Miracle-dz/UniFAR-FTUs huggingface dataset:
Rhabdomyolysis Associated with Influenza A Virus Infection

Influenza A associated with rhabdomyolysis has become more commonly recognized in recent years. It requires prompt recognition and treatment in order to prevent heme pigment-induced acute kidney injury. Here we report a 50-year-old female without a significant past medical history who presented with a one-week history of fevers, chills, fatigue, and generalized body aches. She was on no prior medication. Laboratory studies were significant for leukocytosis and elevated creatinine kinase up to a peak of 28,216 IU/L. Rapid influenza antigen testing was positive for influenza A virus. The patient was diagnosed with influenza A-induced rhabdomyolysis. According to our literature review, we are the first to report a case of influenza A-induced rhabdomyolysis in the 2017-2018 flu season. This case highlights the importance of considering rhabdomyolysis as a manifestation of an influenza infection.
Farewell Freebase: Migrating the SimpleQuestions Dataset to DBpedia

Question answering over knowledge graphs is an important problem of interest both commercially and academically. There is substantial interest in the class of natural language questions that can be answered via the lookup of a single fact, driven by the availability of the popular SimpleQuestions dataset. The problem with this dataset, however, is that answer triples are provided from Freebase, which has been defunct for several years. As a result, it is difficult to build “real-world” question answering systems that are operationally deployable. Furthermore, a defunct knowledge graph means that much of the infrastructure for querying, browsing, and manipulating triples no longer exists. To address this problem, we present SimpleDBpediaQA, a new benchmark dataset for simple question answering over knowledge graphs that was created by mapping SimpleQuestions entities and predicates from Freebase to DBpedia. Although this mapping is conceptually straightforward, there are a number of nuances that make the task non-trivial, owing to the different conceptual organizations of the two knowledge graphs. To lay the foundation for future research using this dataset, we leverage recent work to provide simple yet strong baselines with and without neural networks.
Towards a Language for Natural Language Treebank Transductions

This paper describes a transduction language suitable for natural language treebank transformations and motivates its application to tasks that have been used and described in the literature. The language, which is the basis for a tree transduction tool allows for clean, precise and concise description of what has been very confusingly, ambiguously, and incompletely textually described in the literature also allowing easy non-hard-coded implementation. We also aim at getting feedback from the NLP community to eventually converge to a de facto standard for such transduction language.
Stratification of the risk of bipolar disorder recurrences in pregnancy and postpartum

Background Pregnancy and childbirth are a period of high risk for women with bipolar disorder and involve difficult decisions particularly about continuing or stopping medications. Aims To explore what clinical predictors may help to individualise the risk of perinatal recurrence in women with bipolar disorder. Method Information was gathered retrospectively by semi-structured interview, questionnaires and case-note review from 887 women with bipolar disorder who have had children. Clinical predictors were selected using backwards stepwise logistic regression, conditional permutation random forests and reinforcement learning trees. Results Previous perinatal history of affective psychosis or depression was the most significant predictor of a perinatal recurrence (odds ratio (OR) = 8.5, 95% CI 5.04–14.82 and OR = 3.6, 95% CI 2.55–5.07 respectively) but even parous women with bipolar disorder without a previous perinatal mood episode were at risk following a subsequent pregnancy, with 7% developing postpartum psychosis. Conclusions Previous perinatal history of affective psychosis or depression is the most important predictor of perinatal recurrence in women with bipolar disorder and can be used to individualise risk assessments. Declaration of interest None.
Temperature drives Zika virus transmission: evidence from empirical and mathematical models

Temperature is a strong driver of vector-borne disease transmission. Yet, for emerging arboviruses we lack fundamental knowledge on the relationship between transmission and temperature. Current models rely on the untested assumption that Zika virus responds similarly to dengue virus, potentially limiting our ability to accurately predict the spread of Zika. We conducted experiments to estimate the thermal performance of Zika virus (ZIKV) in field-derived Aedes aegypti across eight constant temperatures. We observed strong, unimodal effects of temperature on vector competence, extrinsic incubation period and mosquito survival. We used thermal responses of these traits to update an existing temperature-dependent model to infer temperature effects on ZIKV transmission. ZIKV transmission was optimized at 29°C, and had a thermal range of 22.7°C–34.7°C. Thus, as temperatures move towards the predicted thermal optimum (29°C) owing to climate change, urbanization or seasonality, Zika could expand north and into longer seasons. By contrast, areas that are near the thermal optimum were predicted to experience a decrease in overall environmental suitability. We also demonstrate that the predicted thermal minimum for Zika transmission is 5°C warmer than that of dengue, and current global estimates on the environmental suitability for Zika are greatly over-predicting its possible range.
Fuzzy Multi-Criteria Based Trust Management in Heterogeneous Federated Future Internet Testbeds

A federation of heterogeneous testbeds, which provides a wide range of services, attracts many experimenters from academia and industry to evaluate novel future Internet architectures and network protocols. The candidate experimenter reserves the appropriate testbeds’ resources based on various diverse criteria. Since several testbeds offer similar resources, a trust mechanism between the users and the providers will facilitate the proper selection of testbeds. This paper proposes a fuzzy reputation-based trust framework that is based on a modification of the fuzzy VIKOR multi-criteria decision making method and combines the user’s opinion from previously-conducted experiments with retrieved monitoring data from the utilized testbeds, in order to quantify the reputation of each testbed and the credibility of the experimenter. The proposed framework can process various types of numeric and linguistic data in an on-line fashion and can be easily extended for new types of testbeds and services. Data from active federated testbeds are used to evaluate the performance of the fuzzy reputation-based trust framework under dynamic conditions. Furthermore, a comparison of the proposed framework with another existing state of the art trust framework for federated testbeds is presented, and its superiority is demonstrated.
Risk of Major Malformations in Infants Following First-Trimester Exposure to Quetiapine.

OBJECTIVE: Second-generation antipsychotics are commonly prescribed to reproductive-age women for the treatment of a spectrum of psychiatric disorders. Quetiapine is the most commonly prescribed medication in this class, and therefore a better understanding of its reproductive safety profile is critical. The goal of this study was to determine the risk of major malformations among infants exposed to quetiapine during pregnancy compared with a group of infants whose mothers had a history of psychiatric morbidity but who did not use a second-generation antipsychotic during pregnancy. METHOD: The National Pregnancy Registry for Atypical Antipsychotics interviews pregnant women ages 18-45 during pregnancy and the postpartum period. Obstetric, labor, and delivery medical records and pediatric medical records from the first 6 months of life were screened for evidence of major malformations, followed by adjudication by a blinded dysmorphologist. Women with first-trimester exposure to quetiapine were compared with control subjects without exposure to second-generation antipsychotics. RESULTS: As of March 2017, 888 women had enrolled prospectively and 357 were eligible for analysis. Of these, 152 women with first-trimester exposure to quetiapine were compared with 205 control subjects without any second-generation antipsychotic exposure. For the 155 infants born to women in the exposed group (including three sets of twins), two major malformations were confirmed (1.3%), compared with three major malformations among the 210 infants born in the unexposed group (including five sets of twins) (1.4%). The unadjusted odds ratio for major malformations between infants with and without quetiapine exposure was 0.90 (95% CI=0.15, 5.46), which is consistent with the pooled estimate of the available controlled data on fetal exposure to quetiapine. CONCLUSIONS: These data regarding the safety of fetal exposure to quetiapine in a small sample of well-characterized participants are reassuring given that the confidence interval does not exceed a fivefold increased risk of major malformations relative to psychiatric control subjects. Future analyses based on ongoing data collection will produce more precise estimates.
Ocean acidification does not limit squid metabolism via blood oxygen supply

ABSTRACT Ocean acidification is hypothesized to limit the performance of squid owing to their exceptional oxygen demand and pH sensitivity of blood–oxygen binding, which may reduce oxygen supply in acidified waters. The critical oxygen partial pressure (Pcrit), the PO2 below which oxygen supply cannot match basal demand, is a commonly reported index of hypoxia tolerance. Any CO2-induced reduction in oxygen supply should be apparent as an increase in Pcrit. In this study, we assessed the effects of CO2 (46–143 Pa; 455–1410 μatm) on the metabolic rate and Pcrit of two squid species – Dosidicus gigas and Doryteuthis pealeii – through manipulative experiments. We also developed a model, with inputs for hemocyanin pH sensitivity, blood PCO2 and buffering capacity, that simulates blood oxygen supply under varying seawater CO2 partial pressures. We compare model outputs with measured Pcrit in squid. Using blood–O2 parameters from the literature for model inputs, we estimated that, in the absence of blood acid–base regulation, an increase in seawater PCO2 to 100 Pa (≈1000 μatm) would result in a maximum drop in arterial hemocyanin–O2 saturation by 1.6% at normoxia and a Pcrit increase of ≈0.5 kPa. Our live-animal experiments support this supposition, as CO2 had no effect on measured metabolic rate or Pcrit in either squid species. Summary: Based on experimental and theoretical evidence, it seems unlikely that ocean acidification will impair blood oxygen supply in active squid.
Almond Shell as a Microporous Carbon Source for Sustainable Cathodes in Lithium–Sulfur Batteries

A microporous carbon derived from biomass (almond shells) and activated with phosphoric acid was analysed as a cathodic matrix in Li–S batteries. By studying the parameters of the carbonization process of this biomass residue, certain conditions were determined to obtain a high surface area of carbon (967 m2 g−1) and high porosity (0.49 cm3 g−1). This carbon was capable of accommodating up to 60% by weight of sulfur, infiltrated by the disulphide method. The C–S composite released an initial specific capacity of 915 mAh g−1 in the Li–S cell at a current density of 100 mA g−1 with a high retention capacity of 760 mAh g−1 after 100 cycles and a coulombic efficiency close to 100%. The good performance of the composite was also observed under higher current rates (up to 1000 mA g−1). The overall electrochemical behaviour of this microporous carbon acting as a sulfur host reinforces the possibility of using biomass residues as sustainable sources of materials for energy storage.
Generalized Coloring of Permutations

A permutation pi is a merge of a permutation sigma and a permutation tau, if we can color the elements of pi red and blue so that the red elements have the same relative order as sigma and the blue ones as tau. We consider, for fixed hereditary permutation classes C and D, the complexity of determining whether a given permutation pi is a merge of an element of C with an element of D. We develop general algorithmic approaches for identifying polynomially tractable cases of merge recognition. Our tools include a version of nondeterministic logspace streaming recognizability of permutations, which we introduce, and a concept of bounded width decomposition, inspired by the work of Ahal and Rabinovich. As a consequence of the general results, we can provide nontrivial examples of tractable permutation merges involving commonly studied permutation classes, such as the class of layered permutations, the class of separable permutations, or the class of permutations avoiding a decreasing sequence of a given length. On the negative side, we obtain a general hardness result which implies, for example, that it is NP-complete to recognize the permutations that can be merged from two subpermutations avoiding the pattern 2413.
Methods to improve medication adherence in patients with chronic inflammatory rheumatic diseases: a systematic literature review

Objective Lack of adherence to treatment is frequent in chronic inflammatory rheumatic diseases and is associated with poorer outcomes. The objective of this study was to describe and evaluate interventions that have been proposed to enhance medication adherence in these conditions. Methods A systematic literature review was performed in Pubmed, Cochrane, Embase and clinicaltrials.gov databases completed by the rheumatology meeting (ACR, EULAR and SFR) abstracts from last 2 years. All studies in English or French evaluating an intervention to improve medication adherence in chronic inflammatory rheumatic diseases (rheumatoid arthritis (RA), spondyloarthritis (SpA), crystal related diseases, connective tissue diseases, vasculitis and Still’s disease) were included. Interventions on adherence were collected and classified in five modalities (educational, behavioural, cognitive behavioural, multicomponent interventions or others). Results 1325 abstracts were identified and 22 studies were finally included (18 studies in RA (72%), 4 studies in systemic lupus erythematosus (16%), 2 studies in SpA (8%) and 1 study in gout (4%)). On 13 randomised controlled trials (RCT) (1535 patients), only 5 were positive (774 patients). Educational interventions were the most represented and had the highest level of evidence: 8/13 RCT (62%, 1017 patients) and 4/8 were positive (50%). In these studies, each patient was individually informed or educated by different actors (physicians, pharmacists, nurses and so on). Supports and contents of these educational interventions were heterogenous. Conclusion Despite the importance of medication adherence in chronic inflammatory rheumatic disorders, evidence on interventions to improve medication adherence is scarce.
Improvement in Luminous Efficacy and Thermal Performance Using Quantum Dots Spherical Shell for White Light Emitting Diodes

White light-emitting diodes (WLEDs) based on quantum dots (QDs) are gaining increasing attention due to their excellent color quality. QDs films with planar structure are universally applied in WLEDs for color conversion, while they still face great challenges in high light extraction and thermal stability. In this study, a QDs film with a spherical shell structure was proposed to improve the optical and thermal performance for WLEDs. Compared with the conventional planar structure, the luminous efficacy of the QDs spherical shell structure is improved by 12.9% due to the reduced total reflection effect, and the angular-dependent correlated color temperature deviation is decreased from 2642 to 283 K. Moreover, the highest temperature of the WLED using a QDs spherical shell is 4.8 °C lower than that of the conventional WLED with a planar structure, which is mainly attributed to larger heat dissipation area and separated heat source. Consequently, this QDs spherical shell structure demonstrates superior performance of QDs films for WLEDs applications.
Systematic Study of Long Tail Phenomena in Entity Linking

State-of-the-art entity linkers achieve high accuracy scores with probabilistic methods. However, these scores should be considered in relation to the properties of the datasets they are evaluated on. Until now, there has not been a systematic investigation of the properties of entity linking datasets and their impact on system performance. In this paper we report on a series of hypotheses regarding the long tail phenomena in entity linking datasets, their interaction, and their impact on system performance. Our systematic study of these hypotheses shows that evaluation datasets mainly capture head entities and only incidentally cover data from the tail, thus encouraging systems to overfit to popular/frequent and non-ambiguous cases. We find the most difficult cases of entity linking among the infrequent candidates of ambiguous forms. With our findings, we hope to inspire future designs of both entity linking systems and evaluation datasets. To support this goal, we provide a list of recommended actions for better inclusion of tail cases.
PPAR-γ Agonist Alleviates Liver and Spleen Pathology via Inducing Treg Cells during Schistosoma japonicum Infection

Background Peroxisome proliferator-activated receptor- (PPAR-) γ plays critical roles in human metabolic disorders and has recently been implicated as a regulator of cellular proliferation and inflammatory responses. Regulatory T cells (Tregs), which express high levels of PPAR-γ protein, have the ability to maintain immune tolerance to self-antigens and regulate immune response to Schistosoma infection. However, mechanisms involved in the resolution of these responses are elusive. Methods Liver and spleen tissue samples in Schistosoma japonicum-infected mice after administration of pioglitazone (a PPAR-γ agonist) were collected. The hepatic and splenic pathologies were detected by H&E and Masson staining. The percentages of Th1/2 and Treg cells in the liver and spleen of each mouse were determined using flow cytometry. Levels of gene expression of PPAR-γ and Foxp3 in tissues or cells were determined using real-time PCR (RT-PCR). Macrophages were treated with pioglitazone in vitro or cocultured with normal purified CD4+ T cells for detecting Treg cells by flow cytometry. The interactions of PPAR-γ with Foxp3 in CD4+ T cells were detected by coimmunoprecipitation. Results Administration of pioglitazone resulted in the prevention of the development of hepatic and splenic pathologies. Activation of PPAR-γ by pioglitazone resulted in increased percentages of CD4+CD25+Foxp3+ Treg cells and decreased percentages of CD3+CD4+IFN-γ+ and CD3+CD4+IL-4+ cells in the liver and spleen of Schistosoma japonicum-infected mice. In addition, the PPAR-γ agonist can induce Treg cells in vitro directly or by modulating the macrophage's function indirectly. Furthermore, through interaction with Foxp3 in CD4+ T cells, the PPAR-γ agonist can promote the expression of Foxp3; however, the inhibitor of PPAR-γ weakened the expression of Foxp3 by modifying the coexpression of Foxp3 and PPAR-γ. Conclusions Our study reveals a previously unrecognized role for PPAR-γ/Foxp3 signaling in regulating the immunopathology that occurs during Schistosoma infection through induction of Treg cells.
Revisiting Connectivity Map from a gene co-expression network analysis

The Connectivity Map (CMap) is a tool that has been extensively utilized to study drug repositioning and side-effect prediction. However, most of these analyses rely on signature genes, ignoring the pathways by which those genes are regulated, as well as the functional overlap of redundant genes. The present study utilized a systems biology approach referred to as Weighted Gene Co-expression Network Analysis (WGCNA) to dissect the transcriptional profiles of CMap and reveal these hidden factors. Seven common modules associated with protein binding, extracellular matrix organization and translation were identified. Furthermore, drugs were clustered based on module expression to infer their mechanism of action (MoA) based on common activity profiles. As an extension of this, an example of disease-based module projection to identify novel drugs was provided. The analysis developed in the present study may provide a novel framework for drug repositioning or discovering MoAs.
Social Q&A vs. library virtual reference: User choices and comparisons

In recent years, there has been an increased use of Social Q&A (SQA). At the same time, there has been a reported decline of library virtual reference (VR). Most current research touches on the phenomenon from the perspective of libraries or library users. In this study, a survey of SQA users was conducted to understand SQA uses and experiences, and user comparisons of SQA and VR. The results help shed light on SQA user behavior, reasons for participating in SQA, important factors in using online services to seek answers, and service awareness and comparison of SQA and VR. The results also offer implications for enhancing library VR.
Analyzing College Students' Social Media Communication Apprehension

Research has shown that college students are heavy users of social media. Yet, very little has looked at the connection between college students' social media use and communication apprehension (CA). Due to the shortage of research concerning CA and social media, this study aims to test the relationship between social media CA and introversion in relationship to social media use and social media addiction. To test these relationships, 396 undergraduate students were surveyed. The survey consisted of instruments used to measure the individuals' levels of social media use, social media addiction, introversion, and CA. After conducting multiple linear regressions, it was determined that there was a negative relationship between social media CA and introversion with (1) social media use and (2) social media addiction. Results indicated that social media CA was significantly related to social media addiction. These findings suggest that college students might gravitate toward social media to communicate rather than face-to-face communication.
NLATool: an Application for Enhanced Deep Text Understanding

Today, we see an ever growing number of tools supporting text annotation. Each of these tools is optimized for specific use-cases such as named entity recognition. However, we see large growing knowledge bases such as Wikipedia or the Google Knowledge Graph. In this paper, we introduce NLATool, a web application developed using a human-centered design process. The application combines supporting text annotation and enriching the text with additional information from a number of sources directly within the application. The tool assists users to efficiently recognize named entities, annotate text, and automatically provide users additional information while solving deep text understanding tasks.