Results 151 to 160 of about 43,961 (294)

Advancing design strategies in smart stimulus‐responsive liposomes for drug release and nanomedicine

BMEMat, EarlyView.
Schematic illustration of stimulus‐responsive liposomes designed for controlled drug release and nanomedicine. The innermost circle represents different liposomal structures, including unilamellar, multilamellar, and multivesicular liposomes. The middle layer illustrates the responsive phospholipid components.
Yuchen Guo, Nan Li, Daiwei Zhang, Jingya Gu, Zhihuan Liao, Zihao Teng, Xiangfu Du, Peter S. Timashev, Shipeng Chen, Shuaidong Huo   +9 more
wiley   +1 more source

Markov Chain Wave Generative Adversarial Network for Bee Bioacoustic Signal Synthesis. [PDF]

Sensors (Basel)
Samarappuli K, Ardekani I, Mohaghegh M, Sarrafzadeh A.   +3 more
europepmc   +1 more source

A Conditional Wasserstein Generative Adversarial Network for Pixel-level Crack Detection using Video Extracted Images. [PDF]

, 2019
Qipei Mei, Mustafa Gül
openalex  

An Urban Metro Section Flow Forecasting Method Combining Time Series Decomposition and a Generative Adversarial Network [PDF]

Maosheng Li, Chen Zhang
openalex   +1 more source

Environmental Regulation at the Crossroads: A Review of Catalysts and Barriers in Circular Economy Transitions

Business Strategy and the Environment, EarlyView.
ABSTRACT Amid growing resource pressures, environmental regulation plays a critical role in enabling the transition to a circular economy (CE). This study conducts a systematic literature review to synthesize how different regulatory approaches—command‐and‐control, market‐based, voluntary, and reflexive—affect CE transitions across economic and ...
Li Yuan
wiley   +1 more source

MGANSL: multi-network representation generating with generative adversarial network for synthetic lethality prediction. [PDF]

BMC Bioinformatics
Li J, Lu X, Li Z, Liu X, Liu H, Ruan J.
europepmc   +1 more source

Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches

Chemistry – A European Journal, EarlyView.
ABSTRACT Machine learning (ML) models are increasingly used in quantum chemistry, but their reliability hinges on uncertainty quantification (UQ). In this study, we compare two prominent UQ paradigms—deep evidential regression (DER) and deep ensembles—on the QM9 and WS22 datasets, with a specific emphasis on the role of post hoc calibration.
Bidhan Chandra Garain, Max Pinheiro Jr., Matheus de Oliveira Bispo, Mario Barbatti   +3 more
wiley   +1 more source

Novel molecule design with POWGAN, a policy-optimized Wasserstein generative adversarial network. [PDF]

J Cheminform
Macedo B, Vaz IR, Gomes TT.
europepmc   +1 more source

Generating Input Data for Microstructure Modelling: A Deep Learning Approach Using Generative Adversarial Networks

, 2020
Felix Pütz, Manuel Henrich, Niklas Fehlemann, Andreas Roth, Sebastian Münstermann   +4 more
openalex   +2 more sources

Practice Insight: Adapting Peacebuilding Dialogue Methodologies to City‐Resident Relations and Inclusive Policymaking in Calgary, Canada

Conflict Resolution Quarterly, EarlyView.
ABSTRACT This case study presents a project in which peacebuilding dialogue methodologies were adapted for use in municipal‐level dialogue sessions that took place in Calgary, Canada in late 2022 and early 2023. The authors found that using this approach built trust among cross‐sectoral participants and facilitators, resulted in greater diversity ...
Aleem Bharwani, Josh Nadeau
wiley   +1 more source