Results 101 to 110 of about 116,075 (251)

One‐Pot Synthesis of Aqueous PEDOT‐Based Conductive Inks via Sequential RAFT/Oxidative Polymerization

Angewandte Chemie, EarlyView.
We developed a fast, aqueous one‐pot synthesis for PEDOT:PSTFSI, combining sequential reversible addition–fragmentation chain‐transfer (RAFT) and oxidative polymerization. This method eliminates toxic solvents and purification steps, achieving full monomer conversion in under 3 h.
Fantine Negny, Melanie Bousquet, Benjamin Cabannes‐Boué, Pierre‐Yves Dugas, Lionel Hirsch, Thiago R. Guimaraes, Eric Cloutet   +6 more
wiley   +2 more sources

Credit counseling 2020 CPE courses [PDF]

, 2020
Due to the difficulty of attending live CPE events and a desire to prevent further transmission of the COVID-19 virus, licensed consumer credit counselors whose CPE reporting is due December 31, 2020, are not required to complete six hours in a live ...
South Carolina Department of Consumer Affairs
core   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

Machine learning surrogate for 3D phase-field modeling of ferroelectric tip-induced electrical switching

npj Computational Materials
Phase-field modeling offers a powerful tool for investigating the electrical control of the domain structure in ferroelectrics. However, its broad application is constrained by demanding computational requirements, limiting its utility in inverse design ...
Kévin Alhada–Lahbabi, Damien Deleruyelle, Brice Gautier   +2 more
doaj   +1 more source

Testing for CPE in flies.

, 2018
Eyes of 2 to 3 day old heterozygous females were photographed before (M2) and after (ΔM2) flipping out the M2 insulator upstream of the mini-w gene to test for CPE. Heterozygotes were used to avoid any confounding pairing effects, although CPE is equally
François Karch (162114), Mukesh Maharjan (5828996), Craig M. Hart (3118197), Robert K. Maeda (162097)   +3 more
core   +1 more source

Resilient Multimodal Fusion for Robust Vulnerability Exploitability Prediction Under Data Degradation

Advanced Intelligent Systems, EarlyView.
Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati, Seyedeh Leili Mirtaheri, Reza Shahbazian, Andrea Pugliese   +3 more
wiley   +1 more source

Fourier imaging for nanophotonics

Nanophotonics
Standard optical characterization and spectroscopy techniques rely on the measurement of specular reflection, transmission, or emission at normal incidence.
Cueff Sébastien, Berguiga Lotfi, Nguyen Hai Son   +2 more
doaj   +1 more source

CPE and CPAS.

, 2001
This study seeks to determine the behavioral impact of Continuing Professional Education (CPE) on both the accounting and auditing profession in Singapore.
Ho, Ming Wai., Tan, Cecilia Hui San., Sim, Cindy Poh Leng.   +2 more
core  

The impact of feature representation on the accuracy of photonic neural networks

APL Machine Learning
Photonic neural networks (PNNs) are gaining significant interest in the research community due to their potential for high parallelization, low latency, and energy efficiency. PNNs compute using light, which leads to several differences in implementation
Mauricio Gomes de Queiroz, Paul Jimenez, Raphael Cardoso, Mateus Vidaletti Costa, Mohab Abdalla, Ian O’Connor, Alberto Bosio, Fabio Pavanello   +7 more
doaj   +1 more source