Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Affecting Purchase Intention towards Smartphone Brand: A Study on Bangladeshi Private University Students

In today’s technology based world, people are depending more and more on various technology devices. Smartphone is one of the most important devices people use mainly for communicating with others and some specific purposes. It is not an easy task to choose the right Smartphone for an individual’s needs when there are so many Smartphone brand available in the market. There are some critical factors affecting the individuals Smartphone purchase intention. This study aims to explore the factors that affect the purchase intention towards Smartphone brand. A structured questionnaire on 5-points Likert sclae was developed to collect data from 302 respondents who are studying in different private universities of Dhaka city in Bangladesh using convenient sampling method. Structural equation modeling was used to identify the significant factors affecting purchase intention towards Smartphone brand. Data was analyzed by using SmartPLS software. This study found that Price, Peer Influence and Product features are the factors highly significantly affect the purchase intention towards Smartphone Brand but not Brand Image. The findings of this research may help not only the private university students but also other consumers who intend to purchase Smartphone. Smartphone manufacturer also consider these factors for Bangladeshi market.
Unsupervised Multi-Modal Neural Machine Translation

Unsupervised neural machine translation (UNMT) has recently achieved remarkable results \cite{lample2018phrase} with only large monolingual corpora in each language. However, the uncertainty of associating target with source sentences makes UNMT theoretically an ill-posed problem. This work investigates the possibility of utilizing images for disambiguation to improve the performance of UNMT. Our assumption is intuitively based on the invariant property of image, i.e., the description of the same visual content by different languages should be approximately similar. We propose an unsupervised multi-modal machine translation (UMNMT) framework based on the language translation cycle consistency loss conditional on the image, targeting to learn the bidirectional multi-modal translation simultaneously. Through an alternate training between multi-modal and uni-modal, our inference model can translate with or without the image. On the widely used Multi30K dataset, the experimental results of our approach are significantly better than those of the text-only UNMT on the 2016 test dataset.
Fuchs' syndrome of heterochromic cyclitis in brown-eyed patients.

IN 19551 WE POINTED OUT THAT FUCHS' SYNDROME OF heterochromic cyclitis was seen frequently in our Uveitis Survey Clinic and often was unrecognized by the referring physician. All 23 cases reported were in patients with light colored irides with the involved hypochromic eye bluer than the uninvolved fellow eye. This syndrome in brown-eyed patients was not recognized in the absence of heterochromia. Most of the cases were probably misdiagnosed as unilateral chronic cyclitis or pars planitis, glaucomatocyclitic crisis, chronic unilateral iridocyclitis of unknown etiology, etc. That this syndrome was not recognized in brown-eyed patients is understandable, for the disease was initially described by Fuchs2 and others, all from Europe, in European patients with lighter colored irides. It has become evident in the past few years that Fuchs' syndrome of heterochromic cyclitis does occur in patients with brown irides without heterochromia. This report analyzes 11 cases that have been recognized in our Uveitis Survey Clinic, and in private patients over the past 2 years.
XML Schema Part 2: Datatypes Second Edition

An improved square tray structure in which a series of trays can be stacked one on top another when the trays are loaded, and which can be nested one within another when the trays are empty. The tray's end walls are of a height about one-half that of the tray's side walls, the end and side walls all extending up from the tray's floor. The tray's floor is positioned closely adjacent the tray' s bottom edges. The tray' s side walls each include a top rail and a top rib extending along the top edge thereof, and a bottom rail extending along the bottom edge thereof, the rails and rib being linear and extending from adjacent one end to the other of the side wall. The tray' s end walls each include a middle rail and a middle rib extending along the top edge thereof from adjacent one end to the other of the end wall. In use, and when the trays are stacked, the trays' side walls are oriented into a vertical coplanar attitude so that a bottom rail of an upper tray seats on a top rib and rail of a lower tray on each side thereof for supporting the trays in that stacked relation. When the trays are nested, the upper tray is rotated 90 DEG relative to the lower tray so that the upper tray's bottom rails seat on the lower tray's middle ribs and rails, and so that the upper tray's middle rails seat on the lower tray's upper ribs and rails, for supporting the trays in that nested relation. The top, middle and bottom rib and rail structures cooperate with the trays' walls to prevent end-to-end, as well as side-to-side, movement of the upper tray relative to the lower tray when the trays are in stacked, as well as in nested, relationship with one another.
CARDIOVASCULAR DISEASE RISK FACTORS IN STRUCTURAL FIREFIGHTERS

OF DISSERTATION CARDIOVASCULAR DISEASE RISK FACTORS IN STRUCTURAL FIREFIGHTERS This dissertation is composed of two manuscripts assessing cardiovascular disease (CVD) risk in structural firefighters. Study 1 compared traditional CVD risk factors and health-related behaviors between professional and volunteer firefighters. Online questionnaires were sent to approximately 4000 firefighters in the state of Kentucky. The results indicated that 90% of volunteer and 58% of professional firefighters were classified as moderate-to-high CVD risk. Volunteer firefighters were significantly (p < 0.001) older and more likely (p = 0.026) to be current cigarette smokers. The mean body mass index among all firefighters in the sample was 30.8 kg·m. Nearly 60% of volunteer firefighters were obese. Obese firefighters were more likely (p < 0.05) to have been diagnosed as diabetic or pre-diabetes compared to overweight and normal weight firefighters. These results indicate that volunteer firefighters may be at a greater CVD risk compared to professional firefighters. Study 2 investigated the association of cardiorespiratory fitness (CRF) and body fat with arterial stiffness in professional firefighters. Forty-six male professional structural firefighters performed a maximal graded exercise test in personal protective equipment and noninvasive arterial stiffness assessments before and for 60 minutes postexercise. Percent body fat was measured with a bioelectrical impedance analyzer. Firefighters were stratified into fit (VO2peak ≥ 48.3 ml·kg·min) and unfit (VO2peak < 48.3 ml·kg·min) groups. Pulse wave velocity, an indicator of arterial stiffness, was significantly lower overall in the fit group compared to the unfit group (p < 0.001). However, the fit group had significantly less relative body fat compared to the unfit group. Thus, when controlling for the confounding effects of fatness, the results indicated that there was a significant effect of relative body fat (p < 0.001) but no effect of fitness on arterial stiffness (p = 0.490). This indicated that relative body fat was responsible for the difference in arterial stiffness and not the fitness stratification. The unfit group displayed a significantly higher average carotid-femoral pulse wave velocity of 1.004 m·s which may increase the risk of a sudden cardiac event by 14%. In addition, there was no main effect for time (p = 0.794) or group x time interaction (p = 0.906). Most resting measures of central and brachial pressure were significantly higher in the unfit group. Results from this dissertation indicated that volunteer firefighters have a greater CVD risk than professional firefighters. Furthermore, relative body fat has a greater effect on arterial stiffness than cardiorespiratory fitness. Collectively, these findings indicate the need for innovative weight management strategies to decrease CVD risk among structural firefighters.
The Grounding Problem in Conversations With and Through Computers

In this chapter I look at humanÐcomputer interaction as a kind of coordinated action that bears many similarities to conversational interaction. In humanÐcomputer interaction, a computer can be both a medium to communicate through and a partner to communicate with . I consider how people coordinate their activities with other people electronically, over time and distance, as well as how they communicate with computers as interactive partners, regardless of whether the currency of interaction is icons, text, or speech. The problem is that electronic contexts are often impoverished ones. Many of the errors that occur in humanÐcomputer interaction can be explained as failures of grounding, in which users and systems lack enough evidence to coordinate their distinct knowledge states. Understanding the grounding process provides not only a systematic framework for interface designers who want to understand and improve humanÐcomputer interaction, but also a testbed for cognitive and social psychologists who seek to model the effects of different contexts and media upon language use.
The IL-6 system and its interaction with chronic low-grade inflammation and high intensity intermittent exercise.

The IL-6 system is key in the development of chronic low-grade inflammation. It is known to be upregulated in response to acute exercise and lowered at rest after exercise training. IL-6 has both anti- and pro-inflammatory properties and moderation of this cytokine could alleviate chronic low-grade inflammation which is associated with obesity and Type 2 diabetes mellitus (T2DM). This thesis investigated the interplay between inflammation, glycaemic control and high intensity intermittent training (HIIT) - an exercise regimen that has been shown to yield many health benefits. There was a greater increase in IL-6 after an acute bout of HIIT than continuous moderate intensity exercise, where external work was matched (Chapter 4). Although sIL-6R and the IL-6/sIL-6R complex were both significantly increased after acute exercise there were no differences between HIIT and moderate intensity exercise. In response to 2 weeks HIIT there was a significant reduction in IL-6 and increase in IL-6R in adipose tissue in overweight and obese males (Chapter 5). It was also determined that IL-6R present in adipose tissue is at least partly composed of the membrane-bound IL-6R isoform (Chapter 6). Reductions in circulating sIL-6R, the IL-6/sIL-6R complex, MCP-1 and adiponectin, as well as a decrease in waist circumference and increase in peak oxygen uptake during exercise were also induced after 2 weeks HIIT (Chapter 5). Young adults with T2DM (< 40 y) displayed elevated levels of inflammatory proteins in comparison to lean controls, however there were no significant differences in comparison to obese controls (Chapter 7). In conclusion, the findings of this thesis demonstrate that acute and repeated bouts of HIIT have positive effects on the inflammatory profile in the circulation and adipose tissue, particularly in relation to the IL-6 system. It should be determined if HIIT is an achievable mode of exercise for patient populations, including T2DM patients, in order to downregulate the inflammatory profile
Spatial heterogeneity of soil respiration in a seasonal rainforest with complex terrain

Abstract: Although numerous studies have been conducted to investigate ecosystem-scale soil respiration, our understanding of this process is still incomplete, especially with respect to the spatial variability and ecological factors that drive such variability in respiration. The present study was conducted to investigate the respiration, structural parameters and soil properties in a seasonal rainforest with complex topography. Specifically, we sampled a 20-ha plot in intervals of 20 m to measure the soil respiration. Based on the entire 20-ha plot, the spatial mean soil respiration rate was 4.09 µmol m-2 s-1 and 2.71 µmol m-2 s-1 during the rainy and dry season, respectively. Strong spatial heterogeneity was observed, with coefficients of variance of 42% and 38% being obtained for the rainy and dry season, respectively. The patch size of soil respiration was approximately 40 m, which was much smaller than that of the soil temperature and water content. Soil-respiration hot spots induced a right-skewed probability density function of soil respiration in space. However, termite mounds did not account for the respiration hot spots. The required number of sampling points in our studied forest was estimated to be 71 and 51 for the rainy and dry season, respectively.
REDUCING PAIN AND DISABILITY FOR WHIPLASH VICTIMS: A DOUBLE-BLIND RANDOMISED CONTROLLED TRIAL

The object of this research was to compare the strength and endurance versions of progressive resistance exercise for patients with neck pain. In the Australian Capital Territory the most frequent accident type is the rear end collision which constitutes around 46 percent of all crashes. Three percent of people involved in rear end collisions are injured. Up to 84 percent of victims of rear end collision who are hospitalised report acute neck pain, of whom 10 percent progress to chronic pain. Therefore, it is important to ascertain which treatment is most effective for reducing the pain and functional limitations. In March 1996 the Australian Transport Safety Bureau and the NRMA Road Safety Trust jointly funded a randomised controlled trial to compared therapeutic exercise for chronic neck pain. The trial was conducted in the ACT and is now complete. 103 patients with chronic neck pain were randomised to either strength or endurance training. Primary outcomes were pain and functional limitations. Secondary outcomes were muscular strength and endurance and range of movement. (a) For the covering entry of this conference, please see ITRD abstract no. E209619.
The Relationship Between Activities of Daily Living (ADL), Chronic Diseases, and Depression Among Older Korean Immigrants

It has been identified that performance of Activities of Daily living (ADL) and chronic disease are predictors of depression for older Asian immigrants. This study examined the independent and interactive effects of ADL performance and chronic disease on depressive symptoms among older Korean immigrants. Data from 210 older Korean immigrants in Los Angeles County were analyzed. Self-reported measures included sociodemographic characteristics, ADL performance, chronic disease, and depressive symptoms. A hierarchical regression model indicated that performance of activities of daily living were negatively associated with depressive symptoms. Also, older Korean immigrants with more chronic diseases were more likely to have depressive symptoms. The interaction between ADL performance and chronic diseases was significantly associated with lower levels of depressive symptoms (β = .46, p < .05). Findings suggest that it is critical to develop various strategies for enhancing immigrants’ ability to perform activities of daily living; this can lead to increased independence and reduced chronic illnesses, thus, improving overall quality of life.
An improved model and feature set for signature recognition

Automatic on-line signature recognition has been investigated by several authors in order to allow machines to recognize an user from its own biometric traits. The following paper deals with features and models required in order to allow a machine to learn and discriminate signatures. The proposed solution approaches the signature making process as the motion of a point in a bi-dimensional space and model s statistic properties of the motion via the well known Maximum a Posteriori training of Gaussian Mixture Models. Comparing our approach to state-of-the-art solutions, major advancements have been found. As first, both system accuracy in signature discrimination and system resistance to forgeries have been double. Eventually, the proposed modeling technique leads to smaller templates, whose size is halved with respect to state-of-theart alternatives.
SEQUENTIAL MONTE CARLO BASED MAXIMUM LIKELIHOOD ESTIMATION FOR CALCIUM BINDING REACTIONS

Sequential Monte Carlo based maximum likelihood estimation offers a computationally efficient estimation methodology for tuning the parameter values of stochastic cell and molecular biological models. In this work, we consider a model for calcium binding reactions. The calcium binding model is simulated here with stochastic methods. Six estimation tasks are selected to test the estimation method. The tasks are constructed by using two volumes in which the calcium binding model is converted from concentrations to numbers of molecules and ions. The reference data of the calcium bindind model is simulated in these volumes using the Gillespie stochastic simulation algorithm and corrupted by three different levels of measurement noise yielding measurement data. The parameter values of
Are Black-White Mortality Rates Converging? Acute Myocardial Infarction in the United States, 1993–2010

There is a vast literature documenting the presence of pervasive racial disparities in U.S. health care (IOM, 2002). More recently, researchers have studied changes over time in the extent of racial and socioeconomic disparities, to test whether the public focus on disparities in health care has led to fundamental changes in practice styles, improved sensitivity by health care providers to different cultural norms, and less biased treatment and outcome decisions. In many cases, there has been a notable reduction in the magnitude of disparities in treatment and the use of “effective” care (Trivedi et al., 2005; Trivedi et al., 2011; Jha et al., 2005). There is less progress, however, with respect to racial disparities in overall health outcomes (e.g. Cutler and Meara, 2008).
Wearable Long-Term Social Sensing for Mental Wellbeing

Long-term wellbeing monitoring is an underlying theme in many local and national policies and procedures outlined by governments and health care services. Natural, efficacious, and trustworthy monitoring by using wearable sensors is necessary for researchers to find and establish the interrelationships of affective computing, body sensor networks (BSNs), social signal processing, and physical mental health. Specially, Giancarlo Fortino has an outstanding contribution for applying BSNs on health monitoring. This paper investigated how technology can help to objectively monitor an individual’s wellbeing in a naturalistic environment. For this purpose, we designed and implemented a wearable device with the integration of multi-sensors which consist of audio sensing, behavior monitoring, environment, and physiological sensing. In order to avoid privacy issues, four audio-wellbeing features are embedded into a wearable hardware platform to automatically evaluate speech information without preserving raw audio data. In addition, four weeks of long-term monitoring experiment studies have been conducted in conjunction with a series of wellbeing questionnaires in a group of students. The relationships between physical and mental health were investigated objectively by utilizing data from speech, behavioral activities and ambient factors in a completely natural daily situation.
Java Tool for Normalization and Analysis of Microarray Data

Abstract Microarray technology has become an essential tool in functional genomics. However, there are many sources of variation which affect the measured gene expression levels. Normalization refers to the process of removing systematic variation. For this purpose, a platform independent Java application for normalization and analysis of microarray experiments has been developed. The experiment data are graphically organized according to the design, scatterplots, histograms and boxplots allow the visualization of the data. Several normalization methods have been implemented: 1) global method, 2) LOWESS-regression, 3) self-normalization for dyeswapped slides and 4) normalization with controls. After normalization, replicated measurements can be combined and averaged to enable statistical analysis. For the detection of genes with significant changes in expression, a module is provided including: 1) fold-change detection and 2) t-test with adjusted p-values. The selected genes can be saved to a text file, readable by other microarray-analysis software. The variety of normalization methods and the ability of dealing with a wide range of experimental designs makes this software a useful and freely available tool to normalize microarray experiments.
Learning to Cluster

—We propose a novel neural network architecture to learn the task of clustering end-to-end: salient features for any similarity criterion speciﬁed through weakly labeled training data are extracted with an embedding network; during evaluation, the network groups similar data of any modality together, by assigning a probabilistic cluster index, and further gives a probabilistic estimate of the number of clusters. The method is evaluated on 2D-point data, speaker data from the TIMIT corpus, and images from the COIL-100 dataset, reaching promising results.
Crop response to elevated CO 2 and world food supply

Crop response to elevated CO2 and world food supply A comment on “Food for Thought. ” by Long et al., Science 312:1918–1921, 2006 Francesco N. Tubiello a,f,∗, Jeffrey S. Amthor b, Kenneth J. Boote c, Marcello Donatelli d, William Easterling e, Gunther Fischer f, Roger M. Gifford g, Mark Howden h, John Reilly i, Cynthia Rosenzweig j a Center for Climate Systems Research, Columbia University, New York, NY, USA b Office of Science (BER), U.S. Department of Energy, Germantown, MD, USA c Agronomy Department, University of Florida, Gainesville, FL, USA d CRA-ISCI, Bologna, Italy e Penn State Institutes of the Environment, Penn State University, University Park, PA, USA f Land Use Program, International Institute for Applied Systems Analysis, Laxenburg, Austria g CSIRO Plant Industry, Canberra, Australia h CSIRO Sustainable Ecosystems, Canberra, Australia i Joint Program on the Science and Policy of Global Change, MIT, Cambridge, USA j Climate Impacts Group, NASA-Goddard Institute for Space Studies, New York, USA
An Active Vision Based SAR-FLIR Fusion ATR System for Detection and Recognition of Ground Targets

Abstract : (1) A constant False Alarm Rate (CFAR) has been developed and implemented for real time performance on an inexpensive Single Instruction Multiple Data (SIMD) hardware. (2) An innovative registration algorithm has been developed to register the SAR-passive image pair. (3) A model-based recognition scheme using a model-image alignment approach has been implemented. (4) An end-to-end demonstration of the proof-of-concept demonstration of the SAR-passive image fusion approach has been accomplished.
Job satisfaction of health professionals in Kigali University Teaching Hospital

iii DECLARATION . v ACKNOWLEDGEMENT . vi TABLE OF CONTENT . vii ABBREVIATIONS . x LIST OF TABLES . xi LIST OF FIGURES . xi CHAPTER I: BACKGROUND AND INTRODUCTION . 1
Approach to Forensic Accounting and Forensic Audit

Forensic accounting and forensic audit are not new concepts, however, their acceptability are just gaining momentum in Nigeria because of their perceived roles in National development and transformation. This paper presents various acceptable definitions and concepts of forensics and forensic accounting, forensic audit, it discusses other related forensic terminologies, distinction and similarities between statutory audit and forensic audit, approaches/steps and techniques in forensic audit engagements and functions of a forensic auditor. Contents analysis was used in presenting facts of the paper, review of relevant literature gives and confirmed the existing knowledge and further explanations were made with respect to the forensic concepts.