Results 61 to 70 of about 26,173,429 (328)

Neutrino seesaw models at one-loop matching: discrimination by effective operators

open access: yesJournal of High Energy Physics, 2022
Using the functional method, one-loop matching of the type-I, -II and -III see-saw models are investigated and the results are presented in both the Green’s and the Warsaw bases. Although these models generate the same dimension-5 Weinberg operator, they
Yong Du, Xu-Xiang Li, Jiang-Hao Yu
doaj   +1 more source

On the Instability of Matching Queues

open access: yes, 2017
A matching queue is described via a graph $G$ together with a matching policy. Specifically, to each node in the graph there is a corresponding arrival process of items which can either be queued, or matched with queued items in neighboring nodes.
Moyal, Pascal, Perry, Ohad
core   +3 more sources

Pediatric Oncology Nursing Competencies in Latin America and the Caribbean: A Scoping Review to Inform Practice, Education, and Research

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Nurses are central to cancer care for children and adolescents, yet no comprehensive synthesis has defined essential core competencies for pediatric oncology nursing (PON) practice internationally, particularly in Latin America and the Caribbean (LAC).
Luís Carlos Lopes‐Júnior   +7 more
wiley   +1 more source

Microeconometric Search-Matching Models and Matched Employer-Employee Data [PDF]

open access: yes, 2013
The recent advent of matched employer-employee data as part of the labor market scholar’s toolbox has allowed a great deal of progress in our understanding of individual labor earnings. A growing number of empirical analyzes of available matched employer-employee data sets now combine with the already voluminous literature on empirical wage equations ...
Postel-Vinay, Fabien, Robin, Jean-Marc
openaire   +5 more sources

Approximate optimality with bounded regret in dynamic matching models [PDF]

open access: yesPERV, 2014
We consider a dynamic matching model with random arrivals – a stochastic version of the bipartite matching model. As in the static setting, it is based on a bipartite graph — a simple example is shown in Fig. 1.
Ana Bušić, Sean P. Meyn
semanticscholar   +1 more source

Pulmonary Dysfunction Is Associated With Sleep Study Abnormalities in Children With Sickle Cell Disease: A Multicenter Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Pulmonary dysfunction and sleep abnormalities are common in children with sickle cell disease (SCD) and are associated with worse clinical outcomes. Whether spirometry abnormalities are associated with polysomnography (PSG) findings remains unclear.
Ammar Saadoon Alishlash   +4 more
wiley   +1 more source

A novel approach for partial shape matching and similarity based on data envelopment analysis [PDF]

open access: yesКомпьютерная оптика, 2019
Due to the growing number of 3D objects in digital libraries, the task of searching and browsing models in an extensive 3D database has been the focus of considerable research in the area.
Khadija Arhid   +5 more
doaj   +1 more source

Evaluating search and matching models using experimental data [PDF]

open access: yes, 2005
This paper introduces an innovative test of search and matching models using the exogenous variation available in experimental data. We take an off-the-shelf Pissarides matching model and calibrate it to data on the control group from a randomized social
Lise, JS, Seitz, S, Smith, J
core  

Defining Roles in Pediatric Palliative Care: Perspectives From Oncology and Palliative Care Teams

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Early integration of pediatric palliative care (PPC) is associated with improved symptom management, quality of life, and healthcare utilization for children with cancer. Despite this, variation persists in how PPC is understood, operationalized, and integrated within pediatric oncology programs. In particular, ambiguity surrounding
Leeat Granek   +13 more
wiley   +1 more source

Adversarial Attentive Multi-Modal Embedding Learning for Image-Text Matching

open access: yesIEEE Access, 2020
Matching the image and text with deep models has been extensively studied in recent years. Mining the correlation between image and text to learn effective multi-modal features is crucial for image-text matching.
Kaimin Wei, Zhibo Zhou
doaj   +1 more source

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