Search results for "Distances"

Ureteru akmeņu endoskopiskās ārstēšanas iespējas

2016

Ievads: Urīnakmeņu incidence pasaulē ir 1500-2000 gadījumi uz miljonu iedzīvotāju. Pēc statistikas datiem nierakmeņu izplatības rādītāji svārstās no 1% līdz 20%. Šī slimība ir novērojama pacientiem pārsvarā no 30 līdz 50 gadu vecumā. Pēc Eiropas Urologu asociācijas 2012. gada datiem nierakmeņu slimību sastop aptuveni 20% gadījumu no visām uroloģiskajām saslimšanām. Materiāli un metodes: Retrospektīvā pētījumā tika iekļauti 123 pacienti ar urolitiāzi, kuri ārstējās Paula Stradiņa klīniskā universitātes slimnīcā 4. uroloģijas nodaļā laika posmā no 2013. gada 1. janvāra līdz 2014. gada 31. decembrim. Tiek ievākti un analizēti sekojošie pacientu dati: pētījumu objekta skaits; vecums un to dzimu…

Distances kredītu izplatība Latvijā

2018

Bakalaura darba mērķis ir, pamatojoties uz distances kredītu izplatības un piemērošanas izpēti, izstrādāt priekšlikumus to negatīvo seku novēršanai. Darbā tiek pētīta distances kredītu izpaltība laika posmā no 2007. līdz 2017.gadam, īpaši pētot tieši laika posmu no 2016. līdz 2017. gadam, tādā veidā padziļināti izpētot tieši šī brīža situāciju distances kreditēšanas nozarē Latvijā. Bakalaura darbā sniegta distances kredītu izsniedzēju analīze, kā arī distances kreditēšanas attīstību ietekmējošie faktori. Tāpat arī doti secinājumi par distances kredīta tirgus attīstību Latvijā un izvirzīti priekšlikumi problēmu risināšanai.

A Preliminary Analysis of a New Chandra Observation (ObsID 6148) of Cir X-1

2008

We present the preliminary spectral analysis of a 25 ks long Chandra observation of the peculiar source Cir X–1 near the periastron passage. We estimate more precise coordinates of the source compatible with the optical and radio counterpart coordinates. We detect emission lines associated to Mg XII, Si XIII, Si XIV, S XV, S XVI Ar XVII, Ar XVIII, Ca XIX, Ca XX, Fe XXV, Fe XXVI showing a redshift of 470 km s−1. The more intense emission features at 6.6 keV show a double‐peaked shape that can be modelled with two or three Gaussian lines.

Remarks about the Besicovitch Covering Property in Carnot groups of step 3 and higher

2016

International audience

The ALHAMBRA survey: Discovery of a faint QSO at z = 5.41

2013

[Aims]: We aim to illustrate the potentiality of the Advanced Large, Homogeneous Area, Medium-Band Redshift Astronomical (ALHAMBRA) survey to investigate the high-redshift universe through the detection of quasi stellar objects (QSOs) at redshifts higher than 5. [Methods]: We searched for QSOs candidates at high redshift by fitting an extensive library of spectral energy distributions-including active and non-active galaxy templates, as well as stars-to the photometric database of the ALHAMBRA survey (composed of 20 optical medium-band plus the 3 broad-band JHKs near-infrared filters). [Results]: Our selection over ≈1 square degree of ALHAMBRA data (∼1/4 of the total area covered by the sur…

Novel Combinatorial and Information-Theoretic Alignment-Free Distances for Biological Data Mining

2010

Among the plethora of alignment-free methods for comparing biological sequences, there are some that we have perceived as representative of the novel techniques that have been devised in the past few years and as being of a fundamental nature and of broad interest and applicability, ranging from combinatorics to information theory. In this chapter, we review these alignment free methods, by presenting both their mathematical definitions and the experiments in which they are involved in.

Item weighted Kemeny distance for preference data

2019

Preference data represent a particular type of ranking data where a group of people gives their preferences over a set of alternatives. The traditional metrics between rankings don’t take into account that the importance of elements can be not uniform. In this paper the item weighted Kemeny distance is introduced and its properties demonstrated.

A gallery of Chua's Attractors - Part V

2007

The alhambra photometric system

2010

Aparicio Villegas, Teresa et al.

Spatio‐temporal classification in point patterns under the presence of clutter

2019

We consider the problem of detection of features in the presence of clutter for spatio-temporal point patterns. In previous studies, related to the spatial context, Kth nearest-neighbor distances to classify points between clutter and features. In particular, a mixture of distributions whose parameters were estimated using an expectation-maximization algorithm. This paper extends this methodology to the spatio-temporal context by considering the properties of the spatio-temporal Kth nearest-neighbor distances. For this purpose, we make use of a couple of spatio-temporal distances, which are based on the Euclidean and the maximum norms. We show close forms for the probability distributions o…