Miracle-dz/UniFAR-FTUs huggingface dataset:
Designing Online Knowledge Communities: Developing a Usability Evaluation Criteria Catalogue

Usability is a key factor for the effectiveness, efficiency and acceptance of Online Knowledge Communities (OKCs). It is also a critical issue for their existence, success and future evolution. This paper aims at laying a foundation for the devel- opment of a usability evaluation criteria catalogue. Usability for online communities is outlined first. A systematic overview of facility-types and technical components of OKCs provides the basis for the development of usability criteria. As main find- ings of our research extracts from the OKC Usability Evaluation Criteria Catalogue are presented. This OKC Usability Evaluation Criteria Catalogue supports summa- tive evaluation of OKCs as well as the development of heuristics for the designing of OKCs.
Stigma, self-esteem, and depression in adolescent patients with epilepsy

Introduction Epilepsy affects close to 1% of adolescents. Adolescents with epilepsy (AWE) experience comorbid psychiatric disorders, the most common of which is depression. Epilepsy in adolescents is associated with a perceived stigma of epilepsy and with low self-esteem. Objective This study aims to evaluate depression, perceived illness stigma of epilepsy, and self-esteem in a sample of AWE, and to evaluate the association between depression and the latter two variables in these patients. Patients and methods This is a cross-sectional case–control study. Adolescents (14–22 years of age) with idiopathic epilepsy in Kasr Al Ainy outpatient epilepsy clinic were interviewed using Structured Clinical Interview for DSM-IV Axis-I Disorders to assess the presence of depressive disorders. A total of 30 AWE with depression and 30 AWE without depression (as controls) were recruited, using convenient purposive sampling. The Internalized Stigma of Mental Illness Scale was used to assess perceived illness stigma of epilepsy and the Rosenberg Self-Esteem Scale was used to assess self-esteem in both cases and controls. Patients with depression were also interviewed by Beck Depression Inventory. Results Perceived internalized stigma of epilepsy was significantly higher and self-esteem was lower in the AWE with depression compared with patients without depression. Conclusion Perceived illness stigma of epilepsy and self-esteem are associated with depression in AWE.
Sequences determining the cytoplasmic localization of a chemoreceptor domain

The Escherichia coli serine chemoreceptor (Tsr) is a protein with a simple topology consisting of two membrane-spanning sequences (TM1 and TM2) separating a large periplasmic domain from N-terminal and C-terminal cytoplasmic regions. We analyzed the contributions of several sequence elements to the cytoplasmic localization of the C-terminal domain by using chemoreceptor-alkaline phosphatase gene fusions. The principal findings were as follows. (i) The cytoplasmic localization of the C-terminal domain depended on TM2 but was quite tolerant of mutations partially deleting or introducing charged residues into the sequence. (ii) The basal level of C-terminal domain export was significantly higher in proteins with the wild-type periplasmic domain than in derivatives with a shortened periplasmic domain, suggesting that the large size of the wild-type domain promotes partial membrane misinsertion. (iii) The membrane insertion of deletion derivatives with a single spanning segment (TM1 or TM2) could be controlled by either an adjacent positively charged sequence or an adjacent amphipathic sequence. The results provide evidence that the generation of the Tsr membrane topology is an overdetermined process directed by an interplay of sequences promoting and opposing establishment of the normal structure.
Introducing Infocards in NGN to Enable User-Centric Identity Management

With the rapid evolution of networks and the widespread penetration of mobile devices with increasing capabilities, that have already become a commodity, we are getting a step closer to ubiquity. Thus, we are moving a great part of our lives from the physical world to the online world, i.e. social interactions, business transactions, relations with government administrations, etc. However, while identity verification is easy to handle in the real world, there are many unsolved challenges when dealing with digital identity management, especially due to the lack of user awareness when it comes to privacy. Thus, with the aim to enhance the navigation experience and security in multiservice and multiprovider environments the user must be empowered to control how her attributes are shared and disclosed between different domains.With these goals on mind, we leverage the benefits of the Infocard technology and introduce this usercentric paradigm into the emerging NGN architectures. This paper proposes a way to combine the gains of a SAML federation between service and identity providers with the easiness for the final user of the Inforcard System using the well known architectural schema of IP Multimedia Subsystem.
Acute effects of chocolate milk and a commercial recovery beverage on postexercise recovery indices and endurance cycling performance.

To maximize training quality, athletes have sought nutritional supplements that optimize recovery. This study compared chocolate milk (CHOC) with a carbohydrate replacement beverage (CRB) as a recovery aid after intense exercise, regarding performance and muscle damage markers in trained cyclists. Ten regional-level cyclists and triathletes (maximal oxygen uptake 55.2 +/- 7.2 mL.kg(-1). min(-1)) completed a high-intensity intermittent exercise protocol, then 15-18 h later performed a performance trial at 85% of maximal oxygen uptake to exhaustion. Participants consumed 1.0 g carbohydrate.kg-1.h-1 of a randomly assigned isocaloric beverage (CHOC or CRB) after the first high-intensity intermittent exercise session. The same protocol was repeated 1 week later with the other beverage. A 1-way repeated measures analysis of variance revealed no significant difference (p = 0.91) between trials for time to exhaustion at 85% of maximal oxygen uptake (CHOC 13 +/- 10.2 min, CRB 13.5 +/- 8.9 min). The change in creatine kinase (CK) was significantly (p < 0.05) greater in the CRB trial than in the CHOC trial (increase CHOC 27.9 +/- 134.8 U.L(-1), CRB 211.9 +/- 192.5 U.L(-1)), with differences not significant for CK levels before the second exercise session (CHOC 394.8 +/- 166.1 U.L(-1), CRB 489.1 +/- 264.4 U.L(-1)) between the 2 trials. These findings indicate no difference between CHOC and this commercial beverage as potential recovery aids for cyclists between intense workouts.
Distortion-driven Turbulence Effect Removal using Variational Model

It remains a challenge to simultaneously remove geometric distortion and space-time-varying blur in frames captured through a turbulent atmospheric medium. To solve, or at least reduce these effects, we propose a new scheme to recover a latent image from observed frames by integrating a new variational model and distortion-driven spatial-temporal kernel regression. The proposed scheme first constructs a high-quality reference image from the observed frames using low-rank decomposition. Then, to generate an improved registered sequence, the reference image is iteratively optimized using a variational model containing a new spatial-temporal regularization. The proposed fast algorithm efficiently solves this model without the use of partial differential equations (PDEs). Next, to reduce blur variation, distortion-driven spatial-temporal kernel regression is carried out to fuse the registered sequence into one image by introducing the concept of the near-stationary patch. Applying a blind deconvolution algorithm to the fused image produces the final output. Extensive experimental testing shows, both qualitatively and quantitatively, that the proposed method can effectively alleviate distortion and blur and recover details of the original scene compared to state-of-the-art methods.
Defunctionalized interpreters for programming languages

This document illustrates how functional implementations of formal semantics (structural operational semantics, reduction semantics, small-step and big-step abstract machines, natural semantics, and denotational semantics) can be transformed into each other. These transformations were foreshadowed by Reynolds in "Definitional Interpreters for Higher-Order Programming Languages" for functional implementations of denotational semantics, natural semantics, and big-step abstract machines using closure conversion, CPS transformation, and defunctionalization. Over the last few years, the author and his students have further observed that functional implementations of small-step and of big-step abstract machines are related using fusion by fixed-point promotion and that functional implementations of reduction semantics and of small-step abstract machines are related using refocusing and transition compression. It furthermore appears that functional implementations of structural operational semantics and of reduction semantics are related as well, also using CPS transformation and defunctionalization. This further relation provides an element of answer to Felleisen's conjecture that any structural operational semantics can be expressed as a reduction semantics: for deterministic languages, a reduction semantics is a structural operational semantics in continuation style, where the reduction context is a defunctionalized continuation. As the defunctionalized counterpart of the continuation of a one-step reduction function, a reduction context represents the rest of the reduction, just as an evaluation context represents the rest of the evaluation since it is the defunctionalized counterpart of the continuation of an evaluation function.
SMEs and Marketing: A Systematic Literature Review

This paper presents a systematic review of recent academic literature analysing the role, organization and management of marketing activities in small and medium-sized enterprises (SMEs). To this end, 310 articles published between 2006 and 2015 in 69 main journals devoted to small firms/entrepreneurship and management/marketing fields were analysed. This review shows that SMEs’ marketing has received great attention in both management and marketing literature in recent years. Findings reveal, on the one hand, the emerging role of networks and information and communication technologies in marketing behaviour by SMEs, and on the other hand a research gap in terms of specific marketing practices. Entrepreneurial marketing has been used as the main conceptual framework in reviewed studies, even if findings overall still point out a distance between the theoretical bases of reviewed contributions and the study of SMEs’ marketing behaviour and practices. Therefore, future research on the role of resources, relationships and networks could benefit from the combination of theories developed within the field of entrepreneurship with other approaches such as the resource-based view, the dynamic capabilities theory and the Industrial Marketing and Purchasing (IMP) framework.
Incremental Learning for Dynamic Collaborative Filtering

Collaborative Filtering (CF) is one of the widely used methods for recommendation problem. The key idea is to predict further the interests of a user (ratings) based on the available rating information from many users. Recently, matrix factorization (MF) based approaches, one branch of collaborative filtering, have proven successful for the rating prediction issues. However, most of the state-of-the-art MF models share the same drawback that the established models are static. They are only capable of handling CF systems with static settings, but never practical for a real-world system, which involves dynamic scenarios like new user signing in, new item being added and new rating being given now and then. For conventional MF models, they have to conduct repetitive learning every time dynamic scenario occurs. It is computational expensive and hard to meet the real-time demand. Therefore, an incremental learning framework based on Weighted NMF is proposed. To reduce the computational cost, it utilizes partially the optimization information from the original system, and stores some corresponding information for the subsequent incremental model. Our empirical studies show that the IWNMF scheme for different dynamic scenarios greatly lower the computational cost without degrading the prediction accuracy.
Motion planning for skateboard-like robots in dynamic environments

Unfortunately, computers have very limited “reasoning” abilities. However, they have vast computational power. Due to this, the space of motions of a robot must be searched until a motion that leads to the goal location is reached. Unfortunately, the dimensionality of this space is often sufficiently large that a typical search or even a probabilistic roadmap-based approach (see “Finding Paths”), would not be computationally feasible. In order to overcome this fact, humandefined heuristic functions must be used to more efficiently explore the space defining a robot’s set of available actions and their resulting motion. This article will present a generalized overview of the motion planning problem, as well as heuristic methods that improve motion planning for vehicles in dynamic environments.
Glucocorticoid induction of the glaucoma gene MYOC in human and monkey trabecular meshwork cells and tissues.

PURPOSE To examine the intracellular and extracellular expression of myocilin in the human and primate trabecular meshwork (TM) in the presence and absence of glucocorticoids. METHODS Myocilin expression was examined in cultured human TM cells by Northern blot analysis and myocilin antibody-mediated immunoprecipitation. Myocilin expression was quantified using high-resolution two-dimensional polyacrylamide gel electrophoresis of radiolabeled proteins from human TM cells, TM tissue explants, and perfused human anterior segments cultured with and without dexamethasone (DEX) for 14 to 21 days, as well as TM tissue from pigtailed monkeys treated orally for 1 year with cortisone acetate. Immunofluorescence with anti-myocilin antibodies was used to localize cellular and extracellular expression of myocilin in cultured human TM cells. RESULTS Glucocorticoid treatment caused a significant induction of myocilin mRNA, a tetrad of cell-associated proteins, and 8 to 20 secreted proteins (molecular mass [M(r)] 56 and 59 kDa and isoelectric point [pI] 5.2 and 5.3) in some, but not all the cultured human TM cells and explanted tissues. Western immunoblot analysis using anti-myocilin peptide antibodies identified these proteins as encoded by the MYOC gene. There was significant induction of the myocilin proteins in three perfusion-cultured human eyes, in which DEX-induced elevated intraocular pressure developed. Monkeys treated 1 year with cortisol acetate showed steroid glaucoma-like morphologic changes in the TM that correlated with the induction of myocilin in the TM. Immunofluorescence analysis of cultured TM cells localized myocilin intracellularly in discrete perinuclear and cytoplasmic vesicular deposits as well as extracellularly on the cell surface associated with the extracellular matrix. In several DEX-treated TM cell lines, there were significant levels of myocilin secreted into the media. Enzymatic deglycosylation of proteins in the TM media converted the higher molecular weight isoforms of myocilin (approximately 57 kDa) to the lower molecular weight isoforms ( approximately 55 kDa). CONCLUSIONS Although the function of myocilin is unknown, induction of these TM proteins was found in eyes in which glucocorticoid-induced ocular hypertension developed. Therefore, myocilin may play an important pathogenic role in ocular hypertension in addition to its role in certain forms of POAG.
The distribution of mass around galaxies

Author(s): White, Martin; Hernquist, Lars; Springel, Volker | Abstract: We explore the distribution of mass about the expected sites of galaxy formation in a high-resolution hydrodynamical simulation of a LCDM cosmology which includes cooling, star-formation and feedback. We show that the evolution of the galaxy bias is non-trivial and non-monotonic and that the bias is stochastic. We discuss the galaxy-mass cross-correlation function and highlight problems with the interpretation of galaxy-galaxy lensing as due to extended dark matter halos around ``typical'' galaxies. Finally we show that the ``external shear'' around strong gravitational lenses is likely to be closely aligned with the direction of the nearest massive galaxy and to have a power-law distribution which can be predicted from the galaxy auto-correlation function.
Measuring the first impression: testing the validity of the 5 second test

Copyright © 2016–2017, User Experience Professionals Association and the authors. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. URL: http://www.upassoc. org. Measuring the First Impression: Testing the Validity of the 5 Second Test
Investigation of Gastroduodenal Mucosal Injury in Japanese Asymptomatic Antiplatelet Drug Users

AbstractAntiplatelet drugs are widely used for the prevention of cardiovascular disease and cerebral vascular disorders. Although there have been several studies on gastroduodenal mucosal injury with gastrointestinal (GI) symptoms such as GI bleeding, in antiplatelet drug users (including low-dose aspirin (LDA)), there have been few reports on the association between antiplatelet drug use and gastroduodenal mucosal injury in asymptomatic antiplatelet drug users. This study was a cross-sectional study elucidating the association between antiplatelet drug use and gastroduodenal mucosal injury in asymptomatic antiplatelet drug users.Subjects were 186 asymptomatic Japanese antiplatelet drug users who underwent a regular health checkup. Subjects were divided into those with and without gastroduodenal mucosal injury endoscopically, and the association between gastroduodenal mucosal injury and other data in asymptomatic antiplatelet drug users was investigated.The prevalence of males and drinkers were significantly higher in subjects with gastroduodenal mucosal injury than in those without. In addition, the prevalence of proton pump inhibitor (PPI) users was significantly lower in subjects with gastroduodenal mucosal injury than in subjects without gastroduodenal mucosal injury. Logistic regression analysis showed PPI (odds ratios: 0.116; 95% confidence intervals: 0.021–0.638; P < 0.05) was a significant predictor of a decreased prevalence of gastroduodenal mucosal injury and closed-type (C-type) atrophy (3.172; 1.322–7.609; P < 0.01) was a significant predictor of an increased prevalence of severe gastroduodenal mucosal injury in asymptomatic antiplatelet drug users.Gender and lifestyle, such as drinking, may have an impact on risk of gastroduodenal mucosal injury in asymptomatic subjects taking antiplatelet drugs. Although PPI is a significant predictor of a decreased prevalence of gastroduodenal mucosal injury, including in asymptomatic antiplatelet drug users, status of gastric atrophy should also be considered against severe gastroduodenal mucosal injury.
Description of Derivations on Measurable Operator Algebras of Type I

Given a type I von Neumann algebra $M$ with a faithful normal semi-finite trace $\tau,$ let $L(M, \tau)$ be the algebra of all $\tau$-measurable operators affiliated with $M. $ We give a complete description of all derivations on the algebra $L(M, \tau). $ In particular, we prove that if $M$ is of type I$_\infty$ then every derivation on $L(M, \tau)$ is inner.
Information visualization using the Weibull distribution

Visualization has been around for more than two decades. Various techniques have been proposed, and some have found their fitting places in many applications in documentation visualization, scientific visualization, etc. To our knowledge, no one has applied the Weibull distribution's probability density functions whose flexibility lies in their adjustable shape and scale parameters to the information visualization. It is known that the different shapes and scales of the probability density functions could statistically model and effectively represent underlying data. Most data could approximately be modeled by the functions, their translations, their reflection symmetries, or a combination of them. We, therefore, explore the potential of the visualization technique which is based on the Weibull distribution's probability density functions.
Short cognitive behavioral therapy and cognitive training for adults with ADHD – a randomized controlled pilot study

In clinical practice, a growing need exists for effective non-pharmacological treatments of adult attention-deficit/hyperactivity disorder (ADHD). Here, we present the results of a pilot study of 10 adults with ADHD participating in short-term individual cognitive- behavioral therapy (CBT), 9 adults participating in cognitive training (CT), and 10 controls. Self-report questionnaires, independent evaluations, and computerized neurocognitive testing were collected before and after the treatments to evaluate change. There were distinctive pre-hypotheses regarding the treatments, and therefore the statistical comparisons were conducted in pairs: CBT vs control, CT vs control, and CBT vs CT. In a combined ADHD symptom score based on self-reports, 6 participants in CBT, 2 in CT and 2 controls improved. Using independent evaluations, improvement was found in 7 of the CBT participants, 2 of CT participants and 3 controls. There was no treatment-related improvement in cognitive performance. Thus, in the CBT group, some encouraging improvement was seen, although not as clearly as in previous research with longer interventions. In the CT group, there was improvement in the trained tasks but no generalization of the improvement to the tasks of the neurocognitive testing, the self- report questionnaires, or the independent evaluations. These preliminary results warrant further studies with more participants and with more elaborate cognitive testing.
The measurement and analysis of software change based on software repository

Software changes are inevitable during software evolution. And knowing little about changes is the most significant reason which increased the cost and risk of the changes. The approach of change complexity measurement based on software repositories is proposed in this paper. The atomic change types are defined. The change complexity model and related metric indictors are presented. And the automatic change measuring tool, shorted as CMT, based on the proposed method has been implemented, which can be used to measure the change complexity of java projects. Then the simple way to analyze the frequently changed classes and change couplings is introduced. Finally, the proposed systematic approach has been evaluated on a multi-version medium sized open source project called JEdit, which indicates the simplicity and rationality of our approach.
Recipient Suggestion for Electronic Messages Using Local Social Network Data

Social network users often want to send a message to a group of recipients. An algorithm that recommends other possible recipients given an initial set of recipients is introduced in this paper. The algorithm uses different types of local user data: proﬁle, friendship graph, posts, and social interactions (likes, comments, tags). Experimental evaluation using Facebook application demonstrated that the algorithm is able to make suggestions meaningful to experts.