Miracle-dz/UniFAR-FTUs huggingface dataset:
The Influence of Grit on Career Decision Self-efficacy within the Context of an Undergraduate Career Success Course

Recent interest in the development of non-cognitive skill development within the educational environment can play an important role in helping students succeed while in school and beyond. The purpose of this quantitative, quasi-experimental design study is to explore what influence a career focused Introduction to Business course embedded with grit lessons that is administered to full-time undergraduate college students has on measures of grit and career decision self-efficacy. Data gathering instruments included the 12 item Grit Scale (Duckworth et al., 2007) and the Career Decision Self-Efficacy Scale (Betz & Taylor, 2012). Dependent variables are grit and career decision self-efficacy (CDSE) scores. The independent variable will be the modified Introduction to Business Course with embedded grit lessons. The control group received the standard Introduction to Business curriculum. The treatment and control condition will be administered simultaneously over a seven-week period, meeting twice per week for 50 a minute class period. Grit and CDSE were measured using pretest-posttest design to promote the isolation of the dependent variables measured on posttest as an indication of the treatment. Grit and CDSE showed no statistically significant relationships between the two constructs. The treatment group did show small positive effect in posttest grit scores versus the control group. No statistical significance was identified for CDSE scores between the control and treatment groups. The results of this study may provide evidence, grounded in research, that can provide additional support in the development of grit in the classroom environment and further understanding of the relationship between CDSE and grit.
MODELLING AND FORECASTING REALIZED VOLATILITY IN THE INTRADAY CONTINUOUS GERMAN-AUSTRIAN ELECTRICITY MARKET

There is growing interest in modelling the dynamics of electricity prices. A better understanding of the electricity prices dynamics means better forecasts increasing the competitiveness in the market which is interesting for all the participants in the market. However, the electricity prices present some features such as high variation which make difficult their modelling. In this paper, as there are not good enough models that can predict the exact price of the electricity, we model the realized volatility (RV) so that predictions on the variation can be made. In this sense, the quadratic variation theory is used to model the RV. The RV is separated into the jump component of the variation and the continuous component, then if necessary GARCH structures are included in the models. The intraday continuous market in Germany and Austria for 15-minutes blocks is analysed, this market is inside the EPEX market. It is shown that better results are achieved when the RV is decomposed, even if GARCH structures are included in the models. According to out-of-sample criteria, The best forecasts in this market are achieved using the HAR-CV-JV model.
Beam Switching Reflectarray using RF MEMS Technology

In this paper a reconfigurable reflectarray is designed where the change in the progressive phase shift between elements is obtained with RF MEMS switches in the transmission lines of unit elements composed of aperture coupled microstrip patch antenna elements. In the design, the phase errors due to nonideal phase design curve and RF MEMS switch type are reduced. It is aimed to switch the reflected beam of the reflectarray between broadside and 40 degrees. To show the validity of the design procedure, a prototype of 20×20 reflectarray is designed and produced. The measurement results of the prototype reflectarray show that the main beam can be directed to the 40 degrees as desired. (6 pages)
Visualization of large meshes and solutions from numerical simulations with ViZiR 4

English Abstract —ViZiR 4 is a light, simple and interactive high-order meshes and solutions visualization software using OpenGL 4 graphic pipeline. The use of OpenGL Shading Language (GLSL) allows to perform pixel exact rendering of high order solutions on ﬂat elements and almost pixel exact rendering on curved elements with tessellation done directly on GPU. Post-processing tools, such as picking, isolines, clipping, capping are provided to interact on the ﬂy with the results displayed.
MULTIPLICITY RESULTS OF POSITIVE SOLUTIONS FOR SINGULAR GENERALIZED LAPLACIAN SYSTEMS

We study the homogeneous Dirichlet boundary value problem of generalized Laplacian systems with a singular weight which may not be in L1. Using the well-known fixed point theorem on cones, we obtain the multiplicity results of positive solutions under two different asymptotic behaviors of the nonlinearities at 0 and ∞. Furthermore, a global result of positive solutions for one special case with respect to a parameter is also obtained.
Multiperiod secure economic dispatch for large-scale power systems

Dynamic multi-period economic dispatch for large-scale power systems is considered; the formulation presented provides for loading and deloading rates, limits on generator outputs, spinning-reserve requirements and group power import-export limits. It is also suitable for implementation within a constraint relaxation strategy. The solution algorithm is based on a Dantzig-Wolfe decomposition, which yields a capacitated transshipment subproblem along with a master problem solved by the revised simplex method. The computational efficiency of the algorithm renders it suitable for on-line dispatch.
New method for investigating the dynamic pressure behavior of compression garment

Purpose – The paper aims to develop a system and measuring method for investigating the dynamic pressure behavior of compression garments.Design/methodology/approach – The dynamic pressure behavior measurement, realized by use of the self‐designed system, is a direct measuring method, which is based on a rigid hemisphere with five pressure sensors distributed on its surface. The dynamic pressure is measured over time under the process of fabric 3D deformation. The pressure distributions at the basic five sites are accepted as the measuring results. The dynamic stiffness index can be calculated from dynamic pressure profile and 3D deformation of compression garments.Findings – The measuring system records the pressure‐time curve and pressure‐deformation curve. The dynamic pressure stiffness index expresses the change in pressure owing to the change in elongation of compression fabrics. The pressure measuring system and the index provide much information in the field of compression garment assessment.Resear.
The status of the education of science for children aged 5–6 in some central Vietnamese public preschools

The study aims to determine the status of organizing science activities for preschoolers aged 5–6 and teachers' views on improving science education quality for 5–6-year-olds in Vietnam. The research was undertaken on 150 preschool teachers working with 5–6 years old classes in 24 public preschools in 3 provinces, including Quang Binh, Quang Tri, and Thua Thien Hue. Mixed methods, including surveys, interviews with teachers, and observation of science discovery activities, were used. According to the study results, science education activities were regularly organized in the preschools with specific plans following the school-year curriculum and the national ECE framework of Vietnam. Teachers used various methods and forms for organizing scientific activities, but the classroom environment was dominant. The participation of family and society in science activities at preschools was limited. Teachers also highlight some measures to improve the quality of science education in preschools, including providing necessary facilities, equipment, toys for preschools and increasing modern teaching methods. The findings of this study provide necessary evidence on science education for preschool children in practical terms as the basis for further studies on solutions to improve the efficiency of science education for preschool children in Vietnam.
Real-time fringe pattern processing and its applications

Two real-time phase mapping methods for finge patterns are presented, which are based on a spatial phase-shifting with three fringe patterns, and on a spatial synchronous detection for a tilted fringe pattern. A digital TV-image processor is implemented which bases on the two fringe processing techniques. Applications of the present methods to surface shape measurements using a polarization interferometer and a fringe projection technique, and to a surface deformation measurement using a holographic interferometer are described. Worst phase errors are analyzed theoretically which are caused by an additive intensity noise of input fringe signals and a multiplicative intensity noise due to misalignments of a measuring system. A phase error due to a digitization of calculations is also evaluated numerically.
Investigating Environmental Kuznets Curve: A Panel Data Analysis for India

The main objective of this study is to examine the relevance of the Environmental Kuznets Curve (EKC) hypothesis in describing the relationship between air pollution and development of a panel of 21 Indian states, using data for the period 2001–2016. This article attempts to use panel unit root, the panel cointegration test and panel dynamic ordinary least square approach to examine the relationship among various variables, including the atmospheric concentration of sulphur dioxide (SO2)/nitrogen dioxide (NO2), net state domestic product, social sector expenditure and other variables used as a proxy for the composition effect and development effect. The empirical analysis indicates that there exists a long-term relationship between the concentration of SO2 and NO2 with per capita income and other variables. In terms of the EKC hypothesis, the findings recommend the existence of a cubic relationship in the long run and emphasise the need to bring environment-friendly structural changes in economic activity and to enhance sustainable development through technological innovation.
Modelling and simulation of stator winding inter‐turn faults in permanent magnet synchronous motors

Purpose – The purpose of this paper is to present a new model to study inter‐turn short circuit faults in a permanent magnet synchronous machine.Design/methodology/approach – The machine is modeled by using classical two‐axis theory, and the equations are modified to take into account the stator inter‐turn faults. A state space form of the system is presented for dynamic simulations.Findings – The machine model is global and can work in both normal and fault conditions due to a fictitious resistance in the winding circuit. Various simulation results have been presented indicating the fault instant and its corresponding effect. Validation is carried out by transient time finite element simulations.Originality/value – The model can serve as a step towards development of fault detection and diagnosis algorithms.
Experimental Study and Finite Element Analysis on RPC Footwalk Braces

In this paper, a series of Reactive powder concrete (RPC) footwalk braces without conventional steel bars are designed for the Qing-Zang railway. Experimental studies on the braces are conducted in order to test the mechanical character of the braces. Totally eight RPC footwalk braces are experimentally measured with static load. According to the analysis of the experimental results, the ratio of the crack load got from the experiment to the design load is 2.54 and the deflection ductile coefficient is 2.32. The experimental results show that the mechanical performance of RPC footwalk braces can satisfy the engineering requirements and there is enough safety margin for footwalk braces. A three-dimensional finite element analysis (FEA) is also carried out and the results of FEA are compared with that of the experiments. The results show that the FEA method can be used in designing the RPC footwalk braces.
Nanoporous anodic aluminum oxide as a promising material for the electrostatically-controlled thin film interference filter

This study presents the approach to implement the electrostatically-controlled thin film optical filter by using a nanoporous anodic aluminum oxide (np-AAO) layer as the key suspended micro structure. The bi-stable optical filter operates in the visible spectral range. In this work, the presented bi-stable optical filter has averaged reflectivity of 60%, and the central wavelengths are 580 and 690 nm respectively for on and off states. The presented np-AAO layer offers the following merits for the thin film optical filter: (1) material properties of np-AAO film, such as refractive index, elastic modulus and dielectric constant, can be easily changed by a low temperature pore-widening process, (2) in-use stiction of the suspended np-AAO structure can be reduced by the small contact area of nanoporous textures, (3) driving (pull-in) voltage can be reduced due to a large dielectric constant (εAAO is 7.05) and small stiffness of np-AAO film and (4) dielectric charging can be reduced by the np-AAO material; thus the offset voltage is small. The study reports the design, fabrication and experimental results of the bi-stable optical filter to demonstrate the advantages of the presented device. The np-AAO material also has the potential for applications of other electrostatic drive micro devices.
Single‐, dual‐, and triple‐band metamaterial‐inspired electrically small planar magnetic dipole antennas

The design and performance characteristics of metamaterial‐inspired electrically small, single, dual and triple band antennas at the GSM (1.93–1.99 GHz), ISM (2.43–2.4835 GHz), and WiMAX (3.3–3.6 GHz) frequencies are reported. These antennas are based on a coaxially fed printed dipole integrated in a planar configuration with capacitively loaded loops (CLLs) as its near‐field resonant parasitic radiators. In the proposed topology, the number of operating frequencies is determined by the number of CLLs. These antennas are geometrically simple, operate as magnetic dipoles (directivities ∼1.6−2.0 dB), and have high (≥80%) radiation efficiencies at all of their operating frequencies. © 2014 Wiley Periodicals, Inc. Microwave Opt Technol Lett 56:83–87, 2014
Laser performance operations model (LPOM): a tool to automate the setup and diagnosis of the National Ignition Facility

The National Ignition Facility (NIF), currently under construction at the University of California's Lawrence Livermore National Laboratory (LLNL) is a stadium-sized facility containing a 192-beam, 1.8 Megajoule, 500-Terrawatt, 351-nm laser system together with a 10-meter diameter target chamber with room for nearly 100 experimental diagnostics. NIF is being built by the National Nuclear Security Administration and when completed will be the world's largest laser experimental system, providing a national center to study inertial confinement fusion and the physics of matter at extreme energy densities and pressures. NIF's 192 energetic laser beams will compress fusion targets to conditions where they will ignite and burn, liberating more energy than required to initiate the fusion reaction. The commissioning of the first four beamlines (a quad) was completed in October 2004 -- a two-year period where a wide variety of energetic laser pulses were propagated through the laser system. Success on many of the NIF laser's missions depends on obtaining precisely specified energy waveforms from each of the 192 beams over a wide variety of pulse lengths and temporal shapes. A computational system, the Laser Performance Operations Model (LPOM) has been developed and deployed during NIF commissioning to automate the laser setup process, and accurately predict laser energtics. For each shot on NIF, the LPOM determines the characteristics of the injection laser system required to achieve the desired main laser output, provides parameter checking for equipment protection, determines the required diagnostic setup, and supplies post-shot data analysis and reporting. LPOM was deployed prior to the first main laser shots in NIF, and has since been used to set up every shot in NIF's first quad (four beamlines). Real-time adjustments of the LPOM energetics model allows NIF to routinely deliver energies within 3%, of requested and provide energy balance within the four beamlines to within 2% for shots varying from 0.5 to 26 kJ (1.053 μm) per beamline. The LPOM has been a crucial tool in the commissioning of the first four beamlines (a quad) of NIF.
A decentralized agent‐based semantic service control and self‐adaptation in smart health mobile applications

In this article, we propose a decentralized agent‐based autonomic semantic service adaptation controller and reconfiguration (ASSACR) to solve the problem of context‐aware service selection and deployment for distributed healthcare mobile applications, where functional and nonfunctional users' needs are expressed using domain‐independent ontology. The main objective of this approach is to provide optimal personalized services as fast as possible. Indeed, a new ontology for semantic description and parallel management of the contextual services is presented. At first, a new dominance operator‐based constraints violation degree is used to reduce the search space. Then, optimal personalized paths that meet user's needs, preferences and devices' availability are discovered and selected in a smaller search space more effectively and efficiently using dynamic services selection algorithm, based on new ASSACR multiagent strategies. To validate the performance and efficiency of the proposed approach, we compared the proposed approach with existing multiagent strategies of the diabetic follow‐up use cases. Experimental results show that the proposed approach effectively addressed both the semantic service representation and agent aspects in terms of performance and quality service selection.
Timelapse viability assay to detect division and death of primary multiple myeloma cells in response to drug treatments with single cell resolution

Heterogeneity among cancer cells and in the tumor microenvironment (TME) is thought to be a significant contributor to the heterogeneity of clinical therapy response observed between patients and can evolve over time. A primary example of this is multiple myeloma (MM), a generally incurable cancer where such heterogeneity contributes to the persistent evolution of drug resistance. However, there is a paucity of functional assays for studying this heterogeneity in patient samples or for assessing the influence of the patient TME on therapy response. Indeed, the population-averaged data provided by traditional drug response assays and the large number of cells required for screening remain significant hurdles to advancement. To address these hurdles, we developed a suite of accessible technologies for quantifying functional drug response to a panel of therapies in ex vivo three-dimensional culture using small quantities of a patient’s own cancer and TME components. This suite includes tools for label-free single-cell identification and quantification of both cell division and death events with a standard brightfield microscope, an open-source software package for objective image analysis and feasible data management of multi-day timelapse experiments, and a new approach to fluorescent detection of cell death that is compatible with long-term imaging of primary cells. These new tools and capabilities are used to enable sensitive, objective, functional characterization of primary MM cell therapy response in the presence of TME components, laying the foundation for future studies and efforts to enable predictive assessment drug efficacy for individual patients. Insight Box The new tools and capabilities described here allow new insights into functional primary cell therapy response by (i) enabling more drugs to be tested on precious and limited numbers of patient cells ex vivo (ii) providing the ability to discriminate both cell division and death events over multiple days with single-cell resolution, and (iii) by incorporating the influences of a patient’s own cancer cells and TME components on drug response.
Measuring and Maintaining the Plate Parallelism of Fabry‐Pérot Etalons

Many dynamic phenomena on the Sun require observations with high temporal, spatial, and spectral resolution. Fabry‐Pérot–based imaging spectropolarimetry can serve these needs, especially in combination with adaptive optics and advanced image restoration and processing techniques. Therefore, a detailed understanding of the instrument characteristics is the foundation for exploiting the capabilities of these complex systems. We present a novel, efficient, and robust algorithm for maintaining and quantifying the plate parallelism of Fabry‐Pérot etalons. The plate characteristics are quantified in terms of Zernike polynomials, finding a direct relationship between the voltages applied to the piezoelectric actuators, which control the tip‐tilt motion of the etalon, and the plate parallelism. The plate defects are conveniently described by the Zernike coefficients up to 15th order. The algorithm has been tested with the visible‐light imaging magnetograph at the Big Bear Solar Observatory in California.
Recombinant Group A Carbohydrate backbone embedded into Outer Membrane Vesicles is a potent vaccine candidate targeting Group A Streptococcus from Streptococcus pyogenes and Streptococcus dysgalactiae subsp. equisimilis

Background Group A Streptococcus (GAS) are responsible for a wide range of human-exclusive infections, annually killing more than 500,000 people. Antibiotic resistance incidence of invasive GAS tripled in the past decade and emphasises the need to develop a universal GAS vaccine. We have produced, for the first time, a recombinant polyrhamnose backbone (pRha), a validated universal GAS vaccine candidate. E. coli outer membrane vesicles (OMVs) carrying pRha were investigated for their immunogenicity and efficacy in an animal model. Methods OMVs decorated with pRha were administered to C57BL/6J mouse and rabbit models. Flow cytometry, ELISA, Luminex, immunofluorescence microscopy and serum bactericidal assay assays were conducted to investigate the ability of pRha-specific antibodies to recognise and kill clinical (hypervirulent) GAS strains. Results Our results suggest that pRha-OMVs induce specific antibodies which recognise Group A Carbohydrate (GAC) from S pyogenes and S. dysgalactiae subsp. equisimilis. Increased IgG levels correlate with increased bactericidal killing of the hypervirulent GAS M89 strain. Elevated IL-17a from pRha-OMV-immunised splenocytes indicates possible stimulation of long-term memory immune cells. Conclusion We are the first to report efficacy and potency of this unique, exogenously produced polysaccharide, pRha, in the induction of humoral-mediated immune responses to GAS. Topic Streptococcus pyogenes, immunoglobulins, polysaccharides, opsonophagocytosis, acute rheumatic fever, M protein, invasive Group A Streptococcus, hyaluronic acid