4,032 research outputs found

    Linguistic aspects of the development of derivative suffixing in English

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    Call number: LD2668 .T4 1968 R45Master of Art

    Doctor of Philosophy

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    dissertationEnzymatic biofuel cells use enzymes to catalyze electrochemical reactions, directly converting chemical energy to electricity. In this research, three enzymatic biofuel cell devices were created and a focus was placed on their electrode structure in order to improve current density, power density, and/or biocompatibility. The first device, a flow-through glucose biofuel cell, was fabricated from laser-cut poly(methyl methacrylate) and utilized a porous anode to increase current density through improved mass transfer. The maximum current and power density of 705 μA cm-2 and 146 μW cm-2 were among the highest for a flowing biofuel cell in the literature. The second device was a contact lens lactate biofuel cell fabricated in two iterations: one using buckypaper electrodes and the other with carbon paste electrodes, both electrode types being molded into a contact lens. These were the first reported examples of a biofuel cell on a contact lens. The first prototype suffered from poor stability as well as biocompatibility issues, but the second prototype was more stable and amenable to possibly being worn on the eye. The current and power density of the second prototype were, respectively, 22 ± 4 μA cm-2 and 2.4 ± 0.9 μW cm-2 at 0.18 ± 0.06 V. As the device was limited by its cathode, simulations were created to investigate two important factors: carbon nanotube (CNT) connectivity to the electrode and enzyme loading on the CNT surface. It was found that ca. 20% of the CNTs were connected to the electrode; furthermore, only 1-2% of the enzyme was wired to the electrode through the CNT network and roughly 20% of the CNT surfaces were in communication with enzyme. The ferrocene redox polymer/lactate oxidase enzyme-mediator anode system used on the second contact lens biofuel cell prototype performed very well, so it was also used in the third device-a self-powered lactate sensor. Coupled with a bilirubin oxidase cathode, the sensor had a detection range between 0-5 mM lactate, a sensitivity of 45 μA cm-2 mM-1, and a current and power density of 657 ± 17 μA cm-2, 122 ± 5 μW cm-2, respectively

    Economic abuse between intimate partners in Australia: Prevalence, health status, disability and financial stress

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    Objective: Economic abuse is a form of domestic violence that has a significant impact on the health and financial wellbeing of victims, but is understudied. This study determined the lifetime prevalence of economic abuse in Australia by age and gender, and the associated risk factors. Methods: The 2012 ABS Personal Safety Survey was used, involving a cross-sectional population survey of 17,050 randomly selected adults using face-to-face interviews. The survey-weighted prevalence of economic abuse was calculated and analysed by age and gender. Logistic regression was used to adjust odds ratios for possible confounding between variables. Results: The lifetime prevalence of economic abuse in the whole sample was 11.5%. Women in all age groups were more likely to experience economic abuse (15.7%) compared to men (7.1%). Disability, health and financial stress status were significant markers of economic abuse. Conclusions: For women, financial stress and disability were important markers of economic abuse. However, prevalence rates were influenced by the measures used and victims' awareness of the abuse, which presents a challenge for screening and monitoring. Implications for public health: Social, health and financial services need to be aware of and screen for the warning signs of this largely hidden form of domestic violence

    Small-Column Cesium Ion Exchange Elution Testing of Spherical Resorcinol-Formaldehyde

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    This report summarizes the work performed to evaluate multiple, cesium loading, and elution cycles for small columns containing SRF resin using a simple, high-level waste (HLW) simulant. Cesium ion exchange loading and elution curves were generated for a nominal 5 M Na, 2.4E-05 M Cs, 0.115 M Al loading solution traced with 134Cs followed by elution with variable HNO3 (0.02, 0.07, 0.15, 0.23, and 0.28 M) containing variable CsNO3 (5.0E-09, 5.0E-08, and 5.0E-07 M) and traced with 137Cs. The ion exchange system consisted of a pump, tubing, process solutions, and a single, small ({approx}15.7 mL) bed of SRF resin with a water-jacketed column for temperature-control. The columns were loaded with approximately 250 bed volumes (BVs) of feed solution at 45 C and at 1.5 to 12 BV per hour (0.15 to 1.2 cm/min). The columns were then eluted with 29+ BVs of HNO3 processed at 25 C and at 1.4 BV/h. The two independent tracers allowed analysis of the on-column cesium interaction between the loading and elution solutions. The objective of these tests was to improve the correlation between the spent resin cesium content and cesium leached out of the resin in subsequent loading cycles (cesium leakage) to help establish acid strength and purity requirements

    Outcome following valve surgery in Australia: Development of an enhanced database module

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    Background: Valvular heart disease, including rheumatic heart disease (RHD), is an important cause of heart disease globally. Management of advanced disease can include surgery and other interventions to repair or replace affected valves. This article summarises the methodology of a study that will incorporate enhanced data collection systems to provide additional insights into treatment choice and outcome for advanced valvular disease including that due to RHD. Methods: An enhanced data collection system will be developed linking an existing Australian cardiac surgery registry to more detailed baseline co-morbidity, medication, echocardiographic and hospital separation data to identify predictors of morbidity and mortality outcome following valve surgery. Discussion: This project aims to collect and incorporate more detailed information regarding pre and postoperative factors and subsequent morbidity. We will use this to provide additional insights into treatment choice and outcome. © 2017 The Author(s)

    Seeking help for depression from family and friends: A qualitative analysis of perceived advantages and disadvantages

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    BACKGROUND People with depression often seek help from family and friends and public health campaigns frequently encourage such help seeking behaviours. However, there has been little systematically collected empirical data concerning the effects of such informal help seeking. The current study sought to investigate the views of consumers about the advantages and disadvantages of seeking support from family and friends for depression. METHODS Participants were the subset of 417 respondents to a survey, sent to 7000 randomly selected members of an Australian electoral community, who indicated that they had sought help for depression from family or friends. One item on the survey asked participants to indicate the advantages or disadvantages of seeking help from family or friends. A coding system was developed based on a content analysis of the responses to the item. Each of the responses was then coded by two raters. RESULTS Respondents identified both advantages and disadvantages of seeking support from friends. The most commonly cited advantage was social support (n = 282) including emotional support (n = 154), informational support (n = 93), companionship support (n = 36) and instrumental support (n = 23). Other advantages related to family's or friend's background knowledge of the person and their circumstances (n = 72), the opportunity to offload the burden associated with depression (n = 62), the personal attributes of family and friends (n = 49), their accessibility (n = 36), and the opportunity to educate family and friends and increase their awareness about the respondent's depression (n = 30). The most commonly cited disadvantages were stigma (n = 53), inappropriate support (n = 45), the family member's lack of knowledge, training and expertise (n = 32) and the adverse impact of the help seeking on the family/friend (n = 20) and the relationship (n = 18). CONCLUSIONS Family and friends are well placed to provide support which consumers perceive to be positive and which can assist them in obtaining formal mental health treatment. However, the input of some family members may be unhelpful or toxic. There may be benefits in undertaking community education and destigmatisation programs which target carers.Kathleen Griffiths is supported by NHMRC Fellowship 525413. Lisa Barney is supported by NHMRC Capacity Building Grant No. 41802

    Fibroblast growth factor (FGF) signaling in development and skeletal diseases

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    AbstractFibroblast growth factors (FGF) and their receptors serve many functions in both the developing and adult organism. Humans contain 18 FGF ligands and four FGF receptors (FGFR). FGF ligands are polypeptide growth factors that regulate several developmental processes including cellular proliferation, differentiation, and migration, morphogenesis, and patterning. FGF-FGFR signaling is also critical to the developing axial and craniofacial skeleton. In particular, the signaling cascade has been implicated in intramembranous ossification of cranial bones as well as cranial suture homeostasis. In the adult, FGFs and FGFRs are crucial for tissue repair. FGF signaling generally follows one of three transduction pathways: RAS/MAP kinase, PI3/AKT, or PLCγ. Each pathway likely regulates specific cellular behaviors. Inappropriate expression of FGF and improper activation of FGFRs are associated with various pathologic conditions, unregulated cell growth, and tumorigenesis. Additionally, aberrant signaling has been implicated in many skeletal abnormalities including achondroplasia and craniosynostosis. The biology and mechanisms of the FGF family have been the subject of significant research over the past 30 years. Recently, work has focused on the therapeutic targeting and potential of FGF ligands and their associated receptors. The majority of FGF-related therapy is aimed at age-related disorders. Increased understanding of FGF signaling and biology may reveal additional therapeutic roles, both in utero and postnatally. This review discusses the role of FGF signaling in general physiologic and pathologic embryogenesis and further explores it within the context of skeletal development

    Learning Personalized Models of Human Behavior in Chess

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    Even when machine learning systems surpass human ability in a domain, there are many reasons why AI systems that capture human-like behavior would be desirable: humans may want to learn from them, they may need to collaborate with them, or they may expect them to serve as partners in an extended interaction. Motivated by this goal of human-like AI systems, the problem of predicting human actions -- as opposed to predicting optimal actions -- has become an increasingly useful task. We extend this line of work by developing highly accurate personalized models of human behavior in the context of chess. Chess is a rich domain for exploring these questions, since it combines a set of appealing features: AI systems have achieved superhuman performance but still interact closely with human chess players both as opponents and preparation tools, and there is an enormous amount of recorded data on individual players. Starting with an open-source version of AlphaZero trained on a population of human players, we demonstrate that we can significantly improve prediction of a particular player's moves by applying a series of fine-tuning adjustments. Furthermore, we can accurately perform stylometry -- predicting who made a given set of actions -- indicating that our personalized models capture human decision-making at an individual level.Comment: The current version of the paper corrects data processing problems present in the previous version. 21 pages, 13 figures, 7 tables (one very long

    Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess

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    The advent of machine learning models that surpass human decision-making ability in complex domains has initiated a movement towards building AI systems that interact with humans. Many building blocks are essential for this activity, with a central one being the algorithmic characterization of human behavior. While much of the existing work focuses on aggregate human behavior, an important long-range goal is to develop behavioral models that specialize to individual people and can differentiate among them. To formalize this process, we study the problem of behavioral stylometry, in which the task is to identify a decision-maker from their decisions alone. We present a transformer-based approach to behavioral stylometry in the context of chess, where one attempts to identify the player who played a set of games. Our method operates in a few-shot classification framework, and can correctly identify a player from among thousands of candidate players with 98% accuracy given only 100 labeled games. Even when trained on amateur play, our method generalises to out-of-distribution samples of Grandmaster players, despite the dramatic differences between amateur and world-class players. Finally, we consider more broadly what our resulting embeddings reveal about human style in chess, as well as the potential ethical implications of powerful methods for identifying individuals from behavioral data.Comment: 23 pages, 7 figures, 9 tables, In Advances in Neural Information Processing Systems 34 (NeurIPS 2021

    Engineering novel complement activity into a pulmonary surfactant protein

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    Complement neutralizes invading pathogens, stimulates inflammatory and adaptive immune responses, and targets non- or altered-self structures for clearance. In the classical and lectin activation pathways, it is initiated when complexes composed of separate recognition and activation subcomponents bind to a pathogen surface. Despite its apparent complexity, recognition-mediated activation has evolved independently in three separate protein families, C1q, mannose-binding lectins (MBLs), and serum ficolins. Although unrelated, all have bouquet-like architectures and associate with complement-specific serine proteases: MBLs and ficolins with MBL-associated serine protease-2 (MASP-2) and C1q with C1r and C1s. To examine the structural requirements for complement activation, we have created a number of novel recombinant rat MBLs in which the position and orientation of the MASP-binding sites have been changed. We have also engineered MASP binding into a pulmonary surfactant protein (SP-A), which has the same domain structure and architecture as MBL but lacks any intrinsic complement activity. The data reveal that complement activity is remarkably tolerant to changes in the size and orientation of the collagenous stalks of MBL, implying considerable rotational and conformational flexibility in unbound MBL. Furthermore, novel complement activity is introduced concurrently with MASP binding in SP-A but is uncontrolled and occurs even in the absence of a carbohydrate target. Thus, the active rather than the zymogen state is default in lectin·MASP complexes and must be inhibited through additional regions in circulating MBLs until triggered by pathogen recognition
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