Results 51 to 60 of about 1,549,528 (298)
Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Investigation the Joint Probabilistic Behavior of River Flow Discharge-Suspended Sediment Load in Nazlochai Basin, Urmia [PDF]
Accurately determining the relationship between river flow discharge and suspended sediment load in watersheds is challenging due to the influence of natural and human-induced variables on river estimations.
Soraya Tavasoli +2 more
doaj +1 more source
Six latitude-longitude rectangular regions were selected (Four is on the 30°N line: around Ya'an, in the southwest of Hubei, in the souther of Jianghan Plain, west Hangzhou Bay.Others are Hainan Island and around Zhengzhou, one is in its south and ...
Tieyuan SHEN +5 more
doaj +1 more source
Objective To characterize the prevalence and correlates of dietary supplement use, identify commonly used supplements, and evaluate potential supplement–medication interactions among adults with systemic lupus erythematosus (SLE). Methods We analyzed cross‐sectional data from 451 adults in the Approaches to Positive, Patient‐centered Experiences of ...
Sarah L. Patterson +7 more
wiley +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
ACE: Application for Conditional probability Elicitation
<p>The first release of an R-Shiny HTML Application for Conditional probability Elicitation</p>This work has been funded by the Soil Security Programme through a Natural Environment Research Council grant NERC (NE/P014313)
Hassall, Kirsty L., Hassall, K. L.
core +1 more source
The conditional risk probability-based seawall height design method
The determination of the required seawall height is usually based on the combination of wind speed (or wave height) and still water level according to a specified return period, e.g., 50-year return period wind speed and 50- year return period still ...
Xing Yang, Xiaodong Hu, Zhiqing Li
doaj +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source

