In order to understand how algorithms work in different scenarios, it is important to test them both on real and on synthetic data. This technical report provides the description of the simulation-based evaluation of the Topic-Specfic Open Rating System. It includes a complete description of the experiment setup, a motivation and also a detailed analysis of the results.

Computational signal detection constitutes a key element of postmarketing drug monitoring and surveillance. Diverse data sources are considered within the 'search space' of pharmacovigilance scientists, and respective data analysis methods are employed, all with their qualities and shortcomings, towards more timely and accurate signal detection. Recent systematic comparative studies highlighted...

The aim of the AVuPUR project is to enhance our understanding and modelling capacity of water fluxes within suburban watersheds. In particular, the objective is to deliver tools allowing to quantify the impact of anthropogenic elements such as urban areas, roads, ditches on the hydrological regime of suburban rivers. This paper presents the observation and data collection strategy set up by the...

I propose dealing almost exclusively with some methodological aspects of the National Nutrition Survey from the narrowly statistical point of view, leaving statistical inferences and general comments on the results to other speakers. The Central Statistics Office was privileged to collaborate with the Department of Health, but not in so intimate a way as to render it unbecoming for us to congra...

Herbs are precursors of animals and human beings. The plants growing around his vicinity fulfill all the basic needs of human life like food, water and shelter. Similarly plants act like natural tools to treat the ailments. Ayurveda i.e. the total science of human living has identified this natural truth and perfected it. At the outset, two schools of thought prevail regarding the use of herbs ...

Almost sure versions of limit theorems by Kruglov for the Pearson χ 2-statistic are obtained. 1. Introduction and preliminary results. Several papers are devoted to almost sure (a.s.) versions of central limit theorems (CLT), for a review see Berkes [1]. In this section we study a new version of the standard procedure (see Lacey and Philipp [5]) to prove an a.s. limit theorem. We use a strong l...

Automatic assistant-learning and self-learning mechanisms are the primary objective in today’s digital teaching environment. Previous research has focused on the questions-and-answers system of digital leaning field and addressed several aspects of how to possess the following characteristics: (1) Understand questioners’ questions which are in nature language form, (2) Arise the accuracy of sea...

An adaptive joint transform correlator for real-time pattern recognition is presented. A reference image for the correlator is generated with a new iterative algorithm. The training algorithm is based on synthetic discriminant functions. The obtained reference image contains the information needed to reliably discriminate a target against known false objects and a cluttered background. Calibrat...

Understanding how epidemics spread in a system is a crucial step to prevent and control outbreaks, with broad implications on the system's functioning, health, and associated costs. This can be achieved by identifying the elements at higher risk of infection and implementing targeted surveillance and control measures. One important ingredient to consider is the pattern of disease-transmission c...

Human observations during behavioral studies are expensive, time-consuming, and error prone. For this reason, automatization of experiments is highly desirable, as it reduces the risk of human errors and workload. The robotic system we developed is simple and cheap to build and handles feeding and data collection automatically. The system was built using mostly off-the-shelf components and has ...