Data_Sheet_1_THINGSvision: A Python Toolbox for Streamlining the Extraction of Activations From Deep Neural Networks.pdf by Lukas Muttenthaler (11466658)

“…THINGSvision is a new Python module that aims at closing this gap by providing a simple and unified tool for extracting layer activations for a wide range of pretrained and randomly-initialized neural network architectures, even for users with little to no programming experience. …”

Decision tree demonstrating how rubrics were used to classify notebooks in the final group activity. by Luíza Zuvanov (3196005)

A screenshot of EasyParallel running the STRUCTURE and NEWHYBRIDS analyses in parallel. by Honggang Zhao (7007438)

<i>melanogaster</i> unique transcripts with the potential of forming at least one R12 double-stranded region, identified using <i>RNAMotif</i>. by Atara Neugroschl (16884406)

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Overview of workflow pipeline using ColiCoords. by Jochem H. Smit (1342245)

Distribution of the 494 TTS hits identified in 123 unique transcripts between the MFE and SO structures, which were predicted using minimization algorithms (<i>mfold</i>, <i>RNAstr... by Atara Neugroschl (16884406)

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Geostatistical Analysis of the Data Sets on the Mariana Trench, Pacific Ocean by Polina Lemenkova (5855411)

“…Specifically, it shows an application of R programming language for geostatistical data processing and other methods (QGIS, Python, etc). …”

(5) Operator precedence and associativity symbols by computer language.pdf by Paul A. Gagniuc (1818325)

Poster_IZKF_June_2019 by Miguel Gonzalez-Acera (2746414)

Reflectance of a second surface mirror at an incidence angle of 45 and 80 degrees, with parallel and perpendicular polarization, computed using the TMM and OTSun. by Gabriel Cardona (45895)

Data_Sheet_1_Teaching computer programming: impact of Brown and Wilson's didactical principles.docx by Hector Belmar (5888300)

“…<p>This research studies the effects of the application of didactics to the teaching of computer programming, focusing on programming skills in the Python computer language. …”

Steps followed during Data Mining protocol of the Chembl Database using Python tool. by Kassim Folorunsho Adebambo (22806479)

The file “Supplementary Data.zip” contains the raw data used for Figs 2–5 as well as the processed data required to reproduce the plots. by David Ross (32742)

In blue-red gradient, results of a hot spot analysis using zip code averages for payment amount per physician in the contiguous United States. by Raphael E. Cuomo (9306269)

Example of use of the slightly off-axis strategies. by Raul Castañeda (13932971)

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<i>RNAMotif</i> results for IAV TTS-218 prevalence in <i>D</i>. <i>melanogaster</i> and <i>H</i>. <i>sapiens</i> transcriptome. by Atara Neugroschl (16884406)

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The percentage of unique transcripts and corresponding genes containing the indicated TTS types, as obtained from the transcriptome (<i>version 6</i>.<i>38</i>) analysis. by Atara Neugroschl (16884406)

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Model RNA hairpins illustrating examples of ideal and interrupted 12-bp long TTS. by Atara Neugroschl (16884406)

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Secondary structures for two ncRNAs, predicted with <i>mfold</i>. by Atara Neugroschl (16884406)

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Results for the survey of <i>D</i>. <i>melanogaster</i> transcriptome (<i>version 6</i>.<i>38</i>) for the indicated purine-rich sequences. by Atara Neugroschl (16884406)

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