bluuebunny/crossref_metadata_2025 huggingface dataset:
Intrusion detection using enhanced genetic sine swarm algorithm based deep meta-heuristic ANN classifier on UNSW-NB15 and NSL-KDD dataset
Authors: Kayyidavazhiyil Abhilash
Published: September 2023

Prediction of malicious attacks and monitoring of network behaviour is significant for providing security and mitigating the loss of credential information. In order to monitor network traffic and identify different types of attacks in the network, numerous existing algorithms have been provided for classifying unauthorized access from the authorized access. However, the traditional techniques have faced complications in satisfying the accuracy while making predictions of malicious activities. Detection accuracy have been addressed as a drawback which hinders in making appropriate identification of threats. In order to overcome such challenges, the proposed work is designed with effective IDS mechanism for detecting and classifying the attacks taken from the UNSW-NB15 and NSL-KDD dataset. IDS (Intrusion Detection System) implementation is accomplished with three stages such as pre-processing is the initial phase in which scaling re-sizing of all images to similar width and height. Process of checking missing values reduces the computational complexities and enhances accuracy. Second stage is the novel feature-selection process accomplished by E-GSS (Enhanced Genetic Sine Swarm Intelligence) for selecting significant and optimal features. Finally, classification is the final phase in which intrusion is classified using novel DMH-ANN (Deep Meta-Heuristics Artificial Neural Network) which is internally being compared to three classifiers such as RF (Random Forest), NB (Naïve Bayes) and XG-Boost (Extreme Gradient). Experimental evaluation is carried out with the performance metrics such as accuracy, precision and recall and compared with existing algorithms for exhibiting the effectiveness of the proposed model. The research outcome reveals its efficiency in detecting and classifying attacks with greater accuracy.
Performance evaluation of financial special poverty alleviation development funds under the background of rural revitalization with 2-tuple linguistic Pythagorean fuzzy information
Authors: Sun Tiantian
Published: September 2023

A scientific financial transfer payment system is an important guarantee for promoting the modernization of the national governance system and governance capacity. The new development concept puts forward new requirements for fiscal governance at a new historical stage. The reform and improvement of the special transfer payment system match the responsibility and responsibility of fiscal governance, and better serve the national strategic pattern of rural revitalization and common prosperity. The performance evaluation of financial special poverty alleviation (SPA) development funds is conducive to improving the efficiency of fund utilization, achieving the radiation effect and multiple effect of financial SPA development funds, improving the ability of financial transfer payments, and enhancing the modernization of national financial governance capabilities. The performance evaluation of financial SPA development funds under the background of rural revitalization is a multiple attribute group decision making (MAGDM). Based on the existing MABAC model, the MABAC model is extended to 2-tuple linguistic Pythagorean fuzzy sets (2TLPFSs). Firstly, the definitions of 2TLPFSs, 2TLPFWA operator and 2TLPFWG operator is introduced. Then, the existing MABAC method is also introduced. The 2-tuple linguistic Pythagorean fuzzy number MABAC method (2TLPFN-MABAC) is constructed to cope with the MAGDM under 2TLPFSs. Finally, a case study for performance evaluation of financial SPA development funds under the background of rural revitalization is constructed and some comparative analyses is employed to verify the 2TLPFN-MABAC method.
Application of non-local mean image denoising algorithm based on machine learning technology in visual communication design
Authors: Wang Hui
Published: September 2023

In Visual Communication Design (VCD), noise data is easy to appear, which reduces image quality and affects the effect of VCD. The non local mean image denoising algorithm is a good filtering denoising algorithm, but there are still issues of information interference and missing. To improve the performance of noise recognition and image denoising technology, this study proposes a non local mean image denoising algorithm based on machine learning technology. The whale optimization algorithm, as a machine learning technique, has good performance in seeking optimal solutions. Therefore, it is applied to optimize the filtering parameters of non local mean image denoising algorithms to improve the perforGAmance of non local mean image denoising algorithms. To address the shortcomings of the whale optimization algorithm, BP neural network is introduced for optimization. Finally, the experiment uses the improved particle swarm optimization algorithm to optimize the BPNN and applies it to the recognition and classification of noise data. Combining the above contents, the IBINLM image denoising algorithm is constructed experimentally. It is verified that the IPSO-BPNN model’s loss value is 0.12; The recognition accuracy of the model for noise pixels is 98.64%; F1 value reaches 96.32%; The fitting degree reaches 0.983. The PSNR of IBINLM algorithm is 35.86 dB; MSE is 0.29; AUC value reaches 0.903. The results show that the IPSO-BPNN model and IBINLM image denoising algorithm have better performance compared to other models, which can improve the quality of visual communication works, playing an essential role in image transmission and storage in visual communication design.
Interventions to help patients withdraw from depression drugs: A systematic review
Authors: Gøtzsche Peter C. , Demasi Maryanne
Published: September 2023

BACKGROUND: Depression drugs can be difficult to come off due to withdrawal symptoms. Gradual tapering with tapering support is needed to help patients withdraw safely. OBJECTIVE: To review the withdrawal success rates, using any intervention, and the effects on relapse/recurrence rates, symptom severity, quality of life, and withdrawal symptoms. METHODS: Systematic review based on PubMed and Embase searches (last search 4 October 2022) of randomised trials with one or more treatment arms aimed at helping patients withdraw from a depression drug, regardless of indication for treatment. We calculated the mean and median success rates and the risk difference of depressive relapse when discontinuing or continuing depression drugs. RESULTS: We included 13 studies (2085 participants). Three compared two withdrawal interventions and ten compared drug discontinuation vs. continuation. The success rates varied hugely between the trials (9% to 80%), with a weighted mean of 47% (95% confidence interval 38% to 57%) and a median of 50% (interquartile range 29% to 65%). A meta-regression showed that the length of taper was highly predictive for the risk of relapse (P = 0.00001). All the studies we reviewed confounded withdrawal symptoms with relapse; did not use hyperbolic tapering; withdrew the depression drug too fast; and stopped it entirely when receptor occupancy was still high. CONCLUSION: The true proportion of patients on depression drugs who can stop safely without relapse is likely considerably higher than the 50% we found.
Associations of antidepressant medication consumption with changes in personality pathology and quality of life among community-dwelling adults
Authors: Vittengl Jeffrey R. , Jarrett Robin B. , Ro Eunyoe , Clark Lee Anna
Published: September 2023

BACKGROUND: Although antidepressant medication (ADM) has produced small advantages over pill placebo in randomized controlled trials, consuming ADM has predicted prospectively increasing depressive symptom severity in samples of community-dwelling adults. OBJECTIVE: We extended the community literature by testing ADM’s relations to changes in personality and quality of life that may underpin depression. METHOD: In this longitudinal, observational study, community-dwelling adults (N = 601) were assessed twice, 8 months apart on average. Assessments included depressive symptoms, personality, life satisfaction and quality, and prescription medication consumption. RESULTS: Consuming ADM at time 1 predicted relative increases in depressive symptoms (dysphoria), maladaptive traits (negative affect, negative temperament, disinhibition, low conscientiousness), personality dysfunction (non-coping, self-pathology), and decreases in life satisfaction and quality from time 1 to 2, before and after adjustment for age, gender, race, income, education, physical health problems, and use of other psychotropics. In no analysis did ADM use predict better outcomes. CONCLUSION: Among community-dwelling adults, ADM use is a risk factor for psychosocial deterioration in domains including depressive symptoms, personality pathology, and quality of life. Until mechanisms connecting ADM to poor outcomes in community samples are understood, additional caution in use of ADM and consideration of empirically supported non-pharmacologic treatments is prudent.
Vocational rehabilitation service receipt, service expenditures, and ruralness
Authors: Ipsen Catherine , Jain Kamini , Stern Steven
Published: September 2023

BACKGROUND: An important factor embedded within Vocational Rehabilitation (VR) delivery capacity relates to geography, such as distance from the VR office and availability of service providers or community rehabilitation programs. OBJECTIVE: We explored receipt of VR job search and placement services based on distance to an urban center, demographics, and disability variables after controlling for local employment conditions. METHODS: Using 2015 RSA-911 case services data, we used probit to produce estimates for each combination of service and service source (agency and purchased), and Ordinary Least Squares (OLS) and semi-parametric regression to estimate log expenditures for each service category. RESULTS: Being Black or living at a long distance from a metro area increased the probability of receiving agency-based services but lowered the probability of receiving purchased services. Conversely, being older and having less education lowered the probability of receiving agency services but increased the probability of receiving purchased services. Females, Blacks, and those living at a distance greater than 50 miles from a metro area received significantly lower expenditures. CONCLUSION: Systematic differences in the types of services provided call for more in-depth analysis to ensure that policies and procedures are in place to minimize sociodemographic disparities in service delivery and outcomes.
A novel MABAC approach for multi-attribute group decision-making with single-valued neutrosophic sets: An application in assessing microfinance group lending performance
Authors: Ran Hui
Published: September 2023

In the 40 years of global microcredit practice, loan technology has played a positive role in microcredit as one of the most important supporting elements. The development and evolution of microcredit institution lending technology is the result of comprehensive consideration of specific regional economic, social, cultural, and geographical factors. In the context of the diversified trend of microcredit technology, choosing loan technology reasonably, exploring flexible guarantee conditions, and innovating diversified loan technology combinations will become practical problems faced by microcredit institutions, and also the direction of theoretical research. The timely innovation of group loan technology in microcredit has practical value and theoretical significance for promoting the innovation of financial agricultural products in the implementation of China’s rural revitalization strategy, as well as bridging the theoretical controversy of microcredit loan technology. The performance evaluation of microfinance groups lending is a MAGDM issues. In this paper, the distances measures of single-valued neutrosophic sets (SVNSs) and maximizing deviation method (MDM) is used to obtain the attribute weight values. Based on the classical Multi-Attributive Border Approximation area Comparison (MABAC) method, the single-valued neutrosophic numbers MABAC (SVNN-MABAC) method is constructed for MAGDM under SVNSs. Finally, an example for performance evaluation of microfinance groups lending and some comparative decision analysis are constructed to verify the SVNN-MABAC model.
Improving computer network security evaluation with grey relational analysis and probabilistic simplified neutrosophic sets
Authors: Wang Hong , Chen* Gongping
Published: September 2023

The popularity of computer network has provided great convenience for people’s work and life, but it has also brought corresponding information security problems. It is very important to do a good job in computer network security evaluation. Conventional computer network security evaluation can be realized with the help of firewalls, antivirus software, etc., while in the face of complex computer network applications, it is necessary to adopt a security evaluation method with good operability and wider application range. The computer network security evaluation is viewed as multiple attribute decision-making (MADM) issue. In this paper, an extended probabilistic simplified neutrosophic number grey relational analysis (PSNN-GRA) method is established for computer network security evaluation. The PSNN-GRA method integrated with Criteria Importance Though Intercrieria Correlation (CRITIC) method in probabilistic simplified neutrosophic sets (PSNSs) circumstance is applied to rank the optional alternatives and a numerical example for computer network security evaluation is used to proof the newly proposed method’s practicability along with the comparison with other methods. The results display that the approach is uncomplicated, valid and simple to compute.
Grey relational analysis-driven optimization of neutrosophic MAGDM for cloud SaaS credibility evaluation
Authors: Chen Mao
Published: September 2023

In the basic cloud service delivery model, since SaaS (Software as a Service) is located at the application layer, if a relatively complete cloud service credibility comprehensive evaluation framework can be established from the perspective of SaaS cloud service consumers and combined with their trust context, it can not only effectively solve the trust problem between cloud service consumers (CSC) and cloud service provider (CSP), but also has very important practical significance for the popularization and promotion of SaaS service applications. The credibility evaluation of SaaS services in cloud computing environment is often considered as a multi-attribute group decision making (MAGDM) problem. In this paper, the grey relational analysis (GRA) method is extended to the single-valued neutrosophic sets (SVNSs) setting to deal with MAGDM with incomplete weight information. First, the SVNSs are reviewed. In addition, the single-valued neutrosophic number GRA (SVNN-GRA) is established for MAGDM with incomplete weight information, and the computational steps for all designs are listed. Finally, the credibility evaluation of SaaS services in cloud computing environment is given to demonstrate the SVNN-GRA model and some comparative analysis is done to demonstrate the SVNN-GRA.
Smart algorithmic solutions for neutrosophic multiple-attribute decision-making and applications to chair furniture comfort design evaluation
Authors: Wang Le , Ding Jian
Published: September 2023

The activities in public places are becoming increasingly frequent, and public seats have become an important component of public space and an “auxiliary tool” for work, life, and leisure. The demand for such furniture in China is gradually increasing, but the design and research work of public seats is lagging behind the development status and speed of other civil and office furniture. Usually, public seats can be divided into two parts based on their usage: public indoor seats and public outdoor seats. How to understand the role and impact of public seats on the indoor environment, and how to establish a new design method for public seats in the context of the overall environmental system, are currently urgent issues to be solved. The chair furniture comfort design evaluation is a classical MADM issues. In such paper, the generalized weighted Bonferroni mean (WBM) operator and power average (PA) is constructed for MADM with single-valued neutrosophic sets (SVNSs). Then, the generalized single-valued neutrosophic number power WBM (GSVNNPWBM) operator is built and then the MADM decision methods are proposed based on the GSVNNPWBM operator. Finally, an example about chair furniture comfort design evaluation and some comparative analysis were given to demonstrate the GSVNNPWBM method.
Impact of COVID-19 on the self-esteem, psychological and dental esthetics of dental students
Authors: Alqarawi Firas K. , Alam Beenish Fatima , Nayab Talha , Alshehri Sami , Al-Jandan Badr , Fahim Faisal , Ali Saqib
Published: September 2023

BACKGROUND: Coronavirus disease 2019 (COVID-19) has badly affected the mental health, quality of life, and self-esteem of students worldwide. OBJECTIVE: The current study aimed to evaluate the psychological impact and self-esteem of dental students using Rosenberg self-esteem scale and PIDAQ during the COVID-19 pandemic. METHOD: This cross-sectional research was conducted amongst the dental students studying at various dental colleges in Karachi, Pakistan from January to May 2022. Evaluation of psychological aspect and self-esteem of students was carried out using “Psychosocial Impact of Dental Aesthetics Questionnaire (PIDAQ)”, and “Rosenberg self-esteem scale” as perceived by students during the pandemic. For data analysis SPSS v24 was used. Data analysis comprised of descriptive analysis, Spearman correlation, One-way Anova and Linear regression. The level of significance of p value was less than 0.05. RESULTS: Overall 332 students participated, among which there were 181 females (54.5%), 151 males (45.5%). Dental self-confidence showed a negative relationship with social influence, psychological effect, and aesthetic concern, while it was positively linked with self-esteem during the pandemic. Social impact demonstrated association with psychological impact, aesthetic concern, and self-esteem, while it was negatively correlated with dental confidence. Rosenberg score showed positive correlation with all the variables. Statistically significant association was identified for variables when compared with gender. Regression analysis indicated association of age with dental confidence and RSS, while gender with social influence. CONCLUSION: The pandemic, aside from affecting the health of individuals worldwide, also badly affected the well-being, mental health, and self-esteem of the dental students. Dental aesthetics plays a crucial role in the mental wellbeing and self-esteem of the students.
Mark his motives: A motivational attribution perspective on observer responses to peer helping behaviors
Authors: Zhu Di , Tian Xiaoming , Li Rui
Published: September 2023

BACKGROUND: Mutual help among members is critical to the accomplishment of complex tasks in an organization. Helping behaviors are infectious, and employees learn to imitate their coworkers’ helping behaviors through observation. However, whether coworker helping triggers imitation learning depends on observers’ motivational attributions for coworker helping behaviors to some extent. OBJECTIVE: Based on attribution theory and approach-avoidance framework, this research explored the approach and avoidance-oriented emotional and behavioral consequences of observers’ prosocial and impression management motivational attributions of coworker helping behavior. METHODS: An experimental study with 178 participants and a field study with 259 employees was conducted. RESULTS: The results revealed that observers attribute coworkers’ helpfulness to prosocial motivation, which elicited observers’ approach-oriented emotions (i.e., positive empathy) and behaviors (i.e., helping behavior) and reduced coworker exclusion, while impression-management motivation elicited observers’ avoidance-oriented emotions (i.e., disgust) and behaviors (i.e., coworker exclusion) and reduced helping behavior. CONCLUSION: The results suggest that prosocial motivational attributions and impression management motivational attributions are key factors in determining whether observers have approach- or avoidance-oriented emotions and behaviors toward coworker helping. Accordingly, individual employees and managers should focus on employees’ motivation to help others in order to promote mutual support and harmony in the workplace.
Multi-Modal Data Fusion for Classification of Autism Spectrum Disorder Using Phenotypic and Neuroimaging Data
Authors: Kausar Sumaira , Adnan Younas  , Muhammad Yousuf Kamal  , Tehsin Samabia
Published: September 2023

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that causes disrupted social behaviors and interactions of individuals. Hence, it can adversely affect the social functioning of individuals. Each autistic individual is said to have a sort of unique behavioral pattern. ASD has three major sub-categories, namely autism, Asperger, and pervasive developmental disorder, not otherwise specified. The term spectrum indicates that ASD possesses a large variety of symptoms of severity. Practitioners need to have a vast experience and expertise for the accurate analysis of the symptoms of ASD. These symptoms need to be acquired from a range of modalities. An accurate diagnosis requires the analysis of brain scan and phenotypic data. These aspects present a multifold challenge for computer-aided ASD diagnosis. Most of the existing computer aided ASD diagnosis systems are capable of diagnosing only whether an individual is affected with ASD or not. A detailed categorization into the subcategories of ASD in such diagnosis is missing. Another aspect that is missing in the existing techniques is that symptoms are observed from a single modality. This can adversely affect the accuracy of diagnosis, since different modalities focus on different aspects of symptoms. These challenges and gaps provided the motivation to present a method that covers the variety exhibited in ASD, while considering the dire need of acquiring symptoms from a variety of data sources. The proposed method showed rather encouraging results. Moreover, the achieved results are evident of the efficacy of the proposed method.
Information Technologies in Educational Management: Cultural Dimensions
Authors: Denysіyuk Zhanna
Published: September 2023

The purpose of the article is to investigate the role of information technologies in educational management and their cultural manifestation. The research methodology involves the use of an interdisciplinary approach, as well as a set of methods: analytical, synthetic, cultural, which will allow a comprehensive consideration of the given issues and formulate reasonable conclusions. The scientific novelty lies in the systematic generalisation of educational management and its main development trends based on the influence of information technologies, as well as the identification of cultural intentions, taking into account the formation of the creative environment of higher education institutions. Conclusions. Digital information technologies are actively involved in the introduction into the educational sphere and its transformation, directly changing the algorithms of educational management and, in general, the principles of management activities in higher education institutions. Numerous technical capabilities have created a parallel virtual space where not only information is exchanged, but also other important activities take place: unlimited communication, self-representation, value transmission, and functional professional orientation in various spheres of activity, which determine the principles of organising society's life activities. Information technologies as a polymodal information and socio-cultural space undoubtedly act a subject of influence in the functioning of the educational sphere of society, actively generating new meanings, value orientations, professional competences and guidelines for society. Accordingly, systemic educational management should be based on information technologies that will facilitate the adoption of adequate management decisions within the framework of the formation of a humanistic educational paradigm, where one of the important factors is the principle of cultural creativity of the educational and socio-cultural space.
Key words: information technologies, higher education institutions, educational management, cultural creativity.
Using sodium dithionite as a reducing agent in the synthesis of propacetamol hydrochroride from phenol
Authors:   School of Medicine, VNU-HCM, Vietnam, Nguyen Hien Minh , Le Van Huan ,   School of Medicine, VNU-HCM, Vietnam, Tran Phuong Khanh ,   School of Medicine, VNU-HCM, Vietnam, Nguyen Thi Lan ,   School of Medicine, VNU-HCM, Vietnam, Ngo Duc Phuc , Nguyen Du Thien ,   School of Medicine, VNU-HCM, Vietnam, Bui Thi Phuong ,   School of Medicine, VNU-HCM, Vietnam, Tran Xuan Diem ,   Faculty of Applied Science, Ho Chi Minh City University of Technology, VNU-HCM, Vietnam, Tran Thi Thanh Ngan ,   Institute of Drug Quality Control Ho Chi Minh city - IDQC HCMC, Vietnam, Phan Nguyen Truong Thang ,   Institute of Drug Quality Control Ho Chi Minh city - IDQC HCMC, Vietnam, Tran Viet Hung ,   Institute of Drug Quality Control Ho Chi Minh city - IDQC HCMC, Vietnam, Le Minh Tri ,   Institute of Drug Quality Control Ho Chi Minh city - IDQC HCMC, Vietnam, Nguyen Vinh Ngoc ,   School of Medicine, VNU-HCM, Vietnam
Published: September 2023

Propacetamol, a prodrug form of paracetamol, is used in injections for fast and effective pain relief. Propacetamol is water soluble and is used in postoperative care as well as intravenous administration in case the patients cannot take oral or rectal paracetamol. Studies on propacetamol synthesis at laboratory scale as well as industrial scale with safe, simple and economic procedures are crucial. In this study, we synthesized propacetamol from phenol as the starting material. In the first step, phenol was converted to p-nitrosophenol through a nitrosation process. This nitrosation reaction yielded the optimal result as the reaction selectively occured, the product was not plasticized. Next, p-nitrosophenol was reduced to p-aminophenol in the presence of sodium dithionite as the reducing agent. The reaction produced p-aminophenol at a yield of 89,6% with high selectivity and less impurity. After that, paracetamol was obtained through acetylation of p-aminophenol. Ochloroacetylation of paracetamol was performed by using the amount of diethylamine reduced by 2,5 times compared to previous studies to form 4-acetamidophenyl-2-chloroacetate in 85,5% yield. This intermediate was then alkylated to form propacetamol base, followed by treatment with HCl solution in acetone at low temperature to obtain propacetamol hydrochloride in 32,5% yield. The study has shown that propacetamol hydrochloride was successfully achieved with high efficiency and safety from phenol as the starting compound.
Neuroprotective effects of Bouea macrophylla leaf extract against amyloid-beta peptide-induced toxicity in human neuroblastoma SH-SY5Y cells
Authors:   Institute of Applied Science, HUTECH University, 475A Dien Bien Phu Street, Binh Thanh District, Ho Chi Minh City 700000, Viet Nam, Nguyen Anh Hoang Nam , Ha Ngoc Kim ,   Institute of Applied Science, HUTECH University, 475A Dien Bien Phu Street, Binh Thanh District, Ho Chi Minh City 700000, Viet Nam, Dương Huy Thúc ,   Department of Chemistry, University of Education, 280 An Duong Vuong Street, District 5, Ho Chi Minh City 72711, Viet Nam, Nguyễn Hồng Ngọc ,   Institute of Applied Science, HUTECH University, 475A Dien Bien Phu Street, Binh Thanh District, Ho Chi Minh City 700000, Viet Nam, Vo Giau Van ,   Department of Biomedical Engineering, School of Medicine, Vietnam National University – Ho Chi Minh City (VNU-HCM), Ho Chi Minh City, Viet Nam; Research Center for Genetics and Reproductive Health (CGRH), School of Medicine, Vietnam National University – Ho Chi Minh City (VNU-HCM), Ho Chi Minh City 700000, Vietnam; Vietnam National University – Ho Chi Minh City (VNU-HCM), Ho Chi Minh City 700000, Viet Nam
Published: September 2023

Purpose: Alzheimer's disease (AD) is the most common type of dementia, which is thought to be caused by the abnormal buildup of proteins including amyloid-beta (A) in and around brain cells. In efforts to discover new strategies for AD therapy, natural products have aroused interest in the research community and in the pharmaceutical industry for their neuroprotective activity, targeting different pathological mechanisms associated with AD. A wide variety of natural products from different origins have been evaluated preclinically and clinically for their neuroprotective mechanisms in preventing and attenuating the multifactorial pathologies of AD. Our initial previous study demonstrated the chemical constituents from the leaves of the Bouea macrophylla Griff (B. macrophylla) could serve as source of bioactive compounds with potential antimicrobial, antioxidant and anticancer properties. However, their neuroprotective effects on A-induced cytotoxicity has not been described yet. Methods: In our continuing search for bioactive from the leaves of B. macrophylla, we herein describe its cytotoxicity against a neuroblastoma cell line (SH-SY5Y) anti-A aggregation potential, and neuroprotective potential. Results: Thioflavin T assay revealed that the inhibition potential of ethanolic extract was 60.65% at 50 μg/mL compared to the positive control group (p < 0.05), while neuroprotective effects were elaborated against Aβ-induced SH-SY5Y cells at 25 μg/mL. In order to validate these neuroprotective effects, the ethanol extract revealed reductions in the intracellular ROS (reactive oxygen species) level in H2O2-treated SH-SY5Y cells and mitochondrial dysfunctions in Aβ-induced SH-SY5Y cells at 25 μg/mL. Consclusions: The overall results have provided scientific insights of utilizing B. macrophylla as a potential anti-Aβ and neuroprotection agent containing secondary metabolites which may be pharmacologically relevant.
Global Trends in Research on School Bullying and Its Correlation with COVID-19 Pandemic
Authors: AĞIRKAN Murat
Published: September 2023

The extensive research conducted has demonstrated that school bullying is a global phenomenon with significant short-term and long-term implications. These concerns about the negative effects of school bullying lead to an increase in the number of publications in the literature, and it becomes inevitable that the number of future studies will gradually increase. Therefore, a better understanding of the trends and patterns in school bullying research is crucial to providing new avenues for future studies and furthering knowledge in this field. This study analyzed 1,388 publications on school bullying retrieved from the Web of Science database. The data were collected, coded, and subjected to bibliometric analysis using computer software. The results were evaluated in light of existing trends and disparities in research on school bullying, and some recommendations for future research were provided.
The design of the upper limb prosthesis with an increased number of degrees of freedom of the fingers
Authors:   Saint Petersburg Electrotechnical University, Morozova E. V. , Tatarintsev N. I. ,   Saint Petersburg Electrotechnical University, Kulikov K. A. ,   Saint Petersburg Electrotechnical University, Kulikova P. V. ,   Saint Petersburg Electrotechnical University
Published: September 2023

The article deals with the design of the upper limb is arm prosthesis. In the Autodesk Inventor environment, the model is analyzed for stress-strain states, the results of which are presented in this work. It also provides a brief description and block diagram of the prosthesis control system, including the main elements and their interconnection. The resulting design is aimed at manufacturing using 3D printing technologies. The paper describes the main characteristics of the material proposed for the production of the prosthesis. The prosthesis will allow you to lift and hold objects weighing up to 5 kg, as well as perform the basic functions of a human hand based on the grips and movements described in the work, which was achieved through the use of articulated joints.
Modeling of technological parameters of induction surface hardening based on generalized experimental studies
Authors:   Saint Petersburg Electrotechnical University, Chmilenko V. V. , Shanin Y. V. ,   Saint Petersburg Electrotechnical University, Khorshev A. A. ,   Saint Petersburg Electrotechnical University, Bondar A. S. ,   Saint Petersburg Electrotechnical University, Zhang Qi ,   Saint Petersburg Electrotechnical University, Bondarenko D. N. ,   Saint Petersburg Electrotechnical University
Published: September 2023

The article discusses the modeling of induction surface hardening technology of low-alloy carbon steels with a carbon content of 0.2 to 0. 8 %. To optimize technological parameters, such as heating power and time, current frequency and quenching depth, experimental data were generalized: dependences of austenization and homogenization temperatures heated steel on the heating rate, carbon content and grain size of the initial structure. Also, on the basis of experimental data, the dependences of austenite grain growth on the heating rate and temperature are obtained. A nonlinear coupled electrothermal numerical model was used in the work, in which the calculation of the nonlinear ferromagnetic problem was carried out in the time domain. To study the effect of phase transformations during induction heating on the choice of the optimal heating mode, an iterative algorithm was developed that controls the numerical electrothermal model. The article compares the results of simulation of induction surface hardening modes for cylindrical bodies made of St35 and St45 steels, and also provides the required surface heating temperature. The influence of the initial structure on the choice of heating mode is shown. In addition, the developed model makes it possible to predict the ultimate hardness on the surface of the hardened part for optimal cooling mode.
Application of the extended function description method to the design of a power supply control loop
Authors:   Saint Petersburg Electrotechnical University, Telnov A. A.
Published: September 2023

The article is devoted to issues related to the design of a control loop of an energy converter, where the method of extended description functions is used as a tool for research and analysis of frequency characteristics. The object of research is a stabilized voltage source based on a bridge converter with an LLC-resonant circuit, designed for the needs of industrial equipment. Within the framework of this work, a single-loop feedback with stabilization of the output voltage level is considered. Based on the calculations, the voltage source circuit was simulated in the LTSpice circuit simulation environment.
METHODOLOGICAL COMPONENT OF COGNITIVE ACTIVITY IN TEACHING PHYSICS IN THE NEW UKRAINIAN SCHOOL
Authors:   Rivne State University for the Humanitie, Halatiuk Yuriy , Halatiuk Taras ,   Lyceum № 6, Rivne
Published: September 2023

The article analyzes the content of the methodological component of students’ subject competence in the context of teaching physics in the New Ukrainian School. It is shown that the methodological component is an important component of subject competence, which is an integral characteristic of the subject of educational and cognitive activity, which includes knowledge, abilities, skills, attitudes, values, and orientations. The key cognitive skills that form the basis of the methodological component of subject competence and reflect the connection with the subject’s intellectual and heuristic sphere of cognitive activity, which unites creative qualities and abilities, are defined. It was established that the solution to the problem of effective formation of the methodological component of subject competence lies in the plane of effective combination of two functions of education: informative and illustrative and innovative and creative. The dialectical unity of reproductive and creative activity in education is an objective factor in achieving the desired result. One of the forms of realization of such unity is the dominant transformation of reproductive activity into creative activity. Creative cognitive activity is an effective mechanism for the formation of methodological knowledge, therefore the methodological component is an important factor in the design and organization of creative educational and cognitive activity in the context of the implementation of the competence approach in education.
MODEL OF FORMATION OF DIGITAL COMPETENCE OF FUTURE PHYSICS TEACHERS IN THE CONDITIONS OF STEM EDUCATION
Authors:   Pavlo Tychyna Uman State Pedagogical University, Ksendzenko Olga
Published: September 2023

The article discusses the concept of STEM education, its key properties. The main advantages and fundamental differences of this type of education in comparison with traditional methods, which include the main component of information, communication and digital technologies, have been formed. The content of the concept of digital competence, the acquisition of which is one of the qualitative results of the introduction of STEM education into the educational process, is analyzed. Based on the research of scientists, the main criteria for the formation of digital competence were determined and the main directions of the development of digital competences in future physics teachers were formed. Which include the use of digital technologies and various application programs to provide theoretical and practical material, the introduction of mobile devices, robotics tools, virtual laboratories, specialized software and hardware into the educational process.
SPORTS TOURISM IN THE SYSTEM OF PHYSICAL EDUCATION OF PUPILS AND STUDENT YOUTH
Authors:   Kamianets-Podilskyi National Ivan Ohiienko University, Lisovsky Аndriy , Fedchuk Roman ,   Kamianets-Podilskyi after-school educational association, Harbar Vladyslav ,   Kamianets-Podilskyi National Ivan Ohiienko University
Published: September 2023

The article is devoted to topical issues of the importance of tourism for the health of pupils and students. The role of tourism in the system of physical education of youth and its impact on psychological and physical development is considered. The article presents the general characteristics of sports and health tourism and its impact on the human body. Sports tourism aims at sports improvement in overcoming natural obstacles. This means improving the whole complex of knowledge, skills and abilities, physical fitness necessary for the safe movement of a person in the terrain. For the realization of the sports goal, trips full of natural obstacles are carried out, which makes it possible to classify them as sports hikes. Constant exposure to physical activity in tourist trips contributes to the optimal functioning of almost all body systems of students. Tourism occupies a special place in the system of physical education, because, in comparison with other sports, it provides greater opportunities for mastering the knowledge, skills and abilities necessary in everyday life of every person.
THE FORMATION OF RESEARCH COMPETENCY OF FUTURE PHYSICS TEACHERS IN THE PROCESS OF SOLVING PHYSICS TASKS
Authors:   Ternopil Volodymyr Hnatiuk National Pedagogical University, Wen Xiaojing , Korsun Igor ,   Ternopil Volodymyr Hnatiuk National Pedagogical University
Published: September 2023

The paper describes one of the methods of investigation of galvanomagnetic phenomena compound thin film semiconductor system AIVBVI. The resulting current-voltage characteristics of thin films PbTe: Sb and analyzed the basic parameters for thin films of different thicknesses using the method of Hall. The dependence of the film thickness PbTe:Sb on the mobility and concentration of major carriers.
MODEL OF ADAPTIVE LEARNING OF THE STEM EDUCATION SYSTEM
Authors:   Kamianets-Podilskyi National Ivan Ohiienko University, Kuhh Arkadiy , Pyschal Andriy ,   Kamianets-Podilskyi National Ivan Ohiienko University
Published: September 2023

The article discusses an adaptive learning model that is able to provide each student with assistance to achieve the optimal level of intellectual development in accordance with his natural abilities and inclinations in the STEM education system. The main advantages of the adaptive learning model are considered. The problem of adaptive learning in modern educational systems is studied. It was determined that the planning and organization of the educational process, the selection of types of tasks, their levels of complexity, the sequence of material submission, the implementation of various types of control, the determination of evaluation criteria for each type of task belong to the methodological aspects of adaptive learning in the STEM system. The technical aspects include: an algorithm that offers to move to a new level if most of the tasks are performed correctly or to return to the previous level taking into account the mistakes made while performing the tasks; an algorithm for forming a number of tasks according to the student’s level of knowledge; evaluation of his educational achievements.
DETERMINATION OF THE CONTENT OF AN ELECTIVE DISCIPLINE FROM TOURISM
Authors:   Ferenc Rakoczi II Transcarpathian Hungarian College of Higher Education, Shchuka Halyna , Bezruchenkov Yuriy ,   Luhansk Taras Shevchenko National University, Mikho Olena ,   Academy of Labour, Social Relations and Tourism
Published: September 2023

The article defines the main aspects of forming the content of elective professional disciplines based on the example of the educational component “Event tourism”. As a result of the research, the professional competencies of the specialist in event tourism, the content of this discipline and the organizing activities of the students using student-centred, competence-based and personal approaches were determined. The individual educational trajectory in accordance with regulatory documents requires the student of higher education to choose at least 25% of the total number of ECTS. Elective disciplines are offered by the institution of higher education to more fully meet the educational and qualification needs and capabilities of students; fulfil the regional needs for specialists of a certain specialization; effective use of personnel, technical and other resources of the institution of higher education. Candidates choose subjects in blocks for the entire period of study or from a list only for the next academic year. When training tourism specialists, considerable attention is paid to the study of specialized (niche) tourism to increase the effectiveness of the implementation of regional tourism potential. The inclusion of “Event tourism” to the list of elective disciplines is explained by its high rate of development, flexibility and rapid adaptation to relevant conditions, worldwide experience in training students in this field, a wide list of professional activities in a speciality (facilitator, producer of tourist events, manager of event tourism in the destination, etc.). The defined list of competencies affects the formation of the content of the elective discipline. An event tourism manager, on the one hand, is a manager for creating event tours, who must take into account the available event resources, their significance for tourist motivation, and the specifics of event tours. On the other hand, he is a special events manager who knows how to create and promote such a tourism product as an event to attract tourists to the destination.
USING BYOD TECHNOLOGY AS AN EFFECTIVE MEANS OF FORMING STUDENT MOTIVATION IN STEM EDUCATION
Authors:   Lesya Ukrainka Volyn National University, Stetsiuk Oksana
Published: September 2023

The article analyzes the formation of research skills of participants in the educational process based on the use of augmented reality tools using the BYOD (Bring Your Own Device) approach: to increase the motivation of students in STEM education. The directions of using BYOD technologies in physics lessons in general secondary education institutions are determined and the methods of their use in practice are shown. During the preparation of the article, the following research methods were used: comparative analysis of the theoretical provisions of the developed scientific and educational and methodological literature; observation of the educational process in physics at the national school. Attention was drawn to the fact that the introduction of BYOD technologies in tandem with the principles of STEM education in the educational space contributes to the creation of a fundamentally new model of learning, with new opportunities for teachers and students. It is noted that the BYOD direction contributes to the fact that the educational process becomes more flexible, the individual educational needs of each child are taken into account, and favourable conditions are created for their education. Various forms of student activity based on the BYOD concept, which is based on the priority of using students’ personal mobile devices, are proposed. he perspective of further research in the development of the methodology for the introduction of BYOD technologies and the development of a system for the formation of research skills based on the principles of STEM physics education is determined. He perspective of further research in the development of the methodology for the introduction of BYOD technologies and the development of a system for the formation of research skills based on the principles of STEM physics education is determined.
PRIMARY GOALS AND TASKS ON THE WAY OF IMPLEMENTATION INTEGRATIVE MODEL OF NATURAL SCIENCE AND TECHNICAL EDUCATION
Authors:   National Pedagogical Dragomanov University, Shyt Mukola , Blagodarenko Ludmila ,   National Pedagogical Dragomanov University, Sichkar Taras ,   National Pedagogical Dragomanov University
Published: September 2023

The article examines the goals and tasks, the fulfilment of which will ensure the successful implementation of the modern model of integration of natural science and technical education. It has been proven that in the near future the most in demand in all branches of the economic sphere will be specialists whose training will combine natural and engineering sciences into a single system. It was determined that the main educational concept should be the concept of STEM education, which will be able to sufficiently provide high-quality training of specialists of the new generation for the needs of the country. The most important tasks that must be completed on the way to the implementation of STEM education are outlined, namely: trengthening the positions of higher education institutions in the global scientific and educational space and training specialists with such a level of natural scientific and technical knowledge that will allow them to carry out scientific and practical activities aimed at to ensure the national security strategy. It is noted that the implementation of STEM education requires understanding and developing the concept of continuous technological education, starting from the first stages of human learning. The need to review, update and improve curricula and educational programs is emphasized, which is explained by the dynamism of the modern educational process, especially in the field of natural and technical sciences.