0000000001301813
AUTHOR
Konstantin Bob
Evaluating the microscopic effect of brushing stone tools as a cleaning procedure
Cleaning stone tool surfaces is a common procedure in lithic studies. The first step widely applied at any archeological site (and/or at field laboratories) is the gross removal of sediment from the surfaces of artifacts. Lithic surface alterations due to mechanical action applied in wet or dry cleaning regimes have never been examined at a microscopic scale. This could have important implications in traceology, as any modern surface modifications inflicted on archeological artifacts might compromise their functional interpretations. The current trend toward quantification of use-wear traces makes the testing even more important, as even slight, apparently invisible surface alterations migh…
CorCast: A Distributed Architecture for Bayesian Epidemic Nowcasting and its Application to District-Level SARS-CoV-2 Infection Numbers in Germany
Timely information on current infection numbers during an epidemic is of crucial importance for decision makers in politics, medicine, and businesses. As information about local infection risk can guide public policy as well as individual behavior, such as the wearing of personal protective equipment or voluntary social distancing, statistical models providing such insights should be transparent and reproducible as well as accurate. Fulfilling these requirements is drastically complicated by the large amounts of data generated during exponential growth of infection numbers, and by the complexity of common inference pipelines. Here, we present CorCast – a stable and scalable distributed arch…
Locality-sensitive hashing enables signal classification in high-throughput mass spectrometry raw data at scale
Mass spectrometry is an important experimental technique in the field of proteomics. However, analysis of certain mass spectrometry data faces a combination of two challenges: First, even a single experiment produces a large amount of multi-dimensional raw data and, second, signals of interest are not single peaks but patterns of peaks that span along the different dimensions. The rapidly growing amount of mass spectrometry data increases the demand for scalable solutions. Existing approaches for signal detection are usually not well suited for processing large amounts of data in parallel or rely on strong assumptions concerning the signals properties. In this study, it is shown that locali…
Polish is quantitatively different on quartzite flakes used on different worked materials.
Metrology has been successfully used in the last decade to quantify use-wear on stone tools. Such techniques have been mostly applied to fine-grained rocks (chert), while studies on coarse-grained raw materials have been relatively infrequent. In this study, confocal microscopy was employed to investigate polished surfaces on a coarse-grained lithology, quartzite. Wear originating from contact with five different worked materials were classified in a data-driven approach using machine learning. Two different classifiers, a decision tree and a support-vector machine, were used to assign the different textures to a worked material based on a selected number of parameters (Mean density of furr…
Evaluating the microscopic effect of brushing stone tools as a cleaning procedure [Python analysis]
This upload includes the following files related to the Python analysis: Raw data as a XLSX table (brushing_v2.xlsx), i.e. results from R Script #1 (see https://doi.org/10.5281/zenodo.3632517) Python script of the whole analysis (RunEveryParameter.py) Convenience script for running RunEveryParameter.py in background and logging all output (RunSingleParametesBash.sh) Log file for output of sampling from the model for each parameter in a loop (logAll.txt) Jupyter notebooks of the analysis run on epLsar as an example (Notebook_SingleParameter.inpyb) and of a summary of the whole analysis (Notebook_Overview.ipynb), plus associated HTML output files (*.html) For each parameter: Full samples of p…
Polish is quantitatively different on quartzite flakes used on different worked materials [ConfoMap analysis]
Each surface has been processed with two templates: 1) Extract two 50x50 µm sub-areas and extract topography layer from each sub-area. Export sub-areas as SUR files. File names start with "A35" or "VSH4". 2) Process all extracted sub-areas for quantitative analysis. File names start with "processing-quartzite-final". All ConfoMap templates are saved in MNT format (including all original and processed surfaces, as well as results). Each template has also been exported to a PDF file. Instructions to download all files at once are given here: https://doi.org/10.5281/zenodo.4011952 Additionally, the results of the second template are collated into "proce…
Evaluating the microscopic effect of brushing stone tools as a cleaning procedure [R analysis]
This upload includes the following files related to the R analysis: - Raw data as a CSV table (brushing_v2.csv), i.e. results from the ConfoMap analysis (see https://doi.org/10.5281/zenodo.3632490) - RStudio project (Brushing_project.Rproj) - R scripts as R Markdown files (*.Rmd) - Output from R scripts knitted to HTML files (*.html) - A text file containing the version of RStudio used (RStudioVersion.txt) Instructions to download all files at once are given here: https://doi.org/10.5281/zenodo.4011952
Polish is quantitatively different on quartzite flakes used on different worked materials [Python analysis]
This upload includes the following files related to the Python analysis: 1. Raw data as a XLSX table (processing-quartzite-final-2020-04-29.xlsx) is the output from R Script #1 (see https://doi.org/10.5281/zenodo.3979139), even though the filename is slightly different. Plus, for each analysis (full and restricted datasets), included in the corresponding ZIP archive: 2. Jupyter notebooks of the analysis (Classification_RandSplitFeature_Revision_VXX.ipynb) rendered to HTML file (Classification_RandSplitFeature_Revision_VXX.html) 3. Dataframe including the artificially filled datapoints 4. Output of the analysis as PDF: • Confusion matrices ("CM&qu…
Evaluating the microscopic effect of brushing stone tools as a cleaning procedure [ConfoMap analysis]
ConfoMap templates for each surface in MNT format (including all original and processed surfaces, as well as results). Each template has also been exported to a PDF file. Additionally, results are collated into 'brushing_v2.csv' Instructions to download all files at once are given here: https://doi.org/10.5281/zenodo.4011952
Polish is quantitatively different on quartzite flakes used on different worked materials [R analysis]
This upload includes the following files related to the R analysis: - Raw data as a CSV table (processing-quartzite-final.csv), i.e. results from the ConfoMap analysis (see https://doi.org/10.5281/zenodo.3979116) - RStudio project (Quantification quartzite final.Rproj) - R scripts as R Markdown files (*.Rmd) - R scripts knitted to HTML files (*.html) - An R script (RStudioVersion.R) to write the used version of RStudio to a text file (RStudioVersion.txt) - Output from script #1: processing-quartzite-final.Rbin and processing-quartzite-final.xlsx - Output from script #2: processing-quartzite-final_summary-stats.xlsx - Output from script #3: all plots as PDF files. Note that for running the s…