Non-professional interpreting carried out by vets and veterinary staff for British pets' owners in the South of Spain

La presentación está dedicada a la interpretación realizada a diario por el personal veterinario y veterinarios para clientes británicos en la Costa del Sol.

Soft-biometrics : unconstrained authentication in a surveillance environment

Soft biometrics are characteristics that can be used to describe, but not uniquely identify an individual. These include traits such as height, weight, gender, hair, skin and clothing colour. Unlike traditional biometrics (i.e. face, voice) which require cooperation from the subject, soft biometrics can be acquired by surveillance cameras at range without any user cooperation. Whilst these traits cannot provide robust authentication, they can be used to provide coarse authentication or identification at long range, locate a subject who has been previously seen or who matches a description, as well as aid in object tracking. In this paper we propose three part (head, torso, legs) height and colour soft biometric models, and demonstrate their verification performance on a subset of the PETS 2006 database. We show that these models, whilst not as accurate as traditional biometrics, can still achieve acceptable rates of accuracy in situations where traditional biometrics cannot be applied.

Designing locative and social media technologies for community collaboration and social benefit : PetSearch

The convergence of locative and social media with collaborative interfaces and data visualisation has expanded the potential of online information provision. Offering new ways for communities to share contextually specific information, it presents the opportunity to expand social media’s current focus on micro self-publishing with applications that support communities to actively address areas of local need. This paper details the design and development of a prototype application that illustrates this potential. Entitled PetSearch, it was designed in collaboration with the Animal Welfare League of Queensland to support communities to map and locate lost, found and injured pets, and to build community engagement in animal welfare issues. We argue that, while established approaches to social and locative media provide a useful foundation for designing applications to harness social capital, they must be re-envisaged if they are to effectively facilitate community collaboration. We conclude by arguing that the principles of user engagement and co-operation employed in this project can be extrapolated to other online approaches that aim to facilitate co-operative problem solving for social benefit.

Scene invariant multi camera crowd counting

Automated crowd counting has become an active field of computer vision research in recent years. Existing approaches are scene-specific, as they are designed to operate in the single camera viewpoint that was used to train the system. Real world camera networks often span multiple viewpoints within a facility, including many regions of overlap. This paper proposes a novel scene invariant crowd counting algorithm that is designed to operate across multiple cameras. The approach uses camera calibration to normalise features between viewpoints and to compensate for regions of overlap. This compensation is performed by constructing an 'overlap map' which provides a measure of how much an object at one location is visible within other viewpoints. An investigation into the suitability of various feature types and regression models for scene invariant crowd counting is also conducted. The features investigated include object size, shape, edges and keypoints. The regression models evaluated include neural networks, K-nearest neighbours, linear and Gaussian process regresion. Our experiments demonstrate that accurate crowd counting was achieved across seven benchmark datasets, with optimal performance observed when all features were used and when Gaussian process regression was used. The combination of scene invariance and multi camera crowd counting is evaluated by training the system on footage obtained from the QUT camera network and testing it on three cameras from the PETS 2009 database. Highly accurate crowd counting was observed with a mean relative error of less than 10%. Our approach enables a pre-trained system to be deployed on a new environment without any additional training, bringing the field one step closer toward a 'plug and play' system.

Animal stories : flash flood 2011

Flash flood disasters happen suddenly. The Toowoomba Lockyer Valley flash flood in January 2011 was not forecast by the Bureau of Meteorology until after it had occurred. Domestic and wild animals gave the first warning of the disaster in the days leading up to the event and large animals gave warnings on the morning of the disaster. Twenty-three people, including 5 children in the disaster zone died. More than 500 people were listed as missing. Some of those who died, perished because they stayed in the disaster zone to look after their animals while other members of their family escaped to safety. Some people who were in danger refused to be rescued because they could not take their pets with them. During a year spent recording accounts of the survivors of the disaster, animals were often mentioned by survivors. Despite the obvious perils, people risked their lives to save their animals; people saw animals try to save each other; animals rescued people; people rescued animals; animals survived where people died; animals were used to find human victims in the weeks after the disaster; and animals died. The stories of the flood present challenges for pet owners, farmers, counter disaster planners, weather forecasters and emergency responders in preparing for disasters, responding to them and recovering after them.

An evaluation of crowd counting methods, features and regression models

Existing crowd counting algorithms rely on holistic, local or histogram based features to capture crowd properties. Regression is then employed to estimate the crowd size. Insufficient testing across multiple datasets has made it difficult to compare and contrast different methodologies. This paper presents an evaluation across multiple datasets to compare holistic, local and histogram based methods, and to compare various image features and regression models. A K-fold cross validation protocol is followed to evaluate the performance across five public datasets: UCSD, PETS 2009, Fudan, Mall and Grand Central datasets. Image features are categorised into five types: size, shape, edges, keypoints and textures. The regression models evaluated are: Gaussian process regression (GPR), linear regression, K nearest neighbours (KNN) and neural networks (NN). The results demonstrate that local features outperform equivalent holistic and histogram based features; optimal performance is observed using all image features except for textures; and that GPR outperforms linear, KNN and NN regression

The pet factor - Companion animals as a conduit for getting to know people, friendship formation and social support

BACKGROUND: While companion animals have been previously identified as a direct source of companionship and support to their owners, their role as a catalyst for friendship formation or social support networks among humans has received little attention. This study investigated the indirect role of pets as facilitators for three dimensions of social relatedness; getting to know people, friendship formation and social support networks. METHODS: A telephone survey of randomly selected residents in four cities, one in Australia (Perth; n = 704) and three in the U.S. (San Diego, n = 690; Portland, n = 634; Nashville, n = 664) was conducted. All participants were asked about getting to know people within their neighborhood. Pet owners were asked additional questions about the type/s of pet/s they owned, whether they had formed friendships as a result of their pet, and if they had received any of four different types of social support from the people they met through their pet. RESULTS: Pet owners were significantly more likely to get to know people in their neighborhood than non-pet owners (OR 1.61; 95%CI: 1.30, 1.99). When analyzed by site, this relationship was significant for Perth, San Diego and Nashville. Among pet owners, dog owners in the three U.S. cities (but not Perth) were significantly more likely than owners of other types of pets to regard people whom they met through their pet as a friend (OR 2.59; 95%CI: 1.94, 3.46). Around 40% of pet owners reported receiving one or more types of social support (i.e. emotional, informational, appraisal, instrumental) via people they met through their pet. CONCLUSION: This research suggests companion animals can be a catalyst for several dimensions of human social relationships in neighborhood settings, ranging from incidental social interaction and getting to know people, through to formation of new friendships. For many pet owners, their pets also facilitated relationships from which they derived tangible forms of social support, both of a practical and emotionally supportive nature. Given growing evidence for social isolation as a risk factor for mental health, and, conversely, friendships and social support as protective factors for individual and community well-being, pets may be an important factor in developing healthy neighborhoods.

Semantic Fluency in Mild and Moderate Alzheimer's Disease

Alzheimer's disease (AD) is characterized by an impairment of the semantic memory responsible for processing meaning-related knowledge. This study was aimed at examining how Finnish-speaking healthy elderly subjects (n = 30) and mildly (n=20) and moderately (n = 20) demented AD patients utilize semantic knowledge to performa semantic fluency task, a method of studying semantic memory. In this task subjects are typically given 60 seconds to generate words belonging to the semantic category of animals. Successful task performance requires fast retrieval of subcategory exemplars in clusters (e.g., farm animals: 'cow', 'horse', 'sheep') and switching between subcategories (e.g., pets, water animals, birds, rodents). In this study, thescope of the task was extended to cover various noun and verb categories. The results indicated that, compared with normal controls, both mildly and moderately demented AD patients showed reduced word production, limited clustering and switching, narrowed semantic space, and an increase in errors, particularly perseverations. However, the size of the clusters, the proportion of clustered words, and the frequency and prototypicality of words remained relatively similar across the subject groups. Although the moderately demented patients showed a poor eroverall performance than the mildly demented patients in the individual categories, the error analysis appeared unaffected by the severity of AD. The results indicate a semantically rather coherent performance but less specific, effective, and flexible functioning of the semantic memory in mild and moderate AD patients. The findings are discussed in relation to recent theories of word production and semantic representation. Keywords: semantic fluency, clustering, switching, semantic category, nouns, verbs, Alzheimer's disease

Impact of the Human Bacterial Environment on Mycobacteriosis and Allergy

My work describes two sectors of the human bacterial environment: 1. The sources of exposure to infectious non-tuberculous mycobacteria. 2. Bacteria in dust, reflecting the airborne bacterial exposure in environments protecting from or predisposing to allergic disorders. Non-tuberculous mycobacteria (NTM) transmit to humans and animals from the environment. Infection by NTM in Finland has increased during the past decade beyond that by Mycobacterium tuberculosis. Among the farm animals, porcine mycobacteriosis is the predominant NTM disease in Finland. Symptoms of mycobacteriosis are found in 0.34 % of slaughtered pigs. Soil and drinking water are suspected as sources for humans and bedding materials for pigs. To achieve quantitative data on the sources of human and porcine NTM exposure, methods for quantitation of environmental NTM are needed. We developed a quantitative real-time PCR method, utilizing primers targeted at the 16S rRNA gene of the genus of Mycobacterium. With this method, I found in Finnish sphagnum peat, sandy soils and mud high contents of mycobacterial DNA, 106 to 107 genome equivalents per gram. A similar result was obtained by a method based on the Mycobacterium-specific hybridization of 16S rRNA. Since rRNA is found mainly in live cells, this result shows that the DNA detected by qPCR mainly represented live mycobacteria. Next, I investigated the occurrence of environmental mycobacteria in the bedding materials obtained from 5 pig farms with high prevalence (>4 %) of mycobacteriosis. When I used for quantification the same qPCR methods as for the soils, I found that piggery samples contained non-mycobacterial DNA that was amplified in spite of several mismatches with the primers. I therefore improved the qPCR assay by designing Mycobacterium-specific detection probes. Using the probe qPCR assay, I found 105 to 107 genome equivalents of mycobacterial DNA in unused bedding materials and up to 1000 fold more in the bedding collected after use in the piggery. This result shows that there was a source of mycobacteria in the bedding materials purchased by the piggery and that mycobacteria increased in the bedding materials during use in the piggery. Allergic diseases have reached epidemic proportions in urbanized countries. At the same time, childhood in rural environment or simple living conditions appears to protect against allergic disorders. Exposure to immunoreactive microbial components in rural environments seems to prevent allergies. I searched for differences in the bacterial communities of two indoor dusts, an urban house dust shown to possess immunoreactivity of the TH2-type and a farm barn dust with TH1-activity. The immunoreactivities of the dusts were revealed by my collaborators, in vitro in human dendritic cells and in vivo in mouse. The dusts accumulated >10 years in the respiratory zone (>1.5 m above floor), thus reflecting the long-term content of airborne bacteria at the two sites. I investigated these dusts by cloning and sequencing of bacterial 16S rRNA genes from dust contained DNA. From the TH2-active urban house dust, I isolated 139 16S rRNA gene clones. The most prevalent genera among the clones were Corynebacterium (5 species, 34 clones), Streptococcus (8 species, 33 clones), Staphylococcus (5 species, 9 clones) and Finegoldia (1 species, 9 clones). Almost all of these species are known as colonizers of the human skin and oral cavity. Species of Corynebacterium and Streptococcus have been reported to contain anti-inflammatory lipoarabinomannans and immunmoreactive beta-glucans respectively. Streptococcus mitis, found in the urban house dust is known as an inducer of TH2 polarized immunity, characteristic of allergic disorders. I isolated 152 DNA clones from the TH1-active farm barn dust and found species quite different from those found from the urban house dust. Among others, I found DNA clones representing Bacillus licheniformis, Acinetobacter lwoffii and Lactobacillus each of which was recently reported to possess anti-allergy immunoreactivity. Moreover, the farm barn dust contained dramatically higher bacterial diversity than the urban house dust. Exposure to this dust thus stimulated the human dendritic cells by multiple microbial components. Such stimulation was reported to promote TH1 immunity. The biodiversity in dust may thus be connected to its immunoreactivity. Furthermore, the bacterial biomass in the farm barn dust consisted of live intact bacteria mainly. In the urban house dust only ~1 % of the biomass appeared as intact bacteria, as judged by microscoping. Fragmented microbes may possess bioactivity different from that of intact cells. This was recently shown for moulds. If this is also valid for bacteria, the different immunoreactivities of the two dusts may be explained by the intactness of dustborne bacteria. Based on these results, we offer three factors potentially contributing to the polarized immunoreactivities of the two dusts: (i) the species-composition, (ii) the biodiversity and (iii) the intactness of the dustborne bacterial biomass. The risk of childhood atopic diseases is 4-fold lower in the Russian compared with the Finnish Karelia. This difference across the country border is not explainable by different geo-climatic factors or genetic susceptibilities of the two populations. Instead, the explanation must be lifestyle-related. It has already been reported that the microbiological quality of drinking water differs on the two sides of the borders. In collaboration with allergists, I investigated dusts collected from homes in the Russian Karelia and in the Finnish Karelia. I found that bacterial 16S rRNA genes cloned from the Russian Karelian dusts (10 homes, 234 clones) predominantly represented Gram-positive taxa (the phyla Actinobacteria and Firmicutes, 67%). The Russian Karelian dusts contained nine-fold more of muramic acid (60 to 70 ng mg-1) than the Finnish Karelian dusts (3 to 11 ng mg-1). Among the DNA clones isolated from the Finnish side (n=231), Gram-negative taxa (40%) outnumbered the Gram-positives (34%). Out of the 465 DNA clones isolated from the Karelian dusts, 242 were assigned to cultured validly described bacterial species. In Russian Karelia, animal-associated species e.g. Staphylococcus and Macrococcus were numerous (27 clones, 14 unique species). This finding may connect to the difference in the prevalence of allergy, as childhood contacts with pets and farm animals have been connected with low allergy risk. Plant-associated bacteria and plant-borne 16S rRNA genes (chloroplast) were frequent among the DNA clones isolated from the Finnish Karelia, indicating components originating from plants. In conclusion, my work revealed three major differences between the bacterial communtites in the Russian and in the Finnish Karelian homes: (i) the high prevalence of Gram-positive bacteria on the Russian side and of Gram-negative bacteria on the Finnish side and (ii) the rich presence of animal-associated bacteria on the Russian side whereas (iii) plant-associated bacteria prevailed on the Finnish side. One or several of these factors may connect to the differences in the prevalence of allergy.

Gap acceptance behavior of mobile phone distracted drivers at roundabouts

While mobile phones have become ubiquitous in modern society, the use of mobile phones while driving is increasing at an alarming rate despite the associated crash risks. A significant safety concern is that driving while distracted by a mobile phone is more prevalent among young drivers, a less experienced driving cohort with elevated crash risk. The objective of this study was to examine the gap acceptance behavior of distracted young drivers at roundabouts. The CARRS-Q Advanced Driving Simulator was used to test participants on a simulated gap acceptance scenario at roundabouts. Conflicting traffic from the right approach of a four-legged roundabout were programmed to have a series of vehicles having the gaps between them proportionately increased from two to six seconds. Thirty-two licensed young drivers drove the simulator under three phone conditions: baseline (no phone conversation), hands-free and handheld phone conversations. Results show that distracted drivers started responding to the gap acceptance scenario at a distance closer to the roundabout and approached the roundabout at slower speeds. They also decelerated at faster rates to reduce their speeds prior to gap acceptance compared to non-distracted drivers. Although accepted gap sizes were not significantly different across phone conditions, differences in the safety margins at various gap sizes—measured by Post Encroachment Time (PET) between the driven vehicle and the conflicting vehicle—were statistically significant across phone conditions. PETs for distracted drivers were smaller across different gap sizes, suggesting a lower safety margin taken by distracted drivers compared to non-distracted drivers. The results aid in understanding how cognitive distraction resulting from mobile phone conversations while driving influences driving behavior during gap acceptance at roundabouts.

Thermal degradation processes in polysulfide copolymers investigated by direct pyrolysis mass spectrometry and flash pyrolysis-gas chromatography/mass spectrometry

This is the first report on the analysis of random block polysulfide copolymers containing different amounts of repeating units in the copolymer backbone, which has been studied by direct pyrolysis mass spectrometry (DPMS) and by pyrolysis-gas chromatography/mass spectrometry (Py-GC/MS). The homopolymers such as poly(ethylene sulfide) (PES), poly(styrene sulfide) (PSS), and two random copolymers, viz., poly(ethylene sulfide(x)-co-styrene sulfide(y)) [copolymer I (x = y = 0.5) and copolymer II (x = 0.74, y = 0.26)] were investigated by both DPMS and Py-GC/MS (except copolymer II) techniques. In the case of copolymer I, the thermal degradation products of SE1, SE2, S-2, and S2E (S = styrene sulfide, E = ethylene sulfide) were detected in DPMS, whereas the formation of SE1 and SE2 were observed by Py-GC/MS technique. However, for copolymer II, SE3 was also found along with SE1, SE2, S-2, and S2E in DPMS. The formation of additional product (SE3) observed in copolymer II could be due to an increase in the block length formed during copolymerization. Further, a comparative study on thermal degradation of PES, poly(ethylene disulfide) (PEDS), and poly(ethylene tetrasulfide) (PETS) were investigated by Py-GC/MS. The pyrolysis products detected by both DPMS and Py-GC/MS indicates that the thermal decomposition of these polymers yield cyclic sulfides through an intramolecular exchange or by backbiting processes. The linear products with thiol and vinyl groups were also observed by Py-GC/MS along with the cyclic products via carbon hydrogen transfer reaction.

El sector económico de las mascotas en españa y su impacto en el PIB y la creacion de empleo

El principal objetivo de este Trabajo de Fin de Grado titulado “El sector económico de las mascotas en España y su impacto en el PIB y en la creación de empleo” es intentar dar a conocer a la sociedad el peso que tienen las mascotas en la economía en general y en la española en particular. Para comenzar el trabajo, analizamos los comienzos de la domesticación así como la historia y la importancia de los animales de compañía para el ser humano desde el punto de vista social y económico. Para visualizar el impacto económico de los animales de compañía nos centramos en los dos subsectores más relevantes desde la perspectiva del empleo y del impacto en el PIB: la alimentación y las prestaciones veterinarias. En lo que respecta a la alimentación, se analiza la producción en toneladas y euros así como la estructura de las empresas más relevantes y un análisis del líder en el sector. En cuanto al sector veterinario, se analiza su estructura en toda España en términos de empleo, número de empresas y resultados económicos. A lo largo del trabajo podemos observar que el sector de los animales de compañía se mantiene en continuo crecimiento debido al mayor número de animales domésticos que encontramos en los hogares. Para finalizar el desarrollo del Trabajo de Fin de Grado, elaboramos unas conclusiones en relación a los resultados más relevantes obtenidos en la realización de este estudio.

Desenvolvimento de um instrumento de avaliação da vulnerabilidade de pacientes imunodeprimidos a infecções zoonóticas a partir de animais de estimação.

Os animais de estimação podem ser fonte de infecções, principalmente para seres humanos imunocomprometidos, em especial, pacientes portadores do vírus HIV. Considerando que o contato com animais pode prover benefícios emocionais, profissionais da área da saúde, em particular médicos e médicos veterinários, devem estar conscientes do papel potencial destes animais na transmissão de doenças de forma a preconizar medidas profiláticas para que esta transmissão não ocorra. As circunstâncias que favorecem a transmissão de doenças a partir dos animais de estimação ainda não são totalmente conhecidas, principalmente na realidade brasileira. Faltam estudos com o objetivo de investigar o risco de doenças de origem zoonótica decorrentes do contato com estes animais, hoje também chamados de animais pet. Ademais, ressente-se da falta de um instrumento devidamente elaborado e validado com a finalidade de captar as informações necessárias para a realização de estudos deste tipo ou mesmo para servir como ferramenta de rastreio de situações de vulnerabilidade de pacientes imunodeprimidos com vistas ao aconselhamento sobre medidas de prevenção. Desta maneira, o objetivo deste estudo é elaborar um instrumento para averiguar a vulnerabilidade de pacientes imunodeprimidos a infecções zoonóticas a partir de animais de estimação. Inicialmente, foram mapeados os animais de estimação mais encontrados no ambiente doméstico e as principais infecções que podem ser transmitidas a partir deles. Selecionaram-se, então, os possíveis mecanismos de transmissão a serem abordados. Dentre as espécies de animais de estimação elencadas, os cães, gatos, aves, répteis e os pequenos roedores foram os selecionados para a confecção deste instrumento. As infecções selecionadas foram: Salmonelose; Criptosporidíase; Giardíase; Dermatofitoses, Esporotricose, Bartonelose; Ancilostomíase; Toxocaríase; Psitacose; Toxoplasmose; Escabiose; Campilobacteriose; Criptococose e Histoplasmose. Considerando as diferentes formas de transmissão de cada infecção foram identificados os possíveis atos e comportamentos no contato com animais de estimação, bem como características destes animais, que poderiam aumentar a probabilidade de transmissão. O instrumento desenvolvido foi composto de uma primeira parte abarcando os critérios de elegibilidade, e de outra envolvendo o escopo principal do instrumento. Como as características de contato e as infecções variam de acordo com a espécie de animal, o instrumento abordou cada um dos cinco grupos de animais separadamente. O instrumento aqui proposto concerne à etapa inicial de um processo de desenvolvimento formal para utilização em futuras pesquisas sobre o papel dos animais de estimação na transmissão de infecções para pacientes imunodeprimidos. Estudos que explorem a confiabilidade e validade do instrumento proposto, assim como sua aceitabilidade, são necessários antes que seu uso seja recomendado.

中国东北样带孢粉-植被的定量关系及古生物群区的反演

基于中国东北样带（NECT）30个植被样方调查和表土孢粉资料，从个体、群落水平研究了孢粉－植被关系，结果表明，孢粉类型与植被关系密切，在 ＝ 0．05的显著性水平上，相关系数大于0．5;表土孢粉组合与植物群落间有较大的相似性，相似系数大于50％。采用定量描述花粉与植物关系的参数：联合指数（association）A、超代表性指数（over-representation）O、低代表性指数（under-representation）U、相关系数（correlation coefficient）C和代表性系数（representation coefficient）R等值，应用TWINSPAN分类、PCA排序和回归分析，把表土花粉类型划分为4类：具代表性类群组Group1，它们能正确反映植被;超代表性类群组Group2，它们常具有高花粉值与植被不成比例;低代表性类群组Group3，它们的花粉很难分离提取;以及低代表性类群的Group4，其花粉在土壤地层中较常见;指出一些常见花粉类型：松（Pinus）、桦（Betula）、栎（Quercus）、椴（Tilia）、槭（Acer）、榆（Ulmus）、蒿（Artemisia）、藜（Chenopodiaceae）、禾本科（Gramineae）和莎草科（Cyperaceae）的回归参数在东部森林区和西部草原区是有变化的，因此回归参数在应用于古植被恢复中要注意适用范围。 以Biomization模型为基础，根据植物的生理生态特性，定义了NECT孢粉类型的植物功能型（PETs）各种生物群区（Biome）的PFTs组合，构建了经表土孢粉检验的适用于NECT的以孢粉数据为驱动的模型框架，该模型模拟的生物群区与其化指标（气候、植物生理、土壤等）模拟划分的BIOME（Holdrige, BIOME3）是可比的，与植被类型有较好的对应性。 根据29剖面（986个样品）的孢粉数据，重建了NECT 6 kaB.P以来的生物群区。从时空二方面阐述了NECT6kaB.P以来生物群区的分布特点： （1）6ka B. P是一暖湿期，气温比现在高1～4℃，降水比现在多50％。落叶阔叶林分最广，面积最大。森林草原、落叶阔叶林、针阔混交林向西延伸最远。 （2）5ka B. P 是一降温期，气温比现在低2℃，降水多30％。有苔原、寒温带针叶林分布。 （3）4ka B. P是一暖湿期，气温比现在高1～2℃，降水比现在多50％。针阔光林和森林草原有最大分布面积。 （4）3Ka－2kaBP的气温与现代相似，降水比现在多20％左右。与4Ka B. P相比，森林和森林草原过渡带都向东移动。 （5）1Ka B. P的气温与现代相似，降水比现在多10％左右。草原向东大幅度扩张，森林分布面积减小。 （6）东部森林，中部森林草原，西部草原的分布格局的3Ka B. P基本确定，此后随着气候的不断变干冷，草原向东扩张。 （7）森林向扩张最大距离的时期发生在6Ka B. P，此时也是森林草原向西扩张最远时期。落叶阔叶林、针阔混交林、森林草原向西移动最大距离的时间是6Ka B. P，草原向西移动最远距离的时期发生在3Ka B. P。