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[Display omitted] The emerging S-scheme heterojunction shows a particular superiority in enhancing the efficiency of charge separation in photocatalyst. Herein, a Ni 11 (HPO 3) 8 (OH) 6 /CdS heterojunctions (NiPO/CdS) are constructed for the first time by loading open framework structure NiPO on the surface of CdS nanoparticles (CdS NPs). The built-in electric field generated at the interface promotes the directional migration of photogenerated electrons from NiPO to CdS. This S-scheme pathway achieves a strong redox capacity and efficient carrier separation. More importantly, the unique triangular and hexagonal channels of NiPO facilitate the exposure of CdS active sites for proton adsorption, H 2 production and escape. The hydrogen evolution rate of NiPO/CdS is 39 mmol g−1 h−1 under visible light irradiation, which is 6.5 times higher than that of pure CdS. The NiPO/CdS heterojunction also exhibits remarkable long-term stability. This study provides a new strategy for the ingenious design of S-scheme photocatalysts with excellent photocatalytic performance. [ABSTRACT FROM AUTHOR]

The objective of this study was to assess the role of NETs in BPD of hyperoxia-induced rat model and the effect of heparin on alveolarization and vascular development in BPD. The neonatal rats exposed to 90% oxygen continuously for 7 days to mimic BPD, meanwhile, the rats were injected by different doses of histones to evaluate the impact on lung injury. The newborn rats exposed to hyperoxia were injected by different doses of heparin (250 U/kg, 500 U/kg) or anti-H4 antibody to evaluate the effect of heparin. Histones and hyperoxia impaired alveolarization with the increase of mean linear intercept (MLI) and the decrease of radial alveolar count (RAC), decreased lung angiogenesis with the decrease expression of VEGF, and increased the expression of NETs, histones and pro-inflammatory factor. However, low dose heparin (250U/kg) administration enhanced survival, improved alveolarization and vascular development in hyperoxia-induced BPD, as well as reduced expression of NETs, histones and pro-inflammatory factor. We concluded that heparin improves alveolarization and vascularization in BPD by inhibiting NETs. • We found heparin improves alveolarization and vascularization in BPD by inhibiting NETs. • Low dose heparin 250 U/kg alleviated overexpression of NETs, improved alveolarization and vascularization arrested caused by hyperoxia. • Treatment with low dose heparin 250 U/kg would not increasing risk of alveolar capillary bleeding. [ABSTRACT FROM AUTHOR]

Compressible and flexible supercapacitors have aroused enormous interest of many scientific researchers for potential applications in wearable electronic products. However, the design and construction of the electrode with superior mechanical as well as electrical properties still face a lot of challenges. In present work, melamine foam/polypyrrole (MF/PPy) electrode with high deformation-tolerance and excellent electrochemical performance is prepared by in-situ interfacial polymerization of polypyrrole on commercial melamine foam, where PPy nanoparticles with size of 700 nm are uniformly anchored on the MF skeletons. The electrochemical characterizations show that the electrode exhibits excellent specific area capacitance of 2.685 F cm−2 at 2 mA cm−2 and good cyclic stability with more than 80% of capacitance remained after 3000 cycles. Furthermore, a symmetrical aqueous supercapacitor is assembled and exhibits an excellent energy density up to 75.95 μWh cm−2 at the power density of 5.82 mW cm−2 and excellent cycling stability as the current density increases by 10 times. Even under a high strain of 70%, about 95.76% of the initial capacitance is retained after 500 consecutive compressions. These outstanding performances enable the MF/PPy composite a promising candidate for potential applications in compressible and flexible electrochemical energy storage devices. [ABSTRACT FROM AUTHOR]

Biomedical relation extraction can automatically extract high-quality biomedical relations from biomedical texts, which is a vital step for the mining of biomedical knowledge hidden in the literature. Recurrent neural networks (RNNs) and convolutional neural networks (CNNs) are two major neural network models for biomedical relation extraction. Neural network-based methods for biomedical relation extraction typically focus on the sentence sequence and employ RNNs or CNNs to learn the latent features from sentence sequences separately. However, RNNs and CNNs have their own advantages for biomedical relation extraction. Combining RNNs and CNNs may improve biomedical relation extraction. In this paper, we present a hybrid model for the extraction of biomedical relations that combines RNNs and CNNs. First, the shortest dependency path (SDP) is generated based on the dependency graph of the candidate sentence. To make full use of the SDP, we divide the SDP into a dependency word sequence and a relation sequence. Then, RNNs and CNNs are employed to automatically learn the features from the sentence sequence and the dependency sequences, respectively. Finally, the output features of the RNNs and CNNs are combined to detect and extract biomedical relations. We evaluate our hybrid model using five public (protein-protein interaction) PPI corpora and a (drug-drug interaction) DDI corpus. The experimental results suggest that the advantages of RNNs and CNNs in biomedical relation extraction are complementary. Combining RNNs and CNNs can effectively boost biomedical relation extraction performance. [ABSTRACT FROM AUTHOR]

The impact of particle size and internal grain boundaries of Beta zeolites was investigated in n -pentane isomerization over bifunctional Pt/Beta catalysts, by comparing the catalytic performance of four as-synthesized Pt/Beta samples that possess an identical Pt loading (0.5 wt%), but use four distinct Beta zeolites. Three of them contain polycrystalline zeolites, consisting of nano-sized crystals with a similar size of 9–13 nm, but having different average particle sizes (i.e., 1340, 830, and 250 nm) and numerous internal grain boundaries, as found via high-resolution transmission electron microscopy. The last catalyst contains single-crystalline zeolite, with an average particle size of 225 nm, and no observed internal grain boundaries. At low reaction temperature (<578 K), the particle size and internal grain boundaries do not change the apparent activity, because activity is controlled by reaction on the acid sites of the zeolite. At high reaction temperature (>614 K), a large particle size and the presence of internal grain boundaries significantly reduce the apparent activity, because of the extended diffusion path and additional diffusion barriers, which are probably caused by a mismatch in micropore alignment and gas-zeolite interfaces at these grain boundaries. Due to the small particle size and absence of internal grain boundaries, the observed activity for single-crystalline Beta can be 60–212% higher than for polycrystalline counterparts, even though it possesses a much weaker intrinsic acidity. This shows, remarkably, that single-crystalline zeolites with less internal grain boundaries can achieve a much higher catalytic activity. [ABSTRACT FROM AUTHOR]

Inhibition of Wnt/β-catenin signaling facilitates the derivation of mouse epiblast stem cells (EpiSCs), as well as dramatically promotes EpiSC self-renewal. The specific mechanism, however, is still unclear. Here, we showed that IWR1, a Wnt/β-catenin signaling inhibitor, allowed long-term self-renewal of EpiSCs in serum medium in combination with ROCK inhibitor Y27632. Through transcriptome data analysis, we arrived at a set of candidate transcription factors induced by IWR1. Among these, Forkhead box D3 (Foxd3) was most abundant. Forced expression of Foxd3 could recapitulate the self-renewal-promoting effect of IWR1 in EpiSCs. Conversely, knockdown of Foxd3 profoundly compromised responsiveness to IWR1, causing extinction of pluripotency markers and emergence of differentiation phenotype. Foxd3 thus is necessary and sufficient to mediate self-renewal downstream of Wnt/β-catenin signaling inhibitor. These findings highlight an important role for Foxd3 in regulating EpiSCs and will expand current understanding of the primed pluripotency. [ABSTRACT FROM AUTHOR]

Sepsis is defined as a life-threatening organ dysfunction caused by dysregulation of the host response to infection. There is still a lack of specific treatment for sepsis. Here, we report that Fibroblast growth factor-2 (FGF2) can reduce the mortality of sepsis by ameliorating the coagulation abnormalities. FGF2 was intraperitoneally injected into septic mice induced by lipopolysaccharide (LPS) and then assessed for coagulation response, organ damage and survival. RAW264.7 cells with or without FGF2 pretreating were exposed to LPS, and then changes in coagulation related factors expression and signaling were tested. The findings showed that intraperitoneal injection of FGF2 inhibited coagulation activity, reduced lung and liver damage, and increased survival in septic mice. In RAW264.7 cells, LPS upregulated the expression of tissue factor (TF) and plasminogen activator inhibitor-1 (PAI-1); however, pretreatment with FGF2 prevented this upregulation, while FGF2 knockdown exacerbated TF upregulation. Moreover, FGF2 suppressing the AKT/mTOR/S6K1 signaling pathway in septic mice and RAW264.7 cells stimulated by LPS. This study revealed a therapeutic role of FGF2 in ameliorating the coagulation abnormalities during sepsis. • Intraperitoneal injection of FGF2 ameliorated the coagulation abnormalities in septic mice. • FGF2 pretreatment significantly reduced the expression of TF and PAI-1 induced by LPS in mice and macrophages. • FGF2 suppressing the AKT/mTOR/S6K1 signaling pathway in septic mice and RAW264.7 cells stimulated by LPS. [ABSTRACT FROM AUTHOR]

The outcome of cardiac arrest is worse when there is fever after spontaneous circulation is restored (ROSC). The purpose of this study was to investigate the mechanism of post-ROSC cardiac dysfunction after hyperthermia treatment and the effects of temperature control. Twenty-four male Bama minipigs were randomized into 3 groups (8 per group): CPR + controlled normothermia (CN), CPR + hyperthermia (HT), and CPR + therapeutic mild hypothermia (TMH). Defibrillation was given to pigs with ventricular fibrillation after 8 min of untreated fibrillation. Subsequently, these animals received the post-ROSC treatments of hyperthermia (38 °C), controlled normothermia (37 °C) or hypothermia (33 °C) according to the groups. Hemodynamic parameters, left ventricular ejection fraction, blood samples and myocardial tissues were assessed. At 24 h after the post-ROSC treatments, the pigs treated with hyperthermia showed increments in heart rate and plasma cardiac troponin I, and decreases in mean arterial pressure, cardiac index, and left ventricular ejection fraction, compared to those with the controlled normothermia pigs. However, the deterioration of the above parameters can be attenuated by TMH. The pigs in the TMH group also had a reduced percentage of apoptotic cardiomyocytes, an increased anti-apoptotic Bcl-2/Bax ratio and a decreased caspase-3 activity in myocardium, as compared with both controlled normothermia and hyperthermia pigs. In conclusion, hyperthermia is associated with a worse myocardial dysfunction. TMH improves hyperthermia-induced myocardial dysfunction by attenuating apoptosis in a porcine model of cardiac arrest. [ABSTRACT FROM AUTHOR]

[Display omitted] Constructing photocatalysts with high activity and anti-photocorrosion is a key to harvesting hydrogen energy from seawater efficiently. Herein, graphene oxide closely coupled high-index facets CdZnS with rich sulfur vacancies (Vs-CZS@GO) has been successfully synthesized via one-pot sulfidation accompanied pyrolysis. DFT calculation confirmed the delicate surface/interface/defect engineering endowed high-index facets Vs-CZS@GO with a lower ΔG H* value and significant charge transfer behavior for efficient H 2 -generation. The synergistic effect of sulfur vacancy, high-index facets, and tightly coupling interface not only enhanced intrinsic active sites and carrier separation efficiencies, but also greatly promoted H 2 evolution rate and stability. Consequently, Vs-CZS@GO displayed a significantly high H 2 -generation rate of 23.2 mmol∙g−1∙h−1 in natural seawater under visible-light irradiation, which is up to 82% of that in pure water. This work provides deeply insight into the synergistic regulation of electronic structure for exposed high-index facets photocatalysts via defect engineering and interface engineering for synergistic boosting visible-light-to-H 2 evolution. [ABSTRACT FROM AUTHOR]

Water scarcity is a severe problem for regional environmental protection and socioeconomic development, and water footprints are effective tools for evaluating the magnitude of the water scarcity. However, water is closely intertwined with energy. Carbon taxes are an essential policy tool for managing energy use, and could therefore indirectly change the water footprint. Previous research on water footprints has revealed the historical characteristics of water footprints, but has not predicted how these characteristics would change under a carbon tax. Identifying the indirect impacts of carbon taxes on water footprints could therefore offer important information to support more effective energy and water policies. In the present study, we explored the impacts of carbon taxes on water footprints. We established a computable general equilibrium model to predict the effects of carbon taxes on the socioeconomic system, and adopted an input-output model to account for changes in the water footprint. We then used China as a case study. We found that a carbon tax could reduce the total water footprint, even though the water footprint for primary industries increased. In addition, the tax could decrease the virtual water content, and the reduction of virtual water content is the greatest for the secondary industries. • The impacts of carbon taxes on water footprints are predicted. • CGE model is used for the economic system analysis under energy tax. • A carbon tax could reduce the total water footprint. [ABSTRACT FROM AUTHOR]

This study aimed to utilize an unwanted by-product of soy sauce production, the heat-induced precipitates/sediments (HPSS), to fabricate HPSS nanoparticles using a pH-driven method for their use as nano-carriers of unstable curcumin. The results showed that curcumin could successfully complex with HPSS at pH 6.0, 7.0 and 8.0, via hydrogen bonding, electrostatic interactions and hydrophobic interactions, with high encapsulation efficiency (>96%), stability and DPPH radical scavenging activity. Comparable properties were found among the HPSS nanoparticles and derived HPSS-curcumin nanocomplexes obtained at the three pHs, although the HPSS nanoparticles had the highest curcumin loading amount (10.14 μg/mg) and greatest DPPH radical scavenging power (SC 50 0.89 μg/mL) at pH 7.0, and the nanocomplexed curcumin was most stable at pH 6.0. Thus, HPSS can be utilized as delivery vehicles for hydrophobic substances in food and medicinal applications, and pH is a critical variable governing the outcomes. Image 1 • An undesirable by-product of soy sauce production (HPSS) was successfully reutilized. • HPSS nanoparticles can be utilized as delivery vehicles for curcumin. • PH was proved to be a critical variable governing the outcomes. • Curcumin could successfully complex with HPSS at pH 6.0, 7.0 and 8.0. [ABSTRACT FROM AUTHOR]

The explosive growth of biomedical literature has created a rich source of knowledge, such as that on protein-protein interactions (PPIs) and drug-drug interactions (DDIs), locked in unstructured free text. Biomedical relation classification aims to automatically detect and classify biomedical relations, which has great benefits for various biomedical research and applications. In the past decade, significant progress has been made in biomedical relation classification. With the advance of neural network methodology, neural network-based approaches have been applied in biomedical relation classification and achieved state-of-the-art performance for some public datasets and shared tasks. In this review, we describe the recent advancement of neural network-based approaches for classifying biomedical relations. We summarize the available corpora and introduce evaluation metrics. We present the general framework for neural network-based approaches in biomedical relation extraction and pretrained word embedding resources. We discuss neural network-based approaches, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs). We conclude by describing the remaining challenges and outlining future directions. [ABSTRACT FROM AUTHOR]

• Network-based approach improve SARS-CoV-2 drug repositioning performance • Aggregating local network information can promote non-linear feature interaction • Graph convolutional network utilize drug-disease-target reduce the data sparsity • Doxycycline, Cefuroxime, and Erythromycin can be used for SARS-CoV-2 treatment The coronavirus disease 2019 (COVID-19) has outbreak since early December 2019, and COVID-19 has caused over 100 million cases and 2 million deaths around the world. After one year of the COVID-19 outbreak, there is no certain and approve medicine against it. Drug repositioning has become one line of scientific research that is being pursued to develop an effective drug. However, due to the lack of COVID-19 data, there is still no specific drug repositioning targeting the COVID-19. In this paper, we propose a framework for COVID-19 drug repositioning. This framework has several advantages that can be exploited: one is that a local graph aggregating representation is used across a heterogeneous network to address the data sparsity problem; another is the multi-hop neighbors of the heterogeneous graph are aggregated to recall as many COVID-19 potential drugs as possible. Our experimental results show that our COVDR framework performs significantly better than baseline methods, and the docking simulation verifies that our three potential drugs have the ability to against COVID-19 disease. [ABSTRACT FROM AUTHOR]

Vascular calcification is a pathological process closely related to atherosclerosis, diabetic vascular diseases, vascular injury, hypertension, chronic kidney disease and aging. Lethal giant larvae 1 (LGL1) is known as a key regulator of cell polarity and plays an important role in tumorigenesis. However, whether LGL1 regulates vascular calcification remains unclear. In this study, we generated smooth muscle-specific LGL1 knockout (LGL1SMKO) mice by cross-breeding LGL1flox/flox mice with α-SMA-Cre mice. LGL1 level was significantly decreased during calcifying conditions. Overexpression of LGL1 restrained high phosphate-induced calcification in vascular smooth muscle cells (VSMCs). Mechanically, LGL1 could bind with high mobility group box 1 (HMGB1) and promote its degradation via the lysosomal pathway, thereby inhibiting calcification. Smooth muscle-specific deletion of LGL1 increased HMGB1 level and aggravated vitamin D3-induced vascular calcification, which was attenuated by an HMGB1 inhibitor. LGL1 may inhibit vascular calcification by preventing osteogenic differentiation via promoting HMGB1 degradation. Unlabelled Image • The expression of LGL1 was decreased during calcifying conditions. • LGL1 inhibits smooth muscle calcification via HMGB1. • LGL1 binds with HMGB1 and promotes its degradation via the lysosomal pathway. • LGL1SMKO aggravates vitamin D-induced vascular calcification. • HMGB1 inhibitor attenuates aggravated vascular calcification in LGL1SMKO mice. [ABSTRACT FROM AUTHOR]

Background Previous studies have reported that the development of pancreatic cancer (PC) may be associated with environment pollution. But the relationship between ambient air pollution and PC remains unclear. Objectives This study aimed to examine the association between PC mortality and exposure of fine particular matter. Methods We used PC mortality data from 103 continuous points in national Disease Surveillance Point system from 1991 to 2009 in China. The annual concentrations of PM 2.5 at 0.1°  ×  0.1° spatial resolution for each points were estimated based on the context of the Global Burden of Disease Study 2015. A spatial age-period-cohort model was used to examine the relative risks of PC mortality associated with PM exposure, after adjusting gender, urban/rural status, spatial variation as well as age, period and cohort effect. Results The relative risks of PC mortality related to 10 μg/m 3 increase of PM 2.5 were 1.16 (95% confidence interval (CI): 1.13, 1.20) for all the population, 1.08 (1.05,1.13) for those aged 40–64 years, 1.21 (1.17,1.25) for those aged 65–84 years, 1.14 (1.10,1.18) for the male, 1.19 (1.14,1.24) for the female, 1.23 (1.16,1.30) for the urban population and 1.29 (1.22, 1.37) for the rural population. Conclusions Ambient PM 2.5 may raise the risk of mortality from PC, especially in older population. Pollution control policy should be further strengthened to reduce the health damages. [ABSTRACT FROM AUTHOR]

Protein complexes of physically interacting proteins play an important role in organizing various biological processes in the cell. Therefore, correctly identifying complexes is useful for deciphering the cellular mechanisms underlying many biological processes. Since the existing high-throughput techniques have produced a large amount of protein interactions, computational methods are useful complements to the experimental methods for detecting protein complexes. In this paper, we analyze six protein interaction networks widely used for protein complex detection, and compare the performance of six classic computational methods on them in order to find the impacts of network characteristics on the performances of these complex detection methods. Furthermore, we change topological characteristics of six protein interaction networks, and verify the findings by testing performances of six methods on new ones. We hope our study will not only help recognize the relations between characteristics of protein interaction networks and computational complex detection methods, but also provide valuable insight to improve the performance in protein complex detection area. [ABSTRACT FROM AUTHOR]

Fertilizers are important for agricultural production because they can effectively promote crop productivity. However, long-term fertilization can cause heavy metal accumulation in soils and crops. This study utilized sequential extraction, the diffusive gradient in the thin films (DGT) technique and risk assessment models to estimate the effects of the longest long-term fertilization (38 years) in China on cadmium (Cd) and arsenic (As) accumulation in soils. The treatments included no fertilization (CK); inorganic nitrogen, phosphorus, and potassium fertilization (NPK); manure fertilization (M); and NPK plus M cofertilization (NPKM). The results indicated that the soils treated with NPKM, M and NPK had significantly increased total and available concentrations of Cd and As after 38 years of long-term fertilization. Cd mainly originates from cattle manure, while As originates from phosphate fertilizer. Sequential extraction results indicated that the application of manure increased the acid/exchangeable fraction (F1) and organic matter-bound fraction (F3) of Cd and As. The risk assessment results showed that the environmental risks of both Cd and As increased during long-term fertilization, and Cd contamination in the soil was at a moderate-high level, while As remained at a relatively low level. According to the calculations of the maximum numbers of years of soil productivity and rice production, Cd was labile and accumulated in the soils, and As was more labile than Cd in terms of accumulating in rice, indicating that the true risk from As in rice is higher than that from Cd. Controlling the heavy metals in fertilizers, mitigating effective amendments, and identifying plant types that accumulate low amounts of contaminants may be good choices for cleaner crop production. [Display omitted] • 38 years long-term fertilization leaded to a significant increment of cadmium and arsenic in soils. • Manure and phosphate fertilizer were the sources for cadmium arsenic input. • Cadmium and arsenic posed a medium-strong and low environmental risk to the farmland respectively. • Cadmium tended to accumulate in soil and arsenic was labile to accumulate in rice seeds. [ABSTRACT FROM AUTHOR]

Influenza is a major public health problem worldwide. Mutations and resistance development make the use of antiviral therapy challenging. Chinese patent medicines are often used to treat influenza in China and well tolerable. However, the misuse of Chinese patent medicines is common. We therefore aimed to develop an evidence-based guideline on treating influenza with Chinese patent medicines in adults to guide clinical practice. We formed a steering committee, a consensus panel, a consultants' group and an evidence synthesis team to guide the development of the guideline. We formulated the clinical questions through two rounds of survey, and finally selected five questions. We then systematically searched the related evidence and conducted meta-analyses, evidence summaries and GRADE decision tables to draft the recommendations, which the consensus panel then voted on using the Delphi method. Finally, we formulated six recommendations based on the evidence synthesis and experts' consensus. For treating mild influenza, we suggest either Lianhua Qingwen capsule, Jinhua Qinggan granule, Banlangen granule, Shufeng Jiedu capsule, or Jinfang Baidu pill, depending on the manifestations. For severe influenza, or mild influenza in patients at high risk of developing severe influenza, we suggest Lianhua Qingwen capsule in combination with antiviral medications and supportive therapy. The strength of all recommendations was weak. Traditional Chinese medicine has great potential to help in the fight against influenza worldwide, but more high-quality studies are still needed to strengthen the evidence. [ABSTRACT FROM AUTHOR]