Mechanism-based targeting of lactate dehydrogenase tetramerization by naturally derived compounds: A survey of molecular docking, molecular dynamics, and QSAR analysis [0.03%]
基于机制的乳酸脱氢酶四聚化作用的天然衍生化合物靶向研究：分子对接、分子动力学和QSAR分析综述
Shiva Farmani,Najme Dehghanbanadaki,Mahan Balooei et al.
Shiva Farmani et al.
Metabolic reprogramming is a hallmark of cancer, characterized by the upregulation of glycolysis as well as alterations in lactate metabolism via LDH isoforms. LDH is a tetramer formed by two dimers and is commonly overexpressed in tumors. ...
Bridging the quality gap: Robust colon wall segmentation in noisy transabdominal ultrasound [0.03%]
质量差距的桥梁：嘈杂经腹超声图像中结肠壁分割的稳健方法
Lucas Gago,Miguel A Fernández González,Justin Engelmann et al.
Lucas Gago et al.
Colon wall segmentation in transabdominal ultrasound is challenging due to variations in image quality, speckle noise, and ambiguous boundaries. Existing methods struggle with low-quality images due to their inability to adapt to varying no...
Tensor analysis of animal behavior by matricization and feature selection [0.03%]
基于矩阵化和特征选择的张量动物行为分析
Beichen Wang,Jiazhang Cai,Luyang Fang et al.
Beichen Wang et al.
Contemporary neurobehavior research often collects multi-dimensional tensor (MDT) data containing time-series measurements for multiple features from multiple animals subjected to various perturbations. Proper analysis of the MDT data can r...
Building hybrid models of neuromodulation from automatic segmentation of peripheral nerve histological sections [0.03%]
基于外周神经组织学切片自动分割的神经调制混合模型构建
Claudio Verardo,Alice Giannotti,Clement Albert et al.
Claudio Verardo et al.
Electrical stimulation of peripheral nerves offers a way to restore sensory-motor functions and treat drug-resistant conditions affecting internal organs. Understanding the fascicular organization of the implanted nerves is essential for en...
AI-driven pupillary-computer interface via binary-coded flickering stimuli [0.03%]
基于二进制编码闪烁刺激的AI驱动瞳孔-计算机界面
Sangin Park,Sungchul Mun
Sangin Park
Pupillary-computer interface (PCI) refers to a novel interaction modality that leverages pupil size variations elicited by changes in visual stimulus brightness. The PCI based on the pupillary light reflex (PLR) induced by binary-coded visu...
Robust and explainable framework to address data scarcity in diagnostic imaging [0.03%]
一种鲁棒且可解释的框架，用于解决诊断影像中的数据稀缺问题
Zehui Zhao,Laith Alzubaidi,Jinglan Zhang et al.
Zehui Zhao et al.
Deep learning has significantly advanced automatic medical diagnostics, releasing human resources from clinical pressure, yet the persistent challenge of data scarcity in this area hampers its further improvements and applications. To addre...
Predicting dementia through audio: Ensemble and deep learning approaches using acoustic features [0.03%]
基于声学特征的集成学习和深度学习方法预测痴呆症
G Priyanka,K Amshakala
G Priyanka
A deterioration in cognitive function beyond what one might expect from normal aging characterizes the symptoms of dementia. It predominantly marks older adults, although it is not a normal part of aging. Dementia encompasses a range of sym...
Neonatal pain speech emotion recognition based on Horizontal and Vertical Sparse Mask Time-Frequency Transformer Network [0.03%]
基于水平和垂直稀疏掩膜时频变换网络的新生儿疼痛语料情感识别
Jingjie Yan,Wenjing Sun,Boyan Sun et al.
Jingjie Yan et al.
Neonatal pain speech emotion recognition is a novel and challenging research topic that can effectively assist clinical medical staff in accurately determining the pain status of neonates. However, to date, few studies have addressed this t...
Characterizing resting-state EEG oscillatory and aperiodic activity in neurodegenerative diseases: A multicentric study [0.03%]
多中心研究表征神经退行性疾病受试者静息态EEG振荡及非周期活动特征
Alberto Jaramillo-Jimenez,Yorguin-Jose Mantilla-Ramos,Diego A Tovar-Rios et al.
Alberto Jaramillo-Jimenez et al.
Background: Abnormalities in resting-state electroencephalogram (rsEEG) posterior alpha rhythm are promising biomarkers of neurodegenerative diseases (NDDs), often assessed via spectral analysis, ignoring the signal's non...
Tsallis statistics enhanced logistic regression for gene expression classification [0.03%]
基于Tsallis统计的基因表达分类增强逻辑回归方法
Baiyang Zhang,Shunjie Chen,Keming Shen et al.
Baiyang Zhang et al.
Two kinds of Tsallis statistics-enhanced sigmoid functions are introduced based on q-deformed exponents for q