A multi-objective algorithm for virtual machine placement in cloud environments using a hybrid of particle swarm optimization and flower pollination optimization. [PDF]
Mejahed S, Elshrkawey M.
europepmc +1 more source
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen +7 more
wiley +1 more source
Shamir-based virtual machine placement policy
In order to alleviate the harm of co-location attack in cloud environment,a virtual machine placement strategy based on Shamir was proposed,and a virtual machine placement framework was designed.The security of key data was ensured by the blockchain in ...
Junfeng TIAN +3 more
doaj +2 more sources
PET Imaging of Cardiac Inflammation in Viral Myocarditis Using a DPP4‐Targeted Probe
This study describes a DPP4‐targeted PET probe for imaging myocardial inflammation by selectively targeting activated immune cells. Derived from the clinically approved small‐molecule inhibitor linagliptin, the probe demonstrates favorable biodistribution with specific cardiac uptake in myocarditis.
Wanhao Gao +14 more
wiley +1 more source
Diagnosing Performance Overheads in the Xen Virtual Machine Environment
Virtual Machine (VM) environments (e.g., VMware and Xen) are experiencing a resurgence of interest for diverse uses including server consolidation and shared hosting.
Willy Zwaenepoel +9 more
core +1 more source
When a master transcription factor (TF) is lost, bacteria can rapidly rewire gene regulatory networks by co‐opting related regulators. Using experimental evolution in Pseudomonas fluorescens, we show that TF promiscuity (low‐level, non‐cognate binding) provides the raw material for rewiring. Successful co‐option follows a predictable hierarchy governed
Tiffany B. Taylor, Alan M. Rice
wiley +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Virtual Assisted Self Interviewing (VASI): An Expansion of Survey Data Collection Methods to the Virtual Worlds by Means of VDCI [PDF]
Changes in communication technology have allowed for the expansion of data collection modes in survey research. The proliferation of the computer has allowed the creation of web and computer assisted auto-interview data collection modes.
Mark W. Bell +2 more
core
Applying the framework of Turing Machine developing system for implementing Java virtual machine
The Turing machine can be used for rigorous study of the computation theory. In theory the Turing machine can simulate modern computers, but the actual implementation would be very difficult.
Heh-Tyan Liaw +1 more
core +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source

