106 research outputs found
Anomaly Detection in Activities of Daily Living with Linear Drift
Anomalyq detection in Activities of Daily Living (ADL) plays an important role in e-health applications. An abrupt change in the ADL performed by a subject might indicate that she/he needs some help. Another important issue related with e-health applications is the case where the change in ADL undergoes a linear drift, which occurs in cognitive decline, Alzheimerâs disease or dementia. This work presents a novel method for detecting a linear drift in ADL modelled as circular normal distributions. The method is based on techniques commonly used in Statistical Process Control and, through the selection of a convenient threshold, is able to detect and estimate the change point in time when a linear drift started. Public datasets have been used to assess whether ADL can be modelled by a mixture of circular normal distributions. Exhaustive experimentation was performed on simulated data to assess the validity of the change detection algorithm, the results showing that the difference between the real change point and the estimated change point was 4.90â1.98+3.17 days on average. ADL can be modelled using a mixture of circular normal distributions. A new method to detect anomalies following a linear drift is presented. Exhaustive experiments showed that this method is able to estimate the change point in time for processes following a linear drift
A Generative Method for Indoor Localization Using Wi-Fi Fingerprinting
Indoor localization is an enabling technology for pervasive and mobile computing applications. Although different technologies have been proposed for indoor localization, Wi-Fi fingerprinting is one of the most used techniques due to the pervasiveness of Wi-Fi technology. Most
Wi-Fi fingerprinting localization methods presented in the literature are discriminative methods. We
present a generative method for indoor localization based on Wi-Fi fingerprinting. The Received
Signal Strength Indicator received from a Wireless Access Point is modeled by a hidden Markov
model. Unlike other algorithms, the use of a hidden Markov model allows ours to take advantage
of the temporal autocorrelation present in the Wi-Fi signal. The algorithm estimates the userâs
location based on the hidden Markov model, which models the signal and the forward algorithm to
determine the likelihood of a given time series of Received Signal Strength Indicators. The proposed
method was compared with four other well-known Machine Learning algorithms through extensive
experimentation with data collected in real scenarios. The proposed method obtained competitive
results in most scenarios tested and was the best method in 17 of 60 experiments performed
Medidas de controlo vetorial de mosquitos em caso de surtos de arboviroses
This paper proposes developing monitoring and control strategies with regard to various species of mosquitoes well- established in the Iberian Peninsula based on their ecological characteristics for two different scenarios of arbovirus outbreaks: One for controlling Aedes albopictus as a vector transmitting dengue, zika and chikungunya in urban environments and the other for keeping in check the Culicinae species linked to the transmission of the West Nile virus in rural and peri-urban environments. These entomological monitoring and control plans are based on experiments conducted in different Spanish provinces over the past few years. The results of the control treatments carried out and the relevance of the coordination and cooperation among public and private entities are discussed herein in detail.En el presente artiÌculo se plantea el desarrollo de estrategias de vigilancia y control de diversas especies de mosquitos asentados en la PeniÌnsula IbeÌrica, basados en sus caracteriÌsticas ecoloÌgicas, para dos escenarios diferenciados de brotes de arbovirosis: fundamentalmente para el control de Aedes albopictus como vector transmisor en entornos urbanos (dengue, zika y chikungunya) y, en segundo lugar, el control de especies de culicinos ligados al medio rural y periurbano (virus West Nile). Estos planes de vigilancia y control entomoloÌgico se basan en experiencias llevadas a cabo en diferentes provincias espanÌolas a lo largo de los uÌltimos anÌos. El resultado de los tratamientos de control realizados y la relevancia de la coordinacioÌn y cooperacioÌn entre entidades puÌblicas y privadas, se discuten con detalle en el presente artiÌculo.Este artigo propoÌe o desenvolvimento de estrateÌgias de vigilaÌncia e controlo de vaÌrias espeÌcies de mosquitos instaladas na PeniÌnsula IbeÌrica, com base nas suas caracteriÌsticas ecoloÌgicas, para dois cenaÌrios distintos de surto de arboviroses: fundamentalmente para o controle de Aedes albopictus como vetor transmissor em ambientes urbanos (dengue, zika e chikungunya) e, em segundo lugar, o controlo de espeÌcies de culiciÌdeos ligados aos meios rurais e periurbanos (viÌrus do Nilo Ocidental). Estes planos de vigilaÌncia e controle entomoloÌgico baseiam-se em experieÌncias realizadas em diferentes proviÌncias espanholas nos uÌltimos anos. O resultado dos tratamentos de controlo efetuados e a relevaÌncia da coordenaçaÌo e cooperaçaÌo entre entidades puÌblicas e privadas saÌo discutidos em pormenor neste artigo
Extraction of bioactive compounds from spent coffee grounds using ethanol and acetone aqueous solutions
Given global coffee consumption, substantial quantities of spent coffee grounds (SCGs) are generated annually as a by-product of brewing coffee. SCG, although rich in bioactive compounds, is nowadays disposed of. The objective of this study is to compare, for the first time and from the same SCG, the efficiency of ethanol?water mixtures and acetone?water mixtures for the recovery of total polyphenols, chlorogenic acid, and caffeine. Acetone at 20% (m/m) was the most convenient solvent to extract all three bioactive compounds simultaneously, yielding 4.37 mg of GAE/g SCG for total polyphenols, chlorogenic acid (0.832 mg 5-CQA/g SCG), and caffeine (1.47 mg/g SCG). Additionally, this study aims to address some challenges associated with the industrial-scale utilization of SCG as a raw material, encompassing factors such as pre-treatment conditions (natural drying and oven drying), storage duration, and the kinetics of the extraction process. No significant difference was observed between the natural drying and oven drying of SCG. In terms of storage duration, it is advisable to process the SCG within less than 3?4 months of storage time. A significant decline of 82% and 70% in chlorogenic acid (5-CQA) and caffeine contents, respectively, was observed after eight months of storage. Furthermore, the kinetic study for the recovery of total polyphenols revealed that the optimal extraction times were 10 min for acetone at 20% and 40 min for water, with a yield increase of 28% and 34%, respectively. What is remarkable from the present study is the approach considered, using the simplest operating conditions (minimal time and solvent-to-solid ratio, and ambient temperature); hence, at an industrial scale, energy and resource consumption and equipment dimensions can be together reduced, leading to a more industrially sustainable extraction process.The authors wish to acknowledge the financial support from the Spanish Ministry of Science and Innovation to the project KAIROS-BIOCIR (PID2019-104925RB-C32). The first author also appreciates the support (2021FI SDUR 00130) from the Secretariat for Universities and Research of the Ministry of Business and Knowledge of the Government of Catalonia and the European Social Fund
Carbon footprint: the case of four chicken meat products sold on the Spanish market
Despite its relatively low environmental impact within the livestock sector, the poultry sector still faces its own environmental challenges that need to be addressed. The present paper uses life cycle assessment to quantify greenhouse gas emissions, from cradle to slaughterhouse gate, of four chicken meat products: whole carcass, wings, breast fillets, and leg quarters. The main contribution of the present study is that it provides a detailed analysis of different chicken meat cuts, testing mass and economic allocation choices and showing that economic allocation better reflects the causality of the cutting process. We recommend that a distinction should be made between whole carcass and meat cuts, as there are significant differences in meat content and climate change results between these two categories. This is not so clear in the literature, nor in the LEAP guideline for the poultry sector. The study was performed by using disaggregated inventory data from Spain, for the first time. Results show that the major contributors to environmental impact are feed production (>70%), electricity use (10.2%), and fossil fuel combustion (8.1%). Packaging did not significantly contribute to the climate change impact of the chicken products evaluated (0.4-3.4% contribution, depending on the type of packaging and product considered).The authors wish to acknowledge the financial support from the Spanish Ministry of Science and Innovation to the project KAIROS-BIOCIR (PID2019-104925RB-C32). The first author also appreciates the support (2021FI_B 00100) from the Secretariat for Universities and Research of the Ministry of Business and Knowledge of the Government of Catalonia and the European Social Fund. Finally, the authors are grateful to Grupo SADA p.a., S.A for their support in this study
Can we speak of a negative psychological tetrad in sports? A probabilistic Bayesian study on competitive sailing
INTRODUCTION: Researchers display an interest in studying aspects like the mental health of high-performance athletes; the dark side of sport, or the earliest attempts to study the so-called dark triad of personality in both initiation and high-performance athletes. Therefore, the objective of this paper is to determine the possible existence and magnitude of negative psychological aspects within a population of competition sailors and from a probabilistic point of view, using Bayesian Network analysis.
METHODS: The study was carried out on 235 semi-professional sailors of the 49er Class, aged between 16 and 52 years (M = 24.66; SD = 8.03).
RESULTS: The results show the existence of a Negative Tetrad-formed by achievement burnout, anxiety due to concentration disruption, amotivation and importance given to error-as a probabilistic product of the psychological variables studied: motivation, anxiety, burnout and fear of error.
CONCLUSION: These results, supported by Bayesian networks, show holistically the influence of the social context on the psychological and emotional well-being of the athlete during competition at sea
The Effect of Sleep Quality on Pain in Chilean Individuals with Musculoskeletal Disorders
[EN]Poor sleep quality (SQ) negatively affects pain associated with musculoskeletal disorders
(MSD). As the level of economic development of a country determines its sanitary conditions,
these can influence the sleepâpain relationship; therefore, it is relevant to generate evidence in the
population with MSD in developing countries. This cross-sectional study sought to determine the
effect of poor SQ on pain in Chilean individuals with MSD, controlling for sex and duration of
pain (in months). Method: A total of 228 individuals were included. SQ was measured with the
Pittsburg Sleep Quality Index (PSQI), pain (intensity, interference and distress relative to pain) was
measured with visual analog scales. Structural equation modeling (SEM) was performed to analyze
the effect of SQ on pain. Results: A high frequency of poor SQ was present in the studied group, and
was more prevalent in women. The SEM model evidenced that poor SQ predicts greater pain. Sex
influences sleep quality and pain, but not pain duration. Conclusions: These findings indicate that
poor SQ predicts higher pain in MSD and that women exhibit worse SQ and more significant pain
than men. Our findings support that SQ should be considered in the comprehensive approach to
pain in individuals with MSD
Environmental and yield comparison of quick extraction methods for caffeine and chlorogenic acid from spent coffee grounds
This study aims to provide an overview of different extraction methods to obtain chlorogenic acid (CA) and caffeine (Caf) from spent coffee grounds (SCG). This overview shows that the quantity extracted is highly dependent on the type of SCG, so experiments using the same SCG are needed to compare different methods. Three easy and simple extraction methods will be tested at a laboratory scale and environmentally compared. All three experiments were of 1 min duration: first, using supramolecular solvent; second, with water and vortex; and third, with water assisted by ultrasound. Water extraction assisted by ultrasound at room temperature yielded the greatest quantity of chlorogenic acid and caffeine, with 1.15 mg CA/g and 0.972 mg Caf/g, respectively. Extraction using supra-solvent leads to a lower content of CA in the supra-phase since it has more affinity for the water-based inferior phase. An environmental assessment using life cycle assessment has been carried out to compare water and supra extraction methods for the manufacture of two different commercial products: a face cream and an eye contour serum. Results show that the type of solvent and the amount of active substance extracted have a great influence on the environmental results. The results presented here are important for companies willing to obtain these active substances at an industrial scale.The authors wish to acknowledge the financial support from the Spanish Ministry of Science and Innovation to the project KAIROS-BIOCIR (PID2019-104925RB-C32). The first author also appreciates the support (2021FI SDUR 00130) from the Secretariat for Universities and Research of the Ministry of Business and Knowledge of the Government of Catalonia and the European Social Fund
A classical treatment of optical tunneling in plasmonic gaps: extending the quantum corrected model to practical situations
The optical response of plasmonic nanogaps is challenging to address when the separation between the two nanoparticles forming the gap is reduced to a few nanometers or even subnanometer distances. We have compared results of the plasmon response within different levels of approximation, and identified a classical local regime, a nonlocal regime and a quantum regime of interaction. For separations of a few Ă
ngstroms, in the quantum regime, optical tunneling can occur, strongly modifying the optics of the nanogap. We have considered a classical effective model, so called Quantum Corrected Model (QCM), that has been introduced to correctly describe the main features of optical transport in plasmonic nanogaps. The basics of this model are explained in detail, and its implementation is extended to include nonlocal effects and address practical situations involving different materials and temperatures of operation.</p
Face, content, and construct validity of the EndoViS training system for objective assessment of psychomotor skills of laparoscopic surgeons
Background
The aim of this study is to present face, content, and constructs validity of the endoscopic orthogonal video system (EndoViS) training system and determines its efficiency as a training and objective assessment tool of the surgeonsâ psychomotor skills.
Methods
Thirty-five surgeons and medical students participated in this study: 11 medical students, 19 residents, and 5 experts. All participants performed four basic skill tasks using conventional laparoscopic instruments and EndoViS training system. Subsequently, participants filled out a questionnaire regarding the design, realism, overall functionality, and its capabilities to train handâeye coordination and depth perception, rated on a 5-point Likert scale. Motion data of the instruments were obtained by means of two webcams built into a laparoscopic physical trainer. To identify the surgical instruments in the images, colored markers were placed in each instrument. Thirteen motion-related metrics were used to assess laparoscopic performance of the participants. Statistical analysis of performance was made between novice, intermediate, and expert groups. Internal consistency of all metrics was analyzed with Cronbachâs α test.
Results
Overall scores about features of the EndoViS system were positives. Participants agreed with the usefulness of tasks and the training capacities of EndoViS system (score >4). Results presented significant differences in the execution of three skill tasks performed by participants. Seven metrics showed construct validity for assessment of performance with high consistency levels.
Conclusions
EndoViS training system has been successfully validated. Results showed that EndoViS was able to differentiate between participants of varying laparoscopic experience. This simulator is a useful and effective tool to objectively assess laparoscopic psychomotor skills of the surgeons
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