Results 61 to 70 of about 6,110,460 (312)
Image interpolation is often implemented using one of two methods: optical flow or convolutional neural networks. These methods are typically pixel-based; they do not work well on objects between images far apart.
Paulino Cristovao +3 more
doaj +1 more source
Several types of research showed math anxiety as the learning outcome, but another showed that as the predictor variable. Math anxiety was predicted based on other variables, such as self-regulated learning and self-concept.
Dian Cahyawati +2 more
doaj +1 more source
We investigated the toxicity of 12 active compounds commonly found in herbal weight loss supplements (WLS) using human liver and colon cell models. Epigallocatechin‐3‐gallate was the only compound showing significant toxicity. Metabolic profiling revealed protein degradation, disrupted energy and lipid metabolism suggesting that the inclusion of EGCG ...
Emily C. Davies +3 more
wiley +1 more source
Modeling of Wastewater Treatment Processes Using Dynamic Bayesian Networks Based on Fuzzy PLS
The complicated characteristics of wastewater treatment plants (WWTPs) significantly hinder the monitoring of industrial processes, and thus much attention has been paid to process modeling and prediction.
Hongbin Liu +4 more
doaj +1 more source
Latent variable GIMME using model implied instrumental variables (MIIVs).
Researchers across many domains of psychology increasingly wish to arrive at personalized and generalizable dynamic models of individuals' processes. This is seen in psychophysiological, behavioral, and emotional research paradigms, across a range of ...
K. Gates, Z. Fisher, K. Bollen
semanticscholar +1 more source
Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley +1 more source
Deep Recurrent Generative Decoder for Abstractive Text Summarization
We propose a new framework for abstractive text summarization based on a sequence-to-sequence oriented encoder-decoder model equipped with a deep recurrent generative decoder (DRGN).
Bing, Lidong +3 more
core +1 more source
HIV‐1 establishes immediate latency in T cells expressing the viral Nef protein
Nef is a viral protein often omitted from HIV‐1 reporter viruses. Consequently, its role in viral latency is unclear. We developed three novel dual reporter HIV‐1 derivatives that express Nef and allow for detection of latent and productive infection. Using these reporters, we show that Nef does not affect the establishment of immediate viral latency ...
Cindy Lam, Ivan Sadowski
wiley +1 more source
Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions
The key idea of variational auto-encoders (VAEs) resembles that of traditional auto-encoder models in which spatial information is supposed to be explicitly encoded in the latent space.
Ji, Shuiwang, Wang, Zhengyang, Yuan, Hao
core +1 more source
Higher Amyloid and Tau Burden Is Associated With Faster Decline on a Digital Cognitive Test
ABSTRACT Objective A 2‐min digital clock‐drawing test (DCTclock) captures more granular features of the clock‐drawing process than the pencil‐and‐paper clock‐drawing test, revealing more subtle deficits at the preclinical stage of Alzheimer's disease (AD). A previous cross‐sectional study demonstrated that worse DCTclock performance was associated with
Jessie Fanglu Fu +16 more
wiley +1 more source

