Miracle-dz/UniFAR-FTUs huggingface dataset:
Contribution of religious moderation among multicultural counseling competence

The issue of religious moderation in Islamic counseling is part of the ethical and moral values of the counselor. Religious moderation education should be able to improve multicultural competence, especially in prospective Islamic counselors. This study aims to analyze whether religious moderation contributes to the development of multicultural counseling competence. The study used ex-post facto to examine the relationship between religious moderation and the multicultural counseling competence. The research was conducted through a survey using a google form to 30 students of Islamic Guidance and Counseling at UIN Sultan Maulana Hasanuddin Banten and 30 students of guidance and counseling at the University of PGRI Palembang. The results showed that religious moderation contributes to the development of multicultural counseling competencies. Religious moderation supports the development of multicultural insight regarding differences in values and a person's perspective in religion.
Personal, Social and Regulatory Factors Associated With Telecare Acceptance by Hong Kong Older Adults: An Indication of Governmental Role in Facilitating Telecare Adoption

Abstract Telecare has the potential to tackle emerging problems in public healthcare resulting from the graying of population. This study aims to investigate the personal, social and regulatory factors associated with the telecare acceptance for older adults in Hong Kong. A structured questionnaire survey was administered to 110 seniors aged 60–80 years. The results revealed that older people prefer to use the products that they are familiar with. Seniors of very poor economic status are likely to use telecare service. Family and friends support, self-satisfaction, and social relationship are critical factors which positively influence telecare usage of older adults via influencing their perceived ease of use and perceived usefulness. Regulatory factor of perceived incentives positively associates with the attitude of older people toward telecare service, and in turn facilitates telecare usage. This is the first study which stressed that public regulations, such as incentive interventions, should be emphasized in promoting telecare acceptance.
Back to the Roots of Internal Credit Risk Models: Why Do Banks’ Risk-Weighted Asset Levels Converge over Time?

Internal credit risk models have been introduced to map banks’ distinct risk profiles more adequately than the standardized approach. After the switch to the internal ratings-based (IRB) approach, banks’ risk-weighted asset (RWA) densities are thus expected to diverge, especially across countries with different supervisory strictness and risk levels. However, by examining 52 listed banks headquartered in 14 European countries that adopted the IRB approach, we observe a gradual convergence of their RWA densities over time. For banks in high-risk countries with high initial RWA densities, and in countries with lax regulation, the reduction is more notable. In contrast, RWA densities of banks in countries with strict supervision increase. Furthermore, especially for banks in high-risk countries, the RWA densities underestimate banks’ actual economic risk position, becoming a less suitable indicator for country risk. We show evidence that the IRB approach provides opportunities for regulatory arbitrage, whereby authorities only enforce strict supervision on capital requirements if they do not jeopardize bank resilience. JEL classification: G21, G28
Automated Classification of Left Ventricular Hypertrophy on Cardiac MRI

Left ventricular hypertrophy is an independent predictor of coronary artery disease, stroke, and heart failure. Our aim was to detect LVH cardiac magnetic resonance (CMR) scans with automatic methods. We developed an ensemble model based on a three-dimensional version of ResNet. The input of the network included short-axis and long-axis images. We also introduced a standardization methodology to unify the input images for noise reduction. The output of the network is the decision whether the patient has hypertrophy or not. We included 428 patients (mean age: 49 ± 18 years, 262 males) with LVH (346 hypertrophic cardiomyopathy, 45 cardiac amyloidosis, 11 Anderson–Fabry disease, 16 endomyocardial fibrosis, 10 aortic stenosis). Our control group consisted of 234 healthy subjects (mean age: 35 ± 15 years; 126 males) without any known cardiovascular diseases. The developed machine-learning-based model achieved a 92% F1-score and 97% recall on the hold-out dataset, which is comparable to the medical experts. Experiments showed that the standardization method was able to significantly boost the performance of the algorithm. The algorithm could improve the diagnostic accuracy, and it could open a new door to AI applications in CMR.
Dynamics of Metabolic Pathways and Stress Response Patterns during Human Neural Stem Cell Proliferation and Differentiation

Understanding early nervous system stress response mechanisms is crucial for studying developmental neurotoxicity and devising neuroprotective treatments. We used hiPSC-derived long-term self-renewing neuroepithelial stem (lt-NES) cells differentiated for up to 12 weeks as an in vitro model of human neural development. Following a transcriptome analysis to identify pathway alterations, we induced acute oxidative stress (OS) using tert-butyl hydroperoxide (TBHP) and assessed cell viability at different stages of neural differentiation. We studied NRF2 activation, autophagy, and proteasomal function to explore the contribution and interplay of these pathways in the acute stress response. With increasing differentiation, lt-NES cells showed changes in the expression of metabolic pathway-associated genes with engagement of the pentose phosphate pathway after 6 weeks, this was accompanied by a decreased susceptibility to TBHP-induced stress. Microarray analysis revealed upregulation of target genes of the antioxidant response KEAP1–NRF2–ARE pathway after 6 weeks of differentiation. Pharmacological inhibition of NRF2 confirmed its vital role in the increased resistance to stress. While autophagy was upregulated alongside differentiation, it was not further increased upon oxidative stress and had no effect on stress-induced cell loss and the activation of NRF2 downstream genes. In contrast, proteasome inhibition led to the aggravation of the stress response resulting in decreased cell viability, derangement of NRF2 and KEAP1 protein levels, and lacking NRF2-pathway activation. Our data provide detailed insight into the dynamic regulation and interaction of pathways involved in modulating stress responses across defined time points of neural differentiation.
Evaluation of medium maturity group of soybean (Glycine max L. Merr) for agronomic performance and adaptation in Sudanian zone of Burkina Faso

Soybean is an economically important crop that provides oil and high-quality protein. In Burkina Faso, soybean is one of the promising crops identified in the framework of the strategy for the development of agricultural sectors. However, very few improved varieties have been developed. The identification of newly improved varieties with high agronomic potential and adapted to the climatic conditions will strengthen soybean production in the country. The objective of this study was to evaluate the agronomic performance of 24 soybean genotypes at the Farako-Bâ Research Station in the Sudanian zone of Burkina Faso. The experimental design was an alpha lattice arranged in a 50 cm × 5 cm with 3 replications. The results of this research revealed significant differences (p <0.05) among genotypes with reference to days to flowering, days to maturity, number of nodules, plant height, pod clearance, number of pods, pod shattering, hundred seed weight and number of nodes. Nodules score and diameter, number of branches and grain yield were non-significant. Based on agronomical traits, three genotype groups were clustered. Clusters 1 consisted of the high grain yield groups with the genotypes TGX2017-5E (2083.33 kg/ha), TGX1993-4FN (1666.67 kg/ha), TGX2017-6E (1666.67 kg/ha) and TGX2016-4E (1583.33 kg/ha), being the highest yielding.
PENGARUH LIKUIDITAS, STRUKTUR MODAL, UKURAN PERUSAHAAN, DAN LEVERAGE TERHADAP PROFITABILITAS PADA PERUSAHAAN SUB SEKTOR OTOMOTIF

Profitability is one of the benchmarks for the success of a company. Profitability shows the company's ability to earn a profit or a measure of the effectiveness of the company's management. This study was conducted with the aim of analyzing the effect of liquidity, capital structure, firmsize, and leverage on firm profitability. This research was conducted on automotive and component sub-sector companies on the Indonesia Stock Exchange for the 2015-2019 period with a research sample of 12 companies. The method of determining the sample used is purposive sampling. Methodsof data collection with non-participant observation. The data analysis technique used is the Multiple Linear Regression. Based on the results of the analysis found that liquidity, capital structure and firm size have a positive and significant effect on profitability, leverage has a negative and insignificant effect on profitability. The implications of this research are expected for the company to be a basis for consideration in making decisions related to liquidity, capital structure, company size, and leverage which will have an impact on company profitability. Companies are advised to maintain optimal levels of liquidity so that the company remains stable and safe. Companies arealso advised to consider the resources they have, either in the form of own capital or debt, which are used to gain profitability. Keywords: profitability, liquidity, capital structure, company size, leverage
Thidiazuron Induced In Vitro Clonal Propagation of Lagerstroemia speciosa (L.) Pers.—An Important Avenue Tree

A high throughput regeneration protocol has been developed for Lagerstroemia speciosa through node explants under the regime of various plant growth regulators (PGRs). This protocol can provide an alternative mode to seed-grown plants and minimize the cost–time of regeneration, significantly. Murashige and Skoog (MS) medium containing various combinations of PGRs exhibited a marked stimulatory effect on morphogenesis. Of the various combinations tried, node explant pretreated with thidiazuron (TDZ; 5.0 µM) for 4 weeks and followed with transfer into MS medium containing 1.0 μM 6-benzyladenine (BA) and 0.25 μM α-naphthalene acetic acid (NAA) was reported to be the best treatment as it resulted in a maximum number of 24.5 shoots with an average shoot length of 7.1 cm per explant in 90% of cultures after 12 weeks of incubation. The in vitro-generated shoots rooted satisfactorily in the adopted ex vitro method of rooting, which saves time and cost. Among the different treatments, the greatest rooting percentage (85%) was observed in the 200 μM IBA-treated shoots, with the highest root number (8.7) and length (3.4 cm) occurring after 4 weeks. Four months after being transferred to ex vitro, some of the physiological attributes of the in vitro-propagated plants were examined and compared to the ex vitro plants. Further, analysis of the genetic integrity in tissue culture-raised plantlets along with the parental tree was accomplished through DNA-based RAPD technique. The monomorphic banding pattern obtained by the RAPD primers resulted in a high level of genetic uniformity in regenerated plants.
Effects of Different Heave Motion Components on Pilot Pitch Control Behavior

The study described in this paper had two objectives. The first objective was to investigate if a different weighting of heave motion components decomposed at the center of gravity, allowing for a higher fidelity of individual components, would result in pilot manual pitch control behavior and performance closer to that observed with full aircraft motion. The second objective was to investigate if decomposing the heave components at the aircraft's instantaneous center of rotation rather than at the center of gravity could result in additional improvements in heave motion fidelity. Twenty-one general aviation pilots performed a pitch attitude control task in an experiment conducted on the Vertical Motion Simulator at NASA Ames under different hexapod motion conditions. The large motion capability of the Vertical Motion Simulator also allowed for a full aircraft motion condition, which served as a baseline. The controlled dynamics were of a transport category aircraft trimmed close to the stall point. When the ratio of center of gravity pitch heave to center of gravity heave increased in the hexapod motion conditions, pilot manual control behavior and performance became increasingly more similar to what is observed with full aircraft motion. Pilot visual and motion gains significantly increased, while the visual lead time constant decreased. The pilot visual and motion time delays remained approximately constant and decreased, respectively. The neuromuscular damping and frequency both decreased, with their values more similar to what is observed with real aircraft motion when there was an equal weighting of the heave of the center of gravity and heave due to rotations about the center of gravity. In terms of open- loop performance, the disturbance and target crossover frequency increased and decreased, respectively, and their corresponding phase margins remained constant and increased, respectively. The decomposition point of the heave components only had limited effects on pilot manual control behavior and performance.
Characteristics of Electron Microburst Precipitation Based on High‐Resolution ELFIN Measurements

We present statistical characteristics of electron microburst precipitation using high time‐resolution measurements from the low‐altitude Electron Losses and Fields InvestigatioN (ELFIN) CubeSats. The radial distribution of the equatorial projection of microbursts as a function of geomagnetic activity suggests that they are produced by resonant interaction with quasi‐parallel lower‐band chorus waves. ELFIN electron flux measurements provide the first statistical models of microburst energy spectra from 50 keV to 2 MeV. Microbursts with energies up to 150 keV have a relatively flat pitch‐angle spectrum. Estimates of scattering rates required to produce the observed flat spectra suggest that such precipitation signatures are due to near‐equatorial electron scattering by chorus wave packets with peak amplitudes of 0.4–0.9 nT, well above the threshold for nonlinear resonant interaction. More rare microbursts, exceeding 500 keV, are observed preferentially near dawn during disturbed periods. We interpret them as evidence of scattering by intense ducted chorus waves propagating from the equator up to middle latitudes with little attenuation.
COVID-19 in the Time of Climate Change: Memetic Discourses on Social Media

ABSTRACT This paper analyzes the proliferation of memes linked to COVID-19 and climate change online discussions, looking particularly at how themes related to these two issues intersect with each other. To better understand the intersections, cross-pollinations, and mutations between these different but related forms of information dissemination, our research is based on applied thematic analysis and empirically analyzes memes deployed through two popular social media platforms (Facebook and Instagram). Both issues pose existential threats to humans, and studying the connection between the two through social media memetic discourses offers important empirical insight into ordinary users’ views. The findings reveal eight themes that show different kinds of relations between COVID-19 and climate change. Memes present COVID-19 either as a solution or as a problem to climate change; they portray different effects between COVID-19 and climate change, and some consider both of them as hoaxes and/or conspiracies. Similarly, to previous studies, we see a relationship between political ideologies and views on climate change and COVID-19. Additionally, our findings show that believing climate change as a hoax and/or conspiracy is also linked to the same view that COVID-19 is fake. We also found a reasonably even spread of themes across both Instagram and Facebook, indicating that these social platforms do not harbor a clear ideological split.
Evaluation of the Early Childhood Music Education project’s influence on the development of 3- to 5-year-old children in Andalusia, Spain

Abstract In 2005, the Barenboim-Said Foundation launched the Early Childhood Music Education project in Andalusia (Spain) to promote music education for young children. Ten years later, an initial study was performed to evaluate the influence of the project on the development of the participating children. The results of this study form part of a broader ongoing research project, in collaboration with the University of Seville, aimed at investigating the influence of the Early Childhood Music Education project on general aspects of child development. This study has a quasi-experimental design, framed in Gardner’s Theory of Multiple Intelligences, consisting of an experimental and a control group (n = 1101) and the administration of a questionnaire, adapted to measure and compare means between the two groups, as the sole measurement tool. The results, analysed using an independent samples t-test for the comparison of means and Cohen’s d effect size, reveal statistically significant differences in the means of the dimensions of the experimental and control groups. This confirms the hypothesis that the Early Childhood Music Education project has a positive impact on the different dimensions, in accordance with Gardner’s Theory of Multiple Intelligences.
Proposed Ranked Strategy for Technical and Economical Enhancement of EVs Charging With High Penetration Level

Car exhaust is one of the most common causes of ozone hole aggravation, electrical vehicles (EVs) represent a promising solution to avoid this problem. Despite the benefits of EVs, their random charging behavior causes some difficulties regarding the electric network performance, such as increased energy losses and voltage deviations. This paper aims to achieve the proper scheduling of the EVs charging process, avoid its negative impacts on the network, and satisfy the EVs users’ requirements. The EVs charging process is formulated as an optimization problem and solved using particle swarm optimization. The optimization problem formulation considers the EV arrival and departure times and the state of charge required by the user. Different strategies such as separated, accumulated, and ranked strategies with continuous or interrupted fixed charging have been applied to solve the uncoordinated EVs charging problem. These strategies are extensively tested on the modified IEEE 31 bus system (499-node network), using the combination of both Open DSS and MATLAB m-files. The simulation results confirm the effectiveness of the proposed accumulated ranked strategy with interrupted fixed charging in improving the overall power system performance. The achieved improvements include minimizing: the peak power consumed, the peak power losses, and the voltage drop. Moreover, the cost of the EVs charging in most of the feeders has been decreased to a satisfying value. A comparison between the proposed strategy and some previously reported strategies has been performed to ensure the technical and economic enhancement of the proposed strategy.
A Fuzzy-set Approach to Re-Exploring Work-related Stress-outcome Relationships: Implications for Research Methods, Theory and Practice

This study employs fuzzy-set Qualitative Comparative Analysis to re-examine the more traditional correlational and regression models used to understand work stress and outcome relationships. Indeed, theoretical frameworks have been constructed underlying this premise and so have interventions assumed such principles. This study argues that the relationship between perception of stressors is not necessarily continuously linear and hence assessing non-linear but also more complex configurations becomes pivotal. While it is acknowledged that theory is important to simplify the explanation underlying the phenomenon of interest, likewise theory should also acknowledge new patterns that hide ‘inside’ the data and which reveal new pockets of information that explain the phenomenon better. Therefore, in line with calls for researchers to explore further new configurational patterns in the data and thus help build and refine theory, we examine potential complex associations between work-related stress and salient outcomes namely mental health, physical symptoms, presenteeism and intention to quit using fuzzy-set Qualitative Comparative Analysis instead of the more traditional correlational approach. Fuzzy-set methodology involves a number of parameters that include non-linearity but also equifinality and asymmetric associations. Reponses were obtained from 509 employees who volunteered to fill in a work-related stress questionnaire as part of a wider campaign related to the management of psychosocial hazards at work and the data was subject to fuzzy-set configuration analysis between stressors and outcomes. Fuzzy-set analyses revealed that specific points of high or low levels of work stress did not necessarily concur with more common regression results but revealed interesting pattern associations between work related stress and outcomes. The results imply that by adopting traditional methods, the relations observed would be either over- or under- estimated and researchers are urged to explore new research methodological approaches such as fuzzy-set methodology in the analyses of their data that may reveal new patterns and hence better inform both theory and practice.
Interactions between Fish and Invertebrates in the Lowland Area of the Sava River following Excessive Change in Hydrological Regime

The littoral zones of freshwaters are highly susceptible to extreme hydrological fluctuations caused by climate-induced changes in the water cycle. Disturbances in the hydrology could affect fish assemblages and their trophic interactions with invertebrates, which constitute a large part of fish diets. In 2014 and 2015, the littoral zone of the Sava River (Croatia) was studied to determine the influence of hydrological extremes on (1) fluctuations in environmental drivers and biocoenoses, and (2) the trophic relationships between fish, macroinvertebrates and zooseston, in an attempt to reveal their trophic interactions. Biocoenotic components showed different tolerance to extreme discharge, resulting in remarkable reductions in fish abundance, diversity, biomass, size and, presumably due to dilution, the abundance of zooseston, which is an important food for fish larvae. By contrast, benthic macroinvertebrates did not show significant fluctuations in abundance, but the share of benthic groups of organisms was shifted during high discharge. Gastropods and amphipods were found to be important food sources for fish. The present study helps to highlight the consequences of hydrological disturbances caused by climate change: the enhancement of stressors in riverine littoral habitats and inhabited communities.