Results 231 to 240 of about 423,064 (316)

Positional scanning and computational modeling reveal determinants of legumain transpeptidase activity. [PDF]

Protein Sci
Klaushofer R, Dahms SO, Brandstetter H, Dall E.   +3 more
europepmc   +1 more source

Advancing Efficient Error Reduction in DNA Data Storage Systems with Deep Learning‐Based Denoising Models

Advanced Intelligent Discovery, EarlyView.
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo, Anshula Tandon, Nguyen Kim Uyen, Quoc Nam Le, Jee‐Hyong Lee, Sung Ha Park   +5 more
wiley   +1 more source

Strategy to step on obstacle during cross-country race to minimize overuse injury risk. [PDF]

PLoS One
Kang EH, Wilson DG, Petric JK, Ulman S.
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

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, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Recent Developments in Ferulic Acid- and Caffeic Acid-Based Hybrids with Potential Anticancer Properties. [PDF]

Molecules
Peter S, Sibali LL, Khwaza V, Paca AM.
europepmc   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

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

Evaluating Three Foundation Potentials for Predicting Selected Properties of the Co–Ni–Ru Alloy System

Advanced Intelligent Discovery, EarlyView.
Distributions of intrinsic stacking fault energies (ISFE) among different slip planes in the face‐centered cubic Co2Ni2Ru alloy, predicted by three foundation potentials (DPA, Orb, and SevenNet) and density functional theory (DFT) calculations. This study evaluates the efficacy of three foundation potentials (FPs)—SevenNet, DPA, and Orb—in predicting ...
Subah Mubassira, Thu Nguyen, Anvesh Nathani, Shoutian Sun, Ming Hu, Yanqing Su, Bin Wang, Iman Ghamarian, Shuozhi Xu   +8 more
wiley   +1 more source

Conformational study of lipases in different media: experimental implications for the conversion of oils from coffee waste in biodiesel

, 2012
SPIZZO, PATRIZIA, EBERT, CYNTHIA, FATTOR, DIANA, Navarini, . C., GARDOSSI, Lucia, FERRARIO, VALERIO, CANTONE, SARA, De Angelis, E.   +7 more
core  

Two novel real-time PCR assays for <i>Brucella</i> detection: a species-specific multiplex and a genus-level singleplex developed via large-scale whole genome sequencing data analysis. [PDF]

Microbiol Spectr
Hoover E, Chmara J, Duceppe M-O, Charron P, Lloyd D, Huang H, Surujballi O, Thanthrige-Don N, Arnold K, Hazelwood J, Kang M.   +10 more
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source