Results 91 to 100 of about 14,659,030 (367)

‘WildLift’: An Open-Source Tool to Guide Decisions for Wildlife Conservation

Frontiers in Ecology and Evolution, 2020
A recurring challenge for resource managers and decision makers is quantifying the trade-offs associated with alternative recovery actions for threatened species.
Mariana Nagy-Reis, Melanie Dickie, Péter Sólymos, Péter Sólymos, Sophie L. Gilbert, Craig A. DeMars, Robert Serrouya, Stan Boutin, Stan Boutin   +8 more
doaj   +1 more source

FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data

Computational Intelligence and Neuroscience, 2010
This paper describes FieldTrip, an open source software package that we developed for the analysis of MEG, EEG, and other electrophysiological data.
R. Oostenveld, P. Fries, E. Maris, J. Schoffelen   +3 more
semanticscholar   +1 more source

Software Development Standard and Software Engineering Practice: A Case Study of Bangladesh

, 2010
Improving software process to achieve high quality in a software development organization is the key factor to success. Bangladeshi software firms have not experienced much in this particular area in comparison to other countries.
Begum, Zerina, Hafiz, Mohd. Zulfiquar, Islam, Md. Saiful, Khan, Mohammed Shafiul Alam, Shoyaib, Md.   +4 more
core   +1 more source

Highly multiplexed digital PCR assay for simultaneous quantification of variant allele frequencies and copy number alterations of KRAS and GNAS in pancreatic cancer precursors

Molecular Oncology, EarlyView.
Combining melting curve analysis enhances the multiplexing capability of digital PCR. Here, we developed a 14‐plex assay to simultaneously measure single nucleotide mutations and amplifications of KRAS and GNAS, which are common driver genes in pancreatic cancer precursors. This assay accurately quantified variant allele frequencies in clinical samples
Junko Tanaka, Tatsuo Nakagawa, Yusuke Ono, Yoshio Kamura, Takeshi Ishida, Hidemasa Kawabata, Kenji Takahashi, Hiroki Sato, Andrew S. Liss, Yusuke Mizukami, Takahide Yokoi   +10 more
wiley   +1 more source

Pensando el desarrollo de software desde el usuario

Serie Científica de la Universidad de las Ciencias Informáticas, 2019
La complejidad creciente de los productos de software y las altas expectativas de los usuarios hace que sea muy importante aunar fuerzas para alcanzar la calidad.
Denia Madruga Hernández, Danae del C. Castillo Domínguez   +1 more
doaj  

Controversies in software engineering [PDF]

, 2004
NUL
Kerr, James H.
core  

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Protótipo de um software para registro de enfermagem em unidade de terapia intensiva neonatal

Aquichan, 2015
Introdução: o crescente volume de informações oriundas dos registros de enfermagem exige estratégias de tratamento do conhecimento produzido, de forma que as desvantagens do  prontuário de papel sejam evitadas. Objetivo: propõese neste estudo desenvolver
Luciana Medeiros Lima, Sérgio Ribeiro Santos   +1 more
doaj  

Crashed Software: Assessing Product Liability for Software Defects in Automated Vehicles [PDF]

, 2018
Automated vehicles will not only redefine the role of drivers, but also present new challenges in assessing product liability. In light of the increased risks of software defects in automated vehicles, this Note will review the current legal and ...
Kim, Sunghyo
core   +1 more source

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source