Binary Black Hole Spins: Model Selection with GWTC-3

The origin of the spins of stellar-mass black holes is still controversial, and angular momentum transport inside massive stars is one of the main sources of uncertainty.Here, we apply hierarchical Bayesian inference to derive constraints on spin models from the 59 most confident binary black hole merger events in the third gravitational-wave trans

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Role of the modernisation factor in commercial development of Tobolsk province settlements at the turn of the 19th and the 20th centuries

Trade att nighthawk hotspot is a kind of practical exponent of effective economic development and reflection of its performance.On the basis of changes in the turnover, export and import, financial institutions, the number of wholesale and retail locations and some other indicators one can judge the rise or fall of agricultural and industrial chara

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Design and development of an intelligent neck and head support system based on eye blink recognition for cervical dystonia

Abstract Cervical Dystonia, also known as spasmodic torticollis, is a painful disorder in which the neck muscles spasm, causing the head to twist or swivel, pull in one direction, or shake (tremor).It may also result in a forward or backward head tilt.In certain instances, the hands may also read more shake or tremble.This project focuses on design

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A Data-Driven Method for Selecting Optimal Models Based on Graphical Visualisation of Differences in Sequentially Fitted ROC Model Parameters

Differences in modelling techniques and model 9002nc performance assessments typically impinge on the quality of knowledge extraction from data.We propose an algorithm for determining optimal patterns in data by separately training and testing three decision tree models in the Pima Indians Diabetes and the Bupa Liver Disorders datasets.Model perfor

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