EKFNet: edge-based Kalman filter network for real-time EEG signal denoising.

Signal denoising methods based on deep learning have been extensively adopted on electroencephalogram devices. However, they are unable to deploy on edge-based portable or wearable (P/W) electronics due to the high computational complexity of the existed models. To overcome such issue, we propose an edge-based lightweight Kalman filter network (EKFNet) that does not require manual prior knowledge estimation.

Overvaluation of weight and shape in obesity: a comparative study between people with and without binge eating disorder.

Introduction: The overvaluation of weight and shape is a diagnostic criterion in eating disorders, except in binge eating disorder (BED), where it has received less attention. This aspect is also not usually analyzed in people with overweight or obesity without an eating disorder. This research aims to identify the indicators of symptomatology, as well as those of self-construction and cognitive structure, that are associated with overvaluation in obesity, either alone or in conjunction with BED.

All-in-one aerial image enhancement network for forest scenes.

Drone monitoring plays an irreplaceable and significant role in forest firefighting due to its characteristics of wide-range observation and real-time messaging. However, aerial images are often susceptible to different degradation problems before performing high-level visual tasks including but not limited to smoke detection, fire classification, and regional localization. Recently, the majority of image enhancement methods are centered around particular types of degradation, necessitating the memory unit to accommodate different models for distinct scenarios in practical applications.

Family connections in the treatment of relatives of people with eating disorders and personality disorders: study protocol of a randomized control trial.

Background: Eating disorders (EDs) are serious disorders that significantly affect not only the lives of patients, but also those of their family members who often experience high levels of burden, suffering and helplessness. If, in addition to ED, the patient has a personality disorder (PD), the psychological distress experienced by family members can be devastating. However, few treatments have been developed for family members of people with ED and PD.

Semi-supervised wildfire smoke detection based on smoke-aware consistency.

The semi-transparency property of smoke integrates it highly with the background contextual information in the image, which results in great visual differences in different areas. In addition, the limited annotation of smoke images from real forest scenarios brings more challenges for model training. In this paper, we design a semi-supervised learning strategy, named smoke-aware consistency (SAC), to maintain pixel and context perceptual consistency in different backgrounds.

A Hybrid Visual-Based SLAM Architecture: Local Filter-Based SLAM with KeyFrame-Based Global Mapping.

This work presents a hybrid visual-based SLAM architecture that aims to take advantage of the strengths of each of the two main methodologies currently available for implementing visual-based SLAM systems, while at the same time minimizing some of their drawbacks. The main idea is to implement a local SLAM process using a filter-based technique, and enable the tasks of building and maintaining a consistent global map of the environment, including the loop closure problem, to use the processes implemented using optimization-based techniques. Different variants of visual-based SLAM systems can be implemented using the proposed architecture.

A Randomized Trial of Deep Brain Stimulation to the Subcallosal Cingulate and Nucleus Accumbens in Patients with Treatment-Refractory, Chronic, and Severe Anorexia Nervosa: Initial Results at 6 Months of Follow Up.

Background: The main objective of this study was to assess the safety and efficacy of deep brain stimulation (DBS) in patients with severe anorexia nervosa (AN).

Methods: Eight participants received active DBS to the subcallosal cingulate (SCC) or nucleus accumbens (NAcc) depending on comorbidities (affective or anxiety disorders, respectively) and type of AN. The primary outcome measure was body mass index (BMI).

Monocular Visual SLAM Based on a Cooperative UAV-Target System.

To obtain autonomy in applications that involve Unmanned Aerial Vehicles (UAVs), the capacity of self-location and perception of the operational environment is a fundamental requirement. To this effect, GPS represents the typical solution for determining the position of a UAV operating in outdoor and open environments. On the other hand, GPS cannot be a reliable solution for a different kind of environments like cluttered and indoor ones.

Assessing relative post-release mortality for the transparent goby fishery: Environmental drivers and the utility of vitality metrics.

The target species (Aphia minuta and Pseudaphya ferreri) of the transparent goby fishery on Mallorca Island (Balearic Islands, western Mediterranean) are currently discarded when the maximum daily catch is exceeded or when the sorting process is unworkable. The mortality suffered by this discarded fraction remains unknown, although it may be important for resource management. Accordingly, the aims of this study were to (1) assess the environmental drivers of the relative post-release survival of the discarded target species and (2) test the correlations between post-release survival and two behavior-related variables (swimming speed and its increase after a stimulus, assessed via video recording).

Design and Implementation of a Virtual Sensor Network for Smart Waste Water Monitoring.

Monitoring and analysis of open air basins is a critical task in waste water plant management. These tasks generally require sampling waters at several hard to access points, be it real time with multiparametric sensor probes, or retrieving water samples. Full automation of these processes would require deploying hundreds (if not thousands) of fixed sensors, unless the sensors can be translated.

EKF-Based Parameter Identification of Multi-Rotor Unmanned Aerial VehiclesModels.

This work presents a method for estimating the model parameters of multi-rotor unmanned aerial vehicles by means of an extended Kalman filter. Different from test-bed based identification methods, the proposed approach estimates all the model parameters of a multi-rotor aerial vehicle, using a single online estimation process that integrates measurements that can be obtained directly from onboard sensors commonly available in this kind of UAV. In order to develop the proposed method, the observability property of the system is investigated by means of a nonlinear observability analysis.

Cognitive impairment in eating disorder patients of short and long-term duration: a case-control study.

Several studies have noted the potentially negative effect of eating disorders (ED) on cognitive performance. To compare the impact of the duration of abnormal eating behaviors on cognitive performance in a sample of people with short- and long-term eating disorders and in two control groups matched for age. The neuropsychological performance of 82 women diagnosed with an eating disorder were compared with two control groups from the community of 66 healthy women.

Visual-Based SLAM Configurations for Cooperative Multi-UAV Systems with a Lead Agent: An Observability-Based Approach.

In this work, the problem of the cooperative visual-based SLAM for the class of multi-UA systems that integrates a lead agent has been addressed. In these kinds of systems, a team of aerial robots flying in formation must follow a dynamic lead agent, which can be another aerial robot, vehicle or even a human. A fundamental problem that must be addressed for these kinds of systems has to do with the estimation of the states of the aerial robots as well as the state of the lead agent.

Emotional eating and cognitive conflicts as predictors of binge eating disorder in patients with obesity.

Binge Eating Disorder (BED) is often associated with obesity. In order to identify the variables that allow to better detect the presence of BED, people with overnutrition were compared with and without BED in the presence of cognitive conflicts, eating symptoms and anxious-depressive symptoms. The inclusion of cognitive conflicts had been relevant in bulimia studies but had not been investigated with respect to BED.

UAV Visual and Laser Sensors Fusion for Detection and Positioning in Industrial Applications.

This work presents a solution to localize Unmanned Autonomous Vehicles with respect to pipes and other cylindrical elements found in inspection and maintenance tasks both in industrial and civilian infrastructures. The proposed system exploits the different features of vision and laser based sensors, combining them to obtain accurate positioning of the robot with respect to the cylindrical structures. A probabilistic (RANSAC-based) procedure is used to segment possible cylinders found in the laser scans, and this is used as a seed to accurately determine the robot position through a computer vision system.

Adaptation and psychometric properties of the spanish version of the yp-core (Young Person's Clinical Outcomes in Routine Evaluation).

Introduction: Given the increasing prevalence of mental health problems in the general population, it is indispensable to use assessment tools aimed to assess the outcome of therapeutic interventions in order to refine the process of psychological rehabilitation.

Method: We describe the process of adaptation into Spanish and a first psychometric study of the Young Person's- Clinical Outcomes in Routine Evaluation (YP-CORE), an instrument designed to measure the outcome in terms of general distress of therapeutic interventions in young people (11-16 years). 104 adolescents participated in the clinical and 131 in the non-clinical samples.

Comparing the catch composition, profitability and discard survival from different trammel net designs targeting common spiny lobster () in a Mediterranean fishery.

In the Balearic Islands, different trammel net designs have been adopted to promote fisheries sustainability and reduce discards. Here, we compare the catch performance of three trammel net designs targeting the spiny lobster in terms of biomass, species composition and revenue from commercial catches and discards. Designs differ in the netting fiber type (standard polyfilament, PMF, or a new polyethylene multi-monofilament, MMF) and the use of a guarding net or , a mesh piece intended to reduce discards.

Cooperative Monocular-Based SLAM for Multi-UAV Systems in GPS-Denied Environments.

This work presents a cooperative monocular-based SLAM approach for multi-UAV systems that can operate in GPS-denied environments. The main contribution of the work is to show that, using visual information obtained from monocular cameras mounted onboard aerial vehicles flying in formation, the observability properties of the whole system are improved. This fact is especially notorious when compared with other related visual SLAM configurations.

Body dissatisfaction and eating disorder symptomatology: Which factors interfere with sexuality in women with eating disorders?

Body dissatisfaction is a relevant aspect in both eating disorders and sexuality. Using Stice's model, this study aimed to evaluate the relationship between these variables in eating disorder patients compared with healthy controls. Statistically significant correlations between body dissatisfaction and sexuality were found in the whole sample.

Content Analysis of the Construction of Self and Others in Women with Bulimia Nervosa.

The purpose of this study was to explore the content of personal constructs in people diagnosed with bulimia nervosa (BN). We expected to find differences in the predominant content of the construct systems between women with and without BN. We analyzed the constructs elicited using the repertory grid technique from 120 women aged between 18 to 45 years, divided into two groups: a clinical group of women diagnosed with bulimia ( = 62) and a control group of university students ( = 58).

Delayed Monocular SLAM Approach Applied to Unmanned Aerial Vehicles.

In recent years, many researchers have addressed the issue of making Unmanned Aerial Vehicles (UAVs) more and more autonomous. In this context, the state estimation of the vehicle position is a fundamental necessity for any application involving autonomy. However, the problem of position estimation could not be solved in some scenarios, even when a GPS signal is available, for instance, an application requiring performing precision manoeuvres in a complex environment.

Psychometric properties of the Spanish version of the Clinical Outcomes in Routine Evaluation - Outcome Measure.

Objective: The objective of this paper is to assess the reliability and validity of the Spanish translation of the Clinical Outcomes in Routine Evaluation - Outcome Measure, a 34-item self-report questionnaire that measures the client's status in the domains of Subjective well-being, Problems/Symptoms, Life functioning, and Risk.

Method: Six hundred and forty-four adult participants were included in two samples: the clinical sample (n=192) from different mental health and primary care centers; and the nonclinical sample (n=452), which included a student and a community sample.

Results: The questionnaire showed good acceptability and internal consistency, appropriate test-retest reliability, and acceptable convergent validity.

Vision-Based SLAM System for Unmanned Aerial Vehicles.

The present paper describes a vision-based simultaneous localization and mapping system to be applied to Unmanned Aerial Vehicles (UAVs). The main contribution of this work is to propose a novel estimator relying on an Extended Kalman Filter. The estimator is designed in order to fuse the measurements obtained from: (i) an orientation sensor (AHRS); (ii) a position sensor (GPS); and (iii) a monocular camera.

Human Collaborative Localization and Mapping in Indoor Environments with Non-Continuous Stereo.

A new approach to the monocular simultaneous localization and mapping (SLAM) problem is presented in this work. Data obtained from additional bearing-only sensors deployed as wearable devices is fully fused into an Extended Kalman Filter (EKF). The wearable device is introduced in the context of a collaborative task within a human-robot interaction (HRI) paradigm, including the SLAM problem.