bluuebunny/crossref_metadata_2025_split huggingface dataset:
Google Trends Assessment of Keywords Related to Smoking and Smoking Cessation During the COVID-19 Pandemic in 4 European Countries: Retrospective Analysis
Authors: Jagomast Tobias , Finck Jule , Tangemann-Münstedt Imke , Auth Katharina , Drömann Daniel , Franzen Klaas F 
Published: May 2024

Background
Smoking is a modifiable risk factor for SARS-CoV-2 infection. Evidence of smoking behavior during the pandemic is ambiguous. Most investigations report an increase in smoking. In this context, Google Trends data monitor real-time public information–seeking behavior and are therefore useful to characterize smoking-related interest over the trajectory of the pandemic.

Objective
This study aimed to use Google Trends data to evaluate the effect of the pandemic on public interest in smoking-related topics with a focus on lockdowns, vaccination campaigns, and incidence.

Methods
The weekly relative search volume was retrieved from Google Trends for England, Germany, Italy, and Spain from December 31, 2017, to April 18, 2021. Data were collected for keywords concerning consumption, cessation, and treatment. The relative search volume before and during the pandemic was compared, and general trends were evaluated using the Wilcoxon rank-sum test. Short-term changes and hereby temporal clusters linked to lockdowns or vaccination campaigns were addressed by the flexible spatial scan statistics proposed by Takahashi and colleagues. Subsequently, the numbers of clusters after the onset of the pandemic were compared by chi-square test.

Results
Country-wise minor differences were observed while 3 overarching trends prevailed. First, regarding cessation, the statistical comparison revealed a significant decline in interest for 58% (7/12) of related keywords, and fewer clusters were present during the pandemic. Second, concerning consumption, significantly reduced relative search volume was observed for 58% (7/12) of keywords, while treatment-related keywords exhibited heterogeneous trends. Third, substantial clusters of increased interest were sparsely linked to lockdowns, vaccination campaigns, or incidence.

Conclusions
This study reports a substantial decline in overall relative search volume and clusters for cessation interest. These results underline the importance of intensifying cessation aid during times of crisis. Lockdowns, vaccination, and incidence had less impact on information-seeking behavior. Other public measures that positively affect smoking behavior remain to be determined.
Anarchism & Social Work​
Authors: Sawatsky Alexander W. 
Published: May 2024

Current progressive and radical approaches to social work tend to reflect Marxist views of social problems and their solution. A critique of classical and other non-autonomous Marxist views of authority and structure leads the reader to consider moving beyond hierarchies to considering anti-authoritarian perspectives for social work. The purpose of this paper is to introduce the reader to the history and theory of anarchist thought. I make it clear that I am not speaking from a position of expertise nor claim authority here but encourage further dialogue. This is explicitly articulated as this paper intends to inform and promote discussion and thought on an anarchist approach to social work.
Exploring site-specific carbon dioxide removal options with storage or sequestration in the marine environment - The 10 Mt CO2 yr-1 removal challenge for Germany
Authors: Yao Wanxuan , Morganti Teresa , Wu Jiajun , Borchers Malgorzata , Anschütz Anna-Adriana , Bednarz Lena-Katharina , Bhaumik Amrita , Boettcher Miranda , Burkhard Kremena , Cabus Tony , Chua Allison Sueyi , Diercks Isabel , Mario Esposito , Fink Michael , Fouqueray Mondane , Gasanzade Firdovsi , Geilert Sonja , Hauck Judith , Havermann Felix , Hellige Inga , Hoog Sven , Jürchott Malte , Kalapurakkal Habeeb Thanveer , Kemper Jost , Kremin Isabel , Lange Isabel , Lencina-Avila Jannine Marquez , Liadova Margarita , Liu Feifei , Mathesius Sabine , Mehendale Neha , Nagwekar Tanvi , Philippi Miriam , Luz Gustavo Leite Neves da , Ramasamy Murugan , Stahl Florian , Tank Lukas , Vorrath Maria-Elena , Westmark Lennart , Wey Hao-Wei , Wollnik Ronja , Wölfelschneider Mirco , Bach Wolfgang , Bischof Kai , boersma maarten , Daewel Ute , Fernández-Méndez Mar , Geuer Jana , Keller David Peter , Kopf Achim J. , Merk Christine , Moosdorf Nils , Oppelt Natascha Maria , Oschlies Andreas , Pongratz Julia , Proelss Alexander , Rehder Gregor , Rüpke Lars Helmuth , Szarka Nora , Thrän Daniela , Wallmann Klaus , Mengis Nadine 
Published: May 2024

Marine carbon dioxide removal (mCDR) and geological carbon storage in
the marine environment (mCS) promise to contribute to the mitigation of
global climate change in combination with drastic emission reductions.
However, the implementable potential of mCDR and mCS depends, apart from
technology readiness, also on site-specific conditions.
In this paper, we explore different options for mCDR and mCS, using the
German context as a case study. We challenge each option to remove 10 Mt
CO2 yr-1, which accounts for 8-22% of projected hard-to-abate and
residual emissions of Germany in 2045. We focus on the environmental,
resource, and infrastructure requirements of individual mCDR and mCS
options at a specific site, within the German jurisdiction when
possible. Furthermore, we discuss main uncertainty factors and research
needs, and, where possible, cost estimates, expected environmental
effects, and monitoring approaches.
In total, we describe ten mCDR and mCS options; four aim at enhancing
the chemical carbon uptake of the ocean through alkalinity enhancement,
four aim at enhancing blue carbon ecosystems’ sink capacity, and two
employ geological off-shore storage. Our results indicate that five out
of ten options would potentially be implementable within German
jurisdiction, and three of them could potentially rise to the challenge.
This exercise provides a basis for further studies to assess the
socio-economic, ethical, political, and legal aspects for such
implementations.
The Cult of the Horse in the Traditional Culture of the Buryats
Authors: Дашиева Лидия Данииловна 
Published: May 2024

Впервые репрезентирован культ коня в бурятской мифологии, религии, традиционной медицине и культуре. В жизненном пространстве кочевников лошадь была лучшим другом и спутником человека, сопровождая его с раннего детства и до глубокой старости. В ритуально-обрядовом комплексе монгольских народов культ коня имел сакральное значение, начиная с ритуалов посвящения трех- и семилетних мальчиков в наездники и охотники и заканчивая похоронно-погребальными обрядами. Семантика культа коня раскрывается на разных контекстуальных уровнях: в шаманской мифологии, религии, ритуалах, традиционной культуре, бурятском круговом танце ёхор, музыкальном инструментарии монголов и бурят. Особое значение приобретает исследование феномена культа коня в контексте генезиса, конструкции, сакральности монгольского музыкального инструмента моринхура и бурятского хура. Глубинные мифологические и религиозные представления бурят и монголов о коне отражаются в легендах, улигерах, западнобурятских похоронных песнях үхэлэй дуунууд, круговом танце ёхоре, а также в изучении семантики моринхура и хура в контексте звуковой картины мира как информационной модели шаманских ритуалов. Пунктирно проведены параллели, отражающие культ коня в традиционной культуре тюркских и монгольских этносов.
This article presents the cult of the horse in Buryat mythology, religion, traditional medicine, and culture for the first time. In the nomads’ habitat, the horse was man’s best friend and companion, accompanying him from early childhood to old age. In the ritual and ceremonial complex of the Mongolian peoples, the horse cult had a sacred meaning that began with the initiation rites of the three- and seven-year-old boys to become horsemen and hunters and ended with the funeral and burial rites. The semantics of the horse cult can be found in various contexts: in shamanic mythology, religion, rituals, traditional culture, the Buryat circle dance – ‘yehor,’ and the musical instruments of the Mongols and Buryats. Of particular importance is the study of the phenomenon of the horse cult in connection with the origin, construction, and sacredness of the Mongolian musical instrument morinhur, the analog of which is the Buryat musical instrument khur. The deep mythological and religious ideas of the Buryats and Mongols about the horse are reflected in legends, uligers, West Buryat funeral songs of Uhelei duunuud, the circle dance of yehor as well as in the examination of the semantics of morinhura/khura in the context of the sound image of the world as an information model of shamanic rituals. Dotted parallels reflect the horse cult in the traditional culture of the Turkic and Mongolian ethnic groups.
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.