bluuebunny/crossref_metadata_2025_split huggingface dataset:
INNOVATIVE PEDAGOGICAL TECHNOLOGIES IN HIGHER EDUCATION IN THE CONDITIONS OF TRANSFORMATION OF THE EDUCATIONAL ENVIRONMENT
Authors: Koroban Oksana 
Published: December 2023

The article provides an overview of the current state of higher education, challenges faced by traditional teaching methods, as well as ways to solve these problems with the help of innovative pedagogical technologies. The purpose of the article is to determine the role of innovative pedagogical technologies in higher education in the context of the transformation of the educational environment to increase the effectiveness of education. The peculiarities of the use of innovative pedagogical technologies implemented in higher education are analyzed. Attention is focused on the importance of adaptation to the changing educational environment and the use of innovative pedagogical technologies to improve the quality of teaching and learning. Specific examples of innovative pedagogical technologies and their advantages and disadvantages in higher education are provided, as well as recommendations for further research and implementation. It has been proven that the integration of innovative pedagogical technologies in higher education can provide new opportunities for personalized and flexible learning, strengthen interaction and cooperation between teachers and students of higher education, and contribute to increasing the efficiency of the educational process. In general, the article provides a comprehensive analysis of innovative pedagogical technologies in higher education, their advantages, problems and considerations, as well as real examples of their successful implementation and recommendations for further research to solve the problems of using innovative pedagogical technologies in higher education. These studies should be focused on the development of best practices for integrating these technologies into the educational process of higher education institutions, ensuring their availability and solving problems of bias and discrimination, studying their impact on the learning outcomes of students of higher education. In addition, research should also examine the ethical and social implications of these technologies and their impact on the individual and society as a whole.
Keywords: innovative pedagogical technologies; educational environment; e-learning; blended learning; mobile learning; gamification; virtual reality; augmented reality; artificial intelligence; machine learning.
FORMATION OF PRACTICAL SKILLS OF FUTURE TECHNOLOGY TEACHERS IN HIGHER EDUCATION INSTITUTIONS
Authors: Savchenko Vitalii 
Published: December 2023

Today’s modern society needs competent specialists who know how to think creatively, find original solutions and are ready for innovative activities. The question of the development of professional competences among students, their mastery of practical methods and technologies in a specific field is extremely relevant. The author emphasizes that the strengthening of professional competences, in particular, determines the ability of the future technology teacher to act successfully in new, unforeseen conditions.The article examines the method of forming the practical skills of future technology teachers in the process of a technological workshop, characterizes the technologies, methods of metalworking operations that ensure the formation of the professional competence of future technology teachers, such as the ability to make products with the help of various hand tools, hand electrified tools, as well as a wide range of additional technological equipment.The author of the article came to the conclusion that that the formation of practical skills of future technology teachers in institutions of higher education in the process of mastering the specified discipline “Technology practicum” involves the following stages of its mastering by future technology teachers: alignment, marking, bending, cutting, sawing, sawing.
Keywords: future teachers of technology; stages of learning locksmith processing; design and technological activity; locksmith operations.
THE CURRENT STATE AND PROSPECTS FOR THE DEVELOPMENT OF TOURISM ENTITIES IN UKRAINE
Authors: Slatvinska Lesja 
Published: December 2023

The article analyzes the current state of tourism entities in Ukraine under martial law and identifies the prospects for development in the post-war period. It is substantiated that the dynamism, scale and diversification of tourism as a type of economic activity in the face of unfavorable conditions in the tourism market contribute to the preservation and restoration of positive development trends. It is substantiated that the economic contribution of the national tourism sector faces great opportunities, on the one hand, and threats, on the other, due to the pressure of competition and complacency about the constant attractiveness of Europe.
The unprecedented conditions in which Ukraine has found itself as a result of Russia's full-scale military invasion have provoked dramatic changes in all spheres of public life.
Contrary to various forecasts, Ukraine has not only survived, but, despite very painful losses, is heroically fighting for its freedom and independence.
In the wartime and postwar periods in Ukraine, the progress of most domestic tourism actors will be difficult, as tourism competence is distributed at the local, national, and European levels.
To succeed, tourism must become a top-level priority for Ukraine. The interests of the tourism business and relevant ministries and policy makers need to be aligned so that the potential of tourism can be realized. This will lead to the effective development and coordination of strategic policies that include appropriate consultations with tourism stakeholders.
Promising for further research are the issues of scaling up the national tourism product by domestic tourism entities through integration with tourist routes of European countries, which will contribute to the development of technology management processes.
FEATURES OF THE IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN CONSTRUCTION
Authors: Lialiuk Olena , Osypenko Roman 
Published: December 2023

The paper considers the implementation of artificial intelligence(AI) in the construction industry. The main directions of AI implementation at five stages of designing buildings and structures, organization of construction and operation have been determined. At the first stage of "Planning and Design", information on similar construction projects should be collected and analyzed, taking into account financial resources, deadlines, features of buildings and other important factors, use automated design that takes into account geodetic data, geological features, climatic conditions, urban planning requirements, specifications and other factors to optimize the design. At the second stage, "Assessment of risks and prospects", AI uses forecasting algorithms to identify possible risks and determine their management strategies. The third stage, "Resource and supply management", optimizes logistics to predict building material needs and automates supply chain management, employee scheduling using machine learning algorithms to predict labor needs and optimize schedules. The fourth stage, "Automation and Monitoring", uses automated systems and drones controlled by artificial intelligence to perform routine and dangerous tasks on the construction site, and deploys a monitoring system that tracks the progress of construction work and other key parameters in real time.At the fifth stage, "Quality assessment and analysis of the completed project", data analysis is used to assess the quality of the completed work, automated verification of the completed work and determination of compliance with DBN standards, the technical task for the design, analysis of planning and spent resources.
The application of artificial intelligence is considered on the example of resource planning in construction, which may include the use of various mathematical models and algorithms to optimize the use of resources. The advantages and disadvantages of the use of artificial intelligence and the prospects for its development in the construction industry are indicated.
THE OPTIMAL CONTROL PROBLEM FOR SYSTEMS OF INTEGRO-DIFFERENTIAL EQUATIONS ON THE HALF-AXIS
Authors: Lakhva R. 
Published: December 2023

This article is devoted to exploring the optimal control problem for a system of integro-differential equations on the infinite interval. Sufficient conditions for the existence of optimal controls and trajectories have been obtained in terms of right-hand sides and the quality criterion function.

Integro-differential equation systems are the mathematical models for many natural science processes, such as those in fluid dynamics and kinetic chemistry, among others. Many of these equations have the control that minimizing specific functionals related to the dynamics of these processes.

This work specifically focuses on deriving sufficient optimality conditions for integro-differential systems on the half-axis. The complexity of the research is in the following aspects: Firstly, the problem at hand involves optimal control with an infinite horizon, which makes the direct application of compactness criteria like the Arzela-Ascoli theorem impossible. Secondly, the problem is considered up to the moment $\tau$ when the solution reaches the boundary of the domain. This reach moment depends on the control $\tau = \tau(u)$. Hence, the solution to the problem is essentially represented by the triplet $(u^*, x^*, \tau^*)$ — the optimal control, the optimal trajectory, and the optimal exit time. We note that a particular case of this problem is the problem of optimal speed.

The main idea of proving the existence of an optimal solution relies on a compactness approach and involves the following steps: identifying a weakly convergent minimizing sequence of admissible controls, extracting a strongly convergent subsequence of corresponding trajectories, and justifying boundary transitions in equations and the quality criterion. The work provides a problem statement, formulates, and proves the main result.
ПСИХОЛОГІЧНІ АСПЕКТИ ДИНАМІКИ ПЕРЕЖИВАННЯ ВТРАТИ
Authors: КОРОЛОВИЧ Оксана 
Published: December 2023

Стаття присвячена теоретичному аналізу проблеми психологічних аспектів динаміки переживання втрати людиною. Встановлено зміст феномену втрати, досліджено різновиди втрати, реакції людини на втрату: нормальні, патологічні, травмівні. Досліджено чинники та особливості динаміки горювання, як комплексної реакції людини на травму, яка включає у себе такі рівні як: афективний, когнітивний, соціальний, ціннісний, тілесний. Встановлено, що при нормальному протіканні процесу опрацювання втрати, людина вирішує такі завдання: визнання втрати, усвідомлення емоцій, пов’язаних із втратою, вивчення, дослідження та інтеграція (втрати у своє нове життя без втраченого). При патологічному горюванні ця динаміка порушується, що призводить до руйнівних для особистості та системи її взаємодій, наслідків.
Molecular Docking Senyawa Jambu Biji (Psidium guajava L.) terhadap Reseptor Estrogen Alfa Sebagai Model Kandidat Antikanker Payudara
Authors: Arifin Ibrahim , Sabandar Handini Widya Prameswari , Purnomo Hari 
Published: December 2023

Kanker payudara terjadi karena adanya ekspresi reseptor estrogen alfa (RE-α) yang berlebihan dan tingginya kadar estrogen. Penggunaan tamoksifen sebagai antagonis RE-α menimbulkan berbagai efek samping, sehingga perlu dikembangkan senyawa bahan alam yang berpotensi sebagai antikanker payudara. Penelitian ini bertujuan untuk mengetahui interaksi senyawa kuersetin dari daun jambu biji pada RE-α sebagai antikanker payudara berdasarkan molecular docking. Penelitian ini menggunakan metode molecular docking dengan ligan uji kuersetin dan ligan pembanding tamoksifen. Pengujian dilakukan terhadap RE-α dengan kode PDB: 1UOM, 2IOG, 2OUZ, 3ERT, dan 5FQR. Analisis data dilakukan dengan cara membandingkan skor docking antara ligan native, kuersetin, dan tamoksifen menggunakan software PLANTS dan Pymol. Hasil uji pada kelima kode PDB menunjukkan bahwa skor docking kuersetin lebih tinggi dibandingkan skor docking ligan native dan tamoksifen. Pada kode PDB 1UOM, skor docking kuersetin, ligand native dan tamoksifen berturut-turut -71,098; -133,407 dan -93,788. Meski demikian, kuersetin dapat berikatan dengan asam amino-asam amino yang terdapat pada RE-α yang diduga berperan dalam menghambat pertumbuhan sel kanker payudara.
Modeling The Impact Analysis of The Covid-19 Pandemic On The Tourism Sector In Palopo City With A Nonparametric Regression Approach
Authors: Denysia Denysia , Hidayat Rahmat 
Published: December 2023

The implementation of social distancing causes a huge effect on the life sector in Indonesia, one of which is the tourism sector which has experienced the greatest impact due to this policy. One of the treatments that can be done is to find out the factors that are thought to have an influence on the increase in the tourism sector in Palopo city, many methods can be done, one of which is the regression analysis method. This study uses Spline non-parametric regression in modeling the data. The non-parametric regression model was chosen based on results of the identification that the data does not follow a certain distribution pattern. Gross regional domestic product data is used in the model. This can be seen from the resulting value of 76.94%. Gross Regional Domestic Product data is also modeled using multiple linear regression. This modeling is intended as a comparison model. The results show that the use of the non-parametric Spline better model in modeling the data compared to multiple linear regression.
Higher Education of Latin America in the Trajectory of International Student Mobility
Authors: Ermolieva E. G. 
Published: December 2023

Latin America and Caribbean Region (LAC), with a student enrollment about 30 million, has its own space in the global inter-university exchange. And the article aims to observe current trends and specific features of the internationalization of LAC higher education systems. The author analyzes different models of interaction of the region, firstly, with the countries of the global “North”, secondly, in the “South-South” format, and in a trilateral model – “North-South-South”. Also, the article studies some versions of intraregional cooperation in South America, as well as the Network university consortium (BRICS as example). The research exposes a new trend, the participation of LAC countries in the virtual student mobility, which has become a “new normal” during the pandemic period and has retained its significance at the present time. A special place is given to Russian-Latin American cooperation which has a long history. Additionally, the opportunities and difficulties of this bi-regional partnership in the higher education sphere at the present time are analyzed.Despite the fact that the Latin American region lies somewhat away from the main routes of global interuniversity exchange, it is gradually increasing its share in the flow of mobile students by active participation in triangle formats. Simultaneously, the region develops new options for intra-regional cooperation to increase the competitiveness of Latin American universities in the international education market.
Prevalence of Mild Cognitive Impairment in Southern Regions of Colombia
Authors: Bonilla-Santos Jasmin , González-Hernández Alfredis , Cala-Martínez Dorian Yisela , Gómez-Morales Duván Fernando , Calceto-Garavito Laura Natalia , Forero-Aldana Arnulfo Eduardo , González-Montealegre Rodrigo Alberto , Cardona Cumaco Yeing Alexandra , Rojas-Bernal Luz Angela , Zabaleta-Orozco Mario Alberto , Parra Mario Alfredo 
Published: December 2023

Background: Recent reports suggest that by 2050 there will be an increase of around 310% of cases affected by dementia in Latin American countries. A previous study in a Southern region reported one of the highest prevalences of dementia in Latin America. Objective: To investigate the prevalence of mild cognitive impairment associated with low education, rurality, and demographic characteristics. Methods: A cross-sectional study recruited a community-dwelling sample of 823 adults from rural and urban areas of two Southern provinces of Colombia from 2020–2022. Participants were assessed with a neuropsychological protocol validated in Colombia. To obtain general and region-specific prevalence rates, age, sex, schooling, and socioeconomic level were considered and controlled for. Results: Most of the participants reported low education and socioeconomic level, the participation of women was higher. It was determined that the prevalence of mild cognitive impairment (MCI) was 53.6%, with 56.6% in the province of Caquetá followed by 51.9% in the province of Huila. The amnestic MCI represented 42.6%, the amnestic multi-domain was 39%, the non-amnestic 16.55%, and the non-amnestic multi-domain 1.81%. Our participants reported comorbidities such as diabetes and hypertension. We also observed a relationship between exposure to pesticides and MCI. Conclusions: We observed one of the highest prevalences of MCI in Latin America reported to date. Variables such as age, gender, and education proved risk factors for MCI in the explored regions. Our findings are very much in line with recent studies that highlight the influence of non-canonical risk factors of dementia in underrepresented countries from Latin America.
Parental Experiences with Newborn Screening and Gene Replacement Therapy for Spinal Muscular Atrophy
Authors: Meyer Alayne P. , Connolly Anne M. , Vannatta Kathryn , Hacker Natasha , Hatfield Andrea , Decipeda Abigail , Parker Patricia , Willoughby Ava , Waldrop Megan A. 
Published: December 2023

Background: Spinal muscular atrophy (SMA) is a genetic neurodegenerative disorder with onset predominantly in infants and children. In recent years, newborn screening and three treatments, including gene replacement therapy (Onasemnogene abeparvovec-xioi), have become available in the United States, aiding in the diagnosis and treatment of children with SMA. Objective: To evaluate parents’ experiences with newborn screening and gene replacement therapy and to explore best practices for positive newborn screen disclosure and counseling of families. Methods: We conducted semi-structured interviews ( n = 32) and online surveys ( n = 79) of parents whose children were diagnosed with SMA (on newborn screening or symptomatically) and treated with gene replacement therapy. Results: Gene replacement therapy was most parents’ first treatment choice, although concerns regarding long term efficacy (65%) and safety (51%) were common. Information provided during the newborn screening disclosure was quite variable. Only 34% of parents reported the information provided was sufficient and expressed need for more information about treatment. Although many parents experienced denial of the diagnosis at initial disclosure, 94% were in favor of inclusion of SMA on newborn screening. Parents were almost universally anxious following diagnosis and over half remained anxious at the time of study participation with uncertainty of the future being a key concern. Many parents had difficulty processing information provided during their first clinic appointment due to its complexity and their emotional state at the time. Conclusions: Utilizing this data, we provide a recommendation for the information provided in newborn screening disclosure, propose adjustments to education and counseling during the first clinic visit, and bring awareness of parents’ mental health difficulties.
Machine Learning-Based Classification of Parkinson’s Disease Patients Using Speech Biomarkers
Authors: Hossain Mohammad Amran , Amenta Francesco 
Published: December 2023

Background: Parkinson’s disease (PD) is the most prevalent neurodegenerative movement disorder and a growing health concern in demographically aging societies. The prevalence of PD among individuals over the age of 60 and 80 years has been reported to range between 1% and 4%. A timely diagnosis of PD is desirable, even though it poses challenges to medical systems. Objective: This study aimed to classify PD and healthy controls based on the analysis of voice records at different frequencies using machine learning (ML) algorithms. Methods: The voices of 252 individuals aged 33 to 87 years were recorded. Based on the voice record data, ML algorithms can distinguish PD patients and healthy controls. One binary decision variable was associated with 756 instances and 754 attributes. Voice records data were analyzed through supervised ML algorithms and pipelines. A 10-fold cross-validation method was used to validate models. Results: In the classification of PD patients, ML models were performed with 84.21 accuracy, 93 precision, 89 Sensitivity, 89 F1-scores, and 87 AUC. The pipeline performance improved to accuracy: 85.09, precision: 92, Sensitivity:91, F1-score: 89, and AUC: 90. The Pipeline methods improved the performance of classifying PD from voice record. Conclusions: Our study demonstrated that ML classifiers and pipelines can classify PD patients based on speech biomarkers. It was found that pipelines were more effective at selecting the most relevant features from high-dimensional data and at accurately classifying PD patients and healthy controls. This approach can therefore be used for early diagnosis of initial forms of PD.
Status of carnitine and circulating amino acids and its association with pre-frailty, sarcopenia and diet in an Uruguayan older population
Authors: Moirano Marina , Sgaravatti Aldo , Massa Fernando , Fajardo Gabriela , Riverón Noelia , Sena Geraldine , Simoncelli Mariana , Sanchez Florencia , Guevara Natalia , Vazquez Marta , Maldonado Cecilia 
Published: December 2023

BACKGROUND: Frailty is a clinical-biological syndrome in older adults that carries an increased risk for poor health outcomes. Biomarkers of disability are being studied and some acylcarnitines and amino acids are part of the predictive models. OBJECTIVE: To characterize the status of L-carnitine, some acylcarnitines and amino acids and relate them to frailty, sarcopenia and diet in a community-dwelling Uruguayan older population. METHODS: Participants were enrolled and assessed through a multi-step process, that included frailty and sarcopenia criteria. L-carnitine, its acyl derivatives and amino acids were determined in blood by LC-MS/MS and dietary intake by a 24-h recall and a food frequency questionnaire. RESULTS: Sixty-three older adults were enrolled, and 54 completed the initial assessment. Pre-frailty criteria were fulfilled by 41 participants and frailty only by one. No nutritional indicators of undernutrition were found. Probable sarcopenia was found in 20 cases. Males consumed more total meat and red meat than women. Hexanoylcarnitine levels were higher in pre-frail/frail individuals and in weak ones. Analysis by sex showed a distinct pattern between gender, being significant only for weak females. Methionine also showed some differences between sexes. Weak males presented significantly higher levels of methionine, whereas weak females showed significantly lower ones. CONCLUSIONS: No associations were found for diet components and L-carnitine, acylcarnitines and amino acids values, except for the percentage of animal protein that was higher in weak males. The clinical impact of these results needs further investigation.