Cerebral Oxygenation During Anesthesia

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a computational approach to measure availability of networked software system

Due to networked software system's large scale, complex functional interaction and the complexity of the composition of the services, to solve the question of its availability is difficult to predict. The complex systems theory is introduced to the availability prediction method. The concept and availability measurement model of networked software system are defined here, and multi-agent based availability modeling and simulation methods of NSS are proposed in this paper. The networked software system is abstracted as a combination of service agent and connector agent, and a variety of other agents are used to establish the simulation. At last, the proposed approach's affectivity and feasibility are validated through taking advantage of an actual networked software system and the simulation result is analyzed.Due to networked software system's large scale, complex functional interaction and the complexity of the composition of the services, to solve the question of its availability is difficult to predict. The complex systems theory is introduced to the availability prediction method. The concept and availability measurement model of networked software system are defined here, and multi-agent based availability modeling and simulation methods of NSS are proposed in this paper. The networked software system is abstracted as a combination of service agent and connector agent, and a variety of other agents are used to establish the simulation. At last, the proposed approach's affectivity and feasibility are validated through taking advantage of an actual networked software system and the simulation result is analyzed

a study on airborne software safety requirements elicitation based on failure-cause-base aided sfmea

In this paper a method for eliciting airborne software safety requirements (SSRs) is presented. Software FMEA (SFMEA) is applied to derive SSRs so as to improve airborne software safety. SFMEA is a popular analytical methodology for software reliability and safety analysis. A potential failure-cause-base for airborne software is built to support SFMEA. Analysts can establish recommended actions to the failure modes according to the results of definition of failure modes and potential causes. The potential cause base is used to ensure the completeness of potential cause investigation since currently it depends more on analysts' domain and safety knowledge. Then SSRs can be elicited referring to recommended actions established by SFMEA. And the processes for updating the cause base are established. At last this method is applied to aircraft engine control software in which the feasibility and effectiveness of this method f is demonstrated and software system safety is improved by this work.In this paper a method for eliciting airborne software safety requirements (SSRs) is presented. Software FMEA (SFMEA) is applied to derive SSRs so as to improve airborne software safety. SFMEA is a popular analytical methodology for software reliability and safety analysis. A potential failure-cause-base for airborne software is built to support SFMEA. Analysts can establish recommended actions to the failure modes according to the results of definition of failure modes and potential causes. The potential cause base is used to ensure the completeness of potential cause investigation since currently it depends more on analysts' domain and safety knowledge. Then SSRs can be elicited referring to recommended actions established by SFMEA. And the processes for updating the cause base are established. At last this method is applied to aircraft engine control software in which the feasibility and effectiveness of this method f is demonstrated and software system safety is improved by this work

The Potential Benefits of Awake Craniotomy for Brain Tumor Resection: An Anesthesiologist's Perspective.

Awake craniotomy for brain tumor resection is becoming a standard of care for lesions residing within or in close proximity to regions presumed to have language or sensorimotor function. Evidence shows an improved outcome including greater extent of resection, fewer late neurological deficits, shorter hospital stay, and longer survival after awake brain tumor resection compared with surgery under general anesthesia. The surgeon's ability to maximize tumor resection within the constraint of preserving neurological function by intraoperative stimulation mapping in an awake patient is credited for this advantageous result. It is possible that the care provided by anesthesiologists, especially the avoidance of certain components of general endotracheal anesthesia, may also be important in the outcome of awake brain tumor resection. We present our interpretation of the evidence that we believe substantiates this proposition. However, due to the lack of direct evidence based on randomized-controlled trials and the heterogeneity of anesthetic techniques used for awake craniotomy, our perspective is largely speculative and hypothesis generating that needs to be validated or refuted by future quality research