Search results for "STING"
showing 10 items of 3756 documents
Usability challenges in digital learning solutions
2015
Usability is a key element in successful software. Ensuring the technical usability of a learning solution enables users to focus on their main task, learning. The purpose of this paper is to demonstrate the results of heuristic usability evaluations of digital learning solutions. Heuristic evaluations were conducted on 24 digital learning solutions from one country (Finland) and two country groups (Asian countries and Spanish speaking countries) concentrating on the usability of the user interface of each evaluated solution. The main results of this study indicate that a few heuristics cover the majority of all usability problems (UPs) observed in learning solutions, but these heuristics c…
Effectiveness of screening for known mutations in Sicilian patients with "probable" familial hypercholesterolemia.
2002
Background and Aim: More than 750 mutations in the low-density lipoprotein (LDL) receptor gene are currently known to cause familial hypercholesterolemia (FH), but the array of mutations varies considerably in different populations. The definition of essentially all the LDL receptor gene mutations in a population is therefore a prerequisite for the implementation of nation-wide genetic testing for FH. Methods and Results: In this study, a screening strategy based on PCR-enzymatic digestion and PCR-allele specific hybridisation procedures was used to evaluate the frequency distributions of 11 known mutations in a cohort of 214 unrelated subjects meeting the diagnostic criteria of "probable" …
Lateral flow assays (LFA) as an alternative medical diagnosis method for detection of virus species: The intertwine of nanotechnology with sensing st…
2021
Viruses are responsible for multiple infections in humans that impose huge health burdens on individuals and populations worldwide. Therefore, numerous diagnostic methods and strategies have been developed for prevention, management, and decreasing the burden of viral diseases, each having its advantages and limitations. Viral infections are commonly detected using serological and nucleic acid-based methods. However, these conventional and clinical approaches have some limitations that can be resolved by implementing other detector devices. Therefore, the search for sensitive, selective, portable, and costless approaches as efficient alternative clinical methods for point of care testing (P…
Combining Real-Time Segmentation and Classification of Rehabilitation Exercises with LSTM Networks and Pointwise Boosting
2020
Autonomous biofeedback tools in support of rehabilitation patients are commonly built as multi-tier pipelines, where a segmentation algorithm is first responsible for isolating motion primitives, and then classification can be performed on each primitive. In this paper, we present a novel segmentation technique that integrates on-the-fly qualitative classification of physical movements in the process. We adopt Long Short-Term Memory (LSTM) networks to model the temporal patterns of a streaming multivariate time series, obtained by sampling acceleration and angular velocity of the limb in motion, and then we aggregate the pointwise predictions of each isolated movement using different boosti…
El discurso pseudopolítico de la segunda pantalla. #ElDebateEnRTVE visto a través de sus prosumers
2020
Introduction: Our object of analysis is the conversation held on Twitter in one of the election debates in the campaign in the Spanish General Elections of April 28th, 2019; precisely, the one that took place on April 22 on the public broadcasting corporation Radiotelevision Espanola among the leaders of the four main political parties: the ruling Socialists, the conservative People’s Party (PP), the centre-right Ciudadanos and the left-wing Unidas-Podemos. Methodology: The methodology used in the work is the Pragmatic Discourse Analysis, and quantitative and qualitative analysis techniques are used. The data was coded and analyzed with Atlas.ti software. For the analysis, a total of 1000 t…
Maigās un stingrās varas instrumentu izmantošana cīņā pret terorismu Francijā kopš 2015. gada
2018
Šī maģistra darba tēma ir „Maigās un stingrās varas instrumentu izmantošana cīņā pret terorismu Francijā kopš 2015. gada”. Pētījuma mērķis ir noteikt Francijas pretterorisma pieeju raksturojošās iezīmes un attīstības tendences kopš 2015. gada, pārbaudot, kāda loma tajā bijusi maigās un stingrās varas instrumentiem. Maģistra darbā izvirzītā hipotēze ir: Francijas pretterorisma darbībās kopš 2015. gada dominē stingrajai varai raksturīgi instrumenti. Pētījuma teorētiskajā daļā definēti terorisma, maigās un stingrās varas jēdzieni, kā arī raksturota mūsdienu terorisma iedaba. Empīriskajā daļā apkopoti un analizēti dati par musulmaņu kopienas statusu un integrāciju Francijas sabiedrībā, radikali…
Improving the prediction of air pollution peak episodes generated by urban transport networks
2016
Abstract This paper illustrates the early results of ongoing research developing novel methods to analyse and simulate the relationship between trasport-related air pollutant concentrations and easily accessible explanatory variables. The final scope is to integrate the new models in traditional traffic management support systems for a sustainable mobility of road vehicles in urban areas. This first stage concerns the relationship between the hourly mean concentration of nitrogen dioxide (NO2) and explanatory factors reflecting the NO2 mean level one hour back, along with traffic and weather conditions. Particular attention is given to the prediction of pollution peaks, defined as exceedanc…
Using Macroelement Content to Characterize Surficial Water Quality of Artificial Reservoirs
2021
Abstract The quality of surface waters in the territory of Poland, despite the implemented remedial measures, is mostly classified as bad. This article presents the results of research on the composition of water macroelements in 24 artificial reservoirs located in Opole province (southern Poland), searching for the reasons behind their pollution. Concentrations of the anions F−, Cl−, Br−, NO2−, NO3−, PO43− and SO42− and cations Na+, NH4+, K+, Mg2+ and Ca2+ were taken into account. An analysis of seasonal changes was carried out and, on the example of a dam reservoir (Turawa Big Reservoir), a multi-point analysis of the distribution of ion concentrations in water at the reservoir surface w…
Three Hours Ahead Prevision of SO2 Pollutant Concentration Using an Elman Neural based Forecaster
2008
Abstract Indoor air quality near the industrial site is tightly joined to pollutant concentration level, since outdoor pollution heavily influences air quality and, consequently, inhabitants health. A pollution management system is essential for health protection. Automatic air quality management systems have became an important research issue with strong implications for inhabitants’ health. In this paper an automatic forecaster based on neural networks for SO 2 concentration prevision is proposed. The analyzed area covers different small towns near the industrial site of Priolo, in the south of the world. Among these towns, Melilli was the first town in Italy that was evacuated for high l…
Cationic polyaspartamide-based nanocomplexes mediate siRNA entry and down-regulation of the pro-inflammatory mediator high mobility group box 1 in ai…
2015
Abstract High-mobility group box 1 (HMGB1) is a nonhistone protein secreted by airway epithelial cells in hyperinflammatory diseases such as asthma. In order to down-regulate HMGB1 expression in airway epithelial cells, siRNA directed against HMGB1 was delivered through nanocomplexes based on a cationic copolymer of poly(N-2-hydroxyethyl)- d,l -aspartamide (PHEA) by using H441 cells. Two copolymers were used in these experiments bearing respectively spermine side chains (PHEA-Spm) and both spermine and PEG2000 chains (PHEA-PEG-Spm). PHEA-Spm and PHEA-PEG-Spm derivatives complexed dsDNA oligonucleotides with a w/w ratio of 1 and higher as shown by a gel retardation assay. PHEA-Spm and PHEA-P…