Results 21 to 30 of about 1,643 (192)
Foreign labor, peer‐networking and agricultural efficiency in the Italian dairy sector
Agribusiness, EarlyView.Abstract While the presence of immigrants in the agricultural sector is widely acknowledged, the empirical evidence on its economic consequences is lacking, especially from a microeconomic perspective. Using the Farm Accountancy Data Network panel data for Italian dairy farms in the period 2008–2018, the present study investigates the relationship ...
Federico Antonioli +2 more
wiley +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Angewandte Chemie, EarlyView.We report on a suitable approach to predict the chirality “strength” and efficacy of chirality transfer from chiral nanoshape solutes to an achiral discotic nematic (ND) liquid crystal solvent. Highly efficacious chirality transfer based on shape commensurability between nanoshape solute (in the form of gold nanodiscs, GNDs) and a ND solvent was ...
Gourab Acharjee +10 more
wiley +2 more sources
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Advanced Intelligent Discovery, EarlyView.Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Employee Heterogeneity and Within-Firm Experience-Earnings Profiles: A Nonparametric Analysis [PDF]
, 2006 Motivated by a priori uncertainty with respect to the parametric specification of the earnings function, I model the earnings function as semiparametric partially linear model and follow the estimation approach described in Robinson (1988). Using data
Campbell, Ross, Ross Campbell
core
Integrierte Modelle metabolischer und regulatorischer Netzwerke
, 2015 Two cellular subsystems are the metabolic network and the gene regulatory network. In systems biology they have mostly been modelled in isolation with ordinary differential equations (ODEs) or with tailored formalisms as e.g. constraint-based methods for
Palinkas, Aljoscha
core +1 more source
Advanced Intelligent Discovery, EarlyView.This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
, 2011 Nurse-to-patient ratios constitute a commonly used framework for discussing and implementing staffing policies. Indeed, the discourse on quality of care as it is affected by staffing levels is usually couched in terms of magnitude of the ratio.
core +1 more source