Results 91 to 100 of about 110,504 (231)

Condition‐Associated Pattern Extraction and Recovery From Multi‐Condition Single‐Cell RNA‐seq Data With CAPER

Advanced Science, EarlyView.
Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li, Jin Ning, An Wang, Minxi Shi, Yuanze Chen, Guoliang Liu, Shiquan Sun   +6 more
wiley   +1 more source

An interactive tool for semi-automatic feature extraction of hyperspectral data

Open Geosciences, 2016
The spectral reflectance of the surface provides valuable information about the environment, which can be used to identify objects (e.g. land cover classification) or to estimate quantities of substances (e.g. biomass).
Kovács Zoltán, Szabó Szilárd
doaj   +1 more source

Neuron‐Derived MIF Engages VCAM1 to Fuel a Self‐Amplifying CXCL8 Loop That Drives Perineural Invasion and Metastasis in Gastric Cancer

Advanced Science, EarlyView.
Neuron‐derived MIF binds VCAM1 on gastric cancer cells and activates ERK/STAT3 signaling, leading to CXCL8 transcription and secretion. Tumor‐derived CXCL8 subsequently stimulates neuronal CXCR2 to enhance MIF production, establishing a self‐amplifying MIF–VCAM1–CXCL8 positive‐feedback loop that promotes perineural invasion, tumor progression, and ...
Xunjun Li, Zhongya Zhai, Haiyi Yu, Renjie Qiu, Fengyu Li, Luxi Xiao, Boxi Huang, Huiying Liu, Jiayong He, Bowen Cai, Jiawen Chen, Jiang Yu, Guoxin Li, Tao Chen   +13 more
wiley   +1 more source

THE USE OF PICTURE AND PICTURE MODEL ON MOTIVATION, MATHEMATICAL COMMUNICATION SKILLS, AND MATHEMATICS LEARNING OUTCOMES

JP (Jurnal Pendidikan)
The purpose of the study is to comprehend different motivational factors, mathematical communication abilities, and learning outcomes produced by Fourth-grade students using the Picture and Picture siswa.
Etty Arfa Haerunnisa, Agustan Syamsuddin, Sitti Fithriani Saleh   +2 more
doaj   +1 more source

Natural Variation of COLD and CATECHINS REGULATOR 1 Coordinately Fine‐Tunes Cold Tolerance and Tea Quality in Tea Plants

Advanced Science, EarlyView.
Multi‐trait genome‐wide association mapping identifies a central hub regulator, COLD AND CATECHINS REGULATOR 1 (CCR1), and its excellent natural allele variation, coordinately enhancing cold tolerance and promoting catechins biosyntheis. CsCCR1 interacts with CsCBF1/3 and is transcriptionally activated by CsLUX and CsKUA1 to promote catechins ...
Yanli Wang, Wei Tong, Qiong Wu, Didi Wu, Yanrui Zhang, Qijuan Gao, Fangdong Li, Zhaoliang Zhang, Wenjie Wang, Chuankui Song, Enhua Xia   +10 more
wiley   +1 more source

Femtosecond‐Laser Nanocavitation Regenerates SERS‐Active Plasmonic Nanogaps for Longitudinal Molecular Sensing at Biointerfaces

Advanced Science, EarlyView.
A regenerative molecular sensing platform that co‐localizes surface‐enhanced Raman spectroscopy (SERS) sensing and nanocavitation‐based actuation. Femtosecond‐laser triggered nanocavitation produces thermomechanical forces to locally regenerate SERS‐active nanogaps in protein‐rich biofluids while preserving optical performance.
Aditya Garg, Ze Zong, Meitong Nie, Stacie E. Deaver, Elizabeth M. Van Order, Elieser Mejia, Peter Vikesland, Erin S. Gloag, Wei Zhou   +8 more
wiley   +1 more source

High Tree Species Diversity Promotes Thermal Enhancement Response of Microbial Carbon Use Efficiency

Advanced Science, EarlyView.
ABSTRACT Predicting soil carbon dynamics under warming is constrained by limited understanding of microbial thermal adaptation, particularly whether microbial carbon use efficiency (CUE) can adapt to warming and how plant diversity modulates this response. Using soils from a natural tree species diversity gradient in a subtropical forest, we combined a
Pengpeng Duan, Changqing Ye, Xinyi Yang, Chaoqun Wang, Wolfgang Wanek, Jian‐sheng Ye, Hongzhao Yuan, Hu Du, Kongcao Xiao, Xunyang He, Kelin Wang, Dejun Li   +11 more
wiley   +1 more source

A Plant Photoregulator‐Inspired S‐Type Heterojunction System for Diabetic Keratopathy via Tri‐Modal Light‐Driven Immunometabolic Reprogramming, Tissue Repair, and Antibacterial Activity

Advanced Science, EarlyView.
To address the multifaceted imbalance in diabetic keratopathy, a light‐responsive biomimetic platform (WCNx‐Rh2) is developed and integrates glucose degradation, immune modulation, and antibacterial defense through a designed heterojunction and screened immunomodulator. WCNx‐Rh2 reduces AGEs/ROS and inflammatory signaling, reprogramming dendritic cells
Mengzhen Zhao, Zhibin Zhou, Yuxuan Wei, Xiangfan Huang, Zhiyong Zhou, Jiaheng Chen, Haoxin Cheng, Xiaotian Hu, Xiaolei Wang   +8 more
wiley   +1 more source

A Bright Ratiometric Dipyrene Probe for Functional Imaging of Condensate Microenvironments in Living Cells

Advanced Science, EarlyView.
Ratiometric dipyrene imaging resolves monomer (M) and excimer (E) channels and computes pixel‐wise E/M maps within biomolecular condensates, yielding physicochemical fingerprints shaped by coupled polarity‐related solvation and microviscosity. These spatial fingerprints enable quantitative phenotyping of cellular states, exemplified by separation of ...
Koki Matsumoto, Sora Kitai, Yoshio Nishiyama, Shogo Amemori, Kei Makiyama, Dini Kurnia Ikliptikawati, Kentaro Ohira, Yuta Kozuka, Maho Tobita, Shih‐Cheng Chen, Chien‐Hung Yu, Wei‐Min Liu, De‐Chen Lin, Motohiro Mizuno, Kazuma Ogawa, Koichi Ogami, Kenji Takahashi, Hiroshi I. Suzuki, Richard W. Wong, Takahiro Soeta, Masaharu Hazawa   +20 more
wiley   +1 more source

An Efficient Detection Platform Based on Mesoporous Au@Cr2O3 Particles with Schwarz P Surface for Precise Periodontitis Metabolite Profiling

Advanced Science, EarlyView.
A non‐invasive periodontitis diagnosis platform was developed using Au nanoparticles‐decorated mesoporous Cr2O3 (Au@mCr2O3) particles with Schwarz P surface as matrix for saliva metabolic fingerprinting (SMFs) analysis via MALDI‐MS. With the assistance of machine learning of SMFs, this platform enables efficient diagnosis and the screening of potential
Yue Sun, Yan Wang, Fangying Shi, Wenhe Xie, Yiding Zhang, Heyuhan Zhang, Chunhui Deng, Limin Wu, Meihua Chen, Yonghui Deng   +9 more
wiley   +1 more source