Miracle-dz/UniFAR-FTUs huggingface dataset:
Decision Reversibility and Satisfaction: The Mediating Role of Counterfactual Thinking and Anticipated Regret

Purpose Extensive research has shown that reversible decisions yield lower post-decision satisfaction than irreversible decisions. However, to date, little is known about how decision reversibility affects post-decision satisfaction. Based on regret theory, this study aimed to examine the mediating role of counterfactual thinking and anticipated regret in the association between decision reversibility and satisfaction. Methods In this study (130 participants), participants were randomly assigned to two personnel decision situations with reversible and irreversible decision outcomes, and all participants completed questionnaires during the process of completing the decision task. The questionnaires used included the Counterfactual Thinking for Negative Events Scale, Anticipated Regret Scale, and satisfaction questionnaire. Finally, the data were statistically analyzed using the base package in R and PROCESS 3.5. Results The results show that (1) Compared to irreversible decisions, reversible decisions have a significant negative impact on satisfaction. (2) Counterfactual thinking plays a mediating role between decision reversibility and satisfaction. (3) Compared with irreversible decisions, reversible decisions further lowered the level of post-decision satisfaction through the chain mediating effects of counterfactual thinking and anticipated regret. Conclusion People’s lowered levels of post-decision satisfaction in the reversible decision condition relate to increased levels of counterfactual thinking and anticipated regret. In addition, counterfactual thinking can play a mediating role alone, indicating that this variable may be critical in understanding the mechanisms by which decision reversibility affects satisfaction. This knowledge may be used to help people optimize their decision-making behavior.
Thangka Yidam classification based on DenseNet and SENet

Abstract. Thangka Yidam classification is of great importance for understanding the image content and experiencing the Tibetan living culture. However, few samples, complex composition, and diverse Thangka images give the present methods a challenge for Thangka Yidam classification. To this end, we propose an improved method for Thangka Yidam classification based on DenseNet and SENet, which improves the transmission and reuse of feature information. First, a weighted pooling function is designed in the squeeze operation of SENet to alleviate the loss of feature information. Second, we further embed the improved SENet between dense blocks and transition layers of DenseNet to learn the weight correlation between feature channels. Finally, we adopt the Leaky ReLU function to optimize the network in DenseNet. The experimental results demonstrate that the accuracy of our method on the constructed Thangka dataset is increased by 5.54% to 95.89% compared with DenseNet model, and the accuracy on the Cifar-10 dataset is increased by 2.23% to 92.46%. Moreover, the experiments on Thangka dataset also show the significant improvements of our approach over the state-of-the-art methods, which proves the generalization ability of our method.
IFNγ directly counteracts imatinib-induced apoptosis of primary human CD34+ CML stem/progenitor cells potentially through the upregulation of multiple key survival factors

ABSTRACT Tyrosine kinase inhibitors (TKIs) have dramatically improved the survival in chronic myeloid leukemia (CML), but residual disease typically persists even after prolonged treatment. Several lines of evidence suggest that TKIs administered to CML patients upregulate interferon γ (IFNγ) production, which may counteract the anti-tumorigenic effects of the therapy. We now show that activated T cell-conditioned medium (TCM) enhanced proliferation and counteracted imatinib-induced apoptosis of CML cells, and addition of a neutralizing anti-IFNγ antibody at least partially inhibited the anti-apoptotic effect. Likewise, recombinant IFNγ also reduced imatinib-induced apoptosis of CML cells. This anti-apoptotic effect of IFNγ was independent of alternative IFNγ signaling pathways, but could be notably diminished by STAT1-knockdown. Furthermore, IFNγ upregulated the expression of several anti-apoptotic proteins, including MCL1, PARP9, and PARP14, both in untreated and imatinib-treated primary human CD34+ CML stem/progenitor cells. Our results suggest that activated T cells in imatinib-treated CML patients can directly rescue CML cells from imatinib-induced apoptosis at least partially through the secretion of IFNγ, which exerts a rapid, STAT1-dependent anti-apoptotic effect potentially through the simultaneous upregulation of several key hematopoietic survival factors. These mechanisms may have a major clinical impact, when targeting residual leukemic stem/progenitor cells in CML.
Implicit Theories of Intelligence and Achievement Goal Orientations: How are they Associated with College Student Academic Achievement?

The present study considers social-cognitive theory constructs associated with implicit theories of intelligence and achievement goal theory concerning the academic achievement of first-time college students. We examined growth and entity mindsets along with mastery learning, performance-approach and performance-avoidance achievement goals in relation to academic achievement. Furthermore, social-cognitive theory predications were examined to determine whether achievement goals mediated relationships between growth and entity mindsets and academic achievement. We randomly sampled 2,000 college students from a large research-intensive public university in the United States; of which 839 students provided complete data. Using an online survey, we collected self-reported baseline measures of students' implicit theories of intelligence and achievement goal orientations. We matched data from these measures with two years of college Grade Point Average (GPA). Multiple regression analyses of the baseline data partially supported the hypothesized relationships between growth and entity mindsets with learning and performance goal orientations. A growth mindset was a positive predictor of the mastery of learning goal orientation. Unexpectedly, mastery learning positively predicted both performance goal orientations, but relative to entity mindset was a weaker predictor of performance-avoidance goal orientation. Longitudinal analysis with college GPA as the dependent variable found growth mindset negatively predicted end of year two GPA. This relationship was moderated by mastery goal orientation with greater levels of mastery goal orientation associated with a larger negative relationship between growth mindset and end of year two GPA. Furthermore, the growth mindset by mastery goal orientation by time interaction was statistically significant with students either high in both or low in both experiencing lower GPA over time. Exploration of the mediation hypotheses was partially supported by path analysis. Implications for theory, practice and further research are discussed.
AGE AND GENDER AS DETERMINANTS OF ACADEMIC ACHIEVEMENTS IN COLLEGE MATHEMATICS

Mathematics Education occupies a central position to all disciplines. This study considered age and gender as determinants of academic achievement (CGPA) of Mathematics students. The study used thirty eight (38) females and forty (40) males giving a total sample of seventy eight (78). Scatter-plot, mean and Standard deviation were used for the descriptive statistics while univariate analysis of variance (ANOVA) and multiple regressions were used for the inferential statistics. T-test was used to test the null hypothesis formulated (P 0.05). Result revealed a linear relationship between, age-CGPA and gender–CGPA. A low positive correlation coefficients was obtained for ages and gender (r=0.142 and 0.004) which were not significant. The predictor variables jointly accounted for 2.1% of the variance, age was the better predictor. The null hypothesis tested was accepted implying no significant gender difference in academic achievement of the students. It was suggested that some more variables be included so as to determine significant correlation of students’ academic achievement of Mathematics students.
Millennials' Deals with Plastic: The Effect of Natural Environmental Orientation, Environmental Knowledge, and Environmental Concern on Willingness to Reduce Plastic Waste

To maintain environmental sustainability can be managed and resolved by changing human behavior, especially by reducing plastic waste. This study investigated whether natural environmental orientation, environmental knowledge, environmental concern, and environmental attitude affect the extent to which millennials avoid or reduce the purchase of single-use plastic tableware, food with plastic packaging, and plastic water bottles called Willingness to Reduce Plastic Waste (WRPW). This study used quantitative using the purposive sampling method. Data collection techniques using online questionnaires were sent to respondents with criteria for educated millennial Muslims at Islamic universities in East Java, Central Java, and West Java. The survey was conducted for three months and obtained 369 respondents. The questionnaire is processed by using SEM analysis with Smart PLS. The results show that environmental knowledge provides a direct and an indirect effect on willingness to reduce plastic waste through environmental attitude. Meanwhile, environmental concern has no direct effect on willingness to reduce plastic waste, yet it has an indirect effect through environmental attitude. This research implies that concern for the environment is not necessarily accompanied by the willingness to reduce the use of plastic. However, adequate knowledge about the environment can increase the willingness to reduce the use of plastic among millennial generations who prioritize logical thinking and adapt to their knowledge.
Shape optimization with immersed interface finite element method

Shape Optimization using conventional interface‐fitted finite element method requires either mesh morphing or remeshing, which is computationally expensive and prone to errors due to suboptimal mesh or solution interpolation. In this article, we present a shape optimization scheme which uses a four‐noded rectangular immersed‐interface element circumventing the need for interface‐fitted mesh for finite element analysis, and mesh morphing or re‐meshing for shape optimization. The analysis problem is solved using a non‐conformal, Petrov–Galerkin (ncPG) formulation. We use non‐conformal trial functions with conformal test functions. A fixed structured grid with a linear approximation for the interface within each element is used. We perform a bi‐material patch test to confirm the consistency and convergence of the immersed‐interface finite element method (IIFEM). The convergence of the displacement and stress error norms are of the same or slightly better order compared to the interface‐fitted FEM. Thus, IIFEM reduces the cost of meshing without compromising the accuracy of the solutions obtained. We then perform analytical design sensitivity analysis to obtain the gradient of the global stiffness matrix with respect to shape design variables. The sensitivities are used in the gradient‐based optimization formulation of the shape design problem. We present several ways to parametrize the design space. Finally, verification and case studies are presented to demonstrate the accuracy and potential of the approach.
Hierarchy of minimal flow units in the logarithmic layer

The minimal simulation boxes of the buffer layer of turbulent channels can be extended to the logarithmic and outer regions, where they contain a segment of streamwise velocity streak, and a vortex cluster. Smaller boxes restrict “healthy” turbulence closer to the wall, to a layer whose thickness scales with the spanwise size of the box. These minimal boxes burst quasiperiodically, and the bursting period for a band of wall distances grows linearly away from the wall, independently of the box size within the limits within which turbulence is well represented.
Sub‐hourly resolution quality control of rain‐gauge data significantly improves regional sub‐daily return level estimates

This research demonstrates how the use of high‐resolution rain‐gauge data for quality control (QC) significantly changes extreme rainfall estimates, with implications in scientific, meteorological and engineering applications. Current open QC algorithms only consider data at hourly or daily accumulations. Here we present the first open QC algorithm utilising sub‐hourly rain‐gauge data from official networks at a national, multi‐decade scale. We use data from 1,301 rain‐gauges in Great Britain (GB) to develop a threshold‐based methodology for sub‐hourly QC that can be used to complement existing, freely available hourly QC methods by developing an algorithm for sub‐hourly QC that uses monthly thresholds for 1 hr, 15 min and 1 min rainfall totals. We then evaluated the effect of combining these QC procedures on rainfall distributions using graphical and statistical methods, with an emphasis on extreme value analysis. We demonstrate that the additional information in sub‐hourly rainfall allows our new QC to remove spuriously large values undetected by existing methods which generate errors in extreme rainfall estimates. This results in statistically significant differences between extreme rainfall estimates for 15 min and 1 hr accumulations, with smaller differences found for 6 and 24 hr totals. We also find that extremes in the distributions of 15 min and 1 hr rainfall accumulations tend to grow more rapidly with return period than for longer accumulation periods. We observe similarities between the shape parameter populations for 15 min and 1 hr rainfall accumulations, suggesting that hourly records may be used to improve shape parameter estimates for extreme sub‐hourly rainfall in GB. Sub‐hourly QC moderates unrealistically large return level estimates for short‐duration rainfall, with beneficial impacts on data required for the design of urban drainage infrastructure and the validation of high‐resolution climate models.
Modeling and Optimization of Concrete Compressive Strength Produced by Replacing Natural Aggregate with Recycled Coarse and Recycled Asphalt Pavement Aggregates

The modeling and optimization of concrete compressive strength produced by replacing natural aggregate (NA) with recycled coarse aggregate (RCA) and recycled asphalt pavement (RAP) aggregates was investigated. The materials used were cement, water, fine aggregate, and coarse aggregate (NA, RCA, and RAP). The RCA and RAP replaced NA at 20, 40, 60, 80, and 100% separately, and in combination, with a total of two hundred and forty (240) cubes cast, while the concrete compressive strength was determined after curing by complete immersion in water at 3, 7, 14, 21, and 28 days. The modeling and optimization was done with the aid of design expert (version 13) software, while the Analysis of Variance (ANOVA) was done using SPSS (Statistical Package for Social Sciences) version 23 and adopting the Least Square Difference (LSD) method. Results from the findings showed that the optimum 28 days concrete compressive strength are concrete produced with 20%RAP, 40%(20%RAP +20%RCA), 60%(30%RAP + 30%RCA), and 80%(40%RAP + 40%RCA) replacements which are not significantly different from the control concrete, however, 40%(20%RAP +20%RCA) and 80%(40%RAP + 40%RCA) concrete had compressive strength higher than the control concrete. Also, the 3, 7, 21, and 28 days compressive strength can be predicted with quadratic model, while the 14 days strength can be predicted with 2-Factor Interaction (2FI) model. The optimization result showed that by replacing natural aggregate with 10.0% RAP and 50.0% RCA, the 28 days compressive strength of the concrete was 33.74N/mm2.
IMPLEMENTATION OF PROMOTIONAL MIX TO INCREASE THE NUMBER OF CUSTOMERS AND HOME BUSINESS INCOME DURING PANDEMIC COVID 19

This research is inspired by the increasing number of creative actions carried out by homebusiness people who have to maintain their business income during the pandemic. Thiscreativity appears, to increase the number of customers in order to increase home businessincome. Finally, some home businesses develop their business by promoting their productsthrough online media, such as social media, collaboration with online distributors, givingdiscount, or promotion through WAG. This study aims to analyze the effect of implementing apromotional mix on increasing the number of customers and home business income during thepandemic. This research applies quantitative research. The respondents are 35 home businessesspread over 3 (three) Regencies. The data collection technique used a questionnaire sent viagoogleform. Data analysis using Path Analysis with SPSS ver. 22.00. The sampling techniqueusing random sampling with exogenous variables is the promotional mix implementation (X);exogenous variable is income (Y); and the intervening variable is the number of customers (Z). The results of the study conclude that (1) the variable of the promotional mix implementationhas a significant effect on increasing the number of customers as evidenced by the value of sig.0.000; and the value of 0.447; (2) the variable number of customers has a significant effect onrevenue as evidenced by the value of sig. 0.000; and the value of 0.545; (3) the implementationvariable of the promotional mix has no significant effect on revenue as evidenced by the valueof sig. 0.433. Keywords: Promotional Mix; Number of customers; Income
Seasonal Malaria Chemoprevention Implementation: Effect on Malaria Incidence and Immunity in a Context of Expansion of P. falciparum Resistant Genotypes with Potential Reduction of the Effectiveness in Sub-Saharan Africa

Abstract Seasonal Malaria Chemoprevention (SMC), which combines amodiaquine (AQ) with sulfadoxine-pyrimethamine (SP), is an effective and promising strategy, recommended by WHO, for controlling malaria morbidity and mortality in areas of intense seasonal transmission. Despite the effectiveness of this strategy, a number of controversies regarding the impact of the development of malaria-specific immunity and challenges of the strategy in the context of increasing and expanding antimalarial drugs resistance but also the limited coverage of the SMC in children make the relevance of the SMC questionable, especially in view of the financial and logistical investments. Indeed, the number of malaria cases in the target group, children under 5 years old, has increased while the implementation of SMC is been extended in several African countries. This ambivalence of the SMC strategy, the increase in the prevalence of malaria cases suggests the need to evaluate the SMC and understand some of the factors that may hinder the success of this strategy in the implementation areas. The present review discusses the impact of the SMC on malaria morbidity, parasite resistance to antimalarial drugs, molecular and the immunity affecting the incidence of malaria in children. This approach will contribute to improving the malaria control strategy in highly seasonal transmission areas where the SMC is implemented.
Clinical efficacy and neurobiological correlates of electroconvulsive therapy in patients with clozapine-resistant/intolerant schizophrenia: study protocol of multi-site parallel arm double-blind randomized sham-controlled study [version 1; peer review: awaiting peer review]

Background: A substantial proportion of patients with treatment resistant schizophrenia do not respond Methods: One hundred consenting schizophrenia patients with resistance/intolerance to clozapine referred by clinicians for ECT would be randomly assigned to receive true ECT or sham ECT at three study centers. Sham ECT would mimic all the procedures of modified ECT including anaesthesia and muscle relaxation, except the electrical stimulation. After a blinded course, non-responders to sham ECT would be offered open-label true ECT. Clinical assessments, neurocognitive assessments and multimodal investigations (magnetic resonance imaging [MRI], electroencephalography, heart rate variability, investigative transcranial magnetic stimulation-transcranial direct current stimulation, gene polymorphism) would be conducted at baseline and repeated after the end of the trial, as well as open-label ECT course. The trial would evaluate the improvement in positive symptoms (scale for assessment of positive symptoms) of schizophrenia as the primary outcome measure with prediction of this change by resting-state functional-MRI based brain-connectivity as the second primary objective.
Axial Fan Blade Vibration Assessment under Inlet Cross-Flow Conditions Using Laser Scanning Vibrometry

In thermal power plants equipped with air-cooled condensers (ACCs), axial cooling fans operate under the influence of ambient flow fields. Under inlet cross-flow conditions, the resultant asymmetric flow field is known to introduce additional harmonic forces to the fan blades. This effect has previously only been studied numerically or by using blade-mounted strain gauges. For this study, laser scanning vibrometry (LSV) was used to assess fan blade vibration under inlet cross-flow conditions in an adapted fan test rig inside a wind tunnel test section. Two co-rotating laser beams scanned a low-pressure axial fan, resulting in spectral, phase-resolved surface vibration patterns of the fan blades. Two distinct operating points with flow coefficients of 0.17 and 0.28 were examined, with and without inlet cross-flow influence. While almost identical fan vibration patterns were found for both reference operating points, the overall blade vibration increased by 100% at the low fan flow rate as a result of cross-flow, and by 20% at the high fan flow rate. While numerically predicted natural frequency modes could be confirmed from experimental data as minor peaks in the vibration amplitude spectrum, they were not excited significantly by cross-flow. Instead, primarily higher rotation-rate harmonics were amplified; that is, a synchronous blade-tip flapping was strongly excited at the blade-pass frequency.