A critique of the foremost romanticists and Victorians (1800-1900)

Thesis (Ed.M.)--Boston Universit

Application of the Design Structure Matrix (DSM) to the real estate development process

Thesis (S.M.)--Massachusetts Institute of Technology, Program in Real Estate Development in Conjunction with the Center for Real Estate, 2009.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student submitted PDF version of thesis.Includes bibliographical references (p. 93-95).This thesis presents a pioneering application of an engineering systems framework, the Design Structure Matrix (DSM), to model the real estate development (RED) process. The DSM is a process modeling tool that originated recently in the branches of engineering systems and management science, and is primarily used to study product development processes. The DSM is an n-squared graphical matrix representation of a process that is particularly well suited to model both the sequential and iterative informational relationships between tasks in a product development process. The similarities between product development and the real estate development process make DSM an excellent fit for applying the DSM. The thesis first reviews existing models of the RED process but finds them lacking a combination of granularity and ability to model the highly iterative nature of the RED process. This limits their effectiveness for conveying information useful to practitioners. No previous RED model describes the process at a task level or has the ability to model iterative or sequential information flows between tasks. The DSM developed in this thesis first presents a normative or baseline model of a RED project. The model was developed through the participation and assistance of MIT/CRE industry partner, Jones Lang LaSalle (Boston Office). Through a series of interviews and meetings, the authors first developed a Six Stage Event Sequence model of RED with decision-gates found to occur during the process. The six stages were then expanded with JLL's assistance into a table of 91 individual tasks necessary for successful completion of a RED project.(cont.) Finally, again with JLL's engagement, the 91X91 'Baseline' RED process DSM was constructed, identifying 1,148 planned informational inter-task interactions (out of 8,281 potential interactions). The 'Baseline' DSM model was then manipulated to highlight important aspects of the RED process including the iterative and interdisciplinary nature of RED. Several typical development scenarios are then modeled to highlight the utility of DSM as a management tool in practice. The models show how unplanned iteration can become a significant cause of project risk and failure. They also highlight the risks and opportunities that task re-sequencing can have on a project. This thesis demonstrates the DSM to be a useful and effective model of the RED process enabling new insight and understanding. The highly complex and iterative RED process can be graphically modeled in great detail in a visually appealing manner. Additionally, the RED DSM proves to be an adaptive and manipulative tool that allows for a multi-layer grasping of the RED process, able to assist in project management, change management, identification of risks and opportunities, and firm-level organizational structure and procedures. Additionally, the RED DSM model proves to be a useful pedagogical device for teaching real estate students.by Benjamin Bulloch and John Sullivan.S.M

Water Quality Evaluation Yatesville Lake Project: Volume 1

Point sources of pollution identified in the Blaine Creek watershed area consisted of oil and gas facility sources and mine related sources. A total of 493 point sources of pollution were inventoried which included 167 oil and gas related sources, 321 mine sediment structures, and 5 hollow fill groundwater seeps. The highest concentration of these point sources of pollution occurred in the south to southwest portion of the watershed in the area proximate to the Martha Field. Adverse impacts to surface and groundwaters resulting from the 326 mine and groundwater point sources of pollution identified did not appear significant as compared with oil and brine related impacts when referenced by specific conductance, total organic carbon, and ph

Contributors to the January Issue/Notes

Notes by John H. Merryman, John E. Cosgrove, Edward J. Flattery, James D. Sullivan, Lawrence Turner, John O\u27Rorke, Thomas Broden, George S. Stratigos, Richard H. Keen, and J. Barrett Guthrie

Recent Decisions

Comments on recent decisions by Robert E. Sullivan, James H. Graham, John E. Savord, Edward A. Mahoney, Jr., and Ronald P. Rejent

An analysis of sentence structure, capitalization and punctuation errors made by pupils in grades four, five, and six in free writing of sentences using given stimuli words.

Thesis (M.A.)--Boston Universit

Fiction Fix 13

https://digitalcommons.unf.edu/fiction_fix/1008/thumbnail.jp

Who Owns the Data? Open Data for Healthcare.

Research on large shared medical datasets and data-driven research are gaining fast momentum and provide major opportunities for improving health systems as well as individual care. Such open data can shed light on the causes of disease and effects of treatment, including adverse reactions side-effects of treatments, while also facilitating analyses tailored to an individual's characteristics, known as personalized or "stratified medicine." Developments, such as crowdsourcing, participatory surveillance, and individuals pledging to become "data donors" and the "quantified self" movement (where citizens share data through mobile device-connected technologies), have great potential to contribute to our knowledge of disease, improving diagnostics, and delivery of -healthcare and treatment. There is not only a great potential but also major concerns over privacy, confidentiality, and control of data about individuals once it is shared. Issues, such as user trust, data privacy, transparency over the control of data ownership, and the implications of data analytics for personal privacy with potentially intrusive inferences, are becoming increasingly scrutinized at national and international levels. This can be seen in the recent backlash over the proposed implementation of care.data, which enables individuals' NHS data to be linked, retained, and shared for other uses, such as research and, more controversially, with businesses for commercial exploitation. By way of contrast, through increasing popularity of social media, GPS-enabled mobile apps and tracking/wearable devices, the IT industry and MedTech giants are pursuing new projects without clear public and policy discussion about ownership and responsibility for user-generated data. In the absence of transparent regulation, this paper addresses the opportunities of Big Data in healthcare together with issues of responsibility and accountability. It also aims to pave the way for public policy to support a balanced agenda that safeguards personal information while enabling the use of data to improve public health

Growth Hormone Influence on the Morphology and Size of the Mouse Meibomian Gland

Purpose. We hypothesize that growth hormone (GH) plays a significant role in the regulation of the meibomian gland. To test our hypothesis, we examined the influence of GH on mouse meibomian gland structure. Methods. We studied four groups of mice, including (1) bovine (b) GH transgenic mice with excess GH; (2) GH receptor (R) antagonist (A) transgenic mice with decreased GH; (3) GHR knockout (−/−) mice with no GH activity; and (4) wild type (WT) control mice. After mouse sacrifice, eyelids were processed for morphological and image analyses. Results. Our results show striking structural changes in the GH-deficient animals. Many of the GHR−/− and GHA meibomian glands featured hyperkeratinized and thickened ducts, acini inserting into duct walls, and poorly differentiated acini. In contrast, the morphology of WT and bGH meibomian glands appeared similar. The sizes of meibomian glands of bGH mice were significantly larger and those of GHA and GHR−/− mice were significantly smaller than glands of WT mice. Conclusions. Our findings support our hypothesis that the GH/IGF-1 axis plays a significant role in the control of the meibomian gland. In addition, our data show that GH modulates the morphology and size of this tissue