Results 141 to 150 of about 545,363 (263)
Mechanism‐Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy
MISPOP integrates ensemble learning with membrane‐active physicochemical priors to identify Dermaseptin‐S9, a natural oncolytic peptide that disrupts tumor membranes, triggers immunogenic cell death, and shows strong antitumor activity. The study illustrates a mechanism‐informed route from peptide sequence data to cancer immunotherapy leads.
Wen Zhang +11 more
wiley +1 more source
Retraction Note: Enhancing blockchain transaction classification with ensemble learning approaches. [PDF]
Panigrahi A +7 more
europepmc +1 more source
Superlattice Architectures for Advancing Photothermal Catalysis: Mechanisms and Applications
This paper provides a timely overview of superlattice architectures in photothermal catalysis, with a systematic review on mechanisms at both atomic and macroscopic scales in different processes, challenges, and future opportunities. ABSTRACT Photothermal catalysis has emerged as a powerful strategy to complement photocatalysis by harnessing full ...
Yuzhao Wu +5 more
wiley +1 more source
Few-Shot Ensemble Learning for Catalysis and Application to Trimetallics for Oxygen Reduction. [PDF]
Hill AF, Ruiz-Escudero A, Montemore MM.
europepmc +1 more source
Capacitive Pixelated CMOS Electronic Nose
A 1024‐pixel CMOS capacitive E‐nose with inkjet‐printed MOFs and polymer layers yields gas‐specific capacitance fingerprints under humid conditions, discriminating toluene from 2‐butanone at low power. ABSTRACT Although some of the human senses can nowadays be replaced by low‐cost electronic sensors such as microphones and image sensors, a compact low ...
M. A. Basyooni‐M. Kabatas +7 more
wiley +1 more source
Ensemble Learning Based on Bagging and Hybrid Sampling for Food Safety Risk Prediction. [PDF]
Li D, Zhang Z, Wu Q, Chen X.
europepmc +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
Ensemble learning on serum metabolic fingerprints for early detection of lung adenocarcinoma. [PDF]
Cai C +5 more
europepmc +1 more source
P2‐type sodium layered oxides have potential for high‐voltage operation but suffer from structural instability and capacity fading. This work demonstrates that synergistic Li and Ti co‐doping enhances sodium inventory, suppresses detrimental phase transitions, and activates reversible lattice oxygen redox.
Rishika Jakhar +16 more
wiley +1 more source

