12 resultados para RAMI

em QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast


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Rhizopus delemar lipase catalyzed ester hydrolysis of the alpha-methoxy-beta-phenylpropanoate (I) affords the (R)-(+) and (S)-(-) isomers in > 84% enantiomeric excess. Abs. stereochem. was detd. by a single crystal X-ray anal. of a related synthetic analog. The activity of these two enantiomers on glucose transport in vitro and as anti-diabetic agents in vivo is reported and their unexpected equivalence attributed to an enzyme-mediated stereospecific isomerization of the (R)-(+) isomer. Binding studies using recombinant human PPAR-gamma (peroxisomal proliferator activated receptor gamma), now established as a mol. target for this compd. class, indicate a 20-fold higher binding affinity for the (S) antipode relative to the (R) antipode.

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. Haigh, David; Birrell, Helen C.; Cantello, Barrie C. C.; Hindley, Richard M.; Ramaswamy, Anantha; Rami, Harshad K.; Stevens, Nicola C. Department of Medicinal Chemistry, SmithKline Beecham Pharmaceuticals, Essex, UK. Tetrahedron: Asymmetry (1999), 10(7), 1335-1351. Publisher: Elsevier Science Ltd., CODEN: TASYE3 ISSN: 0957-4166. Journal written in English. CAN 131:144536 AN 1999:369513 CAPLUS (Copyright (C) 2009 ACS on SciFinder (R)) Abstract The synthesis of a new series of potent 2-oxy-3-arylpropanoic acid antihyperglycemic agents in both racemic and non-racemic form is described. (the biol. activity of these compds. was not reported here). Resoln. of racemic acids is accomplished via amide formation with either (S)-2-phenylglycinol or (S)-4-benzyl-2-oxazolidinone as complementary resolving agents. The target compds. were ?-alkoxy-4-[2-[(2-benzoxazolyl)amino]ethoxy]benzenepropanoic acid derivs.

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Buckle, D. R.; Cantello, B. C. C.; Cawthorne, M. A.; Coyle, P. J.; Dean, D. K.; Faller, A.; Haigh, D.; Hindley, R. M.; Lefcott, L. J.; et al. Dep. Medicinal Chem., Smithkline Beecham Pharmaceuticals, Surrey, UK. Bioorganic & Medicinal Chemistry Letters (1996), 6(17), 2127-2130. Publisher: Elsevier, CODEN: BMCLE8 ISSN: 0960-894X. Journal written in English. CAN 125:238227 AN 1996:573179 CAPLUS (Copyright (C) 2009 ACS on SciFinder (R)) Abstract The thiazolidine-2,4-dione ring of insulin-sensitizing antidiabetic agents can be replaced by ?-acyl-, ?-alkyl- and ?-(aralkyl)-carboxylic acids. The inclusion of an addnl. lipophilic moiety affords compds., equipotent to BRL 48482.

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A review with 22 refs. The 5-benzylthiazolidine-2,4-dione moiety of insulin sensitizing antidiabetic agents can be replaced by a range of ?-heteroatom functionalized ?-phenylpropanoic acids. ?-Oxy-carboxylic acids show potent antidiabetic activity and one compd., the ?-ethoxyacid (SB 213068), is one of the most potent antihyperglycemic agents yet reported.

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Child welfare professionals regularly make crucial decisions that have a significant impact on children and their families. The present study presents the Judgments and Decision Processes in Context model (JUDPIC) and uses it to examine the relationships between three indepndent domains: case characteristic (mother’s wish with regard to removal), practitioner characteristic (child welfare attitudes), and protective system context (four countries: Israel, the Netherlands, Northern Ireland and Spain); and three dependent factors: substantiation of maltreatment, risk assessment, and intervention recommendation.
The sample consisted of 828 practitioners from four countries. Participants were presented with a vignette of a case of alleged child maltreatment and were asked to determine whether maltreatment was substantiated, assess risk and recommend an intervention using structured instruments. Participants’ child welfare attitudes were assessed.
The case characteristic of mother’s wish with regard to removal had no impact on judgments and decisions. In contrast, practitioners’ child welfare attitudes were associated with substantiation, risk assessments and recommendations. There were significant country differences on most measures.
The findings support most of the predictions derived from the JUDPIC model. The significant differences between practitioners from different countries underscore the importance of context in child protection decision making. Training should enhance practitioners’ awareness of the impact that their attitudes and the context in which they are embedded have on their judgments and decisions.

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Rationale, aims and objectives: This study aimed to determine the value of using a mix of clinical pharmacy data and routine hospital admission spell data in the development of predictive algorithms. Exploration of risk factors in hospitalized patients, together with the targeting strategies devised, will enable the prioritization of clinical pharmacy services to optimize patient outcomes. 

Methods: Predictive algorithms were developed using a number of detailed steps using a 75% sample of integrated medicines management (IMM) patients, and validated using the remaining 25%. IMM patients receive targeted clinical pharmacy input throughout their hospital stay. The algorithms were applied to the validation sample, and predicted risk probability was generated for each patient from the coefficients. Risk threshold for the algorithms were determined by identifying the cut-off points of risk scores at which the algorithm would have the highest discriminative performance. Clinical pharmacy staffing levels were obtained from the pharmacy department staffing database. 

Results: Numbers of previous emergency admissions and admission medicines together with age-adjusted co-morbidity and diuretic receipt formed a 12-month post-discharge and/or readmission risk algorithm. Age-adjusted co-morbidity proved to be the best index to predict mortality. Increased numbers of clinical pharmacy staff at ward level was correlated with a reduction in risk-adjusted mortality index (RAMI). 

Conclusions: Algorithms created were valid in predicting risk of in-hospital and post-discharge mortality and risk of hospital readmission 3, 6 and 12 months post-discharge. The provision of ward-based clinical pharmacy services is a key component to reducing RAMI and enabling the full benefits of pharmacy input to patient care to be realized.

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Resource Selection (or Query Routing) is an important step in P2P IR. Though analogous to document retrieval in the sense of choosing a relevant subset of resources, resource selection methods have evolved independently from those for document retrieval. Among the reasons for such divergence is that document retrieval targets scenarios where underlying resources are semantically homogeneous, whereas peers would manage diverse content. We observe that semantic heterogeneity is mitigated in the clustered 2-tier P2P IR architecture resource selection layer by way of usage of clustering, and posit that this necessitates a re-look at the applicability of document retrieval methods for resource selection within such a framework. This paper empirically benchmarks document retrieval models against the state-of-the-art resource selection models for the problem of resource selection in the clustered P2P IR architecture, using classical IR evaluation metrics. Our benchmarking study illustrates that document retrieval models significantly outperform other methods for the task of resource selection in the clustered P2P IR architecture. This indicates that clustered P2P IR framework can exploit advancements in document retrieval methods to deliver corresponding improvements in resource selection, indicating potential convergence of these fields for the clustered P2P IR architecture.

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We consider the problem of resource selection in clustered Peer-to-Peer Information Retrieval (P2P IR) networks with cooperative peers. The clustered P2P IR framework presents a significant departure from general P2P IR architectures by employing clustering to ensure content coherence between resources at the resource selection layer, without disturbing document allocation. We propose that such a property could be leveraged in resource selection by adapting well-studied and popular inverted lists for centralized document retrieval. Accordingly, we propose the Inverted PeerCluster Index (IPI), an approach that adapts the inverted lists, in a straightforward manner, for resource selection in clustered P2P IR. IPI also encompasses a strikingly simple peer-specific scoring mechanism that exploits the said index for resource selection. Through an extensive empirical analysis on P2P IR testbeds, we establish that IPI competes well with the sophisticated state-of-the-art methods in virtually every parameter of interest for the resource selection task, in the context of clustered P2P IR.