Results 161 to 170 of about 251,563 (274)

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Real‐Time Sampling‐Based Model Predictive Control Based on Reverse Kullback–Leibler Divergence and Its Adaptive Acceleration

Advanced Intelligent Systems, EarlyView.
This study presents a new sampling‐based model predictive control minimizing reverse Kullback‐Leibler divergence to quickly find a local optimum. In addition, a modified Nesterov's acceleration method is introduced for faster convergence. The method is effective for real‐time simulations and real‐world operability improvement on a force‐driven mobile ...
Taisuke Kobayashi, Kota Fukumoto
wiley   +1 more source

Multimodal Locomotion of Soft Robots

Advanced Intelligent Systems, EarlyView.
This review comprehensively surveys recent advances in multimodal locomotion within soft robotics. Typical locomotion modes are summarized and categorized. Furthermore, the underlying mechanisms enabling multimodal locomotion are discussed and classified into three primary categories: active control‐based, reconfiguration‐based, and environment ...
Zihao Yuan, Huangwei Ji, Kai Huang, Feifei Chen, Guoying Gu   +4 more
wiley   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source

Data‐Driven Design of Bimodal Networked Dielectric Elastomers for High‐Performance Artificial Muscles

Advanced Intelligent Systems, EarlyView.
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov, Hanzhi Ma, Junbo Peng, Huifeng Dong, Jiangshan Zhuo, Mengke Shi, Lvting Wang, Shengchao Jiang, Ye Shi   +8 more
wiley   +1 more source

Rheological behavior of bimodal distribution emulsions on flow adoptability. [PDF]

Biomicrofluidics, 2019
Park JY, Choi SB, Lee JS.
europepmc   +1 more source

Phylogenomics reveals the evolution of floral traits associated with pollinators and pollinator–prey conflict within the carnivorous Pinguicula subgenus Temnoceras

American Journal of Botany, EarlyView.
Abstract Premise The carnivorous plant genus Pinguicula (Lentibulariaceae) exhibits remarkable floral diversity associated with pollination, particularly in the largest subgenus Temnoceras, which spans Mexico and Central America. Despite this diversity, the relationships between species and the evolution of key floral traits remain unresolved. Here, we
Yunjia Liu, Qianshi Lin, Steven J. Fleck, Martín Mata‐Rosas, Enrique Ibarra‐Laclette, Tanya Renner   +5 more
wiley   +1 more source

Crisis versus extended care: bimodal distribution of length of stay in psychiatric inpatients. [PDF]

BMC Psychiatry
Hofmann AB, Spiller TR, Rapaport JA, Homan P, Seifritz E, Vetter S, Egger ST, Burrer A.   +7 more
europepmc   +1 more source

Bimodal Distribution of Thyroid Dysfunction Triggered by Covid-19 Infection. An Experience From a Single Endocrine Centre. A Short Report & Literature Review

, 2022
Elhadd TA, Gul W, Dabbous Z, Beer S, Bashir M.   +4 more
europepmc   +1 more source

Modeling of cytometry data in logarithmic space: When is a bimodal distribution not bimodal? [PDF]

Cytometry A, 2018
Erez A, Vogel R, Mugler A, Belmonte A, Altan-Bonnet G.   +4 more
europepmc   +1 more source