Ethanol production from mahula (Madhuca latifolia L.) flowers with immobilized cells of Saccharomyces cerevisiae in Luffa cylindrica L. sponge discs

The dried spongy fruit of luffa (Luffa cylindrica L.), a cucurbitaceous crop available in abundance in tropical and sub-tropical countries has been found to be a promising material for immobilizing microbial cells. The aim of the present study was to examine the ethanol production from mahula flowers in submerged fermentation using whole cells of Saccharomyces cerevisiae immobilized in luffa sponge discs. The cells not only survived but also were physiologically active in three more cycles of fermentation without significant reduction (<5%) in ethanol production. After 96 h, there was 91.1% sugar conversion producing 223.2 g ethanol/kg flowers (1st cycle) which was 0.99%, 2.3% and 3.2% more than 2nd (221 g ethanol/kg flowers), 3rd (218 g ethanol/kg flowers) and 4th (216 g ethanol/kg flowers) cycle of fermentation, respectively. Furthermore, ethanol production by immobilized cells was 8.96% higher than the free cells.     

Experimental investigations on a hydrogen diesel homogeneous charge compression ignition engine with exhaust gas recirculation

In this experimental study, hydrogen was inducted along with air and diesel was injected into the cylinder using a high pressure common rail system, in a single cylinder homogeneous charge compression ignition engine. An electronic controller was used to set the required injection timing of diesel for best thermal efficiency. The influences of hydrogen to diesel energy ratio, output of the engine and exhaust gas recirculation (EGR) on performance, emissions and combustion were studied in detail. An increase in the amount of hydrogen improved the thermal efficiency by retarding the combustion process. It also lowered the exhaust emissions. Large amounts of hydrogen and EGR were needed at high outputs for suppressing knock. The range of operation was brake mean effective pressures of 2–4 bar. The levels of HC and CO emitted were not significantly influenced by the amount of hydrogen that was used.     

Study on the performance deterioration of mixed flow impeller due to change in tip clearance

Performance of mixed flow compressor with un-shrouded impeller strongly depends upon unsteady, asymmetrical flow fields in the axial directions. The flow through the mixed flow impeller is complex due to three-dimensional nature of geometry. In mixed flow impeller, there are clearances between the rotating impeller blades and the casing as the high pressure ratio compressors are usually open shrouded impellers. As a result, certain amount of reduction in the performance is unavoidable due to clearance flows. In the present investigations, numerical analysis is performed using a commercial code to investigate tip clearance effects on through flow. The perform- ance of mixed flow impeller with four different clearances between impeller and stationary shroud are evaluated and compared with experimental results. The impeller performance map was obtained for different operating speeds and mass flow rates with different tip clearances. The result shows that the tip leakage flow strongly inter- acts with mainstream and contributes to total pressure loss and performance reduction. The pressure and per- formance decrement are approximately linearly proportional to the gap between impeller and stationary shroud. The analysis showed scope for improvement in design of the compressor for better performance in terms of effi- ciency and operating range.     

Chitosan glucose complex – A novel food preservative

Chitosan glucose complex (CGC), a modified form of chitosan was prepared by heating chitosan with glucose. Fluorescence and the browning reaction of CGC indicated the presence of the Maillard reaction product (MRP). CGC showed excellent antioxidant activity while chitosan or glucose alone did not have any significant activity (p < 0.05). The IC₅₀ value of CGC for DPPH radical scavenging was 51.1 μg/ml. The efficacy of CGC in scavenging hydroxyl and superoxide anion radicals was also very high but it showed a low reducing power. The antimicrobial activity of CGC was similar to chitosan against E. coli, Pseudomonas, Staphylococcus aureus and Bacillus cereus, the common food spoilage and pathogenic bacteria. The minimum inhibitory concentration of CGC or chitosan was 0.05%. Addition of CGC to lamb meat increased its shelf life by more than 2 weeks during chilled storage. It also enhanced the shelf life of pork cocktail salami to 28 days. CGC is endowed with both antioxidant and antimicrobial activity and thus is a promising novel preservative for various food formulations.     

Preparation and characterization of a protein hydrolysate from an oilseed flour mixture

A novel protein hydrolysate was prepared from the mixture of oilseed flours (soybean, sesame and peanut) and determined physicochemical & functional properties along with comparison of individual oilseed flour hydrolysate of soybean. Mixed flour obtained from oilseed flours viz. soybean, sesame and peanut by using calculated amounts in the ratio of 1.1:1.7:0.7, respectively was used as a starting raw material having balanced amino acid profile. Protein hydrolysates were prepared from mixed flour and soybean flour by a double enzyme treatment method to a level of 40% degree of hydrolysis. The dried protein hydrolysate prepared from the mixed flour had 72% crude protein. This protein was characterized by gel filtration chromatography and SDS-PAGE. Comparison of the amino acid profile of the protein hydrolysate from mixed flours and soyabean flours showed a significant increase in the former one with respect to amino acid contents usually deficient of single oilseed flour hydrolysate. The product is creamish yellow in colour and had a solubility of >90% over a wide pH range of 2–10. The mixed flour protein hydrolysate showed better functional attributes such as foaming, as compared to that from soybean flour alone.     

Optimal Operation of Reservoir Systems using Simulated Annealing

A stochastic search technique, simulated annealing (SA), is used to optimize the operation of multiple reservoirs. Seminal application of annealing technique in general to multi-period, multiple-reservoir systems, along with problem representation and selection of different parameter values used in the annealing algorithm for specific cases is discussed. The search technique is improved with the help of heuristic rules, problem-specific information and concepts from the field of evolutionary algorithms. The technique is tested for application to a benchmark problem of four-reservoir system previously solved using a linear programming formulation and its ability to replicate the global optimum solution is examined. The technique is also applied to a system of four hydropower generating reservoirs in Manitoba, Canada, to derive optimal operating rules. A limited version of this problem is solved using a mixed integer nonlinear programming and results are compared with those obtained using SA. A better objective function value is obtained using simulated annealing than the value from a mixed integer non-linear programming model developed for the same problem. Results obtained from these applications suggest that simulated annealing can be used for obtaining near-optimal solutions for multi-period reservoir operation problems that are computationally intractable.     

Optimal Selection of Predictor Variables in Statistical Downscaling Models of Precipitation

Two screening methods aimed at selection of predictor variables for use in a statistical downscaling (SD) model developed for precipitation are proposed and evaluated in this study. The SD model developed in this study relies heavily on appropriate predictors chosen and accurate relationships between site-specific predictand (i.e. precipitation) and general circulation model (GCM)-scale predictors for providing future projections at different spatial and temporal scales. Methods to characterize these relationships via rigid and flexible functional forms of relationships using mixed integer nonlinear programming (MINLP) formulation with binary variables, and artificial neural network (ANN) methods respectively are developed and evaluated in this study. The proposed methods and three additional methods based on the correlations between predictors and predictand, stepwise regression (SWR) and principal component analysis (PCA) are evaluated in this study. The screening methods are evaluated by employing them in conjunction with an SD model at 22 rain gauge locations in south Florida, USA. The predictor variables that are selected by different predictor selection methods are used in a statistical downscaling model developed in this study to downscale precipitation at a monthly temporal scale. Results suggest that optimal selection of variables using MINLP and ANN provided improved performance and error measures compared to two other models that did not use these methods for screening the variables. Results from application and evaluations of screening methods indicate improved downscaling of precipitation is possible by SD models when an optimal set of predictors are used and the selection of the predictors is site-specific.     

Ionic conduction in poly(vinyl chloride)/poly(ethyl methacrylate)-based polymer blend electrolytes complexed with different lithium salts

Poly(vinyl chloride)/poly(ethyl methacrylate)-based polymer blend electrolytes comprising propylene carbonate as a plasticizer and a lithium salt LiX (X = BF₄⁻, ClO₄⁻, CF₃SO₃⁻) are prepared by a solvent casting technique. The electrolytes are subjected to characterization by ionic conductivity, X-ray diffraction, Fourier transform infrared spectroscopy and thermogravimetic/differential thermal analysis. The electrolytes that contain LiBF₄ exhibit maximum conductivity and are thermally stable up to 254 °C.     

RESRES: The story behind the paper “Research in software engineering: An analysis of the literature”

This article is a background report describing a comprehensive study of research in the three computing disciplines Computer Science, Software Engineering, and Information Systems. Findings relate to research topics, approaches, methods, reference disciplines, and levels of analysis. The article informally describes the process used and the research products produced.