bluuebunny/crossref_metadata_2025_split huggingface dataset:
Implication of Bone Mineral Density and Body Composition Parameters for
Length of Hospital Stay in Patients with COVID-19
Authors: Guan Wenmin , Zhang Tingting , Sun Jing , Wei Xuan , Wei Wei , Yan Ying , Song Lijun , Qian Husheng , Wang Daning , Qiao Meiqin , Liu Guanghong , Ren Lu , Yang Zhenghan , Xu Yan , Wang Zhenchang 
Published: January 2024

Background::
Multisystem information, including musculoskeletal information, can be captured from chest CT scans of patients with COVID-19 without further
examination.

Aims::
This study aims to assess the relationship between chest CT-extracted baseline bone mineral density (BMD) and body composition parameters and
the length of hospital stay in these patients.

Methods::
A retrospective analysis was performed in a cohort of 88 patients with COVID-19. Correlation analysis and a generalized linear model (GLM)
were used to assess the associations between the length of hospital stay and covariates, including age, sex, body mass index (BMI), BMD and body
composition variables.

Results::
The mean length of hospital stay was 27.4±8.7 days. The length of hospital stay was significantly positively associated with age (r=0.202, p=0.046)
and the paraspinal muscle fat ratio (r=0.246, p=0.021). The GLM involving age, sex, BMD, paraspinal muscle fat ratio, subcutaneous adipose
tissue (SAT) area, visceral adipose tissue (VAT) area, and liver fat fraction (LFF) showed that the length of hospital stay was positively correlated
with VAT area (β coefficients, 95% CI: 9.304, 1.141-17.478, p=0.025).

Conclusion::
The musculoskeletal features extracted from chest CT correlated with the prognosis of COVID-19 patients. Factors including old age, a higher
paraspinal muscle fat ratio and a larger VAT area in patients with COVID-19 were associated with longer hospital stays.
Effects of Digitization of Self-Monitoring of Blood Glucose Records Using a Mobile App and the Cloud System on Outpatient Management of Diabetes: Single-Armed Prospective Study (Preprint)
Authors: Handa Tomoko , Onoue Takeshi , Kobayashi Tomoko , Maeda Ryutaro , Mizutani Keigo , Yamagami Ayana , Kinoshita Tamaki , Yasuda Yoshinori , Iwama Shintaro , Miyata Takashi , Sugiyama Mariko , Takagi Hiroshi , Hagiwara Daisuke , Suga Hidetaka , Banno Ryoichi , Azuma Yoshinori , Kasai Takatoshi , Yoshioka Shuko , Kuwatsuka Yachiyo , Arima Hiroshi 
Published: January 2024

BACKGROUND

In recent years, technologies promoting the digitization of self-monitoring of blood glucose (SMBG) records including app-cloud cooperation systems have emerged. Studies combining these technological interventions with support from remote health care professionals have reported improvements in glycemic control.

OBJECTIVE

To assess the use of an app-cloud cooperation system linked with SMBG devices in clinical settings, we evaluated its effects on outpatient management of diabetes without remote health care professional support.

METHODS

In this multicenter, open-label, and single-armed prospective study, 48 patients with diabetes (including type 1 and type 2) at 3 hospitals in Japan treated with insulin or glucagon-like peptide 1 receptor agonists and performing SMBG used the app-cloud cooperation system for 24 weeks. The SMBG data were automatically uploaded to the cloud via the app. The patients could check their data, and their attending physicians reviewed the data through the cloud prior to the patients’ regular visits. The primary outcome was changes in glycated hemoglobin (HbA<sub>1c</sub>) levels.

RESULTS

Although HbA<sub>1c</sub> levels did not significantly change in all patients, the frequency of daily SMBG following applying the system was significantly increased before induction at 12 (0.60 per day, 95% CI 0.19-1.00; <i>P</i>=.002) and 24 weeks (0.43 per day, 95% CI 0.02-0.84; <i>P</i>=.04). In the subset of 21 patients whose antidiabetic medication had not been adjusted during the intervention period, a decrease in HbA<sub>1c</sub> level was observed at 12 weeks (<i>P</i>=.02); however, this significant change disappeared at 24 weeks (<i>P</i>=.49). The Diabetes Treatment Satisfaction Questionnaire total score and “Q4: convenience” and “Q5: flexibility” scores significantly improved after using the system (all <i>P</i>&lt;.05), and 72% (33/46) patients and 76% (35/46) physicians reported that the app-cloud cooperation system helped them adjust insulin doses.

CONCLUSIONS

The digitization of SMBG records and sharing of the data by patients and attending physicians during face-to-face visits improved self-management in patients with diabetes.

CLINICALTRIAL

Japan Registry of Clinical Trials (jRCT) jRCTs042190057; https://jrct.niph.go.jp/en-latest-detail/jRCTs042190057
Replication of Audit and Financial Accounting Research: We Do More than We Think
Authors: Luo Yi , Salterio Steven E. , Adamson Constance 
Published: January 2024

SYNOPSIS
There is a widespread concern that a “replication crisis” exists in the social sciences. Accounting researchers echo this claim and add that little accounting replication research is published. We carry out a conservative study to identify articles published in six leading accounting journals from 1970 to 2016 that attempt to replicate prior financial accounting and auditing research. We find 248 articles that attempted to replicate, in whole or in part, 298 published papers’ results typically in the context of extending the original finds. Highlights of our findings include: (1) the number and percentage of replicating articles have increased over the period; (2) 60 percent of all replication attempts are completely successful, 29 percent report mixed success, leaving 11 percent that fail to replicate. These findings suggest that the accounting academe publishes more replication research than previously documented and that published results are relatively robust when replicated.
Data Availability: Data are available from the authors upon request.
Comparison of chlorine dioxide and chlorhexidine 2% antiseptic in reducing bacterial colony counts as an alternative to DUWLs cleaning: a quasi-experimental study
Authors: Elfiyatinnufus Rifqiyah , Mulyanti Sri , Utami Ulfah , Malinda Yuti , Laut Deru Marah 
Published: January 2024

ABSTRACTIntroduction: The inner surfaces of dental unit waterlines (DUWLs) possess an accumulation of any bacteria. Microorganisms can enter dental unit waterlines from water reservoirs. Antiseptics are substances that inhibit the growth of bacteria. Chlorine dioxide is effective in decontaminating microbes in the DUWLs and has a beneficial effect on reducing nosocomial infections. Chlorhexidine effectively prevents the growth of Streptococcus bacteria. The addition of antiseptic agents to the water source contributed to a significant reduction of the cultivable microbial counts in the aerosol. The purpose of this study was to analyze the difference between Chlorine Dioxide 0,1% and Chlorhexidine 2% antiseptics on the number of bacterial colonies in the Dental Unit Waterline. Methods: This study was a quasi-experimental study with a total sample size of 8 dental units that have water tanks in the oral surgery clinic. The sampling technique was total sampling, where the sample was divided into 2 groups, group I using Chlorine Dioxide and group II using 2% Chlorhexidine calculation of colony counts unit using the plate count method. Results: The difference in the number of colonies before being given Chlorine Dioxide was 13,153 CFU/mL and after being given Chlorine Dioxide antiseptic was 6,070 CFU/mL, while before being given 2% Chlorhexidine antiseptic was 12,917 CFU/mL and after being given 2% Chlorhexidine antiseptic was 2,823 CFU/mL. There is a significant difference in the number of bacterial colonies before and after being given Chlorine Dioxide and Chlorhexidine 2% antiseptic with ρ=0.001; Conclusion: Chlorhexidine 2% reduces bacterial colony forming unit in DUWLs much more than using Chlorine dioxide for the alternative of DUWLs Cleaning Agents.Keywords: DUWLs, chlorine dioxide, chlorhexidine 2%, bacterial colony counts
Antioxidant activity of roots, stems, and leaves Spatholobus littoralis Hassk.: an experimental study
Authors: Ariesanti Yessy , Wahyudina Salsa Putri , Poedjiastoeti Wiwiek , Angraini Yenni 
Published: January 2024

ABSTRACTIntroduction: Tooth extraction is an action that will leave scars where the procedure is conducted. Post-extraction wounds will heal after going through 4 complex healing phases. Reactive Oxygen Species (ROS) play a role in wound healing, where antioxidants become substances that can control ROS levels in the body. Spatholobus littoralis Hassk., which comes from Central Kalimantan, has benefits in the wound healing phase. The aim of study was to analyze the effectiveness of Spatholobus littoralis Hassk., extracts on antioxidant activity. Methods: The type of research was an in vitro laboratory experimental study. Extracts of roots, stems, and leaves of Spatholobus littoralis Hassk. DPPH 2, 2-Diphenyl-1-picrylhydrazylradical as negative control, and Vitamin C as positive control were tested for antioxidants by using DPPH solution. Tests using a spectrophotometer with a wavelength of 517 nm were conducted after each sample was incubated for 30 minutes. Then, It would be calculated to determine the percentage of inhibition and IC50 of each sample. Data analysis used in this research was One-way ANOVA. Results: One-way ANOVA test showed no significant differences in the root extract, DPPH, and vitamin C groups; besides, there were significant differences in the stem and leaf extract groups. In the post hoc Tukey test, a concentration of 2500 ppm in stem extract was the most effective concentration, and a concentration of 2000 ppm in leaf extract was the most effective, with IC50 values from lowest to highest: stem extract (9.46), vitamin C (11.52), root extract (23.86), leaf extract (47.71), and DPPH (1660710) Conclusion: Extract of Spatholobus littoralis Hassk. has antioxidant activity, with the highest antioxidant activity in Spatholobus littoralis Hassk. stem extract, the most effective concentration is at 2500 ppm.Keywords: DPPH, reactive oxygen species, spatholobus littoralis Hassk.
Research on the Integration Path and Practice of AI Intelligent Technology and English Distance Education
Authors: Jiang Lijie 
Published: January 2024

Abstract
This paper introduces AI intelligence technology in English distance education and establishes a learning analytics model that includes information collection and acquisition, data storage, cleaning, integration, analysis, visualization, and action. Each component corresponds to a series of specific technologies and processes, and generates information such as learner portrait modeling profiling learning behaviors, using data mining to provide personalized learning solutions for learning. The assessment system is constructed from three perspectives: contextual, cognitive, and technological, which ensures accurate teaching for the personalized needs of English learners. It has been verified that the contextual interaction effect on students’ performance accounts for 78% of the total sample in the English distance education system after applying AI intelligent technology. Students in the experimental class showed positive interest in the distance education system 47.44±7.15, which was significantly higher than that of the control class 29.65±8.21. This integration model provides a new development direction for English distance education, and also provides strong support for personalized teaching and continuous optimization of the educational process.
Exploring the Perception of Nationality in Modern Japan from a Western Perspective in the Internet Era
Authors: Deng Lingzhi 
Published: January 2024

Abstract
Based on a Western perspective, this study utilized big data technology and web crawlers to obtain relevant ethnic and cultural information resources in Japan. Subsequently, these resources were sorted out, including the standardization and classification of content, to form a cultural resource base with national characteristics. At the same time, a BP neural network was used to evaluate the relevant factors. Finally, the accuracy and reliability of the model were verified by collecting relevant data and applying multiple linear regression methods. Among the positive probabilities, personal thoughts and social atmosphere were 0.8 and 0.66, respectively, which influenced the formation and orientation of the Japanese national cognitive structure to a certain extent. Traditional customs and religious beliefs are the factors that contribute the most to ethnicity cognition, with weights of 0.5474 and 0.4689, respectively. In the significance analysis, the p-values of dietary culture, dress culture and geographic environment are greater than 0.05, which indicates that these factors do not have a significant positive influence on ethnicity cognition.
Analysis of Spatial Differentiation of Resources and Their Influencing Factors in Long March National Cultural Park in the Context of Red Cultural Heritage
Authors: Gao Yun 
Published: January 2024

Abstract
In this paper, in the context of red cultural heritage, GIS technology is firstly utilized to comprehensively classify the resources of the Long March National Cultural Park, including natural, humanistic and recreational resources in various aspects. Through spatial distribution assessment, the distribution characteristics of each type of resource in the park are revealed. Subsequently, the degree of influence of spatial differentiation of resources was calculated by selecting influencing factors with multi-dimensional considerations. Finally, multiple regression analysis was utilized to establish a quantitative model that assesses the degree of influence of each factor on the spatial differentiation of resources. Among the spatial differentiation influencing factors, market demand and natural factors had the highest weights, 0.5584 and 0.3588, respectively. In addition, it was proved that air quality and comfort had a high significance level of P<0.05, which highlighted the importance of the climate environment. Meanwhile, the positive correlation between the number of scenic spots above the 3A level and trade volume and spatial structure, GDP as well and tourism income highlights the positive influence of red cultural heritage on the spatial differentiation of tourism resources.
Coupled coordinated time-series evolution of cultural and educational attributes in tourist attractions based on transfer matrix modeling
Authors: Ma Zhichen 
Published: January 2024

Abstract
In this paper, the transfer matrix model was first applied, and the eigenvalues of the matrix were calculated to clarify the cultural nature of tourist attractions. The concatenated form is introduced into the transfer matrix, successfully calculating the matrix’s matching function. The coupled coordinated time-series evolution was then used to derive the comprehensive evaluation index of tourist attractions and cultural and educational properties, and the weights of the indexes’ correlation and difference were analyzed to derive the index entropy value. Finally, the original data are processed by the dimensionless standard, the degree of coupling coordination is evaluated with the help of the coupling concept, and the relative level of coupling is dealt with after the matrix transfer. The analysis found that the highest coupling degree of cultural and educational attributes of tourist attractions in 10 years is 0.7. Therefore, the integration and development of cultural and educational attributes of tourist attractions is the inherent requirement and inevitable result of cultural construction and tourism development and must adhere to the principle of coordinated development of promoting tourism with culture and manifesting culture with tourism.
Exploration of Innovative Practical Path of Party Building Work in Colleges and Universities Based on Cognitive Mapping Construction
Authors: Weng Lixia 
Published: January 2024

Abstract
This paper combines knowledge meta-extraction and knowledge fusion to construct a cognitive mapping model of party building work in colleges and universities, and the system contains four subsystems: data resource management, mapping ontology modeling, mapping construction, and mapping application. The content of the cognitive mapping is further optimized through the continuous collection, supplementation and improvement of subject knowledge data and the deduction, inference, induction and integration of party-building work using the cognitive mapping data model. After cognitive arbitrariness, the P-values of party-building organizational strength, intelligent party-building, branch activities, and organizational security are all less than 0.5, with significant positive effects. In the work dimension, the scores can reach 97 and 95. The number of participants in party-building organizational activities exceeded 500 after the innovation and even reached a maximum of 900. The results of the study can provide specific practical guidance for party-building work in colleges and universities, which can help them achieve better results in party-building work.
Theories and Methods of Online Ideological and Political Education for College Students in the Context of Deep Learning
Authors: Yang Hongling 
Published: January 2024

Abstract
This paper designs a teaching mode for online ideological and political education under deep learning, designing teaching content in a structured, contextualized and activity-based way to enhance teaching effectiveness and learning experience. By mining the learning needs embedded in users’ learning behaviors, customized learning resources are provided for each student to meet the personalized learning needs of different students. It also uses knowledge-forgetting matrix decomposition technology to identify and recommend key knowledge points in teaching content, helping students master important knowledge more effectively. The teaching mode proposed in this paper performs well in resource recommendation, with an average server response time of 15.147ms, while the students’ preference time is above 0.940s, which effectively improves the educational and teaching effect of the theory and method of online ideological and political education for college students.
Exploration of the optimization path of interior art design based on computer BIM technology
Authors: Ma Rong 
Published: January 2024

Abstract
When science and technology have been developed faster, many interior art design concepts and computer technology have been updated with the times. In this paper, the geometric data and semantic data in interior design are transformed through BIM modeling, the spatial structure elements are placed in the world coordinate system, and the relative coordinates are calculated with the spatial structure elements of the interior art design building entity as the origin. With the help of BIM technology, the interior art design layout is carried out. Based on the layout constraint function and spatial syntax quantization function, which constitute the layout objective optimization function, the optimization solution is calculated. Finally, Depthmap software is used to analyze the interior design layout for VGA and intelligent body simulation. The results show that after 100 iterations, the mean value of the coefficient of the degree of BIM application is 0.9373, the coefficient of the application environment is 0.951, and the degree of the application of the BIM technology shows a growing trend, indicating that the BIM technology is an inevitable direction for the reform of the interior art design technology.
Stress analysis of assembled concrete structures with application of finite element modeling
Authors: Cao Limei , Song Xiao 
Published: January 2024

Abstract
In the paper, the finite element model of the assembled concrete structure is constructed based on the finite element method combined with ABAQUS software, including the specific definition of the model material, the boundary condition and contact setting, the analysis step and loading setting, and the validity of the constructed finite element model is verified. In order to deeply explore the stress changes of the assembled concrete structure, four aspects were analyzed, namely, concrete strength grade, load-mid-span displacement curve, stress of tensile and compressive reinforcement, and stress changes of frame combination beams respectively. The results showed that the larger the concrete strength grade, the relative stiffness ratio at the peak point gradually decreased from 0.44 to 0.27, and the specimen of concrete structure with higher steel content reached the maximum load at the mid-span displacement of 12.5 mm. The reinforcement at the end of the steel frame reaches the yield stress only when the lateral displacement is 25.8 mm, while the RC frame reaches the yield stress when the lateral displacement is 16.1 mm. When the load of the assembled concrete structural frame combination beams does not exceed 0.5 times the ultimate load, the stress change is elastic, which can ensure the stability of the assembled concrete structural building. Using the finite element model to model the assembled concrete structure numerically analyzes its stress change, which can better grasp the development of its structural stress during the actual casting process so as to ensure the safety of the building structure.
Exploratory Factor Analysis: A Pentagonal Evaluation Model Based on Football Player Stats
Authors: Quan Tao , Li Xianguo , Chen Shuzhen 
Published: January 2024

Abstract

Introduction
Starting from the information feedback of cybernetics theory, mathematical statistics methods have powerful application and interpretation functions in sports events to solve practical problems of football player evaluation.

Data Source
The data comes from Sofascore.com. Using the players’ position on the field as a classification, their technical statistics were checked one by one, and the original database of the 2021 Chinese Super League was established. The team consisted of 289 players, with 61 forwards, 133 midfielders, and 95 defenders.

Method
Factor analysis was conducted on the original data using IBM SPSS Statistics (Version 26.0). The evaluation model was obtained after determining the comprehensive score of players using loading and variance contribution rates according to the relevant methods and steps.

Conclusions
The total cumulative variance contribution rate of these factors is 74.155%. The five evaluation factors of players are Direct Attack, Basic Pass, Cooperative Defense, Aggressive Pass, and Risky Defense. In the pentagon evaluation model, F1 accounted for 26.88%, F2 for 20.42%, F3 for 20.40%, F4 for 18.54%, and F5 for 13.74%. Finally, the player’s score and club’s ranking are calculated and tested, and the results indicate that the effect is good.