INCIDENCES OF STAPHYLOCOCCUS SPECIES IN SURGICAL SITE INFECTIONS-PROSPECTIVE STUDY FROM TERTIARY CARE CENTER, COIMBATORE, TAMILNADU

Objective: Surgical site infection (SSIs) is of great importance to regulatory agencies and public because of their clinical implication and occurrence. Human skin is populated with normal bacterial flora, which also gains access during immunocompromised state causing infection. This present study focuses on surveillance of SSIs with emphases over Staphylococcus species infection among patients from tertiary care centers of Coimbatore, TamilNadu, India.Methods: Clinical samples were collected and plated on mannitol salt agar (MSA) medium for isolation of Staphylococcus species. Furthermore, other conventional methods like Gram staining, catalase reaction were also performed in strict aseptic conditions with standard microbiological procedures for sample processing.Results: A total of 221 samples were collected and processed which resulted in 42.08% positivity with 59.13% Gram positive strains. Staphylococcus species were more prevalent in the Gram positive isolates, where other Gram negative microorganisms such as E. coli, P. aeruginosa, K. pneumoniae, M. morganii, E. faecalis, Enterobacter species, A. baumanii, S. marcescens and P. mirabilis were also isolated. The antibiogram pattern of the Staphylococcus species revealed resistance to antibiotics.Conclusion: This study has shown the prevalence of Staphylococcus species among SSIs, implicating the importance of further extended surveillance for better understanding of the prevalence rate and antimicrobial resistance pattern.Â

Path based load balancing for data center networks using SDN

Due to the increase in the number of users on the internet and the number of applications that is available in the cloud makes Data Center Networking (DCN) has the backbone for computing. These data centre requires high operational cost and also experience the link failures and congestions often. Hence the solution is to use Software Defined Networking (SDN) based load balancer which improves the efficiency of the network by distributing the traffic across multiple paths to optimize the efficiency of the network. Traditional load balancers are very expensive and inflexible. These SDN load balancers do not require costly hardware and can be programmed, which it makes it easier to implement user-defined algorithms and load balancing strategies. In this paper, we have proposed an efficient load balancing technique by considering different parameters to maintain the load efficiently using Open FlowSwitches connected to ONOS controller

Optimal packet routing for wireless body area network using software defined network to handle medical emergency

The packet forwarding node selection is one of the main constraints in the Software Defined Network (SDN). To improve the network performance, the SDN controller has to choose the shortest and optimised path between source and destination in routine and emergency packet transmission. In e-health service, information of the emergency patient has to be transferred immediately to remote hospitals or doctors by using efficient packet routing approach in Wireless Body Area Network (WBAN). In WBAN, to improve the packet transmission, the optimal packet routing policy developed based on packets priority with the support of a greedy algorithm for SDN. The SDN Controller selects the forwarding node based on node propagation delay and available bandwidth between two forwarding nodes. The mesh network topology network created for implementation, implementation results are compared with existing research works. Finally, this algorithm implemented in our institution, Software defined communication testbed laboratory (SDCTestbed Lab) with the support of 13 Zodiac-Fx (Forwarding device), 2 Raspberry-Pi3 B+ Model (host) and Arduino kit (sensor node)

ECOSENSE: An Energy Consumption Protocol for Wireless Sensor Networks

AbstractThis paper ‘ECOSENSE’ proposes a medium access protocol derived for wireless sensor networks. Energy is a precious resource for wireless sensor networks, as sensor nodes are powered by small batteries. Various approaches have been proposed so far, to increase the life of wireless sensor networks. With the goal of developing a practical, efficient energy consumption protocol for wireless sensor networks, we introduced a threshold policy for the nodes in the entire network, where the sensors are distributed activated, whenever they are required. We calculated the life period of sensors and using priority levels and threshold values, we prolong the lifespan of sensor nodes. Scheduling is done according to the remaining life period of sensor nodes. We compare our algorithm with the existing S-MAC protocol and found considerably better due to its reconfigurable activation policy

Phytotherapeutic control of food borne pathogens by Jasminum sambac L. flowers

Objective: This study is aimed to determine the antibacterial effect of Jasminum sambac against foodborne pathogens.Methods: Antibacterial activity of methanol and chloroform extract of J. sambac flowers against foodborne pathogens (Bacillus cereus, Listeria monocytogenes, Shigella flexeneri, Salmonella serovar enterica Typhi, Staphylococcus aureus and Escherichia coli) were performed using disc diffusion method and their minimal inhibitory concentration (MIC) was also determined. The preliminary phytochemical screening and gas chromatography-mass spectroscopic (GC-MS) analysis of methanol and chloroform extract of J. sambac was analyzed using GC Clarus 500 Perkin Elmer System and gas chromatograph interfaced with a mass spectrometer.Results: Phytochemical and GC-MS studies revealed the presence of bioactive compounds and found to possess antibacterial activity against foodborne pathogens.Conclusion: The present study supports the possible use of these phytotherapeutic agents in the clinical management of foodborne diseases.Keywords: GC-MS analysis, Foodborne pathogens, Jasminum sambac L., Antibacterial activit

Human Cognition and Emotion using Physio Psychological Approach : A Survey

A soldier’s responsibility in the military includes his physical and mental attitudes which makes him to support the army in a full-fledged manner. This type of human dimension recognizes Soldier readiness from training proficiency to motivation for the Army’s future success. It introduces the concept of holistic fitness, a comprehensive combination of the whole person, including all components of the human dimension as a triad of moral, cognitive and physical components. The human dimension concept is directly related to the human mind and memory system. In this research, a system which will be capable of recognizing human emotions based on physiological parameters of a human body is discussed. The data from the system is fed to a computer where it is stored. Stored information regarding human parameters is retrieved and classified using support vector machine to generate a data set about the various emotions the human poses at a specific situation. The emotion, thus calculated is grouped to generate a grade for his present status. This grade is used to recommend the suitable working environment for the person

Length–weight relationship of the endemic velvet leatherjacket, Lalmohania velutina (Hutchins, 1994) inhabiting Gulf of Mannar waters (southeast coast of India)

1097-1098Length–weight relationship (LWR) of an endemic fish, velvet leatherjacket, Lalmohania velutina (Hutchins, 1994) inhabiting Gulf of Mannar (GoM), southeast coast of India was determined during the present study. A total of 131 individuals (male n = 84; females n = 47) were collected from bycatch of shore seines in GoM and used for establishing LWR of this endemic species. The calculated value for parameter 'b' of LWRs were 2.5189, 2.6174 and 2.5614 for male, female and for total individuals (pooled), respectively. Maximum total length (TL) recorded for a female individual (TLmax = 13.4 cm) is the new report of maximum TL in L. velutina. The present study is the first reference on the length-weight relationship and the new maximum length recorded for L. velutina

Application of MSVPC- 5G Multicast SDN Network Eminence Video Transmission in Drone Thermal Imaging for Solar Farm Monitoring

This is the final version. Available on open access from MDPI via the DOI in this recordThe impact of multimedia in day-to-day life and its applications will be increased greatly with the proposed model (MSVPC)–5G Multicast SDN network eminence video transmission obtained using PSO and cross layer progress in wireless nodes. The drone inspection and analysis in a solar farm requires a very high number of transmissions of various videos, data, animations, along with all sets of audio, text and visuals. Thus, it is necessary to regulate the transmissions of various videos due to a huge amount of bandwidth requirement for videos. A software-defined network (SDN) enables forwarder selection through particle swarm optimization (PSO) mode for streaming video packets through multicast routing transmissions. Transmission delay and packet errors are the main factors in selecting a forwarder. The nodes that transfer the videos with the shortest delay and the lowest errors have been calculated and sent to the destination through the forwarder. This method involves streaming to be increased with the highest throughput and less delay. Here, the achieved throughput is shown as 0.0699412 bits per second for 160 s of simulation time. Also, the achieved packet delivery ratio is 81.9005 percentage for 150 nodes on the network. All these metrics can be changed according to the network design and can have new results. Thus, the application of MSVPC- 5G Multicast SDN Network Eminence Video Transmission in drone thermal imaging helps in monitoring solar farms more effectively, and may lead to the development of certain algorithms in prescriptive analytics which recommends the best practices for solar farm development.Engineering and Physical Sciences Research Council (EPSRC

Physicochemical Characteristics, Identification of Fungi and Optimization of Different Parameters for Degradation of Dye from Tannery Effluent

This study was carried out to find out the qualities of tannery effluents with the assessment of physicochemical parameters of effluent, isolation, and identification of fungi and their optimization of different parameters on dye decolorization. In the present study, various physicochemical parameters such as Color, Odor, pH, EC, TSS, TDS, BOD, COD, Chromium, Copper, Chloride, and Sodium of untreated tannery effluent was studied. The results of the parameters showed that the effluent was blackish with a disagreeable odor, alkaline in pH with a high organic and inorganic loads such as EC, TDS, BOD, COD, TSS, Chromium, Copper, Chloride and Sodium. The physicochemical parameters were determined as per the standards prescribed by CPCB. Four fungal species were isolated and identified by LPCB staining namely Aspergillus niger , Aspergillus flavus , Penicillium citrinum , and Curvularia lunata . To test the activity of these fungi on different dyes, experiments were carried out for the optimization of different parameters. The maximum decolorization of dye was achieved by Aspergillus niger. From this study, it was found that the maximum biotransformation of dye effluent can help to solve the pollution problem