Geometrical effects on residual stresses in 7050-T7451 aluminum alloy rods subject to laser shock peening

Laser shock peening (LSP) is an emerging surface treatment technology for metallic materials, which appears to produce more significant compressive residual stresses than those from the conventional shot peening (SP) for fatigue, corrosion and wear resistance, etc. The finite element method has been applied to simulate the laser shock peening treatment to provide the overall numerical assessment of the characteristic physical processes and transformations. However, the previous researchers mostly focused on metallic specimens with simple geometry, e.g. flat surface. The current work investigates geometrical effects of metallic specimens with curved surface on the residual stress fields produced by LSP process using three-dimensional finite element (3-D FEM) analysis and aluminium alloy rods with a middle scalloped section subject to two-sided laser shock peening. Specimens were numerically studied to determine dynamic and residual stress fields with varying laser parameters and geometrical parameters, e.g. laser power intensity and radius of the middle scalloped section. The results showed that the geometrical effects of the curved target surface greatly influenced residual stress fields.

A comparative study on accelerated weathering tests of wool fabrics

This work has used two lightboxes with Philips 500 W MBTF lamps for a comparative trial on the photoyellowing evaluation of untreated wool fabrics under dry and wet conditions. An investigation was made to account for different trends of photoyellowing of the same wool fabric when irradiated by the two lightboxes. The fabric specimens irradiated in one lamp experienced increasing yellowing with irradiation time while specimens from the same wool fabric but irradiated under the other lamp manifested no noticeable color change. These differences are attributed to the susceptibility of wool to small spectral differences between the two MBTF lamps. Furthermore, the color fading results obtained from the commonly used blue wool standard (BWS) references from L1 to L3 show that these reference materials could not effectively reveal changes caused by the spectral differences in two MBTF lamps. These results have important implications for conducting accelerated weathering tests on spectrum-sensitive textile materials, and considerable care should be taken when using BWSs to ensure reliable and consistent irradiation results.

Antidiabetic properties of polysaccharide- and polyphenolic-enriched fractions from the brown seaweed Ascophyllum nodosum

We screened seaweed species from Atlantic Canada for antidiabetic activity by testing extracts for α-glucosidase inhibitory effect and glucose uptake stimulatory activity. An aqueous ethanolic extract of Ascophyllum nodosum was found to be active in both assays, inhibiting rat intestinal α-glucosidase (IC50 = 77 μg/mL) and stimulating basal glucose uptake into 3T3-L1 adipocytes during a 20-minute incubation by about 3-fold (at 400 μg/mL extract). Bioassay-guided fractionation of the A. nodosum extract showed that α-glucosidase inhibition was associated with polyphenolic components in the extract. These polyphenolics, along with other constituents appeared to be responsible for the stimulatory activity on glucose uptake. However, attempts to further concentrate this activity through fractionation techniques were unsuccessful. A crude polyphenol extract (PPE), an enriched polyphenolic fraction (PPE-F1) and a polysaccharide extract (PSE) were prepared from commercial A. nodosum powder and administered to streptozotocin-diabetic mice for up to 4-weeks by daily gavage at 200 mg/kg body mass. PPE and PPE-F1 improved fasting serum glucose level in diabetic mice; however, the effect was only statistically significant at day 14. In addition, PPE-F1 was shown to blunt the rise in blood glucose after an oral sucrose tolerance test in diabetic mice. Mice treated with PPE and PPE-F1 had decreased blood total cholesterol and glycated serum protein levels compared with untreated diabetic mice, whereas PPE also normalized the reduction in liver glycogen level that occurred in diabetic animals. All 3 A. nodosum preparations improved blood antioxidant capacity.

On a établit une recherche d’un produit anti-diabétique, parmi les algues locales de la région Atlantique du Canada, en examinant la capacité d’un effet inhibiteur de l’enzyme α-glucosidase et une stimulation de l’incorporation cellulaire du glucose. Un extrait éthanol-aqueux de Ascophyllum nodosum nous a donné une activité positive chez les deux essais, une inhibition de l’α-glucosidase provenant de l’intestin du rat (IC50 = 77 μg/mL) et puis une stimulation triple, à une concentration de 400 μg/mL, de l’incorporation du glucose dans les adipocytes 3T3-L1 durant une période de 20 minutes. L’extrait de A. nodosum a été divisé, guidé par les résultats biologiques, et a ainsi démontré la présence d’éléments polyphénoliques associé à l’inhibition de l’α-glucosidase. Ces éléments polyphénoliques ainsi que d’autres semblent être responsables de l’incorporation stimulée du glucose. Il a été impossible de raffiner cette activité lors d’une division des composants. Un extrait brut polyphénolique (PPE), un extrait enrichi polyphénolique (PPE-F1) et puis un extrait polysaccharide (PSE) furent préparés d’une poudre commerciale de A. nodosum et utilisés dans une étude utilisant des souris, rendues diabétiques par injections de streptozotocin, traitées par un gavage journalier de l’extrait 200 mg/kg du poids corporel durant une période de 4 semaines. Le taux du glucose sanguin à jeun des souris fut moins élevé en présence des extraits qu’en leurs absence. Cependant, l’effet était seulement significatif au jour 14. Les résultats étant toutefois variables. En plus, lors d’un essai oral de la tolérance au sucrose chez la souris diabétique, l’extrait PPE-F1 a empêché l’augmentation du taux du glucose sanguin. Les extraits PPE et PPE-F1 ont réduit le taux de cholestérol sanguin et les niveaux de glycation des protéines en comparaison de ces niveaux en absence des extraits tandis que l’extrait PPE a présenté une réduction du niveau de glycogène du foie chez les souris diabétiques. Les trois extraits de A. nodosum ont tous amélioré la capacité antioxidante du sang.

Inhibition of inosine monophosphate dehydrogenase reduces adipogenesis and diet-induced obesity

We previously described a putative role for inosine monophosphate dehydrogenase (IMPDH), a rate-limiting enzyme in de novo guanine nucleotide biosynthesis, in lipid accumulation. Here we present data which demonstrate that IMPDH activity is required for differentiation of preadipocytes into mature, lipid-laden adipocytes and maintenance of adipose tissue mass. In 3T3-L1 preadipocytes inhibition of IMPDH with mycophenolic acid (MPA) reduced intracellular GTP levels by 60% (p < 0.05) and blocked adipogenesis (p < 0.05). Co-treatment with guanosine, a substrate in the salvage pathway of nucleotide biosynthesis, restored GTP levels and adipogenesis demonstrating the specificity of these effects. Treatment of diet-induced obese mice with mycophenolate mofetil (MMF), the prodrug of MPA, for 28 days did not affect food intake or lean body mass but reduced body fat content (by 36%, p = 0.002) and adipocyte size (p = 0.03) and number. These data suggest that inhibition of IMPDH may represent a novel strategy to reduce adipose tissue mass.

Targeted disruption of the basic Krüppel-like factor gene (Klf3) reveals a role in adipogenesis

Krüppel-like factors (KLFs) recognize CACCC and GC-rich sequences in gene regulatory elements. Here, we describe the disruption of the murine basic Krüppel-like factor gene (Bklf or Klf3). Klf3 knockout mice have less white adipose tissue, and their fat pads contain smaller and fewer cells. Adipocyte differentiation is altered in murine embryonic fibroblasts from Klf3 knockouts. Klf3 expression was studied in the 3T3-L1 cellular system. Adipocyte differentiation is accompanied by a decline in Klf3 expression, and forced overexpression of Klf3 blocks 3T3-L1 differentiation. Klf3 represses transcription by recruiting C-terminal binding protein (CtBP) corepressors. CtBPs bind NADH and may function as metabolic sensors. A Klf3 mutant that does not bind CtBP cannot block adipogenesis. Other KLFs, Klf2, Klf5, and Klf15, also regulate adipogenesis, and functional CACCC elements occur in key adipogenic genes, including in the C/ebpα promoter. We find that C/ebpα is derepressed in Klf3 and Ctbp knockout fibroblasts and adipocytes from Klf3 knockout mice. Chromatin immunoprecipitations confirm that Klf3 binds the C/ebpα promoter in vivo. These results implicate Klf3 and CtBP in controlling adipogenesis.

Genome - wide association study identifies novel breast cancer susceptibility loci

Breast cancer exhibits familial aggregation, consistent with variation in genetic susceptibility to the disease. Known susceptibility genes account for less than 25% of the familial risk of breast cancer, and the residual genetic variance is likely to be due to variants conferring more moderate risks. To identify further susceptibility alleles, we conducted a two-stage genome-wide association study in 4,398 breast cancer cases and 4,316 controls, followed by a third stage in which 30 single nucleotide polymorphisms (SNPs) were tested for confirmation in 21,860 cases and 22,578 controls from 22 studies. We used 227,876 SNPs that were estimated to correlate with 77% of known common SNPs in Europeans at r² > 0.5. SNPs in five novel independent loci exhibited strong and consistent evidence of association with breast cancer (P < 10^-7). Four of these contain plausible causative genes (FGFR2, TNRC9, MAP3K1 and LSP1). At the second stage, 1,792 SNPs were significant at the P < 0.05 level compared with an estimated 1,343 that would be expected by chance, indicating that many additional common susceptibility alleles may be identifiable by this approach.

VVP808 is a novel agent that improves glucose tolerance in DIO mice

As the prevalence of diabetes mellitus continues to increase, there is an urgent need to discover new, effective treatment strategies to combat this disorder. In this study, we tested a novel agent, VVP808, which we previously demonstrated has insulin-sensitising properties (as measured by an increase in insulin-stimulated glucose uptake in 3T3-L1 adipocytes). A dose-ranging study was performed (10-100mg/kg/d) in C57BL/6J mice that had been fed a high-fat diet (45% of energy) for 12 weeks. VVP808 was administered by single daily oral gavage for a period of 16 days. Body weight, food intake and water intake were measured daily, whilst fasting blood glucose and plasma insulin levels were measured at the beginning and end of the study, with an intra-peritoneal glucose tolerance test (ipGTT) performed on day -1 and day 13. Administration of VVP808 to diet-induced obese (DIO) mice caused a strong dose-dependent improvement in glucose tolerance. There was a 34-42% reduction in the blood glucose area under the curve (AUC) at doses of 20mg/kg, 50mg/kg and 100mg/kg VVP808 (p=0.02-0.005). Administration of VVP808 resulted in a small but significant reduction in body weight in the 50mg/kg and 100mg/kg treated animals relative to vehicle (p=0.01 and 0.001 respectively). This decrease in body weight was associated with a reduction in food intake for the 100mg/kg treated animals only. Epididymal fat pad weight was significantly reduced in animals treated with 100mg/kg VVP808 (p=0.01). Furthermore, treatment with VVP808 for 16 days resulted in a highly significant dose-dependent reduction in fasting blood glucose levels relative to vehicle treated animals (p= 0.01-0.001). In conclusion, our data showed that VVP808 acts in a dose-dependent manner to reduce fasting blood glucose levels and improve glucose tolerance. These data suggest that VVP808 is an interesting new agent with potential for development as a novel therapeutic for type 2 diabetes.

Imagining future selves

This thesis reports how a vision of an ideal self as a speaker of English in the imagined global community where English is being used as lingua franca (ELF) by a vastly growing number of non-native English speakers (NNESs) for a wider communication alongside their L1, positively influences Taiwanese students' engagement in learning English in an exam-dominant context.

Vision-based target tracking and surveillance with robust set-valued state estimation

Tracking a target from a video stream (or a sequence of image frames) involves nonlinear measurements in Cartesian coordinates. However, the target dynamics, modeled in Cartesian coordinates, result in a linear system. We present a robust linear filter based on an analytical nonlinear to linear measurement conversion algorithm. Using ideas from robust control theory, a rigorous theoretical analysis is given which guarantees that the state estimation error for the filter is bounded, i.e., a measure against filter divergence is obtained. In fact, an ellipsoidal set-valued estimate is obtained which is guaranteed to contain the true target location with an arbitrarily high probability. The algorithm is particularly suited to visual surveillance and tracking applications involving targets moving on a plane.

Positive conditions for success

This paper reflects material presented by the authors of this article1 at a workshop presented at the Cambridge International Symposium on Economic Crime at Jesus College Cambridge between September 5 and 12, 2010. The impetus for this topic came from Neil Jensen, who had completed a significant body of research on compliance by FATF and non-FATF members with the 40 recommendations and the nine special recommendations.

A gene expression signature for insulin resistance

Insulin resistance is a heterogeneous disorder caused by a range of genetic and environmental factors, and we hypothesize that its aetiology varies considerably between individuals. This heterogeneity provides significant challenges to the development of effective therapeutic regimes for long-term management of type 2 diabetes. We describe a novel strategy, using large-scale gene expression profiling, to develop a Gene Expression Signature (GES) that reflects the overall state of insulin resistance in cells and patients. The GES was developed from 3T3-L1 adipocytes that were made ‘insulin resistant’ by treatment with tumour necrosis factor-alpha (TNFα) and then reversed with aspirin and troglitazone (‘re-sensitized’). The GES consisted of five genes whose expression levels best discriminated between the insulin resistant and insulin re-sensitized states. We then used this GES to screen a compound library for agents that affected the GES genes in 3T3- L1 adipocytes in a way that most closely resembled the changes seen when insulin resistance was successfully reversed using aspirin and troglitazone. This screen identified both known and new insulin sensitizing compounds including non-steroidal anti inflammatory agents, β-adrenergic antagonists, beta-lactams and sodium channel blockers. We tested the biological relevance of this GES in participants in the San Antonio Family Heart Study (n = 1,240) and showed that patients with the lowest GES scores were more insulin resistant (according to HOMA_IR and fasting plasma insulin levels, P < 0.001). These findings show that GES technology can be used for both the discovery of insulin sensitizing compounds and the characterization of patients into subtypes of insulin resistance according to GES scores, opening the possibility of developing a personalized medicine approach to type 2 diabetes.

Robust learning of discriminative projection for multicategory classification on the Stiefel manifold

Learning a robust projection with a small number of training samples is still a challenging problem in face recognition, especially when the unseen faces have extreme variation in pose, illumination, and facial expression. To address this problem, we propose a framework formulated under statistical learning theory that facilitates robust learning of a discriminative projection. Dimensionality reduction using the projection matrix is combined with a linear classifier in the regularized framework of lasso regression. The projection matrix in conjunction with the classifier parameters are then found by solving an optimization problem over the Stiefel manifold. The experimental results on standard face databases suggest that the proposed method outperforms some recent regularized techniques when the number of training samples is small.

Boosting performance for 2D linear discriminant analysis via regression

Two Dimensional Linear Discriminant Analysis (2DLDA) has received much interest in recent years. However, 2DLDA could make pairwise distances between any two classes become significantly unbalanced, which may affect its performance. Moreover 2DLDA could also suffer from the small sample size problem. Based on these observations, we propose two novel algorithms called Regularized 2DLDA and Ridge Regression for 2DLDA (RR-2DLDA). Regularized 2DLDA is an extension of 2DLDA with the introduction of a regularization parameter to deal with the small sample size problem. RR-2DLDA integrates ridge regression into Regularized 2DLDA to balance the distances among different classes after the transformation. These proposed algorithms overcome the limitations of 2DLDA and boost recognition accuracy. The experimental results on the Yale, PIE and FERET databases showed that RR-2DLDA is superior not only to 2DLDA but also other state-of-the-art algorithms.