bluuebunny/crossref_metadata_2025 huggingface dataset:
Comprehensive control in the training of highly qualified athletes
Authors: Popov A.N. , Pavlov N.I.
Published: November 2023

The systematic representation of complex control in the training of highly qualified athletes — students of the University of physical culture is substantiated. The fundamental concepts within this system are defined. Special attention is paid to the issues of ensuring control, its indicators and the effects of integrated control in the training of highly qualified athletes in the framework of a “dual career”.
Sports training of youth parathekwondists with disorders of the musculoskeletal system
Authors: Shashin A.V. , Sviridenko N.Yu.
Published: November 2023

The article discusses some features of the sports training of youth para-taekwondo athletes (with musculoskeletal disorders).
Relevance. Para-taekwondo athletes with musculoskeletal disorders train within the framework of the WTF standard (PODA) or the taekwondo standard for healthy athletes, so sports training requires special attention and an individual approach.
Problem, goal, tasks. The purpose of the study is to determine some features of the sports training of youth para-taekwondo athletes (with musculoskeletal disorders).
Research objectives.
1. The need for medical consultation for athletes and parents.
2. The need to develop an adaptive sports program, a flexible approach to organizing the training process, taking into account the limitations and capabilities of the athlete.
3. The focus of the training process for para-taekwondo athletes is on strengthening the muscles of the musculoskeletal system.
4. Monitoring the athlete’s condition.
5. A combination of group and individual approaches.
6. Timely and constant psychological support for athletes in conjunction with their parents.
Materials and methods of research: analysis, synthesis, generalization, systematization of scientific sources on the research problem.
Results and its discussion. It is noted that the scientific and methodological literature on the issues of taekwondo sports training for persons with musculoskeletal disorders is not enough, which allows us to talk about the relevance of this problem. The directions of study for the study of this problem In Russian and foreign practice are systematized. The main factors influencing the effectiveness of sports training for para-taekwondo athletes (with musculoskeletal disorders) have been identified.
Conclusions. It is concluded that the main features of sports training for para-taekwondo athletes (with musculoskeletal disorders) include: the need for medical consultation of athletes and parents, the development of an adaptive sports program, a flexible approach to organizing the training process, taking into account the limitations and capabilities of the athlete, the direction of the training process to strengthen the muscles of the musculoskeletal system, monitor the athlete’s condition, a combination of group and individual approaches, timely and constant psychological support for athletes.
The impact of the development of explosive force on the technical preparedness of hockey players 15–16 years
Authors: Dunaev K.S. , Zuev V.A. , Yarushin S.A.
Published: November 2023

This article discusses the development of the explosive power of strikers in hockey at the stage of higher sportsmanship within the framework of the developed methodology. The system of realization of its components is revealed, the rationale for the qualitative increase in the level of special technical preparedness is given, the algorithm for the implementation of the methodological component in the annual preparatory macrocycle is given.
Sports pedagogy of education in the categories of compensatory communication improvisation and implementation in practice
Authors: Popova A.A. , Popov A.N. , Pavlov N.I.
Published: November 2023

Sports pedagogy of education is presented in the categories of compensatory communication improvisation and implementation in practice. The latter is presented in the form of a certain structure of the creative personality harmonization. Special attention is paid to the results of a teaching staff’s survey of a number of universities in the Southern Urals regarding educational activities in the university of physical culture and sports profile.
Educational levels as a catalyst for socio-economic development: Observations from human resources viewpoints in sustainable community growth
Authors: Hübel (Anghel) Ștefania-Rodica , Stan Mari-Isabella , Tasențe Tănase
Published: November 2023

This study explores the complex relationship between education and socio-economic development in a post-pandemic context, highlighting education as a transformative cornerstone. Research shows that improving education has direct and indirect social benefits, including promoting business development and reducing poverty in communities. In addition, education has a significant impact on governance and sustainable development, playing a key role in wider socio-economic transformation and sustainability. Research objectives include assessing the impact of education on life satisfaction, economic stability, prospects, and household income adequacy. A diverse group of 216 participants from Central Dobrogea, Romania, ranging from primary to postgraduate levels of education and representing both the public and private sectors, participated. Education is emerging as a linchpin of national development, particularly in the post-pandemic era where human resources are paramount. It serves as a foundation for promoting sustainable community growth and has a profound impact on an individual's life satisfaction, prospects, and resilience to crises. The positive correlation between higher educational attainment and increased life satisfaction underscores the indispensability of education in shaping human resource policies for sustainable development. In addition, education equips individuals with the tools to manage post-crisis recovery and fosters optimism for the future. In essence, education acts as an indispensable catalyst for socio-economic progress, providing a pathway for individual growth and the promise of collective progress, resilience, and seizing opportunities in the midst of adversity.
Gobierno, Democracia y Ciudadanía Universitaria en Argentina: Estudio sobre las universidades públicas, a partir del caso de la Universidad Nacional Tucumán
Authors: Falcon Paulo
Published: November 2023

Este ensayo se inscribe en la inquietud de abordar una reflexión sobre la universidad pública argentina, su diseño institucional y organización democrática, a partir del análisis del caso de la Universidad Nacional de Tucumán. Desde esta perspectiva, se centra en el análisis del concepto de ciudadanía desde un punto de vista político, con el objetivo de profundizar en los aspectos centrales de la participación ciudadana y la representación del demos universitario en los espacios de cogobierno. Es en este punto donde se precisa analizar cómo la organización universitaria y su democracia contribuyen al reconocimiento de los derechos ciudadanos de los actores universitarios, tanto colectivos como individuales, en el contexto de pertenencia. La metodología empleada para la construcción de esta comunicación se basa en una revisión bibliográfica de tipo descriptivo, donde se examinaron diversos documentos que sustentan la constitución y el funcionamiento de las universidades públicas de Argentina. Se puede inferir que la democracia universitaria, en particular, requiere de sujetos históricos que la imaginen y anhelen; que se organicen y luchen por ella, y que la constituyan en las condiciones académicas, científicas, culturales y políticas existentes. Sin duda, en el marco del tratamiento integral de los grandes temas que convergen en ella, como medio para la democratización de nuestras Casas de Altos Estudios.
Organizational Culture and Strategy Implementation in Kenya Government Tourism Agencies
Authors: Kyalo Juliana
Published: November 2023

Purpose: The main aim of this study was to examine the influence of organizational culture on strategy implementation in Kenya Government Tourism Agencies.

Materials and Methods: The study used a positivist approach research philosophy. The research designs employed in this study were explanatory and descriptive research designs. The study population comprised of the tourism industry. The study included the ministry of tourism itself since it is the parent ministry that regulates and oversees the operations of the tourism agencies to give a total of 10 areas of study. A sample of 327 was achieved based on the following formula. This study used primary data. The study used questionnaires and interview guides to collect both qualitative and quantitative data. Quantitative data was analyzed through scientific methods using the statistical package for social sciences (SPSS version 22) while qualitative data was analyzed thematically. The descriptive statistics was first used to analyze the demographic factors of the respondents using frequencies and charts. Inferential statistics such as correlation and multiple linear regression analysis were used to test the relationship among the variables as per the study hypothesis.

Findings: The culture of an organization was found to play a critical role in implementation of strategies and consequently realizations of set objectives and profits in organizations. Organizational norms, ethics, employee training and organizational climate are very key in achieving success while implementing strategies.

Implications to Theory, Practice and Policy: It is recommended that organizations (tourism industry) create strategy implementation promoting culture, culture of timeliness, innovative culture, ethics and one which promotes team spirit. These aspects of culture need to be reinforced and strengthened to ensure implementation of strategies is smooth and quick enough. This study thus bridges the gap between theory and practice, offering a nuanced understanding of the interplay between organizational culture and strategy implementation in a critical sector for Kenya's economy.
Pelatihan Pembuatan Media Pembelajaran Berbentuk Video Animasi 3d Dengan Karakter Diri Sendiri Menggunakan Aplikasi Loomie Dan Obs Untuk Meningkatkan Literasi Informasi Pada Guru Mgmp Matematika Smp Kota Jambi
Authors: Simatupang Gugun M , Sabil Husni , Mujahidawati Mujahidawati , Iriani Dewi , Romundza Febbry
Published: November 2023

Tujuan dari kegiatan pengabdian ini adalah untuk membantu dan melatih guru SMP dalam membuat media pembelajaran berupa video animasi matematika 3d dengan karakter diri sendiri menggunakan aplikasi loomie dan obs untuk meningkatkan literasi informasi guru. Metode yang digunakan dalam pelaksanaan kegiatan pengabdian ini adalah dengan menggunakan metode diskusi dan tanya jawab,demonstrasi, dan ekspositori. Peserta dalam pengabdian ini adalah 22 guru MGMP Matematika SMP. Instrumen yang digunakan dalam pengabdian ini adalah angket literasi informasi guru sebelum dan setelah pelatihan pembuatan video animasi matematika 3d dengan karakter diri sendiri menggunakan aplikasi loomie dan obs. Berdasarkan hasil pelatihan diketahui bahwa sebagian besar guru yang mengikuti pelatihan merasa sangat puas dan senang dengan pelatihan ini. Dengan demikian, dapat disimpulkan bahwa pelatihan pembuatan presentasi video animasi matematika 3D dengan karakter diri sendiri menggunakan aplikasi loomie dan obs dapat meningkatkan literasi informasi guru MGMP matematika di SMP Negeri kota Jambi
LAW NUMBER 12 OF 2022 REGARDING SEXUAL VIOLENCE CRIMES AS IMPLEMENTATION OF THE 5TH POINT OF THE SUSTAINABLE DEVELOPMENT GOALS IN INDONESIA
Authors: Probosambodo Yokhebed Arumdika , Widiastuti Widiastuti
Published: November 2023

This study aims to understand the changes that have occurred since the enactment of the Sexual Violence Crimes Law in providing legal protection for women, who are the majority of victims of sexual violence in Indonesia, and to assess the implementation of the SVCL in Indonesia in line with SDG Goal 5 on Gender Equality. The method used in this research is normative legal research. Normative legal research is research conducted by reviewing the applicable laws and regulations on a particular legal issue. The proposed legislation aims to serve as a comprehensive legal framework that addresses various issues related to sexual violence. It is expected to provide a legal umbrella to effectively deal with the complexities and challenges associated with sexual violence. The drafting of this legislation was prompted by the alarmingly high number of sexual violence cases in Indonesia between 2001 and 2011, totaling 1,398 reported cases. During that period, 25 percent of the total reported cases amounted to sexual violence against women. Based on this calculation, at least 35 women became victims of sexual violence. As a result of the alarming number of cases, the National Commission on Violence Against Women (Komnas Perempuan) issued a statement declaring that Indonesia is currently in a state of emergency regarding sexual violence. Overall, the intention behind this legislation is to address the pressing issue of sexual violence in Indonesia comprehensively. It seeks to provide a strong legal framework to protect victims, hold perpetrators accountable, and contribute to a safer and more equitable society. It is linked to SDG Goal 5 on Gender Equality.
GAME-BASED INSTRUCTION: ENHANCING THE LEARNER'S RETENTION IN WORLD HISTORY SUBJECT
Authors: Concepcion Grace L. , Gole Lenden Joy T. , Coma Jhastine Faye M.
Published: November 2023

This research aims to determine the influence of game-based instruction in improving students' learning retention. Ascertain the difference in the students' learning retention of the group and individual game-based instruction. The researchers utilized Action Research Design, specifically Collaborative Action Research Design. The data collection was done through both quantitative and qualitative approaches. A game-based instruction and interview were employed to collect the required data. Based on the results the respondents found the 5Ps as an assessment tool that helps retain information. This indicates that collaborative game-based activity is effective for the students in acquiring knowledge and skills. The results indicate that the student’s performance in Group game-based obtained better scores than the Individual game-based. Results indicated that group game-based instruction is highly beneficial and significantly contributes to the enhanced learning retention of the students.
THE EFFECT OF COBALT DOPING ON THE HEMATITE MATERIAL SYNTHESIZED USING PRECIPITATION METHOD AS A LITHIUM-ION BATTERY ANODE
Authors: Suyati L. , Rizky F.F.A. , Al-Zaitun S.S.L.A. , Gunawan Gunawan , Widodo D.S.
Published: November 2023

Hematite is an iron oxide that has the most stable and environmentally friendly structure. Hematite is used as a good anode material, this is due to its high specific capacity, good chemical and thermal stability, and low cost. Hematite has weaknesses, namely poor cycle stability, unable to withstand volume changes, and low conductivity values. To improve the electrochemical performance of lithium-ion batteries, modifications are made to the anode material by adding a dopant. This research aims to synthesize Co-doped hematite material with variations of 0.2, 4, and 6.8% using NaOH and KOH precipitating agents, characterize Co-doped hematite material using FTIR, XRD, SEM-EDX, and analyze its electrochemical performance as a lithium-ion battery anode. The method used is deposition. The synthesis results obtained brick red and black precipitates. FTIR characterization shows that the sample contains the Fe-O-Fe functional group which appears at wave numbers 519.19 and 517.32 cm-1. Based on XRD characterization, samples of undoped hematite and 6% Co had crystal sizes of 26.4193 nm and 20.6927 nm. SEM characterization results show that the morphology of the 6% Co-doped hematite sample has an irregular semi-spherical shape. The electrochemical test results show that the battery with the best electrochemical performance was produced by a 6% Co-doped hematite sample which had a conductivity value of 2.35 x 10-3 S/cm and the resulting battery capacity efficiency reached 99.9%.
FRACTAL ANALYSIS OF GROSS DOMESTIC EXPENDITURES ON RESEARCH AND DEVELOPMENT (R&D) WORLDWIDE
Authors: Jordan Robert P. , Caotivo Jerson M.
Published: November 2023

This paper aimed to describe the roughness of data on gross domestic expenditures on research and development (R & R&D). From the World Bank statistics, fractal analysis was performed to discover a pattern of self-similarity and ruggedness of gross domestic expenditures on research and development (R&D) of countries worldwide in 2018. The fractal dimension is 1.84710, indicating that 4.7 percent of countries expended a higher percentage of their GDP on research and development (R&D). Hidden fractal dimensions complement this data, which shows that counties with lower rates of gross domestic expenditure on research and development (R&D) have low economic growth and development.
A COMPREHENSIVE REVIEW OF LITERATURE ON CREATING LOCALIZED MODULES AS SUPPLEMENTARY RESOURCES FOR FILIPINO INSTRUCTION
Authors: MAYOS DANICLAIRE H. , SABELING MARILYN E. , BUGTONG ROWENES L. , COPAS CARINA P. , CALICDAN MYRA SOL M. , PUSOT ALLYN MAY G.
Published: November 2023

This paper aims to provide a comprehensive overview of numerous publications that delve into the significance of developing and utilizing locally tailored teaching materials, crafted by educators themselves, as an adjunctive resource to enrich the teaching-learning continuum. The central objective is to elucidate the intricate interplay between students' learning experiences and achievements and the instructional resources employed by teachers in the educational process. The primary sources of information for this paper are drawn from articles sourced from various global internet publications, forming the backbone of the analysis. The primary focus lies in distilling the key findings and recommendations offered by these scholarly journals. By leveraging a diverse range of worldwide internet publications, the paper strives to compile insights that contribute to a nuanced understanding of the relationship between instructional resources and student outcomes. The emphasis is placed on the conclusions and recommendations emanating from these journals, seeking to distill practical implications for educators and educational policymakers.
Communication of Community Related Matters to Enhance Service Delivery in a Rural Ulundi Municipality of South Africa
Authors: Ndaba Nobuhle Elizabeth , Ngcobo Sandiso
Published: November 2023

The dawn of democracy in South Africa since 1994 has witnessed numerous and violent service delivery protests from the African masses who were previously disenfranchised who expect better care from their legitimately elected government. The responsibility to provide basic services has been decentralized to enable a bottom-up approach to governance. The purpose of this paper is to examine the extent to which and depth of communication between communities and ward councillors together with the municipality members in a rural South Africa. The study used a questionnaire to gauge how the randomly selected sample of 116 community members from the population of Ulundi Municipality perceived the communication they received. Data analyses relied on the use of a statistical software and the study is descriptive. The findings revealed that the residents were familiar with their ward councilors and participated in ward meetings. However, the municipality was identified as not satisfactorily accessible to the constituents. This suggests that there should be measures put in place to improve communication at this level. More so because service delivery protests are often directed at councilors and municipalities as they are the ones legislated to provide services at the local sphere of government. Regular communication would allow the municipality to appraise communities about challenges they might experience in bringing about quality services to the community. Spheres of local government from different levels should co-ordinate their activities to reach all the communities.
Ekofeminizm Bağlamında Dede Korkut Hikâyelerinin İncelenmesi
Authors: KARA Nursu Nida
Published: November 2023

Ekofeminizm, çevre sorunları ile toplumsal cinsiyet eşitsizliği arasındaki bağlantıyı vurgulayan bir düşünce ekolüdür. Doğayı ve kadınları sistematik bir düzeyde sömüren ve ezen ataerkil kapitalist sistemi eleştirmektedir. Ayrıca çevresel yıkımın kadınlara yönelik şiddet ve sömürü ile bağlantılı olduğunu ileri sürmektedir. Dede Korkut Hikâyeleri, Türk edebiyatının en önemli eserleri arasında yer almakta ve Orta Asya'dan Anadolu'ya uzanan uzun bir geleneğe dayanmaktadır. Hikâyelerde, erkek kahramanlığı ve savaşçılığı merkeze alarak sıklıkla doğa ve çevreyle kurulan ilişkiler tasvir edilmektedir. Ekofeminist bir mercekten bakıldığında pek çok açıdan değerlendirilebilir. İlk olarak, hikâyelerdeki doğa tasvirlerinin ve çevresel temaların ekofeminist analizi, insanların doğayı nasıl etkilediğini göstermektedir. Avcılık, çiftçilik ve hayvancılık, kahramanların doğayla olan ilişkilerini dengelemeleri gerektiğini belirtmektedir. Ekofeminizm, bu denge olmadan doğanın istismar edildiğini ve çevresel dengesizliklerin ortaya çıktığını savunmaktadır. İkinci olarak, ekofeminizm Dede Korkut Hikâyeleri’ndeki kadın karakterlere uygulanabilir. Kadın karakterler sıklıkla erkekleri destekleyici roller oynamaktadırlar. Ekofeministlere göre ataerkil kültür kadınları ve çevreyi sömürmekte ve boyun eğdirmektedir. Son olarak, Dede Korkut Hikâyeleri’nde vurgulanan erkek kahramanlık ve savaş teması, ekofeminist bir bakış açısıyla eleştirilebilir. Erkek kahramanlık ve savaş teması, doğanın tahribatına yol açabilecek bir erkek egemenliği ve şiddet kültürünün teşvik edildiğini ima etmektedir. Bu perspektife göre, erkeklerin üstünlüğü, kadınların ve doğanın sömürülmesine ve baskı altına alınmasına katkıda bulunmaktadır. Bu makalede, Dede Korkut Hikâyeleri’nin doğa, çevre, kadınlar ve toplum arasındaki ilişkilerin ekofeminist bir analizi yapılmaktadır. Toplumun doğa ve kadınlarla olan ilişkisini daha derinlemesine anlamak ve sürdürülebilir yaşamın teşvik edilmesi amaç edilmektedir.
Continuous Versus Interrupted Sutures for Repair of Episiotomy or Second-Degree Perineal Tears
Authors: Uzma Nayyer  , Maria Tariq  , Afnan Rizwan  , Gul Amber  , Muhammad Nahyan Dar  , Michelle Ahmad Jaspal
Published: November 2023

Objective: To compare the efficacy in absorbed continuous vs interrupted suture material for repair the episiotomy and 2nd degree perineal tears in terms of time required for repair, number of suture material used and pain relief following childbirth.
Methodology: A comparative randomized controlled trial was performed in Gynae & Obstetrics department of Akbar Niazi Teaching Hospital, Islamabad between May and October 2022. Total 300 patients of term delivered by spontaneous vaginal birth with episiotomy or 2nd degree perineal tear through non probability consecutive sampling were included. In Group A perineal tear was repaired with continuous non locking sutures and in Group B continuous locking sutures was done. Duration of procedures and number of suture material used was noted. Patients were followed for 24 hours for pain.
Results: The patients mean age was 24.85±3.98 years. The gestational mean age at time of delivery of all the cases was 38.79±0.84 weeks. Type of perineal trauma among all the cases was observed as 84 (28.0%) cases had 2nd degree perineal tear while 216 (72.0%) had episiotomy. Mean time required for suture repair in Group A was 9.0±0.86 sec, while in Group B, the mean time required for suture repair was 15.02±2.06 sec (p-value = 0.001). Mean suture material required for suture repair in Group A was 108.38±9.70 cm, while in Group B, the mean suture material required for suture repair was 114.01±7.17 cm (p-value = 0.001). The mean pain score in Group A was calculated as 3.64±0.94 on VAS, while in Group mean pain was 5.46+0.75 on VAS (p-value = 0.001).
Conclusion: Through this study, it was proved that episiotomy and repair of perineal tears with continuous suture is faster, and uses less suture material without increasing complexity compared to interrupted suture. The continuous suture method of perineal repair is associated with less pain than the interrupted method.
ÖĞRENME YÖNETİM SİSTEMLERİNİN (ÖYS) YENİLİĞİN YAYILIMI KURAMI ÇERÇEVESİNDE İNCELENMESİ
Authors: ÖZGÖKÇE KOÇ Rezan , ÖZKANAL Berrin
Published: November 2023

Bu araştırma, Anadolu Üniversitesi Uzaktan Öğretim Bölümü Tezsiz Yüksek Lisans öğrencilerinin görüşleri doğrultusunda Anadolu Üniversitesi Öğrenme Yönetim Sistemini (ÖYS), yeniliğin yayılımı kuramı çerçevesinde incelemeyi amaçlamaktadır. Araştırmada nitel araştırma yöntemi kullanılmıştır. Çalışma grubu amaçlı örneklem türlerinden ölçüt örnekleme yöntemi ile belirlenmiş ve Anadolu Üniversitesi Uzaktan Öğretim Tezsiz Yüksek Lisans Programında öğrenim gören 20 öğrenci araştırmanın katılımcılarını oluşturmuştur. Verilerin toplanmasında yarı yapılandırılmış görüşme formu kullanılmıştır. Verilerin analizinde ise içerik analizi yönteminden yararlanılmıştır. İçerik analizi yöntemi ile toplanan veriler kod ve temalara dönüştürülerek analiz edilmiştir. Çalışmadan elde edilen bulgular sonucunda öğrenme yönetim sistemlerinin yeniliğin yayılımı kuramının yenilik algısı boyutunda yer alan beş özelliğine (göreceli avantaj, uyumluluk, denenebilirlik, karmaşıklık ve gözlenebilirlik) göre; sistemin, katılımcıların eğitim gereksinimlerini karşıladığı, öğrenenlerin önceki deneyimleri sayesinde sisteme kolay adapte oldukları ve sistemi yararlı buldukları ortaya çıkmıştır. ÖYS’lerin katılımcılar tarafından özellikle göreceli yarar boyutunda kullanım kolaylığı sağlaması, sadelik ve basitlik nitelikleri ile karmaşıklık düzeyini azalttığı ve böylece sistemin kullanımının arttığı görülmüştür.
Review on Polycystic Ovary Disease (PCOD)
Authors: Atish N. Dhakane  , Sharukh A. Khan  , Aslamkha C. Pathan
Published: November 2023

The research activity include the analysis of predisposing condition that increase the risk of PCOD due to genetic background and environmental factors such as endocrine disruptors and lifestyle. PCOD is a condion that affects womens ovaries the reproductive organ that produce progesterone and estrogen hormone that help in regulating menstrual cycle and also produce small amount of inhibition relaxin and male hormone called Androgen. Polycystic ovarian syndrome is a set of symptom related to an imbalance of hormone that can affect womens and girls at reproductive age.(6)
Authentication in ATM/ITM Machines using Iris Recognition Biometrics
Authors: Özgür Hafızullah , Selçuk Yunus Emre
Published: November 2023

Biometric identification is a method that encompasses many types of authentication systems, including iris features and characteristics. The behaviour of the tiny pixels in a person’s iris and pupil can be extracted and uniquely used for authentication in ATM/ITM machines. In this study, achieving higher accuracy and success is the goal. We have found out that the Daugman algorithm can enable the implementation of iris biometrics in a faster and more accurate way compared to other algorithms. This will allow ATM/ITM users can comfortably access their accounts and make transactions without the need for a card or PIN, while authenticating their identity in the machines using their iris biometrics. Such a system can also be used to authenticate national ID entitlement in programmes. Furthermore, such a system can enhance the accessibility of social benefits, subsidies, and other entitlements while minimizing fraudulent activities [1]
Real-Time Detection of Children in the front Seat of a Car using Deep Learning Algorithms
Authors: Alsughayyir Athirah Mohammad , Alluhaidan Ala Saleh
Published: November 2023

The use of automated technology has the potential to enhance road safety and prevent fatalities. A new approach for detecting the presence of a child in a car's front seat using image processing techniques can prevent accidents caused by children being in the front seat. By analyzing images from a surveillance camera, we can identify the location and analyze pixel values using machine learning algorithms to determine if a child is present in the image. This technology can help prevent severe accidents caused by leaving children in the front seat of a car. Our goal is to develop an AI-based deep learning algorithm that can detect children in the front seat of a car by analyzing various features of the child and classifying them as either a child or adult. This algorithm will also be used to detect the presence of people in the car and monitor the street, automatically sending traffic violation information to the driver. Our training dataset had 2,624 images, the validation dataset had 254 images, and the testing dataset had 316 images. We achieved a training accuracy of 97%, a validation accuracy of 95.67%, and a testing accuracy of 86%. The classification report is displayed in the figure provided.
An Intelligent Mobile Application to Decrease Food Waste Across School Campuses
Authors: Hsieh Elaine (Yi-Hsun) , Hsieh Hailey (Yung-Chen) , Wong Jenny
Published: November 2023

In this research project, we aim to solve the issue of food waste particularly in school campuses after seeing the large amount of waste thrown away each day at the school lunch. Oftentimes, students dislike the food choices they are given, and some other times, food gets thrown away when they order more than needed. To combat food waste, we created FoodShare Connect which includes three different roles, school manager, family, and students. The school manager can add the food items for students to vote, as well as the food available for giveaways. This will effectively decrease food waste as the students get to vote for the food that they like, and the unused food products can be distributed to families who want it. Throughout the process, we resolved the issue of preventing users from signing up with the wrong role, dealt with data storage, and prevented students from voting more than once a day. This is done mostly with the use of Google Firebase, where we store the data, and Flutter language. We made sure to save all the necessary information on Firebase, check whether the user is using the same role to log in as their role saved in Firebase, and override all the voting information as the new day begins. Overall, we believe this APP can tremendously decrease food waste in school campuses, save a lot more for others in need, and most importantly, save our environment.
An Intelligent Detection and Analyzing Mobile Platform for Pollen Allergies Prediction using Artificial Intelligence and Data Science
Authors: Liu Chengyu , Avellaneda Julian
Published: November 2023

This research paper introduces the mobile application called "Allergy App," designed to predict and manage pollen allergies using Artificial Intelligence (AI) and Data Science [1]. Allergies are widespread, often leading to serious health issues, such as asthma. The Allergy App tries to provide users with personalized risk assessments based on environmental and personal data, including location, age, smoking habits, and asthma history. The app's three key components include AI risk prediction, user authentication, and medical advice. There were several challenges during the development process and with the server [2]. The paper also shows experiments to assess the AI model's accuracy and address user input validation issues. While acknowledging some limitations, especially with text input formats, the Allergy App is a good tool for people to manage their allergies and reduce the risk of reactions, ultimately improving their quality of life.
Pre-Emptive Emotional Protection for Emotional Laborers through Real-Time Voice Analysis and Machine Learning
Authors: OH CHANG-MOOK
Published: November 2023

This paper proposes and develops 'LINCALL,' a real-time voice processing and machine learning system designed to provide preemptive emotional protection for emotional laborers working in environments such as call centers. LINCALL analyzes voice data in real-time conversations with customers to understand their emotional states, converting this data into text for analysis. The system identifies keywords and offers appropriate questions and answers, aiding emotional laborers in handling customer interactions more effectively. It also includes a feature for responding appropriately to the customer's emotional state, such as voice blocking. Additionally, the automatic voice-to-text conversion feature reduces fatigue for emotional laborers, enhances the efficiency of consultations, and aids in preemptive emotional protection for emotional laborers.
Application of a Simulation-Based V&V Approach to Automatic Voyage Planning
Authors: Akkermann Arnold , Hjollo Bjorn Age
Published: November 2023

Automatic route planning for seagoing vessels, generated by a shore-based service provider, should be highly reliable. Even if this route planning has to be adapted to the specifications of the ship on board, the route should always be navigable and safe. Depending on the relevant parameters such as estimated time of arrival (ETA), speed, etc., it should therefore not deviate significantly from the usual routes for tankers, ferries, etc. between two ports. In the past, the quality of the route planning carried out by the on-board navigation depended, among other things, on the experience and training of the personnel. As a result, these plans did not necessarily represent the optimal route. The automatic route generated by NAVTOR starts with the length of the route, which is intended to be as short as possible while still being fundamentally safe to navigate, thus helping to reduce CO2 emissions.
Web based Content Delivery using Learning Management Systems Under Higher Education
Authors: Chandrasekaran Arvind
Published: November 2023

Information technology advances facilitate new training and educational practices, thereby creating opportunities for new tools and methods, and these technologies modify educational patterns. The intelligent education frameworks are mostly qualitative studies, thereby enumerating the conceptual framework of the education systems smartly. Peer and teacher interaction and the teaching practice accommodate comprehending the students’ status and need in multiple ways and thereby provide the students with real-time asynchronous/synchronous help and guidance. The experts surveyed by the Analytic Hierarchy Process (AHP) were selected from E-learning and information technology totaling 14 people. The sub-criteria weight values display the E-Learning Education Planning key factors, which are the optimizations of educational resources; teaching is differentiated among the person, rate of course completion, and wireless connection reliably. The minor importance is the innovative pedagogies based on learning attention, theory, and data backup. Regarding contribution, only some studies used hierarchical design, and the AHP model presents the current research.
A Cost-Effective Virtual Sensor for Continuous Freshwater Nutrient Monitoring using Machine Learning
Authors: Zhou Andrew , Revilla Ivan
Published: November 2023

Nutrient enrichment of aquatic environments is a prevalent issue with wide-reaching negative implications for ecological stability, tourism and recreation, and vital drinking supplies. Proper management of nutrient influxes—primarily nitrogen and phosphorus—into aquatic environments is facilitated by continuous monitoring of nutrient levels within water bodies of interest, which offers a more complete understanding of seasonal trends and faster response times compared to traditional lab testing. However, continuous nutrient monitoring systems are prohibitively expensive, with ongoing energy and maintenance requirements that limit deployment. Machine learning shows potential for virtual sensor development with real-time nutrient prediction, based on continuously monitored surrogate indicators. In this study, we test the feasibility of this premise by evaluating the performance of Random Forest regressor (RF), k-Nearest Neighbors (kNN), Support Vector Machine regression (SVM), Decision Tree regressor, Artificial Neural Network, Gradient Boosting Regressor (GBR), and Histogram Gradient Boosting Regressor (HGBR) on one year of water quality testing data from sites across the Continental United States (CONUS). To address values missing not at random, an issue prevalent in water quality testing data, important surrogate indicators are identified by permutation importance. Models are then trained and tuned with Bayesian Optimization to identify hyperparameters optimal for explaining target variance. Across both phosphorus and nitrogen prediction, RF achieved the highest validation performance, with GBR and HGBR trailing marginally. Ensemble tree models appear to be well-suited to continuous nutrient monitoring and may be a cost-efficient solution to greatly supplement the existing highfrequency testing network.
A Data-Driven Strategy for Online Hate Speech Spreader Identification using Modified Pagerank
Authors: Ghosh Smita , Jhalani Shiv
Published: November 2023

Social media platforms have become breeding grounds for the dissemination of misinformation and harmful content, including hate speech. This research paper aims to tackle the urgent problem of hate speech circulation on Online Social Networks by primarily focusing on the early identification of users who are prone to spreading it. To achieve this objective, a novel data-driven metric is introduced, referred to as ’Hate Speech Potential’. Additionally, an innovative approach is proposed that leverages a modified version of the PageRank algorithm, termed the ’Hate Speech Potential Rank’ algorithm, to effectively detect and identify malicious users within a network. In a vast network with billions of nodes, the rapid spread of content makes timely detection and mitigation crucial. By assessing a user’s past behaviour of sharing or publishing hate speech, their ’Hate Speech Potential’ can be determined, enabling the identification of sources and spreaders of such content. The modified PageRank algorithm considers both the user’s individual characteristics and the influence of their neighbourhood, thereby capturing a more comprehensive picture of their sharing patterns. A pre-trained machine learning model was employed to accurately classify hate speech posts. By combining the predicted labels and user characteristics and implementing the modified PageRank algorithm, this paper aims to gain deeper insights into the dynamics of information dissemination within a social network, thereby contributing to a better understanding of user sharing behaviour and facilitating the development of effective strategies for addressing hate speech. K-Means clustering was used in experimental evaluations, demonstrating the effectiveness of the proposed approach.
Advanced Uncertainty Quantification and Novelty Detection for Random Forest Models
Authors: Merilinna Janne
Published: November 2023

In practical applications, model accuracy alone is insufficient; quantifying model uncertainty is crucial, particularly in mission-critical scenarios involving life, money, or reputation. In this paper, we propose a novel method called MACAU (Model-based AleatoriC and epistemic uncertainty Uantification) and implement it in the LightGBM gradient-boosting framework. MACAU enables the quantification of both aleatoric and epistemic uncertainties in Random Forest (RF). Additionally, MACAU offers enhanced noveltydetection capabilities, particularly valuable for identifying out-of-distribution (OOD) samples. We compare MACAU with other RF- or gradient boosted trees-based methods, including RF-native between-variance, quantile regression, inductive conformal prediction, exogeneous model for uncertainty estimation using the Gaussian negative log-likelihood method, Natural Gradient Boosting, and CatBoost. Our evaluation is conducted on both synthetic and real-world regression cases. The results demonstrate the effectiveness of MACAU in quantifying model uncertainty, as measured by the Continuous Ranked Probability Score, as well as detecting OOD samples, as measured by the ROCAUC.
A Mobile App for Tracking Psychological Mood Changes and Providing E-Therapy using Natural Language Processing and GPT-3
Authors: Zhang Xianghao , Ansah Austin Amakye
Published: November 2023

Five percent of individuals aged 18 and over reported regularly having feelings of depression in 2022 [6].The app developed uses Generative Pre-trained Transformer (GPT) to analyze sentiment values and provide appropriate human-like responses much like speaking to a therapist [7]. The application provides the user with a means of journaling and analyzing their psychological fluctuations daily. An application of this is finding a cause for negative mood changes through frequent journaling and mood check ins. The evaluation of the app shows that it is good enough for journaling and basic AI interaction with respect to mental health guidance. In the end, we delivered a ready to use journaling app with GPT integration included to provide an experience akin to speaking to a real therapist.
Lightweight Certificateless Authenticated Key Agreement Protocol
Authors: Gervais Mwitende
Published: November 2023

Data security and privacy are important to prevent the reveal, modification and unauthorized usage of sensitive information. The introduction of using critical power devices for internet of things (IoTs), e-commerce, e-payment, and wireless sensor networks (WSNs) has brought a new challenge of security due to the low computation capability of sensors. Therefore, the lightweight authenticated key agreement protocols are important to protect their security and privacy. Several researches have been published about authenticated key agreement. However, there is a need of lightweight schemes that can fit with critical capability devices. Addition to that, a malicious key generation center (KGC) can become a threat to watch other users, i.e impersonate user by causing the key escrow problem. Therefore, we propose a lightweight certificateless Authenticated Key Agreement (AKA) based on the computation Diffie-Hellman problem (CDHP). The proposed protocol maintains the characteristics of certificateless public key cryptography. The protocol is split into two combined phases. In the first phase, our protocol establishes a session key between users (sender and receiver). In the second phase, we use a lightweight proxy blind signature based on elliptic curve discrete logarithm problem (ECDLP). The used proxy signature has small computation costs, and can fit for small devices such sensors and protects against un-authentication and un-authorization on decentralized system. Compared to the existing AKA schemes, our scheme has small computation costs. The protocol achieves the well known security features compared to the related protocols.
Cybersecurity-Enhanced Game-Based Learning for Clinical Decision-Making: A Comparative Study
Authors: Ovabor Kelvin , Adams-Momoh Adeyinka , Atkison Travis
Published: November 2023

The purpose of this research is to determine whether medical professionals may benefit from gamebased learning to enhance their decision-making abilities. The research included 200 medical professionals from renowned institutions such as St. Peter's Hospital Albany, MedStar Union Memorial Hospital, Baltimore, St. Vincent Charity Medical Center, Cleveland, and Kindred Hospital, Los Angeles, who had prior experience with game-based learning systems. Both a pre-and post-test assessing the participants' ability to make difficult clinical decisions were done. Participants were exposed to an online game-based learning intervention available on MediSim Clinic, which offers a virtual simulation platform, and they demonstrated a considerable increase in their ability to make sound decisions. The results of the research provide preliminary evidence that game-based learning may be an efficient method for enhancing clinical decision-making abilities, including those related to cybersecurity challenges. Limitations and ideas for further research are presented, along with the study's consequences and recommendations for practice. This research contributes to the expanding literature on game-based learning and its potential for enhancing clinical decision-making abilities in the medical profession.
Analyzing the Influence of Technostress on Students: A Systematic Literature Review
Authors: Pourahmad Zahra , Ko¸c Hasan
Published: November 2023

Technostress is the stress experienced by individuals due to the use of technology. In today’s digital age, students are increasingly exposed to technology, which, with many benefits, can also lead to technostress. This can harm students’ overall well-being and academic performance. We thus argue that the impact of technology use on students should be better understood, and perform a systematic literature review (SLR), following the guidelines outlined in Okoli’s 8-step procedure. Reviewing the articles addressing technostress among students, the findings indicate that technostress can lead to decreased focus and concentration, impaired sleep patterns, social isolation, and a decline in mental health. It can also contribute to a negative attitude towards technology, hindering students’ ability to effectively leverage its potential for learning and productivity. The findings also suggest that the experience of stress is influenced by an individual’s perception of a stressful situation. Different individuals may perceive the same situation as stressful or non-stressful, depending on various factors such as time, place, and personal interpretation. This SLR provides a comprehensive and dependable resource for researchers, identifies existing research gaps, and proposes directions for future investigations.
Parto vaginal: evaluación ecográfica del músculo elevador del ano y del ángulo de progresión como predictor de éxito
Authors:   Clínica Maternidad “Santa Ana” del IVSS. Universidad Central de Venezuela., Carpio Eulys , Veroes Jesús
Published: November 2023

Objective: To evaluate the levator ani and the angle of progression by transperineal ultrasound as a prediction of delivery in fullterm primigestas who are not in labor, at the “Santa Ana” Maternity Clinic of the Venezuelan Institute of Social Security, between October 2021-March 2022. Methods: Prospective, descriptive, cross-sectional study. It included 50 full-term primigestas, not in labour. The anteroposterior diameter of the levator hiatus of the anus, the coactivation of the muscle and the angle of progression were evaluated by transperineal ultrasound. The usefulness of the determinations described in predicting successful vaginal delivery was established. Results: The mean anterosposterior diameter of the hiatus of the levator ani, at rest, was 48.9 ± 10.2 mm and, in Valsalva maxima, was 58.1 ± 11.0 mm (p=0.001). Coactivation of the levator ani was observed in one patient (2.0 %). The mean angle of progression of the fetal head was 88.9 ± 11.6 degrees. The duration of labour and the route of resolution were independent of both measures. The critical points of the anteroposterior diameter of the hiatus of the levator of the anus were: at rest, 31 mm; in Valsalva maximum, 61.5 mm and in Valsalva-rest, 9.5 mm. For the angle of progression it was 79.0 degrees. The best performance was obtained for the maximum-resting Valsalva measurement (sensitivity 78.1% and specificity 100%). Conclusion: No significant association was established between the levator ani and the angle of progression measured before labour, and the route of labour.