Miracle-dz/UniFAR-FTUs huggingface dataset:
Edinburgh Research Explorer Outcomes of liver transplantation for non-alcoholic steatohepatitis

patients (28.9%, p < 0.001). NASH was not signiﬁcantly associated with survival of patients (hazard ratio [HR] 1.02, p = 0.713) or grafts (HR 0.99; p = 0.815) after accounting for available recipient and donor variables. Infection (24.0%) and cardio/cerebrovascular complications (5.3%) were the commonest causes of death in patients with NASH without HCC. Increasing recipient age (61–65 years: HR 2.07, p < 0.001; >65: HR 1.72, p = 0.017), elevated model for end-stage liver disease score (>23: HR 1.48, p = 0.048) and low (<18.5 kg/m 2 : HR 4.29, p = 0.048) or high (>40 kg/m 2 : HR 1.96, p = 0.012) recipient body mass index independently predicted death in patients transplanted for NASH without HCC. Data must be interpreted in the context of absent recognised confounders, such as pre-morbid metabolic risk factors. Conclusions :The number and proportion of liver transplants performed for NASH in Europe has increased from 2002 through 2016. HCC was more common in patients transplanted with NASH. Survival of patients and grafts in patients with NASH is comparable to that of other disease indications. Lay summary :The prevalence of non-alcoholic fatty liver disease has increased dramatically in parallel with the worldwide in obesity diabetes. Its progressive form, non-Journal alcoholic steatohepatitis, is a growing indication for liver transplantation in Europe, with good overall outcomes reported. However, careful risk factor assessment is required to maintain favourable post-transplant outcomes in patients with nonalcoholic steatohepatitis. (cid:1) 2019 European Association for the Study of the Liver. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). accounting for other confounding backwards stepwise approach used to select factors for inclusion in the ﬁnal model, variables with a signiﬁcance of p >0.10 iteratively excluded from the input model. available and clin-ically relevant factors were included in the input models. Where NASH was excluded due to non-signiﬁcance, it added into the ﬁnal model alongside the factors identiﬁed as signiﬁcant by the stepwise procedure. analysis repeated
Microvascular parameters evaluated with optical coherence tomography‐angiography in children: comparison between preterm and full‐term patients

van Dijk K, Parker J, Tong CM, Ham L, Lie JT, Groeneveld-van Beek EA & Melles GRJ (2014): Midstromal isolated Bowman layer graft for reduction of advanced keratoconus: a technique to postpone penetrating or deep anterior lamellar keratoplasty. JAMA Ophthalmol 132: 495–501. van Dijk K, Liarakos VS, Parker J, Ham L, Lie JT, Groeneveld-van Beek EA & Melles GR (2015): Bowman layer transplantation to reduce and stabilize progressive, advanced keratoconus. Ophthalmology 122: 909–917. van Dijk K, Parker JS, Baydoun L, Ilyas A, Dapena I, Groeneveld-van Beek EA & Melles GRJ (2018): Bowman layer transplantation: 5-year results. Graefes Arch Clin Exp Ophthalmol 256: 1151–1158. Melles GRJ, Lander F, Rietveld FJR, Remeijer L, Houdijn Beekhuis W & Binder PS (1999): A new surgical technique for deep, anterior lamellar keratoplasty. Br J Ophthalmol 83: 327–333. Saad A, Guilbert E, Grise-Dulak A, Sabatier P & Gatinel D (2015): Intraoperative OCTAssisted DMEK: 14 consecutive cases. Cornea 34: 802–807.
Bird species recognition using HMM-based unsupervised modelling of individual syllables with incorporated duration modelling

This paper presents an HMM-based automatic system for recognition of bird species from audio field recordings. It includes an improved unsupervised modelling of individual bird syllables and duration modelling. The acoustic signal is decomposed into isolated segments, each segment containing a temporal evolution of a detected sinusodal component. Modelling of bird syllables is performed using Hidden Markov models (HMMs). A set of syllables of bird vocalisations is discovered in an unsupervised manner by employing dynamic time warping and agglomerative hierarchical clustering. A novel iterative maximum likelihood procedure is used to train individual HMMs for syllables of each species. Modelling of the state duration is employed in a post-recognition stage by combining the likelihood of the acoustic and duration modelling. Experiments are performed on over 33 hours of field recordings, containing 30 bird species. Evaluations demonstrate that the use of the proposed un-supervised iterative HMM training procedure and the duration modelling provides in average 45% error rate reduction. The presented system recognises bird species with accuracy of 97.8% using 3 seconds of the detected signal.
Assessing Individual Differences in the Affective Experience of Dreams: The Jena Dream Inventory–Affect Scales (JeDI-A)

The study reports on the validation of a new instrument for the assessment of emotional experiences in dreams. The Jena Dream Inventory–Affect (JeDI-A) contains 21 items and 3 scales, positive dream affect, negative dream affect, and dream intensity, providing a differentiated yet economic assessment of dream affect. Cross-sectional and longitudinal analyses in a sample of university students (N = 426) and a clinical sample of patients with sleep disorders (N = 149) supported factorial validity and measurement invariance, high temporal stability (over 1 year and 9 months in the students and patients, respectively), convergent and discriminant validity regarding established measures of dream affect and the Big Five, and criterion validity regarding subjective well-being. Cross-lagged panel models showed reciprocal longitudinal effects between dream affect and waking affect. We conclude that the JeDI-A is a valid instrument for differentiated investigations of individual differences in dream affect in clinical and nonclinical populations.
A Biosensor-Based Quantitative Analysis System of Major Active Ingredients in Lonicera japonica Thunb. Using UPLC-QDa and Chemometric Analysis

In the study, a surface plasmon resonance-based (SPR-based) competitive assay was performed to analyze different compounds’ inhibitory activity to TNF-α, an important pro-inflammatory cytokine in the pathogenesis of chronic inflammatory diseases. Moreover, the single mass spectrometry (MS) detection method was coupled with an ultra-high-performance liquid chromatography (UPLC) system for the routine quality control (QC) of a traditional Chinese medicine (TCM). The above quality control strategy was evaluated with Lonicera japonica Thunb. Analytes were firstly separated on a Waters ACQUITYTM UPLC HSS T3 column (2.1 × 50 mm; particle size = 1.8 μm) using a 0.1% formic acid gradient elution, then detected by negative ESI mass spectrometry. The limits of quantification (LOQ) for analytes reached 0.005–0.56 μg/mL. The LOD of the QDa detector was lower than that of the PDA detector, indicating its wider detection range. The QDa detector was also more suitable for the analysis of the complex matrix of TCM. The method showed excellent linearity, with regression coefficients higher than 0.9991. The average recoveries of the investigated analytes were in the range of 98.78–105.13%, with an RSD below 3.91%. The inter-day precision range (n = 3 days) was 2.51–4.54%. Compared to other detectors, this strategy could be widely applied in the quantitative analysis of TCM. In addition, the chemically latent data could be revealed using chemometric analysis. Importantly, this study provides an efficient screening method for small-molecule inhibitors targeting the TNF-α pathway.
Getting Messy with Authentic Data: Exploring the Potential of Using Data from Scientific Research to Support Student Data Literacy

Data are becoming increasingly important in science and society, and thus data literacy is a vital asset to students as they prepare for careers in and outside science, technology, engineering, and mathematics and go on to lead productive lives. In this paper, we discuss why the strongest learning experiences surrounding data literacy may arise when students are given opportunities to work with authentic data from scientific research. First, we explore the overlap between the fields of quantitative reasoning, data science, and data literacy, specifically focusing on how data literacy results from practicing quantitative reasoning and data science in the context of authentic data. Next, we identify and describe features that influence the complexity of authentic data sets (selection, curation, scope, size, and messiness) and implications for data-literacy instruction. Finally, we discuss areas for future research with the aim of identifying the impact that authentic data may have on student learning. These include defining desired learning outcomes surrounding data use in the classroom and identification of teaching best practices when using data in the classroom to develop students’ data-literacy abilities.
Expression of microRNA-181 determines response to treatment with azacitidine and predicts survival in elderly patients with acute myeloid leukaemia

MicroRNAs (miRs) are small non-coding RNAs that play important roles in cell differentiation and survival. Abnormal expression of miRs has been demonstrated in numerous types of cancer, including acute myeloid leukaemia (AML). The aim of the present study was to evaluate miR-181 expression at diagnosis and following the completion of chemotherapy in AML patients, with regard to clinical response and outcome, particularly in patients treated with azacitidine. miR-181 expression was analysed using reverse transcription-quantitative polymerase chain reaction in 95 bone marrow specimens from newly diagnosed AML patients and in 20 healthy subjects for comparison. The results revealed upregulated miR-181 expression in the total cohort of AML patients, which was correlated with longer survival. However, in a subset of older AML patients treated with azacitidine, low miR-181 expression at diagnosis was a predictor for complete remission and prolonged survival. The findings indicated that miR-181 has an important role in AML and determines response to azacitidine treatment in older AML patients.
A survey of recently published papers on orthopedics in the Brazilian scientific press

This paper is a review of articles published in Brazilian scientific periodicals in recent years. Its main purpose is to bring to the attention of the readership of Acta Ortopedica Brasileira original contributions to the field published in non-specialized journals. We hope that this will serve as a general scientific update for readers. The review includes works published in six ISI indexed non-orthopedic journals, following a literature search conducted in fourteen such journals.
First fully integrated 2-D array of single-photon detectors in standard CMOS technology

A two-dimensional (2-D) array (4 by 8) of single-photon avalanche diodes integrated in an industrial complementary metal-oxide-semiconductor (CMOS) process is presented. Each pixel combines a photodiode biased above its breakdown voltage in the so-called Geiger mode, a quenching resistor, and a simple comparator. The pitch between the pixels is 75 /spl mu/m and the diameter of each pixel is 6.4 /spl mu/m. The full integration allows reducing the number of charge carriers in a Geiger pulse. The electroluminescence responsible for optical crosstalks between pixels is then reduced leading to a negligible optical crosstalk probability. Thanks to the cleanness of the fabrication process, no afterpulsing effects are noticed. At room temperature, most of the pixels exhibit a dark-count rate of about 50 Hz. The detection probability is almost identical for all 32 pixels of the array with relative variation in the range of a few percents. This letter demonstrates the feasibility of an array of single-photon detectors sensitive in the visible part of the spectrum. Besides low production costs and compactness, an undeniable benefit lies in the potential to easily modify the design to fit a specific application. Furthermore, the CMOS integration opens the way to on-chip data processing.
Automated versus Manual Imaging Assessment of Early Ischemic Changes in Acute Stroke -Comparison of two Software Packages and Expert Consensus

Material und Methoden: Aus einer Kohorte von 1644 konsekutiven Patienten mit vermutetem Schlaganfall, wurden Patienten nach folgenden Kriterien selektiert. (1) In der Verlaufsbildgebung bestätigter Infarkt im Mediaterritorium, (2) Verfügbare CT Perfusion (CTP) bei Aufnahme, (3) Fehlen alter Infarkte oder hyperdenser Läsionen. Die CT-Dichte aller Alberta Stroke Program Early CT Score (ASPECTS) – Regionen wurde mittels automatisierter Software bestimmt. Relative Hounsfield Units (rHU) wurden als Verhältnis zwischen der CT-Dichte der Regionen der betroffenen gegenüber der kontraläsionalen Hemisphäre definiert. Ein gewichteter composite rHU-Score wurde aus den Koeffizienten einer linearen Regressionsanalyse berechnet und vereint sämtliche Dichtemessungen in einem Wert. Receiver Operating Characteristics (ROC) -Analysen wurden durchgeführt, um den Diskriminationswert dieses Scores in Bezug auf die aktuellen Auswahlkriterien für CTP-Studien und subakute Schlaganfallkomplikationen zu testen.
Pregenomic RNA: How to assist the management of chronic hepatitis B?

Pregenomic RNA (pgRNA) is an emerging serological marker for chronic hepatitis B virus (HBV) infection. While pgRNA is principally the template for viral proteins and viral DNAs, additional novel functions for the serum pgRNA have recently been described. These results extend for pgRNA a regulatory function in the viral life cycle and potentially a role in pathogenesis. Here, we review the diverse roles of pgRNA in HBV replication and pathogenesis, emphasizing how the unique structure of this RNA is key to its various functions. We focus in particular on the role of HBV pgRNA in guiding antiviral therapy including nucleot(s)ide analog interruption and role as a marker of cure with new curative therapies. We also briefly allude to the emerging niche for new direct‐acting or indirect‐acting antivirals targeting pgRNA.
Tissue-resident natural killer cells exacerbate tubulointerstitial fibrosis by activating transglutaminase 2 and syndecan-4 in a model of aristolochic acid-induced nephropathy

Despite reports suggesting that tissue-resident natural killer (trNK) cells cause ischemic kidney injury, their contribution to the development of tubulointerstitial fibrosis has not been determined. This study hypothesized that the depletion of trNK cells may ameliorate renal fibrosis by affecting transglutaminase 2/syndecan-4 interactions. Aristolochic acid nephropathy (AAN) was induced in C57BL/6 mice as an experimental model of kidney fibrosis. The mice were treated with anti-asialo GM1 (ASGM1) or anti-NK1.1 antibodies to deplete NK cells. Although both ASGM1 and NK1.1 antibodies suppressed renal NKp46+DX5+ NK cells, renal NKp46+DX5− cells were resistant to suppression by ASGM1 or NK1.1 antibodies during the development of tubulointerstitial fibrosis in the AAN-induced mouse model. Western blot analysis showed that both antibodies increased the expression of fibronectin, transglutaminase 2, and syndecan-4. These findings indicate that trNK cells played an exacerbating role in tubulointerstitial fibrosis by activating transglutaminase 2 and syndecan-4 in the AAN-induced mouse model.
Série Scientifique Scientific Series Relative Consumption and Resource Extraction Titre Relative Consumption and Resource Extraction

CIRANO Le CIRANO est un organisme sans but lucratif constitué en vertu de la Loi des compagnies du Québec. Le financement de son infrastructure et de ses activités de recherche provient des cotisations de ses organisations-membres, d'une subvention d'infrastructure du Ministère du Développement économique et régional et de la Recherche, de même que des subventions et mandats obtenus par ses équipes de recherche. CIRANO is a private non-profit organization incorporated under the Québec Companies Act. Its infrastructure and research activities are funded through fees paid by member organizations, an infrastructure grant from the Ministère du Développement économique et régional et de la Recherche, and grants and research mandates obtained by its research teams. Le CIRANO collabore avec de nombreux centres et chaires de recherche universitaires dont on peut consulter la liste sur son site web. Les cahiers de la série scientifique (CS) visent à rendre accessibles des résultats de recherche effectuée au CIRANO afin de susciter échanges et commentaires. Ces cahiers sont écrits dans le style des publications scientifiques. Les idées et les opinions émises sont sous l'unique responsabilité des auteurs et ne représentent pas nécessairement les positions du CIRANO ou de ses partenaires. This paper presents research carried out at CIRANO and aims at encouraging discussion and comment. The observations and viewpoints expressed are the sole responsibility of the authors. They do not necessarily represent positions of CIRANO or its partners. Résumé / Abstract On présente un modèle d'exploitation d'une ressource naturelle dans lequel les ménages accordent une importance à la consommation relative, soit la différence entre leur consommation et celle de leur groupe de référence. On identifie deux dimensions de distorsion. Premièrement, il y a la distorsion dans le choix du niveau d'effort. Deuxièmement, il y a la distorsion dans le choix entre la consommation présente et la consommation dans le futur. En général, les ménages ont tendance à exploiter les ressources naturelles de facon excessive. Par conséquent, les stocks de ressources à l'état stationnaire sont plus petits que ceux qu'aurait choisis un planificateur central. On propose une règle de taxation qui assure les résultats optimaux. Mots clés : consommation relative, revenue relative, l'hypothèse de la revenue permanente. This paper presents a simple model of resource extraction where preferences are household's preferences depend on relative consumption levels. We identify two dimensions along which consumption externalities distort the efficient extraction of resources: (i) the static trade-off between consumption and …
Progranulin-autoantibodies in sera of rheumatoid arthritis patients negative for rheumatoid factor and anti-citrullinated peptide antibodies.

OBJECTIVES Previously we discovered antibodies against progranulin (PGRN-abs) in a protein array-based screening of sera from various rheumatic diseases. Here we conducted a study to evaluate the prevalence of PGRN-abs in seropositive and seronegative rheumatoid arthritis (RA). METHODS PGRN-abs were determined in the sera from 257 RA patients being seropositive for RF-IgM and/or ACPA-IgG and from 224 seronegative RA patients who were prospectively included in this study (total RA cohort n=481). All serum samples from the included participants were tested for RF-IgM as well as for ACPA-IgG, and PGRN-abs were determined using a previously described ELISA. Statistics was performed using the χ2 test for evaluating differences in clinical data; to evaluate independent statistical effects on the frequency of PGRN-abs status a logistic regression model with Wald-test was performed. RESULTS PGRN-abs were detected in 25.3% from seropositive RA and in 21.0% from RF- and ACPA-negative RA resulting in a prevalence of 23.7% for both cohorts together. Comparing mean DAS28 values in the PGRN-abs positive cohort with the PGRN-abs negative cohort, the DAS28 value was significantly higher in PGRN-abs positive RA patients (3.81 vs. 3.50, p=0.038). A trend for higher frequencies of PGRN-abs in sera of RA patients with unfavourable characteristics such as erosive disease or requiring TNFi medication was observed. CONCLUSIONS These data suggest that the determination of PGRN-abs in seronegative RA patients may reduce their seronegative status. Further studies are required to evaluate PGRN-abs as a potential diagnostic marker in RA.
Development of a YAP(Ce) camera for the imaging of secondary electron bremsstrahlung x-ray emitted during carbon-ion irradiation toward the use of clinical conditions

Low-energy x-ray imaging of the secondary electron bremsstrahlung (SEB) x-ray emitted during carbon-ion irradiation is a promising method for range estimation. However, it remains unclear whether the method can be used for imaging with the clinical dose levels of carbon-ion and whether the bremsstrahlung x-ray can be detected from the deeper part of the body. To clarify these points, we developed a new high resolution low-energy x-ray camera and conducted imaging of the SEB x-ray during the irradiation of carbon-ions of different energies and intensities. Imaging was also tried with an x-ray camera using a human-head-sized, 17 cm diameter cylindrical phantom. To develop a high resolution imaging detector for a low-energy x-ray, we used a 20 × 20 × 0.5 mm thick cerium-doped yttrium aluminum perovskite, YA1O3 (YAP(Ce)) scintillator plate, which was optically coupled to a 25 mm square high quantum efficiency (HQE) type position sensitive photomultiplier tube (PSPMT). The imaging detector was encased in a 2 cm thick tungsten container and a pinhole collimator was attached to its camera head. After evaluating the camera’s performance, SEB x-ray imaging was tried during irradiation of the carbon-ion and compared the results with a Monte Carlo simulation. We imaged the beam tracks by the SEB x-ray in real-time during irradiation of the carbon-ion and imaging and range estimation were possible even with near clinical dose level of 7.5 × 108 particles of carbon-ion. Clear images of a SEB x-ray were also obtained for a 17 cm diameter cylindrical phantom. The measured images were good agreement with the Monte Carlo simulation. We confirmed that our developed YAP(Ce) camera is promising for imaging SEB x-rays during irradiation of carbon-ions even near clinical conditions.
An Approach to Model and Validate Publish/Subscribe Architectures

Distributed applications are increasingly built as federations of components that join and leave the cooperation dynamically. Publish/subscribe middleware is a promising infrastructure to support these applications, but unfortunately complicates the understanding and validation of these systems. It is easy to understand what each component does, but it is hard to understand what the global federation achieves. In this paper, we describe an approach to support the modeling and validation of publish/subscribe architectures. Since the complexity is mainly constrained in the middleware, we supply it as a predefined parametric component. Besides setting these parameters, the designer must provide the other components as UML statechart diagrams. The required global properties of the federation are then given in terms of live sequence charts (LSCs) and the validation of the whole system is achieved through model checking using SPIN. Instead of using the property language of SPIN (linear temporal logic), we render properties as automata; this allows us to represent more complex properties and conduct more thorough validation of our systems.