Results 121 to 130 of about 20,582 (244)

Detection of High-level PM<SUB>2.5</SUB> Occurrences Applying Local Outlier Factor (LOF) Algorithm

Journal of Korean Society for Atmospheric Environment, 2021
Yongchan Lee, Yongbum Kwon, Heekwan Lee
openaire   +1 more source

DUET‐seq: An Open‐Source Droplet Platform for High‐Fidelity Joint Chromatin and Transcriptome Profiling Reveals Temporal Regulatory Decoupling in Single Cells

Advanced Science, EarlyView.
DUET‐seq is an open‐source droplet platform that jointly profiles chromatin accessibility and gene expression from the same nucleus. Dissolvable dual‐linker hydrogel beads and a one‐step intra‐droplet RT‐PCR co‐index both modalities in under 12 h at roughly $0.04 per cell.
Dong Cheng, Zijun Meng, Lan Wei, Pingjing Yang, Fanfan Zhang, Zhiyi Luo, Ting Lai, Chunli Li, Mengyao Zhao, Mengqin Xu, Jiaqi Wang, Linjun Li, Huarong Chen, Jin Li, Ailong Huang, Youquan Bu, Liuyang Zhao   +16 more
wiley   +1 more source

Entry Point Localisation for Percutaneous Surgical Robots Based on Concentric Fiducial Patches and Robust Surface Fitting. [PDF]

Int J Med Robot
Deng Y, Jiang Q, Wang J, Tang J.
europepmc   +1 more source

Single‐Nucleus Transcriptomic Atlas of Human Vellus Hair Pilosebaceous Units Reveals Age‐Associated Remodeling

Advanced Science, EarlyView.
Human vellus pilosebaceous units (PSUs) remain uncharted. This single‐nucleus atlas reveals coordinated remodeling of the aging PSU niche: reduced bulge stem cell representation with altered regenerative programs, increased representation of a stress‐responsive channel+ epithelial state, enhanced androgen‐responsive sebaceous programs, reduced ...
Ya'nan Li, Zhuoqiong Qiu, Xiaoyu Pan, Geyang Xu, Shanshan Peng, Ronghui Zhu, Qiuyang Luo, Xiaokai Fang, Xu Yao, Wei Li   +9 more
wiley   +1 more source

A Vision-Guided Point Cloud Refinement Method for Helical Surface Measurement: A Case Study on Screw Thread Pitch. [PDF]

Sensors (Basel)
Lou W, Chen H, Yang P, Wu J, Zhou Y, Chen K, Liu L, Kong M, Jiang Y, Ruan W, Zhang X.   +10 more
europepmc   +1 more source

Metabolic Signatures for Liver Cancer Diagnosis and Mechanistic Insights: A Large‐Scale, Multicenter Study

Advanced Science, EarlyView.
A large‐scale multicenter serum metabolomics study (13 centers, n = 2,149) identified a 9‐metabolite + AFP diagnostic signature for liver cancer (AUC = 0.93). Among the signature, nicotinamide (NAM) was validated as an oncometabolite: NAM enhances NAD+ synthesis, activating SIRT1 to deacetylate and stabilize HIF1α, thereby driving glycolysis, MAPK ...
Yongjie Xu, Jiachen Wang, Chunmeng Ding, Changfa Xia, Yunyong Liu, Yuanjie Zheng, Sheng Chang, Shaokai Zhang, Yutong He, Ruifang Sun, Yunfeng Xi, Yan Liu, Kun Qian, Wanqing Chen   +13 more
wiley   +1 more source

Multi-Modal Tightly Coupled Robust Pose Estimation for Mobile Robots in Complex Degraded Scenarios. [PDF]

Sensors (Basel)
Tian H, Li T.
europepmc   +1 more source

3D Bioprinted Blood–Brain–Tumor Barrier Spheroid‐Based In Situ Evaluation of Anticancer Compounds Against Glioblastoma: ROS‐Producing Ruthenium as a Potential Therapeutic Candidate

Advanced Science, EarlyView.
The blood–brain–tumor barrier (BBTB) penetration by anticancer drugs and their effects on glioblastoma (GBM) is assessed using 3D bioprinted‐spheroids. Anticancer drug‐induced U‐87 MG cell death is quantified through in situ imaging of spheroids using a cancer cell death probe. The Ru compound, a partial P‐gp substrate, induces greater tumor‐cell death
Hyunjung Lee, Chan Ho Jeon, Doyun Kim, Minjae Lee, Minji Kwon, Joon Myong Song   +5 more
wiley   +1 more source

MCOD: a memory-constrained deep learning framework for robust outlier detection in quantitative proteomics. [PDF]

Brief Bioinform
Huang J, Liao H, Meng B, Fan G, An D, Dai X, Fang X, Zhao Y.   +7 more
europepmc   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source