Results 231 to 240 of about 581,390 (314)

Introgressed Variation in TaMYB7‐A1 Drives Graded Dormancy and Climate‐Adaptive Pre‐Harvest Sprouting Resistance in Wheat

Advanced Science, EarlyView.
TaMYB7‐A1 directly activates TaABI5 to enhance ABA signaling and regulate ABA‐GA homeostasis, enforcing seed dormancy. Its superior allele, derived from wild einkorn introgression, harbors a MITE insertion that elevates expression and two amino acid substitutions that enhance transcriptional activity, collectively generating graded PHS resistance for ...
Hao Wang, Dongzhi Wang, Yafei Guo, Qi Zheng, Min Zhang, James Simmonds, Jian Hou, Xuemei Liu, Xuelei Lin, Xiaomin Bie, Xiansheng Zhang, Xiaohui Li, Yuan Chen, Xueyong Zhang, Cristobal Uauy, Fei Lu, Chengcai Chu, Zhixi Tian, Jun Xiao   +18 more
wiley   +1 more source

Validation of Integrated Periphyton Technology in Mixed Sex Culture of Giant Freshwater Prawn, <i>Macrobrachium Rosenbergii</i>: Insights into Impact of Heterogenous Independent Differentiation and Gender on Growth Dynamics in Grow Out. [PDF]

Trop Life Sci Res
Marioni D, Kasan NA, Jung LH, Rosas VT, Vethamony P, Al-Khayat JA, Ikhwanuddin M.   +6 more
europepmc   +1 more source

Copper Depletion Nanoparticles Potentiate Cancer Immunotherapy by Avoiding Innate and Adaptive Immune Resistance

Advanced Science, EarlyView.
A mitochondria‐targeted copper depletion nanoplatform (CYN‐CDA@Alb) was developed to selectively disrupt tumor mitochondria copper, which then reprogrammed the tumor immune microenvironment by depressing PD‐L1 and CD47 expression simultaneously. By doing this, CYN‐CDA@Alb reversed radiotherapy‐induced immune tolerance, showing the potential usage of ...
Zaigang Zhou, Ke Li, Xuelan Li, Lei Yi, Zhengxiang Wang, Huan Ding, Sheng Wu, Feiyu Liu, Yuan Li, Rui Cheng, Jianliang Shen   +10 more
wiley   +1 more source

A novel low-protein diet feeding strategy with reduced amylose/amylopectin ratio: effects on growth performance, gut health, and behaviour in nursery pigs. [PDF]

Vet Anim Sci
Lee J, Correa F, Laghi L, Bencivenni S, Bigi D, Biagi G, Palumbo F, Trevisi P, Luise D.   +8 more
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Dietary flavor supplementation enhanced growth performance and alleviated diarrhea of weaned pigs by modulating gut microbiota and systemic immunity. [PDF]

J Anim Sci Technol
Kyoung H, Kim S, Cho JH, Choe J, Ahn J, Nam J, Kang Y, Kim Y, Kim HB, Song M.   +9 more
europepmc   +1 more source

Tuning Defects in Ni‐Doped Maghemite for Enhanced Solar Driven Oxygen Evolution: Insights From Operando X‐Ray Spectroscopies

Advanced Science, EarlyView.
ABSTRACT Maghemite (γ$\gamma$‐Fe2${\rm Fe}_2$O3${\rm O}_{3}$) is a promising non‐precious‐metal‐containing photocatalyst for water oxidation (OER). Despite being less studied than Hematite, it offers similar corrosion resistance and a favorable band structure, along with higher conductivity and the advantage of an adaptable spinel structure.
Francesco Paparoni, Hélène Magnan, Antoine Barbier, Andrea Zitolo, AndreaDi Cicco, Javad Rezvani, Emiliano Fonda   +6 more
wiley   +1 more source

Effects of added folic acid on growth performance, short chain fatty acid concentrations, and serum homocysteine concentrations in nursery pigs. [PDF]

Transl Anim Sci
Becker LL, Arroyave J, Gebhardt JT, Tokach MD, Woodworth JC, Goodband RD, DeRouchey JM.   +6 more
europepmc   +1 more source

2002/03 childcare and early years workforce survey : primary schools with reception but no nursery classes [PDF]

, 2004

core  

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source