Results 141 to 150 of about 2,223 (250)

A logic programming approach to parsing and production in fluid construction grammar

This paper presents a Logic Programming approach to parsing and production in Fluid Construction Grammar (FCG). It builds on previous work on the formalisation of FCG in terms of First Order Logic (FOL) concepts, more specifically on the definition of ...
Sierra Santibáñez, Josefina
core  

Design of Reprogrammable, Rotary, Single-Actuator Mechanical Logic Valves for Fluid Diversion

ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Boston, Massachusetts, USA. August 20–23, 2023.Fluid systems often require complex and plentiful valving which route a variety of ...
Burcat, Steven, Slocum, Alexander H., Bessette, Jonathan T.   +2 more
core   +1 more source

Schooling Trajectories and the Development of Brain Dynamics: A Comparative Study of Montessori and Traditional Education

Advanced Science, EarlyView.
We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua, Anira Escrichs, Yonatan Sanz Perl, Morten L. Kringelbach, Adele Diamond, Solange Denervaud, Gustavo Deco   +6 more
wiley   +1 more source

extending logic programs with description logic expressions for the semantic web

, 2011
Recently much attention has been directed to extending logic programming with description logic (DL) expressions, so that logic programs have access to DL knowledge bases and thus are able to reason with ontologies in the Semantic Web.
Shen Yi-Dong, Wang Kewen
core  

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

Highly Vertically Oriented Graphene Microstrip Pads With Ultrahigh Through‐Plane Thermal Conductivity and Ultralow Compressive Modulus for Efficient Heat Dissipation

Advanced Science, EarlyView.
Vertically aligned graphene microstrip pads (GMPs) break the traditional thermomechanical trade‐off in thermal interface materials. It simultaneously achieves an ultrahigh through‐plane thermal conductivity of 565.92 W m−1 K−1 and an ultralow compressive modulus below 115.16 kPa.
Xu Ran, Yaru Wang, Sijia Wu, Hejun Wang, Junhao Shen, Litao Sun, Xing Wu, Hengchang Bi   +7 more
wiley   +1 more source

Multi-staged tesla valve logic gates

, 2018
The idea of this project is to build a fluid logic control system using Tesla Valve, which is a passive-type check valve used for flow control in fluid mechanic system.
Zhu, Pei
core  

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

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source