From Children's Arithmetic To Medical Problem Solving An Extension of the Kintch-Greeno Model

It has been found that expert physicians use forward reasoning in diagnostic explanations of clinical cases. This paper shows that the Kintsch-Greeno model for solving arithmetic word problems, which assumes a forward chaining process, can be extended to explain this phenomena. The basic approach is to modify the lexicon and the schema structure of the existing simulation program while retaining the basic control structure. The principle modifications are in the structure of the schemata which make use of three slots: indicator,abnormality and consequence. As with the Kintsch-Greeno theory,the model proceeds by using these schemata to build super-schemata from the propositional representation of the problem text

An Analysis of Acquisition Logistics within the National Aeronautics and Space Administration

The purpose of this study was to review past actions and assess current plans for establishing more integrated logistics management in NASA. The focus of this study was acquisition logistics, the beginning of the ILS process. This study includes a historical review of acquisition logistics in NASA\u27s major space programs as well as a review of numerous acquisition logistics models. Logistics managers from the Space Shuttle and Space Station Freedom programs were interviewed, surveyed, and observed to provide evidence of the degree to which these two programs are meeting or have met the objectives of the acquisition logistics model selected as most appropriate. Findings indicated that the Space Station Freedom, like the Space Shuttle program, is losing support and funding for ILS programs. NASA managers are opting to sacrifice long range cost savings in exchange for lower system development costs

Predictors of Time to Discontinuation of Levodopa-Carbidopa Intestinal Gel Infusion:A Retrospective Cohort Study

Background: Continuous intra-duodenal infusion of levodopa-carbidopa intestinal gel (LCIG) is a well-established therapy for patients with advanced Parkinson's disease (PD) suffering from motor complications despite optimized treatment with oral dopaminomimetics. However, time to discontinuation of treatment with LCIG varies considerably between patients, ranging from a few months to more than ten years. To improve the selection of candidates for LCIG, knowledge of prognostic factors is of paramount importance. Objective: To explore baseline predictors of time to discontinuation of LCIG. Methods: In this two-center retrospective cohort study, we reviewed the medical files of 98 PD patients treated with LCIG between April 2006 and December 2015 (53% male; mean age: 66.2 years; mean disease duration: 12.3 years). Baseline patient characteristics were used as covariates in Cox regression models. Results: During follow-up (mean observation time: 2.6 years; range: 0.1-9.3) eighteen patients discontinued treatment (18.4%), while seven patients died (7.1%). Median duration of treatment with LCIG, estimated with Kaplan-Meier analysis, was 7.8 years (95% CI: 6.7-9.0). Disease duration (in years) at baseline was a statistically significant predictor of time to discontinuation of LCIG (HR: 0.85; 95% CI: 0.75-0.96, p = 0.006). All other characteristics studied, e.g. age >70 years, did not show statistically significant associations with the total duration of treatment with LCIG. Conclusion: Our findings show a low overall rate of discontinuation of LCIG infusion, with a median duration of treatment of 7.8 years. Shorter disease duration at baseline appeared to be a predictor of earlier discontinuation of LCIG

EV-Elute: a universal platform for enrichment of functional surface marker-defined extracellular vesicle subpopulations

Intercellular communication via extracellular vesicles (EVs) has been identified as a vital component of a steadily expanding number of physiological and pathological processes. To accommodate these roles, EVs are equipped with specific proteins, lipids, and RNA molecules by EV-secreting cells. Consequently, EVs have highly heterogeneous molecular compositions. Given that surface molecules on EVs determine their interactions with their environment, it is conceivable that EV functionality differs between subpopulations with varying surface compositions. However, it has been technically challenging to examine such functional heterogeneity due to a lack of non-destructive methods to separate EV subpopulations based on their surface markers. Here, we used Design-of-Experiments methodology to rapidly optimize a protocol, which we name ‘EV-Elute’, to elute intact EVs from commercially available Protein G-coated magnetic beads. We captured EVs from various cell types on these beads using antibodies against CD9, CD63, CD81 and a custom-made protein binding phosphatidylserine (PS). When applying EV-Elute, over 70% of bound EVs could be recovered from the beads in a pH– and incubation time-dependent fashion. EV subpopulations were found to be devoid of co-isolated protein contaminants observed in whole EV isolates and showed intact morphology by electron microscopy. Proteinase K protection assays showed a mild and reversible decrease of EV membrane integrity during elution. Depending on the type of capturing antibody used, some antibodies remained EV-associated after elution. EV subpopulations showed uptake patterns similar to whole EV isolates in co-cultures of peripheral blood mononuclear cells and endothelial cells. However, in Cas9/sgRNA delivery assays, CD63+ EVs showed a lower capacity to functionally deliver cargo as compared to CD9+, CD81+ and PS+ EVs. Taken together, we developed a novel, easy-to-use platform to isolate and functionally compare surface marker-defined EV subpopulations. Importantly, this platform does not require specialized equipment or reagents and is universally applicable to any capturing antibody and EV source. Hence, EV-Elute can open new opportunities to study EV functionality at the subpopulation level

Globus offers next step in supercomputing

The Globus Project (www.globus.org),is a multidisciplinary research effort working to design a computational and communication infrastructure based on a notion called grid computing (1 page)

Cellular uptake of extracellular vesicles is mediated by clathrin-independent endocytosis and macropinocytosis

Recent evidence has established that extracellular vesicles (EVs), including exosomes and microvesicles, form an endogenous transport system through which biomolecules, including proteins and RNA, are exchanged between cells. This endows EVs with immense potential for drug delivery and regenerative medicine applications. Understanding the biology underlying EV-based intercellular transfer of cargo is of great importance for the development of EV-based therapeutics. Here, we sought to characterize the cellular mechanisms involved in EV uptake. Internalization of fluorescently-labeled EVs was evaluated in HeLa cells, in 2D (monolayer) cell culture as well as 3D spheroids. Uptake was assessed using flow cytometry and confocal microscopy, using chemical as well as RNA interference-based inhibition of key proteins involved in individual endocytic pathways. Experiments with chemical inhibitors revealed that EV uptake depends on cholesterol and tyrosine kinase activity, which are implicated in clathrin-independent endocytosis, and on Na+/H+ exchange and phosphoinositide 3-kinase activity, which are important for macropinocytosis. Furthermore, EV internalization was inhibited by siRNA-mediated knockdown of caveolin-1, flotillin-1, RhoA, Rac1 and PAK1, but not clathrin heavy chain. Together, these results suggest that EVs enter cells predominantly via clathrin-independent endocytosis and macropinocytosis. Identification of EV components that promote their uptake via pathways that lead to functional cargo transfer might allow development of more efficient therapeutics through EV-inspired engineering

Cellular uptake of extracellular vesicles is mediated by clathrin-independent endocytosis and macropinocytosis

Recent evidence has established that extracellular vesicles (EVs), including exosomes and microvesicles, form an endogenous transport system through which biomolecules, including proteins and RNA, are exchanged between cells. This endows EVs with immense potential for drug delivery and regenerative medicine applications. Understanding the biology underlying EV-based intercellular transfer of cargo is of great importance for the development of EV-based therapeutics. Here, we sought to characterize the cellular mechanisms involved in EV uptake. Internalization of fluorescently-labeled EVs was evaluated in HeLa cells, in 2D (monolayer) cell culture as well as 3D spheroids. Uptake was assessed using flow cytometry and confocal microscopy, using chemical as well as RNA interference-based inhibition of key proteins involved in individual endocytic pathways. Experiments with chemical inhibitors revealed that EV uptake depends on cholesterol and tyrosine kinase activity, which are implicated in clathrin-independent endocytosis, and on Na+/H+ exchange and phosphoinositide 3-kinase activity, which are important for macropinocytosis. Furthermore, EV internalization was inhibited by siRNA-mediated knockdown of caveolin-1, flotillin-1, RhoA, Rac1 and PAK1, but not clathrin heavy chain. Together, these results suggest that EVs enter cells predominantly via clathrin-independent endocytosis and macropinocytosis. Identification of EV components that promote their uptake via pathways that lead to functional cargo transfer might allow development of more efficient therapeutics through EV-inspired engineering

Recombinant phosphatidylserine-binding nanobodies for targeting of extracellular vesicles to tumor cells : a plug-and-play approach

Extracellular vesicles (EVs) are increasingly being recognized as candidate drug delivery systems due to their ability to functionally transfer biological cargo between cells. However, manipulation of targeting properties of EVs through engineering of the producer cells can be challenging and time-consuming. As a novel approach to confer tumor targeting properties to isolated EVs, we generated recombinant fusion proteins of nanobodies against the epidermal growth factor receptor (EGFR) fused to phosphatidylserine (PS)-binding domains of lactadherin (C1C2). C1C2-nanobody fusion proteins were expressed in HEK293 cells and isolated from culture medium with near-complete purity as determined by SDS-PAGE. Fusion proteins specifically bound PS and showed no affinity for other common EV membrane lipids. Furthermore, C1C2 fused to anti-EGFR nanobodies (EGa1-C1C2) bound EGFR with high affinity and competed with binding of its natural ligand EGF, as opposed to C1C2 fused to non-targeting control nanobodies (R2-C1C2). Both proteins readily self-associated onto membranes of EVs derived from erythrocytes and Neuro2A cells without affecting EV size and integrity. EV-bound R2-C1C2 did not influence EV-cell interactions, whereas EV-bound EGa1-C1C2 dose-dependently enhanced specific binding and uptake of EVs by EGFR-overexpressing tumor cells. In conclusion, we developed a novel strategy to efficiently and universally confer tumor targeting properties to PS-exposing EVs after their isolation, without affecting EV characteristics, circumventing the need to modify EV-secreting cells. This strategy may also be employed to decorate EVs with other moieties, including imaging probes or therapeutic proteins