LLukas22/scidocs huggingface dataset:
Author ' s personal copy Video gameplay , personality and academic performance

The relationship between video gameplay, video game genre preference, personality, and GPA was investigated in an online correlational study with university students. In addition to administering selfreport measures of GPA and personality, we asked three different questions regarding styles of video gameplay. The first asked the average time spent playing video games per week (habitual players), the second asked the total time spent playing favorite video games (selective players), and the third asked the number of different video games played in a year (diverse players). Students who were medium in selective player style (spent 11–50 h) had significantly higher GPAs than students low on selective player style (spent 0–10 h). Students high on habitual playing style (7 or more hours a week) showed significantly lower levels of Conscientiousness compared to students low on habitual playing style (0–1 h a week). Students who were high on the diverse style (i.e., 7 or more games played a year) showed significantly higher Openness scores than students low on the diverse style (0–3 games a year). Finally, several notable relations were found between video game genre preference, GPA, and personality. Results are discussed in terms of the positive implications of video gameplay on academic performance. 2011 Elsevier Ltd. All rights reserved.
Trading Volume and Stock Returns : Evidence from Pakistan ’ s Stock Market

This paper investigates empirical contemporaneous and causal relationships between stock returns, trading volume and volatility of stock index in Pakistan’s stock market. The data relates to Karachi Stock Exchange (KSE-100 Index) and cover the period from Jan 2001 to May 2007. Granger Causality tests were employed to test whether trading volume precedes stock returns, or vice versa. GARCH (1,1) model was employed to test whether the positive contemporaneous relationship between trading volume and stock returns still exists after controlling for non-normality of error distribution. The study finds positive contemporaneous relationship between trading volume and return preserves after taking heteroskedasticity in to account. Moreover, VAR finds a feedback relationship between stock returns and trading volume, i.e., returns cause volume and volume causes returns which is consistent with the theoretical models that imply information content of volume affects future stock returns.
An anisotropic elastic-viscoplastic damage model for bone tissue.

A new anisotropic elastic-viscoplastic damage constitutive model for bone is proposed using an eccentric elliptical yield criterion and nonlinear isotropic hardening. A micromechanics-based multiscale homogenization scheme proposed by Reisinger et al. is used to obtain the effective elastic properties of lamellar bone. The dissipative process in bone is modeled as viscoplastic deformation coupled to damage. The model is based on an orthotropic ecuntric elliptical criterion in stress space. In order to simplify material identification, an eccentric elliptical isotropic yield surface was defined in strain space, which is transformed to a stress-based criterion by means of the damaged compliance tensor. Viscoplasticity is implemented by means of the continuous Perzyna formulation. Damage is modeled by a scalar function of the accumulated plastic strain [Formula: see text] , reducing all element s of the stiffness matrix. A polynomial flow rule is proposed in order to capture the rate-dependent post-yield behavior of lamellar bone. A numerical algorithm to perform the back projection on the rate-dependent yield surface has been developed and implemented in the commercial finite element solver Abaqus/Standard as a user subroutine UMAT. A consistent tangent operator has been derived and implemented in order to ensure quadratic convergence. Correct implementation of the algorithm, convergence, and accuracy of the tangent operator was tested by means of strain- and stress-based single element tests. A finite element simulation of nano- indentation in lamellar bone was finally performed in order to show the abilities of the newly developed constitutive model.
Joint anycast and unicast routing for elastic optical networks: Modeling and optimization

Anycast communication is gaining much interest due to the deployment and the growing importance of new network services, including Content Delivery Networks (CDNs) and grid/cloud computing, among others. Concurrently, elastic optical networks (EONs), being a very promising solution for future optical transport networks, are considered as effective and cost-efficient approach for supporting such bandwidth-demanding applications. In this article, we focus on anycast communication in EON. Specifically, we formulate a joint anycast and unicast Routing and Spectrum Allocation (RSA/JAU) off-line optimization problem and solve it by means of both Integer Linear Programming (ILP) and dedicated heuristic algorithms. We evaluate the performance of algorithms and assess the effectiveness of anycast communication under various network scenarios. The main conclusion is that anycast routing brings significant spectrum savings in EON.
Deep Learning for Human Activity Recognition in Mobile Computing

By leveraging advances in deep learning, challenging pattern recognition problems have been solved in computer vision, speech recognition, natural language processing, and more. Mobile computing has also adopted these powerful modeling approaches, delivering astonishing success in the field’s core application domains, including the ongoing transformation of human activity recognition technology through machine learning.
Erratum to: The effect of budesonide/formoterol pressurized metered-dose inhaler on predefined criteria for worsening asthma in four different patient populations with asthma

BACKGROUND
Previous studies have shown disparities between Black and Hispanic patients compared with other populations in response to asthma medications.


OBJECTIVE
The aim of this analysis was to assess the effect of budesonide/formoterol pressurized metered-dose inhaler (BUD/FM pMDI) and BUD on predefined criteria for asthma worsening, an asthma control metric generally aligned with definitions of moderate asthma exacerbations, across four different populations.


METHODS
Data were from four 12-week, randomized, double-blind, US studies of BUD/FM pMDI treatment in patients aged 12 years or older with varying asthma severities and of varying races. Predefined asthma events and withdrawals due to predefined events were assessed as secondary study endpoints. Study I (NCT00651651) includes data from predominantly White patients with mild to moderate asthma who were randomized to BUD/FM pMDI 160/9 μg twice daily (bid; n = 123) or BUD pMDI 160 μg bid (n = 121). Study II (NCT00652002) includes data from predominantly White patients with moderate to severe asthma who were randomized to BUD/FM pMDI 320/9 μg bid (n = 124) or BUD pMDI 320 μg bid (n = 109). Study III (NCT00702325) included self-reported Black patients with moderate to severe asthma who were randomized to BUD/FM pMDI 320/9 μg bid (n = 153) or BUD dry powder inhaler 360 μg bid (n = 148). Study IV (NCT00419757) included self-reported Hispanic patients with moderate to severe asthma who were randomized to BUD/FM pMDI 320/9 μg bid (n = 127) or BUD pMDI 320 μg bid (n = 123). Patients were to be withdrawn from the studies if they developed an asthma event, as determined by predefined criteria, except for night-time awakenings, where withdrawal was left to the study physician's judgment.


RESULTS
Overall, fewer patients in the studies (study I, II, III, and IV, respectively) experienced ≥1 asthma event in the BUD/FM group (18.7%, 29.8%, 37.3%, 25.2%) versus the BUD group (21.5%, 44.0%, 45.3%, 31.7%); only study II results showed a statistically significant difference between treatments. Fewer patients with moderate to severe asthma (studies II, III, and IV) were withdrawn due to ≥1 asthma event in the BUD/FM group (10.5%, 11.8%, 3.1%, respectively) than in the BUD group (20.2%, 18.9%, 6.5%, respectively); however, percentages were similar in the BUD/FM (7.3%) and BUD (6.6%) groups in patients with mild to moderate asthma (study I).


CONCLUSIONS
Predefined asthma event rates were numerically or significantly lower for patients with asthma receiving BUD/FM pMDI versus BUD, regardless of race or disease severity. Differences between the BUD/FM pMDI and BUD groups were smaller in patients with mild to moderate asthma than in those with moderate to severe asthma, most likely because patients with milder disease had lower asthma event rates. Overall, these findings support the efficacy of BUD/FM pMDI in achieving asthma control in patients with moderate to severe asthma.
A Worldwide Map of Plasmodium falciparum K13-Propeller Polymorphisms.

BACKGROUND
Recent gains in reducing the global burden of malaria are threatened by the emergence of Plasmodium falciparum resistance to artemisinins. The discovery that mutations in portions of a P. falciparum gene encoding kelch (K13)-propeller domains are the major determinant of resistance has provided opportunities for monitoring such resistance on a global scale.


METHODS
We analyzed the K13-propeller sequence polymorphism in 14,037 samples collected in 59 countries in which malaria is endemic. Most of the samples (84.5%) were obtained from patients who were treated at sentinel sites used for nationwide surveillance of antimalarial resistance. We evaluated the emergence and dissemination of mutations by haplotyping neighboring loci.


RESULTS
We identified 108 nonsynonymous K13 mutations, which showed marked geographic disparity in their frequency and distribution. In Asia, 36.5% of the K13 mutations were distributed within two areas--one in Cambodia, Vietnam, and Laos and the other in western Thailand, Myanmar, and China--with no overlap. In Africa, we observed a broad array of rare nonsynonymous mutations that were not associated with delayed parasite clearance. The gene-edited Dd2 transgenic line with the A578S mutation, which expresses the most frequently observed African allele, was found to be susceptible to artemisinin in vitro on a ring-stage survival assay.


CONCLUSIONS
No evidence of artemisinin resistance was found outside Southeast Asia and China, where resistance-associated K13 mutations were confined. The common African A578S allele was not associated with clinical or in vitro resistance to artemisinin, and many African mutations appear to be neutral. (Funded by Institut Pasteur Paris and others.).
Intelligent Design Creationism and the Mechanisms of Postmodernity

Abstract: This article provides a critical reading of Intelligent Design proponents' attempt to create a wedge in secular society to reinsert a theistic worldview. It argues they assert their wedge via the mechanisms of postmodernity: following Frederic Jameson, those informational elements of mass culture that allow them to present their ideas as an alternate to that posed by evolutionary biology. It centres on a representation (by the philosopher of science Robert Pennock) of Intelligent Design advocate, Philip E. Johnson as a postmodern thinker. This article revises Pennock, claiming that while Johnson does attack modern science in his project to champion Intelligent Design, Johnson is not a representative of many precepts of postmodernity. In particular, this chapter reads Johnson as clearly supporting a Christian metanarrative. Moreover, Johnson is a representative of a strategy formulated by the conservative organization, The Discovery Institute, and their campaign called the Wedge Strategy. Exempli...
Physiological characterization and evaluation of common bean genotypes against anthracnose ( Colletotrichum lindemuthianum ( Sacc . and Magnus ) Lams-Scriber ) races in West Shewa , Ethiopia

Available online on http://www.ijlsci.in ISSN: 2320-964X (Online) ISSN: 2320-7817 (Print) Common bean (Phaseolus vulgaris L.) is an important legume crop in the daily diet and good source of cash and food nutrients. Despite its economic significance, anthracnose disease caused by Colletotrichum lindemuthianum (Sacc. and Magnus) Lams-Scriber is one of the most destructive diseases and causes significant yield losses in common bean growing areas. The pathogen possesses a very high degree of pathogenic variability, but there are lack of knowledge of population race structure and variability of the pathogen in West Shewa Zone, Ethiopia. Therefore, the present study was conducted to identify C. lindemuthianum races and evaluation of common bean genotypes against the virulent isolates. Race analysis was carried out by inoculating 51 isolates on to the 12 differential hosts. Among 51 isolates, 15 physiological races were identified and designated as races 19, 67, 68, 73, 82, 99, 128, 154, 296, 389, 589, 649, 1033, 1403 and 1703 of which 10 of them (19, 67, 82, 99, 154, 389, 649, 1033, 1403 and 1703) were new races identified for the first time in Ethiopia. The most virulent race was 1703 made seven differential hosts’ resistant genes ineffective and the least virulent race was 128, which conquer only one resistant gene of the differential cultivar. There were no races found to be pathogenic to differential cultivar G2333 and the differential cultivar, Michelite was found to be the most susceptible with virulence gene frequency of 64.7%. Besides, differential cultivar Widusa, TO and AB136 were highly resistant while G2333 was the highest resistant to all isolates. Among 36 common bean genotypes screened against seven virulent races, 19.4% were resistant and 16.2% highly susceptible to the virulent races. Thus, the effective differential cultivars and common bean genotypes could serve as sources of resistant genes under West Shewa Zone, Ethiopia. In general, the results of this study are very promising for enhancing common bean production and improving food security in study area.
Hybrid Collaborative Recommendation via Semi-AutoEncoder

In this paper, we present a novel structure, Semi-AutoEncoder, based on AutoEncoder. We generalize it into a hybrid collaborative filtering model for rating prediction as well as personalized top-n recommendations. Experimental results on two real-world datasets demonstrate its state-of-the-art performances.
Preliminary evidence that cinnamon improves menstrual cyclicity in women with polycystic ovary syndrome: a randomized controlled trial.

OBJECTIVE
To determine the effect of cinnamon on menstrual cyclicity and metabolic dysfunction in women with polycystic ovary syndrome (PCOS).


STUDY DESIGN
In a prospective, placebo controlled, double-blinded randomized trial, 45 women with PCOS were randomized (1:1) to receive cinnamon supplements (1.5 g/d) or placebo for 6 months. Menstrual cyclicity (average cycles/month) during the 6 months study period was compared between the 2 groups using the Mann-Whitney U test. Changes in menstrual cyclicity and insulin resistance between baseline and the 6 month study period were compared between the 2 groups using Wilcoxon signed rank tests.


RESULTS
The 45 women were randomized, 26 women completed 3 months of the study, and 17 women completed the entire 6 months of the study. During the 6 month intervention, menstrual cycles were more frequent in patients taking cinnamon compared with patients taking placebo (median, 0.75; interquartile range, 0.5-0.83 vs median, 0.25; interquartile range, 0-0.54; P = .0085; Mann Whitney U). In patients taking cinnamon, menstrual cyclicity improved from baseline (+ 0.23 cycles/month 95% confidence interval, 0.099-0.36), yet did not improve for women taking placebo. (P = .0076, Wilcoxon signed rank). Samples (n = 5) of serum from the luteal phase in different patients within the cinnamon group were thawed and ovulatory progesterone levels (>3 ng/mL) confirmed. Luteal phase progesterone levels (>3 ng/mL, n = 5) confirmed ovulatory menses. Measures of insulin resistance or serum androgen levels did not change for either group.


CONCLUSION
These preliminary data suggest that cinnamon supplementation improves menstrual cyclicity and may be an effective treatment option for some women with PCOS.
Modelling and predicting news popularity

We explore the problem of learning to predict the popularity of an article in online news media. By “popular” we mean an article that was among the “most read” articles of a given day in the news outlet that published it. We show that this cannot be modelled simply as the binary classification task of separating popular from unpopular articles, thereby assuming that popularity is an absolute property. Instead, we propose to view popularity in the perspective of a competitive situation where the popular articles are those which were the most appealing on that particular day. This leads to the notion of an “appeal” function, to model which we use a linear function in the bag of words representation. The parameters of this linear function are learnt from a training set formed by pairs of documents, one of which was popular and the other which appeared on the same page and date, without becoming popular. To learn the appeal function we use Ranking Support Vector Machines, using data collected from six different outlets over a period of 1 year. We show that our method can predict which articles will become popular, as well as extracting those keywords that mostly affect the appeal function. This also enables us to compare different outlets from the point of view of their readers’ preference patterns. Remarkably, this is achieved using very limited information, namely the textual content of title and description of each article, the page and date of publication, and whether it became popular.
TEACHING STYLES AND APPROACHES: MEDICAL STUDENT'S PERCEPTIONS OF ANIMATION-BASED LECTURES AS A PEDAGOGICAL INNOVATION

Background: Despite over dependence on PowerPoint, few studies have focused on the value of animations versus static illustrations in Physiology teaching. This study was aimed to assess first year undergraduate medical student’s response towards the effectiveness of Animation-based Lectures (ABL) in Physiology and its comparison with other existing teaching modalities. Methods: A questionnaire with a five-point Likert scale rating ABL effectiveness on various aspects was administered and its comparison with other teaching methodologies was done. Results: Students had an overall positive attitude towards ABL and it was perceived as more useful than equivalent static learning material of PowerPoint or transparency which provided a passive unsuitable learning environment. Conclusion: This study suggests that educators should encourage use of ABL to sustain interest and try to achieve a balance between old form of board teaching and the new innovative world of animations without too reliance on PowerPoint to sustain interest and promote student engagement in lectures which may have a stimulatory effect on student learning methods
Optimal design of miniature piezoelectric fans for cooling light emitting diodes

Piezoelectric fans have emerged as a viable cooling technology for the thermal management of electronic devices with their low power consumption, minimal noise emission, and small and configurable dimensions. In this work, these fans are investigated for application in the cooling of electronics components and light emitting diodes (LEDs). Different experimental configurations are considered, and the effect of varying the fan amplitude, the distance between the fan and the heat source, the fan length, its frequency offset from resonance, and the fan offset from the center of the heat source are studied to assess the cooling potential of piezoelectric fans. A design-of-experiments (DOE) analysis revealed the fan frequency offset from resonance and the fan amplitude as the critical parameters. Transfer functions are obtained from the DOE analysis for the implementation of these fans in electronics cooling. For the best case, an enhancement in convective heat transfer coefficient exceeding 375% relative to natural convection was observed, resulting in a temperature drop at the heat source of more than 36.4/spl deg/C.
The importance of protein kinase A in prostate cancer: relationship to patient outcome in Radiation Therapy Oncology Group trial 92-02.

PURPOSE
We previously reported that protein kinase A type I (PKA(RIalpha)) overexpression was predictive of outcome in prostate cancer patients treated with radiotherapy (RT) +/- short-term androgen deprivation (STAD) on Radiation Therapy Oncology Group (RTOG) protocol 86-10. Here, we attempt to verify our prior findings and test the hypothesis that the relationship of the length of AD to patient outcome is affected by PKA(RIalpha) overexpression.


EXPERIMENTAL DESIGN
There were 313 cases in the RTOG 92-02 study cohort with available tissue and suitable staining by immunohistochemistry. Median follow-up was 10.1 years. The intensity of PKA(RIalpha) staining intensity was quantified manually and by image analysis. Multivariate analyses were done for overall mortality using Cox proportional hazards models and for local failure, biochemical failure, distant metastasis, and cause-specific mortality using Fine and Gray's regression models.


RESULTS
The expression levels of PKA(RIalpha), determined by manual and image analysis, were strongly correlated (P < 0.0001). In the multivariate analyses, manual-quantified and image analysis-quantified PKA(RIalpha) staining intensities were independent predictors of distant metastasis (P < 0.01), local failure (P < 0.05), and biochemical failure (P <or= 0.01). Furthermore, the benefit of long-term AD over STAD was much less when PKA(RIalpha) expression was high.


CONCLUSIONS
PKA(RIalpha) overexpression has been shown in two RTOG trials to be associated with an increased risk of failure after AD + RT. In this series of contemporary high-risk patients, PKA(RIalpha) overexpression was associated with diminished response to LTAD + RT relative to STAD + RT, suggesting that such patients would be ideal for a PKA(RIalpha) knockdown strategy.
IIPS: Infrastructure IP for Secure SoC Design

Security is becoming an increasingly important parameter in current system-on-chip (SoC) design due to diverse hardware security attacks that can affect manufacturers, system designers or end users. To effectively address the security issues, design-time considerations, e.g. incorporation of design-for-security (DfS) features, are becoming essential. However, DfS measures for diverse security threats require specific design modifications to achieve target security level, which significantly increases design effort thus time-to-market, and usually incurs considerable design overhead. In addition, the general heterogeneous architecture of current SoCs makes many core-level DfS mechanisms unusable at SoC level. In this paper, we propose a centralized on-chip infrastructure IP for SoC security (IIPS), which alleviates the SoC designers from separately addressing different security issues through design modifications in multiple cores. It also provides ease of integration and functional scalability. We consider a specific implementation of IIPS that provides protection against: (1) scan-based attack for information leakage through low-overhead authentication; (2) counterfeiting attacks through integration of a Physical Unclonable Function (PUF); and (3) hardware Trojan attacks through a test infrastructure fortrust validation. To make the IP amenable for plug-and-play during SoC design, working protocols of the security functions are designed to comply with IEEE 1500 Standard for Embedded Core Test (SECT). Since IIPS resides outside the functional modules, it does not incur functional performance or power overhead. Simulations and experiments on example SoC designs validate the effectiveness of IIPS in providing protections against diverse attacks at a low hardware overhead.