bluuebunny/crossref_metadata_2025 huggingface dataset:
Early Longitudinal Imaging in Parkinson’s Progression Markers Initiative Using [18F] AV-133 and DaTscanTM (PPMI Early Imaging) v1
Authors: Marek Kenneth
Published: April 2024

This protocol details early longitudinal imaging in Parkinson’s progression markers initiative using [18F] AV-133 and DaTscan™ (PPMI Early Imaging).
Immune stimulation of human induced pluripotent stem cells (hiPSC)-derived glia with lipopolysaccharide (LPS) v1
Authors: Nonose Yasmine , Croft Gist
Published: April 2024

Human induced pluripotent stem cells (hiPSC) are widely used as a human development and disease model system. However, for the development of optimized disease models as platforms to uncover new drugs, human patient-derived iPSCs must effectively differentiate into cell states that faithfully recapitulate hallmarks of diseased cells and tissues. Lipopolysaccharide (LPS) is a potent activator of immune cells, including B cells, monocytes, macrophages, and other LPS-reactive cells like microglia and astrocytes. LPS can trigger the secretion of cytokines like interleukin-6 (IL-6), interleukin-1ꞵ (IL-1ꞵ), or TNF-α, the expression of inflammatory markers (HLA-DR, CD68), changes in cell morphology, and activation pathways to respond to the immune challenge. The mechanism behind LPS involves the activation of toll-like receptor 4 (TLR4) and nuclear factor kB (NFkB). Considering that LPS is a pro-inflammatory bacterial antigen widely used in the literature as an activation stimulus, this protocol describes the application of LPS to activate iPSC-derived microglia in vitro. We propose the use of LPS as a positive control for microglia activation assays (e.g., phagocytosis assay, cytokine production and secretion), and as a phenotyping tool to investigate disease-mutated microglia by comparing to disease-relevant stimuli. As an analysis endpoint, this protocol suggests two main readouts: morphology index and expression of inflammatory biomarkers in fixed cells, and measurement of IL-6 in cell culture media.
Incorporation of Ti3C2Tx in Poly (Methyl Methacrylate) Matrices for Non-Volatile Memory Applications
Authors:   Institute of Microengineering and Nanoelectronics (IMEN), Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia, Auliya Rahmat Zaki , Ahmadipour Mohsen ,   Institute of Microengineering and Nanoelectronics (IMEN), Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia, Dee Chang Fu ,   Institute of Microengineering and Nanoelectronics (IMEN), Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia, Ooi Poh Choon ,   Institute of Microengineering and Nanoelectronics (IMEN), Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia
Published: April 2024

MXenes, with their unique surface properties and 2D structure, have demonstrated promising potential in electronic devices, particularly in memory storage. This study explored the potential of 2D Ti3C2Tx for the nonvolatile memory (NVM) application. The simple solution process routes were used to fabricate the two-terminal bistable switching devices. The silver nanowires/nanocomposite/ITO structure was deposited on a glass substrate using spin coating and spray coating techniques. The Ti3C2Tx MXene flakes were incorporated into a poly(methyl methacrylate) (PMMA) polymer host to form the nanocomposite and act as a charge-trapping layer. Meanwhile, PMMA acts as a dielectric layer. The measured current-voltage data showed a bistable current behavior with the presence of a memory window. The fabricated NVM memory devices were reprogrammable when the endurance test was performed and stable up to 1×104 s cycles with a distinct ON/OFF ratio of 103. The conduction mechanisms were identified using the curve-fitting method with double log plots of current-voltage (I-V) data. Based on the obtained I-V characteristics, various conduction mechanisms, especially Schottky and Poole-Frenkel emission, trapped charge limiting current, and space charge limited current, were proposed to be responsible for the bistable switching behavior. Thus, the results of this study provide an experimental basis for using MXene in non-volatile memory applications.
A Systematic Literature Review of Critical Success Factors and Barriers in Lean Supply Chain Management
Authors:   Department of Mechanical and Manufacturing Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, Malaysia, Pardi Hamizah , Ab Rahman Mohd Nizam ,   Department of Mechanical and Manufacturing Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, Malaysia, Saibani Nizaroyani ,   Department of Mechanical and Manufacturing Engineering, Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, Malaysia, Muhamed Ariff Azly ,   Department of Business and Management, Universiti Teknologi MARA, Selangor, Malaysia
Published: April 2024

The objective of this study is to conduct a systematic literature review to identify the barriers and critical success factor that influence in implementation of Lean Supply Chain Management (LSCM) practices in industry. Through this systematic literature review (SLR), it is expected to identify the main gaps related to LSCM implementation in industry and discuss the relevance of research in this topic for indicating the future research direction. A SLR was developed and determined, which involved the selecting of keyword, developing of research question, searching and evaluation of literature for 53 research articles. The content of present of literature was reviewed, critically analysed and synthesised from the perspective of barrier and critical success factors that influence the implementation of LSCM. This study reveals that relationship with supplier, commitment and support by top management are the key critical success factor in lean implementation. Furthermore, the results showed that lack of management commitment and leadership, lack of training and skills, lack of system view or strategy are the barriers in lean implementation. Based on the extensive systematic review of literature, we found of the consistency data between Barriers and Critical Success Factor. This study extends previous studies on LSCM, strengthens the body of knowledge on the issue and consolidates the key LSCM activities, barriers and critical success factors associated with its implementation. The clear identification of these topics can allow researchers and practitioners to predict occasional problems and to set the right standards for the implementation of LSCM.
Incorporating the Internet of Things (IoT) Learning Module into the Smart Building Course
Authors:   Institute of Visual Informatics, Universiti Kebangsaan Malaysia, Malaysia, Sahrani Shafrida , Md Saad Mohamad Hanif ,   Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, Malaysia, A. Mutalib Azrul ,   Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia, Malaysia, Abang Zaidel Dyg Norkhairunnisa ,   Faculty of Engineering, Universiti Malaysia Sarawak, Malaysia
Published: April 2024

The utilization of Internet of Things (IoT) devices is increasing very rapidly, creating a demand for skilled professionals who can navigate the complexities of this technology. It is a crucial educational challenge to prepare undergraduates to become contributors in this emerging field. The curriculum needs to be updated to offer students both theoretical learning and practical application so they can benefit from it. This paper introduces a comprehensive IoT learning module to the final-year students of civil engineering in an elective course, Smart Building. The proposed learning module includes an introduction to IoT concepts and applications, IoT devices, communication protocols, cloud platforms, user interfaces, and IoT risk management and security, all of which can be easily integrated into existing courses. Results from the module are presented using direct and indirect assessments, including assignments, hands-on practical, examinations, and surveys. These assessments are designed to evaluate the students’ understanding and the challenges they encountered in their IoT learning process. The findings indicate that a significant majority, surpassing 90% of the students, have demonstrated understanding of a minimum of three essential components of the fundamental IoT architecture, despite their limited background knowledge at the beginning of the course. Additionally, this learning module can serve as a valuable resource for other educators who intend to deliver IoT-related courses.
Chinese Character Recognition Using Non-negative Matrix Factorization
Authors:   Department of Mathematical & Actuarial Sciences, Lee Kong Chian Faculty of Engineering & Science, Universiti Tunku Abdul Rahman, Jalan Sungai Long, Bandar Sungai Long, 43000 Kajang, Selangor, Malaysia, Voon Chen Huey , Shin Tang Ker ,   Department of Mathematical & Actuarial Sciences, Lee Kong Chian Faculty of Engineering & Science, Universiti Tunku Abdul Rahman, Jalan Sungai Long, Bandar Sungai Long, 43000 Kajang, Selangor, Malaysia, Shean Ng Wei ,   Department of Mathematical & Actuarial Sciences, Lee Kong Chian Faculty of Engineering & Science, Universiti Tunku Abdul Rahman, Jalan Sungai Long, Bandar Sungai Long, 43000 Kajang, Selangor, Malaysia
Published: April 2024

Non-negative matrix factorization (NMF) was introduced by Paatero and Tapper in 1994 and it was a general way of reducing the dimension of the matrix with non-negative entries. Non-negative matrix factorization is very useful in many data analysis applications such as character recognition, text mining, and others. This paper aims to study the application in Chinese character recognition using non-negative matrix factorization. Python was used to carry out the LU factorization and non-negative matrix factorization of a Chinese character in Boolean Matrix. Preliminary analysis confirmed that the data size of and and are chosen for the NMF of the Boolean matrix. In this project, one hundred printed Chinese characters were selected, and all the Chinese characters can be categorized into ten categories according to the number of strokes , for . The Euclidean distance between the Boolean matrix of a Chinese character and the matrix after both LU factorization and NMF is calculated for further analysis. Paired t-test confirmed that the factorization of Chinese characters in the Boolean matrix using NMF is better than the LU factorization. Finally, ten handwritten Chinese characters were selected to test whether the program is able to identify the handwritten and the printed Chinese characters. Experimental results showed that 70% of the characters can be recognized via the least Euclidean distance obtained. NMF is suitable to be applied in Chinese character recognition since it can reduce the dimension of the image and the error between the original Boolean matrix and after NMF is less than 5%.
Major Trends in Public Sector Innovation: A Bibliometric Analysis
Authors:   Department of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia, Sapiyi Saharah , Mohd Suradi Nur Riza ,   Department of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia, Mustafa Zainol ,   Department of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia
Published: April 2024

It is well known that innovation plays a substantial role in the public sector. However, there are concerns about how far public sector innovation (PSI) research has contributed in providing ideas to the government in formulating and implementing public policy. This study intends to investigate how PSI research has progressed and been disseminated, explore major topics mentioned in PSI studies and determine the primary players in PSI studies. This research analysed the bibliometrics of scholarly publications on public sector innovation as of August 2021, as documented in the Scopus database. We analysed the evolution of PSI research in 53 years by assessing published studies, source titles, types of sources and documents, as well as the languages in which the papers have been published. We additionally analysed PSI's main research topics by examining popular subject categories, the most often used keywords and title analysis. Finally, we investigated the key actors in PSI research by focusing at the biggest contributions nations to PSI studies, the major establishments involved, as well as authorship and citation analysis. The conclusions suggested that during the initial stages of PSI development half a century ago, public sector innovation attracted the interest of Eastern and Western scholars, as well as the number of books and articles published each year which have increased dramatically. Although there has good inter-country cooperation exists, a deficit in PSI research also exists from specific nations compared to the rest of the globe. Our results contribute significantly to public sector innovation inclusiveness.
Model of Flipped Classroom Environment for Mastery Learning Approach Using the “ZOOMRBT App”
Authors:   Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn, Malaysia, Nasir Noor Izwan , Ibrahim Mukhtar Marina ,   Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn, Malaysia
Published: April 2024

In the digital era that encourages innovation in educational technology, it is crucial to incorporate the use of technology into pedagogy. Since the inception of hybrid learning and other approaches that involve students and instructors in educational activities, the learning environment has undergone significant changes. By utilizing instructional resources such as textbooks and videos, it has become feasible to engage with students beyond the confines of the classroom and during evening hours. Research conducted on students in grades 8 and 9 in Ontario, Canada, revealed that due to their limited spare time, they opted to study and complete their homework after school. Moreover, they exhibited a clear prioritization of their depth of subject knowledge over other factors. The study aimed to adapt the existing learning environment to establish a new environment conducive to mastery learning. It involved fifteen student participants, including an expert teacher in the flipped classroom teaching method. The study employed qualitative techniques such as focus groups, document analysis, expert agreement percentages, and innovative flipping of the classroom. The study resulted in the identification of five thematic analyses: learning flexibility, application skills, usage of application skills, mastery assessment, and the human touch. Collectively, these qualitative findings provide compelling evidence that the research participants actively engage with various aspects of the flipped learning environment, as outlined by the aforementioned themes. The participants in the case study acted as both fresh and established elements within the flipped learning environment.
Geospatial Technology Intervention Module in Learning and Facilitation (L&F) Amongst Form Two Geography Students
Authors:   Center for Social Studies, Development and Environment, Faculty of Social Sciences and Humanities, National University of Malaysia, 43600 Bangi, Selangor, Malaysia, Mayalagu Ganesan , Jaafar Mokhtar ,   Center for Social Studies, Development and Environment, Faculty of Social Sciences and Humanities, National University of Malaysia, 43600 Bangi, Selangor, Malaysia, Choy Lam Kuok ,   Center for Social Studies, Development and Environment, Faculty of Social Sciences and Humanities, National University of Malaysia, 43600 Bangi, Selangor, Malaysia, Mahmud Mohd Izwan ,   Center for Social Studies, Development and Environment, Faculty of Social Sciences and Humanities, National University of Malaysia, 43600 Bangi, Selangor, Malaysia, Rajoo Manalan ,   Center for Social Studies, Development and Environment, Faculty of Social Sciences and Humanities, National University of Malaysia, 43600 Bangi, Selangor, Malaysia
Published: April 2024

Technological evolution in the 21st Century Learning and Facilitation (L&F) have been significantly affirmed by the Ministry of Education Malaysia (MOE). Nonetheless, the present scenario still indicates the snag of technological development in the education system such as the application of geospatial technology in the subject of Geography in Malaysia which is not significant. Generally, Learning and Facilitation (L&F) of Geography subjects concern conventional activities that do not help much in improving the Spatial Thinking Skills (STS) and student interest. Ergo, Geospatial technology has been observed to have the potential to increase STS and student interest in Geography subjects. This study aims to develop a Geospatial technology intervention module based on the theory of Cognitive Learning, Theory of Constructivism and Bloom’s Taxonomy Theory. The formation of this module adopts Sidek Module Construction Model (MPMS) as the main motivation to complete this module. The contents of the module are also identified through a more comprehensive and analytical and extensive review of past studies done. This study creates draft modules that have four submodules namely Geography Skill, Physical Geography, Human Geography and Area Geography. The module is anticipated to be implemented as an effective L&F material especially in enhancing STS and attracting students to Geography subjects.
The Effects of Increased Distance Travel on the Operating Costs of Freight Truck Vehicles
Authors:   Department of Mechanical and Manufacturing Engineering, The National University of Malaysia, Selangor, Malaysia, Ahmad Siti Aishah Hadawiah , Ab Rahman Mohd Nizam ,   Department of Mechanical and Manufacturing Engineering, The National University of Malaysia, Selangor, Malaysia,   Centre for Automotive Research, Faculty of Engineering and Built Environment, Universiti Kebangsaan, Malaysia, 43600 UKM Bangi, Selangor, Malaysia, Ramli Rizauddin ,   Department of Mechanical and Manufacturing Engineering, The National University of Malaysia, Selangor, Malaysia, Muhamed Ariff Azly ,   Department of Business and Management, Universiti Teknologi Mara, Selangor, Malaysia
Published: April 2024

Transportation industry is an important part of most countries’ economies with significant effects on productivity and social welfare. However, refrigeration has dramatically altered global food transportation efficiencies in the cold supply chain. Hence, a key factor to optimize transportation is by lowering operational costs, with distance travel having a considerable impact. The paper examines how the operational costs of different truck classes is influenced by the distance travelled. The operating cost equation was utilized to make a comparison between vehicle operating costs and to assess how these costs change in relation to travel distance. The equation consists of influential parameters such as fuel cost, driver wage, and maintenance cost of a vehicle. The result showed that the operating cost rate varies among trucks of different classes. According to the results of the equation and effective parameter analysis, 18-ton trucks had the highest cost, followed by 5-ton trucks. This is due to fact that the cost is influenced by factors of travel distance, tolls, and fuel consumption. Furthermore, based on transportation costs, a green practice framework can be constructed to reduce truck costs for each delivery while reducing CO2 emissions to the environment. By taking into account transportation cost factors in the framework of green practices, effective and practical information can be generated such as product delivery schedules to customers and better routes to improve business performance. Finally, effective transportation management can improve inventory flow by enhancing warehouse efficiency, reducing overall lead time, and saving on storage costs.
A Remedial Measure of Multicollinearity in Multiple Linear Regression in the Presence of High Leverage Points
Authors: Saied Ismaeel Shelan , Midi Habshah , Taher Omar Kurdistan M.
Published: April 2024

The ordinary least squares (OLS) is the widely used method in multiple linear regression model due to tradition and its optimal properties. Nonetheless, in the presence of multicollinearity, the OLS method is inefficient because the standard errors of its estimates become inflated. Many methods have been proposed to remedy this problem that include the Jackknife Ridge Regression (JAK). However, the performance of JAK is poor when multicollinearity and high leverage points (HLPs) which are outlying observations in the X- direction are present in the data. As a solution to this problem, Robust Jackknife Ridge MM (RJMM) and Robust Jackknife Ridge GM2 (RJGM2) estimators are put forward. Nevertheless, they are still not very efficient because they suffer from long computational running time, some elements of biased and do not have bounded influence property. This paper proposes a robust Jackknife ridge regression that integrates a generalized M estimator and fast improvised Gt (GM-FIMGT) estimator, in its establishment. We name this method the robust Jackknife ridge regression based on GM-FIMGT, denoted as RJFIMGT. The numerical results show that the proposed RJFIMGT method was found to be the best method as it has the least values of RMSE and bias compared to other methods in this study.
Sofrimento psíquico de trabalhadores de saúde mental em contexto pandêmico e os fatores associados: estudo transversal
Authors: Stander Ana Luisa Camachi , Oliveira Márcia Aparecida Ferreira de , Claro Heloísa Garcia , Boska Gabriella de Andrade , Silva Júlia Carolina de Mattos Cerioni , Barbosa Guilherme Correa
Published: April 2024

Objetivo: Analisar o sofrimento psíquico de trabalhadores dos serviços de saúde mental em contexto pandêmico e identificar os fatores associados. Método: Pesquisa transversal, com 108 trabalhadores de quatro serviços de saúde mental de um município do interior paulista. Coleta de dados realizada on-line entre outubro e dezembro de 2020 por meio de questionário sociodemográfico e Escala Self Report Questionnaire-20 (SRQ-20). Os dados foram analisados por estatística descritiva e por regressão linear múltipla de mínimos quadrados ordinários, na intenção de analisar os fatores associados para a variação no escore da escala. Resultados: Os trabalhadores apresentaram média elevada na escala SRQ-20 (15,07), o que indica grande sofrimento psíquico. Fazer acompanhamento psicológico e/ou psiquiátrico durante a pandemia de covid-19 esteve associado à minimização deste sofrimento, com redução de, em média, três dos sintomas avaliados pela escala. Conclusão: O acompanhamento em saúde mental para os trabalhadores no contexto pandêmico pode ser uma importante estratégia de enfrentamento associada à redução do sofrimento psíquico.
Development and Learning in the Context of Social Interactions: L. Vygotsky vs J. Piaget
Authors: Rubtsov V.V.
Published: April 2024

The article is devoted to the problem of contemporary didactics, touching upon the issue of the structure, transmission and acquisition of knowledge.The focus is on understanding the correlation between the content of knowledge and the way it is translated (transmitted) from one person to another, from an adult to a child. We analyze the initial, joint-distributed form of activity that is specific for efficient teaching of children.
Extracellular DNA level as an indicator of the activity of inflammatory reactions in patients with rheumatoid arthritis and asthma
Authors: Volskiy Nikolay N. , Demchenko Elena N. , Goiman Elena V. , Kozlov Vladimir A. , Gavrilova Elena D.
Published: April 2024

BACKGROUND: We performed a clinical and laboratory examination of patients with rheumatoid arthritis and bronchial asthma. Nosologies were selected to examine extracellular DNA changes in the blood during immunopathological processes based on generally accepted views on the role of helper balance in disease pathogenesis. The degree of disease activity in rheumatoid arthritis primarily depends on the severity of inflammatory changes in the joints; therefore, it is closely associated with a shift in the balance of helpers toward the Th1. According to today’s concepts, the pathogenesis of asthma is determined by the intensive production of specific antibodies, which are controlled by activated Th2 lymphocytes.
AIM: To study extracellular DNA changes in the blood of patients during immunopathological processes depending on the Th1/Th2 balance ratio and compare these data with the parameters of standard laboratory tests and indicators of neutrophil activities and their ability to netosis.
METHODS: Extracellular DNA concentration was determined using the Quant-ITTM PicoGreen fluorescent reagent for double-stranded DNA. Neutrophils isolated in a double-density gradient of ficoll–urografin were cultured with or without the addition of phorbol myristate acetate followed by Sytox Green.
RESULTS: The studied immunopathological conditions had significantly decreased extracellular DNA levels in the plasma of patients with asthma, which sharply contrasted with its increase in patients with arthritis. Laboratory parameters confirmed the presence of local inflammation in patients with asthma without obvious symptoms of a systemic inflammatory response, while in patients with arthritis, inflammatory changes in the joints were accompanied by an increased C-reactive protein level, indicating a systemic reaction of the body in response to inflammatory stimuli.
CONCLUSIONS: Thus, the state of the Th1/Th2 balance is assumed as one of the significant regulators that determined the extracellular DNA concentration in the blood. According to the proposed hypothesis, the shift in this ratio toward the predominance of Th1 cells should promote the development of inflammatory processes in the body and increase the amount of extracellular DNA, while a shift in the balance of helpers toward the dominance of Th2 lymphocytes should suppress these processes and consequently decrease the extracellular DNA in the blood.
Structural aspects of personality typology of patients suffering from cardiovascular pathology associated with type 2 diabetes mellitus
Authors: Lavinskaia Natalia N. , Starenchenko Yuri L. , Protasov Oleg V. , Sarsengalieva Ainagul’ K.
Published: April 2024

BACKGROUND: Diabetes mellitus started as a metabolic disorder, but finished as a vascular pathology, which determines the prognosis and outcomes of disease. The research of personality psychotypes of patients suffering from type 2 diabetes mellitus associated with cardiovascular pathology was undertaken in order to study one of the basic components of system-forming factor of the pathological nervous regulation system. MATERIALS AND METHODS: 148 patients were examined (49 men, 99 women), divided into 2 groups: 1) patients with combined cardiovascular pathology and type 2 diabetes mellitus (monitoring group), 2) patients with cardiovascular pathology without type 2 diabetes mellitus (comparison group). Additional control group: 30 practically healthy volunteers. We conducted a questionnaire and a clarifying interview with profile patients undergoing a planned course of treatment in the therapeutic clinics. The domestic version of the psychological questionnaire test mini-mult AMPQ (Abbreviated Multifactorial Personality Questionnaire), which is an abbreviated form of MMPI, as well as “M. Lusher Color Selection Method” were used. The Nickstormsoftware computer software package “Oskord” (version 1.2) was used for statistical processing of the results. RESULTS: It was found: there are three main psychotypes — asteno-neurotic, epileptoid-exitable, hyperthymic — prevail in the total population of patients suffering from type 2 diabetes mellitus associated with cardiovascular pathology. The most favorable clinical situation is observed in patients with hyperthymic personality type, what demonstrates the systemic level influence of the psychotype. The definition of the personality structure implements a personalized approach to the patient, because it allows you to take into account the characteristics of each psychotype. CONCLUSION: Psychical factors affect the treatment of diabetes and concomitant pathology to the same extent as the treatment itself can affect the psychic state. Such a psychophysiological nature of interaction determines the modeling, possibly organizing role of psychotype components in the work of central link of the nervous regulation pathological system — the basis of the cardiovascular pathology associated with type 2 diabetes mellitus pathogenesis, which requires further scrupulous research, analysis and generalization.
Development of composition, technology and determination of quality indicators of medicinal films with etoricoxib
Authors: Klimkina Ekaterina A. , Zhidkova Yunna Yu. , Kovaleva Anastasia A. , Garmashova Irina V. , Vatanskaya Ol’ga A.
Published: April 2024

According to the Strategy for the Development of the Pharmaceutical industry until 2030, the development of new domestic medicines is one of the urgent tasks to ensure sustainable socio-economic development of the Russian Federation. In this regard, we have developed the composition and technology of a drug in the dosage form of a “Film”, dispersed in the oral cavity, with a nonsteroidal anti-inflammatory agent of selective action – etoricoxib. The choice of this dosage form is due to its advantages over other dosage forms, such as high bioavailability, no need to wash down the films with water and swallow, the prevention of the development of undesirable adverse reactions from the gastrointestinal tract.
The purpose of the study was to verify the compliance of the manufactured model samples of films with etoricoxib with the requirements of the State Pharmacopoeia of the current edition. The article presents data on the development of the optimal composition of films and the method of selecting the concentration of preservative, the technology for producing films, as well as describes the processes and results of tests conducted to assess the quality of films according to some regulated indicators in accordance with the GPA “Films”, such as description, film dimensions, pH of the solution, uniformity of mass, microbiological purity.
The results of the scientific work showed that the developed drug with etoricoxib meets the requirements of the General Pharmacopoeia Monograph “Films” for the quality indicators studied.
Indicators of health groups of pupils of general education organizations of the Russian Ministry of Defense (2010–2022)
Authors: Soldatov Ivan K. , Evdokimov Vladimir I. , Arsentiev Vadim G. , Makiev Ruslan G. , Golovinova Veronika Y.
Published: April 2024

BACKGROUND: Currently, there are 33 educational organizations of the Russian Ministry of Defense in Russia with a total staff of about 18 thousand students studying around the clock
AIM: to assess the dynamics of the health status of students in educational institutions of the Russian Ministry of Defense for 12 years from 2010/2011 to 2021/2022 academic year.
MATERIALS AND METHODS: We studied reports on Form 13К/МЕД, prepared by employees of educational organizations of the Russian Ministry of Defense, and calculated the dynamics of the level of assessments of the health status of students. The article presents arithmetic averages and their errors; the development of health groups was assessed using time series analysis, for which a second-order polynomial series was used.
RESULTS: In general educational institutions, there were 25.3 ± 0.9% of pupils with health group I, 60.7 ± 0.6% with group II, and 14.0 ± 1.2% with group III. In recent years, there has been a tendency to increase the number of pupils with health groups I and II and decrease with group III. These results indicated a properly organized educational process and optimization of medical support for students. The most positive dynamics of health status were observed in pupils aged 10–12 years, less pronounced — in pupils aged 16–18 years.
CONCLUSIONS: In some educational organizations of the Russian Ministry of Defense during the period studied, there were not entirely favorable trends in the organization of medical support for students, which aims at more personalized work with students.
Resting-state functional magnetic resonance imaging: features of statistical processing of ROI-analysis data
Authors: Abdulaev Shamil’ K. , Tarumov Dmitriy A. , Markin Kirill V. , Ustyuzhina Aleksandra А.
Published: April 2024

BACKGROUND: In many works, to study intra- and inter-network connections, a method for constructing networks is used — ROI-analysis (region of interest analysis). The conflicting results obtained when assessing brain connectivity using ROI-analysis can be explained by methodological differences associated with the statistical processing of fMRI data. In this regard, it is relevant to conduct a study with a comparative assessment of various statistical methods of ROI-analysis in processing resting state fMRI data.
AIM: to assess the functional connectivity of the main resting state networks of the brain using ROI-analysis using various statistical approaches.
MATERIALS AND METHODS: We analyzed data from 15 resting-state fMRI studies of the brain of patients without neurological and mental pathology. fMRI scanning was performed on a Phillips Ingenia 1.5 T scanner using a gradient echo-planar imaging (EPI-BOLD) sequence. ROI-analysis was used to build networks. Statistical data processing was performed using methods: functional network connectivity, randomization/permutation spatial pairwise clustering statistics, and threshold-free cluster enhancement.
RESULTS: The number of connections between the structures of brain networks recorded using the method of functional network connectivity is 280, spatial pairwise clustering — 186, threshold-free cluster enhancement — 182. An interesting fact is that negative connections were identified only when using parametric statistics.
CONCLUSION: A comparative assessment of methods for statistical processing of fMRI data during ROI-analysis was carried out. The functional network connectivity method based on multivariate parametric statistics turned out to be more informative than randomization/permutation spatial pairwise clustering statistics and the method based on threshold-free cluster enhancement. Despite the growing popularity in recent years of resting-state fMRI in the study of functional activity and connectivity of the brain, there are no standardized algorithms for constructing networks of the brain.
Application of Modern Pedagogical Technologies in Higher Education Institutions
Authors: Власова И.В.
Published: April 2024

Рассматриваются различные позиции отечественных ученых по определению понятия «педагогическая технология». Акцентируется внимание на том, что современное развитие педагогических технологий в образовании обусловлено рядом обстоятельств, одним из которых является модернизация педагогического процесса. В статье указываются конкретные причины, влияющие на современное развитие технологий в образовании и науке. Подчеркивается мысль о том, что современный технологический уровень образования в высшей школе – это уникальный результат интеграции науки, искусства, методологии и педагогической практики в единый комплекс. Сформулированы основные характеристики педагогических технологий и конкретные требования к использованию современных педагогических технологий в высшем образовании.

Since there is no unity in pedagogical science and practice in understanding of pedagogical technologies, this article examines different positions of domestic scientists on the definition of the concept “pedagogical technology”. In the course of the research, the author focuses on the fact that the modern development of pedagogical technologies in education is caused by a number of circumstances, one of which is the modernization of the pedagogical process. This article identifies specific reasons that influence the current development of technology in education and science. The article emphasizes the idea that the modern technological level of education in higher education is a unique fact of integration of science, art, methodology and teaching practice in a single set. In the conclusion the author formulates the main characteristics of pedagogical technologies and specific requirements for the use of modern pedagogical technologies in higher education institutions.
Technology for Developing a Module for Additional Education for Teachers “Psychological Barriers to Designing a Personalized Educational Space”
Authors: Подымов Н.А. , Подымова Л.С.
Published: April 2024

Обоснована важность обучения педагогов технологии проектирования персонализированного образовательного пространства. Рассмотрены этапы и содержание технологии проектирования педагогической деятельности в данном пространстве. Обозначены и описаны психологические барьеры педагогов, работающих в персонализированном образовательном пространстве.

The importance of teaching teachers the technology of designing a personalized educational space is substantiated. The stages and content of the technology for designing pedagogical activities in a given space are considered. The psychological barriers of teachers working in a personalized educational space are identified and described.
Predictors of Adaptability of Communicative and Personal Development of a Future Teacher at the Stage of Professional Training
Authors: Черняева А.В. , Шахнубарян А.К.
Published: April 2024

Рассмотрены основные компоненты коммуникативно-личностного развития студентов. Уточнена сущность феномена «предиктор» применительно к вопросу коммуникативно-личностного развития будущих педагогов. Описан процесс становления целостного коммуникативного облика личности будущего педагога, основанный на анализе ценностных ориентиров и временной перспективы личности студентов. Выявлены предикторы ценностных, временных и коммуникативных ориентаций личности студентов педагогической сферы в системе высшего образования. Сделан вывод о том, что повышение эффективности учебной и профессиональной деятельности будущих педагогов определено влиянием предикторов адаптивности, способствующих коммуникативно-личностному развитию студентов в профессиональной подготовке.

Some basic components of the communicative and personal development of students are considered. The essence of the “predictor” phenomenon has been clarified in relation to the issue of communicative and personal development of future teachers. The process of formation of a holistic communicative personality of a future teacher is described, based on an analysis of value orientations and the time perspective of students’ personality. Predictors of value, time and communicative orientations of the personality of pedagogical students in the higher education system have been identified. It is concluded that a possible increase in the effectiveness of educational and professional activities of future teachers is determined by the influence of predictors of adaptability that contribute to the communicative and personal development of students in professional training.
Development of E-Book Integrated Augmented Reality Based on STEM Approaches to Improve Critical Thinking and Multiple Representation Skills in Learning Physics
Authors:   Department of Physics Education, Faculty of Mathematics and Natural Sciences, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia, Rahmayani Fadillah
Published: April 2024

This study aims to develop an E-book Augmented Reality (AR) based on STEM approaches on renewable energy material. This E-book AR can be accessed on smartphones to improve students’ critical thinking and multiple representation skills. The development adopted the Analyze, Design, Development, Implementation, and Evaluation (ADDIE) model. The study used pre-test post-test control research design on 93 students of class 10 at one of the junior high schools in Kerinci, Indonesia. The students were divided into three trial classes: X, the experiment class, and classes Y and Z, the control class. Class X learns using E-book AR, class Y uses E-book pdf, and Class Z uses textbooks. The E-book AR and test instruments provided have been validated by six validators. Based on the results of the analysis, it was found that E-book media was suitable for improving students’ critical thinking and multi-representation skills in renewable energy. The result showed that media feasibility assessments by expert lecturers, practitioners, and colleagues scored very well. In addition, the E-book used is also effective in improving critical thinking skills and multi-representation. This is indicated by the acquisition of class X, who learned to use E-book AR and have gained value in the high category compared to the class Y and Z. In addition, the partial eta square value in class X contributed 78.7%, higher than class Y 55.5%, and class Z 53.1%. As well as obtaining the effectiveness of its use in the medium effect for critical thinking category and large effect category for multi-representation skill. Learning using E-book AR is more effective and positively impacts students in learning physics, especially in renewable energy subjects.
Glue-Sniffing Neuropathy: A Case Report
Authors: Kim Hyunji , Park Kee Duk
Published: April 2024

Glue, a volatile substance that is illegal as a recreational drug, has been popularly used for decades, and it can serve as a stepping stone for harder drugs. Chronic exposure can lead to substantial damage to several organs, including central and peripheral nervous systems. Glue-sniffing neuropathy has been reported since the 1960s, but with a lower frequency in recent years. We report a 45-year-old man who sniffed glue and presented with symmetrical distal motor weakness and paresthesia. Based on the patient’s inhalation history and initial electrodiagnostic study, we considered toxic neuropathy and demyelinating polyneuropathy in the differential diagnosis. He became chair-bound with repeating glue sniffing, and a following nerve conduction study showed the progression of motor-dominant polyneuropathies with markedly reduced amplitudes. An incomplete response to steroid therapy and recovery with inhalant cessation confirmed the diagnosis of glue-sniffing neuropathy. We conclude that glue, a neurotoxic volatile inhalant, produced glue-sniffing neuropathy with characteristic clinical and electrodiagnostic features.
Lowering Businesses' Carbon Footprint: Adoption of Eco-efficiency Indicators in Colombia and Peru
Authors: Díaz Lina M. , Martínez Villarreal Déborah , Scartascini Carlos , Ladreit Colombe
Published: April 2024

This document provides a guide for conducting behaviorally informed interventions to reduce businesses' carbon footprint. It draws insights from a pilot study within Colombia's textile industry and Peru's plastic industry. The study addresses the critical need for businesses to adapt to the challenges posed by climate change and transition risks, such as the European Union's Carbon Border Adjustment Mechanism (CBAM), which requires significant adaptations from companies in Latin America and the Caribbean to stay competitive. A key component of this study was developing and testing the "Green Tool," designed to assist companies in adopting eco-efficiency indicators (EEIs), which can be used as an input to measuring and lowering companies carbon footprint. Central to the intervention's success was a preliminary diagnosis stage that pinpointed specific behavioral barriers hindering the reduction of carbon footprints, including present bias and prevailing social norms. By combining a behaviorally informed communications strategy with mentorship, the intervention enhanced the adoption of EEIs among the businesses in the treatment group compared to those in the control group. This pilot study highlights the essential role of targeted interventions, mentorship, and the strategic application of behavioral tools in encouraging sustainable practices within the business sector. Furthermore, this guide demonstrates the effectiveness of behavioral interventions in supporting businesses to transition towards lower carbon footprints, showcasing a path forward in the global effort to combat climate change.
Rainwater Harvesting System Analysis for Semi-Arid Climate: A Daily Linear Programming Model
Authors: Ruso Mustafa , Akıntuğ Bertuğ , Kentel Elcin
Published: April 2024

Rainwater harvesting has proven to be an alternative water supply scheme for sustainable water management of regions with limited water resources. In this paper, a linear programming (LP) model with daily time steps, which minimizes a rooftop rainwater harvesting system (RWHS) cost, is developed and used to calculate the optimum RWH tank size. The developed LP model is applied to the semi-arid Northern Cyprus in the Eastern Mediterranean. The analysis is carried out for 33 sites which receive average annual rainfall ranging from 292 mm to 548 mm to evaluate the spatial effect of rainfall characteristic and the water cost on the financial feasibility and performance of the RWHS. At 29 out of 33 sites, RWHS investments are found to be financially feasible with discounted payback periods ranging from 12 to 28 years. The optimum RWH tank sizes are determined to be between 2 m3 and 6 m3 resulting in up to 20 % reliability with more than 50 m3 of average annual water savings per house. It is observed that the cost of water is a critical factor that affects the financial feasibility and water savings of a RWHS, especially in regions with limited rainfall. The comparison of the developed daily LP model with an LP model with monthly time steps demonstrates that the financial feasibility and the optimum tank size can only be assessed realistically when daily time steps are used. Finally, the sensitivity analysis shows that the discounted payback period is highly sensitive to the collector area.
Spatial Prediction of Groundwater Potential of Upper Tigris Basin Mapping in Türkiye with GIS-Based Multicriteria Decision Making (MCDM) Method
Authors: Çelik Recep
Published: April 2024

The Upper Tigris region in the Middle East is in Turkey and this study shows it to be an area with significant water resources that enable agricultural activities in the region. Since the GAP irrigation project, yet to be completed, there is an extensive use of groundwater for irrigation. This situation threatens the groundwater potential of the basin. Therefore, determination of groundwater potential should be evaluated properly instead of relying assessment of the groundwater potential of the region with observation wells, which is a more costly method. In this study, the groundwater potential of the basin was determined by the GIS-based Multi-Criteria Decision Making (MCDM) method; the GIS-based-AHP method is used for identifying the groundwater potential zones of the Upper Tigris Basin as an alternative to expensive and time-consuming method of well drilling. There are 8 key criteria considered; Geomorphology (GM), Geology(G), Line Density (LD), Slope (SL), Drainage Density (DD), Land Use (LU), Rainfall (R), and Soil Type (ST) and the individual weight of each criterion was evaluated by the AHP technique and utilized by the “Spatial Analysis Overlay Weighted Method” obtaining the “Groundwater Potential Index (GWPI)”. The GWPI values obtained is used to classify the Upper Tigris Basin into five categories as follows: 319 km2 of the basin has very poor potential (3.8%); 2217 km2 has poor potential (26.7%); 2800 km2 has moderate potential (33.7%); 2200 km2 has good potential (26.5%); and finally, 763 km2 has very good potential (9.2%).
Changes in Structure of Employment in the Conditions of Transformation of Economy of the Russian Federation
Authors:   Saratov State University, Senokosovа O. V. , Senokosova L. S. ,   Saratov State Technical University named after Gagarin Yu. A.
Published: April 2024

In article theoretical and methodological questions of transformation of structure of employment in the Russian economy are discussed. Through the structure of employment of the population generated in the country an indirect route it is possible to receive the information characterising efficiency of a social production. In article the analysis of change of structure of the occupied population from 1992 on 2008 is carried out. The general tendencies of employment of the population in Russia also come to light.