Molecular transport through nanoporous silicon nitride membranes produced from self-assembling block copolymers

To achieve fast and selective molecular filtration, membrane materials must ideally exhibit a thin porous skin and a high density of pores with a narrow size distribution. Here, we report the fabrication of nanoporous silicon nitride membranes (NSiMs) at the full wafer scale using a versatile process combining block copolymer (BCP) self-assembly and conventional photolithography/etching techniques. In our method, self-assembled BCP micelles are used as templates for creating sub-100 nm nanopores in a thin low-stress silicon nitride layer, which is then released from the underlying silicon wafer by etching. The process yields 100 nm thick free-standing NSiMs of various lateral dimensions (up to a few mm(2)). We show that the membranes exhibit a high pore density, while still retaining excellent mechanical strength. Permeation experiments reveal that the molecular transport rate across NSiMs is up to 16-fold faster than that of commercial polymeric membranes. Moreover, using dextran molecules of various molecular weights, we also demonstrate that size-based separation can be achieved with a very good selectivity. These new silicon nanosieves offer a relevant technological alternative to commercially available ultra- and microfiltration membranes for conducting high resolution biomolecular separations at small scales.     

The Evaluation of Static Deficiencies of Lower Limbs with the Use of Non-Contact Measurement

The purpose of this paper is to develop a procedure of the lower limbs volumetric modelling using the laser measurement arm and the evaluation of defects, which can cause disorders in the field of locomotion. The procedure is presented based on the analysis of two specimens: woman (age 22) and man (age 23), whose lower limbs are fully formed. The method includes the laser scanning and the lower limbs regularity evaluation based on the characteristic lines, which were identified during palpation examination of the skin and bones characteristic points or during the radiological examination. The valgus knee and the knee joint hyperextension were determined for the woman’s case and no deficiencies for the man’s case. Presented procedure has a screening application and can support the rehabilitation process. The advantage is that the developed method is noninvasive and the diagnostics can be performed while muscles are active in the natural standing position. The SL method was verified by the Laser Tracker system. On the group of 55 students with the average age of 10.4 years, the measurements were performed in order to define the influence of BMI on the correctness of the results, which were achieved while using the proposed method of the evaluation of the static deficiencies. No relevant influence of BMI on errors occurring in the determination of defects valgus and varus of the lower limbs.     

Tropinone-Derived Alkaloids as Potent Anticancer Agents: Synthesis,Tyrosinase Inhibition,Mechanism of Action,DFT Calculation,and Molecular Docking Studies

A new series of hybrid compounds with tropinone and thiazole rings in the structure was designed and synthesized as potential anticancer agents. They were tested against human multiple myeloma (RPMI 8226), lung carcinoma (A549), breast adenocarcinoma (MDA-MB-231), and mouse skin melanoma (B16-F10) cell lines. Toxicity was tested on human normal skin fibroblasts (HSF) and normal colon fibroblasts (CCD-18Co). The growth inhibition mechanism of the most active derivative was analyzed through investigation of its effect on the distribution of cell cycle phases and ability to induce apoptosis and necrosis in RPMI 8226 and A549 cancer cells. The tyrosinase inhibitory potential was assessed, followed by molecular docking studies. Compounds 3a–3h show high anticancer activity against MDA-MB-231 and B16-F10 cell lines with IC₅₀ values of 1.51–3.03 µM. Moreover, the cytotoxic activity of the investigated compounds against HSF and CCD-18Co cells was 8–70 times lower than against the cancer cells or no toxicity was shown in our tests, with derivative 3a being particularly successful. The mechanism of action of compound 3a in RPMI 8226 cell was shown to be through induction of cell death through apoptosis. The derivatives show ability to inhibit the tyrosinase activity with a mixed mechanism of inhibition. The final molecular docking results showed for IC₅₀ distinct correlation with experiment.     

Mechanism of forward current transport in modified-surface Au-CdTe photodiodes

Current-voltage characteristics of surface-barrier diodes based on n-CdTe substrates treated in aqueous solutions of alkali metal salts were studied. It was found that the forward current is controlled by recombination processes in the space-charge region and the above-barrier carrier transport.     

Initialization of high‐order accuracy immersed interface CFD solvers using complex CAD geometry

This study concerns the development of a numerical methodology for initializing immersed interface‐based CFD solvers for using complex computer‐aided design (CAD) geometry. CFD solvers with higher‐order discretization stencils require larger stencil widths, which become problematic in regions of space where insufficient mesh resolution is available. This problem becomes especially challenging when convoluted triangulated surface meshes generated from complex solid models are used to initialize the cut‐cells. A pragmatic balance between desired local geometry resolution and numerical accuracy is often required to find a practical solution. Here, a robust iterative fill algorithm is presented that balances geometry resolution with numerical accuracy (via stencil size). Several examples are presented to illustrate the use of this initialization procedure that employs both the original CAD generated triangulated surface mesh, along with a level set representation of the surface to initialize cut‐cells and boundary proximity measures for creation of CFD stencils. Convergence error analysis of surface area and enclosed volumes is first presented to show the effects of fill on the geometry as a function of desired stencil size and grid resolution. The algorithm is then applied to geometrically complex problems using large eddy simulation. Two problems are considered. The first is flow around the Eiffel Tower. The second is a combustion swirler in the context of a design problem. Copyright © 2016 John Wiley & Sons, Ltd.     

Lipid Fractions,Fatty Acid Profiles,and Bioactive Compounds of Lithospermum officinale L. Seeds

Seeds of Lithospermum officinale L. from different climatic zones were analyzed for new sources of γ-linolenic acid (GLA, 18:3n-6) and stearidonic acid (SDA, 18:4n-3). Cultured Borago officinalis was also analyzed for comparative purposes. Analyses were conducted for fatty acid (FA) profiles of the glyceride oils from the seeds and in the neutral and polar lipids by gas chromatography (GC); lipid classes by open column chromatography and preparative thin layer chromatography (TLC); and tocopherols, sterols, and phenolic compounds by high-performance liquid chromatography with diode array detection (HPLC-DAD), and the later compounds were confirmed by liquid-chromatography-mass spectrometry (LC–MS). L. officinale from St. Petersburg Botanical Garden showed the highest percentage of GLA (17.9% of total FA), while wild-growing L. officinale from the Rostov region contained the highest percentage of SDA (17.2% of total FA). Total FA content ranged from 11.3 to 20.8% of seed weight. Neutral and polar lipids accounted for ~98 and 2.27%, respectively, of total lipids. Five neutral lipid classes were identified (% of NL): triterpene esters (1.3), triacylglycerols (93.1), free FA (1.8), diacylglycerols (1.4), and monoacylglycerols (2.4). The highest tocopherol content was found in samples from Chechen Republic (35.7 mg/100 g), in which the δ isomer was the main component. Samples from the Rostov region had the highest amounts of sterols (83.8 mg/100 g), and Δ⁵-avenasterol was the predominant compound in all samples. L. officinale seeds contain high amounts of phenolic compounds (389.9 mg/100 g as upper limit), in which rosmarinic acid is highlighted. Overall, all data suggest the possibility of using L. officinale seed oil in pharmaceutical and cosmetic formulae and as functional food.     

Feature evaluation for web crawler detection with data mining techniques

Distributed Denial of Service (DDoS) is one of the most damaging attacks on the Internet security today. Recently, malicious web crawlers have been used to execute automated DDoS attacks on web sites across the WWW. In this study we examine the effect of applying seven well-established data mining classification algorithms on static web server access logs in order to: (1) classify user sessions as belonging to either automated web crawlers or human visitors and (2) identify which of the automated web crawlers sessions exhibit ‘malicious’ behavior and are potentially participants in a DDoS attack. The classification performance is evaluated in terms of classification accuracy, recall, precision and F₁ score. Seven out of nine vector (i.e. web-session) features employed in our work are borrowed from earlier studies on classification of user sessions as belonging to web crawlers. However, we also introduce two novel web-session features: the consecutive sequential request ratio and standard deviation of page request depth. The effectiveness of the new features is evaluated in terms of the information gain and gain ratio metrics. The experimental results demonstrate the potential of the new features to improve the accuracy of data mining classifiers in identifying malicious and well-behaved web crawler sessions.     

Detection of malicious and non-malicious website visitors using unsupervised neural network learning

Distributed denials of service (DDoS) attacks are recognized as one of the most damaging attacks on the Internet security today. Recently, malicious web crawlers have been used to execute automated DDoS attacks on web sites across the WWW. In this study, we examine the use of two unsupervised neural network (NN) learning algorithms for the purpose web-log analysis: the Self-Organizing Map (SOM) and Modified Adaptive Resonance Theory 2 (Modified ART2). In particular, through the use of SOM and modified ART2, our work aims to obtain a better insight into the types and distribution of visitors to a public web-site based on their browsing behavior, as well as to investigate the relative differences and/or similarities between malicious web crawlers and other non-malicious visitor groups. The results of our study show that, even though there is a pretty clear separation between malicious web-crawlers and other visitor groups, 52% of malicious crawlers exhibit very ‘human-like’ browsing behavior and as such pose a particular challenge for future web-site security systems. Also, we show that some of the feature values of malicious crawlers that exhibit very ‘human-like’ browsing behavior are not significantly different than the features values of human visitors. Additionally, we show that Google, MSN and Yahoo crawlers exhibit distinct crawling behavior.