bluuebunny/crossref_metadata_2025 huggingface dataset:
Analytic Theory of Seven Classes of Fractional Vibrations Based on Elementary Functions: A Tutorial Review
Authors: Li Ming
Published: September 2024

This paper conducts a tutorial review of the analytic theory of seven classes of fractional vibrations based on elementary functions. We discuss the classification of seven classes of fractional vibrations and introduce the problem statements. Then, the analytic theory of class VI fractional vibrators is given. The analytic theories of fractional vibrators from class I to class V and class VII are, respectively, represented. Furthermore, seven analytic expressions of frequency bandwidth of seven classes of fractional vibrators are newly introduced in this paper. Four analytic expressions of sinusoidal responses to fractional vibrators from class IV to VII by using elementary functions are also newly reported in this paper. The analytical expressions of responses (free, impulse, step, and sinusoidal) are first reported in this research. We dissert three applications of the analytic theory of fractional vibrations: (1) analytical expression of the forced response to a damped multi-fractional Euler–Bernoulli beam; (2) analytical expressions of power spectrum density (PSD) and cross-PSD responses to seven classes of fractional vibrators under the excitation with the Pierson and Moskowitz spectrum, which are newly introduced in this paper; and (3) a mathematical explanation of the Rayleigh damping assumption.
Different Cytotoxicity Induced by Hexabromocyclododecanes on Mouse Neuroblastoma N2a Cells via Oxidative Stress and Mitochondrial Apoptotic Pathway
Authors: Wan Keyan , Wu Dongting , Xie Guangshan , Li Yunxiu , Zhang Jianqing
Published: September 2024

Hexabromocyclododecane (HBCD) is widely used in polystyrene foams, building materials, and electrical equipment as a brominated flame retardant (BFR) and persists in the environment and human body matrix. It has attracted increased attention since its neuroendocrine disorder effects have been observed in humans and animals. However, studies evaluating the neurotoxicity of HBCD diastereoisomers and the potential mechanisms involved are still limited. In this study, we compared the cytotoxicity induced by the three HBCD diastereoisomers (i.e., α-, β-, and γ-HBCD) in N2a cells and further investigated the underlying molecular mechanism. Our results showed that HBCD diastereoisomers decreased cell viability in the order of β-HBCD > α-HBCD > γ-HBCD. Moreover, α-HBCD and β-HBCD exposure led to different degrees of cell cycle disruption and oxidative stress of N2a cells, implying that oxidative stress-mediated differential cytotoxicity of HBCD diastereoisomers. The expressions of caspases and Bcl-2 were differentially regulated by α-HBCD and β-HBCD, suggesting that the mitochondrial apoptosis pathway may be critical in HBCDs-mediated N2a cell toxicity. Therefore, our studies provided novel evidence for the underlying mechanisms of the distinct cytotoxicity of HBCD diastereoisomers.
Post-Pandemic Maternity Care Planning for Vaccination: A Qualitative Study of the Experiences of Women, Partners, Health Care Professionals, and Policy Makers in the United Kingdom
Authors: Dasgupta Tisha , Boulding Harriet , Easter Abigail , Sutedja Tania , Khalil Asma , Mistry Hiten D. , Horgan Gillian , Van Citters Aricca D. , Nelson Eugene C. , von Dadelszen Peter , Duncan Emma L. ,   The RESILIENT Study Group, Silverio Sergio A. , Magee Laura A.
Published: September 2024

Maternal vaccination during pregnancy, in general and against COVID-19 infection, offers protection to both mother and baby, but uptake remains suboptimal. This study aimed to explore the perceptions regarding COVID-19 vaccination in pregnancy, particularly for marginalised populations and those living with social or medical complexity. A total of 96 semi-structured in-depth interviews were conducted with 40 women, 15 partners, 21 HCPs, and 20 policy makers, across all four nations of the United Kingdom (UK), discussing their lived experience of utilising, delivering, or developing policy for COVID-19 vaccination in pregnancy during the pandemic. Three themes were derived: (1) historical and social context, (2) communication of information and guidance, and (3) appraisal and action. Together these captured the participants’ legacy of mistrust in drugs during pregnancy; prior positive experiences; concerns about missing information, conflicting information, or false information about COVID-19 vaccines; and confusing guidance for pregnant women. The final theme describes the participants’ behaviour and actions undertaken consequent to their experiences and the available information. The findings suggest efforts to improve COVID-19 vaccination in pregnancy may be best focused on personalised communication of information. A trusting relationship and prior positive experiences with other vaccines, both in and outside of pregnancy, positively influenced perceptions of COVID-19 vaccination.
Recent Occurrence, Diversity, and Candidate Vaccine Virus Selection for Pandemic H5N1: Alert Is in the Air
Authors: Medina-Armenteros Yordanka , Cajado-Carvalho Daniela , das Neves Oliveira Ricardo , Apetito Akamatsu Milena , Lee Ho Paulo
Published: September 2024

The prevalence of the highly pathogenic avian influenza virus H5N1 in wild birds that migrate all over the world has resulted in the dissemination of this virus across Asia, Europe, Africa, North and South America, the Arctic continent, and Antarctica. So far, H5N1 clade 2.3.4.4.b has reached an almost global distribution, with the exception of Australia and New Zealand for autochthonous cases. H5N1 clade 2.3.4.4.b, derived from the broad-host-range A/Goose/Guangdong/1/96 (H5N1) lineage, has evolved, adapted, and spread to species other than birds, with potential mammal-to-mammal transmission. Many public health agencies consider H5N1 influenza a real pandemic threat. In this sense, we analyzed H5N1 hemagglutinin sequences from recent outbreaks in animals, clinical samples, antigenic prototypes of candidate vaccine viruses, and licensed human vaccines for H5N1 with the aim of shedding light on the development of an H5N1 vaccine suitable for a pandemic response, should one occur in the near future.
Leveraging the Voluntary Carbon Market to Improve Water Resilience in the Colorado and Mississippi River Basins
Authors: Ecklu John , Johnson Alex , Landon Tessa , Thomas Evan
Published: September 2024

The Colorado and Mississippi River basins are crucial for water supply, agriculture, and ecological stability in the U.S., yet climate change, water management practices, and energy sector demands pose significant challenges to their sustainability. This paper highlights the potential of leveraging the Voluntary Carbon Market (VCM) to address these challenges by creating new revenue streams and incentivizing sustainable water management practices. It provides high-level estimates by extrapolating from existing literature. The paper finds that water projects in these basins could generate over 45 million carbon credits annually, potentially attracting around USD 4.5 billion in investments over the next decade. However, challenges such as high costs, complex regulations, and stakeholder coordination must be addressed. The paper also identifies opportunities for advancing water resiliency projects, including increasing public awareness, engaging corporations, and utilizing innovative financing mechanisms. Recommendations include promoting the VCM–water relationship, encouraging methodology innovation, developing pilot programs, investing in digital monitoring technologies, and conducting localized analysis to optimize carbon credit potential in water management. In conclusion, this paper quantifies the potential of water projects to generate carbon credits and indicates that integrating carbon markets with water management strategies can significantly contribute to global climate goals and improve water resilience in these critical regions.
Empirical Bayesian Kriging, a Robust Method for Spatial Data Interpolation of a Large Groundwater Quality Dataset from the Western Netherlands
Authors: Zaresefat Mojtaba , Derakhshani Reza , Griffioen Jasper
Published: September 2024

No single spatial interpolation method reigns supreme for modelling the precise spatial distribution of groundwater quality data. This study addresses this challenge by evaluating and comparing several commonly used geostatistical methods: Local Polynomial Interpolation (LPI), Ordinary Kriging (OK), Simple Kriging (SK), Universal Kriging (UK), and Empirical Bayesian Kriging (EBK). We applied these methods to a vast dataset of 3033 groundwater records encompassing a substantial area (11,100 km2) in the coastal lowlands of the western Netherlands. To our knowledge, no prior research has investigated these interpolation methods in this specific hydrogeological setting, exhibiting a range of groundwater qualities, from fresh to saline, often anoxic, with high natural concentrations of PO4 and NH4. The prediction performance of the interpolation methods was assessed through statistical indicators such as root means square error. The findings indicated that EBK outperforms the other geostatistical methods in forecasting groundwater quality for the five variables considered: Cl, SO4, Fe, PO4, and NH4. In contrast, SK performed worst for the species except for SO4. We recommend not using SK to interpolate groundwater quality species unless the data exhibit low spatial variation, high sample density, or evenly distributed sampling.
Evolution Characteristics of Heilongtan Spring Discharge and Its Response Law to Precipitation in Lijiang City, China
Authors: Sun Wenjie , Li Wenjie , Fang Jinxin , Yang Pinghong
Published: September 2024

The contradiction between water supply and spring preservation issues is becoming increasingly apparent as Lijiang City develops. An investigation into the dynamic variations in the discharge rate of Heilongtan Spring in Lijiang City and the response law between the water level of the spring and precipitation is crucial for safeguarding the landscape water of Heilongtan Spring. This study employed linear regression analysis, Mann–Kendall (MK) mutation test, wavelet analysis, and vector autoregression (VAR) to examine the fluctuating pattern of the Heilongtan Spring discharge and the response of the Heilongtan Spring water level to precipitation in Lijiang City. Furthermore, the study discussed the influence of human activities on the alteration of Heilongtan Spring. The results indicate that the mean discharge rate of Heilongtan Spring is 0.94 m3/s, with an annual variation of 0.05 m3/s. The time series analysis reveals that the variation pattern of Heilongtan Spring discharge aligns with the precipitation trend in Lijiang City. Nevertheless, there is a distinction between the timing of the Heilongtan Spring discharge station point and the precipitation mutation point in Lijiang City. The significant primary cycle of spring discharge change occurs every 18 months, with a cycle length of 12 months. The vector autoregression (VAR) model demonstrates a lagged relationship between the water level of Heilongtan Spring and the precipitation in Lijiang City. Specifically, the water level of Heilongtan Spring has a four-month lag response to precipitation variability in Lijiang City. The results can provide a beneficial reference for preserving spring water and managing regional water resources.
Research Regarding the Autochthonous Dissolved Organic Carbon to Recalcitrant Dissolved Organic Carbon Transformation Mechanism in a Typical Surface Karst River
Authors: Li Jiabin , Xiao Qiong , He Qiufang , Cheng Yurui , Liu Fang , Zhang Peiling , Liu Yifei , Yuan Daoxian , Yu Shi
Published: September 2024

Autochthonic recalcitrant organic carbon is the most stable component in karst aquatic systems. Still, the processes of its generation and transformation remain unclear, which hinders the study of the mechanisms and quantitative calculations of carbon sinks in karst aquatic systems. This study collected water samples from the Li River, a typical surface karst river in Southwest China. Through in situ microbial cultivation and the chromophoric dissolved organic matter (CDOM) spectrum, changes in organic carbon components and their contents during the transformation of autochthonic dissolved organic carbon (Auto-DOC) to autochthonic dissolved recalcitrant organic carbon (Auto-RDOC) were analyzed to investigate the inert transformation processes of endogenous organic carbon. This study found that microbial carbon pumps (MCPs) promote the tyrosine-like component condensed into microbial-derived fulvic and humic components via heterotrophic bacteria metabolism, forming Auto-RDOC. During the dry season, the high level of Auto-DOC provides abundant organic substrates for heterotrophic bacteria, resulting in significantly higher Auto-RDOC production compared to the rainy season. This study provides fundamental information on the formation mechanisms of Auto-DOC in karst aquatic systems, which contributes to the assessment of carbon sinks in karst aquatic systems.
Synergistic Enhancement of Oxytetracycline Hydrochloride Removal by UV/ZIF-67 (Co)-Activated Peroxymonosulfate
Authors: Luo Yiting , Liu Zhao , Ye Mingqiang , Zhou Yihui , Su Rongkui , Huang Shunhong , Chen Yonghua , Dai Xiangrong
Published: September 2024

This study developed a new system for removing antibiotics using UV/ZIF-67 (Co)-activated peroxymonosulfate. The presence of antibiotic organic pollutants in urban sewage presents a substantial challenge for sewage treatment technologies. Due to the persistent chemical stability of antibiotics, their low environmental concentrations, and their resistance to degradation, effectively removing residual antibiotics remains a significant issue in urban wastewater treatment. This study introduces an eco-friendly photocatalytic technology designed to enhance the removal of oxytetracycline (OTC) from municipal wastewater using a UV/ZIF-67 (Co)/PMS system. The results showed that compared with UV, UV/PMS, ZIF-67 (Co), ZIF-67 (Co)/PMS, and UV/ZIF-67 (Co) systems, the UV/ZIF-67 (Co)/PMS system had the highest OTC removal rate. When 10 mg ZIF-67 (Co) and 1 mM PMS were applied to 100 mL 30 mg/L OTC solution, the degradation efficiency reached 87.73% under 400 W ultraviolet light. Increasing the dosage of ZIF-67 (Co) and PMS can improve the removal rate of OTC, but the marginal benefit of additional dosage is reduced. The highest degradation efficiency was observed at weakly acidic pH, which may be due to potential damage to the internal structure of the catalyst and reduced performance under extreme pH conditions. The influence of chloride ions and nitrate ions on the reaction system is minimal, while bicarbonate ions exhibit a significant inhibitory effect on the removal of OTC. The UV/ZIF-67 (Co)/PMS system exhibits adaptability to various water sources, including tap water, Guitang River water, and pure water. The results of free radical identification indicate the presence of hydroxyl and sulfate groups in the UV/ZIF-67 (Co)/PMS system, both of which play important roles in the degradation of OTC. This study offers valuable insights and technical support for the green, efficient, and environmentally friendly removal of antibiotics from urban wastewater.
Sponge City Drainage System Prediction Based on Artificial Neural Networks: Taking SCRC System as Example
Authors: Ren Yazheng , Zhang Huiying , Gu Yongwan , Ju Shaohua , Zhang Miao , Wang Xinhua , Hu Chaozhong , Dan Cang , Cheng Yang , Fan Junnan , Li Xuelong
Published: September 2024

The concept of sponge cities is widely recognized, but there is still no research on what a new drainage system for sponge cities should look like. This study proposes a new drainage system for sponge cities, a sponge-type comprehensive pipe corridor rainwater chamber (SCRC) system, which combines a comprehensive pipe corridor with low-impact development measures (LIDs) into one system. The SCRC system is predicted by using a long- and short-term neural network to verify whether the neural network can be applied to the prediction of flooding in sponge cities. The results show that the SCRC system can effectively control sponge city flooding, where the surface runoff coefficient under different rainfall intensities (P = 1–10 yr) is between 0.273 and 0.44, the pipe overload time is between 0.11 and 3.929 h, and the node overflow volume is between 0 and 23.89 Mltr. The neural network has a high reliability in sponge city flood prediction, and the coefficients of determination R2 of the test set of PSO–LSTM prediction models are all above 0.95. This study may provide an idea for predicting flooding in sponge cities.
Biomonitoring of Waters and Tambacu (Colossoma macropomum × Piaractus mesopotamicus) from the Amazônia Legal, Brazil
Authors: Araújo Karuane Saturnino da Silva , Acioly Thiago Machado da Silva , Nascimento Ivaneide Oliveira , Costa Francisca Neide , Corrêa Fabiano , Gagneten Ana Maria , Viana Diego Carvalho
Published: September 2024

Fish farming is increasingly important globally and nationally, playing a crucial role in fish production for human consumption. Monitoring microbiological and chemical contaminants from water discharge is essential to mitigate the risk of contaminating water and fish for human consumption. This study analyzes the physicochemical and E. coli parameters of water and tambacu fish muscles (Colossoma macropomum × Piaractus mesopotamicus) in Western Maranhão, Brazil. It also includes a qualitative characterization of zooplankton in the ponds. Samples were collected from tambacu ponds in a dam system fed by natural watercourses from the Tocantins River tributaries, located at the connection of the Brazilian savanna and Amazon biomes. The physicochemical and E. coli parameters of water did not meet national standards. The zooplankton community included Rotifera, Cladocera, Copepoda, and Protozoa representatives, with no prior studies on zooplankton in the region, making these findings unprecedented. The biological quality of freshwater is crucial in fish farming, as poor quality can lead to decreased productivity and fish mortality, raising significant food safety concerns. The water quality studied is related to the potential influence of untreated wastewater as a source of contamination, leaving the studied region still far from safe water reuse practices. The findings on chemical and E. coli contamination of fish farming waters concern human health and emphasize the need for appropriate regulations.
Trends and Drivers of Flood Occurrence in Germany: A Time Series Analysis of Temperature, Precipitation, and River Discharge
Authors: Alobid Mohannad , Chellai Fatih , Szűcs István
Published: September 2024

Floods in Germany have become increasingly frequent and severe over recent decades, with notable events in 2002, 2013, and 2021. This study examines the trends and drivers of flood occurrences in Germany from 1990 to 2024, focusing on the influence of climate-change-related variables, such as temperature, precipitation, and river discharge. Using a comprehensive time series analysis, including Auto-Regressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN) models and correlation and regression analyses, we identify significant correlations between these climatic variables and flood events. Our findings indicate that rising temperatures (with a mean of 8.46 °C and a maximum of 9 °C) and increased precipitation (averaging 862.26 mm annually)are strongly associated with higher river discharge (mean 214.6 m3/s) and more frequent floods (mean 197.94 events per year). The ANN model outperformed the ARIMA model in flood forecasting, showing lower error metrics (e.g., RMSE of 10.86 vs. 18.83). The analysis underscores the critical impact of climate change on flood risks, highlighting the necessity of adaptive flood-management strategies that incorporate the latest climatic and socio-economic data. This research contributes to the understanding of flood dynamics in Germany and provides valuable insights into future flood risks. Combining flood management with groundwater recharge could effectively lower flood risks and enhance water resources’ mitigation and management.
Effect of the Fe2O3/SBA-15 Surface on Inducing Ozone Decomposition and Mass Transfer in Water
Authors: Yuan Lei , Fang Lele , Zhang Jizhou , Yan Pengwei , Chen Zhonglin
Published: September 2024

Catalytic ozonation with metal oxides is of interest for advanced water treatment technology. The amount of active oxygen-containing radicals produced is a primary objective of this process. Fe2O3 is a widely used catalyst because of its high performance. In this study, Fe2O3/SBA-15 was synthesized and characterized. The results revealed that Fe2O3/SBA-15 was a nano-/mesoporous material with high-order hexagonal array structures and exhibited greater catalytic performance than Fe2O3 in ozonation processes. To investigate the role of the Fe2O3/SBA-15 surface in O3 decomposition, the kinetic constant was measured, and the interfacial reactions were discussed. Compared with Fe2O3, Fe2O3/SBA-15 significantly increased the formation of hydroxyl radicals (•OH) and the efficient utilization of O3 in the catalytic O3 decomposition process. The SBA-15 support decreased the O3 self-decomposition rate during catalytic ozonation with Fe2O3/SBA-15, which resulted in increased formation of •OH via the reaction between O3 and Fe2O3. From a practical point of view, Fe2O3/SBA-15 is an efficient green ozonation catalyst for water treatment.
Analysis of factors infl uencing the formation of a food product range
Authors:   Kemerovo State University, Kemerovo, Timoshenko T.V.
Published: September 2024

The article analyzes the factors that infl uence the formation of the range of food products. The main indicators that are discussed in this article are consumer demand, seasonal fl uctuations, and the competitiveness of the product. The relationship between these factors and the formation of an assortment of food products is explored as well, and recommendations for improving this process in the modern market are off ered.
Analysis of causes and sources of growing tension in labor relations and increasing labor conflicts in medical institutions in the healthcare sector
Authors:   Research and Monitoring Center ", Dovganenko А.А. ,   Labor Conflicts",   , Saint Petersburg Humanitarian University of Trade Unions
Published: September 2024

The article is based on research by the Labor Conflicts Center (St. Petersburg). In the second quarter of this year, a new increase in tension in social and labor relations was noted, and numerous protests by physician assistants and drivers, demanding the payment of a new special social allowance, were registered. The industry trade union of the Federation of Independent Trade Unions of Russia believes that the measures to support those employed in the industry announced by the President of the Russian Federation have not been fully implemented, which contributes to discontent among employees of medical institutions.
DAMPAK PANDEMI COVID-19 TERHADAP PERBEDAAN PERTUMBUHAN PRODUKSI INDUSTRI MIKRO DAN KECIL DI WILAYAH KORIDOR EKONOMI INDONESIA
Authors: Dunggio Maryam , Lutfiati Anis
Published: September 2024

This study aims to prove the differences in the growth of Micro and Small Industry (IMK) production caused by the Covid-19 pandemic and differences in the Indonesian Economic Corridor (KEI) region. The study was conducted on IMK spread across 34 provinces in Indonesia based on data from BPS. The data analysis method used is comparative analysis using two way anova.  The results of the study proved that: (1) there was a significant difference between the growth of IMK production before the pandemic and during the COVID-19 pandemic; (2) there is a significant difference between the growth of IMK production in each KEI; (3) interaksi KEI with the covid-19 pandemic has a significant impact on the difference in the growth of IMK production and (4) there is a difference in the average growth of IMK production in each KEI before the pandemic and during the covid-19 pandemic.
How does globalization influence Ukrainian design? A critical analysis
Authors: Zolotarchuk Nataliia , Ponomarevska Olena , Tereshkun Anna , Barbash Marina , Kovalchuk Ostap
Published: September 2024

The research problem is relevant given the subordination of all life processes to certain global trends (globalization), within which the development vectors of each individual country have recently been determined. The purpose of the study: to determine the features of design development in Ukraine, taking into account the general influences on globalization processes. Research task: to analyze literary sources and real projects. The research methodology involves systematization of the experience of domestic designers in the conditions of today's realities in order to identify the main challenges of the modern community and respond to them by means of design.

The study is divided into semantic blocks: analysis of approaches to the study of design based on literary sources; study of the features of the reflection of globalization processes on the development of the sphere of culture and art, which includes design; analysis of modern design practices in Ukraine, taking into account the general trends of globalization and the peculiarities of Ukrainian culture.The choice of projects and initiatives for analysis is primarily due to their relevance in the cultural life of modern Ukraine. Then the task was set to consider those areas that are currently continuing to actively develop. It was found that the development of various design areas in Ukraine is in line with global trends (implementation of new technologies, digitalization, digitalization, sustainable development, finding one's own path). The economic component influences the choice of the potential audience of a design product, the principles of its positioning in the market. The concept of sustainable development is reflected in the priority of innovative technologies and materials for creating a design product, new methods and forms of design, and the development of a full "life" cycle. The socio-cultural component has activated the need for self-identification through design as a communication technology. Now the aspirations for the development of design in line with national traditions have become as relevant as possible. The need for physical renewal of the environment and the assistance of the world community have determined the possibility of more active use of technical and technological innovations in the field of design. Further studies involve covering the formation and use of national codes in various areas of design, as well as the implementation of innovative ideas in educational practices.
Gamification and student engagement in higher education: The moderating role of concentration
Authors: Allehaidan Ahmed Freeh , Wan Zainon Wan Mohd Nazmee
Published: September 2024

Gamification in the teaching and education system is an innovative approach incorporating game elements into educational activities to enhance student engagement, motivation, and learning outcomes. Thus, this study investigates the relationship between attitude towards using gamification and student engagement (skill engagement and participation engagement) while exploring the moderating role of student concentration in this relationship. The 306 data were collected from the students in the Saudi public university to verify these proposed hypotheses. The findings indicate employing Structural Equation Modeling (SEM) via Partial Least Squares (PLS). The research framework evaluated the impact of attitude towards gamification on student engagement. Results revealed a significant positive relationship between attitude towards using gamification and student engagement, which is more noticeable when student concentration is high than when it is low. This study contributes to understanding the dynamics between gamification, student attitudes, concentration levels, and engagement within educational contexts.
Tax implications of influencer income in Peru through social media platforms
Authors: León-Vega Luisa , Avalo-Rocca Giampiero , Espinoza-Alcívar Edison , Sorhegui-Ortega Rafael , Vergara-Romero Arnaldo
Published: September 2024

This article investigates how influencers in Peru who generate income through platforms such as Facebook, Instagram and YouTube are subject to taxation under Peru's Income Tax Law (LIR). The main sources of income include: advertising income and affiliate income. Advertising income is derived from payments that brands or companies make to influencers to promote their products or services. On the other hand, affiliate revenues are commissions that influencers earn by recommending products or services to their followers through affiliate links. This study analyzes in detail how this income is classified and taxed under Peru's LIR. In conclusion, the research highlights the importance of understanding the tax implications of influencers' income in Peru through social platforms. In addition, it highlights how easily these business models allow tax evasion, due to the informality of the transactions and the lack of effective control mechanisms, which poses a significant challenge for tax compliance within the established legal framework.
Erişkin Bağışıklama
Authors: Aslan Selda , Köse Şükran
Published: September 2024

Enfeksiyon hastalıklarından korunma, ilk ve en kolay yoldur. Bu sebeple, aşı ile önlenebilir enfeksiyon hastalıklarında bağışıklama çocukluk döneminde olduğu kadar erişkin yaş grupları içinde önem taşımaktadır. Dünyada ve ülkemizde immünizasyon genellikle çocukluk dönemine özgü bir uygulama olarak kabul edilmesine rağmen yaşam boyu devam etmektedir. Erişkin bağışıklama ile aşı ile önlenebilir enfeksiyon hastalıklarında hastalık insidansı düşürülmekte, mortalite ve sağlık harcamaları önemli oranda azaltılmaktadır. Arttırılmaya çalışılan farkındalığa rağmen erişkin bağışıklama düzeyleri halen ideal seviyelerde değildir. Erişkinlerin çoğu kendileri için gerekli olan aşıları bilmemektedir. Komorbiditeleri olan bireyler, yaşlılar, sağlık çalışanları, uluslararası seyahat edenler gibi birçok grup aşılanarak pek çok yaşamın korunmasını sağlayabilir. Dünya Sağlık Örgütü tarafından uygulanan Genişletilmiş Bağışıklama Programı önerileri doğrultusunda birçok aşı ile önlenebilir enfeksiyon hastalıkları eliminasyon noktasına gelmiştir. Koruyucu hekimlik kapsamında erişkin yaşta bağışıklama son yıllarda önem kazanmakta, bağışıklama stratejileri yeniden gözden geçirilmektedir. Yaşam Boyu Bağışıklama stratejisi ile erişkin morbidite ve mortalitenin önlenmesi, tedavi maliyetleri ve iş gücü kayıplarının azaltılması hedeflenmektedir. Bu derlemede amaç, erişkin yaş gruplarında güncel literatürü, bağışıklama önerilerini ve uygulamaları incelemektir.
PENGARUH MODAL INTELEKTUAL, CORPORATE SOCIAL RESPONSIBILITY, DAN CORPORATE GOVERNANCE TERHADAP KINERJA KEUANGAN
Authors: Hani Oktafia Putri  , Diyah Santi Hariyani  , Liliek Nur Sulistyowati
Published: September 2024

Penelitian ini tentantang Pengaruh Modal Intelektual, Corporate Social Responsibility dan Corporate Governance Terhadap Kinerja Keuangan (Studi Kasus Pada Perusahaan Kompas 100). Penelitian ini bertujuan untuk menganalisis pengaruh variabel modal intelektual, Corporate Social Responsibility dan Corporate Governance Terhadap Kinerja Keuangan. Metode penelitian ini menggunakan metode kuantitatif dan analisis data menggunakan uji asumsi klasik, analisis regresi linier berganda, uji koefisien determinasi dan uji t. hasil pada penelitian ini menunjukkan bahwa, Modal Intelektual berpengaruh positif dan signifikan terhadap kinerja keuangan, Corporate Social Responsibility berpengaruh positif dan signifikan terhadap kinerja keuangan, Corporate Governance berpengaruh positif dan signifikan terhadap kinerja keuangan.
CONVERGENCE RATE OF THE EXTRAPOLATION FROM THE PAST AND OPERATOR EXTRAPOLATION ALGORITHMS
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, semenov.volodya@gmail.com, Semenov V.V. , Kharkov O.S. ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, olehharek@gmail.com
Published: September 2024

The paper considers variational inequalities in the Hilbert space and two methods of their approximate solution: extrapolation from the past and operator extrapolation algorithms. Both algorithms have less computationally expensive iterations than the classical extragradient algorithm: only one operator computation is needed instead of two. Non-asymptotic linear convergence rate estimates are proved for variational inequalities with the Lipschitz continuous operator, which also satisfy the generalized strong monotonicity condition. The results are new and improve the available estimates. Keywords: variational inequality, saddle-point problem, linear convergence, extrapolation from the past, operator extrapolation.
OPTIMIZATION CHARACTERISTICS OF AN OPERATOR WITH DELTA-SHAPED KERNEL FOR QUASI-SMOOTH FUNCTIONS
Authors:   Lesya Ukrainka Volyn National University, Lutsk, Ukraine, sh93ar@gmail.com, Shutovskyi A.M. , Pryt V.V.
Published: September 2024

The paper presents research results combining the methods of approximation theory and optimal decision theory. Namely, the optimization problem for the biharmonic Poisson integral in the upper half-plane is considered as one of the most optimal solutions to the biharmonic equation in Cartesian coordinates. The approximate properties of the biharmonic Poisson operator in the upper half-plane on the classes of quasi-smooth functions are obtained in the form of an exact equality for the deviation of quasi-smooth functions from the positive operator under consideration. Keywords: biharmonic equation in Cartesian coordinates, quasi-smooth functions, global optimization, biharmonic Poisson integral in the upper half-plane.
INVERSE-INITIAL PROBLEM FOR TIME-DEGENERATE PDE INVOLVING THE BI-ORDINAL HILFER DERIVATIVE
Authors:   Fergana State University, Fergana, Uzbekistan  erkinjon@gmail.com, Karimov E.T. , Tokmagambetov N.E. ,   Centre de Recerca Matematica Cerdanyola del Valles, Barcelona, Spain, and Institute of Mathematics and Mathematical Modeling, Almaty, Kazakhstan, tokmagambetov@crm.cat;  tokmagambetov@math.kz, Usmonov D.A. ,   Fergana State University, Fergana, Uzbekistan, dusmonov909@gmail.com
Published: September 2024

A unique solvability of the inverse initial problem for a time-degenerate fractional partial differential equation is proved. Using the method of variable separation, we obtain the Cauchy problem for the fractional differential equation involving the bi-ordinal Hilfer derivative in the time variable. The authors present the solution to this Cauchy problem in an explicit form via the Kilbas–Saigo function. Further, using the upper and lower bounds of this function, the authors prove the uniform convergence of the infinite series corresponding to the solution of the formulated inverse initial problem. Keywords: inverse-initial problem, degenerate PDE, bi-ordinal Hilfer operator, Kilbas–Saigo function.
IMPLEMENTATION OF MONTGOMERY MULTIPLICATION TO SPEED UP THE COMPUTATION OF MODULAR EXPONENTIATION OVER MULTI-BIT NUMBERS
Authors:   Lviv Polytechnic National University, Lviv, Ukraine, ihor.o.protsko@lpnu.ua, Prots’ko I. , Gryshchuk A. ,   “SoftServe,” LLC, Lviv, Ukraine, ocr@ukr.net
Published: September 2024

A comparison and analysis of the use of the developed software implementation of the class MontgomeryArithmetic for computing modular exponentiation are conducted. The computation speed of the developed Montgomery modular multiplication is compared to the regular modular multiplication for calculating the modular exponentiation based on the right-to-left binary elevation method for a fixed basis with a preliminary calculation of a reduced set of remainders. The obtained results of performing modular exponentiation computations with parallelization based on multithreading on general-purpose computers speed up the computations by an average of 1.5 times using the developed modular Montgomery multiplication compared to the modular exponentiation functions of the MPIR, OpenSSL, and Crypto++ software libraries. Keywords: modular multiplication, modular exponentiation, multithreading, precomputation, large numbers.
RECOGNITION OF IMAGES OF CONTINUOUS WAVELET SPECTRA OF NOISED RADIO LOCATION SIGNALS USING A CONVOLUTIONAL NEURAL NETWORK
Authors:   National Technical University “Kharkiv Polytechnic Institute,” Kharkiv, Ukraine, оnufrienkoresearcher@gmail.com, Onufriienko D. , Taranenko Yu. ,   “Likopak” Private Enterprise, Dnipro, Ukraine, tatanen@ukr.net, Oliinyk O. ,   Dnipro Applied College of Radio Electronics, Dnipro, Ukraine, oleinik_o@ukr.net, Lopatin V. ,   M.S. Poliakov Institute of Geotechnical Mechanics, National Academy of Sciences of Ukraine, Dnipro, Ukraine,  vlop@ukr.net
Published: September 2024

The paper considers the existing methods of image recognition of continuous wavelet spectra of noisy signals with linear and nonlinear frequency modulation using convolutional neural networks. A procedure for preparing spectral images for processing in a neural network is proposed, which ensures a sufficient probability of recognizing a given type of signal out of twenty possible ones. The methodology for solving the problem consists of finding an image preparation algorithm that provides image augmentation by the method of changing continuous wavelets, which ensures the identification of signals under conditions of limited resonance frequency and bandwidth. The algorithm involves changing the frequency of the continuous spectrum by processing the phase grating signal with different continuous wavelets after the additive addition of non-stationary noise. Signals with linear and nonlinear modulation prepared in this way, as well as signal spectra of other regular forms, are used as input data of the convolutional neural network. The procedure of dividing wavelet spectrum images into classes is performed by checking the homogeneity of the class based on the Shannon entropy value. The minimum entropy value indicates the homogeneity of the subset and the absence of “impurities” from images of other classes. The developed model of a neural network with augmentation by continuous wavelet spectra in the conditions of a limited data set has an accuracy of up to 97.95%. Keywords: augmentation, wavelet spectrum, convolutional neural networks, continuous wavelets, unmanned aerial vehicles.
COMPARATIVE ANALYSIS OF USING DIFFERENT TEXT FEATURES, MODELS, AND METHODS IN TEXT AUTHOR RECOGNITION
Authors:   Institute of Control Systems of the Ministry of Sciences and Education of Azerbaijan, Baku, Azerbaijan, rustemazimov1999@gmail.com, Azimov R.B.
Published: September 2024

Various methods and models are used in the text author recognition computer system for recognizing the authorship of texts on the example of Azerbaijani writers. A comparative analysis is carried out for the efficiency of using different text features and proposed feature selection procedures. Computer experiments are conducted using the works of several famous Azerbaijani writers in Azerbaijani language, and the results are analyzed. Keywords: author recognition, author identification, authorship recognition of literary works, text feature engineering.
CONTROL SYSTEMS FOR THE GRANULATION PROCESS OF MINERAL FERTILIZERS IN A FLUIDIZED BED
Authors:   National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute,” Kyiv, Ukraine, bogdanko@і.ua, Korniyenko B.Y. , Ladieva L.R. ,   National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute,” Kyiv, Ukraine, lrynus@yahoo.com, Pisarenko V.G. ,   V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine, newjulia1979@gmail.com, Pisarenko J.V. ,   V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine, newjulia1979@gmail.com, Nesteruk A.O. ,   National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute,” Kyiv, Ukraine, aonesterukr@gmail.com
Published: September 2024

Four control systems are generated using Matlab software based on different controllers for the granulation process in a fluidized bed: controllers for linear systems — PID and optimal LQR, controllers for nonlinear systems — MPC and those based on fuzzy logic. For each control system, transient characteristics are obtained and system efficiency indicators are given. Keywords: control system, regulator, granulation, fluidized bed.
DIFFERENTIAL OPERATORS DETERMINING THE SOLUTION OF AN ITERATED EQUATION OF HYPERBOLIC TYPE
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, lyashko.serg@gmail.com, Lyashko S.I. , Sydorov M.V.-S. ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, myksyd@knu.ua, Lyashko N.I. ,   V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine, lyashko.natali@gmail.com, Alexandrovich I.M. ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, ialexandrovich@ukr.net
Published: September 2024

Hyperbolic-type differential equations and their iterations are widely used in analyzing problems related to vibration phenomena and other problems of mechanics and mathematical physics. The solution methods for such equations are creating differential and integral operators. In the article, differential operators are constructed that translate arbitrary functions into regular solutions of a hyperbolic equation of the second and higher orders. The Riquet problem for the hyperbolic equation of the fourth order is solved. Keywords: differential operator, regular solutions, iterated hyperbolic-type equations.
MATHEMATICAL MODELING OF THE ECONOMIC CONSEQUENCES OF THE COVID-19 PANDEMIC
Authors:   V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine, konstantin_atoyev@yahoo.com, Atoyev K.L. , Knopov P.S. ,   V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine, knopov1@yahoo.com
Published: September 2024

To study the relationship between the dynamics of the COVID-19 pandemic and the state of the economy, a stochastic model is developed that covers the epidemic and economic blocks and the system of relationships between them. An approach is proposed to analyze the interrelations of economic sectors related to food production, transport chains of their delivery, and the medical sector, using the three-sector Lorenz model. This model combines the described sectors of the economy into a single structure, each of which is considered from the point of view of the level of productivity, the number of jobs, and structural disturbances. Model studies are carried out to analyze the dependence of the dynamics of the pandemic on the initial conditions and parameters for managing the epidemic process and the impact of the pandemic on changes in the balance of supply and demand in sectors of the economy related to food production, transport, and the medical sector. Keywords: mathematical modeling, spread of COVID-19, deterministic chaos, economic consequences of the pandemic.
RECONSTRUCTION OF THE PDE WITH POLYNOMIAL COEFFICIENTS BASED ON THE INFORMATION ABOUT ITS SOLUTIONS
Authors:   Institute of Mathematics, National Academy of Sciences of Ukraine, Kyiv, Ukraine, makarovimath@gmail.com, Makarov V.L. , Mayko N.V. ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, mayko@knu.ua
Published: September 2024

We develop and substantiate the algorithm for finding an ordinary differential equation of minimum order with polynomial coefficients over the field of rational numbers, whose solutions are a given system of polynomials (here, a system of the modified Laguerre–Cayley polynomials). Keywords: system of the Laguerre–Cayley polynomials, the Mittag-Leffler function, ordinary differential equation, polynomial coefficient, rational number.
Optimizing Capsule Network Performance with Enhanced Squash Function for Classification Large-Scale Bone Marrow Cells
Authors: Al-rahhawi Amina Faris , Aydın Atasoy Nesrin
Published: September 2024

Capsule networks (CapsNet) have emerged as a promising architectural framework for various machine-learning tasks and offer advantages in capturing hierarchical relationships and spatial hierarchies within data. One of the most crucial components of CapsNet is the squash function, which plays a pivotal role in transforming capsule activations. Despite the success achieved by standard squash functions, some limitations remain. The difficulty learning complex patterns with small vectors and vanishing gradients are major limitations. Standard squash functions may struggle to handle large datasets. We improve our methodology to enhance squash functions to address these challenges and build on our previous research, which recommended enhancing squash functions for future improvements. Thus, high-dimensional, and complex data scenarios improve CapsNet’s performance. Enhancing CapsNet for complex tasks like bone marrow (BM) cell classification requires optimizing its fundamental operations. Additionally, the squash function affects feature representation and routing dynamics. Additionally, this enhancement improves feature representation, preserves spatial relationships, and reduces routing information loss. The proposed method increased BM data classification accuracy from 96.99% to 98.52%. This shows that our method improves CapsNet performance, especially in complex and large-scale tasks like BM cells. Comparing the improved CapsNet model to the standard CapsNet across datasets supports the results. The enhanced squash CapsNet outperforms the standard model on MNIST, CIFAR-10, and Fashion MNIST with an accuracy of 99.83%, 73%, and 94.66%, respectively. These findings show that the enhanced squash function improves CapsNet performance across diverse datasets, confirms its potential for real-world machine learning applications, and highlight the necessity for additional research.
Elektrikli Araç Şarj İstasyonu Konum Tasarımında, Digsilent Yazılımı Kullanılarak Kocaeli Üniversitesi Umuttepe Kampüsü İçin Örnek Uygulama
Authors: Yapıcı Ayşe Tuğba , Abut Nurettin
Published: September 2024

Ulaşım konusunda tüm dünyanın üzerinde durduğu elektrikli araçlar oldukça hızlı yaygınlaşmaktadır. Bu hızlı yayılma ile birlikte aracın sorunsuz yol alabilmesi için belirli aralıklarla şarj edilmesi gerekmektedir. Dolayısıyla, elektrikli araçlar için şarj istasyonları ve bunların enerji şebekesine entegrasyonunun önemi gündeme gelmiştir. Yapılan bu çalışmada Kocaeli Üniversitesi Umuttepe Yerleşkesi için gerçek veriler Digsilent Power Factory programına aktarılarak mevcut enerji dağıtım sisteminin elektrikli araç şarj istasyonu tasarım sorunu detaylı olarak ele alınmıştır. Böylece yakın gelecekte kampüste kurulması beklenen şarj istasyonları için çalışma rehber niteliğinde olacaktır. İlk olarak mevcut dağıtım sisteminin trafolarının % 80 yüklendiği bilindiği için bu yüklenme yüzdesi ile yük akışı elde edilmiştir. Böylece mevcut sisteme herhangi bir iyileştirme yapılmadan ne kadar şarj istasyonu eklenebileceği görülmüştür. Mevcut sisteme eklenebilecek maksimum şarj istasyonu sayısının gelecekte yetersiz olabileceği ön görülerek iki farklı yöntem önerisi ile şarj istasyonu sayısının artırılması hedeflenmiştir. İlk olarak sisteme uygun yeni trafo merkezleri eklenerek şarj istasyonu sayıları ve noktaları gösterilmiştir. Daha sonra ise oldukça popüler olan yenilenebilir enerji kaynaklarından güneş enerjisi ile kampüs için bir güneş panelli şarj istasyonu tasarlanmıştır. Yapılan tasarım Digsilent Power Factory programı ile mevcut sisteme entegre edilerek şarj istasyonu sayısı ve noktaları gösterilmiştir. Yapılan her bir simülasyon çalışması detaylı olarak incelenmiş ve mevcut sisteme etkisi gösterilmiştir.