bluuebunny/crossref_metadata_2025 huggingface dataset:
P-IOTA: A Cloud-Based Geographically Distributed Threat Alert System That Leverages P4 and IOTA
Authors: Al Sadi Amir , Mazzocca Carlo , Melis Andrea , Montanari Rebecca , Prandini Marco , Romandini Nicolò
Published: March 2023

The recent widespread novel network technologies for programming data planes are remarkably enhancing the customization of data packet processing. In this direction, the Programming Protocol-independent Packet Processors (P4) is envisioned as a disruptive technology, capable of configuring network devices in a highly customizable way. P4 enables network devices to adapt their behaviors to mitigate malicious attacks (e.g., denial of service). Distributed ledger technologies (DLTs), such as blockchain, allow secure reporting alerts on malicious actions detected across different areas. However, the blockchain suffers from major scalability concerns due to the consensus protocols needed to agree on a global state of the network. To overcome these limitations, new solutions have recently emerged. IOTA is a next-generation distributed ledger engineered to tackle the scalability limits while still providing the same security capabilities such as immutability, traceability, and transparency. This article proposes an architecture that integrates a P4-based data plane software-defined network (SDN) and an IOTA layer employed to notify about networking attacks. Specifically, we propose a fast, secure, and energy-efficient DLT-enabled architecture that combines the IOTA data structure, named Tangle, with the SDN layer to detect and notify about network threats.
A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction
Authors: De Falco Ivanoe , Della Cioppa Antonio , Koutny Tomas , Ubl Martin , Krcma Michal , Scafuri Umberto , Tarantino Ernesto
Published: March 2023

In this paper, we propose an innovative Federated Learning-inspired evolutionary framework. Its main novelty is that this is the first time that an Evolutionary Algorithm is employed on its own to directly perform Federated Learning activity. A further novelty resides in the fact that, differently from the other Federated Learning frameworks in the literature, ours can efficiently deal at the same time with two relevant issues in Machine Learning, i.e., data privacy and interpretability of the solutions. Our framework consists of a master/slave approach in which each slave contains local data, protecting sensible private data, and exploits an evolutionary algorithm to generate prediction models. The master shares through the slaves the locally learned models that emerge on each slave. Sharing these local models results in global models. Being that data privacy and interpretability are very significant in the medical domain, the algorithm is tested to forecast future glucose values for diabetic patients by exploiting a Grammatical Evolution algorithm. The effectiveness of this knowledge-sharing process is assessed experimentally by comparing the proposed framework with another where no exchange of local models occurs. The results show that the performance of the proposed approach is better and demonstrate the validity of its sharing process for the emergence of local models for personal diabetes management, usable as efficient global models. When further subjects not involved in the learning process are considered, the models discovered by our framework show higher generalization capability than those achieved without knowledge sharing: the improvement provided by knowledge sharing is equal to about 3.03% for precision, 1.56% for recall, 3.17% for F1, and 1.56% for accuracy. Moreover, statistical analysis reveals the statistical superiority of model exchange with respect to the case of no exchange taking place.
Smart Gateway for Healthcare Networks Based on Beam Steering Technology
Authors: Honda Kazuhiro , Takakura Kosuke , Otsubo Yuki
Published: March 2023

To ensure high-reliability communication in healthcare networks, this paper presents a smart gateway system that includes an angle-of-arrival (AOA) estimation and a beam steering function for a small circular antenna array. To form a beam toward healthcare sensors, the proposed antenna estimates the direction of the sensors utilizing the radio-frequency-based interferometric monopulse technique. The fabricated antenna was assessed based on the measurements of complex directivity and the over-the-air (OTA) testing in Rice propagation environments using a two-dimensional fading emulator. The measurement results reveal that the accuracy of the AOA estimation agrees well with that of the analytical data obtained through the Monte Carlo simulation. This antenna is embedded with a beam steering function employing phased array technology, which can form a beam spaced at 45° intervals. The ability of full-azimuth beam steering with regard to the proposed antenna was evaluated by beam propagation experiments using a human phantom in an indoor environment. The received signal of the proposed antenna with beam steering increases more than that of a conventional dipole antenna, confirming that the developed antenna has great potential of achieving high-reliability communication in a healthcare network.
NOMA-Based VLC Systems: A Comprehensive Review
Authors: Mohsan Syed Agha Hassnain , Sadiq Muhammad , Li Yanlong , Shvetsov Alexey V. , Shvetsova Svetlana V. , Shafiq Muhammad
Published: March 2023

The enhanced proliferation of connected entities needs a deployment of innovative technologies for the next generation wireless networks. One of the critical concerns, however, is the spectrum scarcity, due to the unprecedented broadcast penetration rate nowadays. Based on this, visible light communication (VLC) has recently emerged as a viable solution to secure high-speed communications. VLC, a high data rate communication technology, has proven its stature as a promising complementary to its radio frequency (RF) counterpart. VLC is a cost-effective, energy-efficient, and secure technology that exploits the current infrastructure, specifically within indoor and underwater environments. Yet, despite their appealing capabilities, VLC systems face several limitations which constraint their potentials such as LED’s limited bandwidth, dimming, flickering, line-of-sight (LOS) requirement, impact of harsh weather conditions, noise, interference, shadowing, transceiver alignment, signal decoding complexity, and mobility issue. Consequently, non-orthogonal multiple access (NOMA) has been considered an effective technique to circumvent these shortcomings. The NOMA scheme has emerged as a revolutionary paradigm to address the shortcomings of VLC systems. The potentials of NOMA are to increase the number of users, system’s capacity, massive connectivity, and enhance the spectrum and energy efficiency in future communication scenarios. Motivated by this, the presented study offers an overview of NOMA-based VLC systems. This article provides a broad scope of existing research activities of NOMA-based VLC systems. This article aims to provide firsthand knowledge of the prominence of NOMA and VLC and surveys several NOMA-enabled VLC systems. We briefly highlight the potential and capabilities of NOMA-based VLC systems. In addition, we outline the integration of such systems with several emerging technologies such as intelligent reflecting surfaces (IRS), orthogonal frequency division multiplexing (OFDM), multiple-input and multiple-output (MIMO) and unmanned aerial vehicles (UAVs). Furthermore, we focus on NOMA-based hybrid RF/VLC networks and discuss the role of machine learning (ML) tools and physical layer security (PLS) in this domain. In addition, this study also highlights diverse and significant technical hindrances prevailing in NOMA-based VLC systems. We highlight future research directions, along with provided insights that are envisioned to be helpful towards the effective practical deployment of such systems. In a nutshell, this review highlights the existing and ongoing research activities for NOMA-based VLC systems, which will provide sufficient guidelines for research communities working in this domain and it will pave the way for successful deployment of these systems.
A Laboratory Evaluation of the New Automated Pollen Sensor Beenose: Pollen Discrimination Using Machine Learning Techniques
Authors: El Azari Houssam , Renard Jean-Baptiste , Lauthier Johann , Dudok de Wit Thierry
Published: March 2023

The monitoring of airborne pollen has received much attention over the last decade, as the prevalence of pollen-induced allergies is constantly increasing. Today, the most common technique to identify airborne pollen species and to monitor their concentrations is based on manual analysis. Here, we present a new, low-cost, real-time optical pollen sensor, called Beenose, that automatically counts and identifies pollen grains by performing measurements at multiple scattering angles. We describe the data pre-processing steps and discuss the various statistical and machine learning methods that have been implemented to distinguish different pollen species. The analysis is based on a set of 12 pollen species, several of which were selected for their allergic potency. Our results show that Beenose can provide a consistent clustering of the pollen species based on their size properties, and that pollen particles can be separated from non-pollen ones. More importantly, 9 out of 12 pollen species were correctly identified with a prediction score exceeding 78%. Classification errors occur for species with similar optical behaviour, suggesting that other parameters should be considered to provide even more robust pollen identification.
S-BIRD: A Novel Critical Multi-Class Imagery Dataset for Sewer Monitoring and Maintenance Systems
Authors: Patil Ravindra R. , Mustafa Mohamad Y. , Calay Rajnish Kaur , Ansari Saniya M.
Published: March 2023

Computer vision in consideration of automated and robotic systems has come up as a steady and robust platform in sewer maintenance and cleaning tasks. The AI revolution has enhanced the ability of computer vision and is being used to detect problems with underground sewer pipes, such as blockages and damages. A large amount of appropriate, validated, and labeled imagery data is always a key requirement for learning AI-based detection models to generate the desired outcomes. In this paper, a new imagery dataset S-BIRD (Sewer-Blockages Imagery Recognition Dataset) is presented to draw attention to the predominant sewers’ blockages issue caused by grease, plastic and tree roots. The need for the S-BIRD dataset and various parameters such as its strength, performance, consistency and feasibility have been considered and analyzed for real-time detection tasks. The YOLOX object detection model has been trained to prove the consistency and viability of the S-BIRD dataset. It also specified how the presented dataset will be used in an embedded vision-based robotic system to detect and remove sewer blockages in real-time. The outcomes of an individual survey conducted at a typical mid-size city in a developing country, Pune, India, give ground for the necessity of the presented work.
Beam-Selection for 5G/B5G Networks Using Machine Learning: A Comparative Study
Authors: Chatzoglou Efstratios , Goudos Sotirios K.
Published: March 2023

A challenging problem in millimeter wave (mmWave) communications for the fifth generation of cellular communications and beyond (5G/B5G) is the beam selection problem. This is due to severe attenuation and penetration losses that are inherent in the mmWave band. Thus, the beam selection problem for mmWave links in a vehicular scenario can be solved as an exhaustive search among all candidate beam pairs. However, this approach cannot be assuredly completed within short contact times. On the other hand, machine learning (ML) has the potential to significantly advance 5G/B5G technology, as evidenced by the growing complexity of constructing cellular networks. In this work, we perform a comparative study of using different ML methods to solve the beam selection problem. We use a common dataset for this scenario found in the literature. We increase the accuracy of these results by approximately 30%. Moreover, we extend the given dataset by producing additional synthetic data. We apply ensemble learning techniques and obtain results with about 94% accuracy. The novelty of our work lies in the fact that we improve the existing dataset by adding more synthetic data and by designing a custom ensemble learning method for the problem at hand.
A Feasibility Study on the Conversion from Manual to Semi-Automatic Material Handling in an Oil and Gas Service Company
Authors: Saptari Adi , Ng Poh Kiat , Junardi Michelle , Taslim Andira
Published: March 2023

In manufacturing companies, manual material handling (MMH) involves lifting, pushing, pulling, carrying, moving, and lowering objects, which can lead to musculoskeletal disorders (MSDs) among workers, resulting in high labor costs due to excessive overtime incurred for manual product preparation. The aim of this study was to show how ergonomic measures were used to reduce the risk of MSDs and to reduce operating costs in the warehouse department of an oil and gas service company. A preliminary study using the Nordic Body Map survey showed that the workers experienced pain in various parts of the body, indicating the presence of MSDs. The researchers then used methods such as the Rapid Upper Limb Assessment (RULA), Rapid Entire Body Assessment (REBA), and National Institute for Occupational Safety and Health (NIOSH) assessments to verify whether the MMH activities had an acceptable level of risk. The results revealed that certain manual material handling (MMH) activities were assessed as low–very high risk, with RULA scores ranging from 3 to 7 and REBA scores ranging from 4 to 11. An immediate solution was to replace the manual process with a semi-automatic process using a vacuum lifter. A feasibility study was conducted using the net present value (NPV), internal rate of return (IRR), and payback period to justify the economic viability of the solution. The analysis indicated that implementing the vacuum lifter not only mitigated the risk of MSDs but also reduced the operating costs, demonstrating its viability and profitability. Overall, this study suggests that implementing a vacuum lifter as an assistive device in the warehouse would be a beneficial investment for both the workers and the company, improving both well-being and finances.
The Contralateral Repeated Bout Effect of Elbow Flexors Is Not Observed in Young Women Following Mild Muscle Damage from Eccentric Exercises
Authors: Brown Bailey A. , Ye Xin , Xin Ling
Published: March 2023

Investigation of the contralateral repeated bout effect (CL-RBE) in women is scarce. Therefore, this study aimed at examining whether CL-RBE exists in women. Twelve healthy women (age: 20.9 ± 2.5 years) performed two bouts of maximal elbow flexor eccentric exercise (3 sets × 15 repetitions per bout) separated by 14 days, using the opposite arms. Surface Electromyography (EMG) was recorded during both exercise bouts. The isokinetic muscle strength (60°/s), muscle soreness, range of motion (ROM), limb girth, and blood creatine kinase activity were measured pre-exercise, and at 24 and 48 h post-exercise with the muscle strength being measured immediately post-exercise as well. Significant main effects of time were observed for muscle strength, muscle soreness and ROM (p < 0.05). There were no significant differences between bouts for all the measured variables including the EMG median frequency (p > 0.05). These results suggest that the CL-RBE of elbow flexors was not evident in young healthy women. This was because the mild muscle damage induced by the initial bout of exercise was either not enough to initiate the CL-RBE or the CL-RBE in women lasted shorter than two weeks. This study provides important information for future studies on CL-RBE in women.
Comparing the Performance of Corporate Bankruptcy Prediction Models Based on Imbalanced Financial Data
Authors: Noh Seol-Hyun
Published: March 2023

Forecasts of corporate defaults are used in various fields across the economy. Several recent studies attempt to forecast corporate bankruptcy using various machine learning techniques. We collected financial information on 13 variables of 1020 companies listed on the KOSPI and KOSDAQ to capture the possibility of corporate bankruptcy. We propose a data processing method for small-sample domestic corporate financial data. We investigate the case of random sampling of non-bankrupt companies versus sampling non-bankrupt companies based on approximate entropy and optimized threshold based on AUC to address the imbalance between the number of bankrupt companies and the number of non-bankrupt companies. We compare the performance measures of corporate bankruptcy prediction models for the small sample data structured in two ways and the full dataset. The experimental results of this study contribute to the selection of an appropriate corporate bankruptcy prediction model.
Study on the Spatial–Temporal Pattern Evolution and Carbon Emission Reduction Effect of Industry–City Integration in the Yellow River Basin
Authors: Jiang Zhengyun , Feng Yun , Song Jinping , Song Chengzhen , Zhao Xiaodi , Zhang Chi
Published: March 2023

The coordinated promotion of industry–city integration and carbon emission reduction is of great significance to the construction of a green economic system and deep participation in global environmental governance. Based on the overall framework of the “production–life–ecology” system, the theoretical mechanism of the impact of industry–city integration on carbon emissions is systematically clarified. Taking the Yellow River basin as a sample, the spatiotemporal heterogeneity of the effect of industry–city integration on carbon emissions is empirically tested by using the methods of the dispersion coefficient coordination function, standard deviation ellipse and STIRPAT model. The results show the following: (1) The coordinated integration of industry and city has significant carbon emission reduction effects, thus indicating that industry–city integration and carbon neutralization can achieve both, and that the conclusion is still valid after endogenous treatment and a series of robustness tests. (2) The development of an export-oriented economy and informatization can significantly promote carbon emission reduction. The process of economic development, infrastructure construction and population quality improvement may aggravate regional carbon emissions in the short term. (3) Further analysis shows that the carbon emission reduction effect of industry–city integration has significant spatial heterogeneity, especially in the upper and lower reaches of the Yellow River and regions with moderate carbon emission intensity. Scientific and technological innovation and environmental regulation play a positive role in regulating the carbon emission reduction effect of industry–city integration.
A Systematic Review on Carbon Dioxide (CO2) Emission Measurement Methods under PRISMA Guidelines: Transportation Sustainability and Development Programs
Authors: Zubair Muhammad , Chen Shuyan , Ma Yongfeng , Hu Xiaojian
Published: March 2023

In the effort to urgently develop new and improved methodologies to compute and assess CO2 emissions from transportation, results have been less than ideal; this article provides a review of the methodologies currently available. When it comes to the discharge of harmful gases into the air, transportation is the biggest offender. Methods are still being developed to calculate and analyze the transportation sector’s carbon footprint, despite the fact that the need to limit the emission of gases that contribute to global warming has now become urgent. Previous studies have calculated the carbon footprint of transportation; however, there are some discrepancies in the terminology and methodologies utilized. The commonalities between CO2 emission measurement techniques and assessment techniques are the primary subject of this review. This study helps to increase public awareness of environmental concerns and promotes the use of reliable methodologies for calculating transportation-related CO2 emissions. It is hoped that choosing the optimal available method will contribute to a decrease in CO2 emissions from transportation.
Distributed Generation and Load Modeling in Microgrids
Authors: AlMuhaini Mohammad , Yahaya Abass , AlAhmed Ahmed
Published: March 2023

Solar PV and wind energy are the most important renewable energy sources after hydroelectric energy with regard to installed capacity, research spending and attaining grid parity. These sources, including battery energy storage systems, and well-established load modeling have been pivotal to the success of the planning and operation of electric microgrids. One of the major challenges in modeling renewable-based DGs, battery storage, and loads in microgrids is the uncertainty of modeling their stochastic nature, as the accuracy of these models is significant in the planning and operation of microgrids. There are several models in the literature that model DG and battery storage resources for microgrid applications, and selecting the appropriate model is a challenging task. Hence, this paper examines the most common models of the aforementioned distributed energy resources and loads and delineates the mathematical rigor required for characterizing the models. Several simulations are conducted to demonstrate model performance using manufacturers’ datasheets and actual atmospheric data as inputs.
Metal Nanoparticles with Antimicrobial Properties: The Toxicity Response in Mouse Mesenchymal Stem Cells
Authors: Rossner Pavel , Cervena Tereza , Echalar Barbora , Palacka Katerina , Milcova Alena , Novakova Zuzana , Sima Michal , Simova Zuzana , Vankova Jolana , Holan Vladimir
Published: March 2023

Some metal nanoparticles (NP) are characterized by antimicrobial properties with the potential to be used as alternative antibiotics. However, NP may negatively impact human organism, including mesenchymal stem cells (MSC), a cell population contributing to tissue growth and regeneration. To address these issues, we investigated the toxic effects of selected NP (Ag, ZnO, and CuO) in mouse MSC. MSC were treated with various doses of NP for 4 h, 24 h, and 48 h and multiple endpoints were analyzed. Reactive oxygen species were generated after 48 h CuO NP exposure. Lipid peroxidation was induced after 4 h and 24 h treatment, regardless of NP and/or tested dose. DNA fragmentation and oxidation induced by Ag NP showed dose responses for all the periods. For other NP, the effects were observed for shorter exposure times. The impact on the frequency of micronuclei was weak. All the tested NP increased the sensitivity of MSC to apoptosis. The cell cycle was most affected after 24 h, particularly for Ag NP treatment. In summary, the tested NP induced numerous adverse changes in MSC. These results should be taken into consideration when planning the use of NP in medical applications where MSC are involved.
Anaphylactic Reactions to COVID-19 Vaccines: An Updated Assessment Based on Pharmacovigilance Data
Authors: Boufidou Fotini , Hatziantoniou Sophia , Theodoridou Kalliopi , Maltezou Helena C. , Vasileiou Konstantinos , Anastassopoulou Cleo , Medić Snežana , Tsakris Athanasios
Published: March 2023

This study aimed at producing an updated assessment of the incidence of anaphylaxis associated with COVID-19 vaccines based on pharmacovigilance data. Anaphylactic reaction and anaphylactic shock data post-COVID-19-vaccination reported from week 52, 2020 to week 1 or week 2, 2023 were collected from the VAERS and EudraVigilance databases, respectively, and analyzed comparatively. Incidence rates were calculated using the corresponding administered vaccine doses as denominators for all licensed vaccines and both platform types (mRNA or vectored). The latest data from the present analysis showed lower anaphylaxis incidence associated with COVID-19 vaccination compared to previous estimates from week 52, 2020 to week 39, 2021 (anaphylactic reaction: 8.96 (95% CI 8.80–9.11)/million doses overall (EEA: 14.19 (95% CI 13.92–14.47)/million/US: 3.17 (95% CI 3.03–3.31)/million); anaphylactic shock: 1.46 (95% CI 1.39–1.52)/million doses overall (EEA: 2.47 (95% CI 2.36–2.58)/million/US: 0.33 (95% CI 0.29–0.38)/million)). Incidence rates varied by vaccine and were higher as captured in EudraVigilance compared to the VAERS and for vectored compared to mRNA vaccines. Most reported cases had a favorable outcome. The extremely rare fatalities (overall rates across continents 0.04 (95% CI 0.03–0.06)/million doses for anaphylactic reaction and 0.02 (95% CI 0.01–0.03)/million vaccine doses for anaphylactic shock) were also associated with vector-rather than mRNA-based vaccines. The diminished incidence of anaphylaxis post-vaccination with COVID-19 vaccines offers assurance about their safety, as does the continuous potential adverse events monitoring through specialized pharmacovigilance databases.
Advanced Glycation End Products and Psoriasis
Authors: Maurelli Martina , Gisondi Paolo , Girolomoni Giampiero
Published: March 2023

Advanced glycation end products (AGEs) are biologically active compounds formed physiologically throughout a sequence of chemical reactions, to generate highly oxidant-reactive aldehydes that combine covalently to proteins. They accumulate slowly in tissues during ageing but also in metabolic and selected inflammatory disorders. Accumulation of AGEs occurs more rapidly and intensely in the skin and serum of patients with type 2 diabetes, obesity, cardiovascular diseases, chronic renal insufficiency, and non-alcoholic fatty liver disease and also in the skin of patients with psoriasis. All of the above conditions are intimately associated with psoriasis. Interaction of AGEs with their receptors (RAGEs) stimulates cellular signaling with the formation of reactive oxygen species and activation of nuclear factor kappa light chain enhancer of activated B (NF-kB), which is a key regulator in the expression of inflammatory mediators and the production of oxidative stress. Thus, AGEs may play an interesting pathogenic role in the intersection of inflammatory and metabolic diseases, may represent a biomarker of inflammation and a potential target for novel therapeutic strategies. This is a narrative review with the objective to summarize current evidence on the role of AGEs in psoriasis.
A Simple Line-Element Model for Three-Dimensional Analysis of Steady Free Surface Flow through Porous Media
Authors: Yuan Qianfeng , Yin Dong , Chen Yuting
Published: March 2023

Considering the fact that only pores can transport water, pores in the homogeneous control volume are conceptualized as a three-dimensional orthogonal network of line elements, which is in contrast to the continuum hypothesis in traditional numerical approaches. The related flow velocity, hydraulic conductivity and continuity equation equivalent to the continuum model are formulated based on the principle of flow balance. Subsequently, the unified form for flow velocity and continuity equation is established based on the local coordinate system, and a finite line-element method is developed, in which three-dimensional steady free surface flow is reduced to one-dimensional form, and the numerical difficulty is greatly decreased. The proposed line-element model is validated by the good agreements of free surface locations with other methods through steady flow in a rectangular dam and a right trapezoidal dam, respectively. It is found that the proposed line-element model is not heavily dependent on the mesh size and penalty parameter. Steady free surface flow on the left bank abutment slope of the Kajiwa Dam in Southwestern China is further evaluated, and a parabolic variational inequality algorithm based on the continuum model is also employed for comparison. The consistent results indicate that the proposed line-element model can capture the steady free surface flow behavior as well as the continuum-based method. Moreover, the proposed line-element model can rapidly achieve accurate solutions whether for simple examples or for complicated engineering applications.
Modelo econométrico de la demanda de carne de pollo en el cantón Olmedo Manabí-Ecuador
Authors: Cevallos Giler Rosa Angelica , Peña Veliz Isaura Vanessa , Díaz Montenegro José Alberto
Published: March 2023

El artículo se enmarca en realizar un pronóstico de la demanda de carne de pollo por su contribución en la eficiencia y eficacia de las empresas avícolas en Ecuador, a través de la aplicación de varios modelos econométricos, tales como la media móvil simple de dos periodos, media móvil simple de tres periodos, media móvil ponderada, suavizamiento exponencial con alfa y regresión lineal, con la finalidad de presentar una comparación entre los mismos e identificar cual es óptimo y proporciona un menor margen de error y valor absoluto. Esta investigación es de tipo descriptiva, cuantitativa y no experimental, lo que permite alcanzar el objetivo principal que es determinar la demanda de carne de pollo en relación con el número de habitantes del cantón Olmedo. Obteniendo resultados que demuestran que el más efectivo para pronosticar esta demanda es el modelo de regresión lineal.
Factores determinantes que influyen en la morosidad de la Universidad San Gregorio de Portoviejo
Authors: Moreira Moreira Rosalba Penelope , Mendoza Vinces Marcelo Eduardo
Published: March 2023

La USGP (Universidad San Gregorio de Portoviejo), es una universidad autofinanciada y sus actividades ordinarias provienen de los ingresos de las colegiaturas de los estudiantes durante los últimos tres años, registra una cartera vencida muy alta, en tal razón el objetivo de la investigación es analizar los factores que influyen en la morosidad de los estudiantes de la USGP, con la finalidad de aplicar estrategias para disminuir este índice y así evitar la deserción estudiantil. El estudio se realizó con un enfoque metodológico mixto, iniciando con el diseño de una encuesta dirigida a los estudiantes y entrevistas al personal de la Dirección Financiera de la institución, para conocer sobre las políticas que llevan con relación a las cuentas por cobrar (colegiaturas de los estudiantes).  En la encuesta realizada se determina que la mayoría de los estudiantes respondieron que la morosidad se debía a la situación económica. Así mismo, se evidenció que la institución no cuenta con un departamento o responsable, encargado formalmente de cobranzas, que dentro de sus políticas lleve un control y seguimiento a los estudiantes que no cancelan su colegiatura en el tiempo establecido por la institución, cuya implementación permitirá a la Universidad, disminuir el riesgo de crédito y cumplir sus objetivos institucionales de manera satisfactoria.
Clima laboral en el que interactúan los estudiantes universitarios durante sus prácticas pre profesionales
Authors: Villavicencio Rodas María Fernanda , Luna Cajamarca Daniela Elizabeth , Prieto Calberto Jorge Arturo , Feijoo Jaramillo Irene María
Published: March 2023

El objetivo de la presente investigación es evaluar los factores que explican el clima laboral en el que interactúan, los practicantes de la carrera de mercadotecnia, en las empresas de acogida. Se aplicó el método cuantitativo utilizando como instrumento una encuesta para recoger la información que permitiera contrastar el cuestionamiento planteado. El cuestionario responde a una escala de tipo likert graduada en cinco valores. Este cuestionario se aplicó a los 85 estudiantes que ejecutaron sus prácticas pre profesionales en los últimos tres períodos académicos. De acuerdo a los resultados, los estudiantes se encuentran satisfechos con las prácticas y con la empresa donde las desarrollaron; además, la relación con sus compañeros de trabajo fue muy buena y la empresa brindó la oportunidad de proponer el desarrollo de estrategias, conforme a su perfil profesional para asegurar la participación y el compromiso; es así que los estudiantes se sienten integrados en la empresa que los acogióEl objetivo de la presente investigación es evaluar los factores que explican el clima laboral en el que interactúan, los practicantes de la carrera de mercadotecnia, en las empresas de acogida. Se aplicó el método cuantitativo utilizando como instrumento una encuesta para recoger la información que permitiera contrastar el cuestionamiento planteado. El cuestionario responde a una escala de tipo likert graduada en cinco valores. Este cuestionario se aplicó a los 85 estudiantes que ejecutaron sus prácticas pre profesionales en los últimos tres períodos académicos. De acuerdo a los resultados, los estudiantes se encuentran satisfechos con las prácticas y con la empresa donde las desarrollaron; además, la relación con sus compañeros de trabajo fue muy buena y la empresa brindó la oportunidad de proponer el desarrollo de estrategias, conforme a su perfil profesional para asegurar la participación y el compromiso; es así que los estudiantes se sienten integrados en la empresa que los acogió
Análisis del crecimiento económico China-Ecuador
Authors: Delgado Delgado Dilmar Danilo , Suárez Calle Julia Alexandra
Published: March 2023

El presente artículo tiene como objetivo analizar la deuda que tiene el Ecuador con China y el efecto en el crecimiento económico del país en los periodos 2007 – 2019, para lo cual se tomó en   cuenta el valor de los flujos de capital, la deuda bilateral entre estos dos países y el PIB. Se utilizaron los métodos como el hipo- tético-deductivo, con un tipo de investigación analítica y cuantitativa, mediante la estadística descriptiva e inferencial permitió distinguir las características de los datos de forma sencilla. Así mismo, para establecer la relación entre variables del estudio,  se aplicó la correlación de Pearson en el programa SPSS con los datos obtenidos del Banco Central del Ecuador, Ministerio de Economía y Finanzas. Los resultados indicaron China está positivamente correlacionada con el PIB ecuatoriano, y el financiamiento chino está positivamente corre- lacionado con el PIB ecuatoriano. El nivel de inversión es de 0,14%, mientras que la correlación de fondeo es de 0,27%, por lo que se puede concluir que las dos variables están correlacionadas positivamente, aunque sus valores no son tan significativos.
DEVELOPMENT OF A MODULAR INDUCTION HEATER FORLIQUIDCARGO
Authors: Ablyazov E , Ablyazov K , Dorofeev E
Published: March 2023

The article discusses the heating of metal surfaces and conductive liquids by a traveling magnetic field, which,

closing through a non-magnetic gap along the walls of a ferromagnetic material and outside it, transfers thermal

energy to it due to eddy currents. The paper provides a review, analysis and preliminary calculation of a modular

induction linear heater. A conclusion is given at the end of the article
A COMPLETE SOLUTION THAT INCLUDES A SYSTEM ON THE ISOLATION, LIQUEFACTION AND USE OF HYDROGEN ON MARINE VESSELS TO IMPROVE ENVIRONMENTAL FRIENDLINESS MARINE POWER PLANT
Authors: Toriya T. , Epihin A , Kondratiev C , Modina M
Published: March 2023

The article reveals the potential and ecological importance of using liquefied hydrogen on civil fleet vessels as

fuel. The current requirements for the content of hazardous substances in exhaust gases, characteristics of the

average energy complex of a civil fleet vessel are considered. The calculation of the required amount of liquefied

hydrogen to provide a certain power capable of powering a number of ship consumers has been made. The

calculation of the amount of liquefied hydrogen that can be obtained by using a sectional filter with a graphene

membrane and a cryogenerator has been made. The conclusion is made about the high efficiency of hydrogen

storage batteries that receive hydrogen from the exhaust gases of a ship's power plant
ASPECTS OF VENTILATION PRINCIPLES IN SHIPS MACHINERY ROOMS
Authors: Volintiru O. , Epikhin A , Scurtu I. , Mărășescu D. , Florin I. , Bălan G.
Published: March 2023

are designed to circulate the air in the rooms on board, usually without heat treatment or humidity. Ventilation

systems consist of machines that provide the energy for air circulation (fans), main ducts connected to the

suction and exhaust of the fans, branches and distribution components. For machinery spaces related to ships,

ventilation systems are vital for the proper functioning of thermal engines used as propulsion systems. Gas

turbines are heat engines used as propulsion systems usually for special ships.
DEVOPS AND MODERN SERVER ARCHITECTURE
Authors: Rodygina I , Bidenko A. , Zghou M.
Published: March 2023

An integral part of any multi-user service is its server part. Data storage, authorization logic, algorithm requiring

security so that no user can find a vulnerability in the system. All this is assigned to the backend - the server

logic of the application. Without exaggeration, thousands and millions of users around the world depend on

security, stability, and continuous updating o f the server code. It is the responsibility o f each developer to ensure

the maximum performance o f the above properties.

The development o f any application depends on its architecture and the architecture o f each component. Previously,

setting up the server environment and developing the backend o f the service part were inseparable. But

applications are becoming more complex, system requirements are becoming more difficult to implement. Setting

up a server environment, automating work processes and updates are highlighted in a separate area o f

activity and the IT industry - DevOps. There are containerization tools, process automation tools, web servers

and much more in the world. And none o f these technologies are used in isolation. For a software developer

without appropriate DevOps skills, it is difficult to implement a competent server configuration
IDENTIFICATION OF THE MATHEMATICAL MODEL OF THE TANKER "NORDIC ARCTIC TANKER AT 19” USING DATA FROM FIELD EXPERIMENTS
Authors: Yudin Yu
Published: March 2023

The problem of identifying a mathematical model of a ship considered in this paper is easily immersed in the general problem of modeling and identifying models. From a general standpoint, the main content of sciencec an be recognized as the formation of models of one type or another based on the results of observations and the study of their behavior. Models can be formalized to varying degrees, but they all have one main property - they link observations into some general picture. Solving the problems of constructing mathematical models of dynamic systems based on observational data on their behavior is the subject of identification theory.
ENSURING IMMUNITY OF DATA TRANSMISSION OVER RADAR COMMUNICATION CHANNELS
Authors: Dancevich I. , Lyutikova M. , Zhumaev Zh.
Published: March 2023

The article explores the ways o f forming an adaptive coding algorithm 8/16 bits per baud for control or remote

control signals with specified quality criteria in a physically non-expandable data transmission channel. The

combination o f bearing and information exchange systems in one radar station faces difficulties in forming a

transmitted message. It is necessary to use noise-proof methods o f convolutional coding in order to detect

transmitted message bits in linear frequency modulation band o f the probing and reflected signals. The formation

o f a broadband signal using a fractional Fourier transform provides the formation o f message protocols

by multiplexing with orthogonal frequency division. The proposed coding method implements error-correcting

coding in the ratio o f 8 or 16 bits per baud. The use o f radio communication in the navigation radar band makes

it possible to implement the concept o f a combined intelligent transport system
DISTRIBUTION OF THE LENGTHS OF THE THREADS IN THE LOOP OF THE LOOP ROW OF THE KNITTED FABRIC
Authors: Zemlyakova Irina Ev. , Chebunkina Tatiana A.
Published: March 2023

This article updates the problem of designing the loop structure of knitted fabrics for technical purposes. Special attention is paid to the most important parameter – length of thread in the loop, which determines material consumption, ensures accuracy of calculation and reduction of production wastes. Existing instrumental methods of labour consumption are complicated and at that inaccurate, since they do not take into account deviations of geometric parameters of threads in the loop from their nominal values. The paper proposes a stochastic model describing the distribution of thread lengths in a loop of the loop row and describes a technique for checking the random sequence of thread length in a loop for stationary.
CULTURAL ANALYSIS OF THE EVOLUTION OF BUSINESS CORPORATE FASHION
Authors: Denisova Olga I. , Surzhenko Evgeny Yа.
Published: March 2023

Based on modern concepts of fashion theory, the analysis of evolutionary changes in the corporate business dress code of the period 1906-2020 from the standpoint of the influence of political and foreign economic factors is carried out. Ambivalent reactions from the participants of the dress code to the change of corporate style at each stage of evolution are revealed. It is established that the tightening of the corporate dress code is characteristic of the stages of macroeconomic recovery and is due to the increased intensity of competition, which confirms the consideration of examples of the evolution of the dress code of blue-chip companies. The rethinking of the dress code policy, up to the rejection of formalised requirements, is cyclical and occurs during periods when the appearance of employees ceases to be an effective method of increasing competitiveness, including due to the growth of "unspoken" violations – manifestations of ambivalence on the part of employees.
INVESTIGATION OF THE PROPERTIES OF FLAX-CONTAINING FABRICS WITH ELASTANE ATTACHMENT DURING REPEATED WASHINGS
Authors: Sulaiman Omar , Koytova Zhanna Yu. , Telitsyn Anatoly A. , Borisova Yelena N.
Published: March 2023

Fabrics with the attachment of elastomeric threads are now widely distributed. The addition of elastane in the form of combined threads changes their physical and mechanical properties. The paper studies the change in the properties of flax-containing fabrics with the addition of elastane, namely, thickness and breathability after several washes. It was revealed that the air permeability of fabrics decreases with an increase in the pre-tension of elastane and after repeated washings, the thickness decreases at the same time. It has been established that flax-containing fabrics with elastane embedding can have a textured surface – the density, for the evaluation of which the indicator “frequency of compression” is proposed. The frequency of compression of the fabric increases with an increase in the degree of pre-tension of the elastane, it becomes more frequent, uniform and lower wave height after repeated washes.
An Energy Level with Principal Quantum Number n=0 Exists in a Hydrogen Atom
Authors: Suto Dr. Koshun
Published: March 2023

The classical quantum theory of Bohr does not take the theory of relativity into account. The energy levels of a hydrogen atom, derived by Bohr, are known to be approximations. In this paper, the kinetic energy and momentum of an electron in a hydrogen atom are reated relativistically. This paper predicts the existence of an n=0 energy level present in a hydrogen atom. However, the state where n=0 is not an energy level of the electron comprising the hydrogen atom. It is thought that an electron in the n=0 state forms a pair with a positron, and constitutes the vacuum inside the hydrogen atom.
A Study on Consumer Awareness Towards Quality and Usage of Surgical Masks in Coimbatore City
Authors: Karthika E , Maheswari T , Gobikaa A.E.
Published: March 2023

Face masks must be worn in restaurants, grocery stores, and other public areas as part of the lifestyle change brought on by the COVID-19 epidemic. If you want to stop the spread of COVID-19, you must wear a mask, especially while you’re around other people. But if you venture outside of your “safe-at-home” paradise, you might see people with masks on in a number of different configurations, such as dangling from one ear, pushed down below the nose, or lying below the chin. These frequent errors reduce masking’s effectiveness and raise the wearer’s risk of contracting and disseminating the disease. Many COVID-19 patients don’t exhibit any symptoms, but they can still transmit the virus by speaking, sneezing, or coughing, which causes droplets to leave the mouth. Masking reduces COVID-19 incidences, even over time, according to scientific research. This paper provides an overview of what is currently known about using masks to protect against COVID 19. It addresses a variety of aspects of mask usage during the pandemic, such as the quality requirements for various face masks, consumer purchasing patterns, brand consideration, and knowledge of the effectiveness of face masks.
A Implementation of AI Technology in Banking Sector Based on Coimbatore City
Authors: Maheswari T , Karthika E , Anusrii K.R.
Published: March 2023

As the internet and early broadband emerged in the 1980s, digital networks connected shops with suppliers and customers, fueling a demand for the first online catalogues and inventory management systems. Early 2000s technological developments in broadband and e-commerce led to a situation that was somewhat reminiscent of the contemporary digital banking ecosystem. Through the following ten years, smart phones became widely available, paving the way for mobile payments outside of ATMs. If banks are to satisfy customer needs, they must continue to focus on creating digital technology that enables agility, scalability, and efficiency. Businesses’ capacity for creativity, adaptability, and variety may increase more than ever with the usage of artificial intelligence (AI). Numerous businesses are currently utilising AI to increase efficiency and competitiveness while quickening the digital revolution.
Physical Resource Management in Government Secondary Schools, Wolaita Zone, Southern Ethiopia
Authors: Derese Mebratu , Senapathy Marisennayya
Published: March 2023

The study explored physical resource management practices in the Wolaita Zone government secondary schools. A descriptive survey design was used to attain the study’s stated objective. Both quantitative and qualitative method was employed in this research. Sample respondents were drawn by available sampling technique due to their direct relationship with the issue under study and hence to gain sufficient information. The data was collected through questionnaires, interviews, document review and personal observation. Data gathered through questionnaires were quantitatively analyzed using percentage and mean values. Moreover, the data gathered through interviews, open-ended questions, observation and relevant documents were qualitatively analyzed. Having gone through these, the study found that resource management functions such as planning, inventory, purchasing, maintenance, participatory management and budget allocation for the provision of the required materials were poorly implemented. Purchasing physical resources revealed weaknesses in quality, quantity, time and price. There was ineffective maintenance of physical resources, unqualified storekeepers, and a lack of proper follow-up are reasons for the damage and wastage of such physical resources. The inventory practice and using inventory reports for decisions in the school were poor. The storage management system was in poor condition in all schools. The lack of users’ technical skills was a significant challenge for managing physical resources. Significant challenges were due to a lack of good storing and disposal strategy, proper distribution, and poor close follow-up.