Filtyp
Presently the telecom industry is going through a massive shift in technology. In the business to business environment regarding delivery and service of fixed telephony, the traditional circuit-switched PBX (private branch exchange) technology is successively replaced by a new Ip-based (Internet protocol) PBX technology. The new way of switching voice-calls doesn't demand a separate infrastruc
Objective: The aims of this study are to validate infant vaccination data in the Swedish Vaccination Register (SVR) to the Swedish administrative coverage reports, and to assess differences in register-based vaccination coverage estimates between providers using different data reporting methods. Methods: The study population included all infants born in Sweden with a Swedish Personal Identity Numb
The resonance lines of helium in the Sun are several times stronger than expected, relative to lines of other ions. To explore the origins of this "helium enhancement,'' we have studied data from the SUMER, CDS, MDI, and EIT instruments on the Solar and Heliospheric Observatory (SOHO). Time series data obtained in a quiet region and a coronal hole indicate that the spatio-temporal properties of th
Mood is a pervasive affective state that influences cognition, including language processing, where it functions as part of the pragmatic context. When linguistic expressions carry emotional valence, mood may amplify or attenuate their perceived emotional nature. Motivated by inconsistent findings on the timing and nature of mood and valence interactions, we conducted an EEG study to investigate w
We evaluate the efficiency of the maximum likelihood estimator introduced by Aki (1965), using synthetic datasets exhibiting diverse but well defined properties. The deviation of the b-value estimation from its real value is quantified by Monte Carlo simulations as a function of catalogue features and data properties such as the sample size, the magnitude uncertainties distribution, the round-off
Drought is one of the most costly disasters worldwide. The complexity of nonlinear relationships between drought variables and drought severity during drought events poses significant challenges for accurate drought monitoring and prediction. Drought research in Morocco has been dominated by linear and conventional statistical methods, such as the pearson correlation. Although some earlier researc
This paper describes a structural reliability analysis utilizing monitoring data in the ultimate limit state with consideration of the uncertainties of the monitoring procedure. For this purpose the uncertainties of the monitoring data are modeled utilizing a new framework for the determination of measurement uncertainties. The approach is based on a process equation and statistical models of obse
The microarray technique requires the organization and analysis of vast amounts of data. These data include information about the samples hybridized, the hybridization images and their extracted data matrices, and information about the physical array, the features and reporter molecules. We present a web-based customizable bioinformatics solution called BioArray Software Environment (BASE) for the
Astronomical spectroscopy has recently expanded into the near-infrared (nIR) wavelength region, raising the demands on atomic transition data. The interpretation of the observed spectra largely relies on theoretical results, and progress towards the production of accurate theoretical data must continuously be made. Spectrum calculations that target multiple atomic states at the same time are by no
Dynamic susceptibility-contrast (DSC) MRI requires deconvolution to retrieve the tissue residue function R(t) and the cerebral blood flow (CBF). In this study, deconvolution of time-series data was performed by wavelet-transform-based denoising combined with the Fourier transform (FT). Traditional FT-based deconvolution of noisy data requires frequency-domain filtering, often leading to excessive
This paper examines the sufficiency of a trading method based on singular value decomposition (SVD) of past stock prices. The SVD method is frequently used as a tool to reduce data noise, compress big-data, and analyse data components. Hence, the method is well suited to form a ground for a predictive tool of price developments. From the predicted pattern, a strategy was formed by construction of
Electroencephalography (EEG) is a medical technique for measuring brain activity through several channels connected to the scalp. Interpreting EEG data is a difficult problem because of the large amount of noise contained in the data. Using spectral methods on EEG data can improve the ability to interpret the data, especially using a time-frequency method called the scaled reassigned spectrogram w
Satellite data is useful for making inference on large areas, but there are plenty of problems associated with the technology. The observation errors need to be carefully modelled in order to make inference from the data. In addition, the large data-sets involved makes straight-forward computations infeasible. This thesis explores a non-Gaussian noise structure, and implements a modified EM algorit
The experiment at Argonne National Laboratory aimed to study the fusion-evaporation reaction following the collision of a high-energy particle beam of 36Ar with a stationary target of 24Mg. This paper outlines the creation and implementation of an automated re-calibration procedure for the high-purity Germanium detectors comprising the Gammasphere array used for γ-ray spectroscopy in this experime
Purpose: The purpose of this meta-analysis is to study the impact of varicocele repair in the largest cohort of infertile males with clinical varicocele by including all available studies, with no language restrictions, comparing intra-person conventional semen parameters before and after the repair of varicoceles. Materials and Methods: The meta-analysis was performed according to PRISMA-P and MO
Brain activation mapping using functional magnetic resonance imaging (fMRI) has been extensively studied in brain gray matter (GM), whereas in large disregarded for probing white matter (WM). This unbalanced treatment has been in part due to controversies in relation to the nature of the blood oxygenation level-dependent (BOLD) contrast in WM and its detectability. However, an accumulating body of
