Results 11 to 20 of about 9,520,612 (176)

Groups with minimax commutator subgroup [PDF]

open access: yesInternational Journal of Group Theory, 2014
A result of Dixon, Evans and Smith shows that if $G$ is a locally (soluble-by-finite) group whose proper subgroups are (finite rank)-by-abelian, then $G$ itself has this property, i.e. the commutator subgroup of~$G$ has finite rank.
Francesco de Giovanni, Trombetti
doaj   +1 more source

On the structure of some minimax-antifinitary modules

open access: yesKarpatsʹkì Matematičnì Publìkacìï, 2015
Let  $R$  be a ring and $G$ a group. An  $R$-module $A$ is said to be {\it minimax} if $A$ includes a noetherian submodule $B$ such that  $A/B$  is artinian.
V.A. Chupordia
doaj   +2 more sources

Statistical approaches for service delivery differentials as assessed through a composite indicator: Application to Ugandan local governments. [PDF]

open access: yesPLoS ONE
This study assesses differentials in service delivery among Ugandan local governments through a composite indicator that consolidates essential performance data from the education, health, and water sectors.
Hillary Muhanguzi   +3 more
doaj   +2 more sources

Groups with the real chain condition on non-pronormal subgroups [PDF]

open access: yesInternational Journal of Group Theory, 2023
It is shown that a generalised radical group has no chain of non-pronormal subgroups with the same order type as the set $\mathbb{R}$ of the real numbers if and only if either the group is minimax or all subgroups are pronormal.
Ulderico Dardano, Fausto De Mari
doaj   +1 more source

On groups with many normal subgroups [PDF]

open access: yesInternational Journal of Group Theory, 2023
The structure of groups which are rich in normal subgroups has been investigated by several authors. Here, we prove that if a radical group G has normal deviation, which means that the set of its non-normal subgroups satisfies a very weak chain condition,
Alessio Russo, Mario Viscusi
doaj   +1 more source

Groups whose Proper Subgroups of Infinite Rank are Minimax-by-Nilpotent or Nilpotent-by-Minimax [PDF]

open access: yesAdvances in Group Theory and Applications, 2020
Let M denote the class of of soluble-by-finite minimax groups, and N the class of nilpotent groups. The main result states that if G is a group of infinite rank whose proper subgroups of infinite rank are MN-groups, then G is either in MN or it is a ...
Amel Zitouni
doaj   +1 more source

Robust optimization of catheter positions and dwell times for HDR prostate brachytherapy. [PDF]

open access: yesMed Phys
Abstract Background HDR prostate brachytherapy plans are sensitive to catheter placement uncertainty, as discrepancies between planned and delivered catheter positions can degrade target coverage and increase organ at risk dose. Current inverse planning methods optimize dwell times for a fixed implant geometry and do not account for geometric ...
Schulz JB   +3 more
europepmc   +2 more sources

On some commutative invariants of modules over minimax nilpotent groups

open access: yesДоповiдi Нацiональної академiї наук України, 2022
In the paper we introduce a finite system of invariants for modules over minimax nilpotent groups which consists of classes of equivalent prime ideals of the group algebra of an Abelian minimax group. In particuly, introduced system of invariants allows
A.V. Tushev
doaj   +1 more source

On invariant ideals in group rings of torsion-free minimax nilpotent groups

open access: yesResearches in Mathematics, 2023
Let $k$ be a field and let $N$ be a nilpotent minimax torsion-free group acted by a solvable group of operators $G$ of finite rank. In the presented paper we study properties of some types of $G$-invariant ideals of the group ring $kN$.
A.V. Tushev
doaj   +1 more source

Generative Adversarial Networks for Omics Data: An Overview and Future Directions for Livestock Applications. [PDF]

open access: yesAnim Genet
ABSTRACT Generative adversarial networks (GANs) are artificial intelligence models designed to generate novel data that is indistinguishable from real data. Originally developed to generate images to complement existing datasets and create more diverse samples, GAN‐based data can enhance downstream analysis for machine learning and deep learning ...
Vargas EC, Bresolin T.
europepmc   +2 more sources

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