bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the innovation of youth network media literacy education in the context of Internet + education
Authors: Xie Yan
Published: April 2023

This paper first discusses the background and theoretical basis of the youth network media literacy education under the Internet + education, and believes that the network media literacy framework under the Internet + education has an efficient school system, good school management, high-quality teachers, and perseverant students, contribute to educational success. Therefore, in order to improve the education of young people’s network media literacy, it needs to be constructed in many aspects. First, the background, theoretical basis and era background of the youth network media literacy framework are introduced in detail. Then, according to the theoretical basis of literacy, a complete set of online media literacy education framework for teenagers in the context of Internet + education is designed, including the core literacy layer, the information literacy framework, the Steam literacy layer and the MOOC literacy framework. Finally, after the questionnaire results and analysis, the framework proposed in this paper can improve the literacy ability of young people. The experimental results also show that not only the network media literacy ability is improved, but also the students’ horizons and vision are obviously broadened.
Harmonic current variation characteristics of shunt capacitors based on full-phase FFT algorithm
Authors: Liu Ke , Song Rui , Liu Yutong , Han Jun , Zhang Wenqian
Published: April 2023

Shunt capacitors can effectively improve the system voltage level and increase the economy of grid operation. However, under the effect of harmonics, the capacitor bank is prone to harmonic resonance, which causes overcurrent and overvoltage and threatens the safe operation of the capacitor itself and the system. To avoid damage to capacitors due to harmonics, the harmonic current variation characteristics of shunt capacitors are investigated. Based on the established mathematical model of shunt capacitors, the characteristics of harmonic current amplification under different harmonic states are analyzed. Based on the amplification characteristics and sampling law, the harmonic current signal is acquired using the full-phase fast Fourier transform algorithm. The full-phase fast Fourier transform algorithm is improved by the phase difference algorithm to complete harmonic current detection. The experiments show that the dynamic response time is 1.6 cycles with minimum steady-state error before and after the load current jump. When the capacitor changes from unit power factor to 0.89 inductance, the harmonic current at point A changes from 17.59A to 21.34A and 11.65 to 22.38A, respectively. The deviation values are 3.75A and 10.73A, respectively. It shows that the algorithm has good tracking ability for load currents and can effectively detect the harmonic currents of shunt capacitors and obtain accurate variation characteristics. It can ensure that the harmonic content of the shunt capacitor in the distribution system is relatively reasonable, and realize the safe, stable and economic operation of the equipment.
Urban Public Epidemic Prevention and Control Model Based on Nonlinear Differential Equations
Authors: Xue Han , Jia Jing , Jiang Shan
Published: April 2023

This paper proposes a new epidemiological mathematical model based on the dynamics of urban public epidemic prevention and control model. Then, the nonlinear differential equation of epidemic propagation dynamics is deduced. Secondly, this paper uses the exponential equation to fit the curve, takes three days as the optimal window time, and estimates the turning point of the urban public epidemic. Again, this paper establishes a dynamic model of dynamic experience transfer. Finally, this paper uses the COVID19 example to verify the public epidemic prevention and control problems described in the text. Experimental simulations show that the algorithm can better grasp important epidemiological dynamics.
Secure transmission of wireless energy-carrying communication systems for the Internet of Things
Authors: Zhou Gang , Peng Mingyang , Li Yan , Wang Jian , Lian Chen
Published: April 2023

The Internet of Things, as an important part of important data aggregation, forwarding and control, is often subject to risks such as eavesdropping or data loss due to the huge amount of received data. Based on this, this paper introduces the GA-LM-BP algorithm, BP network, and LM-BP algorithm deep learning to optimize the data received by the Internet of Things, and selects the most suitable communication mode optimization algorithm. The experimental results show that the accuracy error of GA-LM-BP, BP and LM-BP algorithms shows a downward trend, from 0.029 to 0.011; the training time is reduced by 208 mins, and the training speed is increased to 74%, indicating that GA-LM-BP deep learning Excellent performance in the security and confidentiality of data transmission in the Internet of Things. In addition, we further analyzed GA-LM-BP from COP, SOP and STP to verify its reliability and safety.
Research on the application of traditional culture in landscape design
Authors: Liu Zhihong
Published: April 2023

In order to make the landscape design concept break through the traditional barriers and achieve diversification and nationalized development, this paper proposes a landscape design model that integrates traditional culture to effectively integrate traditional culture and landscape design. First use active adaptation technology to test the algorithm convergence ability, and then sample the basic situation of landscape design, reconstruct the collected information, construct the characteristic information flow, and use the linear regression analysis model and the Internet of Things technology to construct the distribution The structure model is used to analyze its characteristics. Then, by introducing the nonlinear dynamic inertia weight coefficient, according to the traditional particle swarm algorithm, the optimized particle swarm algorithm is proposed, and its robustness is tested, the error is analyzed, and the error values are all less than 0.1.Finally, the model in this paper is experimentally tested in a quantitative way. The results show that the traditional culture and landscape design fusion model proposed in this paper has a reasonable error value and has practical application significance.
Sports Science Movement model based on fractional differential equation
Authors: Yang Lifen , Wang Zhijun
Published: April 2023

In order to construct the morphological model of Chinese excellent calisthenics athletes, overcome the shortage of evaluation of single and multiple indexes in the study of the morphology of calisthenics athletes in the past, the author proposes a sports science model research based on fractional differential equation. Sports biomechanics, as an independent discipline within sports science, the general task of the study of motion biomechanics is to evaluate the effect of force on perfectly achieving a given goal in the process of interaction between biological system and external environment, the author takes the outstanding male calisthenics athletes of Chinese college students as the research object, and adopts the method of literature and mathematical statistics, the morphological indexes were analyzed and studied, and the morphological model was established, through factor analysis, the morphology of Chinese outstanding male college student aerobics athletes is divided into four factors: Body fullness factor, limb scale factor, body width factor, body circumference factor, the weights of the four factors are 0.36, 0.31, 0.17 and 0.15, respectively. Chinese outstanding male college student aerobics athletes have the morphological characteristics of medium height and well-developed upper arm and lower limb muscles.
Research on secure Internet of things gateway technology based on multi-communication methods
Authors: Fan Ying , Chen Yang , Shi Zhenyu , Peng Mingyang , Zhang Ziying
Published: April 2023

The Internet of Things, as an important part of important data aggregation, forwarding and control, often leads to objectivity errors due to the huge and complex received data. Based on this, this paper introduces GRU, LSTM, SRU deep learning to optimize the data received by the Internet of Things, and selects the most suitable communication mode optimization algorithm. The experimental results show that the accuracy errors of GRU, LSTM, and SRU algorithms show a downward trend, from 0.024 to 0.010%; the training time is reduced by 254 minutes, and the training speed is increased to 86%, indicating the excellent performance of SRU deep learning in IoT gateways.
Relationship Between Physical Activity Sedentary Behavior and Body Mass Index in Children and Adolescents Based on FIT Model
Authors: Liang Dong , Lu Yanwen , Sun Zhang , Zhang Jun , Han Liu
Published: April 2023

This study conducted a questionnaire survey on the physical condition of high school students based on FIT. The correlation between sedentary behavior, exercise level and physical fitness was studied. In this paper, the fuzzy C-average clustering method of the BP neural network is used to make statistics and classification of students’ physical condition. This paper collates the biological quality data of college students. Then this paper makes a comprehensive classification, classification and quantitative assessment of the data. The study found that college students’ sedentary habits varied from individual and family backgrounds. Family factors influence students’ physical exercise. Physical exercise was positively correlated with sedentary behavior and body mass index in adolescents. The accuracy of clustering combined with the BP neural network can reach 94%.
Study of frictional wear properties of materials for mechanical seals
Authors: Yang Guijuan , Zhang Huifang , Zhang Lirong
Published: April 2023

Wear of seal materials is a widespread problem in the aerospace, petrochemical, and electric power fields, leading not only to low efficiency of mechanical equipment, but also to increased energy consumption and reduced safety performance. Therefore, this paper establishes the SCA-wear model based on the tensile constraint algorithm to calculate and analyze the friction and wear performance of mechanical seal materials. The friction coefficients of different loads at 200°C and 10 min after the test time stabilize, and fluctuate in the range of 0.35 at 30N, 0.26 at 70N, and 0.48 at 90N. The frictional wear of the C/C composite mechanical seal material is at least 15.6%. The reason is that it is composed entirely of carbon. It has many advantages of carbon and graphite materials. Therefore, the frictional wear of the C/C composite seal material is low.
Strategies for improving Chinese language proficiency based on artificial intelligence technology
Authors: Sun Yuanyuan
Published: April 2023

In recent years, the development of artificial intelligence technology and theory has been rapid, and the application in language science has been gradually comprehensive and diversified, especially the accuracy rate of artificial intelligence for Chinese language is up to 90%. In the era of artificial intelligence, the effect of different structures and parameters of arithmetic models on Chinese language recognition varies greatly. Language science is an important research area for realizing machine-human communication, and accurate comprehension of the meaning of linguistic expressions is the key to realize communication. In this paper, we construct a speech system that is different from the traditional stable time series for the irreplaceable characteristics of artificial intelligence technology to improve Chinese language ability. A dynamic Bayesian network (DBN) is used for modeling and analysis, and a DBN construction method is investigated to import a hidden Markov model in a speech recognition system to reveal the interactions between nodes within multiple time slices. The accuracy of dynamic Bayesian networks in Chinese dialect inference algorithms is demonstrated using Matlab simulations to characterize the reliability of speech features using a speech spectrogram. It proves that artificial intelligence technology and Chinese language science are complementary and mutually reinforcing, showing a good and rapid development trend.
Research on the application of marketing strategy of national fitness exercise and dance events in the construction of sports culture based on big data technology
Authors: Chen Bo
Published: April 2023

With the rapid development of big data Internet technology in recent years, the national fitness exercise and dance competition have flourished under the strategic background of national fitness, and the scale of the event, as well as the number of participants, has grown rapidly, and the country has begun to make reasonable adjustments to the construction of sports culture and has attached importance to the reform and innovation of the work of sports culture construction. This paper uses the literature method, logical analysis method, and other research methods to analyze the position of the national fitness exercise and dance through SWOT, and formulate the marketing strategy of the national fitness exercise and dance event, to provide some theoretical reference basis for the relevant event organizers. With the marketing strategy of national fitness exercise and dance events as the theoretical basis, the hierarchical structure of the big data platform of sports culture construction system and the logical structure of the sports data warehouse are analyzed and established through the support of big data Internet technology, and finally, the data model of sports culture construction platform based on big data Internet technology is constructed. The marketing strategy of national fitness exercise and dance events is a brand new marketing model built on big data technology and modern sports marketing theory. With the development of big data Internet technology, national fitness exercise and dance event marketing will certainly bring a positive impact on the audience and promotion channels of fitness exercise events. The scope of participation expands year by year, the number of participants expands year by year, the number of participants rises year by year, etc., thus promoting the healthy and rapid development of national fitness exercise and dance event marketing and sports culture construction plays a positive role.
The construction of a practical platform for party building and ideological and political education based on information fusion
Authors: Zhang Bin , Li Yuan , Yu Yuxue
Published: April 2023

Party building and ideological and political education have received much attention in recent years, and the construction of its work practice platform is particularly important. In order to improve the level of party building and ideological and political education in colleges and universities, In this paper is based on the information fusion technique to fuse relevant factors after data, feature, and decision levels. Using sampling calculation, the percentage of relevant factors was calculated as 37%, 38%, and 25%, and the Kalman filter algorithm was used to test the information data. The two factors that accounted for more were selected as the platform construction indexes, and the information was fused with the maximum likelihood estimation and D-S algorithm to build the party construction and ideological and political education work practice platform. It is evident that the practice platform based on information fusion technology can promote the development of ideological and political education.
A multi-channel convolutional neural network based on attention mechanism fusion for facial expression recognition
Authors: Zhu Muqing , Wen Mi
Published: April 2023

Facial expressions can reflect people’s inner emotions to a certain extent, and studying facial expressions can help psychologists capture expression information in time and understand patients’ psychological changes quickly. In this paper, we establish a multi-channel convolutional neural network face expression recognition model based on the fusion of the attention mechanism. With the help of the attention mechanism and multi-channel convolutional neural network, we input expression images and perform average pooling and maximum pooling, output the features with high recognition after pooling, and identify the features with high recognition in expression images throughout the process. And with the help of multi-scale feature fusion, we improve the detection of subtle changes, such as the corners of the mouth and the eyes of the expression image target. The loss function is used to calculate the loss rate of facial expression images, which leads to the correct rate of facial expression recognition by a multi-channel convolutional neural network based on the fusion of attention mechanisms. It is demonstrated that the highest recognition correct rate of the multi-channel convolutional neural network faces expression recognition model with attention mechanism fusion is 93.56% on the FER2013 dataset, which is higher than that of the MHBP model by 23.2%. The highest correct recognition rate on the RAF-DB dataset is 91.34%, which is higher than the SR-VGG19 model by 19.39%. This shows that the multi-channel convolutional neural network face expression recognition based on the fusion of attention mechanisms improves the correct rate of facial expression recognition, which is beneficial to the research and development of psychology.
Exploring the development of cultural and creative tourism under the perspective of ecological theory of tourism destination management
Authors: Sun Sheng , Shu Ping
Published: April 2023

Because of the current problems of cultural and creative tourism in tourism destination management under the cultural theory perspective, this paper aims to explore the new development direction of cultural and creative tourism. This paper uses the gray-scale correlation method model to construct a correlation degree model, analyze the factors tourists consider in choosing tourist destinations, determine the weights of each influencing factor, and extract the main influencing factors. On this basis, combined with a questionnaire survey method, we analyze the market demand for cultural and creative tourism, tourists’ satisfaction, and the existing problems of the cultural and creative tourism market and put forward suggestions for the problems. In terms of market demand, the highest percentage of tourists’ motivation for tourism is to experience different cultures 60.55%, followed by relaxation 57.35% and appreciation of scenery 55.4%, which shows that the cultural tourism market has great potential; however, there are still many problems in the current cultural tourism, the most prominent being excessive commercialization and loss of cultural authenticity, which accounts for 75%, followed by high ticket prices, lack of creativity in products, however, the service level needs to be improved to 40%, indicating that all these problems need to be paid attention to. Cultural and creative tourism is a form of tourism preferred by tourists, and many problems still need to be further explored.
Reference: An algorithm for recognizing the main melody of orchestral music based on artificial intelligence of music melody contour
Authors: Han Weiwei
Published: April 2023

In order to improve the recognition accuracy of symphonic music contour, this paper constructs an intelligent music main melody recognition system based on artificial intelligence technology to make melody recognition with certain search adaptation capabilities. Based on the traditional melody recognition system, the fundamental tone sequence of symphony fragments is obtained by using the fundamental tone extraction and short-time autocorrelation function in the melody contour feature extraction algorithm, which is transformed into the melody contour sequence after regularization and merging to determine the similarity of the music melody signal itself. The wavelet transform method and radial basis function algorithm are used to improve the defects of monophonic discrimination in the traditional recognition model so that the artificial intelligence technique can effectively fit with the symphony recognition model of music melody contour. The experiments show that: The average recognition accuracy of the AI-based music melody recognition system is 90.5%, which is significantly better than 69.5% of Sound Hunter software and 76.5% of Shazam software. For the five monophonic chords, the system’s recognition accuracy is as high as 98.3%, especially in the field of hanging chords with significant recognition effects. It can be seen that the artificial intelligence-based music main melody recognition system provides a scientific and authoritative recognition means for the dissemination and development of symphonic music and is conducive to improving the recognition accuracy of symphonic melodies.
The Construction of Judgment Model for Cultivating Intelligent Accounting Professionals in Universities Based on Logarithmic Periodic Power Law Model
Authors: Ding Yougang , Qin Guosheng , Yang Cheng
Published: April 2023

The talent training evaluation model not only helps to evaluate the talent itself but also provides feedback on the content of the talent training evaluation. Therefore, this paper establishes an efficient and intelligent talent training evaluation model for accounting professionals based on the logarithmic cycle power law model. The main content of talent training evaluation is set as general knowledge skills, professional thinking, and values. The log-periodic power-law model and the least squares method are combined to reduce the dimensionality of the nonlinear parameters of the judging content and to quantify the judging of intelligent accounting professional talent training in universities, which is convenient for the calculation of linear functions. With the help of log-periodic power-law oscillation to prove that talent training is changing in a cyclical pattern, the feasibility of its prediction is demonstrated. The study shows that the talent cultivation judgment model constructed based on the log-periodic power-law model is very accurate, especially in talent cultivation value judgment prediction. The model achieves zero error in the prediction of some data, and the maximum error between prediction and actual is only 6%. In the judgment of general knowledge and skill cultivation, the maximum error between the prediction and the actual score of the model is no more than 2 points. This shows that the talent development evaluation model based on the log-periodic power law model can make accurate predictions of talent development evaluation.
The train of thought and design of university talents training based on ADDIE model from the perspective of ideological and political education
Authors: Shi Zhengjie
Published: April 2023

Ideological and political education in colleges and universities is faced with opportunities and challenges due to the social environment of new media technology’s rapid development. The carrier, mode, content, and means of education have all changed and gradually become innovative; against the backdrop of mixed network information and various forms of education, it is novel to conduct ideological and political education on the basis of network normality. The author examines the issues with the current ideological and political education in colleges and universities. According to the author, the ideological and political education in colleges and universities based on the ADDIE model has the significance of developing new approaches, breaking down barriers of time and space, and fostering knowledge construction.
Study on the factors influencing the evolution mechanism of cobalt trade network from the perspective of national competition
Authors: Yang Yunxia , Guo Yaoqi
Published: April 2023

In order to enhance national competitiveness while ensuring the rational operation of world trade activities, the highly internationalized development of cobalt trade is promoted. This paper analyzes the current situation of world cobalt trade through the collection and collation of trade network data. That is, each node on the network represents an activity subject, and the relationship between nodes and nodes exists in terms of commodity demand and supply, reflecting the network Spatio-temporal divergence characteristics of global commodity trade. By measuring the topological network indicators such as density, point degree, intermediary centrality, and proximity to the center, the influence of a country in the trade network and whether it occupies the central position can be more clearly defined, effectively capturing the strength of the relationship between the nodes in the world trade network and facilitating the understanding of the evolution mechanism of the world trade network, and using the QAP regression model to calculate the relationship and trade volume between two countries that affect the trade connection. The results of the study show that China’s cobalt production in 2021 is 2,105 tons, down 8.5% year-on-year. With the passage of time, the overall scale of the international trade network of bauxite is growing, the number of countries involved in the trade is increasing, the trade volume is growing, and the trade relationship between countries is gradually increasing, which reflects the good development trend of global bauxite trade.
Construction of a mathematical modeling teaching quality assessment system for universities based on Eviews model
Authors: Lv Xiyuan , Yi Qiang
Published: April 2023

Quality assessment of university education and teaching is an essential and important part of teaching and learning activities. Over the years, a large amount of data has been accumulated in teaching and management, but the potential value of these data has not been fully utilized. How to use a large amount of data scientifically, automatically, and more effectively for rational analysis and guidance of current teachers’ teaching work has become a key issue in testing the effectiveness of teaching quality assessment, and an in-depth study is urgently needed. In this paper, we use the Eviews model, regression analysis algorithm, Apriori association rule algorithm, and other techniques. It conducts research on the assessment of teaching quality in Chinese universities. Finally, after completing the construction of the system, the main modules in the system, system management, resource management, quality assessment, and assessment query module, focused on testing. A total of 160 test cases were designed, of which 157 test results met the requirements of the system, and 3 results did not meet the requirements, with a success rate of more than 98%. The results show that the system has no major defects, runs normally, has stable performance, and meets the system requirements for teaching quality assessment in universities.
Student management model of college student associations based on ant colony Algorithm
Authors: Tian Zhu , Li Weixuan , Nie Yuanyuan
Published: April 2023

In order to improve the management efficiency of college students' associations, the author combined with ant colony algorithm to study the student management model of college student associations. Firstly, based on the study of the basic idea, principle, process and application scope of ant colony algorithm under the framework of swarm intelligence, several improved versions of the well-known ant colony algorithm are studied in depth, it provides a basis and reference for the research work of core theory and practical engineering application, secondly, the author will introduce the theoretical framework of the diagnosis and evaluation of college student associations. Through extensive literature review, documents, conducted a questionnaire survey in the student associations of colleges and universities in Dalian, and collected a large number of detailed first-hand materials. The model obtained by using ant colony algorithm plays an important role in management.
The artistic aesthetic and cultural value orientation of 3D printing
Authors: Yang Yi
Published: April 2023

For the current artwork, 3D printing design simulation technology has the disadvantage of low clarity and poor effect, which cannot effectively describe the designer's work. To this end, this paper investigates the artistic aesthetic and cultural value orientation of 3D printing. First, the 3D digitization work of the oil painting was carried out by using the multi-baseline photogrammetry method in photogrammetry technology. Then the non-measurement digital camera was checked for internal orientation elements, the control panel was photographed, and the internal orientation elements of the camera were measured using the spatial backward rendezvous solution method. Next, the digital image acquisition of the oil painting is carried out, and finally, the photos are sequentially introduced into the Lens photo multi-baseline photogrammetry system to generate the color point cloud model of the oil painting after performing the steps of homonymous point selection null-three matching and beam leveling. In order to enhance the visualization effect, the color point cloud model was used to generate a digital model of the TIN irregular triangular network to realize the 3D digitization of oil painting art. The results of the study show that the thickness of each layer obtained by UV inkjet printing of five types of inks: yellow, green, blue, black, and white is about 11.19 μm, 12.71 μm, 7.91 μm, 9.47 μm, and 13.12 μm, respectively. 3D printing technology for positive impact on art design needs to be recognized and respected, and the better development of related technologies can make the advantages and advancement of the technology itself more fully embodied.
SCP model based on the new energy vehicle collaborative detection configuration method research
Authors: Zhou Mingyang , Qiu Chengcheng
Published: April 2023

To address the problem of inaccurate positioning of new energy vehicles during cooperative detection, this paper investigates the positioning accuracy of different combinations of radar and infrared sensors. In order to meet the control requirements of the vehicle co-detection formation, a distributed control method considering the vehicle dynamics characteristics is adopted for this purpose. And considering the cost of sensors, the optimal parameters are calculated, and an optimal aircraft co-detection configuration design scheme based on the SCP model (structure-behavior-performance model) is proposed. At the working level of multi-craft cooperative detection guidance, a two-layer cooperative guidance structure is designed based on the basic framework. Research on vehicle configuration design, vehicle data transmission, processing technology, and cooperative detection and guidance is carried out. The basic principles of the particle swarm optimization algorithm and the algorithmic flow of the discrete particle swarm algorithm are applied to calculate the assignment of targets by the particle swarm optimization algorithm. The GDOP values are analyzed according to the simulation results, and it can be concluded that: the change rate of 2~5 sensors accuracy can reach 71.1%, 71.6%, and 71.5%, respectively, when the infrared sensor spacing is 1km~3km. 5~10 sensors accuracy change rate is only 53.3%, 52.2%, and 49.7%, respectively, which shows that the value is improved by 20%, indicating that the collaborative sensing accuracy of the aircraft has been effectively improved, which is of great help to the collaborative detection of new energy vehicles based on SCP model.
Innovative reform strategy of artistic practice of university folk dance education based on information fusion technology
Authors: Zhou Miao
Published: April 2023

With the development of history, some folk dances are annihilated and lost in the inheritance. In order to protect and inherit national intangible cultural heritage and promote the construction of advanced socialist culture, this paper uses information fusion technology, combines national aesthetic personality, and refers to multi-factor theory, construction theory, and distillation theory to design and reform the art practice model of folk dance education. The data of dancers’ skeletal joint points are collected by using multiple Kinect sensors, and the Kalman filter algorithm is selected to establish the human skeletal motion model and fuse the data information of each joint point. Taking the hand_right and elbow_right joints as examples, it was found that the mean value of the error between the testers’ joint trajectory and the template movement was reduced from 10mm to 4mm, and the mean value of the error between the joint angle and the template movement was reduced from 90° to 35°. Comparing the dance movement training effects and scores of the experimental group and the control group, it was found that the experimental group kicked the front and side legs an average of 70 times/minute, the middle jump height was improved by 10cm, and the average score was 3.33 points higher. This indicates that the integration of information fusion technology in the art practice of dance education can realize the practical innovation of college folk dance education and improve the comprehensive level of folk dance.
New ideas of precision teaching development based on the background of big data
Authors: Zhou Juju
Published: April 2023

Based on the accurate application of precision teaching can enable students to conduct efficient learning and achieve the educational goal of all-round development. In this paper, a big data precision teaching model is constructed to stage the teaching process, set the data corresponding to each stage as random variables, and apply the AIC criterion to reflect the complexity of the model. Then the evaluation model of the precision teaching algorithm is constructed by calculating the test set error based on cross-validation to find the precision teaching solution under random variables. In the last stage, it is known from the observation data of the students that the optimal decision function is derived from the variable selection, according to which the targeted development ideas of precision teaching are obtained. The experimental results showed that the practice subjects were divided into control and experimental groups, follow-up tests were conducted, and the percentage of failures in the control group was 4%, while the percentage of failures in the experimental group was 9%. The scores of the experimental class were higher when analyzed by the comprehensive attainment degree. It shows that the development and application of the platform under precision teaching can not only make up for some problems and shortcomings of the traditional classroom but also enable students to get better learning results in this precision teaching process.
The Temperature Field Effect on Dynamic Stability Response of Three-layered Annular Plates for Different Ratios of Imperfection
Authors: Pawlus Dorota
Published: April 2023

The paper presents the temperature field effect on the dynamic stability problem of plates with imperfection. The main objective is to conduct numerical investigations which show the relations between the imperfection ratio and plate dynamic response in a thermal environment. The plate is composed of three layers: thin facings and a thicker core. The plate can be loaded mechanically and thermally or only thermally. The facings are mechanically compressed with the forces acting in a plane. The temperature field model is defined by the temperature difference, which occurs between the plate edges. Two plate models are examined as follows: built using the approximation methods – orthogonalization and finite differences – and composed of finite elements. The analytical and numerical solution procedure is the main one, which is the proposal to perform the problem analysis. The plate reaction is described by the obtained values of the critical temperature differences for plates loaded only thermally and by the critical mechanical loads and the corresponding temperature differences for plates loaded mechanically and subjected to the uncoupled temperature field. The effect of the plate imperfection ratio under time-dependent loads is shown by numerous observations and results, which are shown graphically. The importance of the imperfection ratio on the plate's dynamic stability response in complex loading conditions is studied.
Diet composition of White-tailed Eagles inhabiting two adjacent inland lakes in Northern Greece
Authors: Bounas Anastasios , Karta Evangelia , Navarrete Elisabeth , Sidiropoulos Lavrentis , Alivizatos Haralambos
Published: April 2023

In territorial raptors, breeding performance and foraging behaviour are affected by territory characteristics as the abundance and availability of different prey species varies between habitats. In this study, we examined the diet of two White-tailed Eagle pairs, occupying neighbouring territories in two adjacent inland lakes in Northern Greece. We assess the diet composition of the species in the southernmost part of its European range and evaluate any intraspecific differences in the diet that may reflect resource and/or niche partitioning between territories. We found that birds and specifically waterbirds comprise the largest and quantitatively most important part of the White-tailed Eagle´s diet, with fish being the second most important prey group that was only found in the nest remains from one territory. There was high diet overlap between the two territories and when considering only avian prey our results suggest that the species predates on heavier (and the most common) waterbird species. A main factor that could be driving differences in the abundance and availability of different prey species between territories could be lake physiography, as our results point to a segregation and a subsequent resource partitioning between territories, with each pair utilizing an adjacent lake and its associated habitats. Competition and territoriality therefore seem to be important intraspecific interactions that along with prey availability could promote changes in territory size and ultimately affect individual fitness.
ONLINE EDUCATION: CHALLENGES AND OPPORTUNITIES DURING THE COVID-19 PANDEMIC. STUDY ON PUBLIC ADMINISTRATION STUDENTS` AND TEACHERS` PERCEPTION
Authors: MINA-RAIU Laura , OPREA Carmen Valentina
Published: April 2023

COVID-19 had a tremendous impact on education and the well-being of both students and teachers. The paper analyses the undergraduate students’ and academics’ perception of the online education services provided by the Faculty of Administration and Public Management (FAPM) of the Bucharest University of Economic Studies (BUES). Individual interviews and an online survey were carried out in order to reflect both the pros and cons of online learning and the determinants that significantly impact the satisfaction of the main stakeholders of the education services. Research findings reveal that despite the great challenges related to online learning, many opportunities have emerged to advance the quality of education. Thus, students and teachers agree on the fact that traditional education and online education provide both advantages and disadvantages, suggesting that, in the future, a hybrid teaching-learning system might help bring together the strengths of both approaches.
Analisis Semiotika Fotografi "Human Interest" Karya Suhendro Winarso
Authors: Rosdiana Lydia Sri , Sari Maya Purnama
Published: April 2023

Fotografi merupakan salah satu bidang yang dapat dianalisis dengan pendekatansemiotika. Dari tema fotografi human interest yang diangkat oleh Suhendro Winarso,ia selalu menyampaikan pesannya lewat karya foto tentang cerita-cerita kehidupansehari-hari masyarakat Blitar. Penelitian ini menggunakan metode penelitian deskritifinterpretif dan penerapan teori semiotika dalam analisis setiap karya ini dilakukansebagai metode untuk kajian terhadap tanda-tanda visual fotografi yang terdapat padafoto human interest misalnya ditentukan berdasarkan pada gambar yang dianggappenting dalam pemaknaan setiap satuan tanda-tanda. Oleh karena itu, dalam setiapkarya yang diabadikan oleh Suhendro Winarso dapat memperlihatkan identitasbangsa Indonesia itu sendiri mulai dari mencerminkan situasi dan kondisikebudayaannya.
Perancangan Ambient Media ILM Bahaya Virus Covid-19 di Ekowisata Mangrove Wonorejo Kota Surabaya
Authors: El Chidtian Aileena Solicitor Costa Rica , Nisa Diana Aqidatun , Dewi Riza Septriani
Published: April 2023

Iklan layanan masyarakat tentang bahaya virus Covid-19 merupakan perancangan desain berdasarkan permasalahan pandemi Covid-19 di Kota Surabaya yang merupakan salah satu kota yang memiliki kasus Covid-19 tertinggi di Jawa Timur. Sebagai upaya pencegahan penyebaran Covid-19, Pemerintah Indonesia mengeluarkan kebijakan-kebijakan sebagai upaya menghentikan laju kenaikan kasus Covid-19. Salah satu kebijakan Pemerintah Indonesia yaitu membuat protokol kesehatan gerakan 5M (Mencuci tangan, Memakai masker, Menjaga jarak, Menghindari kerumunan dan Mengurangi mobilitas), namun masih banyak masyarakat yang tidak mentaati protokol kesehatan tersebut. Penelitian ini bertujuan untuk mendukung kebijakan Pemerintah Indonesia dengan target sasaran masyarakat Kota Surabaya. Metode yang dilakukan yaitu metode penelitian kualitatif. Proses penelitian meliputi pengumpulan data primer dan data sekunder. Data primer terdiri dari observasi, dokumentasi dan wawancara semi-struktur kepada masyarakat Kota Surabaya sedangkan data sekunder menggunakan referensi dan literatur. Hasil dari penelitian ini diharapkan dapat menghasilkan sebuah iklan layanan masyarakat yang dapat menarik perhatian masyarakat, sehingga edukasi tentang bahaya virus Covid-19 dapat dilakukan secara efektif.
Meraih Desain Lokal Berkelanjutan
Authors: Triatmodjo Suastiwi
Published: April 2023

Pada saat ini permasalahan lingkungan hidup menjadi semakin kritis. Banyak upaya yang telah dilakukan namun hasilnya belum memuaskan, justru situasi menjadi kian buruk. Partisipasi banyak pihak masih dibutuhkan khususnya bidang desain. Riset ini menawarkan gagasan desain local berkelanjutan yang dapat ditumbuhkan dengan sinergi antara ekoliterasi dan kearifan local. Diyakini bahwa gagasan ini dapat menghasilkan desain yang ramah lingkungan dan beridentitas local yang kuat, serta mampu mensejahterakan masyarakat. Riset ini bersifat kwalitatif dan focus pada studi pustaka, mendialogkan konsep dan variable yang ditemukan, selanjutnya menyusunya ke dalam konstruk pemikiran. Temuan riset ini mengatakan bahwa gagasan desain local berkelanjutan dapat terwujud bila literasi ekologi dan kearifan local dapat dinternalisasikan dalam mode keterhubungan dengan alam dan lingkungan sekitar dan kemudian dipraktikan secara nyata oleh para penggubah dunia buatan manusia.
Power System Voltage Collapse Mitigation Employing Optimization Based Dynamic Voltage Stability Analysis
Authors: V Bharathi , Atla Chandrasekhar Reddy , M.R.Shivakumar
Published: April 2023

Maintaining voltage stability is an important factor in modern power system study and operation. Supplementing the system with reactive power (VAr) support devices such as FACTS helps to overcome voltage instability issues. Commonly, dynamic optimization based method is employed to study the dynamic Voltage Stability Analysis (VSA) of the system. The existing dynamic optimization approach has dependencies on the availability of specific tools and the FACTS model to perform dynamic VSA.  Besides, the application of the existing method for the voltage collapse phenomenon is not addressed in detail. It is desirable to have a generic dynamic VSA approach that does not have dependencies on specific tools and the FACTS model. This paper proposes a new generic approach to carry-out dynamic VSA with any given DAE tool. A method of emulating the FACTS device’s behaviour for dynamic VAr injection is introduced using an incremental optimization approach. A generic interface is newly developed as a Modifiable Off The Shelf (MOTS) component to couple the DAE solver and optimization solver.  The existing approach is enhanced into a generic dynamic optimization framework by integrating incremental optimization technique and the generic interface. Voltage collapse phenomenon on IEEE-9 bus system is investigated employing the enhanced framework.  Post contingency behaviour of the system illustrates the successful mitigation of voltage collapse issues. Obtained results show the effectiveness of the new generic approach in performing dynamic VSA.
Bicycle mobility: planners' attitudes under the influences of institutional functioning
Authors: Rios Cauê , Silva Cecília
Published: April 2023

Environmental issues and sustainability are inherent parameters of mobility. The environmental emergency has influenced the paradigms of transport to give rise to new sustainable discourses. Changing of signifying patterns suggests transfiguring the discourses of what was in force. Thus, the main objective of this research is to understand the set of institutional characteristics that can be related to motivate the agents to have a more or less favorable attitudinal stages towards the sustainable mobility. To this end, a theoretical contribution on governance, institutional work and sustainable mobility is used to understand the institutional mechanisms focused on mobility planning. The Attitudinal Stages method is at the core of the research on the more or less favorable planners’ cycling attitudes. As a result of the interpolation of the methods, it will be verify whether there is a relationship between certain characteristics of institutional functioning and the planners attitudes.
Interweaving Histories - Itineraries between Switzerland and India (1900–1950)
Authors: Blaser Claire L. , Bornet Philippe , Burger Maya , Schreiner Peter
Published: April 2023

By looking at the itineraries of specific individual Indian and Swiss actors going back and forth between India and Switzerland during the first half of twentieth century, the book explores the history of cultural relations between both countries. The itineraries studied here are those of Frieda Hauswirth, who searched for ways to contribute to the Indian freedom struggle; of Eva Lombard and Elisabeth Petitpierre, who went to India in order to practice medicine and save souls; of Jakob Urner, a missionary who developed an elective affinity for the Lingayat religious literature; of Selvarajan Yesudian, who teamed up with the esotericist Elisabeth Haich, and taught in Switzerland an idiosyncratic conception of yoga; and of Lizelle Reymond who published a widely read book recounting her encounter with the samkhya master Sri Anirvan.
Typification of clay-siliceous deposits of the Berezovskaya formation (on the example of wells of the Kharampurskoye field)
Authors: Klimova E. S. , Chertina K. N. , Alexandrov M. A. , Solovieva A. V. , Arzhilovskaya N. N.
Published: April 2023

Research subject. Clay-siliceous deposits of the Berezovskaya formation of the Cognac-Santon-Campanian age in three wells of the Kharampur deposit.

   Aim. To study the mineral and structural characteristics of the flint matrix for the separation of flint rocks into lithotypes, namely, silicites and flakes per se.

   Methods. X-ray diffraction analysis and scanning electron microscopy.

   Results and conclusions. The main criteria for the separation of flint rocks include the content of the opal-cristoballite-tridimite phase and its structural state, which is quantitatively characterized by the coefficient of structural perfection K (according to the X-ray diffraction) and, at the qualitative level, is confirmed by the difference in its morpholo gical types (according to the scanning electron microscopy). The relationship between the porosity of flint rocks and the sili con matrix microstructure was also established.