Introduction:Blood transfusions form a crucial and irreplaceable part in the medical management of many diseases. The collection of blood from voluntary, non-remunerated blood donors from low risk populations is an important measure for ensuring the availability and safety of blood transfusion. In a state like Uttarakhand which is visited by lakhs of visitors during pilgrimage season and where natural calamities and accidents are very common, the availability of blood is of utmost importance.Aim:To find out knowledge, attitude and practices of people towards voluntary blood donation to comprehend the situation and find ways to enhance voluntary blood donation in the state of Uttarakhand.Materials and Methods:Multi stage methodology was designed to target population including general population, influencers (doctors) and supporting organizations (camp organizers, State AIDS Control Society Officials) who were subjected to in-depth interview using pre-structured questionnaires to assess knowledge/awareness about voluntary blood donation, factors preventing and source of knowledge about voluntary blood donation.Result:The sample population consisted of mostly men (67%) in the age-group of 26-35 years. Requirement of blood and the measures to promote voluntary blood donation have a direct relationship with the total population and literacy level of the population. Awareness about blood donation, source of knowledge about blood donation, reasons for not donating blood are particularly stressed. With increase in educational level, the awareness level was also found to increase. While among illiterates 81 percent of the respondents knew about blood donation, among the post graduates the same ratio was found to be almost cent-percent. Among various reasons cited for not donating blood, lack of awareness being the most common reason. People gathered information about blood donation from several different sources with electronic media being the most prominent.Conclusion:This study illustrates how increasing awareness and marketing ‘Voluntary blood donation’ can enhance adequacy of blood needs of a state or for that matter the entire country. This study also underlines how different media, especially electronic media, can be used to propagate altruistic blood donation.
The next-generation NOAA/NESDIS GOES-R hyperspectral sounder, now referred to as the HES (Hyperspectral Environmental Suite), will have hyperspectral resolution (over one thousand channels with spectral widths on the order of 0.5 wavenumber) and high spatial resolution (less than 10 km). Hyperspectral sounder data is a particular class of data requiring high accuracy for useful retrieval of atmospheric temperature and moisture profiles, surface characteristics, cloud properties, and trace gas information. Hence compression of these data sets is better to be lossless or near lossless. Given the large volume of three-dimensional hyperspectral sounder data that will be generated by the HES instrument, the use of robust data compression techniques will be beneficial to data transfer and archive. In this paper, we study lossless data compression for the HES using 3D integer wavelet transforms via the lifting schemes. The wavelet coefficients are processed with the 3D set partitioning in hierarchical trees (SPIHT) scheme followed by context-based arithmetic coding. SPIHT provides better coding efficiency than Shapiro's original embedded zerotree wavelet (EZW) algorithm. We extend the 3D SPIHT scheme to take on any size of 3D satellite data, each of whose dimensions need not be divisible by 2 N , where N is the levels of the wavelet decomposition being performed. The compression ratios of various kinds of wavelet transforms are presented along with a comparison with the JPEG2000 codec.
This paper provides a study concerning the suitability of well-known image coding techniques originally devised for lossy compression of still natural images when applied to lossless compression of ultraspectral sounder data. An ultraspectral sounder generates an unprecedented amount of 3D data, consisting of two spatial and one spectral dimensions; with ultraspectral sounder data, better inference of atmospheric, cloud and surface parameters is feasible.Here we present the experimental results of five widespread wavelet-based coding techniques, namely EZW, IC, SPIHT, JPEG2000 and CCSDS-IDC. Since the considered still image coding techniques are 2D in nature, but the ultraspectral data is 3D, a preprocessing step is applied to convert the two spatial dimensions into a single one. We are also interested in analyzing the benefits of applying some pre-processing step (e.g. Linear Prediction or Bias Adjusted Reordering) prior to the coding process in order to further exploit the spectral correlation, which is much stronger than the spatial correlation.
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