Results 171 to 180 of about 122,075 (313)

CCT2 Promotes Prostate Cancer Progression Through EIF3F‐Dependent Stabilization of FASN

Advanced Science, EarlyView.
ABSTRACT Prostate cancer (PCa) is increasingly recognized to be driven by dysregulated lipid metabolism. Although fatty acid synthase (FASN) is highly expressed in PCa, the mechanisms governing FASN protein stability and its functional integration into oncogenic lipid metabolism remain poorly defined.
Shun Xu, Yifan Zhang, Haolin Li, Shengyu Zhao, Xiaoran Dai, Qili Xu, Mintian Fei, Chun Li, Zhihui Zou, Baojun Wang, Li Zhang, Hui Wang, Ligang Zhang, Chaozhao Liang   +13 more
wiley   +1 more source

Cross-Architectural Performance Portability of a Java Virtual Machine Implementation Abstract

, 2002
Permission is granted for noncommercial reproduction of the work for educational or research ...
Matthias Jacob, Nd Java Tm Virtual Machine   +1 more
core  

Correction: E2SVM: Electricity-Efficient SLA-aware Virtual Machine Consolidation approach in cloud data centers. [PDF]

PLoS One
Kumar V, Ali A, Mittal P, Aqeel I, Shuaib M, Alam S, Aalsalem MY.   +6 more
europepmc   +1 more source

PDIA6–SCD1 Axis Rewires Lipid Metabolism to Drive Gastric Cancer Progression

Advanced Science, EarlyView.
Protein disulfide isomerase A6 (PDIA6) is identified as an oncogenic driver in gastric cancer. PDIA6 directly binds and stabilizes SCD1 by limiting its ubiquitin–proteasome‐mediated degradation, thereby sustaining monounsaturated fatty acid (MUFA)‐enriched lipid homeostasis and lipid metabolic reprogramming.
Zhen Tian, Yifan Cheng, Jiajie Zhou, Ruiqi Li, Shuai Zhao, Ben Li, Zijie Xu, Mengli Zi, Yayan Fu, Chenkai Zhang, Qiannan Sun, Shantanu Baral, Sen Wang, Daorong Wang   +13 more
wiley   +1 more source

Fault classification in the architecture of virtual machine using deep learning. [PDF]

Sci Rep
Rawat A, Mishra A, Alsharif H, Alharthi RM, Gupta BB.   +4 more
europepmc   +1 more source

Construction of Sabatier Volcanoes for CO2 Hydrogenation to C1‐2 Oxygenates Using Data‐Efficient Machine Learning

Advanced Science, EarlyView.
A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
wiley   +1 more source

The Virtual Flute: An advanced fingering guide generated via machine intelligence

, 2006
The Virtual Flute is a web service that provides many thousands of machine-predicted alternative fingerings. Alternative fingerings can offer variations in intonation and timbre, and can be easier to play in different musical contexts.
Wolfe, Joseph, Smith, John, Botros, Andrew   +2 more
core  

Barracuda: a dynamic, Turing-complete GPU virtual machine for high-performance simulations. [PDF]

Med Biol Eng Comput
Duncan-Gelder P, O'Keeffe D, Bones PJ, Marsh S.   +3 more
europepmc   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

Advanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou, Lei Huang, Yan Zhou, Xiaohui Ning   +3 more
wiley   +1 more source

Energy-efficient cloud systems: Virtual machine consolidation with Γ -robustness optimization. [PDF]

iScience
Han X, Wang J, Wu J, Song J.
europepmc   +1 more source