2,197,614 research outputs found
noush-joglekar/scisorseqr v0.1.1
No full textPrimary release Pre-release bug fixes, added functions for visualizations, improved vignett
noush-joglekar/scisorseqr: 0.1.5
No full textUpdated function docs
Updated vignettes to include new AllInfo + Incomplete (zipped) format, and additional arguments for rm-ing tmp files etc.
Changed 'sh' to 'bash' for platform compatibility
Fixed non-specific string matching in InfoPerLongRead bc it was messing up SRA file processing
Fixed readID-extraction in GetBarcodes() to allow for non-standard file format e.g. SRA
DiffSplicingAnalysis with 'Exon' option now done w exon string, not index
Absolute path instead of pwd for MMalign
tri heatmap viz generalized for exons
Exon counting was messed up because of an "&&" call and type issue within
Faunal Diversity during the Harappan Period in Haryana: A Review
No full textSeveral scholars have paid attention to the study of animals in Harappan culture since the first idea of animals at Mohenjo daro was given by Sewell and Guha in 1931. Also, a few reviews are available:Sahu (1988), Possehl (1999), Thomas and Joglekar (1994), Thomas (2002), Chattopadhyaya (2002), Meadow and Patel (2002), Joglekar (2006), and Joglekar and Goyal (in press). All these reviews have aptly recognised the importance of archaeo faunal studies in reconstructing human animal interactions on environment in the past. For a long period of time the archaeofaunal record from Harappan sites located in the plain of Haryana was scanty. However, in recent years several sites such as Farmana, Girawad, Mitathal, Bhirrana, Karsola, Masudpur, Burj, Bahola, Rakhigarhi, Rupnagar(Ropar) and Lohat were excavated. Moreover, some of the faunal material from all of these sites has been made available for faunal study. These studies have shown the nature of human animal interactions during the Harappan cultural context. This paper reviews faunal studies from all these sites and presents a summary of findings, particularly those related to faunal diversity.The Harappan people of Haryana Plain utilized domestic and wild mammals, as well as non mammalian resources such as the birds, reptiles, fish and molluscs. This paper focuses on examining overall faunal diversity noticed at the Harappan sites in Haryana
LAB Innovations Annual Review 2020
No full textInnovaatioiden kaupallistaminen on yksi neljästä LAB-ammattikorkeakoulun tutkimus-, kehittämis- ja innovaatiotoiminnan (TKI) strategisesta vahvuusalueesta. Tämän artikkelikokoelman tavoitteena on viestiä Innovaatioiden kaupallistaminen -vahvuusalueen käynnissä olevien ja hiljattain päättyneiden TKI-hankkeiden tuloksista, toimenpiteistä ja niiden piirissä toteutettujen kokeilujen kautta saavutetuista opeista ja kokemuksista. Julkaisu koostuu artikkeleista, jotka on temaattisesti jaoteltu vahvuusalueen neljän teeman – Innovaatioiden kokeiluympäristöt, Uudistuva yrittäjyys, Liiketoiminnan muotoilu ja runsas arvo sekä Radikaalit uudet avaukset – alle.fi=Ei tietoa saavutettavuudesta|sv=Okänd tillgänglighet|en=Unknown accessibility
newcastle-living-lab/living-lab: Version 1.15.0
No full textv1.15.0
<ul>
<li>Added support for <a href="https://www.npmjs.com/package/pkg">pkg</a>.</li>
</ul>
Pkg support
<p>The Living Lab project can now be built as a standalone runtime using <code>pkg</code>.</p>
<p>To build Living Lab, run <code>npm run pkg-win</code> or <code>npm run pkg-mac</code> from the <code>src</code> directory.
The runtimes will be built into the respective platform directories in <code>../pkg/</code>.</p>
<p>When installed with the Living Lab project, the sqlite3 module installs a driver for the
given platform at install-time. This can't be bundled in the <code>pkg</code> process and must be
copied manually to the pkg platform directory.</p>
<p>The file will be here: <code>src\node_modules\sqlite3\lib\binding\{platform}\node_sqlite3.node</code></p>
<p>When the standalone Living Lab is ran, it will use <code>config</code> and <code>data</code> folders that are in
the same level as the executable. For example:</p>
<pre><code>|-- pkg
|-- data
|-- config
|-- living-lab.exe
|-- node_sqlite3.node
</code></pre>
SPiN-Lab/connPFM: v0.0.1
No full textWhat's Changed
Folder structure and add files from previous repositories by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/6
Setup connPFM installation with pip by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/8
Configure lint test and ensure it passes. by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/9
Add logger to the toolbox by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/10
Move all code into main structure by @eurunuela in https://github.com/SPiN-Lab/connPFM/pull/12
Add nsurrogates option to ev_workflowand event_detection functions by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/15
Fix debiasing imports in connPFM.py by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/16
Add unit tests for ev.py by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/17
Change unit test docker image to an image with afni installed by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/19
Allow non parallel workflow for integration testing by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/20
Utils testing by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/22
[ENH] Do not apply inverse transform if not necessary by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/23
Add script to debias with no information about connectivty or co-fluctuation, i.e., PFM-only by @eurunuela in https://github.com/SPiN-Lab/connPFM/pull/26
Avoid creating the nilearn_cache folder when using nilearn maskers by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/29
execute compute_slars.py in a container so the jobs don't change the execution enviroment by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/31
Start using connpfm official docker repository by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/35
Add debiasing testing by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/24
Add testing to slars_stability.py by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/36
add Integration tests to the toolbox by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/38
[ENH] Add different thresholding options to connectivity analysis by @eurunuela in https://github.com/SPiN-Lab/connPFM/pull/41
Deb output by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/39
Build docker with current brach for both PRs and main branches by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/43
correct the path to compute_slars.py inside the image by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/45
Change ETS plots max and min values by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/25
Add matrix argument as an output string for ev_workflow by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/44
Update debiasing call for stability selection PFM by @eurunuela in https://github.com/SPiN-Lab/connPFM/pull/46
Output rss and peak timepoints as txt by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/47
Extend testing to different versions of Python with matrix configuration by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/48
add figure one for OHBM by @vinferrer in https://github.com/SPiN-Lab/connPFM/pull/49
New Contributors
@vinferrer made their first contribution in https://github.com/SPiN-Lab/connPFM/pull/6
@eurunuela made their first contribution in https://github.com/SPiN-Lab/connPFM/pull/12
Full Changelog: https://github.com/SPiN-Lab/connPFM/commits/v0.0.
LAB Innovations Annual Review 2023
No full textInnovaatioiden kaupallistaminen on yksi neljästä LAB-ammattikorkeakoulun TKI-toiminnan strategisesta vahvuusalueesta. LAB Innovations Annual Review 2023 on Innovaatioiden kaupallistaminen -vahvuusalueen TKI-toiminnan vuosijulkaisu. Sen tavoitteena on viestiä sidosryhmillemme alueellisen innovaatiotoiminnan edistämistyön tuloksista. Vuosijulkaisu koostuu tänä vuonna 10 artikkelista, joissa käsitellään LAB-ammattikorkeakoulun Innovaatioiden kaupallistaminen vahvuusalueen käynnissä olevien ja hiljattain päättyneiden TKI-hankkeiden tuloksia, toimenpiteitä ja niiden piirissä toteutuneita kokeiluja.
Commercialisation of Innovations is one of the four strategic focus areas of the research, development and innovation (RDI) activities of the LAB University of Applied Sciences. LAB Innovations Annual Review 2023 communicates the actions and results of the ongoing and recently completed international RDI projects in the strategic focus area as well as conveys lessons learnt from and experiences yielded by the experiments carried out as part of these projects.fi=Ei tietoa saavutettavuudesta|sv=Okänd tillgänglighet|en=Unknown accessibility
LAB Circular Economy Annual Review 2022
No full textThe theme of this publication is circular economy, which is one of the four focus areas at LAB University of Applied Sciences (LAB). This publication contains 14 articles written by experts from LAB and its stakeholders. This review presents the latest interesting research, development and innovation activities in the context of sustainable circular economy. The publication supports communication with LAB’s partner universities, companies and other stakeholders, and it is a part of sustainability and circular economy related actions in the R&D, educational and company partnership operations of LAB.fi=Ei tietoa saavutettavuudesta|sv=Okänd tillgänglighet|en=Unknown accessibility
Multivariate to Bivariate Reduction for Noncommutative Polynomial Factorization
No full textBased on a theorem of Bergman [Cohn, 2006] we show that multivariate noncommutative polynomial factorization is deterministic polynomial-time reducible to the factorization of bivariate noncommutative polynomials. More precisely, we show the following:
1) In the white-box setting, given an n-variate noncommutative polynomial f ∈ ⟨X⟩ over a field (either a finite field or the rationals) as an arithmetic circuit (or algebraic branching program), computing a complete factorization of f into irreducible factors is deterministic polynomial-time reducible to white-box factorization of a noncommutative bivariate polynomial g ∈ ⟨x,y⟩; the reduction transforms f into a circuit for g (resp. ABP for g), and given a complete factorization of g (namely, arithmetic circuits (resp. ABPs) for irreducible factors of g) the reduction recovers a complete factorization of f in polynomial time.
We also obtain a similar deterministic polynomial-time reduction in the black-box setting.
2) Additionally, we show over the field of rationals that bivariate linear matrix factorization of 4× 4 matrices is at least as hard as factoring square-free integers. This indicates that reducing noncommutative polynomial factorization to linear matrix factorization (as done in [Vikraman Arvind and Pushkar S. Joglekar, 2022]) is unlikely to succeed over the field of rationals even in the bivariate case. In contrast, multivariate linear matrix factorization for 3×3 matrices over rationals is in polynomial time
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