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AbstractGraph burning is a model for spread of information in a network. In recent times social networks play a major role in the thought process of people and influences the social movements, election and politics. The burning number is an ideal model to calculate the speed at which information is passed throughout the network. The burning number is a number which burns a graph in minimum number of steps. In this paper, a hybrid algorithm is proposed to compute the burning number of network graph based on selection of activators. The algorithm uses spanning tree, weighted centrality and uses a vertex set that are edge connected with previously burnt set. The network graph used were ca-sandiauths, ca-netscience, dolphin and mahindas. A significant improvement was found in the process of finding minimum burning number of the graph.

Introduction: Dengue is one of the most prevalent mosquitoborne arboviral infection in India. Seventy percent of the 96 million apparent infections occur in Asia, in which India is making upto one third of the total. Despite considerable efforts to control the mosquito populations, dengue fever has emerged, spread and established itself rapidly. The most serious manifestations of the infection are Dengue Hemorrhagic Fever (DHF) and Dengue Shock Syndrome (DSS). Objectives: Evaluation of thrombocytopenia in dengue infection along with seasonal variation. Material and Methods: The present study was conducted retrospectively for a period of two years in Melmaruvathur from January 2011 to December 2012. Blood samples were collected from 1,464 patients experiencing febrile illness, clinically consistent with dengue infection. Serological confirmation of dengue infection and evaluation of platelet counts was done in all the serologically positive cases. Results: A total of 1,464 fever cases were admitted during the study period and among them, 107 (7.3%) were found to be seropositive for dengue. A majority, 41 (38.3%) of the dengue cases was noted in the age group of 15-30 years, followed by less than 15 years of age and the mean age of the seropositive cases was 29.78 ± 15.3 years. Among the dengue cases, 62.6% were males and 37.4 % were females. A statistically significant association (p

Due to increase in pollution and greenhouse gas emissions from Internal Combustion Engines (ICEs), researchers and governments are looking forward for pollution-free, eco-friendly and efficient vehicle called Electric Vehicles (EVs), which is a best alternative for fossil fuel-based transportation systems. Limited battery capacity and frequent charging are essential for EVs. There are unscheduled EVs existed owing to the scarcity of energy and charging plugs. This research designs a multi aggregator-based charge scheduling strategy in Internet of Electric Vehicles (IoEVs) using proposed Fractional African Vulture Sail Fish Optimization (FrAVSO) algorithm. The FrAVSO is obtained by integrating Fractional Calculus (FC) with African Vulture Optimization (AVO) and Sail Fish Optimization (SFO). The energy is predicted utilizing Deep Maxout Network (DMN) and path selection is accomplished utilizing Fractional African Vulture Optimization (FrAVO). The FrAVSO achieved minimum distance of 15.313 Km, maximum energy of 0.252 J, minimum waiting time of 2.546 sec, and maximum profit of 94.978%. [ABSTRACT FROM AUTHOR]

The 2-(2-Chlorophenyl)benzimidazole (CPBZ) vibrational assignments were performed using FT-IR and FT-Raman spectroscopy. The ideal geometrical parameters, IR intensity, and Raman activity of the vibrational bands of CPBZ were determined using the B3LYP functional and 6-311++G(d,p) level of theory, and the findings are compared with experimental findings. To comprehend the charge distribution within the molecule, the Mulliken charges, HOMO-LUMO energies, and molecular electrostatic potential (MEP) are computed. The molecular orbital contributions were evaluated using the total density of states (TDOS). To assess the electronic charge on each atom and the bond order between a pair of atoms, studies on the natural bond orbital (NBO) and the Fukui function were all examined. The 1H and 13C NMR chemical shifts were calculated using gauge-independent atomic orbital (GIAO). The structure and bioactivity of the molecule were validated by the docking research of CPBZ with the breast cancer inhibitors 1A28, 1ERE, 1AQU, and 1M17. The molecule's drug applicability has been determined by using ADMET prediction. Additional research has been done on the molecule's cytotoxicity and antibacterial properties. Ultimately, it appears that CPBZ has promise as a pharmacological option for treating breast cancer. [ABSTRACT FROM AUTHOR]