Results 101 to 110 of about 24,720 (203)

Swedish farmers' approval of nudges

Agribusiness, EarlyView.
Abstract Interest in the use of behavioral policy approaches, such as nudges, has strongly increased over the past years, including in the domains of food, agricultural and environmental policies. While the approval of nudges among the general public has been studied extensively, we know little about the attitude of farmers toward nudging. Farmers may (
Liesbeth Colen, Leon Englberger, Jens Rommel   +2 more
wiley   +1 more source

Unveiling Weevil Diversity Drivers and Cryptic Species on the Qinghai-Xizang Plateau. [PDF]

Insects
Ren J, Xing J, Liu X, Zhang R.
europepmc   +1 more source

Necessary and sufficient conditions for exact closures of epidemic equations on configuration model networks. [PDF]

J Math Biol, 2023
Kiss IZ, Kenah E, Rempała GA.
europepmc   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

Paradoxical G-quadruplex distribution in coronavirus genomes reveals functional constraints and antiviral therapeutic opportunities. [PDF]

Virus Res
Tanigawa M, Iwaki T.
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Fast Bayesian Inference for Spatial Mean-Parameterized Conway-Maxwell-Poisson Models. [PDF]

J Comput Graph Stat
Kang B, Hughes J, Haran M.
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Hamiltonian Formulation and Aspects of Integrability of Generalised Hydrodynamics. [PDF]

Ann Henri Poincare
Bonnemain T, Caudrelier V, Doyon B.
europepmc   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source