Results 161 to 170 of about 512,844 (338)

Adherence to ecological momentary assessment studies in children and adolescents with psychopathology: A systematic review with meta-analysis. [PDF]

NPP Digit Psychiatry Neurosci
Henry LM, Pandya U, Malone E, Miller C, Agyemang S, Tandilashvili E, Lewis K, Haeffner CE, Lee K, Livinski AA, Kiderman M, Naim R, Metcalf O, Lopez-Guzman S, Brotman MA.   +14 more
europepmc   +1 more source

Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry

Advanced Intelligent Discovery, EarlyView.
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa, Erving Ximendes, Luís D. Carlos, Carlos D. S. Brites   +3 more
wiley   +1 more source

Socioeconomic inequality in second-dose measles vaccination dropout among children aged 15-35 months in East Africa: A decomposition analysis of a recent Demographic Health Survey. [PDF]

Hum Vaccin Immunother
Molla Lakew A, Limenih MA, Belew AK, Muhammad EA, Beshaw MA, Angaw DA.   +5 more
europepmc   +1 more source

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

Advanced Intelligent Discovery, EarlyView.
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha, Jesus Gil, Pedro J. Ballester   +2 more
wiley   +1 more source

Defining and reporting treatment dropout in blended therapy for mental health: scoping review and analysis. [PDF]

NPJ Digit Med
Eicher SC, Fenski F, Behr S, Hammelrath L, Boettcher J, Schaeuffele C, Knaevelsrud C.   +6 more
europepmc   +1 more source

An Analysis of Dropout for Matrix Factorization [PDF]

, 2017
Jacopo Cavazza, Connor Lane, Benjamin D. Haeffele, Vittorio Murino, Renè Vidal   +4 more
openalex   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Detect and Repair: Robust Self-Supervised Wearable Sensing Under Missing Modalities. [PDF]

Sensors (Basel)
Cisse AH, Ishimaru S.
europepmc   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source

Factors associated with university dropout intention among health sciences students: the mediating role of academic burnout and satisfaction with education. [PDF]

BMC Med Educ
Candelo-Meneses LM, Castro-Velasco MA, Periañez CAH, Castillo-Díaz MA.   +3 more
europepmc   +1 more source