Fit of bicycle safety helmets and risk of head injuries in children. Injury Prevention, Chang, L. Fit Effect of Motorcycle Helmet. Yu, W. Effectiveness of different types of motorcycle helmets and effects of their improper use on head injuries. International journal of epidemiology, p. Greenhill, D. Sports Health, Hopes, P. Helmets: a new look at design and possible protection. Gilchrist, A. Plastics rubber and composites processing and applications, MacAlister, A. Proceedings Coulson, N. Translational and rotational accelerations generated during reconstructed ice hockey impacts on a Hybrid III head form.
McIntosh, A. Evaluation of cricket helmet performance and comparison with baseball and ice hockey helmets. British journal of sports medicine, Walsh, E. The influence of impact location and angle on the dynamic impact response of a hybrid III headform.
Sports Engineering, Mihalik, J. Effect of ice hockey helmet fit on cervical spine motion during an emergency log roll procedure. Clinical Journal of Sport Medicine, Petschauer, M. Sherbondy, P. The effect of protective equipment on cervical spine alignment in collegiate lacrosse players. The American journal of sports medicine, Allen, E.
Helmets and mouth guards: the role of personal equipment in preventing sport-related concussions. Forbes, J. Association between biomechanical parameters and concussion in helmeted collisions in American football: a review of the literature. Neurosurgical focus, Viano, D. Impact performance of modern football helmets. Can helmet design reduce the risk of concussion in football? Technical note. Jadischke, R. Football helmet fitment and its effect on helmet performance. Morehouse, C. Emery, C. Injury rates, risk factors, and mechanisms of injury in minor hockey.
Zhang, L. A proposed injury threshold for mild traumatic brain injury.
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Methodology of Research and Analysis and Modeling.
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Materials Manufacturing and Processing. Ei Compendex www. Template Download Here Submissions must be original, unpublished work, and not have been submitted to another conference or journal for publication. The effects of hypothalamo- pituitary adrenocortical,corticotrophin releasing hormone, denocorticotropin, are discussed in this work.https://quiformicopo.ml
Keywords: hypothalamo- pituitary -adrenocortical, corticotrophin, adenocorticotropin. Abstract: Homotopy perturbation method is attempted to evaluate the cross-diffusion forest boundary dynamics. The effects of exothermic and endothermic parameters are are discussed. Keywords: Homotopy perturbation method, forest boundary dynamics. Abstract: he core objective of the work is to propose a distributed environment based lazy learning Associative Classification AC.
Associative Classification is a hybrid version of data mining tasks which integrated both Association Rule Mining ARM and Classification technique to construct accurate classifier. Unfortunately, the AC used for learning these classifier are less popular in real time for building application due to its higher computation time complexity and memory constraints in large volume of datasets. To overcome such downsides, we proposed a distributed and parallel computing for lazy learning associative classification for accelerating algorithm performance by projecting the testing instances with large training datasets.
In this work, we have implemented MapReduce based algorithms which reduce the computation by eliminates the need of constructing generalized classifier.
It also well handled rare rules and generated institutive rules. The proposed algorithm may be suitable in area such as network intrusion detection, fraud detection, crowd analysis, rare disease prediction and crime analysis. Our algorithm has been compared with well known existing algorithms in relations of precision and running time.
The experiments result has strengthened the proposed algorithm well handle the rare rules in distributed environment and is making better performance even the size of the datasets is huge. Abstract: Modern techniques such as predictive analytics have gained a lot of research attraction these days. In the competitive world, it is important for a business people to predict the pulse of customer to shine. With predictive analytics, it is possible to see what a customer will buy next.
The goal is to increase the profit earned by a company. In this paper, various hypothesis tests have been conducted for analysing the purchases of a customer.
Initially, the purchases have been analysed by grouping the purchases gender wise and by analysing what group of people buy more products. It also finds out which group prefers for promotion codes and discounts and for what type of products they preferred more. In which store, the sales of products are more and in which state, the sales are maximum.
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Based on this, techniques for improving the sales of a product is suggested. Abstract: In India, the number of people applying for the loans gets increased for various reasons in recent years. The bank employees are not able to analyse or predict whether the customer can payback the amount or not good customer or bad customer for the given interest rate. The aim of this paper is to find the nature of the client applying for the personal loan. An exploratory data analysis technique is used to deal with this problem.
The result of the analysis shows that short term loans are preferred by majority of the clients and the clients majorly apply loans for debt consolidation. Abstract: Heart disease is frightening the people around the world and in some countries it is the number one disease which leads to death. Biomedical research efforts help to prevent and treat heart disease in a better way.
Handling large amount of data is often very tedious with traditional methods which lead into problems, particularly in high level of complexity and vagueness factors. Mining frequent patterns from large databases has emerged as an important area in data mining research and knowledge discovery community; this also contributes so much to health care domain.
This heart prediction system helps to predict heart related problems at an early stage. The proposed system predicts heart related issues of a person based on questions and the answers given to the prediction system. To have better results in minimum time duration an Enhanced Apriori algorithm was introduced which is an improvement of Apriori algorithm. The experimental results proved that the proposed approach performs faster and memory efficient with more number of patterns. Abstract: In recent times, teaching and learning methods have a direct impact on students' learning experiences.
Blended learning is a combination of face-to-face and online delivery methods which influences students' perceptions on the learning environments to a great extent. Learning analytics is a growing trend at all levels of education. Relevant data has been collected from undergraduate and postgraduate students who are exposed to a blended learning environment while learning programming subjects. Learning analytics has been applied on the collected data. It can be inferred from the results that the blended learning approach is more beneficial for students who are skilled in using certain computer programs and applications.
The study results also provide new insights into the student preferences for learning in such knowledge sharing collaborative environments. Keywords: Blended learning, Learning analytics, Collaboration, Knowledge sharing.
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