Results 131 to 140 of about 380 (255)

Magnetic Supraparticles as Identifiers in Single‐Layer Lithium‐Ion Battery Pouch Cells

open access: yesChemSusChem, Volume 18, Issue 6, March 15, 2025.
As an alternative to externally applied optical identifiers, magnetic supraparticles (SPs) can be used for contactless identification of lithium‐ion battery pouch cells via magnetic particle spectroscopy. This study validated the integration and detection of magnetic markers in three model scenarios.
Sara Li Deuso   +8 more
wiley   +1 more source

Making sense of transformer success. [PDF]

open access: yesFront Artif Intell
Angius N, Perconti P, Plebe A, Acciai A.
europepmc   +1 more source

Aboutness in imagination. [PDF]

open access: yesPhilos Stud, 2018
Berto F.
europepmc   +1 more source

A Co‐Designed Implicit‐Reset Path PFD and Current Mismatch Compensated CP Enabling Sub‐0.5% Mismatch and Dead Zone‐Free for Low‐Spur PLLs

open access: yesInternational Journal of Circuit Theory and Applications, EarlyView.
A co‐designed implicit‐reset phase‐frequency detector (PFD) and nonlinear amplifier‐assisted charge pump (CP) achieve dead zone‐free operation from 10 MHz to 4.7 GHz with < 0.5% current mismatch without calibration, enabling −80 dBc of reference spur and 0.50 ps of RMS jitter in a 180 nm of CMOS PLL.
A. Ghaemnia   +3 more
wiley   +1 more source

Examining Diagnostic Criteria for Atypical Anorexia Nervosa Post Metabolic Bariatric Surgery

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective To examine the applicability of current diagnostic criteria for atypical anorexia nervosa (AAN) to patients 1 year post Metabolic Bariatric Surgery (MBS). Method This prospective ongoing cohort study included patients from the multicenter Psychosocial Registry of Obesity Surgery assessed before surgery and 1 year‐post‐MBS.
Eva Conceição   +10 more
wiley   +1 more source

Beyond BMI: Unsupervised Machine Learning Clustering of Bioelectrical Impedance Phenotypes Is Associated With Weight‐Recovery Trajectories in Anorexia Nervosa

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective To identify data‐driven body composition phenotypes in patients with moderate‐to‐extreme anorexia nervosa (AN) using machine learning (ML) clustering of bioelectrical impedance analysis (BIA) parameters, and to test whether these phenotypes have specific psychopathological and childhood trauma profiles while correlating with early ...
Emanuele Cassioli   +12 more
wiley   +1 more source

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