Results 171 to 180 of about 35,760 (243)
The authors complement bovine pan‐SV with massive novel structural variations (SVs) identified through long‐read sequencing of 83 globally distributed cattle breeds. Repetitive sequence‐mediated SVs (rep‐SV) exhibit distinct dynamic patterns throughout cattle sub‐speciation and/or domestication processes, including uneven distribution between chr‐X and
Zhifan Guo +16 more
wiley +1 more source
Modeling the Evolution of Dynamic Triadic Closure Under Superlinear Growth and Node Aging in Citation Networks. [PDF]
Liang L, Liu H, Gong SC.
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Quantifying Knowledge Production Efficiency with Thermodynamics: A Data-Driven Study of Scientific Concepts. [PDF]
Chumachenko A, Buttliere B.
europepmc +1 more source
Beyond the Non‐Hermitian Skin Effect: Scaling‐Controlled Topology from Exceptional‐Bound Bands
ABSTRACT We establish a novel mechanism for topological transitions in non‐Hermitian systems that are controlled by the system size. Based on a new paradigm known as exceptional‐bound (EB) band engineering, its mechanism hinges on the unique critical scaling behavior near an exceptional point, totally unrelated to the well‐known non‐Hermitian skin ...
Mengjie Yang, Ching Hua Lee
wiley +1 more source
This work establishes a pipeline that transforms fragmented literature into a structured database for graphitic carbon nitride photocatalyst discovery. A prompt‐engineered, cross‐model large language model ensemble automates high‐fidelity extraction, enabling interpretable machine learning to identify dominant performance descriptors. These data‐driven
Dianyuan Li +7 more
wiley +1 more source
A new exponential family of distributions with applications to engineering and medical data. [PDF]
Sapkota LP, Bam N, Kumar V.
europepmc +1 more source
Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang +15 more
wiley +1 more source
The noncentrosymmetric trilayer rhombohedral‐stacked MoS2 nanoflakes with enhanced sliding ferroelectric properties are synthesized via a molecular sieve‐assisted chemical vapor deposition process. The switchable polarization states, combined with the exceptional light/gate voltage modulated electrical properties of these nanoflakes, enable broadband ...
Qichao Xue +11 more
wiley +1 more source

