A second-order PHD filter with mean and variance in target number

The Probability Hypothesis Density (PHD) and Cardinalized PHD (CPHD) filters are popular solutions to the multi-target tracking problem due to their low complexity and ability to estimate the number and states of targets in cluttered environments. The PHD filter propagates the first-order moment (i.e. mean) of the number of targets while the CPHD propagates the cardinality distribution in the number of targets, albeit for a greater computational cost. Introducing the Panjer point process, this paper proposes a second-order PHD filter, propagating the second-order moment (i.e. variance) of the number of targets alongside its mean. The resulting algorithm is more versatile in the modelling choices than the PHD filter, and its computational cost is significantly lower compared to the CPHD filter. The paper compares the three filters in statistical simulations which demonstrate that the proposed filter reacts more quickly to changes in the number of targets, i.e., target births and target deaths, than the CPHD filter. In addition, a new statistic for multi-object filters is introduced in order to study the correlation between the estimated number of targets in different regions of the state space, and propose a quantitative analysis of the spooky effect for the three filters

Practices of shared living: Exploring environmental sustainability in UK cohousing, community living, and coliving

The environmental impacts of the UK's domestic sector must be lowered if they are to meet UK government greenhouse gas emissions (GHGs) reduction targets. However, government initiatives to lower domestic GHGs have had little success, and progress has been too slow. Given this lack of top-down impetus, it is worth investigating alternative housing solutions. Previous research has shown that shared living - in which residents share spaces, resources, and social time - tends to have lower environmental impacts than the average household. However, this issue has not yet been explored within the UK. There is also research which shows that social networks can be effective in encouraging practice transitions and maintenance. This has not yet been thoroughly investigated within the context of shared living and environmental sustainability. This research aimed to explore the practices and infrastructures which enable pro-environmental outcomes within shared living. This aim was achieved through in-depth research in six shared living case studies. The research mainly adopted an ethnographic approach, complemented by quantitative measurement of GHGs. This research shows that the shared living case studies have significantly lower GHGs than the average UK household. This builds upon previous quantitative environmental evaluations of shared living. In studying practices, infrastructures and social networks within shared living, this research identifies four types of sharing that are significant to pro-environmental outcomes: shared ideals, shared governance, shared materials and spaces, and shared endeavour. For each type of sharing, the findings describe and analyse how processes of negotiation enable and constrain pro-environmental practices and outcomes. By exploring these processes, this research generates new knowledge on how and why shared living can produce lower-than-average domestic environmental impacts. Thus, the research demonstrates the potential and the mechanisms by which shared living may offer environmentally sustainable housing solutions for the UK

Alien Registration- Clark, Isabel M. (Baldwin, Cumberland County)

https://digitalmaine.com/alien_docs/32936/thumbnail.jp

Joint Registration and Fusion of an Infra-Red Camera and Scanning Radar in a Maritime Context

The number of nodes in sensor networks is continually increasing, and maintaining accurate track estimates inside their common surveillance region is a critical necessity. Modern sensor platforms are likely to carry a range of different sensor modalities, all providing data at differing rates, and with varying degrees of uncertainty. These factors complicate the fusion problem as multiple observation models are required, along with a dynamic prediction model. However, the problem is exacerbated when sensors are not registered correctly with respect to each other, i.e. if they are subject to a static or dynamic bias. In this case, measurements from different sensors may correspond to the same target, but do not correlate with each other when in the same Frame of Reference (FoR), which decreases track accuracy. This paper presents a method to jointly estimate the state of multiple targets in a surveillance region, and to correctly register a radar and an Infrared Search and Track (IRST) system onto the same FoR to perform sensor fusion. Previous work using this type of parent-offspring process has been successful when calibrating a pair of cameras, but has never been attempted on a heterogeneous sensor network, nor in a maritime environment. This article presents results on both simulated scenarios and a segment of real data that show a significant increase in track quality in comparison to using incorrectly calibrated sensors or single-radar only

Genetic Diversity of norA, Coding for a Main Efflux Pump of Staphylococcus aureus

Funding Information: This work was partially supported by Fundação para a Ciência e a Tecnologia (FCT, Portugal), through funds to GHTM – UID/Multi/04413/2013. SC was supported by grant SFRH/BPD/97508/2013 from FCT, Portugal. TC was funded by the Medical Research Council United Kingdom (Grant Nos. MR/K000551/1, MR/M01360X/1, MR/N010469/1, and MR/R020973/1) and BBSRC United Kingdom (BB/R013063/1). BS was funded by the Medical Research Council United Kingdom (Grant No. MR/N010469/1). Publisher Copyright: © 2007 - 2019 Frontiers Media S.A. All Rights Reserved.NorA is the best studied efflux system of Staphylococcus aureus and therefore frequently used as a model for investigating efflux-mediated resistance in this pathogen. NorA activity is associated with resistance to fluoroquinolones, several antiseptics and disinfectants and several reports have pointed out the role of efflux systems, including NorA, as a first-line response to antimicrobials in S. aureus. Genetic diversity studies of the gene norA have described three alleles; norAI, norAII and norAIII. However, the epidemiology of these alleles and their impact on NorA activity remains unclear. Additionally, increasing studies do not account for norA variability when establishing relations between resistance phenotypes and norA presence or reported absence, which actually corresponds, as we now demonstrate, to different norA alleles. In the present study we assessed the variability of the norA gene present in the genome of over 1,000 S. aureus isolates, corresponding to 112 S. aureus strains with whole genome sequences publicly available; 917 MRSA strains sourced from a London-based study and nine MRSA isolates collected in a major Hospital in Lisbon, Portugal. Our analyses show that norA is part of the core genome of S. aureus. It also suggests that occurrence of norA variants reflects the population structure of this major pathogen. Overall, this work highlights the ubiquitous nature of norA in S. aureus which must be taken into account when studying the role played by this important determinant on S. aureus resistance to antimicrobials.publishersversionpublishe

Gypsy endogenous retrovirus maintains potential infectivity in several species of Drosophilids

<p>Abstract</p> <p>Background</p> <p>Sequences homologous to the <it>gypsy </it>retroelement from <it>Drosophila melanogaster </it>are widely distributed among drosophilids. The structure of <it>gypsy </it>includes an open reading frame resembling the retroviral gene <it>env</it>, which is responsible for the infectious properties of retroviruses.</p> <p>Results</p> <p>In this study we report molecular and phylogeny analysis of the complete <it>env </it>gene from ten species of the <it>obscura </it>group of the genus <it>Drosophila </it>and one species from the genus <it>Scaptomyza</it>.</p> <p>Conclusion</p> <p>The results indicate that in most cases <it>env </it>sequences could produce a functional Env protein and therefore maintain the infectious capability of <it>gypsy </it>in these species.</p

Using genomics to understand the origin and dispersion of multidrug and extensively drug resistant tuberculosis in Portugal.

Portugal is a low incidence country for tuberculosis (TB) disease. Now figuring among TB low incidence countries, it has since the 1990s reported multidrug resistant and extensively drug resistant (XDR) TB cases, driven predominantly by two strain-types: Lisboa3 and Q1. This study describes the largest characterization of the evolutionary trajectory of M/XDR-TB strains in Portugal, spanning a time-period of two decades. By combining whole-genome sequencing and phenotypic susceptibility data for 207 isolates, we report the geospatial patterns of drug resistant TB, particularly the dispersion of Lisboa3 and Q1 clades, which underly 64.2% and 94.0% of all MDR-TB and XDR-TB isolates, respectively. Genomic-based similarity and a phylogenetic analysis revealed multiple clusters (n = 16) reflecting ongoing and uncontrolled recent transmission of M/XDR-TB, predominantly associated with the Lisboa3 and Q1 clades. These clades are now thought to be evolving in a polycentric mode across multiple geographical districts. The inferred evolutionary history is compatible with MDR- and XDR-TB originating in Portugal in the 70's and 80's, respectively, but with subsequent multiple emergence events of MDR and XDR-TB particularly involving the Lisboa3 clade. A SNP barcode was defined for Lisboa3 and Q1 and comparison with a phylogeny of global strain-types (n = 28 385) revealed the presence of Lisboa3 and Q1 strains in Europe, South America and Africa. In summary, Portugal displays an unusual and unique epidemiological setting shaped by >40 years of uncontrolled circulation of two main phylogenetic clades, leading to a sympatric evolutionary trajectory towards XDR-TB with the potential for global reach