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The effective scaling-up of redox flow batteries (RFBs) can be facilitated upon lowering the capital costs. The application of ubiquitous manganese along with hydrogen (known as H2−Mn regenerative fuel cells (RFC)) is seen as an effective solution for this purpose. Here, we aim to evaluate different positive electrodes so as to improve the key performance metrics of the H2/Mn RFC, namely electrolyte utilization, energy efficiency, and peak power densities. Commercially available carbon paper and graphite felt are used to show that the latter provides better key performance indicators (KPIs), which is consistent with the results reported for standard all-vanadium RFBs in the literature. Even better KPIs are obtained when an in-house carbon catalyst layer (CCL) is employed in combination with graphite felt electrodes (e.g., more than 80% energy efficiency, >0.5 W cm−2 peak power density and electrolyte utilization of 20 Ah L−1 for felt and carbon metal fabric (CMF), prepared by means of electrospinning and carbonization, in comparison with about 75% energy efficiency 0.45 W cm−2 peak power density and 11 Ah L−1 electrolyte utilization for felt on its own). It is envisaged that if the electrochemical performance of CCLs can be optimized then it could open up new opportunities for the commercial exploitation of H2−Mn systems.

Building an intelligent dialogue system with the ability to select a proper response according to a multi-turn context is a great challenging task. Existing studies focus on building a context-response matching model with various neural architectures or PLMs and typically learning with a single response prediction task. These approaches overlook many potential training signals contained in dialogue data, which might be beneficial for context understanding and produce better features for response prediction. Besides, the response retrieved from existing dialogue systems supervised by the conventional way still faces some critical challenges, including incoherence and inconsistency. To address these issues, in this paper, we propose learning a context-response matching model with auxiliary self-supervised tasks designed for the dialogue data based on pre-trained language models. Specifically, we introduce four self-supervised tasks including next session prediction, utterance restoration, incoherence detection and consistency discrimination, and jointly train the PLM-based response selection model with these auxiliary tasks in a multi-task manner. By this means, the auxiliary tasks can guide the learning of the matching model to achieve a better local optimum and select a more proper response. Experiment results on two benchmarks indicate that the proposed auxiliary self-supervised tasks bring significant improvement for multi-turn response selection in retrieval-based dialogues, and our model achieves new state-of-the-art results on both datasets., Comment: 10 pages

Paediatric cataract is an opacity of the normally transparent lens in the eye, which occurs at birth (congenital) or develops during childhood. It is a leading cause of irreversible blindness in children. Up to 30% of paediatric cataracts are inherited. Although hundreds of cataract-related genes and loci have been found, genetic aetiology can not be identified in at least 40% of patients with inherited cataracts. Paediatric cataract is a highly heterogeneous disease with variable severity observed in affected individuals with the same causative mutation within a family. Several studies have suggested the involvement of modifier genes in paediatric cataract formation, but such genes have not been identified. This project consists of two studies and the overall aim is to identify causative and modifier genes for paediatric cataract. The first study assessed the biological function of a novel candidate causative gene previously identified in a family with paediatric cataract. The HTR1F gene was knocked out in F0 zebrafish using CRISPR-Cas9 ribonucleoprotein complexes. There was no significant difference in cataract formation between the htrlfknockout group and the control group. Therefore we concluded that knocking out HTRJF in the zebrafish models does not provide evidence for it being a cataract causative gene. Further investigations are warranted to obtain additional evidence. The second study investigated the potential for modifier genes in two extended families (family CRCH13 and family CSA91/110) with autosomal dominant paediatric cataract. The clinical phenotype information for each participant was updated and a high degree of variability for age of diagnosis and age of surgery within each family was noted. Genome-wide multipoint parametric linkage analyses of the affection status of cataract combined with whole-genome sequencing validated the previously reported causative genes. In addition, linkage analysis also indicated the existence of potential modifier genes through the presence of several suggestive linkage peaks. Further study of genes that modify the disease severity was conducted in these two extended paediatric cataract families. Genome-wide multipoint variance components linkage analysis of disease severity classified by age of diagnosis and age of surgery revealed one significant linkage region and two suggestive linkage regions likely containing modifier variants in family CRCH13, but failed to detect any linkage regions in CSA91/110 likely due to limited statistical power. In summary, we evaluated the function of a novel candidate cataract­ causing gene in zebrafish models. In addition, we developed an approach for rapid and highly efficient evaluation of cataract candidate genes in FO zebrafish using CRISPR-Cas9 ribonucleoprotein complexes. Zebrafish cataract assessment criteria were also generated, which to our knowledge, is the first systematic, definitive cataract assessment criteria for the zebrafish model. We confirmed the causative genes in two large paediatric cataract families and identified candidate linkage intervals for genetic modifiers in one of the families. The findings and novel strategies generated from this project can benefit the understanding of the pathogenesis of paediatric cataract and contribute to the identification of novel cataract-causing genes and modifier genes.

Peer reviewed: True, The effective scaling-up of redox flow batteries (RFBs) can be facilitated upon lowering the capital costs. The application of ubiquitous manganese along with hydrogen (known as H2−Mn regenerative fuel cells (RFC)) is seen as an effective solution for this purpose. Here, we aim to evaluate different positive electrodes so as to improve the key performance metrics of the H2/Mn RFC, namely electrolyte utilization, energy efficiency, and peak power densities. Commercially available carbon paper and graphite felt are used to show that the latter provides better key performance indicators (KPIs), which is consistent with the results reported for standard all-vanadium RFBs in the literature. Even better KPIs are obtained when an in-house carbon catalyst layer (CCL) is employed in combination with graphite felt electrodes (e.g., more than 80% energy efficiency, >0.5 W cm−2 peak power density and electrolyte utilization of 20 Ah L−1 for felt and carbon metal fabric (CMF), prepared by means of electrospinning and carbonization, in comparison with about 75% energy efficiency 0.45 W cm−2 peak power density and 11 Ah L−1 electrolyte utilization for felt on its own). It is envisaged that if the electrochemical performance of CCLs can be optimized then it could open up new opportunities for the commercial exploitation of H2−Mn systems.

Fluctuating superconductivity—vestigial Cooper pairing in the resistive state of a material—is usually associated with low dimensionality, strong disorder, or low carrier density. Here, we report single-particle spectroscopic, thermodynamic and magnetic evidence for persistent superconducting fluctuations in the heavily hole-doped cuprate superconductor () despite the high carrier density. With a sign-problem-free quantum MonteCarlo calculation, we show how a partially flat band at can help enhance superconducting phase fluctuations. Finally, we discuss the implications of an anisotropic band structure on the phase-coherence-limited superconductivity in overdoped cuprates and other superconductors.

Abbe error is an important factor affecting high-precision machine tools, and the traditional modeling method does not consider Abbe error. Aiming at this problem, based on the traditional error model of machine tools and the formation mechanism of Abbe error, this paper establishes a machine tool spatial error model that considers Abbe error. Then combined with a specific machine tool, based on the measurement of 21 geometric errors of the machine tool to obtain relevant error data, through the combination of qualitative and quantitative accuracy evaluation methods, two models of traditional error model and error model considering Abbe error are analyzed. The accuracy of the machine tool is compared, and the comparison of the compensation effects of the two error models after compensation is also analyzed. The example verification shows that the machine tool spatial error model considering Abbe error is effective and feasible, and the compensation effect is better. It provides an important modeling method for improving the machining accuracy of precision machine tools.

RNA polymerase II (Pol II)-mediated transcription in metazoan requires precise regulation. RNA polymerase II-associated protein 2 (RPAP2) was previously identified to transport Pol II from cytoplasm to nucleus and dephosphorylates Pol II C-terminal domain (CTD). We found that RPAP2 binds hypo/hyper-phosphorylated Pol II with undetectable phosphatase activity. Structure of RPAP2-Pol II shows mutually exclusive assembly of RPAP2-Pol II and pre-initiation complex (PIC) due to three steric clashes. RPAP2 prevents/disrupts Pol II-TFIIF interaction and impairs in vitro transcription initiation, suggesting a function in prohibiting PIC assembly. Loss of RPAP2 in cells leads to global accumulation of TFIIF and Pol II at promoters, indicating critical role of RPAP2 in inhibiting PIC assembly independent of its putative phosphatase activity. Our study indicates that RPAP2 functions as a gatekeeper to prohibit PIC assembly and transcription initiation and suggests a novel transcription checkpoint.

Crossed pulmonary arteries (CPA) is an unusual malformation characterized by abnormal origination of the pulmonary arteries from the main pulmonary artery (MPA), which is usually associated with complex cardiac pathologies and chromosomal abnormalities. We report a case of crossed pulmonary artery (CPA) associated with tetralogy of Fallot (TOF), right aortic arch (RAA), and absence of ductus arteriosus. Sonographic findings, complicated malformations, genetic anomalies, differential diagnosis, and prognosis analysis are discussed. Although the isolated CPA is relatively asymptomatic, when it is accompanied by other cardiac anomalies, the prognosis needs to be reevaluated.

SummaryThe Betta fish displays a remarkable variety of phenotypes selected during domestication. However, the genetic basis underlying these traits remain largely unexplored. Here, we report a high-quality genome assembly and re-sequencing of 727 individuals representing diverse morphologies of the betta fish. We show that current breeds have a complex domestication history with extensive introgression with wild species. Using GWAS, we identify the genetic basis of multiple traits, including several coloration phenotypes, sex-determination which we map toDMRT1, and the long-fin phenotype which maps toKCNJ15. We identify a polygenic signal related to aggression with many similarities to human psychiatric traits, involving genes such asCACNB2andDISC1. Our study provides a resource for developing the Betta fish as a genetic model for morphology and behavior in vertebrates.

Background: Due to the low incidence of pulmonary large cell neuroendocrine carcinoma (LCNEC), the survival analysis for comparing lobectomy and sublobar resection (SLR) for stage IA LCNEC remains scarce. Methods: Patients diagnosed with pathological stage IA LCNEC between 1998 and 2016 were extracted from the Survenillance, Epidemiology, and End Results (SEER) database. The oncological outcomes were cancer-specific survival (CSS) and overall survival (OS). Kaplan-Meier analysis and Cox multivariate analysis were used to identify the independent prognostic factors for OS and CSS. Furthermore, propensity score matching (PSM) was performed between SLR and lobectomy to adjust the confounding factors. Results: A total of 308 patients with stage IA LCNEC met the inclusion criteria: 229 patients (74.4%) received lobectomy and 79 patients (25.6%) received SLR. Patients who underwent SLR were older (PConclusions: Although SLR is not inferior to lobectomy in terms of oncological outcomes for patients with stage IA LCNEC, more lymph nodes can be dissected or sampled during lobectomy. Lobectomy should be considered as a standard procedure for patients with early-stage LCNEC who are able to withstand lobectomy.

Background Pyogenic liver abscess (PLA) is a common clinical disease throughout the world with remaining high mortality and morbidity. This study sought to investigate key genes and non-coding RNAs (ncRNAs) associated with the pathogenesis and treatment of sepsis caused by PLA (SLA). Methods We constructed the expression profiles of RNAs by RNA sequencing in the peripheral blood of healthy subjects, SLA and seven day therapy of SLA patients. Then the sequencing data was analysed through integrated bioinformatics strategy. Results 4549 mRNAs, 9808 lncRNAs, 467 circRNAs and 292 miRNAs were differentially expressed (DE) between SLA and control samples. 3199 mRNAs, 6018 lncRNAs, 161 circRNAs and 132 miRNAs were differentially expressed between SLA after 7 days therapy and SLA control subjects. Moreover, DE mRNAs of the former two comparisons were both related to immunity and T cell-mediated immune response; DE lncRNAs were both associated with B cell receptor signaling pathway and Osteoclast differentiation; DE circRNAs were both related to Chagas disease and B cell receptor signaling pathway; DE miRNAs exerts its specific role in the process of SLA by MAPK signaling pathway and Estrogen signaling pathway compared to DE lncRNAs, circRNAs and mRNAs. Finally, lncRNA/circRNA–miRNA–mRNA network was constructed to explore the internal regulating relationships of these ncRNAs and mRNAs. Conclusions Our results may provide a new perspective on differential RNA expression involved in the pathogenesis and treatment of SLA and accelerate the development of novel treatments for this disease.

The non-collinear antiferromagnetic (AFM) structure makes Mn3Sn exhibit exotic properties. At present, it has been found that both the hydrostatic pressure and the strain introduced by interstitial N atoms have a great influence on this magnetic structure. Here, the effect of the residual strain (RS) on it is investigated. AC and DC magnetic measurement results suggest that Mn3Sn without RS has the non-collinear AFM structure only in the temperature range of 285 K to 400 K; while Mn3Sn with RS has a non-coplanar AFM structure in the entire temperature range from 5 K to 400 K. Both anomalous Hall effect and topological Hall effect appears in Mn3Sn with RS, supporting the anticipated non-coplanar AFM structure. Our findings point out a method to realize the chiral non-coplanar AFM structure through the engineering, thereby providing a path for the construction of topological antiferromagnets., Comment: 18 pages, 5 figures

Previous research has made use of sensory discrimination tasks that incorporate differential reinforcement schedules as a method for measuring individual differences in implicit reward learning. One such task utilizing a differential reinforcement schedule was popularized by Pizzagalli et al. (2005) with the intent of behaviorally assessing anhedonia and reward sensitivity. Various studies have examined implicit reward learning in relation to clinical symptoms and personality traits, including anhedonia, depression, and Extraversion. Despite extensive use of these tasks, they have not been extensively examined in relation to intelligence. Other research suggests positive associations of intelligence with sensory discrimination ability. The present study utilized a probabilistic reward task incorporating differential reinforcement in a large community sample to determine the relations among IQ, sensory discrimination ability, and implicit reward learning. Participants (N = 298) completed a sensory discrimination task, as well as an IQ test. IQ was not associated with participants’ levels of implicit reward learning but was positively associated with sensory discrimination ability. These findings provide further understanding of the complex relations among implicit learning, sensory discrimination ability, and intelligence.

Background: The monitoring of treat-to-target (T2T) urate-lowering therapy (ULT) for gout is crucial for the assessing treatment response. However, evidence is lacking about clinical remission on ultrasound (US). The aim of this study was to observe the changes in three outcome domains (urate deposition, joint inflammation and bone erosion) in patients with ULT within 1 year, evaluate the effect of target treatment and analyse the relationships between clinical factors and US features. Methods: The elementary lesions of the bilateral knee, ankle and first metatarsophalangeal joints were evaluated by US before and after 3,6 and 12months of treatment. Urate deposition was assessed by the maximum long and short axis diameters of the tophi and dichotomous data of the double-contour (DC) sign and aggregates. After each follow-up, the most obvious lesions were selected for repeated observation. The effective clearance rates of these three signs in different time groups were compared. A Global OMERACT–EULAR Synovitis Score (GLOESS) was calculated for these three paired joints to observe the remission and recurrence of inflammation. Bone destruction was scored at each time point. The correlation between serum uric acid (sUA) levels and tophi size changes was analysed. Results: This cohort contained 79 patients. The long and short axis diameters of tophi showed a different descending tendency. The decrease of sUA levels correlated with the decrease of long axis values, but not with the short. For tophi, there was no significant difference in the clearance rate between different time groups, while for DC sign and aggregates, significant differences were found by paired comparison. The GLOESS was significantly lower after 6 months of therapy. Bone erosion had not been improved after 1 year of ULT.Conclusion: The decrease in sUA levels was not completely parallel to the decrease in tophi size. ULT with different intensities should be formulated according to different crystal deposition conditions under US assessment. Subclinical inflammation was gradually controlled after 6 months of therapy and can be sensitively observed by US. Joint damage was relatively stable within 12 months of ULT.

A set of dedicated marker samples consisting of fine-grain graphite as substrate, an interlayer of 0.2–0.4 μm molybdenum (Mo) employed as marker, and a 5–10 μm thick carbon (C) marker layer on top were installed in Wendelstein 7-X (W7-X) to investigate locally the C erosion and deposition. In this study, a set of five individual marker tiles, installed in a vertical divertor element of the test divertor unit in half-module 50, and exposed to about 40 min of plasma predominant in the standard magnetic divertor configuration in the first year of divertor operation in W7-X (OP1.2A), were retrieved from the vessel for post-mortem analysis. Picosecond laser induced breakdown spectroscopy (ps-LIBS) was applied on these marker tiles in order to determine the local erosion/deposition pattern caused by plasma impact. The general erosion/deposition pattern on the vertical target element was studied with the aid of depth-profiling by Mo line emission due to ps-LIBS with the number of applied laser pulses (355 nm, 2.3 J cm−2, 35 ps) at one probing location. Several potential asymmetry factors which avoid a perfect layer-by-layer ablation process in the laser ablations are proposed and discussed when a rough layered structure sample with a rough surface is analysed by the ps-LIBS technique. Thereby, a simulation model was developed to correct the measurement error of the ps-LIBS method caused by the non-perfect rectangle profile of the applied laser beam. The depth resolution of the applied ps-LIBS system was determined by quantification of the laser ablation rates of the different layers and the C substrate which were measured utilising profilometry and cross comparison with the thicknesses of the C and Mo marker layers determined by a combined focused ion beam and scanning electron microscopy technique. For the first time, the erosion/deposition pattern on the vertical target was mapped and quantified by ps-LIBS technique. A relatively wide net erosion zone with a poloidal extend of about 200 mm was identified which can be correlated to the main particle interaction zone at the magnetic strike-line of the dominantly applied standard magnetic divertor configuration. At the position of peak erosion, not only 7.6 × 1019 C atoms/cm2 but also 2 × 1018 Mo atoms/cm2 which results can be extrapolated to total 15 × 1019 C atoms/cm2, were eroded due to plasma fuel particle (H, He) and impurity (O, C) ion impact.

By means of quantum tensor network calculations, we investigate the large Purcell effect experienced by an organic molecule placed in the vicinity of a plasmonic nanostructure. In particular, we consider a donor-{\pi} bridge-acceptor dye at the gap of two Ag nanospheres. Our theoretical approach allows for a realistic description of the continua of both molecular vibrations and optical nanocavity modes. We analyze both the exciton dynamics and the corresponding emission spectrum, showing that these magnitudes are not accurately represented by the simplified models used up to date. By disentangling the molecule coupling to radiative and non-radiative plasmonic modes, we also shed light into the quenching phenomenology taking place in the system.

Here, by conducting a systematic $^{89}$Y NMR study, we explore the nature of the magnetic ground state in a newly discovered iron-based superconductor YFe$_2$Ge$_2$. An incoherent-to-coherent crossover due to the Hund's coupling induced electronic correlation is revealed below the crossover temperature $T^*\sim 75\pm15\,\mathrm{K}$. During the electronic crossover, both the Knight shift ($K$) and the bulk magnetic susceptibility ($\chi$) exhibit a similar nonmonotonic temperature dependence, and a so-called Knight shift anomaly is also revealed by a careful $K$-$\chi$ analysis. Such an electronic crossover has been also observed in heavily hole-doped pnictide superconductors \emph{A}Fe$_2$As$_2$ (\emph{A} = K, Rb, and Cs), which is ascribed to the Hund's coupling induced electronic correlation. Below $T^*$, the spin-lattice relaxation rate divided by temperature $(1/T_1T)$ shows a similar suppression as the Knight shift, suggesting the absence of critical spin fluctuations. This seems to be in conflict with a predicted magnetic quantum critical point (QCP) near this system. However, considering a $\mathbf{q}$-dependent "filter" effect on the transferred hyperfine field, a predominant spin fluctuation with A-type correlation would be perfectly filtered out at $^{89}$Y sites, which is consistent with the recent inelastic neutron scattering results. Therefore, our results confirm that, through a Hund's coupling induced electronic crossover, the magnetic ground state of YFe$_2$Ge$_2$ becomes close to an itinerant magnetic QCP with A-type spin fluctuations. In addition, the possible superconducting pairing due to spin fluctuations is also discussed., Comment: 6 pages, 4 figures, supplementary information available upon request

Wendelstein 7-X (W7-X) is an optimized stellarator with a 3-dimensional five-fold modular geometry. The plasma-wall-interaction (PWI) investigations in the complex 3D geometry of W7-X were carried out by in situ spectroscopic observations, exhaust gas analysis and post-mortem measurements on a large number of plasma-facing components extracted after campaigns. The investigations showed that the divertor strike line areas on the divertor targets appeared to be the major source of carbon impurities. After multistep erosion and deposition events, carbon was found to be deposited largely at the first wall components, with thick deposits of >1 μm on some baffle tiles, moderate deposits on toroidal closure tiles and thin deposits at the heat shield tiles and the outer wall panels. Some amount of the eroded carbon was pumped out via the vacuum pumps as volatile hydrocarbons and carbon oxides (CO, CO2) formed due to the chemical processes. Boron was introduced by three boronizations and one boron powder injection experiment. Thin boron-dominated layers were found on the inner heat shield and the outer wall panels, some boron was also found at the test divertor unit and in redeposited layers together with carbon. Local erosion/deposition and global migration processes were studied using field-line transport simulations, analytical estimations, 3D-WallDYN and ERO2.0 modeling in standard magnetic field configuration.

Background: Although high-density lipoprotein (HDL) and non-HDL cholesterol have opposite associations with coronary heart disease (CHD), multi-country reports of lipid trends only use total cholesterol (TC). Our aim was to compare trends in total, HDL and non-HDL cholesterol and total-to-HDL cholesterol ratio in Asian and Western countries.Methods: We pooled 458 population-based studies with 82.1 million participants in 23 Asian and Western countries. We estimated changes in mean total, HDL and non-HDL cholesterol, and mean total-to-HDL cholesterol ratio by country, sex and age group.Results: Since ~1980, mean TC increased in Asian countries. In Japan and South Korea, TC rise was due to rising HDL cholesterol, which increased by up to 0.17 mmol/L per decade in Japanese women; in China, it was due to rising non-HDL cholesterol. TC declined in Western countries, except in Polish men. The decline was largest in Finland and Norway, ~0.4 mmol/Lper decade. The decline in TC in most Western countries was the net effect of an increase in HDL cholesterol and a decline in non-HDL cholesterol, with the HDL cholesterol increase largest in New Zealand and Switzerland. Mean total-to-HDL cholesterol ratio declined in Japan, South Korea and most Western countries, by as much as ~0.7 per decade in Swiss men (equivalent to ~26% decline in CHD risk per decade). The ratio increased in China. Conclusions: HDL cholesterol has risen and total-to-HDL cholesterol ratio has declined in many Western countries, Japan and South Korea, with only weak correlation to changes in TC or non-HDL cholesterol.

© Copyright 2019 American Chemical Society. A central topic in single-atom catalysis is building strong interactions between single atoms and the support for stabilization. Herein we report the preparation of stabilized single-atom catalysts via a simultaneous self-reduction stabilization process at room temperature using ultrathin two-dimensional Ti 3-x C 2 T y MXene nanosheets characterized by abundant Ti-deficit vacancy defects and a high reducing capability. The single atoms therein form strong metal-carbon bonds with the Ti 3-x C 2 T y support and are therefore stabilized onto the sites previously occupied by Ti. Pt-based single-atom catalyst (SAC) Pt 1 /Ti 3-x C 2 T y offers a green route to utilizing greenhouse gas CO 2 , via the formylation of amines, as a C 1 source in organic synthesis. DFT calculations reveal that, compared to Pt nanoparticles, the single Pt atoms on Ti 3-x C 2 T y support feature partial positive charges and atomic dispersion, which helps to significantly decrease the adsorption energy and activation energy of silane, CO 2 , and aniline, thereby boosting catalytic performance. We believe that these results would open up new opportunities for the fabrication of SACs and the applications of MXenes in organic synthesis.

Sponsored search optimizes revenue and relevance, which is estimated by Revenue Per Mille (RPM). Existing sponsored search models are all based on traditional statistical models, which have poor RPM performance when queries follow a heavy-tailed distribution. Here, we propose an RPM-oriented Query Rewriting Framework (RQRF) which outputs related bid keywords that can yield high RPM. RQRF embeds both queries and bid keywords to vectors in the same implicit space, converting the rewriting probability between each query and keyword to the distance between the two vectors. For label construction, we propose an RPM-oriented sample construction method, labeling keywords based on whether or not they can lead to high RPM. Extensive experiments are conducted to evaluate performance of RQRF. In a one month large-scale real-world traffic of e-commerce sponsored search system, the proposed model significantly outperforms traditional baseline., Comment: 2 pages, 2 figures

Scene recognition model based on the DNN and game theory with its applications in human-robot interaction is proposed in this paper. The use of deep learning methods in the field of scene recognition is still in its infancy, but has become an important trend in the future. As the innovative idea of the paper, we propose the following novelties. (1) In this paper, the image registration problem is transformed into a problem of minimum energy in Markov Random Field to finalize the image pre-processing task. Game theory is used to find the optimal. (2) We select neighboring homogeneous sample features and the neighboring heterogeneous sample features for the extracted sample features to build a triple and modify the traditional neural network to propose the novel DNN for scene understanding. (3) The robot control is well combined to guide the robot vision for multiple tasks. The experiment is then conducted to validate the overall performance.

Context:Sex hormones may influence sex differences in cardiovascular disease (CVD). N-terminal pro-B-type natriuretic peptide (NT-proBNP), a predictor of CVD, is higher in women than men, which may relate to sex hormones. Objective:To evaluate whether total testosterone (T), bioavailable T, free T, estradiol, dehydroepiandrosterone (DHEA), and SHBG are associated with NT-proBNP. Design:Cohort study. Participants:Cross-sectional sample included 2371 postmenopausal women and 2688 men free of CVD, of which 2041 women and 2348 men were included longitudinally. Main Outcome Measures:NT-proBNP at baseline (2000 to 2002) and one or more repeat NT-proBNPs (through 2012). Analyses adjusted for CVD risk factors. Results:Women had higher NT-proBNP than men (median 79.9 vs 38.5 pg/mL). Cross-sectionally, higher bioavailable T, free T, DHEA, and lower SHBG levels were independently associated with lower NT-proBNP among both women and men (all P < 0.05). Higher total T in women and estradiol in men were also associated with lower NT-proBNP (both P < 0.05). Longitudinally, in women, higher total T, bioavailable T, free T, DHEA, and lower estradiol and SHBG were associated with greater 10-year increase in NT-proBNP (all P < 0.05). In men, higher free T and estradiol were associated with greater NT-proBNP increase (both P < 0.05). Conclusions:A more androgenic sex hormone pattern was inversely associated with NT-proBNP cross-sectionally and may contribute to sex differences in NT-proBNP. Longitudinally, a more androgenic sex hormone pattern was associated with greater increase in NT-proBNP in women, which may reflect a mechanism for CVD risk after menopause.

© 2018 Elsevier Ltd Soil contamination by heavy metals and metalloids has been a major concern to human health and environmental quality. While many remediation technologies have been tested at the bench scale, there have been only limited reports at the field scale. This paper aimed to provide a comprehensive overview on the field applications of various soil remediation technologies performed over the last decade or so. Under the general categories of physical, chemical, and biological approaches, ten remediation techniques were critically reviewed. The technical feasibility and economic effectiveness were evaluated, and the pros and cons were appraised. In addition, attention was placed to the environmental impacts of the remediation practices and long-term stability of the contaminants, which should be taken into account in the establishment of remediation goals and environmental criteria. Moreover, key knowledge gaps and practical challenges are identified.

Previous studies stressed the importance to filter out nonessential in-text citations before assigning weight in order to improve the accuracy and effectiveness of frequency-weighted citation analysis, and proposed and tested filtering nonessential citations by their in-text frequency. The present study explores an alternative filtering method with a likely better accuracy rate, i.e., removing introductory and background sections, to see what a difference it makes in ranking authors by citations. We examined the correlations and rank changes of individual authors between rankings by traditional citation counting and those by in-text frequency-weighted citation counting before and after the filtration. We found that removing introductory and background sections alone doesn’t make much of a difference in author rankings, but it makes a huge difference when combined with frequency-weighted counting. This combination appears to make essential citations stand out, as shown by it ranking biomedicine-focused authors higher and bibliometrics-focused ones lower, except those who represent methods/tools/indicators/guidelines that were directly useful for studies of biomedical fields that apply bibliometrics. Interestingly, the present study also finds that the filtering and the weighing appear to have different effects as indicated by medium correlations between rankings by each separately. This difference warrants future detailed studies to identify the separate factors involved.

The task of event extraction has long been investigated in a supervised learning paradigm, which is bound by the number and the quality of the training instances. Existing training data must be manually generated through a combination of expert domain knowledge and extensive human involvement. However, due to drastic efforts required in annotating text, the resultant datasets are usually small, which severally affects the quality of the learned model, making it hard to generalize. Our work develops an automatic approach for generating training data for event extraction. Our approach allows us to scale up event extraction training instances from thousands to hundreds of thousands, and it does this at a much lower cost than a manual approach. We achieve this by employing distant supervision to automatically create event annotations from unlabelled text using existing structured knowledge bases or tables.We then develop a neural network model with post inference to transfer the knowledge extracted from structured knowledge bases to automatically annotate typed events with corresponding arguments in text.We evaluate our approach by using the knowledge extracted from Freebase to label texts from Wikipedia articles. Experimental results show that our approach can generate a large number of high quality training instances. We show that this large volume of training data not only leads to a better event extractor, but also allows us to detect multiple typed events., Comment: 8 pages, accepted by AAAI 2018

In low-dimensional metallic systems, lattice distortion is usually coupled to a density-wave-like electronic instability due to Fermi surface nesting (FSN) and strong electron-phonon coupling. However, the ordering of other electronic degrees of freedom can also occur simultaneously with the lattice distortion thus challenges the aforementioned prevailing scenario. Recently, a hidden electronic reconstruction beyond FSN was revealed in a layered metallic compound BaTi2As2O below the structural transition temperature Ts ~ 200 K. The nature of this hidden electronic instability is under strong debate. Here, by measuring the local orbital polarization through 75As nuclear magnetic resonance experiment, we observe a p-d bond order between Ti and As atoms in BaTi2As2O single crystal. Below Ts, the bond order breaks both rotational and translational symmetry of the lattice. Meanwhile, the spin-lattice relaxation measurement indicates a substantial loss of density of states and an enhanced spin fluctuation in the bond-order state. Further first-principles calculations suggest that the mechanism of the bond order is due to the coupling of lattice and nematic instabilities. Our results strongly support a bond-order driven electronic reconstruction in BaTi2As2O and shed light on the mechanism of superconductivity in this family., Comment: 7 pages, 4 figures, supplemental material available upon request

© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim Rechargeable lithium batteries have attracted great attention as next generation power systems for electric vehicles (EVs). Lithium ion batteries, lithium–sulfur batteries, and lithium–oxygen batteries are all suitable to be the power systems for next generation EVs, but their power densities and cycling performance still need to be improved to match the requirements of practical EVs. Thus, rational design and controllable synthesis of electrode materials with unique microstructure and outstanding electrochemical performance are crucially desired. Porous carbon-based composites have many advantages for energy storage and conversion owing to their unique properties, including high electronic conductivity, high structural stability, high specific surface area, large pore volume for efficient electrolyte flux, and high reactive electrode materials with controllable size confined by porous carbon frameworks. Therefore, porous carbon composites exhibit excellent performance as electrode materials for lithium ion batteries, lithium–sulfur batteries, and lithium–oxygen batteries. In this review, we summarize research progress on porous carbon composites with enhanced performance for rechargeable lithium batteries. We present the detailed synthesis, physical and chemical properties, and the innovation and significance of porous carbon composites for lithium ion batteries, lithium–sulfur batteries, and lithium–oxygen batteries. Finally, we conclude the perspectives and critical challenges that need to be addressed for the commercialization of rechargeable lithium batteries.

We review the evolution of late Cenozoic magmatism in the NE Japan arc, and examine the relationship between the magmatism and the crust–mantle structure. Recent studies reveal secular changes in the mode of magmatic activity, the magma plumbing system, erupted volumes and magmatic composition associated with the evolution of crust–mantle structures related to the tectonic evolution of the arc. The evolution of Cenozoic magmatism in the arc can be divided into three periods: the continental margin (66–21 Ma), the back-arc basin (21– 13.5 Ma) and the island-arc period (13.5–0 Ma). Magmatic evolution in the back-arc basin and the island-arc periods appears to be related to the 2D to 3D change in the convection pattern of the mantle wedge related to the asthenosphere upwelling and subsequent cooling of the mantle. Geodynamic changes in the mantle caused back-arc basin basalt eruptions during the back-arc basin opening (basalt phase) followed by crustal heating and re-melting, which generated many felsic plutons and calderas (rhyolite/granite phase) in the early stage of the island-arc period. This was followed by crustal cooling and strong compression, which ensured vent connections and mixing between deeper mafic and shallower felsic magmas, erupting large volumes of Quaternary andesites (andesite phase). Gold Open Access: This article is published under the terms of the CC-BY 3.0 license. The NE Japan arc is a typical island arc associated with a cold subduction zone. It is one of the most well-known island arcs on Earth and provides a useful model for our understanding of how subduction zones produce magmas, including andesites. The NE Japan arc is related to the westward From: Gomez-Tuena, A., Straub, S. M. & Zellmer, G. F. (eds) Orogenic Andesites and Crustal Growth. Geological Society, London, Special Publications, 385, http://dx.doi.org/10.1144/SP385.15 # 2013 The Authors. Publishing disclaimer: www.geolsoc.org.uk/pub_ethics subduction of the Pacific plate beneath the Eurasian plate at a rate of 8–9 cm a with a relatively shallow dip angle of about 308 (DeMets 1992). Integrated study of geology, petrology and geophysics is valuable for revealing processes such as the formation of crust–mantle structures, the origin of the magmas and the geodynamic evolution of the subduction zone system (Iwamori & Zhao 2000; Stern 2002; van Keken 2003; Sato et al. 2004; Hasegawa et al. 2005; Yoshida et al. 2005; Kimura & Yoshida 2006; Yoshida 2009). Secular changes in the late Cenozoic NE Japan magmatic arc are key factors involved in the arc’s evolution, and changes in (1) the mode of magmatic activity, (2) the magma plumbing system, (3) the erupted volume and (4) the magmatic composition have all been investigated in relation to the tectonic history of the arc (Sato 1994; Yoshida et al. 1995; Umeda et al. 1999; Yoshida 2001, 2009; Yamada & Yoshida 2011; Yamada et al. 2012). The evolution of late Cenozoic magmatism in the NE Japan arc can be divided into three major periods – (1) the continental margin (66–21 Ma), (2) the back-arc basin (21–13.5 Ma) and (3) the island-arc (13.5–0 Ma) periods (Ohguchi et al. 1989; Yoshida et al. 1995; Yoshida 2001) – all of which are related to the development of magmatism in the subduction zone, including the back-arc basin opening (Sato 1994; Yoshida et al. 1995; Yamada et al. 2012). The continental margin period is characterized by mafic to felsic subaerial volcanism, with thick ignimbrites in the continental rift systems. The back-arc basin period is characterized by submarine bimodal volcanism under extensional tectonics, and the island-arc period is characterized by felsic caldera-forming events followed by andesitic stratovolcano-forming volcanism under neutral to compressional stress fields (Ohguchi et al. 1989; Sato & Yoshida 1993; Sato 1994; Yoshida 2001). The characteristic magma of subduction zones is andesite, although it is usually associated with basaltic to rhyolitic magmas (Gill 1981). Calcalkaline andesites are typical, particularly in mature arcs constructed on a thick crust (Kuno 1968, and references therein). The mafic magmas derived from the mantle wedge may be underplated and stagnating around the Moho beneath the thick crust, especially under horizontal compression. Differentiated magmas can stagnate at levels of neutral buoyancy in the crust (Ryan 1987; Takada 1989, and references therein). There are many models for andesite genesis in the subduction zone of Japan, including differentiation by fractional crystallization of mafic magmas (low-K tholeiite from Adatara volcano: Fujinawa 1988), magma mixing/ co-mingling between mafic and felsic end-members (low-K andesite: Toya et al. 2005; medium-K andesite: Ban & Yamamoto 2002; Hirotani & Ban 2006; high-K andesite: Inoue & Ban 1996), assimilation and fractional crystallization (DePaolo 1985) or crustal contamination (Kobayashi & Nakamura 2001; Hirotani et al. 2009), re-melting of lowercrustal hydrous mafic rocks (Takahashi 1986; Kimura et al. 2001, 2002) and melting of the mantle wedge or slab (high-magnesian andesite and adakite: Hanyu et al. 2006; Yamamoto & Hoang 2009; Hoang et al. 2009). Possible processes which could produce the felsic end-member of mixed magmas are: the fractional crystallization from mafic end-member magmas (Kanisawa & Yoshida 1989; Miyagi et al. 2012); the melt extraction or re-melting of partially or fully crystallized precursory mafic magmas in the upper to middle crust (Hildreth & Wilson 2007; Hirotani et al. 2009; Miyagi et al. 2012); the partial re-melting of mafic end-member material solidified to become hornblende gabbro or amphibolite (Feeley et al. 1998; Hansen et al. 2002; Toya et al. 2005); and the partial re-melting of crustal basement rocks (Shuto et al. 2006, 2008). All of these crustal processes forming calc-alkaline andesites work effectively in mature arcs on thick crust. To understand the origin of island-arc andesites, it is very important to know in detail the structure of the magma plumbing system from the upper mantle through the entire crust. Moreover, the observation that andesite-dominated volcanism may occur only at specific stages of the evolution of a subduction zone justifies a comprehensive study of the evolutional history of the NE Japan arc and the crust– mantle structures throughout its evolution. The purpose of this paper is to review the evolutionary history of late Cenozoic magmatism in the arc, including its thermal and tectonic evolution, and to examine the relationship between magmatism and the crust–mantle structures at each evolutionary stage. Tectonic and magmatic evolution

Objective To study the postmortem distribution of Bromadiolone and its metabolite-Benzylideneacetone in dogs and provide an experimental evidence for the sampling of Bromadiolone poisoning cases. Methods The dogs were given 2LD50 and 4LD50 Bromadiolone by intragastric administration. Anatomy was conducted immediately after death and samples of body fluids and viscera (heart blood; peripheral blood, bile, urine, heart, liver, spleen, lung, kidney, brain, urinary bladder, left leg muscle, stomach, stomach contents, pancreas) were collected and detected after the dogs poisoning death. The Bromadiolon and its metabolite-Benzylideneacetone contents in samples were analyzed by GC/MS. Results Hemorrhagic symptoms came out at 3d after Bromadiolone delivery and deaths occurred at (178.40±20.94)h after intoxication. The postmortem distribution of Bromadiolon and its metabolite-Benzylideneacetone in dogs was as following: 2LD50 Bromadiolon: bile>urine, liver, heart, kidney>heart blood, peripheral blood, spleen, lung and so on. Benzylideneacetone: the content in bile, urine, heart blood, peripheral blood, lung, stomach contents are higher. 4LD50 Bromadiolon: bile, urine>liver, peripheral blood>heart blood, stomach contents and others. Benzylideneacetone: contents in bile, urine and lung are higher. Conclusion The postmortem distribution of Bromadiolon and its metabolite- Benzylideneacetone in dogs is uneven, contents in bile, urine, liver, heart blood and peripheral blood are higher, which are suggested for forensic toxicological analysis in Bromadiolon poisonig case.

There has been continuously increasing interest in applying neural networks (NNs) to identification and adaptive control of practical systems that are characterized by nonlinearity, uncertainty, communication constraints, and complexity. The past few years have witnessed a variety of new developments in NN-based approaches for behavior learning, information processing, autonomous decision, and system control. Biologically inspired NN structures can significantly enhance the capabilities of information processing, control, and computational performance. New discoveries in neurocognitive psychology, sociology, and elsewhere reveal new neurological learning structures with more powerful capabilities in complex problem solving and fast decision in dynamic environments. The goal of the special issue is to consolidate recent new developments in NN structures for signal processing, autonomous decision, and adaptive control with application to complex systems. It includes contributions from a wide range of research aspects relevant to the topic, ranging from neural computing, adaptive control, cooperative control, autonomous decision systems, mathematical and computational models, neuropsychology decision and control, algorithms and simulation, to applications and/or case studies. This issue contains 24 papers and the contents of which are summarized below.

A series of nitrogen-doped zinc oxide (ZnO:N) thin films were grown on c-plane sapphire substrate by plasma-assisted molecular beam epitaxy. Due to the large number of donor defects, the samples grown in the continuous zinc-rich atmosphere showed n-type conductivity. In order to suppress the compensation effect caused by donor defects, by periodically supplying oxygen during the growth and then alternating the growth atmosphere in the growth process, the conflict between nitrogen doping level and intrinsic defects was relaxed partly. Compared to the case without supplying oxygen, the crystal quality of the thin films was improved. And the photoluminescence measurements showed that the oxygen vacancy and the zinc interstitial defects in the thin films were suppressed significantly. The samples showed a high repeatability of p-type conductivity. The carrier concentration of the samples grown by alternating the growth atmosphere can reach 1016 cm-3. This may be an effective method to realize the p-type doped ZnO.

A stable and repeatable p-type ZnO is the key to realize the practical applications of photoelectric devices. Nitrogen has been considered as a possible acceptor dopant for p-type ZnO for a long time. However, the low solubility of nitrogen acceptor at oxygen site in ZnO is considered to be one of the main obstacles for p-type ZnO. In this paper, B/N co-doped p-type ZnO thin films were grown on sapphire substrate by plasma-assisted molecular beam epitaxy. The effect of boron on the nitrogen doping was studied by comparing with the single nitrogen doped thin films. X-ray photoelectron spectroscopy demonstrated there exists boron and B-N bond in the ZnO thin film. Compared to the single N-doped sample, B/N codoped samples present much higher carrier density. And the ZnO:(B, N) thin films show stable p-type conduction in two years. It is attributed to the increase of solubility of nitrogen acceptor. It benefits from the strong B-N bonding and weak donor character of boron at zinc site. Boron will not bring strong compensation for acceptors. It suggests that boron is a good co-doping candidate for nitrogen doped ZnO thin films.

ZnO thin film that grows at low temperature benefits the sharp interface in heterostructure and enough doping level of acceptor in ZnO. In general, the smooth growth can be easily obtained at temperature higher than 600C, but difficult in the case of low growth temperature. In this work, by controlling the growth ambient and growth rate, a series of ZnO thin films with smooth surface were grown on a-plane sapphire substrates at 450C by the plasma-assisted molecular beam epitaxy (P-MBE). The growth was performed in oxygen-rich atmosphere. To tune the growth rate, the zinc flux was changed by varying the K-cell temperature of zinc source (Tk) while keeping oxygen flux constant. The growth rate of the samples is only 40~100 nm/h. Scanning electron microscopy (SEM) images indicate that there are lots of irregular grains on the thin film surface at high zinc flux, and most of the grains disappear gradually from the surface with the zinc flux decreasing. This smooth growth with low growth rate is conducive to control finely the layer thickness and smoothness in the multilayer structure. The root mean square (RMS) surface roughness is only 0.238 nm, measured by atomic force microscopy (AFM). The smooth surface benefits from the low growth rate and small sub-lattice mismatch between the c-plane-ZnO thin film and a-plane-sapphire substrate.

The DNA methyltransferase Dnmt3a has high expression in terminally differentiated macrophages; however, its role in innate immunity remains unknown. Here we report that deficiency in Dnmt3a selectively impaired the production of type I interferons triggered by pattern-recognition receptors (PRRs), but not that of the proinflammatory cytokines TNF and IL-6. Dnmt3a-deficient mice exhibited enhanced susceptibility to viral challenge. Dnmt3a did not directly regulate the transcription of genes encoding type I interferons; instead, it increased the production of type I interferons through an epigenetic mechanism by maintaining high expression of the histone deacetylase HDAC9. In turn, HDAC9 directly maintained the deacetylation status of the key PRR signaling molecule TBK1 and enhanced its kinase activity. Our data add mechanistic insight into the crosstalk between epigenetic modifications and post-translational modifications in the regulation of PRR signaling and activation of antiviral innate immune responses.

Editors: J. B. Trobalon & V. D. Chamizo, The present volume is a homage to Professor N. J. Mackintosh (1935-2015), an outstanding academic and a dear friend and colleague to many of the participants, as a final tribute after being awarded the Gold Medal by the University of Barcelona (November 2015). Although the topics of the chapters in this book have been freely chosen by the authors (Geoffrey Hall, Anthony Dickinson, John M. Pearce, Ian McLaren, Paula J. Durlach, Irina Baetu to mention a few), as well as the type of contribution (either an empirical paper, a review, or an application), they concentrate on issues that are crucial to the understanding of the basic principles of attention and associative learning (both Pavlovian and instrumental), in humans and also in other animals. In other words, to unravel the nature of conditioning, with a special emphasis on perceptual learning. The final chapter, by Gabriel Ruiz, addresses the importance of the contribution by Professor Mackintosh to the renaissance of animal psychology in Spain, where the Spanish Society for Comparative Psychology (SEPC in Spanish) played a relevant role.

Recently there have been increasingly hot debates on whether a bulk Fermi surface of charge-neutral excitations exists in the topological Kondo insulator SmB6. To unambiguously resolve this issue, we performed the low-temperature thermal conductivity measurements of a high-quality SmB6 single crystal down to 0.1 K and up to 14.5 T. Our experiments show that the residual linear term of thermal conductivity at zero field is zero, within the experimental accuracy. Furthermore, the thermal conductivity is insensitive to magnetic field up to 14.5 T. These results exclude the existence of fermionic charge-neutral excitations in bulk SmB6, such as scalar Majorana fermions or spinons, thus put a strong constraint on the explanation of the quantum oscillations observed in SmB6., Comment: 5 pages, 3 figures

ZnO nanorods were grown on a thin Au layer by hydrothermal method. In the photoluminescence (PL) spectrum, a strong UV emission and a weak deep-level emission were observed. The optically pumped lasing could be detected in ZnO nanorods. The integrated intensity of the spectra increases nonlinearly with the excitation power density, which indicated there exists the stimulated emission. And multi-mode emission peaks emerged when the excitation power density exceeded the threshold. Using Au layer as mirror, the light loss was further decreased, which resulted in the decrease of the laser threshold to 31.2 kW/cm2.

Copyright © 2015, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.We consider dual-role exchange markets, where traders can offer to both buy and sell the same commodity in the exchange but, if they transact, they can only be either a buyer or a seller, which is determined by the market mechanism. To design desirable mechanisms for such exchanges, we show that existing solutions may not be incentive compatible, and more importantly, cause the market maker to suffer a significant deficit. Hence, to combat this problem, following McAfees trade reduction approach, we propose a new trade reduction mechanism, called balanced trade reduction, that is incentive compatible and also provides flexible trade-offs between efficiency and deficit.

Unconventional superconductivity from heavy fermion (HF) is always observed in f-electron systems, in which Kondo physics between localized f-electrons and itinerant electrons plays an essential role. Whether HF superconductivity could be achieved in other systems without f electrons, especially for d-electron systems, is still elusive. Here, we experimentally study the origin of d-electron HF behavior in iron-based superconductors (FeSCs) AFe2As2 (A = K, Rb, Cs). Nuclear magnetic resonance on 75As reveals a universal coherent-incoherent crossover with a characteristic temperature T*. Below T*, a so-called 'Knight shift anomaly' is first observed in FeSCs, which exhibits a scaling behavior similar to f-electron HF materials. Furthermore, the scaling rule also regulates the manifestation of magnetic fluctuation. These results undoubtedly support an emergent Kondo scenario for the d-electron HF behavior, which suggests the AFe2As2 (A = K, Rb, Cs) as the first material realization of d-electron HF superconductors., Comment: 15 pages, 4 figures, including supplementary information with 9 figures

Limited population-based cancer registry data available in China until now has hampered efforts to inform cancer control policy. Following extensive efforts to improve the systematic cancer surveillance in this country, we report on the largest pooled analysis of cancer survival data in China to date. Of 21 population-based cancer registries, data from 17 registries (n = 138,852 cancer records) were included in the final analysis. Cases were diagnosed in 2003-2005 and followed until the end of 2010. Age-standardized relative survival was calculated using region-specific life tables for all cancers combined and 26 individual cancers. Estimates were further stratified by sex and geographical area. The age-standardized 5-year relative survival for all cancers was 30.9% (95% confidence intervals: 30.6%-31.2%). Female breast cancer had high survival (73.0%) followed by cancers of the colorectum (47.2%), stomach (27.4%), esophagus (20.9%), with lung and liver cancer having poor survival (16.1% and 10.1%), respectively. Survival for women was generally higher than for men. Survival for rural patients was about half that of their urban counterparts for all cancers combined (21.8% vs. 39.5%); the pattern was similar for individual major cancers except esophageal cancer. The poor population survival rates in China emphasize the urgent need for government policy changes and investment to improve health services. While the causes for the striking urban-rural disparities observed are not fully understood, increasing access of health service in rural areas and providing basic health-care to the disadvantaged populations will be essential for reducing this disparity in the future.

Summary Background Hepatitis-related liver diseases are a leading cause of mortality and morbidity among people with HIV/AIDS taking combination antiretroviral therapy. We assessed the effect of hepatitis B virus (HBV) and hepatitis C virus (HCV) co-infection on HIV outcomes in patients in China. Methods We did a nationwide retrospective observational cohort study with data from the China National Free Antiretroviral Treatment Program from 2010–11. Patients older than 18 years starting standard antiretroviral therapy for HIV who had tested positive for HBV and HCV were followed up to Dec 31, 2012. We used Kaplan-Meier analysis and Cox proportional hazard models to evaluate survival, and logistic regression models to estimate virological failure, immunological response, and retention in care. Findings 33 861 patients with HIV met eligibility criteria. 2958 (8·7%) participants had HBV co-infection, 6149 (18·2%) had HCV co-infection, and 1114 (3·3%) had triple infection. All-cause mortality was higher in participants with triple infection (adjusted hazard ratio 1·90, 95% CI 1·53–2·37) and HCV co-infection (1·46, 1·25–1·70) than in those with HIV only, but not in those with HBV co-infection (1·06, 0·89–1·26). People with triple infection were also more likely to have virological failure (adjusted odds ratio [OR] 1·26, 95% CI 1·02–1·56) than were those with HIV only, whereas the difference was not significant for those with HBV co-infection (0·93, 0·80–1·10) or HCV co-infection (1·10, 0·97–1·26). No co-infection was significantly associated with a difference in CD4 cell count after 1 year of treatment. Loss to follow-up was more common among participants with triple infection (OR 1·37, 95% CI 1·16–1·62) and HCV co-infection (1·30, 1·17–1·45), but not HBV co-infection (0·93, 0·82–1·05), than among those with HIV only. Interpretation Screening for viral hepatitis is important in individuals diagnosed as HIV positive. Effective management for viral hepatitis should be integrated into HIV treatment programmes. Long-term data are needed about the effect of hepatitis co-infection on HIV disease progression. Funding The National Center for AIDS/STD Control and Prevention, China Center for Disease Control and Prevention.

We report a general emulsion soft-template method to synthesize porous graphene foams for multi-functional applications, including lithium-oxygen batteries and oil-adsorption. Multiple micro-emulsions and micelles were employed to produce three-dimensional porous graphene with well-tailored inter-architecture for the first time. Detailed mechanism study reveals that specific interfacial interactions, such as π-π interaction, hydrophobic affinity or electrostatic interaction, are vital for the formation of porous graphene materials. When applied as cathode materials in lithium-oxygen batteries, the porous graphene foams exhibited good catalytic activity. Besides, the porous graphene materials also demonstrated the capability for oil adsorption with a high efficiency. This journal is © the Partner Organisations 2014.

FeSe-derived superconductors show some unique behaviors relative to iron-pnictide superconductors, which are very helpful to understand the mechanism of superconductivity in high-Tc iron-based superconductors. The low-energy electronic structure of the heavily electron-doped AxFe2Se2 (A=K, Rb, Cs) demonstrates that interband scattering or Fermi surface nesting is not a necessary ingredient for the unconventional superconductivity in iron-based superconductors. The superconducting transition temperature (Tc) in the one-unit-cell FeSe on SrTiO3 substrate can reach as high as ~65 K, largely transcending the bulk Tc of all known iron-based superconductors. However, in the case of AxFe2Se2, the inter-grown antiferromagnetic insulating phase makes it difficult to study the underlying physics. Superconductors of alkali metal ions and NH3 molecules or organic-molecules intercalated FeSe and single layer or thin film FeSe on SrTiO3 substrate are extremely air-sensitive, which prevents the further investigation of their physical properties. Therefore, it is urgent to find a stable and accessible FeSe-derived superconductor for physical property measurements so as to study the underlying mechanism of superconductivity. Here, we report the air-stable superconductor (Li0.8Fe0.2)OHFeSe with high temperature superconductivity at ~40 K synthesized by a novel hydrothermal method. The crystal structure is unambiguously determined by the combination of X-ray and neutron powder diffraction and nuclear magnetic resonance. It is also found that an antiferromagnetic order coexists with superconductivity in such new FeSe-derived superconductor. This novel synthetic route opens a new avenue for exploring other superconductors in the related systems. The combination of different structure characterization techniques helps to complementarily determine and understand the details of the complicated structures.