Test cases prioritization has been excessively considered for continious regression and integration testing in Internet of Things based systems to apply multilevel testing activities. Various number of devices, sensors and acctuators are connected together through the internet using different technologies, which requires extensively testing the effeciency of these components and the transferred data between them. Due to the number of the connected components has dramatically increased, causing a direct proportional increase in the number of test cases.Studies that handle the augmentation of the number of test cases for traditional systems lack effeciency when applied for Internet of Things based systems. In this paper, we introduce an enhancement for test cases prioritization using Hill Climbing algorithm as a local search based technique, adapted to achieve tangible effeciency. It is integrated with the LSTM deep learning algorithm for test cases classification purposes. The results of the test cases prioritization using Hill Climbing for regression and integration testing are evaluated using precision, where it achieved 80% and 97% for regression testing, and 93% and 88% for integration testing using two Internet of Things-based system datasets.

This study aimed at presenting a proposed model for the integration of social responsibility and green marketing, and its implications on the competitive advantage of applying to the Egyptian industries for the number of (26) companies representing the different sectors of the Egyptian industry divided into the number of (3) companies representing the development sector Al-Aqaria, Number of (4) companies representing the food and beverage sector, number (5) companies representing the construction sector, number (3) companies representing the services sector, industrial products and automobiles, number (2) company representing the tourism sector, number (1) company representing the medical and health care sector, number (4) companies representing Financial services sector other than banks, number (1) company representing the core resources sector, number (1) company representing the chemical sector, number (1) company representing the sector of technological industries, to determine whether those companies are interested in their social responsibility towards the community, as well as to identify the extent of their adoption to mix the

Bacterial conversion of lactose to calcium lactobionate was carried out by twelve strains of bacteria. The strain Bacillus spp. E showed high lactose oxidizing activities, when cultivated at 30˚C for 7 days in a medium ( pH 6) containing (g/100ml): lactose ,5; KH 2 PO 4 ,0.06 ; MgSO 4 .7H 2 O, 0.025; corn steep liquor ,0.75 ml ; 1 drop of soybean oil ; 1.5ml of 20% urea solution and CaCO 3 ,2.5 added during inoculation. The oxidizing activity was the highest where a relatively high lactose conversion (82%) was obtained at a lactose concentration of 50g/l . The activity remained almost stable between pH 5 and 6 and high conversion efficiency ( about 90%) was achieved at pH 0.6.