of products. A thorough examination of basic manufacturing procedures, including as casting, forming, machining, joining, and additive manufacturing, is given in this study. It also covers the fundamentals of choosing materials, emphasizing their mechanical, thermal, and financial qualities. The study intends to function as a comprehensive resource for engineers and academics in the field of production engineering by fusing theoretical understanding with real-world applications.

Keywords
Manufacturing Processes, Material Selection, Casting, Machining, Additive Manufacturing, Mechanical Properties
FRAUD DETECTION IN FINANCIAL TRANSACTONS
Authors:   Department of Computer Science and Engineering (Joginpally B.R Engineering College), PURUSHOTTAM MAJHI
Published: January 2025

Financial fraud, considered as deceptive tactics for gaining financial benefits, has recently become a widespread menace in companies and organizations. Conventional techniques such as manual verifications and inspections are imprecise, costly, and time consuming for identifying such fraudulent activities. With the advent of artificial intelligence, machine-learning-based approaches can be used intelligently to detect fraudulent transactions by analyzing a large number of financial data. Fraud has been a persistent challenge in the realm of financial transactions, posing significant threats to businesses, financial institutions, and individuals alike. As technology advances and financial systems become increasingly digitalized, the methods and sophistication of fraudulent activities also evolve. This paper explores cutting edge technologies such as machine learning and are revolutionizing fraud detection. By analyzing transaction patterns and employing anomaly detection algorithms, such as CNN  organizations can identify and mitigate fraudulent activities in real time. In response to this ongoing threat, the field of fraud detection in financial transactions has emerged as a critical area of focus for organizations worldwide. In order to identify fraudulent behavior in financial transactions, this research paper suggests a unique technique. Key challenges include handling imbalanced datasets where fraudulent transactions are rare compared to legitimate ones, ensuring the privacy and security of sensitive financial information, and maintaining low latency to prevent delays in transaction processing.
Prosedur Pelayanan Permohonan Paspor Secara Online Di Kantor Imigrasi Kelas I TPI Jayapura
Authors: Rumawak Inggumi , Agusnarto R. Diah , Usulu Rizky Adithia Putra
Published: January 2025

Tujuan Penelitian ini adalah (1) Untuk mengertahui bagaimana prosedur pelayanan paspor secara online di Kantor Imigrasi Kelas I TPI Jayapura, (2) Untuk mengetahui apa saja kendala yang dihadapi dalam memberikan pelayanan. Peranan Imigrasi dalam kepariwisataan nasional adalah dengan memberikan izin masuk dan diberi kemudahan dalam pengurusan izin kunjungan wisata ke wilayah Indonesia. Kantor Imigrasi yang merupakan salah satu lembaga yang memberikan pelayanan antara lain memberikan pelayanan pengurusan paspor ke luar negeri bagi masyarakat yang membutuhkannya sebagaimana dijelaskan dalam Peraturan Menteri Hukum dan Hak Asasi Manusia No. 8 Tahun 2014 tentang Paspor Biasa dan SPLP (Surat Perjalanan Laksana Paspor). Paspor merupakan surat izin bagi kita untuk melakukan perjalanan jauh khususnya keluar daerah yang tidak dikuasai oleh negara asal. Prosedur pelayanan permohonan paspor secara online di Kantor Imigrasi Kelas 1 TPI Jayapura sudah cukup baik karena sudah memenuhi karakteristik prosedur yang dikemukakan oleh Rasto (2015:53) yaitu Efisien, Efektif, Sederhana, Konsisten, Fleksibel dan Diterima. Namun pada pelayanan permohonan paspor secara online masih ada terdapat keluhan masyarakat dan kendala yaitu sistem eror. Sistem eror ini terjadi pada server pusat. Jika server pusat bermasalah maka pelayanan paspor online seluruh Indonesia juga terkendala, sehingga sistem ini belum dapat dikatakan efektif. Terdapat beberapa permasalahan dalam menggunakan aplikasi M-paspor; a) Masih banyak belum paham pada saat daftar akun; b) Kurangnya kualitas jaringan; c) Terkadang smartphone dengan sistem IOS masih terdapat error; d) Masih terdapat bug atau lemot; e) M-paspor masih belum banyak dikenal oleh seluruh masyarakat sehingga masyarakat belum benar-benar memahami aplikasi tersebut; d) Email tidak valid; e) Server Time out; f) Laman website yang tidak bisa dijangkau atau masih error.