Results 71 to 80 of about 219,511 (216)
Methodologies for Sample Multiplexing and Computational Deconvolution in Single‐Cell Sequencing
Sample multiplexing offers a critical solution for boosting throughput and minimizing batch effects in single‐cell sequencing. This review navigates the latest experimental methodologies and computational deconvolution algorithms, bridging the gap between wet‐lab design and analytical success.
Yufei Gao, Weiwei Yin, Wei Hu, Wei Chen
wiley +1 more source
Design and Experimental Validation of a Photocatalyst Recommender Based on a Large Language Model
Choosing a photocatalyst for a given reaction can be challenging due to complex mechanisms and multiple parameters that govern the outcome of a photocatalyzed reaction. Herein, we disclose a machine learning (ML) model that can suggest catalysts for a given reaction using an online portal.
Francis Millward +13 more
wiley +2 more sources
This study demonstrates that polyC‐RNA‐binding protein 1 (PCBP1) in ventral hippocampal astrocytes modulates depressive‐like behaviors by regulating glutathione peroxidase 4‐mediated ferroptosis and synaptic glutamatergic transmission. PCBP1 overexpression intervention in the chronic unpredictable mild stress model rescues behavioral deficits ...
Jinyu Zhang +15 more
wiley +1 more source
Crystallographic Study of DNA T‐Junction via Crystal Engineering
Engineered DNA crystals provides a platform to regularly arrange guest molecules for crystallographic study. Herein, the 3D structure of T‐junction, a commonly used motif in DNA nanotechnology, was revealed. Abstract Engineering DNA crystals is the primary motivation for structural DNA nanotechnology.
Xiang Li +3 more
wiley +2 more sources
Conceptual diagram and schematic illustration of microenvironmental changes in individuals with ASBO before and after treatment. BMSC@Gel therapy transforms the ASBO microenvironment from an inflammatory, fibrotic state with aberrant matrix deposition and barrier dysfunction to a regenerative state with reduced inflammation and improved structural ...
Lihong Zheng * +7 more
wiley +1 more source
LEGO‐like Origami Robots Standardize Structure Design of Soft Robots
The paper proposes a comprehensive design framework that standardizes the soft robot development process as the assembly of LEGO‐like, off‐the‐shelf origami actuator modules. With actuators designed to accommodate thickness and an optimization‐based assembly strategy, it establishes a repeatable, systematic workflow that streamlines and accelerates ...
Zheng Wang, Yuzhe Wang, Hongying Zhang
wiley +1 more source
Traditionally considered sterile, the articular cavity is now recognized to harbor microbial communities influencing osteoarthritis (OA). Integrating 16S rRNA sequencing and culturomics, Micrococcus luteus is enriched in advanced OA. Notably, M. luteus G18 exacerbates cartilage degeneration via TLR2/JNK/AP‐1‐mediated ECM disruption, revealing intra ...
Tingtao Chen +6 more
wiley +1 more source
Recent Progress in Mechanoluminescence for Multi‐Dimensional Stress Monitoring
Multi‐dimensional stress visualization technology (0D point detection, 1D linear distribution, 2D planar imaging, 3D volume reconstruction) has become a focus of attention in the field of stress sensing. The transition from “points” to “multi‐dimensional spatial fields” facilitates real‐time, in situ, and high‐resolution visualization of stress ...
Xiuxia Yang +3 more
wiley +1 more source
MXene‐Enhanced Electromembrane Systems for Advanced Water Applications: A Review
MXenes, synthesized via etching, intercalation, and delamination, exhibit hydrophilicity, conductivity, tunability, and strength, enabling roles as membranes, electrodes, and hybrids in electrical‐driven membrane technologies. These systems leverage adsorption, catalysis, separation, and self‐cleaning but face challenges in stability, scalability ...
Zainab Alansari +2 more
wiley +1 more source
From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal +2 more
wiley +1 more source

