Results 171 to 180 of about 605,731 (305)
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
Advanced Science, EarlyView.This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
Advanced Science, EarlyView.This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen +7 more
wiley +1 more source
summary:I. Gutman (2022) constructed six new graph invariants based on geometric parameters, and named them Sombor-index-like graph invariants, denoted by $\mathcal {SO}_1, \mathcal {SO}_2, \dots , \mathcal {SO}_6$. Z. Tang, H. Deng (2022) and Z. Tang, Q.
Gao, Wei
core +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Extremal Graph and Hypergraph Theory
Providing a cohesive reference for advanced undergraduates, graduate students and even experienced researchers, this text contains both introductory and advanced material in extremal graph theory, hypergraph theory and Ramsey theory.
Dhruv Mubayi, Jacques A. Verstraete
core +1 more source
The Importance of Metal‐Organic Framework Linker Atoms for CO2 Reduction: A DFT Study
Advanced Science, EarlyView.Using DFT, we examine the role of linker atoms in CO2 reduction on copper‐based metal organic frameworks (Cu MOFs). Our calculations reveal that linker atoms may serve as both CO2 and H‐shuttling sites and suggest linker electrostatics as a descriptor for linker activity. ABSTRACT Although the metal within the secondary building unit of a metal‐organic
Ugochukwu Nwosu, Samira Siahrostami
wiley +1 more source
Topics in graph colouring and extremal graph theory
, 2016 In this thesis we consider three problems related to colourings of graphs and one problem in extremal graph theory. Let $G$ be a connected graph with $n$ vertices and maximum degree $\Delta(G)$. Let $R_k(G)$ denote the graph with vertex set all proper $k$
Feghali, Carl
core +1 more source
Prodeg type Shannon graph entropies with closed forms bounds and QSPR modeling. [PDF]
Sci RepAlsharafi M, Zeren Y.
europepmc +1 more source
Advanced Science, EarlyView.Local stress concentration disrupts metabolic homeostasis and induces inflammation in the nucleus pulposus (NP), thereby accelerating intervertebral disc degeneration (IDD). A biomimetic HA/ChS hydrogel millimeter sphere (ChS@HM) is developed to enable synergistic stress dispersion and sustained hydration lubrication.
Ang Li +4 more
wiley +1 more source
Spectral energies of redefined Zagreb indices and comparative QSPR applications to anticancer and alcohol datasets. [PDF]
Sci RepZeren Y, Çiçek E, Alsharafi M.
europepmc +1 more source