Homeowner investor subjects as providers of family care and assistance

Abstract

This article asks: What becomes of the idealized asset-accumulating investor subject rallied in asset-based welfare policy and discourse in the context of mounting social risks facing families? It brings into dialogue two disconnected literatures: one on financialized subjectivities, drawing on post-structuralist and Foucauldian analysis, the other on welfare states drawing more heavily on comparative political economy. Drawing on homeowner interviews in Melbourne (Australia), it identifies how parent homeowners’ devise housing strategies to manage their children’s housing welfare risks. Their housing investment and landlordism strategies align with financialized subjectivities, but other strategies subvert or reject these subject positions. Its first contribution is to specify how an Australian refamilization of welfare responsibilities, including for housing, is unfolding as processes of financialization erode the efficacy of growing state social spending. Its second contribution is to challenge the individual subject of asset-based welfare (ABW) and introduce intergenerational assistance as an under-explored contingency for ABW projects, and further driver for welfare inequalities between and within generations.     

Challenges in forming inferences from limited data: a case study of malaria parasite maturation

Inferring biological processes from population dynamics is a common challenge in ecology, particularly when faced with incomplete data. This challenge extends to inferring parasite traits from within-host infection dynamics. We focus on rodent malaria infections (Plasmodium berghei), a system for which previous work inferred an immune-mediated extension in the length of the parasite development cycle within red blood cells. By developing a system of delay-differential equations to describe within-host infection dynamics and simulating data, we demonstrate the potential to obtain biased estimates of parasite (and host) traits when key biological processes are not considered. Despite generating infection dynamics using a fixed parasite developmental cycle length, we find that known sources of measurement bias in parasite stage and abundance data can affect estimates of parasite developmental duration, with stage misclassification driving inferences about extended cycle length. We discuss alternative protocols and statistical methods that can mitigate such misestimation.     

Role network measures to assess healthcare team adaptation to complex situations: the case of venous thromboembolism prophylaxis

Hospitals are complex environments that rely on clinicians working together to provide appropriate care to patients. These clinical teams adapt their interactions to meet changing situational needs. Venous thromboembolism (VTE) prophylaxis is a complex process that occurs throughout a patient’s hospitalisation, presenting five stages with different levels of complexity: admission, interruption, re-initiation, initiation, and transfer. The objective of our study is to understand how the VTE prophylaxis team adapts as the complexity in the process changes; we do this by using social network analysis (SNA) measures. We interviewed 45 clinicians representing 9 different cases, creating 43 role networks. The role networks were analysed using SNA measures to understand team changes between low and high complexity stages. When comparing low and high complexity stages, we found two team adaptation mechanisms: (1) relative increase in the number of people, team activities, and interactions within the team, or (2) relative increase in discussion among the team, reflected by an increase in reciprocity.

 

Practitioner Summary: The reason for this study was to quantify team adaptation to complexity in a process using social network analysis (SNA). The VTE prophylaxis team adapted to complexity by two different mechanisms, by increasing the roles, activities, and interactions among the team or by increasing the two-way communication and discussion throughout the team. We demonstrated the ability for SNA to identify adaptation within a team.     

Stabilization of Sn Anode through Structural Reconstruction of a Cu–Sn Intermetallic Coating Layer

The metallic tin (Sn) anode is a promising candidate for next-generation lithium-ion batteries (LIBs) due to its high theoretical capacity and electrical conductivity. However, Sn suffers from severe mechanical degradation caused by large volume changes during lithiation/delithiation, which leads to a rapid capacity decay for LIBs application. Herein, a Cu–Sn (e.g., Cu₃Sn) intermetallic coating layer (ICL) is rationally designed to stabilize Sn through a structural reconstruction mechanism. The low activity of the Cu–Sn ICL against lithiation/delithiation enables the gradual separation of the metallic Cu phase from the Cu–Sn ICL, which provides a regulatable and appropriate distribution of Cu to buffer volume change of Sn anode. Concurrently, the homogeneous distribution of the separated Sn together with Cu promotes uniform lithiation/delithiation, mitigating the internal stress. In addition, the residual rigid Cu–Sn intermetallic shows terrific mechanical integrity that resists the plastic deformation during the lithiation/delithiation. As a result, the Sn anode enhanced by the Cu–Sn ICL shows a significant improvement in cycling stability with a dramatically reduced capacity decay rate of 0.03% per cycle for 1000 cycles. The structural reconstruction mechanism in this work shines a light on new materials and structural design that can stabilize high-performance and high-volume-change electrodes for rechargeable batteries and beyond.     

Copper@ZIF-8 Core-Shell Nanowires for Reusable Antimicrobial Face Masks

SARS-CoV-2 and other respiratory viruses spread via aerosols generated by infected people. Face masks can limit transmission. However, widespread use of disposable masks consumes tremendous resources and generates waste. Here, a novel material for treating blown polypropylene filtration media used in medical-grade masks to impart antimicrobial activity is reported. To produce thin copper@ZIF-8 core-shell nanowires (Cu@ZIF-8 NWs), Cu NWs are stabilized using a pluronic F-127 block copolymer, followed by growth of ZIF-8 to obtain uniform core-shell structures. The Cu@ZIF-8 NWs are applied to filtration media by dip coating. Aerosol filtration efficiency decreases upon exposure to ethanol (solvent for dip-coating), but increases with addition of Cu@ZIF-8 NWs. Cu@ZIF-8 NWs shows enhanced antibacterial activity, compared to Cu NWs or ZIF-8 alone, against Streptococcus mutans and Escherichia coli. Antiviral activity against SARS-CoV-2 is assayed using virus-infected Vero E6 cells, demonstrating 55% inhibition of virus replication after 48 h by 1 µg of Cu@ZIF-8 NWs per well. Cu@ZIF-8 NWs’ cytotoxicity is tested against four cell lines, and their effect on inflammatory response in A549 cells is examined, demonstrating good biocompatibility. This low-cost, scalable synthesis and straightforward deposition of Cu@ZIF-8 NWs onto filter media has great potential to reduce disease transmission, resource consumption, and environmental impact of waste.     

Experimental Evidence of an Age-Specific Shift in Chemical Detection of Predators in a Lizard

The risk posed by predation is one of the most fundamental aspects of an animal's environment. Avoidance of predators implies an ability to obtain reliable information about the risk of predation, and for many species, chemosensory cues are likely to be an important source of such information. Chemosensory cues reliably reveal the presence of predators or their presence in the recent past. We used retreat site selection experiments to test whether the Australian scincid lizard Eulamprus heatwoleiM uses chemical cues for predator detection and avoidance. Both adult and juvenile lizards were given the choice of retreat sites treated with scents from invertebrate predators, as well as sympatric and allopatric snake predators. Some of the snake predators were known to eat E. heatwolei, while others did not pose a predation threat. All invertebrate predators posed a risk to juveniles, but not adults because of their size. We found that juvenile E. heatwolei avoided predator odors more strongly than adults. Juveniles avoided both invertebrate predators and snakes, and the strongest response was toward the funnelweb spider, the only ambush predator used in this experiment. This result may demonstrate the importance of predator ecology in the evolution of predator detection mechanisms, with chemical cues being more useful in detecting sedentary predators than active predators. Adult lizards showed no avoidance behavior toward predator odors. This result suggests an age specific shift in predator avoidance behavior as lizards get older and become too large for many predators. However, adults showed no response to the odor from the red-bellied black snake, a known predator of adult E. heatwolei. This finding further demonstrates the importance of predator ecology when examining communication between predators and prey. Chemical cues, which are persistent long after predators have vacated the area, may not be useful in detecting the red-bellied black snake, a wide-ranging active forager.     

Thermal desorption behavior of hemiacetal,acetal, ether,and ester oligomers

Thermal desorption methods are widely used in the aerosol community to obtain information on particle volatility, and are often coupled with mass spectrometry to separate chemical components prior to analysis. One of the challenges of using these methods is that it is not yet clear how different components respond to temperature, in particular whether they desorb intact or decompose by reversible or irreversible reactions prior to desorption. In this study, we analyzed the thermal desorption behavior of four major classes of oligomers: hemiacetals, acetals, ethers, and esters, which are potentially present in secondary organic aerosol (SOA) and are primarily formed through particle-phase accretion reactions. The results show that when all four of these oligomers are desorbed in our thermal desorption particle beam mass spectrometer at ～160?°C on millisecond timescales (real-time analysis) they reach the ionization region as the intact oligomer. This is also true for acetal, ether, and ester oligomers desorbed at much lower temperatures on timescales of tens of minutes, whereas hemiacetal oligomers decompose reversibly to the original alcohol and aldehyde monomers. A key factor that influences the desorption behavior of oligomers appears to be whether reversible decomposition occurs by unimolecular rearrangement or whether it involves hydrolysis, and thus requires water that may be lost from particles during heating and thus not available for reversible decomposition prior to desorption. The results should aid others in interpreting thermal desorption analyses, and in extracting information about the linkages that bind oligomers and the types of accretion reactions by which they were formed.

Copyright © 2019 American Association for Aerosol Research     

Identification of Sulfur‐Containing Impurities in Biodiesel Produced From Brown Grease

Fatty acid methyl esters (FAME) from waste grease usually contain higher concentrations of sulfur (S) than allowed to meet the specified quality standard for biodiesel (<15 ppm). Brown grease lipid‐derived FAME was produced and fractionated by two passes through a wiped‐film evaporator (WFE) to produce three fractions: (1) a 120 °C pass distillate, (2) a 170 °C pass distillate, and (3) a heavy residue. Solid phase extraction (SPE) was used to concentrate the S species from the distillate fractions so that they could be detected by a gas chromatography–pulsed flame photometric detector (GC–PFPD) and GC–mass spectrometry (MS). The ethyl acetate and methanol (MeOH) fractions obtained by SPE of the 120 °C WFE distillate and methyl tert‐butyl ether and acetone fractions obtained by SPE of the 170 °C WFE distillate had the highest concentration of S and were, therefore, the best candidates for GC–PFPD analysis. GC–PFPD methods were developed to separate the S species adequately enough for those peaks to be analyzed by GC–MS which matched fragmentation patterns identified by the MS chemical library as tetrahydrothiophenes, dithiolanes, and thiophenes. MS fragmentation patterns were used to identify other, larger, S‐bearing species as sulfides and disulfides cross‐linking between two FAME molecules. The results obtained from this study provide a foundation for developing effective purification methods to remove S‐containing impurities from waste grease‐derived biodiesel.