Results 31 to 40 of about 85,010 (268)
Added Prognostic Value of EEG Reactivity in Comatose Patients Following Cardiac Arrest
ABSTRACT Objectives To evaluate the added prognostic value of EEG reactivity for favorable outcome compared with background analysis during and after targeted temperature management (TTM). Methods Prospective observational cohort study of comatose post–cardiac arrest patients admitted to a single academic center between 2017 and 2022, all undergoing ...
Sarah Caroyer +11 more
wiley +1 more source
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
DragTex: Generative point-based texture editing on 3D mesh
Creating 3D textured meshes using generative artificial intelligence has garnered significant attention recently. While existing methods support text-based texture generation and editing 3D meshes, they often struggle to precisely control pixels of ...
Yudi Zhang, Qi Xu, Lei Zhang
doaj +1 more source
ABSTRACT Background We aimed to identify the proportion of individuals with a confirmed diagnosis of childhood absence epilepsy (CAE) or juvenile absence epilepsy (JAE) who show a negative routine EEG (rEEG), and to determine the main factors associated with this finding.
Francesco Fortunato +7 more
wiley +1 more source
Objective To study the effect of two trunk control trainings on motor function recovery of stroke patients in sequela period. Methods A total of 42 patients were randomly divided into control group (N = 21) and observation group (N = 21).
Xiao-hua YAN +4 more
doaj
Laparoscopic approach to pelvic organ prolapse – the way to go or a blind alley?
Pelvic organ prolapse represents a relatively frequent diagnosis that requires attention due to its detrimental effect on quality of life. Not surprisingly, it is one of the commonest indications for surgery in premenopausal and postmenopausal women ...
Ewelina Malanowska +4 more
doaj +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Objective Clinical diagnosis is the most predominant in the criteria for determination of brain death. This paper aims to analyze the training results of clinical diagnosis for brain death determination and to improve the training program.
Ying-ying SU +6 more
doaj
A reinforcement learning strategy for p-adaptation in high order solvers
Reinforcement learning (RL) has emerged as a promising approach to automating decision processes. This paper explores the application of RL techniques to optimise the polynomial order in the computational mesh when using high-order solvers.
David Huergo +2 more
doaj +1 more source
Background It is necessary to improve medical students’ legal cognitive, affective, and psychomotor skills to prevent further legal issues in the medical profession. Choosing the proper teaching and assessment methods is crucial in this matter.
Mahmoud Abbasi +4 more
doaj +1 more source

