Sustainable food security decision-making : an agent-based modelling approach.

Ensuring a consistent and regular availability of food is crucial for food security. Food markets, supplied through both domestic production and international trade, are governed by several risks emerging from unpredictable supply chain disruptions, volatility of commodity prices, along with other unforeseen circumstances such as natural disasters. To mitigate the challenges threatening the stability of food systems, decision-making within the food sector should be enhanced and robust to accommodate any changes that might cause food shortages. Dynamic models, that can predict the behavior of food systems in order to avoid potential future knock-on effects and deficits, are incumbent to ensure the sustainable performance of food systems. This study proposes a dynamic decision-making scheme that simulates strategies of the perishable food market under different circumstances. An agent-based model (ABM) is developed and implemented using python MESA library for a case study in Qatar, illustrating the potential performance of tomato under three different scenarios to be considered, namely: (a) baseline scenario - aiming to reflect current production and market conditions; (b) water resource efficiency scenario - basing decisions on crop water requirement (CWR) depending on weather conditions; and (c) economic risk scenario - applying the concept of forward contracts to hedge against future uncertainties in crop prices. The findings of this study demonstrate that under the baseline conditions, a tomato crop can be supplied through a combination of domestic production and imports depending on the available inventories and prices imposed by exporters. The results obtained for the CWR scenario suggest the need for total reliance on imports in order to meet domestic demand, as there is potentially high-water loss, which amounts to an average of 4.9 Billion m3 per year, if tomato is grown locally. In contrast, the results from the forward contract scenario recommend a 57% dependency on local production in order to mitigate the effects of volatility in global food prices, which contributes to a 63% reduction in environmental emissions. Findings of this research provide insight into the factors that influence strategic decision making by the food sector to enhance its economic and environmental performances under diverse circumstances

A Sales force automation [SFA] solution for a complexly diversified organization

Nowadays, there is a massive number of business are competing in the industry to achieve their business goals and earn high profits. Furthermore, many large organizations consist of complexly diversified sales based businesses across the globe. Many businesses are depending on each other, and some are running independently. In the software industry, most of IT software solutions are developing based on requirements analysis and considering the individual behaviors of the business. For a Sales Force Automation System (SFA) this becomes a large scaled problem when implementing a system from one business to another business. Diversities of the businesses, less adoption and software bugs may occur when implementing one SFA system to another business. In this thesis, identify the problems of the existing sales force automation system’s implementations among multiple businesses and deliver a proper dynamic flow-based software solution (implementation) with rectifying those problems

RAPD markers to evaluate callus tissue of Cereus peruvianus Mill. (Cactaceae) maintained in different growth regulator combinations

RAPD markers were used to detect DNA polymorphisms in callus tissues maintained at different auxin and cytokinin combinations. There is a higher level of genetic variablity in callus tissue maintained with the highest kinetin versus 2,4-D concentration. Callus tissues subcultured in a 4.0 mg/L 2,4-D and 4.0 mg/L kinetin combination showed high similarity and can be recommended as more suitable sources for industrial procedures of extraction of natural products such as secondary metabolites since extraction protocols can be easily standardized using genetically uniform materials. The higher genetic diversity in callus tissues of C. peruvianus cultured at 4.0 mg/L 2,4-D and 8.0 mg/L kinetin indicates this tissue as a matrix for in vitro selection of cell lines for higher natural products production. RAPD markers are, therefore, effective tools useful for detecting DNA polymorphism in callus tissue as well as in the DNA identification of callus tissues maintained in different auxin and cytokinin combinations.404192135135

Two-dimensional electrophoresis of Cereus peruvianus (Cactaceae) callus tissue proteins

Two-dimensional electrophoresis of Cereus peruvianus callus tissues grown in culture media containing two different 2,4-dichlorophenoxyacetic acid (2,4-D) and kinetin combinations was used to identify minor differences in polypeptide composition of these cell clones. Altered expression during growth in the two 2,4-D and kinetin combinations was apparent for 13 polypeptides when calluses in the two media were compared. The number of proteins with differential expression (presence or absence of specific spots) was higher in callus tissues cultured in the 4.0 mg/L 2,4-D and 8.0 mg/L kinetin combination than in callus tissues cultured in the 4.0 mg/L 2,4-D and 4.0 mg/L kinetin combination. The present results show that the callus tissues maintained at 4.0 mg/L 2,4-D and 8.0 mg/L kinetin can be used as a matrix for in vitro selection programs.20362662