Results 121 to 130 of about 133,077 (308)

Gold Nanoclusters as Dual Agents for Engineering Tumor Vascular Leakiness and Performing Photothermal Therapy

Advanced Functional Materials, EarlyView.
Many cancer nanotherapeutics, while potent, suffer from the inability to escape from the tumor vasculature, especially in the absence of endothelial permeability. In this work, ultrasmall gold nanoclusters could engineer nanomaterials induced endothelial leakiness (NanoEL) and harness strong NIR induced photothermal characteristics to suppress tumor ...
Nengyi Ni, Kuoran Xing, Bihan Zhang, Baoteng Wang, Yinglu Chen, Jianping Xie, Xiao Sun, Jinping Wang, David Tai Leong   +8 more
wiley   +1 more source

MP-SPILDL: A Massively Parallel Inductive Logic Learner in Description Logic

IEEE Access
This article presents MP-SPILDL, a massively parallel inductive logic learner in Description Logic (DL). MP-SPILDL is a scalable inductive Logic Programming (ILP) algorithm that exploits existing Big Data infrastructure to perform large-scale inductive ...
Eyad Algahtani
doaj   +1 more source

MagPiezo: A Magnetogenetic Platform for Remote Activation of Endogenous Piezo1 Channels in Endothelial Cells

Advanced Functional Materials, EarlyView.
MagPiezo enables wireless activation of endogenous Piezo1 channels without genetic modification using 19 nm magnetic nanoparticles and low‐intensity magnetic fields. It generates torque forces at the piconewton scale to trigger mechanotransduction in endothelial cells, standing as a novel platform to interrogate and manipulate Piezo1 activity in vitro.
Susel Del Sol‐Fernández, Mariarosaria De Simone, Yilian Fernández‐Afonso, Daniel Garcia‐Gonzalez, Pablo Martínez‐Vicente, Thomas van Zanten, Raluca M. Fratila, Maria Moros   +7 more
wiley   +1 more source

Meta-Interpretive LEarning with Reuse

Mathematics
Inductive Logic Programming (ILP) is a research field at the intersection between machine learning and logic programming, focusing on developing a formal framework for inductively learning relational descriptions in the form of logic programs from ...
Rong Wang, Jun Sun, Cong Tian, Zhenhua Duan   +3 more
doaj   +1 more source

A Bioresorbable Neural Interface for On‐Demand Thermal Pain Block

Advanced Functional Materials, EarlyView.
Bioresorbable, implantable neural electronics provide dynamic, on‐demand thermal modulation of peripheral nerves for safe, drug‐free pain relief. A microscale thin‐film heater and temperature sensor embedded within biodegradable encapsulants enable precise temperature control via real‐time feedback.
Jeonghwan Park, Hak‐Young Ahn, Minho Seong, Taehoon Kim, Yulin Zhou, Yameng Xu, Jaehee Lee, Ritika Raj Menghani, Yujin Choi, Minsu Park, Nadir Muzaffar, Youngeun Lee, Seung Gi Seo, Jong Uk Kim, Sang Min Won, Jahyun Koo, Elena Aprea, Taeyeon Kim, Ying Yan, Matthew R. MacEwan, Wilson Z. Ray, Raudel Avila, Geumbee Lee, John A. Rogers   +23 more
wiley   +1 more source

Symbolic Imitation Learning: From Black-Box to Explainable Driving Policies

Applied Sciences
Current imitation learning approaches, predominantly based on deep neural networks (DNNs), offer efficient mechanisms for learning driving policies from real-world datasets.
Iman Sharifi, Mustafa Yildirim, Saber Fallah   +2 more
doaj   +1 more source

Representing biases for Inductive Logic Programming [PDF]

, 1994
Birgit Tausend
openalex   +1 more source

Cell Calcification Models and Their Implications for Medicine and Biomaterial Research

Advanced Healthcare Materials, EarlyView.
Calcification, is the process by which the tissues containing minerals are formed, occurring during normal physiological processes, or in pathological conditions. Here, it is aimed to give a comprehensive overview of the range of cell models available, and the approaches taken by these models, highlighting when and how methodological divergences arise,
Luke Hunter, Caterina Vanelli Coralli, Robert Dzhanaev, Aaron Morgan, Willi Jahnen‐Dechent, Sergio Bertazzo   +5 more
wiley   +1 more source

MP-HTHEDL: A Massively Parallel Hypothesis Evaluation Engine in Description Logic

IEEE Access
We present MP-HTHEDL, a massively parallel hypothesis evaluation engine for inductive learning in description logic (DL). MP-HTHEDL is an extension on our previous work HT-HEDL, which also targets improving hypothesis evaluation performance for inductive
Eyad Algahtani
doaj   +1 more source

Novel 3D‐Printed Biophotonic Scaffold Displaying Luminescence under Near‐Infrared Light for Photopharmacological Activation and Biological Signaling Compound Release

Advanced Healthcare Materials, EarlyView.
Despite significant efforts in developing novel biomaterials to regenerate tissue, only a few of them have successfully reached clinical use. It has become clear that the next generation of biomaterials must be multifunctional. Smart biomaterials can respond to environmental or external stimuli, interact in a spatial‐temporal manner, and trigger ...
Sonya Ghanavati, Ekin Opar, Virginia Alessandra Gobbo, Carlo Matera, Fabio Riefolo, Rossella Castagna, Julien Colombelli, Andrew Draganski, Joshua Baggott, Mika Lastusaari, Pau Gorostiza, Laeticia Petit, Jonathan Massera   +12 more
wiley   +1 more source