bluuebunny/crossref_metadata_2025 huggingface dataset:
Plagiarism: Analysis of the Cultural Grounds of Excuse
Authors:   Industrial University of Tyumen, Shlyakov Aleksey V.
Published: May 2024

The article is devoted to the study of the cultural foundations of such a phenomenon as plagiarism. It is revealed that plagiarism, like theft and appropriation of authorship of someone else’s work, has its roots in the mythology of culture: the theft of fire by Prometheus, the theft of the blessing of the birthright by Jacob. Plagiarism is a form of self-identification based on an act of passive protest. Through it, the subject is removed from the current government and constitutes its own autonomy. Assuming that theft comes from need, lack of something, plagiarism is also carried out from a lack of self, and in the act of appropriation there is an attempt to compensate for sovereignty. The cultural conditions of postmodernity are described, which exclude plagiarism from the condemned deviations: intertextuality, multiplicity, Death of the Author, leveling the boundary between opposites. Today, the Author is gradually being eliminated from the text and this manifests itself in a special temporal connection: the modern Author existed before the text, and today’s scriptwriter arises simultaneously with the text. The text becomes open, free to make or extract meaning. It can be observed that postmodern discourse implements a kind of apology for plagiarism, considering it an important component of creativity. Plagiarism studies reject the moral assessment of the phenomenon in favor of demonstrating the imaginary boundaries between the copy and the original. The conclusion is made about the need to return the study of plagiarism to the moral field, the return of conscience and “cognitive abilities”.
The Problem of National Consciousness in Ancient Greek and Early Christian Philosophical-Religious Texts
Authors:   Institute of Philosophy of the Russian Academy of Sciences, Arshin Konstantin V.
Published: May 2024

The concept of national consciousness has been a subject of considerable interest in scientific discourse, particularly concerning its manifestation in ancient Greek and early Christian philosophical-religious texts. The article examines the problem of national consciousness as reflected in ancient Greek and early Christian philosophical-religious texts. The author aims to identify the peculiarities of how ancient Greeks perceived themselves as an ethnic group and early Christians as a confessional community comprising individuals from various nationalities. To achieve this goal, the main imperatives related to the early Christians’ perception as a specific ethno-confessional group and the self-identification of ancient Greeks in ethnic terms were determined. Conclusion dwells upon the fact that the peculiarity of the formation of ancient national consciousness was its limitation by political identification with the polis. Within the Greek community, each individual was primarily a citizen of a specific city-state and only then a representative of the ancient Greek community. Additionally, it was also revealed that only the overtly proselytizing nature of New Testament teachings allowed early Christians, despite significant ancient Jewish heritage, to transcend ethnic boundaries, turning Christianity into one of the world’s religions rather than remaining within the confines of an ethno-confessional community.
Symbol and Myth as Tools for the Theurgic Transformation of Reality in the Works of Pavel Florensky and Vyacheslav Ivanov
Authors:   Financial University under the Government of the Russian Federation, Buzhor Evgeniya S.
Published: May 2024

The concept of theurgy, as elucidated by Vladimir Solovyov, posits a transformative process wherein empirical reality is transfigured into the ideal through symbolic and mythic means. Pavel Florensky and Vyacheslav Ivanov, two prominent thinkers of the Russian philosophical tradition, offer distinct perspectives on the role of symbol and myth in this theurgic transformation. This article seeks to explore and compare their theories within the framework of theurgical philosophy. It is argued that both thinkers adhered to a similar concept of the symbol, yet differed in their understanding of its role in the theurgic transformation of reality. Pavel Florensky believed that transformation could be achieved through the potentiation of the natural symbol via so-called “mystical cognition”, which involves endowing a phenomenon with personal significance to evoke the awakening and activation of its latent ideal essence. In contrast, Vyacheslav Ivanov contended that the “enhancement” of the symbol to the level of idea is impossible, thus proposing the theory that the effective means of transforming reality is not the symbol as a word, but the myth as a synthetic judgment, which, although based on the symbol, does not organically arise from it, but is formed by intellectual intuition. The conclusion of the study suggests that the difference in approaches between the two philosophers is rooted in ontological premises. Pavel Florensky developed his concept of symbol potentiation based on “name theology”, asserting the identity of name and thing, whereas Vyacheslav Ivanov adopted a more restrained position regarding the power of naming, which led to the development of his predicate theory of myth. By critically examining their theories within the context of theurgical philosophy, this study contributes to a deeper understanding of the complexities of symbol and myth in the quest for spiritual transformation. Further research is needed to explore the practical implications of these theories for modern philosophical and theological discourse.
Morfología de la costa atlántica entre Punta Ninfas y Cabo Dos Bahías, Chubut, Argentina
Authors: Schillizi R. A. , Spanguolo J. O. , Luna L.
Published: May 2024

A description and genetic analysis of themorphological units present in the northwestern coastal area of Chubut province, betweenPunta Ninfas and Cabo Dos Bahías, along 300 km approximately, were carried out. Thiswork aims to define the processes that have acted to shape the different geomorphologicalfeatures of the area. Also, based on the morphological traits evaluate changes in sea level thattook place during the Quaternary. In a semiarid environment, with temporary water courseswith the exception of the Chubut River, several morphological units were developed. Morphological and geological maps, aerial photographs (1:20.000 scale) and in situ detailedsurveys data were used to determine the units present in the area. Topographical profilesbetween tide levels using the Emery method adapted to large beaches were performed andmorphological examinations into the continent were made up to about 10 km from the coast.Tectonically, are classified as Trailing edge coasts. According to its structure are ruggedcoastlines. Correspond to coasts under the action of storm waves caused by winds reach 10m/s. Among the morphological units continental and marine types were recognized. Thecontinental forms are integrated by terraces, depressions, valleys and gullys. Among themarine units active and inactive units were found. The active marine units determined were:cliffs, beach ridges, beaches, wave-cut platforms, coastal dunes and tombolos. The inactivemarine units determined were: palaeo cliffs, coastal lagoons and raised beaches. In themorphological modeling area have involved reactivation tectonic processes in conjunctionwith changes in sea level. The structures of positive and negative relief would be linked totectonic reactivation occurred during the Pleistocene. The Holocene initiate with atransgressive cycle; towards the middle Holocene around 6000 yr BP began a regressivecycle leaving raised beaches, boulder beds and coastal lagoons in sedimentary silting process.One last ingressive cycle between 4000 and 2000 BP have modeled some bays, beach ridges,wave-cut platforms and notches originated at the foot of the cliffs. The presence of a step inthe abrasion wave-cut platforms may be an index of sea level fall and a current period ofstabilization. At present, marine erosion is favored in jointed wave-cut platforms.Sedimentary material generated by marine erosion (sand and pebbles) are transported by theaction of longshore drift. To the northern sector of the study area the beaches are open typewhile southward pocked beaches are dominant. Cliff top dunes occur in bays closed by cliffs.
La Colección de huevos "Ronald Runnacles" del Museo de La Plata: historia y material depositado
Authors: Segura Luciano N. , Bogado Natalia R. , Darrieu Carlos A. , Montalti Diego
Published: May 2024

We present information about the private egg collection "Ronald Runnacles" as part of the Ornithological Collection at the Museo de La Plata (División Zoología Vertebrados, Facultad de Ciencias Naturales y Museo, Universidad Nacional de La Plata). Mr. Ronald Runnacles was an argentine naturalist who lived in General Lavalle, Buenos Aires province. He devoted his short life to the study of birds, mainly waterbirds of central-east Argentina. He started very young to collect eggs in General Lavalle for his private egg collection, but his fieldwork was stopped prematurely at 26 years old after called of the British government to join in the World War II in 1941. He died a year later at the battle fronts in Holland. His family donated years after the complete egg collection to the Museo de La Plata, which generated a significant contribution to the existing egg collection, as it includes valuable information about 17 orders and 44 families of birds that nest in central-east Argentina.
Características das teses defendidas nos PPGs stricto sensu de Desenvolvimento Regional na área PLURD
Authors: Brum Argemiro Luis , Dill Rodrigo Prante
Published: May 2024

O objetivo deste estudo foi identificar as características da produção científica das teses defendidas nos Programas de Pós-Graduação (PPGs) Stricto Sensu brasileiros de Desenvolvimento Regional, área de concentração do Planejamento Urbano Regional e Demografia (PLURD) da CAPES. A pesquisa exploratória e descritiva foi realizada por meio de análise documental e de conteúdo, com abordagem quantitativa. Os dados foram coletados nas Plataformas Sucupira, Lattes e nos sites dos PPGs. Os resultados da pesquisa mostram que, desde a primeira tese, defendida no ano de 2005, houve crescimento substancial e constante do volume até o ano de 2020. Constatou-se concentração de teses defendidas em instituições de natureza comunitária (59,41%) e localizadas na região Sul (77,49%) do país. Quanto ao perfil dos autores, 54,98% são do gênero masculino, 70,29% concluíram mestrado em Desenvolvimento, Administração, Economia, Engenharia e Educação e 71,33% são graduados em Administração, Ciências Econômicas, Ciências Contábeis, Direito e Pedagogia. Em relação à produção científica, o conjunto de autores foi responsável pela publicação de 6.252 trabalhos em eventos, 3.013 artigos em periódicos científicos, 1.450 capítulos de livros e 575 livros publicados ou organizados. Verificou-se também alta produtividade de um grupo menor de docentes, no entanto, essa produtividade não se ajusta à Lei de Lotka. Ao observar as temáticas mais prestigiadas nos títulos e as palavras-chave mais frequentes, percebeu-se aderência ao tema Desenvolvimento Regional.
Palavras-chave: Desenvolvimento Regional; Teses; Bibliometria; PLURD.
Transplantation of Donor–Recipient Chimeric Cells Restores Peripheral Blood Cell Populations and Increases Survival after Total Body Irradiation-Induced Injury in a Rat Experimental Model
Authors: Siemionow Maria , Cyran Małgorzata , Stawarz Katarzyna , Chambily Lucile , Kusza Krzysztof
Published: May 2024

Current therapies for acute radiation syndrome (ARS) involve bone marrow transplantation (BMT), leading to graft-versus-host disease (GvHD). To address this challenge, we have developed a novel donor–recipient chimeric cell (DRCC) therapy to increase survival and prevent GvHD following total body irradiation (TBI)-induced hematopoietic injury without the need for immunosuppression. In this study, 20 Lewis rats were exposed to 7 Gy TBI to induce ARS, and we assessed the efficacy of various cellular therapies following systemic intraosseous administration. Twenty Lewis rats were randomly divided into four experimental groups (n = 5/group): saline control, allogeneic bone marrow transplantation (alloBMT), DRCC, and alloBMT + DRCC. DRCC were created by polyethylene glycol-mediated fusion of bone marrow cells from 24 ACI (RT1a) and 24 Lewis (RT11) rat donors. Fusion feasibility was confirmed by flow cytometry and confocal microscopy. The impact of different therapies on post-irradiation peripheral blood cell recovery was evaluated through complete blood count, while GvHD signs were monitored clinically and histopathologically. The chimeric state of DRCC was confirmed. Post-alloBMT mortality was 60%, whereas DRCC and alloBMT + DRCC therapies achieved 100% survival. DRCC therapy also led to the highest white blood cell counts and minimal GvHD changes in kidney and skin samples, in contrast to alloBMT treatment. In this study, transplantation of DRCC promoted the recovery of peripheral blood cell populations after TBI without the development of GVHD. This study introduces a novel and promising DRCC-based bridging therapy for treating ARS and extending survival without GvHD.
Exploratory Study on Teacher Team Building of Mental Health Education Programs in Colleges and Universities in the Context of Information Technology
Authors: Jiang Xianghui
Published: May 2024

With the advancement of the information age, the discourse on mental health education is expanding. Building teacher teams for mental health education programs is an essential aspect that has attracted widespread interest. This study investigates the pivotal role of constructing a mental health curriculum focused on cognitive thinking, emotional sensitivity, and willpower. It also establishes the necessary standards for creating a teacher team dedicated to mental health education. Taking College S as a case study, the effectiveness of the mental health education teaching team is evaluated, with suggestions provided for further development in similar educational settings. The overall mean value of mental health education teacher team construction in the sample colleges is 3.47, among which, the mean value of “training management” is 3.14, which is not satisfactory. S colleges and universities have more severe structural imbalance and teacher development problems when it comes to training management, with mean values of 2.02 and 2.65 for the number of training and the training effect, respectively. Through the study, it is found that the optimization of the construction of the teacher team for mental health education courses in colleges and universities needs to be started from the cultivation and management of teachers and that the improvement of the conditions of the school and the environment of the development of human resources is the first link, so as to solve the problem of the construction of the teacher team of mental health education courses in the actual practice. Mental Health Education Program teachers are experiencing team-building issues.
Intelligent e-commerce logistics path planning and scheduling optimization combined with graph theory
Authors: Li Rui , Wu Lan
Published: May 2024

Solving logistics and distribution problems through intelligent algorithms can strongly improve the market core competitiveness of e-commerce logistics enterprises. This paper maps the distribution station location in e-commerce logistics to graph theory nodes and establishes the logistics path planning model. Then use the binary group to improve the Dicoscher algorithm to solve the planning of the e-commerce logistics path, and through the genetic algorithm to solve the objective function of the cost and other factors in the logistics scheduling to achieve the logistics cost concessions, and ultimately build the e-commerce logistics planning and scheduling optimization strategy. The analysis of the application effect of constructing the path planning and optimization strategy finds that the distribution distance of the logistics path solved by this paper’s algorithm under the condition of 20 distribution points is 80.47km shorter than that of the ant colony algorithm. The total cost spent on the path is 799.75 yuan on average, and the time consumed is only 62.14s. Meanwhile, it has been found that after implementing the path planning strategy, the total working time of the dispatcher decreases by 28.6 hours, and the pressure of the job significantly decreases. The e-commerce logistics path planning and scheduling optimization method designed in this paper provides an effective solution for cost-saving in logistics enterprises.
Optimization of logistics intermodal scheduling model based on counting and efficiency in the context of low carbon economy
Authors: Liu Hao
Published: May 2024

It is of great significance to study how to reasonably allocate materials and optimize distribution routes in the context of a low-carbon economy to improve the efficiency of logistics work. This paper constructs a low-carbon economy logistics intermodal dispatch optimization model on the basis of the counting and efficiency model. It carries out the optimization of transport routes under the consideration of logistics transportation externality cost. Its total generalized transportation cost is minimized as the goal of optimization modeling, establishing the cargo transportation operation flow, and outputting the logistics flow distribution and path optimization scheme under the whole integrated transportation network. The multimodal transportation optimization model is solved by using triangular fuzzy theory to select the optimal scheduling scheme, and simulation analysis is carried out using an earthquake-stricken area as an example. The results show that the comprehensive satisfaction degree of the disaster victims of the rescue plan obtained by the proposed intermodal logistics scheduling optimization model is 0.9022. At the same time, the value of GAP obtained by this paper’s method for optimization in a multi-scenario deterministic environment is smaller than that of the traditional method by 0.002~0.068, and the running time of this paper’s method is less than that of the conventional algorithm by 81.9~1400.5 s. The study verifies the validity of the proposed intermodal logistics scheduling model and is useful for improving logistics dispatching and path optimization. The study confirms the effectiveness of the model proposed in this paper, which has some applications and promotion potential for improving logistics deployment and other auxiliary decision-making.
Fine-Grained Emotional Calculation of Emotional Expression in Modern Visual Communication Designs
Authors: Zhang Yimiao , Xie Linyun , Ji Hongfang
Published: May 2024

In the context of the information age, mining for emotions has become a popular topic today, and deep learning plays an important role in the task of sentiment analysis. In this study, we propose a LE-CNN-MBiLSTM fine-grained sentiment analysis model for the task of fine-grained sentiment computation for emotional expression in visual communication design. The model combines the ERNIE model and introduces a parallel CNN and dual-channel BiLSTM structure, which first mines multiple local key features in the text with CNN, then extracts the contextual semantics with BiLSTM, and extracts the fusion features by CNN-BiLSTM. Fine-grained sentiment analysis tasks are well-served by the model in this paper, with an accuracy of 93.58% and a loss function value of 0.18, respectively. Using the model to analyze the corpus of comments on visual communication design works, positive and negative emotions dominated the samples, each accounting for 50%, and the expression of sadness was particularly prominent. The model in this paper can be applied in fine-grained sentiment computation for visual communication design and can be migrated to other natural language processing domains, thus providing a new idea for the construction of network models for text sentiment analysis.
Research on Optimizing the Teaching Reform of College Opera Courses Based on Scaffolding Theory
Authors: Wang Youjing , Miao Rong , Hou Yongguang
Published: May 2024

Chinese opera has a long history and unique charm and is an important carrier of traditional Chinese culture. So, the teaching requirements for opera courses have gradually increased to ensure the vigorous development and inheritance of opera culture. To adapt to the reform and development of opera course teaching, this paper analyzes the basic concepts of scaffolding theory. It constructs an optimized framework for teaching modes based on scaffolding theory. On this basis, combined with the needs of college opera courses, it builds the framework of the opera teaching system based on scaffolding theory. It proposes the unique “modern teacher-apprentice system” based on the studio for the teaching mode of opera. Through the empirical analysis of teaching opera courses in colleges and universities based on the scaffolding theory, it can be seen that in the teaching of nine types of opera, including Beijing opera, Sichuan opera, Gui opera, Kunqu opera, Huangmei opera, Yueju opera, Cantonese opera, Yu opera, and Flower Drum Opera, the learning effect of this paper’s teaching of opera courses improves by 0.37~1.1 points compared with that of the traditional teaching of opera. The student’s ability in all dimensions improves by an average of 1.087 points. In addition, during the analysis of teaching satisfaction, the average score of learning satisfaction was 1.037, indicating that students acknowledged the reform of teaching opera in this paper. This study has significant results in the reform of teaching opera courses, which provides a reference value for the reform of opera courses in colleges and universities.
Effective application of multimodal discourse analysis in Russian translation
Authors: Wu Yanan , Zhang Xiaohui , Zhang Duo
Published: May 2024

Based on ELAN multimodal discourse analysis software, this paper constructs a multimodal Russian translation model based on the machine translation model with visual grammar and multimodal discourse analysis as the theoretical basis. To address the issue of missing semantics caused by insufficient input information at the source of real-time translation, the model uses images as auxiliary modalities. The real-time Russian translation model is constructed using the wait-k strategy and the concept of multimodal self-attention. Experiments and analysis are carried out on the Multi30k training set, and the generalization ability and translation effect of the model are finally evaluated with the test set. The results show that by applying multimodal discourse analysis to Russian translation, the three translation evaluation indexes of BLEU, METEOR, and TER are improved by 1.3, 1.0, and 1.4 percentage points, respectively, and the phenomenon of phantom translation is effectively reduced.
A Study on the Application of Service Design Thinking in Enhancing User Experience in Digital Villages - Based on KANO-AHP Modeling
Authors: Li Zehui
Published: May 2024

Based on the KANO model, this paper identifies 27 basic demand items of digital rural services under service design thinking and constructs a rural digital service quality evaluation index system. At the same time, to determine the size of the impact of different demand items on the user’s satisfaction, the weights of all demand items are calculated using the improved AHP hierarchical analysis method. Finally, an empirical analysis is carried out to estimate the overall satisfaction of users based on the evaluation system, on the basis of which the service quality expectations and perceptions are compared respectively. The service quality is evaluated by using the theory of difference in expectations. A regression analysis is also carried out on the relationship between service quality and user satisfaction to explore the degree of influence of service design thinking on digital rural services. The results show that the overall satisfaction is between (3.8 and 4.2), and the mean difference in perceived expectation for each dimension is between −0.46 and −0.276. None of the p-values are significant. This study enriches the research theories and research methods in the field of service design thinking and digital village services and provides theoretical references and methods for subsequent analyses.
Construction of Quality Evaluation System for Blended Physical Education Teaching in Colleges and Universities
Authors: Tang Kai
Published: May 2024

The evaluation of the quality of blended physical education teaching in colleges and universities, as a part of the evaluation of university education, is of great significance in guiding the construction and development of blended physical education teaching. This paper examines the evaluation system for hybrid physical education teaching quality in colleges and universities using the principle of evaluation system construction. There are 4 primary indicators, 11 secondary indicators, and 31 tertiary indicators in the system. By using the fuzzy comprehensive evaluation method to calculate the weights of each level 1 index and level 2 index, the weights of each index are judged to account for the proportion. The improved BP neural network algorithm was used to score the indicators. Through empirical analysis, it was found that the weight share of teaching effect, teaching implementation, teaching background, and teaching implementation were 0.33, 0.27, 0.21, and 0.19, respectively, and the teaching effect accounted for the largest share. The total evaluation score was 3.9. The scores of each level indicator in descending order are teaching background (4.13), teaching implementation (4.07), teaching effect (4.05), and teaching setup (3.37). The quality of blended physical education teaching in Colleges and Universities of S is better from the overall point of view.
From data to design: AI practice in design decisions
Authors: Du Wei
Published: May 2024

Facing the increasingly fierce market competition, enterprises need to make correct marketing decisions. Based on the decision support system, cloud server, and SOA framework, the article establishes an enterprise intelligent marketing decision-making system by combining the TCP/IP communication protocol and designing a data warehouse to store the marketing decision-making data. The Apriori algorithm in association rules is used to generate marketing rules to assist marketing decision-making, the marketing data is classified using the random forest algorithm, and the sparrow search algorithm optimizes the parameters of the random forest model. In practice, simulation experiments were designed to analyze the performance of the random forest model and the marketing decision-making system, and they were applied to the marketing decision-making example of the e-commerce platform. It was found that the AUC value obtained when the number of binary trees of the random forest model was 75 was 0.836, and the number of conflicts per second of the system was only 0.41 when the number of concurrent users was 5*104. The use of association rules resulted in eight marketing decisions, with the highest probability of user purchase prediction reaching 98.54%. Based on the intelligent marketing decision system, it can help decision-makers better analyze market changes and provide decision support for enterprises to develop scientific and reasonable marketing strategies.
Mining Text Value in Japanese Translation Teaching Based on KH Coder Text Data
Authors: Zhang Xiaoke
Published: May 2024

Vocabulary serves as the cornerstone of Japanese translation instruction, with the identification of high-frequency terms within educational texts yielding significant pedagogical insights. This study employs the KH-Coder software to extract feature words frequently used in Japanese translation teaching materials. Through a combination of covariate network analysis, sentiment analysis, and hierarchical clustering, the paper delves into the intrinsic textual value of these educational resources. Furthermore, it integrates both generative and discriminative approaches to conduct dependency parsing of Japanese translation. By incorporating probabilistic functions, the methodology enhances contextual understanding, ensuring that each annotation unit within a sentence is optimally tagged. Analysis of the CGTT-35 corpus through KH-Coder reveals a list of the top 50 high-frequency words in Japanese translation teaching, each appearing over 100 times. This enables students to use these frequent words and sentence structures as cues to master common phrases and familiarize themselves with core content. The approach has proven effective in enhancing students’ receptivity to Japanese translation instruction and their comprehension capabilities, offering valuable implications for teaching strategies.
Construction of a digital library of vocal music resources based on second-order data decomposition algorithm
Authors: Wang Chao , Guo Anni , Pan Yu , Shi Wei
Published: May 2024

In this paper, in order to solve the modal aliasing problem of the EMD decomposition algorithm and EEMD decomposition algorithm and optimize the vocal audio data decomposition on the basis of the adaptive VMD algorithm, the EEMD-VMD second-order data decomposition algorithm is proposed to decompose the digitized time series of vocal music resources, and to update the construction of the digital library of vocal music resources. Combined with the decomposition steps of the second-order data decomposition algorithm in the vocal resources digitized library, the overall framework of the vocal resources digitized library is designed and constructed with the main line of vocal resource types and the secondary line of content categories. Design the experimental environment, preprocess the vocal audio signal features, explore the modal number K value size of the EEMD-VMD second-order data decomposition algorithm, analyze the vocal audio denoising performance of the algorithm, and compare the correlation coefficients of the IMF components of the decomposition algorithms with the original audio signals. Explore the second-order data decomposition algorithm’s emotional classification of vocal resources and the performance of vocal signal enhancement, add noise sources, and use subjective and objective evaluation methods to assess the quality of vocal PESQ and STOI after decomposition processing. The EEMD-VMD second-order data decomposition algorithm performs the most prominently in street noise environments. The enhancement results in the case of signal-to-noise ratios of -5, -10, and -15 are 3.59, respectively, 4.36, 4.29, and the mean value of the enhancement performance reaches 4.08. The second-order data decomposition algorithm’s precise processing of vocal resources provides better quality digital resources for the construction of a digital library of vocal resources.
Exploring the Path of Village Protection and Renewal Strategy Based on the Maximum Information Entropy Model in the Context of Rural Revitalisation
Authors: Zhao Yufeng , Zhang Wenjun
Published: May 2024

A comprehensive and systematic view and solution to the protection and renewal of traditional villages can help actively promote and implement the strategy of rural revitalization. This paper constructs a village protection and renewal evaluation system based on the maximum information entropy model, utilizes the entropy weight method to build the index weight evaluation matrix, and introduces the confidence factor to correct the index weights, realizing the combination of the system. Then, based on the linear weighting method to carry out a comprehensive assessment of village protection and renewal development, and based on the assessment results to formulate a personalized village protection and renewal strategy, and the feasibility analysis of the strategy with the village of T city. The results show that village protection and renewal in T city villages generally indicate an upward trend from 2016 to 2023, and the comprehensive evaluation index reached a peak of 0.3227 in 2023. In the case study, the linear regression equations fitted to the scattering points of the uptown residential area villages and the entire T city villages’ axes intersect with a difference in slopes of 14.5123. The angle of the regression line continues to increase in comparison with 2016, indicating that the role of traditional village protection planning is significant. Village protection planning plays an important role in verifying the effectiveness of the formulated village protection and renewal strategy, which can promote the development of village regional characteristics for the good.
The Role and Impact of Social Media Data Analysis in Art Event Planning
Authors: Chen Jiahui
Published: May 2024

The proliferation of rich social data sources in the big data era offers a valuable opportunity for studying the planning of art events. In this study, we harvested data on art activity planning from social media via microblogging API calls, converting and analyzing this data through a novel methodological framework. Specifically, we employed the Sentiment-Enhanced Deep Graph Convolutional Network (SEDGCN) model to extract and identify sentiment features associated with art activity planning from social media datasets. Sentiments were categorized using the softmax function. Subsequently, our analysis integrated these findings into the art activity planning process. By conducting a correlation analysis between positive and negative sentiments on social media and various elements of art activity planning, we found a significant correlation (p < 0.005) with all six examined elements of art planning. Furthermore, an effectiveness analysis conducted post-implementation of the planned art events revealed predominantly positive emotional responses among attendees. Notably, 325 art professionals reported a sense of healing as a result of their participation. The methodology proposed in this paper for analyzing social media data effectively captures audience emotions, thereby assisting planners in crafting art events that resonate with and fulfill the emotional needs of the audience.
Application and Performance Evaluation of Superelastic Shape Memory Alloys in Building Vibration Isolation Systems
Authors: Chen Xiaoqin , Zheng Haibin
Published: May 2024

In this study, the intrinsic model of Shape Memory Alloys (SMA) is employed to facilitate a comprehensive analysis of the phase transition process, encapsulating the evolution of stress and strain across varying temperatures. The martensite volume fraction is quantitatively described using a cosine function, culminating in the formulation of a cosine-type SMA phase transition equation. This model enables the simulation of superelasticity, shape memory effects, and the elastic-thermal behavior of SMA by varying the loading conditions. This approach allows for an assessment of how different material parameters influence SMA properties. Notably, the results highlight that the heating temperature significantly affects the hyperelastic energy dissipation properties of SMA. The energy dissipation coefficient increased by 15.3% when the temperature was increased from 350 to 550 and decreased by 36.3% when the temperature was increased from 550 to 650. The peak values of top acceleration and interstorey displacement of the SMA-isolated structure were 0.826 m/s² and 0.641 mm for EL-centro waves at 7+ seismic intensities. The values of non-isolated were 1.151 m/s², 0.856 mm. 10 ground shaking, the SMA braced structure relative to the steel frame structure on the maximum peak inter-story displacement angle and the structure of the top layer of the permanent displacement, have different degrees of reduction. Therefore, the SMA material possesses good damping performance in the seismic isolation system.
Intelligent Detection of Robotic Arm Roller Wear Based on Combined DWAE and GRUNN Models
Authors: Dong Yan , Yuan Zheng
Published: May 2024

Long time and high intensity work makes the wear of the roller of the robotic arm increase gradually, which will affect the performance and service life if not regularly overhauled. In this paper, the sensor is used to obtain roller data from the mechanical arm, and the roller wear characteristics are extracted by combining them with the LSTM model. Based on the autoencoder, the wavelet function is introduced to establish a deep wavelet autoencoder, and the DWAE-GRUNN model is established by combining the gated recurrent unit neural network, which is used for the intelligent detection of the wear of the roller of the robotic arm. The model’s classification performance can be improved by using the CTC loss function, and the parameters can be optimized using the sparrow search algorithm. For the application of the DWAE-GRUNN model in the intelligent detection of roller wear of mechanical arms, this paper validates the model based on the aspects of performance, coefficient selection, and detection results. It is found that the average correct detection rate of the model in this paper is 95.97%, and the optimal accuracy is obtained when the weight attenuation coefficient of the DWAE structure is 0.005. The friction force changes inversely with the degree of smoothness after 3.1h of the detection time of the robotic arm roller, and the stiffness, cumulative large abrasive grains, and cumulative small abrasive grains also show significant changes. Using the DWAE-GRUNN model, changes in the wear of the robotic arm roller can be obtained, providing data support for timely maintenance.
A Perspective on the Current Situation of Children’s Education and Teachers’ Moral Cultivation Combined with Decision Tree Algorithm
Authors: Li Juan
Published: May 2024

The enhancement of children’s education quality necessitates a high level of teacher moral literacy. This paper employs data mining techniques to elaborate on the Classification and Regression Tree (CART) model within logistic regression and decision tree algorithms. Data pertinent to elementary school education were collected via questionnaires, followed by data cleaning and segmentation. The parameters of the CART model were optimized using a Bayesian algorithm, and its efficacy was validated through a dataset to support the exploration of factors influencing the developmental level of children’s education. Additionally, data regarding teachers’ moral literacy were gathered and analyzed using binary logistic regression within the logistic regression framework. The analysis revealed that the accuracy of the CART decision tree model reached 90%, with the error converging to zero at 50 trees. Key determinants such as willpower and communication abilities in children’s education were influenced by exercise duration, time spent in interest classes, gender, and parents’ educational levels. The mean score for teachers’ moral literacy was 4.349±0.465. Notably, teachers with low salary satisfaction exhibited a moral literacy level that was only 0.517 times that of their counterparts with high salary satisfaction. Establishing a scientifically sound and reasonable salary management system is crucial. Such a system can ignite teachers’ enthusiasm for teaching, substantially enhancing their moral literacy, which in turn positively impacts the level of children’s educational development.
Intercultural education and social innovation approaches as answers to societal challenges of migration
Authors: Spulber Diana , Nesterova Marja
Published: May 2024

Social reality is always in the process of changing. Globalisation has made these changes more abrupt with a more powerful impact. Migrations break one equilibrium and then create another. As a result, social reality is constantly facing new challenges. With ever-increasing immigration, social reality does not have time to settle an equilibrium that has to cope with significant changes. These situations can lead to social unrest. Both social innovations and intercultural education are constructive responses to these challenges. The manuscript aims to analyse how intercultural education and social innovation can be an opportunity to contribute to making societies more sustainable and cohesive.
Gender freedom through picture news. A visual - socio graphic analysis
Authors: Buoncompagni Giacomo
Published: May 2024

For two years now, the Taliban have regained control of the “new” Afghanistan. The images broadcast by Al-Jazeera of Islamic fighters inside the government building, of women fleeing, of violence at Kabul airport made this even clearer. The apparent openness to the press soon proved to be a fleeting veneer of democracy, and a sunset period for human rights began.

With the advent of the new Taliban government, the figure of the woman was relegated to the stereotype of wife and mother, while freedom of the press began to clash with radical Islamic thought. The panorama for Afghan women remains uncertain, and it remains to be understood to what extent their capacities, on the one hand, and the external actions of the international community, on the other, can influence the protection of rights and the improvement of conditions for women.

The work presented here traces the main critical aspects of the relationship between the media, women journalists, and gender equality in Afghanistan from two perspectives: the socio-historical and the socio-visual. Historical facts and international journalistic images accompany the analysis...
The Power of Small Talk Discourse as Mitigating Conflict in Different Religious Communities in Ntaram
Authors: Robot Marselus
Published: May 2024

Objective: This research analyzes explicitly the tiny talk (fatik) discourse used by the Ntaram (Manggarai) Flores community as a verbal force to mitigate conflict in plural communities (different religions) in Ntaram, Manggarai-Flores.
 
Method: This research chooses qualitative (interpretive) because the data collected and analyzed is in words, phrases, clauses, or sentences. Data was collected through in-depth interviews with informants, which were determined purposively. In addition, the observation method is used to observe the daily communication of the plural community in Ntaram. Data were validated through (1) data source triangulation and method triangulation. (2) Checking validity through Focus Group Discussions involving key sources.
 
Results and Discussion: Small talk (fatik) in communicating between people of different religions in Ntaram: (1) Small talk in the form of greetings. Ntaram people call "ite" which means we (first person plural personal pronoun). The word addresses the speech partner (second person personal pronoun). (2) Small talk in the context of greetings, such as nia ngaok, which means "noisy." These pleasantries explain sociologically that the social behavior of the Ntaram people is cheerful and happy to accept anyone. (3) Typical terms of respect related to religion are ata sili mai wae and ata le mai tana golo. Ata silimai wae means people who come from the coast or riverbanks. (4) Ethics of Interrupting Conversations. Ntaram people have small talk about interrupting conversations ethically through small talk such as eta ulu keta ite and no ramping dite. Eta ulu keta means that I uphold your opinion above my head. These four types of pleasantries are most productively used in the context of building brotherhood amidst religious and ethnic differences in Ntaram.
 
Recommendations: The research findings recommend that (1) it is necessary to revitalize the small talk discourse in Ntaram in the form of content taught in schools. Thus, endemic inheritance is carried out well. (2) further research is needed regarding the antecedent factors that influence the harmony of multiethnic society in Ntaram. (3) Research in other areas must reveal how multicultural societies mitigate social conflict through small talk.
Challenges of Access to Treatments: The Case Of Laron Syndrome and the Fight For Social Inclusion
Authors: Vasco-Toapanta Gabriel Alejandro , Guanoluisa-Vasco Alisson Mayerly , Ochoa-Núñez Gabriela Alejandra , Vasco-Toapanta Cristhian Santiago
Published: May 2024

Objective: To identify and disseminate the challenges faced by patients with Laron syndrome in accessing Mecasermin treatment in Ecuador.
 
Theoretical Framework: Laron syndrome is a rare genetic disease characterised by metabolic disorders such as hypoglycemia and severe growth retardation. Treatment with Mecasermin improves growth and thus quality of life for those affected. Ecuador has the largest Laron syndrome population in the world, extensively studied contributing to understanding the peculiarities and needs of these patients.
 
Method: Official documents, letters, news articles from national and international press, and legal and medical databases were reviewed. Legal and medical advice was sought for this study.
 
Results and Discussion: Over approximately ten years, a group of parents pursued national and international legal action to provide their children with the only scientifically validated treatment for this syndrome. However, authorities denied these requests without justification. It was only after the Inter-American Commission on Human Rights report the admissibility of this case that Ecuador began administering medication to children with Laron syndrome.
 
Research Implications: Increase public awareness of this rare disease and barriers faced by those affected, fostering empathy, and understanding of patients' needs.
 
Originality/Value: Identification of specific barriers to accessing treatment, while the quality of life of patients and their families is affected.
Total Quality Management in the Service Sector: A Case Study in a Water Supply Company
Authors: Souza Warton da Silva , Silva Mizael de Sousa , Santos Carla Daniele dos
Published: May 2024

Objective: Analyze the benefits of adopting total quality in a water supply company, aiming to improve service quality and customer satisfaction.
 
Theoretical Framework: A literature review was conducted as a basis for understanding the key concepts of TQM, the dimensions of service quality, and the essential elements for the successful implementation of TQM in the context of the analyzed company.
 
Method: The research is classified as a case study with an applied qualitative approach. To achieve the proposed objectives, techniques such as documentary research, literature review, semi-structured interviews, and direct observation were used.
 
Results: The analysis of the results demonstrated that the water supply company faces significant challenges regarding service quality. From the TQM approach, opportunities for improvement were identified in different areas of the organization, both in the reliability of the services' outcomes, including the water treatment process and maintenance of the distribution network, and in customer service.
 
Research Implications: The research suggests that the water supply company should adopt TQM as a strategy to improve service quality, promote customer satisfaction, address internal challenges, and seek constant improvement.
 
Originality/Value: The study explores the application of TQM in a public service context, providing practical guidance and insights to improve service quality in a water supply company, with implications that may extend to similar organizations seeking to enhance their services and processes.