bluuebunny/crossref_metadata_2025 huggingface dataset:
Parasitic Approach to the Development of Modern Cosmetic Industry
Authors: Zhu Zhengrong , Skowronski Dariusz P.
Published: November 2024

Abstract: This is a literature review study focused on the connection between parasite stress and the development of the modern beauty industry. It is hypothesized that parasite stress may consequently result in contributing to females consumption of cosmetic products and plastic surgeries. The research begins with how natural selection theory, sexual selection theory, and parasite stress theory are contributing to the shaping of human mate preferences. Two types of consequences of parasitic infections are introduced: facial-benefitting and facial-disrupting. These two types of impact on female faces all result in increasing and reinforcing social comparison among females. The social comparison evolved throughout time contributing to mate selection and modern times manifestations in the cosmetic industry. It is suggested that future research in this field can explore the connection between parasite stress and differences in self-esteem between males and females.
Literature Review on Second Language Acquisition: Looking at the Impact of Bilingual Education at Different Times on Intercultural Competence
Authors: Guo Jiahong
Published: November 2024

Abstract: With the prevalence of globalization, more and more parents are caught in a state of anxiety they want to give their children a bilingual education as early and as well as possible so that in the future they can send their children to study abroad. Hence comes the existence of bilingual schools. However, parents are increasingly choosing bilingual kindergartens because they believe they will enhance their children's linguistic and intercultural competence. This literature review aims to illustrate the distinct impacts of attending a bilingual kindergarten versus a bilingual high school on students' intercultural competence, enlightening readers about the distinctions between the two, and highlighting the importance of early enrollment in a bilingual education system. This article concludes that bilingual kindergartens could subtly let students learn the language and its culture, and bilingual high schools would focus more on the practical way of learning a language but less on the cultural aspects. They both have their advantages and promote intercultural competence in different ways.
Chinese Audiences' Perceptions of Social Reality in the Comedy Film Successor
Authors: Gu Quan
Published: November 2024

Abstract: Comedy films continue to thrive in Chinas film market, and the genre is breaking out of its original form with innovative reforms. In addition, the market for realistic films is further expanding in China. The film Successor, which was released in mainland China this summer, became a hot topic during its release. This paper examines Chinese audiences reactions to social realities reflected in Successor through the survey. The audience is the most important factor in determining the success of a film, so it is extremely important to pay attention to the audiences comments and reactions to a film. Comedy films are the audiences favorite genre and realism is a popular theme at the moment, combining the two produces a surprising effect. Social media is an important channel for film distributors to promote their films, but some issues are discussed more negatively on the internet. The film, as a relatively pure vehicle, can better reflect the real situation.
A Review on Psychological Factors of Eating Disorders
Authors: Ren Menghan
Published: November 2024

Abstract: Eating disorders (ED) are a common mental health problem that affect people all over the world and can have serious repercussions. It is essential to comprehend the psychological components of these disorders to effectively prevent and treat them. Finding the important factors can help develop individualised treatment plans, which will eventually lead to better mental health outcomes and the promotion of healthier eating habits. This study examines the psychological factors (PF) that influence ED and their effects on individual eating behavior and mental health. The article begins with an introduction to key psychological variables, including self-esteem (SE), perfectionism, anxiety, depression, and body image, emphasizing their importance in the development of ED. These psychological variables are categorized into emotional factors, cognitive factors, and behavioral factors, and the article analyzes how these elements affect individual eating habits and attitudes. Further empirical studies indicate that low SE and perfectionism are significantly correlated with ED, illustrating that women with low SE are more likely to develop unhealthy eating patterns. Additionally, anxiety and depression have notable effects on eating behavior, potentially leading to the onset of ED. Finally, the article outlines several treatment approaches for ED, including cognitive behavioral therapy, family therapy, and medication, discussing their effectiveness and limitations across different individual cases. Overall, a deeper understanding of these psychological variables will help develop more effective intervention strategies to support individuals with ED, promoting improved mental health and healthier eating behaviors.
Psychodrama: Mechanisms, Applications, and Future Prospects in Treating Depression
Authors: Wang Boqian
Published: November 2024

Abstract: Being an alternative to commonly applied treatments for depression, psychodramas significance and values as a type of creative therapy are often underestimated by contemporary researchers and mental health professionals; in turn, psychodrama has been less investigated and developed over the past century. Aiming to address the gap, this paper conducted a literature review on the key mechanisms, current applications, and future prospects of psychodrama in treating depression. The research has concluded that both individual and group psychodrama are effective in treating depression either by itself or integrated with antidepressants or cognitive behavioral therapy. For psychodrama to be applied to a wider population, further development of this approach can focus on adjusting its features to host traditional psychodrama frameworks via online platforms; it is also suggested to integrate themes stemmed from positive psychology with the form of psychodrama in order to benefit the healthy population with a psychopathology-oriented approach as well.
Negative and Positive Emotions of Individuals Worldwide During COVID-19
Authors: Wang Xiya
Published: November 2024

Abstract: The mental health of individuals has received widespread attention during the COVID-19 pandemic. However, there is still a lack of unified explanations for the emotional responses of different countries and regions during the pandemic. Therefore, this study analyzed the changes in negative and positive emotions among people from different countries during the epidemic from a cross-cultural perspective. This study found that people experienced higher levels of anxiety, depression and loneliness during the quarantine period than before the pandemic. Studies reveal that the imposition of quarantine restrictions has made mental health issues worse by restricting social interactions and elevating emotions of despair and dissatisfaction. Despite the increase in negative emotions, the study also found that people during the epidemic promoted positive emotions in a number of ways. Prior studies suggest that engaging in prosocial behaviorssuch as helping otherscan enhance individuals' emotional well-being. Moreover, physical activity (PA) and mindfulness meditation have been identified as effective strategies for mitigating NE and fostering PE.This study explores the situation of individual emotional responses globally and provides theoretical support for the management of future public health crises.
Analyzing Tinder's "It Starts with a Swipe" Campaign
Authors: Wang Xinyao , Cao Xinyao , Yu Jingrui
Published: November 2024

Abstract: Designed specifically for the Generation Z audience, Tinder's 2024 campaign showcases a remarkable brand transformation. It is transitioning from being merely a casual encounter network to becoming a significant maker of meaningful relationships. This report thoroughly examines how the campaign ingeniously leveraged romantic comedy tropes and captivating user-centric stories to deeply connect with this highly relationship-focused demographic. By integrating user-generated content, infusing humor, and presenting relatable scenarios, Tinder aspires to forge an emotional bond with its users and establish a strong sense of credibility. Through integrated marketing communications, it effectively employs social media platforms and engaging videos to firmly reinforce its powerful message of brand repositioning. Nevertheless, there is room for improvement. For instance, it could be enhanced by highlighting a broader range of relationships, encompassing diverse forms of connections beyond the traditional. Additionally, embedding more interactive features would enable deeper engagement with users. As a result of this comprehensive analysis, although Tinder has made substantial progress in enhancing its brand image, it still needs to implement some further adjustments to remain relevant and appealing in today's rapidly evolving digital landscape. Only by continuously evolving and adapting can Tinder truly thrive and meet the ever-changing expectations of its users.
A Conversation Analysis of Dialogues in Young Sheldon from the Perspective of Politeness Principle
Authors: Sui Sixuan
Published: November 2024

Abstract: The Politeness Principle plays a vital role in daily communication and is a guarantee of successful communication activities. Young Sheldon, an American series premiered in 2017, focuses on the life of Sheldons family, which contains a large number of conversations that against the Politeness Principle. In this paper, I study the conversations in Young Sheldon, count all the dialogues that against the Politeness Principle, and analyze the conversational implicature and effects of pragmatics. Results show that the violation of Approbation Maxim and Tact Maxim has the highest frequency in all dialogues, while the violation of Generosity Maxim the fewest occurrences. The analysis indicates that the dialogues that against the Politeness Principle show the characters selfishness and indifference, and have the discourse effect of reflecting humor and hindering the development of relationship, which helps people understand the characters and the plots better and improve their communication skills.
The Dual Construction of Symbolic Imagery and Double-voiced Discourse: The Hierarchical Order in A Rose for Emily
Authors: Sun Wenxin
Published: November 2024

Abstract: Social structure and hierarchical order, as the key issues throughout human history, continue to stimulate the academic community to deeply explore the relationship between social form and individual destiny. With its unique artistic perspective, William Faulkner's masterpiece, A Rose for Emily, vividly shows the social landscape of a specific historical period, which has aroused a wide range of academic discussions. This paper focuses on the subtle symbolism in the novel, and at the same time takes the narrative strategy of two-voice discourse as a clue to deeply analyze how the two work together to construct a complex and profound social hierarchy order framework in A Rose for Emily. This analysis not only highlights the diversity and innovation of novel techniques but also reveals the intricate correspondence between them and the background of social reality at that time, providing a new perspective and insight for understanding how literature reflects society and criticizes reality.
The Effect of Chinese Stand-up Comedy Shows on the Formation of Z Generations Own Narration of Reality
Authors: Zhu Haoran
Published: November 2024

Abstract: The stand-up comedy shows recently thrived in China both out of the development of the internet and the following accessibility brought to it and also the risen interest of the youth population in this genres ability of providing comments on things. The generation Z, often described as being abandoned, is especially in favor of this kind of entertainment and shows strong resonance with it. Recently, more and more Z generation comedians are speaking from the perspective of the Z generation in the show. This research investigates the relationship between Chinese stand-up comedy shows and the formation of the social narrative of the Z generation. The methods that this paper mainly uses are literature review in the process of finding a theoretical base for the problem and case analysis on the shows of a stand-up comedian when comes to the analysis part. The findings of this research indicate that Chinese stand-up comedy contributes to the shaping of Generation Zs social narratives by providing a narrative structure that addresses the challenges faced by young people, by constructing storylines and causal relationships between the dissonance of labor and employment, and by affirming a value system that prioritizes secure employment and the enhancement of living standards.
The Impact of User Experience and Emotional Response on the Purchase Behavior of Chinese Consumers Within the Context of the She-economy
Authors: Xu Ai
Published: November 2024

Abstract: With the rise of the "She -economy," female consumers' attention to and willingness to purchase national products are increasing. This paper focuses on the female consumer group, exploring their user experience and emotional responses during the process of purchasing national products, and how these factors affect their willingness to buy national products. The paper collects relevant data through a questionnaire survey and uses SPSS 27.0 for statistical analysis of the data. The results show that female user experience and female emotional response have a significant positive effect on purchase intention, with female emotional responses playing an important mediating role. This paper enriches the research content of the "She-economy" theory and provides new insights for understanding female consumer behavior. At the same time, the research results have practical significance for both enterprises and female consumers.
A Sturdy Shield: Enhancing 6G Fronthaul with Quantum-Security
Authors: Yang Mingxuan
Published: November 2024

With the emergence of smart devices and the Internet of Things (IoT), 5G has been developed to meet the growing demand for transmission speeds and bandwidth. 5G overcomes the limitations of previous generations of technology, offering significant improvements in speed, latency, and stability. However, with the advancement of computational capabilities and the advent of quantum computers, security issues have become a pressing concern. Current technologies in 5G fronthaul rely on intrinsic security technologies, which are difficult to defend against quantum computer-based attacks. Consequently, this paper proposes a future mobile fronthaul architecture, such as 6G, which builds upon the 5G fronthaul network architecture while introducing quantum communication based on the BB84 protocol. This architecture enhances privacy protection and improves resistance to eavesdropping while maintaining the original performance. Additionally, the paper models the architecture to explore its noise resistance, using forward and backward spontaneous Raman scattering power as indicators, and demonstrates the system's feasibility under the influence of high-power 6G signals. The potential applications of this architecture are also examined. The results indicate that the quantum-secure 6G fronthaul network represents a significant breakthrough. It not only meets the stringent security requirements of modern communication but also enables a wide range of applications, paving the way for a safer and more interconnected digital future.
Harmonizing human-computer interaction: Exploring evolution and integration in media and computing
Authors: Wu Bingru , Xu Huixuan
Published: November 2024

Abstract. This paper delves into the intricate relationship between Human-Computer Interaction (HCI), media, and computing, examining its historical evolution and contemporary challenges. From the rudimentary interfaces of the 1970s to the immersive digital experiences of the present day, HCI has undergone a profound transformation, driven by advancements in technology and changing user expectations. The convergence of media and computing technologies has blurred traditional boundaries, reshaping user interactions and opening new frontiers for research and innovation. Through quantitative analysis and mathematical modeling, researchers gain insights into user behavior, preferences, and interactions, informing the design of more intuitive and engaging interactive systems. However, this integration also poses challenges related to cross-platform compatibility, ethical considerations, and accessibility. By embracing user-centered design principles, ethical stewardship, and technological innovation, HCI researchers and practitioners can navigate these challenges and shape the future of HCI-Media-Computing integration.
Leveraging GIS for sustainable tourism development: A comprehensive spatial approach
Authors: Xing Wei
Published: November 2024

Abstract. This paper explores the application of Geographic Information Systems (GIS) as a pivotal tool in the spatial analysis and sustainable development of tourism. By mapping tourism resources, analyzing visitor flows, and planning for accessibility and infrastructure, GIS enables a nuanced understanding and management of tourism's spatial dynamics. We delve into the innovative use of GIS for personalized itinerary planning, augmented reality experiences, safety, risk management, environmental impact assessments, resource management, conservation, stakeholder engagement, and community planning. Through a series of methodical processes, GIS facilitates the visualization of natural and cultural attractions, optimizes visitor experiences, and ensures the sustainability of tourism development. The integration of spatial data with advanced analytical tools supports the creation of dynamic, inclusive, and environmentally responsible tourism strategies. This paper highlights the critical role of GIS in shaping future tourism practices, underlining the importance of spatial analysis in fostering a balanced approach to tourism that benefits local communities, preserves cultural heritage, and minimizes ecological footprints.
Potential Safety Issues and Moral Hazard Posed by Artificial General Intelligence
Authors: Feng Boqian
Published: November 2024

Abstract. Artificial Intelligence (AI), a technology with a wide range of intelligence capabilities, has developed rapidly in recent years, bringing significant convenience and efficiency to society. However, most of the current artificial intelligence technologies belong to narrow artificial intelligence. Unlike Narrow AI, Artificial General Intelligence (AGI) possesses a more comprehensive understanding and problem-solving capability. AGI can learn in an unsupervised manner. General artificial intelligence can not only stand out in specific fields. It can also make effective decisions to a certain extent and operate in a wide range of environments. However, rapid progress has also raised widespread concerns about its potential risks. Therefore, the development of artificial intelligence requires standardization, which is urgent to ensure that it can make decisions that benefit humanity. Based on existing literature and data results, this paper explores the security issues and moral risks that general artificial intelligence may bring to humans. The research results indicate that these risks include user privacy breaches, system security issues, and social ethical conflicts. Dealing with these risks requires the joint efforts of all practitioners. This includes developing AGI in an ethical manner and ensuring that AI does not engage in activities that violate human interests.
CNN-Based Cancer Image Diagnosis: Current Progress and Future Directions
Authors: Li Xiaoan
Published: November 2024

Abstract. With the development of deep learning technology, CNN (Convolutional Neural Network) models have shown great value in medical image analysis, especially in diagnosing early lung cancer, breast cancer, and brain tumors. In this study, we recall and organize the application and progress of CNN models in the field of cancer and tumor diagnosis in the past five years to provide a theoretical basis and reference for related researchers. This article introduces the principles of different CNN cancer diagnostic models and compares and analyzes their results, and ultimately finds that these models have significant advantages in improving the accuracy and efficiency of cancer diagnosis, but at the same time, there are also problems such as too much reliance on large datasets, high model complexity, and poor generalization ability. In the future, we can consider optimizing the performance of CNN network models, enhancing the generalization ability of the models, and developing data enhancement techniques on this basis, so that CNN models can be better applied in the field of cancer diagnosis.
Imagine Denoising Methods Based on GANs
Authors: Li Zhenqi
Published: November 2024

Abstract. With the continuous development of technology, peoples demand for image clarity is also constantly increasing. Whether in the fields of medical imaging, aerospace, or people's daily lives, noise in images seriously affects their clarity. Therefore, how to remove noise on the premise of preserving image details has now become a hot research topic. In the domain of image denoising, both early spatial domain filtering methods and recently proposed convolutional neural network models have certain limitations. Compared to other denoising methods, GANs can better remove noise from images and improve image quality. Therefore, this article summarizes and organizes image denoising methods based on GAN models. This article explains four GAN based image denoising methods, namely GAN, WGAN, DNGAN, and GCBD, from the perspectives of framework structure, advantages and disadvantages, and application fields. At the same time, this article also analyzes the development trend of GAN application in image denoising and makes prospects.
Improve Transmission Fault Tolerance and Speed for Distributed Machine Learning
Authors: Zhao Yanqing
Published: November 2024

Abstract. As a matter of fact, with the advent of the big data era, traditional stand-alone machine learning methods are facing computational as well as storage bottlenecks. On this basis, distributed machine learning has become a popular research direction. Withs this in mind, this research explores the basic principles of distributed machine learning and its application on large-scale datasets. According to the analysis, it is shown that the use of distributed architecture can effectively shorten the model training time and improve the scalability of the system. By comparing different distributed algorithms, it is found that the architecture based on parameter servers has obvious advantages in dealing with heterogeneous data. In addition, the experimental results show that a reasonable data partitioning and parallel computing strategy can significantly improve the training efficiency and the final performance of the model at the same time. The significance of this study is that it provides a theoretical foundation and practical guidance for distributed machine learning, which helps to promote its wide application in industry.
Comparative Analysis of Object Detection Models for Sheet Music Recognition: A Focus on YOLO and OMR Technologies
Authors: Zhu Juntong
Published: November 2024

Abstract. As Artificial Intelligence (AI) technologies are developing rapidly and are widely used in various domains, it is efficient and convenient for composers to make music using AI to convert sheet music to audio. This research aims to compare the performance of different models in identifying individual notes within sheet music. Compared to traditional technologies like Optical Music Recognition (OMR), deep learning models have a significant advantage in processing blurry images with high efficiency. In the research process, three different models are used in searching for musical notes: OMR, You Only Look Once (YOLO)v5, and YOLOv8. The evaluation index consists of recognition accuracy, mean Average Precision (mAP), inference speed, and parameter quantity. After the experiment, it is found that the YOLO model performs best with high accuracy and fast speed. Based on the above analyses, the thesis finds that the YOLO model can be an efficient tool in composing music, with further research.
Optimization of Heat Reflective Triple Glazing Thickness Using the Artificial Fish Swarm Algorithm
Authors: Huang Jiayuan , Liu Jiaheng , Shen Hanting
Published: November 2024

Abstract. The significance of this research lies in its potential to improve energy efficiency in buildings, particularly in regions prone to high temperatures. By optimizing the thermal performance of heat-reflective glass, buildings can achieve better temperature regulation, leading to reduced dependency on air conditioning systems and lower energy costs. This research specifically targets the optimization of glass thickness, a critical factor influencing the overall effectiveness of heat-reflective glazing. The focus is on minimizing the transmitted light intensity for sunlight within the wavelength range of 300 to 2000 nm, which is vertically incident on the glass. The optimized glass thickness aims to maximize the thermal reflective properties while ensuring adequate natural light within indoor spaces. This study employs the Artificial Fish Swarm Algorithm to explore the optimal thickness of heat-reflective triple glazing. The effectiveness of this optimization method is assessed by comparing its results with experimental findings obtained through a systematic traversal of glazing thicknesses. The results highlight the potential of the Artificial Fish Swarm Algorithm to significantly enhance the thermal performance of heat-reflective glass, offering a practical solution for energy-efficient building design in hot climates.
Design of a Gomoku AI Based on the Alpha-Beta Pruning Search Algorithm
Authors: Xu Yiheng
Published: November 2024

Abstract. This paper presents the implementation of a Gomoku AI based on the alpha-beta pruning search algorithm and the Negamax algorithm. Gomoku, a traditional board game known for its strategic depth, poses significant challenges in AI development due to the exponential increase in possible moves. The AI leverages the computational efficiency of Alpha-Beta Pruning, which enhances the Negamax algorithm by reducing the number of nodes that need to be evaluated in the game tree. This combination allows for faster decision-making without compromising accuracy. Additionally, a value evaluation function is used to assess board states and guide the AI in selecting optimal moves. In the results the performance of the AI was tested through simulations, demonstrating great performance in move selection and computational efficiency compared to traditional methods. The paper also explores potential improvements, including the integration of reinforcement learning (RL) techniques to further enhance the AI's adaptability and strategic decision-making capabilities.
Optimizing Anti-Ultraviolet Transmission in Multilayer Glass Using Particle Swarm Optimization
Authors: Ling Yicheng
Published: November 2024

Abstract. This paper introduces an innovative three-layer window glass design optimized using particle swarm optimization (PSO) to achieve reduced ultraviolet (UV) transmission, particularly targeting the 300400 nm wavelength range. PSO, recognized for its capability to handle nonlinear optimization problems effectively, was applied to determine the optimal thickness of each glass layer, aiming to minimize UV transmission as quantified by a fitness function based on the total transmitted energy. The outcomes highlight significant enhancements in UV shielding capabilities of the optimized glass structure over traditional designs. This study not only underscores the efficacy of PSO in refining material properties but also positions it as a valuable tool for advancing green building technologies and energy-efficient solutions. By reducing UV transmission, the optimized glass contributes to better indoor environmental quality and health protection, presenting new possibilities for the application of multi-layer glass in various sectors. These results advocate for broader application and further validation of PSO in material optimization, paving the way for innovations in architectural and environmental design.
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Published: November 2024

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Digital Media Intervenes in an Immersive Exhibition in Interactive ScenesMode of Perception and Interaction in the New Era
Authors: Li Zejia
Published: November 2024

Abstract: This paper will discuss how the combination of digital media and immersive art exhibition can bring new interaction and participation experience to the audience under the reform of art media, as well as the significance of this combination in artistic expression, exhibition design and audience perception.Using a case study of teamLab in Japan. This paper evaluates the immersive exhibition of digital media intervention from four aspects: transformation, integration, cases, and reflection. It is found that while the emergence of digital media technology provides a new way of display and creative means for art exhibitions, there is also a certain contradiction between artistry and technicality in such exhibitions. It is necessary to balance the relationship between art and technology in order to achieve mutual promotion and common development of the two.
Current Concepts of the Management of Painful Traumatic Peripheral Nerve Neuromas
Authors: Lee Ellen Y. , Sammarco Mimi C. , Spinner Robert J. , Shin Alexander Y.
Published: November 2024

Painful neuromas are a complex clinical condition that results in notable disability and functional impairment after injury to a peripheral nerve. When regenerating axons lack a distal target, they form a stump neuroma. Up to 60% of neuromas are painful because of mechanical sensitivity and crosstalk between nerve fibers. Clinical evaluation includes a thorough history and physical examination followed by directed diagnostic imaging and procedures to assess pain generators and their effect on quality of life. Nonsurgical management options may include pharmacological interventions, desensitization strategies, injections, and therapies to reduce pain perception and improve function. Surgical interventions, such as nerve reconstruction by direct repair or grafting, redirection to alternative targets, and containment of regenerating axons by relocation into innervated tissues or in grafts, are considered when conservative measures fail. A comprehensive and individualized treatment plan is crucial for optimizing patient outcomes with painful neuromas. The plan should consider the underlying pathology, pain generators, and psychosocial factors contributing to the patient's pain.
A Comprehensive Analysis of the Factors Influencing Absenteeism among Medical Students at the University of Zawia, Libya
Authors: Zinab Elfituri  , Bushra Gamoudi  , Adel Kerfa  , Shahrazad Gazeti  , Rodaba Bitrou  , Hana Alazraq  , Huria Dardar  , Rajaa Alshwesh  , Husam Alganga  , Abdalhalim Suaiee  , Ali Alahrash  , Suliman Essa  , Reemah Almadah
Published: November 2024

Attendance of undergraduate medical students is crucial for their medical education, but absenteeism is a growing problem globally due to academic and personal challenges. This study at the University of Zawia surveyed 302 undergraduate medical students, primarily female, to understand the factors influencing their attendance. The study found that, external factors like traffic congestion and high costs of private transportation impacted attendance, while pedagogical factors like preferring home-based learning and dissatisfaction with teaching methods were significant. Social factors like peer influence were less influential, suggesting commitment to the field. Institutional factors like inadequate classroom resources, poor infrastructure, scheduling, and security were major concerns. The college's response to absenteeism was moderate, suggesting that institutional issues may be less critical. The study underscores the complex interplay of external, academic, and personal factors affecting student participation in medical education. Factors like traffic congestion, high costs of transportation, and inadequate infrastructure significantly hinder attendance, while dissatisfaction with traditional teaching methods and the belief that non-attendance does not affect grades are notable academic factors. Faculty-related issues, such as unclear explanations and ineffective teaching methods, greatly influence attendance decisions. Study recommendations include improving public transportation, updating teaching tools and classroom facilities, and enhancing teaching quality and engagement to address the complex interplay of factors affecting student attendance in medical education programs.
Development of a Multi-grade Flour Sieving Machine: It’s Performance and Financial Feasibility
Authors:   Department of Agriculture-Regional Field Office No.2, Southern Cagayan Research Center, Minanga Norte, Iguig, Cagayan, A. Madayag Bon Jovi , M. Alcaraz Joel , I. Agpaoa Ronald , T. Rodriguez Eddie , A. Nerona Norma ,   Agricultural and Biosystems Engineering Department, College of Engineering, Isabela State University, San Fabian, Echague, Isabela, Philippines
Published: November 2024

This study was conducted at the Engineering Shop of Southern Cagayan Research Center (SCRC) located at Minanga Norte, Iguig, Cagayan from March to April 2024. The design and fabrication of the flour sieving machine prototype were undertaken using local technology. The study generally aimed to develop and evaluate the performance of the multi-grade flour sieving machine using glutinous rice flour in terms of electrical energy consumption, sieving capacity, sieving efficiency, and weight of the sieved flour. A simple cost analysis was also done to determine the economic viability of the machine. The result of the study was analyzed using Analysis of Variance for a Completely Randomized Design for two factorial experiments with three replications. The treatments used were the different oscillating speeds (Factor A) and the inclination angle of the sieve (Factor B). Least Significant Differences (LSD) were used to determine differences between treatment means. The overall mean of the machine in terms of sieving capacity was 71.22 kg/h, sieving efficiency of 95.80 %, and electrical energy consumption of 0.046 kW-hr/kg. From a mean weight of 5.75kg, the composition of flour contains 2.51% coarse, 66.27% medium, 22.18% fine and 9.05% extra fine. All parameters used in the study were significantly influenced by Factor A. However, the result of LSD at 1% level of significance shows no difference to each other when considering Factor B alone. Likewise, the interaction of Factor A x B for both electrical energy consumption and sieving capacity was not significantly different. The equipment’s cost was Php 37,000.00, the break-even point was 6,437.42 kg /yr and the break-even usage was 11.30 days/yr. Keywords: Technology development, Locally fabricated sieving machine, Performance Testing, Flour grading, Philippines
The Predictive Roles of Hope and Social Support in Academic Stress
Authors:   Xavier University – Ateneo de Cagayan Cagayan de Oro City, Philippines, R. Wapaño Mary Rachelle
Published: November 2024

This study investigates the relationships among hope, academic stress, and social support in university students. It first assesses the levels of hope and academic stress and then explores their relationship. Additionally, the study examines how various forms of support—emotional, tangible, informational, and appraisal—affect academic stress and evaluates the predictive power of these factors. Employing a cross-sectional design, university students were selected through stratified random sampling. Measurement tools included the Adult Hope Scale, the Multidimensional Scale of Perceived Social Support, and the Depression Anxiety Stress Scale. Data analysis revealed that participants exhibited moderate levels of hope and social support while experiencing moderate academic stress. Pearson’s correlation and multiple regression analyses indicated negligible and statistically non-significant correlations between social support types and academic stress, with minimal impacts from emotional (r = -0.04, p = .154), tangible (r = 0.01, p = .325), informational (r = -0.02, p = .438), and appraisal support (r = 0.01, p = .476). The regression analysis showed that social support types explained only a small variance in academic stress (R² = .018, Adjusted R² = -.013), suggesting the influence of other critical factors in stress management. These findings highlight the situational nature of the relationships between hope, social support, and academic stress, underscoring the need for further research to identify effective strategies for supporting students during stressful periods. Keywords: Hope, Social Support, Academic Str
Coaches’ Practices on RPMS-PPST as Correlates of Teachers’performance and Morale: Bases for A Proposed E- Coaching Enhancement Program
Authors:   Department of Education Region IV-CALABARZON Division of Antipolo City Bagong Nayon II National High School, Philippines, F. Garcia Decie
Published: November 2024

The study aimed to determine and analyze the Coaches’ practices on the Results-Based Performance Management System for Philippine Professional Standards for Teachers and their correlation to teachers’ morale and performance in selected public schools in the Division of Antipolo and Rizal during the School year 2020-2021 bases for a proposed E-Coaching Enhancement Program. The demand for School Heads as educational leaders and coaches to demonstrate coaching supervision through a feedback mechanism is highly significant in the delivery of educational services. There were a total of 588 respondents, 40 School Heads, and 548 Teachers used in the study. The study utilized the quantitative research design to describe the study in detail. To determine the extent of school coaches’ practices and teachers’ morale as perceived by school heads and teachers, mean, and standard deviation were used. To determine the significant difference between coaches’ practices and teachers’ morals used by school managers, mean and standard deviation were used. To determine the significant difference on the perception of two-group respondents, an Independent Sample T-Test was utilized.To determine the significant correlation of Teachers’ performance rating to Teachers’ Morale and Coaches’ Practices correlation coefficient/Pearson r was used. It was found out that There is no significant difference between the perceptions of the two groups of respondents on the extent of RPMS-PPST Coaching practices and level of teachers‘ morale and there is no significant correlation between the extent of RPMS-PPST coaches‘ practices and the level of teachers‘ morale on the four processes of coaching and There is no significant correlation between the RPMS-PPST coaches‘ practices and the teachers‘ performance. Based on the findings, the following conclusions were drawn, a high extent of coaches‘ practices was manifested by the teachers and the coach respondents as regards the five domains of the RPMS-PPST and teachers‘ morale as regards the processes on the RPMS-PPST. Moreover, teachers performed their job very well and coaches‘ practices did not directly affect the teacher‘s performance. Keywords: Coaches, Results-Based Management System, Philippine Professional Standards for Teachers, Coaching Practices
ANÁLISE COMPARATIVA DA COMBUSTÃO DO ETANOL E COM ADIAÇÃO DE HIDROGÊNIO VERDE, PARA O MONITORAMENTO DA EMISSÃO DE CO2
Authors: Januario Jorge Luiz , Santos Aldo Ramos , Januario Patrícia Aparecida dos Santos , Nascimento Fernando Codelo
Published: November 2024

Nos últimos anos, vem sendo discutido de que forma a  sociedade precisa mudar os comportamentos, inclusive no consumo de combustíveis que contribui para a diminuição da poluição do meio ambiente, estando incluso nessas escolhas encontrar alternativas mais limpas para substituição de combustíveis fósseis nos motores de combustão interna tanto veículos leves, caminhões, aeronaves e motores de alto desempenho afim de atender as normas ABNT NBR ISO 14064-1 e 2, e à política de carbono zero, além de observar que essa meta também é uma das 17 diretrizes da ONU para 2030, na luta para redução dos gases de efeito estufa regulados pelo protocolo de Quioto. Nesse contexto, a pesquisa tem como objetivo geral: comparar a emissão de gases de efeito estufa na combustão do diesel em relação ao etanol puro e com a adição de hidrogênio produzido pela eletrolise.  Visando alcançar o objetivo geral do trabalho, os objetivos específicos focam em demonstrar o monitoramento da emissão de CO2 emitidos na combustão. O desenho metodológico da pesquisa representa um estudo de caso. Quanto a abordagem do problema e resolução deste, será empregada a análise quanti-qualitativa. Os dados foram retirados do monitoramento da combustão do motor estacionário VM210 e consumo de combustível e analise da emissão de CO2 na queima de C2H5OH e a emissão de CO2 após a injeção de H2 no coletor de admissão obtido através da eletrolise da H2O viabilizando um entendimento sobre os recursos utilizados para o alcance do objeto de estudo.
A INFLUÊNCIA DA MÍDIA NO PROCESSO PENAL BRASILEIRO: O “TRIAL BY MIDIA” E AS CONSEQUÊNCIAS NO JULGAMENTO
Authors: Santos Anna Julia Vieira , Santos Iasmin Andrade Brito dos
Published: November 2024

A pesquisa científica pretende analisar os efeitos das redes sociais nos veredictos proferidos pelos juízes ou pelos jurados do conselho de sentença. O tema da pesquisa discorre acerca da temática: “A influência da mídia no processo penal Brasileiro: ‘o trial by mídia’ e as consequências no julgamento.” Os objetivos abordados no estudo são verificar o poder das redes sociais na vinculação de notícias sensacionalistas, e como isso afeta diretamente na opinião de certos indivíduos, ao ponto de influenciar o destino de um apenado. Concluiu-se, por meio deste estudo, que as redes sociais são reconhecidas como influentes geradoras de conceitos, no que é chamado de 'influência digital'. Com isso, compromete a imparcialidade, a justiça e a integridade dos julgamentos criminais.
REVISÃO INTEGRATIVA DOS EFEITOS NEUROLÓGICOS DE DEFENSIVOS AGRÍCOLAS À BASE DE CARBAMATOS EM CRIANÇAS
Authors: Nunes Gabriel Henrique Rebechi , Ciarapica Manuela Herculano , Silva Fredson Torres
Published: November 2024

A intoxicação por defensivos agrícolas à base de carbamatos têm impactado diversas faixas etárias, com particular atenção para crianças. Este artigo revisa os efeitos da exposição a carbamatos em crianças, analisando suas consequências para o desenvolvimento neurológico e físico. Foram consultadas bases de dados como Scielo, PubChem, PubMed, ScienceDirect e Web of Science, utilizando critérios rigorosos de inclusão e exclusão e palavras-chave relevantes em português e inglês, como ‘’Carbamatos’’, ‘’Acetilcolina’’, ‘’Acetilcolinesterase’’, ‘’Defensivos agrícolas’’, ‘’Desenvolvimento Neural’’. Após essa análise, 37 estudos foram selecionados, revelando um consenso de que a exposição a carbamatos afeta negativamente o desenvolvimento neurológico, especialmente durante a gravidez e na infância, entre 0 a 10 anos. Apesar da escassez de literatura específica sobre o tema, os dados indicam que a exposição a esses defensivos está associada a comprometimentos cognitivos nas crianças.
RELACIÓN ENTRE EL NIVEL DE DEPRESIÓN Y ADAPTACIÓN EN LOS ADULTOS MAYORES DEL CENTRO GERONTOLÓGICO INTEGRAL DE TEZONTEPEC DE ALDAMA DURANTE LA PANDEMIA COVID-19
Authors: Mota Jessica Alejandra Escobar , Nolasco Benjamín López , Sánchez Ariana Maya , Estrada Edith Araceli Cano , Cuellar Ilse Araceli Duran , Garcia Lizeth Bautista
Published: November 2024

La depresión es un trastorno mental que ha aumentado a nivel mundial en los últimos años en la población geriátrica debido a la pandemia COVID-19, se presentaron factores como aislamiento, miedo al contagio, abandono y fallecimiento de seres queridos. Objetivo: Demostrar la relación entre el nivel de depresión y adaptación en los adultos mayores del Centro Gerontológico Integral de Tezontepec de Aldama durante la pandemia Covid-19. Métodos: Estudio cuantitativo-trasversal, no experimental, prolectivo y prospectivo, con un muestreo no probabilístico, se utilizó la ficha de datos sociodemográficos, Escala de Depresión Geriátrica de Yesavage (GDS-15) y nivel de adaptación. Resultados: 121 participantes de los cuales (f=79) el género femenino (f=42) masculinos. De acuerdo al nivel de depresión 69.4% (f=84) normal, 25.6% (f=31) moderada y 5% (f=6) severa. Respecto a adaptación, en el modo fisiológico expone que el nivel integrado es el que mayor predomina con un 78.5% (f=95); modo autoconcepto señala el nivel compensatorio ser el más relevante con un 95.9% (f=116); modo función del rol, el nivel integrado es el más notorio con un 95.9% (f=116), en el modo interdependencia, el nivel integrado es el más sobresaliente con un 98.3% (f=119)., de acuerdo a la correlación de Spearman, existe la relación entre las variables de estudio depresión y adaptación de .48**, con un nivel de significancia bilateral de 0.001. Conclusión: se aprueba la hipótesis de investigación en la cual mencionamos: si existe relación entre el nivel de depresión y adaptación en los adultos mayores de dicha institución.
ANÁLISE CRÍTICA DA LEGISLAÇÃO DE PRISÃO DOMICILIAR NO BRASIL
Authors: Araújor Jackson Santos
Published: November 2024

O presente estudo tem sido um importante objeto de análise crítica, com foco na legislação de prisão domiciliar no Brasil, suas consequências e desafios em sua aplicação prática. Previsto no código de processo penal, a prisão domiciliar é uma alternativa à detenção preventiva, concedidas em casos específicos, como doenças graves, mulheres gravidas, mães de crianças pequenas e idosos (Vilela, 2024). A falta de conformidade na aplicação desta medida, é um dos principais pontos de crítica potencialmente levando à injustiça e desigualdade, comprometendo a segurança pública com infraestrutura inadequada com monitoramento confuso, dificultando a supervisão de detidos que se beneficiam de prisão domiciliar (Vilela, 2024). As Políticas públicas são um recurso necessária para garantir condições dignas, para os detidos e suas famílias especialmente nos casos de mulheres gravidas e mães que precisam particularmente dessas condições dignas, conforme destacado pelo supremo tribunal federal (STF) no julgamento do HC 143.641¹. A importância e a proteção dos direitos das crianças e a humanização das detidas do sexo feminino são enfatizadas na decisão do STF. Em resumo, análise crítica da legislação da prisão domiciliar no Brasil indica a necessidade de reformas que possam promover a justiça, bem como melhorias no monitoramento e na infraestrutura, para garantir a eficácia dessa medida (Vilela, 2024).