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Metaphors We Love By: A cognitive Linguistic Analysis of Conceptual Metaphors of Love in Metropolitan French and American English
What began with intensive background research, has developed into an extensive project which offers a cognitive linguistic analysis of conceptual metaphors of love in both English and French based on corpora linguistic data. -
A Methodology for the Implementation and Maintenance Of a Data Warehouse
(1995-12-01)A methodology for the implementation and maintenance of a data warehouse is described. The data warehouse forms the basis for a marketing decision support system for use by a large surgical equipment manufacturer and ... -
Miami University Deception Detection Database
Lloyd, Deska, Hugenberg, McConnell, Humphrey, & Kunstman (2017) created the Miami University Deception Detection Database (MU3D) for research purposes. The MU3D is a free resource containing 320 videos of Black and White ... -
Micro-CT and SEM images of 3D scaffolds
These files contain Microcomputed tomography (micro-CT) and Scanning Electron Microscopy (SEM) images generated at the University of Cincinnati and Miami University. These are unpublished results and will be included in ... -
Migration and Update to CONTENTdm 6.1
(2014-03-26)Slides from presentation given on experiences in migrating from DSpace to CONTENTdm and importing the CONTENTdm viewer into an Omeka exhibit. -
Mind the Sharks: Guiding Faculty Through the Sometimes Perilous Waters of Open Access Publishing
Open access, predatory journals and conferences can ensnare unwary tenure-track faculty trying to complete their scholarship responsibilities. Articles and proposals accepted by these entities can hinder instructors from ... -
Minding Your Ps & Qs: A Q-Methodology Workshop
Librarians are continually turning to new metrics to evaluate services, impact, and priorities. Q-methodology - a hybrid of qualitative and quantitative research techniques - is a systematic study of subjectivity that ... -
Mineral identification numbers for librarians, explained through a short history of Dana's classification scheme
Many chemistry librarians are likely familiar with chemical identifiers, such as CAS Registry Numbers or InChI strings, that serve as unique IDs for chemicals, which attempts to overcome the challenges in searching the ... -
Mixture modeling of data with multiple partial right-censoring levels
In this paper, a new flexible approach to modeling data with multiple partial right-censoring points is proposed. This method is based on finite mixture models, flexible tool to model heterogeneity in data. A general ... -
Mobile : place-making and community in mobile architecture
(2012-09-20) -
MOBILE: Placmaking and Community in Mobile Architecture
(2012-09-20) -
Modeling Frequency and Severity of Claims with the Zero-Inflated Generalized Cluster-Weighted Models
In this paper, we propose two important extensions to cluster-weighted models (CWMs). First, we extend CWMs to have generalized cluster-weighted models (GCWMs) by allowing modeling of non-Gaussian distribution of the ... -
Modeling Impact of Hurricane Damages on Income Distribution in the Coastal U.S.
This article examines the impact of catastrophic hurricane events on income distribution in hurricane states in the United States. Media claims have been made and the perception created that the most damaging impact ... -
Modeling Impact of Natural Hazard- Induced Disasters on Income Distribution in the United States
Economic damage due to hurricane activities has been shown to impact income inequality in the coastal states of the United States. We consider 17 other natural hazards, in addition to hurricanes, that affected the ... -
Modeling Job Satisfaction in Southern Ohio
This study investigates the relationship between the various characteristics of both an individual and their job as a means to explain their overall satisfaction with that job. We will specifically focus on employed persons ... -
Modeling loss data using mixtures of distributions
In this paper, we propose an alternative approach for flexible modeling of heavy tailed, skewed insurance loss data exhibiting multimodality, such as the well-known data set on Danish Fire losses. Our approach is based on ...