Results 91 to 100 of about 100,167 (272)

Falsification and refutation [PDF]

open access: yes
A scientific theory, according to Popper, can be legitimately saved from falsification by introducing an auxiliary hypothesis to generate new, falsifiable predictions.
Sfetcu, Nicolae
core  

Impact of Sustainable Agricultural Practices on Labor Use Among Rice Farmers in the Mekong Delta of Vietnam

open access: yesAgribusiness, EarlyView.
ABSTRACT The Mekong Delta (MKD), Vietnam has achieved high rice productivity through rapid intensification. However, this progress has led to environmental degradation and adverse economic and health effects. To mitigate these challenges, sustainable agricultural practices (SAPs) have been promoted.
Nguyen Thi Thu Hien   +5 more
wiley   +1 more source

Farmers’ Protests in Germany: Media Coverage and Types of Bias

open access: yesAgribusiness, EarlyView.
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley   +1 more source

The Role of Certifications in Improving Household Food Security Among Peruvian Farmers

open access: yesAgribusiness, EarlyView.
ABSTRACT Achieving global food security requires sustainable transformations in agri‐food systems. Voluntary Sustainability Standards (VSS) such as Organic and Fairtrade aim to internalize certain social and environmental costs while promoting more equitable value distribution, improved market access, and sustainable production practices.
Lisa‐Marie Schulte, Awudu Abdulai
wiley   +1 more source

Lüge, Fälschung, Plagiat. Über Formen und Verfahren prekärer Autorschaft

open access: yesCahiers d’Études Germaniques, 2014
This paper discusses falsification and plagiarism as special forms of literary fiction in which the poet’s lie – mostly accepted, sometimes socially praised – is revalorized spontaneously if the lie is brought to light.
Jörg Döring, David Oels
doaj   +1 more source

Induction and Deduction in Baysian Data Analysis [PDF]

open access: yes
The classical or frequentist approach to statistics (in which inference is centered on significance testing), is associated with a philosophy in which science is deductive and follows Popperis doctrine of falsification. In contrast, Bayesian inference is
Andrew Gelman
core  

Experimental validation of the RESPONSE framework against cyberattacks on cyber‐physical process systems

open access: yesAIChE Journal, EarlyView.
Abstract This work experimentally validates the RESPONSE (Resilient Process cONtrol SystEm) framework as a solution for maintaining safe, continuous operation of cyber‐physical process systems under cyberattacks. RESPONSE implements a dual‐loop architecture that runs a networked online controller in parallel with a hard‐isolated offline controller ...
Luyang Liu   +5 more
wiley   +1 more source

EX POST MORAL HAZARD IN CROP INSURANCE: COSTLY STATE VERIFICATION OR FALSIFICATION? [PDF]

open access: yes
This article examines the extent to which actual crop insurance indemnification behavior conforms to the theoretical predictions of two ex post moral hazard models costly state verification and costly state falsification.
Rejesus, Roderick M.
core   +1 more source

Falsification and Future Performance [PDF]

open access: yes, 2013
We information-theoretically reformulate two measures of capacity from statistical learning theory: empirical VC-entropy and empirical Rademacher complexity. We show these capacity measures count the number of hypotheses about a dataset that a learning algorithm falsifies when it finds the classifier in its repertoire minimizing empirical risk. It then
openaire   +3 more sources

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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