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Kumkum Gupta,Bhawana Rastogi,Prashant K Gupta,Ivesh Singh,Vijendra Pal Singh,Manish Jain 대한마취통증의학회 2016 Korean Journal of Anesthesiology Vol.69 No.6
Background: Modified radical mastectomy is associated with appreciable blood loss, while endotracheal intubation leads to elevated hemodynamic responses. The present study aimed to evaluate the clinical efficacy of dexmedetomidine infusion as an anesthetic adjuvant to general anesthesia during modified radical mastectomy with I-Gel. Methods: Sixty adult consenting female patients, of American Society of Anesthesiologists physical status 1 to 2 and aged 4,065 years, were blindly randomized into two groups of 30 patients each. The patients in Group I received intravenous dexmedetomidine at a loading dose of 1 μg/kg over 10 min, followed by maintenance infusion of 0.4 to 0.7 μg/kg/h, while patients in Group II were administered an identical amount of saline infusion until 15 min prior to the end of surgery. The primary end point was bleeding at the surgical field and hemodynamic changes; requirement of isoflurane, intraoperative fentanyl consumption and recovery time were assessed as secondary outcomes. Results: The patients receiving dexmedetomidine infusion showed significantly less bleeding at the surgical field (P < 0.05). A statistically significant reduction was also observed in the percentage of isoflurane required (0.82 ± 0.80%) to maintain the systolic blood pressure between 100 and 110 mmHg in patients receiving dexmedetomidine infusion compared with the Group II (1.50 ± 0.90%). The mean intraoperative fentanyl consumption in patients in the Group I was also significantly lower compared with that of the Group II (38.43 ± 5.40 μg vs. 75.12 ± 4.60 μg). The mean recovery time from anesthesia did not show any clinically significant difference between the groups. Conclusions: Dexmedetomidine infusion can be used safely to decrease the bleeding at the surgical field with smooth recovery from anesthesia.
Gupta, Govind P.,Misra, Manoj,Garg, Kumkum Korea Information Processing Society 2015 Journal of information processing systems Vol.11 No.1
The use of mobile agents for collaborative processing in wireless sensor network has gained considerable attention. This is when mobile agents are used for data aggregation to exploit redundant and correlated data. The efficiency of agent-based data aggregation depends on the agent migration scheme. However, in general, most of the proposed schemes are centralized approach-based schemes where the sink node determines the migration paths for the agents before dispatching them in the sensor network. The main limitations with such schemes are that they need global network topology information for deriving the migration paths of the agents, which incurs additional communication overhead, since each node has a very limited communication range. In addition, a centralized approach does not provide fault tolerant and adaptive migration paths. In order to solve such problems, we have proposed a distributed approach-based scheme for determining the migration path of the agents where at each hop, the local information is used to decide the migration of the agents. In addition, we also propose a local repair mechanism for dealing with the faulty nodes. The simulation results show that the proposed scheme performs better than existing schemes in the presence of faulty nodes within the networks, and manages to report the aggregated data to the sink faster.
( Govind P. Gupta ),( Manoj Misra ),( Kumkum Garg ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.1
Wireless sensor networks are generally deployed for specific applications to accomplish certain objectives over a period of time. To fulfill these objectives, it is crucial that the sensor network continues to function for a long time, even if some of its nodes become faulty. Energy efficiency and fault tolerance are undoubtedly the most crucial requirements for the design of an information extraction protocol for any sensor network application. However, most existing software agent based information extraction protocols are incapable of satisfying these requirements because of static agent itineraries and large agent sizes. This paper proposes an Information Extraction protocol based on Multiple software Agents with Dynamic Itineraries (IEMADI), where multiple software agents are dispatched in parallel to perform tasks based on the query assigned to them. IEMADI decides the itinerary for an agent dynamically at each hop using local information. Through mathematical analysis and simulation, we compare the performance of IEMADI with a well known static itinerary based protocol with respect to energy consumption and response time. The results show that IEMADI provides better performance than the static itinerary based protocols.