BACKGROUND We describe online optical measurements of urea in the effluent dialysate line during regular hemodialysis treatment of several patients. Monitoring urea removal can provide valuable information about dialysis efficiency. METHODS Spectral measurements were performed with a Fourier-transform infrared spectrometer equipped with a flow-through cell. Spectra were recorded across the 50...

We present a general strategy for filling the missing data of the CATS benchmark time series prediction competition. Our approach builds upon a time-symmetric embedding of this time series and the use of a one-shot forecasting for each missing value inside the gaps from distant-enough delayed and forwarded predictors. In the extrapolation region we perform standard, non-iterated forward predict...

MODerate resolution Imaging Spectroradiometer (MODIS) data are largely used in multitemporal analysis of various Earth-related phenomena, such as vegetation phenology, land use/land cover change, deforestation monitoring, and time series analysis. In general, the MODIS products used to undertake multitemporal analysis are composite mosaics of the best pixels over a certain period of time. Howev...

MOTIVATION Disease classification from molecular measurements typically requires an analysis pipeline from raw noisy measurements to final classification results. Multi capillary column-ion mobility spectrometry (MCC-IMS) is a promising technology for the detection of volatile organic compounds in the air of exhaled breath. From raw measurements, the peak regions representing the compounds have...

Although the Normalized Difference Vegetation Index (NDVI) time-series data, derived from NOAA/AVHRR, SPOT/VEGETATION, TERRA or AQUA/MODIS, has been successfully used in research regarding global environmental change, residual noise in the NDVI timeseries data, even after applying strict pre-processing, impedes further analysis and risks generating erroneous results. Based on the assumptions th...

OBJECTIVE A method for rapid analysis of the refining process of honey was developed based on near-infrared (NIR) spectroscopy. METHODS Partial least square calibration models were built for the four components after the selection of the optimal spectral pretreatment method and latent factors. RESULTS The models covered the samples of different temperatures and time points, therefore the mo...

There are several methods in assessing the traits of rice including destructive and non-destructive method. The objective of this study is to evaluate the amylose content (AC) on seven types of rice grain in Malaysia market by using the Near-Infrared (NIR) Spectroscopy. AC is one of the main criteria to determine cooked rice quality. Total of samples are 210, there are including two types of br...

Raman spectroscopy is a powerful non-destructive technique for qualitatively and quantitatively characterizing materials. However, noise often obscures interesting Raman peaks due to the inherently weak Raman signal, especially in biological samples. In this study, we develop a method based on spectral reconstruction to recover Raman spectra with low signal-to-noise ratio (SNR). The synthesis o...

The purity of waxy corn seed is a very important index of seed quality. A novel procedure for the classification of corn seed varieties was developed based on the combined spectral, morphological, and texture features extracted from visible and near-infrared (VIS/NIR) hyperspectral images. For the purpose of exploration and comparison, images of both sides of corn kernels (150 kernels of each v...

The objective of this study was to develop a nondestructive method to evaluate chemical components such as moisture content (MC), pH, and soluble solid content (SSC) in intact tomatoes by using hyperspectral imaging in the range of 1000–1550 nm. The mean spectra of the 95 matured tomato samples were extracted from the hyperspectral images, and multivariate calibration models were built by using...