Results 101 to 110 of about 14,581 (243)

Ethical Precision in Nanoscale Brain Interfacing

Advanced Science, EarlyView.
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley   +1 more source

The Challenge to Our Community: Openness, Relevance, Trust

Frontiers in Research Metrics and Analytics, 2020
Caroline S. Wagner
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Policy Initiatives on Healthy Ageing in Russia from 2010-2020

European Journal of Mental Health, 2020
Background: A number of various policy strategies has been adopted in the last decade in response to population ageing in Russia. Governmental actions have yet to be evaluated in terms of their efficacy.
Elena Golubeva, Anastasia Emelyanova
doaj  

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

Relaxed Indexability and Index Policy for Partially Observable Restless Bandits

Management Science
This paper addresses an important class of restless multiarmed bandit (RMAB) problems that finds broad application in operations research, stochastic optimization, and reinforcement learning. There are N independent Markov processes that may be operated, observed and offer rewards. Due to the resource constraint, we can only choose a subset of [Formula:
openaire   +2 more sources

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

Combining Radiation‐Treated Tumor Vaccines With Mn‐MOF Nanoadjuvants to Amplify Radiation Induced Anti‐Tumor Immune Responses

Advanced Science, EarlyView.
Radiotherapy‐treated tumor membranes are integrated with Mn‐MOF nanoadjuvants to generate Mn@RM, a lymph node‐draining nanovaccine that delivers radiotherapy‐remodeled antigenic components. Mn@RM enhances dendritic cell activation, amplifies T cell‐mediated antitumor immunity, and synergizes with radiotherapy and PD‐1 blockade for combination cancer ...
Yiyu Wang, Qiqi Qi, Dezhong Li, Jingshi Tang, Weifeng Wang, Zushun Xu, Qi Xu, Fangfang Du, Qianyuan He   +8 more
wiley   +1 more source

Integrating an AI Copilot into a Knowledge Management System for Civil Protection: A Development-Oriented Case Study from Romania [PDF]

Ovidius University Annals: Economic Sciences Series
This paper presents the conceptual framework and ongoing development of a local AI Copilot system designed to support knowledge management and decision-making within the Romanian civil protection authority.
Alexandru Ioan
doaj  

AI‐Designed Cyclic Peptides Enable Controllable Modulation of the CD28 Immune Checkpoint

Advanced Science, EarlyView.
AI‐designed cyclic peptides enable controllable modulation of the CD28 immune checkpoint through reversible disruption of CD28‐CD80/CD86 interactions. The lead peptide, CIP‐3, suppresses T‐cell activation without intrinsic agonist activity, demonstrates dose‐dependent efficacy in a murine colitis model, and attenuates inflammatory cytokine production ...
Katarzyna Kuncewicz, Saurabh Upadhyay, Renjie Zhu, Hongliang Duan, Moustafa T. Gabr   +4 more
wiley   +1 more source