Scintillation light production, propagation, and detection in the 4-ton dual-phase LAr-TPC demonstrator (data analysis and simulations). (arXiv:1911.06874v1 [physics.ins-det])

The Deep Underground Neutrino Experiment (DUNE) Far Detector (FD) will be formed by four 10-kton Liquid Argon (LAr) Time Projection Chambers (TPC) using both single and dual-phase technology. The dual-phase technology foreseen the charge amplification in the gas phase before the signal collection and is following a staged approach to demonstrate its feasibility at the…

Ambipolar perovskite light electrochemical cell for transparent display devices. (arXiv:1911.06875v1 [physics.app-ph])

Perovskite light-emitting diodes (PeLEDs) have recently attracted great research luminescence at room temperature in interest for their narrow emissions and solution processability. Remarkable progress has been achieved PeLEDs in recent years. Here we present the new configuration of ambipolar transparent perovskite light emitting device. The combination of voltage induced p-i-n formation and ionically doped carbon…

QC-Automator: Deep Learning-based Automated Quality Control for Diffusion MR Images. (arXiv:1911.06816v1 [eess.IV])

Quality assessment of diffusion MRI (dMRI) data is essential prior to any analysis, so that appropriate pre-processing can be used to improve data quality and ensure that the presence of MRI artifacts do not affect the results of subsequent image analysis. Manual quality assessment of the data is subjective, possibly error-prone, and infeasible, especially considering…

Dynamic Modeling and Equilibria in Fair Decision Making. (arXiv:1911.06837v1 [cs.LG])

Recent studies on fairness in automated decision making systems have both investigated the potential future impact of these decisions on the population at large, and emphasized that imposing ”typical” fairness constraints such as demographic parity or equality of opportunity does not guarantee a benefit to disadvantaged groups. However, these previous studies have focused on either…

Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning. (arXiv:1911.06854v1 [cs.LG])

Off-policy policy evaluation (OPE) is the problem of estimating the online performance of a policy using only pre-collected historical data generated by another policy. Given the increasing interest in deploying learning-based methods for safety-critical applications, many recent OPE methods have recently been proposed. Due to disparate experimental conditions from recent literature, the relative performance of…

Microsimulation of Energy and Flow Effects from Optimal Automated Driving in Mixed Traffic. (arXiv:1911.06818v1 [eess.SY])

This paper studies the energy and traffic impact of a proposed Cooperative and Anticipative Cruise Controller in a PTV VISSIM microsimulation environment. We dissect our controller into two parts: 1. the anticipative mode, more immediately beneficial when automated vehicle fleet penetration is low, and 2. the connected mode, beneficial in coordinated platooning scenarios and high…

Review of Quantitative Systems Pharmacological Modeling in Thrombosis. (arXiv:1911.07018v1 [q-bio.TO])

Hemostasis and thrombosis are often thought as two sides of the same clotting mechanism whereas hemostasis is a natural protective mechanism to prevent bleeding and thrombosis is a blood clot abnormally formulated inside a blood vessel, blocking the normal blood flow. The evidence to date suggests that at least arterial thrombosis results from the same…

Semiparametric Estimation of Correlated Random Coefficient Models without Instrumental Variables. (arXiv:1911.06857v1 [econ.EM])

We study a linear random coefficient model where slope parameters may be correlated with some continuous covariates. Such a model specification may occur in empirical research, for instance, when quantifying the effect of a continuous treatment observed at two time periods. We show one can carry identification and estimation without instruments. We propose a semiparametric…

Evaluation of techniques for predicting seizure Build up. (arXiv:1911.07081v1 [eess.SP])

The analysis of electrophysiological signal of scalp: EEG (electroencephalography), MEG (magnetoencephalography) and depth (intracerebral EEG) IEEG is a way to delimit epileptogenic zone (EZ). These epileptic signals present two different activities (oscillations and spikes) which can be overlapped in the time frequency plane. Automatic recognition of epileptic seizure occurrence needs several preprocessing steps. In this…

Handwritten and Machine printed OCR for Geez Numbers Using Artificial Neural Network. (arXiv:1911.06845v1 [cs.CV])

Researches have been done on Ethiopic scripts. However studies excluded the Geez numbers from the studies because of different reasons. This paper presents offline handwritten and machine printed Geez number recognition using feed forward back propagation artificial neural network. On this study, different Geez image characters were collected from google image search and three persons…