Results 101 to 110 of about 1,347,746 (312)
End-to-end (E2E) neural models are increasingly attracting attention as a promising modeling approach for mispronunciation detection and diagnosis (MDD). Typically, these models are trained by optimizing a cross-entropy criterion, which corresponds to improving the log-likelihood of the training data.
Yan, Bi-Cheng +3 more
openaire +2 more sources
Malectin alleviates high glucose‐induced ER stress and damage in placental trophoblasts, a function dependent on its six critical carbohydrate‐binding residues. In a GDM mouse model, administration of TAT‐Malectin ameliorated hyperglycemia and placental ER stress and prevented fetal macrosomia.
Jiahui Zhu +12 more
wiley +1 more source
The Ministry of Health and Social Welfare of South Africa has made significant efforts to combat tuberculosis (TB), guided by the National Strategic Plan for addressing HIV, STIs, and TB.
Moses Asori +3 more
doaj +1 more source
ERK‐Mediated Phosphorylation of YAP Defines a Noncanonical FGF Signaling Mechanism in Stem Cells
With a powerful combination of in vivo, ex vivo, and in vitro models, the authors highlight a novel FGF‐ERK signaling regulation of YAP at the S128 site in neural crest‐derived stem cells. This study opens exciting new directions in stem cell biology and craniofacial biology, paving the way for potential innovations in the treatment of craniofacial ...
Xiaolei Zhao +16 more
wiley +1 more source
Enhancing Face Recognition Model Performance Through HyperStyle-Driven Data Augmentation
Face recognition is a reliable biometric technology that utilizes artificial intelligence and computer vision to identify and verify an individual’s identity based on facial features.
Muhammad Chaidir +3 more
doaj +1 more source
Unraveling the Molecular Mechanisms Underlying Spontaneous Multipolar Mitosis Through CIN‐seq
Multipolar mitosis, a hallmark of chromosomal instability (CIN), drives tumor heterogeneity but is challenging to study in live cells. Using CIN‐seq, a single‐cell multiomics method, we profiled rare CIN events and identified mechanisms associated with viable multipolar mitosis, including PTEN attenuation, Rho GTPase‐driven cytokinesis failure, and ...
Pin‐Rui Su +10 more
wiley +1 more source
Spiking Neural Networks for People Counting Based on FMCW Radar
This paper presents an innovative method for indoor people counting using Spiking Neural Networks (SNNs) exclusively with radar data, effectively addressing privacy concerns associated with camera-based systems.
Alberto Martin-Martin +6 more
doaj +1 more source
Paternal Circadian Disruption Impairs Offspring Cognition via Sperm microRNAs
Paternal circadian disruption remodels the sperm small RNA payload, elevating miR‐92a‐3p/miR‐25‐3p levels and perturbing early embryonic gene regulatory programs. Microinjection experiments and single‐embryo transcriptomics reveal sex‐specific developmental vulnerabilities, ultimately impairing offspring hippocampal synaptic plasticity and cognition ...
Kexin Zou +22 more
wiley +1 more source
A transformer based multi task learning approach to multimodal hate speech detection
Online hate speech has become a major social issue in recent years, affecting both individuals and society as a whole. Memes are a multimodal kind of internet hate speech that is growing more common. Online memes are often entertaining and harmless.
Prashant Kapil, Asif Ekbal
doaj +1 more source
This study compares various F1-score variants—micro, macro, and weighted—to assess their performance in evaluating text-based emotion classification. Lexicon distillation is employed using the multilabel emotion-annotated datasets XED and GoEmotions. The aim of this paper is to understand when each F1-score variant is better suited for evaluating text ...
Maria Cristina Hinojosa Lee +2 more
openaire +3 more sources

