bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining Individuals’ Use of the Internet for Health Care Activities Over Time: Results from the US National Health Interview Survey
Authors: Junkins Zachary , Zahan Nusrath , Neyens David 
Published: August 2024

Background
Telehealth is an increasingly important component of health care services. Telehealth services may present an opportunity to increase the equity, accessibility, and effectiveness of health care. As such, it is critical that telehealth design focuses on reducing the barriers to access and usability that may impair some telehealth users.

Objective
Our goal was to identify different demographic characteristics, behaviors, or opinions that may predict groups who are likely to face a barrier to using telehealth services.

Methods
We used data from the National Health Interview Survey and multiple logit regression models focused on different aspects of telehealth to examine three different avenues of telehealth service: looking up health information using the internet, scheduling an appointment using the internet, and communicating with a care provider through email using the internet in order to consider the ways in which different telehealth services may face different barriers.

Results
Our results suggest that middle-aged (36-55 years old) and older adult (56-85 years old) respondents were significantly less likely to look up health information using the internet or schedule an appointment using the internet versus younger individuals (18-35 years old). Specifically, our analysis found that middle-aged adults were found to have a higher odds ratio than older adults (0.83 vs 0.65) for looking up health information using the internet. We also found that there were differences in age groups for using technology to perform health care–related tasks. In terms of searching for health information using the internet and scheduling appointments using the internet, we found differences between men and women, with women being significantly more likely than men to look up health information using the internet, schedule an appointment using the internet, and communicate with a care provider through email using the internet. Across all the investigated variables, we found that the rates of using the internet for looking up health information, scheduling an appointment, and communicating with a care provider over email increased substantially across the study period. The impact of costs was inconsistent across the different models in our analysis. We also found that there is a strong correlation between respondents’ collaboration in their personal health and the likelihood that they would use telehealth services to meet these needs.

Conclusions
This analysis provides an exploratory look at the data to highlight barriers that may impact a user’s ability to access telehealth services in the context of other potential predictor variables to account for the real-world variability that these may present. Future work should examine the complex relationships of those variables and understand how these interactions are correlated with the respondents’ use of telehealth.
The Effect of Tillage’s Types to the Growth And Production in the Various Upland Rice (Oryza sativa L.) Varieties on Sandy Lands
Authors: Hakiki Kharisma Nur , Sumarsono Sumarsono , Sutardi Sutardi 
Published: August 2024

Rice is one of the important plants being a staple food for almost the whole Indonesians. Upland (Gogo) rice can be increased by extensification using coastal sandy land. The upland cultivation techniques on the sandy land need an appropriate method to obtain high growth and production. This study aims to examine the effect of tillage on sandy land toward the three upland rice (Oryza sativa L.) varieties to rice growth and production. This study was conducted using a 3 x 3 split-plot experiment with a Randomized Block Design (RBD) consisting of 4 groups. The tillage methods as the main plot are J1: without tillage, J2: partially tillage, J3: fully tillage. The rice varieties as the subplots are P1: inpago, P2: inpago 10, P3: inpago 12. The observation parameters are plant height, number of tillers, the age of panicles appear, number of panicles, plant wet weight, plant dry weight, net assimilation rate, number of grains per panicle, grains production, the weight of 1000 seeds, harvest index, and the percentage of the filled grains. The result of the study shows that the tillage method has a real and significant effect (P<0, 05) on Upland rice growth and production. The inpago 8 variety without tillage was able to produce the highest dry weight and 1000 seeds. The highest grain production was in the partially tillage method. The inpago 10 variety in the partial tillage method was able to produce the highest number of grains per panicle, grains production, 1000 seeds weight and harvest index. However, in the partial tillage method, inpago 12 variety was able to produce the highest grains per panicle, grains production, 1000 seeds weight and harvest index while without tillage method produced the highest dry weight and the highest filled grains percentage.
Research on Strategies for Improving Teachers’ Information Technology Application Ability in Colleges and Universities under Digital Environment
Authors: Li Yan 
Published: August 2024

Abstract
Teachers’ information technology application ability plays a crucial role in the long-term sustainable and benign development of colleges and universities. Aiming at the problems of fuzzy C-mean (FCM) clustering algorithm in data mining technology, this paper proposes the FCM algorithm optimized by combining the Canopy algorithm and the density peak algorithm and applies it to detect the level of information technology application ability of teachers in colleges and universities. Taking the University of Q as the research object, the fuzzy set qualitative comparative analysis (fs QCA) was used to explore the multiple driving mechanisms behind teachers’ IT application ability and then to explore the strategies to improve teachers’ IT application ability. The results showed that teachers’ IT application competence as a whole basically showed a decreasing trend with the increase of teaching age, among which teachers with 4-6 years of teaching age had the strongest “planning and preparation competence (3.177)”. In addition, in the qualitative comparative analysis, the consistency of the selected condition variables ranged from 0.618 to 0.886, which was lower than the critical value of 0.9, suggesting that the enhancement of teachers’ IT application ability should be comprehensively considered in terms of the concurrent synergistic effect of multiple conditions. The study aims to promote the steady enhancement of teachers’ information technology application ability, which is helpful in achieving the goal of education informatization enhancement.
Impact and Optimization Analysis of High Penetration Distributed Power Supplies on Distribution Grid Operation Characteristics
Authors: Chong Wang , Hui Zhang , Hongbin Liu , Jian Li , Yougang Ren 
Published: August 2024

Abstract
Distributed power access to the distribution network acceleration, if you can not deal with the relationship between grid operation, grid current balance, energy storage, and other constraints, will significantly reduce the efficiency of grid operation. In this paper, we first model photovoltaic power generation and wind power generation among distributed power sources and summarize the decision-making objectives and constraints according to the impact of distributed power sources on the distribution network voltage, network loss, and other aspects. The traditional particle swarm algorithm is improved and used to construct an optimization model for a distributed power access scheme with active management. Then, the model is compared with the traditional particle swarm algorithm and the NSGA algorithm to verify the effectiveness of the improvement. It is found that the improved PSO algorithms GD and SP in this paper are 0.0042 and 0.0192 in the ZDT1 function test, which is lower than 0.0139 and 0.0652 of NSGA and much lower than 0.0863 and 0.3992 of the basic PSO. In the arithmetic calculations of the model designed in this paper, the DG operation, network loss, power purchase, sewage, and cost are respectively 1,527,100 yuan, 159,800 yuan, 4,792,500 yuan, and 168,300 yuan, totaling 6,647,700,000 yuan, which is much lower in cost than the non-actively managed, non-installed distributed power model. This study provides new ideas and methods for the multi-objective optimization problem of high penetration rate distributed power supply access to distribution networks.
Integrated application and optimization strategy of BIM technology in prefabricated buildings
Authors: Zhu Zhenhao , Zhang Junqi , Hu Qinding , Fan Xiaojun , Ren Yejun 
Published: August 2024

Abstract
Prefabricated construction addresses the extensive construction timelines and environmental pollution associated with traditional building methods. However, challenges such as inconsistent design standards and insufficient information exchange persist across various stages. This paper harnesses Building Information Modeling (BIM) technology to mitigate these practical challenges in prefabricated buildings. It adapts the Industry Foundation Classes (IFC) standard framework to BIM technology and proposes an integrated management model for prefabricated building information using BIM. The engineering construction process is segmented into phases, and a combination of structured and unstructured data is employed to construct a hierarchical BIM model that facilitates the scheduling of large-scale data. For optimizing information scheduling, the Dynamo software programmatically divides components of the prefabricated building, and Python is utilized to streamline the development of corresponding nodes. A case study involving a multi-story residential building in Shijiazhuang City, Hebei Province, demonstrates the benefits of this parametric design approach. Optimizations in the production and construction processes led to a reduction in total project duration by one day and an increase in direct economic benefits by 1,590,500 yuan, thereby underscoring significant financial advantages. This research contributes to the rapid implementation of functional requirements in prefabricated buildings, enhances work efficiency, and offers a novel approach to parametric modeling for this sector.
A study on the impact of user behavior in the perspective of multiple regression analysis for the green sharing economy
Authors: Huang Jionghua 
Published: August 2024

Abstract
With the continuous transformation and upgrading of the economy and society and the continuous improvement of people’s income levels, the importance of green consumption in the economy is gradually emerging. In this paper, the article takes the sharing tourism app as an experimental object. First of all, using a multiple regression model to put forward relevant assumptions for research, and with the characteristics of the sharing economy, the characteristics of the sharing tourism APP variables, on the basis of which the theoretical model framework is constructed. The four variables of performance expectation, effort expectation, social factors, and facilitating factors are measured simultaneously across different dimensions. The data obtained from the questionnaire distributed to users using the shared tourism app were modeled and tested using SPSS to ensure the reasonableness of the questionnaire and the validity of the scale data. Finally, the correlation analysis of the obtained data was carried out, and the multiple regression model was used for analysis and robustness test, which concluded that the effort expectation, the willingness to use, and the social influence would affect the behavior of users using the shared tourism APP. The regression coefficients for behavioral influence are 0.216, 0.212, and 0.185, respectively. The results of the study show that in the green sharing economy, users’ behavior will be affected by multiple factors, and there will be instability.
Research on Health Management Information Sharing Mechanism in Distributed Computing Environment
Authors: Li Na 
Published: August 2024

Abstract
Cloud computing provides strong technical support for the construction of regional healthcare information platforms such as medical insurance, public health, etc., and brings infinite hope for the development of healthcare informatization. This paper is based on cloud computing technology support, using cloud computing data center resource utilization balanced virtual machine scheduling model, building health management information sharing mechanism, combined with distributed P2P architecture design, to realize the health management information sharing platform under distributed computing environment. Divide the data center of the health information sharing platform by health information theme, analyze the information sharing mechanism between blood stations and hospitals, and use charts to analyze the management and deployment of blood in blood stations. Build a fuzzy environment to analyze the execution time, response time, and spending of the virtual machine scheduling algorithm based on SA-PSO. Analyze the emergency response time and emergency effect of the health management information sharing platform compared to the traditional first aid process, as well as investigate and count the implementation of blood-based emergency management structures. The test group utilizing the distributed health management information sharing mechanism has less response time (s), emergency group boarding time (s), emergency response time (s), and in-hospital handover time (s) in the receiving time (s), emergency group boarding time (s), and in-hospital handover time (s) than the control group applying the 120 emergency response method, and the comparison is statistically significant (P < 0.05), which indicates that the health management information sharing mechanism is able to target the reduction of the response time, and embodies the construction of the health management importance significance.
Innovative Exploration of the Integration Path of Artificial Intelligence Ethics and College Students’ Ideological and Political Education
Authors: Zhu Jing 
Published: August 2024

Abstract
The great application potential of artificial intelligence (AI) and the accompanying ethical issues have triggered widespread concern in the field of education. This paper utilizes the LDA model to analyze the collected relevant AI ethical contents in terms of text themes and explore the public’s awareness of different emotional tendencies towards AI ethics in the field of education. Based on this basis, the integration path between AI ethics and the ideological and political education of college students is proposed. Two parallel classes in a university have been chosen to conduct experiments to examine the integration effects of AI ethics and ideological and political education through horizontal and vertical comparative analysis. The LDA model finally generates three positive sentiments and six negative sentiments in AI ethics cognitive themes, with the most discussion of student development in the positive themes at 42.65% and the most discussion of governance level in the negative themes at 36.94%. The students in the ideological and political education class incorporating AI ethics overall improved by 110.23% and 19.11% on AI ethics compared to the control class and the pre-experiment. The teaching experiment demonstrates that integrating AI ethics with ideological and political education is more effective.
Objective quantitative evaluation of the role of digital economy on rural economic development in the context of rural revitalization
Authors: Liang Zhihua 
Published: August 2024

Abstract
In the context of rural revitalization, the research in this paper firstly excavates the mechanism of the digital economy’s role in rural economic development and explores the development trend of the data economy. The evaluation system of the rural digital economic development level is constructed based on the needs of rural economic development, combined with the entropy value objective assignment method. Based on this basis, the impact of the digital economy and rural revitalization is analyzed using gray correlation degree and spatial economic distance matrix. The three indicators of information and communication, digital economy industry, and innovation ability have a greater degree of influence on the development status of the rural digital economy, with weights accounting for 21.05%, 38.12%, and 22.25%, respectively. The gray correlation between the level of digital industrialization, the level of industrial digitization, and the level of economic development varies between 0.687 and 0.852 and 0.491 and 0.643, respectively, and the correlation between them and the level of high-quality economic development is obvious. From a spatial point of view, the Moran indexes of the development level of rural revitalization and the development level of the digital economy are both significantly positive, and p is less than 0.05, and there is an obvious spatial clustering phenomenon in both the digital economy and rural revitalization. This study provides a new path for exploring the balanced development of China’s digital economy and promoting rural economic revitalization and provides theoretical references and a realistic basis for narrowing the urban-rural economic gap.
Exploring the Application of Podcasting Theories and Skills in the Internet Era
Authors: Qiu Maoling 
Published: August 2024

Abstract
This paper, based on the multimodal technology of the Internet era, proposes the application of a combined visual and auditory associative mechanism to news and broadcast hosting segments. We analyze the text content of two program periods, focusing on the broadcasting section, by conducting content analysis on each operationalized index of internal visual and auditory perception. We explore and interpret the sensuality of TV news broadcasting, using sensualism and receptive aesthetics as the theoretical foundation. We chose “Hsing Shu Dao” as our research subject and utilized the speech spectrogram to gather the host’s innovative speech traits influenced by the associative mechanism. This allowed us to investigate the impact of the associative mechanism’s specialization in the broadcasting and hosting domain. The results reveal widespread use of sensualism in two programs, “The O’Reilly Factor” and “News Investigation,” with an average application of the index exceeding six times per episode. In the process of creating language, Sample 3 of the recordings under the “script + soundtrack + picture” association has a big impact on changing the shape of the host’s speech. The number of words increases by 3–5 for vowelization of contrastive consonants and by 5–11 for resonance subsidence.
Comprehensive Evaluation Method for Source-Load Matching Based on Scenario Probability
Authors: Hou Qingxing , Yang Lei , Hu Haipeng 
Published: August 2024

Abstract
With the continuous increase in the penetration rate of distributed photovoltaic (PV) and diversification of load types, temporal variability and uncertainty of distributed PV output and loads have exerted significant impacts on distribution grids. The planning and operation of future power systems dominated by renewable energy sources requires a quantitative assessment of source-load matching. This paper proposes a comprehensive assessment method for source-load matching that takes into account scenario probabilities. The first step is to establish a source-load matching index system that takes into account the temporal differences between sources and loads. Metrics such as supply-demand matching, volatility matching, and electricity quantity matching are included in this system. Subsequently, data-driven and K-means synchronous clustering is used to generate representative PV and load temporal scenario sets, along with the probabilities of each scenario, enabling the evaluation of various indicators. The combined weights of each indicator are determined by employing the Analytic Hierarchy Process (AHP) and Entropy Weight Method (EWM). Weighted summation is used to obtain the final comprehensive evaluation result. Finally, a case study using a residential distribution area is used to verify the effectiveness and feasibility of the proposed method.
Research on the Construction of Cybersecurity Governance Model and Multiple Regression Analysis of Data Security in Airline Division
Authors: Zhong Jiehua , Meng Siuka , Kan Ho Yin , Him Wong, Dennis Chi 
Published: August 2024

Abstract
The aviation industry is witnessing an increasing adoption of new technologies in the automation process, which improves efficiency and enhances the customer experience while invariably creating vulnerabilities and threatening data security. This paper takes Air Macau as an example and proposes an RQP algorithm to quantify the likelihood of risk occurrence in the cross-border flow of important aviation data in Air Macau and the degree of impact after the risk occurrence. According to the descriptive statistical analysis of the regression variables, the overall risk mean value of the data transmission node is 8456.154. The aviation industry significantly positively influences the risk of cross-border data flow compared to the company, with a regression coefficient of 0.487 and a P value less than 0.05. Combining Paillier and RSA algorithms, we construct the data analysis and authentication model for cybersecurity governance and implement encrypted cross-border transmission of aviation data. We design simulation experiments to assess the model’s performance and security. The encryption time and decryption time of this scheme, for a length of 256 bytes, are 0.201 ms and 0.135 ms, respectively, making it more efficient than other algorithms. This ensures the security of encrypted data transmission by the airline company and holds significant importance for the cross-border data flow in Air Macau.
Design and Application of Intelligent Teaching and Training System for College Basketball Based on 3D Motion Recognition Technology
Authors: Wang Jingran , Li Wenyi 
Published: August 2024

Abstract
Action recognition based on 3D technology is showing a trend of universal application in the field of kinesiology day by day. This paper utilizes 3D action recognition technology to develop an auxiliary teaching system suitable for college basketball teaching and training. The top-down method is used for human pose estimation to provide human skeleton characterization and shield obstacles such as background and illumination for action recognition technology. A new edge connection is added to the original graph convolution algorithm to form the human action recognition algorithm in this paper, and a spatial attention module is introduced to improve the accuracy of model action recognition. The system is equipped with two significant algorithms for human posture estimation and action recognition, and the final design is finished as an auxiliary system for college basketball teaching and training. The system can match the similarity between students’ movements and standard movements with a minimum of more than 80%, and the basketball scores of students are generally improved to more than 90 points after using the system.