9,211 research outputs found
Free Sherlock: The copyright battle of Baker Street
No full textSherlock Holmes faces his greatest challenge – since his fight to the death with Professor James Moriarty at Reichenbach Falls.\ud
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Who owns Sherlock Holmes, the world’s greatest detective? Is it the estate of Sir Arthur Conan Doyle? Or the mysterious socialite Andrea Plunket? Or does Sherlock Holmes belong to the public?\ud
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This is the question currently being debated in copyright litigation in the United States courts, raising larger questions about copyright law and the public domain, the ownership of literary characters, and the role of sequels, adaptations, and mash-ups
Matthew Henry: The Bible, Prayer, and Piety – A Tercentenary Celebration
No full textThe summer of 2014 marked the tercentenary of the death of Matthew Henry (1662–1714), a leading figure among early eighteenth-century Dissenters and author of the six-volume Exposition of the Old and New Testaments (1707–1714/25). This monumental work, which by 1855 had already been published in twenty-five different editions, attempted a peculiarly practical approach to the biblical text and continues to be widely used and readily accessible even today in both print and online versions. The theme of foreign (or ‘strange’) wives and Israelite intermarriage is one which occurs throughout the Hebrew Bible and, accordingly, throughout Matthew Henry’s commentary upon it. Where it appears, the practice of intermarriage is characterized by Henry as (at best) unwise and (at worst) a very real threat to both social and religious cohesion. This essay explores how Henry deals with the issue of ‘strange wives’, why he believes they continue to pose a threat, and (in view of the overall intention of his commentary) what ‘practical observations’ he offers to his reader as a result. In doing so it is argued that Henry’s commentary traces a thematic thread from the ante-diluvian age to the post-exilic period of calamities resulting from mixed marriages between ‘professors of religion’ and their ‘strange wives’
Citation expectations: are they realized? Study of the Matthew index for Russian papers published abroad
No full textWe consider the "Matthew effect" in the citation process which leads to reallocation (or misallocation) of the citations received by scientific papers within the same journals. The case when such reallocation correlates with a country where an author works is investigated. Russian papers in chemistry and physics published abroad were examined. We found that in both disciplines in about 60% of journals Russian papers are cited less than average ones. However, if we consider each discipline as a whole, citedness of a Russian paper in physics will be on the average level, while chemistry publications receive about 16% citations less than one may expect from the citedness of the journals where they appear. Moreover, Russian chemistry papers mostly become undercited in the leading journals of the field. Characteristics of a "Matthew index" indicator and its significance for scientometric studies are also discussed
An Interview with Matthew Kaiser on Competition and Play
No full textAn Interview with Matthew Kaiser on Competition and Play, by Sean Scanlan. Matthew Kaiser, the author of The World in Play: Portraits of a Victorian Concept (Stanford UP, 2012) says that “[c]ompetition is the disease from which modern life suffers,” and that “[c]ompetition is the only cure” for this suffering. This contradictory pairing seems to get at the heart of his thesis: play, as a totalizing, umbrella-like concept, emanates from a host of philosophical, political, and scientific work produced by Victorians who posed many of their ideas of play in sports metaphors, competitive logics, and narratives of struggle. Kaiser goes beyond the dichotomy of competition and play/competition or play, by stating “I’m interested in the totalizing potential of both concepts, the way that play, or competition for that matter, swallows the world whole, becomes in the minds of so many people, the organizing principle of reality, whether of culture or nature or consciousness, or of all three.
Cardozo AELJ Author Interview Series: Matthew Goldman, Class of 2022
No full textThe Cardozo AELJ Author Interview Series seeks to give our readers further insight into the Articles and Notes published in the Cardozo Arts & Entertainment Law Journal. In this interview, Matthew Goldman discusses his Note, Fragmented Music Copyright Protection: A Better Arrangement, which was published in Volume 40, Issue 3.
This post was originally published on the Cardozo Arts & Entertainment Law Journal website on November 7, 2023. The original post can be accessed via the Archived Link button above
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Cardozo AELJ Author Interview Series: Matthew Goldman, Class of 2022
No full textThe Cardozo AELJ Author Interview Series seeks to give our readers further insight into the Articles and Notes published in the Cardozo Arts & Entertainment Law Journal. In this interview, Matthew Goldman discusses his Note, Fragmented Music Copyright Protection: A Better Arrangement, which was published in Volume 40, Issue 3.
This post was originally published on the Cardozo Arts & Entertainment Law Journal website on November 7, 2023. The original post can be accessed via the Archived Link button above
Cardozo AELJ Author Interview Series: Matthew Goldman, Class of 2022
No full textThe Cardozo AELJ Author Interview Series seeks to give our readers further insight into the Articles and Notes published in the Cardozo Arts & Entertainment Law Journal. In this interview, Matthew Goldman discusses his Note, Fragmented Music Copyright Protection: A Better Arrangement, which was published in Volume 40, Issue 3.
This post was originally published on the Cardozo Arts & Entertainment Law Journal website on November 7, 2023. The original post can be accessed via the Archived Link button above
Matthew and Mark
No full textThe author of the Gospel of Matthew was arguably the very first Christian seeking to rejudaize Jesus of Nazareth. Throughout two millennia, and undeniably most intensively during the last half-century, many students of the Bible have followed in his footsteps. Although he was successful in many respects, we must not forget who paid the price for his endeavour: the Pharisees, the proto-Rabbis and the Founding Fathers of those we know as the Jewish people, those whom Jesus knew as his own
Sherlock Camera Trap Dataset
No full text<h2>Data</h2><p>Base dataset containing the camera trap images used for the 'small' and 'paired' tests of Sherlock, andSherlock code.</p><p>Camera trap images used for the larger 'main' test can be found in the following datasets:</p><p>https://zenodo.org/uploads/10023354</p><p>https://zenodo.org/uploads/10026321</p><p>https://zenodo.org/uploads/10036325</p><p>https://zenodo.org/uploads/10039718</p><p>https://zenodo.org/uploads/10044242</p><p>https://zenodo.org/uploads/10047672</p><p>https://zenodo.org/uploads/10048102</p><p>https://zenodo.org/uploads/10048378</p><h2><a href="https://github.com/mpenn114/Sherlock#sherlock">Sherlock</a></h2><p>This repository contains a code package, Sherlock, which provides an easy-to-use tool for processing camera trapping images.</p><p>Its aim is to remove false positive images - that is, principally, images where the camera has been triggered by a very small disturbances, such as a plant blowing in the wind. If images containing a specific species is being targeted, it also allows for the user to easily customise parameters to set the colour of the deisred animals. This can help to filter out images containing other animals, and thus increase the accuracy of the code.</p><p>This code is aimed to be usable by someone with no prior coding experience. To help this, a guide to installing Python (the language which Sherlock is written in) is provided at the end of this readme.</p><h3><a href="https://github.com/mpenn114/Sherlock#-input-format-">Input Format</a></h3><p>This code can process JPG images (NB: it should be possible to edit the code to accept any image format). These images should be stored in folders/subfolders, with a single "master folder" containing all of these folders. Examples of acceptable folder structures are below:</p><p>[Master Folder] -> Images (that is, an image would have the path .../MasterFolder/0001.JPG)</p><p>[Master Folder] -> [Location Folders] -> Images (e.g. .../MasterFolder/Aberystwyth/0001.JPG)</p><p>[Master Folder] -> [Location Folders] -> [Sub-location Folders] -> Images (e.g. .../MasterFolder/Aberystwyth/Constitution Hill/0001.JPG)</p><p>[Master Folder] -> [Location Folders] -> [Sub-location Folders] > [Camera Number] -> Images (e.g. .../MasterFolder/Aberystwyth/Constitution Hill/Camera1/0001.JPG)</p><p>In all of these cases, it is simply necessary to specify the master folder. Note that it is also possible to have a mixture of these cases (e.g. some locations may not have sub-locations)</p><p>It is important that the JPG images in each image folder are named consecutively as 0001.JPG, 0002.JPG, ... (note, the number of leading zeros is not important).</p><h3><a href="https://github.com/mpenn114/Sherlock#-output-format-">Output Format</a></h3><p>The code can produce different kinds of outputs, depending on the needs of the user.</p><p>The primary output is, for each folder of images, a folder containing CSV files, labelled as "CSV_Outputs[Runcode]". These files are "Potential_Animals" (a list of all images that the code believes may contain animals); "Unlikely_Animals" (a list of all images that the code believes do not contain an animal); "Errors" (a list of images that could not be processed); "Close to Animals" (a list of images such that images close to them - in terms of image number and time - were identified as potential animals); "Overall Animals" (the combination of the lists in "Potential_Animals" and "Close_to_Animals") and "False_Negatives" (if the code is in "testing mode", explained below, a list of all the false negatives)</p><p>It is also possible to get the code to write any potential animal images into a new folder, called "PotentialAnimals[Runcode]" where any of the images that are identified as animals, along with those that are close to them, are re-written with red boxes indicating the locations in which animals were thought to be. Note that this does not edit the original images in any way. However, it can be turned off if desired (as these images will be reasonably large files)</p><p>Finally, the code can be put into "testing mode". This can be done by changing one of the parameters (explained at the start of the code file), and seeks to compare the results of the code with human-inputted results. A list of image numbers containing animals should be created, called "Animaldata.csv", and a list of image numbers not containing animals should be created, called "nonAnimaldata.csv". These should then be saved in the same folder as the images, and their inclusion will allow the code to create CSV outputs that compare the two sets of results. The code can also compare results according to a number of different characteristics of the image, such as time and location, provided that the format matches that of the example CSV which is included in this Github.</p><h3><a href="https://github.com/mpenn114/Sherlock#-installing-python-anaconda-and-jupyter-lab-">Installing Python, Anaconda and Jupyter Lab</a></h3><p>Anaconda (and thus, Python) can be installed by visiting:</p><p>Windows: <a href="https://docs.anaconda.com/anaconda/install/windows/">https://docs.anaconda.com/anaconda/install/windows/</a></p><p>Mac: <a href="https://docs.anaconda.com/anaconda/install/mac-os/">https://docs.anaconda.com/anaconda/install/mac-os/</a></p><p>Linux: <a href="https://docs.anaconda.com/anaconda/install/linux/">https://docs.anaconda.com/anaconda/install/linux/</a></p><p>Once Anaconda has been installed, you should be able to find "Anaconda Prompt", and open it to get a command window. Type</p><p>conda install -c conda-forge jupyterlab</p><p>into this window and press enter to install Jupyter Lab</p><h3><a href="https://github.com/mpenn114/Sherlock#-opening-jupyter-lab-">Opening Jupyter Lab</a></h3><p>To open Jupyter Lab, open Anaconda Prompt, type in</p><p>jupyter lab</p><p>and then press enter. It should open in your web browser (note: you do not need an Internet connection to do this, or to run any of this code, except the section immediately following)</p><h3><a href="https://github.com/mpenn114/Sherlock#-opening-sherlock-">Opening Sherlock</a></h3><p>You can copy the code for Sherlock onto your computer by opening a new notebook (by clicking the "Python 3" button below "Notebook" in the right hand window. Then, there should be a textbox with your cursor inside it. If you have Git installed on your computer (which you can install from here <a href="https://github.com/git-guides/install-git">https://github.com/git-guides/install-git</a>), you can copy the code for Sherlock by copying</p><p>!git clone <a href="https://github.com/mpenn114/Sherlock">https://github.com/mpenn114/Sherlock</a></p><p>into this textbox, and then pressing the run button (which is a button in the row of buttons above the textbox - it looks like a "play" button). You should then be able to see a folder called Sherlock on the left hand side of the screen. Double-click on this folder to open it, and then double-click on the file "Sherlock.ipynb" to open the notebook for Sherlock. This should then appear on the right hand window.</p><p>Otherwise, you can download the code from this repository as a zip file. After extracting this code (right click on the zip file and click "Extract All"), you then will need to copy the notebook "Sherlock.ipynb" to the folder that Python opens with when you start Jupyter Lab. On Windows, this will generally be "C:/Users/[Your username]".</p><p>This file then contains all the information needed to run the code at the top. The actual code is below this initial text and, once you are happy with the inputs and parameters, you can run it by pressing the clicking somewhere on it, and then pressing the "run" button.</p><p>Note: If you are using an old Mac operating system (iOS 13 or earlier) then you may have an error when running the code. This can be fixed by removing the line</p><p>!pip install opencv-python</p><p>from the code and replacing it with the two lines</p><p>!pip uninstall opencv-python --y</p><p>!pip install opencv-python==4.4.0.46</p><p>The code should then run without any errors.</p><p>If you are using a camera with an unusual metadata format, then you may need to use the Sherlock_legacy.ipynb file instead. This manually detects whether an image was taken during the day or at night, rather than using the image metadata. Do feel free to log this as an issue if the main version doesn't work and we will seek to add a fix!</p>
Artful living and the eradication of worry in Søren Kierkegaard's interpretation of Matthew 6:24-34
No full textDanish thinker Søren Kierkegaard published fourteen discourses, across four collections, on Matthew 6:24-34. The repeated readings of the biblical text, whose themes include the choice between God and mammon, worry, what it means to consider the birds and lilies, and how to seek first the kingdom of God, converge with Kierkegaard’s interest in anxiety, despair, worry, subjectivity, indirect communication, choice, the moment, and life before God. Accordingly, the discourses make connections with his larger works, elucidate frequently explored Kierkegaardian themes in recent scholarship, and contribute to his critique of nineteenth-century Copenhagen. Additionally, the collections present an interpretation of each verse and phrase of Matthew’s text and, held up against modern Matthew scholarship, they correlate with and contribute to Sermon on the Mount and New Testament studies. Kierkegaard’s reading of Matthew also holds implications for the practice of biblical interpretation as it promotes the importance of awareness of sin, interestedness, and appropriation as central to proper reading. His emphasis on Christ as the primary exemplar of Matthew’s text adds an additional Christological element to his hermeneutic. Furthermore, the discourses serve as spiritual treatises which provide the reader with theological terminology to help confront the problem of worry and suffering. In light of a human being’s distinctiveness as imago Dei, Kierkegaard elucidates ways an individual may respond artfully to the ongoing possibility of worry, a possibility which the discourses connect with Christian anthropology and external labels associated with possessions and status. The Matthew 6 discourses intimate Kierkegaard’s sympathy with classic Christian spirituality and, in combination with the cultural-ecclesiastical critique, the creative exegesis, and the in-depth analysis of the cause of and cure for worry, his work emerges as an excellent example of spiritual theology
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