Proposal of the Need for Mental Health First Aid Training of Associate Degree Nursing Faculty in a Community College Setting

Mental health issues are on the rise among students in universities as well as community colleges. College can be a stressful time in many people’s lives especially when the added demand of work and family are involved. Community colleges and universities use counseling services for their mental health needs but sometimes the services are not used due to the stigma that comes along with mental health. Nursing school can be a challenging time for students because of the rigorous training and workload. This project poses to implement Mental Health First Aid Training (MHFA) for faculty and staff of a nursing program at a community college setting. The nursing faculty and staff are the front lines to students and their success. This training will prepare the faculty and staff to identify impending mental health issues and to know which steps to take during a mental health crisis until professional assistance is available

Reversible Pebbling Game for Quantum Memory Management

Quantum memory management is becoming a pressing problem, especially given the recent research effort to develop new and more complex quantum algorithms. The only existing automatic method for quantum states clean-up relies on the availability of many extra resources. In this work, we propose an automatic tool for quantum memory management. We show how this problem exactly matches the reversible pebbling game. Based on that, we develop a SAT-based algorithm that returns a valid clean-up strategy, taking the limitations of the quantum hardware into account. The developed tool empowers the designer with the flexibility required to explore the trade-off between memory resources and number of operations. We present three show-cases to prove the validity of our approach. First, we apply the algorithm to straight-line programs, widely used in cryptographic applications. Second, we perform a comparison with the existing approach, showing an average improvement of 52.77%. Finally, we show the advantage of using the tool when synthesizing a quantum circuit on a constrained near-term quantum device.Comment: In Proc. Design Automation and Test in Europe (DATE 2019

Magnetic properties of a diferrous-water complex and ligands for modeling the active site of MMOH

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Chemistry, 2004.Vita.Includes bibliographical references.Chapter 1: The Importance of Modeling Diiron Sites in Nature.There are a variety of metalloenzymes that have nearly identical carboxylate-bridged diiron active sites. An example is sMMOH, an enzyme that catalyzes the conversion of methane to methanol. A detailed description of the active site of sMMOH[red] is given and attempts at reproducing its structure in a model complex are discussed. Chapter 2: A Diiron(II) Diaqua Complex: Modeling Water in the Active Site of sMMOH[red]. There are water molecules in the first and second coordination spheres of the diiron centers in sMMOH[red]. A carboxylate-bridged diferrous complex, [Fe₂...(THF)₂], was synthesized to incorporate the presence of water in a model complex and to investigate the function(s) of these water molecules. The synthesis, structural characterization and magnetic properties of this complex are presented. Chapter 3: Ligands for Modeling the Syn Disposition of Nitrogen Atoms in the Active Site of MMOH. The active sites of a variety of carboxylate-bridged diiron metalloenzymes are very similar and feature the syn disposition of two histidine ligands with respect to the iron-iron vector. This orientation has not yet been modeled in a diiron complex with four carboxylate ligands and a stable yet flexible platform. Such geometry may be necessary to replicate the functions of these enzymes. The syntheses of ligands intended to enforce this syn disposition are described and directions for future ligand design are outlined.by Amy E. Kelly.S.M

Early Childhood Field Experience Supervision: Negotiating Praxis

This case examines the complex partnership between the university teacher education program and the host school district. Many factors contribute to the expectations and requirements of both institutions, which can at times, conflict in fundamental ways. The theoretical and research-based methods of early childhood coursework are often different than the reality of those classrooms. Furthermore, the adoption of initiatives like, Culturally Responsive Teaching and Leading standards by university teacher education programs must translate to the fieldwork. School and district-wide mandates often overrule best pedagogical and developmentally appropriate practices. With these opposing perspectives how can supervisors bridge the gap between the university classroom and the primary classroom? How can supervisors support teacher candidates and mentor teachers in negotiating rigid curricular programming, and maintain professional partnerships

Assimilating in situ soil moisture measurements into the DSSAT-CSM using a Kalman filter

With the ability to monitor soil moisture in time comes the opportunity to develop ways to incorporate these measurements into predictive models, without compromising or overriding the model physics. The importance of soil moisture to the growth of crops is well understood and because of this it is recognized as one of the more important parts of crop modeling programs. This research focused on improvements to the Decision Support System for Agrotechnology Transfer -Cropping System Model (DSSAT-CSM) based on the accuracy of soil moisture estimates. To accomplish this, data assimilation techniques were implemented to process the uncertainty of the model related to state variables and the uncertainty found within in situ soil moisture measurements. Consideration of soil parameter uncertainty, which in?uences model estimates of soil moisture and model output, was taken into account using a Monte Carlo approach. A Kalman filter was used to combine the model estimates of soil moisture with in situ soil moisture measurements, while varying several important soil parameters in the model using a Monte Carlo approach. Covariances for the Kalman filter were calculated for the model and measurements based on the models standard deviation of soil moisture estimates and the standard deviation of the in situ soil moisture measurements. Data for this study was obtained from a research study conducted on irrigated wheat during the winters of 2003-04 and 2004-05 in Maricopa, Arizona in which thorough field and crop data were collected. The uncertainty of soil parameters was only moderately captured by the Monte Carlo approach for assimilation into the top layer of the soil profile. Improvement resulted for data assimilation of soil moisture through the reduction of the error between the measured and simulated grain yield and canopy weight for 47% and 37% of the simulations for the 2003-2004 and for 25% and 32% of the simulations for the 20042005 season, respectively. Assimilation was more effective for improving the model output of grain yield for the 2004-2005 than the 2003-2004 season and canopy weight for the 2003-2004 season than the 2004-2005 season. Further study is needed to fully understand the most desirable conditions for soil moisture assimilation and what other influencing effects data assimilation of soil moisture presents

Phylogeography of Southern Red-Backed Voles in North America

Climate change has altered species distributions and has lead to species forming as they I ive in isolated refugia. I propose to examine microsatl I ite alleles from the southern red-backed vole (Myodes gapperi) in order to test whether or not previously identified distinct I ineages of these voles can interbreed. If they are no longer interbreeding, this wi I I give us insight on how climate change can affect species distributions and contribute to speciation

Simulating the effects of spatially variable irrigation on corn yields, costs, and revenue in Iowa

In this study, the CERES-Maize crop model was used in conjunction with Apollo, a shell program, to evaluate potential improved yield in a central Iowa cornfield on a spatially and temporally variable basis. Five years of historical yield and weather data were used to calibrate the model over 100 spatially variable grid cells for non-irrigated conditions in the 20.25 ha field. This calibrated model then used 28 years of historical weather data to simulate three irrigation scenarios: no irrigation, scheduled uniform irrigation, and precision irrigation. Irrigation improved yield by at least 500 kg ha−1 in half of the years simulated. Precision irrigation showed slightly lower yields than scheduled uniform irrigation. Assuming use of a center pivot system, irrigation showed economic returns in only one of the 28 years included in the study. High capital costs were the leading restrictor of economic feasibility

Beyond Educational Voyeurism: An Analysis of a Ugandan-North American Teacher Partnership Program

Beyond simply watching teachers in international settings as tourists might, teachers in a Ugandan-North American international teacher partnership program went further, reflecting on the social/political contexts within which they taught. Teachers’ surveys and reflections are analyzed for factors addressing the successful negotiation of both teaching and relationship making across the cultural, pedagogical and political divides that separate them. In the midst of the international teacher partnership program, concerns arose regarding teacher-centered pedagogy and student passivity as after effects of Uganda’s colonial education system