Results 151 to 160 of about 590 (188)
This study developed and externally validated a questionnaire‐based household risk model to identify families with multiple Helicobacter pylori infections. Using only noninvasive, readily available household information, the model showed good discrimination and enabled a family‐based screening strategy that substantially improved detection efficiency ...
Yifan Qiu +9 more
wiley +1 more source
A Synergistic Strategy for Data‐Constrained Deep Learning in Materials Science
This work develops a three‐stage machine learning framework for materials property prediction, integrating data preparation, graph‐based model training, and final property inference. By synergistically integrating attention pooling, multi‐task learning, auxiliary tasks, and classification‐corrected regression, this hybrid framework provide a ...
Chun Ting Shao +6 more
wiley +1 more source
The propagation rate coefficient of di(ethylene glycol) methyl ether methacrylate exhibits the same temperature dependency but is a factor of 12 higher in aqueous solution compared to bulk. Smaller increases are observed in ethanol and ethanol/water mixtures, with the value of the rate coefficient decreasing as the monomer concentration in solution is ...
Fatemeh Salarhosseini +1 more
wiley +1 more source
GABA+‐Edited Magnetic Resonance Spectroscopy Deep Learning Quality Assessment Framework
ABSTRACT Purpose Motivated by the need to improve GABA+‐edited magnetic resonance spectroscopy (MRS) quality, we developed a three‐module framework to improve transient averaging based on quality. We hypothesized that training a deep learning (DL) model to differentiate spectrum quality could improve transient averaging compared to traditional ...
Hanna Bugler +2 more
wiley +1 more source
ABSTRACT Purpose Quantification of the creatine kinase (CK) forward reaction rate (kf) in the human heart using phosphorus magnetic resonance spectroscopy is clinically important; however, it is limited by long acquisition times, operator subjectivity in analysis, and potential skeletal muscle contamination.
Aaron Axford +8 more
wiley +1 more source
ABSTRACT Purpose This study revisits the tetrahedral encoding strategy originally proposed to accelerate Diffusion Tensor Magnetic Resonance Imaging (DT‐MRI) by reducing the requisite number of diffusion‐weighted measurements to four. We examine its practical limitations and explore how artificial intelligence (AI) can extend its utility. Specifically,
Joshua Mawuli Ametepe +4 more
wiley +1 more source
ABSTRACT Objective To investigate uterine healing at delivery after fetoscopic myelomeningocele (MMC) closure in an ovine model. Methods This descriptive study was conducted in Romane ewes. Fetal MMC lesions were created after hysterotomy at 75 days of gestation.
Enora Parc +5 more
wiley +1 more source
Core stability in women with and without chronic pelvic pain
Abstract Background Physical activity (PA) and core stability levels are unknown for women with musculoskeletal chronic pelvic pain (CPP) compared to healthy women. At this time, there is no validated treatment method aimed specifically at CPP. Objective To elucidate the PA habits and core stability of women with and without CPP.
Hannah V. Chatwin +5 more
wiley +1 more source
Cationic‐Hydrophilic Di‐Block Copolymers: Surface‐Shielded Vectors for Gene Delivery
This study develops synthetic polycationic di‐block carriers for nucleic acid (NA) delivery in gene therapy. Consisting of a cationic block and a hydrophilic block, these carriers efficiently form complexes with NAs and shield them with a protective bioinert layer, enhancing stability during circulation in the bloodstream while reducing undesirable ...
Eliška Hrdá +4 more
wiley +1 more source
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Second order arithmetic as the model companion of set theory
Archive for Mathematical Logic, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Venturi, G, Viale, M
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