Results 161 to 170 of about 73,378 (364)
Advanced Intelligent Discovery, EarlyView.A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali +5 more
wiley +1 more source
Reconnecting Our Youth, a Scan of Policy Opportunities to Improve Economic Success for Vulnerable Youth [PDF]
, 2012 In March 2012, Grad Nation campaign released its report on the progress of the nation's public schools in improving graduation rates and movement toward achieving the goal of a 4-year cohort graduation rate of 90 percent by 2020.
Linda Harris
core
Advanced Intelligent Discovery, EarlyView.This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki +3 more
wiley +1 more source
Review of some studies on university student dropout in Colombia and Latin America
, 2013 Luceli Patiño de Peña +1 more
openalex +1 more source
Building a Grad Nation: Progress and Challenge in Ending the High School Dropout Epidemic [PDF]
, 2013 This fourth annual update on America's high school dropout crisis shows that for the first time the nation is on track to meet the goal of a 90 percent high school graduation rate by the Class of 2020 -- if the pace of improvement from 2006 to 2010 is ...
Joanna Hornig Fox +3 more
core
Advanced Intelligent Discovery, EarlyView.This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
Revealing Protein–Protein Interactions Using a Graph Theory‐Augmented Deep Learning Approach
Advanced Intelligent Discovery, EarlyView.This study presents a fast, cost‐efficient approach for classifying protein–protein interactions by integrating graph‐theory parametrization with deep learning (DL). Multiscale features extracted from graph‐encoded polarized‐light microscopy (PLM) images enable accurate prediction of binding strengths.
Bahar Dadfar +5 more
wiley +1 more source
Modelling student dropout using statistical and data mining methods [PDF]
, 2019 Petr Berka, Luboš Marek, Michal Vrabec
openalex +1 more source