Results 31 to 40 of about 3,870,087 (383)
Structural Interventions in Networks [PDF]
Two types of interventions are commonly implemented in networks: characteristic intervention, which influences individuals' intrinsic incentives, and structural intervention, which targets the social links among individuals. In this paper we provide a general framework to evaluate the distinct equilibrium effects of both types of interventions.
arxiv
Evaluation of the depth of infiltration of urothelial carcinoma in the vesical wall obtained by transurethral intravesical echotomography [PDF]
Background/Aim. Transitional cell carcinoma (TCC) is the most frequent tumor of the bladder and represents 95−98% of blader neoplasams and 2−3% of all carcinomas in the body. In urogenital oncology more frequent is only prostatic cancer.
Milošević Radovan+5 more
doaj +1 more source
Efficacy of curcumin in the management of oral submucous fibrosis - An intervention study
Background and Objective: Oral submucous fibrosis (OSMF), a chronic, inflammatory, and potentially malignant disorder of the oral cavity, has been linked to the chewing of arecanuts.
K Namratha+4 more
doaj +1 more source
Deep Learning-Based Reconstruction of Interventional Tools from Four X-Ray Projections for Tomographic Interventional Guidance [PDF]
Image guidance for minimally invasive interventions is usually performed by acquiring fluoroscopic images using a C-arm system. However, the projective data provide only limited information about the spatial structure and position of interventional tools such as stents, guide wires or coils.
arxiv +1 more source
Interventional Effects for Mediation Analysis with Multiple Mediators.
The mediation formula for the identification of natural (in)direct effects has facilitated mediation analyses that better respect the nature of the data, with greater consideration of the need for confounding control.
S. Vansteelandt, R. Daniel
semanticscholar +1 more source
Study designs: Part 4 – Interventional studies
In the fourth piece of this series on research study designs, we look at interventional studies (clinical trials). These studies differ from observational studies in that the investigator decides whether or not a participant will receive the exposure (or
Rakesh Aggarwal, P. Ranganathan
semanticscholar +1 more source
Scalable Intervention Target Estimation in Linear Models [PDF]
This paper considers the problem of estimating the unknown intervention targets in a causal directed acyclic graph from observational and interventional data. The focus is on soft interventions in linear structural equation models (SEMs). Current approaches to causal structure learning either work with known intervention targets or use hypothesis ...
arxiv
How does one help a struggling trainee, in or out of their own lab?
openaire +2 more sources
Interventional oncology is a subspecialty field of interventional radiology that addresses the diagnosis and treatment of cancer and cancer-related problems by using targeted minimally invasive procedures performed with image guidance. Immuno-oncology is
MD Joseph P. Erinjeri+14 more
semanticscholar +1 more source
This guest edited journal issue follows on from the Performance Philosophy Biennial 2019 in Amsterdam. Featuring a wide range of research and contribution styles, reworked and elaborated further for this issue, contributors consider alternative ways of ‘intervening’.
Ricarda Franzen, Sophie van Balen
openaire +5 more sources