Results 161 to 170 of about 39,298 (298)

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Les nudges et le contrôle sémiotique du milieu et du collectif

Actes Sémiotiques, 2021
Jacques Fontanille, Julie LAIRESSE
doaj   +1 more source

Behavioural nudges to reduce low-value care for low back pain in the emergency department (NUDG-ED): a 2 × 2 factorial, pragmatic cluster randomized trial. [PDF]

CMAJ
Altinger G, Sharma S, Maher CG, Cullen L, McCaffery K, Linder JA, Buchbinder R, Harris IA, Coiera E, MBiostat QL, Devaux A, Howard K, Coggins A, Middleton PM, Gunja N, Ferguson I, Chan T, Mallows J, Darby S, Tambree K, van Wyk A, Traeger AC, NUDG-ED Study Group.   +22 more
europepmc   +1 more source

Adversarial Erasing Enhanced Multiple Instance Learning (siMILe): Discriminative Identification of Oligomeric Protein Structures in Single Molecule Localization Microscopy

Advanced Intelligent Systems, EarlyView.
Hallgrimson et al. introduce a machine learning algorithm, siMILe, that takes features of single‐molecule localization microscopy localization clusters (e.g., size and sphericity) and finds the clusters that are associated with certain cell conditions (such as differential protein expression or drug treatment).
Christian Hallgrimson, Y. Lydia Li, Claire A. Shou, Ben Cardoen, John Lim, Timothy H. Wong, Ismail M. Khater, Ivan Robert Nabi, Ghassan Hamarneh   +8 more
wiley   +1 more source

Changes in body weight, awareness, and behaviors among workers participating in an online specific health guidance program incorporating multiple nudges: a process evaluation. [PDF]

Environ Occup Health Pract
Takebayashi M, Kashiwado C, Kaneda Y, Ohhata S, Koyama T.   +4 more
europepmc   +1 more source

i‐Tac: Inverse Design of 3D‐Printed Tactile Elastomers with Tuneable Optical and Mechanical Properties

Advanced Intelligent Systems, EarlyView.
Inspired by the multi‐tissue architecture of the human fingertip dermis (A), this work introduces a mixture design using three PolyJet materials (AC/TM/GM) to expand the achievable elastomer property space (B). An inverse design pipeline (i‐Tac) is developed to map target optical/mechanical requirements to optimal material compositions (C), enabling ...
Wen Fan, Dandan Zhang
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Iterative Synthesis of Pentacene Derivatives with Continuous Boron–Oxygen Bonds

Angewandte Chemie, EarlyView.
An iterative synthetic strategy enables the controlled introduction of continuous multiple B–O bonds at the zigzag edge of acenes. A simple two‐step cycle—ipso iodination and Suzuki cross‐coupling/condensation—efficiently constructs BO‐acenes ranging from naphthalene to pentacene.
Seonghwa Jeong, Si‐In Kim, Jonghwan Lee, Hwon Kim, Jinuk Jang, Jiyeon Kim, Wonyoung Choe, Seung Kyu Min, Young S. Park   +8 more
wiley   +2 more sources

Behavioral nudges and targeted education as sustainability strategies to reduce hazardous waste generation in intensive care and perioperative settings: a prospective interventional study. [PDF]

J Anesth Analg Crit Care
Roveri G, Vacondio M, Martintoni R, Riemer K, Bock M, Rauch S.   +5 more
europepmc   +1 more source

NIRGB‐GS: Near‐Infrared Assisted Low‐Light Scene Reconstruction and Enhancement via Gaussian Splatting

Advanced Intelligent Systems, EarlyView.
This article proposes NIRGB‐GS, a multimodal 3DGS variant that enables reliable 3D reconstruction and normal‐light novel‐view synthesis for extremely low‐light scenes by fusing paired near‐infrared and noisy RGB captures. High‐SNR near‐infrared modality and modality‐specific appearance encoding together resolve the issues of unstable pose/geometry ...
Chengyun Yang, Yi Zhang, Yu Lei, Qiaofeng Li   +3 more
wiley   +1 more source