Miracle-dz/UniFAR-FTUs huggingface dataset:
CEO attributes and firm performance: Evidence from companies listed on Ho Chi Minh Stock Exchange

Abstract This study conducted on HOSE-listed companies for the period 2016–2020 examines the influence of chief executive officer (CEO) attributes on company performance. The System GMM methodology is applied to estimate and test dynamic panel data models. We investigate a fairly large number of CEO attributes including four socio-demographic and five corporate governance-related ones. For the socio-demographic attributes, the results indicate that female gender, below postgraduate education, domestic nationality and older age are the CEO traits that contribute to improve firm performance. With regard to the corporate governance-related attributes, this study provides statistical evidence that shorter CEO tenure, CEO-chairman duality, founder CEO, insider CEO and lower CEO ownership are the characteristics that enhance firm performance. The findings may offer valuable insights to shareholders when they expect to recruit the most qualified CEO to serve their benefits and increase their company performance.
Application of Distributed Temperature Sensing for coupled mapping of sedimentation processes and spatio‐temporal variability of groundwater discharge in soft‐bedded streams

The delineation of groundwater discharge areas based on Distributed Temperature Sensing (DTS) data of the streambed can be difficult in soft‐bedded streams where sedimentation and scouring processes constantly change the position of the fibre optic cable relative to the streambed. Deposition‐induced temperature anomalies resemble the signal of groundwater discharge while scouring will cause the cable to float in the water column and measure stream water temperatures. DTS applied in a looped layout with nine fibre optic cable rows in a 70 × 5 m section of a soft‐bedded stream made it possible to detect variability in streambed temperatures between October 2011 and January 2012. Detailed monthly streambed elevation surveys were carried out to monitor the position of the fibre optic cable relative to the streambed and to quantify the effect of sedimentation processes on streambed temperatures. Based on the simultaneous interpretation of streambed temperature and elevation data, a method is proposed to delineate potential high‐groundwater discharge areas and identify deposition‐induced temperature anomalies in soft‐bedded streams. Potential high‐discharge sites were detected using as metrics the daily minimum, maximum and mean streambed temperatures as well as the daily amplitude and standard deviation of temperatures. The identified potential high‐discharge areas were mostly located near the channel banks, also showing temporal variability because of the scouring and redistribution of streambed sediments, leading to the relocation of pool‐riffle sequences. This study also shows that sediment deposits of 0.1 m thickness already resulted in an increase in daily minimum streambed temperatures and decrease in daily amplitude and standard deviation. Scouring sites showed lower daily minimum streambed temperatures and higher daily amplitude and standard deviation compared with areas without sedimentation and scouring. As a limitation of the approach, groundwater discharge occurring at depositional and scouring areas cannot be identified by the metrics applied. Copyright © 2015 John Wiley & Sons, Ltd.
Climatologic adjustments to monthly precipitation in Romania

This article contributes to better understanding of the precipitation data, analyzing several measurement errors in Romania. Based on the influence of wind speed, solid precipitation rate, and wetting losses, we adjusted the monthly amounts registered at 159 weather stations through 1961–2006. The results emphasize distinct temporal and spatial distributions of the adjustment magnitude. In general, the correction factors increase with altitude and they have high values in the cold season, as they highly depend on wind speed and solid precipitation percentage. In Romania, bias corrections increase monthly precipitation by less than 10% from June to September, by 10–20% in the transition months, and by higher values during the winter. Copyright © 2010 Royal Meteorological Society
Evaluation of some heart enzymes and Iron levels in β-thalassemia patients in Thi-Qar City, Iraq

Beta thalassemia is one of the most common hereditary diseases in the world caused by a deficiency of globin chains. Heart disease is one of the main complications of this disease as a result of excess iron deposition in the cardiac tissues. Total of 100 patients of 2-18 years diagnosed with ß-TM were employed in the current study and admitted to Thi-Qar Center of Hereditary Blood Diseases in Thi-Qar city, Iraq, and 80 healthy participants, matched by age, and geographical area were adopted as control group. The current study included evaluating of serum Troponin I (c.TnI), Creatine kinase-MB isoenzyme (CK-MB), Apelin, aspartate aminotransferase (AST), and Lactate Dehydrogenase enzyme (LDH) of studied groups. The finding revealed a significant increase (p<0.01) of c.TnI, CK-MB, AST, and LDH levels as well as a significant decrease (p<0.01) in apelin level in all patients with ß-TM compared to the control group. Pearson's correlation coefficient (r) was also found between the biochemical parameters studied for ß-TM patients with ferritin level, were found a significant correlation (p<0.01) between ferritin level with CK-MB, LDH, and AST levels while there was no significant correlation (P>0.01) through apelin and c.TnI levels. The finding showed a clinical predictor to damage cardiac tissues in the near term, which portends the use of more efficient treatment protocols to remove excess iron from ß-TM patients.
A Proposed Framework for the Relationship between Emotional Intelligence and Employee’s Performance: Mediating Role of Job Demand

In the realm of employee performance, emotional intelligence (EI) plays a pivotal role. Research has consistently shown that EI is positively correlated with employee performance. It acts as a critical predictor, influencing how well employees perform in their roles. Emotional intelligence encompasses one's ability to perceive, express, understand, and manage emotions. When employees possess high EI, they are better equipped to navigate the challenges and dynamics of the workplace. As there are scarcity of research that explains the mechanism describing the EI-Employee’s Performance relationship, this study proposed the potential role of job demands as an important mediator in this relationship. Job demands include factors like workload, stress, and time pressures. Employees with high EI tend to handle these demands more effectively, leading to reduced stress and burnout consequently increasing job performance. In summary, emotional intelligence serves as a reliable predictor of employee performance and is crucial for maintaining a motivated and high-performing workforce, ultimately benefiting the organization as a whole.
DESCRIPTION OF A NEW SPECIES OF HETEROSCORPION BIRULA (SCORPIONES, HETEROSCORPIONIDAE) FROM THE EASTERN LOWLAND HUMID FOREST OF SOUTH-EASTERN MADAGASCAR

Recientes trabajos de campo realizados en diferentes regiones de Madagascar han permitido obtener una coleccion de numerosos escorpiones, incluyendo un especimen perteneciente al genero endemico Heteroscorpion Birula que se colecto enel bosque humedo de las tierras bajas de Midongy-Sud en la zona suroriental de la isla. Este animal, descrito en este trabajo, representa una nueva especie para la ciencia y probablemente es un endemismo de la region donde fue recolectado. El numero de especies del genero Heteroscorpion es ahora de cuatro y su area de distribucion cubre una gran parte del bosque humedo oriental de Madagascar.
Analysis of the sea levels in Kiribati A Rising Sea of Misrepresentation Sinks Kiribati

Abstract The sea levels of Kiribati have been stable over the last few decades, as elsewhere in the world. The Australian government funded Pacific Sea Level Monitoring (PSLM) project has adjusted sea level records to produce an unrealistic rising trend. Some information has been hidden or neglected, especially from sources of different management. The measured monthly average mean sea levels suffer from subsidence or manipulation resulting in a tilting from the about 0 (zero) mm/year of nearby tide gauges to 4 (four) mm/year over the same short time window. Real environmental problems are driven by the increasing local population leading to troubles including scarcity of water, localized sinking and localised erosion.
Where Does the Irrigation Water Go? An Estimate of the Contribution of Irrigation to Precipitation Using MERRA

Irrigation is an important human activity that may impact local and regional climate, but current climate model simulations and data assimilation systems generally do not explicitly include it. The European Centre for Medium-Range Weather Forecasts (ECMWF) Interim Re-Analysis (ERA-Interim) shows more irrigation signal in surface evapotranspiration (ET) than the Modern-Era Retrospective Analysis for Research and Applications (MERRA) because ERA-Interim adjusts soil moisture according to the observed surface temperature and humidity while MERRA has no explicit consideration of irrigation at the surface. But, when compared with the results from a hydrological model with detailed considerations of agriculture, the ET from both reanalyses show large deficiencies in capturing the impact of irrigation. Here, a back-trajectory method is used to estimate the contribution of irrigation to precipitation over local and surrounding regions, using MERRA with observation-based corrections and added irrigation-caused ET increase from the hydrological model. Results show substantial contributions of irrigation to precipitation over heavily irrigated regions in Asia, but the precipitation increase is much less than the ET increase over most areas, indicating that irrigation could lead to water deficits over these regions. For the same increase in ET, precipitation increases are larger over wetter areas where convection is more easily triggered, but the percentage increase in precipitation is similar for different areas. There are substantial regional differences in the patterns of irrigation impact, but, for all the studied regions, the highest percentage contribution to precipitation is over local land.
Historical discharge measurements on the Middle Mississippi River, USA: no basis for ‘changing history’

This study tests the hypothesis that historical float‐based discharge measurements on the Mississippi River systematically over‐stated actual flood flows by 10% to > 30% relative to measurements using current meters. This assertion has been repeated over the past 25 years and recently has been used to adjust historical discharges used for flood‐frequency analysis. This study tests the hypothesis above using 2150 historical discharge measurements digitized from the three principal gauging stations on the Middle Mississippi River (MMR): data that include 626 float‐based discharges and 1516 meter‐based discharges, including 122 paired measurements. Multiple comparative tests show that the hypothesis above cannot be supported; if anything, the float‐based measurements slightly underestimate flows (not over‐estimate) over a broad range of discharges up to large floods. In response to the purported data bias above (‘changing history’; Dieckmann RJ, Dyhouse GR. 1998. Changing history at St. Louis—adjusting historic flows for frequency analysis. First Federal Inter‐Agency Hydrologic Modeling Conference, April 20–22, 1998. Las Vegas, NV; 4·31–4·36), historical flood discharges on the MMR have been modified, most by 10–20% and several by > 30%. These altered discharges are now being promulgated, in particular, through the Upper Mississippi River System Flow Frequency Study (UMRSFFS). New flow frequencies, flood profiles, and new flood maps from the UMRSFFS may significantly underestimate the actual flood hazard on the MMR if the original hydrologic data have been erroneously altered on the basis of an assumption of data bias. Copyright © 2010 John Wiley & Sons, Ltd.
Safety and immunogenicity of booster vaccination and fractional dosing with Ad26.COV2.S or BNT162b2 in Ad26.COV2.S-vaccinated participants

Background. We report the safety and immunogenicity of fractional and full dose Ad26.COV2. S and BNT162b2 in an open label phase 2 trial of participants previously vaccinated with a single dose of Ad26.COV2. S, with 91.4% showing evidence of previous SARS-CoV-2 infection. Methods. A total of 286 adults (with or without HIV) were enrolled >4 months after an Ad26.COV2. S prime and randomized 1:1:1:1 to receive either a full or half-dose booster of Ad26.COV2. S or BNT162b2 vaccine. B cell responses (binding, neutralization and antibody dependent cellular cytotoxicity-ADCC), and spike-specific T-cell responses were evaluated at baseline, 2, 12 and 24 weeks post-boost. Antibody and T-cell immunity targeting the Ad26 vector was also evaluated. Results. No vaccine-associated serious adverse events were recorded. The full- and half-dose BNT162b2 boosted anti-SARS-CoV-2 binding antibody levels (3.9- and 4.5-fold, respectively) and neutralizing antibody levels (4.4- and 10-fold). Binding and neutralizing antibodies following half-dose Ad26.COV2. S were not significantly boosted. Full-dose Ad26.COV2. S did not boost binding antibodies but slightly enhanced neutralizing antibodies (2.1-fold). ADCC was marginally increased only after a full-dose BNT162b2. T-cell responses followed a similar pattern to neutralizing antibodies. Six months post-boost, antibody and T-cell responses had waned to baseline levels. While we detected strong anti-vector immunity, there was no correlation between anti-vector immunity in Ad26.COV2. S recipients and spike-specific neutralizing antibody or T-cell responses post-Ad26.COV2. S boosting. Conclusion. In the context of hybrid immunity, boosting with heterologous full- or half-dose BNT162b2 mRNA vaccine demonstrated superior immunogenicity 2 weeks post-vaccination compared to homologous Ad26.COV2. S, though rapid waning occurred by 12 weeks post-boost. Trial Registration: South African National Clinical Trial Registry (SANCR): DOH-27-012022-7841; Funding: South African Medical Research Council (SAMRC) and South African Department of Health (SA DoH).
Characterizing the duration and association patterns of wireless access in a campus

Our goal is to characterize the access pat- terns in a IEEE802.11 infrastructure. This can be bene- ficial in many domains, including coverage planning, re- source reservation, supporting location-dependent applica- tions and applications with real-time constraints, and pro- ducing models for simulations. We conducted an exten- sive measurement study of wireless users and their asso- ciation patterns on a major university campus using the IEEE802.11 wireless infrastructure. We characterized and analyzed the wireless access pattern based on several pa- rameters such as mobility, session and visit durations. We show that the mobility and building type affect the session and visit durations. As the mobility increases, the visit du- ration tends to decrease stochastically. The opposite hap- pens in the case of the session duration. Moreover, there exist different stochastic orders among visit durations of different building types when conditioning on session mo- bility. A family of BiPareto distributions can model the visit and session duration.
Quantum geometry quadrupole-induced third-order nonlinear transport in antiferromagnetic topological insulator MnBi2Te4

The study of quantum geometry effects in materials has been one of the most important research directions in recent decades. The quantum geometry of a material is characterized by the quantum geometry tensor of the Bloch states. The imaginary part of the quantum geometry tensor gives rise to the Berry curvature while the real part gives rise to the quantum metric. While Berry curvature has been well studied in the past decades, the experimental investigation on the quantum metric effects is only at its infancy stage. In this work, we measure the nonlinear transport of bulk MnBi${_2}$Te${_4}$, which is a topological anti-ferromagnet. We found that the second order nonlinear responses are negligible as required by inversion symmetry, the third-order nonlinear responses are finite. The measured third-harmonic longitudinal ($V_{xx}^{3{\omega}}$) and transverse ($V_{xy}^{3{\omega}}$) voltages with frequency 3w, driven by an a.c. current with frequency w, show an intimate connection with magnetic transitions of MnBi${_2}$Te${_4}$ flakes. Their magnitudes change abruptly as MnBi${_2}$Te${_4}$ flakes go through magnetic transitions from an AFM state to a canted AFM state and to a FM state. In addition, the measured $V_{xx}^{3{\omega}}$ is an even function of the applied magnetic field B while $V_{xy}^{3{\omega}}$ is odd in B. Amazingly, the field dependence of the third-order responses as a function of the magnetic field suggests that $V_{xx}^{3{\omega}}$ is induced by quantum metric quadrupole and $V_{xy}^{3{\omega}}$ is induced by Berry curvature quadrupole. Therefore, the quadrupoles of both the real and the imaginary part of the quantum geometry tensor of bulk MnBi${_2}$Te${_4}$ are revealed through the third order nonlinear transport measurements. This work greatly advanced our understanding on the connections between the higher order moments of quantum geometry and nonlinear transport.
Progressive Ensemble Distillation: Building Ensembles for Efficient Inference

We study the problem of progressive ensemble distillation: Given a large, pretrained teacher model $g$, we seek to decompose the model into smaller, low-inference cost student models $f_i$, such that progressively evaluating additional models in this ensemble leads to improved predictions. The resulting ensemble allows for flexibly tuning accuracy vs. inference cost at runtime, which is useful for a number of applications in on-device inference. The method we propose, B-DISTIL , relies on an algorithmic procedure that uses function composition over intermediate activations to construct expressive ensembles with similar performance as $g$ , but with smaller student models. We demonstrate the effectiveness of B-DISTIL by decomposing pretrained models across standard image, speech, and sensor datasets. We also provide theoretical guarantees in terms of convergence and generalization.
Finite-Time Logarithmic Bayes Regret Upper Bounds

We derive the first finite-time logarithmic Bayes regret upper bounds for Bayesian bandits. In a multi-armed bandit, we obtain $O(c_\Delta \log n)$ and $O(c_h \log^2 n)$ upper bounds for an upper confidence bound algorithm, where $c_h$ and $c_\Delta$ are constants depending on the prior distribution and the gaps of bandit instances sampled from it, respectively. The latter bound asymptotically matches the lower bound of Lai (1987). Our proofs are a major technical departure from prior works, while being simple and general. To show the generality of our techniques, we apply them to linear bandits. Our results provide insights on the value of prior in the Bayesian setting, both in the objective and as a side information given to the learner. They significantly improve upon existing $\tilde{O}(\sqrt{n})$ bounds, which have become standard in the literature despite the logarithmic lower bound of Lai (1987).
Spatial Distribution of Laying Hens in Different Environmental Conditions by Image Processing and Correspondence Analysis

This study used an image processing methodology for behavior verification of confined hens in thermal comfort and stress conditions in order to get information about spatial distribution over time. Two groups of five birds were analyzed during two days, in three periods, in a controlled climatic chamber. Images were collected for 10 seconds each for each period and processed to locate the geometric centers of the hens and their position inside of the rearing system. Animal tracking by video recording or image sequences can be adapted to behavior information related to space measurements, mapping of animal frequency in a determined region or the same covered distance, inactivity periods, and behavior that occurs over hours or days, a time scale that comprises the human observer efficiency. A CCD camera was placed above the climate chamber. The captured images had been stored by the program “VIDEOCAP 5.1”, in BMP format and converted into JPEG with dimensions 240 x 320 and processed with MATLAB 7.0®. The procedure consists of converting RGB images for L*a*b space of colors or CIELAB. The L*a*b* space consists of a luminosity layer 'L*', chromaticity-layer 'a*' indicating where color falls along the red-green axis, and chromaticity-layer 'b*' indicating where the color falls along the blue-yellow axis. This system is able to quantify the visual differences between colors and to separate them from each other in secondary images. The pre-processed images sequences were used as information to mass center calculation in the sequence throughout the treatments. The regions were delimited: nest, free area, feeder trough, water trough and “feeder + water” trough. The results show that the regular observation of the spatial distribution of confined animals is an important indicator of their comfort or discomfort, as a preference test, and it can be an efficient tool to study hens’ behavior.
Prompt-Driven Target Speech Diarization

We introduce a novel task named `target speech diarization', which seeks to determine `when target event occurred' within an audio signal. We devise a neural architecture called Prompt-driven Target Speech Diarization (PTSD), that works with diverse prompts that specify the target speech events of interest. We train and evaluate PTSD using sim2spk, sim3spk and sim4spk datasets, which are derived from the Librispeech. We show that the proposed framework accurately localizes target speech events. Furthermore, our framework exhibits versatility through its impressive performance in three diarization-related tasks: target speaker voice activity detection, overlapped speech detection and gender diarization. In particular, PTSD achieves comparable performance to specialized models across these tasks on both real and simulated data. This work serves as a reference benchmark and provides valuable insights into prompt-driven target speech processing.
STRONG PROBABILISTIC STABILITY IN HOLOMORPHIC FAMILIES OF ENDOMORPHISMS OF Pk AND POLYNOMIAL-LIKE MAPS

We prove that, in stable families (in the sense of Berteloot-Bianchi-Dupont) of endomorphisms of P, all invariant measures with strictly positive Lyapunov exponents at a given parameter can be followed holomorphically with the parameter. As a consequence, almost all points (with respect to any such measure at any parameter) in the Julia set can be followed holomorphically without intersections. An analogous result holds for families of polynomiallike maps whose topological degree dominates the other dynamical degrees. This generalizes previous results for the measure of maximal entropy. We also prove a sufficient condition for the positivity of the Lyapunov exponents of a measure in term of the metric entropy, generalizing an analogous result by de Thélin and Dupont for the endomorphisms of P to the setting of polynomial-like map. Our work provides a parallel in this setting to the probabilistic stability of Hénon maps by Berger-Dujardin-Lyubich. Notation. We denote by Pk the complex projective space of dimension k. A (p, p)-current is a current of bidegree (p, p). If W ⊂ Ck is an open set, we denote by Vol(W ) the volume of W , i.e., Vol(W ) := ∫ W ω k, where ω is the standard Kähler form of Ck. If S is a positive closed current on W , we denote by ‖S‖W := ∫ W S ∧ ω k−p its mass. Given a holomorphic map f we denote by Jac(f) the Jacobian of f . If ν is an ergodic f -invariant probability measure we denote by hν(f) the metric entropy of ν with respect to f .