bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Blended Instructional Design for Civil Litigation Combining Multi-Objective Optimization Algorithms in a Rule of Law Context
Authors: Su Tingting 
Published: December 2023

Abstract
The current traditional means of teaching adopt the indoctrination teaching mode. Students passively accept information, learning enthusiasm is not high, and the traditional teaching mode needs to be reconstructed urgently. This paper constructs a blended teaching mode for civil litigation based on the WeChat public platform and provides the implementation process for the blended teaching mode. In order to enable students to obtain civil litigation-related resources more in line with the learning characteristics of the WeChat platform, a multi-objective learning path optimization algorithm is proposed, and the discrete binary particle swarm algorithm is used to optimize and solve the multi-objective learning path. The teaching experiment method is utilized to select the research object and method to study the teaching effect of the blended teaching mode and then obtain the students’ satisfaction with the blended teaching mode. The results show that through the BPSO algorithm, after the number of iterations reaches 150 times, its fitness value is around 10-5, the average running time of the 20 test functions is around 500ms, and the mean value of students’ satisfaction with the blended teaching mode is 9.31 points. The blended teaching mode of civil litigation in the context of the rule of law can help students better establish the thinking of the rule of law and promote the improvement of students’ learning ability, and multi-objective optimization can help students better obtain the optimal learning path.
The contemporary value, basic framework and realization mechanism of the rule of law in rural revitalization
Authors: Yuan Xinli , Zhang Qunsheng , Jin Shi 
Published: December 2023

Abstract
With the goal of exploring the efficiency of the rule of law in rural revitalization, this paper analyzes the governance outcomes of the rule of law in rural revitalization from three aspects: the value of the times, the basic framework, and the mechanism of realization. The process of rural rule of law institutional change can be constructed by analyzing the mechanism characteristics of institutional change. The super-efficient SBM model is constructed based on the DEA method, and the modernization of rural governance capacity is solved by combining the governance theory, so as to achieve the effect of measuring the efficiency of rural revitalization of the rule of law. Improve the accuracy of efficiency measurement by adding the Malmquist index. The efficiency test model for rural revitalization rule of law is constructed to test the effects of rural rule of law. The results show that the epochal value of the rule of law in rural revitalization is mainly reflected in the scientific, digital and normative aspects, and the digital value embodied in the highest proportion of 0.8137, followed by normative, the value embodied in the degree of 0.7908. The content of ecological revitalization rapidly increases from 4 to 70 after the 5th cycle, and the degree of influence peaks in the 12th cycle. The research in this paper provides a new governance direction for the rule of law in rural revitalization, which can further improve the rule of law system in rural areas.
An empirical study of the impact of biological information dissemination in social media on public science literacy
Authors: Tang Pei , Zhang Mengxiao 
Published: December 2023

Abstract
In this paper, we first establish a locally converged bioinformatics dataset based on gradient sampling and design an optimal data mining control model to improve the accuracy of bioinformatics big data feature mining. The performance of the Compressive Tracking algorithm and Online Bosting algorithm is compared with the mining error as a test index. At the same time, we propose a social media information dissemination algorithm applicable to large-scale social network datasets, taking the degree value of each node as the node’s full influence and comparing and analyzing the dissemination influence of BP-IM, RAND and MC-CELF algorithms. Finally, taking public health big data as the research object, the least squares regression method was used to analyze the influence of the amount of public attention to bioinformatics scientific knowledge on their scientific literacy in different media. The results showed that there was a significant positive correlation between scientific literacy and willingness to engage in science participation behavior on social media when the amount of public attention to scientific information was β =0225, p <0.01. When more people are interested in scientific knowledge of bioinformatics on social media, their scientific literacy will improve.
An analysis of the application of computer-assisted instruction in the teaching of physical education yoga
Authors: Qian Zhi 
Published: December 2023

Abstract
In this paper, according to the TOF method in the principle of Kinect V2.0 depth measurement, the Kinect data stream can be obtained, which can realize the real-time acquisition of the user’s yoga movement data. On the basis of the extraction of joint motion features, the position of each joint point in the model under the model coordinate system is calculated sequentially using the action redirection algorithm. For the intermittent problem of keyframes in the yoga action screen of the joints, it is necessary to optimize the analysis of yoga action recognition through the action keyframe interpolation method. Starting from the demand for sports yoga teaching, we determine the design scheme of a computer-aided yoga teaching system, realize the design of a computer-aided yoga teaching system based on the system development platform and programming program, and test the performance of the computer-aided yoga teaching system by using simulation analysis. The results show that the yoga movement redirection algorithm, when matching the data information of the same movement, the distance value is 1 to 2 orders of magnitude smaller compared to the matching distance between different yoga movement sequences, and the use of the joint angle value can find out the joints where the trainer’s movement is not up to the standard, and the yoga trainer can reasonably adjust the movement based on the similarity and the joint angle value given by the system to achieve the purpose of yoga training.
Analysis of the timeliness of teaching methods in student management in the comprehensive development-oriented higher education civic politics
Authors: Chen Xianglei 
Published: December 2023

Abstract
This paper constructs the ADDIE-F teaching model based on the ADDIE model by introducing the feedback link and carries out the design of Civics teaching methods in colleges and universities based on the model. For the teaching of Civics in colleges and universities, the research object and the selection of teaching experimental methods are designed, and the index system is constructed to evaluate the quality of Civics teaching. The entropy weight method was utilized for the calculation of indicator weights, and the TOPSIS method was used for evaluating the quality of Civics teaching. In order to verify the timeliness of the method given in this paper for promoting the comprehensive development of students as well as student management, this paper carries out a practical application analysis. The results illustrate that the average score of the experimental class before and after the Civics teaching design experiment is 78.52, which is 15.06 points higher than that before the experiment, and the students’ comprehensive literacy situation shows a significant difference at the 5% level. Thus, the Civics teaching design based on the ADDIE-F teaching model under the guidance of comprehensive development can promote the improvement of students’ Civics literacy.
Research on Multi-Domain Intelligent Customer Service Dialog Modeling with Integrated Transfer Learning Strategies
Authors: Cao Xiaopan , Dong Xueting , Li Chuang , Zhang Baoliang , Liu Fan 
Published: December 2023

Abstract
The intelligent customer service dialog model is centered on human-machine dialog, which has good prospects for commercial applications in multiple domains. In this paper, we use the Siamese-LSTM model to do vectorization of questions in the FAQ question and answer database to get the semantic representation vector of sentences, and then use the approximate retrieval algorithm to index the question and answer database and perform approximate nearest-neighbor retrieval of the query. After completing the question query, migration learning is employed to create a mapping between input questions and human responses, enabling the model to produce sentences that are similar to human responses. Tests show that the task success rate gradually stabilizes around 0.80 at about the 100th round and fluctuates up to around 0.986 after that. For the average number of conversation rounds, migration learning improves the conversation efficiency of intelligent customer service, and the average number of conversation rounds gradually stabilizes at about 150 rounds and eventually stabilizes at about 4.2 rounds as the number of training rounds increases. The transfer learning strategy helps machine responses to be as close to human responses as possible.
A Design Study on the Design of Customer Claims Management System for Qinghai Electric Power Company
Authors: Li Bingsheng , Su Hongbang , Lin Yongxiang , Zhou Baowei , Yan Shengping , Ma Guisheng 
Published: December 2023

Abstract
This paper utilizes the SOA framework to realize the system structure design, combined with the total flow of the claim processing, the design of the acceptance and audit processing, responsibility determination and reminder management of 4 modules, constituting the customer claim management system as a whole. The improved LEACH algorithm is utilized to control the network topology, and the cluster tree combined with data fusion is used to reduce the energy loss of the nodes in the network. Based on the weighted queuing scheduling algorithm, the feedback processing module is designed to determine the grouping rules and calculation methods, and the decision tree algorithm is used to build the demand management prediction model. The accuracy of the prediction of the decision tree algorithm is verified to realize the case information management statistics. Analyze the utility of the improved LEACH algorithm and test the system’s performance. The experimental results show that the improved LEACH algorithm is more balanced in the range of [0,100] dead nodes, and the energy consumption is well balanced. The total delay is 16.13-time slots, which is the lowest delay among the four algorithms. The node death time is 1045 rounds, having the longest network life cycle. The system performance is tested using IO and memory-intensive loads. Before writing a file of 16GB, the system time responsiveness stays around 80%, and the system CPU utilization and disk IO utilization increase as the file is written. The system performance is good.
Research on the Role of Geographic Literature in the Establishment of Tourism Image in the Context of Informatization
Authors: Huang Zhaohui , Zhu Chunxue , Li Xingyu , Huang Xue , Li Liangjun 
Published: December 2023

Abstract
This paper utilizes web crawler in network text mining technology to obtain the Jiangsu garden review data on several OTAs and tourism UGC platforms, such as Baidu Tourism, Ctrip.com, and Ma’s Nest. The data preprocessing work such as text de-weighting, word frequency classification, and parameter solving is carried out on the document dataset by using the lexical algorithm, and the preprocessed text data is subjected to TF-IDF keyword extraction and LDA topic extraction. Starting from the characteristics of the cultural lineage, the intrinsic attraction elements affecting the commercial transformation of tourist attractions are explored, and taking the planning of the industrial, cultural tourism town in Ezhou as an example, the process of planning and designing from the establishment of tourism planning concepts, and thus the completion of the visual IP image, is elaborated. The tourism image perception of the four major gardens in Jiangsu is examined from both cognitive and emotional perspectives using the results of TF-IDF and LDA extraction. The results show that the trend of the frequency of each fraction of the emotion of the Humble Administrator’s Garden, Liouyuan Garden, Lion Grove, and Canglang Pavilion scenic spots is roughly the same, and the mean value of emotion is 0.758, 0.851, 0.828, and 0.845, respectively, reflecting the tourists’ average emotional perception of the individual scenic spots. This study provides new methods and ideas for promoting the integrated development of culture, commerce and tourism in small and medium-sized cities so that the culture and tourism industry can be developed sustainably.
The Embodiment and Innovation of Digital Twin Platform in Modern Interior Environment Design
Authors: Chen Xiaoyao , Li Jizhou 
Published: December 2023

Abstract
In this paper, the digital twin platform for the indoor environment is constructed by combining digital twin technology and modern indoor environment elements to innovate the modern indoor environment design method. The digital twin platform is designed for modern indoor environments in two aspects: data acquisition and 3D model visualization for indoor environments. The indoor environment data are collected, cleaned and quasi-exchanged using sensors, the collected multi-source heterogeneous data of the indoor environment are fused by the time alignment method, and the 3D model of the indoor environment is driven by the design of the 3D model’s operations of translation, rotation and scaling. On this basis, the performance of the indoor environment digital twin platform is analyzed, and the data acquisition method and driving effects of the 3D model are explored. The results show that the data transmission measurement delay is within 20ms, the display delay is within 70ms, the transmission frames per second are basically stabilized at about 200FPS, 100FPS, 60FPS, the accuracy reaches 0.9 in the case of multiple data acquisition, and the fusion speed is about 3.4m/s, and the success rate of the driving operation of the overall three-dimensional model of the indoor environment is all greater than 0.96.
Research on transmission line dance monitoring and early warning system by fusing multi inertial sensors
Authors: An Shuhuai , Wei Zhen , Tang Lei , Ren Jie 
Published: December 2023

Abstract
This paper first analyzes the mechanism of transmission line dancing and constructs the mathematical model of transmission line dancing and the parameters of transmission line dancing. Then, a transmission line dancing monitoring and warning system is designed by integrating multiple inertial sensors, and the tower monitoring main splitter and wireless inertial monitoring and warning unit are designed, respectively. Then, the transmission line dancing trajectory was denoised using the wavelet threshold method, and the two-way inequality was determined by the attitude decomposition algorithm so as to design the transmission line dancing trajectory parameter identification algorithm. Finally, the designed system is tested experimentally, and the monitoring performance of the dance monitoring trajectory system is analyzed using collected data. The results show that the angular error of the sensor’s pitch and roll attitudes is within 0.5°, the angular error of the heading angle is within 1°, and the acceleration of the smoothed signal is in the range of -0.2/g~0.2/g. The relative error of amplitude recognition is up to 2.6 cm, and the frequency recognition basically agrees with the actual movement frequency, which is 0.21 Hz, and the error of the recognized frequency is within 0.03 Hz. Hz.
Experimental Investigation on the Bending Behavior of Weft Interlaced Multilayered Woven Fabrics for Composite Applications
Authors: Schegner Philipp , Vorhof Michael , Weise Daniel , Sennewald Cornelia , Pilgrim Jasmin , Hoffmann Gerald , Cherif Chokri 
Published: December 2023

Abstract
Direct preforming processes have potential for fiber-reinforced semi-finished products, creating 3D structures with strong delamination resistance using double-flat-steel-healds. However, the shedding method limits pattern variety, necessitating alternative options for interlacing diversity. One approach is using weft yarn instead of warp yarn for interlacing. This study explores its impact on mechanical properties, focusing on bending behavior, fiber volume content, and micrograph analysis of infiltrated warp and weft interlaced structures. The result shows interesting differences in mechanical behavior regarding different weave types and test direction as well as communalities within the individual structures.
Informalization of the formal sector: Evidence from India's manufacturing industries
Authors: Kapoor Radhicka , Krishnapriya P. P. 
Published: December 2023

Abstract
The employment structure of India's formal manufacturing sector has undergone substantial changes since the early 2000s with a steep rise in the use of contract workers in place of directly hired workers. Much of the existing literature has attributed the widespread use of contract labour to India's rigid employment protection legislation. The resulting informalisation of the workforce in the organised sector raises concerns about the sustainability of employment growth. Using a 14-year plant-level panel data from the Annual Survey of Industries, we find that in addition to labour market rigidities and the existence of a wage differential between contract and directly hired workers, plants in the organised manufacturing sector have another important incentive to hire contract workers. Plants appear to be using contract workers to their strategic advantage against the directly hired workers to keep their bargaining power and wage demand in check. Importantly, the strength of this bargaining channel varies across plants depending on their capital intensity of production, size and existing contract worker intensity.
Language Attitudes and Policy Preferences: Insights From International Scholarship Applicants to Hungarian Universities
Authors: Mambetaliev Askar 
Published: December 2023

Abstract
This study examined the attitudes of individuals seeking scholarships to study abroad, exploring whether their views on languages and language policy models vary based on gender, study programs, and countries. An online survey was administered to approximately 130 Hungarian government scholarship applicants from diverse nations. Statistical methods were employed to analyze responses, revealing variations and correlations between demographic and attitudinal variables. Participants expressed preferences for multilingual and monolingual language policies, aligning with their attitudes. The findings indicate that most participants pursued language learning with instrumental motivation, aiming to achieve educational and career objectives. Most participants expressed a desire for a multilingual language policy model in their home countries. While many embraced the proposal to adopt English as the medium of instruction, others maintained a critical perspective, acknowledging both the positive and negative impacts of English and multilingualism. Additionally, participants underscored the significance of preserving native languages in their respective countries.
The Nomenclature of Traditional Ornaments in Latvian and Lithuanian
Authors: Anča Sindija 
Published: December 2023

Abstract
The traditional ornaments, characteristic for the Latvian and Lithuanian ethnographic regions, are an essential part of traditional Baltic culture. Since the 19th century researchers have studied their technical aspects and semiotics (Brastiņš, 1923; Dzērvīts, 1925; Celms 2007) but little attention has been paid to empirical terminology. The name is an integral part of the sign, it often carries semantic information helping to reveal its usage and significance. In Latvia, the names of traditional signs have been influenced by the work of Brastiņš and dievturi (“Keepers of Dievs”) who attributed the names of Baltic mythological deities to ornaments linking them to the manifestations of the deity mentioned in the denominations. While these denominations are very popular in Latvia, in Lithuania very similar ornaments are called and interpreted differently. This research focuses on collecting and analysing Baltic ornament nomenclature published in Latvia and Lithuania in the first half of the 20th century. It compares the ornament naming traditions in both countries and highlights the main parallels and differences. It also reviews previous research of ornament in Latvia and Lithuania where significant differences can be seen – while semiotic research dominates in Latvia, in Lithuania more attention has been paid to the nomenclature, although in both countries the nomenclature has often been viewed separately from the visual form, making the research of ornament evolution and typology difficult. It has been found that the spectrum of ornament nomenclature at the beginning of the 20th century in Latvia was more diverse than it is now; that it is common for Latvians and Lithuanians to view ornament as a pattern rather than separate graphic elements and that geometric, plant, animal, artefact and celestial body denominations dominate the nomenclature of both languages. Symbols appearing in Baltic culture are also present in ornament nomenclature.
A Statistical Approach to the Impact of Qualitative Variables on Water Consumption in Schools
Authors: Dos Santos Rejane de Almeida Santana , Pessoa Robson Wilson Silva , Pinheiro Sandra Maria Conceição , Sánchez Antonio Santos , Queiroz Luciano Matos , Oliveira-Esquerre Karla Patrícia Santos , Kiperstok Asher 
Published: December 2023

Objective: To investigate the relationship between qualitative structural, behavioral and operational variables (continuous, discrete and binary) and water consumption in school environments.

Theoretical framework: School managers lack adequate material resources and qualified information to effectively implement these practices, especially in developing countries.

Method: An exploratory and correlational analysis was carried out between structural, operational and behavioral variables and water consumption in 911 schools located in Bahia, Brazil. In addition, consumption was estimated using predictive models based on ARIMA.

Results and conclusion: The maximum consumption values ranged from 52.98 to 95.65 liters per student per day. A significant positive correlation was identified between the variables "Built-up area" and "IDEB Index" for 26 schools located in the suburbs of the city of Salvador, Bahia. ARIMA predictive models can be considered adequate as long as the variability of the data is not too great. Periodic on-site inspections, training of maintenance staff and dialog with school managers were effective in reducing water consumption

Research implications: The introduction of practices for the rational use of natural resources during school education is certainly an important initiative to ensure a less environmentally unsustainable society.

Originality/value: The study provided unprecedented information on the relationship between neglected variables such as "IDEB" and water consumption in schools. These results may help in the adoption of measures and practices that effectively promote citizen education aimed at preserving natural resources.