Results 71 to 80 of about 8,997,986 (208)
ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa +1 more
wiley +1 more source
30 year class book : Class of 1906.
30 year class book, Class of 1906, Lehigh University. Pottstown, (Pa.) : The Feroe press 1936. 90 p. : ill., port.
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Protection Motivation Theory and Farmers' Participation in Futures Markets: Evidence From Germany
ABSTRACT This study examines why German farmers show limited adoption of commodity futures contracts despite substantial price volatility, applying Protection Motivation Theory (PMT) to understand the cognitive processes driving participation decisions in futures markets. Survey data from 303 German farmers collected in 2024 were analyzed using Partial
Hendrik Wever +2 more
wiley +1 more source
The New Jersey Library Class : a record of the work of the Class from October 1904 to May 1907.
Includes class roster.Mode of access ...
New Jersey Library Class.
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Recension av Coles, Nicholas and Paul Lauter, eds. (2017) A History of American Working-Class Literature, Cambridge University Press Cambridge, UKReview of Coles, Nicholas and Paul Lauter, eds.
Nilsson, Magnus +3 more
core +1 more source
Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang +4 more
wiley +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source
Rhenium‐Based β‐Galactosidase Probe Allows Senescence Profiling by Mass Cytometry
Senescence‐associated β‐galactosidase (SA‐β‐Gal) activity is a widely accepted biomarker of cellular senescence, yet its integration with other senescence markers has been limited by available detection methods. Here, we introduce ReGal, a mass cytometry‐compatible SA‐β‐Gal activity probe that can be multiplexed with established markers of senescence ...
Adam Tam +4 more
wiley +2 more sources

