Results 211 to 220 of about 6,570,426 (256)
Generative Models in Inorganic Crystals Discovery and Inverse Design
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li +5 more
wiley +1 more source
Evaluating the Cyclical Hybrid Imputation Technique (CHIT) under MCAR, MAR, and MNAR missing data mechanisms: Evidence from health datasets. [PDF]
Kotan K, Kırışoğlu S.
europepmc +1 more source
Abstract Implantable cardioverter defibrillators (ICDs) reliably prevent death due to life‐threatening arrhythmias; this may become less relevant in people with more severe heart failure who are reaching the end of life (EOL). This review aimed to explore the ICD deactivation process and identify ethical issues, especially around the initiation of ...
Siobhan C. Murray +2 more
wiley +1 more source
Europe's land take and the loss of nature and cropland to artificial surfaces. [PDF]
Venter ZS +6 more
europepmc +1 more source
ABSTRACT In the Weapon Identification Task (WIT), participants more often misclassify innocuous objects (e.g., tools) as weapons after seeing a Black compared to a White male face prime. Racially biased object discrimination (discrimination bias) and biased response tendencies (response bias) have been proposed as cognitive mechanisms underlying this ...
Ruben Laukenmann, Edgar Erdfelder
wiley +1 more source
One-Cycle Windowed-DFT Harmonic Estimation with Spectral-Interference Compensation. [PDF]
Allioua C +3 more
europepmc +1 more source
An algorithm for seizure detection in rodents
Abstract Objective Epilepsy animal research often relies on long‐term intracranial electroencephalographic (iEEG) recordings. Here, we describe an artificial neural network (ANN) algorithm for automatic detection of seizures. Methods The algorithm was trained on iEEG recordings of three mouse models of chronic epilepsy: (1) the pilocarpine model of ...
Lyna Kamintsky +9 more
wiley +1 more source
Comparison of parametric versus machine-learning multiple imputation in clinical trials with missing continuous outcomes. [PDF]
Tackney MS +3 more
europepmc +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source

