Borate‐Water‐Based 3D‐Slime Interface Quasi‐Solid Electrolytes for Li‐ion Batteries
This advanced material, composed of lithium borate, lithium salt, and water, is a quasi‐solid that can be handled in air and has a 3D‐conducting‐interface network (3D‐Slime‐Interface Quasi‐Solid Electrolytes: 3D‐SLISE). The 3D‐SLISE is nonflammable and can be used in lithium‐ion batteries, and its water solubility allows direct recycling of active ...
Yosuke Shiratori+5 more
wiley +1 more source
RoadDiffBox: Automatic Road Distress Diagnosis through Controlled Image Generation and Semi-Supervised Learning. [PDF]
Hu Y, Chen N, Zhang H, Hou Y, Liu P.
europepmc +1 more source
Semi-supervised Learning of Joint Density Models for Human Pose Estimation [PDF]
Ramanan Navaratnam+2 more
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Future Frontiers in Bioinspired Implanted Biomaterials
Gu et al. present an integrative overview of cutting‐edge strategies in bioinspired implantable biomaterials for organ regeneration, highlighting how emerging approaches—including 3D bioprinting, scaffold design, hydrogel systems, surface modification, nanofiber engineering, and genetic manipulation—converge to restore structure and function across ...
Qi Gu+3 more
wiley +1 more source
Transforming label-efficient decoding of healthcare wearables with self-supervised learning and "embedded" medical domain expertise. [PDF]
Gu X+8 more
europepmc +1 more source
Enhanced Semi-Supervised Learning for Automatic Video Annotation [PDF]
Meng Wang+3 more
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This perspective explores the diverse applications of MXene fibers, including those often overlooked in fiber‐focused studies. It emphasizes the critical need to address challenges in synthesis, scalability, and long‐term stability to unlock their full potential in real‐world applications. Abstract Since the first report on MXene‐coated fibers in 2017,
Ken Aldren S. Usman+6 more
wiley +1 more source
Repeatability-encouraging self-supervised learning reconstruction for quantitative MRI. [PDF]
Chen Z+4 more
europepmc +1 more source
Functional impact of missense variants in BRCA1 predicted by supervised learning
Rachel Karchin+4 more
openalex +1 more source
Graph Based Multi-class Semi-supervised Learning Using Gaussian Process [PDF]
Yangqiu Song+2 more
openalex +1 more source