893 resultados para tree placement
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A report done by Donald Ziraldo on the topic of Tree Fruit, specifically peach, in nurseries. The report was likely done while he was a student of the University of Guelph in the 1970s.
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A photograph of Percy Band wearing a suit as he stands in front of a large tree. A house can be seen just behind the tree.
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A woman wearing a hat and holding a small purse. She is standing next to a large tree trunk and there are benches behind her.
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UANL
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Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal
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Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal.
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Thèse réalisée en cotutelle entre l'Université de Montréal et l'Université de Technologie de Troyes
Arrestation et placement en détention avant jugement : points de vue et expériences des justiciables
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Ce mémoire a comme objectif d’analyser le vécu des justiciables placés en détention avant jugement. Plus précisément, cette étude se veut préciser ce vécu sur les volets judiciaire et carcéral impliqués dans une mise en détention provisoire. Nous voulons de plus dégager les sentiments issus d’un tel placement. Enfin, nous souhaitions réfléchir sur le recours à la détention avant jugement à travers la perspective d’un modèle de justice basé sur la gestion des risques et sur une logique d’efficience, d’efficacité et de responsabilisation. Pour ce faire, nous avons utilisé l’approche qualitative pour mener vingt-trois entrevues auprès d’hommes et de femmes incarcérés en attente de leur jugement dans quatre établissements de détention du Québec. De ces entretiens, deux thèmes centraux sont ressortis, soit le Vécus carcéral et judiciaire du prévenu, marqué par l’incertitude, l’incompréhension, l’impuissance, la dépendance, les conditions difficiles de détention, les pertes ainsi que l’attente et les Sentiments issus d’une mise en détention provisoire, marqué par la souffrance, l’injustice et l’urgence de sortir de cette situation provisoire. Il ressort de nos analyses que la façon dont est administré le système de justice, l’opinion du public ainsi que les politiques en vigueur ont un impact sur la façon de gérer le recours à la détention provisoire en favorisant tout le contraire de sa mission initiale. Ainsi, la mesure s’en trouve conduite au détriment de l’acteur principal : le prévenu.
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Les jeunes avec antécédents de placement sont surreprésentés parmi les jeunes adultes qui ont vécu un passage à la rue. Ce qui pourrait être interprété par certains comme un naufrage est vécu par d’autres comme une opportunité : l’expérience de la rue que font les jeunes est façonnée par leurs expériences antérieures. L’objectif de cette recherche était de combler un trou dans les connaissances concernant l’articulation entre l’expérience de placement et l’expérience de rue chez les jeunes. À partir de la méthodologie des récits de vie, j’ai rencontré six jeunes adultes en situation de rue qui, durant l’enfance ou l’adolescence, avaient fait l’objet d’un retrait du milieu familial en vertu de la Loi sur la protection de la jeunesse au Québec. Leur trajectoire a été étudiée sous l’angle de la « vulnérabilisation », un processus double d’appauvrissement matériel et de refoulement vers une position sociale dévalorisée. Les jeunes de mon étude ont vécu trois formes de vulnérabilisation dans le contexte du placement : la déliaison familiale, la disqualification professionnelle et sociale, et la stigmatisation. Les jeunes ont répondu à ces dynamiques en acceptant et en intériorisant la vulnérabilité, en la niant ou en la refusant, ou encore en la rationalisant et en la négociant. Cette étude permet de mieux comprendre l’articulation entre l’expérience du placement et celle de la rue chez les jeunes. Les résultats sont utiles pour informer d’autres études, ainsi que pour éclairer les pratiques auprès de cette population spécifique.
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The hazards associated with major accident hazard (MAH) industries are fire, explosion and toxic gas releases. Of these, toxic gas release is the worst as it has the potential to cause extensive fatalities. Qualitative and quantitative hazard analyses are essential for the identitication and quantification of the hazards associated with chemical industries. This research work presents the results of a consequence analysis carried out to assess the damage potential of the hazardous material storages in an industrial area of central Kerala, India. A survey carried out in the major accident hazard (MAH) units in the industrial belt revealed that the major hazardous chemicals stored by the various industrial units are ammonia, chlorine, benzene, naphtha, cyclohexane, cyclohexanone and LPG. The damage potential of the above chemicals is assessed using consequence modelling. Modelling of pool fires for naphtha, cyclohexane, cyclohexanone, benzene and ammonia are carried out using TNO model. Vapor cloud explosion (VCE) modelling of LPG, cyclohexane and benzene are carried out using TNT equivalent model. Boiling liquid expanding vapor explosion (BLEVE) modelling of LPG is also carried out. Dispersion modelling of toxic chemicals like chlorine, ammonia and benzene is carried out using the ALOHA air quality model. Threat zones for different hazardous storages are estimated based on the consequence modelling. The distance covered by the threat zone was found to be maximum for chlorine release from a chlor-alkali industry located in the area. The results of consequence modelling are useful for the estimation of individual risk and societal risk in the above industrial area.Vulnerability assessment is carried out using probit functions for toxic, thermal and pressure loads. Individual and societal risks are also estimated at different locations. Mapping of threat zones due to different incident outcome cases from different MAH industries is done with the help of Are GIS.Fault Tree Analysis (FTA) is an established technique for hazard evaluation. This technique has the advantage of being both qualitative and quantitative, if the probabilities and frequencies of the basic events are known. However it is often difficult to estimate precisely the failure probability of the components due to insufficient data or vague characteristics of the basic event. It has been reported that availability of the failure probability data pertaining to local conditions is surprisingly limited in India. This thesis outlines the generation of failure probability values of the basic events that lead to the release of chlorine from the storage and filling facility of a major chlor-alkali industry located in the area using expert elicitation and proven fuzzy logic. Sensitivity analysis has been done to evaluate the percentage contribution of each basic event that could lead to chlorine release. Two dimensional fuzzy fault tree analysis (TDFFTA) has been proposed for balancing the hesitation factor invo1ved in expert elicitation .
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In forestry, availability of healthy seeds is an important factor in raising planting stock. Initial seed health and storage conditions are the major factors governing the germinability of seeds. Like seeds of agricultural and horticultural crops, forest tree seeds are also liable to be affected by micro-organisms during storage, which affects the germination, and reduces the viability. Further introduction of seed-borne diseases into newly sown crops/areas on account of using unhealthy seeds is also not ruled out. Availability of healthy stock of seedlings is intrinsic for raising plantations and to meet this requirement elimination of nursery diseases by appropriate chemicals is of prime imortance. As exotic tree species may become susceptible to various native pathogens, it is generally considered better to select indigenous tree species for large scale plantations as they are well adapted to local environment. However, before taking up large scale afforestation progranme involving any indigenous tree species, it is essential to have knowledge about seed disorders and seedling diseases and their management. with a View to select appropriate tree species with fewer seed disorders and seedling disease problems for use in further plantation programme, four indigenous tree species such as Albizia odoratissima (L.f) Benth., Lagerstroemia microcazpa Wt., Pterocazpus marsupiwn Roxb. and Xylia xylocarpa (Roxb.) Taub. were evaluated to meet the above parameters
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Decision trees are very powerful tools for classification in data mining tasks that involves different types of attributes. When coming to handling numeric data sets, usually they are converted first to categorical types and then classified using information gain concepts. Information gain is a very popular and useful concept which tells you, whether any benefit occurs after splitting with a given attribute as far as information content is concerned. But this process is computationally intensive for large data sets. Also popular decision tree algorithms like ID3 cannot handle numeric data sets. This paper proposes statistical variance as an alternative to information gain as well as statistical mean to split attributes in completely numerical data sets. The new algorithm has been proved to be competent with respect to its information gain counterpart C4.5 and competent with many existing decision tree algorithms against the standard UCI benchmarking datasets using the ANOVA test in statistics. The specific advantages of this proposed new algorithm are that it avoids the computational overhead of information gain computation for large data sets with many attributes, as well as it avoids the conversion to categorical data from huge numeric data sets which also is a time consuming task. So as a summary, huge numeric datasets can be directly submitted to this algorithm without any attribute mappings or information gain computations. It also blends the two closely related fields statistics and data mining
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This paper highlights the prediction of Learning Disabilities (LD) in school-age children using two classification methods, Support Vector Machine (SVM) and Decision Tree (DT), with an emphasis on applications of data mining. About 10% of children enrolled in school have a learning disability. Learning disability prediction in school age children is a very complicated task because it tends to be identified in elementary school where there is no one sign to be identified. By using any of the two classification methods, SVM and DT, we can easily and accurately predict LD in any child. Also, we can determine the merits and demerits of these two classifiers and the best one can be selected for the use in the relevant field. In this study, Sequential Minimal Optimization (SMO) algorithm is used in performing SVM and J48 algorithm is used in constructing decision trees.
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Phosphorus (P) deficiency is a major constraint to pearl millet (Pennisetum glaucum L.) growth on acid sandy soils of the West African Sahel. To develop cost-effective fertilization strategies for cash poor farmers, experiments with pearl millet were conducted in southwestern Niger. Treatments comprised single superphosphate hill-placed at rates of 1, 3, 5 or 7 kg P ha^−1 factorially combined with broadcast P at a rate of 13 kg ha^−1. Nitrogen was applied as calcium ammonium nitrate at rates of 30 and 45 kg ha^−1. At low soil moisture, placement of single superphosphate in immediate proximity to the seed reduced seedling emergence. Despite these negative effects on germination, P placement resulted in much faster growth of millet seedlings than did broadcast P. With P application, potassium nutrition of millet was improved and seedling nitrogen uptake increased two- to three-fold, indicating that nitrogen was not limiting early millet growth. Averaged over the 1995 and 1996 cropping seasons, placed applications of 3, 5 and 7 kg P ha^−1 led to 72%, 81% and 88% respectively, of the grain yield produced by broadcasting 13 kg P ha^−1. Nitrogen application did not show major effects on grain yield unless P requirements were met. A simple economic analysis revealed that the profitability of P application, defined as additional income per unit of fertilizer, was highest for P placement at 3 and 5 kg ha^−1.
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Moringa oleifera is becoming increasingly popular as an industrial crop due to its multitude of useful attributes as water purifier, nutritional supplement and biofuel feedstock. Given its tolerance to sub-optimal growing conditions, most of the current and anticipated cultivation areas are in medium to low rainfall areas. This study aimed to assess the effect of various irrigation levels on floral initiation, flowering and fruit set. Three treatments namely, a 900 mm (900IT), 600 mm (600IT) and 300 mm (300IT) per annum irrigation treatment were administered through drip irrigation, simulating three total annual rainfall amounts. Individual inflorescences from each treatment were tagged during floral initiation and monitored throughout until fruit set. Flower bud initiation was highest at the 300IT and lowest at the 900IT for two consecutive growing seasons. Fruit set on the other hand, decreased with the decrease in irrigation treatment. Floral abortion, reduced pollen viability as well as moisture stress in the style were contributing factors to the reduction in fruiting/yield observed at the 300IT. Moderate water stress prior to floral initiation could stimulate flower initiation, however, this should be followed by sufficient irrigation to ensure good pollination, fruit set and yield.