A Multifaceted Independent Performance Analysis of Facial Subspace Recognition Algorithms

Face recognition has emerged as the fastest growing biometric technology and has expanded a lot in the last few years. Many new algorithms and commercial systems have been proposed and developed. Most of them use Principal Component Analysis (PCA) as a base for their techniques. Different and even conflicting results have been reported by researchers comparing these algorithms. The purpose of this study is to have an independent comparative analysis considering both performance and computational complexity of six appearance based face recognition algorithms namely PCA, 2DPCA, A2DPCA, (2D)²PCA, LPP and 2DLPP under equal working conditions. This study was motivated due to the lack of unbiased comprehensive comparative analysis of some recent subspace methods with diverse distance metric combinations. For comparison with other studies, FERET, ORL and YALE databases have been used with evaluation criteria as of FERET evaluations which closely simulate real life scenarios. A comparison of results with previous studies is performed and anomalies are reported. An important contribution of this study is that it presents the suitable performance conditions for each of the algorithms under consideration.     

The spermatheca of Melanoplus sanguinipes (Fabr.). I. Morphology,histology, and histochemistry

The spermatheca of Melanoplus sanguinipes consists of a preapical and an apical diverticulum, and a long, thin ductus seminalis. Histologically, the three components are identical. The wall of the spermatheca includes a basement membrane, secretory and epithelial cells, and a cuticular intima. Small, discrete bundles of muscle occur outside the basement membrane. In each secretory cell is a large central cavity which connects with a cuticular channel (efferent ductule) running through the epithelial cell to the spermathecal lumen. During sexual maturation, light- and dark-staining vesicles accumulate in the secretory cells and discharge their contents into the central cavity. Simultaneously, glycogen accumulates in the epithelial cells. Allatectomy of newly emerged females renders the secretory cells unable to produce material, an effect which can be reversed by topical application of synthetic juvenile hormone. The secretion contains protein and acidic mucopolysaccharide. After insemination the quantities of secretion in the lumen and of glycogen in the epithelial cells diminish in the preapical diverticulum where almost all sperm are stored. As the number of sperm declines, the secretion and glycogen are replenished.     

Comparing aflatoxin contamination in chilies from Punjab,Pakistan produced in summer and winter

A comparison was made of total aflatoxins (AFs) in 43 samples of chilies collected during winter and 42 in summer to determine the effect of season on contamination. The samples were analyzed by HPLC with fluorescence detection. The limits of detection and quantification for AFB₁ and AFG₁ were 0.05 μg/kg and 0.50 μg/kg, whilst for AFG₂ and AFB₂ they were 0.10 μg/kg and 0.60 μg/kg. In the winter samples, AFs were detected in 18 (72%) whole and 14 (60%) ground chilies, with concentration ranges 0.00-52.30 μg/kg and 0.00-74.60 μg/kg respectively. In the summer samples, 17 (64%) whole and 12 (76%) ground chilies were contaminated with AFs at concentrations 0.00-61.50 μg/kg and 0.00-95.90 μg/kg respectively. The percentage of samples greater than the European Union statutory limit for AFB₁ and total AF for whole chilies were 48 and 36%, compared with ground chili values of 50 and 45%, respectively, in the winter season. In the summer season, the samples greater than the European Union limit for AFB₁ and total AF in whole chilies were 52 and 38%, compared with values of 54 and 49% in ground chilies respectively. AF contamination was found to be higher in summer chili samples and hence winter chilies may provide a better quality product with respect to AF contamination. The ability to undertake this analysis in Pakistan will enhance greatly the ability to improve chili production in that country, as described herein.     

Recombinant Antigens rLipL21, rLoa22, rLipL32 and rLigACon4-8 for Serological Diagnosis of Leptospirosis by Enzyme-Linked Immunosorbent Assays in Dogs

Animal leptospirosis is one of the most common zoonotic diseases in the United States and around the world. In a previous study, we applied four recombinant antigens, rLipL21, rLoa22, rLipL32 and rLigACon4-8 of Leptospira interrogans (L. interrogans) for the serological diagnosis of equine leptospirosis (Ye et al, Serodiagnosis of equine leptospirosis by ELISA using four recombinant protein markers, Clin. Vaccine. Immunol. 21:478–483). In this study, the same four recombinant antigens were evaluated for their potential to diagnose canine leptospirosis by ELISA. A total of 305 canine sera that were Leptospira microscopic agglutination test (MAT)-negative (n = 102) and MAT-positive (n = 203) to 5 serovars (Pomona, Grippotyphosa, Icterohaemorrhagiae, Canicola and Hardjo) were tested. When individual recombinant antigens were used, the sensitivity and specificity of ELISA were 97.5% and 84.3% for rLigACon4-8; 89.7% and 81.4% for rLoa22; 92.6% and 84.3% for rLipL32 and 99.5% and 84.3% for rLipL21, respectively compared to the MAT. The sensitivity and specificity of ELISA were, 92.6% and 91.2% for rLigACon4-8 and rLipL32, 97.5% and 84.3% for rLigACon4-8 and rLipL21, 89.7% and 87.3% for rLigACon4-8 and rLoa22, 89.7% and 87.3% to rLipL21 and rLoa22, 92.6% and 91.2% for rLipL21 and rLipL32 and 89.2% and 94.1% for rLoa22 and rLipL32 when one of the two antigens was test positive. The use of all four antigens in the ELISA assay was found to be sensitive and specific, easy to perform, and agreed with the results of the standard Leptospira Microscopic Agglutination test (MAT) for the diagnosis of canine leptospirosis.     

HCV entry receptors as potential targets for siRNA-based inhibition of HCV

Hepatitis C virus (HCV) infection is a major worldwide problem causes acute and chronic HCV infection. Current treatment of HCV includes pegylated interferon-α (PEG IFN- α) plus ribavirin (RBV) which has significant side effects depending upon the type of genotype. Currently, there is a need to develop antiviral agents, both from synthetic chemistry and Herbal sources. In the last decade, various novel HCV replication, helicase and entry inhibitors have been synthesized and some of which have been entered in different phases of clinical trials. Successful results have been acquired by executing combinational therapy of compounds with standard regime in different HCV replicons. Even though, diverse groups of compounds have been described as antiviral targets against HCV via Specifically Targeted Antiviral Therapy for hepatitis C (STAT-C) approach (in which compounds are designed to directly block HCV or host proteins concerned in HCV replication), still there is a need to improve the properties of existing antiviral compounds. In this review, we sum up potent antiviral compounds against entry, unwinding and replication of HCV and discussed their activity in combination with standard therapy. Conclusively, further innovative research on chemical compounds will lead to consistent standard therapy with fewer side effects.     

Expression, purification and characterization of enoyl-ACP reductase II, FabK, from Porphyromonas gingivalis

The rapid rise in bacterial drug resistance coupled with the low number of novel antimicrobial compounds in the discovery pipeline has led to a critical situation requiring the expedient discovery and characterization of new antimicrobial drug targets. Enzymes in the bacterial fatty acid synthesis pathway, FAS-II, are distinct from their mammalian counterparts, FAS-I, in terms of both structure and mechanism. As such, they represent attractive targets for the design of novel antimicrobial compounds. Enoyl-acyl carrier protein reductase II, FabK, is a key, rate-limiting enzyme in the FAS-II pathway for several bacterial pathogens. The organism, Porphyromonas gingivalis, is a causative agent of chronic periodontitis that affects up to 25% of the US population and incurs a high national burden in terms of cost of treatment. P. gingivalis expresses FabK as the sole enoyl reductase enzyme in its FAS-II cycle, which makes this a particularly appealing target with potential for selective antimicrobial therapy. Herein we report the molecular cloning, expression, purification and characterization of the FabK enzyme from P. gingivalis, only the second organism from which this enzyme has been isolated. Characterization studies have shown that the enzyme is a flavoprotein, the reaction dependent upon FMN and NADPH and proceeding via a Ping-Pong Bi-Bi mechanism to reduce the enoyl substrate. A sensitive assay measuring the fluorescence decrease of NADPH as it is converted to NADP(+) during the reaction has been optimized for high-throughput screening. Finally, protein crystallization conditions have been identified which led to protein crystals that diffract x-rays to high resolution.     

Reverse Engineering Boolean Networks: From Bernoulli Mixture Models to Rule Based Systems

A Boolean network is a graphical model for representing and analyzing the behavior of gene regulatory networks (GRN). In this context, the accurate and efficient reconstruction of a Boolean network is essential for understanding the gene regulation mechanism and the complex relations that exist therein. In this paper we introduce an elegant and efficient algorithm for the reverse engineering of Boolean networks from a time series of multivariate binary data corresponding to gene expression data. We call our method ReBMM, i.e., reverse engineering based on Bernoulli mixture models. The time complexity of most of the existing reverse engineering techniques is quite high and depends upon the indegree of a node in the network. Due to the high complexity of these methods, they can only be applied to sparsely connected networks of small sizes. ReBMM has a time complexity factor, which is independent of the indegree of a node and is quadratic in the number of nodes in the network, a big improvement over other techniques and yet there is little or no compromise in accuracy. We have tested ReBMM on a number of artificial datasets along with simulated data derived from a plant signaling network. We also used this method to reconstruct a network from real experimental observations of microarray data of the yeast cell cycle. Our method provides a natural framework for generating rules from a probabilistic model. It is simple, intuitive and illustrates excellent empirical results.