Indirect ophthalmoscopy (IO) is the standard of care for evaluation of the neonatal retina. When recorded on video from a head-mounted camera, IO images have low quality and narrow Field of View (FOV). We present an image fusion methodology for converting a video IO recording into a single, high quality, wide-FOV mosaic that seamlessly blends the best frames in the video. To this end, we have d...

We study the potential for precision electroweak (EW) measurements and beyond-the-Standard Model (BSM) searches using cross-section asymmetries in neutral-current deep inelastic scattering at electron-ion collider (EIC). Our analysis uses a complete realistic accounting of systematic errors from both theory experiment considers proton deuteron beams wide range energies luminosities. also consid...

We investigate the $\mathrm{sin}({\ensuremath{\phi}}_{\mathrm{\ensuremath{\Lambda}}}\ensuremath{-}{\ensuremath{\phi}}_{S})$ single-spin asymmetry in transversely polarized $\mathrm{\ensuremath{\Lambda}}$ production semi-inclusive deeply inelastic scattering process within transverse momentum dependent (TMD) factorization. The is contributed by convolution of polarizing TMD fragmentation functio...

In this paper we consider a small-$x$ model for gluon GTMDs that fit to data on diffractive dijet production in electron-proton collisions obtained by HERA's H1 Collaboration. Assuming small number of free parameters, each with physical motivation, are able describe those fairly well and obtain predictions the EIC both electroproduction photoproduction which may allow further test underlying GT...

Accurate and robust localization is a fundamental need for mobile agents. Visual–inertial odometry (VIO) algorithms exploit the information from camera inertial sensors to estimate position translation. Recent deep-learning-based VIO models attract attention as they provide pose in data-driven way, without of designing hand-crafted algorithms. Existing learning-based rely on recurrent fuse mult...

We introduce a method to reconstruct the kinematics of neutral-current deep inelastic scattering (DIS) using neural network (DNN). Unlike traditional methods, it exploits full kinematic information both scattered electron and hadronic-final state, accounts for QED radiation by identifying events with radiated photons event-level momentum imbalance. The is studied simulated at HERA future Electr...

We propose to investigate the properties of nuclear matter by measuring the elastic scattering of J/ψ on nuclei with high precision. The J/ψ mesons are produced from the photons emitted in high energy electron-proton or electron-nucleus scattering in the low-x region. The measurement could be performed at the future ENC, EIC or LHeC facilities.

Abbreviations: ASPECTS: Alberta Stroke Program Early CT Score; CT: Computed Tomography; EIC: Early Ischemic Changes; FKA: First Known Abnormal; IQR: Interquartile Range; IV: Intravenous; LKN: Last Known Normal; mRS: modified Rankin Scale; MRI: Magnetic Resonance Imaging; rtPA: recombinant Tissue plasminogen Activator; SD: Standard Deviation; SICH: Symptomatic Intracerebral Haemorrhage; SITS-MOS...

This report describes the physics case, resulting detector requirements, and evolving concepts for experimental program at Electron-Ion Collider (EIC). The EIC will be a powerful new high-luminosity facility in United States with capability to collide high-energy electron beams proton ion beams, providing access those regions nucleon nuclei where their structure is dominated by gluons. Moreover...