The rapid diffusion of generative AI into academic workflows has created a structural tension in scholarly publishing. On one side, AI offers genuine productivity gains — literature synthesis, writing assistance, code generation. On the other hand, it introduces systemic risks th…
Passive sensing for wellbeing uses smartphones and wearables to continuously collect human behavioral data and applies ML/AI models to infer psychological states and behaviors (e.g., depression, cognitive load). These systems are increasingly adopted in high-stakes settings (e.g.…
Introduction Grassland productivity stability underpins the sustained functioning of arid and semi-arid ecosystems yet identifying how regional stability emerges across local communities remains challenging because stability is multidimensional, scale- dependent, and is shaped by…
Robotic manipulation is inherently multi-frame: local actions may be simple in an end-effector frame, while transport, upright-object handling, and whole-body coordination are better represented in a base-aligned frame. However, modern diffusion-based visuomotor policies typicall…
Despite recent progress of VLA foundation models, the disparity between laboratory conditions and real-world applications continues to impede their practical implementation. To bridge this gap, we present LingBot-VLA 2.0, which advances LingBot-VLA through improvements in three f…
Patient-specific anatomical models provide individualized context for surgical planning, image-guided intervention, and algorithm development. However, most CT-derived models are static: they preserve the body configuration captured at scan time, but cannot represent how the same…