bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Intelligent Improvement Strategies of Administrative Management in Colleges and Universities Supported by Big Data Technology Support
Authors: Bian Xu , Bian Chen
Published: October 2024

Big data technology continues to catalyze the informatization and intelligence of education and teaching in colleges and universities while accelerating the difficulty of information management. This paper aims to discuss the development and utilization of information resources, as well as security and protection issues in college administration, through the integration of network technology and the college administrative management system. To address the development limitations of administrative management in colleges and universities, this paper proposes key technologies for the construction of intelligent administrative management in these institutions and analyzes the interrelationships between these technologies. The objective of experimental platforms 1 and 2 is to evaluate the ability of BIM models to render buildings of different sizes in real time. Compare the security performance of the fully homomorphic encryption algorithm proposed in this paper and combine the classical encryption algorithms (DES algorithm, AES algorithm, RSA algorithm, ECC algorithm). Examine the students’ perceived attitudes toward intelligence improvements and the overall effectiveness ratings of the school administration staff. The compressed, custom-rendered files used in this paper’s cloud service significantly improve the user experience by reducing the loading time by approximately half. The overall student perception ratings were no less than 4.13, and the effectiveness ratings of faculty and staff were all in the range of 3.5-5.0, indicating that school administration is effective. The intelligent improvement direction and improvement scheme proposed in this paper is feasible and merits further promotion.
Exploring the Change of Literary Narrative and Reader Interaction Mode in the New Media Environment
Authors: Fang Xiaofeng
Published: October 2024

Literature in the new media environment breaks the boundaries of the industry and reflects the Internet thinking of openness, sharing, and interaction. Starting from the study of interactive narrative phenomena in digital media art, this paper systematically explores the narrative style and characteristics of digital media art. X literary reading platform is selected as a representative, and through correlation analysis and regression analysis, the relationship between the reader interaction of the platform users, the readers’ perceived platform availability, and the readers’ perceived social interaction is explored. The study found that 0.2215 of the reader interactions in the reader interaction patterns of Platform X were social interactions, which are a type of social interaction mediated by the network, and that reader interaction had a significant positive effect on readers’ perceived platform availability and social interactions. The contribution of the study lies in the measurement of readers’ perceived social interaction through the definition of social interaction, while the mediating mechanism of platform availability reveals how readers perceive social interaction in their interactions with online literature. To enhance user services and narrative art changes in the online publishing of literary works, it is crucial to enhance the social interactions that readers of online literature perceive during the reading process.
Big data analysis methods and cultural value mining for the historical research of ceramic art
Authors: Fu Linfei
Published: October 2024

Chinese ceramic art occupies an important position in the world of ceramic art and is an important component of Chinese traditional culture. This study uses crawler technology to collect relevant text data of ceramic art history, then vectorize the text, extract and analyze the keywords of ceramic art history based on TF-IDF and word co-occurrence model, and then combine with the text sentiment analysis model based on Seq2seq model to realize the value mining of ceramic art history and culture. Ceramic art in history is mostly characterized by artistic diversification, design diversification, appearance design, and situational integration with rich colors. China (818 frequency), development (781 frequency), and culture (752 frequency) are the most frequently used keywords. The history of ceramic art is closely united with the traditional Chinese culture in its development, and at the same time, the culture of ceramic craft also has a high technical content, reflecting the aesthetic value and technical value of the history and culture of ceramic art.
Research on the Optimization Model of Semantic Coherence and Fluency in Language Translation
Authors: He Yuanxiu
Published: October 2024

Traditional Transformer machine translation cannot effectively deal with translation errors due to the lack of an explicit evaluation mechanism for the correctness of the target language text, which not only hinders the improvement of the translation quality of the target language but also makes the decoding process highly complex. This paper constructs a model for language translation based on decoding optimization. The problem of choosing the number of decoding rounds is transformed into a Markov decision-making process, and a reinforcement learning algorithm is used, which is based on the translation quality of the target-language translation and the number of decoding rounds obtained from the translation. The appropriate number of decoding rounds is selected according to the different complexity of the source language text to be translated, so that the translation model can achieve a balance between the translation quality of the target language translation and its corresponding time consumption. The optimization of the traditional Transformer machine translation algorithm has finally been achieved. The optimization effect is examined on the dataset. It is found that when the dimension is 1024, the number of parameters of the optimized model decreases by 16.03%, the average reasoning time is under 55 seconds, and the decoding time is always lower than that of the Transformer baseline model. The convergence trend of its Loss is similar to that of the Transformer model but with a faster and better convergence speed. On the six Chinese-English bilingual datasets, the average BLEU score of this paper’s model is 64.586. On the five Chinese-German bilingual datasets, compared with Transformer’s average BLEU value of 44.078, the score of this paper’s model is still the first one, which is 18.29% higher than that of the traditional Transformer model’s BLEU value, and it has a good language translation performance. The language translation model based on decoding optimization in this paper provides a useful exploration for machine translation optimization in terms of improving translation quality, enhancing Loss convergence speed, reducing the number of parameters, and improving decoding speed.
A Critical Study of the Structural Change of the Capitalist Socio-Economic Structure by Combining Marxism and Modern Information Technology
Authors: Huang Haimin
Published: October 2024

Modern information technology networks have changed people’s production and lifestyle, leading to new changes in the economic structure of capitalist society and bringing new challenges to the use of Marxism to criticize capitalism. Based on the knowledge of Marxist economics, this paper provides a critical overview of the changes in the economic structure of capitalism from two aspects: the changes in the forms of capital exploitation and the expansion of capital exploitation relations. Using the complex network theory in modern information technology, a capitalist socio-economic model is constructed to perform a critical quantitative analysis of the structural changes in the capitalist socio-economic structure. A case study of capitalist socio-economic structure is conducted in conjunction with the previous model. The results show that the entropy of capitalist wealth E is decreasing in the case that the parameters of N = 1000, m = 6, and M = 40 are determined, and the traditional labor distribution system and production mode will be eliminated by history in the end. Through a critique of capitalist economic mechanisms, it deepens people’s knowledge of capitalist economic structure.
Construction of an Intelligent Management Model for Ideological and Political Education in Colleges and Universities under the Internet of Things Environment
Authors: Mi Mi
Published: October 2024

The new generation of information technology represented by the Internet of Things, big data, and cloud computing has a great impact on human society, and the integration of the new generation of information technology into ideological and political education is of great significance. This paper focuses on the application of Internet of Things technology in the management of ideological and political education in colleges and universities and builds an intelligent management model of ideological and political education in colleges and universities relying on the campus network. The model mainly includes school registration management, student attendance management, student computer management, and educational resource management. Based on the deficiencies of the existing educational resource management, we refer to the label information, locate the target information, protect and share the extracted resource data through private cloud technology, and complete the design of the sharing system of the Civic and Political Education resources. This paper’s Civic and Political Education Resource Sharing System has a smoother operational effect and a lower operational interference rate than the current system, as demonstrated by the experimental results. Taking A university as the experimental object, the proportion of students whose ideological and political education evaluation results are excellent after adopting intelligent management is 65.42% of the total number of students, which indicates that the intelligent management model can effectively improve the effect of students’ ideological and political education.
Research on teaching innovation of new energy vehicle testing and maintenance technology professional course by integrating online and offline teaching mode
Authors: Cai Yu
Published: October 2024

Integrating online and offline teaching is a new direction for the new energy vehicle testing and maintenance technology professional course, which is conducive to improving the limitations of teaching venues and facility conditions. In this paper, the two paths of optimizing the collision algorithm and designing the virtual simulation teaching software achieve online-offline integration teaching. In order to optimize the authenticity of the operation of automotive parts in virtual simulation teaching, a distributed enveloping box collision detection algorithm is proposed, and the parts that need to be accurately gridded for collision are screened by the OBB algorithm, so as to improve the performance of collision detection. Design virtual simulation teaching software using text, video, sound, and other multimodal information for online and offline integration. The experiment shows that the optimized collision detection algorithm has good performance, and the experimental class score is 6.33 points higher than the control class, indicating that the fusion of online and offline teaching modes has an obvious effect.
Engineering Mechanics Methods in Stability Studies of Bridge Structures and Innovations in Future Bridge Designs
Authors: Fu Cuiying
Published: October 2024

With the development of science and technology and transportation, high pier and large-span bridges are rapidly rising. Due to the increase in span diameter and pier height, nonlinear and stability problems of bridges become more and more important. In this paper, the stability of large-span steel box-girder suspension bridges is investigated using engineering mechanics methods. Based on the finite element analysis method to solve the bridge structure of the first type of stability problems and the second type of stability problems, the use of the response spectrum method for bridge seismic response. Taking “Xiling Yangtze River Bridge” as the engineering background, the seismic response is analyzed by establishing a finite element model. The axial force of the bridge tower generated by the downstream earthquake is larger than that generated by the transverse earthquake. In the transverse direction, the bending moment MZ is larger than the bending moment MY in the transverse direction, and the bending moment of the pile foundation is larger than the bending moment of the pile foundation in the longitudinal direction. The Xiling Yangtze River Bridge plays a dominant role in transverse seismicity, and its downstream seismic excitation plays a dominant role in longitudinal seismicity. However, the energy-demand ratio corresponding to the transverse moment MY is only 1.83, and the strength of the pile section needs to be further improved. For the future innovation of bridge design, a high-performance bridge structure based on UHPC is an important direction for future development.
Research on Software Engineering-based Semantic Network Construction Techniques for Language Repositories
Authors: Li Yun , Li Lianwei
Published: October 2024

With the development and popularization of Internet technology, society has put forward higher requirements for the form and development process of software. In this study, firstly, based on the O-RGPS metamodeling framework, which provides modeling perspectives and meta-relationships among them for software engineering domain modeling, the semantics of ontology, role, and target models in the application domain are constructed. An extended semantic web is utilized to make the semantic network correspond to sentence information. Then, in conjunction with the Bayesian Confidence Network, the established semantic elements are transformed into ontologies, roles, and goals in the semantic process model. Finally, the heterogeneous semantic network based on semantic representation is constructed by using the Summary and Speak expression functions combined with the semantic knowledge of the heterogeneous users to specialize the representation of the ontology semantics. A new disambiguation mechanism for word meanings is created using the maximum entropy method, and an application case test analysis is performed on this semantic network. The experimental results show that the point degree distribution ( u =1.9317, σ =0.6083) and weighted point degree distribution ( u =2.0538, σ =0.7908) of this semantic network conforms to the lognormal distribution. The lognormal distribution pattern is still present in the case of blocking semantics. It shows that the study constructs semantic networks independent of the semantic order, which provides an important foundation for agile software engineering development and meeting the goals of user personalization and diversity.
Application of Genetic Algorithm to the Traditional Layout and Spatial Optimization Design of Suzhou Gardens
Authors: Shi Xiaojing
Published: October 2024

The optimization of the spatial layout of the garden is the key to the garden design. This paper draws on the smooth organization of the dynamic line and the reasonable arrangement of the area of the Suzhou Garden and designs an optimization algorithm based on the genetic algorithm for the layout of the garden. The two optimization objectives of “function” and “dynamic line” are proposed, and genetic algorithm optimization of garden layout is carried out by defining spatial connectivity and accessibility fitness function, integer crossover, and gene exchange. Case analysis shows that the optimization time of the genetic algorithm is much lower than that of the stochastic optimization algorithm; the average connection value and depth value are 1.925 and 0.737, respectively, and the investigation score is close to the professional design scheme. It shows that the application of genetic algorithms to optimize the garden layout has the advantages of being less time-consuming, having a reasonable spatial layout, and being highly professional.
Study on the Practical Effect of Modernization of Ancient Chinese Educational Concepts Empowered by Intelligent Algorithms
Authors: Song Gangjie , Ma Wanzhi
Published: October 2024

It takes ten years to grow trees and a hundred years to nurture people. Education, as the most indispensable link in establishing morality and cultivating people, has a very important role in modern society. The study explores the application of ancient Chinese educational concepts to modern educational models, proposes a modernized teaching model based on ancient educational concepts, and uses the YOLO model to construct a classroom teaching expression and action recognition model under ancient educational concepts. The model is used in the actual classroom to analyze the expressions and behaviors of students in the classroom to explore their classroom concentration, which is used to analyze the quality of classroom teaching. By comparing the differences and changes in the performance of the experimental group and the control group, the effect of the modernized teaching model based on the ancient education concept on actual teaching is explored. Through the model test, the classroom students’ concentration score is 72.71. The pre-test P-value of the experimental group and the control group is 0.846, and the post-test P-value is 0.000, which indicates that there is a significant difference in the performance of the two groups after the experiment. The increase in the performance of the students in the experimental group was 31.390 points, while in the control group, it was 5.175 points. The P-values of the students in the experimental group on the five dimensions of math level are less than 0.05, and the control group is greater than 0.05, which indicates that the modernized teaching model based on the ancient concept of education has a significant positive effect on improving the performance of the students.
Exploring the Promotion Mechanism of Innovative Human Capital Flows for Sustainable Economic Growth in China Based on Machine Learning Perspective
Authors: Wang Yun
Published: October 2024

Under the situation of China’s economic development, the sustainability of innovative human capital flows on economic growth is closely related to the state of future economic growth. Based on the analysis of innovative human capital flows, the article measured the stock of human capital flows by combining the expenditure method and also measured the quality index of China’s sustainable economic growth by using the PPM-RAGA model. Based on the data from 30 provinces and cities in China from 2012 to 2022, a spatial econometric model was designed to analyze the impact mechanism of innovative human capital flows on China’s sustainable economic growth and a spatial autocorrelation test was carried out. There was a significant difference in the overall flow of innovative human capital from 2012 to 2022, and the quality index of sustainable economic growth increased from 1.812 to 2.137, with the quality index of sustainable economic growth increases from 1.812 to 2.137, with an increase of 17.94%. There is an obvious global spatial autocorrelation of sustainable economic growth, and every 1% increase in the flow of innovative human capital leads to 0.141% sustainable economic growth in China. The flow of innovative human capital not only promotes the economic growth of the region but also leads to knowledge and technology spillovers that promote the economic growth of neighboring regions.
Research on Teaching Methods of Integrating Watercolor Techniques and Information Technology in Higher Education Art Education
Authors: Yang Minglu
Published: October 2024

Watercolor painting is a visual and creative discipline, which is closely related to the development of digital technology, which also affects the methods and means of basic art education in China. In this paper, we detect the trajectory of gesture movement after preprocessing the gesture data collected from students in watercolor painting using a Leap Motion sensor. We use Euclidean distance and nearest neighbor laws to identify and classify gesture movements in order to recognize students’ gesture movements in art education. Then, the virtual interactive system is designed with Unity 3D software, and finally, the art teaching method combining watercolor techniques and information technology is established. The results of teaching practice show that the level of students’ watercolor technique skills in all dimensions under innovative teaching is much higher than that of students under traditional teaching, and the significance values are all less than 0.05, which indicates that the use of VR technology has a very obvious impact on the teaching of watercolor painting. Meanwhile, the scores of students’ watercolor painting works were also improved with the assistance of VR technology. This study can provide a case reference for the subsequent research on the application of augmented reality technology and related teaching resources to art education and can enrich the construction of a new model of art learning activities in colleges and universities with technical support.
Research and Application of chatGPT to Empower English Critical Thinking Skills
Authors: You Ruijiao
Published: October 2024

The development of ChatGPT technology has made its application in the teaching field increasingly mature. This paper takes ChatGPT technology as the basis to study its important role in the cultivation of students’ English discursive ability. The description of ChatGPT, English discursive ability, and the application of ChatGPT in the teaching of English discursive ability provide theoretical support for this research. Based on the Business English course, the course design focuses on cultivating English discursive ability, and the teaching effectiveness of the course is evaluated after its implementation. Questionnaires and classroom observation were used to explore the effect of ChatGPT on students’ English critical thinking ability with the help of tools such as the Critical Thinking Emotional Tendency Questionnaire and the Critical Thinking Cognitive Skills Rating Scale. After designing and practicing the English discursive cultivation course in this paper, 74.8% of the students thought that the feedback effect of the ChatGPT teaching method was good. The average scores of the students in Classes A, B, and C taught with ChatGPT were 82.46, 80.37, and 80.06, respectively, which were greatly improved compared with Class D, which was taught with the traditional teaching method. After the teaching experiment, the mean values of the development of discursive ability were 286.82, 281.49, 283.52, 294.79, and 287.94. This significantly improved the students’ discursive emotional tendencies through ChatGPT.
Research on high performance web service construction method based on JavaScript asynchronous programming technique
Authors: Luo Jing , Zhou Bo , Zheng Yan , Pan Wenxuan
Published: October 2024

In the face of massive concurrent user access in the era of big data, how to build high-performance web services has become one of the difficulties to be solved by network applications. This paper utilizes Node.js architecture to fully utilize the event-based programming and non-blocking I/O characteristics of JavaScript language to improve the CPU utilization of the web service side. It also proposes the strategy of predicting user-accessed resources for cache replacement through a Gaussian mixture model to further optimize the performance of high-concurrency web services. The performance of the high concurrency web framework constructed using Node.js technology plays excellent, the performance of multi-threaded Node.js is better than single-threaded, and compared with Apache architecture, the average response time, request-response rate, and data throughput test of Node.js architecture in high concurrency scenarios is more advantageous than Apache architecture. The Gaussian mixture clustering model is effective in dealing with data with high-dimensional features, and the average accuracy of the four clustering processes of each algorithm is, in descending order, GMM (79.67%), BIRCH (78.09%), and K-means (77.52%). In addition, the cache replacement strategy based on Gaussian Mixture Model is more effective, with an accuracy rate of nearly 80% and a byte hit rate of nearly 45% when the cache capacity reaches 214KB, which are both higher than the traditional cache replacement strategy with the same cache capacity.
Strategies for Informational Integration of Wushu Teaching and Ethnic Traditional Sports Culture
Authors: Qian Bin
Published: October 2024

Chinese Wushu has a long history and is a sports program gradually developed by the Chinese nation in war, which has important values such as fitness, beauty, and heart. Based on the concept of OBE teaching, the article establishes an informatization teaching mode for Wushu in combination with MOOC platforms and describes the implementation steps for Wushu informatization teaching. Then, based on the cognitive theory of multimedia learning, the construction of an online teaching resources development model of national traditional sports culture in MOOC platform, the introduction of the K-means algorithm for student similarity calculation, combined with collaborative filtering recommendation algorithm for personalized recommendation of online teaching resources of national traditional sports culture. It was found that the MAE value of student similarity based on the K-means algorithm was 0.088, which was 32.82% lower than that of the sub-optimal Pearson algorithm. Before and after the experiment, the EC class students had a 15.97-point increase in their theoretical knowledge of wushu, which was 14.8 points higher than that of the CC class. The information integration strategy for Wushu teaching and traditional national sports culture should be based on the growth-oriented (SO) strategy, supplemented by other developmental strategies.
Research on the Practical Path and Intelligent Teaching Strategy of Marxist Chineseization in the Ideological and Political Education of College Students in the New Era
Authors: Wang Shuangxi
Published: October 2024

This paper delves into the practical application of Marxist Chineseization in Civic and Political Education, providing an overview of its definition. Exploratory factor analysis and reliability analysis were used to complete the questionnaire design work after selecting the research subjects. Based on this questionnaire, research data were collected, and statistical methods such as Pearson’s correlation coefficient and linear regression model were applied to explore the current situation of ideological and political education under the perspective of Marxist Chineseization. The results show that the mean values of the dimensions of ideological and political education under the field of Marxist Chineseization are ranked as Curriculum (3.9348) > Teachers’ Teaching Materials (3.8273) > Practical System (3.7381) > Daily Civics (3.6411). In addition, there is a significant difference between ideological and political education in the field of Marxist Chineseization and the demographic characteristics of the survey sample (P<0.05), and the regression coefficient of the curriculum is 0.364, which is higher than the regression coefficients of the other variables, indicating that the curriculum is the most important for the enhancement of the effect of ideological and political education under the field of Marxist Chineseization. Finally, we propose intelligent teaching strategies based on the analysis results.
The Potential of Food Markets in the Contemporary City: A Systematic Literature Review
Authors: Vaivadaitė Skaistė , Navickienė Eglė
Published: October 2024

A marketplace encompasses more than commerce. Due to its tangible and intangible characteristics, it becomes a vibrant and engaging public space for the local community and tourists. Marketplaces face challenges in both restructuring and preserving their rich attributes. A systematic literature analysis of recent architectural research has identified the challenges of markets as dynamic urban elements. Four main themes of the research have been identified – Built Environment, Economic, Social, and Cultural, as well as four intermediary themes – Local Trade, Branding, Local Identity and Sense of Place. The multidimensionality of the market has been explained. The systematic literature analysis has revealed the significant potential of the market both as a built environment element and as an economic, social, and cultural phenomenon in urban transformation processes.
The Potential Benefits of Physiotherapy in the Emergency Department: Views of Patients and Healthcare Professionals / Der potenzielle Nutzen der Physiotherapie in der Notaufnahme: Ansichten von Patienten und medizinischem Fachpersonal
Authors: Godoy-Suter Marianne Diego , Winteler Balz Ronald , Schmitt Kai-Uwe , Beckwée David , Raab Anja M.
Published: October 2024

Outpatient emergency consultations due to musculoskeletal (MSK) complaints are increasing in Swiss hospitals. In some countries, physiotherapy (PT) is already incorporated into patient care in emergency departments (EDs). The aim of this qualitative study was to investigate the perspectives of patients and healthcare professionals (HCPs) on the potential involvement of PT in the ED of a regional acute hospital. A total of seven individual interviews with patients with MSK complaints and one focus group interview with five HCPs from the ED of a Swiss regional acute hospital were conducted. Semi-structured literature-based guidelines were used to analyse the experience of treatment in the ED and assess the potential of PT in ED. The data was thematically analysed according to Braun & Clarke (2006). Patients and HCPs see the role of PT in the ED primarily in patient education. Patients expressed a need for information about diagnosis, prognosis, and self-management. HCPs emphasised the added value of PT’s MSK expertise and discussed new perspectives for the profession. An agile approach to PT, potentially improved quality of care and patient satisfaction, as well as concerns about PT without a medical diagnosis, were emphasised. Four of the five HCPs would actively participate in the involvement of PT. According to patients and HCPs, the potential involvement of PT in the ED could counteract a gap in patient education. They see opportunities using PT expertise, agile work deployment, potential relief for the emergency team, increased quality of care, and patient satisfaction. Challenges such as clarifying the indication and concerns about PT without a medical diagnosis are important aspects of involvement. Evaluating a PT service in a regional acute hospital would be desirable.
Assessment of the Longevity and Water Relations of Cut Gladiolus ‘White Prosperity’ in Response to GA3 Corms Pretreatment and the Composition of the Holding Solution
Authors: Rani Pooja , Yadav Kuldeep , Pal Priyanka , Singh Narender
Published: October 2024

The experiment was carried out in the Botanical Garden and Plant Physiology Laboratory, Department of Botany, Kurukshetra University (India) to identify the effect of postharvest treatments on qualitative traits of control (untreated) and GA3 pretreated (100 ppm) corms of ‘White Prosperity’ gladiolus to enhance flower quality and prolong longevity. Different concentrations of sucrose alone and in combinations with citric acid and 8-hydroxyquinoline (8-HQ) [T0 – control (DDW); T1 – 8% sucrose; T2 – sucrose (8%) + citric acid (200 ppm); T3 – sucrose (8%) + 8-HQ (400 ppm); T4 – citric acid (200 ppm); T5 – sucrose (4%); T6 – sucrose (4%) + citric acid (200 ppm); T7 – sucrose (4%) + 8-HQ (400 ppm)] were used as postharvest treatments under completely randomized design with ten replicates per treatment. The moisture content and the fresh weight were higher in spikes obtained from GA3 pretreated corms placed in sucrose (4%) + 8-HQ (400 ppm) solution as postharvest treatment followed by sucrose (4%) + citric acid (200 ppm) in gladiolus. The combination of sucrose (4%) + 8-HQ (400 ppm) followed by sucrose (4%) + citric acid (200 ppm) also demonstrated the best outcomes in terms of improving water uptake and vase life, which increased by ten days. These best preservative treatments are suitable for delaying flower senescence, prolonging the vase life, and enhancing the postharvest quality of gladioli. Further, this method can also help in testing new gladiolus hybrid selections.
Experimental Study on the Evacuation Behaviour of a Crowd Through Bottlenecks
Authors: Yugendar Poojari , Ravishankar K. V. R.
Published: October 2024

The growth of cities is very fast and is often very difficult for urban development. Pedestrian dynamics in this context are very important when designing a facility in terms of the safety, economics, and level of service to its users. The present study focuses on analysing the effect of density and width of a bottleneck on the behaviour of a crowd under emergency conditions. The inclusion of a buffer space for the dispersion of a crowd through a bottleneck is analysed. A relationship is established between total times, the flow and, a specific flow versus the width of a bottleneck. The formation of a dynamic layer was observed during capacity conditions due to the zipper effect. Among the five types of distributions, a semi-random distribution was the better fit for the headway data observed. It was observed that capacity increases in a stepwise manner as the width of a bottleneck increases, which can be attributed to the formation of dynamic lanes. The distance between these lanes is independent of the width of the bottleneck.
Physical-Mechanical and Durability Properties of Concrete with Lightweight Artificial Aggregate Produced by Controlled Self-Burning of Waste Coal Tailings
Authors: Stehlík Michal , Batelka Michal , Heřmánková Věra , Anton Ondřej
Published: October 2024

The goal of this research focusing on the burning of coal tailings to produce a lightweight artificial aggregate is to compare the physical-mechanical and durability properties of concrete containing this new type of artificial aggregate with those of the reference concrete. The following parameters are measured on all the samples: compressive strength, volume mass, the static modulus of elasticity in compression, the frost resistance of this new type of concrete, and the resistance to CO2. All the concretes tested with the new artificial aggregate exceeded the characteristic strength values in all the strength classes monitored. The volume mass of the concrete with the new artificial aggregate is tens of percentages lower than that of the conventional reference concrete. The frost resistance of the concrete tested was reliably proven by the non-destructive resonance method. It was also found that at the lower strength classes of concrete, carbonation occurred earlier, but there was no obvious direct relation to the porosity of the new artificial aggregate. The tests performed showed that it is possible to produce high - quality concrete using a new lightweight artificial aggregate produced from coal tailings
PERANCANGAN SKENARIO FILM PULANG TERINSPIRASI DARI KEKERASAN JALANAN: STUDI KASUS FENOMENA KLITIH DI YOGYAKARTA
Authors: Wibowo Philipus Nugroho Hari
Published: October 2024

Kekerasan Jalanan berupa klitih menjadi fenomena yang meresahkan, dan memprihatinkan mengingat pelaku klitih adalah pelajar yang masih mencari jati diri. Permasalahan klitih sampai saat ini belum bisa di temukan secara pasti penyebabnya. Klitih merupakan tindakan kekerasan. Pendekatan perancangan skenario ini menggunakan pemahaman  Sizek tentang kekerasan. Sizek membagi kekerasan menjadi dua bentuk kekerasan subjektif dan kekerasan objektif. Kekerasan subjektif adalah kekerasan yang paling dapat dilihat dalam kehidupan sehari-hari seperti: pembunuhan, pencurian, perampokan dan lain sebagainya sedangkan  kekerasan subjektif adalah bentuk imaginer (tak kasat mata) dari kekerasan objektif.Perancangan ini merujuk pada tahapan-tahapan penciptaan kreatif yang dikemukakan oleh Graham Wallas yaitu, (a) Preparation, (b) Incubation, (c) Ilumination, (d) Verification. Perancangan skenario film ini diharapkan menjadi media penyadaran masyarakat tentang bahaya klitih, khususnya lingkup pendidikan yang paling kecil yaitu keluarga.Kata kunci: Kekerasan Jalanan, Klitih, Skenario Film Pulang, Sizek, Graham Wallas
Replication: Influence of Context on Emotion Perception in Facial Expressions
Authors: Barron Danica A. , Hale Ralph G.
Published: October 2024

Accurate facial emotion perception during social interactions facilitates personal well-being and improves social skills such as empathy and social appraisal (Manstead et al., 1999). In the present study, we attempted to replicate this effect. Participants were presented with an image depicting a face that has been identified by Matsumoto and Ekman (1988) as a universal facial expression of “fear.” The expression is characterized by distinct features which collectively signal a state of apprehension or distress across diverse cultural contexts. Then participants were randomly assigned to 1 of 3 conditions: congruent, incongruent, or no context scenarios. The congruent context scenario suggested the face expressed fear whereas the incongruent scenario suggested the face expressed anger. Participants selected the emotion they felt was expressed by the face in the picture. We expected the congruent and no-context groups to choose fear as the expression more often than the incongruent group. A 1-way ANOVA between the 3 groups found a significant effect, F(2, 42) = 38.50, p < .001, ηp2 = .64. Congruent and no-context groups chose fear as the facial expression significantly more often, thereby confirming our hypothesis and replicating previous findings. The effect of context on emotion perception is strong and replicable, suggesting that context plays an important role in emotion perception despite the universality of facial expressions.
The Interplay of Depression, Rumination, and Negative Autobiographical Memory
Authors: Roberts Patricia M. , Finley Jason R.
Published: October 2024

This experiment investigated rumination as a possible mechanism for the phenomenon of depression increasing negative autobiographical memories. Participants recalled a negative autobiographical memory involving school before rating the negative mood intensity of that memory, then half of the participants ruminated on that memory and half of the participants were distracted from it. Participants then rated the memory again, and either ruminated or were distracted for a second time before rating the memory for a third time and completing the Beck Depression Inventory-II, the Rumination on Sadness Scale, and demographic questions. The negative mood intensity of the autobiographical memory decreased over time, but did so to a lesser extent when participants ruminated on it versus being distracted (interaction p < .001, d = 1.01). Furthermore, for the rumination condition, participants with greater depression scores reported negativity ratings that decreased at a slower rate over time; for the distraction condition, participants with greater depression scores reported negativity ratings that decreased at a faster rate over time (interaction p = .040, ΔR2 = .047). Depression leads to rumination, and may also amplify the effect of rumination on the negativity of autobiographical memories. The effects of rumination may be due to memory effects such as retrieval practice and mood congruency. Individuals experiencing higher levels of depressive symptom severity may be more likely to experience increasingly negative memories due to rumination.
KAMPANYE POLITIK KOMISI NASIONAL ANTI KEKERASAN TERHADAP PEREMPUAN DALAM PENGESAHAN RANCANGAN UNDANG-UNDANG TINDAK PIDANA KEKERASAN SEKSUAL
Authors: Waty Mega
Published: October 2024

Kasus kekerasan seksual telah menjadi tren yang terus meningkat. Sebagai salah satu cara menekan angka tren kekerasan seksual yang meningkat maka Komnas Perempuan menggagas pembahasan rancangan undang-undang penghapusan kekerasan seksual atau disingkat dengan RUU TPKS pada 2012 silam. Namun dalam perjalanannya pengesahan RUU TPKS tidak kunjung usai dan berulang kali mengalami penundaan. Pengesahan suatu RUU tidak akan bisa didorong tanpa komunikasi politik yang efektif. Komnas Perempuan melakukan upaya promosi kepada publik meliputi kampanye politik dalam memberi pengaruh atau mengubah sikap pada khalayak merupakan upaya yang dilakukan demi pengesahan rancangan undang-undang tindak pidana kekerasan seksual. Maka, signifikasi penelitian ini adalah Kampanye politik yang dilakukan Komisi Nasional Anti Kekerasan terhadap Perempuan dalam mendorong rancangan undang-undang tindak pidana kekerasan seksual. Tujuan penelitian adalah membuat analisa terkait kampanye politik yang dilakukan oleh Komnas Perempuan yang dilakukan untuk mendorong pengesahan RUU TPKS. Metode yang dilakukan adalah kualitatif deskriptif. Dimana penelitian ini mendekripsikan hasil wawancara mendalam dari narasumber yang terlibat langsung dalam proses kampanye politik Komnas Perempuan dari tahun ke tahun demi disahkannya rancangan undang-undang tersebut. sementara itu hasilnya adalah Kampanye yang dilakukan Komnas Perempuan dapat mempengaruhi khalayak dengan perubahan awareness, attitude dan action. Dalam hal ini, kampanye politik dapat didasarkan pada upaya perubahan kesadaran, tingkah laku dan aksi yang dilakukan setelah melakukan kampanye politik terkait pentingnya pengesahan RUU TPKS yang dimaksud.
Social Networks: How to Improve the New Competitiveness of Mses in the Chimbote Hardware Sector – Peru
Authors: Rueda Jessica Milagros Huertas , Cazola José German Linares
Published: October 2024

Objective:TodeterminetheinfluenceofsocialnetworksonthenewcompetitivenessofMSEsinthehardwaresectorChimbote–Peru.
 
Theoretical Framework: Concepts and theories of social networks, business competitiveness, factors and characteristics.
 
Method: Applied research, quantitative approach, non-experimental-cross-sectional design, correlational-causal level, based on simple random probabilistic sampling, applying a structured digital questionnaire with 26 items. 245 digital consumers with vast experience in social media shopping.
 
Results and Discussion: The direct-positive relationship between social networks and digital competitiveness of MSEs was verified. The study is consistent with the findings of Amancio, et al. (2021), which evidenced an increase in the level of sales, communication, and quality of information from the use of networks, likewise, Eddahbi & Navarro (2022), deduces the advantages that social networks present for competitiveness.
 
Research Implications: To determine competitive factors from a digital point of view, so that companies can adapt to improve both physical and digital positioning and market share.
 
Originality/Value: A new conception is presented on the relationship between the use of social networks and the level of the new competitiveness of MSEs, based on the fact that the use of social networks allows companies to be perceived as innovative, modern, adaptable and useful; on the contrary, those that do not use them are considered traditional, classic and maladapted, conceptualizing as determining factors of digital competitiveness the responsiveness, security, guarantee and satisfaction of the consumer.
Examining the Relationship Between the Gasoline A Market and the Prices of Hydrous Ethanol and Sugar to the Producer in Brazil
Authors: Lima Eduarda Ferreira Pacheco de Andrade , Melo André de Souza
Published: October 2024

Objective: The aim of this article is to discuss the relationship between the gasoline A, sugar and alcohol markets in Brazil from May 2003 to February 2018.
 
Theoretical Framework: The sugarcane-alcohol sector has been affected by various policies, such as the Proálcool program, the intervention in ethanol blending in gasoline, and more recently, RENOVABIO. Thus, the market structure, in which gasoline and the sugarcane-alcohol sector are embedded, has shown a strengthening in the correlation of commodity prices, as highlighted in the literature.
 
Materials and Methods: Prices of gasoline A, hydrous ethanol and producer sugar were used to estimate an autoregressive vector model (VAR). Dummies were included in the system to determine the following events: the crisis of 2008, the interventionist policy of restraining gasoline prices in Brazil (between April 2011 and June 2014) and the time when flex-fuel vehicles became the largest part of the car fleet in the country (from 2012).
Results: The results suggested that there are links between the gasoline market and the sugar and alcohol sector, mainly with hydrous ethanol, which is a substitute for fossil fuel in consumption.
 
Research Implications: Therefore, it is crucial that the federal government consider the consequences that gasoline price controls can generate in the sugar and ethanol industry, so that producers do not suffer from greater business risks, as it has been in recent years.
 
Value: The literature extensively explores the price relationship between sugar and ethanol with gasoline C (common gasoline). This article innovates by observing in greater depth the price of gasoline A and its dynamics with the sugarcane-alcohol sector.
Refugees in the World: The European Community's Response
Authors: Refuge Editor
Published: October 2024

conference announcement
News in Brief
Authors: Refuge Editor
Published: October 2024

news in brief
Any notebook served: authoring and sharing reusable interactive widgets
Authors: Manz Trevor , Gehlenborg Nils , Abdennur Nezar
Published: October 2024

The open-source Jupyter project has fostered a robust ecosystem around
notebook-based computing, resulting in diverse Jupyter-compatible platforms
(e.g., JupyterLab, Google Colab, VS Code). Jupyter Widgets extend these
environments with custom visualizations and interactive elements that
communicate directly with user code and data. While this bidirectional
communication makes the widget system powerful, its architecture is currently
tightly coupled to platforms. As a result, widgets are complex and error-prone
to author and distribute, limiting the potential of the wider widget ecosystem.
Here we describe the motivation and approach behind the anywidget project,
a specification and toolset for portable and reusable web-based widgets in
interactive computing environments. It ensures cross-platform compatibility
by using the web browser’s built-in module system to load these modules from
the notebook kernel. This design simplifies widget authorship and distribution,
enables rapid prototyping, and lowers the barrier to entry for newcomers.
Anywidget is compatible with not just Jupyter-compatible platforms but any web-based notebook
platform or authoring environment and is already adopted by other projects.
Its adoption has sparked a widget renaissance, improving reusability,
interoperability, and making interactive computing more accessible.