Voters are closely split over which party they prefer in the November midterm elections, but Democrats hold a wide advantage in voter enthusiasm over Republicans that could help them reclaim at least ...

At the eight-month mark of President Donald Trump’s second presidential term, The Washington Post fielded a survey with Ipsos measuring Americans’ opinions of the presidency and found a public mostly ...

Abstract: In this paper, we introduce a classical algorithm for random sampling of permutations, drawing inspiration from the Steinhaus-Johnson-Trotter algorithm. Our approach takes a comprehensive ...

Agricultural soil testing is critical to determining soil’s nutrient concentration and variability across your fields. It is ideal to test your fields’ soil at least every two to three years to inform ...

Abstract: Exploratory Landscape Analysis characterizes fitness landscapes of various optimization problems to categorize them and reveal relationships with different metaheuristic algorithms. It uses ...

There are many methods available to fit random-effects meta-analysis. However, until 2024, the only option available in RevMan has been the DerSimonian and Laird random-effects method. This method is ...

On Nov. 4, the day before the presidential election, the polling firm Research Co. released its final survey. Unsurprisingly, it concluded that “the battleground states remain closely contested.” In ...

In a study published in PNAS, a research team developed a new reinforcement learning-based enhanced sampling method called Adaptive Collective Variables Generator (Adaptive CVgen), which has been ...

A weighted random item sampler (selector), where the probability of selecting an item is proportional to its weight, and every item is sampled exactly once (without repetition or replacement). The ...

As the U.S. presidential election approaches, news reports and social media feeds are increasingly filled with data from public opinion polls. How do pollsters know which candidate is ahead in what ...