bluuebunny/crossref_metadata_2025 huggingface dataset:
Derivation and analysis of the dynamic equations of mobile robots with random disturbing forces based on the principle of least gauss force
Authors: Tuleshov А.К. , Seidakhmet A.Zh. , bduraimov A.E. , Kamal A.N.
Published: October 2024

In this paper, the derivation of the equations of dynamics of a four-wheeled mobile robot is carried out using the variational principle of least constraint, known as the Gauss principle. Equations of nonholonomic constraints are obtained. The function of the measure of coercion of the four-wheeled mobile robot is composed. Dynamic equations based on the Gauss principle are obtained taking into account the dynamic characteristics of two DC motors. Methods for taking into account the friction forces on the wheels and random perturbations due to the unevenness of the canvas are proposed. On the Maple platform, an algorithm and a program for modeling the dynamics of a mobile robot based on the Gauss principle were developed the correctness of the obtained equations of robot motion were proved.
Natural and anthropogenic formation of currently unaccounted raw material base of metals, creating deposits of a new type
Authors: Marat Bitimbaev  , Mirgali Kunayev  , Khali Yusupov  , Zhanat Alisheva
Published: October 2024

Ore - natural deposition of chemical elements in the native or mineral-forming form, caused by the action of geological processes and their accompanying geochemical regularities, in which the concentration of some chemical elements reaches a value sufficient for cost-effective extraction in a given period. The production process itself, which ensures profitable extraction, begins after geological exploration from the stage of design and subsequent extraction, enrichment and metallurgical processing. Science has proved and statistics have confirmed the expected complete depletion of reserves in the continental earth crust to a depth of 5 km within 30-150 years depending on the type of metal. Scientifically substantiated and practically possible technological solutions, which have no analogues in the world, are proposed for the creation of historically inexhaustible deposits of a new type of natural and technogenic origin based on the use of combined processes of geotechnology and minerallurgy, a full current cycle of subsoil development and a circular economy.
Geochemical features of orecontrolling epigenetic zonality and satellite elements of uranium mineralization at the budenovskoye deposit
Authors: Umiralieva A.T. , Burkurmanov B.Sh. , Shiryaev V.A.
Published: October 2024

The study of associated minerals and components is carried out at all stages of geological exploration in the process of developing deposits and during uranium mining, based on exploration data. Since the main purpose is uranium mining, the evaluation of the PPK is carried out only in the volume of the contours of the operational uranium blocks. Based on this, prospects can be associated with satellite elements that have geochemical characteristics similar to uranium and the possibility of migration in an acidic environment.
Prospects for the development of new specialized food products based on the milk of various farm animals
Authors: Sinyavskiy Yu.A.  , Tuigunov D.N.  , Kassym A.K.  , Mendybaeva A.S.
Published: October 2024

The article presents the results related to the prospects for the use of goat, mare and camel milk in the production of baby food and therapeutic and prophylactic nutrition. The direction of designing new specialized food products is promising for the food and processing industry, since scientific developments associated with new technologies and recipes will significantly expand the range of baby and dietary food products and improve the quality of life and health of the population in Kazakhstan.
Agrotechnology based on the bioorganic preparation HUMIN PLUS
Authors:   Kazakh National Agrarian Research University, Abutova R. , Kozhakmetov M. ,   Kazakh National Agrarian Research University
Published: October 2024

The article is dedicated to the development and implementation of innovative agricultural technology in agriculture field. We give definitions of humic preparations of lake sapropel, we give brief theoretical aspects of the action mechanism of humic preparations on plants. We describe methods for obtaining humic-containing products at a high level - the technology of mechanochemical activation. We present the results of the practical application of nano and biophysical agricultural technologies on the example of seed and plant processing, crops in Kazakhstan.
Risk of emissions of hazardous substances into the surface atmosphere and impact on the risk of respiratory disease of the popul
Authors: Tursunov M. Zh.
Published: October 2024

The statistical data on the population size, the number of registered diseases of the digestive system with the first diagnosis and emissions of harmful substances into the surface layer of the atmosphere for a 29-year period are summarized. The levels of assessment of the risks of morbidity of the respiratory system of the population, environmental risk from emissions of harmful substances into the surface layer of the atmosphere have been analyzed. To determine the relationship of the studied risk parameters, the data are summarized in the table. The partial coefficients of multiple correlation are calculated and the level of risk parameters at which there is a reliable relationship is established. Mathematical research makes it possible to use the results in monitoring the morbidity of the respiratory system in the population with a newly diagnosed diagnosis under the influence of the environment.
Potencial uso agrícola de água cinza tratada em sistema de produção familiar
Authors: Araújo José Edson de Albuquerque , Dias Nildo da Silva
Published: October 2024

O reuso de água cinza, por intermédio de um sistema decantodigestor de câmara única tem se multiplicado na zona rural do semiárido do nordeste do Brasil, como fortalecimento da produção na Agricultura Familiar como resposta sustentável a escassez hídrica. Nos municípios de Encanto e São Miguel, localizados no estado do Rio Grande do Norte, foram estudados 03 sistemas com forragicultura, sobremaneira. Para caracterizar e avaliar a composição físico-química da água no transcurso de todo o processo de uso e reuso, foram coletadas 36 amostras das águas de uso da família, dos efluentes brutos e dos efluentes tratados. Feita a classificação para fins de irrigação, 47% das amostras apresentaram alto risco de salinização e baixo risco de sodificação. Conclui-se assim que o uso do efluente tratado pode ser feito, observando-se os cuidados com as fontes de abastecimento das residências, seu comportamento quanto ao ciclo hidrológico, os níveis de toxidade, sodicidade e salinidade, o solo no qual será aplicado o efluente e as culturas irrigadas.
Impacto da cobertura vegetal e simulação de chuvas na erosão hídrica em neossolos quartzarenicos no Cerrado Maranhense
Authors: Ferreira Pedro Sávio Alves , Alves Kira Figueredo , Oliveira Marília Barbosa de , Santana Jhonata Santos , Viana Jonathan dos Santos , Silva Alinne da , Silva Cristiane Matos da , Silva Wilson Araújo da
Published: October 2024

A erosão hídrica é o principal processo de degradação que compromete a capacidade produtiva dos solos, sendo frequentemente intensificada por ações humanas. Esse fenômeno ocorre em três fases: desprendimento, transporte e deposição de partículas, e é um dos maiores responsáveis pelo declínio da produtividade agrícola. A utilização de chuvas simuladas tem se tornado comum em estudos hídricos, pois reduz o tempo e os custos necessários, além de oferecer maior controle experimental e a possibilidade de repetir as condições de forma idêntica, algo impossível com chuvas naturais. O objetivo deste estudo foi medir e comparar as perdas de solo e água causadas pelo escoamento superficial resultante da erosão hídrica, utilizando um simulador de chuvas por aspersão portátil. O experimento foi conduzido em uma área rural do município de Carolina - MA, em um Neossolo Quartzarênico com declividade média de 4,34% e clima tropical (AW’) segundo a classificação de Köppen. Chuvas simuladas com intensidade de 120 mm.h⁻¹ foram aplicadas em dois cenários distintos: um com cobertura vegetal natural e outro sem cobertura, para determinar as perdas de solo e água pelo escoamento superficial. Os resultados indicaram que, no cenário estudado e metodologia aplicada, a vegetação nativa não influenciou as perdas de solo e água. As características físicas do solo, a declividade e a metodologia de pré-molhamento foram os principais fatores que impactaram diretamente os resultados observados.
Serving up Success: Assessing and Improving Tennis Athlete Development Pathways
Authors: Zhang Binghao , Dr Violeta S. Dulatre
Published: October 2024

The primary purpose of this study was to look into what makes tennis players develop and succeed, as well as the most significant problems and obstacles they face on their way to becoming better. Using a mix of methods, numeric and qualitative data were gathered from 526 tennis players from various school programs and levels of experience. The quantitative data was technical, primarily training, tactical skills, mental preparation, competitive experience, teaching, and support networks. On the other hand, the qualitative conversations looked into how athletes felt about these things on a deeper level and perceptions of the coaches on their view of the current development of atheletes and how they could be improved were also the focus of this study. Meanwhile, the players who answered were male and female, from various school backgrounds, and most of them had competed for one to two years. The study found that athletes liked all parts of training but needed more access to expert coaches. These training sites required to be updated had more chances to compete and had trouble balancing their athletic and academic obligations. Qualitative results showed more problems, such as mental stress from high-level racing and not enough help for recovering from injuries. Results showed that there are significant holes in the current growth paths for tennis players. It stressed the importance of making it easier for them to get tools, mental health support, and up-to-date training devices. Based on these results, a complete program was created to remove these obstacles and improve athletic growth.
Transformational Leadership, Technological Competence and Teachers' Performance
Authors: Chen Changwen , MARIA LUVIMI L. CASIHAN
Published: October 2024

This study evaluated the extent of transformational leadership and technological competencies of school teachers in selected universities in China. The study further formulated a policy program that ensured the practice of transformational leadership in the involved institutions. It made use of a quantitative research design. More specifically, the study utilized a descriptive-comparative-correlational research design to gather data and further process, analyze, and interpret these. This research was conducted among three (3) selected universities in Hunan Province of China. The Universities are Hunan International Economic University, Hunan Normal University, and Hunan University. The study was conducted among 186 teachers selected from a population of 357. Several statistical tools such as frequency count and percentage, weighted mean, standard deviation, t-test and ANOVA, and Pearson’s Correlation was used for the data analysis. Based on the study findings, the majority of the teachers are between 31-40 years old, mostly males, with mostly 16-20 years of teaching experience, and are mostly post-graduates. In the assessment of the transformational Leadership of the superiors, the evaluation showed that the superiors possess a higher level of individualized consideration, followed by idealized influence, then intellectual stimulation, and inspiration motivation. In the assessment of the difference in transformational leadership based on age, the finding suggests that the mean assessment of all the age groups are similar, indicating a balanced distribution of the respondents based on age in individualized consideration, inspiration motivation, and idealized influence. The assessment on technological competence show that the highest dimension is the technological pedagogical knowledge, followed by technological content knowledge, and the technological knowledge. A significant relationship exists between technological leadership, technological competency, and the performance of the teacher superiors. This relationship entails that a transformational leadership practice among the superiors influences the level of technological competency and the performance of the teachers.
The Impact of Exercise Load and Intensity on the Performance of China U24 3x3 Women Teams
Authors: Feng Zijun , Jiang Jiayin , Zheng Lei
Published: October 2024

This study analyzed the exercise load and exercise intensity of the China U24 3x3 women team in multiple games, combined with the performance data of the players in the game, and explored the impact of these factors on exercise performance. The results showed that there was a significant positive correlation between load intensity and average heart rate, and high load intensity usually led to a higher average heart rate. In addition, performance data such as scoring and rebounding were also significantly correlated with load intensity and load volume. Players with higher scores often underwent higher load volume and load intensity in the game. This shows that in high-intensity games, players' physical fitness and performance are closely related, and reasonable monitoring and management of load intensity are crucial to improving player performance and reducing the risk of injury. The study also showed that there were significant differences in load volume and load intensity between the U24 Blue Team and the U24 Red Team in different games, further emphasizing the importance of load management in game strategy and physical training. This study provides empirical evidence for basketball teams to formulate scientific training plans and game strategies, and emphasizes the importance of exercise load and intensity management to improve the overall performance of the team and the individual performance of the players.
The Students Satisfaction and Interest in Roller Skating
Authors: Sun Xinxiang , DANIEL B.SAROCA,JR
Published: October 2024

This study is based on classroom satisfaction and students' roller skating course learning interest, laying a foundation for improving students' roller skating course learning quality. The results show that students' learning satisfaction and roller skating course learning interest in classroom learning have been improved, which has improved the learning quality of roller skating courses. Through descriptive correlation design and SPSS analysis of data from 300 students, it was found that students' roller skating interests in high-level dimensions, including self-flexibility; Roller skating skills and fundamentals; personal interest; Parents; Teachers; Facilities; Roller skating course and roller skating course satisfaction Learning content; Learning resources and activities; Learning task Implementation, etc. In order to improve students' classroom satisfaction and roller skating course learning interest, teachers should take relevant measures in teaching, such as not considering sex, age, as the main factors for evaluating students' learning interest and satisfaction, emphasizing the actual content of course design and teachers' organizational means, helping students build interest, and strengthening the development quality of roller skating courses.
Blended Teaching Design of Hotel Customer Management based on Xuexi Tong
Authors: Wang Fang
Published: October 2024

This paper explores the innovative application of a blended teaching mode for the core hotel management course, "Hotel Customer Management" (HCM), utilizing the Xuexi Tong learning platform. This study analyzes the platform's advantages for student learning and propose a comprehensive teaching design that has been implemented and evaluated using qualitative research methods. The results demonstrate that the Xuexi Tong-based blended teaching mode effectively stimulates student learning interest, fosters initiative, promotes deep learning, and cultivates practical abilities. This paper details the teaching design content, implementation process, and evaluation methods, offering valuable insights for promoting and applying blended teaching approaches in hotel management education.
The Positive Impact of Participation in Student Sports Community Activities of Zhangjiajie Aviation College in China on the Mental Health of College Students
Authors: Zhou Chunhui
Published: October 2024

This article aims to explore the positive impact of participation in student sports club activities of Zhangjiajie Aviation College in China on the mental health of college students. Through a questionnaire survey, the data of 300 college students were collected, and statistical analysis methods were used to deeply analyze the relationship between the frequency and type of participation in sports community activities and the mental health status of students. The research results show that universities that actively participate in sports community activitiesBorn in emotional stability, social ability, self-awareness and stress coping, etc. have all shown significant positive changes. This article further analyzes the specific mechanisms of these positive effects, and puts forward suggestions to promote students' participation in sports clubs and improve mental health.
The Relationship between Social Support and Happiness: The Moderating Effect of Marital Status
Authors: Wei Yuan
Published: October 2024

Study explores social support-well-being interplay, assessing marital status's moderation. 1000 adults in diverse marital states surveyed via questionnaires. Scales measured social support & well-being. Analysis showed strong positive link, with marriage amplifying the benefit. Marital status is a key mediator.In contrast, the association was weaker among unmarried, divorced or widowed individuals. This suggests that marital status may further strengthen the positive effect of social support on well-being by consolidating emotional support and enhancing life security perception.
Exploration of Taxation Curriculum Construction based on OBE Concept
Authors: Zhou Yan , Yue Peipei
Published: October 2024

With the advent of the digital and information age, the traditional education model of talent cultivation is no longer able to meet market demand, and there is an urgent need for a transformation in educational philosophy and a reconstruction of the curriculum and teaching process. The article takes the core discipline of taxation in the financial system as the research object, analyzes the problems and reasons in its teaching objectives, teaching content, teaching implementation, and teaching evaluation, and based on the OBE concept, proposes suggestions for the construction of learning outcomes, curriculum objectives, curriculum content reconstruction, and evaluation methods in taxation to meet the individual growth needs of students and adapt to the market's demand for tax related talents.
Development and evaluation of an integrated multidisciplinary rehabilitation program for patients with neuralgic amyotrophy
Authors: Janssen Renske
Published: October 2024

The Plexus Clinic at Radboud university medical center, established in 2009, is specifically designed for persons with Neuralgic Amyotrophy (NA), an inflammation of brachial plexus nerves that causes severe pain, muscle weakness, and fatigue. Standard physiotherapy often proves to be ineffective or even worsens symptoms. This dissertation shows that a specialized rehabilitation program, combining physiotherapy and occupational therapy, is more effective. The program focuses on improving shoulder stability and coordination, along with training self-management strategies to reduce pain and fatigue. Patients reported to highly value expertise and strong collaboration with their treatment team, as it helps to better understand and influence their symptoms. Clear explanation of these modifiable factors is crucial. Graphing the course of pain and fatigue scores throughout the day helps patients understand the relationship between residual NA symptoms and daily activities.
Polycephalous Slime: Chemistry and Intelligence in Parallel Minds
Authors: Schwartz Scott
Published: October 2024

Review for:
Laura Tripaldi, Parallel Minds: Discovering the Intelligence of Materials. Falmouth, UK: Urbanomic, 2022. 192 pp. $18.95 (Paperback ISBN: 9781913029937)
Notes on three threatened and little known endemic trees from Western Ghats, India
Authors: Gopalan R. , Meena S.
Published: October 2024

Vepris bilocularis (Wight & Arn.) Engl. & Prantl (Rutaceae), Humboldtia decurrens Beddome ex Oliver (Caesalpiniaceae) and Symplocos monantha Wight (Symplocaceae) all little known and threatened species distributed in fragmented isolated population in Western Ghats, are described.
Artificial Intelligence-Enhanced Green Building Design for Environmental Sustainability
Authors:   Department of Computer Science, Dijlah University Collage, Baghdad, Iraq, Omar Omar ,   School of Engineering - RMIT University, Melbourne, Australia, Al-Boridi Omar Al
Published: October 2024

Green buildings are those that use sustainable methods of construction to either maintain or improve the local quality of life. Decisions affecting a project's quality, safety, profitability, and timetable are made using Artificial Intelligence (AI) in Green Construction by analyzing data gathered from monitoring the construction site and using predictive analytics. For instance, increased accuracy in weather predictions might lead to more production, less waste, lower costs, and less greenhouse gas emissions. Green building construction is a significant source of carbon dioxide released through the breakdown of carbonates. Researchers have concluded that integrating industrial wastes is crucial in green concrete making due to its benefits, such as reducing the requirement for cement. When planning with concrete, its compressive strength must be considered. Due to their high predictive power, AI algorithms may be used to determine the compressive strength of concrete mixtures. Existing artificial intelligence (AI) models may be evaluated for their modeling process and accuracy to inform the creation of new models that more accurately represent the comprehensive evaluation of setting parameters on model performance and boost accuracy. Potential sources of conflict in this anthropocentric future include climate change and the availability of renewable energy sources. Scientists think there is a connection between the increased emission of greenhouse gases like carbon dioxide (Co2) from the combustion of fossil fuels and the acceleration of climate change and global warming. Research has demonstrated that the building sector is a significant source of atmospheric carbon dioxide (Co2). Construction, building activities, and subpar energy sources have all significantly increased atmospheric CO2. The proposed research set out to measure how well AI in Green Building Construction (AI-GBC) might reduce carbon emissions and utility bills. Artificial intelligence uses SVM and GA to reduce energy use and carbon dioxide emissions. Several statistical metrics, such as Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Root Mean Squared Log Error (RMSLE), are used to evaluate the AI-GBC's precision. Both Machine Learning (ML) models yielded positive results, with prediction accuracies above 95%. Regarding predicting Co_2, GA models were close to the mark, with an R2 of 0.95. Ninety-six percent will complete a performance analysis, and 97% will conduct a k-fold cross-validation analysis. Cross-validation is used to ensure that the findings of the extended modeling technique are accurate and prevent overfitting.
EEG-based Epileptic Seizure Detection Using DconvNET
Authors:   Research Scholar, Department of ECE, Chaitanya Deemed to be University,Kishanpura Hanamkonda, Warangal, Telengana, India, Suresh Suresh ,   Professor, Department of ECE, Chaitanya Deemed to be University, Kishanpura, Hanamkonda, Warangal, Telengana, India, Khetavath Seetharam
Published: October 2024

Epilepsy is a neural condition that is rather prevalent and affects a sizeable portion of the average population all over the world. Throughout its history, the illness has constantly be located of significant status in the pitch of biomedicine due to the dangers it poses to people's health. Electroencephalogram (EEG) recordings are a method that may be utilized to evaluate epilepsy, which is defined by the occurrence of seizures that occur repeatedly and without any apparent cause. Electroencephalography, often known as EEG, is a method that is utilized to assess the electric movement located within the brain. The examination of electroencephalogram data is an essential component in the field of epilepsy research, since it allows for the early detection of epileptic episodes. On the other hand, the generation of models that are independent of individual characteristics is a significant challenge. Extensive efforts have been directed to the creation of classifiers that are tailored to specific patients. In this thesis, the cross-patient viewpoint is the primary focus of investigation; nevertheless, the heterogeneity of EEG patterns among people presents a challenge to this investigation. An examination of the similarities and differences of the pattern recognition algorithms that are applied for the diagnosis of epileptic episodes based on EEG data was taken. SVM (Support Vector Machine) and KNN (K-Nearest Neighbor) were the approaches that were under consideration for evaluation. According to the findings of our analysis, the two approaches exhibit comparable levels of performance; however, KNN attained a slightly greater level of accuracy in some situations on occasion.
The impact of AI-generated content dissemination on social media on public sentiment
Authors: Liao Ruohuang
Published: October 2024

Abstract. AI has gradually become a vital tool involved in creating content since it has changed the way information that is shared on different platforms is produced, the use of artificial intelligence in content generation particularly through social media has far-reaching consequences for societys attitude, confidence, and the public information domain. This literature review aims to critically evaluate the prevalence of the works hinging on the impact of AI-generated content dissemination on public sentiment and trust; it assesses the way content disseminated through AI impacts the users perception and behavior. Thus, this review not only presents an integration and elaboration of the existing literature but also notes limitations and directions for forthcoming exploration.
A review of load forecasting technology based on artificial intelligence
Authors: Fu Jiashen
Published: October 2024

Abstract. Driven by the "dual carbon" goals and the construction of new-type power systems, the importance of power load forecasting technology has become increasingly prominent. Accurate power load forecasting can not only ensure the safe and stable operation of the power system, but also promote the efficient use of clean energy and reduce carbon emissions. Traditional power load forecasting methods have become insufficient in dealing with the complexity and nonlinear growth of power systems, and the development of artificial intelligence technology has brought new possibilities for power load forecasting. Power load forecasting methods based on machine learning and deep learning have gradually become a hot topic of research due to their powerful nonlinear mapping capabilities and advantages in processing big data. These methods not only perform well in short-term forecasting, but also show potential in medium- and long-term forecasting. This paper discusses the application of different artificial intelligence technologies in power load forecasting by sorting out the development status of related technologies, and provides a reference direction for future research.
Measurement of development level of digital transformation of banks in Northwest China
Authors: Zhou Aitong
Published: October 2024

Abstract. In the current era, the digital economy has become an important opportunity for commercial banks. In order to keep up with the pace of The Times, build a solid foundation of science and technology finance, and promote the economic development of the Northwest region, this paper adopts the analytic hierarchy process and fuzzy comprehensive evaluation method to explore the influential factors of the digital transformation of banks in the Northwest region. The analysis shows that net capital, operating income and loan-to-deposit ratio have the greatest impact on the digital transformation of banks. In terms of digital transformation of banks in Northwest China, Shaanxi Province and Gansu Province have a better development level, Qinghai Province and Ningxia Hui Autonomous Region are relatively average, and Xinjiang Uygur Autonomous Region Province is relatively backward. Based on this, the paper puts forward suggestions to improve the level of capital management, optimize the structure of deposits and loans, and promote income diversification.
Fault diagnosis of transformer based on XGBoost
Authors: Wang Lin
Published: October 2024

Abstract. With the continuous development of technology, the fault diagnosis of transformer is also continuously advancing. Traditional fault diagnosis methods such as the three-ratio method and the characteristic gas method have the disadvantages of missing coding and limited identification capabilities. Data-driven fault diagnosis methods can integrate various information for data analysis to accurately diagnose the type of fault. This paper proposes a fault diagnosis method for transformers based on the XGBoost model. First, the input data is selected for the ratio feature engineering, and the obtained ratios are also used as input data, and then the input data is normalized for data preprocessing. Secondly, the XGBoost model is introduced, which minimizes the prediction errors in each round of gradient boosting, thereby improving the accuracy and recall rate. Finally, through case analysis, comparisons are made with other methods in various performance indicators, and the accuracy is improved. The results show that the XGBoost is more accurate in the fault diagnosis of transformers, proving that the research has certain value and significance.
Teaching for Social Justice: How Educators Address Inequalities in STEM Education
Authors: Meng Xianghui
Published: October 2024

Inequalities in STEM education remain a persistent issue, disproportionately affecting underrepresented groups, including women, minorities, and low-income students. This study aims to explore how educators address these inequalities through social justice frameworks in their teaching practices. Grounded in theories of culturally relevant pedagogy and critical pedagogy, the research investigates the role of teachers as key agents in promoting equity in STEM classrooms. A systematic literature review was conducted, drawing from case studies, academic articles, and policy reports, focusing on strategies that educators use to create more inclusive and supportive learning environments. The findings reveal that educators utilize a range of methods, such as differentiated instruction, inclusive curriculum design, and culturally responsive teaching, to address disparities in STEM education. However, significant challenges, including limited resources and inconsistent institutional support, hinder full implementation. This paper highlights the importance of teacher agency and the need for professional development programs that equip educators to better address social justice in STEM education. It contributes to existing literature by providing a comprehensive analysis of best practices while identifying gaps in research on long-term impacts and global applicability.
Water Sampling and Legionella in Danish hot water systems: A short review
Authors:   Aalborg University, Nielsen Niss Skov , Aggerholm Søren
Published: October 2024

​This is a short review of a report evaluating the relevance of preventive water sampling in the effort to reduce Legionella levels in Danish hot water systems. The review is an English translation of a Danish review of an official Danish report prepared for The Danish Transport, Construction and Housing Authority (TBST-Agency) May 2019.
Okul Öncesi Eğitimde Okula Uyum: Türkiye’de Yapılmış Çalışmaların İncelenmesi
Authors: Tuğluk Esengül , Atış Akyol Nevra
Published: October 2024

Bu çalışmada Türkiye’de okul öncesi dönemde okula uyumla ilgili yapılmış olan araştırmaların incelenmesi amaçlanmıştır. Araştırmaya dâhil edilecek çalışmalar için ‘okul öncesi ve okula uyum’ ve ‘erken çocukluk ve okula uyum’ anahtar kelimeleri ile tarama yapılmıştır. Araştırma kapsamında belirlenen dâhil etme-dışlama ölçütlerine göre elemeler yapılarak veri seti oluşturulmuştur. Araştırmanın veri setini oluşturan 33 adet araştırma; yayınlandıkları yıl, kullanılan desen, katılımcılar, kullanılan analiz yöntemi, bulgular ve öneriler başlıkları altında incelenmiştir. Araştırmadan elde edilen sonuçlar okul öncesi eğitimde okula uyum kavramının en fazla 2018 yılında araştırıldığını göstermektedir. İncelenen çalışmalardan 24’ü nicel 7’si ise nitel çalışmadır. Çalışmaların katılımcıları incelendiğinde en fazla çocuklarla çalışıldığı görülmüştür. Veri setinde bulunan çalışmaların bulguları incelendiğinde ise okula uyum kavramının anne baba tutumları, ebeveynlerin eğitim düzeyleri, çocuğun sosyal becerileri, akran ilişkileri, öğretmenin sınıf içindeki davranışları gibi çok sayıda değişken ile ilişkili olduğunu ortaya koymaktadır. Ayrıca çocukların özel gereksinimli olma durumlarının okula uyumu nasıl etkilediğine değinen araştırmalara da ulaşılmıştır. Okul öncesi eğitimde okula uyum kavramı ile ilgili çok sayıda araştırma yapıldığı araştırmalardan elde edilen bilgilerin farklı boyutlarda alanı zenginleştirdiği görülmektedir.
Study on the mechanism and countermeasures of Ningbo-Bengbu cooperation to promote rural revitalization in Bengbu
Authors: Han Xiao
Published: October 2024

Against the backdrop of the integration of the Yangtze River Delta region, in 2021, the Implementation Plan for the Paired Cooperation between Shanghai, Jiangsu and Zhejiang Cities to Assist Northern Anhui Cities clearly states that Ningbo will cooperate one-on-one to assist Bengbu City, and Bengbu City's rural revitalization has ushered in new development opportunities. The research content of this project includes three aspects: First, systematically describe the typical facts of Ningbo-Bengbu cooperation in promoting rural revitalization in Bengbu under the background of economic integration in the Yangtze River Delta, and on this basis analyze and summarize the existing experience of Ningbo-Bengbu cooperation in promoting rural revitalization in Bengbu; second, conduct an in-depth investigation of Ningbo's effective practices of focusing on the "double strengths" of agriculture, rural construction, and the "three major tracks" of farmers' prosperity, and strive to create a higher-quality "pastoral city, urban village", and summarize and analyze the conditions and factors that constrain the development of Bengbu's agricultural and rural economy; third, under the background of the integration of the Yangtze River Delta, how Ningbo-Bengbu cooperation can utilize the agricultural and rural resource endowments and comparative advantages of the two cities, and propose countermeasures and suggestions for deepening Ningbo-Bengbu cooperation to promote rural revitalization in Bengbu is an important content and ultimate goal of this project. This project provides theoretical evidence for industrial cooperation and communication between Bengbu and Ningbo and the promotion of rural ecological civilization construction, which is of great significance to the development of rural revitalization in Bengbu.
The Analysis of Surreal Space’s Expression in Science Fiction Films: A Case Study of Interstellar
Authors: Wang Yichen
Published: October 2024

This research analyzes surreal space expression in science fiction films, using Interstellar as a case study. The study aims to identify the expression forms and visual effects of surreal space in science fiction films and to summarize the underlying scientific principles, aesthetic principles, and audience psychological interaction. The findings of this research will contribute to the improvement and industrial development of science fiction film scene design. By proposing instructions that combine scientific theories and physical space design, the study aims to address the issues of immature theories of surreal spatial constructions in science fiction films. The guidance provided will help enhance the quality of science fiction film productions.
The Wind Power Watch, "Guarding" for Safety - Data-Driven Intelligent Deterrence System for Monitoring Ships in Offshore Wind Farms
Authors: Hu Haiyang , Sun Minghua , Ma Jianwen
Published: October 2024

This study successfully developed a ship monitoring and repulsion system for offshore wind farms aimed at ensuring the safety and stable operation of the wind farms. The system is capable of real-time monitoring of ship activities and environmental conditions, quickly identifying and eliminating potential safety risks. The research content includes various aspects such as ship detection, path tracking, repulsion decision-making, and data processing. The system integrates multi-sensor data, Geographic Information Systems (GIS), Automatic Identification Systems (AIS) for ships, artificial intelligence algorithms, and advanced communication technologies, constructing an efficient and intelligent monitoring and repulsion framework. Field test results indicate that the system exhibits stable performance and efficient monitoring capabilities under harsh weather conditions, while the intelligent voice repulsion function has shown significant effects.
A Review of the Current Status of Soil Organic Matter in China's Arable Land
Authors: Sun Wen , Zhang Lulu
Published: October 2024

Soil organic matter (SOM) in China's arable land is a critical foundation for maintaining agricultural productivity and ecosystem health. However, in recent years, the content of SOM has shown a declining trend due to unsustainable agricultural practices, excessive use of chemical fertilizers, and land degradation. This decline has adversely affected soil fertility, water retention capacity, biodiversity, and carbon sequestration. Although certain regions have seen improvements through the application of organic fertilizers, straw return, and conservation tillage, the overall SOM levels remain low. Therefore, there is an urgent need to develop comprehensive management strategies to increase SOM content, promote sustainable agricultural development, and protect the ecological environment.
The performance evaluation of homestead exit under the background of rural revitalization
Authors: Guo Haiting
Published: October 2024

The reform of rural residential land system was piloted in 2015. Then, the scope of the pilot was expanded in 2020. An important part of the reform of the homestead system is the homestead exit, which is also a basic and important front-end link in the reform of the homestead system. In this study, the four pilot area: Pengshan District, Ziyang City, Cuiping District and Luxian District, which are close to Chengdu City of Sichuan Province, were investigated and questionnaires were distributed to the farmers. Based on the research data, from the perspective of farmers, this study selects indicators from three aspects including economic benefits, social benefits and living environment to make sub-objective evaluation and comprehensive evaluation of homestead exit performance. In the calculation process, the entropy weight method is used to calculate the weight of each index and the fuzzy comprehensive evaluation method is used to calculate the performance score. The research results show that the comprehensive performance of homestead exit in the surveyed areas is “good”, and the performance evaluation results are “average”, “good” and “good” respectively from the three aspects of economic benefits, social benefits and living environment.
The Impact of Pilot Policies for Smart Cities on Carbon Emissions in Cities along the Eastern Coast of China
Authors: Zhang Siyu , Long Xinyi , Zhang Ziqi , Niu Yuyan
Published: October 2024

Based on panel data from 111 prefecture level cities in the eastern coastal region of China from 2006 to 2021, this article regards the three batches of smart city pilot policies implemented since 2012 as a "quasi natural experiment", uses the asymptotic difference in differencesAA (DID) method to explore their impact on carbon emissions in the eastern coastal region of China, and verifies the scientific and credibility of the research results through multiple robustness tests. Then, heterogeneity analysis and mechanism analysis are conducted to explore the impact mechanism of smart cities on carbon reduction according to policies. The research results indicate that, firstly, the pilot policy of smart cities is beneficial for reducing carbon emissions in the eastern coastal areas of China, and this result remains robust after robustness tests such as PSM-DID (propensity score matching), placebo test, and exclusion of other policy interferences. Secondly, the pilot policies of smart cities have different carbon emission reduction effects in cities with different characteristics, and have more significant carbon emission reduction effects on small cities, non resource-based cities, and high GDP cities. Thirdly, the pilot policy of smart cities promotes the green and low-carbon development of cities in the eastern coastal areas of China by enhancing technological level and optimizing industrial structure.
Design Study of Friction Nanogenerator Based on Bionic Electric eel Structure
Authors: Yin Zhirao , Zhang Shaojun , Sun Rui , Zhao Chun , Zhang Qianyong
Published: October 2024

There exists a large amount of multidirectional and low-frequency wave energy in the ocean, and the emerging friction nanogenerator is quite advantageous in collecting the multidirectional and low-frequency wave energy in the ocean and converting it into electrical energy compared with the traditional ocean energy harvesting devices. Inspired by the biological structure of electric eel, a friction nanogenerator (BE-TENG) modeled after the electric eel is designed as a novel energy-loading device in this paper. In this paper, we firstly designed the BE-TENG structure with a semi-cylindrical shell as the main body, combined with a crankshaft-like structure and a biomimetic fin swing rod to simulate the electric eel's tail fins to ensure the balance of the device; secondly, we proposed a helical power generation structure, and the short-circuit current under the same conditions increased from 1.37 μA to 3.05 μA compared with the ordinary PTFE-Al friction pair, which is a 2.23-fold enhancement; and thirdly, this paper explores the potential relationship between the BE-TENG dielectric layer and the electrode layer and the factors affecting the output performance of BE-TENG, and investigates the effective friction area between the composite dielectric layer and the electrode layer, the thickness of the composite dielectric layer, and the influence on the output performance of BE-TENG by controlling the single-factor variables; finally, under the conditions of the present experiments, it was obtained that the Finally, under the present experimental conditions, the best output performance of BE-TENG is obtained when the effective contact area between the BE-TENG composite dielectric layer and the electrode layer is 32π cm2 and the thickness of the composite dielectric layer is 0.3 mm, and the optimized BE-TENG further improves its ability to collect blue energy, with a view to providing a new idea for the application of friction nano-generators and the protection of the blue ocean environment.
Research on the Performance of New Microbial Fuel Cell Anodes
Authors: Zhao Chun , Zhang Shaojun , Zhang Qianyong , Sun Rui , Yin Zhirao
Published: October 2024

In recent years, with the vigorous development of the maritime transportation industry, the resulting problem of ship oil pollution has become increasingly prominent. Efficient and thorough treatment of oily wastewater is the key to solving such problems. Microbial fuel cell (MFC) technology is a promising biological treatment method due to its good degradation effect, no secondary pollution, and energy recovery. In this paper, the discarded corn cob materials in nature were selected for high-temperature carbonization at 350°C, and NaOH was used to modify the modified biochar. Then, the coating technology of Ti3C2 MXene, NbC, WC, TaC and other materials was used to modify the surface of biochar, and the biochar anode material was obtained to construct a double-chamber microbial fuel cell device. The properties of the modified anode biochar materials were studied.
Why is “K-pop” popular in China: Research on the consumption behavior patterns in the New Media Environment
Authors: Hou Xiaoqiu
Published: October 2024

With the entertainment industry and the prevalence of consumerism today, the birth of the fan consumer culture in recent years has shown more and more powerful influence, fan economic market is growing. The emergence of new media communication channels, so that the emergence of new ways of communication, and then to provide a broader fan consumption exchange, trading platform. “Hanyu” also has many loyal fans in China, especially “K-POP” fans.This paper takes the “K-POP” fans in China as the main research object, studies their consumption behavior, analyzes the causes of this phenomenon and the factors that affect the consumption behavior of fans, further enrich the research results in the field of cultural consumption, explore the unique advantages of fan consumption culture for better manufacturing of Chinese products and dissemination of Chinese culture.
Adenovirus pneumonia in an immunocompetent patient : A case report
Authors: Vezir Duygu , Alkan Özlem , Çankaya Nihal Merve , Odabaşı Zekaver , Eryüksel Emel
Published: October 2024

Adenoviruses are viruses that typically cause mild infections involving the upper or lower respiratory tract, gastrointestinal tract, or
conjunctiva in children and immunocompromised patients. Severe pneumonia progressing to respiratory failure is very rare in healthy
adults without underlying immunodeficiency.
In this article, a case of fulminant pneumonia caused by adenovirus in a 26-year-old immunocompetent male patient is presented. The
patient, a pediatric resident, applied to our emergency department with cough, pharyngitis, myalgia and fever. He was hospitalized
due to the development of tachypnea, dyspnea and somnolence during follow up. Adenovirus was isolated from the nasopharyngeal
swab and stool of the patient who developed hypoxemia and had infiltrates on the chest radiograph. The case, that got well and was
discharged after an 11-day hospitalization, has been discussed in line with previous studies.