bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancing Sustainability in Watershed Management: Spatiotemporal Assessment of Baseflow Alpha Factor in SWAT
Authors: Lee Jimin , Han Jeongho , Lee Seoro , Kim Jonggun , Na Eun Hye , Engel Bernard , Lim Kyoung Jae
Published: October 2024

The increasing frequency of extreme rainfall events poses significant challenges to sustainable water resource management, leading to severe natural disasters. To mitigate these challenges, understanding the hydrological characteristics of watersheds, especially baseflow, is critical for enhancing watershed resilience and supporting sustainable water quality and resource management. However, conventional watershed models often neglect the accurate simulation of baseflow recession. This study proposes a method for calculating and applying the alpha factor for each hydrologic response unit (HRU) in the Soil and Water Assessment Tool (SWAT), considering both temporal and spatial variability in baseflow. The study watershed has undergone significant development, increasing the need for effective water management strategies that promote long-term sustainability. The alpha factor was computed using BFlow2021, and its effectiveness was evaluated by comparing recession and baseflow estimates under different methods. The results indicate that incorporating monthly HRU-specific alpha factors significantly improves model predictions of recession characteristics, highlighting the need for a more spatially and temporally detailed approach in hydrological modeling. The proposed methodology can help clarify the connection between recession and baseflow and can be applied to ungauged stations, offering a valuable tool for sustainable watershed and water quality management.
Promoting Sustainable Household Engagement in Recycling via Blockchain-Based Loyalty Program
Authors: Saeedi Kawther
Published: October 2024

Recycling plays a crucial role in impacting national GDP and environmental sustainability. Given the complexities inherent in recycling processes, technology serves as a driving force for advancing and optimizing these practices. In the Kingdom of Saudi Arabia, substantial initiatives are underway to foster a green environment and promote a circular economy. However, at the time of writing this paper, existing regulations mandate recycling primarily for business sectors, with no corresponding requirements for household waste collection or segregation. As a result, a significant portion of recyclable waste remains unprocessed. This paper expands upon earlier studies carried out in Jeddah, analyzing the obstacles and variables impacting sustainable recycling solutions, along with the essential conditions to boost household involvement in recycling. This study explores the potential of blockchain technology to improve household engagement by developing a blockchain-based loyalty program. The proposed system leverages the decentralized, immutable, and transparent features of blockchain technology to reward individuals with tokens for the recycling waste they produce, thereby facilitating token tracking across the recycling value chain and enhancing transparency in the circular economy. This article delves into the technical architecture of the loyalty program, aligning its domain model elements with blockchain design heuristics and integrating it with a mobile application that aims to boost recycling engagement by applying social economy principles. This innovative approach promises to overcome the current regulatory and motivational barriers, as well as promote sustainable recycling habits at the household level.
Does the Bike-Sharing Platform Share Its Own Private Information or Not in a Reverse Supply Chain?
Authors: Wang Rufeng , Du Yupei , Wei Yurun
Published: October 2024

Bike sharing facilitates the public’s daily lives and possesses substantial market demand, yet its overwhelming presence has triggered some environmental problems. To enhance resource utilization efficiency, we examine the decision-making strategies within a reverse supply chain considering the private information of the bike-sharing platform. Using Stackelberg games, two models are formulated in order to investigate whether the platform should share its own private information when the used shared bikes are recycled. A supply chain without private information is provided as a benchmark for comparison, and we obtain the optimal equilibrium strategies of the benchmark and the proposed model. Furthermore, how the optimal strategies change with the variation in parameters and the impacts of the private information on the optimal strategies are discussed. The results show that information asymmetry could lead to a reduction in supply chain efficiency. Thus, a two-part pricing contract is introduced to incentivize the platform to share information and coordinate the supply chain, which can effectively improve the performance of the integral supply chain and implement a “win-win” strategy for the third-party remanufacturer and the platform.
Carbon Carriers Driving the Net-Zero Future: The Role of Torrefied Biomass Pellets in Power-To-X
Authors: Kyriakarakos George , Lindeque Colin , Shafudah Natangue , Balafoutis Athanasios Τ.
Published: October 2024

The latest Intergovernmental Panel on Climate Change Sixth Assessment Report urgently calls for sweeping action to mitigate the unprecedented impacts of climate change. The path to a carbon-neutral future is intricate, necessitating a multi-faceted approach that integrates decarbonization, defossilization, and energy/resource efficiency. Power-to-X (PtX) stands as a technological linchpin, converting renewable electricity into a range of sustainable products, from fuels to chemicals. However, its full potential is intrinsically tied to the availability of sustainable carbon sources. This paper evaluates the various avenues for carbon sourcing for PtX: direct air capture (DAC), biogenic carbon, and Long-cycle Industrial Carbon. DAC, although promising for the long term, has limitations in scalability and land requirements. Industrial long-cycle carbon capture technology is improving but requires a thorough Life Cycle Assessment for evaluating its sustainability. This study examines the environmental impacts, scalability, and logistical considerations of each carbon source. Biogenic carbon offers a near-term solution, and its various forms could simplify transportation logistics. An analysis of gasification processes, syngas cleaning, and hydrogen integration was conducted to assess the technical viability of these carbon sources in PtX applications. The results show that torrefied biomass pellets, after a thorough technical assessment, present a globally feasible and sustainable carbon carrier, setting the stage for industry standardization and easier global transportation. Syngas produced through the gasification of the pellets complemented by green hydrogen can be utilized in Fischer–Tropsch, methanol synthesis, and methanation, allowing PtX to synthesize practically any type of organic compounds in a hybrid Biomass–PtX (HBPtX) process. This study provides key insights for industries and policymakers by demonstrating the technical feasibility and sustainability of torrefied biomass as a carbon carrier, thereby supporting the development of comprehensive climate mitigation strategies.
A Space Distributed Model and Its Application for Modeling the COVID-19 Pandemic in Ukraine
Authors: Cherniha Roman , Dutka Vasyl’ , Davydovych Vasyl’
Published: October 2024

A space distributed model based on reaction–diffusion equations, which was previously developed, is generalized and applied to COVID-19 pandemic modeling in Ukraine. Theoretical analysis and a wide range of numerical simulations demonstrate that the model adequately describes the second wave of the COVID-19 pandemic in Ukraine. In particular, comparison of the numerical results obtained with the official data shows that the model produces very plausible total numbers of the COVID-19 cases and deaths. An extensive analysis of the impact of the parameters arising from the model is presented as well. It is shown that a well-founded choice of parameters plays a crucial role in the applicability of the model.
Improving Diabetes Education and Metabolic Control in Children Using Social Robots: A Randomized Trial
Authors: Alhmiedat Tareq , AlBishi Laila A. , Alnajjar Fady , Alotaibi Mohammed , Marei Ashraf M. , Shalayl Rakan
Published: October 2024

Robot engagement in healthcare has the potential to alleviate medical personnel workload while improving efficiency in managing various health conditions. This study evaluates the impact of robot-assisted education on knowledge acquisition and metabolic control in children with Type 1 Diabetes Mellitus (T1DM) compared to traditional education methods. A randomized controlled trial was conducted at the pediatric diabetes clinic of the University of Tabuk Medical Center, Saudi Arabia. Thirty children aged 5–15 years with T1DM were randomly divided into two groups: the robot education (intervention) group and the control education group. Both groups participated in six weekly one-hour educational sessions, with the intervention group interacting with a Pepper robot assistant and the control group receiving education from a qualified diabetes educator nurse. Knowledge was assessed using a 12-item questionnaire before and after the intervention, while metabolic control was evaluated through weekly mean home blood glucose measurements and HbA1c levels before and three months post intervention. The intervention group demonstrated a significantly greater improvement in knowledge scores compared to the control group (p < 0.05). Weekly mean blood glucose levels were consistently lower in the intervention group throughout the study period (p < 0.05 for all samples). Both groups showed a reduction in HbA1c levels after three months, with the intervention group exhibiting a greater mean decrease. The engagement of the Pepper robot in T1DM education for children resulted in improved knowledge acquisition and better metabolic control compared to traditional education methods. This approach may establish a foundation for “learning by interacting with robots” in long-term diabetes management. Further research with larger sample sizes and longer follow-up periods is warranted to confirm these findings and explore the long-term benefits of robot-assisted education in pediatric diabetes care.
Mixed Thermal and Renewable Energy Generation Optimization in Non-Interconnected Regions via Boolean Mapping
Authors: Nikolaidis Pavlos
Published: October 2024

Global efforts aiming to shift towards renewable energy and smart grid configurations require accurate unit commitment schedules to guarantee power balance and ensure feasible operation under different complex constraints. Intelligent systems utilizing hybrid and high-level techniques have arisen as promising solutions to provide optimum exploration–exploitation trade-offs at the expense of computational complexity. To ameliorate this requirement, which is extremely expensive in non-interconnected renewable systems, radically different approaches based on enhanced priority schemes and Boolean encoding/decoding have to take place. This compilation encompasses various mappings that convert multi-valued clausal forms into Boolean expressions with equivalent satisfiability. Avoiding any need to introduce prior parameter settings, the solution utilizes state-of-the-art advancements in the field of artificial intelligence models, namely Boolean mapping. It allows for the efficient identification of the optimal configuration of a non-convex system with binary and discontinuous dynamics in the fewest possible trials, providing impressive performance. In this way, Boolean mapping becomes capable of providing global optimum solutions to unit commitment utilizing fully tractable procedures without deteriorating the computational time. The results, considering a non-interconnected power system, show that the proposed model based on artificial intelligence presents advantageous performance in terms of generating cost and complexity. This is particularly important in isolated networks, where even a-not-so great deviation between production and consumption may reflect as a major disturbance in terms of frequency and voltage.
Invasive Pneumococcal Diseases in People over 65 in Veneto Region Surveillance
Authors: Cocchio Silvia , Cozzolino Claudia , Cozza Andrea , Furlan Patrizia , Amoruso Irene , Zanella Francesca , Da Re Filippo , Ballarin Debora , Pagin Gloria , Gentili Davide , Tonon Michele , Russo Francesca , Baldovin Tatjana , Baldo Vincenzo
Published: October 2024

Background: Elderly individuals over 65, along with children under 5, are the most affected by invasive pneumococcal diseases (IPDs). Monitoring vaccination coverage and conducting surveillance are essential for guiding evidence-based prevention campaigns and public health measures. Methods: Since 2007, the Veneto Region has relied on three sources for surveillance of invasive bacterial infections, contributing to an increase in reported IPD cases. This study analyzed notifications related to individuals aged ≥65 years from 2007 to 2023. Results: A total of 1527 cases of IPDs in elderly individuals were reported between 2007 and 2023. The notification rate significantly increased from 5.61 to 14.63 per 100,000 inhabitants, despite underreporting during the COVID-19 pandemic. Cases associated with sepsis increased from 3.89 to 9.58 per 100,000, while notifications of meningitis and case fatality rates remained stable at 1.5 per 100,000 and 11.8%, respectively. Serotyping was not performed in 52% of the notifications. The most common serotypes were 3 (21.6%), 8 (11.1%), and 19A (5.0%), with fluctuations over time. There was a significant decline in serotypes covered by PCV7 and PCV13 and an increase in non-vaccine serotypes. Conclusions: The regional surveillance system allows for an increasingly comprehensive profile of the epidemiological landscape of IPDs in Veneto. However, the surveillance of pneumococcal infections still presents challenges. The currently available data are likely to be underestimated, mainly referring to the most severe cases, and the serotyping necessary to identify the etiological agent is still not often performed.
Overcoming Challenges in Interdisciplinary Collaboration Between Human and Veterinary Medicine
Authors: Han Louise , Lee Yerhee , Lee Hyunsu , Lee Hyejin , Lee Jeong-Ik
Published: October 2024

Companion animals, such as dogs and cats, have gained considerable attention in translational medicine due to their potential as models for human diseases. The use of these animals in research has opened new avenues for developing treatments that can benefit both human and veterinary patients, aligning with the One Health approach. Unlike traditional laboratory models like mice, rats, and rabbits, companion animals naturally develop diseases that closely mirror those in humans, including but not limited to diabetes, aging, cancer, and neurological disorders, making them particularly valuable in translational research. Recent advances have highlighted the role of companion animals in enhancing the effectiveness of novel therapies during clinical trials, as they are exposed to diverse environmental and lifestyle factors similar to those experienced by humans. However, the integration of companion animals into translational medicine presents challenges, particularly in terms of collaboration between veterinary and human medicine, where terminology differences in anatomy, clinical terminology, and animal classification can lead to miscommunication. In conclusion, these findings underscore the need for better implementation of the One Health approach by uniting the fragmented collaboration between veterinarians and doctors through interdisciplinary training and fostering unified efforts across both fields, with experts from various disciplines contributing their specialized knowledge in clinical practice and research.
An Improved RRT Path-Planning Algorithm Based on Vehicle Lane-Change Trajectory Data
Authors: Li Jianlong , Liu Bingzheng , Guo Dong , Gao Xianjie , Wang Pengwei
Published: October 2024

The Rapidly-exploring Random Tree (RRT) algorithm faces issues in path planning, including low search efficiency, high randomness, and suboptimal path quality. To overcome these issues, this paper proposes an improved RRT planning algorithm based on vehicle lane change trajectory data. This algorithm dynamically adjusts the sampling area based on road environment and trajectory change laws, allowing the random tree to sample within an effective area, thereby improving the algorithm’s sampling efficiency. After determining the sampling area, a sampling point optimization strategy is used to enhance sampling quality, resulting in a smoother and more executable path. Finally, the vehicle is processed in a standardized manner to further improve path safety. Simulation results indicate that, compared to the original RRT algorithm, the improved version reduces nodes, planning time, and path length by 12.77%, 64.79%, and 12.87%, respectively. It also improves path smoothness and more closely aligns with actual lane-change trajectories, demonstrating the effectiveness and executability of the improved algorithm.
Main routes and attractions of Crimea in the sphere of art tourism
Authors:   Higher School of Management, Peoples’ Friendship University of Russia named after Patrice Lumumba, Moscow, Rodkina N. V.
Published: October 2024

This article examines the key routes and attractions of Crimea, which play a significant role in the development of art tourism on the peninsula. Crimea, with its rich historical and cultural heritage, attracts artists, writers and art lovers from all over the world. In the article, we analyze the most interesting points, such as: Bakhchisarai, Yalta, Sevastopol and Simferopol, where art galleries, museums, plein airs and cultural events are concentrated. Particular attention is paid to places of nature that inspired famous artists, as well as modern art spaces that contribute to the development of creative initiatives. During the study, we note the impact of art tourism on the economy of the region and its potential for the sustainable development of the cultural environment of Crimea. The article also includes recommendations for organizing cultural routes for tourists, taking into account the artistic context, which contributes to immersion in the unique atmosphere of Crimean art.
Analysis of health resorts in Bulgaria and calculation of the adaptation radius for outgoing tourism in the country
Authors:   Patrice Lumumba Russian People’s Friendship University, Moscow, Balev N. N. , Zeveke O. Yu. ,   Patrice Lumumba Russian People’s Friendship University, Moscow
Published: October 2024

The article examines the types of health resorts, the resources used for treatment and the distribution of resorts across the country. There is also a calculation of the adaptation radius for outbound tourism from Bulgaria.
Cognitive Model Based on The Dl Random Forest Method for Profi t Forecasting and Fuzzy Algorithm for Assessing Company Sustainability in Conditions of Uncertainty
Authors:   Volgograd State Technical University, Volgograd, Lomakin N. I. , Maramygin M. S. ,   Ural State Economic University, Ekaterinburg, Kuzmina T. I. ,   Plekhanov Russian University of Economics, Moscow, Polozhentsev A. A. ,   Southwestern State University, Kursk, Sleta Y. O. ,   Plekhanov Russian University of Economics, Volgograd branch, Volgograd, Yurova O. V. ,   Volgograd State Technical University, Volgograd, Shabanov N. T. ,   Volgograd State Technical University, Volgograd
Published: October 2024

The article is devoted to the problem of supporting management decision-making on choosing a strategic partner whose activities would be effective and sustainable. During the study, based on the results of the work of enterprises in the domestic confectionery industry, a dataset was generated, which was subsequently used for the deep learning model DL-model "Random Forest" in order to calculate the predicted values of the net profi t of enterprises in the industry. Assessing companies for the purpose of selecting a strategic partner, using models such as: deep learning model "Random Forest" (DL Random Forest), VaR, Z-Altman, Hurwitz matrix, Fuzzy algorithm in modern conditions has great practical significance. The relevance of the study lies in the fact that in conditions of increasing market uncertainty, approaches to ensuring the sustainable development of an organization based on AI systems are increasingly being used. The scientific novelty lies in the fact that the study used a set of models that made it possible to assess the actual sustainability of companies and, based on the calculated forecast values of net profi t, as well as business efficiency indicators ROE and ROS, to make a decision on the choice of potential business partners. During the study the following were developed: a VaR model, which made it possible to obtain an assessment of fi nancial risk, a Z-Altman model for assessing the risk of bankruptcy of an enterprise. In addition, based on the calculated parameters of the regression equation, a Hurwitz matrix was formed, which made it possible to draw a conclusion about the sustainability of each enterprise as a system. The use of the Fuzzy algorithm made it possible to obtain a decision on choosing a partner enterprise.
On determination of fair and economically reasonable liquidation value of preferred shares
Authors: Belomyttseva О. , Khloptsov D.
Published: October 2024

A preferred share on the Russian securities market is a limited instrument that is a hybrid between an ordinary share and a bond. In the business environment, disputes arise regarding the definition of the liquidation value, which differs from the balance sheet, market, nominal. The authors analyze the nature of the preferred share from an economic point of view, the customs of the business turnover established in the Russian Federation and develop a methodology for determining the fair and economically justified liquidation value of preferred shares.
Cybersecurity in the financial sector of the economy: necessity and significance
Authors: Sledneva K. , Kuvaldina T.
Published: October 2024

In the age of technological development, the financial sector of the Russian economy was one of the first to actively begin the transition to digitalization of all business processes. Electronic platforms have been used to accelerate financial transactions and improve the quality of financial services. The country's population is increasingly moving towards cashless payments for goods, works and services. Russians now have the opportunity to purchase digital assets via bank card on a variety of electronic resources without leaving home. Nevertheless, along with the pluses of technological innovations in the payments sphere, new threats related to cyberattacks in the financial sector have emerged. Criminal methods today are becoming more sophisticated, with an emphasis on the collection and use of confidential information, gradually nullifying the traditional mechanisms of physical theft of funds. The urgency of developing reliable systems to protect electronic payments and important data requires the consolidation of efforts on the part of both the state and financial organizations, as well as society as a whole. Therefore, in the course of the study, in order to minimize digital threats, the concept of financial cybersecurity is considered, which contributes to the sustainable development of the economy, as well as ensuring the protection of users' interests, in a constantly evolving digital environment.
Analysis of budget expenditures of the Republic of Kazakhstan
Authors: Salimbayeva Sh.
Published: October 2024

This article provides a comprehensive analysis of the structure of the budget system and expenditures of the Republic of Kazakhstan (ROK), which are characterized by complexity and multilevel and reflect the amount of financial resources and the size of budget constraints at the levels of the budget system. The main focus is on the republican budget, which generates the country's revenues and finances national expenditures directed to such areas as defense, national security, foreign policy, as well as projects and assistance programs. The functioning of the budget system is regulated by regulatory legal acts (NPAs), including the Constitution of the Republic of Kazakhstan, the Budget Code of the Republic of Kazakhstan and other NPAs, which ensures transparent and effective management of public finances. The Ministry of Finance of the Republic of Kazakhstan plays a key role in the implementation of the state financial policy, coordinating work with other ministries and departments.

The article presents the results of the analysis conducted by the author of this article of the execution of republican budgets for the period 2018-2022. It is shown that all three categories of budgets (republican, regional and local) demonstrate steady growth in spending, which can lead to increased public investment and expansion of government programs. Special attention is paid to the increased level of education and health care, which ensures the priority and higher level of efficiency of these sectors in comparison with other sectors of the economy of the Republic of Kazakhstan. Based on the analysis, a SWOT analysis was conducted, which revealed the strengths and weaknesses of the budget system of the Republic of Kazakhstan, as well as identified threats and opportunities to improve its condition.

The article concludes with recommendations on ensuring the sustainability of the budget system and improving the efficiency of budget funds, including measures to increase transparency and efficiency of budget processes, optimize budget allocation, improve the effectiveness of social programs, reduce public debt, develop interdepartmental experience and use the state experience achieved in a number of sectors and territories.
PENGARUH INTRINSIC MOTIVATION TERHADAP BEHAVIORAL INTENTIONS PADA STARTUP BERORIENTASI HIJAU
Authors: Ni Putu Maha Lina
Published: October 2024

The study aims at analyzing the direct and indirect effects of intrinsic motivation, perceived ease of use, and behavioral intention on the 270 employees of eco-oriented startups in Bali. This study was conducted based on research gaps, namely: 1) the limitations of research that emphasizes intrinsic motivation in the behavioral intention of using recruitment games; and 2) the lack of studies that enrich the combination of SDT and TAM theory. The data were collected using a questionnaire with the help of SmartPLS. The results showed that: 1) Intrinsic motivation has a significant positive relationship to perceived ease of use; 2) Perceived ease of use has a significant positive relationship to behavioral intention; 3) Perceived ease of use mediates intrinsic motivation and behavioral intention; and 4) Intrinsic motivation has a significant positive relationship to behavioral intention.
Targeting the Receptor for Advanced Glycosylation End Products in Inflammation-Associated Diabetes Mellitus
Authors: Wang Jieyu , Mao Wenbing , Yang Yuxiang , He Fang , Li Juan , Wang Hong-Hui , Long Junhua
Published: October 2024

Receptor for advanced glycosylation end products (RAGE) is an essential cell surface receptor that detects advanced glycation end products (AGEs) to mediate important inflammatory and immune processes. Inflammation can cause insulin resistance, in which the excess glucose in the blood that cannot be stored as fat induces hyperglycemia. Under these conditions, AGEs, high mobility group box 1, S100s, and other inflammatory factors induce the production of tumor necrosis factor-α, interleukin-1β, interleukin (interleukin-6), and other proinflammatory cytokines, inducing chronic inflammation. Herein, we reviewed the relationships between diabetes and RAGE-related inflammation and the associated signaling pathways. Recent progress in targeted therapy against RAGE has also been discussed. Since RAGE is involved in the progression of diabetes, it might be a promising therapeutic target for the prevention and management of this disorder and related complications.
A Collaborative Approach to Promote Sustainable Learning for Vulnerable Learners in Zimbabwean Rural Secondary Schools
Authors: Chidakwa Nowell , Lunga Prosper , Khanare Fumane Portia
Published: October 2024

Purpose. Many children who attend rural schools are faced with challenges which make them vulnerable. Vulnerability does not only affect those learners, but it also disrupts the teaching and learning process; that is teachers and other learners and the well-being of people in the community.
Arguably, the responsibility of supporting learners who are vulnerable so that they can attain an education which is sustainable rests in the hands of the entire community.
The purpose of this study was to explore how a collaborative approach utilising community capitals can promote sustainable learning for vulnerable learners in Zimbabwean rural secondary schools. The study used the Community Capitals Framework (CCF) as the analytical framework for the study.
Methodology. The study employed a qualitative methodology using Participatory Action Research (PAR) and Critical Emancipatory Research (CER) paradigms. Data were generated through discussion meetings and photovoice with learners, teachers, and parents from two rural secondary schools in Zimbabwe. Fairclough’s (1992) critical discourse analysis principles and a photovoice methodology were used for data analysis.
Results. Results show that there is a need to develop a good learning environment, community engagement, and untap opportunities in local capitals to support the vulnerable learners, enhancing sustainable learning. The study also stresses the need for a positive relationship and engagement with communities, alongside leveraging all the types of capital in the community, including human capital, cultural capital, built capital, and social capital to mitigate some of the risks that learners may face.
Conclusions. From the study, it is evident that a stakeholder-supported approach and leveraging on community capital is an appropriate way of addressing learner vulnerability and fostering learning in the rural secondary schools in Zimbabwe. The involvement of the community can also be used as a force to encourage the development of an environment conducive to learning that will foster the achievement of the education goals for vulnerable learners.
The Concept of Flexible Learning for Teaching Art Disciplines in Elementary Schools for National Minorities in modern PR China
Authors: He Lina , Liu Xi
Published: October 2024

The concept of flexible learning is increasingly important in contemporary education systems, particularly for teaching art and aesthetic disciplines. In China, this approach is especially relevant in schools serving national minorities, where diverse cultural and linguistic backgrounds necessitate a more adaptable and inclusive educational framework.
This article aims to explore the implementation of flexible learning for teaching art and aesthetic disciplines in modern elementary schools in China, focusing on the experiences and strategies used to organise the educational process for representatives of national minorities.
When writing the article, the methods typical for researching papers in the field of general education and pedagogical comparative studies were used, in particular: literature review, case studies, document analysis, comparative analysis, observation.
The article results. Flexible learning refers to educational approaches that provide students with choices regarding how, what, when, and where they learn. It emphasises adaptability to individual learning needs, preferences, and cultural contexts. Implementing flexible learning in art and aesthetic disciplines involves several strategies to accommodate the unique needs of national minority students (such as cultural and artistic integration, use of technology, community involvement and flexible learning environments) and is widely used in PR China in regions with significant populations of national minorities, providing valuable results. However, implementing flexible learning for art and aesthetic disciplines in schools for national minorities comes with challenges, including resource limitations and the need for special programs of teacher training activities including cultural sensitivity, which are the point of constant attention of the Chinese government.
The study concludes that the implementation of flexible learning for teaching art and aesthetic disciplines in modern elementary schools in China, particularly for national minorities, demonstrates a commitment to inclusivity and adaptability in education. By integrating bilingual education, technology, community involvement, and flexible learning environments, these schools can provide a more personalised and culturally relevant education for their students. Despite the challenges, the benefits of this approach are significant and include promoting cultural preservation, artistic expression, and social cohesion.
Enhancing Human Knowledge and Capabilities with Artificial Intelligence Tools for Education
Authors: Jackson Emerson Abraham , Jackson Hudson F.
Published: October 2024

This study explores the different ways Artificial Intelligence (AI) tools bolster human knowledge and boost intellectual and creative efforts within the educational sector. It provides a broad examination of AI's potential to enhance educational processes and outcomes while also assessing the ramifications of AI-driven creative destruction on the job market encompassing both job displacement and the emerging scope for new knowledge creation.
Purpose. The study aims to explore the different ways in which AI tools enhance human knowledge and capabilities and their role in augmenting human intellectual and creative endeavours in education. By examining how AI can improve educational processes and outcomes, it highlights the potential for significant advancements. Additionally, the study critically examines the implications of AI-driven creative destruction on the job market, focusing on the education sector. This includes understanding both job displacement and the creation of new opportunities that require advanced skills.
Methods. This research involves a detailed analysis of various AI applications across the education domain. It employs virtual interviews with students and educators to provide detailed examples of AI's impact and reviews existing literature to contextualise these findings within broader economic implications. By focusing on the education sector, the study provides a comprehensive overview of how AI is being implemented and the outcomes of these implementations. This approach allows for a thorough understanding of both the benefits and challenges connected with AI integration.
Results. The study suggests that AI significantly improves data processing capabilities, leading to notable advancements in educational research and personalised learning. These improvements can facilitate decision-making and innovation. However, AI also disrupts traditional employment patterns, displacing routine jobs that are easily automated. Conversely, it creates new roles that demand advanced technical skills and continuous education, highlighting a shift in the job market toward more specialised and high-skill positions.
Conclusion. While AI can present substantial benefits in terms of efficiency and innovation, it poses significant challenges in the form of job displacement. To manage these transitions effectively, strategic responses from policymakers and educational institutions are essential. These strategies should aim to ensure equitable access to AI’s benefits and support workforce adaptation. By fostering a balanced integration of technological advancements and human well-being, it is possible to mitigate the negative impacts while maximising the positive outcomes of AI.
Components in Lesson Planning for Secondary School Teachers in Tanzania: Implications for Supervision and Teachers’ Training
Authors: Omollo Abich , Matete Rose , Loisulie Paul
Published: October 2024

Purpose. The purpose of the study was to identify specific components of a lesson plan that teachers struggle to design.
Methodology. The study used a qualitative research approach and an exploratory case study design. The criterion-purposeful sampling technique was employed to select eighteen (18) participants from six public secondary schools in the Kilimanjaro region of Tanzania. The study participants comprised six heads of secondary schools, six internal school quality assurance officers, and six teachers. Through semi-structured interviews and document reviews, data on specific components of the lesson plan that teachers find challenging to design was collected. The reviewed documents included school performance evaluation reports (SPERs) and lesson plans. The researchers employed thematic analysis methods. The study also followed all necessary principles of research ethics, including obtaining participants’ consent and employing pseudonyms.
Results. The study found that teachers were struggling in formulating a coherent statement of specific lesson objectives, teaching and learning materials, and teaching and learning activities. The study also demonstrated that teachers faced difficulties in selecting effective teaching and learning approach, establishing assessment criteria, and conducting proper lesson evaluation.
Conclusion. We conclude that inadequate design of one component of the lesson plan negatively affects the overall quality of the lesson plan, the delivery of lessons in the classroom, and the quality of education. Therefore, instructional supervisors and teacher trainers must take immediate action to assist teachers in developing lesson planning skills. This endeavour will not only result in improved lesson planning and delivery by teachers, but it will also contribute to an overall improvement in student learning and educational quality.
Artificial Intelligence Assistance and Cognitive Abilities: Harnessing AI-Assisted Heuristic Methods for Transitioning from Critical to Creative Thinking in English Language Learning
Authors: Roozafzai Zahra Sadat
Published: October 2024

Transitioning from critical to creative thinking is an essential component of English language learning, fostering problem-solving abilities, innovative idea generation, and effective communication skills.
Purpose. This study examines the potential of AI-assisted heuristic methods in facilitating this cognitive shift.
Methodology. Three distinct AI-driven approaches are investigated: adaptive learning systems, intelligent tutoring, and data-driven feedback. A mixed-methods approach is employed to evaluate the effectiveness of the AI-assisted heuristic methods and learners' experiences during the intervention. The study involves 60 participants, divided into three groups of 20, each exposed to one of the three AI-driven methods. English language learning resources, including reading passages, audio recordings, and interactive exercises, are integrated with the AI-assisted techniques. The 8-week intervention commences with a pre-test assessing participants' initial critical and creative thinking skills. Post-tests and surveys are administered following the intervention to measure cognitive development and gather feedback on learners' experiences.
Results. Results demonstrate significant improvements in problem-solving and originality of idea generation among participants. Furthermore, learners report positive experiences and recognize the value of AI-driven approaches in personalizing learning and promoting cognitive growth. However, challenges such as technological barriers and teacher training needs are highlighted. The current research underscores the potential of AI-assisted heuristic methods in English language learning, offering valuable insights into effective teaching strategies, learning tools, and platforms.
Conclusion. Findings contribute to the development of innovative interventions supporting learners in acquiring essential thinking skills amidst rapid technological advancements, ultimately empowering them to succeed in today's interconnected and knowledge-driven world.
АБСЦЕСС СЕЛЕЗЕНКИ И ГЕПАТИТ ПРИ БРУЦЕЛЛЕЗЕ: КЛИНИЧЕСКИЙ СЛУЧАЙ
Authors: Л.А. Муковозова , А.З. Токаева , Н.Б. Бекенова , Е.М. Смаил
Published: October 2024

Резюме Описан клинический случай острого бруцеллеза, подтвержденного положительными результатами реакции Райта (1:800 и в динамике 1:3200) с клиническими проявлениями преимущественного поражения печени в виде гепатита (увеличение печени, желтушная окраска кожи и склер, АЛТ – 0,52 мккат/л, общий билирубин – 67,68 мкмоль/л, прямой билирубин – 37,6 мкмоль/л, непрямой билирубин – 30,08 мкмоль/л) и селезенки в виде абсцесса (увеличение селезенки, заключение ультразвукового исследования – абсцесс селезенки). Отмечается, что и в современных условиях при бруцеллезе сохраняется возможность формирования метастатических очагов в различных органах с некрозом тканей.

Clinical case of acute brucellosis confirmed by positive Wright test results (1:800 and 1:3200 in dynamics) with clinical manifestations of predominant liver damage in the form of hepatitis (enlargement of the liver, icteric coloration of the skin and sclera, ALT - 0.52 μkat/l, total bilirubin - 67.68 μmol/l, direct bilirubin - 37.6 μmol/l, indirect bilirubin – 30.08 µmol/l) and spleen in the form of abscess (enlargement of the spleen, the conclusion of ultrasound examination - abscess of the spleen) is described. It is noted that in brucellosis and in modern conditions, the possibility of the formation of metastatic foci in various organs with tissue necrosis remains.

Гепатит түрінде бауыр зақымдалуы(бауырдың ұлғаюы, көздің және терінің сарғаюы, АЛТ – 0,52 мккат/л, жалпы билирубин – 67,68 мкмоль/л, турабилирубин – 37,6 мкмоль/л, тура емес билирубин – 30,08 мкмоль/л) және көк бауырдың зақымдалуы сияқты клиникалық белгілермен, оң Райт реакциясымен расталған (1:800 және динамикада 1:3200) жедел бруцеллез клиникалық жағдайы сипатталды. Айта кетерлік, қазіргі заманда да бруцеллез кезінде тіндердің некрозымен әр-түрлі органдарда метастатикалық ошақтардың пайда болуы байқалады.
ЦИФРОВИЗАЦИЯ И ЕЕ ЭКОНОМИЧЕСКОЕ ВЛИЯНИЕ НА ПРОИЗВОДИТЕЛЬНОСТЬ ТРУДА
Authors: БУЛГАРОВ М.А. , ЗОЛКИН А.Л. , КУДЕЛЯ Н.С. , КУДЕЛЯ Е.С.
Published: October 2024

Цифровые технологии пронизывают все сферы бытовой и производственной жизни современного человека. Наличие многофункционального гаджета, способного эффективно решать большинство бытовых потребностей человека в настоящий момент является обыденностью. В производственной сфере цифровые технологии заменяют процессы, ранее выполняемые людьми, позволяя повысить эффективность использования имеющихся ресурсов. Трудовые ресурсы как основной и главный элемент производства не остается в стороне, эффективность использования которого обсуждается в большинстве современных исследований. Использование цифровых технологий способствует ускорению взаимодействия между производителями и потребителями и обеспечивает эффективную обратную связь. Повышение производительности труда благодаря цифровым технологиям приводит к уменьшению производственных затрат и увеличению объема выпускаемой продукции, что в свою очередь повышает конкурентоспособность, улучшает качество товаров и услуг, а также расширяет их ассортимент.

Digital technologies permeate all spheres of everyday and industrial life of a modern person. The presence of a multifunctional gadget capable of effectively solving most of a person's household needs is currently commonplace. In the manufacturing sector, digital technologies replace processes previously performed by people, allowing for more efficient use of available resources. Labor resources as the main and main element of production are not left aside, the effectiveness of which is discussed in most modern studies. The use of digital technologies helps to accelerate the interaction between producers and consumers and provides effective feedback. Increasing labor productivity due to digital technologies leads to a reduction in production costs and an increase in the volume of products, which in turn increases competitiveness, improves the quality of goods and services, and expands their range.
РАЗВИТИЕ ЭКОНОМИКИ ЗАМКНУТОГО ЦИКЛА: ПОДХОДЫ ПЕРЕДОВЫХ ЗАРУБЕЖНЫХ СТРАН И ЛУЧШИЕ ПРАКТИКИ РЕАЛИЗАЦИИ КОНЦЕПТА В РОССИИ
Authors: ЕЛЕЦКИЙ А.Н. , МИЩЕНКО К.Н.
Published: October 2024

В статье анализируются ключевые аспекты внедрения концепта экономики замкнутого цикла в мировой экономике. Рассматривается внедрение данного концепта в Китае и Европейском Союзе, в том числе во Франции. Выделены основные аспекты внедрения циркулярной экономики в России. Акцентировано внимание на использовании экономики замкнутого цикла в качестве драйвера развития Ростовской области как передового российского региона в рамках зелёной трансформации.

The article analyzes the key aspects of the introduction of the concept of closed-loop economics in the global economy. The implementation of this concept in China and the European Union, including France, has been considered. The main aspects of the introduction of the circular economy in Russia are highlighted. Attention is focused on the use of a circular economy as a driver of the development of the Rostov region as an advanced Russian region within the framework of green transformation.
АНАЛИЗ СУЩЕСТВУЮЩИХ МОДЕЛЕЙ ПРОЕКТНОГО УПРАВЛЕНИЯ В АГРОПРОМЫШЛЕННОМ КОМПЛЕКСЕ
Authors: ГУСЕВА М.Н. , ВЫХОДЦЕВА Е.А. , БРИКОШИНА И.С. , ТАМОЯН П.Г. , ЛЯЗЕР А.С.
Published: October 2024

Данное исследование направлено на анализ существующих моделей проектного управления в агропромышленном комплексе (АПК). Агропромышленный комплекс является ключевой отраслью экономики, и эффективное управление проектами в этой сфере имеет стратегическое значение для обеспечения устойчивого развития и конкурентоспособности предприятий. В рамках исследования будет проведен обзор существующих моделей проектного управления, применяемых в агропромышленном комплексе, с учетом специфики отрасли. Будут рассмотрены как классические методики управления проектами, так и инновационные подходы, адаптированные под особенности сельскохозяйственного сектора. Целью исследования является выявление наиболее эффективных моделей проектного управления, способствующих повышению эффективности проектной деятельности в агропромышленном комплексе. Результаты исследования могут быть использованы руководителями предприятий АПК для оптимизации управления проектами, улучшения планирования и контроля за реализацией проектов, а также для повышения конкурентоспособности компаний в данной отрасли.

This study is aimed at analyzing existing models of project management in the agro-industrial complex (AIC). The agro-industrial complex is a key sector of the economy, and effective project management in this area is of strategic importance for ensuring sustainable development and competitiveness of enterprises. As part of the study, an overview of existing project management models used in the agro-industrial complex will be conducted, taking into account the specifics of the industry. Both classical project management techniques and innovative approaches adapted to the specifics of the agricultural sector will be considered. The purpose of the study is to identify the most effective models of project management that contribute to improving the efficiency of project activities in the agro-industrial complex. The results of the study can be used by the heads of agricultural enterprises to optimize project management, improve planning and control over the implementation of projects.