The advancement of Wireless Body Area Networks (WBAN) have led to significant progress in medical and health care systems.However, such networks still suffer from major security and privacy threats, especially for the data collected in medical or health care applications.Lack of security and existence of anonymous communication in WBAN brings about
An Adaptive Spatial Resolution Method Based on the ST-ResNet Model for Hourly Property Crime Prediction
Effective predictive policing can guide police patrols and deter crime.Hourly crime prediction is expected to save police time.The selection of spatial resolution is important due to its strong relationship with the accuracy of crime prediction.In this rumchata proof paper, we propose an adaptive spatial resolution method to select the best spatial
Immunotherapy for the treatment of biliary tract cancer: an evolving landscape
Biliary tract cancers (BTCs), consisting of intrahepatic and extrahepatic cholangiocarcinoma and gallbladder cancer, are an aggressive, heterogeneous malignancy.They are most often diagnosed in the locally advanced or metastatic setting, at which point treatment consists of systemic therapy or best supportive care.Our understanding of the tumor mic
A retrospective analysis of COVID-19 positive patients admitted in a tertiary care hospital wards in Mizoram, India
Background: Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2.It primarily presents with respiratory symptoms and can result in damage to the digestive, nervous, and cardiovascular systems.The clinical profile of COVID-19 positive patients and factors associated with mortality has