12,048 research outputs found

    Processed measurement data of acceleration of MR fluid-filled cushion gripper on UR3e robot

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    The dataset is a supplement to the article that will soon be submitted for review. DESCRIPTION:The dataset consists of Absolute Orientation Sensor (BNO055) measurements during the transportation of an object by a UR3e robot. The trajectory of the robot&#39;s movement includes lifting the object to a height of about 200 mm, horizontal displacement for a distance of 400 mm, and lowering by 200 mm. The transfer procedure begins with the closing of the jaws and ends with their opening. The procedure is analogous to the one outlined in the following dataset:Białek, Marcin, 2023, &#34;Processed measurement data on grip forces during object transportation by a robot using gripper with a MR fluid-filled cushions&#34;, https://doi.org/10.18150/B2KCKC, RepOD.The experiment was conducted for three values of acceleration and velocity of the robot joints. For each such configuration, 5 handling tests were carried out.LICENSE:The data are under Creative Commons License CC BY. It is though recommended to manipulate along with the author to fully understand the outcomes. If you have any questions do not hesitate to contact: marcin.bialek&#64;put.poznan.plThis research was funded by the National Science Centre, Poland, grant number: 2021/41/N/ST8/02619. https://ror.org/03ha2q922FILE:&#34;dataset.csv&#34; - processed measurement data obtained during the experiment.For proper interpretation, please refer to the images provided in readme files.COLUMNS:      - R_Speed[deg/s] - robot joint movement velocity;- R_Acc[deg/s^2] - robot joint movement acceleration;- SAMPLE[-] - sample number. For each object configuration, acceleration and speed, 5 trials were conducted;- TIME[s] - the measurement time at which the force was recorded;- Linear_X[m/s^2] - X axis of linear acceleration data (acceleration minus gravity)- Linear_Y[m/s^2] - Y axis of linear acceleration data (acceleration minus gravity)- Linear_Z[m/s^2] - Z axis of linear acceleration data (acceleration minus gravity)- Orient_X[deg] - X axis orientation data based on a 360° sphere- Orient_Y[deg] - Y axis orientation data based on a 360° sphere- Orient_Z[deg] - Z axis orientation data based on a 360° sphere- Accl_X[m/s^2] - X axis of acceleration (gravity &#43; linear motion)- Accl_Y[m/s^2] - Y axis of acceleration (gravity &#43; linear motion)- Accl_Z[m/s^2] - Z axis of acceleration (gravity &#43; linear motion)</p

    Life Written in the Strata. Excavations of the North-Eastern Sector of the Prehistoric Hillfort in Maszkowice (Western Carpathians) - research data

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    The collection consists of databases describing subsequent categories of sources and tables with scans of archival field documentation. These are supplementary materials for the publication: Marcin S. Przybyła (ed.) Life Written in the Strata. Excavations of the North-Eastern Sector of the Prehistoric Hillfort in Maszkowice (Western Carpathians), Profil-Archeo/Kraków 2024. Detailed chapter reference is given in the files description

    Functional characterization of MuSK, receptor tyrosine kinase required for the formation and the maintenance of nerve-muscle synapses : "in vivo" and "in vitro" approaches

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    The developing neuromuscular junction (NMJ) serves as one of the best model systems for studying synapse formation since changes in shape, size, and molecular composition can be followed with high spatial and temporal resolution. Formation of the NMJ depends on coordinated interactions between nerve terminals and muscle fibres [1] and requires reciprocal signals from both cells to efficiently regulate all the events taking place during its development. This includes synapse-specific gene expression, generation of action potentials and stabilization events leading to the formation of a sophisticated apparatus which ensures that the muscle fibre is provided with trophic factors as well as electrical stimuli. The receptor tyrosine kinase MuSK and its natural ligand, a neuron-specific isoform of the extracellular matrix molecule agrin, are considered to play a fundamental role in the formation and maintenance of the NMJ. In cultured myotubes, MuSK is activated by neural agrin, and this causes its phosphorylation and results in the formation of AChRs clusters on the cell surface [2-5]. The present study discusses different approaches to understand better the mechanisms of how the NMJ is formed and maintained. In the first project, we addressed the question of MuSK – neural agrin interaction and the necessity for an additional component of the agrin receptor complex. We generated transgenic mice overexpressing MuSK or neural mini-agrin as well as both proteins throughout the entire muscle fibre. We found evidence that in muscle cells MuSK is sufficient to respond to neural agrin with no necessity of any additional co-receptor protein. We also show that Dok-7, a MuSK adaptor protein, limits the formation of ectopic postsynaptic like structures in innervated muscle. From this, we conclude that it is very likely that in muscle cells MuSK serves as a functional receptor for neural agrin. The second project refers to the regulation of the NMJ formation. We found that signal transduction downstream of agrin involves the mitogen-activated protein kinase (MAPK) pathway, particularly ERK1/2 and JNK. It involves MuSK signaling, requires Dok7 and is ErbB-independent. We also show that MAPK phosphatase-1, MKP-1, plays a crucial regulatory role in formation of the nerve-muscle connection. Results of the third project describe that a miniaturized form of agrin is able to fully rescue perinatal death of agrin-deficient mice, and that this function does not depend on local deposition of agrin at synapses. Moreover, we show that acetylcholine together with neural agrin stabilizes the postsynaptic structures at the NMJ. The function of agrin in CNS was our main interest in the fourth project. Using agrin-deficient mice with a transgenic reconstitution of the expression of neural agrin by motor neurons, we found that in the brain, agrin is localized to the excitatory synapses. Lack of agrin resulted in a strong reduction of synaptic structures in the cerebral cortex coinciding with the attenuation of the frequency of miniature postsynaptic currents. Additionally we found that muscle specific kinase MuSK is also expressed in the brain, thus possibly involved in the formation of the nerve-nerve connections. Finally, we show that agrin function involves MAP kinase signaling

    Autoethnography, Storytelling, and Life as Lived: A Conversation Between Marcin Kafar and Carolyn Ellis

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    This conversation takes place in Warsaw. Carolyn Ellis has come to Poland to accompany Jerry Rawicki, a Warsaw Ghetto survivor, on his first trip back to Poland since the Holocaust. There she arranged to meet Marcin Kafar, a scholar in Poland who has spent time with her at the University of South Florida in Tampa, Florida. During this visit, Marcin assists Carolyn with video recording Jerry’s experiences as they visit Holocaust sites, and Jerry remembers and reflects on his experience. Afterwards, Marcin converses with Carolyn about autoethnography, storytelling, and the importance of life in the context of searching for ethos by academics

    PLoS Open Peer Review Corpus

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    PLoS Open Peer Review CorpusSection for Logic &amp; Cognitive Science, Institute of Philosophy and Sociology, Polish Academy of ScienceGenerated by Ksawery Jasieński under supervision of Marcin Miłkowski (2022)Public Library of Science (PLoS) journals are committed to open peer review idea, but these are voluntary. They are not available for download in a single package, but they are contained in their huge data dump.The data set contains all available peer reviews as of 16 June 2022 (138 papers with reviews). In addition, the corpus contains metadata about particular reviews, author responses, decision letters and paper metadata in the JSON format. The JSON schema files are available in the schema subdirectory in files with self-explanatory names.The original files were not enriched with any linguistic annotation or converted to any format (these are predominantly PDF, TXT, and DOCX files, as uploaded through the MDPI editorial system by reviewers).Additionally, we are making the filter code available, in the review_crawler directory. For PLoS reviews, plos_crawler.py should be used (more notes in the subdirectory).The files are being made available under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).</p

    MDPI Open Peer Review Corpus

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    MDPI Open Peer Review CorpusSection for Logic &amp; Cognitive Science, Institute of Philosophy and Sociology, Polish Academy of ScienceGenerated by Ksawery Jasieński under supervision of Marcin Miłkowski (2022)MDPI is committed to open peer review idea, but these are voluntary. They are not available for download in a single package, so they must be crawled from their website.The data set contains all available peer reviews as of 16 June 2022 (123 papers with reviews). In addition, the corpus contains metadata about particular reviews, author responses and paper metadata in the JSON format. The JSON schema files are available in the schema subdirectory in files with self-explanatory names.The original files were not enriched with any linguistic annotation or converted to any format (these are predominantly PDF, TXT, and DOCX files, as uploaded through the MDPI editorial system by reviewers).Additionally, we are making the crawler code available, in the review_crawler directory. For MDPI reviews, mdpi_crawler.py should be used (more notes in the subdirectory).The files are being made available under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).</p

    eLife Open Peer Review Corpus

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    eLife Open Peer Review CorpusSection for Logic &amp; Cognitive Science, Institute of Philosophy and Sociology, Polish Academy of ScienceGenerated by Ksawery Jasieński under supervision of Marcin Miłkowski (2022)eLife is committed to open peer review idea. Reviews are not available for download in a single package, so they must be extracted from their complete data set, which is several gigabytes large.The data set contains all available peer reviews as of 24 July 2022 (10853 papers with reviews or at least decision letters that omit minor comments). As stated by eLife:“In the interests of transparency, eLife includes the editorial decision letter and accompanying author responses. A lightly edited version of the letter sent to the authors after peer review is shown, indicating the most substantive concerns; minor comments are not usually included.”In addition, the corpus contains metadata about particular reviews (the filename contains ‘r’ and a numerical id before ‘.xml’), author responses (the filename then contains ‘a’ and a number before the ‘.xml’ suffix) and paper metadata in the JSON format. The JSON schema files are available in the schema subdirectory in files with self-explanatory names.The original files were not enriched with any linguistic annotation or converted (these are in XML format, as used by eLife).Additionally, we are making the crawler code available, in the review_crawler directory. For eLife reviews, elife_crawler.py should be used (more notes in the subdirectory).The files are being made available under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).</p

    Distributional semantics in the Corpus of Turing writing (generated sample)

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    Data set for the paper &#34;Turing&#39;s Conceptual Engineering&#34;, by Marcin Miłkowski, as appearing in Philosophies, 2022, 7(3), 69, available at https://doi.org/10.3390/philosophies7030069Section for Logic &amp; Cognitive ScienceInstitute of Philosophy and SociologyPolish Academy of ScienceGenerated by Marcin Miłkowski (2022) using SketchEngine and gensim from a corpus of published Alan Turing&#39;s writing and correspondence, as contained in &#39;Essential Turing&#39; [1] and &#39;Collected Works of Allan Turing&#39; [2, 3]. Detailed description of the corpus construction follows below.The source corpus contained the following papers, in the alphabetic order:1. A Diffusion Reaction Theory of Morphogenesis in Plants (1952, with C.W. Wardlaw, from [3]2. Can Automatic Calculating Machines Be Said To Think? (1952), Radio Discussion including Alan Turing, Richard Braithwaite, Geoffrey Jefferson, and Max Newman, from [1]2. Can Digital Computers Think (1951), from [1]3. Checking a Large Routine (1949), from [2]4. Chemical Basis of Morphogenesis (1952), from [1]5. Chess (1951), from [1]6. Computing Machinery and Intelligence (1950), from [1]7. Intelligent Machinery (1948), from [1]8. Intelligent Machinery, A Heretical Theory (circa 1951), from [1]9. Lecture on the Automatic Computing Engine (1947), 10. Lecture to the London Mathematical Society on 20 February 1947 (1947), from [2]11. Excerpts from correspondence (1936-1938), from [1]12. Letters on Logic to Max Newman (circa 1940), from [1]13. Letter to W. Ross Ashby (circa 1947), from [2]14. Letter to to Winston Churchill (1941), from [1]15. Memorandum to OP-20-G on Naval Enigma, chapters: 1, from [1], as well as all available textual excerpts from Chapter 5, 6, 7 from [4]16. Morphogen Theory of Phyllotaxis (1952), from [3]17. On Computable Numbers, with an Application to the Entscheidungsproblem (1936), from [1]18. On Computable Numbers. A Correction (1937), from [1]19. Outline of the Development of the Daisy (1952), from [3]20. Proposals for Development in the Mathematics Division of an Automatic Computing Engine (ACE) (1945), from [2]21. Solvable and Unsolvable Problems (1954), from [1]22. Systems of Logic Based on Ordinals (1938), from [1]The corpus does not contain Turing&#39;s papers in pure mathematics and some of his work in logic, mostly because these are only available in the form of scans, for which available OCR software does not really work well. Moreover, the textual analysis of mathematical notation seems somewhat pointless. Papers in [1] and [4] were already available in edited and digitalized form in Oxford Scholarship Online and were simply copied from the XHTML version to UTF-8 text files, whereas papers from [2] and [3] have been scanned and OCRed using tesseract v5.0.0-alpha.20201127, in the default LSTM setting for English. The resultant OCRed files were minimally manually edited to remove page numbers, editorial note numbers, page headers, and hyphenation.The source corpus will be made available in 2025 when Alan Turing&#39;s work will enter public domain.The provided data set includes 6 data files that correspond to figures in the paper:1. thesaurus intelligence.csv - terms semantically related to &#39;&#39;intelligence&#39;&#39;2. thesaurus intelligent.csv - terms semantically related to &#39;&#39;intelligent&#39;&#39;3. thesaurus mind.csv - terms semantically related to &#39;&#39;mind&#39;&#39;4. thesaurus thinking.csv - terms semantically related to &#39;&#39;thinking&#39;&#39;5. thesaurus definition.csv - terms semantically related to &#39;&#39;definition&#39;&#39;6. machine_modifiers.csv - modifiers of &#39;&#39;machine&#39;&#39; as found in the word sketch for &#39;&#39;machine&#39;&#39;7. word sketch brain mind.csv - word sketch difference data (the contrasted terms are &#39;&#39;brain&#39;&#39; and &#39;&#39;mind&#39;&#39;)The data was produced using SketchEngine. To reproduce:- To reproduce the data sets in 1-5, enter the term of interest on the Thesaurus tab after loading the corpus file in SketchEngine, using default settings for English. - To reproduce data for 6, enter &#39;&#39;machine&#39;&#39; on the word sketch tab. - To reproduce data in 7, enter the terms of interest on the Word Sketch Difference tab. After entering the term, click GO. The data will display in a tabular form, which can be visualized or saved in the CSV format.Additionally, the data set contains two files:8. word2vec.py - a Python script (requires Python 3 and gensim) to produce a word2vec model9. Turing.model - word2vec word embedding model created from the source corpus.References[1] Turing, A. The Essential Turing. Seminal Writings in Computing, Logic, Philosophy, Artificial Intelligence, and Artificial Life plus The Secrets of Enigma; Copeland, B.J., Ed.; Oxford University Press: Oxford, 2004; ISBN 0–19–825079–7.[2] Turing, A. Mechanical Intelligence; Ince, D., Ed.; Collected works of A.M. Turing; North-Holland ; Distributors for the U.S. and Canada, Elsevier Science Pub. Co: Amsterdam; New York: New York, NY, U.S.A, 1992; ISBN 978-0-444-88058-1.[3] Turing, A.; Saunders, P.T.; Turing, A. Morphogenesis; Collected works of A.M. Turing; North-Holland: Amsterdam; New York, NY, U.S.A, 1992; ISBN 978-0-444-88486-2.[4] Turing&#39;s Treatise on Enigma, http://www.ellsbury.com/profsbk/profsbk-080.htm (manually transcribed from archives held in the United Kingdom, The National Archives, Kew, Richmond, Surrey, TW9 4DU.)The files are being made available under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).</p

    Nice bronzes in ugly pots. On the containers of the Bronze Age metal deposits from Karmin in SW Poland

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    Vessels containing deposits of metal items only exceptionally are subject to detailed studies. Only laconic remarks on the presence of pottery sherds or information that metal items were stored in a vessel or vessels are most often published. It seems that metal artefacts are perceived more valuable and thus deserving more attention, while pottery – most often the aesthetically unappealing kitchenware – is considered too plain to be interesting. The paper discusses technological and chemical properties of ceramic vessels from Bronze Age hoards from Karmin, Milicz district, in SW Poland
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