4,447 research outputs found
Systematic investigation of trench filling with photo materials
No full textAuthor Amal Dev Raj VilayilMasterarbeit Universität Linz 2022Arbeit auf den öffentlichen PCs in den Bibliotheken der JKU+Medizin abrufba
Si and Ge based metallic core/shell nanowires for nano-electronic device applications
No full textOne dimensional heterostructure nanowires (NWs) have attracted a large attention due to the possibility of easily tuning their energy gap, a useful property for application to next generation electronic devices. In this work, we propose new core/shell NW systems where Ge and Si shells are built around very thin As and Sb cores. The modification in the electronic properties arises due to the induced compressive strain experienced by the metal core region which is attributed to the lattice-mismatch with the shell region. As/Ge and As/Si nanowires undergo a semiconducting-to-metal transition on increasing the diameter of the shell. The current-voltage (I-V) characteristics of the nanowires show a negative differential conductance (NDC) effect for small diameters that could lead to their application in atomic scale device(s) for fast switching. In addition, an ohmic behavior and upto 300% increment of the current value is achieved on just doubling the shell region. The resistivity of nanowires decreases with the increase in diameter. These characteristics make these NWs suitable candidates for application as electron connectors in nanoelectronic devices
Corrigendum to Programmed cell death in the lithium pilocarpine model: Evidence for NMDA receptor and ceramide-mediated mechanisms [Brain Dev 30 (2008) 513-519] (DOI:10.1016-j.braindev.2008.01.002)
No full text[No abstract available]Mikati MA, 2008, BRAIN DEV-JPN, V30, P513, DOI 10.1016-j.braindev.2008.01.0020
Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning
No full textThis repository contains resources developed for the paper: Gupta, V., Zhang, S., Vempala, A., He, Y., Choji, T., Srikumar V., Right for the Right Reason: Evidence Extraction for Trustworthy Tabular Reasoning. In: Proceeding of the The Association of Computational Linguistic 2022 (ACL ’22), May 2022".
It includes the relevant rows marking for the train set of the InfoTabS dataset (https://infotabs.github.io/) Gupta et. al. 2020 [1].
We followed the protocol of Gupta et al. (2022) [2] which annotated the development and test sets (alpha1, alpha2, alpha3) sets: one table and three distinct hypotheses formed a HIT. We divide the tasks equally into 110 batches, each batch having 51 HITs each having three examples. In total, we collected 81,282 annotations from 90 distinct annotators.
Overall, twenty five annotators completed over 1000 tasks, corresponding to 87.75 % of the examples, indicating a tail distribution with the annotations. Overall, 16,248 training set table-hypothesis pairs were successfully labeled with the evidence rows. On average, we obtain 89.49% F1-score with equal precision and recall for annotation agreement when compared with majority vote. It also includes an annotation template used on the mTurk platform for crowdsourcing. The cited datasets were used in this work. The cited datasets were used in this work.
Files to access the annotation follow the below structure:
annotation_batches
batches_test: contain final results “.csv” files for all the development and test set batches (taken from Gupta et. al. 2022)
batches_train: contain our annotated results “.csv” files for all the train set batches
README.md: contain the readme for the annotation batches details
main_template_row_relevant.html: content the annotation template used for each HIT i.e. marking the relevant row for each instance
annotation_stats.md: Have details of the annotation statistics
release_mturk: contain the release batches details i.e. csv for corresponding batches released
Files to recreate the annotation statistics and pre-processed data:
results_test: contain the pre-processed batch csv for dev and test set each batch. In the dev and test set. The integrated one computes the agreement stats for all the batches.(taken from Gupta et. al. 2022)
results_train: similar to resutls_train expect contain the pre-processed batch csv for train set.
scripts: contain the scripts needed to create the csv in the results_test and results_train sets. The script title denotes the function (the statistic it computes) for the scripts.
src: the scripts use these python files to create the relevant statistics.
References:
[1] InfoTabS: Inference on Tables as Semi-structured Data, Vivek Gupta, Maitrey Mehta, Pegah Nokhiz, Vivek Srikumar, ACL 2020
[2] Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning, Vivek Gupta, Riyaz A. Bhat, Atreya Ghosal, Manish Srivastava, Maneesh Singh, Vivek Srikumar, TACL 2022, presented at ACL 202
open-AIMS/ADRIA.jl: v0.7.0-dev.1
No full textWhat's Changed
Update use of functions due to new import approach by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/334
Migrate from SnoopPrecompile to PrecompileTools by @timholy in https://github.com/open-AIMS/ADRIA.jl/pull/335
Add planning horizon factor by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/336
Replace use of area attribute/field with call to function site_area() to ensure correct values by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/337
Remove reference to defunct fields when making factors constant by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/338
Make use of planning horizon in sims by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/340
Changes to support running ADRIA with external model (ReefMod Engine) data by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/341
CompatHelper: add new compat entry for SimpleWeightedGraphs at version 1, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/343
CompatHelper: add new compat entry for OrderedCollections at version 1, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/344
CompatHelper: bump compat for StatsBase to 0.34, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/345
Split ADRIA-mod domain definition by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/346
Add GBR zones by priority by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/347
Exit with error if given path is not a directory by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/350
Make Aviz into an extension package by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/349
CompatHelper: add new compat entry for Reexport at version 1, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/351
CompatHelper: add new compat entry for ImageMagick at version 1, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/352
Update bleaching mortality model to align with published paper by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/354
Add option to use JMcDM functions in ADRIA site selection by @Rosejoycrocker in https://github.com/open-AIMS/ADRIA.jl/pull/348
Address mismatched number of elements under certain conditions by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/358
Remove Copras method due to erroring by @Rosejoycrocker in https://github.com/open-AIMS/ADRIA.jl/pull/359
CompatHelper: bump compat for HypothesisTests to 0.11, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/363
CompatHelper: add new compat entry for JMcDM at version 0.7, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/362
Update documentation by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/361
Scenario discovery docs by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/364
Fix: Metric errors when applied to a single simulation by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/365
Address ranking errors in mcda outputs by @Rosejoycrocker in https://github.com/open-AIMS/ADRIA.jl/pull/367
Add temporal clustering by @Zapiano in https://github.com/open-AIMS/ADRIA.jl/pull/370
Fix incorrect type check by @Zapiano in https://github.com/open-AIMS/ADRIA.jl/pull/371
CompatHelper: add new compat entry for Clustering at version 0.15, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/372
CompatHelper: bump compat for Zarr to 0.9, (keep existing compat) by @github-actions in https://github.com/open-AIMS/ADRIA.jl/pull/373
Update time series clustering and add visualization functionality by @Zapiano in https://github.com/open-AIMS/ADRIA.jl/pull/374
Update scenario viz by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/355
Refactor run_scenarios to improve when running multiple rcps by @Zapiano in https://github.com/open-AIMS/ADRIA.jl/pull/376
Bump version number and add new author by @Zapiano in https://github.com/open-AIMS/ADRIA.jl/pull/378
Update docstrings for growth function by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/375
Add map visualization - displays k-area by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/356
Consider near-term conditions with greater weight than far-future conditions by @ConnectedSystems in https://github.com/open-AIMS/ADRIA.jl/pull/387
Changes to number of species in ADRIA by @Rosejoycrocker in https://github.com/open-AIMS/ADRIA.jl/pull/380
Temporal clustering for spatial data by @Zapiano in https://github.com/open-AIMS/ADRIA.jl/pull/382
New Contributors
@timholy made their first contribution in https://github.com/open-AIMS/ADRIA.jl/pull/335
@Zapiano made their first contribution in https://github.com/open-AIMS/ADRIA.jl/pull/370
Full Changelog: https://github.com/open-AIMS/ADRIA.jl/compare/v0.5.0...v0.7.0-dev.
Supplementary data and code for Gupta and Heinrichs et al. 2024
No full text<p>Code and R data files for publication: "<em>Investigating the basis of lineage decisions and developmental </em><em>trajectories in the dorsal spinal cord through pseudotime analyses</em>" Development, 2024.</p>
<p>RDS are processed data files</p>
<ul>
<li>subRA.rds is just RA protocol
<ul>
<li>generated in object creation - individual datasets.R</li>
</ul>
</li>
<li>subBMP.rds is just BMP protocol
<ul>
<li>generated in object creation - individual datasets.R</li>
</ul>
</li>
<li>with pseudotime updated.rds is RA and BMP combined with pseudotime analysis added
<ul>
<li>generated in Data loading and integration.R and then monocle.R and then analyzed mainly in object analysis.R but also in other files</li>
</ul>
</li>
<li>briscoe.sub.intergrated is dataset from delile et al
<ul>
<li>generated in briscoe analysis.R</li>
<li>integration with our dataset.R is briscoe dataset and our two datasets combined with further analysis in knn UMAP analysis.R</li>
</ul>
</li>
<li>each shiny data rds file goes with its respective app.R file
<ul>
<li>these rds files have more genes than could be uploaded to the online shiny app</li>
</ul>
</li>
</ul>
<p>Relevant citations for code available in linked publication</p>
Recurrent idiopathic gingival fibromatosis with generalized aggressive periodontitis: A rare case report
No full textThe Cryosphere Discussions
No full textwww.geosci-model-dev-discuss.net/6/3003/2013/ doi:10.5194/gmdd-6-3003-2013 © Author(s) 2013. CC Attribution 3.0 License
System Safety in Healthcare: The Right and Wrong Ways to Perform Failure Mode and Effects Analysis (FMEA)
No full textThe objective of performing Failure Mode and Effects Analysis (FMEA) is to use sound risk management principles, coupled with innovative solutions that can assure high return on investment (ROI). Quality Guru Philip Crosby wrote in his book, Quality is Free, that quality is free if you do the right things at the right time. Essentially, the savings from avoiding fixes, process changes and lawsuits are much higher than the cost of doing things right. The principles of sound risk management, experienced by this paper’s co-author Dev Raheja as an international engineering management consultant over 30 years, include:
Identifying risks
Assessing risks
Mitigating risks
Orchestrating risk management
Aiming at high ROI without compromising safet
A Urysohn lemma for regular spaces
No full text[EN] Using the concept of m-open sets, M-regularity and M-normality are introduced and investigated. Both these notions are closed under arbitrary product. M-normal spaces are found to satisfy a result similar to Urysohn lemma. It is shown that closed sets can be separated by m-continuous functions in a regular space.Gupta, A.; Sarma, RD. (2022). A Urysohn lemma for regular spaces. Applied General Topology. 23(2):243-253. https://doi.org/10.4995/agt.2022.16720OJS243253232A. Blass, Injectivity, projectivity and the axiom of choice, Trans. Am. Math. Soc. 255 (1970), 31-59. https://doi.org/10.1090/S0002-9947-1979-0542870-6C. Boonpok, ξμ-sets in generalized topological spaces, Acta Math. Hungar. 96 (2012), 269-285. https://doi.org/10.1007/s10474-011-0106-2J. Dugundji, Topology, Allyn and Bacon (1966).E. Fabrizi and A. Saffiotti, Behavioral Navigation on Topology-based Maps, in: Proc. of the 8th Symp. on robotics with applications, Maui, Hawaii, 2000.C. Good and I. J. Tree, Continuing horrors of topology without choice, Topology Appl. 63, no. 1 (1995), 79-90. https://doi.org/10.1016/0166-8641(95)90010-1A. Gupta and R. D. Sarma, on -open sets in topology, in: Conference Proceedings "3rd international conference on Innovative Approach in Applied Physical, Mathematical/Statistical, Chemical Sciences and Energy Technology for Sustainable Development", 7-11.I. M. James, Topologies and Uniformities, Springer-Verlag (1987).J. L. Kelley, General Topology, D. Van Nostrand, Princeton, N. J., (1955).V. Kovalesky and R. Kopperman, Some topology-based image processing algorithms, Ann. Ny. Acad. Sci. 728 (1994), 174-182. https://doi.org/10.1111/j.1749-6632.1994.tb44143.xB. M. R. Stadler and P. F. Stadler, Generalized topological spaces in evolutionary theory and combinatorial chemistry, J. Chem. Inf. Comp. Sci. 42 (2002), 577-585. https://doi.org/10.1021/ci010089
- …
