bluuebunny/crossref_metadata_2025 huggingface dataset:
Development and Perception of Trainee Teachers on Salt-UNO Card Game for Salt Topic
Authors: Mohd Redzuan Nur Atiqah , Lee Tien Tien
Published: March 2024

Game-based learning is an effective teaching strategy to improve students’ academics, increase motivation and involve students more actively during learning and facilitation. This study was conducted to develop Salt-UNO Card game for Form Four Salt topic. This study also aims to determine the value of game content validity, game feature validity and game perception from the aspects of design, content and usability. The research design of this study is developmental study. Instructional design model used to develop Salt-UNO Card game is the ADDIE Model. The instruments used in this study are game content validity evaluation form, game feature validity evaluation form and game perception questionnaire. A total of two chemistry lecturers were appointed to assess the validity of the game content and two game field lecturers were appointed to assess the validity of the game feature. The respondents for the pilot study were 31 semester seven trainee teachers of the Bachelor of Education (Chemistry) programme. A total of 201 semester one until semester six trainee teachers of the Bachelor of Education (Chemistry) programme were involved in the field study to identify the perception of the game. Cohen kappa value for content validity of the game is 1.00 and the validity of the game feature is 0.84. Field study findings show that trainee teachers' perceptions of game design, game content and game usability is good. In conclusion, the Salt-UNO Card game has a satisfactory values of game content validity and game feature validity. Perceptions of the game also gained good feedback from the trainee teachers. Implication of the study is the use of Salt-UNO Card game during the learning and facilitation process is very suitable and useful to help students in the learning of Chemistry subject especially in Salt topic.
Review on Anthraquinones Isolated from Rubiaceae Family
Authors: Ammar Rushdan Nur Afiqah Nadhiah , Ab Ghani Nurunajah , Rasol Nurulfazlina Edayah
Published: March 2024

A current economic trend is to highlight natural resources and many plant species are rich sources of anthraquinones. Anthraquinones are a diverse group of natural compounds extensively studied in various articles. Commonly used for dyes with 30% of it contributed to textile industry. Anthraquinone plays an important chromophore in cancer chemotherapy. They are widely distributed in Rubiaceae family and exhibit various biological activities. Malaysian Rubiaceae, especially plants from Morinda, Rennellia, Psychotria, and Prismatomeris genera, have been known to be rich in anthraquinone content, especially in the roots. The current review aims to provide a comprehensive update on the isolation of anthraquinones from Rubiaceae family in Malaysia. It also discussed the taxonomy, chemistry, and pharmacology studies of the genus. Through the years, 45 anthraquinones have been reported from various species of Rubiaceae demonstrating promising pharmacological activities. The information presented in this review can provide a scientific foundation for future research on the possible therapeutic applications of the species. Enhancing the links between plant biological effects and traditional uses with their chemical characterization.
Needs Analysis for the Development of a Neoteric Mathematics Learning Module in Fractions and Money for Year One Students
Authors: Kashful Anwar Nurul Amirah , Md Junus Noor Wahida , Nik Man Nik Nur Syafina , Tarmizi Rawdah Adawiyah , Setambah Mohd Afifi Bahurudin , Azmi Siti Hartini , Imam Koning Sajastanah , Jamil Siti Jasmida
Published: March 2024

A needs analysis should be carried out for any product development to ensure that the product produced met the needs of its users. This study was conducted to review the teachers’ knowledge related to the Neoteric approach that applies the learning method of integrating subjects also analyzing the needs and methods required in the development of the Mathematics Neoteric Learning Module in Fractions and Money for first year students. The study was carried out by a quantitative approach using a questionnaire instrument. The sample size of these study were 37 teachers those selected randomly among teachers who teach Mathematics, Physical Education or Music Education in the first year. The data obtained were analyzed using descriptive statistics of frequency and percentage. The survey shows that teachers' knowledge of the Neoteric approach is very weak, with only 16.2% of respondents saying they know about these Neoteric approach concepts. However, the majority of teachers agreed on the needs to develop a Neoteric Learning Module that integrates the subjects of Physical Education and Music with Mathematics (73.0%). The results of this study also shows that a Neoteric Learning Module needs to be developed for the topic of Fractions and Money for first year students. This needs analysis also gives an overview for a suitable and appropriate learning methods that can be used in the development of the module.
Thermal Annealing Impact on Optical Properties of Spin-coated P3HT: CdS Thin Film
Authors: Zakaria Nabila Anis , Mohd Azmi Mohd Syahriman , Naning Fatin Hana , Capan Rifat , Syed Mohamad Syed Abdul Malik
Published: March 2024

Polymers are flexible materials that can be easily processed and are formed into a thin film by several methods such as spin-coating, dip-coating, film-casting, and printing. The spin coating method has been extensively utilized in fabricating solution-prepared organic/inorganic electronic devices, this technique is positively efficient in generating thin film apart from being a flexible method to execute. In this study, poly(3-hexylthiophene) (P3HT) material is selected as polymer and cadmium sulphide (CdS) as nanoparticles to produce a hybrid nanocomposite thin film through the process spin-coating method. The P3HT and cadmium ion solution were used to fabricate a thin film onto a quartz glass substrate at a spin speed of 500 rpm for 10 seconds. This spin-coated thin film was heated at different temperatures such as 40°C, 80°C, 120°C, and 160°C for optical properties using a UV-Vis spectrophotometer. The UV-Vis absorption spectra of P3HT: CdS indicated absorption peaks in the UV region, which were ascribed to the band gap of the P3HT: CdS thin film. Our results showed that the optical properties of the P3HT: CdS be contingent on the annealing temperature. The film at room temperature yielded a band gap value of 1.98 eV, at 40°C it resulted in 1.99 eV. The band gap value was increased when annealed at 80°C with 2.02 eV. Annealing temperatures were then raised to 120°C and 160°C, leading to band gap values of 3.11 eV and 2.80 eV respectively.
Stability of Solutions to a Caginalp Phase-Field Type Equations
Authors: Ipopa Mohamed Ali , Doumbé Bangola Brice Landry , Andami Ovono Armel
Published: March 2024

This paper is concerned with the study of the asymptotic behavior of a generalization of the Caginalp phase-field model subject to homogeneous Neumann boundary conditions and regular potentials involving two temperatures. This work follows on from a paper in which the well-posedness of the problem, the dissipativity of the system, and the existence of global and exponential attractors were demonstrated. In addition, a study on the semi-infinite cylinder was also carried out. Indeed, if it is true that the existence of a global attractor makes it possible to predict the asymptotic behavior of solutions on a bounded domain, it does not say that these solutions converge. After having shown the existence of the global attractor, it is therefore important to look at the convergence of the solutions over time. There are several methods for determining the asymptotic behavior of the solutions of a differential system. We can mention the one that consists of transforming the given differential equations into integral equations and then applying the classical Picard successive approximation procedure to them. This work is devoted to the study of the convergence of solutions to steady states, adapting a well-known result concerning Lojasiewicz-Simon’s inequality.
Radiative Impact on Jeffery Trihybrid Convective Nanoflow over an Extensible Riga Plate: Multiple Linear Regression Analysis
Authors: Bhargavi N , T Poornima
Published: March 2024

Solar thermal systems utilize solar energy to generate heat, and the incorporation of nanoparticles such as Al2O3-Cu-Ni with a water base can elevate their efficiency. These nanofluids, composed of aluminum oxide, copper, and nickel nanoparticles dispersed in water, enhance heat absorption and transfer within the system. This improvement contributes to heightened overall performance and effectiveness of solar thermal systems. Cupronickel alloy helps in the process of desalination. Hence, this study examines the heat exchange properties in the context of a boundary layer flow of a trihybrid over a variable-thickness Riga plate stretched and heated by convective heat with non-Newtonian fluid (Jeffery) in the presence of thermal radiation. The governing equations of the boundary layer are transformed into a system of ordinary differential equations through appropriate similarity transformations, and those equations are resolved utilizing a boundary value problem program. The engineering parameters are analyzed through the application of multiple linear regression. The key finding of the investigation is that the Prandtl number, and thickness index number all have a positive impact on the Nusselt number. The presence of radiation and a uniform heat source improves the Nusselt number, physically this energy transfer improvement assists in higher solar collector efficacy; and converts that energy to usable heat. The rationale behind selecting trihybrid nanoparticles Al2O3, Cu, and Ni lies in the balance and inertness of Al2O3, with metals Cu, and Ni, both possessing more thermal conductivity.
Influence of Self-Image on Learning Efficacy among the Learners with Physical Impairments in Public Regular Primary Schools in Kitui County
Authors: Ndethya David , Macharia Susan , Kimani Cecilia
Published: March 2024

Learners with physical impairments have a right to quality education within regular schools. However, learning efficacy among learners with physical impairments in regular public schools has been on a downward trajectory. Therefore, the objective of this study was to find out how self-image affected learning efficacy among learners with physical impairments in regular public primary schools in Kitui County. Correlational and phenomenological research designs were triangulated to give a unified perspective of the study. A mixed research methodology whereby quantitative and qualitative data were concurrently collected was applied. The target population was 89,745 participants, which included 56,875 learners, 2,607 teachers, 30,221 parents and guardians and 42 curriculum support officers. Purposive sampling techniques were used in identifying the sample of the study. The sample size was 265 respondents comprising 162 teachers, 51 learners with physical impairments, 47 parents of the learners with physical impairments and 5 Special Needs Curriculum Support Officers. Data collection tools were questionnaires, an interview schedule, observation checklists and a focused group discussion guide. Quantitative data were computed with the aid of Statistical Package for Social Sciences version 25, and results were analysed through descriptive methods and inferential statistics. Qualitative data was analysed thematically and presented in narrative form. From the findings, the researcher established that there was a significant relationship between self-image and learning efficacy among learners with physical impairments in regular schools. Poor self-image among the learners with physical impairments triggered by negative attitudes and stereotypes from the school community were impediments to the learning efficacy among the learners with physical impairments. The study recommended educational psychologists, special needs curriculum support officers and teachers to spearhead psychological makeups among the learners with physical impairments to appreciate themselves and improve their learning efficacy
Smallholder Farmers' Local Practices Underpinning the Use of Agroforestry Technologies in Uganda's Mt. Elgon Region
Authors: Kyazze Florence Birungi , Kalanzi Fred , Kiyingi Isaac , Sebuliba Esther
Published: March 2024

Mt. Elgon is a unique cross-border afro-montane ecosystem that has always provided vital essential goods and services for human livelihoods. However, with the increasing population density, forest degradation has become a significant issue, resulting in a rise in landslides, mudslides, pest and disease outbreaks, and reduced land productivity. Recently, it has been realized that many smallholder farmers have incorporated trees into their farming systems using indigenous knowledge, indicating their profound knowledge regarding tree use and management has reminded us that farmers have always been privy to much information regarding tree use and management accumulated over the years. This study aims to investigate how smallholder farmers' local practices enhance the use of agroforestry technologies in the eastern highlands of Uganda. This information will help develop and promote agroforestry practices that are acceptable to farmers. The study employed a case study approach, collecting data from 12 smallholder farmers over four months. The results indicate that smallholder farmers use local practices to enhance tree seedling survival, optimize space, and shorten the waiting time for tree-related benefits. Although some of their practices may not align with the desired outcome of farm productivity, further validation is needed to understand how they can be integrated into mainstream agroforestry research and development
TEACHING COMPUTER MODELING TO INFORMATION TECHNOLOGY STUDENTS: A PRACTICE-ORIENTED APPROACH
Authors:   Ural State Pedagogical University, Chikova Olga A. ,   Novosibirsk State Pedagogical University, Vityunin Maxim A. ,   Ural State Pedagogical University, Sartakov Igor V. ,   Novosibirsk State Pedagogical University
Published: March 2024

A structural model of modeling competence in information technology education is presented, which includes three main elements: subject-specific knowledge; meta-knowledge about models and simulation and modeling practice. The structural model of modeling competence develops the theory and methodology of teaching modeling to schoolchildren. A survey of experts was conducted, which showed high perceived usefulness, ease of use, and behavioral intention to use the proposed modeling competency model for information technology classes.
THE TERM "ARCHAEOLOGICAL CULTURE" AND ITS DISCOURSE IN ANTHROPOLOGICAL STUDIES OF EARLY IRON AGE POPULATIONS ON THE UPPER OB
Authors:   Institute of Archaeology and Ethnography SB RAS, Borodovskiy Andrei P.
Published: March 2024

The paper analyzes the use of the term “Bolsherechenskaya archaeological culture” in domestic anthropological publications of the second half of the 20th and early 21st centuries. Using historiographical and conceptual analysis, the author of the paper presents the main options and contradictions in using the term “Bolsherechenskaya” archaeological culture within the framework of anthropological publications. The analysis of available materials helps to emphasize the discussion points regarding the contradictory and inconsistent use of this term in a specific regional context. Such features fully correspond to the general tendencies of crisis phenomena in using the term “archaeological culture” in modern settings.
Emotional Gaps: research of the influence of intergenerational emotion observation show on young people’s love concept
Authors: zhang jiaming
Published: March 2024

Intergenerational emotion observation show has gained wide popularity amon the young audience, and it is an important window to research an observe the different concepts and opinions on love between generations. Based on cases study and questionnaire survey, this article aims to research on the influence of intergenerational emotion observation show on young people’s love concept. It is concluded that the more immersed young audience are in watching intergenerational emotion observation programs, the more they agree with their parents' views on marriage and love. This paper believes that intergenerational communication should be increased to reduce the emotional gap between generations, and watching intergenerational emotion observation programs is one way.
Memory Arousal: Research on the Communication Effect of Online Concerts
Authors: tan shiyu
Published: March 2024

In the post-COVID-19 era, the offline gathering is limited, and many offline activities have changed to online activities. As a result, the online concert industry has developed and quickly moved to the public view. Among them, the online concert content with memory factor has a wider communication effect and higher audience participation than other theme online concerts. This paper analyzes the online concert during the epidemic by questionnaire and interview and explores its transmission effect. The study found that the closer the concert theme is to the audience's collective memory, the easier it is to attract the audience's attention; The more interactive and active the audience is, the stronger the audience's stickiness to the concert is
Youth Subculture Performance from the Perspective of Emotional Communication——A Study Based on the Phenomenon of “Crazy Literature”
Authors: wang jue
Published: March 2024

Since the year of 2022, the subculture of "crazy literature" has become increasingly popular among young people, and the discourse characteristics of its texts and the emotional motivations behind them have also begun to be concerned and discussed. Through discourse analysis, in-depth interviews and questionnaires, it can be found that in terms of discourse characteristics, "crazy literature" frequently uses rhetoric such as repetition and piling up, and constructs a clear sense of picture with logically disordered discourse; in terms of emotional motivation, "crazy literature" reflects the strong needs of youth for emotional catharsis and self-regulation; in terms of interaction mode, "crazy literature" is not an isolated emotional expression of individuals, but a carrier of youth's social desires, showing the characteristics of a "carnival" interactive ritual.
Shampoo girls and the digital divide: A Study on the relationship between mobile phone ban system and the knowledge growth of marginalized groups
Authors: liu yinheng
Published: March 2024

Under the background that digital media has become the "infrastructure" of the current society, some marginalized people have poor digital access, resulting in a "digital divide" between them and the community. The author notices the rejection of the mobile phone, a tool that links the digital society, to the particular type of shampoo girl at work. Firstly, it introduces how the unique mobile phone ban system affects the generation of the digital divide and then examines how the digital divide deepens and solidifies. Finally, the reflection on the digital divide faced by the particular group of shampoo girls is put forward. The innovation of this paper is to notice the multiple impacts of the digital divide faced by special marginalized groups on their work and life.
Youth Subculture Performance from the Perspective of Emotional Communication——A Research Based on the Phenomenon of “Meaningless words”
Authors: wu xiaoqi
Published: March 2024

In the context of "Traffic is King ", a large number of videos and content with empty meaning, lack of information and striving for traffic are flooded with the network. In the social platform, the audience has created many language expressions rich in "meme", such as "meaningless words". As an important part of youth subculture, "meaningless words" mainly creates characters through collages, spoofs, parodies and other forms, and its expression is more direct and simple. It is an important way of satirizing and roast on the social media platform. Why do contemporary youth produce "meaningless words"? Why does "meaningless words" spread so widely? This paper will explore the production mechanism of "meaningless words" from the perspective of emotional communication.
Bridging the gap: Unveiling the crisis of physical inactivity in inflammatory bowel diseases
Authors: Stafie Remus , Singeap Ana-Maria , Rotaru Adrian , Stanciu Carol , Trifan Anca
Published: March 2024

In this editorial we comment on the article titled “Inflammatory bowel diseases patients suffer from significant low levels and barriers to physical activity: The BE-FIT-IBD study” published in a recent issue of the World Journal of Gastroenterology 2023; 29 (41): 5668-5682. Inflammatory bowel diseases (IBD) are emerging as a significant global health concern as their incidence continues to rise on a global scale, with detrimental impacts on quality of life. While many advances have been made regarding the management of the disease, physical inactivity in these patients represents an underexplored issue that may hold the key for further and better understanding the ramifications of IBD. Chronic pain, fatigue, and fear of exacerbating symptoms promotes physical inactivity among IBD patients, while the lack of clear guidelines on safe exercise regimens contributes to a norm of physical inactivity. Physical activity (PA) is accepted to have a positive effect on disease outcomes and quality of life, while inactivity exacerbates comorbidities like cardiovascular disease and mental health disorders. The “BE-FIT-IBD” study, focusing on PA levels and barriers in IBD patients of Southern Italy, revealed that a significant proportion (42.9%) were physically inactive. This lack of PA is attributed to barriers such as fear of flare-ups and misconceptions about exercise exacerbating the disease. The study also highlighted the need for better communication between healthcare providers and patients regarding the benefits of PA and safe incorporation into lifestyles. Moreover, physical inactivity may also contribute to disability in IBD patients, having a great impact on employment status. Of note is the fact that IBD also comes with an important psychological burden with relevant evidence suggesting that regular PA can improve mood, reduce anxiety, and enhance mental health. The “BE-FIT-IBD” study advocated for the integration of PA into IBD management, emphasizing the bidirectional link between PA and IBD. Regular exercise can influence the course of IBD, potentially reducing symptom severity and prolonging remission periods. As such, it is mandatory that healthcare providers actively educate patients, dispel misconceptions, and tailor exercise recommendations to improve the quality of life and reduce IBD-related complications.
Differential diagnosis of Crohn’s disease and intestinal tuberculosis based on ATR-FTIR spectroscopy combined with machine learning
Authors: Li Yuan-Peng , Lu Tian-Yu , Huang Fu-Rong , Zhang Wei-Min , Chen Zhen-Qiang , Guang Pei-Wen , Deng Liang-Yu , Yang Xin-Hao
Published: March 2024

BACKGROUND

Crohn’s disease (CD) is often misdiagnosed as intestinal tuberculosis (ITB). However, the treatment and prognosis of these two diseases are dramatically different. Therefore, it is important to develop a method to identify CD and ITB with high accuracy, specificity, and speed.

AIM

To develop a method to identify CD and ITB with high accuracy, specificity, and speed.

METHODS

A total of 72 paraffin wax-embedded tissue sections were pathologically and clinically diagnosed as CD or ITB. Paraffin wax-embedded tissue sections were attached to a metal coating and measured using attenuated total reflectance fourier transform infrared spectroscopy at mid-infrared wavelengths combined with XGBoost for differential diagnosis.

RESULTS

The results showed that the paraffin wax-embedded specimens of CD and ITB were significantly different in their spectral signals at 1074 cm-1 and 1234 cm-1 bands, and the differential diagnosis model based on spectral characteristics combined with machine learning showed accuracy, specificity, and sensitivity of 91.84%, 92.59%, and 90.90%, respectively, for the differential diagnosis of CD and ITB.

CONCLUSION

Information on the mid-infrared region can reveal the different histological components of CD and ITB at the molecular level, and spectral analysis combined with machine learning to establish a diagnostic model is expected to become a new method for the differential diagnosis of CD and ITB.
Establishment and validation of an adherence prediction system for lifestyle interventions in non-alcoholic fatty liver disease
Authors: Zeng Ming-Hui , Shi Qi-Yu , Xu Liang , Mi Yu-Qiang
Published: March 2024

BACKGROUND

Non-alcoholic fatty liver disease (NAFLD) is the most common liver disease worldwide, affecting about 1/4th of the global population and causing a huge global economic burden. To date, no drugs have been approved for the treatment of NAFLD, making the correction of unhealthy lifestyles the principle method of treatment. Identifying patients with poor adherence to lifestyle correction and attempting to improve their adherence are therefore very important.

AIM

To develop and validate a scale that can rapidly assess the adherence of patients with NAFLD to lifestyle interventions.

METHODS

The Exercise and Diet Adherence Scale (EDAS) was designed based on compilation using the Delphi method, and its reliability was subsequently evaluated. Demographic and laboratory indicators were measured, and patients completed the EDAS questionnaire at baseline and after 6 months. The efficacy of the EDAS was evaluated in the initial cohort. Subsequently, the efficacy of the EDAS was internally verified in a validation cohort.

RESULTS

The EDAS consisted of 33 items in six dimensions, with a total of 165 points. Total EDAS score correlated significantly with daily number of exercise and daily reduction in calorie intake (P < 0.05 each), but not with overall weight loss. A total score of 116 was excellent in predicting adherence to daily reduction in calorie intake (> 500 kacl/d), (sensitivity/specificity was 100.0%/75.8%), while patients score below 97 could nearly rule out the possibility of daily exercise (sensitivity/specificity was 89.5%/44.4%). Total EDAS scores ≥ 116, 97-115, and < 97 points were indicative of good, average, and poor adherence, respectively, to diet and exercise recommendations.

CONCLUSION

The EDAS can reliably assess the adherence of patients with NAFLD to lifestyle interventions and have clinical application in this population.
Are we ready to use new endoscopic scores for ulcerative colitis?
Authors: Quera Rodrigo , Núñez F Paulina
Published: March 2024

For ulcerative colitis (UC), the variability in inflammatory activity along the colon poses a challenge in management. The focus on achieving endoscopic healing in UC is evident, where the UC Endoscopic Index of Severity and Mayo Endoscopic Subscore are commonly used for evaluation. However, these indices primarily consider the most severely affected region. Liu et al recent study validates the Toronto Inflammatory Bowel Disease Global Endoscopic Reporting (TIGER) score offering a comprehensive assessment of inflammatory activity across diverse segments of the colon and rectum and a reliable index correlating strongly with UC Endoscopic Index of Severity and moderately with Mayo Endoscopic Subscore (MES). Despite recommendation, certain aspects warrant further investigation. Fecal calprotectin, an intermediate target, correlates with TIGER and should be explored. Determining TIGER scores defining endoscopic remission and response, evaluating agreement with histological activity, and assessing inter-endoscopist agreement for TIGER require scrutiny. Exploring the correlation between TIGER and intestinal ultrasound, akin to MES, adds value.
English Euphemisms and Dysphemisms Relating to Female Physiology (Pregnancy and Childbirth)
Authors:   Birsk Branch, Ufa University of Science and Technology, Gorshunov Yuriy V.
Published: March 2024

This article aimed to study some common English euphemisms and dysphemisms on female physiology as exemplified by conception, pregnancy and childbirth, to describe the ways of creating such words and expressions, as well as to provide a sociocultural commentary on the euphemistic markers in contemporary English. The research is relevant due to the fact that euphemisms relating to female physiology have been studied rather superficially. Analysis from the viewpoint of rhyming slang represents a new and promising area in the field of euphemisms. The research methods are determined by the purpose and objectives of the study. The key method is descriptive, implemented using systematization, generalization and interpretation of language material. The linguistic methods include contextual analysis and semantic interpretation. The topic of women’s physiology is represented by expressions characterizing conception, contraception, pregnancy and childbirth that were selected from authoritative dictionaries of euphemisms and general and rhyming slang, as well as English-language fiction. The euphemisms were classified thematically (pregnancy as a special condition, pregnancy as an expectancy period, pregnancy with an emphasis on conception, pregnancy as an increase in the size of the belly, pregnancy as a source of trouble, and pregnancy as an accident). Techniques and means for creating euphemisms under study are presented. Rhyming slang, whose major function is euphemistic, is highlighted as a new promising sector of the functioning of euphemisms and dysphemisms referring to female physiology. The main points and conclusions of the article can be used when presenting the problems of euphemisms and dysphemisms in lectures and seminars on the theory of language, lexicology, stylistics, text interpretation, and intercultural communication.
Murray Bookchin’s Ecotopia: A Utopia or a Real Alternative?
Authors:   Tula Branch, Plekhanov Russian University of Economics, Shumakov Andrey A.
Published: March 2024

Using the works of the famous American philosopher, sociologist, environmentalist, speaker and publicist Professor Murray Bookchin (1921–2006), this article examines his project of social structure. In the first part of the study, the author dwells on the relevance of this issue at the present stage of the global socio-political and economic development. In particular, it is noted that idealized utopian ideas were inherent in human society literally at all stages of historical development, being especially pronounced during the periods of social shifts and upheavals. This thesis is confirmed by a number of written and other sources. The current situation is no exception. The economic crises of 2008 and 2020, the global energy crisis of 2021–2023 and a series of food crises of 2022–2023 as well as the growing geopolitical tension have called for finding ways of alternative development. This makes Bookchin’s social ecology especially relevant in view of its detailed elaboration. The second part of the article is devoted to the analysis of the conceptual and methodological basis of Bookchin’s theory, whose main feature is the variability of historical development. Using the anarchist approach and the dialectical method (dialectical naturalism in his terms), Bookchin identifies libertarian and authoritarian tendencies, which have been manifested throughout the written history of humankind, since the appearance of social stratification, cities and the state, and which have eventually led humanity to a deadlock. In the third part, the author examines the transition to a new ecological social structure described by Bookchin, who believed that the scientific and technological progress of the 20th century had made it possible. Real prospects of this project’s implementation in current conditions are discussed. Answering the main question of the study, the author notes that the social structure project, despite all the elaboration and appeal to rationalism, can, with good reason, be considered a classic utopia. In addition, the article points out obvious contradictions in Bookchin’s theory.
Interference as a Driving Force for Intralingual Processes in Lingua Franca Formation
Authors:   Southern Federal University, Morgunova Marina N.
Published: March 2024

The monograph by E.E. Sarkisov and S.G. Nikolaev investigates the phenomenon of cross-language interference found in languages in contact, which actively influences the structure and content of the new, hybrid entity traditionally called lingua franca. The object of research in this monograph is the discourse field within which English-Spanish bilinguals communicate both with each other and with other bilinguals and monolinguals using Spanglish through the spoken and written word.
The Russian Idea for the 21st Century: Unity, Theurgy, Theocracy
Authors:   Humanities and Teacher Training Academy (Branch) in Yalta, V.I. Vernadsky Crimean Federal University, Shevchenko Oleg K.
Published: March 2024

The timely monograph by S.O. Perekhod explores the ultimate (metaphysical, sacred, mythopoetic) grounds of the “Russian world”. The article analyses the author’s philosophical, religious and cultural techniques that help to understand the fate of the Russian idea in the near future. A conclusion is made about the extreme relevance of this monograph today. The book will be of interest to both specialists and those caring about the fate of Russia and the “Russian world”.
THE USE OF NEW PEDAGOGICAL TECHNOLOGIES IN TEACHING THE TOPIC OF AMINES IN HIGHER EDUCATIONAL INSTITUTIONS
Authors:   2nd year master's student of the department Organic and non-organic chemistry, Karakalpak State University, Uzbekistan, Suleymanovna Atajanova Zubayda , Bazarbay Tanirbergenov ,   Scientific adviser, Professor of Karakalpak State University, Uzbekistan, Zaripa Tanirbergenova ,   Chemistry teacher of the art school named after Ibrahim Yusupov, Uzbekistan
Published: March 2024

This article explores the use of new pedagogical technologies in higher education to teach the topic of amines. It examines the benefits of incorporating these technologies and provides practical guidance for educators looking to integrate them into their curriculum. Additionally, the article discusses the potential of technology to revolutionize chemistry education. In embracing innovative teaching methods, educators can empower students to develop a profound understanding of amines and prepare them for success in their academic and professional pursuits.
FORECASTING OF CATTLE MEAT PRODUCTION IN FARMS OF SAMARKAND REGION
Authors:   Doctoral Student At Samarkand Agricultural Innovation And Research Institute, Uzbekistan, Qalandarov R.X.
Published: March 2024

Ensuring food security of the population is considered important. The population is focused on the development of strategies for ensuring food security in the future by analyzing forecast indicators. As we know, most of the agricultural products are contributed by farmers. In this article, the indicators of beef production in farmers' farms of Samarkand region are forecasted using the ARIMA model.
Exploring the multiverse of analysis options for the alcohol Stroop
Authors: Jones Andrew , Petrovskaya Elena , Stafford Tom
Published: March 2024

The alcohol Stroop is a widely used task in addiction science to measure the theoretical concept of attentional bias (a selective attention to alcohol-related cues in the environment), which is thought to be associated with clinical outcomes (craving and consumption). However, recent research suggests findings from this task can be equivocal. This may be because the task has many different potential analysis pipelines, which increase researcher degrees of freedom when analysing data and reporting results. These analysis pipelines largely come from how outlying reaction times on the task are identified and handled (e.g. individual reaction times > 3 standard deviations from the mean are removed from the distribution; removal of all participant data if > 25% errors are made). We used specification curve analysis across two alcohol Stroop datasets using alcohol-related stimuli (one published and one novel) to examine the robustness of the alcohol Stroop effect to different analytical decisions. We used a prior review of this research area to identify 27 unique analysis pipelines. Across both data sets, the pattern of results was similar. The alcohol Stroop effect was present and largely robust to different analysis pipelines. Increased variability in the Stroop effect was observed when implementing outlier cut-offs for individual reaction times, rather than the removal of participants. Stricter outlier thresholds tended to reduce the size of the Stroop interference effect. These specification curve analyses are the first to examine the robustness of the alcohol Stroop to different analysis strategies, and we encourage researchers to adopt such analytical methods to increase confidence in their inferences across cognitive and addiction science.
OVERCOMING PSYCHOLOGICAL BARRIERS TO WRITE: A COGNITIVE COACHING APPROACH TO PLANNING WRITING
Authors: LAMYAE LAZAAR , BRIGUI HIND
Published: March 2024

The current research examines a common issue faced by high school students in Morocco, specifically in the area of sentence construction. The study uses action research embracing a cognitive coaching approach to identify and address the problem. The researcher hypothesizes that students' writing difficulties extend beyond the sentence level to the paragraph level. To address this issue, the researcher implements several activities which aim to raise students' awareness of sentence structure and help them construct meaningful and grammatically correct sentences. The results indicate that the activities were successful in improving students' writing skills, particularly in sentence construction. Moreover, the cognitive coaching approach which is applied to overcome the psychological barriers that hinder writing skills has yielded to positive results. Overall, the research suggests that these activities along with the approach used can be effective in improving students' writing skills and should be incorporated into language instruction.
Kripto Para ve Merkeziyetsiz Finans (DeFi)
Authors: Yıldız Hümeyra , Gençtürk Mehmet
Published: March 2024

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A myo-inositol dehydrogenase involved in aminocyclitol biosynthesis of hygromycin A
Authors: Akintubosun Michael O , Higgins Melanie A
Published: March 2024

Hygromycin A is a broad-spectrum antibiotic that contains a furanose, cinnamic acid, and aminocyclitol moieties. The biosynthesis of the aminocyclitol has been proposed to proceed through six enzymatic steps from glucose 6-phosphate through myo-inositol to the final methylenedioxy-containing aminocyclitol. Although there is some in vivo evidence for this proposed pathway, biochemical support for the individual enzyme activities is lacking. In this study, we verify the activity for one enzyme in this pathway. We show that Hyg17 is a myo-inositol dehydrogenase that has a unique substrate scope when compared to other myo-inositol dehydrogenases. Furthermore, we analyze sequences from the protein family containing Hyg17 and discuss genome mining strategies that target this protein family to identify biosynthetic clusters for natural product discovery.
Penerapan Data Mining Untuk Mengetahui Minat Siswa Pada Pelajaran IPA Mengunakan Metode K-Means Clustering
Authors: Mardiansa Mardiansa , Sari Herlina Latipa , Prahasti Prahasti
Published: March 2024

The purpose of this research is to build a data mining application to find out students' interest in science subjects at SMPN 18 Bengkulu City. With data collection techniques by way of observation and interviews, this study used a sample of data on grades IX.8 science subjects with a total of 30 students at SMPN 18 Bengkulu City. The research method used is the K-Means Clustering method because this method separates data into groups that have objects with similar characteristics. In building this application using Xampp server, PHP programming language and MySQL database. This datamining application is used to make it easier for a teacher or admin in this application to manage student data to determine student interest in science subjects. The results of this study were 3 groups of students' interest in science subjects, namely 12 students with high interest, 17 students with moderate interest and 1 student with low interest in SMPN 18 Bengkulu City.
DNA Profiling, Bioinformatics and Databases in Forensics: Human Identification Purposes
Authors: Meilana Andi Nur Sakina Tri , Auerkari Elza Ibrahim
Published: March 2024

Individual identification is an essential element in establishing truth the forensic investigation process, be it in criminal, medico-legal, or mass disasters case. When ante-mortem data are not available, the only thing that can be used is identification trough DNA. Alec Jeffrey, a geneticist (1984), found that certain regions of DNA contain repetitive sequences and the number of repetitions in individuals differs from one another. This identification method known as DNA profiling. DNA profiling is described as an important and significant discovery in forensics and has been considered as the standard in modern human identification. Until now, the recommended DNA profiling method must be based on the PCR to analyze degraded DNA and  short-sized DNA (Short Tandem Repeats) through PCR amplification. In profiling, the result DNA amplification are analyzed through genetic markers (DNA Markers) and then matched into the database or compared with the collected reference samples. In the human genome, the genetic markers most frequently used in forensics are autosomal STR, Y-STR, mtDNA, X-STR, SNPs, and Amelogenin. Accomplishment of proving the suitability of DNA profiles, an application of bioinformatics in forensics is carried out. Bioinformatics is a combination of molecular biology and computer informatics that aims to manage and analyze data and store biological (genetic) information. DNA database is an application of bioinformatics in the form of special software which has become an important tool for biologists and forensics. This genetic database will predict the similarities between one DNA profile and another.
Morphological and Morphometric Analysis of Orocraniofacial Bones for Estimative Identification Gender
Authors: Sari Wulan Purnama , Soedarsono Nurtami , Puspitawati Ria
Published: March 2024

Identification of sex estimation is the first step in the identification process and is one of the priority parameters in the forensic identification process. Identification is made when the condition of the body is unrecognizable due to natural disasters, transport accidents, bomb explosions, ethnic studies and crime investigations, where only a few parts of the body are already incomplete and limited information are available. In forensic odontology, morphological and morphometric analysis of the orocraniofacial bone is an important component that can help in the process of identifying sex estimation because it has different shapes and sizes in each individual and population. This article will discuss morphological and morphometric analysis of several parameters of the orocraniofacial bone, as well as the advantages and limitations of both methods.
Digital Marketing Data Classification by Using Machine Learning Algorithms
Authors: Saud Abd Noor , Salim Atiyah Oqbah , Taher Ahmed Mohammed , Bakhit Ali
Published: March 2024

Early in the 20th century, as a result of technological advancements, the importance of digital marketing significantly increased as the necessity for digital customer experience, promotion, and distribution emerged. Since the year 1988, in the case when the term "Digital Marketing" first appeared, the business sector has undergone drastic growth, moving from small startups to massive corporations on a global scale. The marketer must navigate a chaotic environment caused by the vast volume of generated data. Decision-makers must contend with the fact that user data is dynamic and changes every day. Smart applications must be used within enterprises to better evaluate, classify, enhance, and target audiences. Customers who are tech-savvy are pushing businesses to make bigger financial investments and use cutting-edge technologies. It was only natural that marketing and trade could be one of the areas to move to such development, which helps to move to the speed of spread, advertisements, along with other things to facilitate things for reaching and winning customers. In this study, we utilized machine learning (ML) algorithms (Decision tree (DT), K-Nearest Neighbor (KNN), CatBoost, and Random Forest (RF) (for classifying data in customers to move to development. Improve the ability to forecast customer behavior so one can gain more business from them more quickly and easily. With the use of the aforementioned dataset, the suggested system was put to the test. The results show that the system can accurately predict if a customer will buy something or not; the random forest (RF) had an accuracy of 0.97, DT had an accuracy of 0. 95, KNN had an accuracy of 0. 91, while the CatBoost algorithm had the execution time 15.04 of seconds, and gave the best result of highest f1_score and accuracy (0.91, 0. 98) respectively. Finally, the study's future goals involve being created a web page, thereby helping many banking institutions with speed and forecast accuracy. Using more techniques of feature selection in conjunction with the marketing dataset to improve diagnosis.
Gross Alpha and Gross Beta Activity Concentrations in Living Stone Potato in the Mining and Non-Mining Areas of Barkin-Ladi, Plateau State
Authors: E.A. Trisma, , E. C. Hemba, , T Sabo, , N Gangtak, , M Dadah,
Published: March 2024

The gross alpha and gross beta activity concentration in Living-stone Potato (Plectranthus esculentus), obtained in selected mining and non-mining areas of Barkin-Ladi, Plateau state have been determined. Sample tubers of Living-stone Potato were collected from mining and non-mining areas using a random sampling approach. The samples were taken directly from the farm and examined at Ahmadu Bello University's Centre for Energy Research and Training (CERT) in Zaria using a gas-filled proportional counter (MPC 2000 dual phosphor detector) with alpha and beta background of 0.5 cpm and 0.73 cpm, respectively. The results show that alpha activity in sample areas ranged from 0.005306 ± 0.00793 Bq/g to 0.03535 ± 0.00142 Bq/g with an average value of 0.03255 ± 0.00701 Bq/g. The gross alpha activity concentration was determined to be higher in the mining locations. The beta activity concentration ranges from 0.00349 ±0.0198 to 0.01397 ± 0.0198 Bq/g, with an average value of 0.03622 ± 0.00196 Bq/g. The greatest value of 0.01397 ± 0.0198 Bq/g was reported in the mining area. The lowest value was recorded below the detection limit of the machine utilized. Interestingly, all of the activities examined (alpha and beta) were found to be below the World Health Organization (WHO) recommended consumption values of 0.1 Bq/g and 1.0 Bq/g for alpha and beta, respectively. The rise in alpha and beta activity that has been observed in mining areas may be associated with the quality of irrigation water, local human activities like mining around farms, and fertilizer use in farming. The public consuming these products, however, may not be adversely affected by the outcomes in a significant way.