Results 131 to 140 of about 7,705,107 (359)
Systemic Risk Clustering of China Internet Financial Based on t-SNE Machine Learning Algorithm [PDF]
With the rapid development of Internet finance, a large number of studies have shown that Internet financial platforms have different financial systemic risk characteristics when they are subject to macroeconomic shocks or fragile internal crisis. From the perspective of regional development of Internet finance, this paper uses t-SNE machine learning ...
arxiv
Cerebral autoregulation in patients with acute lacunar infarction: a reliable predictor of outcome
Abstract Objective To further investigate the association between dynamic cerebral autoregulation (dCA) and the outcomes in patients with acute lacunar infarction. Methods Patients were prospectively and consecutively enrolled at The First Hospital of Jilin University between 2016 and 2023. dCA was monitored at 1–3 and 7–10 days after the stroke.
Xiang‐Kun Si+7 more
wiley +1 more source
Unleashing the Power of Multiomics: Unraveling the Molecular Landscape of Peripheral Neuropathy
ABSTRACT Peripheral neuropathies (PNs) affect over 20 million individuals in the United States, manifesting as a wide range of sensory, motor, and autonomic nerve symptoms. While various conditions such as diabetes, metabolic disorders, trauma, autoimmune disease, and chemotherapy‐induced neurotoxicity have been linked to PN, approximately one‐third of
Julie Choi+7 more
wiley +1 more source
Internet of Things (IoT): A vision, architectural elements, and future directions [PDF]
J. Gubbi+3 more
semanticscholar +1 more source
Development of a Disease Model for Predicting Postoperative Delirium Using Combined Blood Biomarkers
ABSTRACT Objective Postoperative delirium, a common neurocognitive complication after surgery and anesthesia, requires early detection for potential intervention. Herein, we constructed a multidimensional postoperative delirium risk‐prediction model incorporating multiple demographic parameters and blood biomarkers to enhance prediction accuracy ...
Hengjun Wan+7 more
wiley +1 more source
Joint Urban Modeling With Graph Convolutional Networks and Crowdsourced Data: A Novel Approach
Graph Convolutional Networks (GCN) are a potent and adaptable tool for effectively processing and analyzing continuous spatial data. Despite the substantial potential of GCN in various domains, most existing spatial data prediction models are confined to
Chao Deng+8 more
doaj +1 more source
Frictionless Commerce? A Comparison of Internet and Conventional Retailers
There have been many claims that the Internet represents a new "frictionless market." Our research empirically analyzes the characteristics of the Internet as a channel for two categories of homogeneous products -- books and CDs -- using a data set of ...
Michael D. Smith, Erik Brynjolfsson
semanticscholar +1 more source
Objective The study objective was to estimate the budget impact of funding a standardized education and exercise therapy program, Good Life with osteoArthritis in Denmark (GLA:D) for people with hip and knee osteoarthritis (OA) waiting for total joint replacement (TJR) consultation in a universal publicly insured health care system in Canada.
Darren R. Mazzei+4 more
wiley +1 more source
In the background of the "cloud-edge collaboration + Internet of Things", in order to provide a comprehensive resource structure basis and a systematic regulation framework for dynamic performance quantitative analysis of virtual power plant (VPP), this ...
Tianqi SONG+6 more
doaj +1 more source
The interaction between cavitation bubbles and solid surfaces is an important issue when investigating the mechanism of collapsing cavitation bubbles. The property of a solid surface has a great effect on the inception, development and collapse of the ...
Yipeng Zhu+5 more
doaj +1 more source