Background: Alopecia areata (AA) is a common form of localized, nonscarring hair loss. It is characterized by the loss of hair in patches, total loss of scalp hair (alopecia totalis, AT), or total loss of body hair (alopecia universalis, AU). The cause of AA is unknown, although most evidence supports the hypothesis that AA is a T-cell-mediated autoimmune disease of the hair follicle and that cytokines play an important role. Aims: The aim of the study was to compare the serum levels of tumor necrosis factor-alpha (TNF-α) in patients with AA and the healthy subjects and also to investigate the difference between the localized form of the disease with the extensive forms like AT and AU. Materials and Methods: Sixty patients with AA and 20 healthy controls were enrolled in the study. Forty-six patients had localized AA (LAA), and 14 patients had AT, AU, or AT/AU. The serum levels of TNF-α were measured using enzyme-linked immunoassay techniques. Results: Serum levels of TNF-α were significantly higher in AA patients than in controls (10.31 ± 1.20 pg ml vs 9.59 ± 0.75 pg/ml, respectively). There was no significant difference in serum levels of TNF-α between patients with LAA and those with extensive forms of the disease. Conclusion: Our findings support the evidence that elevation of serum TNF-α is associated with AA. The exact role of serum TNF-α in AA should be additionally investigated in future studies.

In the present study, the mixed-mode fracture toughness of an adhesively bonded composite joint system was examined using a variety of linear elastic fracture mechanics (LEFM) based tests. These tests include the mode I double cantilever beam (DCB), mixed-mode asymmetrical DCB (ADCB) and mode II end load split (ELS) test. The joint system was also evaluated using the wide area lap shear (WALS) test that is often employed by the aerospace industry. While lap shear type tests are relatively simple to perform and post-process compared to their LEFM counterparts, the results can often be misleading and are greatly dependent on the overlap length, thickness of substrate and type of fillet. The experimental tests were also simulated using OpenFOAM, a finite volume based software package. Through this combined experimental-numerical approach, a greater understanding of the influence of the peel ply surface treatment and scrim cloth on the behaviour of the WALS test was achieved.

In this study the adhesive joint fracture behaviour of a nano-toughened epoxy adhesive was investigated. Two experimental test methods were used; (i) the standard tapered double cantilever beam (TDCB) test to measure the mode I adhesive joint fracture energy, GIC, as a function of bond gap thickness and (ii) a circumferentially deep notched tensile test to determine the cohesive strength of the adhesive for a range of constraint levels. It was found that the fracture energy of the adhesive followed the well-known bond gap thickness dependency [1]. SEM analysis of the TDCB fracture surfaces revealed significant plastic void growth. Finally, numerical modelling of the experimental tests suggested that most of the fracture energy was dissipated via highly localised plasticity in the fracture process zone ahead of the crack tip.

Configuration space integrals have in recent years been used for studying the cohomology of spaces of (string) knots and links in $\mathbb{R}^n$ for $n>3$ since they provide a map from a certain differential algebra of diagrams to the deRham complex of differential forms on the spaces of knots and links. We refine this construction so that it now applies to the space of homotopy string links -- the space of smooth maps of some number of copies of $\mathbb{R}$ in $\mathbb{R}^n$ with fixed behavior outside a compact set and such that the images of the copies of $\R$ are disjoint -- even for $n=3$. We further study the case $n=3$ in degree zero and show that our integrals represent a universal finite type invariant of the space of classical homotopy string links. As a consequence, we obtain configuration space integral expressions for Milnor invariants of string links.

SCADA (Supervisory Control and Data Acquisition) systems are computer systems used for monitoring and controlling industrial processes such as power plants and power grid systems, water, gas and oil distribution systems, production systems for food, cars and other products. We propose a new approach for regulating and detecting malicious behaviour of network devices in SCADA systems. Our approach consists of building proles that describe normal communication between pairs of devices in the network. Each prole describes four aspects of network communication: device ngerprint, connectivity pattern, pseudo-protocol pattern and packet content. We validate our approach using network trac from two real-life SCADA installations.