From Particularities to Context: Refining Our Thinking on Illness Narratives.

This paper examines how illness narratives are used in medical education and their implications for clinicians' thinking and care of patients. Ideally, collecting and reading illness narratives can enhance clinicians' sensitivity and contextual thinking. And yet these narratives have become part of institutionalizing cultural competency requirements in ways that tend to favor standardization. Stereotyping and reductionistic thinking can result from these pedagogic approaches and obscure structural inequities. We end by asking how we might best teach and read illness narratives to fulfill the ethical obligations of listening and asking more informative clinical interview questions that can better meet the needs of patients and the community

Eco-hydrology of dynamic wetlands in an Australian agricultural landscape: a whole of system approach for understanding climate change impacts

Increasing rates of water extraction and regulation of hydrologic processes, coupled with destruction of natural vegetation, pollution and climate change, are jeopardizing the future persistence of wetlands and the ecological and socio-economic functions they support. Globally, it is estimated that 50% of wetlands have been lost since the 1900’s, with agricultural changes being the main cause. In some agricultural areas of Australia, losses as high as 98% have occurred. Wetlands remaining in agricultural landscapes suffer degradation and their resilience and ability to continue functioning under hydrologic and land use changes resulting from climate change may be significantly inhibited. However, information on floodplain wetlands is sparse and knowledge of how ecological functioning and resilience may change under future land use intensification and climate change is lacking in many landscapes. These knowledge gaps pose significant problems for the future sustainable management of biodiversity and agricultural activities which rely on the important services supplied by wetland ecosystems. This research evaluates the impact that hydrology and land use has on the perennial vegetation associated with wetlands in an agricultural landscape, the Condamine Catchment of southeast Queensland, Australia. A geographical information system (GIS) was used to measure hydrological and land use variables and a bayesian modeling averaging approach was used to generate generalised linear models for vegetation response variables. Connectivity with the river and hydrological variability had consistently significant positive relationships with vegetation cover and abundance. Land use practices such as, irrigated agriculture and grazing had consistently significant negative impacts. Consequently, to understand how climate change will impact on the ecohydrological functioning of wetlands, both hydrological and land use changes need to be considered. Results from this research will now be used to investigate how resilient these systems will be to different potential scenarios of climate change

The Effect of Children on Specialization and Coordination of Partners' Activities

This paper first documents the extent of the specialization in time use in couple families, and the impact of children on this specialization. It then examines the links between the time allocations of partners in couple families, the impact of children on these links, and the effects these factors have on specialization in time use. Children are shown to intensify the specialization in time use in couple families through reducing the apparent complementarity in time allocations of their parents.coordination, gender, time allocations, specialisation

Development of a Faculty Learning Community to support Scholarship and Feedback

In an effort to explore the ideas of Scholarship of Learning and Teaching, and to comply with Glasgow’s University’s career development programme, a small group of academics from the College of Medicine, Veterinary and Life Sciences established a Learning Community. The LC has several aims: • To create and design a Learning Community to support scholarship and progression for lecturers on learning & teaching track • To understand how a Learning Community can be used to support staff on career development pathways • To empower participants to engage in the University’s career development programme through peer support and peer mentorship within the Learning Community • provide practical support for scholarship projects (it is hoped that all members will be supported to drive their scholarship ‘from idea to manuscript’) It is hoped that through the sharing of ideas, and collaboration between schools, the LC hope to publish and disseminate scholarship, and provide a series of recommendations regarding scholarship support. Planned scholarship outputs include papers in educational journals, conference abstracts and presentations, and a significant ambition to influence policy within the university regarding scholarship and career development

Combler le « vide institutionnel » : Le comportement social et les performances des entreprises familiales comparés à ceux des autres entreprises des marchés émergents dans le secteur des hautes technologies.

Les entreprises familiales (EF) sont réputées prendre un soin particulier de leurs employés, avec l’objectif de créer une « communauté » interne très soudée. Leurs relations et contacts avec leurs partenaires extérieurs seraient aussi plus approfondis et personnels. Ces deux attitudes favoriseraient la viabilité d’une entreprise qui doit faire vivre la famille propriétaire, ainsi que les générations suivantes. Ces liens sociaux nous paraissent pouvoir compenser le manque de capital, de produits et d’infrastructure propre aux économies émergentes dynamiques. Cette étude, menée dans un secteur très compétitif de marché émergent, les entreprises de haute technologie en Corée, examine trois points majeurs :(1) Les relations internes et les liens avec l’extérieur sont plus développés dans les EF que dans les autres. (2) Ces relations améliorent la performance des secteurs de haute technologie dans les marchés émergents, pour lesquels il est indispensable, du fait de leur nature compétitive complexe et évolutive, de disposer d’une expertise pointue et d’un capital social à l’intérieur comme à l’extérieur de l’entreprise. (3) Les performances des EF sont plus dépendantes de ces relations communautaires et de ces liens avec l’extérieur que celles des autres entreprises, parce que dans ce cadre personnel et intime, les employés et les partenaires extérieurs ont généralement tendance à récompenser la générosité, ou au contraire à punir l’égoïsme, d’une famille propriétaire qu’ils voient à l’oeuvre de leurs propres yeux. Nos observations empiriques confirment la plupart de ces hypothèses de façon significative.We argue that family businesses (FBs) will tend to treat their employees with unusual consideration to form a cohesive internal “community”. They are also expected to develop deeper, more extensive “connections” or relationships with outside stakeholders. Both behaviors should increase the viability of a business intended to support an owning family and its later generations. Such social linkages, we believe, may compensate for the lack of capital, product and labor institutional infrastructures in dynamic emerging economies. This survey study of a most challenging emerging market sector, namely, Korean high technology businesses, largely supports these expectations

Modeling reactivity to biological macromolecules with a deep multitask network

Most small-molecule drug candidates fail before entering the market, frequently because of unexpected toxicity. Often, toxicity is detected only late in drug development, because many types of toxicities, especially idiosyncratic adverse drug reactions (IADRs), are particularly hard to predict and detect. Moreover, drug-induced liver injury (DILI) is the most frequent reason drugs are withdrawn from the market and causes 50% of acute liver failure cases in the United States. A common mechanism often underlies many types of drug toxicities, including both DILI and IADRs. Drugs are bioactivated by drug-metabolizing enzymes into reactive metabolites, which then conjugate to sites in proteins or DNA to form adducts. DNA adducts are often mutagenic and may alter the reading and copying of genes and their regulatory elements, causing gene dysregulation and even triggering cancer. Similarly, protein adducts can disrupt their normal biological functions and induce harmful immune responses. Unfortunately, reactive metabolites are not reliably detected by experiments, and it is also expensive to test drug candidates for potential to form DNA or protein adducts during the early stages of drug development. In contrast, computational methods have the potential to quickly screen for covalent binding potential, thereby flagging problematic molecules and reducing the total number of necessary experiments. Here, we train a deep convolution neural networkthe XenoSite reactivity modelusing literature data to accurately predict both sites and probability of reactivity for molecules with glutathione, cyanide, protein, and DNA. On the site level, cross-validated predictions had area under the curve (AUC) performances of 89.8% for DNA and 94.4% for protein. Furthermore, the model separated molecules electrophilically reactive with DNA and protein from nonreactive molecules with cross-validated AUC performances of 78.7% and 79.8%, respectively. On both the site- and molecule-level, the model’s performances significantly outperformed reactivity indices derived from quantum simulations that are reported in the literature. Moreover, we developed and applied a selectivity score to assess preferential reactions with the macromolecules as opposed to the common screening traps. For the entire data set of 2803 molecules, this approach yielded totals of 257 (9.2%) and 227 (8.1%) molecules predicted to be reactive only with DNA and protein, respectively, and hence those that would be missed by standard reactivity screening experiments. Site of reactivity data is an underutilized resource that can be used to not only predict if molecules are reactive, but also show where they might be modified to reduce toxicity while retaining efficacy. The XenoSite reactivity model is available at http://swami.wustl.edu/xenosite/p/reactivity

The Immigrant-Native Born Earnings Gap in the US: a Quantile Regression Analysis and International Comparison

Immigrants, Earnings Distributions, Rates of Return, Quantile Regression

Brainstem metastases treated with Gamma Knife stereotactic radiosurgery: the Indiana University Health experience

Brainstem metastases offer a unique challenge in cancer treatment, yet stereotactic radiosurgery (SRS) has proven to be an effective modality in treating these tumors. This report discusses the clinical outcomes of patients with brainstem metastases treated at Indiana University with Gamma Knife (GK) radiosurgery from 2008 to 2016. 19 brainstem metastases from 14 patients who had follow-up brain imaging were identified. Median tumor volume was 0.04 cc (range: 0.01-2.0 cc). Median prescribed dose was 17.5 Gy to the 50% isodose line (range: 14-22 Gy). Median survival after GK SRS treatment to brainstem lesion was 17.2 months (range: 2.8-45.6 months). The experience at Indiana University confirms the safety and efficacy of range of GK SRS prescription doses (14-22 Gy) to brainstem metastases

Classical and MgII-selected Damped Lyman-alpha Absorbers: impact on Omega_HI at z<1.7

The Damped Lyman-alpha systems (DLAs), seen in absorption in the spectrum of quasars, are believed to contain a large fraction of the neutral gas in the Universe. Paradoxically, these systems are more difficult to observe at z_abs<1.7, since they are rare and their HI feature then falls in UV spectra. Rao & Turnshek (2000) pioneered a method based on MgII-selected DLAs, that is absorbers discovered thanks to our knowledge of their MgII feature in optical spectra. We use new observations undertaken at the TNG as well as a careful literature & archival search to build samples of low redshift absorbers classified according to the technique used for their discovery. We successfully recover N(HI) and equivalent widths of FeII 2600, MgII 2796, MgII 2803 and MgII 2852 for a sample of 36 absorbers, 21 of which are MgII-selected. We find that the MgII-selected sample contains a marginally larger fraction of absorbers with log N(HI)>21.0 than seen otherwise at low redshift. If confirmed, this property will in turn affect estimates of Omega_HI which is dominated by the highest HI column densities. We find that log N(HI) does not correlate significantly with metal equivalent widths. Similarly, we find no evidence that gravitational lensing, the fraction of associated systems or redshift evolution affect the absorber samples in a different way. We conclude that the hint of discrepancies in N(HI) distributions most likely arises from small number statistics. Therefore, further observations are required to better clarify the impact of this discrepancy on estimates of Omega_HI at low redshift.Comment: 13 pages, 8 figures. Accepted for publication in MNRA