Results 71 to 80 of about 138,439 (148)

Iterative hybrid model based optimization of rAAV production

Biotechnology Progress, EarlyView.
Abstract Changes in serotype or genetic payload of recombinant adeno associated virus (rAAVs) gene therapies require adapting the transfection conditions of the upstream HEK293 cultivations. This study adopts an iterative model‐based experiment design approach, where increasing data availability is leveraged to evolve models of different complexity ...
Claudio Müller, Gerald Siegwart, Susanne Heider, Michael Sokolov, Angela Botros, Alexandra Umprecht, Moritz von Stosch, Mariano Nicolas Cruz Bournazou   +7 more
wiley   +1 more source

Consumer Adoption of Internet of Things

Journal of Consumer Behaviour, Volume 24, Issue 2, Page 673-693, March 2025.
ABSTRACT The Internet of Things (IoT), a pivotal technology in enhancing user connectivity, faces a paradox: its widespread potential yet limited consumer adoption. This study addresses this dichotomy by synthesizing a large‐scale meta‐analytic structural equation modeling (MASEM) and hierarchical linear meta‐analysis (HiLMA) of 2736 effect sizes from ...
Wagner Junior Ladeira, Weng Marc Lim, Fernando de Oliveira Santini, Tareq Rasul, Bernardo Frantz, Jean Carlos de Oliveira Rosa, Mohd Azhar   +6 more
wiley   +1 more source

Etymologia: Bayesian Probability [PDF]

Emerg Infect Dis, 2017
europepmc   +1 more source

Protocol for an Integrative Meta‐Analysis of the Application of Machine Learning Algorithms in the Prediction of Chronic Disease Risks and Outcomes

Chronic Diseases and Translational Medicine, EarlyView.
ABSTRACT Background Precise risk prediction of chronic diseases is essential for effective preventive care and management. Machine learning (ML) is a promising avenue to enhance chronic disease risk prediction; however, a comprehensive assessment of ML performance across various chronic diseases, populations, and health settings is needed. Methods This
Ebenezer Afrifa‐Yamoah, Emmanuel Peprah‐Yamoah, Enoch Odame Anto, Victor Opoku‐Yamoah, Eric Adua   +4 more
wiley   +1 more source

Bayesian probability of success for clinical trials using historical data. [PDF]

Stat Med, 2015
Ibrahim JG, Chen MH, Lakshminarayanan M, Liu GF, Heyse JF.   +4 more
europepmc   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

Machine‐Learning‐Assisted Design and Optimization of Single‐Atom Transition Metal‐Incorporated Carbon Quantum Dot Catalysts for Electrocatalytic Hydrogen Evolution Reaction

Carbon Energy, EarlyView.
A novel strategy of rational design of transition metal‐based electrocatalyst by combining machine‐learning‐based catalyst optimization steps with experimental verification steps demonstrates that optimized single‐atom nickel incorporated carbon quantum dots presents outstanding electrocatalytic hydrogen production efficiency due to its higher carrier ...
Unbeom Baeck, Min‐Cheol Kim, Duong Nguyen Nguyen, Jaekyum Kim, Jaehyoung Lim, Yujin Chae, Namsoo Shin, Heechae Choi, Joon Young Kim, Chan‐Hwa Chung, Woo‐Seok Choe, Ho Seok Park, Uk Sim, Jung Kyu Kim   +13 more
wiley   +1 more source

Understanding Bayesian analysis of clinical trials: an overview for clinicians. [PDF]

Crit Care Sci
Taylor C, Puxty K, Quasim T, Shaw M.
europepmc   +1 more source

Weighing risks against GHG reduction benefits in emerging green technologies

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Green technologies represent promising strategies for mitigating carbon emissions and combating global warming. However, their implementation in civil and industrial applications is not without risks, as intrinsic uncertainties and latent safety concerns can threaten their effective deployment.
Federica Tamburini, Valerio Cozzani, Nicola Paltrinieri, Thomas Alan Adams II   +3 more
wiley   +1 more source

A comparison of frequentist and Bayesian approaches to the Personalised Randomised Controlled Trial (PRACTical)-design and analysis considerations. [PDF]

BMC Med Res Methodol
Jackson H, Shou Y, Azad NABM, Chua JW, Perez RL, Wang X, de Kraker MEA, Mo Y.   +7 more
europepmc   +1 more source