Sexing Sirenians: Validation of Visual and Molecular Sex Determination in Both Wild Dugongs (Dugong dugon) and Florida Manatees (Trichechus manatus latirostris)

Sexing wild marine mammals that show little to no sexual dimorphism is challenging. For sirenians that are difficult to catch or approach closely, molecular sexing from tissue biopsies offers an alternative method to visual discrimination. This paper reports the results of a field study to validate the use of two sexing methods: (1) visual discrimination of sex vs (2) molecular sexing based on a multiplex PCR assay which amplifies the male-specific SRY gene and differentiates ZFX and ZFY gametologues. Skin samples from 628 dugongs (Dugong dugon) and 100 Florida manatees (Trichechus manatus latirostris) were analysed and assigned as male or female based on molecular sex. These individuals were also assigned a sex based on either direct observation of the genitalia and/or the association of the individual with a calf. Individuals of both species showed 93 to 96% congruence between visual and molecular sexing. For the remaining 4 to 7%, the discrepancies could be explained by human error. To mitigate this error rate, we recommend using both of these robust techniques, with routine inclusion of sex primers into microsatellite panels employed for identity, along with trained field observers and stringent sample handling.

Influences on novice drivers' speed selection - a systematic review: Application and limitations of theory and methodology

Background Excessive speed is a primary contributing factor to young novice road trauma, including intentional and unintentional speeds above posted limits or too fast for conditions. The objective of this research was to conduct a systematic review of recent investigations into novice drivers’ speed selection, with particular attention to applications and limitations of theory and methodology. Method Systematic searches of peer-reviewed and grey literature were conducted during September 2014. Abstract reviews identified 71 references potentially meeting selection criteria of investigations since the year 2000 into factors that influence (directly or indirectly) actual speed (i.e., behaviour or performance) of young (age <25 years) and/or novice (recently-licensed) drivers. Results Full paper reviews resulted in 30 final references: 15 focused on intentional speeding and 15 on broader speed selection investigations. Both sets identified a range of individual (e.g., beliefs, personality) and social (e.g., peer, adult) influences, were predominantly theory-driven and applied cross-sectional designs. Intentional speed investigations largely utilised self-reports while other investigations more often included actual driving (simulated or ‘real world’). The latter also identified cognitive workload and external environment influences, as well as targeted interventions. Discussion and implications Applications of theory have shifted the novice speed-related literature beyond a simplistic focus on intentional speeding as human error. The potential to develop a ‘grand theory’ of intentional speeding emerged and to fill gaps to understand broader speed selection influences. This includes need for future investigations of vehicle-related and physical environment-related influences and methodologies that move beyond cross-sectional designs and rely less on self-reports.

Hypoxic and low pH water in the nearshore marine environments of Monterey Bay, California: characterizing a decade of oxygen and pH, and drivers of variability.

A decade-long time series recorded in southern Monterey Bay, California demonstrates that the shallow, near-shore environment (17 m depth) is regularly inundated with pulses of cold, hypoxic and low pH water. During these episodes, oxygen can drop to biologically threatening levels, and pH levels were lower than expected. Weekly water chemistry monitoring revealed that the saturation state of aragonite (the more soluble form of calcium carbonate) was often below saturation and had a moderate positive relationship with pH, however, analytical and human error could be high. Pulses of hypoxia and low pH water with the greatest intensity arise at the onset of the spring upwelling season, and fluctuations are strongly semidurnal (tidal) and diurnal. Arrival of cold, hypoxic water on the inner shelf typically occurs 3 days after the arrival of a strong upwelling event and appears to be driven by upwelling modulated by internal tidal fluctuations. I found no relationship between the timing of low-oxygen events and the diel solar cycle nor with terrestrial nutrient input. These observations are consistent with advection of hypoxic water from the deep, offshore environment where water masses experience a general decline of temperature, oxygen and pH with depth, and inconsistent with biochemical forcing. Comparisons with concurrent temperature and oxygen time series taken ~20 km away at the head of the Monterey Canyon show similar patterns but even more intense hypoxic events due to stronger semidiurnal forcing there. Analysis of the durations of exposure to low oxygen levels establishes a framework for assessing the ecological relevance of these events. Increasing oceanic hypoxia and acidification of both surface and deep waters may increase the number, intensity, duration and spatial extent of future intrusions along the Pacific coast. Evaluation of the resiliency of nearshore ecosystems such as kelp forests, rocky reefs and sandy habitats, will require consideration of these events.

Catches in ghost-fishing octopus and fish traps in the northeastern Atlantic Ocean (Algarve, Portugal)

Ghost fishing is the term used to describe the continued capture of fish and other living organisms after a fisherman has lost all control over the gear. Traps may be lost for a variety of reasons including theft, vandalism, abandonment, interactions with other gear, fouling on the bottom (i.e., traps and ropes are caught on rocky substrate), bad weather, and human error (Laist, 1995). Annual trap loss can be as high as 20% to 50% of fished traps in some fisheries (Al-Masroori et al., 2004). Because lost traps can continue to fish for long periods, albeit with decreasing efficiency over time (e.g., Smolowitz, 1978; Breen, 1987, 1990; Guillory, 1993), ghost fishing is a concern in fisheries worldwide.

Survey and impact assessment of derelict fish traps in St. Thomas and St. John, U.S. Virgin Islands

Since 2001, NOAA National Centers for Coastal Ocean Science (NCCOS), Center for Coastal Monitoring and Assessment’s (CCMA) Biogeography Branch (BB) has been working with federal and territorial partners to characterize, monitor, and assess the status of the marine environment across the U.S. Virgin Islands (USVI). At the request of the St. Thomas Fisherman’s Association (STFA) and NOAA Marine Debris Program, CCMA BB developed new partnerships and novel technologies to scientifically assess the threat from derelict fish traps (DFTs). Traps are the predominant gear used for finfish and lobster harvesting in St. Thomas and St. John. Natural phenomena (ground swells, hurricanes) and increasing competition for space by numerous user groups have generated concern about increasing trap loss and the possible ecological, as well as economic, ramifications. Prior to this study, there was a general lack of knowledge regarding derelict fish traps in the Caribbean. No spatially explicit information existed regarding fishing effort, abundance and distribution of derelict traps, the rate at which active traps become derelict, or areas that are prone to dereliction. Furthermore, there was only limited information regarding the impacts of derelict traps on natural resources including ghost fishing. This research identified two groups of fishing communities in the region: commercial fishing that is most active in deeper waters (30 m and greater) and an unknown number of unlicensed subsistence and or commercial fishers that fish closer to shore in shallower waters (30 m and less). In the commercial fishery there are an estimated 6,500 active traps (fish and lobster combined). Of those traps, nearly 8% (514) were reported lost during the 2008-2010 period. Causes of loss/dereliction include: movement of the traps or loss of trap markers due to entanglement of lines by passing vessels; theft; severe weather events (storms, large ground swells); intentional disposal by fishermen; traps becoming caught on various bottom structures (natural substrates, wrecks, etc.); and human error.

A Review on Improving the Autonomy of Unmanned Surface Vehicles through Intelligent Collision Avoidance Manoeuvres

In recent years unmanned vehicles have grown in popularity, with an ever increasing number of applications in industry, the military and research within air, ground and marine domains. In particular, the challenges posed by unmanned marine vehicles in order to increase the level of autonomy include automatic obstacle avoidance and conformance with the Rules of the Road when navigating in the presence of other maritime traffic. The USV Master Plan which has been established for the US Navy outlines a list of objectives for improving autonomy in order to increase mission diversity and reduce the amount of supervisory intervention. This paper addresses the specific development needs based on notable research carried out to date, primarily with regard to navigation, guidance, control and motion planning. The integration of the International Regulations for Avoiding Collisions at Sea within the obstacle avoidance protocols seeks to prevent maritime accidents attributed to human error. The addition of these critical safety measures may be key to a future growth in demand for USVs, as they serve to pave the way for establishing legal policies for unmanned vessels.

Colapsos de pontes: lições aprendidas

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Civil na Área de Especialização em Estruturas

Aplicación de la Teoría de Restricciones en la gestión de la seguridad del paciente

La seguridad del paciente constituye una prioridad y un reto para los organismos Gubernamentales y para las instituciones de salud tanto a nivel nacional como internacional (Sescam, 2007), quienes han emprendido una búsqueda de soluciones por medio de diferentes metodologías y estrategias que permitan reducir al máximo los riesgos de la atención de salud para el paciente (Ministerio de Sanidad y Consumo, 2002). Aunque se cuenta con mejores sistemas o metodología de análisis y sistemas de notificación la persistencia del fenómeno es constante. ( Requena, Aranaz, Gea, Limón, Miralles, & Vitaller , 2010). En esta tesis se plantea una nueva alternativa de gestión en la seguridad del paciente a través de la Teoría de Restricciones (TOC) para emprender acciones que permitan analizar el sistema bajo esta nueva metodología, intervenir de manera oportuna, impactar y estimular al personal de salud a trabajar en la búsqueda del mejoramiento continuo para el establecimiento de un sistema efectivo de gestión de la seguridad del paciente y una cultura de seguridad de los trabajadores de la institución de salud.

Traducción, adaptación y validación del cuestionario OCFQ para medir las fallas cognitivas ocupacionales en el contexto cultural Colombiano, 2015.

Objetivos. El Objetivo general de este estudio es determinar si el Instrumento para evaluar las Fallas Cognitivas Ocupacionales (Occupational Cognitive Failures Questionnaire - OCFQ) desarrollado por Allahyari T. et al. (2011) , tiene validez transcultural y podría ser un Instrumento fiable y válido que se puede adaptar al contexto cultural Colombiano para la valoración de las Fallas Cognitivas en el ámbito laboral. Metodología. Se llevó a cabo la traducción, adaptación y validación del Cuestionario de Fallas Cognitivas Ocupacionales (OCFQ) al contexto cultural colombiano, siguiendo las recomendaciones de la Organización Mundial de la Salud (OMS) para el proceso de traducción y adaptación de instrumentos y posteriormente la evaluación de fiabilidad y validez del instrumento adaptado, en cuatro etapas: Etapa 1. Traducción - retro traducción, Etapa 2. “Debriefing” y Análisis de legibilidad, Etapa 3. Validez de contenido, usando el Índice de Validez de Contenido (CVI) y Etapa 4. Evaluación de propiedades métricas. Para la evaluación de Validez de Constructo se aplicó el Análisis Factorial por el Método de Componentes Principales y Rotación Varimax; la consistencia interna y la estabilidad temporal fueron evaluados mediante el Alpha de Cronbach (α) y el test-retest, respectivamente. Resultados. El Cuestionario OCFQ fue adaptado al contexto cultural Colombiano; el análisis de Legibilidad determinó que de acuerdo con el Grado en la escala Inflesz, el Cuestionario es Bastante Fácil de leer. Partiendo de la versión original de 30 ítems se obtuvo una nueva versión de 25 ítems, ya que después de la evaluación de Validez de Contenido se rechazaron 5 ítems. El Índice de Validez de Contenido (CVI) para la versión final del OCFQ adaptado es aceptable (CVI=0,84). Los resultados de las pruebas métricas muestran que la versión final del OCFQ adaptado tiene una buena Consistencia Interna (α=0.90) y el Índice de Correlación Interclases (ICC) fue de 0.91 mostrando una muy buena Estabilidad Temporal. El Análisis Factorial estableció para el Cuestionario OCFQ 4 factores que explican el 47% de la varianza total. Conclusión. La evaluación de las Fallas Cognitivas en el ámbito laboral requiere que se disponga de una herramienta válida y fiable. De acuerdo con los resultados en este estudio se puede establecer que el OCFQ adaptado al Contexto Cultural Colombiano podría ser un instrumento adecuado para medir las Fallas Cognitivas en el ámbito laboral en plantas industriales.

Understanding safety and production risks in rail engineering planning and protection

Much of the published human factors work on risk is to do with safety and within this is concerned with prediction and analysis of human error and with human reliability assessment. Less has been published on human factors contributions to understanding and managing project, business, engineering and other forms of risk and still less jointly assessing risk to do with broad issues of ‘safety’ and broad issues of ‘production’ or ‘performance’. This paper contains a general commentary on human factors and assessment of risk of various kinds, in the context of the aims of ergonomics and concerns about being too risk averse. The paper then describes a specific project, in rail engineering, where the notion of a human factors case has been employed to analyse engineering functions and related human factors issues. A human factors issues register for potential system disturbances has been developed, prior to a human factors risk assessment, which jointly covers safety and production (engineering delivery) concerns. The paper concludes with a commentary on the potential relevance of a resilience engineering perspective to understanding rail engineering systems risk. Design, planning and management of complex systems will increasingly have to address the issue of making trade-offs between safety and production, and ergonomics should be central to this. The paper addresses the relevant issues and does so in an under-published domain – rail systems engineering work.

A technique for evaluation of interactive evolutionary systems

Very large scale scheduling and planning tasks cannot be effectively addressed by fully automated schedule optimisation systems, since many key factors which govern 'fitness' in such cases are unformalisable. This raises the question of an interactive (or collaborative) approach, where fitness is assigned by the expert user. Though well-researched in the domains of interactively evolved art and music, this method is as yet rarely used in logistics. This paper concerns a difficulty shared by all interactive evolutionary systems (IESs), but especially those used for logistics or design problems. The difficulty is that objective evaluation of IESs is severely hampered by the need for expert humans in the loop. This makes it effectively impossible to, for example, determine with statistical confidence any ranking among a decent number of configurations for the parameters and strategy choices. We make headway into this difficulty with an Automated Tester (AT) for such systems. The AT replaces the human in experiments, and has parameters controlling its decision-making accuracy (modelling human error) and a built-in notion of a target solution which may typically be at odds with the solution which is optimal in terms of formalisable fitness. Using the AT, plausible evaluations of alternative designs for the IES can be done, allowing for (and examining the effects of) different levels of user error. We describe such an AT for evaluating an IES for very large scale planning.

A qualitative exploration of the underlying causes of preventable drug-related morbidity in primary care, resulting in hospitalisation

This study has explored the underlying causes of preventable drug-related admissions to hospital, from primary care through semi-structured interviews and review of patients’ medical records. Analysis of the data has revealed that communication failures between different groups of healthcare professionals and between healthcare professionals and patients contribute to preventable drug-related admissions, as do knowledge gaps about medication in both healthcare professionals and patients. In addition, working conditions for community pharmacists severely limit their ability to effectively act as a safety barrier to patients receiving inappropriate medication. Limitations include heavy workloads, lack of access to patients’ clinical information, poor relationships with general practitioners and time restrictions. The results of this study represent an important addition to our understanding of the contribution of human error as an underlying cause of preventable drug-related morbidity, and the factors which contribute to errors occurring in the primary healthcare setting.

MACHINE VISION FOR AUTOMATICVISUAL INSPECTION OF WOODENRAILWAY SLEEPERS USING UNSUPERVISED NEURAL NETWORKS

The motivation for this thesis work is the need for improving reliability of equipment and quality of service to railway passengers as well as a requirement for cost-effective and efficient condition maintenance management for rail transportation. This thesis work develops a fusion of various machine vision analysis methods to achieve high performance in automation of wooden rail track inspection.The condition monitoring in rail transport is done manually by a human operator where people rely on inference systems and assumptions to develop conclusions. The use of conditional monitoring allows maintenance to be scheduled, or other actions to be taken to avoid the consequences of failure, before the failure occurs. Manual or automated condition monitoring of materials in fields of public transportation like railway, aerial navigation, traffic safety, etc, where safety is of prior importance needs non-destructive testing (NDT).In general, wooden railway sleeper inspection is done manually by a human operator, by moving along the rail sleeper and gathering information by visual and sound analysis for examining the presence of cracks. Human inspectors working on lines visually inspect wooden rails to judge the quality of rail sleeper. In this project work the machine vision system is developed based on the manual visual analysis system, which uses digital cameras and image processing software to perform similar manual inspections. As the manual inspection requires much effort and is expected to be error prone sometimes and also appears difficult to discriminate even for a human operator by the frequent changes in inspected material. The machine vision system developed classifies the condition of material by examining individual pixels of images, processing them and attempting to develop conclusions with the assistance of knowledge bases and features.A pattern recognition approach is developed based on the methodological knowledge from manual procedure. The pattern recognition approach for this thesis work was developed and achieved by a non destructive testing method to identify the flaws in manually done condition monitoring of sleepers.In this method, a test vehicle is designed to capture sleeper images similar to visual inspection by human operator and the raw data for pattern recognition approach is provided from the captured images of the wooden sleepers. The data from the NDT method were further processed and appropriate features were extracted.The collection of data by the NDT method is to achieve high accuracy in reliable classification results. A key idea is to use the non supervised classifier based on the features extracted from the method to discriminate the condition of wooden sleepers in to either good or bad. Self organising map is used as classifier for the wooden sleeper classification.In order to achieve greater integration, the data collected by the machine vision system was made to interface with one another by a strategy called fusion. Data fusion was looked in at two different levels namely sensor-level fusion, feature- level fusion. As the goal was to reduce the accuracy of the human error on the rail sleeper classification as good or bad the results obtained by the feature-level fusion compared to that of the results of actual classification were satisfactory.

A methodology of health information security evaluation

With the conversion of paper health records to electronic health records, the health care sector is increasingly relying on technology to maintain the integrity of and update patients’ data. This reliance on technology requires an acute level of protection from technological disasters and/or threats of human error or sabotage. Research has shown there are inadequacies in the installation and use of security controls for health information records and that current methods of security analysis lack the techniques to analyse the technical and social aspects of security. This paper reports on progress towards development of a health information security evaluation methodology based on Unified Modelling Language techniques, and discusses an imminent case study that will be used for validation of the methodology.

Processes for disciplining nurses for unprofessional conduct of a serious nature : a critique

Aims: This paper critiques the deliberative processes used by the discipline panels of an Australian statutory nurse regulating authority when appraising the alleged unprofessional conduct of nurses and determining appropriate remedies.

Background: Little is known about the nature and effectiveness of the deliberative processes used by nurse regulating authorities (NRAs) disciplinary panels established to appraise and make determinations in response to allegations of unprofessional conduct by nurses.

Methods: A qualitative exploratory descriptive/pragmatic research approach was used. Data were obtained from two case-orientated sampling units: (1) 84 Reasons for Determination made between 1994 and 2000 and (2) a purposeful sample of 12 former and current nurse regulating authority members, nurse regulating authority staff and a nurse regulating authority representative who had experience of disciplinary proceedings and/or who had served on a formal hearing panel. Data were analysed using content and thematic analysis strategies.

Results: Attitudinal considerations (e.g. whether a nurse understood the 'wrongness' of his or her conduct; accepted responsibility for his or her conduct; exhibited contrition/shame during the hearing; was candid in his or her demeanour) emerged as the singularly most significant factor influencing discipline panel determinations. Disciplinary action is taken appropriately against nurses who have committed acts of deliberate malfeasance. NRAs may not, however, be dealing appropriately with nurses when disciplining them for making honest mistakes/genuine practice errors.

Conclusion: Traditional processes used for appraising and disciplining nurses who have made honest mistakes in the course of their work need to be substantially modified as they are at odds with the models of human error management that are currently being advocated and adopted globally to improve patient safety and quality of care in health care domains.