tingilinde

the power grid

A remarkable piece of work.  Some of the display choices leave something to be desired, but still 

a tip of the hat to Steve

 

 

 

 

in case you were wondering

(you may want to turn the sound off)

on the scale of optical telescopes

 

 

 

a bit out-dated, but a good sense of scale

 

comments on web3

A good response to the latest in Silicon Valley techno-babel.  They want a web that doesn't really do much more than what we have now - except it would probably be slower and more expensive.

I don't think he's negative enough, but ymmv

a tip of the hat to Om

 

 

 

the mirror(s) at l2

A thread on JWST's mirrors 

 

bbb and the energy landscape

How might the energy landscape change if Build Back Better passed

a tip of the hat to Sukie

 

jwst deployment events

A timeline and description of events on the deployment of the telescope on it's way to L2.

 

open source ultra-cheap mri machines?

Very low magnetic fields with permanent magnets, but deep learning to sort through the images.  Not as sharp, but perhaps useful and way better than nothing.

The open access paper in Nature Communications.

 

A low-cost and shielding-free ultra-low-field brain MRI scanner

 

Yilong Liu 1,2,7, Alex T. L. Leong1,2,7, Yujiao Zhao1,2,7, Linfang Xiao1,2,7, Henry K. F. Mak 3, Anderson Chun On Tsang 4, Gary K. K. Lau5, Gilberto K. K. Leung4 & Ed X. Wu 1

 

Magnetic resonance imaging is a key diagnostic tool in modern healthcare, yet it can be cost- prohibitive given the high installation, maintenance and operation costs of the machinery. There are approximately seven scanners per million inhabitants and over 90% are con- centrated in high-income countries. We describe an ultra-low-field brain MRI scanner that operates using a standard AC power outlet and is low cost to build. Using a permanent 0.055 Tesla Samarium-cobalt magnet and deep learning for cancellation of electromagnetic inter- ference, it requires neither magnetic nor radiofrequency shielding cages. The scanner is compact, mobile, and acoustically quiet during scanning. We implement four standard clinical neuroimaging protocols (T1- and T2-weighted, fluid-attenuated inversion recovery like, and diffusion-weighted imaging) on this system, and demonstrate preliminary feasibility in diagnosing brain tumor and stroke. Such technology has the potential to meet clinical needs at point of care or in low and middle income countries

 

 

 

a true gentleman and scholar

Greg Blonder gets a bit of well-deserved recognition.

He's an inventor and much more.  

 

 

 

a much better webcam

The Opal C1

A photographer friend I trust (Om) is a test user and says it's great.