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In order to study the movement characteristics of shock train with the variation of incident shock, a direct-connect wind tunnel experimental system with variable incoming Mach number was built. The movement behavior of shock train under the same change rate of incoming Mach number and different change rates of backpressure was captured. The influence mechanism of the synchronous change of incident shock and backpressure on the shock train movement was revealed. When the incident shock and the backpressure change at the same time, there are three factors that affect the overall upstream and downstream movement trend of the shock train. The first is the change of incoming Mach number. The increase of incoming Mach number leads to the downstream movement of the shock train, and the influence gradually weakens with the increase of the incoming Mach number. The second is the movement of the background waves. When the impingement point of the background wave approaches the shock train leading edge, the sudden jump of the shock train can be caused. The third is the change of backpressure ratio. When the backpressure ratio increases, the shock train moves upstream, and the influence gradually increases with the enhancement of backpressure ratio. The shock train exhibits complex movements under the coupling effect of the three factors.

A novel modified polypropylene-methacrylate fiber (PP-g-(AA+BMA)) was prepared by grafting acrylic acid (AA) and butyl methacrylate (BMA) onto the polypropylene (PP) fiber substrate using a two-step electron beam irradiation method. It was used as a sorbent to recover high concentrations of phthalate esters (PAEs) from water. AA was first grafted onto PP substrate by electron beam, and then the pretreated PP was soaked into BMA solution and the loaded monomer was grafted on the PP substrate by electron beam induced. Fourier transform infrared spectra and contact angle (CA) were employed to characterize the chemical changes of PP substrate. In addition, the effect of the first and the second reactions on the degree of grafting was studied. The results indicated that the PP-g-(AA+BMA) could successfully be used to remove PAEs from water, leading to superior improvement of environmental preservation. [ABSTRACT FROM AUTHOR]

Abstract The concept design evaluation phase of the new product launch is extremely important. However, current evaluation information relies mainly on the a priori knowledge of decision makers and is subjective and ambiguous. For this reason, a conceptual design solution decision model based on Pythagorean fuzzy sets in a big data environment is proposed. Firstly, we use the ability of big data to mine and analyze information to construct a new standard for product concept design evaluation in the big data environment. Secondly, the Pythagorean fuzzy set (PFS), Analytic Hierarchy Process (AHP), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are integrated into a decision model. AHP, extended by the Pythagorean fuzzy set, is used to determine the weights of new conceptual design criteria in a big data environment. The Pythagorean fuzzy TOPSIS is used to prioritize alternative conceptual design solutions. The feasibility of the approach is proven with a practical case, the generalizability of the method is confirmed with two descriptive digital cases, and the reliability, validity, and superiority of the process are demonstrated with sensitivity analysis, comparative analysis, and computational complexity analysis.

In this study, high-strength ceramic lightweight aggregates were prepared from oil-based drill cutting pyrolysis residues, and their formation mechanism and expansion during sintering were examined. It was found that the Al2O3 suppressed the melting process and increased the particle strength. In particular, Al atoms penetrated the liquid phase and formed a Si–Al–O crystal structure with four ligands, which reacted with CaO and BaO to produce aluminosilicate crystals, such as BaAl2Si2O8 and CaAl2Si2O8, which increased the compressive strength. Scanning electron microscope images revealed that the glass phase also contributed toward the high strength of ceramic materials by adhering to crystal grains and forming a concrete-like structure. Energy-dispersive X-ray spectroscopy data suggested that similar to Ca atoms, Ba atoms in pyrolysis residues played a critical role in the production of aluminosilicate, while transmission electron microscopy images confirmed that different phases were not well separated as Ba and Ca were stabilized in the same crystal grains. After SiC addition and increasing the sintering temperature, the product density significantly decreased while its porosity increased.

This paper proposes a novel method of multi-beam laser heterodyne measurement for metal linear expansion coefficient. Based on the Doppler effect and heterodyne technology, the information is loaded of length variation to the frequency difference of the multi-beam laser heterodyne signal by the frequency modulation of the oscillating mirror, this method can obtain many values of length variation caused by temperature variation after the multi-beam laser heterodyne signal demodulation simultaneously. Processing these values by weighted-average, it can obtain length variation accurately, and eventually obtain the value of linear expansion coefficient of metal by the calculation. This novel method is used to simulate measurement for linear expansion coefficient of metal rod under different temperatures by MATLAB, the obtained result shows that the relative measurement error of this method is just 0.4%. [ABSTRACT FROM AUTHOR]

Retina and optic nerve both originate in brain, therefore they have the similar structure and functional characteristics of the brain. Exploring the performance of the central optic nervous disorder on the retina will be beneficial to uncovering the interaction mechanism between brain and eye. As an extension of the central nervous system, the retina contains ganglion cell, a special neuron, whose axon form the optic nerve and has access into the central nervous system. Therefore, the retina can be used as a mirror reflecting neurodegenerative diseases structurally and functionally. With the development of imaging technology, optical coherence tomography(angiography)has become the mainstream tool for ophthalmological clinical diagnosis due to its easy operation and low cost. In recent years, discovering biomarkers of neurodegenerative diseases, especially Alzheimer's disease, Parkinson's disease, multiple sclerosis and so on, in the retinal optical coherence tomography images has gradually become an emerging research direction. In this review, we summarized the research progress of neurodegenerative diseases analysis based on the retinal images in the past decade, and provide a prospect to inspire further research as far as possible.

Polydimethylsiloxane(PDMS) based segmented polyether urethanes (SiPEUs) suffer from poor adhesion between apolar PDMS and polar hard domains, which results in inferior mechanical properties and inadequate stability in long-term implantation. To regulate the interfacial miscibility, three chain extenders attached with different dangling side chains (fluorinated diol FDO, silicone-based diol SDO, and hexyl-based diol HDO) were used in two-step synthesis to modify the polarity of hard segments. Thermal analysis demonstrated a higher glass transition temperature of PDMS and PTMO (poly (tetramethylene oxide)) domain in SDO modified SiPEU(SSPEU) in contrast to the samples extended with FDO and HDO. Fourier transform infrared spectroscopy (FT-IR), small-angel x-ray scattering (SAXS), and dissipative particle dynamics (DPD) simulation further proved that SSPEU was achieved with optimal interfacial miscibility compared with SPEU. The intermediate layers were proposed to be functionally percolated composed of PDMS, PTMO, MDI-SDO, and MDI-BDO units, which promoted oxidative stability under accelerated test in vitro without mechanical compromise. [Display omitted] • Preparation of biostable silicone-based polyurethanes without mechanical compromise from the perspective of microphase morphology. • Tuning compatibility between hard segment with hard and PDMS (poly(dimethylsiloxane)) segments in polyurethane. • A functionally percolated interface layer was formed, which facilitates the mechanical properties and oxidative stability of silicone-based polyetherurethanes. [ABSTRACT FROM AUTHOR]

AIM: To evaluate the differences of macular vascular network measured by optical coherence tomography angiography(OCTA)between severe non-proliferative diabetic retinopathy(S-NPDR)eyes and health eyes, and explore the changes of these OCTA characteristics in patients with S-NPDR before and after panretinal photocoagulation(PRP).METHODS: This was a prospective study including 31 eyes from 18 consecutive patients with S-NPDR and 31 eyes of healthy subjects. We measured macular vascular density and foveal avascular zone(FAZ)area and volume by an OCTA device.RESULTS: Compared to the normal control group, in superficial retinal capillary plexus(SCP), macular vascular density decreased in S-NPDR group, except foveal vascular density unchanged. Consistently, in deep retinal capillary plexus(DCP), macular vascular density was also lower in S-NPDR group. In addition, FAZ area and volume expanded in S-NPDR eyes. At 6mo post-PRP in S-NPDR eyes, foveal SCP and DCP densities increased significantly, while FAZ area and volume decreased. At 3mo post-PRP, only foveal vascular density in DCP increased. The changes of foveal SCP and DCP densities as well as FAZ area and volume were not statically significant at 1mo post-PRP.CONCLUSION: Macular vascular network was impaired in S-NPDR assessed by OCTA. Although OCTA parameters were not significantly affected by PRP in 1 and 3mo period, at 6mo follow-up parameters became significant after PRP.

Abstract Diabetic retinopathy (DR), the most common and serious ocular complication, recently has been perceived as a neurovascular inflammatory disease. However, role of adaptive immune inflammation driven by T lymphocytes in DR is not yet well elucidated. Therefore, this study aimed to clarify the role of interleukin (IL)-17A, a proinflammatory cytokine mainly produced by T lymphocytes, in retinal pathophysiology particularly in retinal neuronal death during DR process. Ins2Akita (Akita) diabetic mice 12 weeks after the onset of diabetes were used as a DR model. IL-17A-deficient diabetic mice were obtained by hybridization of IL-17A-knockout (IL-17A-KO) mouse with Akita mouse. Primarily cultured retinal Müller cells (RMCs) and retinal ganglion cells (RGCs) were treated with IL-17A in high-glucose (HG) condition. A transwell coculture of RGCs and RMCs whose IL-17 receptor A (IL-17RA) gene had been silenced with IL-17RA-shRNA was exposed to IL-17A in HG condition and the cocultured RGCs were assessed on their survival. Diabetic mice manifested increased retinal microvascular lesions, RMC activation and dysfunction, as well as RGC apoptosis. IL-17A-KO diabetic mice showed reduced retinal microvascular impairments, RMC abnormalities, and RGC apoptosis compared with diabetic mice. RMCs expressed IL-17RA. IL-17A exacerbated HG-induced RMC activation and dysfunction in vitro and silencing IL-17RA gene in RMCs abolished the IL-17A deleterious effects. In contrast, RGCs did not express IL-17RA and IL-17A did not further alter HG-induced RGC death. Notably, IL-17A aggravated HG-induced RGC death in the presence of intact RMCs but not in the presence of RMCs in which IL-17RA gene had been knocked down. These findings establish that IL-17A is actively involved in DR pathophysiology and particularly by RMC mediation it promotes RGC death. Collectively, we propose that antagonizing IL-17RA on RMCs may prevent retinal neuronal death and thereby slow down DR progression.

The understanding and regulation of the surface electronic structure of molybdenum disulfide-based catalysts for hydrogen evolution reaction (HER) remains a challenges. Here, the authors design and synthesize electrocatalysts with multi-heterojunction interfaces showing enhanced HER activities and stabilities.

Exploration of highly efficient and robust catalyst is pivotal for electrocatalytic degradation of dye wastewater, but it still is a challenge. Here, we develop a three-dimensional self-supported SnO2-Mn2O3 hybrid nanosheets grown on carbon cloth (noted by SnO2-Mn2O3@CC) electrode via a simple hydrothermal method and annealing treatment. Benefitting from the interlaced nanosheets architecture that enlarges the surface area and the synergetic component effect that accelerates the interfacial electronic transfer, SnO2-Mn2O3@CC electrode exhibits a superior electrocatalytic degradation efficiency for cationic blue X-GRRL dye in comparison with the single metal oxide electrode containing SnO2@CC and Mn2O3@CC. The degradation efficiency of cationic blue X-GRRL on SnO2-Mn2O3@CC electrode can reach up to 97.55% within 50 min. Furthermore, self-supported architecture of nanosheets on carbon cloth framework contributes to a robust stability compared with the traditional electrode via the multiple dip/brush coating accompanied by the thermal decomposition method. SnO2-Mn2O3@CC electrode exhibits excellent recyclability, which can still retain a degradation efficiency of 94.12% after six cycles. This work may provide a new pathway for the design and exploration of highly efficient and robust electrooxidation catalysts for dye degradation.

Electrochemical carbon monoxide reduction is a promising strategy to yield valuable multicarbon products but low selectivities and Faradaic efficiencies are common. Here the authors show single atom copper catalyst supported on MXene with high CO reduction performance and stability.

To exploit high-performance and stable sensing materials with a room working temperature is pivotal for portable and mobile sensor devices. However, the common sensors based on metal oxide semiconductors usually need a higher working temperature (usually above 300 °C) to achieve a good response toward gas detection. Currently, metal halide perovskites have begun to rise as a promising candidate for gas monitoring at room temperature but suffer phase instability. Herein, we construct 1D/3D PyPbI3/FA0.83Cs0.17PbI3 (denoted by PyPbI3/FACs) bilayer perovskite by post-processing spin-coating Pyrrolidinium hydroiodide (PyI) salt on top of 3D FACs film. Benefitting from the 1D PyPbI3 coating layer, the phase stability of 1D/3D PyPbI3/FACs significantly improves. Simultaneously, the gas sensor based on the 1D/3D PyPbI3/FACs bilayer perovskite presents a superior selectivity and sensitivity toward NO2 detection at room temperature, with a low detection limit of 220 ppb. Exposed to a 50 ± 3% relative humidity (RH) level environment for a consecutive six days, the 1D/3D PyPbI3/FACs perovskite-based sensor toward 10 ppm NO2 can still maintain a rapid response with a slight attenuation. Gas sensors based on hybrid 1D/3D-structured perovskite in this work may provide a new pathway for highly sensitive and stable gas sensors in room working temperature, accelerating its practical application and portable device.

As one of the most important posttranslational modifications (PTMs), protein lysine glycation changes the characteristics of the proteins and leads to the dysfunction of the proteins, which may cause diseases. Accurately detecting the glycation sites is of great benefit for understanding the biological function and potential mechanism of glycation in the treatment of diseases. However, experimental methods are expensive and time-consuming for lysine glycation site identification. Instead, computational methods, with their higher efficiency and lower cost, could be an important supplement to the experimental methods. In this study, we proposed a novel predictor, BERT-Kgly, for protein lysine glycation site prediction, which was developed by extracting embedding features of protein segments from pretrained Bidirectional Encoder Representations from Transformers (BERT) models. Three pretrained BERT models were explored to get the embeddings with optimal representability, and three downstream deep networks were employed to build our models. Our results showed that the model based on embeddings extracted from the BERT model pretrained on 556,603 protein sequences of UniProt outperforms other models. In addition, an independent test set was used to evaluate and compare our model with other existing methods, which indicated that our model was superior to other existing models.

Tactile sensing endows the robots to perceive certain physical properties of the object in contact. Robots with tactile perception can classify textures by touching. Interestingly, textures of fine micro-geometry beyond the nominal resolution of the tactile sensors can also be identified through exploratory robotic movements like sliding. To study the problem of fine texture classification, we design a robotic sliding experiment using a finger-shaped multi-channel capacitive tactile sensor. A feature extraction process is presented to encode the acquired tactile signals (in the form of time series) into a low dimensional (≤7D) feature vector. The feature vector captures the frequency signature of a fabric texture such that fabrics can be classified directly. The experiment includes multiple combinations of sliding parameters, i.e., speed and pressure, to investigate the correlation between sliding parameters and the generated feature space. Results show that changing the contact pressure can greatly affect the significance of the extracted feature vectors. Instead, variation of sliding speed shows no apparent effects. In summary, this paper presents a study of texture classification on fabrics by training a simple k-NN classifier, using only one modality and one type of exploratory motion (sliding). The classification accuracy can reach up to 96%. The analysis of the feature space also implies a potential parametric representation of textures for tactile perception, which could be used for the adaption of motion to reach better classification performance.

Calculations with high accuracy for atomic and inter-atomic properties, such as nuclear magnetic resonance (NMR) spectroscopy and bond dissociation energies (BDEs) are valuable for pharmaceutical molecule structural analysis, drug exploration, and screening. It is important that these calculations should include relativistic effects, which are computationally expensive to treat. Non-relativistic calculations are less expensive but their results are less accurate. In this study, we present a computational framework for predicting atomic and inter-atomic properties by using machine-learning in a non-relativistic but accurate and computationally inexpensive framework. The accurate atomic and inter-atomic properties are obtained with a low dimensional deep neural network (DNN) embedded in a fragment-based graph convolutional neural network (F-GCN). The F-GCN acts as an atomic fingerprint generator that converts the atomistic local environments into data for the DNN, which improves the learning ability, resulting in accurate results as compared to experiments. Using this framework, the 13C/1H NMR chemical shifts of Nevirapine and phenol O–H BDEs are predicted to be in good agreement with experimental measurement.

The Iwan model is composed of elastoplastic elements and is widely used to represent the stiffness degradation of bolted joints under mixed-mode loading (normal and tangential loading). The latest static methods of parameter identification established the relationship between the elastoplastic elements and the contact pressure under normal loading. Under mixed-mode loading, the parameters of the Iwan model are dynamic for the evolution of contact conditions. Therefore, static parameter identification methods are not suitable for the dynamic Iwan model. A new technique was proposed to identify the parameters of the elastoplastic elements in this paper. Firstly, several different finite element models were established. The influence of the contact method and the thread structure were analyzed, and a reliable and efficient bolted-joint modeling method was proposed. Secondly, the evolution of contact conditions was studied. The dynamic elliptical contact model and the ellipticity discrete method were proposed. Finally, the residual stiffness of the Iwan model was analyzed to establish the mapping between the residual stiffness and the bending of the screw. The results can provide a technique for identifying the parameters of the dynamic Iwan model.

This study reported two cases of intracranial thrombotic events of aplastic anemia (AA) under therapy with cyclosporine-A (CsA) and reviewed both drug-induced cerebral venous thrombosis (CVT) and CsA-related thrombotic events systematically. We searched PubMed Central (PMC) and EMBASE up to Sep 2019 for publications on drug-induced CVT and Cs-A-induced thrombotic events. Medical subject headings and Emtree headings were used with the following keywords: “cyclosporine-A” and “cerebral venous thrombosis OR cerebral vein thrombosis” and “stroke OR Brain Ischemia OR Brain Infarction OR cerebral infarction OR intracerebral hemorrhage OR intracranial hemorrhage.” We found that CsA might be a significant risk factor in inducing not only CVT but also cerebral arterial thrombosis in patients with AA.

Distribution and fraction of heavy metals (Pb, Cr, Zn, and Mn) in water and sediment in Liangtan River, Chongqing was analyzed using the atomic absorption spectrometry method. Pearson correlation coefficient, bioavailability index, geoaccumulation index and potential ecological risk index were introduced to classify the source and assess the environmental risk of the heavy metal. Pb, Cr, and Zn mainly existed in residual fraction and fraction bounded to Fe–Mn oxides while Mn mainly existed in the fraction bounded to carbonates and the residual fraction. Mn and Pb, Zn and Cr in the sediment were confirmed originating from, separate common sources. Igeo and $E_\text{r}^{i}$ were both in the order of Pb > Zn > Cr > Mn. Geoaccumulation indexes demonstrated that the Liangtan River has been heavily polluted by Pb and Zn with the class of 2–4 and 2–3, independently. From viewpoint of the whole Liangtan River, the mean RI (45.1) belonged to low risk level.

Diabetic retinopathy (DR), the most common and serious ocular complication, recently has been perceived as a neurovascular inflammatory disease. However, role of adaptive immune inflammation driven by T lymphocytes in DR is not yet well elucidated. Therefore, this study aimed to clarify the role of interleukin (IL)-17A, a proinflammatory cytokine mainly produced by T lymphocytes, in retinal pathophysiology particularly in retinal neuronal death during DR process. Ins2 Akita (Akita) diabetic mice 12 weeks after the onset of diabetes were used as a DR model. IL-17A-deficient diabetic mice were obtained by hybridization of IL-17A-knockout (IL-17A-KO) mouse with Akita mouse. Primarily cultured retinal Müller cells (RMCs) and retinal ganglion cells (RGCs) were treated with IL-17A in high-glucose (HG) condition. A transwell coculture of RGCs and RMCs whose IL-17 receptor A (IL-17RA) gene had been silenced with IL-17RA-shRNA was exposed to IL-17A in HG condition and the cocultured RGCs were assessed on their survival. Diabetic mice manifested increased retinal microvascular lesions, RMC activation and dysfunction, as well as RGC apoptosis. IL-17A-KO diabetic mice showed reduced retinal microvascular impairments, RMC abnormalities, and RGC apoptosis compared with diabetic mice. RMCs expressed IL-17RA. IL-17A exacerbated HG-induced RMC activation and dysfunction in vitro and silencing IL-17RA gene in RMCs abolished the IL-17A deleterious effects. In contrast, RGCs did not express IL-17RA and IL-17A did not further alter HG-induced RGC death. Notably, IL-17A aggravated HG-induced RGC death in the presence of intact RMCs but not in the presence of RMCs in which IL-17RA gene had been knocked down. These findings establish that IL-17A is actively involved in DR pathophysiology and particularly by RMC mediation it promotes RGC death. Collectively, we propose that antagonizing IL-17RA on RMCs may prevent retinal neuronal death and thereby slow down DR progression., (© 2021. The Author(s).)

Frequent drying and rewetting due to flooding/precipitation and drainage events in floodplains induces changes in biogeochemical conditions that may influence the effectiveness of in situ Hg stabilization using biochars as soil amendments. This study evaluated two selected biochars anaerobic digestate (DIG) and sulfurized hardwood (MOAK)) as potential amendment materials in moderately reduced floodplain soil under repeated drying and rewetting events using a modified humidity cell protocol. Enhanced release of filter-passing (0.45-μm) total Hg (THg) and MeHg was observed at early times. Elevated concentrations of 0.45-μm THg were associated with DOC and Mn in sediment control and biochar-amended systems. Elevated concentrations of MeHg were associated with Mn in the MOAK-amended system. Thereafter, decreases in 0.45-μm (up to 57%) and unfiltered THg (up to 93%) were observed. As wetting and drying events continued, decreases in pH and alkalinity as well as increases in SO 4 2- (up to 796 mg L -1 ) and Ca (up to 215 mg L -1 ) were observed in the MOAK-amended systems with the microbial community shifted towards sulfur-oxidizing bacteria, indicating microbially-driven oxidation of MOAK. Although results of S K-edge X-ray absorption near edge structure (XANES) analysis suggest polysulfur is the predominant S phase in both MOAK- and DIG-amended systems, microbially-driven oxidation of DIG was not observed. Polysulfur in MOAK from the sulfurization process is more bioavailable to sulfur oxidizing communities than in DIG under the repeated drying and wetting conditions. Results of this study suggest biogeochemical conditions as well as biochar properties should be considered when planning full-scale field applications., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

This study evaluated three biochars derived from bioenergy by-products - manure-based anaerobic digestate (DIG), distillers' grains (DIS), and a mixture thereof (75G25S) - as amendments to stabilize Hg in contaminated floodplain soil under long-term saturated (up to 200 d) and cyclic drying and rewetting conditions. Greater total Hg (THg) removal (72 to nearly 100%) and limited MeHg production (<65 ng L -1 ) were observed in digestate-based biochar-amended systems under initial saturated conditions. Drying and rewetting resulted in limited THg release, increased aqueous MeHg, and decreased solid MeHg in digestate-based biochar-amended systems. Changes in Fe and S chemistry as well as microbial communities during drying and rewetting potentially affected MeHg production. Digestate-based biochars may be more effective as amendments to control Hg release and minimize MeHg production in floodplain soils under long-term saturated and drying and rewetting conditions compared to distillers' grains biochar., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Crown Copyright © 2020. Published by Elsevier Ltd. All rights reserved.)

Periodic flooding and drying conditions in floodplains affect the mobility and bioavailability of Hg in aquatic sediments and surrounding soils. Sulfurized materials have been recently proposed as Hg sorbents due to their high affinity to bind Hg, while sulfurizing organic matter may enhance methylmercury (MeHg) production, offsetting the beneficial aspects of these materials. This study evaluated hardwood biochar (OAK) and sulfurized-hardwood biochar (MOAK) as soil amendments for controlling Hg release in a contaminated floodplain soil under conditions representative of periodic flooding and drying in microcosm experiments in three stages: (1) wet biochar amended-systems with river water in an anoxic environment up to 200 d; (2) dry selected reaction vessels in an oxic environment for 90 d; (3) rewet such vessels with river water in an anoxic environment for 90 d. In Stage 1, greater Hg removal (17-98% for unfiltered total Hg (THg) and 47-99% for 0.45-μm THg) and lower MeHg concentrations (<20 ng L -1 ) were observed in MOAK-amended systems (10%MOAKs). In Stage 3, release of Hg in 10%MOAKs was eight-fold lower than in soil controls (SedCTRs), while increases in aqueous (up to 21 ng L -1 ) and solid (up to 88 ng g -1 ) MeHg concentrations were observed. The increases in MeHg corresponded to elevated aqueous concentrations of Mn, Fe, SO 4 2- , and HS - in Stage 3. Results of S K-edge X-ray absorption near edge structure (XANES) analysis suggest oxidation of S in Stage 2 and formation of polysulfur in Stage 3. Results of pyrosequencing analysis indicate sulfate-reducing bacteria (SRB) became abundant in Stage 3 in 10%MOAKs. The shifts in biogeochemical conditions in 10%MOAKs in Stage 3 may increase the bioavailability of Hg to methylating bacteria. The results suggest limited impacts on Hg removal during drying and rewetting, while changes in biogeochemical conditions may affect MeHg production in sulfurized biochar-amended systems., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Crown Copyright © 2019. Published by Elsevier B.V. All rights reserved.)

Hardwood biochar (pyrolyzed at 700 °C), a potential candidate for Hg removal, has been proposed for use as reactive capping mats along groundwater discharge zones or riverbanks to control release of Hg from contaminated riverbank sediments. Frequent flooding and drainage in fluvial settings can influence the effectiveness of remediation systems in contaminated riverbank sediments and floodplain soils. This study evaluated the effectiveness of Hg removal using hardwood biochar under hydrogeochemical conditions representative of those present within a reactive capping mat installed in a fluvial setting. Two sets of treatment columns, containing 50% v.v biochar and quartz sand, were subjected to 100 weekly wetting/drying cycles that included dry air, water-saturated air, and drainage using leachate derived from two source columns as input solutions: 1. Passing simulated acid rain water through floodplain soil, 2. Passing river water through riverbank sediment. In both treatment columns, >80% of the Hg was retained on the biochar without promoting Hg methylation and the release of other unintended dissolved constituents (including N, P, DOC). Results from solidphase extraction analyses suggest that Hg accumulated near the air/biochar-sand interface (0-2 cm) in the treatment columns at low loadings but was present at greater depths at higher loadings. Results of micro X-ray fluorescence (μ-XRF) mapping and micro X-ray absorption near edge structure (μ-XANES) for the biochar collected at depths 0-2 cm in treatment columns suggest retention of Hg-bearing particles derived from riverbank sediment and floodplain soil within the pore structure of the biochar. Sulfur K-edge XANES analysis of the unused biochar and the biochar after treatment suggest formation of Hg complexes on the biochar surface. These results indicate that hardwood biochar is potentially an effective media for application in reactive mats for controlling Hg discharging from contaminated riverbank sediments., (Copyright © 2018 Elsevier B.V. All rights reserved.)

The application of biochar to treat mercury (Hg) in the environment is being proposed on an increasing basis due to its widespread availability and cost effectiveness. However, the efficiency of Hg removal by biochars is variable due to differences in source material composition. In this study, a series of batch tests were conducted to evaluate the effectiveness of sulfurized biochars (calcium polysulfide and a dimercapto-related compound, respectively) for Hg removal; Hg-loaded biochars were then characterized using synchrotron-based techniques. Concentrations of Hg decreased by >99.5% in solutions containing the sulfurized biochars. Sulfur X-ray absorption near-edge structure (XANES) analyses indicate a polysulfur-like structure in polysulfide-sulfurized biochar and a thiol-like structure (shifted compared to dimercapto) in the dimercapto-sulfurized biochar. Micro-X-ray fluorescence (μ-XRF) mapping and confocal X-ray micro-fluorescence imaging (CXMFI) analyses indicate Hg is distributed primarily on the edges of sulfurized biochar and throughout unmodified biochar particles. Hg extended X-ray absorption fine structure (EXAFS) analyses show Hg in enriched areas is bound to chlorine (Cl) in the unmodified biochar and to S in sulfurized biochars. These results indicate that Hg removal efficiency is enhanced after sulfurization through the formation of strong bonds (Hg-S) with S-functional groups in the sulfurized biochars., (Copyright © 2017 Elsevier B.V. All rights reserved.)

Objective: To reveal the involvement of inositol 1,4,5-trisphosphate receptors (IP3R) and ryanodine receptors (RyR) in IL-6 prevention from neuronal apoptosis and necrosis induced by N-methyl-D-aspartate (NMDA)., Methods: Cerebellar granule neurons (CGNs) from 8-day-old rats were exposed to IL-6 for 8 days and then stimulated with NMDA for 30 min. The 2-aminoethoxydiphenyl borate (2-APB) and dantrolene (DAN) were used to antagonize IP3R and RyR, respectively. Anti-gp130 monoclonal antibody (mAb) was employed to neutralize gp130, a 130-kDa signal-transducing β-subunit of IL-6 receptor complex. Neuronal apoptosis and necrosis were determined by TUNEL, fluorometric caspase-3 enzyme activity, annexin V-FITC/PI staining and ELISA. Western blot and real-time PCR measured IP3R1 and RyR2 expression, respectively., Results: IL-6 prevented the elevation of TUNEL-positive cells and caspase-3 expression and activity, and also suppressed the increase in annexin V-FITC/PI-positive cells and DNA- and histone-associated nucleosomes in cultured CGNs evoked by NMDA. These anti-apoptotic and anti-necrotic effects of IL-6 were larger on DAN-treated cells than on 2-APB-exposed neurons, since 2-APB treatment alone significantly inhibited the neuronal apoptosis and necrosis but DAN exposure alone did not alter the apoptosis and necrosis induced by NMDA. In support of these results, IL-6 downregulated IP3R1 but did not affect RyR2 expression. All these IL-6 effects were blocked by anti-gp130 mAb., Conclusion: IL-6 prevention from NMDA-triggered Ca2+-induced Ca2+ release-mediated apoptosis and necrosis in CGNs depends on the inhibition of IP3R channel opening and expression rather than on RyR activity. IL-6 receptor-coupled gp130 signaling mediates this neuroprotection of IL-6 resistance to neuronal apoptosis and necrosis.

Over recent decade, studies have shown that inflammatory reaction characterized mainly by the activation of microglia in the brain is implicated in the pathogenesis and processes of neurodegenerative diseases. Neuroinflammation is a double-edged sword. On the one hand, it induces or aggravates the neurodegeneration in the nervous system, and on the other hand, it favors the recovery of the injured neurons in certain conditions. The activated glial cells release pro-inflammatory cytokines and reactive oxygen species, which mediate the neuroinflammation-induced neurodegenerative diseases. The anti-inflammatory cytokines synthesized by regulatory T cells and neuropeptides secreted by neurons protect the neurons against neuroinflammation, through which neurodegenerative diseases are alleviated.

Objective: Dopamine exists in the immune system and has obvious immunomodulating action. However, receptor mechanism underlying the dopamine immunomodulation remains to be clarified. In the present study, we provide the evidence for existence of dopamine receptor subtypes in T lymphocytes and show the roles of the receptors and the receptor-coupled signaling in mediating the dopamine immunomodulation., Methods: The purified T lymphocytes from the mesenteric lymph nodes of mice were detected for expressions of all five subtypes of dopamine receptor mRNAs by reverse transcription-polymerase chain reaction. Lymphocyte proliferation and production of interferon-γ (IFN-γ) and interleukin-4 (IL-4) in response to concanavalin A (Con A) were measured by colorimetric methyl-thiazole-tetrazolium assay and cytometric bead array, respectively, after the cells were exposed to dopamine D1-like or D2-like receptor agonists and antagonists. Meanwhile, content of cAMP and phosphorylation of cAMP-response element-binding (CREB) in the lymphocytes were examined by 125I-cAMP radioimmunoassay and Western blot assay, respectively., Results: T lymphocytes expressed all the five subtypes of dopamine receptor mRNAs, i.e., D1, D2, D3, D4 and D5 receptors. SKF38393, an agonist of dopamine D1-like receptors (D1 and D5 receptors) only reduced the IFN-γ production, but did not significantly affect the proliferative response, IL-4 production, cAMP content or CREB activation of the lymphocytes. The SKF38393-induced decrease in IFN-γ level was blocked by the D1-like receptor antagonist SCH23390. Quinpirole, an agonist of dopamine D2-like receptors (D2, D3 and D4 receptors) attenuated the lymphocyte proliferation to Con A, and decreased the IFN-γ but increased the IL-4 production. Meanwhile, the quinpirole diminished the cAMP content and the phosphorylated CREB level in the lymphocytes. All the quinpirole-induced changes were reversed by dopamine D2-like receptor antagonist haloperidol., Conclusions: Five dopamine receptor subtypes of the two families, D1-like and D2-like receptors, exist on T lymphocytes of mice. Of the two families, D2-like receptors are more important in mediating modulation of T cell function than D1-like receptors. D2-like receptors are involved in suppression of T helper 1 (Th1) cell function and enhancement of Th2 cell function through negative link to cAMP-CREB pathway.