bluuebunny/crossref_metadata_2025 huggingface dataset:
Realistic Challenges and Optimization Approaches of Civic Education in Colleges and Universities in the Context of Big Data
Authors: Lai Chen , Liu Wei
Published: January 2024

Civic and political education with big data should not just be a one-way knowledge inculcation. It is more of a guideline and direction that can guide everyone’s life. This paper gives a detailed description of the realistic challenges facing Civic and Political Education in the context of big data and gives the optimization path of Civic and Political Education in combination with big data technology. The essence of ideological education is to help students establish correct concepts and values of life. This paper uses the PSO algorithm to improve the K-means algorithm, builds a student portrait based on student data, and fully analyzes the behavior related to student life consumption. Then, through the FOA algorithm to optimize the parameters of the SVM algorithm, the student learning data for deep mining in order to achieve the student academic early warning, to help college administrators understand the student learning situation. The purpose of Civic Education is to aid students in establishing correct concepts of life and learning, and this paper conducts corresponding empirical analysis. The results show that the PSOK-means algorithm achieves absolute convergence after 45 iterations, and its MSE value is 2.208, the FOA-SVM algorithm has 0.0979s more computing time than the RF-SVM algorithm after 2000 iterations, and the clustering of students’ portraits results in 4 classes, and the accuracy of academic warning is more than 80%. Reasonable big data technology and the deep integration of the application of political education in colleges and universities can help college administrators understand the development of students so as to formulate a political education program that is more in line with the development of students and to improve the quality of talent cultivation in colleges and universities.
Application of financial management in regional economic development based on VAR modeling
Authors: Li Xiaoyun
Published: January 2024

This paper constructs a vector autoregressive (VAR) model between the level of financial management and regional GDP. Through the Granger causality test, the panel data at the financial management level and regional economic phenomena are studied, and the empirical distributions in the stationary situation are given by combining the stochastic simulation method. The auxiliary regression equations are established separately for constrained and unconstrained conditions, and the test statistic is constructed to determine whether there is Granger causality between the variables. Finally, from the actual data, a one standard deviation shock is applied to LATS and LGDP, and a response model with a lag of 100 periods is chosen to obtain the impulse response of the level of financial management and regional economic growth. The results show that the impact of the regional economy on the level of financial management is zero in the first period and then increases continuously, reaching a maximum response of 0.0233 in the 49th period, which indicates that there is a bidirectional promotional effect between the level of financial management and the regional economy and that the effect is not very strong but lasts for a long time.
Civil and Commercial Jurisprudence Observations on Intelligent Social Governance
Authors: Geng Yanwen
Published: January 2024

The purpose of civil and commercial jurisprudence observation is to realize the intelligent and innovative development of social governance and to improve the efficiency of related cases. This paper develops a civil and commercial jurisprudence case information analysis system that utilizes MVC architecture and intelligent technology. The BERT pre-training model and self-training model are combined for the construction of a civil and commercial jurisprudence legal information extraction model, which helps judicial personnel understand the scope of civil and commercial jurisprudence cases in the process of social governance. Then, the ILJP is used as the basis to combine the fact encoder, the element predictor and the legal cause predictor to carry out the construction of the interpretable legal cause intelligent research and judgment model, which provides an intelligent research and judgment program for the civil and commercial jurisprudence social governance cases. The effectiveness of the civil and commercial law case analysis system is an important guarantee to enhance intelligent social governance, so this paper carries out a test and analysis of its intelligent algorithm and system performance. The results show that the legal information extraction model tends to stabilize after the first 15 iterations of training, and its validation loss value is around 0.173, and the training loss value of the model is around 0.008 when the training of the intelligent research and judgment model reaches 200 rounds. When the information analysis system of civil and commercial law cases reaches 1,000 concurrent users, the average response time of each logical operation does not exceed 3s, and the occupancy rate of CPU and memory resources is over 30%. The information age needs to fully combine technology and social governance in order to deeply mine the information of civil and commercial jurisprudence related cases, improve the efficiency of social governance, and innovate the intelligent development of social governance.
Employee mental health risk prediction and coping management based on neural network
Authors: Chang Lijun
Published: January 2024

In this paper, after dissecting the neural network model, the initial weights and thresholds of the BP neural network are optimized through selection, crossover, mutation and other operations by using the global optimization-seeking ability of the genetic algorithm. The model for predicting employee mental health risks is initially constructed by selecting structural design, structural parameters, and genetic operators. The feasibility of the model in mental health risk prediction was explored based on the indicators of training time, model error and prediction accuracy, and the prediction model was utilized to predict the mental health risk of the employees in Company A and the coping plan for the employees’ mental health risk was established. The results show that the accuracy of the neural network model is 90% and 85%, respectively, during the training and testing processes. The sensitivity and specificity of the training set are 90.00% and 75.06%, respectively, the Yoden index is 0.78, and the Kappa coefficient is 0.69, and the sensitivity and specificity of the test set are 92.00% and 78.05%, which is a good performance, based on which the study is able to predict the risk of mental health of the employees and to guarantee the mental health of the employees in real-time.
Female Characterization and Cultural Characterization of Water Margin Based on Cognitive Mapping Constructs
Authors: LYU Ling
Published: January 2024

The Water Margin portrays many typical female images, and different female character images make the characters more fleshed out so that the readers will never forget them. In this paper, we construct cognitive mapping based on the cognitive mapping of female characters in Water Margin. In order to more intuitively display female characters and their embedded cultural characteristics, we choose a multilayer perceptual machine to learn the representation of emotion score vectors and combine the temporal and semantic relationships in the text with long and short-term memory networks to construct an emotion dictionary of female characters. GAN is utilized in female characterization to provide a foundation for thoroughly analyzing the cultural characteristics of female character roles. The method given in this paper was validated and analyzed in terms of female characterization and cultural characteristics. The results show that on the EmotionROI dataset, the classification accuracy of the emotion lexicon is 9.34% higher than that of the GOSR algorithm, and the classification accuracy of various emotion categories reaches more than 70%. The image generation quality of the GAN method is 63.96% on the BLUE-4 dataset, and the final CIDER index score on the MSVD dataset tends to be 1.15%. The image of female characters in Water Margin mainly conveys a variety of different images such as heroic, ugly and complex, which represents the real state of women at the bottom of society in the feudal period of the late Yuan and early Ming Dynasties, and provides a certain reference for understanding the cultural traits under the feudal society.
The Path of Digital Construction of Civics and Politics in Professional Course Curriculum of Higher Vocational Colleges and Universities Based on the Concept of OBE
Authors: Liu Yanwen , liu Shuiqing , Zhang Junxian , Wang Gang , Wang Shurun
Published: January 2024

This paper explores the principle of deep reinforcement learning algorithm application and constructs the digital teaching model of Civics through the recurrent neural network, Markov decision process, Actor-Critic algorithm and collaborative filtering recommendation algorithm. On this basis, the state representation model and decision-making model are invoked to improve the diversity optimization recommendation of the deep reinforcement learning algorithm. Aiming at the problems existing in the practical application of the OBE concept, the model constructed in this paper is utilized to propose a multi-platform integration of the Civics digital learning model. The objective of empirical and simulation experiments is to confirm the model’s implementation and recommendation effects, respectively. In the validation of hyperparameter d and N values, the DQN model achieves the optimal recommendation effect when the d values are 65 and 63 on the HetRec and MovieTweetings datasets. During the implementation of the digital teaching evaluation of the course Civics, more than 60% of the students rated the teacher’s feedback session higher. Overall, the 6 dimensions were rated higher, and the number of students who chose to be fully compliant and conforming was more than 200.
Cultivation of e-commerce management talents based on F2C model in the context of scientific and technological development of agriculture
Authors: Yang Yi
Published: January 2024

Based on the LISEREL model and the characteristics of ordered categorical variables, this paper establishes a structural equation model with ordered categorical variables to study the cultivation effect of e-commerce management talents under F2C mode. The measurement model and structural model are constructed using the content and cultivation effect of e-commerce management talent training and e-commerce sales performance, and the degrees of freedom of exogenous observation variables, endogenous observation variables and parameters in the model are estimated. Path analysis was utilized to determine the degree of influence of the F2C talent cultivation model on e-commerce management talent competency and management performance, as well as the effect size. The results show that all the dimensions of e-commerce talent competence under F2C talent cultivation mode are between 3.5 and 4.5, and the relationship between F2C talent cultivation mode on e-commerce talent sales performance is significant at the level of P-value 0.001, and the path coefficients of talent cultivation and sales performance are between 0.1-0.3, and that the F2C cultivation mode is beneficial for the enhancement of e-commerce managerial talent competence.
Agricultural products industry chain construction based on multiple regression analysis on the innovation of rural management mode
Authors: Wu Lili
Published: January 2024

This paper constructs a multiple regression analysis model of the agricultural industry chain with rural environment and economic management and estimates the model parameters using the least squares method. The linear correlation between the variables is analyzed based on the variance expansion coefficient, standardization coefficient, complex correlation coefficient and other indicators, and the regression problem is analyzed for significance. Then the antidifferential Kalman filter optimization method of least squares and the threshold denoising optimization method based on wavelet decomposition and reconstruction transformation are introduced to optimize the model parameters to improve the model performance. Finally, the impact of agricultural industry chain construction on the rural environment and economic management is analyzed based on the model. The correlation coefficients between the three dimensions of agricultural product industry chain management and the performance of rural economic management are 0.318, 0.468, 0.416, and the correlation coefficients between them and the performance of rural environmental management are 0.297, 0.528, and 0.529, respectively, which indicates that rural agricultural product industry chain construction can promote rural management.
Optimization of Diversified Teaching Mode of Vocal Singing in Colleges and Universities by Integrating Audio-visual and Multi-sensory Senses
Authors: Zhang Yanlin
Published: January 2024

To cultivate students’ perception of music culture through audio-visual multi-sensory methods in college vocal singing teaching is a new way to understand music works and cultivate music culture consciousness. The flipped classroom is the basis for this paper, which aims to innovate the teaching of vocal singing in colleges and universities. The linear prediction of Mel’s cepstral coefficient is used to extract the auditory features of the music symbols of the vocal singing video in the flipped classroom so that the students can master the relevant skills and pronunciation of vocal singing. To help students understand vocal singing in its specific context, the time-frequency diagram is utilized to analyze the singer’s movements in the vocal singing video. The self-attention mechanism is used to fuse auditory and visual features, which is validated and analyzed for its effectiveness, teaching effect, and satisfaction. The results show that when the added noise signal-to-noise ratio reaches 50dB, the recognition rate of the LPMFCC algorithm for vocal singing music signals is above 80%. Utilizing the flipped classroom for vocal singing teaching, the average score of students’ vocal singing increased to 9.71, and more than 80% of the students believed that the flipped classroom teaching mode could enhance their independent learning ability. The flipped classroom teaching mode, which integrates audio-visual and multi-sensory teaching methods, can enrich the teaching methods of vocal singing in colleges and universities and further enhance students’ interest in vocal singing.
A neural network-based prediction model for cultivating skilled personnel in higher vocational education
Authors: Zhang Li , Wang Zhengqiang
Published: January 2024

In this paper, the neurons in the BP neural network are used to represent the skill-based talent cultivation feature vectors, and the feature vectors are trained on the network to obtain the vector transformation function. On the basis of the vector transformation function, after constructing the technical talent cultivation prediction model by using the backpropagation algorithm, the data indicators are determined according to the requirements of skill-based talent cultivation, and the initial data are normalized by overfitting for the technical talent cultivation prediction results. The empirical research on the synthesis of technically skilled talents in higher vocational education is designed by means of questionnaires, and the data analysis software is used to analyze the examples of skilled talent cultivation in vocational education under the background of big data technology. The results show that from 2015 to 2020, the predicted values of the number of technically skilled talents demanded in a province are 92,130, 105,396, 160,946, 225,045, 232,313 and 216,150 respectively, and the relative error values are less than 0.05 compared with the actual demand values of technically skilled talents in the same period, indicating that based on the BP neural network-based technical talent cultivation prediction model outputs a good fit between the extrapolation test prediction value and the real value. This study guides the cultivation of skilled talents in higher vocational education.
The application of printmaking art elements in visual communication design
Authors: Hu Weiguo , Zhou Xueyuan
Published: January 2024

Visual communication design and printmaking art are two independent art disciplines, but they have many similarities in graphic design, color matching and other aspects. This paper demonstrates the extraction of printmaking features using the improved LBP algorithm. The method of color histogram and color space is used to complete the color extraction of the image, and the texture features of the image are described by combining signal processing and statistical analysis. The LBP algorithm is used to locate the center pixel of the image to form a binary bit string, and the pattern value is obtained by multiplying each binary bit by the corresponding weight and summing up. The efficiency of image texture acquisition is enhanced by adding neighborhood gradient multiscale to the LBP algorithm. To obtain printmaking art elements and propose a direction for integration with visual communication design, image feature extraction is applied to printmaking art element extraction. The performance of texture classification for images has been significantly improved by the improved LBP algorithm, as shown in the results. On the Outextc10 texture dataset, DLBP5 achieves the highest classification accuracy of 92.19% by extracting colors, textures and shapes in printmaking and applying the features with elements of printmaking to visual communication design. Under the direction of integrating printmaking art style elements with visual communication design, users selected {unique, packaging design}, {vivid, branding design}, and {sharp, advertisement design} with higher satisfaction gradients, with ratings of 4.62, 4.17, and 4.36, respectively, which are all greater than 4.
A study of the effects of different sports programs on psychological stress and mental toughness of college students in the Internet era
Authors: Qi Junqing
Published: January 2024

There are differences in the effects of different groups of sports on mental health factors, and this paper analyzes the effects of different sports on psychological stress and mental toughness based on logistic regression and clustering. By exploring the association between sports and psychological quality, the mediating effect model of sports benefits on mental health was constructed. Logistic regression was used to analyze the test results of different health factors among college students, and the dimensions of psychological stress and mental toughness were divided by combining the methods of cluster analysis. The results showed that after soccer, the student’s life stress decreased from 31.8 to 28.6, and after badminton, the students’ developmental stress decreased from 23.4 to 21.6. The students’ developmental stress before basketball was 23.8, and the students’ developmental stress after basketball was 20, which was a decrease of 3.8.The test of students’ mental toughness presented the soccer>track and field>basketball>Unsports results. The students’ resilience increased from 3.01±0.45 to 4.12±0.74 after the soccer intervention.
Research on the Dynamic Synergy Mechanism of Industry-Education Integration and Science-Education Integration in the Construction of a Strong Educational Country
Authors: Chen Rongjuan
Published: January 2024

The purpose of this paper is to combine the integration of industry and education with the fusion of science and education and to promote the acceleration of the construction of a strong educational country under the perspective of collaborative governance. On the basis of exploring the traditional genetic algorithm, combined with the synergistic relationship between the integration of industry and education and the integration of science and education, the cooperative co-evolutionary genetic algorithm (CCGA) is selected to analyze the synergistic optimization of the two. Combined with the CCGA algorithm process, the synergistic efficiency and cooperative stability of the two are explored, and the coordination degree of the two is measured using the method of example analysis. Among them, the island model genetic algorithm and CCGA algorithm are selected for function testing to verify the superiority of this paper’s algorithm. The data shows that the synergy degree of elevator installation, repair, and maintenance majors in School Q is 0.48, ranking first. 0.44 For construction, 0.27 for electromechanical. 0.06 for agriculture, and the integration degree of other majors is lower than the average of 9 majors. The degree of synergy between industry, education and science in this university needs to be improved, and the connection between the education chain and the industrial chain needs to be strengthened.
Deep learning-based high performance liquid chromatography for food analysis
Authors: Lin Yuan , Yan Wang
Published: January 2024

This paper presents a study on the determination of synthetic pigments using high performance liquid chromatography (HPLC) method combined. A retention value qualitative approach, combined with an uncertainty assessment algorithm for the determination of pigment content, was used for the simultaneous determination of nine synthetic pigments, namely, lemon yellow, amaranthine red, indigo, carmine, sunset yellow, brilliant blue, seductive red, erythrosine, and seductive red, in foodstuffs by reversed-phase high-performance liquid chromatography (RP-HPLC). The sample pretreatment method was optimized, and the chromatographic conditions were set to investigate the UV determination wavelength, mobile phase, column temperature, and wavelength of synthetic pigments. Under the same mobile phase and column conditions, the results indicated that the components’ retention times did not significantly fluctuate with the change in column temperature. The results showed that the chromatographic response signals of lemon yellow, sunset yellow and seductive red were higher at the UV determination wavelength of 254 nm, so 254 nm was finally determined as the UV detection wavelength in this experiment. Mobile phase A: methanol, B: ammonium acetate (0.02mo/L) using gradient elution, the separation degree R>1.5, and the symmetry and stability of the chromatogram were better. The separation of the components was good, and the peak shape was sharp and symmetric when the column temperature was 35 ℃, so the column temperature was chosen to be 35 ℃, and the establishment of the chromatographic conditions was thus completed.
Specific implementation strategies for rural revitalization strategies to help agricultural and rural economic development
Authors: Liu Guanqin
Published: January 2024

This paper constructs an evaluation index system for the development level of rural revitalization strategy and gives an evaluation index system for the development level of agricultural and rural economy. The index weights are solved by using layer-by-layer vertical and horizontal slotting methods combined with the “entropy value” nonlinear programming method, and the TOWA-GA hybrid operator is used to downgrade the evaluation value of rural revitalization level and agricultural and rural economic development level of each region and each year in the dimension of time, so as to reflect the equilibrium of the development process and the authenticity of the evaluation results. An empirical model of the influence factors of rural revitalization strategy on agricultural and rural economic development was constructed on the basis of the PVAR model, and the specific influence factors of rural revitalization strategy contributing to the development of agricultural and rural economy were verified through actual data. The results show that the index of rural revitalization development level and the increment of agricultural and rural economic development level between the western region and the eastern region in 2019-2019 reached 144.94% and 40%, respectively, and one unit of change in rural revitalization development level will cause 0.518 units of change in agricultural and rural economic development level. The implementation of the rural revitalization strategy can promote the rural areas to increase the opening up to the outside world, realize the coordinated development of urban and rural areas, increase the income of farmers’ industries, and thus enhance the level of agricultural and rural economic development.
Generative adversarial networks in computer vision: image synthesis and manipulation
Authors: Dong Lingfeng , Huang Yi , Zou Yuanyang
Published: January 2024

In this paper, we first use the hidden variable loss to generate an adversarial network to optimize the efficiency of the original GAN operation. Secondly, the optimized GAN algorithm is used to train the encoder and decoder to form a new image-processing GAN by combining with the self-encoder and to standardize the operation process of image synthesis. On this basis, the performance of the self-encoder GAN is compared with the original GAN algorithm, and the quality of images generated by the self-encoder GAN and other ways is tested. The test results show that compared with the original GAN framework, the self-encoder GAN has a 50% improvement in operational efficiency in terms of root-mean-square error and an 80% reduction in synthesized global relative error. The self-coder GAN based on this algorithm is 22.5% higher than the traditional BiGAN framework and 2.5% higher than the OGAN framework in terms of FID quality criteria of the generated images and produces 30% less data capacity than BiGAN. The generated images have an average IS score of 3.435, which is superior to other base algorithms.
A Study on the Timeliness of College English Teaching in the Context of Fuzzy Numerical Analysis
Authors: Tao Gang
Published: January 2024

The purpose of analyzing the subjective and objective factors affecting the timeliness of college English teaching is to develop corresponding strategies to enhance the timeliness of College English teaching. In this paper, an evaluation index system for the timeliness of college English teaching is constructed, and the basic process of fuzzy comprehensive evaluation method using fuzzy numerical analysis is designed. The optimal solution is found by comparing the corresponding objective function values after the bat position is updated, and the weights of the evaluation indexes are selected adaptively to ensure the objectivity of the index weights. In order to be able to more intuitively analyze the relevant factors affecting the timeliness of College English teaching, the questionnaire was used to obtain the evaluation index data, and numerical analysis was conducted for relevant and fuzzy comprehensive evaluation. The results show that the adaptive selection of indicator weights using the BA algorithm reaches the optimal convergence value of 0.504 after 10 iterations, and the weight of the evaluation indicators obtained at this point best reflects the distribution of English teaching effectiveness variables. The comprehensive evaluation score of the fuzzy numerical analysis carried out in College A is 2.1534, and the rating is in the middle, so its teaching content and methods need further improvement. The use of a fuzzy numerical combined evaluation index system can deeply excavate the relevant influencing factors of college English teaching timeliness, help college English teachers to innovate more effective teaching methods, and finally improve the timeliness of college English teaching.
Intelligent Design and Application of Traditional Cultural and Creative Products Based on Digital Art Elements
Authors: Meng Xianhang , Li Hansen
Published: January 2024

Cultural and creative industry is one of the main fields of digital art element design, and this paper utilizes digital art design for visualization programming of cultural and creative works. Through the three elements of 3D model, registration method and animation composition, the intelligent design process of AR cultural and creative products is defined, and the editing process of AR cultural and creative products is sorted out on this basis. Construct the model of cultural and creative products containing digital art elements, solve the problem of inconsistency between the coordinates and the model network appearing in the modeling, and then carry out the back-end design processing for AR cultural and creative products editing, which constitutes the whole back-end module through real-time methods and multiple trigger events. Through the method of empirical analysis, the feasibility of adding digital art elements to cultural and creative products, the consumers’ willingness to purchase cultural and creative products, and the innovation performance of cultural and creative products are analyzed. In the test of the moderating effect of the intelligent design of digital art elements on the cultural and creative products, the performance of the cultural and creative products improves synchronously with the embedding of the digital art elements, and the mean value finally stays at 0.375, and all the straight lines are above zero.
Optimization of Translation Techniques between English and Chinese Literary Works in the Information Age
Authors: Li Jun
Published: January 2024

Under the background of cultural globalization, English-Chinese literary translation plays an important role in which it is not only a process of language conversion, but also a process of cultural conversion. In this paper, the BiGUR-LM-Attention optimization model is fused and constructed using the WordNet semantic similarity model, GRU-LM one-way gated similarity model, and BiGR-LM two-way gated similarity model. The LDA theme model is selected to generate the 3-layer Bayesian network structure of literary works’ paragraphs, themes and words to obtain the probability information that represents the highest attention of the work’s text theme, which constitutes the attention mechanism feature word vector. Finally, five classic literary works are selected as the training corpus to compare and analyze the translation quality between machine translation and human translation in the mutual translation of English and Chinese literary works. The results show that the number of errors and the total score of machine translation are 95 and 275, which are significantly lower than those of manual translation, 105.37 and 360.19. The new model has outstanding translation performance in semantic recognition, dialect, and special nouns, which effectively improves the translation quality of literary works and is of great significance for the dissemination of cultural works.
Intelligent education management system design for universities based on MTCNN face recognition algorithm
Authors: Xiao Xiaohua , Su Zhixian , Ye Qiqi , Qin Zhixia , Wu Lijie
Published: January 2024

This paper first constructs an intelligent education management system for universities according to their needs and explains its logical and technical architecture. Secondly, a multi-task convolutional neural network with MTCNN is used to detect faces, and different loss functions are selected to ensure recognition accuracy. Finally, the effectiveness of the application of intelligent education management systems in universities is verified through performance tests. The results show that the time consumed for face recognition detection using MTCNN is 524ms, and the response time of each function of the system does not exceed 500ms when the number of concurrent users is less than 500, which indicates that the intelligent education management system based on MTCNN face recognition algorithm has a good response speed and meets the requirements of intelligent education management in colleges and universities.
Image Recognition Technology Applied to the Design of Mobile Platform for Warehouse Logistics Robots
Authors: Zhou Jie , Lu Rong
Published: January 2024

This paper first studies the processing flow of image processing technology that preprocesses the image and adopts the method of polygonal approximation to identify the shape and localize the moving target. Then, the mobile platform of the warehouse logistics robot is designed. Then, the vision system of the robot was designed using image recognition technology to realize obstacle collision prediction and route planning. Finally, the robot’s localization and grasping abilities, trajectory following performance, and semantic segmentation abilities are analyzed using comparative experiments. The successful localization and grasping rates of the warehouse robots are all higher than 93%, and the trajectory following the straight line road section is better, with a maximum error of less than 21 mm. The mIoU of this paper’s method on the Cityscapes dataset is 78.85%, MPA is 86.05%, and PA is 96.89%, with good image segmentation performance. This study is of great significance for the development of the intelligent logistics field.
Association of point in range with β-cell function and insulin sensitivity of type 2 diabetes mellitus in cold areas
Authors: Ni Yanan , Liu Dan , Zhang Xiaona , Qiao Hong
Published: January 2024

Background and Objective

Self-monitoring of blood glucose (SMBG) is crucial for achieving a glycemic target and upholding blood glucose stability, both of which are the primary purpose of anti-diabetic treatments. However, the association between time in range (TIR), as assessed by SMBG, and β-cell insulin secretion as well as insulin sensitivity remains unexplored. Therefore, this study aims to investigate the connections between TIR, derived from SMBG, and indices representing β-cell functionality and insulin sensitivity. The primary objective of this study was to elucidate the relationship between short-term glycemic control (measured as points in range [PIR]) and both β-cell function and insulin sensitivity.

Methods

This cross-sectional study enrolled 472 hospitalized patients with type 2 diabetes mellitus (T2DM). To assess β-cell secretion capacity, we employed the insulin secretion-sensitivity index-2 (ISSI-2) and (ΔC-peptide0–120/Δglucose0–120) × Matsuda index, while insulin sensitivity was evaluated using the Matsuda index and HOMA-IR. Since SMBG offers glucose data at specific point-in-time, we substituted TIR with PIR. According to clinical guidelines, values falling within the range of 3.9–10 mmol were considered “in range, ” and the corresponding percentage was calculated as PIR.

Results

We observed significant associations between higher PIR quartiles and increased ISSI-2, (ΔC-peptide0–120/Δglucose0–120) × Matsuda index, Matsuda index (increased) and HOMA-IR (decreased) (all P < 0.001). PIR exhibited positive correlations with log ISSI-2 (r = 0.361, P < 0.001), log (ΔC-peptide0–120/Δglucose0–120) × Matsuda index (r = 0.482, P < 0.001), and log Matsuda index (r = 0.178, P < 0.001) and negative correlations with log HOMA-IR (r = -0.288, P < 0.001). Furthermore, PIR emerged as an independent risk factor for log ISSI-2, log (ΔC-peptide0–120/Δglucose0–120) × Matsuda index, log Matsuda index, and log HOMA-IR.

Conclusion

PIR can serve as a valuable tool for assessing β-cell function and insulin sensitivity.
The uses of the term polarisation in Swedish newspapers, 2010–2021
Authors: Farjam Mike , Bruhn Tommy , Gustafsson Nils , Segesten Anamaria Dutceac
Published: January 2024

In this article, we investigate the rhetorical uses and media frames associated with the term polarisation in Swedish print media from 2010 to 2021. We first produce a qualitative and detailed assessment of a sample of 240 articles and then proceed to a computational (word2vec) analysis of all major Swedish newspaper articles including the term (N = 32,805). We find that the term has changed its rhetorical function over time. Initially used to describe, – that is, used as a technical descriptor of events and issues in society – this use later became increasingly vague and general. Instead, it has been rhetorically used to amplify, implying a sense of urgency, conflict, or threat. Over time, the term has been used increasingly frequently, but has been applied less to Sweden and, instead, most often associated with political actors and events in the US. Moreover, we find that, for Sweden, the term polarisation was mostly related to social and political issues, whereas for the US, it carried affective associations.
Pengaruh Penambahan Daun Stevia (Stevia rebaudiana Bertoni) terhadap Karakteristik Teh Celup Herbal Temu Putih (Curcuma zedoaria (Berg.) Roscoe)
Authors: Kezia br Sinuhaji Astria , Darmayanti Luh Putu Trisna , Yusasrini Ni Luh Ari
Published: January 2024

The objective of this study was to know the effect of stevia leaves addition on the characteristics of herbal tea bag made from white turmeric and to know the right of stevia leaves addition to get the best characteristics of herbal tea bag of white turmeric. This research used a Completely Randomized Design with the stevia leaves addition as a treatment which consist of 6 levels: 0%, 2%. 4%, 6%, 8%, and 10%. The treatment was repeated three times, resulting in 18 experimental units. The data obtained were analyzed by analysis of variance (ANOVA) and if the treatment had a significant effect, then it was followed by The Duncan Multiple Range Test (DMRT). The results showed that the stevia leaves addition had a highly significant effect (P<0,01) on the moisture content, total phenolics, antioxidant activity, and taste (scoring test), had a significant effect (P<0,05) on the ash content, and no significant effect (P>0,05) on panelists’ preference for color, taste, flavor, and overall acceptance.. The result showed that 10% concentration of stevia leaves addition was the best treatment, where the herbal tea produced had a criteria: moisture content 10.58%; ash content 7.14%; total phenolics 17.84 mg GAE/g; powder antioxidant activity 85.94%; brewed antioxidant activity 81.85%; the color, flavor, taste, and an overall acceptance were slightly liked; and the taste was sweet.
Pengaruh Perbandingan Jagung Manis dan Kacang Tanah Terhadap Karakteristik Susu Jagung Modifikasi
Authors: Urziah Nuhayillah , Yusa Ni Made , Sugitha I Made
Published: January 2024

This study aimed to determine the effect of the sweet corn and peanut ratio on the characteristics of modified corn milk and to find out the right amount of sweet corn and peanuts to obtain the best characteristics of the modified corn milk. The experimental design used was a completely randomized design with the comparison of sweet corn and peanuts as a treatment which consisted of 6 levels, namely: 100%:0%, 90%:10%, 80%:20%, 70%:30%, 60% :40%, and 50%:50%. The treatment was repeated 3 times, resulting in 18 experimental units. The data obtained were analyzed by analysis of Variance, and if the treatment had a significant effect, it would be continued with the Duncan Multiple Range test. The results showed that the comparison of sweet corn and peanuts had a significant effect on moisture content, ash content, protein content, fat content, carbohydrate content, total solids content, crude fiber content, beta carotene, hedonic test (color, aroma and overall acceptance) and scoring test (color, aroma and taste). However, it had no significant effect on the hedonic taste test. The best characteristics were obtained from the ratio of 70% sweet corn: 30% peanuts with the criteria of water content 85.32%, moisture content 0.11%, protein content 2.76%, fat content 6.43%, carbohydrate content 5.63%, total solids content 14.68 %, crude fiber content of 2.26% and beta carotene content of 0.08% as well as the sensory properties of the hedonic test the color was favored with the criteria of white and slightly yellow, the aroma and taste were typical of peanuts and overall acceptance was liked.
Pengaruh Konsentrasi Kopi Robusta (Coffea canephora) Sebagai Bahan Marinasi Terhadap Karakteristik Daging Sapi
Authors: Carlos Daniel Juan , Indri Hapsari Arihantana Ni Made , Hatiningsih Sayi
Published: January 2024

This study was aimed to determine the effect of the concentration of robusta coffee as a marinating material on the characteristics of beef and to determine the right concentration of robusta coffee as a marinating material to produce beef with the best characteristics. This study used a complete randomized design with treatment with the addition of robusta coffee concentration towards beef that consists of 5 levels namely 0%, 20%, 40%, 60%, and 80%. The treatment was repeated 3 times to obtain 15 experimental units. The data obtained were analyzed by variance and if the treatment had a significant effect then it was followed by the Duncan's Multiple Range Test (DMRT). The results of this research showed that concentration of robusta coffee as a marinating material had a significant effect (P<0,05) on moisture content, protein content, pH score, water holding capacity (WHC), texture (hardness), hedonic test (color, aroma, texture, flavor, and overall acceptance) and scoring test (aroma and texture). The concentration of 80% robusta coffee as a marinating material towards beef had the best characteristics with 77.16% moisture content, 21.45% protein content, 5.67 pH content, 32.70% water holding capacity, 8.36N texture (hardness), color was neutral, preferred aroma strong was rather liked, preferred texture rather firm was rather liked, preferred flavor was neutral, and overall acceptance was neutral.
Pengujian Daya Hambat Ekstrak Bubuk Temu Putih (Curcuma zedoaria (Berg.) Roscoe) Terhadap Aspergillus flavus
Authors: Brahmasari Hana Kusuma , Darmayanti Luh Putu Trisna , Suparthana I Putu
Published: January 2024

This study aimed to determine the extract of concentration of white turmeric powder in inhibiting the growth of the fungus A. flavus and to determine of active substances contained in the white turmeric powder. The parameters bioactive compounds observed total phenol contains, total flavonoids contains, and curcumin contains. White turmeric powder was extracted using 96% ethanol. The extraction method used is maceration. This study used a Completely Randomized Design with several concentrations of concentrated extract of white turmeric powder consisting of 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%. All treatments were repeated twice to obtain 20 experimental units and the data obtained were analyzed by descriptive analysis and interpreted with tables and figures.. The test results showed that the concentrated extract of white turmeric powder was not effect to inhibit the growth of the fungus A. flavus. The results showed that white turmeric powder contained phenol 576.225 mg GAE/100g, flavonoids 1.090.65 mg/100g, and curcumin 14.35 mg CE/100g.
Autoritäre Dynamiken und Verschwörungsglaube
Authors: Aschauer Wolfgang
Published: January 2024

Der Beitrag untersucht anhand der Daten aus der letzten Befragung der Salzburger Autoritarismusstudie (Dezember 2021) das Ausmaß coronakritischer Haltungen in der Salzburger Bevölkerung, die Anfälligkeit für Verschwörungsmythen sowie die (damalige)Befürwortung von Maßnahmen gegen Ungeimpfte. Beide Einstellungsbündel, so die Sichtweise des Autors, verdeutlichen potentiell autoritäre Dynamiken in der Bevölkerung. In einer vertiefenden theoretischen und empirischen Betrachtung autoritärer Einstellungen wird aktuell ein Konglomerat ersichtlich, das sich aus klassischen autoritären Einstellungen (wie Konventionalismus, autoritäre Unterordnung und autoritäre Aggression) verbunden mit sozialer Dominanzorientierung (wie Machtdenken und Kraftmeierei) bis hin zu Aberglaube, Stereotypie und Projektivität zusammensetzt. Im Beitrag wird anhand einer annähernd repräsentativen Stichprobe von 444 Salzburger*innen geprüft, wie hoch das Ausmaß coronakritischer Haltungen und die Befürwortung von harten Maßnahmen gegenüber Ungeimpften zum Zeitpunkt der Delta-Welle ausgefallen ist. Des Weiteren zeigt eine multiple Regressionsanalyse, die zahlreiche Einflussfaktoren auf diese beiden zentralen Merkmale der gesellschaftlichen Polarisierung am Höhepunkt der Pandemie in den Blick nimmt, auf, dass autoritäre und antiegalitäre Einstellungen nicht nur bei Corona-Maßnahmengegner*innen, sondern zu einem gewissen Teil auch bei Corona-Maßnahmenbefürworter*innen beobachtbar waren. Die Forschungsergebnisse deuten folglich darauf hin, dass autoritäre Dynamiken in der Gesellschaft undurchsichtiger werden und nicht mehr spezifisch einzelnen Gruppen zuordenbar sind.
ODIOS EXACERBADOS. LUCHA INTERGENERACIONAL Y PANDEMIA COVID-19
Authors: Capetillo Hernández Juan
Published: January 2024

En el artículo reflexionamos acerca de la elevación de la pulsión mortífera entre generaciones a causa del COVID-19. Si bien descartamos, a contrapelo de la opinión de algunos, que la lucha intergeneracional ocupe el centro del conflicto social en el siglo XXI, desplazando a otras polaridades, sí consideramos que tiene un peso importante como lo ha tenido a lo largo de la historia de la humanidad. El coronavirus SARS-CoV-2 ataca letalmente a la población de mayor edad, por arriba de los sesenta años, siendo mucho menos peligrosa con la juventud. La estrategia de contención de la proliferación del contagio, el confinamiento, enfrenta a las generaciones, exacerba su odio inconsciente en tanto presupone sacrificio de goce por parte de los jóvenes en beneficio de los adultos mayores.Palabras clave: Parricidio, filicidio, COVID-19, pulsión, sublimación
LETRAS Y PESTES
Authors: Tepichín Pablo
Published: January 2024

En este artículo se analiza la relación entre algunas novelas sobre el tema de las pestes y las distintas percepciones de la gente en torno a los contagios, la incertidumbre o la muerte. Así como en el contexto de la Covid-19, se revisan las actuales formas de comunicación signadas por lo digital, las cuales se están convirtiendo en una especie de humanidad aumentada en la que la conectividad podría traer en esta época, múltiples efectos psicológicos, éticos y sociales todavía no calculados. En suma, se aborda la relación entre la literatura de las pestes, para posteriormente establecer un punto de encuentro con una interpretación de la suspensión del tiempo y la pandemia actual habitada por el sujeto digital.Palabras clave: Literatura, peste, homo digitalis.
EL VIRUS Y LOS DISCURSOS DEL AMO MODERNO
Authors: Mejía Coria José Antonio
Published: January 2024

El objetivo del presente artículo es realizar una aproximación a la problemática del virus a partir de algunos planteamientos sobre el discurso del universitario concebido como el amo moderno y sus correlatos bio y psicopolíticos. Es importante resaltar que el estudio de los regímenes biopolíticos y psicopolíticos de cuadriculación y administración de los cuerpos y el territorio, permiten identificar algunas claves que suponen el proceso de constitución de los procesos de subjetivación que se organizan a partir de las condiciones impuestas por la contingencia sanitaria. Asimismo, cabe señalar que las nociones de dispositivo de la persona y campo nos permitirán profundizar dicho análisis a partir del acontecimiento que ha representado para el entramado global el desencadenamiento de la pandemia por el Covid-19.Palabras clave: virus, discurso del universitario, biopolítica, psicopolítica, dispositivo de la persona, campo.
De la psicología de las masas al odio y la segregación
Authors: Gerber Daniel
Published: January 2024

Psicología de las masas y análisis del yo es un texto fundamental para apreciar de qué manera la exclusión es constitutiva del lazo social, de tal modo que el odio, la segregación, el rechazo del Otro, son componentes inevitables de las sociedades.
INTRODUCCIÓN.
Authors: Editorial Comité
Published: January 2024

En lo que a la universidad se refiere, la cuestión se reduce a verificar si, en principio, está dispuesta a reconocer al psicoanálisis alguna importancia en la formación del médico y el hombre de ciencia. De ser así, tendrá que resolver la manera de incluirlo en el conjunto de su enseñanza.