Miracle-dz/UniFAR-FTUs huggingface dataset:
X-Ray Mass Estimates at z ~ 0.3 for the Canadian Network for Observational Cosmology Cluster Sample

Results are presented from the analysis of ROSAT High-Resolution Imager (HRI) and Position-Sensitive Proportional Counter (PSPC) observations of the Canadian Network for Observational Cosmology (CNOC) subsample of the Extended Medium-Sensitivity Survey (EMSS) high-redshift galaxy clusters. X-ray surface brightness profiles of 14 clusters with 0.17 < z < 0.55 are constructed and fit to isothermal β models. Where possible, we use both the HRI and PSPC data to constrain the fit. Under the assumptions of isothermality, hydrostatic equilibrium, and spherical symmetry, we derive total X-ray masses within a range of radii from 141 to 526 h-1100 kpc. These masses are compared with both the dynamical masses obtained from galaxy velocities and the projected masses from published gravitational lensing studies. We find no systematic bias between X-ray and dynamical methods across the sample, with an average MDyn/MX=1.04 ± 0.07, although individual clusters exhibit mass discrepancies up to a factor of 2. We estimate that the systematic effects due to cooling flows, nonequilibrium systems, and temperature gradients affect the average mass ratio by no more than 15%-20%. Weak gravitational lensing masses appear to be systematically higher than X-ray results by factors of ~50%, while strong-lensing estimates show larger discrepancies (factors of ~2.5). However, these comparisons are complicated by the need to extrapolate the X-ray data to larger or smaller radii. We calculate X-ray-derived cluster gas masses, from which we obtain a cluster baryon fraction of ~5% h-3/2100, yielding Ω0~0.3 h-1/2100.
Women and Men Speaking: Frameworks for Analysis. Kramerae,

This book is the most recent and one of the more comprehensive treatments of gender-related speech styles. In the book, one of Newbury House's tidy paperbacks, Kramerae investigates reasons for the "differing evaluations of women's and men's speaking" (p. xiv), and employs aspects of four different theoretical frameworks in her discussion. The major contributions of the book lie, in fact, in the framing of the investigation in theory (or theories), and in the asking of why women are viewed as speaking differently from men. Much of the recent literature on ways women and men speak differently and ways of speaking differently aboutwomen and men (e.g. Thorne and Henley 1975; Berryman and Eman 1980; and others) has lacked a foundation in theory, and has been largely geared to descriptions of differences rather than explanations. Kramerae does not offer any conclusive explanations, but she asks questions which may lead to further and more explanatory research.
PROACTIVE PERSONALITY AND INNOVATIVE BEHAVIOR: ROLE OF TASK CONFLICT AND WORK AUTONOMY (STUDY ON STATE CIVIL PERSONNEL IN THE CITY GOVERNMENT OF SURAKARTA)

This study aims to determine the effect of proactive personality on innovative behavior through task conflict and job autonomy (study on Civilian Personnel in The City Government of Surakarta). This study uses a quantitative approach with a causal comparative design. The research was conducted on 203 Regional Device Operation employees of the City Government of Surakarta. Sampling technique with cluster sampling. Data is collected by a survey using an electronic questionnaire in the form of a google form. Data are analyzed by SEM PLS analysis. The results show that proactive personality has a significant and positive effect on innovative behavior. Proactive personality has a significant and positive effect on task conflict. Task conflict proved to have a significant and positive effect on innovative behavior. Job autonomy has been shown to have a significant and positive effect on innovative behavior. Task conflict has been shown to mediate the relationship between proactive personality and innovative behavior with a reinforcing effect. Job autonomy has not been shown to moderate the relationship between proactive personality and task conflict. The further research could be conducted to investigate other factors that mediate and moderate work innovation such as self-efficacy and job involvement.
The Impact Of Inventory Management On The Profitability Of Manufacturing Companies In Nigeria

an efficient inventory Abstract: Inventory constitutes a major segment of total investment in manufacturing companies, therefore its management remains very crucial. This study therefore examines the effect of Inventory Management on the profitability of the manufacturing industry. The objectives of the study are to examine the effect of Inventory management on return on asset, investment, net operating margin, and net income of manufacturing firms in Nigeria using manufacturing companies in food and beverages operating in Nigeria as at the time of this study. This study employed the ex-post facto research design and covered a period of 5years from 2015 – 2019. Both descriptive and inferential methods of data analysis were employed. The study reveals that inventory management has significant effect on return on asset, investment, net operating margin, and net income of manufacturing firms in Nigeria. Based on the findings of this study, the following recommendations were proffered: management should avoid tying down of capital on inventory by employing Just-in-Time (JIT) system of inventory; they should also reduce credit sales or average collection period for easy conversion of inventory to cash. This will enable companies to have enough cash to settle their obligations as at when due; the companies should maintain a closer watch on their inventory conversion period by constantly reviewing processes of payment by creditors so to avoid liquidation. and professionals in the field of inventory management should be hired by these companies for advice.
Surface Acoustic Wave Properties of La3Ta0.5Ga5.5O14 Single Crystals

The propagation characteristics of Rayleigh waves on a La3Ta0.5Ga5. 5O14 (LTG) substrate were theoretically investigated for all cuts and propagation directions. The material constants, such as the elastic stiffness, piezoelectric constants and their thermal coefficients, were measured by the resonant and antiresonant frequency method. The existence of orientations with zero-temperature coefficient of delay (TCD) was calculated by computer analysis. The electromechanical coupling coefficient (k2) is about three times larger than that of ST-cut quartz. The phase velocity is approximately 2690 m/s. These results indicate a large possibility for application to wide-band intermediate-frequency surface acoustic wave (SAW) filter devices.
UNCERTAINTY PROPAGATION AND SENSITIVITY ANALYSIS IN HYDROLOGY

This project presents an application of uncertainty quantification techniques, namely polynomial chaos expansions (PCE) and sensitivity analysis (SA), in a hydrology context. More specifically, a Sobol’ analysis on a subset of the parameters of the physically based and fully distributed rainfall-runoff model TOPKAPI-ETH (TE) is performed. The analysis uses a PCE-based approach, and for a relatively low amount of model evaluations is shown to perform reasonably well for all the investigated hydrological quantities. These are a total of 30 scalar values obtained from roughly 1000 TE model runs using a 3-year simulation time span, and describe: magnitude and volume of discharge flood events, 7-day low flows, average snow cover and evapotranspiration averages. For each one a PCE was computed using the (hybrid) LAR algorithm, and afterwards the Sobol’ indices were obtained from post-processing of the coefficients of said PCE. The results obtained can help hydrologists start the calibration process while appropriately considering the importance of all the model parameters.
ANALYSING EMPLOYEE ATTRITION USING MACHINE LEARNING

Technology has brought in revolutionary changes in the business processes of organizations with technologies like Big Data Analytics, Artificial Intelligence and Robotics. Predictive analytics is one such innovative technology which is widely used by organizations. With the advent of computers in all areas of work, organizations possess massive amounts of data in structured and unstructured forms. An analysis of these data by using technology like data mining paves way for predicting future trends and behavior, which in turn results in more data driven decision making. These predictions can be made in various functional areas of an organization. The rationale of this study is to use data mining techniques to understand the factors influencing attrition of human resources using Weka. Weka is a data science tool that can be used for predictive analytics. In knowledge-based organizations, attrition is a severe apprehension because it affects the competitive strength of business. Weka can be employed to cluster data with techniques like k-means algorithm to explain the factors leading to attrition. A comparison of algorithms in Weka can also be made to understand the effectiveness. The dataset provided by IBM is used for this study
First Benzodiazepine prescription, determinants and related effects over duration of untreated illness in patients with Psychotic and Affective Disorders

It is established that delayed effective pharmacotherapy plays a significant role in the overall burden of psychiatric disorders. Often, such conditions are treated with symptomatic drugs, i.e. benzodiazepines (BZDs), in relation to their rapid onset of action and safety, despite long-term side effects. Our aims were to assess the influence of treatment with BZDs on the duration of untreated illness (DUI) and whether specific socio-demographic and clinical factors could influence the choice of BZD as first treatment in 545 patients affected by Schizophrenia, Mood and Anxiety spectrum disorders. Statistical analyses (One-way ANOVA and χ2) were performed to compare patients who used BZDs as first treatment (BZD w/) and those who did not (BZD w/o). The overall DUI, regardless to diagnosis, resulted significantly longer in BZD w/ patients, who also experienced more frequently anxious/depressive symptoms at onset. Furthermore, BZDs w/ patients more frequently had first therapist contact following a personal decision (more frequently with psychologists or general practitioners) and experimented more frequently phobias, than BZDs w/o ones. Present findings suggest that BZDs may lengthen the overall DUI and that their prescription seems to be influenced by specific socio-demographic and clinical factors. Further studies are needed to confirm present findings.
Effective field theories of heavy-quark mesons

We study the masses of the low-lying charm and bottom mesons within the framework of heavy-hadron chiral perturbation theory. We work to third order in the chiral expansion, where meson loops contribute. In contrast to previous approaches, we use physical meson masses in evaluating these loops. This ensures that their imaginary parts are consistent with the observed widths of the D-mesons. The lowest odd- and even-parity, strange and nonstrange mesons provide enough constraints to determine onlycertain linear combinations of the low-energy constants (LECs) in the effective Lagrangian. We comment on how lattice QCD could provide further information to disentangle these constants.Then we use the results from the charm sector to predict the spectrum of odd- and even-parity of the bottom mesons.The predicted masses from our theory arein good agreement with experimentally measured massesfor the case of the odd-parity sector.For the even-parity sector, the $B$-meson states have not yet been observed; thus,our results provide usefulinformation for experimentalists investigating such states. The near degeneracy of nonstrange and strange scalar $B$ mesonsis confirmed in our predictions using $\mathrm{HHChPT}$. Finally,we show why previous approachesof using$\mathrm{HHChPT}$ in studying the mass degeneracy in the scalar statesof charm and bottom meson sectorsgave unsatisfactory results.Interactions between these heavy mesons are treated using effectivetheories similar to those used to study nuclear forces.We first look at astrongly-interacting channel which produces a bound or virtual state anda dimer state which couples weakly to a weakly-interacting channel to produce a narrow resonance.We also look at theshort-range interactions intwo channels. We consider two cases:two channels where one has a strong $s$-wave interactionwhich produces bound or virtual states,and a dimer state which couples weakly to weakly-coupled channels which in turn can produce narrow resonances.For each of these systems, we use well-defined power-counting schemes.The results can be used to investigateresonances in the charmonium and bottomonium systems. We demonstrate howthe method can be applied to the $X(3872)$. The widths of the $X(3872)$for decay processes to $\bar{D}^0 D^{*0}$ and $\bar{D}^0D^0\pi$are calculated.We use these results to obtain the line shapes of the $X(3872)$ under different assumptions about the nature of this state.
Electron cyclotron emission spectra calculated from ECRF heated electron distributions obtained with a 3D Fokker-Planck code

Cyclotron emission spectra are obtained with a new computer code HORACE which incorporates ray tracing and a relativistic determination of the absorption and emission coefficients from nonthermal electron distributions. The latter are obtained from a 3D bounce-averaged Fokker-Planck code. Ohmic and ECH heated discharges from DIII-D, T-10, and FT-1 are examined to evaluate the extent that ECE measurements represent average plasma energies, and to interpret nonthermal ECE features. 13 refs., 4 figs.
CMAR_A_319466 5423..5431

1Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China; 2Department of Radiology, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China; 3Department of Pathology, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China; 4The Fourth Clinical Medical College, Zhejiang Traditional Chinese Medicine University, Hangzhou, People’s Republic of China; 5Department of Radiology, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People’s Hospital, Quzhou, People’s Republic of China
Whole-Genome Resequencing Reveals Genetic Structure and Introgression in Chinese Pudong White Pigs

Background: Pudong white (PDW) pigs originating from Shanghai, are the only Chinese indigenous pigs with white coat color except Rongchang (RC) pigs. However, there is limited information about its overall genetic structure, relationship with other breeds especially the East Chinese (ECN) and European pig due to the white coat of PDW. Whole-genome sequencing provides the effective approach to get the unique information of genome. The high-depth whole-genome sequencing data of 26 global pig breeds, European Wild boars (EWB), Chinese Wild boars (CWB) and out group (OUT) were implemented to detect the genetic structure, signature of selection and potential exotic introgression in PDW pigs.Results: The PDW pigs belonging to ECN pigs based on genetic relationship, and harbor lower genetic diversity and higher inbreeding coefficient compared to other Chinese indigenous pigs. Both the f3 and D-statistics analysis demonstrated that PDW pigs shared apparent alleles with Large White (LW) pigs. Then, two statistics, haplotype heat-map, copy number variation (CNV) and rIBD analysis further revealed that PDW pigs carry the same KIT genotype and share haplotypes at PARG-MARCHF8 locus with LW pigs, suggesting that the lineage of European (EUR) pigs in PDW originated from LW pigs. After detecting the KIT mutations in different pig breeds, PDW was confirmed to be same with LW at DUP1, DUP2 and the splicing mutation on intron 17 of KIT which determine the white coat color phenotype in European white pigs.Conclusions: This study shows that ECN pigs crossed with LW pigs after introduced to China about 110-164 years ago, where the offspring carrying KIT genotype that caused white coat color phenotype, and then were selected due to the rare white coat color in Chinese indigenous pigs, gradually forming PDW pig breed. To our knowledge, this study gives the first thorough description of the genetic structure of PDW pig via whole-genome resequencing data. This study not only advances our understanding of genetic structure, molecular phylogeny, and molecular origin of PDW pigs, but also provides a basis for facilitating the development of a national project for the conservation and utilization of this unique Chinese local population.
Classifying inpatient perception of hospitalization experience across the US 50 states using the convolutional neural networks

Backgrounds The grade of hospital-service quality is required for the classification which is never applicable in the literature. We aimed to classify the grade of inpatients’ perceptions of patients’ hospitalization experience of states in the US using convolutional neural networks(CNN). Methods We downloaded HCAHPS (Hospital Consumer Assessment of Healthcare Providers and Services) data from the 2007-2014 summaries of survey results. The data collection was carried out to the k-mean and the CNN that were used as unsupervised and supervised learnings for (1) dividing the US sates into two classes (n = 19 and 32 of lower and higher grades) and (2) building a hospital service predictive model to estimate 38 parameters. We calculated the sensitivity, specificity, and receiver operating characteristic curve [area under the curve (AUC)] across studies for comparison. An app predicting the hospital service for a specific US state was developed involving the model’s 38 estimated parameters for a website assessment.Results We observed that (1) the two-year 20-item model yields a higher accuracy rate (0.98) with an AUC (0.99; 95% CI 0.95–1.00) based on the 51 states; and (2) an available app for predicting hospital-service quality was successfully developed and demonstrated in this study. A smartphone app was designed to classify the grade of hospital service for each US state.Conclusions The 20-item model with the 38 parameters estimated by using CNN for improving the accuracy of the grade about the inpatients’ perceptions of patients’ hospitalization experience of states in the US for hospital service. An app developed for helping patients’ self-assess hospital service quality in each US state is required for application in the future.
Influence of alloying elements on the coarsening coefficients of M23C6 and M2B precipitates in a 10% Cr Belgorod steel

A 10% Cr steel designed by ‘Belgorod State University’, has been considered in the present work in order to study the effect of alloying elements on the coarsening characteristics of precipitates. The stepped equilibrium diagram was constructed through the CALPHAD approach, employing the ThermoCalc software. The precipitates observed at the temperature of interest, i.e., 650 °C, were M23C6 (M=Cr, Fe), Laves phase, M2B, NbC and TiN. Amongst all the precipitates, M23C6 has the maximum phase fraction, i.e., 0.022. The magnitude of the coarsening coefficients for all the precipitates other than Laves phase, were observed to be of the order of 10-29 m3/s. In case of Laves phase, it was of the order of 10-31 m3/s. The variation of the coarsening coefficients of M23C6 and M2B, with respect to weight percent of alloying elements has been also investigated. It was observed that, with the increase in the weight percent of Co, Nb and W; the coarsening coefficients of M23C6 and M2B decrease. However, with the increase in weight percent of the V, the coarsening coefficients of M23C6 decrease and M2B increase.
The Star-forming Main Sequence of the Host Galaxies of Low-redshift Quasars

We investigate the star-forming main sequence of the host galaxies of a large, well-defined sample of 453 redshift ∼0.3 quasars with previously available star formation rates by deriving stellar masses from modeling their broadband (grizy) spectral energy distribution. We perform two-dimensional, simultaneous, multi-filter decomposition of Pan-STARRS1 3π Steradian Survey images to disentangle the active galactic nucleus (AGN) from its host galaxy, by explicitly considering, for the first time, the wavelength variation of galaxy structures. We quantify the Sérsic profiles and sizes of the host galaxies from mock AGNs generated from both real and idealized galaxies. Detailed morphological classifications of the calibration galaxy sample using Hubble Space Telescope images enable us to estimate crude morphological types of the quasars. Although the majority (∼60%) of the quasars are hosted by bulge-dominated, early-type galaxies, a substantial fraction (∼40%) reside in disk-dominated, late-type galaxies, suggesting that at least in these systems major mergers have not played a significant role in regulating their AGN activity, in agreement with recent simulations and observations of nearby quasars. The vast majority (∼90%) of the quasars have star formation rates that place them on or above the galaxy star-forming main sequence, with more rapidly accreting AGNs displaced further above the main sequence. Quasar host galaxies generally follow the stellar mass–size relation defined by inactive galaxies, both for late-type and early-type systems, but roughly 1/3 of the population has smaller sizes at a given stellar mass, reminiscent of compact star-forming galaxies at higher redshift.
Third and Fourth Harmonics of Electromagnetic Emissions by a Weak Beam in a Solar Wind Plasma with Random Density Fluctuations

Electromagnetic emissions 3 and 4 at the third and fourth harmonics of the plasma frequency ω p were observed during the occurrence of type II and type III solar radio bursts. Two-dimensional particle-in-cell simulations are performed using a weak beam, high space and time resolutions, and a plasma with density fluctuations of a few percent, for parameters relevant to regions of type III bursts. For the first time, a detailed study of the different wave coalescence processes involved in the generation of 3 and 4 waves is presented and the impact of density fluctuations on the wave interaction mechanisms is demonstrated. Energy ratios between the second, third, and fourth harmonics 2 , 3 , and 4 are consistent with space observations. It is shown that, in both homogeneous and inhomogeneous plasmas, the dominant processes generating 3 ( 4 ) are the coalescence of 2 ( 3 ) with a Langmuir wave, in spite of the random density fluctuations modifying the waves’ resonance conditions by energy transport in the wavevector space and of the damping of Langmuir waves. The role of the backscattered (forward-propagating) Langmuir waves coming from the first (second) cascade of the electrostatic decay of beam-driven Langmuir waves is determinant in these processes. Understanding such wave coalescence mechanisms can provide indirect information on Langmuir and ion acoustic wave turbulence, the average level of density inhomogeneities, and suprathermal electron fluxes generated in solar wind regions where the harmonics manifest. Causes for the rarity of their observations are discussed.