Results 151 to 160 of about 4,423,065 (298)

Constructing and Validating New County‐Level Cultural Capital Indices for Applied Policy Analysis: Evidence From SNAP Take‐Up

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Cultural capital influences a wide range of social and economic outcomes, yet quantitative measures suitable for policy analysis remain limited. We develop county‐level cultural capital indices for the US based on Bourdieu's framework of objectified, embodied, and institutionalized cultural capital.
Pratyoosh Kashyap   +2 more
wiley   +1 more source

Cultura tecnica, pratiche artistiche, architettura / Technical culture, artistic practices, architecture

open access: yes, 2013
Le relazioni fra pratiche artistiche e cultura tecnica individuano punti di contatto e reciproche implicazioni fra le sfere del “concepire” e del “fare”.
LOSASSO, MARIO ROSARIO
core  

Economic Impact of Sustainability in Wine Sector: A Systematic Literature Review

open access: yesAgribusiness, EarlyView.
ABSTRACT Sustainability has become a key issue in the wine sector, raising questions about its compatibility with firms' economic performance. Despite growing attention to environmental and social practices, evidence on their economic implications remains fragmented.
Valentina Di Chiara   +2 more
wiley   +1 more source

The main forms of folk artistic creativity [PDF]

open access: yes
Folk artistic culture is the historical basis on which world artistic culture developed and is developing, one of the forms of social consciousness and social activity, a socially determined phenomenon. Folk artistic culture is developing, in particular,
Musharova, S.
core   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer   +3 more
wiley   +1 more source

Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets

open access: yesAdvanced Intelligent Discovery, EarlyView.
An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh   +4 more
wiley   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

open access: yesAdvanced 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

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

open access: yesAdvanced Intelligent Discovery, EarlyView.
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha   +2 more
wiley   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

open access: yesAdvanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi   +2 more
wiley   +1 more source

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