bluuebunny/crossref_metadata_2025 huggingface dataset:
Design of a New Signal-generator Based on ASR-ONE
Authors: Liu Zhijie , Chen Liangliang , Zhang Chenxin , Chen Fukang
Published: June 2024

In recent years, with the continuous progress of science and technology and the expansion of application fields, the signal generator, as an important tool in the field of electronic testing and measurement, has played a key role in laboratory, communication system testing and radio spectrum analysis. In order to meet the increasing application requirements and technical challenges, this paper proposes a new design scheme of signal generator, which adopts the artificial intelligence chip ASR-ONE for speech processing, controls the DDS module output and displays the corresponding waveform parameters on the OLED screen. This paper aims to introduce the design principle and key technology of the new generation signal generator based on ASR-ONE. By combining the expertise in the field of artificial intelligence and signal generator, it is committed to providing a more flexible, intelligent and powerful signal generator to meet the needs of a variety of complex application scenarios.
The Design of a New Type Fruit Dicing Machine
Authors: Li Shuo , Wang Ruoyu
Published: June 2024

The demand for fruit is very large, especially fresh-cut fruit is more and more popular, custom-cut fruit machine has emerged. However, the current market of automatic cutting machine exists in general low efficiency, poor applicability of the problem. The author has carried on the market research according to the people's consumption habit, and has completed a new-type fruit cutting machine design. In this paper, a small automatic dicing machine is designed for household use, which adopts the design idea of household appliances, in the work efficiency, product appearance, the use of experience and manufacturing costs to give the most appropriate solution, the use of rotary cutter plus combination of cutter design of raw materials to cut into ding. The structure of the cutting machine is designed by 3D modeling software, and the rationality of the design is verified by movement simulation and finite element analysis. After the design is completed, some physical models are made to verify the working principle of the core structure, and the improvement scheme is put forward. The experiment shows that the fruit cutting machine can complete the specified task, cutting efficiency is higher, fruit waste less, fill the gap in the market, but also provide a reference for other designers.
Research on Energy-saving and Environmentally Friendly Optimization of Building Sand and Gravel Screening Devices
Authors: Chen Xu
Published: June 2024

Sand and gravel are the largest and irreplaceable materials in China's infrastructure construction. Sand and gravel aggregates are the main components of concrete. To ensure the quality of concrete, a large amount of sand and gravel needs to be screened on-site using screening devices. However, existing screening devices cannot change different screening modes according to the quantities of materials, leading to high energy consumption. Additionally, a significant amount of smoke and dust is generated at the feed inlet during screening, which affects the construction environment. This paper aims to design an environmentally friendly and energy-saving sand and gravel screening device to address these issues.
Design and Research of a New Type of Compound Automatic Cleaning Equipment for Vegetables
Authors: Li Shuo , Zhang Yichen , Liu Shijie
Published: June 2024

In order to adapt to different types of vegetable cleaning, improve the quality of cleaning work, this paper designs a home or small restaurant to use a new complex automatic cleaning equipment for vegetables. The equipment adopts the innovative structure of“Pipeline single-cavity multi-mode”. The whole equipment adopts assembly line layout, which is convenient for structural layout and makes cleaning work in order. The cleaning chamber integrates various functions, and different types of vegetables are cleaned in a single multi-function cleaning chamber, so that the volume of the equipment is effectively reduced. The controller automatically adjusts the parameters of the cleaning execution module according to the category of vegetables, adopts different cleaning strategies, and meets the intelligent requirements. Vegetable temporary storage points are arranged on the left and right sides of the equipment, which can greatly improve the cleaning efficiency through reasonable scheduling of cleaning work.
Development and Application of Digitally Intelligent Traffic Signal Lights in the "Internet+" Era
Authors: Yang Haoxiang
Published: June 2024

Traffic signal lights are an important part of the modern urban transportation system and play a vital role in the control and management of urban road traffic. Based on the research background of the "Internet+" era, this paper expounds the combination and spatial application configuration of traffic lights in China, and deeply analyzes the advanced functions of traffic lights after intelligent transformation and upgrading, as well as the convenient and green travel experience provided. By using the example analysis method, through the flow data collection of each entrance road at the intersection of Weiyang Road and Fengcheng 2nd Road in Weiyang District, Xi'an City, with the help of Synchro software, the difference in control efficiency between the use of traditional timing signal lights and the use of intelligent induction collaborative signals is compared, and the necessity of the advancement and development of digital intelligent signal lights is further demonstrated.
Study on Overburden Structure Characteristics and Fracture Evolution Law in Upward Mining at Kuangou Coal Mine
Authors: Yuchi Xiaoqian
Published: June 2024

The development of vertical fractures in the overburden rock below after upward mining of a coal seam can influence the safe mining of both this seam and the seams above. This paper employs the method of physical similarity simulation to experimentally study the overburden structure and fracture evolution law during upward mining of the No. 4 coal seam in Kuangou Coal Mine. The study reveals that the overburden rock of the lower No. 4 coal seam after mining exhibits a typical "three-zone" characteristic, with the caved zone overburden showing a distinct cantilever beam-hinged structure, and the overburden structure of the bending and sinking zone is relatively intact. In the experiment, no significant vertical through-layer fractures were observed during the first five periodic pressures. However, during the 6th to 11th periodic pressure periods, when mining pressure became intense, a total of six vertical through-layer fractures appeared near the coal wall of the working face. These fractures, aligned with the caving angle direction, extended upwards through the No. 3 coal seam located 60m above the No. 4 seam. The overall fracture evolution showed opening during intense mining pressure and gradual closing after the pressure subsided. Two of these vertical through-layer fractures had a larger extension range, eventually reaching the surface. During the upward mining process, the appearance of vertical through-layer fractures did not lead to sliding instability or rapid sinking of the overburden roof. The working face could thus continuously advance. This research has implications for the safe upward mining in similar mines.
Research on Feature Extraction Strategy Based on Improved Empirical Mode Decomposition Method
Authors: Liu Zhaohui
Published: June 2024

An improved empirical mode decomposition method is proposed to address the issues of modal aliasing and endpoint effects that affect the accuracy of fault diagnosis in traditional empirical mode decomposition methods. This method uses a median filter with a variable window when generating the intrinsic mode function (IMF). Compared with the traditional empirical mode decomposition method, the improved empirical mode decomposition method (IEMD) can reduce the mode aliasing and end effect, and improve the efficiency of feature extraction. In the IEMD method, the bearing vibration signals are decomposed by EMD, and the obtained IMF components are processed by a median filter with variable window values, in which the narrow window is used for the high frequency component and the wide window is used for the low frequency component. Then, the filtered internal model function is summed and subjected to a round of empirical mode decomposition to obtain an improved internal model function. The traditional EMD method and the IEMD method are compared by using the accelerated aging test equipment of induction motor bearings. The results show that the IEMD method can separate the characteristic frequency of the early fault of the motor and detect the early fault effectively.
Fuzzy Integrated Network Monitoring and Perception Development of Regional Economic System
Authors: Li Saiwen
Published: June 2024

This study aims to investigate on the fuzzy integrated network monitoring and perception development of regional economic system. Since the change of some indicators in the evaluation of regional economic differences may lead to the change of the overall evaluation effect from good to bad or from bad to good, it is necessary to select the most sensitive, easy to measure and rich in connotation leading indicators among the many indicators as the evaluation indicators. According to the algorithm of fuzzy integration and fuzzy data fusion, this paper constructs a comprehensive fuzzy evaluation index system of regional economic, such as economic development scale. Based on the system, this paper studies the fuzzy integrated network monitoring and sensing method. Then, the principal component analysis method of fuzzy control is further applied. With the help of SPSS statistical software, taking the national economic development in 2021 as an example, the general method and specific steps of constructing the comprehensive evaluation index system of regional economic differences are given. The experimental results show that this method has certain reference value for the fuzzy integrated network monitoring and perception development of regional economic systems.
Review of Cadmium Pollution in Preboiled-Rice
Authors: Jing Lv , Bingyue Zong
Published: June 2024

Based on the preboiled-rice processing technology, the distribution and form of cadmium in rice seeds were analyzed and summarized. The origin and development of preboiled-rice and its processing technology were elaborated in detail. The characteristics and hazards of heavy metal cadmium, the existence and distribution of cadmium in rice, the detection of cadmium content in rice seeds and its processing and reduction technology were discussed scientifically and systematically. To explore the possibility of processing rice contaminated with cadmium into usable rice. To reduce a certain degree of metal cadmium and improve the use quality of preboiled-rice, and to provide a reference for the process of rice soaking cadmium in the process of preboiled-rice processing, to expand the ideas for the rational use of cadmium contaminated rice,hoping to greatly reduce the waste of food, and at the same time to play a certain guiding role in the development of rice processing industry.
Comprehensive Assessment and Simulation of Eutrophication of Hasu Sea Water Environment in Inner Mongolia
Authors: Haiying Huo , Hao Zhang , Zigeng Han , Rong Qu , Dong Quan , Xinpei Ji , Dalu Zhao , Hao Fu , Luchen Wang
Published: June 2024

Hasuhai is situated in Hohhot's Tumet Left Banner. In recent years, due to tourism, some natural causes and human activities, the eutrophication of Hasuhai has gradually increased. Data from each Hasuhai monitoring point between May and July 2021 are first obtained for this paper，and analyzes the TP, TN, SD, CODmn and Chl in the data A Each element is analyzed, and then the comprehensive trophic state index method is used to evaluate the trophic state of the lake. The evaluation results of the comprehensive nutritional status index method showed that the scores in May and July were 58.18 (slight eutrophication) and 67.12 (moderate eutrophication), demonstrating that the eutrophication in the summer was more than that in the spring and that the process of interannual change had a tendency to gradually deteriorate, which calls for attention to better governance. Chlorophyll (Chl. a), transparency (SD), and total phosphorus (TP), which account for 23.94%, 23.05%, and 20.18% of the Hasu Sea's eutrophication, respectively, are found to have a significant impact on the process. Through comprehensive analysis, it is concluded that the Hasu sea water body is greatly affected by the surrounding canals.
Classification and Unified Expression of General Aircraft Product Functions
Authors: Liu Hang , Wang Yi , Jia Wen , Liu Hanyang , Zhang Zhihui , Guo Baoying , Wei Xiaobao
Published: June 2024

With the continuous progress of The Times, the complexity and innovation of products in the design and manufacturing process are gradually increasing. Because of the interdependence and coupling between the composition or function of complex products, the product development cycle is greatly extended, and the problem of low reuse in the design process is also caused. This paper aims at the problems of product function coupling, iteration and reuse. By analyzing the design status of domestic complex products and adopting the combination of black box model, complex network model and GA genetic algorithm. The model of product function classification and unified expression is put forward. Finally, the helicopter engine power plant is taken as an example to demonstrate. It helps demonstrating the validity of the research and provides an effective reference for the design of general aircraft product functions.
Research on the Curriculum Reform Practice of the Integration of "Post Course Competition Certificate" in Logistics Management Major of Vocational Colleges
Authors: Tian Meili
Published: June 2024

The "Opinions on Promoting the High-Quality Development of Modern Vocational Education" is pointed out that it is necessary to improve the comprehensive education mechanism of "on-the-job course competition certificate", design and develop courses according to actual production and job needs, and enhance students' practical abilities. The author focuses on the core courses of logistics management and focuses on cultivating the abilities required for enterprise positions. They align with the standards of the National Vocational College Skills Competition and the 1+X certificate, restructure teaching content, reform teaching methods, innovate evaluation models, and propose a new paradigm for curriculum reform that integrates "job course competition certificate".
Research on the Internationalization Strategy of Chinese Private Enterprises: Taking Huawei as an Example
Authors: Hu Leqiong
Published: June 2024

In the context of global technological revolution and rapid development of global economic integration, the private enterprises in our country face more challenges. In the new era, China's economy has shifted from high-speed growth to high-quality development; this puts forward higher requirements for the development of private enterprises in China. Facing new challenges and requirements, it is an important way to improve the international competitiveness of China's private enterprises to do a good job in the internationalization strategy. Therefore, this paper analyzes the current situation and development motivation of the internationalization of private enterprises in China, and finds the problems in the development of the emerging stage. Taking the internationalization of Huawei Group as a case, this paper analyzes the survival of the fittest in the development of Huawei Group's internationalization, and deeply analyzes the successful experience and lessons of Huawei Group's internationalization strategy. Combined with the national conditions of our country, this paper puts forward the enlightenment for the internationalization development of private enterprises in our country.
Reflections on the Current Situation of Cosmetics Export Trade in Guangdong Province under the New Situation
Authors: Zhao Yingxia , Zhang Yandong
Published: June 2024

At present, we are facing an increasingly complex new economic situation, such as the global economic downturn, the rapid development momentum of cross-border e-commerce and digital economy, and intensified competition in various industries. The Chinese cosmetics industry is also facing problems such as poor sales in the international market, and the cosmetics trade has been in a long-term deficit state, with serious deficiencies in international competitiveness. However, with the support of relevant national policies, the upgrading of residents' consumption structure, the gradual opening and diversification of the domestic market environment, and the improvement of the quality and technical level of domestic products, the scale of China's cosmetics industry exports has shown a high-speed growth trend. As a major province in China's economy and foreign trade, Guangdong province has a rich variety of cosmetics exported, with considerable sales volume and strong representativeness. This article conducts a typical analysis of the export trade of cosmetics in Guangdong Province, addressing the issues in product composition, safety, research and development capabilities, and proposing some countermeasures and suggestions to enhance the international competitiveness of the cosmetics industry in Guangdong Province under the new situation.
Research on the Application of School-enterprise Collaborative Education Model in Cultivating Practical Personnel in Universities
Authors: Zhang TaoLin
Published: June 2024

With the new round of industrial and technological revolution, enterprises have higher requirements for the practical and innovative abilities of talents, and the traditional talent training model is no longer suitable for the demand of social development. Therefore, universities must comply with the needs of the times, comprehensively promote school enterprise cooperation, innovate school enterprise collaborative education models, and cultivate students' comprehensive qualities. The paper takes the significance of the school-enterprise collaborative education model as the starting point, analyzes the current development difficulties of collaborative education in universities from multiple perspectives, and proposes a series of optimization strategies. It aims to provide certain reference for universities.
Multidimensional Quality Improvement of Teaching Models and Curriculum Resources under the Empowerment of Digitization
Authors: Xu* Hui , Lin Biyu , Zhuang Weijing
Published: June 2024

In the rapidly evolving landscape of information technology, the concept of smart education has emerged as a progressive notion. Building digitalized curriculum resources and advancing teaching methods empowered by digital technology have become essential choices to achieve educational progress. Therefore, this paper aims to explore the significance and approaches of constructing digitalized curriculum resources and enhancing the quality of education under the empowerment of digitization. This research intends to leverage advanced technologies such as intelligent data analysis and state-of-the-art cloud-based devices. It revolves around modern innovative educational theories and experimental teaching concepts, aiming to establish a virtual simulation teaching and experimental platform. Simultaneously, it aims to facilitate the exchange and professional development of educational management personnel and teachers. The research also involves organizing student internships and practical training activities, following the principles of practical teaching and extensively applying information technology. By integrating digital online resources with classroom teaching, the goal is to foster multidimensional experimental teaching resources. Ultimately, this endeavor seeks to enhance students’ self-learning abilities, cultivate their professional competence, and facilitate their personalized development.
Construction of Intelligent Platform for College Student Management under the Background of Digital Transformation
Authors: Yang Li , Geng Chunxi , Zhang Yi
Published: June 2024

The ways of information processing in all walks of life change tremendously in the digital age, especially with the spread of education. Colleges and universities pay more attention to fostering students’ comprehensive quality besides mastering their subject knowledge. The training and management of students need extensive information interaction with all participants related to students’ development, resulting in a huge amount of data. The traditional student management platform can not meet the needs of student information management in colleges and universities. Under the background of digital transformation, by introducing new technologies such as workflow engine and data middle platform, a new intelligent management platform for college students is constructed, which can realize data sharing. It can promote the informatization and standardization of student management, and empower students’ comprehensive quality evaluation with the help of information technology.
The Assistance to Education Digital Transformation by ChatGPT: The Prospective Teachers’ Training Strategy for Cultivating Informatization Teaching Ability
Authors: Li Danchun
Published: June 2024

The generative artificial intelligence technology represented by ChatGPT is developing rapidly and has caused multiple controversies in the field of education. As the main source of teachers' power in basic education in China, students’ information-based teaching ability has a directly effect on the quality of basic education in the future. Therefore, in the context of the digital transformation of education, this paper adopts the literature research method to analyze the significance and value of generative AI such as ChatGPT in promoting the digital transformation of school education, and focuses on trying to respond to the major practical problem of “information-based teaching ability cultivation strategy of normal university students” in the era of industrial intelligence from four aspects. It improves the information-based teaching ability of normal university students.
Design of a Live Pig Breeding System Based on ZigBee
Authors: Song Shihua , Liu Changyu , Liu Chenyu , Zhao Tengfei , Lan Xinqiang
Published: June 2024

This paper designed a breeding system based on ZigBee. The system consists of an environment detection module based on ZigBee technology and a video monitoring module based on BP neural network algorithm. The environment detection module is a wireless sensor network based on ZigBee technology. The sensors with different functions interact with the data through the ZigBee wireless communication module, and monitor the environment under the coordinated control of the router and the main control. The video surveillance module adopts the deep learning mode based on BP neural network algorithm, with Raspberry PI as the main control unit, and equipped with deep learning algorithm to identify the body temperature and behavior of pigs, and facilitate the management of pigs by users. The system can effectively monitor the environment of pig houses, the behavior and health of pigs, and improve the efficiency of breed ink the data.
Construction and Research of the Virtual Teaching and Research Office of "Weapon Aesthetics"
Authors: Zhou Xian , Nie Ying , Chu Miao
Published: June 2024

In order to improve teaching quality, raise the academic bar for teaching and research, and foster the development of creative talent, colleges and universities have undergone a significant transformation in the form of the virtual teaching and research office. The virtual teaching and research office of the weapon aesthetics course group is founded on the basis of information technology, which promotes the development of weapon aesthetics and raises the standard of instruction through research projects and multimodal instruction, cross-specialty the weapons aesthetics course group building, the expansion and integration of teaching resource library, and the leadership of first-class professional teachers. The results of the study show that students are satisfied with the teaching model as a whole, and are especially satisfied with the quality of teaching resources.
Research on Optimisation Strategies of Data Literacy Education in Higher Education Libraries Shelf of Information Literacy in Chinese Higher Education Libraries
Authors: Junli Zhang
Published: June 2024

Amidst the epoch of immense data, accompanied by the burgeoning prevalence of investigations into data literacy and the educational aspects thereof, various university libraries have also begun to learn from successful experiences abroad and conduct scientific research on data literacy education. In the realm of information technology, the focal point of research has shifted towards the burgeoning prominence of data literacy education, but the theoretical and practical research on data literacy is relatively weak and insufficient, and more detailed research is needed to address the existing problems. The article reviews the research on data literacy both domestically and internationally, focusing on cultivating readers' data awareness, developing reasonable teaching content, constructing a data literacy teaching system and integrating data literacy resource platforms, and building a professional and efficient data literacy teaching team. The article explores the optimization methods for reader data literacy education.
Multicultural Heritage of "Min-Taiwan King-sending Boat" in the Digital Age
Authors: Yu Die , Lin Shiyin , Wang Yingtian , Liu Dengpan , Liang Jiacheng
Published: June 2024

As a kind of folk beliefs and religious ceremonies that are mainly prevalent in south China and southeast Asian Chinese communities, the inscription of "sending the king's boat" into the Intangible Cultural Heritage (ICH) has its specific theoretical concerns and practical significance. In this paper, we take the intangible cultural heritage of "Min-Taiwan King Sending Boat" in Zhongshan Village, Haicang District, Xiamen, Fujian Province as an example, analyse the current situation of the development of intangible cultural heritage and its dilemmas through a field visit, and explore the new cultural connotations of "Min-Taiwan King Sending Boat" under the present digital era, and explore the advantages of the internet and the Xiamen tourism market to promote the development of intangible cultural heritage in Xiamen, Fujian Province. It explores the new cultural connotation of "Fujian-Taiwan King-sending Boat" in the present digital era, and explores the possibility of diversifying its inheritance by taking advantage of the Internet and Xiamen tourism market.
A Collaborative Training Mechanism for Accounting Digital Intelligence Talents Based on the Triple Helix Theory
Authors: Liao Feimei , Lai Haifeng
Published: June 2024

In the age of digital intelligence, the accounting industry is undergoing significant transformations and encountering challenges. The Internet, big data, information technology and artificial intelligence are gradually becoming central to all aspects of accounting practice. This digital acceleration has placed greater demands on the quality of accounting talent, as businesses undergo transformations and upgrades. Accounting education must adapt to these trends to meet the demand for intelligent accounting talent. From the perspective of the "triple helix" theory, this paper examines the role and influence of tripartite collaboration among the government, universities, and industry in developing accounting talent in China. It addresses the development dilemma of accounting talent and proposes a mechanism for collaborative training of accounting talent between multiple stakeholders.
Research Progress on Protection and Development of Traditional Villages in China
Authors: Huang Li
Published: June 2024

The crisis of rural decline has become a global problem all over the world and an important part of the global governance system. The protection and development of traditional villages have become an important issue of social concern. At present, the protection of traditional villages in China has entered the stage of scientific research from the stage of investigation. By reviewing, sorting out and analyzing the research results of various scholars, this paper puts forward some thoughts for the follow-up research direction of the protection and development of traditional villages, and provides some ideas for inheriting and promoting rural traditional culture and cracking the crisis of rural decay.
Design and Integration of Interdisciplinary Curriculum Based on Artificial Intelligence
Authors: Ruxiang Liu , Yue Tai
Published: June 2024

Artificial intelligence has been applied to every aspect of people’s lives in the rapidly developing society. In order to improve the effectiveness of artificial intelligence reform in institutions of higher learning, this paper analyzes the possible utility of artificial intelligence in the design and integration of interdisciplinary courses and the prerequisite for the application of artificial intelligence. A questionnaire survey was conducted on the current situation of the interdisciplinary curriculum design and integration of AI in Colleges and universities, and the results of the questionnaire survey were analyzed. The author puts forward the countermeasures and suggestions on the design and integration of interdisciplinary courses based on artificial intelligence, and provide suggestions for the design and integration of interdisciplinary courses in the teaching of higher institutions.
Research on the Influence of Mobile Phone Dependence on the Mental Health of Secondary Vocational Students
Authors: Cong Yixia
Published: June 2024

In order to explore the relationship between mobile phone dependence and the mental health of secondary vocational students, 269 secondary vocational students were studied with mobile phone dependence questionnaires and mental health questionnaires. The study found that there were differences in whether secondary vocational students were only children (P<0.05), and there were differences in withdrawal symptoms, prominent behavior, social comfort, and mood change (P<0.05). There is no difference in gender and grade of mobile phone dependence among secondary vocational students. The problem of mobile phone dependence is increasingly serious, affecting the physical and mental health of secondary vocational students, which can’t be ignored, and has become a problem that schools and families urgently want to solve.
Embedded Intelligent Elderly Care System Based on Deep Learning
Authors: Lu Yun , Li Saiwen
Published: June 2024

At present, the elderly care service industry has the problems of low information integration and low data utilization. To solve the above problems, building an embedded pension service platform is one of the most effective means. This paper constructs an embedded pension service model based on deep learning. In this paper, a multi-objective optimization recommendation algorithm based on artificial immune is used to generate service recommendation candidate sets. Develop an embedded personalized elderly care service platform according to the candidate set. This paper makes a detailed demand analysis and functional module design of the elderly service recommendation system, and finally designs and implements the embedded elderly service system. The experimental results show that compared with the user based collaborative filtering algorithm and the improved collaborative filtering, the highest accuracy of this method is improved by 0.09 and 0.07 respectively, and the highest service satisfaction is improved by 2.05 and 2.4 respectively. This method has certain reference value for the research of embedded intelligent elderly care system based on deep learning.
The Study of Physical Education on Physical Health Development of College Students in Special Groups
Authors: Yanfeng Yan
Published: June 2024

With the improvement of China's economic level and the advancement of education fairness, there are more and more students with special groups in colleges and universities. By using the methods of literature analysis and summary, this paper studies the physical education status and physical health of students in special groups in colleges and universities, discusses the impact of physical education on physical health, mental health and social ability of students in special groups in colleges and universities, and analyzes the current situation of physical education on the physical health development of students in special groups in colleges and universities. This paper puts forward the implementation strategy of physical education in special group students in colleges and universities, and puts forward reasonable suggestions combining the physical and mental characteristics of students and the actual situation of colleges and universities, aiming at providing scientific basis and practical guidance for physical education of special group students in colleges and universities.
Design and Implementation of Kidney Stone Prevention and Treatment Information Management
Authors: Wei Xiuxiu , Huang Zhaoming
Published: June 2024

The arrival of the big data era has led to higher requirements for information systems and their management. In order to strengthen the information management of kidney stone prevention and treatment. We developed a WeChat program for kidney stone prevention and treatment information management, using SpringBoot as the framework, B/S mode and MySql as the database running in the background. The system mainly includes the following functional modules: home page, personal center, doctor management, user management, health information management, health assessment management, online message, system management and other functions. The design and application of the information management system for kidney stone prevention and treatment have been completed. The end-users of the system are able to acquire the knowledge related to kidney stone control and prevent kidney stone disease through this system.
A Survey and Analysis of the Mental Health Status of University Freshmen: A Case Study of Tongling University
Authors: Ying Han
Published: June 2024

The mental health status determines how adolescents serve society is crucial for their development. A survey was conducted on the mental health status of freshmen in Tongling University using a questionnaire survey combined with SCL90. A total of 177 valid questionnaires were collected. The results showed that the scores of obsession and interpersonal sensitivity factors ranked in the top two, with these two factors having more problems. There are significant differences between males and females in seven aspects: somatization, obsessive-compulsive symptoms, depression, anxiety, hostility, paranoia, and psychosis. There is a significant difference between only child and non-only child in terms of hostility and paranoia. A healthy and harmonious family can have a certain impact on the mental health of students. The healthier and more harmonious the family is, the fewer psychological problems it will have. Therefore, different mental health solutions should be provided for different types of students, emphasizing the establishment of a harmonious family environment and strengthening education on student mental health issues in schools.
Construction and Intervention Effectiveness Analysis of a Combined Cough and Asthma Pharmacy Outpatient Service Model for Children's Asthma
Authors: Fengping Yang , Gang Chen , Runxiao Huang , Hui Yao , Wenting Fu
Published: June 2024

To explore the service model and application effectiveness of cough and asthma pharmacy combined outpatient service for chronic respiratory diseases, researchers collected 107 cases of childhood asthma from July 2021 to December 2022, and divided them into two groups based on their age, receiving routine pharmaceutical services and personalized pharmaceutical services. Children under 5 years old received TRACK scores, while children over 5 years old received C-ACT scores to evaluate their asthma control, and statistical analysis was conducted. After providing pharmaceutical services, the TRACK score and C-ACT score of the experimental group were significantly higher than those of the control group, and the differences were statistically significant. The joint medical clinic established by clinical pharmacist cough and asthma pharmacy and pediatric asthma standardization clinic can significantly improve the treatment effect of pediatric asthma, and reduce recurrence rate and treatment costs.
Utilization of WebGIS for Visualization of the Distribution of Tourist Destination Religious Objects in Nagari Batuhampar of Lima Puluh Kota Regency, West Sumatera Province
Authors: Susetyo Bigharta Bekti , Purwaningsih Endah , Sutriani Widia , Purnamasari Eva , Bagus Muhamad Ikhwan
Published: June 2024

Nagari Batuhampar has several tourist attractions planned as object tourist destinations in the strategic plan. However, publication and presentation on social media are less effective in promoting the unique characteristics of tourist attractions. This research aims to identify the distribution of tourist destination objects in   Nagari Batuhampar, followed by comprehensive information. The type of research used is descriptive survey research with the waterfall method, which consists of requirement analysis, system analysis, system implementation, system testing, system evaluation, operation, and maintenance. Data collecting techniques include observation using GPS and documentation, interviews to obtain information for web development, and questionnaires. Furthermore, the built-in data application QGIS 3.32.3” Lima” is open source. WebGIS, built using the Database Management System (DBMS) approach, is designed as software to manage big data. Big data is meant to be a collection of lots of data tailored to the project being carried out, such as mapping the distribution of public facilities and village potential. In this research, DBMS focuses on spatial data and religious and supporting tourism attributes. This is focused on data on religious and supporting tourism attributes. The result found that historical religious tourist attractions dominated the distribution of attractions in Nagari Batuhampar. The WebGIS of Tourist Destination Object was constructed using a waterfall method that was effectively created. This development was conducted through system evaluation tests, resulting in most respondents being satisfied with the process's performance.
Leveraging Various Feature Selection Methods for Churn Prediction Using Various Machine Learning Algorithms
Authors: Kusnawi Kusnawi , Ipmawati Joang , Asadulloh Bima Pramudya , Aminuddin Afrig , Abdulloh Ferian Fauzi , Rahardi Majid
Published: June 2024

This study aims to examine the effect of customer experience on customer retention at DQLab Telco, using machine learning techniques to predict customer churn. The study uses a dataset of 6590 customers of DQLab Telco, which contains various features related to their service usage and satisfaction. The data includes various features such as gender, tenure, phone service, internet service, monthly charges, and total charges. These features represent the demographic and service usage information of the customers. The study applies several feature selection methods, such as ANOVA, Recursive Feature Elimination, Feature Importance, and Pearson Correlation, to select the most relevant features for churn prediction. The study also compares three machine learning algorithms, namely Logistic Regression, Random Forest, and Gradient Boosting, to build and evaluate the prediction models. This study finds that Logistic Regression without feature selection achieves the highest accuracy of 79.47%, while Random Forest with Feature Importance and Gradient Boosting with Recursive Feature Elimination achieve accuracy of 77.60% and 79.86%, respectively. The study also identifies the features influencing customer churn most, such as monthly charges, tenure, partner, senior citizen, internet service, paperless billing, and TV streaming. The study provides valuable insights for DQLab Telco in developing customer churn reduction strategies based on predictive models and influential features. The study also suggests that feature selection and machine learning algorithms play a vital role in improving the accuracy of churn prediction and should be customized according to the data context.
Republic Act 11032 Policy Implementation and Customer Satisfaction in Calamba Water District: Basis for Action Plan
Authors: Quiatchon Joseph Bernard
Published: June 2024

This research investigated the relationship between the implementation of Republic Act 11032 and customer satisfaction within the Calamba Water District (CWD) in Laguna province. The study aimed to identify the factors influencing CWD’s ability to achieve optimal customer satisfaction by the Act's regulations by examining challenges, concerns, and potential obstacles. Employing a descriptivecorrelational quantitative research design, the study surveyed 428 respondents, including 61 Commercial Department personnel and 367 concessionaires, who were randomly sampled. Data collection was conducted using an adapted research instrument. The findings indicate a significant relationship between the level of Republic Act 11032 policy implementation and customer satisfaction in CWD. The probability values of .000, .012, .000, .001, .000, .000, .000, .000, .000, .000, .000, .000, and .000 were less than the level of significance at .05, thus the null hypothesis was rejected. However, this relationship was not significant in areas such as Citizen’s Charter Provisions and Basic Facilities, Government Access through Frontline Services and Basic Facilities, and Zero Contact Policy and Basic Facilities. The probability values of .449, .849, and .855 were greater than the level of significance at .05, this accepting the null hypothesis. Based on these findings, the study proposes an action plan aimed at enhancing current implementation strategies and introducing innovative approaches. This plan focuses on improving communication between the District and its stakeholders, investing in better facilities, and enhancing the skills of frontline employees to boost productivity and customer confidence. Consequently, the research contributes to the development of effective strategies for policy implementation in public service organizations, promoting a culture of transparency and accountability.
Marine Pollution and Waste Management
Authors: A Abirami
Published: June 2024

Water covers more than 70% of the surface of the globe. The ocean, which is amazing and significantly controls the world's climate, also has a hidden crisis, namely marine pollution. In the modern world, marine pollution is becoming a bigger issue. Article 1 (1) (4) of UNCLOS : says that “Pollution of the marine environment” means the introduction by man, directly or indirectly, of substances or energy into the marine environment, including estuaries, which results or is likely to result in such deleterious effects as harm to living resources and marine life, hazards to human health, a hindrance to marine activities, including fishing and other legitimate uses of the sea, impairment of quality for use of seawater and reduction of amenities”. Chemicals and garbage, most of which originate on land and are blown or carried into the water, are the two main components of marine pollution. Marine pollution, caused by human activities like improper disposal, shipping, and overfishing, harms ecology, health, and global economic institutions. Solutions include international agreements, sustainable fishing, improved waste disposal, and raising awareness. Education-based campaigns have the power to inspire citizens, groups, and governments to action. The legislative reforms and sustainable practices are significantly aided by environmental organizations and advocacy groups. The government has made several notable efforts, such as the plastic ban, marine protected areas, clean-up programs, and environmentally friendly fishing. Several countries have enacted plastic bags, which have significantly reduced the amount of plastic pollution, while the ocean may not be affected. Creating marine protected zones helps safeguard biodiversity and gives damaged ecosystems a place to recover. This article gives a general overview of the complex issue of marine pollution and shows how important it is to have efficient waste management plans. It investigates diverse marine pollution types and causes, emphasizing the dangers it poses, such as biodiversity loss, potential health hazards for humans, and significant financial expenses.
Statistical and computational methods for integrating microbiome, host genomics, and metabolomics data
Authors: Deek Rebecca A , Ma Siyuan , Lewis James , Li Hongzhe
Published: June 2024

Large-scale microbiome studies are progressively utilizing multiomics designs, which include the collection of microbiome samples together with host genomics and metabolomics data. Despite the increasing number of data sources, there remains a bottleneck in understanding the relationships between different data modalities due to the limited number of statistical and computational methods for analyzing such data. Furthermore, little is known about the portability of general methods to the metagenomic setting and few specialized techniques have been developed. In this review, we summarize and implement some of the commonly used methods. We apply these methods to real data sets where shotgun metagenomic sequencing and metabolomics data are available for microbiome multiomics data integration analysis. We compare results across methods, highlight strengths and limitations of each, and discuss areas where statistical and computational innovation is needed.
Signatures of Bayesian inference emerge from energy efficient synapses
Authors: Malkin James , O’Donnell Cian , Houghton Conor , Aitchison Laurence
Published: June 2024

Biological synaptic transmission is unreliable, and this unreliability likely degrades neural circuit performance. While there are biophysical mechanisms that can increase reliability, for instance by increasing vesicle release probability, these mechanisms cost energy. We examined four such mechanisms along with the associated scaling of the energetic costs. We then embedded these energetic costs for reliability in artificial neural networks (ANN) with trainable stochastic synapses, and trained these networks on standard image classification tasks. The resulting networks revealed a tradeoff between circuit performance and the energetic cost of synaptic reliability. Additionally, the optimised networks exhibited two testable predictions consistent with pre-existing experimental data. Specifically, synapses with lower variability tended to have 1) higher input firing rates and 2) lower learning rates. Surprisingly, these predictions also arise when synapse statistics are inferred through Bayesian inference. Indeed, we were able to find a formal, theoretical link between the performance-reliability cost tradeoff and Bayesian inference. This connection suggests two incompatible possibilities: evolution may have chanced upon a scheme for implementing Bayesian inference by optimising energy efficiency, or alternatively, energy efficient synapses may display signatures of Bayesian inference without actually using Bayes to reason about uncertainty.