Evaluating Time-Varying and Heterogeneous Efficacy of COVID-19 Antiviral Drugs

The efficacy of many COVID-19 antiviral drugs has been shown to vary across different demographic and clinical subpopulations. It is therefore of great interest to understand this heterogeneous dru...

tandfonline.com

BIARD: Bayesian Individualized Abnormal Region Detection

Identifying individualized abnormal regions is a central goal in biomedical imaging, as it can provide critical insights for personalized treatment. In practice, individualized abnormal region dete...

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Adaptive Generative Moment Matching Networks for Improved Learning of Dependence Structures

An adaptive bandwidth selection procedure for the mixture kernel in the maximum mean discrepancy (MMD) for fitting generative moment matching networks (GMMNs) is introduced, and improved learning o...

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A stochastic assessment of monthly rainfall pattern: a case of Owerri, Nigeria

This study addresses a critical gap in agro-meteorological planning: the absence of reliable probabilistic models for predicting monthly rainfall regimes. Specifically, we aim to quantify the long-...

tandfonline.com

Product Depth for Truncated Temporal Point Processes

Temporal point process data arise in many applications, such as neuroscience and finance, where the focus is on the timing of sequential events. In many settings, however, observations are collecte...

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On the spatial variation of the mechanical properties of ductile iron castings with non-uniform geometry

This study investigates the influence of non-uniform geometry on the local cooling conditions, microstructural evolution and static mechanical properties of ductile iron EN-GJS-500-7 castings, usin...

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Purity and danger: new shit for old in Santa Barbara at the turn of the millennium

In the late 1990s the citizens of Santa Barbara in Southern California experienced twin shocks that destabilized their understanding of their shit, obliging them to reconsider both the degree to wh...

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Optimising Miquel circles centre triangles and third pedal triangles

This paper presents two, seemingly new, phenomena of Euclidean geometry. In the first part, we discuss two different proofs that the Miquel circles centre triangle has minimal area if, and only if,...

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Integrating quantum machine learning and deep learning for the classification of cardiovascular diseases

Quantum computing is fast-growing and progressive technology that provides the best results in various domains – including healthcare. In this paper, the Quantum Machine Learning (QML) algorithms, ...

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German World War I diplomatic and attaché codes – a revised study and the Dutch contribution

In World War I, Germany employed a multitude of codes and codebooks for the communications of diplomats and attachés – naval and military – in remote embassies across European neutral countries, th...

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Equilibrium Core Optimization of Composite Moderators in Pebble Bed High-Temperature Gas-Cooled Microreactors

As both industry and government move toward meeting their decarbonization goals, nuclear power is increasingly being considered due to its legacy of providing clean and reliable power. Pebble bed (...

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Product Depth for Truncated Temporal Point Processes

Temporal point process data arise in many applications, such as neuroscience and finance, where the focus is on the timing of sequential events. In many settings, however, observations are collecte...

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Tech oligarchy

Published in Science as Culture (Ahead of Print, 2026)

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Fields Medal 2026 winners include mathematician Hong Wang - the third woman to ever win in the award's 90-year history

The 2026 Fields Medal, one of the world’s most prestigious mathematics prizes, has just been awarded to four pioneering young researchers — including mathematician Hong Wang, the third woman ever to win the prize in the 90 years since the award was established. The Fields Medal is an award presented every four years to mathematicians under the age of 40 for their outstanding discoveries. The International Mathematical Union announced Thursday (July 23) that Wang, a professor at New York University, is among the four recipients of the 2026 medal for her work on a decades-old conjecture about how needles move in 3D spaces. . The 2026 Fields Medal winners also include Yu Deng of the University of Chicago, who was recognized for connecting microscopic and macroscopic descriptions of gases; John Pardon of Stony Brook University, whose work solved major problems in topology and geometry; and Jacob Tsimerman of the University of Toronto, who developed powerful new techniques in algebraic geometry that have advanced progress on longstanding mathematical puzzles. Wang joins an exceptionally small group of women to receive the Fields Medal. Iranian mathematician Maryam Mirzakhani was the first, in 2014, followed by Ukrainian mathematician Maryna Viazovska in 2022. No woman...

livescience.com

Asymptotics of the graph laplacian near an isolated singularity

We investigate the asymptotics of the graph Laplacian on a Riemannian manifold that admits an isolated singularity x . This operator, and its variants underlie kernel methods, manifold learning, a...

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Are we there yet? A solution to the quantum time of arrival problem

In this interview, Maik Reddiger shares how mathematical probability theory can be used to investigate the quantum time of arrival problem.

spr.ly

An Alchemical Prima Materia for the Digital Age: Making the Early Modern Latin Alchemical Prints (EMLAP) Dataset

This article documents the creation of EMLAP (Early Modern Latin Alchemical Prints), a machine-readable corpus of one hundred Latin alchemical printed works produced within the TOME (The Origins of...

tandfonline.com

A stochastic assessment of monthly rainfall pattern: a case of Owerri, Nigeria

This study addresses a critical gap in agro-meteorological planning: the absence of reliable probabilistic models for predicting monthly rainfall regimes. Specifically, we aim to quantify the long-...

tandfonline.com