Results 61 to 70 of about 4,529 (276)

Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation

Advanced Science, EarlyView.
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar, Yannaël Bossard, Rachel Sava, Tobias Gänswein, Lorenca Sadiraj, Jean‐Samuel Dupré, Manuel Schröter, J. Gray Camp, Fernando Cardes, Julian Bartram, Andreas Hierlemann   +10 more
wiley   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Multivariate Multiscale Entropy Applied to Center of Pressure Signals Analysis: An Effect of Vibration Stimulation of Shoes

Entropy, 2012
Falls are unpredictable accidents and resulting injuries can be serious to the elderly. A preventative solution can be the use of vibration stimulus of white noise to improve the sense of balance.
Jiann-Shing Shieh, Chuan Wu, Bernard C. Jiang, Ku-Ping Chen, Maysam F. Abbod, Quan Liu, Qin Wei, Kai-Hong Wang, Dong-Hai Liu   +8 more
doaj   +1 more source

Traffic speed prediction of high‐frequency time series using additively decomposed components as features

IET Smart Cities, 2022
Traffic speed prediction is an integral part of an Intelligent Transportation System (ITS) and the Internet of Vehicles (IoV). Advanced knowledge of average traffic speed can help take proactive preventive steps to avoid impending problems.
Muhammad Ali, Kamaludin Mohamad Yusof, Benjamin Wilson, Carina Ziegelmueller   +3 more
doaj   +1 more source

Beyond d‐Band Catalysis: A Critical Review and Descriptor Framework for Rare‐Earth Engineering in Lithium–Sulfur Batteries

Advanced Science, EarlyView.
Rare‐earth catalysts regulate lithium–sulfur battery chemistry through f‐orbital–mediated interactions, enabling simultaneous polysulfide adsorption and catalytic conversion on conductive carbon hosts. This synergistic control suppresses the shuttle effect, accelerates redox kinetics, and guides stable Li2S nucleation, providing a mechanistic framework
Fan Wang, Shihzad Shakil, Guozhi Wu, Jiarui Huang, Hanhui Lei, Terence Xiaoteng Liu   +5 more
wiley   +1 more source

A Multivariate Approach for Drowsiness Detection Using Empirical Fourier Decomposition [PDF]

, 2023
In this study, our goal is to investigate the multivariate rhythmic characteristics of electroencephalogram (EEG) and electrooculogram (EOG) data in adaptive frequency scales for drowsiness detection.
Ram Bilas Pachori (12592933), Ashok Mahato (16989822), Kritiprasanna Das (14251745)   +2 more
core   +1 more source

Condition‐Associated Pattern Extraction and Recovery From Multi‐Condition Single‐Cell RNA‐seq Data With CAPER

Advanced Science, EarlyView.
Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li, Jin Ning, An Wang, Minxi Shi, Yuanze Chen, Guoliang Liu, Shiquan Sun   +6 more
wiley   +1 more source

A Multivariate Empirical Mode Decomposition–Based Data-Driven Approach for Extracting Task-Dependent Hemodynamic Responses in Olfactory-Induced fMRI

IEEE Access, 2019
Olfactory dysfunction is related to several clinical neurodegenerative diseases, such as Alzheimer's disease, multiple sclerosis, degenerative ataxias, Parkinson's disease, and so on.
Kuo-Wei Wang, Chia-Yuen Chen, Hsiao-Huang Chang, Chuan-Chih Hsu, Gong-Yau Lan, Hao-Teng Hsu, Kuo-Kai Shyu, Wing P. Chan, Po-Lei Lee   +8 more
doaj   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Gear Fault Diagnosis Based on APIT-SA-MEMD and FLLE

Jixie chuandong, 2022
Gears are often in a harsh working environment, and their vibration signals have the characteristics of non-linearity and non-stationarity. Therefore, it is of great significance to develop a fault diagnosis method suitable for gears.
Ji Haofei, Liu Huiling, Dong Jiaqiang
doaj