Results 21 to 30 of about 1,920 (200)

Ellipsoid Method for Linear Regression Parameters Determination

open access: yesКібернетика та комп'ютерні технології, 2020
Introduction. Linear regression parameters determination can be formulated as a non-smooth function minimization problem, which is Lp-norm of residual of the linear equations system.
V. Stovba
doaj   +1 more source

Impairment of microvascular blood flow in patients with type 2 diabetes and cardiovascular autonomic neuropathy

open access: yesСахарный диабет, 2021
BACKGROUND: Diabetic autonomic neuropathy is the reason for early morbidity and mortality on diabetic patients. The pathology not only cardiac innervation but microvascular is presented.AIMS: We estimated the parameters of skin microvascular blood flow ...
T. A. Zelenina   +4 more
doaj   +1 more source

Subnomality in soluble minimax groups [PDF]

open access: yesJournal of the Australian Mathematical Society, 1974
A subgroup H of a group G is said to be subnormal in G if there is a finite chain of subgroups, each normal in its successor, connecting H to G. If such chains exist there is one of minimal length; the number of strict inclusions in this chain is called the subnormal index, or defect, of H in G.
openaire   +1 more source

Assessing The Level Of Macroeconomic Stability Of EU Countries [PDF]

open access: yesSocioEconomic Challenges, 2020
This article is devoted to the development of methods for assessing the integrated level of macroeconomic stability of the country. Systematization of literature sources and approaches to determining the factors influencing macroeconomic stability and ...
Andrii Zolkover, Jurij Renkas
doaj   +1 more source

Assessment and Integral Indexing of the Main Indicators of Oil and Gas Companies by Circular Convolution

open access: yesEnergies, 2022
In the oil and gas industry, which is the basis of the Russian energy market, a significant and urgent question arises: How to distribute companies according to their investment attractiveness? Accordingly, quantitative indicators are needed.
Irina Vygodchikova   +4 more
doaj   +1 more source

Platform study of genotyping-guided precision medicine for rare solid tumours: a study protocol for a phase II, non-randomised, 18-month, open-label, multiarm, single-centre clinical trial testing the safety and efficacy of multiple Chinese-approved targeted drugs and PD-1 inhibitors in the treatment of metastatic rare tumours

open access: yesBMJ Open, 2021
Introduction Limited clinical studies have been conducted on rare solid tumours, and there are few guidelines on the diagnosis and treatment, including experiences with targeted therapy and immunotherapy, of rare solid tumours in China, resulting in ...
Hui Wang   +22 more
doaj   +1 more source

Semiparametric estimation of shifts on compact Lie groups for image registration [PDF]

open access: yes, 2008
In this paper we focus on estimating the deformations that may exist between similar images in the presence of additive noise when a reference template is unknown. The deformations aremodeled as parameters lying in a finite dimensional compact Lie group.
Vimond, Myriam   +2 more
core   +1 more source

A Concave-penalized Logistic Regression Model for Predicting ICI Treatment Respense [PDF]

open access: yesZhengzhou Daxue xuebao. Gongxue ban
To improve the accuracy of predicting the response of melanoma patients to immune checkpoint inhibitor (ICI) therapy, a new method integrating bulk RNA-seq and single-cell RNA-seq data was proposed.
MU Xiaoxia   +3 more
doaj   +1 more source

Favoring the hierarchical constraint in penalized survival models for randomized trials in precision medicine

open access: yesBMC Bioinformatics, 2023
Background The research of biomarker-treatment interactions is commonly investigated in randomized clinical trials (RCT) for improving medicine precision. The hierarchical interaction constraint states that an interaction should only be in a model if its
Shaima Belhechmi   +4 more
doaj   +1 more source

Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models

open access: yesBMC Bioinformatics, 2020
Background The standard lasso penalty and its extensions are commonly used to develop a regularized regression model while selecting candidate predictor variables on a time-to-event outcome in high-dimensional data. However, these selection methods focus
Shaima Belhechmi   +3 more
doaj   +1 more source

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