Results 151 to 160 of about 5,261,802 (294)

Abstract Microkernels Meet Recursive Virtual Machines

, 2008
This paper describes a novel approach to providingmodular and extensible operating system functionality and encapsulated environments based on a synthesis of microkernel and virtual machine concepts.
Jay Lepreau, Mike Hibler, Patrick Tullmann, Bryan Ford, Godmar Back, Stephen Clawson   +5 more
core  

Fusing Direct and Indirect Measurements Through Multi‐Fidelity Learning For Accelerated Electrocaloric Materials Discovery

Advanced Science, EarlyView.
A multi‐fidelity framework integrates sparse direct and abundant indirect electrocaloric measurements. Multi‐objective active learning accelerates BaTiO3‐based electrocaloric materials discovery at –70∘C$^{\circ }{\rm C}$. A diffuse transition enables an electrocaloric strength of 0.06×$\times$10−6 Km/V at –70℃ with an operational temperature span of ...
Bo Wang, Pengfei Dang, Yuan Tian, Zhengwang He, Wei Gu, Lixue Zhang, Turab Lookman, Yumei Zhou, Dezhen Xue   +8 more
wiley   +1 more source

Developing virtual vending and automatic service machines for brain injury rehabilitation [Elektronisk resurs]

, 2002
Two different approaches for developing virtual environments (VE) for brain injury rehabilitation are described and discussed. The two VEs are built with the VR software World Up in the form of virtual vending and automatic service machines.
Boschian, Kerstin, Wallergård, Mattias,, Cepciansky, Miro, Sonesson, Bengt, Minör, Ulf, Davies, Roy,, Johansson, Gerd,, Lindén, Anita, Lund University.   +8 more
core  

Uncoupling Type I Interferon Benefits From Inflammatory Toxicity: Transformer‐Prioritized Precision Agonists for Potent and Safer Cancer Immunotherapy

Advanced Science, EarlyView.
A Transformer‐based AI framework, DLINP, screens millions of compounds to identify Co68, a cobalt‐pincer organometallic complex that biases TLR4‐MD2 signaling toward antitumor interferon activation while suppressing inflammatory toxicity through an early TLR4‐SYK‐STAT1 axis.
Xuefei Guo, Yang Zhao, Xianle Rong, Xingyu Chen, Xiao Wang, Tianyi Liu, Yunfei Xie, Yushu Zou, Pingsen Zhao, Qiang Liu, Fuping You   +10 more
wiley   +1 more source

Using Virtual Machines to Provide a Secure Teaching Lab Environment”, White Paper, Durham technical

, 2008
Using Virtual Machines to provide a ...
Harry Bulbrook
core  

Advances in Se Wide‐Bandgap Photovoltaics and TexSe1‐x SWIR Photodiodes

Advanced Science, EarlyView.
In this review, fundamental properties and current challenges in Se photovoltaics (PVs) for tandem and indoor PVs and TexSe1‐x alloys for short wave infrared photodiodes are discussed. A case is made for the practicality of elemental chalcogenide optoelectronics, and a pathway toward resolving the key challenges in these respective technologies is ...
Adam D. Alfieri, Deep Jariwala
wiley   +1 more source

Code Sharing Among Virtual Machines

, 2002
. Sharing of code among applications executing in separate virtual machines can lead to memory footprint reductions and to performance improvements. The design of a general and acceptable sharing mechanism is challenging because of several constraints ...
Grzegorz Czajkowski, Sun Microsystem Laboratories, Laurent Daynès, Nathaniel Nystrom   +3 more
core  

Modular Metamaterials for Adaptable MRI Signal Control: Combining Dipole Array With a New Hexagon‐Based Artificial Dielectrics

Advanced Science, EarlyView.
A flexible, hexagonally packed artificial dielectric providing a wide range of effective permittivities (εr ≈ 30–1400) without lumped elements was developed for clinical and ultra‐high‐field MRI. Combined with modular passive‐dipole arrays, the system enables adaptable RF field shaping through electric‐ and magnetic‐dipole tuning.
Santosh Kumar Maurya, Ilan Goldberg, Rita Schmidt   +2 more
wiley   +1 more source

Predicting Single‐Cell Perturbation Responses Across Biological Contexts With a Deep Generative Model Integrating Optimal Transport

Advanced Science, EarlyView.
Single‐cell perturbation responses are predicted across held‐out biological contexts using scPILOT, a query‐conditioned two‐stage latent response‐transfer framework. A shared latent representation supports cell‐level response estimation by latent optimal transport, followed by Leiden‐localized query‐specific transfer and adaptive weighting.
Jialiang Wang, Ziqi Liu, Zhengqian Zhang, Yikun Cao, Junjun Ren, Peng Cheng, Jingjing Tian, Lingyun Xie, Xin Lu, Zhanwei Du, Yongzhuang Liu   +10 more
wiley   +1 more source

Similarity‐Enhanced Representation Learning of Non‐Canonical Amino Acids for Therapeutic Peptide Modeling

Advanced Science, EarlyView.
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu, Lesong Wei, Jianmin Wang, Yuanpeng Xiong, Ruochi Zhang, Yu Wang, Chao Zha, Qiangcheng Zeng, Xin Gao   +8 more
wiley   +1 more source