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914 results for “filtered”
Additional ASAS-SN Variable Star Python CSV filters
<p>Additional ASAS-SN Variable Star Python CSV filters</p>
WP2T3_DataN3 Screening of tar catalysts for catalytic filter (UNIVAQ)
<p>Raw results of laboratory-scale Study of Nickel-catalyst Pellets Performance for Tar Steam Reforming Obtained from Biomass Gasification (<a href="https://doi.org/10.3303/CET2292110">https://doi.org/10.3303/CET2292110</a>)</p>
Files for Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation
<p>This are the files needed for running the experiments of "Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation".</p> <ul> <li> <p>listening_events.tsv.bz2 : Dataset excerpt from <a href="http://www.cp.jku.at/datasets/LFM-2b/">LFM-2b</a>, before filtering (see submission for details)</p> </li> <li> <p>BPR_item_embeddings.tsv.bz2 : Item embeddings obtained from the pre-trained BPR instance</p> </li> <li> <p>user_split.tar.bz2 : csv file of the listening history of each user</p> </li> <li> <p>2023_recsys_actr_poster.pdf ; poster presented at RecSys 2023</p> </li> </ul> <p>The code for running the experiments is available on <a href="https://github.com/hcai-mms/actr">GitHub</a><br> <br> If you use these files, please cite<br> </p> <blockquote> <p>@inproceedings{10.1145/3604915.3608838,<br> author = {Moscati, Marta and Wallmann, Christian and Reiter-Haas, Markus and Kowald, Dominik and Lex, Elisabeth and Schedl, Markus},<br> title = {Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation},<br> year = {2023},<br> isbn = {9798400702419},<br> publisher = {Association for Computing Machinery},<br> address = {New York, NY, USA},<br> url = {https://doi.org/10.1145/3604915.3608838},<br> doi = {10.1145/3604915.3608838},<br> abstract = {Music listening sessions often consist of sequences including repeating tracks. Modeling such relistening behavior with models of human memory has been proven effective in predicting the next track of a session. However, these models intrinsically lack the capability of recommending novel tracks that the target user has not listened to in the past. Collaborative filtering strategies, on the contrary, provide novel recommendations by leveraging past collective behaviors but are often limited in their ability to provide explanations. To narrow this gap, we propose four hybrid algorithms that integrate collaborative filtering with the cognitive architecture ACT-R. We compare their performance in terms of accuracy, novelty, diversity, and popularity bias, to baselines of different types, including pure ACT-R, kNN-based, and neural-networks-based approaches. We show that the proposed algorithms are able to achieve the best performances in terms of novelty and diversity, and simultaneously achieve a higher accuracy of recommendation with respect to pure ACT-R models. Furthermore, we illustrate how the proposed models can provide explainable recommendations.},<br> booktitle = {Proceedings of the 17th ACM Conference on Recommender Systems},<br> pages = {840–847},<br> numpages = {8},<br> keywords = {Music Recommender Systems, Psychology-Informed Recommender Systems, Collaborative Filtering, Adaptive Control Thought-Rational (ACT-R), Sequential Recommendation, Explainability},<br> location = {Singapore, Singapore},<br> series = {RecSys '23}<br> }</p> </blockquote> <p>This research was funded in whole, or in part, by the Austrian Science Funds (FWF): P33526 and DFH-23, and by the State of Upper Austria and the Federal Ministry of Education, Science, and Research, through grant LIT-2020-9-SEE-113.</p>
Data from: Forest age is a primary trait filter for saproxylic beetles in the southeastern United States
<p>Data from: Forest age is a primary trait filter for saproxylic beetles in the southeastern United States</p> <p>Clayton R. Traylor, Michael D. Ulyshen, Joseph V. McHugh, Ryan C. Burner</p> <p>Forest Ecology and Management 553: 121545. </p> <p><a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.foreco.2023.121545" target="_blank" rel="noreferrer noopener"><span>https://doi.org/10.1016/j.foreco.2023.121545</span></a> </p> <p> </p> <p>Corresponding author: Clayton R. Traylor, <a href="mailto:clayton.r.traylor@gmail.com">clayton.r.traylor@gmail.com</a></p> <p> </p> <p> </p> <p><strong>Abstract</strong></p> <p>Many forests throughout the world consist of regenerating mature stands. Although these forests differ in many respects from old-growth (with a history of minimal human disturbance), they typically develop similar structural attributes over time. As a result, older mature forests may be of particular conservation value if they contain resources and microhabitats benefitting saproxylic (deadwood dependent) species. Species' response to forest age may be driven by traits that relate to ecological functions or habitat preferences, such that species with less compatible traits for a local forest environment are "filtered" out. Thus, forest age may influence species' distributions and the trait composition of assembled communities. </p> <p>The Piedmont region of the southeastern United States has experienced widespread forest regrowth over the past century due to agricultural abandonment. Today's landscapes are largely characterized by mature forests that are becoming increasingly fragmented by suburbanization. Here, we assessed the filtering effects of forest age, landscape forest cover (LFC), and deadwood volume on saproxylic beetles in northeastern Georgia. Using historic aerial imagery to distinguish forest age (young = regrown after 1938; old = mature in 1938), we sampled beetles in mature forests of both age classes occurring along an LFC gradient. We measured five traits with hypothesized functional roles (body length, body width, body roundness, antenna length, eye length) for the 472 species captured. Using a joint species distribution model (JSDM), we tested trait-niche relationships (i.e., how traits influence species' responses) and estimated community trait composition (mean and dispersion of trait values) along gradients of environmental filters.</p> <p>We found that forest age is a filter for several traits (six supported relationships with >95% posterior probability), but LFC and deadwood volume were less strongly related to fewer traits. Most notably, large species (typically having lower population sizes and requiring stable larval habitat) were filtered from young mature forests and low LFC. Thus, old mature forests with high LFC showed higher mean and dispersion of beetle body length. Sensory traits also showed responses, likely reflecting adult life under bark (eye length) or ability to detect resources or mates (antenna length). Body width and roundness showed inconsistent responses with regard to indicated functional roles. Our results show that forest age is a strong filter on saproxylic beetle communities in the southeastern United States. Old mature forests, despite their scarcity in the region, are important for species requiring habitat stability and for maintaining communities with diverse trait composition.</p> <p> </p>
All optical tunable RF filter using elemental antimony - Supplementary materials
<p>In the past decade, the proliferation of modern telecommunication technologies, including 5G, and the widespread adoption of the Internet-of-things (IoT) have led to an unprecedented surge in data generation and transmission. This surge has created an escalating demand for advanced signal processing capabilities. Microwave photonic (MWP) processors offer a promising solution to satisfy this unprecedented demand for data processing by capitalising on the high bandwidth and low latency achievable by optical systems. In this work, we introduce an integrated MWP processing unit for all-optical RF filtering using elemental antimony. We exploit the crystallisation dynamics of antimony to demonstrate a photonic leaky integrator, which is configured to operate as a first-order low-pass filter with a bandwidth of 300 kHz and ultra-compact footprint of 16 × 16 μm2. We experimentally demonstrate the implementation of such a filter as an envelope detector to demodulate an amplitude-modulated signal. Finally, a discussion on achieving bandwidth tunability is presented.</p>
A Prospective, Multi-Center Study of the Bard® Denali™ Retrievable Inferior Vena Cava Filter System
ClinicalTrials.gov study NCT01305564. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
GORE Flow Reversal System and GORE Embolic Filter Extension Study
ClinicalTrials.gov study NCT01343667. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Telehealth-Filter Ventilation ( COMET2P1 )
ClinicalTrials.gov study NCT04969783. IPD Sharing: YES. Countries: 1. Publications: 0.
Effects of Sun Filters on Age-related Macular Degeneration in People With Lens Implants
ClinicalTrials.gov study NCT00487838. IPD Sharing: Not stated. Countries: 0. Publications: 3.
Cook IVC Filter Study
ClinicalTrials.gov study NCT02046096. IPD Sharing: Not stated. Countries: 3. Publications: 0.
Validation of Senofilcon A With New UV / HEV Filter
ClinicalTrials.gov study NCT05099380. IPD Sharing: YES. Countries: 1. Publications: 0.
Filtered Trial for Amlodipine Non-responder
ClinicalTrials.gov study NCT00558064. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effects of Filter Ventilation and Ventilation Information on Product Use Behaviors in Cigarette Smokers
ClinicalTrials.gov study NCT04744285. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Clinical Investigation for New Filter to Ostomy Bags
ClinicalTrials.gov study NCT01273038. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of Filtering Bleb After Glaucoma Surgery by AS-OCTA
ClinicalTrials.gov study NCT04515017. IPD Sharing: NO. Countries: 0. Publications: 2.
Anticoagulation and Inferior Vena Cava Filters in Cancer Patients With a Venous Thromboembolism
ClinicalTrials.gov study NCT00423683. IPD Sharing: NO. Countries: 1. Publications: 0.
Fluorouracil Filtering Surgery Study (FFSS)
ClinicalTrials.gov study NCT00000122. IPD Sharing: Not stated. Countries: 0. Publications: 4.
COMET Study 1: Filter Ventilated Cigarette Substitution in the ETM
ClinicalTrials.gov study NCT03306173. IPD Sharing: YES. Countries: 1. Publications: 0.
In-line Filters on ICU
ClinicalTrials.gov study NCT02281604. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Trial of Ceramic Water Filters to Reduce Cryptosporidium Infection in Kenya
ClinicalTrials.gov study NCT01695304. IPD Sharing: YES. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
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.