cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Analysis of Microarray Data using Artificial Intelligence Based Techniques
Creators: name: Raza, Khalid
Publisher: name: arXiv
Year: 2015
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Computational Engineering, Finance, and Science (cs.CE)
subject: Genomics (q-bio.GN)
subject: FOS: Computer and information sciences
subject: FOS: Biological sciences

description: Microarray is one of the essential technologies used by the biologist to measure genome-wide expression levels of genes in a particular organism under some particular conditions or stimuli. As microarrays technologies have become more prevalent, the challenges of analyzing these data for getting better insight about biological processes have essentially increased. Due to availability of artificial intelligence based sophisticated computational techniques, such as artificial neural networks, fuzzy logic, genetic algorithms, and many other nature-inspired algorithms, it is possible to analyse microarray gene expression data in more better way. Here, we reviewed artificial intelligence based techniques for the analysis of microarray gene expression data. Further, challenges in the field and future work direction have also been suggested.
description: 32 pages, 4 figures
השפעת המגדר של המדריך/ה והמתרגל/ת בביצוע מדיטציה על רמות הסטרס
Creators: name: azulay, maya
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Social and Behavioral Sciences
subject: Psychology
subject: FOS: Psychology

description: הרשמה מראש למחקר שלנו במסגרת קורס פסיכולוגיה ניסויית באוניברסיטת תל אביב
Preventing Duplicate Bug Reports by Continuously Querying Bug Reports
Creators: Hindle, Abram
Onuckzo, C.
Publisher: name: University of Alberta Library
Year: 2018

Bug deduplication or duplicate bug report detection is a hot topic in software engineering information retrieval research, but it is often not deployed. Typically to de-duplicate bug reports developers rely upon the search capabilities of the bug report software they employ, such as Bugzilla, Jira, or Github Issues. These search capabilities range from simple SQL string search to IR-based word indexing methods employed by search engines. Yet too often these searches do very little to stop the creation of duplicate bug reports. Some bug trackers have more than 10% of their bug reports marked as duplicate. Perhaps these bug tracker search engines are not enough? In this paper we propose a method of attempting to prevent duplicate bug reports before they start: continuously querying. That is as the bug reporter types in their bug report their text is used to query the bug database to find duplicate or related bug reports. This continuously querying bug reports allows the reporter to be alerted to duplicate bug reports as they report the bug, rather than formulating queries to find the duplicate bug report. Thus this work ushers in a new way of evaluating bug report deduplication techniques, as well as a new kind of bug deduplication task. We show that simple IR measures can address this problem but also that further research is needed to refine this novel process that is integrate-able into modern bug report systems.
Expected Similarity Estimation for Large-Scale Batch and Streaming Anomaly Detection
Creators: name: Schneider, Markus
name: Ertel, Wolfgang
name: Ramos, Fabio
Publisher: name: arXiv
Year: 2016
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: We present a novel algorithm for anomaly detection on very large datasets and data streams. The method, named EXPected Similarity Estimation (EXPoSE), is kernel-based and able to efficiently compute the similarity between new data points and the distribution of regular data. The estimator is formulated as an inner product with a reproducing kernel Hilbert space embedding and makes no assumption about the type or shape of the underlying data distribution. We show that offline (batch) learning with EXPoSE can be done in linear time and online (incremental) learning takes constant time per instance and model update. Furthermore, EXPoSE can make predictions in constant time, while it requires only constant memory. In addition, we propose different methodologies for concept drift adaptation on evolving data streams. On several real datasets we demonstrate that our approach can compete with state of the art algorithms for anomaly detection while being an order of magnitude faster than most other approaches.
High Energy Positrons and Gamma Radiation from Decaying Constituents of a two-component Dark Atom Model
Creators: name: Belotsky, K.
name: Khlopov, M.
name: Kouvaris, C.
name: Laletin, M.
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We study a two component dark matter candidate inspired by the Minimal Walking Technicolor model. Dark matter consists of a dominant SIMP-like dark atom component made of bound states between primordial helium nuclei and a doubly charged technilepton, and a small WIMP-like component made of another dark atom bound state between a doubly charged technibaryon and a technilepton. This scenario is consistent with direct search experimental findings because the dominant SIMP component interacts too strongly to reach the depths of current detectors with sufficient energy to recoil and the WIMP-like component is too small to cause significant amount of events. In this context a metastable technibaryon that decays to $e^+e^+$, $μ^+ μ^+$ and $τ^+ τ^+$ can in principle explain the observed positron excess by AMS-02 and PAMELA, while being consistent with the photon flux observed by FERMI/LAT. We scan the parameters of the model and we find the best possible fit to the latest experimental data. We find that there is a small range of parameter space that this scenario can be realised under certain conditions regarding the cosmic ray propagation and the final state radiation. This range of parameters fall inside the region where the current run of LHC can probe, and therefore it will soon be possible to either verify or exclude conclusively this model of dark matter.
description: 11 pages, 4 figures, invited contribution to the special issue "Composite dark matter" of International Journal of Modern Physics D. arXiv admin note: text overlap with arXiv:1411.3657
title: Placement port-a-cath in pediatric patients: Technical difficulties and differences of approach compared to the adult patient
Creators: name: Bonomo, Stefania
Publisher: name: European Congress of Radiology
Year: 2015
Subjects: subject: Education and training
subject: Venous access
subject: Technical aspects
subject: Ultrasound
subject: Fluoroscopy
subject: Paediatric
subject: Interventional vascular

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: The aim of our study is evaluate technical difficulties and differences of approach in port positioning in pediatric patients compared to the adult...
On the taxing of migrants’ earnings while retaining a migrant workforce
Creators: name: Stark, Oded
name: Budzinski, Wiktor
Publisher: name: Universität Tübingen
Year: 2018
Subjects: subject: Economics
subject: 330
subject: Migration
subject: Taxing migrants
subject: Target migrants
subject: Non-target migrants

description: We study policies that are aimed at retaining a migrant workforce in a Gulf State while introducing a tax on migrant earnings. We single out Qatar as a case study. We consider two types of migrants: target migrants, and non-target migrants. If migrants are target migrants, we show that in order to neutralize the effect of a tax on their earnings, Qatar needs to extend the length of time migrants are allowed to stay. Such a scheme can work even when the migrants experience utility loss from staying longer in Qatar. If migrants are non-target migrants, we show that implementation of a lottery scheme in which the prizes are life-long residency in Qatar can “compensate” for the imposition of the tax. In both cases, we present numerical examples that illustrate the magnitudes involved.
What can Android mobile app developers do about the energy consumption of machine learning?
Creators: McIntosh, A.
Hassan, S.
Hindle, Abram
Publisher: name: University of Alberta Library
Year: 2018

Machine learning is a popular method of learning functions from data to represent and to classify sensor inputs, multimedia, emails, and calendar events. Smartphone applications have been integrating more and more intelligence in the form of machine learning. Machine learning functionality now appears on most smartphones as voice recognition, spell checking, word disambiguation, face recognition, translation, spatial reasoning, and even natural language summarization. Excited app developers who want to use machine learning on mobile devices face one serious constraint that they did not face on desktop computers or cloud virtual machines: the end-user’s mobile device has limited battery life, thus computationally intensive tasks can harm end users’ phone availability by draining batteries of their stored energy. Currently, there are few guidelines for developers who want to employ machine learning on mobile devices yet are concerned about software energy consumption of their applications. In this paper, we combine empirical measurements of different machine learning algorithm implementations with complexity theory to provide concrete and theoretically grounded recommendations to developers who want to employ machine learning on smartphones. We conclude that some implementations of algorithms, such as J48, MLP, and SMO, do generally perform better than others in terms of energy consumption and accuracy, and that energy consumption is well-correlated to algorithmic complexity. However, to achieve optimal results a developer must consider their specific application as many factors — dataset size, number of data attributes, whether the model will require updating, etc. — affect which machine learning algorithm and implementation will provide the best results.
Understanding DevOps Education with Grounded Theory
Creators: Pang, C.
Hindle, Abram
Barbosa, D.
Publisher: name: University of Alberta Library
Year: 2020

DevOps stands for Development-Operations. It arises from the IT industry as a movement aligning development and operations teams. DevOps is broadly recognized as an IT standard, and there is high demand for DevOps practitioners in industry. Since ACM & IEEE suggest that undergraduate computer science curricula "must adequately prepare [students] for the workforce", we studied whether undergraduates acquired adequate DevOps skills to fulfill the demand for DevOps practitioners in industry. We employed Grounded Theory (GT), a social science qualitative research methodology, to study DevOps education from academic and industrial perspectives. In academia, academics were not motivated to learn or adopt DevOps, and we did not find strong evidence of academics teaching DevOps. Academics need incentives to adopt DevOps, in order to stimulate interest in teaching DevOps. In industry, DevOps practitioners lack clearly defined roles and responsibilities, for the DevOps topic is diverse and growing too fast. Therefore, practitioners can only learn DevOps through hands-on working experience. As a result, academic institutions should provide fundamental DevOps education (in culture, procedure, and technology) to prepare students for their future DevOps advancement in industry. Based on our findings, we proposed five groups of future studies to advance DevOps education in academia.
title: Is there site for contrast ultrasound in the assessment of renal transplant complications ?
Creators: name: Aragon Tejada, Fatima
Publisher: name: European Congress of Radiology
Year: 2015
Subjects: subject: Transplantation
subject: Contrast agent-other
subject: Ultrasound
subject: Abdomen

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: Ultrasonography is often the imaging technique preferred fortransplantevaluation early in the postoperative period, and it can be used for long-term follow-up as well. Urologic and vascular complications do occur and have a substantial impact on...
PySStuBs: Characterizing Single-Statement Bugs in Popular Open-Source Python Projects
Creators: Kamienski, A.V.
Palechor, L.
Hindle, Abram
Bezemer, C.P.
Publisher: name: University of Alberta Library
Year: 2021

Single-statement bugs (SStuBs) can have a severe impact on developer productivity. Despite usually being simple and not offering much of a challenge to fix, these bugs may still disturb a developer’s workflow and waste precious development time. However, few studies have paid attention to these simple bugs, focusing instead on bugs of any size and complexity. In this study, we explore the occurrence of SStuBs in some of the most popular open-source Python projects on GitHub, while also characterizing their patterns and distribution. We further compare these bugs to SStuBs found in a previous study on Java Maven projects. We find that these Python projects have different SStuB patterns than the ones in Java Maven projects and identify 7 new SStuB patterns. Our results may help uncover the importance of understanding these bugs for the Python programming language, and how developers can handle them more effectively.
Organizational characteristics of HIV/syphilis testing services for men who have sex with men in South China: a social entrepreneurship analysis and implications for creating sustainable service models
Creators: name: Cui, Rosa
name: Han, Larry
name: Yang, Bin
name: Yang, Li-Gang
name: Muessig, Kathryn
name: Tucker, Joseph D
name: Liu, Feng-Ying
name: Bien, Cedric H
name: Lee, Ramon
name: Lo, Elaine J
name: Peeling, Rosanna W
name: Larson, Heidi
name: Wang, Kaidi
Publisher: name: BioMed Central
Year: 2014

description: Abstract Background UNAIDS has called for greater HIV/syphilis testing worldwide just as local HIV/syphilis testing programs are cut or altered. New models are needed to make HIV/syphilis testing services sustainable while retaining their essential public health function. Social entrepreneurship, using business principles to promote a social cause, provides a framework to pilot programs that sustainably expand testing. Drawing on fieldwork in two South Chinese cities, we examined organizational and financial characteristics of current HIV/syphilis testing systems for men who have sex with men (MSM) in addition to new pilot programs focused on revenue-generation for sustainability. Methods We undertook a qualitative study to explore organizational and financial characteristics of HIV/syphilis testing for MSM. Data were collected from men who have sex with men and policy stakeholders in Guangzhou and Hong Kong. Framework analysis was used to identify themes and then code the data. Results Our qualitative research study included MSM and policy stakeholders (n = 84). HIV/syphilis testing services were implemented at a wide range of organizations which we grouped broadly as independent community-based organizations (CBOs), independent clinics, and hybrid CBO-clinic sites. From an organizational perspective, hybrid CBO-clinic sites offered the inclusive environment of an MSM CBO linked to the technical capacity and trained staff of a clinic. From a financial perspective, stakeholders expressed concern about the sustainability and effectiveness of sexual health services reliant on external funding. We identified four hybrid CBO-clinic organizations that launched pilot testing programs in order to generate revenue while expanding HIV testing. Conclusion Many MSM CBOs are searching for new organizational models to account for decreased external support. Hybrid CBO-clinic organizations create a strong foundation to increase HIV/syphilis testing using social entrepreneurship models in China.
title: Imaging of extracardiac complications in infective endocarditis
Creators: name: Laroussi, Rahma
Publisher: name: European Congress of Radiology
Year: 2015
Subjects: subject: Cardiac
subject: CT
subject: MR
subject: Diagnostic procedure
subject: Aneurysms
subject: Infection
subject: Ischaemia / Infarction

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: 1. Describe the different extracardiac complications in infective endocarditis (IE). 2. Define the indication of imaging modalities in the exploration of extracardiac complications of...
What do programmers know about the energy consumption of software?
Creators: Pang, C.
Hindle, Abram
Adams, B.
Hassan, A.E.
Publisher: name: University of Alberta Library
Year: 2015

Traditionally, programmers received a range of training on programming languages and methodologies, but they rarely receive training on software energy consumption. Yet, the popularity of mobile devices and cloud computing requires increased awareness of software energy consumption. On mobile devices, battery life often limits computation. Under the demands of cloud computing, datacenters struggle to reduce energy consumption through virtualization and datacenter-infrastructure-management systems. Efficient software energy consumption is increasingly becoming an important nonfunctional requirement for programmers. However, are programmers knowledgeable enough about software energy consumption? Do they base their implementation decision on popular beliefs? Researchers surveyed more than 100 programmers regarding their knowledge of software energy consumption. They found that the programmers had limited knowledge of energy efficiency, lacked knowledge of the best practices to reduce software energy consumption, and were often unsure about how software consumes energy. These results highlight the need for better training and education on energy consumption and efficiency.
Cluster randomized controlled trial of a mobile market intervention to increase fruit and vegetable intake among adults in lower-income communities in North Carolina
Creators: name: Haynes-Maslow, Lindsey
name: Grady Smith, Jacqueline S
name: Gizlice, Ziya
name: McGuirt, Jared T.
name: Ammerman, Alice
name: Leone, Lucia A
name: Armstrong-Brown, Janelle
name: Tripicchio, Gina L
Publisher: name: BioMed Central
Year: 2018

description: Abstract Background Poorer diets and subsequent higher rates of chronic disease among lower-income individuals may be partially attributed to reduced access to fresh fruits and vegetables (F&V) and other healthy foods. Mobile markets are an increasingly popular method for providing access to F&V in underserved communities, but evaluation efforts are limited. The purpose of this study was to determine the impact of Veggie Van (VV), a mobile produce market, on F&V intake in lower-income communities using a group randomized controlled trial. Methods VV is a mobile produce market that sells reduced-cost locally grown produce and offers nutrition and cooking education. We recruited 12 sites in lower-income communities in North Carolina (USA) to host VV, randomizing them to receive VV immediately (intervention) or after the 6-month study period (delayed intervention control). Participants at each site completed baseline and follow-up surveys including F&V intake, perceived access to fresh F&V and self-efficacy for purchasing, preparing and eating F&V. We used multiple linear regression to calculate adjusted differences in outcomes while controlling for baseline values, education and clustering within site. Results Among 142 participants who completed the follow-up, baseline F&V intake was 3.48 cups/day for control and 3.33 for intervention. At follow-up, adjusted change in F&V consumption was 0.95 cups/day greater for intervention participants (p = 0.005), but was attenuated to 0.51 cups per day (p = 0.11) after removing extreme values. VV customers increased their F&V consumption by 0.41 cups/day (n = 30) compared to a 0.25 cups/day decrease for 111 non-customers (p = 0.04). Intervention participants did not show significant improvements in perceived access to fresh F&V, but increased their self-efficacy for working more F&V into snacks (p = 0.02), making up a vegetable dish with what they had on hand (p = 0.03), and cooking vegetables in a way that is appealing to their family (p = 0.048). Conclusions Mobile markets may help improve F&V intake in lower-income communities. Trial registration Clinicaltrials.gov ID# NCT03026608 retrospectively registered January 2, 2017.
The first transition Wolf-Rayet WN/C star in M31
Creators: name: Shara, Michael M.
name: Mikolajewska, Joanna
name: Caldwell, Nelson
name: Ilkiewicz, Krystian
name: Drozd, Katarzyna
name: Zurek, David
Publisher: name: arXiv
Year: 2015
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Three decades of searches have revealed 154 Wolf-Rayet (WR) stars in M31, with 62 of WC type, 92 of WN type and zero of transition type WN/C or WC/N. In apparent contrast, about two percent of the WR stars in the Galaxy, the LMC and M33 simultaneously display strong lines of carbon and nitrogen, i.e. they are transition type WN/C or WC/N stars. We report here the serendipitous discovery of M31 WR 84-1, the first transition star in M31, located at RA = 00:43:43.61 DEC = +41:45:27.95 (J2000). We present its spectrum, classify it as WN5/WC6, and compare it with other known transition stars. The star is unresolved in Hubble Space Telescope narrowband and broadband images, while its spectrum displays strong, narrow emission lines of hydrogen, [NII], [SII] and [OIII]; this indicates a nebula surrounding the star. The radial velocity of the nebular lines is consistent with that of gas at the same position in the disc of M31. The metallicity at the 11.8 kpc galactocentric distance of M31 84-1 is approximately solar, consistent with other known transition stars. We suggest that modest numbers of reddened WR stars remain to be found in M31.
description: 5 pages, 3 figures, submitted to Monthly Notices of the Royal Astronomical Society
Recovery from sevoflurane anesthesia: a comparison to isoflurane and propofol anesthesia
Creators: name: Ebert, TJ
name: Robinson, Brian
name: Urich, TD
name: Mackenthun, A
name: Pichotta, PJ
Publisher: name: Open Access Te Herenga Waka-Victoria University of Wellington
Year: 2023
Subjects: classificationCode: 32
subject: Biomedical and clinical sciences
classificationCode: 3202
subject: Clinical sciences

description: Background: Sevoflurane has a lower blood:gas partition coefficient than isoflurane, which may cause a more rapid recovery from anesthesia; it also might cause faster emergence times than for propofol-based anesthesia. We evaluated a database that included recovery endpoints from controlled, randomized, prospective studies sponsored by Abbott Laboratories that compared sevoflurane to isoflurane or propofol when extubation was planned immediately after completion of elective surgery in adult patients. Methods: Sevoflurane was compared to isoflurane in eight studies (N = 2,008) and to propofol in three studies (N = 436). Analysis of variance was applied using least squares method mean values to calculate the pooled mean difference in recovery endpoints between primary anesthetics. The effects of patient age and case duration also were determined. Results: Sevoflurane resulted in statistically significant shorter times to emergence (-3.3 min), response to command (-3.1 min), orientation (4.0 min) and first analgesic (-8.9 min) but not time to eligibility for discharge (-1.7 min) compared to isoflurane (mean difference). Times to recovery endpoints increased with increasing case duration with isoflurane but not with sevoflurane (patients receiving isoflurane took 4-5 min more to emerge and respond to commands and 8.6 min more to achieve orientation during cases longer than 3 hr in duration than those receiving sevoflurane). Patients older than 65 yr bad longer times to orientation, but within any age group, orientation was always faster after sevoflurane. There were no differences in recovery times between sevoflurane and propofol. Conclusions: Recovery from sevoflurane was 3-4 min faster than with isoflurane in all age groups, and the difference was magnified in longer-duration surgical cases (> 3 hr).
title: Multiplanar and Multiparametric MR Enterography in Crohn’s disease
Creators: name: Barbiera, Filippo
Publisher: name: European Congress of Radiology
Year: 2015
Subjects: subject: Abdomen
subject: Gastrointestinal tract
subject: Small bowel
subject: MR
subject: Contrast agent-intravenous
subject: Diagnostic procedure
subject: Pathology

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: To optimize small-bowel MR protocols; to describe the most important findings in Crohn’s disease...
Quantatitive relations between measurement incompatibility, quantum steering, and nonlocality
Creators: name: Cavalcanti, Daniel
name: Skrzypczyk, Paul
Publisher: name: arXiv
Year: 2016
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The certification of Bell nonlocality or quantum steering implies the use of incompatible measurements. Here we make this connection quantitative. We show how to strengthen robustness-based steering and nonlocality quantifiers in order that they give strong lower bounds to previously proposed incompatibility quantifiers. Our results can be seen from two perspectives. On the one hand, they can be used to estimate how much steering or nonlocality can be demonstrated with a given set of measurements. On the other hand, they gives one-sided device-independent and device-independent ways of estimating measurement incompatibility.
description: v2: new title, abstract, results. Substantially re-written. 13 pages, 3 figures
A Simpler Model of Software Readability
Creators: Posnett, D.
Hindle, Abram
Devanbu, P.
Publisher: name: University of Alberta Library
Year: 2011

Software readability is a property that influences how easily a given piece of code can be read and understood. Since readability can affect maintainability, quality, etc., programmers are very concerned about the readability of code. If automatic readability checkers could be built, they could be integrated into development tool-chains, and thus continually inform developers about the readability level of the code. Unfortunately, readability is a subjective code property, and not amenable to direct automated measurement. In a recently published study, Buse et al. asked 100 participants to rate code snippets by readability, yielding arguably reliable mean readability scores of each snippet; they then built a fairly complex predictive model for these mean scores using a large, diverse set of directly measurable source code properties. We build on this work: we present a simple, intuitive theory of readability, based on size and code entropy, and show how this theory leads to a much sparser, yet statistically significant, model of the mean readability scores produced in Buse's studies. Our model uses well-known size metrics and Halstead metrics, which are easily extracted using a variety of tools. We argue that this approach provides a more theoretically well-founded, practically usable, approach to readability measurement.
title: Imaging findings after abdominal radiation therapy in oncologic patients.
Creators: name: Martin, Irene
Publisher: name: European Congress of Radiology
Year: 2015
Subjects: subject: Biological effects
subject: Radiation effects
subject: CT
subject: Abdomen

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: -To describe radiological findings due to the effects of radiation therapy in the normal abdominal and pelvic organs. -To differentiate these post-treatment changes from other...
Design of new anaesthesia machines (multiple letters) [4]
Creators: name: Robinson, Brian
name: Caldwell, C
name: Featherson, M
name: Weinberg, L
name: Skewes, D
Publisher: name: Open Access Te Herenga Waka-Victoria University of Wellington
Year: 2023
Subjects: classificationCode: 32
subject: Biomedical and clinical sciences
classificationCode: 3202
subject: Clinical sciences

description: No description supplied
Automatic topic classification of test cases using text mining at an Android smartphone vendor
Creators: Shimagaki, J.
Kamei, Y.
Ubayashi, N.
Hindle, Abram
Publisher: name: University of Alberta Library
Year: 2018

Background: An Android smartphone is an ecosystem of applications, drivers, operating system components, and assets. The volume of the software is large and the number of test cases needed to cover the functionality of an Android system is substantial. Enormous effort has been already taken to properly quantify "what features and apps were tested and verified?". This insight is provided by dashboards that summarize test coverage and results per feature. One method to achieve this is to manually tag or label test cases with the topic or function they cover, much like function points. At the studied Android smartphone vendor, tests are labelled with manually defined tags, so-called "feature labels (FLs)", and the FLs serve to categorize 100s to 1000s test cases into 10 to 50 groups.

Aim: Unfortunately for developers, manual assignment of FLs to 1000s of test cases is a time consuming task, leading to inaccurately labeled test cases, which will render the dashboard useless. We created an automated system that suggests tags/labels to the developers for their test cases rather than manual labeling.

Method: We use machine learning models to predict and label the functionality tested by 10,000 test cases developed at the company.

Results: Through the quantitative experiments, our models achieved acceptable F-1 performance of 0.3 to 0.88. Also through the qualitative studies with expert teams, we showed that the hierarchy and path of tests was a good predictor of a feature's label.

Conclusions: We find that this method can reduce tedious manual effort that software developers spent classifying test cases, while providing more accurate classification results.
A review of recovery from sevoflurane anaesthesia: Comparisons with isoflurane and propofol including meta-analysis
Creators: name: Robinson, Brian
name: Uhrich, TD
name: Ebert, TJ
Publisher: name: Open Access Te Herenga Waka-Victoria University of Wellington
Year: 2023
Subjects: classificationCode: 32
subject: Biomedical and clinical sciences
classificationCode: 3202
subject: Clinical sciences
classificationCode: 3209
subject: Neurosciences
subject: FOS: Clinical medicine
classificationCode: 3208
subject: Medical physiology

description: Background: Sevoflurane has a lower blood:gas partition coefficient than isoflurane and thus should be associated with a more rapid recovery from anaesthesia. Methods: A review and meta-analysis were employed to examine the recovery profiles of adult patients following anaesthesia, comparing sevoflurane to isoflurane and sevoflurane to propofol. Results: There were significant differences in times to several recovery events that favoured sevoflurane to isoflurane anaesthesia, including time to emergence, response to commands, extubation, and orientation. Likewise, there were significant differences in times to the same recovery events following anaesthesia with sevoflurane versus propofol. There were no differences in time to recovery room discharge when comparing sevoflurane to isoflurane or propofol. Conclusion: The observed differences between sevoflurane and isoflurane or propofol anaesthesia support the postulate that the use of sevoflurane is associated with a more rapid recovery from anaesthesia than either isoflurane or propofol.
The illustrated guide to a Ph.D. - Persian Translation
Creators: name: Might, Matt
Publisher: name: Zenodo
Year: 2023
Subjects: PhD Guide

description: This is a Persian translation of "The illustrated guide to a Ph.D.", which is presented in the following address: https://matt.might.net/articles/phd-school-in-pictures/ Translator: Alireza Khalilian https://orcid.org/0000-0002-4079-703X
title: CT Findings in the Elderly Lung
Creators: name: Ananias, Pedro
Publisher: name: European Congress of Radiology
Year: 2015
Subjects: subject: Geriatrics
subject: Biological effects
subject: Diagnostic procedure
subject: CT-High Resolution
subject: CT
subject: Thorax
subject: Lung

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: The purpose of this work is to describe the most common lung features found in thin-section CT of elderly individuals (with more than 75 years old) referred for pulmonology consultation who ultimately presented no significant or established...
A Circular-ribbon Solar Flare Following an Asymmetric Filament Eruption
Creators: name: Liu, Chang
name: Deng, Na
name: Liu, Rui
name: Lee, Jeongwoo
name: Pariat, Etienne
name: Wiegelmann, Thomas
name: Liu, Yang
name: Kleint, Lucia
name: Wang, Haimin
Publisher: name: arXiv
Year: 2015
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: The dynamic properties of flare ribbons and the often associated filament eruptions can provide crucial information on the flaring coronal magnetic field. This Letter analyzes the GOES-class X1.0 flare on 2014 March 29 (SOL2014-03-29T17:48), in which we found an asymmetric eruption of a sigmoidal filament and an ensuing circular flare ribbon. Initially both EUV images and a preflare nonlinear force-free field model show that the filament is embedded in magnetic fields with a fan-spine-like structure. In the first phase, which is defined by a weak but still increasing X-ray emission, the western portion of the sigmoidal filament arches upward and then remains quasi-static for about five minutes. The western fan-like and the outer spine-like fields display an ascending motion, and several associated ribbons begin to brighten. Also found is a bright EUV flow that streams down along the eastern fan-like field. In the second phase that includes the main peak of hard X-ray (HXR) emission, the filament erupts, leaving behind two major HXR sources formed around its central dip portion and a circular ribbon brightened sequentially. The expanding western fan-like field interacts intensively with the outer spine-like field, as clearly seen in running difference EUV images. We discuss these observations in favor of a scenario where the asymmetric eruption of the sigmoidal filament is initiated due to an MHD instability and further facilitated by reconnection at a quasi-null in corona; the latter is in turn enhanced by the filament eruption and subsequently produces the circular flare ribbon.
description: 7 pages, 5 figures, accepted to ApJ Letters
tDRmapper: challenges and solutions to mapping, naming, and quantifying tRNA-derived RNAs from human small RNA-sequencing data
Creators: name: Selitsky, Sara R
name: Sethupathy, Praveen
Publisher: name: BioMed Central
Year: 2015

description: Abstract Background Small RNA-sequencing has revealed the diversity and high abundance of small RNAs derived from tRNAs, referred to as tRNA-derived RNAs. However, at present, there is no standardized nomenclature and there are no methods for accurate annotation and quantification of these small RNAs. tRNA-derived RNAs have unique features that limit the utility of conventional alignment tools and quantification methods. Results We describe here the challenges of mapping, naming, and quantifying tRNA-derived RNAs and present a novel method that addresses them, called tDRmapper. We then use tDRmapper to perform a comparative analysis of tRNA-derived RNA profiles across different human cell types and diseases. We found that (1) tRNA-derived RNA profiles can differ dramatically across different cell types and disease states, (2) that positions and types of chemical modifications of tRNA-derived RNAs vary by cell type and disease, and (3) that entirely different tRNA-derived RNA species can be produced from the same parental tRNA depending on the cell type. Conclusion tDRmappernot only provides a standardized nomenclature and quantification scheme, but also includes graphical visualization that facilitates the discovery of novel tRNA and tRNA-derived RNA biology.
Automatic glossary term extraction from large-scale requirements specifications
Creators: name: Gemkow, Tim
name: Conzelmann, Miro
name: Hartig, Kerstin
name: Vogelsang, Andreas
Publisher: name: Technische Universität Berlin
Year: 2018
Subjects: subject: 004 Datenverarbeitung; Informatik
subject: requirements engineering
subject: natural language processing
subject: glossary term extraction
subject: Crowd RE

description: Creating glossaries for large corpora of requirments is an important but expensive task. Glossary term extraction methods often focus on achieving a high recall rate and, therefore, favor linguistic proecssing for extracting glossary term candidates and neglect the benefits from reducing the number of candidates by statistical filter methods. However, especially for large datasets a reduction of the likewise large number of candidates may be crucial. This paper demonstrates how to automatically extract relevant domain-specific glossary term candidates from a large body of requirements, the CrowdRE dataset. Our hybrid approach combines linguistic processing and statistical filtering for extracting and reducing glossary term candidates. In a twofold evaluation, we examine the impact of our approach on the quality and quantity of extracted terms. We provide a ground truth for a subset of the requirements and show that a substantial degree of recall can be achieved. Furthermore, we advocate requirements coverage as an additional quality metric to assess the term reduction that results from our statistical filters. Results indicate that with a careful combination of linguistic and statistical extraction methods, a fair balance between later manual efforts and a high recall rate can be achieved.
title: Radon Geology
Creators: name:  Lehné , Rouwen Johannes
name:  Cinelli , Giorgia
name:  Petermann , Eric
Publisher: name: Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV)
Year: 2021

description: With the 2013/59/EURATOM directive of the EU-Commission, the European member states were urged to update their radiation protection laws to account for the health risk of the exposure to elevated indoor radon levels and to prepare National Radon Action Plans (EC 2014). Following the directive, §121 of this Act states that areas shall be identified where the radon concentration (as an annual average) in a significant number of buildings is expected to exceed the national reference level of 300 Bq/m³. The European member states have to provide information on these so called “radon priority areas” by the end of 2020. The basis for the identification of those areas will be the map of the geogenic radon potential. For many regions the currently available data is not sufficient to provide a satisfying accuracy though, which means that additional field measurements are needed. Doing so, the selection of sampling sites ideally reflects both 1) the administrative level on which radon-priority areas will be delineated and 2) available knowledge about variability of landscape characteristics governing the geogenic radon potential. This session therefore is inviting contributions from the large field of action related to radon geology. The topics include but are not limited to: What are your approaches in planning measurements? Which methodological experiences did you collect (What works and what does not work)? Which results and interpretations came up so far? Temporal and spatial variability Influence of local phenomena (e.g. tectonics) From measurements to maps: how to predict spatially …….
Self-association of the Lentivirus protein, Nef
Creators: name: Temple, Brenda
name: Foster, John L
name: Denial, Sarah J
name: Garcia, J. Victor
Publisher: name: BioMed Central Ltd
Year: 2010

description: Abstract Background The HIV-1 pathogenic factor, Nef, is a multifunctional protein present in the cytosol and on membranes of infected cells. It has been proposed that a spatial and temporal regulation of the conformation of Nef sequentially matches Nef's multiple functions to the process of virion production. Further, it has been suggested that dimerization is required for multiple Nef activities. A dimerization interface has been proposed based on intermolecular contacts between Nefs within hexagonal Nef/FynSH3 crystals. The proposed dimerization interface consists of the hydrophobic B-helix and flanking salt bridges between R105 and D123. Here, we test whether Nef self-association is mediated by this interface and address the overall significance of oligomerization. Results By co-immunoprecipitation assays, we demonstrated that HIV-1Nef exists as monomers and oligomers with about half of the Nef protomers oligomerized. Nef oligomers were found to be present in the cytosol and on membranes. Removal of the myristate did not enhance the oligomerization of soluble Nef. Also, SIVNef oligomerizes despite lacking a dimerization interface functionally homologous to that proposed for HIV-1Nef. Moreover, HIV-1Nef and SIVNef form hetero-oligomers demonstrating the existence of homologous oligomerization interfaces that are distinct from that previously proposed (R105-D123). Intracellular cross-linking by formaldehyde confirmed that SF2Nef dimers are present in intact cells, but surprisingly self-association was dependent on R105, but not D123. SIVMAC239Nef can be cross-linked at its only cysteine, C55, and SF2Nef is also cross-linked, but at C206 instead of C55, suggesting that Nefs exhibit multiple dimeric structures. ClusPro dimerization analysis of HIV-1Nef homodimers and HIV-1Nef/SIVNef heterodimers identified a new potential dimerization interface, including a dibasic motif at R105-R106 and a six amino acid hydrophobic surface. Conclusions We have demonstrated significant levels of intracellular Nef oligomers by immunoprecipitation from cellular extracts. However, our results are contrary to the identification of salt bridges between R105 and D123 as necessary for self-association. Importantly, binding between HIV-1Nef and SIVNef demonstrates evolutionary conservation and therefore significant function(s) for oligomerization. Based on modeling studies of Nef self-association, we propose a new dimerization interface. Finally, our findings support a stochastic model of Nef function with a dispersed intracellular distribution of Nef oligomers.
Hadoop energy consumption reduction with hybrid HDFS
Creators: Polato, I.
Barbosa, D.
Hindle, Abram
Kon, F.
Publisher: name: University of Alberta Library
Year: 2016

Apache Hadoop has evolved significantly over the last years, with more than 60 releases bringing new features. By implementing the MapReduce programming paradigm and leveraging HDFS, its distributed file system, Hadoop has become a reliable and fault tolerant middleware for parallel and distributed computing over large datasets. Nevertheless, Hadoop may struggle under certain workloads, resulting in poor performance and high energy consumption. Users increasingly demand that high performance computing solutions address sustainability and limit energy consumption. In this paper, we introduce HDFSH, a hybrid storage mechanism for HDFS, which uses a combination of Hard Disks and Solid-State Disks to achieve higher performance while saving power in Hadoop computations. HDFSH brings to the middleware the best from HDs (affordable cost per GB and high storage capacity) and SSDs (high throughput and low energy consumption) in a configurable fashion, using dedicated storage zones for each storage device type. We implemented our mechanism as a block placement policy for HDFS, and assessed it over six recent releases of Hadoop with different architectural properties. Results indicate that our approach increases overall job performance while decreasing the energy consumption under most hybrid configurations evaluated. Our results also showed that, in many cases, storing only part of the data in SSDs results in significant energy savings and execution speedups.
title: Congenital anomalies of inferior vena cava and left renal vein: a retrospective study
Creators: name: Butorac, Sonja
Publisher: name: European Congress of Radiology
Year: 2015
Subjects: subject: Congenital
subject: Computer Applications-3D
subject: CT-Angiography
subject: CT
subject: Veins / Vena cava
subject: Vascular
subject: Anatomy

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Congenital anomalies of the inferior vena cava (IVC) are very rare. These anomalies of the IVC and its tributaries, especially the left renal vein (LRV), have become more commonly recognized in the cross-sectional imaging examinations performed in...
title: The value of Computed Tomography in pediatric neck diseases at the emergency department
Creators: name: Lopes Dias, João
Publisher: name: European Congress of Radiology
Year: 2015
Subjects: subject: Head and neck
subject: Emergency
subject: Paediatric
subject: CT
subject: Ultrasound
subject: MR
subject: Education
subject: Technical aspects
subject: Infection
subject: Inflammation
subject: Trauma

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: The authors provide a pictorial review of the computed tomography (CT) findings of the most common pediatric neck disorders at the emergency department, emphasizing its added value when compared to conventional radiography,ultrasonography (US), and...
Analyzing Techniques for Duplicate Question Detection on Q&A Websites for Game Developers
Creators: Kamienski, A.V.
Hindle, Abram
Bezemer, C.P.
Publisher: name: University of Alberta Library
Year: 2022

Game development is currently the largest industry in the entertainment segment and has a high demand for skilled game developers that can produce high-quality games. To satiate this demand, game developers need resources that can provide them with the knowledge they need to learn and improve their skills. Question and Answer (Q&A) websites are one of such resources that provide a valuable source of knowledge about game development practices. However, the presence of duplicate questions on Q&A websites hinders their ability to effectively provide information for their users. While several researchers created and analyzed techniques for duplicate question detection on websites such as Stack Overflow, so far no studies have explored how well those techniques work on Q&A websites for game development. With that in mind, in this paper we analyze how we can use pre-trained and unsupervised techniques to detect duplicate questions on Q&A websites focused on game development using data extracted from the Game Development Stack Exchange and Stack Overflow. We also explore how we can leverage a small set of labelled data to improve the performance of those techniques. The pre-trained technique based on MPNet achieved the highest results in identifying duplicate questions about game development, and we could achieve a better performance when combining multiple unsupervised techniques into a single supervised model. Furthermore, the supervised models could identify duplicate questions on websites different from those they were trained on with little to no decrease in performance. Our results lay the groundwork for building better duplicate question detection systems in Q&A websites for game developers and ultimately providing game developers with a more effective Q&A community.