bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the Design of Entrepreneurship Simulation Experimental Projects Based on Interaction Models
Authors: Jia Fengling 
Published: October 2024

Abstract
Entrepreneurship is one of the driving forces of economic development in the new era, but entrepreneurship is also highly risky behavior. The goal of constructing the entrepreneurial interactive decision-making model and entrepreneurial project system model is to provide a theoretical reference value for entrepreneurial teams through simulation experiments. The conceptual model of entrepreneurial team interaction decision-making is constructed based on multi-intelligence under the support of relevant theories, and the main influencing factors affecting the interaction decision-making are analyzed and the specific decision-making model is designed on the basis of this. Then, according to the ideas and principles of system dynamics, the boundary of the system is delineated, the scope of research is clarified, the structure of the system is analyzed, the levels of the system are delineated, and the feedback mechanism of the system is determined. The relationship between the system levels is analyzed, feedback loops and causality diagrams are established, and in this way, a mathematical and canonical system dynamics model is established, and finally, simulation prediction and hypothesis testing are carried out. The regression results show that there is a positive effect of mutual influence among the three variables of the interaction decision model: team initiative, team decision performance. The error between the values of this paper’s model for simulation and the actual values is less than 10%, and the improvement of entrepreneurial R&D investment and the conversion rate of scientific and technological achievements can promote the number of entrepreneurs and entrepreneurial structure to different degrees. Effective predictions of the influencing factors and development trends of entrepreneurship in the future have been made, which provides policy references for entrepreneurship to be carried out more effectively in practice.
Empirical analysis of monthly electricity consumption prediction in manufacturing industry using machine learning techniques
Authors: Shi Yan , Yang Fengjiu , Zhang Yi , Wang Siteng , Han Junjie 
Published: October 2024

Abstract
Electricity consumption prediction is an important part of power planning and the basis of power dispatch planning. The SVM and GBDT algorithms that were optimized by the PSO algorithm are used to build the machine learning-based electricity consumption prediction model in this paper. The decomposed and reconstructed high-frequency signals and low-frequency signals are optimized by the particle swarm algorithms SVM and GBDT for power consumption prediction, respectively. Improve the clustering performance of the traditional fuzzy C-mean algorithm for unbalanced data. The performance of the algorithms is analyzed in two different application scenarios, namely, artificial dataset and power users' real measurement dataset. Power consumption prediction in the manufacturing industry is performed. It is found that the ARI, FMI, and AMI index values of the improved algorithms proposed in this paper are 0.9543, 0.9347, and 0.9344, respectively, on the grid user-measured dataset, while the traditional DPC and K-means clustering algorithms are less effective. The machine learning algorithm optimized after wavelet decomposition increased R² by 8.98%, MAPE decreased by 19.78%, and RMSE decreased by 11.53% compared to PSO-GBDT, and the predictive evaluation indexes were all improved, and the two machine learning algorithms in this paper optimized by wavelet decomposition combined with PSO have good predictive effect R² increased from 0.801 to 0.842, and the two machine learning algorithms designed in this paper based on wavelet decomposition have good predictive effect R² increased from 0.801 to 0.842. The designed machine learning model for electricity consumption prediction based on wavelet decomposition and PSO has excellent performance, and the design expectation has been fulfilled. This paper makes a useful exploration and proposes an effective method for accurate prediction of electricity consumption in the manufacturing industry.
Exploring the Application of Image Recognition Technology in Evidence Analysis for Legal Professions
Authors: Tan Yuanyuan , Li Ying 
Published: October 2024

Abstract
Image recognition technology is widely used in the field of criminal investigation or in the civil field, in which fingerprint image recognition technology, as a means of verification, has a very high legal authority and plays an irreplaceable role. In this paper, image recognition technology is specifically applied to the extraction of fingerprint features from crime scenes. The proposed fingerprint image curve changes are used in the image patch recognition algorithm. By analyzing the changes in the fingerprint curve profile, the evolution law of the fingerprint curve is calculated. Then, using the discrete iteration method, the missing fingerprint image is repaired for recognition. Experiments show that the method in this paper can effectively repair the missing fingerprint image part. Despite the low recognition rate for fingerprint images of 88.1%, other quality images are correctly recognized at more than 95% and have a relatively good recognition effect. Legal practitioners are most satisfied with the accuracy of feature extraction using this technique after using it.
Construction of Digital Evaluation Model for Teacher Literacy in Colleges and Universities and Its Optimization Strategy
Authors: Yang Yu , Shi Zequn , Wang Kaiming 
Published: October 2024

Abstract
In this paper, by sorting out the principles followed by some scholars in constructing the evaluation index system of teacher literacy in colleges and universities, combined with the actual situation of teacher literacy in a college or university, the preliminary selection of teacher literacy evaluation indexes is made. The Delfel method must be used to screen the preliminary selection of evaluation indicators and then determine the teacher literacy evaluation index system. With the help of a hierarchical analysis algorithm, calculate the weight value of each index, formulate the evaluation factor set and comment set, and construct a fuzzy evaluation model. Adopt the model of this paper to explore the current situation of teacher literacy development. The comprehensive evaluation matrix of the three-level indicators in the teacher literacy evaluation index system of the school is 3.7519, 6.2918, 3.353, 3.407, and 3.1964. Based on the principle of maximum affiliation, the evaluation results of teacher literacy in the school are good, and at the same time, it maps out that there is a problem of teacher literacy in colleges and universities, and in order to promote the college and university teachers to have excellent literacy, it puts forward two optimization strategies, namely, teacher training and a sound appraisal mechanism. To promote the excellent quality of college teachers, two optimization strategies are proposed, namely, teacher training and sound assessment mechanisms.
A study of social media influencer marketing strategy adjustment based on big data analysis
Authors: Zhou Yuan 
Published: October 2024

Abstract
With the development of the Internet, social media has brought new shopping experiences to consumers, and enterprises have joined the wave of social media marketing, which has led consumers to buy their wishes through social media. This paper analyzes the reconstruction of marketing activities in terms of information dissemination, audience expansion, and community building. According to the behavior of social media users, the key indicators of media marketing include the consumer’s awareness of media marketing, consumer behavior, and how these indicators affect the willingness to buy. The article presents the direction for adjusting the social media influence marketing strategy. Marketers must take into account the comprehensive value of the affected people when selecting the influence. At the same time, the cognitive effect of social media on channel optimization is significantly affected by the elimination of costs, and optimizing channels also benefits marketing effectiveness.
Inheritance and Innovative Presentation of Canal Cultural Heritage Using VR Technology
Authors: Zhou Danyang 
Published: October 2024

Abstract
The use of VR technology to realize the innovative presentation of canal landscapes is an effective technical means to inherit the cultural heritage of canals. In order to improve the accuracy and efficiency of point cloud alignment in virtual modeling, this paper takes advantage of feature alignment, and the ICP algorithm to find the optimized starting position using the SAC-IA algorithm and then adopts the ICP algorithm to carry out fine alignment and on the basis of which, a virtual reality system Analysis shows that the alignment method adopted in this paper demonstrates better accuracy and efficiency than similar algorithms in both coarse and fine alignment tests. Applying the constructed virtual canal culture presentation system for knowledge education, it is found that the students in the experimental group have a better grasp of knowledge related to canal culture and learn more efficiently, and the quantitative scores of satisfaction in the four dimensions of learning method, learning efficiency, learning interest, and learning content are 4.85, 4.7, 4.7, and 4.6, which indicate that the system helps to increase people’s interest in the cultural heritage of canals.
Application and practice optimization of vibratory modes in the teaching of fundamental sight-singing and ear training
Authors: Huang Wei , Fang Hong 
Published: October 2024

Abstract
This paper first introduces the vibration modal analysis system and its general design, then improves the smoothing function and wavelet function transform algorithms in the system, and then determines and verifies the characteristic parameter algorithms in the structure of the improved wavelet transform vibration modal algorithms based on longitudinal waves, transverse shear waves, and bending waves in beams. The application of vibrational modes in sight-singing and ear training is examined and analyzed. The results show that the wavelet transform algorithm has the highest accuracy in calculation results. The calculation of vibration modes can be more effective using this basis. The investigation of students’ attitudes towards sight-singing and ear-training learning found that 52.3% of the students like sight-singing and ear-training learning, 40.13% and 7.37% of the students have no feeling for sight-singing and ear-training learning as well as disliking sight-singing and ear-training classes.48.68% and 37.45% of the students agree that sight-singing and ear-training training can help to improve their music literacy, and 25.79% and 56.14% of them think that Less gain in sight-singing ear training class is caused by boring teaching mode and single content. The investigation of vibrational modes in the teaching process of sight-singing and ear training found that 63.27% of the students had a better understanding of the learning process of vibrational modes; 68.59% of the students liked the teaching process of vibrational modes and the teaching method; and 70.79% of the students thought that the vibrational modes were helpful to the learning of sight-singing and ear training.
Course evaluation of preschoolhygiene under the multimodal learning model
Authors: Wang Chengcheng 
Published: October 2024

Abstract
In traditional learning situations, teachers mainly evaluate students’ behavioral changes, emotional changes, and interactions to ensure teaching quality. The Random Forest algorithm is employed in this paper to determine the characteristics of students’ body postures and observe their behavioral changes. The geometric analysis method is used to recognize students’ head posture, and the image test classification module is used to capture students’ facial expressions. Analyze the teacher-student learning interactions in the classroom by examining the student’s question-answering records from the interactive cloud platform. A multimodal information fusion model was constructed to combine students’ multimodal performance data to complete the evaluation of the preschool hygiene course. The results of the case study of five students showed that the fusion results of the ratings of students 1-5 under the multimodal information fusion model of the course evaluation were 0.56, 0.888, 0.083, 0.452, and 0.957, respectively. The results of the fusion of the ratings of students 2 and 5 were very serious in learning the course, and the percentage of their time spent in attentive behavior was 0.452. Student 2 and Student 5 studied the course very seriously, spent 90% and 89% of their time engaged in attentive behaviors, respectively, and maintained an emotion of interest for 66% and 70% of the time, respectively. Furthermore, Student 2 answered all the questions in the interactive session, while Student 5 answered all the questions correctly. The median integration rating of the 40 participating students was 0.706, and the majority of the students rated the integration of the course in the middle to high range, which means that the content and format of this pre-school hygiene course were excellent and stimulating for the students.
Evaluation of the Activity of Olibanum Oil as an Immune Booster in Rats
Authors: Gharb Lamiaa A. , Ismael May K. , Qaddoori Yasir B. 
Published: October 2024

The applications of herbal medicine have recently acquired growing interest in range of the prophylaxis and treatment of diseases. Olibanum has been used since ancient eras and several reports studied the pharmacological characteristics of boswellic acid, particularly their effect on the inflammatory response, analgesic properties, and anti-arthritic activity mostly in cell lines, but new approaches include animal models to assess these natural derivatives effects taking into consideration of being safer than synthetic preparations. The impact of olibanum oil on several parameters was studied in rats during this study. These included white blood cell (WBC) count, lactate dehydrogenase (LDH), and C reactive protein (CRP), as well as other pro-inflammatory cytokines like tumor necrosis factor alpha (TNF-α) and interleukin 6 (IL-6), and the cytokine interleukin -10 (IL-10) that is anti-inflammatory. Total WBCs in addition to IL-10 levels significantly increased in the oil-treated group in comparison with the control one, while the rats treated with olibanum oil revealed a significant reduced level of LDH, CRP, IL-6 and TNF- α compared with the controls (p < 0.05). These outcomes indicate that olibanum oil treatment are manifested by cytokine changes, it can improve the anti-inflammatory response and down-regulate the pro-inflammatory cytokines. So, the promising impact of olibanum oils as an immunomodulator could be used in alternative therapies.
Aerodynamic Behavior of a Wind Turbine Under Blade Pitching Motion
Authors: Li Chenghao , Pan Tianyu , Li Teng , Zheng Mengzong , Li Qiushi , Dowell Earl H. 
Published: October 2024

It is essential for advanced turbine design and wind-farm control strategy formulation to acquire an improved understanding of the aerodynamic behavior in the rotor plane and the wake downstream of a wind turbine under blade pitching motion, reacting to highly stochastic atmospheric conditions. Using an unsteady Reynolds-averaged Navier–Stokes simulation, the effects of the dynamic variations in blade pitch are investigated on the unsteady aerodynamic behavior of an NREL-5 MW wind turbine. The results show that the wake after a pitching maneuver exhibits a local contraction region, resulting in the leapfrogging phenomenon of tip vortices. The influences of different pitch ranges and pitch rates on the aerodynamic behavior of the wind turbine are studied. The degree of wake contraction depends strongly on the pitch range, whereas an increase in pitch rate is mainly dominated by the shed vorticity, indicating a larger deviation from the quasi-state behavior. In addition, interaction between the shed vorticity and the neighboring tip vortex is observed in the near wake under the condition at a fast pitch rate, which may have an influence on the mutual inductance instability.
Масса тела и концентрация глюкозы в крови крыс разного пола и возраста, перенесших внутриутробный стресс
Authors: А.Ю. Любимова , С.С. Перцов 
Published: October 2024

Цель исследования: изучение половых и возрастных особенностей изменения массы тела и концентрации глюкозы в крови крыс, перенесших внутриутробный стресс. Материалы и методы. Исследование проведено на потомстве (n = 96) крыс Вистар: самцах и самках подсосного (21-й день), инфантильного (30-й день) и ювенильного возраста (60-й день). Беременных самок распределяли на две группы. Контрольных животных содержали в стандартных условиях вивария. Крыс опытной группы с 10-го по 16-й день беременности подвергали стрессу принудительного плавания в холодной воде (10ºC) в течение 5 мин. Массу тела и уровень глюкозы в крови потомства измеряли на 21-е, 30-е и 60-е сутки жизни. Результаты. Внутриутробный стресс приводил к снижению массы тела у самок, но не у самцов крыс на 21-й день жизни по сравнению с контролем. К 60-му дню жизни масса тела самцов превышала соответствующий показатель у самок. В отличие от интактных, внутриутробно стрессированные самки к 60-му дню жизни характеризовались уменьшением содержания глюкозы в крови по сравнению с таковым в предыдущие периоды онтогенеза. Заключение. Внутриутробный стресс оказывает влияние на изученные физиологические показатели у самок, но не у самцов животных. Это проявляется в низкой массе тела на ранней стадии постнатального онтогенеза и возрастном уменьшении концентрации глюкозы крови в более позднем периоде развития.
The aim: to investigate sex and age-specific changes in body weight and blood glucose concentration in rats undergoing intrauterine stress. Material and methods. The study was conducted on the offspring (n=96) of Wistar rats: males and females of suckling (day 21), infantile (day 30) and juvenile age (day 60). Pregnant females were allocated into two groups. Control animals were kept under standard vivarium conditions. Rats of the experimental group were subjected to the stress of forced swimming in cold water (10ºC) for 5 min from the 10th to the 16th day of gestation. Body weight and blood glucose levels of the offspring were measured on the 21st, 30th and 60th days of life. Results. Intrauterine stress led to a decrease in body weight in female, but not in male rats on the 21st day of life compared to the control. By day 60 of life, the body weight of males exceeded the corresponding index in females. In contrast to intact, intrauterine stressed females by the 60th day of life were characterized by a decrease in blood glucose content compared to that in the previous periods of ontogenesis. Conclusion. Intrauterine stress affects the studied physiological parameters in female, but not in male animals. This is manifested in low body weight at the early stage of postnatal ontogenesis and age-related decrease in blood glucose concentration in the later period of development.
Кисспептин 10 уменьшает проявление половой дисфункции у крыс в моделях острого психогенного стресса
Authors: А.П. Перова , В.А. Гольц , А.А. Лебедев , Е.Р. Бычков , Г.В. Безнин , Г.П. Косякова , П.Д. Шабанов 
Published: October 2024

Цель исследования заключалась в определении влияния кисспептина 10 на уровень гормонов в крови крыс после стрессорного воздействия. Материалы и методы. Были созданы модели рестрикционного и витального стрессов для самцов крыс линии Вистар. Измерялась концентрация гормонов плазмы крови (лютеинизирующего гормона, тестостерона, кортикостерона) после различных типов стресса методом конкурентного иммуноферментного анализа (ИФА). Результаты. Введение кисспептина 10 повышает концентрацию лютеинизирующего гормона после разных видов стресса, как при интраназальном, так и при внутрибрюшинном введении, тогда как концентрация тестостерона повышается лишь при рестрикционном стрессе и системном введении препарата. Концентрация кортикостерона значительно снижается при витальном стрессе и системном введении препарата. Заключение. Данные исследования указывают на то, что кисспептин 10 действует преимущественно центрально на структуры мозга, участвующие в реализации половой функции, независимым от регуляции половых стероидов механизмом, а также имеет стресс-лимитирующий эффект в модели психологического стресса. Изменение данных показателей уменьшает проявление компонентов полового поведения крыс.
The aim of the study was to determine the biochemical indicators of hormone levels in the plasma of male rats after stress before and after the administration of kisspeptin 10. Materials and Methods: Models of restrictive and vital stress were created for male rats of the Wistar line. The concentration of plasma hormones (luteinizing hormone, testosterone and corticosterone) was measured after different types of stress using the competitive ELISA. Results: The administration of kisspeptin 10 increases the concentration of luteinizing hormone after different types of stress, both in intranasal and intraperitoneal administration, whereas the concentration of testosterone increases only in restrictive stress and systemic administration of the drug. The concentration of corticosterone significantly decreases in vital stress and systemic administration of the drug. Conclusion: The results of the study suggest that kisspeptin-10 acts primarily centrally on brain structures involved in the realization of sexual function, independent of the regulation of sex steroids mechanism, and also has a stress-limiting effect in the model of psychological stress. The change in these indicators reduces the manifestation of sexual components of behavior in rats.
Dekonstruksi Pancaik Kumun Debai dalam Fotografi Ekspresi
Authors: Siregar Ahmad lisin Ajimuhajir , Masta Putri Khairina , Herawati Dira 
Published: October 2024

Kumun Debai merupakan salah satu Kecamatan yang berada di kota Sungai Penuh, Provinsi Jambi. Kecamatan Kumun Debai memiliki adat istiadat yang sangat kental sampai saat ini. kegiatan adat bahkan ritual adat masih dipercayai dan dilaksanakan oleh masyarakat. Satu diantaranya ialah ritual pancaik yang dilakukan sebagai media penyembuhan untuk mengambil darah kotor seseorang yang dipercaya tujuannya untuk kesehatan dan penolak bala petaka dikemudian hari. Pancaik hanya dapat dilakukan oleh seseorang yang memiliki ilmu magis saja, yang dimana ilmu tersebut diperoleh oleh keturunan sebelumnya dan menggunakan sesajen sebagai pendamping dari pelaksanaan kegiatan pancaik. Pengkarya menggunakan fotografi ekspresi dalam penciptaan karya ini karena ingin memperlihatkan pancaik dari sudut pandang yang menarik dan memiliki estetika tersendiri melalui proses digital imaging menggunakan teknik kolase fotografi. Untuk memperkuat hal tersebut pengkarya memanfaatkan landasan teori dekonstruksi, semiotika , dan fotografi kolase pada karya fotografi, serta memaksimalkan aspek-aspek visual pada karya fotografi. Pengkarya menggunakan metode penciptaan seperti melakukakan tahapan observasi, wawancara, studi literatur, dan eksperimen untuk mendapatkan karya foto yang mempunyai daya tarik dan keindahan. Hasil dari penciptaan karya fotografi ekspresi dengan judul Dekonstruksi Pancaik Kumun Debai dalam Fotografi Ekspresi ini yaitu memperlihatkan pancaik dari segi adat istiadat yang kemudian dihadirkan melalui karya seni fotografi sebagai media pengenalan pengambilan darah kotor yang dilakukan secara tradisional atau yang disebut pancaik oleh masyarakat Kumun Debai yang kemudian disajikan dalam bentuk pameran karya fotografi.