Human recreational activity and its impact on a metropolitan coastline

Includes bibliography.Recreation has an important social function in modern societies, with ever-increasing pressures in the day-to-day life being felt by most people. This study addresses the impact of recreational activity on metropolitan shorelines, with particular reference to the False Bay shoreline. During summer holiday periods shoreline utilization in the Western Cape peaks on the public holidays of 26 December, 1 and 2 January, beach attendances reaching levels of 2 to 10 times higher than attendances on other days during the summer holidays. The greatest proportion of visitors to the beach (94%) engage in non-exploitative activities, such as sunbathing and swimming. Most visitors occur on the beaches between 12h00 and 16h00, week-ends being most popular during out-of-season periods, but in-season week day attendances exceed those of weekends. Only 6% of visitors surveyed were engaged in exploitative activities such as angling and bait- or food-gathering. Conservation awareness of visitors to the shore is related to the place of residence of the person, as well as activity engaged in by the person. Fish numbers and their size frequency distributions in protected areas differs to those of unprotected areas. If boulders on a sheltered shore are over-turned during bait gathering it has an adverse effect on the boulder communities, whether the boulders are replaced or left over-turned. When bait gatherers target on mussel-worms as bait, they may cause inadvertent damage to the primary matrix of mussel bed or tube-worm reef in the process, thereby affecting ecological succession processes in the intertidal environment. Management of metropolitan shorelines must therefore provide for quality recreational experiences, while applying conservation measures to selected areas that are susceptible to over-exploitation under the onslaught of ever-increasing numbers of recreationists. For such measures to be of any benefit to the marine environment, it is essential that people are not only informed, but that the regulations are also properly enforced

DNA barcoding of fresh seafood in Australian markets reveals misleading labelling and sale of endangered species

Flake and shark samples were purchased from outlets in several coastal Australian regions and genetically barcoded using the cytochrome oxidase subunit 1 (CO1) gene to investigate labelling reliability and species-specific sources of ambiguously labelled fillets. Of the 41 shark fillet samples obtained, 23 yielded high-quality CO1 sequences, out of which 57% (n = 13) were labelled ambiguously (misleading) and 35% (n = 8) incorrectly. In contrast, barramundi fillets, which are widely available and sought after in Australian markets, were shown to be accurately labelled. Species identified from shark samples, including the shortfin mako (n = 3) and the scalloped hammerhead (n = 1), are assessed by the IUCN as endangered and critically endangered, respectively, with several others classified as vulnerable and near threatened

Collision Cross Section Prediction with Molecular Fingerprint Using Machine Learning

High-resolution mass spectrometry is a promising technique in non-target screening (NTS) to monitor contaminants of emerging concern in complex samples. Current chemical identification strategies in NTS experiments typically depend on spectral libraries, chemical databases, and in silico fragmentation tools. However, small molecule identification remains challenging due to the lack of orthogonal sources of information (e.g., unique fragments). Collision cross section (CCS) values measured by ion mobility spectrometry (IMS) offer an additional identification dimension to increase the confidence level. Thanks to the advances in analytical instrumentation, an increasing application of IMS hybrid with high-resolution mass spectrometry (HRMS) in NTS has been reported in the recent decades. Several CCS prediction tools have been developed. However, limited CCS prediction methods were based on a large scale of chemical classes and cross-platform CCS measurements. We successfully developed two prediction models using a random forest machine learning algorithm. One of the approaches was based on chemicals’ super classes; the other model was direct CCS prediction using molecular fingerprint. Over 13,324 CCS values from six different laboratories and PubChem using a variety of ion-mobility separation techniques were used for training and testing the models. The test accuracy for all the prediction models was over 0.85, and the median of relative residual was around 2.2%. The models can be applied to different IMS platforms to eliminate false positives in small molecule identification

The role of communication, building relationships, and adaptability in non-profit organisational capacity for health promotion

While the non-profit sector has an integral role in health promotion, it is unclear whether these organisations have the capacity for health promotion activities. This study aims to explore and describe capacity changes of a non-profit organisation during a 3-year community-based nutrition intervention. The non-profit organisation, with 3800 members throughout the state of Queensland, Australia, implemented a 3-year food literacy community-based intervention. A team of qualified nutritionists delivered the program in partnership with community-based volunteers. A separate aim of the intervention was to build capacity of the non-profit organisation for health promotion. A qualitative study was undertaken, using a social constructivist approach to explore organisational capacity changes longitudinally. All relevant participants including non-profit executive managers and nutritionists were included in the study (100% response rate). Data collection included semi-structured interviews (n = 17) at multiple intervention time points and document analysis of program newsletters (n = 21). Interview transcripts and documents were analysed separately using thematic and content analysis. Codes and categories between the two data sources were then compared and contrasted to build themes. Organisational capacity was predominantly influenced by four themes; ‘communicating’, ‘changing relationships’, ‘limited organisational learning’ and ‘adaptability and resistance to change’. Developing non-profit organisational health promotion capacity appears to require focusing on fostering communication processes and building positive relationships over time. Capacity changes of the non-profit organisation were not linear, fluctuating across various levels over time. Assessing non-profit organisational capacity to implement community interventions by describing adaptive capacity, may help researchers focus on the processes that influence capacity development

Predicting RP-LC retention indices of structurally unknown chemicals from mass spectrometry data

Non-target analysis combined with liquid chromatography high resolution mass spectrometry is considered one of the most comprehensive strategies for the detection and identification of known and unknown chemicals in complex samples. However, many compounds remain unidentified due to data complexity and limited number structures in chemical databases. In this work, we have developed and validated a novel machine learning algorithm to predict the retention index (ri) values for structurally (un)known chemicals bIased on their measured fragmentation pattern. The developed model, for the first time, enabled the predication of r values without the need for the exact structure of the chemicals, with an R2 of 0.91 and 0.77 and root mean squared error (RMSE) of 47 and 67 ri  units for the NORMAN (n = 3131) and amide (n = 604) test sets, respectively. This fragment based model showed comparable accuracy in ri  prediction compared to conventional descriptor-based models that rely on known chemical structure, which obtained an R2 of 0.85 with an RMSE of 67

Epicardial echocardiography

The technique described in this thesis will be referred to as "epicardial echocardiography". The addition "intraoperative" is unnecessary, since "epicardial" presumes operative access to the heart. If the transducer is applied to the aorta or other great vessels after a median sternotomy, it would be more correctly to refer to the technique as "epivascular echography". However, for simplicity, this term will only be used if the transducer is applied to the descending thoracic and abdominal aorta after lateral thoracotomy or thoraco-abdominal incisions. The technique where the transducer is introduced into the esophagus during the operation will be referred to as "intraoperative esophageal echocardiography".4 The traditional approach of echocardiography, by placing the transducer upon the chest, will be referred to as "precordial" or "transthoracic echocardiography"