Performance analysis of support vector machines classifiers in breast cancer mammography recognition

Support vector machine (SVM) is a supervised machine learning approach that was recognized as a statistical learning apotheosis for the small-sample database. SVM has shown its excellent learning and generalization ability and has been extensively employed in many areas. This paper presents a performance analysis of six types of SVMs for the diagnosis of the classical Wisconsin breast cancer problem from a statistical point of view. The classification performance of standard SVM (St-SVM) is analyzed and compared with those of the other modified classifiers such as proximal support vector machine (PSVM) classifiers, Lagrangian support vector machines (LSVM), finite Newton method for Lagrangian support vector machine (NSVM), Linear programming support vector machines (LPSVM), and smooth support vector machine (SSVM). The experimental results reveal that these SVM classifiers achieve very fast, simple, and efficient breast cancer diagnosis. The training results indicated that LSVM has the lowest accuracy of 95.6107 %, while St-SVM performed better than other methods for all performance indices (accuracy = 97.71 %) and is closely followed by LPSVM (accuracy = 97.3282). However, in the validation phase, the overall accuracies of LPSVM achieved 97.1429 %, which was superior to LSVM (95.4286 %), SSVM (96.5714 %), PSVM (96 %), NSVM (96.5714 %), and St-SVM (94.86 %). Value of ROC and MCC for LPSVM achieved 0.9938 and 0.9369, respectively, which outperformed other classifiers. The results strongly suggest that LPSVM can aid in the diagnosis of breast cancer.     

Characterization and in vitro drug release properties of chitosan/acrylamide/gold nanocomposite prepared by gamma irradiation

A nanocomposite of (chitosan/polyacrylamide/gold) (Cs/AAm/Au) and (chitosan/polyacrylamide) (Cs/AAm) hydrogel were performed using gamma radiation and employed as a carrier for Cisplatin cancer drug. The structure and morphology were studied by FTIR and FE-SEM, respectively. XRD and TEM confirmed the formation of the nanoconposite. The average particle size ranged between 13 to 27?nm. EDX estimated that the concentration of Au⁰ nanoparticles in (Cs/AAm/Au) nanocomposite was 0.20%. Both (Cs/AAm) and (Cs/AAm/Au) have higher swelling percent and reached the swelling equilibrium within 6?h. The optimum pH of swelling was at pH 7.2. The maximum Cisplatin drug released was 33% for Cs/AAm hydrogel and 96% for Cs/AAm/Au nanocomposite at pH 7.2 through 320 and 410?min, respectively. The release mechanism was found to be followed the non-Fickian diffusion mechanism for both systems. The cytotoxicity against liver cancer (HepG2) was investigated. Cisplatin drug loaded samples (Cs/AAm) drug loaded hydrogel of concentration 100?μg/ml killed 76.4% of the cells and IC₅₀ reached 29?μg/ml whereas (Cs/AAm/Au) drug loaded nanocomposite killed 84.9 of the cells and IC₅₀ reached 22.7?μg/ml.     

Effect of cold atmospheric plasma on the physicochemical and functional properties of myofibrillar protein from Alaska pollock (Theragra chalcogramma)

This study aimed to investigate the effect of cold atmospheric plasma (CAP) on the physicochemical and functional properties of myofibrillar protein isolated from Alaska pollock (Theragra chalcogramma) muscle. Free sulfhydryl content, surface hydrophobicity, turbidity, differential scanning calorimetry, SDS-PAGE, heat-induced myofibrillar protein gel properties and water holding capacity were determined to evaluate the effect of CAP treatment on protein properties. CAP treatment from 10 to 60 kV for 10 min significantly (P < 0.05) increased the water holding capacity, textural properties and colour properties of heat-induced myofibrillar protein gel. As treatment voltage increased, free sulfhydryl content decreased significantly, while the turbidity and surface hydrophobicity of myofibrillar protein were increased. DSC data showed enhancement of thermal stability of the treated samples; however, the electrophoretic profile displayed a significant reduction in the band's intensity of protein at a higher voltage. These results suggest that cold atmospheric plasma (CAP) treatment could be used as an alternative approach to enhance the gelling properties of myofibrillar protein from Alaska pollock.     

Structurally Diverse Histone Deacetylase Photoreactive Probes: Design,Synthesis, and Photolabeling Studies in Live Cells and Tissue

Histone deacetylase (HDAC) activity is modulated in vivo by post-translational modifications and formation of multiprotein complexes. Novel chemical tools to study how these factors affect engagement of HDAC isoforms by HDAC inhibitors (HDACi) in cells and tissues are needed. In this study, a synthetic strategy to access chemically diverse photoreactive probes (PRPs) was developed and used to prepare seven novel HDAC PRPs 9 – 15 . The class I HDAC isoform engagement by PRPs was determined in biochemical assays and photolabeling experiments in live SET-2, HepG2, HuH7, and HEK293T cell lines and in mouse liver tissue. Unlike the HDAC protein abundance and biochemical activity against recombinant HDACs, the chemotype of the PRPs and the type of cells were key in defining the engagement of HDAC isoforms in live cells. Our findings suggest that engagement of HDAC isoforms by HDACi in vivo may be substantially modulated in a cell- and tissue-type-dependent manner.     

Reduction of patulin in aqueous solution by lactic acid bacteria

This study aims to investigate the ability of lactic acid bacteria (LAB) to remove patulin (PAT) from aqueous solution with respect to the bacterial viability, initial PAT concentration, incubation time, temperature, and pH. The removal of PAT determined by high-performance liquid chromatography (HPLC) coupled with UV detector. The maximum PAT uptake was achieved by Bifidobacterium bifidum 6071 and Lactobacillus rhamnosus 6149 strains (52.9% and 51.1%) for viable and (54.1% and 52.0%) for nonviable cells after 24 h incubation. The highest removal of PAT was at pH 4.0 and 37 °C and increased with decreasing of toxin levels. The removal ability of selected strains could represent new strategies for a possible application in contaminated food products and animal feed.     

Eco friendly adsorbents for removal of phenol from aqueous solution employing nanoparticle zero-valent iron synthesized from modified green tea bio-waste and supported on silty clay

The present research investigated a novel route for the synthesis of nanoparticle zero-valent iron(NZVI) utilizing an aqueous extract of green tea waste as a reductant with ferric chloride. Also, the supported nanoparticle zerovalent iron was synthesized using natural silty clay as a support material(SC-NZVI). The NZVI and SC-NZVI were characterized by infrared spectroscopy(FTIR), scanning electron microscope(SEM), X-ray diffraction(XRD),Brunauer–Emmett–Teller(BET), and zeta potential(ζ). The interpretation of the results demonstrated that the polyphenol and other antioxidants in green tea waste can be used as reduction and capping agents in NZVI synthesis, with silty clay an adequate support. Additionally, the experiments were carried out to explore phenol adsorption by NZVI and SC-NZVI. To determine the optimum conditions, the impact of diverse experimental factors(i.e., initial pH, adsorbent dose, temperature, and concentration of phenol) was studied. Langmuir, Freundlich,and Tempkin isotherms were used as representatives of adsorption equilibrium. The obtained results indicated that the adsorption processes for both NZVI and SC-NZVI well fitted by the Freundlich isotherm model. The appropriateness of pseudo_first_order and pseudo_second_order kinetics was investigated. The experimental kinetics data were good explained by the second-order model. The thermodynamic parameters(ΔH0, ΔS0, andΔG0) for NZVI and SC-NZVI were determined. The maximum removal rates of phenol at optimum conditions,when adsorbed onto NZVI and SC-NZVI, were found to be 94.8% and 90.1%, respectively.     

Differential Effects of Cytopathic Hypoxia on Human Retinal Endothelial Cellular Behavior: Implication for Ischemic Retinopathies

Loss of barrier integrity of retinal endothelial cells (RECs) is an early feature of ischemic retinopathies (IRs), but the triggering mechanisms remain incompletely understood. Previous studies have reported mitochondrial dysfunction in several forms of IRs, which creates a cytopathic hypoxic environment where cells cannot use oxygen for energy production. Nonetheless, the contribution of cytopathic hypoxia to the REC barrier failure has not been fully explored. In this study, we dissect in-depth the role of cytopathic hypoxia in impairing the barrier function of REC. We employed the electric cell-substrate impedance sensing (ECIS) technology to monitor in real-time the impedance (Z) and hence the barrier functionality of human RECs (HRECs) under cytopathic hypoxia-inducing agent, Cobalt(II) chloride (CoCl₂). Furthermore, data were deconvoluted to test the effect of cytopathic hypoxia on the three key components of barrier integrity; R_b (paracellular resistance between HRECs), α (basolateral adhesion between HRECs and the extracellular matrix), and C_m (HREC membrane capacitance). Our results showed that CoCl₂ decreased the Z of HRECs dose-dependently. Specifically, the R_b parameter of the HREC barrier was the parameter that declined first and most significantly by the cytopathic hypoxia-inducing agent and in a dose-dependent manner. When R_b began to fall to its minimum, other parameters of the HREC barrier, including α and C_m, were unaffected. Interestingly, the compromised effect of cytopathic hypoxia on R_b was associated with mitochondrial dysfunction but not with cytotoxicity. In conclusion, our results demonstrate distinguishable dielectric properties of HRECs under cytopathic hypoxia in which the paracellular junction between adjacent HRECs is the most vulnerable target. Such selective behavior could be utilized to screen agents or genes that maintain and strengthen the assembly of HRECs tight junction complex.     

A random microstructure-based model to study the effect of the shape of reinforcement particles on the damage of elastoplastic particulate metal matrix composites

The mechanical properties of materials are greatly affected by the occurrence of the first damage during the loading process. This study presents a comprehensive investigation of the effect of particulate shape and combination of two shapes or more, as a design parameter, on the damage mechanism of particulate-reinforced metal matrix composites (PRMMCs). In the context of a random microstructure-based finite element modelling, the proposed model accounts for all possible failure modes; plastic deformation and ductile cracking of the matrix, matrix-particle interface decohesion, and brittle fracture of the reinforcement particles. The matrix plastic deformation and cracking are, respectively, modeled via Johnson-Cook constitutive relation and Johnson-Cook ductile fracture model. The cohesive zone method is adopted to simulate the particle-matrix interfacial debonding. The particle fracture is simulated using an elastic-brittle cracking model, in which the damage evolution criterion depends on the crack opening energy. An extensive parametric study is carried out to explore the effect of different shapes of SiC particles; circular, hexagons, squares, triangles, and their combinations, on the damage mechanism and consequences of failure of A359/SiC particulate composites.