Results 181 to 190 of about 31,717 (264)

Dealcoholization of wine by pervaporation. [PDF]

open access: yesFood Chem X
Cândido R   +3 more
europepmc   +1 more source

Heterogeneity in Manufacturing Growth Risk

open access: yesJournal of Money, Credit and Banking, EarlyView.
Abstract We analyze differences in output growth risk with respect to financial conditions across U.S. manufacturing industries. Using a multilevel quantile regression approach, we find that industries exhibit heterogeneous increases of downside risk in times of tight financial conditions, while upside potential remains stable.
DAAN OPSCHOOR   +2 more
wiley   +1 more source

Beyond the Sober State: The Work of Drunkenness in British Bureaucracy

open access: yesSociology Lens, EarlyView.
ABSTRACT This article reports the drinking stories of British civil service clerical workers based at a large civil service office complex located in Newcastle upon Tyne between 1968 and 1993. It uses these stories to develop an account of state formation that takes seriously the place of joy, solidarity, contention, and exhaustion within public sector
Michael Vine
wiley   +1 more source

Make or Buy Decisions and Data Sharing

open access: yesThe Journal of Industrial Economics, EarlyView.
ABSTRACT Firms can share data to discover potential synergies between their data sets and algorithms, eventually leading to more efficient mergers and acquisitions (M&A) decisions. However, data sharing also modifies the competitive balance when firms do not merge, and a company may be reluctant to share data with potential rivals.
Antoine Dubus, Patrick Legros
wiley   +1 more source

Genetic diversity and trait associations in biofortified short-duration sweet potato (Ipomoea Batatas L.) genotypes. [PDF]

open access: yesBMC Plant Biol
Modak M   +6 more
europepmc   +1 more source

Moving Aggregate Modified Autoregressive Copula‐Based Time Series Models (MAGMAR‐Copulas)

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT Copula‐based time series models can model univariate and stationary time series in a flexible way by decomposing the joint distribution of consecutive observations into a copula and the stationary distribution. Implicitly, this approach assumes a finite Markov order. In reality, a time series may not follow the Markov property.
Sven Pappert
wiley   +1 more source

Vines

open access: yesThe Iowa Review, 1978
openaire   +1 more source

Home - About - Disclaimer - Privacy