Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of Students' Satisfaction of Facility Service Quality in Private Universities

Through globalization, the demand for high-quality education is increasing significantly, leading to rising competition among universities and colleges for enhancing educational services and attracting more students to enroll. Meanwhile, students are always looking for and demanding the most proper environments to experience education and have the foundation to find a job after graduation. This need leads to the tendency that education becomes a service that benefits both private education enterprises and their potential customers. Nevertheless, the private institutions might not have the reputation and sponsorship from the government as public universities. Therefore, the importance of studying the determinants of student satisfaction with the quality of services provided is increasingly essential and required for private educational institutions. This research aims to propose a research model in calculating the level of student satisfaction with the facility service quality in private institutions. This study was conducted using a questionnaire to survey 221 students of the FPT University Da Nang campus in the Fall semester of 2020. This research attempts to examine the relationship between facility service quality and student satisfaction, along with investigating the key factors in the aspects of service quality that contribute significantly to student satisfaction. The findings of this study identify the factors and the impact degree of these factors on student satisfaction of facility service quality in private universities.
Preconditioning of a coupled Cahn--Hilliard Navier--Stokes system

Recently, Garcke et al.[Garcke, Hinze, Kahle, A stable and linear time discretization for a thermodynamically consistent model for two-phase incompressible flow, Applied Numerical Mathematics 99, pp. 151-171, 2016] developed a consistent discretization scheme for a thermodynamically consistent diffuse interface model for incompressible two-phase flows with different densities. At the heart of this method lies the solution of large and sparse linear systems that arise in a semismooth Newton method. We propose the use of preconditioned Krylov subspace solvers using effective Schur complement approximations. Numerical results illustrate the efficiency of our approach. In particular, our preconditioner is shown to be robust with respect to parameter changes.
Electrical field sensitive high-Tsub(C) Ybco detector for real-time Observation of CSR

High-Tc thin-film YBa2Cu3O7-x (YBCO) detectors were deployed for the real-time observation of Coherent Synchrotron Radiation (CSR). Due to enhanced fabrication techniques enabling the patterning of sub-μm sized detector areas responsivity values as high as 1V/pJ for pulsed THz excitations have been achieved at the ANKA synchrotron facility at the Karlsruhe Institute of Technology (KIT). Response of the detectors is linear over the whole dynamic range of the IR1 beamline. Combining the picosecond scaled response mechanism of the high-temperature superconductor YBa2Cu3O7-x (YBCO) to THz excitations with broad-band readout a temporal resolution of 15 ps full width at half maximum (FWHM) was reached. Real-time resolution of CSR single shots was observed at ANKA and UVSOR-III, the synchrotron facility of the Institute of Molecular Science in Okazaki, Japan.
NHK STRL at TREC 2018 Incident Streams track

We describe NHK STRL’s models for the TREC 2018 Incident Streams track. The goal of this track is classifying incident related Tweets into information types such as Infor-mationWanted and EmergingThreats . The number of provided pieces of training data is about 2,000, which is not enough for current machine learning methods. We propose two models to overcome this small amount of data scenario: a knowledge base-based model and a model that considers meta-information. In addition, we used two bag-of-words baseline models, a multi-layer perceptron-based one and a support vector machine-based one, for comparison. Evaluation results show that our models can classify Tweets with a rather high F1 score.
Conceptualizing the Effect of Cultural Distance on IT Outsourcing Success

The relationship quality between client and vendor organizations is one of the most significant influence factors for IT outsourcing success. In this context, the degree of dissimilarity between cultural values of two or more organizations (“cultural distance”) can represent a considerable challenge for establishing and maintaining good-quality relationships. Still, research on cultural distance and its effects is scarce. This paper seeks to address this gap. Building on extant theory on culture and IT outsourcing, we develop a research model which we are currently evaluating. This is done by means of an exploratory, qualitative research design based on an in-depth single case study that analyzes three outsourcing configurations of a leading European media company. Their diversity allows for a detailed examination of cultural distance on the national, organizational, and team level. Given its highly relevant characteristics, we expect our research to yield valuable contributions for both theory and practice.
Reconstruction 3D de scènes dynamiques par segmentation au sens du mouvement

L'objectif de ce travail est de reconstruire les parties sta-tiques et dynamiques d'une scene 3D a l'aide d'un robot mobile equipe d'un capteur 3D. Cette reconstruction ne-cessite la classification des points 3D acquis au cours du temps en point fixe et point mobile independamment du de-placement du robot. Notre methode de segmentation utilise directement les donnees 3D et etudie les mouvements des objets dans la scene sans hypothese prealable. Nous deve-loppons un algorithme complet reconstruisant les parties fixes de la scene a chaque acquisition a l'aide d'un RAN-SAC qui ne requiert que 3 points pour recaler les nuages de points. La methode a ete experimentee sur de larges scenes en exterieur. Par ailleurs, nous montrons sur les sequences tests KITTI que la prise en compte des donnees 3D per-met d'ameliorer les approches 2D en levant les ambiguites dues a la perte d'une dimension dans les images. Mots-Clefs Estimation de pose, reconstruction 3D, SfM, segmentation au sens du mouvement.
Abstract Word segmentation using grouped semantic networks

Word segmentation using grouped semantic networks Misha Schwartz Masters Graduate Department of Computer Science University of Toronto 2018 This paper introduces the WuGS (Word segmentation using Grouped Semantic networks) algorithm for training word segmentation models that use parallel translated corpora to infer semantic and morphological similarities between words. These similarities are used to break down the words of a language into morphemes, the minimally semantically significant component parts of a language. The WuGS algorithm builds models in the form of grouped semantic networks which allows for the classification of words according to shared root morphemes in a way that respects allomorphy. We evaluate these models on three languages and show that these models perform on par with two existing baseline models and that parallel corpora are a good source of semantic data for this task. We also show that a reliance on semantic data results in an overly conservative approach to morphological segmentation.
Randomised controlled clinical study to evaluate the efficacy of IV injection of caroverine and intratympanic steroid injection in the treatment of cochlear synaptic tinnitus with sensorineural hearing loss

Background: Cochlear synaptic tinnitus with sensorineural hearing loss (SNHL) is the most common type of subjective tinnitus. Many therapies were tried, but nothing is well proven to cure this. Hence, our present study aims to assess the efficacy of intravenous (IV) injection of caroverine and intratympanic steroid injection in treatment of cochlear synaptic tinnitus with SNHL.Methods: This study was carried out at the ear, nose and throat (ENT) department with 60 patients (22 male, 38 female) between the ages of 20 and 70 who had idiopathic tinnitus. Patients who met inclusion criteria were randomized by simple randomization and divided into two groups. The study group receives intratympanic dexamethasone, twice weekly for total three weeks and stat dose of IV caroverine. The control group receives an intratympanic isotonic solution with an IV caroverine placebo. Tinnitus handicap index (THI) score and pure tone averages (PTA) were done before treatment and in the first week, first month, and six months after completing the study protocol. Results: In the study group, pre-treatment results, and post-treatment first, sixth month THI scores, PTA results were different to a significant extent, whereas in the control group, the same scores were not different significantly. The THI scores between the groups revealed considerably lower scores in the first and six months for the study group. Successful treatment was defined as a decrease in PTA by 10 dB or more after six months.Conclusions: The effect of the intratympanic injection of dexamethasone along with IV injection of caroverine on the efficacy of treatment of tinnitus severity and improving hearing was statistically significant.
Diagnosis of Diabetes Mellitus in Women of Reproductive Age using the Prediction Methods of Naive Bayes, Discriminant Analysis, and Logistic Regression

Diabetes is a chronic disease that can cause serious illness. Women are four times more likely to develop heart problems caused by diabetes. Women are also more prone to experience complications due to diabetes, such as kidney problems, depression, and decreased vision quality. Nearly 200 million women worldwide are affected by diabetes, with two out of five affected by the disease being women of reproductive age. This paper aims to predict women with at least 21 years of age having diabetes based on eight diagnostic measurements using the statistical learning methods; Multinomial Naive Bayes, Fisher Discriminant Analysis, and Logistic Regression. Model validation is built based on dividing the data into training data and test data based on 5-fold cross-validation. The model validation performance shows that the Gaussian Naïve Bayes is the best method in predicting diabetes diagnosis. This paper’s contribution is that all performance measures of the Multinomial Naïve Bayes method have a value greater than 93 %. These results are beneficial in predicting diabetes status with the same explanatory variables.
Non-Farm Income as an Instrument for Doubling Farmers’ Income: Evidences from Longitudinal Household Survey

The study has analysed different sources of income for the rural households in Semi-Arid Tropic (SAT) region of India using the longitudinal household level data for the period 2009 to 2014. The results indicate that the share of non-farm income is substantial and increasing even for the large farm households. The non-farm income is imperative for the landless and smallholders. This paves the way for securing livelihood of landless and smallholder households by diversifying towards non-farm activities. The study has emphasized on higher agricultural credit and irrigation infrastructure for medium and large farmers. This will provide remunerative income opportunities from agriculture so that this group will continue to remain in farming activities which will help in increasing the agricultural production and will not jeopardize the ultimate goal of food security. Two important inferences drawn from the study are: (i) to make farming attractive enough, transformative changes are required, particularly for creating market for the produce, and (ii) adequate push is needed to promote secondary agriculture, like primary processing, value addition, etc. along with other non-farm activities in the rural areas.
Does Return Migration Affect Health Outcomes in Macedonia

The objective of the paper is twofold: i) to investigate if living and working abroad has a meaningful role to play for the health of the return migrant; and ii) to understand if there are any spillovers of return-migrant member onto health conditions of the family members left behind. To that end, we use the DoTM Migration Survey 2009, as well a propensity score matching to address selectivity on observables and IV for the selectivity on unobservables. We also pursue interviews to contextualize the return migration – health nexus. Results suggest that when equalized on observables, return migrants have better health than non-migrants. Though, the reverse causality channel (less healthy individuals are more inclined to return) works to attenuate the true effect of return migration on health. Results further suggest a positive spillover effect of return migration on the health of the family members left behind, being mainly driven by the work of remittances sent while abroad, and not the returned wealth or the health knowledge transfer.
The Effect of Gold Nanorods Clustering on Near-Infrared Radiation Absorption

In this paper, the plasmonic resonant absorption of gold nanorods (GNRs) and GNR solutions was studied both numerically and experimentally. The heat generation in clustered GNR solutions with various concentrations was measured by exposing them to Near Infrared (NIR) light in experiment. Correspondingly, calculations based on the discrete-dipole approximation (DDA) revealed the same relationship between the maximum absorption efficiency and the nanorod orientation for the incident radiation. Additionally, both the plasmonic wavelength and the maximum absorption efficiency of a single nanorod were found to increase linearly with increasing aspect ratio (for a fixed nanorod volume). The wavelength of the surface plasmonic resonance (SPR) was found to change when the gold nanorods were closely spaced. Specifically, both a shift and a broadening of the resonance peak were attained when the distance between the nanorods was set to about 50 nm or less. The absorbance spectra of suspended nanorods at various volume fractions also showed that the plasmonic wavelength of the nanorods solution was at 780 ± 10 nm, which was in good agreement with the computational predictions for coupled side-by-side nanorods. When heated by NIR light, the rate of increase for both the temperature of solution and the absorbed light diminished when the volume fraction of suspended nanorods reached a value of 1.24×10−6. This matches with expectations for a partially clustered suspension of nanorods in water. Overall, this study reveals that particle clustering should be considered to accurately gauge the heat generation of the GNR hyperthermia treatments.
Variability of Satellite Derived Phenological Parameters across Maize Producing Areas of South Africa

Changes in phenology can be used as a proxy to elucidate the short and long term trends in climate change and variability. Such phenological changes are driven by weather and climate as well as environmental and ecological factors. Climate change affects plant phenology largely during the vegetative and reproductive stages. The focus of this study was to investigate the changes in phenological parameters of maize as well as to assess their causal factors across the selected maize-producing Provinces (viz: North West, Free State, Mpumalanga and KwaZulu-Natal) of South Africa. For this purpose, five phenological parameters i.e., the length of season (LOS), start of season (SOS), end of season (EOS), position of peak value (POP), and position of trough value (POT) derived from the MODIS NDVI data (MOD13Q1) were analysed. In addition, climatic variables (Potential Evapotranspiration (PET), Precipitation (PRE), Maximum (TMX) and Minimum (TMN) Temperatures spanning from 2000 to 2015 were also analysed. Based on the results, the maize-producing Provinces considered exhibit a decreasing trend in NDVI values. The results further show that Mpumalanga and Free State Provinces have SOS and EOS in December and April respectively. In terms of the LOS, KwaZulu-Natal Province had the highest days (194), followed by Mpumalanga with 177 days, while North West and Free State Provinces had 149 and 148 days, respectively. Our results further demonstrate that the influences of climate variables on phenological parameters exhibit a strong space-time and common covariate dependence. For instance, TMN dominated in North West and Free State, PET and TMX are the main dominant factors in KwaZulu-Natal Province whereas PRE highly dominated in Mpumalanga. Furthermore, the result of the Partial Least Square Path Modeling (PLS-PM) analysis indicates that climatic variables predict about 46% of the variability of phenology indicators and about 63% of the variability of yield indicators for the entire study area. The goodness of fit index indicates that the model has a prediction power of 75% over the entire study area. This study contributes towards enhancing the knowledge of the dynamics in the phenological parameters and the results can assist farmers to make the necessary adjustment in order to have an optimal production and thereby enhance food security for both human and livestock.
Seasonal and diurnal fluctuations of coarse particulate organic matter transport in a snowmelt‐dominated stream

We measured coarse particulate organic matter (CPOM) transport along a wood‐rich, pool‐riffle mountain stream in the Southern Rockies of Colorado, USA, to examine how spatial variations in storage features and temporal variations in discharge influence the transport of CPOM. Ecologists have found that the majority of annual CPOM export occurs during periods of high discharge. More recently, geomorphologists have begun to examine the transport of CPOM as bedload. There has been, however, little direct sampling of CPOM to evaluate how shorter (diurnal) and longer (seasonal peak flow) variations in discharge affect CPOM transport, and no examination of where CPOM is transported in the water column (primarily in suspension or as bedload). We collected CPOM moving as bedload, in suspension (at 0.6 of the flow depth) and at the surface to evaluate CPOM transport processes. Samples were collected at three sites: (1) in the backwater pool upstream from a channel‐spanning logjam; (2) immediately downstream from the logjam; and (3) in a riffle about 10 bankfull‐channel‐widths downstream from any channel‐spanning logjams. During sample sets, we collected samples over 15‐min increments at approximately 4‐hr intervals over a 24‐hr period. Seven sample sets were distributed over a period of 2 months that spanned the rise, peak, and recession of the annual snowmelt flood. We found that the majority of CPOM is transported in suspension following a clockwise hysteresis loop in which CPOM peaks prior to discharge during the seasonal hydrograph.
Effects of dietary fatty acids and carbohydrates on the ratio of serum total to HDL cholesterol and on serum lipids and apolipoproteins : a meta-analysis of 60 controlled trials 1 – 3

Background: The effects of dietary fats on the risk of coronary artery disease (CAD) have traditionally been estimated from their effects on LDL cholesterol. Fats, however, also affect HDL cholesterol, and the ratio of total to HDL cholesterol is a more specific marker of CAD than is LDL cholesterol. Objective: The objective was to evaluate the effects of individual fatty acids on the ratis of total to HDL cholesterol and on serum lipoproteins. Design: We performed a meta-analysis of 60 selected trials and calculated the effects of the amount and type of fat on total:HDL cholesterol and on other lipids. Results: The ratio did not change if carbohydrates replaced saturated fatty acids, but it decreased if cis unsaturated fatty acids replaced saturated fatty acids. The effect on total:HDL cholesterol of replacing trans fatty acids with a mix of carbohydrates and cis unsaturated fatty acids was almost twice as large as that of replacing saturated fatty acids. Lauric acid greatly increased total cholesterol, but much of its effect was on HDL cholesterol. Consequently, oils rich in lauric acid decreased the ratio of total to HDL cholesterol. Myristic and palmitic acids had little effect on the ratio, and stearic acid reduced the ratio slightly. Replacing fats with carbohydrates increased fasting triacylglycerol concentrations. Conclusions: The effects of dietary fats on total:HDL cholesterol may differ markedly from their effects on LDL. The effects of fats on these risk markers should not in themselves be considered to reflect changes in risk but should be confirmed by prospective observational studies or clinical trials. By that standard, risk is reduced most effectively when trans fatty acids and saturated fatty acids are replaced with cis unsaturated fatty acids. The effects of carbohydrates and of lauric acid–rich fats on CAD risk remain uncertain. Am J Clin Nutr 2003;77:1146–55.
Multitarget Vital Signs Measurement With Chest Motion Imaging Based on MIMO Radar

Simultaneous multitarget vital signs measurement has become a hot issue for noncontact vital signs perception. However, there is still challenge in the multitarget heartbeat measurement due to the weakness of heartbeat signal and interference from complex environment. In this article, a new multiple-input–multiple-output (MIMO) continuous-wave (CW) radar system equipped with 2-D digital beamforming (DBF) is presented to measure the respiration and heartbeat of multiple human subjects at unknown positions simultaneously. Through 2-D beam scanning of the whole scene, a 2-D radar image is generated. From the image, the chest motion of multiple targets is accurately located. Then, the vital signs of targets are obtained through forming individual beams focusing on the chests of targets. Moreover, the low intermediate frequency (low-IF) architecture is adopted to minimize the impact of flicker noise in low-frequency amplifier stages. The experimental results demonstrate that the proposed MIMO 2-D imaging radar system can locate chest areas of multiple targets, suppress the clutters, and make vital signs measurement, heartbeat measurement in particular, more robust compared with single-input–multiple-output (SIMO) radar system in complex environment.
European High Frequency Radar network governance

This report describes the governance of the European HF radar network including: the landscape of the Ocean observation networks and infrastructures, the role and links between operators of observational systems and stakeholders, the role and activities of the EuroGOOS HF radar Task Team in building a sound community strategy, the roadmap of the community with current achievements and future work lines.