A new method developed at LMU overcomes fundamental resolution limits and may provide insights into high-temperature ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Welcome to Stevens! As you begin your college journey (hopefully as a Duck!) I thought I would write this week’s column in a style more like “vintage” submissions from For Math’s Sake’s early days ...

The mechanical behavior of viscoelastic materials is influenced, among other factors, by parameters like time and temperature. The present paper proposes a methodology for a thermorheologically and ...

Before Tara Selter, the protagonist of “On the Calculation of Volume,” a series by the Danish author Solvej Balle, gets trapped in a time loop, she is one half of a unit called T. & T. Selter. It’s a ...

Repeated convolution and truncation of a truncated fat-tailed distribution, instead of Monte Carlo simulation, for pricing a discrete, simple barrier option is presented. The parameters for the ...

Convolution is a remarkable property of the Fourier transform, often cited in the literature as the “faltung theorem”. Convolution is a remarkable property of the Fourier transform, often cited in the ...

Abstract: This study aimed to construct a predictive model based on the Bayes theorem and Mitchell criteria. The Bayes theorem is expressed as integrals of convolution by using test probabilistic ...

Maybe your smartwatch has been telling you your VO2 max for a while now, but you’re not sure how accurate it is. Or maybe you’ve recently been targeted by social media ads for fancy running labs ...

Because warm air rises, the attic is the best place to start, particularly for those in colder climates. But any living space adjacent to the outdoors or, say, a transitional space such as a garage ...