Results 101 to 110 of about 13,412 (254)

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

Academic Libraries Should Consider a Strategic Approach to Promotion and Marketing of e-Books. A Review of: Vasileiou, M. & Rowley, J. (2011). Marketing and promotion of e-books in academic libraries. Journal of Documentation, 67(4), 624-643. doi: 10.1108/00220411111145025

Evidence Based Library and Information Practice, 2011
Objectives – The main objectives of this study were the following:1) To determine the existence of a formal promotion or marketing strategic plan for e-books in academic libraries.2) To identify the marketing and promotion tools being used for e-book ...
Nazi Torabi
doaj  

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

Harnessing Social Media, Influencers, and Community Engagement to Confront HIV-Related Stigma in Peru: Longitudinal Descriptive Study of the DiME Campaign. [PDF]

J Med Internet Res
Nunez A, Wong M, Curtis M, Acosta J, Valera J, Sanchez D, Shi Y, Chun E, Kosyluk KA, Galea JT, Franke MF, Errea RA.   +11 more
europepmc   +1 more source

In Situ Contact Angle Measurement for Autonomous Spin Coating in Self‐Driving Labs

Advanced Intelligent Discovery, EarlyView.
A vision‐based add‐on transforms commercial spin coaters into autonomous modules of Self‐Driving Labs. Combining a width‐scaled U‐Net with classical geometric analysis, the system simultaneously measures contact angles and estimates substrate pose using a single camera.
Sven Fischer, Micha Hiegle, Holger Röhm
wiley   +1 more source

Disseminating brief video-based mental health interventions on Instagram: Reach, engagement, and real-world implementation. [PDF]

Internet Interv
Haim-Nachum S, Martin A, Amsalem D.
europepmc   +1 more source

From Word2Vec to Transformers: Text‐Derived Composition Embeddings for Filtering Combinatorial Electrocatalysts

Advanced Intelligent Discovery, EarlyView.
With the downstream filter held fixed, text‐derived composition representations produce distinct screening outcomes across 14 electrocatalyst libraries. Embedding model and composition encoding control the trade‐off between candidate reduction and preservation of the best measured current.
Lei Zhang, Markus Stricker
wiley   +1 more source

Pre- and Post-Evaluation of the Reach and Impact of a Nationwide Media Campaign to Promote Nutritional Services and Preventive Measures in Ethiopia: A Two-Round Mobile Survey. [PDF]

Health Sci Rep
Agide FD, Kedida BD, Yigzaw ZA, Hirpa Y, Fenta ET, Getachew H, Sharma R, Birru N, Chitekwe S, Tefera M, Ware FA, Abebaw D, Yadate T.   +12 more
europepmc   +1 more source