Results 71 to 80 of about 425,331 (287)

Fabrication, Properties, and Applications of Scaffolds for Bone Tissue Regeneration

Advanced Materials Technologies, EarlyView.
This review explores cutting‐edge biomaterials and fabrication techniques for scaffolds in bone tissue regeneration. It conducts a critical comparison of various strategies, meticulously analyzes the key contradictions in the field, and outlines an integrated development path spanning from biomaterial selection to clinical application, while ...
Shangsi Chen, Min Wang
wiley   +1 more source

Machine learning regression models for internal shame

Acta Psychologica
This study aims to predict Internal Shame (IS) based on childhood trauma, social emotional competence, cognitive flexibility, distress tolerance and alexithymia in an Iranian sample.
Nataša Kovač, Kruna Ratković, Hojjatollah Farahani, Peter Watson   +3 more
doaj   +1 more source

Lattice Structures for Bone Replacement: The Intersection of Bone Biomechanics, Lattice Design, and Additive Manufacturing

Advanced Materials Technologies, EarlyView.
This review outlines how understanding bone's biology, hierarchical architecture, and mechanical anisotropy informs the design of lattice structures that replicate bone morphology and mechanical behavior. Additive manufacturing enables the fabrication of orthopedic implants that incorporate such structures using a range of engineering materials ...
Stylianos Kechagias, Maxwell J. Munford, Frederik C.H. Masure, Richard J. van Arkel, Reece N Oosterbeek   +4 more
wiley   +1 more source

Truncated Stochastic Approximation with Moving Bounds: Convergence [PDF]

, 2011
In this paper we propose a wide class of truncated stochastic approximation procedures with moving random bounds. While we believe that the proposed class of procedures will find its way to a wider range of applications, the main motivation is to ...
Sharia, Teo
core   +1 more source

A regression-based Monte Carlo method to solve backward stochastic differential equations

, 2005
We are concerned with the numerical resolution of backward stochastic differential equations. We propose a new numerical scheme based on iterative regressions on function bases, which coefficients are evaluated using Monte Carlo simulations.
Gobet, Emmanuel, Lemor, Jean-Philippe, Warin, Xavier   +2 more
core   +2 more sources

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

pyStoNED: A Python Package for Convex Regression and Frontier Estimation

Journal of Statistical Software
Shape-constrained nonparametric regression is a growing area in econometrics, statistics, operations research, machine learning, and related fields.
Sheng Dai, Yu-Hsueh Fang, Chia-Yen Lee, Timo Kuosmanen   +3 more
doaj   +1 more source

Stochastic Low-Rank Kernel Learning for Regression

, 2011
We present a novel approach to learn a kernel-based regression function. It is based on the useof conical combinations of data-based parameterized kernels and on a new stochastic convex optimization procedure of which we establish convergence guarantees.
Anthoine, Sandrine, Glotin, Hervé, Machart, Pierre, Peel, Thomas, Ralaivola, Liva   +4 more
core   +2 more sources

NNMT Orchestrates Metabolic‐Epigenetic Reprogramming to Drive Macrophage‐Myofibroblast Transition in Hypertrophic Scarring

Advanced Science, EarlyView.
In macrophage‐myofibroblast transition, upregulated NNMT depletes S‐Adenosylmethionine‌ (SAM) and nicotinamide adenine dinucleotide(NAD+), thereby triggering epigenetic reprogramming via Histone H3 Lysine 27 acetylation (H3K27ac) accumulation at the promoter region of master transcription factor Prrx1.
Xiwen Dong, Weinan Guo, Yuxuan Qian, Wenyan Jin, Xiaozhen Li, Jingyuan Yang, Qingrong Ni, Shuang Wu, Fanni Li, Hua Wang, Chunying Li, Hong Cai   +11 more
wiley   +1 more source