Miracle-dz/UniFAR-FTUs huggingface dataset:
Motivation as an Element of Managerial Decision Making in Manufacturing Companies: The Case of the Slovak Republic

On an international scale, it can be argued that the key currency of business entities is human resources. They are a dominant part of corporate assets. They are also decisive determinants of competitiveness if they work with adequate performance, which is influenced by motivation. Managers are aware of this and pay increased attention to the study of factors that increase the performance and motivation of employees. In Slovakia, the importance of human resources increased gradually after the transformation of the economy to market conditions; currently, the management of human resources corresponds to international standards. However, it is necessary to increase attention in the management of some areas that personnel managers have competence in. Motivation can be included among these. The submitted contribution deals with the motivation of employees, as the subject area is not sufficiently addressed in the conditions of the Slovak Republic. According to the analysis of motivational processes in selected manufacturing companies operating in Slovakia, changes are proposed in the motivational system to increase employee motivation. The aim is to reveal the important aspects of motivational policy. To achieve the research objective, a qualitative study of data collection was carried out using an unstructured questionnaire survey. A questionnaire was used to develop the hypotheses. After data collection, established hypotheses were tested using the chi-square test of independence. The data were analysed using descriptive and inferential statistics. According to the analysis, proposals for changes in the incentive system were developed. The recommendations are presented in the form of individual concrete proposals and measures in various areas within motivational processes, which, after implementation, have the potential to increase the level of employee motivation.
Anticancer effect of Triphala extract on the hepatocellular carcinoma cells in mice

Context: Triphala is a traditional herbal formulation consisting of dried fruits from three plants namely, Terminalia bellirica, Terminalia chebula and Phyllanthus emblica. Its traditional used to treat many ailments, including various types of cancers, health promotion, and longevity. Aims: To evaluate the ability of an aqueous extract Triphala (TPL) to inhibit the growth of Hepatocellular carcinoma cells (HepG2) and in mice. Methods: The anticancer activity of TPL and its composite extracts was assessed in vitro by MTT assay with HepG2 cells. The mice were inoculated with HepG2 cells and then divided randomly into six groups (6 mice/group): control group, positive control group (intraperitoneal with 3 mg/kg body weight doxorubicin), and TPL treatment groups (oral administrated with 50, 100, and 200 mg/kg body weight TPL, respectively). Anticancer activity based on body weight, tumor growth volumes, survival time, relative organ weight, and hematological parameters was determined after administrating the TPL for 14 consecutive days. Results: The results demonstrated that the TPL extract exhibited antiproliferative activity against HepG2 cells in a time-dependent manner of treatment. The selectivity index (SI) showed that TPL is highly selective (SI>3) against the HepG2 cell line and has no activity against non-tumor cells. Oral administration with TPL extract at the dose of 200 mg/kg body weight inhibited tumor growth volume and increase the survival time. No abnormality of hematological parameters, relative organ weight, body weight, and morphology of organs were observed. Conclusions: The TPL extract at the test doses was a non-toxic drug. Our finding reveals the anticancer efficacy of TPL extract.
Beam Size Estimation from Luminosity Scans at the LHC During 2015 Proton Physics Operation

As a complementary method for measuring the beam size for high-intensity beams at 6.5 TeV flat-top energy, beam separation scans were done regularly at the CERN Large Hadron Collider (LHC) during 2015 proton physics operation. The luminosities measured by the CMS experiment during the scans were used to derive the convoluted beam size and orbit offset bunch-by-bunch. This contribution will elaborate on the method used to derive plane-by-plane, bunch-by-bunch emittances from the scan data, including uncertainties and corrections. The measurements are then compared to beam size estimations from absolute luminosity, synchrotron light telescopes, and wire scanners. In particular, the evolution of the emittance over the course of several hours in collisions is studied and bunch-by-bunch differences are highlighted. METHOD In LHC 2015 proton physics operation, luminosity scans with a small beam separation have been used to derive an estimate of the beam size. Following [1], in the presence of a beam offset, the luminosity of a colliding bunch pair is given by Eqn. 1. L = frevN1N2 cos ( α 2 ) F 2πΣxΣy (1)
Pressures to Local Governments for Unrequired Ethics Policy Adoption

This study examines how isomorphic mechanisms that are either external or internal pressures of policy diffusion relate to unrequired ethics policy adoption by city governments. The analysis using the secondary data from the 2017 Florida League of Cities’ CityStats Survey and audited city financial statements gathered from the state reveals that the likelihood of ethics policy adoption is greater among the cities that pay their council members higher salaries, have a neighbor city with an ethics policy in the same county, are located in a home rule county, and have a council-city manager form of government. The findings suggest that institutional pressures play an important role in municipal ethics policy adoption, with the memetic external peer pressures most strongly associated with Florida cities’ ethics policy adoption.
An arbitrary Lagrangian‐Eulerian framework with exact mass conservation for the numerical simulation of 2D rising bubble problem

An arbitrary Lagrangian‐Eulerian framework, which combines the advantages of both Lagrangian and Eulerian methods, is presented to solve incompressible multiphase flow problems. The incompressible Navier‐Stokes equations are discretized using the side‐centered unstructured finite volume method, where the velocity vector components are defined at the midpoint of each cell face, while the pressure term is defined at element centroids. The pressure field is treated to be discontinuous across the interface with the discontinuous treatment of density and viscosity. The surface tension term at the interface is treated as a force tangent to the interface and computed with several different approaches including the use of Legendre polynomials. In addition, the several different discretizations of interface kinematic boundary conditions are investigated. For the application of the interface kinematic boundary condition, a special attention is given to satisfy both local and global discrete geometric conservation law to conserve the total mass of both species at machine precision. The mesh vertices are deformed by solving the linear elasticity equations due to the normal displacement of interface. The resulting algebraic equations are solved in a fully coupled manner, and a one‐level restricted additive Schwarz preconditioner with a block‐incomplete factorization within each partitioned subdomain is used for the resulting fully coupled system. The method is validated by simulating the classical benchmark problem of a single rising bubble in a viscous fluid due to buoyancy. The results of numerical simulations are found out to be in an excellent agreement with the earlier results in the literature. The mass of the bubble is conserved, and discontinuous pressure field is obtained to avoid errors due to the incompressibility condition in the vicinity of the interface, where the density and viscosity jumps occur.
A Variational Approach to Network Games

This paper studies strategic interaction in networks. We focus on games of strategic substitutes and strategic complements, and departing from previous literature, we do not assume particular functional forms on players' payoffs. By exploiting variational methods, we show that the uniqueness, the comparative statics, and the approximation of a Nash equilibrium are determined by a precise relationship between the lowest eigenvalue of the network, a measure of players' payoff concavity, and a parameter capturing the strength of the strategic interaction among players. We apply our framework to the study of aggregative network games, games of mixed interactions, and Bayesian network games.
MILK YIELD AND COMPOSITION OF DAIRY CATTLE DURING DRY SEASON IN SELECTED DAIRY FARMS IN KANO STATE, NIGERIA

The aim of the study was to assess the milk yield and composition of dairy cattle of different locations during dry season in selected dairy farms in Kano state. One hundred and twenty lactating cows (different stages of lactation) include Bunaji, Bokoloji, Fresian x Bunaji were used, ten from each twelve dairy farms to assess milk yield and composition. Daily milk yield was recorded for two months. Five milk samples from each farm were analysed for its composition. Danbatta farm was the best in average daily milk yield (ADMY) of 3.86l, Dantube farm was the lowest of 2.49l which differ (p<0.001), Imawa arewa, Asibitin tafasa and Lautaye farms didn’t vary other farms differ. Fat(%) did not vary in all the farms, TS(%) Total solid, TA(%) Titrable acidity, CP(%) Crude protein, Ash(%), SNF(%) Solid non fat differ (p<0.001). Tsaunin fulani farm was the best in Fat(%) 4.26, Asibitin tafasa farm was the lowest of 3.84. Lautaye was the best in TS(%) 57.2, Dakatsalle was the lowest of 38.8. Imawa arewa was the best TA(%) of 0.38, Dakatsalle, Kuki and shinkafi farms are the lowest of 0.29. Imawa arewa, Danbatta and Kwanar dumawa farms are the best in CP(%) 4.24, Kuki farm was the lowest of 3.46. Dantube farm was the best in Ash(%) of 0.54, Dakatsalle, Kuki are the lowest of 0.32. Lautaye was the best in SNF(%) 52.96, Dakatsalle farm was the lowest of 34.6. Fat(%) differ (p<0.05), TS(%) (p<0.001) among the breeds while their ADMY, TA(%), CP(%), Ash(%), SNF(%) did not vary. Bunaji was the best in Fat(%) of 4.22, TS(%) 50.2, SNF(%) 45.74 with ADMY of 2.74l. Fresian x Bunaji was superior in CP(%) 4.24, lowest in Fat(%) 3.88, Ash(%) 0.44, TS(%) 39.2, SNF(%) 35.32 with the best ADMY of 4.01l. Bokoloji was superior in Ash(%) of 0.47 lowest in TA(%) 0.31 with ADMY of 2.67l. Therefore, Danbatta farm, Fresian x Bunaji with the best milk yield, Tsaunin fulani farm with the best Fat(%), Lautaye farm TS(%), Imawa arewa TA(%), Imawa arewa, Danbatta and Kwanar dumawa farms CP(%), Dantube farm Ash(%), Lautaye farm SNF(%), Bunaji breed with the best Fat(%), TS(%), TA(%), SNF(%), Bokoloji breed Ash(%), Fresian x Bunaji CP(%) was recommended. Milk yield and composition varied between dairy breeds, herds of the same breed and even between individual cows of a breed.
Late Decrease in Cerebral Blood Flow in Bacterial Meningitis: More than a Simple Normalization of Acute Inflammatory Vessel Wall Architecture?

Acute bacterial meningitis is a disease with an overwhelmingly high mortality rate and high incidence of adverse neurological sequelae and poor neurological recovery amongst survivors. Amongst the numerous complications of bacterial meningitis, the presence of cerebrovascular disease represents a severe disease form. Vascular involvement during bacterial meningitis has long been established by numerous pathological and angiographic studies. Cerebrovascular changes known to occur in bacterial meningitis ranging from narrowing of large arteries by vasospasm to critical stenosis/obliteration of small to medium sized arteries/arterioles by vasculitis. Not surprisingly, alterations in CBF velocities have commonly been described during the inflammatory process and may represent an important component of brain injury during meningitis. In accordance with previous studies observing a biphasic cerebral flow pattern characterized by an early but transient increase in flow velocity, mostly due to reflexive vasospasm, and later by a sustained decrease in flow velocity, likely attributable to stenotic vasculitis, cerebral ischemia is a notable complication of bacterial meningitis during the advanced disease phase. Impaired cerebral perfusion during the late stages of disease may result from a variety of factors that contribute to a vital component of cerebral injury in bacterial meningitis. The pathogenesis of cerebral ischemia with progression of disease course is less clearly understood but may involve a complex interaction between inflammatory processes, systemic dysfunction, energy impairment, neuronal damage and intracranial pressure, factors of which we aim to more precisely understand and assign a more definite contributory role in the development of cerebrovascular ischemic consequences with advanced stages of bacterial meningitis.
Electronic and magnetic properties of Al-doped WS2 monolayer under strain

Abstract Magnetic properties of Al-doped WS2 monolayer under strain are investigated by ab initio methods. Without strain, the Al-doped WS2 monolayer is a nonmagnetic nano material. We applied strain to Al-doped WS2 monolayer from –10% to 10%. Under tensile strain, ranging from 3% to 10%, the system always keeps nonmagnetic and changes from semiconductor to metal-like material. The magnetic moment gets a maximum value of 3.03 μB at –3% compressive strain. However, the magnetic moment of system decreases to zero gradually as the compressive strain increases. The coupling among the 3s states of Al, 5d states of W and 3p states of S is responsible for the strong strain effect on the magnetic properties. Our studies predict Al-doped WS2 monolayer under strain to be candidates for application in spintronics.
On a Possibility of a Side Impact Collision Analysis

In this paper a potential use of the tangential coefficient of restitution has been analyzed on the basis of a computer simulation regarding a typical side oblique collision of two motor vehicles. The simulation was performed in PC-Crash 8.0 software. The results obtained for a side impact have been analyzed along with the tangential phenomena occurring between the colliding vehicles. This simulation was repeated for the three adopted values of the coefficient of restitution. Next the adopted coefficient of restitution was divided into two components, one normal and one tangential, which has been described in further parts of the paper. The obtained results were then compared with the certain analytical calculations basing on the vehicle crash model for a vehicles performing a planar motion but with the phenomena between their bodies included. Also a rough surface collision theory was used. The aim of this analysis was to examine whether the coefficient of restitution divided into two perpendicular com - ponents will alter the results obtained from the analytical calculations and if it is worthy considering such division in analyzing the real accidents in road traffic. Also it has been considered whether such complication of a vehicle crash model is useful and necessary.
Higher Efficiency and Stability in Planar Homojunction Hybrid Antimony (MA3Sb2I9)- Based Perovskite Solar Cells

A strong candidate for photovoltaic technology, perovskite-based solar cells with a planar structure offers a very high power conversion efficiency (PCE). In the meantime, the strive for lead-free perovskites solar cells (PSCs) is also enhanced owing to the extremely hazardous and carcinogenic nature of lead. Due to their advantageous physical, chemical, optoelectronic, and stability properties, hybrid antimony-based materials have been proposed as an alternative and potential replacement for hazardous lead-based perovskite with the aim of obtaining harmful lead-free PSCs. Recombination in the perovskite layers reduces the performance of hetero-junction-based devices. The homojunction is suited for further PCE improvement because of the electric field that is already there; this will increase the transmission of photo-generated charge carriers while reducing recombination losses. The present work is a comprehensive analysis of planar homojunction perovskite photovoltaic devices based on MA3Sb2I9. Our study reports that the reported PSCs have PCE of 19.84% for the AM1.5 solar spectrum. Additionally, pn-homojunction has been added, which increases the efficiency of the reported device to 21.16%. Thus, this study indicates that the lead-free PSCs are extremely promising and they can be designed for a wide range of photovoltaic applications.
Searching Electric Dipole Moments in Storage Rings - Challenges, Status and Computational Needs

Full spin tracking simulations of the entire experiment are absolutely crucial to explore the feasibility of the planned storage ring EDM (Electric Dipole Moment) experiments and to investigate systematic limitations. For a detailed study during the storage and buildup of the EDM signal, one needs to track a large sample of particles for billions of turns. Existing spin tracking programs have to be extended to properly simulate spin motion in presence of an EDM. In addition, benchmarking experiments are performed at the Cooler Synchrotron COSY to check and to further improve the simulation tools. Finally, the layout of a dedicated storage ring has to be optimized by a full simulation of particle and spin motion.
Variétés de Prym et jacobiennes intermédiaires

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Delayed SARS-COV-2 clearance in infected persons in Ghana

Summary Objective This study aimed to determine the duration of SARS-CoV-2 clearance in persons in Ghana. The research question was whether the duration of virus clearance in Ghana matched the 14 days recommended by the World Health Organization (WHO); this had direct implications for transmission, which was key in managing the COVID-19 pandemic. Design This was a retrospective analytical study. Setting All facilities that submitted clinical specimens to Noguchi Memorial Institute for Medical Research (NMIMR) for SARS-CoV-2 diagnosis between March to June 2020 were included in the study. Interventions Samples from 480 persons who tested positive for SARS-CoV-2 by RT-PCR from March to June 2020 at NMIMR and submitted at least two follow-up samples were retrospectively analysed. Individuals with two consecutive negative RT-PCR retesting results were considered to have cleared SARS-CoV-2. Results The median time from the initial positive test to virus clearance was 20 days (IQR: 5-56 days). This was six days longer than the WHO-recommended 14 days, after which infected persons could be de-isolated. Sputum and nasopharyngeal swabs proved more sensitive for detecting viral RNA as the infection progressed. At a significance level of 0.05, age and sex did not seem to influence the time to SARS-CoV-2 clearance. Conclusions The median time to SARS-CoV-2 clearance in this study was 20 days, suggesting that SARS-CoV-2 infected persons in Ghana take longer to clear the virus. This finding calls for further investigations into whether patients who remain PCR positive continue to be infectious and inform isolation practices in Ghana. Funding The study was supported by the Ministry of Health/ Ghana Health Service through the provision of laboratory supplies, the US Naval Medical Research Unit #3, the World Health Organization, the Jack Ma Foundation and the Virology Department of Noguchi Memorial Institute for Medical Research, University of Ghana. Research projects within Noguchi Memorial Institute for Medical Research contributed reagents and laboratory consumables. However, the authors alone are responsible for the contents of this manuscript.
Tennis betting: can statistics beat bookmakers?

We propose a logistic regression model to predict the win probability in a tennis match. The variables included in the model are ATP points and rankings, the players' ages, the home factor and the information derived from bookmaker odds. The model is estimated using data related to 2012 tournaments, and it is then used in an out-of-sample betting experiment where the odds implied by the model are used, following a specific procedure, for betting against bookmakers. The algorithm is applied to all matches of the four Grand Slam Championships 2013, and the whole procedure is evaluated with respect to the global return of the strategy. After 501 matches, the total cumulative return is 15.9\%.
Efficient Difference and Ratio-Type Imputation Methods under Ranked Set Sampling

It is well known that ranked set sampling (RSS) is more efficient than simple random sampling (SRS). Furthermore, the presence of missing data vitiates the conventional results. Only a minuscule amount of work has been conducted under RSS with missing data. This paper makes a modest attempt to provide some efficient difference- and ratio-type imputation methods in the presence of missing values under RSS. The envisaged imputation methods are demonstrated to provide better results than the existing imputation methods. The theoretical results are enhanced by a computational analysis using real and hypothetically generated symmetric (Normal) and asymmetric (Gamma and Weibull) populations. The computational results show that the proposed imputation method outperforms the existing imputation methods in terms of its higher percent relative efficiency. Additionally, the impact of skewness and kurtosis on the efficiency of the suggested imputation methods has also been calculated.
Framework for Deriving Macroscopic Demand Functions from Microscopic Acceleration Models

Vehicle acceleration plays an integral role in determining the operational capacity of roadway sections. Traditional first-order macroscopic models of traffic do not capture the boundedness of vehicle acceleration. In a recent study, it was shown that the cell transmission model could capture critical macroscopic effects of bounded acceleration if one modified the demand function such that traffic demand (sending flow) decreased in density for congested traffic. However, such a modified demand function was calibrated only with data. This paper introduces a framework for deriving such macroscopic demand functions corresponding to well-known microscopic acceleration models. Two mechanisms are explored for deriving the demand function with varying assumptions on how vehicles accelerate within a single discretized cell. The first mechanism is based on the assumption that vehicles within a single cell begin accelerating at the same time and that this information of the trigger of acceleration propagates instantaneously. The second mechanism assumes that the information for the trigger propagates within the cell at a finite speed such that following vehicles begin their acceleration process later than the leading vehicles. The derived demand functions are consistent with those calibrated with data. This study explicitly bridges macroscopic and microscopic models of bounded acceleration and can lead to more efficient evaluation of the effects of bounded acceleration on traffic systems.