Results 201 to 210 of about 218,517 (269)

Intersection between Eating Disorders and Obesity in Youth: Implications for Treatment. [PDF]

Curr Obes Rep
Button AM, Persaud A, Tanner AB, Balantekin KN, Tanofsky-Kraff M, Jebeile H, Wilfley DE.   +6 more
europepmc   +1 more source

Dual‐Functional Ingestible Passive Capsules for High‐Throughput Intestinal Sampling with Sealed Containment and Targeted Drug Delivery

Advanced Robotics Research, EarlyView.
To address challenges in high‐throughput intestinal sampling with sealed containment and target drug delivery, we developed a dual‐functional ingestible passive capsule with a dual‐triggered control system based on pH‐response and mechanical actuation.
Libing Huang, Houyu Ling, Xizong Chen, Yufei Duan, Yu Liu, Shuntian Cai, Yandan Ren, Wenlong Li, Lei Ren, Miao Wang   +9 more
wiley   +1 more source

Efficacy of interventions to prevent eating disorders in people with type 1 diabetes: a systematic review. [PDF]

J Eat Disord
D'Silva N, Sandoval NS, Gillespie KM, Wisting L, Hendrieckx C, Stice E, Jones L, Gannon SN, Ward W, White M, Bartlett SE.   +10 more
europepmc   +1 more source

Clinical features of eating disorders in anxiety-depressive disorders. [PDF]

Вікторія Огоренко, Viktor Kokashynskyi   +1 more
openalex   +1 more source

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

Gender differences in eating disorders. [PDF]

Front Nutr
Capuano EI, Ruocco A, Scazzocchio B, Zanchi G, Lombardo C, Silenzi A, Ortona E, Varì R.   +7 more
europepmc   +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

AI-Readiness in the Eating Disorders Field. [PDF]

Int J Eat Disord
Mitchison D.
europepmc   +1 more source