999 resultados para Evolving tree


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Placing a fossilized tree in front of Hashinger Hall, Chapman College, 346 N. Center Street, Orange, California. The late Dr. Edward H. Hashinger, former trustee and past chairman of the board is the man whose name has graced the walls of this building since 1969. The Hashinger Science Center (3 floors, 65,364 sq.ft.) houses all science departments including biology, natural and applied sciences, environmental and chemical sciences, food science and nutrition, kinesiology and physical therapy.

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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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This study examined anatomical and physiological connections between brain and body in relation to academic, physical, social, emotional, and behavioural benefits of physical activity in elementary schools. A handbook titled The Evolving Mind-Body Alliance: Physical Activities Incorporated Into the Ontario Science Curriculum—A Handbook for Educators, Schools, and School Boards was developed based on evidence that physical activity can benefit students academically, physically, and emotionally. Handbook activities were created for implementation into science lessons, with direct connections to the Ontario Science Curriculum (OSC), based on curriculum expectation goals and vision for science, including a majority of experiential learning and application knowledge, and because of students’ difficulty relating to science’s abstract concepts and terms. A review of literature about brain-body connection and benefits of movement in the classroom revealed that the defining features of the handbook should be (a) incorporation of physical activities that directly relate to the OSC, (b) require minimal resources to implement, and (c) provide a direct link to the OSC. Needs assessments were performed to gather the data from professionals in the field on the OSC and on the mandated daily physical activity. The handbook was reviewed by 3 teaching professionals in order to claim face validity of the document. The results of the project indicate that the handbook which was produced meets its goals of creating a product that is easy to use, practical, and effective for both educators and children in promoting the awareness of the brain-body connection and importance of learning through movement.

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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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Affiliation: Département de Biochimie, Université de Montréal

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Affiliation: Département de Biochimie, Université de Montréal

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La croissance dramatique du commerce électronique des titres cache un grand potentiel pour les investisseurs, de même que pour l’industrie des valeurs mobilières en général. Prenant en considération ses risques particuliers, les autorités réglementaires vivent un défi important face à l’Internet en tant que nouveau moyen d’investir. Néanmoins, malgré l’évolution technologique, les objectifs fondamentaux et l’approche des autorités réglementaires restent similaires à ce qui se produit présentement. Cet article analyse l’impact de l’Internet sur le commerce des valeurs mobilières en se concentrant sur les problèmes soulevés par l’utilisation de ce nouveau moyen de communication dans le contexte du marché secondaire. Par conséquent, son objectif est de dresser le portrait des plaintes typiques des investisseurs, de même que celui des activités frauduleuses en valeurs mobilières propres au cyberespace. L’auteur fait une synthèse des développements récents en analysant l’approche des autorités réglementaires, les études doctrinales, la jurisprudence et les cas administratifs. L'auteure désire remercier la professeure Raymonde Crête pour ses précieux commentaires et conseils.

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Les logiciels sont en constante évolution, nécessitant une maintenance et un développement continus. Ils subissent des changements tout au long de leur vie, que ce soit pendant l'ajout de nouvelles fonctionnalités ou la correction de bogues. Lorsque les logiciels évoluent, leurs architectures ont tendance à se dégrader et deviennent moins adaptables aux nouvelles spécifications des utilisateurs. En effet, les architectures de ces logiciels deviennent plus complexes et plus difficiles à maintenir à cause des nombreuses dépendances entre les artefacts. Par conséquent, les développeurs doivent comprendre les dépendances entre les artefacts des logiciels pour prendre des mesures proactives qui facilitent les futurs changements et ralentissent la dégradation des architectures des logiciels. D'une part, le maintien d'un logiciel sans la compréhension des les dépendances entre ses artefacts peut conduire à l'introduction de défauts. D'autre part, lorsque les développeurs manquent de connaissances sur l'impact de leurs activités de maintenance, ils peuvent introduire des défauts de conception, qui ont un impact négatif sur l'évolution du logiciel. Ainsi, les développeurs ont besoin de mécanismes pour comprendre comment le changement d'un artefact impacte le reste du logiciel. Dans cette thèse, nous proposons trois contributions principales : La spécification de deux nouveaux patrons de changement et leurs utilisations pour fournir aux développeurs des informations utiles concernant les dépendances de co-changement. La spécification de la relation entre les patrons d'évolutions des artefacts et les fautes. La découverte de la relation entre les dépendances des anti-patrons et la prédisposition des différentes composantes d'un logiciel aux fautes.

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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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Imprisonment is the most common method of punishment resorted to by almost all legal systems.The new theories of crime causation propounded in the latter half of the nineteenth century gave rise to the feeling that the prisons could be used as appropriate institutions for reforming the offenders. It called for individualisation of punishment.As a result of international movements for humanisation of prisons the judiciary' in tine common law countries started taking active interest in prisoner's treatment.Various studies reveal that much has been done in America to improve the lot of prisoners and to treat them as human beings.The courts there have gone to the extent of saying that there is no iron curtain between a prisoner and the constitution. Most of the rights available to citizens except those which they cannot enjoy due to the conditions of incarceration have also been granted to prisoner.In India also the judiciary has come forward to protect the rights of the prisoners.Maneka Gandhi is a turning point in prisoner's rights.The repeated intervention of courts in prison administration project the view that prisoners have been denied the basic human rights.The High Courts and the Supreme Court of India have been gradually exercising jurisdiction ixl assuming prison justice, including improving the quality of food and amenities, payment of wages and appropriate standards of medical care. Access to courts must be made easier to the aggrieved prisoners.The government should come forward along with some public spirited citizens and voluntary organisations to form a "discharged prisoner“ aid society. The society should exploit opportunities for rehabilitation of prisoners after their release.Most of the prison buildings in the State of Kerala are ill-equipped, ill furnished and without proper ventilation or sanitation and with insufficient water supply arrangements.In India prisoners and prisons today are governed by the old central legislations like Prisons Act l894 Prisoners Act 1900 and the Transfer of Prisoners Act 1950.

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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.