The contrast transfer function (CTF) is an imaging aberration that is a major resolution‐limiting factor in cryo‐electron microscopy (cryo‐EM). Precise CTF estimation is key to overcoming this limitation, but is particularly challenging in cryo‐electron tomography (cryo‐ET) data. Here, we present an approach for using geometric information to assist in
Sagar Khavnekar, William Wan
wiley +1 more source
A statistical upper body model for 3D static and dynamic gesture recognition from stereo sequences [PDF]
Ara Nefian+2 more
openalex +1 more source
Understanding and Overcoming Immunotherapy Resistance in Skin Cancer: Mechanisms and Strategies
This narrative review explores the mechanisms driving immunotherapy resistance in skin cancer, including tumor microenvironment factors, genetic mutations, and immune evasion strategies. It highlights potential strategies to overcome resistance, offering insights for improving therapeutic outcomes and guiding future research in personalized ...
Shreya Singh Beniwal+8 more
wiley +1 more source
Aging weakens the blood–brain barrier (BBB), increasing susceptibility to CNS cancers and complicating treatment. This review examines BBB deterioration, its impact on drug delivery, and potential interventions like targeting neuroinflammation and advanced therapies.
Quang La, Aiman Baloch, David F. Lo
wiley +1 more source
Integrating Representational Gestures into Automatically Generated Embodied Explanations and its Effects on Understanding and Interaction Quality [PDF]
In human interaction, gestures serve various functions such as marking speech rhythm, highlighting key elements, and supplementing information. These gestures are also observed in explanatory contexts. However, the impact of gestures on explanations provided by virtual agents remains underexplored.
arxiv
Dynamic Gesture Recognition in Ultra-Range Distance for Effective Human-Robot Interaction [PDF]
This paper presents a novel approach for ultra-range gesture recognition, addressing Human-Robot Interaction (HRI) challenges over extended distances. By leveraging human gestures in video data, we propose the Temporal-Spatiotemporal Fusion Network (TSFN) model that surpasses the limitations of current methods, enabling robots to understand gestures ...
arxiv
Prosody based co-analysis for continuous recognition of coverbal gestures [PDF]
S. Kettebekov+2 more
openalex +1 more source
ConvoFusion: Multi-Modal Conversational Diffusion for Co-Speech Gesture Synthesis [PDF]
Gestures play a key role in human communication. Recent methods for co-speech gesture generation, while managing to generate beat-aligned motions, struggle generating gestures that are semantically aligned with the utterance. Compared to beat gestures that align naturally to the audio signal, semantically coherent gestures require modeling the complex ...
arxiv
Recognition of Head Gestures Using a Sequence of Range Images.
Kazunori Umeda, Norihito Suzuki
openalex +2 more sources
Untethered gesture acquisition and recognition for a multimodal conversational system [PDF]
Taeyoung Ko, D. Demirdjian, T. Darrell
openalex +1 more source