Knowledge Systems Institute

Reintegration programs for ex-combatants around the globe promote their technical and vocational education and training (TVET). The aim is to help them develop skills, assume new social roles, and gain community acceptance, yet the experiences and perceptions of the ex-combatants who participate in these programs have been little explored. Thus, it is not known whether this group finds access to TVET useful in building new social networks, which is a critical factor in preventing further violence and achieving social cohesion. This in-depth interview study with female and male ex-combatants from Medellín, Colombia, who are at various stages of TVET engagement examined their perceptions of whether and how TVET contributed to their social reintegration. The findings illustrate that some forms of TVET promoted psychosocial recovery and build social bonds, whereas other types reinforced isolation and segregation. This study also found that the TVET programs overlooked the ex-combatants' limitations on socializing that were imposed by their violent environments and feelings of stigmatization. These findings suggest a need to complement education programs for economic development with approaches that help develop social bonds and trust between ex-combatants and their communities.

Communities of practice are important for supporting multisectoral engagement to address community problems. In this study, communities of practice were used to support implementation of the Strategic Prevention Framework in Kansas. The findings reveal that communities of practice were used at local and state levels, and communities used integrated technology to facilitate collaboration. Additionally, the findings indicate that communities of practice facilitated practice changes across communities. These findings support previous research related to communities of practice, while demonstrating the need for increased exploration in how communities of practice can support the implementation of evidence-based prevention strategies within and across communities.

EC 2.5.1.18), kao i koncentraciju glutationa (GSH). Parametri su ispitivani u visceralnoj masi pua Viviparus acerosus i koljke Corbicula fluminea.

Real Time Basin Modeling: Improving Geopressure and Earth Stress Predictions William Bradley Standifird; William Bradley Standifird Knowledge Systems, Inc. Search for other works by this author on: This Site Google Scholar Martin David Matthews Martin David Matthews Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Offshore Europe Oil and Gas Exhibition and Conference, Aberdeen, United Kingdom, September 2005. Paper Number: SPE-96464-MS https://doi.org/10.2118/96464-MS Published: September 06 2005 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Standifird, William Bradley, and Martin David Matthews. "Real Time Basin Modeling: Improving Geopressure and Earth Stress Predictions." Paper presented at the SPE Offshore Europe Oil and Gas Exhibition and Conference, Aberdeen, United Kingdom, September 2005. doi: https://doi.org/10.2118/96464-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Offshore Europe Conference and Exhibition Search Advanced Search AbstractBasin modeling is an effective tool for pore pressure prediction. A model that can be updated as new data is acquired can provide a Look Ahead prediction that may bevalid for several thousand feet ahead of the bit.A new modeling program is described that has proven effective both in pre-drill analysis and in while-drilling situations for a variety of geologic regimes.In the recently completed DEA 119 Phase 2 study, pressure gradients were predicted to less s than 1 ppg for the whole well in 62% of blind test analyses.In numerous wells, real time updating of the basin model has proved effective at narrowing the envelope of pore pressure and Earth stress uncertainty ahead of the bit.The model utilizes conventional compaction principles derived from seismic and/or well gradient logs as calibration. It combines this information with geologic-based information (ages, thickness, porosity and lithology) to predict the geopressure environment that will be encountered by the well.As the well is drilled, new information becomes available that will either confirm or refute the original geopressure prediction.This new data is well-specific and can be used to update the basin model.The data ahead of the bit still contains all of the information that is known about the area and has not been changed by the addition of the real time data.Adjusting the model withthe newly acquired data will therefore reduce the envelope of uncertainty that existed in the original model and update the prediction with the new information.This updating is performed in real time and is available while the well is being drilled.An early example of basin modeling in a real time look ahead mode is shown to demonstrate the challenges that have been addressed to date.Through careful examination of a case where performance could have been better, the authors reveal the weaknesses of the approach such that they can be better understood. Furthermore, the example demonstrates the capability to update the prediction of pore pressure ahead of the bit and use this advance prediction for other solutions such as wellbore stability computations.Aggregated look ahead performance results from five other projects are revealed that demonstrate the ability of this technology to provide information to operators that can improve the safety and performance of well construction.IntroductionRecent multi-year analysis suggests abnormal pressure and wellbore instability represent 30–50% of non-productive time during well construction[1].Failure to correctly anticipate subsurface environment in well planning can cause over or under-design of the tubular and fluids programs resulting in excess construction costs, sidetracks, and inability to reach geologic objectives. Proper planning can reduce these problems; however, real time model updating (a.k.a. surveillance) can not only minimize downtime, it can save casing strings and enable success where operating based on the original plan will result in failure. Monitoring shale pressures with logging while drilling measurements and petrophysical techniques is a reactive approach that requires the formation to be exposed, sometimes over a hundred feet, before an analysis can be performed.The purpose of this paper is to describe a pro-active approach, using fit for purpose pore pressure and Earth stress forward modeling technology, to improve the success and efficiency of well construction. Keywords: basin modeling, drilling, knowledge system inc, real time system, wellbore integrity, artificial intelligence, expert system, correlation, petrophysical analysis, real-time basin modeling Subjects: Wellbore Design, Reservoir Characterization, Wellbore integrity, Reservoir geomechanics This content is only available via PDF. 2005. Society of Petroleum Engineers You can access this article if you purchase or spend a download.

Three automatic naming tasks (Wiig & Nielsen, 1999) were administered to 60 normally functioning adults. The mean time required for naming 40 single-dimension (colors, forms, numbers, and letters) and 40 dual-dimension stimuli (color-form, color-number, and color-letter combinations) were compared in young (17–38 yr.) and older (40–68 yr.) men and women. Analysis of variance for the combined groups indicated significant naming-time differences for age but not foe sex. There were no significant interaction effects. For men there was a significant naming time difference between age groups for forms, and for women for colors and forms. The sex-specific analyses indicated no significant differences in naming time based on age groups for color-form, color-number, or color-letter combinations. In a second study of adult subjects (n = 14), functional brain activity was measured with regional cerebral blood flow during the performance of the color, form, and color-form naming tasks. One subject was repeatedly measured during the performance of each task, whereas 13 subjects were measured during the performance of color-form naming. In comparison to normal reference values for rest and FAS verbal fluency, blood-flow measurements showed a consistent parietal-lobe activation during form and color-form naming, but only a slight activation during color naming. During all naming tasks, a significant frontal and frontotemporal flow decrease was seen in comparison to both rest and verbal fluency reference values. This functional brain activation pattern of a parietal increase and a frontotemporal decrease was consistently confirmed across subjects during the color-form naming task.

In this paper we model each 2D image as a generalized extended pseudo-symbolic picture based on the absolute spatial relationships in the image. Each generalized extended pseudo-symbolic picture can then be represented by a GEP-2D string. We combine GEP-2D strings and usual 2D strings into generalized combined 2D strings to represent 2D images in order to capture both the absolute and relative spatial relationships in the image. Then we address how to maintain the complete information about the absolute spatial relationships in the image. Picture retrieval by generalized combined 2D strings is discussed.

Smalltalk has a reputation for being slow and a offers many ways to create inefficient code, and memory hog. In reality, the Smalltalk environment programmers often exploit those opportunities.However, there are just as many ways to create efficient code, some of which may not be available in more traditional languages. Whether an application is efficient or not has more to do with the way the programmer has used the available tools than the tools themselves.This tutorial teaches Smalltalk programmers how to write efficient programs. The emphasis is on how to exploit, rather than sacrifice, the benefits of good object-oriented design. You should have at least six months experience with Smalltalk writing non-toy programs to get the most benefit from the tutorial.

KMS is a commercial hypermedia system developed by Knowledge Systems for networks of heterogeneous workstations. It is designed to support organization-wide collaboration for a broad range of applications, such as electronic publishing, software engineering, project management, computer-aided design and on-line documentation. KMS is a successor to the ZOG system developed at Carnegie Mellon University from 1972 to 1985.