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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

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed +15 more
wiley +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

A Multistrategy AI‐Assisted Consensus Screening Pipeline for Discovery of Candidate p53 Monomer Binders

Advanced Intelligent Discovery, EarlyView.
An ultra‐fast small‐sample AI consensus pipeline combines co‐folding and docking to target structure‐lacking p53 monomers. Its optimal mini‐protein binder shows robust interfacial affinity and promising druggability, supplying unprecedented antitumor p53 templates.
Ningyao Li +9 more
wiley +1 more source

Feedback seeking behaviour in higher education: the association with students’ goal orientation and deep learning approach [PDF]

Assessment and Evaluation in Higher Education, 2019
To make sure that feedback fulfils its aspirations, students’ active role in feedback should be acknowledged in higher education: It is students’ uptake of feedback that determines its effectiveness.
Marieke van der Schaaf, Martijn J M Leenknecht +1 more
exaly +4 more sources

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Employee’s intention to share knowledge: the impacts of learning organization culture and learning goal orientation

International Journal of Manpower, 2023
Jong Gyu Park
exaly

Antecedents of psychological empowerment: the effects of developmental experience, learning goal orientation and authenticity

Asia Pacific Journal of Human Resources, 2021
Makoto Matsuo
exaly

Performance or learning goal orientation: Implications for business performance

Journal of Business Research, 2014
Felix Mavondo
exaly

Aiming for career success: The role of learning goal orientation in mentoring relationships

Journal of Vocational Behavior, 2003
John Joseph Sosik, Veronica Godshalk
exaly