bluuebunny/crossref_metadata_2025 huggingface dataset:
Manager’s Emotional Intelligence and Team Effectiveness: A Theoretical Review
Authors: Barinua Victor , Nwoji Chinenye Chika Chimere- , Ford Harry Opakiriba
Published: May 2022

The purpose of the study is to investigate the relationship between Managers Emotional Intelligence and Team Effectiveness. Team effectiveness are measured in two ways, cohesiveness and goal attainment while Managers Emotional Intelligence as has its dimensions as self-management, self-awareness and social-awareness. The methodology here is based on theoretical & conceptual literature review. It regards emotions and the conditions that might contribute to team effectiveness. Findings revealed that there is a strong and positive significant relationship between the study variables. The study then recommends that management should implement strategies that will encourage emotional intelligence and its dimension such as self-awareness, self-management, and social-awareness in order to achieve organizational goals.
Coronavirus and Study Abroad: A Detailed Account of the Suspension of a Program
Authors: Gibbs Benjamin
Published: May 2022

The University of Dallas Rome program, in the face of growing health and safety concerns, suspended its operations due to the accelerating COVID-19 pandemic in March of 2020. This brief article reflects on actions taken in the days and weeks leading up to the suspension of all activities and closes with a series of lessons learned and reflection questions. While universities and their study abroad programs are still responding to COVID-19 challenges, institutional leaders can learn a great deal from the experience and in preparation for future challenges. This article's reflections and open-ended questions seek to promote greater discussion and planning for those future challenges.

Abstract in Italian

Il programma di Roma dell'Università di Dallas, di fronte alle crescenti preoccupazioni per la salute e la sicurezza, ha sospeso le sue operazioni a causa dell'accelerazione della pandemia di COVID-19 nel marzo del 2020. Questo breve articolo riflette sulle azioni intraprese nei giorni e nelle settimane precedenti alla sospensione di tutte le attività e si chiude con una serie di lezioni apprese e domande di riflessione. Mentre le università e i loro programmi di studio all'estero stanno ancora rispondendo alle sfide del COVID-19, i leader istituzionali possono imparare molto da questa esperienza in preparazione delle sfide future. Le riflessioni e le domande aperte di questo articolo cercano di promuovere una maggiore discussione e pianificazione per queste sfide future.
Features of the use of regular and vector planning criteria in MES and APS systems
Authors: Zagidullin R.R.
Published: May 2022

The ambiguity of the use of regular planning criteria in the operational scheduling modules of the MES and APS systems is shown. Recommendations for the formation of vector planning criteria are presented. It is proposed to use the coefficient of alternativeness of work assignment to obtain more efficient schedules.
Keywords: regular planning criterion, vector criterion, coefficient of alternative assignment, matrix of criteria compatibility.
polysoft@list.ru
ИНВЕСТИЦИОННЫЙ КЛИМАТ И ЕГО ЗНАЧЕНИЕ В ЭКОНОМИКЕ СТРАНЫ
Authors: Эскиев М.А. , Борчашвили М.А-К.
Published: May 2022

Приток инвестиций в страну обеспечивает высокий уровень экономики и повышает уровень развития всех сфер деятельности. Чтобы создать благоприятную среду для развития инвестиционной политики, необходимо рассмотреть все сдерживающие факторы и разработать методику по устранению данных преград. Налаженная система государственного регулирования и использование современных инструментов по привлечению зарубежного капитала позволят достичь значительных результатов по со-зданию благоприятного инвестиционного климата на территории страны.
РОЛЬ КАДРОВОГО ОБЕСПЕЧЕНИЯ ОРГАНОВ ГОСУДАРСТВЕННОГО И МУНИЦИПАЛЬНОГО
УПРАВЛЕНИЯ
Authors: Дадаева М.С.
Published: May 2022

Осуществление в стране экономической и политической реформ, демократиза-ция государственной и общественной жизни, необходимость неотложного ре-шения многих социальных проблем объ-ективно требуют серьезных изменений в системе государственного управления и местного самоуправления. В статье рассмотрена роль кадровой политики в деле совершенствования действующей системы государственного и муници-пального управления, раскрыты теоре-тико-методоло-гические основы кадро-вой работы в органах государственной власти и муниципального управления. Также определяется роль кадровой по-литики в деле совершенствования совре-менной системы управления российским обществом, анализируется содержание кадровой работы в органах государ-ственного и муниципального управления.
ТЕОРЕТИЧЕСКИЕ ОБОСНОВАНИЯ МОТИВАЦИИ ПЕРСОНАЛА
Authors: Довлетмурзаева М.А. , Дикаева Х.М.
Published: May 2022

Система мотивации персонала в услови-ях рыночной экономики является одной из самых актуальных и своевременных про-блем. В процессе исследования проанали-зирована теоретическая составляющая мотивации персонала на предприятиях. В данной статье авторами были прове-дены теоретико-прикладные исследова-ния, позволяющие усовершенствовать инструменты мотивации и контроля персонала; выявлено, что мотивация персонала является важнейшим аспек-том успешного функционирования и раз-вития любого предприятия. В целях уве-личения мотивации персонала применя-ются материальные и нематериальные инструменты мотивации, которые не являются универсальными для предприя-тий из разных областей, однако синергия их применения способна в разы увели-чить уровень мотивации персонала на предприятии. Актуальность статьи обусловлена недостаточным количе-ством теоретического и практического материала по изучению особенностей мотивации персонала.
THEORETICAL AND METHODOLOGICAL FOUNDATIONS FOR STUDYING THE COMPETITIVENESS OF TOURISM SERVICE PRODUCERS ON THE EXAMPLE OF THE REPUBLIC OF TATARSTAN
Authors:   Kazan National Research Technological University, Kazan, Russia, Ragimkhanov Anatoly V. , Zhukovskaya Irina V. ,   Kazan National Research Technological University, Kazan, Russia
Published: May 2022

The scientific article reveals the methodological aspects of assessing the competitiveness of tourism service providers on the example of the Republic of Tatarstan. An assessment of the five largest tour operators in the region was made.
ADVANTAGES AND DISADVANTAGES OF VARIOUS TYPES OF MANAGEMENT STRUCTURES IN CONDITIONS OF DIGITAL TRANSFORMATION OF THE ECONOMY
Authors:   Vyatka State Agrotechnological University, Kirov, Russia, Milchik Irina V.
Published: May 2022

The activity of any business entity begins with the definition of its organizational structure, the allocation of departments, services, specialized units and the development of an enterprise management project. The effectiveness of building a management structure depends on the correctness and speed of bringing management decisions to the performers, as well as receiving feedback. In this paper the classification of management structures used in business is given, the features of each are highlighted, the advantages and disadvantages, the requirements for organizational forms and management structures formed at enterprises are noted. The importance of taking into account the economy developing at the present stage of digitalization in the construction of managerial relationships, the use of the main end-to-end technologies in the management process.
HEALTH FINANCING AND ORGANIZATION SYSTEM IN THE REPUBLIC OF GUINEA
Authors:   Bauman Moscow State Technical University, Moscow, Russia, Kostyrin Evgeny V. , Loua Moussa P. ,   Bauman Moscow State Technical University, Moscow, Russia
Published: May 2022

The scientific article analyzes the system of financing and organization of healthcare in the Republic of Guinea. The schemes of distribution of general expenses and public financing of health care are presented. A comparative analysis of the main strategic directions of health financing according to the National Health Development Plan for the period from 2015 to 2024 and private household spending on health care among African countries with a similar level of development was also carried out. The features, advantages and disadvantages of the healthcare system of the Republic of Guinea are shown, as well as distinctive features of the interaction of all participants in the healthcare system: the state, foundations, associations of doctors, state and commercial medical organizations (polyclinics and hospitals) in the field of improving the efficiency of providing medical care to the population.
METHODOLOGICAL ASPECTS OF CLUSTER POLICY DEVELOPMENT
Authors:   Povolzhsky Institute of Management – branch of RANEPA, Saratov, Russia, Perzhu Alena A. , Sadykov Ilya B. ,   Povolzhsky Institute of Management – branch of RANEPA, Saratov, Russia
Published: May 2022

The article discusses the methodological aspects of the development of cluster policy. A properly developed cluster policy determines the level of development of a cluster project. Understanding the rationale for cluster policy helps to form a clear vision of its goals and necessary policy instruments.
Diversidade de Organismos Edáficos em Campo Natural e Olericultura em Dom Pedrito, Município Situado no Bioma Pampa
Authors: Nascimento Shirley G. da S. , Hanke Daniel , Pina Ingrid Lucas , Ávila Mariana Rockenbach de , Pillon Clenio Nailto
Published: May 2022

Os organismos edáficos que habitam no solo exercem diversos papeis fundamentais no ecossistema do planeta, alguns são encarregados pela decomposição da matéria orgânica, disponibilizam nutrientes para o crescimento das plantas, melhoram a produtividade do solo, e ajudam a controlar os organismos indesejáveis no mesmo. O objetivo deste trabalho foi comparar a diversidade da fauna do solo em propriedades agrícolas no município de Dom Pedrito que está localizado no estado do Rio Grande do Sul. O estudo foi conduzido em duas propriedades rurais do município, com campo natural e produção olerícola. A coleta dos organismos edáficos ocorreu em janeiro (verão) do ano de 2020. Para a captura dos invertebrados foi utilizado armadilhas do tipo PROVID com espaçamento de 10m, totalizando 20 armadilhas em cada área. Depois de sete dias as armadilhas foram retiradas, levadas ao laboratório e posteriormente, encaminhadas para identificação. A fauna edáfica foi avaliada quantitativamente por meio da abundância das ordens, e qualitativamente por meio do Índice de Dominância de Simpson (D). Os parâmetros avaliados para a população da fauna edáfica foram riqueza: abundância, índice de diversidade de Simpson e de Shannon. Os grupos taxonômicos encontrados foram: i) Aracnídea (ácaros, aranhas, opiliões e escorpiões); ii) Hymenoptera; iii) Hemíptera; iv) Homóptera, v) Collembola; vi) Crustaceae e; vii) Demáptera.
CONCEPTUAL FOUNDATIONS OF ADAPTIVE BUSINESS MODELS DEVELOPMENT (SERVICE SECTORS CASE)
Authors: Омельяненко Віталій , Омельяненко Олена , Біла Валерія
Published: May 2022

In the modern conditions the most important priorities for companies deal with the company’s ability to adapt to changing environmental conditions, change the way they do business and determine the optimal business model that is effective in a dynamic environment and in the long term.  The article is devoted to the issues of transformation of business models as an iterative process aimed not only at studying the existing realities of the industry, but also at identifying the main possible directions for its further development. Based on modern approaches to business models development the steps in a sample business model review framework for the listed potentials are outlined. In the applied context, as an important factor in the adaptability of business models, we note digitalization, which has fully come into its own in a relatively short period of time. It completely changed the architecture of modern business models and required fundamental changes from all market participants. We can conclude that the potential of functional use of websites by enterprises by type of economic activity is not fully used.
A PRIMAL-DUAL IPMS FOR SDO PROBLEM BASED ON A NEW KERNEL FUNCTION WITH A LOGARITHMIC BARRIER TERM
Authors: Guemmaz A. , Djeffal E.A. , Bounibane B.
Published: May 2022

In this paper, we consider primal-dual Interior Point Method $(IPMs)$ for semidefinite optimization problem $(SDO)$ problems, based on a new kernel function with a logarithmic barrier term, which play an important role for generating a new design of primaldual (IPM) algorithms. New search directions and proximity functions are proposed, based on this kernel function.We proved that our algorithm has $\mathbf{O}\left( qsn^{\frac{sq+1}{2sq}}\log \left( \frac{n}{\epsilon }\right) \right) $ iteration bound for large-update methods and $\mathbf{O}\left(q^{2}s^{2}\sqrt{n}\log \left( \frac{n}{\epsilon }\right) \right) $ iteration bound for small-update methods. Finally, for its numerical tests, some strategies are used and indicate that the algorithm is efficient.
Effectiveness of acupoint therapy on motor function in patients with Parkinson’s disease: a protocol for systematic review and meta-analysis
Authors:   Ningbo town longsai hospital, Sun Yingying , Sheng Jili , Jin Xiaoqin
Published: May 2022

Review question / Objective: This protocol aim to evaluate the efficacy of the combination of acupoint therapy with conventional medication for the treatment of motor function in patients with parkinson’s disease compared to other treatment strategies based on conventional medication. Condition being studied: Parkinson’s disease (PD) is a complex progressive neurodegenerative disorder, resulting from the decrease of dopamine-producing cells in substantia nigra, which is characterized by motor symptoms (bradykinesia, static tremor, myotonia and postural instability) and various non-motor symptoms. To date, anti-parkinson drug treatment is the mainly strategy for PD, however, long-time usage of drugs can lead to motor complications that suffering millions of people in the world. Thus, many studies begin to add complementary and adjuvant therapy among routine treatment. Acupoint is a specific conception in traditional Chinese medicine which has a more direct stimulating effect on body without side effects. Although it have been applied and reported in many trails, improvements in motor function of PD still unclear. In this review, we systematically assess a variety of types of acupoint-based methods in the treatment of motor function in PD.
MODELING THE HEAT CONDUCTION IN NON-LINEAR INHOMOGENEOUS MEDIUM WITH PHASE TRANSFORMATION AND/OR CHEMICAL REACTIONS
Authors:   Ivanovo State Power Engineering University named after V.I. Lenin– ISPEU, Mizonov Vadim E. , Basova Elena V. ,   Ivanovo State Power Engineering University named after V.I. Lenin– ISPEU, Mitrofanov Andrey V. ,   Ivanovo State Power Engineering University named after V.I. Lenin– ISPEU, Shuina Elena A. ,   Ivanovo State Power Engineering University named after V.I. Lenin– ISPEU
Published: May 2022

A mathematical model of non-linear heat conduction in multilayer media with phase transformation and/or chemical reactions in the layers based on the theory of Markov chains is proposed. Some results of numerical experiments with the model are presented.
SYNTHESIS OF A CHEMICAL REACTOR CONTROL SYSTEM USING THE PRINCIPLES AND METHODS OF SYNERGETICS
Authors:   Ivanovo State University of Chemistry and Technology, Nevinitsyn Vladimir Yu. , Labutin Aleksandr N. ,   Ivanovo State University of Chemistry and Technology, Volkova Galina V. ,   Ivanovo State University of Chemistry and Technology
Published: May 2022

Using the method of analytical design of aggregated regulators the problem of analytical synthesis of a robust vector control system for the concentration of the target component and the temperature in a liquid-phase chemical reactor has been solved.
PREDICTION OF DIABETES USING MACHINE LEARNING
Authors:   Assistant Professor CSE (Data Science) Dept. Sreyas Institute of Engineering and Technology, Telangana, India, Srinivas AV , Ramya Abbireddy ,   CSE, Sreyas Institute of Engineering and Technology, Telangana, India, Chandralekha GT ,   CSE, Sreyas Institute of Engineering and Technology, Telangana, India, Vaagdevi Bhandaram ,   CSE, Sreyas Institute of Engineering and Technology, Telangana, India, Anand Goud K ,   CSE, Sreyas Institute of Engineering and Technology, Telangana, India
Published: May 2022

Diabetes mellitus could be a gathering of metabolic maladies wherever aldohexose levels area unit overly high. About 8.8% of the planet was diabetic in 2017. it's anticipated that this can reach nearly 100 percent by 2045. the numerous checks are that once AI based mostly classifiers area unit applied to such informational indexes for likelihood stratification, prompts lower execution. during this manner, our goal is to create up a efficient and vigorous Machine Learning (ML) framework below the presumption that missing qualities or anomalies whenever supplanted by a middle style can yield higher hazard stratification exactitude
Characteristic of Thermal Radiation on MHD Fluid Stream of Nano-Fluid over an Exponentially Elongating Sheet by Means of Warm and Mass Fluxes
Authors: Thummala Sankar Reddy  , P. Roja  , S. Mohammed Ibrahim  , Giulio Lorenzini  , Nor Azwadi Che Sidik
Published: May 2022

The present explore effort addresses the impact of radiation on MHD stream of an incompressible nano fluid due to an elongating elongating piece by warm and mass fluxes border situation. Similarity transformations are applied to attain the self-similar equations which are then solved numerically by means of shooting procedure alongside by means of 4th order Runge-Kutta method. Features of a variety of sundry constraints on the non-dimensional stream, thermal, nanoparticle volume fraction, local Nusselt & local Sherwood figures are visualized. Moreover the numerical values of friction factor, local Nusselt and Sherwood figures are also computed and analyzed.
CONTEXTO HISTÓRICO E POLÍTICOS DA EDUCAÇÃO PROFISSIONAL NO BRASIL
Authors: De Oliveira da Silva Isabela , Elias de Sousa Nilton
Published: May 2022

Este artigo reflete sobre a história da educação no Brasil, desde como a diferença entre as classes sociais influenciam sobre as oportunidades de educação no país, bem como os reflexos que ela nos impõe nos dias de hoje. Analisa como se deu a educação profissional diante as necessidades da vida moderna através da criação da dualidade do ensino médio e profissional, abordando a criação do ensino tecnólogo que fora equiparado ao ensino superior. Aponta as contribuições dos governos envolvidos durante o processo e sua evolução. Reflete sobre a formação dos docentes para o ensino profissional e as expectativas das futuras populações que atenderão este tipo de ensino, indicando caminhos que o ensino profissional deverá percorrer para que forme uma sociedade mais crítica, independente e empreendedora.
HyGAL: Characterizing the Galactic Interstellar Medium with Observations of Hydrides and Other Small Molecules. I. Survey Description and a First Look Toward W3(OH), W3 IRS5, and NGC 7538 IRS1
Authors: Jacob A. M. , Neufeld D. A. , Schilke P. , Wiesemeyer H. , Kim W.-J. , Bialy S. , Busch M. , Elia D. , Falgarone E. , Gerin M. , Godard B. , Higgins R. , Hennebelle P. , Indriolo N. , Lis D. C. , Menten K. M. , Sanchez-Monge A. , Möller T. , Ossenkopf-Okada V. , Rugel M. R. , Seifried D. , Sonnentrucker P. , Walch S. , Wolfire M. G. , Wyrowski F. , Valdivia V.
Published: May 2022

The HyGAL Stratospheric Observatory for Infrared Astronomy legacy program surveys six hydride molecules—ArH+, OH+, H2O+, SH, OH, and CH—and two atomic constituents—C+ and O—within the diffuse interstellar medium (ISM) by means of absorption-line spectroscopy toward 25 bright Galactic background continuum sources. This detailed spectroscopic study is designed to exploit the unique value of specific hydrides as tracers and probes of different phases of the ISM, as demonstrated by recent studies with the Herschel Space Observatory. The observations performed under the HyGAL program will allow us to address several questions related to the life cycle of molecular material in the ISM and the physical processes that impact the phase transition from atomic to molecular gas, such as: (1) What is the distribution function of the H2 fraction in the ISM? (2) How does the ionization rate due to low-energy cosmic rays vary within the Galaxy? (3) What is the nature of interstellar turbulence (e.g., typical shear or shock velocities), and what mechanisms lead to its dissipation? In this overview, we discuss the observing strategy, the synergies with ancillary and archival observations of other small molecules, and the data reduction and analysis schemes we adopted; and we present the first results obtained toward three of the survey targets, W3(OH), W3 IRS5, and NGC 7538 IRS1. Robust measurements of the column densities of these hydrides—obtained through widespread observations of absorption lines—help address the questions raised, and there is a very timely synergy between these observations and the development of theoretical models, particularly pertaining to the formation of H2 within the turbulent ISM. The provision of enhanced HyGAL data products will therefore serve as a legacy for future ISM studies.
Organic Carbonyls Are Poor Biosignature Gases in Exoplanet Atmospheres but May Generate Significant CO
Authors: Zhan Zhuchang , Huang Jingcheng , Seager Sara , Petkowski Janusz J. , Ranjan Sukrit
Published: May 2022

The search for signs of life beyond Earth is a crucial driving motivation of exoplanet science, fueling new work on biosignature gases in habitable exoplanet atmospheres. We study carbonyls, a category of molecules containing the C=O double bond, following our proposal to systematically identify plausible biosignature gas candidates from a list of all small volatile molecules. We rule out carbonyls as biosignature gases due to both their high water solubility and their high photolysis rate, despite their ubiquitous production by life on Earth, their critical importance in Earth’s life biochemistry, and their uniquely identifiable molecular spectral features in mid- to low-resolution spectroscopy. Even in scenarios where life is a large net source of carbonyls, we demonstrate that detection of carbonyls is not possible on even the most ideal habitable exoplanet, because only 10 ppb of carbonyls can accumulate under our most optimistic assumptions. Moreover, high biological fluxes of organic carbon gases, while mathematically possible, are likely biologically unattainable due to the resulting huge waste of carbon—a main building block for life. Our simulations show that photochemical processing of carbonyls leads to generation of CO in quantities that can reengineer the atmosphere, affirming the ambiguity of CO as an antibiosignature. Overall, we find that the expression of a carbonyl-producing biosphere by CO, though potentially detectable by the James Webb Space Telescope, is unable to be uniquely traced back to carbonyls. While carbonyls fail as a bioindicator, by investigating them we have made a significant step toward systematically assessing the biosignature gas potential of all small volatile molecules.
X-Ray and Ultraviolet Observations of the Eclipsing Binary V471 Tauri with XMM-Newton: X-Ray-Cycles, Eclipse Timings and Further Evidence of a Substellar Tertiary Companion
Authors: Chiodo Grace , Guinan Edward , Engle Scott , Ribas Ignasi , Larsen Conor
Published: May 2022

Few stars offer as much toward understanding fundamental aspects of stellar astrophysics and binary star evolution than the eclipsing binary V471 Tauri (DAZ+K2V; P = 12.52 hr). V471 Tauri (Tau) is the product of common-envelope binary evolution and a pre-cataclysmic variable. X-ray and UV (291 nm) observations were secured with XMM-Newton over ∼ 62 ks during 2019 September. X-ray and UV photometry show variations over the binary's orbit as well as flares. A precise eclipse timing was obtained from the UV photometry with the Optical Monitor. The timing was added to prior measures and fit with a 35.6 yr Light-Travel-Time-Effect (LTTE) Keplerian orbit of a substellar, tentative brown dwarf companion. However, this companion was not detected by VLT/SPHERE. The LTTE third-body solution appears reliable, now covering ∼50 yr of timings. The non-detection of the companion may be due to changes in its physical properties during the high-mass loss common envelope stage.
Microcatheter Crossing of Radial Artery Loops and Tortuosities: New Ideas in Reducing Trans Radial Approach Crossover
Authors: Vasilev Ivan , Spiroski Igor M. , Kostov Jorgo , Zafirovska Biljana , Jovkovski Aleksandar , Taravari Hajber , Kedev Sashko
Published: May 2022

BACKGROUND: Transradial access is currently the default access site for percutaneous cardiovascular interventions. Radial artery (RA) anomalies present a significant challenge in radial access success. RA 360-degree loops are an uncommon, but quite challenging vascular anomaly even for the most experienced radial operators.
CASE REPORT: We report on two cases of patients with complex RA loops referred for PCI through radial approach in a high-volume radial center. Pre-procedural RA angiography was performed in both cases identifying a 360-degree RA loop in the proximal part of the RA below the entrance into the brachial artery. In both cases, we present a novel “Microcatheter crossing” technique of the complex RA loop as a new strategy in overcoming even the most difficult radial adversary. After identifying the loop a hydrophilic wire 0.014 inch was used to cross the loop and extend it in the upper arm. Then a microcatheter ASAHI corsair (Asahi Intecc USA, Inc.) was advanced through the loop without difficulty. The microcatheter is advanced through the wire until middle of the upper arm. Hydrophilic wire is then exchanged with High Torque Iron man guide wire (Abbott Vascular). Again, the wire is advanced in the upper arm. Microcatheter is then removed and 5F catheter JR 4.0 or similar is advanced gently through the iron man wire with a clockwise rotation through the loop. Then, wire and catheter are pulled back to straighten the loop. The percutaneous angiography procedure was performed successfully in both cases.
CONCLUSION: Both patients were discharged without registered bleeding complications from place of puncture. They both reported slight pain during the beginning of the procedure in the arm of puncture, but without additional problems after the procedure.
A novel algorithm to solve nonlinear fractional quadratic integral equations
Authors: Talaei Younes , Micula Sanda , Hosseinzadeh Hasan , Noeiaghdam Samad
Published: May 2022

This paper addresses a new spectral collocation method for solving nonlinear fractional quadratic integral equations. The main idea of this method is to construct the approximate solution based on fractional order Chelyshkov polynomials (FCHPs). To this end, first, we introduce these polynomials and express some of their properties. The operational matrices of fractional integral and product are derived. The spectral collocation method is utilized together with operational matrices to reduce the problem to a system of algebraic equations. Finally, by solving this system, the unknown coefficients are computed. Further, the convergence analysis and numerical stability of the method are investigated. The proposed method is computationally simple and easy to implement in computer programming. The accuracy and applicability of the method is presented by some numerical examples.
Association of cerebral infarction with vertebral arterial fenestration using non-Newtonian hemodynamic evaluation
Authors: Mei Yuqian , Guan Debao , Tong Xinyu , Liu Qian , Hu Mingcheng , Chen Guangxin , Li Caijuan
Published: May 2022

Purpose

Cerebral artery fenestration is a rare vascular anomaly, but its existence has been increasingly documented. The association of cerebral infarction and fenestration is of great clinical interest, and the exact underlying mechanism remains unclear. This study aims to identify risk factors contributing to cerebral infarction by computational hemodynamics analysis.

Methods

Eight patients with image findings of fenestration structure were recruited in this research, in which four suffered fenestration-related cerebral infarction (A series) while the other four (B series) were set as control matched by the fenestration size. Three-dimensional models were reconstructed from the MRA images and computational simulations with non-Newtonian flow model were performed to get interested hemodynamic characteristics.

Results

The blood flow pattern was relatively separated along two channels of fenestration in series A compared with series B cases in Group 1-2, however, no significant difference was shown in Group 3-4. Quantitatively, planes were cut in the middle of fenestrations and the ratio of mass flow rate and area was calculated at systolic peak. Results showed that the side of the dominant blood supply was opposite between A and B series, and the dominant side was also opposite between small and large fenestrations. In infarction cases, the basilar top was distributed with larger areas of detrimental hemodynamic indicators and a larger concentrated high viscosity region.

Conclusion

The flow division condition throughout the fenestration structure has a key impact on further flow redistribution and flow pattern. The blood viscosity has the potential to be a useful tool in identifying the risk factors for cerebral infarction and more emphasis should be placed on the hemodynamic environment at superior cerebellar arteries.
Modeling exchange rate volatility: application of GARCH models with a Normal Tempered Stable distribution
Authors: Charfi Sahar , Mselmi Farouk
Published: May 2022

The aim of this paper is to examine exchange rate volatility using GARCH models with a new innovation distribution, the Normal Tempered Stable. We estimated daily exchange rate volatility using different distributions (Normal, Student, NIG) in order to specify the performed model. In addition, a forecasting analysis is performed to check which distribution reveals the best out-of-sample results. We found that the estimated parameters of GARCH-NTS model outperform the GARCH-N and GARCH-t ones for all currencies. Besides, we asserted that GARCH-NTS and EGARCH-NTS are the preferred models in terms of out-of sample forecasting accuracy. Our results indicating the performance of GARCH models with NTS distribution contribute to increase the accuracy of risk measures which is very important for international traders and investors.
Machine Learning Approach and Model Performance Evaluation for Tele-Marketing Success Classification
Authors: Koçoğlu Fatma Önay , Esnaf Şakir
Published: May 2022

Up to the present, various methods such as Data Mining, Machine Learning, and Artificial Intelligence have been used to get the best assess from huge and important data resource. Deep Learning, one of these methods, is extended version of Artificial Neural Networks. Within the scope of this study, a model has been developed to classify the success of tele-marketing with different machine learning algorithms especially with Deep Learning algorithm. Naïve Bayes, C5.0, Extreme Learning Machine and Deep Learning algorithms have been used for modelling. To examine the effect of class label distribution on model success, Synthetic Minority Oversampling Technique have been used. The results have revealed the success of Deep Learning and Decision Trees algorithms. When the data set was not balanced, the Deep Learning algorithm performed better in terms of sensitivity. Among all models, the best performance in terms of accuracy, precision and F-score have been achieved with the C5.0 algorithm.
COVID-19 Ventilator
Authors: Oyekola Peter Oluwatosin , Muduli Kamalakanta , Ngene Tochukwu Cyril , Syed Shoeb Ahmed
Published: May 2022

This study is focussed on the design and modelling of a low-cost ventilator design which can be developed using locally sourced materials in Nigeria. This is meant to aid in the Country’s fight against the current COVID-19 pandemic where there is a shortage of ventilators. The ventilator design in this research was based on a mechanical AMBU bag compression principle using the Volume-Control Ventilation(VCV) mode which will eliminate the need for manual compression which can be tedious and uncontrolled. The design is powered by an electric motor with variable speed and tidal volume control. It also features an alarm which alerts medical personnel of unstable conditions in the system parameters. This prototype shows that the mechanical compression systems is a viable and more economical option which provides the essential features required in the standard existing technologies.
A 2D Histogram-Based Image Thresholding Using Hybrid Algorithms for Brain Image Fusion
Authors: Srikanth M. V.  , Prasad V. V. K. D. V. , Prasad K. Satya
Published: May 2022

In this article an effort is made to identify brain tumor disease such as neoplastic, cerebrovascular, Alzheimer's, lethal, sarcoma diseases by successful fusion of images from magnetic resonance imaging (MRI) and computed tomography (CT). Two images are fused in three steps: The two images are independently segmented by hybrid combination of Particle swam optimization (PSO), Genetic algorithm and Symbiotic Organisms Search (SOS) named as hGAPSO-SOS by maximizing 2-dimensional Renyi entropy. Image thresholding with 2-D histogram is stronger in the segmentation than 1-D histogram. Remove the segmented regions with Scale Invariant Feature Transform (SIFT) algorithm. Also after image rotation and scaling, the SIFT algorithm is excellent at removing the features. The fusion laws are eventually rendered on the basis of type-2 blurry interval (IT2FL), where ambiguity effects are reduced unlike type-1. The uniqueness of the proposed study is evaluated on specific data collection of benchmark Image fusion and has proven stronger in all criteria of scale.
WSN Node Based on Adaptive Cuckoo Search Algorithm for Agricultural Broadcast Positioning
Authors: Liu Xiaobing
Published: May 2022

The node location of wireless sensor network (WSN) is actually a multi-dimensional constraint optimization problem for measuring distance and range error. A new adaptive cuckoo search algorithm is proposed to solve the problems of the standard cuckoo search algorithm, such as slow convergence rate and easy to get into local optimum. Firstly, the algorithm has a large searching space in the early stage and improves the global searching ability by adjusting the flight step length of Levy. Secondly, dynamic inertial weight and memory strategy are introduced for random swimming; therefore the algorithm can make full use of historical experience and improve the stability. Finally, simulation results show that the proposed algorithm can effectively improve the positioning accuracy without increasing the hardware cost.
A Blockchain-Based Privacy Protection Application for Logistics Big Data
Authors: Duan Huabin , Yang Jie , Yang Huanjun
Published: May 2022

Logistics business is generally managed by logistics orders in plain text, and there is a risk of disclosure of customer privacy information in every business link. In order to solve the problem of privacy protection in logistics big data system, a new kind of logistics user privacy data protection scheme is proposed. First of all, an access rights management mechanism is designed by combining block chain and anonymous authentication to realize the control and management of users' access rights to private data. Then, the privacy and confidentiality protection between different services is realized by dividing and storing the data of different services. Finally, the participants of the intra-chain private data are specified by embedding fields in the logistics information. The blockchain node receiving the transaction is used as the transit node to synchronize the intra-chain privacy data, so as to improve the intra-chain privacy protection within the business. Experimental results show that the proposed method can satisfy the privacy requirements and ensure considerable performance.
Construction of OBE Concept Autonomous Learning Mode in University Teaching Based on the Internet
Authors: Yang Fan , Fan Jiong
Published: May 2022

In order to meet the needs of life-long learning of the Internet of Things and the economic and social development of digital learning countries, we must actively explore the teaching mode of digital self-learning courses for college students. This article aims to explore the construction of an autonomous learning model based on the OBE concept of university teaching based on the Internet of Things technology. Through self-study of college students in the environment of Internet of Things and information technology, as well as the micro-course self-directed learning that carries the OBE concept, the results show that most students hold a positive attitude towards the autonomous learning model in the information environment. A survey that carries the OBE concept shows that the scoring dimensions of the content of the students' autonomous learning attitude survey before class are both 4.11. It can be considered that the micro-curriculum resources that carry the OBE concept can effectively help students to conduct autonomous learning.
Cotton Leaf Disease Detection Using Instance Segmentation
Authors: Udawant Prashant , Srinath Pravin
Published: May 2022

Cotton is one of the most important cash and fiber crops in India. Agricultural machine learning plays a very important role in this agricultural industry. In this paper, the use of an object detection algorithm namely Mask RCNN along with transfer learning is experimented to find out if it is a fit algorithm to detect cotton leaf diseases in practical situations. The model training accuracy is found as 94 % whereas total loss value is continuously decreasing as number of optimize iterations are increasing.
An Empirical Study of Soft Computing Approaches in Wireless Sensor Networks
Authors: Ansari Shahnawaz , Nagwanshi Kapil Kumar
Published: May 2022

The optimal CH selection for finding the shortest path among the CHs is improved by developing the hybrid K-means with Particle Swarm Optimization (PSO) based hybrid Ad-hoc On-demand Distance Vector (AODV) channelling algorithms. The alive nodes, total packet sending time, throughput, and NL are increased using this hybrid technique, whereas dead nodes and EC are minimized in the network. The proposed algorithm utilizes a rotational method of utilization of cluster head (CH) to ensure that all member nodes are utilized uniformly based on the incoming traffic. The proposed algorithm has been implemented, experimented with, and compared in performance with LEACH, DLBA and GLBA algorithms. The proposed hybrid approach outperforms the existing techniques regarding average energy consumption and load distribution.
Clinical and radiological results of using proximal femoral locking compression plate and proximal femoral nail antirotation for subtrochanteric fractures
Authors: Khadem Mehryar , Torkaman Ali , Pisoudeh Karim , Bahari Milad , Torkaman Parsa
Published: May 2022

The aim of this study was to evaluate the results of treatment of subtrochanteric femoral fracture in the use of proximal femoral locking compression plate (PFLCP) and proximal femoral nail antirotation (PFNA). This retrospective study was performed on patients who referred to Firoozgar Hospital in 2017 with subtrochanteric fracture. During follow-up, control radiographs were obtained from patients and the Harris Hip Score questionnaire was completed. Finally, the data were entered into Spss version 22 and then analyzed. A total of 56 patients were included in the study. Patients were divided into two treatment groups of 28: including groups with locking plate and nailing treatment. The results showed that the treatment was not significantly different in patients with subtrochanteric fractures who were treated with either intramedullary nailing or plate placement. There is no difference between the two groups in any of the parameters. The two groups were similar in terms of fracture classification, and finally no significant difference was found in terms of union findings. This study showed that clinical and imaging findings are not significantly different between the two groups of patients with subtrochanteric fracture who are treated with nailing or plate placement.
Using shallow temperature measurements to evaluate thermal flux anomalies in the southern Mount Meager volcanic area, British Columbia, Canada
Authors: Liu X , Chen Z , Grasby S E
Published: May 2022

Geothermal is a clean and renewable energy resource. However, locating where elevated thermal gradient anomalies exist is a significant challenge when trying to assess potential resource volumes during early exploration of a prospective geothermal area. In this
study, we deployed 22 temperature probes in the shallow subsurface along the south flank of the Mount Meager volcanic complex, to measure the transient temperature variation from September 2020 to August 2021. In our data analysis, a novel approach was developed to estimate the near-surface thermal
distribution, and a workflow and code with python language have been completed for the thermal data pre-processing and analysis. The long-term temperature variation at different depths can be estimated by modelling, so that the relative difference of deducing deeper geothermal gradient anomalies can
be assessed. Our proposed inversion and simulation methods were applied to calculating the temperature variation at 2.0 meters depth. The results identified a preferred high thermal flux anomalous zone in the south Mount Meager area. By combining with previous studies, the direct analysis and
estimation of anomalous thermal fields based on the collected temperature data can provide a significant reference for interpretation of the regional thermal gradient variation.
Efficacy appraisal of four regimens (granisetron, ketamine, dexmedetomidine, and lidocaine combined with fentanyl) for cystoscopy-associated sedation and analgesia and catheter-related bladder tolerance
Authors: Modir Hesameddin , Jafarirismani Rasol , Almasi-Hashiani Amir , Shamaii Kiana
Published: May 2022

The authors sought to quantify the clinical impacts of granisetron, ketamine, dexmedetomidine, and lidocaine combined with fentanyl, for procedural sedation and analgesia in cystoscopy and for bladder catheter tolerance. This double-blind trial recruited four stratified blocked randomized eligible groups of patients (n = 120) formerly identified as needing cystoscopy, each receiving one of the above four anesthetic agents. Dexmedetomidine-sedated subjects experienced less pain from 5 to 120 minutes after the beginning of procedure, and next the ketamine manifested a better pain relief experienced. Sedation score was found to be rather more satisfactory in the early-mentioned from 15 to 55 minutes and at 90 and 105 minutes after procedure. The mean opioid use was observed lower in the dexmedetomidine treated patients and next in the ketamine administered patients. Considering the findings emanating from the study and the lack of complications that need to be treated, dexmedetomidine and ketamine afforded superior pain relief, greater sedation, and less postoperative opioid use in patients undergoing cystoscopy, and thus, they could be suggested to be combined with fentanyl during outpatient cystoscopy.
Neuropsychiatric manifestations in post-COVID patients in second wave of pandemic
Authors: Pasupuleti Sreelatha , Suresh Roopa , Reddy Sanjay , Reddy YJ Visweswara
Published: May 2022

Introduction:

There is pooling and evolving literature on the neurological and psychological features of infection with severe acute respiratory syndrome (SARS)-CoV-2. Individuals treated for COVID may have persisting (long-haulers) and delayed onset of these symptoms. Focus has now shifted to the late sequelae of COVID infection, especially during the second wave of the pandemic. These post-COVID conditions vary in their presentation. Systematic approach is required to identify and quantify these late sequelae observed in COVID survivors.

Aim:

This study is set to evaluate the neuropsychiatric manifestations of post-COVID status patients consulting psychiatric and medicine outpatient clinic.

Materials and Methods:

The current study enrolled patients with post-COVID status visiting psychiatric/medicine outpatient clinics for neuropsychiatric symptoms which were persisting since their COVID infection or new-onset symptoms developing within 1 month of COVID infection. Psychiatric disorder is based on International Classification of Diseases 10 criteria while physician diagnosed the medical/neurological disorders.

Results:

A total of 60 patients visiting psychiatry outpatient clinic and 46 patients consulting medicine outpatient department were enrolled in the study. Majority had onset of psychiatric symptoms 15 days after being tested positive for COVID infection. Anxiety disorders, depression, adjustment disorders were the major psychiatric diagnosis. Fatigue and myalgia were the predominant neurological symptoms. Neurological symptoms were more prevalent in patients aged above 50 years with preexisting medical conditions and those hospitalized for COVID infection.

Conclusion:

Both psychiatric and neurological complications are evident as late manifestations of COVID infection. There is a need for longitudinal follow-up studies with control groups to assess post-COVID conditions. A better understanding of the post-COVID conditions and the factors that increase the proneness of an individual to these complications is essential. This knowledge will be beneficial in dealing with similar SARS infections in future.
Zeros of a table of polynomials satisfying a four-term contiguous relation
Authors: Luong Jack , Tran Khang
Published: May 2022

For any

A(z),B(z),C(z)\in\mathbb{C}[z]

, we study the zero distribution of a table of polynomials

\{P_{m,n}(z)\}_{m,n\in\mathbb{N}_0}

satisfying the recurrence relation

P_{m,n}(z)=A(z)P_{m-1,n}(z)+B(z)P_{m,n-1}(z)+C(z)P_{m-1,n-1}(z)

with the initial conditions

P_{0,0}(z)=1

and

P_{-m,-n}(z)=0

for all

m,n\in\mathbb{N}

. We show that the zeros of

P_{m,n}(z)

lie on a curve whose equation is given explicitly in terms of

A(z)

,

B(z)

, and

C(z)

. We also study the zero distribution of a case with a general initial condition.
The influence of parent rock, mining and processing technologies on the industrial quality of kaolin concentrate –case study from Bombowha kaolin, Ethiopia
Authors: W/Mariam Tilahun , Getaneh Worash
Published: May 2022

Bombowha kaolin deposit is a primary deposit formed mainly through weathering of granite and pegmatite. This research was designed to evaluate the influence of parent material, mining practices and processing technology on the quality of processed kaolin. Geochemical, mineralogical, and technological properties of kaolin were analyzed and field observations conducted to evaluate the influence. Samples of the parent rocks, kaolin deposit, Run-Of-Mine, and processed kaolin were analyzed for their geochemistry, mineralogy and physical properties. Results show that the kaolin derived from pegmatite has better quality (high alumina, low silica, better plasticity, low coloring elements and others) than the granite-derived one. The poor quality of the granite-derived kaolin is ascribed to its incomplete kaolinization as evidenced by the presence of minor halloysite. The geochemical analysis of the Run-Of-Mine shows close similarity to that of the parent granite demonstrating severe dilution during mining, hauling and storage of kaolin ore. The high pit-wall angle (80-85°), the rheologically weak overburden, old excavation machinery and unsystematic delineation of mineable portion of the deposit contributed to high level of dilution. The properties of processed kaolin show the wet processing method brought substantial improvement in the quality of the kaolin (Al2O3 increased by nearly 98% and SiO2 decreased by 36% with respect to the Run-Of-Mine). Had the feed kaolin ore not been diluted, the kaolin concentrate would have been better than what is achieved through the adopted processing method. Systematic mine design, selective mining, and graded stockpiling of kaolin ore are advised for better quality kaolin concentrate.