Search results for "Python"
showing 10 items of 160 documents
Biomolecular computers with multiple restriction enzymes
2017
Abstract The development of conventional, silicon-based computers has several limitations, including some related to the Heisenberg uncertainty principle and the von Neumann “bottleneck”. Biomolecular computers based on DNA and proteins are largely free of these disadvantages and, along with quantum computers, are reasonable alternatives to their conventional counterparts in some applications. The idea of a DNA computer proposed by Ehud Shapiro’s group at the Weizmann Institute of Science was developed using one restriction enzyme as hardware and DNA fragments (the transition molecules) as software and input/output signals. This computer represented a two-state two-symbol finite automaton t…
Statistical Explorations and Univariate Timeseries Analysis on COVID-19 Datasets to Understand the Trend of Disease Spreading and Death
2020
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Better numerical approximation by Durrmeyer type operators
2018
The main object of this paper is to construct new Durrmeyer type operators which have better features than the classical one. Some results concerning the rate of convergence and asymptotic formulas of the new operator are given. Finally, the theoretical results are analyzed by numerical examples.
Iterationsverfahren höherer Ordnung in Banach-Räumen
1969
The Newton process for operator equations in say a linear normed complete space converges under certain hypothesis about the Frechet-derivatives of the operator with at least the order two. There are different ways to improve this Newton process. For instance you obtain a process of order three if you add a correction element containing the second Frechet-derivative of the operator [1]. In the following note we will generalize this idea. In a recursive manner -- by adding higher derivatives -- we will construct iterative processes of any orderk (k > 1). A general theorem due toCollatz provides us error estimates for this processes. Last we will illustrate the processes by several examples.
Conditional measures and their applications to fuzzy sets
1991
Abstract Given a ⊥-decomposable measure with respect to a continuous t-conorm, as introduced by the author in an earlier paper (see Section 1), we can construct ⊥-conditional measures as implications. These fulfil a ‘generalized product law’ replacing the product in the classical law by any other strict t-norm ⊥ and turn out to be decomposable with respect to an operation ⊥ V depending on ⊥, ⊥ and the condition set V (Section 2). More general, conditional measures are introduced axiomatically and are shown to be ⊥-conditional measures with respect to some ⊥-decomposable measure (Section 3). ‘Bayesian-like’ models are given which are alternatives to that presented by the author in a recent p…
Control procedural del movimiento en Blender
2017
En un entorno de animación por ordenador, la posición de cualquier objeto en la escena viene dada por sus coordenadas cartesianas, p=(x,y,z). Por tanto, conseguir que un objeto se mueva consistirá en construir una secuencia de posiciones a medida que avanza el tiempo, p(t) = (x(t),y(t),z(t)) En este ejercicio, vamos a conseguir un movimiento que consista en desplazar un objeto de forma procedural.
Challenges of automatic processing of large amount of skin lesion multispectral data
2020
This work will describe the challenges involved in setting up automatic processing for a large differentiated data set. In this study, a multispectral (skin diffuse reflection images using 526nm (green), 663nm (red), and 964nm (infrared) illumination and autofluorescence (AF) image using 405 nm excitation) data set with 756 lesions (3024 images) was processed. Previously, using MATLAB software, finding markers, correctly segmenting images with dark edges and image alignment were the main causes of the problems in automatic data processing. To improve automatic processing and eliminate the use of licensed software, the latter was substituted with the open source Python environment. For more …
Ielejveida iegrauzumu ietekme uz pazemes ūdeņu apriti aktīvās ūdens apmaiņas zonā Latvijā
2016
Maģistra darbā pētīta ielejveida iegrauzumu ietekme uz pazemes ūdeņu apriti aktīvās ūdens apmaiņas zonā Latvijas teritorijā, pielietojot hidroģeoloģisko modelēšanu. Pētījumā veikts pazemes ūdens plūsmas daļiņu aprēķins, izmantojot Python programmēšanas valodu un skriptus. Daļiņu ievades punkti gan laterālā, gan vertikālā virzienā tika definēti 3D hidroģeoloģiskā Baltijas Artēziskā baseina modeļa struktūrā. Rezultāti analizēti un attēloti ar datorprogrammu MS Excel un Qgis 2.14.2. Essen palīdzību. Secināts, ka ielejveida iegrauzumi rada ietekmi uz pazemes ūdens aizsargātību un daļiņu migrācijas ātrumu, laiku un veikto distanci, kas pētāmājā teritorijā būtiski atšķiras.
Grafisku objektu automatizēta salīdzināšana
2019
Grafisku objektu automatizētas salīdzināšanas sistēma izveidota pēc pasūtītāja SIA “FitDex” pieprasījuma. Tās mērķis atvieglot piegrieztņu izstrādes procesu precīzi salīdzinot piegrieztnēs esošos objektus, kas uzrādīti lietotāja pievienotos DXF formāta failos. Tā spēj noteikt, vai abos failos ir atrodami viena tipa objekti, vai tie sakrīt, ja nē – kāda ir to maksimālā novirze. Sistēmas funkcionalitāte piedāvā arī noteikt divu savstarpēji līdzīgu līkņu skaitlisku atbilstību un atgriezt failos uzrādīto līniju garumu. Tā izstrādāta valodā Python (versija 3.7.3) Windows operētājsistēmā. Programmatūra darbināma darbinot skriptu ar komandrindu.
Data Sources and Models
2017
Biological networks rely on the storage and retrieval of data associated to the physical interactions and/or functional relationships among different actors. In particular, the attention may be on the interactions among cellular components, such as proteins, genes, RNA, or for example on phenotype–genotype associations. Data from which biological networks are built are usually stored in public databases, and we provide here a brief summary of the main types of both data and associations, publicly available. Moreover, we also explain how it is possible to construct suitable network models from these associations, focusing on protein–protein interaction networks, gene–disease networks and net…