Improving feature selection algorithms using normalised feature histograms

The proposed feature selection method builds a histogram of the most stable features from random subsets of a training set and ranks the features based on a classifier based cross-validation. This approach reduces the instability of features obtained by conventional feature selection methods that occur with variation in training data and selection criteria. Classification results on four microarray and three image datasets using three major feature selection criteria and a naive Bayes classifier show considerable improvement over benchmark results

DEVELOPMENT OF DRIBBLING BASIC TECHNIQUE SKILL OF STUDENTS OF PSTS TABING PADANG FOOTBALL SCHOOL

The objective of this research is to create dribbling learning models and to experiment dribbling training models of playing football for students of Football School (FBS) of PSTS Tabing Padang. This research was conducted at the FBS using the football experts and the students as the subjects. The research conducted was development model of Borg and Gall. The validation data of the experts were collected through field notes and questionnaires, analyzed by descriptive analysis technique. The dribbling basic technique skill of football was analyzed by using t-test. The research findings are as follows: (1) football dribbling basic technique skill which were developed based on the training principles and training methodology, starting from the simple one and ended by game situation, (2) the training model is very effective to be used in the process of training, (3) it was empirically proved that the model was effective. Keywords: training model; dribbling; playing football

ARM MUSCLES EXPLOSIVE POWER TO INCREASE DISCUS THROW SKILL

oai:jurnalunj.journal.unj.ac.id:article/1092The purpose of the study is to find out the relationship among arm muscles explosive power, body core flexibility, achievement motivation and discus throw skill. In this case, the samples totaled 50 students from study program of physical education, faculty of pedagogy and science education "Syiah Kuala" University involving 100 (male) students selected by simple random sampling technique. This research using survey method, quantitative approach and correlational technique. The research concludes (1) it has positive relationship between arm power explosive power and discus throw skill (2) it has relationship significantly between body core flexibility and discus throw skill. (3) the relationship is positive between motivation and discus throw skill, (4) it has positive relationship among arm muscles explosive power, achievement motivation and discus throw skill.   Keywords: explosive; flexibility; motivation and discus.&nbsp

Fuels and Burners for Domestic Heating

Discusses fuels and burners for domestic heating, including hand-fired coal or coke, automatic coal stoker, gas-fired heaters, oil burners. INlcudes table of comparative fuel costs

Reductions in connectivity and habitat quality drive local extinctions in a plant diversity hotspot

It is well documented that habitat loss is a major cause of biodiversity decline. However, the roles of the different aspects of habitat loss in local extinctions are less understood. Anthropogenic destruction of an area of habitat causes immediate local extinction but subsequently three additional gradual drivers influence the likelihood of delayed extinction: decreased habitat patch size, lower connectivity and habitat deterioration. We investigated the role of these drivers in local extinctions of 82 declining species in a UK biodiversity hotspot. We combined a unique set of ≈7000 vegetation surveys and habitat maps from the 1930s with contemporary species’ occurrences. We extrapolated from these surveys to the whole 2500-km2 study area using habitat suitability surfaces. The strengths of drivers in explaining local extinctions over this 70 year period were determined by contrasting connectivity, patch size and habitat quality loss for locations at which a species went extinct and those with persisting occurrences. Species’ occurrences declined on average by 60%, with half of local extinctions attributable to immediate habitat loss and half to the gradual processes causing delayed extinctions. On average, locations where a species persisted had a 73% higher contemporary connectivity than those suffering extinctions, but showed no differences in historical connectivity. Furthermore, locations with extinctions experienced a 37% greater decline in suitability associated with changes in habitat type. The strength of the drivers and the proportion of extinctions depended on the species’ habitat specialism, but were affected only minimally by life-history characteristics. In conclusion, we identified a hierarchy of drivers influencing local extinction: with connectivity loss being the strongest, suitability change being moderately important, but changes in habitat patch size having only weak effects. We suggest conservation efforts could be most effective by strengthening connectivity along with reducing habitat deterioration, which would benefit a wide range of species

End-of-Life decision tool with emphasis on remanufacturing

Remanufacturing is a product recovery strategy resulting in end-of-life products being returned to as new condition or better and receiving a warranty at least equivalent to the original. To differentiate remanufacturing from other forms of product recovery, a clear definition of a remanufactured product is essential. At present two distinct methods for understanding end-of-life recovery strategies exist; a) the use of tools and b) definitions. These current methods fall short however of categorically stating what is and what is not a remanufactured product. Therefore, the responsibility of classifying a product as remanufactured is left to individuals and organizations and so potential exists for products to be incorrectly labelled. By firstly examining the problems associated with using existing methods to determine the status of end-of-life product, and why product identification is important, this paper then goes on to present a new simple innovative method to quickly and accurately determine the status of a product which has undergone an end-of-life recovery strategy, by virtue of a bespoke tool. The tool presented is the result of two rounds of academic and industrial feedback; an initial tool was presented, and underwent critique, at the International Conference on Remanufacturing 2015 with an updated tool then subject to another independent review from academic and industrial stakeholders. The main benefits associated with this tool are, a) a quick way to identify the status of a product, b) a method for researchers to quickly determine the best terminology for end-of-life products which have received a recovery treatment, c) a quick and reliable method to check whether a remanufactured product is labelled as something else, d) an additional way to ensure compliance with existing legislation and standards, and e) an identification of only the essential characteristics of a remanufactured product

Modelling the spread and control of Xylella fastidiosa in the early stages of invasion in Apulia, Italy

Xylella fastidiosa is an important plant pathogen that attacks several plants of economic importance. Once restricted to the Americas, the bacterium, which causes olive quick decline syndrome, was discovered near Lecce, Italy in 2013. Since the initial outbreak, it has invaded 23,000 ha of olives in the Apulian Region, southern Italy, and is of great concern throughout Mediterranean basin. Therefore, predicting its spread and estimating the efficacy of control are of utmost importance. As data on this invasive infectious disease are poor, we have developed a spatially-explicit simulation model for X. fastidiosa to provide guidance for predicting spread in the early stages of invasion and inform management strategies. The model qualitatively and quantitatively predicts the patterns of spread. We model control zones currently employed in Apulia, showing that increasing buffer widths decrease infection risk beyond the control zone, but this may not halt the spread completely due to stochastic long-distance jumps caused by vector dispersal. Therefore, management practices should aim to reduce vector long-distance dispersal. We find optimal control scenarios that minimise control effort while reducing X. fastidiosa spread maximally—suggesting that increasing buffer zone widths should be favoured over surveillance efforts as control budgets increase. Our model highlights the importance of non-olive hosts which increase the spread rate of the disease and may lead to an order of magnitude increase in risk. Many aspects of X. fastidiosa disease invasion remain uncertain and hinder forecasting; we recommend future studies investigating quantification of the infection growth rate, and short and long distance dispersal

Inventory and review of quantitative models for spread of plant pests for use in pest risk assessment for the EU territory

This report considers the prospects for increasing the use of quantitative models for plant pest spread and dispersal in EFSA Plant Health risk assessments. The agreed major aims were to provide an overview of current modelling approaches and their strengths and weaknesses for risk assessment, and to develop and test a system for risk assessors to select appropriate models for application. First, we conducted an extensive literature review, based on protocols developed for systematic reviews. The review located 468 models for plant pest spread and dispersal and these were entered into a searchable and secure Electronic Model Inventory database. A cluster analysis on how these models were formulated allowed us to identify eight distinct major modelling strategies that were differentiated by the types of pests they were used for and the ways in which they were parameterised and analysed. These strategies varied in their strengths and weaknesses, meaning that no single approach was the most useful for all elements of risk assessment. Therefore we developed a Decision Support Scheme (DSS) to guide model selection. The DSS identifies the most appropriate strategies by weighing up the goals of risk assessment and constraints imposed by lack of data or expertise. Searching and filtering the Electronic Model Inventory then allows the assessor to locate specific models within those strategies that can be applied. This DSS was tested in seven case studies covering a range of risk assessment scenarios, pest types and dispersal mechanisms. These demonstrate the effectiveness of the DSS for selecting models that can be applied to contribute to EFSA Plant Health risk assessments. Therefore, quantitative spread and dispersal modelling has potential to improve current risk assessment protocols and contribute to reducing the serious impacts of plant pests in Europe