نتایج جستجو برای: pso dv

تعداد نتایج: 14029  

2014
Dong ping Tian

Particle swarm optimization (PSO) is a population-based stochastic optimization originating from artificial life and evolutionary computation. PSO is motivated by the social behavior of organisms, such as bird flocking, fish schooling and human social relations. Its properties of low constraint on the continuity of objective function and ability of adapting to the dynamic environment make PSO b...

Journal: :Contemporary nurse 2012
Leesa Hooker Bernadette Ward Glenda Verrinder

This scoping review explores the breadth of literature on domestic violence (DV) screening by nurses, within the well child setting. The review followed the introduction of universal DV screening into the Victorian maternal and child health (MCH) service, in Australia. A scoping review provides a panoramic overview of a chosen topic that may be later used to influence policy and practice. This ...

Journal: :Violence against women 2005
Allison C Morrill Jianyu Dai Samantha Dunn Iyue Sung Kevin Smith

This research evaluated the effectiveness of statutes mandating a presumption against custody to a perpetrator of domestic violence (DV) and judicial education about DV. Across six states, the authors examined 393 custody and/or visitation orders where the father perpetrated DV against the mother and surveyed 60 judges who entered those orders. With the presumption, more orders gave legal and p...

Journal: :Journal of interpersonal violence 2017
Katie M Edwards Kara Anne Rodenhizer Robert P Eckstein

We examined school personnel's engagement in bystander action in situations of teen dating violence (DV), sexual violence (SV), and sexual harassment (SH). We conducted focus groups with 22 school personnel from three high schools in New Hampshire. School personnel identified their own barriers to intervening in situations of teen DV, SV, and SH (e.g., not having the time or ability to interven...

Journal: :Physical Review A 2022

The Continuous-Variable (CV) quantum state of light allows for the teleportation a Discrete-Variable (DV) photonic qubit. Such an operation is useful in realm hybrid networks. However, it known that DV qubit via Gaussian CV resource channel severely limited under loss, with fidelity beyond classical limit unattainable losses exceeding small threshold 0.5 dB. In this work, we present new non-det...

2017
Jacob Januszewski Joshua M. Beckman Jeffrey E. Harris Alexander W. Turner Chun Po Yen Juan S. Uribe

BACKGROUND In an effort to minimize rod fractures and nonunion in pedicle subtraction osteotomy (PSO) constructs, surgeons have adopted multirod constructs and interbody cages. Anterior column realignment (ACR) with posterior column osteotomies is a minimally invasive alternative to PSO in sagittal balance correction, however, there is a paucity of evidence with respect to rod survival. METHO...

Journal: :Rheumatology 2012
Vidula M Bhole Hyon K Choi Lindsay C Burns Cristián Vera Kellet Diane V Lacaille Dafna D Gladman Jan P Dutz

OBJECTIVES To compare obesity among individuals with PsA, psoriasis (PsO), RA and the general population (n), and identify correlates of obesity among individuals with PsO and PsA. METHODS We compared the BMI of patients with PsA (n = 644), PsO (n = 448), RA (n = 350) and the general population using age- and sex-adjusted linear and logistic regression analyses. We conducted multivariate anal...

2008
Nicholas Holden Alex A. Freitas

We have previously proposed a hybrid particle swarm optimisation/ant colony optimisation (PSO/ACO) algorithm for the discovery of classification rules. Unlike a conventional PSO algorithm, this hybrid algorithm can directly cope with nominal attributes, without converting nominal values into binary numbers in a preprocessing phase. PSO/ACO2 also directly deals with both continuous and nominal a...

2014
Kun Zhang K. Zhang

Network traffic flow prediction model is fundamental to the network performance evaluation and the design of network control scheme which is crucial for the success of high-speed networks. Aiming at shortcoming of the conventional network traffic time series prediction model and the problem that BP training algorithms easily plunge into local solution, a network traffic prediction model based o...

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