Abstract We present a forward-modeling framework for estimating galaxy redshift distributions from photometric surveys. Our forward model is composed of: detailed population describing the intrinsic distribution of physical characteristics galaxies, encoding evolution physics; stellar synthesis connecting properties galaxies to their photometry; data characterizing observation and calibration p...

Previous kinematic and dynamic analysis has demonstrated the singularity-free workspace and the high force-bearing characteristics of the Wrist. This chapter completes the dynamic model of the Carpal Wrist by presenting a closed-form solution and algorithm to the time response (forward dynamic) problem. With this model, simulation of the Wrist in an application environment can be performed to g...

A series of 2-amino pyridine-3-carbinitrile derivatives incorporated coumarin moiety has developed via multicomponent condensation of 3-acetyl-2H-chromen-2-one, arylaldehydes, malononitrile and ammonium acetate utilizing Brønsted acidic ionic liquid, (4-sulfobutyl)tris(4-sulfophenyl)phosphonium hydrogen sulfate as catalyst under solvent-free conditions. Good yields, short reaction times, straig...

The Trust, Reputation and User Modeling (TRUM) workshop (http://madmuc.usask.ca/WS-TRUM/) pursued the following objectives: • To bring researchers together from the communities of trust and reputation modeling and user modeling; • To initiate and facilitate discussions on the new trends in trust, reputation and user modeling, and to move the trends forward; • To provide a forum for cutting-age ...

A recent study proposes a mathematical model of SARS-CoV-2 to help identify mechanistic correlates protection, which can be used assist in determining vaccine efficacy.

This paper studies the challenging problem of reinforcement learning (RL) in hard exploration tasks with sparse rewards. It focuses on stage before agent gets first positive reward, which case, traditional RL algorithms simple strategies often work poorly. Unlike previous methods using some attribute a single state as intrinsic reward to encourage exploration, this leverages social influence be...

In this work, we present an inverse scattering approach to address the timely detection of damage and leakage from pipelines via multi-bistatic ground penetrating radar (GPR) surveys. The approach belongs to the class of linearized distorted wave models and explicitly accounts for the available knowledge on the investigated scenario in terms of pipe position and size. The inversion is regulariz...

The main issue of this paper is the design of a class of SISO robust control law for the regulation of dissolved oxygen (DO) of an industrial Activated Sludge Wastewater Plant via the air flow rate (non-affine control input). The control design is related with an uncertainty estimator (reduced order observer) based Generic Model Control (GMC). The desired dissolved oxygen trajectory is proposed...