bluuebunny/crossref_metadata_2025 huggingface dataset:
Using Digital Twins for Fault Detection and Root Cause Analysis in Mechanical Systems
Authors:   Senior Product Systems Engineer – Systems Engineering, Digital Twin Integration, Mechanical Systems, Pasupuleti Shashank
Published: January 2025

The integration of Digital Twin (DT) technology into mechanical systems has shown significant potential for
enhancing fault detection, diagnostics, and root cause analysis. By creating real-time virtual replicas of physical
systems, DTs facilitate continuous monitoring and provide actionable insights into system behavior. This paper
explores the application of DT technology in mechanical systems, focusing on its role in fault prevention, predictive
maintenance, and root cause analysis. We investigate key aspects such as real-time data synchronization, predictive
maintenance strategies, system optimization, and the use of multi-sensor integration to improve fault detection
accuracy. The paper also examines the challenges associated with implementing DTs in complex mechanical
systems and discusses future directions for research in this field. By leveraging machine learning and advanced data
fusion techniques, Digital Twins enable predictive analytics, improving system reliability, efficiency, and overall
performance. This work highlights how DTs can transform traditional maintenance strategies, leading to more
proactive, data-driven approaches for fault detection and system recovery.

Keywords: Digital Twin, fault detection, root cause analysis, mechanical systems, predictive maintenance, real-
time data synchronization, system optimization, fault prevention, machine learning, predictive models, sensor data,

system performance, anomaly detection, vibration analysis, remaining useful life (RUL), fault recovery, predictive
analytics, system reliability, maintenance strategy, real-time monitoring, virtual model, operational efficiency,
mechanical failure, sensor fusion, failure prediction, condition-based maintenance, fault detection algorithms,
system behavior simulation, data-driven decision making, root cause identification, industrial applications.
The Role of Bayesian Priors in a Marketing Mix Model: A Scholarly Exploration
Authors: Chivukula Varun
Published: January 2025

Bayesian inference has increasingly become a cornerstone of modern data analytics, including applications in
marketing mix modeling (MMM). The inclusion of Bayesian priors allows for the incorporation of prior knowledge
into the modeling process, thereby addressing issues of limited data and model uncertainty. This paper examines the
role of Bayesian priors in MMM, detailing their theoretical foundation, practical implementation, and implications for
decision-making in marketing. Additionally, this study highlights the advantages and challenges associated with
Bayesian approaches and provides insights into how they enhance model robustness and interpretability.

Keywords: Marketing Mix Model (MMM), Bayesian Priors, Markov Chain Monte Carlo Methods
Integration of ESG Data in the Financial Sector (Essential for Sustainable Investment and Risk Management)
Authors: Kalyanam Ashok Kumar
Published: January 2025

The financial industry,
Environmental, Social, and Governance data have
lately become an important factor for responsible
investment and good risk management. ESG data
is a broad array of measures that include climate
risk, corporate governance, labor practices, and
environmental stewardship that financial
institutions may use to assess the sustainability
and ethical impact of their various investments.
The article addresses the importance of ESG data

in underlining climate risks, informing decision-
making, and keeping pace with global

sustainability norms. It looks at the types of data
collected, such as carbon emissions, diversity
metrics, and board structure, and the
methodologies of collection, including surveys,
third-party databases, and IoT-driven monitoring
systems. This article further reviews portfolio
optimization, credit risk, and the regulatory use of
ESG data. Functional comparisons between some
of the popular ESG tools prevalent in the market,
which include Bloomberg Terminal, MSCI ESG
Manager, and Sustainalytics, are made to give
perception into how these different tools function.
With this trend, based on ESG data insights,
financial institutions will show better alignment
with SDG goals, become more transparent, and
minimize long-run risks for the development of a
more sustainable financial ecosystem.
Keywords: ESG data, sustainable investment, risk
management, climate risk, financial sector, ESG
tools, methods of data collection, portfolio
optimization,
Website as a Marketplace for Teleradiology/Telemedicine Solutions
Authors: Kumar Dr V. Ravi , Lakshmi Sree Parasara Sree , Sravani Madhagoni , Praveenkumar Nagamoni , Yashwanth Saggurthi
Published: January 2025

The healthcare industry is rapidly evolving with
advancements in technology, especially in
telemedicine and teleradiology. These fields enable
remote diagnosis and consultation, improving access to
healthcare services globally. In this context the main
and the primary objective of this project is to create a
comprehensive, user-friendly web application that
serves as a centralized marketplace for healthcare
providers and vendors of teleradiology and
telemedicine solutions. The platform will facilitate the
buying, selling, and leasing of telemedicine equipment,
software, and services, thereby enhancing the
efficiency and reach of telehealth services.
COCONUT PREDICTIVE ANALYSIS USING MACHINE LEARNING
Authors: D Ms.ILAMATHI , J Ms. JAYA SREE , V Ms. MONISHA , N Mrs. GAYATRHI
Published: January 2025

“Coconut Predictive Analysis” focuses on leveraging
advanced machine learning techniques to predict the
suitability of coconuts for oil production. The project
employs transfer learning with the Inception V3 model, a
state-of-the-art convolutional neural network (CNN), to
analyze complex patterns in coconut-related data, such as
images of coconuts. Traditional methods for determining
coconut suitability for oil production rely on manual
inspection, which can be time-intensive, subjective, and
inconsistent. By utilizing transfer learning, this project
capitalizes on pre-trained Inception V3 models, which
extract meaningful features from large-scale datasets like
ImageNet, and fine-tunes them for the specific task of
classifying dry coconuts based on their suitability for oil
extraction.
The fine-tuning process involves freezing initial layers to
retain general features while optimizing later layers to
improve prediction accuracy for coconut-specific
characteristics such as texture, colour, and surface
patterns. To ensure accessibility and usability, a Flask
web application is developed. This application enables
users to upload images of coconuts and receive real-time
predictions on their suitability for oil production. The
backend integrates the trained model to process inputs,
extract features, and generate predictions, making it a
scalable and practical solution for agricultural and
industrial applications.
This project demonstrates the potential of transfer
learning in enhancing agricultural and processing
efficiency by reducing training time and computational
costs while providing accurate and actionable
predictions. By combining cutting-edge deep learning
with a user-friendly web interface, it bridges the gap
between advanced AI models and practical applications,
supporting decision-making for farmers, coconut
processing units, and industry stakeholders.

Key Words: Inception V3, fine-tuning, CNN, Flask,
coconut analysis, oil production suitability
DRIVERLESS TRACTOR
Authors: MRITHIP Mr.R , MEIDHARSHANSRI Mr.T , ROHIT Mr.K , SACHIN Mr.M , REVATHI Mrs.M
Published: January 2025

Driverless Tractor into agriculture.The field
of autonomous automation is of interest to researchers,
and much has been accomplished in this area, of which
this paper presents a detailed chronology. This paper can
help one understand the trends in autonomous vehicle
technology for the past, present, and future. We see a
drastic change in autonomous vehicle technology since
1920s, when the first radio controlled vehicles were
designed. In the subsequent decades, we see fairly
autonomous electric cars powered by embedded circuits
in the roads. By 1960s, autonomous cars having similar
electronic guide systems came into picture. 1980s saw
vision guided autonomous vehicles, which was a major
milestone in technology and till date we use similar or
modified forms of vision and radio guided technologies.
Various semi-autonomous features introduced in modern
cars such as lane keeping, automatic braking and adaptive
cruise control are based on such systems. Extensive
network guided systems in conjunction with vision
guided features is the future of autonomous vehicles. It is
predicted that most companies will launch fully
autonomous vehicles by the advent of next decade. The
future of autonomous vehicles is an ambitious era of safe
and comfortable transportation.
KEY WORDS: autonomous vehicles,adaptive cruise
control,embedded circuits.
Student Certificates Authentication and Verification System using Blockchain
Authors: Sekhar Reddy V Chandra , Jammu Keerthana , Vaishnavi Ginna , Jeevan Japala , Ansari Azhar Ahmed
Published: January 2025

Education is essential for everyone, and
throughout their academic journey, students earn
various certificates. These certificates are crucial when
applying for jobs in both public and private sectors,
where they must be manually verified. Unfortunately,
some students may present fake certificates, making it
difficult to detect fraudulent documents. This issue of
counterfeit academic certificates has plagued the
academic community for years. To enhance the security
and integrity of this data, digitization is necessary,
adhering to the principles of Confidentiality, Integrity,
and Availability. Blockchain technology can provide a
solution.
Blockchain technology offers inherent security
features that make it ideal for generating digital
certificates that are tamper-proof and easy to verify.
Each certificate would be associated with a unique hash
key (QR code), allowing any organization to
authenticate the certificate's legitimacy through a
dedicated portal. This system not only reduces the risk
of students losing or damaging their certificates but also
simplifies the validation process. By leveraging

blockchain, we can create a more secure, reliable, and
accessible method for managing academic credentials.
Keywords - Unique Hash Key, QR Code, Education,
Certificates, Blockchain Technology, Security
Hate Speech Automatic Detection
Authors: 5Chidithoti Mahender Mrs Pethota Swaroopa , Alekhya Siripurapu , Reddy Dakuri Sairam , Manaswini Patnam , Mahender Chidithoti
Published: January 2025

This study offers a system studying-primarily based
absolutely device for automated hate speech detection
in textual content the usage of natural Language
Processing (NLP) techniques. fashions like Logistic
Regression and deep mastering algorithms (LSTM,
BERT) are educated on classified datasets with features
extracted via TF-IDF. The system evaluates overall
overall performance using metrics together with
accuracy, precision, keep in mind, and F1-score.
A multilingual translation issue powered with the aid of
Google Translator enables detection across languages.
A Tkinter-based totally GUI allows clients to categorise
remarks in actual-time, making sure accessibility and
simplicity of use. elegance imbalances are addressed

with weighted Logistic Regression, improving
detection accuracy. The gadget demonstrates strong
overall performance, promoting greater communities
with the resource of offering an inexperienced device
for computerized hate speech moderation.
Multilingual Video Summarization using NLP and Machine Learning
Authors: Rajeshwari Dr. P , Manisha B , Sandhya R , Reddy Y. Vivek
Published: January 2025

Multilingual video summarization combines
characteristic dialect handling (NLP) and machine
learning to condense video substance into brief outlines
over different dialects. This consider proposes a novel
system leveraging robotized transcript extraction and
summarization pipelines to create an English rundown,
encourage deciphered into French, Spanish, and German.
Utilizing progressed NLP models like Embracing
Confront Transformers and YouTube Transcript API, our

strategy productively forms recordings to create high-
quality, important outlines within the target dialects.

Comes about highlight the exactness and relevant
pertinence of the interpretations, illustrating the system's
potential in multilingual openness. The discoveries
contribute to bridging etymological obstructions in video
substance understanding and open roads for upgrading
worldwide substance openness.
Key Words: video summarization, multilingual
translation, NLP techniques.
Perencanaan Keuangan Keluarga Di Kampung Nawaripi Distrik Wania Kabupaten Mimika
Authors: Wahab La Ode Abdul , Rerung Ahadi , Fitayanti Sri , Rahmi  , Melmambessy Dani , Syafii Muhamad , Lerebulan Sian Linda , Kakisina Charlota Stella , Jimu La
Published: January 2025

Salah satu komponen dalam Tridharma Perguruan Tinggi adalah kegiatan pengabdian masyarakat. Setiap dosen wajib untuk melakukan pengabdian kepada nasyarakat. Pengabdian yang dilakukan ini untuk memberikan kesadaran warga masyarakat dapat mengelola keuangan keluarga. Pengabdian ini berfokus pada sosialisasi perencanaan keuangan keluarga. Saasaran kegiatan pengabdian masyarakat ini adalah warga di Kampung Nawaripi, Disrik Wania, Kabupaten Mimika. Hasil pengamatan menunjukkan bahwa sebagian besar warga masyarakat Kampung Nawaripi belum melakukan perencanaan keuangan keluarga. Pengabdian Masyarakat pada warga Kampung Nawaripi ini dilaksanakan selama satu hari dan metode yang digunakan adalah sosialisasi dengan model penyampaian materi teori dan memberikan contoh dalam menyusun perencanaan keuangan keluarga. Keberhasilan pengabdian ini dinilai dari warga sangat antusias mengikuti sosialisasi pengelolaan keuangan keluarga ini. Hal ini dapat disimpulkan bahwa pemberian sosialisasi tentang perencanaan keuangan keluarga kepada warga Kampung Nawaripi dapat diterima dengan baik. Untuk kegiatan pengabdian selanjutnya diharapkan mampu memberikan pelatihan yang berkelanjutan sehingga dapat memberikan semangat kepada warga untuk menghasilkan pendapatan sendiri demi meningkatkan kesejahteraan kehidupan keluarganya.
The impact of game reward mechanisms on enhancing elementary school students' English vocabulary acquisition based on the ARCS motivation model
Authors: Yang Ching-Yu , Chang Rong-Chi , Hsieh Sheng-Min
Published: January 2025

As globalization progresses, the need for proficiency in a common language grows, placing emphasis on effective language learning. Vocabulary retention, as a core aspect for students’ language learning, remains challenging for non-native learners. To achieve this, many educational institutions incorporate digital technologies that support long-term memory retention. Game-based learning, especially when integrated with reward mechanisms, has been shown to enhance students’ motivation by providing goal-oriented incentives. This study developed the "Max Vocab Fun" app, an English vocabulary learning tool for third-grade elementary students, incorporating game-based rewards. A one group, pre-test and post-test quasi-experimental design examined the app's impact on students' vocabulary acquisition and motivation. The ARCS Model Learning Motivation Scale used to measure the motivational impact of the app's reward mechanisms. Findings show significant improvement in vocabulary retention, with the gamified approach notably benefiting lower-achieving students. Overall, the app effectively increased motivation and contributed to a more positive learning environment, demonstrating the potential of integrating game-based rewards into language learning to improve outcomes for diverse student groups.
Women Participation and Party Politics in the Gambia’s Democratic Process, 1997-2020
Authors: Omotosho Oyejide Felix , Ayeni Oluwadare Ojo
Published: January 2025

For an all-inclusive party politics in a democracy to be achieved, all members of the society, irrespective of sex, religion and class, must be engaged in the spirit of human rights and freedom. This study investigated women participation in party politics in the Gambia with an established all-inclusive and gender-friendly mechanism under the second republic.  It explored the extent of conformity with global practices and national policy on gendering in the country. The study extrapolated, through the gender lenses that are descriptive in analysis, on women’s participation in party politics with focus on various challenges besetting the process as a result of males’ dominance and government inadequate national policies to address the quagmires. For this reason, efforts are stepped up by human rights activists and gender scholars on how best to continue to address discrimination issues against women and how their participation level could be increased. Findings concluded that, if an all-inclusive party politics is to become realistic and effective in the Gambia, a public-private partnership and government re-strategy, through policy frameworks that are dynamic and pragmatic and which will be consultative enough in nature would be ideal.
Pemberdayaan UMKM melalui Program Distribusi Takjil di Kota Lhokseumawe Aceh
Authors: Fikri Ahmad , Muarif Agam , Razi Ar
Published: January 2025

Umat muslim senantiasa berlomba dalam memberikan infak di Bulan Ramadan. Infaq merupakan salah satu sektor ekonomi syariah yang berperan di bidang sosial. Pengelolaan infak harus efektif untuk menjaga kepercayaan umat muslim yang memberikan dananya. Salah satu permasalahan pengelolaan infak adalah distribusi yang tidak merata di semua kalangan masyarakat. Saat ini masyarakat dapat mendistribusikan infaq melalui lembaga masyarakat. Dana yang terkumpul kemudian didistribusikan dalam bentuk takjil melalui volunteer di seluruh wilayah Indonesia terutama di masjid sekitar kota Lhokseumawe Provinsi Aceh. Metode  metode pengabdian yang digunakan berupa keikutsertaan masyarakat mulai dari pengumpulan dana dari masyarakat, pembuatan takjil melalui UMKM Pasar Cunda Kota Lhokseumawe, distribusi takjil oleh tim pengabdian masyarakat Universitas Malikussaleh dan penerimaan takjil oleh empat masjid di sekitar kota Lhokseumawe. Tujuan kegiatan ini adalah menghimpun dana dari masyarakat, memberdayakan UMKM setempat dan berbagi sesama umat muslim di Kota Lhokseumawe.
Pengembangan Kompetensi Mahasiswa Melalui Kegiatan Workshop Memasuki Dunia Kerja Bagi Mahasiswa di Program Studi S1 Manajemen Universitas Cenderawasih
Authors: Kuddy Aprianto La'lang , Wijaya Iriando , Harju Leon Mitra , Agustin Sheilla Putri , Manalu Palti Maretto Caesar , Insoraky Wilhemina Arafusau , Payokwa Musa K
Published: January 2025

Perguruan tinggi yang berhasil adalah yang mampu menghasilkan sumber daya manusia yang unggul dan mampu bersaing di dunia kerja. Namun, kondisi saat ini belum ideal. Banyak lulusan perguruan tinggi yang belum mampu bersaing di pasar kerja. Persaingan di pasar kerja menyebabkan pengangguran di Indonesia meningkat setiap tahunnya. Salah satu penyebab meningkatnya pengangguran lulusan perguruan tinggi adalah kurangnya pengetahuan dan kompetensi mahasiswa dalam proses rekrutmen kerja. Metode yang dapat digunakan untuk mengatasi hal ini adalah sosialisasi dalam bentuk workshop. Kegiatan ini bertujuan membekali mahasiswa dengan gambaran mengenai tahapan rekrutmen agar dapat diterima di perusahaan. Materi-materi dari para praktisi diharapkan dapat meningkatkan pengetahuan mahasiswa dalam menghadapi persaingan di dunia kerja.
Mesterséges intelligencia szerepe a szemészeti betegellátásban, kutatásban és oktatásban
Authors: Németh János , Tapasztó Beáta , Karacs Kristóf , Nagy Zoltán Zsolt
Published: January 2025

Általános áttekintés után a közlemény részletezi a mesterséges intelligencia szemészeti alkalmazásának hazai előzményeit és jelenlegi alkalmazási területeit a szemészeti betegellátásban (betegek informálása, szembetegségek megelőzése, szűrése, diagnosztikája, szemműtétek végzése), a kutatásban és az oktatásban. A szerzők több példán keresztül bemutatják, hogy a mesterséges intelligenciaalapú algoritmusok gyors fejlődése hatékonyan fokozza a módszer pontosságát és alkalmazhatóságát. Felhívják a figyelmet a mesterséges intelligencia még meglévő hiányosságaira és azok kezelésének fontosságára is.
A szemészeti ultrahangvizsgálat története
Authors: Németh János , Kolozsvári Lajos , Sényi Katalin , Csákány Béla
Published: January 2025

Jelen történeti közlemény bemutatja a szemészeti ultrahang-diagnosztika és biometria közel 70 éves múltját, a módszer alkalmazásának fejlődését, a legjelentősebb szemészeti echográfusokat, és a szemészeti ultrahangdiagnosztikai társaságok megalakulását, működését. Hazánkban a szemészeti echográfia 1964-ben kezdődött, amikor Budapesten a Mária utcai Szemészeti Klinikán megalakult az első szemészeti ultrahangdiagnosztikai laboratórium, amely több mint 10 évig az egyetlen volt. Ezt követően a módszer lassan terjedt. Változást hoztak az újabb korszerű készülékek és az egyre több műlencse-beültetés, amihez elengedhetetlen volt a szemgolyó hosszának pontos, ultrahangos mérése. Hazánkban 1986-ban 4 A-scan, és 2 B-scan készülék működött, míg 1998-ra már 48 szemészeti betegellátó intézményben 56 szemészeti ultrahangkészüléket használtak a diagnosztikában és műlencsetervezés során. A magyar szemészeti echográfusok világviszonylatban is ismertté váltak, és hozzájárultak nemcsak a hazai, hanem a nemzetközi echográfia fejlődéséhez is.
Writing a research proposal for post graduate degree dissertation by a post graduate medical student
Authors:   Assistant Professor in Statistics (Biostatistics), Department of Community Medicine, Sri Venkateshwaraa Medical College Hospital & Research Centre, Ariyur, Pondicherry – 605 102.  Email ID: senthilvel99@gmail.com, Vasudevan Senthilvel
Published: January 2025

Introduction: Research proposal writing is needed a keen interested and knowledge in their speciality. It is very important and essential one for any type of research in science and in any field. Their dissertation work only helps/gives a good solution to know a new–line of treatment. I have discussed about the various steps in research methodology, preparation of a research proposal, how to conduct/proceed a dissertation and how to write a dissertation/study.

Materials and Methods: I have discussed I this paper related various steps in research methodology like research topic, research design, target population, sample size and how to calculate it, how to frame inclusion and exclusion criteria, how to enter the data in excel sheet, statistical analysis, what is one sided and two sided tests, how to frame a null and alternative hypothesis, how to conduct/proceed a dissertation and how to write a dissertation/study, What is type-I ad Type-II errors, level of significance, and the process of Scientific Research Committee and Institutional Ethical Committee Approval for a post graduate medical student’s research proposal.

Results: All the explanation is to be given in a elaborated ways. The post graduate medical students have to understand easily.

Conclusion: From this article, I have concluded that post graduate medical students have to understand and try to follow all the steps of research methodology at the time of their medical degree dissertation proposal preparation.. Adequate minimum calculated sample size should be determined to get a significant results in their studies. Getting SRC ad IEC approval for their dissertation work is a mandatory process in the medical curriculum. Finding the sample size for their PG degree dissertation at the time of preparation of their research proposal.

Keywords: post graduate medical student, research methodology, level of significant, type-I and type-II errors, proposal, dissertation
Enhancing Graduate Research Skills via Action Research and Book Clubs
Authors: Altowairiki Noha
Published: January 2025

This study investigates the application of action research to enhance the development of research methodology knowledge among graduate students. Students, in this study context, were dissatisfied with current courses, leading to knowledge gaps and limited application of research approaches. Through iterative cycles of action research, a book club intervention was implemented. Key findings highlight several critical design elements: selecting engaging textbooks, optimizing group size for interaction, scheduling sessions during breaks, actively facilitating discussion and misconception correction, and integrating technological tools for communication and reflection. Overall, this study underscores the potential of action research as a valuable framework for developing effective educational methodologies, emphasizing the need for thoughtful design in creating supportive learning environments. Future studies should explore innovative teaching approaches that incorporate diverse perspectives to further enrich graduate education.
THE IMPACT OF SOCIAL MEDIA ADDICTION ON ADOLESCENT DEVIANT BEHAVIOR
Authors: Iskajyan A.H.
Published: January 2025

Social media has become an essential part of modern life. Nowadays, it has a huge impact on the way people communicate and perceive the world. However, its widespread use has raised concerns about its effects on mental health. This is because it is a relatively new issue and has received little re-search. The purpose of this article is to examine how social media addiction interacts with adolescent deviant behavior.
The research involved 165 teenagers aged 12-17 years. The following methods were used to assess the relationship between social media addiction and deviant behavior: Young's Internet Addiction Test, the Test for Juvenile Deviant Behavior (E.V. Leus), psychological interviews, and statistical analysis.
The research found a positive correlation between social media addiction and socially determined behavior, delinquent behavior, addictive behavior, aggressive behavior, and suicidal behavior. Thus, it can be concluded that individuals who are addicted to social networks are more likely to exhibit deviant behavior compared to hose who are not addicted.
REVIEW OF NEW APPROACHES TO THE DIAGNOSIS OF MENTAL DISORDERS IN ICD – 11 AND THEIR SIGNIFICANCE IN CLINICAL PRACTICE
Authors: Matevosyan S.N. , Soghoyan A.F. , Tataryan K.K.
Published: January 2025

In this article we will describe the essence of the main innovations of ICD-11 in the section on mental disorders. The work mainly used the statistical classification of the 2nd revised and expanded edition of Chapter 06 of ICD-11 and review material that was presented in a special article in the offi-cial journal of the World Psychiatric Association (WPA) World Psychiatry (2019;18(1):3 -19) by a large group of researchers from more than 20 countries, we present the rationale and clinical implications for the provision of mental health care.
The impact of perceived usefulness, ease of use, trust, and usage attitude on the intention to maintain engagement in AR/VR sports: An exploration of the technology acceptance framework
Authors: Hu Fengting , Lee Kyongmin
Published: January 2025

This study examines how perceived usefulness, ease of use, trust, and usage attitude influence the intention to maintain engagement in AR/VR sports. Virtual Reality (VR) and Augmented Reality (AR) technologies have garnered significant attention in the sports domain in recent years, holding promise for substantial economic and social benefits in the future. However, factors influencing user acceptance and continued use of AR/VR remain unclear. To foster sustained adoption of AR/VR sports technologies and meet the growing demand for diverse forms of athletic activities, this study investigates the factors influencing Chinese sports university students' willingness to continue participating in VR/AR sports using the Technology Acceptance Model (TAM). Data were collected through a questionnaire survey among 283 Chinese sports major university students who had participated in VR/AR sports. Data processing and hypothesis testing were conducted using SPSS 26.0 and AMOS 24.0. The main findings of this study are as follows: First, perceived usefulness has a positive influence on usage attitudes. Second, perceived ease of use positively influences user attitudes. Third, trust positively influences usage attitudes. Fourth, usage attitudes have a positive influence on behavioral intentions. These findings expand the application and explanatory power of TAM in the field of AR/VR sports and offer practical implications for the industry. They can serve as a reference for developing marketing strategies to encourage continued consumer use of these services in the future.
The impact of university students' career management on employability: The mediating role of professional decision self-efficacy
Authors: Zhou Daleng , Jiang Man
Published: January 2025

This research investigates the relationships between employability, career decision-making self-efficacy and career management among university students in the Greater Bay Area of Guangdong, Hong Kong and Macau. The objective of this study is to comprehend how these elements interact and have an impact on one another regarding students' professional growth. A systematic questionnaire survey was conducted using validated measures created by experts to guarantee validity and reliability. Information was gathered from 631 university students in the Greater Bay Area. The study used a quantitative research approach to assess the correlations among the important variables—individual career management, employability and self-efficacy in making career decisions by statistically analyzing the data obtained. The data suggest that career management greatly improves students' employability. Furthermore, employability is greatly impacted by individual career management which also has a favourable effect on professional decision-making self-efficacy. Notably, employability and personal career management are mediated by self-efficacy in professional decision-making. Education departments, institutions and students should collaborate to emphasize the importance of individual career management. Providing tools and support can enhance students' employability and self-efficacy in making informed career choices.
ASSOCIATION OF COMPLICATIONS OF DIABETES MELLITUS WITH SOCIODEMOGRAPHIC DETERMINANTS IN PATIENTS PRESENTING TO AYUB TEACHING HOSPITAL ABBOTTABAD
Authors: Saqib Malik  , Farhat Naz  , Fatima Iqbal
Published: January 2025

Background:  Diabetes mellitus is a disease with many possible complications like macrovascular i-e stroke, coronary artery disease, peripheral artery disease, and microvascular i-e retinopathy, neuropathy and nephropathy. Many studies have been done in past to find the frequencies of these complications and their association with sociodemographic determinants of diabetic patients, but there was limited data available in our setup. This study was carried out to determine the frequency of micro and macrovascular complications of diabetic patients and their association with socioeconomic determinants at Ayub Teaching Hospital, Abbottabad. Methods: This cross-sectional study was carried out at Ayub Teaching Hospital, Abbottabad, Pakistan, from July 2022 till December 2023 on 113 diabetic patients. The data was collected on micro and macrovascular complications of diabetes on a pre-designed structured proforma and analyzed by means of SPSS-23. Results: The most common macrovascular complication was coronary artery disease 10(8.8%) while neuropathy 35(31%) was the most common microvascular complication. Among macrovascular complications stroke was associated significantly with age (p=0.01) and duration of diabetes (p=0.032). Among microvascular complications neuropathy was associated with gender (p=0.047), nephropathy with smoking (p=0.02) and retinopathy with both gender (p=0.019) and smoking (p=0.017). Conclusion: In this study there was significant association between, gender with neuropathy and retinopathy, smoking with nephropathy and retinopathy, stroke with age and duration of diabetes.
Pemanfaatan Media Pembelajaran Smart Box untuk Meningkatkan Minat Belajar Siswa di UPTD SDN 13 Binjai Baru
Authors: Syafitri Ely , Wulandari Rizki , Fahriyah Ade Alkarina , Selvianti Selvianti , Amahlia Selvi , Saputra Erlangga
Published: January 2025

Pengabdian ini bertujuan mengatasi dampak metode pembelajaran konvensional yang menurunkan minat dan prestasi belajar siswa di UPTD SD Negeri 13 Binjai Baru. Dengan memanfaatkan media pembelajaran berbasis teknologi, Smart Box, program ini dirancang untuk menciptakan pembelajaran yang lebih interaktif dan relevan. Metode yang digunakan meliputi sosialisasi untuk membangun dukungan, pelatihan teknis bagi guru dan siswa, penerapan Smart Box dalam pembelajaran, pendampingan untuk memastikan efektivitas, serta rencana keberlanjutan. Implementasi program ini berhasil meningkatkan partisipasi siswa dari 45% menjadi 78% dan skor minat belajar dari 5,2 menjadi 8,7 pada skala 1–10, dengan dampak positif terhadap keterampilan berpikir kritis siswa. Kesimpulannya, Smart Box terbukti efektif sebagai inovasi pembelajaran berbasis teknologi, terutama di lingkungan pendidikan dasar dengan keterbatasan infrastruktur, dan dapat direplikasi dengan dukungan pelatihan serta pendampingan dari pemerintah atau dinas pendidikan.
Peningkatan Literasi Desa melalui Kafe Baca Agrowisata di Hessa Air Genting
Authors: Sambayu Harry , Dailami Dailami , Az Zahra Cindy Purnama Sari , Munawaroh Maizatul , Erlina Erlina , Sari Nisma , Saragih Wulan Mega Sari
Published: January 2025

Penelitian ini mengevaluasi dampak program Kafe Baca Agrowisata di Desa Hessa Air Genting dalam meningkatkan minat baca dan literasi masyarakat. Melalui pendekatan kualitatif, penelitian ini menganalisis hal-hal yang menyokong, juga memperlambat kegiatan, beserta kontribusinya terhadap pembangunan desa. Hasil penelitian menunjukkan bahwa program ini berhasil meningkatkan akses terhadap bahan bacaan, memperkaya pengetahuan masyarakat, dan memperkuat rasa kebersamaan. Pendekatan kolaboratif, relevansi bahan bacaan, dan dukungan masyarakat menjadi kunci keberhasilan program. Namun, penelitian ini juga mengidentifikasi beberapa tantangan yang perlu ditangani, seperti sumber daya yang terbatas dan perubahan minat baca. Penelitian ini menyarankan pentingnya diversifikasi program, kerja sama dengan berbagai pihak, dan pemanfaatan teknologi untuk memastikan keberlanjutan serta perluasan dampak program. Program Kafe Baca Agrowisata dapat menjadi model bagi upaya peningkatan literasi di daerah pedesaan lainnya.
Assessment of Transcutaneous Electrical Nerve Stimulation Efficacy in Pain Management and Muscle Recovery: A Controlled Clinical Trial for Exercise-Induced Muscle Fatigue
Authors: Degani Adriana M , Stefanek Hannah , Spark Josh , Driusso Patrícia , Danna-dos-Santos Alessander , Lawson Daryl
Published: January 2025

Purpose
To investigate the efficacy of transcutaneous electrical nerve stimulation (TENS) on the duration and magnitude of muscle pain and fatigue following an exercise-induced fatigue protocol.
Methods
Twenty-one participants were tested over three visits. Each visit consisted of an exercise-induced fatigue protocol to the quadriceps muscle followed by one of the three randomized independent treatments: no intervention (NoTENS), TENS on the fatigued quadriceps (TENSactive), and sham intervention with an inactive TENS (TENSinactive) on the fatigued quadriceps. The visual analog scale (VAS) for perceived muscle pain and fatigue levels was recorded before and after exercise, immediately after the designated follow-up protocol, and 24 and 48 hours after the visit.
Results
Post-exercise muscle pain and fatigue decreased immediately following active TENS application to the quadriceps; this decrease persisted 24 hours post-TENS application. Muscle pain and fatigue immediately after active TENS were significantly lower than NoTENS and TENSinactive treatments. The active TENS also showed significantly faster recovery compared to NoTENS and TENSinactive protocols.
Conclusions
TENS application immediately after muscle fatigue following exercise was more effective in decreasing muscle pain and muscle fatigue, and improving muscle recovery time compared to no TENS or sham TENS. These findings support the use of TENS as a non-invasive, non-pharmacological evidence-based protocol to manage muscle pain and fatigue after exercise, training, and sports, resulting in reduced muscle pain and fatigue, and shortened muscle recovery time after strenuous exercise for athletes and non-athletes aged between 18 and 45 years old.
Atypical Electrodiagnostic Findings in a Patient with Immune-Mediated Necrotizing Myopathy: A Case Study
Authors: Mansell Nancy S. , Boggs Ryan
Published: January 2025

Autoimmune Necrotizing Myositis (NAM)/Immune-Mediated Necrotizing Myositis (IMNM), a progressive myopathy, lacks skin lesions and exhibits unique pathologic traits. Risk factors like statin use and malignancy are implicated, while most IMNMs are idiopathic. Manifesting as insidious proximal muscle weakness, they often lead to difficulties in functional tasks early in the disease. This article presents a case of a 65-year-old male with Immune-Mediated Necrotizing Myopathy exhibiting atypical needle electromyography findings with widespread denervation in multiple limbs in a proximal distribution. The patient complained of bilateral hip/thigh weakness and symmetric numbness in the feet, among other symptoms. Evaluation revealed significant findings including elevated creatine kinase (CK) levels, Anti 3-hydroxy-3-methylglutaryl-coenzyme A (HMG-CoA) antibodies, and abnormal electromyography indicating motor axon/myopathic involvement. Urgent referrals led to diagnosis confirmation and subsequent immunotherapy. This case highlights the challenges in diagnosing myopathies, emphasizing the importance of comprehensive patient history and clinical examinations. Electrodiagnostic studies complement clinical assessments, aiding in confirming myopathy and suggesting alternative diagnoses.Statin-induced necrotizing immune myopathy, associated with anti HMG-CoA antibodies, poses serious risks, warranting statin cessation and cancer screening.Recognizing when to refer patients promptly is crucial to minimize diagnostic delays.Prognosis for IMNM patients is challenging, with persistent weakness despite intensive treatment, emphasizing the need for a multifaceted approach in diagnosis, management,and patient care. Understanding clinical presentations, utilizing diagnostic tools judiciously, and recognizing risk factors are vital for optimizing outcomes in these complex neuromuscular disorders.
Evaluation of a Patient with a Referring Diagnosis of Bilateral Carpal Tunnel Syndrome and Lumbosacral Radiculopathy with Electrodiagnostic Findings of Generalized Peripheral Polyneuropathy
Authors: Greathouse David G. , Painter Elizabeth E.
Published: January 2025

Planning the electrodiagnostic exam requires careful consideration of the referring diagnosis, as well as evaluation of possible differential diagnoses that could account for the patient’s symptoms.1-3 A thorough subjective exam and tailored clinical exam are critical to planning an electrodiagnostic exam that adequately assesses the referring diagnoses and possible differential diagnoses.1-3 Throughout all exam components, the physical therapist must be alert for subjective and clinical exam findings that suggest alternative pathology and necessitate additional exam procedures.
This case details the subjective and objective clinical exams, electrodiagnostic testing, and interventions for a 73-year-old man referred for electrodiagnostic testing with diagnoses of bilateral median mononeuropathy at or distal to the wrist or carpal tunnel syndrome (CTS) and lumbosacral radiculopathy. Findings in the subjective and objective clinical exams suggested that the patient may have a polyneuropathic process affecting his distal extremities in addition to likely median mononeuropathy at or about the wrists and lumbosacral radiculopathy affecting the lower extremities. The physical therapist performed additional clinical exam procedures and planned an electrodiagnostic exam that would evaluate the patient for these potential differential diagnoses. Electrodiagnostic testing, including nerve conduction studies (NCS) and needle electromyography (EMG), demonstrated a generalized, symmetrical, length dependent, sensorimotor, peripheral polyneuropathy in both upper extremities (BUE) and both lower extremities (BLE) with both significant axonal loss and demyelination. Chronic denervation was noted in BUE and BLE distal muscles tested.
A neurologist confirmed the generalized peripheral polyneuropathy (GPPN) in BUE and BLE and determined the etiology of this disease process as “idiopathic”. The patient was started on intravenous immunoglobulin therapy (IVIG) on a monthly basis and given steroid injections in both wrists by an orthopaedic hand surgeon. Six months following the start of IVIG, the patient characterized this intervention as “successful” with decreased pain and sensory disturbance in both hands and feet.
Differential Diagnosis of Foot Drop: A Case Report
Authors: Greathouse David , Painter Elizabeth
Published: January 2025

Differential diagnoses of ankle dorsiflexion weakness or foot drop are numerous and may include common fibular mononeuropathy, L5 and/or L4 nerve root lesion, partial sciatic neuropathy, acquired or hereditary peripheral polyneuropathy, central nervous system pathology, cervical or thoracic myelopathy and motor neuron disease.
This case details the subjective and objective clinical exam, electrophysiological testing and interventions for a 54-year-old female with a referring diagnosis of a right foot drop deformity. The clinical exam identified distal, bilateral lower extremity (BLE) weakness and necessitated further evaluation of bilateral upper extremities (BUE) and cranial nerves. Electrophysiological testing, including nerve conduction studies (NCS) and needle electromyography (EMG), demonstrated findings consistent with motor neuron disease (MND) in all muscles tested in BUE, BLE, bilateral low lumbar paravertebral muscles and right tongue.
A neurologist confirmed the presence of MND and determined this disease process was most likely amyotrophic lateral sclerosis. The patient was referred to the Neuromuscular Disease Clinic at a university hospital for further evaluation. Two months following the electrophysiological testing, the patient reported worsening weakness in BLE that had caused her to fall several times. She denied progression of BUE weakness or development of bulbar symptoms but relied on family members for assistance with some activities of daily living.
Pengaruh Teknologi Blockchain terhadap Kepercayaan dan Efisiensi Transaksi di Sektor Perbankan
Authors: Munandar Aris , Nurul Huda  , Nafisah Nurulrahmatiah
Published: January 2025

Teknologi blockchain telah menjadi inovasi signifikan dalam sektor perbankan, menawarkan transparansi, keamanan, dan efisiensi yang tinggi. Penelitian ini bertujuan menganalisis dampak penerapan blockchain terhadap tingkat kepercayaan nasabah dan efisiensi transaksi di sektor perbankan Indonesia. Dengan pendekatan kuantitatif berbasis survei dan eksperimen, data dikumpulkan dari 200 responden nasabah dan 30 partisipan yang mengikuti simulasi transaksi menggunakan sistem berbasis blockchain. Hasil survei menunjukkan 80% responden merasakan peningkatan kepercayaan setelah penerapan blockchain, dengan skor kepercayaan rata-rata meningkat dari 3,2 menjadi 4,5. Teknologi ini mengurangi kekhawatiran nasabah terkait manipulasi dan pelanggaran data, berkat fitur transparansi dan enkripsi. Hasil eksperimen menunjukkan peningkatan efisiensi transaksi, dengan waktu proses yang lebih cepat (rata-rata 2,3 detik) dibandingkan sistem tradisional (5,6 detik). Biaya operasional juga turun 30% karena pengurangan peran pihak ketiga. Analisis regresi linier dan SEM menunjukkan hubungan signifikan antara transparansi, privasi, kepercayaan, dan efisiensi. Namun, tantangan seperti biaya implementasi dan kurangnya literasi digital masih perlu diatasi. Penelitian ini menyimpulkan bahwa blockchain meningkatkan kepercayaan dan efisiensi, serta memberikan peluang strategis bagi bank untuk menciptakan keunggulan kompetitif.
Efektivitas Media PhET Simulation Terhadap Kemampuan Numerasi Siswa Kelas 5 SDN Jatingaleh 01 Pada Mata Pelajaran Matematika
Authors: Hidayah Ulul , Utami Rizky Esti , Wibowo Yohanes Maria Vianey Trisunu Harjati , Ulumuddin Arisul
Published: January 2025

This research aims to see the effectiveness of the PhET Simulation media on the numeracy abilities of grade 5 students at SDN Jatingaleh 01 in mathematics subjects. The method used in research is experimentation. The research design used was Pre-Experimental Design with a One-Group Pretest-Posttest Design model. The population in this study was class 5A as many as 27 students. The data collection methods used were tests and observations. From the results of the data analysis, it can be concluded that students' numeracy skills in fractional operations material using Phet Simulation media obtained a higher post-test average score of 81 compared to the pre-test average score of 51 and the results of the Ngain test showed that the average score The average Ngain of respondents was 65.2734%. This shows that the Ngain value is categorized as quite effective (range between 56%-75%). Therefore, PhET Simulation media is quite effective media to use in students' numeracy skills.
Factors affecting cash flow management activities of textile and garment enterprises in Vietnam
Authors: Thuy Linh Vu
Published: January 2025

Purpose: This study shows the level of influence of factors on cash flow management activities of enterprises through survey and recovery analysis from data of 50 Vietnamese garment enterprises.
Design/Methodology/Approach: The article uses two basic research methods including: qualitative and quantitative research. In which, the qualitative method is to synthesize research works related to the article, thereby determining the research hypothesis. The quantitative method is implemented on the basis of building a scale for 7 factors affecting cash flow management activities and surveyed and analyzed data from 50 textile and garment enterprises in Vietnam to test the published hypotheses.
Findings:  The results show that 5 out of 7 factors have an impact on cash flow management activities of listed textile and garment enterprises in Vietnam, including: sales policy (SP), inventory management policy (IMP), payment policy with suppliers (PPS), enterprise size (ES) and level of information technology application in cash flow management (LIC).
Conclusion: In particular, sales policy is the strongest impact factor, the ability to apply information technology has the weakest impact, in particular, inventory management policy has a negative impact on cash flow management activities.
Research Limitations/Implications: From the results of this research, the author suggested for Vietnamese textile and garment enterprises in cash flow management activities.
Practical Implications: This research result is completely consistent with previous domestic and foreign studies.
Contribution to Literature: The study provides necessary information to help Vietnamese textile and garment enterprises improve cash flow management in the coming time.