Miracle-dz/UniFAR-FTUs huggingface dataset:
Depression Literacy: An Analysis of the Stigmatization of Depression in Thailand

This article summarizes an investigation of the stigmatization of depression in Thailand to determine whether there is a relationship between depression literacy and personal stigma and perceived stigma. This mixed-method study utilized two questionnaires, the Depression Literacy Questionnaire and the Depression Stigma Scale, by Griffiths et al. and subsequently asked participants for their opinions of depression and stigmatization within the Thai context. About 914 online surveys were processed using correlational and descriptive analysis. Results indicate that the depression literacy score was moderate to average. Personal stigma, on average, was low to moderate. Perceived stigma, on average, was moderate to high. The correlation between depression literacy and personal stigma was a strong negative correlation, unlike in depression literacy and perceived stigma. The correlation between personal stigma and perceived stigma was a moderate positive correlation. The level of negative stigma was lower than the perceived stigma. This research indicated that depression literacy had a significant negative correlation with personal stigma but no correlation with perceived stigma. Other factors such as sex, level of education, religion, and prior experiences with people with depression play a moderate role in the level of depression literacy and personal stigma.
Extreme subdwarfs. I. Molecular band strengths: a theoretical approach.

For subdwarf stars with effective temperatures < or approx. =5500 K, the G-band region, which is a conglomerate of many atomic and molecular (CH) lines, is shown by spectrum synthesis to be an extremely sensitive metal abundance discriminator. In particular, some of the spectra computed for metal-deficient model atmospheres in the wavelength interval 4290 to 4330 A show that this feature is stronger than that for the normal abundance model at the same effective temperature and gravity. Thus the ''CH strong'' red subluminous stars classified by Greenstein can be adequately interpreted as belonging to this group of stars, rather than unevolved stars having an overabundance of carbon. The behavior of CO, OH, and H/sub 2/O molecules in determining the amount of free carbon available for CH formation in stellar atmospheres is discussed for a grid of flux-constant model atmospheres. Synthetic G-bands constructed with this grid of dwarf and subdwarf model atmospheres enable metal abundances to be derived for subdwarf stars with effective temperatures between 4000 K and 6000 K. In addition, molecular bands of magnesium hydride were constructed for some of the coolest model atmospheres and these show that this feature is a similar metal abundance discriminator for subdwarfs withmore » T/sub eff/< or approx. =4000 K. « less
Muscle Fatigue Analysis in Dynamic Contractions Using Semi-Automatic Segmentation of Muscle Inactivity Areas

Electromyography (EMG) is a technique that registers muscle activity allowing the study of muscle behavior. One such study is the muscle fatigue analysis, which can be defined as the beginning of muscle tiredness and can occur in static or dynamic contractions. There are moments of activity and muscle rest during dynamic contractions, where the latter may not be interesting for some muscle analysis, like muscle fatigue. Therefore, removing muscle inactivity is attractive, but as the signal is not standardized, this process is slower and more individualized. So, this work aims at presenting a muscle fatigue analysis using semi-automatic segmentation of the EMG signal, cutting off the inactivity moments of an electromyography signal obtained during dynamic activity. This analysis consists in calculating the median frequency, a traditional measure to analyze muscle fatigue in static contractions. To assess the efficiency of the proposed method, the median frequency values were compared using manual and semi-automatic segmentation. The result is satisfactory, preserving the desired signal parts for analysis and indicating muscle fatigue as expected.
Point-Based Monte Carto Online Planning in POMDPs

The online planning and learning in partially observable Markov decision processes are often intractable because belief states space has two curses: dimensionality and history. In order to address this problem, this paper proposes a point-based Monte Carto online planning approach in POMDPs. This approach involves performing value backup at specific reachable belief points, rather than over the entire belief simplex, to speed up computation processes. Then Monte Carlo tree search algorithm is exploited to share the value of actions across each subtree of the search tree so as to minimise the mean squared error. The experimental results show that the proposed algorithm is effective in real-time system.
Droop in InGaN light-emitting diodes: A differential carrier lifetime analysis

To investigate the variation in internal quantum efficiency in InGaN structures, we measure the differential carrier lifetime of an InGaN/GaN double-heterostructure light-emitting diode under varying electroluminescence injection conditions. By coupling this measurement to an internal quantum efficiency measurement, we determine the carrier density and the radiative and nonradiative contributions to the lifetime without making any assumptions on recombination processes. We find that droop is caused by a shortening of the nonradiative lifetime with current. The observed shortening of both radiative and nonradiative lifetimes with current is found to be in excellent agreement with an ABC model including phase-space filling.
Linear Pulse Propagation in an Absorbing Medium

The pulse velocity in the linear regime in samples of GaP: N with a laser tuned to the bound $A$-exciton line is measured with use of a picosecond time-of-flight technique. The pulse is seen to propagate through the material with little pulse-shape distortion, and with an envelope velocity given by the group velocity even when the group velocity exceeds 3\ifmmode\times\else\texttimes\fi{}${10}^{10}$ cm/sec, $\mathrm{equals}\ifmmode\pm\else\textpm\fi{}\ensuremath{\infty}$, or becomes negative. The results verify the predictions of Garrett and McCumber.
Morpho-Physiological and Biochemical Responses Of Salt-Sensitive and Salt-Tolerant Potato Varieties To Salinity Stress

A pot experiment was conducted with three potato varieties [‘BARI Alu-72’ (salt-tolerant), ‘BARI Alu-25’ (relatively salt-tolerant) and ‘BARI Alu-13’ (saltsensitive)] under three levels of salinity stress (control; 0.2, moderate; 6-8 and severe; 10-12 dSm-1) for evaluating their morphological, physiological and biochemical changes during rabi season of 2018-19. Salinity treatment was imposed from 10 days after emergence (DAE) to maturity stage by adding NaCl solution. Salinity stress caused higher reduction in chlorophyll (Chl), carotenoids (CAR), cell membrane stability index (CMSI), biomass and tuber yield plant-1 but increase in contents of catalase (CAT), peroxidase (POD), ascorbate peroxidase (APX), glutathione peroxidase (GPX), glutathione S-transferase (GST) and glutathione reductase (GR) activities in all potato varieties and at all the salinity levels. The reduction of Chl, CAR, CMSI, biomass and yield plant-1 were lower in ‘BARI Alu-72’ as compared to other two varieties. Moreover, ‘BARI Alu-72’ showed higher activities of CAT, POD, APX, GPX, GR and GST as well as contents of K+ and lower malondialdehyde (MDA), lipoxygenase (LOX) and Na+ contents in comparison with those of ‘BARI Alu-25’ and ‘BARI Alu-13’. Activities of antioxidants were found moderate in ‘BARI Alu-25’. ‘BARI Alu-13’ showed higher Na+ and Na+/K+ ratio. The results showed that salinity tolerance in potato was manifested by lower decrease in biomass and yield plant-1 with higher antioxidant activities and K+ contents, and lower MDA, LOX and Na+ content than salinity sensitive genotype. Bangladesh J. Agril. Res. 45(3): 315-333, September 2020
BRAND ANALYSIS OF VELOX CREATIVE COMPANY IN INDONESIA

The basic of this project is to develop Brand Analysis of Velox creative company in Indonesia. The mediums that we will use are Interviews with the personals of the company, social media presence and personal psychology of the peoples with respect to the company. The technique that we are planning to create is brand strategy, various plans, evaluation, metric and estimation. This research will provide valuable information regarding the Brand Strategy, Brand Architecture, Internal Branding, Competitive analysis, Market analysis, Brand metrics, Brand Value and other Brand management attributes. The research will be mostly dependent on the primary and the secondary data that can help us to practical and highly efficient model that will not only benefit the company but also the people. Velox are using online and offline marketing strategy. On online strategy, they are using social media account such as Facebook, Instagram, Email, and also website. On offline strategy, they are using proposal to the potential clients. A client for any company majorly comes from their online strategy and for that we must update our various social media account daily. When we get more followers, our order for work also come from it. As Velox is facing problems with its Brand Marketing and other projections of their work to the world, this gave us an opportunity to sense there some issues and help them with some of our solutions to solve their serious problems.
Introduction à l'économétrie des mesures de pauvreté

The aim of this paper is to provide an overview of the econometric problems that are linked to the measurement of poverty. Starting from a welfare function, we first define inequality measures and then poverty measures which are based either on indices or on thenotion of stochastic dominance. We then show how the choice data definitions (income or consumption spending, equivalence scales, etc.) can modify or invert empirical conclusions when comparing countries or the time evolution of poverty. The statistical treatment of surveys data implies the use of instruments that are simple at the beginning (order statistics, density estimation), but that can become rapidly complex when one has to estimate standard deviations or even more when one wants to test stochastic dominance. Most of statistical analysis concerning inequality and poverty is descriptive. Explicative models are needed for analysing the dynamics of poverty such as dynamic factor models or quantile regressions.Finally serious empirical analysis of poverty requires the use of survey data such as the UK Family expenditure survey or the French enquete sur le budget des familles. The access to these data set for scientific researchers is very unequal, in particular in France.
Effects of Potential Confounding Factors on Fit Indices and Parameter Estimates for True and Misspecified SEM Models

The present Monte Carlo study assessed the effects of three potential confounding factors on structural equation modeling (SEM) fit indices and parameter estimates: data nonnormality, estimation method, and sample size. The major findings were that (a) relatively mild data nonnormality has little effect on SEM fit indices and parameter estimates; (b) under misspecified models, estimation method (maximum likelihood [ML] vs. generalized least squares [GLS]) has considerable influence on SEM incremental fit indices; and (c) some fit indices are more susceptible to the influence of sample size. Previous findings in the literature that SEM fit indices were consistent under different estimation methods may need to be revisited, because the finding was primarily based on Monte Carlo simulations involving true SEM models. Because SEM researchers rarely are certain whether they have correctly specified their models, it is critical that simulation studies are conducted in the presence of model misspecification, as in the present study.
A K-Band Hybrid-Packaged Temperature-Compensated Phased-Array Receiver and Integrated Antenna Array

This article presents an eight-channel 1.9-dB noise figure (NF) <inline-formula> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula>-band phased-array receiver (RX) for satellite communication (SATCOM). It employs the hybrid-packaged 65-nm CMOS beamformer and 0.1-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> GaAs low-noise amplifiers (LNAs) based on the fan-out wafer-level chip-scale packaging (WLCSP) technology. For the power-efficient RX implementation, the power consumption of gain and phase tuning blocks is discussed, and the fully passive phase shifter (PS) and attenuator (ATT) are employed in this work. A global biasing scheme is proposed to ensure performance uniformity across temperature variations. Across the SATCOM band of 17.7–20.2 GHz, the proposed hybrid-packaged phased-array RX IC only consumes 30.2-mW dc power per channel and achieves < 1.2-dB gain variation and < 0.9-dB NF variation from −40° to 85 °C. Based on the RX IC, a dual-polarized 1024-element RX antenna array is further introduced. The measured gain-to-noise temperature ratios (G/Ts) are 6.22 and 6.51 dB/K at 19.7 GHz for left- and right-hand circular polarizations, respectively.
Latent syndemic profiles among sexual and gender minority college students and psychological distress amid the COVID-19 pandemic

Abstract Sexual and gender minority (SGM) college students experience compounding psychological effects as a result of the COVID-19 pandemic. Using latent profile analysis of cross-sectional data from a sample of SGM students (n = 565) we tested for a syndemic of victimization, internalized LGBTQ + stigma, racism, racialized heterosexism/cisgenderism, family rejection, and isolation associated with psychological distress. We also tested if increases in these factors since the start of the COVID-19 pandemic were associated with greater psychological distress among syndemic profiles. We identified four profiles: ‘Lowest syndemic factors’ (reference), ‘High isolation only’, ‘High isolation and rejection only’, and ‘High syndemic’. The greatest distress was observed among the ‘High syndemic’ profile (aPR = 2.99, 95% CI 2.20, 4.06), followed by the ‘High isolation and rejection only’ profile (aPR = 2.11, 95% CI 1.61, 2.76), and the ‘High isolation only’ profile (aPR = 1.32, 95% CI 1.03, 1.70). Among the ‘High syndemic profile’, increases in every factor since the start of the COVID-19 pandemic were associated with greater psychological distress. The strongest associations were seen among increased victimization (aPR = 5.85, 95% CI 1.33, 25.71). Victimization, internalized LGBTQ + stigma, racism, family rejection, and isolation form a syndemic among SGM students, which has magnified since the start of the COVID-19 pandemic.
Spatial-spectral dual path hyperspectral image super-resolution reconstruction network based on spectral response functions

Abstract Recently, hyperspectral image (HSI) super-resolution (SR) techniques based on deep learning have been actively developed. However, most hyperspectral image super-resolution reconstruction methods usually use all spectral bands simultaneously, leading to a mismatch of spectral properties between reconstructed HSI bands. Therefore, we proposed a new method of spatial-spectral dual path residual network (SGDPRN) based on spectral response function (SRF) to address the above problem. The SGDPRN is composed of the SRF guided grouping part, the spatial-spectral feature extraction part, and the final reconstruction part. Firstly, the reconstructed features for different spectral ranges are identified separately using SRF as a guide. Then, based on the grouping results, a spatial-spectral dual-path residual block is used to explore the spatial and spectral features by the designed parallel structure simultaneously. The spatial path is designed to extract sharp edges and realistic textures, and the spectral path is designed to model inter-spectral correlations to refine spectral features. At last, the third block of SGDPRN concatenates features of all groups and finishes the reconstruction of HSISR. QUST-1 satellite images have been applied in experiments, and the results showed that SGDPRN produced a higher peak signal to noise ratio, structural similarity metric, correlation coefficient, and lower spectral angle mapper, root mean square error than the other methods. This demonstrates that our method can effectively maintain the correlation of spectral bands while improving the spatial resolution.
On Generalizations of the Initial and Terminal Value Theorems.

The Initial and Terminal Value Theorems provide information about the limiting values of applications whose Laplace Transform is known. Such theorems, in addition to being relevant in their original form, are susceptible to generalizations that are also important. This article demon-strates the Initial and Terminal Value Theorems and their generalizations, studying these results for possible applications in Engineering and Physics. The novelty of this study is mainly in the presentation of the results. Despite being a review article, it presents proofs of theorems that are uncommon to be found in the literature. Therefore, this work contributes in the form of a complementary material for the study of the Laplace Transform and its applications.
A MODULAR AND LOW-COST PORTABLE VSLAM SYSTEM FOR REAL-TIME 3D MAPPING: FROM INDOOR AND OUTDOOR SPACES TO UNDERWATER ENVIRONMENTS

Abstract. The bond with computer vision and robotics is revolutionizing the traditional surveying approaches. Algorithms such as visual odometry and SLAM are embedded in surveying systems to make on-site and processing operations more efficient both in terms of time and quality of the achieved results. In this paper, we present the latest developments on GuPho, a mobile mapping concept based on photogrammetry that leverages a vSLAM solution to provide innovative and unique features supporting the image acquisition and optimising the processing steps. These include visual feedback on ground sample distance and maximum allowed speed to avoid motion blur. Two efficient image acquisition strategies, based on geometric principles, are implemented to optimise the disk storage, avoiding unnecessary redundancy. Moreover, an innovative automatic exposure control that adjusts the shutter speed or gain based on the tracked object in 3D is part of the system. The paper reports the motivations behind the design choices, details the hardware and software components, discusses several case studies to showcase the potentialities of our low-cost, lightweight, and portable modular prototype system.
Neutron Bragg-edge-imaging for strain mapping under in situ tensile loading

Wavelength selective neutron radiography at a cold neutron reactor source was used to measure strain and determine (residual) stresses in a steel sample under plane stress conditions. We present a new technique that uses an energy-resolved neutron imaging system based on a double crystal monochromator and is equipped with a specially developed (in situ) biaxial load frame to perform Bragg edge based transmission imaging. The neutron imaging technique provides a viewing area of 7 cm by 7 cm with a spatial resolution on the order of ∼ 100 μm. The stress-induced shifts of the Bragg edge corresponding to the (110) lattice plane were resolved spatially for a ferritic steel alloy A36 (ASTM international) sample. Furthermore it is demonstrated that results agree with comparative data obtained using neutron diffraction and resistance based strain-gauge rosettes.
Multimode threshold and bipolar resistive switching in bi-layered Pt-Fe2O3 core-shell and Fe2O3 nanoparticle assembly

The bias-polarity dependent multimode threshold and bipolar resistive switching characteristics in bi-layered Pt-Fe2O3 core-shell and γ-Fe2O3 nanoparticles assembly were investigated. The Ti/Pt-Fe2O3-core-shell-nanoparticles (∼20 nm)/γ-Fe2O3-nanoparticles (∼40 nm)/Pt structure exhibited a threshold switching upon applying −V at Ti electrode. However, the filaments were formed at +V and subsequently ruptured at −V, featured to be bipolar switching. After rupturing filaments, it returned to threshold switching mode. The presence of core-shell nanoparticles facilitates the threshold switching either by temporary formation of filaments or enhanced charge transport. Also, the oxygen reservoir role of Ti electrode was essential to form stable filaments for bipolar switching.
Carbon and oxygen dual-isotopes in tree rings indicate alternative physiological responses opted by European beech trees to survive drought stress

ABSTRACT Poor drought tolerance of European beech trees raised concerns in Europe. We hypothesized that beech could show an opposite physiological response to the same level of climatic drought with change in edaphic drought. We performed a combined analysis of δ13C and δ18O in tree rings to reveal retrospective temporal physiological responses of trees to drought. The edaphic drought was assessed by quantifying the capacity of soil to store water in plots (classified as “dry” and “less-dry”) near the drought limit of the species in three near-natural oak-beech ecotones in Germany and Switzerland. Neighbourhood competition was quantified. A climatic drought index was calculated from meteorological records and related to the δ13C and δ18O values of the trees. Trees from dry plots showed a higher response to drought and climatic dependency than less-dry plots. Neighbourhood competetion increased δ18O values significantly. Dual isotope analysis shows a tendency of greater stomatal resistance in dry plots and higher stomatal conductance in less-dry plots. We conclude that beech trees belonging to the same population under changing soil water availability can show different physiological responses under climatic drought stress. Our finding indicates the high plasticity of the beech trees to survive drought stress with changing site conditions.
Rectangular Cylinders in Flows with Harmonic Perturbations

The effects of small amplitude harmonic perturbations on the pressure coefficients and wake development behind rectangular cylinders are examined. Two body configurations with slenderness ratios (streamwise body dimension/transverse body dimension) of B/D=0.5 and 2.0 are used. For the B/D=0.5 body, with the pulsation frequency equal to twice or four times the natural shedding frequency, and with amplitudes of the order of 1% of the freestream velocity, the mean base pressure shows a decrease of up to 18% when compared with its value in steady flow. Flow visualization shows this decrease in mean base pressure to be associated with increased vortex strength, decreased vortex formation length, and the corresponding increase in shear layer curvature. When the perturbation amplitude exceeds an undetermined threshold value at a frequency corresponding to four times the natural shedding frequency, two vortices are shed simultaneously and symmetrically with respect to the body centerline. For the B/D=2.0 body, th.