Results 71 to 80 of about 552,020 (340)

Skeletal muscle myosin heavy chain fragmentation as a potential marker of protein degradation in response to resistance training and disuse atrophy

Experimental Physiology
We examined how resistance exercise (RE), cycling exercise and disuse atrophy affect myosin heavy chain (MyHC) protein fragmentation. The 1boutRE study involved younger men (n = 8; 5 ± 2 years of RE experience) performing a lower body RE bout with vastus
Daniel L. Plotkin, Madison L. Mattingly, Derick A. Anglin, J. Max Michel, Joshua S. Godwin, Mason C. McIntosh, Nicholas J. Kontos, João G. A. Bergamasco, Maíra C. Scarpelli, Vitor Angleri, Lemuel W. Taylor, Darryn S. Willoughby, C. Brooks Mobley, Andreas N. Kavazis, Carlos Ugrinowitsch, Cleiton A. Libardi, Michael D. Roberts   +16 more
doaj   +1 more source

Analog CMOS-based Resistive Processing Unit for Deep Neural Network Training [PDF]

, 2017
Recently we have shown that an architecture based on resistive processing unit (RPU) devices has potential to achieve significant acceleration in deep neural network (DNN) training compared to today's software-based DNN implementations running on CPU/GPU.
arxiv   +1 more source

Impact of Learning Rate on Noise Resistant Property of Deep Learning Models [PDF]

arXiv, 2022
The interest in analog computation has grown tremendously in recent years due to its fast computation speed and excellent energy efficiency, which is very important for edge and IoT devices in the sub-watt power envelope for deep learning inferencing.
arxiv  

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

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

Assessing the pharmacodynamic profile of intravenous antibiotics against prevalent Gram-negative organisms collected in Colombia

Brazilian Journal of Infectious Diseases, 2011
Objectives: This study was designed to simulate standard and optimized dosing regimens for intravenous antibiotics against contemporary populations of Escherichia coli, Klebsiella pneumoniae, Acinetobacter baumannii, and Pseudomonas aeruginosa using MIC ...
Maria Virginia Villegas, MD, MSc, David Felipe Briceno, MD, Sory Jamil Ruiz, MD, Guilherme H. Furtado, MD, David P. Nicolau, PharmD, FCCP, FIDSA   +4 more
doaj  

Lower-extremity resistance training on unstable surfaces improves proxies of muscle strength, power and balance in healthy older adults: a randomised control trial

BMC Geriatrics, 2016
Background It is well documented that both balance and resistance training have the potential to mitigate intrinsic fall risk factors in older adults. However, knowledge about the effects of simultaneously executed balance and resistance training (i.e ...
Nils Eckardt
doaj   +1 more source

Training large-scale ANNs on simulated resistive crossbar arrays [PDF]

, 2019
Accelerating training of artificial neural networks (ANN) with analog resistive crossbar arrays is a promising idea. While the concept has been verified on very small ANNs and toy data sets (such as MNIST), more realistically sized ANNs and datasets have not yet been tackled.
arxiv   +1 more source

Targeting the AKT/mTOR pathway attenuates the metastatic potential of colorectal carcinoma circulating tumor cells in a murine xenotransplantation model

Molecular Oncology, EarlyView.
Dual targeting of AKT and mTOR using MK2206 and RAD001 reduces tumor burden in an intracardiac colon cancer circulating tumor cell xenotransplantation model. Analysis of AKT isoform‐specific knockdowns in CTC‐MCC‐41 reveals differentially regulated proteins and phospho‐proteins by liquid chromatography coupled mass spectrometry. Circulating tumor cells
Daniel J. Smit, Thais Pereira‐Veiga, Helena Brauer, Michael Horn, Paula Nissen, Thomas Mair, Bente Siebels, Hannah Voß, Ruimeng Zhuang, Marie‐Therese Haider, Desiree Loreth, Margarita Iskhakova, Bele Lindemann, Julian Kött, Laure Cayrefourcq, Jasmin Wellbrock, Hartmut Schlüter, Klaus Pantel, Catherine Alix‐Panabières, Manfred Jücker   +19 more
wiley   +1 more source

Effect of Concurrent Training with Different Order, Resistance and Endurance Training on Sphingosine-1-Phosphate in Slow and Fast Twitch Muscles in Wistar Rats

مجله دانشگاه علوم پزشکی گرگان, 2022
Background and Objective: Sphingosine-1-phosphate (S1P) plays an important role in muscle biology and is involved in hypertrophy and activation of satellite cells.
Maliheh Bagheri, Amin Farzaneh Hesari, Hajar Abaszadeh   +2 more
doaj