Results 71 to 80 of about 333,204 (306)

Discretionary power, rent-seeking and corruption. [PDF]

open access: yes
This article considers corruption as a breach of contract between a principal and an agent. This does not necessarily imply that corruption is immoral, for the nature of the violation actually depends on the features of the underlying contract.
Enrico Colombatto
core  

Fighting corruption in education: What works and who benefits? [PDF]

open access: yes, 2017
We investigate the distributional consequences of a corruption-fighting initiative in Romania targeting the endemic fraud in a high-stakes high school exit exam, which introduced CCTV monitoring of the exam and credible punishment threats for teachers ...
Andreea Mitrut   +3 more
core   +1 more source

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

Corrupting Learning: Evidence from Missing Federal Education Funds in Brazil [PDF]

open access: yes
While cross-country analysis suggests that corruption hinders economic growth, we have little evidence on the mechanisms that link corruption to long-run economic development. We provide micro-evidence on the consequences of corruption for the quality of
Claudio Ferraz   +2 more
core  

Corruption and Educational Outcomes: Two Steps Forward, One Step Back

open access: yesInternational Journal of Education Policy and Leadership, 2008
Corruption is a problem that continues to plague developed and developing countries worldwide. Previous studies have explored the negative implications of corruption on several aspects of human development, but, despite its serious and long-lasting ...
FRANCIS L. HUANG
doaj  

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

open access: yesAdvanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu   +4 more
wiley   +1 more source

Consequences of corruption

open access: yesМониторинг правоприменения, 2014
In his paper Consequences of Corruption the author tries to find answers to the questions why corruption is considered to be harmful and whether it is possible to measure its consequences. The author manages to show that corruption has truly damaging effects, especially in the economic and social area and that some of the corruption effects (on ...
openaire   +1 more source

Corruption and Productivity Growth in OECD Countries [PDF]

open access: yes
The study of corruption is attracting lot of attention in recent years. Focusing on the economic consequences of corruption, the empirical evidence points to a positive relation between institutional integrity, or absence of corruption, and economic ...
Javier Salinas-Jimenez   +1 more
core  

Corruption - a Relevant Factor in the International Economic Crisis [PDF]

open access: yesRisk in Contemporary Economy, 2012
Corruption is divided into small low-level corruption and high-level corruption. Small level little corruption is defined as the area of corruption which does not prejudice the interests of the majority of individuals.
George DIMOFTE   +2 more
doaj  

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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

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