Results 111 to 120 of about 160,405 (309)
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi +5 more
wiley +1 more source
Evaluation of the fertilising properties of composts containing herbal waste
This study aimed to investigate the physicochemical properties of fertiliser granules and compare their fertiliser value. The study used analytical methods, including potentiometric pH determination, the Kjeldahl method for nitrogen determination ...
Kinga Koziak +6 more
doaj +1 more source
Advanced Experiment Design Strategies for Drug Development
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
Granulation across the HR diagram
We have obtained ultra-high quality spectra (R=180,000; S/N>300) with unprecedented wavelength coverage (4400 to 7400 A) for a number of stars covering most of the HR diagram in order to test the predictions of models of stellar surface convection.
Asplund, M. +4 more
core +1 more source
Gastrointestinal Manifestations in Rubinstein‐Taybi Syndrome
ABSTRACT Rubinstein–Taybi syndrome is a rare genetic condition associated with a wide range of physical, cognitive, and developmental impairments, yet its gastrointestinal manifestations remain poorly characterized. Case reports and small series suggest a high prevalence of gastroesophageal reflux, constipation, dysphagia, and nutritional compromise ...
Mohamad Abi Nassif +3 more
wiley +1 more source
MHD simulations of the solar photosphere
We briefly review the observations of the solar photosphere and pinpoint some open questions related to the magnetohydrodynamics of this layer of the Sun.
Rieutord, M., Rincon, F., Roudier, T.
core +1 more source
ABSTRACT Griscelli Syndrome Type 2 (GS2) is a rare autosomal recessive disorder caused by pathogenic mutations in the RAB27A gene. Typically, it is characterized by cutaneous hypopigmentation, immunodeficiency, with or without neurological abnormalities secondary to hemophagocytic lymphohistiocytosis (HLH). Without treatment, GS2 often results in fatal
Dzhoy Papingi +6 more
wiley +1 more source
A Method of Kill Chains Fusion Based on Granulated Rules and Matrix Computation
Kill chains fusion based on the granulation rules and maintain the association information between the kill chains after the fusion is the focus of granularity research. Among these rules, this paper proposes a structured representation of kill chains in
Haijun Ye, Wei Gao
doaj +1 more source
Investigating the properties of granulation in the red giants observed by Kepler
More than 1000 red giants have been observed by NASA/Kepler mission during a nearly continuous period of ~ 13 months. The resulting high-frequency resolution (< 0.03 muHz) allows us to study the granulation parameters of these stars.
Ballot, Jérôme +22 more
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