Results 51 to 60 of about 2,781,483 (288)

UAV Collision Avoidance in Unknown Scenarios with Causal Representation Disentanglement

Drones
Deep reinforcement learning (DRL) has significantly advanced online path planning for unmanned aerial vehicles (UAVs). Nonetheless, DRL-based methods often encounter reduced performance when dealing with unfamiliar scenarios.
Zhun Fan, Zihao Xia, Che Lin, Gaofei Han, Wenji Li, Dongliang Wang, Yindong Chen, Zhifeng Hao, Ruichu Cai, Jiafan Zhuang   +9 more
doaj   +1 more source

Role Playing Learning for Socially Concomitant Mobile Robot Navigation

, 2017
In this paper, we present the Role Playing Learning (RPL) scheme for a mobile robot to navigate socially with its human companion in populated environments.
Ge, Shuzhi Sam, Jiang, Rui, Lee, Tong Heng, Li, Mingming   +3 more
core   +1 more source

A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller

International Journal of Adaptive Control and Signal Processing, EarlyView.
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg, Paulo Jefferson Dias de Oliveira Evald, Shivam Chaturvedi, Hilton Abilio Gründling, Rodrigo Varella Tambara, Wencong Su   +5 more
wiley   +1 more source

An examination of the relationship between risk perceptions, cultural-religious beliefs and coping during COVID-19 pandemic control in South Asian countries: a systematic review

BMC Psychology
Background Covid 19 was declared as a public health emergency by the World Health Organisation (WHO) due to its rapid spread and catastrophic effects on health.
Rakhshi Memon, Ayesha Khaliq, Veronica Ranieri, Muqaddas Asif, Mujeeb Masood Bhatti, Bilal Ahmad Khan, Nasim Chaudhry, Imran B. Chauhdry, Nusrat Husain, Sarah J. L. Edwards   +9 more
doaj   +1 more source

When does policy learning lead to policy change? Exploring the causal chain from learning to change

International Review of Public Policy
Policy learning is a crucial mechanism for policy change. Yet, there is still uncertainty about the conditions under which learning actually leads to change.
Sandra Plümer
doaj   +1 more source

Promising State Policies for Personalized Learning [PDF]

, 2016
This report is a valuable resource for state policymakers—whether they are seeking to create conditions in state policy to support personalized learning, moving forward with initiatives to develop personalized learning pilot programs, hosting task forces
Dale Frost, Maria Worthen, Susan Gentz, Susan Patrick   +3 more
core  

Smart Catheters for Diagnosis, Monitoring, and Therapy

Advanced Healthcare Materials, EarlyView.
This study presents a comprehensive review of smart catheters, an emerging class of medical devices that integrate embedded sensors, robotics, and communication systems, offering increased functionality and complexity to enable real‐time health monitoring, diagnostics, and treatment. Abstract This review explores smart catheters as an emerging class of
Azra Yaprak Tarman, Samiha Ahmed, Majed Othman Althumayri, Megan Guy, Darlenne Chavez Lugo, Frances S. Ligler, George T. Ligler, Rahmi Oklu, Hiroshi Kawahira, Michael J. McShane, Jun Kameoka, Jonathan Bova, Hatice Ceylan Koydemir   +12 more
wiley   +1 more source

Policy learning from evidence during polycrises: a case of EU environmental policy

Policy Design and Practice
Despite their increasing frequency and magnitude, research on how polycrises influence policymaking has been remarkably scarce. In this article, we approach this issue from an evidence-based policy learning perspective.
Bishoy Zaki, Valérie Pattyn, Ellen Wayenberg   +2 more
doaj   +1 more source

Kidney Organoids in Drug Development: Integrating Technological Advances and Standardization for Effective Implementation

Advanced Healthcare Materials, EarlyView.
This review examines how emerging enabling technologies enhance the physiological relevance, scalability, and reproducibility of kidney organoids, while advanced analytical approaches support model validation and deepen mechanistic insight into nephrotoxicity.
Helen Kearney, Silvia M. Mihăilă, Lorenzo Moroni, Carlos Mota   +3 more
wiley   +1 more source

Health literacy disparities in South Korea: insights from a latent profile analysis

BMC Public Health
Background Health literacy has been empirically linked to overall health outcomes. Existing interventions generally employ a variable-centred approach, often neglecting the cumulative impact of various factors and the ways different groups interact with ...
Sunghyun Kim, Suwon Hwang, Junhyup Lee, Mankyu Choi   +3 more
doaj   +1 more source