It is recommended that you play with the tuning parameter. RG boasts that its user base comprises more than half of the global research community: “According to Mr. Madisch, the social network has signed up 12 million scientists, or roughly 60 percent of all such potential users worldwide.”, A system-wide access/copyright/education disaster. Can you share on examples of those impersonating messages, because that should trigger a real outcry. Fast and gets right to the content. Edit: While it does explicitly state on my site that content on here is personal and not those of my employers, I should declare that I work for ScienceOpen, a competitor of ResearchGate. We will start with building a classifier on the same protein dataset we used earlier. still new to everything. Just like texts in Natural Language Processing (NLP), sequences are arbitrary strings. ResearchGate has been around longer (2008), and is in effect a pirate website of almost twice the size, now with the backing of major investors. Take a look, >>> protein_data = pd.DataFrame.from_csv('../data/protein_classification.csv'), >>> print(np.sum(pca.explained_variance_ratio_)), >>> kmeans = KMeans(n_clusters=3, max_iter =300). Can any RG member elaborate - ... (URL) pointing to my publications in ResearchGate. What’s more, this is exactly what makes RG the FB of academia. Due to SGT embedding’s ability to capture long- and short- term patterns, it works better than most other sequence modeling approaches. Planar Graph: A graph is said to be planar if it can be drawn in a plane so that no edge cross. Each sequence contains in the data is a series of activity, for example, {login, password, …}. I don’t think it has been verified yet how those institutional account details have been acquired yet, has it? This option lets you embed a search box on every page. >>> y_pred = model.predict_proba(X_test).round().astype(int), >>> print ('Average Run time', np.mean(time_k)). and finally
And open source. Not sure the comparison between RG and Scihub is quite accurate. Hello Abdulaziz: We use Technovit 7200 to infiltrate and embed mineralized bone, without demineralizing steps, using a light curing unit, and then surface immunohistochemistry on … This means that researchers’ most popular way of research discovery is also enabling massive scale illegal access to research. The protocol has been provided by Dr. Giancarlo Bellenchi.

The picture painted is unsustainable and IMO does not hold up to scrutiny. It also demonstrates that the vast majority of researchers either do not care or are not aware of the issues of copyright and scholarly publishing, as Richard Poynder pointed out recently. The protocol has been used to produce data published in peer-reviewed journals. 1. target the market to become the no.

With these embeddings, we can perform conventional Machine Learning and Deep Learning, e.g. The one possible reason is that they don’t have the resources to manage the whole illegal downloading process well enough, but I would absolutely assume that they are trying to improve it and remain undetected.
Does the Wellcome Trust now own a stake in ResearchGate, and how does this align with their charitable aims and other investments, such as Wellcome Open Research, a fully legal initiative? There are many things that can be planned and designed at the outset of an embedded research initiative - our embedded research design framework details 10 key areas for planning and design. SciHub is the same as RG though in that it is the vast number of users who commit the copyright infringement, with both platforms simply acting as the hosts for this activity. In the meantime, RG can keep using this illegal content to enhance their data analytics, which is perhaps more of an issue than what they then choose to do with such data as a for-profit company. I know there has been a lot of dramatic speculation, but has it been confirmed yet? Beginners guide to meditation series now freely available online. If researchers sharing their own articles is illegal, then what the hell is copyright protecting? The difference is that SciHub is run by one frustrated student, whereas RG emphasises the massive-scale problem with access to knowledge through 12 million researchers as members.

At some point they were actually asking people on the sly to provide their accounts. researches can be (and are) pretty sure about that their colleagues, research mates, rivals and grad students will be available on RG, so their whole audience is guaranteed to be present there (in contrast to smaller academic networks like Academia.edu). Sequence corpus typically contains thousands to millions of sequences. The only way to do that is if they published the information.

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