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- Type:
- Document
- Description/Abstract:
- CHAPTERS 1- 18: Supplement to Prof. Larry Bennett’s textbook, FIRE SERVICE LAW (SECOND EDITION), Jan. 2017: http://www.waveland.com/browse.php?t=708 SEE ALSO RECENT PUBLISHED COURT DECISIONS [NOV. 2018-PRESENT] FOR 18 CHAPTERS: From Prof. Bennett’s Fire & EMS Law monthly newsletters [send him e-mail if wish to receive] https://scholar.uc.edu/concern/documents/n870zs553?locale=en
- Creator/Author:
- Bennett, Lawrence
- Submitter:
- Lawrence Bennett
- Date Uploaded:
- 07/27/2021
- Date Modified:
- 01/18/2023
- Date Created:
- 2021-07
- License:
- Attribution 4.0 International
-
- Type:
- Document
- Description/Abstract:
- Monthly newsletter for Fire and EMS.
- Creator/Author:
- Bennett, Lawrence
- Submitter:
- Lawrence Bennett
- Date Uploaded:
- 11/02/2020
- Date Modified:
- 01/02/2023
- Date Created:
- 2020-11
- License:
- Attribution 4.0 International
-
- Type:
- Document
- Description/Abstract:
- Pet Therapy mental support for fire, EMS, police and 911 Dispatchers.
- Creator/Author:
- Bennett, Lawrence
- Submitter:
- Lawrence Bennett
- Date Uploaded:
- 10/24/2022
- Date Modified:
- 12/30/2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- The Dataset contains raw data that indicates the start and stop time of water flowing at fixtures in the Marian Spencer Hall Cafeteria restroom during hours of operation. The data were collected as part of an effort to develop and test a novel method of measuring flow to calculate the probability that the fixture is busy (fixture p-value). The fixture p-value is one of the parameters necessary to predict peak demand in buildings for pipe sizing purposes. There are two .csv files, a README file and a sample of the data collection template with contact information. The dataset also contains a MATLAB code written to accept data in the suggested format and estimate the fixture probability of use.
- Creator/Author:
- Choudhary, Chandrashekhar ; Omaghomi, Toju; Buchberger, Steven; Wang, Tianshuo, and Tao, Li
- Submitter:
- Toju Omaghomi
- Date Uploaded:
- 12/19/2022
- Date Modified:
- 12/19/2022
- Date Created:
- 2022-12
- License:
- Open Data Commons Open Database License (ODbL)
-
- Type:
- Dataset
- Description/Abstract:
- Data and code used for the analysis of the effects of weather on the fall migration of eastern monarch butterflies.
- Creator/Author:
- Matter, Stephen F.; Guerra, Patrick ; Parlin, Adam ; Rich, Jeremy, and Taylor, Orley R.
- Submitter:
- Stephen F. Matter
- Date Uploaded:
- 07/03/2022
- Date Modified:
- 11/28/2022
- Date Created:
- 2022
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Generic Work
- Description/Abstract:
- Aurek Chattopadhyay, Reagan Maddox, Glen Horton, Nan Niu, Ganesh Malla, Tanmay Bhowmik, Jianzhang Zhang, and Juha Savolainen, Completeness of Natural Language Requirements: A Comparative Study of User Stories and Feature Descriptions (submitted to REFSQ 2023: https://2023.refsq.org)
- Creator/Author:
- Chattopadhyay, Aurek and Niu, Nan
- Submitter:
- Aurek Chattopadhyay
- Date Uploaded:
- 11/21/2022
- Date Modified:
- 11/21/2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
Coherence Evaluations for 'Model of Models' Methods
User Collection- Type:
- Collection
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / Chicago Novel Corpus [nvl] / Newspaper Corpus [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- License:
- Open Data Commons Attribution License (ODC-By)
0Collections20Works -
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/03/2022
- Date Modified:
- 11/17/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)