bluuebunny/crossref_metadata_2025 huggingface dataset:
Leveraging Neutrosophic TOPSIS with Artificial Intelligence-Driven Tropical Cyclone Intensity Estimation for Weather Prediction
Authors:   Department of Mathematics, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia, Fuad Fuad ,   Department of Economics and Policy Sciences, College of Commerce and Economics, Hodeida University, Hodeida, Yemen.,   Department of Marketing and Production. Faculty of Administrative Sciences Thamar University,,   Department of Economics, Faculty of Economics and Commercial, University of kordofan,, A. Shoraim M. H.. , magdashi Amal O. A. Al , Abouzeed Badr Eldeen A. A.
Published: April 2024

Tropical cyclones (TCs) are powerful, low-pressure weather systems attributed to heavy rainfall and strong winds, and have often resulted in extensive damage to coastal regions. TC intensity prediction, an essential aspect of meteorological forecasting, includes evaluating the strength of the storm to facilitate disaster preparedness and alleviate possible risks. Classical approaches for the prediction of TC intensity rely on different oceanic and atmospheric parameters, but the incorporation of artificial intelligence (AI) approaches, especially those leveraging image data, provides positive breakthroughs in efficiency and accuracy. By harnessing AI techniques like deep learning architectures and convolutional neural networks (CNNs), meteorologists could analyze radar data, satellite imagery, and other visual inputs to distinguish complicated patterns indicative of intensity changes and TC development. This combination of weather science and AI-driven image analysis enables more timely and precise predictions and improves our understanding of TC dynamics, eventually fortifying protection against the impacts of formidable storms. This article introduces Neutrosophic TOPSIS with Artificial Intelligence Driven Tropical Cyclone Intensity Estimation (NTOPSIS-TCIE) technique for Weather Prediction. The presented NTOPSIS-TCIE technique determines the intensities of the TC which in turn helps to forecast weather. In the NTOPSIS-TCIE technique, median filtering (MF) approach is used to remove the noise in the images. In addition, the features are extracted using deep convolutional neural network (CNN) model. To enhance the performance of the CNN model, Harris Hawks Optimization (HHO) algorithm is applied. Finally, the NTOPSIS model is employed for the prediction of TC intensities. The performance of the NTOPSIS-TCIE technique can be studied using TC image dataset and the results signify its promising results over other models
Rwanda-Conflict, Violence, and Reconstruction
Authors: Zhen Cheng
Published: April 2024

When it comes to Rwanda, most people first think of the tragic movie The Rwanda Hotel. That film recreates the bloody 1994 massacre in Rwanda, causing irreparable harm to every Rwandan people. Rwanda's history is indeed full of hatred and misery. After the massacre, the Rwandan government led the people to take national reconstruction measures for the country and achieved the desired results. Based on adjusting their own culture, the Rwandans also explored a development path that suits their national conditions and has African characteristics. After the completion of the reconstruction, Rwanda largely resumed its economic development and made all-around progress, even known as the Singapore of Africa. Rwanda's reconstruction policy is generally improving, but there are still some shortcomings that need to be adjusted and improved. Driven by those reconstruction measures, Rwanda has achieved remarkable results and is worth learning from other countries.
Integrating Models in Education: Evaluating Strategies and Enhancing Student Learning Through Advanced Analytical Methods
Authors: Li Mingxuan
Published: April 2024

This paper undertakes an in-depth examination of contemporary educational models, focusing on their impact on student learning and teaching strategies. It contrasts static models like the Item Response Theory (IRT) with dynamic models, notably Knowledge Tracing (KT) and its extensions such as the Knowledge Tracing Model (KTM) with a "Tutor Intervention" element. These dynamic models, particularly the dynamic Bayesian network (DBN) structure of KT, provide a detailed perspective on student learning, accommodating temporal skill variations and diverse educational interventions. The study further explores learning decomposition, revealing its effectiveness in evaluating various reading practices and their influence on reading fluency, underscoring the need for personalized educational approaches. Additionally, the paper discusses the Bayesian Evaluation and Assessment framework within Intelligent Tutoring Systems (ITS), offering a holistic view of both the immediate and long-term effects of tutoring. Key insights are presented on the efficacy of different educational models in reading education, advocating for diversified reading practices and personalized learning strategies. The paper also identifies limitations in current models, such as high standard errors in learning decomposition and weak fits in models like LR-DBN, and proposes future research directions, including automated analysis and a hybrid approach combining human expertise with computational analysis. This approach aims to enhance educational data mining and inform effective educational strategies and outcomes.
Tao Hongjing's Medical Health Preservation Philosophy
Authors: Zhu Mingyang
Published: April 2024

In the 21st century, the medical paradigm has transitioned from "disease medicine" to "health medicine," with the developmental trend shifting from "treating diseases" to maintaining a "healthy" state. Tao Hongjing, representing the field of health preservation studies during the Southern and Northern Dynasties in ancient China, contributed distinctive principles and methods to traditional Chinese medicine (TCM) health preservation, constituting a crucial aspect of TCM health preservation academic thought. His concise and cost-effective health preservation theories and methods encapsulate profound health preservation insights and philosophical contemplation, earning commendation from successive generations of medical practitioners and holding remarkable research value. Against the backdrop of implementing the "Healthy China" strategy and advocating "universal health," Tao Hongjing's health preservation philosophy holds significant reference value for enhancing human health awareness and promoting harmonious social development, providing strong practical guidance. This paper focuses on Tao Hongjing's medical health preservation philosophy, utilizing works such as Record of Nurturing Life for Longevity, Zhen Gao, Compendium of Materia Medica Annotations, Records of Renowned Physicians, and Collected Works of Tao's Seclusion ( ) as research materials to thoroughly explore Tao Hongjing's medical health preservation methods and academic characteristics.
Report on English-Chinese Translation Practice Based on Trados Computer Aided Translation: A Case Study of Procedure in Civil Cases in the U.S. Courts
Authors: Zhao Yuanyuan
Published: April 2024

This report focuses on the translation practice of parts of the text from "Procedure in Civil Cases in the U.S. Courts" using the Trados translation software. By comparing and analyzing the application of Trados in the translation process, this study aims to reveal the advantages and limitations of using computer aided translation (CAT) tools in legal text translation. The research finds that Trados significantly aids in the field of legal translation; however, its effectiveness is still limited by the translator's grasp of legal expertise. Therefore, this paper intends to offer practical suggestions and experience summaries for legal text translation and to discuss the pros and cons of CAT tools in specific fields. Through an in-depth analysis of Trados usage and a detailed examination of the translation practice results, this paper aims to provide feasible recommendations for improving the quality of legal text translation and to serve as a reference for the application of CAT tools in the legal field.
The L2 Proficiency Effect on Mentalizing Abilities by Tibetan-Chinese-English Trilinguals
Authors: Liu Yu , Chen Jianlin
Published: April 2024

This study investigates the mentalizing performances of Tibetan-Chinese-English trilinguals with different L2 proficiency, using the Reading the Mind in the Eyes Test accuracy as a measurement index. The results indicated that trilinguals proficient in both Tibetan and Chinese outperformed those proficient in Tibetan and relatively proficient in Chinese in mentalizing abilities. A survey on language background revealed a positive correlation between L2 proficiency and L2 usage frequency. For Tibetan-Chinese-English trilinguals, Chinese proficiency and usage frequency may have significant effects on their development of mentalizing abilities and involvement in social interaction.
A Study of Jocular Mockery with Conversation in Welcome to the Mushroom House
Authors: Xu Mengfei
Published: April 2024

There are fruitful research results about politeness and its strategies at home and abroad, but the research on mock impoliteness and its various practical activities still needs to be deepened. Combining previous researches with the corpus of collected conversational data from episodes 1-3 of Welcome to the Mushroom House, this paper analyzes the pragmatic mechanism and dynamic construction of the mock impoliteness practice activity of jocular mockery from the three dimensions of triggering mechanism, framing mechanism, and responding mechanism. The article is expected to provide more ideas for jocular mockery research. In the future, it can be combined with empirical research to explain the pragmatic phenomenon.
Analysis of the Development Trajectory of Marxs Historical Philosophy
Authors: Chen Xinghui
Published: April 2024

In his early years, Marx, inspired by Hegel, believed that history is a process of dynamic evolution. Therefore, he also paid attention to the replacement of social forms and the differences in social forms among different ethnic groups. While Hegel believed that the driving force of historical progress lies in spirit, Marx focused more on the role of material in it. Thus, in his theories of social forms and world history, Marx emphasized the historical progress brought about by changes in the mode of production. Based on this, Marx expounded his views on the evolution of social forms and the development status and prospects of world history. He consistently held a equality political inclination and continued to pay attention to the oppression suffered by backward nations. This paper summarizes Marxs social form theory, world history theory, and his related discussions on backward nations in his historical philosophy. It outlines the global perspective from the internal social evolution of nations to the coordinated development of the world, and then to Marxs humanitarian care for backward nations.
Analysis of Address Terms Translation Strategies: The Norms in the Translation of Address Terms in Moment in Peking
Authors: Yu Tianbo , Qiu Linxi
Published: April 2024

This paper, framed within Chestermans translation ethics, focuses on the translation of address terms in the first volume of Moment in Peking. It analyzes the practical application of professional norms and expected norms in the translation of novels, exploring the strategies of address terms translation. Through comparative analysis of different Chinese translations of address terms in the first volume of Moment in Peking (translated by Zhang Zhenyu, Yu Fei, and machine), this paper aims to reveal the ethical and professional norms that translators should consider in the selection of address terms and explore the performance of machine translation in terms of norms. The study finds that the ethical principles of human translators result in higher quality and reliability of translations, while machine translation, although formally faithful, still has deficiencies in context perception, emotional discernment, and target reader cognition.
Navigating the Complexities of International Economic Law: Implications for Global Trade and Investment
Authors: Liu Mohong
Published: April 2024

This paper explores the multifaceted landscape of international economic law and its profound implications for global trade and investment. Through a detailed examination of key legal instruments and treaties, including the World Trade Organization (WTO) agreements, Bilateral Investment Treaties (BITs), and Regional Trade Agreements (RTAs), the study elucidates how these frameworks shape the regulatory environment for international commerce. Central principles of non-discrimination, most-favored-nation (MFN) treatment, and national treatment are dissected to understand their practical application and impact on trade and investment flows. The role of international organizations in creating, enforcing, and shaping the norms and standards of global economic interaction is critically assessed. Furthermore, the paper delves into the legal challenges and strategic considerations businesses face in navigating international trade, investment protection, intellectual property rights, and the burgeoning digital economy. By examining case studies and practical implementations, the study highlights the dynamic interaction between legal frameworks and business strategy in the context of digital trade, data protection, and the use of digital currencies and blockchain in trade finance. This comprehensive analysis aims to provide insights into the evolving landscape of international economic law and offer strategic guidance for businesses and policymakers navigating these complexities.
Revolutionizing Sports Education: Harnessing Innovations and Technology for Enhanced Learning
Authors: Ma Shuo
Published: April 2024

This paper explores cutting-edge innovations in sports education, focusing on active learning strategies, the flipped classroom model, gamification, differentiated instruction, and the integration of technology. Active learning methodologies, such as problem-based learning and cooperative learning, engage students in critical thinking and collaborative problem-solving, while the flipped classroom model prioritizes experiential learning and learner autonomy. Gamification principles add elements of competition and rewards to enhance motivation and engagement, while differentiated instruction tailors learning experiences to individual student needs. Furthermore, technology integration, including virtual reality simulations, wearable technology, and online learning platforms, revolutionizes sports education by providing immersive experiences, real-time performance monitoring, and personalized learning pathways. Through a comprehensive review and analysis, this paper elucidates the transformative potential of these innovations in optimizing student learning outcomes and preparing athletes for success both on and off the field.
Balancing Governance and Rights: The Interplay Between Constitutional and Administrative Law
Authors: Zhen Ruisi
Published: April 2024

This paper explores the intricate relationship between Constitutional and Administrative Law and their combined impact on the governance and administrative capacity of a state. It delves into the foundational principles of Constitutional Law, such as the separation of powers, the rule of law, and the protection of fundamental rights, which provide the framework for democratic governance and the safeguarding of individual liberties. Concurrently, it examines the Administrative Law framework, focusing on the regulatory powers and procedural mechanisms that govern the activities of administrative agencies. A significant portion of the analysis is dedicated to the dynamic interplay between these two branches of law, emphasizing how constitutional mandates guide administrative actions and ensure adherence to principles of justice, equity, and transparency. The discussion extends to the mechanisms of legislative oversight, executive control, and judicial constraints, highlighting their roles in maintaining a balance between efficient governance and the protection of individual rights. Through this comprehensive examination, the paper sheds light on the essential balance that must be struck to ensure that governance mechanisms are both effective and respectful of the constitutional values that underpin democratic societies.
Revolutionizing architecture: The synergy of computational design and digital fabrication
Authors: Yang Yanxi , Fu Meng , Xing Jinquan
Published: April 2024

This article delves into the profound impact of computational design and digital fabrication on the architectural landscape, presenting a comprehensive overview of their theoretical foundations, technological advancements, and environmental implications. It explores the transition from traditional design methodologies to algorithmic and generative approaches, highlighting how these technologies facilitate the creation of innovative, efficient, and sustainable architectural solutions. Through the lens of pioneering case studies, the analysis demonstrates significant efficiency gains and the potential for reducing construction waste and energy consumption. The integration of computational design with digital fabrication heralds a new era of architecture that not only challenges conventional construction practices but also aligns with the urgent need for sustainability in the built environment. The article further investigates the role of material innovation, robotic automation, and software development in pushing the boundaries of what can be achieved, ultimately underscoring the environmental benefits of these integrated technologies.
The Effect of Utilizing Gamification in Enhancing English Language Skills in University Settings
Authors: Abu Qub’a Abdallah , Abdullah Al-Haj Eid Omar , Hasan Ghassan Adnan , Herz Jassim Al
Published: April 2024

This article aims to explore the effect of applying gamification in English language skills as a pedagogical approach to enhance students’ academic performance in university settings. The researchers employed a mixed-method approach to examine the impact of gamification on English language skills. Gamification involves integrating game elements and mechanics into non-game contexts, such as educational activities. The article examined the effect of gamification and its implementation in teaching English language skills in university settings. The study finds out that gamification offers a promising avenue for promoting engagement, motivation, and proficiency in teaching English language skills. However, further research is needed to investigate gamified learning environments' long-term effects and optimal design principles.
Bone Sarcoma Survival in the US Military Health System: Comparison With the SEER Program
Authors: Anderson Ashley B. , Kim Eungjae , Park Amie B. , Zhu Kangmin , Lin Jie , Shriver Craig D. , Potter Benjamin K.
Published: April 2024

Background:

Access to care is associated with cancer survival. The US Military Health System (MHS) provides universal health care to all beneficiaries. However, it is unknown whether survival among patients with bone sarcoma in a health system providing universal care is better than that in the general population. The aim of the study was to compare survival of patients with bone sarcoma in the US MHS with that of the US general population.

Methods:

The MHS data were obtained from the Department of Defense Automated Central Tumor Registry (ACTUR). The US general population data were obtained from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) registry. Adult patients were defined as those aged 25 years or older with a histologically confirmed musculoskeletal bone sarcoma diagnosed from January 1, 1987, to December 31, 2013. Kaplan-Meier survival curves and multivariable Cox proportional hazards models were used to compare the overall survival of the two populations.

Results:

The final analysis included 2,273 bone sarcoma cases from ACTUR and 9,092 bone sarcoma cases from SEER. ACTUR patients had significant lower 5-year all-cause death (hazard ratio = 0.72; 95% CI, 0.66 to 0.78) after adjustment for the potential confounders. ACTUR patients with bone sarcoma also exhibited significantly lower risk of all-cause death during the entire follow-up period than the SEER patients (hazard ratio = 0.75; 95% CI, 0.6 to 0.81).

Conclusions:

MHS beneficiaries with bone sarcoma may have longer survival than SEER patients. Our findings support the role of universal access to high-quality care in improving bone sarcoma outcomes.
Capability After Total Knee Arthroplasty for Osteoarthritis Is Strongly Associated With Preoperative Symptoms of Depression
Authors: Sayegh George E. , Sauder Nicholas , Brinkman Niels , Moore Meredith L. G. , Bozic Kevin J. , Patel Jay , Koenig Karl M. , Jayakumar Prakash
Published: April 2024

Background:

Primary total knee arthroplasty (TKA) aims to improve the level of capability (ability to perform valued life activities) associated with knee osteoarthritis (OA). However, some evidence suggests a substantial proportion of patients remain dissatisfied with their outcomes after this procedure. We sought to better understand the association between mental health, specifically symptoms of depression, with postoperative outcomes. Symptoms of depression are shown to be common among orthopaedic populations in general and can be briefly and conveniently evaluated using the Patient Health Questionnaire-2 (PHQ-2) in a less burdensome manner compared with longer mental health surveys. This study assesses the association between preoperative depressive symptoms (PHQ-2) and levels of capability at 6 weeks and 6 months after TKA.

Methods:

We conducted a prospective cohort study involving 114 patients with knee OA across five clinics in California and Texas scheduled for TKA. Participants completed a preoperative PHQ-2 and Knee Injury and OA Outcome Score for Joint Replacement (KOOS JR) survey at 6 weeks and 6 months post-TKA. We analyzed these data using bivariate and multivariable regression.

Results:

Preoperative PHQ-2 scores were significantly associated with lower KOOS JR scores at 6 weeks and 6 months post-TKA. Latino/Hispanic race was also associated with lower KOOS JR scores at 6 weeks. The association between preoperative depressive symptoms and level of capability after TKA were more pronounced at 6 months compared with 6 weeks.

Conclusion:

Preoperative symptoms of depression are strongly associated with reduced capability after TKA and can be screened for using the PHQ-2—a brief tool that can be feasibly incorporated into clinical workflows. User-friendly assessment of depressive symptoms can assist orthopaedic surgeons in identifying and addressing mental health at the outset during the management of knee OA.
Management of Pediatric Supination-inversion Ankle Injuries Involving Distal Tibia and Intraepiphyseal Distal Fibula Fractures
Authors: Shermetaro Jacob , Sosnoski David , Ramalingam Wendy , Tamai Junichi
Published: April 2024

Pediatric ankle fractures are prevalent injuries that make up a notable portion of all periphyseal injuries. The Salter-Harris classification is the most popular classification about physeal and periepiphyseal injuries. Ogden expanded on this and described type 7 fractures which are completely intraepiphyseal and include propagation of the fracture from the articular surface through the epiphyseal cartilage and do not involve the physis. These injuries are common about the distal fibula in pediatric patients with supination-inversion type injuries. There are no specific guidelines or recommendations on treatment of these injuries in the literature. We present three cases of this injury pattern and describe our chosen management that leads each patient to full, painless ankle range of motion and return to all prior activities and sports without complication. Supination-inversion type pediatric ankle fractures are common injuries that all orthopaedic surgeons will encounter at some point throughout their practice or training. Recognizing fracture variants and understanding treatment options of pediatric ankle fractures are important for the orthopaedic community as a whole.
Сочувствие к себе в контексте суицидальных тенденций: нормативные показатели «Шкалы сочувствия к себе» К. Нефф
Authors: Колачев Никита , Чистопольская Ксения , Ениколопов Сергей , Николаев Евгений , Дровосеков Сергей
Published: April 2024

Статья посвящена проверке психометрических характеристик русскоязычной версии методики «Шкала сочувствия к себе» К. Нефф. Кроме того, была поставлена задача – установить нормативные показатели для данной шкалы с точки зрения суицидального риска. Нормативная выборка состояла из 490 студентов вузов, клиническая выборка – из 146 пациентов кризисного стационара, у которых наблюдались суицидальные мысли. Для проверки структуры опросника и установления пороговых значений применялась модель современной теории тестирования для рейтинговых шкал. Было показано, что «Шкалу сочувствия к себе» целесообразнее использовать и интерпретировать по шести субшкалам и двум факторам: «позитивного» и «требовательного» самоотношения. Это инструмент, дающий надежные и валидные результаты, а нормативные показатели позволяют использовать шкалу для выявления суицидального риска у молодежи при скринингах и в клиническом сеттинге.
Особенности совместного внимания человека и антропоморфного робота
Authors: Столярова Анастасия
Published: April 2024

Цель статьи – сравнение процесса совместного внимания между двумя людьми и между человеком и антропоморфным роботом. В обзоре приведены различные подходы к определению понятия «совместное внимание». Описаны особенности протекания процесса совместного внимания между людьми («низкоуровневое» и «высокоуровневое»), реагирование и инициирование как его формы. Выделены четыре модульных компонента совместного внимания по Барон-Кохен: детектор намерений, детектор направления взгляда, механизм общего внимания, модель психического – и три основных модели совместного внимания людей: универсальная когнитивная, социально-когнитивная модель и модель множественных процессов. Представлены идея о различиях между социально-познавательными процессами от второго и третьего лица Гомеза, Хобсона и Редди и её дальнейшее развитие Сипосовой и Карпентер, которые выделили четыре уровня социального внимания: мониторинг, общий уровень, взаимный и совместный. Выявлены основные направления исследования совместного внимания между людьми. Установлены основные преимущества применения роботов: антропоморфность, способность роботов работать автономно и осуществлять как вербальное, так и невербальное общение, привлекать и удерживать внимание; способность как реагировать на совместное внимание, так и инициировать его; возможность объективной интерпретация стимулов. Выявлены основные недостатки антропоморфных роботов, не позволяющие им быть полноценными соагентами с человеком: шумность, громоздкость и неповоротливость, отличия мимики и движений от человеческих, нехватка способностей к самостоятельному принятию решений. Позитивное и негативное влияние специфических характеристик роботов связано с тем, что на современном этапе развития они с легкостью реализуют восходящий механизм совместного внимания, но испытывают значительное затруднение с нисходящим уровнем.
BURÇ, CONTA VE RULMAN UYGULAMALARI İÇİN SAF POLİ-TETRA-FLOR-ETİLEN VE BRONZ TAKVİYELİ POLİ-TETRA-FLOR-ETİLEN KOMPOZİTİN TRİBOLOJİK PERFORMANSLARININ KARŞILAŞTIRILMASI
Authors: Maslavi Ahmet , Ünal Hüseyin , Yetgin Salih Hakan
Published: April 2024

Bu çalışmada, endüstrinin çeşitli sektörlerinde makinelerde sıkça kullanılan hidrolik piston contaları, salmastra ve keçeler gibi polimerlerden üretilen malzemelerin tribolojik performansları incelenmiştir. Tribolojik çalışmada saf poli-tetra-flor-etilen (PTFE) polimeri ile ağırlık olarak %25 oranında bronz takviyeli poli-tetra-flor-etilen (PTFE/25bronz) kompozit kullanılmış ve her iki malzemenin tribolojik performansları karşılaştırılmıştır. Tribojik deneyler disk üzerinde pim olacak şekilde dizayn edilmiş aşınma cihazında gerçekleştirilmiştir. Tribolojik deneyler 30N-150N yük aralığında ve 1.0 m/s kayma hızında yapılmıştır. Deneylerde sürtünme katsayısı, aşınma hacmi, pim/disk yüzey sıcaklıkları ve spesifik aşınma oranı ölçülmüştür. Çalışma sonucunda PTFE/25 bronze kompozitin sürtünme katsayısı, pim/disk yüzey sıcaklığı ve aşınma oranı saf PTFE’ye daha düşük olduğu tespit edilmiştir. PTFE polimerine %25 bronz ilavesi kompozitin spesifik aşınma oranında önemli oranda azalmaya sebep olmuştur. Taramalı elektron mikroskobu ve optik mikroskop kullanılarak numunelerin aşınma yüzey mikroyapı incelemeleri gerçekleştirilmiştir. Saf PTFE polimerinde abrazif aşınma, PTFE/bronz kompozitinde ise adhezif aşınma mekanizması gözlenmiştir.
Influence of Financial Incentives Provided on Teachers’ Productivity
Authors:   apay.analene@gmail.com, rbareno045@gmail.com, cabillo.edna@gmail.com, jesszon.cano@bisu.edu.ph, kmicabalo@uc.edu.ph Department of Education – Cebu, Philippines Bohol Island State University – Candijay, Philippines University of Cebu – Lapu-lapu Mandaue, Philippines, L. Apay Analene , A. Bareño Reynaldo , A. Cabillo Edna , B. Cano Jesszon , G. Micabalo Kingie
Published: April 2024

The Government of the Philippines has remained faithful to its promise that education will be a top priority, and the Department of Education (DepEd) also ensures that the rights and welfare of teachers will be protected. This study sought to determine the influence of financial incentives on teachers’ productivity in Lapu-Lapu City. The study adopted the descriptive survey method, which used the survey questionnaire as the main instrument for gathering the data. The study’s respondents were the preschool, elementary, junior, and senior high school teachers of the Department of Education Lapu-Lapu City Division. The sampling technique used for this research was stratified and convenience sampling. A total sample of five hundred ninety-six (596) teachers were selected from a total population of two thousand nine hundred seventy-eight (2,978). The survey tool had undergone content validation. For data analysis, frequency percentage and weighted mean were applied. For the performance-based bonus, 8 out of 10 statements were highly agreed upon by the respondents, while the remaining two were moderately agreed upon. Performance-based- bonuses were effective across all demographics. The majority of teachers highly decided in terms of mid-year bonuses that would affect their performance and help them grow professionally. Overall, the concept of the mid-year bonus was considered adequate across demographics. Deloading of subjects was the most effective motivator across all teacher demographics, as teachers responded to it as highly agreeable. Keywords: Education, teachers’ productivity, financial incentives, descriptive-quantitative, Lapu-Lapu, Cebu, Philippines
Spatial Analysis of Internally Displaced Persons’ Camps in Borno State, Nigeria
Authors: Nzelibe Tobenna Nnaemeka , Oyinloye Michael Ajide , Popoola Olusola Olalekan , Ilesanmi Felix Aromo
Published: April 2024

The situation in Borno State, Nigeria has been exacerbated by the ongoing insurgency led by Boko Haram in northeast Nigeria, leading to widespread displacement and the establishment of Internally Displaced Persons (IDP) camps. This study aims to identify the locations of IDP camps in Borno State and analyze their spatial distribution, density, and clustering patterns. Furthermore, it seeks to investigate the geospatial implications of these patterns. To achieve this, the study employs geospatial analysis techniques such as Kernel Density Estimation, Cluster and Outlier Analysis, Nearest Neighbour Analysis, and Spatial Autocorrelation Analysis. The data collected for this study includes location coordinates, satellite imagery, demographic information, and administrative maps. The findings reveal that the distribution of IDP camps in Borno State is non-random and demonstrates varying camp densities across senatorial districts, with predominant high-high clusters and a deliberate, non-random arrangement. These results align with spatial analysis theories, emphasizing the importance of recognizing hidden inequalities in IDP camps and informing targeted interventions and resource planning for a more effective and equitable humanitarian response in Borno State. The implications extend to policy planning and enhanced vulnerability assessment for effective humanitarian responses, stressing the need for tailored interventions based on identified hotspots that address root causes and implement both immediate and long-term solutions. Future research directions could involve more in-depth investigations into the influencing factors, socio-economic impacts, and temporal dynamics of spatial patterns in displacement.
Images of locally nilpotent derivations acting on ideals of polynomial algebras
Authors: Liu Dayan , Sun Xiaosong , Zeng Xiaolei
Published: April 2024

Let $k$ be a field of characteristic zero, and $k^{[n]}:=k[x_1,x_2,\ldots,x_n]$ the polynomial algebra in $n$ variables over $k$. The LND conjecture asserts that the image of a locally nilpotent derivation of $k^{[n]}$ acting on an ideal of $k^{[n]}$ is a Mathieu--Zhao subspace. This conjecture is still open for any $n\geq 2$, which arose from the Jacobian conjecture. In this paper, we show that the LND conjecture holds in dimension $n=2$ for principal ideals and some other classes of ideals.
A note on the exterior centralizers and the probability of commuting pairs
Authors: Rodrigues Bernardo G. , Russo Francesco G.
Published: April 2024

We show two structural results for the subclass of $FC^\wedge$-groups, belonging to the well-known class of groups with finite conjugacy classes (i.e., $FC$-groups). We focus on linear $FC^\wedge$-groups and on the notion of exterior centralizer in the nonabelian exterior square of groups. Final comments show the relevance of $FC^\wedge$-groups and $FC$-groups in the theory of commuting probabilities of topological groups.
On a conjecture concerning the minimal index of pure quartic fields
Authors: Arn\'{o}czki T\'{\i}mea , Nyul G\'{a}bor
Published: April 2024

Monogeneous pure quartic fields $\mathbb{Q}(\sqrt[4]{m})$ are not completely described, not even if $m$ is square-free. I. Ga\'al and L. Remete [7] formulated a conjecture stating that there are only two monogeneous pure quartic fields with square-free $m$ satisfying $m\equiv 9\pmod{16}$. We disprove it by showing the existence of infinitely many monogeneous fields of this type if the $abc$ conjecture is true. In this paper, we study the minimal index of pure quartic fields and find all elements with minimal index in totally complex pure quartic fields having a square-free parameter $m$.
Study of Consumer Behaviour Towards Reliance Jio
Authors:   Galgotias University Greater Noida – 201310, U.P, SINGH ABHISHEK
Published: April 2024

The main objective of this project is to study the awareness of Reliance Jio amongst the customers compared to other telecom service providers. The satisfaction of customers is very important and with various products and services offered by the company its customers seem to be meaningless if it‟s not beneficiary to the customer from their end, so the second objective of this research is to study the customer satisfaction level of customers towards Reliance Jio and its services. To achieve success in long run a company needs a thorough study of its SWOT analysis (Strength, Weakness, Opportunities, and Threats). So the third objective of this research is to find the market potential and market penetration of Reliance Jio products and services. Reliance JioInfocomm Limited (Commonly called RJIL) is an Indian Internet access (commonly called „Broadband‟) and telecommunications company headquartered in Mumbai India‟s largest private sector company, is the first telecom operator to hold pan India Unified License. Reliance Jio is setting up a pan India telecom infrastructure to provide fourth generation LTE TDD high speed wireless internet and mobile communication services which was then launched in June 2015. Reliance Jio was founded in 2010 by MukeshAmbani. Reliance Jio offers mobile telephony and wireless broadband. Parent company of Reliance Jio is Reliance Industries and its subsidiary is LYF. To study the objectives discussed two types of sources were used to collect the data: - Primary and Secondary data. Primary data is also called as „First-hand data‟ or „Raw data‟. The primary data primarily means the unfiltered raw data collected by the researcher in the research process. In this project for the primary data a sample of 40 people were surveyed.
YOUTUBE COMMENTS SCRAPING AND SENTIMENT ANALYSIS
Authors:   Department of Computer Science and Engineering        Rajiv Gandhi Institute of Technology  Bangalore-560032, Karnataka, S Mrs. Divyashree
Published: April 2024

The Social Media Sentiment Analysis web application is a powerful tool designed for content creators on various social media platforms, including YouTube. This application provides an intuitive interface for extracting and analyzing comments from YouTube videos, enabling content creators to gain valuable insights into the sentiment expressed by their viewers. By entering the YouTube video URL and an email address, users can harness the capabilities of this application to gain a comprehensive understanding of how their audience perceives their content. Leveraging the YouTube Data API, the application efficiently retrieves comments from the specified video. The application generates three files: comprehensive comments, positive comments, and negative comments, which are sent via email as Excel files. An interactive HTML table showcases sentiment distribution. This user-friendly application empowers content creators to track and enhance audience engagement on social media platforms, such as YouTube, through data-driven decision-making. Key Words: Social Media Sentimet Analysis , web application ,Youtube , analyzing comments , sentiment expressed , positive comments , negative comments
Empowering Women Through Education:- A CASE STUDY OF BIHAR
Authors:   Empowering Women Through Education:- A CASE STUDY OF BIHAR Aakanksha (UG Student), Department Of Political Science ,  Galgotias university, S Aakanksha
Published: April 2024

One of the main pillars of society development is the Empowerment of women via education, yet in Bihar, India, there are still inequalities that prevent women from realizing this basic right. This abstract summarizes a study project that aims to Analyze the complex environment of women's empowerment via education in Bihar and to identify important obstacles, opportunities, and routes to revolutionary change. The study uses a mixed-methods approach, combining qualitative interviews and quantitative surveys to fully capture the subtleties of women's educational empowerment. to present a comprehensive picture of the current situation, the study evaluates access, quality, retention, and public attitudes regarding women's education. Assessing Enrollment rates across demographic groups, identifying obstacles to education, evaluating educational quality, investigating the socioeconomic effects of educational empowerment, and evaluating the function of how stakeholders may support education that is inclusive of all genders. Anticipated results comprise of implementable suggestions for policy modifications, interventions, and community campaigns targeted at promoting gender parity in education. In the end, this study aims to spark revolutionary change by imagining a time when women in Bihar would be able to realize their full potential via education, opening the door to a society that is more inclusive and egalitarian. Keywords:- Women , Empowerment , Gender , Education
Mental Health Assistant using Sentiment Analysis through NLP
Authors:   Student, Information Technology, Vidyalankar Institute of Technolgy, Talele Sakshi
Published: April 2024

Given the increasing prevalence of mental health problems and social disruption, quality mental health services are an important issue in today's society. This paper provides a comprehensive understanding of the mental health assistant application proposed. By combining insights from psychology, healthcare, and technology, we identify problems arising from existing systems, including barriers to access, limited affordability, and disparities in supply. The system is an Android platform that allows people seeking mental health care to record and use features such as self-diagnosis, taking mental health tests for various conditions such as Depression, Bipolar Disorder, OCD and Anxiety, analyzing their daily mood , and sharing one-on-one conversations with mental health professionals. This research contributes by providing opportunities for improving mental health services in the future. Key Words: Mental Health, Android, Personality Tests, One-on-one Conversation
PROTOTYPING OF A TWO WHEELER CLUTCH HUB USING REVERSE ENGINEERING TECHNOLOGY
Authors:   Assistant Professor, Department of Mechanical Engineering, GNITC, Hyderabad, Telangana.., Kumar Ch. Jeevan
Published: April 2024

A clutch hub is a critical component in a two wheeler manual transmission system, responsible for transferring rotational power from the engine to the transmission gears and providing a mechanism for disengaging the gears to allow for smooth gear changes. The clutch hub is placed between clutch basket and pressure plate. The clutch plates are mounted on it. It has teeth at center hole which rotate with main shaft. The prototyping of clutch hub using reverse engineering technique, making it essential to understand its design and functionality reverse engineering is employed to deconstruct an existing clutch hub, analyze its dimensions and materials, and create an accurate digital 3D model is created using computer aided design software, by scanning the part and prototyping of clutch hub is made by using 3D printing technology. Key Words: Clutch hub, Reverse engineering, 3D Model, Prototyping, 3D printing.
Deep Leaning for Malnutrition Detection: Implications for Global Health
Authors:   Department of Computer Science & Engineering  Chandigarh University, Mohali, Punjab, India, Er Pooja
Published: April 2024

Malnutrition continues to be a major global health concern, impacting millions of people from various demographic backgrounds. To lessen the grave health effects of malnutrition, early detection and focused intervention are essential. Conventional evaluation techniques, like physical examinations, body weight calculations, and blood testing, are frequently expensive, time-consuming, and unpredictable. This research describes a revolutionary machine learning strategy for successfully diagnosing malnutrition. Specifically, we leverage transfer learning approaches from pre-trained models and employ NumPy for linear algebra, pandas for data processing, and matplotlib for interactive graph plotting. Function approximation, prediction robustness, and classification accuracy are all improved by the ensemble framework. After processing the data set, our model divides it into four groups: normal, stunting, obesity, and wasting. The main goal is to accurately classify malnutrition so that customized therapies may be implemented for each group. By doing this, we hope to lower the risk of death, health issues, and physical disabilities brought on by malnutrition. In summary, our suggested approach marks a substantial development in the efficient identification of malnutrition and the provision of tailored care. Accurate classification is ensured with the incorporation of ensemble learning algorithms, opening the door for focused treatments to enhance patient outcomes. Keywords—Analysis, Machine learning, Ensemble learning, NumPy, Matplotlib, Seaborn, Malnutrition.
Object Recognition Application for Education using Transfer Learning
Authors:   Student, Information Technology, Vidyalankar Institute of Technology, Thakur Atharva
Published: April 2024

In today's technology-driven world, fostering a love of learning and nurturing curiosity in young minds is essential. This project introduces an object recognition application designed to enrich young learners' educational experiences. The app focuses on identifying fruits, vegetables, and flowers using the EfficientNetB0 model, known for its proficiency in image recognition. By leveraging transfer learning from the pre-trained ImageNet dataset, the application achieves high accuracy in recognizing these objects. Beyond identification, the app integrates interactive games such as guessing, matching, and memory games with identical object cards, providing engaging ways to develop vocabulary and cognitive skills. This research explores fine-tuning EfficientNetB0 for targeted tasks and designs an intuitive interface to support positive learning experiences, potentially impacting children's educational journeys. Key Words: Transfer Learning, education, games, application
Smart Trolley Using RFID & GSM
Authors:   Computer Engineering  Smt. Indira Gandhi College of Engineering, Bolke Omkar
Published: April 2024

A supermarket or a hypermarket is a form where wide variety of product items is available. Food, drinks, or any kind of domestic item might be included in this product category. Supermarkets' primary goals are to save customers time and ensure that all products are readily available. However, occasionally, customers become impatient while standing in line at the billing counter, and occasionally they become perplexed when comparing the total cost of all the products to their pre-billed budget. We have used Arduino to develop a smart trolley to solve these issues. The smart trolley system exists in the market, while our system has GSM technology which directly sends the shopping bill to your registered mobile number. Customers no longer have to wait in line to have their product items scanned for invoicing purposes thanks to this technology. If not, it functions just like a standard trolley. This tactic is used by hypermarkets and supermarkets as a way to draw in more consumers. In this project we are using Arduino uno r3 Board, lcd display and rf-id module. When the person wants any item must and should show the item to reader. RFID reader will read that number and compares that number in to the internal database and display the amount on to the lcd display. We can continuously add the item in to the trolley. Otherwise, if we are not interested any item we can show the same item to the reader. RFID reader will detect card and erase the item. lcd display will show the amount and item in trolley. Keywords: Radio Frequency Identification (RFID), Arduino, RFID reader and Supermarkets.