BACKGROUND The purpose of this study was to evaluate the effects of topical nipradilol monotherapy for 5 years on intraocular pressure, visual field performance, and optic disk topography. METHODS Thirty patients with normal tension glaucoma were monitored for intraocular pressure every 1-3 months. A Humphrey visual field test and measurement of optic disk configuration using the Heidelberg r...

This paper presents a comparative study of various trend detection methods developed using fuzzy logic, statistical, and regression techniques. A new method that uses noise rejection fuzzy clustering is also proposed in the paper to enhance the performance of trend detection methodologies. The comparative investigation has produced systematic guidelines for the selection of a proper trend detec...

A method for trend detection, Trigg's technique [Oper. Res. Q. 15, 271 (1964)], has been investigated for use in monitoring trends in control data produced by multitest continuous-flow analyzers. Simulated trend data were used to optimize the method. Actual control data were analyzed retrospectively to determine the frequency of trends and the accuracy of several parameters obtained from Trigg'...

In this paper, trend detection of wave parameters such as significant height, energy period, and power along the Italian seas was carried out. To purpose, time series in period 1979–2018 taken from global atmospheric reanalysis ERA-Interim by European Center for Medium-Range Weather Forecasts (ECMWF) were considered. Choosing a significance level equal to 90%, use Mann–Kendall test allowed esti...

Changes in analytical procedures, and detection limits with sub-detection limit data censoring, can have profound effects on trend analysis and add tedium and uncertainty to the process. Less accurate methods early in the record may produce not only high-biased data but also greater variance. The consequence of this is an artificial induction of a down-trend. In datasets with multiple procedure...

We present two methodologies for the detection of emerging trends in the area of textual data mining. These manual methods are intended to help us improve the performance of our existing fully automatic trend detection system [3]. The first methodology uses citations traces with pruning metrics to generate a document set for an emerging trend. Following this, threshold values are tested to dete...

the aim of this paper is detection of exist of significance climatic trend in west-half of iran. it’s used monthly data of 16 climatic variables on 12 selected synoptic stations in period of 50 years statistic(1951-2000). the variables divided to two temperature and humid groups. the analysis methodology of the study is based on multivariable statistical analysis and box- jenkins forecasting mo...

Accurate trend estimates are necessary for understanding which species are declining and which are most in need of conservation action. Imperfect species detection may result in unreliable trend estimates because this may lead to the overestimation of declines. Because many management decisions are based on population trend estimates, such biases could have severe consequences for conservation ...