Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Using machine learning to predict student mathematics performance in six East Asian countries: evidence from PISA 2022. [PDF]
Djekourmane D +4 more
europepmc +1 more source
A Perspective on Interactive Theorem Provers in Physics
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley +1 more source
Effectiveness of Demonstration Observation Assistance Performance (DOAP) and Video Assisted Learning (VAL) in teaching blood pressure measurement among MBBS students. [PDF]
Potsangbam R, Paunikar V.
europepmc +1 more source
This study presents a human Bone (and Bone Marrow)‐on‐a‐Chip model based on native human bone scaffolds and autologous cells. Dynamic perfusion and sequential cell seeding replicate the physiological bone remodeling process in vitro, enabling the long‐term culture of functional, mature bone marrow immune subpopulations.
Nina Stelzer +17 more
wiley +1 more source
Classification of Different Fermentation Stages of Black Tea Using a Lightweight CNN Optimized by Knowledge Distillation. [PDF]
Liu X +5 more
europepmc +1 more source
Prior Expectations Bias Confidence Judgments Through Parietal Alpha‐Band Modulation
ABSTRACT Humans possess the metacognitive ability to estimate the likely accuracy of their own decisions through confidence judgments. Yet, whether prior information shapes confidence and the neural mechanisms mediating such influence, remain to be determined.
Luca Tarasi +4 more
wiley +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Morphology-aware distillation for lightweight retinal vessel segmentation across fundus photography and OCT angiography. [PDF]
Shu H +10 more
europepmc +1 more source
NeuroSuite provides a modular hardware‐software platform integrating Neuroweb and NeuroMaps to enable long‐term, in situ electrophysiological interrogation of air–liquid interface organoid slices while preserving tissue architecture. Its components can be used together or independently to capture real‐time activity, spatial network dynamics, and ...
Belquis Haider +14 more
wiley +1 more source

