183 research outputs found
Hauntings – A nodalist study
No full textSince Deleuze and Guattari first described the concept of the rhizome as a model of cultural transmission in A Thousand Plateaus (1980), a new way of processing information in the Arts and Social Sciences has emerged – ‘Nodalism’. Philip Gochenour has convincingly argued that units of culture can now be thought of as ‘nodes’ existing in a nonhierarchical, web-like network. Information transfer between nodes in the network is horizontal, omni-directional and not necessarily teleological, a way of viewing the world which has been paralleled and actualized in the last twenty years by the emergence, growth and ubiquity of the internet and the World Wide Web.
The author – a developing audiovisual artist – here offers four videomusic pieces and one virtual sound-synthesis tool. At first glance, the pieces may appear to have little in common. However, the commentary will attempt to show that they are subtly linked together, immersed in a cocoon of rhizomatic, pluralistic, thread-like connections.
The strongest ‘thread’ holding them together appears to be the trope of being ‘haunted’ in some way – either by influence, genre, or overarching concept. However, this thesis will attempt to show how a detailed consideration of each piece results in a highly complex final picture in which the pieces can be thought of as individual cultural nodes suspended in a dense rhizomatic mass of lateral cultural threads. For the sake of completion, however, the project has received the name Hauntings in reference to one of the strongest shared tropes running throughout all five works
CVM-based first-principles calculations for Fe-based alloys
No full textABSTRACTCluster Variation Method (CVM) has been recognized as one of the most reliable theoretical tools to incorporate wide range of atomic correlations into a free energy formula. By combining CVM with electronic structure total energy calculations, one can perform first-principles calculations of alloy phase equilibria. The author attempted such CVM-based first-principles calculations for various alloy systems including noble metal alloys, transition-noble alloys, III-V semiconductor alloys and Fe-based alloy systems. Furthermore, CVM can be extended to two kinds of kinetics calculations. One is Path Probability Method (PPM) which is the natural extension of the CVM to time domain and is quite powerful to investigate atomistic kinetic phenomena. The other one is Phase Field Method (PFM) with the CVM free energy as a homogeneous free energy density term in the PFM. The author’s group applied the latter procedure to study time evolution process of ordered domains associated with disorder-L10 transition in Fe-Pd and Fe-Pt systems. CVM has, therefore, a potential applicability for the systematic studies covering atomistic to microstructural scales. It has been, however, pointed out that the conventional CVM is not able to include local lattice relaxation effects and that the resulting order-disorder transition temperatures are overestimated. In order to circumvent such inconveniences, Continuous Displacement Cluster Variation Method (CDCVM) has been developed. Since first-principles CDCVM calculations are still beyond the scope at the present stage, preliminary results on the two dimensional square lattice and an fcc lattice with primitive Lennard-Jones type potentials are demonstrated in the last section.</jats:p
CVM signal intensity from CII-challenged mice increases over disease course and correlates with arthritic severity.
No full text<p>(A) Mice were injected i.p. with SapC-DOPS-CVM starting on day 23 following primary CII immunization and then every other day. Mice were imaged daily by IVIS®. Columns indicate the mean IVIS® intensity values (average radiance) for paws in each group +/− the SEM. Mice were scored macroscopically for arthritis daily. N of paws imaged in groups were as follows: No SapC-DOPS-CVM, CII+: 16; SapC-DOPS-CVM+, no CII:16; SapC-DOPS-CVM+,CII+macroscopic arthritis: 8; SapC-DOPS-CVM+CII+ no macroscopic arthritis: 24. * = p<0.05 as compared to SapC-DOPS-CVM+, no CII, Mann Whitney (B) Box plots indicate the median values and range for IVIS® intensity of paws receiving the specified macroscopic arthritic score during the time course of disease. The line represents linear regression of mean values with the correlation coefficients indicated. Correlation of arthritis parameter values and IVIS® intensity signal values is significant, p<0.005, Pearson Product Moment Correlation and Spearman Rank Order Correlation.</p
CVM signal intensity increases during the course of K/BxN arthritis and correlates with arthritic parameters.
No full text<p>C57Bl/6 mice were given 150 µl of K/BxN sera i.p. and 84 µg of SapC-DOPS-CVM as indicated. (A) Means of back paw intensity values are graphed as columns with error bars representing standard error of the mean. * p<0.05, Students t-test, n≥4 mice per group. For mice treated with K/BxN sera (n = 7) and given SapC-DOPS-CVM the (B) changes in paw thickness and (C) changes in ankle circumference were rounded to the nearest millimeter and the means (+/− SEM) of IVIS® signal intensity for the corresponding paws are graphed as columns. Lines represent linear regression of values in B and C with correlation coefficients indicated. Correlation of arthritis parameters and IVIS® intensity signals in B and C is significant p<0.005, as determined by Pearson Product Moment Correlation and Spearman Rank Order Correlation.</p
Isolation of polymorphic microsatellite markers for the demersal fish Helicolenus dactylopterus (Dela Roche 1809)
No full textSix microsatellite loci were identified for the demersal deep-sea fish Helicolenus dactylopterus. All loci were highly polymorphic (5–21 alleles per locus). Observed heterozygosities were from 0.378 to 0.868, while the expected heterozygosities ranged from 0.529 to 0.925. Multiplex PCR reactions were optimized. Microsatellite markers were developed for analysis of genetic structure including identification of stocks and migration patterns. The resulting data will be used to help in the establishment of scientifically based fisheries management for this species. Departures from the expected Hardy–Weinberg equilibrium were observed in three loci, and are likely to be a consequence of population structuring across the Azorean islands
The cervicovaginal mucus barrier to HIV-1 is diminished in bacterial vaginosis - Fig 6
No full textHIV virion ensemble-averaged mean square displacement at a time scale (τ) of 1 s in CVM plotted as a function of (A) pH (n = 84 CVM samples) (B) D-LA (n = 79 CVM samples) and (C) total lactic acid (n = 79 CVM samples). The shape of the data marker reflects the group assignment and the color reflects community state types based on available 16S sequencing data. Pearson correlation coefficient (r) value shown on graph. All p values were p<0.0001.</p
Relationship between mandibular second molar calcification stages and cervical vertebrae maturity in Italian children and young adults
No full textAIM: The aim of this study was to investigate the relationship between the stages of calcification of the mandibular second molar and the stages of skeletal maturity among Italian children and young adults.
MATERIALS AND METHODS: Cross-sectional descriptive study. The samples were derived from panoramic radiographs and lateral cephalograms of 500 Italian subjects aged from 10 to 20 years. Dental maturity index (DM) was assessed by calcification stages of the mandibular second molars according to the Demirjian method; skeletal maturity was evaluated with cervical vertebrae maturation index (CVM) according to Hassel and Farman. The Pearson r coefficient and Spearman rank correlation coefficient were estimated to determine the relationship between DM and CVM.
RESULTS: Skeletal maturation stages occurred earlier in females (about 6 months). A highly significant correlation between CVM and DM (0.78-0.86 cor according to Pearson test and 0.81-0.85 rho according to Spearman test) was found. DM stage E corresponds to phase CVM 1 and 2 (the phase prior to the growth spurt), DM stage F corresponds to the phase of pubertal growth spurt, stages CVM 2 and CVM 3; DM stage G is indicator of the growth spurt underway (CVM 3-4), but it can still be found during CVM 5 in females.
CONCLUSION: The second mandibular molars can be considered reliable indicators for the evaluation of the growth phases. In case of females the end of the growth spurt it is not clearly associated with a dental maturity stage and needs to be stated with further parameters such as CVM
Comparative analysis of nonparametric change-point detectors commonly used in hydrology
No full textSeveral commonly-used nonparametric change-point detection methods are analysed in terms of power, ability and accuracy of the estimated change-point location. The analysis is performed with synthetic data for different sample sizes, two types of change and different magnitudes of change. The methods studied are the Pettitt method, a method based on the Cramér von Mises (CvM) two-sample test statistic and a variant of the CUSUM method. The methods differ considerably in behaviour. For all methods the spread of estimated change-point location increases significantly for points near one of the ends of the sample. Series of annual maximum runoff for four stations on the Yangtze River in China are used to examine the performance of the methods on real data. It was found that the CvM-based test gave the best results, but all three methods suffer from bias and low detection rates for change points near the ends of the series.Water Resource
Relação entre função pulmonar e as propriedades musculares em pacientes com doença pulmonar obstrutiva crônica
No full textObjetivo: Determinar as interrelações entre função pulmonar e os atributos massa e força muscular em pacientes com doença pulmonar obstrutiva crônica (DPOC). Método: 22 pacientes com DPOC foram submetidos à avaliação espirométrica, à composição corporal por bioimpedância elétrica e de força muscular do quadríceps femoral pela análise da contração voluntária máxima (CVM). Para testar as relações entre os indicadores volume expiratório forçado em um segundo (VEF1), massa magra (MM) e CVM foram realizadas correlações de Pearson. Resultados: Houve relações significantes entre o VEF1 e a MM (r=0,48;p=0,02), VEF1 e a CVM (r=0,45; p=0,05), assim como a MM e a CVM (r=0,67;p=0,002). Conclusão: Os resultados desse estudo demonstram que em pacientes com DPOC estáveis de grau moderado, o distúrbio ventilatório obstrutivo, evidenciado pelo indicador espirométrico VEF1, relacionou-se com os atributos de massa e força muscular periférica, e o declínio da força foi proporcional a massa muscular remanescente.</jats:p
Deep learning approaches for quantitative and qualitative assessment of cervical vertebral maturation staging systems.
No full textTo investigate the potential of artificial intelligence (AI) in Cervical Vertebral Maturation (CVM) staging, we developed and compared AI-based qualitative CVM and AI-based quantitative QCVM methods. A dataset of 3,600 lateral cephalometric images from 6 medical centers was divided into training, validation, and testing sets in an 8:1:1 ratio. The QCVM approach categorized images into six stages (QCVM I-IV) based on measurements from 13 cervical vertebral landmarks, while the qualitative method identified six stages (CS1-CS6) through morphological assessment of three cervical vertebrae. Statistical analyses evaluated the methods' performance, including the Pearson correlation coefficient, mean square error (MSE), success detection rate (SDR), precision-recall metrics, and the F1 score. For landmark prediction, our AI model demonstrated remarkable performance, achieving an SDR (error threshold of ≤ 1.0 mm) of 97.14% and with the mean prediction error across thirteen landmarks ranging narrowly from 0.17 to 0.55 mm. Based on the AI-predicted landmarks, the cervical vertebral measurements showed strong agreement with orthodontists, as indicated by a Pearson correlation coefficient of 0.98 and an MSE of 0.004. Besides, the CVM method attained an overall classification accuracy of 71.11%, while the QCVM method showed a higher accuracy of 78.33%. These findings suggest that the AI-based quantitative QCVM method offers superior performance, with higher agreement rates and classification accuracy compared to the AI-based qualitative CVM approach, indicating the fully automated QCVM model could give orthodontists a powerful tool to enhance cervical vertebral maturation staging
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