Miracle-dz/UniFAR-FTUs huggingface dataset:
Growth in Income and Subjective Well‐Being Over Time*

Recent research has found that richer countries have higher well‐being than poorer countries and that the relationship is similar in magnitude to that seen between rich and poor members within countries. However, limited data have constrained previous researchers’ ability to detect whether economic growth within countries leads to greater well‐being. Thus the question of whether raising the income of all will raise the well‐being of all remains open. We combine newer data from many different sources with historical data to study the relationship between well‐being and GDP in a panel and time series context. We find strong evidence that well‐being and GDP grow together. This finding holds over both the short and long run. Over recent decades the world has gotten happier, and nearly all of the gains are attributable to gains in GDP. Our findings suggest an important role for economic growth in increasing well‐being, and cast doubt on the Easterlin paradox and theories of adaptation. This draft: October 26, 2011 First draft: 10/5/2011
Acceptance and Use of Mobile Technology for Health Self-Monitoring in Lung Transplant Recipients during the First Year Post-Transplantation

Summary Objectives To describe lung transplant recipients (LTRs’) acceptance and use of mobile technology for health self-monitoring during the first year post-transplantation, and explore correlates of the use of technology in the 0 to 2, >2 to ≤6, >6 to ≤12, and 0 to 12 months. Methods Secondary analysis of data from 96 LTR assigned to use Pocket PATH®, a smartphone application, for daily health self-monitoring in a randomized controlled trial. Use of Pocket PATH was categorized as low, moderate, and high use. Proportional odds models for ordinal logistic regression were employed to explore correlates of use of technology. Results LTR reported high acceptance of Pocket PATH at baseline. However, acceptance was not associated with actual use over the 12 months (p=0.45∼0.96). Actual use decreased across time intervals (p<0.001). Increased self-care agency was associated with the increased odds of higher use in women (p=0.03) and those less satisfied with technology training (p=0.02) in the first 2 months. Higher use from >2 to ≤6 months was associated with greater satisfaction with technology training (OR=3.37, p=0.01) and shorter length of hospital stay (OR=0.98, p=0.02). Higher use from >6 to ≤12 months was associated with older age (OR=1.05, p=0.02), lower psychological distress (OR=0.43, p=0.02), and better physical functioning (OR=1.09, p=0.01). Higher use over 12 months was also associated with older age (OR=1.05, p=0.007), better physical functioning (OR=1.13, p=0.001), and greater satisfaction with technology training (OR=3.05, p=0.02). Conclusions Correlates were different for short- and long-term use of mobile technology for health self-monitoring in the first year post-transplantation. It is important to follow up with LTR with longer hospital stay, poor physical functioning, and psychological distress, providing ongoing education to improve their long-term use of technology for health self-monitoring. Citation: Jiang Y, Sereika SM, DeVito Dabbs A, Handler SM, Schlenk EA. Acceptance and use of mobile technology for health self-monitoring in lung transplant recipients during the first year post-transplantation.
The Protective Effect of Total Flavones from Rhododendron simsii Planch. on Myocardial Ischemia/Reperfusion Injury and Its Underlying Mechanism

Objectives Total flavones from Rhododendron simsii Planch. (TFR) are the effective part extracted from the flowers of Rhododendron simsii Planch. and have obvious protective effects against cerebral ischemic or myocardial injuries in rabbits and rats. However, their mechanism of cardioprotection is still unrevealed. Therefore, the present study was designed to investigate the effect of TFR on myocardial I/R injury and the underlying mechanism. Methods TFR groups were treated by gavage once a day for 3 days at a dose of 20, 40, and 80 mg/kg, respectively, and then the model of myocardial I/R injury was established. Myocardial infarction, ST-segment elevation, and the expression of UTR, ROCK1, ROCK2, and p-MLC protein in rat myocardium were determined at 90 min after reperfusion. UTR siRNA in vivo transfection and competition binding assay method were used to study the relationship between the protective effect of TFR and UTR. Results The expression of UTR protein markedly decreased in myocardium of UTR siRNA transfection group rats. TFR could significantly reduce the infarct size and inhibit the increase of RhoA activity and ROCK1, ROCK2, and p-MLC protein expressions both in WT and UTR knockdown rats. The reducing rate of TFR in myocardial infarction area, RhoA activity, and ROCK1, ROCK2, and p-MLC protein expressions in UTR knockdown rats decreased markedly compared with that in WT rats. In addition, TFR had no obvious effect on the increase of ΣST in UTR knockdown rats in comparison with that in model group. In particular, TFR could significantly inhibit the combination of [125I]-hu-II and UTR, and IC50 was 0.854 mg/l. Conclusions The results indicate that the protective effect of TFR on I/R injury may be correlated with its blocking UTR and the subsequent inhibition of RhoA/ROCK signaling pathway.
Oxidative DNA damage and oxidative stress in lead-exposed workers

There are many discrepancies among the results of studies on the genotoxicity of lead. The aim of the study was to explore lead-induced DNA damage, including oxidative damage, in relation to oxidative stress intensity parameters and the antioxidant defense system in human leukocytes. The study population consisted of 100 male workers exposed to lead. According to the blood lead (PbB) levels, they were divided into the following three subgroups: a group with PbB of 20–35 μg/dL (low exposure to lead (LE) group), a group with a PbB of 35–50 µg/dL (medium exposure to lead (ME) group), and a group with a PbB of >50 μg/dL (high exposure to lead (HE) group). The control group consisted of 42 healthy males environmentally exposed to lead (PbB < 10 μg/dL). A comet assay was used to measure the DNA damage in leukocytes. We measured the activity of superoxide dismutase (SOD), catalase, glutathione reductase (GR), glucose-6-phosphate dehydrogenase (G6PD), and glutathione-S-transferase (GST) as well as the concentration of malondialdehyde (MDA), and the value of the total antioxidant capacity. The level of PbB was significantly higher in the examined subgroups than in the control group. The percentage of DNA in the tail was significantly higher in the LE, ME, and HE subgroups than in the control group by 10% (p = 0.001), 15% (p < 0.001), and 20% (p < 0.001), respectively. The activity of GR was significantly lower in the LE and ME subgroups than in the control group by 25% (p = 0.007) and 17% (p = 0.028), respectively. The activity of G6PD was significantly lower in the ME subgroup by 25% (p = 0.022), whereas the activity of GST was significantly higher in the HE subgroup by 101% (p = 0.001) than in the control group. Similarly, the activity of SOD was significantly higher in the LE and ME subgroups by 48% (p = 0.026) and 34% (p = 0.002), respectively. The concentration of MDA was significantly higher in the LE, ME, and HE subgroups than in the control group by 43% (p = 0.016), 57% (p < 0.001), and 108% (p < 0.001), respectively. Occupational lead exposure induces DNA damage, including oxidative damage, in human leukocytes. The increase in DNA damage was accompanied by an elevated intensity of oxidative stress.
Accepted Manuscript Association Between Specific Adipose Tissue CD 4 + T-Cell Populations and Insulin Resistance in Obese People

Background & Aims: An increased number of macrophages in adipose tissue is associated with insulin resistance and metabolic dysfunction in obese people. However, little is known about other immune cells in adipose tissue from obese people, and whether they contribute to insulin resistance. We investigated the characteristics of T cells in adipose tissue from metabolically abnormal insulin-resistant obese (MAO), metabolically normal insulin-sensitive obese (MNO), and lean subjects. Insulin sensitivity was determined by using the hyperinsulinemic euglycemicclamp procedure. Methods: We assessed plasma cytokine concentrations and subcutaneous adipose tissue CD4 Tcell populations in 9 lean, 12 MNO, and 13 MAO subjects. Skeletal muscle and liver samples were collected from 19 additional obese patients undergoing bariatric surgery, to determine the presence of selected cytokine receptors. Results: Adipose tissue from MAO subjects had 3to 10-fold increases in numbers of CD4 T cells that produce IL-22 and IL-17 (a T-helper [Th] 17 and Th22 phenotype), compared with MNO and lean subjects. MAO subjects also had increased plasma concentrations of IL-22 and IL-6. Receptors for IL-17 and IL-22 were expressed in human liver and skeletal muscle samples. IL-17 and IL-22 inhibited uptake of glucose in skeletal muscle isolated from rats and reduced insulin sensitivity in cultured human hepatocytes.
Intention to use biometrie systems among international students in Cyprus

In biometrie authentication system the false acceptance rate (FAR) and false rejection rate (FRR) are two signifieant performanee metries used to illustrate the seeurities level of the system. All the biometric systems do not have an equal FAR and FRR. De facto, some biometric technologies are mathematically more vulnerable than the others. These disparities affect the behavioral intention toward biometric technology. This research aims to investigate the factors affecting the intention to use biometric system among international students staying on campus and those enrolled in graduate course in biometric system engineering. To address this problem, a proposed technology acceptance model will be tested empirically with 98 international students in two universities in Cyprus. The results of these studies have shown that among privacy concerns, biometrics system quality and personal innovativeness in IT, only performance expectancy and perceived securities are the main drivers of biometric system adoption. Additionally, the attendance of biometric course does affect the intention to use. The predictors investigated account for 40% of behavioral intentions. These findings could be extended to the intention to use biometric system in developing countries with infrastructure similar to Cyprus. Finally, organizations planning to use biometric in the future should carry out a non-professional training on how biometric system works.
The Influence of User Attribute onto the Factors of Anshin for Online Shopping Users

In this research, we investigate users' subjective sense of security, which we call An shin in Japanese. The research goal is to create a guideline of An shin in information security for users. In this paper, we report how the user security knowledge level could influence the factors of An shin for online shopping users. Traditional studies on security are based on the assumption that users would feel the sense of security with objectively secure systems. We conducted a Web survey using questionnaire with 920 subjects. In this paper, we report how the user attributes (age, sex, knowledge, experience) influence the factors of An shin for online shopping users. As a result, we showed that woman and low experience level group feel An shin when provided with secure systems and services. Moreover, we showed that other group does not feel An shin when provided with secure systems and services.
On the value of graph-based segmentation for the analysis of structural networks in life sciences

We propose, under the form of a short overview, to stress the interest of graph to encode the "topological" structure of networks hidden in images especially when applied in life sciences. We point toward existing computer science tools to extract such structural graph from images. We then illustrate different applications, such as segmentation, denoising, and simulation on practical examples of various bioimaging domains including vascular networks observed with fluorescent microscopy in 2D imaging, macroscopic root systems observed in 2D optical intensity imaging, and 3D porosity networks of seed observed in absorption X-ray microtomography.
Exploratory experiments to identify fake websites by using features from the network stack

Users on the web are unknowingly becoming more susceptible to scams from cyber deviants and malicious websites. There has been much work in the identification of malicious websites using application layer features based on content (HTML, images, links, etc.) and a plethora of classification techniques. However, there has been little work on using features from the other layers in the Open Systems Interconnection (OSI) network stack. Capturing features from the transport and internet layers of the network stack based on responses to various Hypertext Transfer Protocol (HTTP) requests may allow for increased classification accuracy. In this paper, we use learning techniques (Winnow, Logit Regression, Naïve Bayes, J48, and Bayesian) utilizing these new features to identify fake pharmacy websites. The results show that using transport and Internet layer features yields an accuracy of 80% to 95% for detecting fake websites using standard machine learning algorithms. The results suggest that many organizations may be hosting multiple websites using shared code and hosting services to enable them to produce the maximum number of fraudulent websites.
Influence of Snowmelt Timing on the Diet Quality of Pyrenean Rock Ptarmigan (Lagopus muta pyrenaica): Implications for Reproductive Success

The Pyrenean rock ptarmigan (Lagopus muta pyrenaica) is the southernmost subspecies of the species in Europe and is considered threatened as a consequence of changes in landscape, human pressure, climate change, and low genetic diversity. Previous studies have shown a relationship between the date of snowmelt and reproductive success in the Pyrenean ptarmigan. It is well established that birds laying early in the breeding season have higher reproductive success, but the specific mechanism for this relationship is debated. We present an explicative model of the relationship between snowmelt date and breeding success mediated by food quality for grouse in alpine environments. From microhistological analyses of 121 faecal samples collected during three years in the Canigou Massif (Eastern Pyrenees), and the assessment of the chemical composition of the main dietary components, we estimated the potential quality of individual diets. Potential dietary quality was correlated with free-urate faecal N, a proxy of the digestible protein content ingested by ptarmigan, and both were correlated with phenological stage of consumed plants, which in turn depends on snowmelt date. Our findings suggest that the average snowmelt date is subject to a strong interannual variability influencing laying date. In years of early snowmelt, hens benefit from a longer period of high quality food resources potentially leading to a higher breeding success. On the contrary, in years of late snowmelt, hens begin their breeding period in poorer nutrient condition because the peaks of protein content of their main food items are delayed with respect to laying date, hence reducing breeding performance. We discuss the possible mismatch between breeding and snowmelt timing.
Evolutionary perspectives on wildlife disease: concepts and applications

Wildlife disease has the potential to cause significant ecological, socioeconomic, and health impacts. As a result, all tools available need to be employed when host–pathogen dynamics merit conservation or management interventions. Evolutionary principles, such as evolutionary history, phenotypic and genetic variation, and selection, have the potential to unravel many of the complex ecological realities of infectious disease in the wild. Despite this, their application to wildlife disease ecology and management remains in its infancy. In this article, we outline the impetus behind applying evolutionary principles to disease ecology and management issues in the wild. We then introduce articles from this special issue on Evolutionary Perspectives on Wildlife Disease: Concepts and Applications, outlining how each is exemplar of a practical wildlife disease challenge that can be enlightened by applied evolution. Ultimately, we aim to bring new insights to wildlife disease ecology and its management using tools and techniques commonly employed in evolutionary ecology.
WatchThru: Expanding Smartwatch Displays with Mid-air Visuals and Wrist-worn Augmented Reality

We introduce WatchThru, an interactive method for extended wrist-worn display on commercially-available smartwatches. To address the limited visual and interaction space, WatchThru expands the device into 3D through a transparent display. This enables novel interactions that leverage and extend smartwatch glanceability. We describe three novel interaction techniques, Pop-up Visuals, Second Perspective and Peek-through, and discuss how they can complement interaction on current devices. We also describe two types of prototypes that helped us to explore standalone interactions, as well as, proof-of-concept AR interfaces using our platform.
Design of the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) is a multi‐component epidemiological and neurobiological study designed to generate actionable evidence‐based recommendations to reduce US Army suicides and increase basic knowledge about the determinants of suicidality. This report presents an overview of the designs of the six components of the Army STARRS. These include: an integrated analysis of the Historical Administrative Data Study (HADS) designed to provide data on significant administrative predictors of suicides among the more than 1.6 million soldiers on active duty in 2004–2009; retrospective case‐control studies of suicide attempts and fatalities; separate large‐scale cross‐sectional studies of new soldiers (i.e. those just beginning Basic Combat Training [BCT], who completed self‐administered questionnaires [SAQs] and neurocognitive tests and provided blood samples) and soldiers exclusive of those in BCT (who completed SAQs); a pre‐post deployment study of soldiers in three Brigade Combat Teams about to deploy to Afghanistan (who completed SAQs and provided blood samples) followed multiple times after returning from deployment; and a platform for following up Army STARRS participants who have returned to civilian life. Department of Defense/Army administrative data records are linked with SAQ data to examine prospective associations between self‐reports and subsequent suicidality. The presentation closes with a discussion of the methodological advantages of cross‐component coordination. Copyright © 2013 John Wiley & Sons, Ltd.
A Comparative Study of Fibrillated Fibers from Different Mechanical and Chemical Pulps

Fibrillation of chemical and mechanical pulps with different lignin contents was studied. The pulps were ion exchanged into their sodium form prior to fibrillation and fibrillated with an increasing level of energy using high-shear friction grinding. The fibrillated samples were characterized for their chemical composition, morphology, rheological properties, and water retention capacity. All pulps had a distinct tendency to form fibrillated material under high shear and compression. The lignin-containing kraft pulps fibrillated easily, and the resulting material can be utilized in applications where high viscosity, water retention capacity, and reinforcement are desired. Fibrillation of mechanical pulps resulted in more heterogeneous samples, which included fiber fragments, branched fibrillar structures, and flake-like particles. This material showed relatively low viscosity and water retention capacity when compared to the samples made from kraft pulps. Chemi-thermomechanical pulp (CTMP), when used as the raw material, yielded a more homogeneous organic filler-like material than did thermomechanical pulp (TMP).
Effects of Different Anesthetic Agents on Surgical Site Hemorrhage During Circumcision.

PURPOSE To investigate the effects of ketamine+midazolam and propofol+sevoflurane anesthesia on surgical site hemorrhage during circumcision procedures. MATERIALS AND METHODS The boys undergoing circumcision surgery were included in the study. The patients were divided into two groups. In Group 1 (n = 50), 0.01 mg/kg midazolam and 2 mg/kg IV ketamine were administered. In Group 2 (n = 50), 1 ? g/kg fentanyl, 1 mg/kg lidocaine 2%, and 2-3 mg/kg IV propofol were administered, and patency of airway was ensured with a laryngeal mask airway. The intraoperative bleeding scale was recorded during the procedure to evaluate surgical site bleeding. Hemorrhage was checked for the first three hours using the postoperative bleeding scale to follow the amount of hemorrhage. RESULTS Intraoperative bleeding scores were significantly higher in Group 1 as compared to Group 2. However, there was no significant difference between the groups regarding frequency of postoperative hemorrhage. Themean blood pressure values measured at 5th, 10th, 15th minutes and recovery room were significantly higher in Group 1. CONCLUSION The intraoperative bleeding scores were significantly higher with ketamine+midazolam compared to propofol+sevoflurane. On the other hand this hemorrhage can be controlled easily with appropriate hemostasis, and the amount of blood loss was not clinically significant. We think that our study makes a positive contribution to the literature about the effects of anesthetics on the surgical site bleeding during circumcision. CLINICAL TRIALS REGISTRATION ACTRN12616000189426.
Comparative analysis of different word embedding models

The words in the vocabulary are mapped into real valued vectors of low-dimensional space which is relative to vocabulary size is termed as word embedding. Words with similar vectors are semantically similar. Words Embeddings are one of the few successful application of unsupervised learning with the major benefit that it do not require expensive annotations but they can be derived from large un-annotated corpora. In this paper, we present a comparative analysis of different word embedding models namely Continuous bag of words, Skip gram, Glove(Global Vectors for word representation) and Hellinger-PCA (Principal Component Analysis). The models are compared on different parameters. The parameters are performance with respect to size of training data, basic over-view, and relation of context and target words, memory consumption, supported classifier used and effect of changes in dimensionality. Word embedding turns text into numbers. This transformation has two important beneficial properties that is dimensionality reduction for efficient representation and contextual similarity for expressive representations.