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Form 10-Q FUELCELL ENERGY INC For: Apr 30

Form 10-Q FUELCELL ENERGY INC For: Apr 30
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United States , State Of Connecticut , Long Island , City Of Riverside , Port Of Long Beach , New York , Trinity College , Zuid Holland , New Britain , South Korea , San Bernardino , United Kingdom , Alameda County , Housatonic River , Los Angeles , Tulare Bio , Michaels Bishop , Cell Energy Finance Holdco , B Riley Securities Inc , Korea Fuel Cell Co Ltd , Versa Ltd , Yaphank Partnership , Us Navy Submarine Base In Groton , Cell Yt Holdco , Service Agreements , Debt Service Reserve ,

Form S-1/A 60 DEGREES PHARMACEUTICA

Form S-1/A 60 DEGREES PHARMACEUTICA
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United Kingdom , District Of Columbia , United States , Monte Carlo , Hong Kong , Saddle River , City Of , New York , National University Of Singapore , Singapore General , New Jersey , City Of Washington , State Of New York , New South Wales , University College , New Zealand , State Of Delaware , Western Australia , Russian Federation , Geoffreys Dow , Douglas Loock , David Ficksman , Stephen Toovey , Cheryl Xu , Kevin Adkins , Los Angeles ,

"Accurate and Fast Deep Learning Dose Prediction for a Preclinical Micr" by Florian Mentzel, Jason Paino et al.

Microbeam radiation therapy (MRT) utilizes coplanar synchrotron radiation beamlets and is a proposed treatment approach for several tumor diagnoses that currently have poor clinical treatment outcomes, such as gliosarcomas. Monte Carlo (MC) simulations are one of the most used methods at the Imaging and Medical Beamline, Australian Synchrotron to calculate the dose in MRT preclinical studies. The steep dose gradients associated with the 50 (Formula presented.) m-wide coplanar beamlets present a significant challenge for precise MC simulation of the dose deposition of an MRT irradiation treatment field in a short time frame. The long computation times inhibit the ability to perform dose optimization in treatment planning or apply online image-adaptive radiotherapy techniques to MRT. Much research has been conducted on fast dose estimation methods for clinically available treatments. However, such methods, including GPU Monte Carlo implementations and machine learning (ML) models, are un ....

Monte Carlo , Medical Beamline , Australian Synchrotron , Deep Learning , Lose Prediction , Microbeam Radiation Therapy , Monte Carlo Simulation , Preclinical Study ,

Form 10-K H-CYTE, INC. For: Dec 31

Form 10-K H-CYTE, INC. For: Dec 31
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United States , Hillsborough County , White House , District Of Columbia , United Kingdom , Florida Atlantic University , Tanya Rhodes , Williame Horne , Deverra Theraputics , Christ Sullivan , Chen Moore , Arthur Young , Raymond Monteleone , Monte Carlo , Richard Rosenblum , Michael Yurkowsky , Robert Greif , Jeremy Daniel , William Horne , Matthew Anderer , Harborview Capital Advisors , Lung Health Institute , Drug Administration , Blue Zone Med , Lung Institute Pittsburgh Llc Li , Lung Institute Dallas Llc Li ,

BRP : The Company - Form 8-K | MarketScreener

The Company

BRP Group, Inc. is an independent insurance distribution firm delivering tailored insurance and risk management insights and solutions that give our Clients the. | May 9, 2023 ....

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