A Multi-Study Model-Based Evaluation of the Sequence of Imaging and Clinical Biomarker Changes in Huntington's Disease [0.03%]
基于多研究模型的亨廷顿舞蹈病影像学和临床生物标志物变化顺序评估
Peter A Wijeratne,Eileanoir B Johnson,Sarah Gregory et al.
Peter A Wijeratne et al.
Understanding the order and progression of change in biomarkers of neurodegeneration is essential to detect the effects of pharmacological interventions on these biomarkers. In Huntington's disease (HD), motor, cognitive and MRI biomarkers ...
Khalil Damak,Olfa Nasraoui,William Scott Sanders
Khalil Damak
Despite advances in deep learning methods for song recommendation, most existing methods do not take advantage of the sequential nature of song content. In addition, there is a lack of methods that can explain their predictions using the co...
Conditional-GAN Based Data Augmentation for Deep Learning Task Classifier Improvement Using fNIRS Data [0.03%]
基于条件生成对抗网络的深度学习任务分类器改进的fNIRS数据增强方法
Sajila D Wickramaratne,Md Shaad Mahmud
Sajila D Wickramaratne
Functional near-infrared spectroscopy (fNIRS) is a neuroimaging technique used for mapping the functioning human cortex. fNIRS can be widely used in population studies due to the technology's economic, non-invasive, and portable nature. fNI...
Flood Inundation Mapping with Limited Observations Based on Physics-Aware Topography Constraint [0.03%]
基于物理感知地形约束的观测受限洪水淹没制图
Arpan Man Sainju,Wenchong He,Zhe Jiang et al.
Arpan Man Sainju et al.
Spatial classification with limited observations is important in geographical applications where only a subset of sensors are deployed at certain spots or partial responses are collected in field surveys. For example, in observation-based f...
Comparative Analysis of Energy Use and Greenhouse Gas Emission of Diesel and Electric Trucks for Food Distribution in Gowanus District of New York City [0.03%]
纽约市gowanus区食品配送中柴油和电动货车的能耗及温室气体排放比较分析
Raghul Elangovan,Ondrea Kanwhen,Ziqian Dong et al.
Raghul Elangovan et al.
New York City's food distribution system is among the largest in the United States. Food is transported by trucks from twelve major distribution centers to the city's point-of-sale locations. Trucks consume large amounts of energy and contr...
COVID-19 as a Research Dynamic Transformer: Emerging Cross-Disciplinary and National Characteristics [0.03%]
新冠肺炎作为研究动态转型器：新兴交叉学科和国家特征
Ryosuke L Ohniwa,Joji Kijima,Mizuho Fukushige et al.
Ryosuke L Ohniwa et al.
The outbreak of the COVID-19 pandemic has had an unprecedented impact on humanity as well as research activities in life sciences and medicine. Between January and August 2020, the number of coronavirus-related scientific articles was rough...
Structure of the Region-Technology Network as a Driver for Technological Innovation [0.03%]
区域技术网络结构：技术创新驱动因素之一
Dion R J O&#x;Neale,Shaun C Hendy,Demival Vasques Filho
Dion R J O&#x;Neale
Agglomeration and spillovers are key phenomena of technological innovation, driving regional economic growth. Here, we investigate these phenomena through technological outputs of over 4,000 regions spanning 42 countries, by analyzing more ...
MARGIN: Uncovering Deep Neural Networks Using Graph Signal Analysis [0.03%]
基于图信号分析的深度神经网络挖掘技术Margin
Rushil Anirudh,Jayaraman J Thiagarajan,Rahul Sridhar et al.
Rushil Anirudh et al.
Interpretability has emerged as a crucial aspect of building trust in machine learning systems, aimed at providing insights into the working of complex neural networks that are otherwise opaque to a user. There are a plethora of existing so...
An Integrated Deep Network for Cancer Survival Prediction Using Omics Data [0.03%]
一种基于组学数据的癌症生存预测集成深度网络模型
Hamid Reza Hassanzadeh,May D Wang
Hamid Reza Hassanzadeh
As a highly sophisticated disease that humanity faces, cancer is known to be associated with dysregulation of cellular mechanisms in different levels, which demands novel paradigms to capture informative features from different omics modali...
Adrian Reuter,Ahmed Abdelmaksoud,Karima Boudaoud et al.
Adrian Reuter et al.
This paper presents the results of a usability study focused on three end-to-end encryption technologies for securing e-mail traffic, namely PGP, S/MIME, and Pretty Easy Privacy (pEp). The findings of this study show that, despite of existi...