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10,812 results for “novels”
A Novel Hybrid Finite Element-Spectral Boundary Integral Scheme for Modeling Earthquake Cycles: Application to Rate and State Faults with Low-Velocity Zones
<p>We present a novel hybrid finite element (FE) - spectral boundary integral (SBI) scheme that enables efficient simulation of earthquake cycles. This combined FE-SBI approach captures the benefits of finite elements in modelling problems with nonlinearities, as well as the computational superiority of SBI. The domain truncation enabled by this scheme allows us to utilize high-resolution finite elements discretization to capture inhomogeneities or complexities that may exist in a narrow region surrounding the fault. Combined with an adaptive time stepping algorithm, this framework opens new opportunities for modeling earthquake cycles with high-resolution fault zone physics. In this initial study, we consider a two dimensional (2-D) anti-plane model with a vertical strike-slip fault governed by rate and state friction in the quasi-dynamic limit under the radiation damping approximation. The proposed approach is first verified using the benchmark problem BP-1 from the Southern California Earthquake Center (SCEC) sequence of earthquake and aseismic slip (SEAS) community verification effort. The computational framework is then utilized to model the earthquake sequence and aseismic slip of a fault embedded within a low-velocity fault zone (LVFZ) with different widths and compliance levels. Our results indicate that sufficiently compliant LVFZs contribute to the emergence of sub-surface events that fail to penetrate to the free surface and may experience earthquake clusters with nonuniform inter-seismic time. Furthermore, the LVFZ leads to slip rate amplification relative to the homogeneous elastic case. We discuss the implications of our results for understanding earthquake complexity as an interplay of fault friction and bulk heterogeneities. The complete work consists of all files listed below. </p>
Rare Nature of Crystals of the Novel Multimeric Haloalkane Dehalogenase DpaA from Paraglaciecola agarilytica NO2.
<p>Manuscript reports on novel haloalkane dehalogenase DpaA isolated from a psychrophilic and halophilic bacterium <em>Paraglaciecola agarilytica</em> NO2 that was crystallized and two independent crystallization and data collection experiments resulted in several data sets with a resolution ranging from 2.2 to 3.7 Å. X-ray diffraction data analysis hinted at oligomeric nature of DpaA leading to certain issues with the solution of structure. Our results unveil a rare example of an oligomeric dehalogenase belonging the subfamily I as well as highlight new findings in the solution of crystallographic data with unusual crystal packing. The crystal structures of HLD-I subfamily already deposited into the PDB database are monomeric. There are only a few examples of oligomeric haloalkane dehalogenases from the other subfamilies HLD-II and HLD-III that can form dimers and tetramers. The crystal structures of enzymes from the HLD-III subfamily showing oligomeric properties in gel-filtration experiments have not been solved to date. DpaA’s propensity to oligomerization likely causes the problems with solution of the structure, such as pseudo-translation, in a wide range of crystallization conditions and across various crystal lattices. Our results contribute to explaining new findings in solving the structures of oligomeric proteins that exhibit unusual crystal packing and mark the DpaA enzyme as an uncommon oligomeric example of the HLD-I subfamily.</p>
Fibroblast-derived PI16 as a novel regulator of neuropathic pain
<p>Non-neuronal cells, including glia and leukocytes contribute to chronic pain. Here we identify fibroblasts secreting the protein PI16 as novel regulator of neuropathic pain. Mice deficient in PI16, a member of the CAP superfamily of proteases, are protected against neuropathic pain induced by spared nerve injury (SNI) or paclitaxel. SNI increases PI16 in fibroblasts and in vitro myofiborblast differentiation increases PI16 expression and secretion. In vitro, PI16 conditioned medium promotes migration of immune cells across the endothelial layer. Consistently, protection against neuropathic pain in PI16-/- mice was associated with reduced endothelial barrier permeability, lower leukocyte infiltration and reduced activation of the endothelial barrier regulator MLCK. Collectively our findings indicate that the fibroblast- derived protein PI16 promotes neuropathic pain by increasing vascular permeability and cellular infiltration. Due to its key role in pain and limited cellular distribution PI16 is an attractive novel target for pain management.</p>
Figure 5 in A novel species of sisorid catfish, Pseudecheneis nagalandensis sp. nov., (Teleostei: Sisoridae) from the Chindwin Basin of Nagaland, India
Figure 5. Tizu River, type locality of Pseudecheneis nagalandensis.
Figure 3 in A novel species of sisorid catfish, Pseudecheneis nagalandensis sp. nov., (Teleostei: Sisoridae) from the Chindwin Basin of Nagaland, India
Figure 3. Pelvic fin of Pseudecheneis nagalandensis sp. nov., showing presence of plicae.
Machine learning classification of archaea and bacteria identifies novel predictive genomic features
<p>Dataset used for the classification analysis of archaea and bacteria based on 77 genomic features calculated using GBRAP (GenBank Retrieving, Analyzing and Parsing) tool (Vischioni, C. et al. Gbrap: a tool to retrieve, parse and analyze genbank files of viral and bacterial species. bioRxiv 2021–09 (2021)).</p>
Figure 1 in The parasitic isopod Anilocra physodes, as a novel food source for the lizardfish Synodus saurus (Synodontidae)
Figure 1. - Terceira Island, Azores Archipelago (NE Atlantic). (•): Sampling locations.
Fig. 4 in The complete mitochondrial genome of Platygaster robiniae (Hymenoptera: Platygastridae): A novel tRNA secondary structure, gene rearrangements and phylogenetic implications
Fig. 4. (continued).
Fig. 3 in The complete mitochondrial genome of Platygaster robiniae (Hymenoptera: Platygastridae): A novel tRNA secondary structure, gene rearrangements and phylogenetic implications
Fig. 3. The secondary structure of 22 tRNA in Platygaster robiniae.
Fig. 2 in Molecular detection and characterization of a novel Theileria genotype in Dama Gazelle (Nanger dama)
Fig. 2. The clade credibility values of phylogram generated from bayesian analysis.
A Novel Integrated Reference-Counter Electrode for Electrochemical Measurements of HOMO and LUMO Levels in Small-Molecule Thin-Film Semiconductors for OLEDs
<p>This dataset <span>includes all raw data, processed data, and analysis scripts necessary to replicate the findings reported in the published paper.</span></p>
Combining AlphaFold with Focused Virtual Library Design in the Development of Novel CCR2 and CCR5 Antagonists
<p>Collection of code and data accompanying the manuscript titled "Combining AlphaFold with Focused Virtual Library Design in the Development of Novel CCR2 and CCR5 Antagonists ". Read the included README.md file for more information.</p>
Data Outputs: An analysis of proper nouns in Marian Keyes published novels 1995-2020.xlsx
<p>A data set analysing proper nouns in Marian Keyes' published novels 1995-2020 conducted for my Irish Research Council funded PhD thesis: </p> <ol> <li>Watermelon</li> <li>Lucy Sullivan is Getting Married</li> <li>Rachel's Holiday</li> <li>Last Chance Saloon</li> <li>Sushi for Beginners</li> <li>Angels</li> <li>The Other Side of the Story</li> <li>Anybody Out There?</li> <li>This Charming Man</li> <li>The Brightest Star in the Sky</li> <li>The Mystery of Mercy Close</li> <li>The Woman Who Stole My Life</li> <li>The Break</li> <li>Grown Ups</li> </ol> <p>The results are not statistically significant and therefore not incorporated into my final write up. </p> <p>The list of character names may be useful to incoroprate into a STOP list for anyone else seeking to analyse Keyes' novels via distant reading methods.</p>
Novel Endpoint Characterization Factors for Life Cycle Impact Assessment of Terrestrial Acidification
<p>This repository contains Excel files with the characterization factorsand the soil response factors for the publication entitled "Novel Endpoint Characterization Factors for Life Cycle Impact Assessment of Terrestrial Acidification", published in the "Journal of Ecological Indicators" .<br><br></p> <p>Content:</p> <p><strong>Datasets.zip</strong> is an folder containing the following Excel files: </p> <ul> <li><strong>CF_Terrestrial_Acidification_2024-08-01.xlsx</strong> with the following sheets <ul> <li><em>Dataframe</em> gathering terrestrial acidification marginal endpoint CF [PDF.yr/kg_emitted] values at country level (with the world average value), for 3 acidifying substances (NOx, NHx, SOx) at global and regional impact scales (with and without the inclusion of the Global Extinction Probability - GEP - respectively)</li> <li><em>Calc Info</em> summing up calculation informations</li> <li><em>Calc Table</em> registering input parameters used to run the calculations leading to the <em>Dataframe</em> sheet (substance used, original and adapted resolutions for emission and deposition compartments, resolutions for each CF components and spatial transformations, GEP normalization method)</li> </ul> </li> <li><strong>RF_NO3_2024-03-27.xlsx</strong> with the following sheet:<br> <ul> <li><em>RFs</em> containing the soil response values [(molH+ / L).(yr / kg_dep)] at ecoregion level (referred to as "idTarget") for a marginal increase of 10% in NO3 deposition rate. It also gathers the intermediate results leading the final RFs (sustances' deposition rates, reference and post-deposition increase pHs) </li> </ul> </li> <li><strong>RF_NH4_2024-03-25.xlsx</strong> with the following sheet:<br> <ul> <li><em>RFs</em> containing the soil response values [(molH+ / L).(yr / kg_dep)] at ecoregion level (referred to as "idTarget") for a marginal increase of 10% in NH4 deposition rate. It also gathers the intermediate results leading the final RFs (sustances' deposition rates, reference and post-deposition increase pHs)</li> </ul> </li> <li><strong>RF_SO4_2024-03-25.xlsx</strong> with the following sheet:<br> <ul> <li><em>RFs</em> containing the soil response values [(molH+ / L).(yr / kg_dep)] at ecoregion level (referred to as "idTarget") for a marginal increase of 10% in SO4 deposition rate. It also gathers the intermediate results leading the final RFs (sustances' deposition rates, reference and post-deposition increase pHs)</li> </ul> </li> </ul>
DIVERSE: Deciphering Internet Views on the U.S. Military Through Video Comment Stance Analysis: A Novel Benchmark Dataset for Stance Classification
<p>Paper citation: Cruickshank, Iain J., and Lynnette Hui Xian Ng. "DIVERSE: Deciphering Internet Views on the US Military Through Video Comment Stance Analysis, A Novel Benchmark Dataset for Stance Classification." <em>arXiv preprint arXiv:2403.03334</em> (2024).</p> <p>Link to paper: https://arxiv.org/abs/2403.03334</p>
IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection (part 5)
<p>This is part 5 of the IDNet dataset of our research paper "IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection". Here's a link to the paper: https://arxiv.org/pdf/2408.01690</p> <p>Citation:</p> <p>@article{guan2024idnet,<br> title={IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection},<br> author={Guan, Hong and Wang, Yancheng and Xie, Lulu and Nag, Soham and Goel, Rajeev and Swamy, Niranjan Erappa Narayana and Yang, Yingzhen and Xiao, Chaowei and Prisby, Jonathan and Maciejewski, Ross and Zou, Jia},<br> journal={arXiv preprint arXiv:2408.01690},<br> year={2024}<br>}</p>
IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection (part 1)
<p>This is part 1 of the IDNet dataset of our research paper "IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection". Here's a link to the paper: https://arxiv.org/pdf/2408.01690</p> <p>Citation:</p> <p>@article{guan2024idnet,<br> title={IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection},<br> author={Guan, Hong and Wang, Yancheng and Xie, Lulu and Nag, Soham and Goel, Rajeev and Swamy, Niranjan Erappa Narayana and Yang, Yingzhen and Xiao, Chaowei and Prisby, Jonathan and Maciejewski, Ross and Zou, Jia},<br> journal={arXiv preprint arXiv:2408.01690},<br> year={2024}<br>}</p>
IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection (part 4)
<p>This is part 4 of the IDNet dataset of our research paper "IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection". Here's a link to the paper: https://arxiv.org/pdf/2408.01690</p> <p>Citation:</p> <p>@article{guan2024idnet,<br> title={IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection},<br> author={Guan, Hong and Wang, Yancheng and Xie, Lulu and Nag, Soham and Goel, Rajeev and Swamy, Niranjan Erappa Narayana and Yang, Yingzhen and Xiao, Chaowei and Prisby, Jonathan and Maciejewski, Ross and Zou, Jia},<br> journal={arXiv preprint arXiv:2408.01690},<br> year={2024}<br>}</p>
IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection (part 3)
<p>This is part 3 of the IDNet dataset of our research paper "IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection". Here's a link to the paper: https://arxiv.org/pdf/2408.01690</p> <p>Citation:</p> <p>@article{guan2024idnet,<br> title={IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection},<br> author={Guan, Hong and Wang, Yancheng and Xie, Lulu and Nag, Soham and Goel, Rajeev and Swamy, Niranjan Erappa Narayana and Yang, Yingzhen and Xiao, Chaowei and Prisby, Jonathan and Maciejewski, Ross and Zou, Jia},<br> journal={arXiv preprint arXiv:2408.01690},<br> year={2024}<br>}</p>
IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection (part 2)
<p>This is part 2 of the IDNet dataset of our research paper "IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection". Here's a link to the paper: https://arxiv.org/pdf/2408.01690</p> <p>Citation:</p> <p>@article{guan2024idnet,<br> title={IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection},<br> author={Guan, Hong and Wang, Yancheng and Xie, Lulu and Nag, Soham and Goel, Rajeev and Swamy, Niranjan Erappa Narayana and Yang, Yingzhen and Xiao, Chaowei and Prisby, Jonathan and Maciejewski, Ross and Zou, Jia},<br> journal={arXiv preprint arXiv:2408.01690},<br> year={2024}<br>}</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.