Miracle-dz/UniFAR-FTUs huggingface dataset:
Using the inquiry-based learning approach to enhance student innovativeness: a conceptual model

ABSTRACT Individual innovativeness has become one of the most important employability skills for university graduates. In this paper, we focus on how students could be better prepared to be innovative in the workplace, and we argue that inquiry-based learning (IBL) – a pedagogical approach in which students follow the inquiry-based processes used by scientists to construct knowledge – can be effective for this purpose. Drawing on research which examines the social and cognitive micro-foundations of innovative behavior, we develop a conceptual model that links IBL and student innovativeness, and introduce three teacher-controlled design elements that can influence the strength of this relationship, namely whether an inquiry is open or closed, discovery-focused or information focused and individual or team-based. We argue that an open, discovery-focused and team-based inquiry offers the greatest potential for enhancing students’ skills in innovation. This paper has several implications for higher education research and practice.
Protoquasars: Physical States and Observable Properties

Based on the radiation hydrodynamic model for black hole (BH) growth and incorporating the chemical evolution of the early-type host galaxy, we construct the coevolution model of the quasar (QSO) BH and host galaxy. As a result, it is found that after a galactic wind epoch, the luminosity is shifted from the host-dominant phase to the active galactic nucleus-dominant phase (QSO phase) in the timescale of a few 108 yr. The former phase corresponds to the early stage of a growing BH and can be regarded as a "proto-QSO" phase. It has observable characteristic properties as follows: (1) The broad emission lines are narrower than those of ordinary QSOs and are typically less than 1500 km s-1. (2) The BH-to-bulge mass ratio, MBH/Mbulge, is in the range of 10-5.3 to 10-3.9. (3) Host galaxies are bluer than QSO hosts, by about 0.5 mag in the colors B-V at the rest bands and V-K at the observed bands, with assumed galaxy formation redshifts of zf = 3-5. (4) The metallicity of gas in the galactic nuclei is ~8 Z☉ and that of stars weighted by the host luminosity is ~3 Z☉. (5) The central massive BH (≃107 M☉) is surrounded by a massive dusty disk (>108 M☉), which may obscure the nucleus in the edge-on view and make a type 2 nucleus. By comparing these predictions with recent observations, radio galaxies are a possible candidate for proto-QSOs. Also, it is anticipated that the proto-QSO phase is preceded by an optically thick phase, which may correspond to ultraluminous infrared galaxies (ULIRGs). In this phase, MBH/Mbulge is predicted to be much less than 10-3 and to grow with metallicity. Moreover, as precursors of ULIRGs, optically thin star-forming galaxies are predicted. These may be in the assembly phase of Lyman break galaxies (LBGs) or Lyα emitters.
A Comparison Study on Meta-Heuristics for Ground Station Scheduling Problem

In ground station scheduling problem the aim is to compute an optimal planning of communications between Spacecrafts (SCs) and operations teams of Ground Stations (GSs). While such allocation of tasks to ground stations traditionally is mostly done by human intervention, modern scheduling systems look at optimization and automation features. Such features, on the one hand, would increase the efficiency and productivity of the mission planning systems by handling a larger number of missions, achieve a higher usage of the infrastructure (grand stations' antennae) and, on the other, would avoid error-prone human allocation and reduce human labour costs. Designing such modern, automated scheduling/planning systems is however challenging due to the highly constraint and complex nature of the problem seeking to optimize along various objectives or system parameters. In this paper we present a study on the performance of several meta-heuristics methods for solving ground station scheduling problem. Local search methods (Hill Climbing, Simulated Annealing and Tabu Search) and population-based methods (GA, Steady State GA and Struggle GA) have been considered for the study. The performance of these resolution methods was measured by a set of instances of varying size and complexity generated by STK toolkit. The study revealed the strengths and weaknesses of the considered methods while solving different size instances and considering several objective functions, namely, windows fitness, clashes fitness, time requirement fitness, and resource usage fitness.
Groups of galaxies in AEGIS: the 200-ks Chandra extended X-ray source catalogue

We present the discovery of seven X-ray emitting groups of galaxies selected as extended X-ray sources in the 200-ks Chandra coverage of the All-wavelength Extended Groth Strip International Survey (AEGIS). In addition, we report on active galactic nucleus (AGN) activity associated with these systems. For the six extended sources which lie within the Deep Extragalactic Evolutionary Probe 2 (DEEP2) Galaxy Redshift Survey coverage, we identify optical counterparts and determine velocity dispersions. In particular, we find three massive high-redshift groups at z > 0.7, one of which is at z = 1.13, the first X-ray detections of spectroscopically selected DEEP2 groups. We also present a first look at the L x -T, L X -σ and σ-T scaling relations for high-redshift massive groups. We find that the properties of these X-ray selected systems agree well with the scaling relations of similar systems at low redshift, although there are X-ray undetected groups in the DEEP2 catalogue with similar velocity dispersions. The other three X-ray groups with identified redshifts are associated with lower mass groups at z ~ 0.07 and together form part of a large structure or 'supergroup' in the southern portion of the AEGIS field. Similar to other X-ray-luminous groups, all of the low-redshift systems are centred on massive elliptical galaxies, and all of the high-redshift groups have likely central galaxies or galaxy pairs. Interestingly, the central galaxies in the highest redshift system show indications of ongoing star formation. All of the central group galaxies host X-ray point sources, radio sources and/or show optical AGN emission. Particularly interesting examples of central AGN activity include a bent-double radio source plus X-ray point source at the centre of a group at z = 0.74, extended radio and double X-ray point sources associated with the central galaxy in the lowest redshift group at z = 0.066, and a bright green valley galaxy (part of a pair) in the z = 1.13 group which shows optical AGN emission lines.
Scaffolding Networks for Teaching and Learning to Comprehend

In scaffolding teaching, students are gradually asked questions to build background knowledge, clear up confusions, learn to be attentive, and improve comprehension. Inspired by this approach, we explore methods for teaching machines to learn to reason over text documents through asking questions about the past information. We address three key challenges in teaching and learning to reason: 1) the need for an effective architecture that learns from the information in text and keeps it in memory; 2) the difficulty of self-assessing what is learned at any given point and what is left to be learned; 3) the difficulty of teaching reasoning in a scalable way. To address the first challenge, we present the Scaffolding Network, an attention-based neural network agent that can reason over a dynamic memory. It learns a policy using reinforcement learning to incrementally register new information about concepts and their relations. For the second challenge, we describe a question simulator as part of the scaffolding network that learns to continuously question the agent about the information processed so far. Through questioning, the agent learns to correctly answer as many questions as possible. For the last challenge, we explore training with reduced annotated data. We evaluate on synthetic and real datasets, demonstrating that our model competes well with the state-of-the-art methods, especially when less supervision is used.
A Comparative Modeling of Supernova 1993J

The light curve of supernova (SN) 1993J is calculated using two approaches to radiation transport as exemplified by the two computer codes, STELLA and EDDINGTON. Particular attention is paid to shock breakout and the photometry in the U, B, and V bands during the first 120 days. The hydrodynamical model, the explosion of a 13 M☉ star that has lost most of its hydrogenic envelope to a companion, is the same in each calculation. The comparison elucidates differences between the approaches and also serves to validate the results of both. STELLA includes implicit hydrodynamics and is able to model supernova evolution at early times, before the expansion is homologous. STELLA also employs multigroup photonics and is able to follow the radiation as it decouples from the matter. EDDINGTON uses a different algorithm for integrating the transport equation, assumes homologous expansion, and uses a finer frequency resolution. Good agreement is achieved between the two codes only when compatible physical assumptions are made about the opacity. In particular, the line opacity near the principal (second) peak of the light curve must be treated primarily as absorptive, even though the electron density is too small for collisional deexcitation to be a dominant photon destruction mechanism. Justification is given for this assumption and involves the degradation of photon energy by "line splitting," i.e., fluorescence. The fact that absorption versus scattering matters to the light curve is indicative of the fact that departures from equilibrium radiative diffusion are important. A new result for SN 1993J is a prediction of the continuum spectrum near the shock breakout (calculated by STELLA), which is superior to the results of other standard single energy group hydrocodes such as VISPHOT or TITAN. Based on the results of our independent codes, we discuss the uncertainties involved in the current time-dependent models of supernova light curves.
Pharmacotherapy of treatment-resistant combat-related posttraumatic stress disorder with psychotic features.

AIM To assess retrospectively the clinical effects of typical (fluphenazine) or atypical (olanzapine, risperidone, quetiapine) antipsychotics in three open clinical trials in male Croatian war veterans with chronic combat-related posttraumatic stress disorder (PTSD) with psychotic features, resistant to previous antidepressant treatment. METHODS Inpatients with combat-related PTSD were treated for 6 weeks with fluphenazine (n=27), olanzapine (n=28), risperidone (n=26), or quetiapine (n=53) as a monotherapy. Treatment response was assessed by the reduction in total and subscales scores in the clinical scales measuring PTSD (PTSD interview and Clinician-administered PTSD Scale) and psychotic symptoms (Positive and Negative Syndrome Scale). RESULTS After 6 weeks of treatment, monotherapy with fluphenazine, olanzapine, risperidone, or quetiapine in patients with PTSD significantly decreased the scores listed in trauma reexperiencing, avoidance, and hyperarousal subscales in the clinical scales measuring PTSD, and total and subscales scores listed in positive, negative, general psychopathology, and supplementary items of the Positive and Negative Syndrome Scale subscales, respectively (P<0.001). CONCLUSION PTSD and psychotic symptoms were significantly reduced after monotherapy with typical or atypical antipsychotics. As psychotic symptoms commonly occur in combat-related PTSD, the use of antipsychotic medication seems to offer another approach to treat a psychotic subtype of combat-related PTSD resistant to previous antidepressant treatment.
Modelling short-term variability in carbon and water exchange in a temperate Scots pine forest

Abstract. The vegetation–atmosphere carbon and water exchange at one particular site can strongly vary from year to year, and understanding this interannual variability in carbon and water exchange (IAVcw) is a critical factor in projecting future ecosystem changes. However, the mechanisms driving this IAVcw are not well understood. We used data on carbon and water fluxes from a multi-year eddy covariance study (1997–2009) in a Dutch Scots pine forest and forced a process-based ecosystem model (Lund–Potsdam–Jena General Ecosystem Simulator; LPJ-GUESS) with local data to, firstly, test whether the model can explain IAVcw and seasonal carbon and water exchange from direct environmental factors only. Initial model runs showed low correlations with estimated annual gross primary productivity (GPP) and annual actual evapotranspiration (AET), while monthly and daily fluxes showed high correlations. The model underestimated GPP and AET during winter and drought events. Secondly, we adapted the temperature inhibition function of photosynthesis to account for the observation that at this particular site, trees continue to assimilate at very low atmospheric temperatures (up to daily averages of −10 °C), resulting in a net carbon sink in winter. While we were able to improve daily and monthly simulations during winter by lowering the modelled minimum temperature threshold for photosynthesis, this did not increase explained IAVcw at the site. Thirdly, we implemented three alternative hypotheses concerning water uptake by plants in order to test which one best corresponds with the data. In particular, we analyse the effects during the 2003 heatwave. These simulations revealed a strong sensitivity of the modelled fluxes during dry and warm conditions, but no single formulation was consistently superior in reproducing the data for all timescales and the overall model–data match for IAVcw could not be improved. Most probably access to deep soil water leads to higher AET and GPP simulated during the heatwave of 2003. We conclude that photosynthesis at lower temperatures than assumed in most models can be important for winter carbon and water fluxes in pine forests. Furthermore, details of the model representations of water uptake, which are often overlooked, need further attention, and deep water access should be treated explicitly.
Infinite-dimensional Lie algebras in 4D conformal quantum field theory

The concept of global conformal invariance (GCI) opens the way of applying algebraic techniques, developed in the context of two-dimensional chiral conformal field theory, to a higher (even) dimensional spacetime. In particular, a system of GCI scalar fields of conformal dimension two gives rise to a Lie algebra of harmonic bilocal fields, VM(x, y), where the M span a finite dimensional real matrix algebra closed under transposition. The associative algebra is irreducible iff its commutant coincides with one of the three real division rings. The Lie algebra of (the modes of) the bilocal fields is in each case an infinite-dimensional Lie algebra: a central extension of corresponding to the field of reals, of u(∞, ∞) associated with the field of complex numbers, and of so*(4∞) related to the algebra of quaternions. They give rise to quantum field theory models with superselection sectors governed by the (global) gauge groups O(N), U(N) and , respectively.
Late Development of the GABAergic System in the Human Cerebral Cortex and White Matter

Despite the key role of &ggr;-aminobutyric acid (GABA) neurons in the modulation of cerebral cortical output, little is known about their development in the human cortex. We analyzed several GABAergic parameters in standardized regions of the cerebral cortex and white matter in a total of 38 human fetuses and infants from 19 gestational weeks to 2.7 postnatal years using immunocytochemistry, Western blotting, tissue autoradiography, and computer-based cellular quantitation. At least 20% of GABAergic neurons in the white matter migrated toward the cortex over late gestation. After term, migration declined and ended within 6 postnatal months. In parallel, the GABAergic neuronal density increased in the cortex over late gestation, also with a peak at term. From midgestation to infancy, the pattern of GABAA receptor binding changed from uniformly low across all cortical layers to high levels concentrated in the middle laminae; glutamic acid decarboxylase (GAD65 and GAD67) levels differentially increased. Thus, the second half of gestation is a period of rapid development of the cortical GABAergic system that continues into early infancy. This period corresponds to the peak window of vulnerability to perinatal hypoxia-ischemia in which GABAergic neurons are potentially developmentally susceptible, including in the preterm infant.
Simulations of cloud‐radiation interaction using large‐scale forcing derived from the CINDY/DYNAMO northern sounding array

The recently completed CINDY/DYNAMO field campaign observed two Madden‐Julian oscillation (MJO) events in the equatorial Indian Ocean from October to December 2011. Prior work has indicated that the moist static energy anomalies in these events grew and were sustained to a significant extent by radiative feedbacks. We present here a study of radiative fluxes and clouds in a set of cloud‐resolving simulations of these MJO events. The simulations are driven by the large‐scale forcing data set derived from the DYNAMO northern sounding array observations, and carried out in a doubly periodic domain using the Weather Research and Forecasting (WRF) model. Simulated cloud properties and radiative fluxes are compared to those derived from the S‐PolKa radar and satellite observations. To accommodate the uncertainty in simulated cloud microphysics, a number of single‐moment (1M) and double‐moment (2M) microphysical schemes in the WRF model are tested. The 1M schemes tend to underestimate radiative flux anomalies in the active phases of the MJO events, while the 2M schemes perform better, but can overestimate radiative flux anomalies. All the tested microphysics schemes exhibit biases in the shapes of the histograms of radiative fluxes and radar reflectivity. Histograms of radiative fluxes and brightness temperature indicate that radiative biases are not evenly distributed; the most significant bias occurs in rainy areas with OLR less than 150 W/m2 in the 2M schemes. Analysis of simulated radar reflectivities indicates that this radiative flux uncertainty is closely related to the simulated stratiform cloud coverage. Single‐moment schemes underestimate stratiform cloudiness by a factor of 2, whereas 2M schemes simulate much more stratiform cloud.
EGFR/KRAS/BRAF Mutations in Primary Lung Adenocarcinomas and Corresponding Locoregional Lymph Node Metastases

Purpose: The epidermal growth factor receptor (EGFR) and its downstream factors KRAS and BRAF are mutated with different frequencies in non–small cell lung cancer and mutations predict clinical response to EGFR inhibitors. The present study compared the mutational status of EGFR, KRAS, and BRAF in primary tumors with the one in corresponding lymph node metastases. Experimental Design: Direct bidirectional sequencing of EGFR gene exons 18 to 21, KRAS gene codons 12/13 and 61 to 68, and BRAF exon 15 was done on 96 paired samples of primary lung adenocarcinomas and corresponding locoregional lymph node metastases. In addition, comparative genomic hybridization analyses in two pairs of corresponding primary and metastatic tumor samples with discordant EGFR mutation status were done. Results: Mutations in EGFR, KRAS, and BRAF were observed in 7 (7%), 36 (38%), and 2 (2%) patients, respectively. Interestingly, KRAS mutations were observed in two patients with an EGFR mutation. Mutations in primary tumors and lymph node metastases were identical in 1 of 7 (14%) patients in case of EGFR and 11 of 36 (31%) patients in case of KRAS. One patient harbored different KRAS mutations in primary and corresponding metastatic tumors. Comparative genomic hybridization analysis revealed similar patterns of chromosomal changes, strongly supporting a common clonal origin of primary tumors and metastases. Conclusions: The possibility of differences in the mutational status of EGFR, KRAS, BRAF between primary tumors and corresponding lymph node metastases should be considered whenever these mutations are used for the selection of patients for EGFR-directed tyrosine kinase inhibitor therapy.
Dependency Relations among International Stock Market Indices

We develop networks of international stock market indices using information and correlation based measures. We use 83 stock market indices of a diversity of countries, as well as their single day lagged values, to probe the correlation and the flow of information from one stock index to another taking into account different operating hours. Additionally, we apply the formalism of partial correlations to build the dependency network of the data, and calculate the partial Transfer Entropy to quantify the indirect influence that indices have on one another. We find that Transfer Entropy is an effective way to quantify the flow of information between indices, and that a high degree of information flow between indices lagged by one day coincides to same day correlation between them.
The effect of using multimedia cases on prospective teachers self-efficacy belief

The study explores how the use of multimedia cases affects the science teaching self-efficacy of prospective teachers in one university in Kenya. Chemistry and physics prospective teachers (N = 42) explored questioning and lesson introduction strategies using multimedia cases filmed in Kenyan classrooms. The changes in their self-efficacy was analyzed by looking at the difference in their scores in a pre-test and a post-test on a popular science teaching efficacy beliefs instrument developed by Enochs and Riggs, (1990). The results show that the use of multimedia cases created a cognitive dissonance that led to a decrease in the personal science teaching efficacy (PSTE) and no significant change on the science teaching outcome expectancy (STOE). These findings point to the effectiveness of multimedia cases in challenging the beliefs of prospective teachers during the methods courses.
Constraints on SUSY lepton flavour violation by rare processes

We study the constraints on flavour violating terms in low energy SUSY coming from several processes as li→ljγ, li→ljljlj and μ→e in Nuclei. We show that a combined analysis of these processes allows us to extract additional information with respect to an individual analysis of all the processes. In particular, it makes possible to put bounds on sectors previously unconstrained by li→ljγ. We perform the analysis both in the mass eigenstate and in the mass insertion approximations clarifying the limit of applicability of these approximations.