The system presented in this paper is an advanced real-time air quality reporting system supported by the Internet of Things (IoT) architecture. Air quality in an environment heavily affected by the community’s state in a region may affect human, animal, and plant safety. Therefore, air quality levels in a region should be tracked regularly. This study aimed to build an IoT-based air quality system to evaluate air quality conditions in a given region. The device can track the air rates of different substances including O3, SO2, CO and particulate matter using sensors. Read the Arduino microcontroller sensor detail. The data sent to the cloud system then accessed the cloud system through a WIFI module on Arduino. The effects of the tracking are available through a cloud Site page. The current model is implemented successfully and can be deployed for real system implementations.
Water is arguably the world’s most important resource. Enormous water is lost around the world due to leakages of water pipelines. Wisely wasting water should be stopped in order to exploit this advantage. This article suggests a safer approach in which the pipeline controls water pressure, and the leaking of the pipeline is observed. Observatory package with Raspberry Pi and a water quality sensor pair are connected throughout the pipeline. Continuously uploads the sensor data to the cloud server. If the pressure is below the specified threshold and the processor sends the warning message to the workers concerned amid persistent stress, the water quality disrupts. In order to post to the server, we need Internet access. However, warning messages can also be sent via SMS services that operate with the GPRS in the absence of the internet. This article further clarifies tentative steps to minimize leakage. The flow of water through the valves located at the link between the pipelines is supplied and controlled. The control valve location is controlled to mitigate water loss due to the leakage generators so that water flow is decreased into the same pipeline resulting in lower water loss.
Background: Cerebral vasospasm remains the most common cause of death in patients after subarachnoid hemorrhage despite various treatments. This study was conducted to find the efficacy of intracisternal washing with papaverine on cerebral blood flow.
Materials and Methods: This study was performed on 40 patients and totally 120 arteries in 2022. Cerebral blood flow velocity changes before and after washing with papaverine were measured and analyzed.
Results: Twenty (20) patients with anterior communicating artery (ACOM) aneurysm and 20 patients with middle cerebral artery (MCA) aneurysm were assessed. Mean blood flow velocity before aneurysm and before washing in ACOM and MCA was 66.2±13.8cm/s and 62.86±7.3cm/s, respectively, which reached 20.45±4.17 cm/s and 32.1±7.7 cm/s, respectively after washing (P value = 0.016 and 0.024).
Mean blood flow after aneurysm and before washing in ACOM and MCA was 93.2±10.9 cm/s and 69.44±12.2 cm/s, respectively, which reached 33.29±4.2cm/s and 40.01±5.28 cm/s, respectively after washing (P value = 0.001 and 0.01).
Conclusion: Intracisternal irrigation with papaverine significantly reduces cerebral blood flow and relieves vasospasm.
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