Results 71 to 80 of about 2,909,057 (354)

Ergothioneine supplementation improves pup phenotype and survival in a murine model of spinal muscular atrophy

FEBS Letters, EarlyView.
Spinal muscular atrophy (SMA) is a genetic disease affecting motor neurons. Individuals with SMA experience mitochondrial dysfunction and oxidative stress. The aim of the study was to investigate the effect of an antioxidant and neuroprotective substance, ergothioneine (ERGO), on an SMNΔ7 mouse model of SMA.
Francesca Cadile, Daniela Ratto, Giorgia Rastelli, Ottavia Eleonora Ferraro, Caterina Temporini, Sunil Kumar, Simona Boncompagni, Paola Rossi, Monica Canepari   +8 more
wiley   +1 more source

Timing Predictability in High-Performance Computing With Probabilistic Real-Time

IEEE Access, 2020
Application requirements in High-Performance Computing (HPC) are becoming increasingly exacting, and the demand for computational resources is rising. In parallel, new application domains are emerging, as well as additional requirements, such as meeting ...
Federico Reghenzani, Giuseppe Massari, William Fornaciari   +2 more
doaj   +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

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

Human-Error Prevention for Autonomous Edge Software Using Minimalistic Modern C++

Big Data and Cognitive Computing, 2019
In science and engineering using edge-embedded software, it is necessary to demonstrate the validity of results; therefore, the software responsible for operating an edge system is required to guarantee its own validity.
Ryo Fukano, Masato Ishikawa
doaj   +1 more source

Compositional semantics for real-time distributed computing

Information and Computation, 1985
A method to define the semantics of programs written in real-time languages is developed for the language Mini CSP-R. It takes in account the communication between several processes, parallel commands and real- time problems. The meaning of Mini CSP-R commands is defined denotationally by relating the meaning of each construct to the meaning of its ...
Willem P. de Roever, Willem P. de Roever, R. K. Shyamasundar, S. Arun-Kumar, Ron Koymans, Rob Gerth   +5 more
openaire   +5 more sources

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

An Architecture-Based Adaptation Framework for Soft Real-Time Applications

Dianxin kexue, 2012
Driven by the proliferation of mobile and pervasive computing, real-time systems are increasingly used in dynamic changing environments with variable user needs, hosting real-time applications ranging in number and nature over time.
Xiaoan Bao, Na Zhang, Ning Gui, Jinyu Song   +3 more
doaj   +2 more sources

LiReD: A Light-Weight Real-Time Fault Detection System for Edge Computing Using LSTM Recurrent Neural Networks

Italian National Conference on Sensors, 2018
Monitoring the status of the facilities and detecting any faults are considered an important technology in a smart factory. Although the faults of machine can be analyzed in real time using collected data, it requires a large amount of computing ...
Donghyun Park, Seulgi Kim, Yelin An, Jae-Yoon Jung   +3 more
semanticscholar   +1 more source

Escape from TGF‐β‐induced senescence promotes aggressive hallmarks in epithelial hepatocellular carcinoma cells

Molecular Oncology, EarlyView.
Chronic TGF‐β exposure drives epithelial HCC cells from a senescent state to a TGF‐β resistant mesenchymal phenotype. This transition is characterized by the loss of Smad3‐mediated signaling, escape from senescence, enhanced invasiveness and metastatic potential, and upregulation of key resistance modulators such as MARK1 and GRM8, ultimately promoting
Minenur Kalyoncu, Dilara Demirci, Sude Eris, Bengisu Dayanc, Ece Cakiroglu, Merve Basol, Merve Uysal, Gulcin Cakan‐Akdogan, Fang Liu, Mehmet Ozturk, Gökhan Karakülah, Serif Senturk   +11 more
wiley   +1 more source