Hinting at primary composition using asymmetries in time distributions

Evidence of azimuthal asymmetries in the time structure and signal size have been found in non-vertical showers at the Pierre Auger Observatory. It has been previously shown that the asymmetry in time distributions offers a new possibility for the determination of the mass composition. New studies have demonstrated that the dependence of the asymmetry parameter in the rise-time and fall-time distributions with sec(theta) shows a clear peak. Both, the position of the peak, X_asymax, and the size of the asymmetry at X_asymax are sensitive to primary mass composition and have a small dependence on energy. In this paper a study of the discriminating power of the new observables to separate primary species is presented.Comment: To be published in the Proceedings of 29th International Cosmic Ray Conference (ICRC 2005), Pune, India, August 3-10, 200

Student-Centered Pedagogies in the Singapore Music Classroom: A Case Study on Collaborative Composition

This article responds to recent calls for situated examples of student-centered education. Our goal is to illustrate what student-centered pedagogies may look like in the music education classroom, particularly in the context of collaborative composition activities. The sample case presented features a Primary 5 Singaporean music teacher implementing a collaborative composition lesson on Gamelan Beleganjur, a traditional music style from Bali (Indonesia). After describing the structure of the lesson, we analyze data from teacher interviews, classroom interactions (illustrated with pictures), and transcriptions of students’ compositions. We argue that the content and design of the lesson itself, as well as the teacher’s genuine interest in exploring students’ musical ideas and fostering collaboration and creativity, led to the enactment of student-centricity. Our ultimate aim is to provide an additional resource that might inspire music educators (both specialists and generalists) in embracing student-centered education in their classrooms

Harnessing gene expression to identify the genetic basis of drug resistance

The advent of cost-effective genotyping and sequencing methods have recently made it possible to ask questions that address the genetic basis of phenotypic diversity and how natural variants interact with the environment. We developed Camelot (CAusal Modelling with Expression Linkage for cOmplex Traits), a statistical method that integrates genotype, gene expression and phenotype data to automatically build models that both predict complex quantitative phenotypes and identify genes that actively influence these traits. Camelot integrates genotype and gene expression data, both generated under a reference condition, to predict the response to entirely different conditions. We systematically applied our algorithm to data generated from a collection of yeast segregants, using genotype and gene expression data generated under drug-free conditions to predict the response to 94 drugs and experimentally confirmed 14 novel gene–drug interactions. Our approach is robust, applicable to other phenotypes and species, and has potential for applications in personalized medicine, for example, in predicting how an individual will respond to a previously unseen drug

Evaluating Trustworthiness of AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST)

The Multisource AI Scorecard Table (MAST) is a checklist tool based on analytic tradecraft standards to inform the design and evaluation of trustworthy AI systems. In this study, we evaluate whether MAST is associated with people's trust perceptions in AI-enabled decision support systems (AI-DSSs). Evaluating trust in AI-DSSs poses challenges to researchers and practitioners. These challenges include identifying the components, capabilities, and potential of these systems, many of which are based on the complex deep learning algorithms that drive DSS performance and preclude complete manual inspection. We developed two interactive, AI-DSS test environments using the MAST criteria. One emulated an identity verification task in security screening, and another emulated a text summarization system to aid in an investigative reporting task. Each test environment had one version designed to match low-MAST ratings, and another designed to match high-MAST ratings, with the hypothesis that MAST ratings would be positively related to the trust ratings of these systems. A total of 177 subject matter experts were recruited to interact with and evaluate these systems. Results generally show higher MAST ratings for the high-MAST conditions compared to the low-MAST groups, and that measures of trust perception are highly correlated with the MAST ratings. We conclude that MAST can be a useful tool for designing and evaluating systems that will engender high trust perceptions, including AI-DSS that may be used to support visual screening and text summarization tasks. However, higher MAST ratings may not translate to higher joint performance

Eficacia y seguridad del tratamiento con lenalidomida y dexametasona en pacientes con mieloma múltiple no candidatos a trasplante en recaída

PO-019 Introducción: En la actualidad existe una amplia diversidad de tratamientos en pacientes con Mieloma Múltiple (MM) refractarios a tratamiento en primera línea y no candidatos a trasplante de progenitores hematopoyéticos. El tratamiento de estos pacientes con lenalidomida y dexametasona ha sido una de las opciones terapeúticas más utilizadas en los últimos años. El objetivo de este estudio es evaluar la eficacia y tolerabilidad de este tratamiento en un centro hospitalario de tercer nivel. Material Y Métodos: Estudio descriptivo, observacional y retrospectivo en el que se incluyeron todos los pacientes no candidatos a TPH que iniciaron un esquema con lenalidomida entre Enero 2012 a Marzo 2019 y además recibieron al menos una línea previa de quimioterapia. Fuentes: historia clínica electrónica, registro de dispensación de pacientes ambulatorios y externos (FarmaTools) del Servicio de Farmacia. Resultados: En total 22 pacientes (50% mujeres) fueron incluidos en el estudio. La mediana de numero de líneas que recibieron previamente fue de 1(rango entre 1-2). 17 pacientes (77%) recibieron RD como 2º línea y para 5 pacientes (33%) fue la 3ª línea. Como tratamiento en 1ª línea, solo 1 paciente recibió tratamiento con QT convencional (VAD), ..