Results 101 to 110 of about 47,392 (266)

Formative feedback to improve pharmacology learning: Proposed principles and guidelines for effective practice

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Abstract Aims To learn effectively, students need timely, specific, actionable feedback—known as formative feedback—on what and how well they are learning and on how to improve further. Providing effective feedback to help students learn pharmacology is a complex task.
Thomas Anthony Angelo
wiley   +1 more source

Harnessing ferroptosis from multilayer defense networks to nanoplatforms for specific cancer therapy

open access: yesBMEMat, EarlyView.
Nanomaterials target metabolically‐regulated ferroptosis for cancer therapy. Iron‐based or alternative nanoplatforms integrate ferroptosis with chemotherapy, immunotherapy, or radiotherapy. They enable stimulus‐responsive therapies (photothermal, photodynamic, sonodynamic) activated by near‐infrared, light, or ultrasound, achieving potent synergistic ...
Xinyue Xu   +5 more
wiley   +1 more source

Do Banks in the Middle East and North Africa Region Price Carbon Exposure?

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study examines whether carbon exposure is incorporated into corporate borrowing costs within the Middle East and North Africa (MENA) region. Using a panel of 771 firm‐year observations from publicly listed non‐financial firms between 2016 and 2023, the analysis investigates the relationship between carbon intensity and firms' cost of debt
Yara Ibrahim   +2 more
wiley   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

open access: yesCarbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su   +4 more
wiley   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin   +2 more
wiley   +1 more source

The Feedforward Torch

open access: yes, 2012
An important challenge in deploying pervasive computing environments is the di culty users have in understanding their behaviour. It has been suggested that these environ- ments should be made intelligible by informing users about their understanding of the world.
Vermeulen, Jo   +2 more
openaire   +1 more source

DinoFlow: Self‐supervised pretraining in flow cytometry enables accurate detection of common hematopathological disorders

open access: yesCytometry Part B: Clinical Cytometry, EarlyView.
Abstract Flow cytometry is an essential component of routine hematological lab testing. Many computational methods have been proposed for the analysis of flow cytometry data, but most have focused on supervised learning for just one or a few specific disorders.
Brendan O'Fallon   +4 more
wiley   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

open access: yesDeep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li   +4 more
wiley   +1 more source

Comparison of volume‐ and surface‐based magnetic resonance imaging morphometry algorithms in the detection of focal cortical dysplasia

open access: yesEpilepsia, EarlyView.
Abstract Objective Detection of focal cortical dysplasia (FCD) remains a major challenge in presurgical epilepsy diagnostics. Magnetic resonance imaging (MRI) morphometry increasingly improves lesion detection and postsurgical outcomes. The volume‐based Morphometric Analysis Program, version 2018 (MAP18) with integrated artificial neural network and ...
Lara Bücheler   +17 more
wiley   +1 more source

Hippocampal network activity changes during early epileptogenesis predict subsequent epilepsy

open access: yesEpilepsia, EarlyView.
Abstract Objective Despite decades of research, the circuit mechanisms that underlie focal epileptogenesis remain incompletely understood. In this study, we aimed to characterize the changes in hippocampal network activity induced by an epileptogenic insult.
Michael Strüber   +13 more
wiley   +1 more source

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