Results 161 to 170 of about 59,541 (256)

Integrating Spatial Proteogenomics in Cancer Research

Advanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang, Yang Wu, Feng Zhang, Parthiban Periasamy, Haiyue You, Denise Goh, Rachel Elizabeth Ann Fincham, Xin Ning, Danping Wu, Lu Liu, Ying Jiang, Zhiwen Qian, Joe Yeong, Yan Zhang   +13 more
wiley   +1 more source

Using the Sensible Heat Flux Eddy Covariance-Based Exchange Coefficient to Calculate Latent Heat Flux from Moisture Mean Gradients Over Snow. [PDF]

Boundary Layer Meteorol
González-Herrero S, Sigmund A, Haugeneder M, Hames O, Huwald H, Fiddes J, Lehning M.   +6 more
europepmc   +1 more source

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

Advanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao, Gaiqin Liu, Jingyi Xia, Runle Chen, Tong Wang, Xiaoling Yang, Ruiling Fang, Yanhong Luo, Ping Zeng, Hongmei Yu, Yanbo Zhang, Yuehua Cui   +11 more
wiley   +1 more source

Unsupervised Hierarchical Symbolic Regression for Interpretable Property Modeling in Complex Multi‐Variable Systems

Advanced Science, EarlyView.
UHSR translates complex chemical behavior into clear and explainable equations. Applied to thin‐layer chromatography, it automatically uncovers the mathematical rules linking a molecule's structure to its polarity. This approach matches the accuracy of advanced AI while providing interpretable results, earning greater trust from chemists. The method is
Siyu Lou, Chengchun Liu, Dongxiao Zhang, Yuntian Chen, Fanyang Mo   +4 more
wiley   +1 more source

Redox‐Active NiOx‐Catalyzed Li+ Capture‐Extraction Strategy for tBP‐Free Spiro‐OMeTAD Enables Exceptional Damp‐Heat Stability in Perovskite Solar Cells

Advanced Science, EarlyView.
The redox‐active nature of NiOx enables ultrafast oxidative doping of spiro‐OMeTAD within seconds. Concurrently, NiOx‐Li+ coordination complexes formed during this redox process are selectively removed by filtration, effectively extracting residual Li+ ions from the film.
Yun Seop Shin, Minjin Kim, Jaehwi Lee, Chang Hyeon Yoon, Jongdeuk Seo, Gyeong‐Cheon Choi, Sujung Park, Min Jung Sung, Kyungnan Son, Sungjun Hong, Inyoung Jeong, Junseop Byeon, Yimhyun Jo, Dongmin Lee, Minseong Kim, Shinuk Cho, Ji‐Youn Seo, Jin Young Kim, Dong Suk Kim, SeJin Ahn   +19 more
wiley   +1 more source

Phase Change Process in a Zigzag Plate Latent Heat Storage System during Melting and Solidification. [PDF]

Molecules, 2020
Mahani RB, Mohammed HI, Mahdi JM, Alamshahi F, Ghalambaz M, Talebizadehsardari P, Yaïci W.   +6 more
europepmc   +1 more source

Compensatory Interplay Between Clarin‐1 and Clarin‐2 Deafness‐Associated Proteins Governs Phenotypic Variability in Hearing

Advanced Science, EarlyView.
Functional compensation between clarin‐1 and clarin‐2 in cochlear hair cells. Hearing loss associated with CLRN1 mutations shows striking phenotypic variability; however, the underlying mechanisms remain poorly understood. This study reveals that clarin‐1 and clarin‐2 function cooperatively in cochlear hair cells to sustain mechanoelectrical ...
Maureen Wentling, Aïda Yakhlef Sanchez, Nicolas Thelen, Müge Senarisoy, Maria Hogg, Steven Condamine, Andrea Lelli, Emilia Wysocka, Pranav Patni, Sandrine Vitry, Kerem Yasin Yildizhan, Sébastien Le Gal, Sylvie Nouaille, Michael R. Bowl, Marc Thiry, Didier Dulon, Sedigheh Delmaghani, Aziz El‐Amraoui   +17 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Experimental Investigation on Mechanism of Latent Heat Reduction of Sodium Acetate Trihydrate Phase Change Materials. [PDF]

Materials (Basel), 2020
Wu L, Li J, Wang H, Zhang Y, Feng S, Guo Y, Zhao J, Wang X, Guo L.   +8 more
europepmc   +1 more source

Nanoparticle‐Mediated Immunometabolic‐Epigenetic Remodeling Enhances Schwann Cell‐Macrophage Interaction for Sciatic Nerve Regeneration

Advanced Science, EarlyView.
A biomimetic Prussian White nanoparticle (PW) is engineered to achieve long‐term local retention and orchestrate immunometabolic‐epigenetic remodeling for sciatic nerve regeneration. PW directly targets hexokinase 2 to suppress glycolysis, thereby elevating α‐ketoglutarate and driving Kdm4a/b‐mediated demethylation of H3K9me3.
Wenying Xu, Rongrong Wu, Zhicheng Liu, Hongyu Yan, Huan Zhang, Yuanyi Zheng, Xiaojun Cai   +6 more
wiley   +1 more source