Results 51 to 60 of about 552,325 (298)

Practical challenges in data‐driven interpolation: Dealing with noise, enforcing stability, and computing realizations

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley   +1 more source

Outcomes of Primary Endodontic Therapy in Medicaid Enrollees [PDF]

, 2020
The objective of this study was to determine factors affecting survival of teeth after nonsurgical root canal therapy (NSRCT) among enrollees of Wisconsin Medicaid during the years 2001-2009.
Gainey, Timothy
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

Fletcher-Turek Model Averaged Profile Likelihood Confidence Intervals [PDF]

, 2014
We evaluate the model averaged profile likelihood confidence intervals proposed by Fletcher and Turek (2011) in a simple situation in which there are two linear regression models over which we average. We obtain exact expressions for the coverage and the
Abeysekera, Waruni, Kabaila, Paul, Welsh, A. H.   +2 more
core   +3 more sources

ShcD adaptor protein drives invasion of triple negative breast cancer cells by aberrant activation of EGFR signaling

Molecular Oncology, EarlyView.
We identified adaptor protein ShcD as upregulated in triple‐negative breast cancer and found its expression to be correlated with reduced patient survival and increased invasion in cell models. Using a proteomic screen, we identified novel ShcD binding partners involved in EGFR signaling pathways.
Hayley R. Lau, Hayley S. Smith, Begüm Alural, Claire E. Martin, Laura A. New, Manali Tilak, Sara L. Banerjee, Hannah N. Robeson, Nicolas Bisson, Anne‐Claude Gingras, Jasmin Lalonde, Nina Jones   +11 more
wiley   +1 more source

Finding The Lazy Programmer's Bugs [PDF]

, 2011
Traditionally developers and testers created huge numbers of explicit tests, enumerating interesting cases, perhaps biased by what they believe to be the current boundary conditions of the function being tested. Or at least, they were supposed to.
Allwood, Tristan Oliver Richard, Allwood, Tristan Oliver Richard   +1 more
core   +1 more source

Platelet-rich-fibrin: A novel root coverage approach

Journal of Indian Society of Periodontology, 2009
Treatment of gingival recession has become an important therapeutic issue due to increasing cosmetic demand. Multiple surgical procedures have been developed to obtain predictable esthetic root coverage. More specifically, after periodontal regenerative surgery, the aim is to achieve complete wound healing and regeneration of the periodontal unit.
R Vijayalakshmi, E Pameela, T Ramakrishnan, A Geetha, K Anilkumar, Umasudhakar   +5 more
openaire   +4 more sources

Detecting homologous recombination deficiency for breast cancer through integrative analysis of genomic data

Molecular Oncology, EarlyView.
This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu, Katherine Eason, Suet‐Feung Chin, Paul A. W. Edwards, Raquel Manzano Garcia, Richard Moulange, Jia Wern Pan, Soo Hwang Teo, Sach Mukherjee, Maurizio Callari, Carlos Caldas, Stephen‐John Sammut, Oscar M. Rueda   +12 more
wiley   +1 more source

Large-coverage root lexicon extraction for Hindi [PDF]

Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics on - EACL '09, 2009
This paper describes a method using morphological rules and heuristics, for the automatic extraction of large-coverage lexicons of stems and root word-forms from a raw text corpus. We cast the problem of high-coverage lexicon extraction as one of stemming followed by root word-form selection.
Sandipan Dandapat, Cohan Sujay Carlos, Monojit Choudhury   +2 more
openaire   +2 more sources

Evaluation of KRAS and NRAS mutations in metastatic colorectal cancer: an 8‐year study of 10 754 patients in Turkey

Molecular Oncology, EarlyView.
This nationwide study evaluated KRAS and NRAS mutations in 10 754 Turkish patients with metastatic colorectal cancer. The results revealed a mutation frequency of 51.1%, with 46.6% having KRAS mutations, 4.5% having NRAS mutations, and 48.5% being wild‐type for both.
Gozde Kavgaci, Izzet Akiva, Yavuz Hakan Ozon, Hakan Berkil, Huseyin Karadayi, Omer Dizdar, Suayib Yalcin   +6 more
wiley   +1 more source