bluuebunny/crossref_metadata_2025 huggingface dataset:
Clustering of Child Stunting Data in Tangerang Regency Using Comparison of K-Means, Hierarchical Clustering and DBSCAN Methods
Authors: Azzam Robbani Muhammad , Firmansyah Gerry , Mulyo Widodo Agung , Tjahjono Budi
Published: September 2024

This study aims to analyze stunting in children in Tangerang Regency using clustering methods such as k-means, Hierarchical Clustering with Agglomerative Nesting, and Density-Based Spatial Clustering of Applications with Noise (DBSCAN). Stunting is a significant health issue affecting child growth due to chronic malnutrition and recurrent infections. The research revealed that k-means produced the best clustering results with a Silhouette Score of 0.52, indicating its effectiveness in categorizing children based on age, nutritional status, and stunting risk. The k-means method identified three clusters: Cluster 0 (ages 46-55 months, good nutrition, no stunting), Cluster 1 (ages 9-18 months, varied nutritional status, high stunting risk), and Cluster 2 (ages 27-36 months, good nutrition, no stunting). The study suggests preventive actions such as balanced nutrition education, regular health monitoring, complete immunizations, and physical activity, alongside curative measures like nutritional consultations and supplements. The findings provide a framework for targeted preventive and curative interventions, enabling Tangerang Regency's health department to effectively address and reduce stunting rates.
Competitive Strategy Analysis and Formulation of Selected Strategy Alternatives Through the Blue Ocean Strategy Approach at PT XYZ
Authors: Martanti Heni , Wahyuningtyas Ratri
Published: September 2024

PT XYZ is a dairy manufacturing company in an industry that has high competition. Products from PT XYZ are not satisfactory even though the price is competitive, so they often do not reach sales and revenue targets. This research aims to find out the internal and external conditions of PT XYZ and formulate the right strategy to compete in the market. This study uses a qualitative method with a case study approach, collecting primary data through interviews, questionnaires, and observations, as well as secondary data from company literature and other sources. Sampling was carried out by the purposive sampling method and the validity of the data was checked using source triangulation. Data analysis was carried out using various matrices such as IFE, EFE, IE, SWOT, and QSPM, as well as blue ocean strategies for the implementation of the right strategy. The results of the study show that the IFE matrix score is 2.607 and the EFE matrix score is 3.435, so that the position of PT XYZ on the SWOT diagram in quadrant II. From the results of the SWOT matrix, the company has 11 alternative strategies, including 4 SO strategies, 2 ST strategies, 3 WO strategies, 2 WT strategies. An alternative strategy that is the main priority based on the eval_uation of the QSPM matrix is product innovation. The recommended strategy for PT XYZ to face competition is to innovate products. By developing new dairy products that have added value or new variants, PT XYZ can differentiate itself from competitors in the dairy market. These innovative products can attract the attention of consumers who are looking for variety or additional benefits from dairy products. Through this innovative product, PT XYZ can increase sales and expand the market.
Epidemia por virus chikungunya en pacientes pediátricos en Neiva, Colombia: Presentación clínica, paraclínica y complicaciones
Authors: Alarcon Rojas Neyda , Charry Gladys , Morales Juan Sebastián , Salgado Doris Martha
Published: September 2024

Introducción: Colombia fue severamente afectada por un brote de Virus Chikungunya (CHIKV) en 2014-2015, principalmente en la región Caribe y Andina, donde el departamento del Huila registro durante los primeros meses de 2015 un alto número de casos, el objetivo fue describir el comportamiento clínico de la epidemia por el virus Chikungunya en niños atendidos en el Hospital Universitario Hernando Moncaleano Perdomo (HUHMP) de Neiva durante el 1 de enero y 31 de marzo de 2015. Metodología: Se realizó un estudio observacional retrospectivo de corte transversal, teniendo en cuenta el número de niños hospitalizados en el Hospital Universirario de Neiva, en el primer trimestre del año 2015. Se recolectó una muestra de 140 pacientes hospitalizados que fueron incluidos en el estudio. Resultados: Del total de 140 pacientes, 37 fueron neonatos (26.4%), 72 lactantes (51.4%), 12 preescolares (8.5%) y 19 escolares (13,5%). 59% correspondieron al sexo masculino; 79% de los pacientes eran procedentes de Neiva. En cuanto a las manifestaciones clínicas, 91.4%, presentaron exantema como característica predominante, diarrea en el 30.7%, dolor articular 30%, vómito 20.7%, convulsiones 3.6%, lesiones vesiculoampollosas 3.6% y miocarditis 1.4%. Se documentó leucopenia y linfopenia en el 20% de los casos, y trombocitopenia en el 5.7%. Todos los pacientes egresaron de la institución vivos, sin documentarse ningún caso de mortalidad. Dos neonatos presentaron miocarditis, con resolución completa y satisfactoria. Las crisis se presentaron especialmente en lactantes, sin evidencia de déficit neurológico. Conclusiones: Durante el brote de fiebre Chikungunya 2015 en el Huila, el 75% de la población atendida en el servicio de pediatría del HUHMP correspondió a menores de 2 años. El exantema acompañando a la fiebre fue la manifestación predominante en esta población. Las alteraciones hematológicas como leucopenia, linfopenia y trombocitopenia, en 1/5 casos de casos. Se repotaron formas severas de persentación de la infección por CHIKV como miocarditis y convulsiones. Durante el período de estudio, aumentó al doble la demanda de consulta por fiebre al servicio de urgencias pediátricas, respecto a los 3 meses previos.
Trauma Raquimedular. Revisión de la Literatura
Authors: Charry Cuellar José Daniel , Lozano Losada Abner , Solano Juan Pablo
Published: September 2024

El trauma Raquimedular (TRM) es una patología muy común en el paciente traumatizado Entre un 25% y un 60% de los casos se asocian con traumatismos múltiples, fundamentalmente craneal, torácico, pélvico y de huesos largos, La mayoría de los pacientes con TRM provienen de accidentes de tránsito o laborales, lo que es muy frecuente verlo todos los días, en las distintas partes de Colombia. Además de la mortalidad, es importante tener en cuenta las consecuencias personales, sociofamiliares y económicas, los cuales llevan a un problema de salud pública, el siguiente articulo permite realizar una revisión del estado actual y manejo de los pacientes que sean víctimas de estas patologías.
Revisión sobre la efectividad y seguridad de los tratamientos biológicos frente a los esteroides en la prevención de complicaciones neurológicas en la enfermedad de Behçet
Authors: Cujiño Ibarra Oscar Iván , Calderón Franco Carlos Hernán , López Areiza Tatiana Andrea , Guezguan Pérez Jonathan Alexander
Published: September 2024

El síndrome de Behçet, o enfermedad de Behçet, se distingue por la aparición recurrente de aftas bucales y diversas manifestaciones sistémicas, como aftas en el área genital, problemas oculares, lesiones en la piel, síntomas neurológicos, enfermedades vasculares y artritis. Aunque su causa es desconocida, se ha vinculado a ciertos genotipos y factores ambientales del paciente. Se llevó a cabo una revisión sistemática de la literatura en las bases de datos MEDLINE, EMBASE, SCOPUS y la Biblioteca Cochrane, sin restricciones de tiempo ni idioma. La búsqueda arrojó 617 referencias. Tras la eliminación de duplicados y otros criterios, se revisaron 37 en texto completo. 3 cumplieron con los criterios de inclusión. El empleo de 1 g de metilprednisolona en casos agudos de NBD ha mostrado que dos tercios de los pacientes con lesiones en el tronco encefálico o cerebrales presentan una buena recuperación tras el tratamiento con este corticoide. Dada la elevada incidencia de afectación en órganos vitales, es fundamental realizar un seguimiento extenso y constante del tratamiento adecuado para la enfermedad de Behçet. La limitada evidencia disponible para guiar decisiones sobre el uso de corticoides y terapias biológicas, que disminuyen la progresión y las recaídas de la enfermedad, resalta la importancia de realizar ensayos controlados aleatorizados que ofrezcan pruebas más contundentes sobre su seguridad y esquemas de tratamiento.
The Role of English Language Skills in the Tourism Industry in the 4.0 Era in Kuningan District, West Java Province
Authors: Oktoma Erwin , Solihat Dadang , Masruroh Rina
Published: September 2024

Through communication media, English plays a significant role in the sustainable tourism sector with the goal of promoting foreign travel, service, effective communication between foreign visitors and tourism actors, and the surrounding community, all of which are ultimately related to the growth of local tourism in the industrial era's sustainable tourism sector. 4.0 Tourist actors need to be fluent in English, especially in the vernacular, which includes basic discussion, linguistic proficiency, and basic conversation. The purpose of this study is to investigate the advantages of English- speaking culture in West Java Province's sustainable tourism sector during the Industrial Era 4.0. Descriptive qualitative analysis is the analytical technique employed. This study demonstrates the necessity of English-speaking culture in Kunuingan District, West Java Province's sustainable tourism industry in the industrial era 4.0 in order to promote the province's local tourist destinations overseas, increase the number of foreign visitors, and facilitate English-language communication. The ability to speak effectively in English is crucial for both those who work in the tourism business and those who live near popular tourist sites.
Analysis of the Influence of Customer Reviews and Customer Trust on Customer Loyalty through Customer Satisfaction as an Intervening Variable
Authors: Fitriani Lili , Rois Tatang , Seliana Sela
Published: September 2024

The aim of this study is to analyze influence between customer reviews and customer trust on customer loyalty with customer satisfaction as an intervening variable. This study used descriptive and quantitative methods. Sampling was determined using a non-probability sampling technique with size of sample is 130 respondents who are Shopee users in Ciayumajakuning. Data collection by questionnaires to conducted through the distribution sample, and measurements used an interval scale. Data analysis was performed using path analysis. The research results indicate that customer reviews has a negative and insignificant impact on customer satisfaction. Customer trust has a positive and significant impact on customer satisfaction. Customer reviews have a positive and significant impact on customer loyalty. Customer trust has a positive and significant effect on customer loyalty. Customer satisfaction has a positive and significant impact on customer loyalty. Customer satisfaction can not mediate the correlation between customer reviews and customer loyalty. Customer satisfaction mediating correlation in the middle of customer trust and customer loyalty. The implication companies should focus directly on managing customer reviews and experiences to effectively influence loyalty without relying on satisfaction as an intermediary. On the other hand, to enhance overall loyalty, building strong trust is crucial, as trust can increase customer satisfaction, which in turn strengthens loyalty based on that trust.
Beyzâde Mustafa’nın Menâsikü’l-hacc Adlı Eseri
Authors: Gök Ömer , Töre Emre
Published: September 2024

Hicaz’ın 1517 yılında topraklarına katılmasından sonra hac yolculukları Osmanlılar için büyük bir önem kazanmıştır. Bu durum hac ibadeti ile ilgili menâsik, menâzil ve edebî niteliğe sahip eserlerden müteşekkil bir hac edebiyatının oluşmasını sağlamıştır. Özellikle 16. yüzyıldan sonra Türkçe kaleme alınan çok sayıda hac edebiyatı eseri bulunmaktadır. Bunlardan biri de bu çalışmanın konusunu teşkil eden Ahıskalı Beyzâde Mustafa’nın Menâsikü’l-hacc adlı eseridir. Eserin yazılış gayesi, hac adaylarına kılavuz kitap hazırlamaktır. Müellif eserinde diğer menâsik kitaplarında olduğu gibi hac ibadetinin temel terimlerinden, farzlarından, ibadet esnasında yapılması ve yapılmaması gerekenlerden bahsetmekte; umre ve haccın her aşamasında okunması gereken dualara yer vermektedir. Bu çalışmada, Beyzâde Mustafa’nın Menâsikü’l-hacc’ı şekil ve muhteva açısından incelenmiş; ayrıca Arapça duaların okunduğu bölümlere yer verilerek müellifin yararlandığı kaynaklar açıklanmıştır. Eserin dikkat çeken bir özelliği de umre yolcusunun veya hac adayının anlamayacağı düşünülen terimlerin ve yer adlarının açıklanışıdır. Bu kelime ve kavramlar tespit edilerek müellifin anlatım diline müdahale edilmeden metin içi sözlük oluşturulmuştur.
Réfléchir aux effets de la transformation numérique sur les familles au Canada
Authors: Denier Nicole , Deutsch Rebecca , Hu Yang , Qian Yue
Published: September 2024

L’évolution rapide des technologies a une incidence importante sur les familles au Canada. L’intensification de la portée numérique a des répercussions considérables sur la vie de famille et les politiques familiales au pays, ce qui a donné lieu à de nombreux débats sur la place publique quant aux bénéfices et aux dangers que présentent les technologies numériques, et quant à la nécessité d’en réglementer l’utilisation. Ce document d’information donne un aperçu des principaux enjeux relatifs à la transition numérique, dans une perspective familiale, ainsi que de ses répercussions sur le bien-être des familles au Canada, dans toute leur diversité. Il met également en relief les problèmes relatifs à la fracture numérique, à la protection de la vie privée et aux préjugés, ainsi que les inégalités qu’ils suscitent entre les familles et au sein de celles-ci.
Research on Optimization of Image Recognition Algorithm Based on Deep Learning
Authors: Zhang Mingyuan
Published: September 2024

With the rapid development of information technology, image recognition has become increasingly crucial in numerous fields. Deep learning, as a highly potent machine learning approach, has brought about a revolutionary breakthrough in image recognition. This paper delves into the optimization of image recognition algorithms based on deep learning. Firstly, it analyzes the application status of deep learning in image recognition, covering common neural network architectures such as convolutional neural network (CNN). Then, the optimization strategy of the image recognition algorithm is elaborated from multiple aspects, including data augmentation to increase data diversity, model structure optimization for better feature extraction, and hyperparameter adjustment to enhance performance. Through extensive experiments, the effects of different optimization methods are compared meticulously. It is demonstrated that the optimized algorithm shows significant improvements in accuracy, robustness, and efficiency. Finally, the paper looks ahead to the future development trend of image recognition algorithms based on deep learning, envisioning further advancements and broader applications.
Application of Convolutional Neural Network in Image Recognition
Authors: Lai Kaijie
Published: September 2024

Image recognition is of great significance for both human social development and daily life. This paper mainly discusses the application research of convolutional neural network (CNN) in the field of image recognition. Firstly, the basic structure and working principle of CNN, including the core components of convolution layer, pooling layer and full connection layer, are introduced, and then the structure and characteristics of the middle layer are explained. Then, this paper compares the advantages and disadvantages of different CNN models such as LeNet-5, AlexNet, GoogLeNet, ResNet, etc., and analyzes their application in face recognition, medical image recognition, traffic recognition, character recognition and other fields. Finally, this paper summarizes the application of CNN in image recognition, and points out the problems faced in its practical application, such as model complexity, computational resource requirements, etc., aiming to provide reference for further research of image recognition technology.
Predictive Modeling of Global Temperature Change Based on Artificial Intelligence Algorithms
Authors: Zhang Jincheng , Sun Shichang , Wang Runqing
Published: September 2024

As the greenhouse effect intensifies, global temperature changes are increasingly affecting all aspects of economic life. The purpose of this paper is to analyze the influencing factors of temperature to establish an analytical model of global temperature change. The Berkeley Earth Climate Database provides access to the data needed for the study. Pearson correlation analysis was used to quantify the strength of the correlations between temperature, location and other factors. After that, global temperatures were modelled and predicted by artificial intelligence algorithms such as ARIMA and linear regression prediction models, respectively. The results test that the model has good stability and can achieve accurate prediction function. The model can better help predict and respond to global temperature changes. The application of this AI algorithm can be used as a reference in other fields.
Research on Network Security and Privacy Protection Technology of Autonomous Vehicle
Authors: Wang Di
Published: September 2024

With the rapid development of information technology and the increasing maturity of intelligent transportation systems, autonomous vehicles, as an important carrier of future travel, are gradually moving from concept to commercial application. However, the highly connected and intelligent nature of autonomous vehicles also makes them face unprecedented cybersecurity and privacy protection challenges. This paper deeply discusses the security threats and privacy disclosure risks of autonomous vehicles in network architecture, data transmission, data processing and other links, and systematically reviews the current technical means and research progress to address these challenges. This paper Outlines the data collection and transmission mechanism of autonomous vehicles, including the collection and processing of sensor data as well as the communication process between vehicles and the cloud, other vehicles and transportation infrastructure, and analyzes in detail the network security threats faced by autonomous vehicles, including remote control attacks, malware attacks, communication hijacking, etc. These threats can lead to serious consequences such as vehicle failure, data breach, or system crash. At the same time, the paper also points out the challenges faced by autonomous vehicles in terms of privacy protection, such as the risk of leakage of sensitive data such as personal location information and driving habits, as well as the risk of data abuse and sharing. In order to address the above challenges, this paper focuses on the technical research progress of cybersecurity and privacy protection of autonomous vehicles. In the aspect of network security, this paper discusses the key technical means such as data encryption, access control, intrusion detection and response system, and emphasizes the importance of security hardware and software in improving the overall security of the system. In terms of privacy protection, this paper proposes strategies such as anonymization and desensitization technology, privacy protection protocols and standards to protect users' privacy from invasion.
IoT and Data Science Integration for Smart City Solutions
Authors: - Mohammad Abu Sufian , - Shariful Haque , - Khaled Al-Samad , - Omar Faruq , - Mir Abrar Hossain , - Tughlok Talukder , - Azher Uddin Shayed
Published: September 2024

Concerning the present-day growth of the urban populations across the globe, it is pertinent that new and efficient ways of handling the present-day cities are devised. Relative to this fashion, this paper aims to envisage the use of Internet of Things in partnership with data science for smart city solutions. IoT stands for the Internet of Things and allows devices, systems and services to be connected, collect real time data and analyze them. This data is used by the data science process to enable proper analysis and guide the running of the city with the aim of delivering better living standards for the people. Altogether applied case studies on the smart city from this paper investigates how IoT and data science are utilized to solve some of these issues such as traffic, energy and security. It also expands the issues of data management and security when countless IoT devices are connected and generating big data. The paper also analyses new trends and future developments, which may expand the application possibilities of smart cities, and enhance the existing smart structures. This paper highlights the current and possible issues with implementing smart cities and can act as a guide and pos all future work in the said field.
Security Challenges and Business Opportunities in the IoT Ecosystem
Authors: - Sufi Sudruddin Chowdhury , - Zakir Hossain , - Md. Sohel Rana , - Abrar Hossain , - MD Habibullah Faisal , - SK Ayub Al Wahid , - Mohammad Hasnatul Karim
Published: September 2024

In the growing IoT environment, security seems to be a dominant topic, because of the broad extent of IoT devices functionalities is expressed in the different sectors. This article scrutinizes the elaborate IoT infrastructure, exposing the common flaws and traceable security incidents, which serve as a background in the appreciation of the need of having reliable security frameworks. At the same time, the research paper pinpoints the vast business prospects that will spawn from the issues, highlighting the fact that these can be tapped through the creation and provision of cutting-edge security systems and consultancy services. The study makes a prediction of the future of IoT based on its current rating and empirical evidence by reviewing literature to assess emerging technologies and market trends, which give way for future innovations in IoT security. In general, this paper proposes that interested actors who are proactive and afraid of the emerging security threats have an opportunity to tap into the growth and innovation in building strong IoT systems. Consequently, the insights offered in this paper are appropriate for both the industry stakeholders and the researchers.
Sustainable Business Practices through IoT: Energy Efficiency and Cost Reductions
Authors: - Zakir Hossain , - Sufi Sudruddin Chowdhury , - Md. Sohel Rana , - Abrar Hossain , - MD Habibullah Faisal , - SK Ayub Al Wahid , - Mohammad Hasnatul Karim
Published: September 2024

This is the age of industrial transformation that is being driven by the Internet of Things (IoT). It offers very unique chance to maximize productivity excellence and foster economic expansion while having the opportunity to meet environmental concerns. This comprehensive study looks into not only the IoT contribution to energy efficiency and cost reduction but also potential use in areas of administrative operations with the same objective of energy efficiency and cost reduction. With the aid of rigorous mixed methods research that brings together qualitative data from multiple industries, against the backdrop of carefully selected case studies showing the actual benefits of IoT installations, the paper seeks to give a clear picture of the practical advantages of IoT-powered organizations. The research presents information regarding how IoT technologies function to optimize energy applications, enhance processes, and cut down waste through their ability to collect data in real-time and manage systems. Besides, it will analyze the problems companies may run into while adding IoT solutions, such as technological complexity, initial expenditure, and security matters. On the other hand, the research also designs the tactical moves that the companies can opt for as an alternative to completely eradicate these barriers and successfully deploy the IoT technology. Through the systematic study of the role of the Internet of Things on green business practices policymakers, business leaders, and technologists will gain valuable insights which can be applied in whatever levels they are working from. This policy is based on a systematic approach to IoT adoption, which, inter alia, suggests the organization of the project, statistical analysis, and improvement of the present situation to get the best economic and environmental state of affairs. This will further the comprehension of the power of IoT technology in both developing sustainability and increasing profitability, all indications that it is not just a technological advantage but rather a basic instrument for the future sustainability of business practices.
Business Innovations in Healthcare: Emerging Models for Sustainable Growth
Authors: - MD Nadil khan , - Zakir Hossain , - Sufi Sudruddin Chowdhury , - Md. Sohel Rana , - Abrar Hossain , - MD Habibullah Faisal , - SK Ayub Al Wahid , - MD Nuruzzaman Pranto
Published: September 2024

Today’s healthcare sector is a dynamic industry that can only support innovations in the business world that address the needs of clients. The purpose of this paper is to identify some of the growing trends of innovation in the context of the healthcare organization and practice with specific reference to technology, delivery of heath services, and system optimization. Analyzing the case studies or the current tendencies, the paper reveals the effects of these innovations on the quality of the caring service, on the effectiveness of a healthcare organization, and the future stability of a healthcare system. Furthermore, the paper examines the obstacles that hinder innovation and the legal frameworks that affect the business environment for sustainable growth and development recommendations. It is for this reason that the paper’s insights concretely highlight both the centrality and enduring importance of sustained innovation in realizing enduring positive changes in healthcare services as well as delivery.
Quantum Support Vector Machine for Classification Task: A Review
Authors: Akrom Muhamad
Published: September 2024

Quantum computing has emerged as a promising technology capable of solving complex computational problems more efficiently than classical computers. Among the various quantum algorithms developed, the Quantum Support Vector Machine (QSVM) has gained significant attention for its potential to enhance machine learning tasks, particularly classification. This review paper explores the theoretical foundations, methodologies, and potential advantages of QSVM for classification tasks. We discuss the quantum computing principles underpinning QSVM, compare them with classical support vector machines, and review recent advancements and applications. Finally, we highlight the challenges and prospects of QSVM in the context of quantum machine learning.
Analysis of Hot Spots and Trends of Sports Digitization Research in China Based on CiteSpace
Authors: Shi Zining , He Mao
Published: September 2024

To further understand the research hotspots and trends in the field of digital sports in China in the past decade, the China National Knowledge Infrastructure (CNKI) database was used as the sample source, and the CiteSpace software was used to obtain the knowledge graph of the annual number of published papers, authors and research institutions, keyword clustering, and emergence, to explore the development process of sports digitalization in China. Conclusions: (1) In recent years, the number of publications related to sports digitalization in China has shown a wave-like upward trend, and it will increase rapidly from 2020 to 2023. (2) There is no close connection between the authors of papers in this field, and most of the research institutions are sports and normal colleges, which lack cooperation and lack of collaboration in interdisciplinary fields. (3) According to the keyword analysis, the current research hotspots in China include digitalization, the sports industry, the digital economy, digital sports, physical education, and sports consumption. (4) Keeping up with the pace of building a digital China is an inevitable requirement for building a sports power. The deep integration of sports and digitalization is a new driving force for building sports power and promoting the sustainable and high-quality development of sports.
Is the Structure of Technology Progress in China "Green"?
Authors: Chen Chen
Published: September 2024

This paper argues that, considering input–output linkages, microeconomic technology progress may lead to CO2 mitigation of the entire economy. We develop an environmentally extended heterogeneous agents and input-output (EE-HA-IO) model to evaluate CO2 emissions in different technology progress scenarios. We also measure the rate of technology progress in each sector in China between 2002 and 2014, with the aim of showing whether technological progress is compatible with the carbon mitigation of technological progress in each sector. In other words, whether there is an upside down phenomenon between technological progress and CO2 emission reduction. Our main conclusions include: (1) Most industries (except energy sectors) have a negative carbon footprint to technology progress. (2) Technology progress in energy related sectors and in the upstream sectors of industrial chain can be found to have a strong potential of emission increase effect. (3) From 2002 to 2007, the number of mispairing sectors gradually increased, while decreased significantly in 2008-2014. The reason behind it is that China's economic growth mode has changed.
The Evolution and Generation of the History of International Ceramic Trade
Authors: Cao Jiaqi
Published: September 2024

The evolution and development of ceramic international trade have been shaped by various factors throughout history. From the ancient civilizations to the modern era, the trade of ceramics has played a significant role in global commerce. Colonialism had a major influence on the patterns and trends of ceramic trade, as European powers established trade routes and monopolies in different regions. The exchange of ceramic products facilitated economic growth and cultural exchange between nations. In the modern context, the trends in ceramic international trade have shifted towards a more globalized and interconnected market. Technological advancements and globalization have led to increased competition and innovation in the ceramic industry. International trade agreements and organizations have also played a role in shaping the dynamics of ceramic trade. Overall, the study of ceramic international trade history provides valuable insights into the interconnection of economies and cultures around the world. By understanding the past trends and developments in ceramic trade, we can better navigate the challenges and opportunities in the global marketplace.
Research on the Application of Green Packaging in Agricultural Products E-commerce Logistics
Authors: Zhou Yinuo , Li Xiang , Li Yaxuan , Song Qiyue
Published: September 2024

With the rapid development of Internet technology, e-commerce that emerges as the times require has many advantages, such as low cost, cross-regional, and strong interactivity. It can help integrate resources in various links in the process of agricultural product production and sales, thereby reducing cost, improving the quality and efficiency of the agricultural product supply chain, and increasing the income of farmers and agricultural enterprises. However, with the sharp increase in the usage of packaging, environmental protection issues have become increasingly prominent. The "Action Plan for Deeply Promoting the Green Transformation of Express Packaging" issued by eight departments including the National Development and Reform Commission proposes to increase efforts to solidly promote the reduction of express packaging, accelerate the cultivation of new models of recyclable express packaging, and enhance the standardization, recycling, reduction, and harmlessness of express packaging. This paper aims at the application status of agricultural product e-commerce logistics packaging, proposes the advantages of promoting green packaging in the use process of agricultural product e-commerce logistics, and simultaneously analyzes the problems existing in the promotion and use of green packaging in agricultural product e-commerce logistics, and then proposes solutions.
Cross-border Asset Allocation Strategies and Global Capital Market Integration
Authors: Wang Xueyuan
Published: September 2024

This paper explores cross-border asset allocation strategies and their application in the context of global capital market integration. It analyzes the key elements in practical operations, including asset selection, diversification, currency risk management, regulatory and tax considerations, market entry and exit strategies, and the use of information technology and data analysis. The sources of risk and return in cross-border asset allocation are evaluated, and corresponding risk management strategies are proposed. Additionally, the driving forces behind global capital market integration, such as technological progress, the rise of institutional investors, and strengthened international economic cooperation, are discussed. A comprehensive analysis is provided on how to optimize cross-border asset allocation strategies to achieve the optimal balance between returns and risks in the context of global capital market integration.
Analysis of Maintenance Methods and Process Improvement of Vacuum Laser Collimation System for Dams
Authors: Fan Jianxiang , Wang Guobing , Yan Xiaodong , Hua Meiling , Zhao Yanlong , Si Zhiguo , Yang Pei
Published: September 2024

The method and process of vacuum laser collimation system maintenance is one of the key technologies directly related to the accuracy of dam vacuum laser collimation system measurement value. Taking the maintenance methods and processes of vacuum laser collimation system in Lianlu and Xiacheng as the background, a new set of dam vacuum laser collimation system maintenance methods and processes are proposed, aiming to make up for the gaps in the maintenance of vacuum laser collimation system. It was found that the vacuum pipeline operates at vacuum values between 400 Pa and 900 Pa. The influence of light on the vacuum laser is avoided by correcting the system and shading the transmitting end as well as the connecting part of the receiving end and the vacuum pipeline with a rubber sheet. This new maintenance method and process also provides a useful reference for the safety monitoring of similar projects.
Design and Research of a Certain Type of Automatic Alarm Equipment
Authors: Zhu Huan , Qi Le , Shi Jing
Published: September 2024

Rapid detection of oxygen leaks in pipelines is crucial to prevent catastrophic accidents. This paper presents the design of an oxygen leakage detection and alarm instrument that converts ultrasonic signals, generated by gas escaping through small holes, into audible frequencies for headset use. This instrument is particularly suitable for ensuring the airtightness of oxygen supply systems for flight crews, engine startup supplemental oxygen systems, and four-station oxygen supply equipment. The design integrates ultrasonic principles, signal processing, computer control, and anti-jamming technologies to detect even minor leaks from a distance. The modular design includes components such as ultrasonic sensors, preamplifiers, filtering circuits, and microcontrollers, ensuring high detection sensitivity and reliability. The alarm system features light and sound alerts, enhancing maintenance efficiency and safety. This modern precision testing instrument significantly improves upon traditional leak detection methods like soapy water tests.
Research on Precision Control and Optimization of Automatic Feeding Device of Stamping Die
Authors: Xianzhou Hou , Manhua Xiao , Weiwen Ye , Hongliang Jia , Guoqiang Li
Published: September 2024

This paper discusses the precision control and optimization method of automatic feeding device of stamping die. By analyzing the accuracy of the existing feeding device, the main influencing factors are identified. To solve these problems, a comprehensive scheme of structural design optimization, control system improvement and precision test method optimization is proposed. The specific research contents include the improvement of the mechanical structure of the feeding device, the application of advanced algorithms in the control system, and the improvement of precision testing equipment and methods. Through experimental verification, the optimized feeding device has been significantly improved in precision and efficiency, effectively reducing the scrap rate in production, improving the overall production efficiency and product quality, and providing important technical support for precision manufacturing in industrial production.
Application Research of 5G Communication Technology in Satellite Navigation and Positioning
Authors: Bao Zhimin
Published: September 2024

With the rapid development of 5G communication technology and the increasing perfection of global satellite navigation and positioning, the application of 5G communication technology in satellite navigation and positioning is particularly important. Based on the overview of 5G communication technology and satellite navigation and positioning, this paper analyzes the important value of 5G communication technology in satellite navigation and positioning, and then discusses the application of 5G communication technology and satellite navigation and positioning, aiming to integrate 5G communication technology, further improve the performance of satellite navigation and positioning system, and expand its application scenarios. It will bring greater convenience and benefits to social development.
Robot SLAM Method Based on Multi-Sensor Fusion
Authors: Jiwen Guan
Published: September 2024

This study presents an innovative multi-sensor fusion SLAM solution to address the significant error in particle proposal distribution, excessive particle resource consumption, and low algorithm execution efficiency encountered in traditional RBPF-SLAM algorithms in practical applications. The proposed solution aims to optimize the overall performance of the SLAM system by effectively integrating data from laser radar, inertial measurement unit (IMU), and wheel odometer, among other multi-source sensors.
Analysis of Factors Influencing EV Power Battery Recycling Channel Selection: A Study Based on TPB and Multi Class Logistic Regression
Authors: Huang Juan , Jiang Yuanyang
Published: September 2024

New energy electric vehicle (EV) have become the mainstream worldwide, and the power battery recycling industry is facing new opportunities and challenges. This article compares and analyzes the advantages and disadvantages of existing power battery recycling channels. Through a questionnaire survey, a multi class logistic regression model is used to study the impact and correlation of users' gender, age, occupational category, and education level on their choice of recycling channels. The results indicate that there is a positive correlation between education level and understanding of power battery channels. The higher the education level, the more concerned the group is about environmental protection compared to convenience. Finally, based on the TPB, the impact of seven factors on users' choice of recycling channels and corresponding measures were summarized to help the enterprises understand users' inner thoughts, facilitate the establishment of a more comprehensive recycling mechanism, and improve the revenue of power battery recycling.
Artificial Intelligence as Promoting Effect on International Economic Relations
Authors: Wang Yongshun , Zvarych Roman
Published: September 2024

Artificial intelligence is one of the most cutting-edge fields in today's era, which is triggering a systematic transformation in human production and life worldwide, and has a great impact on international economic relations. In the short term, this disruptive technology will lead to changes and upgrades in industrial structure, a decrease in production costs, changes in international cooperation methods, resource allocation, and a redistribution of economic relations. In the long run, this metaphysical phenomenon based on human will challenge human self-awareness and identity. Different countries and social groups' predictions of the disruptive progress of artificial intelligence will lead to fierce competition and will reconstruct the international economic landscape on this basis.
Research on the Application and Optimization of B University Financial Integrated Information Portal System
Authors: Lv Shuqing
Published: September 2024

The rapid development of information technology has brought favorable opportunities for colleges and universities to continuously innovate financial management methods and improve the quality and level of financial services, and has promoted the wide application of a comprehensive financial information portal system in colleges and universities, which integrates online reimbursement, inquiry, authorization and other functions. Therefore, taking B university as an example, this paper analyzes and discusses the functions, operation processes and advantages of the financial integrated information portal system based on the problems of its traditional manual reimbursement methods, summarizes the bottlenecks that need to be further solved in the actual operation process of the system, and puts forward targeted optimization strategies. The financial comprehensive information portal is an important part of the financial informatization of B university, which is a powerful starting point to improve the financial management, education, service and education of B university, and contributes to the financial strength for the university to truly realize the concept of "three-all education" of all-staff education, whole-process education and all-round education, with a view to providing the basis for relevant policies to optimize the financial work.
A Questionnaire Survey on AI+Education Counting
Authors: Junqi Zhang
Published: September 2024

In recent years, with the rapid development of the Internet technology, the integration of technologies and education has greatly promoted the reform and development of university education. Based on analyzing the influence and impact of AI on university education, the paper puts forward the undeniable problems that need to be solved. The survey finds that although AI has obvious advantages in reforming teaching content, enriching teaching methods, and optimizing learners' learning experience, and it still needs to be constantly improved in the process of educational application.
Distributed Energy Resources Aggregation and Optimization Scheduling Model and Algorithm for Virtual Power Plants
Authors: Chengxi Yang
Published: September 2024

With the ongoing energy transition and power system reform, Distributed Energy Resources (DERs) are playing an increasingly important role in modern power systems. DERs mainly include distributed photovoltaics, distributed wind power, small hydropower, biomass energy, fuel cells, and controllable loads, characterized by decentralized deployment and local consumption. The large-scale integration of these resources presents new opportunities and challenges for power systems. Effectively coordinating and managing these distributed energy resources has become a hot research topic.
Design and Dissemination of Short Video Numbers Based on Changsha's City Image of "Media Art Capital"
Authors: Zhao Zhao , Tang Hongyue
Published: September 2024

In order to show Changsha's unique and recognizable characteristics in the media field, this paper takes the clear positioning of the city, the direction of the crowd and the needs of the users as the starting point, and carries out the design practice and communication promotion based on Changsha's image as the "city of media and art". The study adopts research methods such as practice method, literature method and comparative analysis method, starting from the dimensions of design positioning and design principles, and through the narrative mode of "scene + viewpoint or emotion", the study designs and disseminates the "Changsha City of Media Arts" Shake video number, providing new perspectives for city branding and promoting the city image. It provides a new perspective and method for city branding, and at the same time builds a comprehensive and multi-dimensional spatial ecological communication cluster.
Analysis and Improvement Strategies of Gansu Youth League Official Short Video Content from the Perspective of Recognition
Authors: Wang Yuting , Cui Linxin
Published: September 2024

How to enhance the recognition of new media Official Short Videos among users? This paper selects the Douyin account of the Youth League of Gansu Province for analysis. Based on the literature on evaluating the effectiveness of communication of short videos, this article has developed a model for measuring video identity, and provided content analysis for the 9% of Gansu Youth League members with the highest degree of identity using this model. In the research, this article found that video materials tend to be official and original videos, and tends to focus on comprehensive organization, local content, and positive emotions. High quality video content in the form of video, plus the popular sound effect of only music, and videos with tags to participate in topics or Douyin challenges that last between 1 and 15 seconds, have the greatest chance of gaining user recognition. At the same time, official video sources, original videos, and videos from local sources have the highest correlation with recognition. Therefore, this article believes that in order to gain recognition for future Official Short Videos, more efforts should be made in these three aspects.
The Impact and Application Strategies of Short Video Platforms on International Sports Communication
Authors: Chi Xiaopeng , Yu Yue
Published: September 2024

With the rise and popularization of short video platforms, they are playing an increasingly important role in international sports communication. This article delves into the impact of short video platforms on international sports communication, including positive impacts such as expanding the scope of dissemination, enhancing immediacy and vividness, and promoting cultural exchange. At the same time, it analyzes the challenges faced such as information fragmentation and copyright issues, and proposes corresponding application strategies, aiming to provide reference for better utilizing short video platforms to promote international sports communication.
A Study on the International Communication of Heluo Culture from the Perspective of Digital Humanities
Authors: Zhang Baike , Ji Jun
Published: September 2024

Heluo culture is the submission of material and spiritual culture centered in Luoyang where the Yellow River and Luo River meet. It occupies an important position in the 5, 000-year history of Chinese civilization. With the increasing cultural exchanges and communications at home and abroad, the research of Heluo culture is breaking through regional restrictions and gradually going to the whole country and overseas. Digital humanities are a new research method that applies digital technology to humanities studies by using computer technology as the path. From the perspective of digital humanities, this paper analyzes the bottleneck of international communication of Heluo culture, studies the new way of international communication of Heluo culture based on Internet +, and makes contributions to Chinese culture going out.