Miracle-dz/UniFAR-FTUs huggingface dataset:
Compound Mediation in Software Development: Using Genre Ecologies to Study Textual Artifacts

Traditionally, technical communicators have seen the texts that they produce -- manuals, references, instructions -- as "bridging" or mediating between a worker and her tool. But field studies of workers indicate that the mediational relationship is much more complicated: Workers often draw simultaneously upon many different textual artifacts to mediate their work, including not only the official genres produced by technical communicators manuals but also ad hoc notes, comments, and improvisational drawings produced by the workers themselves. In this chapter, I theorize these instances of compound mediatiation by drawing on activity theory and genre theory. I describe an analytical framework, that of genre ecologies, that can be used to systematically investigate compound mediation within and across groups of workers. Unlike other analytical frameworks that have been used in studies of technology (such as distributed cognition's functional systems and contextual design's work models), the genre ecology framework highlights the interpretive and cultural-historical aspects of compound mediation that are so important in understanding the use of textual artifacts. The analytical framework is illustrated by an observational study of how 22 software developers in a global corporation used various textual artifacts to mediate their software development work.
Conformal symmetry of supergravities in AdS spaces

We show that the background field method applied to supergravity in adS space-time provides the path integral for the theory in the bulk with conformal symmetry associated with the isometry of the adS space. This in turn allows to establish the rigid conformal invariance of the generating functional for the supergravity correlators on the boundary.
Low body weight/thinness, overweight and obesity of children and adolescents from a Brazilian region of low economic status

OBJECTIVE: To assess the prevalence of low body weight/thinness, overweight and obesity in a representative sample of children and adolescents from a Brazilian region with low economic development. METHODS: A total of 982 girls and 986 boys, aged seven to 17 years old and assisted by Segundo Tempo Program, from Montes Claros, Minas Gerais, Brazil, were included in the study. Low body weight/thinness, overweight and obesity were defined based on body mass cut-off indexes recommended by the International Obesity Task Force. The prevalence of the nutritional status according to sex and age was compared by chi-square test. RESULTS: In girls, the frequency of low body weight/thinness, overweight and obesity was 4.1, 18.4 and 3.8%, respectively; in boys, these percentages were 6.3, 13.2 and 2.9%, respectively. The low body weight/thinness for girls raised from 2.7% (7-10 years old) to 5.5% (15-17 years old); the body weight excess (overweight and obesity) decreased from 30.1 to 16.2% for the same age groups. In boys, the corresponding trends were from 3.2 to 9.4% for low body weight/thinness, and from 23.4 to 9.2%, for body weight excess. CONCLUSIONS: The data indicate that, even in a region with low economic status, the body weight excess was the main problem associated with nutritional health. The high overweight and obesity prevalence rates indicate the need of public policies for promoting healthy feeding behaviors and physical activity.
Compact identity-based encryption without strong symmetric cipher

In order to construct a CCA-secure (i.e. secure against chosen ciphertext attack) public key encryption scheme using the usual KEM/DEM (Key Encapsulation Mechanism/Data Encapsulation Mechanism) framework, one needs KEM and DEM schemes, both of which are CCA-secure. A CCA-secure DEM scheme can be constructed in a various way, but in order to construct a hybrid scheme producing ciphertexts of compact size, the DEM scheme needs to be a length-preserving symmetric cipher. However, it has been pointed out in the recent literature that the length-preserving symmetric cipher is in fact fairly expensive to realize because one needs strong PRP (pseudo random permutation) which is complex. As alternatives to the KEM/DEM framework for constructing compact hybrid encryption have been introduced in the public key (non identity-based) setting. In this paper, as contributions to this line of research, we construct hybrid identity-based encryption schemes which produce compact ciphertexts while providing both efficiency and strong security without resorting to the strong length-preserving symmetric cipher. In particular, all of the proposed schemes incur only one group element ciphertext expansion (defined as the size of the ciphertext minus the size of the plaintext message) and do not depend on the strong PRP. We provide security analysis of our schemes against chosen ciphertext attack under the well-known computational assumptions, in the random oracle model. We believe that our schemes are suitable for implementing on small devices.
beadarray , BASH and HULK-tools to increase the value of Illumina BeadArray experiments

The defining characteristics of the BeadArray are its random c nstruction (Gunderson et al. (2004)), and the coexistence of multiple arrays on a single c hip. The random construction extends to both the contents and the layout of the array, so th at w ile a typical probe will have about 20 replicates scattered across the array surface, the number of replicates for a probe can range from 0 (entirely absent) to over 40. Thus no two arrays h ve the same layout.
Acupuncture for Alcohol Use Disorder: A Meta-Analysis

Empirical research has produced mixed results regarding the effects of acupuncture on the treatment of alcohol use disorder in humans. Few studies have provided a comprehensive review or a systematic overview of the magnitude of the treatment effect of acupuncture on alcoholism. This study investigated the effects of acupuncture on alcohol-related symptoms and behaviors in patients with this disorder. The PubMed database was searched until 23 August 2016, and reference lists from review studies were also reviewed. Seventeen studies were identified for a full-text inspection, and seven (243 patients) of these met our inclusion criteria. The outcomes assessed at the last posttreatment point and any available follow-up data were extracted from each of the studies. Our meta-analysis demonstrated that an acupuncture intervention had a stronger effect on reducing alcohol-related symptoms and behaviors than did the control intervention (g = 0.67). A beneficial but weak effect of acupuncture treatment was also found in the follow-up data (g = 0.29). Although our analysis showed a significant difference between acupuncture and the control intervention in patients with alcohol use disorder, this meta-analysis is limited by the small number of studies included. Thus, a larger cohort study is required to provide a firm conclusion.
A Model Investigation of the Role of Air–Sea Interaction in the Climatological Evolution and ENSO-Related Variability of the Summer Monsoon over the South China Sea and Western North Pacific

Abstract The summertime northeastward march of the climatological maritime monsoon over the South China Sea (SCS) and subtropical western North Pacific (WNP) is examined using the output from a 200-yr integration of a coupled atmosphere–ocean general circulation model (GCM). Increased cloud cover and surface wind speed during monsoon onset over the SCS in May–June reduce the incoming shortwave flux and enhance the upward latent heat flux at the ocean surface, thereby cooling the local sea surface temperature (SST). The resulting east–west gradient in the SST pattern, with lower temperature in the SCS and higher temperature in the WNP, is conducive to eastward migration of the monsoon precipitation over this region. Upon arrival of the precipitation center in the WNP in July–August, the local circulation changes lead to weakening of the mei-yu–baiu rainband near 30°N. The subsequent increases in local shortwave flux and SST impart a northward tendency to the evolution of the WNP monsoon. Many of these mode.
Quality and Precision of Parametric Images Created From PET Sinogram Data by Direct Reconstruction: Proof of Concept

We have previously implemented the direct reconstruction of dense kinetic model parameter images (“parametric images”) from sinogram data, and compared it to conventional image domain kinetic parameter estimation methods . Although it has been shown that the direct reconstruction algorithm estimates the kinetic model parameters with lower root mean squared error than the conventional image domain techniques, some theoretical obstacles remain. These obstacles include the difficulty of evaluating the accuracy and precision of the estimated parameters. In image domain techniques, the reconstructed time activity curve (TAC) and the model predicted TAC are compared, and the goodness-of-fit is evaluated as a measure of the accuracy and precision of the estimated parameters. This approach cannot be applied to the direct reconstruction technique as there are no reconstructed TACs. In this paper, we propose ways of evaluating the precision and goodness-of-fit of the kinetic model parameters estimated by the direct reconstruction algorithm. Specifically, precision of the estimates requires the calculation of variance images for each parameter, and goodness-of-fit is addressed by reconstructing the difference between the measured and the fitted sinograms. We demonstrate that backprojecting the difference from sinogram space to image space creates error images that can be examined for goodness-of-fit and model selection purposes. The presence of nonrandom structures in the error images may indicate an inadequacy of the kinetic model that has been incorporated into the direct reconstruction algorithm. We introduce three types of goodness-of-fit images. We propose and demonstrate a number-of-runs image as a means of quantifying the adequacy or deficiency of the model. We further propose and demonstrate images of the F statistic and the change in the Akaike Information Criterion as devices for identifying the statistical advantage of one model over another at each voxel. As direct reconstruction to parametric images proliferates, it will be essential for imagers to adopt methods such as those proposed herein to assess the accuracy and precision of their parametric images.
LLT-PolyU: Identifying Sentiment Intensity in Ironic Tweets

In this paper, we describe the system we built for Task 11 of SemEval2015, which aims at identifying the sentiment intensity of figurative language in tweets. We use various features, including those specially concerned with the identification of irony and sarcasm. The features are evaluated through a decision tree regression model and a support vector regression model. The experiment result of the fivecross validation on the training data shows that the tree regression model outperforms the support vector regression model. The former is therefore used for the final evaluation of the task. The results show that our model performs especially well in predicting the sentiment intensity of tweets involving irony and sarcasm.
Constructing Folksonomies by Integrating Structured Metadata with Relational Clustering

Many social Web sites allow users to annotate the content with descriptive metadata, such as tags, and more recently also to organize content hierarchically. These types of structured metadata provide valuable evidence for learning how a community organizes knowledge. For instance, we can aggregate many personal hierarchies into a common taxonomy, also known as a folksonomy, that will aid users in visualizing and browsing social content, and also to help them in organizing their own content. However, learning from social metadata presents several challenges: sparseness, ambiguity, noise, and inconsistency. We describe an approach to folksonomy learning based on relational clustering that addresses these challenges by exploiting structured metadata contained in personal hierarchies. Our approach clusters similar hierarchies using their structure and tag statistics, then incrementally weaves them into a deeper, bushier tree. We study folksonomy learning using social metadata extracted from the photo-sharing site Flickr. We evaluate the learned folksonomy quantitatively by automatically comparing it to a reference taxonomy. Our empirical results suggest that the proposed framework, which addresses the challenges listed above, improves on existing folksonomy learning methods.
The Brain-Derived Neurotrophic Factor Val66Met Polymorphism Moderates the Effects of Childhood Abuse on Severity of Depressive Symptoms in a Time-Dependent Manner

Cross-sectional studies have demonstrated that the brain-derived neurotrophic factor (BDNF) Val66Met single-nucleotide polymorphism moderates the association between exposure to negative life events and depression outcomes. Yet, it is currently unclear whether this moderating effect is applicable to positive life events and if the moderating effect is stable over time. To address these gaps in the literature, we examined clinical and BDNF genotypic data from a 5-year prospective cohort of 310 primary care attendees. Primary care attendees were selected based on existence of depressive symptoms at screening. Depressive symptoms were assessed at baseline and annually for 5 years post-baseline using the Primary Care Evaluation of Mental Disorders Patient Health Questionnaire-9 (PHQ-9). Linear mixed models assessed differences in depressive symptom severity over the 5-year follow-up period by BDNF Val66Met and history of life events, both negative and positive. Analysis identified a novel three-way interaction between the BDNF Val66Met polymorphism, history of severe childhood abuse, and time. Post hoc analysis stratified by time showed a two-way interaction between Val66Met and severe childhood abuse at baseline that was not detectable at any other time point. An interaction between Val66Met and positive life events was not detected. Our longitudinal results suggest that the BDNF Val66Met polymorphism moderates the depressive symptom severity experienced by those with a history of severe childhood abuse but does so in a time-dependent manner. Our results further support the notion that gene–environment–depression interactions are dynamic and highlight the importance of longitudinal assessment of these interactions. Given these novel longitudinal findings; replication is required.
Apache-affiliated Twitter screen names: A dataset

This paper describes a new dataset containing Twitter screen names for members of the projects affiliated with the Apache Software Foundation (ASF). The dataset includes the confirmed Twitter screen names, as well as the real name as listed on Twitter, and the user identification as used within the Apache organization. The paper also describes the process used to collect and clean this data, and shows some sample queries for learning how to use the data. The dataset has been donated to the FLOSSmole project and is available for download (https://code.google.com/p/flossmole/downloads/detail? name=apacheTwitter20 13-Jan.zip) or direct querying via a database client.
Comparison of Clinical and Digital Radiographic Detection of Occlusal and Proximal Dental Caries in Caries-active Adults

Mario D. Ramos: Comparison of clinical and digital radiographic detection of occlusal and proximal dental caries in caries-active adults. (Under the direction of Dr. André V. Ritter) Radiographs have been shown to be an important adjunct to visual-tactile caries exams, but its contribution to a caries examination in caries-active adults has not been fully determined. Aims: to determine the extent of the agreement between a clinical examination (CE) and a radiographic examination (RE) in detecting presumptive caries lesions on occlusal and proximal surfaces of posterior teeth of participants enrolled in the UNC arm of the Xylitol for Adult Caries Trial (X-ACT); and to determine the additional caries diagnostic yield on occlusal and proximal surfaces of posterior teeth for those participants. Materials and methods: Baseline dental CE data from participants (21-80 years old) enrolled in the UNC arm of the X-ACT study site were used. Participants had a complete set of interproximal radiographs obtained within 7 months of the date of the CE (n=114). After IRB approval, radiographs of proximal and occlusal surfaces of the posterior teeth were assessed independently by two examiners on 114 participants' records (442 bitewings). The raw data for this study therefore consisted of surface-level clinical and radiographic scores coded as disease, non-disease, or missing. Descriptive statistics were obtained for all surfaces and by surface type (occlusal vs. proximal). Kappa statistics were used as an estimate of agreement between the clinical and the radiographic exams. The data were analyzed using Microsoft Excel 2007 and SAS. Results: A total of 2415 surfaces were examined by both CE and RE (722 occlusal and 1693 proximal surfaces). There were 1233 (34%) surfaces considered missing. Among all surfaces combined, Kappa between CE and RE was 0.18. When occlusal and proximal surfaces were analyzed separately, the Kappa between CE and RE were 0.04 and 0.18, respectively. The additional diagnostic yield by RE over CE was 69.2% for all surfaces combined, (54.6% for occlusal surfaces, and 71.0% for proximal surfaces). Conclusions: There is poor agreement between a CE and RE when used to detect caries in posterior teeth of caries-active adults. However, a radiographic caries exam performed within iv 7 months of the date of the clinical exam adds substantial diagnostic yield to the clinical exam, especially on proximal surfaces. v To my heroes Elizabeth and Mario, whom loves and support make all things possible. To Rosa, my helper, supporter, best friend and …
Performance of thin film polyvinylidenefluoride (PVDF) for pyroelectric energy harvesting

Low-grade waste heat and abundantly available thermal energy has the potential to be harvested by the pyroelectric effect. For uniaxial radiative heating we report elliptic temperature profiles in lead zirconium titanate and polyvinylidenefluoride. The geometry, heat diffusion coefficient and pyroelectric coefficient of the material determine the harvesting potential of a pyroelectric generator. At high temperature oscillation frequencies, thin film media performs more effectively than thick media for harvesting.
Detection of table structure and content extraction from scanned documents

Tables are one of the efficient information conveying methods used now days in larger extent. This paper report a fast, language independent (English and Tamil), skilled technique for table structure detection and its content extraction from a scanned document image based on morphological operation, connected components and labeling. From the conducted exhaustive experimentation, it is observed that the proposed method is the fastest approach because of its simple operations. In addition with that it is noticed that it does not lead to any kind of degradation in the extracted table content since after detecting contents location it is retrieved from the original image. More over it is also very interesting to note that the presented approach works well for documents with different font's size and font styles.
SOCIAL FACTORS AND NEW VENTURE DECISIONS. AN ANALYSIS BASED ON THE STUDY OF COGNITIVE FACTORS

of León. Her research interests include ownership structure, growing and contractual mechanisms in franchising and their effects on SME as well as entrepreneurial processes. Her contributions have been accepted to publish in journals such as Journal of Business Venturing and Journal of Small Business Management. Javier Guzmán-Goyanes is currently doing his PhD at the University of León on entrepreneurship under the supervision of Prof. González-Álvarez. More specifically, he is working on the discovery of business opportunities and new venture decisions. His contributions have been presented in international conferences such the Workshops of research based on GEM. Abstract The main goal of this study is to analyse the influence of social capital (the set of networks that influence individuals by interacting with them) and two cognitive characteristics in individuals (self-efficacy and fear of failure) on new venture decisions. A study was carried out on social capital and on cognitive factors with a view to drawing up a set of hypotheses allowing analysis of the relations between these concepts and the decision to set up a business initiative. The hypotheses were then tested on a sample of 28,888 individuals belonging to the Spanish working-age population drawn from the GEM 2009 report. The results indicate that, although both social and cognitive factors have a direct influence on new venture decisions, social factors also influence cognitive factors so that the latter act as mediating variables between social factors and the new venture decision.
Edge profiling versus path profiling: the showdown

Edge profiles are the traditional control flow profile of choice for profile-directed compilation. They have been the basis of path-based optimizations that select "hot" paths, even though edge profiles contain strictly less information than path profiles. Recent work on path profiling has suggested that path profiles are superior to edge profiles in practice.We present theoretic and algorithmic results that may be used to determine when an edge profile is a good predictor of hot paths (and what those hot paths are) and when it is a poor predictor. Our algorithms efficiently compute sets of definitely and potentially hot paths in a graph annotated with an edge profile. A definitely hot path has a frequency greater than some non-zero lower bound in all path profiles that induce a given edge profile.Experiments on the SPEC95 benchmarks show that a huge percentage of the execution frequency in these programs is dominated by definitely hot paths (on average, 84% for FORTRAN benchmarks and 76% for C benchmarks). We also show that various hot path selection algorithms based on edge profiles work extremely well in most cases, but that path profiling is needed in some cases. These results indicate the usefulness of our algorithms for characterizing edge profiles and selecting hot paths.
The PCNA-associated protein PARI negatively regulates homologous recombination via the inhibition of DNA repair synthesis

Successful and accurate completion of the replication of damage-containing DNA requires mainly recombination and RAD18-dependent DNA damage tolerance pathways. RAD18 governs at least two distinct mechanisms: translesion synthesis (TLS) and template switching (TS)-dependent pathways. Whereas TS is mainly error-free, TLS can work in an error-prone manner and, as such, the regulation of these pathways requires tight control to prevent DNA errors and potentially oncogenic transformation and tumorigenesis. In humans, the PCNA-associated recombination inhibitor (PARI) protein has recently been shown to inhibit homologous recombination (HR) events. Here, we describe a biochemical mechanism in which PARI functions as an HR regulator after replication fork stalling and during double-strand break repair. In our reconstituted biochemical system, we show that PARI inhibits DNA repair synthesis during recombination events in a PCNA interaction-dependent way but independently of its UvrD-like helicase domain. In accordance, we demonstrate that PARI inhibits HR in vivo, and its knockdown suppresses the UV sensitivity of RAD18-depleted cells. Our data reveal a novel human regulatory mechanism that limits the extent of HR and represents a new potential target for anticancer therapy.