Results 141 to 150 of about 388,903 (284)
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu +5 more
wiley +1 more source
Convergence of Conditional Expectations
Ganssler, P., Pfanzagl, J.
openaire +3 more sources
The integration of ROS‐generating systems with H2S depletion strategies effectively overcomes the limitations imposed by endogenous antioxidant defenses on ROS‐based antimicrobial therapies. In this study, the Cu‐MOF is incorporated into pillararene‐embedded COF, achieving a “three‐in‐one” antimicrobial effect that markedly alleviated periodontal ...
Shuang Liang +9 more
wiley +1 more source
On the measurability of conditional expectations [PDF]
openaire +2 more sources
This study identifies the mechanosensor PIEZO1 as a key factor in promoting acute myeloid leukemia progression and uncovers a ferroptosis defense system mediated by PIEZO1‐HIF1A‐SLC7A11 axis that is essential for leukemia stem cell maintenance. This ferroptotic defense system may represent a unique vulnerability for leukemia stem cells, providing a ...
Tiantian Zhang +10 more
wiley +1 more source
SMarT‐Diff introduces a multi‐objective generative paradigm that integrates scaffold hopping with structure‐aware scoring to enable controlled exploration beyond the training distribution. The framework consistently balances drug‐likeness, synthesizes accessibility and bioactivity, yielding chemically diverse candidates with enhanced properties.
Yuwei Yang +8 more
wiley +1 more source
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Substitution in Conditional Expectation
Bahadur, R. R., Bickel, P. J.
openaire +3 more sources
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
Roadmap for High‐Throughput Ceramic Materials Synthesis and Discovery for Batteries
This work examines ceramic synthesis through the lens of high‐throughput synthesis and optimization, identifying opportunities for faster, adaptable routes. It emphasizes flexible liquid precursor–to–solid film methods over slower solid‐state approaches and highlights computer‐aided decision making to optimize both material properties and device ...
Jesse J. Hinricher +10 more
wiley +1 more source

