Nowadays, the penetration of wind and solar sources is relatively high in Micro Grid. Wind speed and solar radiation forecasting hardly gives an exact value and leads to the values in intervals. Therefore forecasted output powers of these sources are also in the intervals. The constraint on power balance in Micro Grid has the right-hand-side uncertainty, in the interval. So for Micro-Grid in grid connection mode, the presence of the distributed generations based on wind and solar energy sources makes optimal dispatching problems of distributed generations become an uncertainty problem. The optimal solutions for the lower and upper ends of this interval are the best and the worst optimal solution. This paper proposes to treat the above problem as the optimal problem with two objectives: reach the best and the worst solution. The principle of fuzzy set and the Particle Swarm Optimization algorithm will be applied for solving the multi-objective problem. The final optimal value will belong to an interval. Meanwhile, the output power of the swing generator varies to respond to the uncertainty of wind and solar source power. An example of a low-voltage MG with three distributed generators is considered with two cases: connecting to the utility grid via the circuit breaker and via power controller.

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Acute Coronary Syndrome (ACS) is one of the foremost causes of mortality and morbidity worldwide as well as Vietnam. ACS was evoked by rupture or erosion of atherosclerotic plaques that was divided into Non–ST-segment elevation Acute Coronary Syndrome (NSTEACS) and ST-segment elevation myocardial infarction groups (STEMI). The matrix metalloproteinase (MMPs) is an enzyme family with fucntioning in the degradation of extracellular matrix and disruption of basement membranes. Of the MMPs, MMP-9 is expressed in the atherosclerotic plaques and plays a key role in the rupture of vulnerable atherosclerotic plaques. In this work, we measured the serum MMP-9 level in 205 patients with acute coronary syndrome (including 103 of NSTE-ACS and 102 of STEMI patients) and 101 healthy participants by sandwich Elisa method. The results showed that the MMP-9 level was significantly higher in NSTE-ACS and STEMI compared to the control group (208.59 ± 100.47 ng/mL, 189.98 ± 112.81 ng/mL vs 168.50 ± 79.52 ng/mL, respectively, P=0.014). However, a logistic regression analysis indicated that the MMP-9 level was only significantly higher in patients with NSTE ACS (OR= 1.0048, CI 95%= 1.000-1.009; P= 0.018). The serum MMP-9 level is correlated with traditional risk factors such as glucose, Cholesterol and Triglyceride by multiple logistic regression analysis. Conclusion: Our study suggests that the serum MMP-9 level is significantly associated with the NSTEACS and is a potential marker for dianogsis of ACS in the Vietnamese patients

Wasp venoms are complex mixtures of various types of compounds, of which proteins and peptides are major components. Beside its toxicity, wasp venom is potential for treatment of diseases. Characterization of venom proteins and peptides is the first and most important step toward its applications in medicine. Vietnam possesses many valuable materials, of which venoms could be used in medicine. In the present work, we aim to identify proteins and peptides in the venom of Vespa velutina (V. velutina), a species of social wasp indigenous to Southeast Asia including Vietnam using proteomic techniques. The venom isolated from V. velutina by manual extraction was digested with trypsin via the FASP (Filter Aided Sample Preparation) method and analyzed with liquid chromatography tandem - mass spectrometry (LC-MS/MS). The following protein identification, protein validation, and peptide de novo sequencing were carried out using the Peaks software. In total, we detected 36 proteins from V. velutina venom and many of them had been reported as venom-specific proteins. According to Gene Ontology Annotation (GOA), V. velutina venom proteins were functionally classified into five categories: binding proteins (53%), catalytic proteins (33%), structural proteins (8%), antioxidants (4%), and proteins with other functions (2%). In addition, 81 peptides were detected in the venom of V. velutina by de novo sequencing, of which 34 peptides (42%) are potential venom peptides. We introduced for the first time the collection of proteins and peptides from V. velutina venom, providing the basis for its further application in medicine.