Clues to the presence of pathogenic fungi in certain environments

The presence of various pathogenic fungi in rather unsuspected hosts and environments has always attracted the attention of the scientific community. Reports on the putative role of animals in fungal infections of humans bear important consequences on public health as well as on the understanding of fungal ecology. Fungi are ubiquitous in nature and their great capacity for adaptation allows them to survive and indeed, to thrive, in plants, trees and other natural substrata. Nonetheless, we are just beginning to learn the significance that these diverse fungal habitats have on the increasing number of immunosuppressed individuals. The accidental or permanent presence of fungi in animals, plants, soils and watercourses should not be taken too lightly because they constitute the source where potential pathogens will be contracted. If those fungal habitats that carry the largest risks of exposure could be defined, if seasonal variations in the production of infectious propagules could be determined, and if their mode of transmission were to be assessed, it would be possible to develop protective measures in order to avoid human infection. Additionally, unsuspected avenues for the exploration of fungal survival strategies would be opened, thus enhancing our capacity to react properly to their advancing limits. This paper explores several ecological connections between human pathogenic fungi and certain animals, trees, waterways and degraded organic materials. The occurrence of such connections in highly endemic areas will hopefully furnish more precise clues to fungal habitats and allow the design of control programs aimed at avoiding human infection.

Modelling habitat selection and distribution of the critically endangered Jerdon's courser Rhinoptilus bitorquatus in scrub jungle: an application of a new tracking method

1. Jerdon's courser Rhinoptilus bitorquatus is a nocturnally active cursorial bird that is only known to occur in a small area of scrub jungle in Andhra Pradesh, India, and is listed as critically endangered by the IUCN. Information on its habitat requirements is needed urgently to underpin conservation measures. We quantified the habitat features that correlated with the use of different areas of scrub jungle by Jerdon's coursers, and developed a model to map potentially suitable habitat over large areas from satellite imagery and facilitate the design of surveys of Jerdon's courser distribution. 2. We used 11 arrays of 5-m long tracking strips consisting of smoothed fine soil to detect the footprints of Jerdon's coursers, and measured tracking rates (tracking events per strip night). We counted the number of bushes and trees, and described other attributes of vegetation and substrate in a 10-m square plot centred on each strip. We obtained reflectance data from Landsat 7 satellite imagery for the pixel within which each strip lay. 3. We used logistic regression models to describe the relationship between tracking rate by Jerdon's coursers and characteristics of the habitat around the strips, using ground-based survey data and satellite imagery. 4. Jerdon's coursers were most likely to occur where the density of large (>2 m tall) bushes was in the range 300-700 ha(-1) and where the density of smaller bushes was less than 1000 ha(-1). This habitat was detectable using satellite imagery. 5. Synthesis and applications. The occurrence of Jerdon's courser is strongly correlated with the density of bushes and trees, and is in turn affected by grazing with domestic livestock, woodcutting and mechanical clearance of bushes to create pasture, orchards and farmland. It is likely that there is an optimal level of grazing and woodcutting that would maintain or create suitable conditions for the species. Knowledge of the species' distribution is incomplete and there is considerable pressure from human use of apparently suitable habitats. Hence, distribution mapping is a high conservation priority. A two-step procedure is proposed, involving the use of ground surveys of bush density to calibrate satellite image-based mapping of potential habitat. These maps could then be used to select priority areas for Jerdon's courser surveys. The use of tracking strips to study habitat selection and distribution has potential in studies of other scarce and secretive species.

Modelling habitat selection and distribution of the critically endangered Jerdon's courser Rhinoptilus bitorquatus in scrub jungle: an application of a new tracking method

1. Jerdon's courser Rhinoptilus bitorquatus is a nocturnally active cursorial bird that is only known to occur in a small area of scrub jungle in Andhra Pradesh, India, and is listed as critically endangered by the IUCN. Information on its habitat requirements is needed urgently to underpin conservation measures. We quantified the habitat features that correlated with the use of different areas of scrub jungle by Jerdon's coursers, and developed a model to map potentially suitable habitat over large areas from satellite imagery and facilitate the design of surveys of Jerdon's courser distribution. 2. We used 11 arrays of 5-m long tracking strips consisting of smoothed fine soil to detect the footprints of Jerdon's coursers, and measured tracking rates (tracking events per strip night). We counted the number of bushes and trees, and described other attributes of vegetation and substrate in a 10-m square plot centred on each strip. We obtained reflectance data from Landsat 7 satellite imagery for the pixel within which each strip lay. 3. We used logistic regression models to describe the relationship between tracking rate by Jerdon's coursers and characteristics of the habitat around the strips, using ground-based survey data and satellite imagery. 4. Jerdon's coursers were most likely to occur where the density of large (>2 m tall) bushes was in the range 300-700 ha(-1) and where the density of smaller bushes was less than 1000 ha(-1). This habitat was detectable using satellite imagery. 5. Synthesis and applications. The occurrence of Jerdon's courser is strongly correlated with the density of bushes and trees, and is in turn affected by grazing with domestic livestock, woodcutting and mechanical clearance of bushes to create pasture, orchards and farmland. It is likely that there is an optimal level of grazing and woodcutting that would maintain or create suitable conditions for the species. Knowledge of the species' distribution is incomplete and there is considerable pressure from human use of apparently suitable habitats. Hence, distribution mapping is a high conservation priority. A two-step procedure is proposed, involving the use of ground surveys of bush density to calibrate satellite image-based mapping of potential habitat. These maps could then be used to select priority areas for Jerdon's courser surveys. The use of tracking strips to study habitat selection and distribution has potential in studies of other scarce and secretive species.

Modernizing Mount Royal Park : Montréal’s Jungle in the 1950s

Durant les années 1950, les autorités municipales, sous la pression du département de la police, ont demandé le déboisement d’une section du parc du Mont-Royal. Cette section, communément appelée la « Jungle » et principalement composée de broussailles, de buissons et d’arbres, était fréquentée par une clientèle considérée comme indésirable. Cette dernière comprenait, essentiellement, des alcooliques, des voyous, des pervers, et, surtout, des homosexuels. Leur éradication s’est alors déployée selon un plan en trois étapes qui avait pour objectif de simplifier les techniques de surveillance utilisées par le département de la police. D’abord, une augmentation de l’éclairage, puis, le déboisement de la « Jungle », et, finalement, la construction d’une route, aujourd’hui connue sous le nom de Camillien-Houde. Le parc devenait ainsi plus accessible et plus sécuritaire. Les coupes, que l’on a appelées les « coupes de la moralité », ont eu un effet considérable sur l’environnement et la composition écologique du parc, donnant, entre autres, aux Montréalais, l’impression que le parc était devenu chauve (ce qui lui conféra d’ailleurs le surnom de Mont Chauve). Les transformations du parc du Mont-Royal n’étaient cependant pas limitées à sa Jungle. En fait, des modifications furent aussi mises en application dans d’autres sections considérées comme sous-développées. La métamorphose du parc et de sa « Jungle » était un acte de développement caractéristique de l’ère moderniste de la planification du Montréal d’après-guerre. La re-planification du parc du Mont-Royal témoigne ainsi d’une volonté sans bornes des autorités d’instaurer la moralité et la modernité dans la ville, volonté qui aura pour conséquence d’altérer la composition écologique du parc. C’est ce qui sera à l’origine d’une campagne nommée « Save-the-Mountain Movement », qui a cherché à empêcher la modernisation de l’espace et milité pour la réhabilitation du parc en tant que boisé paisible.

Modernizing Mount Royal Park : Montréal’s Jungle in the 1950s

Durant les années 1950, les autorités municipales, sous la pression du département de la police, ont demandé le déboisement d’une section du parc du Mont-Royal. Cette section, communément appelée la « Jungle » et principalement composée de broussailles, de buissons et d’arbres, était fréquentée par une clientèle considérée comme indésirable. Cette dernière comprenait, essentiellement, des alcooliques, des voyous, des pervers, et, surtout, des homosexuels. Leur éradication s’est alors déployée selon un plan en trois étapes qui avait pour objectif de simplifier les techniques de surveillance utilisées par le département de la police. D’abord, une augmentation de l’éclairage, puis, le déboisement de la « Jungle », et, finalement, la construction d’une route, aujourd’hui connue sous le nom de Camillien-Houde. Le parc devenait ainsi plus accessible et plus sécuritaire. Les coupes, que l’on a appelées les « coupes de la moralité », ont eu un effet considérable sur l’environnement et la composition écologique du parc, donnant, entre autres, aux Montréalais, l’impression que le parc était devenu chauve (ce qui lui conféra d’ailleurs le surnom de Mont Chauve). Les transformations du parc du Mont-Royal n’étaient cependant pas limitées à sa Jungle. En fait, des modifications furent aussi mises en application dans d’autres sections considérées comme sous-développées. La métamorphose du parc et de sa « Jungle » était un acte de développement caractéristique de l’ère moderniste de la planification du Montréal d’après-guerre. La re-planification du parc du Mont-Royal témoigne ainsi d’une volonté sans bornes des autorités d’instaurer la moralité et la modernité dans la ville, volonté qui aura pour conséquence d’altérer la composition écologique du parc. C’est ce qui sera à l’origine d’une campagne nommée « Save-the-Mountain Movement », qui a cherché à empêcher la modernisation de l’espace et milité pour la réhabilitation du parc en tant que boisé paisible.

Can't see the water for the trees

The work was both conceived and constructed in-situ within Gnombup Swamp a seasonal water body at Bremer Bay, Western Australia. The work interacts with site-specific conditions including wind patterns and a datum of seasonal water levels marks. The work is the result of collaboration between soil scientist Paula Deegan and Ian Weir. The installation was documented with a series of 30 still digital photographs, later animated in Microsoft Powerpoint.

Using decision trees in economizer repair decision making

The economiser is a critical component for efficient operation of coal-fired power stations. It consists of a large system of water-filled tubes which extract heat from the exhaust gases. When it fails, usually due to erosion causing a leak, the entire power station must be shut down to effect repairs. Not only are such repairs highly expensive, but the overall repair costs are significantly affected by fluctuations in electricity market prices, due to revenue lost during the outage. As a result, decisions about when to repair an economiser can alter the repair costs by millions of dollars. Therefore, economiser repair decisions are critical and must be optimised. However, making optimal repair decisions is difficult because economiser leaks are a type of interactive failure. If left unfixed, a leak in a tube can cause additional leaks in adjacent tubes which will need more time to repair. In addition, when choosing repair times, one also needs to consider a number of other uncertain inputs such as future electricity market prices and demands. Although many different decision models and methodologies have been developed, an effective decision-making method specifically for economiser repairs has yet to be defined. In this paper, we describe a Decision Tree based method to meet this need. An industrial case study is presented to demonstrate the application of our method.

Welcome to the jungle : HCI after dark

The transformation of urban spaces that occurs once darkness falls is simultaneously exhilarating and menacing, and over the past 20 months we have investigated the potential for mobile technology to help users manage their personal safety concerns in the city at night. Our findings subverted commonly held notions of vulnerability, with the threat of violence felt equally by men and women. But while women felt protected because of their mobile technology, men dismissed it as digital Man Mace. We addressed this macho design challenge by studying remote engineers in outback Australia to inspire our personal safety design prototype MATE (Mobile Artifact for Taming Environments).

Multi-step ahead direct prediction for the machine condition prognosis using regression trees and neuro-fuzzy systems

This paper presents an approach to predict the operating conditions of machine based on classification and regression trees (CART) and adaptive neuro-fuzzy inference system (ANFIS) in association with direct prediction strategy for multi-step ahead prediction of time series techniques. In this study, the number of available observations and the number of predicted steps are initially determined by using false nearest neighbor method and auto mutual information technique, respectively. These values are subsequently utilized as inputs for prediction models to forecast the future values of the machines’ operating conditions. The performance of the proposed approach is then evaluated by using real trending data of low methane compressor. A comparative study of the predicted results obtained from CART and ANFIS models is also carried out to appraise the prediction capability of these models. The results show that the ANFIS prediction model can track the change in machine conditions and has the potential for using as a tool to machine fault prognosis.