We proposed a graph-based spatial-temporal convolutional and attention neural network (GSTCAN) with an attention model to overcome the current challenges and develop an advanced medical technology system. The spatial-temporal convolutional system has recently proven the power of ...
Nov 25, 2023 FallGuysStats.csproj Bug fix Dec 11, 2024 FallGuysStats.sln Bug fix Nov 16, 2023 FodyWeavers.xml Added Costura.Fody for embed dll. Mar 24, 2023 FodyWeavers.xsd 1.398 version update Dec 12, 2024 LICENSE License and Readme ...
such as medication, aging, and comorbid diseases may simultaneously affect fall-related adverse events (AEs) in older adults, we evaluated the association between fall-related AEs and the use of medication, aging, and comorbid diseases using the Japanese Adverse Drug Event Report (JADER) database...
Knowledge Graph Improved Dynamic Risk Analysis Method for Behavior-Based Safety Management on a Construction Site 2023, Journal of Management in Engineering Developing a National Data-Driven Construction Safety Management Framework with Interpretable Fatal Accident Prediction 2023, Journal of Construction Engine...
These keywords were searched in the database in free combinations with close synonyms up to August 1, 2023. In addition, the relevant references listed in the retrieved literature were perused to prevent missing relevant literature. Initially, two reviewers (ZH and GZ) conducted a database search...
For noncoding RNA (ncRNA) annotation, Infernal 1.1.236and tRNAScan v1.337were executed for rRNA and tRNA prediction, respectively. Other noncoding RNAs were detected by alignment against the Rfam database38. 431 noncoding RNAs (ncRNAs) were predicted, including 84 micro-RNAs (miRNAs), 97 riboso...
我劝退斯坦福的物理program，和in general斯坦福的所有phd program。我自己是物理系的，但应用物理跟我们差...
and compare the results with traditional molecular dynamics simulations. We'll apply graph theoretic ...
Bar graph describingCOIhaplotype frequencies in western and eastern Africa. Collections are as described in Table1. The mean ± the Standard Error of the Mean (SEM) for different regions is presented above the graph. Asterisks indicate data from earlier studies. ...
The graph-based spatial temporal convolutional and attention network (GSTCAN) model was proposed here to enhance the work of [34,35,65], and is a GCN [74]-based motion recognition method that automatically learns spatial and temporal patterns from skeleton data. The main advantage of the propo...