Results 131 to 140 of about 130,371 (190)

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

Prediction of <i>β</i>-thalassemia carrier using federated learning and explainable AI. [PDF]

Front Med (Lausanne)
Younas HA, Shoaib Khan B, Khan AH, Bilal A, Algarni A, Sarwar R, Mousavirad SJ.   +6 more
europepmc   +1 more source

Machine‐Learning‐Guided Design of Incommensurate Antiferroelectrics via Field‐Driven Phase Engineering

Advanced Science, EarlyView.
The key to enhancing the energy storage performance of antiferroelectrics lies in regulating the phase transition and reverse phase transition. A phase‐field‐machine learning framework is employed to predict the energy storage performance of Pb‐based incommensurate antiferroelectrics with multi‐scale regulation strategy, thereby revealing the dynamic ...
Ke Xu, Xiaoming Shi, Zhaochen Xi, Shouzhe Dong, Changqing Guo, Rongzhen Gao, Letao Yang, Jing Wang, Di Zhou, Houbing Huang   +9 more
wiley   +1 more source

Quantum Angle-distance kernel for ECG classification and anomaly detection: a quantum-inspired framework for biomedical signal analysis. [PDF]

BioData Min
Salehi A, Goudarzi HR, Heydarian A.
europepmc   +1 more source

Beyond the Non‐Hermitian Skin Effect: Scaling‐Controlled Topology from Exceptional‐Bound Bands

Advanced Science, EarlyView.
ABSTRACT We establish a novel mechanism for topological transitions in non‐Hermitian systems that are controlled by the system size. Based on a new paradigm known as exceptional‐bound (EB) band engineering, its mechanism hinges on the unique critical scaling behavior near an exceptional point, totally unrelated to the well‐known non‐Hermitian skin ...
Mengjie Yang, Ching Hua Lee
wiley   +1 more source

Predicting productive, health, and reproductive traits in Mexican Holstein cattle using single nucleotide polymorphisms, haplotypes, and runs of homozygosity. [PDF]

JDS Commun
Cortes-Hernández JG, Martinez-Boggio G, Peñagaricano F, Montaldo HH, Ruiz-López FJ, García-Ruiz A.   +5 more
europepmc   +1 more source