bluuebunny/crossref_metadata_2025 huggingface dataset:
The Construction of Teaching Effect Indicator Management System for Wushu Courses in Colleges and Universities Oriented by “Internet+Education”
Authors: Liu Jianguo
Published: January 2024

In this paper, the simpler wavelet transform method is used to remove the Gaussian noise contained in the image, reconstruct the approximation signal and the final processed detail signal, and obtain the estimated value of the noise signal to complete the image preprocessing. In the process of human static feature extraction, due to the structural limitations of the human body shoulder joint activity angle is low. Therefore, the local spherical coordinates are used to represent the joint angle characteristics of the human body in the static posture and, through the completion of the calculation of the distribution function of the action features of the target, to be tested to realize the recognition of the martial arts action. After completing the judgment matrix and consistency test, we finally establish the teaching effect index system for college wushu courses and analyze the teaching of ‘Internet Education’ wushu courses. The results show that the accuracy of the results of the four algorithms test dataset is stably maintained between 0.8 and 0.9, DNN algorithm, CNN algorithm, RNN algorithm, this paper’s algorithm loss average value of 1.34, 1.58, 1.75, 1.23, respectively, the combined accuracy and loss value, this paper’s algorithm compared to DNN algorithm, CNN algorithm, RNN algorithm performs better. Namely, the algorithm in this paper can accomplish action recognition with high accuracy. In the analysis of the teaching effect index evaluation of wushu course, the experts think that the matter dimension wushu course design index weight (0.800) > wushu teaching system (0.200), and wushu lecturers should design the course key points before the class. In this study, through the digital construction of teaching wushu courses in colleges and universities, we can achieve long-term development.
Research on the Path of Civic-Political Construction of Music Appreciation Courses in Public Art Education in Colleges and Universities under the Perspective of the Internet
Authors: Ma Huawei , Zhang Ying
Published: January 2024

In this paper, the association rule algorithm is used to mine all the strong association rules in the public art education music appreciation course, and the course Civics, and the Inter-transaction algorithm is utilized to decompose the mining task into two parts of long and short itemsets according to the time-consuming time, so as to reduce the number of transactional intersection operations. A new pruning strategy has been adopted to effectively limit the number of candidate sets and improve the performance of the algorithm. Finally, based on the model of this paper, we analyzed the relevance of the music appreciation courses in public art education in colleges and universities to Civics and the change in students’ Civics literacy after integrated teaching. The results show that the mean value of students’ moral quality after teaching increased by 3.24 from 18.07±2.08, and the p-value of each index except music literacy is 0.000, which is significantly different. And sup=0.05, conf=0.622, lift=4.499 for Music Art A and Introduction to Basic Marxist Principles A. There is a strong correlation between teaching music and Civic and Political Science courses.
An Introduction to the Innovative Path and Exploration of the Teaching Reform of Ethnic Vocal Music
Authors: Jiang Ke
Published: January 2024

With the continuous development of literature and art, vocal education, as an important part of aesthetic education, has also been developed unprecedentedly. This paper constructs a music emotion recognition model based on deep learning and the Lstm network. The preprocessing of music is accomplished through the methods of pre-emphasis, frame-splitting, and windowing so as to improve the purity of the music signal. Using the Mel frequency cepstrum coefficient and cochlear frequency, the music analog signal is converted into frequency features so as to better distinguish the acoustic features and combined with Word2vec to realize the extraction of music emotion features. By comparing the Lstm music emotion recognition model with other models, the performance of this paper’s model is verified in terms of classification accuracy. To understand the role of its embodiment, the music recognition model is applied to the teaching of ethnic music. The results show that the average fitness of Lstm music recognition is 75%-90% with the increase of the number of evolutions, and the average fitness of Lstm objective function reaches the peak at the number of iterations of 40, with a fitness of 95%. Under the music recognition model, the students’ spectrum is elevated to 0db above the reference line, and the amplitude mostly floats in the interval in (-3, -15), and the teacher can formulate appropriate ethnic vocal music teaching for the students’ spectrum.
Optimization of network flows for rural extension of fruit and vegetable agricultural technologies
Authors: Zhou Qiang
Published: January 2024

This paper focuses on the rural promotion of fruit and vegetable agricultural technology and proposes a network flow optimization model based on linear programming for the diffusion of fruit and vegetable agricultural technology. Based on the Bass model, it describes the process of natural growth of network users and the word-of-mouth effect among them. Fruit and vegetable agricultural technology diffusion in real social networks is fitted and predicted by the social network information dissemination model, and the network flow problem of fruit and vegetable agricultural technology promotion is optimized using linear programming equations. Based on this basis, the algorithm designed in this paper and the effect of rural promotion of fruit and vegetable agricultural technology are analyzed with relevant data. The results show that the coefficient of the variable of the number of promotion times in the behavior of agrotechnology promotion is 0.064, which has a significant positive effect on the evaluation of the rural promotion performance of fruit and vegetable agricultural technology, indicating that increasing the number of agricultural technology training and enriching the content of agricultural technology promotion will help to improve the evaluation of the rural promotion performance of fruit and vegetable agricultural technology by farmers. The network flow optimization model constructed in this paper can enable farmers to master more modern fruit and vegetable agricultural technology to meet the needs of modern production of fruit and vegetable agriculture so as to improve the level of local fruit and vegetable agricultural development.
Corporate Utilization of Bank Credit Financing Advantages under Supply Chain Finance and Industrial Policy Paths
Authors: Zhao Xiaolu
Published: January 2024

Bank credit financing is an effective method to promote the development of enterprises, and this paper discusses the use of enterprises in the credit financing advantage supported by supply chain financial networks and industrial policy in the new era. In the paper, the strategic choice of enterprises using bank credit financing is analyzed, the Nash equilibrium point of the bank and the enterprise is modeled by calculus, and the game evolution model of enterprise use of credit financing advantage is constructed to explore the equilibrium distribution of bank credit financing. On this basis, the regression model of bank credit financing and enterprise reputation is established, and it is combined with relevant data for empirical analysis. The results show that under the initial conditions, there are two evolutionary stable strategies of (0,0,0) and (1,1,1) in the enterprise bank credit financing game system, which verifies the analysis for the stability of equilibrium point under the dual mechanism of supply chain finance and industrial policy. The regression coefficient of bank credit financing of enterprises with greater corporate reputation is 1.26, and when the explanatory variable is the indicator of short-term lending and long-term investment, the coefficient of long-term borrowing ratio is -0.003, with a significance level of 1%, and the increase of long-term borrowing ratio can significantly reduce the behavior of short-term lending and long-term investment of enterprises.
Research on the Integration Mechanism of Cultural Industry and Tourism Industry Based on the Coupling Coordination Degree Model
Authors: Shen Hongtao
Published: January 2024

This research constructs an index system and uses the entropy weight technique to calculate index weights in order to assess the growth level of the culture and tourist industries based on panel data of 31 Chinese provinces and cities from 2012 to 2022. A specific grade of coupling coordination level is provided, and the coupling coordination degree model for cultural and tourist industries is developed. The worldwide autocorrelation of the culture and tourism sector is investigated using the Moran index, and the industry’s overall development level is assessed using the entropy weight approach. A relevant empirical study was conducted to investigate the mechanism that encourages the deep integration of the tourist and cultural industries. The findings indicate that the global comprehensive development level of the national culture and tourism industry has tended to increase annually from 2012 to 2019. From 2012 to 2019, the development level of the tourism industry has almost doubled, while the cultural industry’s comprehensive development level has increased by 68.88%. The overall country’s province and city-specific spatial and temporal evolution traits related to the coupling coordination level are not high, and the global autocorrelation analysis Moran index is greater than 0 and less than 0.3, indicating a strong correlation between the integration of culture and the tourism industry across regions. The level of overall coupling and coordination between the tourism and cultural industries is trending upward, but in order to achieve high-quality, coordinated development and encourage the in-depth integration of these two sectors, more capital investment and policy support are required.
Research on the Innovation of Physical Education and Physical Education Teaching Based on Big Data Analysis
Authors: Sun Mingyi , Gu Zhiyong
Published: January 2024

In this paper, Openpose is used to process the sports teaching video to get the coordinates data of the human body joint point positions in each frame of the video, and Kalman filter data fusion is used to establish the human skeleton model. According to the results of the division of the five major parts of the human body, after establishing the limb vectors of the human body’s torso, left arm, right arm, left leg, and right leg in three-dimensional spatial coordinates, the distances between the joints of the five human body skeletons based on the DTW posture matching algorithm were used to extract the characteristics of the sports error technical movements. From the demand of sports digital teaching, the design and implementation of sports basic movement teaching evaluation system based on the DTW posture matching algorithm, and the research and analysis of sports teaching under the background of big data. The results show that the IoU values of batting action localization in 6 segments of physical education teaching are 85.6%, 91.6%, 77.7%, 75.1%, 87.4% and 77.7%, respectively, and the average reach 82.5%, i.e., it shows that the research on action localization and recognition based on the DTW posture matching algorithm has a good performance. In the assessment of movement standardization in physical education, the maximum moment of stretching angle corresponds to the moment of hitting the ball, and its value reaches 3.79, i.e., it reflects that the evaluation system of physical education basic movement teaching can accurately determine whether the students’ movements are accurate or not, and make timely feedbacks to carry out the corrections of physical education movements. This study has the potential to enhance students’ interest and performance in sports and contribute to the advancement of digital sports teaching.
Research on the Innovation of Business English Teaching Mode in Colleges and Universities under the Background of Artificial Intelligence
Authors: Liu Shengming
Published: January 2024

This paper examines the application of artificial intelligence technology in business English teaching and artificial intelligence in natural language processing and recognition to receive good results. These two technologies are suitable for business English teaching innovation. At this time, the introduction of the concept of ADDIE is the process of integrating artificial intelligence technology into the business English teaching innovation model. The business English teaching model is designed to utilize the conditional random field expansion model to address the label bias limitations of the entropy model. Add the LSTM model to this basis to handle speech recognition and translation tasks to complete the construction of a business English teaching model based on LSTM-CRF. After speech recognition, detect the existence of grammatical errors in the sentence through the multi-task model, deform the LSTM model, and use the deformed Bi-LSTM to construct the multi-task learning model framework. The objective of controlled experiments and empirical analyses is to investigate the students’ willingness to learn AI Business English and their learning effects. The experiment shows that among the seven items of students’ willingness survey, only the mean value of the hedonic motivation variable is 3.93, and the mean value of the remaining six items is above 4. Students’ willingness to learn AI is high. In the comprehensive learning engagement degree, the mean value of the engagement is 1.457, and the highest value reaches 1.83278, and the students have a high degree of engagement in AI English learning.
Quality development of vocational education in the context of big data
Authors: Xuan Hui
Published: January 2024

Taking vocational education as an entry point, this paper utilizes factor analysis to deal with the problem of multicollinearity of vocational education indicators so that the synthesized factors are no longer correlated and lay a good foundation for vocational education cluster analysis. The distance measure and similarity coefficient describe the relationship between vocational education indicators. To increase computational efficiency and handle large and multidimensional data sets more effectively, the advantages of K-mean and grid clustering algorithms are combined to create the GBKM cluster analysis algorithm. Higher education institutions in Province H are chosen as representative samples in order to examine the variables influencing the development of high-quality vocational education, categorize the degree of that development, and forecast the trend of that development. The findings demonstrate that the GBKM cluster analysis algorithm’s accuracy difference between the predicted and actual data on the development trend of vocational education ranges from [0,0.1]. The algorithm’s absolute error value is 0.182, which falls within an acceptable error range and suggests that the algorithm proposed in this paper is capable of more accurately predicting the development trend of vocational education and may have some theoretical and practical implications for fostering high-quality development of vocational education. It has theoretical and practical implications for advancing the development of vocational education to a high standard.
Muscle Strength Enhancement and Metabolic Acceleration of College Students in Traditional Archery Programs Based on Functional Training
Authors: Zhang Dongsheng
Published: January 2024

At the present stage, the evaluation of human motor function is mainly semi-quantitative, which only evaluates the overall motor function from the degree of joint mobility and muscle status, but the size of muscle strength cannot be obtained by direct measurement. In this paper, we take the muscle activation degree and joint angle of college students in traditional archery programs based on “functional training” as the experimental objects and establish a muscle strength prediction model based on a generalized dynamic fuzzy neural network (GD-FNN). By analyzing the relationship between the surface electromyographic signals and muscle strength under elbow flexion and extension, we selected suitable parameters as the sample data of the fuzzy neural network and proposed a learning algorithm based on the variable sliding window of the GD-FNN. The predicted muscle force was compared with the desired muscle force of the main flexion and extension muscles through the subjects’ elbow flexion exercise and extension exercise. The normalized root-mean-square error between the predicted and actual muscle strength of the algorithm in this paper is less than 0.2. Compared with the maximal strength test, the peak extensor moments (right) and peak extensor moments (left) of the college athletes before and after the functional training, the mean values increased by 30.6 N.m and 42.39 N.m, respectively. Compared with the metabolism of the students during the ordinary training of 2.74 met based on the “functional training” of traditional archery increased, students’ metabolism to 5.03 met. It shows that functional training is favorable to the muscle strength of traditional archery college students and has a positive effect on the metabolic capacity of the body.
Innovation and Application of English Teaching Mode in Colleges and Universities by Integrating Entropy Power-Cloud Modeling
Authors: Du Hongmei , Zheng Pinsu , Cao Yuanyuan
Published: January 2024

This study divides eight indexes from three dimensions—the outer layer, middle layer, and inner layer—in order to evaluate the English teaching modes in colleges and universities. The evaluation is focused on the traditional English teaching method, the flipped classroom, and the blended English teaching method. An English teaching model assessment framework based on the entropy weight-cloud model is created by applying the cloud model to the English teaching model and using the entropy weight technique to establish the weights of each evaluation index. The comprehensive grade of each sample is computed using the subordination degree of each assessment index. A new teaching model is suggested based on the evaluation results, and the model is examined in terms of learners’ attitudes and learning effects in order to confirm the flexibility and benefits of the cloud model for the assessment of English teaching models. According to the data analysis, the three teaching modes’ values in the excellent grade are 0.001, 0.1502, and 0.3020. The comprehensive grade in the traditional teaching mode is poor, the comprehensive grade in the flipped teaching mode is medium, and the comprehensive grade in the blended teaching mode is good.
Diversified Teaching Strategies for College Swimming Courses in the Context of Artificial Intelligence
Authors: Sun Jiayi , Wang Siming
Published: January 2024

Swimming is a sport with a very significant exercise effect, so swimming courses in colleges and universities can promote the overall development of students’ physical fitness. In this paper, students’ swimming data are collected using intelligent sensors, and the collected data are noise-reduced and normalized by a low-pass filter. After the completion of data preprocessing, the swimming posture data features are extracted. The features are dimensionality reduced by the PCA method, combined with the BP neural network for training and accurate swimming posture recognition, and on this basis, a diversified teaching system for swimming courses in smart colleges and universities is constructed. After the students’ swimming data set was collected, the recognition effect of each swimming stroke was analyzed, and a comparison experiment was set up to investigate the practical effect and strategy of this teaching mode. The results show that the average accuracy of recognizing each stroke in this study can reach more than 0.988, and in the teaching test, the average difference between the performance of the experimental group and the control group is 7.6, and the P-value of the technical evaluation performance of the two groups of students in this project is 0.002<0.05, which significantly improves the swimming performance. This study can be combined with artificial intelligence technology to diversify the teaching of swimming courses in colleges and universities.
The Practice of Healthy Elderly Service Innovation Model Based on Data Analytics
Authors: Jing Meng
Published: January 2024

With the gradual deepening of China’s aging population, the status quo of “getting old before getting rich” has brought great challenges to the problem of elderly care. In this paper, we take the supply chain management of elderly services as the core and optimize the service cost and service quality through a two-layer planning model to obtain the best decision-making scheme. A particle Swarm Algorithm (PSO) is proposed to solve the model with intelligent evolution, and an incentive mechanism is established on the basis of the senior care supply chain, which maximizes its revenue by relying on the contract. Finally, by improving the SCORE model, data analysis and dynamic simulation of the senior care service supply chain can be carried out. The results show that the supply chain of senior care service reaches the optimization when the ratio of the capital input of community, institution and home is 0.2:0.2:0.6, and its equilibrium ratio stabilizes at about 96.0%:4%, which effectively alleviates the current pressure of senior care service. This study realizes the coordination of information and interests in the supply chain of community senior care service, which is of great practical significance for the innovation of healthy senior care service.
A Study on the Multiple Teaching Models of Chinese Culture Integration in English Translation Courses Integrating Multimodal Discourse Analysis
Authors: Dou Qiang
Published: January 2024

In this paper, we first preprocess the English-translated text to extract the statistical features of Chinese culture in the translated text using the TF-IDF model as well as the semantic features of Chinese culture using the Word2Vec model. Then, the Chinese cultural contents in English audio, text and video are extracted respectively, and the best way to integrate Chinese culture into English translation is analyzed through feature fusion. Based on the concept of multimodal teaching, a multifaceted teaching model of English translation incorporating Chinese culture was constructed, and the effect of the teaching model was evaluated through the dimensions of students’ performance, Chinese culture awareness, and teaching feedback. The results show that after multimodal teaching sig.=0.03<0.5, the difference in achievement is 8.1 from that before teaching. The average score of students’ Chinese cultural awareness is basically above 80, the maximum value is in the range of 90-96, and the minimum value is also near 80, which indicates that the multimodal English translation teaching with integration of Chinese culture can effectively improve the students’ responsiveness and cultural awareness level.
Research on Kindergarten Drama Education Activity System with Traditional Culture as Carrier under Big Data Platform
Authors: Cheng Zhihong , Cheng Yu
Published: January 2024

Drama education activities carried out by traditional culture comply with, guide and stimulate children’s dramatic nature so that each child can find a suitable place for himself in drama education activities and promote the growth of children with individuality. This paper builds a flipped classroom teaching model for kindergarten drama education activities based on the microblogging public platform. Teachers in the flipped classroom of drama education activities need to collect traditional cultural drama resources before class, and the basic framework of a personalized drama resource recommendation system is proposed on the WeChat public platform. The optimization of drama resource recommendation results is carried out using the preference score of drama resources using the collaborative filtering recommendation algorithm of multi-featured users. The performance test is conducted for the personalized drama resource recommendation system constructed in this paper to provide drama resources for the development of kindergarten drama education activities in the flipped classroom. The results show that when the preference recommendation of multi-featured users’ drama resources has a certain number of users, its accuracy is about 4.5% higher than that of the traditional method, the F-score value is about 0.05 higher than that of the traditional recommendation method, and the real-time updating delay of the personalized recommendation system fluctuates between 1.18s~1.65s. The personalized recommendation system can help teachers to obtain the update and download of traditional culture drama resources in time, make a good guarantee of drama teaching resources for kindergartens to carry out drama education activities with traditional culture as the carrier, and cultivate young children’s awareness of the protection of traditional culture.
Research on the Development of China’s Sports Tourism Industry Based on the Background of Big Data Era
Authors: Wang Zhanfeng , Liu Yunfei
Published: January 2024

In this paper, we use the support vector regression algorithm to minimize the loss function between the real value of sports tourism samples and the predicted value of the model, deal with the complex nonlinear problems through the MLP neural network model, and design a sports tourism development model based on the machine learning model. Focusing on the use of a support vector regression algorithm and MLP neural network model to predict the tourist flow, the panel threshold regression model is used to test whether the variables have a threshold effect on each other and the relationship between the sports industry and tourism development is deeply explored. Based on this basis, the current situation and development of sports tourism were analyzed using data from Province S and 29 provinces in China. The results show that there is a threshold effect on the influence of the Chinese sports industry on regional tourism development, and the estimated value of the threshold is 1.8293. The level of the sports industry in Chinese provinces can be divided into less developed regions of the sports industry ≤1.8293 and developed regions of the sports industry >1.8293. In the first model, which only includes the value of the level of the sports industry in the current period, the relationship between the sports industry and regional tourism development presents a “ λ Λ” shape.
CiteSpace-based Visualisation Analysis of Karate Athletes’ Characteristics of Technique Usage
Authors: Ding Hu , Zhang Guobao
Published: January 2024

With the rapid development of the world karate program, the international competition situation is becoming more and more intense, and the techniques and tactics are gradually moving from single to multiple. This paper uses CiteSpace and kinematic parameters to visualize and analyze the technical movement characteristics of karate. Based on the point and angle parameters in kinematics, the movements of karate athletes on the field are expressed in the form of coordinate points. Scientific knowledge mapping was used to transform the characteristics of karate athletes’ technical use from abstract concepts to diagrams with practical significance and to realize the tactical analysis of the use of karate techniques by players of different weight classes. The results showed that among the movement techniques 571, the most frequently used technique was boxing, followed by kicking, combination techniques, and wrestling, with 265, 197, 35, and 84 times, respectively. In terms of technique success rate, boxing technique had the highest success rate of 40.6%, while leg technique was second with 35.3%. Out of 2344 boxing techniques used, the middle back fist technique was used 1034 times, and the upper back fist technique was used 850 times, which were the two most used techniques.
Orbit Determination of Chinese Rocket Bodies from the Picosecond Full-Rate Laser Measurements
Authors: Lejba Paweł
Published: January 2024

In this paper, the results of the orbit determination of two Chinese rocket bodies from low earth orbit (LEO) regime based on the picosecond laser measurements provided by one laser sensor are presented. A new approach was implemented that involved using a set of single laser measurements known as full-rate measurements instead of normal points. The computation strategy was applied using three different scenarios, and several key parameters such as root mean square (RMS), RMS of position (RMSPOS), RMS of velocity (RMSVEL), and alert time were determined. The results obtained indicate that the most optimal solution is to use short orbital arcs that are 24 h long. In this case, the average RMSPOS is approximately 345–530 m, the average RMSVEL is approximately 1 m/s, and the average arc RMS is approximately 3.7–7.0 cm. The determined alert time parameter, which refers to the time during which the laser observation of a given object should be repeated, is on average approximately 19.5 h.

If longer orbital arcs, such as 2 days or more, are used, RMSPOS and RMSVEL actually reach the level of single centimeters and single millimeters per second, respectively. However, the arc RMS increases significantly to at least decimeters and even above 1 m in some cases. This suggests that the long arc approach is not a favorable solution.

In addition, an interesting discovery has been presented that some Chinese launchers are equipped likely with the laser retroreflectors that can easily reflect the laser beam.
Pengaruh Penambahan Sari Wortel (Daucus carrota L.) terhadap Karakteristik Marshmallow
Authors: Rofianatul Jannah Novia , Ekawati I Gusti Ayu , Kartika Pratiwi I Desak Putu
Published: January 2024

Marshmallows, a chewy candy made from sugar, water, flavoring, and gelatin, are traditionally manufactured using artificial coloring. To enhance their safety for consumption, there's a shift towards natural ingredients as replacements for artificial dyes. Among these ingredients, carrots stand out as a potential source of natural dye. This study aims to investigate the optimal concentration of carrot puree addition to marshmallow production for desired characteristics. A Complete Randomized Design was employed, involving six carrot juice addition levels: P1 (50% carrot juice), P2 (60% carrot juice), P3 (70% carrot juice), P4 (80% carrot juice), P5 (90% carrot juice), and P6 (100% carrot juice). Each treatment was replicated three times, resulting in 18 experimental units. The collected data were subjected to analysis of variance using the SPSS program at a significance level of ?=5%. Post hoc analysis was conducted using Duncan's Multiple Range Test if significant effects were observed. The findings highlighted the substantial impact of carrot juice addition on various marshmallow attributes, including ash and moisture content, reduction sugar content, beta carotene content, color and texture analysis, as well as sensory characteristics like taste and overall acceptance. The optimal treatment emerged as 70% carrot juice (P3), exhibiting key attributes such as moisture content (18.45%), ash content (0.39%), reduction sugar content (10.93%), total beta carotene (254.70 mg/100g), L value* (64), a* (31.40), and b* (49.10). The marshmallow's chewiness texture was rated at 2.10 N, displaying a preferred orange color, desired chewy texture, favored carrot flavor, distinct carrot aroma, and overall acceptance were liked.
Pengaruh Perbandingan Mocaf (Modified Cassava Flour) Dan Tepung Kecambah Kacang Merah (Phaseolus vulgaris L.) Terhadap Karakteristik Flakes
Authors: Sembiring Delvi , Wisaniyasa Ni Wayan , Sri Wiadnyani Anak Agung Istri
Published: January 2024

This study was aiming to determine the effect comparison of mocaf and red bean sprout flour on the characteristics of flakes and find out the best comparison of mocaf and red bean sprout flour to obtain the best characteristics of the flakes. The experimental used completely randomized design with the comparison of mocaf and red bean sprout flour as a treatment which consists of 5 levels: 100%:0%, 90%:10%, 80%:20%, 70%:30%, and 60%:40%. The treatment was repeated three times, resulting in 15 experimental units. The data obtained were analyzed using an analysis of variance and if the treatment had a significant effect, it was followed by a Duncan Multiple Range Test (DMRT). The results showed that the comparison of mocaf and red bean sprout flour had a significant effect on water content, ash content, protein content, fat content, carbohydrate content, crude fiber content, endurance time crispness in milk, hedonic test of colour, aroma, texture, taste, and overall acceptance and scoring test of colour and texture. Flakes from comparison of 80% mocaf and 20% red bean sprout flour had the best characteristics, with a water content 2.35%, ash content 2.90%, protein content 8.40%, fat content 4.96%, carbohydrate content 81.38%, crude fiber content 4.38% and endurance time crispness in milk for 2.38 minutes, the color was cream and liked, the aroma liked, the texture was crispy and liked, the taste liked, and overall acceptance liked.
Pengaruh Perbandingan Tepung Beras dengan Tepung Pisang (Musa paradisiaca L.) Terhadap Karakteristik Kue Apem Kukus
Authors: Purnamasari Nababan Joice Pratiwi , Indri Hapsari Arihantana Ni Made , Diah Puspawati Gusti Ayu Kadek
Published: January 2024

This study was aimed to determine the effect comparison of rice flour with banana flour on the characteristics of steamed apem cake and determine the best comparison of rice flour and banana flour to produce steamed apem cake with the best characteristics. The experiment used a completely Randomized Design with comparison of rice flour and banana flour treatment consisting of 6 levels: 100%: 0%, 90%: 10%, 80%: 20%, 70%: 30%, 60%: 40%, and 50%:50%. The treatment was repeated 3 times to obtain 18 experimental units. The data was analyzed by using analysis of variance and if the treatment had a significant effect, then followed by a Duncan Multiple Range Test (DMRT). The results showed that the comparison of rice flour with banana flour had a significant effect (P<0,05) on water content, ash content, protein content, fat content, crude fiber content, texture and overall acceptability (hedonic), aroma, taste, texture, and color (scoring). Steamed apem cake produced from the comparison of 80% rice flour and 20% banana flour had the best characteristics, with water content of 36.43%, ash content of 0.57%, protein content of 2.90%, fat content of 1.72%, carbohydrate content of 58.38%, crude fiber content of 2.45% and swelling power of 32.17%, whitish brown color, very soft texture, and very sweet taste was liked, the characteristic aroma of bananas and overall acceptance was very liked.
Zeit und Mensch - Facetten einer Kulturgeschichte
Authors: Marquardt Udo
Published: January 2024

Vom Beginn seiner Geschichte an befasst sich der Mensch mit dem Thema Zeit. Dabei ist diese Auseinandersetzung ein zunehmender Abstraktionsprozess, der die Zeit immer weiter von unserem Erleben entfernt.
Udo Marquardt zeichnet diesen Prozess hin zu einem «absoluten», von allem Erleben losgelösten Zeitbegriff nach. Diese Entwicklung ist kein Zufall: Der abgekoppelte Zeitbegriff wird benötigt, um unsere moderne Form von Gesellschaft zu organisieren – vom weltweiten Warentransport über das Internet bis zum Navi im Auto.
Dieser abstrakten und entfremdeten Zeit setzt der Autor einen existentiell-lebensweltlichen Begriff von der Zeit als Zeit des je eigenen Lebens entgegen, die mit der Geburt beginnt und dem Tod endet. Nur solange wir Zeit haben, sind wir. Zeit ist nicht etwas an den Dingen oder auf unseren Uhren, sondern ein zutiefst menschliches, an unser Leben gebundenes Phänomen.
„Die Pharmaindustrie steckt doch mit der Politik unter einer Decke“
Authors: Heinz Janine
Published: January 2024

Der vorliegende Beitrag verweist auf aktuelle Studienergebnisse, welche im Rahmen einer Mixed-Methods Studie zu extremistischen Einstellungen im Auftrag des Bundesministeriums für Inneres zwischen März 2022 und März 2023 entstanden sind. Für diese Untersuchung wurde zwischen Mai und Juli 2022 eine für Österreich repräsentative, standardisierte und mehrsprachige Erhebung unter insgesamt 1.977 Personen durchgeführt. Im Rahmen der telefonisch und online ermittelten Befragung konnten insgesamt 10 Gesprächspartner:innen für anschließende qualitative Tiefeninterviews zum Thema Corona gewonnen werden. Die Studie zeigt, dass die Glaubwürdigkeit öffentlicher Diskurse angesichts der Corona-Krise leidet und deutliche Abstufungen in den Einstellungen gegenüber Corona-Verschwörungstheorien erkennbar sind. So kann zwischen Ablehnenden, Ambivalenten und Verschwörungsgläubigen unterschieden werden. Letztere zeichnen sich nicht nur dadurch aus, dass sie auch antisemitische Deutungen im Zusammenhang mit Corona-Verschwörungstheorien akzeptieren, sondern sich auch eine höhere Demokratieskepsis und gruppenbezogene Menschenfeindlichkeit auszeichnen.Anknüpfend an die quantitativen Ergebnisse können aus den zehn qualitativen Tiefeninterviews – unter Vorbehalt der geringen Interviewzahl – drei unterschiedliche Typologien abgeleitet werden: Unzufriedene, Ambivalente und autoritäre Verschwörungsgläubige. Der Beitrag verfolgt das Ziel, die Ergebnisse der Studie im Überblick darzustellen und insbesondere die Rolle des Medienkonsums und des Vertrauens in Medien und Politik zu berücksichtigen. Wenngleich also von einer pauschalen Pathologisierung im Zusammenhang mit dem Glauben an Corona-Verschwörungstheorien abzusehen ist, darf nicht außer Acht gelassen werden, dass Verschwörungstheorien auch dazu dienen können, Gewalt gegen bestimmte Personengruppen zu legitimieren (vgl. Lindemann 2020, S. 29). Darin liegt auch das extremistische Bedrohungspotenzial: Wenn die Gewaltanwendung ge gen bestimmte gesellschaftliche Gruppen legitimiert wird – seien es Ärzt:innen, Wis senschafter:innen, Medienvertreter:innen, Politiker:innen oder geimpfte Personen – besteht die Möglichkeit, dass die Skepsis gegenüber den Corona-Maßnahmen, die häufig von Unsicherheit und einem Vertrauensrückgang in das politische System beför dert wird, kippt und ein Nährboden für Radikalisierung entsteht.
LA PANDEMIA Y LA PSICOLOGÍA DE LAS MASAS
Authors: Braunstein Néstor
Published: January 2024

Nuestro interés, consecuente con la intención de esta publicación de la Universidad Veracruzana, tiene que centrarse en la pandemia y a ella me propongo referirme desde la perspectiva abierta por el centenario ensayo de Freud, Psicología de las masas y análisis del yo.2Palabras clave : Pandemia, coronavirus, pervasividad, Psicología de las masas.
DESVARÍOS: LA ESCRITURA EN TIEMPOS DE PANDEMIA
Authors: Manero Brito Roberto
Published: January 2024

Este ensayo problematiza el proceso de escritura en las ciencias sociales, y más en general la escritura científica. El argumento sostiene que la escritura científica está entrampada en una contradicción entre la formalización del hallazgo científico y los aspectos extradiscursivos que se generan en la estructuración del discurso cientí-fico. La crítica que supone la cientificidad del hallazgo entonces se detiene, justa-mente frente a las penumbras del discurso. La temática de la escritura a partir de los estudios de Jack Goody, la crítica en Juan Carlos de Brasi, así como la idea del efecto Goody y del efecto Lukács en el Análisis Institucional son la orientación con-ceptual del artículo. La escritura desde la simpatía, como un acto de comunalidad, supondría restituir el núcleo estético y subjetivo al acto de conocimiento. Así, la pan-demia sería un analizador privilegiado de la escritura científica.Palabras clave: Escritura, pandemia, efecto Goody, efecto Lukács.
VIVIR Y MORIR EN PANDEMIA. UNA LECTURA FREUDIANA
Authors: Elmiger María Elena
Published: January 2024

Este trabajo sigue a Freud en sus textos Tótem y Tabú (1912-13) Introducción del Narcicismo (1914) De Guerra y Muerte. Temas de actualidad (1915) la Transitoreidad (1915) y Duelo y Melancolía (1915/17) escritos en los albores y durante la primera Gran Guerra, en su tejido conceptual sobre "nuestra actitud" ante la muerte y las épocas de crisis.Palabras claves: Freud. Muerte. Pandemia. Pasión.
¿PSICOLOGIA DE LAS MASAS Y ANALISIS DEL YO. ¿FARO INTERMINTENTE PARA LA REELABORACION POST PANDEMIA?
Authors: De la Garza Ma. Alejandra
Published: January 2024

El artículo revisa el contexto histórico y particular de Freud para la escritura de Psicología de las masas y análisis del yo e intenta la vinculación de ese tiempo con el actual de crisis por la pandemia del Covid19; así como, la afectación que ha tenido lugar en los lazos sociales.
EL SOPORTE RELIGIOSO. LA NECESIDAD DE PROTECCIÓN Y LA ILUSIÓN DE AMOR
Authors: López Ortega Víctor Hugo
Published: January 2024

Este artículo presenta las elaboraciones de Freud sobre la religión en sus textos Psicología de las masas y análisis del yo (1921) y El porvenir de una ilusión (1927), en donde retoma una idea de su escrito de 1913 Tótem y tabú para situar a la religión como un recurso del ser humano frente a los peligros de la naturaleza, planteándola como un soporte frente al malestar en la cultura que se basa en una necesidad de protección por amor. A manera de ejemplo y para reflexionar la propuesta freudiana, se toman algunas escenas de la película Nazarín, dirigida por Luis Buñuel.
LAS CARAVANAS MIGRANTES COMO PROTESTAS SOCIALES. DEMOCRACIA, PODER Y DISCURSO
Authors: Bustos Hernández Alma Anaid
Published: January 2024

En el presente artículo se elabora una reflexión sobre las caravanas de migrantes, situándolas como protestas sociales que emergen en los países democráticos, sumándose a otras formas de protesta que dan cuenta de la desigualdad, violencia y abusos posibilitados por el mismo sistema, a su vez, se analizan las formas de poder y la pertinencia de hacer públicas las crisis políticas para posibilitar la apertura de diálogo y construcción de saberes que posibiliten una ruptura a las formas de poder vigente que sostienen la violencia, la desigualdad y los diversos problemas sociales que coexisten en los países democráticos latinoamericanos.
LA HISTORIA NO ES EL PASADO, HACER HISTORIA ES PODER RECORDAR EL PRESENTE (ES OTRA HISTORIA DE AMOR)
Authors: Morales Ascencio Helí
Published: January 2024

Quisiera, fundamentalmente, centrarme en la relación entre el psicoanálisis y la universidad, un tema polémico ante el cual hay dos grandes posiciones: la primera dice que los psicoanalistas no deben formarse, de ninguna manera, en el campo de la universidad; la segunda cree que los psicoanalistas tendrían que hacer universidades para formarse. Esto es un debate.
PERFORMANCE, SUBLIMACIÓN Y VIOLENCIA
Authors: Miranda García Jefsi Bahg
Published: January 2024

El fenómeno de la violencia ha estado presente siempre en nuestra sociedad; es evidente que en las últimas décadas, la incidencia a nivel mundial de actos violentos, ha incrementado de forma alarmante.Muchas han sido las propuestas sobre prevención de violencia que diversas instituciones se han encargado de difundir, desde los informes de la Organización Mundial de la Salud, hasta campañas de difusión y tratamiento por parte de instituciones privadas como la Fundación Diarq.
LOS PROCESOS SUBLIMATORIOS EN LA MÚSICA
Authors: Garza Hurtado Anel Sinahí
Published: January 2024

En el presente trabajo se invita al lector a una revisión del ser humano desde el psiquismo en estrecha relación con el arte y sus entramados estéticos.
Él : Paranoia y Surrealismo
Authors: Gerber Weisenberg Daniel
Published: January 2024

En 1932 Jacques Lacan, joven psiquiatra francés, presenta su tesis de doctorado: De la psicosis paranoica en sus relaciones con la personalidad. Seducido desde años atrás por los enigmas de la paranoia –en especial de las paranoicas-, esta tesis será el inicio de un derrotero en el que a lo largo de casi 50 años no dejará de dialogar con esa entidad.Este encuentro de juventud con la paranoia tendrá para Lacan consecuencias que van a marcar tanto su vida como su obra. Una de ellas es el acercamiento al surrealismo que- particularmente con Salvador Dalí- había formulado tesis convergentes en torno al tema.
Los circuitos del Eros
Authors: Bercovich Hartman Silvia Susana
Published: January 2024

Hace al método del psicoanálisis acoger los interrogantes que la época trae. Por la singularidad de su práctica, los psicoanalistas son llamados a estar abiertos al horizonte de su tiempo.La atención libremente flotante que se requiere de él constituye una atención fuera de toda norma. Es necesaria una apertura mayor de espíritu para no fijarse en nada en especial. Pues fijándose el analista en algo en especial, ¿no fija acaso al analizante en “eso” en especial?. Y aquello en lo que al fijarse el analista fija al sujeto hablaría más del fantasma del analista que del análisis en cuestión.
Mirada y subjetividad: Hacia una clínica freudiana de la mirada
Authors: Martín Calderón Norman David
Published: January 2024

El sujeto es siempre mirado y está, de entrada, atrapado entre las redes pulsionales de un deseo que no deja de insistir y un goce que solicita repercutir. Es decir, es mirado porque el objeto le espeta en un punto ciego de su subjetividad y le importuna en el punto donde más le concierne. El sujeto mira, o lo deja de hacer, porque algo de su propia historia se le devuelve para interrogarlo allí donde el objeto le importuna. A veces, deja de mirar porque eso a donde sus ojos ostentan depositarse le obstruye el campo de su propio deseo
Presentación
Authors: Editorial Comité
Published: January 2024

El volumen que presentamos ahora, reúne para ustedes un compendio de trabajos de investigación en torno a una temática siempre actual, siempre apremiante, como lo es el tema de la mujer, su lugar, su condición, su transformación, su emancipación.
PSICOLOGÍA Y PSICOANÁLISIS. CONTEXTOS EPISTEMOLÓGICOS
Authors: Ricardo García América Espinosa,
Published: January 2024

Una profunda revisión epistemológica sobre el contexto de surgimiento de la psicología y el psicoanálisis nos llevaría a identificar ámbitos de coincidencia y puntos precisos de deslinde que se produjeron a partir de los modelos que han imperado en el conocimiento de lo que conforma el campo de la ciencia permeando en el terreno de “lo” psicológico.
PRESENTACIÓN
Authors: Ortega Ángeles Víctor Manuel
Published: January 2024

Hablar de violencia es hablar de un aspecto de la realidad que ha estado presente desde los orígenes mismos de la historia humana; no obstante, en la época moderna parece haberse salido de toda proporción, al punto que se hace difícil distinguir qué motiva un acto violento e incluso nos hace preguntarnos si hemos llegado a un extremo donde la violencia es, en sí misma, medio y motivo.
PSICOANÁLISIS Y VIOLENCIA SOCIAL
Authors: Juan Capetillo América Espinosa, Ricardo García,
Published: January 2024

Este volumen propone la revisión de escrituras vinculadas a temas sobre violencia social que, hoy por hoy, no terminan por ser revisados, discutidos y mucho menos elaborados, aunque corren el riesgo de ser asumidos como de expresión corriente. Es necesario, entonces, insistir en su revisión y análisis a fin de que abonen elementos a una discusión que requiere continuarse.
ELEMENTOS SUBJETIVOS QUE CONSTITUYEN LA VIOLENCIA EN EL ASESINATO
Authors: Aldana Jiménez Juan Miguel
Published: January 2024

La existencia posee dos extremos: la vida y la muerte; ambas han sido motivo, desde tiempos remotos, de interminables reflexiones filosóficas. La dialéctica de Hegel propone como tesis fundamental que la muerte dota de sentido a la vida, yaque el significado de ésta no podría existir sin su opositor la muerte. En este sentido se evidencia que el deseo de vivir se sostiene desde la angustia por la muerte.