Long-term safety and efficacy of ropeginterferon alfa-2b in Japanese patients with polycythemia vera.

Ropeginterferon alfa-2b (ropegIFN), a new-generation interferon-based agent, has been approved in Japan for patients with polycythemia vera (PV) who are ineligible for or respond inadequately to conventional treatment. However, long-term outcomes with ropegIFN in Japanese patients have not been reported. This extension of a phase 2 study of ropegIFN in Japanese patients with PV aimed to determine its long-term safety/efficacy, and changes over time in JAK2 V617F allele burden.

High moisture confluence in Japan Sea polar air mass convergence zone captured by hourly radiosonde launches from a ship.

Some of the heaviest snowfalls in urban areas in the world occur in Japan, particularly in regions that face the Japan Sea. Many heavy snowfalls are produced by a Japan Sea polar air mass convergence zone (JPCZ), which is an atmospheric river-like cloud zone that forms when Siberian cold air flows over the warm Japan Sea. Quantifying how the air-sea interaction strengthens the JPCZ is key to snowfall prediction.

Efficacy and safety of ropeginterferon alfa-2b in Japanese patients with polycythemia vera: an open-label, single-arm, phase 2 study.

Ropeginterferon alfa-2b is a novel, site-selective, monopegylated recombinant human interferon alfa-2b. Safety and efficacy of ropeginterferon alfa-2b for the treatment of polycythemia vera were demonstrated in clinical studies conducted in European countries, but clinical studies in Japanese patients are lacking. This phase 2, open-label, multicenter, single-arm study investigated the safety and efficacy of ropeginterferon alfa-2b in 29 Japanese patients with polycythemia vera including young patients and patients with low thrombosis risk who are difficult to receive guideline-based standard treatments.

Downscaling Global Emissions and Its Implications Derived from Climate Model Experiments.

In climate change research, future scenarios of greenhouse gas and air pollutant emissions generated by integrated assessment models (IAMs) are used in climate models (CMs) and earth system models to analyze future interactions and feedback between human activities and climate. However, the spatial resolutions of IAMs and CMs differ. IAMs usually disaggregate the world into 10-30 aggregated regions, whereas CMs require a grid-based spatial resolution.