Experiences associated with challenging socio-economic conditions may impact on motivational and cognitive processes that influence risk or health information processing. Within a population living in poverty, this study explored whether differences in socio-economic circumstances, and the subjective evaluation of these conditions, were associated with the utilization of new scientific evidence...

Idempotent filters produce a root signal in a single filter pass, i.e., the filter output is invariant to further filterings with the same filter. In this paper median based idempotent filter structures are introduced. Two approaches to generate these filters are studied: weighted median filters and median filter cascades. Two subclasses of n-dimensional idempotent weighted median filters, call...

Random blood glucose analysis by the use of the Trinder’s method was carried out to determine the prevalence of diabetes mellitus among Nigerians in Port Harcourt. The study population were randomly selected and classified into two socio-economic status as high or low based on affluent diet, occupation, income and access to medical care. The mean blood glucose concentration for the high socio-e...

Various transforms are employed for signal processing to obtain useful information, which is not explicitly available when the signal is in the time domain. Most of the real time signals such as speech, biomedical signals, etc., are non-stationary signals. The Fourier transform (FT), used for most of the signal processing applications, determines the frequency components present in the signal b...

Socio-economic differences in diet are a potential contributor to health inequalities. The present study provides an up-to-date picture of socio-economic differences in diet in the UK, focusing on the consumption of three food groups and two nutrients of public health concern: fruit and vegetables; red and processed meat; oily fish; saturated fats; non-milk extrinsic sugars (NMES). We analysed ...

Two-dimensional (TD) adaptive filtering is a technique that can be applied to many image, and signal processing applications. This paper extends the one-dimensional adaptive filter algorithms to TD structures and the novel TD adaptive filters are established. Based on this extension, the TD variable step-size normalized least mean squares (TD-VSS-NLMS), the TD-VSS affine projection algorithms (...

genomic signal processing is a relatively new field in bioinformatics, in which signal processing algorithms and methods are used to study functional structures in the dna. an appropriate mapping of the dna sequence into one or more numerical sequences enables the use of many digital signal processing tools in the analysis of different genomic sequences. also, a novel influenza a (h1n1) virus o...

one of the most common signals used for achieving high range resolution in radar is stepped-frequency signals. when a target is stationary in these radars, dft (discrete fourier transform) based processing is used to attain high range resolution profile (hrrp). however, in the case of moving target, due to spreading of the echo signal spectrum, dft based processing is not optimal and decreases ...

objective(s): microarrays are potential analyzing tools for genomics and proteomics researches, which is in needed of suitable substrate for coating and also hybridization of biomolecules.   materials and methods: in this research, a thin film of oxidized agarose was prepared on the glass slides which previously coated with poly-l-lysine (pll). some of the aldehyde groups of the activated agaro...