DESIGN AND IMPLEMENTATION OF ASYNCHRONOUS FIR FILTER

This paper presents the architecture of a micropipeline asynchronous digital signal processing chain coupled to non-uniformly sampled data in time. Non-uniform sampling has been proven to be a better scheme than the uniform sampling to sample low activity signals. With such signals, it generates fewer samples, which means less data to process and lower power consumption. In addition, it is well-known that asynchronous logic is a low power technology. We focus on a Finite Impulse Response filter (FIR) applied to this non-uniform sampled signal obtained from an asynchronous analog to digital converter (A-ADC). The FIR filter blocks are implemented using verilog code

Analysis Of Mobile Users’ Activities Using 2 Mean-Normalization Method

In recent decades, with the attracting features of mobiles including 4G and 5G, world is getting more connected to mobile communications. This results in the accumulation of large amount of data in the mobile network. The analysis of the network data is very complex but is essential in terms of resource and cost management. The network data analytics include detection of unusual network behaviour due to traffic created by the mobile users and Short Message Service (SMS) spammers. Research to an approach with the same impulsion is creating a new interest in the field of mobile network data analytics using machine learning tools. To attain this, Call Detail Record (CDR) provided by the telecom network industry is utilized. The timely analysis of CDR helps to understand the behaviour of the network due to various activities of mobile users. To analyse CDR, it has to be pre-processed to convert it from the raw data into machine understandable form. The proposed method is mean-normalization pre-processing which is suitable in understanding the behaviour of mobile users’ individual activities like incoming-outgoing calls, incoming-outgoing SMS and internet activity. Later, machine learning tools can be applied to analyse and predict the network anomalies like network traffic and Short

Determination of Toxic Metals in Indian Smokeless Tobacco Products

This study targets the lesser-known ingredients of smokeless tobacco products, i.e., the toxic metals, in Indian brands. The metals selected in the study included lead (Pb), cadmium (Cd), arsenic (As), copper (Cu), mercury (Hg), and selenium (Se). The differential pulse anodic stripping voltammetry (DPASV) technique was used for estimating the metals Pb, Cd, and Cu; square wave voltammetry for As; and the cold vapor atomic absorption technique for Hg. The resulting levels of the metals were compared to the daily consumption of the smokeless tobacco products. It was observed that almost 30% of gutkha brand samples exceeded the permissible levels of metals Pb and Cu, when compared to the provisional tolerable intake limits determined by the FAO/WHO. The reliability of data was assured by analyzing standard reference materials

Development and application of an advanced PAT strategy to an integrated continuous drug substance manufacturing process

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Reduced Amino Acid Specificity of Mammalian Tyrosyl-tRNA Synthetase is Associated with Elevated Mistranslation of Tyr Codons

Quality control operates at different steps in translation to limit errors to approximately one mistranslated codon per 10,000 codons during mRNA-directed protein synthesis. Recent studies have suggested that error rates may actually vary considerably during translation under different growth conditions. Here we examined the misincorporation of Phe at Tyr codons during synthesis of a recombinant antibody produced in tyrosine-limited Chinese hamster ovary (CHO) cells. Tyr to Phe replacements were previously found to occur throughout the antibody at a rate of up to 0.7% irrespective of the identity or context of the Tyr codon translated. Despite this comparatively high mistranslation rate, no significant change in cellular viability was observed. Monitoring of Phe and Tyr levels revealed that changes in error rates correlated with changes in amino acid pools, suggesting that mischarging of tRNATyr with noncognate Phe by tyrosyl-tRNA synthetase was responsible for mistranslation. Steady-state kinetic analyses of CHO cytoplasmic tyrosyl-tRNA synthetase revealed a 25-fold lower specificity for Tyr over Phe as compared with previously characterized bacterial enzymes, consistent with the observed increase in translation error rates during tyrosine limitation. Functional comparisons of mammalian and bacterial tyrosyl-tRNA synthetase revealed key differences at residues responsible for amino acid recognition, highlighting differences in evolutionary constraints for translation quality control

Acanthamoeba Encephalitis in Patient with Systemic Lupus, India

We report a fatal case of encephalitis caused by Acanthamoeba in a 24-year-old woman from India with systemic lupus erythematosus. Diagnosis was made by identification of amebas in brain sections by immunofluorescence analysis and confirmed by demonstrating Acanthamoeba mitochondrial 16S rRNA gene DNA in brain tissue sections

Effect of plant architecture on microclimate, white mold and yield of dry beans (Phaseolus vulgaris L.) and implications for disease management

White mold, caused by Sclerotinia sclerotiorum Lib. deBary is a serious yield-limiting disease of dry edible beans. Many cultivars/lines that avoid white mold due to upright and open plant architecture do not yield as well as the standard cultivars in the absence of disease but yield better in the presence of disease. Plant architecture influences the microclimate of dry bean plants causing favorable conditions for white mold infections in dense canopies. Experiments consisting of cultivars/lines and near-isolines of dry beans with different plant architectures were conducted in 1990 and 1991 to evaluate white mold and yield under unprotected and protected treatments in a white mold nursery. In a parallel study the microclimate of Great Northern (GN) \u27Starlight\u27 (semi-upright and open canopy) and GN \u27Tara\u27 (prostrate and dense canopy) dry bean cultivars were studied in relation to white mold. Leaf wetness was predicted for canopies of both cultivars. Severe white mold infection developed in the plots in 1990 and a moderate level of infection developed in 1991. Three principal factors (canopy, porosity, and height) were identified by factor analysis. The linear regression of these factors on white mold was 0.56 (cultivars/lines, 1991), 0.58 (near-isolines, 1990), and 0.50 (near-isolines, 1991). Low association (0.08) was found for these factors in 1990 under severe white mold. Diffused non-intercepted radiation and fractal dimension over the furrow and between the rows can be used as a measure of porosity to select lines with avoidance to white mold in the absence of disease. GN \u27Starlight\u27 had shorter dew duration, later onset of dew, earlier drying of dew, higher daytime air and soil temperatures, and lower dew point temperature in comparison to GN \u27Tara\u27. Leaf wetness predictions were fairly accurate for the open canopy of GN \u27Starlight\u27 during day (92%) and nighttime (89%) conditions