Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterization facility for the MAJIS/JUICE VIS-NIR FM and SM detectors

MAJIS is part of the science payload of the ESA L-Class mission JUICE to be launched in 2022 with an arrival at Jupiter in 2030. MAJIS will perform imaging spectroscopy through two channels: VIS-NIR (0.50 µm - 2.35 µm) and IR (2.25 µm - 5.54 µm). The Royal Belgian Institute for Space Aeronomy (BIRA-IASB) and the Royal Observatory of Belgium (ROB) contribute to MAJIS with the characterization and calibration of the VIS-NIR Flight Model (FM) and Spare Model (SM) detectors, including the design, development, and validation of the setup, as well as the data processing pipeline. The FM and SM detectors are characterized under different illumination conditions (along four decades of dynamical range), temperature (125 K - 144 K), beam uniformities, exposure times, and/or data acquisition rates. In this paper, we describe the optical performances of the facility, which can be configurable for dark conditions, uniform light beam, and convergent beam with same focal ratio as MAJIS convergence optics. We provide a relative radiometry scale for the typical characterization measurements, as well as a fully characterized flux that will allow us to perform characterization measurements in an absolute radiometry scale, such as quantum efficiency (QE). In addition, we describe the thermal performances provided by the bench reaching different temperature scenarios, including the expected operating temperature of the detector at 132 K. The characterization facility was completed and subjected to validation tests in early 2020. The MAJIS VIS-NIR FM detector was delivered for its complete characterization in June 2020.
Detection of Gadolinium in Surrogate Nuclear Fuel Debris Using Fiber-Optic Laser-Induced Breakdown Spectroscopy under Gamma Irradiation

Fiber-optic laser-induced breakdown spectroscopy (FO-LIBS) was applied to a qualitative and quantitative analysis of gadolinium (Gd) in mixed oxide samples, simulating nuclear fuel debris in the damaged reactors of the Fukushima Daiichi Nuclear Power Station. The surrogate debris was prepared from mixed oxide materials containing Gd2O3, with varying Gd concentrations. The emission spectra of the surrogate debris show that the optical emission lines at 501.5 nm and 510.3 nm are suitable for Gd detection in the nuclear fuel debris. LIBS measurements were further performed under gamma irradiation (0–10 kGy/h), resulting in a decrease in spectral intensities due to radiation-induced damage to the optical fiber. For quantification of Gd, robust calibration curves against gamma irradiation were established from the intensity ratio of Gd (501.5 nm)/Ce (474.5 nm) emission lines, yielding the limits of detection for Gd in the range of 0.03–0.08 wt%. These results demonstrate that FO-LIBS is a potential tool for in situ and remote analysis of nuclear fuel debris.
Stress, virial, and pressure in the theory of atoms in molecules

The quantum theory of stress is developed within the atoms in molecules (AIM) framework. The complete local stress field is introduced and integrated within atomic basins, and it is shown that the kinetic term gives rise to the atomic virial theorem. The role of the potential part of the stress field in the AIM theory is discussed, and its necessary consideration in order to define atomic pressures presented. These atomic pressures are shown to tend to the thermodynamic limit as the size of the system grows. A link between the AIM theory and the theory of electronic separability has also been found. A set of simple examples illustrates our results.
Documentation automation for the verification and validation of Rubin Observatory software

The Data Management (DM) subsystem of the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) is responsible for creating the software, services, and systems that will be used to produce science ready data products. The software, currently under development, is heterogeneous, comprising both C++ and Python components, and is designed to facilitate both the processing of the observatory images and to enable value-added contributions from the broader scientific community. Verification and validation of these software products, services, and systems is an essential yet time-consuming task. In this paper, we present the tooling and procedures developed to ensure a systematic approach to the production of documentation for verification and validation. By adopting a systematic approach, we guarantee full traceability to system requirements, integration with the project’s Systems Engineering model, and substantially reduce the time required for the whole process.
Successful second language pronunciation learning is linked to domain-general auditory processing rather than music aptitude

Whereas a growing amount of attention has been directed to the role of perceptual-cognitive aptitude in successful second language (L2) lexicogrammar learning, scholars have begun to investigate the same topic in the context of L2 pronunciation learning. To date, there is ongoing discussion on the mechanism underlying L2 speech learning in relation to music aptitude and domain-general auditory processing ability. Situated within 48 moderately experienced Chinese learners of English in the UK (length of residence = one year), the current study examined the relationship between music aptitude, auditory perception, and L2 pronunciation proficiency. Results revealed that music aptitude and auditory processing were partially overlapping, whereas both abilities were independent of participants’ past and current L2 language learning experience. Whereas individual differences in auditory processing demonstrated significant associations with various dimensions of L2 pronunciation proficiency, music aptitude was only weakly predictive of prosodic aspects of L2 pronunciation proficiency. Comparatively, none of the experience variables were related to acquisition within the current dataset.
Cellulosic Fillers Extracted from Argyreia Speciose Waste: A Potential Reinforcement for Composites to Enhance Properties

ABSTRACT The growing world population and urge of the improved living standard has increased the demand of materials leading to higher post-consumer waste. This paper investigates the potential of using plant waste (yard cutting) as reinforcement for composite materials, which is either landfilled or burnt. The yard cutting of a creeper plant, Argyreia speciose (local name Tezgam) plant was used for fiber extraction, by water retting. The extracted fibers were treated with an alkali solution and then converted to powder (particle) form by ball milling. The particles obtained, after milling, were used as a reinforcement to fabricate composite material along with jute fabric obtained from waste packing bags. The mechanical properties (tensile, flexural, and impact) of these waste material hybrid composites were investigated. It was found that the filler reinforced composites exhibited higher strength as compared to the others. The addition of fillers also enhanced the modulus of the material, both in tensile and 3-point bending mode. These fillers loaded composites were also able to withstand the maximum force for a longer period during the drop weight impact test. Hence, agricultural waste can be effectively used to develop a value-added product with enhanced performance properties.
Lessons from a review of physiotherapy and psychological rehabilitation received during ICU stay and beyond to inform the development of an ICU follow clinic

Background Critical illness can have a long-term impact. A service evaluation was conducted in a hospital in the south west of Britain with an adult inter-connected general, surgical and neurological intensive care unit (ICU). The aim of the service evaluation was to generate knowledge on experiences of psychological and physical rehabilitation in intensive care, on other hospital wards and at home to inform the development of an Intensive Care follow up clinic. Method Data was collected from two sources. A week of ICU discharges was randomly selected, and a sample of 30 patients generated. All were sent information sheets and consent forms and offered telephone appointments. 12 participants took part in telephone interviews. The second source of participants was the ICU Expert by Experience group. Informed consent was gained with eight participants taking part. The data was analysed using thematic analysis, employing initial open coding to build a framework of emergent themes. A research group was formed to facilitate cross coding of extracts. Results The analysis identified three overarching themes: sense making difficulties; rehabilitation context; and sense of self. The theme of sense making difficulties had sub-themes of memory gaps, delirium, lack of information and anxiety. The theme of rehabilitation context had sub-themes of ICU environment, transitions, isolation and abandonment and valued support. Conclusion the process of sense making can be difficult, is filtered through contextual factors, and may influence sense of self. The results have been used to inform the development of an ICU follow up clinic.
Biofilm Formation by Clinical Acinetobacter baumannii strains and its effect on antibiotic resistance

Acinetobacter baumannii is one of the most important nosocomial, multidrug resistant pathogens. The most important virulence factor is its ability to form biofilms. Microtiter-plate method was used to detect the ability of twenty A. baumannii clinical strains to form biofilm in polystyrene wells. Biofilm formation was assessed by staining with a crystal violet solution 0.1% then elution by an ethanol-acetone mixture (80:20) and O.D measurement. In general, among the twenty isolates, 2 isolates were strong biofilm formers, 13 were medium and 5 were weak. It is worthy to mention that the strong biofilm forming strains were those isolated from tracheal aspirates and wound swabs. When examining environmental factors' effects on biofilm formation, results revealed that biofilm formation was enhanced in the presence of lactose as a carbon additive. Production of biofilm was maximum at pH 6 and 7.4 as indicated from O.D values. Biofilm formation was better at all temperatures with a slight increase at 40oC and was maximum after 72h. The effect of addition of serum on biofilm formation varies among the isolated samples giving rise to high O.D values in sample 2 and 4. Non-biofilm producing mutant generated by 70% CV treatment of strain no. 1 was tested and found to be as antibiotic resistant as the wild type strains indicating the contribution of other factors in addition to biofilm to resist antibiotics.
Approach and application to transfer heterogeneous simulation data from finite element analysis to neural networks

The simulation of product behavior is a vital part of current virtual product development. It can be expected that soon there will be more product simulations due to the availability of easy-to-use finite element analysis software and computational power. Consequently, the amount of accessible new simulation data adds up to the already existing amount. However, even when using easy-to-use finite element software tools, errors can occur during the setup of finite element simulations, and users should be warned about certain mistakes by automatic algorithms. To use the vast amount of available finite element simulations for a data-driven finite element support tool, in this paper, a methodology will be presented to transform different finite element simulations to unified matrices. The procedure is based on the projection of nodes onto a detector sphere, which is converted into a matrix in the next step. The generated matrices represent the simulation and can be described as the DNA of a finite element simulation. They can be used as an input for any machine learning model, such as convolutional neural networks. The essential steps of preprocessing the data and an application with a large dataset are part of this contribution. The trained network can then be used for an automatic plausibility check for new simulations, based on the previous simulation data from the past. This can result in a tool for automatic plausibility checks and can be the backbone for a feedback system for less experienced users.
The Power of Aha! On Stimulating and Guiding Students towards Self-Awareness and Critical Reflection while Teaching about Personality Psychology and Gender Stereotypes

This qualitative study introduces a pedagogic design which addresses the challenging task of teaching and learning self-awareness and critical reflection in the teaching of psychology. The context of the study was a course in personality psychology for first year students, and the topic of interest was how the perception of personality is affected by gender stereotypes. The pedagogic design included the recording of a mixed-sex dialogue, which was then digitally altered for pitch and timbre producing two gender-switched versions of one single recording. Students were divided into two groups who listened to one of the two different voice alterations, and were given the task to rate the personality traits of male or female sounding versions of the same character. In the subsequent debriefing seminar, students were presented with the data from their ratings. These results were then used as a reference point for inter-group discussion, and later students were also asked to reflect over the activity individually in writing. A thematic analysis of their written answers indicates that this pedagogic setup, in combination with guided reflection, can be helpful to challenge students’ own assumptions, aiding self-awareness and critical reflection related to stereotyping.
Analytical model and simulation-based analysis of a work function engineered triple metal tunnel field-effect transistor device showing excellent device performance

In this study, the authors propose a work function engineered (WFE) triple metal (TM) tunnel field ‐ effect transistor (TFET) device, which exhibits lower subthreshold slope (SS) and better on to off current ratio in comparison with conventional double gate TFET and dual metal TFET device. An analytical model is formulated to study the performance of the proposed device. A simulation ‐ based study of these TFET devices has been carried out with the help of 2D TCAD (Technology Computer Aided Design) Sentaurus device simulator for different channel length values in order to validate our proposed mathematical model. The source side n þ pocket in the proposed triple metal (TM) TFET device enhances tunnelling probability thus increasing on current and off current is controlled by another n ‐ pocket near drain side. Significantly lower subthreshold slope (less than 10 mV/decade), high transconductance (in the order of 10 (cid:0) 4 S/μm), low energy ‐ delay product (24.601 fJ ‐ ns/μm) obtained for TM WFE TFET makes this device more suitable for digital logic and RF (Radio Frequency) application.
Expression and Functional Analyses of Ectodermal Transcription Factors FoxJ-r, SoxF, and SP8/9 in Early Embryos of the Ascidian Halocynthia roretzi

The spatiotemporal expression of zygotic genes is regulated by transcription factors, which mediate cell fate decision and morphogenesis. Investigation of the expression patterns and their transcriptional regulatory relationships is crucial to understand embryonic development. Staged RNA-seq of the ascidian Halocynthia roretzi has previously shown that nine genes encoding transcription factors are transiently expressed at the blastula stage, which is the stage at which cell fates are specified and differentiation starts. Six of these transcription factors have already been found to play important roles during early development. However, the functions of the other transcription factors (FoxJ-r, SoxF, and SP8/9) remain unknown. The study of the spatial and temporal expression patterns showed that all three genes were expressed in the animal hemisphere as early as the 16-cell stage. This is likely due to transcription factor genes that are expressed in the vegetal hemisphere, which have been extensively and comprehensively analyzed in previous studies of ascidians. Functional analyses using FoxJ-r morphants showed that they resulted in the disruption of laterality and the absence of epidermal mono-cilia, suggesting FoxJ-r functions in cilia formation and, consequently, in the generation of left-right asymmetry, as observed in vertebrates. SoxF knockdown resulted in incomplete epiboly by the ectoderm during gastrulation, while SP8/9 knockdown showed no phenotype until the tailbud stage in the present study, although it was expressed during blastula stages. Our results indicate that transcription factor genes expressed at the cleavage stages play roles in diverse functions, and are not limited to cell fate specification.
Organic electroluminescent devices: enhanced carrier injection using SAM derivatized ITO electrodes

Taking as a device model ITO|TPD|Alq3|Al (where TPD is N,N′-bis(3-methylphenyl)-N,N′-diphenyl-1,1′-biphenyl-4,4′-diamine and Alq3 is tris(quinolin-8-olato)aluminium) it is shown that control and improvement of carrier injection may be achieved using self-assembled monolayers (SAMs) to manipulate the Schottky energy barrier at the ITO–TPD interface. By using polar adsorbate molecules with the dipole oriented outward from the surface an artificial dipolar layer is formed and the work function is increased, and viceversa. With this method the threshold voltage for light emission (turn-on) can be reduced by 4 V and the maximum luminance increased by a factor of 3.5, giving an overall performance superior to that using the more stable Ag/Mg counter electrode. The SAMs effect is confirmed using a Scanning Kelvin Probe (SKP) to profile the relative work function of half-coated ITO samples. Increases in work function in excess of 0.3 eV are observed, in line with predictions using the calculated molecular dipoles of the SAM molecules.
Deep multi-level up-projection network for single image super-resolution

Most convolutional neural network-based single image super-resolution (SR) methods do not take full account of the hierarchical features of the original low-resolution (LR) images, including the intra-channel spatial feature information and the inter-channel feature information, which decreases the representational capacity of the network. A deep multi-level upprojection network (DMUN) is proposed to solve this problem. Local feature up-projection unit is adopted in DMUN to obtain high-resolution (HR) feature of different levels and then to reconstruct the SR image. Residual up-projection group in DMUN mines the hierarchical LR feature information and its corresponding HR residual information recursively. A residual recorrection mechanism is further introduced, which adopts HR residual information to re-correct HR features and enrich the details of the output image. Finally, the original residual block with spatial-and-channel attention mechanism is improved, which adaptively recalibrates features by considering the intra-channel spatial relationships and the inter-channel pixel-wise interdependencies simultaneously. Experiments on benchmark datasets show that DMUN achieves favourable performance against state-of-the-art methods.
An Algorithm for Efficient Generation of Customized Priority Rules for Production Control in Project Manufacturing with Stochastic Job Processing Times

Project Planning and Control (PPC) problems with stochastic job processing times belong to the problem class of Stochastic Resource-Constrained Multi-Project Scheduling Problems (SRCMPSP). A practical example of this problem class is the industrial domain of customer-specific assembly of complex products. PPC approaches have to compensate stochastic influences and achieve high objective fulfillment. This paper presents an efficient simulation-based optimization approach to generate Combined Priority Rules (CPRs) for determining the next job in short-term production control. The objective is to minimize project-specific objectives such as average and standard deviation of project delay or makespan. For this, we generate project-specific CPRs and evaluate the results with the Pareto dominance concept. However, generating CPRs considering stochastic influences is computationally intensive. To tackle this problem, we developed a 2-phase algorithm by first learning the algorithm with deterministic data and by generating promising starting solutions for the more computationally intensive stochastic phase. Since a good deterministic solution does not always lead to a good stochastic solution, we introduced the parameter Initial Copy Rate (ICR) to generate an initial population of copied and randomized individuals. Evaluating this approach, we conducted various computer-based experiments. Compared to Standard Priority Rules (SPRs) used in practice, the approach shows a higher objective fulfilment. The 2-phase algorithm can reduce the computation effort and increases the efficiency of generating CPRs.
An open-source Gaussian beamlet decomposition tool for modeling astronomical telescopes

In the pursuit of directly imaging exoplanets, the high-contrast imaging community has developed a multitude of tools to simulate the performance of coronagraphs on segmented-aperture telescopes. As the scale of the telescope increases and science cases move toward shorter wavelengths, the required physical optics propagation to optimize high-contrast imaging instruments becomes computationally prohibitive. Gaussian Beamlet Decom- position (GBD) is an alternative method of physical optics propagation that decomposes an arbitrary wavefront into paraxial rays. These rays can be propagated expeditiously using ABCD matrices, and converted into their corresponding Gaussian beamlets to accurately model physical optics phenomena without the need of diffraction integrals. The GBD technique has seen recent development and implementation in commercial software (e.g. FRED, CODE V, ASAP)1-3 but appears to lack an open-source platform. We present a new GBD tool developed in Python to model physical optics phenomena, with the goal of alleviating the computational burden for modeling complex apertures, many-element systems, and introducing the capacity to model misalignment errors. This study demonstrates the synergy of the geometrical and physical regimes of optics utilized by the GBD technique, and is motivated by the need for advancing open-source physical optics propagators for segmented- aperture telescope coronagraph design and analysis. This work illustrates GBD with Poisson's spot calculations and show significant runtime advantage of GBD over Fresnel propagators for many-element systems.
Community-led Work and Its Impact on Deprofessionalization: The Case of Public Library Professionals

The objective of this empirical study was to explore the impact of community—led work on the (de-)professionalization process among public library professionals in Canada through the analyzation of transcripts from 11 semi-structured interviews and a guideline document. The results were analyzed and sensitized through Abbott’s professionalization theory (1988) and Bourdieu’s praxeology theory (1986; 1992). With the methodology of grounded theorization, the study found that the profession has changed, and is changing, into the direction of possible deprofessionalization, due to not only external but also internal factors in the form of a collegial conflict.
Facile Synthesis and Enhanced Adsorption Ability of Pt-GO/MOF Nanomaterials

We demonstrated the synthesis of Pt-GO/MOF (Metal-organic framework) materials via a facile three-step procedure. The hybrid materials were characterized by powder X-ray diffraction, infrared spectrum, and thermo-gravimetric analysis. The adsorption experiments of the Pt-GO/MOF on CO2 were investigated at 273 K. To be interested, all of the hybrid materials show enhanced adsorption ability on CO2, which is higher than parent MOF materials under the same conditions. As the ratios of Pt-GO increase, the adsorption amount increase first and then decrease, which is ascribed to the interaction among Pt-GO, ligands, and metal sites.