Results 51 to 60 of about 156,269,237 (277)
Multipoint electrotactile fingertip stimulation for grasping force feedback in virtual reality
Immersive virtual reality systems often lack realistic tactile feedback, preventing the closure of the sensorimotor loop that is essential for fine and dexterous object manipulation. In this study, we compared different encoding strategies for delivering
Eleonora Vendrame +7 more
doaj +1 more source
Performance Characteristics and Optimization of a Dual-Loop Cycle for a Domestic Refrigerator-Freezer [PDF]
A dual-loop cycle for a domestic refrigerator-freezer (RF) has a large energy saving potential because of lower compression ratio due to higher evaporating temperature in the fresh food compartment (R)-operation, and the individual optimization ...
Yoon, Won Jae +2 more
core
Structural and biochemical analysis of a B12 superbinder
BtuG proteins are vitamin B12 scavengers in Bacteroides thetaiotaomicron, a dominant human gut bacterium. We present crystal structures of three BtuG homologs bound to cobalamin and its precursor cobinamide, revealing picomolar binding affinities, among the highest known for any natural protein.
Jose M. Martinez Felices +3 more
wiley +1 more source
Mycobacterial 3‐methylcrotonyl‐CoA carboxylase uses a mobile biotin‐carrying domain to shuttle a carboxyl group between two catalytic sites, enabling carboxylation of 3‐methylcrotonyl‐CoA during leucine breakdown. Cryo‐electron microscopy captures the carrier at both sites and reveals an inward loop movement that may prevent futile rebinding to the ...
Ajit Yadav +2 more
wiley +1 more source
Optimization opportunities in human in the loop computational paradigm [PDF]
An emerging trend is to leverage human capabilities in the computational loop at different capacities, ranging from tapping knowledge from a richly heterogeneous pool of knowledge resident in the general population to soliciting expert opinions.
Wei, Dong
core +1 more source
Interpretable Decisions Trees via Human-in-the-Loop-Learning [PDF]
Interactive machine learning (IML) enables models that incorporate human expertise because the human collaborates in the building of the learned model.
Hexel, Rene +2 more
core +1 more source
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley +1 more source
Regularized GLISp for sensor-guided human-in-the-loop optimization
Human-in-the-loop calibration is often addressed via preference-based optimization, where algorithms learn from pairwise comparisons rather than explicit cost evaluations. While effective, methods such as Preferential Bayesian Optimization or Global optimization based on active preference learning with radial basis functions (GLISp) treat the system as
Matteo Cercola +3 more
openaire +4 more sources
Substrate Specific Closed-loop Optimization of Carbohydrate Protective Group Chemistry Using Bayesian Optimization and Transfer Learning [PDF]
A new way of performing reaction optimization within carbohydrate chemistry is presented. This is done by performing closed-loop optimization of regioselective benzoylation of unprotected glycosides using Bayesian optimization.
Christian Marcus, Pedersen +5 more
core +2 more sources
The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge +6 more
wiley +1 more source

