Results 121 to 130 of about 431 (234)

Poverty Attributions and Voting Choices in the 2023 Swiss National Elections

open access: yesSwiss Political Science Review, EarlyView.
Abstract Is poverty a relevant issue for Swiss electoral politics and political behavior? In this paper we answer that question by showing that citizens’ agreement with different causal attributions of poverty matters for their voting decisions. Of highest relevance is the difference between an “individual blame” explanation (i.e., the poor are lazy ...
Lionel Marquis, Jessy Sparer
wiley   +1 more source

Modal verbs in South Asian online Englishes: must, (have) got to, have to and need to

open access: yesWorld Englishes, EarlyView.
Abstract This research article presents an analysis of four (semi‐)modals of necessity/obligation (must, (have) got to, have to and need to) in four CMC registers (comments, tweets, web forums and websites) originating from four South Asian countries (Bangladesh, India, Pakistan and Sri Lanka) along with the United Kingdom and United States.
Muhammad Shakir
wiley   +1 more source

Regime‐Dependent Nowcasting of the Austrian Economy

open access: yesJournal of Forecasting, Volume 45, Issue 4, Page 2078-2101, July 2026.
ABSTRACT We nowcast and forecast economic activity in Austria, namely, real gross domestic product (GDP), consumption, and investment, which are available at a quarterly frequency, using a preselected number of monthly indicators based on a combination of statistical procedures.
Jaroslava Hlouskova, Ines Fortin
wiley   +1 more source

Linking Climate and Demography to Predict Population Dynamics and Persistence Under Global Change. [PDF]

open access: yesEcol Lett
Williams JL   +17 more
europepmc   +1 more source

A Lie Bracket for the Momentum Kernel. [PDF]

open access: yesCommun Math Phys, 2023
Frost H, Mafra CR, Mason L.
europepmc   +1 more source

A Self‐Supervised Machine Learning Approach for the Estimation of Open‐Circuit Voltage Degradation in Photovoltaic Systems

open access: yesProgress in Photovoltaics: Research and Applications, Volume 34, Issue 7, Page 920-941, July 2026.
This study introduces a self‐supervised machine learning approach integrating physics‐based principles to estimate open‐circuit voltage ( voc) degradation in photovoltaic systems using SCADA data. By combining clustering and regression algorithms, our method detects performance deviations without labelled datasets. Results across three PV installations
Sandra Riaño   +4 more
wiley   +1 more source

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