Miracle-dz/UniFAR-FTUs huggingface dataset:
A construction of multivariable MRACS with fixed compensator using coprime factorization approach

A multivariable model reference adaptive control system (MRACS) with a fixed compensator is proposed. First, a new two-degree-of-freedom (2DOF) compensator with disturbance estimator is derived. Using this structure, a multivariable MRACS with fixed compensator is constructed. Since the proposed method is based on the 2 DOF structure, the fixed compensator is chosen independently of specifications for reference commands. The boundedness of all signals in the closed-loop system and the convergence of the output error are proved. A design method of the fixed compensator for MRACS with low sensitivity is also given. Finally, numerical examples are illustrated in order to show the effectiveness of the proposed method. <<ETX>>
Development and characterization of a wire-plate air bubbling plasma for wastewater treatment using nanosecond pulsed high voltage

This study developed a prototype of a wire-plate air bubbling plasma reactor that can be easily scaled up for wastewater treatment. The electrical characteristics, including the discharge current and average power consumed, of the developed reactor were deeply investigated at different operating parameters and solution conductivities. The performance of the reactor was examined on the basis of energy efficiency and methylene blue (MB) decoloration efficiency. Moreover, the removal of the total organic carbon and the changes of the physicochemical properties of solution, including pH, conductivity, and temperature, were evaluated. The analysis of current discharge and average power consumed showed that the discharge mode in the present reactor is a filamentary streamer. Interestingly, the solution conductivity had no effect on the average power consumed at low applied voltages, due to confinement of the discharge in a small area surrounding the discharge electrode in the gas phase. However, at relatively high voltages, the effect of conductivity on the average power consumed was noticeable, yet it had no effect on the decoloration efficiency at the same average power. The present reactor showed a high energy-efficiency value of 42 g/kWh at 50% decoloration of 30 mg/l MB solution, but it dropped to 14 g/kWh at 97% decoloration. A first-order kinetics model described well the decoloration reaction rates and the overall rate constant correlated linearly to the average power.This study developed a prototype of a wire-plate air bubbling plasma reactor that can be easily scaled up for wastewater treatment. The electrical characteristics, including the discharge current and average power consumed, of the developed reactor were deeply investigated at different operating parameters and solution conductivities. The performance of the reactor was examined on the basis of energy efficiency and methylene blue (MB) decoloration efficiency. Moreover, the removal of the total organic carbon and the changes of the physicochemical properties of solution, including pH, conductivity, and temperature, were evaluated. The analysis of current discharge and average power consumed showed that the discharge mode in the present reactor is a filamentary streamer. Interestingly, the solution conductivity had no effect on the average power consumed at low applied voltages, due to confinement of the discharge in a small area surrounding the discharge electrode in the gas phase. However, at relatively h.
Identity change in the educational context: A longitudinal study of upper-secondary school students

In the article we present the results of a study devoted to identity changes in late adolescence. The participants were students of three types of upper-secondary schools: basic vocational schools, technical upper-secondary schools, and general upper-secondary schools. Measurement was performed five times, in three consecutive years: 2012/2013, 2013/2014, and 2014/2015. The first measurement was carried out in the first semester of the first grade (students’ mean age: 16 years; n = 310), and the fifth measurement was performed during the first semester of the third grade (students’ mean age: 18 years). The number of students who took part in all five measurements was 118 (38% of the initial sample of n = 310). The instrument we used was the Dimensions of Identity Development Scale (DIDS/PL; Brzezinska & Piotrowski, 2010; Luyckx, Schwartz, Berzonsky et al., 2008). In the group of general upper-secondary school students, we observed an increase in adaptive exploration (in breadth and in depth) as well as an increase in the strength of commitments over the 2.5 years of schooling. Among students of vocational schools, especially basic vocational schools, we observed regressive changes, such as a decrease in adaptive exploration, a decrease in commitments, an increase in the experienced difficulties with identity formation (an increase in ruminative exploration). The results confirmed that different educational paths may involve differences in terms of the changes taking place in students’ identity in the period of adolescence.
Ventricular and Atrial Pressure-Volume Loops: Analysis of the Effects Induced by Right Centrifugal Pump Assistance

Background and Objective: The main indications for right ventricular assist device (RVAD) support are right heart failure after implantation of a left ventricular assist device (LVAD) or early graft failure following heart transplantation. About 30-40% of patients will need RVAD support after LVAD implantation. Pulmonary hypertension is also an indication for right heart assistance. Several types of RVAD generating pulsatile or continuous flow are available on the market. These assist devices can be connected to the cardiovascular system in different ways. We sought to analyse the effects induced by different RVAD connections when right ventricular elastance is modified using a numerical simulator. The analysis was based on the behaviour of both left and right ventricular and atrial loops in the pressure-volume plane. Methods: New modules of the cardiovascular network and a right ventricular centrifugal pump were implemented in CARDIOSIM software simulator platform. The numerical pump model generated continuous flow when connected in series or parallel to the right ventricle. When the RVAD was connected in series (parallel), the pump removed blood from the right ventricle (atrium) and ejected it into the pulmonary artery. In our study, we analysed the effects induced by RVAD support on left/right ventricular/atrial loops when right ventricular elastance slope (EesRIGHT) changed from 0.3 to 0.8 mmHg/ml with the pump connected either in series or parallel. The effect of low and high rotational pump speed was also addressed. Results: Percentage changes up to 60% were observed for left ventricular pressure-volume area and external work during in-parallel RVAD support at 4000 rpm with EesRIGHT = 0.3mmHg/ml. The same pump setting and connection type led to percentage variation up to 20% for left ventricular ESV and up to 25% for left ventricular EDV with EesRIGHT = 0.3mmHg/ml. Again the same pump setting and connection generated up to 50% change in left atrial pressure-volume loop area (PVLAL-A ) and only 3% change in right atrial pressure-volume loop area (PVLAR-A) when EesRIGHT = 0.3mmHg/ml. Percentage variation was lower when EesRIGHT was increased up to 0.8 mmHg/ml. Conclusion: Early recognition of right ventricular failure followed by aggressive treatment is desirable to achieve a more favourable outcome. RVAD support remains an option for advanced right ventricular failure although onset of major adverse events may preclude its use.
Persistently learning: How small-world network imprints affect subsequent firm learning

We integrate and extend organizational imprinting and organizational learning theories in a study of how firms’ small-world networks at founding have enduring effects on firm learning. We show that firms embedded in networks having denser clustering and shorter path lengths at founding are subsequently more inclined toward exploratory learning. We also demonstrate that subsequent network positions (closeness centrality and structural holes) strengthen the initial small world network imprinting effect. Results based on a sample of US venture capital firms from 1995 to 2003 largely support our hypotheses. Contributions to imprinting theory, the organizational learning literature, and inter-firm network studies are discussed.
Rethinking Recommendations for Implementing Comprehensive School Physical Activity Programs: A Partnership Model

Recommended approaches to promoting children’s physical activity through schools call for physical education teachers to serve as champions for, and leaders of, Comprehensive School Physical Activity Programs (CSPAPs). Little evidence, however, exists to suggest that physical education teachers are ideally prepared or supported to assume CSPAP leadership roles. The purpose of this article is to consider expectations that must be met for physical education teachers to serve as central protagonists in CSPAP implementation efforts, and to propose a conceptual model aimed at increasing both effectiveness and sustainability of CSPAPs through key external-internal partnerships. Specifically, community-based participatory research, communities of practice, and service-learning are presented as possible strategies to expand the support system for growing and sustaining CSPAPs. In sum, this article offers some reasons for rethinking current recommendations for CSPAP implementation.
Dampened Inflammatory Signalling and Myeloid-Derived Suppressor-Like Cell Accumulation Reduces Circulating Monocytic HLA-DR Density and May Associate With Malignancy Risk in Long-Term Renal Transplant Recipients

Background Malignancy is a major cause of morbidity and mortality in transplant recipients. Identification of those at highest risk could facilitate pre-emptive intervention such as reduction of immunosuppression. Reduced circulating monocytic HLA-DR density is a marker of immune depression in the general population and associates with poorer outcome in critical illness. It has recently been used as a safety marker in adoptive cell therapy trials in renal transplantation. Despite its potential as a marker of dampened immune responses, factors that impact upon monocytic HLA-DR density and the long-term clinical sequelae of this have not been assessed in transplant recipients. Methods A cohort study of stable long-term renal transplant recipients was undertaken. Serial circulating monocytic HLA-DR density and other leucocyte populations were quantified by flow cytometry. Gene expression of monocytes was performed using the Nanostring nCounter platform, and 13-plex cytokine bead array used to quantify serum concentrations. The primary outcome was malignancy development during one-year follow-up. Risk of malignancy was calculated by univariate and multivariate proportionate hazards modelling with and without adjustment for competing risks. Results Monocytic HLA-DR density was stable in long-term renal transplant recipients (n=135) and similar to non-immunosuppressed controls (n=29), though was suppressed in recipients receiving prednisolone. Decreased mHLA-DRd was associated with accumulation of CD14+CD11b+CD33+HLA-DRlo monocytic myeloid-derived suppressor-like cells. Pathway analysis revealed downregulation of pathways relating to cytokine and chemokine signalling in monocytes with low HLA-DR density; however serum concentrations of major cytokines did not differ between these groups. There was an independent increase in malignancy risk during follow-up with decreased HLA-DR density. Conclusions Dampened chemokine and cytokine signalling drives a stable reduction in monocytic HLA-DR density in long-term transplant recipients and associates with subsequent malignancy risk. This may function as a novel marker of excess immunosuppression. Further study is needed to understand the mechanism behind this association.
The efficacy, safety and immunogenicity Nanocovax: results of a randomized, double-blind, placebo-controlled Phase 3 trial.

Background Nanocovax is a recombinant severe acute respiratory syndrome coronavirus 2 subunit vaccine composed of full-length prefusion stabilized recombinant SARS-CoV-2 spike glycoproteins (S-2P) and aluminum hydroxide adjuvant. In a Phase 1 and 2 studies, (NCT04683484) the vaccine was found to be safe and induce a robust immune response in healthy adult participants. Methods We conducted a multicenter, randomized, double-blind, placebo-controlled study to evaluate the safety, immunogenicity, and protective efficacy of the Nanocovax vaccine against Covid-19 in approximately 13,007 volunteers aged 18 years and over. The immunogenicity was assessed based on Anti-S IgG antibody response, surrogate virus neutralization, wild-type SARS-CoV-2 neutralization and the types of helper T-cell response by intracellular staining (ICS) for interferon gamma (IFNg) and interleukin-4 (IL-4). The vaccine efficacy (VE) was calculated basing on serologically confirmed cases of Covid-19. Findings Up to day 180, incidences of solicited and unsolicited adverse events (AE) were similar between vaccine and placebo groups. 100 serious adverse events (SAE) were observed in both vaccine and placebo groups (out of total 13007 participants). 96 out of these 100 SAEs were determined to be unrelated to the investigational products. 4 SAEs were possibly related, as determined by the Data and Safety Monitoring Board (DSMB) and investigators. Reactogenicity was absent or mild in the majority of participants and of short duration. These findings highlight the excellent safety profile of Nanocovax. Regarding immunogenicity, Nanocovax induced robust IgG and neutralizing antibody responses. Importantly, Anti S-IgG levels and neutralizing antibody titers on day 42 were higher than those of natural infected cases. Nanocovax was found to induce Th2 polarization rather than Th1. Post-hoc analysis showed that the VE against symptomatic disease was 51.5% (95% confidence interval [CI] was [34.4%-64.1%]. VE against severe illness and death were 93.3% [62.2- 98.1]. Notably, the dominant strain during the period of this study was Delta variant. Interpretation Nanocovax 25 microgram (mcg) was found to be safe with the efficacy against symptomatic infection of Delta variant of 51.5%.
Regret and Belief Complexity Trade-off in Gaussian Process Bandits via Information Thresholding

Bayesian optimization is a framework for global search via maximum a posteriori updates rather than simulated annealing, and has gained prominence for decision-making under uncertainty. In this work, we cast Bayesian optimization as a multi-armed bandit problem, where the payoff function is sampled from a Gaussian process (GP). Further, we focus on action selections via upper confidence bound (UCB) or expected improvement (EI) due to their prevalent use in practice. Prior works using GPs for bandits cannot allow the iteration horizon $T$ to be large, as the complexity of computing the posterior parameters scales cubically with the number of past observations. To circumvent this computational burden, we propose a simple statistical test: only incorporate an action into the GP posterior when its conditional entropy exceeds an $\epsilon$ threshold. Doing so permits us to precisely characterize the trade-off between regret bounds of GP bandit algorithms and complexity of the posterior distributions depending on the compression parameter $\epsilon$ for both discrete and continuous action sets. To best of our knowledge, this is the first result which allows us to obtain sublinear regret bounds while still maintaining sublinear growth rate of the complexity of the posterior which is linear in the existing literature. Moreover, a provably finite bound on the complexity could be achieved but the algorithm would result in $\epsilon$-regret which means $\textbf{Reg}_T/T \rightarrow \mathcal{O}(\epsilon)$ as $T\rightarrow \infty$. Experimentally, we observe state of the art accuracy and complexity trade-offs for GP bandit algorithms applied to global optimization, suggesting the merits of compressed GPs in bandit settings.
Improving the Behaviour of Vision Transformers with Token-Consistent Stochastic Layers

We introduce token-consistent stochastic layers in vision transformers, without causing any severe drop in performance. The added stochasticity improves network calibration, robustness and strengthens privacy. We use linear layers with token-consistent stochastic parameters inside the multilayer perceptron blocks, without altering the architecture of the transformer. The stochastic parameters are sampled from the uniform distribution, both during training and inference. The applied linear operations preserve the topological structure, formed by the set of tokens passing through the shared multilayer perceptron. This operation encourages the learning of the recognition task to rely on the topological structures of the tokens, instead of their values, which in turn offers the desired robustness and privacy of the visual features. The effectiveness of the token-consistent stochasticity is demonstrated on three different applications, namely, network calibration, adversarial robustness, and feature privacy, by boosting the performance of the respective established baselines.
Relationships between Tropical Cyclone Intensity and Satellite-Based Indicators of Inner Core Convection: 85-GHz Ice-Scattering Signature and Lightning

Abstract A key component in the maintenance and intensification of tropical cyclones is the transverse circulation, which transports mass and momentum and provides latent heat release via inner core convective updrafts. This study examines these updrafts indirectly, using satellite-borne observations of the scattering of upwelling microwave radiation by precipitation-sized ice particles and satellite-borne observations of lightning. The observations are then compared to tropical cyclone intensity (defined here as maximum sustained wind speed) and the resulting relationships are assessed. Substantial updrafts produce large ice particles aloft, which in turn produce microwave ice-scattering signatures. The large ice, together with supercooled liquid water also generated by substantial updrafts, is a necessary ingredient in charge separation, which leads to lightning. Various parameters derived from the inner core ice-scattering signature are computed for regions encircling hurricanes and typhoons, and obser.
TRIANGULATING MEASURES OF AWARENESS

Williams’s (2005) study on “learning without awareness” and three subsequent extensions (Faretta-Stutenberg & Morgan-Short, 2011; Hama & Leow, 2010; Rebuschat, Hamrick, Sachs, Riestenberg, & Ziegler, 2013) have reported conflicting results, perhaps in part due to differences in how awareness has been measured. The present extension of Williams (2005) addresses this possibility directly by triangulating data from three awareness measures: concurrent verbal reports (think-aloud protocols), retrospective verbal reports (postexposure interviews), and subjective measures (confidence ratings and source attributions). Participants were exposed to an artificial determiner system under incidental learning conditions. One experimental group thought aloud during training, another thought aloud during training and testing, and a third remained silent, as did a trained control group. All participants were then tested by means of a forced-choice task to establish whether learning took place. In addition, all participants provided confidence ratings and source attributions on test items and were interviewed following the test. Our results indicate that, although all experimental groups displayed learning effects, only the silent group was able to generalize the acquired knowledge to novel instances. Comparisons of concurrent and retrospective verbal report data shed light on the conflicting findings previously reported in the literature and highlight important methodological issues in implicit and explicit learning research.
Development of a 50-Year High-Resolution Global Dataset of Meteorological Forcings for Land Surface Modeling

Abstract Understanding the variability of the terrestrial hydrologic cycle is central to determining the potential for extreme events and susceptibility to future change. In the absence of long-term, large-scale observations of the components of the hydrologic cycle, modeling can provide consistent fields of land surface fluxes and states. This paper describes the creation of a global, 50-yr, 3-hourly, 1.0° dataset of meteorological forcings that can be used to drive models of land surface hydrology. The dataset is constructed by combining a suite of global observation-based datasets with the National Centers for Environmental Prediction–National Center for Atmospheric Research (NCEP–NCAR) reanalysis. Known biases in the reanalysis precipitation and near-surface meteorology have been shown to exert an erroneous effect on modeled land surface water and energy budgets and are thus corrected using observation-based datasets of precipitation, air temperature, and radiation. Corrections are also made to the ra.
Measuring the Scatter of the Mass–Richness Relation in Galaxy Clusters in Photometric Imaging Surveys by Means of Their Correlation Function

Knowledge of the scatter in the mass-observable relation is a key ingredient for a cosmological analysis based on galaxy clusters in a photometric survey. In this paper we aim to quantify the capability of the correlation function of galaxy clusters to constrain the intrinsic scatter . We demonstrate how the linear bias measured in the correlation function of clusters can be used to determine the value of this parameter. The new method is tested in simulations of a optical survey up to , similar to the ongoing Dark Energy Survey (DES). Our results show that our method works better at lower scatter values. We can measure the intrinsic scatter with a standard deviation of using this technique. However, the expected intrinsic scatter of the DES RedMaPPer cluster catalog cannot be recovered with this method at suitable accuracy and precision because the area coverage is insufficient. For future photometric surveys with a larger area such as LSST and Euclid, the statistical errors will be reduced. Therefore, we forecast higher precision to measure the intrinsic scatter including the value mentioned before. We conclude that this method can be used as an internal consistency check method on their simplifying assumptions and complementary to cross-calibration techniques in multiwavelength cluster observations.
Promoting Generative Learning with Elaboration Training in Computer-Based Instruction.

Relative effects on adult learners who re,eived experimenter-provided elaborations or who generated personal elaborations, using strategies taught by means of detached versus embedded training, were examined in 80 employees in a professional-development course at a large corporation. Subjects were assigned to a control group, a group receiving experimenter-provided elaborations, and groups receiving training to produce learner-generated detached or embedded elaborations. Recall, recognition, and application of the lesson content (professional-development topics) were measured in a posttest. Subjects generating elaborations surpassed control-group subjects on three or four comparisons. However, there were no significant advantages for either learner-generated-elaborations group versus the experimenter-generated-elaborations group. It may be that the level of generative processing achieved in the experimenter-generated category was sufficient to produce elaborations that function similarly to learner-generated elaborations. Contrary to the hypothesis, the embedded-training group did not demonstrate higher achievement than did the detached-training group. One table summarizes means and standard deviations. (Contains 29 references.)