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)

Introgression decreases allelic shuffling. by Enrique J. Schwarzkopf (6579275)

Why does task performance decrease with burst length? by Swathi Anil (17382903)

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)

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

Spatial distribution of the grand canal (East Zhejiang section)-maritime silk road cultural heritage. by Jie Li (15030)

Subjects:

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)

Sensitivity to small changes. by Ariel Burman (20329776)

Various natural factors and spatial distribution of the Grand Canal (East Zhejiang section)-Maritime Silk Road cultural heritage. by Jie Li (15030)

Subjects:

Madrasin decreases transcription of protein-coding genes. by Michael Tellier (8284752)

<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)

Subjects:

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

Subjects:

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

Subjects:

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

Subjects:

Fig 1 - by Varun Tiwari (9258130)

Subjects:

Fig 2 - by Varun Tiwari (9258130)

Subjects:

Indices calculated using MODIS bands (B1-B7) which were used to estimate <i>boro</i> rice yields, where MODIS bands relate to indices as follows: B1 = RED, B2 = NIR1, B3 = BLUE, B4... by Varun Tiwari (9258130)

Subjects:

Fig 7 - by Varun Tiwari (9258130)

Subjects:

A flow chart of the methodology applied to estimate <i>boro</i> rice yield in Bangladesh. by Varun Tiwari (9258130)

Subjects: