Ward: Education

231

Scientists chart over 140,000 DNA loops to map human chromosomes in the nucleus

One of the most detailed 3D maps of how the human chromosomes are organized and folded within a cell's nucleus is published in Nature.

111

Assessing Automated Fact-Checking for Medical LLM Responses with Knowledge Graphs

arXiv:2511.12817v2 Announce Type: replace
Abstract: The recent proliferation of large language models (LLMs) holds the potential to revolutionize healthcare, with strong capabilities in diverse medical tasks. Yet, deploying LLMs in high-stakes healthcare settings requires rigorous verification and …

218

Fose: Fusion of One-Step Diffusion and End-to-End Network for Pansharpening

arXiv:2512.17202v1 Announce Type: new
Abstract: Pansharpening is a significant image fusion task that fuses low-resolution multispectral images (LRMSI) and high-resolution panchromatic images (PAN) to obtain high-resolution multispectral images (HRMSI). The development of the diffusion models (DM) …

342

Medical Imaging AI Competitions Lack Fairness

arXiv:2512.17581v1 Announce Type: new
Abstract: Benchmarking competitions are central to the development of artificial intelligence (AI) in medical imaging, defining performance standards and shaping methodological progress. However, it remains unclear whether these benchmarks provide data that are…

339

Scientists claim 'Lucy' may not be our direct ancestor after all, stoking fierce debate

Recent fossil finds could mean that "Lucy" wasn't our direct ancestor, some scientists say. Others strongly disagree.

313

The dual impact of stellar bars on star formation in galaxy pairs

Professor Woong-bae Zee of the College of Liberal Studies at Sejong University has revealed that a galaxy does not possess only a single evolutionary pathway; instead, depending on the nature of its neighboring galaxy, it can exhibit two entirely different "faces of evolution." The work is published…

231

AI uncovers double-strangeness: A new double-Lambda hypernucleus

Researchers from the High Energy Nuclear Physics Laboratory at the RIKEN Pioneering Research Institute (PRI) in Japan and their international collaborators have made a discovery that bridges artificial intelligence and nuclear physics. By applying deep learning techniques to a vast amount of unexami…

110

How Everyday Sights and Sounds Can Quietly Control Your Decisions

For some people, everyday sights and sounds quietly hijack decision-making—and refuse to let go. People naturally learn to connect what they see and hear with what happens next. Over time, visual and sound cues in the environment can signal whether a choice is likely to lead to a good or bad outcome…

111

SGS-3D: High-Fidelity 3D Instance Segmentation via Reliable Semantic Mask Splitting and Growing

arXiv:2509.05144v2 Announce Type: replace
Abstract: Accurate 3D instance segmentation is crucial for high-quality scene understanding in the 3D vision domain. However, 3D instance segmentation based on 2D-to-3D lifting approaches struggle to produce precise instance-level segmentation, due to accum…

111

Cells reveal 'survival of the fittest' through ribosome competition

Ribosomes—the tiny factories that build proteins in our cells—don't all work with the same efficiency. Researchers from Japan have discovered that ribosomes actually compete with one another, and those that perform poorly are selectively broken down when more efficient ones are present. This built-i…

122

Nanoplastics have diet-dependent impacts on digestive system health, study finds

Plastics are not inert: they gradually break into fragments over time, forming micro- and then nanoplastics (i.e., particles

111

Maintaining the Level of a Payload carried by Multi-Robot System on Irregular Surface

arXiv:2512.16024v2 Announce Type: replace
Abstract: In this paper, we introduce a multi robot payload transport system to carry payloads through an environment of unknown and uneven inclinations while maintaining the desired orientation of the payload. For this task, we used custom built robots wit…

123

Towards Sharp Minimax Risk Bounds for Operator Learning

arXiv:2512.17805v1 Announce Type: cross
Abstract: We develop a minimax theory for operator learning, where the goal is to estimate an unknown operator between separable Hilbert spaces from finitely many noisy input-output samples. For uniformly bounded Lipschitz operators, we prove information-theo…

230

Four special Poncelet triangle families about the incircle

arXiv:2512.17440v1 Announce Type: cross
Abstract: We describe four special families of ellipse-inscribed Poncelet triangles about the incircle which maintain certain triangle centers stationary and which also display interesting conservations.

211

Comparing the Fairness of Recursively Balanced Picking Sequences

arXiv:2512.17604v1 Announce Type: new
Abstract: Picking sequences are well-established methods for allocating indivisible goods. Among the various picking sequences, recursively balanced picking sequences -- whereby each agent picks one good in every round -- are notable for guaranteeing allocation…

450

ALMA observations reveal multiscale fragmentation in massive star formation

Researchers from Yunnan University, the Shanghai Astronomical Observatory (SHAO) of the Chinese Academy of Sciences, and the National Astronomical Observatory of Japan have unveiled new insights into the fragmentation mechanisms of high-mass star-forming regions.

111

Non-Perturbative Trivializing Flows for Lattice Gauge Theories

arXiv:2410.13161v2 Announce Type: replace-cross
Abstract: Continuous normalizing flows are known to be highly expressive and flexible, which allows for easier incorporation of large symmetries and makes them a powerful computational tool for lattice field theories. Building on previous work, we pre…

120

Study: More eyes on the skies will help planes reduce climate-warming contrails

Images from geostationary satellites alone aren’t enough to help planes avoid contrail-prone regions, MIT researchers report.

220

DeContext as Defense: Safe Image Editing in Diffusion Transformers

arXiv:2512.16625v2 Announce Type: replace
Abstract: In-context diffusion models allow users to modify images with remarkable ease and realism. However, the same power raises serious privacy concerns: personal images can be easily manipulated for identity impersonation, misinformation, or other mali…