Results 261 to 270 of about 5,018,421 (303)

Securing the U.S. nucleic acid synthesis industry: a case for safe-harbor information sharing. [PDF]

Front Bioeng Biotechnol
Seltzer MJ, Isenberg AR, Flegler A, Walburger DW, Downs ME, Dileo J.   +5 more
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Public attitudes toward cascade genetic screening in the United States. [PDF]

Health Aff Sch
Smith HS, Zoltick ES, Hickingbotham MR, Bonkowski ES, Pereira S, Lavelle TA, Veenstra DL, McGuire AL, Bonini KE, Jamal L.   +9 more
europepmc   +1 more source

Dynamic copay health plans, AI-enabled price transparency, and member experience. [PDF]

Health Aff Sch
Debbarma A, Dowd BE.
europepmc   +1 more source

Sharing digital health data responsibly: Balancing open science with participant privacy. [PDF]

PLOS Digit Health
Nebeker C, Samiei S, Kumar S.
europepmc   +1 more source

Wearable Devices and Data Sharing in the US.

JAMA Netw Open
Pedroso AF, Dhingra LS, Aminorroaya A, Khera R.   +3 more
europepmc   +1 more source

Risk-Sharing Networks [PDF]

SSRN Electronic Journal, 2005
This paper considers the formation of risk-sharing networks. Following empirical findings, we build a model where risk-sharing takes place between pairs of individuals. We ask what structures emerge when pairs can agree to form links, but people cannot coordinate links across a population.
Yann Bramoullé, Rachel Kranon
openaire   +1 more source

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Quantile-Based Risk Sharing

Operations Research, 2017
We address the problem of risk sharing among agents using a two-parameter class of quantile-based risk measures, the so-called range-value-at-risk (RVaR), as their preferences. The family of RVaR includes the value-at-risk (VaR) and the expected shortfall (ES), the two popular and competing regulatory risk measures, as special cases. We first establish
Paul Embrechts, Haiyan Liu, Ruodu Wang
openaire   +2 more sources