INTIMATE APPAREL: AN EXPLORATION OF COSTUME DESIGN IDEAS AND PROCESS FOR THE UNIVERSITY OF MARYLAND’S DEPARTMENT OF THEATRE, DANCE AND PERFORMING 2015 PRODUCTION

The following thesis navigates the primary artistic concept, design process and execution of Marchlena Rodgers’ costume design for the University of Maryland’s production of Intimate Apparel. Intimate Apparel opened October 9, 2015 in the University of Maryland’s Kay Theatre. The piece was written by Lynn Nottage directed by Jennifer Nelson. The set was designed by Lydia Francis, Lighting was designed by Max Doolittle.

Intimate Apparel: A Lighting Design

The purpose of this thesis is to provide research, supporting paperwork and production photographs that document the lighting design for the University of Maryland - College Park, School of Theatre, Dance, and Performance Studies’ production of Intimate Apparel, by Lynn Nottage. This thesis contains the following: a design concept statement, research images collected to develop and visually communicate ideas about color, texture, intensity, form, composition and mood to the production team; preliminary and final organization of desired equipment to execute the lighting design; a full set of drafting plates and supplementary paperwork used to communicate the organization and placement of lighting equipment to the master electrician; and magic sheets and cue lists used as organizational tools for the lighting designer during the tech process. Archival production photographs are included as documentation of the completed design.

PUBLIC-PRIVATE PARTNERSHIP FOR RESPONSIVE EXTENSION EDUCATION: THE CASE OF SAFE AND UCC IN GHANA

Developing nations in Africa are not shielded from the pressures of a globalized competitive agricultural marketplace. With an appreciable bulk of her people deriving livelihoods from diverse agricultural enterprises, these nations must respond to important contemporary issues shaping global agriculture. Farmers from such nations, including Ghana, will be able to improve their participation in the competitive local, regional and global agricultural marketplace if the appropriate agricultural technologies and extension information support are available. To achieve this, a new breed of agricultural extension graduates who can respond to current and emerging challenges in agriculture and interface effectively with farmers must be produced through responsive extension education and training. While extension education can produce effective extensionists to hasten agricultural development, budgetary constraints make it difficult for most African governments to successfully and sustainably implement such educational programs. However, public-private partnership (PPP) initiatives offer a way out of this financial dilemma. Beginning in 1993, the Sasakawa Africa Fund for Extension Education (SAFE) worked with the University of Cape Coast (UCC) in Ghana to develop an innovative extension education program through a public private partnership. The program, comprising a BSc. and Diploma components, was designed to respond to the myriad of challenges facing higher agricultural extension education in Ghana. A key practical feature of the curricula is the “Supervised Enterprise Projects” (SEPS), which enable students to work with relevant stakeholders to identify and tackle agricultural problems in farming communities through experiential extension approaches and action research. The SAFE-UCC initiative fulfils important education goals such as: expanding and improving access; ensuring quality and relevance; ensuring funding and mobilizing resources for sustainability; building partnerships and linkages; and promoting international co-operation. The paper discusses the underlying conditions for a successful public private partnership in agricultural and extension education and sheds light on the impacts, lessons learned and challenges.

Yield-SAFE model improvements. Milestone Report 29 (6.4)

The Yield-SAFE model is a parameter-sparse, process-based dynamic model for predicting resource capture, growth, and production in agroforestry systems that has been frequently used by various research organisations in recent years. Within the AGFORWARD project, the model has been enhanced to more accurately predict the delivery of ecosystem services provided by agroforestry systems relative to forestry and arable systems. This report also summar izes the new developments made in the model which were partially implemented during AGFORWARD modelling workshops held in 1) Monchique in Portugal in May 2015, 2) Kriopigi in Greece in June 2015, 3) Lisbon in Portugal in November 2015 and 4) Lisbon in Febru ary 2016 .

Playgrounds: Safe designs and infrastructures for our children… an urgent matter in Costa Rica

The purpose of this article is to offer the design and infrastructure parameters necessary to have safe playgrounds since they represent a unique opportunity to foster an integral development, particularly in children.  In these public places, children learn to resolve conflicts to continue playing, having fun, and developing.  These recreational areas then become learning places that foster the formation process and provide great social, emotional, physical, cognitive, intellectual, and spiritual benefits.  However, such benefits are diminished by the lack of interest of the communities and the adult population to optimize playground conditions and by unscrupulous developers, who design playgrounds in inappropriate places putting the population at risk.  Therefore, the following must be taken seriously into consideration before, during, and after the construction of a playground: design, construction, materials, equipment, components and the procedures to meet the necessary safety requirements and the objective for which they were created, that being an area designed, equipped, and located exclusively for playing that facilitates the integral development of the population.  Consequently, it is urgent for Costa Rica to enact clear regulations that guarantee the construction, design, and use of playgrounds that do not put the population’s health at risk, prevent accidents, and guarantee the inalienable rights of each Costa Rican.

Microclimate, development and productivity of robusta coffee shaded by rubber trees and at full sun.

Existem poucos estudos sobre arborização de café conilon com seringueira. Objetivou-se avaliar o microclima, desenvolvimento e produtividade do cafeeiro conilon cultivado a pleno sol e sob sombreamento proporcionado pela seringueira. O experimento foi composto por uma lavoura de café conilon (Coffea canephora), cultivada a pleno sol e outra lavoura de café consorciada com seringueira (Hevea brasiliensis). A seringueira e o cafeeiro foram plantados no sentido Leste/Oeste, em Jaguaré, Espírito Santo, Brasil. Avaliou-se a luminosidade, temperatura e umidade relativa do ar, concentração foliar de nutrientes, medição dos internódios dos ramos plagiotrópicos e ortotrópicos, área foliar, índice relativo de clorofila, e a produtividade do cafeeiro. O sombreamento influenciou diretamente no microclima, reduzindo a temperatura do ar no verão e no inverno e aumentando a umidade relativa. A luminosidade no verão teve uma redução media de 905 lumens ft-2 ao longo de todo dia, equivalente a 72,49%, e no inverno de 1665 lumens ft-2, equivalente a 88,04%. O sombreamento proporcionou maior estiolamento dos ramos plagiotrópicos e ortotrópicos, bem como maior expansão foliar. A concentração foliar de Fe e Mn foram maiores no cafeeiro arborizado. A clorofila b e total estimada foram maior no cafeeiro cultivado a pleno sol. O denso sombreamento oferecido pela seringueira nas condições estudadas proporcionou perdas na produtividade do cafeeiro, contudo, ocorre a formação da seringueira.

GIS-integrated mathematical modeling of social phenomena at macro- and micro- levels—a multivariate geographically-weighted regression model for identifying locations vulnerable to hosting terrorist safe-houses: France as case study

Adaptability and invisibility are hallmarks of modern terrorism, and keeping pace with its dynamic nature presents a serious challenge for societies throughout the world. Innovations in computer science have incorporated applied mathematics to develop a wide array of predictive models to support the variety of approaches to counterterrorism. Predictive models are usually designed to forecast the location of attacks. Although this may protect individual structures or locations, it does not reduce the threat—it merely changes the target. While predictive models dedicated to events or social relationships receive much attention where the mathematical and social science communities intersect, models dedicated to terrorist locations such as safe-houses (rather than their targets or training sites) are rare and possibly nonexistent. At the time of this research, there were no publically available models designed to predict locations where violent extremists are likely to reside. This research uses France as a case study to present a complex systems model that incorporates multiple quantitative, qualitative and geospatial variables that differ in terms of scale, weight, and type. Though many of these variables are recognized by specialists in security studies, there remains controversy with respect to their relative importance, degree of interaction, and interdependence. Additionally, some of the variables proposed in this research are not generally recognized as drivers, yet they warrant examination based on their potential role within a complex system. This research tested multiple regression models and determined that geographically-weighted regression analysis produced the most accurate result to accommodate non-stationary coefficient behavior, demonstrating that geographic variables are critical to understanding and predicting the phenomenon of terrorism. This dissertation presents a flexible prototypical model that can be refined and applied to other regions to inform stakeholders such as policy-makers and law enforcement in their efforts to improve national security and enhance quality-of-life.

Safe operation of transmission system considering EV at distribution level

In this paper, the IEEE 14 bus test system is used in order to perform adequacy assessment of a transmission system when large scale integration of electric vehicles is considered at distribution levels. In this framework, the symmetric/constr ained fuzzy power flow (SFPF/CFPF) was proposed. The SFPF/CFPF models are suitable to quantify the adequacy of transmission network to satisfy “reasonable demands for the transmission of electricity” as defined, for instance, in the European Directive 2009/72/EC. In this framework, electric vehicles of different types will be treated as fuzzy loads configuring part of the “reasonable demands”. With this study, it is also intended to show how to evaluate the amount of EVs that can be safely accommodated to the grid meeting a certain adequacy level.

The locations of recent supernovae near the Sun from modelling 60Fe transport

The signature of 60Fe in deep-sea crusts indicates that one or more supernovae exploded in the solar neighbourhood about 2.2 million years ago1–4. Recent isotopic analysis is consistent with a core-collapse or electron-capture supernova that occurred 60 to 130 parsecs from the Sun5. Moreover, peculiarities in the cosmic ray spectrum point to a nearby supernova about two million years ago6. The Local Bubble of hot, diffuse plasma, in which the Solar System is embedded, originated from 14 to 20 supernovae within a moving group, whose surviving members are now in the Scorpius– Centaurus stellar association7,8. Here we report calculations of the most probable trajectories and masses of the supernova progenitors, and hence their explosion times and sites. The 60Fe signal arises from two supernovae at distances between 90 and 100 parsecs. The closest occurred 2.3 million years ago at present-day galactic coordinates l = 327°, b = 11°, and the second-closest exploded about 1.5 million years ago at l = 343°, b = 25°, with masses of 9.2 and 8.8 times the solar mass, respectively. The remaining supernovae, which formed the Local Bubble, contribute to a smaller extent because they happened at larger distances and longer ago (60Fe has a half- life of 2.6 million years9,10). There are uncertainties relating to the nucleosynthesis yields and the loss of 60Fe during transport, but they do not influence the relative distribution of 60Fe in the crust layers, and therefore our model reproduces the measured relative abundances very well.

Development of methodologies supporting the sustainable and safe integration of offshore conventional and renewable energy production

Against a backdrop of rapidly increasing worldwide population and growing energy demand, the development of renewable energy technologies has become of primary importance in the effort to reduce greenhouse gas emissions. However, it is often technically and economically infeasible to transport discontinuous renewable electricity for long distances to the shore. Another shortcoming of non-programmable renewable power is its integration into the onshore grid without affecting the dispatching process. On the other hand, the offshore oil & gas industry is striving to reduce overall carbon footprint from onsite power generators and limiting large expenses associated to carrying electricity from remote offshore facilities. Furthermore, the increased complexity and expansion towards challenging areas of offshore hydrocarbons operations call for higher attention to safety and environmental protection issues from major accident hazards. Innovative hybrid energy systems, as Power-to-Gas (P2G), Power-to-Liquid (P2L) and Gas-to-Power (G2P) options, implemented at offshore locations, would offer the opportunity to overcome challenges of both renewable and oil & gas sectors. This study aims at the development of systematic methodologies based on proper sustainability and safety performance indicators supporting the choice of P2G, P2L and G2P hybrid energy options for offshore green projects in early design phases. An in-depth analysis of the different offshore hybrid strategies was performed. The literature reviews on existing methods proposing metrics to assess sustainability of hybrid energy systems, inherent safety of process routes in conceptual design stage and environmental protection of installations from oil and chemical accidental spills were carried out. To fill the gaps, a suite of specific decision-making methodologies was developed, based on representative multi-criteria indicators addressing technical, economic, environmental and societal aspects of alternative options. A set of five case-studies was defined, covering different offshore scenarios of concern, to provide an assessment of the effectiveness and value of the developed tools.

Safe and Collaborative Navigation & Interaction With Mobile Manipulators in Domestic Appliance Test Labs

Safe collaboration between a robot and human operator forms a critical requirement for deploying a robotic system into a manufacturing and testing environment. In this dissertation, the safety requirement for is developed and implemented for the navigation system of the mobile manipulators. A methodology for human-robot co-existence through a 3d scene analysis is also investigated. The proposed approach exploits the advance in computing capability by relying on graphic processing units (GPU’s) for volumetric predictive human-robot contact checking. Apart from guaranteeing safety of operators, human-robot collaboration is also fundamental when cooperative activities are required, as in appliance test automation floor. To achieve this, a generalized hierarchical task controller scheme for collision avoidance is developed. This allows the robotic arm to safely approach and inspect the interior of the appliance without collision during the testing procedure. The unpredictable presence of the operators also forms dynamic obstacle that changes very fast, thereby requiring a quick reaction from the robot side. In this aspect, a GPU-accelarated distance field is computed to speed up reaction time to avoid collision between human operator and the robot. An automated appliance testing also involves robotized laundry loading and unloading during life cycle testing. This task involves Laundry detection, grasp pose estimation and manipulation in a container, inside the drum and during recovery grasping. A wrinkle and blob detection algorithms for grasp pose estimation are developed and grasp poses are calculated along the wrinkle and blobs to efficiently perform grasping task. By ranking the estimated laundry grasp poses according to a predefined cost function, the robotic arm attempt to grasp poses that are more comfortable from the robot kinematic side as well as collision free on the appliance side. This is achieved through appliance detection and full-model registration and collision free trajectory execution using online collision avoidance.