Results 71 to 80 of about 291,745 (282)
Next‐generation proteomics improves lung cancer risk prediction
Molecular Oncology, EarlyView.This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source
Removing Noise from Noisy Signal Data within Principal Component Analysis Framework
Düzce Üniversitesi Bilim ve Teknoloji DergisiThe separation of noise from data represents one of the fundamental problems in signal processing. Principal component analysis (PCA) is a multivariate statistical technique that is employed in all scientific disciplines for the identification of ...
Mehmet Cevri
doaj +1 more source
Algorithm for calculating influence of power transformer oil temperature change on the accuracy of allacoustic non-iterative partial discharge localization [PDF]
FME Transactions, 2018 This article investigates the all-acoustic method for partial discharge localization in a power transformer. This method is based on mathematical model that uses multilateration with Time Difference of Arrival (TDOA) principle and non-itterative ...
Poluzanski Vladimir S. +2 more
doaj
Jurnal Elektronika dan Telekomunikasi, 2016 One consideration during the design of long range controlled electrical system is the sudden outage of a Personal Computer (PC) caused by power failure.
Fadil Habibi Danufane +2 more
doaj +1 more source
Digital signal processing: the impact of convergence on education, society and design flow [PDF]
, 2005 Design and development of real-time, memory and processor hungry digital signal processing systems has for decades been accomplished on general-purpose microprocessors.
Andrew, Hunter, Appiah, Kofi
core
Molecular Oncology, EarlyView.The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source
LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
Molecular Oncology, EarlyView.Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix +13 more
wiley +1 more source
Dynamically Changing Parallelism with the Asynchronous Sequential Data Flows
Моделирование и анализ информационных систем, 2020 A statically typed version of the data driven functional parallel computing model is proposed. It enables a representation of dynamically changing parallelism by means of asynchronous serial data flows.
Alexander I. Legalov +3 more
doaj +1 more source
The VEX-93 environment as a hybrid tool for developing knowledge systems with different problem solving techniques [PDF]
, 1997 The paper describes VEX-93 as a hybrid environment for developing knowledge-based and problem solver systems. It integrates methods and techniques from artificial intelligence, image and signal processing and data analysis, which can be mixed.
García Martínez, Ada +7 more
core +1 more source
Basroparib inhibits YAP‐driven cancers by stabilizing angiomotin
Molecular Oncology, EarlyView.Basroparib, a selective tankyrase inhibitor, suppresses Wnt signaling and attenuates YAP‐driven oncogenic programs by stabilizing angiomotin. It promotes AMOT–YAP complex formation, enforces cytoplasmic YAP sequestration, inhibits YAP/TEAD transcription, and sensitizes YAP‐active cancers, including KRAS‐mutant colorectal cancer, to MEK inhibition.
Young‐Ju Kwon +4 more
wiley +1 more source