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Konrad Hinsen
@khinsen  ·  activity timestamp 6 years ago

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Björn Brembs
@brembs  ·  activity timestamp 6 years ago
PeerJ Preprints

Assessing the size of the affordability problem in scholarly publishing

For many decades, the hyperinflation of subscription prices for scholarly journals have concerned scholarly institutions. After years of fruitless efforts to solve this “serials crisis”, open access has been proposed as the latest potential solution. However, also the prices for open access publishing are high and are rising well beyond inflation. What has been missing from the public discussion so far is a quantitative approach to determine the actual costs of efficiently publishing a scholarly article using state-of-the-art technologies, such that informed decisions can be made as to appropriate price levels. Here we provide a granular, step-by-step calculation of the costs associated with publishing primary research articles, from submission, through peer-review, to publication, indexing and archiving. We find that these costs range from less than US$200 per article in modern, large scale publishing platforms using post-publication peer-review, to about US$1,000 per article in prestigious journals with rejection rates exceeding 90%. The publication costs for a representative scholarly article today come to lie at around US$400. We discuss the additional non-publication items that make up the difference between publication costs and final price.
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Björn Brembs
@brembs  ·  activity timestamp 6 years ago
PeerJ Preprints

Assessing the size of the affordability problem in scholarly publishing

For many decades, the hyperinflation of subscription prices for scholarly journals have concerned scholarly institutions. After years of fruitless efforts to solve this “serials crisis”, open access has been proposed as the latest potential solution. However, also the prices for open access publishing are high and are rising well beyond inflation. What has been missing from the public discussion so far is a quantitative approach to determine the actual costs of efficiently publishing a scholarly article using state-of-the-art technologies, such that informed decisions can be made as to appropriate price levels. Here we provide a granular, step-by-step calculation of the costs associated with publishing primary research articles, from submission, through peer-review, to publication, indexing and archiving. We find that these costs range from less than US$200 per article in modern, large scale publishing platforms using post-publication peer-review, to about US$1,000 per article in prestigious journals with rejection rates exceeding 90%. The publication costs for a representative scholarly article today come to lie at around US$400. We discuss the additional non-publication items that make up the difference between publication costs and final price.
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Stefan Rödiger
@pangolin  ·  activity timestamp 6 years ago
http://dx.doi.org/10.1021/acs.analchem.9b01586
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Stefan Rödiger
@pangolin  ·  activity timestamp 6 years ago

Open source bioimage informatics tools for the analysis of DNA damage and associated biomarkers

Open source bioimage informatics tools for the analysis of DNA damage and associated biomarkers
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Björn Brembs
@brembs  ·  activity timestamp 6 years ago

ORCID

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Björn Brembs
@brembs  ·  activity timestamp 6 years ago

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Björn Brembs
@brembs  ·  activity timestamp 6 years ago

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Stefan Rödiger
@pangolin  ·  activity timestamp 6 years ago
http://dx.doi.org/10.1093/ecco-jcc/jjz012
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Björn Brembs
@brembs  ·  activity timestamp 6 years ago
https://doi.org/10.1101/593046
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Björn Brembs
@brembs  ·  activity timestamp 6 years ago
bioRxiv

MARGO (Massively Automated Real-time GUI for Object-tracking), a platform for high-throughput ethology

Fast object tracking in real time allows convenient tracking of very large numbers of animals and closed-loop experiments that control stimuli for multiple animals in parallel. We developed MARGO, a real-time animal tracking suite for custom behavioral experiments. We demonstrated that MARGO can rapidly and accurately track large numbers of animals in parallel over very long timescales. We incorporated control of peripheral hardware, and implemented a flexible software architecture for defining new experimental routines. These features enable closed-loop delivery of stimuli to many individuals simultaneously. We highlight MARGO’s ability to coordinate tracking and hardware control with two custom behavioral assays (measuring phototaxis and optomotor response) and one optogenetic operant conditioning assay. There are currently several open source animal trackers. MARGO’s strengths are 1) robustness, 2) high throughput, 3) flexible control of hardware and 4) real-time closed-loop control of sensory and optogenetic stimuli, all of which are optimized for large-scale experimentation.
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Björn Brembs
@brembs  ·  activity timestamp 6 years ago

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Björn Brembs
@brembs  ·  activity timestamp 6 years ago

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Lambert Heller
@Lambo  ·  activity timestamp 6 years ago

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Lambert Heller
@Lambo  ·  activity timestamp 6 years ago

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Lambert Heller
@Lambo  ·  activity timestamp 6 years ago

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Lambert Heller
@Lambo  ·  activity timestamp 6 years ago

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Björn Brembs
@brembs  ·  activity timestamp 6 years ago

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Konrad Hinsen
@khinsen  ·  activity timestamp 6 years ago

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Konrad Hinsen
@khinsen  ·  activity timestamp 6 years ago
AIP Publishing

Memory effects in a random walk description of protein structure ensembles

In this paper, we show that ensembles of well-structured and unstructured proteins can be distinguished by borrowing concepts from non-equilibrium statistical m
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