5,361 research outputs found
Real-time detection of uncalibrated sensors using Neural Networks
Nowadays, sensors play a major role in several contexts like science,
industry and daily life which benefit of their use. However, the retrieved
information must be reliable. Anomalies in the behavior of sensors can give
rise to critical consequences such as ruining a scientific project or
jeopardizing the quality of the production in industrial production lines. One
of the more subtle kind of anomalies are uncalibrations. An uncalibration is
said to take place when the sensor is not adjusted or standardized by
calibration according to a ground truth value. In this work, an online
machine-learning based uncalibration detector for temperature, humidity and
pressure sensors was developed. This solution integrates an Artificial Neural
Network as main component which learns from the behavior of the sensors under
calibrated conditions. Then, after trained and deployed, it detects
uncalibrations once they take place. The obtained results show that the
proposed solution is able to detect uncalibrations for deviation values of 0.25
degrees, 1% RH and 1.5 Pa, respectively. This solution can be adapted to
different contexts by means of transfer learning, whose application allows for
the addition of new sensors, the deployment into new environments and the
retraining of the model with minimum amounts of data
Alveolar recruitment with non-invasive mechanical ventilation (C-PAP) in patients with nonobstructive respiratory failure
Entrenamiento de las señales corticales a través de un sistema BMI-EEG, evolución e intervención. A propósito de un caso = Training cortical signals by means of a BMI-EEG system, its evolution and intervention. A case report
INTRODUCTION:
In the last years, new technologies such as the brain-machine interfaces (BMI) have been incorporated in the rehabilitation process of subjects with stroke. These systems are able to detect motion intention, analyzing the cortical signals using different techniques such as the electroencephalography (EEG). This information could guide different interfaces such as robotic devices, electrical stimulation or virtual reality.
CASE REPORT:
A 40 years-old man with stroke with two months from the injury participated in this study. We used a BMI based on EEG. The subject's motion intention was analyzed calculating the event-related desynchronization. The upper limb motor function was evaluated with the Fugl-Meyer Assessment and the participant's satisfaction was evaluated using the QUEST 2.0. The intervention using a physical therapist as an interface was carried out without difficulty.
CONCLUSIONS:
The BMI systems detect cortical changes in a subacute stroke subject. These changes are coherent with the evolution observed using the Fugl-Meyer Assessment
Smart Beam Management for Vehicular Networks Using ML
[EN] The mmWave frequencies will be widely used in future
vehicular communications. At these frequencies, the radio
channel becomes much more vulnerable to slight changes in the
environment like motions of the device, reflections or blockage. In
high mobility vehicular communications the rapidly changing
vehicle environments and the large overheads due to frequent
beam training are the critical disadvantages in developing these
systems at mmWave frequencies. Hence, smart beam
management procedures are desired to establish and maintain the
radio channels. In this paper, we propose that using the positions
and respective velocities of the vehicles in the dynamic selection
of the beam pair, and then adapting to the changing environments
using ML algorithms, can improve both network performance
and communication stability in high mobility vehicular
communications.This work was supported by the Spanish Comision
Interministerial de Ciencia y Tecnologia (CICYT) under
projects TEC2016-78028-C3-1-P and MDM2016-O6OO,
Catalan Research Group 2017 SGR 21, and Industrial
Doctorate programme (2018-DI-084) of Generalitat de
Catalunya.Bharath-Reddy, G.; Montero, L.; Perez-Romero, J.; Molins-Benlliure, J.; Ferrando Bataller, M.; Molina, J.; Romeu, J.... (2021). Smart Beam Management for Vehicular Networks Using ML. Íñigo Cuiñas Gómez. 1-4. http://hdl.handle.net/10251/1910661
Joint scaling laws in functional and evolutionary categories in prokaryotic genomes
We propose and study a class-expansion/innovation/loss model of genome
evolution taking into account biological roles of genes and their constituent
domains. In our model numbers of genes in different functional categories are
coupled to each other. For example, an increase in the number of metabolic
enzymes in a genome is usually accompanied by addition of new transcription
factors regulating these enzymes. Such coupling can be thought of as a
proportional "recipe" for genome composition of the type "a spoonful of sugar
for each egg yolk". The model jointly reproduces two known empirical laws: the
distribution of family sizes and the nonlinear scaling of the number of genes
in certain functional categories (e.g. transcription factors) with genome size.
In addition, it allows us to derive a novel relation between the exponents
characterising these two scaling laws, establishing a direct quantitative
connection between evolutionary and functional categories. It predicts that
functional categories that grow faster-than-linearly with genome size to be
characterised by flatter-than-average family size distributions. This relation
is confirmed by our bioinformatics analysis of prokaryotic genomes. This proves
that the joint quantitative trends of functional and evolutionary classes can
be understood in terms of evolutionary growth with proportional recipes.Comment: 39 pages, 21 figure
Thickness-Dependent Differential Reflectance Spectra of Monolayer and Few-Layer MoS2, MoSe2, WS2 and WSe2
The research field of two dimensional (2D) materials strongly relies on
optical microscopy characterization tools to identify atomically thin materials
and to determine their number of layers. Moreover, optical microscopy-based
techniques opened the door to study the optical properties of these
nanomaterials. We presented a comprehensive study of the differential
reflectance spectra of 2D semiconducting transition metal dichalcogenides
(TMDCs), MoS2, MoSe2, WS2, and WSe2, with thickness ranging from one layer up
to six layers. We analyzed the thickness-dependent energy of the different
excitonic features, indicating the change in the band structure of the
different TMDC materials with the number of layers. Our work provided a route
to employ differential reflectance spectroscopy for determining the number of
layers of MoS2, MoSe2, WS2, and WSe2.Comment: Main text (3 Figures) and Supp. Info. (23 Figures
Use of archival versus newly collected tumor samples for assessing PD-L1 expression and overall survival : an updated analysis of KEYNOTE-010 trial
Background: In KEYNOTE-010, pembrolizumab versus docetaxel improved overall survival (OS) in patients with programmed death-1 protein (PD)-L1-positive advanced non-small-cell lung cancer (NSCLC). A prespecified exploratory analysis compared outcomes in patients based on PD-L1 expression in archival versus newly collected tumor samples using recently updated survival data.
Patients and methods: PD-L1 was assessed centrally by immunohistochemistry (22C3 antibody) in archival or newly collected tumor samples. Patients received pembrolizumab 2 or 10 mg/kg Q3W or docetaxel 75 mg/m2 Q3W for 24 months or until progression/intolerable toxicity/other reason. Response was assessed by RECIST v1.1 every 9 weeks, survival every 2 months. Primary end points were OS and progression-free survival (PFS) in tumor proportion score (TPS) 50% and 1%; pembrolizumab doses were pooled in this analysis.
Results: At date cut-off of 24 March 2017, median follow-up was 31 months (range 23-41) representing 18 additional months of follow-up from the primary analysis. Pembrolizumab versus docetaxel continued to improve OS in patients with previously treated, PD-L1-expressing advanced NSCLC; hazard ratio (HR) was 0.66 [95% confidence interval (CI): 0.57, 0.77]. Of 1033 patients analyzed, 455(44%) were enrolled based on archival samples and 578 (56%) on newly collected tumor samples. Approximately 40% of archival samples and 45% of newly collected tumor samples were PD-L1 TPS 50%. For TPS 50%, the OS HRs were 0.64 (95% CI: 0.45, 0.91) and 0.40 (95% CI: 0.28, 0.56) for archival and newly collected samples, respectively. In patients with TPS 1%, OS HRs were 0.74 (95% CI: 0.59, 0.93) and 0.59 (95% CI: 0.48, 0.73) for archival and newly collected samples, respectively. In TPS 50%, PFS HRs were similar across archival [0.63 (95% CI: 0.45, 0.89)] and newly collected samples [0.53 (95% CI: 0.38, 0.72)]. In patients with TPS 1%, PFS HRs were similar across archival [0.82 (95% CI: 0.66, 1.02)] and newly collected samples [0.83 (95% CI: 0.68, 1.02)].
Conclusion: Pembrolizumab continued to improve OS over docetaxel in intention to treat population and in subsets of patients with newly collected and archival samples
Peptide characterization of mature fluorotic and control human enamel
Exposure to high fluoride levels during amelogenesis causes enamel fluorosis. This study aimed to determine and compare the amino acid sequences in the enamel of fluorotic and control teeth. This investigation included enamel samples obtained from erupted and non-erupted third molars with either TF grade 4-6 (n=7) fluorosis or no sign of fluorosis (controls, n=7). The samples were kept frozen at -20 °C until protein extraction. Samples were etched and processed with a cocktail of proteinase inhibitors and immediately analyzed. Matrix Assisted Laser Desorption/Ionization-Time-Of-Flight/Time-of-Flight Mass Spectrometry (MALDI-TOF/TOF) followed by MASCOT search aided the peptides analysis. The more abundant peptides bore the N-terminal amelogenin sequences WYQSIRPPYP (which is specific for the X-encoded amelogenin) and MPLPPHPGHPGYINF (which does not show sexual dimorphism) were not different in control or fluorotic enamel. There was no missing proteolytic cleavage in the fluorotic samples, which suggested that the increased amount of protein described in fluorotic enamel did not stem from the decreased ability of proteinases to cleave the proteins in humans. This study showed how to successfully obtain peptide from superficial enamel. A relatively low number of teeth was sufficient to provide good data on the actual peptides found in mature enamel2716671CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESPSem informaçãoSem informaçãoExposição a altos níveis de flúor durante a amelogênese causa fluorose no esmalte. Este estudo tem como objetivo determinar e comparar as sequências de aminoácidos presentes no esmalte de dentes controles e fluoróticos. A investigação incluiu amostras de esmalte obtidas de terceiros molares erupcionados e não erupcionados, ambas ou com grau de fluorose TF 4-6 (n=7) ou sem sinais de fluorose (controles, n=7), congelados a -20 oC até a extração das proteínas. As amostras sofreram ataque ácido e foram processadas utilizando um coquetel de inibidores de proteinases, sendo imediatamente analisadas. MALDI-TOF/TOF seguido pela pesquisa com MASCOT foram utilizados para a análise dos peptídeos. Os peptídeos mais abundantes foram das amelogeninas com sequências N-terminal WYQSIRPPYP (que é codificada especificamente pela amelogenina X) e MPLPPHPGHPGYINF (que não apresenta dimorfismo sexual algum), não havendo diferenças entre dentes fluoróticos e controles. Nenhuma alteração na proteólise ocorreu nas amostras fluoróticas, o que sugere que o aumento na quantidade de proteínas existentes nas amostras fluoróticas não está correlacionada a habilidade das proteinases em clivar as proteínas em humanos. Este estudo mostrou como extrair com sucesso peptídeos do esmalte superficial. Um número relativamente baixo de dentes foram suficientes para se obter ótimos dados a respeito de peptídeos encontrados no esmalte madur
Observations of the Cosmic Microwave Background and Galactic Foregrounds at 12-17 GHz with the COSMOSOMAS Experiment
(Abridged) We present the analysis of the first 18 months of data obtained
with the COSMOSOMAS experiment at the Teide Observatory (Tenerife). Three maps
have been obtained at 12.7, 14.7 and 16.3 GHz covering 9000 square degrees each
with a resolution of ~1 degree and with sensitivities 49, 59 and 115 muK per
beam respectively. These data in conjuction with the WMAP first year maps have
revealed that the Cosmic Microwave Background (CMB) is the dominant
astronomical signal at high galatic latitude in the three COSMOSOMAS channels
with an average amplitude of 29.7+/- 1.0 \muK (68% c.l. not including
calibration errors). This value is in agreement with the predicted CMB signal
in the COSMOSOMAS maps using the best fit Lambda-CDM model to the WMAP power
spectrum. Cross-correlation of COSMOSOMAS data with the DIRBE map at 100 \mu m
shows the existence of a common signal with amplitude 7.4+/- 1.1, 7.5+/- 1.1,
and 6.5+/-2.3 muK in the 12.7, 14.7 and 16.3 GHz COSMOSOMAS maps at
|b|>30^\deg. Using the WMAP data we find this DIRBE correlated signal rises
from high to low frequencies flattening below ~20 GHz. At higher galactic
latitudes the average amplitude of the correlated signal with the DIRBE maps
decreases slightly. The frequency behaviour of the COSMOSOMAS/WMAP correlated
signal with DIRBE is not compatible with the expected tendency for thermal
dust. A study of the H-alpha emission maps do not support free-free as a major
contributor to that signal. Our results provide evidence of a new galactic
foreground with properties compatible with those predicted by the spinning dust
models.Comment: 11 pages, 21 figures. Submitted to MNRAS. For paper with figures at
full resolution, see http://www.iac.es/project/cmb/cosmosomas
First Report and Comparative Genomics Analysis of a blaOXA-244-Harboring Escherichia coli Isolate Recovered in the American Continent
The carbapenemase OXA-244 is a derivate of OXA-48, and its detection is very difficult in laboratories. Here, we report the identification and genomic analysis of an Escherichia coli isolate (28Eco12) harboring the blaOXA-244 gene identified in Colombia, South America. The 28Eco12 isolate was identified during a retrospective study, and it was recovered from a patient treated in Colombia. The complete nucleotide sequence was established using the PacBio platform. A comparative genomics analysis with other blaOXA-244–harboring Escherichia coli strains was performed. The 28Eco12 isolate belonged to sequence type (ST) 38, and its genome was composed of two molecules, a chromosome of 5,343,367 bp and a plasmid of 92,027 bp, which belonged to the incompatibility group IncY and did not harbor resistance genes. The blaOXA-244 gene was chromosomally encoded and mobilized by an ISR1-related Tn6237 composite transposon. Notably, this transposon was inserted and located within a new genomic island. To our knowledge, this is the first report of a blaOXA-244–harboring Escherichia coli isolate in America. Our results suggest that the introduction of the OXA-244-producing E. coli isolate was through clonal expansion of the ST38 pandemic clone. Other isolates producing OXA-244 could be circulating silently in America.</jats:p
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