Results 191 to 200 of about 491,707 (327)
Interactions of Computational Complexity Theory and Mathematics
Avi Wigderson
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DSBs are the most critical genomic lesions. Using the ChromInSight framework, It is revealed that 3D chromatin structure, rather than linear distance, shapes cluster‐scene between hub‐Nodes and DSB loci. The “spatial isolation–damage containment” hypothesis is proposed to illustrate how the genome responds to genomic damage and offer a powerful tool ...
Kang Xu+9 more
wiley +1 more source
Beyond Planar: Enhanced Performance of Hollow Fiber Dielectric Elastomer Actuators
This study presents a comprehensive analysis of hollow fiber dielectric elastomer actuators, highlighting their superior strain performance compared to planar actuators. By combining analytical modeling, numerical simulations, and experiments, it identifies optimal fiber geometries that maximize actuation efficiency.
Sina Jafarzadeh, Anne Ladegaard Skov
wiley +1 more source
A novel method for approximate solution of two point non local fractional order coupled boundary value problems. [PDF]
Tadoummant L+4 more
europepmc +1 more source
Towards a Mathematical Theory of DS Computation in SAC Dendrites
In this presentation, the authors begin with a discussion of dendritic Direction Selectivity (DS) based on a paper by Koren et. al. and then move on to suggesting the possibility of a mathematical theory of direction selectivity.
openaire +1 more source
This study introduces a lens‐free digital holography (LDH) method for detecting metal impurities in lead‐acid battery electrolytes. Using a green LED and CMOS camera, the technique captures holograms and analyzes reconstruction distances and gray‐scale differences.
Liang Xue+5 more
wiley +1 more source
A novel approach to group decision-making using generalized bipolar neutrosophic sets. [PDF]
Fahmi A, Khan A, Abdeljawad T.
europepmc +1 more source
Theory of Quantum Computation and Philosophy of Mathematics. Part II
Krzysztof Wójtowicz
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SCRIPT is a novel method inferring single‐cell cis‐regulatory relationships (CRRs) from transcriptomic and chromatin accessibility data. SCRIPT incorporates two key innovations: graph causal attention networks supported by empirical CRR evidence, and representation learning enhanced through pretraining on atlas‐scale single‐cell data.
Yu Zhang+13 more
wiley +1 more source
CAML: Commutative Algebra Machine Learning─A Case Study on Protein-Ligand Binding Affinity Prediction. [PDF]
Feng H+6 more
europepmc +1 more source