Results 61 to 70 of about 72,082 (280)
Correct identification of a probability distribution is crucial in many areas of parametric statistics, inappropriate choice of the model can result in misleading or even incorrect decisions.
Ivana Malá +2 more
doaj +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
HTFC gets 3D refractive index tomograms of flowing cells. Label‐free monocytes are engineered to express patterns of cytoplasmic vacuoles. From the tomogram, an efficient dimensionality reduction is operated. Interpretable features are extracted to classify the expression severity of phenotypes coexisting in each cell, visually represented by a seven ...
Marika Valentino +9 more
wiley +1 more source
Abstract Dental microwear texture analysis (DMTA) is widely applied for inferring diet in vertebrates. Besides diet and ingesta properties, factors like wear stage and bite force may affect microwear formation, potentially leading to tooth position‐specific microwear patterns.
Daniela E. Winkler +2 more
wiley +1 more source
Box-and-whisker plots of ADC kurtosis.
Box-and-whisker plots show trends in ADC kurtosis during the clinical course in the recurrent and non-recurrent groups. The mean value of kurtosis is indicated by the × symbol.
Koji Matsumoto (411764) +9 more
core +1 more source
Abstract Dental microwear texture analysis (DMTA) has emerged as a valuable method for investigating the feeding ecology of vertebrates. Over the past decade, three‐dimensional topographic data from microscopic regions of tooth surfaces have been collected, and surface texture parameters have been published for both extant and fossil species.
Mugino O. Kubo +4 more
wiley +1 more source
An Improved K-Means Algorithm Based on Kurtosis Test
Abstract Clustering is a process of classifying data into different classes and has become an important tool in data mining. Among many clustering algorithms, the K-means clustering algorithm is widely used because of its simplicity and high efficiency.
Tingxuan Wang, Junyao Gao
openaire +1 more source
King Aorta: Narrative anatomy education
Abstract The aim of this study was to investigate the effects of narrative anatomy education and traditional anatomy education on academic achievement. The study included 64 students who were randomly divided into two groups. The two groups were (n = 32) control (Group 1) and (n = 32) experimental (Group 2). The pretest scores of the two groups were 36.
Halil Yilmaz
wiley +1 more source
Active Brownian particle under stochastic position and orientation resetting in a harmonic trap
We present an exact analytical study of an active Brownian particle (ABP) subject to both position and orientation stochastic resetting in a two dimensional harmonic trap.
Amir Shee
doaj +1 more source
A Review of Wrapped Distributions for Circular Data
The wrapped method is the most widely used method for constructing distributions for circular data. In this paper, we provide a review of all known wrapped distributions, including 45 distributions for continuous circular data and 10 distributions for ...
William Bell, Saralees Nadarajah
doaj +1 more source

