Miracle-dz/UniFAR-FTUs huggingface dataset:
INTERVIEW CONSISTENCY AND PERSONABLENESS 3 What Do Consistency and Personableness in the Interview Signal to Applicants ? Investigating Indirect Effects on Organizational Attractiveness Through Symbolic Organizational

Personnel selection research has recognized the importance of providing applicants with both standardized (i.e., "consistent") and individualized (i.e., "personable") treatment during interviews. However, research has yet to examine the mechanisms underlying the effects of perceived consistency and personableness in the interview on applicants’ attraction to organizations. Drawing from signaling theory, we investigate how interview consistency and personableness impact organizational attractiveness. To this end, we developed a conceptual model that proposes that applicants interpret perceived interview consistency and personableness as signals about what the organization is like in terms of symbolic organizational attributes (organizational competence and benevolence, Lievens & Highhouse, 2003), which in turn influence perceptions of organizational attractiveness. A longitudinal three-wave field study with 129 applicants showed that applicants’ perceptions of both consistency and personableness positively impacted organizational attractiveness. Additionally, these effects were mediated by organizational competence perceptions, but not by organizational benevolence perceptions. Furthermore, consistency and personableness perceptions differed in their relative influence on organizational competence, benevolence, and attractiveness, with personableness perceptions being a more influential predictor. This study contributes to a nuanced theoretical understanding of how applicants interpret interviews as signals about how organizations treat their members.
ELEMENT-BASED TEXTURES 3 TEXEL DETECTOR MaskRCNN trained on ElBa training set Texture Image INDIVIDUAL DESCRIPTION Texel position and categories , Size , Appearance Texels TEXEL GROUPING Grouping by Texel Category Individual Descriptors LAYOUT DESCRIPTION Homogeneity

Element-based textures are a kind of texture formed by nameable elements, the texels [1], distributed according to specific statistical distributions; it is of primary importance in many sectors, namely textile, fashion and interior design industry. State-of-theart texture descriptors fail to properly characterize element-based texture, so we present Texel-Att to fill this gap. Texel-Att is the first fine-grained, attribute-based representation and classification framework for element-based textures. It first individuates texels, characterizing them with individual attributes; subsequently, texels are grouped and characterized through layout attributes, which give the Texel-Att representation. Texels are detected by a Mask-RCNN, trained on a brand-new element-based texture dataset, ElBa, containing 30K texture images with 3M fully-annotated texels. Examples of individual and layout attributes are exhibited to give a glimpse on the level of achievable graininess. In the experiments, we present detection results to show that texels can be precisely individuated, even on textures “in the wild”; to this sake, we individuate the element-based classes of the Describable Texture Dataset (DTD), where almost 900K texels have been manually annotated, leading to the Element-based DTD (E-DTD). Subsequently, classification and ranking results demonstrate the expressivity of Texel-Att on ElBa and E-DTD, overcoming the alternative features and relative attributes, doubling the best performance in some cases; finally, we report interactive search results on ElBa and E-DTD: with Texel-Att on the E-DTD dataset we are able to individuate within 10 iterations the desired texture in the 90% of cases, against the 71% obtained with a combination of the finest existing attributes so far. Dataset and code is available at https://github.com/godimarcovr/Texel-Att
With a Novel

1. Kiemeneij F, Laarman GJ, Odekerken D, Slagboom T, Van der Wieken R. A randomized comparison of percutaneous transluminal coronary angioplasty by the radial, brachial and femoral approaches: the ACCESS study. J Am Coll Cardiol. 1997;29:1269–75. 2. Alberto Ruano-Ravina, Guillermo Aldama-López, Belén Cid-Álvarez, Pablo PiñónEsteban, Diego López-Otero, Ramón Calviño-Santos. et al. Acceso radial frente a femoral después de una intervención coronaria percutánea en infarto agudo de miocardio con elevación del segmento ST. Resultados de mortalidad a 30 dı́as y a 1 año. Rev Esp Cardiol. 2013;66:871–8. 3. Kedev S, Zafirovska B, Dharma S, Petkoska D. Safety and feasibility of transulnar catheterization when ipsilateral radial access is not available. Catheter Cardiovasc Interv. 2014;83:51–60. 4. Kwan TW, Ratcliffe JA, Chaudhry M, Huang Y, Wong S, Zhou X, et al. Transulnar catheterization in patients with ipsilateral radial artery occlusion. Catheter Cardiovasc Interv. 2013;82:849–55.
Why Do Larger Lenders obtain Higher Returns in Syndicated Lending ? Evidence from Sovereign Loans

Institutions that fund larger shares of a syndicated loan typically receive larger percentage compensations in the form of up-front fees. This paper uses a sample of sovereign syndicated loan contracts in the period 1990-1997 to explore why this is the case. We test the hypotheses whether higher up-front fees for larger funding commitments are aimed at reducing the number of lenders (so as to mitigate potential ex post coordination problems), or whether they aim at compensating larger lenders for certain services. We find that the choice of the up-front fees does not affect the number of banks that join the syndicate. The up-front fee is positively related to the probability of future renegotiation and to a proxy for the information asymmetry between the borrower and the syndicate members. There is no significant relationship between the up-front fee and the probability of insolvency. These results are consistent with the hypothesis that large lenders obtain a higher up-front fee as a compensation for anticipated services traditionally associated with relationship lenders in times of liquidity shortages, namely coordinating renegotiation and refinancing. JEL classification: G21; G33; F34
1 Expression in Wilms ’ Tumor and Embryonic Kidney 1

Wilms’ tumors, or nephroblastomas, are thought to arise from abnormal postnatal retention and dysregulated differentiation of nephrogenic progenitor cells that originate as a condensed metanephric mesenchyme within embryonic kidneys. We have previously shown that the transcriptional regulator CITED1 (CBP/ p300– interacting transactivators with glutamic acid [E ]/aspartic acid [D]–rich C-terminal domain) is expressed exclusively in these nephrogenic progenitor cells and is downregulated as they differentiate to form nephronic epithelia. In the current study, we show that CITED1 expression persists in blastemal cell populations of both experimental rat nephroblastomas and human Wilms’ tumors, and that primary human Wilms’ tumors presenting with disseminated disease show the highest level of CITED1 expression. Unlike the predominantly cytoplasmic subcellular localization of CITED1 in the normal developing kidney, CITED1 is clearly detectable in the nuclear compartment of Wilms’ tumor blastema. These findings indicate that CITED1 is a marker of primitive blastema in Wilms’ tumors and suggest that persistent expression and/or altered subcellular localization of CITED1 in the condensed metanephric mesenchyme could play a role in Wilms’ tumor initiation and pathogenesis. Neoplasia (2007) 9, 589–600
The Five Tribes of Machine-Learning: A Brief Overview

This paper reviews recent advances in automated computer-based learning capabilities. It briefly describes and examines the strengths and weaknesses of the five principal algorithmic approaches to machine-learning, namely: connectionism; evolutionism; Bayesianism; analogism; and, symbolism. While each of these approaches can demonstrate some degree of learning, a learning capability that is comparable with human learning is still in its infancy and will likely require the combination of multiple algorithmic approaches. However, the current state reached in machine-learning suggests that Artificial General Intelligence and even Artificial Superintelligence may indeed be eventually feasible.
The performance of social responsible investing from retail investors' perspective: international evidence

This paper investigates the performance of portfolios constructed by socially responsible (SR) retail investors compared to conventional investments. We provide evidence of SRI financial performance at the worldwide level as well as at the regional level, for 5 regions (Americas, Europe except UK, United Kingdom, Pacific and Emerging markets). Furthermore, we analyse the impact of different market states on the financial performance. Over the period 2005 to 2014, our results show that SRI portfolios statistically outperform the conventional investments. During bear market periods the financial performance is neutral for both portfolios, whereas during bull market periods SRI portfolios statistically outperform the conventional investment. We document that this outperformance is related to a positive and statistically significant exposure to the size and value risk factors. At the regional level, the results show statistical differences in the financial performances among regional portfolios. These results point out country-specific factors may affect the relationship between corporate social and financial performance.
APPLYING TECHNOLOGY ACCEPTANCE MODEL TO E-RECRUITMENT CONTEXT

:هلاقم هصلاخ Nowadays, online recruiting has become a major recruitment tool for many organizations.However, little is known about jobseekers' reactions to this new technology. This article uses Technology Acceptance Model as the core research framework to identify factors influencingapplicants' intentions in using organizations' recruitment websites. Data gathered from ۳۳۲job applicants at System Group Corp. show perceived usefulness and perceived ease of use –as core constructs of TAM model – are two main factors that predict jobseekers' behavioralintentions to use recruitment websites. The paper provides an insight for HR practitioners onthe effective use of e-recruitment website and the strategy to attract potential job seekers foremployment.
NON-NATIVE VOWEL PERCEPTION IN A 4IAX TASK: THE EFFECTS OF ACOUSTIC DISTANCE

The effects of acoustic versus phonetic similarity in non-native vowel perception have been the focus of many second language (L2) speech perception models, examining how non-native sounds are perceived and assimilated by listeners. These models use perceptual discrimination tasks (e.g., AX, AXB) that may elicit different modes of perception depending on the memory load and linguistic experience required in each. This paper examined how native Australian-English (AusE) speakers perceived naturally-produced Dutch vowels in a 4IAX task, less commonly used but believed to elicit more continuous perception and bypass conscious linguistic processing. Participants listened to six Dutch vowel pairs spoken by varying speakers and chosen for their acoustic distance from AusE vowels. Results showed that /ɪ-i/ was the least accurately discriminated compared to other vowel pairs, confirming predictions that L1-L2 acoustic distance is a driving force in non-native speech perception and suggesting that linguistic experience may affect perception during the 4IAX task.
EFFECTS OF MAGNETIC FIELD ON THE HRG

The study of the effect of magnetic field on the phase transiti on has become a subject of intense research for last few years. The phase transition in Quantum Chromodynamic (QCD) system is usually expected to occur around the QCD energy scalesΛ ∼ 200 MeV. So one should be interested in the magnetic fields with st reng h B∼ (200 MeV) ∼ 2 × 10 G. Though the effect of magnetic field in neutron stars has bee n a topic of interest, both theoretically as well as observationally , for a long time, the strength of magnetic field can be as large as 10 G only on the surface of magnetars. On the other hand, non-central relativistic HIC may create extrem ely strong magnetic field ( ∼ mπ ∼ 10G) due to the relativistic motion of the charged particles. Th e estimated magnetic field ( B) may reach up to order of 0. 1mπ, m 2 π and15m 2 π for SPS, RHIC and LHC energies respectively [1]. Such high magnetic fields may exist only in the interior of the neutron stars and might have been present in the early u niverse. In fact, several previous works have shown that the large magnetic fields will affect the EOS of compact
Financial Leverage and Performance of Non-Financial Companies in Nairobi Securities Exchange in Kenya

This study evaluated the relationship between financial leverage and performance of non financial companies of the Nairobi Securities Exchange (NSE), Kenya. The study specifically determined the relationship of leverage measures of long term debt-toequity ratio; short term debt-to-equity ratio; total debt-to-equity ratio; short –term debt to equity ratio; short-term debt to current assets and financial performance measures of return on assets ((ROA) calculated from financial statements. The study was a census of all 61 firms listed on the NSE. A sample size of 42 firms were selected by purposive sampling after omitting firms in the financial services sector due to their capital structures being regulated by the central bank. The study was anchored on conceptual framework. It relied on secondary data for 6-year study period (2007-2012) and validated by piloting the study. Regression analysis model was used to investigate the relationship of financial leverage on dependent variables. Result shows that ROA is significant with long-term debt at 95% confidence interval.
ETHNIC PENALTIES IN WESTERN LABOUR MARKETS Contributions, Explanations, Critiques

* E-mail: ahm@socialresearch.no Abstract This article reviews the comparative literature on ethnic penalties in Western labour markets. Although there is considerable variation between ethnic groups, immigrants and descendants, and across national contexts in terms of the magnitude of ethnic penalties, ethnic minorities of non-European origin experience disadvantages in all contexts. Discussing the striking cross-national variation, I highlight the impact of the economy, legacies of immigration policies, historically different citizenship regimes and the occurrence of selectivity in educational systems. In explaining why ethnic disadvantage occurs in all contexts, I pay particular attention to the role of discrimination in employment.
Welfare Consequences of Nominal Excise Taxation (cid:63)

A large body of research indicates that alcohol consumption accounts for a signiﬁcant share of worldwide premature death and disease, especially in low- and middle-income countries. Governments routinely utilize unit taxes to regulate alcoholic beverages but such taxes are rarely indexed to inﬂation. We use detailed data to estimate a model of alcohol demand and supply that ties consumers’ demographic characteristics to heterogeneous preferences for spirits while placing no restrictions on the strategic price response of ﬁrms to changes in taxation. We ﬁnd that federal and state nominal taxes kept retail prices low, beneﬁted ﬁrms, and increased alcohol consumption signiﬁcantly. Using recent epidemiology research, we show that increased consumption due to nominal taxation increased the prevalence of alcohol-attributable diseases such as cancer, cirrhosis, and heart disease, especially among low income, minority, and rural residents – consumers which proponents of alcohol regulation often intend to target. Our results highlight the aggregate and distributional consequences of nominal taxation even in countries with modest rates of inﬂation.
Supplemental material : Fluctuation-driven Coulomb drag in interacting quantum dot systems

Coulomb drag between nanoscale conductors is of both fundamental and practical interest. Here, we theoretically study drag in a double quantum-dot (QD) system consisting of a biased drive QD and an unbiased drag QD coupled via a direct interdot Coulomb interaction. We demonstrate that the Coulomb drag is driven by charge fluctuations in the drive QD, and show how the properties of the associated quantum noise allow to distinguish it from, e.g., shot-noise driven drag in circuits of weakly interacting quantum conductors. In the strong-interaction regime exhibiting an orbital (”pseudospin”) Kondo effect, the drag is governed by charge fluctuations induced by pseudospin-flip cotunneling processes. The quenching of pseudospin-flip processes by Kondo correlations are found to suppress the drag at low bias and introduce a zero-bias anomaly in the second-order differential transconductance. Finally, we show that the drag is maximized for values of the interdot interaction matching the lead couplings. Our findings are relevant for the understanding of drag in QD systems and provide experimentally testable predictions in different transport regimes.
Cosmography Test of Cosmological Theories using Markov Chain Monte Carlo Methods

In this project, we will review the cosmography test and use the observational data to obtain the best-fit cosmography parameters with Markov Chain Monte Carlo Methods. The observational data include the latest data from the Type 1A Supernovae, Baryonic Acoustic Oscillation and Observational Hubble surveys available at the time. The updated cosmographic parameters is used to constrain some dark energy models as well as some modified gravity models, including f(T ) gravity models previously proposed by other earlier papers. For dark energy, we also relate the results from cosmography to dynamical dark energy models by the ChevalierPolarski-Linder parametrization. By writing an entirely new code on our own for the MCMC algorithm using Fortran 95, we found that the constrained cosmographic parameters were more tightened (uncertainties were smaller) than earlier results [1][2]. From the constraints, we were firstly able to reproduce the results of the prevalent and generally accepted ΛCDM universe (also known as the cosmological constant) as a consistency check. Following that, all the models tested seem to be indistinguishable from the ΛCDM model within the uncertainty of our constraints. For the CPL parametrization however, we observe a dynamical dark energy model has a closer fit to the full evolutionary plot of our constrained best fit cosmographical parameters. For f(T ) gravity models, all f(T ) functions tested indicate a tendency towards the ΛCDM model, although a hyperbolic tangent term function has the closest fit to our Taylor series expansion form and as a result is the most likely perturbation from the standard ΛCDM cosmology. These results form a final conclusion that after years of finding only two numbers, namely (H0, q0), to describe our universe, we realize now that we require up to fifth order expansion, hence five quantities, to constrain not only the evolution of the universe, but also the underlying theory of gravity.
CYBERLOAFING PHENOMENON IN ORGANIZATIONS: DETERMINANTS AND IMPACTS

Cyberloafing which means voluntary acts of employees using their companies’ Internet access and IT equipments for non-work-related purposes during working time, emerges as an increasingly important issue which needs to be managed in organizations. Although there are some growing body of literature which tries to provide understanding regarding this subject and discuss negative impacts of cyberloafing phenomenon in organizations; this is a quite a new subject for Turkish literature. Nevertheless, considering the impacts of cyberslacking on organizations, it is clear that there is a need for new studies which would be quite useful in terms of organizations. This study examines first the cyberloafing phenomenon and then tries to explain the determinants of cyberloafing in organizations and analyzes its positive and negative impacts for organizations as well as the controlling measures
Measurement of CP violation in the B 0 s → φφ decay and search for the B 0 → φφ decay LHCb collaboration †

A measurement of the time-dependent CP -violating asymmetry in B0 s → φφ decays is presented. Using a sample of proton-proton collision data corresponding to an integrated luminosity of 5.0 fb−1 collected by the LHCb experiment at centre-of-mass energies √ s = 7 TeV in 2011, 8 TeV in 2012 and 13 TeV in 2015 and 2016, a signal yield of around 9000 B0 s → φφ decays is obtained. The CP -violating phase φss̄s s is measured to be −0.073 ± 0.115 (stat) ± 0.027 (syst) rad, under the assumption it is independent on the helicity of the φφ decay. In addition, the CP -violating phases of the transverse polarisations under the assumption of CP conservation of the longitudinal phase are measured. The helicity-independent direct CP -violation parameter is also measured, and is found to be |λ| = 0.99± 0.05 (stat)± 0.01 (syst). In addition, T -odd triple-product asymmetries are measured. The results obtained are consistent with the hypothesis of CP conservation in b → sss transitions. Finally, a limit on the branching fraction of the B0 → φφ decay is determined to be B(B0 → φφ) < 2.7× 10−8 at 90 % confidence level. Submitted to JHEP c © 2019 CERN for the benefit of the LHCb collaboration. CC-BY-4.0 licence. †Authors are listed at the end of this paper. CERN-EP-2019-121 31 May 2019
Ngram in Detecting Linguistic Shifts over Time

The availability of large historical corpora, such as Google Books Ngram, makes it possible to extract various meta information about the evolution of human languages. Together with advances in machine learning techniques, researchers recently use the huge corpora to track cultural and linguistic shifts in words and terms over time. In this paper, we develop a new approach to quantitatively recognize semantic changes of words during the period between 1800 and 1990. We use the state-of-the-art FastText approach to construct word embedding for Google Books Ngram corpus for the decades within the time period 1800-1990. We use a time series analysis to identify words that have a statistically significant change in the period between 1900 and 1990. We conduct a performance evaluation study to compare our approach against related work, we show that our system is more robust against morphological language variations.
A NOVEL ALGORITHM FOR VOLUME-PRESERVING PARAMETERIZATIONS OF THREE-MANIFOLDS

Manifold parameterizations have been applied to various fields of commercial industries. Several efficient algorithms for the computation of surface parameterizations have been proposed in the recent decade. However, the computation of volumetric mesh parameterizations is more challenging due to the fact that the number of mesh points would become enormously large when the higher resolution mesh is considered. In this paper, we develop a novel energy minimization algorithm for volume-preserving parameterizations of simply connected three-manifolds with a single boundary. In addition, our algorithm can also be applied to compute spherical angleand area-preserving parameterizations of genus zero closed surfaces, respectively. Several numerical experiments indicate that the proposed algorithms are more efficient and reliable than other existing algorithms. Applications of manifold partitions and mesh processing for 3D printing are demonstrated thereafter to show the robustness of the proposed algorithms.