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We develop a Bayesian time-varying model that tracks periods at which conformance to Benford's Law is lower. Our methods are motivated by recent attempts to assess how the quality and homogeneity of large datasets may change over time by using the First-Digit Rule. We resort to a smooth multinomial logistic model which captures the dynamics governing the proportion of first digits, and apply the proposed model to global tropical cyclone tracks over the past two centuries. Our findings indicate that cumulative technological improvements may have only had a moderate influence on the homogeneity of the dataset, and hint that recent heterogeneity could be due to other drivers.
This article was published in the following journal.
Name: PloS one
Plant phenological responses to climate change now constitute one of the best studied areas of the ecological impacts of climate change. Flowering time responses to climate change of wind-pollinated s...
In this chapter, we review the problem of network inference from time-course data, focusing on a class of graphical models known as dynamic Bayesian networks (DBNs). We discuss the relationship of DBN...
Climate change threatens the provisioning of forest ecosystem services and biodiversity (ESB). The climate sensitivity of ESB may vary with forest development from young to old-growth conditions as st...
A pressing question for climate change adaptation is whether ongoing transformations of the agricultural sector affect its ability to cope with climatic variations. We examine this question in the Uni...
We present new global maps of the Köppen-Geiger climate classification at an unprecedented 1-km resolution for the present-day (1980-2016) and for projected future conditions (2071-2100) under climat...
The aim of the study was to compare the effect of inpatient physiotherapy in a warm climate versus physiotherapy in a colder climate in multiple sclerosis (MS), in both short- and long ter...
The Cyprus International Institute for Environmental and Public Health of the Cyprus University of Technology is planning a pilot study of health indicators in relation to spatially varyin...
The aim of this study is to investigate changes in nutrient intake, the human gut microbiota and pesticide excretion in urine when shifting from conventional food habits to sustainable foo...
Population pharmacokinetic modeling mathematically describes the pharmacokinetics of a drug and the variables likely to influence it in a "typical" patient population. We propose to model ...
The best treatment plan for Juvenile Idiopathic Arthritis (JIA) is often complicated. Patients and clinicians often don't know what is the best treatment strategy for a given patient at a ...
Any significant change in measures of climate (such as temperature, precipitation, or wind) lasting for an extended period (decades or longer). It may result from natural factors such as changes in the sun's intensity, natural processes within the climate system such as changes in ocean circulation, or human activities.
A climate characterized by COLD TEMPERATURE for a majority of the time during the year.
A type of climate characterized by insufficient moisture to support appreciable plant life. It is a climate of extreme aridity, usually of extreme heat, and of negligible rainfall. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 4th ed)
An animal or plant species in danger of extinction. Causes can include human activity, changing climate, or change in predator/prey ratios.
A climate which is typical of equatorial and tropical regions, i.e., one with continually high temperatures with considerable precipitation, at least during part of the year. (McGraw-Hill Dictionary of Scientific and Technical Terms, 4th ed)
Tropical Medicine is the study of diseases more commonly found in tropical regions than elsewhere. Examples of these diseases are malaria, yellow fever, Chagas disease, Dengue, Helminths, African trypanosomiasis, Leishmaniasis, Leprosy, Lymphatic filaria...