Results 91 to 100 of about 56,790 (283)
Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling
, 2019 We propose a generic confidence-based approximation that can be plugged in and simplify the auto-regressive generation process with a proved convergence. We first assume that the priors of future samples can be generated in an independently and identically distributed (i.i.d.) manner using an efficient predictor.
Yoo, YoungJoon +4 more
openaire +2 more sources
Advanced Science, EarlyView.An autologous whole‐tumor‐cell vaccine (rWTC‐MBTA) is evaluated in murine CNS lymphoma. Subcutaneous vaccination activates dendritic cells, broadens T‐cell priming, and drives lymphocyte trafficking to brain tumors, producing durable tumor control. Longitudinal bioluminescence and adoptive‐transfer assays verify CNS engagement. Combination with anti‐PD‐
Yaping Zhang +10 more
wiley +1 more source
Advanced Science, EarlyView.Mid‐infrared optoacoustic microscopy (MiROM) acquires lipid‐ and protein‐ associated vibrational contrast in intact fat tissue without dyes, preserving native tissue architecture. Through lateral and axial segmentation, MiROM tracks intrinsic intracellular changes during postnatal remodeling. A quantitative spatial analysis tool (Q‐SAT) maps white‐ and
Myeongseop Kim +7 more
wiley +1 more source
Gaussian clarification based on sign function
Dyna, 2016 This paper presents a clarification model in the fuzzy sense based on the Membership Inverse Function (MIF), in Control Theory. It is considered as an identification and requires bounded input and output signals.
José de Jesús Medel +2 more
doaj +1 more source
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data
, 2019 For recurrent neural networks trained on time series with target and exogenous variables, in addition to accurate prediction, it is also desired to provide interpretable insights into the data.
Antulov-Fantulin, Nino +2 more
core
Advanced Science, EarlyView.ABSTRACT Orthogonal translation systems (OTSs) enable site‐specific incorporation of non‐canonical amino acids (ncAAs) and are central to genetic code expansion. Current engineering strategies typically rely on hyperstable aminoacyl tRNA synthetase (aaRS) scaffolds to tolerate destabilizing mutations required for substrate diversification.
Nikolaj G. Koch +4 more
wiley +1 more source
A Nonlinear Suspension Road Roughness Recognition Method Based on NARX-PASCKF
SensorsRoad roughness significantly impacts vehicle safety and dynamic responses. For nonlinear suspension systems, the nonlinear characteristics often make it challenging for estimators to identify the actual road roughness accurately.
Jiahao Qian +5 more
doaj +1 more source
A robust deep learning model for fall action detection using healthcare wearable sensors [PDF]
PeerJ Computer ScienceThe proposed technique begins with Butterworth’s sixth-order filtering of the data followed by segmentation through Hamming window application. The identification of essential patterns is achieved through the utilization of feature extraction methods ...
Abdulwahab Alazeb +6 more
doaj +2 more sources
Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis
Advanced Science, EarlyView.This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu +4 more
wiley +1 more source
Peer Community JournalState-space models are widely used in ecology to infer hidden behaviors. This study develops an extensive numerical simulation-estimation experiment to evaluate the state decoding accuracy of four simple state-space models.
Bez, Nicolas +8 more
doaj +1 more source