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Results in Journal Proceedings: 5,260

(searched for: journal_id:(31226))
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Published: 4 September 2020
by MDPI
Proceedings, Volume 54; doi:10.3390/proceedings2020054058

Abstract:
This paper presents a project carried out to use games in therapies for people with cerebral palsy. A Micro:bit board is used to have a friendly interaction between the user and the game. Through a simple interface, the therapist can manage the parameters of the therapy and see the evolution of the user.
Published: 3 September 2020
by MDPI
Proceedings, Volume 54; doi:10.3390/proceedings2020054056

Abstract:
This paper introduces the development of a data center monitoring system based on IoT technologies. The system is meant to work as an administrative tool for system administrators in any environment, but mainly focused on data centers, since it integrates sensor and server status data. We are developing a system that gives a broad view of a data center, integrating server data such as CPU and memory usage or network bandwidth with room health parameters such as temperature, humidity, and power consumption or the presence sensors that indicate if there were people inside the room at the time a certain event occurred. As this is a work in progress, in this paper, we present the state-of-the-art of this subject, as well as what we expect to obtain from this project.
Sciprofile linkRebeca Suárez, Sciprofile linkRicardo Cao, Juan M. Vilar Fernández
Published: 1 September 2020
by MDPI
Proceedings, Volume 54; doi:10.3390/proceedings2020054055

Abstract:
In this work a doubly smoothed probability of default (PD) estimator is proposed based on a smoothed version of the survival Beran’s estimator. The asymptotic properties of both the smoothed survival and PD estimators are proved and their behaviour is analyzed by simulation. The results allow us to conclude that the time variable smoothing reduce the error committed in the PD estimation.
Published: 1 September 2020
by MDPI
Proceedings, Volume 53; doi:10.3390/proceedings2020053020

Abstract:
Physicochemical properties of O/W emulsions containing functional ingredients (high ω-3 fatty acid content, protein, and soluble fiber) from chia seeds with different protein–carbohydrate combinations (sodium caseinate-lactose, sodium caseinate-maltodextrin, and chia protein-rich fraction-maltodextrin) and chia mucilage were studied. Sodium caseinate with lactose or maltodextrin produced O/W emulsions with small droplet size, high uniformity in droplet size distribution, negatively charged droplets (pH 6.5), pseudoplastic behavior, and high physical stability. Emulsions with chia protein-rich fraction presented wider droplet size distribution and higher D3.2 values than the previous ones, recording a Newtonian behavior. The addition of chia mucilage affected the rheological characteristics of emulsions.
Published: 1 September 2020
by MDPI
Proceedings, Volume 53; doi:10.3390/proceedings2020053018

Abstract:
Worldwide, cancer represents one of the main causes of mortality and morbidity, with breast cancer being the most diagnosed and the main cause of mortality among women. The purpose of this study is to evaluate the effect of chia seed oil on cell viability in the breast cancer line MCF-7. Tumor cells were treated to various concentrations of chia seed oil (12.5–400 μg/mL), then cellular viability was evaluated by (3-(4,5-dimethyl thiazole-2yl)-2,5-diphenyl tetrazolium bromide) MTT assay. Cellular viability was increased in the highest concentration group. Chia seed oil in high concentrations could potentially increase the viability of breast cancer cells.
Published: 1 September 2020
by MDPI
Proceedings, Volume 53; doi:10.3390/proceedings2020053017

Abstract:
Chia seeds (Salvia hispanica L.) have high amounts of nutraceutical compounds and a great commercial potential. The aim of this work was to identify proximate composition, fatty acids profile, total phenolics and antioxidant capacity of chia, as well the protein fractions and determine their antihypertensive potential. The seeds exhibited high content of protein, fiber, and lipids, mainly polyunsaturated fatty acids. Important amounts of phenols and a high antioxidant activity (DPPH and ABTS) were found. Globulins fraction showed the most abundant concentration followed by albumins. Peptides from albumins and globulins exhibited the strongest potential against the angiotensin-converting enzyme (ACE) activity. In brief, this study demonstrates that chia can be considered a seed with high nutritional content, antioxidant activity and as a novel antihypertensive agent; important factors for the frequent incorporation of chia in the human diet.
Published: 1 September 2020
by MDPI
Proceedings, Volume 53; doi:10.3390/proceedings2020053021

Abstract:
This research aimed to compare the apparent viscosity and the degree of fragmentation/aggregation produced in dispersions of xanthan gum and chia mucilage during the gastrointestinal tract by using an in vitro digestion. Both soluble fibers exhibited pseudoplastic behavior, independent of the concentration and stage of digestion (oral, gastric or intestinal). The viscosity decreased from the oral to intestinal stage in all the concentrations, produced mainly by the “dilution effect” by the addition of digestive fluids. The particle size of xanthan gum increased drastically in the gastric stage mainly due to the decrease in pH, but at intestinal level returned to its original pattern, while particle size and pattern of mucilage during all the stages of digestion remained unchanged, maintaining its integrity. In general terms, since chia mucilage and xanthan gum maintain their viscosity and integrity through the gastrointestinal tract, they could be used as functional ingredients improving the functionality of foods.
Published: 1 September 2020
by MDPI
Proceedings, Volume 54; doi:10.3390/proceedings2020054054

Abstract:
Feature selection is a subfield of data analysis that is on reducing the dimensionality of datasets, so that subsequent analyses over them can be performed in affordable execution times while keeping the same results. Joint Mutual Information (JMI) is a highly used feature selection method that removes irrelevant and redundant characteristics. Nevertheless, it has high computational complexity. In this work, we present a multithreaded MPI parallel implementation of JMI to accelerate its execution on distributed memory systems, reaching speedups of up to 198.60 when running on 256 cores, and allowing for the analysis of very large datasets that do not fit in the main memory of a single node.
Published: 1 September 2020
by MDPI
Proceedings, Volume 53; doi:10.3390/proceedings2020053022

Abstract:
Microencapsulation by different drying methods protects chia seed oil (CSO) against oxidative degradation, and ultimately facilitates its incorporation in certain foods. The aim of this work was to analyze the influence of freeze or spray drying, as well as of the coacervation phenomena in a ternary wall material blend—whey protein concentrate/soy protein isolate/gum arabic (WPC/SPI/GA)—on the physico–chemical properties of microencapsulated CSO. Differential scanning calorimetry studies indicated that the onset, peak, and end set temperatures for denaturation events shifted from 72.59, 77.96, and 78.02 to 81.34, 86.01, and 92.58 °C, respectively, in the ternary blend after coacervation. Oxidative stability indexes (OSI) of powders were significantly higher (p < 0.05) for both drying methods after inducing coacervation—from 6.45 to 12.04 h (freeze-drying) and 12.05 to 15.31 h (spray drying)—which was possibly due to the shifted denaturation temperatures after biopolymer interaction. It can be concluded that the ternary WPC/SPI/GA blend constitutes an adequate matrix to encapsulate CSO.
Published: 31 August 2020
by MDPI
Proceedings, Volume 54; doi:10.3390/proceedings2020054053

Abstract:
A comparison of different machine learning techniques for eye state identification through Electroencephalography (EEG) signals is presented in this paper. (1) Background: We extend our previous work by studying several techniques for the extraction of the features corresponding to the mental states of open and closed eyes and their subsequent classification; (2) Methods: A prototype developed by the authors is used to capture the brain signals. We consider the Discrete Fourier Transform (DFT) and the Discrete Wavelet Transform (DWT) for feature extraction; Linear Discriminant Analysis (LDA) and Support Vector Machine (SVM) for state classification; and Independent Component Analysis (ICA) for preprocessing the data; (3) Results: The results obtained from some subjects show the good performance of the proposed methods; and (4) Conclusion: The combination of several techniques allows us to obtain a high accuracy of eye identification.
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