Results 31 to 40 of about 709,643 (231)

Privately Connecting Mobility to Infectious Diseases via Applied Cryptography [PDF]

, 2021
Human mobility is undisputedly one of the critical factors in infectious disease dynamics. Until a few years ago, researchers had to rely on static data to model human mobility, which was then combined with a transmission model of a particular disease ...
Bampoulidis, Alexandros, Bruni, Alessandro, Helminger, Lukas, Kales, Daniel, Rechberger, Christian, Walch, Roman   +5 more
core   +1 more source

Evaluation of the system accuracy of frameless stereotactic radiosurgery using a combination of cone beam CT, six degrees of freedom couch, and surface image‐guided systems

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study aims to evaluate the accuracy of the frameless linear accelerator‐based stereotactic radiosurgery (FSRS) system incorporating cone‐beam CT (CBCT), six degrees of freedom (6‐DoF) couch, room laser, and surface image‐guided (SG) systems.
Hao‐Wen Cheng, Jonathan Li, Sheng‐Hsuan Sun, Guanghua Yan, Chihray Liu   +4 more
wiley   +1 more source

Fiber optic vibration transducer and analyzer Patent [PDF]

, 1967
Fiber optic transducers for monitoring and analysis of vibration in aerospace vehicles and onboard ...
Davis, A. J.
core   +1 more source

Strong Optimized Conservative Fermi-LAT Constraints on Dark Matter Models from the Inclusive Photon Spectrum

, 2015
We set conservative, robust constraints on the annihilation and decay of dark matter into various Standard Model final states under various assumptions about the distribution of the dark matter in the Milky Way halo.
Albert, Andrea, Bloom, Elliott, Essig, Rouven, Gomez-Vargas, German A., Izaguirre, Eder, Massari, Andrea   +5 more
core   +1 more source

Comprehensive clinical evaluation of novel 4DCT‐based lung function imaging methods

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Methods have been developed that apply image processing to 4DCTs to generate 4DCT‐ventilation/perfusion lung imaging. Traditional methods for 4DCT‐ventilation rely on Hounsfield‐Unit (HU) density‐change methods and suffer from poor numerical robustness while not providing 4DCT‐perfusion data.
Ehsan Golkar, Taindra Neupane, Lydia Wilson, Jennifer Kwak, Richard Castillo, Edward Castillo, Yevgeniy Vinogradskiy   +6 more
wiley   +1 more source

Open‐source deep‐learning models for segmentation of normal structures for prostatic and gynecological high‐dose‐rate brachytherapy: Comparison of architectures

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien, Yasin Abdulkadir, Dishane C. Luximon, John Charters, Huiming Dong, Jonathan Pham, Dylan O'Connell, Jack Neylon, James M. Lamb   +8 more
wiley   +1 more source

Machine stability and dosimetry for ultra‐high dose rate FLASH radiotherapy human clinical protocol

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The FLASH effect, induced by ultra‐high dose rate (UHDR) irradiations, offers the potential to spare normal tissue while effectively treating tumors. It is important to achieve precise and accurate dose delivery and to establish reliable detector systems, particularly for clinical trials needed to help the clinical transfer of FLASH‐
Patrik Gonçalves Jorge, Reiner Geyer, Rémy Kinj, Luis Schiappacasse, Wendy Jeanneret‐Sozzi, Jean Bourhis, Fernanda Herrera, François Bochud, Claude Bailat, Raphaël Moeckli   +9 more
wiley   +1 more source

Unsupervised non‐small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity‐based discriminator

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning‐based automatic segmentation methods rely on manually annotated data for network training. Purpose This study aims to develop an unsupervised tumor segmentation network smic‐GAN by using a similarity‐driven generative adversarial ...
Chengyijue Fang, Xiaoyang Li, Yidong Yang   +2 more
wiley   +1 more source

Weak Lensing of the CMB by Large-Scale Structure

, 2004
Several recent papers have studied lensing of the CMB by large-scale structures, which probes the projected matter distribution from $z=10^3$ to $z\simeq 0$. This interest is motivated in part by upcoming high resolution, high sensitivity CMB experiments,
Alexandre Amblard, Bartelmann, Birkinshaw, Carlstrom, Chris Vale, Cooray, Guzik, Hirata, Hirata, Ho, Hu, Hu, Hu, Kaplinghat, Kesden, Martin White, Okamoto, Ostriker, Peacock, Renka, Rephaeli, Seljak, Seljak, Seljak, Shulz, Sunyaev, Sunyaev, Sunyaev, Takada, Tegmark, Vale, White, Zaldarriaga, Zaldarriaga   +33 more
core   +1 more source

Back To Basics: Teaching The Statement Of Cash Flows

, 2011
A conceptual foundation for the Statement of Cash Flows based on the ten elements of financial statements provides students with a deep understanding of core accounting concepts.
H. W. Cecil, T. King, Christine Andrews
semanticscholar   +1 more source