bluuebunny/crossref_metadata_2025 huggingface dataset:
Probing the Potential of Water Chestnut Powder (Trapa bispinosa) in Improving the Shelf Life of Buttermilk
Authors: Rehman Rao Sadia , Gulzar Nabila , Nadeem Muhammad , Rafiq Saima , Khanum Fakhara , Murtaza Shamas , Ajmal Muhammad
Published: March 2024

Buttermilk, a valuable by-product of butter production, faces challenges in commercialization due to its limited shelf life and susceptibility to fungal growth. This study aimed to explore the use of water chestnut powder (WCP) as a means to extend the shelf life of buttermilk. The investigation involved evaluating the physicochemical properties, antioxidant activity, antifungal properties, and stabilizing effects of WCP in buttermilk. Buttermilk samples were prepared with varying concentrations of WCP (0%, 0.5%, 1%, 1.5%, and 2%) and stored at 4 °C for one month. The analysis of physicochemical properties showed that the concentration of WCP had a significant impact on the protein percentage, ash content, pH, and acidity of the Water Chestnut Buttermilk (WCBM). Assessment of antioxidant activity using the phosphomolybdenum method showed that, on the 21st day of storage, WCBM3 and WCBM4 exhibited total antioxidant capacities of 0.57±0.12 and 0.60±0.32, respectively, compared to the control with a capacity of 0.48±0.07. The antifungal activity of water chestnut powder buttermilk was evaluated using a qualitative method, which demonstrated inhibition of fungal growth. In the control and WCBM1 and WCBM2 treatments, the observed inhibition ranged from 1-4 mm. However, as the concentration of water chestnut powder increased in WCBM3 and WCBM4, the level of inhibition also increased. Textural analysis further indicated the stabilizing effect of WCP on buttermilk. Overall, the incorporation of WCP in buttermilk yielded promising results in terms of enhancing its physicochemical properties, antioxidant activity, antifungal potential, and textural stability. This study highlights the potential of water chestnut as an ingredient to improve the shelf life and quality of buttermilk, creating opportunities for its commercial utilization in the dairy industry.
Kesan Pelarut yang Berbeza Terhadap Ciri-Ciri Fizikokimia, Kandungan Fenolik dan Aktiviti Antioksida Daun Galak Tua (Stemona curtisii)
Authors: Low Xiang Ting , Che Ku Jusoh Tengku Farizan Izzi , Hashima Haslaniza
Published: March 2024

Stemona curtisii atau juga dikenali sebagai pokok Galak Tua adalah herba daripada famili Stemonaceae yang digunakan dalam perawatan tradisi. Matlamat penyelidikan ini adalah untuk mengkaji kesan pengekstrakan menggunakan pelarut yang berbeza terhadap ciri fizikokimia, kandungan fenol dan aktiviti antioksida daun S. curtisii. Dalam kajian ini, jenis pelarut (metanol, etanol dan aseton) dan kepekatan pelarut yang berbeza (50%, 80% dan 100%) digunakan untuk mengekstrak sebatian fenol daripada sampel daun. Untuk penentuan ciri fizikokimia, analisis warna menunjukkan bahawa ekstrak daun S. curtisii menggunakan 50% etanol memberikan perubahan warna yang paling tinggi secara signifikan (p<0.05) berbanding pelarut lain. Nilai pH bagi ekstrak daun S. curtisii dengan ketiga-tiga jenis dan kepekatan pelarut adalah berasid dengan julat daripada 4.12 hingga 5.26. Daun S. curtisii yang diekstrak dengan 80% etanol mempunyai nilai pH yang paling tinggi (5.26) secara signifikan (p<0.05) berbanding semua pelarut yang digunakan. Keputusan kajian telah membuktikan ekstrak daun S. curtisii menggunakan 80% metanol menunjukkan kandungan fenol (78.3 ± 2.3 µg GAE/kg) yang paling tinggi secara signifikan (p<0.05) berbanding dengan pelarut lain. Selain itu, pengekstrakan menggunakan 80% etanol menunjukkan aktiviti antioksida yang paling tinggi secara signifikan (p<0.05) berbanding pelarut lain terhadap ujian DPPH iaitu 84.05 ± 0.29%. Bagi ujian ABTS, daun S. curtisii diekstrak dengan 80% metanol memberikan nilai ABTS (74.44 ± 0.12%) paling tinggi secara signifikan (p<0.05) berbanding pelarut lain. Bagi ujian FRAP pula, hanya ekstrak daun S. curtisii menggunakan 80% metanol menunjukkan aktiviti antioksida (13.4 ± 0.62 µg GAE/kg) yang paling tinggi secara signifikan (p<0.05). Oleh itu, 80% metanol adalah pelarut yang paling sesuai untuk pengekstrakan daun S. curtisii yang mana ekstrak tersebut mempunyai kandungan fenol dan aktiviti antioksida yang tinggi berbanding pelarut lain.
Advance Heteroatom Dopants Nitrogen, Boron, Sulphur and Phosphorus on Carbon Dots Towards Histamine Detection in Fish Sample
Authors: Zakki Fahmi Mochamad , Asrini Sugito Siti Febtria , Hanifah Nadia Aulia , Nur’aini Ummi Lathifah , Purwanto Bambang , Lee Hwei Voon
Published: March 2024

This study introduces heteroatom-doped carbon dots (CDs), namely boron-sulphur (BS-CDs) and nitrogen-phosphorus (NP-CDs), highlighting their potential as optical materials for sensitive histamine detection in sensor applications. Synthesized through facile pyrolysis of citric acid cores with non-metal dopants, resulting in confirmed graphene-like structures and uniform spheres with crystal diameters below 3 nm of BS-CDs and NP-CDs. The optical properties exhibited blue fluorescence, with emission wavelengths of 280 nm (QY 0.08%) and 420 nm (QY 1.72%) for BS-CDs and NP-CDs, respectively. Despite declined fluorescence intensities due to interfering components, both CDs demonstrated low selectivity for histamine, which increased the intensity in its presence. Notably, BS-CDs exhibited superior detectability of histamine at a low concentration of 26.3 ppm compared to 42.8 ppm for NP-CDs. Cytotoxicity studies indicated low toxicity for both CDs, positioning them as promising candidates for further development as histamine detectors
A New Oxoaporphine and Liriodenine's Anti-Neuroblastoma Potential from the Roots of Polyalthia bullata King
Authors: Primus Phoebe Sussana , Wu Carol Hsin-Yi , Kao Chai-Lin , Choo Yeun-Mun
Published: March 2024

Polyalthia bullata King’s root yielded a new compound named 5-methylliridine (1) in addition to six previously identified compounds. These known compounds include liriodenine (2), 11-methoxyliriodenine (3), lysicamine (4), onychine (5), 5-hydroxy-6-methoxyonychine (6), and 8-methoxyeupolauridine (7). The structures of compounds 1-7 were determined through spectroscopic analysis. Liriodenine (2) exhibited a remarkable ability to decrease the cell viability of cancerous N2A cells to 22% within a 24 h timeframe, indicating its potential as an anti-neuroblastoma agent. Molecular docking results additionally suggested that oxoaporphines (1-4) have the potential to act as inhibitors of protein kinases. These findings highlight the therapeutic potential of P. bullata constituents in cancer treatment, particularly neuroblastoma, and contribute to understanding its medicinal properties.
Synergistic Interaction between Topical Application of Allicin and Quercetin Enhances Diabetic Wound Healing Via Inflammatory in Wistar Rats
Authors: Nusantoro Agik Priyo , Kuntaman Kuntaman , Perdanakusuma David Sontani
Published: March 2024

Prolonged and excessive inflammatory processes at the wound site result in delayed healing of diabetic wounds. Allicin and quercetin have significantly inhibited tumor necrosis factor alpha (TNF-α) and increased levels of transforming growth factor beta (TGF-β) and vascular endothelial growth factor (VEGF) in rats. However, there is no known investigation on the combination of both compounds on TNF-α, TGF-β, and VEGF as a topical healing agent via inflammatory mechanisms. This study aims to determine the synergistic interaction between topical application of allicin and quercetin in enhancing diabetic wound healing via inflammatory in Wistar rats. A total of 45 male Wistar rats weighing 180-250 g were induced diabetes by a single intraperitoneal injection of streptozotocin (45 mg/kg bw). Diabetic rats underwent wound creation under anaesthesia and a square-shaped open excision wound was made with a full-thickness measurement of 1 cm × 1 cm on the right side of the rat's back. Rats were randomly allocated into group namely, vehicle control, allicin, quercetin, and a combination of allicin and quercetin which is applied topically once a day at a dose of 10 mg/mL for 7 days. Our finding showed that once daily topical application of allicin and quercetin, both independently and synergistically, increased levels of TGF-β and VEGF, as well as decreased levels of TNF-α of the rat diabetic wound model compared with the vehicle control group over 7th day. The synergistic effects of allicin and quercetin significantly enhanced diabetic wound healing via inflammation in rats, by suppressing inflammatory cytokines and stimulating growth factors hence offering a new window of an experimental study.
Optimizing Degradable Plastic Density Prediction: A Coarse-to-Fine Deep Neural Network Approach
Authors: Abu Bakar Syamsiah , Hussain Saiful Izzuan , Mourad Zirour
Published: March 2024

Density is an important property for the production of high-quality degradable plastics. Density is useful to determine the type of plastic material and to detect physical changes in the plastic material. In this paper, a novel technique for predicting the density of degradable plastics using Deep Neural Networks (DNN) is presented. The aim was to reduce the dimension of the inputs in order to establish a strong relationship between the inputs using principal component analysis (PCA). The results show that the combination of polyethylene, oil palm biomass, starch and palm oil has a greater impact on predicting the density of degradable plastics. Subsequently, the number of hidden neurons is determined by a coarse-to-fine search to develop the network topology of the DNN model for predicting the density of degradable plastics. The developed DNN model consists of 4 input neurons, 62 neurons in the first hidden layer, 31 neurons in the second hidden layer and one output neuron. The developed DNN model showed high accuracy with the lowest values for RMSE, MAE and MSE, indicating that the use of a DNN model is a suitable method for predicting the density of degradable plastics. Furthermore, this study has the potential to make rapid and accurate predictions about the physical properties of degradable plastics in the context of polymers.
Examining Tail Index Estimators in New Pareto Distribution: Monte Carlo Simulations and Income Data Applications
Authors: Mohd Safari Muhammad Aslam , Masseran Nurulkamal , Haron Mohd Azmi
Published: March 2024

An evolved form of Pareto distribution, the new Pareto-type distribution, offers an alternative model for data with heavy-tailed characteristics. This investigation examines and discusses fourteen diverse estimators for the tail index of the new Pareto-type, including estimators such as maximum likelihood, method of moments, maximum product of spacing, its modified version, ordinary least squares, weighted least squares, percentile, Kolmogorov-Smirnov, Anderson-Darling, its modified version, Cramér-von Mises, and Zhang's variants of the previous three. Using Monte Carlo simulations, the effectiveness of these estimators is compared both with and without the presence of outliers. The findings show that, without outliers, the maximum product of spacing, its modified version, and maximum likelihood are the most effective estimators. In contrast, with outliers present, the top performers are Cramér-von Mises, ordinary least squares, and weighted least squares. The study further introduces a graphical method called the new Pareto-type quantile plot for validating the new Pareto-type assumptions and outlines a stepwise process to identify the optimal threshold for this distribution. Concluding the study, the new Pareto-type distribution is employed to model the high-end household income data from Italy and Malaysia, leveraging all the methodologies proposed.
Aprendizaje Dialógico como Actuación Educativa de Éxito para el Desarrollo Sostenible en Educación Superior
Authors: Amber-Montes Diana , Martínez-Valdivia Estefanía , Pegalajar-Palomino María del Carmen
Published: March 2024

Este estudio tiene el objetivo de conocer la valoración del estudiante de educación hacia el aprendizaje dialógico, implementado a partir de las Tertulias Pedagógicas Dialógicas (TPD), considerada una Actuación Educativa de Éxito para la formación hacia el Desarrollo Sostenible en Educación Superior. Se ha realizado una investigación positivista, cuantitativa, y no experimental, utilizando un cuestionario ad hoc como instrumento de recogida de datos. La muestra seleccionada ha sido el alumnado de los Grados de Educación Primaria y Educación Social de la Universidad de Jaén (n=417). Los resultados muestran que las TPD consiguen una formación integral del alumno y lleva a la inclusión de todos los estudiantes en el aula, fomentando así la igualdad. Se puede concluir que es una metodología activa idónea para desarrollar el aprendizaje dialógico en los estudiantes de los grados de educación, que además consigue una formación orientada hacia los Objetivos para el Desarrollo Sostenible.
Redefining Hallin and Mancini’s Media System: Cross-Border Investigative Networks in Europe
Authors: Romero-Domínguez Lorena R.
Published: March 2024

This article analyses how cross-border investigative journalism (CBIJ) has expanded the parameters of the media system described by Hallin and Mancini (2004), with the addition of new indicators to adapt it to the paradigm of global convergent media. To this end, it examines how this type of journalism has been conceptualised in Europe as a result of the forums articulated at Dataharvest (the European Investigative Journalism Conference). A quantitative method is applied with text mining techniques to analyse the frequency, associations, and groupings of terms mentioned in the sessions offered from 2014 to 2023. To classify the language units, the variables of CBIJ’s economic model, its thematic relationship with national contexts, and its professional practices are used. The results reveal a clear predominance of the word “data,” reflecting Dataharvest’s particular interest in the dynamics of data processing, which has become an essential part of the work in these networks. An analysis of organisational culture reveals that high-profile associations play a more important role in collaborative projects than less institutionalised networks. The business model encourages non-profit organisations that depend on foundations to support their work. In thematic terms, CBIJ projects address topics emerging in the supranational space, offered with a common frame of reference for multiple countries. These networks necessitate a redefinition of the model defined in 2004, as they have developed qualities of their own in relation to the business model they adopt, the transnational orientation of reporters, the issues addressed, and, to a lesser extent, professional practices.
Comparing Media Systems Through the Lens of Neoliberal Hegemony: Evidence From the US and Flanders
Authors: Wandels Nils , Mast Jelle , Bulck Hilde Van den
Published: March 2024

This article argues that increased insight into the global characteristics of the post-Cold War era provides journalism scholars with alternative interpretative lenses to engage in comparative analysis of media system development in the West. We adopt the sociohistorical approach pursued by Hallin and Mancini (2004) in their seminal work Comparing Media Systems to embark on an examination of the dialectic relationship between global neoliberal hegemony, the transformation of media markets, and the emergence of a new journalistic consciousness (doxa). This examination concerns a comparative analysis of developments in a selection of Flemish and American legacy newspapers between 1980 and today, based on a data set consisting of 36 in-depth semi-structured interviews with high agency individuals (executive editors, managing editors, senior journalists, and publishers). The goal of the article is to establish the lens of global neoliberal hegemony as a viable alternative framework to the regional lens of the media systems typology for engaging in comparative analysis of developments in media structures and journalistic practice.
NECESSITY AND PREREQUISITES FOR ECOLOGICAL MODERNIZATION OF MANUFACTURING BY BUSINESS SUBJECTS
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, KUPALOVA Galyna , DEMCHENKO Kseniia ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Published: March 2024

Background. The purpose of this paper is to examine the main preconditions for the ecological modernization of production. The study considers some grouping approaches used in Europe. It is defined that scientific approaches to precondition analyses are diverse and depend mostly on research objectives, data quality, and chosen research method. The authors propose their method of preconditions systematization that allows one to take into account the basic stimulating factor and is based on the explored experience of ecological innovation implementation. According to this approach, it is divided into five groups of modernization factors: historical, legislative, stimulating, marketing, and technical. . Methods. It was used general scientific methods, in particular, analysis and synthesis; the comparative method was used to compare existing approaches to systematizing the prerequisites for the environmental modernization of production; the method of abstraction and generalization was used in the process of developing the author's approach to systematizing the prerequisites for environmental modernization of production by subjects of sub-industries. Results. The result of the study is the presentation of the author's approach to systematizing the prerequisites for ecological modernization of production by business entities Conclusions. The research has shown that there is no single methodology for systematizing the factors that trigger the mechanism of ecological modernization of manufacturing processes. Based on these conclusions, an attempt was made to develop an approach to systematization of the prerequisites for making a decision to initiate environmental modernization of production among business entities. As a result, it was proposed to assign six main categories that logically combine and structure all possible factors for stimulating the ecologization of production: historical, legislative, incentive, market, technical and progressive. The categories of influence are in a certain interdependence and subordination, characterizing the level of occurrence of the influence factor and the degree of autonomy of the business entity in the decision-making process.
INFLUENCE OF POLITICAL AND TECHNOLOGICAL FACTORS ON FOREIGN DIRECT INVESTMENT: COMPARATIVE ECONOMIC AND MATHEMATICAL ANALYSIS OF UKRAINE AND COUNTRIES OF THE WORLD
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, STAVYTSKYY Andriy , KHARLAMOVA Ganna ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, SHPYRKO Viktor ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Published: March 2024

Background. Over the past quarter century, there has been a noticeable increase in foreign direct investment (FDI), especially in developing countries. The relevance of this research stems from geopolitical changes, technological progress, and the crucial role of FDI in financing economic and social development. This article is dedicated to examining (FDI) in the context of determining factors that make a recipient country attractive. Methods. The selected key influencing factors include political and technological aspects across seven different countries worldwide, including Ukraine. Using regression modeling methods for seven countries (Ukraine, Germany, the United Kingdom, Lithuania, Romania, the United States, and Japan), we have identified the key factors that have the greatest impact on FDI in each of these countries. Results. The analysis highlights the importance of factors such as political stability and the import of ICT goods for attracting FDI to Ukraine. However, the study emphasizes that such involvement necessitates the establishment of political stability within the country and the development of an export-oriented economy. It underscores the crucial importance of opening international markets for Ukrainian products to facilitate economic growth and attract foreign investment. Conclusions. The article concludes by emphasizing the significance of attracting FDI for the reconstruction of infrastructure, businesses, and the IT market, particularly with regard to funding from international organizations and investment by international corporations in Ukraine and other post-war partner countries. However, this involvement requires the achievement of political stability in the country, as well as the formation of an economy focused on the export of goods. For this reason the opening of international markets for Ukrainian products is crucial.
CONCEPTUALIZATION OF FINANCIAL TRADING
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, SHOLOIKO Antonina , PENGYUE Hou ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Published: March 2024

Background. Financial trading is a crucial aspect of modern economies. Nowadays it is also a field of study that has received great attention from researchers and financial institutions worldwide. At the same time, the concept of financial trading has gradually become more complex against the background of globalization and the digital economy. The purpose of the article is to scientifically and comprehensively define the concept of "financial trading." To achieve this purpose, the following tasks were done: to construct the definition of financial trading; to generalize the characteristics of the main financial trading participants (individual traders, institutional investors, high-frequency traders, market makers, brokers, and sovereign wealth funds); to create a comprehensive classification of financial trading. Methods. During this research, a seven-stap methodology of definition construction by A. Starostina and V. Kravchenko was applied, a grouping method for dividing financial trading participants into categories, and a combination of hierarchical and faceted classification methods were used. Results. Consequently, a scientific definition of financial trading (including three components: essence, content, and result), a grouping of the main participants of financial trading (systemic and investment participants) and a comprehensive classification of financial trading were suggested. Conclusions. These findings are basic for financial regulators and market practitioners seeking to improve the efficiency, stability, and inclusiveness of financial trading. For academics, this study will contribute to the future research of seeking the profitability improvement of financial investment through financial trading and exploring the perspective development of financial trading technology.
DEVELOPMENT PROSPECTS OF UKRAINIAN CREATIVE INDUSTRY ENTERPRISES UNDER THE CHALLENGES OF WARTIME
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, KOVALENKO Oksana , ONYSENKO Tetiana ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, MYKYTIUK Oksana ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, KRAVCHENKO Tetiana ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, SVYRYDIUK Tetiana ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Published: March 2024

Background. In the face of military aggression against Ukraine, the issue of stimulating economic growth and restoring national competitiveness becomes increasingly relevant. This article examines the role of creative industries as potential drivers of these processes and their significance under the globalization of economic processes. The study is aimed at identifying and analyzing the prospects for the development of the creative economy in Ukraine in times of military challenges. The authors investigate the theoretical basis of the formation and operation of creative industries in the context of military aggression and define their place in the new economy alongside the innovation and knowledge economies. Methods. The paper uses an analysis and comparison of international practices of state support for creative industries, as well as an analysis of the impact of the state of war on various creative and cultural industries in Ukraine. Results. The article explores the possibility of the development of enterprises in the creative industry sector in times of military conflict. The authors analyze crucial aspects such as changes in consumer demand, funding, infrastructure, and marketing in this important economic sector. Conclusions. The study emphasizes the importance of creative industries as a tool for innovation, modernization, and high-value-added production during the recovery of the Ukrainian economy. The conclusions also highlight the necessity of supporting and developing creative sectors as a factor of demand in global markets.
Formation of the cyber protection system for the integrated industry information system of Ukraine of the national cyber security sector
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, Toliupa Serhii , Slipachuk Lada ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Published: March 2024

This The article is devoted to the disclosure and elucidation of the envisaged composition, structure of measures and tools that will be part of a comprehensive system of protection of industry-integrated MIS in the national cybersecurity sector. The article also describes the specifics and strategic value of the involved resources, which will be operated by the established system of cybersecurity. It is noted that the industry-integrated cyber defense MIS envisages the use of a set of interconnected means and measures, the implementation of which is necessary and sufficient for the full protection of industry-integrated MIS to counter external unauthorized access, etc. Emphasis is placed on the compliance of the envisaged cybersecurity system with international criteria and standards of protection of such control systems for NATO countries, in particular, the US Department of Defense cybersecurity standard (TCSEC also known as "Orange Book"); with international criteria and standards for the protection of similar control systems for other leading countries, in particular, the international technical standard ISO/IEC 15408 "General criteria for assessing IT security", which has been ratified by most leading countries; with guidelines and recommendations of the International Organization NCSS (National Cyber Security Strategies) for NATO Partner countries, as set out in the National Cyber Security Strategy and developed by international national cybersecurity experts, scholars and European international cybersecurity advisers in the context of NATO's "Science for Peace and Security (SPS) Programme"; with national technical standards of Ukraine. The article also presents in detail the full range of mandatory resources and tools for the cybersecurity of designed industry-integrated MIS in the national cybersecurity sector, which include five levels of cybersecurity (organization, software, hardware, engineering, additional physical level).
A METHOD FOR INCREASING THE EFFICIENCY OF CONTROLLING THE ENERGY POTENTIAL OF PROTECTED TERAHERTZ RADIO LINES USING ARTIFICIAL INTELLIGENCE
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, Nakonecnii Volodymyr , Saiko Volodymyr ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, Narytnyk Teodor ,   Institute of Electronics and Communication of the Academy of Sciences of Ukraine, Kyiv, Ukraine
Published: March 2024

The growth of large volumes of information flows encourages the development of transmission and reception systems in the very high frequency range to ensure effective control of IR-UWB radio links of terahertz signals based on machine learning algorithms and neural networks, taking into account energy saving. For this purpose, the article proposes an algorithm for tracking a multipath signal of a system for receiving signals from spatially separated low power transmitters, a feature of which is the refinement in the process of tracking the time positions of the components and their number. A feature of the developed algorithm is the use of the wavelet transform to obtain the input image of the neural network. A structural and functional model for constructing a receiving system for IR-UWB signals in the very high frequency range with intelligent control elements is proposed, which is based on separate control planes and physical infrastructure for automatic and operational control of the process of sharing physical infrastructure resources and artificial intelligence methods. Unlike existing models of IR-UWB receiving systems for terahertz signals, it provides protocol and infrastructure data collection for intelligent algorithms. The presented physical infrastructure has a training and optimization module that involves the use of an existing simulation model of a radio link in the terahertz range from 0.11 to 0.17 terahertz to test intelligent algorithms for controlling the energy potential of IR-UWB radio links. The developed data collection algorithm involves monitoring the state of the blocks of the receiving complex for rational data collection using the change in the values of both the Euclidean distance metrics and the metrics of functional technical parameters in relation to the number of clusters.
Improving aortic aneurysm detection with artificial intelligence based on chest computed tomography data
Authors: Solovev Alexander V. , Vasilev Yuriy A. , Sinitsyn Valentin E. , Petraikin Alexey V. , Vladzymyrskyy Anton V. , Shulkin Igor M. , Sharova Daria E. , Semenov Dmitry S.
Published: March 2024

BACKGROUND: Aortic aneurysms are known as “silent killers” because this potentially fatal condition can be asymptomatic. The annual incidence of thoracic aortic aneurysms and ruptures is approximately 10 and 1.6 per 100,000 individuals, respectively. The mortality rate for ruptured aneurysms ranges from 94% to 100%. Early diagnosis and treatment can be life-saving. Artificial intelligence technologies can significantly improve diagnostic accuracy and save the lives of patients with thoracic aortic aneurysms.
AIM: This study aimed to assess the efficacy of artificial intelligence technologies for detecting thoracic aortic aneurysms on chest computed tomography scans, as well as the possibility of using artificial intelligence as a clinical decision support system for radiologists during the primary interpretation of radiological images.
MATERIALS AND METHODS: The results of using artificial intelligence technologies for detecting thoracic aortic aneurysms on non-contrast chest computed tomography scans were evaluated. A sample of 84,405 patients 18 years old was generated, with 86 cases of suspected thoracic aortic aneurysms based on artificial intelligence data selected and retrospectively assessed by radiologists and vascular surgeons. To assess the age distribution of the aortic diameter, an additional sample of 968 cases was randomly selected from the total number.
RESULTS: In 44 cases, aneurysms were initially identified by radiologists, whereas in 31 cases, aneurysms were not detected initially; however, artificial intelligence aided in their detection. Six studies were excluded, and five studies had false-positive results. Artificial intelligence aids in detecting and highlighting aortic pathological changes in medical images, increasing the detection rate of thoracic aortic aneurysms by 41% when interpreting chest computed tomography scans. The use of artificial intelligence technologies for primary interpretations of radiological studies and retrospective assessments is advisable to prevent underdiagnosis of clinically significant pathologies and improve the detection rate of pathological aortic enlargement. In the additional sample, the incidence of thoracic aortic dilation and thoracic aortic aneurysms in adults was 14.5% and 1.2%, respectively. The findings also revealed an age-dependent diameter of the thoracic aorta in both men and women.
CONCLUSION: The use of artificial intelligence technologies in the primary interpretation of chest computed tomography scans can improve the detection rate of clinically significant pathologies such as thoracic aortic aneurysms. Expanding retrospective screening based on chest computed tomography scans using artificial intelligence can improve the diagnosis of concomitant pathologies and prevent negative consequences.
Evaluation of angiogenesis and microvascular remodeling in the subventricular zone of the brain of mice with experimental Alzheimer’s disease
Authors: Averchuk Anton S. , Ryazanova Maria V. , Stavrovskaya Alla V. , Novikova Svetlana V. , Salmina Alla B.
Published: March 2024

BACKGROUND: Under the influence of external factors (learning), processes of microvasculature remodeling occur in the neurogenic niche to meet the metabolic needs of activated cells. However, it remains unclear how these mechanisms of brain plasticity are disrupted during neurodegeneration.
AIM: To study the expression features of markers of angiogenesis and microvascular remodeling in the subventricular zone of the brain during training of animals, including against the background of the development of Alzheimer’s-type neurodegeneration in them.
MATERIAL AND METHODS: The studies were carried out on C57BL/6 mice at the age of 8 months. Modeling of Alzheimer’s disease was carried out by intrahippocampal injection of 2 μl of a 1 mM solution of β-amyloid Aβ25-35. To assess cognitive deficits, a conditioned passive avoidance test using an aversive stimulus was used. The expression of LC3B, ZO1, VEGFR2, VEGFR3, CD146, ICAM2, Dll4, Tie2 in the subventricular zone per 100 DAPI-positive cells was assessed. The test results were processed using one-way ANOVA and Fisher's test, the Mann–Whitney U test, the results were considered significant at p 0.05.
RESULTS: On the 9th day after the administration of β-amyloid, before the application of the aversive stimulus, an increase in the expression level of LC3 (7.95±5.83%, p=0.045), CD146 (18.35±0.01%, p=0.045) was recorded, as well as VEGFR3 (17.13±5.05%, p=0.045), which continued to increase after the presentation of the stimulus (26.61±0.01%, p=0.045). By the beginning of registration of cognitive impairment (38th day of the experiment), the expression level of VEGFR2 (20.61±2.8%, p=0.045) and ICAM2 (126.61±41.28%, p=0.045) increased, the content of Dll4 (29.66±8.72%, p=0.045) and Tie2 (36.39±7.8%, p=0.045) decreased in animals with experimental Alzheimer’s disease.
CONCLUSION: An aversive stimulus stimulates microvascular remodeling mechanisms in the subventricular zone of the animal’s brain, but when exposed to β-amyloid, these processes are significantly disrupted.
Possibilities of Predicting Peak Oxygen Consumption in Patients With Chronic Heart Failure According to the 6‑Minute Walk Test
Authors: Begrambekova Yu. L. , Fedotov D. A. , Karanadze N. A. , Lelyavina T. A. , Bortsova M. A. , Orlova Ya. A.
Published: March 2024

Aim. To determine the correlation between the results of the 6-minute walk test (6MWT) and peak oxygen consumption (VO2peak) for populations of patients with chronic heart failure with pronounced clinical and demographic differences; to study a possibility of indirect measurement of VO2peak based on the results of 6MWT using the formulas available from the literature.

Material and methods. Two databases were analyzed: 50 patients included in the AEROFIT study (group A), and 31 patients from the Almazov National Medical Research Center (group B). The inclusion criteria were the availability of data from the cardiopulmonary stress test and the 6MWT. The possibility of predicting VO2peak was calculated based on the results of 6MWT using the formulas reported in the literature (L. P. Cahalin et al., 1996; R. M. Ross et al., 2010; R. A. Adedoyin et al., 2010). The predictive accuracy of the models was assessed using the coefficient of determination (R2). The relationship between functional and clinical-demographic indicators was assessed using the Pearson or Spearman correlation analysis.

Results. The study groups differed significantly in all parameters, except for the proportion of men and the mean VO2peak. Group B patients were 20 years younger than group A patients, had a lower left ventricular ejection fraction (24.06±7.75 and 41.52±10.48 %, respectively; p<0.001), and covered a 130 m shorter distance in the 6MWT. Despite the absence of a significant difference in VO2peak between groups A and B (13.6 and 13.1 ml / kg / min, respectively; p=0.6581), 61 % of group B patients and 20% of group A belonged to Weber functional class IV. In group A, the 6MWT distance correlated closely with VO2peak (R=0.78; p<0.01) and weakly with age (R=0.4) and body mass index (R=0.3). In group B, the 6MWT distance correlated only with VO2peak (R=0.77; p<0.01). For group A, the R.M. Ross et al. model demonstrated high accuracy in determining the mean VO2peak value with a 0.06% prediction error normalized to measured VO2peak. For group B, none of the models showed satisfactory predictive accuracy. The Ross and Cahalin models showed the best coefficients of determination for groups A and B: Group A, Ross et al. (R2=0.58) and Cahalin et al. (R2=0.59); Group B, Ross et al. (R2=0.59) and Cahalin et al. (R2=0.6).

Conclusion. In two groups of patients with a statistically insignificant difference in the mean values of VO2peak, the mean values of 6MWT distance were significantly different, although these indicators correlated closely. The VO2peak prediction models showed satisfactory accuracy for estimation of mean VO2, but poor accuracy for estimation of individual values. A better predictive accuracy is determined by similar clinical and demographic characteristics between the training and testing populations, and likely also by models based on larger, more diversified populations.
Ensuring the relevance of enterprise business process knowledge based on an ontological model
Authors: Antonov Vyacheslav V. , Konev Konstantin A. , Palchevsky Evgeny V. , Rodionova Lyudmila E. , Baimurzina Liliya I.
Published: March 2024

The problem of ensuring the relevance of knowledge about the business process of an enterprise based on its ontological model is considered. The obsolescence of enterprise business process models leads to the need to redesign solutions for their automation. Approaches to solving the problem of maintaining the relevance of the business process model are presented. The regulatory basis of the business process of an enterprise was examined for its similarity to models developed to solve automation problems, and a conclusion was made that they have a common basis. This makes it possible to consider the regulatory basis as a metamodel and store data using linguistic variables. Ontological models built according to the IDEF5 standard for the most common regulatory documents of a business process are considered. It was been revealed that one of the most important elements of managing an industrial enterprise and its business processes is maintaining the relevance of all components, including the situational ontological model. A methodology is proposed for integrating an ontological model into the process of updating enterprise regulatory documents, preserving knowledge about the business process and retrieving it to generate changes to regulatory documents and models used to automate business processes. An example of using the technique for planning equipment repairs carried out outside the main work plan is considered.
INNOVATIVE TEACHING OF FUTSAL FOR PHYSICAL EDUCATION TEACHERS AT PRIMARY SCHOOLS
Authors: Smejc Ondrej , Pokorny Ladislav , Jandova Sona
Published: March 2024

The teaching of futsal in primary schools in the Czech Republic is poorly mapped and primary schools more often teach indoor football than futsal. The basis for this research was a questionnaire survey in which 31 primary school physical education teachers participated. This survey showed that 69.2 % of teachers do not conduct futsal drills, 61.5 % do not know the rules of futsal and 84 % of teachers spend a maximum of 4 hours on futsal. Therefore, this paper presents an innovative futsal teaching method for physical education teachers to discuss the basic issues and teaching methods. In order to test our assumptions about the effectiveness of innovative teaching, a research was conducted with two groups of 8th and 9th grade pupils from the Jižní Primary School in Žatec over a period of 8 weeks. 29 pupils (14.21±0.12 years of age) formed the research group and 28 (14.09±0.26 years of age) formed the control group. As part of the research, both groups underwent entry and exit tests verifying futsal skills. The research group followed a specialised futsal plan designed by us, the other group played indoor futsal once a week under the guidance of a teacher. In all tested areas, the research group showed a significant improvement in the exit tests compared to the control group. In practice, this means that students who have undergone specialized futsal training improve in all the important areas that are essential for futsal. A significant difference in the outcome tests is observed in shooting and ball handling. We have seen a big shift in the pupils’ movement skills through the beep test and thus we can observe an improvement in short term endurance. In the test of stepping on the ball for 1 min, there is a shift in the dexterity component.
Penerapan Metode Principal Component Analysis (PCA) Pada Klasifikasi Status Kredit Nasabah Bank Sumsel Babel Cabang KM 12 Palembang Menggunakan Metode Decision Tree
Authors: Sartika Dewi , Saluza Imelda
Published: March 2024

Bank Sumsel Babel merupakan penyedia jasa layanan keuangan daerah yang berwenang dalam menghimpun dana dari masyarakat dan menyalurkannya kembali kepada masyarakat dalam bentuk pinjaman modal kerja dengan tujuan untuk meningkatkan taraf hidup masyarakat umum. Produk yang disediakan oleh Bank Sumsel Babel diantaranya tabungan, deposito, pinjaman dan lain sebagainya. Pemberian pinjaman pada suatu nasabah dilakukan berdasarkan beberapa variabel, salah satunya adalah melihat status pembayaran calon nasabah pada proses peminjaman sebelumnya. Oleh karena itu, pada penelitian ini akan dilakukan penerapan metode Principal Component Analysis (PCA) dalam menentukan status kredit nasabah Bank Sumsel Babel Cabang KM 12 Palembang menggunakan metode Decision Tree. Hasil dari penelitian ini akan diperoleh pengaruh metode pre-processing PCA pada metode klasifikasi Decision Tree dalam penentuan status kredit nasabah. Analisis dilakukan dengan memperhatikan tingkat akurasi serta nilai precision, recall dan f1-score yang dihasilkan. Berdasarkan analisis yang dilakukan diperoleh bahwa metode PCA memberikan dampak baik terhadap kinerja dari metode Decision Tree dalam klasifikasi, hal tersebut terlihat dengan adanya peningkatan tingkat akurasi sebesar 10% dengan model klasifikasi dengan kinerja lebih baik.
Game Design in the Design Thinking Process For a Video Game Development Model to Support Tourism
Authors: Stevano H. Tobing Deddy
Published: March 2024

This article discusses the influence of video games on the tourism industry. Video games have become a popular and rapidly growing form of entertainment worldwide. This article reveals how video games can promote tourism through immersive virtual experiences, explore fictional worlds with stunning landscapes, and showcase the culture and historical heritage of various regions different. Dubois and Gibbs proposed the theory that video games can influence tourists’ motivation to visit video gamerelated tourist attractions. Although video games have the potential to boost tourism, research shows that their effectiveness is still lower than that of cinema or print media. However, the development of video games with tourism themes offers opportunities for game developers and the tourism industry. By combining advanced technology and creativity, video games can provide educational experiences, promote tourist destinations, and create new value for players. The author offers a new framework that integrates design thinking with game design as a more effective approach in developing video games that support tourism.
Keywords: video game, tourism, game design, design thinking
Forming Jeneponto Regency City Branding With Jeneponto Gammara Video
Authors: Junaedi Junaedi , Gusti Acfira Lukytta , Safri Safri , Fachria Eva
Published: March 2024

Research on Forming City Branding in Jeneponto Regency with Jeneponto Gammara Video is a mapping model and becomes a communication strategy in the study of branding strategy. This research aims to explore the tourism potential of Jeneponto Regency and then City Branding “Jeneponto Gammara” as well as becoming the iconic tagline of Jeneponto Regency. The method used is a design method oriented toward video production (audiovisual) in the form of preproduction, production, and postproduction which is then used to produce city branding-forming videos. The Jeneponto Gammara City Branding Strategy is a new strategy utilizing communication technology that synergizes with marketing tourism in building Jeneponto Regency tourism in the tourism sector. The results of this study can echo the city branding of Jeneponto Regency so that it is familiar to the eyes of the Indonesian people and the tourism potential of Jeneponto Regency is clearly mapped so that the Regency’s foreign exchange can increase from the tourism sector which will have a significant positive effect on other sectors.
Keywords: communication strategy, city branding, jeneponto gammara, tourism
Biometrija in varstvo osebnih podatkov: kako na tehnologijo gleda zakonodaja?
Authors: Antunićević Ana
Published: March 2024

V tem prispevku se avtorica osredotoča na vzpostavitev nove zakonodaje s področja varstva osebnih podatkov tako na ravni Evropske Unije (GDPR) kot tudi na ravni Slovenije (ZVOP-2) in njen vpliv na obdelavo osebnih podatkov v okviru biometrične tehnologije.
Sprotna analiza slik vozil z metodami globokega učenja v ogrodju Flutter
Authors: Shishkov Aleksandr , Nikoloski Stevanče
Published: March 2024

V članku raziskujemo integracijo modela MobileNetV3 v ogrodju Flutter, osredotočajoč se na napredno klasifikacijo slik avtomobilov. Preučujemo večplasten pristop, ki vključuje uporabo raznolikih podatkovnih zbirk, fino prilagajanje modela ter njegovo brezhibno implementacijo v mobilno aplikacijo. S poudarkom na izboljšanju uporabniške izkušnje smo ustvarili tri specializirane modele z visoko stopnjo natančnosti (97%), ki prepoznajo ustrezne slike, klasificirajo tip slike (vozilo, armaturna plošča ali dokument) ter določajo stran avtomobila (spredaj, levo, desno, zadaj). Rezultati kažejo izjemno hitrost in odzivnost aplikacije, pri čemer MobileNetV3 zagotavlja natančno klasifikacijo v le 60 ms, kar prispeva k izjemni učinkovitosti celotnega sistema.