Search results for "75"

Enhancement of cranial nerves in Lyme neuroborreliosis: incidence and correlation with clinical symptoms and prognosis

2022

Abstract Purpose Symptoms of cranial neuritis are a common presentation of Lyme neuroborreliosis (LNB). Imaging studies are scarce and report contradictory low prevalence of enhancement compared to clinical studies of cranial neuropathy. We hypothesized that MRI enhancement of cranial nerves in LNB is underreported, and aimed to assess the prevalence and clinical impact of cranial nerve enhancement in early LNB. Methods In this prospective, longitudinal cohort study, 69 patients with acute LNB were examined with MRI of the brain. Enhancement of cranial nerves III–XII was rated. MRI enhancement was correlated to clinical findings of neuropathy in the acute phase and after 6 months. Results T…

"Table 8" of "Measurement of inclusive production of light meson resonances in hadronic decays of the Z0"

1993

Numerical values of data supplied by J. Augustin.

Evolution of OO Methods: the unified case

1997

This paper takes an evaluative look into OO methods and especially the evolution of the new snified method from its ancestors, OMT and OODA. The paper ries to classify the components of the earlier ethods and identify the parts that have been taken into the Unified ethod. The research applies the method metrics approach. For the sake of compactness we limit ourselves to the class diagram technique of all methods. We make observations about the number of concepts in each variation and show how the metrics can be used to analyse the changes in the techniques.

Optimizing the level of service quality of a bike-sharing system

2016

Public bike-sharing programs have been deployed in hundreds of cities worldwide, improving mobility in a socially equitable and environmentally sustainable way. However, the quality of the service is drastically affected by imbalances in the distribution of bicycles among stations. We address this problem in two stages. First, we estimate the unsatisfied demand (lack of free lockers or lack of bicycles) at each station for a given time period in the future and for each possible number of bicycles at the beginning of the period. In a second stage, we use these estimates to guide our redistribution algorithms. Computational results using real data from the bike-sharing system in Palma de Mall…

Modeling and querying facts with period timestamps in data warehouses

2019

Abstract In this paper, we study various ways of representing and querying fact data that are time-stamped with a time period in a data warehouse. The main focus is on how to represent the time periods that are associated with the facts in order to support convenient and efficient aggregations over time. We propose three distinct logical models that represent time periods as sets of all time points in a period (instant model), as pairs of start and end time points of a period (period model), and as atomic units that are explicitly stored in a new period dimension (period∗ model). The period dimension is enriched with information about the days of each period, thereby combining the former tw…

Control points deployment in an Intelligent Transportation System for monitoring inter-urban network roadway

2022

Abstract The constant evolution of transportation systems and traffic in developing countries is nowadays confronted with a problem of road safety and therefore of a high accident rate, especially in the context of inter-urban road transport. In this work, we propose a communication architecture for an Intelligent Transport System (ITS) to provide surveillance in an inter-urban transport network in the context of developing countries. We introduce two types of control points: Relay Control Points (RCP) and Treatment Control Points (TrCP). We also designed two multi-objective models for the deployment of these points. In order to ensure good coverage, to minimize the cost of installation and…

Predicting lorawan behavior. How machine learning can help

2020

Large scale deployments of Internet of Things (IoT) networks are becoming reality. From a technology perspective, a lot of information related to device parameters, channel states, network and application data are stored in databases and can be used for an extensive analysis to improve the functionality of IoT systems in terms of network performance and user services. LoRaWAN (Long Range Wide Area Network) is one of the emerging IoT technologies, with a simple protocol based on LoRa modulation. In this work, we discuss how machine learning approaches can be used to improve network performance (and if and how they can help). To this aim, we describe a methodology to process LoRaWAN packets a…

José Capuz Mamano (1884-1964), maestro de Helena Sorolla García (1895-1975)

2014

Zvaigžņotā Debess: 2008, Rudens

2008

Latvijas Zinātņu akadēmija, Latvijas Universitāte

Zvaigžņotā Debess: 2017, Vasara (236)

2017

Contents: In MEMORIAM of ANDREJS ALKSNIS: Curriculum Vitae of Andrejs Alksnis (1928-2017) ; Condolences and Parting Words ; List of Publications by Professor Andrejs Alksnis ; “ZVAIGŽŅOTĀ DEBESS” FORTY YEARS AGO: J.Francmanis. Enigma of Saturn’s Rings Brightness (abridged) ; E.Mūkins. Crater on Mercury Named After Rainis (abridged) ; Ā.Alksne. The Starry Sky in the Summer of 1977 (abridged) ; DEVELOPMENTS in SCIENCE: K.Schwartz. Early Universe Through the Eyes of Telescopes ; DISCOVERIES: K.Schwartz. Dwarf Galaxy Henize 2-10 with a Massive Black Hole ; J.Kuzmanis. Hot Topic – FRB 121102 ; SPACE RESEARCH and EXPLORATION: J.Kalvāns. Are Earth's Oceans of Interstellar Origin? ; J.Jaunbergs. ‘D…