Results 61 to 70 of about 10,694 (250)

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Personalidade e coping em pacientes com transtornos alimentares e obesidade Personality and coping in patients with eating disorders and obesity

Psicologia: Reflexão e Crítica, 2009
Este estudo avalia o uso diferencial de coping e traço de personalidade em pacientes com transtornos alimentares (anorexia, bulimia e TASOE) e com obesidade e em população geral.
Renata Tomaz, Daniela S. Zanini
doaj   +1 more source

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

Advanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima   +3 more
wiley   +1 more source

Binge eating, purging and non-purging compensatory behaviours decrease from adolescence to adulthood: A population-based, longitudinal study

BMC Public Health, 2012
Background Subclinical forms of eating disorders (ED) are highly prevalent, but relatively little is known about age trends, gender differences and distinctions among symptoms.
Abebe Dawit, Lien Lars, Torgersen Leila, von Soest Tilmann   +3 more
doaj   +1 more source

Demographics and Outcomes of Patients With Eating Disorders Treated in Residential Care

Frontiers in Psychology, 2020
The use of residential eating disorder (ED) treatment has grown dramatically in the United States, yet there has been minimal evaluation of treatment outcomes.
Martin Fisher, Martin Fisher, Jennifer R. Henretty, Shelbi A. Cox, Ronald Feinstein, Ronald Feinstein, Victor Fornari, Victor Fornari, Lindsay Moskowitz, Lindsay Moskowitz, Marcie Schneider, Sara Levine, Joan Malizio, Joanna Fishbein   +13 more
doaj   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

Specialized group intervention for compulsive exercise in inpatients with eating disorders: feasibility and preliminary outcomes

Journal of Eating Disorders, 2018
Background Patients with eating disorders (ED) often suffer from compulsive exercise behavior, which is associated with lower short-term response to treatment and poorer long-term outcome.
Nina Dittmer, Ulrich Voderholzer, Mareike von der Mühlen, Michael Marwitz, Markus Fumi, Claudia Mönch, Katharina Alexandridis, Ulrich Cuntz, Corinna Jacobi, Sandra Schlegl   +9 more
doaj   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Chromosomal Instability Drives Glioblastoma Heterogeneity and Therapeutic Opportunities

Advanced Science, EarlyView.
ABSTRACT Glioblastoma, the most aggressive and lethal form of brain cancer, is defined by profound genomic instability, with Chromosomal Instability (CIN) playing a central role in driving tumor progression, therapy resistance, and poor prognosis. CIN is characterized by numerical and structural alterations, is driven by mechanisms such as mitotic ...
Amarnath Pal, Milan Patra, Rianita Mondal, Shubhasis Haldar   +3 more
wiley   +1 more source