Environmental air pollution monitoring in non industrial area using machine learning techniques and IOT

Objectives: To provide an enhanced embedded-based IOT network for monitoring environmental pollution in non-Industrial areas with an efficient machine learning pollution prediction system. Methods: The methodology of the Dual processing Environmental Monitoring System (DPEMS) is carried out through a Dual processing unit (Arduino-Raspberry Pi) with advanced environmental air pollution, collecting sensors such as DHT22, CO2 (MG811), NO2 (MICS-4514), and SO2 (SGS-SO2). The environmental air pollutant data has been shared with IOT cloud storage from the Dual central processing unit to the IBM blue mix platform. To enhance a better pollution prediction system, machine learning classifiers such as ANN, SVM, and Decision Tree has been applied. The machine learning training and testing validation has been done using Pycharm 2021.1.1. The actual and predicted pollutant value has been evaluated using the performance metrics as RMSE, R2, and IA. Findings: the proposed IOT-based embedded DPEMS is utilized to increase the accuracy of real-time actual pollutant value and alert the threshold level of pollutant particles such as Temperature, Humidity, Carbon dioxide (CO2), and Nitrogen dioxide (NO2), and sulfur dioxide (SO2) in Non-Industrial areas.&nbsp

Role of PET-CT in the assessment of myocardial viability in patients with left ventricular dysfunction

Aim: Role of PET-CT in assessment of myocardial viability in patients with LV dysfunction. Methods: This prospective study included 120 patients with LV dysfunction who underwent 99mTechnetium-Sestamibi myocardial perfusion SPECT-CT and 18FFDG cardiac PET-CT. They also underwent serial echocardiography and coronary angiography along with myocardial perfusion and FDG PET study. Results: Thirty-three patients had single vessel disease, 48 had triple vessel disease, and rest had double vessel disease. Among 786 segments, matched defects were seen in 432 (55%) and mismatched defects in 354 (45%) segments. 78 patients were surgically managed, and 42 were medically managed. The change in LVEF after surgical management was statistically significant compared to medical management. Conclusion: Viability assessment should be performed in patients who present after 12 h of acute myocardial infarction or with LV dysfunction due to ischemic heart disease to decide upon appropriate surgical management

Ultrasound versus X-ray abdomen in the diagnosis of fibrocalculous pancreatic diabetes

Fibrocalculous Pancreatic Diabetes is a form of diabetes secondary to chronic, nonalcoholic, pancreatitis. The usefulness of ultrasonography versus plain X-Ray of the abdomen in the diagnosis of this entity was compared. The sensitivity of the ultrasound for picking up of pancreatic calculi was 83.8% compared to 95.2% for plain X-Ray abdomen. However 23% of patients in whom X-Rays were normal ultrasonography picked up evidence of chronic pancreatitis. The diagnosis of chronic pancreatitis in these patients was confirmed by exocrine pancreatitis function tests. Ultrasonography had a false negative rate of 10.2%. In conclusion plain X-Ray of the abdomen and ultrasonography are complementary to each other in the dignosis of fibrocalculous pancreatic diabetes. A combination of both parameters along with a test of exocrine pancreatic function greatly reduces the need for invasive procedures for the diagnosis of this disease