Results 191 to 200 of about 375,389 (288)

Peripheral RIPK2 degradation improves neurological outcomes after experimental ischemic stroke. [PDF]

J Cereb Blood Flow Metab
Howell JA, Larochelle J, Strawser M, De La Vega Mulet S, Tishko R, Gunraj R, Liu L, Candelario-Jalil E.   +7 more
europepmc   +1 more source

System Identification of Robotic Fish Swimming Reveals Roles of Reactive and Resistive Fluid Force in Two Distinct Swimming Gaits

Advanced Intelligent Systems, EarlyView.
System identification and particle image velocimetry reveal how a modular robotic fish changes thrust physics across gaits. A traveling‐wave, fish‐like motion draws thrust from resistive drag, while a resonant standing‐wave motion is driven by reactive pressure.
Donghao Li, Hankun Deng, Kundan Panta, Azar Panah, Bo Cheng   +4 more
wiley   +1 more source

Correction: The impact of inhibiting the Hippo signaling pathway effector molecule YAP1 on in vitro glioblastoma and glioblastoma stem cells. [PDF]

Sci Rep
Ozates NP, Bagca BG, Asik A, Gunduz C, Akin H, Avci CB.   +5 more
europepmc   +1 more source

Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning

Advanced Intelligent Systems, EarlyView.
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang, Zichao Wang, Zhiwei He, Qingquan Wei, Yong Zuo, Linzhen Nie, Zhishuai Yin   +6 more
wiley   +1 more source

Electroactive Metal–Organic Frameworks Enabling Unidirectional Electrochemical Capacitors and Logic Gates (MOF‐CAPode)

Angewandte Chemie, EarlyView.
MOF‐CAPodes are introduced by pairing various p‐MOFs with an n‐MOF as electrode materials in a battery‐like assembly. The devices achieve high figures of merit (RRI = 23.5; RRII = 94.4%) and perform excellently in prototypical logic gates (AND, OR) highlighting a new direction for ionological systems based on electroactive MOFs.
Tim Engelhardt, Leonid Shupletsov, Christin Gellrich, Cécilia Bauden, Przemyslaw Galek, Ahmed Bahrawy, Sonila Xhafa, Irena Senkovska, Julia Grothe, Stefan Kaskel   +9 more
wiley   +2 more sources

Energy, environment, and economy implications of electrifying minibus taxis in African cities. [PDF]

Sci Rep
Dumoulin J, Pena-Bello A, Jeannin N, Ballif C, Wyrsch N.   +4 more
europepmc   +1 more source

Biofilm Exoproteins From Staphylococcus Species Impede Re‐Epithelialization of Nasal Epithelial Cells During Wound Healing and Cease Ciliary Beat Frequency

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Introduction Chronic rhinosinusitis (CRS) is an inflammatory disease with many different contributing factors, including bacterial infection. CRS patients are typically managed with medical therapies; however, these treatments frequently fail, leaving surgery as the only viable option.
Sintayehu Ambachew, Mahnaz Ramezanpour, Clare M. Cooksley, Emma F. Barry, Lindsay Durr, Kevin Aaron Fenix, P. J. Wormald, Alkis J. Psaltis, Sarah Vreugde   +8 more
wiley   +1 more source

Life cycle assessment of electric and gasoline vehicles considering grid differences and cold climate in China. [PDF]

Sci Rep
Ma S, He Z, Sharaai AH, Matthew NK, Zainordin NS.   +4 more
europepmc   +1 more source

Pharmacological evaluation of Adenostemma lavenia acetone extract in Swiss Albino mice: Analgesic, anti‐inflammatory, and thrombolytic insights from in vivo, in vitro, density functional theory, and molecular docking studies

Animal Models and Experimental Medicine, EarlyView.
Adenostemma lavenia, a traditionally used medicinal plant, has been employed to manage pain, inflammation, and circulatory issues. This study investigates the analgesic, anti‐inflammatory, and thrombolytic potentials of the acetone extract of A. lavenia leaves (AEAL) using in vivo, in vitro, and in silico methods.
Nusrat Jahan Moon, Mahathir Mohammad, Md. Jahirul Islam Mamun, Fahmina Binty Azim Nova, Nazmul Hasan Eshaque, Md. Hossain Rasel, Zobayed Islam, Md. Mahmudul Hasan, Md. Liakot Ali, Md. Tanvir Chowdhury, S. M. Moazzem Hossen   +10 more
wiley   +1 more source

DRLO-VANET: a deep reinforcement learning-based offloading framework for low-latency and energy-efficient task execution in VANETs. [PDF]

Sci Rep
Neelima S, Sree SR, Ramakrishnaiah N.
europepmc   +1 more source