Results 91 to 100 of about 11,358 (236)

Rural Labor Supply and Economic Opportunities: Commuting, Migration, Tariffs, and Immigration

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Some rural counties remain dependent on agricultural or manufacturing jobs, but an increasing proportion have diversified economics. Rural counties also differ in their abilities to commute to an urban market characterized by higher wages and labor productivity.
Peter F. Orazem, Mary C. Ahearn
wiley   +1 more source

Effectiveness of the Pasture, Rangeland, and Forage Rainfall Index (PRF‐RI) Program: Interval Selections With Uniform Premium Subsidy Rates

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study examines interval selection in the Pasture, Rangeland, and Forage Rainfall Index (PRF‐RI) program and evaluates how uniform premium subsidy rates affect optimal interval selections. Using South Dakota as a case study, we show a trend of increasing selection of nonproduction intervals from 2013 to 2024, raising concerns about program
Whoi Cho, Matthew Diersen
wiley   +1 more source

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

Fuzzy Classification to Classify the Income Category Based On Entropy

open access: yesJournal of Computer Science and Technology, 2011
The classification problem is one of the main issues in data mining because it aims to extract a classifier which can be used to predict the classes of objects whose class table are unknown.
Vaiyapuri Srinivasan   +3 more
doaj  

Human interaction: Dissipative structure and will to power

open access: yesRevista de Ciencias Sociales
The main theme of this work is the relationship between entropy and the concept of the will to power, aiming to offer a perspective on the transformation of reality based on the relationship between science and philosophy.
Juan Fernando Montoya Carvajal   +2 more
doaj   +1 more source

Exploring Symptom Domains of Postoperative Bowel Dysfunction by Integrating LARS and Wexner Scores: A Longitudinal Factor‐Analytic Study

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Item‐level factor analysis of the LARS and Wexner scores in 320 patients undergoing sphincter‐preserving rectal resection identified three distinct symptom domains: incontinence, urgency/clustering, and gas control. These domains had different clinical determinants: radiotherapy was associated with greater severity of both incontinence and urgency ...
Yoshiko Matsumoto   +8 more
wiley   +1 more source

Learning regime‐dependent governing equations: A symbolic decision tree approach

open access: yesAIChE Journal, EarlyView.
Abstract Many chemical engineering systems are governed by mechanisms that switch across operating regimes, making the data‐driven discovery of regime‐dependent governing equations essential for predictive modeling, optimization, and control. We propose symbolic decision trees for the data‐driven discovery of regime‐dependent governing equations.
Ilias Mitrai   +2 more
wiley   +1 more source

Conditional Logics and Entropy

open access: yes, 1996
The principles of maximum entropy and of minimum cross-entropy (ME-principles) provide an elegant and reasonable tool to represent quantified uncertainties within a probabilistic framework. The results the application of these principles yield are not only well-behaved in a statistical sense but prove to be inferentially sound.
openaire   +1 more source

Machine learning–driven design of catalytic processes for sulfur dioxide oxidation: Lessons from the trenches

open access: yesAIChE Journal, EarlyView.
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin   +2 more
wiley   +1 more source

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