TCG‐CMDA, a machine learning‐guided capillary microfluidic design automation platform, enables automated design of tree‐shaped concentration gradient generators for programmable mixing of two agents. The pump‐free chip supports synchronized passive flow and programmable gradient formation, providing a practical framework for decentralized point‐of‐care
Mahmood Khalghollah +4 more
wiley +1 more source
Noncoding RNAs and the Architecture of Gene Regulation: Focus on Long and Small Regulatory RNAs
NcRNAs play fundamental roles in many facets of cellular homeostasis, systemic physiology and disease outcomes. Historical and current advancements have led to a deeper understanding of ncRNAs' roles, utilizing their diverse and tissue‐specific functions to drive the development of innovative therapeutic tools.
Samuel Z. Desind +2 more
wiley +1 more source
Depth-Induced Intra-to-Inter Transformer network for stereoscopic image retargeting
With the advancement of three-dimension visual applications, stereoscopic image editing technologies have attracted widespread popularity in both industry and entertainment.
Xiaoting Fan, Long Sun, Zhong Zhang
doaj +1 more source
Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
wiley +1 more source
Cognitive Relevance Transform for Population Re-Targeting
This work examines the differences between a human and a machine in object recognition tasks. The machine is useful as much as the output classification labels are correct and match the dataset-provided labels.
Gregor Koporec +3 more
doaj +1 more source
Integrating Oncolytic Virus Engineering and Delivery Strategies for Enhanced Cancer Virotherapy
Integrated engineering strategies combining oncolytic virus (OV) design with advanced delivery platforms overcome biological barriers and enhance cancer virotherapy. Genetic engineering improves viral potency and selectivity, while local and systemic delivery systems promote viral protection, tumor targeting, penetration, and tumor microenvironment ...
Jiliang Zhao +5 more
wiley +1 more source
Geometric Retargeting: A Principled, Ultrafast Neural Hand Retargeting Algorithm
We introduce Geometric Retargeting (GeoRT), an ultrafast, and principled neural hand retargeting algorithm for teleoperation, developed as part of our recent Dexterity Gen (DexGen) system. GeoRT converts human finger keypoints to robot hand keypoints at 1KHz, achieving state-of-the-art speed and accuracy with significantly fewer hyperparameters.
Zhao-Heng Yin +6 more
openaire +2 more sources
Inducible CRISPR/Cas systems in precision oncology: Current applications and future perspectives
Inducible CRISPR/Cas systems enable spatiotemporal genome editing in precision oncology. Chemical, optical, physical, and microenvironmental stimuli provide distinct control strategies. Conditional activation may reduce off‐target exposure and basal nuclease activity.
Ziliang Ding +3 more
wiley +1 more source
CEBP and ZEB2 alterations define three distinct subtypes of B‐cell acute lymphoblastic leukemia
Abstract B‐cell acute lymphoblastic leukemia (B‐ALL) is a heterogeneous malignancy driven by diverse genetic alterations. Among these, CEBP family genes and ZEB2 are recurrently involved, yet the spectrum of genomic mechanisms and their clinical impact remain incompletely defined.
Rathana Kim +29 more
wiley +1 more source
Retargeting Matters: General Motion Retargeting for Humanoid Motion Tracking
Humanoid motion tracking policies are central to building teleoperation pipelines and hierarchical controllers, yet they face a fundamental challenge: the embodiment gap between humans and humanoid robots. Current approaches address this gap by retargeting human motion data to humanoid embodiments and then training reinforcement learning (RL) policies ...
João Pedro Araújo +4 more
openaire +2 more sources

