Results 161 to 170 of about 130,381 (227)

Regression approaches for modeling genotype-environment interaction and making predictions into unseen environments. [PDF]

Theor Appl Genet
Hrachov M, Piepho HP, Rahman NMF, Malik WA.   +3 more
europepmc   +1 more source

Maize Anther Development Involves Translated Open Reading Frames From 3′ Untranslated Regions

Advanced Science, EarlyView.
This study examined the translation activity across ten stages of maize anther development, integrating transcriptome and small‐peptide data. It linked mutations in translated 3' ORFs to anther sterility, exemplified by Zm00001eb417050_3' ORF (known as APV1). In addition, the data indicated that maize anthers could assimilate CO2 through the stomata in
Chunyu Wang, Yuechao Wu, Shunxi Wang, Han Liu, Siqi Jiang, Yingjia Han, Liuji Wu, Tao Zhang, Mei Zhang   +8 more
wiley   +1 more source

Integrated metabolomic and transcriptomic analyses reveal that starch and sucrose metabolism regulate maize kernel hardness. [PDF]

Front Plant Sci
Zhou H, Xie X, Xie H, Qin L, Xie Y, Yang X, Zhou B, He J, Wang B, Shi C, Lv J, Tan X, Zhou J, Cheng W, Jiang Y.   +14 more
europepmc   +1 more source

Redefining the Health Risk of Battery Materials Through a Biologically Transformed Metal Mixture

Advanced Science, EarlyView.
Inhaled NCM particles undergo lysosomal degradation, releasing complex ion mixtures that induce systemic impact. The impact is determined by a critical balance between antagonistic Ni‐Co interactions and synergistic Mn effects. To capture these complexities in risk assessment, we develop an IAI model, ensuring a more accurate quantitative risk ...
Ze Zhang, Gan Miao, Xueyu Zhang, Zhao Shu, Dawei Lu, Yujie Song, Shanfa Yu, Qian Liu, Yang Song, Rong Zhang, Xiaoting Jin, Yuxin Zheng   +11 more
wiley   +1 more source

Hierarchical friction memory leads to subdiffusive configurational dynamics of fast-folding proteins. [PDF]

Proc Natl Acad Sci U S A
Klimek A, Dalton BA, Tepper L, Netz RR.
europepmc   +1 more source

Transcriptomic and Neuroimaging Decoding of Brain‐Immune Crosstalk in Thyroid Eye Disease

Advanced Science, EarlyView.
This study employed an imaging transcriptomics framework integrating resting‐state fMRI with Allen Human Brain Atlas transcriptomic data, coupled with peripheral blood RNA sequencing, to decode brain‐immune crosstalk in thyroid eye disease. Frontal, parietal, subcortical, and brainstem regions were identified as key neuroimmune‐ vulnerable regions ...
Haiyang Zhang, Yuting Liu, Shufan Jiang, Zilin Fang, Mengda Jiang, Xiaofeng Tao, Tianyi Zhu, Jipeng Li, Sijie Fang, Xuefei Song, Yinwei Li, Jing Sun, Chuanjun Tong, Zhengrun Gao, Huifang Zhou, Xianqun Fan   +15 more
wiley   +1 more source

Transactivation of AGPL2 by Opaque2 is responsible for starch accumulation and kernel hardness in sweet corn. [PDF]

J Exp Bot
Chen J, Wang B, Chen X, Zhang X, Lu H, Lv X, Lv G, Fang R.   +7 more
europepmc   +1 more source

Water‐Assisted Exfoliation of HfO2‐Based Membrane for Flexible Robust Ferroelectric Synaptic Transistors

Advanced Science, EarlyView.
A flexible freestanding HfO2‐based ferroelectric membrane is achieved via a water‐assisted exfoliation technique using a Sr4Al2O₇ sacrificial layer. The BaTiO3/Hf0.5Zr0.5O2/BaTiO3 heterostructure maintains robust ferroelectricity and exhibits reliable synaptic plasticity.
Han Zhang, Miao Zeng, Jingxin Chen, Lei Wang, Sai Jiang, Qian Cao, Xuebo Li, Zekun Hou, Chun Shen, Yulin Gan, Ning Fang, Zhaoliang Liao, Ziyao Zhou, Lin Hao   +13 more
wiley   +1 more source

Optimizing biomass partitioning in wheat using UAV-based hyperspectral phenomic and genomic prediction: kernel-based and machine learning approaches. [PDF]

Front Plant Sci
Kunwar S, Babar MA, Jarquin D, Ampatzidis Y, Khan N, Acharya JP, McBreen J, Adewale S, Brown-Guedira G.   +8 more
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source