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This study presents a valuable in-depth comparison of statistical methods for the analysis of ecological time series data, and shows that different analyses can generate different conclusions, ...

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KillChainGraph predicts attack sequences using machine learning. Rather than just flagging individual suspicious events, it ...

This study identifies a proton-gated channel in centipede antennae that conducts monovalent cations through proton ...

Background Many observational studies highlight clonal haematopoiesis (CH) as a novel determinant of cardiovascular disease ...

The same immense AI processing power that, unchecked, could drive more bland brand marketing can also be harnessed to ...

Two-dimensional liquid chromatography (2D-LC) improves chromatographic performance, with LCxLC providing extensive ...

Once you’ve built a Pivot Table, turning it into a chart is almost too easy. Simply click anywhere inside the table, go to Insert > PivotChart, and select your preferred chart type. You’d even get a ...

Providers generate roughly 137 terabytes of data every day. Most of it is unstructured data, which can be hard to work with in healthcare if there is no data management plan in place. Brian Eastwood ...

Abstract: The joint classification of hyperspectral images (HSIs) and light detection and ranging (LiDAR) data have seen significant advancements in recent research. However, it would be more ...

Thanks for your job again！ I want to know how the 3M (stage 1.5) and 780k (stage 2) data in the reduced dataset are composed? Are they uniformly sampled from the full dataset?