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The Montreal Cognitive Assessment (MoCA) is a widely used screening assessment for detecting cognitive impairment. [1] It was created in 1996 by Ziad Nasreddine in Montreal, Quebec. It was validated in the setting of mild cognitive impairment (MCI), and has subsequently been adopted in numerous other clinical settings. This test consists of 30 ...
In 1996, after his fellowship, he decided to adapt his comprehensive screen and create a much quicker comprehensive assessment that is adapted to first-line specialty clinics with a high volume of patients. In 2005, the MoCA test was validated for clinical use [2]. It is since widely used across the world in a variety of settings as this test ...
The Self-administered Gerocognitive Examination is a brief cognitive assessment instrument for mild cognitive impairment (MCI) and early dementia, created by Douglas Scharre, Professor of Clinical Neurology and Psychiatry at Ohio State University Wexner Medical Center in Columbus, Ohio. A digital version exists. [1]
The Montreal Cognitive Assessment Test is a widely used tool for detecting cognitive decline," Haley wrote. "They should both take the test, along with every other politician over the age of 75 ...
The current version of the test is the fourth edition (WPPSI-IV). Children between the ages of two years and six months old, to three years and 11 months old, are testing on the following: "block design, information, object assembly, picture naming, and receptive vocabulary".
macOS Monterey is the final version of macOS that supports the 2015–2017 MacBook Air, Retina MacBook Pro, 2014 Mac Mini, 2015 iMac and cylindrical Mac Pro, as its successor, macOS Ventura, drops support for those models. It is the last version of macOS that can run on Macs with 4GB of RAM.
Dask is an open-source Python library for parallel computing.Dask [1] scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy.
Merge, users may freely edit files, but are informed of possible conflicts upon checking their changes into the repository, whereupon the version control system may merge changes on both sides, or let the user decide when conflicts arise. Distributed version control systems usually use a merge concurrency model.