Results 171 to 180 of about 251,693 (300)

Machine Learning‐Enhanced Analysis of Exosomal Surface Sialic Acid Using Surface‐Enhanced Raman Spectroscopy for Ovarian Cancer Diagnosis and Therapeutic Monitoring

Advanced Science, EarlyView.
Machine learning‐assisted surface‐enhanced Raman spectroscopy analysis of exosomal sialic acid for ovarian cancer diagnosis, as well as independent monitoring of exosomal sialic acid expression levels across different treatment periods, reveals a potential correlation with treatment response.
Lili Cong, Jiaqi Wang, Sijun Huang, Xiaxia Man, Yi Guo, Shuping Xu, Songling Zhang   +6 more
wiley   +1 more source

Optimizing patient flow logistics: strategic challenges, tactical solutions, and future directions. [PDF]

BMC Health Serv Res
Zamani H, Parvaresh F, Isfahani MN.
europepmc   +1 more source

Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries

Advanced Science, EarlyView.
While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang, Wenkai Wang, Zhenling Peng, Jianyi Yang   +3 more
wiley   +1 more source

Optimizing progeny size and number of crosses under genomic selection: insights into additive and epistatic contributions to long-term genetic gain. [PDF]

Theor Appl Genet
da Silva Viana J, DoVale JC, Fritsche-Neto R.   +2 more
europepmc   +1 more source

Bioenergy Cropping Reduces the Spatiotemporal Scaling of Soil Bacterial Biodiversity

Advanced Science, EarlyView.
Consistent with patterns observed in plant and animal communities, soil bacterial communities exhibit significant species–time–area and phylogenetic–time–area relationships independent of nested structure. Bioenergy cropping significantly reduces the spatiotemporal scaling rates, particularly in sandy loam soils.
Zhencheng Ye, Jialiang Kuang, Colin T. Bates, Arthur Escalas, Daliang Ning, Liyou Wu, Suo Liu, Sihang Deng, Jiesi Lei, Xiangwen Chen, Jennifer Pett‐Ridge, Malay Saha, Lauren Hale, Gangsheng Wang, Renmao Tian, Ying Fu, Yu Tang, Mary Firestone, Jizhong Zhou, Yunfeng Yang   +19 more
wiley   +1 more source

Deep learning linking mechanistic models to single-cell transcriptomics data reveals transcriptional bursting in response to DNA damage. [PDF]

Elife
Huang Z, Luo S, Wang Z, Zhang Z, Jiang B, Nie Q, Zhang J.   +6 more
europepmc   +1 more source

Noise Fingerprints as a Quantitative Order Parameter for Polarization‐ and Defect‐Mediated Switching in Hafnia Ferroelectrics

Advanced Science, EarlyView.
Low‐frequency noise fingerprints in hafnia ferroelectrics provide a quantitative handle to resolve the long‐standing debate between polarization‐mediated and defect‐mediated switching. By tuning oxygen vacancy density via ALD O3 dose time and applying a physically constrained deconvolution, we extract bias‐resolved current fractions for both mechanisms
Ryun‐Han Koo, Jiseong Im, Joon Hwang, Sung‐Ho Park, Jonghyun Ko, Kangwook Choi, Sangwoo Ryu, Gyuweon Jung, Jong‐Ho Lee   +8 more
wiley   +1 more source

Root triterpenoid metabolites drive the assembly and feedback regulation of the rhizosphere microbiome during flowering to senescence in <i>Rhododendron hybridum</i> 'Yangmeihong'. [PDF]

Front Microbiol
Shan F, Leng C, Xiao Y, Zhang X, Tang M, Yi Y, Tang J.   +6 more
europepmc   +1 more source

RIPK3 Orchestrates Scar‐Associated Macrophage Dysfunction to Drive Pulmonary Fibrosis

Advanced Science, EarlyView.
Beyond signaling cell death, RIPK3 emerges as a critical metabolic regulator in pulmonary fibrosis. This research reveals that RIPK3 promotes PI3K‐AKT signaling in scar‐associated macrophages to fuel polyamine synthesis, independent of its kinase activity.
Tao Yang, Xiao Li, Shuyue Lei, Qingqing Li, Yi Zhang, Zhizhen Hui, Jinjin Ren, Xuelian Yang, Xiaoqian Yang, Chunlan Feng, Yousheng Xu, Dongxin Zhao, Wei Tang   +12 more
wiley   +1 more source

Deciphering cell-fate trajectories using spatiotemporal single-cell transcriptomic data. [PDF]

NPJ Syst Biol Appl
Zhang Z, Wang Z, Sun Y, Shen J, Peng Q, Li T, Zhou P.   +6 more
europepmc   +1 more source