From Class Assignment to Friendship: Enhancing the Intercultural Competence of Domestic and International Students through Experiential Learning

This study explored growth in the intercultural competence of domestic and international students who participated in an intercultural experiential learning initiative for academic credit. The initiative paired Canadian students in a second-year multiculturalism class at Wilfrid Laurier University with international students enrolled in the Laurier English and Academic Foundation (LEAF) program. Qualitative data derived from the oral and written reflections of three cohorts of students inform the study. The data were coded using pre-existing codes derived from learning objectives and reflection questions based on Deardorff’s (2006) Elements of Intercultural Competence Model. The findings suggest that while exposure to different cultural values and practices deepens domestic and international students’ knowledge and challenges their assumptions about each other, creating optimal conditions for meaningful intercultural contact between the students at a university may not adequately reflect everyday contact between them in complex real-life situations

Positron Emission Tomography-Computed Tomography Compared with Invasive Mediastinal Staging in Non-small Cell Lung Cancer: Results of Mediastinal Staging in the Early Lung Positron Emission Tomography Trial

IntroductionPatients with non-small cell lung cancer (NSCLC) require careful preoperative staging to define resectability for potential cure. 18Fluorodeoxyglucose positron emission tomography combined with computed tomography (18FDG PET-CT) is widely used to stage NSCLC. If the mediastinum is positive on PET-CT examination, some practitioners conclude that the patient is inoperable and refer the patient for nonsurgical treatment.MethodsIn this analysis of a previously reported trial comparing PET-CT with conventional imaging in the diagnostic work-up of patients with clinical stage I, II, or IIIA NSCLC, we determined the accuracy of PET-CT in mediastinal staging compared with invasive mediastinal staging either by mediastinoscopy alone or by mediastinoscopy combined with thoracotomy.ResultsAll 149 patients had mediastinal nodal staging at mediastinoscopy alone (14), thoracotomy alone (64), or both (71). The sensitivity of PET-CT was 70% (95% confidence interval [CI], 48–85%), and specificity was 94% (95% CI, 88–97%). Of 22 patients with a PET-CT interpreted as positive for mediastinal nodes, 8 did not have tumor. The positive predictive value and negative predictive value were 64% (95% CI, 43–80%) and 95% (95% CI, 90–98%), respectively. Based on PET-CT alone, eight patients would have been denied potentially curative surgery if the mediastinal abnormalities detected by PET-CT had not been evaluated with an invasive mediastinal procedure.ConclusionsPET-CT assessment of the mediastinum is associated with a clinically relevant false-positive result. Our study confirms the need for pathologic confirmation of mediastinal lymph node abnormalities detected by PET-CT

Unsupervised machine learning predicts future sexual behaviour and sexually transmitted infections among HIV-positive men who have sex with men

Machine learning is increasingly introduced into medical fields, yet there is limited evidence for its benefit over more commonly used statistical methods in epidemiological studies. We introduce an unsupervised machine learning framework for longitudinal features and evaluate it using sexual behaviour data from the last 20 years from over 3'700 participants in the Swiss HIV Cohort Study (SHCS). We use hierarchical clustering to find subgroups of men who have sex with men in the SHCS with similar sexual behaviour up to May 2017, and apply regression to test whether these clusters enhance predictions of sexual behaviour or sexually transmitted diseases (STIs) after May 2017 beyond what can be predicted with conventional parameters. We find that behavioural clusters enhance model performance according to likelihood ratio test, Akaike information criterion and area under the receiver operator characteristic curve for all outcomes studied, and according to Bayesian information criterion for five out of ten outcomes, with particularly good performance for predicting future sexual behaviour and recurrent STIs. We thus assess a methodology that can be used as an alternative means for creating exposure categories from longitudinal data in epidemiological models, and can contribute to the understanding of time-varying risk factors

Unsupervised machine learning predicts future sexual behaviour and sexually transmitted infections among HIV-positive men who have sex with men.

Machine learning is increasingly introduced into medical fields, yet there is limited evidence for its benefit over more commonly used statistical methods in epidemiological studies. We introduce an unsupervised machine learning framework for longitudinal features and evaluate it using sexual behaviour data from the last 20 years from over 3'700 participants in the Swiss HIV Cohort Study (SHCS). We use hierarchical clustering to find subgroups of men who have sex with men in the SHCS with similar sexual behaviour up to May 2017, and apply regression to test whether these clusters enhance predictions of sexual behaviour or sexually transmitted diseases (STIs) after May 2017 beyond what can be predicted with conventional parameters. We find that behavioural clusters enhance model performance according to likelihood ratio test, Akaike information criterion and area under the receiver operator characteristic curve for all outcomes studied, and according to Bayesian information criterion for five out of ten outcomes, with particularly good performance for predicting future sexual behaviour and recurrent STIs. We thus assess a methodology that can be used as an alternative means for creating exposure categories from longitudinal data in epidemiological models, and can contribute to the understanding of time-varying risk factors

Territorios Comunes Investigación en colabor: una apuesta por construir en conjunto en Bogotá.

Territorios Comunes. Investigación en colabor: una apuesta por construir en conjunto en Bogotá, nos enseña que son nuestros cuerpos los primeros territorios que debemos defender y de ahí surgen nuevas preguntas de indagación acerca de qué entendemos por el territorio y cómo nos tejemos a él desde abajo. Aquí se evidencian los pequeños brotes de ese inmenso 99% que nos convocan a un n: imaginar y construir otros mundos posibles que digni quen la vida, los buenos vivires y que nos permitan seguir caminando la palabra. Este documento no es solamente un proceso de sistematización o un documento de archivo es el rescate de la memoria colectiva y de los sentipensares de mujeres y hombres quienes dialogan en clave intergeneracional y de re-existencia, pero sin caer en esencialismos. Ésta es también una profunda re exión de varios años en la que los protagonistas nos hablan abiertamente desde el corazón acerca de las di cultades y los límites para llevar a cabo estas apuestas por defender a nuestra Madre Tierra

Territorios Comunes Investigación en colabor: una apuesta por construir en conjunto en Bogotá.

Territorios Comunes. Investigación en colabor: una apuesta por construir en conjunto en Bogotá, nos enseña que son nuestros cuerpos los primeros territorios que debemos defender y de ahí surgen nuevas preguntas de indagación acerca de qué entendemos por el territorio y cómo nos tejemos a él desde abajo. Aquí se evidencian los pequeños brotes de ese inmenso 99% que nos convocan a un n: imaginar y construir otros mundos posibles que digni quen la vida, los buenos vivires y que nos permitan seguir caminando la palabra. Este documento no es solamente un proceso de sistematización o un documento de archivo es el rescate de la memoria colectiva y de los sentipensares de mujeres y hombres quienes dialogan en clave intergeneracional y de re-existencia, pero sin caer en esencialismos. Ésta es también una profunda re exión de varios años en la que los protagonistas nos hablan abiertamente desde el corazón acerca de las di cultades y los límites para llevar a cabo estas apuestas por defender a nuestra Madre Tierra

Implicit and explicit pedagogical practices related to sociocultural issues and social justice in physical education teacher education programs

Background: For many years, scholars in PETE have argued for the importance of educating pre-service teachers (PSTs) about equality (e.g., Evans 1990), sociocultural perspectives and issues (e.g., Cliff, Wright and Clarke, 2009; Author 2014) and critical pedagogy (e.g., Fernandez-Balboa 1997; Philpot 2015). Despite this advocacy, we would argue that there are significant differences in how faculty teach about sociocultural issues, and for, social justice. The pedagogical actions through which Physical Education Teacher Educators (PETEs) do this work is the focus of this paper. Purpose: We investigated the pedagogical approaches and strategies used by PETE faculty to address and educate PSTs about social justice and sociocultural issues related to gender, race, sexuality, (dis)ability, socioeconomic status and religion in their individual PETE programs. In this study, we draw on transformational pedagogy (Ukpokodu 2009; Ovens 2017) as a framework for theorizing the data. Through this study, we highlight the pedagogical practices espoused as those that engender transformative learning. Data collection and analysis: Data for this interpretive qualitative research study was collected primarily through in-depth semi-structured interviews with over 70 PETEs who work in 48 PETE programs across Australia, Canada, England, Ireland New Zealand, Sweden, and the United States. Furthermore, an informational survey was used to gather demographic data of the participants. The participants, all current PETEs, had a wide range of professional experiences, which included the length of time in the profession, the type of institution employed, educational backgrounds and courses taught. Data analysis was completed using the processes of content analysis and the constant comparative method (Corbin and Strauss 2008). Findings: Three major themes represent the findings. In the first theme, ‘Intentional and Explicit Pedagogies’ we provide descriptions of the approaches and strategies used by PETEs in this study that were planned in advance of the learning experiences. In the second theme, ‘Teachable Moments’ we provide examples of how PETEs utilized ‘teachable moments’ in implicit and explicit ways to educate PSTs about sociocultural issues. The third theme, ‘Resistance and Constraints’ captures the individual challenges PETE faculty faced within their courses if, and when, they teach for equity and social justice. The findings suggest that social justice struggles to find an explicit presence within many PETE programs and that educating PSTs about sociocultural issues and social justice is lacking in many PETE programs

The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the extended Baryon Oscillation Spectroscopic Survey and from the second phase of the Apache Point Observatory Galactic Evolution Experiment

The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) has been in operation since July 2014. This paper describes the second data release from this phase, and the fourteenth from SDSS overall (making this, Data Release Fourteen or DR14). This release makes public data taken by SDSS-IV in its first two years of operation (July 2014-2016). Like all previous SDSS releases, DR14 is cumulative, including the most recent reductions and calibrations of all data taken by SDSS since the first phase began operations in 2000. New in DR14 is the first public release of data from the extended Baryon Oscillation Spectroscopic Survey (eBOSS); the first data from the second phase of the Apache Point Observatory (APO) Galactic Evolution Experiment (APOGEE-2), including stellar parameter estimates from an innovative data driven machine learning algorithm known as "The Cannon"; and almost twice as many data cubes from the Mapping Nearby Galaxies at APO (MaNGA) survey as were in the previous release (N = 2812 in total). This paper describes the location and format of the publicly available data from SDSS-IV surveys. We provide references to the important technical papers describing how these data have been taken (both targeting and observation details) and processed for scientific use. The SDSS website (www.sdss.org) has been updated for this release, and provides links to data downloads, as well as tutorials and examples of data use. SDSS-IV is planning to continue to collect astronomical data until 2020, and will be followed by SDSS-V.Comment: SDSS-IV collaboration alphabetical author data release paper. DR14 happened on 31st July 2017. 19 pages, 5 figures. Accepted by ApJS on 28th Nov 2017 (this is the "post-print" and "post-proofs" version; minor corrections only from v1, and most of errors found in proofs corrected

Conditions for the Evolution of Gene Clusters in Bacterial Genomes

Genes encoding proteins in a common pathway are often found near each other along bacterial chromosomes. Several explanations have been proposed to account for the evolution of these structures. For instance, natural selection may directly favour gene clusters through a variety of mechanisms, such as increased efficiency of coregulation. An alternative and controversial hypothesis is the selfish operon model, which asserts that clustered arrangements of genes are more easily transferred to other species, thus improving the prospects for survival of the cluster. According to another hypothesis (the persistence model), genes that are in close proximity are less likely to be disrupted by deletions. Here we develop computational models to study the conditions under which gene clusters can evolve and persist. First, we examine the selfish operon model by re-implementing the simulation and running it under a wide range of conditions. Second, we introduce and study a Moran process in which there is natural selection for gene clustering and rearrangement occurs by genome inversion events. Finally, we develop and study a model that includes selection and inversion, which tracks the occurrence and fixation of rearrangements. Surprisingly, gene clusters fail to evolve under a wide range of conditions. Factors that promote the evolution of gene clusters include a low number of genes in the pathway, a high population size, and in the case of the selfish operon model, a high horizontal transfer rate. The computational analysis here has shown that the evolution of gene clusters can occur under both direct and indirect selection as long as certain conditions hold. Under these conditions the selfish operon model is still viable as an explanation for the evolution of gene clusters