From southbound cane toads to invasive weeds and fluctuating fish stocks, a novel technique called eDNA has revealed what's in NSW waterways—and how it's influenced by natural disasters.

T.S. is the recipient of an Early Career Fellowship from the Leverhulme Trust. We thank Prof. Qiang Shi for sharing his hierarchical equations of motion code with us. This work utilized the Alpine ...

Methods: Here, we apply a gradient mapping framework to the structural connectome derived from diffusion magnetic resonance imaging. We focus on the first three structural gradients that reflect ...

First, we develop a hierarchical diffusion transformer (HiDiT) to conditionally generate robust representations for detecting nodes and extracting corresponding features. The conditions of HiDiT are ...

In this work, we introduce ``DifFUSER'', a novel approach that leverages diffusion models for multi-modal fusion in 3D object detection and BEV map segmentation ... DifFUSER blocks are chained ...

In this article, we will discuss the DreamCraft3D framework, a hierarchical model for ... and those generated by the Stable Diffusion framework. Each image in the test benchmark has a text prompt, a ...

for semantic segmentation based on Denoising Diffusion Probabilistic Models. Our model is conditioned to the input image, enabling it to generate multiple segmentation label maps that account for the ...

To tackle this problem we propose the roll-out diffusion network (Rodin), which represents a neural radiance field as multiple 2D feature maps and rolls out these ... Finally, we use hierarchical ...

Herein, guided by the generalized Murray's Law, for the first time, the researchers demonstrated the first example of boosting molecular diffusion by constructing hierarchical Murray zeolites ...