bluuebunny/crossref_metadata_2025_split huggingface dataset:
Constructing a Theory of Affective Stylistics in Modern Chinese Literature Based on Knowledge Mapping
Authors: Wang Zhiyong 
Published: February 2024

Abstract
Emotion stylistics is an important bridge to communicate the emotions of characters and the emotions of readers in modern Chinese literature. This paper extends the emotion dictionary based on the point mutual information in the SOPMI algorithm and introduces the emotion words into the emotion dictionary to calculate the emotion values of modern Chinese literature texts. Modern Chinese literature’s emotions can be visualized through knowledge filtering, knowledge fusion, and text classification modules of the knowledge graph. Multimodal theory is used to construct a theoretical framework that is dynamic and multimodal stylistic. The study focuses on the emotional intensity, tendency, flow, and visualization analysis of The Divine Eagle Warrior, a modern Chinese literature, as the research object. The results show that the emotional density of the original work is 0.107, the amount of both positive and negative emotions reaches about 3, and the maximum fluctuation of emotions in the whole text is 0.23. The results reveal the structural composition of emotions in the discourse of modern Chinese literature, which is of great reference significance for further understanding the nature of literature and constructing the theory of emotional stylistics.
Analysis of the Influence of Ideological and Political Education on Students’ Psychological Cognition in Colleges and Universities in the Context of Informatization
Authors: Wu Fengqiong 
Published: February 2024

Abstract
To assist students develop sound moral principles and enhance their psychological and cognitive abilities, colleges and universities should provide them with ideological and political education. This study builds a standard regression model and a panel threshold regression model using statistical data collected from colleges and universities across the nation from 2012 to 2019 as an example. The models are evaluated for smoothness and multiple covariance by the testing process. Panel threshold regression and benchmark regression were employed to evaluate the impact of political and ideological education on learners’ psychological cognition in colleges and universities. The findings indicate that, in the absence of a control variable, students’ psychological cognition rises by 0.521 points for every percentage point increase in the intensity of ideological and political education provided by colleges and universities. The teaching content, cognitive mechanism, and psychological needs of political and ideological education in higher education institutions have a single threshold effect on the level of psychological cognition of students, with threshold values of 84.54, 29.16, and 35.98, respectively. Cognitive mechanisms and psychological needs are currently below these thresholds, and they will not exceed them. The psychological and cognitive development of the kids won’t be affected by the level being below the threshold value. To enhance students’ psychological cognition, civic education at colleges and universities must identify the psychological requirements of the students, comprehend the subject matter, and employ solid cognitive procedures.
Automated monitoring of high-voltage transmission lines based on machine vision
Authors: Wang Moqi 
Published: February 2024

Abstract
This paper takes the automated monitoring of high-voltage transmission lines as the entry point and constructs an automated monitoring model of high-voltage transmission lines based on machine vision. Through the transmission equipment recognition algorithm to identify the type and location of the equipment in the inspection image, using image processing methods for the collected high-voltage transmission line image color image grayscaling and grayscale image stretching, and then grayscale image smoothing and segmentation, so as to achieve the identification of the location of high-voltage transmission line fault location. Simulation test for image processing and transmission equipment identification methods, and then carry out automated monitoring experiments with high-voltage transmission line conductor stranding as an example to verify the feasibility and reliability of the model in this paper. The results show that for the automatic detection of individual conductor strand breakage, the method of this paper detects the number of strand breakage is only 1-2 less or more than the actual number of strand breakage; there is a certain difference, but basically in line with the actual situation, and the method of this paper, on average, detects the efficiency of the method is faster than the traditional method by 5.69~7.18 s/m. The research to enhance the quality of automated monitoring of high-voltage power transmission lines has a certain application value.
Differential Analysis of Stylistic Features in English Translation Teaching Based on Semantic Contrastive Analysis
Authors: Yan Rong 
Published: February 2024

Abstract
In this paper, in the process of digitization of stylistic features in English translation teaching, the simulated stylistic features in English translation teaching activities are quantified and pre-emphasized to obtain the decoder of stylistic features of English translation with higher precision, and the stylistic features recognition algorithm in English translation teaching is designed, and the results of the stylistic features recognition in English translation teaching can be obtained by substituting the initial data into the recognition algorithm. Based on stylistic feature recognition, combined with the post-particle swarm optimization algorithm and artificial neural network to construct the stylistic feature analysis model in English translation teaching, and use the method of statistical analysis to analyze the differences of stylistic features in English translation teaching. The results show that the rank means value of auxiliary is the highest, reaching 209.81, the lowest is a preposition (145.17), and the conjunction and adverb are 154.17 and 157.45 respectively, which indicates that auxiliary has the strongest variability of features in the translation of English novels, and this study enables students to have a comprehensive and in-depth understanding of the text, to grasp the stylistic features of the text, and to improve the students’ comprehensive English language ability and translation level.
The Application of POA Teaching Concept in English Teaching Reform in the Background of Internet
Authors: He Yan , Zhang Ya , Zhang Qiongfang 
Published: February 2024

Abstract
How to explore the effective English teaching mode in the Internet era and change the passive learning state of students while promoting the development of students’ English proficiency is an urgent problem to be solved. The application of the POA teaching concept in English teaching reform in the context of the internet. By combining the LDA topic model with the LSTM neural network model, students’ emotional tendencies are fully analyzed during the online evaluation of English smart classrooms. Application practice was carried out through students’ English performance, learning interests, and attitudes before and after the teaching experiment, and sentiment analysis was also carried out for the satisfaction evaluation of English smart classrooms. The results showed that the English grades of the students in the experimental class utilizing the English smart classroom teaching mode increased by 4.95 points compared to the grades of the students in the control class, the overall negative attitude of the students towards English learning decreased by 28.77% after the experiment, and the affective values of the students towards the English smart classroom teaching mode of the teaching mode ranged between [0.6,0.8]. Utilizing POA theory to carry out English smart classroom teaching can enhance students’ interest in English learning, improve the quality of English teaching, and provide certain references for English teaching reform.
Innovation and Practice of Talent Cultivation Mode of Art Education Specialties in Colleges and Universities under the Background of “Internet +”
Authors: Xie Huan 
Published: February 2024

Abstract
This paper focuses on the problems of art education professional training in colleges and universities under the background of “Internet+”, realizes the innovation and practice of art education professional training mode in colleges and universities based on the “Internet+” art education platform, and at the same time combines the K-means algorithm and genetic algorithm to construct the teaching data analysis model of the art education platform. Innovating and Practicing Talent Cultivation Modes for Art Education Specialties in Colleges and Universities Through the Internet. Based on the art education professional talent cultivation platform in colleges and universities, 10 research factors are identified through the self-assessment scale of mental health symptoms, and the psychological regulation based on the “Internet +” art education platform is analyzed. The results show that the t-indexes of emotional exhaustion (7.019), depersonalization (4.761), and low sense of achievement (5.001) are all positive and valid data in the regression equation data analysis of the three dimensions of the psychological problems of art education majors and the research factors, indicating that the art education platform based on the “Internet +” can effectively It shows that the art education platform based on “Internet+” can effectively correct the mental health problems of the art education professional training mode. According to the current situation of art education professional training in colleges and universities under the background of “Internet +”, this study puts forward the innovation and practice strategy of art education professional training mode, which provides a theoretical and practical reference basis for art education professional training in colleges and universities.
A Social Network Analysis Approach to Explore the Dualistic Interaction between the Digital Economy and Industrial Economics
Authors: Ding Lu , Huang Fujiang 
Published: February 2024

Abstract
In recent years, the digital economy has continuously innovated the traditional industrial economy and brought about the continuous optimization of economic structure. In recent years, the digital economy has continuously innovated the traditional industrial economy and brought about continuous optimization of economic structure. By combining the AP clustering algorithm, this paper creates a representative viewpoint extraction model that extracts the relevant features of relevant variables and generates a more representative economic viewpoint. The social network structure between the digital economy and industrial economics is analyzed using the social relationship graph. Using the information gain calculation formula, the correlation calculation is carried out on the characteristics of variables with stronger relationships and larger information gain. Meanwhile, the correlation coefficient between variables with larger information gain is calculated by Spearman’s coefficient. The influencing factors of industrial economic development under the digital economy are analyzed through three dimensions, and the theoretical model of group effect analysis is constructed to analyze the binary interaction between the two. Through the method of empirical analysis, the interaction between the digital economy and the industrial economy is tested in terms of smoothness and cointegration. HP filtering, as well as impulse response analysis, are carried out to analyze the interaction between the two in A. After 9 groups of experiments, the cointegration number of the original hypothesis is 0 or ≥1, the original hypothesis is rejected at a significance level of 1%, and the eigenvalues range from 67.4566 to 69.7445, and there is a correlation between the two. The impulse response value of the industrial economy improves from 0.0002 to 0.001. The development of the digital economy will lead to the development of the industrial economy.
Exploration of Civics Teaching Mode in Colleges and Universities Relying on Digital Classroom Platforms
Authors: Dong Xueying , Liu Guizhen 
Published: February 2024

Abstract
The digital teaching model of Civics at the current stage still has deficiencies and does not achieve the expected effect. This paper utilizes data analysis and mining methods starting from the digital classroom platform to assess students’ knowledge and skill mastery through the CDA static cognitive analysis model. Then, students’ learning behaviors were analyzed using K-Means, and an evaluation model of interactive behavioral characteristics was constructed to analyze students’ Civics learning characteristics in combination with the above three aspects. Relying on the digital classroom platform, a corresponding teaching model for Civics in colleges and universities was developed. Our analysis of the impact of teachers’ and students’ interaction behaviors in Civics teaching and the realistic results of the Civics teaching model designed in this study is aided by the selection of empirical samples. The results show that the optimized students’ interactive behavior rate of Civics learning is more than 50%, and the interaction time increases to 19 minutes, which has a significant improvement effect. Analyzing the digital classroom teaching model of Civics, 28 students in Case 2 in the course comparison had greater interest in Civics learning, meanwhile, only 6 students had low interest in Civics learning, and the digital teaching model of Civics effectively enhanced students’ knowledge and literacy.
A Study of the Assistive Nature of Artificial Intelligence Technology for Japanese Translation and Interpretation
Authors: He Xiaoting , Shi Liangliang 
Published: February 2024

Abstract
Traditional Japanese translation methods have certain disadvantages, and the introduction of artificial intelligence technology into them can enhance the effect of Japanese interpretation and translation. In this paper, the Japanese language data of Twitter and Facebook are used as the basis to construct a Japanese language interpretation and translation corpus, and the GPT-2 model is constructed on the basis of Transformer for Japanese text translation. To optimize the Seq2Seq model for Japanese speech interpretation, the Attention mechanism is introduced to establish a Japanese speech translation model. A Japanese oral and written corpus was used to analyze the validity of the methods mentioned above. The results show that the class/form ratio in the Japanese oral/translated corpus fluctuates between [0.1231, 0.1448], but the survival rate of borrowed words under the scientific category reaches the highest of 54.14%, and the average number of occurrences of each word is between [4.35, 4.95]. Japanese verbal and translated texts had an average sentence length of 40 hours, and their translation accuracy was approximately 74.16%. The quality of translation can be effectively improved, and cultural exchange between China and Japan can be enhanced by integrating AI technology with Japanese interpretation and translation.
The Diversification of College English Listening Course Teaching under the Background of Informationization
Authors: Lei Jie , Li Shao 
Published: February 2024

Abstract
The traditional mode of listening teaching has been unable to fully adapt to the development trend of the times, and it is also difficult to meet the learning needs of students in the information age. In this paper, the multi-objective optimization algorithm is used to improve the teaching-training process to optimize the problems existing in the teaching of listening course, to provide a multi-objective teaching optimization algorithm to imitate the English listening teaching and learning process and to deal with the non-linear constraints in the multi-objective optimization problem utilizing a penalty function. The multi-objective teaching optimization algorithm is used as the basis to establish a diversified teaching model for college English listening courses, and the effectiveness of the teaching is verified by the listening learning performance, students’ multidimensional ability, and learning emotion. The results show that after 16 weeks of diversified teaching, the mean scores of students’ listening test scores in the experimental group increased by 9.52-24.50 points compared with those before the experiment, the mean value of short-term memory scores was the highest at 27.98, and the Cohen’s d value was above 0.861, and the mean scores of the students’ learning emotion test increased by 1.2938 points compared with those before the implementation. Applying the diversified teaching mode to the teaching of college English listening courses can improve students’ English listening performance, eliminate their anxiety and fear, and promote the diversification of college English listening teaching.
Disruptive method for managing BIM design and construction using Kanban
Authors: Gonzalez Carlos Francisco Lucena , Rodriguez Antonio Manuel Reyes , Manzanares Francisco Villena 
Published: February 2024

Abstract
Companies in the construction sector need effective information management. In particular, the transmission of information within a company is key to improving its management and competitiveness. Currently, many companies in the construction sector are making a great effort to implement the building information modelling (BIM) methodology. Such implementation requires collaborative work through the Cloud between the different agents in the construction process of any project. In fact, information management in BIM projects is related to the creation, storage, transfer and efficient application of information within a three-dimensional (3D) virtual model of the project. The size of the project also determines the optimal management approach. The main problems resulting from poor information management may be a lack of coordination between actors, loss of information or misinterpretation of information. This work has two stated objectives. The first objective is to carry out a literature review of the applications of BIM technology and the importance of managing knowledge according to International Organisation for Standardisation (ISO)- 19650. The second objective is to propose a disruptive method based on the Kanban tool to properly manage BIM information in the design and construction phases. This paper has practical implications for the improvement of BIM application for project managers.
ممارسات إدارة الموارد البشرية ودورها في التجديد الاستراتيجي بحث تحليلي لآراء مديري عينة من المستشفيات الخاصة في مدينة أربيل
Authors: ولي أحلام إبراهیم , حميد شكور مجيد 
Published: February 2024

يهدف البحث الحالي إلى تحليل علاقة وأثر ممارسات ادارة الموارد البشرية للمستشفيات والمتمثلة بـ (الاختيار والتعين، التدريب والتطوير، تقويم الاداء، صيانة الموارد البشرية) في أبعاد التجديد الاستراتيجي والمتمثلة بـ (المحتوى، العملية، السياق)، وتم تحديد مشكلة البحث من خلال طرح تساؤلات تمحورت حول المفاهيم الفلسفية لمتغيرات البحث، وحول طبيعة العلاقة والاثر بين متغيرات البحث. وكانت المستشفيات الخاصة في مدينة اربيل ميدانا بحثها، وتم تصميم مخطط فرضي يعبر عن الفرضيات الرئيسية، واستخدمت استمارة الاستبانة كوسيلة للحصول على البيانات حيث تم توزيعها على المديرين ومسؤولي الاقسام والوحدات في المستشفيات الاهلية المبحوثة قوامها (105) مديرا، وكانت عدد استمارات الصالحة للتحليل (94) استمارة.
ولأجل التأكد من صحة الفرضيات خضعت لاختبارات متعددة من خلال استخدام البرنامج الاحصائي (SPSS. V.25). وانتهج البحث المنهج الوصفي التحليلي. ووصل البحث الى استنتاجات عدة اهمها كشفت نتائج تحليل الأرتباط عن وجود علاقات معنوية موجبة وبمستوى عالي بين ممارسات ادارة الموارد البشرية والتجديد الاستراتيجي على المستوى الكلي والجزئي، وهذا يؤكد أستفادة المستشفيات المبحوثة من تحديد ممارسات ادارة الموارد البشرية ومساهمتها في التجديد الاستراتيجي. فضلاً عن، وجود تأثير ايجابي وبمستويات معنوية لمتغير ممارسات ادارة الموارد البشرية في متغير التجديد الاستراتيجي ويقترح البحث ضرورة استثمار العلاقة القوية بين ممارسات ادارة الموارد البشرية والتجديد الاستراتيجي وتوجيه هذه العلاقة نحو القرارات الاستثمارية في المستشفى والوصول الى المركز التنافسي.
متطلبات التطوير التنظيمي من وجهة نظر ممارسي التطوير التنظيمي في مديرية الأحوال المدنية والجوازات والإقامة في محافظة نينوى
Authors: هاشم زينة عبد النافع , الخشاب حسان ثابت 
Published: February 2024

سعت الدراسة إلى تحديد متطلبات التطوير التنظيمي الفاعل في مديرية الاحوال المدنية والجوازات والاقامة في محافظة نينوى، والتي تعد من المنظمات الخدمية المهمة لدى المواطن وتمثيله بأبعاد الدراسة (الهيكل التنظيمي، الاستراتيجية، الثقافة التنظيمية، تقانة المعلومات، الموارد البشرية)، وتمحورت مشكلة الدراسة في طرح العديد من التساؤلات كان أهمها مدى تباين توافر أبعاد التطوير التنظيمي في المنظمة المبحوثة؟ وماهي المتطلبات اللازمة لتحقيق هذا البعد وتحقيقاً لهدف الدراسة فقد تم توظيف المنهج الوصفي التحليل كمنهج للدراسة من خلال توزيع استمارة استبانة واخذ اراء المجيبين ومن ثم العمل على تحليلها احصائياً، وتم الاعتماد على إجراء المقابلات مع اصحاب الخبرة والتخصص في المديرية المبحوثة وقد تم أخذ آرائهم ومقترحاتهم في استمارة خاصة، وتمثل مجتمع الدراسة بـ (615) فردا، واختيرت منهم عينة بواقع (216) فردا، وقد تم استخدام نوعين من استمارات الاستبانة كأداة لجمع بيانات الدراسة وتم تحليل بيانات هذه الدراسة من خلال عدة اساليب إحصائية، برنامج الاحصائي (SPSS) وبرنامج (Amos) لاختبار الفرضيات والتأكد من صحتها. وفي ضوء المعالجة الإحصائية تم التوصيل للعديد من النتائج كان أهمها: ان هناك اختلاف في مستوى توافر ابعاد التطوير التنظيمي، وان البعد ذات تأثير الفاعل في تحقيق التطوير التنظيمي هو الهيكل التنظيمي، وان أكثر بعدين بحاجة الى تطوير هما (الهيكل التنظيمي والموارد البشرية) من وجهة نظر ممارسي التطوير التنظيمي وانهما الاكثر تأثيرا على سير العمل في المديرية، وأخيراً اقترح الباحثان المتطلبات اللازمة لتطوير هذه الابعاد.
دور مرونة الموارد البشرية في إدارة الأزمات بحث ميداني في وزارة الصحة والبيئة
Authors: حسين أحمد حبيب , جثير سعدون حمود 
Published: February 2024

يهدف البحث إلى تسليط الضوء على مفهوم مرونة الموارد البشرية وأهميتها وأنواعها فضلاً عن اعتماد مجموعة من أبعاد الموارد البشرية لمعرفة دورها في إدارة الأزمات، لذا تنبع أهمية البحث من أهمية متغيرات موضوع البحث "دور مرونة الموارد البشرية في إدارة الأزمات"، اذ تتناول تفسير الجانب النظري لمفاهيم مرونة الموارد البشرية وإدارة الأزمات، فضلاً عن تحليل نتائج الجانب الميداني في العينات المبحوثة.
وعلى وفق ذلك تم اختيار قطاع الصحة في العاصمة بغداد مجالاً لتطبيق البحث، وقد تم تحديد مجموعة من المستشفيات الصحية المخصصة لمعالجة مرضى (كورونا) برعاية هيئة خلية الأزمة في وزارة الصحة والبيئة كمجتمع للبحث، أما عينة البحث هي مجموعة من الموظفين البالغ عددهم (210) موظفاً في العينات المبحوثة، كما اعتمد البحث للتحقق من دور مرونة الموارد البشرية في إدارة الأزمات على الاستبانة الموجه إلى أفراد العينات المبحوثة البالغ عددها (210)، والتي تتألف من (30) فقرة تتعلق بمتغيرات البحث.
تم التوصل إلى مجموعة من الإستنتاجات أهمها هي تبين بأن عملية الإتصال لا تتم بشكل دقيق ومتواصل مع الجهات المخولة حيث جاءت ضعيفة جداً، والتي قد تؤدي إلى الإضرار بحياة المواطنين، فضلاً عن صعوبة متابعة تطورات الأزمة بإستمرار.
وعلى أساس ذلك تم التوصل إلى أهم التوصيات بصدد ضرورة توفير برنامج خاص لإدارة عملية الإتصال بشكل دقيق ومتواصل مع الجهات المخولة، والتي تؤدي إلى إحتواء الأزمة الحالية.