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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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At least 73 records · Page 4

XL4 Klystron (Top level drawing AD-700-924-00)

This drawing package is for the SLAC XL4 x-band pulsed klystron that was originally developed as a source for high gradient accelerator structures for the Next Linear Collider project. This device has proven to be a very useful source for driving a variety of high gradient breakdown experiments to linearizer and deflector structures instrumental to the LCLS operation. This klystron operates at a frequency of 11.424 GHz and produces a peak output power of 50 MW with a pulse length of 1.5 {mu}s at 60 Hz pulse repetition rate.

Tremaine, Aaron↗

5045 Klystron (Top level drawing AD-700-870-00)

This drawing package is for the SLAC 5045 s-band pulsed klystron that was designed to power the SLAC Linear Collider. It is currently powering the SLAC LCLS and FACET linear accelerators. This klystron operates at a frequency of 2.856 GHz and produces a peak output power of 67 MW with a pulse length of 3.5 {mu}s at 180 Hz pulse repetition rate.

Tremaine, Aaron↗

TREAT Cask Stand Drawings for Unlimited Use

This report contains drawings of the HFEF-15 Cask stand in the TREAT Reactor Building (MFC-720) and the Cask Stand Tower on the south wall of the TREAT High Bay. Public release is sought so these can be sent to DOD-SCO and their contracted companies looking at options for fueling the PELE reactor prior to demonstration in the DOME or elsewhere at INL.

21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS↗

An Artificial Intelligence-Assisted Method for Dementia Detection Using Images from the Clock Drawing Test

Background: Widespread dementia detection could increase clinical trial candidates and enable appropriate interventions. Since the Clock Drawing Test (CDT) can be potentially used for diagnosing dementia-related disorders, it can be leveraged to develop a computer-aided screening tool. Objective: To evaluate if a machine learning model that uses images from the CDT can predict mild cognitive impairment or dementia. Methods: Images of an analog clock drawn by 3,263 cognitively intact and 160 impaired subjects were collected during in-person dementia evaluations by the Framingham Heart Study. We processed the CDT images, participant’s age, and education level using a deep learning algorithm to predict dementia status. Results: When only the CDT images were used, the deep learning model predicted dementia status with an area under the receiver operating characteristic curve (AUC) of 81.3% ± 4.3%. A composite logistic regression model using age, level of education, and the predictions from the CDT-only model, yielded an average AUC and average F1 score of 91.9% ±1.1% and 94.6% ±0.4%, respectively. Conclusion: Our modeling framework establishes a proof-of-principle that deep learning can be applied on images derived from the CDT to predict dementia status. When fully validated, this approach can offer a cost-effective and easily deployable mechanism for detecting cognitive impairment.

Neurosciences & Neurology↗

Comment on “Double Your Variance, Dirtify Your Bayes, Devour Your Pufferfish, and Draw Your Kidstogram,” by Xiao-Li Meng

This contribution is a series of comments on Prof. Xiao-Li Meng’s article, “Double Your Variance, Dirtify Your Bayes, Devour Your Pufferfish, and Draw Your Kidstogram”. Prof. Meng’s article offers some radical proposals and not-so-radical proposals to improve the quality of statistical inference used in the sciences and also to extend distributional thinking to early education. Discussions and alternative proposals are presented.

97 MATHEMATICS AND COMPUTING↗

Copper-acrylic enamel serves as lubricant for cold drawing of refractory metals

Acrylic enamel spray containing metallic copper pigment lubricates refractory metal tubing during cold drawing operations so that the tubing surface remains free from scratches and nicks and does not seize in the die. Zirconium alloys, zirconium, tantalum alloys, niobium alloys, vanandium alloys and titanium alloys have been drawn using this lubricant.

Beane, C.↗