Search Constraints
« Previous |
1 - 10 of 12,751
|
Next »
Number of results to display per page
Search Results
-
- Type:
- Document
- Description/Abstract:
- The computer metaphor of mind and brain states broadly that the brain is the control organ for the body. This implies that brain (including mind) and physical body are separable from each other and the physical and social environment. Given the dominance of computing technology in daily life, many brain researchers and subsequently also engineers are furthermore compelled to take brain-computer analogies not as metaphors but as literal descriptions of brain function. These two fundamental assumptions manifest as overwhelming challenges when pursuing synthetic rather than analytic approaches, i.e., when we attempt to computationally control artificial bodies such as robots, especially when co-located with humans. I will discuss the computational brain metaphor from the perspective of bodies for whom computational control is a reality – robots, and their creators – engineers. Rather than presenting new metaphors, I will use evidence from control engineering and human-robot interaction to argue for a shift of thought: if we can enrich how engineers approach robotic control, new robots could offer powerful momentum to shifting the scientific opinion towards embracing a less dualistic, more holistic view of the brain’s embedding in body and world.
- Creator/Author:
- Lorenz, Tamara
- Submitter:
- Tamara Lorenz
- Date Uploaded:
- 06/15/2026
- Date Modified:
- 06/15/2026
- Date Created:
- 2026
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- 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:
- 06/11/2026
- Date Created:
- 2021-07
- License:
- Attribution 4.0 International
-
- Type:
- Document
- Description/Abstract:
- American History text to be used in A&S Interdisciplinary Studies online courses.
- Creator/Author:
- Bennett, Lawrence
- Submitter:
- Lawrence Bennett
- Date Uploaded:
- 10/24/2022
- Date Modified:
- 06/09/2026
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- Varieties of International Cyber Strategies (VoICS): Text Analysis of National Cybersecurity Documents is a project that compares and contrasts the three main approaches to conceptualize national cybersecurity strategies (NSS): deterrence, norm-based approach (NBA) and cyber persistence engagement (CPE). Scholars and policymakers have initially conceptualized NSS in terms of deterrence or NBA. More recent academic research has demonstrated that these frameworks are inadequate for cyber space. As a result, Cyber Persistence Engagement (CPE) emerged as a third option. The first version (1.0) of the VoICS database on National Cybersecurity Strategies focuses on nations in Europe and North America and includes a total of 77 NCS of the states in the North Atlantic Area—NATO allies, EU members and Switzerland—released from 2003 until the end of 2023. The current version (1.3) includes 83 strategies from 36 allies and partners. It consists of 27 variables, including country and strategy identifiers, EU and NATO membership, their respective accession dates, and total length of the documents. VoICS include eighteen variables representing different measures of relative and absolute weights of the three NSS types—deterrence, NBA and CPE. The text analysis is based on official NSS documents provided by the NATO Cooperative Cyber Defence Centre of Excellence library (2024) and ENISA’s interactive map for National Cyber Security Strategies (2023). Both sources rely on voluntary submission from the member states. Unfortunately, some official documents were not available or accessible or were not listed at all. Authors have used various sources and contacts with a variety of cyber attachés in Brussels to determine if any additional strategies were released and to obtain the missing documents. The 18 text analysis variables compare and contrast the extent to which different NCS are associated with a specific strategy. They represent different frequency scores based either on words, phrases, or words and phrases combined. These calculations are associated with either deterrence, NBA, or CPE in each strategy. The authors have generated respective vocabularies for the three strategic ideas through which each of these approaches are operationalized. We have conducted a text analysis using WordStat text analysis software by Provialis ( https://provalisresearch.com/products/content-analysis-software/). A detailed codebook for NSS Dataset 1.2 and Dataset 1.3 along with a NSS Dictionary 1.2&1.3 have been included in this collection/ repository. The process of generating vocabulary associated with the three cybersecurity approaches involved several steps. First, upon reviewing the literature, the authors generated independently a list of words and phrases associated with each type of cybersecurity strategy. Second, the authors compared their lists to determine the degree of overlap in vocabulary. Those words and phrases that included in at least two different lists were reviewed and, if there was consensus, were incorporated in the dictionary. Finally, words and phrases which were identified in only one of lists were once again reviewed and, in case there was a consensus among the authors, these were also included in the dictionary. Third, the three vocabularies were updated on several instances when it was unanimously agreed that these words or phrases should be included in the analysis.
- Creator/Author:
- Millard, Matthew; Kovac, Igor, and Ivanov, Ivan Dinev
- Submitter:
- Ivan Ivanov
- Date Uploaded:
- 05/12/2025
- Date Modified:
- 06/04/2026
- Date Created:
- 2025-04-18
- License:
- All rights reserved
-
R01 NIGMS 2025_2029
User Collection
- Type:
- Collection
- Description/Abstract:
- This collection is for works and publications related to NIGMS R01 (2025_2029).
- Creator/Author:
- Hong, Christian
- Submitter:
- Christian Hong
- License:
- All rights reserved
0Collections0Works -
- Type:
- Article
- Description/Abstract:
- Latent variables and causal inference are central to implementing empirical research and advancing substantive theory across the social sciences. Conventional latent variable frameworks such as structural equation modeling (SEM) are constrained by several simplifying assumptions (e.g., linearity, additivity, correct model specification). In this study, we relax key SEM assumptions by building data adaptive estimation methods for causal inference with latent variables. We developed a theory-driven Targeted After Generative (TAG) learning framework that integrates SEM-informed variational autoencoders (SEM VAEs) with targeted machine learning to estimate the average treatment effect. On the generative side, the SEM VAE encodes theory aligned neural networks that learn latent variable distributions through flexible joint modeling of measurement and structural parameters. On the targeted learning side, we construct an efficient influence function for the treatment effect with the SEM-VAE implied posterior distribution of the latent variables to estimate the average effect. Across simulations, the TAG learning approach outperforms alternative approaches and demonstrates low to no bias even in adverse conditions. TAG learning offers a theory-driven flexible approach with methodological promise for causally interpretable data-adaptive analysis with latent variables. More practically, the framework allows estimation of causal effects involving latent variables even in the presence of unknown functional relationships in the measurement and structural models (e.g., data adaptive effect estimation for nonlinear/nonadditive SEMs).
- Creator/Author:
- Kelcey, Ben; Ataneka, Amota, and Habarurema, Jean-Baptiste
- Submitter:
- Ben Kelcey
- Date Uploaded:
- 06/02/2026
- Date Modified:
- 06/03/2026
- Date Created:
- 05-20-26
- License:
- Attribution 4.0 International
-
- Type:
- Dataset
- Description/Abstract:
- This dataset contains an original article, "Maya Pottery Red: Hue as a Perceptual Prior for Object Detection in Remote Sensing for Drone-based Areal Survey of Maya Settlements" and supplementary material for the article, including results and source data.
- Creator/Author:
- Britton, Benjamin; Dunning, Nicholas, and McLellan, Alec
- Submitter:
- Benjamin Britton
- Date Uploaded:
- 03/22/2026
- Date Modified:
- 06/01/2026
- Date Created:
- 2026-03-31
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Document
- Description/Abstract:
- Monthly newsletter for Fire and EMS.
- Creator/Author:
- Bennett, Lawrence
- Submitter:
- Lawrence Bennett
- Date Uploaded:
- 11/02/2020
- Date Modified:
- 05/31/2026
- Date Created:
- 2020-11
- License:
- Attribution 4.0 International
-
- Type:
- Article
- Description/Abstract:
- This archeometric study analyzed local clay deposits at the Ingels Family Farm, settled in the Early Nineteenth Century in Bourbon County Kentucky. The redware pottery made on site was bartered and sold in the region, and the clay deposits were also used to make the bricks that constructed the 1820 Ingels family residence, still extant as of May 2026. Numerous materials characterization techniques including XRD, XRF, DTA/TGA, Spectroscopy, wet chemical analysis, and SEM were used to determine the characteristics of the local clay deposit and the identifying characteristics of the redware. The study also tested the wares to determine an approximate firing range, which was consistent with the requirements of low-to-mid fired earthenware. This study was done using archaeological materials from a previous archaeological investigation of the farm, but new material was added with the assistance the USDA Soil Survey Office in Kentucky, who drilled core samples for the project in Spring 2012.
- Creator/Author:
- Carr-Trebelhorn, Julia; O'Malley, Nancy, Assistant Director, University of KY Museum of Anthropology, and Eitel, Richard, University of KY Department of Materials Science
- Submitter:
- Julia Carr-Trebelhorn
- Date Uploaded:
- 05/30/2026
- Date Modified:
- 05/30/2026
- Date Created:
- 2013-05-01
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
Materials Science, Art Materials, Archaeometry, and Ceramics
User Collection
- Type:
- Collection
- Description/Abstract:
- The documents in this collection relate to writings on the subject of archaeometry, technical ceramics, artists materials, and historical research. Techniques such as X-ray Diffraction, X-Ray Fluorescence, Spectroscopy, wet chemical analysis are used to analyze historical and contemporary materials.
- Creator/Author:
- Carr-Trebelhorn, Julia
- Submitter:
- Julia Carr-Trebelhorn
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
0Collections1Works
