Tuberculin diagnostic reactions: 654 cases comprising the conjunctival, cutaneous and percutaneous tests

History of Tuberculin. || Preparation of Koch's Old Tuberculin. || Characters of Tuberculin. || The Evolution of Tuberculin as a Diagnostic Agent.THE CONJUNCTIVAL TEST. || Method of Application || The Reaction. || Time of Reaction. || Nature of the Reaction. || Other Results Obtained, || The Value of the Conjunctival Reaction. || An Unsafe Test. || Reliability. || Conclusions.THE CUTANEOUS REACTION || The tuberculin employed || Application of the test. || The Reaction. || Abnormal Reactions. || Nature of reaction. || Results obtained with the cutaneous reaction. || Value of the test. || ConclusionsTHE PERCUTANEOUS REACTION || Tuberculin Ointment. || Application of the Test. || The Reaction. || Abnormal Reactions. || Value of the Test. || ConclusionsCASES OF CONJUNCTIVAL REACTION. || CASES OF THE CUTANEOUS TEST || CASES OF PERCUTANEOUS TEST |

MurTree: Optimal Classification Trees via Dynamic Programming and Search

Decision tree learning is a widely used approach in machine learning, favoured in applications that require concise and interpretable models. Heuristic methods are traditionally used to quickly produce models with reasonably high accuracy. A commonly criticised point, however, is that the resulting trees may not necessarily be the best representation of the data in terms of accuracy and size. In recent years, this motivated the development of optimal classification tree algorithms that globally optimise the decision tree in contrast to heuristic methods that perform a sequence of locally optimal decisions. We follow this line of work and provide a novel algorithm for learning optimal classification trees based on dynamic programming and search. Our algorithm supports constraints on the depth of the tree and number of nodes. The success of our approach is attributed to a series of specialised techniques that exploit properties unique to classification trees. Whereas algorithms for optimal classification trees have traditionally been plagued by high runtimes and limited scalability, we show in a detailed experimental study that our approach uses only a fraction of the time required by the state-of-the-art and can handle datasets with tens of thousands of instances, providing several orders of magnitude improvements and notably contributing towards the practical realisation of optimal decision trees

Surface complexation models: An evaluation of model parameter estimation using FITEQL and oxide mineral titration data

The ability of surface complexation models (SCMs) to fit sets of titration data as a function of changes in model parameters was evaluated using FITEQL and acid-base titration data of [alpha]-FeOOH, [alpha]-Al2O3, and TiO2. Three SCMs were evaluated: the triple-layer model (TLM), the constant capacitance model (CCM), and the diffuse-layer model (DLM). For all models evaluated, increasing the model input value for the total number of surface sites caused a decrease in the best-fit Log K values of the surface protolysis constants. In the case of the CCM, the best-fit surface protolysis constants were relatively insensitive to changes in the value of the capacitance fitting parameter, C1, particularly for values of C1 greater than 1.2 F/m2. Similarly, the best-fit values of TLM surface electrolyte binding constants were less influenced by changes in the value of C1 when C1 was greater than 1.2 F/m2. For a given C1 value, the best-fit TLM values of the electrolyte binding constants were sensitive to changes in [Delta]pKa up to [Delta]pKa values of 3. For [Delta]pKa values above 3, no changes in the best-fit electrolyte binding constants were observed. Effects of the quality and extent of titration data on the best-fit values for surface constants are discussed for each model. A method is suggested for choosing a unique set of parameter values for each of the models.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/29417/1/0000493.pd

After the RCT: who comes to a family-based intervention for childhood overweight or obesity when it is implemented at scale in the community?

Background: When implemented at scale, the impact on health and health inequalities of public health interventions depends on who receives them in addition to intervention effectiveness. Methods: The MEND 7–13 (Mind, Exercise, Nutrition…Do it!) programme is a family-based weight management intervention for childhood overweight and obesity implemented at scale in the community. We compare the characteristics of children referred to the MEND programme (N=18 289 referred to 1940 programmes) with those of the population eligible for the intervention, and assess what predicts completion of the intervention. Results: Compared to the MEND-eligible population, proportionally more children who started MEND were: obese rather than overweight excluding obese; girls; Asian; from families with a lone parent; living in less favourable socioeconomic circumstances; and living in urban rather than rural or suburban areas. Having started the programme, children were relatively less likely to complete it if they: reported ‘abnormal’ compared to ‘normal’ levels of psychological distress; were boys; were from lone parent families; lived in less favourable socioeconomic circumstances; and had participated in a relatively large MEND programme group; or where managers had run more programmes. Conclusions: The provision and/or uptake of MEND did not appear to compromise and, if anything, promoted participation of those from disadvantaged circumstances and ethnic minority groups. However, this tendency was diminished because programme completion was less likely for those living in less favourable socioeconomic circumstances. Further research should explore how completion rates of this intervention could be improved for particular groups

Quantification and Analysis of Micro-Level Activities Data from Children Aged 1-12 Years Old for Use in the Assessments of Exposure to Recycled Tire on Turf and Playgrounds.

BACKGROUND: There are growing health concerns about exposure to toxicants released from recycled tire rubber, which is commonly used in synthetic turf and playground mats. To better estimate children\u27s exposure and risk from recycled tire rubber used in synthetic turf and playground mats, there is a need to collect detailed accurate information on mouthing activity and dermal contact behaviors. The objective of this study was to quantify and analyze micro-level activity time series (MLATS) data from children aged 1-12 years old while playing (non-sport-related games) at turf-like locations and playgrounds. Another objective was to estimate the incidental ingestion rate of rubber crumb among children. METHODS: Hand and mouth contact frequency, hourly duration, and median contact duration with different objects were calculated for children playing on turf (i.e., parks, lawns, and gardens) (n = 56) and for children playing on playground structures (n = 24). Statistically significant differences between males and females as well as children\u27s age groups were evaluated. The daily incidental ingestion rate of rubber crumb was calculated. RESULTS: For children playing on turf, there were significant differences between younger (1-6 y) and older (7-12 y) children for the mouthing median duration with non-dietary objects and all objects. For children playing on playground structures, we found significant mouthing frequency differences between younger (1-6 y) and older children (7-12 y) with all objects, and for mouthing median duration with non-dietary objects. There were no significant differences between males and females playing on artificial turf-like surfaces or playground mats. Our estimated mean incidental ingestion rate was 0.08, 0.07, and 0.08 g rubber crumb/day for children DISCUSSION: our results suggest that age and contact duration should be considered in risk assessment models to evaluate mouthing activities when children are playing on artificial turf surfaces or playground mats

Clustering and Visualization of Fuzzy Communities In Social Networks

Abstract-We discuss a new formulation of a fuzzy validity index that generalizes the Newman-Girvan (NG) modularity function. The NG function serves as a cluster validity functional in community detection studies. The input data is an undirected graph G = (V, E) that represents a social network. Clusters in V correspond to socially similar substructures in the network. We compare our fuzzy modularity to an existing modularity function using the well-studied Karate Club data set

A substrate mimic allows high-throughput assay of the FabA protein and consequently the identification of a novel inhibitor of <i>Pseudomonas aeruginosa</i> FabA

The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement n° 223461, Senior Investigator Award WT100209MA (JHN), Swedish Science Council (GS), Wellcome Trust Strategic grant 100476/Z/12/Z (DWG) and National Institutes of Health R01GM095970 (MB). JHN & ADS are Royal Society Wolfson Merit Award holders.Eukaryotes and prokaryotes possess fatty acid synthase (FAS) biosynthetic pathway(s) that comprise iterative chain elongation, reduction, and dehydration reactions. The bacterial FASII pathway differs significantly from human FAS pathways and is a long-standing target for antibiotic development against Gram-negative bacteria due to differences from the human FAS, and several existing antibacterial agents are known to inhibit FASII enzymes. N-acetylcysteamine (NAC) fatty acid thioesters have been used as mimics of the natural acyl carrier protein (ACP) pathway intermediates to assay FASII enzymes, and we now report an assay of FabV from Pseudomonas aeruginosa using (E)-2-decenoyl-NAC. In addition, we have converted an existing UV absorbance assay for FabA, the bifunctional dehydration/epimerization enzyme and key target in the FAS II pathway, into a high throughput enzyme coupled fluorescence assay that has been employed to screen a library of diverse small molecules. With this approach, N-(4-chlorobenzyl)-3-(2-furyl)-1H-1,2,4-triazol-5-amine (N42FTA) was found to competitively inhibit (pIC50 = 5.7 ± 0.2) the processing of 3-hydroxydecanoyl-NAC by P. aeruginosa FabA. N42FTA was shown to be potent in blocking crosslinking of E. coli ACP and FabA, a direct mimic of the biological process. The co-complex structure of N42FTA with P. aeruginosa FabA protein rationalizes affinity and suggests future design opportunities. Employing NAC fatty acid mimics to developing further high throughput assays for individual enzymes in the FASII pathway should aid in the discovery of new antimicrobials.Publisher PDFPeer reviewe