Areas Of Science Research Articles

Kajian Strategi Promosi Digital Area Peternakan Kawasan Glugur Rimbun Kecamatan Kutalimbaru

The purpose of this study was to determine the public's interest in visiting the Livestock Area of the Glugur Rimbun Area, Sampe Cita Village, Kutalimbaru District, Deli Serdang Regency, through the independent variables of promotion and attractiveness. This Animal Husbandry Area is one of several areas in the Al Amin Science and Industrial Park (Living Lab) Glugur Rimbun Area with a special land area for the Animal Husbandry Area of about two ha from the total area of about 24 (twenty four) ha. The research approach uses quantitative methods involving 100 respondents and data collection using questionnaires. The data obtained was analyzed using multiple regression analysis using SPSS. The results showed that the independent variable promotion showed a t-count value of -0.945 < t-table 1.984 with a significant value of 0.000 < 0.05, which means that digital-based promotion has a positive and significant effect partially on visiting interest. The test results for the attraction variable show a tcount value of 12.315> t-table 1.984 with a significant value of 0.000 <0.05, which means that attraction has a positive and significant effect partially on visiting interest. The F-count value of 75.864> F-table of 3.09 and a significant 0.000 <0.05, then digital-based promotion and attractiveness have a positive and significant effect simultaneously on tourist interest in visiting.

Cooperative Intelligence Platform for Primary Health Care (Picaps): techno-scientific solutions in digital health to confront COVID-19 and other crises

The arrival of COVID-19 in Brazil had a marked impact on the health network as well as on the professionals involved, due to the significant number of cases and constantly updated information. In this context, the Cooperative Intelligence Platform for Primary Health Care - Picaps - is set up as a technological platform that assists by systematizing the communication and negotiation processes among actors, with a focus on science and technology. This article sets out to describe the processes of Picaps, which consist of a collaborative system conceived of as a public solution capable of generating innovations in the areas of Science, Technology and Health, in order to tackle COVID-19 in territories with populations in socially vulnerable situations in the Federal District (DF). It integrates data collection and processing, as well as the dissemination of information for its use, both at the governmental and societal levels. Picaps can be seen as a powerful government instrument to help societies across the country, especially those in vulnerable situations, capable of assisting in the use of cooperative intelligence in primary care and health surveillance actions to build innovative solutions such as rapid responses to face health crises in modern times.

Biochemical, immunological markers, histology and ultrastructural changes of open wound healing in rats treated with ethyl acetate extract of Zingiber zerumbet rhizomes

Research on plant-based wound healing agents has been one of the current developing areas in modern biomedical science. This study aimed to assess the effects of ethyl acetate extract of Zingiber zerumbet rhizome (ZZRE) on open wound healing activity in Wistar rats. Ninety male Wistar rats (220–320 g) were divided into three groups treated with phosphate buffered saline (PBS) (negative control), Solcoseryl gel (positive control), and 10 % ZZRE (treatment group), respectively. Six circular full-skin thickness wounds of 6.0 mm in diameter were induced bilaterally on the dorsal surface of each rat. Six rats were sacrificed on Day-1, Day-3, Day-6, Day-10 and Day-14 respectively from each group after wound induction. All data obtained are considered statistically significant at p < 0.05. Macroscopic observations showed that the 10 % ZZRE treated wounds healed faster compared to other groups. The wound closure percentage showed that the wound treated with 10 % ZZRE is significantly higher (p < 0.05) than the PBS group on Day-6, Day-10 and Day-14. Protein levels of the 10 % ZZRE group decreased significantly at Day-1 compared to the PBS group and significantly (p < 0.05) higher at Day-14 compared to both control groups. The hexosamine and uronic acid levels of the 10 % ZZRE group showed a significant (p < 0.05) decrease on Day-14. Conversely, hydroxyproline levels showed significant (p < 0.05) increase starting from Day-3 until Day-14. As for the immunological markers, the level of total TGF-β1 of the 10 % ZZRE group was significantly (p < 0.05) higher than the PBS group on Day-14, whereas the level of IL-10 on the wound tissue of the 10 % ZZRE group was significantly (p < 0.05) lower than the PBS group on Day-1 but significantly (p < 0.05) higher on Day-10 and Day-14 compared to both control groups. Histological observation showed that the wounds treated with 10 % ZZRE infiltrated with lesser inflammatory cells while collagen deposition was denser as compared to both control groups. Based on the result obtained, it is clearly proven that treatment of 10 % ZZRE on open wound healing in rats, showed that the extract was effective in healing the wound and accelerated the healing process. Therefore, the 10 % ZZRE tested has the potential to be developed as an alternative wound healing agent in the future.

Forms and Functions of Author Keywords in Theses and Dissertations at the UNESP Institutional Repository (Brazil)

This research aimed to prepare guidelines for authors by investigating forms and functions of keywords assigned by authors in theses and dissertations defended in 2023 in the Graduate Program in Information Science at Unesp. The exploratory and descriptive study utilized a sample collected in the Unesp Institutional Repository. A corpus of 31 theses and 14 dissertations submitted to the Unesp Institutional Repository comprised a total of 183 keywords in Portuguese without duplicates and an average of 4.7 keywords, considering 213 keywords with duplicates. The analysis results initially identified that the Repository has a tutorial on using the Unesp Thesaurus to control vocabulary and that the authors use natural language to assign keywords. The findings reveal that, out of the 183 keywords, 89 (48\%) are exclusive, singular and specific to the area of Information Science, candidates for descriptors in the Unesp Thesaurus. The other 94 keywords (51.3\%) have 40 (21.3\%) exact descriptors, and the other 54 (29.5\%) present forms and functions that serve as examples for inclusion in the tutorial instructions. Based on the results obtained, it is concluded that the percentage of 21\% overlap between keywords and descriptors reveals that the Unesp Thesaurus was consulted by the authors when filling out keyword metadata and that the low number of exact descriptors and exclusive keywords indicate that they need to be included as new terms. It is recommended, therefore, to define an Indexing Policy that considers the need for hybrid coexistence between natural language and vocabulary control.

Stress Drives Soccer Athletes'Wellness and Movement: Using Convergent Cross-Mapping to Identify Causal Relationships in a Dynamic Environment.

Prediction of athlete wellness is difficult-or, many sports-medicine practitioners and scientists would argue, impossible. Instead, one settles for correlational relationships of variables gathered at fixed moments in time. The issue may be an inherent mismatch between usual methods of data collection and analysis and the complex nature of the variables governing athlete wellness. Variables such as external load, stress, muscle soreness, and sleep quality may affect each other and wellness in a dynamic, nonlinear, way over time. In such an environment, traditional data-collection methods and statistics will fail to capture causal effects. If we are to move this area of sport science forward, a different approach is required. We analyzed data from 2 different soccer teams that showed no significance between player load and wellness or among individual measures of wellness. Our analysis used methods of attractor reconstruction to examine possible causal relationships between GPS/accelerometer-measured external training load and wellness variables. Our analysis showed that player self-rated stress, a component of wellness, seems a fundamental driving variable. The influence of stress is so great that stress can predict other components of athlete wellness, and, in turn, self-rated stress can be predicted by observing a player's load data. We demonstrate the ability of nonlinear methods to identify interactions between and among variables to predict future athlete stress. These relationships are indicative of the causal relationships playing out in athlete wellness over the course of a soccer season.

Impact of JETA As Measured by an AI Generated Taxonomy: Reaching Beyond Accounting

ABSTRACT We analyze the impact of publications in Journal of Emerging Technologies in Accounting (JETA) at its 20-year anniversary. Using OpenAlex, an aggregated bibliometric database and its concept taxonomy generated by artificial intelligence (AI), as well as its topic classification system supported by large language models (LLMs), we demonstrate that the impact of JETA is reaching beyond accounting to areas in computer science, engineering, social science, and even medicine among many others. The analyses are based on articles in the journals (other than JETA) that have cited JETA publications and the concepts and topics in the articles.

Exploring the use of Smart Mobile Devices and their applications for infocommunication and PKM in the personal lives of teachers

This article is part of a PhD research and investigates the impact of rapid technological evolution, focusing on the adoption of smart mobile devices (SMD), such as smartphones, tablets and laptops, and applications (app) in the personal lives of higher education professors in the area of Information Science. In addition, gaps are identified in existing research, emphasizing the need to understand how SMD is used in personal activities for personal knowledge management (PKM) practices and infocommunication. Specific objectives include identifying the most commonly used SMDs and apps, the frequency of such use, and how they are used for those practices. The methodology is qualitative, triangulating the integrative review with a questionnaire (N-10). The results point to interest in device ecologies for PKM and Info-communication, with communication apps (text and voice) and e-mail being the most important for teachers. It is hoped that the results of this study can contribute to the advancement of knowledge about the use of SMD by teachers and to the development of a generic descriptive model of infocommunicational behaviour and PKM that can be applied in other contexts.

Advancements in CuO nanoparticle technology: synthesis, characterization of copper oxide nanoflowers

Abstract Nanostructured materials, including metal and metal oxide nanoparticles, play a crucial role in advancing diverse scientific and technological areas. Transition metal oxides such as CuO are integral to developments in fields like antibacterial treatments, solar energy conversion, sensing technologies, catalysis, magnetic storage, supercapacitors, and semiconductor devices. This research is centered on the hydrothermal synthesis of pure copper oxide nanoflowers, which are noted for their extensive surface areas. Zeta potential analysis, ultraviolet-visible spectrophotometry, field-emission scanning electron microscopy, and Fourier-transform infrared spectroscopy were some of the methods utilized to characterize these nanoparticles. The results showed that band gap energies, crystallite size, and lattice characteristics are all greatly affected by CuO. XRD results indicated a covellite monoclinic polycrystalline structure predominantly orientation with average crystallite sizes around 15.84 nm. FE-SEM imagery depicted the hierarchical, cauliflower-like structure of the CuO nanoparticles. Optical assessments revealed band gap values ranging from 2.58 eV. The findings underscore the broad potential of CuO nanoflowers across various technological applications.

Absorption and emission maxima prediction of fluorescent organic materials using optimized neural network models

Abstract The aim of the study is to predict the absorption and emission maxima from the given dataset, which consists of 3066 fluorescent organic materials. To fulfill this requirement, five optimized neural network models are employed. Out of them, the wide neural network (WNN) model outperformed the other models on validation as well as test results. The results were obtained on the basis of three evaluation parameters: mean absolute error (MAE), root mean squared error (RMSE), and the coefficient of determination (R2). According to the validation scores, the WNN was the best-predictive model with MAE-18.05 nm, RMSE-28.93 nm, and R2-89.55%, and MAE-29.58 nm, RMSE-42.62 nm, and R2-78.87% for absorption and emission maxima, respectively. On the other hand, on the basis of tested scores, the WNN was the best-predictive model with MAE-19.35 nm, RMSE-29.33 nm, and R2-92.14%, and MAE-29.17 nm, RMSE-41.87 nm, and R2-79.46% for absorption and emission maxima, respectively. The presented automated method does not require an extensive understanding of computer programming to estimate the absorption and emission maxima. The absorption and emission maxima may be predicted, which helps with the design of new fluorescent organic materials and their many uses in electronics, chemistry, materials science, medicine, and other areas.

Embeddings for Efficient Literature Screening: A Primer for Life Science Investigators

As the number of publications is quickly growing in any area of science, the need to efficiently find relevant information amidst a large number of similarly themed articles becomes very important. Semantic searching through text documents has the potential to overcome the limits of keyword-based searches, especially since the introduction of attention-based transformers, which can capture contextual nuances of meaning in single words, sentences, or whole documents. The deployment of these computational tools has been made simpler and accessible to investigators in every field of research thanks to a growing number of dedicated libraries, but knowledge of how meaning representation strategies work is crucial to making the most out of these instruments. The present work aims at introducing the technical evolution of the meaning representation systems, from vectors to embeddings and transformers tailored to life science investigators with no previous knowledge of natural language processing.

Existence Results for A Nonlinear Degenerate Parabolic Equation involving -Laplacian Type Diffusion Process

In this study, a nonlinear degenerate parabolic equation is used to describe a nonlinear -Laplacian equation process that arises in many areas of science and engineering in mechanics, quantum physics, and chemical design. This work has the objective of proving the existence of the local weak solution of a nonlinear p(x)-Laplacian equation by the compactness theorem. The uniformly local characteristics of the solutions for the gradients by estimating the regularization problem and using the Moser iterative techniques. Moreover, some properties of the local solutions depend on uniformly bounded situations and the -norm to the gradient is considered.

Deploying an IoT-based remote physics lab platform to enhance experimental physics education in remote regions

Abstract For several years, the educational gap in certain Latin American countries and around the world has become increasingly evident. The limited access to cutting-edge knowledge and technologies to strengthen student training processes has emerged as a significant problem, leading to increased inequality in job opportunities in these regions and progressive setbacks in social and economic development. One way to mitigate this problem has been to provide access to information through telecommunications. However, integration with educational processes has been deficient, especially in the areas of science, technology, engineering, and mathematics. This work proposes the development of a remote physics laboratory platform for experimental validation of models explaining certain physical phenomena. This platform is based on the Internet of Things (IoT) paradigm, allowing students and teachers to connect with these experiences coveringtopics in mechanics, electricity and magnetism, optics, and thermodynamics from remote regions. These laboratories utilize physical setups in educational institutions that have been modified to provide connectivity and remote control capabilities based on IoT. Finally, a framework for implementing new remote laboratories based on the IoT paradigm through an open-source platform is presented. The system has been tested and validated with high school and early university students to verify its usefulness, showing the potential to enhance educational processes by providing laboratory access to students and teachers from primary education to secondary education and university-level professional programs.

Supervised, Unsupervised Learning Methods in Data Mining: A Comprehensive Survey

Abstract: Data mining is the area of computational science consider as the subset of Artificial Intelligence, Machine Learning that concentrate on cognizing patterns and structures in data to promote learning, analyzing, and decision making beyond human interaction. In simplest term, data mining allows the user to feed data mining algorithms on an immense amount of data and then make the computer to make data-driven recommendations and decisions based on the input or training data. Data is the essential component of all business. Data mining with supervised and unsupervised methods is the key to unlock the value of business data and keep ahead of the competition. This paper presents a comprehensive survey on Data mining process, supervised, unsupervised methods, through a survey of literature considering the significant research areas using classification, clustering, and association rule mining.

Synthesis, structure, and biological activity of sodium, zinc, and magnesium mono- and bis-1-alkoxy-4-(2′-naphthyl)-1,4-dioxo-2-buten-2-olates

The search for new biologically active compounds is a key area of chemical science. Therefore, the synthesis of compounds with a potentially bactericidal effect seems relevant. In order to extend the range of biologically active substances, the synthesis of sodium 4-(2’-naphthyl)-1,4-dioxo-1-ethoxy-2-buten-2-olate and sodium 1-butoxy-4-(2´-naphthyl)-1,4-dioxo-2-buten-2-olate was carried out by Claisen condensation of equimolar amounts of 2-acetonaphtone and dialkyloxalates in a non-polar medium in the presence of sodium as a condensing agent. Bidentate mononuclear metal chelates were obtained by the metal exchange reaction of sodium oxoenolates with Zn(II) and Mg(II) salts. The structure of the synthesized compounds was confirmed by infrared spectroscopy, (1Н, 13С) nuclear magnetic resonance spectroscopy, and mass spectrometry. The infrared spectra of solid samples of sodium oxoenolates and metal complexes contain bands of stretching vibrations of ester carbonyl groups, skeletal vibrations of aromatic rings, as well as “ether” bands due to vibrations of C–O–C bonds. The 1Н and 13С nuclear magnetic resonance spectra recorded in CDCl3 and Dimethyl sulfoxide-d6 are characterized by a complete set of all expected signals with chemical shift values that are well comparable with the reference data. In the mass spectra of the analyzed compounds, recorded in an acetonitrile solution in the electrospray mode, signals of [M+H]+ and [M+Na]+ protonated and cationized molecules are observed. The bactericidal action of the synthesized preparations was assessed using the agar well diffusion method in combination with the serial dilution method. The biological activity of sodium 4-(2’-naphthyl)-1,4-dioxo-1-ethoxy-2-buten-2-olate against Pseudomonas Aeruginosa and Staphylococcus Aureus, as well as sodium 1-butoxy-4-(2’-naphthyl)-1,4-dioxo-2-buten-2-olate against Pseudomonas Aeruginosa, was revealed. Pronounced resistance of Salmonella spp. to the studied compounds was established.

Data Perception and Information Disorder in the Italian Context During the Pandemic

This paper aims to learn how Italian audiences received and perceived data-driven television news during the Covid-19 pandemic. During this time, the logic and practices of creating and consuming television journalism were disrupted by the pandemic emergency. The paper presents the results of research carried out as part of a wider project titled “The Social Effects of Fake News” which was conducted from 2018 to 2022 within the CoRiS department of Sapienza University of Rome. The research project was reshaped in 2020, to understand the effects of what has been called “information disorder” in the areas of health, medicine, and science at a time when, together with the pandemic, an “infodemic” also emerged.1 We use Wardle and Derakhshan’s notion of “information disorder” as presented in their Council of Europe report.2 The results of the survey research we conducted show a surprising paradox. We found an interesting pattern of receiving and using information content based on data, in which users trust those who produce and validate certain data and at the same time do not believe that same data. This pattern of use indicates a particular approach to dealing with news among the Italian public. We have labelled it “know-it-all.” This article aims to deepen the understanding of this paradox of trust in experts but not in the data they deliver and how journalistic practice should deal with this conundrum.

MEASURING GLOBALIZATION: ANALYZING INTERNATIONALIZATION OF HIGHER EDUCATION (IOHE) THROUGH STEM EDUCATION IN PAKISTAN

The concepts of 'internationalization' and 'globalization' are closely intertwined, impacting both tangible and intangible aspects of higher education. Internationalization refers to the internal transformations that occur within an educational setting as a result of frequent cross-border interactions within a local governmental system. Currently, developing countries like Pakistan are adapting and shaping their higher education systems in response to the global knowledge economy but neglecting the introduction of STEM education in the areas of social sciences like mathematics, statistics, entrepreneurship, IT, and other courses that are considered the need of time may leads to lack social scientist’s ability to estimate &amp; forecasting and critically evaluate the situations as these deficiencies lead to reduce the cognitive skill of the workforce. This qualitative study employed Wallenstein’s World System analysis framework to examine student mobility and educational policy aspects in Pakistan critically. The findings suggest that the internationalization of higher education may lead to unequal exchange of educational services between core and peripheral countries in the global system.

Hybrid finite element and laplace transform method for efficient numerical solutions of fractional PDEs on graphics processing units

Fractional Partial Differential equations (FPDEs) are essential for modeling complex systems across various scientific and engineering areas. However, efficiently solving FPDEs presents significant computational challenges due to their inherent memory effects, often leading to increased execution times for numerical solutions. This study proposes a highly parallelizable hybrid computational approach that combines the Finite Element Method (FEM) for spatial discretization with Numerical Inversion of the Laplace Transform (NILT) for time-domain solutions, optimized for execution on Graphics Processing Units (GPUs). The NILT method’s high parallelizability, stemming from the independence of its series terms, combined with the robust spatial discretization provided by FEM, enables the efficient and accurate solution of FPDEs on GPUs, demonstrating substantial performance improvements over traditional CPU-based implementations. We observe a generalized pattern in execution time behavior that accounts for both the number of nodes and the number of NILT terms. Specifically, execution time scales quadratically with the number of nodes, while showing only a logarithmic marginal increase with the number of NILT terms These behaviors not only enables consistent performance assessment but also highlights potential areas for algorithm optimization. Validation against exact solutions of fractional diffusion and wave equations, employing Caputo, modified Caputo-Fabrizio, and modified Atangana-Baleanu derivatives, demonstrates the accuracy and convergence of the hybrid FEM-NILT method. Notably, the exact solutions of wave equation are novel in literature. The results highlight the method’s potential for enabling high-precision, large-scale simulations in fractional calculus applications, thereby advancing computational capabilities and efficiency in the field.

Цифровой образовательный контент для современного урока: технология экспертизы качества

Widely and universally used e-learning systems (ELS) remain the subject of close attention of researchers. An integral and most important part of the ELS is digital educational content. This is a key element for both distance and full-time education, and in recent years it has been widely used not only in higher education, but also in general education. Assessing the quality of educational content for the expert community is a delicate issue, the complexity of which is due to the examinator subjectivity. Modern automation tools, developed within the framework of the artificial intelligence paradigm, which have already demonstrated the ability to solve various problems, allow us to approach this issue from a new position. The purpose of the article is to present the results of a preliminary study of approaches to increasing the accuracy and objectivity of the examination of the quality of digital educational content through partial automation of expert procedures. The leading research methods are analysis, examination, modeling, ascertaining experiment, description. As a result, a theoretical justification for automating the examination of the quality of digital educational content as a new interdisciplinary scientific research area is presented, tasks are set, goals and methods are defined, and the first results obtained within this area are presented. It is shown that the development goal will be the formation of an expanded description of the process of examination of the quality of digital educational content, including proposals for expert procedures implemented only by automation means, description of the examination information model and interpretation of the results of automatic examination. The novelty of the results obtained lies in the formation of the theoretical foundations for automatic analysis of the digital educational content quality. This will form a fundamentally new quality of assessment procedures in relation to electronic means of teaching and education, based on objective and measurable qualitative characteristics and indicators, formalized stages (processes) of examination, and quantitatively qualified assessment results.

Правовой инфантилизм как явление современной правовой реальности

Introduction. Legal infantilism being one of the varieties of legal conscience deformation is characterised by insufficient legal knowledge and the lack of well-defined legal attitudes. It has been widely spread throughout the world in the XXI century and can be defined as a social pandemic. Despite the fact that legal infantilism, along with legal nihilism and legal idealism is more frequently described in Russian scientific and educational publications and has become a matter of concern in court proceedings, so far this socio-legal phenomenon has not received proper attention in legal science. Methods. The methodology of the research of legal infantilism as a phenomenon of modern legal reality is based on dialectics. The main methods of the research were the principle of comprehensive study of legal processes and phenomena, the principles of unity of theory and practice, consciousness and activity, the principle of determinism. The research was carried out on the basis of system and value approaches. Methods of integrity and retrospective analysis made it possible to determine the development of the research topic, to identify the ideas of various scientific areas concerning the determinants of the formation of legal infantilism, its characteristics and manifestations in modern Russia during the historiographical analysis. The sociological method was an important one, it enabled to characterise the subjects - bearers of legal infantilism. General scientific (analysis, synthesis, generalisation, abstraction, historical) and special (historical-legal, interpretation of normative legal acts) methods were used. Results. Legal infantilism is examined as the manifestation of legal conscience deformation being a type of social infantilism. The paper defines the prerequisites for the development of legal infantilism, its distinctive features. It gives examples of manifestation in everyday, professional and scientific activities; and reveals the peculiarities of legal infantilism of the youth as a special social group. The study reveals the need for a comprehensive scientific analysis of legal infantilism as a phenomenon of modern legal reality, as the result of a gap or insufficient systematic assimilation of legal norms and legal values by an individual and a social group. It is proved that legal infantilism is a threat to the progressive development of the state and society, in this regard, in the context of determining the ways to improve the state-legal system of modern Russia, legal infantilism should be considered as a public danger.

Analysis of the scientific production on the implementation of knowledge management for supply chain sustainability

This research aims to analyze the scientific production on the implementation of knowledge management for sustainability of supply chain. The study is of a descriptive quantitative type, by performing a bibliometric analysis executed in the Scopus database where only the articles found in open access in the areas of engineering, business, administration and accounting sciences were considered. A total of 43 articles were detected. The authors with the major contributions were Tseng, M.L. and Mangla, S.K. The most productive institutions were Brunel University London and Brunel Business School. The country in which the largest number of research papers were published was The United Kingdom. The articles were published in 29 journals. A bibliometric map of co-authorship was carried out, which showed that these were grouped into four clusters and that of co-occurrence of keywords structured into six clusters, which identified six lines of research.