How Not Being Able to Drive Can Affect Routines and Occupations Related to Transportation

The purpose of this study was to examine how individuals who have experienced a TBI described the effects not being able to drive has on their routines and occupations related to transportation. Two participants were interviewed, using a semi-structured interview protocol, about their participation in daily routines and occupations related to driving cessation after experiencing a TBI. Interviews were audio recorded and transcribed. Data was analyzed by coding significant phrases, grouping the codes into categories, and generating descriptions of the participants\u27 perceptions. Member checks were performed for trustworthiness. After analyzing the data, four themes emerged. The themes were; hoping to be a better driver, being able to take myself anywhere and everywhere I want to go at any time, feeling cut off from people, and self-realizations. These themes suggest that there are limited participation and social interactions present with individuals after experiencing a TBI and driving cessation. There were several ways the individual\u27s lives were affected by their inability to drive. These included: limited participation with peers and family, limited community integration, and loss of independence and autonomy

How Does Intraprofessional and Interprofessional Collaboration Impact the Use of Occupation-Based Practice in Skilled Nursing Facilities

Background: Research shows that there are many barriers to the implementation of occupation-based practice amongst occupational therapy practitioners. One barrier that requires a more in-depth review is the process of interprofessional and intraprofessional collaboration amongst staff in skilled nursing facilities. Purpose: The purpose of this research project was to examine how interprofessional and intraprofessional collaboration influence occupational therapists and occupational therapy assistant’s ability to provide occupation-based practice in skilled nursing facilities. Theoretical Framework: The frameworks utilized throughout this study included the National Interprofessional Competency Framework and the Occupational Therapy Intervention Process Model (OTIPM). Methods: This study utilized a qualitative case study design to understand how staff within skilled nursing facilities viewed the impact of intra- and interprofessional collaboration has on occupation-based practice. Participants were recruited utilizing purposeful sampling to gain a full diverse picture of the phenomenon being studied. Participants were interviewed for between 15 - 30 minutes individually and interviews were transcribed verbatim. The transcripts were coded which led to the development of three themes. Results: After the seven participants were interviewed three themes emerged from the data. The three themes were: absence of shifting mindsets, respecting roles to benefit clients, and missed opportunities. Conclusions: The themes and subthemes of this study bring to light the challenges to effective collaboration and how it impacts occupation-based practice, while also discussing what effective collaboration looks like and how it can benefit the clients that receive services. By having the different professions represented in this study, there is a diverse overview of the experiences had within the facility giving a better understanding and view of the nature of intra- and interprofessional collaboration helping to better perceive how occupation-based practice may be impacted

FluoRAS Sensor - Online organic matter for optimising recirculating aquaculture systems

FluorRAS will develop a sensor that can save recycled fish farms 30% per year in water and energy consumption for water treatment, as well as optimize nitrogen removal. The sensor will be developed in a partnership between engineers (Krüger A / S) and researchers (DTU), and the product will be made available to the entire sector through Danish Aquaculture. Global aquaculture production is expected to double within the next 15 years. Recycling technology has a great potential for supporting environmentally and economically sustainable production. However, the technology has some challenges in balancing both the maintenance of necessary water quality and water treatment costs. Loss of production due to poor water quality is expensive and can be avoided with correct sensor systems. Accumulation of dissolved organic matter and nutrients in the water reduce the effectiveness of UV treatment, is a source of nutrition for opportunistic pathogens, and reduces the effectiveness of the biofilter's removing ammonia. Modern recycling systems are therefore dependent on a network of online sensors that monitor and respond to changes in water quality, but currently there is a need for a sensor to monitor the accumulation of organic matter. FluoRAS aims to fill this gap in technology by developing an online fluorescence sensor. The sensor is based on non-destructive, online optical technology that does not require chemicals and can run continuously

Telling the difference between deceiving and truth telling: An experiment in a public space

The behavioral experiment presented in this paper investigated deception tasks (both concealment and lying) undertaken in a public space. The degree of risk of deception detection and the demands of self-regulation when deceiving were manipulated. The results showed a significant interaction effect between veracity and risk of deception detection, emerged for the body movement of “hand(s) in pocket(s)”. The incidence of “hand(s) in pocket(s)” was found to increase from truth telling to deceiving conditions when the risk of deception detection was higher, and to decrease from truth telling to deceiving conditions when the risk was lower. Higher risk of deception detection was also found in magnifying the “overall negative and controlled impression” displayed by both deceivers and truth tellers, compared to the lower risk of detection condition. We also discussed the possible effects of risk of deception detection and depletion of self-regulation, on deception behavior. Further studies and the connection between this study and the research community of computer vision and multimodel interaction is also discussed

To delegate or not to delegate: a review of control frameworks for autonomous cars

There have been significant advances in technology and automated systems that will eventually see the use of autonomous cars as commonplace on our roads. Various systems are already available that provide the driver with different levels of decision support. This paper highlights the key human factors issues associated with the interaction between the user and an autonomous system, including assistive decision support and the delegation of authority to the automobile. The level of support offered to the driver can range from traditional automated assistance, to system generated guidance that offers advice for the driver to act upon, and even more direct action that is initiated by the system itself without driver intervention. In many of these instances the role of the driver is slowly moving towards a supervisory role within a complex system rather than one of direct control of the vehicle. Different paradigms of interaction are considered and focus is placed on the partnership that takes place between the driver and the vehicle. Drawing on the wealth of knowledge that exists within the aviation domain and research literature that examines technology partnerships within the cockpit, this paper considers important factors that will assist the automotive community to understand the underlying issues of the human and their interaction within complex systems

Fluorescence spectroscopy and multi-way techniques. PARAFAC

PARAllel FACtor analysis (PARAFAC) is increasingly used to decompose fluorescence excitation emission matrices (EEMs) into their underlying chemical components. In the ideal case where fluorescence conforms to Beers Law, this process can lead to the mathematical identification and quantification of independently varying fluorophores. However, many practical and analytical hurdles stand between EEM datasets and their chemical interpretation. This article provides a tutorial in the practical application of PARAFAC to fluorescence datasets, demonstrated using a dissolved organic matter (DOM) fluorescence dataset. A new toolbox for MATLAB is presented to support improved visualisation and sensitivity analyses of PARAFAC models in fluorescence spectroscopy. © 2013 The Royal Society of Chemistry

Expanding Interaction Potentials within Virtual Environments: Investigating the Usability of Speech and Manual Input Modes for Decoupled Interaction

Distributed technologies and ubiquitous computing now support users who may be detached or decoupled from traditional interactions. In order to investigate the potential usability of speech and manual input devices, an evaluation of speech input across different user groups and a usability assessment of independent-user and collaborative-user interactions was conducted. Whilst the primary focus was on a formative usability evaluation, the user group evaluation provided a formal basis to underpin the academic rigor of the exercise. The results illustrate that using a speech interface is important in understanding user acceptance of such technologies. From the usability assessment it was possible to translate interactions and make them compatible with innovative input devices. This approach to interaction is still at an early stage of development, and the potential or validity of this interfacing concept is still under evaluation; however, as a concept demonstrator, the results of these initial evaluations demonstrate the potential usability issues of both input devices as well as highlighting their suitability for advanced virtual applications