bluuebunny/crossref_metadata_2025_split huggingface dataset:
Peculiarities of children’s health status after acute respiratory viral infections: a look at the problem, ways to solve it
Authors: Marushko Yu.V. , Marushko T.V. , Dmytryshyn O.A. , Bovkun O.A. , Iovitsa T.V. , Dmytryshyn B.Ya. 
Published: November 2024

Background. The article reviews literature data on the peculiarities of changes in the health status of children after acute respiratory viral infections (ARVI) of various etiologies and the development of post-viral asthenic syndrome accompanied by physical, cognitive, emotional, and psychological symptoms that significantly impair the quality of life. The purpose of the study is to summarize the literature data on the features, mechanisms of development of changes in the health status of children after ARVI, and methods to correct these disorders, in particular by prescribing herbal remedies. Materials and methods. Bibliographic and information-analytical research methods were used. A theoretical analysis of scientific data from the search databases PubMed, Web of Science, Scopus, Google Scholar, and Bri­tish Medical Journal for the last 10 years was carried out on the possibility of using, efficacy, safety, and properties of oregano, thyme, rose, small-leaved linden, hibiscus sabdariffa, calendula officinalis, black currant. Results. According to the literature review, the incidence of post-viral asthenic syndrome in children is 36.8 %, with cognitive-emotional changes (84 %), sleep disturbances (74 %), decreased appetite (64 %), and headaches (52 %) dominating in the clinical picture. The persistence of these manifestations hinders the adequate restoration of the child’s adaptive capacity and the fight against hypoxia, acidosis, metabolic disorders due to ARVI, and post-viral asthenic syndrome. This determines the urgency of finding appropriate methods of correction with etiopathogenetic (inhibition of oxidative stress, reduction of acidosis and hypoxia, restoration of liver function), immunoregulatory (improvement of the immune system), and symptomatic (improvement of appetite) effects. The analysis of scientific data on the properties of oregano, thyme, rose, small-leaved linden, hibiscus sabdariffa, calendula officinalis, black currant made it possible to verify the possibility of using this combination to correct the clinical manifestations of post-viral asthenic syndrome in children and restore their health after ARVI. Conclusions. Phytocombination of oregano, thyme, rose, small-leaved linden, hibiscus sabdariffa, calendula officinalis, black currant can be recommended for the restoration of children’s health after ARVI, influenza, COVID-19, adenovirus infection, and children with clinical manifestations of post-viral asthenic syndrome due to the properties that provide antioxidant, anti-inflammatory, antiviral effects, a positive impact on the gastrointestinal tract, nervous and immune systems.
Conceptualizing Parliamentary Diplomacy
Authors: Savelchev L. A. 
Published: November 2024

Aim. The article reveals the conceptual foundations of parliamentary diplomacy.Methods. In order to fulfill the purpose, the author drew upon theoretical methodology namely modelling, chronological, comparative, complementary and parallel approaches.Results. The phases of development of parliamentary diplomacy are outlined. The theoretical model (institutional design) of parliamentary diplomacy is designed. The features of the international activities of representative authorities are outlined.Conclusions. First, the geopolitical processes of the second half of the 20th century have caused parliamentary diplomacy to transform into double legitimate diplomacy, a new form of soft power tool and independent holistic concept. Second, parliamentary diplomacy has acquired a complex body (model), including various dimensions, levels of institutionalization, tools, forms and formats of cooperation. Third, although parliamentary diplomacy has a number of advantages over cabinet diplomacy (greater flexibility, informality and less bias), the other side of its institutional features (reduced powers, limited resources and ideological colouring) may have a negative impact on applied outcomes.
Improving Mechanisms for an Equitable Transition to Low-Carbon Development within the BRICS Framework
Authors: Seregina A. A. 
Published: November 2024

Nowadays transformational changes are going together with the need to address global environmental and climatic challenges. The BRICS member countries realize the need for a fair energy transition to lowcarbon development both within the association and globally.Aim. The objective of the research is to highlight the priority areas that BRICS member countries need to focus on to ensure an equitable and cost-effective transition to low-carbon development at the global level.Tasks. In order to achieve the objective of the study, it is necessary to analyze the components of the BRICS equitable low-carbon development agenda as well as its applicability at the global level.Methods. The research was conducted using the method of systematic analysis of a wide range of academic and empirical sources. The author adheres to a systematic scientific approach.Results. Through the analysis of key initiatives of the BRICS member countries, including legislative ones, five priority areas on which the BRICS needs to focus on to ensure a fair energy transition at the global scale are identified: removing discriminatory measures in multilateral trade, achieving food security and economic growth, facilitating non-discriminatory access to technology, promoting environment and climate cooperation, and enhancing the human resource potential of the energy sector.Conclusions. The author concludes by noting that such a BRICS sustainable development agenda is capable of initiating energy transition processes on a global scale.
Analysis of the Current State and Prospects for the Development of the Tourism Services Market in China
Authors: Kuklina E. A. , Wang Hefei 
Published: November 2024

Aim. The purpose of the study is to analyze the current state of the Chinese tourism services market and the prospects for its development in the context of the public policy of the PRC.Tasks. Research objectives: perform a cluster analysis of entrepreneurial activity in the field of tourism, construct a diagram of the distribution of travel agencies by clusters; comply with the current state of the tourism services market in terms of key metrics; study government support measures for the industry; determine the prospects for the development of the tourism services market of the PRC and Russian-Chinese cooperation in the context of the implementation of the new “double circulation” strategy.Methods. Methodological basis and research methods: systematic approach, logical analysis, synthesis, cluster and regression analysis, content analysis of open sources.Results. The results obtained: the supply-side model of China’s modern tourism landscape includes three clusters; The specificity of China’s domestic tourism market is the holiday tourism segment; a new driver of economic growth is domestic tourism, the preferences of domestic tourists reflect a wide range of interests; the system of state support for tourism includes direct and indirect methods that adapt to changes in the external and internal environment.Conclusions. With a high probability, the prospects for cooperation between the PRC and the Russian Federation are assessed quite highly; favorable factors in the development of Russian-Chinese cooperation are the opening of new “windows of opportunity” after the COVID-19 pandemic, as well as the restriction of outbound tourist flows to unfriendly countries and changes in the vector towards the BRICS countries, SCO, and EAEU.
The Phenomenon of Model Legislative Acts of the Interparliamentary Assembly of the Commonwealth of Independent States in Decisions of Courts of the Russian Federation
Authors: Podkorytova O. V. 
Published: November 2024

This study is focused at studying decisions of courts of the Russian Federation, containing references to model legislative acts and other documents of the Interparliamentary Assembly of the Commonwealth of Independent States (hereinafter referred to as the IPA CIS).Aim. Determine the types of appeals by courts of the Russian Federation to the texts of the recommendatory acts of the IPA CIS, adopted for the purpose of forming and implementing coordinated legislative activity on issues of common interest to the member states of the organization.Tasks. Collect and study acts of the Constitutional Court of the Russian Federation, the Supreme Court of the Russian Federation, as well as the system of federal courts of general jurisdiction and arbitration courts headed by it.Methods. The disclosure of the main trends in the courts’ resort to model laws and other documents of the CIS IPA occurred according to the following criteria: level and type of court that adopted the decision; the entity on whose initiative the appeal to the model act of the CIS IPA took place, as well as the consequences of the initiative on the part of the applicant or other participant in the process; the meaning (variant of manifestation) of the model document in the court ruling.Results. The study showed that courts at all levels of the judicial system of the Russian adopted decrees, rulings and decisions adopted in constitutional, civil, criminal and administrative proceedings, the content of which included references to model legal provisions. The initiative to use model legal norms came both from the court and from other participants in the process.Conclusion. The court decisions collected for the study presented different options for the use of model laws and other documents of the CIS IPA by courts, which provides grounds for redetermination of the nature of model legislative acts of the CIS IPA.
Effect of Biosynthesised Nano-zinc on Blood Biochemical Profile, Antioxidant Status and Immune Response in Vanaraja Birds
Authors: Kumar M. Ravi , Roy Barun , Kannan A. , Shanmugam M. , Venkateswarlu R. , Kannaki R. , Kumar M. Muthu , Rani K. Sudha 
Published: November 2024

The experiment was conducted during December, 2021 to February, 2022 at the location of research was poultry farm, directorate of poultry research Hyderabad, Telangana, India to investigate the efficacy of biosynthesized nano-zinc as a substitute for traditional zinc salt in the diet of Vanaraja chickens, focusing on its impact on blood biochemical profile, antioxidant status, and immune response. A total of 324-day-old Vanaraja chicks were randomly assigned to six dietary treatments, including a negative control (no supplemental zinc), a basal diet supplemented with zinc oxide (60 mg Zn kg-1), and four groups receiving biosynthesized nano-zinc at levels of 15, 30, 45, and 60 mg Zn kg-1 diet. The trial spanned 56 days with 9 replicates per treatment group. Results demonstrated that nano-zinc supplementation at 30 mg kg-1 significantly (p<0.05) improved humoral immunity compared to the control, matching the immune response achieved with 60 mg kg-1 zinc oxide. No adverse effects on serum enzyme profiles or biochemical parameters were observed across treatments, indicating the safety of nano-zinc as a feed additive. From the current study, it may be concluded that the conventional zinc oxide can be replaced with nanoparticle forms at a reduced level without any adverse effect on health assessed through serum biochemical profile. In order to recommend the level of dose reduction, more studies with different breeds, indifferent agro-climatic zones during different seasons are recommended.
Fecal Microbiota Transplantation: A Systematic Review of Therapeutic Potential, Preparation Techniques, and Delivery Methods Across Medical Conditions
Authors: Qadir Syamand Ahmed , ALKaisy Qausar Hamed , F. Hasan Abdulbasit , Awlqadr Farhang Hameed , Altemimi Ammar B. , Faraj Aryan Mahmood , Giuffrè Angelo Maria , N. Saeed Mohammed , Abdalla Sherzad Rasul 
Published: November 2024

Fecal microbiota transplantation (FMT) is revolutionizing the treatment of gastrointestinal disorders by leveraging the gut microbiome in innovative ways. This systematic review evaluates the clinical effectiveness and safety of FMT across various medical conditions, offering insights into its therapeutic potential and limitations. A comprehensive search of PubMed, Web of Science, Scopus, Embase, and ClinicalTrials.gov from January 2000 to December 2023 identified 97 relevant studies on FMT's efficacy, safety, and microbiome changes after eliminating duplicates. FMT has demonstrated high success rates, particularly in treating recurrent and refractory Clostridium difficile infections (CDI), with up to 90% effectiveness, establishing it as a primary treatment for antibiotic-resistant cases. FMT’s applications are expanding to inflammatory bowel diseases (IBD), including ulcerative colitis and Crohn's disease, as well as metabolic disorders and neuropsychiatric conditions. Remission rates for IBD range from 37-45%, with outcomes influenced by donor characteristics, stool preparation, and disease subtype. with mild, self-limiting side effects such as transient diarrhea and abdominal cramping. However, rare serious adverse events underscore the need for rigorous donor screening and standardized preparation protocols to mitigate risks. FMT’s ability to restore healthy gut flora highlights its promise in both gastrointestinal and systemic disease management. However, further research is essential to establish optimized procedures, standardized guidelines, and long-term safety data to facilitate its integration into mainstream medical practice.
Intelligent Logistics Supply Chain Management: Cost Management and Service Quality Improvement
Authors: Liu Cuiping 
Published: November 2024

Abstract
This paper applies RFID technology to the enterprise’s supply chain system, combined with supply chain management, through RFID to achieve the automated collection of logistics information to improve the operational efficiency and management service level. Relying on the case enterprise through continuous recording and tracking for the application of this technology in a supply chain system to carry out further research through the combination of theory and data, showing more advantages of an intelligent logistics supply chain. The results show that compared with the original system, the intelligent logistics supply chain has better efficiency and accuracy, and label identification has reached 100%. After the implementation of the RFID intelligent supply chain, JZ company’s purchasing, logistics, and production costs showed a downward trend, while profitability and operating capacity showed an upward trend.
The Value Following and Optimization Path of Teacher Evaluation Reform in Colleges and Universities in the New Era
Authors: Chen Jianping 
Published: November 2024

Abstract
Based on the current practice progress and the realistic dilemma of teacher evaluation reform in colleges and universities, the teacher evaluation reform in colleges and universities in the new era should adhere to the main principles of moral education, systematic and pluralistic, scientific and effective, and talent cultivation. We built a teacher quality evaluation index system in this study to follow the new rules for how teachers are evaluated in colleges and universities. We used fuzzy hierarchical analysis and fuzzy comprehensive evaluation to look at the multivariate structured data. It also combines natural language processing technology to achieve multivariate evaluations for college teachers. The results demonstrate that the construction of a multivariate evaluation model enables a diversified assessment of teachers’ teaching ability, thereby assisting teachers in achieving a more objective and accurate evaluation. The innovative path of teacher evaluation in colleges and universities should be based on establishing moral character, implementing the mission of teaching as the starting point, taking the sound evaluation framework system as the focus point, taking the rational use of assessment results as the key point, and promoting teacher growth and development as the ending point.
Telling important party history of the New Democracy period based on historical materials
Authors: Hu Ding 
Published: November 2024

Abstract
Due to the characteristics of multi-source heterogeneity of party history information resources, the organisation and storage of party history information resources remain in the digital stage at this stage. In order to achieve the transformation of important party history information resources in the new democratic period from digitalisation to intellectualisation, this paper collects and preprocesses the relevant information data of important party history in the new democratic period in the historical materials. The entity knowledge model in the knowledge graph is constructed by combining the characteristics of important party history with the data, encoding and processing the nodes and timestamps in the important party history by using encoders, learning its evolution characteristics, and realising the complementary processing of the time sequence of important party history. Finally, we construct a narrative system of important party history from the new democratic period based on historical materials. The study shows that there are 2015 keywords of important party history during the New Democracy period in the historical materials, and there are 36 keywords with frequency values of 3 times or more. It is also found that the system can accurately narrate important party history events in the New Democratic Period and can allow users to learn about other important party history figures or events that are closely related to them when searching for important party history-related information. This paper responds to the call for promoting the popularisation of Party history for all people, and the visual and vivid display of important Party history events through the form of knowledge mapping can improve the public’s understanding and knowledge of Party history events.
Convolutional Neural Networks in Human Resource Information Systems for Employee Sentiment Analysis
Authors: Xia Yi , Li Dan 
Published: November 2024

Abstract
Emotion management is an important part of enterprise human resource management, and this paper analyzes enterprise employees’ emotions with the help of convolutional neural network technology. The face detection technology is used to detect the coordinates of the key points of the face, and the key point features of the face are extracted based on the one-dimensional convolutional neural network Plain-PD, which is combined with the ResNet network and S3D network to complete the task of recognizing the facial expression. We construct the emotion recognition algorithm using convolutional neural network technology and train the model using the Adam gradient descent method, based on the collected and processed EEG information. Based on emotion recognition, the emotions are classified by the BiLSTM module and multi-head attention mechanism. In all tasks, the emotion analysis model constructed in this paper is superior to other models, with an accuracy of over 90% for both emotion recognition and emotion classification. In the case analysis of Enterprise H, the accuracy of this paper’s model in recognizing employees’ emotions reached 91.36%. At the same time, this paper, with the help of the model of the enterprise employees for emotion recognition and screening, according to the bad emotion screening criteria, shows that there are obvious bad emotions. Approximately 17.47% of employees fall into this category, necessitating the establishment of an early warning system and a focus on emotional management within the enterprise.
Exploring the Impact of Digital Transformation on the Communication Effect of Chinese Traditional Folk Culture
Authors: Liu Jia 
Published: November 2024

Abstract
Under the background of digitization, folk culture constantly appears in new forms in people’s vision. The ever-advancing technological means have innovated the presentation form of folk culture and accelerated the speed of dissemination of folk culture. In this paper, we use GMAP co-word analysis for text mining to analyze the text data of digital communication of folk culture, summarize the effect of digital technology on folk culture, and conduct an in-depth exploration of specific influencing factors through regression analysis. Finally, we take the “Qingtian Burning Pagoda” interactive installation as an example to explore the impact of digital technology on people’s emotional experience and ritual cultural identity. Through text mining, the impact of digital transformation on the dissemination of folk culture can be reflected in cultural identity. The overall value of positive emotions (3.77) is higher than the overall value of negative emotions (1.67), indicating that the users’ experience of the “Qingtian Burning Pagoda” interactive device has positive emotions. The mean value of cultural identity is 3.586, which is more than 3, indicating that users identify with the folk culture of Qingtian after using the “Qingtian Burning Pagoda” interactive device. The study mentioned above shows that digital transformation is beneficial for the communication effects of folk culture.
Research on the Construction of Intelligent Teaching Environment and Teaching Quality Improvement of Physical Education Teaching in Colleges and Universities
Authors: Pei Hongliang 
Published: November 2024

Abstract
The construction of an intelligent teaching environment is conducive to the improvement of the quality of sports teaching in colleges and universities, and teaching behavior recognition is one of the important means to create and realize an intelligent environment of education. This paper develops an intelligent sports teaching method for colleges and universities based on a preliminary analysis of sports teaching behavior recognition. The method is applied to teaching physical education in a university, and experimental tests are carried out on three dimensions: students’ physical fitness, learning interest, and changes in physical test scores. After the training and validation results on the experimental dataset, it was shown that the improved M-LSTM model proposed in this paper has a good recognition rate. In the change of physical learning interest, students’ physical learning motivation, physical skill learning, after-school physical activity, and physical attention under intelligent teaching are significantly higher than that of traditional teaching methods. It can be concluded that the intelligent physical education teaching method proposed in this paper has good practical effects on the teaching environment in colleges and universities.