Results 101 to 110 of about 124,979 (266)
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley +1 more source
This work designs a peptide‐free polyelectrolyte with stable, switchable conformations and near‐infrared fluorescence in water. It harnesses a cooperative Fe3+‐triggered sheet‐to‐helix transition to generate nonlinear fluorescence quenching, enabling the ultrasensitive, real‐time visualization of Fe3+ ion distribution and metabolic trafficking at ...
Yeqiang Zhou +9 more
wiley +1 more source
BOLTZMANN SIGMOIDAL AND GUSSIUN SIGMOIDAL: An Analysis
n this note we have correlated SIGMOID function with BOLTZMANN distribution and as well as GAUSSIUN distribution. Here following two figures has been analysed mathematically.
openaire +1 more source
Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning +3 more
wiley +1 more source
Traumatismo cerrado de colon con lesión sigmoidea Blunt trauma of colon with sigmoid injury
Se trataba de una paciente de 71 años de edad y aparente buen estado de salud anterior, quien sufrió un traumatismo abdominal cerrado a causa de un accidente doméstico (caída de sus pies), que lesionó el sigmoide y trastornó el paso de asas intestinales ...
Enrique Legrá Zayas +3 more
doaj
Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao +4 more
wiley +1 more source
Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley +1 more source
We report the solid‐state ball milling, a traditional, reliable, mass‐productive material processing, to prepare the air‐stable and dual‐phase GeSe2‐x nanoparticles with extended photodetection feasibility toward optical‐wavelength regions. We further display photonic multi‐valued logic (MVL) circuit through the employment of a hybrid PMMA/GeSe2‐x ...
An‐Ting Tsai +8 more
wiley +1 more source
A regenerative molecular sensing platform that co‐localizes surface‐enhanced Raman spectroscopy (SERS) sensing and nanocavitation‐based actuation. Femtosecond‐laser triggered nanocavitation produces thermomechanical forces to locally regenerate SERS‐active nanogaps in protein‐rich biofluids while preserving optical performance.
Aditya Garg +8 more
wiley +1 more source
By leveraging strong antiferromagnetic coupling, radiation‐tolerant synthetic antiferromagnetic synaptic devices are developed. Their intrinsic nonlinearity emulates neuronal activation, while linear and symmetric conductance modulation mimics synaptic plasticity.
Mingxu Song +5 more
wiley +1 more source

