bluuebunny/crossref_metadata_2025 huggingface dataset:
The effect of social media addiction on students' self-confidence
Authors: Jabbarov Rashid , Abdullayeva Aysel , Mammadova Nuray , Akifzade Fidan , Mammadova Nazrin
Published: October 2024

This article explores how social media usage affects individuals' self-confidence. With advancing technology, more people are dedicating significant time to social media platforms. During this time, users often follow others and compare themselves, which can influence their self-perception. The research aims to investigate whether there is a correlation between social media usage and self-confidence among students from different disciplines at Baku State University. The researchers used the Bergen Social Media Addiction Scale and the Self-Confidence Scale during the research. The study showed that, if p > 0.05, the results can be considered as normally distributed. If, p < 0.05, the dependence between quantities is significant; if greater, the dependence is insignificant. According to the research findings, the significance level is 0, which means it is less than 0.05. In conclusion, there is a significant correlation between social media addiction and self-confidence.
Social inclusion of people with intellectual disabilities through career/professional counseling
Authors: Stárek Lukáš
Published: October 2024

In the context of the inclusive mindset of modern society, as a social value, this paper opens the question of social inclusion of people with mental disabilities in one of the many sociological areas, specifically in the field of professional application of the target group of people with mental disabilities in the labor market. Getting a job is not just a matter of earning; it's also about the sense of self-esteem and value one brings to the world. The aim of this paper is to describe the specifics of career counseling arising from the fact that a student with a given disability is influenced by the impacts of intellectual disability in certain aspects of preparation for a profession or independent life. Vocational counseling can show people with intellectual disabilities that they are capable of achieving things they didn't even know were possible for them. This has a huge positive impact on their self-esteem and overall quality of life. Quality professional counseling contributes to breaking stereotypes and prejudices, which often limit people with mental disabilities in society.
Innovation of teaching methods of physical education for students at universities in Vietnam
Authors: My Phan Thanh
Published: October 2024

The form of teaching organization and teaching methods play a very important role. It greatly influences the quality and effectiveness of students' physical education studies in universities in Vietnam. In this article, the author focuses on researching and proposing necessary changes in teaching Physical Education at universities in Vietnam.The article emphasizes the importance of improving teaching methods to optimize the learning experience and comprehensive development of students. The author useed the interview method to conduct detailed interviews with students and lecturers to better understand their perspectives and experiences in teaching and learning physical education. Results show that innovating methods of teaching Physical Education for students at universities in Vietnam is an important factor for the comprehensive development of students and the education system in general. According to the results we can say that to achieve these goals, close cooperation is needed between stakeholders, including lecturers, students, school administrators and the social community.
Lifestyle education for young people in Vietnam: situation and solutions
Authors: Tram Pham Ngoc
Published: October 2024

In the context of the country's integration with the world, the success of educating young Vietnamese people about lifestyle is evident. The youth have a deep understanding of moral values, demonstrate a spirit of solidarity, actively study, train, self-improve, respect the law, and maintain a healthy lifestyle. Their patriotism, national pride, and community service spirit are also very strong. However, alongside these achievements, there are still limitations that need to be addressed. This article analyzes the current state of lifestyle education for Vietnamese youth and proposes solutions to enhance its effectiveness. By addressing these limitations, we aim to cultivate a generation of young Vietnamese people who are capable, confident, and ready to face the challenges of socio-economic development.
Social responsibility among students of their education for environmental sustainability (case study: Al-Kharj Governorate, KSA)
Authors: Al-Azab Ali Ismail Mohammed Ataullah , Abdellatif Mohamed Sayed
Published: October 2024

A responsabilidade social é um aspecto vital da sustentabilidade econômica, ambiental e social que ajuda a melhorar a qualidade de vida na sociedade. O presente estudo foi conduzido com o objetivo de avaliar o nível de atitude ambiental e responsabilidade social em relação ao meio ambiente entre os alunos e seu treinamento para o desenvolvimento sustentável da Prince Satam Bin Abdulaziz University (PSAU) na província de Al-Kharj. Este estudo incluiu 408 alunos do sexo masculino e feminino da PSAU. Os pesquisadores usaram os critérios de sustentabilidade ambiental e responsabilidade social em relação ao meio ambiente. Usando uma abordagem analítica descritiva, especialmente o método de correlação preditiva, este estudo examinou o padrão de relações entre variáveis ​​e sua capacidade preditiva. Os resultados mostraram altos níveis de sustentabilidade ambiental e responsabilidade social em relação ao meio ambiente entre a amostra. Uma correlação positiva e estatisticamente significativa foi observada entre a atitude de sustentabilidade ambiental e responsabilidade social. Além disso, os resultados mostraram a capacidade de prever a responsabilidade social a partir de atitudes de sustentabilidade ambiental entre a amostra estudada. De acordo com os resultados, pode-se dizer que a educação dos alunos pode fornecer sua responsabilidade social pela proteção ambiental e desenvolvimento sustentável.
Creating Digital Storytelling as Digital Materials in Mathematics Education
Authors: ŞEN EMİNE ÖZGÜR
Published: October 2024

The digitalization of stories through technology-supported software has created the concept of digital stories. In recent years, researchers have been making efforts to investigate the effects of digital stories that have started to be used as digital materials in education. This study aims to evaluate the digital stories created by preservice mathematics teachers for mathematics courses, their experiences in the process of creating digital stories, and their views on the use of digital storytelling as digital materials in mathematics courses. This qualitatively designed study was conducted with the participation of 49 preservice elementary mathematics teachers and lasted 7 weeks. It was found that the digital stories created by the participating preservice teachers were moderately acceptable. Participants characterized digital storytelling as materials that are interesting, support teaching, and provide visual richness. They also stated that they intended to use digital storytelling when they begin working as teachers. However, due to the time-consuming nature of the process, most participants stated that they would use ready-made digital stories instead of creating them themselves. Additionally, the results of this study provide information about the experiences of preservice teachers regarding the process of creating digital storytelling.
Pengaruh Lingkungan Fisik dan Host Terhadap Kejadian Tuberkulosis Paru di Puskesmas Sentosa Baru Medan
Authors: Pratiwi Tia , Hadisaputro Suharyo , Suhartono Suhartono
Published: October 2024

Latar belakang: Tuberkulosis merupakan salah satu dari 10 penyebab kematian dan belum dapat terkendali. Kota Medan merupakan salah satu yang memiliki kasus Tuberkulosis tertinggi di Sumatera Utara. Dalam 5 tahun terakhir terjadi peningkatan kasus tuberkulosis di Kota Medan yang disebabkan berbagai faktor risiko yang bertujuan untuk menganalisis pengaruh lingkungan fisik dan host terhadap kejadian Tuberkulosis Paru Dewasa.Metode: Jenis penelitian ini menggunakan metode kuantitatif dengan desain case control yang dilakukan di Puskesmas Sentosa Baru Medan mulai Januari hingga April 2024. Penelitian ini terdapat sampel sebanyak 122 responden. Kasus adalah penderita tuberkulosis paru dewasa yang berobat di Puskesmas Sentosa Baru sebanyak 61 orang, kontrol adalah bukan penderita tuberkulosis paru yang berobat di Puskesmas yang sama sebanyak 61 orang. Pengumpulan data menggunakan kuesioner dan observasi langsung dengan lembar checklist. Analisa data diolah menggunakan SPSS dengan uji chi square.Hasil: Hasil penelitian menunjukkan jenis kelamin (OR=2,937;95%CI=1,406-6,135,p=0,007), riwayat kontak (OR=9,540;95%CI=3,872-23,504,p=<0,001), kontak serumah (OR=8,625;95%CI=2,763-26,924,p=<0,001), pencahayaan tempat tinggal (OR=6,874;95%CI=1,886-25,050,p=0,003) merupakan faktor risiko dengan kejadian tuberkulosis paru dewasa.Simpulan: Jenis kelamin laki-laki, riwayat kontak dengan penderita, dan pencahayaan pada tempat tinggal yang kurang merupakan faktor risiko kejadian tuberkulosis paru dewasa di Puskesmas Sentosa Baru Medan. ABSTRACT Title: The Effect Of Physical Environment And Host On The Incidence Of Pulmonary Tuberculosis At Sentosa Baru Medan Health Center Background: Tuberculosis is one of the top 10 causes of death and has not been controlled. Medan City is one of the highest tuberculosis cases in North Sumatra. In the last 5 years there has been an increase in tuberculosis cases in Medan City caused by various risk factors, one of which is the physical environment and host.Method: This type of research uses quantitative methods with case control design carried out at Sentosa Baru Medan Health Center from February to March 2024. This study had a sample of 122 respondents and the data was processed using SPSS with chi-square test.Result:  The results of this study showed that the variables of gender (OR=2.937; 95%CI=1.406-6.135,p=0.007), contact history (OR=9.540; 95%CI=3.872-23.504.p=<0.001), household contacts (OR=8.625; 95%CI=2.763-26.924.p=<0.001), residential lighting (OR=6.874; 95%CI=1.886-25.050,p=0.003) is a risk factor for adult pulmonary tuberculosis. Conclusion: Male gender, history of contact with sufferers, and insufficient lighting in residential areas are risk factors for adult pulmonary tuberculosis at Sentosa Baru Medan Health Center.
Physiological and enzyme dynamics of tomato under drought stress
Authors: Tamilselvan Ilakiya , Velu Premalakshmi , Thangaiah Arumugam , Gunasekaran Yazhini , Nedunchezhiyan Vinothini , Kathirvel Sathees Kumar , Chelladurai Dharani
Published: October 2024

Climate change leads to an increase in the frequency and severity of droughts, which have a negative impact on agriculture by altering plant growth and lowering water availability, placing food production systems at risk of sustainability. In order to improve drought resistance and ensure food security in the face of growing water shortages, this research was conducted to determine the physiological and enzymatic responses of tomato plants to drought stress. This study was conducted at Tamil Nadu Agricultural University, Coimbatore, involving 3 hybrids, viz., H1: EC169966 × LE118, H2: EC177824 × LE118 and H3: Arka Ashish × LE 27, along with their parents, P1: EC177824, P2: LE27, P3: EC169966, P4: LE118 and P5: Arka Ashish, under 50 % and 100 % field capacity conditions in factorial completely randomized design (FCRD) with 3 replications. Results indicated a significant change in physiological and enzymactic activities. Here, the parent P2 and hybrid H2 showed superior tolerance, with higher relative water content, proline, leaf water potential, membrane and chlorophyll stability index. Added to that, the response of enzyme activities including peroxidase, nitrate reductase, catalase, polyphenol oxidase and superoxide dismutase was found to be increase notably in drought-tolerant hybrids and parents, which correlated strongly with physiological markers of drought resistance. These modifications highlight the capacity of some genotypes to preserve photosynthetic efficiency and cellular integrity in water-limited environments. The results highlight the significance of choosing and developing drought-tolerant cultivars in order to maintain agricultural production in areas vulnerable to drought and address issues related to global food security.
Exogenous application of mepiquat chloride and crop geometry alters cotton growth and yield traits of compact cotton cultivars (Gossypium hirsutum L.)
Authors: P Dhamodharan , S Somasundaram , K Thirukumaran , R Kavitha , V Ravichandran , P Anantharaju
Published: October 2024

Mepiquat chloride is widely used as a growth regulator in cotton fields to increase crop yield. The present study investigated the effects of growth regulator (mepiquat chloride) and row spacings on compact cotton's growth and yield attributes. An experiment was conducted during summer and winter seasons of 2023-2024 at Cotton Research Station, Veppanthattai and the field trial was designed as a split-split plot with three main plots (Varieties - CO 17, VPT 2, Suraksha), four sub-plots (crop geometry - 90 x 15 cm, 70 x 15 cm, 90 x 10 cm, 70 × 10 cm), and two sub-sub plots (growth regulators - mepiquat chloride @150 ppm, mepiquat chloride + cyclanilide @400 ppm), each replicated three times. Results concluded that the Suraksha variety showed superior performance with greater plant height, higher biomass, more sympodial branches, higher bolls/m2 and higher seed cotton yield than CO 17 and VPT 2. Wider spacing of 90 cm resulted in greater plant height, more sympodial branches and more bolls/m2 to a significantly rise in dry matter production due to the higher number of plants per unit area. Combining mepiquat chloride with cyclanilide at 400 ppm during square initiation and boll development stages significantly increased sympodial branches and bolls/m2, improving seed cotton yield.In contrast, applying mepiquat chloride alone led to more significant biomass accumulation, increased plant height and longer internodal distances. It was suggested that the Suraksha variety be sown at a spacing of 90 x 15 cm and treated with a combination of mepiquat chloride and cyclanilide. This resulted in a plant architecture well-suited for mechanical harvesting.
Optimization of reliability and speed of the end-of-line quality inspection of electric motors using machine learning
Authors: Mlinaric J. , Pregelj B. , Boskoski P. , Dolanc G. , Petrovcic J.
Published: October 2024

Consistently maintaining high-end product quality in the production process is challenging. End-quality inspection must be highly sensitive to detect even minimal deviations, while being fast and accurate. However, quality inspection systems often face calibration intricacies, are time-consuming, and rely heavily on expert knowledge. They handle substantial data flows and inspect numerous features, some of which contribute minimally to the final grade. To address these challenges, the paper proposes employing statistically supervised machine learning methods for classification. Decision trees, Random forests, Bagging, and Gradient boosting classifiers are recommended for feature selection and accurate diagnosis, particularly for electric motor classification. By utilizing the feature importance attribute for feature selection, the proposed approach compares model accuracies, reducing rampup and commission times significantly. The study found that all suggested classifiers achieved high accuracy in classifying electric motors in end-of-line quality inspection system. Moreover, they effectively reduced the number of features and optimize database operations. Utilizing a reduced feature set streamlined diagnostic algorithms, accelerated learning, and improved model interpretability, enhancing overall efficiency and comprehension. Furthermore, analysing the feature importance attribute could simplify diagnostic hardware and expedite quality inspection by eliminating unnecessary steps. Newly generated models can also verify expert decisions on feature selection and limit adjustments, enhancing efficiency in production processes.
A modified bi-objective NSGA-II approach to sustainability in reconfiguration planning of dynamic cellular manufacturing systems
Authors: Sibanda M.M. , Padayachee J.
Published: October 2024

Manufacturing plant layouts are developed to facilitate optimal process flow. Modern manufacturing systems must meet present production demands and be adaptable to changes in process flow in the future. Dynamic Cellular Manufacturing Systems (DCMS) increase the flexibility of layouts by reconfiguring cell structure and equipment distribution, to effectively adjust part routings for optimal process flow. Frequent reconfiguring of plant layout may not always be feasible or economical, however, when new product releases are planned, reconfiguring the plant layout to optimise the work-flow may be extremely beneficial. This paper presents a Non-dominated Sorting Genetic Algorithm (NSGA-II) approach to solving a DCMS problem in a sustainable, and responsible manner. A bi-objective integer programming model was developed over multiple planning horizons with fluctuating product demands. This model aims to achieve sustainability by reducing the cost of production, mitigating the environmental impact of production, and minimise negative social impacts on labourers that work in such environments. A penalty function approach was used to enforce the model constraints during optimisation. This study details trade-offs between the economic factors of a DCMS, the environmental implications of reconfiguring such a system, and the social impacts of reconfigurations on the workforce.
Characterizing the effects of SiC and Al2O3 on the mechanical properties of Al6082 hybrid metal matrix composites: An experimental and neural network approach
Authors: Masood A.A. , Ali A. , Madhu P. , Yashas Gowda T.G. , Jeevan T.P. , Sharath B.N.
Published: October 2024

The use of advanced materials in the field of aerospace and automotive applications has led to use of metal matrix composites (MMC’s) due to their excellent mechanical properties. Aluminium metal matrix composite is one of the materials which can be strengthened by reinforcing it with hard ceramic particles. In the current work Al6082 matrix hybrid composites reinforced with silicon carbide (SiC) and aluminium oxide (Al2O3) was developed by using stir casting technique. The weight percentage of SiC was varied from 0 wt.% to 8 wt.% and keeping 3 wt.% Al2O3 constants. The tensile, hardness, density and impact tests were conducted, and the results obtained revealed that the addition of silicon carbide and Al2O3 particles in Al6082 enhances the mechanical properties of the prepared hybrid composites. The artificial neural network (ANN) model, which was trained using a dataset consisting of experimental results, has effectively captured the correlation between the weight percentage (wt.%) of silicon carbide (SiC) and the mechanical properties of the composite material. Through the examination of this model, valuable insights can be obtained regarding the distinct contributions of SiC to the mechanical properties of Al6082.
Implementation of the course “good chemistry: methodological, ethical and social implications” – a case study
Authors: Maciejowska Iwona
Published: October 2024

The article describes the practical implementation of the course titled “Good Chemistry: Methodological, Ethical, and Social Implications” available on the EuChemS e-learning platform. This MOOC course has been used in various ways at several European universities and through blended learning at Jagiellonian University in Krakow (Poland), which is discussed in this article. Since the groups of students participating in the course were not large and it is worth taking a closer look/insight at this issue, the case study method was used. Sample materials and activities for this course are presented. The survey responses of lecturers and students, as well as the activities and posts of Jagiellonian University in Krakow students on the remote learning platform, were analyzed. The strengths and weaknesses of the course were identified, and the need for continuous efforts by lecturers to develop ethical attitudes, critical thinking, and communication skills in students, especially in the field of socioscientific issues, was emphasized.
Modified ridge estimator in the Bell regression model
Authors: Bulut Y. Murat , Lukman Adewale F. , Işılar Melike , Adewuyi Emmanuel T. , Algamal Zakariya Y.
Published: October 2024

The Bell regression model (BRM), a member of the generalized linear models (GLMs), can be used when the dependent variable consists of overdispersed count data. The maximum likelihood estimator (MLE) is generally used to estimate unknown regression coefficients. The major drawback of the MLE is an inflated variance when multicollinearity problems occur. In this study, we proposed a new biased estimator to cope with the multicollinearity in the BRM. The simulation study is conducted to illustrate the performance of the proposed estimator over the MLE and Bell ridge estimator (BRE). Also, we give real data examples to approve the applicability of the proposed estimator in real data problems.
Geflüchtete in Deutschland
Authors: Avakian Sylvie
Published: October 2024

Der vorliegende Aufsatz nähert sich dem Thema „Geflüchtete in Deutschland“ sowohl aus gesellschaftspolitischer als auch aus theologischer Perspektive. Der Aufsatz vertritt die Auffassung, dass der Mensch zur Entfaltung seines Selbst dazu aufgerufen ist, dem Anderen zu begegnen und für ihn einen Platz in seinem Leben einzuräumen, damit der Mensch nicht in den Grenzen seines eigenen Selbst gefangen bleibt. In diesem Aufsatz sind es die Geflüchteten in Deutschland, die als die Anderen betrachtet werden. Der Aufsatz ist daher ein Plädoyer an die Einheimischen, Geflüchtete aufzunehmen und bereit zu sein, mit ihnen in eine gegenseitige Beziehung zu treten. Die Offenheit der Theologie kann sich dabei auf zwei Ebenen zeigen: Einerseits durch die ständige Rückkehr zum Kern der christlichen Botschaft, nämlich Gottes- und Nächstenliebe. Zum anderen in der Offenheit des christlichen Denkens und der Theologie und ihrer Lehren, die den christlichen Glauben in der Gegenwart vertreten. Der Aufsatz geht davon aus, dass das Element der Offenheit gegenüber den Anderen ein wichtiger Bestandteil einer zeitgemäßen, aber auch zukunftsfähigen Christlichen Theologie ist. Damit stellt der Beitrag einen grundsätzlichen Schlüsselgedanken für eine zukünftige christliche Theologie bereit, der fordert, den Anderen immer im Blick zu behalten, damit die Grenzen der Selbsterhaltung und Selbstdurchsetzung der Theologie überwunden werden können.
Preparing future primary school teachers to solve the problem of historical education of primary schoolchildren with the main focus on the formation of historical memory: Methodological and tech-nological aspects
Authors:   South Ural State Humanitarian Pedagogical University, Shityakova Natalya Pavlovna , Zabrodina Inga Viktorovna ,   South Ural State Humanitarian Pedagogical University, Nagornov Igor Vladimirovich ,   South Ural State Humanitarian Pedagogical University, Titov Alexander Nikolaevich ,   South Ural State Humanitarian Pedagogical University, Verkhovykh Irina Valeryevna ,   South Ural State Humanitarian Pedagogical University
Published: October 2024

Introduction. The article deals with the problem of preparing future teachers for delivering historical education and the formation of historical memory in primary schoolchildren. The purpose of the article is to clarify methodological and technological aspects of preparing future primary school teachers to solve the problem of historical education of primary schoolchildren with the main focus on the formation of historical memory. Materials and Methods. The study follows the value-semantic approach. The research methods employed include the survey, the unfinished sentence method, statistical methods and content analysis. Results. The authors summarized the existing theoretical research on this problem, identified the level of future teachers’ awareness about the history of our country, justified the need to apply a value-semantic approach to the process of preparing students for delivering historical education in primary school with the main focus on the formation of historical memory, and proposed ways of preparing students for delivering historical education. Conclusions. The authors conclude that the preparation of future teachers for historical education with the main focus on the formation of historical memory among students should be carried out on the basis of a value-semantic approach. The basis of readiness for the implementation of this process is high level of teachers’ awareness about the history of our country, as well as their understanding and practical application of the mechanism of historical education in conjunction with the formation of historical memory.
Professionally significant qualities of teaching producing in the context of digital development: Evaluating the effectiveness by education stakeholders
Authors:   Omsk State Pedagogical University, Sokur Elena Anatolyevna , Starikov Viktor Innokentievich ,   Omsk State Pedagogical University, Burmistrova Nataliya Aleksandrovna ,   Omsk State Pedagogical University
Published: October 2024

Introduction. The article is devoted to the problem of increasing the level of communicative culture in future economists in the digital era. The purpose of the research is to substantiate the effectiveness of professionally important qualities of teaching producing in universities of Economics, taking into account the digital format of interaction. Materials and Methods. The methodological basis of the study is the Pareto optimality principle (2080), which allows the authors to determine the necessary minimum of teaching resources in terms of modern communication knowledge for training economists in the digital age. During the study, an online survey was conducted in order to substantiate the effectiveness of professionally important qualities of teaching producing in the context of the digital specifics of the socio-economic space. The research sample consisted of students and academic staff of economics departments of the Financial University under the Government of the Russian Federation, Omsk State Pedagogical University, and Omsk State Technical University. Results. The theoretical analysis of the research problem revealed professionally important qualities of teaching producing (communication skills, digitals kills, knowledge of the principles of teaching ethics to create an atmosphere of trust and psychological safety), which facilitate the development of future economists’ communicative culture (motivational, cognitive, and functional components). According to the results of the empirical part of the study, the education stakeholders highly appreciated the effectiveness of professionally significant qualities of teaching producing and their positive correlation. Conclusions. The use of the Pareto rule allows the authors to conclude that the formation of professionally significant t qualities of teaching producing, which make up about 20% of the professional qualities composition for academic staff at universities of economics, determines 80% of the productivity of educational outcomes in terms of developing future economists’ communicative culture. This, in turn, determines the ability of graduates to build communication taking into account the career prospects at various levels of digitalization and interaction with artificial intelligence systems.
Peculiarities of developing deaf and hard-of-hearing students’ study skills in the digital learning environment based on gamification
Authors:   Kalashnikov Izhevsk State Technical University, Shishkina Anastasia Andreevna , Ponomarenko Ekaterina Petrovna ,   Kalashnikov Izhevsk State Technical University, Gareyev Andrey Alexandrovich ,   Kalashnikov Izhevsk State Technical University, Krasavina Yuliya Vitalievna ,   Kalashnikov Izhevsk State Technical University
Published: October 2024

Introduction. The article focuses on the problem of designing educational procedures aimed at developing skills of information searching on the Internet for deaf and hard-of-hearing (DHH) technical university students. The purpose of the research is to reveal the peculiarities of developing deaf and hard-of-hearing students’ study skills in the digital learning environment based on gamification. Materials and Methods. The authors used theoretical (analysis, comparison) and empirical methods including observation; V. K. Gerbachevsky’s survey to evaluate the level of aspiration after the game; a questionnaire designed for this study. Experimental study was conducted with the use of the original game. The Wilcoxon test was chosen as a statistical criterion for verifying the reliability of data matches and differences. Results. The results showed positive dynamics in the target skills, and the feedback received from the students was positive. The analysis of the personality motivational structure that arose during the game allowed the authors to identify factors that positively influenced the use of gamification for teaching DHH students. Observation identified challenges in conducting a group game for this category of students. Conclusions. The obtained results proved gamification to be effective to develop DHH students’ information search skills in a digital environment.
The relationship between the level of preschoolers’ cognitive development and the success of their adjustment to primary school
Authors:   Institute of child development, health and adaptation, Filippova Tatiana Andreevna , Verba Alla Stepanovna ,   Institute of child development, health and adaptation, Orlov Kirill Victorovich ,   Institute of child development, health and adaptation, Sokolova Lyudmila Vladimirovna ,   Moscow State University of Sport and Tourism
Published: October 2024

Introduction. The article studies the problem of children’s adaptation to systematic learning at primary school, which is significant in a rapidly changing world, determining both the conditions of the educational environment and the requirements for the level of preschoolers’ preparation. The purpose of this study is to evaluate the influence of the level of preschoolers’ cognitive development on their adaptation to systematic learning at primary school. Materials and Methods. The methodology of the study is based on a systematic approach that allows the authors to reveal psychophysiological characteristics of the subject, the complex of which provides the most complete picture of the child’s development. The following methods were used: theoretical analysis, synthesis; diagnostic methods, allowing to assess the level of cognitive development and academic performance of the examined children; methods of mathematical statistics for processing empirical data. Results. Through theoretical analysis and generalization of research data, it is shown that the majority of children have developed basic cognitive functions by the older preschool age. However, carrying out a comprehensive diagnosis of the preschoolers’ functional development in preparatory groups, the authors identified low levels of voluntary regulation, visual-spatial perception and visual-motor coordination in a third of the examined preschoolers. Based on the data analysis of these children’ academic performance at primary school, the authors identified influence of the level of the above mentioned cognitive functions in preschool age on academic performance at primary school. Longitudinal analysis showed a gradual increase in academic performance in this group of students by the third year at primary school. Conclusions. Based on the results obtained, the authors showed that the level of cognitive functions development, as well as social and communication skills, significantly influences the successful adaptation of first-year primary schoolchildren and subsequent academic performance at primary school. In conclusion, the authors point out that it is necessary to conduct a comprehensive assessment of cognitive development in older preschool age in order to identify individual characteristics and predict possible risks of maladjustment at school.
Optimizing Random Forest for Predicting Thoracic Surgery Success in Lung Cancer Using Recursive Feature Elimination and GridSearchCV
Authors: Putra Deonisius Germandy Cahaya , Putra Anggyi Trisnawan
Published: October 2024

Abstract. Lung cancer is one of the deadliest forms of cancer, claiming numerous lives annually. Thoracic surgery is a strategy to manage lung cancer patients; however, it poses high risks, including potential nerve damage and fatal complications leading to mortality. Predicting the success rate of thoracic surgery for lung cancer patients can be accomplished using data mining techniques based on classification principles. Medical data mining involves employing mathematical, statistical, and computational methods. In this study, the prediction of thoracic surgery success employs the random forest algorithm with recursive feature elimination for feature selection. The feature selection process yields the top 8 features. The 8 best features include 'DGN', 'PRE4', 'PRE5', 'PRE6', 'PRE10', 'PRE14', 'PRE30', and 'AGE'. Hyperparameter using GridSearchCV is then applied to enhance classification accuracy. The results of this method implementation demonstrate a predictive accuracy of 91.41%.
Purpose: The study aims to develop and evaluate a Random Forest model with a Recursive Feature Elimination feature selection and applies hyperparameter GridSearchCV for predicting thoracic surgery success rate.
Methods: This study uses the thoracic surgery dataset and applies various data preprocessing techniques. The dataset is then used for classification using the Random Forest algorithm and applies the Recursive Feature Elimination feature selection to obtain the best features. GridSearchCV is used in this study for hyperparameter.
Result: The accuracy using the Random Forest algorithm and Recursive Feature Elimination feature selection with hyperparameters tuning GridSearchCV resulted in an accuracy of 91,41%. The accuracy was obtained from the following parameters values: bootstrap set to false, criterion set to gini, n_estimator equal to 100, max_depth set to none, min_samples_split equal to 4, min_samples_leaf equal to 1, max_features set to auto, n_jobs set to -1, and verbose set to 2 with 10-fold cross validation.
Novelty: This study comparison and analysis of various dataset preprocessing methods and different model configurations are conducted to find the best model for predicting the success rate of thoracic surgery. The study also employs feature selection to choose the best feature to be used in classification process, as well as hyperparameter tuning to achieve optimal accuracy and discover the optimal values for these hyperparameters.
Preparation and slow-release properties of nanocellulose composite hydrogels
Authors: Zhang Kehong , Guo Xingyu , Zhang Yue , Wang Minyi , Zhang Wenqi
Published: October 2024

Nanocellulose (CNF) was obtained from carrots using a combination of chemical treatment, mechanical milling, and ultrasonic treatment. Ultrafast preparation of maleic anhydride esterified nanocellulose was achieved by a hydrated hydrogen ion-driven dissociation, chemical cross-linking strategy based on a “one-pot” reaction method. Esterification modification with maleic anhydride reduced the crystallinity of nanocellulose and enhanced its thermal stability. High-strength drug-carrying hydrogels (MACNF/SA) with different drug loading capacities were prepared using cefixime (CFX) as a drug model and maleic anhydride esterified nanocellulose (MACNF) and sodium alginate (SA) as the main raw materials. The compressive strength of MACNF/SA hydrogels made from MACNF reached a maximum of 80.3 kPa when the mass ratio of CNF to MA was 2.5:12. Rheological property tests showed that the MACNF/SA hydrogels were pseudoplastic fluids with shear thinning. The drug release from the drug-carrying hydrogels followed non-Fickian diffusion.
Fabrication of ultrafiltration membrane with antibacterial properties by blending Ag/UiO-66-NH2 and bamboo cellulose
Authors: Weng Rengui , Dong Shuo , Tian Feng , Liao Dongqi , Qin Jie , Bai Junjiang , Chen Guohong , Li Shaojie , Zhao Shikang
Published: October 2024

Cellulose is a widely available organic substance that forms membranes with excellent hydrophilicity and biocompatibility. However, it is prone to biological contamination because its surface is conducive towards the accumulation of biologically active substances, which has hindered its application potential. In this work, an antimicrobial cellulose-based membrane (Ag/UiO-66-NH2@BCM) with high water flux, high retention rate, and good hydrophilicity was prepared. At an optimal blend ratio of 1 wt% Ag/UiO-66-NH2, the membrane exhibited significant improvements, including a 31% increase in pure water flux, a Bovine Serum Albumin retention rate of 99.6%, and a water flux recovery of 97.4%. Crucially, the membrane demonstrated potent antibacterial, showcasing its broad-spectrum antimicrobial properties. Investigations into the ability of Ag/UiO-66-NH2@BCM to remove Pb2+, Cd2+, and Cr6+ ions from a water column revealed that the maximum adsorption capacity of the monolayer was 405, 390, and 328 mg/g, respectively. The composite membrane demonstrated broad-spectrum and highly effective antimicrobial properties, along with efficient removal of heavy metal ions. The proposed method can be utilized to prepare other composite membranes for water treatment and other fields of membrane separation technology.
Influence of dammar resin on the mechanical properties of composites reinforced with corn husk and paper waste
Authors: Mirițoiu Cosmin Mihai
Published: October 2024

This study aimed to investigate the influence of dammar resin on the mechanical properties of composite materials reinforced with corn husk and paper waste laminates. Different percentages of dammar resin (50%, 60%, and 70%) were added to the matrix while keeping the reinforcement constant. For all samples, the ratio was maintained at 40% matrix and 60% reinforcement. With the experimental results obtained, statistical analyses were conducted: two-way analysis of variance (ANOVA), Levene’s test, Shapiro-Wilk test, and ANOVA post hoc (with Bonferroni correction). The null hypothesis stated that dammar resin does not influence the mechanical properties. For all tests considered, the null hypothesis was rejected (p < 0.05), the variances were homogeneous (p > 0.05), and the data followed a normal distribution (p > 0.05). It was found that dammar resin had a significant influence on the mechanical properties as the percentage increased from 50% to 70% (p < 0.0083). For each test, based on already known premises, an explanation of the phenomenon that could occur due to the insertion of dammar resin was provided, serving to complement and validate the statistical estimations.
The Impact of COVID-19: A study of academic stress in high school students in Vietnam due to the transition from offline to online lessons.
Authors: Soperna Niranjana
Published: October 2024

CoViD-19 had a detrimental impact on all humans in our society, from white-collar office workers to students. The outbreak caused stress in all individuals, leading to pres- sure, and a decline in learnability, even though its magnitude and origins varied. In con- text with the education domain, the students have suffered adverse repercussions due to the shift from traditional in-person classes to online learning modes, which has been a major cause of their mental health’s downward spiral, leading to poor performances, and the inability to learn in unmonitored classroom conditions.
Aim. To assess the stress in high school students and correlate their stress levels with their end-of-year examination results for 2021.
Method. This can be achieved using Pearson’s correlation coefficient, by assessing 78 high school students selected as per inclusion and exclusion criteria, from the public schools of Hanoi, with their respective results obtained for their end-of-year examina- tions of March 2021. The Academic stress will be calculated with the Student Academic Stress Scale (SASS), and, all the percentage of grades will be out of 100.
Results. The results obtained from the following Pearson’s correlation coefficient tests showed a moderate negative correlation existing between Academic Stress levels and marks it obtained, with the r value of -0.447. Limitations: The sample was collected from 4 public schools in Hanoi, not taking the rest of the country into account, and the accuracy of the stress level grading using SASS which can be affected by an impairment in cognitive function, excludes outliers from the research that was conducted.
A study of the use of artificial intelligence by student-teachers
Authors: Isave Suresh G.
Published: October 2024

Aim. The study aims to know how student-teachers of B.Ed. courses make use of AI for education and their opinion about the use of AI in education, in general.
Methods. The Survey method was used for the study. There were 72 student-teachers of B.Ed the course of Savitribai Phule Pune University, Pune, and studying at Tilak Col- lege of Education, Pune, India, participated in the survey. The questionnaire was the data collection tool for the study. The questionnaire was circulated on WhatsApp group through Google Form which had 12 questions with choices based on the status variable.
Results. The data analysis of the 12 questions was done by using percentages and it was presented in Pie charts for each question. The results summarise that most of the stu- dent- teachers use ChatGPT, most of the student-teachers use AI for lessons, practicals, reports, and presentations and student-teachers use AI sometimes in a limited manner. According to the analysis of student-teachers, the use of AI should not be banned but regulations and guidelines should be there.
Conclusions. The study underlines that student-teachers use AI in their course and they are in support of use of AI in education. Hence there is a need for general guidelines from the apex bodies regarding use of AI in Education rather than a blanket ban on AI.
Is ‘global’ warming concept consistent with thermodynamics according to ChatGPT?
Authors: Buda Andrzej
Published: October 2024

Aim. Taking care of the environment on Planet Earth is still important and has be- come popular exceeding boundaries of science. Therefore description of climate changes has evolved into the concept of Global Warming since the 20th century. On the other hand, principles of thermodynamics where temperature is defined locally (not globally) are still valid. In my research I have applied tools like ChatGPT to detect possible contra- dictions and propose bridging gaps between statistical physics and the concept of global warming.
Methods. The concept of temperature based on calculations of local particles’ kinetic energy in a microcanonical ensemble has been confronted with the concept of so called ‘average’ temperature in ‘global’ warming. The principles of Kinetic Theory and Statisti- cal Ensembles provided by statistical physics have been applied to ChatGPT based on natural language Results. Contradictions between the concept of average temperature in global warming and the concept of temperature based on local particle kinetic energy arise due to the different scales, heterogeneity, presence of feedback mechanisms, and boundary conditions. According to the chatGPT’s verdict, the concept of temperature based on calculations of local particles kinetic energy in the microcanonical ensemble is statistically more accurate.
Conclusion. The concept of so called ‘global’ warming (confronted with the physics- based concept of temperature, providing a more accurate and nuanced understanding of temperature changes in different scales and contexts) should be replaced by the idea of local warming which is consistent with the concept of temperature based on calcula- tions of local particles kinetic energy in the microcanonical ensemble and experimental measurements provided by NASA. Therefore, talking about local (not global) warming is more reasonable when our goal is to prevent our coexistence with environment on Planet Earth from disasters.
Impact of endometriosis on the quality of sexual life of women of reproductive age in Poland
Authors: Lipieta Miłosz , Kiedik Dorota
Published: October 2024

Aim. The aim of this study is to demonstrate the impact of endometriosis on the quality of sexual life of women in Poland, through a comparative analysis of a population of healthy women and those struggling with the condition.
Methods. The study was conducted using the validated FSFI questionnaire and the author’s supplementary questions. Information about the survey was made available on social networks and groups for women with endometriosis, as well as to healthy women constituting a control group. The CAWI technique was used in the study. The survey consisted of questions divided into mod- ules: metric data, having endometriosis and previous treatment, sexuality before and after possible treatment, and for healthy women - current assessment of the quality of sexual life.
Results. Endometriosis negatively affects the quality of sexual life of women of reproductive age in Poland. Decreased quality of sexual life occurring in women with endometriosis indicates the presence of clinically significant sexual dysfunctions. Dyspareunia (a type of sexual dysfunction that manifests itself as pain during intercourse (Lew-Starowicz, Lew-Starowicz, & Skrzypulec-Plinta, 2020)) is signifi- cantly more common in women with endometriosis than in healthy women in Poland. 69 percentage points more women indicate the presence of dyspareunia when suffering from endometriosis compared to healthy women. Treatment reduces pain symptoms in women suffering from endometriosis. 24 per- centage points more women show no symptoms of dyspareunia after treatment, compared to women before treatment. The presence of endometriosis does not significantly affect women’s sense of sexual at- tractiveness. Women with endometriosis, despite the presence of pain, engage in sexual activity as often as healthy women. Treatment of endometriosis, both pharmacological and surgical, increases the quality of sexual life of women of reproductive age in Poland.
The future of AI in medicine and education - 10th anniversary of E- methodology community
Authors: Jarynowski Andrzej , Maksymowicz Stanisław , Ślósarz Luba
Published: October 2024

Abstract
This special edition of the E-methodology journal and conference, marking its 10th anniversary, explores the dynamic intersection of technology, science, and society. Dur- ing a decade we have seen a revolution in the meaning of “e” from being just a digi- tal version of human activity to a totally new world of LLMs (Large Language Models) and other deep learning possibilities. The articles in this volume delve mainly into the transformative potential of artificial intelligence (AI) across diverse fields such as forensic science, education, healthcare, One Health, and public discourse, while examining the broader implications of technology on human life.
Keywords: Artificial intelligence, technology, education, medicine