Cracking the Code of Critical Multitype Branching Trees

In the study of complex systems—think epidemics with different susceptibilities, cell communities with many kinds, or sprawling networks—scientists model the growth as a branching process: each individual spawns a random number of offspring, each with its own type. A frontier case emerges when the average number of offspring per individual hovers exactly at one; this…

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When Graphs Learn to Share Without Revealing Secrets

The world of data is hardly a single, tidy map. It looks more like a constellation: nodes representing people, institutions, or transactions, connected by threads that carry information, risk, or influence. In many real networks those threads aren’t evenly friendly. Some neighborhoods tilt toward similarity, while others are built on cross currents. That pattern, where…

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Can external trial controls ever be trusted again?

Highlights A new statistical approach makes externally controlled single-arm trials more trustworthy by marrying two ideas: balancing covariates to mimic a randomized comparison, and modeling outcomes to guard against misspecification. The result is a doubly robust method that performs well when either the covariate balance model or the outcome model is correct, improving precision and…

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Floodsub’s Secret: A Formal Proof of Correctness

Dissecting a Decentralized Network: The Floodsub Protocol Imagine a vast, ever-shifting network of computers, each exchanging information independently. This is the world of peer-to-peer (P2P) systems, where decentralization reigns supreme. One critical component of these systems is the ability to publish and subscribe to information efficiently — the backbone of countless applications, from chat rooms…

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Can We Trust What AI ‘Sees’ in Big Data?

The Perils of Weak Signals in a World of Big Data We live in the age of big data, where massive datasets offer unprecedented potential for uncovering hidden patterns and making accurate predictions. Yet, this potential is often hampered by a crucial challenge: separating meaningful signals from the overwhelming background noise. This is especially true…

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A Tiny Asymmetry, a Giant Leap for Physics

Imagine a collision so minuscule, it involves just two electrons. But within that seemingly insignificant event lies a potential revolution in our understanding of fundamental physics. A new study from researchers at the PSI Center for Neutron and Muon Sciences and the Physik-Institut, Universität Zürich, delves into the subtle world of parity violation in Møller…

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