A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Abstract: The deviation settlement mechanism (DSM) scheme enforces strict regulations on microgrid operators to comply with generation commitment norms set by grid operators. These norms are essential ...
Abstract: With its inherent causal reasoning and superior capacity for handling uncertainty, the belief rule base (BRB) has been widely applied in complex systems modeling. As a generalization of ...
The trade-off between the security and efficiency of a lightweight crypto design is interlinked with the fine harnessing of entropy sources. Merging this source with a finite random sequence is an ...
There are many methods available to fit random-effects meta-analysis. However, until 2024, the only option available in RevMan has been the DerSimonian and Laird random-effects method. This method is ...
Amid efforts to address energy consumption in modern computing systems, one promising approach takes advantage of random networks of non-linear nanoscale junctions formed by nanoparticles as ...
Department of the Rehabilitation Medicine, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China Background: Inflammation and liver function are associated with ...
i was running tests on hardhat for this contract and this particular error popped up. The thing is, I do not have any enum for my contract. That particular line of ...
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