PREDICTING OF ELDERLY POPULATION STRUCTURE AND DENSITY BY A NOVEL GREY FRACTIONAL-ORDER MODEL WITH THETA RESIDUAL OPTIMIZATION: A CASE STUDY OF SHANGHAI CITY, CHINA

Abstract Background Accurately predicting the future development trend of population aging is conducive to accelerating the development of the elderly care industry.This study constructed a combined optimization grey prediction model to predict the structure and density of elderly population.Methods In this paper, a GT-FGM model is proposed, which

The UniFrac distance metric is often used to separate groups in microbiome analysis, but requires a constant sequencing depth to work properly.Here we demonstrate that unweighted UniFrac is highly sensitive to Crimpers rarefaction instance and to sequencing depth in uniform data sets with no clear structure or separation between groups.We show that

Bipolar disorder is a chronic relapsing condition in which mood episodes are interspersed with periods of wellbeing (euthymia).Shorter periods of euthymia are associated with poorer functioning, so it is crucial TV Stand to identify predictors of relapse to facilitate treatment.Here, we test the hypothesis that specific valence-dependent learning p

Abstract Drug-induced acute interstitial nephritis (AIN) represents a growing cause of renal failure in current medical practice.While antimicrobials and non-steroidal anti-inflammatory drugs are typically associated with drug-induced AIN, few reports have been made on the involvement of other analgesics.We report our experience in managing a 17-ye

The need to arrest the continued environmental contamination and degradation associated with the consumption of fossil-based fuels has continued to serve as an impetus for the increased utilization of renewable fuels.The demand for biodiesel has continued to escalate in the past few decades due to urbanization, industrialization, and stringent gove