Results 121 to 130 of about 5,113,236 (295)
STRIDE: A Sequencing Depth Robust Metric for Sparse Chromosome Conformation Capture Data Comparison
A mean first passage time (MFPT)‐based representation transforms sparse Hi‐C contact maps into robust topological representations, preserving biologically meaningful chromatin features and facilitating robust analysis of TADs, chromatin loops, differential chromatin contacts, and sparse single‐cell Hi‐C data.
Bingxiang Xu +4 more
wiley +1 more source
The amorphous tungsten (W) is found to be a promising non‐magnetic interlayer simultaneously driving the long‐range interlayer exchange coupling and the large spin Hall effect in a synthetic antiferromagnet (SyAF). Thanks to these characteristics, efficient spin‐orbit torque switching is achieved in the SyAF.
Xueyao Hou +9 more
wiley +1 more source
We introduce an operator-induced notion of positive definiteness for linear functionals on the real polynomial algebra $P$. Instead of testing positivity on squares $p^2$, we test it on mixed products $p\,\mathsf T(p)$, where $\mathsf{T}$ is a degree ...
Esstafa, Youssef, Sfaxi, Ridha
core +1 more source
Perspective: Quantum Computing on Magnetic Racetrack
Magnetic domain walls emerge as mobile qubits on quantum racetracks, where chirality encodes quantum information and current‐driven motion enables flying‐qubit functionality. This Perspective outlines the physical principles, gate mechanisms, material requirements, and experimental roadmap for realizing scalable quantum computing with magnetic textures,
Ji Zou, Jelena Klinovaja, Daniel Loss
wiley +1 more source
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
On the Positive Definiteness of the Information Matrix Under the Binary and Poisson Mixed Models
Estimating function, Fisher information matrix, generalised linear mixed model, joint estimates, likelihood estimation, positive definiteness, regression effects, variance component of the random effects,
Rahul Mukerjee, Brajendra Sutradhar
core +1 more source
Strictly Positive Definite Functions
A complex-valued continuous function defined on \(\mathbb{R}\) is said to be strictly positive definite on \(\mathbb{R}\) if the \(n\) by \(n\) matrix \((f(x_i- x_j))\) is positive definite for all choices of pairwise distinct points \(x_1,x_2,\dots,x_n\in\mathbb{R}\), and all \(n\geq 1\).
openaire +1 more source
A scalable distributed observer framework for LiDAR sensor networks is presented for robust tracking and pose estimation of mobile robots. By combining adaptable 3D detection, clustering‐based communication reduction, and intermittent inertial fusion, accurate and efficient estimation is achieved under occlusions and sensing constraints, with formally ...
Isabella Luppi, Ehsan Hashemi
wiley +1 more source

