Anomaly Detection Methods in Autonomous Robotic Missions.

Since 2015, there has been an increase in articles on anomaly detection in robotic systems, reflecting its growing importance in improving the robustness and reliability of the increasingly utilized autonomous robots. This review paper investigates the literature on the detection of anomalies in Autonomous Robotic Missions (ARMs). It reveals different perspectives on anomaly and juxtaposition to fault detection.

Use and Trends of Diabetes Self-Management Technologies: A Correlation-Based Study.

Applications and systems for diabetes self-management are growing and involve a vast majority of factors to consider. This study was aimed at examining the integration of portable technologies for diabetes self-management, as well as benefits and issues arising of its use. From a web-based study on several groups of people with diabetes, most of them accustomed to the daily use of devices and applications for self-control, a deeper analysis based on correlations and inference was conducted considering information about the disease, technology knowledge and devices handling, use of technologies for diabetes control and management, and training with devices from a clinical and educational viewpoint.

Technoeconomic Analysis of Negative Emissions Bioenergy with Carbon Capture and Storage through Pyrolysis and Bioenergy District Heating Infrastructure.

Bioenergy with carbon capture and storage (BECCS) has been identified as a cost-effective negative emission technology that will be necessary to limit global warming to 1.5 °C targets. However, the study of BECCS deployment has mainly focused on large-scale, centralized facilities and geologic sequestration.

Examining privilege and power in US urban parks and open space during the double crises of antiblack racism and COVID-19.

In this perspective, we argue that creating the positive outcomes socio-ecological researchers and practitioners seek for urban areas requires acknowledging and addressing the interactions of race and systemic racism in parks, open and green spaces. Racial experiences are inseparable from physical landscapes and the processes of designing, managing, or studying them. From COVID-19 to the Black Lives Matter movement and protests, the events of 2020 in the United States underscore how considerations of social justice must extend beyond the conventional distributional focus of environmental justice.

Current Competencies of Game Facilitators and Their Potential Optimization in Higher Education: Multimethod Study.

Background: Serious games can be a powerful learning tool in higher education. However, the literature indicates that the learning outcome in a serious game depends on the facilitators' competencies. Although professional facilitators in commercial game-based training have undergone specific instruction, facilitators in higher education cannot rely on such formal instruction, as game facilitation is only an occasional part of their teaching activities.

An integrated haptic-enabled virtual reality system for orthognathic surgery planning.

Conventional Orthognathic surgery (OGS) planning involves cephalometric analyses and dental casts to be mounted on an articulator. Dental segments are subsequently identified, cut and repositioned to allow the fabrication of intraoral wafers that guide the positioning of the osteotomy bone segments. This conventional planning introduces many inaccuracies that affect the post-surgery outcomes.

The evaluation of a novel haptic-enabled virtual reality approach for computer-aided cephalometry.

Background And Objective: In oral and maxillofacial surgery, conventional radiographic cephalometry is one of the standard auxiliary tools for diagnosis and surgical planning. While contemporary computer-assisted cephalometric systems and methodologies support cephalometric analysis, they tend neither to be practical nor intuitive for practitioners. This is particularly the case for 3D methods since the associated landmarking process is difficult and time consuming.

An Effective Neurofeedback Intervention to Improve Social Interactions in Children with Autism Spectrum Disorder.

Neurofeedback training (NFT) approaches were investigated to improve behavior, cognition and emotion regulation in children with autism spectrum disorder (ASD). Thirteen children with ASD completed pre-/post-assessments and 16 NFT-sessions. The NFT was based on a game that encouraged social interactions and provided feedback based on imitation and emotional responsiveness.

Brain-computer interface game applications for combined neurofeedback and biofeedback treatment for children on the autism spectrum.

Individuals with autism spectrum disorder (ASD) show deficits in social and communicative skills, including imitation, empathy, and shared attention, as well as restricted interests and repetitive patterns of behaviors. Evidence for and against the idea that dysfunctions in the mirror neuron system are involved in imitation and could be one underlying cause for ASD is discussed in this review. Neurofeedback interventions have reduced symptoms in children with ASD by self-regulation of brain rhythms.

Emission inventory for PFOS in China: review of past methodologies and suggestions.

Perfluorooctane sulfonate (PFOS) is a persistent, bioaccumulative, and toxic chemical that has the potential for long-range transport in the environment. Its use in a wide variety of consumer products and industrial processes makes a detailed characterization of its emissions sources very challenging. These varied emissions sources all contribute to PFOS' existence within nearly all environmental media.