bluuebunny/crossref_metadata_2025_split huggingface dataset:
Role of Helicobacter Pylori Eradication Therapy in the Management of Recurrent Aphthous Stomatitis: A Case Report
Authors: Tannishtha  , Hegde S. , Babu G. S. , Ajila V. , Shama B. S. 
Published: October 2024

Abstract
Recurrent aphthous stomatitis (RAS) is one of the most frequently encountered oral mucosal lesions. The RAS is characterized by recurrent painful ulcers, which can be either single or multiple. The prevalence rate of RAS ranges from 5 to 60% among the different ethnic and socio-economic groups. To date, RAS is one of the least understood oral diseases. It causes many problems for the affected individual due to the diverse precipitating factors and recurrent nature. Prompt diagnosis and management of RAS is a challenge factors. Various micro-organisms, including Helicobacter pylori (H. pylori), are believed to be associated with the development of RAS. H. pylori is a microaerophilic, gram-negative bacterium that colonises the gastric mucosa. Very few reports are available in the literature highlighting the association between H. pylori and RAS. Pain relief, fast ulcer healing increased ulcer-free period are the treatment strategies used for RAS. Identifying the causal factors helps the better management of the patients. The present case highlights successful management of the recurrent ulcers followed by H. pylori eradication therapy.
A Quantitative Study on the Effect of Translation and Dissemination of Keywords of Discourse System with Chinese Characteristics through Emerging Technologies in Japan
Authors: Wang Ruxue 
Published: October 2024

Abstract
The research of Chinese and Japanese machine translation technology is of great practical significance for promoting and inheriting Chinese excellent culture and advancing the development of economy, education, and culture in China and Japan. In this paper, a cross-lingual keyword extraction machine translation model is investigated. The traditional model is improved on the basis of recurrent neural networks RNN and attention mechanism, and the problem of low information memory capacity of LSTM and GRU algorithms is optimized. By introducing the self-attention mechanism, important information can be filtered from a large amount of information, and a keyword recognition system can be constructed. The system covers three levels: word embedding layer, encoding layer, and CRF layer, and the model effectively utilizes the feature extraction mechanism of the Transformer model and introduces the bidirectional mechanism to obtain the richer semantic representation of word vectors. After the above strategies, the scores on the task of extracting the keywords of the discourse system with Chinese characteristics reach up to 89 in word inference and 83 in cultural adaptation, which effectively improves the performance of machine translation compared with other neural machine translators. The keyword “community of destiny” appears frequently in Japanese media reports, and the content involves the excellent cultural essence of the discourse system with Chinese characteristics, which has a benign influence on the dissemination process in Japanese society.
Research on the Design and Effectiveness Analysis of Artificial Intelligence-Driven Intelligent Teaching and Assisting System for Civics and Political Science Courses
Authors: Liu Yue 
Published: October 2024

Abstract
The innovative development of the Civics and Political Science class against the backdrop of artificial intelligence represents a relatively new research direction within the academic world. This paper designs a teaching aid system for civics and political science classes based on artificial intelligence technology, with the main functions of accurate teaching intervention and personalized course resource recommendations. We incorporate the reinforcement learning algorithm into the decision-making process for accurate teaching interventions, build a decision-making model for these interventions based on reinforcement learning, and utilize the Q-learning algorithm to model the decision-making model’s data. Construct the Civics and Politics course resource network, update the keyword weights of the learning interest nodes, mine the interest features, and complete the personalized recommendation of the Civics and Politics course resources in colleges and universities based on collaborative filtering. We apply the system of this paper to the practice of teaching civics and politics to 50 first-year students majoring in ideology and politics at University D. After the practice, the students achieved an overall assessment score of 88.76, a 6.25 improvement over their pre-practice score, and demonstrated improved behavior and civics learning outcomes in the “excellent learners” and “potential learners” categories. The average satisfaction levels in the four aspects of system design, application effect, function evaluation, and function implementation effect are 4.625, 4.635, 4.627, and 4.647, respectively, with a high level of satisfaction.
Calculation of Power Purchase Imbalance Costs for Grid Enterprises’ Agents Considering Uncertainty of Supply and Demand and Price Fluctuations in the Context of Beijing-Tianjin-Tangshan Unified Spot
Authors: Hu Yuou , Han Liang , Xu Naijun , Zhang Jing , Cui Fubo , Liu Jing 
Published: October 2024

Abstract
The regional unified electricity spot market plays an important role in promoting the optimal allocation of power resources over a wider range and cross-regional consumption of renewable energy. This paper examines the supply and demand uncertainty and price volatility of power grid agency power purchases in the context of the Beijing-Tianjin-Tangshan unified spot purchase. It delves into the specific mechanism of unbalanced costs in agency power purchase decisions and investigates the specific channeling methods of unbalanced costs in the dual-track system. Based on the dual-track unbalanced cost under the unified spot market, a dual-track power balance model is proposed based on the typical daily load curve, and a time-based unbalanced cost calculation model is designed. Using the typical daily electricity load data from the power supply enterprise in X province as an example, the calculation and simulation of unbalanced costs are carried out. The spot electricity price fluctuates between 0.25 yuan/(kW•h) and 0.45 yuan/(kW•h) in different periods. The overall unbalanced power purchased by the power grid in the load trough stage is only 6.24% of the total monthly electricity consumption. Still, the unbalanced cost in the study period is of a deficit nature, and its average value reaches −268 million yuan. The calculation method of unbalanced costs caused by agency power purchases clearly reveals the unbalanced cost-sharing mechanism in the context of the unified spot.
Diversity and Inclusion Management in Human Resource Management - Based on Marginal Utility Perspective
Authors: Liu Song 
Published: October 2024

Abstract
This paper optimizes human resource management from the perspective of marginal utility. The utility function proposes the subtraction function of consumption, which represents the law of diminishing marginal utility. The Lagrange multiplier method solves the maximum utility problem. In human resource management, utility and marginal utility are redefined, and the probability density function and distribution function of exponential distribution are used as the index’s marginal utility and utility functions, respectively. Human resource management optimization models I and II were constructed based on the marginal utility, and the models and model parameters were solved. This paper applies the human resource management model to Company R as an example. The calculation shows that the total investment of the current index resources of Company R is 2.55 million yuan, and the total utility calculation is 0.8306. Under the optimization of human resource management based on Model I, the expected value of company R reached 0.8631 while maintaining the unchanged index resource input, an increase of 3.91%. The optimization based on Model II resulted in the index resource input being 2.3285 million yuan, with an unchanged total utility that was reduced by 8.69%.
Effect of Environmental, Social, and Governance System Guided by Wireless Communication Network on Enterprise Investment
Authors: Qin Hongjun , Zhang Bowen , Wang Liao 
Published: October 2024

Abstract

Objective
in the context of the rapid development of wireless communication networks, it explores the relationship between environmental, social, and governance (ESG) scores and corporate financing technical efficiency (TE).

Methods
A-share listed companies are the research object, and the ESG scores of A-share listed companies from 2020 to 2022 are screened. ESG scores are the explanatory variable, and the marketization process (Market) is the moderating variable. Leverage level (LEV), company size (SIZE), return on assets (ROA), growth ability (Growth), Tobin’s q (TBQ), and return on equity (ROE) as control variables, the fixed effect model is adopted for empirical analysis.

Results
TE: mean 1.386, median 1.062; ESG: mean 5.31, median 5.03; SIZE: mean 10.823, the maximum value 14.302, and the minimum value 7.694. The correlation coefficient (CC) between TE and ESG is 0.096 (P < 0.05). The CC between Growth and SIZE is −0.041 (P < 0.1); the CC between LEV and TE is −0.131 (P < 0.05). By adding the Market, the adjusted R2 of the model is 0.767, and the CC between ESG and TE is −0.215. The CC between ESG and TE of state-owned enterprises is 0.156 (P < 0.01); the CC between ESG and TE in non-state-owned enterprises is 0.347 (P < 0.01).

Conclusion
in short, the higher the ESG score is, the higher the TE of the enterprise is. Adjusting the Market can affect the TE of enterprises; state-owned enterprises have weaker financing ability.
Optimization and Integration of Student Work Management Mechanism in Colleges and Universities Based on Deep Neural Networks
Authors: Xu Huaizhi , Wang Dong 
Published: October 2024

Abstract
Under the new situation, student management work in colleges and universities must keep pace with the development of information technology, take the initiative to comply with the laws of the new era, innovate work concepts, revolutionize work methods, and make full use of the new era technology to improve the level of management services. After integrating and optimizing the management mechanism of student work in colleges and universities, the study establishes a deep neural network-based student management work effect assessment model in colleges and universities using cluster analysis and convolutional neural network and takes 20 colleges and universities in city A as examples to conduct empirical analysis. The results show that the fit of the CNN neural network model is relatively good, and the total R value is 0.99634, R
2 = 0.98324, R
2 is greater than 0.75. The student work management mechanism has been optimized and integrated by 13 colleges and universities, and their scores are all above 80 points. Among them, there are 5 colleges and universities whose evaluation results exceed 90 points. The construction of their student management cadres, the construction of student self-government capacity, the construction of school spirit and academic style, the work of campus security and stability, and the campus cultural activities have achieved better optimization results.
Research on real-time scheduling optimization technology of power system based on deep learning
Authors: Lu Min , Jiang Yicheng , Wang Jin , Zhu Jianping 
Published: October 2024

Abstract
In the context of the increasingly severe world climate form, how to rationally arrange and dispatch energy has become an urgent need. This paper proposes a deep learning-based power system scheduling model based on the concept of perfect scheduling, using GRU to learn scheduling data. A different training set is constructed to train the model according to the load characteristics at different moments, and the model is updated in real time based on the data at the current moment. The analysis of the algorithms reveals that the scheduling error rate of this model ranges from −-3% to 2%, and the average RMSE of the scheduling scheme is 2.72, placing it in close proximity to the optimal scheduling strategy. Due to a 6.5% reduction in scheduling cost compared to the average cost of the two analyzed algorithms, the average time reduction is 76.3%. The scheduling optimization model proposed in this paper exhibits excellent performance.
Analysis of the Influence of Traditional Art Colors on Visual Communication Design Effects
Authors: Liu Tuanhong 
Published: October 2024

Abstract
Traditional Chinese art color has a long history of development, integrating rich cultural heritage and unique national style. After elucidating the impact of traditional art colors on the visual communication design effect, the study gathers relevant picture data from the museum’s official website, extracts traditional art colors, divides the vocabulary of color imagery using the improved K-means algorithm, and generates representative color imagery. Following the elemental breakdown of traditional art colors, the study conducts a quantitative examination of traditional art color design and perceptual imagery to determine the visual communication design impact (color imagery) of various traditional art hues. Using the Apriori-based association rule algorithm, we conduct association rule mining for the color-matching laws of various dynasties, thereby calculating the distribution of matching methods and those of the primary color families. Through the analysis, the traditional art color design of 6 groups of representative color imagery is evaluated, and the Tang, Song, Ming, and Qing dynasties’ 7, 6, 5, and 3 color matching laws are also obtained. Similar and neighboring colors dominate color collocation in Chinese traditional art, accounting for 65.00% and 30.00%, respectively. The color collocation law can be utilized in the visual communication design presentation of traditional art colors.
Design of Intelligent Diagnosis and Intervention Model of College Students’ Civic Education for New Media
Authors: Chen Xiuli , Li Ping 
Published: October 2024

Abstract
With the continuous promotion of education informatization and the rapid development of “Internet+” classroom teaching, online teaching of Civics has become an important means of ideological and political education in colleges and universities. In this study, we propose a multi-feature-enhanced deep knowledge tracking model, which utilizes recurrent neural networks to process students’ online learning data to track the changes in students’ knowledge status and further integrates the attention mechanism to enhance the predictive performance and interpretability of the model. In the experiments of predicting students’ performance, the AUC value of the DKT model with multiple features is much higher than that of the standard DKT model, and compared with the MF-DKT model, the MFA-DKT model has the most significant improvement in ACC (5.23%), AUC (3.87%) and F1 (5.99%) on the D4 dataset, which proves that the feature-rich and attentional mechanisms can effectively improve the prediction performance of the model. Improve the model’s prediction performance. The heat map of a student’s knowledge tracking results indicates that there are smooth changes in knowledge levels, which indicates that the MFA-DKT model can be easily understood. The student had the highest level of mastery of U1 and the lowest level of mastery of U4. After the precise teaching intervention, his mastery level of U4 knowledge points increased from 0.39 to 0.62, and his mastery level of U3 knowledge points increased from 0.54 to 0.83, while his weak points were strengthened.
Quantitative dosimetric analysis with independent software solutions and comprehensive treatment plan parameter evaluation in skin brachytherapy
Authors: Półtorak Michał , Banatkiewicz Paweł , Półtorak Łukasz , Sobolewski Piotr , Zimoń Damian , Szwast Maciej , Walecka Irena 
Published: October 2024

Abstract

Background and Purpose: This study aimed to investigate quantitative dosimetric analysis with independent software solutions and comprehensive treatment plan parameter evaluation for the treatment of skin cancer. Specifically, we aimed to conduct a dosimetric analysis of the treatment plan and we presented the clinical parameters used in our institution of clinically used treatment plans.

Materials and Methods: This study compares dose calculations between BrachyVision v16.1 and RadCalc v7.2 for brachytherapy applications. It evaluates key treatment plan parameters, including V100, V150, V200, D90, CI, DNR, mean treatment depth, treatment time, and various Gamma values. Dose calculations utilized the 192-Ir GammaMed HDR Plus source. RadCalc employed a referenced model. Applicators were 3D printed using PLA as the printing filament. Results: The study assessed compliance for 20 patient plans, finding a mean dose difference of 0.05% with a standard deviation of 0.26%. V100, V150, and V200 showed high compliance, with V100 having a minimal mean difference of 0.01%, a standard deviation of 0.02% and V200 exhibiting the lowest compliance 0.52%, a standard deviation of 1.72%. D90 values displayed high compliance with a mean difference of 0.35%, and a standard deviation of 1.85%. The coverage index parameter was strongly supported (R²: 0.984). DNR values indicated close agreement with a mean difference of 0.01%, a standard deviation: of 0.10%. The average Gamma value was 99.91% with a standard deviation of 0.11%.

Conclusion: The agreement between treatment planning system and independent software solutions results validates treatment planning accuracy. This supports the method’s suitability for patient care and encourages wider adoption, ensuring quality assurance in clinical settings.
ANALISIS PUTUSAN NOMOR 60/PDT.SUS.HAK CIPTA/2020/PN. NIAGA JKT PST ATAS PERLINDUNGAN HUKUM PEMEGANG HAK CIPTA PROGRAM KOMPUTERANALYSIS OF DECISION NUMBER 60/PDT.SUS. COPYRIGHT /2020/ PN.NIAGA JKT PST ON LEGAL PROTECTION OF COMPUTER PROGRAM COPYRIGHT HOLDERS
Authors: Jamlean Rozikin 
Published: October 2024

Along with the development of technology, the importance of legal protection to anticipate legal violations of copyright, the author takes the formulation of this research problem (1) How is the legal protection of the copyright of the CXM application computer program recorded by other parties without the permission of the copyright holder in case No. 60/Pdt.Sus.Copyright/2020/PN.Niaga Jkt Pst? This research uses normative legal research. Analysis The copyright protection of the CXM computer program, in this case, written by a third party without a license to the copyright owner is based on article 97 paragraph (1) of the Copyright Act, and the plaintiff claims to be the original copyright owner. Since you are the creator of the CXM application, the plaintiff is the owner of the application. It is stated that the business registration number titled Customer Service Management System number 000116753 created in the name of the defendant is incorrect, because the CXM application was first filed, published and distributed by the plaintiff for the first time, the plaintiff requests that the registration be terminated with the registration number 000116753 and the name specified above as the defendant in the recording of the creation by the Customer Experience Management System and the defendant all legal effects. The co-defendant is also directed to immediately delete the creation registration number 000116753 under the name of Customer Experience Management System which is named by the Defendant at the place of registration
MATHEMATICAL PROVISION OF THE PROCESS OF CONSTRUCTING THE SCHEDULE OF EXAMINATIONS OF STUDENTS OF HIGH SCHOOLS
Authors: Бубарева О.А. , Жданов И.Р. 
Published: October 2024

В статье задача составления расписания рассматривается как процесс распределения конечного множества событий во времени с соблюдением ограничений. Статья посвящена описанию математической модели процесса автоматизированного составления расписания в образовательной системе вуза, а также разработки программной системы, базирующейся на ее основе. Показано, что формирование расписания занятий и экзаменов в вузе с большим контингентом студентов и множеством дисциплин различных учебных планов, при учете всех требований и ограничений является сложной и комплексной задачей. В работе описывается поэтапный процесс формирования расписания экзаменов. Качество сформированных расписаний занятий и экзаменов влияет на эффективность учебного процесса вуза.
In the article the task of scheduling is considered as the process of distribution of a finite set of events in time with observance of restrictions. The article is devoted to the description of the mathematical model of the process of automated scheduling in the educational system of the university, as well as the development of a software system based on it. It is shown that the formation of a schedule of classes and examinations in a university with a large contingent of students and a multitude of disciplines of various curricula, with all requirements and constraints taken into account, is a complex and complex task. The paper describes the step-by-step process of forming the exam schedule. The quality of the formed schedules of classes and examinations influences the effectiveness of the educational process of the university.
CAE-SYSTEMS FOR MODELING THE PROCESS OF CAVITATION IN THE ENVIRONMENT WITH DOUBLE-FREQUENCY ULTRASOUND IMPACT
Authors: Цыганок С.Н. , Попенко А.Н. , Голых Р.Н. 
Published: October 2024

В статье приведен обзор и сравнение CAE-систем (ANSYS и COMSOL), реализующих компьютерное моделирование процесса кавитации в среде при двухчастотном ультразвуковом воздействии. Для указанного процесса описано преимущество компьютерного моделирования, использующего численное решение методом конечных элементов. Для каждой приведенной системы описаны реализованные математические модели процесса кавитации и модули, осуществляющие расчёты. В результате сравнения систем в соответствии с заданными критериями наиболее подходящей признана система COMSOL Multiphysics с модулями MEMS и Acoustic.
The article gives an overview and comparison of CAE-systems (ANSYS and COMSOL), realizing computer simulation of the process of cavitation in an environment with a two-frequency ultrasonic impact. For this process, the advantage of computer modeling using numerical finite element method is described. For each reduced system described implemented mathematical models of the process of cavitation and modules that perform calculations.. As a result of comparing the systems in accordance with the specified criteria, the COMSOL Multiphysics system with modules MEMS and Acoustic is recognized as the most suitable.
Forensic-Psychological (Psychologo-Vocalographic) Examinations Results of the Use of Scientific and Technical Means
Authors: Китаев Н.Н. , Китаева В.Н. 
Published: October 2024

Проведено исследование генезиса судебно-психологической экспертизы аудио- и видеозаписей в России. Отмечены ошибки специалистов при производстве психолого-вокалографических экспертиз. Предлагается создание единого государственного экспертного органа для качественных психологических экспертиз результатов применения научно-технических средств.
The study of the genesis of forensic psychological examination of audio and video recordings in Russia is carried out. Errors of specialists in the production of psychological-vocalographic expert examinations are noted. The creation of a single state expert body for quality psychological expertise of the results of the use of scientific and technical means is proposed.