Results 211 to 220 of about 11,243,181 (388)
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi+2 more
wiley +1 more source
Mapping Hsp104 interactions using cross‐linking mass spectrometry
This study examines how cross‐linking mass spectrometry can be utilized to analyze ATP‐induced conformational changes in Hsp104 and its interactions with substrates. We developed an analytical pipeline to distinguish between intra‐ and inter‐subunit contacts within the hexameric homo‐oligomer and discovered contacts between Hsp104 and a selected ...
Kinga Westphal+3 more
wiley +1 more source
SDE-based software reliability additive models with masked data using ELS algorithm
The growing complexity of contemporary software systems, with multiple sub-modules, demands innovative modeling approaches, especially in addressing intricate failures and masked data generation.
Jianfeng Yang+4 more
doaj
Message passing variational autoregressive network for solving intractable Ising models
Deep neural networks have been used to solve Ising models, including autoregressive neural networks, convolutional neural networks, recurrent neural networks, and graph neural networks.
Qunlong Ma+4 more
doaj +1 more source
A Direction-Independent Algorithm for Determining the Forward and Backward Compute Point for A Term or Subscript During Compilation [PDF]
J. T. Ryan
openalex +1 more source
The C. elegans tetraspanin‐7 (tsp‐7) is a homologue of human CD63, which is a negative regulator of autophagy. The C. elegans strain, tm5761, has a dysfunctional (knockout) tsp‐7 gene. When compared to the wild‐type strain, the tm5761 strain shows increased: life‐ and health‐span; thermotolerance, and stress‐induced locomotion.
Brogan Jones+2 more
wiley +1 more source
Handling Optimization under Uncertainty Problem Using Robust Counterpart Methodology
In this paper we discuss the robust counterpart (RC) methodology to handle the optimization under uncertainty problem as proposed by Ben-Tal and Nemirovskii.
Diah Chaerani, Cornelis Roos
doaj
Browder spectra of closed upper triangular operator matrices
Let $ T_{B} = \left[\begin{array}{ll} A & B \\ 0 & D \end{array}\right] $ be an unbounded upper operator matrix with diagonal domain, acting in $ \mathcal H \oplus\mathcal K $, where $ \mathcal H $ and $ \mathcal K $ are Hilbert spaces.
Qingmei Bai+2 more
doaj +1 more source