8 research outputs found

    Use of rescue high frequency oscillation ventilation in neonates with acute respiratory failure after failing conventional ventilation

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    Background: High frequency oscillatory ventilation (HFOV) is a newer mode of ventilation in neonates. The objective of this study was to study the efficacy of rescue HFOV in improving the oxygenation and ventilation in neonates with acute respiratory failure after failing synchronised intermittent mandatory ventilation (SIMV).Methods: A prospective observational study was conducted over a period of 12 months. Neonates with respiratory distress requiring ventilation on SIMV mode based upon the unit protocol were included in the study. Babies who have failed on SIMV were then switched over to HFOV. The primary outcome measures were oxygenation index (OI), ventilation: alveolar-arterial oxygen gradient (AaDO2) and duration of ventilation with a secondary outcome measure of mortality and complications associated with ventilation.Results: A total of 65 babies were ventilated out of which 11 babies required high frequency oscillatory ventilation as per the study protocol. Of 11 neonates who were oscillated eight (72.7%) improved and survived. Among the babies who survived OI<13 was seen in a total of six babies in the first three hours of oscillation and OI<10 was seen in two babies. There was no statistically significance difference in the incidence of intra-ventricular haemorrhage (IVH) and pneumothorax between HFOV and SIMV group.Conclusions: High frequency oscillatory ventilation was found to improve short term oxygenation and ventilation in neonates who failed SIMV. HFOV is not associated with increased risk of pneumothorax or IVH

    Curious case of corpus callosal hematoma in a normotensive post-partum female patient: a case report of reversible post-partum angiopathy with clinico-radiological correlation

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    Postpartum cerebral angiopathy (PCA) is a rare cause of stroke in the puerperium. It usually presents with episodes of headache, seizures and neurological deficits in early post-partum period in normotensive females. CT, MRI and catheter angiography may demonstrate segmental vasoconstriction that often resolves spontaneously. PPA is generally regarded as a benign, non-relapsing and reversible disease process. We present a clinico-radiological correlative case of isolated corpus callosal hematoma in a post-partum normotensive female with evidence of intracranial vascular spasm and luminal irregularity on CT and catheter angiography. Follow up MR angiography showed resolution of the vasospasm and luminal irregularity. Patient was managed conservatively and showed resolution of the symptoms in follow up visit on 8th week.

    Towards Resilient UAV Swarms&mdash;A Breakdown of Resiliency Requirements in UAV Swarms

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    UAVs have rapidly become prevalent in applications related to surveillance, military operations, and disaster relief. Their low cost, operational flexibility, and unmanned capabilities make them ideal for accomplishing tasks in areas deemed dangerous for humans to enter. They can also accomplish previous high-cost and labor-intensive tasks, such as land surveying, in a faster and cheaper manner. Researchers studying UAV applications have realized that a swarm of UAVs working collaboratively on tasks can achieve better results. The dynamic work environment of UAVs makes controlling the vehicles a challenge. This is magnified by using multiple agents in a swarm. Resiliency is a broad concept that effectively defines how well a system handles disruptions in its normal functioning. The task of building resilient swarms has been attempted by researchers for the past decade. However, research on current trends shows gaps in swarm designs that make evaluating the resiliency of such swarms less than ideal. The authors believe that a complete well-defined system built from the ground up is the solution. This survey evaluates existing literature on resilient multi-UAV systems and lays down the groundwork for how best to develop a truly resilient system

    Towards Resilient UAV Swarms—A Breakdown of Resiliency Requirements in UAV Swarms

    No full text
    UAVs have rapidly become prevalent in applications related to surveillance, military operations, and disaster relief. Their low cost, operational flexibility, and unmanned capabilities make them ideal for accomplishing tasks in areas deemed dangerous for humans to enter. They can also accomplish previous high-cost and labor-intensive tasks, such as land surveying, in a faster and cheaper manner. Researchers studying UAV applications have realized that a swarm of UAVs working collaboratively on tasks can achieve better results. The dynamic work environment of UAVs makes controlling the vehicles a challenge. This is magnified by using multiple agents in a swarm. Resiliency is a broad concept that effectively defines how well a system handles disruptions in its normal functioning. The task of building resilient swarms has been attempted by researchers for the past decade. However, research on current trends shows gaps in swarm designs that make evaluating the resiliency of such swarms less than ideal. The authors believe that a complete well-defined system built from the ground up is the solution. This survey evaluates existing literature on resilient multi-UAV systems and lays down the groundwork for how best to develop a truly resilient system

    Navigating the skies: examining the FAA’s remote identification rule for unmanned aircraft systems

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    As technology and innovations in unmanned aerial vehicles progress, so does the need for regulations in place to create safe and controlled flying scenarios. The Federal Aviation Administration (FAA) is a governing body under the United States Department of Transportation that is responsible for a wide range of regulatory activities related to the United States airspace. In a recently published final rule, the FAA addresses several concerns such as the need for a system to identify all aircrafts flying in national airspace, as well as the implementation of a separate system from the prevalent Automatic Dependent Surveillance–Broadcast system to prevent interference with manned aircrafts. Their solution to these concerns is the deployment of remote identification (RID) on all unmanned aircraft systems (UAS) flying under its implied jurisdiction. While US governing agencies retain the use of the word UAS for now, the International Civil Aviation Organization terminology is remotely piloted aircraft systems. The FAA describes the RID implementation as a “Digital license plate” for all UAS flying in the United States airspace. They outline additional policies including several options for compliance, operating rules, and design and production guidelines for manufacturers. As the September 2023 deadline for compliance draws near, this article highlights possible deployment applications and challenges
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