bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessment Of Knowledge And Prevalence Of Risk Factors Of Pregnancy Induced Diabetes Mellitus Among Pregnant Women At A Teaching Hospital
Authors: Dr. Neelkant Reddy Patil  , Monika Deshmane  , Sandra Elza Sabu  , Digambar Patil  , Akash
Published: January 2025

This research set out to determine how many pregnant women suffer from gestational diabetes mellitus (GDM), what variables put them at risk, and how much of an effect a clinical chemist's educational intervention had on their GDM knowledge. Between April and September of 2023, researchers in Kalaburagi, India, visited Basaveshwar Teaching and General Hospital to gather data. Pregnant women's outpatient clinic (OPD) cards were analysed for this study. Pregnant women's ages were most concentrated in three age groups: 26–30 (50.8% of the total), 20–25 (55.6% of the total), and 31–35 (1.7% of the total). In the first trimester, 31.4% of the 118 samples revealed their pregnancy status, whereas 67.8% did so in the second. In pregnant women, age-related variables accounted for 72% and a family history of gestational diabetes mellitus accounted for 5.1% of the risk. Of the pregnant women who took the exam, 40.96 percent had low understanding, while the rest had moderate to excellent knowledge. Following the chemist's intervention, 42.2% of the ladies showed a considerable improvement in their post-test knowledge. Finally, the research concluded that pregnant women's understanding of risk factors for GDM was much enhanced by the chemist's intervention, suggesting that this strategy may be useful in preventing difficulties associated with GDM. Reducing maternal and foetal morbidity and preventing or delaying the development of type 2 diabetes may be achieved by early identification and education about GDM risk factors.
Comparative Analysis of the Role of Pre-sentence Reports in Criminal Proceedings: A Case Study of Iranian and English Law
Authors: Goshtasbi Mohammad , Adabi Hamidreza , Mahdavi Sabet Mohammad Ali
Published: January 2025

In recent decades, the emphasis on individualization in criminal justice has led to the use of innovative tools such as pre-sentence reports. This tool, which analyzes the personality, social, and psychological characteristics of the accused, plays a key role in judicial decision-making, especially in the rehabilitation and reform of offenders. The aim of this research is to conduct a comparative study of the legal systems of Iran and England in relation to pre-sentence reports and analyze the strengths and weaknesses of each system. This study employs a descriptive-analytical method along with comparative analysis. Data required for the study were gathered from legal sources, national laws, and specialized articles, and analyzed within the framework of legal principles. The comparison between the two legal systems reveals that, in England, due to its long history of using pre-sentence reports, a more cohesive approach exists. In contrast, in Iran, despite the legal provision in the Criminal Procedure Code, challenges such as a lack of financial resources and relevant specialists have hindered the effective implementation of this tool. The results of this study suggest that drawing on the successful experiences of England and addressing existing obstacles could strengthen the role of pre-sentence reports in Iran's criminal justice system. This study, by offering practical solutions, takes a step towards improving the judicial process and enhancing criminal justice.
The Jurisprudential-Legal Foundations of Price Control by the Government
Authors: Saeedi Seyed Mosayeb , Asadi Koohbad Hormoz , Babaei Dariush
Published: January 2025

One of the important issues in economics, especially Islamic economics, is how the prices of goods and services are determined in the market. This issue has multiple effects on fundamental variables such as investment, employment, production, supply of goods, and the general price level in the current and future economy. The pricing of goods or services in the Islamic market has been a subject of attention since the early Islamic period, under the Prophet Muhammad (PBUH), the Imams (AS), and, during the period of the Major Occultation, by prominent religious scholars and jurists. Based on numerous narrations and jurisprudential foundations, Islamic jurists (both Sunni and Shia) have presented various views on this matter. A review of jurisprudential texts shows that, although some, considering the short-term effects of government-imposed price controls, lean towards granting such authority to the state, most jurists maintain the prohibition of price-setting.
Tennis-Specific Incremental Aerobic Test (TSIAT): Construct Validity, Inter Session Reliability and Sensitivity
Authors: Dhahbi Wissem , Hachana Younes , Souaifi Marouen , Souidi Sahar , Attia Ahmed
Published: January 2025

Objectives: This study aimed to explore the discriminative capacity of the Tennis-specific Incremental Aerobic Test (TSIAT) in differentiating between international level tennis players (IP) and regional level tennis players (RP), scrutinize the absolute and relative inter-session reliabilities of TSIAT, and assess the sensitivity and the Minimal Detectable Change (MDC) of TSIAT. Methods: A cohort-based repeated measures study design was used. Twenty-four male tennis players (age: 15.91±3.09 years, body-height: 1.68±0.20 m; body-mass: 67.45±16.06 Kg; body-mass-index: 20.96±1.97 kg·m-2) participated. TSIAT distance, peak heart rate (HRpeak), and blood lactate concentration ([La]) were measured across two sessions. Inter-session reliability, sensitivity, and minimal detectable change (MDC95) of TSIAT were assessed. Additionally, discriminant ability was evaluated by comparing TSIAT indices between international-level (IP) and regional-level (RP) players. Results: The TSIAT showed excellent reliability (ICC[3,1]=0.95 and SEM%=1.81) and satisfactory sensitivity (SWC%=1.22). The MDC95 for the distance index was small (<5.02%). IP achieved significantly (p<0.05) greater distances (d=1.63 [large]), HRpeak (d=1.18 [moderate]), and [La] (d=2.51 [large]) compared to RP. The TSIAT demonstrated “very good” discriminant ability between IP and RP groups, with an area under the ROC curve of 0.89. Conclusion: Considering the “excellent” inter-session reliability, “satisfactory” sensitivity and “very good” discriminate athletes by different performance levels, the TSIAT may serve as a trusted tennis-specific incremental aerobic test.
The Impact of Redundancy and Video Control on Tactical Learning in Basketball within the Context of Physical Education
Authors: Ben Romdhane Montassar , Khacharem Aïmen
Published: January 2025

This study examines the impact of redundancy and rhythm control in video on the development of tactical knowledge in basketball among 15-16-year-old learners. Participants were exposed to four conditions: "Audio without control" format (N = 20), redundant "Audio + Text without control" format (N = 20), "Audio with control" format (N = 20), and redundant "Audio + Text with control" format (N = 20). Results revealed that students achieved higher comprehension and transfer scores in the two conditions where the video was controlled. Additionally, performance demonstrated a negative impact of redundancy on learning. However, these negative effects dissipated, even reversed, in learner-controlled video conditions, accompanied by improvements in performance. Consequently, processing difficulties induced by redundancy were mitigated by pause intervals, enabling a focus solely on written content and facilitating memorization. Thus, to attenuate the negative effect of redundancy, it would be appropriate to present textual support after oral presentation and demonstration of tactical actions during video-based learning in Physical Education.
Acute Changes in Plasma Lipid Levels after an Endurance Triathlon Competition in Young Physical Education Students
Authors: Khcharem Amir , Abroug Taoufik
Published: January 2025

Purpose

The literature has failed to adequately report the effect of triathlon on general health. The current study aimed to assess the effects of an endurance triathlon competition on serum lipid profile.

Methods

Fourteen recreational triathletes being physical education students completed a short-distance triathlon competition (750 m swimming, 20 km cycling, and 5 km running). Blood collection was carried out before and just after the race.

Results

In comparison with rest, exercise resulted in decreased levels of triglyceride (TGL) (22.9%, p < 0.001), total cholesterol (TC) (2.5%, p < 0.01), and low-density lipoprotein cholesterol (LDL-C) (3.3%, p < 0.05), and increased levels of high-density lipoprotein cholesterol (HDL-C) (8%, p < 0.01).

Conclusion

Our study highlighted that the endurance triathlon competition improved blood lipid profile, which confirms the positive effects of such exercise on serum lipid metabolism and its probable role in preventing cardiovascular risks.
The role of physical activity in health capital management: perspectives on involvement of non-governmental organizations; the case of WHO
Authors: Ballah Youssouf Youssouf , Aras Mohammad Ali
Published: January 2025

Background: Physical activity plays a vital role in health management by preventing and managing chronic diseases. Despite its known benefits, global participation levels remain low. Organizations like the world Health Organization (WHO) play a crucial role in promoting physical activity through partnerships and initiatives aimed at increasing awareness and engagement.

Objectives: This article aimed to (i) synthesize contemporary research on the benefits of physical activity, focusing on its impact on physical, mental, and social health, and (ii) explore the shift towards a holistic and collaborative approach in strengthening global public health.

Methods: The study was structured around two key areas. First, it examined how physical activity affected various dimensions of individual health. Second, it explored the implementation of innovative strategies involving new stakeholders to enhance public health efforts. To support these objectives, a literature search was conducted using databases such as PubMed, ScienceDirect, Scopus, Web of Science, and Google Scholar. Keywords included "physical activity," "well-being," "health," and "WHO."

Results: This article highlights the wide-ranging benefits of physical activity, including its positive effects on physical, mental, and social health. It emphasizes the importance of strategic partnerships and cross-sector collaborations in effectively promoting these benefits. Additionally, it explores new ways to involve different stakeholders in efforts to improve global public health through physical activity.

Conclusion: This study emphasizes the importance of physical activity in improving overall health and acknowledges the significant contributions of organizations like the WHO in promoting these benefits. To translate these findings into practice, collaboration between health organizations and local communities is crucial for developing effective physical activity programs. Policymakers should allocate resources towards initiatives that encourage active lifestyles. Furthermore, involving new partners, including educational institutions and businesses, can enhance the impact of these efforts on public health outcomes.
Curricular vulnerability of young physical education teachers in Tunisia through the prism of innovation
Authors: Souid Ines , Fargier Patrick , Alin Christian , Driss Tarak , Liotard Philippe
Published: January 2025

Tunisia, as a independent Stat, has had to ensure the education of the young Tunisian. As a conséquence, this led to attempt to ensure an efficient training of the future teachers. The training in the "Superior Institutes of Physical Education and Sport" (ISSEP) also seems to be weakened as the gratuated ( at a license's level since the adoption, in 2006, of a Licenc- Master-Doctorate LMD structure) have nowadays to wait more than five years before to become Physical Education (PE) teachers. The aim of the present study was to examinate possible vulnerabilities of the PE training in ISSEP in order to suggest possible perspectives innovation.

Twelve semi-directed interviews has been done to obtain the interviewees' reactions regarding the training of PE teachers in ISSEP . A lexical analysis of the verbatim was computed and this led to a categorical analysis of the corresponding outputs. These analyses led to determine a categories of ideas that put the emphasis on a series of problems. Beyond i) the difficulties of professionnal integration ii) the absence of a clear goal of competencies of to organize the initial training iii) a lack of following during the years after graduation and befor becoming a PE teacher iiii) academic content, iiiii) sport and physical activities exclusively centered on the field of the high-level sport training. These results will be discussed as indicators of vulnerability. Possible suggestions concerning the development of the LMD structure will also be discussed.
Strategies for Injury Prevention and Enhancing Performance
Authors: Forelli Florian , Bouzekraoui Aloui Ismail , Mazeas Jean , E Hewett Timothy , Douryang Maurice
Published: January 2025

Evaluating athletes is crucial for both injury prevention and performance enhancement. This editorial explores the multifaceted approach required to maintain athletes at their peak while minimizing risks. Understanding an athlete's baseline physical condition through comprehensive assessments is the first step. Regular monitoring helps detect early signs of potential injuries, allowing for timely interventions. The integration of technology, such as wearable devices and biomechanical analysis, provides valuable data for these evaluations. Additionally, the psychological state of athletes plays a significant role; mental health assessments are necessary to address issues like stress and anxiety that can affect performance and lead to injuries. Customized training programs tailored to each athlete's specific needs are essential for optimizing performance and preventing injuries. A multidisciplinary team approach, involving coaches, physiotherapists, nutritionists, and psychologists, ensures a holistic support system for athletes. This comprehensive evaluation process not only enhances performance but also supports long-term athlete development, promoting healthier and more successful athletic careers.
Exploring the Integration and Implications of Artificial Intelligence Chatbots in the Realm of Sports Science Research, Training, and Rehabilitation
Authors: Hamdaoui Touhami , Ghennam Noureddine , Bouchouareb Rami , Ghouili Hatem
Published: January 2025

Background: The field of sports science has been fundamentally transformed by the integration of artificial intelligence (AI) technologies. AI has enabled advances in areas such as performance optimization, training personalization, injury risk assessment and prevention, talent recognition, rehabilitation, athlete monitoring, and wellness optimization.

Objective: This review aims to explore the diverse impact of AI in sports science, highlighting advances in AI techniques, the challenges and limitations of integrating AI tools, and the emerging role of AI chatbots in shaping the future of sports research and applications.

Methods: The review examines the existing literature on the application of machine learning, deep learning and other AI techniques in various aspects of sports science research and practice. It provides an overview of how these technologies have been used to improve personalized training programs, video analysis, injury risk prediction, talent identification, and rehabilitation.

Results: The article describes how AI-powered tools and techniques have revolutionized sports science, enabling personalized, data-driven and efficient approaches to performance optimization. Sophisticated machine learning algorithms such as artificial neural networks, decision trees and support vector machines have been used to develop predictive models for injury risk assessment and prevention, leading to improvements in athletes' wellbeing and long-term performance. AI-driven talent identification and selection processes have also shown promise in recognizing exceptional athletes with greater accuracy. In addition, the integration of AI into athlete monitoring and rehabilitation has led to greater personalization, better decision making and faster return to play.

Conclusion: The integration of AI and machine learning techniques into sports science has the potential to transform the field and lead to improved athlete performance, reduced risk of injury, improved well-being, and more personalized and effective interventions. The emergence of AI chatbots expands the applications of these technologies in sports science and offers new opportunities to streamline research processes, provide personalized advice to athletes and support sports medicine and rehabilitation
Video modeling: a vital tool for every sport pedagogue
Authors: Trabelsi Omar , Abdelkader Souissi Mohamed
Published: January 2025

Observational learning, a cornerstone of behavioral theories, posits that individuals acquire new skills by observing others. This principle is especially pertinent in sport pedagogy, where modeling serves as a crucial instructional tool, enabling educators and coaches to demonstrate techniques effectively. Recent advancements in multimedia technologies, such as 360-degree videos, virtual reality, and augmented reality, have significantly enhanced the potential of observational learning. However, the high costs associated with these advanced technologies limit their widespread accessibility. In contrast, traditional digital video remains a highly effective and accessible method for motor skill modeling. Digital videos offer precise, repeatable demonstrations, thereby aiding learners, including those with special needs, in mastering skills through controlled and repeated observation. This commentary underscores the significance of video modeling in sport pedagogy, advocating for the adoption of best practices to maximize its educational potential.
Acute exercise induces comparable mitochondrial biogenesis and vascular angiogenesis molecular regulators in the diabetic and non-diabetic rat myocardium
Authors: Alsalaimeh Batool , Haifawi Saja , Al-Trad Bahaa , Malkawi Thae’r , Al-Rababah Ramiz , Alahmad Ekram , Mardini Manar , Bataineh Ahmed , Al-horani Ramzi
Published: January 2025

Background: The diabetic heart is associated with mitochondrial and microvascular dysfunctions along with impaired downstream co-activators. These functions may improve with long-term exercise training. However, it is unknown how they respond to acute exercise in the diabetic compared to the non-diabetic heart.

Objective: Therefore, we aimed to evaluate and compare the acute molecular responses of mitochondrial biogenesis and angiogenic and anti-angiogenic factors to a single exercise session between the diabetic and non-diabetic heart.

Methods: Male Sprague-Dawley rats were assigned into one of four groups: 1- non-diabetic sedentary control (CS); 2- Diabetic exercise (DIEX); 3- Diabetic sedentary (DIS); and 4- non-diabetic exercise (CEX) groups. Left ventricles were obtained 6 – 7 weeks following diabetes induction and following a 60-min of treadmill running from CEX and DIEX.

Results: Vascular endothelial growth factor and hypoxia-inducible factor 1α mRNA was not different among all groups. Thrombospondin-1 mRNA was not different in CEX and DIEX and was greater in both groups than CS and DIS (P < 0.005). Peroxisome proliferator-activated receptor (PPAR)-γ coactivator (PGC-1α) expression was not different in CEX and DIEX (P = 0.4). PGC-1α expression was lower in CS compared to all groups (P < 0.001 for CEX and DIEX, and P = 0.01 for DIS vs. CS) (Malondialdehyde was not different in all groups.

Conclusion: All the above molecular responses to acute exercise were similar in the diabetic and non-diabetic hearts. This may suggest that the diabetic heart may similarly benefit from exercise in terms of mitochondrial biogenic and vascular angiogenic functions as the non-diabetic heart. Future studies should investigate the long-term training responses.
Optimizing Onboarding Efficiency: Improving Employee Productivity with Automated Joiner Functionality for Day-One Access
Authors: Vitla Surendra
Published: January 2025

Onboarding new employees is one of the most pivotal processes within any organization, significantly impacting employee engagement, retention, and productivity. Traditional manual onboarding processes are often fragmented, slow, and prone to errors, creating delays in granting necessary system access and tools to new hires. This results in frustration for new employees, prolonged time-to-productivity, and potential security risks due to improper access management. With the growing complexity and scalability demands of modern organizations, automating the joiner functionality via Identity and Access Management (IAM) systems offers a strategic solution. Automated joiner functionality ensures that employees receive instant, role-based access to required applications, systems, and data, thereby accelerating their integration into the company. This paper explores how IAM tools, such as Okta, SailPoint, Microsoft Azure Active Directory, and Ping Identity, enhance the efficiency, security, and compliance of the onboarding process. By automating tasks like user provisioning, role-based access control, and multi-factor authentication, IAM tools mitigate the risks associated with human error, ensure compliance with regulatory standards, and significantly improve the overall employee experience. The automation of onboarding not only leads to faster time-to-productivity but also strengthens security by enforcing the principle of least privilege and preventing unauthorized access. As organizations continue to embrace digital transformation, the future of employee onboarding will increasingly rely on the capabilities of IAM tools to ensure secure, seamless, and efficient integration of new hires into the workforce.
Securing Remote Work Environments: Implementing Single Sign-On (SSO) and Remote Access Controls to Mitigate Cyber Threats
Authors: Vitla Surendra
Published: January 2025

In the era of remote work, securing digital environments has become a top priority for organizations globally. One of the most effective ways to mitigate the risks associated with unauthorized access and cyber threats is the implementation of Single Sign-On (SSO) solutions. SSO enables users to access multiple applications with a single set of credentials, simplifying user authentication while enhancing security. This paper explores the role of SSO in securing remote work environments, examining its benefits in terms of reducing password fatigue, enabling Multi-Factor Authentication (MFA), and providing centralized access control. Additionally, it discusses various types of SSO integrations, including protocols like SAML, OAuth, and OpenID Connect, and the tools available to implement these solutions, such as Okta, Ping Identity, and OneLogin. By streamlining user authentication and improving monitoring capabilities, SSO helps mitigate a variety of cyber threats, from credential theft to insider attacks. As cyber risks continue to evolve, the integration of SSO solutions, paired with best practices in identity and access management, is a crucial step in safeguarding organizational assets and ensuring compliance with security standards.
Phenotypic diversity and performance for some agronomic characters in sesame (Sesamum indicum L.) germplasm collection from Nasarawa state, Nigeria
Authors: Alhassan Usman , Kana Hauwa Ahmad , Hassan Zainab
Published: January 2025

Sesame is one of the most important oilseed crops in the tropical and subtropical regions of the world. Despite its importance, sesame yield in Nigeria is poor due to lack of improved and high yielding varieties. The aim of the work was to study genetic diversity in some agro-morphological traits of sesame germplasm.  Germplasm exploration was carried out using systematic survey from October 2022 to September 2023 in different sites across Nasasrawa State. One hundred and twenty (122) germplasm was collected and evaluated in an incomplete randomized block design with 3 replications at the Faculty of Agriculture, Federal University Lafia, during October 2023 under irrigation. Data was collected on plant height (cm), number of primary branches (NBR), number of Capsules per plant and seed yield per plant (g), Analysis of variance revealed significant (p < 0.01) variation among the 122 genotypes for all the traits studied. Partitioning the significant variations into variance components showed that genotypic variance range from 0.92 for SYP to 287.34 for PHT. The genotypic effects have significant contribution to the phenotypic variation in all traits. The magnitude of the genotypic variance component resulted in high heritability estimates for PHT and CAP. Biplot PCA on agro-morphological traits displayed three principal components that contributed for 71.38% variations. Cluster analysis grouped the collected germplasm into three main clusters. The phenotypic diversity observed in this study may be exploited in the selection of parental lines for hybridization when breeding sesame for high seed yield
Socio-Economic Determinants for Household Uptake of Modern Energy Technologies: Evidence from Rwanda Panel Data (2016-2017)
Authors: Nshimiyimana Anastase , Xavier Hagenimana Francois , Janviere Ntawigenera , Celestin Uwimanihaye Pierre , Harindintwari Modeste , Mbonigaba Gerard
Published: January 2025

The major causes of deforestation worldwide from human activities is the reliance of world population on the biomass fuel for domestic energy consumption through cooking, heating and lighting, the usage of biomass in inefficient way increase the fuel demand for the household. This paper provides evidence of household driving factors that play a crucial role in the uptake of improved cook stove empirically in Rwanda. The study used data from fifth integrated household living standards survey (EICV-5) carried of by National Institute of Statistics of Rwanda. Using binary logistic regression analysis, the study shows that homeownership, age of household head, household location and household size are the main significant household factors influencing the adoption of improved cook stove while time spend on cooking fuels is the most significant stove and fuel factors determining the adoption of usage of improved cook stove. The study shown that for substantially improved rate of adoption they should be consistent and focused cooperation of government and non -governmental organizations to work in parallel for developing energy policy frameworks.
Comparative Analysis of ChatGPT and Gemini; Implications for Junior High School Physics Education: Opportunities and Ethical Challenges
Authors: Bessas Nikos , Tzanaki Eleni , Vavougios Denis , P Plagianakos Vassilis
Published: January 2025

Artificial intelligence (AI) is transforming education, offering tools that promise enhanced engagement and understanding for students and teachers alike. This study examines the educational potential of Google’s Gemini in comparison with OpenAI’s ChatGPT, focusing on junior high school physics education. By using hydrostatic pressure and fractal theory as a case study, both platforms were evaluated based on their ability to generate accurate lesson plans, identify and address misconceptions, and adapt to diverse educational needs. ChatGPT excelled in addressing student misconceptions and providing detailed visual aids, fostering a deeper understanding of the topic. Gemini’s multimodal capabilities demonstrated promise in integrating various media but highlighted challenges in conceptual depth and accuracy. This analysis underscores the need for critical evaluation of AI tools to optimize their implementation in educational settings, ensuring they complement rather than replace traditional teaching methods.
Influence some Environmental Parameters on Growth, Physiological and Chemical Properties of Ricinus communis plant at some Al Gabl Al Khder Regions, Libya
Authors: Mohammed Baset ES , Abdallah Said Wafa Ahmad , Mohammed Saed Ayiman , Abdel Satar Wafa G , Hasan HMA
Published: January 2025

This study focused on Ricinus communis plants collected from two distinct regions—Al-Bayda and Derna—located in the Al Gabal Al Akhder mountain range in Libya. The objective was to compare various chemical and physiological parameters of the plants from these two locations. Parameters such as leaf area, fresh and dry leaf weight, tree diameter, plant height, chlorophyll a and b, carotenoids, and starch content were analyzed. Additionally, the levels of certain metals and minerals in both plant and soil samples were assessed. The results revealed differences in physiological traits like plant height and leaf area between the two regions. These variations were attributed primarily to environmental factors, including differences in temperature, pressure, location, and soil composition.
Psoas Hematoma in a Child: Experience in a Tertiary Care Hospital
Authors: Tripathy Dr. Sangeeta
Published: January 2025

Psoas hematoma presents with nonspecific symptoms. It is rare and usually occurs as a result of trauma, hematologic disease, during lumbar surgery often iatrogenic, rupture of aortic aneurysm etc. The incidence of spontaneous Psoas muscle hematoma has slowly increased as a result of anticoagulation use and use of antiplatelet agents. Is can present with non specific symptoms such as pain in abdomen, back and groin, or swelling, anemia, hemo dynamical instability and even leg paresis.
CT Scan is the most important diagnostic test for rapid diagnosis of hematoma. CT Scan immediately diagnose the disease and thus helps in initiating early treatment. MRI is more sensitive than any other diagnostic modes but not easily available, expensive and with other restrictions for imaging.
Psoas hematoma is easily overlooked disease especially in elderly patients. It often present atypically in elderly due to unusual presentation, comorbidity and cognitive impairment. Most hematomas resolve spontaneously without clinical complications if the hematoma is small and not compressing the surrounding important structures.
Gamificación: una herramienta innovadora para enseñar multiplicación de matrices
Authors: Carrión Cano Hernán Alexi , Joseph Garcia Victor , Cedeño Erazo Carmen Katherine , Palma Holguin Gilberth Alexi
Published: January 2025

La gamificación, aplicada en la educación matemática, ha mostrado ser una estrategia eficaz para incrementar la participación estudiantil y optimizar el aprendizaje al integrar elementos de juego en la enseñanza de conceptos como las matrices. Esta metodología no solo enriquece la experiencia de aprendizaje, sino que también simplifica la comprensión al contextualizar los conceptos y proporcionar un entorno interactivo. Estudios previos, como el realizado en Mexicali y Cali, respaldan la efectividad de la gamificación en el mantenimiento de la motivación y el rendimiento de los estudiantes. La investigación se centró en explorar el impacto de la gamificación en la enseñanza de álgebra lineal en estudiantes universitarios. Se realizó un estudio práctico en dos grupos, uno de control y otro experimental, donde se aplicó la gamificación en el grupo experimental. Los resultados indicaron una mejora significativa en el rendimiento de los estudiantes que participaron en actividades gamificadas, lo que sugiere que esta estrategia puede ser valiosa para mejorar el proceso de enseñanza y aprendizaje de las matemáticas. La gamificación fortalece el proceso de enseñanza-aprendizaje al elevar la motivación de los estudiantes y facilitar la asimilación de conocimientos matemáticos, lo que la convierte en una herramienta pedagógica prometedora para las aulas contemporáneas.
PENINGKATAN KREATIVITAS GURU MELALUI PELATIHAN PENGGUNAAN APLIKASI CANVA DALAM PEMBELAJARAN DI SD MUHAMMADIYAH 1 CANDI
Authors: Ramadhan Syahrul , Hidayatullah Ariyansyah Arief , Nurjanah Indah , Rochmania Ainur , Sufyanto Sufyanto
Published: January 2025

Community service activities at SD Muhammadiyah 1 Candi aim to address the challenges teachers face in designing creative and engaging learning media. The program includes an introduction to the Canva application, providing teachers with opportunities to create learning media projects, as well as offering guidance and evaluation. As a result, seven teachers successfully gained new knowledge and skills in using Canva, which enhanced their creativity in designing affective and visually appealing learning media. This activity made a positive contribution to the development of teachers’ competencies and enriched students’ learning experiences.
IMPLEMENTASI SPORT MASSAGE DI CAR FREE DAY CIANJUR
Authors: Aryani Mela , Kastrena Ervan , Afriyuandi Asep Ramdhan , Rahadian Adi , Pratama Andi Kurniawan , Rochman Taupik , Yudho Firdaus Hendry Probowo , Amalia Eneng Fitri , Taufik Muhamad Syamsul , Lakana Goesti Sabda , Mulyadi M. Sandi , Augusti Andini Suci , Sidik Fahmi Maulana , Marchan Dandi , Sungkawa M. Guntur Gaos
Published: January 2025

Cianjur is one of the district capitals in West Java with a dense population, but it is difficult for people to find qualified masseurs, especially sports massage. Massage courses are compulsory courses that must be taken by PJKR Element students to fulfill their credits. Massage courses are unique courses because students must understand theory and practice. Therefore, we as lecturers and students carry out community service by holding free sports massages in places that are often visited by the community, namely the Cianjur city car free day, which aims to ensure that people can feel the benefits of these activities, including the body becoming fresher, not sore, feeling more relaxed and so on so that people get benefits from these activities. This PKM activity was carried out during two meetings on February 11-18, 2024 with a total of 327 massage objects from various educational backgrounds and professions.The community felt happy and satisfied and hoped that similar activities could be carried out every week.
Using Elliptic-Curve to Implements SSL Certificate Derives from CSR to Make Secure Connection between Server and Client
Authors:   The College of Technical Sciences Misrata - Libya, Suwayeb Abdulaziz Mahmud , Elsaghayer Mahmoud Mohamed ,   The College of Technical Sciences Misrata - Libya
Published: January 2025

The paper discusses the implementation of Secure Sockets Layer (SSL) certificates, which are obtained from Certificate Signing Requests (CSRs), to facilitate secure connections between servers and clients. SSL serves as an essential encryption protocol that guarantees the confidentiality, integrity, and authenticity of data transmitted over networks, thus playing a vital role in safeguarding online transactions and communications.
The paper outlines SSL process, which encompasses key components such as the key generation, and data encryption. Additionally, it highlights the importance of the RSA algorithm within SSL for effective key exchange and authentication purposes.
It also explains elliptic-curve cryptography (ECC), presenting it as a more efficient alternative to conventional cryptographic techniques. The advantages of ECC, particularly in terms of smaller key sizes and enhanced security, are emphasized, showcasing its superiority in modern cryptographic applications.
Furthermore, the paper provides practical implementation steps for creating a CSR using C# code, illustrating how to establish a secure connection utilizing elliptic curves. This includes a guide on generating a CSR file, which can later be utilized in the process of creating an SSL certificate, thus ensuring robust security for online communications.
Key words: Elliptic-curve, Secure Socket Layer, Certificate Signing Request, Rivest-Shamir-Adleman, Certificate Authority.
A Quantum Circuit Learning-based Investigation: A Case Study in Iris Benchmark Dataset Binary Classification
Authors: Akrom Muhamad , Herowati Wise , Setiadi De Rosal Ignatius Moses
Published: January 2025

This study presents a Quantum Machine Learning (QML) architecture for perfectly classifying the Iris flower dataset. The research addresses improving classification accuracy using quantum models in machine-learning tasks. The objective is to demonstrate the effectiveness of QML approaches, specifically the Variational Quantum Circuit (VQC), Quantum Neural Network (QNN), and Quantum Support Vector Machine (QSVM), in achieving high performance on the Iris dataset. The proposed methods result in perfect classification, with all models attaining accuracy, precision, recall, and an F1-score of 1.00. The main finding is that the QML architecture successfully achieves flawless classification, contributing significantly to the field. These results underscore the potential of QML in solving complex classification problems and highlight its promise for future applications across various domains. The study concludes that QML techniques can offer transformative solutions in machine learning tasks, particularly those leveraging VQC, QNN, and QSVM.
Study on Effect of Cations Addition to Mg-Zn Ferrite Nanoparticles: Synthesis and Characterisation
Authors: Vinaya  , Rajani M. R  , Ravishankar. R
Published: January 2025

The spinel ferrite nanoparticles have gained huge interest in several technological applications. Synthesis methods and the components of ferrites paly vital role in their features and the present work focus on the same. Various cations such as Bi, Ba, Ag and Cu substituted magnesium ferrites were synthesised using simple solution combustion method. The ferrites were characterised using XRD, FESEM and FTIR for their structure as well as morphology. The morpholocial changes were significant with the variation of cations such as Ba, Ag, Bi and Ca. The one with bismuth interestingly showed flake like morphology and other have showed the mixed morphology. Ferrites with Bi and Ba exhibited greater size than the ones with Ag and Ca. The study aims for the comparison on the varied features of ferrites upon cation variation.
"Evaluation of Sun Protection Factor (SPF) of Common Fruit and Vegetable Extracts Using UV-Visible Spectroscopy”: An Herbal Approach
Authors: Sana Fatima  , Ravindra Mishra  , Vinay Jain  , Saloni Jain
Published: January 2025

Skin cancer is one of the many skin conditions brought on by excessive ultraviolet (UV) radiation exposure. Sunscreen is essential for preventing sun damage since it contains UV filters. Because sunscreen absorbs or reflects UV rays, it shields the skin from UV-induced damage. However, prolonged exposure to physical and chemical UV filters can have a number of negative impacts on the environment and skin. Because of their antioxidant qualities and UV absorption, natural ingredients like fruit and vegetable extracts have been emphasized in sunscreen formulations. By measuring the sun protection factor (SPF), total phenolic content, and antioxidant activity of fruits and vegetables, this study seeks to assess their potential application as photo-protective agents. The SPF of five vegetable samples—tomato, brinjal, ginger, sweet potato, and onion—and five fruit samples—guava, mango, sapodilla, dragon fruit, and apple—was examined. The spectrophotometric method was used to measure the photoprotective activity, and the Mansur equation was used to calculate the results. The Folin-Ciocalteu method and the DPPH radical scavenging assay were used to evaluate the antioxidant activity and phenolic content of each sample, respectively. There was a moderate association between TPC and DPPH (r = 0.46, p > 0.05), a weak correlation between SPF and TPC (r = 0.02, p > 0.05), and a substantial correlation between SPF and concentration (r = 0.95-0.99, p < 0.05). The study demonstrates the potential for adding a number of specific plant extracts to sunscreen formulations.
A Efficient Integrity Index Based Dynamic Keyword Search Mechanism Over Large Encrypted Cloud Data
Authors: D. Naga Swetha  , Dr. Savadam Balaji
Published: January 2025

Public key cryptography, which integrates both static and dynamic keyword search capabilities, is essential in real-time cloud computing systems. Traditional keyword search models that rely on cryptography face considerable challenges in indexing and searching within cloud environments, primarily due to the varying sizes of data and transmission delays. Additionally, these models struggle with effectively managing various users performing dynamic keyword searches on encrypted cloud data. The primary challenges of current keyword search and cloud encoding methods include inefficiencies in managing data size variations, performance bottlenecks caused by significant connection delays, and the complexity of dynamically handling access control and keyword searches for different users. To address these difficulties, we propose implementing a hybrid dynamic user integrity algorithm specifically designed to enhance the encryption and indexing procedures of cloud data. This approach utilizes a hybrid dynamic model for user access control-based encryption and decryption, which is applied to user data before it is uploaded to the cloud server. Experimental results demonstrate that the proposed dynamic keyword search paradigm, which prioritizes integrity and encryption, significantly outperforms traditional techniques in managing encrypted cloud data.
Analysis of the construction of knowledge in connection with industry
Authors: Zeltzin Lievanos , Osnaya Mabel , Jerónimo José Antonio
Published: January 2025

The term dual training is understood as a type of professional education, where the teaching-learning process takes place in two different places, school and industry (Zamora-Torres et al., 2020). The knowledge management model is approached through the conversion between tacit and explicit knowledge (I. Nonaka & Teece, 2001). The SECI model refers to a process of knowledge creation and transfer through four modes of knowledge conversion. When exploring current practices through a Likert-type scale that analyzed students' perception of knowledge management in a dual educational model, the results show significant differences in the perception of knowledge management between school-based and dual mode students, being more favorable for dual mode students in the factors of knowledge generation, application and tutoring. The factor analysis identified four key factors that explain 57.764% of the total variance with four factors: knowledge generation and application, knowledge sharing, knowledge acquisition and application, and content tutoring. When performing Student's t-test for independent samples of the factors with modality, even more significant differences were found, with a p-value=-2.822, sig=0.005.
Evaluation of the impact to the mirror class, as pedagogical strategy to strengthen investigative. UNJu-Univalle
Authors: Duran Rosana Flavia Laura , Soriano Ballivian Estefania , Zapata Urey Fernando , Castillo Gustavo Daniel
Published: January 2025

Research competence is crucial for academic development, however, it faces difficulties in developing critical and methodological skills necessary for scientific research. The Mirror Class (EC) as a pedagogical strategy strengthens ties of international cooperation, academic, scientific and cultural interaction between professors and students. Participants: National University of Jujuy - Argentina and the University of Valle - Bolivia, chairs of Elaboration and formulation of value-added projects and Bromatology. Objective: to evaluate the impact of the Mirror Class on the development of research competence, identifying the main barriers to research skills. Evaluative questionnaires were conducted before and after the intervention, analysis of food research projects to measure improvements in critical methodological competencies, interviews and focus groups to obtain qualitative feedback on the experience and effectiveness. Students showed significant improvements in their research competencies, projects revealed greater methodological rigor and more developed critical skills. Interviews and focus groups highlighted that CE promoted greater collaboration and interactive learning by promoting the development of critical and methodological skills necessary for scientific research. Its adoption is recommended in diverse educational contexts to explore its potential in different areas of knowledge.
Analysis of engine overheating in the Mazda BT-50 model. Perspectives from automotive mechanics experts
Authors: Pilicita Josué , Domínguez Josué , Torresano Carlos , Salazar Byron
Published: January 2025

Engine overheating in the Mazda BT-50 affects its performance, durability and sustainability, directly influencing the degradation of the lubricating oil and cooling system. This study analyzed the causes, consequences and solutions to the problem, based on structured interviews with experts in automotive mechanics. The results revealed that radiator, thermostat and water pump failures are the main causes of overheating. These failures, along with non-compliance with maintenance practices, aggravate the risks of severe engine damage. The experts recommended maintaining a temperature range between 92 and 98°C and performing preventive maintenance, including radiator flushing, periodic coolant change and replacement of key components at regular intervals. The study concludes that overheating can be prevented through a comprehensive approach that combines robust design, rigorous maintenance and user education. This not only improves efficiency and extends engine life, but also reduces repair costs and promotes more sustainable practices in the automotive industry
3D biomodels to integrate an imaging diagnosis as an aid in learning clinical diagnostics in dentistry
Authors: Jerónimo Montes José Antonio , Martínez Rodríguez Angélica Rosalva , Cruz Juan Ignacio
Published: January 2025

The work presented here corresponds to the purpose of the PAPIT Project IN306823 Emerging pedagogies and open educational movement, particularly in digital and 3D printed format; applied in learning activities in Health Sciences, in dentistry. In the salud area, the challenge is to attract the attention and interest of students to learn anatomy, pathology and promote the integration of knowledge of the basic areas referred to above in the process of identifying lesions, in that formative experience focused on the use of radiographic images of patients. The learning experiences that are shared incorporate 3D printed models that have been generated with DICOM data obtained from CT scans, which are transformed into a geometry data. STL (Blue Sky Plan software) data are transformed into slices (SLICER) for 3D printing in the CURA program. These resources have been a support for teaching and learning. The 3D models are called Biomodels and have been tested in small groups as part of the Design Thiniking methodology; the results have been identified through open interview and online forms.
Morbidity at discharge in the Urology Department of the Peltier University Hospital Center in Djibouti
Authors: Acosta Herrería Dulvis Lianet , Santana Pérez Jorge Luis , Sosa Remón Ariel , Auza-Santivañez Jhossmar Cristians , Jeréz Alvarez Ana Esperanza , Santana León Jorge Luis , Aguirre Cruz Benito , Robles-Nina Sara Milca
Published: January 2025

Introduction: Morbidity at discharge after admission for urological diseases has been scarcely described in the literature. Methodology: A quantitative, observational, descriptive, longitudinal study was conducted at the Peltier University Hospital Center in Djibouti, from January to July 2024. The population was 131 patients hospitalized in the urology service and the sample was 129 discharged patients. Objective: to describe morbidity at discharge from the Urology service. Results: The largest number of patients admitted were patients diagnosed with prostatic hypertrophy and hydronephrosis. Adenomectomy and minimal access surgeries were performed relatively frequently and the predominant complication was infection of the surgical wound. Conclusions: The patients who were admitted and treated had diagnoses that reveal the impact of sociodemographic factors on the population of Djibouti, advanced age and desert climate