bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Simpanan Saham terhadap Ketahanan Lembaga pada KSP Kopdit Guru Kelubagolit Adonara
Authors: Anastasia Ina Boro  , Konstantinus Pati Sanga  , Yoseph Darius Purnama Rangga
Published: September 2024

The aim of this research is to examine and analyze the effect of stock savings on the resilience of the KSP Kopdit Guru Kelubagolit Adonara institution.  This research is a type of quantitative research with an associative approach. The data used in this research is financial report data consisting of the number of shares deposits and remaining business results of KSP Kopdit Guru Kelubagolit Adonara for the 2014 – 2023 financial year. The data analysis method used in this research is simple linear regression analysis. The results of this research show that the sig. (p-value) of the stock savings coefficient is 0.001 < 0.05, with a calculated t value of 5.029 > t table 1.81246. This shows that stock savings have a significant effect on Remaining Business Results, with a regression coefficient for Stock Savings of 0.168, which shows that every increase in Stock Savings will increase SHU by IDR 0.168. This means that there is a positive relationship between Share Savings and SHU, where an increase in Share Savings will lead to an increase in the cooperative's financial performance as measured through SHU.
Low-Carbon Transformation of Chinese Steel Enterprises Under the Dual Carbon Goals: Taking Baowu Group as An Example
Authors: Li Rouxiao
Published: September 2024

The profound changes in the environment have led to increasing global concerns about the negative impacts of carbon emissions. Against the backdrop of the environmental crisis, the concept of “dual carbon” emerged in China, aiming to achieve carbon peaking and carbon neutrality and mitigate the adverse effects of climate change. The establishment of these goals in 2020 marked a significant milestone in global efforts towards a more sustainable future. The paper initially delves into a comprehensive macro and micro analysis, reviewing significant policy measures introduced since the "dual carbon" goals were established in 2020. It pays particular attention to documents that have had a profound impact on the steel industry, emphasizing the urgency of low-carbon transformation among steel enterprises. Amidst the challenges posed by the macroeconomic environment and within the framework of the "dual carbon" policy, the paper takes Baowu Group, China's leading steel enterprise, as the focal point of this analysis. The paper meticulously scrutinizes seven specific measures implemented by Baowu Group in its journey towards low-carbon transformation, adopting a multifaceted perspective. It provides a comprehensive assessment of the effectiveness of Baowu Group's transformation from diverse perspectives, highlighting the successful outcomes of both Chinese government policies and corporate efforts. In conclusion, the paper presents tailored policy recommendations and transformation strategies tailored specifically for the steel industry.
The Mediating Effect of Charismatic Leadership on Teachers’ Engagement and Performance, Basis for Strategic Professional Program
Authors: Li Kunzhi , DR. REGINA B. NACIONAL
Published: September 2024

The construction and development of first-class disciplines in universities not only require academic leaders with profound academic achievements, but also require school administrators to have excellent leadership abilities and play a crucial leadership role in university construction and teacher growth. This article is based on the concept of charismatic authoritative leadership proposed by German sociologist Max Weber, combined with numerous research results on the impact of charismatic leadership on organizational performance in Eastern and Western cultures. Using Chengdu University of Information Technology as the sampling institution, a sample survey was conducted on in-service teachers and staff. The exploration of "charismatic leadership" in universities can help guide organizations towards the right direction, lead scientific research and innovation in disciplines, and guide teachers to form a good team spirit. Through empirical research, we can find that charismatic leadership has a positive impact on job performance. The above research has certain guiding significance for improving employee job performance, reducing management costs, and enhancing employee happiness and satisfaction in the context of Chinese university management.
Assessing the Quality and Effectiveness of School-Based Sports Coaching Programs in China
Authors: Wang Pengsen
Published: September 2024

This research assessed the effectiveness of sports coaching programs implemented in schools in China. It examines explicitly crucial elements such as coaching credentials, program structure, sports infrastructure, safety protocols, monitoring and evaluation approaches, and technology integration. The study used a stratified sampling technique to choose a representative sample of athletes from various universities. Data was gathered by administering questionnaires and conducting interviews to evaluate the athletes' perspectives on the coaching programs. The findings suggest that athletes typically have a good perception of coaching programs, especially about their effective promotion of cooperation, safety, and use of technology. However, some aspects need improvement, including grasping sports skills, allocation of facility money, and availability of contemporary resources. Furthermore, the research revealed no statistically significant disparities in athletes' evaluations or program outcomes when they were categorized according to their gender, sport, or length of participation. Furthermore, the coaching programs show a modest favorable impact on athletes' physical fitness, sports performance, and general well-being, with specific attention on the development of endurance, resilience, and problem-solving skills. The study furthermore cites many significant obstacles coaches encounter, including resource constraints, cultural and academic demands, inadequate professional growth opportunities, and hurdles to effective communication.
Study on the Protection and Rational Utilization of Personal Information in the Digital Era
Authors: Zhu Mingzhu
Published: September 2024

Since the advent of the digital age, personal information has been collected and aggregated, evolving into a new type of asset through innovative data technologies, which has generated significant economic benefits in circulation. At the same time, the traditional approach to personal information protection, which primarily focuses on privacy, is no longer sufficient for the demands of the digital era and does not facilitate the realization of the social value of personal information. How can these interests be appropriately balanced in law, and how can the legitimate rights and interests of the relevant parties be protected? To address these issues, the Personal Information Protection Act was introduced. However, the implementation of this law still faces challenges related to conceptual definitions, self-determination, and the protection and utilization system. Therefore, this article will consider the Personal Information Protection Law and international legislative practices to clarify the legal attributes of personal information, define the concept, and outline the rights of the information subjects, as well as the duties, responsibilities, and liabilities of information processors. It aims to answer these questions from the perspective of integrating sectoral laws and safeguard mechanisms. The article also explores the balance between individual and societal interests, promoting the protection and rational use of personal information in the digital age.
Role Orientation and Functioning of Artificial Intelligence in the Professional Development of University Teachers
Authors: Zhong Guoyan , Rajendran Nagappan
Published: September 2024

In recent years, under the auspices of technological development, artificial intelligence technology has penetrated into various industries, such as healthcare, industry, energy and even education. For the penetration of the education field, artificial intelligence has changed the teaching mode, teaching management, and brought unprecedented opportunities for the professional development of teachers. This paper explores the role positioning and function play of AI in the professional development of university teachers, with the goal of promoting the modernized university teacher team, after analyzing the role positioning of AI technology in the professional development of university teachers, researching the function play strategy of AI technology in the professional development of university teachers, and mentioning the limitations and challenges of AI in the professional development of teachers, teachers' role changes and It also mentions the limitations and challenges of AI in teachers' professional development, teachers' role transformation and competence requirements, so as to further improve the framework of AI's promotion of teachers' professional development in universitys and universities, and to strengthen the foundation of teachers' development in universitys and universities in China with the help of AI technology, so as to provide a "big country's good teacher" for high-quality higher education and promote the modernization and high-quality transformation of higher education in China.
Further Study of Music Visualization: Chladni's Figure
Authors: Wei Tianyi
Published: September 2024

By applying the principle of standing waves, the various scales produced by a piano within music software can be transformed into Chladni figures. These figures, which visually represent the vibration patterns of a surface, can be captured using photographic equipment. By carefully selecting the most accurate patterns and organizing them into a comprehensive table, it is possible to create a visual representation of Chladni figures corresponding to each musical syllable. This method provides a unique way to visualize the acoustic characteristics of different musical notes.
An analysis of traditional Chinese thought of “governing by moral force”
Authors: Su Xue , Yuan Mingzhong
Published: September 2024

The traditional Chinese thought of “governing by moral force”emphasizes that moral education is the foundation of governing a country, and requires the rulers to set an example, be strict with themselves, be clean and honest, and establish a clean and self-disciplined image to win the trust and support of the people. “Governing by moral force”is not only the way to govern the country, but also the theoretical basis for building a harmonious society. It still serves as a reference for the construction of the Party conduct and clean government and the improvement of people’s livelihood in the new era.
Music Education Resource Materials in Relation to Quality of Teaching in Changsha County, China
Authors: Tang Ming , Maria Luvimi l. Casihan
Published: September 2024

The study conducted in-depth research and statistics on the music education resources and teaching quality of Changsha County, the participants of the study Were junior students from the Music School of Changsha Normal College. To understand their current assessment of the music education resources and music teaching quality in Changsha County. The results show that: The survey of student respondents showed a nearly balanced gender distribution (53.2% male, 46.8% female) and primarily included students over 20 years old, indicating a mature student demographic. Respondents generally affirmed the professional level and teaching quality of music teachers but highlighted deficiencies in resource allocation and extracurricular community support. Sex and age differences in evaluating resource adequacy, teacher quality, and community support were not significant, indicating consistent perceptions across these demographics. High-quality resource materials in music classes were strongly correlated with positive teacher attributes, such as enthusiasm, interaction skills, and organizational ability, suggesting that well-resourced classrooms enhance teacher effectiveness and student engagement.
The Analysis of The Consumption Transformation and Degradation in China
Authors: Zhou Lizhi
Published: September 2024

Due to the negative influence of the COVID-19 pandemic on Chinese people’s daily lives, it is important to understand the changes in China’s economy and consumption behaviour. The purpose of this article is to reveal the actual situation that is facing by China now, as well as the similar situation that the whole world is facing, which is called the consumption degradation. Thus, the findings of this article will offer some actual help to improve the situation in consumption. The article analyses relevant literature about China’s economy, such as the economic condition that being influenced by the pandemic. Further, this paper analyses people’s living habits that are changed by the pandemic, such as the phenomenon that people start to buying goods online and a tendency of purchasing cheaper products. The article suggests that to improve the consumption level of the whole economy, the producers could set some rules such as minimum purchasing requirement along with effective advertisement to allow further promotion in the aggregate consumption.
Enhancing Public Welfare Functions with Deep Learning Technology: A Quantitative Analysis of Strengthening Citizen Rights Protection in China
Authors: Zhong Xin
Published: September 2024

The rapid advancement of deep learning (DL) technology has profoundly impacted numerous sectors, particularly public welfare services, which encompass healthcare, social security, and legal rights protection. In China, where a vast population creates challenges in resource allocation and equitable service distribution, the integration of DL technologies offers promising solutions to enhance efficiency, accuracy, and fairness in public welfare functions. This paper explores how DL can be applied to improve these functions, with a specific focus on enhancing the protection of citizen rights. Through case studies and quantitative data analysis, this research examines how DL technologies can be effectively deployed in the healthcare, social security, and legal sectors, providing a roadmap for modernizing public services and ensuring that citizen rights are safeguarded more comprehensively. Five key references are used to support the analysis of DL’s role in transforming these critical areas of governance, aiming to present practical and actionable insights for policymakers and technology developers.
The Construction of High-Risk Student Leave and Return-to-School Process from the Perspective of Home-School Collaborative Education
Authors: Zhu Li
Published: September 2024

Psychological crisis management is a critical component of school mental health education today. In recent years, psychological crises on campus have become increasingly prominent. However, the existing "home-school collaboration" intervention system is still lacking in comprehensive processes and systems, which can lead to issues such as unclear responsibilities, incomplete systems, vague procedures, and disconnection between home and school education when addressing psychological crises from the perspective of home-school collaboration. Therefore, this paper analyzes a student psychological crisis intervention case at our school and explores in detail the construction of a system for managing the leave and return-to-school process for high-risk students from the perspective of home-school collaborative education. It aims to provide institutional support for frontline teachers dealing with students facing psychological issues and offers suggestions for improving the management of high-risk students in schools.
Study on the Moral Education Infiltration in Junior High School English Textbooks from the Perspective of Cultivating Moral Talents
Authors: Pu Meiling , Xu Jing
Published: September 2024

Compulsory education English Curriculum Standards (2022 edition) clearly points out guided by Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era, the English curriculum fully implements the Party’s educational policies, fulfills the fundamental task of fostering virtue through education, and takes cultivating new-era talents with ideals, abilities, and responsibilities as its starting point and goal.
Maximizing Physical Education Leadership Effectiveness: Basis for Professional Development Program
Authors: Ma Rui , Rosalie Meriales
Published: September 2024

This study aims to assess physical education leadership effectiveness in Chinese schools as a basis for developing a professional development program to enhance leadership skills. It examines respondents' profiles, leadership practices, and identifies significant differences based on demographic factors. The researcher used a quantitative research design and utilized 384 students enrolled in Physical Education of the different universiites and colleges in China. The study highlights that leadership practices among physical education teachers in Chinese schools are generally underdeveloped, with significant improvement needed in areas like teaching excellence and leadership competencies. A professional development program is recommended to enhance leadership capabilities and address specific needs across different age and gender groups. Educational institutions and program developers should focus on creating targeted leadership development initiatives for younger, female students in physical education, particularly from specialized institutions. Additionally, school administrators and policymakers should implement comprehensive professional development programs to enhance leadership competencies, teaching excellence, and ethical behavior among physical education teachers.
The Impact of Urban Regeneration and Environmental Improvements on Well-Being
Authors: Claudia Barnes
Published: September 2024

Urban areas worldwide are grappling with significant challenges, including rapid urbanization, environmental degradation, and socio-economic disparities. In response, urban regeneration has emerged as a vital strategy aimed at revitalizing declining neighborhoods and enhancing residents' quality of life. This paper investigates the complex relationship between urban regeneration, environmental improvements, and residents' well-being, which encompasses physical health, mental health, social connections, and overall life satisfaction. By synthesizing existing literature, the paper highlights how initiatives such as the creation of green spaces and sustainable urban design positively influence residents' well-being. Furthermore, it explores case studies, including the High Line in New York City and the London Docklands, illustrating the benefits of integrating environmental considerations into regeneration efforts. The findings reveal that while urban regeneration projects can lead to significant improvements in well-being, challenges such as gentrification and equitable access must be addressed. The paper concludes by identifying gaps in the current literature and suggesting areas for future research, ultimately contributing to a deeper understanding of the interplay between urban regeneration, environmental enhancements, and well-being.
Research on Online Games and Social Interaction
Authors: Wang Xian
Published: September 2024

This paper delves into the central position of online games in contemporary society and their close relationship with social interaction. With the popularity of the Internet, online games have become one of the most important ways of leisure and social communication. The study outlines the development of MMOs, from their origins to their diverse classifications, and in particular how their unique social characteristics facilitate interactions between players. Through theoretical analysis combined with social exchange theory and symbolic interaction theory, this paper reveals the mechanisms of social interactions in MMOs, including inter-player exchanges, cooperation and competition, and explores how these interactions profoundly affect players' gaming experience and behavioural decisions. Further, this paper analyses the trend of convergence between online games and social networks, and how this convergence enhances the social attributes and player engagement of games. At the same time, the paper also focuses on the social problems that online games may bring, such as Internet addiction and social disorders, cyberbullying, etc., and looks forward to the impact of technological advances on future social interaction patterns. Finally, the paper summarises the potential and challenges faced by online games in promoting healthy social interactions, and puts forward suggestions for future research with a view to promoting the healthy development of the field of online games and social interactions.
The Lord Is Kind-Hearted And Cannot See The Poor: Social Reflections On The Film”Return To Dust”
Authors: Wang Xu
Published: September 2024

Chinese cinema has always played an important role in spreading culture and transmitting values. As a kind of audio-visual media, it needs to be able to reflect social reality, moral concepts as well as cultural values in a profound way. However, in China, which has a strict film censorship system, the production and dissemination of films are strictly controlled and restricted by the government censorship system. There is a film Return to Dust, which created heat through many self-media, such as XiaoHongShu and DOUYIN, before its release, in which the previews showed real rural literary scenes that attracted wide attention. After its release, the social aspect of the film explored the deep-seated human emotions and regional issues, and a month later, the film was taken off the shelves, instantly triggering a wide-ranging discussion on censorship standards and artistic freedom [1]. Return to Dust, as a literary film, is sufficiently rich in cultural connotation and social significance for the audience. The film uses linear storytelling to show the current situation of the rural underclass in Northwest China during the four seasons of the year, the social ills and the complexity of human nature, which triggers the audience to think about "suffering". However, it is worth noting that although the film shows the "suffering", it also shows the warmth of the two underclass people, i.e. the goodness and beauty of human nature. However, such films with sensitive social issues are often restricted by the Chinese government's censorship. Exploring the reasons why Return to Dust has not been accepted by the modern Chinese government is not only a critical reflection on the censorship results of the film, but also a profound analysis of the censorship standards, value orientations, and the ideology of the censors behind the censorship system of Chinese cinema
Feasibility Of Using AI Supervision System to Improve Teaching Quality
Authors: Wang Junbo
Published: September 2024

In Chinese educational circles, improving the quality of high school teachers' classroom content has become a hot topic of current research, but there are still shortcomings in how to use AI technology to achieve this purpose. This article analyzes the current situation of high school education in China and the possibility of applying an AI supervision system in practical teaching. The analysis of this article shows that the AI system is very effective in actual teaching, and teachers can greatly improve the teaching quality after using this system, and students' concentration and learning efficiency will be significantly improved. Based on this, this paper puts forward the following suggestions, hoping that relevant departments can support the popularization of AI supervision systems in high schools, and teachers can make reasonable use of this system to adjust the teaching methods of students and themselves. Finally, it is also hoped that the AI system itself can continue to improve to complete classroom supervision more efficiently.
Research on Visual Recognition of Service Robots Based on YOLO Algorithm
Authors: Yuan Bo , Su Jiajun , Dai Changlong , Zha Jingjing , Sun Jialin , Hou Xinyi
Published: September 2024

In modern society, based on the aging of population and the rapid development of intelligent technology, the demand for intelligent service robots is increasing, and visual recognition is one of the key technologies of service robots. The rapid development of deep learning technology provides new solutions for visual recognition. Existing target recognition algorithms have the problem of complex model and slow inference speed. According to the above problems, this paper proposes a visual recognition algorithm based on YOLO series, which is used for the visual recognition design scheme of service robot. It can ensure the detection accuracy, reduce the speed of the model complexity, speed up the reasoning, and determine whether to meet the actual needs. Through randomly selected pictures, the results show that the design scheme can effectively improve the detection accuracy and real-time of the service robot on targets, and enhance its autonomous service ability in various complex environments.
User Behavior Analysis and Optimization Countermeasures in Shopping APP Interface Design
Authors: Sui Jinchi , Mohd Mustafa Mohd Ghazali
Published: September 2024

In this study, the interface design and marketing strategy of shopping APP were deeply discussed, and a series of optimization countermeasures were put forward. The principles of interface design and user behavior are analyzed, and the design problems such as information overload, complicated navigation, low usage frequency and high user loss are pointed out. The countermeasures of interface design optimization, user behavior guidance and marketing strategy adjustment are put forward, including simplifying interface, optimizing navigation, personalized recommendation, incentive mechanism, brand building and marketing promotion. These measures are aimed at improving user experience, enhancing user stickiness and enhancing market competitiveness. Through this research, it provides theoretical basis and practical guidance for shopping APP interface design optimization and market strategy adjustment.
Exploring the Influence of Internet Usage Attitudes on Educational Equity among Chinese Migrant Workers: A Regional Analysis
Authors: Pei Jianting , Cavin F. Pamintuan
Published: September 2024

As urban builders, migrant workers (rural residents working in cities) should fairly enjoy urban educational resources. However, due to their social status, they face numerous educational challenges. This study explores how Chinese migrant workers' attitudes towards Internet usage influence educational equity, particularly in an environment where the Internet has become indispensable for learning, work, and daily life among Chinese residents. Using ANOVA and correlation analysis, the study investigates the relationship and influencing factors between migrant workers' attitudes towards Internet usage and educational equity. The research data were obtained from a 2020 survey conducted by the Peking University Chinese Social Sciences Survey Center, focusing primarily on Chinese migrant workers. The findings reveal that migrant workers' attitudes towards Internet usage significantly impact educational equity; groups that place greater emphasis on Internet usage exhibit better educational equity than others. Although the statistical differences in Internet usage attitudes among different regions are not significant, educational equity disparities among regions remain statistically significant. Based on these findings, recommendations are provided at the family, school, and government levels, aiming to address the digital divide, establish remote open education platforms, and improve the household registration system to enhance educational equity for migrant workers.
CONGENITAL ABSENCE OF PULMONARY ARTERY
Authors: HAYAT FS , REHMAT S , AHMAD J , KHAN B , IKHTIAR Z , BADSHAH I , KHAN S , BADSHAH Y , KHATTAK KU , UMAR Z
Published: September 2024

Isolated unilateral absence of a proximal pulmonary main artery is a rare congenital condition with a prevalence of 1 in 200,000 (1). The first case was reported in 1868, and to date, 350 cases have been reported (2). It usually occurs in conjunction with other cardiovascular anomalies such as tetralogy of Fallot, VSD, truncus arteriosus, etc. (2), and is typically diagnosed in childhood. Survival into adulthood is rare. Symptoms of this condition can include shortness of breath, chest pain, hemoptysis, reduced exercise tolerance, pleural effusion, and recurrent infections. We encountered a case of a 22-year-old female presenting with these symptoms. Initially, the symptoms suggested pulmonary embolism. However, further investigation through CTPA and Echocardiography revealed the absence of the left pulmonary artery. This case report emphasizes that patients showing signs and symptoms indicative of PAH should also be evaluated for the absence of a pulmonary artery." The pulmonary arteries originate from the sixth aortic arch during the sixteenth week of normal embryonic development. The proximal segment of the 6th aortic arch forms the initial portion of the right & left pulmonary arteries, respectively. The link on the arch's right side vanishes, whereas it establishes a connection through the ductus arteriosus on the left side. Pulmonary artery agenesis arises from the aberrant rotation of the afflicted segment's attachment to the aortic arch and dysfunctions during migration (3). Certain publications utilize the phrase “proximal blockage of the pulmonary artery” instead of “agenesis” to describe this anomaly. Although the intraparenchymal distal segment of the pulmonary artery is miniature, it is safeguarded (4). The prevalence of bronchopneumonia is ascribed to multiple causes, such as diminished lung tissue perfusion, impaired mucosal defense, and a possible unbalance of protease-antiprotease enzymes. Moreover, increased collateral blood flow may be associated with the onset of hemoptysis.
Personalisasi sebagai Sistem Tata Bahasa, Pengaruh Dekonstruksi Derrida terhadap Strukturalisme
Authors: Ruhupatty Chris
Published: September 2024

Tata bahasa merupakan sebuah sistem abstrak yang mengatur bentuk narasi lisan dan tulisan. Secara prima facie sering dianggap bahwa tata bahasa berkaitan langsung dengan perwujudan narasi lisan dan tulisan. Padahal, diskursus tentang hal ini tidak menunjukkan kenyataan tersebut. Semisal, di dalam pemikiran Saussure ditemukan bahwa sistem abstrak tata bahasa berbeda dengan sistem yang mengatur perwujudannya di dalam narasi lisan dan tulisan. Di sisi yang lain, Derrida menegaskan bahwa sistem tata bahasa sebagai realitas pada pikiran tidak memiliki kaitan sama sekali dengan sistem bahasa lisan dan tulisan. Berdasarkan kajian terhadap kedua pemikiran tadi, penelitian ini menemukan bahwa sistem tata bahasa merupakan bagian dari mekanisme tubuh-pikiran.
Romantic Hermeneutic Schleiermacher and Relevance with Existence of Radio Broadcasting
Authors: Anam Rifqi Khairul
Published: September 2024

Hermeneutics is defined as the process of interpreting a text. One of hermeneutics school is  romantic hermeneutics. Romantic hermeneutics have inquiry to recapturing the truth from the text, which was intended for the writing purpose of the artist. To achieve a genuine, definitive comprehension of a text, it is necessary to provide a psychological interpretation that is a projection into the creative process and the author's subjectivity, thereby bringing the grammatical interpretation of the text closer to a meanings framework based on selected words. The current investigation will concentrate on the romantic hermeneutic and its correlation with the existence of radio. This research is a philosophical reflection approach to library research. The result is in the context of listen radio, the listener interprets a spoken word that is generated by a broadcaster, which is characterized by grammatical arrangement, linguistics, and principles. In the process of intrepretation, the text presented by the broadcaster was interpreted by the listener in the social and cultural context.
Biomass, carbon stock and carbon dioxide sequestration by trees outside forests: A case study from Puducherry, India
Authors: Anbarashan Munisamy , Balachandran Natesan , Maheswari Paneerselvam , Ilavarasy Durai
Published: September 2024

Trees outside forests (ToF) play a vital role in reducing carbon from industrial activities and vehicles by sequestering and storing atmospheric Co2 generated as biomass. However, there is a scarcity of studies quantifying the biomass and carbon stock in the ToFs. To bridge this gap, we conducted a study on the potential of biomass and carbon dioxide sequestration in trees planted in Puducherry. Our findings show that the total above-ground biomass of adult trees in the city was 1926.03 Megagram (Mg), while belowground biomass was 244.47 Mg. The total carbon stored in adult trees was 966.53 Mg, while the volume of sequestered CO2 was 3547.17 Mg in the study area. To increase carbon dioxide sequestration in Puducherry town, we recommend increasing urban green cover and planting more fast-growing native species.
Arabidopsis WRKY55 Transcription Factor Enhances Soft Rot Disease Resistance with ORA59
Authors: Kang Ji Eun , Kim Hyunsun , Song Kyungyoung , Choi Changhyun , Kim Yun Ju , Hwang Duk-Ju , Chung Eui-Hwan
Published: September 2024

Pectobacterium is a major bacterial causal agent leading to soft rot disease in host plants. With the Arabidopsis-Pectobacterium pathosystem, we investigated the function of an Arabidopsis thaliana WRKY55 during defense responses to Pectobacterium carotovorum ssp. carotovorum (Pcc). Pcc-infection specifically induced WRKY55 gene expression. The overexpression of WRKY55 was resistant to the Pcc infection, while wrky55 knockout plants compromised the defense responses against Pcc. WRKY55 expression was mediated via Arabidopsis COI1-dependent signaling pathway showing that WRKY55 can contribute to the gene expression of jasmonic acid-mediated defense marker genes such as PDF1.2 and LOX2. WRKY55 physically interacts with Arabidopsis ORA59 facilitating the expression of PDF1.2</i. Our results suggest that WRKY55 can function as a positive regulator for resistance against Pcc in Arabidopsis.
Optimization of Conditions for Conidial Production in Bipolaris oryzae Isolated from Rice
Authors: Jang Seol-Hwa , Kim Seyeon , Kim Shinhwa , Chung Hyunjung , Park Sook-Young
Published: September 2024

Conidial production is a critical factor in testing pathogenicity and studying the physiology and ecology of fungal pathogens. Therefore, selecting an appropriate condition and medium for consistent conidia production is essential. In this study, we investigated light conditions and suitable medium conditions using the slide culture method to establish optimal conditions for continuous spore acquisition of Bipolaris oryzae. Primarily, we observed conidial production using two B. oryzae isolates, CM23-042 and 23CM10, under two different light conditions: (1) consistent near-ultraviolet (NUV) with fluorescent light, and (2) a 12-hr shift of the NUVdark cycle. Secondly, we examined conidial formation under seven different media on potato dextrose agar (PDA), V8-Juice agar, minimal medium (MM), sucrose-proline agar (SPA), rabbit food agar (RFA), rice bran agar (RBA), and rice leaf agar (RLA). Under consistent NUV light with fluorescent conditions, conidia were induced in both isolates, whereas conidia were not produced under other conditions after 7 days post-inoculation (dpi). Moreover, B. oryzae isolate CM23-042 produced the highest number of conidia in MM, while isolate 23CM10 yielded the highest number of conidia in PDA after 7 dpi. In summary, our data demonstrated that the consistent NUV light with fluorescent conditions were most conducive for conidia induction in B. oryzae. The selection of a medium for conidiation may vary depending on the B. oryzae isolates, but using MM and PDA or SPA and RFA medium could be effective for spore induction. These findings will contribute to improving conidiation according to the characteristics of collected isolates of B. oryzae.
Uncovering Candidate Pathogenicity Genes in Erwinia pyrifoliae YKB12327 via Tn5-insertion Mutagenesis
Authors: Nie Hualin , Lee Mi-Hyun , Lee Sanghee , Ko Seo-Rin , Hong Young-Soo , Moon Jae Sun , Yu Jun Myoung , Shin Ah-Young , Kwon Suk-Yoon
Published: September 2024

Erwinia pyrifoliae is a gram-negative bacterial pathogen that commonly causes black shoot blight in pear and apple tree. Although the pathogenicity of this bacterial species is very similar to E. amylovora, there is no specific explanation of its pathogenic genes and mechanisms. In this study, our investigation into E. pyrifoliae pathogenicity involved generating seven YKB12327 mutant strains using Tn5 transposon mutagenesis. Observations revealed weakened growth rate and loss of pathogenicity in these mutants. Whole-genome sequencing and alignment analysis identified transposon insertions within the coding sequences of five strains and in the intergenic region of two strains. Annotation analysis elucidated genes directly or indirectly associated with pathogenicity. Notably, mutant strain MT16 displayed a transposon insertion mutation in the cyclic-di-GMP phosphodiesterase (pdeF) gene, a key player in bacterial signaling, governing microbial behavior and adaptation to environmental changes. Our findings provide insights into the genetic regulation of E. pyrifoliae pathogenicity, suggesting potential avenues for further research aimed at understanding and controlling this bacterial pathogen by targeting pdeF to mitigate apple black shoot blight disease.
Pseudoperonospora cubensis Causing Downy Mildew on Luffa aegyptiaca in Korea
Authors: Lee Dong Jae , Choi Young-Joon
Published: September 2024

In November 2021, sponge gourd (Luffa aegyptiaca) plants with typical downy mildew symptom were observed in Korea. Based on morphological characteristics of sporangiophores and sporangia, combined with molecular phylogenetic analysis of the internal transcribed spacer rDNA and cox2 mtDNA regions, the causal pathogen was identified as Pseudoperonospora cubensis (Oomycota). This is the first report of downy mildew caused by P. cubensis on L. aegyptiaca in Korea. Given that P. cubensis exhibits high disease incidence and severity on many Cucurbitaceae crops, it could pose a significant threat to sponge gourd cultivation.
Investigation of the mechanical equivalent of heat using aluminum and brass cylinders
Authors: Yesimova Zhaniya , Makazhanova Aigerim
Published: September 2024

This study explores the mechanical equivalent of heat through controlled experiments using aluminum and brass cylinders. By mechanically rotating these cylinders against a friction band, the conversion of mechanical energy into heat is quantified, demonstrating a fundamental thermodynamic process. The experiment is designed to calculate the specific thermal capacities of the metals and evaluate the efficiency of energy transformation. Results validate the concept that mechanical energy, when converted through friction, becomes thermal energy—affirming the principles outlined in the conservation of energy. This work not only reinforces classical thermodynamics but also enhances our understanding of material properties under thermal stress, offering insights applicable to industrial applications and renewable energy technology. The findings underscore the practical implications of energy transformations in material science and engineering, contributing to the development of more efficient thermal management systems in various technological fields.
Recommender Algorithm for Supporting Self-Management of CVD Risk Factors in an Adult Population at Home
Authors: V. Afanasieva Tatiana , V. Platov Pavel , I. Medvedeva Anastasia
Published: September 2024

Since CVDs are the leading cause of death worldwide, this article solves the problem of developing a recommendation algorithm for the prevention of cardiovascular diseases (CVDs), as the main component of health recommender systems. To address this issue, a knowledgebased recommendation algorithm was proposed to support self-management of CVD risk factors in adults at home. The proposed algorithm is based on a new user profile and an original multidimensional recommendation model. The user profile includes not only descriptive but also predictive assessments of cardiovascular health based on the SCORE model which are outlined in official guidelines. A multidimensional recommendation model contains target, informational, and explanatory components for higher health lifestyle adherence. We found that ChatGPT provided plausible and understandable explanations of cardiovascular disease risk factors. therefore, these explanations were used in the texts of the recommendations. The main feature of the proposed algorithm is the combination of rule-based logic with the capabilities of a large language model to generate human-like text of multidimensional recommendations. Evaluation of the proposed algorithm showed high user satisfaction with the proposed recommendation algorithm.
Improving Cross-Domain Aspect-Based Sentiment Analysis using Bert-BiLSTM Model and Dual Attention Mechanism
Authors: Xu Yadi , Ibrahim Noor Farizah
Published: September 2024

Data across different domains can be influenced by variations in language styles and expressions, making it challenging to migrate specialized words, particularly when focusing on aspectual words. This complexity poses difficulties in conducting cross-domain aspectbased sentiment analysis. The article begins by introducing BERT for generating word vectors as representations of training texts, enhancing text semantics in the word vector representation stage. To capture more nuanced interaction information and context-related details, the paper proposes the Bert-BiLSTM model with a dual attention mechanism(BBDAM), which divides the original input sequence into three parts: above, aspectual words, and below. A dual attention mechanism was used to assess the interaction of aspect words with the three aspects (above, below, and neighboring words) in the three discourse segments. This mechanism allows for the comprehensive extraction of interaction information. By comparing with other modeling approaches, the experimental results show that the BB-DAM model produces good results in fine-grained cross-domain sentiment analysis.
Advancing Network Intrusion Detection Systems with Machine Learning Techniques
Authors: Benmalek Mourad , Haouam Kamel-Dine
Published: September 2024

This paper presents an approach to enhancing the efficiency and effectiveness of Network Intrusion Detection Systems (NIDS) by leveraging Machine Learning (ML) techniques, specifically Decision Trees (DT), Naïve Bayes (NB), and Support Vector Machine (SVM). The proposed methodology involves a comprehensive evaluation and comparison of these algorithms using the NSL-KDD and UNSW-NB15 datasets, employing standard evaluation metrics such as accuracy, precision, recall, and F1-score. The study identifies the most effective algorithm for practical NIDS deployment. By providing actionable insights and recommendations for implementing the most suitable ML algorithm, this research contributes significantly to the ongoing efforts in strengthening network security against evolving cyber threats.
Toward Reducing IDS Misclassification Using Hybrid DL and ML Approach
Authors: Alyahya Mohammed , Lahza Husam , Mosli Rayan
Published: September 2024

Operation centers often face challenges due to the high rate of misclassifications caused by the lower precision in Intrusion Detection System (IDS) models. Despite several research contributions ranging from machine learning and deep learning techniques aiming to reduce false positives and negatives, researchers and security experts consistently encounter a tradeoff between these two types of errors. This indicates a significant opportunity for further contributions in this field. We propose a hybrid model that combines Recurrent Neural Networks (RNN) feature extraction capabilities with Support Vector Machines (SVM) classification abilities. Our model achieves an impressive accuracy rate of 98.2% and significantly reduces misclassification errors compared to contemporary state-of-the-art models. This work shows the potential of hybrid approaches in improving accuracy and reducing false positive and negative errors.
Importance of melatonin and its supplementation in the treatment of obesity, inflammatory processes, non-alcoholic hepatic steatosis, and hepatocellular carcinoma: a systematic review
Authors: Teixeira Thaysa Andressa Brandão Vilela , Oliveira Luciene Pereira de , Ferreira Maria Aparecida Orlando de Moraes , Rocha Priscila Mendes Maia , Ricardi Gabriela , Ramos Katia Alves , Telles Cristiane Reis e Lopes , Silva Junior Antonio Carlos da , Silva Ariadne Fonseca Carvalho , Moreira Eduardo Vinicius França
Published: September 2024

Introduction: There are more than 2.3 billion overweight and obese people in the world. One of the important neurohormones responsible for adipose tissue metabolism is melatonin (N-acetyl-5-methoxytryptamine) (MEL), which can modulate inflammatory processes by eliminating nitric oxide, reducing synthesis or inhibiting other pro-inflammatory mediators, including tumor necrosis factor-alpha (TNF-a), interleukin 6 (IL-6) and interleukin 8 (IL-8). Objective: It was to highlight the main considerations and clinical evidence of the importance of melatonin and its supplementation in the treatment of obesity, inflammatory processes, non-alcoholic fatty liver disease, and hepatocellular carcinoma. Methods: The systematic review rules of the PRISMA Platform were followed. The search was carried out from May to July 2024 in the Scopus, PubMed, Science Direct, Scielo, and Google Scholar databases. The quality of the studies was based on the GRADE instrument and the risk of bias was analyzed according to the Cochrane instrument. Results and Conclusion: A total of 115 articles were found. A total of 28 articles were evaluated and 25 were included in this systematic review. Considering the Cochrane tool for risk of bias, the overall assessment resulted in 18 studies with a high risk of bias and 25 studies that did not meet the GRADE. Most studies presented homogeneity in their results, with X2=85.7%>50%. It was concluded that obesity-related inflammation is related to a state of oxidative stress with high production of reactive oxygen species. Melatonin has been highlighted for its antioxidant and anti-inflammatory properties. The high prevalence of obesity in the world population also confers an increased risk for the development of non-alcoholic fatty liver disease (NAFLD), as well as other liver diseases including hepatocellular carcinoma (HCC). Studies involving drug and molecular therapies are proposed to control the progression of these diseases. It is necessary to perform a molecular analysis involving epigenetic, biochemical, and inflammatory aspects related to melatonin supplementation, clarifying the effect of melatonin supplementation on obesity and liver diseases, including NAFLD and HCC. Thus, it is highlighted that the antioxidant and anti-inflammatory effect of melatonin is essential as a synergistic agent in weight loss and as prophylaxis and/or treatment of liver diseases.