Optimal Portfolio Management in Alaska: A Case Study on Risk Characteristics of Environmental Consulting Companies

A Project Submitted in Partial Fulfillment of the Requirements for the Degree of MASTER OF SCIENCE in Project ManagementSharp declines in global oil prices have led to a marked contraction in Alaska’s natural resource dependent economy. This, coupled with record the State’s budgetary shortfalls and a decrease in incoming federal dollars, has created a climate where environmental consulting companies must accept riskier projects to balance portfolio growth and security. As a result, companies must adopt a risk-based portfolio management approach as both a high level strategy and a core management practice. It is important to specifically identify projects best suited for an organization’s tolerance for risk based off of the supply and demand of the industry in rapidly changing economic conditions. Therefore, the aims of this project report are to help environmental consulting companies identify risk characteristics and manage their portfolio, as well as develop a tool to guide decision-making and selecting projects best suited for a companies’ portfolio strategy. The results of this research may provide Alaska based environmental companies with a clear understanding of the types of projects that offer both development and financial security for an organization. This research paper will present the methodology, results, and an environmental consulting portfolio management tool.Title Page / Table of Contents / List of Exhibits / Abstract / Introduction / Background / Literature Review / Project Methodology / Research Methodology / Presentation and Analysis of Data from Survey / Data Validation From Survey / Conclusion / Recommendation / Project Conclusion / Recommendations for Further Research / References / Appendi

Surgical assessment of the geriatric oncology patient

BACKGROUND: The aging population in the United States will correlate with an increased number of cancer diagnoses as cancer is primarily a disease of the elderly. Providing this ever-growing group of individuals with quality surgical management, while taking into account the unique needs and desires of this cohort, is a great challenge facing both geriatricians and surgeons going forward. The best approach to ensure that oncogeriatric patients receive the best tailored treatment is through the completion of a pre-surgical geriatric assessment. However, only a minority of oncogeriatric patients is undergoing a comprehensive pre-surgical geriatric assessment despite the majority of geriatricians and surgeons acknowledging its importance in order to properly risk stratify their patients. LITERATURE REVIEW FINDINGS: Multiple theories exist as to why geriatric assessments are not being utilized more frequently, but the most probable answer is that these assessments are very time-consuming, making it virtually impossible for incorporation into a healthcare provider’s busy schedule. Comprehensive literature review regarding geriatric assessments amongst the oncogeriatric population found that the most sensitive and specific domains of the geriatric assessments predicting morbidity and mortality include Frailty Index, Social Support Survey, Mini-Nutritional Assessment, and Geriatric Depression Screening. PROPOSED METHODS: A novel educational intervention will be proposed to teach Physician Assistant and Medical Students about the domains of the geriatric assessment most predictive of post-surgical risk during their surgical clerkship. The curriculum will utilize both simulation- and competency-based education training under the guidance of geriatricians and surgeons. Students will first learn the necessary skills in a controlled classroom environment and then proceed to incorporate these skills during their clerkship with patients on their service. CONCLUSIONS: The goal of the proposed method is to instill the confidence and skills necessary to provide an accurate geriatric assessment for oncogeriatric patients in future clinicians. The field of geriatric oncology is going to grow exponentially in the up-coming years and familiarizing future clinicians with the most predictive domains regarding surgical outcome will improve treatment outcomes for oncogeriatric patients in the immediate and foreseeable future

Pulmonary rehabilitation : insight into current trends

Pulmonary rehabilitation is a widely accepted therapeutic tool used to improve the quality of life and functional capacity of individuals with chronic lung disease. It is a multidisciplinary, comprehensive program designed to optimise autonomy and physical performance in patients with chronic respiratory impairment. There is sufficient evidence to support the use of pulmonary rehabilitation for a subset of patients and to indicate that it can improve exercise tolerance and symptoms of dyspnoea, as well as enhance health-related quality of life of patients with COPD and other respiratory conditions. According to projections in the Global Burden of Disease Study, COPD will be the fifth leading cause of disability-adjusted-life-year loss worldwide in 2020.peer-reviewe

Project scheduling under undertainty – survey and research potentials.

The vast majority of the research efforts in project scheduling assume complete information about the scheduling problem to be solved and a static deterministic environment within which the pre-computed baseline schedule will be executed. However, in the real world, project activities are subject to considerable uncertainty, that is gradually resolved during project execution. In this survey we review the fundamental approaches for scheduling under uncertainty: reactive scheduling, stochastic project scheduling, stochastic GERT network scheduling, fuzzy project scheduling, robust (proactive) scheduling and sensitivity analysis. We discuss the potentials of these approaches for scheduling projects under uncertainty.Management; Project management; Robustness; Scheduling; Stability;

Performance evaluation of a six-axis generalized force-reflecting teleoperator

Work in real-time distributed computation and control has culminated in a prototype force-reflecting telemanipulation system having a dissimilar master (cable-driven, force-reflecting hand controller) and a slave (PUMA 560 robot with custom controller), an extremely high sampling rate (1000 Hz), and a low loop computation delay (5 msec). In a series of experiments with this system and five trained test operators covering over 100 hours of teleoperation, performance was measured in a series of generic and application-driven tasks with and without force feedback, and with control shared between teleoperation and local sensor referenced control. Measurements defining task performance included 100-Hz recording of six-axis force/torque information from the slave manipulator wrist, task completion time, and visual observation of predefined task errors. The task consisted of high precision peg-in-hole insertion, electrical connectors, velcro attach-de-attach, and a twist-lock multi-pin connector. Each task was repeated three times under several operating conditions: normal bilateral telemanipulation, forward position control without force feedback, and shared control. In shared control, orientation was locally servo controlled to comply with applied torques, while translation was under operator control. All performance measures improved as capability was added along a spectrum of capabilities ranging from pure position control through force-reflecting teleoperation and shared control. Performance was optimal for the bare-handed operator