Construction and adaptation of an open source rapid prototyping machine for biomedical research purposes—a multinational collaborative development

This chapter examines the way that participation in Free software projects increases commitments to information freedom among participants. With the Debian project as its core case study, it argues that in Free and Open Source software communities, ethics are reinforced through the sustained collaborative development of code and discussions and decisions around Free software licenses and project policy. In the final section, the chapter draws on the ethnographic analysis of ethical cultivation in Debian to describe a model of ethical volunteerism based on institutional independence, volunteer labor, and networks of trust that is applicable to a range of vocations.

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Designing a delta tripod based robot fused deposition modelling 3 dimensional printer using an open-source Arduino development platform

MATEC Web of Conferences ◽

10.1051/matecconf/201818402013 ◽

2018 ◽

Vol 184 ◽

pp. 02013

Author(s):

Tamás Templom ◽

Timotei István Erdei ◽

Zsolt Molnár ◽

Edwin Shaw ◽

Géza Husi

Keyword(s):

3D Printing ◽

Rapid Prototyping ◽

Open Source ◽

Fused Deposition Modelling ◽

3 Dimensional ◽

Development Platform ◽

Fused Deposition

The pinnacle of 3D printing is its effect on the field of rapid prototyping. The major advantage comes from the fact that designers can quickly materialize a part or object, which then could be tested in practice, and can be effortlessly modified if needed. This obviously cuts the development expenses and time by a significant percent. Moreover, it’s possible to create complex and precise shapes with the technology, which would take more time and would be resource intensive if done by older methods, for example manual or automatic machining.

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SIGN: similarity identification in gene expression

Bioinformatics ◽

10.1093/bioinformatics/btz485 ◽

2019 ◽

Vol 35 (22) ◽

pp. 4830-4833 ◽

Cited By ~ 1

Author(s):

Seyed Ali Madani Tonekaboni ◽

Venkata Satya Kumar Manem ◽

Nehme El-Hachem ◽

Benjamin Haibe-Kains

Keyword(s):

Breast Cancer ◽

Gene Expression ◽

Open Source ◽

Supervised Learning ◽

Cancer Patients ◽

Biomedical Research ◽

Expression Patterns ◽

R Package ◽

Gene Expression Patterns ◽

Learning Schemes

Abstract Motivation High-throughput molecular profiles of human cells have been used in predictive computational approaches for stratification of healthy and malignant phenotypes and identification of their biological states. In this regard, pathway activities have been used as biological features in unsupervised and supervised learning schemes. Results We developed SIGN (Similarity Identification in Gene expressioN), a flexible open-source R package facilitating the use of pathway activities and their expression patterns to identify similarities between biological samples. We defined a new measure, the transcriptional similarity coefficient, which captures similarity of gene expression patterns, instead of quantifying overall activity, in biological pathways between the samples. To demonstrate the utility of SIGN in biomedical research, we establish that SIGN discriminates subtypes of breast tumors and patients with good or poor overall survival. SIGN outperforms the best models in DREAM challenge in predicting survival of breast cancer patients using the data from the Molecular Taxonomy of Breast Cancer International Consortium. In summary, SIGN can be used as a new tool for interrogating pathway activity and gene expression patterns in unsupervised and supervised learning schemes to improve prognostic risk estimation for cancer patients by the biomedical research community. Availability and implementation An open-source R package is available (https://cran.r-project.org/web/packages/SIGN/).

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Rapid Prototyping of CBR Applications with the Open Source Tool myCBR

Lecture Notes in Computer Science - Advances in Case-Based Reasoning ◽

10.1007/978-3-540-85502-6_42 ◽

2008 ◽

pp. 615-629 ◽

Cited By ~ 45

Author(s):

Armin Stahl ◽

Thomas R. Roth-Berghofer

Keyword(s):

Rapid Prototyping ◽

Open Source ◽

Open Source Tool

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From code to market: Network of developers and correlated returns of cryptocurrencies

Science Advances ◽

10.1126/sciadv.abd2204 ◽

2020 ◽

Vol 6 (51) ◽

pp. eabd2204

Author(s):

Lorenzo Lucchini ◽

Laura Alessandretti ◽

Bruno Lepri ◽

Angela Gallo ◽

Andrea Baronchelli

Keyword(s):

Open Source ◽

Market Behavior ◽

Collaborative Development ◽

Clear Link ◽

Founding Principle

“Code is law” is the founding principle of cryptocurrencies. The security, transferability, availability, and other properties of crypto-assets are determined by the code through which they are created. If code is open source, as is customary for cryptocurrencies, this would prevent manipulations and grant transparency to users and traders. However, this approach considers cryptocurrencies as isolated entities, neglecting possible connections between them. Here, we show that 4% of developers contribute to the code of more than one cryptocurrency and that the market reflects these cross-asset dependencies. In particular, we reveal that the first coding event linking two cryptocurrencies through a common developer leads to the synchronization of their returns. Our results identify a clear link between the collaborative development of cryptocurrencies and their market behavior. More broadly, they reveal a so-far overlooked systemic dimension for the transparency of code-based ecosystems that will be of interest for researchers, investors, and regulators.

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