Results 81 to 90 of about 50,039 (279)

Tailor‐Made Protective LixAlSy Layer for Lithium Anodes to Enhance the Stability of Solid‐State Lithium–Sulfur Batteries

open access: yesAdvanced Materials Interfaces, EarlyView.
An intentionally added, chemically formed LixAlSy coating stabilizes the lithium–electrolyte interface in solid‐state Li–S batteries. The layer suppresses side reactions, preserves smooth charge transfer, and improves ion transport from the start. This approach offers a practical route to more durable solid‐state batteries and a clearer understanding ...
Xinyi Wang   +4 more
wiley   +1 more source

A Hierarchical Bayesian Framework for Constructing Sparsity-inducing Priors [PDF]

open access: yes, 2010
Variable selection techniques have become increasingly popular amongst statisticians due to an increased number of regression and classification applications involving high-dimensional data where we expect some predictors to be unimportant.
Caron, Francois   +3 more
core   +1 more source

Passive Shape‐Adaptive Fluidic Interface for Enhanced Skin‐Sensor Coupling in Wearable Devices

open access: yesAdvanced Materials Technologies, EarlyView.
This study presents a passive fluidic interface for wearable biosensors that adapts to static and dynamic body shape changes to maintain consistent skin contact. Flexible, fluid‐filled pouches redistribute pressure from high‐load areas to regions requiring improved contact, enhancing signal quality and comfort in a compact, low‐energy design for ...
Natalia Sanchez‐Tamayo   +6 more
wiley   +1 more source

Printed Organic Thermoelectric Generators: Progress and Challenges Towards Efficient Energy Harvesting

open access: yesAdvanced Materials Technologies, EarlyView.
Printed organic thermoelectric generators (OTEGs) enable flexible and sustainable energy harvesting from low‐grade heat. This Perspective critically assesses recent advances in printable thermoelectric materials, 2D and 3D device architectures, and current performance limits of printed OTEGs.
Vijitha Ignatious   +5 more
wiley   +1 more source

A Regularized Method for Selecting Nested Groups of Relevant Genes from Microarray Data

open access: yes, 2008
Gene expression analysis aims at identifying the genes able to accurately predict biological parameters like, for example, disease subtyping or progression.
De Mol, Christine   +3 more
core   +1 more source

Stress‐Normalized Sensitivity as a Comparative Benchmark for Intrinsically Piezoresistive Nanocomposite Materials in Wearable Electronics

open access: yesAdvanced Materials Technologies, EarlyView.
A stress‐normalised sensitivity metric (S = G/Y) is introduced as a materials‐level benchmark for intrinsically piezoresistive nanocomposites. By decoupling electromechanical response (G) from stiffness (Y), the framework enables direct comparison across diverse systems and clarifies design trade‐offs for wearable sensors.
Conor S. Boland
wiley   +1 more source

Comparative Analysis of Metaheuristics for Solving the Optimal Power Flow With Renewable Sources and Valve-Point Constraints

open access: yesIEEE Access
The Optimal Power Flow (OPF) problem, used to obtain efficient operation conditions with the lowest cost or the minimum power loss in electrical power systems, is a non-polynomial problem that becomes even harder to analyze when considering renewable ...
Gerardo Castanon   +5 more
doaj   +1 more source

Sparse generalized linear model with L 0 approximation for feature selection and prediction with big omics data

open access: yesBioData Mining, 2017
Background Feature selection and prediction are the most important tasks for big data mining. The common strategies for feature selection in big data mining are L 1, SCAD and MC+.
Zhenqiu Liu   +2 more
doaj   +1 more source

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

open access: yesAdvanced Robotics Research, EarlyView.
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo   +6 more
wiley   +1 more source

Conditional Gradient Algorithms for Rank-One Matrix Approximations with a Sparsity Constraint [PDF]

open access: yes, 2012
The sparsity constrained rank-one matrix approximation problem is a difficult mathematical optimization problem which arises in a wide array of useful applications in engineering, machine learning and statistics, and the design of algorithms for this ...
Luss, Ronny, Teboulle, Marc
core  

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