Results 221 to 230 of about 615,736 (341)

The method of joint probability distribution functions applied to MAD techniques. The two-wavelength case for acentric crystals.

Acta Crystallographica Section A Foundations of Crystallography, 2001
C. Giacovazzo, D. Siliqi
semanticscholar   +1 more source

OCTN2 Activates a Non‐Canonical Carnitine Metabolic Pathway to Promote MASH‐HCC Progression and Immunotherapy Resistance

Advanced Science, EarlyView.
In non‐MASH‐HCC, L‐carnitine promotes tumor progression primarily through its classical role in enhancing fatty acid oxidation (FAO). However, in MASH‐HCC, where FAO is markedly suppressed, L‐carnitine shifts from this canonical function to serve instead as an intracellular acetyl group buffer.
Chuqi Xia, Xiao Zhang, Jinze Li, Ning Xu, Sheng Hu, Qiyu Lu, Yuxuan Li, Taifu Xiao, Xu Li, Xue Wang, Kequan Xu, Daoming Liang   +11 more
wiley   +1 more source

Joint Design of Hybrid Beamforming and Phase Shifts for IRS-Assisted Multi-User mmWave Systems. [PDF]

Sensors (Basel)
Zhang R, Wang Y.
europepmc   +1 more source

Joint Probability Distribution and the Minimum of a Set of Normalized Random Variables

, 2016
Noura Yassine
openalex   +1 more source

Compartmentalized Homeostasis Drives High Bamboo Forest Productivity under Nutrient Imbalance

Advanced Science, EarlyView.
This study reveals how Moso bamboo achieves high productivity despite nutrient‐poor soils. It employs a unique strategy, maintaining strict nutrient balance in its leaves while using woody tissues as flexible storage reservoirs. This compartmentalized mechanism buffers the plant from soil phosphorus limitation and microbial competition, resolving the ...
Zhikang Wang, Quan Li, Man Shi, Marcio F.A. Leite, Xinli Chen, Eiko E. Kuramae, Viviane Cordovez, Tingting Cao, Chenglei Zhu, Libin Zhou, Wenjuan Yu, Zhiyao Tang, Changhui Peng, Xinzhang Song   +13 more
wiley   +1 more source

Comparative Single‐Cell Transcriptomic Atlas Reveals the Genetic Regulation of Reproductive Traits

Advanced Science, EarlyView.
A cross‐species single‐cell transcriptomic atlas of reproductive and central nervous system tissues from sheep and humans reveals conserved cellular programs and regulatory networks that regulated fertility. Integration with GWAS for sheep lifetime average litter size identifies UNC5–SLIT–BMP signaling as a core pathway coordinating neuroendocrine ...
Bingru Zhao, Hanpeng Luo, Dailu Guan, Xuefeng Fu, Feng Wang, Guoming Zhang, Shanglai Li, Hua Yang, Yanli Zhang   +8 more
wiley   +1 more source

Multi-Model Ensembles in Infectious Disease and Public Health: Methods, Interpretation, and Implementation in R. [PDF]

Stat Med
Shandross L, Howerton E, Contamin L, Hochheiser H, Krystalli A, Consortium of Infectious Disease Modeling Hubs, Reich NG, Ray EL.   +7 more
europepmc   +1 more source

MR‐DELTAnet: A Longitudinal MRI‐Transformer Model Predicting Pathological Complete Response and Revealing Immune Microenvironment via scRNA‐seq in Locally Advanced Rectal Cancer

Advanced Science, EarlyView.
The MR‐DELTAnet model utilizes longitudinal MRI to predict treatment response after neoadjuvant chemoradiotherapy in locally rectal cancer patients, accurately identifying patients likely to achieve pathological complete response for personalized management.
Wuteng Cao, Huaxian Chen, Jiao Li, Yihui Zheng, Liqing Xie, Guozhong Xiao, Zeyan Wang, Fen Yuan, Junhong Chen, Chongbao Sun, Jing Dai, Jinping Zeng, Xinhua Wang, Lei Wu, Hongcheng Lin   +14 more
wiley   +1 more source

Interpretable weakly-supervised learning through kernel density matrices: A digital pathology use case. [PDF]

PLoS One
Medina S, Romero E, Cruz-Roa A, González FA.   +3 more
europepmc   +1 more source

CACLENS: A Multitask Deep Learning System for Enzyme Discovery

Advanced Science, EarlyView.
CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi, Yingzhu Tan, Huikang Lin, Guoqing Zhang, Ye Tian, Aibo Wu   +5 more
wiley   +1 more source