Results 91 to 100 of about 1,171,281 (357)

Multi-Objective Workflow Scheduling With Deep-Q-Network-Based Multi-Agent Reinforcement Learning

IEEE Access, 2019
Cloud Computing provides an effective platform for executing large-scale and complex workflow applications with a pay-as-you-go model. Nevertheless, various challenges, especially its optimal scheduling for multiple conflicting objectives, are yet to be ...
Yuandou Wang, Hang Liu, Wanbo Zheng, Yunni Xia, Yawen Li, Peng Chen, Kunyin Guo, Hong Xie   +7 more
semanticscholar   +1 more source

Nicotinamide N‐methyltransferase promotes drug resistance in lung cancer, as revealed by nascent proteomic profiling

Molecular Oncology, EarlyView.
AZD9291 has shown promise in targeted cancer therapy but is limited by resistance. In this study, we employed metabolic labeling and LC–MS/MS to profile time‐resolved nascent protein perturbations, allowing dynamic tracking of drug‐responsive proteins. We demonstrated that increased NNMT expression is associated with drug resistance, highlighting NNMT ...
Zhanwu Hou, Zhen Wang, Fei Yang, Xiao Han, Lei Li, Huadong Liu   +5 more
wiley   +1 more source

Workflow

Monde du Livre, 2015
A workflow to calculate momentum budget associated with the Madden-Julian Oscillation over the Indian ...
openaire   +3 more sources

Surgical Workflow and Technical Tips for the Use of Intraoperative 3D Image and Navigation in Spine Surgery

Brazilian Neurosurgery
Navigated spinal surgery and intraoperative computed tomography (CT) scans are part of the modern armamentarium of spinal surgeons, improving the safety and accuracy of the procedures, facilitating from the correct implant insertion to the access of the ...
Andrei Fernandes Joaquim, Hatem B. Afana, Romulo Augusto Andrade de Almeida, Nicandro Figueiredo   +3 more
doaj   +1 more source

Editorial Notes

Digital Studies, 2011
This issue marks the return of Digital Studies/Le champ numérique after a major change in editorial offices.
Daniel O’Donnell
doaj   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

A Generic Workflow for the Data FAIRification Process

Data Intelligence, 2020
The FAIR guiding principles aim to enhance the Findability, Accessibility, Interoperability and Reusability of digital resources such as data, for both humans and machines.
Annika Jacobsen, R. Kaliyaperumal, Luiz Olavo Bonino da Silva Santos, B. Mons, E. Schultes, M. Roos, Mark Thompson   +6 more
semanticscholar   +1 more source

Adenosine‐to‐inosine editing of miR‐200b‐3p is associated with the progression of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira, Anna Skwarska, Karolina Chwialkowska, Agnieszka Ostrowska, Gabriela Sokolowska, Anna Zeller, Anna Erol, Andrzej Eljaszewicz, Bartosz Hanczaruk, Anna Michalska‐Falkowska, Agnieszka Tarasik, Joanna Reszec‐Gielazyn, Pawel Knapp, Marcin Moniuszko, Adam Kretowski   +14 more
wiley   +1 more source

Beyond the borders: Lessons from various industries adopted in anesthesiology

Journal of Anaesthesiology Clinical Pharmacology, 2019
Since the first public demonstration of anaesthesia in Boston, USA which happened around 172 years back, the field of anesthesiology has rapidly progressed, with many developments that have improved the quality and safety of anesthesia care.
Subramanyam S Mahankali, Priya Nair
doaj   +1 more source

Sensitivity analysis of environmental models: A systematic review with practical workflow

Environmental Modelling & Software, 2014
Sensitivity Analysis (SA) investigates how the variation in the output of a numerical model can be attributed to variations of its input factors. SA is increasingly being used in environmental modelling for a variety of purposes, including uncertainty ...
F. Pianosi, K. Beven, J. Freer, J. Hall, J. Rougier, D. Stephenson, Thorsten Wagener   +6 more
semanticscholar   +1 more source