Results 171 to 180 of about 114,846 (298)

Cloud-Resolving Modeling: ARM and the GCSS Story

Meteorological Monographs, 2016
Steven K. Krueger, Hugh Morrison, Ann M. Fridlind   +2 more
openaire   +1 more source

A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application

Advanced Science, EarlyView.
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu, Weize Xu, Da Lin, Leqiang Sun, Jinxia Dai, Gang Cao   +5 more
wiley   +1 more source

Cloud Properties Simulated by a Single-Column Model. Part II: Evaluation of Cumulus Detrainment and Ice-phase Microphysics Using a Cloud Resolving Model [PDF]

This paper is the second in a series in which kilometer-scale-resolving observations from the Atmospheric Radiation Measurement program and a cloud-resolving model (CRM) are used to evaluate the single-column model (SCM) version of the National Centers ...
Krueger, Steven K., Luo, Yali, Xu, Kuan-Man   +2 more
core   +1 more source

Liquid Metal Nanotransformers for Drug‐Resistant Pan‐Cancer Therapy in Patient‐Derived Organoids

Advanced Science, EarlyView.
Pan‐cancer therapies are severely limited in drug‐resistance patients due to genetic mutations and other factors, resulting in poor therapeutic outcomes and constrained clinical benefit. Liquid metal nanotransformers, a new class of shape‐transformable nanomaterials capable of dramatic morphological changes, offer a promising physical strategy to ...
Xiaojie Yuan, Xuelin Wang, Zhongyao Chen, Shuo Wang, Weining Gao, Ziyi Chen, Runyang Li, Cheng Hao, Lei Zhang, Qiongqiong Zhang, Ke Zhang, Mei Yu, Qian Liu, Jingxuan Wang, Huiping Li, Simpkins Fiona, Jing Liu, Qiang Liu, Peng Liu, Yawei Hu   +19 more
wiley   +1 more source

Endoplasmic Reticulum Geometry Dictates Neuronal Bursting via Calcium Store Refill Rates and Exposes Selective Neuronal Vulnerability

Advanced Science, EarlyView.
The ER's continuous tubular network is maintained by ER‐shaping proteins whose mutation or dysregulation contributes to neurodegenerative diseases. Here, we show that ER morphology sets the speed of Ca2+ store replenishment between firing events. Disrupting ER continuity slows intra‐ER Ca2+ redistribution from extracellular refill (SOCE) sites, driving
Valentina Davi, Pierre Parutto, Yuyi Zhang, Tasuku Konno, Cecile Crapart, Raquel Pereira, John P. Franklin, Mosab Ali Awadelkareem, Daniel C Maddison, Michael J. Devine, Edgar R. Gomes, Joseph Chambers, Elena Koslover, Edward Avezov   +13 more
wiley   +1 more source

Km-scale coupled simulation and model-observation SST trend discrepancy. [PDF]

Proc Natl Acad Sci U S A
Kang SM, Putrasahan DA, Brizuela NG, Haak H, Kröger J, Marotzke J, Stevens B, von Storch JS.   +7 more
europepmc   +1 more source

Hepatocyte BDNF Acts as a Novel Immune Checkpoint to Restrain TLR4‐Mediated Acute Hepatitis

Advanced Science, EarlyView.
This study identifies hepatocyte‐derived BDNF as an endogenous TLR4 antagonist that alleviates acute hepatitis. BDNF is downregulated in hepatocytes via REST‐mediated transcriptional repression during ALI/ALF. Mechanistically, BDNF binds to TLR4 on macrophages to suppress inflammation.
Weiwei Zhu, Yaqian Cui, Yongqiang Zhou, Yihui Zheng, Lijiang Huang, Leiming Jin, Qianhui Zhang, Pan Chen, Mengsha Lin, Jiaxi Ye, Yongqiang Xiong, Joo Young Huh, Xiang Hu, Xiaokun Li, Wu Luo, Guang Liang   +15 more
wiley   +1 more source

Vertical motions in clouds from EarthCare satellite and a global storm-resolving modeling. [PDF]

Sci Rep
Roh W, Satoh M, Matsugishi S, Aoki S, Kubota T, Okamoto H.   +5 more
europepmc   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Neural general circulation models for modeling precipitation. [PDF]

Sci Adv
Yuval J, Langmore I, Kochkov D, Hoyer S.
europepmc   +1 more source