Introduction Armed conflict severely impacts health, with indirect deaths often exceeding direct casualties two to four times ...

The mission of CNSTAT is to provide advice to the federal government and the nation grounded in the current best scientific knowledge and practice that will lead to improved statistical methods and ...

The US government has reopened following its longest-ever shutdown, setting the stage for the eventual release of the gold-standard federal data that is crucial in analyzing the health and trajectory ...

Abstract: Seismic data interpolation is an important processing method for improving the quality of seismic data. Traditional interpolation methods often face limitations due to their dependence on ...

Economists say unbiased data is essential for policymaking, and for democracy. President Trump said he ousted the head of the Bureau of Labor Statistics because the numbers produced by her agency were ...

This paper presents an intelligent multipath transmission method for multimodal data streams over wide area networks (WANs), addressing challenges such as network delay and packet loss in telemedicine ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the predictability of ...

-- Company to host a live webcast event with an expert panel of clinicians during EHA2025 -- REDWOOD CITY, Calif.--(BUSINESS WIRE)--Arcellx, Inc. (NASDAQ: ACLX), a biotechnology company reimagining ...

Test-time Adaptive Optimization can be used to increase the efficiency of inexpensive models, such as Llama, the company said. Data lakehouse provider Databricks has unveiled a new large language ...

WASHINGTON, March 4 (Reuters) - U.S. President Donald Trump's administration has disbanded two expert committees that worked with the government to produce economic statistics, potentially affecting ...

ABSTRACT: Singh, Gewali, and Khatiwada proposed a skewness measure for probability distributions called Area Skewness (AS), which has desirable properties but has not been widely applied in practice.