Muons, which are produced naturally in the upper atmosphere, can be used to scan cargo for special nuclear materials (SNM). Preliminary simulated results show that detecting the presence of these ...materials can be accomplished by measuring the scattering of cosmic ray muons. Machine learning tools have been used on these data to classify it as SNM or not. The muon exists long enough, and is penetrating enough, that it can be used to passively scan cargo to detect SNM. By measuring the deflection angles of muons after they exit a container, one can determine whether or not SNM are present. Different detector approaches have been evaluated by considering the performance, cost, and robustness of several technologies. Simulations have been performed to help design the detectors and to determine the effectiveness of the proposed techniques. Realistic cargo containers have been simulated. Two types of techniques can be used to determine whether the cargo containers contain SNM. More traditional methods use an expert system which uses knowledge of physics to compute physical information about the cargo. The other approach is to use Machine Learning classifiers, which can be used to determine if the cargo contains SNM. These techniques include the following algorithms: decision trees, neural networks, special vector machines, and k nearest neighbours. Preliminary results from the two approaches to classification have been obtained and will be discussed in the paper.
Inhibition of neutrophil-myocyte adhesion and adhesion-dependent myocyte injury by adenosine was evaluated using isolated TNF-alpha-activated canine cells. Adenosine inhibited adhesion of activated ...neutrophils to cardiac myocytes with an IC50 of 11 +/- 4 nM. Inhibition of neutrophil adhesion (92 +/-3% by 100 nM adenosine) led to inhibition of myocyte injury (by 90 +/- 6%, as assessed by dye exclusion). Inhibition of cell adhesion by adenosine was blocked by the A2 antagonist, 1,3-dimethyl-1-propylxanthine, but not by the A1 antagonist, 8-cyclopentyl-1,3-dipropylxanthine. Moreover, the A2 agonist, CGS21680 (2-4-(2-carboxymethyl)phenethylamino-5'-N-ethylcarboxamido adenosine), but not the A1 agonist, N6-cyclopentyladenosine, mimicked adenosine in preventing cell adhesion. These observations implicate the A2 receptor in the mechanism of inhibition of cell adhesion. pretreatment and washing of neutrophils, but not cardiac myocytes, with adenosine or CGS21680 led to inhibition of adhesion, suggesting that the neutrophil A2 receptor is the target of adenosine's action. In contrast, inhibition of cell adhesion by adenosine was poteniated by 8-cyclopentyl-1,3-dipropylxanthine (IC50 = 4 +/- 1 nM) and attenuated by N6-cyclopentyladenosine, suggesting that occupancy of A1 receptors can conversely increase cell adhesion. Neutrophil-myocyte adhesion was inhibited by acadesine (IC50 = 12 +/- 2 microM) also via an adenosine-dependent mechanism because it was blocked by 1,3-dimethyl-1-propylxanthine or adenosine deaminase, an enzyme that degrades any adenosine that is formed. Acadesine-induced inhibition if cell adhesion (83 +/- 4% by 100 microM) resulted in inhibition of myocyte injury (by 76 +/- 6%). Other adenosine-regulating agents, including the acadesine analogue, GP531 (5-amino-1 beta-D-(5-benzylamino-5-deoxyribofuranosyl) imidazole-4-carboxamide), and inhibitors of adenosine transport and intracellular metabolism also inhibited cell adhesion. These results indicate that exogenous or endogenous adenosine can inhibit neutrophil-myocyte adhesion and injury in cells activated with TNF-alpha by an A2-mediated mechanism. Although the predominant activity of adenosine is to attenuate cell adhesion, stimulation of A1 receptors has the opposite effect, i.e., to augment adhesive interactions.
Abstract Overview The Client Language Assessment – Proximal/Distal (CLA-PD) is a language rating system for measuring client decision-making in interventions that target a specified behavior change ...(e.g., alcohol or other drug use). In the CLA-PD, there are five dimensions of change language (Reason, Ability, Commitment, Taking Steps, Other) adapted from the client portion of the Motivational Interviewing Skill Code (MISC). For the CLA-PD, language codes are sub-divided to discriminate statements regarding the primary, or target behavior change ( distal change ) from the intermediate coping activities ( proximal change ) that are prescribed to facilitate that target behavior change. The goal of the CLA-PD is to allow for higher specificity than existing client language measures, when process studies consider interventions that are multi-session and skill-based (e.g., cognitive behavioral therapy). Method Three raters received 40 hours of training on the use of the CLA-PD. The data were a sample of therapy session audio-files from a completed clinical trial ( N = 126), which enabled examination of client language across four sessions (i.e., first three and final attended) of three evidence-based alcohol interventions (cognitive behavioral therapy, twelve-step facilitation therapy, motivational enhancement therapy). Results Inter-rater reliability results for summary scores showed “excellent” reliability for the measure. Specifically, two-way mixed intraclass coefficients ranged from .83 to .95. Internal consistency reliability showed alphas across sessions that ranged from “fair” to “good” (α = .74–.84). In convergent and discriminant validity analyses using data independently measured with MISC-based ratings, the pattern of results was as would be expected. Specifically, convergent correlations, by valence (i.e., change and sustain talk), between CLA-PD Distal and MISC-based language scores were moderate ( r = .46–.55, p < .001) while discriminant correlations by valence for CLA-PD Proximal and MISC-based language scores were small ( r = .22–.24, p < .05). Finally, proportion Change Talk Proximal predicted subsequent session coping behaviors (i.e., processes of change) as well as 3-month Alcoholics Anonymous involvement and attendance ( p s < .05–.005), but not 3-month alcohol abstinence self-efficacy. Further, analyses of criterion predictive validity showed that proportion Change Talk Distal predicted 3- and 12-month drinking frequency and quantity measures ( p s < .05–.005). Conclusions When behavior change treatments are multi-session and/or skill-based, the present analyses suggest the CLA-PD is a promising, psychometrically sound observational rating measure of client verbalized decision-making.
Methylpalladium(II) carbene complexes of the type Pd(NHC)Me(P-P)BF(4) (NHC = N-heterocyclic carbene, P-P = chelating phosphine) have been synthesised, the complex Pd(tmiy)Me(dcype)BF(4) (tmiy = ...1,3,4,5-tetramethylimidazol-2-ylidene, dcype = 1,2-bis(dicyclohexylphosphino)ethane) being characterised crystallographically. Complexes bearing the tmiy ligands were shown to decompose in an analogous manner to complexes bearing monodentate phosphine ligands, with the rate of decomposition being nominally linked to the size of the chelate ring. The decomposition of these complexes in the presence of aryl halides-expected to yield Pd(Ar)X(P-P)-was studied and shown instead to yield PdX(2)(P-P) and Pd(tmiy)X(P-P)BF(4). Additionally, Pd(Me)X(P-P) and Pd(Ar)X(P-P) were observed in some cases. Intermolecular cross-over reactions between the starting complex and Pd(Ar)X(P-P) were found to be the source of these unexpected products.
The reaction of diarylbutenynylruthenium complexes Ru(η3-C(CCC6H4R)C(R′)C6H4R)(PMe3)4+ (C6H4R = C6H4-4- t Bu, Ph, C6H4-4-Me; R′ = H, Me) with dimethylmagnesium yields the cyclometalated ...ruthenaindene complexes Ru(C(CCC6H4R)C(R′)C6H3R)(PMe3)4 with ruthenium incorporated into the five-membered ring of an indene. The reaction involves the initial formation of methylruthenium complexes, which then rearrange with the elimination of methane to yield the product. The complexes Ru(C(CCC6H4R)C(R′)C6H3R)(PMe3)4 (C6H4R = C6H4-4- t Bu, R′ = H; C6H4R = Ph, R′ = Me) were crystallographically characterized.
Organizational culture is key to the successful implementation of major improvement strategies. Transformation to a patient-centered medical home (PCHM) is such an improvement strategy, requiring a ...shift from provider-centric care to team-based care. Because this shift may impact provider satisfaction, it is important to understand the relationship between provider satisfaction and organizational culture, specifically in the context of practices that have transformed to a PCMH model.
This was a cross-sectional study of surveys conducted in 2011 among providers and staff in 10 primary care clinics implementing their version of a PCMH: Care by Design. Measures included the Organizational Culture Assessment Instrument and the American Medical Group Association provider satisfaction survey.
Providers were most satisfied with quality of care (mean, 4.14; scale of 1-5) and interactions with patients (mean, 4.12) and were least satisfied with time spent working (mean, 3.47), paperwork (mean, 3.45), and compensation (mean, 3.35). Culture profiles differed across clinics, with family/clan and hierarchical cultures the most common. Significant correlations (P ≤ .05) between provider satisfaction and clinic culture archetypes included family/clan culture negatively correlated with administrative work; entrepreneurial culture positively correlated with the Time Spent Working dimension; market/rational culture positively correlated with how practices were facing economic and strategic challenges; and hierarchical culture negatively correlated with the Relationships with Staff and Resource dimensions.
Provider satisfaction is an important metric for assessing experiences with features of a PCMH model. Identification of clinic-specific culture archetypes and archetype associations with provider satisfaction can help inform practice redesign. Attention to effective methods for changing organizational culture is recommended.
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