Results 131 to 140 of about 212,227 (315)

Moderators and mediators of pain and function outcomes in a new service delivery model for management of knee osteoarthritis in primary care (PARTNER): Secondary exploratory analysis of a randomized controlled trial

Arthritis Care &Research, Accepted Article.
Objective Explore moderators and mediators influenced changes in pain and function in people with knee osteoarthritis (OA) receiving a new model of primary care service delivery (PARTNER), at 12 months (ACTRN12617001595303). Methods Secondary analyses of a cluster randomized controlled trial comparing PARTNER to usual general practitioner‐delivered ...
Abdolhay Farivar, Jocelyn L Bowden, Kim L Bennell, Andrew M Briggs, Stephen J Bunker, Rana S Hinman, Thorlene Egerton, Simon D French, Marie Pirotta, Karen Schuck, Venkatesha Venkatesha, Nicholas A Zwar, David J Hunter   +12 more
wiley   +1 more source

Generalized Rainbow Differential Privacy

The Journal of Privacy and Confidentiality
We study a new framework for designing differentially private (DP) mechanisms via randomized graph colorings, called rainbow differential privacy. In this framework, datasets are nodes in a graph, and two neighboring datasets are connected by an edge ...
Yuzhou Gu, Ziqi Zhou, Onur Günlü, Rafael G. L. D'Oliveira, Parastoo Sadeghi, Muriel Médard, Rafael F. Schaefer   +6 more
doaj   +1 more source

Formalization of Differential Privacy in Isabelle/HOL [PDF]

arXiv
Differential privacy is a statistical definition of privacy that has attracted the interest of both academia and industry. Its formulations are easy to understand, but the differential privacy of databases is complicated to determine. One of the reasons for this is that small changes in database programs can break their differential privacy. Therefore,
arxiv  

Effects of Dalcroze Eurhythmics Exercise Versus Multicomponent Exercise on Physical and Cognitive Function, and Falls in Older Adults: The EPHYCOS Randomized Controlled Trial

Advanced Biology, EarlyView.
In this randomized clinical trial conducted among 142 community‐dwelling older adults at high risk for falls over 12 months, a Dalcroze Eurhythmics exercise intervention (once weekly, group‐based) improved a variety of physical and cognitive/executive function outcomes compared with a multicomponent exercise intervention (twice weekly, group‐ and home ...
Mélany Hars, Natalia Fernandez, François Herrmann, René Rizzoli, Serge Ferrari, Christophe Graf, Patrik Vuilleumier, Andrea Trombetti   +7 more
wiley   +1 more source

Private Linear Regression with Differential Privacy and PAC Privacy [PDF]

arXiv
Linear regression is a fundamental tool for statistical analysis, which has motivated the development of linear regression methods that satisfy provable privacy guarantees so that the learned model reveals little about any one data point used to construct it.
arxiv  

Probabilistic relational reasoning for differential privacy [PDF]

, 2012
Gilles Barthe, Boris Köpf, Federico Olmedo, Santiago Zanella-Béguelin   +3 more
openalex   +1 more source

Dimensionless Investigations on Energy Conversion and Analysis of Interlayer Time in Laser‐Based Powder Bed Fusion of Polymers for Polyamide 12 with Nanoadditives and Polypropylene

Advanced Engineering Materials, EarlyView.
This study explores the energy conversion in powder bed fusion of polymers using laser beam for polyamide 12 and polypropylene powders. It combines material and process data, using dimensionless parameters and numerical models, to enable the prediction of suitable printing parameters.
Christian Schlör, Moritz Grünewald, Kevin Popp, Ihsan Murat Kusoglu, Stephan Barcikowski, Stan Gann, Thomas Schuffenhauer, Martin Bastian, Claas Bierwisch, Johannes Rudloff   +9 more
wiley   +1 more source

Models Matter: Setting Accurate Privacy Expectations for Local and Central Differential Privacy [PDF]

arXiv
Differential privacy is a popular privacy-enhancing technology that has been deployed both in industry and government agencies. Unfortunately, existing explanations of differential privacy fail to set accurate privacy expectations for data subjects, which depend on the choice of deployment model.
arxiv  

Enhanced Mechanical Properties of Injectable Chitosan–Guar Gum Hydrogel Reinforced with Bacterial Cellulose Nanofibers for Tissue Engineering Applications

Advanced Engineering Materials, EarlyView.
This study presents the development and characterization of injectable nanocomposite hydrogels based on N‐succinyl chitosan, oxidized guar gum, and bacterial cellulose nanofibers. Emphasizing enhanced mechanical properties and biocompatibility, the hydrogels exhibit fast gelation, improved structural integrity, and reduced swelling. Their potential for
Raimundo Nonato Fernandes Moreira Filho, Pascale Chevallier, Silvia Rodriguez Fernandez, Maud Viallon, Matheus Xavier de Oliveira, Ana Lorena de Brito Soares, Diego Mantovani, Judith Pessoa de Andrade Feitosa, Rodrigo Silveira Vieira   +8 more
wiley   +1 more source

Adaptive Differential Privacy Cox-MLP Model Based on Federated Learning

Mathematics
In the data-driven healthcare sector, balancing privacy protection and model performance is critical. This paper enhances accuracy and reliability in survival analysis by integrating differential privacy, deep learning, and the Cox proportional hazards ...
Jie Niu, Runqi He, Qiyao Zhou, Wenjing Li, Ruxian Jiang, Huimin Li, Dan Chen   +6 more
doaj   +1 more source