bluuebunny/crossref_metadata_2025 huggingface dataset:
Big data analytics for image processing and computer vision technologies in sports health management
Authors: Jin Ning , Zhan Xiao
Published: May 2024

BACKGROUND: Visualization of sports has a lot of potential for future development in data sports because of how quickly things are changing and how much sports depend on data. Presently, conventional systems fail to accurately address sports persons’ dynamic health data change with less error rate. Further, those systems are unable to distinguish players’ health data and their visualization in a precise manner. An excellent starting point for building fitness solutions based on computer vision technology is the data visualization technology that arose in the age of big data analytics. OBJECTIVE: This research presents a Big Data Analytic assisted Computer Vision Model (BD-CVM) for effective sports persons healthcare data management with improved accuracy and precision. METHODS: The fitness and health of professional athletes are analyzed using information from a publicly available sports visualization dataset. Machine learning-assisted computer vision dynamic algorithm has been used for an effective image featuring and classification by categorizing sports videos through temporal and geographical data. RESULTS: The significance of big data’s great potential in screening data during a sporting event can be reasonably analyzed and processed effectively with less error rate. The proposed BD-CVM utilized an error analysis module which can be embedded in the design further to ensure the accuracy requirements in the data processing from sports videos. CONCLUSION: The research findings of this paper demonstrate that the strategy presented here can potentially improve accuracy and precision and optimize mean square error in sports data classification and visualization.
Research on exoskeleton compliance control strategy based on dual interaction torque split phase control method
Authors: Liao Liangchuang , Zhang Guoan , Hu Mingwei
Published: May 2024

BACKGROUND: Human gait pattern recognition and compliance control are key technologies for achieving high coordination and assistance between exoskeleton robots and human movements. OBJECTIVE: In order to improve the adaptability of exoskeleton robots to the human body, this paper proposes an exoskeleton compliance control strategy based on dual interaction torque phase separation control method. METHODS: A support phase swing phase split control strategy based on dual interaction torque is proposed. Utilize the interaction force of human joints and adopt a model-based method to control the support phase. By utilizing the interaction force of exoskeleton joints and using a torque closed-loop method to control the swing phase, a multi-state control method of motion is achieved. RESULTS: A lower limb exoskeleton knee joint testing platform is built to verify the proposed human gait recognition The effectiveness of human-machine interaction force identification and human-machine coupling system compliance control technology. CONCLUSION: The proposed control method can effectively adjust joint torque, enabling the exoskeleton robot to maintain balance and stability during the entire walking phase.
Left atrial stiffness is in correlation with left atrial reservoir strain in pediatric patients with mitral regurgitation
Authors: Begic Zijo , Djukic Milan , Begic Edin , Aziri Buena , Gojak Refet , Mladenovic Zorica , Begic Nedim , Badnjevic Almir
Published: May 2024

BACKGROUND: Left atrial stiffness index (LASI), defined as the ratio of early diastolic transmitral flow velocity/lateral mitral annulus myocardial velocity (E/e’) to peak atrial strain, reflects reduced left atrial (LA) compliance and represents an emerging marker that can be used for noninvasive measurement of fibrosis of LA in patients with mitral regurgitation (MR). OBJECTIVE: To investigate the impact of chronic MR in children and adolescents on the remodeling and function of the LA, quantified through strain parameters and diastolic function. METHODS: The study included fifty patients (n= 50) diagnosed with primary and secondary chronic MR lasting at least 5 years. The echocardiographic recordings were performed by a third party, two cardiologists actively engaged in echocardiography on a daily basis. RESULTS: Older participants had higher values of the LASI (r= 0.467, p= 0.001). Participants with higher LASI values had a smaller LA reservoir (r= 0.784, p= 0.0001) and smaller LA conduit values (r=-0.374, p= 0.00). Participants with higher LASI values had a larger LA diameter (r= 0.444, p-value= 0.001) and higher average E/e’ ratio (r= 0.718, p= 0.0001). There was a significant difference (p= 0.04) in the LASI among participants based on the MR jet area (< 20.85% ⩾ 20.85%), LASI was higher in participants with an area greater than 20.85%. Differences in other parameters such as LA reservoir, LA conduit, LA contractile were not statistically significant. CONCLUSION: Increased LA stiffness is associated with diminished atrial compliance and reservoir capacity, and LASI has a potential to as an early marker for assessing disease severity and progression in pediatric MR.
Older workers and extended working life – Managers’ experiences and age management
Authors: Carlstedt Anita Björklund , Bjursell Cecilia , Nyman Rosita , Dahl Aslan Anna
Published: May 2024

BACKGROUND: In 2020 the Swedish Government started a gradual raising of the retirement age, but employers have been silent on the issue. Little is known about whether and how they reflect on what it will mean for their organization, or whether they already have, or are going to, make arrangements in order to facilitate and motivate older workers to stay longer. OBJECTIVE: The aim of this study was to explore and describe managers’ experiences of older workers and age management in connection with the increase of the retirement age in Sweden. METHODS: Data was collected through semi-structured interviews with fourteen managers from a broad set of organizations in the public and private sectors, and from the Middle and East of Sweden. The transcribed material was analysed in line with qualitative content analysis. RESULTS: The analysis ended up in seven main categories with associated sub-categories: Older Workers, Retirement Ages, Transition Initiatives, Competence Transfer, Competence Development, Increased Retirement Ages, Knowledge Gaps. CONCLUSION: Our findings reveal that there is an ambivalence in addressing the issue of age among the interviewed managers, what we have interpreted and labelled as “silent age discrimination”, and it was shown that they do not have elaborated strategies for age management.
Criteria and indicators for assessing the quality of the investigation of an information security incident as part of a targeted cyberattack
Authors: Smirnov S. I. , Eremeev M. A. , Magomedov Sh. G. , Izergin D. A.
Published: May 2024

Objectives. The currently increasing number of targeted cyberattacks raises the importance of investigating information security incidents. Depending on the available means of protection, computer forensic experts use software and hardware tools for analyzing digital artifacts of various operating systems and network traffic to create an event chronology (timeline) of the incident. However, to date, there is no formal approach for assessing the effectiveness of expert activities when investigating an information security incident within the framework of a targeted cyberattack. The present study aims to develop partial indicators of promptness, effectiveness, and resource intensity as part of the suitability criterion for investigating an information security incident.

Methods. Methods informed by purposeful process efficiency and set theory are used along with expert evaluation approaches.

Results. An analysis of works in the field of investigation of computer incidents is presented. The terminology and main guiding documents on specifics of conducting information security incident investigations are described along with examples of digital artifacts defined in the form of classification. The expediency of forming criteria and indicators for assessing the quality of an information security incident investigation is substantiated. The suitability criterion and subsequent indicators for assessing the quality of the investigation are selected: the effectiveness (completeness) indicator for detecting digital artifacts by a computer criminologist is based on the conducted activities, resource intensity indicator, and promptness indicator for investigating an information security incident.

Conclusions. The obtained results can be used not only by heads of departments but also by rank-and-file information security professionals for objective analysis of the available software and human resources, the time spent on these activities, and the identified digital artifacts as part of a cyber incident investigation.
High-resolution 2D-DoA sequential algorithm of azimuth and elevation estimation in automotive distributed system of coherent MIMO radars
Authors: Artyukhin I. V.
Published: May 2024

Objectives. One of the main tasks of radiolocation involves the problem of increasing spatial resolution of the targets in the case of limited aperture of the radar antenna array and short length of time samples (snapshots). Algorithms must be developed to provide high angular resolution and low computational complexity. In order to conform with the existing Advanced Driver Assistance Systems requirements, modern cars are equipped with more than one radar having a common signal processing scheme to improve performance during target detection, positioning, and recognition as compared to a single radar. The present study aims to develop a two-dimensional Direction-of-Arrival algorithm with low computation complexity as part of distributed coherent automotive radar system for cases involving short time samples (snapshots).

Methods. A virtual antenna array formation algorithm is formulated according to the two-dimensional Capon method. A proposed modification of two-dimensional Capon algorithm is based on sequentially estimating the directions of arrival for the distributed radar system. The Monte Carlo method is used to compare the effectiveness of the considered algorithms.

Results. The 2D-DoA sequential algorithm of azimuth and elevation estimation is proposed. The comparative analysis results for the developed algorithm and classical 2D Capon method based on numerical simulation using Monte Carlo method are presented. The proposed scheme of DoA estimation for coherent signal processing of distributed radars is shown to lead to an improvement of the main considered metrics representing the probability of correctly estimating the number of targets, mean square error, and square error compared to a single radar system. The proposed low-computational algorithm shows the gain in complexity compared to full 2D Capon algorithm.

Conclusions. The proposed two-stage algorithm for estimating the directions of arrival of signals in azimuth and elevation planes can be applied to the distributed system of coherent radars with several receiving and transmitting antennas representing multiple input multiple output (MIMO) radars. The algorithm is based on sequentially estimating the directions of arrival, implying estimation in the azimuthal plane at the first stage and estimation in the vertical plane at the second stage. The performance of a coherent radar system with limited antenna array configuration of separate radar is close in characteristics to a high-performance 4D-radar with a large antenna array system.
Analyzing and forecasting the dynamics of Internet resource user sentiments based on the Fokker–Planck equation
Authors: Perova J. P. , Lesko S. A. , Ivanov A. A.
Published: May 2024

Objectives. The study aims to theoretically derive the power law observed in practice for the distribution of characteristics of sociodynamic processes from the stationary Fokker–Planck equation and apply the non-stationary Fokker–Planck equation to describe the dynamics of processes in social systems.

Methods. During the research, stochastic modeling methods were used along with methods and models derived from graph theory, as well as tools and technologies of object-oriented programming for the development of systems for collecting data from mass media sources, and simulation modeling approaches.

Results. The current state of the comment network graph can be described using a vector whose elements are the average value of the mediation coefficient, the average value of the clustering coefficient, and the proportion of users in a corresponding state. The critical state of the network can be specified by the base vector. The time dependence of the distance between the base vector and the current state vector forms a time series whose values can be considered as the “wandering point” whose movement dynamics is described by the non-stationary Fokker–Planck equation. The current state of the comment graph can be determined using text analysis methods.

Conclusions. The power law observed in practice for the dependence of the stationary probability density of news distribution by the number of comments can be obtained from solving the stationary Fokker–Planck equation, while the non-stationary equation can be used to describe processes in complex network structures. The vector representation can be used to describe the comment network states of news media users. Achieving or implementing desired or not desired states of the whole social network can be specified on the basis of base vectors. By solving the non-stationary Fokker–Planck equation, an equation is obtained for the probability density of transitions between system states per unit time, which agree well with the observed data. Analysis of the resulting model using the characteristics of the real time series to change the graph of comments of users of the RIA Novosti portal and the structural parameters of the graph demonstrates its adequacy.
Ökobilanz und kybernetische Wirtschaftsplanung
Authors: Heyer Jakob , Zeug Walther
Published: May 2024

Viele bisherige Ansätze einer demokratischen Wirtschaftsplanung bleiben hinter den wissenschaftlichen und technischen Möglichkeiten zurück. Daher werden in diesem Konzept einer demokratischen, zentral-dezentral geplanten Wirtschaft kybernetische Ansätze und Methoden aus der Nachhaltigkeits- und Umweltsystemforschung integriert. Das Ziel dieser Kombination aus zentralen Planungselementen sowie dezentralen Regelungs- und Vernetzungstechniken relativ autonom agierender Unternehmen ist, die gesellschaftlichen Bedürfnisse innerhalb planetarer Grenzen zu befriedigen.
Das notwendige Ende der (Lohn-)Arbeit
Authors: Sutterlütti Simon
Published: May 2024

Während die meisten Modelle demokratischer Planung auf Lohnarbeit basieren, argumentiere ich, dass die zentrale Lehre aus der Planwirtschaft des 20. Jahrhunderts sein muss, die Lohnarbeit abzuschaffen. Ich zeige, wie das Fortbestehen der Lohnarbeit die Ineffizienz und Irrationalität des Realsozialismus erklärt und wie sie die Planung nach den Modellen des Cybersozialismus von Cockshott und Cottrell und der ausgehandelten Koordination von Devine untergräbt. Schließlich ist eine ökologische Gesellschaft nicht mit der Fixierung der Lohnarbeit auf den Konsum vereinbar und Feminismus nicht mit der Abwertung der Sorgearbeit, die der Lohnarbeit innewohnt.
An Assessment of Invitro Anti-Alzheimer Activity of Ammania Bacciferra Linn.
Authors: Maskwade Rahul , Daniel Kratika , Jain Sachin K , Vengurlekar Sudha
Published: May 2024

Neurodegenerative disorders are characterized by the progressive and irreversible loss of neurons from specific brain areas. Alzheimer's disease (AD), where loss of hippocampal and cortical neurons impairs memory and cognitive function. From the literature review it was revealed that Ammania bacciferra linn. possess good antioxidant activity because of its active constituents and anti-oxidant may treat some neurodegenerative disorders. The main objective of this work is to identify the Alzheimer activity of Ammania bacciferra linn.  Invitro activity was performed by Ellman method and IC50 Value was found to be 315 µg/mL Further extract was subjected for in vivo activity.
Keywords: Neurodegenerative disorders, neurons, Alzheimer's diseases. Memory enhancer.
Digital twins approach proposition for 5G/6G
Authors: Rhazal Oumaima El , Mazri Tomader
Published: May 2024

In order to step toward the next decade with steady pace in terms of mobile networks we need to admit that the advanced technologies enabled in the last decade by 5G mobile networks produced more dimensions for totally new high-performance technologies for the next generation. Truly immersive extended Reality XR, high fidelity mobile hologram and digital replica. The usage of such technologies cannot be achieved only by actual 5G mobile networks. This is because of various problems such as capacity and data rates, but most importantly network coverage, which is one of the challenges mobile networks will be facing in the next few years. In this paper, we will discuss specifically coverage challenges in mobile networks, in addition to the digital twin concept as an important concept in 6G mobile networks, and we will finally propose an approach to deal with network coverage problems based on the 6G service digital twin.
Utilizing Advanced Group Search Optimization (AGSO) methodology for resource optimization in cloud computing
Authors: P Ajay.
Published: May 2024

The escalating demand for resources within cloud data centers has accentuated the critical need for robust resource selection strategies implemented by customers. The inefficiencies prevalent in current resource utilization underscore the urgency of addressing this complex challenge. While metaheuristics, in comparison to traditional heuristics, showcase superior capabilities in efficiently scheduling large requests, their potential in selecting customer services can be further augmented by mitigating issues related to slow convergence speed and achieving a more equitable balance between local and global search. The overarching goal of the cloud computing platform is to furnish users with optimal services, prioritizing privacy and confidentiality. Leveraging cloud computing has proven to be instrumental in profit maximization for company executives. In the intricate landscape of cloud computing environments, workflow scheduling algorithms play a pivotal role in optimizing the intricate scheduling processes. This research endeavors to introduce the novel Adaptive Group Search Optimization (AGSO) method, aiming to establish its significance in comparison to widely-used algorithms such as Particle Swarm Optimization (PSO), Genetic Algorithms (GA), Bat Algorithm (BA), Firefly Algorithm (FA), Gravitational Search Algorithm (GSA), and Group Search Optimization (GSO) in the dynamic realm of optimizing resource selection for cloud services. AGSO, an innovative approach, seeks to address and alleviate the inherent limitations observed in existing metaheuristics, offering improvements in convergence speed and striking a refined balance in the exploration-exploitation tradeoff.
Examining school leaders’ perceptions of school readiness for data-driven leadership in the UAE: A mixed-methods approach
Authors: Hamash Mahmoud , Ghreir Hanan , Mohamed Hasnah
Published: May 2024

A growing demand for data-driven leadership (DDL) has emerged in the United Arab Emirates (UAE). Despite the use of implementation frameworks to guide DDL implementation, there is a lack of application of this concept in the context of UAE schools. This study aims to evaluate the readiness of public schools in the Western region, specifically cycle two and three, for DDL implementation. Using an exploratory sequential mixed-methods design based on the active implementation framework (AIF) drivers, the researcher conducted a qualitative scoping review of sixty-three literature sources and a quantitative survey of sixteen school principals from nineteen schools, selected through simple random sampling. Descriptive analysis and thematic analysis were performed to analyze the collected data. Findings suggest that organizational drivers receive greater emphasis in DDL readiness compared to competency drivers among school principals. However, the overall readiness for DDL remains uncertain, with ratings for this driver falling between the highest and middle-scoring categories. The school principals have identified competency, organizational, and technical leadership as essential drivers for successful DDL implementation in their schools. Further research is recommended to examine the role of adaptive leadership in DDL implementation. Overall, this study offers valuable insights into DDL implementation in Western region public schools and underscores the significance of AIF drivers in achieving successful DDL implementation.
Adaptive Threshold Fuzzy C-Means (ATFCM) VMmigration and resource optimization based dynamic scheduling for edge-cloud computing environments
Authors: Supriya S. , Dhanalakshmi K.
Published: May 2024

The method of delivery of information technology services has changed according to cloud computing. The latest generation of IoT applications benefits from low latency response offered by edge-cloud computing architecture. The migration procedure suffers when there is insufficient network capacity available. This further increases the difficulty of scheduling and resource monitoring. In this study, (1) Average Migration Time (AMT), Average Energy Consumption (AEC), Average Response Time (ART), and Average Service Level Agreement Violations (SLAV) evaluation parameters are minimised using Mutation Donkey and Smuggler Optimisation (MDSO). The amount of load that they can manage, data centre servers are categorised into four groups using Adaptive Threshold Fuzzy C-Means (ATFCM) clustering: extremely low load, mild load, medium load, maximum load. ATFCM moves thevirtual machine (VM) on maximum loaded or extremely low loaded hosts to very lowly loaded hosts. Utilising host information from Resource Monitoring Service (RMS), Residual Recurrent Neural Network (R2N2). Asynchronous advantage actor critical (A3C) learning is acknowledged for its ability to swiftly adapt to dynamic settings with fewer data, whereas R2N2 for rapid updating of model parameters. When contrasted to modern methods, trials done on practical applications data sets in areas of energy usage, SLA, response time, and running costs.
Deep neural network-driven Nitrogen fertilizer recommendation: A machine learning-based method for paddy soil and crop analysis using leaf imaging
Authors: Kalyani N. Lakshmi , Kolla Bhanu Prakash
Published: May 2024

This paper discusses a novel Machine Learning (ML) algorithm that leverages leaf images from rice crops to accurately determine soil nitrogen levels, aiming to optimize fertilizer usage. Utilizing the OpenCV package for image enhancement under controlled lighting, the model employs linear regression to establish a quantifiable correlation between leaf color and soil nitrogen content, achieving a prediction accuracy of [specific accuracy percentage or metric]. Unlike traditional methods, which are often costly and time-consuming without considering dynamic agricultural factors like crop variety and soil quality, our approach proposes a real-time, cost-effective solution. This research not only demonstrates the potential to increase agricultural sustainability and yield through precise fertilizer application but also paves the way for future research encompassing a broader spectrum of crops and soil properties. The proposed system provides farmers with an intuitive digital platform for nitrogen level assessment, facilitating targeted fertilizer application. By integrating camera-assisted soil health evaluation, the program promotes environmentally sustainable farming practices. Our findings indicate that ML-guided nitrogen fertilization can significantly enhance resource utilization efficiency, supporting the increasing global food demand. The implementation of this ML algorithm has shown to improve fertilizer application recommendations by with an accuracy of 80 percentage and low R2, RMSE and MAE Values, thereby reducing environmental impact and supporting sustainable agricultural development.
Machine learning-based smart agricultural practices to assess soil fertility and nutrient dynamics
Authors: Kalyani N. Lakshmi , Kolla Bhanu Prakash
Published: May 2024

This research utilises machine learning (ML) to improve agricultural precision by forecasting soil characteristics levels using environmental data. A dataset that comprised additional information on temperature, humidity, soil moisture, nitrogen (N), phosphorous (P), and potassium (K) values was used to create models that proposed recommendations for adequate fertilizer application. The performance of models was assessed utilizing R-squared, Adjusted R-squared, mean absolute error (MAE), and mean squared error (MSE). The random forest (RF) model was more accurate than others, showing the lowest MSE for P (mg/kg) and competitive MAE for other characteristics. Gradient boosting models had higher errors and negative R-squared values, suggesting they didn’t fit the data, even though the results were close in performance. Linear regression proved to be reliable with the lowest MAE for N (mg/kg) and K (mg/kg) and the most significant R-squared values for P (mg/kg), showing its persuasiveness in accurately forecasting these characteristic levels despite its simplicity. The research leverages machine learning to precisely predict soil nutrients for smarter farming, with the random forest model providing superior accuracy over other techniques. These advancements highlight the importance of continuous innovation in environmental monitoring for sustainable agriculture.
Construction and Analysis of Immune Infiltration-Related ceRNA Network for Coronary Artery Disease
Authors: Chen Yihan , Liu Yuhang , Pu Jiaang , Cheng Jingsong , Song Anchao
Published: May 2024

This study investigated the role of ceRNA networks in coronary atherosclerosis, focusing on genes co-expression with immune cells. Data from the GEO database was used for GO/KEGG analysis of DE-mRNA, and ceRNA networks were constructed via Cytoscape using predicted lncRNA-miRNA-mRNA regulatory pairs. The CIBERSORT algorithm assessed immune cell proportions, revealing significant correlations between specific immune cells and hub mRNAs in the ceRNA network, particularly involving ESR1. The findings offer new insights into the molecular mechanisms of atherosclerosis and potential diagnostic and therapeutic targets.
Advances in Peripheral Blood Parameter Ratios in IBD
Authors: Chen Shu , Liao Pu
Published: May 2024

In recent years, studies have found that the ratio of neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, lymphocyte to monocyte ratio, CRP to albumin ratio, and other comprehensive indicators derived from peripheral blood parameters are valuable for the evaluation and differential diagnosis of disease activity. This article provides an overview of the use of ratios of several peripheral blood parameters in the diagnosis of inflammatory bowel disease activity.
Pemodelan Regresi Semiparametrik Spline pada Persentase Penduduk Miskin di Provinsi Kalimantan Selatan
Authors: Muhammad Munawwir  , Farid Fuad Muhajirin , Rahkmawati Yeni
Published: May 2024

Kemiskinan merupakan salah satu tantangan pembangunan yang belum terselesaikan di seluruh dunia, termasuk Indonesia. Salah satu wilayah di Indonesia yang persentase penduduk miskinnya berada di bawah tingkat persentase penduduk miskin secara nasional adalah Provinsi Kalimantan Selatan. Persentase penduduk miskin di Kalimantan Selatan dari Tahun 2000 hingga Maret 2022 selalu berada di bawah tingkat nasional. Perekonomian di Kalimantan Selatan didominasi oleh sektor pertambangan dan penggalian yang kurang berkelanjutan sehingga memungkinkan persentase penduduk miskin di Kalimantan Selatan rentan mengalami kenaikan. Oleh sebab itu, pemodelan persentase penduduk miskin serta variabel lain yang diamati perlu dilakukan. Penelitian ini bertujuan untuk menjelaskan bagaimana pemodelan persentase penduduk miskin berdasarkan variabel yang diamati diasumsikan mempengaruhinya. Untuk mencapai tujuan tersebut, teknik yang diterapkan dalam memodelkan persentase penduduk miskin adalah regresi  semiparametrik spline. Hasil dari penggunaan regresi spline semiparametrik ini didapatkan bahwa parameter model tidak signifikan sehingga membutuhkan pemodelan terpisah untuk regresi parametrik dan nonparametrik. Berdasarkan pemisahan model tersebut didapatkan bahwa menggunakan regresi linier berganda terdapat 2 variabel prediktor yang berpengaruh, yaitu pengeluaran per kapita yang disesuaikan dan persentase rumah tangga yang menggunakan air layak.
НАПРЯМКИ МІЖНАРОДНОГО СПІВРОБІТНИЦТВА У СФЕРІ ФІЗИЧНОЇ КУЛЬТУРИ ТА СПОРТУ
Authors: КОБКО Є.В.
Published: May 2024

У статті наголошено на тому, що сучасні умови в спортивній індустрії породжують нові напрямки міжнародного співробітництва у сфері фізичної культури та спорту, під якими визначено стійкі у часі та просторі, складні за своєю організацією, тривалі, масштабні за колом учасників, територією їх проведення та охопленням зацікавлених сторін та об’єднані за тематикою та спрямованістю комплекси міжнародних спортивних заходів, міжнародних спортивних змагань, послуг у сфері фізичної культури і спорту, міжнародних спортивних змагань (Олімпійські, Паралімпійські, Дефлімпійські ігри тощо), а також міжнародних проєктів у сфері фізичної культури та спорту. Виокремлено такі напрямки міжнародного співробітництва у сфері фізичної культури та спорту, як міжнародне співробітництво в умовах воєнного стану, що охоплює реалізацію міжнародних програм, спрямованих на підтримку спортсменів, їх сімей, запровадження за підтримки провідних міжнародних організацій стипендій для спортсменів, які вимушені займатися спортом в умовах воєнного стану, міжнародних грантів на реалізацію соціальних проєктів, спрямованих на забезпечення гідного рівня життя спортсменів, повноцінне проведення тренувань у складних безпекових умовах; міжнародне співробітництво у сфері бізнесу в спортивній індустрії; міжнародне співробітництво в ході забезпечення гендерної рівності в міжнародному просторі; розвиток міст і регіонів у ході проведення міжнародних спортивних заходів; спортивний брендинг у міжнародному контексті.
ІННОВАЦІЇ В ЗАСОБАХ РОЗМІЩЕННЯ – ПРОЕКТ РОЗШИРЕННЯ ПОСЛУГ В ЕКО-ГОТЕЛІ
Authors: Дроботова Марина , Красномовець Вікторія
Published: May 2024

Стаття розглядає впровадження інноваційних послуг в засобах розміщення з екологічною концепцією. У відповідності до концепції сталого розвитку туризму екологічні практики та «екологізація» діяльності готелів є одним з інноваційних трендів. Інновації в засобах розміщення найчастіше пов’язують з технологічним і маркетинговим напрямками. Дослідження інновацій в еко-готелях свідчить, що концепція екологічності підтримується зменшенням відходів і економією витрат і забезпечується використанням нового обладнання та устаткування, або новими технологіями технічного спрямування. Пошук і впровадження інновацій іншого спрямування в еко-готелях дозволять їм підвищувати рівень конкурентоспроможності на туристичному ринку. Інноваційні додаткові послуги «еко-розваги» посилять «виховну» складову еко-готелів і створять розважальну складову, яка є бажаною для сучасних споживачів. Обґрунтування концепції проекту «Еко-розваги» для еко-готелю «Villa Pinia» доводить можливості створення інноваційних послуг і доцільність їх впровадження в діяльність засобу розміщення.
ВПЛИВ РІВНЯ ЗАЙНЯТОСТІ НАСЕЛЕННЯ НА НАЦІОНАЛЬНУ БЕЗПЕКУ УКРАЇНИ
Authors: Саричев Володимир , Довженко Станіслав
Published: May 2024

Національна безпека як стан правової упорядкованості життя суспільства і держави виступає базовим фактором самозбереження вітчизняного суспільства. Особливого значення набуває забезпечення національної безпеки в умовах збройної агресії Російської Федерації, адже нинішня війна є однією із найбільш кровопролитних збройних конфліктів на європейському континенті за останні десятиліття. В умовах критичної загрози тотальної розрухи національної безпеки, постає питання оцінки рівня впливу різних факторів на неї, на шляху до визначення найбільш загрозливих з них. Аналіз рівня зайнятості в країні ще у довоєнний час вважався важливим елементом забезпечення не лише національної безпеки, а й життєздатності країни як такої. Війна і демографічні потрясіння, які вона зумовила змусили принципово по новому досліджувати взаємозв’язки між рівнем зайнятості та забезпеченням національної безпеки, адже саме економічно активне населення стане тою базою, яка слугуватиме основою для відбудови країни після війни. У дослідженні визначено сутність національної безпеки, а також складові якими вона визначається. Встановлено місце зайнятості в системі забезпечення національної безпеки. Проаналізовано напрямки впливу рівня зайнятості на економічну та соціальну безпеку. Систематизовано соціально-економічні наслідки високого рівня безробіття в країні. Враховуючи той факт, що саме бізнес виступає основним джерелом робочих місць проаналізовано тенденції зміни Індексу ділової активності в Україні за час війни. Досліджено наявне співвідношення між кількістю підприємств, які припини роботу від початку війни та тих, що розпочали свою діяльність. Графічно представлено динаміку зміни рівня безробіття в Україні за 2018-2023 роки. Проведено паралель між офіційною та реальною статистикою безробітних. Визначено структуру попиту на трудові ресурси в розрізі вакансій. Проаналізовано недоліки вітчизняного законодавства в частині регулювання трудових відносин між працівниками та роботодавцями. Визначено подальші перспективи впливу рівня зайнятості населення на національну безпеку.
ВИКОРИСТАННЯ АНАЛІТИКИ ДАНИХ ДЛЯ УПРАВЛІННЯ ФІНАНСОВИМИ ПРОЦЕСАМИ В ЦИФРОВОМУ СЕРЕДОВИЩІ УКРАЇНИ
Authors: Супруненко Світлана , Чорновол Алла , Гаврилюк Віта
Published: May 2024

Стаття присвячена дослідженню особливостей використання аналітики даних для управління фінансовими процесами в цифровому середовищі України. Методологічну основу дослідження у цій роботі складають методи збирання та порівняння інформації, а також аналізу, синтезу та узагальнення. Відмічено, що Big Data відкривають надзвичайні можливості для поглиблення нашого розуміння людської поведінки та розвитку соціальних процесів способом, який раніше вважався неможливим. Зауважено, що однією з головних переваг Big Data як ресурсу є велика кількість інформації, що дає змогу проводити більш детальний та комплексний аналіз, знаходити раніше невидимі зв’язки та закономірності, виявляти тенденції та прогнозувати результати на основі більш об’єктивної інформації. Також зазначено, що поява Big Data революціонізувала практику управління інформацією на підприємствах. Величезна кількість і різноманітність створюваних даних, включаючи як структуровану, так і неструктуровану інформацію з кількох джерел, занадто велика для традиційних баз даних і методів обробки. Експоненційне зростання інформації породило нагальну потребу в рішеннях для оптимізації, які дозволять підприємствам швидко отримувати корисну інформацію. У висновку зазначено, що використання аналітики даних для управління фінансовими процесами в цифровому середовищі України має великий потенціал для підвищення ефективності та конкурентоспроможності вітчизняних підприємств. Цей підхід дає змогу здійснювати прогнозування та моделювання фінансових показників, оптимізувати ризики та витрати, управляти ліквідністю та приймати обґрунтовані стратегічні рішення. Аналітика даних допомагає ідентифікувати потенційні ризики та забезпечує точність показників та швидкість складання фінансової звітності, що є критичним у цифровій епосі.
MANAGEMENT OF DECARBONIZATION OF THE ECONOMY: SMALL MODULAR REACTORS AND ELECTRIC VEHICLES – KEY SUCCESS FACTORS
Authors: Харін Сергій , Папіж Юлія , Коровін Сергій
Published: May 2024

The intensity of climate change on the planet under the influence of human economic activity is analyzed. 2023, according to experts, was the hottest year in the entire history of climate observations. The highest content of harmful gases in the atmosphere was also noted. Climate change causes great economic damage to humanity. In March 2024, heads of state and government and other high-ranking representatives of 32 countries gathered in Brussels for the inaugural Nuclear Energy Summit. The Summit supported global efforts to develop nuclear energy in areas such as investment, innovation, and training to address climate change and improve the energy security of the global economy. An analysis of the system of elements of economic decarbonization, their current and future value, problems of development of such elements was carried out, which showed the most important importance in the near future for the global development of small modular reactors and offshore wind energy in combination with mass production and use of electric vehicles. The key to decarbonizing the economy is effective management.
Аналіз остеоінтеграції імплантатів у пацієнтів з дефектами верхніх зубних рядів, мешканців Закарпатської області
Authors: Клітинська Оксана Василівна , Дунець Роман Орестович
Published: May 2024

Мета дослідження. Визначенні ступеню та якості остеоінтеграції імплантатів, встанолених на верхній щелепі у пацієнтів середнього віку, мешканців Закараптської області. Матеріали і методи. Досліджували 250 осіб середнього віку, мешканців Закарпатської області з дефектами верхніх зубних рядів. Оцінку остеоінтеграції 450 імплантатів, встановлених на верхній щелепі, здійснювалася з виористанням апарату «Periotest M» та комп'ютерної томографії. Якісна характеристика кісткової тканини навколо ВДІ оцінювалася згідно рекомендацій Linkevicius T (2020); Кількісний аналіз результатів рентгенологічного обстеження оцінювали шляхом вимірювання меж рівня кісткової тканини, кількісно оцінюючи якісні реакції кісткової тканини. Математичний аналіз та перевірка достовірності результатів, а також обрахунок величин середньоарифметичних та середньоквадратичних похибок здійснювався на основі програмного забезпечення «Statistica 6.0». Результати та їх обговорення. Через 36 місяців показники рухомості відповідали 0 ступеню у 85,9% випадках, рухомість I ступеня у 9,4% випадках, II ступеня у 4,7% випадків. При комплексному аналізі якісного стану кісткової тканини навколо імплантатів усіх груп встановлені позитивні реакції кісткової тканини, переважав стабільний рівень кістки у всіх груп у всі терміни спостереження (p>0,05), частота випадків прогресуючої резорбції не перевищувала 15%. Не досягнуто через 12 та 36 місяців навколо імплантатів у пацієнтів всіх груп вірогідної різниці між частотою випадків прогресуючої резорбції (p>0,05) та демінералізації (p>0,05). Висновки. Згідно отриманих результатів конусно-променевої комп’ютерної томографії через 6, 12 та 36 місяців після фіксації ортопедичних конструкції з опорою на внутрішньокісткові дентальні імплантати на верхній щелепі, встановлено відмінний вплив конструкційних особливостей на якісний та кількісний стан кісткової тканини навколо ВДІ.
Utilization of Asset Management in Infrastructure Development in Denpasar City
Authors: Bagus Kanaka Kusuma Ida , Ketut Agusintadewi Ni
Published: May 2024

Important infrastructure development is carried out to improve the welfare of the people in Denpasar City in various factors. It is necessary to carry out strategic asset planning in infrastructure development so that utilization is appropriate, directed and efficient. The presentation of the results of the analysis of this research data was carried out qualitatively due to research on objects with adjustments to the conditions of events in the present. The results of this study describe that strategic planning of assets in Denpasar City is carried out starting from the stages of identifying assets, evaluating asset conditions, determining needs, strategic planning, setting policy standards, and preparing budgets. These stages are carried out so that infrastructure is built in accordance with the feasibility and needs required for certain communities and organizations.
Type on the Sound Absorption Coefficient Chicken Feather Composite
Authors: Artayani Meldawati , Kusno Asniawaty , Jamala Nurul , Mulyadi Rosady
Published: May 2024

the potential to be a composite reinforcement and increase sound absorption through the Chemical Pulping process. This study aims to investigate the alleged influence of the use of matrix type on the strength of sound absorption in chicken feather fiber composites. The research method used is experimental research with the manufacture of composite specimens that vary the volume fraction of composite fibers with various types of matrices. Sound absorption testing using impedance tubes. Data analysis techniques in this study use descriptive data analysis. The results of this test show the effect of using matrix type on increasing the absorption coefficient of SBA composites. The maximum absorption coefficient is found in the SBA-K composite (Chicken Feathers – Kanji).
Analysis of Road Damage Using Road Condition Survey Data and Handling Designs (Case Study of the Pasangkayu - Baras Section)
Authors: Setiawan Arman , Putu Artawan I , Yuniarto Eko , Bachtiar Erniati , Yudha Alam Gigih
Published: May 2024

Inventory data and road conditions are the main road network data for measuring and monitoring road network conditions, making predictions of future conditions, and assisting in the strategic decision making process in road network management. This data is also the main data in general road network planning, programming and budgeting, research to evaluate the condition of road pavement to evaluate the condition of road pavement according to the level of damage so that later the budget can be determined. Data collection on road conditions uses a survey vehicle called Mata Garuda (MAGARU). The data obtained from MAGARU is road network data/RNI, pavement condition data/PCI and road unevenness data/IRI. Testing using the Benkelman Beam (BB) tool at 100 m intervals. Collecting traffic enumeration data uses CCTV equipment installed on the road section with an observation period of 7 x 24 hours. The results of the analysis showed that the proposed type of treatment was Preventive with an average value of 3.7, Minor Rehabilitation with an average value of 5.4 and Major Rehabilitation with a value of 8.8. For the PCI survey analysis, Preventive Treatment was obtained with an average value of 87.5, Minor Rehab with an average value of 65.3 and Major Rehab with an average value of 27.5. For the analysis of the deflection survey, a value of > 0.4 was obtained so the treatment was Major Rehab. The CESA4 value is 4,059 x 106 and the CESA5 value is 5,546 x 106. The results of pavement calculations show that Preventive Treatment uses Thin Layer Asphalt Concrete (LTBA), Minor Rehab uses Asphalt Concrete Wearing Course (AC-WC), Major Rehab uses Asphalt Concrete Wearing Course ( AC-WC), Asphalt Concrete Binder Course (AC-BC) and Asphalt Concrete Binder Course Leveling (AC-BC Lev).
Traffic Characteristics on Soekarno Hatta Road After the Operation of Kopo Flyover, Bandung City
Authors: Akbardin Juang , Kurnia Mulyawanti Widia , Mohamad Ma’soem Dadang
Published: May 2024

Bandung is one of the major cities in Indonesia located in West Java Province. One of the roads that is often traveled by vehicles in Bandung is Soekarno Hatta road, which is the longest road in Bandung that cuts from Cibiru to Sudirman road. The emergence of congestion on the Soekarno Hatta road in Bandung City is a problem that is often faced by motorists. This is caused by excessive mobility and declining road facilities. The purpose of this study is to analyze the characteristics of traffic flow on Soekarno Hatta Road after the operation of Kopo Flyover, precisely above and below Kopo Flyover, Bandung City. From the results of data analysis, it can be seen that the largest vehicle volume occurred at Point III on Thursday which amounted to 10954.40 skr/hour, the largest speed occurred at Point I on Sunday at 59.10 km/hour and the densest density occurred at Point III on Tuesday at 306.69 skr/km.  Traffic performance in terms of degree of saturation (D), at Point I obtained 0.90926 has level of service E, at Point II obtained 0.71992 has level of service C and at Point III obtained 0.93963 has level of service E.
ẢNH HƯỞNG CỦA THÀNH PHẦN CÔNG THỨC TRÊN TÍNH CHẤT HẠT VÀ VIÊN NÉN CHỨA MELOXICAM HÀM LƯỢNG THẤP ĐIỀU CHẾ BẰNG KỸ THUẬT TẠO HẠT TẦNG SÔI
Authors: Lê Minh Quân , Đặng Lưu Việt Quý , Nguyễn Thị Anh Thư , Nguyễn Công Phi , Lê Quan Nghiệm
Published: May 2024

Đặt vấn đề: Tạo hạt tầng sôi được áp dụng rộng rãi trong sản xuất dược phẩm. Nghiên cứu nhằm làm rõ ảnh hưởng của công thức trên tính chất và sự phân tán dược chất trong hạt và viên chứa dược chất hàm lượng thấp.

Đối tượng và phương pháp nghiên cứu: Meloxicam là dược chất mô hình. Thiết kế thực nghiệm để xác định ảnh hưởng của loại tá dược độn; loại, tỷ lệ, cách thức phối tá dược dính trên lưu tính, tính chịu nén, tỷ số hạt/bột và độ đồng đều meloxicam trong hạt và viên.

Kết quả: Bốn yếu tố công thức ảnh hưởng riêng phần đến lưu tính hạt và phân bố meloxicam, ảnh hưởng đồng thời trên tỷ số hạt/bột. Hệ số chịu nén không chịu ảnh hưởng của tỷ lệ và cách thức phối tá dược dính. Công thức chứa meloxicam (2%), lactose monohydrat (91,5%), PVP K90 (5,5%) và magnesi stearat (1%) là tối ưu để tạo hạt có tỷ số Hausner 1,12; hệ số chịu nén 15,80; tỷ lệ hạt/bột 1,44, và đồng đều hàm lượng dược chất (RSD hạt và viên là 1,06% và 1,76%). Quá trình hình thành hạt cũng được làm rõ.

Kết luận: Hạt và viên meloxicam hàm lượng thấp chịu ảnh hưởng mạnh của tá dược độn; loại, tỷ lệ và cách thức phối tá dược dính. Dữ liệu thu được gợi ý xu hướng ảnh hưởng để tham khảo trong xây dựng công thức và quy trình sản xuất dược phẩm.
Institutional Enhancement through Green School Program in Order to Achieving “Sekolah Adiwiyata”
Authors: Kuswati Rini , Ananda Choirunnisa Bella , Arqy Ahmadi Mirzam , Idris Abbas Novel , Waskito Jati , Achmad Nur , Soepatini Soepatini , Irawati Zulfa
Published: May 2024

“Sekolah Adiwiyata” or green school, is a program implemented in Indonesia as part of efforts to integrate environmental education and sustainability into the formal education system. Internalization and implementation are not limited to students alone but also involve teachers, parents, and other school community members. Additionally, the concept of green schools is internalized and implemented in the teaching curriculum. SD Muhammadiyah 24 Surakarta is one of the elementary schools that has begun implementing the green concept. However, in this case study, there are several issues in the implementation of the green concept in the school, such as readiness in terms of human resources, school management, and low information systems. In order to assist in resolving these issues, the P2AD Management team from UMS conducted institutional enhancement at SD Muhammadiyah 24 Surakarta through several work programs of community development such as green school workshops, assistance in designing the school website, and providing three-color waste bins (organic, inorganic, hazardous) along with explanations on their use. The method used in implementing the service program includes preparation and coordination, program implementation, evaluation, and monitoring.