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In this study, an electromagnetic energy harvester for a low-frequency ocean wave was developed in a compact 3D-printed structure. Ocean wave energy conversion technologies exist, but maintaining them in the harsh marine environment is crucial for business. Friction increases maintenance costs. Therefore, magnetic levitation, being friction-free, is used for cost-effective, low-maintenance electromagnetic energy harvesting applications. Low-frequency oscillating energy is captured using repulsive magnetic levitation with a buoy and generating electricity using a permanent magnet and copper coil. A levitating magnet is repelled by a fixed one, inducing electricity as it passes through a coil. Experiments with a 0.1 Hz sine wave mimic the average frequency of ocean waves, showing successful voltage peaks at intervals. The output voltage and measured power from the harvester exhibit variations influenced by multiple parameters. The maximum output voltage observed was 3.4 V and an average of 99 mW of power was calculated. The experiment demonstrates the feasibility of using repulsive magnetic levitation for low-frequency wave energy harvesting and also encompasses various harvester configurations, including transfer magnet forces and top magnets.

Tropical cyclone Seroja was one of the first cyclones to strike near-equatorial regions of Indonesia and East Timor. The unusual cyclogenesis close to a land mass was due to “perfect storm” conditions associated with multiple wave interactions.

Although highly related, mental illness may not fully determine perceived well-being, a distinction captured by dual-continuum models. Separating mental illness and well-being into related but separate constructs prompted investigation into potential buffers to reduce the impact of mental illness on perceived well-being. This study explored two such buffers in health literacy and psychological resilience among Australian men. Using the Ten to Men Australian Longitudinal Study on Male Health, this secondary data analysis of n = 8,408 men between 18 and 60 years of age assessed the moderating effect of three components of health literacy (feeling supported by health care providers, ability to find health information, and active engagement with health care providers) and psychological resilience on the relationship between mental illness and well-being. Mental illness symptoms were negatively associated with well-being, whereas psychological resilience, active engagement with health care, and health care provider support (β res = .65, β eng = .28, and β sup = .25) had positive significant relationships with the outcome (all p ≤ .001). Ability to find health information ( p = .25) and psychological resilience ( p = .43) were not significantly associated with well-being. Of the four interactions tested, health literacy relating to health care worker support was the only significant moderator between mental illness and well-being (β sup = .03). This study identified that meaningful support and understanding from health care providers for Australian men aged between 18 and 60 years may somewhat ameliorate the impact of mental illness on well-being. Further related investigation may reveal specific interventions that improve perceptions of support among men.

Young people entering homelessness often do so while still at school. This study explores Australian teachers' and other student support staff perspectives of the experiences of students who are running away from home, the barriers to student help-seeking, and how local youth services can best support secondary schools to provide necessary services to keep students at school and at home or in some other form of safe and secure accommodation. The study revealed that although teachers and student support staff report awareness that student couch surfing exists; there are a range of barriers which prevent a student from seeking help. Teachers called for stronger relationships between schools and youth homelessness services to achieve a more effective and informed early intervention response. Teachers also asked for guidance on how to respond when students are homeless. The overall results have important implications for teacher education and practice as well as informing education welfare policies.

Abstract Objectives: To examine the prevalence of Australian Defence Force veterans among people sleeping rough and explore their health and social needs relative to non‐veteran rough sleepers. Method: Analysis of responses to the Vulnerability Index – Service Prioritisation Decision Assistance Tool (VI‐SPDAT) collected from 8,027 rough sleepers across five Australian States from 2010‐2017. Results: Veterans were found to comprise 5.6% of people sleeping rough in Australia, with veterans reporting having spent an average of 6.3 years on the street or in emergency accommodation (compared with an average of five years for their non‐veterans counterparts). Veterans had a higher prevalence of self‐reported physical health, mental health and social issues compared with non‐veteran rough sleepers. Conclusions: This is the first study of its kind to elucidate the presence of Australian veterans among people sleeping rough. That they are likely to have spent more years on the street, and have a higher prevalence of health and social issues, highlights the imperative for earlier intervention and prevention of veteran homelessness itself, and its health impacts. Implications for public health: Veteran homelessness has been comparatively hidden in Australia compared to other countries, and consequently the myriad of health, psychosocial and adjustment issues faced by homeless veterans has also been hidden. With heightened attention on veteran suicide and self‐harm, earlier intervention to prevent veterans becoming homeless constitutes sound public health prevention and mental health policy.

The typical diurnal variability of tropospheric winds over West Sumatra and their changes associated with El Niño Southern Oscillation, Quasi-Biennial Oscillation, Madden–Julian Oscillations and convectively coupled Kelvin waves during the extended boreal winter season are investigated based on nineteen years of observations from Equatorial Atmosphere Radar in Kototabang, Indonesia. Sub-diurnal wind variability is assessed based on the amplitude and phase of the diurnal (24 h) and semidiurnal (12 h) modes.The results show that composite diurnal variability is dominated by cloud-induced circulation and thermal tides. Although these sub-diurnal modes do not change the daily mean wind direction, they modulate velocities throughout the day. Typical diurnal evolution of the vertical wind component is consistent with changes in the latent heating profiles associated with the evolution of a cloud field from cumulus before noon to deep convection in the afternoon and stratiform clouds in the evening. El Niño Southern Oscillation and Quasi-Biennial Oscillation affect the mean tropospheric winds, throughout the troposphere and above 250 hPa, respectively, but do not affect sub-diurnal amplitudes. Eastward propagating Madden–Julian Oscillations and convectively coupled Kelvin waves impact both the mean and sub-diurnal tropospheric wind variability. Both horizontal and vertical winds show the largest variability in the lower and mid troposphere (below 400 hPa). The observed variability in the vertical wind component highlights that large-scale phenomena interact with both the local evolution and progression of a cloud field through dynamical feedback.

In this study, a magnetorheological fluid (MRF) was encapsulated in a 3D printed cellular elastomeric encapsulant. Mechanical properties, such as stiffness and damping, of the encapsulant containing MRFs can be controlled via applied magnetic field. Such tunability can be exploited for adaptive vibration control or energy absorption systems. Here, MRF prepared with silicon oil (40% volume fraction) was injected into the 3D printed thermoplastic polyurethane (TPU) cellular encapsulant. The wall adjacent to the sealing layer had a circular opening and a TPU membrane was bonded to its perimeter so that the pressurized MRF could flow through the opening and be accumulated in the resulting pocket. An external magnetic field (0–350 mT) was applied to the sample at the time of uniaxial dynamic testing with 5% pre-strain. The MRF-TPU composites were characterized via cyclic force-displacement tests (1 Hz) under displacement amplitudes. The area of the force-displacement curve of the system with an accumulator is about 26% greater than one without an accumulator. The effect of the accumulator on the mechanical properties of the MRF-TPU composites was studied with strain amplitude and magnetic fields.

Abstract As early detection of symptoms in the subclinical to clinical psychosis spectrum may improve health outcomes, knowing the probabilistic susceptibility of developing a disorder could guide mitigation measures and clinical intervention. In this context, polygenic risk scores (PRSs) quantifying the additive effects of multiple common genetic variants hold the potential to predict complex diseases and index severity gradients. PRSs for schizophrenia (SZ) and bipolar disorder (BD) were computed using Bayesian regression and continuous shrinkage priors based on the latest SZ and BD genome-wide association studies (Psychiatric Genomics Consortium, third release). Eight well-phenotyped groups (n = 1580; 56% males) were assessed: control (n = 305), lower (n = 117) and higher (n = 113) schizotypy (both groups of healthy individuals), at-risk for psychosis (n = 120), BD type-I (n = 359), BD type-II (n = 96), schizoaffective disorder (n = 86), and SZ groups (n = 384). PRS differences were investigated for binary traits and the quantitative Positive and Negative Syndrome Scale. Both BD-PRS and SZ-PRS significantly differentiated controls from at-risk and clinical groups (Nagelkerke’s pseudo-R 2: 1.3–7.7%), except for BD type-II for SZ-PRS. Out of 28 pairwise comparisons for SZ-PRS and BD-PRS, 9 and 12, respectively, reached the Bonferroni-corrected significance. BD-PRS differed between control and at-risk groups, but not between at-risk and BD type-I groups. There was no difference between controls and schizotypy. SZ-PRSs, but not BD-PRSs, were positively associated with transdiagnostic symptomology. Overall, PRSs support the continuum model across the psychosis spectrum at the genomic level with possible irregularities for schizotypy. The at-risk state demands heightened clinical attention and research addressing symptom course specifiers. Continued efforts are needed to refine the diagnostic and prognostic accuracy of PRSs in mental healthcare.

Floods are an important natural disaster on the Indonesian island of Sumatra, but their driving mechanisms are not well understood. Here, the authors utilize data from twitter messages and local newspaper reports to show that convectively coupled Kelvin waves play a key role in promoting floods on Sumatra.

The science guiding the EUREC4A campaign and its measurements is presented. EUREC4A comprised roughly 5 weeks of measurements in the downstream winter trades of the North Atlantic – eastward and southeastward of Barbados. Through its ability to characterize processes operating across a wide range of scales, EUREC4A marked a turning point in our ability to observationally study factors influencing clouds in the trades, how they will respond to warming, and their link to other components of the earth system, such as upper-ocean processes or the life cycle of particulate matter. This characterization was made possible by thousands (2500) of sondes distributed to measure circulations on meso- (200 km) and larger (500 km) scales, roughly 400 h of flight time by four heavily instrumented research aircraft; four global-class research vessels; an advanced ground-based cloud observatory; scores of autonomous observing platforms operating in the upper ocean (nearly 10 000 profiles), lower atmosphere (continuous profiling), and along the air–sea interface; a network of water stable isotopologue measurements; targeted tasking of satellite remote sensing; and modeling with a new generation of weather and climate models. In addition to providing an outline of the novel measurements and their composition into a unified and coordinated campaign, the six distinct scientific facets that EUREC4A explored – from North Brazil Current rings to turbulence-induced clustering of cloud droplets and its influence on warm-rain formation – are presented along with an overview of EUREC4A's outreach activities, environmental impact, and guidelines for scientific practice. Track data for all platforms are standardized and accessible at https://doi.org/10.25326/165 (Stevens, 2021), and a film documenting the campaign is provided as a video supplement.

Abstract Background We evaluated quality of life among subjects with upper- and lower-limb spasticity who received escalating doses of incobotulinumtoxinA (total body doses up to 800 U) in the prospective, single-arm, dose-titration TOWER study. Methods In this exploratory trial, subjects (N = 155; 18–80 years of age) with upper- and lower-limb spasticity due to cerebral causes who were deemed to require total body doses of up to 800 U incobotulinumtoxinA received three consecutive injection cycles of incobotulinumtoxinA (400, 600, and up to 800 U), each with 12 to 16 weeks’ follow-up. QoL was assessed using the EuroQol 5-dimensions questionnaire, three-level (EQ-5D), before and 4 weeks post-injection in each injection cycle and at the end of injection cycle 3. Results The mean EQ-5D visual analog scale scores of 155 participants continuously improved from study baseline to 4 weeks post-injection in all injection cycles (mean [standard deviation] change 6.7 [14.1], 9.6 [16.3], and 8.6 [17.0] for injection cycles 1, 2, and 3, respectively; p

Abstract Background Chronic homelessness is a problem characterised by longstanding inability to attain or maintain secure accommodation. Longitudinal research with homeless populations is challenging, and randomised controlled trials that evaluate the effectiveness of intensive, case management interventions aimed at improving housing and health-related outcomes for chronically homelessness people are scant. More research is needed to inform programmatic design and policy frameworks in this area. This study protocol details an evaluation of the Journey to Social Inclusion – Phase 2 program, an intervention designed to reduce homelessness and improve outcomes in chronically homeless adults. Methods/design J2SI Phase 2 is a three-year, mixed methods, multi-site, RCT that enrolled 186 participants aged 25 to 50 years between 07 January 2016 and 30 September 2016 in Melbourne. The intervention group (n = 90 recruited) receives the J2SI Phase 2 program, a trauma-informed intervention that integrates intensive case management and service coordination; transition to housing and support to sustain tenancy; and support to build social connections, obtain employment and foster independence. The comparison group (n = 96 recruited) receives standard service provision. Prior to randomisation, participants completed a baseline survey. Follow-up surveys will be completed every six months for three years (six in total). In addition to self-report data on history of homelessness and housing, physical and mental health, substance use, quality of life, social connectedness and public service utilisation, linked administrative data on participants’ public services utilisation (e.g., hospitalisation, justice system) will be obtained for the three-year period pre- and post-randomisation. Semi-structured, qualitative interviews will be conducted with a randomly selected subset of participants and service providers at three time-points to explore changes in key outcome variables and to examine individual experiences with the intervention and standard service provision. An economic evaluation of the intervention and associated costs will also be undertaken. Discussion Results of this trial will provide robust evidence on the effectiveness of J2SI Phase 2 compared to standard service provision. If the intervention demonstrates effectiveness in improving housing, health, quality-of-life, and other social outcomes, it may be considered for broader national and international dissemination to improve outcomes among chronically homeless adults. Trial registration Australian New Zealand Clinical Trials Registry ACTRN12616000162415 (retrospectively registered 10-February-2016).

The widespread temporal and spatial persistence of endosymbionts in arthropod host populations, despite potential conflicts with their hosts and fluctuating environmental conditions, is puzzling. Here, we disentangled three main mechanisms that are commonly proposed to explain such persistence, namely, obligatory relationships, in which the host is fully dependent on its endosymbiont, fitness advantages conferred by the endosymbiont, and reproductive manipulations imposed by the endosymbiont. Our model system reflects an extreme case, in which the Wolbachia endosymbiont persists in all female flea hosts but rarely in male ones. We cured fleas of both sexes of Wolbachia but found no indications for either lower reproduction, offspring survival, or a change in the offspring sex ratio, compared to Wolbacia-infected fleas. These results do not support any of the suggested mechanisms. We highlight future directions to advance our understanding of endosymbiont persistence in fleas, as well as in other model systems, with extreme sex-differences in endosymbiont persistence. Insights from such studies are predicted to shed light on the evolution and ecology of arthropod-endosymbiont interactions in nature.

The Journey to Social Inclusion (J2SI) Social Impact Investment (SII) is Victoria’s first social impact investment. It has two outcome payments, for stable housing and reduction in hospital bed days. Linked administrative data is being used to calculate the performance levels and outcome payments from the Victorian Government to J2SI. This paper discusses the methodologies and challenges encountered in the use of the linked administrative data for the calculation of the outcome payments for the J2SI SII. Introduction J2SI will receive half of the program costs for service delivery based on the level of performance of two outcome payments. The outcome payments are the difference between the results for the Intervention Group and the Control Group. The results are being calculated using linked administrative datasets for health, housing and justice, by the Centre for Victorian Data Linkage (CVDL) and the Centre for Social Impact, University of Western Australia (CSI UWA) respectively. Objectives and Approach The paper will outline the approach taken to calculate the results for the Intervention Group and the Control Group, explore the benefits and challenges of arising from different parties being involved in the calculations and present the lessons learned for future social impact bonds in Victoria and other States/Territories. Results The work has highlighted the importance of clearly understanding and documenting all of the datasets and how they are to be used prior to the commencement of the calculations. High level descriptions are not adequate preparation for the precision required for the actual calculations. The work has also highlighted the differences is using linked data for research and service implementation. Conclusion / Implications Linked administrative data is a robust source of data for the calculation of outcome payments for social impact investments. However, with the timeliness of payments important for service delivery and financing, thorough preparation for the calculation of the results and outcome payments is essential.

Atmospheric remote sensing has played a pivotal role in the increasingly sophisticated representation of clouds in the numerical models used to assess global and regional climate change. This has been accomplished because the underlying bulk cloud properties can be derived from a statistical analysis of the returned microwave signals scattered by a diverse ensemble comprised of numerous cloud hydrometeors. A new Doppler radar, previously used to track small debris particles shed from the NASA space shuttle during launch, is shown to also have the capacity to detect individual cloud hydrometeors in the free atmosphere. Similar to the traces left behind on film by subatomic particles, larger cloud particles were observed to leave a well-defined radar signature (or streak), which could be analyzed to infer the underlying particle properties. We examine the unique radar and environmental conditions leading to the formation of the radar streaks and develop a theoretical framework which reveals the regulating role of the background radar reflectivity on their observed characteristics. This main expectation from theory is examined through an analysis of the drop properties inferred from radar and in situ aircraft measurements obtained in two contrasting regions of an observed multicellular storm system. The observations are placed in context of the parent storm circulation through the use of the radar’s unique high-resolution waveforms, which allow the bulk and individual hydrometeor properties to be inferred at the same time.

Subseasonal-to-seasonal (S2S) forecasts have the potential to provide advance information about weather and climate events. The high heat capacity of water means that the subsurface ocean stores and re-releases heat (and other properties) and is an important source of information for S2S forecasts. However, the subsurface ocean is challenging to observe, because it cannot be measured by satellite. Subsurface ocean observing systems relevant for understanding, modeling, and forecasting on S2S timescales will continue to evolve with the improvement in technological capabilities. The community must focus on designing and implementing low-cost, high-value surface and subsurface ocean observations, and developing forecasting system capable of extracting their observation potential in forecast applications. S2S forecasts will benefit significantly from higher spatio-temporal resolution data in regions that are sources of predictability on these timescales (coastal, tropical, and polar regions). While ENSO has been a driving force for the design of the current observing system, the subseasonal time scales present new observational requirements. Advanced observation technologies such as autonomous surface and subsurface profiling devices as well as satellites that observe the ocean-atmosphere interface simultaneously can lead to breakthroughs in coupled data assimilation (CDA) and coupled initialization for S2S forecasts. These observational platforms should also be tested and evaluated in ocean observation sensitivity experiments with current and future generation CDA and S2S prediction systems. Investments in the new ocean observations as well as model and DA system developments can lead to substantial returns on cost savings from disaster mitigation as well as socio–economic decisions that use S2S forecast information.

Alfenol (Fe-Al) and Galfenol (Fe-Ga) are iron-based structural magnetostrictive alloys that, for compositions of ∼81% iron, are increasingly being used in sensing, actuating, and energy harvesting devices [Park et al., AIP Advances 6(5), 056221 (2016)]. Recent improvements in the development of magnetostrictive materials using the deformation processing methods of rolling to produce highly textured thin sheet [Park et al., AIP Advances 6(5), 056221 (2016)] and ball milling to produce (001)-oriented micron-size flakes [S. M. Na, J. Galuardi, and A. B. Flatau, IEEE Transactions on Magnetics 53(11), 1–4 (2017)] provide the opportunity to develop a non-contact torque sensor. Torque-induced shear forces at the surface of a shaft lead to a measurable change in the flux passing through the air above the surface of a shaft to which a magnetostrictive layer has been bonded. The current study builds on prior work which demonstrated that torque influenced the magnitude of magnetic flux in the air gaps located between a piece of Galfenol and the rest of a magnetic circuit [Raghunath et al., Proceedings of the ASME, 2013]. The current work overcomes limitations of the prior work. This work demonstrates that using a magnetostrictive layer made of a patch of Alfenol, an alloy that is less expensive, more ductile, and less magnetostrictive than Galfenol, but has almost the same saturation magnetization of ∼1.5T, slightly outperformed the patches made of Galfenol. Additional contributions of the present work include a first look at the application to a shaft of an epoxy-based paint containing micron-sized flakes of (001)-oriented Galfenol, and a comparison of square and ring-shaped patches (aspect ratios of 1 and of ∼4). Data are presented from quasi-static testing and from dynamic tests at rotational rates of up to 1000 rpm.

Galfenol is a magnetostrictive alloy used in sensing, actuating, and energy harvesting devices. Developing protocols for making thin sheet Galfenol with abnormally grown Goss or Cube grains is challenging because the mechanisms that regulate grain boundary mobility and texture development in these alloys are not well understood. Grain boundary energy models do not account for extraneous driving forces caused by the control of surface energy from atmospheric annealing conditions. By characterizing the surface energy of specific Galfenol grains at room temperature, we can develop a more accurate thermodynamic-based framework for modeling abnormal grain growth and texture development. This will be used to understand why a high temperature atmospheric anneal under 0.5%H2S in Ar transforms myriad grains into highly textured, single-crystal-like polycrystalline material while pure Ar does not. To experimentally measure surface energy, we have developed a non-destructive process to directly probe highly-textured and single-crystal Galfenol. The process involves high quality polishing to sub-nanometer roughness, Ar plasma cleaning to remove native oxides, and preserving the bare metal surface by immersion in hydrocarbon liquid. In this bulk hydrocarbon liquid, we use the two-liquid-phase contact angle method to measure surface energy. Experimental surface energy values on single crystals agree with DFT calculations, confirming the validity of this process. We use this method to observe a decrease in surface energy for sulfur contaminated Galfenol.