Results 81 to 90 of about 151,396 (311)
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Translating Scholarship into Policy
Since the end of the Cold War, the incidence of international dispute peacemaking — especially third-party mediation of civil wars — has skyrocketed. At the same time, there has been a surge in the study of international dispute mediation. Not only has the quantity of research on international dispute mediation increased, but the research has become ...
Gartner, Scott Sigmund, Gaudion, Amy C.
openaire +2 more sources
Hard‐Magnetic Soft Millirobots in Underactuated Systems
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang +4 more
wiley +1 more source
Introduction Antimicrobial resistance (AMR) is a critical challenge to public health within the healthcare system globally and in Nigeria. It is one of the leading causes of morbidity, mortality, and emergency room visits in the 21st century.
James Esther +9 more
doaj +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Welfare policy and social transfers in Croatia
This Occasional Paper occurred as the byproduct of preparations for writing the report by Predrag Bejaković and Alastair McAuley “Welfare Policy and Social Transfers in the Republic of Croatia”, The World Bank, Europe and Central Asia Region, Poverty ...
Bejakovic, Predrag, McAuley, Alastair
core +1 more source
Promoting knowledge to policy translation for urban health using community-based system dynamics in Brazil. [PDF]
Morais LMO +9 more
europepmc +1 more source
A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett +5 more
wiley +1 more source
Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni +4 more
wiley +1 more source

