Results 61 to 70 of about 6,110,460 (312)

Generating In-Between Images Through Learned Latent Space Representation Using Variational Autoencoders

open access: yesIEEE Access, 2020
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

The impact of undergraduate students’ mathematics anxiety and self-concept on their self-regulated learning and academic achievement

open access: yesJurnal Elemen, 2023
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

Evaluation of in vitro toxicity of common phytochemicals included in weight loss supplements using 1H NMR spectroscopy

open access: yesFEBS Open Bio, EarlyView.
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

open access: yesIEEE Access, 2020
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).

open access: yesPsychological methods, 2019
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

open access: yesFEBS Open Bio, EarlyView.
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

open access: yes, 2017
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

open access: yesFEBS Open Bio, EarlyView.
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

open access: yes, 2019
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

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
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

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