Miracle-dz/UniFAR-FTUs huggingface dataset:
FACTORS INFLUENCING ONLINE SHOPPING INTENTION: AN EXTENSION OF THE TECHNOLOGY ACCEPTANCE MODEL

The aim of this research is to discuss and test the effect of the factors on Vietnamese consumers’ online shopping intention based on the technology acceptance model. The questionnaire was sent directly to the respondents and through the Internet. After 5 months collecting, there were 423 valid replies being analyzed. The data were analyzed in accordance with the process from EFA to Cronbach's Alpha and multiple regression technique. The results showed that perceived usefulness, perceived ease of use and trust had a positive effect on consumers’ online shopping intention, while the factor of perceived risk had a negative effect on consumers’ online shopping intention.
Long-term clinical outcome of elderly patients with acute coronary syndrome treated with early percutaneous coronary intervention

Nammas , W , de Belder , A , Niemela , M , Sia , J , Romppanen , H , Laine , M & Karjalainen , P P 2017 , ' Long-term clinical outcome of elderly patients with acute coronary syndrome treated with early percutaneous coronary intervention : Insights from the BASE ACS randomized controlled trial Bioactive versus everolimus-eluting stents in elderly patients ' , European Journal of Internal Medicine , vol. 37 , pp. 43-48 . https://doi.org/10.1016/j.ejim. 2016.07. 027
1 8 A pr 2 01 9 Hamiltonicity in random graphs is born resilient

Let {GM}M≥0 be the random graph process, where G0 is the empty graph on n vertices and subsequent graphs in the sequence are obtained by adding a new edge uniformly at random. For each ε > 0, we show that, almost surely, any graph GM with minimum degree at least 2 is not only Hamiltonian (as shown independently by Bollobás, and Ajtai, Komlós and Szemerédi), but remains Hamiltonian despite the removal of any set of edges, as long as at most (1/2−ε) of the edges incident to each vertex are removed. We say that such a graph is (1/2−ε)-resiliently Hamiltonian. Furthermore, for each ε > 0, we show that, almost surely, each graph GM is not (1/2 + ε)-resiliently Hamiltonian. These results strengthen those by Lee and Sudakov on the likely resilience of Hamiltonicity in the binomial random graph. For each k, we denote by G the (possibly empty) maximal subgraph with minimum degree at least k of a graph G. That is, the k-core of G. Krivelevich, Lubetzky and Sudakov have shown that, for each k ≥ 15, in almost every random graph process {GM}M≥0, every non-empty k-core is Hamiltonian. We show that, for each ε > 0 and k ≥ k0(ε), in almost every random graph process {GM}M≥0, every non-empty k-core is (1/2− ε)-resiliently Hamiltonian, but not (1/2 + ε)-resiliently Hamiltonian. Results on resilience of Hamiltonicity in the random graph process have been independently shown by Nenadov, Steger and Trujić.
SCHOOL OF NURSING AND MIDWIFERY

Professional integrity is fundamental to nursing and midwifery practice and aligns with teaching and learning on academic integrity in the School of Nursing and Midwifery. In their commencing year, nursing students complete the ‘core’ units 401205 Professional Communication in Nursing in Autumn semester and 401007 Approaches to Professional Nursing Practice in Spring semester. These units are part of their first year 'transition' to university studies and include “scaffolded” assessments.
Perceptions of students in different phases of medical education of the educational environment : Universiti sultan

License. The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. Permissions beyond the scope of the License are administered by Dove Medical Press Limited. Information on how to request permission may be found at: http://www.dovepress. com/permissions.php Advances in Medical Education and Practice 2015:6 211–222 Advances in Medical Education and Practice Dovepress
The Role of Classroom Resources and National Educational Context in Student Learning Gains: Comparing Botswana, Kenya, and South Africa

We take an innovative approach to estimating student mathematics learning in the sixth grade of three African countries. The study reinforces the notion that beyond the quality of the teaching process in classrooms, national contextual factors are important in understanding the contribution that schooling makes to student performance. Our approach enhances more typical cross-sectional production function estimates in three ways: (1) to respond to critiques that production function estimates usually do not include classroom processes, we measure both teacher characteristics and teaching process variables and include them in the model; (2) to more clearly identify student learning with schooling processes, we estimate the gain in learning associated with a student’s exposure to teaching characteristics and processes during the sixth-grade academic year in each country; and (3) to begin to address the issue of possible “national institutional factors” influencing student achievement, we use a comparative approach to approximate and initiate discussion of “country fixed effects. ”
P o S ( I D M 2 0 1 0 ) 0 6 0 Indirect searches of dark matter

If dark matter decays or annihilates into electrons and posi trons, it can affect radiation and cosmicray backgrounds. We review a novel, more general analysis of constraints on decaying dark matter models, by introducing the response functions based on the c urr nt radio, gamma-ray and positron observations. Constraints can be simply obtained by requir ing the convolution of the response functions with actual decay spectrum of electrons and posit rons smaller than the product of decay lifetime in 1026s and mass in 100GeV. The response functions just depend on th e as rophysical inputs such as the propagation model, but not on the microsco pic decay scenario. Moreover, a anisotropy analysis of the full-sky radio emiss ion to identify the extragalactic dark matter annihilation is shown. We discuss the angular power s p ctra of the cosmological synchrotron emission from dark matter annihilations into elec tron positron pairs and compare them with astrophysical backgrounds and Galactic foregrounds. We find that the angular power spectrum of radio fluxes at around GHz frequencies and in the range of 200<∼ l <∼ 3000 opens a optimal window to disentangle the dark matter signals from common as trophysical backgrounds.
Does Uncertainty Affect Investment and Labor Demand

This paper analyzes the effect of uncertainty on investment and labor demand for Finnish firms during the time period 1987 – 2000. Utilizing a stock return based measure of uncertainty decomposed into systematic and idiosyncratic components, the results reveal that idiosyncratic uncertainty significantly reduces both investment and labor demand. Idiosyncratic uncertainty seems to influence investment in the current period, whereas the depressing effect on labor demand appears with a one-year lag. The results provide support that the depressing effect of idiosyncratic uncertainty on investment is stronger for small firms in comparison to large firms. Some evidence is reported regarding differential effects of uncertainty on labor demand conditional on firm characteristics. Most importantly, the depressing effect of lagged idiosyncratic uncertainty on labor demand tends to be stronger for diversified firms compared with focused firms.
INPE-11283-PRE / 6720 THIRD-BODY PERTURBATION USING A SINGLE AVERAGED MODEL

Several papers studied the effect of the third body perturbation in a spacecrafts, usually working with the Hamiltonian of the system or with the disturbing function expressed in an analytic manner. The present paper has the goal of developing a semi-analytical study of the perturbation caused in a spacecraft by a third body with a single averaged model to eliminate the terms due to the short time periodic motion of the spacecraft. Several plots will show the time histories of the Keplerian elements of the orbits involved. One of the most important applications is to calculate the effect of Lunar and Solar perturbations on high-altitude Earth satellites. INTRODUCTION The effects of the gravitational attractions of the Sun and the Moon in the orbits of Earth’s artificial satellites have been studied in many papers. Kozai [13] writes down Lagrange’s planetary equations and the disturbing function due to the Sun or the Moon, including both secular and long periodic terms, but it only gives explicit expressions for the secular terms. Blitzer [8] ignores the specialized techniques of celestial mechanics and it obtains estimates for the perturbations by using methods of classical mechanics. Again, only secular terms are included, and it shows that the principal effect is a precession of the orbital plane around the pole of the ecliptic. Musen [11] shows two systems of formulas for the determination of the long periodic perturbations. The first system uses the theory originally developed by Gauss for a numerical treatment of the very long periodic effects in planetary motion, and the second method is based on the development of the disturbing function in terms of the Legendre polynomials and it finds long periodic terms and the influence on the stability of the orbit. Cook [5] studied the perturbations due solely by a third body from Lagrange’s planetary equations by integrating over one revolution of the satellite. The rates of change of the orbital elements averaged ADVANCES IN SPACE DYNAMICS 4: CELESTIAL MECHANICS AND ASTRONAUTICS, H. K. Kuga, Editor, 47-56 (2004). Instituto Nacional de Pesquisas Espaciais – INPE, São José dos Campos, SP, Brazil. ISBN 85-17-00012-9
Relationship Between Crude Oil Prices And Economic Growth In Selected OPEC Countries

The aim of this study is to examine the degree of interdependence between oil prices and economic activity growth for four major countries (United Arab Emirates, Kuwait, Saudi Arabia, and Venezuela) in the Organization of the Petroleum Exporting Countries (OPEC) over the period from 3 September 2000 to 3 December 2010. We propose the frequency approach of Priestley and Tong (1973), which is the evolutionary co-spectral analysis. This method offers a time-varying dynamic correlation measure for different horizons, short-run and medium-run. To complete our study by analyzing long-run dependence, we use the cointegration procedure developed by Engle and Granger (1987). We show that oil price shocks in periods during period of fluctuations in the global business cycle and/or financial turmoil affect the relationship between oil and economic growth in OPEC countries.
Serum cortisol in patients with schizophrenia:association with psychopathology and response toantipsychotics

Background: Previous studies suggested that alterations in serum cortisol levels may play a role in the pathophysiology of schizophrenia. Imbalance in serum cortisol levels may be related to responsivity to antipsychotic treatment. Aim: To compare serum cortisol levels between patients with schizophrenia and healthy controls and to evaluate hormone association with psychopathology and response to antipsychotics in patients with schizophrenia. Material and Methods: This clinical prospective study included 60 patients with schizophrenia and 40 healthy age and sex matched controls. All patients experienced an acute exacerbation of the illness (PANSS: P1 and P3 ≥ 4). Clinical evaluation of patients was performed using the Positive and Negative Symptom Scale. A questionnaire for socio-demographic and clinical data collection was used. For the purposes of the study, the examined group was divided in two subgroups: responders and nonresponders. Serum cortisol and DHEA-S levels were measured at baseline in all participants and after 3 and 6 weeks of the antipsychotic treatment in patients with schizophrenia. Results: Patients with schizophrenia had significantly higher serum cortisol levels compared with control group. Responders had significantly higher serum cortisol levels compared with nonresponders. From the three analyzed factors (serum cortisol, DHEA-S and cortisol/DHEA-S ratio), only serum cortisol was significant factor for antipsychotic treatment response. Responders group had significant correlation between serum cortisol and PANSS positive scale score. Conclusion: Elevated serum cortisol levels may be considered as a biomarker for the diagnosis of schizophrenia and may be used as a significant predictor for positive response to antipsychotic treatment in schizophrenia patients with acute exacerbation. Serum cortisol levels are associated with severity of specific symptoms in patients with schizophrenia according to their responsivity to antipsychotic treatment.
The Historical Significance of Economic Voting, 1872–1996

Ever since the publication of Voting (Berelson et al. 1954), individual-level electoral studies have underscored the predictive utility of attitudes on voting behavior. More recently, developments in social psychology have led political scientists to examine closely the process by which attitudes guide behavior (Fazio 1986; Aldrich et al. 1989). Findings in this research generally suggest that attitudes must be available and accessible if they are to exert any influence on perceptions, judgments, or behavior.
The Determinants of Capital Structure: An Empirical Investigation of Malaysian Listed Government Linked Companies

In this study, we explore how the debt equity choices of Listed Malaysian Government linked Companies (GLCs) are influenced by the firm specific characteristics and macroeconomic variables using a sample of 13 GLCs from 1997 to 2009. Two elements of leverage, book value of total debt ratio (BVTDR) and long term debt ratio (BVLTDR), were used to check for any significant changes in corporate financing and found mixed results. Tangibility and firm size are the most significant variables to determine the corporate financing of GLCs. Liquidity and interest rate are negatively significant with BVTDR and BVLTDR, respectively.The study concluded that profitability is inconsequential in determining corporate financing; inconsistent with the findings of previous Malaysian studies. With the proper design of capital structure and intervention from the government, the study also concludes that GLCs are rely less on leverage to support their investment activities.
Toll-like Receptor 9–mediated Recognition of Herpes Simplex Virus-2 by Plasmacytoid Dendritic Cells

Plasmacytoid dendritic cells (pDCs) have been identified as a potent secretor of the type I interferons (IFNs) in response to CpG as well as several viruses. In this study, we examined the molecular mechanism of virus recognition by pDCs. First, we demonstrated that the CD11c+Gr-1intB220+ pDCs from mouse bone marrow secreted high levels of IFN-α in response to either live or UV-inactivated Herpes simplex virus-2 (HSV-2). Next, we identified that IFN-α secretion by pDCs required the expression of the adaptor molecule MyD88, suggesting the involvement of a Toll-like receptor (TLR) in HSV-2 recognition. To test whether a TLR mediates HSV-2–induced IFN-α secretion from pDCs, various knockout mice were examined. These experiments revealed a clear requirement for TLR9 in this process. Further, we demonstrated that purified HSV-2 DNA can trigger IFN-α secretion from pDCs and that inhibitory CpG oligonucleotide treatment diminished HSV-induced IFN-α secretion by pDCs in a dose-dependent manner. The recognition of HSV-2 by TLR9 was mediated through an endocytic pathway that was inhibited by chloroquine or bafilomycin A1. The strict requirement for TLR9 in IFN-α secretion was further confirmed by the inoculation of HSV-2 in vivo. Therefore, these results demonstrate a novel mechanism whereby the genomic DNA of a virus can engage TLR9 and result in the secretion of IFN-α by pDCs.
IMPACT OF BANKING CONSOLIDATION ON THE PERFORMANCE OF THE BANKING SECTOR IN NIGERIA

Following the consolidation of the Nigerian banking sector in 2005, to among other things, develop a strong and reliable banking sector capable of supporting the development of the domestic economy, this paper examines the performance of the programme by comparing the pre- and post-consolidation performance of the sector. Two independent samples representing the 9-year period preceding the 2005 banking consolidation exercise and the corresponding 9-year post consolidation period were analyzed. Performance assessment indicators analyzed in the study are non-performing loans ratio (asset quality), return on assets (earnings/profitability), capital adequacy ratio (long-term liquidity) liquidity ratio (short-term liquidity), bank loans and advances ratio (credit delivery) and bank assets ratio (bank size). Levene's independent sample t-test was used to determine evidence of significant difference in banking sector performance between the pre- and post-consolidation periods. At 5 per cent level of significance, the study shows evidence of significant differences in asset quality, capital adequacy ratio and loans and advances ratio. However, there is no evidence that return on assets, liquidity ratio and bank asset ratio differ significantly between the pre- and post- consolidation periods. Based on the above results, we conclude that banking consolidation significantly impacted on banking sector performance in Nigeria. We therefore recommend introduction of adequate regulatory measures, by the relevant authorities, in the sector as well as implementation of robust human capital development initiatives as imperatives for nurturing and sustaining the gains of the exercise.
Urban 3 D segmentation and modelling from street view images and LiDAR point clouds

3D urban maps with semantic labels and metric information are not only essential for the next generation robots such autonomous vehicles and city drones, but also help to visualize and augment local environment in mobile user applications. The machine vision challenge is to generate accurate urban maps from existing data with minimal manual annotation. In this work, we propose a novel methodology that takes GPS registered LiDAR (Light Detection And Ranging) point clouds and street view images as inputs and creates semantic labels for the 3D points clouds using a hybrid of rule-based parsing and learning-based labelling that combine point cloud and photometric features. The rule-based parsing boosts segmentation of simple and large structures such as street surfaces and building facades that span almost 75% of the point cloud data. For more complex structures, such as cars, trees and pedestrians, we adopt boosted decision trees that exploit both structure (LiDAR) and photometric (street view) features. We provide qualitative examples of our methodology in 3D visualization where we construct parametric graphical models from labelled data and in 2D image segmentation where 3D labels are back projected to the street view images. In quantitative evaluation we report classification accuracy and computing times B Pouria Babahajiani pouria.babahajiani. ext@nokia.com Lixin Fan Lixin.Fan@nokia.com Joni-Kristian Kämäräinen joni.kamarainen@tut.fi Moncef Gabbouj Moncef.Gabbouj@tut.fi 1 Nokia Technologies, Tampere, Finland 2 Department of Signal Processing, Tampere University of Technology, Tampere, Finland and compare results to competing methods with three popular databases: NAVTEQ True, Paris-Rue-Madame and TLS (terrestrial laser scanned) Velodyne.
The JCMT Gould Belt survey : a first look at dense cores in Orion B Journal Item

We present a first look at the SCUBA-2 observations of three sub-regions of the OrionB molecular cloud: LDN1622, NGC2023/2024, and NGC2068/2071, from the JCMT Gould Belt Legacy Survey. We identify 29, 564, and 322 dense cores in L1622, NGC2023/2024, and NGC2068/2071 respectively, using the SCUBA-2 850 μm map, and present their basic properties, including their peak fluxes, total fluxes, and sizes, and an estimate of the corresponding 450 μm peak fluxes and total fluxes, using the FellWalker source extraction algorithm. Assuming a constant temperature of 20 K, the starless dense cores have a mass function similar to that found in previous dense core analyses, with a Salpeter-like slope at the high-mass end. The majority of cores appear stable to gravitational collapse when considering only thermal pressure; indeed, most of the cores which have masses above the thermal Jeans mass are already associated with at least one protostar. At higher cloud column densities, above 1–2×10 cm, most of the mass is found within dense cores, while at lower cloud column densities, below 1×10 cm, this fraction drops to 10% or lower. Overall, the fraction of dense cores associated with a protostar is quite small (<8%), but becomes larger for the densest and most centrally concentrated cores. NGC2023/2024 and NGC2068/2071 appear to be on the path to forming a significant number of stars in the future, while L1622 has little additional mass in dense cores to form many new stars.
Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices

A recent trend in deep neural network (DNN) development is to extend the reach of deep learning applications to platforms that are more resource and energy-constrained, e.g., mobile devices. These endeavors aim to reduce the DNN model size and improve the hardware processing efficiency and have resulted in DNNs that are much more compact in their structures and/or have high data sparsity. These compact or sparse models are different from the traditional large ones in that there is much more variation in their layer shapes and sizes and often require specialized hardware to exploit sparsity for performance improvement. Therefore, many DNN accelerators designed for large DNNs do not perform well on these models. In this paper, we present Eyeriss v2, a DNN accelerator architecture designed for running compact and sparse DNNs. To deal with the widely varying layer shapes and sizes, it introduces a highly flexible on-chip network, called hierarchical mesh, that can adapt to the different amounts of data reuse and bandwidth requirements of different data types, which improves the utilization of the computation resources. Furthermore, Eyeriss v2 can process sparse data directly in the compressed domain for both weights and activations and therefore is able to improve both processing speed and energy efficiency with sparse models. Overall, with sparse MobileNet, Eyeriss v2 in a 65-nm CMOS process achieves a throughput of 1470.6 inferences/s and 2560.3 inferences/J at a batch size of 1, which is $12.6\times $ faster and $2.5\times $ more energy-efficient than the original Eyeriss running MobileNet.
SORGHUM RESEARCH AND POVERTY REDUCTION IN THE PRESENCE OF TRADE DISTORTION IN ETHIOPIA

This research was conducted to evaluate the impact of innovations to improve the yield and nutrition of sorghum varieties in Ethiopia. Importantly, we used an economic model to account for the market impacts of the innovation. Household data on the previous adoption of improved varieties were used to assess the likely impact on individual households and on overall poverty reduction. Our study also accounts for trade distortions in the market. Sorghum prices in Ethiopia are depressed by trade policies such as export restrictions, product subsidies and food aid, similar to agricultural commodities in many other developing countries. We considered the example of a current programme focused on sorghum innovation and estimate an expected rate of return of about 21%. Our results also indicate that the benefits of the programme would be larger if trade distortions were eliminated.