cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Simulations of radio emission from air showers with CORSIKA 8
Creators: name: Karastathis, Nikolaos
name: Prechelt, Remy
name: Huege, Tim
name: Ammerman-Yebra, Juan
name: CORSIKA 8 Collaboration
Publisher: name: Scuola Internazionale Superiore di Studi Avanzati (SISSA)
Year: 2022

description: CORSIKA 8 is a new framework for air shower simulations implemented in modern C++17, based on past experience with existing codes like CORSIKA 7. The flexibility of this framework allows for the inclusion of radio-emission calculations as an integral part of the program. Our design makes radio simulations general and gives the user the freedom to choose between different formalisms, such as the ''Endpoints'' and ''ZHS'' formalisms. In addition, it takes advantage of the flexibility of the CORSIKA 8 environment and geometry design, allowing future updates to more complex scenarios such as showers crossing from air into dense media. We present first results, along with comparisons with other simulation programs like CoREAS in CORSIKA 7 and ZHAireS. In the future, based on our design, the opportunity arises for radio simulations to achieve a significant boost in performance by deploying parallel computing techniques, in particular employing GPUs, and hence, perform more sophisticated radio-emission studies.
High-Scale Axions without Isocurvature from Inflationary Dynamics
Creators: name: Kearney, John
name: Orlofsky, Nicholas
name: Pierce, Aaron
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Observable primordial tensor modes in the cosmic microwave background (CMB) would point to a high scale of inflation $H_{I}$. If the scale of Peccei-Quinn (PQ) breaking $f_a$ is greater than $\frac{H_{I}}{2π}$, CMB constraints on isocurvature naively rule out QCD axion dark matter. This assumes the potential of the axion is unmodified during inflation. We revisit models where inflationary dynamics modify the axion potential and discuss how isocurvature bounds can be relaxed. We find that models that rely solely on a larger PQ-breaking scale during inflation $f_I$ require either late-time dilution of the axion abundance or highly super-Planckian $f_I$ that somehow does not dominate the inflationary energy density. Models that have enhanced explicit breaking of the PQ symmetry during inflation may allow $f_a$ close to the Planck scale. Avoiding disruption of inflationary dynamics provides important limits on the parameter space.
description: 21 pages, 5 figures; v2: strengthened bounds in Sec. IIA, references added, published version
title: Quelques conséquences des propriétés du bois
Creators: name: Hutcheon, N. B.
name: Jenkins, J. H.
Publisher: name: Conseil national de recherches du Canada. Division des recherches en construction
Year: 1968
Subjects: subject: wood (materials)
subject: bois (matériau)
subject: strength of materials
subject: résistance des matériaux
subject: beams
subject: poutre
subject: shear stresses
subject: contrainte de cisaillement
subject: dimensional stability
subject: stabilité dimensionelle
subject: moisture content
subject: degré hygrométrique
subject: durability
subject: durabilité

description: L'auteur étudie les qualités anisotropiques de résistance du bois, ses modifications dimensionnelles selon la teneur en humidité, les variations de cette dernière en cours d' utilisation, les diverses formes de bois ouvré et la durabilité du bois en vue de son utilisation la plus judicieuse.
Hadoop branching: Architectural impacts on energy and performance
Creators: Polato, I.
Barbosa, D.
Hindle, Abram
Kon, F.
Publisher: name: University of Alberta Library
Year: 2015

Data centers are notorious energy consumers. In fact, studies have shown that for every $1 spent on hardware in the datacenter, $0.50 is spent on powering this hardware over its lifetime. Data centers host real or virtual (i.e., cloud) clusters that often execute large compute jobs using MapReduce, of which Hadoop is a popular implementation. Like other successful open source projects, Hadoop has been maintained and evolved over time with new resource management features being added over time in an effort to improve performance, raising questions as to whether such architectural evolution has achieved its goal, and if so, at what cost. In this work we apply Green Mining to find out that later versions of Hadoop — who exhibit more dynamic resource control — can suffer from serious energy consumption performance regressions.
title: Second look ultrasound examination for breast lesions: MRI and pathologic correlation
Creators: name: Serrano Tamayo, Elena
Publisher: name: European Congress of Radiology
Year: 2015
Subjects: subject: Cancer
subject: Biopsy
subject: Ultrasound
subject: MR
subject: Breast

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Second-look ultrasound (SLUS) is a targeted ultrasound examination of the breast which is performed after detection of a breast lesion that is not definitively benign on MRI and that may have been overlooked on the initial ultrasound study. Our...
Colored knot polynomials. HOMFLY in representation [2,1]
Creators: name: Mironov, A.
name: Morozov, A.
name: Morozov, An.
name: Sleptsov, A.
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Geometric Topology (math.GT)
subject: Quantum Algebra (math.QA)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: This paper starts a systematic description of colored knot polynomials, beginning from the first non-(anti)symmetric representation R=[2,1]. The project involves several steps: (i) parametrization of big families of knots a la arXiv:1506.00339, (ii) evaluating Racah/mixing matrices for various numbers of strands in various representations a la arXiv:1112.2654, (iii) tabulating and collecting the results at www.knotebook.org. In this paper we discuss only representation R=[2,1] and construct all necessary ingredients that allow one to evaluate knot/links represented by three strand closed parallel braids with inserted double-fat fingers. In particular, it is used to evaluate knots from a 7-parametric family: this family contains over 80% of knots with up to 10 intersections, but does not include mutants.
description: 25 pages
Complementary and alternative medicine use and cost in functional bowel disorders: a six month prospective study in a large HMO
Creators: name: Drossman, Douglas A
name: Turner, Marsha J
name: Whitehead, William
name: van Tilburg, Miranda AL
name: Palsson, Olafur S
Publisher: name: BioMed Central Ltd
Year: 2008

description: Abstract Background Functional Bowel Disorders (FBD) are chronic disorders that are difficult to treat and manage. Many patients and doctors are dissatisfied with the level of improvement in symptoms that can be achieved with standard medical care which may lead them to seek alternatives for care. There are currently no data on the types of Complementary and Alternative Medicine (CAM) used for FBDs other than Irritable Bowel Syndrome (IBS), or on the economic costs of CAM treatments. The aim of this study is to determine prevalence, types and costs of CAM in IBS, functional diarrhea, functional constipation, and functional abdominal pain. Methods 1012 Patients with FBD were recruited through a health care maintenance organization and followed for 6 months. Questionnaires were used to ascertain: Utilization and expenditures on CAM, symptom severity (IBS-SS), quality of life (IBS-QoL), psychological distress (BSI) and perceived treatment effectiveness. Costs for conventional medical care were extracted from administrative claims. Results CAM was used by 35% of patients, at a median yearly cost of $200. The most common CAM types were ginger, massage therapy and yoga. CAM use was associated with female gender, higher education, and anxiety. Satisfaction with physician care and perceived effectiveness of prescription medication were not associated with CAM use. Physician referral to a CAM provider was uncommon but the majority of patients receiving this recommendation followed their physician's advice. Conclusion CAM is used by one-third of FBD patients. CAM use does not seem to be driven by dissatisfaction with conventional care. Physicians should discuss CAM use and effectiveness with their patients and refer patients if appropriate.
Green mining: energy consumption of advertisement blocking methods
Creators: Rasmussen, K.
Wilson, A.
Hindle, Abram
Publisher: name: University of Alberta Library
Year: 2014

Extending battery life on mobile devices has become an important topic recently due to the increasing frequency of smartphone adoption. A primary component of smart phone energy consumption is the apps that run on these devices. Many apps have embedded advertising and web browser apps will show ads that are embedded on webpages. Other researchers have found that advertising libraries and advertisements tend to increase power usage. But is the converse true? If we use advertisement blocking software will we consume less energy, or will the overhead of ad-blocking consume more energy?

This study seeks to determine the effects of advertisements on energy consumption, and the effects of attempts to block the advertisements. We compared different methods of blocking advertisements on an Android mobile phone platform and compared the power efficiency of these methods. We found many cases where ad-blocking software or methods resulted in increased power use.
title: La construction sur remblais
Creators: name: Legget, R. F.
Publisher: name: Conseil national de recherches du Canada. Division des recherches en construction
Year: 1968
Subjects: subject: Basements and foundations
valueUri: urn:ircsubjects:IRC0320
subject: Sous-sol et fondations
valueUri: urn:ircsubjects:IRC0320
subject: fills (materials)
subject: materiel de remblai
subject: foundations
subject: fondation (ouvrage)
subject: waste disposal
subject: décharge des ordures
subject: site analysis
subject: analyse du site

description: L'auteur étudie de facon générale les précautions à prendre et les méthodes de construction recommandées en terrain de remblayage. Il souligne que la construction sur des terrains remblayés avec soin et méthode peut être réussie, et qu'elle l'a déjà été.
How does Docker affect energy consumption? Evaluating workloads in and out of Docker containers
Creators: Santos, E.A.
McLean, C.
Solinas, C.
Hindle, Abram
Publisher: name: University of Alberta Library
Year: 2018

Context: Virtual machines provide isolation of services at the cost of hypervisors and more resource usage. This spurred the growth of systems like Docker that enable single hosts to isolate several applications, similar to VMs, within a low-overhead abstraction called containers.

Motivation: Although containers tout low overhead performance, how much do they increase energy use?

Methodology: This work statistically compares the energy consumption of three application workloads in Docker and on bare-metal Linux.

Results: In all cases, there was a statistically significant (t-test and Wilcoxon p < .05) increase in energy consumption when running tests in Docker, mostly due to the performance of I/O system calls. Developers worried about I/O overhead could consider baremetal deployments over Docker container deployments.
title: 4D flow magnetic resonance imaging in patients with univentriculary hemodynamics after bidirectional Glenn procedure and axillary arteriovenous anastomosis.
Creators: name: Mataeva, Tatiana
Publisher: name: European Congress of Radiology
Year: 2015
Subjects: subject: Cardiac
subject: MR
subject: Computer Applications-Detection, diagnosis
subject: Congenital

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: The purpose to study blood flow using the new MR-package - 4D Flow in patients with univentriculary hemodinamics after bidirectional Glenn pocedure and axillary...
title: Emploi du bois de construction
Creators: name: Dickens, H. B.
Publisher: name: Conseil national de recherches du Canada. Division des recherches en construction
Year: 1968
Subjects: subject: wood (material)
subject: bois (materiau)
subject: lumber
subject: bois de construction

description: L'auteur fournit des renseignements sur les différents manuels utilisés au Canada, traitant de l'emploi des bois de construction. Il décrit la classification des bois d' oeuvre, l'estampillage par catégories, les contraintes admissibles, l'utilisation du bois lamellaire et les types de sciages pour la construction d'habitations.
Striving for money and happiness
Creators: name: Amanda, Jehan
name: Karremans, Johan
name: dijksterhuis, ap
Publisher: name: Open Science Framework
Year: 2022

description: This project aims to shed a light on the relationship between striving for money and happiness. It consists of two studies. The first study was exploratory and cross-cultures (Indonesian and non-Indonesian participants). The second study aims to test the effect of striving for money on happiness in a more broad sample.
Removing reference mapping biases using limited or no genotype data identifies allelic differences in protein binding at disease-associated loci
Creators: name: Li, Yun
name: Buchkovich, Martin L
name: Eklund, Karl
name: Furey, Terrence
name: Mohlke, Karen
name: Duan, Qing
Publisher: name: BioMed Central
Year: 2015

description: Abstract Background Genetic variation can alter transcriptional regulatory activity contributing to variation in complex traits and risk of disease, but identifying individual variants that affect regulatory activity has been challenging. Quantitative sequence-based experiments such as ChIP-seq and DNase-seq can detect sites of allelic imbalance where alleles contribute disproportionately to the overall signal suggesting allelic differences in regulatory activity. Methods We created an allelic imbalance detection pipeline, AA-ALIGNER, to remove reference mapping biases influencing allelic imbalance detection and evaluate accuracy of allelic imbalance predictions in the absence of complete genotype data. Using the sequence aligner, GSNAP, and varying amounts of genotype information to remove mapping biases we investigated the accuracy of allelic imbalance detection (binomial test) in CREB1 ChIP-seq reads from the GM12878 cell line. Additionally we thoroughly evaluated the influence of experimental and analytical parameters on imbalance detection. Results Compared to imbalances identified using complete genotypes, using imputed partial sample genotypes, AA-ALIGNER detected >95 % of imbalances with >90 % accuracy. AA-ALIGNER performed nearly as well using common variants when genotypes were unknown. In contrast, predicting additional heterozygous sites and imbalances using the sequence data led to >50 % false positive rates. We evaluated effects of experimental data characteristics and key analytical parameter settings on imbalance detection. Overall, total base coverage and signal dispersion across the genome most affected our ability to detect imbalances, while parameters such as imbalance significance, imputation quality thresholds, and alignment mismatches had little effect. To assess the biological relevance of imbalance predictions, we used electrophoretic mobility shift assays to functionally test for predicted allelic differences in CREB1 binding in the GM12878 lymphoblast cell line. Six of nine tested variants exhibited allelic differences in binding. Two of these variants, rs2382818 and rs713875, are located within inflammatory bowel disease-associated loci. Conclusions AA-ALIGNER accurately detects allelic imbalance in quantitative sequence data using partial genotypes or common variants filling a critical methodological gap in these analyses, as full genotypes are rarely available. Importantly, we demonstrate how experimental and analytical features impact imbalance detection providing guidance for similar future studies.
Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms
Creators: Sun, W.
Kalmady, S.V.
Sepehrvand, N.
Salimi, A.
Nademi, Y.
Bainey, K.
Ezekowitz, J.A.
Greiner, R.
Hindle, Abram
McAlister, F.A.
Sandhu, R.K.
Kaul, P.
Publisher: name: University of Alberta Library
Year: 2023

The feasibility and value of linking electrocardiogram (ECG) data to longitudinal population-level administrative health data to facilitate the development of a learning healthcare system has not been fully explored. We developed ECG-based machine learning models to predict risk of mortality among patients presenting to an emergency department or hospital for any reason. Using the 12-lead ECG traces and measurements from 1,605,268 ECGs from 748,773 healthcare episodes of 244,077 patients (2007–2020) in Alberta, Canada, we developed and validated ResNet-based Deep Learning (DL) and gradient boosting-based XGBoost (XGB) models to predict 30-day, 1-year, and 5-year mortality. The models for 30-day, 1-year, and 5-year mortality were trained on 146,173, 141,072, and 111,020 patients and evaluated on 97,144, 89,379, and 55,650 patients, respectively. In the evaluation cohort, 7.6%, 17.3%, and 32.9% patients died by 30-days, 1-year, and 5-years, respectively. ResNet models based on ECG traces alone had good-to-excellent performance with area under receiver operating characteristic curve (AUROC) of 0.843 (95% CI: 0.838–0.848), 0.812 (0.808–0.816), and 0.798 (0.792–0.803) for 30-day, 1-year and 5-year prediction, respectively; and were superior to XGB models based on ECG measurements with AUROC of 0.782 (0.776–0.789), 0.784 (0.780–0.788), and 0.746 (0.740–0.751). This study demonstrates the validity of ECG-based DL mortality prediction models at the population-level that can be leveraged for prognostication at point of care.
A green miner's dataset: mining the impact of software change on energy consumption
Creators: Chenlei, Z.
Hindle, Abram
German, D.M
Publisher: name: University of Alberta Library
Year: 2014

With the advent of mobile computing, the responsibility of software developers to update and ship energy efficient applications has never been more pronounced. Green mining attempts to address this responsibility by examining the impact of software change on energy consumption. One problem with green mining is that power performance data is not readily available, unlike many other forms of MSR research. Green miners have to create tests and run them across numerous versions of a software project because power performance data was either missing or never existed for that particular project. In this paper we describe multiple open green mining datasets used in prior green mining work. The dataset includes numerous power traces and parallel system call and CPU/IO/Memory traces of multiple versions of multiple products. These datasets enable those more interested in data-mining and modeling to work on green mining problems as well.
Slow down of the electronic relaxation close to the Mott transition
Creators: name: Sayyad, Sharareh
name: Eckstein, Martin
Publisher: name: arXiv
Year: 2016
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We investigate the time-dependent reformation of the quasiparticle peak in a correlated metal near the Mott transition, after the system is quenched into a hot electron state and equilibrates with an environment which is colder than the Fermi-liquid crossover temperature. Close to the transition, we identify a purely electronic bottleneck timescale, which depends on the spectral weight around the Fermi energy in the bad metallic phase in a non-linear way. This timescale can be orders of magnitude larger than the bare electronic hopping time, so that a separation electronic and lattice timescales may break down. The results are obtained using nonequilibrium dynamical mean-field theory and a slave-rotor representation of the Anderson impurity model.
description: 5 pages,4 figs+Supp: 3 pages, 3 figs
title: Low radiation and low contrast dose coronary CT angioraphy at 64-row CT: usefulness of BMI-adapted protocol and the iterative reconstruction algorithm
Creators: name: JianSong, Ji
Publisher: name: European Congress of Radiology
Year: 2015
Subjects: subject: Radioprotection / Radiation dose
subject: Cardiovascular system
subject: Vascular
subject: CT
subject: CT-Angiography
subject: Radiation safety
subject: Contrast agent-intravenous
subject: Diagnostic procedure
subject: Cardiac Assist Devices

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: To evaluate the effect on image quality of a low radiation dose and contrast agent dose for coronary computed tomography angiography( CCTA) using a BMI-adapted protocol and the iterative reconstruction algorithm with prospective ECG...
Syntax and Sensibility: Using language models to detect and correct syntax errors
Creators: Santos, E.A.
Campbell, J.C.
Patel, D.
Hindle, Abram
Amaral, J.N.
Publisher: name: University of Alberta Library
Year: 2018

Syntax errors are made by novice and experienced programmers alike; however, novice programmers lack the years of experience that help them quickly resolve these frustrating errors. Standard LR parsers are of little help, typically resolving syntax errors and their precise location poorly. We propose a methodology that locates where syntax errors occur, and suggests possible changes to the token stream that can fix the error identified. This methodology finds syntax errors by using language models trained on correct source code to find tokens that seem out of place. Fixes are synthesized by consulting the language models to determine what tokens are more likely at the estimated error location. We compare n-gram and LSTM (long short-term memory) language models for this task, each trained on a large corpus of Java code collected from GitHub. Unlike prior work, our methodology does not rely that the problem source code comes from the same domain as the training data. We evaluated against a repository of real student mistakes. Our tools are able to find a syntactically-valid fix within its top-2 suggestions, often producing the exact fix that the student used to resolve the error. The results show that this tool and methodology can locate and suggest corrections for syntax errors. Our methodology is of practical use to all programmers, but will be especially useful to novices frustrated with incomprehensible syntax errors.
Comparison of 2 models for gene–environment interactions: an example of simulated gene–medication interactions on systolic blood pressure in family-based data
Creators: name: Hodonsky, Chani J
name: Graff, Mariaelisa
name: Love, Shelly-Ann M
name: Voruganti, Venkata S
name: Young, Kristin L
name: Seyerle, Amanda A
name: North, Kari
name: Chittoor, Geetha
name: Franceschini, Nora
name: Fernández-Rhodes, Lindsay
name: Avery, Christy
name: Justice, Anne E
name: Howard, Annie Green
Publisher: name: BioMed Central
Year: 2016

description: Abstract Background Nearly half of adults in the United States who are diagnosed with hypertension use blood-pressure-lowering medications. Yet there is a large interindividual variability in the response to these medications. Two complementary gene–environment interaction methods have been published and incorporated into publicly available software packages to examine interaction effects, including whether genetic variants modify the association between medication use and blood pressure. The first approach uses a gene–environment interaction term to measure the change in outcome when both the genetic marker and medication are present (the “interaction model”). The second approach tests for effect-size differences between strata of an environmental exposure (the “med-diff” approach). However, no studies have quantitatively compared how these methods perform with respect to 1 or 2 degree of freedom (DF) tests or in family-based data sets. We evaluated these 2 approaches using simulated genotype–medication response interactions at 3 single nucleotide polymorphisms (SNPs) across a range of minor allele frequencies (MAFs 0.1–5.4 %) using the Genetic Analysis Workshop 19 family sample. Results The estimated interaction effect sizes were on average larger in the interaction model approach compared to the med-diff approach. The true positive proportion was higher for the med-diff approach for SNPs less than 1 % MAF, but higher for the interaction model when common variants were evaluated (MAF >5 %). The interaction model produced lower false-positive proportions than expected (5 %) across a range of MAFs for both the 1DF and 2DF tests. In contrast, the med-diff approach produced higher but stable false-positive proportions around 5 % across MAFs for both tests. Conclusions Although the 1DF tests both performed similarly for common variants, the interaction model estimated true interaction effects with less bias and higher true positive proportions than the med-diff approach. However, if rare variation (MAF <5 %) is of interest, our findings suggest that when convergence is achieved, the med-diff approach may estimate true interaction effects more conservatively and with less variability.
Most nuclear systemic autoantigens are extremely disordered proteins: implications for the etiology of systemic autoimmunity
Creators: name: Carl, Philip L
Publisher: name: BioMed Central Ltd
Year: 2005

description: Abstract Patients with systemic autoimmune diseases usually produce high levels of antibodies to self-antigens (autoantigens). The repertoire of common autoantigens is remarkably limited, yet no readily understandable shared thread links these apparently diverse proteins. Using computer prediction algorithms, we have found that most nuclear systemic autoantigens are predicted to contain long regions of extreme structural disorder. Such disordered regions would generally make poor B cell epitopes and are predicted to be under-represented as potential T cell epitopes. Consideration of the potential role of protein disorder may give novel insights into the possible role of molecular mimicry in the pathogenesis of autoimmunity. The recognition of extreme autoantigen protein disorder has led us to an explicit model of epitope spreading that explains many of the paradoxical aspects of autoimmunity – in particular, the difficulty in identifying autoantigen-specific helper T cells that might collaborate with the B cells activated in systemic autoimmunity. The model also explains the experimentally observed breakdown of major histocompatibility complex (MHC) class specificity in peptides associated with the MHC II proteins of activated autoimmune B cells, and sheds light on the selection of particular T cell epitopes in autoimmunity. Finally, the model helps to rationalize the relative rarity of clinically significant autoimmunity despite the prevalence of low specificity/low avidity autoantibodies in normal individuals.
Isolated guitar transcription using a deep belief network
Creators: Burlet, G.
Hindle, Abram
Publisher: name: University of Alberta Library
Year: 2017

Music transcription involves the transformation of an audio recording to common music notation, colloquially referred to as sheet music. Manually transcribing audio recordings is a difficult and time-consuming process, even for experienced musicians. In response, several algorithms have been proposed to automatically analyze and transcribe the notes sounding in an audio recording; however, these algorithms are often general-purpose, attempting to process any number of instruments producing any number of notes sounding simultaneously. This paper presents a polyphonic transcription algorithm that is constrained to processing the audio output of a single instrument, specifically an acoustic guitar. The transcription system consists of a novel note pitch estimation algorithm that uses a deep belief network and multi-label learning techniques to generate multiple pitch estimates for each analysis frame of the input audio signal. Using a compiled dataset of synthesized guitar recordings for evaluation, the algorithm described in this work results in an 11% increase in the f-measure of note transcriptions relative to Zhou et al.’s (2009) transcription algorithm in the literature. This paper demonstrates the effectiveness of deep, multi-label learning for the task of polyphonic transcription.
title: Thermal environment and human comfort
Creators: name: Hutcheon, N. B.
Publisher: name: National Research Council of Canada. Division of Building Research
Year: 1968
Subjects: subject: hygrothermal comfort
subject: confort hygrothermique
subject: human requirements
subject: exigence humaine

description: The factors which determine the thermal environment and their effects are discussed for the benefit of all who become involved in the evaluation of comfort conditions within buildings. Reference is made to the rating of conditions and to a recently developed Standard.
Infrared-faint radio sources remain undetected at far-infrared wavelengths. Deep photometric observations using the Herschel Space Observatory
Creators: name: Herzog, Andreas
name: Norris, Ray P.
name: Middelberg, Enno
name: Spitler, Lee R.
name: Leipski, Christian
name: Parker, Quentin A.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Showing 1.4 GHz flux densities in the range of a few to a few tens of mJy, infrared-faint radio sources (IFRS) are a type of galaxy characterised by faint or absent near-infrared counterparts and consequently extreme radio-to-infrared flux density ratios up to several thousand. Recent studies showed that IFRS are radio-loud active galactic nuclei (AGNs) at redshifts >=2. This work explores the far-infrared emission of IFRS, providing crucial information on the star forming and AGN activity of IFRS and on the potential link between IFRS and high-redshift radio galaxies (HzRGs). A sample of six IFRS was observed with the Herschel Space Observatory between 100 um and 500 um. Using these results, we constrained the nature of IFRS by modelling their broad-band spectral energy distribution (SED). Furthermore, we set an upper limit on their infrared SED and decomposed their emission into contributions from an AGN and from star forming activity. All six observed IFRS were undetected in all five Herschel far-infrared channels (stacking limits: sigma = 0.74 mJy at 100 um, sigma = 3.45 mJy at 500 um). Based on our SED modelling, we find that the IFRS analysed in this work can only be explained by objects that fulfil the selection criteria of HzRGs. More precisely, IFRS could be (a) known HzRGs at very high redshifts (z >= 10.5), (b) low-luminosity siblings of HzRGs with additional dust obscuration at lower redshifts, (c) scaled or unscaled versions of Cygnus A at any redshift, and (d) scaled and dust-obscured radio-loud quasars or compact steep spectrum sources. We estimated upper limits on the infrared luminosity, the black hole accretion rate, and the star formation rate of IFRS, which all agreed with corresponding numbers of HzRGs.
description: 15 pages, 10 figures, accepted for publication in A&A
title: The role of the “Rotational Scan Plane” in the evaluation of Myocarditis by Contrast Enhanced Cardiac Magnetic Resonance (CE-CMR)
Creators: name: Patriarca, Lucia
Publisher: name: European Congress of Radiology
Year: 2015
Subjects: subject: Diagnostic procedure
subject: MR
subject: Cardiac
subject: Pathology

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Normal 0 14 false false false IT JA X-NONE To compare the conventional CMR approach to the radial one, using the “rotational scan plane”, in patients with clinical suspicion of...
A Multidimensional Empirical Study on Refactoring
Creators: Tsantalis, N.
Guana, V.
Stroulia, E.
Hindle, Abram
Publisher: name: University of Alberta Library
Year: 2013

In this paper we present an empirical study on the refactoring activity in three well-known projects. We have studied five research questions that explore the different types of refactorings applied to different types of sources, the individual contribution of team members on refactoring activities, the alignment of refactoring activity with release dates and testing periods, and the motivation behind the applied refactorings. The studied projects have a history of 12, 7, and 6 years, respectively. We have found that there is very little variation in the types of refactorings applied on test code, since the majority of the refactorings focus on the reorganization and renaming of classes. Additionally, we have identified that the refactoring decision making and application is often performed by individual refactoring “managers”. We have found a strong alignment between refactoring activity and release dates. Moreover, we found that the development teams apply a considerable amount of refactorings during testing periods. Finally, we have also found that in addition to code smell resolution the main drivers for applying refactorings are the introduction of extension points, and the resolution of backward compatibility issues.
Defining independence: A scoping review by the OMERACT patient perspective of remission in rheumatoid arthritis group
Creators: name: Khoo, Thomas
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Medicine and Health Sciences
subject: Medical Specialties
subject: Rheumatology
subject: Independence
subject: OMERACT
subject: Remission
subject: Rheumatoid arthritis
subject: Scoping Review

description: A scoping review of independence in rheumatoid arthritis performed by the OMERACT patient perspective in remission in rheumatoid arthritis group
A systemic review and meta-analysis of the effectiveness of acupressure for depression.
Creators: name: Li, Jiaqi
name: HRL
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Psychiatry and Psychology
subject: Medicine and Health Sciences
subject: Analytical, Diagnostic and Therapeutic Techniques and Equipment
subject: Other Analytical, Diagnostic and Therapeutic Techniques and Equipment
subject: Psychological Phenomena and Processes
subject: acupressure
subject: depression

description: This is a registration of study plans before reading data and materials collection begin.
Forecasting the locational dynamics of transnational terrorism: a network analytic approach
Creators: name: Cranmer, Skyler
Publisher: name: Springer
Year: 2013

description: Abstract Efforts to combat and prevent transnational terrorism rely, to a great extent, on the effective allocation of security resources. Critical to the success of this allocation process is the identification of the likely geopolitical sources and targets of terrorism. We construct the network of transnational terrorist attacks, in which source (sender) and target (receiver) countries share a directed edge, and we evaluate a network analytic approach to forecasting the geopolitical sources and targets of terrorism. We integrate a deterministic, similarity-based, link prediction framework into a probabilistic modeling approach in order to develop an edge-forecasting method. Using a database of over 12,000 transnational terrorist attacks occurring between 1968 and 2002, we show that probabilistic link prediction is not only capable of accurate forecasting during a terrorist campaign, but is a promising approach to forecasting the onset of terrorist hostilities between a source and a target.
title: The immediate effect on quantative T2, T2*-measurements of knee cartilage in young healthy adults at 3T before and after performing a long distance run for 45 minutes
Creators: name: Behzadi, Cyrus
Publisher: name: European Congress of Radiology
Year: 2015
Subjects: subject: Musculoskeletal joint
subject: Musculoskeletal bone
subject: Musculoskeletal system
subject: MR
subject: Imaging sequences
subject: Physiological studies
subject: Tissue characterisation

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: To quantitatively assess the immediate effect of a 45 minute endurance run on articular cartilage of the knee using T2 and T2* relaxation measurements at...
title: Gd-EOB-DTPA-enhanced MRI versus Ultrasound Elastography in evaluation and staging of liver fibrosis
Creators: name: Medvedeva, Bela
Publisher: name: European Congress of Radiology
Year: 2015
Subjects: subject: Oncology
subject: Abdomen
subject: Liver
subject: MR
subject: Ultrasound
subject: Elastography
subject: Contrast agent-intravenous
subject: Comparative studies
subject: Cancer
subject: Cirrhosis

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Patients with poorly compensated chronic liver disease are definitively contraindicated for hepatic resection because of a high risk postoperative morbidity and mortality. [1]. Thus, a careful pre-operative assessment of liver fibrosis and cirrhosis...
Norm-resolvent convergence of one-dimensional high-contrast periodic problems to a Kronig-Penney dipole-type model
Creators: name: Cherednichenko, Kirill D.
name: Kiselev, Alexander V.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences
subject: 47N50, 34E13, 46N20, 74Q15, 78A48

description: We prove operator-norm resolvent convergence estimates for one-dimensional periodic differential operators with rapidly oscillating coefficients in the non-uniformly elliptic high-contrast setting, which has been out of reach of the existing homogenisation techniques. Our asymptotic analysis is based on a special representation of the resolvent of the operator in terms of the $M$-matrix of an associated boundary triple ("Krein resolvent formula''). The resulting asymptotic behaviour is shown to be described, up to a unitary equivalent transformation, by a non-standard version of the Kronig-Penney model on $\mathbb R$.
description: 33 pages, 2 figures
title: Reflective glazing units
Creators: name: Stephenson, D. G.
Publisher: name: National Research Council of Canada. Division of Building Research
Year: 1968
Subjects: subject: Heat performance
valueUri: urn:ircsubjects:IRC0391
subject: Performance thermique
valueUri: urn:ircsubjects:IRC0391
subject: reflective glass
subject: vitrage refléchissant
subject: light transmission
subject: transmission lumineuse
subject: shade
subject: penombre
subject: thermal conduction
subject: conduction thermique

description: The shading coefficient, U-value, and light transmission factors for reflective glazing units are compared with those for ordinary windows and heat absorbing windows with and without inside shades. The luminous efficacy of the daylight transmitted through the reflective glazing units is shown to be considerably higher than for artificial light sources.
Knowledge, attitudes and practices regarding depression among primary health care providers in Fako division, Cameroon
Creators: name: Gaynes, Bradley
Publisher: name: BioMed Central
Year: 2018

description: Abstract Background Mental health and mental illness are often overlooked in the management of patients in our health services. Depression is a common mental disorder worldwide. Recognising and managing mental illnesses such as depression by primary health care providers (PHCPs) is crucial. This study describes the knowledge, attitudes and practices (KAP) of PHCPs regarding depression in Fako Division. Methods A cross-sectional study was conducted among PHCPs (general practitioners, nurses, pharmacy attendants and social workers) in public-owned health facilities in the four health districts in Fako Division. Participants were selected by a consecutive convenience sampling. A structured questionnaire including the Depression Attitude Questionnaire (DAQ) was used to collect information about their socio-demographic characteristics, professional qualifications and KAP about depression. Results The survey had a response rate of 56.7%. Most of the 226 participants (92.9%) were aware that depression needs medical intervention. Only 1.8% knew a standard tool used to diagnose depression. Two-thirds agreed that majority of the cases of depression encountered originate from recent misfortune. About 66% felt uncomfortable working with depressed patients. Also, 45.1% of PHCPs did not know if psychotropic drugs were available at pharmacies within their health area. Very few (15.2%) reported to have prescribed psychotropic drugs. Less than half (49.1%) of the participants had prior formal training in mental health. Conclusion PHCPs in Fako Division tend to have limited knowledge and poor attitudes regarding depression. Practices towards diagnosis and management of depression tend to be inadequate. There is an urgent need to train PHCPs in mental health in general and depression diagnosis and management in particular.
Optimal Farm Planning and Assessment of Conventional Agricultural Practices under Alternative Scenarios Integrating Life Cycle Analysis
Creators: name: Tziolas, Emmanouil
name: Ofridopoulou, Konstantina
name: Bournaris, Thomas
name: Manos, Basil
name: Tziolas, Emmanouil
name: Ofridopoulou, Konstantina
name: Bournaris, Thomas
name: Manos, Basil
Publisher: name: Unknown
Year: 2022
Subjects: subject: Crop Production/Industries
subject: Farm Management
subject: Research Methods/ Statistical Methods
subject: Farm management
subject: multi-criteria analysis
subject: life cycle assessment
subject: mathematical programming

description: Agricultural production and farm management are inextricable, since managerial aspects for safe and of high-quality food products have led to the development of successful production plans but multifaceted controversies as well. These controversies arise from the focus of policymakers, especially in the EU, to the environmental aspects of agricultural production, creating conflicting objectives for farmers. Energy from biomass derivatives could play a significant role in the dispute for economic and environmental sustainability in agriculture, along with the formulation of agro-energy districts. In this context, an MCDM model was developed integrating LCA data for the assessment of economic, environmental and energy sustainability regarding thirteen major crops in the Region of Central Macedonia in Greece. The model's objectives consist of maximization of farmers' gross income, minimization of emissions coming from farming practices and maximization of energy potentially coming from biomass. Furthermore, three different scenario-based directions allocate different weights to the respective objectives, creating different managerial strategies. The optimal production plan was the scenario in which the weights were allocated by goal programming. The optimal plan proposes the cultivation expansion of energy crops, tree crops, alfalfa and hard wheat to a higher degree. Moreover, a significant reduction to the cultivated areas of tobacco, rice, barley and soft wheat could lead to a potentially viable production plan.
Subdominant Left-Right Scalar Dark Matter as Origin of the 750 GeV Di-photon Excess at LHC
Creators: name: Borah, Debasish
name: Patra, Sudhanwa
name: Sahoo, Shibananda
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We study the possibility of explaining the recently reported 750 GeV di-photon excess at LHC within the framework of a left-right symmetric model. The 750 GeV neutral scalar in the model is dominantly an admixture of neutral components of scalar bidoublets with a tiny fraction of neutral scalar triplet. Incorporating $SU(2)$ septuplet scalar pairs into the model, we enhance the partial decay width of the 750 GeV neutral scalar into di-photons through charged septuplet components in loop while keeping the neutral septuplet components as subdominant dark matter candidates. The model also predicts the decay width of the 750 GeV scalar to be around 36 GeV to be either confirmed or ruled out by future LHC data. The requirement of producing the correct di-photon signal automatically keeps the septuplet dark matter abundance subdominant in agreement with bounds from direct and indirect detection experiments. We then briefly discuss different possibilities to account for the remaining dark matter component of the Universe in terms of other particle candidates whose stability arise either due to remnant discrete symmetry after spontaneous breaking of $U(1)_{B-L}$ or due to high $SU(2)$-dimension forbidding their decay into lighter particles.
description: 32 pages, 12 figures, to appear in IJMPA
The potential for selective pharmacological therapies through biased receptor signaling
Creators: name: Kenakin, Terrance
Publisher: name: BioMed Central Ltd
Year: 2012

description: Abstract The discovery that not all agonists uniformly activate cellular signaling pathways (biased signaling) has greatly changed the drug discovery process for agonists and the strategy for treatment of disease with agonists. Technological advances have enabled complex receptor behaviors to be viewed independently and through these assays, the bias for an agonist can be quantified. It is predicted that therapeutic phenotypes will be linked, through translational studies, to quantified scales of bias to guide medicinal chemists in the drug discovery process.
Grid Search in Stellar Parameters: a software for spectrum analysis of single stars and binary systems
Creators: name: Tkachenko, Andrew
Publisher: name: arXiv
Year: 2015
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: The currently operating space missions, as well as those that will be launched in the near future, (will) deliver high-quality data for millions of stellar objects. Since the majority of stellar astrophysical applications still (at least partly) rely on spectroscopic data, an efficient tool for the analysis of medium- to high-resolution spectroscopy is needed. We aim at developing an efficient software package for the analysis of medium- to high-resolution spectroscopy of single stars and those in binary systems. The major requirements are that the code has a high performance, represents the state-of-the-art analysis tool, and provides accurate determinations of atmospheric parameters and chemical compositions for different types of stars. We use the method of atmosphere models and spectrum synthesis, which is one of the most commonly used approaches for the analysis of stellar spectra. Our Grid Search in Stellar Parameters (GSSP) code makes use of the OpenMPI implementation, which makes it possible to run in parallel mode. The method is first tested on the simulated data and is then applied to the spectra of real stellar objects. The majority of test runs on the simulated data were successful in the sense that we could recover the initially assumed sets of atmospheric parameters. We experimentally find the limits in signal-to-noise ratios of the input spectra, below which the final set of parameters gets significantly affected by the noise. Application of the GSSP package to the spectra of three Kepler stars, KIC11285625, KIC6352430, and KIC4931738, was also largely successful. We found an overall agreement of the final sets of the fundamental parameters with the original studies. For KIC6352430, we found that dependence of the light dilution factor on wavelength cannot be ignored, as it has significant impact on the determination of the atmospheric parameters of this binary system.
description: 19 pages, 6 figures, 4 tables, 2 appendices one of which includes detailed description of input and output files. Accepted for publication in Astronomy & Astrophysis