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Cybersecurity in Cyber–Physical Power Systems

Luiz F. R. Monteiro, Yuri Reis Rodrigues, Antônio Carlos Zambroni de Souza • Energies (2023)

The current energy transition combined with the modernization of power systems has provided meaningful transformations in the transmission, distribution, operation, planning, monitoring, and control of power systems. These advancements are ...

OPENALEX cc-by DOI: https://doi.org/10.3390/en16124556

Dynamic analysis of the economic effects of population structural changes in the coming decades of Iran (with emphasis on the role of women)

Omran Gheisar, Sima Eskandari Sabzi, ali salmanpour, Seyed Yosef Hajiasghari • زن در توسعه و سیاست (2024)

The trend of population growth in the last three decades will cause extensive changes in the age structure of Iran's population. So that it can be one of the most important challenges of the country in the coming decades. This development w...

DOAJ Open Access (DOAJ) DOI: 10.22059/jwdp.2023.362558.1008358

Consumo de energia, emissões de co2 e a geração de renda e emprego no agronegócio brasileiro: uma análise insumo–produto

Marco Antonio Montoya, Cássia Aparecida Pasqual, Ricardo Luis Lopes, Joaquim José Martins Guilhoto • Economia Aplicada (2016)

The article evaluates the structure of Brazilian agribusiness in their components such as income, employment, sectorial energy consumption, and CO2 emissions. An energy matrix with 56 consumer sectors compatible with the 56 sectors of Brazi...

DOAJ Open Access (DOAJ) DOI: 10.11606/1413-8050/ea134600

Practical Employment of Granular Computing to Complex Application Layer Cyberattack Detection

Rafał Kozik, Marek Pawlicki, Michał Choraś, Witold Pedrycz • Complexity (2019)

Network and information security are regarded as some of the most pressing problems of contemporary economy, affecting both individual citizens and entire societies, making them a highlight for homeland security. Innovative approaches to ha...

DOAJ Open Access (DOAJ) DOI: 10.1155/2019/5826737

Human factors in cybersecurity; examining the link between Internet addiction, impulsivity, attitudes towards cybersecurity, and risky cybersecurity behaviours

Lee Hadlington • Heliyon (2017)

The present study explored the relationship between risky cybersecurity behaviours, attitudes towards cybersecurity in a business environment, Internet addiction, and impulsivity. 538 participants in part-time or full-time employment in the...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.heliyon.2017.e00346 PMC: 5501883

Drinking patterns and alcohol use disorders in São Paulo, Brazil: the role of neighborhood social deprivation and socioeconomic status.

Camila Magalhães Silveira, Erica Rosanna Siu, James C Anthony, Luis Paulo Saito et al. • PLoS ONE (2014)

Research conducted in high-income countries has investigated influences of socioeconomic inequalities on drinking outcomes such as alcohol use disorders (AUD), however, associations between area-level neighborhood social deprivation (NSD) a...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pone.0108355

Economic Activity Forecasting Based on the Sentiment Analysis of News

Mantas Lukauskas, Vaida Pilinkienė, Jurgita Bruneckienė, Alina Stundžienė et al. • Mathematics (2022)

The outbreak of war and the earlier and ongoing COVID-19 pandemic determined the need for real-time monitoring of economic activity. The economic activity of a country can be defined in different ways. Most often, the country’s economic act...

DOAJ Open Access (DOAJ) DOI: 10.3390/math10193461

Transformer-Based Abstractive Summarization for Reddit and Twitter: Single Posts vs. Comment Pools in Three Languages

Ivan S. Blekanov, Nikita Tarasov, Svetlana S. Bodrunova • Future Internet (2022)

Abstractive summarization is a technique that allows for extracting condensed meanings from long texts, with a variety of potential practical applications. Nonetheless, today’s abstractive summarization research is limited to testing the mo...

DOAJ Open Access (DOAJ) DOI: 10.3390/fi14030069

THE NORTHERN LABOR MARKET IN A RESOURCE-BASED REGIONAL ECONOMY: THE CASE OF THE KHANTY-MANSIYSK AUTONOMOUS OKRUG—YUGRA

Alexander V. Prokopev, Nadezhda V. Puchkova, Natalya V. Timofeeva, Anna V. Simakova et al. • Север и рынок: формирование экономического порядка (2025)

This study examines the labor market of the Khanty-Mansi Autonomous Okrug–Yugra. The relevance of the research stems from the region’s strong dependence on natural resource reserves and production volumes, driven by the dominance of the min...

DOAJ Open Access (DOAJ) DOI: 10.37614/2220-802X.4.2025.90.004

Face mask mandates alter major determinants of adherence to protective health behaviours in Australia

Matthew Ryan, Jinjing Ye, Justin Sexton, Roslyn I. Hickson et al. • Royal Society Open Science (2025)

Face mask wearing is a protective health behaviour that helps mitigate the spread of infectious diseases such as influenza and COVID-19. Understanding predictors of face mask wearing can help refine public health messaging and policy in fut...

DOAJ Open Access (DOAJ) DOI: 10.1098/rsos.241941

From Causes to Forecasts: Granger Causality and Machine Learning Predictions of Housing Sales in Türkiye

Musa Gün, Ahmet Akusta, Haydar Karadağ • İstanbul İktisat Dergisi (2025)

This study aims to examine the impact of macro-financial indicators on the housing sales volume in Türkiye and evaluate the forecasting performance of traditional time-series models versus modern machine-learning algorithms. Using monthly d...

DOAJ Open Access (DOAJ) DOI: 10.26650/ISTJECON2025-1707729

Artificial Intelligence and Big Data in Public Health

Kurt K. Benke, Geza Benke • International Journal of Environmental Research and Public Health (2018)

Artificial intelligence and automation are topics dominating global discussions on the future of professional employment, societal change, and economic performance. In this paper, we describe fundamental concepts underlying AI and Big Data ...

OPENALEX cc-by DOI: https://doi.org/10.3390/ijerph15122796 PMC: 6313588

Bridging the Education–Employment Gap in Europe: An AI-Driven Approach to Skill Matching

Ramón Sanguino, Nilgün Çağlarırmak Uslu, Pınar Karahan-Dursun, Caner Özdemir et al. • World (2025)

Education–employment mismatch represents a persistent structural issue across Europe, especially among young people. In line with the digital transformation, green transformation and population aging, new jobs are emerging every day, and so...

DOAJ Open Access (DOAJ) DOI: 10.3390/world6040143

Occupational exposures, complementarity and the potential consequences of A.I. for the labour market: some evidence from Ireland

Harry Williamson, Dermot Coates, Kevin Daly, Keith FitzGerald et al. • Journal for Labour Market Research (2025)

Abstract The adoption of AI technology by industry could significantly disrupt our current understanding of “typical” economic activity. As AI comes to pervade more sectors and occupations over time, it is likely that this technology will g...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12651-025-00418-w

Artificial Intelligence, Automation and Work

Daron Acemoğlu, Pascual Restrepo • National Bureau of Economic Research (2018)

We summarize a framework for the study of the implications of automation and AI on the demand for labor, wages, and employment.Our task-based framework emphasizes the displacement effect that automation creates as machines and AI replace la...

OPENALEX Open Access DOI: https://doi.org/10.3386/w24196

Artificial intelligence and employment

Alexandre Georgieff, Raphaela Hyee • OECD social employment and migration working papers (2021)

Recent years have seen impressive advances in artificial intelligence (AI) and this has stoked renewed concern about the impact of technological progress on the labour market, including on worker displacement. This paper looks at the possib...

OPENALEX DOI: https://doi.org/10.1787/c2c1d276-en

Economic Policy for Artificial Intelligence

Ajay K. Agrawal, Joshua S. Gans, Avi Goldfarb B • Innovation Policy and the Economy (2018)

Recent progress in artificial intelligence (AI)—a general purpose technology affecting many industries—has been focused on advances in machine learning, which we recast as a quality-adjusted drop in the price of prediction. How will this sh...

OPENALEX DOI: https://doi.org/10.1086/699935