Miracle-dz/UniFAR-FTUs huggingface dataset:
Do you really want to hurt me? The impact of contextual factors on the moderating role of dark leadership in the relationships between learning climate facilitation, employability and turnover intention in the Netherlands and China

Introduction Both the Dutch and Chinese labor markets experience severe shortages of skilled personnel and high turnover rates, being distressing socio-economic factors. At the same time, large cross-cultural studies indicate that these national contexts are highly different from a socio-cultural perspective. When considering issues on employee development and retainment, the public debate opens for negative attributes as dark leadership, wondering if employees accept to be hurt. This study contributes to the employability research and, moreover, it contributes to the call for the ability to contextualize theories and to the convergence/divergence debate. We applied Western theories to investigate possible contextual differences in the relationships between learning climate facilitation and turnover intention, and to investigate whether this relationship is mediated by employability, and whether dark leadership is a possible moderator. Methods To test our hypotheses, we collected data from 368 Dutch and 319 Chinese respondents who participate in an executive master’s program, which was analyzed using PLS-Structural Equation Modeling. Results Employees in the Netherlands and China were found to interpret our study variables differently. Separate analyses revealed that, in both contexts, learning climate facilitation was both directly and indirectly, via the balance dimension of employability, negatively related to turnover intention. In addition, in the Dutch sample, dark leadership appeared to weaken the relationship between learning climate facilitation and the corporate sense dimension of employability, but the latter did not seem to be a mediator in the relationship with turnover intention. In the Chinese sample, no moderation effects were found. Discussion Our results show that both learning climate facilitation and dark leadership are important factors in the development and retainment of personnel and that particularly focusing on ‘balancing group and individual goals’ is important to retain personnel, regardless of national context. The latter may indicate the need for convergence of HR practices. At the same time, however, the different interpretations of the study’s variables may indicate divergence in the meaning of HR concepts. In the discussion section, we elaborate on the study’s implications for HR-researchers and -practitioners in national and global business contexts.
An Efficient License Plate Detection Approach With Deep Convolutional Neural Networks in Unconstrained Scenarios

License plate (LP) detection is a crucial task for Automatic License Plate Recognition (ALPR) systems. Most existing LP detection networks can detect License plates, but their accuracy suffers when license plates (LPs) are tilted or deformed due to perspective distortion. This is because these detectors can only detect the region where the LP is located, and even the most advanced object detectors struggle in unconstrained scenarios. To address this problem, we propose a lightweight Deformation Planar Object Detection Network (DPOD-NET), which can correct the deformed LPs of various vehicles (e.g., car, truck, electric motorcycle, bus) by detecting the LP corner points. Accordingly, the distortion associated with perspective is mitigated when we adjust the LP to a frontal parallel view through the LP corners. To optimize small errors between the predicted and true values of the LP corner points, we propose an LPWing loss function. Compared with the commonly used L1 function, the LPWing loss is derivable at the zero position, and the gradient will be bigger when errors are smaller. This enables the model to converge faster at the position where the error is close to zero, resulting in better convergence when the error between the true values and predicted values is small. In addition, the paper presents a stochastic multi-scale image detail boosting strategy, which effectively augments the dataset. Finally, to objectively evaluate the effectiveness of LP corner detection approaches, we present a dataset (LPDE-4K) including various LP types (e.g., color, country, illumination, distortion). We test the performance on various datasets, and our approach outperforms other existing state-of-the-art approaches in terms of higher accuracy and lower computational cost.
Quasi-Hopf Symmetry in Loop Quantum Gravity with Cosmological constant and Spinfoams with timelike surfaces

In this thesis we study two separate problems concerning improvements to the Loop quantum gravity and spinfoam approach to quantum gravity. In the first part we address the question about the origin of quantum group symmetries in Loop quantum gravity with non-vanishing cosmological constant Λ. Our focus is mainly the 3-dimensional Euclidean case with Λ > 0. We clarify, both at the classical and the quantum level, the quasi-Poisson and quasi-Hopf structures that arise in this case, respectively. This type of symmetry has, until recently, seen not much attention in the Loop quantum gravity literature, despite its importance for the approach. We explain the connection of our work with the Turaev-Viro state sum model, which relies heavily on the notion of twisting. To analyze our q deformed model, for q being a root of unity, we construct for the first time certain gauge invariant geometric observables for the weak quasi-Hopf algebra U res q (sl(2,C)) with truncated coproduct, using so-called tensor operators. We show that these tensor operators satisfy the quasi-Hopf version of the Wigner-Eckart theorem and explicitly calculate the action of lengthand angleoperators, which confirms the spherical curvature of our quantum geometry. The second topic investigated in this thesis is the problem of timelike contributions for 4-dimensional Lorentzian spinfoam models, using the twistorial parametrization of Loop quantum gravity. We prove how the cotangent bundle T∗SU(1, 1) can be embedded into T∗SL(2,C) via symplectic reduction by the simplicity constraints for a spacelike normal vector and an area matching constraint. This mathematical result is used to study timelike 2-surfaces in 4D Lorentzian gravity, both at the classical and quantum level. We investigate in particular the spectrum of the area operator for timelike faces and find that it is discrete. Furthermore, building on our results, we propose a new Lorentzian spinfoam model, which allows to include timelike contributions.
Shock-Wave and Detonation Studies at ITEP-TWAC Proton Radiography Facility

In recent years studies of shock and detonation wave phenomena at extreme dynamic conditions were performed at proton radiography facility developed at the 800 MeV proton beam line of ITEP Terawatt Accelerator (ITEP-TWAC). The facility provides a multi-frame imaging capability at 50 μm spatial and 70 ns temporal resolution. The results of latest studies conducted there are presented, including explosion and detonation of pressed and emulsion high explosives, shock-induced dense non-ideal plasma of argon and xenon and shock loading of non-uniform metal surfaces. New compact explosive generators developed specifically for a use at proton radiography facilities are also presented.
Methylphenidate as a treatment option for substance use disorder: a transdiagnostic perspective

A transition in viewing mental disorders from conditions defined as a set of unique characteristics to one of the quantitative variations on a collection of dimensions allows overlap between disorders. The overlap can be utilized to extend to treatment approaches. Here, we consider the overlap between attention-deficit/hyperactivity disorder and substance use disorder to probe the suitability to use methylphenidate as a treatment for substance use disorder. Both disorders are characterized by maladaptive goal-directed behavior, impaired cognitive control, hyperactive phasic dopaminergic neurotransmission in the striatum, prefrontal hypoactivation, and reduced frontal cortex gray matter volume/density. In addition, methylphenidate has been shown to improve cognitive control and normalize associated brain activation in substance use disorder patients and clinical trials have found methylphenidate to improve clinical outcomes. Despite the theoretical basis and promising, but preliminary, outcomes, many questions remain unanswered. Most prominent is whether all patients who are addicted to different substances may equally profit from methylphenidate treatment.
Calibration of the E3SM Land Model Using Surrogate‐Based Global Optimization

Calibration of the Energy Exascale Earth System Model (E3SM), land model (ELMv0) is challenging because of its model complexity, strong model nonlinearity, and significant computational requirements. Therefore, only a limited number of simulations can be allowed in any attempt to find a near‐optimal solution within an affordable time. The goal of this study is to calibrate some of the ELMv0 parameters to improve model projection of carbon fluxes. We propose a computationally efficient global optimization procedure using sparse‐grid based surrogates. We first use advanced sparse grid (SG) interpolation to construct a surrogate system of the ELMv0, and then calibrate the surrogate model in the optimization process. As the surrogate model is a polynomial whose evaluation is fast, it can be efficiently evaluated a sufficiently large number of times in the optimization, which facilitates the global search. We calibrate eight parameters against five years of net ecosystem exchange, total leaf area index, and latent heat flux data from the U.S. Missouri Ozark flux tower. The calibrated model is then used for predicting the three variables in the following 4 years. The results indicate that an accurate surrogate model can be created for the ELMv0 with a relatively small number of SG points, i.e., a few ELMv0 simulations that can be fully parallel. And, the application of the optimized parameters leads to a better model performance and a higher predictive capability than the default parameter values in the ELMv0.
An optimal investment and risk control policy for a bank under exponential utility

ABSTRACT Motivated by the Basel Capital Accord Requirement (CAR), we analyze a risk control portfolio selection problem under exponential utility when a banker faces both Brownian and jump risks. The banker's risk process and the dynamics of the risky asset process are modeled as jump-diffusion processes. Assuming that the constraint set of all trading strategies is in a closed set, we study the terminal utility optimization problem via the backward stochastic differential equation (BSDE) under risk regulation paradigm. We construct the BSDE by means of the martingale optimality principle, giving conditions for the corresponding generator to be well defined in order to derive the bounds on the candidate optimal strategy. We then construct an internal model for the bank under Basel III CAR, which is formulated from the total risk-weighted assets (TRWA's) and bank capital. The results obtained from this model can be adopted within the banking sector when setting up asset investment strategies and advanced risk management models, as advocated by the Basel III Accord.
Description of Family Support on the Motivation of Heart Failure Patients in Undergoing Treatment

Chronic disease is a condition that causes a person to be hospitalized. One of the chronic diseases is heart failure. Heart failure is more common in older people with weakened heart chambers responsible for pumping blood throughout the body. This study aimed to determine the description of family support on the motivation of heart failure patients in undergoing treatment. This research is descriptive quantitative with cross-sectional research design. This research was conducted at the cardiac polyclinic at Sebelas Maret University Hospital, Sukoharjo Regency. The research was conducted in March-April 2023. The population in this study were all patients with heart failure at the heart polyclinic at UNS Hospital, totaling 1.114. The sample for this study was 294 respondents. The sampling technique used purposive sampling technique. Data collection in this study used the Family Support questionnaire and the Client Motivation For Therapy Scale. Analysis of this research data with descriptive univariate analysis. The results of this study were family support for the motivation of heart failure patients in undergoing treatment at the heart polyclinic, the majority of whom were 160 (54.4%) women, 140 (47.6%) aged 51-65 years, had high school/vocational high school education. 108 respondents (36.7%), the majority suffered from illness for 1-5 years, 182 respondents (61.9%) and the New York Heart Association classification in patients with heart failure, the majority of NYHA II, were 150 respondents (51.0%). The level of family support for heart failure patients undergoing treatment in the good category was 269 (91.5%), and the level of motivation was 147 (50.0%). For people with heart failure, it is hoped that they will have the motivation to take treatment that improves and is supported by the family so that it does not become a burden but can provide and increase knowledge through education to increase motivation for treatment.Keywords: Family Support, Heart Failure, Treatment motivation
Discourse analysis of news frames in Philippine banner stories on COVID-19: implications for media and information literacy during crises

Abstract To understand newspapers’ Covid-19 portrayal in the Philippines and contribute to COVID-19 media framing literature, this study identified news frames in 97 banner stories of three Philippine broadsheets and determined how major frames depicted COVID-19 during its initial spread in the country (January 30 - March 25, 2020). Utilizing deductive and inductive approaches to generate news frames for coding, results yielded 12 frames in the three newspapers, with Action, New Evidence, Reassurance, Conflict, Economic Consequence, and Social Consequence as major frames. Generally, the newspapers’ pandemic depiction was similar in foregrounding government response and new COVID-19 information instead of news that invites fear and panic. Variations were found in the newspapers’ individual focus on the pandemic, conflicts about it, and its economic effects – nuances which reflected the newspapers’ reputation. Results identify the need for developing people’s critical media and information literacy skills. Studying COVID-19 news framing in developing these skills is recommended.
Effect of Soybean Extract on sFlt-1 LEVELS in Huvecs Cultures Induced by Preeclampsia Plasma

Preeclampsia is a dangerous pregnancy issue that causes hypertension at ≥20 weeks of gestation. Oxidative stress is known to play a role in the pathophysiology of preeclampsia by raising the activity of soluble fms-like tyrosine kinase 1 (sFlt-1) and causing endothelial dysfunction. As a result, antioxidants are utilized as a therapy in preeclampsia to protect the body from the impacts of free radicals. This study aims to determine the effect of soybean extract on sFlt-1 levels in HUVECs cultures exposed to preeclamptic plasma. The benefit of this study is the consideration for clinicians to provide soybean ethanol extract supplements (Glycine max) to increase the potential of antihypertensive therapy. Human umbilical vein endothelial cell cultures (HUVECs) were used in the study, which was conducted in vitro. HUVECs cultures were exposed to preeclampsia plasma and subsequently treated for 24 hours with various dosages of soybean extract. The enzyme-linked immunosorbent assay (ELISA) measured the sFlt-1 levels in each observation group. The hypothesis was tested using One-Way ANOVA analysis with SPSS version 25 software. This study found a significant difference (p <0,05) between the mean value of the positive control group and the negative control group. A significant difference was also found (p <0,05) in the mean value of sFlt-1 between the positive control group and the treatment group that was given soybean extract at doses of 17,5 ppm. Soybean extract had a significant effect on decreasing sFlt-1 levels in HUVECs cultures exposed to preeclamptic plasma. Thus, soybeans isoflavones have the potential to treat preeclampsia by reducing anti-angiogenic factors.
Evaluation of regression of diabetes-induced nephropathy and vascular dysfunction in rats by Montelukast via antioxidative and anti-inflammatory actions

This research investigated the effects of montelukast (MONT), a leukotriene receptor antagonist, on diabetes-associated nephropathy and vascular dysfunction in streptozotocin (STZ) diabetic rats. STZ-diabetic Sprague-Dawley rats (a single STZ injection, 50 mg/kg, i.p.) were randomly allocated into three groups ( n = 8 each): STZ (received the drug vehicle), STZ-LOS (received Losartan (LOS), 25 mg/kg/day, orally), and STZ-MONT (received MONT, 10 mg/kg/day, orally). Drug administration started 2 weeks after the induction of diabetes and continued till the end of the experiments (10 weeks). A group of age-matched normal rats was set as a control. After 70 days, urine and serum specimens were obtained for biochemical assessments. Moreover, in renal and/or aortic tissue homogenates, levels of reduced glutathione, superoxide dismutase, malondialdehyde, nitric oxide, tumor necrosis factorα (TNF-α), and transforming growth factor-β1 (TGF-β1) were assessed. Pathological alterations in diabetic kidneys and aorta were examined and the vascular reactivity of isolated aortic rings was investigated. MONT attenuated body weight loss, reduced diabetic renal hypertrophy, ameliorated glycated hemoglobin levels, improved renal functions, and lessened renal and aortic oxidative stress in STZ rats. Moreover, MONT reduced kidney levels of TNF-α and TGF-β1 compared to the untreated STZ group. MONT reduced histopathological alterations in renal tissues and diminished aortic medial thickness in diabetic animals. MONT also attenuated enhanced contractile reactivity of STZ aortas to phenylephrine.
Symmetry-Breaking for Immersed Constant Mean Curvature Hypersurfaces

Abstract In this paper we prove the existence of constant mean curvature hypersurfaces which are cylindrically bounded and which bifurcate from the family of immersed constant mean curvature hypersurface of revolution. Based on the study of the spectrum of the Jacobi operator (the linearized mean curvature) about this family, the existence of new branches follows from a bifurcation result of Crandall and Rabinowitz.
Depth-Averaged Boussinesq Equations Applied to Flow in a Converging Channel

Supereritical flow in a contracting channel is simulated by numerically solving the 2D depth-averaged Boussinesq equations using a fmite-difference model DASH (Molls and Chaudhry 1995, Molls et al. 1995). To accomplish the time differencing, the model uses a second-order accurate Beam and Warming approximation; while, the spatial derivatives are approximated by second-order accurate central differencing. The equations are solved using an alternating direction-implicit (ADI) scheme. Due to the formation of cross waves, the water depth varies considerably in, and downstream of, the contraction and a non-hydrostatic pressure distribution is anticipated. To ascertain the importance of the Boussinesq terms, results are obtained with and without these terms. The numerical results are compared with experimental data reported by Ippen and Dawson (1951) for flow in a straight-walled contraction. The results indicate that including the Boussinesq terms does not significantly alter the converged solution.
Pulmonary Arterial Hypertension in Hyperthyroidism: Age, Ethnic, and Gender Disparities

Objective: Pulmonary arterial hypertension (PAH) affects 2.6% of adults and 36% of people with chronic obstructive pulmonary disease (COPD). Several case reports and small case series suggested a hyperthyroidism-PAH association. Design: Retrospective chart review. Methods: We undertook a retrospective chart review (1982–2018) to assess PAH prevalence in a multi-ethnic convenience sample of hyperthyroid adults with multiple etiologies. We calculated associations of pulmonary artery maximum systolic pressure (PSAPmax) with subject age, and maximum serum triiodothyronine (T3) and thyroxine (T4), free T3, and T4, minimum serum thyroid-stimulating hormone (TSH), and thyroid antibody titers, comparing PAH prevalence and the odds of being undiagnosed as to hyperthyroidism etiology by gender and ethnicity/race. Results: We found a high prevalence of PAH in hyperthyroid people, like that reported for people with COPD. We found no significant association between PSAPmax and any thyroid function test or thyroid antibody titer. As reported more recently in the general population, PSAPmax significantly correlated with age in hyperthyroid people. There was no significant disparity in the prevalence of PAH among White, non-Hispanic Black, and Latinx hyperthyroid people or between genders. The percentage of patients whose hyperthyroidism etiology was undiagnosed was high with significant disparity only between non-Hispanic Black and White people and between men and women. PAH was common in hyperthyroid subjects with any hyperthyroidism etiology. Conclusions: 2D-echocardiography should be performed in all hyperthyroid people because PAH is common, especially in older people because of their co-morbidities and poorer prognoses. Further research is needed regarding demographic disparities in being undiagnosed as to hyperthyroidism etiology. Principal Verdicts/Significance Statement: We reconfirmed the high PAH incidence in hyperthyroidism, previously reported, but profoundly under-recognized by physicians, to patients’ detriment. Further, we found that the shift in the general PAH population from younger to older individuals is mirrored in hyperthyroid people with PAH. This is concerning because older people have more co-morbidities and worse prognoses, necessitating early, effective intervention. PAH was present with diverse hyperthyroidism etiologies, suggesting that it is multicausal, resulting from autoimmunity, thyroid hormone excess, and goitrous upper airway obstruction and should be considered, regardless of etiology. Our observations that many subjects had no established hyperthyroidism etiology and that males and Blacks were likelier to be undiagnosed are concerning, warranting further study.