bluuebunny/crossref_metadata_2025 huggingface dataset:
Encefalitis Autoinmune en Pediatría. Receptor Antirreceptor N-metil D-aspartato (Anti-R-NMDA)
Authors: Arita Rivera Iliana Beatriz , Zúniga García Carol Josseline
Published: May 2024

La encefalitis es un desorden inflamatorio del encéfalo que deriva en un estado mental alterado, crisis convulsivas, déficits neurológicos focales, acompañado usualmente de signos de inflamación en el líquido cefalorraquídeo y hallazgos en la resonancia magnética que pueden ir desde normalidad hasta anormalidades extensas. El anticuerpo anti RNMDA es el que origina la mayoría de los casos de encefalitis autoinmune en niños y adultos jóvenes, seguido por el anticuerpo anti LGI1 de presentación en el adulto. Se caracterizan por estar frecuentemente asociadas a algún tumor, responder a la inmunoterapia y provocar daños cerebrales variables que se manifiestan como cuadros clínicos polimorfos (desde la disfunción límbica hasta una encefalopatía multifocal o difusa). La prevalencia exacta de las encefalitis autoinmunes es incierta, existiendo un aumento importante del reporte de casos en los últimos 10 años, asociado al avance en la pesquisa de los anticuerpos contra un antígeno celular específico. Todas las encefalitis autoinmunes responden a terapia inmunomoduladora, generalmente la evolución a la mejoría es lenta y puede completarse en meses o incluso en un año o más. Revisaremos generalidades de la encefalitis autoinmune, su forma más común y discutiremos su enfoque diagnóstico y tratamiento.
Sustainable Development: Reality Or Myth?
Authors: Gorbanyov Vladimir А
Published: May 2024

Since the United Nations Environment Conference in Stockholm (1972), the concept of sustainable development has steadily made its way among individual scientists and international organizations. The apotheosis of this development was the adoption by the United Nations in 2015 of the 17 Sustainable Development Goals. However, many scientists and politicians were skeptical about the concept of sustainable development, since the results of implementing sustainable development in different countries were far from expected. Many decisions taken at the level of the UN and other international organizations turned out to be unfulfilled. In my opinion, as well as some other Russian scientists, the concept of sustainable development is an unrealistic project, it is a myth, although it is very positive and humane. Sustainable development goals can be achieved only by the most economically developed countries entering the era of post-industrialism. In other industrial and especially pre-industrial countries, that make up the vast majority of the world, achieving these goals is impossible. Since the environment is a single inextricable geosystem, sustainable development can only be achieved at the global level, which is not possible in the present and near future. However, sustainable development projects carried out in different countries are actually rational nature management in selected countries.
PubCast: A commentary on the role of hatcheries and stocking programs in salmon conservation and adapting ourselves to less‐than‐wild futures
Authors: Harrison Hannah L.
Published: May 2024

Authors: Hannah L. Harrison and Valerie Berseth

Hatcheries and stocking programs serve a variety of objectives, including the conservation of salmon populations. Much attention has been given to the importance of genetic integrity and adaptive capacity of salmon stocks, particularly as they interact with hatchery‐origin fish. Literature on hatchery and stocking programs has increasingly focused on genetic indicators of quality and success, with genetically ‘wild’ salmon valued over hatchery‐influenced salmon. However, conservation in the Anthropocene is challenging paradigms of wildness and definitions of conservation success. For salmon populations that exist on the ragged edge of climate change where threats are unlikely to be remediated to the status of ecologies past, definitions of ‘wild’ and role of conservation hatcheries and stocking becomes convoluted. If definitions of ‘wild’ or ‘natural’ salmon depend on salmon archetypes situated in historic ecologies, then what do salmon futures look like? In that context, we argue to expand from primarily genetic criteria for conservation stocking to additional criteria cognizant of hybrid ecosystems and future human‐salmon relationships. We draw on the concept of adaptive epistemologies within the context of conservation‐oriented hatchery and stocking programs to critically reflect on knowledge paradigms and values that underlie salmon conservation stocking efforts and the changing ecosystems in which they are situated. We critique ‘wild’ discourses rooted in western thought and make suggestions toward a reimagining of salmon conservation‐via‐hatchery in the Anthropocene that allows for expansive human‐salmon futures. Critically, we conclude with warnings against using the arguments in this paper as social permission to use hatcheries as a conservation panacea.

You can find the published version of this paper at Fish and Fisheries journal:
Condições e precarizações do fazer docente: implicações da COVID-19 nas práticas de professores alfabetizadores
Authors: Matos Wesley Santos de , Santos Fabrício de Paula , Franco Marco Antônio Melo
Published: May 2024

A pandemia de Covid-19 impulsionou mudanças significativas no setor educacional, forçando uma transição abrupta do ensino presencial para o remoto. Este estudo analisa as adaptações nas práticas docentes em escolas municipais de Contagem, Minas Gerais, com foco especial nos professores dos anos iniciais do ensino fundamental. O objetivo principal foi entender como esses educadores planejaram e executaram suas atividades pedagógicas para assegurar a continuidade do processo de alfabetização durante a crise. Foram coletados dados de 290 professores através de questionários, revelando uma discrepância significativa entre as diretrizes das autoridades educacionais e as condições reais dos docentes. Esse descompasso resultou em desafios no manejo de tecnologias digitais e na adaptação de métodos de ensino. Além disso, a falta de recursos adequados e de infraestrutura para o ensino à distância foi evidente, junto com as consideráveis dificuldades emocionais enfrentadas pelos professores. Este estudo destaca a necessidade urgente de políticas públicas que melhorem a formação dos professores em tecnologias educacionais e aprimorem a infraestrutura das escolas. Estas medidas são cruciais para mitigar as desigualdades educacionais e preparar o sistema educacional para enfrentar futuras crises que exigem modalidades de ensino não presenciais. A pesquisa também sugere a importância de uma maior colaboração entre os educadores e as autoridades para garantir que as transições se-am mais eficientes e menos disruptivas, enfatizando a necessidade de estratégias de ensino que sejam adaptativas e inclusivas, considerando as diversidades socioeconômicas dos estudantes. Por fim, o estuda aponta que a COVID-19 trouxe mudanças para o processo educacional, mas precisa ser cuidadosamente estudada, uma vez que, dependendo do uso que se faz, tende a fragilizar e a precarizar ainda mais, a educação no país.
GENETIC STUDIES FOR SOME YIELD-RELATED TRAITS IN OKRA (ABELMOSCHUS ESCULENTUS L.)
Authors: KHAN F , KAYNAT A , SAEED A , JAVAID T , IQBAL RA , LATIF A , NAWAZ MS , LATIF A , SIDDIQUI GM , HASSAN A , JAVED HM
Published: May 2024

Okra is a traditional vegetable famous for its nutritional value. It is a perfect villager's vegetable due to its robust nature, dietary fiber, and seed protein balance of both tryptophan and lysine. The research was carried out in the research area of the Department of Plant Breeding and Genetics, University of Agriculture Faisalabad. Cross combinations among 3 lines (Patel, Selection Super Green, and 19234) and 3 testers (IQRA-III, Perbhani Karanti, and Sabz Pari) were developed by using line × tester design. Crossed seeds along with parents were grown in the field under Randomized Complete Block Design (RCBD) with three replications. Data for various morphological traits was collected and analyzed statistically through analysis of variance and used to assess GCA, SCA, and gene action. Genotype 19234 exhibited maximum significant GCA (-11.4) for plant height in the negative direction and genotype Selection super Green proved a good general combiner for fruit weight, fruit diameter, and first flowering node, exhibiting values of 3.21, 1.191, and -0.89. IQRA-III (3.00), Patel (2.00), and Perbhani Karanti (1.11) exhibited significant GCA for number of fruits per plant. Line 19234 observed a good general combiner for crude fat (0.28), ash (5.43), and protein (0.39). Cross combination Patel × Perbhani exhibited the highest SCA for the number of fruits (7.78) followed by Selection Super Green × Sabz Pari (4.78) hence can be exploited for heterosis breeding. Cross combination Selection Super Green × Perbhani Karanti exhibited the highest significant SCA for plant height (-7.60) and Selection Super Green × IQRA-III displayed the maximum significant SCA value (2.26) for crude fat. Line Patel proved a good general combiner for most of the yield-related traits. Based on GCA and SCA, line 19234 can be used to enhance quality traits and cross combination Patel × Perbhani Karanti can be used to increase the number of fruits per plant.
La Relación de los Recursos Presupuestarios Sobre el Cumplimiento Tributario
Authors: Ortiz García Angel , Santiago Rodríguez Xiomara , Rivera Rivera Mary Lynne
Published: May 2024

Esta investigación examinó la relación entre los recursos presupuestarios y el cumplimiento tributario del Departamento de Hacienda de Puerto Rico del 2000 al 2020. La evasión contributiva es un problema constante en Puerto Rico, en la cual el gobierno obtiene menos recaudos para proveer bienes y servicios. El problema específico consiste en que el Departamento de Hacienda tiene limitados recursos presupuestarios para promover el cumplimiento tributario. La justificación de este estudio es que los líderes gubernamentales y profesionales de impuestos pueden validar la importancia de una adecuada asignación presupuestaria a las agencias fiscalizadoras de impuestos para promover el cumplimiento contributivo. Los objetivos de este estudio consisten en identificar la relación entre los recursos presupuestarios asignados al Departamento de Hacienda de Puerto Rico y el cumplimiento tributario. Este estudio es exploratorio, el cual utiliza una metodología descriptiva y correlativa sobre los presupuestos y recaudos de Departamento de Hacienda por un periodo de 20 años. Usando la teoría basada en recursos, el estudio analizó la relación de los presupuestos de tecnología, administración y recursos humanos asignados al Departamento de Hacienda sobre los recaudos contributivos. Los hallazgos presentan una relación significativa de los presupuestos de administración y tecnología con un efecto de rezago sobre la recaudación de ingresos tributarios. Los resultados validan la importancia de la tecnología para promover la eficiencia y reducir los recursos humanos para maximizar el cumplimiento contributivo. Los hallazgos son útiles para que los líderes organizacionales promuevan recursos presupuestarios adecuados, especialmente en tecnología, para promover el desempeño organizacional y reducir la evasión tributaria en beneficio de la economía y la comunidad.
Teamwork in a Multicultural Context: The Driver of Creativity
Authors: Wu Yi
Published: May 2024

This paper deeply explores the complex and dynamic relationship between team creativity and cultural factors and reveals how subtle cultural differences can play a dual role in shaping team creativity. Central to the study is an in-depth analysis of interactions between team members from different cultural backgrounds and how these interactions significantly influence the collective output of the team's creation. This detailed review of the extensive literature illustrates the important impact of team diversity, communication patterns, and leadership style on the profile shaping of team creativity. The center of the discussion is the dual nature of the organizational culture: it has both the potential to stimulate creativity within the team and the potential to inhibit it. Research shows that while cultural diversity brings unique perspectives and ideas that create mature environments for innovative thinking, it also presents significant challenges, including communication barriers and the generation of possible misunderstandings. Without skilled management, these problems can hamper the flow of ideas. Furthermore, this paper highlights the importance of fostering leadership styles and communication strategies for an open and supportive environment critical to thriving team creativity. In the text section, I integrate these findings into practical, actionable strategies that provide some feasible suggestions for organizations seeking to improve innovation. These strategies are deeply embedded in an understanding of cultural dynamics and aim to reform organizational practices to add some possibilities for us to achieve greater innovation and success in an increasingly diverse business world.
The Effects of Brand-self Connection on the Willingness to Pay a Price Premium: A New Look at the Consumerbrand Relationship in the Chinese Luxury Market
Authors: Ni Yiwei , Mu Yujia , Lu Mengyu , Wang Jingwen , Chen Zhiyi
Published: May 2024

Exploring brand-self connection as a tool for driving profitability is gaining traction among scholars and industry professionals. This study introduces and validates a conceptual model aimed at discerning the influence of brand-self connection on luxury consumers willingness to pay (WTP) a price premium. Based on survey data from 270 Chinese luxury consumers and analysis via SPSS 27.0, the results reveal that brand-self connection not only directly augments consumers WTP a price premium but also exerts an indirect influence through the mediating roles of brand experience and brand loyalty. Interestingly, though brand-related social media engagement emerges as a moderating factor in this relationship, its impact remains marginal within the luxury market context. Together, these findings illuminate the complex nuances of luxury consumer behavior, enriching brand management, consumer-brand relationships, and pricing strategy. Practitioners can harness these insights for strategic decision-making in the luxury market arena.
Factors that Influence Player Market Value in Different Position: Evidence from European Leagues
Authors: Rong Zhangyi , Wang Lujie , Xie Shengting
Published: May 2024

This research study delves into the intricate dynamics that influence player market values in various positions within European soccer leagues. Through the development and advancement of the soccer market industry and player health keeping. This study considered that soccer player's market value could be influenced by different factors or by different numbers of range nowadays compared with previous studies. By analyzing the newest version of player market value, influence factors of elite soccer players in season 2022/23 UEFA leagues. The analysis model analyzed a few key factors that influence the player's market value, such as age, goals, assists, and league. Simple/ Multiple regression models, T-tests, and ANOVA analysis are used in the examination. The research demonstrates that age plays a pivotal role, with players experiencing value growth during specific age ranges. League affiliation and performance metrics, particularly goals and assists, also emerge as significant drivers of market value. The study provides valuable insights for decision-makers within the soccer ecosystem, aiding in player management strategies and market navigation.
A Comparative Study of CAPM Based on the US Stock Market
Authors: Zhang Helena , Song Qifeng
Published: May 2024

The capital asset pricing model (CAPM) is a highly useful and relatively simple equation used in this study for calculating the volatilities, also known as beta, of different stocks in four different industries in the S&P 500 Index and a 1-year T-Bill. The beta values of the stocks in each industry were added together to find the total beta for each industry. An overall decreasing trend in industry beta values near the end of the 2022 can be seen for banking and media & entertainment, while transportation increased a little and retail remained relatively constant, with transportation having beta values closest to one. Changes in industries with beta values near one will better reflect the overall market, as the markets beta is assumed to be one. The purpose of this research is to compare the risks and sensitivities of these four industries after the COVID pandemic, and the results show that as the pandemic subsides, beta values have begun to shift closer towards one.
Risks and Countermeasures of Internet Consumer Financial Asset Securitization: A Case Study of Jingdong Baitiao
Authors: Zhang Zuming , Wen Yayuan , Li Yonghao , Wang Yunhong , Shen Yi , Yuan Xin
Published: May 2024

Asset securitization is one of the most important innovations in the financial field in recent decades. The introduction of this financial instrument enables commercial banks to have both functions as "fund lenders" and "fund sellers". JD Baitiao is the product of asset securitization and is the first Internet credit consumption product in Chinese industry. Due to the huge demand in the credit market, it has been popular among users since its establishment in 2014. We will give a basic introduction to of JD and JD financial asset securitization: the development process and an introduction to the fundamentals of the whole company, including the background of the development of JD Baitiao in financial aspect, as well as the benefits of its appearance in stimulating consumption by users on JDs platform. We further provide an analysis of the JD Baitiao, including its background, transaction process, asset pool composition, and credit enhancement arrangement. issuance, pricing, to trading, also with its quota application, repayment forms, as well as its risk control system for users. Next, through data and chart analysis, we analyze the various aspects of the securitization risks. Last, based on our analysis, we recommend several ways to improve issuance efficiency and risk management capabilities.
The Research on the Impact of Shadow Banking on Small and Medium-sized Enterprises in China
Authors: Niu Jiahao , Ren Lehan , Hu Chaofan
Published: May 2024

Because of the serious financial repression in China's financial system, the traditional commercial bank's credit is very large. It is difficult to reach small and medium-sized enterprises and industries restricted by credit policies. In order to solve this existing problem, those Independent of traditional commercial banks, not subject to or less supervision by the central bank, and capable of providing credit Institutions have emerged, traditionally known as shadow banks. Shadow banks have been quantitative easing money It played an important role in the implementation of the policy. This paper will explain China's shadow banking system from the introduction of shadow banking, the development of shadow banking in China and some of its impacts, as well as the introduction and analysis of special cases of shadow banking and the impact of shadow banking on small and medium-sized enterprises. This paper draws the following conclusions through research: With the growing development of shadow banking in China, China's shadow banking system is becoming increasingly complex, and small and medium-sized enterprises have gained more development opportunities due to the characteristics of high risk and high returns brought by shadow banking.
Unraveling Financial Markets: Deep Neural Network-Based Models for Stock Price Prediction
Authors: Li Mengting
Published: May 2024

This paper delves into the potential and challenges of leveraging deep neural networks (DNNs) in stock price forecasting. Traditional econometric models often grapple with the complexities of financial time series data, leading to the exploration of DNNs, especially architectures like Long Short-Term Memory (LSTM) networks, to capture intricate patterns in such data. While these networks present promising results, challenges such as model interpretability, non-stationarity of data, overfitting, and computational demands remain. The financial sector's increasing digitization and influx of alternative data offer a unique opportunity for DNNs, emphasizing their capability for automatic feature extraction. However, the integration of DNNs necessitates a multi-disciplinary approach, involving financial experts, data scientists, and computational specialists. The paper concludes with an optimistic outlook for the synergy between deep learning and traditional financial theories, aiming for a harmonious blend of modern computational techniques with foundational financial principles.
Virtual instrumentation-based data collection and analysis for CNC machining process
Authors: Xu Yiyang
Published: May 2024

Using Computer Numerical Control (CNC) machine tools in manufacturing is crucial for exact processing materials. The quality of the machined product heavily relies on the machine's condition. Therefore, monitoring and assessing the machine's status is essential to ensure product quality and enhance its lifespan. However, due to cost, space, and technical limitations, only a few physical variables, such as acceleration, force, displacement, acoustic radiation, temperature, and flow conditions, can be measured. Efficient transfer and extraction of these data are critical for monitoring machine status using statistical methods or valuable signatures. Traditional measurement instruments are complex and numerous, whereas measurement and analysis systems based on virtual instrumentation technology collect necessary data from sensors and data acquisition cards, meeting the needs of test analysis. Virtual instrumentation utilizes computer hardware resources, modularization hardware, and software systems for data analysis, communication, and operation interface, providing greater versatility, flexibility, compatibility, and repeatability. Previous research has shown successful attempts at developing LabVIEW-based systems for monitoring CNC milling machines and analyzing cutting parameters and forces. This project aims to collect and process data from the CNC machining process. The main objectives include writing a LabVIEW software program, recording data from CNC machine programs using the provided hardware (myRIO) and LabVIEW program, processing the data using MATLAB software, and analyzing and discussing the obtained results. The report consists of four parts, starting with an introduction to the project's background and literature review, followed by a description of the project steps, methods, experiments, and data processing. The processed data graphs will be presented and discussed, and recommendations for future research will be provided before concluding with a study summary.
Application of energy recovery mechanisms in wearable devices
Authors: Zhang Haowen
Published: May 2024

Wearable devices have almost become a necessity in modern-day society due to their multifaceted functions, providing fitness tracking and health monitoring. Apart from this foundational role, daily wearable devices play a significant role in helping with health recovery, such as Mechanical Exoskeletons, in our high-demand society. However, one of the primary limitations of these devices is their dependency on finite battery life. This review paper aims to address this problem with the concept of energy recovery (ER) technology, which could be a potential solution for prolonging the operational time of wearables. These methodologies are primarily based on the theory of energy conservation and efficiency models, branching out into different aspects of thermodynamics, piezoelectricity, and the basic principles of human motion. Through the analysis of academic journals and primary studies, this review aims to provide a detailed explanation of how ER technology would work from various perspectives, identify constraints within the use of this technology, and suggest directions for future investigation. The objective is to promote the integration of energy recovery technologies into wearable devices, ultimately enhancing their efficiency for users.
Foldable display technology and wearable device integration design
Authors: Gao Xinbo
Published: May 2024

This paper explores the latest advancements in foldable display technology and its integration into wearable devices. By synthesizing relevant literature, the paper introduces the development history, principles, and application domains of foldable display technology. It subsequently discusses the advantages and challenges of incorporating foldable display technology into wearable devices, presenting various integration design approaches and future directions. The paper concludes by envisioning the potential applications of foldable display technology and wearable device integration in fields such as smart healthcare, fitness tracking, and fashion technology.
Research on the application of automatic control theory in automatic driving technology
Authors: Wang Kaihuai
Published: May 2024

Autonomous driving technology has been widely used and studied in depth in recent years, and has become a hot field in the automotive industry. As one of the core methods to realize automatic driving, automatic control theory provides an important theoretical basis and practical guidance for automatic driving systems. This paper aims to explore the application of automatic control theory to autonomous driving and analyze its potential impact on improving driving safety, comfort and efficiency. This paper first introduces the basic principles and components of the autonomous driving system. Among them, automatic control theory plays an important role in decision-making and execution. Secondly, this paper discusses the specific application of automatic control theory in automatic driving. These include PID controller-based vehicle stability control, model predictive control (MPC) for path planning and trajectory tracking. These applications enable autonomous driving systems to respond in real time to environmental changes and maintain vehicle stability and safety. Finally, the paper discusses the challenges and future directions of automatic control theory in autonomous driving. Future research should focus on further improving the robustness and adaptability of automatic control algorithms to cope with complex driving scenarios and uncertainties. To sum up, automatic control theory plays an important role in automatic driving and has broad application prospects. Through continuous improvement and innovation, automatic control theory will make an important contribution to the realization of safer, more efficient, and more intelligent autonomous driving technology.
Research on man-machine cooperation and safety in intelligent manufacturing
Authors: Liu YiHang
Published: May 2024

Securing our organizations safety in this dynamic environment demands an all-encompassing approach, encompassing the physical, virtual, and human dimensions. It is imperative to understand that true security transcends the digital realm, encompassing the very physical spaces where innovation unfolds and the people who drive it. In order to effectively recognize and mitigate urgent threats in real-time scenarios, a commitment to adhering to established standards and leveraging state-of-the-art sensors becomes indispensable. These sensors serve as the vigilant sentinels of collaborative spaces, tirelessly monitoring interactions, and swiftly identifying anomalies. By adhering to rigorous standards, organizations ensure that their security protocols remain robust and responsive. Collaboration safety, meanwhile, hinges on the proficiency of trained and informed personnel. Properly equipping the human element within this collaborative landscape is paramount. Operators must be well-versed in the technologies they interact with, trained to navigate collaborative workflows, and imbued with a heightened sense of safety awareness. The success of collaborative ventures relies heavily on the competence and preparedness of the human workforce. From our extensive analysis, a resounding call to action emerges: the imperative to integrate diverse elements cohesively for optimal performance. This integration isnt merely a technological endeavor; its a holistic approach that considers people, processes, and technology.
Design and construction of small-scaled variable modular installation (SVMI) in the context of Chinese street renewal (CSR) : A case study of the "Jingzhang Box" (JZB) service installation in Beijing
Authors: Zheng Ziang
Published: May 2024

China's urban areas are entering an era of stock renewal, where street renewal is receiving policy attention and practical project implementation. However, the challenges posed by spatial constraints and insufficient functional activities on the streets have led to street renewal failing to meet public demands. Small Variable Modular Installations (SVMI) possess a high degree of adaptability to constrained spaces and a flexible capacity to shape diverse functions, making them a targeted strategy in theory to address the challenges of street renewal. Nevertheless, there is a research gap in the context of Chinese street renewal (CSR) concerning the design, and construction of SVMI: an insufficient exploration of combined variable and modular technology solutions and practical construction techniques and methods. In response to this research gap, this study focuses on the "Jing-Zhang Box" (JZB) service installation in Beijing, providing specific analysis of its design concept, design technical points, application functions, spatial structure and connection methods, construction methods, and construction outcomes. This study aims to provide specific supplementation to the research on SVMI design and construction in the context of CSR and to offer theoretical and engineering foundations for the future design and practical construction of SVMI in various scenarios.
Analysis of gesture recognition applications based on deep learning
Authors: Liu Yilin
Published: May 2024

With the advent of artificial intelligence, deep learning has been continuously evolving. It has progressed from its initial stages, exemplified by AlphaGo, to the development of related technologies exclusively centred around deep learning for the game of Go. Subsequently, deep learning has found applications in an increasing number of domains, including healthcare, sports, and more. This paper delves into the profound influence and development of deep learning as the foundation for analysing its impact on gesture recognition. Deep learning has brought about significant advancements in this field, enabling more precise and versatile gesture recognition systems. Furthermore, we explore specific use cases and contexts where deep learning has been harnessed, such as in medical diagnostics and sports performance analysis. While scrutinizing these applications, a promising future for deep learning becomes evident, with the potential to revolutionize various industries and enhance technology interaction through the development of more intuitive and sophisticated gesture recognition systems. The continuous growth and evolution of deep learning offer a bright prospect for the future of human-machine interfaces and artificial intelligence-driven solutions.
Accelerating handwritten number classifier with pipelined Multiply-Accumulate units in neural networks
Authors: Zou Yifei
Published: May 2024

This research project explores the development and assessment of a Handwritten Number Classifier based on Neural Networks, employing the widely used MNIST dataset. The primary objective of this study is to enhance computational efficiency, and to achieve this, it concentrates on integrating and contrasting non-pipelined and pipelined structures within the Multiply-Accumulate (MAC) unit. The initial phase involved conducting MATLAB simulations, which yielded promising results regarding the accuracy of weight calculations. Subsequently, Hardware Description Language (HDL) testing was carried out to further validate the classifiers performance. In the HDL testing phase, the classifier incorporating the pipelined MAC unit demonstrated a substantial 42.9% enhancement in processing speed when compared to its non-pipelined counterpart. These results highlight the potential advantages of employing pipeline processing in neural network architectures, emphasizing its effectiveness in achieving faster and more efficient image classification, particularly when dealing with extensive datasets. In conclusion, this research project not only presents valuable insights into improving the efficiency of neural network-based image classifiers but also lays the groundwork for potential future endeavors. These future directions may include adapting the classifier to handle more complex datasets and addressing emerging challenges.
Typical artificial intelligence algorithms and real-world applications related to handwritten number classifier
Authors: Wang Dadi
Published: May 2024

Artificial Intelligence is a science that aiming to creating systems to imitate human wisdom, and perform tasks such as learning, reasoning, problem-solving, perception, natural language understanding, and some forms of creativity. This paper is about handwritten number classifier, a specific field within artificial intelligence, and its use across various industries. The basic concepts about artificial intelligence will be given at the first and the definition and structure of three representative artificial intelligence algorithms, convolutional neural networks, recurrent neural networks, and long short-term memory neural networks will be exemplified to better illustrate the concepts. Furthermore, the applications of handwritten number classifier will be analysed, especially in the areas of large-scale data statistics or survey, finance and taxation, and mail sorting. Eventually, a conclusion encompassing the challenges that the artificial intelligence systems are faced and reasoning regarding the significant role that artificial intelligence plays in the urban areas of the world is given for further discussion.
Research on the application of the terahertz technique
Authors: Yu Dinglin
Published: May 2024

Terahertz is a new radiation source with many unique advantages and terahertz technology is a very important cross-cutting frontier field, providing a very attractive opportunity for technological innovation, national economic development and national security that may lead to revolutionary developments in science and technology. This article introduces the advantages and disadvantages of electromagnetic waves in the terahertz frequency band, the origin and development history of terahertz technology, and the composition of common terahertz systems, and outlines the technologies of secure communication, detection, imaging, etc., according to their principles. The analysis shows that under the premise of ensuring the size of its key devices to be miniaturized in application, and solving the technical difficulties such as its complicated use, high overall cost and reliance on low-temperature operation, the terahertz technology will have a broad market prospect in the fields of biology, medical treatment, communication, military security and so on.
Research progress of energy regenerative suspension systems
Authors: Yang Yuxiang
Published: May 2024

As energy saving and recycling in the automobile industry becoming a hot topic today, the energy recovery and regeneration system attracts the attention of a large number of researchers. However, unlike the energy recycling system of the braking system, the suspension is a relatively more immature technology. This article focuses on the summary of the current development of the energy recycling suspension system. It starts with a brief introduction to suspension systems, including their definition and several types of typical suspension systems with their structures and principles. After that is the description of four types of energy recycling suspension systems: hydraulic type, air pressure type, electric type, and mechanical type. It shares their principles, structures, workings, and the research achievements of others contemporary. The following is a comparison of the four types of energy recovery and regeneration suspension systems from several different aspects. The last part of this article is the summary conclusion of this research, mainly about their development prospect in the future.
Study on the performance characteristics of the substation PVASHP system based on TRNSYS
Authors: Jianwei Ren , Xuanjun Chen , Jiahui Yu , Puyan Wang , Xueyuan Zheng , Wenhua Dai
Published: May 2024

Taking the substation building as the research object, DeST software is used to simulate the annual building load of the case building, and the load results are connected to the TRNSYS software. At the same time, the G ENOPT software is used to optimize the solar inclination and azimuth, and the system simulation model of solar photovoltaic-air source heat pump is established and the data analysis is carried out. The results show that the peak cooling load of the substation building occurred on July 24th, The numerical value is the 49.28kW, The annual cumulative cooling load of the building is 20165.59 kWh; Based on Hooke Jeeves algorithm, the optimal inclination of photovoltaic panels is 44.18 and the optimal azimuth is 11.69; Typical days, The highest peak power of the air source heat pump appears at 1 a.m,Its peak power is 7.47 kW, The COP peak was 3.67; Within the typical week, Solar photovoltaic efficiency shows stable periodic changes, Peak aking around 12:00 noon, Its peak efficiency is 18.14%; There is a significant linear distribution relationship between the solar photovoltaic power generation capacity and the solar radiation, Its linear correlation coefficient was 0.85. Compared with the single air source heat pump system, the composite system saves 18.33% energy and has good application effect.
Research on the energy efficiency and sustainability
Authors: Zhou Ziqiang
Published: May 2024

Mechatronics systems, by integrating mechanical, electronic, and computer technologies, offer a comprehensive solution to optimize the generation, transmission, storage, and utilization of energy, thus reducing energy waste. This paper begins by introducing the applications of mechatronics systems in renewable energy systems, encompassing the efficient capture and management of resources such as solar and wind energy to meet energy demands. Secondly, this paper discusses the critical role of mechatronics systems in smart grids, enhancing the efficiency and reliability of power systems through advanced monitoring and control technologies. Furthermore, this study emphasizes the value of mechatronics systems in designing and implementing energy-saving devices, including high-efficiency motors, intelligent lighting, and heat recovery technologies, to reduce resource wastage and environmental impact. Finally, by reducing carbon emissions and decreasing reliance on traditional energy sources, mechatronics systems actively contribute to sustainability, promoting the development of sustainable cities and buildings, and simultaneously achieving the United Nations Sustainable Development Goals.
How Do Profitability and Institutional Ownership Drive Value through Dividend Policy? Evidence from Nigeria
Authors: Akpadaka Ovbe Simon , Farouk Musa Adeiza , Dang Dagwom Yohanna
Published: May 2024

This study examines how dividend policy, profitability, and institutional ownership affect the value of a company. This study also examines how dividend policy affects the paths of profitability, institutional ownership, and firm value in the Nigerian Exchange Group (NGX). The study used a longitudinal research design with 46 purposively sampled firms and a dataset spanning from 2012 to 2022, yielding 417 observations. We used multiple path analyses with bootstrap mediation and 2000 replications to examine the manufacturing sector and five subsectors. This helped us understand how exogenous variables affect endogenous variables in a more complex way by showing their direct, indirect, and total effects. The most important results showed that 1) DPS, which stands for dividend policy, did not have a significant mediating effect on profitability at the aggregate or subsector level; 2) DPS did have a significant positive mediating effect on institutional ownership at the aggregate level; and 3) DPS had a significant negative mediating effect on consumer staples. This study covered the manufacturing firms listed on the NGX, which limits the outcome’s applicability to other sectors and geographic regions. Some implications for investors and regulators are that institutional ownership and dividend policy (DPS) are potent tools for mitigating agency costs and that dividend payments send signals and help reduce information asymmetry, which ultimately positively impacts value. This study contributes to the literature on mediation analysis in a novel manner by applying bootstrap mediation analysis within the geographic context of Nigeria, which brings a new perspective to financial analysis methodology in emerging markets.
The Correlation between Vocabulary Learning Strategies and Vocabulary Mastery
Authors: Nurhayati Nurhayati , Lolong Chikita
Published: May 2024

The purpose of this study is to determine the correlation between vocabulary learning strategies and vocabulary mastery. A questionnaire was distributed to students of class VIII A, B, C and D of SMP Advent Airmadidi to determine the level of use of vocabulary learning strategies and vocabulary mastery. To answer the research questions, descriptive mean analysis and Pearson Correlation Coefficient Correlation were used to answer the research questions. The research findings revealed that: (1) the level of students' vocabulary learning strategies was 3.41, indicating a moderate level; (2) the level of students' vocabulary mastery was 82.44 indicating good vocabulary mastery; and (3) the p value = 0.781, and r = 0.028, indicating that there was no significant correlation between vocabulary learning strategies and vocabulary mastery. The interpretation of the research findings shows that although there is no significant correlation between vocabulary learning strategies and vocabulary mastery, the use of various vocabulary learning strategies still contributes positively to students' vocabulary mastery. Therefore, teachers can expand the vocabulary learning strategies they use in the classroom, as well as provide more focused support to students in choosing and applying strategies that suit their individual learning strategies
Peran Desain Pembelajaran dalam Kurikulum Merdeka: Pendekatan dan Implementasi
Authors: Liza Nova , Zurhidayati Zurhidayati , Fadriati Fadriati
Published: May 2024

This article explores the important role of learning design in the implementation of the independent curriculum in Indonesia. Learning design provides a structured framework for the educational process, ensures teaching effectiveness, and achieves expected learning objectives. With this approach, teachers can design learning that is relevant, interesting, and in accordance with the needs of students. This research uses a qualitative approach with a literature study method, which is also known as library research. The data sources used in this study consist of secondary data sources obtained from journals or articles, as well as books related to independent curriculum learning design. The main source of article search is articles sourced from Google Scholar. Data analysis is carried out qualitatively, through the stages of data reduction, data presentation, and conclusions. The results of the analysis show that good learning design aims to develop the knowledge, skills, and attitudes of students in accordance with the demands of the times, with the hope that the learning process will be more meaningful, fun, and have a positive impact
Pengaruh Insentif dan Motivasi Kerja terhadap Semangat Kerja Karyawan pada SMKS YKPP Bontang
Authors: Nur Azizah Fitriani , Ashari Enil , Kiswanto Heri
Published: May 2024

The aim of this research is to investigate the influence of incentives and work motivation on employee morale at SMKS YKPP Bontang, with the hope of providing insight into human resource (HR) development strategies in educational institutions. This research uses quantitative methods by applying multiple linear regression analysis to investigate the influence of incentives and work motivation on employee morale at SMKS YKPP Bontang. The results of this research show that incentives and work motivation have a positive and significant influence on employee morale at SMKS YKPP Bontang. This indicates that increasing incentives and motivation can effectively increase work morale, which in turn can contribute to improving employee performance and the quality of education at the institution. The novelty of this research lies in its focus on the influence of incentives and work motivation on employee morale in educational institutions, especially at SMKS YKPP Bontang. While many studies have explored the relationship between incentives, motivation, and morale in various sectors, this research specifically identifies and analyzes the factors that influence morale in the context of technical and vocational education
Penerapan Pembelajaran Berdiferensiasi dengan Model PBL untuk Meningkatkan Kemampuan Pemecahan Masalah Matematika Kelas 2 SDN Panggung Lor
Authors: Fitriani Sinta , Mudzanatun Mudzanatun , Kusuma Rimba
Published: May 2024

Students' problem-solving abilities are used as a fundamental perspective in mathematics learning. The aim of this research is to improve the problem solving abilities of students at SDN Panggung Lor Semarang with differentiated learning using the PBL model. This research is classified as classroom action research (PTK) with subjects of 26 grade 2 students for the 2023/2024 academic year. Data was collected based on written test techniques and observations. The technique used is qualitative descriptive analysis. Based on classroom action research, it shows that there is an increase in students' problem solving abilities after implementing differentiated learning with the PBL model. Pre cycle 38.46, became 61.53 in cycle 1 and rose to 90.38 in cycle 2. The indicator for planning problem solving experienced an increase in the average score for each cycle, from pre cycle 30.76 to 53.84 in cycle 1 and increased by 78.2 in cycle 2. The indicator of implementing the plan experienced an increase in the average score for each cycle, from pre-cycle 57.69 to 80.76 in cycle 1 and rose to 90.38 in cycle 2. Checking Indicators the answers experienced an increase in the average score for each cycle, from pre-cycle 28.84 to 40.38 in cycle 1 and increased by 61.53 in cycle 2. (2) The percentage of student completion reaching KKM 75 before the action was 46%, at the end of the cycle it increased to 78%.
Location of establishment of the national salvation troops 3
Authors: Thuy Phuong Chu Thi
Published: May 2024

Place names are closely related to the historical, cultural, and resident characteristics of a certain region. Therefore, place names are an extremely rich store of "data" that need to be exploited. To decode a place name, in addition to linguistic knowledge, it is necessary to have a comprehensive view of the culture of the research area. This article explores the relic where the Khuoi Kich Officers' Conference was held and the national salvation troops3 was established, which is Khuoi Kich, Tan Lap village, Tan Trao commune, Son Duong district, Tuyen Quang province, where the conference took place. officers on February 16, 1944 and established the Vietnam national salvation troops 3 on February 25, 1944.