bluuebunny/crossref_metadata_2025_split huggingface dataset:
Patient Phenotyping for Atopic Dermatitis With Transformers and Machine Learning: Algorithm Development and Validation Study
Authors: Wang Andrew , Fulton Rachel , Hwang Sy , Margolis David J , Mowery Danielle 
Published: December 2023

Background
Atopic dermatitis (AD) is a chronic skin condition that millions of people around the world live with each day. Performing research into identifying the causes and treatment for this disease has great potential to provide benefits for these individuals. However, AD clinical trial recruitment is not a trivial task due to the variance in diagnostic precision and phenotypic definitions leveraged by different clinicians, as well as the time spent finding, recruiting, and enrolling patients by clinicians to become study participants. Thus, there is a need for automatic and effective patient phenotyping for cohort recruitment.

Objective
This study aims to present an approach for identifying patients whose electronic health records suggest that they may have AD.

Methods
We created a vectorized representation of each patient and trained various supervised machine learning methods to classify when a patient has AD. Each patient is represented by a vector of either probabilities or binary values, where each value indicates whether they meet a different criteria for AD diagnosis.

Results
The most accurate AD classifier performed with a class-balanced accuracy of 0.8036, a precision of 0.8400, and a recall of 0.7500 when using XGBoost (Extreme Gradient Boosting).

Conclusions
Creating an automated approach for identifying patient cohorts has the potential to accelerate, standardize, and automate the process of patient recruitment for AD studies; therefore, reducing clinician burden and informing the discovery of better treatment options for AD.
Experimental Studies on the Operation of Agricultural Crops Mowing Unit with Simultaneous Chopping and Incorporation of Stubble Into the Soil
Authors: Nadykto Volodymyr , Kiurchev Sergey , Chorna Tatiana , Hutsol Taras , Mudryk Krzysztof , Głowacki Szymon , Rud Anatoliy , Shevtsova Alona , Ryabov Igor , Szwedziak Katarzyna 
Published: December 2023

Abstract
For harvesting crops, one-phase and two-phase methods are most often used. When implementing the second one, mounted and trailed units are used. The latter is becoming less and less used due to the problems with movement stability in the horizontal plane because of the asymmetric layout. A stubble background, which is susceptible to solar and wind influences, is formed as a consequence of application of the mounted harvesting unit, As a result, the field’s soil in the inter-swath space intensively loses moisture. A harvesting unit based on a tractor with rear steerable wheels has been designed to eliminate this shortcoming. A header is mounted on its front hitch linkage system, and a disc harrow is mounted on the rear one. During the working movement, such a harvesting unit mows the crop into swaths, chops the stubble in the inter-swath space, and simultaneously incorporates it into the soil. This article presents the operation results of such a unit for harvesting winter wheat, oats, and sudan grass. Research has established that oscillations in the deviations of the mowed crops’ swaths from a straight line are of low frequency. The variances spectra of this process, as follows from the Analysis of normalized spectral densities, are concentrated in the frequency range of 0-0.5 m−1. The mean value velocities of the harvesting unit are 2.13-2.61 m·s−1, which is 0.17-0.21 Hz. The variances of oscillations in the header operating width, the cut crop’s swath width, and the disc harrow’s width are concentrated in approximately the same low-frequency range, the maximum value of which is small and does not exceed 0.9 m−1 or 0.37 Hz. The oscillation processes of the mowed crops’ stubble height have a higher frequency. The cutoff frequency of their normalized spectral densities is at the level of 3.0 m−1. In terms of time, considering the harvesting unit movement velocity of 2.13-2.61 m·s−1, this is 1.02-1.25 Hz. At the same time, oscillations in the stubble height of mowed crops are characterized by small variances, the maximum value of which does not exceed 11 cm2.
Heavy Metal Content in Substrates in Agricultural Biogas Plants
Authors: Derehajło Stanislaw , Tymińska Magdalena , Skibko Zbigniew , Borusiewicz Andrzej , Romaniuk Waclaw , Kuboń Maciej , Olech Elżbieta , Koszel Milan 
Published: December 2023

Abstract
The content of heavy metals in soil should be continuously monitored, especially in organic crops. Exceeding the permissible concentrations of these elements may lead not only to inhibition of plant growth but also to ingestion into the organisms of animals that feed on these plants.
Heavy metals usually enter the soil via precipitation or manure. There is a noticeable increase in interest in digestate for fields fertilization. Therefore, the authors decided to test the heavy metal content in substrates (slurry and solid input) and digestate. The 15x3 samples tested showed that only trace amounts of heavy metals were present. The study shows that the content of these elements in the digestate is not the sum of the elements supplied to the digester with the substrates. In most of the samples tested, lead concentrations did not exceed 5 mg‧kg−1. The lowest amounts of cadmium (an average of 0.28 mg‧kg−1) were observed in the slurry, and the highest (an average of 0.34 mg‧kg−1) in the solid substrate fed to the digester. Slurry had the lowest mercury and cadmium contents (average 0.012 mg‧kg−1and 5.8 mg‧kg−1). The highest concentration of chromium was registered in the digestate (average 3 mg‧kg−1) and this was on average 0.3 mg‧kg−1 higher than the feedstock and 0.5 mg‧kg−1 than the slurry
Using Time Series Analysis to Study the Changing Trend of Business English Teaching Effectiveness in Colleges and Universities
Authors: Ye Chunling 
Published: December 2023

Abstract
This paper analyzes the characteristics and changes of influence on college business English teaching in the context of the new era, constructs a multimodal college business English teaching model based on vision and hearing, and carries out a multimodal fusion of graphics, text and audio through deep learning. To solve this problem, the time series analysis problem is easily affected by noise. On the basis of the basic time series algorithm, the GBDT-KF algorithm based on the Kalman filter is designed. It also predicts the effectiveness of college business English teaching. The results show that listening ability is improved by 0.3, speaking ability by 0.25, writing ability by 0.21, and reading ability by 0.18; the effect of college business English teaching has also been improved in different degrees.
The Development Trend of Innovative Teaching of Dance in Colleges and Universities Based on Clustering Algorithm in the Context of Big Data
Authors: Zhang Cong 
Published: December 2023

Abstract
This paper establishes a model for teaching dance innovation in colleges and universities based on big data. Using a clustering algorithm to obtain the characteristics of dance teaching using affiliation assignment calculation to maximize the fuzzy indicators, the dance innovation teaching indicators are divided to improve the assessment accuracy. The optimization of dance teaching assessment indicators is normalized to complete the data processing and clustering in the teaching system and combined with the user preference to divide the student group based on similar characteristics. The results show that 45.00% of the student’s performance ability of physical balance is excellent, and the dance teaching classroom question score is 93. Big data technology can effectively integrate and categorize the existing dance teaching resources in colleges and universities, thus improving the quality of dance teaching.
Economic Policy Uncertainty, Accounting Robustness and Commercial Credit Supply - An Analysis Based on Accounts Receivable
Authors: Ren Xiufeng 
Published: December 2023

Abstract
This paper constructs a commercial credit supply decision-making model based on the analysis of corporate accounts receivable. The regression analysis algorithm is used to categorize and calculate the variable parameters affecting credit supply, and the expectations of suppliers and vendors are used as the predicted value for decision-making. The BP neural network is used to assess the risk of business accounts receivable from the horizontal as well as vertical perspectives, respectively, and to enhance the security quality of credit supply decision-making. The results show that strengthening the management of accounts receivable enhances the robustness of corporate accounting, keeps the rate of change in surplus around 0.4% per year, and the accounts receivable turnover rate reaches a maximum of 15.9 times/year so that the business credit supply decision will be more prudent.
Digital leisure sports help to revitalise the culture of beautiful villages
Authors: Wu Jiafa , Dusaran Mariphe M. 
Published: December 2023

Abstract
In this paper, a platform for digital leisure sports services is built using digital information technology in the context of the new economy. Plain Bayesian classification is used to classify sports information based on its features, and the target value is assigned based on the feature vector. The RBF algorithm is introduced to transform the information into measurable data, and the target weights are updated using the energy function. The results indicate that the villagers exercised for 5 hours each day on the platform, and the BMI pass rate of villagers of different age groups exceeded 70%. The digital innovation of leisure sports has a greater effect on the psychology and physiology of villagers and is a strong fit for the prosperity and revitalization of rural culture.
Intercultural Communication Paths in Chinese International Education Based on Multiple Regression Models
Authors: Lu Jialin 
Published: December 2023

Abstract
In this paper, we first studied the demand for Chinese language communication, explored the mode of Chinese language communication, the process of Chinese language communication and the mode of interaction, and constructed a multivariate and three-dimensional communication path of Chinese language and culture. Then, a multiple linear regression model was established, the generalization error of the model was calculated, and the least squares method was used to find the optimal solution of the model parameters. Finally, the effect of cross-cultural communication in Chinese international education was evaluated, and the level of Chinese cultural awareness, Chinese cultural identity and Chinese cultural communication of the research participants were analyzed. The results show that the overall cultural awareness dimension of the survey respondents scored a total of 186 points, with an average score of 138.65 points, which is a medium level, indicating that Chinese intercultural communication and dissemination are more effective. This study promotes the development of international education and the in-depth development of international communication and cooperation.
Transforming Numerical Efficacy of Civics Curriculum Development in Colleges and Universities by Combining Matrix Modeling
Authors: Long Boyu 
Published: December 2023

Abstract
In this paper, firstly, on the basis of the digital construction of the Civics course, we propose to construct a Civics course teaching system to realize the transformation of digital type effectiveness of the Civics course and design the functional module and database module of Civics course teaching system according to the connection between students, teaching content and teachers. Secondly, on the basis of the matrix model, the subordination degree function of the Civics course is determined according to the subordination relationship of the Civics course features, and then the contribution degree of the variable factors of the Civics course is calculated by using the segmented subordination function, and the contribution degree of each factor is combined to construct the matrix model of the Civics course teaching system. Then, set the set of evaluation factors of the course Civics teaching system, calculate the evaluation factor scores of the Civics teaching system by using the multi-factor synthesis method, and evaluate and analyze the digital construction of Civics courses in colleges and universities. The results show that on the matrix model, the comprehensive score of Chengdu University’s curriculum Civics system construction is calculated to be 88, which also verifies that the teaching system of Civics courses runs well. On the sense of teacher efficacy, the significant probability value of P less than 0.05 for teaching age, title, and education indicates a significant relationship with the sense of teacher efficacy.
Analysis of Linguistic and Cultural Differences in Japanese Translation Based on Differential Equation Modeling in the Perspective of PMC Assessment
Authors: Chen Yicai , Li Xianrui 
Published: December 2023

Abstract
This paper focuses on the differences in grammar rules and syntactic structures between Japanese passive and probable tenses and labels the corresponding sentences in the corpus according to their grammatical features. A statistical method is employed to categorize the corpus by linking dependency trees and morphological information. Differential equation modeling is used to construct a classification model, and the important features and extraction processes for distinguishing sentence structure are defined. In conclusion, the impact of language and cultural differences on the machine translation of Japanese passive sentences is examined. The results show that the significant values of manual translation and machine translation are 0.158 and 0.203, respectively, which are greater than 0.05, indicating that they conform to the normal distribution and there are obvious differences between them. The mean score of the total score of manual translation is 4.62, and the mean score of the total score of machine translation is 2.85, indicating that there is a significant effect of language and cultural differences on machine translation. This paper provides useful guidance and insights for improving the quality of Japanese translation and promoting cross-cultural communication and understanding.
Application of Digital Health Concepts in Dance Culture Dissemination and Promotion Based on Predictive Modelling of Information Dissemination
Authors: Mei Xue 
Published: December 2023

Abstract
The purpose of this paper is to analyze the dissemination effect of digital health concepts in dance culture by constructing a prediction model for dance culture information dissemination. It focuses on analyzing the main paths and forms of Internet+dance culture dissemination and constructing the cultural dissemination process of Internet+dance health. The LSTM method is used to extract the states in information dissemination, and the dissemination characteristics of digital health in dance culture are deduced by analyzing the characteristics of the information dissemination sequence. The association between digital health concepts and dance culture dissemination was determined through the trajectory characteristics of information dissemination. The results show that the spreading range of the four types of models rises in an upward trend and is faster when the spreading time round is in the interval of (0,125). The spread range in models in the (150,300) interval is generally higher than the SI model and SEI model. The factor value of whether the video is top or not affects the amount of playback is 0.771***, and the factor value of whether it carries a topic or not is 0.051.
A Comparison of Chinese-English News Metaphors for Corpus Analysis in the Context of Big Data Technology
Authors: Li Daiju 
Published: December 2023

Abstract
In this paper, firstly, the Chinese-English news corpus is constructed using crawler technology, and a distributed retrieval system is designed to search the Chinese-English data in the corpus. Secondly, the potential semantic analysis algorithm is improved to extract semantic information from the Chinese-English corpus and realize the semantic search data source. Finally, by designing the experimental environment as well as the samples of the Chinese-English news corpus, the performance of the corpus as well as the distribution retrieval performance are analyzed, and the comparison of Chinese-English news metaphors is explored. The results show that the system’s word-level accuracy is 96.32% when the training corpus size reaches 100,000 word-level, the F-value is 96.08, and the latency of 1Mb/s is higher than the latency of 3Mb/s and the latency time of 5M/s, and the corresponding latency is always stabilized within 1.0. The proportion of conceptual metaphors in Chinese news is above 0.5, while in English news, the proportion is mostly around 0.3. Most of the Chinese news is conceptual metaphors, while most English news is interpersonal metaphors.
Dynamic Interactive Design of Graphic Design Elements Based on Image Feature Extraction Algorithm
Authors: Li Shanshan 
Published: December 2023

Abstract
This paper first analyzes the use and expression of line and surface, color, and text as graphic design composition elements. Secondly, it analyzes the relationship between interaction design and other disciplines and constructs a dynamic interactive design model for graphic design. Then, the features of color, texture, shape and spatial relationship of the image are extracted by the feature extraction algorithm, and the gesture recognition algorithm is used to determine the operation requested by the user and execute it. Finally, data analysis was conducted on 32 randomly selected students from the design school of University H who applied the dynamic interactive design model. The results show that the dynamic interactive design has the highest rating in terms of smooth operation, with an average score of 6.893, and the lowest rating is in terms of low learning cost, with an average score of 5.087. This shows that the dynamic interactive design model of graphic elements can improve the smoothness of operation, thus improving the dynamic interactive experience of students and providing direction for the development of the field of graphic design.
Application and Development of Traditional Elements in Rural Revitalization Design under New Media Perspective
Authors: Liu Yan 
Published: December 2023

Abstract
This paper firstly studies the “three-step” strategy of rural revitalization at this stage and proposes to help consumers recommend suitable rural cultural and creative products through the FMIST model based on the dilemma of the development of cultural and creative products in rural revitalization. Then, it explores the role of traditional culture in the cultural and creative products of rural revitalization, as well as in the planning and architectural layout. Finally, the development status of rural cultural and creative products and architectural planning layout, as well as the association between cultural and creative products and architectural planning layout and influencing factors, are analyzed by entropy value method and grey correlation degree, respectively. The correlation between cultural and creative products and rural revitalization is all higher than 0.55, and the correlation between rural revitalization and cultural and creative products on rural revitalization is high. They can be injected with traditional elements and designed as portable cell phone cases and daily-use mugs, leaving behind traditional cultural elements that belong to the unique characteristics of the countryside.
Optimisation and Quality Evaluation of Teaching Models in Primary and Secondary Schools Based on Deep Learning
Authors: Qin Yongxian 
Published: December 2023

Abstract
This paper examines the concept of deep learning and evaluates the quality of teaching models in primary and secondary schools. Based on the comprehensive evaluation application of fuzzy theory, the fuzzy model is established, the evaluation index scheme is selected, and the quality evaluation model of primary and secondary school teaching mode is constructed. The evaluation index system is divided into indexes, and the weights of indexes are calculated, and the first-level indexes are divided into teaching content, teaching management, teaching effect, and teaching attitude. Calculate the fuzzy comprehensive evaluation score of primary and secondary school teaching mode and adjust the primary and secondary school teaching mode based on the score. The final score of a comprehensive evaluation of teaching mode is 4.32, teaching content Q
1 = 4.33, teaching attitude Q
2 = 4.26, teaching management Q
3 = 4.43, and teaching effect Q
4 = 4.05. In the quality evaluation of primary and secondary school teaching mode, teaching management > teaching content > teaching attitude > teaching effect.
Digital Resource Management and Sharing for Teaching and Learning in Higher Education by Integrating Multiple Data Chain Networks
Authors: Yan Xiaojing 
Published: December 2023

Abstract
In this paper, we construct a GCCP multivariate datalink network for teaching and learning resource sharing through the Generalized Control Chaining Primary Protocol (GCCP) combined with mutual cooperative services among the physical, data link and network layers for resource sharing. The solution set is mapped to the distributed dynamic self-organizing network data links through Nash equilibrium. Attribute descriptions for the necessary digital teaching resources are provided in a P2P system for sharing resources in large-scale heterogeneous teaching environments. Finally, simulations are conducted under the Group Service Control Protocol (GCCP) for teaching resource sharing to verify the effectiveness of the scheduling and management model for digital teaching resources. According to the results, the system with a multivariate datalink network maintains an average cluster size of 5 nodes. The response time of the system increases significantly with the increase of scale when RP(k)C-Grid takes k as 10,20,30,40,50 respectively. This paper effectively manages and maintains the entire digital resource management system for teaching and learning in universities, making it more stable and efficient.
Professional Quality Development of English Teachers in Colleges and Universities Based on Network Learning Community
Authors: Geng Yanmei , Liu Lei 
Published: December 2023

Abstract
In this paper, we first construct an online learning community using the social network cascade model, giving the specific structure and specific roles of the model. Secondly, the social network cascade model is constructed by utilizing multi-sequence temporal coding, temporal bi-directional graph convolutional network and GRU encoder with an attention mechanism. Finally, the effectiveness of the model in the development of English teachers’ professional quality in colleges and universities is verified through the comparative validation of the model and the practical application of the network learning community. The results show that English teachers’ professional quality development scores are high, with a mean score of 5.554. The English posttest scores of the experimental class in the comparison experiment increased by 2.12 points compared with the previous test, with two-tailed Sig.=0.024>0.05. This shows that the network learning community can effectively improve the professional quality development of English teachers and further enhance the student’s English learning performance.