Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing the impact of public education on a preventable zoonotic disease: rabies

SUMMARY Effective methods to increase awareness of preventable infectious diseases are key components of successful control programmes. Rabies is an example of a disease with significant impact, where public awareness is variable. A recent awareness campaign in a rabies endemic region of Azerbaijan provided a unique opportunity to assess the efficacy of such campaigns. A cluster cross-sectional survey concerning rabies was undertaken following the awareness campaign in 600 households in 38 randomly selected towns, in districts covered by the campaign and matched control regions. This survey demonstrated that the relatively simple awareness campaign was effective at improving knowledge of rabies symptoms and vaccination schedules. Crucially, those in the awareness campaign group were also 1·4 times more likely to report that they had vaccinated their pets, an essential component of human rabies prevention. In addition, low knowledge of appropriate post-exposure treatment and animal sources of rabies provide information useful for future public awareness campaigns in the region and other similar areas.
Deep Generative Model for Joint Alignment and Word Representation

This work exploits translation data as a source of semantically relevant learning signal for models of word representation. In particular, we exploit equivalence through translation as a form of distributional context and jointly learn how to embed and align with a deep generative model. Our EmbedAlign model embeds words in their complete observed context and learns by marginalisation of latent lexical alignments. Besides, it embeds words as posterior probability densities, rather than point estimates, which allows us to compare words in context using a measure of overlap between distributions (e.g. KL divergence). We investigate our model’s performance on a range of lexical semantics tasks achieving competitive results on several standard benchmarks including natural language inference, paraphrasing, and text similarity.
Cardiovascular and Bleeding Risks in Acute Myocardial Infarction Newly Treated With Ticagrelor vs. Clopidogrel in Taiwan.

BACKGROUND There are few data on ticagrelor in Asian patients. This study evaluated clinical outcomes with ticagrelor and clopidogrel in Taiwanese patients with acute myocardial infarction (AMI). Methods and Results:We used the Taiwan National Health Insurance Research Database to identify 27,339 AMI patients aged ≥18 years between January 2012 and December 2014, and only patients who survived greater than or equal to 30 days after AMI and took dual antiplatelet therapy were included. Cohorts of ticagrelor and clopidogrel were matched 1:8, based on propensity score matching, to balance baseline covariates. The primary efficacy endpoints were death from any cause, AMI, or stroke. The safety endpoints consisted of major gastrointestinal bleeding or intracerebral hemorrhage. Following propensity matching, the primary efficacy endpoint rate was 22% lower in the ticagrelor group than in the clopidogrel group (10.6% and 16.2%, respectively; adjusted HR, 0.779; 95% CI: 0.684-0.887). The safety endpoint rate was similar between the ticagrelor and clopidogrel groups (3.2% and 4.1% respectively; adjusted HR, 0.731; 95% CI: 0.522-1.026). CONCLUSIONS In real-world AMI Taiwanese patients, ticagrelor seemed to offer better anti-ischemic protection than clopidogrel, without an increase in the rate of major bleeding. A large-scale randomized trial is needed to assess the efficacy and safety of ticagrelor in East Asian AMI patients.
Quantifying Missing Heritability at Known GWAS Loci

Recent work has shown that much of the missing heritability of complex traits can be resolved by estimates of heritability explained by all genotyped SNPs. However, it is currently unknown how much heritability is missing due to poor tagging or additional causal variants at known GWAS loci. Here, we use variance components to quantify the heritability explained by all SNPs at known GWAS loci in nine diseases from WTCCC1 and WTCCC2. After accounting for expectation, we observed all SNPs at known GWAS loci to explain more heritability than GWAS-associated SNPs on average (). For some diseases, this increase was individually significant: for Multiple Sclerosis (MS) () and for Crohn's Disease (CD) (); all analyses of autoimmune diseases excluded the well-studied MHC region. Additionally, we found that GWAS loci from other related traits also explained significant heritability. The union of all autoimmune disease loci explained more MS heritability than known MS SNPs () and more CD heritability than known CD SNPs (), with an analogous increase for all autoimmune diseases analyzed. We also observed significant increases in an analysis of Rheumatoid Arthritis (RA) samples typed on ImmunoChip, with more heritability from all SNPs at GWAS loci () and more heritability from all autoimmune disease loci () compared to known RA SNPs (including those identified in this cohort). Our methods adjust for LD between SNPs, which can bias standard estimates of heritability from SNPs even if all causal variants are typed. By comparing adjusted estimates, we hypothesize that the genome-wide distribution of causal variants is enriched for low-frequency alleles, but that causal variants at known GWAS loci are skewed towards common alleles. These findings have important ramifications for fine-mapping study design and our understanding of complex disease architecture.
Shear Capacity of RC Beams with Carbon Fiber-Reinforced Polymer Stirrups with Rectangular Section

AbstractExperimental observations were made for the shear capacity of reinforced concrete beams with carbon fiber-reinforced polymer rectangular stirrups (CFRPRS). In total, 12 concrete beams were tested under three-point loading. Each beam measured 1,400 mm long, 150 mm wide, and 250 mm deep. For comparative studies, different parameters were considered: different sectional shapes (circular and rectangular CFRP stirrups), material types (steel and CFRP), and reinforcement ratios of stirrups (0.0038 and 0.0096). All beams were subjected to three-point loading. Test results indicated that concrete beams reinforced with CFRPRS stirrups could maintain shear behavior comparable to that of the concrete beam reinforced with steel stirrups. Compared with the beams with conventional CFRP stirrups with circular sections, superior shear behavior was observed for the beams reinforced with CFRPRS stirrups in terms of shear strength and crack width.
Research on Laser Cladding Superalloy K418 by Multipass and Multi-layer Method

In order to repair one certain type of damaged turbine blade,experiment on the superalloy K418 with manual-mixed power by multi-path and multi-layer laser cladding method.In this paper,the technological parameters were optimized,the microstructure of the laser cladding was analyzed,and the hardness was tested.The feasibility on the strengthening and repairing of superalloy turbine blades by laser cladding was discussed,the experimental results show that good quality cladding layer could be obtained when the laser power is 730 W,the flux of protect gas is 1.5 L/min,the scan speed is 8 mm/s and the amount of lap is 50%;the cladding layer is composed by columnar crystals and equiaxed crystals whose dimension is affected by the technological parameters.The average hardness of cladding layer is 415HV;the goal of repairing and strengthening turbine can reached by optimized technological parameters.
Vitellogenin concentrations in feral Danish brown trout have decreased: An effect of improved sewage treatment in rural areas?

Feminization of male and juvenile fish because of exposure to estrogens or estrogenic chemicals in effluents from central wastewater treatment plants (WWTPs) is a worldwide issue of concern. Intersex and induction of the female yolk protein, vitellogenin, in male and juvenile fish are robust biomarkers for estrogenic exposure, and feminized fish have been observed downstream of WWTP outlets in many countries. Danish central WWTPs reduce effluent estrogenicity effectively by advanced sewage treatment, and feminizations have not been observed downstream of central WWTP outlets. However, between 2000 and 2004, investigations of Danish streams not receiving sewage from central WWTPs revealed a high variation in vitellogenin concentrations of male juvenile brown trout (Salmo trutta); some individuals had high concentrations, probably as a result of estrogenic point sources, and the plasma concentration was >50 ng mL−1 in 79% of the juvenile males. The streams were reinvestigated in 2010 to 2016, and the average male level had decreased to a hitherto unseen baseline level; in 2010 only 0.7% (one individual) of the males had a vitellogenin concentration >50 ng mL−1, which could indicate that the estrogenicity of the streams decreased after 2004. We examined possible estrogenic sources in streams unaffected by central WWTP effluents, and found that the reduced vitellogenin levels are most likely explained by a national effort to improve on‐site wastewater treatment in scattered houses not connected to central WWTPs. Environ Toxicol Chem 2018;37:839–845. © 2017 SETAC
Current Status of Endoscopic Resection for Superficial Nonampullary Duodenal Epithelial Tumors

Background: Endoscopic resection (ER) is becoming the first choice of treatment for treating superficial nonampullary duodenal epithelial tumors (SNADETs), but ER procedures for SNADETs remain challenging because of the difficulty experienced in maneuvering the endoscope toward the thin duodenal wall, which results in a high rate of adverse events. Although several ER methods were used to overcome these technical difficulties and complications, ER methods for SNADETs are not standardized. A new technique, underwater endoscopic mucosal resection (UEMR), was developed recently in a western country, and its usefulness was reported. Beginning in 2014, we were the first to use UEMR for SNADETs in Japan. Thus, in our experience, we would propose an indication of the various ER methods for SNADETs according to the lesion size. Summary: Endoscopic mucosal resection (EMR) and UEMR were effective and safe for small lesions (≤20 mm), but for large lesions (>20 mm), piecemeal removal of lesion by EMR and UEMR had high incidence of recurrence and adverse events. Especially, piecemeal EMR could cause delayed perforation. Cold snare polypectomy was useful for small lesions (≤10 mm), but further study of its recurrence is warranted. Endoscopic submucosal dissection (ESD) achieved a high complete resection rate regardless of the lesion size, but its rate of adverse events, including morbid complications, was high. Thus, after ESD for large lesions, secure prevention method for adverse events, such as closure of the wound by laparoscopic-endoscopic cooperative surgery, should be required. Key Messages: ER methods for treating SNADETs were proposed based on the lesion size. For large lesions, prophylactic methods for adverse events should be implemented.
Smart contracts software metrics: A first study

Smart contracts (SC) are software programs that reside and run over a blockchain. The code can be written in different languages with the common purpose of implementing various kinds of transactions onto the hosting blockchain. They are ruled by the blockchain infrastructure with the intent to automatically implement the typical conditions of traditional contracts. Programs must satisfy context-dependent constraints which are quite different from traditional software code. In particular, since the bytecode is uploaded in the hosting blockchain, the size, computational resources, interaction between different parts of the program are all limited. This is true even if the specific programming languages implement more or less the same constructs as that of traditional languages: there is not the same freedom as in normal software development. The working hypothesis used in this article is that Smart Contract specific constraints should be captured by specific software metrics (that may differ from traditional software metrics). We tested this hypothesis on 85K Smart Contracts written in Solidity and uploaded on the Ethereum blockchain. We analyzed Smart Contracts from two repositories “Etherscan” and “Smart Corpus” and we computed the statistics of a set of software metrics related to Smart Contracts and compared them to the metrics extracted from more traditional software projects. Our results show that generally, Smart Contract metrics have more restricted ranges than the corresponding metrics in traditional software systems. Some of the stylized facts, like power law in the tail of the distribution of some metrics, are only approximate but the lines of code follow a log-normal distribution which reminds us of the same behaviour already found in traditional software systems.
Observing Spring and Fall Phenology in a Deciduous Forest with Aerial Drone Imagery

Plant phenology is a sensitive indicator of the effects of global change on terrestrial ecosystems and controls the timing of key ecosystem functions including photosynthesis and transpiration. Aerial drone imagery and photogrammetric techniques promise to advance the study of phenology by enabling the creation of distortion-free orthomosaics of plant canopies at the landscape scale, but with branch-level image resolution. The main goal of this study is to determine the leaf life cycle events corresponding to phenological metrics derived from automated analyses based on color indices calculated from drone imagery. For an oak-dominated, temperate deciduous forest in the northeastern USA, we find that plant area index (PAI) correlates with a canopy greenness index during spring green-up, and a canopy redness index during autumn senescence. Additionally, greenness and redness metrics are significantly correlated with the timing of budburst and leaf expansion on individual trees in spring. However, we note that the specific color index for individual trees must be carefully chosen if new foliage in spring appears red, rather than green—which we observed for some oak trees. In autumn, both decreasing greenness and increasing redness correlate with leaf senescence. Maximum redness indicates the beginning of leaf fall, and the progression of leaf fall correlates with decreasing redness. We also find that cooler air temperature microclimates near a forest edge bordering a wetland advance the onset of senescence. These results demonstrate the use of drones for characterizing the organismic-level variability of phenology in a forested landscape and advance our understanding of which phenophase transitions correspond to color-based metrics derived from digital image analysis.
Meyer and Allen Model of Organizational Commitment: Measurement Issues

Meyer and Allen’s three-component model of organizational commitment has become the dominant model for study of workplace commitment. Given its widespread usage, analyzing the accuracy of the scales developed to tap the construct is warranted. This paper includes a critical analysis of the organizational commitment framework proposed by Meyer and Allen and examines the validity of its constituent subscales for the measurement of Affective Commitment (AC), Normative Commitment (NC), and Continuance Commitment (CC). It identifies the critical issues that need to be addressed to enhance the accuracy and usefulness of Meyer and Allen’s model. It incorporates corresponding solutions and proposes an enhanced model for the measurement of organizational commitment.
Understanding the effect of disturbance from selective felling on the carbon dynamics of a managed woodland by combining observations with model predictions

The response of forests and terrestrial ecosystems to disturbance is an important process in the global carbon cycle in the context of a changing climate. This study focuses on the effect of selective felling (thinning) at a managed forest site. Previous statistical analyses of eddy covariance data at the study site had found that disturbance from thinning resulted in no significant change to net ecosystem carbon uptake. In order to better understand the effect of thinning on carbon fluxes, we use the mathematical technique of four‐dimensional variational data assimilation. Data assimilation provides a compelling alternative to more common statistical analyses of flux data as it allows for the combination of many different sources of data, with the physical constraints of a dynamical model, to find an improved estimate of the state of a system. We develop new observation operators to assimilate daytime and nighttime net ecosystem exchange observations with a daily time step model, increasing observations available by a factor of 4.25. Our results support previous analyses, with a predicted net ecosystem carbon uptake for the year 2015 of 426 ± 116 g C m−2 for the unthinned forest and 420 ± 78 g C m−2 for the thinned forest despite a model‐predicted reduction in gross primary productivity of 337 g C m−2. We show that this is likely due to reduced ecosystem respiration postdisturbance compensating for a reduction in gross primary productivity. This supports the theory of an upper limit of forest net carbon uptake due to the magnitude of ecosystem respiration scaling with gross primary productivity.
Sterol Methyl Oxidases Affect Embryo Development via Auxin-Associated Mechanisms1

The STEROL 4α-METHYL OXIDASE2 family proteins SMO2-1 and SMO2-2 function partially through effects on auxin accumulation, auxin response, and PIN1 expression to regulate embryogenesis in Arabidopsis. Sterols are essential molecules for multiple biological processes, including embryogenesis, cell elongation, and endocytosis. The plant sterol biosynthetic pathway is unique in the involvement of two distinct sterol 4α-methyl oxidase (SMO) families, SMO1 and SMO2, which contain three and two isoforms, respectively, and are involved in sequential removal of the two methyl groups at C-4. In this study, we characterized the biological functions of members of the SMO2 gene family. SMO2-1 was strongly expressed in most tissues during Arabidopsis (Arabidopsis thaliana) development, whereas SMO2-2 showed a more specific expression pattern. Although single smo2 mutants displayed no obvious phenotype, the smo2-1 smo2-2 double mutant was embryonic lethal, and the smo2-1 smo2-2/+ mutant was dwarf, whereas the smo2-1/+ smo2-2 mutant exhibited a moderate phenotype. The phenotypes of the smo2 mutants resembled those of auxin-defective mutants. Indeed, the expression of DR5rev:GFP, an auxin-responsive reporter, was reduced and abnormal in smo2-1 smo2-2 embryos. Furthermore, the expression and subcellular localization of the PIN1 auxin efflux facilitator also were altered. Consistent with these observations, either the exogenous application of auxin or endogenous auxin overproduction (YUCCA9 overexpression) partially rescued the smo2-1 smo2-2 embryonic lethality. Surprisingly, the dwarf phenotype of smo2-1 smo2-2/+ was completely rescued by YUCCA9 overexpression. Gas chromatography-mass spectrometry analysis revealed a substantial accumulation of 4α-methylsterols, substrates of SMO2, in smo2 heterozygous double mutants. Together, our data suggest that SMO2s are important for correct sterol composition and function partially through effects on auxin accumulation, auxin response, and PIN1 expression to regulate Arabidopsis embryogenesis and postembryonic development.
Segmenter Segment Classifier Query Module Query Analyzer App policy segments user query privacy policy link Application Layer ML Layer Data Layer 1 1 2 Module Data flow Privacy Taxonomy Legend : Class Comparison query classes annotated segments

Privacy policies are the primary channel through which companies inform users about their data collection and sharing practices. These policies are often long and difficult to comprehend. Short notices based on information extracted from privacy policies have been shown to be useful but face a significant scalability hurdle, given the number of policies and their evolution over time. Companies, users, researchers, and regulators still lack usable and scalable tools to cope with the breadth and depth of privacy policies. To address these hurdles, we propose an automated framework for privacy policy analysis (Polisis). It enables scalable, dynamic, and multi-dimensional queries on natural language privacy policies. At the core of Polisis is a privacy-centric language model, built with 130K privacy policies, and a novel hierarchy of neuralnetwork classifiers that accounts for both high-level aspects and fine-grained details of privacy practices. We demonstrate Polisis’ modularity and utility with two applications supporting structured and free-form querying. The structured querying application is the automated assignment of privacy icons from privacy policies. With Polisis, we can achieve an accuracy of 88.4% on this task. The second application, PriBot, is the first freeform question-answering system for privacy policies. We show that PriBot can produce a correct answer among its top-3 results for 82% of the test questions. Using an MTurk user study with 700 participants, we show that at least one of PriBot’s top-3 answers is relevant to users for 89% of the test questions.
American Journal of Epidemiology Original Contribution Alcoholic Beverages and Prostate Cancer in a Prospective Us Cohort Study

Despite numerous investigations, the correlation between alcohol consumption and prostate cancer risk remains uncertain. This report investigated the association between alcohol use and prostate cancer risk in a prospective cohort study of 294,707 US men aged 50–71 years in 1995–1996. Cox proportional hazards regression models with hazard ratios and 95% confidence intervals were adjusted for characteristics including age, race, body mass index, physical activity, and family history of prostate cancer, as well as testing for prostate-specific antigen and a digital rectal examination. There were 15,327 nonadvanced and 1,900 advanced prostate cancers identified through 2003 and 514 fatal cases through 2005. Risk of nonadvanced prostate cancer was 25% higher for men consuming 6 drinks daily (hazard ratio ¼ 1.25, 95% confidence interval: 1.13, 1.37), 19% higher for men consuming 3–<6 drinks daily, and 6% higher for men consuming up to 3 drinks daily, compared with nondrinkers. The association between alcohol consumption and nonadvanced prostate cancer risk did not differ appreciably by age, family history of prostate cancer, smoking status, body mass index, or self-reported prostate-specific antigen testing and digital rectal examination (the latter available for >60% of respondents). The authors observed no association between alcohol intake and advanced prostate cancer and an inverse association with fatal prostate cancer among heavy drinkers. These findings suggest that higher alcohol consumption modestly increases non-advanced prostate cancer risk. Alcohol is an established risk factor for many cancers, including those of the esophagus, liver, colon, rectum, and breast (1), yet the definitive correlation between alcohol and prostate cancer risk remains to be established. The report by the World Cancer Research Fund (2) on nutrition, physical activity, and cancer concluded that the data were too limited to determine an association between alcohol and prostate cancer. Although there have been more than 60 studies of this association, the results are inconsistent, and several critical gaps remain to be addressed using prospective data with sample sizes sufficient to detect small to modest associations , including whether the effect of alcohol differs by prostate cancer stage, how patterns of alcohol consumption influence risk, and alcohol's role in fatal prostate cancers. Most epidemiologic studies have reported no association between alcohol consumption and prostate cancer risk, yet many others have reported modest increases in prostate cancer risk with higher intake (3–7). Strong associations between alcohol and prostate cancer are seen in smaller studies of alcoholics and heavy drinkers (8, 9). Generally, associations …