olive oil extraction methods and technology can affect the quality and quantity of the extracted oil. in this study, qualitative and quantitative parameters were investigated for oil extracted using a hammer crusher at 720 and 1450 rpm at 30°, 40°, 60° c mixing temperatures. the data were analyzed using a complete randomized block factorial design using spss software with three replications. th...

Stabilometry is a branch of medicine that studies balance-related human functions. The analysis of stabilometric-generated time series can be very useful to the diagnosis and treatment balance-related dysfunctions such as dizziness. In stabilometry, the key nuggets of information in a time series signal are concentrated within definite time periods known as events. In this study, a feature extr...

Time series of sensor databases and scientific time series often consist of periodic patterns. Examples can be found in environmental analysis, where repeated measurements of climatic attributes like temperature, humidity or barometric pressure are taken. Depending on season-specific meteorological influences, curves of consecutive days can be strongly related to each other, whereas days of dif...

background: dna isolation procedure can significantly influence the quantification of dna by real time pcr specially when cell free dna (cfdna) is the subject. to assess the extraction efficiency, linearity of the extraction yield, presence of co-purified inhibitors and to avoid problems with fragment size relevant to cfdna, development of appropriate external dna control (edc) is challenging. ...

Maintenance of a sensor part typically means renewal of the sensor in regular intervals or replacing the malfunctioning sensor. However optimal timing of the replacement can reduce maintenance costs. The aim of this article is to suggest a predictive maintenance strategy for sensors using condition monitoring and early failure detection based on their own collected measurements. Three different...

We participated at NTCIR-2 in the TSC subtask A1 and A-2 using the output of QJR/KSE, a function of key-sentence extraction. Through examining the evaluation results and the human-extracted sentence data of the dryrun subtask A-1, we tried to make an experimental hybrid system incorporating the lead method into the original. In the formal run, the evaluation results of the hybrid system in the ...

This paper presents a tool that enables the direct editing of surface features in large point-clouds or meshes. This is made possible by a novel multi-scale analysis of unstructured point-clouds that automatically extracts the number of relevant features together with their respective scale all over the surface. Then, combining this ingredient with an adequate multi-scale decomposition allows u...

In healthcare applications, temporal variables that encode movement, health status, and longitudinal patient evolution are often accompanied by rich structured information such as demographics, diagnostics and medical exam data. However, current methods do not jointly optimize over structured covariates and time series in the feature extraction process. We present ShortFuse, a method that boost...

background: determination of organic pollutants usually requires extraction of the pollutants from samples, using hazard­ous solvent. solid phase micro-extraction (spme) is a solvent-free equilibrium extraction method, in which, proper calibra­tion can allow quantitative measurements of organic pollutants at a very good sensitivity without the use of any organic sol­vent. because individual voc...