Search results for "Apache"
showing 7 items of 27 documents
Mining Maximal Frequent Patterns in Transactional Databases and Dynamic Data Streams: A Spark-based Approach
2018
Mining maximal frequent patterns (MFPs) in transactional databases (TDBs) and dynamic data streams (DDSs) is substantially important for business intelligence. MFPs, as the smallest set of patterns, help to reveal customers’ purchase rules and market basket analysis (MBA). Although, numerous studies have been carried out in this area, most of them extend the main-memory based Apriori or FP-growth algorithms. Therefore, these approaches are not only unscalable but also lack parallelism. Consequently, ever increasing big data sources requirements cannot be met. In addition, mining performance in some existing approaches degrade drastically due to the presence of null transactions. We, therefo…
Coupling dynamic simulation and interactive multiobjective optimization for complex problems: An APROS-NIMBUS case study
2014
Dynamic process simulators for plant-wide process simulation and multiobjective optimization tools can be used by industries as a means to cut costs and enhance profitability. Specifically, dynamic process simulators are useful in the process plant design phase, as they provide several benefits such as savings in time and costs. On the other hand, multiobjective optimization tools are useful in obtaining the best possible process designs when multiple conflicting objectives are to be optimized simultaneously. Here we concentrate on interactive multiobjective optimization. When multiobjective optimization methods are used in process design, they need an access to dynamic process simulators, …
On Apache Log4j2 Exploitation in Aeronautical, Maritime, and Aerospace Communication
2022
Apache Log4j2 is a prevalent logging library for Java-based applications. In December 2021, several critical and high-impact software vulnerabilities, including CVE-2021-44228, were publicly disclosed, enabling remote code execution (RCE) and denial of service (DoS) attacks. To date, these vulnerabilities are considered critical and the consequences of their disclosure far-reaching. The vulnerabilities potentially affect a wide range of internet of things (IoT) devices, embedded devices, critical infrastructure (CI), and cyber-physical systems (CPSs). In this paper, we study the effects and feasibility of exploiting these vulnerabilities in mission-critical aviation and maritime environment…
Grenzen der Indikation zur Intensivtherapie bei chirurgischen Patienten — Prospektive Untersuchung zur Bedeutung von Scores (APACHE II, HIS, TISS) un…
1993
The aim of the study was to describe the objective factors (clinical values, scores, basic and concomitant illnesses) that could possibly justify the omittance of intensive therapy. In a prospective study in 169 postoperative intensive therapy patients, it was shown that scores (APACHE II, HIS, TISS) serum-lactate and serum creatinine were significant prognostic parameters for lethal outcome, while these parameters had no effect on the prognosis after patients were discharged. Primarily, the presence of a malignant disease and/or the age of the patient were decisive. By considering these factors for lethal outcome and long-term prognosis, it is possible to identify patients who do not benef…
Association between increased arterial stiffness and clinical outcomes in patients with early sepsis: a prospective observational cohort study.
2019
Background Conduit arteries, especially the aorta, play a major role in ensuring efficient cardiac function and optimal microvascular flow due to their viscoelastic properties. Studies in animals and on isolated arteries show that acute systemic inflammation can cause aortic stiffening which affects hemodynamic efficiency. Carotid-femoral pulse wave velocity, a measure of aortic stiffness, may be useful as a bedside investigational method in patients with early sepsis admitted to intensive care, as circulatory changes can lead to multiple organ failure and increased mortality. This study aims to investigate arterial stiffness in early sepsis and its association with clinical outcomes. Metho…
Predicción de la mortalidad de pacientes con enfermedad hematológica que requieren ingreso en la Unidad de Cuidados Intensivos
2013
HIPÓTESIS: Existen variables clínicas e índices pronósticos que permiten establecer la probabilidad de muerte en pacientes con neoplasias hematológicas cuando se propone su ingreso en la Unidad de Cuidados Intensivos (UCI). La valoración evolutiva de estos índices pronósticos puede aumentar su potencia predictora y tener utilidad en la toma de decisiones tras el ingreso en UCI.OBJETIVOS:Principales 1)Identificar los factores de riesgo que puedan predecir la mortalidad de los enfermos hematológicos que requieren ingreso en UCI.2)Validar los índices pronósticos APACHE II, ICMM, SOFA y valoración evolutiva del índice SOFA en este grupo de pacientes.Secundarios: Analizar la mortalidad de los en…
Scalable implementation of dependence clustering in Apache Spark
2017
This article proposes a scalable version of the Dependence Clustering algorithm which belongs to the class of spectral clustering methods. The method is implemented in Apache Spark using GraphX API primitives. Moreover, a fast approximate diffusion procedure that enables algorithms of spectral clustering type in Spark environment is introduced. In addition, the proposed algorithm is benchmarked against Spectral clustering. Results of applying the method to real-life data allow concluding that the implementation scales well, yet demonstrating good performance for densely connected graphs. peerReviewed