In situ monitoring and mechanism of the mechanochemical formation of a microporous MOF-74 framework

Mechanochemistry provides a rapid, efficient route to metal-organic framework Zn-MOF-74 directly from a metal oxide and without bulk solvent. In situ synchrotron X-ray diffraction monitoring of the reaction course reveals two new phases and an unusual step-wise process in which a close-packed intermediate reacts to form the open framework. The reaction can be performed on a gram scale to yield a highly porous material after activation

The big mush: psychometric measures are confounded and non-independent in their association with age at initial diagnosis of Ischaemic Coronary Heart Disease

The present study uses early diagnosis of ischaemic coronary heart disease (ICHD) as a proxy for disease malignancy in testing the statistical strength of association, and uniqueness/confounding, of several psychometric scales that have previously been found to prospectively predict death in cardiac samples (Beck Depression Inventory, Crown¿Crisp Phobic Anxiety Scale, Type D Scale & Ketterer Stress Symptom Frequency Checklist). Eighty-three patients (no. of females = 35) with documented ICHD were assessed for traditional and psychometric risk factors. The psychometric risk factors were moderately to strongly intercorrelated, and strongly confounded in their relationship to age at initial diagnosis. In a stepwise multiple regression, only the AIAI (aggravation, irritation, anger and impatience) scale of the Ketterer Stress Symptom Frequency Checklist (KSSFC) survived as a predictor of age at initial diagnosis (P = 0.016). In a subgroup of the sample for whom the Spouse/Friend Version of the KSSFC was received (n = 58, or 70%), spouse/friend reported AIAI survived as the only predictor (P = 0.010). While present results need replication in a prospective study of diagnosed ICHD patients for all important clinical outcomes, only one psychometric screening instrument may be necessary to identify patients in need of treatment

Green and rapid mechanosynthesis of high-porosity NU- and UiO-type metal-organic frameworks

The use of a dodecanuclear zirconium acetate cluster as a precursor enables the rapid, clean mechanochemical synthesis of high-microporosity metal-organic frameworks NU-901 and UiO-67, with surface areas up to 2250 m2 g-1. Real-time X-ray diffraction monitoring reveals that mechanochemical reactions involving the conventional hexanuclear zirconium methacrylate precursor are hindered by the formation of an inert intermediate, which does not appear when using the dodecanuclear acetate cluster as a reactant. © 2018 The Royal Society of Chemistry

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press