Results 71 to 80 of about 174,276,385 (305)

Time series plots of weekly counts of Neurologic, necropsy, and sudden death syndromes.

open access: yes, 2019
Time series plots of weekly counts of Neurologic, necropsy, and sudden death syndromes.
Yevgeniy Elbert (502440)   +5 more
core   +1 more source

Linking reproduction and survival can improve model estimates of vital rates derived from limited time-series counts of pinnipeds and other species. [PDF]

open access: yesPLoS ONE, 2013
We propose a method to model the physiological link between somatic survival and reproductive output that reduces the number of parameters that need to be estimated by models designed to determine combinations of birth and death rates that produce ...
Brian C Battaile, Andrew W Trites
doaj   +1 more source

Change Detection in INARCH Time Series of Counts

open access: yes, 2016
In the present paper we develop an online procedure for detecting changes in the parameters of integer ARCH models of order one. The test statistic utilizes the notion of the empirical probability generating function.
Hudecová, Šárka   +2 more
openaire   +4 more sources

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik   +5 more
wiley   +1 more source

Potential for early warning of viral influenza activity in the community by monitoring clinical diagnoses of influenza in hospital emergency departments

open access: yesBMC Public Health, 2007
Background Although syndromic surveillance systems are gaining acceptance as useful tools in public health, doubts remain about whether the anticipated early warning benefits exist.
Muscatello David J   +3 more
doaj   +1 more source

Nutrient/TOR signaling controls adipose mitochondrial transcription factor A (TFAM) to regulate organismal growth in Drosophila

open access: yesFEBS Letters, EarlyView.
Animals must match their growth rate to available nutrients. We show that in Drosophila larvae, the nutrient‐sensing TOR kinase controls growth by regulating levels of TFAM, a key regulator of mitochondrial function, in the adipose tissue. When nutrients are abundant, high TOR activity suppresses TFAM, lowering mitochondrial bioenergetic activity and ...
Shrivani Sriskanthadevan‐Pirahas   +4 more
wiley   +1 more source

On the Validity of Granger Causality for Ecological Count Time Series

open access: yesEconometrics
Knowledge of causal relationships is fundamental for understanding the dynamic mechanisms of ecological systems. To detect such relationships from multivariate time series, Granger causality, an idea first developed in econometrics, has been formulated ...
Konstantinos G. Papaspyropoulos   +1 more
doaj   +1 more source

Evaluation of Deterministic and Stochastic Components of Traffic Counts

open access: yesPromet (Zagreb), 2012
Traffic counts or statistical evidence of the traffic processare often a characteristic of time-series data. In this paper fundamentalproblem of estimating deterministic and stochasticcomponents of a traffic process are considered, in the context of ...
Ivan Bošnjak   +2 more
doaj   +1 more source

Weekly dengue forecasts in Iquitos, Peru; San Juan, Puerto Rico; and Singapore.

open access: yesPLoS Neglected Tropical Diseases, 2020
BackgroundPredictive models can serve as early warning systems and can be used to forecast future risk of various infectious diseases. Conventionally, regression and time series models are used to forecast dengue incidence, using dengue surveillance (e.g.
Corey M Benedum   +4 more
doaj   +1 more source

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

open access: yesFEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley   +1 more source

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