Results 151 to 160 of about 3,559 (297)
Insights on the Impacts of Accelerometer Location on the Dynamics and Characteristics of Complex Structures. [PDF]
Sensors (Basel), 2023 Takeshita A +3 more
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Substructure of the Nucleon: Delineation of the Quark/Gluon Substructure [PDF]
Progress of Theoretical Physics Supplement, 1987 openaire +1 more source
Advanced Intelligent Discovery, EarlyView.This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley +1 more source
Genomic analysis reveals geography rather than culture as the predominant factor shaping genetic variation in northern Kenyan human populations. [PDF]
Am J Biol Anthropol, 2022 Taravella Oill AM +5 more
europepmc +1 more source
FRF Based Experimental – Analytical Dynamic Substructuring Using Transmission Simulator
, 2016 In dynamic substructuring, a complex structure is divided into multiple substructures that can be analysed individually and these individual component responses are coupled together to obtain the global response of the whole structure.
Konjerla, Krishna Chaitanya
core
Advanced Intelligent Discovery, EarlyView.A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
Advanced Intelligent Discovery, EarlyView.A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source
Facile Preparation of a Poly[2]Catenane Network Using Self‐Assembled [2]Catenane Unit
Angewandte Chemie, EarlyView.Polycatenanes show a higher degree of conformational freedom and mobility compared to covalent polymers. However, the number of its studies is far lower than that of other dynamic polymers. This may reflect the fact that the preparation of polycatenanes involves the complicated synthesis of covalent catenation.
Jinsa Li +5 more
wiley +2 more sources