LLukas22/scidocs huggingface dataset:
MDA-5 Recognition of a Murine Norovirus

Noroviruses are important human pathogens responsible for most cases of viral epidemic gastroenteritis worldwide. Murine norovirus-1 (MNV-1) is one of several murine noroviruses isolated from research mouse facilities and has been used as a model of human norovirus infection. MNV-1 infection has been shown to require components of innate and adaptive immunity for clearance; however, the initial host protein that recognizes MNV-1 infection is unknown. Because noroviruses are RNA viruses, we investigated whether MDA5 and TLR3, cellular sensors that recognize dsRNA, are important for the host response to MNV-1. We demonstrate that MDA5-/- dendritic cells(DC) have a defect in cytokine response to MNV-1. In addition, MNV-1 replicates to higher levels in MDA5-/- DCs as well as in MDA5-/- mice in vivo. Interestingly, TLR3-/- DCs do not have a defect in vitro, but TLR3-/- mice have a slight increase in viral titers. This is the first demonstration of an innate immune sensor for norovirus and shows that MDA5 is required for the control of MNV-1 infection. Knowledge of the host response to MNV-1 may provide keys for prevention and treatment of the human disease.
Systematic review of “ fi lling ” procedures for lip augmentation regarding types of material , outcomes and complications

Background: The ideal lip augmentation technique provides the longest period of efficacy, lowest complication rate, and best aesthetic results. A myriad of techniques have been described for lip augmentation, but the optimal approach has not yet been established. This systematic review with metaregression will focus on the various filling procedures for lip augmentation (FPLA), with the goal of determining the optimal approach. Methods: A systematic search for all English, French, Spanish, German, Italian, Portuguese and Dutch language studies involving FPLA was performed using these databases: Elsevier Science Direct, PubMed, Highwire Press, Springer Standard Collection, SAGE, DOAJ, Sweetswise, Free E-Journals, Ovid Lippincott Williams & Wilkins, Willey Online Library Journals, and Cochrane Plus. The reference section of every study selected through this database search was subsequently examined to identify additional relevant studies. Results: The database search yielded 29 studies. Nine more studies were retrieved from the reference sections of these 29 studies. The level of evidence ratings of these 38 studies were as follows: level Ib, four studies; level IIb, four studies; level IIIb, one study; and level IV, 29 studies. Ten studies were prospective. Conclusions: This systematic review sought to highlight all the quality data currently available regarding FPLA. Because of the considerable diversity of procedures, no definitive comparisons or conclusions were possible. Additional prospective studies and clinical trials are required to more conclusively determine the most appropriate approach for this procedure. Level of evidence: IV. © 2015 European Association for Cranio-Maxillo-Facial Surgery. Published by Elsevier Ltd. All rights reserved.
A microwave photonics-based inverse synthetic aperture radar system

We demonstrate a microwave imaging radar experimental platform, using photonic generation of linear frequency modulated waveform centered at 10GHz with 4GHz bandwidth. Distance and velocity resolution of about 5cm and 2m/s are obtained experimentally.
The Age of Social Sensing

Online social media have democratized the broadcasting of information, encouraging users to view the world through the lens of social networks. The exploitation of this lens, termed social sensing, presents challenges for researchers at the intersection of computer science and the social sciences.
Development and evaluation of a questionnaire to assess knowledge, attitudes, and behaviors towards hearing loss prevention.

OBJECTIVE
To develop and evaluate a questionnaire assessing knowledge, attitudes, and behaviors (KAB) as they pertain to hearing conservation, using the constructs of the health belief model (HBM).


DESIGN
The KAB was completed by 235 participants. Relationships between knowledge and attitudes about hearing and hearing conservation, participation in noisy activities, and use of hearing protection were examined.


STUDY SAMPLE
117 males and 118 females aged between 18 and 80 years (mean = 42.3, SD = 4.1) recruited from the Portland VA Medical Center, local universities, and a community college.


RESULTS
Knowledge scores ranged from 15.6% to 93.8%. Factor analyses revealed six attitude factors, interpreted as measuring perceived susceptibility, perceived severity, perceived benefits, perceived barriers, perceived self-efficacy, and cues to action. Over 95% of participants routinely participated in at least one noisy activity but few used hearing protection while doing so. The attitude scores of individuals who used hearing protection differed significantly from the scores of those who did not.


CONCLUSIONS
Significant relationships between use of hearing protection and scores on the KAB provide validation that the HBM is a valuable framework for understanding hearing health behaviors, and evidence that the KAB is a valid tool for assessing these attitudes and behaviors.
Prevalence of migraine in patients with restless legs syndrome: a case-control study.

OBJECTIVES
To assess and compare the prevalence of migraine in patients with restless legs syndrome (RLS) and matched controls.


BACKGROUND
Recent studies have suggested an association between migraine and RLS. Our work is the first case-control study on this subject performed in an RLS population.


METHODS
A case-control study was conducted in 47 RLS patients (27 women and 20 men aged between 18 and 65 years) and 47 age- and sex-matched controls. Validated questionnaires were used to investigate the presence of migraine, anxiety, and depression (Zung Self-Rating Anxiety and Depression scales), sleep quality (Pittsburgh Sleep Quality Index), and RLS severity (International RLS scale).


RESULTS
RLS patients had higher lifetime prevalence of migraine than non-RLS controls (53.2% vs. 25.5%, P = .005; matched-OR 1.3 [P = .019]; adjusted odds ratio (OR) 3.8 [P = .03]). No significant associations were found between RLS and active migraine with aura or inactive migraine (no episodes in the previous year). However, active migraine without aura was significantly more prevalent in patients with RLS than in controls (40.4% vs. 12.8%, P = .001; matched OR 1.5 [P = .001]; adjusted OR 2.7 [P = .04]). Within the RLS group, patients with migraine had poorer sleep quality than those without migraine (Pittsburgh Sleep Quality Index >5:100 vs. 80.9%, P = .038) but did not differ in terms of RLS severity, anxiety and depression, use of dopaminergic agonists, and body mass index.


CONCLUSION
There appears to be a relationship between RLS and migraine, in particular for active migraine without aura.
Grief in caregivers of persons with Alzheimer's disease and related dementia: a qualitative synthesis.

This article provides a meta-synthesis of studies focusing on grief in caregivers of people with Alzheimer's disease or related dementia. Through a systematic search, 11 articles met the inclusion criteria that care receivers had a diagnosis of Alzheimer's disease or related dementia, caregivers were informal caregivers, and the study focused on caregiver grief. The meta-synthesis followed a meta-ethnography approach based on reciprocal translation. Six themes were identified, namely challenges of caregiving, losses and changes in the relationship, the role of dementia in grief, striving despite dementia, utilising social support and death as a relief from caregiving. Themes are discussed within an integrated framework showing the connected relationships between themes. The devised framework of themes illustrates the general experience of caregiver grief and can be used to devise specific, targeted interventions to help caregivers to identify and work through their grief.
Dielectric mixtures: electrical properties and modeling

A review of current state of understanding of dielectric mixture properties and approaches to use numerical calculations for their modeling are presented. It is shown that interfacial polarization can yield different non-Debye dielectric responses depending on the properties of the constituents, their concentrations and geometrical arrangements. Future challenges on the subject are also discussed.
Projection-based Augmented Reality in Engineering Applications

Augmented Reality (AR) superimposes computer-generated graphics onto the user's view of the real world. Today, AR applications can occasionally be found in the late phases of the product development process (PDP), such as in training and in maintenance. Head-mounted displays (HMDs) are typically used for AR applications. HMDs still show deficiencies in terms of ergonomics and image quality. Looking at the development of VR technology, it can be stated that VR began its triumphal procession only after replacing HMDs by immersive projection technology (IPT) such as PowerWalls, CAVEs, Virtual Tables. Projection-based Augmented Reality enhances such environments towards augmented reality applications. We believe that this concept opens new application possibilities for AR – especially in the early phases of the product development process. In this paper we will describe the concept of Projection-based Augmented Reality (PBAR), introduce current hardware prototypes and discuss applications of PBAR configurations within the following areas: augmented design review, hybrid assembling simulation, hybrid modeling/sketching and visual inspection of augmented physical parts.
Tracing Fake-News Footprints: Characterizing Social Media Messages by How They Propagate

When a message, such as a piece of news, spreads in social networks, how can we classify it into categories of interests, such as genuine or fake news? Classification of social media content is a fundamental task for social media mining, and most existing methods regard it as a text categorization problem and mainly focus on using content features, such as words and hashtags. However, for many emerging applications like fake news and rumor detection, it is very challenging, if not impossible, to identify useful features from content. For example, intentional spreaders of fake news may manipulate the content to make it look like real news. To address this problem, this paper concentrates on modeling the propagation of messages in a social network. Specifically, we propose a novel approach, TraceMiner, to (1) infer embeddings of social media users with social network structures; and (2) utilize an LSTM-RNN to represent and classify propagation pathways of a message. Since content information is sparse and noisy on social media, adopting TraceMiner allows to provide a high degree of classification accuracy even in the absence of content information. Experimental results on real-world datasets show the superiority over state-of-the-art approaches on the task of fake news detection and news categorization.
Mating system of Pachycereus pringlei: an autotetraploid cactus

The mating system of the Mexican subdioecious columnar cactus, Pachycereus pringlei (Cardón), was examined by allozyme analysis. Tetrasomic patterns of inheritance were found for all polymorphic loci, indicating that the species is an autotetraploid. A model is presented that expands Ritland's (1990a) mixed mating model for autotetraploids to incorporate an arbitrary number of alleles per locus. This model is applied to the progeny arrays of several female and hermaphroditic individuals of P. pringlei. P. pringlei exhibited a complex breeding system; the multilocus estimate of outcrossing, tm, for female cacti was 0.949 and for hermaphrodites was 0.301. These results are discussed in the context of inbreeding depression and the evolution of the breeding system of this species.
Cloudbus Toolkit for Market-Oriented Cloud Computing

This keynote paper: (1) presents the 21st century vision of computing and identifies various IT paradigms promising to deliver computing as a utility; (2) defines the architecture for creating market-oriented Clouds and computing atmosphere by leveraging technologies such as virtual machines; (3) provides thoughts on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain SLA-oriented resource allocation; (4) presents the work carried out as part of our new Cloud Computing initiative, called Cloudbus: (i) Aneka, a Platform as a Service software system containing SDK (Software Development Kit) for construction of Cloud applications and deployment on private or public Clouds, in addition to supporting market-oriented resource management; (ii) internetworking of Clouds for dynamic creation of federated computing environments for scaling of elastic applications; (iii) creation of 3 party Cloud brokering services for building content delivery networks and e-Science applications and their deployment on capabilities of IaaS providers such as Amazon along with Grid mashups; (iv) CloudSim supporting modelling and simulation of Clouds for performance studies; (v) Energy Efficient Resource Allocation Mechanisms and Techniques for creation and management of Green Clouds; and (vi) pathways for future research.
Denoising Criterion for Variational Auto-Encoding Framework

Denoising autoencoders (DAE) are trained to reconstruct their clean inputs with noise injected at the input level, while variational autoencoders (VAE) are trained with noise injected in their stochastic hidden layer, with a regularizer that encourages this noise injection. In this paper, we show that injecting noise both in input and in the stochastic hidden layer can be advantageous and we propose a modified variational lower bound as an improved objective function in this setup. When input is corrupted, then the standard VAE lower bound involves marginalizing the encoder conditional distribution over the input noise, which makes the training criterion intractable. Instead, we propose a modified training criterion which corresponds to a tighter bound when input is corrupted. Experimentally, we find that the proposed denoising variational autoencoder (DVAE) yields better average loglikelihood than the VAE and the importance weighted autoencoder on the MNIST and Frey Face datasets.
Do maternal opioids reduce neonatal regional brain volumes? A pilot study

Objective:A substantial number of children exposed to gestational opioids have neurodevelopmental, behavioral and cognitive problems. Opioids are not neuroteratogens but whether they affect the developing brain in more subtle ways (for example, volume loss) is unclear. We aimed to determine the feasibility of using magnetic resonance imaging (MRI) to assess volumetric changes in healthy opioid-exposed infants.Study design:Observational pilot cohort study conducted in two maternity hospitals in New South Wales, Australia. Maternal history and neonatal urine and meconium screens were obtained to confirm drug exposure. Volumetric analysis of MRI scans was performed with the ITK-snap program.Result:Scans for 16 infants (mean (s.d.) gestational age: 40.9 (1.5) weeks, birth weight: 3022.5 (476.6) g, head circumference (HC): 33.7 (1.5 cm)) were analyzed. Six (37.5%) infants had HC <25th percentile. Fourteen mothers used methadone, four used buprenorphine and 11 used more than one opioid (including heroin, seven). All scans were structurally normal whole brain volumes (357.4 (63.8)) and basal ganglia (14.5 (3.5)) ml were significantly smaller than population means (425.4 (4.8), 17.1 (4.4) ml, respectively) but lateral ventricular volumes (3.5 (1.8) ml) were larger than population values (2.1(1.5)) ml.Conclusion:Our pilot study suggests that brain volumes of opioid-exposed babies may be smaller than population means and that specific regions, for example, basal ganglia, that are involved in neurotransmission, may be particularly affected. Larger studies including correlation with neurodevelopmental outcomes are warranted to substantiate this finding.
Radical atoms: beyond tangible bits, toward transformable materials

From GuI to TuI Humans have evolved a heightened ability to sense and manipulate the physical world, yet the digital world takes little advantage of our capacity for hand-eye coordination. A tangible user interface (TUI) builds upon our dexterity by embodying digital information in physical space. Tangible design expands the affordances of physical objects so they can Graphical user interfaces (GUIs) let users see digital information only through a screen, as if looking into a pool of water, as depicted in Figure 1 on page 40. We interact with the forms below through remote controls, such as a mouse, a keyboard, or a touchscreen (Figure 1a). Now imagine an iceberg, a mass of ice that penetrates the surface of the water and provides a handle for the mass beneath. This metaphor describes tangible user interfaces: They act as physical manifestations of computation, allowing us to interact directly with the portion that is made tangible—the “tip of the iceberg” (Figure 1b). Radical Atoms takes a leap beyond tangible interfaces by assuming a hypothetical generation of materials that can change form and CoVer STorY
Principles of Enterprise Systems

The Massachusetts Institute of Technology (MIT) through its Lean Advancement Initiative (LAI) research team has been conducting research and facilitating enterprise-level transformations in large complex sociotechnical enterprises for over fifteen years. These enterprises have spanned a broad base of industries and governmental organizations including aerospace, automotive, electronics, health care, transportation, construction, defense acquisition and logistics, research labs and many others. What has emerged from both the action research in the field and its application in case studies in graduate courses is the concept of “overarching” enterprise principles and transformation methodologies that are independent of the industry or organization. A framework for transformation that consists of a set of interdependent methodologies, tools and enterprise principles that support holistic enterprise transformation is described and includes the following five elements: 1) Key Principles of Enterprise Thinking, 2) Enterprise Transformation Roadmap, 3) Lean Enterprise Self Assessment Tool (LESAT), 4) Enterprise Strategic Analysis for Transformation (ESAT) and 5) Enterprise Architecting Framework. The application of this framework to the enterprise systems analysis and design of various industry and governmental organizations is discussed.
Child, family and environmental correlates of children's motor skill proficiency.

OBJECTIVES
To identify factors associated with children's motor skills.


DESIGN
Cross-sectional.


METHODS
Australian preschool-aged children were recruited in 2009 as part of a larger study. Parent proxy-report of child factors (age, sex, parent perception of child skill, participation in unstructured and structured activity), self-report of parent factors (confidence in their own skills to support child's activity, parent-child physical activity interaction, parent physical activity) and perceived environmental factors (play space visits, equipment at home) were collected. Moderate to vigorous physical activity (MVPA) (ActiGraph GT1M accelerometer) and motor skills (Test of Gross Motor Development-2) were also assessed. After age adjustment, variables were checked for association with raw object control and locomotor scores. Variables with associations of p<0.20 were entered into two multiple regression models with locomotor/object control as respective outcome variables.


RESULTS
Motor skills were assessed for 76 children (42 female), mean [SD] age=4.1 [0.68]; 71 completed parent proxy-report and 53 had valid MVPA data. Child age, swimming lessons, and home equipment were positively associated explaining 20% of locomotor skill variance, but only age was significant (β=0.36, p=0.002). Child age and sex, unstructured activity participation, MVPA%, parent confidence, home equipment (all positively associated), and dance participation (inversely associated) explained 32% object control variance. But only age (β=0.67, p<0.0001), MVPA% (β=0.37, p=0.038) and no dance (β=-0.34, p=0.028) were significant.


CONCLUSION
Motor skill correlates differ according to skill category and are context specific with child level correlates appearing more important.
Validation of early risk-prediction models for gestational diabetes based on clinical characteristics.

AIMS
Gestational diabetes (GDM) is generally diagnosed late in pregnancy, precluding early preventive interventions. This study aims to validate, in a large Caucasian population of pregnant women, models based on clinical characteristics proposed in the literature to identify, early in pregnancy, those at high risk of developing GDM in order to facilitate follow up and prevention.


METHODS
This is a cohort study including 7929 pregnant women recruited prospectively at their first prenatal visit. Clinical information was obtained by a self-administered questionnaire and extraction of data from the medical records. The performance of four proposed clinical risk-prediction models was evaluated for identifying women who developed GDM and those who required insulin therapy.


RESULTS
The four models yielded areas under the receiver operating characteristic curve (AUC) between 0.668 and 0.756 for the identification of women who developed GDM, a performance similar to those obtained in the original studies. The best performing model, based on ethnicity, body-mass index, family history of diabetes and past history of GDM, resulted in sensitivity, specificity and AUC of 73% (66-79), 81% (80-82) and 0.824 (0.793-0.855), respectively, for the identification of GDM cases requiring insulin therapy.


CONCLUSIONS
External validation of four risk-prediction models based exclusively on clinical characteristics yielded a performance similar to those observed in the original studies. In our cohort, the strategy seems particularly promising for the early prediction of GDM requiring insulin therapy. Addition of recently proposed biochemical markers to such models has the potential to reach a performance justifying clinical utilization.
The relationship between organizational culture and the deployment of agile methods

Context: Systems development normally takes place in a specific organizational context, including organizational culture. Previous research has identified organizational culture as a factor that potentially affects the deployment systems development methods. Objective: The purpose is to analyze the relationship between organizational culture and the postadoption deployment of agile methods. Method: This study is a theory development exercise. Based on the Competing Values Model of organizational culture, the paper proposes a number of hypotheses about the relationship between organizational culture and the deployment of agile methods. Results: Inspired by the agile methods thirteen new hypotheses are introduced and discussed. They have interesting implications, when contrasted with ad hoc development and with traditional systems devel-