Constructing and applying higher order textons: Estimating breast cancer risk

Texture analysis based on textons is extended by introducing a method for computing textons of arbitrary order. First-, second- and third-order textons are applied to classify screening mammograms as to indicate a low or high risk of breast cancer. First-order textons are found to provide better estimates of breast cancer risk than other orders on their own but the combination of first- and second-order textons outperforms first-order textons alone and other combinations of two orders. Combining all three orders of textons does not improve classification. This example indicates that including higher-order textons has the potential to improve classification performance.     

Influence of aldehyde fixation on the morphology of endosomes and lysosomes: quantitative analysis and electron tomography

Cryoimmobilization is regarded as the most reliable method to preserve cellular ultrastructure for electron microscopic analysis, because it is both fast (milliseconds) and avoids the use of harmful chemicals on living cells. For immunolabelling studies samples have to be dehydrated by freeze‐substitution and embedded in a resin. Strangely, although most of the lipids are maintained, intracellular membranes such as endoplasmic reticulum, Golgi and mitochondrial membranes are often poorly contrasted and hardly visible. By contrast, Tokuyasu cryosectioning, based on chemical fixation with aldehydes is the best established and generally most efficient method for localization of proteins by immunogold labelling. Despite the invasive character of the aldehyde fixation, the Tokuyasu method yields a reasonably good ultrastructural preservation in combination with excellent membrane contrast. In some cases, however, dramatic differences in cellular ultrastructure, especially of membranous structures, could be revealed by comparison of the chemical with the cryofixation method. To make use of the advantages of the two different approaches a more general and quantitative knowledge of the influence of aldehyde fixation on ultrastructure is needed. Therefore, we have measured the size and shape of endosomes and lysosomes in high‐pressure frozen and aldehyde‐fixed cells and found that aldehyde fixation causes a significant deformation and reduction of endosomal volume without affecting the membrane length. There was no considerable influence on the lysosomes. Ultrastructural changes caused by aldehyde fixation are most dramatic for endosomes with tubular extensions, as could be visualized with electron tomography. The implications for the interpretation of immunogold localization studies on chemically fixed cells are discussed.     

Friction enhancement in concertina locomotion of snakes

Narrow crevices are challenging terrain for most organisms and biomimetic robots. Snakes move through crevices using sequential folding and unfolding of their bodies in the manner of an accordion or concertina. In this combined experimental and theoretical investigation, we elucidate this effective means of moving through channels. We measure the frictional properties of corn snakes, their body kinematics and the transverse forces they apply to channels of varying width and inclination. To climb channels inclined at 60°, we find snakes use a combination of ingenious friction-enhancing techniques, including digging their ventral scales to double their frictional coefficient and pushing channel walls transversely with up to nine times body weight. Theoretical modelling of a one-dimensional n-linked crawler is used to calculate the transverse force factor of safety: we find snakes push up to four times more than required to prevent sliding backwards, presumably trading metabolic energy for an assurance of wall stability.     

Reliability-Based Design Optimization for Durability of Ground Vehicle Suspension System Components

The effect of materials processing- and component manufacturing-induced uncertainties in material properties and component shape and size on the reliability of component performance is investigated. Specifically, reliability of a suspension system component from a high-mobility multipurpose wheeled vehicle which typically can fail under low-cycle strain-based fatigue conditions is analyzed. Toward that end, the most advanced reliability-based design optimization methods available in the literature were combined with the present understanding of low-cycle fatigue durability and applied to the component in question. This entailed intricate integration of several computational tools such as multibody vehicle dynamics, finite-element simulations, and fatigue strain-life assessment/prediction techniques. The results obtained clearly revealed the importance of consideration of material property uncertainties in attaining vehicle performance of critical structural components in complex systems (e.g., a vehicle).     

An Application of Wavelets in Tomography

A method of tomographic inversion using wavelets is described which relies on the “diagonalization” property of wavelets for the derivative of the Hilber transform. Error bounds are given for reconstruction using the technique and an optimal wavelet which minimizes the error is presented. The method is well suited for inversion of from local data.     

Comparison of in vivo and in vitro reporter gene assays for short-term screening of estrogenic activity

Functional in vitro and in vivo reporter gene assays have recently been developed for the rapid determination of exposure to (xeno)estrogens. The in vitro estrogen receptor (ER)-mediated chemically activated luciferase gene expression (ER-CALUX) assay uses T47D human breast cancer cells stably transfected with an ER-mediated luciferase gene construct. In the in vivo assay, transgenic zebrafish are used in which the same luciferase construct has been stably introduced. In both assays, luciferase reporter gene activity can be easily quantified following short-term exposure to chemicals activating endogenous estrogen receptors. The objective of this study was to compare responses by known (xeno)estrogenic compounds in both assays. Exposure to the (xeno)estrogens estradiol (E2), estrone, ethynylestradiol (EE2), o,p'-DDT, nonylphenol (NP), and di(2-ethylhexyl)phthalate (DEHP) revealed that EE2 was the most potent (xeno)estrogen tested and was 100 times more potent than E2 in the transgenic zebrafish assay, whereas in the in vitro ER-CALUX assay, EE2 and E2 were equipotent Although the xenoestrogens o,p'-DDT and NP were full estrogen agonists in the in vitro ER-CALUX assay, only o,p'-DDT demonstrated weak dose-related estrogenic activity in vivo. To determine if differences in reporter gene activity may be explained by differential affinity of (xeno)estrogens to human and zebrafish ERs, full-length sequences of the zebrafish ER subtypes alpha, beta, and gamma were cloned, and transactivation by (xeno)estrogens was compared to human ERalpha and ERbeta. Using transiently transfected recombinant ER and reporter gene constructs, EE2 also showed relatively potent activation of zebrafish ERalpha and ERbeta compared to human ERalpha and ERbeta. Zebrafish ERbeta and ERgamma showed higher transactivation by (xeno)estrogens relative to E2 than human ERbeta.     

Screw-generated forces in granular media: Experimental,computational, and analytical comparison

This study presents an experimental, computational, and analytical comparison of a submerged, double-helix Archimedes screw generating propulsive force against a bed of glass beads. Three screws of different pitch lengths were studied. Each screw was tested at six speeds in approximately 10 trials for a total of 180 experimental trials. These experiments were then replicated in EDEM, a discrete element method (DEM) software program. DEM simulation results for thrust forces in the 30–120 rpm regime had a 5%–20% inflation of forces compared to experimental results. These simulations were then compared with resistive force theory (RFT) plate approximation of the screw geometries. We analyze a superposition-based partition approach to the full-length screws as well as force generation in shortened, one- and two-blade screws. We find that the force generation is dependent on the flow patterns and cannot be reduced to partitioned approximations as with simple intruders. © 2018 American Institute of Chemical Engineers AIChE J, 65: 894–903, 2019     

A generalized machine learning-based model for the detection of DDoS attacks

As time is progressing, the number and the complexity of methods adopted for launching distributed denial of service (DDoS) attacks are changing. Therefore, we propose a methodology for the development of a generalized machine learning (ML)-based model for the detection of DDoS attacks. After exploring various attributes of the dataset chosen for this study, we propose an integrated feature selection (IFS) method which consists of three stages and integration of two different methods, that is, filter and embedded methods to select features which highly contribute to the detection of various types of DDoS attacks. We use light gradient boosting machine (LGBM) algorithm for training of the model for classification of benign and malicious flows. For ensuring satisfactory performance and generalized behavior of the developed model, we test it by passing records of unseen DDoS attack types. Several performance metrics are employed for the evaluation of the model. By comparing the performance of developed model against state-of-the-art models, we state an improvement of around 20% for almost all the reported metrics. We also show that the performance of the model improves if feature space is reduced by 77%. Furthermore, the generalized behavior of the developed model is justified by demonstrating a trade-off between high variance and high bias ML models.