A novel seasonal index-based machine learning approach for air pollution forecasting.

Novel machine learning models (MLMs) using the seasonal indexing approach that captures the variation in air quality caused due to meteorological changes have been used to provide short-term, real-time forecasts of PM concentration for one of the most polluted air quality control regions (AQCR) in the capital city of Delhi. Two MLMs-multi-linear regression and random forest-have been developed for using time series data for 1-h and 24-h average PM concentration. Short-term, real-time forecasts have been made using the developed models.

Effectiveness and Safety of Apixaban versus Rivaroxaban in Patients with Atrial Fibrillation and Type 2 Diabetes Mellitus.

Aims:  To evaluate the effectiveness and safety of apixaban versus rivaroxaban among patients with nonvalvular atrial fibrillation (NVAF) and type 2 diabetes mellitus (T2DM).

Methods And Results:  Using the United Kingdom's Clinical Practice Research Datalink linked to the Hospital Episode Statistics repository, and the Office for National Statistics database, we identified a cohort of patients with NVAF and T2DM newly treated with apixaban or rivaroxaban between 2013 and 2020. Propensity scores with standardized mortality ratio weighting were used to control for confounding.

Highly birefringent, highly negative dispersion compensating photonic crystal fiber.

A triangular lattice dispersion compensating photonic crystal fiber is presented in this paper. The fiber produces high birefringence and operates at fundamental mode only. The full vector finite element method with a perfectly matched absorbing layer boundary condition is applied to investigate the guiding properties of the proposed fiber.

Multi-Path Model and Sensitivity Analysis for Galvanic Coupled Intra-Body Communication Through Layered Tissue.

New medical procedures promise continuous patient monitoring and drug delivery through implanted sensors and actuators. When over the air wireless radio frequency (OTA-RF) links are used for intra-body implant communication, the network incurs heavy energy costs owing to absorption within the human tissue. With this motivation, we explore an alternate form of intra-body communication that relies on weak electrical signals, instead of OTA-RF.