Homeownership and Unemployment: The Roles of Leverage and Public Housing

Oswald hypothesizes that regions and countries with high homeownership rates will experience higher natural rates of unemployment and that rising homeownership in OECD countries since the 1960s provides a key explanation for the rise in the natural rate of unemployment over the same time period. Recent tests of the Oswald thesis have found the opposite. This study differs from earlier ones both by considering different states of ownership (degrees of leverage) and types of tenancy (private, public, and rent-free) and by examining data from Australia, rather than the U.S. We demonstrate that the recent anti-Oswald results are the result of (1) highly leveraged owners having a greater incentive to remain employed and to become reemployed more rapidly that outright owners and (2) those paying below-market rents having a lower incentive to avoid unemployment or become reemployed than those paying market rents. The only positive Oswald result is that females who are outright owners have significantly slower exits from unemployment. Overall, homeownership does not increase unemployment. Finally, in line with expectations but in contrast to some earlier studies, our results indicate a significant impact of the predicted replacement ratio (unemployment benefits to wage if reemployed) on unemployment behavior. Persons with a higher predicted ratio are significantly more likely to become unemployed, and unemployed females with a higher predicted replacement ratio have longer unemployment spells than those with lower predicted ratios.

Using satellite and reanalysis data to evaluate the representation of latent heating in extratropical cyclones in a climate model

Extratropical cyclones are a key feature of the weather in the extratropics, which climate models need to represent in order to provide reliable projections of future climate. Extratropical cyclones produce significant precipitation and the associated latent heat release can play a major role in their development. This study evaluates the ability of a climate model, HiGEM, to represent latent heating in extratropical cyclones. Remote sensing data is used to investigate the ability of both the climate model and ERA-Interim (ERAI) reanalysis to represent extratropical cyclone cloud features before latent heating itself is assessed. An offline radiance simulator, COSP, and the ISCCP and CloudSat datasets are used to evaluate comparable fields from HiGEM and ERAI. HiGEM is found to exhibit biases in the cloud structure of extratropical cyclones, with too much high cloud produced in the warm conveyor belt region compared to ISCCP. Significant latent heating occurs in this region, derived primarily from HiGEM’s convection scheme. ERAI is also found to exhibit biases in cloud structure, with more clouds at lower altitudes than those observed in ISCCP in the warm conveyor belt region. As a result, latent heat release in ERAI is concentrated at lower altitudes. CloudSat indicates that much precipitation may be produced at too low an altitude in both HiGEM and ERAI, particularly ERAI, and neither capture observed variability in precipitation intensity. The potential vorticity structure in composite extratropical cyclones in HiGEM and ERAI is also compared. A more pronounced tropopause ridge evolves in HiGEM on the leading edge of the composite as compared to ERAI. One future area of research to be addressed is what impact these biases in the representation of latent heating have on climate projections produced by HiGEM. The biases found in ERAI indicate caution is required when using reanalyses to study cloud features and precipitation processes in extratropical cyclones or using reanalysis to evaluate climate models’ ability to represent their structure

The complex radio and X-ray structure in the nuclear regions of the active galaxy NGC1365

We present a multiwavelength analysis of the prominent active galaxy NGC1365, in particular looking at the radio and X-ray properties of the central regions of the galaxy. We analyse ROSAT observations of NGC1365, and discuss recent ASCA results. In addition to a number of point sources in the vicinity of NGC1365, we find a region of X-ray emission extending along the central bar of the galaxy, combined with an emission peak near the centre of the galaxy. This X-ray emission is centred on the optical/radio nucleus, but is spatially extended. The X-ray spectrum can be well fitted by a thermal plasma model, with kT=0.6-0.8keV and a low local absorbing column. The thermal spectrum is suggestive of starburst emission rather than emission from a central black-hole. The ATCA radio observations show a number of hotspots, located in a ring around a weak radio nucleus. Synchrotron emission from electrons accelerated by supernovae and supernova remnants (SNRs) is the likely origin of these hotspots. The radio nucleus has a steep spectrum, indicative perhaps of an AGN or SNRs. The evidence for a jet emanating from the nucleus is at best marginal. The extent of the radio ring is comparable to the extended central X-ray source.Comment: 13 pages, 5 figures, to be published in MNRA

Exploring changes in patient experience with increasing practice size: observational study using data from the General Practice Patient Survey

Background For the last few years, English general practices, which are traditionally small, have been encouraged to work together to serve larger populations of registered patients, by merging or collaborating with each other. Meanwhile, patient surveys suggest worsening continuity of care and access to care. Aim To explore whether increasing size of practice population and working collaboratively are linked to changes in continuity of care or access to care. Design and setting Observational study in English general practice using data on patient experience, practice size and collaborative working Methods The main outcome measures were General Practice Patient Survey practice-level proportions of patients reporting positive experiences of access and relationship continuity of care. We compared change in proportions 2013-2018 among practices that had grown and those that had stayed about the same size. We also compared patients’ experiences by whether practices were working in close collaborations or not in 2018. Results. Practices that had grown in population size had a greater percentage fall in continuity of care, by 6.6% (95% confidence interval 4.3% to 8.9%) than practices that had stayed about the same size, after controlling for other factors. There was no similar difference in relation to access to care. Practices collaborating closely with others had marginally worse continuity of care than those not working in collaboration and no important differences in access. Conclusion Concerns that larger general practice size threatens continuity of care may be justified

Automation of duplicate record detection for systematic reviews: Deduplicator

Background: To describe the algorithm and investigate the efficacy of a novel systematic review automation tool “the Deduplicator” to remove duplicate records from a multi-database systematic review search. Methods: We constructed and tested the efficacy of the Deduplicator tool by using 10 previous Cochrane systematic review search results to compare the Deduplicator’s ‘balanced’ algorithm to a semi-manual EndNote method. Two researchers each performed deduplication on the 10 libraries of search results. For five of those libraries, one researcher used the Deduplicator, while the other performed semi-manual deduplication with EndNote. They then switched methods for the remaining five libraries. In addition to this analysis, comparison between the three different Deduplicator algorithms (‘balanced’, ‘focused’ and ‘relaxed’) was performed on two datasets of previously deduplicated search results. Results: Before deduplication, the mean library size for the 10 systematic reviews was 1962 records. When using the Deduplicator, the mean time to deduplicate was 5 min per 1000 records compared to 15 min with EndNote. The mean error rate with Deduplicator was 1.8 errors per 1000 records in comparison to 3.1 with EndNote. Evaluation of the different Deduplicator algorithms found that the ‘balanced’ algorithm had the highest mean F1 score of 0.9647. The ‘focused’ algorithm had the highest mean accuracy of 0.9798 and the highest recall of 0.9757. The ‘relaxed’ algorithm had the highest mean precision of 0.9896. Conclusions: This demonstrates that using the Deduplicator for duplicate record detection reduces the time taken to deduplicate, while maintaining or improving accuracy compared to using a semi-manual EndNote method. However, further research should be performed comparing more deduplication methods to establish relative performance of the Deduplicator against other deduplication methods.</p

VCU Jazz Orchestra I

First half of performanc

Reviews and syntheses: Tufa microbialites on rocky coasts towards an integrated terminology

Microbialites are known from a range of terrestrial, freshwater, marine, and marginal settings. The descriptive terminology used in each instance depends largely on the historical legacy derived from previous studies in similar environments. This has led to a diversity of nomenclature and a lack of conformity in the terms used to describe and categorise microbialites. As the role of microbial mats and biofilms is increasingly recognised in the formation of tufa and terrestrial carbonates, deposits such as tufa microbialites bridge the spectrum of microbialites and terrestrial carbonate deposits. Groundwater spring-fed tufa microbialites in supratidal rock coast environments that occur at the interface of terrestrial and marine domains demonstrate the need for an integrative and systematic nomenclature approach. To date, their global distribution and complex relationships with pre-defined deposits have resulted in the application of a variety of descriptive terminologies, most frequently at the macro- and mesoscale. Here we review and consolidate the multi-scale library of terminologies for microbialites and present a new geomorphological scheme for their description and classification. This scheme has greater alignment with terrestrial carbonate nomenclature at the macroscale and with marine and lacustrine microbialites at the mesoscale. The proposed terminology can primarily be applied to tufa microbialites in spring-fed supratidal environments but may also be applicable in other relevant depositional environments including terrestrial carbonates, microbial mats, and other microbialites

Aptamer-based multiplexed proteomic technology for biomarker discovery

Interrogation of the human proteome in a highly multiplexed and efficient manner remains a coveted and challenging goal in biology. We present a new aptamer-based proteomic technology for biomarker discovery capable of simultaneously measuring thousands of proteins from small sample volumes (15 [mu]L of serum or plasma). Our current assay allows us to measure ~800 proteins with very low limits of detection (1 pM average), 7 logs of overall dynamic range, and 5% average coefficient of variation. This technology is enabled by a new generation of aptamers that contain chemically modified nucleotides, which greatly expand the physicochemical diversity of the large randomized nucleic acid libraries from which the aptamers are selected. Proteins in complex matrices such as plasma are measured with a process that transforms a signature of protein concentrations into a corresponding DNA aptamer concentration signature, which is then quantified with a DNA microarray. In essence, our assay takes advantage of the dual nature of aptamers as both folded binding entities with defined shapes and unique sequences recognizable by specific hybridization probes. To demonstrate the utility of our proteomics biomarker discovery technology, we applied it to a clinical study of chronic kidney disease (CKD). We identified two well known CKD biomarkers as well as an additional 58 potential CKD biomarkers. These results demonstrate the potential utility of our technology to discover unique protein signatures characteristic of various disease states. More generally, we describe a versatile and powerful tool that allows large-scale comparison of proteome profiles among discrete populations. This unbiased and highly multiplexed search engine will enable the discovery of novel biomarkers in a manner that is unencumbered by our incomplete knowledge of biology, thereby helping to advance the next generation of evidence-based medicine

Synchronized cycles of bacterial lysis for in vivo delivery

The pervasive view of bacteria as strictly pathogenic has given way to an ppreciation of the widespread prevalence of beneficial microbes within the human body. Given this milieu, it is perhaps inevitable that some bacteria would evolve to preferentially grow in environments that harbor disease and thus provide a natural platform for the development of engineered therapies. Such therapies could benefit from bacteria that are programmed to limit bacterial growth while continually producing and releasing cytotoxic agents in situ. Here, we engineer a clinically relevant bacterium to lyse synchronously at a threshold population density and to release genetically encoded cargo. Following quorum lysis, a small number of surviving bacteria reseed the growing population, thus leading to pulsatile delivery cycles. We use microfluidic devices to characterize the engineered lysis strain and we demonstrate its potential as a drug deliver platform via co-culture with human cancer cells in vitro. As a proof of principle, we track the bacterial population dynamics in ectopic syngeneic colorectal tumors in mice. The lysis strain exhibits pulsatile population dynamics in vivo, with mean bacterial luminescence that remained two orders of magnitude lower than an unmodified strain. Finally, guided by previous findings that certain bacteria can enhance the efficacy of standard therapies, we orally administer the lysis strain, alone or in combination with a clinical chemotherapeutic, to a syngeneic transplantation model of hepatic colorectal metastases. We find that the combination of both circuit-engineered bacteria and chemotherapy leads to a notable reduction of tumor activity along with a marked survival benefit over either therapy alone. Our approach establishes a methodology for leveraging the tools of synthetic biology to exploit the natural propensity for certain bacteria to colonize disease sites.National Institute of General Medical Sciences (U.S.) (GM069811)San Diego Center for Systems Biology (P50 GM085764)National Cancer Institute (U.S.). Swanson Biotechnology Center (Koch Institute Support Grant (P30-CA14051))National Institute of Environmental Health Sciences (Core Center Grant (P30- ES002109))National Institutes of Health (U.S.) (NIH Pathway to Independence Award NIH (K99 CA197649-01))Misrock Postdoctoral fellowshipNational Defense Science and Engineering Graduate (NDSEG) Fellowshi

Upland Peatlands of Eastern Australia as Important Water Storage Reservoirs

The Greater Blue Mountains World Heritage Area contains over 5,000 ha of peat forming upland swamps (n = 1,858) and numerous freshwater lagoons and lakes such as the Thirlmere Lakes southwest of Sydney. These systems are well known for their water storage capacity, even during dry spells. Here we use peat depth measurements and water content calculations to quantify potential water storage capacity within Lake Baraba in the Thirlmere Lakes National Park. We fi nd that total water storage capacity of the peat in Lake Baraba is 150±17.3 ML. We also calculate total water storage of peat-forming upland swamps across the Blue Mountains World Heritage Area which totals ~60,600 ±33,500 ML. The implications of climate change and anthropogenic disturbance on the water storage and supply functions of these systems as part of the Sydney water supply catchment provides a strong case for their conservation