bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Remunerasi Dan Disiplin Kerja Terhadap Kinerja Pegawai Di Sekolah Tinggi Penerbangan Indonesia
Authors: Toufic Rohman
Published: September 2024

Penelitian ini dilakukan untuk mengetahui dan menganalisis pengaruh  remunerasi terhadap kinerja pegawai di Sekolah Tinggi Penerbangan Indonesia, mengetahui dan menganalisis disiplin kerja terhadap kinerja pegawai di Sekolah Tinggi Penerbangan Indonesia, mengetahui dan menganalisis remunerasi dan disiplin kerja secara bersama-sama terhadap kinerja pegawai di Sekolah Tinggi Penerbangan Indonesia. Penelitian ini menggunakan metode kuantitatif, dengan teknik pengumpulan data menggunakan angket yang dilengkapi skala likert untuk mempermudah pengukuran. Jumlah populasi sampel penelitian sebanyak 83 orang yaitu pegawai Sekolah Tinggi Penerbangan Indonesia adalah kuat, dengan tingkat pengaruh sebesar 40,2% sedangkan pengaruh disiplin kerja terhadap kinerja pegawai di Sekolah Tinggi Penerbangan Indonesia adalah sangat kuat, dengan tingkat pengaruh sebesar 68,9% sedangkat pengaruh remunerasi dan disiplin kerja terhadap kinerja pegawi di Sekolah Tinggi Penerbangan Indonesia adalahsangat kuat, dengan tingkat pengaruh sebesar 71,5%. Hal ini menunjukan kinerja buau semakin ada akan semakin meninghkatkan kinerja oeawai di Sekolah Tinggi Penerbangan Indoensia.
Optimalisasi Star Rna V 1 Menggunakan Konsep Point Of Merge di Wilayah Terminal Airspace Bandar Udara Soekarno Hatta
Authors: Pangsa Rizkina Aswia  , Dwi Lestary
Published: September 2024

Hasil Temuan pra penelitian di terminal airspace Bandara Soekarno Hatta terdapat sebaran pergerakanpesawat yang tidak merata sehingga hal tersebut berakibat pada waktu kedatangan pesawat di entry point terminal airspace sangat sempit terutama saat peak haur. Teknik pengaturan saat ini menggunakan radar vektor dan holding yang dikombinasikan dengan STAR RNAV 1. Eurocontrol Experimental center (EEC) mengembangkan sebuah penelitian untuk mengetahui konsep pengatuean seperti apa yang sesuai dengan kondisi lalu lintas udara saat ini. Penelitian tersebut melahirkan sebuah konsep pengaturan yang dinamakan dengan konsep point of marge. Kemudian beberapa negara di Eropa mencoba untuk mengimplementasikan konsep pengaturan yang dinamakan dengan konsep ini dan hasilnya cukup baik. Tujuan dari penelitian ini yaitu ingin mengetshui apakah konsep point of marge (POM) dapat diterapkan di Terminal Airspace Bandar Udara Soekarno Hatta Jakarta yang bertujuan untuk optimalisasi STAR RNAV 1 yang selama ini telah dioperasikan. Penelitian dilakukan dengan simulasi mengunakan Real Time Simulator. Dari hasil analisis didapati pengurangan beban kerja ATC 1 - 2 tingkat dibandingkan konsep pengaturan saat ini. Selain itu beban komunikasi dapat berkurang 20-23%  yang disebabkan karena tidak adanya lagi instruksi untuk merubah arah pesawat dan holding. Flaying time pesawat saat berada di wilayah terminal airspace dapa berkurang 3 - 5 menit.
Rancangan Antena Vertikal 1/4 Dengan Groundplane Untuk Frekuensi HF 18 MHZ - 21 MHZ Pada Komunikasi Penerbangan Long-Range
Authors: R. Sjoni Slamet  , Feti Fatonah  , Istiqomassari Nirma Nasyrianti
Published: September 2024

Komunikasi merupakan salah satu syarat penting yang harus dipenuhi ketersediannya dalam dunia penerbangan untuk menjamin keselamatan selama proses penerbangan. Salah satu layanan komunikasi yang di berikan dalam dunia penerbangan adalah layanan komunikasi jarak jauh. Antena sebagai transmitter-receiver dalam proses komunikasi berbagai macam bentuknya. Pada tugas akhir ini akan dibahas mengenai rancangan antena vertikal 1/4 dengan groundplane untuk frekuensi 18 MHz - 21 MHz pada komunikasi penerbangan long-range yang berfungsi sebagai antena transmitter-receiver. Rancangan antena vertikal 1/4 memiliki kretia bentuk antena yang sama panjang pada sisi vertikal dan radialnya. Dikarenakan rancangan antena vertikal 1/4 digunakan pada frekuensi HF, maka antena ini memiliki keterbatasan pada dimensi antenanya. Untuk itu digunakan penambahan loading coil(kumparan yang befungsi memperpanjang antena) pada sisi radial dan vertikal namun secar fisik mengurangi panjang antena. dengan begitu didapatkan suati hasil rancangan antena yang dapat digunakan pada semua frekuensi dari 18 MHz - 21 HMz, dengan hasil terbaik didapatkan pada frekuensi tengah 19.5 MHz dengan nilai return loss sebesar -24.176 dB dan VSWR 1.148.
The Operation of Moe: A Discourse Practice of Cyber Nationalism
Authors: Wang Lingyu
Published: September 2024

Unlike the previous cyber-nationalism events characterized by anger and hatred, the "Panda Ya Ya" incident highlights a special form of "soft emotion." This paper focuses on the common representation of this soft emotion in both self-media and official media discourse practices: moe. Through Fairclough's discourse analysis, the specific mechanisms of its operation are explored to understand the emotional motivations in cyber nationalism. The study finds that at the levels of representation and style, the "moe discourse" in the Ya Ya incident is co-created by self-media and official media as: floating factual evidence, repeatedly performed legitimacy, and normalized political figures. However, there are characteristic differences in "time-space representation" and register between the two. The operation of moe discourse is premised on human participation, with the relationship between moe objects and humans essentially being "agented agency." Finally, the soft emotion manifested by moe discourse exhibits more significant network characteristics, relying on more universal human values, and more closely resembling the fulfillment of emotional needs. This can be viewed as a new, more powerful "commonality" resource in the development of cyber-nationalism. However, the operation of soft emotions in cyber-nationalism often remains in a state of "unfinished" without a directed outcome, becoming a kind of "emotional machine running idle."
Erosion and Remodeling: New Alienation of User Subjects Led by Intelligent Algorithms
Authors: Sun Muting , Ji Naye
Published: September 2024

As the core technological means of today's artificial intelligence products, intelligent algorithms have become an indispensable tool for human development. They have led the progress of the intelligent era, fully demonstrating the powerful charm and infinite possibilities of technology, and depicting a hopeful intelligent future. However, while bringing convenience and imagination to users, it also makes them objects dominated by intelligent technology, gradually losing their independence and creativity as humans, losing their ability to criticize and think deeply, and causing a series of inevitable alienation problems that cannot be ignored. This article uses qualitative research methods to conduct in-depth interviews with respondents, extract their attitudes and opinions towards one of the artificial intelligence technologies - algorithms, and organize and analyze them. The phenomenon of "new alienation" brought about by reshaping algorithms is based on users' real thinking and more accurate needs, breaking the constraints of intelligence and adding benefits to the development of algorithms.
A New Demon after Collapse: Jewish Social Media Images in the Israeli Palestinian ConflictShort Videos' Analysis Based on TikTok
Authors: Lai Xiangwu , Zhang Tiange
Published: September 2024

From over two thousand years of exile history to post World War II Holocaust literature and film and television dramas, Jews have always appeared in various media as innocent victims with a mix of sadness and resilience, even making the "Jewish stance" somewhat politically correct. This article is based on the new round of Palestinian Israeli conflict that broke out on October 7, 2023. The research object is 729 short video data crawled on social media TikTok. Through analyzing the overall attitudes towards Jews presented in the videos, it is found that the ratio of positive and negative attitudes is about 1:12, and "genocide", "war criminals", and "terrorism" are the majority of accusations against Israeli Jews in the videos. The large number of negative evaluations on social media presented in the research conclusion strongly contrasts with the stereotypical impression of Jews in past media expressions. This finding is crucial for China's future diplomatic practice and how to enhance its ability to guide international public opinion.
Exploring the Design Concept of Cultural and Creative Products of Intangible Cultural Heritage Chinese Linen from the Perspective of Dynamic Inheritance
Authors: Xiao Zhiwei
Published: September 2024

As one of the oldest textiles in history, the Chinese Linen weaving technique was included in the second batch of intangible cultural heritage lists as early as 2008. Chinese Linen, which was once inseparable from people's lives, has had its living space squeezed due to the acceleration of industrialization and its own technological limitations. On the premise of clarifying the artistic characteristics and performance attributes of Chinese Linen, this article explores the design ideas and methods of intangible cultural heritage of Chinese Linen in cultural and creative products from the perspective of dynamic inheritance. Through the four dimensions of intangible cultural heritage dyeing, texture reconstruction, material splicing, and three-dimensional shaping, the design practice of intangible cultural heritage Chinese Linen is carried out, and the design method of Chinese Linen cultural and creative products is constructed, thus proposing effective ideas and paths for the dynamic inheritance of intangible cultural heritage Chinese Linen.
Analysis of the Role and Guidance of Art Management in Music Education in Chinese Primary and Secondary Schools
Authors: He Sirui
Published: September 2024

In recent years, China has demonstrated a growing commitment to the aesthetic education of young people, with primary and secondary schools implementing a range of art activities. This paper, through the methods of literature review and case study, seeks to examine the theories of art management and art education. It analyses the role of aesthetic education in fostering the holistic development of young people and enhancing the vitality of social aesthetics through case studies. The paper discusses the commonality, intersection and complementary between the two disciplines, and considers the specific practical methods and significance of the combination of them. In combination with three case studies, and in the context of music education in Chinese public primary and secondary schools, this study will discuss the role of arts organizations in establishing new paths and methods of education, exploring innovative models of classroom practice, and effectively increasing the popularity of high-level music education. Art organizations and schools fulfil their respective roles and strengths, ranging from teaching and research to practice, and collaborating to enhance the aesthetic literacy and creativity of Chinese youth.
The Positive Impact of Music Education on the Attention of Children with ADHD
Authors: Chen Jiashun
Published: September 2024

Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent developmental disorder that typically manifests in childhood, which is characterized by difficulties in attention, hyperactivity, and impulsivity. Therefore, children with ADHD have no difficulties in understanding knowledge, but due to their hyperactivity, they face significant obstacles in acquiring it. The specific manifestations of ADHD in children include hyperactivity, lack of attention, and overly active thoughts, which prevent them from focusing and learning for extended periods. This study explores the improvement of ADHD children's condition through music education, which has significant practical implications for promoting their learning abilities and cognitive methods. By collecting and analyzing previous researches, this paper summarizes the positive impact of music education on children with ADHD. This paper shows that music can improve mental and emotional states, alter children's moods, regulate thinking patterns, and enrich the brain's cognitive modes. Personalized music education proves to be effective and practical in reducing stress during learning and in crisis intervention.
Research on Regional Culture-enabled Ceramic-based Cultural and Creative Product Design
Authors: Zhang Xiaonan
Published: September 2024

Regional culture is of great significance to the design of cultural and creative products. Regional cultural elements empower product design, on the one hand, they can promote the inheritance and innovative development of regional culture; on the other hand, they can design cultural and creative products with both historical and cultural traditions and in line with modern aesthetics. Currently, cultural and creative products are hot, but not many ceramic cultural and creative products are practical, artistic and cultural at the same time. Therefore, this paper explores the combination of regional culture and ceramic cultural and creative product design, and explores how regional culture can empower ceramic cultural and creative product design through the literature research method and case analysis method. What is more, it also puts forward the current problems including design homogenisation and lack of cultural connotation and practicality in the design of ceramic cultural and creative products, and puts forward coping strategies to further improve the regional cultural characteristics of ceramic cultural and creative product design, like the introduction of design talent, according to the group demand for design optimization.
Exploring the Different Interpretations of Shijing in Kongzi Shilun and Mao Poetry from Foucaults Notion of the Author Function
Authors: Wang Shiqu
Published: September 2024

Foucault's notion of "Author Theory" was proposed after Barthes shouted that "the author is dead". Foucault believed that we should not only focus on the problem of the disappearance of the empty author, but also pay attention to the formal functions released with the disappearance of the author of the text, that is, the functional meaning of the author. Foucault's theory of "author function" has profound significance for modern literature, and also provides enlightenment for human research on early Chinese literature. Over the years, scholars have interpreted Shijing in many different ways. As one of the most respected interpretations of Shijing for more than 2,000 years, Mao Poetry represents the mainstream view of the academic community to a certain extent, and its historicized interpretation of poetry has a decisive influence in the literary world. Although Kongzi shilun has not been circulated in the world and was unearthed relatively late, its interpretation focusing on moral aspects has provided a new perspective for the academic community to understand poems. This article compares the interpretations of Shijing in Mao Poetry and Kongzi shilun, and explores the reasons for the different interpretations, namely the lack of the writing environment of Shijing, and combines with the two main ideological characteristics of the theory of "author function" to study the fluidity characteristics reflected in different interpretations of Shijing and the problem of "breaking a stanza off [from its context] to generate meaning" in the application of Shijing.
Role of Fourier transform in quantum mechanics: applications and implications
Authors: Lyu Yuhuan
Published: September 2024

The Fourier transform, as a fundamental mathematical tool, plays a pivotal role in quantum mechanics. Its significance extends to wave function analysis, solving the Schrdinger equation, and elucidating the relationship between position and momentum. In this review article, the primary objective is to summarize the diverse applications of the Fourier transform in quantum mechanics. This paper will delve into key applications, highlighting the uncertainty principle, the Planck-Einstein relation, and the Fourier transform solution of the Schrdinger equation. These theorems and relationships not only facilitate the mathematical manipulation of quantum states but also lay the theoretical foundation of quantum mechanics. By exploring these critical aspects, the author aims to provide a comprehensive understanding of how the Fourier transform underpins the core principles of quantum theory, offering valuable insights into the wave particle duality and the probabilistic nature of quantum systems. This discussion will emphasize the essential nature of the Fourier transform in both theoretical development and practical problem-solving within quantum mechanics
Behavior and design of earthquake-resistant concrete structures
Authors: Bian Jiangning
Published: September 2024

Earthquakes, as one of the primary natural disasters, cause significant destruction to building structures. Historically, the collapse of buildings due to earthquakes has resulted in numerous casualties and economic losses. This paper, through a method of literature review, explores the mechanisms of damage to concrete structures under the action of an earthquake and presents the principles of earthquake-resistant design. It analyzes how factors such as the mechanical properties of structural materials, the form of the structure, the strength of connection nodes, and the conditions of the foundation affect structural damage. It proposes measures to enhance the seismic performance of concrete structures through ductility design, strength design, uniform design, and the strategy of multiple lines of defense. This study holds significant implications for the construction industry by offering a systematic set of earthquake-resistant design principles and strategies which can enhance the seismic resilience of existing and future structures, mitigating the damage caused by earthquakes. Moreover, for society at large, this research underscores the importance of reducing seismic disaster risks through scientific design, contributing to the protection of people's lives and property, and promoting sustainable societal development.
Machine learning in geography education: Evaluating student performance in rural china
Authors: Gong Wenteng
Published: September 2024

The disparity in the development and application of educational resources between urban and rural areas is pronounced, with rural students often encountering significant challenges in acquiring geographic knowledge and developing spatial cognitive skills due to their geographical isolation and limited access to educational resources. This study aims to investigate the effectiveness of geography education resource development in rural areas by examining the influence of various educational resource characteristics on students' scores in geography education. Through the application of data analysis and machine learning predictive methods, this research explores the impact of 13 variables, including gender, age, parental education level, family background, internet accessibility, outdoor practical activities, and family outdoor travel frequency. These factors were modeled and assessed using a range of machine learning algorithms. The findings reveal differential impacts of these characteristics on students' scores in geography education, with models such as Random Forest and XGBoost demonstrating superior performance in predicting scores in geography courses. This research provides empirical data and a scientific framework to support the optimization of geography education resources in rural areas, offering theoretical and practical insights for advancing educational equity and fostering local socioeconomic development.
Performance and accuracy of Python distributed neural network training frameworks: Spark vs. TensorFlow in big data modeling and prediction
Authors: He Minghao
Published: September 2024

The rapid proliferation of big data across various industries, such as healthcare, finance, and social media, has created an urgent need for robust and efficient distributed neural network training frameworks. These frameworks must handle vast volumes of data while ensuring high performance and accuracy in machine learning tasks. As organizations increasingly rely on machine learning models to extract actionable insights from big data, selecting the right framework becomes critical. This paper provides a comprehensive comparison of two leading distributed neural network training frameworks: Apache Spark and TensorFlow. These frameworks are widely adopted due to their scalability and flexibility in handling complex data-driven tasks. The study evaluates their performance and accuracy in big data modeling and prediction, focusing on key metrics such as training speed, model accuracy, resource utilization, and scalability. Utilizing datasets that mirror real-world applications, the study includes thorough data preprocessing, model construction, and distributed training experiments across both frameworks. The findings reveal that while TensorFlow achieves superior model accuracy, Apache Spark demonstrates better scalability and resource efficiency, particularly in large-scale data environments. These insights offer valuable guidance for researchers and industry practitioners in selecting the most appropriate framework for their specific big data applications, ensuring optimal performance and resource management.
Weather prediction using CNN-LSTM for time series analysis: A case study on Delhi temperature data
Authors: Li Bangyu , Qian Yang
Published: September 2024

As global climate change intensifies, accurate weather forecasting is increasingly crucial for sectors such as agriculture, energy management, and environmental protection. Traditional methods, which rely on physical and statistical models, often struggle with complex, nonlinear, and time-varying data, underscoring the need for more advanced techniques. This study explores a hybrid CNN-LSTM model to enhance temperature forecasting accuracy for the Delhi region, using historical meteorological data from 1996 to 2017. We employed both direct and indirect methods, including comprehensive data preprocessing and exploratory analysis, to construct and train our model. The CNN component effectively extracts spatial features, while the LSTM captures temporal dependencies, leading to improved prediction accuracy. Experimental results indicate that the CNN-LSTM model significantly outperforms traditional forecasting methods in terms of both accuracy and stability, with a mean square error (MSE) of 3.26217 and a root mean square error (RMSE) of 1.80615. The hybrid model demonstrates its potential as a robust tool for temperature prediction, offering valuable insights for meteorological forecasting and related fields. Future research should focus on optimizing model architecture, exploring additional feature extraction techniques, and addressing challenges such as overfitting and computational complexity. This approach not only advances temperature forecasting but also provides a foundation for applying deep learning to other time series forecasting tasks.
A study of satellite network based on a comprehensive analysis
Authors: Zhao Yang
Published: September 2024

Satellite networks have emerged as a crucial component of modern communication systems. Historically, traditional terrestrial communication networks faced limitations in reaching remote and isolated areas. Conversely, Satellite networks possess the ability to provide coverage over vast geographical regions, including areas where laying terrestrial infrastructure is impractical or prohibitively expensive. The development of satellite networks was driven by the increasing demand for global connectivity, enabling seamless communication across various applications such as navigation, remote sensing, weather monitoring, and telecommunications. Moreover, advancements in technology have made satellite networks more efficient and capable. The launch of smaller yet more powerful satellites has reduced costs while increasing data transmission capacity and speed. They also play a vital role in disaster management and emergency response. This paper mainly focuses on analyzing the advantages and disadvantages of satellite networks along with several challenges encountered during their application in different fields. Considering that satellite network technology continues to develop at a significant pace, this study will also discuss future trends and make predictions accordingly. Therefore, through diverse analytical perspectives, this research demonstrates that satellite networks have emerged as critical infrastructure in the modern digital era while highlighting their highly promising prospectsa novel approach often overlooked by existing scientific literaturethus providing ample motivation for scientists to explore this domain.
An innovative mobile app for educating teens and young adults about reproductive health and wellness including sexually transmitted infections, pregnancy and contraception
Authors: Rosenberger Kelly D. , Jones Krista L. , Walsh Susan M. , Monahan Laura , Park Summer
Published: September 2024

Objective: The authors studied the use of a new mobile app technology platform to offer easy access to accurate, evidence-based comprehensive reproductive health information with links to resources for teens and young adults to enhance wellness and reduce the risks of HIV, other STIs, pregnancy, and complications such as infertility and pelvic inflammatory disease.Methods: The Healthy Teens Mobile App was designed, developed, tested, and implemented to deliver up-to-date sexual and reproductive health education based on science and written by experts. Initial testing was done for useability, readability and ease of navigation of the app.Results: Beta testing among teens, young adults, parents, health educators, and nurse clinicians (n = 32) revealed the app was valuable, engaging, and could be revised to improve flow and functionality. 60% strongly agreed and 40% agreed the app was valuable, with important information and resources on sexual health and wellbeing. 55% strongly agreed and 45% agreed the images improved the experience of using the app and the text size was adequate for readability. Other comments were utilized to enhance the app, add more images, and decrease the amount of white space on certain sections of the app. The app was released in June 2024 in both the Apple & Google App Stores.Conclusions: Utilizing a mobile app to delivery evidence-based sexual and reproductive health information for teens and young adults is practical and well accepted by teens, young adults, parents, health educators, and nurse clinicians. Plans are underway to disseminate the app widely. Future plans include translating the app into Spanish, French and other languages to promote global sexual and reproductive health and wellness and reduce the risks of HIV, other STIs, pregnancy, and complications such as infertility and pelvic inflammatory disease.
Composition and Potential Values of Species in the Agricultural Area of Kupang Indonesia
Authors: Gaol Mangadas Lumban , I Wayan Mudita
Published: September 2024

This research was conducted to investigate the composition and potential value of weeds species in an agricultural area of Kupang, Indonesia. Two sites (dry and wet site) were selected subjectively. In each site, three stands (100 m x 100 m) were placed subjectively and in each stand 25 plots (1 m x 1 m) were placed randomly (∑150 plots). In each plot, all weed present were recorded and their density and percentage cover calculated. Each species was grouped into broad-leaves, sedges, and grasses. To determine the potential value of the weeds, all weeds were grouped into whether they medicinal plants, animal feed or food ingredients. For each species, the number of individuals, dominance, frequency, and Importance Value Index (IVI) were calculated. Species diversity was also calculated using the Shannon-Wienner Diversity Index (H'). Overall, 46 weed species were found. The weeds with the highest IVI (>5.00%) were Panicum repens L (IVI 14.80%), Bolboschoenus maritimus L. Palla (IVI 10.32%), Alternanthera sessilis L (IVI 7.47%), Cyperus rotundus L, (IVI 6.97%), Digitaria ciliaris (IVI 6.69%), Cyperus elatus L (IVI 6.63%), and Ischaemum timorense Kunth (IVI 5.02%). In general, the composition of weeds between the dry and the wet sites were relatively different. Based on the number of species and diversity index, the weed community in the wet site was relatively higher than that in the dry site. Based on the IVI, the dry site tended to be dominated by grasses and broad leaves while the wet site tended to be dominated by sedges. Based on IVI, 42.80% of all the weed species present had the potential to be used as medicinal plants, 39.81% as animal feed, and 17.39% as human food. Overall, most weed species studied had the potential to be used as medicinal plants, animal feed, and food ingredients. The potential of this weed needs to be studied more deeply in the future, including their use as an alternative source of medicine and food, especially as demand increases in the future.
Role of Market Orientation on Competitiveness of Manufacturing Firms in Kenya
Authors: Gogo John G , Deya Jared , Odollo Lawrence
Published: September 2024

In order to be competitive, manufacturing firms have to embrace and undertake strategies that will make them perform exceedingly better than their rivals in the market. Such kind of strategies to be undertaken calls for the firm to make decisions and have principles that will direct their activities and generate a behaviour that is intended to propel the firm in the market-place. In this regard the main focus of this study was to examine the role of market orientation and moderating influence that top management commitment have on competitiveness of manufacturing firms in Kenya. Theoretically, this study was grounded on resource-based and upper echelon theories, and a descriptive survey design was adopted, which targeted 134 manufacturing firms registered members of the Machakos and Central Kenya Chapters of Kenya Association of Manufacturers. A census was undertaken of all the 134 firms that are members of the two chapters. Primary data was collected using a semi-structured questionnaire that were semi-structured questionnaire that was administered to the Chief Executive Officers/Directors of the firms under the study of which both quantitative and qualitative data was generated. To determine the relationship that exist between the variables regression analysis was used while Analysis of Variance (ANOVA) was used to determine the relationship between independent and dependent variables. The overall study findings revealed that market orientation had a positive and statistically significant role on competitiveness of manufacturing firms in Kenya and top management commitment had a positive moderating role. The study findings also noted that firms that are market-oriented have developed mechanisms that gather information about the customer continuously and are able to implement various strategies aimed at improving their competitiveness. Based on the findings, the study concluded that the competitiveness of manufacturing firms in Kenya depends not only on how they determine the needs and wants of the consumer but also on how effectively and efficiently they deliver satisfaction to them.
Analysis of the General Situation of Organic Fertilizer in China
Authors: Sun Wen , Zhang Lulu
Published: September 2024

Organic fertilizers are crucial to China's agriculture, significantly enhancing soil fertility and sustainability. Derived from sources like livestock manure, crop residues, and green manure, these fertilizers improve soil structure, water retention, and nutrient availability, thus boosting crop yields and soil health. Despite their benefits, challenges such as variability in quality, application efficiency, and balancing with inorganic fertilizers remain. Government policies and ongoing research are addressing these issues to optimize the use of organic fertilizers and support sustainable agricultural practices.
Study on the Effect of Ce Doping Concentration on the Kinetics of Graphene Formation
Authors: Cen Weifu , He Xin
Published: September 2024

The thermodynamic and kinetic processes of Ce-doped graphene were simulated by the method of first-principles molecular dynamics. The structural optimization and annealing, the kinetic properties of Ce-doped graphene composites were calculated by the classical mechanics Forcite module. The results show that with the increase of Ce doping concentration, the order of the radial distribution function in the system increases and presents a state of aggregation. According to the analysis of mean azimuth shift function, the mean square displacement (MSD) value of Ce doped graphene composite increases with the increase of doping concentration, and the corresponding diffusion coefficient also increases. The research of gyration radius and gyration evolution radius shows that with the increase of temperature and doping concentration, the gyration evolution radius of atoms becomes shorter and shorter, indicating that the interatomic force in the system is enhanced and the range of activity is shortened. Combined with the analysis of local cluster structure, it can be seen that the maximum cluster size and number of Ce doped graphene composites do not change significantly with the increase of doping concentration, indicating that Ce atom doping will improve the order in the system, increase the diffusion coefficient and enhance the interaction force between atoms. The paper aims to reduce the error between the theoretical properties and the actual properties, and provide a theoretical basis for the development of new materials with excellent properties.
A Review on Sludge Drying after High Pressure Filter Pressing
Authors: Zhao Shengwen , Luo Litao , Wei Yunyun
Published: September 2024

Sludge drying is a key step in municipal sludge treatment. After mechanical dewatering, the water content of sludge is usually between 50% and 70%, which needs further drying. The main drying technologies include thermal drying, solar drying, ultrasonic drying and microwave drying, among which thermal drying technology is the most mature. Research shows that low-temperature drying technology has obvious advantages in reducing the release of harmful substances, energy consumption and cost. In terms of technology application, domestic sludge drying process is mainly divided into direct drying and indirect drying. Direct drying directly evaporates water through high-temperature gas, while indirect drying makes use of heat conduction effect to contact with high-temperature media. At present, indirect drying technology is mainly used in China, such as paddle type, disc type and thin layer drying. In particular, the low-temperature heat pump drying technology excels in terms of safety, footprint and energy consumption, with its ability to operate at lower temperatures, reduce the release of hazardous gases, and achieve environmental and economic benefits in a closed-cycle mode. This technology is suitable for small and medium-sized wastewater treatment plants and shows clear advantages in cases of budgetary constraints.
Research on The Influence of Continous Damping Control Shock Absorber on Frequency Response Function of Spindle Coupled Road Simulation Test Bench
Authors: Wang Yongzhe , Yang Guang , He Zhixiong , Zhao Zhiqiang
Published: September 2024

When the semi-active suspension is tested based on the 6-DOF spindle coupled road simulation test bench, the traditional test method is no longer applicable, because the continous damping control shock absorber of the original vehicle controller cannot be used and the overall nonlinear of the system is stronger. At present, there are few related engineering applications in the industry. This paper introduces the current reproduction technology of semi-active suspension on the 6-DOF spindle coupled road simulation bench and researches the difference of the system frequency response function by excitation of continous damping control shock absorber with different control current.
FATORES ESCOLARES E TAXA DE ABANDONO DO ENSINO MÉDIO EM MINAS GERAIS
Authors: Queiroz Mylena Dias de , Riani Juliana de Lucena Ruas
Published: September 2024

O objetivo do artigo é verificar em que medida as características da escola se associam à ocorrência do abandono escolar no 1º ano do ensino médio da rede estadual de Minas Gerais. Para tal, foi realizada uma abortagem quantitativa a partir da regressão quantílica com os dados do Censo Escolar e do Programa de Avaliação da Rede Pública de Educação Básica (PROEB). Os resultados mostraram que os fatores escolares importam, de modo que bom clima escolar, turmas menores, maior média de horas-aula diária contribuem para a redução do abandono. Entretanto, maior distorção idade-série e menor nível socioeconômico atuam na direção de aumentar tais taxas.
TEACHER’S CHALLENGE IN UTILIZING WORD WALL FOR PROCEDURAL TEXT LEARNING
Authors: Azizah Nur , Sugesti Ikariya , Adiantika Hanif Nurcholis
Published: September 2024

Word Wall is an innovative educational tool that supports teachers and students by incorporating digital-based learning media into the classroom environment. This study aims to explore the challenges encountered by teachers when using Word Wall to facilitate the learning of procedural texts. Conducted at a junior high school in Cirebon, the study focuses on 8th grade English teachers who implement Word Wall as a teaching medium. The study employs a qualitative methodology, utilizing interviews and document analysis to gather data. The findings reveal that the challenges faced by teachers in utilizing Word Wall can be divided into two primary categories. The first category involves the limitations associated with using Word Wall, such as technical difficulties and the necessity for teachers to develop creative instructional strategies. The second category highlights the benefits of Word Wall, emphasizing its efficiency and interactivity, which contribute to creating a more flexible and engaging learning environment for students.This study provides valuable insights into the practicalities of integrating digital tools in education, offering recommendations for enhancing their effective use in teaching procedural texts.
Analysis of interest expense deduction in transfer pricing dispute in Indonesia
Authors: Nasikhudin Nasikhudin , Supriyadi Supriyadi
Published: September 2024

This study provides a comprehensive examination of interest expense disputes within the context of transfer pricing in Indonesia. Multinational enterprises frequently employ transfer pricing mechanisms to reduce their tax obligations, often leading to legal challenges in tax courts. The research employs a qualitative methodology, focusing on a detailed analysis of several tax court verdicts related to interest expense disputes. The primary dataset comprises appellate verdicts available from the official tax court repository. The study identifies key factors influencing the outcomes of such disputes, including the strength of the evidence presented, the consistency between recorded contracts and actual economic conditions, coherence between transfer pricing documentation and real-world practices, the legitimacy and rationality of the loan arrangements, utilization of reliable comparability data, and substantive arguments concerning the applicability of the Debt-to-Equity Ratio (DER) for assessing interest expense reasonableness. Furthermore, the research underscores crucial considerations for taxpayers, such as the role of DER in determining expense reasonableness, the regulatory framework governing interest-free loans, methodologies for applying the arm’s length principle in interest expense transactions, and the importance of meticulous documentation in transfer pricing files (TP Documentation).
An Experimental Study Analysis of The Suitability of Sensible Heat Storage Materials for Solar Cooking Under Algerian Sahara Conditions
Authors: Benbaha Assam , Yettou Fatiha , Gama Amor , Azoui Boubekeur
Published: September 2024

Solar power stands as a crucially sustainable energy source, primarily harnessed for heating and generating power. Various energy storage materials exist, enabling the improvement of diverse solar heating systems' performance. In this study, we've experimentally examined the thermal storage capabilities of small masonry brick pieces within a box-type solar cooker. This material was utilized atop the cooking plate in the tested cooker. The authors focused on making box cookers more efficient without breaking the bank, particularly benefiting those in remote areas. They explored using cost-effective heat storage materials, making it accessible even to those with limited education. Cooking trials showed promising results, indicating the practicality of affordable energy storage materials. These findings hint at the possibility of widespread adoption of the tested model. The cooker boasts a thermal efficiency of approximately 36.8%, a cooking power of around 61.10 W, and a thermal storage capacity of roughly 7 hours per day. The estimated cost for the cooker tested comes in at about $75.
Optimizing Hybrid Perovskites for High-Efficiency Solar Energy
Authors: Nasri Wissem , Hadri Baghdad , Boukortt Nour El Islam , Sebbah Yacine
Published: September 2024

Our research explores hybrid perovskite solar cells, promising low-cost and high-efficiency photovoltaic solutions. Despite challenges, optimizations like interface engineering enhance performance for future commercial use. Study of different physical parameters with the help of SILVACO and MATLAB Simulink for cell modeling. Long-term stability and cost reductions are among the most significant challenges to broad commercialization Future research will be around trying different parameter values. There searcher said this project represents an important step forward in the development of hybrid perovskite solar cells, which could be a key partof a new wave of clean energy sources that are needed as global consumption levels continue to rise. The solar cells studied herein are detailed by the six-scan structure: Glass/Indium Tin Oxide (ITO) / Electron Transport Layer - (N layer) - Active Layer (Perovskite) - Hole transport_layer (Payer) - Metal Electrode; Glass/ITO/TiO2/Pero_Aardes Spiro-OMeTAD/Au. It delivers the energy conversion efficiency of 19.12% with a fill factor (FF) of 80.53%, an open-circuit voltage at Voc =1.14 Vandshort circuit current density Jsc=20.88 mA/cm²,respectively The active layer is a 0.25 -thick CH3NH3PbI3 perovskite, and the TiO2 layer thickness was set at 0.02
Feasibility Study of a Wind-Diesel Hybrid System in a Remote Site on Southern of Algeria
Authors: Kheder-Haddouche Sabiha , Daaou Nedjari Hafida , Adjiri Salima
Published: September 2024

In this study, we present an autonomous solution for a village located north of Timimoun in Algeria, with around thirty households. As the region has good wind potential with an average annual speed of around 5m/s, this resource is used to develop a hybrid wind/diesel/battery system. A technical-economic analysis is carried out using the HOMER optimization tool to determine the optimal solution. We considered a range of load sizes, from 0.9 kWh/d to 3.6 kWh/day, and a range of wind speeds, from 3.99 m/s to 5.42 m/s at 10 m from the ground. Several wind turbines with powers ranging from 1 kW to 10 kW have been tested.The best combination is given by the wind/diesel/battery system operating with the WES 5 Tulipo turbine with a rated power of 2.6 kW, with a diesel price equal to 0.22 $/kWh. This solution reduces the COE to 0.569 $/kWh and renewable fraction is maximum (86%). In addition, the emissions of CO2, CO and SO2 decrease to less than 70% of the emissions of Diesel power system. The sensitivity study shows that the wind/diesel/battery system is optimal for any wind speed greater than 3.5 m/s whatever the price of diesel.
IoT Weather Station Optimized for Energy Efficiency
Authors: Rennane Ahmed , Benmahmoud Fateh , Djoudi Abdelhak , Dali Ali , Cherif Abderrahmene Tayeb
Published: September 2024

This work presents an economical IoT weather station with energy-efficient capabilities. It offers a multi-sensor platform, with balanced functionality and power optimization that ensures an extended- wireless range. The developed system features diverse sensors measuring temperature, humidity, pressure and light intensity. Employing power-saving techniques like sleep/wake cycles and controlled sampling rates makes the station economical and power-efficient. This setup allows distant observation via a web browser interface, addressing the challenge of low power and extended-range deployments of embedded systems. The adopted energy optimization strategy enabled autonomous long-range functioning, with real-time data collection and visualization. The recoded peak power consumption is only 2022 A for all the embedded operations.
Heat transfer enhancement in a large-scale Ti-Mn based metal hydride storage reactor with nanofluids using open source CFD software
Authors: Babou Allal , Kerboua Ziari Yasmina , Dadda Bachir , Chergui Toufik , Kerkoub Youcef , Brakni Oumaima
Published: September 2024

Metals can safely store hydrogen with high energy densities in the form of metal hydrides through an exothermic process. However, the slow hydrogen absorption kinetics significantly decreases its storage rate. Ensuring efficient heat dissipation from the metal hydride bed can result in a faster charging rate, which in turn improves the storage performance. The objective of this work is to improve the rate of heat and mass transfer in a Ti-Mn-based metal hydrides reactor for large-scale applications using a 3D model. Finite volume simulations with OpenFOAM software were conducted to investigate the influence of various parameters on the hydride reactors’ performance. Water-based alumina (Al2O3/H2O) nanofluid with varying volume fractions up to 5% are used as heat transfer fluids. The results show that accelerating the coolant flow velocity, decreasing its inlet temperature, and increasing the hydrogen supply pressure contribute further to enhancing thermal performance. Compared to pure water, the Al2O3/H2O nanofluid with 5 vol % can improve heat transfer by approximately 11.5%. This can reduce the time needed to reach 90% storage by 18.1%. Also, the pressure drop throughout the hydride reactor at different flow velocities is slightly greater than that in pure water.
Damage Assessment of Sheet Molding Compound Composites
Authors: Kersani Malika , Bouabdallah Ahcene
Published: September 2024

The investigation focuses on the initiation and progression of damage in SMC (Sheet Moulding Compound) composites subjected to tension. These composites consist of a polyester matrix reinforced with randomly oriented short C glass fibers. Damage monitoring is conducted using the acoustic emission technique. To assess the influence of surface density on damage in SMC, three series of composites with surface concentrations of 300 g/m2, 450 g/m2, and 600 g/m2 are tested. Based on stress-strain curves, the main mechanical properties of the different composites are determined. Additionally, the analysis of the collected acoustic emission data enabled us to determine the damage thresholds in the different studied composites. While tensile tests and the acoustic emission technique allowed us to determine important composite parameters, further research is necessary to comprehensively discern the various damage modes.