planning group
Recently Published Documents

Estimating and Planning is very important for the success of any project, it is the key factor to its successful conclusion. In software project management there has been a shift from traditional plan management to agile project management. Agile project management has been viewed as the new big change in the software industry. The Project Management Institute (PMI) was founded in 1969 and offers industry-leading certifications for project management professionals. PMI, which was traditionally best known for its traditional project management certifications, has just recently started offering an agile alternative. It can certainly be said that Planning poker is becoming the new standard for software development projects. The concept of it has been around for some time, and although knowledge and usage are increasing. Understanding when to use it and which success factors to consider is important to achieve success. Terminologies: ● User - a user participating in Poker Planning. ● Group - A group of users participating in Poker Planning. ● Poker board - a Dashboard where users would be playing the game. ● Ticket - A Ticket is a JIRA issue. Keywords: PokerPlanner, Agile, Software Development, JIRA, Web Applications

Introduction: Approximately half of dislocating total hip arthroplasties (THAs) demonstrate acetabular component position within traditional safe zones. It is unclear if postoperative functional acetabular position can be reliably improved by considering preoperative pelvic tilt. We investigated whether standing cup position targets could be more accurately achieved by considering preoperative standing pelvic tilt in addition to bone landmarks when planning for robot-assisted THA. Methods: We reviewed 146 THAs performed by a single surgeon using computed tomography-based 3-dimensional planning and robotic technology to guide acetabular reaming and component insertion. Planning for 73 consecutive cases started at 40° of inclination and 22° of anteversion relative to the supine functional plane and was adjusted to better match native hip anatomy. Planning for the next 73 cases was modified to consider standing pelvic position based on standing preoperative radiographs. We compared groups to determine the rate when cups were placed outside our standing targets of 15–30° anteversion and 35–50° inclination. Results: Cup position proved to be reliable in both groups, with 83% of cups in the anatomic planning cohort and 90% of cups in the functional planning cohort achieving standing targets for both anteversion and inclination ( p = 0.227). Variances were lower in the functional planning group: 9.4° versus 15.8° of inclination ( p = 0.079) and 18.3° versus 26.1° of anteversion ( p = 0.352). The range of functional positions was narrower in the functional planning group: 35.7–47.5° versus 31.8–54.9° of inclination and 16.7–35.0° versus 10.1–35.9° of anteversion. Discussion: Our results suggest enhanced planning that considers pelvic tilt, when coupled to a precision tool to achieve the plan, can reliably achieve target standing component positions. Considering preoperative functional pelvic position may improve postoperative functional acetabular component placement in THA, but the clinical benefit of this has yet to be confirmed.

Root cause analysis techniques are an excellent choice for identifying the root causes of cost deviation in Iraqi construction projects. Many root cause analysis tools, such as the Fishbone diagram (FD), Pareto diagram (PD), and 5-Why analysis, have started to emerge from the literature as standard guidelines for identifying root causes. This study identified eighteen causes of cost deviation in construction projects, which they classified into three major groups (planning causes, designing causes, and execution causes). Pareto study indicates that twelve causes out of eighteen represent the most significant causes of cost deviation. After that, these eleven causes were filtered by 5-Why analysis, which concluded that insufficient project information and the implementation method is not appropriate with the project type are root causes for the planning group, while unclear owner requirements and changes in design are root causes for the designing causes group, Finally, changes in orders is a root cause for execution group.

            Learning analytics is a recent innovation that holds promise for improving retention in fully online programs. However, only a few case studies exist to show models for and outcomes of the implementation of learning analytics systems. This paper reports on a learning analytics implementation in a fully online, multidisciplinary program designed for nontraditional students using a pilot planning group with stakeholders from various roles. The processes for selecting reports, creating communication structures, and evaluating outcomes are outlined. Overall, faculty and advisors were positive about the project and found the reports to be helpful. The results suggest that the actions most often triggered by learning analytics reports were emails to students. Evaluation results suggest that the implementation of the learning analytics program and the interventions enacted had a positive impact on student success, though we acknowledge that it is difficult to isolate the impact of the learning analytics tool itself. We also address several challenges that came along with the implementation of learning analytics including understanding the efficacy of interventions, data security, and ethics.

INTRODUCTION Implementation of programs that increase both psychiatric patient education and their involvement in treatment programming can lead to positive outcomes postdischarge. Patients involved in programs focusing on skills, recovery, and that are individualized show a reduction in symptoms as well as an increase in engagement, treatment, and recovery posthospitalization. AIMS This quality improvement project examines (1) the effectiveness of a safety planning group on an inpatient psychiatric unit for developing individualized safety plans, (2) the usefulness of the safety plans upon discharge, and (3) how helpful the patient found them. METHODS A standardized safety plan was presented during 1-hour groups on an adult inpatient unit. Completed safety plans scored using a rubric to determine how patients individualized the content. One week postdischarge, patients were contacted to determine location and use of the safety plan since discharge. RESULTS Patient’s ( n = 124) safety plans were relatively individualized when compared to the standardized safety plan (mean [ SD] = 32.85 [8.27] on a 44-point rating). Of those patients who were contacted postdischarge ( n = 76), 73 (96.1%) had a copy of their safety plan 1-week postdischarge while 28 (36.8%) reported using their safety plan since discharge. Many of the patients who used their safety plan reported that it was helpful ( n = 19; 67.9%). CONCLUSIONS Developing a safety plan can be a helpful tool for individuals admitted to a psychiatric inpatient unit.

<p>The NASA/ESA Joint Program Planning Group (JPPG) subgroup on satellite calibration/validation was created to facilitate coordinated efforts between ESA, NASA, and their respective investigator communities to enhance calibration and/or validation activities for current and/or future satellite missions. The cooperation enabled through this activity includes airborne campaigns, use of surface-based measurements, and satellite-to-satellite intercomparisons. Numerous examples of such activities exist over the ten years of the JPPG. In this talk, examples of calibration/validation focused activities, accomplishments, and future plans will be presented. A particular focus will be on how the COVID-19 pandemic has affected field work planned for 2020 and 2021.  The JPPG subgroup also includes joint European-US studies of satellite results that integrate the results of both parties’ observational capabilities, and the status of those activities will be presented as well.</p>

<p>The worldwide operating Pandonia Global Network (PGN) is measuring atmospheric trace gases at high temporal resolution with the purpose of air quality monitoring and satellite validation. It is an activity carried out jointly by NASA and ESA as part of their “Joint Program Planning Group Subgroup” on calibration and validation and field activities, with additional collaboration from other institutions, most notably a strongly growing participation of the US Environmental Protection Agency (EPA). The more than 50 official PGN instruments are homogeneously calibrated and their data are centrally processed in real-time. Since 2019, total NO2 column amounts from the PGN are uploaded daily to the ESA Atmospheric Validation Data Centre (EVDC), where they are used for operational validation of Sentinel 5P (S5P) retrievals. During 2020, a new processor version 1.8 has been developed, which produces improved total NO2 column amounts and also the following new PGN products: total columns of O3, SO2 and HCHO based on direct sun observations and tropospheric columns, surface concentrations and tropospheric profiles of NO2 and HCHO based on sky observations. In this presentation we show some first examples of comparisons of the new PGN products with S5P data. Compared to the total NO2 columns from the previous processor version 1.7, the 1.8 data use better estimations for the effective NO2 temperature and the air mass factor. The effect of this improvement on the comparison with S5P retrievals is shown for some remote and high-altitude PGN sites. The new PGN total O3 column algorithm also retrieves the effective O3 temperature, which is a rather unique feature for ground-based direct sun retrievals. This allows us to analyze whether potential differences to satellite O3 columns might be influenced by the O3 temperature. Including the O3 temperature in the spectral fitting has also allowed the retrieval of accurate total SO2 columns. This PGN data product is of particular interest for satellite validation, as ground-based total SO2 column amounts are hardly measured by other instrumentation. An initial comparison of the PGN SO2 columns with S5P retrievals at selected PGN sites around the world is shown. PGN total HCHO columns from direct sun measurements are now possible for those PGN instruments, where the hardware parts made of Delrin, which outgasses HCHO, have been replaced by Nylon pieces. An initial comparison to HCHO retrievals from S5P is shown for locations with these upgraded instruments. Another new feature in the 1.8 PGN data is that they come with comprehensive uncertainty estimations, separated in the output files as independent, structured, common and total uncertainty.</p>