Ranking and selecting association rules based on dominance relationship

The huge number of association rules represent the main obstacle that a decision maker faces. In order to bypass this obstacle, an efficient selection of rules must be performed. Since selection is necessarily based on evaluation, many interestingness measures have been proposed. However, the abundance of these measures caused a new problem which is the heterogeneity of the evaluation results and this created confusion to the decision. In this scope, we propose a novel approach to discover interesting association rules without favouring or excluding any measure by adopting the notion of dominance between rules. Our approach bypasses the problem of measure heterogeneity and find a compromise between their evaluations and also bypasses another non-trivial problem which is the threshold value specification

Towards a semantic and statistical selection of association rules

The increasing growth of databases raises an urgent need for more accurate methods to better understand the stored data. In this scope, association rules were extensively used for the analysis and the comprehension of huge amounts of data. However, the number of generated rules is too large to be efficiently analyzed and explored in any further process. Association rules selection is a classical topic to address this issue, yet, new innovated approaches are required in order to provide help to decision makers. Hence, many interesting- ness measures have been defined to statistically evaluate and filter the association rules. However, these measures present two major problems. On the one hand, they do not allow eliminating irrelevant rules, on the other hand, their abun- dance leads to the heterogeneity of the evaluation results which leads to confusion in decision making. In this paper, we propose a two-winged approach to select statistically in- teresting and semantically incomparable rules. Our statis- tical selection helps discovering interesting association rules without favoring or excluding any measure. The semantic comparability helps to decide if the considered association rules are semantically related i.e comparable. The outcomes of our experiments on real datasets show promising results in terms of reduction in the number of rules

Mapping Out Learning: How Aerobic Exercise, Sex and Alzheimer\u27s Disease Impact Learning

Exercise has the power to ameliorate the outward symptoms of Alzheimer’s Disease (AD) by rescuing hippocampal-dependent learning and memory. The goal of this research was to map out how exercise and sex impact behavioral learning in AD mouse models by looking outside of the traditional measurements in the Morris water maze (MWM), as they fail to describe the process of learning itself. I calculated heading error at maximum velocity, manually categorized search strategy in the MWM across trials, and determined flexibility in the probe trial for transgenic and wild-type mice who were exposed to exercise or control housing. Mice significantly switched from nonspatial to spatial learning strategies over time across all groups, however, only half were using a spatial strategy by the end of the fourth day of testing. There were no group effects on preference for spatial strategy, flexibility in the probe trial, or in decreasing heading error at maximum velocity, though targeted M/TG/CON and F/WT/EX groups displayed a preference for spatial strategy over time. Spatial strategies were superior to all nonspatial strategies in efficiency to the platform but one: thigmotaxis. This particular nonspatial strategy can save cognitive resources by allowing for efficient maze performance without the primary use of the hippocampus, challenging the common thought that the MWM is a hippocampal-dependent task. Moving forward, it is imperative to think more carefully about how the MWM is used to parse out learning, and to better understand advanced aspects of AD and how to overcome challenges to learning and memory

Resilience in the public healthcare supply chain: a theoretical framework for the Moroccan case against covid19

The covid19 pandemic was an opportunity for the healthcare supply chain. The aim of the paper is to build a theoretical base for resilience aspects that should be considered by the Moroccan healthcare supply chain during pandemicsThe covid19 pandemic was an opportunity for the healthcare supply chain. The aim of the paper is to build a theoretical base for resilience aspects that should be considered by the Moroccan healthcare supply chain during pandemic

Estudio, propuesta y desarrollo de componentes avanzados para una PKI Híbrida

Este proyecto tiene como principal objetivo la creación de componentes avanzados, tanto frontend como backend, que permitirán un sistema de registro orientado a usuarios de una Autoridad de Registro PKI Híbrida.This project has as its main objective the creation of advanced components, both frontend and backend, that will allow a registration system oriented to users of a Hybrid PKI Registration Authority

Polyradiculonévrite inflammatoire démyélinisante chronique révélant une thrombocytémie essentielle

La polyradiculonévrite inflammatoire démyélinisante chronique est une affection rare qui se caractérise par une neuropathie sensitivo-motrice démyélinisante, segmentaire et multifocale de mécanisme probablement  dys-immunitaire et répondant à un traitement immunomodulateur. Une étiologie sous jacente est retrouvée dans près de 40 % des cas et peut être infectieuse, auto-immune ou tumorale que ce soit les néoplasies solides ou les hémopathies notamment les gammapathies monoclonales. Nous rapportons une association exceptionnelle de polyradiculonévrite inflammatoire démyélinisante chronique qui révèle une thrombocytémie essentielle.Key words: Polyradiculonévrite, thrombocytémie, affectio

Pediatric Burn Management: Examining Efficacy and Affordability

Our research was led by Kelly Culhane, OTR/L, at California Children Services (CCS), in searching for efficacious and cost-effective occupational therapy treatments, or sequences of treatments, in chronic pediatric (ages 3-21) burn scar management. The primary outcomes following burn scar treatment are to increase functionality, mobility, well-being, and to improve the physical appearance of the scars. Research suggests that exercise, massage, silicon gel, and silicon patches can all be used as occupational therapy treatment for burn scars. Unstructured massages and silicon patches were found to be the most cost-effective solutions, resulting in less itch and scar vascularity, and increased range of motion of the burn scar sites. Additionally, completion of exercise programs were found to lead to fewer surgeries to improve functionality of burn scars. Because burn scars are infrequently seen by pediatric occupational therapists, a website page was created on burn scarring information and treatment for practitioners who may not have much exposure to burn scar treatment. The impact of the website page was measured by counting visits to the site in its two week launch period; the site acquired a total of 107 views in March and April of 2023, with 71 views in March and 36 views in April. Although treatment recommendations were based upon the most current published research, a limitation to this review was the scant number of studies on burn scar treatments, specifically in the pediatric population. Future studies focused on the pediatric population and how they best respond to various burn scar treatments would be beneficial for enhancing evidenced-based interventions