Connecting orchestral conductors' interpretational intentions to conducting movement kinematics: a mixed-methods approach using Deviation Point Analysis

During orchestral performance, conductors play a role in which they provide their interpretations of the musical composition, communicating these interpretational intentions via their body movement. Pedagogical sources propose movement emblems for stock actions by which a conductor may deliver compositional and interpretational features in conducting practise. This thesis reports a mixed-methods study which provides empirical observations on the kinematic features evident in conducting practise, and which aims to explore the connection between such movements with compositional features and conductors’ interpretative intentions. Six conductors’ interpretational intentions were collected in interviews, and their conducting movements were recorded using a Qualisys motion capture system, while they worked on excerpts of repertoire by Mozart, Dvořák, and Bartók with a small string ensemble. In the interviews, conductors reported their general thoughts and beliefs about conducting. They were also prompted to identify the compositional events which they sought to highlight in their conducting, and to describe the conducting strategies they intended to use to highlight these musical events. The resulting qualitative data were thematically analysed. The conductor-identified compositional features were also used to guide kinematic investigations, using an innovative analysis method original to this project, Deviation Point Analysis (DPA). Conductors’ movements are described using four dependent variables of baton tip (movement distance, speed, acceleration, and jerk). Results are reported for two-way repeated measures ANOVAs (repertoire x trial), and for t-tests revealing significant differences between cross-correlation coefficients for within-conductor trial pairs and between-conductor trial pairs. Further examination of the data using DPA serves to distinguish time-points with observable kinematic deviations from the conducting trials. These kinematic deviations were compared with conductors’ stated intentions. Prominent clusters of kinematic deviations were seen to be associated with key musical events which conductors intended to emphasize temporal, melodic, dynamic, and instrumental aspects. Minor clusters of kinematic deviations were seen to be connected with interpretational intentions in a less stable manner, some occurring remotely from the conductor-identified locations. DPA method and findings are fully reported. The implications, advantages and limitations of this novel analysis approach are also discussed

MPFEM Modeling on the Compaction of Al/SiC Composite Powders with Core/Shell Structure

Uniaxial die compaction of two-dimensional (2D) Al/SiC core/shell (core: SiC; shell: Al) composite powders with different initial packing structures was numerically reproduced using DEM-FEM coupled MPFEM modeling from particulate scale. The effects of external pressure, initial packing structure, and SiC content on the packing densification were systematically presented. Various macro and micro properties such as relative density and distribution, stress and distribution, particle rearrangement (e.g. sliding and rolling), deformation and mass transfer, and interfacial behavior within composite particles were characterized and analyzed. The results show that by properly controlling the initial packing structure, pressure, and SiC content, various anisotropic and isotropic Al/SiC particulate composites with high relative densities and uniform density/stress distributions can be obtained. At early stage of the compaction, the densification mechanism mainly lies in the particle rearrangement driven by the low interparticle forces. In addition to sliding, accompanied particle rolling also plays an important role. With the increase of the compaction pressure, the force network based on SiC cores leads to extrusion on Al shells between two cores, contributing to mass transfer and pore filling. During compaction, the debonding between the core and shell of each composite particle appears and then disappears gradually in the final compact

MeInfoText: associated gene methylation and cancer information from text mining

<p>Abstract</p> <p>Background</p> <p>DNA methylation is an important epigenetic modification of the genome. Abnormal DNA methylation may result in silencing of tumor suppressor genes and is common in a variety of human cancer cells. As more epigenetics research is published electronically, it is desirable to extract relevant information from biological literature. To facilitate epigenetics research, we have developed a database called MeInfoText to provide gene methylation information from text mining.</p> <p>Description</p> <p>MeInfoText presents comprehensive association information about gene methylation and cancer, the profile of gene methylation among human cancer types and the gene methylation profile of a specific cancer type, based on association mining from large amounts of literature. In addition, MeInfoText offers integrated protein-protein interaction and biological pathway information collected from the Internet. MeInfoText also provides pathway cluster information regarding to a set of genes which may contribute the development of cancer due to aberrant methylation. The extracted evidence with highlighted keywords and the gene names identified from each methylation-related abstract is also retrieved. The database is now available at <url>http://mit.lifescience.ntu.edu.tw/</url>.</p> <p>Conclusion</p> <p>MeInfoText is a unique database that provides comprehensive gene methylation and cancer association information. It will complement existing DNA methylation information and will be useful in epigenetics research and the prevention of cancer.</p

Inferring drug-disease associations from integration of chemical, genomic and phenotype data using network propagation

BACKGROUND: During the last few years, the knowledge of drug, disease phenotype and protein has been rapidly accumulated and more and more scientists have been drawn the attention to inferring drug-disease associations by computational method. Development of an integrated approach for systematic discovering drug-disease associations by those informational data is an important issue. METHODS: We combine three different networks of drug, genomic and disease phenotype and assign the weights to the edges from available experimental data and knowledge. Given a specific disease, we use our network propagation approach to infer the drug-disease associations. RESULTS: We apply prostate cancer and colorectal cancer as our test data. We use the manually curated drug-disease associations from comparative toxicogenomics database to be our benchmark. The ranked results show that our proposed method obtains higher specificity and sensitivity and clearly outperforms previous methods. Our result also show that our method with off-targets information gets higher performance than that with only primary drug targets in both test data. CONCLUSIONS: We clearly demonstrate the feasibility and benefits of using network-based analyses of chemical, genomic and phenotype data to reveal drug-disease associations. The potential associations inferred by our method provide new perspectives for toxicogenomics and drug reposition evaluation

Social Capital and Technological Literacy in Taiwan

The burgeoning interest in social capital within the technology community represents a welcome move towards a concern for the social elements of technological adaptation and capacity. Since technology plays an ever larger role in our daily life, it is necessary to articulate social capital and its relationship to technological literacy. A nationwide data was collected by area sampling, and position generator was used to measure social capital. Regression model was constructed for technological literacy. Age, gender, education, income, web access, and social capital were included as independent variables. The results show that age, gender, education, web access, and social capital were good predictors of technological literacy. It is concluded that social capital is helpful in coping with rapid technological change. Theoretical and empirical implications and future research are discussed

Malignant phyllodes tumors display mesenchymal stem cell features and aldehyde dehydrogenase/disialoganglioside identify their tumor stem cells.

IntroductionAlthough breast phyllodes tumors are rare, there is no effective therapy other than surgery. Little is known about their tumor biology. A malignant phyllodes tumor contains heterologous stromal elements, and can transform into rhabdomyosarcoma, liposarcoma and osteosarcoma. These versatile properties prompted us to explore their possible relationship to mesenchymal stem cells (MSCs) and to search for the presence of cancer stem cells (CSCs) in phyllodes tumors.MethodsParaffin sections of malignant phyllodes tumors were examined for various markers by immunohistochemical staining. Xenografts of human primary phyllodes tumors were established by injecting freshly isolated tumor cells into the mammary fat pad of non-obese diabetic-severe combined immunodeficient (NOD-SCID) mice. To search for CSCs, xenografted tumor cells were sorted into various subpopulations by flow cytometry and examined for their in vitro mammosphere forming capacity, in vivo tumorigenicity in NOD-SCID mice and their ability to undergo differentiation.ResultsImmunohistochemical analysis revealed the expression of the following 10 markers: CD44, CD29, CD106, CD166, CD105, CD90, disialoganglioside (GD2), CD117, Aldehyde dehydrogenase 1 (ALDH), and Oct-4, and 7 clinically relevant markers (CD10, CD34, p53, p63, Ki-67, Bcl-2, vimentin, and Globo H) in all 51 malignant phyllodes tumors examined, albeit to different extents. Four xenografts were successfully established from human primary phyllodes tumors. In vitro, ALDH+ cells sorted from xenografts displayed approximately 10-fold greater mammosphere-forming capacity than ALDH- cells. GD2+ cells showed a 3.9-fold greater capacity than GD2- cells. ALDH+/GD2+cells displayed 12.8-fold greater mammosphere forming ability than ALDH-/GD2- cells. In vivo, the tumor-initiating frequency of ALDH+/GD2+ cells were up to 33-fold higher than that of ALDH+ cells, with as few as 50 ALDH+/GD2+ cells being sufficient for engraftment. Moreover, we provided the first evidence for the induction of ALDH+/GD2+ cells to differentiate into neural cells of various lineages, along with the observation of neural differentiation in clinical specimens and xenografts of malignant phyllodes tumors. ALDH+ or ALDH+/GD2+ cells could also be induced to differentiate into adipocytes, osteocytes or chondrocytes.ConclusionsOur findings revealed that malignant phyllodes tumors possessed many characteristics of MSC, and their CSCs were enriched in ALDH+ and ALDH+/GD2+ subpopulations

The Relationship Between Information Transparency And The Informativeness Of Accounting Earnings

The issue of corporate governance has prompted calls for greater transparency and disclosure on companies around the world. As a result, a disclosure ranking system, Information Transparency and Disclosure Ranking System (ITDRS) was launched in Taiwan since 2003 by the request of Taiwan Stock Exchange Corporation (TSEC). This paper examines the relationship between information transparency and the informativeness of accounting earnings. The empirical tests are conducted using TEJ database for firms listed on the Taiwan Stock Exchange with fiscal year ends between 2003 and 2004. Empirical results indicate that, information transparency, measured by the ranking of ITDRS, reduces the informativeness of accounting earnings. However, if information transparency is measured by the ratio of long-term investment in stocks, evidences show higher earnings response coefficients (ERC) for the more transparent firms. The results suggest that accounting numbers are more useful or valuable than the ITDRS ranking results from investors&rsquo; perspective. It also suggests that the ITDRS may be not a good proxy for financial transparency

Foam Properties and Detergent Abilities of the Saponins from Camellia oleifera

The defatted seed meal of Camellia oleifera has been used as a natural detergent and its extract is commercially utilized as a foam-stabilizing and emulsifying agent. The goal of this study was to investigate the foam properties and detergent ability of the saponins from the defatted seed meal of C. oleifera. The crude saponin content in the defatted seed meal of C. oleifera was 8.34 and the total saponins content in the crude saponins extract was 39.5% (w/w). The foaming power of the 0.5 crude saponins extract solution from defatted seed meal of C. oleifera was 37.1 of 0.5 SLS solution and 51.3% to that of 0.5% Tween 80 solution. The R5 value of 86.0% represents good foam stability of the crude saponins extracted from the defatted seed meal of the plant. With the reduction of water surface tension from 72 mN/m to 50.0 mN/m, the 0.5% crude saponins extract solution has wetting ability. The sebum-removal experiment indicated that the crude saponins extract has moderate detergency. The detergent abilities of the saponins from C. oleifera and Sapindus mukorossi were also compared