Results 251 to 260 of about 3,336,689 (385)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Integrated Multi-Omics Reveals the Molecular Basis Underlying Wheat Grain Development and Identifies <i>TaYAK1-2D</i> as a Positive Grain Weight Regulator. [PDF]

Plants (Basel)
Xuan Y, Zhao L, Li Y, Guo S, Pan Y, Xue L, Qiao H, Xie W, Guo L, Zhang B, Zheng S, Liu X, Tang W, Zhou C, Wang L, Ji J, Li J, Liu H.   +17 more
europepmc   +1 more source

FEANEL: A Benchmark for Fine-Grained Error Analysis in K-12 English Writing [PDF]

Jingheng Ye, Shen Wang, Jiaqi Chen, Hebin Wang, D. Zou, Yingxin Zhu, Jiwei Tang, Hai-Tao Zheng, Ruitong Liu, Haoyang Li, Yanfeng Wang, Qingsong Wen   +11 more
openalex   +1 more source

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source

Grain Feeding Improves Yak Meat Tenderness and Lipid Deposition: Meat Quality, Amino Acid and Fatty Acid Profiles, Metabolomics, and Transcriptomics. [PDF]

Foods
Zou B, Yang Y, Zhou Y, Yang Y, Song W, Xie P, Zang M.   +6 more
europepmc   +1 more source

Supplementary file 1_Phenotypic and genetic characterization of sixteen grain and dual-type industrial hemp varieties (Cannabis sativa L.) for agronomic and yield component traits.docx

Kusum Raj Tamang (22460362), Thomas P. Mawhinney (12077512), Christian B. Carson (22460365), Joshua Yeboah Asiamah (21390437), Sakina Haruna Mahdi (21390440), Emily Reed (22460368), Swastika Sharma (22460371), Prabesh Koirala (21390449), Jaimin Patel (3257574), Clement Akotsen Mensah (22460374), Babu Valliyodan (131241)   +10 more
openalex   +1 more source

Thermal Phase‐Modulation of Thickness‐Dependent CVD‐Grown 2D In2Se3

Advanced Functional Materials, EarlyView.
A comprehensive study of CVD‐grown 2D In2Se3 reveals a distinct thickness‐dependent phase landscape and a reversible, thermally driven transformation between β″ and β* variants. In situ TEM electron diffraction and Raman spectroscopy reveal structural dynamics, while the structural invariance of the α‐phase in ultrathin regimes highlights its stability—
Dasun P. W. Guruge, Zhenhuan Chen, Joseph F. S. Fernando, Chao Zhang, Liangzhi Kou, Konstantin L. Firestein, Dmitri V. Golberg   +6 more
wiley   +1 more source

Process optimization of microwave drying for rice based on response surface methodology. [PDF]

PLoS One
Liu C, Chang K, Li J, Li J, Chen S, Jin Y, Zhang Z, Tang Z.   +7 more
europepmc   +1 more source

Improving Grain Iron Bioavailability in Bread Wheat Through Integrated Nitrogen and Iron Fertilization

Abia Younas, Muhammad Farooq, Sundas Waqar, IQRA GHAFOOR, Mehwish Makhdoom, Asma Parveen, M KASHIF, Muhammad Shahkar Uzair   +7 more
openalex   +2 more sources

Optimisation du bareme de torref action des graines d'arachides

, 2016
SYLLA, Abdoulaye
openalex   +1 more source