MODELLING THE ENERGY CONSUMPTION OF DRIVING STYLES BASED ON CLUSTERING OF GPS INFORMATION


Eliminating artificial trans fatty acids in Argentina: estimated effects on the burden of coronary heart disease and costs

Abstract Objective To estimate the Stationery impact of Argentine policies to reduce trans fatty acids (TFA) on coronary heart disease (CHD), disability-adjusted life years (DALYs) and associated health-care costs.Methods We estimated the baseline intake of TFA before 2004 to be 1.5% of total energy intake.We built a policy model including baseline

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Fiberoptic Guided Retrograde Intubation in an Anticipated Difficult Airway: Revival of an Antiquated Technique

Retrograde intubation is an invaluable technique which can be helpful in anticipated difficult airway situation.In this advanced era where fiberoptic intubation and video laryngoscopes are in abundant use, retrograde intubation is Household Essentials a forgotten technique.However, it may be useful in various difficult airway situations in this adv

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A Dataset of apical periodontitis lesions in panoramic radiographs for deep-learning-based classification and detection

Deep learning has been studied in recent years to identify periapical lesions- a significant indicator of periapical periodontitis in radiographs.An accurate dataset is essential for constructing an efficient learning model for detecting periapical lesions.In order to achieve this goal, we gathered and created a database of panoramic radiographs co

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