U.S. Marine Corps Organizational Culture Research Project: Notice of Data Availability in Qualitative Data Repository

2021 ◽  
Author(s):  
Kerry Fosher
2020 ◽  
Vol 44 (1) ◽  
pp. 14-32
Author(s):  
Kerry B. Fosher ◽  
Rebecca Lane ◽  
Erika Tarzi ◽  
Kristin Post ◽  
Eric M. Gauldin ◽  
...  

Geosciences ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 243
Author(s):  
Hernandez-Martinez Francisco G. ◽  
Al-Tabbaa Abir ◽  
Medina-Cetina Zenon ◽  
Yousefpour Negin

This paper presents the experimental database and corresponding statistical analysis (Part I), which serves as a basis to perform the corresponding parametric analysis and machine learning modelling (Part II) of a comprehensive study on organic soil strength and stiffness, stabilized via the wet soil mixing method. The experimental database includes unconfined compression tests performed under laboratory-controlled conditions to investigate the impact of soil type, the soil’s organic content, the soil’s initial natural water content, binder type, binder quantity, grout to soil ratio, water to binder ratio, curing time, temperature, curing relative humidity and carbon dioxide content on the stabilized organic specimens’ stiffness and strength. A descriptive statistical analysis complements the description of the experimental database, along with a qualitative study on the stabilization hydration process via scanning electron microscopy images. Results confirmed findings on the use of Portland cement alone and a mix of Portland cement with ground granulated blast furnace slag as suitable binders for soil stabilization. Findings on mixes including lime and magnesium oxide cements demonstrated minimal stabilization. Specimen size affected stiffness, but not the strength for mixes of peat and Portland cement. The experimental database, along with all produced data analyses, are available at the Texas Data Repository as indicated in the Data Availability Statement below, to allow for data reproducibility and promote the use of artificial intelligence and machine learning competing modelling techniques as the ones presented in Part II of this paper.


2016 ◽  
Vol 77 (2) ◽  
pp. 197-211 ◽  
Author(s):  
Phil Jones ◽  
Julia Bauder ◽  
Kevin Engel

Grinnell College participated in ACRL’s first cohort of Assessment in Action (AiA), undertaking a mixed-methods action research project to assess the effectiveness of librarian-led research literacy sessions in improving students’ research skills. The quantitative data showed that the quality of students’ sources did not markedly improve following a research literacy session, while the qualitative data indicated that many students were able to state and describe important research concepts they learned. This article profiles the development of Grinnell’s AiA project and discusses how Grinnell’s librarians responded when the initial results led to more questions rather than to satisfactory answers.


2005 ◽  
Vol 5 (1) ◽  
pp. 25-32 ◽  
Author(s):  
Anthea Rutter ◽  
Maggie McGuiness ◽  
Suresh Sundram ◽  
Wayne Chamley ◽  
Kylee Bellingham ◽  
...  

The Depression Awareness Research Project was funded to develop, implement and evaluate a community-focused model designed to raise awareness of major depression1. It was piloted in five locations in Victoria from 2001-2004. This paper presents the findings of an analysis of qualitative data collected from a variety of stakeholders during and after the project.


Author(s):  
Laura Macia

In this article I discuss cluster analysis as an exploratory tool to support the identification of associations within qualitative data. While not appropriate for all qualitative projects, cluster analysis can be particularly helpful in identifying patterns where numerous cases are studied. I use as illustration a research project on Latino grievances to offer a detailed explanation of the main steps in cluster analysis, providing specific considerations for its use with qualitative data. I specifically describe the issues of data transformation, the choice of clustering methods and similarity measures, the identification of a cluster solution, and the interpretation of the data in a qualitative context.


2021 ◽  
Author(s):  
Mirja Pavić ◽  
Staša Borović ◽  
Maja Briški ◽  
Tihomir Frangen ◽  
Kosta Urumović

<p>The increase in thermal water utilisation is foreseen by many European and Croatian strategic documents regulating energetics, tourism, environmental protection and sustainable development. Croatian Geological Survey wishes to establish a multidisciplinary group for hydrothermal systems research which will contribute to responsible geothermal development in our country through a 5-year research project HyTheC which started in 2020.</p><p>Pannonian part of Croatia has favourable geothermal characteristics and natural thermal water springs emerge at two dozen localities, with temperatures up to 65 °C. These waters have been used for millennia, and in the past fifty years they are a basis for the development of tourism and health care centres which use the thermal water resource for heating, therapy and recreation (Borović & Marković, 2015). As their water demand increased, higher quantities were abstracted and additional intake structures and wells were constructed.</p><p>Thermal springs are part of hydrothermal systems which include: recharge areas in the mountainous hinterlands of the springs; geothermal aquifers - in Croatia mostly fractured and karstified Mesozoic carbonate rocks (Borović et al., 2016) - in which water resides and gets heated due to heat flow from the Earth; and discharge areas in places with favourable structural characteristics of higher permeability. The continuous functioning of such systems depends on a delicate balance between groundwater flow velocities, precipitation/dissolution processes and structural framework.</p><p>In order to maintain that balance and use thermal water resources in a sustainable manner, a system-level understanding is required. Multidisciplinary methodology (structural geology, hydrogeology, geothermal, hydrogeochemical and geophysical research and remote sensing) will be used to construct conceptual models of systems, perform 3D geological modelling, hydrogeological and thermal parametrisation of the geological units involved in the thermal fluid flow, and conduct numerical simulations of system functioning in undisturbed conditions and with different extraction scenarios.</p><p>This methodology will be tested in three pilot areas in Croatia where thermal water is being utilized (Daruvar, Hrvatsko zagorje and Topusko). These three areas have significantly different levels of initial data availability and it shall therefore be determined which methodology and order of application of different methods should be applied while researching the systems with considerable existing data, medium amount of data and very scarce data, respectively.</p><p>Keywords : hydrothermal system, natural thermal spring, multidisciplinary research, Croatia</p><p>References</p><p>Borović, S. & Marković, T. 2015 : Utilization and tourism valorisation of geothermal waters in Croatia. Renewable and Sustainable Energy Reviews, 44, pp. 52-63.</p><p>Borović, S., Marković, T., Larva, O., Brkić, Ž. & Mraz, V. 2016 : Mineral and Thermal Waters in the Croatian Part of the Pannonian Basin. U: Papić, P., ur., Mineral and Thermal Waters of Southeastern Europe. Cham: Springer, pp. 31-45.</p><p> </p><p>ACKNOWLEDGMENT</p><p>The Installation Research project HyTheC (UIP-2019-04-1218) is funded by the Croatian Science Foundation.</p>


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