Results 231 to 240 of about 99,773 (316)
Addressing the Problem of Lysine Glycation Prediction in Proteins via Recurrent Neural Networks. [PDF]
Que-Salinas U +5 more
europepmc +1 more source
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
Diverse and flexible behavioral strategies arise in recurrent neural networks trained on multisensory decision making. [PDF]
Wierda TS +3 more
europepmc +1 more source
Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects
Mesoporous silica nanoparticles offer unique properties like high surface area, tunable pores, and functionalization. They excel in drug delivery, tissue engineering, and stimuli‐responsive therapies, enabling targeted and controlled treatments. With roles in cancer therapy and diagnostics, their clinical translation requires addressing challenges in ...
Miguel Manzano, María Vallet‐Regí
wiley +1 more source
Structure of activity in multiregion recurrent neural networks. [PDF]
Clark DG, Beiran M.
europepmc +1 more source
Mechanically Programmable DNA Hydrogel Microparticles for 3D Cellular Systems
DNA hydrogel microparticles are designed to exhibit controllable viscoelasticity and stiffness across three orders of magnitude from 30Pa$30 \,\mathrm{Pa}$ to 6.5kPa$6.5 \,\mathrm{kPa}$. They are uptaken into fibroblast spheroids where they are actively remodeled by cellular forces depending on their mechanical properties.
Tobias Walther +9 more
wiley +1 more source
Taming the chaos gently: a predictive alignment learning rule in recurrent neural networks. [PDF]
Asabuki T, Clopath C.
europepmc +1 more source
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Reductionist modeling of calcium-dependent dynamics in recurrent neural networks. [PDF]
Zeki M, Dag T.
europepmc +1 more source

