The Relationship of Project Team Attributes to Project Interim Performance

The factors associated with project success, or failure, have not been conclusively resolved in the project management literature. The purpose of this research was to investigate the relationship of project team attributes and interim project performance using a statistical research design. An abundance of research has focused solely on the importance of technical project components as they relate to cost, schedule, or technical performance. However, research into internal team attributes has been sporadic and, generally, associated with subjective measures of project performance or less than optimal statistical techniques. Prior assessment of project performance has also been concentrated at project completion. In contrast, this research developed an objective measure for interim project performance, based on identified deficiencies documented by independent reviewers at critical project control gates. A validated survey instrument completed by team members from National Aeronautics and Space Administration (NASA) aerospace projects, during the project formulation phase, provided data on team attributes. Using statistical analyses, appropriate to the level of data and data collection methodology, along with validating semi-structured interviews, the relationships between interim project performance and seven team attribute variables were investigated. The team attribute variables were focus, empowerment, structure, cohesion, recognition, interdependence, and intra-team communication. Rho and gamma statistics indicated a highly significant relationship between team member interdependence and interim project performance. Weaker relationships between the interim performance metric and communication, cohesion, and empowerment were found. In contrast, no relationship was supported with focus, structure, or recognition. For the early project lifecycle, this research substantiated through quantitative empirical means, the theoretical premise that project team member interdependence is associated with high interim project performance. The establishment of an interim project performance metric contributed to both practice and methodology. The utilization of statistics mathematically appropriate to the level of data and collection methodology was significant to a field where rigorous statistical research is difficult and scarce. The emphasis on early project lifecycle performance contributed to theory. From a practical viewpoint, the results provide evidence to support the need for early project lifecycle emphasis on the purposeful building of team effectiveness by concentration on specific attributes related to project performance

Searching for 'Unknown Unknowns'

The NASA Engineering and Safety Center (NESC) was established to improve safety through engineering excellence within NASA programs and projects. As part of this goal, methods are being investigated to enable the NESC to become proactive in identifying areas that may be precursors to future problems. The goal is to find unknown indicators of future problems, not to duplicate the program-specific trending efforts. The data that is critical for detecting these indicators exist in a plethora of dissimilar non-conformance and other databases (without a common format or taxonomy). In fact, much of the data is unstructured text. However, one common database is not required if the right standards and electronic tools are employed. Electronic data mining is a particularly promising tool for this effort into unsupervised learning of common factors. This work in progress began with a systematic evaluation of available data mining software packages, based on documented decision techniques using weighted criteria. The four packages, which were perceived to have the most promise for NASA applications, are being benchmarked and evaluated by independent contractors. Preliminary recommendations for "best practices" in data mining and trending are provided. Final results and recommendations should be available in the Fall 2005. This critical first step in identifying "unknown unknowns" before they become problems is applicable to any set of engineering or programmatic data

New Method for Updating Mean Time Between Failure for ISS Orbital Replaceable Units Consultation Report

A request to conduct a peer review of the International Space Station (ISS) proposal to use Bayesian methodology for updating Mean Time Between Failure (MTBF) for ISS Orbital Replaceable Units (ORU) was submitted to the NASA Engineering and Safety Center (NESC) on September 20, 2005. The results were requested by October 20, 2005 in order to be available during the process of reworking the current ISS flight manifest. The results are included in this report

Taxonomy Working Group Final Report

The purpose of the Taxonomy Working Group was to develop a proposal for a common taxonomy to be used by all NASA projects in the classifying of nonconformances, anomalies, and problems. Specifically, the group developed a recommended list of data elements along with general suggestions for the development of a problem reporting system to better serve NASA's need for managing, reporting, and trending project aberrant events. The Group's recommendations are reported in this document

Body Composition, Symptoms, and Survival in Advanced Cancer Patients Referred to a Phase I Service

Background: Body weight and body composition are relevant to the outcomes of cancer and antineoplastic therapy. However, their role in Phase I clinical trial patients is unknown. Methods: We reviewed symptom burden, body composition, and survival in 104 patients with advanced cancer referred to a Phase I oncology service. Symptom burden was analyzed using the MD Anderson Symptom Assessment Inventory(MDASI); body composition was evaluated utilizing computerized tomography(CT) images. A body mass index (BMI)$25 kg/m 2 was considered overweight. Sarcopenia, severe muscle depletion, was assessed using CT-based criteria. Results: Most patients were overweight (n = 65, 63$25 kg/m 2. Sarcopenic patients were older and less frequently African-American. Symptom burden did not differ among patients classified according to BMI and presence of sarcopenia. Median (95% confidence interval) survival (days) varied according to body composition: 215 (71–358) (BMI,25 kg/m 2; sarcopenic), 271 (99–443) (BMI,25 kg/m 2; non-sarcopenic), 484 (286–681) (BMI$25 kg/m 2; sarcopenic); 501 d (309–693) (BMI$25 kg/m 2; non-sarcopenic). Higher muscle index and gastrointestinal cancer diagnosis predicted longer survival in multivariate analysis after controlling for age, gender, performance status, and fat index. Conclusions: Patients referred to a Phase I clinic had a high frequency of sarcopenia and a BMI$25 kg/m 2, independent o

Genomic epidemiology of SARS-CoV-2 in a UK university identifies dynamics of transmission

AbstractUnderstanding SARS-CoV-2 transmission in higher education settings is important to limit spread between students, and into at-risk populations. In this study, we sequenced 482 SARS-CoV-2 isolates from the University of Cambridge from 5 October to 6 December 2020. We perform a detailed phylogenetic comparison with 972 isolates from the surrounding community, complemented with epidemiological and contact tracing data, to determine transmission dynamics. We observe limited viral introductions into the university; the majority of student cases were linked to a single genetic cluster, likely following social gatherings at a venue outside the university. We identify considerable onward transmission associated with student accommodation and courses; this was effectively contained using local infection control measures and following a national lockdown. Transmission clusters were largely segregated within the university or the community. Our study highlights key determinants of SARS-CoV-2 transmission and effective interventions in a higher education setting that will inform public health policy during pandemics.</jats:p

A Framework for Categorizing Important Project Variables

While substantial research has led to theories concerning the variables that affect project success, no universal set of such variables has been acknowledged as the standard. The identification of a specific set of controllable variables is needed to minimize project failure. Much has been hypothesized about the need to match project controls and management processes to individual projects in order to increase the chance for success. However, an accepted taxonomy for facilitating this matching process does not exist. This paper surveyed existing literature on classification of project variables. After an analysis of those proposals, a simplified categorization is offered to encourage further research

A FRAMEWORK FOR CATEGORIZING IMPORTANT PROJECT VARIABLES

While substantial research has led to theories concerning the variables that affect project success, no universal set of such variables has been acknowledged as the standard. The identification of a specific set of controllable variables is needed to minimize project failure. Much has been hypothesized about the need to match project controls and management processes to individual projects in order to increase the chance for success. However, an accepted taxonomy for facilitating this matching process does not exist. This paper surveyed existing literature on classification of project variables. After an analysis of those proposals, a simplified categorization is offered to encourage further research

The effects of curcumin (diferuloylmethane) on body composition of patients with advanced pancreatic cancer.

BackgroundCurcumin is a natural product that is often explored by patients with cancer. Weight loss due to fat and muscle depletion is a hallmark of pancreatic cancer and is associated with worse outcomes. Studies of curcumin's effects on muscularity show conflicting results in animal models.Methods and resultsRetrospective matched 1:2 case-control study to evaluate the effects of curcumin on body composition (determined by computerized tomography) of 66 patients with advanced pancreatic cancer (22 treated,44 controls). Average age (SEM) was 63(1.8) years, 30/66(45%) women, median number of prior therapies was 2, median (IQR) time from advanced pancreatic cancer diagnosis to baseline image was 7(2-13.5) months (p&gt;0.2, all variables). All patients lost weight (3.3% and 1.3%, treated vs. control, p=0.13). Treated patients lost more muscle (median [IQR] percent change -4.8[-9.1,-0.1] vs. -0.05%[-4.2, 2.6] in controls,p&lt;0.001) and fat (median [IQR] percent change -6.8%[-15,-0.6] vs. -4.0%[-7.6, 1.3] in controls,p=0.04). Subcutaneous fat was more affected in the treated patients. Sarcopenic patients treated with curcumin(n=15) had survival of 169(115-223) days vs. 299(229-369) sarcopenic controls(p=0.024). No survival difference was found amongst non-sarcopenic patients.ConclusionsPatients with advanced pancreatic cancer treated with curcumin showed significantly greater loss of subcutaneous fat and muscle than matched untreated controls

Predictors of survival – multivariate analysis.

<p>*Cox Univariate analyses.</p><p>**Backward elimination method of Cox Proportional Hazards Model.</p