Results 161 to 170 of about 862 (232)

Automated quality assurance of HDR brachytherapy: Evaluation of Dwell‐position accuracy and Dwell‐time linearity via image processing of radiochromic films

Precision Radiation Oncology, EarlyView.
This study develops a method combining radiochromic film and image processing to assess HDR brachytherapy source accuracy and linearity, achieving high precision and efficiency . Abstract Purpose To develop and validate a fully automated quality assurance method for high‐dose rate (HDR) brachytherapy, enabling the precise evaluation of source dwell ...
Qingqing Yuan, Suyan Bi, En Lou, YaJun Jia, Zhitao Dai   +4 more
wiley   +1 more source

Bio-Inspired Observability Enhancement Method for UAV Target Localization and Sensor Bias Estimation with Bearing-Only Measurement. [PDF]

Biomimetics (Basel)
Wang Q, Li Z, Peng J, Lu K.
europepmc   +1 more source

Effects of timed LED regimes on tomato plant traits, performance of two‐spotted spider mites, and predatory mites (Phytoseiulus persimilis)

Pest Management Science, Volume 81, Issue 4, Page 2300-2311, April 2025.
Light‐emitting diode (LED)‐based treatments for enhancing crop production and pest management have primarily focused on continuous treatments. This study, using Tetranychus urticae and Phytoseiulus persimilis, demonstrates that the timing of LED supplementation is crucial for designing integrated pest management strategies that improve both plant ...
Patrice Savi, Samantha Hall, Maria Hernandez, Anil Mantri, Daniel Kliebenstein, Christian Nansen   +5 more
wiley   +1 more source

Leveraging machine learning for prediction and optimization of texture properties of sustainable activated carbon derived from waste materials. [PDF]

Sci Rep
Ibrahim AF, Hussein MA.
europepmc   +1 more source

Electronic Correlation Effects in the Response of Graphene and MoS2 Monolayers to the Impact of Highly‐Charged Ions

physica status solidi (b), EarlyView.
The response of graphene and MoS2 monolayers to highly‐charged impinging ions is investigated using nonequilibrium Green functions theory. Electronic correlations are found to have a significantly stronger influence on the ultrafast ion‐induced electron dynamics in MoS2 than in graphene.
Giorgio Lovato, Michael Bonitz, Karsten Balzer, Fabio Caruso, Jan‐Philip Joost   +4 more
wiley   +1 more source

Conditional POD for predicting extreme events in turbulent flow time signals. [PDF]

Sci Rep
Martín D, Grau J, Jofre L.
europepmc   +1 more source

Ensemble Kalman filter in latent space using a variational autoencoder pair

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The use of the ensemble Kalman filter (EnKF) in strongly nonlinear or constrained atmospheric, oceanographic, or sea‐ice models can be challenging. Applying the EnKF in the latent space of a variational autoencoder (VAE) ensures that the ensemble members satisfy the balances and constraints present in the model.
Ivo Pasmans, Yumeng Chen, Tobias Sebastian Finn, Marc Bocquet, Alberto Carrassi   +4 more
wiley   +1 more source

Inverse Design Method with Enhanced Sampling for Complex Open Crystals: Application to Novel Zeolite Self-assembly. [PDF]

ACS Nano
Wang C, Pérez de Alba Ortíz A, Dijkstra M.   +2 more
europepmc   +1 more source

An Interpretable TCN– Transformer Framework for Lithium‐Ion Battery State of Health Estimation Using SHAP Analysis

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo, Zhibo Zhang, Xuzhe Ma, Lin Li, Hailing Zhou, Chaojie Li, Huadong Mo   +6 more
wiley   +1 more source

Machine Learning on Systematically Curated Data Reveals Key Determinants of Magnetic Hyperthermia Performance

Small, EarlyView.
This study presents a machine‐learning (ML) framework to predict the specific absorption rate (SAR) of superparamagnetic iron oxide nanoparticles (SPIONs) for magnetic hyperthermia. A curated dataset comprising 30 intrinsic and extrinsic features revealed strong nonlinear dependencies.
Edgar Régulo Vega‐Carrasco, Shaquib Rahman Ansari, Jiaxi Zhao, Yael del Carmen Suárez‐López, Per Larsson, Alexandra Teleki   +5 more
wiley   +1 more source