ECoG timescales decrease during spatial attention. by Isabel Raposo (21615517)

“…Bottom: timescales significantly decrease during covert attention relative to the attend-out condition (two locations: <i>p</i> = 0.0244; four locations: <i>p</i> < 0.0001; mean ± SEM; whiskers indicate maximum and minimum; dots correspond to individual electrodes). …”

Binary comparison matrix of increasing and decreasing trends in fire density from summer to autumn and comparison of different cases of spatial overlap of these spatial trends. by Peyman Karami (5909264)

Tourism determinants’ marginal effects. by Sakar Hasan Hamza (20978818)

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Descriptive statistics from 2005 to 2018. by Sakar Hasan Hamza (20978818)

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Models 7 to 12: estimation results. by Sakar Hasan Hamza (20978818)

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Models 1 to 6: estimation results. by Sakar Hasan Hamza (20978818)

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Hausman test results. by Sakar Hasan Hamza (20978818)

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Variable’s construction. by Sakar Hasan Hamza (20978818)

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Moran’s I across countries. by Sakar Hasan Hamza (20978818)

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Raw dataset. by Sakar Hasan Hamza (20978818)

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Proportion of the increase (green) or decrease (red) in forest cover in areas with different fire recurrences in Africa, according to the Mann-Kendall test and statistically signif... by Oswaldo Maillard (20660661)

Covid Mzt. by Francisco Flores-de-Santiago (20391063)

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Table 1_Subjective spatial orientation discomfort is associated with decreased real-world spatial performance and lower cognitive function.docx by Johannes Gerb (10287758)

Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020). Percentages (%) of increases or decreases (%) based on the Mann-Kendall test and statistically significant (<i>p</i> < 0.05) and non-significant (p > 0.05) values. by Oswaldo Maillard (20660661)

Overview of the WeARTolerance program. by Ana Beato (20489933)

“…<div><p>The stigma surrounding mental health remains a significant barrier to help-seeking and well-being in youth populations. …”

We compared the Fugl-Meyer (FMA) clinical assessment scores for individuals with stroke with their performance for each outcome measure. by Devin Sean Austin (20285144)

<i>Boro</i> rice yield (2002–2021) estimation utilizing MODIS data and a trained random forest model with 30 input variables having high importance. by Varun Tiwari (9258130)

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Accuracy of the random forest regression model with various input variables (all inputs vs. top 30 inputs). by Varun Tiwari (9258130)

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Mean uncertainty of <i>boro</i> rice yields estimated by random forest model from 2002–2021. by Varun Tiwari (9258130)

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Random forest top 30 variable importance utilizing all input variables, including the MODIS bands, spectral indices, and land surface temperature. by Varun Tiwari (9258130)

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