Insulin sensitivity, insulin action, and fibrinolysis activity in nondiabetic and diabetic obese subjects

Because inconsistencies occur with regard to the relative contribution of insulin to the hypofibrinolysis characteristic of obesity and diabetes, we explored the relationship between insulin and fibrinolysis, assessing both insulin sensitivity and insulin action. Seventeen markedly obese subjects (body mass index [BMI], 34.0+/-1.6 kg/m2; 12 nondiabetic and five diabetic) were studied using the three-step euglycemic-hyperinsulinemic clamp technique. Since the circadian rhythm of the fibrinolytic system may obscure a true effect of insulin, variations in fibrinolysis parameters observed during the glucose clamp were compared with those occurring spontaneously because of the circadian rhythm. Compared with six normal-weight subjects (BMI, 21.0+/-0.9 kg/m2), all obese subjects exhibited basal hyperinsulinism (fasting plasma insulin, 16.0+/-1.4 v 9.8+/-1.3 microU/microL, P < .001; fasting plasma C-peptide, 1.4+/-0.2 v 0.5+/-0.2 ng/mL, P < .001), hypofibrinolysis (euglobulin lysis time [ELT], 378+/-29 v 222+/-31 minutes, P=.01; tissue plasminogen activator [tPA] antigen, 7.8+/-0.9 v 4.2+/-0.5 ng/mL, P=.04; plasminogen activator inhibitor type 1 [PAI-1] activity, 22.2+/-2.5 v3.9+/-0.6 AU/mL, P=.004), and marked insulin resistance (M value, ie, the maximal glucose disposal rate, 9.1+/-0.6 v 18.6+/-0.8 mg/(kg x min), P < .001). The M value correlated inversely with tPA antigen (r=-.46, P=.05). During insulin infusion, values for fibrinolysis parameters decreased, but were not different compared with variations due to the circadian rhythm. In conclusion, our findings together with previously reported data reinforce the idea that chronic hyperinsulinism is linked to hypofibrinolysis, but insulin does not seem to acutely regulate the fibrinolysis system.     

Fusion of thermal infrared and visible spectra for robust moving object detection

The detection of moving objects is a crucial step for many video surveillance applications whether using a visible camera (VIS) or an infrared (IR) one. In order to profit from both types, several fusion methods were proposed in the literature: low-level fusion, medium-level fusion and high-level fusion. The first one is the most used for moving objects’ detection in IR and VIS spectra. In this paper, we present an overview of the different moving object detection methods in IR and VIS spectra and a state of the art of the low-level fusion techniques. Moreover, we propose a new method for moving object detection using low-level fusion of IR and VIS spectra. In order to evaluate quantitatively and qualitatively our proposed method, three series of experiments were carried out using two well-known datasets namely “OSU Color-Thermal Database” and “INO-Database”; the results of these evaluations show promising results and demonstrate the effectiveness of the proposed method.     

Face Recognition Through Different Facial Expressions

Face recognition has become an accessible issue for experts as well as ordinary people as it is a focal non-interfering biometric modality. In this paper, we introduced a new approach to perform face recognition under varying facial expressions. The proposed approach consists of two main steps: facial expression recognition and face recognition. They are two complementary steps to improve face recognition across facial expression variation. In the first step, we selected the most expressive regions responsible for facial expression appearance using the Mutual Information technique. Such a process helps not only improve the facial expression classification accuracy but also reduce the features vector size. In the second step, we used the Principal Component Analysis (PCA) to build EigenFaces for each facial expression class. Then, a face recognition is performed by projecting the face onto the corresponding facial expression Eigenfaces. The PCA technique significantly reduces the dimensionality of the original space since the face recognition is carried out in the reduced Eigenfaces space. An experimental study was conducted to evaluate the performance of the proposed approach in terms of face recognition accuracy and spatial-temporal complexity.

     

Production of a halotolerant lipase from Halomonas sp. strain C2SS100: Optimization by response-surface methodology and application in detergent formulations

The aim of this work was to optimize the production of a new lipase by a halotolerant bacterial strain Halomonas sp. C2SS100, by means of the response-surface methodology (RSM). The process parameters having the most significant effect on lipase production were identified using the Plackett–Burman screening design-of-experiments. Then, Box–Behnken design was applied to optimize lipase activity and the quadratic regression model of the lipase production was built. Indeed, the lipase yield was increased, and the value obtained experimentally (39 ± 2 U/ml) was very close to the rate predicted by the model (40.3 U/ml). Likewise, optimization of parameters by RSM resulted in 2.78-fold increase in lipase activity. These findings provide the first report on lipase production and optimization by a halotolerant bacterial strain belonging to Halomonas genus. Afterward, the biochemical properties of the produced lipase were studied for apply in oil stains removal. The crude lipase showed a maximum activity at 60°C and at pH ranging from 7 to 10. It displayed an important stability at high temperature, pH, and NaCl. Interestingly, this bacterial lipase exhibited a prominent stability toward some commercial solid and liquid detergents after 30 min of incubation at 50°C. The capability of the crude lipase to eliminate stain was ascertained on polycotton fabric pieces stained with lubricating oil. Whether with the addition of hot water alone or of a commercially available detergent, lipase is able to considerably boost the elimination of oil stains. The actual findings highlight the capacity of Halomonas sp. lipase for energy-efficient biocatalytic application.     

Characterization of liver oils from three species of sharks collected in Tunisian coasts: In vitro digestibility by pancreatic lipase

The increase in world fish lipid request has made necessary the search for new fish species rich in polyunsaturated fatty acid (PUFA) that could be used as raw material for oil production. In this study, liver oils from the deep‐sea sharks Mustelus mustelus, Squalus acanthias, and Rhinobatos cemiculus were extracted and analyzed to describe their lipids characteristics. Lipid contents of shark livers ranged from 64.245 to 69.57%. Among minerals, potassium and sodium were the most abundant while unsaturated fatty acids (FAs) were dominant exceeding 55% of the total FAs. Omega‐3 PUFA (ω‐3 PUFA) profiles exhibited a dominance of eicosapentaenoic acid and docosahexaenoic acid. This study suggests that shark livers, actually considered as waste, may be an attractive source of ω‐3 PUFAs and a good source of carotenoids and phenolic compounds.

Practical applications

The production of EPA and DHA concentrates from residual sources of marine oils has unexplored potential of use in food industry and oil‐based nutraceutical production for obtaining health benefits can be achieved. The economic activities of fish residues can reduce inappropriate excessive fishing, reducing imports of fish oils while contributing to the ecosystem balance.     

Gait-based person re-identification under covariate factors

Pattern Analysis and Applications - Gait is recognized as an effective behavioral biometric trait. Gait pattern information can be captured and perceived from a distance thanks to its noninvasive...