Search results for "computer.software_genre"

REP2: A Web Server to Detect Common Tandem Repeats in Protein Sequences

2020

Ensembles of tandem repeats (TRs) in protein sequences expand rapidly to form domains well suited for interactions with proteins. For this reason, they are relatively frequent. Some TRs have known structures and therefore it is advantageous to predict their presence in a protein sequence. However, since most TRs diverge quickly, their detection by classical sequence comparison algorithms is not very accurate. Previously, we developed a method and a web server that used curated profiles and thresholds for the detection of 11 common TRs. Here we present a new web server (REP2) that allows the analysis of TRs in both individual and aligned sequences. We provide currently precomputed analyses f…

Reproducibility and accuracy in the morphometric and mechanical quantification of trabecular bone from 3Tesla magnetic resonance images

2014

Abstract Objective We used an animal model to analyze the reproducibility and accuracy of certain biomarkers of bone image quality in comparison to a gold standard of computed microtomography (μCT). Materials and methods We used magnetic resonance (MR) imaging and μCT to study the metaphyses of 5 sheep tibiae. The MR images (3 T) were acquired with a T1-weighted gradient echo sequence and an isotropic spatial resolution of 180 μm. The μCT images were acquired using a scanner with a spatial resolution of 7.5 μm isotropic voxels. In the preparation of the images, we applied equalization, interpolation, and thresholding algorithms. In the quantitative analysis, we calculated the percentage of …

Prospective validation of a time-lapse based algorithm for embryo selection

2014

First results of PACTE group's experimental research on translation competence acquisition : the acquisition of declarative knowledge of translation

2014

Autors llistats per ordre alfabètic. Investigadora principal: A. Hurtado Albir This paper presents the first results of empirical-experimental research into the Acquisition of Translation Competence (ATC): the acquisition of declarative knowledge about translation. This study is based on our previous research about Translation Competence (TC). Some of the data collection instruments have, however, been adapted for current use. Details of our research design include type of study, universe and sample population, study variables, data collection instruments, and data analysis processes. The dependent variables were knowledge of translation; translation project; identification and solution of …

Using text messages to bridge the intention-behavior gap? A pilot study on the use of text message reminders to increase objectively assessed physica…

2012

Sedentarism is a serious health concern in industrialized countries throughout the world. We examined whether a text message-based intervention, targeted at increasing daily levels of physical activity, would be more effective than a standard psychoeducational intervention and a control condition. Sixty-three individuals (43 women) with a mean age of 23.7 years participated in the study. They were randomly assigned to a psychoeducational standard intervention; an augmented intervention with additional short text messages sent to the mobile phones to remind participants of their action plans, and a control condition. Objectively assessed physical activity and self-efficacy were assessed pre-…

Writing to Learn Programming? : A Single Case Pilot Study

2016

This paper explores the use of writing-to-learn techniques in the context of programming education. It presents a pilot study where a writing assignment is introduced with the purpose of strengthening students' conceptual understanding of a programming construct. The intervention is evaluated using a single case research design, which is augmented by qualitative interview data. Students participating in the study were mildly positive towards the intervention and the results encourage more work on the topic. This work sets directions for further investigations into how writing-to-learn can strengthen programming education and contributes with insights into what kinds of results can be obtain…

Research in disaster settings: a systematic qualitative review of ethical guidelines

2016

Background Conducting research during or in the aftermath of disasters poses many specific practical and ethical challenges. This is particularly the case with research involving human subjects. The extraordinary circumstances of research conducted in disaster settings require appropriate regulations to ensure the protection of human participants. The goal of this study is to systematically and qualitatively review the existing ethical guidelines for disaster research by using the constant comparative method (CCM). Methods We performed a systematic qualitative review of disaster research ethics guidelines to collect and compare existing regulations. Guidelines were identified by a three-tie…

Journalism in virtual reality : opportunities and future research challenges

2016

This paper presents a state-of-the-art overview on journalism and its opportunities and challenges in virtual reality. First we take a look at what kind of real-life journalistic experiments there have been made in this field so far, then we analyze the research literature on journalistic VR. The paper proceeds to discuss the emergence of virtual reality and immersive journalism explored in the latest reports in the fields of HCI and VR design. In order to analyse VR-journalism further, early draft of analysis model is being developed based on sample of three VR-productions and four VR-applications. The paper concludes to discuss the results of the analysis and outlines more advanced and in…

Machine learning in management accounting research: Literature review and pathways for the future

2021

This paper explores the possibilities of machine learning (ML) methods in management accounting research and showcases one future avenue in practice by applying ML-based textual literature review to ML/AI research in accounting. The review reveals that machine learning methods in management accounting (MA) are still in their infancy, and current research in accounting has progressed in and focused mainly on three areas related to ML and AI: 1) effects on the field of accounting and the development of the accounting profession, 2) textual analysis related to accounting data/reports, and 3) prediction methods. Based on our literature review and recently published related ML research from othe…

An Adaptive Routing Mechanism for Efficient Resource Discovery in Unstructured P2P Networks

2005

The widespread adoption of large-scale decentralized peer-to-peer (P2P) systems imposes huge challenges on distributed search and routing. Decentralized and unstructured P2P networks are very attractive because they require neither centralized directories, nor precise control over network topology or data placement. However their search mechanisms are extremely unscalable, generating large loads on the network participants. In this paper, to address this major limitation, we propose and evaluate the adoption of an innovative algorithm for routing user queries. The proposed approach aims at dynamically adapting the network topology to peer interests, on the basis of query interactions among …