Social and Behavioral Sciences Commons^™

Building Disaster Resilience To Address Household Food Security: The Case Of Sta. Rosa-Silang Subwatershed, Roberto F. Ranola Jr., Mi Cuesta, Bam Zaraf

Journal of Economics, Management and Agricultural Development

The Laguna Lake Region is one of the places in the Philippines that are most vulnerable to natural disasters because of their location and ecological condition. Among the natural calamities that regularly hit the country, one of the most frequent and disastrous is flooding. The most affected are the poor who are faced with the double risk of being food insecure and living in conditions that are very vulnerable to natural hazards. The most negative and long-term effect of flooding is reduction in food security because flooding erodes the asset base of households that in turn results in the adoption …

Socio-Economic And Environmental Assessment Of A Microcontroller-Based Coffee Roasting Machine: Implications For Market Potential And Technology Commercialization, Ruel M. Mojica, Marilyn M. Elauria

Journal of Economics, Management and Agricultural Development

The study assesses the socio-economic and environmental performance leading to the commercialization of the micro-controller-based coffee roasting machine for smallscale roasting operations. Key informant interview and coffee farmers’ survey were conducted to assess the farmer- respondents’ perceptions of coffee roasting machines and availability of resources. Results show that the designed coffee roaster almost fits the farmers’ criteria in selecting coffee roasting machine. Coffee farmers perceived the machine to be a very good technology as evidenced by its highly acceptable rating. Investment analysis reveals that using the roaster for custom work would be a profitable business with an IRR of 76% …

Putting Impact First: Community-University Partnerships To Advance Authentic Neighborhood Sustainability, Michelle L. Holliday, Tony Defalco, Jacob Sherman

Institute for Sustainable Solutions Publications and Presentations

This article profiles a partnership between the Living Cully ecodistrict and Portland State University’s Sustainable Neighborhoods Initiative. The case studies presented in this article explore how Living Cully leveraged PSU assets to advance their goals, highlighting successes and lessons learned. This article also addresses how the partnership was formed, what makes the partnership innovative, the role of interdisciplinary/intercommunity organizational strategies, and how the community partner commits to urban sustainability and social justice.

Ua66 Ogden College Of Science & Engineering Newsletter, Cheryl Stevens, Dean

Ogden College of Science & Engineering Publications

No abstract provided.

Gender-Based Violence In 140 Characters Or Fewer: A #Bigdata Case Study Of Twitter, Hemant Purohit, Tanvi Banerjee, Andrew Hampton, Valerie L. Shalin, Nayanesh Bhandutia, Amit P. Sheth

Kno.e.sis Publications

Public institutions are increasingly reliant on data from social media sites to measure public attitude and provide timely public engagement. Such reliance includes the exploration of public views on important social issues such as gender-based violence (GBV). In this study, we examine big (social) data consisting of nearly fourteen million tweets collected from Twitter over a period of ten months to analyze public opinion regarding GBV, highlighting the nature of tweeting practices by geographical location and gender. We demonstrate the utility of Computational Social Science to mine insight from the corpus while accounting for the influence of both transient events …

Ua94/6/17 Student / Alumni Personal Papers Wku Annie Reis, Wku Archives

WKU Archives Collection Inventories

Records created by and about Annie Reis during her years as a student at Western Kentucky State Normal School.

Evaluating Small Drone Surveillance Capabilities To Enhance Traffic Conformance Intelligence, Brian Cusack, Reza Khaleghparast

Australian Security and Intelligence Conference

The availability of cheap small physical drones that fly around and have a variety of visual and sensor networks attached invites investigation for work applications. In this research we assess the capability of a set of commercially available drones (VTOL) that cost less than $1000 (Cheap is a relative term and we consider anything less than $5000 relatively cheap). The assessment reviews the capability to provide secure and safe motor vehicle surveillance for conformance intelligence. The evaluation was conducted by initially estimating a set of requirements that would satisfy an ideal surveillance situation and then by comparing a sample of …

2015 Abstracts Student Research Conference, Student Research Conference

Student Research Conference Select Presentations

No abstract provided.

Ua12/2/2 2015 Talisman: Resurgence, Wku Student Affairs

WKU Administration Documents

2015 Talisman yearbook.

• Osborne Sam. Into the Woods – Big To-Do Music & Arts Festival
• Spalding, Shelley. The Outliers – Greeks
• Badjie, Haddy. The Right to Live – Racism
• Gibson, Helen. Net Worth – Soccer
• Greer, John. Sustaining Seasons – Sustainability
• Wegert, Sally. Bloom – Eva Ross
• Cislo, Everett. Harvest – Hemp
• Kolb, William. Preserve – John All
• Voorhees, Jessica. Making Strides – Track & Field
• Greer, John. The Science Guy – Bill Nye
• Cole, Tanner. Lip Service – Rocky Horror Picture Show
• Belknap, Abby. Race to the Senate
• Gibson, Helen. Game of Loans – Student Financial Aid
• Belknap, Abby. …

Restricted Random Labeling: Testing For Between-Group Interaction After Controlling For Joint Population And Within-Group Spatial Structure, Barry J. Kronenfeld, Timothy F. Leslie

Faculty Research and Creative Activity

Statistical measures of spatial interaction between multiple types of entities are commonly assessed against a null model of either toroidal shift (TS), which controls for spatial structure of individual subpopulations, or random labeling (RL), which controls for spatial structure of the joint population. Neither null model controls for both types of spatial structure simultaneously, although this may sometimes be desirable when more than two subpopulations are present. To address this, we propose a flexible framework for specifying null models that we refer to as restricted random labeling (rRL). Under rRL, a specified subset of individuals is restricted and other individuals …

The Impacts Of Climate Change Mitigation Strategies On Animal Welfare, Sara Shields, Geoffrey Orme-Evans

Animal Welfare Collection

The objective of this review is to point out that the global dialog on reducing greenhouse gas emissions in animal agriculture has, thus far, not adequately considered animal welfare in proposed climate change mitigation strategies. Many suggested approaches for reducing emissions, most of which could generally be described as calls for the intensification of production, can have substantial effects on the animals. Given the growing world-wide awareness and concern for animal welfare, many of these approaches are not socially sustainable. This review identifies the main emission abatement strategies in the climate change literature that would negatively affect animal welfare and …

Knowledge Enabled Approach To Predict The Location Of Twitter Users, Revathy Krishnamurthy, Pavan Kapanipathi, Amit P. Sheth, Krishnaprasad Thirunarayan

Kno.e.sis Publications

Knowledge bases have been used to improve performance in applications ranging from web search and event detection to entity recognition and disambiguation. More recently, knowledge bases have been used to analyze social data. A key challenge in social data analysis has been the identification of the geographic location of online users in a social network such as Twitter. Existing approaches to predict the location of users, based on their tweets, rely solely on social media features or probabilistic language models. These approaches are supervised and require large training dataset of geo-tagged tweets to build their models. As most Twitter users …

Mining Behavior Of Citizen Sensor Communities To Improve Cooperation With Organizational Actors, Hemant Purohit

Kno.e.sis Publications

Web 2.0 (social media) provides a natural platform for dynamic emergence of citizen (as) sensor communities, where the citizens generate content for sharing information and engaging in discussions. Such a citizen sensor community (CSC) has stated or implied goals that are helpful in the work of formal organizations, such as an emergency management unit, for prioritizing their response needs. This research addresses questions related to design of a cooperative system of organizations and citizens in CSC. Prior research by social scientists in a limited offline and online environment has provided a foundation for research on cooperative behavior challenges, including ‘ …

Santa Clara Magazine, Volume 56 Number 2, Winter 2015, Santa Clara University

Santa Clara Magazine

10 - May the Rhodes rise to meet you - On the road with Aven Satre-Meloy ’13.

16 - Season tough, photos by Denis Concordel.

18 - Space Aces by Sam Scott '96. 20 - The fragility of faith by Michael C. McCarthy, S.J. '87. A professor of religious studies and executive director of SCU’s Ignatian Center for Jesuit Education confesses that it’s not merely an academic question when he asks: “How can a thinking person still believe in God?”

26 - Rebound by Mitch Finley '73. Lessons from the court and the chapel in dealing with addiction, mental illness, …

Effects Of Extension Services On The Technical Efficiency Of Rice Farmers In Albay, 2014-2015, Bm Bathan

Journal of Economics, Management and Agricultural Development

Through the Farmers Information and Technology Services (FITS) program, extension services in the form of trainings and seminars, and education and communication materials were provided to rice farmers in Albay. Using farm-level input-output data covering the wet season of 2014 and the socio-economic and farm-specific characteristics of randomly sampled 30 farmer beneficiaries and 30 non-beneficiaries, a stochastic production function and technical inefficiency model were estimated. Results of the study reveal that beneficiaries have higher input utilization, yield and technical efficiency than non-beneficiaries. Furthermore, the amount of seed and fertilizer significantly and positively affects the yield of rice. In addition, the …

Economic Impacts Of Smallholder Oil Palm (Elaeis Guineensis Jacq.) Plantations On Peatlands In Indonesia, Roberto F. Ranola Jr., Asa Jose Sajise

Journal of Economics, Management and Agricultural Development

Oil palm smallholders on peatlands have contributed significantly to economic development in rural areas by augmenting income and reducing poverty. However, these plantations also cause adverse environmental impacts such as carbon emission, haze and peat fires, deforestation, water supply disruption and biodiversity loss. The objective of the study is to determine the economic impacts of developing smallholder oil palm plantations on peatlands in Siak District Riau Province, Indonesia. Cochran sampling technique was employed to select the respondents. Cost benefit analysis was used to determine the economic impacts of the smallholder oil palm plantations. Results reveal that the development of 94,726 …

Cures Garden Program - Martha Baldwin, Center For Urban Resilience

Module 10: Garden Ecology

No abstract provided.

Quantitative Assessment Of The Effects Of Microbial Degradation Of A Simple Hydrocarbon Mixture, Jessica Kindell

Electronic Theses and Dissertations

Ignitable liquids consist of either a single organic compound or a complex organic mixture. In regards to fire debris analysis, the analyst is responsible for determining if an ignitable liquid residue is present. However, when extracted from soil-containing fire debris evidence, chemical degradation from microorganisms is observed to result in the loss of compounds based on chemical structure. It can also happen when the evidence container is stored at room temperature before analysis. This can present a challenge to the fire debris analyst when identifying and classifying the ignitable liquid residue based on the criteria established by standard test methods. …

Integrating Hands-On Undergraduate Research In An Applied Spatial Science Senior Level Capstone Course, David Kulhavy, Daniel R. Unger, I-Kuai Hung, David Douglass

Faculty Publications

A senior within a spatial science Ecological Planning capstone course designed an undergraduate research project to increase his spatial science expertise and to assess the hands-on instruction methodology employed within the Bachelor of Science in Spatial Science program at Stephen F Austin State University. The height of 30 building features estimated remotely with LiDAR data, within the Pictometry remotely sensed web-based interface, and in situ with a laser rangefinder were compared to actual building feature height measurements. A comparison of estimated height with actual height indicated that all three estimation techniques tested were unbiased estimators of height. An ANOVA, conducted …

Perspectivas Culturais Na Comunicação Climática (Cultural Perspectives On Climate Communication), Karen E. Pennesi

Anthropology Publications

Este artigo considera que a previsão climática deve ser interpretada dentro de contextos sociais, culturais e linguísticos. Dentro de uma perspectiva antropológica baseada em entrevistas, observações e um questionário, será investigado como mudanças no meio-ambiente são entendidas por diferentes indivíduos, e transformadas em previsões que são comunicadas a diversos públicos. A linguagem utilizada e a maneira como a previsão é comunicada depende da experiência e dos objetivos do previsor, enquanto que a interpretação e a avaliação da previsão por outros são influenciadas por seus diferentes objetivos, atitudes, conhecimento e práticas. Esta etnografia da comunicação enfatiza o processo da comunicação das …

The Relationship Between Particle Travel Distance And Channel Morphology: Results Fromphysicalmodels Of Braided Rivers, Alan Kasprak, Joseph Wheaton, Peter Ashmore, James Hensleigh, Sarah Peirce

Geography & Environment Publications

Channel form and sediment transport are closely linked in alluvial rivers, and as such the development of a conceptual framework for the downstream controls on particle mobility and likely deposition sites has immense value in terms of the way we understand and predictively model rivers. Despite the development of conceptual models which frame flood-scale particle transport distance (termed path length) as a function of channel bar locations, an understanding of the controls on such path lengths in braided rivers remains especially elusive, in large part due to the difficulty in explicitly linking morphology and particle transport distances in the field. …

Alternative Timing Of Carbaryl Treatments For Protecting Lodgepole Pine From Mortality Attributed To Mountain Pine Beetle, Christopher J. Fettig, A Steve Munson, Kenneth E. Gibson

United States Department of Agriculture, Forest Service / University of Nebraska-Lincoln: Faculty Publications

Carbaryl is regarded among the most effective, economically viable, and ecologically-compatible insecticides available for protecting conifers from bark beetle attack in the western United States. Treatments are typically applied in spring prior to initiation of bark beetle flight for that year. We evaluated the efficacy of spring and fall applications for protecting individual lodgepole pine, Pinus contorta Dougl. ex Loud, from mortality attributed to mountain pine beetle, Dendroctonus ponderosae Hopkins, the most notable forest insect pest in western North America. Both spring and fall treatments of 2.0% a.i. carbaryl (Sevin® SL) were efficacious for two field seasons, while results from …

Behavior-Based Anomaly Detection On Big Data, Hyunjoo Kim, Jonghyun Kim, Ikkyun Kim, Tai-Myung Chung

Australian Information Security Management Conference

Recently, cyber-targeted attacks such as APT (Advanced Persistent Threat) are rapidly growing as a social and national threat. It is an intelligent cyber-attack that infiltrates the target organization and enterprise clandestinely using various methods and causes considerable damage by making a final attack after long-term and through preparations. These attacks are threatening cyber worlds such as Internet by infecting and attacking the devices on this environment with the malicious code, and by destroying them or gaining their authorities. Detecting these attacks requires collecting and analysing data from various sources (network, host, security equipment, and devices) over the long haul. Therefore, …

The Challenges Of Seizing And Searching The Contents Of Wi-Fi Devices For The Modern Investigator, Dan Blackman, Patryk Szewczyk

Australian Digital Forensics Conference

To the modern law enforcement investigator, the potential for an offender to have a mobile device on his or her person, who connects to a Wi-Fi network, may afford evidence to place them at a scene, at a particular time. Whilst tools to interrogate mobile devices and Wi-Fi networks, have undergone significant development, little research has been conducted with regards to interrogating Wi-Fi routers and the evidence they may contain. This paper demonstrates that multiple inhibiting factors exist for forensic investigators when attempting to extract data from Wi-Fi routers at the scene. Data volatility means the Wi-Fi router cannot be …

Value Oriented Big Data Processing With Applications, Krishnaprasad Thirunarayan

Kno.e.sis Publications

We discuss the nature of Big Data and address the role of semantics in analyzing and processing Big Data that arises in the context of Physical-Cyber-Social Systems. To handle Volume, we advocate semantic perception that can convert low-level observational data to higher-level abstractions more suitable for decision- making. To handle Variety, we resort to semantic models and annotations of data so that intelligent processing can be done independent of heterogeneity of data formats and media. To handle Velocity, we seek to use continuous semantics capability to dynamically create event or situation specific models and recognize relevant new concepts, entities and …

Legal Primer, Hampton Roads Sea Level Rise Preparedness And Resilience Intergovernmental Pilot Project, Legal Working Goup

Hampton Roads Intergovernmental Pilot Project: Reports

A legal primer developed by the Legal Working Group of the Hampton Roads Sea Level Rise Preparedness and Resilience Intergovernmental Pilot Project. Includes a memo from Roy A. Hoagland, Chair of the IPP Legal Working Group and Director of the Virginia Coastal Policy Clinic at William & Mary Law School to Jim Redick, Chair of the IPP Steering Committee, dated August 13, 2015.

Life In Hampton Roads Survey Press Release #5" Sea Level Rise Rise And Flooding, Social Science Research Center, Old Dominion University

Life in Hampton Roads Survey Report

This report examines regional and sub-regional measures of environmental risk perceptions from the 2015 Life In Hampton Roads survey (LIHR 2015) conducted by the Old Dominion University Social Science Research Center. Data from prior years is also provided when available to show comparisons in responses over time. Responses were weighted by city population, race, age, gender, and phone usage (cell versus land-line) to be representative of the Hampton Roads region.

Iowa Academy Of Science: The New Bulletin, V11n1, Winter 2015, Iowa Academy Of Science

New Bulletin

Table of Contents

Executive Director Message --- 1
Annual Meeting --- 2, 3
Candidate Profiles --- 4, 5, 6
Donations --- 7
Institutional and Corporate Members --- 8

Sustainable Livelihood Systems In Nepal: Principles, Practices And Prospects, Ambika P. Adhikari, Govinda P. Dahal, Ishara Mahat, Bishwa Regmi, Kalidas Subedi, Bharat Shrestha (Eds.)

Himalayan Research Papers Archive

No abstract provided.

A Prediction Modeling Framework For Noisy Welding Quality Data, Junheung Park

Wayne State University Dissertations

Numerous and various research projects have been conducted to utilize historical manufacturing process data in product design. These manufacturing process data often contain data inconsistencies, and it causes challenges in extracting useful information from the data. In resistance spot welding (RSW), data inconsistency is a well-known issue. In general, such inconsistent data are treated as noise data and removed from the original dataset before conducting analyses or constructing prediction models. This may not be desirable for every design and manufacturing applications since every data can contain important information to further explain the process. In this research, we propose a prediction …