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Aqueous Zn-ion hybrid supercapacitors (AZHSCs) combining the advantages of high‐energy batteries and high‐power supercapacitors see a bright future, but they still suffer from the poor capacity of carbonic cathodes. Herein, a functionalized porous carbon cloth (denoted as FPCC) electrode is demonstrated based on commercial carbon cloth (denoted as CC) tuning by structural and surface engineering. The constructed exfoliated porous carbon layer and the negatively charged functionalized interface not only increase the electrical double layer capacitance but also favor the chemical adsorption of Zn2+ to obtain additional pseudocapacitance. Consequently, the FPCC electrode delivers a high capacity of 0.16 mAh cm−2 at 4 mA cm−2, which is 923.8 times higher than CC, and a long cycle life (85.0% capacity retention after 30 000 cycles). More importantly, the Zn//FPCC AZHSC possesses an impressive energy density (3.3 mWh cm−3) and power density (240 mW cm−3), superior to many advanced batteries and supercapacitors. The quasi-solid-state device is also assembled as a demo. This modification strategy may provide new opportunities for high-performance AZHSCs. [ABSTRACT FROM AUTHOR]

Objective. In this study, we utilized gonadotropin-releasing hormone analogue-modified indocyanine green (GnRHa-ICG) to improve the accuracy of intraoperative recognition and resection of endometriotic lesions. Methods. Gonadotropin-releasing hormone receptor (GnRHR) expression was detected in endometriosis tissues and cell lines via immunohistochemistry and western blotting. The in vitro binding capacities of GnRHa, GnRHa-ICG, and ICG were determined using fluorescence microscopy and flow cytometry. In vivo imaging was performed in mouse models of endometriosis using a near-infrared fluorescence (NIRF) imaging system and fluorescence navigation system. The ex vivo binding capacity was determined using confocal fluorescence microscopy. Results. GnRHa-ICG exhibited a significantly stronger binding capacity to endometriotic cells and tissues than ICG. In mice with endometriosis, GnRHa-ICG specifically imaged endometriotic tissues (EMTs) after intraperitoneal administration, whereas ICG exhibited signals in the intestine. GnRHa-ICG showed the highest fluorescence signals in the EMTs at 2 h and a good signal-to-noise ratio at 48 h postadministration. Compared with traditional surgery under white light, targeted NIRF imaging-guided surgery completely resected endometriotic lesions with a sensitivity of 97.3% and specificity of 77.8%. No obvious toxicity was observed in routine blood tests, serum biochemicals, or histopathology in mice. Conclusions. GnRHa-ICG specifically recognized and localized endometriotic lesions and guided complete resection of lesions with high accuracy. [ABSTRACT FROM AUTHOR]

Objectives: The associations between the triglyceride–glucose (TyG) index with subsequent stroke in American adults are unknown. The aim of this study was to determine the associations between baseline and trajectories of TyG index with subsequent stroke in American adults. Methods: A total of 10,132 participants free of a history of stroke at baseline were included. We quantified the association of baseline and trajectories of TyG index with incident total stroke, ischemic stroke and intracerebral hemorrhage using Cox regression, restricted cubic splines and logistic regression analysis. Results: There were 909 incident stroke cases over a median follow-up of 26.6 years. After adjustment for potential confounders, each unit increase in the TyG index was associated with a 32.1% higher risk of incident stroke. Compared with participants in the lowest quartile of the baseline TyG index, those in the highest quartile had a greater risk of incident stroke [HR (95% CI) 1.254 (1.014–1.552)]. Restricted cubic splines showed that the risk of stroke increased in participants with a higher TyG index, especially when the TyG index was > 8.6. Results were similar for incident ischemic stroke. Compared with participants in the lowest quartile of the baseline TyG index, those in the second quartile had a lower risk of intracerebral hemorrhage [HR (95% CI) 0.494 (0.262–0.931)]. Five discrete trajectories with stable TyG indexes at various levels at follow-up visits were identified, and parallel results were observed for the associations of trajectories of TyG index with outcomes. Conclusions: The TyG index independently predict stroke progression. [ABSTRACT FROM AUTHOR]

Objective. In this study, we utilized gonadotropin-releasing hormone analogue-modified indocyanine green (GnRHa-ICG) to improve the accuracy of intraoperative recognition and resection of endometriotic lesions. Methods. Gonadotropin-releasing hormone receptor (GnRHR) expression was detected in endometriosis tissues and cell lines via immunohistochemistry and western blotting. The in vitro binding capacities of GnRHa, GnRHa-ICG, and ICG were determined using fluorescence microscopy and flow cytometry. In vivo imaging was performed in mouse models of endometriosis using a near-infrared fluorescence (NIRF) imaging system and fluorescence navigation system. The ex vivo binding capacity was determined using confocal fluorescence microscopy. Results. GnRHa-ICG exhibited a significantly stronger binding capacity to endometriotic cells and tissues than ICG. In mice with endometriosis, GnRHa-ICG specifically imaged endometriotic tissues (EMTs) after intraperitoneal administration, whereas ICG exhibited signals in the intestine. GnRHa-ICG showed the highest fluorescence signals in the EMTs at 2 h and a good signal-to-noise ratio at 48 h postadministration. Compared with traditional surgery under white light, targeted NIRF imaging-guided surgery completely resected endometriotic lesions with a sensitivity of 97.3% and specificity of 77.8%. No obvious toxicity was observed in routine blood tests, serum biochemicals, or histopathology in mice. Conclusions. GnRHa-ICG specifically recognized and localized endometriotic lesions and guided complete resection of lesions with high accuracy. [ABSTRACT FROM AUTHOR]

Electrochemical water splitting is considered to be an important method for efficient hydrogen production to alleviate energy shortage and environmental pollution, but its development is currently limited by the slow oxygen evolution reaction (OER). To solve the sluggish reaction kinetics of OER, the focus is on the exploration of low-cost and efficient electrocatalysts, which is quite significant for the development of electrochemical water splitting. Herein, a NiFe layered double hydroxides (LDH) electrocatalyst (denoted as FNH) is achieved by a simple one-step hydrothermal method. The experimental results show that due to the synergistic interaction of introduced Fe species, the FNH possesses a special three-dimensional (3D) vertical nanosheet array structure, which results in efficient ion access. More importantly, the strong electronic interaction between Fe and Ni sites results in the optimized electronic structure of the Ni sites, which not only generates abundant Ni3+ sites as optimized active sites for OER, but also decrease the charge transfer resistance. Thus, the FNH catalyst exhibits an extraordinary overpotential of 386.8 mV to deliver 100 mA cm−2, showing better activity than that of RuO2, and satisfactory cycling stability after continuous operation for 28 h. Our work provides an easy-to-implement method to obtain high-efficiency OER electrocatalysts. [ABSTRACT FROM AUTHOR]

In order to study the characteristics of fire smoke spread and temperature distribution of a large indoor pedestrian street under different heat release rates and smoke exhaust modes, this paper focuses on the analysis of fire smoke spread, visibility, smoke temperature distribution and variation curves in an atrium. This paper uses a numerical simulation method to conduct research. PyroSim fire simulation software is used to calculate this project, which is based on a full-scale experimental design scheme. The numerical simulation results show that under the conditions of higher heat release rate, the smoke spread rate is greater than that under the conditions of lower heat release rate. Furthermore, the average temperature of smoke in the atrium is also greater, up to about 400 °C. The conditions of a higher heat release rate also show the characteristics of faster generation, faster spread and a larger volume of smoke. When the smoke exhaust system is turned on, the thickness of the smoke layer and the smoke temperature decrease. There then comes a situation where the stabile section of the fire ends in advance. The simulation results of vertical temperature distribution in an atrium can fit the modified McCaffrey plume model in any case. Under all cases, the smoke temperature reaches the maximum directly above the fire source. The horizontal dimensionless smoke temperature rises under the atrium roof, and decreases exponentially with the dimensionless distance from the fire source. The greater the heat release rate of fire source is, the smaller the attenuation coefficient is, with a more than 50% change. When the smoke exhaust system is turned on, the smoke flow accelerates and the smoke is cooled rapidly. Thus, the attenuation coefficient increases. Additionally, the effect of mechanical smoke exhaust is better than natural smoke exhaust, because mechanical smoke exhaust makes air flow and heat exchange more intense. The variation amplitudes of the attenuation coefficient under natural smoke exhaust and mechanical smoke exhaust are 13% and 22%, respectively. [ABSTRACT FROM AUTHOR]

Selective production of glucose from cellulose in a molten salt hydrate (MSH) shows high efficiency but the separation of glucose is still challenging. To address this issue, we proposed a stepwise method, where cellulose was first hydrolyzed into glucan oligomers and separated via anti-solvent precipitation, followed by being hydrolyzed into glucose under mild conditions. For potential industrial applications, using raw biomass as a substrate is more attractive due to its commercial advantages. However, directly hydrolyzing raw corn stover in an MSH resulted in a low glucan oligomer yield and sugar concentration, together with insufficient separation efficiency. This work demonstrated that the generation of acetic acid during hemicellulose hydrolysis is the critical factor affecting glucan oligomer selectivity. To address this issue, a pre-extraction method using auto-hydrolysis was proposed to remove hemicellulose before MSH hydrolysis. After pre-extraction, the obtained glucan oligomer yield could be enhanced from 59.9% to 79.5%, with the separation efficiency increased from 53.7% to 80.6% by methanol precipitation. Besides, increasing the raw corn stover concentration led to an increase in acetic acid and resulted in glucan oligomer degradation. However, after removing hemicellulose, the concentration of glucan oligomers could be significantly enhanced from less than 72.1 to 121.5 mg mL−1. Thus, pre-extraction of hemicellulose followed by MSH hydrolysis provides a potential application for directly producing glucan oligomers from raw biomass with improved yield and separation efficiency. [ABSTRACT FROM AUTHOR]

In this study, a series of numerical simulations were carried out to investigate the effect of fire shutter descending height on the smoke extraction efficiency in a large space atrium. Based on the full-scale fire experiments, this paper carried out more numerical simulations to explore factors affecting the smoke extraction efficiency in the atrium. The smoke flow characteristics, temperature distribution law and smoke extraction efficiency of natural and mechanical smoke exhaust systems were discussed under different heat release rates and fire shutter descending heights. The results show that the smoke spread rate and the average temperature of the smoke are higher with a greater heat release rate. After the mechanical smoke exhaust system is activated, the smoke layer thickness and smoke temperature decrease, and the stable period of heat release rate is shorter. In the condition of natural smoke exhaust, the smoke extraction efficiency increases exponentially with the increase of heat release rate and the descending height of the fire shutter, and the maximum smoke extraction efficiency is 48.8%. In the condition of mechanical smoke exhaust, the smoke extraction efficiency increases with the increase of mechanical exhaust velocity. When the velocity increases to the critical value (8 m/s), the smoke extraction efficiency is essentially stable. The smoke extraction efficiency is increased first with the increase of fire shutter descending height and then has a downward trend when the descending height drops to half, and the maximum smoke extraction efficiency is 70.3% in the condition of mechanical smoke exhaust. Empirical correlations between the smoke extraction efficiency and the dimensionless fire shutter descending height, the dimensionless heat release rate and the dimensionless smoke exhaust velocity have been established. The results of this study can provide a reference for the design of smoke prevention and exhaust systems in the atrium. [ABSTRACT FROM AUTHOR]

Sonodynamic therapy (SDT) typically suffers from compromised anticancer efficacy owing to the low reactive oxygen species (ROS) yield and complicated tumor microenvironment (TME) which can consume ROS and support the occurrence and development of tumors. Herein, ultrathin‐FeOOH‐coated MnO2 nanospheres (denoted as MO@FHO) as sonosensitizers which can not only facilitate ultrasound (US)‐triggered ROS but also tune the TME by hypoxia alleviation, H2O2 consumption as well as glutathione (GSH) depletion are designed. The FeOOH coating will boost the production yield of singlet oxygen (1O2) and hydroxyl radicals (•OH) by inhibiting the recombination of US‐initiated electron–hole pairs and Fenton‐like reaction, respectively. Additionally, the catalase‐like and GSH peroxidase‐like activities of MO@FHO nanospheres enable them to break the TME equilibrium via hypoxia alleviation and GSH depletion. The combination of high ROS yield and fundamental destruction of TME equilibrium results in satisfactory antitumor outcomes, as demonstrated by the high tumor suppression efficacy of MO@FHO on MDA‐MB‐231‐tumor‐bearing mice. No obvious toxicity is detected to normal tissues at therapeutic doses in vivo. The capability to modulate the ROS production and TME simultaneously can afford new probability for the development of advanced sonosensitizers for synergistic comprehensive cancer therapy. [ABSTRACT FROM AUTHOR]

Selective production of glucose from the hydrolysis of cellulose is the key step for efficient utilization of lignocellulose biomass. Crystalline cellulose can be dissolved and hydrolyzed into glucose with a high selectivity in molten salt hydrates (MSHs). However, the separation of the formed glucose is challenging due to its high solubility in the MSHs. To address this issue, a stepwise method is introduced, where cellulose is hydrolyzed into short-chain glucan oligomers in the MSH of LiBr. We demonstrate that compared to glucose, the formed glucan oligomers with a degree of polymerization of 4–11 can be efficiently separated from the MSH hydrolysate using an anti-solvent precipitation method. The separated oligomers can be readily converted into glucose under mild conditions and used for other applications. Under optimized conditions, 90.3% of glucan oligomer can be produced from crystalline cellulose and separated from the MSH with the addition of methanol, and the precipitated glucan oligomer can be hydrolyzed into glucose with a yield of 99.7% using dilute sulfuric acid. We show that the precipitation efficiency is influenced by the glucan oligomer chain length, glycoside bond type and concentration. Moreover, the separation of a glucan oligomer from a cotton straw hydrolysate was also investigated in the MSH. 79.2% yield of glucan oligomer was obtained from the hydrolysis of cotton straw at 130 °C for 2 h. With the addition of methanol, the glucan oligomer was precipitated with a selectivity of 60.8%. [ABSTRACT FROM AUTHOR]

Intraoperative diagnosis of metastatic tumors is of significant importance to the treatment of ovarian cancer. NIR‐II fluorescence imaging holds great promise for facile detection of tumor in situ with high sensitivity and resolution. Herein, a kind of NIR‐II fluorescent polymer dots (NIR‐II Pdots) with high brightness is developed for real‐time detection of metastatic ovarian cancer via NIR‐II fluorescence imaging. The NIR‐II Pdots are constructed via the self‐assembly of NIR‐II emissive aggregation induced emission luminogens (NIR‐II AIEgens) and poly (styrene)‐graft‐poly(ethylene glycol) in water. Such NIR‐II Pdots show very high fluorophore contents of nearly 30% and high quantum yield of 5.4% at emission maximum near 1020 nm. Further modification of the NIR‐II Pdots with targeting peptides yields NIR‐II Pdots‐GnRH, which can afford enhanced affinity of NIR‐II Pdots to ovarian cancer. Upon intravenous injection of the NIR‐II Pdots, whole‐body organs and vessels, peritoneal and lymphatic metastases of ovarian cancer are clearly visualized by NIR‐II fluorescence imaging. Under the guidance of NIR‐II fluorescence imaging, the metastatic foci with the diameter down to ≈2 mm can be facilely eliminated. The results indicate preclinical potential value of the NIR‐II Pdots for metastatic ovarian cancer detection. [ABSTRACT FROM AUTHOR]

Molten salt hydrate (MSH) is unique in cellulose dissolution and in one-pot conversion of crystalline cellulose into 5-hydroxymethylfurfural (5-HMF). However, low yield of 5-HMF was obtained using raw biomass substrate in MSHs. Herein, we investigated conversion of raw biomass towards HMF using MSHs. We showed that the release of acetic acid from hemicellulose degradation in MSH is a key to influence the yield of 5-HMF. Thus, an autohydrolysis pretreatment method was proposed to remove hemicellulose before conversion of cellulose into 5-HMF. After being pretreated at 180 °C for 40 min, hemicellulose was removed from biomass with 91.8% yield of cellulose remained in solid part. By eliminating the negative effect of acetic acid, 5-HMF yield was significantly improved from 40.9% to 64.6%, together with 9.3% yield of glucose for cellulose conversion in MSH/acetone at 180 °C for 20 min. [ABSTRACT FROM AUTHOR]

Background: Pneumothorax (PTX) may cause a life-threatening medical emergency with cardio-respiratory collapse that requires immediate intervention and rapid treatment. The screening and diagnosis of pneumothorax usually rely on chest radiographs. However, the pneumothoraces in chest X-rays may be very subtle with highly variable in shape and overlapped with the ribs or clavicles, which are often difficult to identify. Our objective was to create a large chest X-ray dataset for pneumothorax with pixel-level annotation and to train an automatic segmentation and diagnosis framework to assist radiologists to identify pneumothorax accurately and timely.Methods: In this study, an end-to-end deep learning framework is proposed for the segmentation and diagnosis of pneumothorax on chest X-rays, which incorporates a fully convolutional DenseNet (FC-DenseNet) with multi-scale module and spatial and channel squeezes and excitation (scSE) modules. To further improve the precision of boundary segmentation, we propose a spatial weighted cross-entropy loss function to penalize the target, background and contour pixels with different weights.Results: This retrospective study are conducted on a total of eligible 11,051 front-view chest X-ray images (5566 cases of PTX and 5485 cases of Non-PTX). The experimental results show that the proposed algorithm outperforms the five state-of-the-art segmentation algorithms in terms of mean pixel-wise accuracy (MPA) with [Formula: see text] and dice similarity coefficient (DSC) with [Formula: see text], and achieves competitive performance on diagnostic accuracy with 93.45% and [Formula: see text]-score with 92.97%.Conclusion: This framework provides substantial improvements for the automatic segmentation and diagnosis of pneumothorax and is expected to become a clinical application tool to help radiologists to identify pneumothorax on chest X-rays. [ABSTRACT FROM AUTHOR]

Background: Most cancers favor glycolytic-based glucose metabolism. Hexokinase-2 (HK2), the first glycolytic rate-limiting enzyme, shows limited expression in normal adult tissues but is overexpressed in many tumor tissues, including ovarian cancer. HK2 has been shown to be correlated with the progression and chemoresistance of ovarian cancer and could be a therapeutic target. However, the systemic toxicity of HK2 inhibitors has limited their clinical use. Since follicle-stimulating hormone (FSH) receptor (FSHR) is overexpressed in ovarian cancer but not in nonovarian healthy tissues, we designed FSHR-mediated nanocarriers for HK2 shRNA delivery to increase tumor specificity and decrease toxicity. Results: HK2 shRNA was encapsulated in a polyethylene glycol-polyethylenimine copolymer modified with the FSH β 33–53 or retro-inverso FSH β 33–53 peptide. The nanoparticle complex with FSH peptides modification effectively depleted HK2 expression and facilitated a shift towards oxidative glucose metabolism, with evidence of increased oxygen consumption rates, decreased extracellular acidification rates, and decreased extracellular lactate and glucose consumption in A2780 ovarian cancer cells and cisplatin-resistant A2780CP counterpart cells. Consequently, cell proliferation, invasion and migration were significantly inhibited, and tumor growth was suppressed even in cisplatin-resistant ovarian cancer. No obvious systemic toxicity was observed in mice. Moreover, the nanoparticle complex modified with retro-inverso FSH peptides exhibited the strongest antitumor effects and effectively improved cisplatin sensitivity by regulating cisplatin transport proteins and increasing apoptosis through the mitochondrial pathway. Conclusions: These results established HK2 as an effective therapeutic target even for cisplatin-resistant ovarian cancer and suggested a promising targeted therapeutic approach. [ABSTRACT FROM AUTHOR]

Molten salt hydrates (MSH) are unique in overcoming the characteristic recalcitrance of crystalline cellulose. We show that cellulose can be efficiently hydrolyzed into short-chain oligomers and glucose under mild conditions in concentrated LiBr solution without using any additional acid catalyst. Under optimized reaction conditions, short-chain oligomers with a yield of 90.4% can be obtained. Selective hydrolysis in the MSH is effective even at a high initial cellulose concentration (higher than 10 wt%). The obtained oligomers are solvated and soluble in the MSH. We show that amorphous carbon of a large surface area is effective for adsorption of the short-chain oligomers, cellobiose, and glucose from the MSH. The adsorption capacity and adsorption affinity of the carbon increases by ∼4 and ∼15 times in MSH with increasing the oligomer chain length compared to glucose and is negatively influenced by the ion concentration of the MSH. A stepwise hydrolysis process for converting crystalline cellulose into glucose is developed, whereby cellulose is firstly hydrolyzed into soluble short-chain oligomers in the MSH. The oligomers are then separated from the MSH using amorphous carbon and finally hydrolyzed into glucose under mild reaction conditions. [ABSTRACT FROM AUTHOR]

This paper considers the numerical approximation for the optimal supporting position and related optimal control of a catalytic reaction system with some control and state constraints, which is governed by a nonlinear partial differential equations with given initial and boundary conditions. By the Galerkin finite element method, the original problem is projected into a semi-discrete optimal control problem governed by a system of ordinary differential equations. Then the control parameterization method is applied to approximate the control and reduce the original system to an optimal parameter selection problem, in which both the position and related control are taken as decision variables to be optimized. This problem can be solved as a nonlinear optimization problem by a particle swarm optimization algorithm. The numerical simulations are given to illustrate the effectiveness of the proposed numerical approximation method. [ABSTRACT FROM AUTHOR]

This paper proposes a numerical approximation method for computational optimal control of a time fractional convection-diffusion-reaction system. The proposed method involves discretizing the spatial domain by finite element method, approximating the admissible controls by control parameterization, and then obtaining an optimal parameter selection problem which can be solved by numerical optimization algorithms such as sequential quadratic programming. Specifically, an implicit finite difference method is employed to solve the time fractional system, and the sensitivity method for gradient computation in integer order optimal control problems is adjusted to the fractional order case. Simulation results demonstrate the validity and accuracy of the proposed numerical approximation method. [ABSTRACT FROM AUTHOR]

• Anammox bacteria were in situ highly enriched to 2.22% under the mainstream. • Anammox loss was decreased when SS exist, while denitrification was increased. • Metagenomic sequencing revealed SS weakened NO→N 2 but enhanced NO 3 −→NO. • Migration mechanism of anammox in biofilm alleviated the adverse effect of SS. • Novel real-time pH strategy on controlling PD/A process was firstly proposed. The basic premise of anammox-technical application reliability in municipal wastewater treatment is substantially enriched anammox bacteria. To enrich the anammox, the special interaction mechanism between the suspended sludge (SS) and anoxic biofilm was investigated over three months in a partial denitrification/anammox biosystem subjected to dynamic changes in SS (absence→ presence→ absence). Results show that the introduction of SS significantly decreased the anammox nitrogen removal efficiency (83.8 ± 6.5%→ 48.7 ± 17.0%). With the presence or absence of SS, the spatial distribution of anammox bacteria within the anoxic biofilm gradually changed between the inner and outer layers, as detected by CLSM-FISH. qPCR and metagenomic sequencing show that changes in the presence and absence status of SS significantly reduced the abundance of the NO reducing functional gene, while the NO supply capacity (NO 3 −→NO) was improved, further favoring the anammox process. Batch tests and typical cycles further demonstrated that the anammox bacteria can stably acquire NO 2 −, and anammox bacteria in the anoxic biofilm competed far more NO 2 − than denitrifying bacteria according to the typical pH curve. Accordingly, the abundance of Candidatus Brocadia, as detected by high throughput sequencing, decreased in the anoxic biofilms with the introduction of SS, but greatly increased (0.82%→2.22%) after SS discharge. This study sheds new light on the high in-situ enrichment of anammox in mainstream. [Display omitted] [ABSTRACT FROM AUTHOR]

Herein, an oxygen defect-modulated zinc oxide sonosensitizer is designed, which enhances the absorbance of ultrasound energy and suppresses the recombination of ultrasound-initiated electrons and holes to promote reactive oxygen species yield. It achieves a high tumor inhibition efficiency of 79.9%, which exhibits a potential application for sonodynamic cancer therapy. [ABSTRACT FROM AUTHOR]

A series of rare earth metals supported on carbon nanotube (CNT) were tested for the catalytic depolymerization of lignin. The supported cerium (Ce) and lanthanum (La) on CNT were firstly characterized by TEM and N 2 -BET, respectively. The as-prepared catalysts were efficient to depolymerize lignin, whereas 86.1% liquefied fuel yield was obtained at the conditions of 260 °C, 1 h with Ce/CNT catalyst. The catalyst presented high activity even after four times recycle and the yield of liquefied fuel still kept 82.0%. The liquefied fuel were evaluated to be a premium fuel with high contents of C and H and low content of O, together with high calorific value. From these tested results, it is clear to find that Ce/CNT is an effective catalyst which can depolymerize lignin under mild conditions. [ABSTRACT FROM AUTHOR]

This paper considers the numerical approximation for the time optimal control problem of a thermoelastic system with some control and state constraints. By the Galerkin finite element method (FEM), the original problem is projected into a semidiscrete optimal control problem governed by a system of ordinary differential equations. Then the optimal time and control parameterization method is applied to reduce the original system to an optimal parameter selection problem, in which both the optimal time and control are taken as decision variables to be optimized. This problem can be solved as a nonlinear optimization problem by a hybrid algorithm consisting of chaotic particle swarm optimization (CPSO) and sequential quadratic programming (SQP) algorithm. The numerical simulations demonstrate the effectiveness of the proposed numerical approximation method. [ABSTRACT FROM AUTHOR]

A two-stage pretreatment process is proposed in this research in order to improve sugar recovery from corn stover. In the proposed process, corn stover is hydrolyzed by dilute hydrochloric acid to recover xylose, which is followed by a Fenton reagent oxidation to remove lignin. 0.7 wt% dilute hydrochloric acid is applied in the first stage pretreatment at 120 °C for 40 min, resulting in 81.0% xylose removal. Fenton reagent oxidation (1 g/L FeSO 4 ·7H 2 O and 30 g/L H 2 O 2 ) is performed at room temperature (about 20 °C) for 12 has a second stage which resulted in 32.9% lignin removal. The glucose yield in the subsequent enzymatic hydrolysis was 71.3% with a very low cellulase dosage (3 FPU/g). This two-stage pretreatment is effective due to the hydrolysis of hemicelluloses in the first stage and the removal of lignin in the second stage, resulting in a very high sugar recovery with a low enzyme loading. [ABSTRACT FROM AUTHOR]

A two-stage process was evaluated to increase sugar recovery. Firstly, corn stover was treated with dilute hydrochloric acid to recover the xylose, and then the residue was subjected to a wet-milling pretreatment. Dilute hydrochloric acid showed a high xylose recovery during the first stage. The optimal condition was 120 °C and 40 min for 0.7 wt% dilute hydrochloric acid pretreatment followed by wet-milling pretreatment for 15 min. The xylose and glucose yield were 81.0% and 64.0%, respectively, with a cellulase dosage at 3 FPU/g of substrate. This two-stage process was effective on account of the removal of hemicelluloses in the first stage and the delamination of cell wall in the second stage, increasing the possibility of adsorption of cellulose to enzymes, and resulting in a high sugar recovery with a very low enzyme loading. [ABSTRACT FROM AUTHOR]

[Display omitted] • Anammox contribution to nitrogen removal was robustly maintained at 91.3 ± 6.6 %. • Compared with stable NO 3 – → NO 2 –, NO 2 – → N 2 was sensitive to temperature reduction. • Anammox abundance was increased (0.56% to 1.22%) despite of decreased temperature. • NO 2 – accumulation at lower temperature was unexpectedly helpful to enrich anammox. Effluent quality deterioration caused by seasonal temperature reductions in wastewater treatment systems using partial anammox technology is a challenge that cannot be ignored. Here, relationships of denitrification and anammox under decreasing temperature were investigated in an anoxic moving bed biofilm reactor (MBBR). Compared with stable partial-denitrification (NO 3 – → NO 2 –), the NO 2 – reduction to N 2 was considerably inhibited when the temperature decreased, conversely helping to the competition of NO 2 – for anammox. Namely, this transformation provided sufficient substrates for anammox bacteria. Although the TIN removal decreased slightly, anammox contribution was robustly maintained at 91.3 ± 6.6 %, even increased. High-throughput sequencing results revealed that anammox bacteria were enriched (0.56 % to 1.22 %). Moreover, qPCR results showed that increased ratio of hzsB /(nirK + nirS) further supported anammox gained an enhancement. This study demonstrated partial-denitrification/anammox process using anoxic MBBR could maintain stable autotrophic nitrogen removal contribution when encountering temperature decrease, providing a new perspective on the application of mainstream anammox. [ABSTRACT FROM AUTHOR]

This study examines the hepatoprotective activity of naringin loaded solid nanoparticles (NRG-SLNs) and compared with free naringin (FNRG) against aflatoxin B1 (AFB1) induced hepatocellular carcinoma. The liver's self-healing ability was studied using a self-recovery group that received no therapy. Following AFB1 therapy, rats were given NRG-SLNs produced using the ion-gelation technique. Histology, serum injury indicators, oxidative stress biomarkers, a pro-inflammatory response biomarker, and tumor indicators were used to evaluate the liver tumor and its responsiveness to therapy. At a dosage of 6.18 mg/kg BW, NRG-SLNs (128 ± 4 nm) provided substantially greater hepatoprotection than free NRG. The actions of NRG-SLNs were equivalent to those of silymarin (SILY), which was given at a dosage of 20 mg/kg BW. The lack of regeneration potential of liver tissue after the damage was verified by the self-recovery group. NRG's efficiency in treating hepatic cancer was increased by using SLN's approach. The increased impact is most likely due to: a) enhanced oral bioavailability, b) the regulated and sustained action of enclosed NRG, and c) a decrease in discomfort and toxicity if any after orally administered. NRG-SLNs may be considered as a therapeutic option for hepatic ailments as effectiveness post-induction of liver carcinoma, is demonstrated presently. • Aflatoxins are very poisonous secondary metabolites generated by several fungus species. • NRG has anti-oxidant and anti-inflammatory properties both in vitro and in vivo. • NRG packed into solid lipid nanoparticles for increasing a bioavailability. • NRG-SLNs produced using the ion-gelation technique. [ABSTRACT FROM AUTHOR]

The rapid growth of data and the requirement of designers to track massive data to obtain design stimuli have posed challenges to conceptual design, thereby promoting the development of data-driven design. Concept networks precisely capture design information from a large volume of unstructured and heterogeneous textual data and saliently decrease time and labor cost for designers to read texts, which creates new opportunities for developing a smart product design system. To advance data-driven design, this study proposes the novel function-structure concept network (FSCN) construction method, which combines sentence parsing and word/phrase extraction to integrate functional and structural information. Furthermore, a network analysis method is proposed to explore design information associations that contain both explicit and implicit associations together and thereby recommend them simultaneously to designers as inspirational stimuli to support design ideation. This approach can enhance designers' capabilities to build associations between design information, conceive new design ideas during conceptual design, and increase creativity for solving design problems. The proposed FSCN construction and analysis method can be used as an auxiliary tool to visualize associations among design information so as to inspire idea generation in the early stage of conceptual design. An illustrative example was used to validate the practicability of the proposed methodology. The code of the proposed method is available at https://github.com/KWflyer/FSCN. [ABSTRACT FROM AUTHOR]

Molten salt hydrates (MSHs) are remarkable in breaking through the recalcitrant structure of microcrystalline cellulose and raw biomass. After being pretreated in 60 wt% LiBr at 130 °C for 2 h, cellulose crystallinity as well as degree of polymerization (DP) decreased. It was found that 91.3% yield of pretreated cellulose was removed from MSHs by filteration followed by being hydrolyzed into glucose with a high yield of 75.3% by dilute acid under mild reaction conditions. The pretreatment process also works on raw corn stover hydrolysis. After being pretreated at 100 °C for 5 h, 88.4% yield of cellulose in biomass was recovered and can be hydrolyzed into 54.9% yield of glucose with dilute acid. It was found that the cellulose in corn stover can be easier degraded compared with microcrystalline cellulose during MSHs pretreatment, which dues to the formation of acetic acid from hemicellulose hydrolysis. The proposed pretreatment technique presents a promising potential for glucose production from biomass in a commercial way. Unlabelled Image • MSHs pretreatment effectively decreased cellulose crystallinity and DP. • After being pretreated at 130°C for 2 h, 91.3% of cellulose was removed from MSHs via filtration. • Enhanced glucose yield of 75.3% was obtained from pretreated cellulose hydrolysis at mild condition. • 88.4% cellulose recovery and 54.9% glucose yield were obtained from MSHs pretreatment and hydrolysis, respectively. [ABSTRACT FROM AUTHOR]

Among various charge‐carrier ions for aqueous batteries, non‐metal hydronium (H3O+) with small ionic size and fast diffusion kinetics empowers H3O+‐intercalation electrodes with high rate performance and fast‐charging capability. However, pure H3O+ charge carriers for inorganic electrode materials have only been observed in corrosive acidic electrolytes, rather than in mild neutral electrolytes. Herein, we report how selective H3O+ intercalation in a neutral ZnCl2 electrolyte can be achieved for water‐proton co‐intercalated α‐MoO3 (denoted WP‐MoO3). H2O molecules located between MoO3 interlayers block Zn2+ intercalation pathways while allowing smooth H3O+ intercalation/diffusion through a Grotthuss proton‐conduction mechanism. Compared to α‐MoO3 with a Zn2+‐intercalation mechanism, WP‐MoO3 delivers the substantially enhanced specific capacity (356.8 vs. 184.0 mA h g−1), rate capability (77.5 % vs. 42.2 % from 0.4 to 4.8 A g−1), and cycling stability (83 % vs. 13 % over 1000 cycles). This work demonstrates the possibility of modulating electrochemical intercalating ions by interlayer engineering, to construct high‐rate and long‐life electrodes for aqueous batteries. [ABSTRACT FROM AUTHOR]

Among various charge‐carrier ions for aqueous batteries, non‐metal hydronium (H3O+) with small ionic size and fast diffusion kinetics empowers H3O+‐intercalation electrodes with high rate performance and fast‐charging capability. However, pure H3O+ charge carriers for inorganic electrode materials have only been observed in corrosive acidic electrolytes, rather than in mild neutral electrolytes. Herein, we report how selective H3O+ intercalation in a neutral ZnCl2 electrolyte can be achieved for water‐proton co‐intercalated α‐MoO3 (denoted WP‐MoO3). H2O molecules located between MoO3 interlayers block Zn2+ intercalation pathways while allowing smooth H3O+ intercalation/diffusion through a Grotthuss proton‐conduction mechanism. Compared to α‐MoO3 with a Zn2+‐intercalation mechanism, WP‐MoO3 delivers the substantially enhanced specific capacity (356.8 vs. 184.0 mA h g−1), rate capability (77.5 % vs. 42.2 % from 0.4 to 4.8 A g−1), and cycling stability (83 % vs. 13 % over 1000 cycles). This work demonstrates the possibility of modulating electrochemical intercalating ions by interlayer engineering, to construct high‐rate and long‐life electrodes for aqueous batteries. [ABSTRACT FROM AUTHOR]

Background: Accurate segmentation of brain glioma is a critical prerequisite for clinical diagnosis, surgical planning and treatment evaluation. In current clinical workflow, physicians typically perform delineation of brain tumor subregions slice‐by‐slice, which is more susceptible to variabilities in raters and also time‐consuming. Besides, even though convolutional neural networks (CNNs) are driving progress, the performance of standard models still have some room for further improvement. Purpose: To deal with these issues, this paper proposes an attention‐guided multi‐scale context aggregation network (AMCA‐Net) for the accurate segmentation of brain glioma in the magnetic resonance imaging (MRI) images with multi‐modalities. Methods: AMCA‐Net extracts the multi‐scale features from the MRI images and fuses the extracted discriminative features via a self‐attention mechanism for brain glioma segmentation. The extraction is performed via a series of down‐sampling, convolution layers, and the global context information guidance (GCIG) modules are developed to fuse the features extracted for contextual features. At the end of the down‐sampling, a multi‐scale fusion (MSF) module is designed to exploit and combine all the extracted multi‐scale features. Each of the GCIG and MSF modules contain a channel attention (CA) module that can adaptively calibrate feature responses and emphasize the most relevant features. Finally, multiple predictions with different resolutions are fused through different weightings given by a multi‐resolution adaptation (MRA) module instead of the use of averaging or max‐pooling to improve the final segmentation results. Results: Datasets used in this paper are publicly accessible, that is, the Multimodal Brain Tumor Segmentation Challenges 2018 (BraTS2018) and 2019 (BraTS2019). BraTS2018 contains 285 patient cases and BraTS2019 contains 335 cases. Simulations show that the AMCA‐Net has better or comparable performance against that of the other state‐of‐the‐art models. In terms of the Dice score and Hausdorff 95 for the BraTS2018 dataset, 90.4% and 10.2 mm for the whole tumor region (WT), 83.9% and 7.4 mm for the tumor core region (TC), 80.2% and 4.3 mm for the enhancing tumor region (ET), whereas the Dice score and Hausdorff 95 for the BraTS2019 dataset, 91.0% and 10.7 mm for the WT, 84.2% and 8.4 mm for the TC, 80.1% and 4.8 mm for the ET. Conclusions: The proposed AMCA‐Net performs comparably well in comparison to several state‐of‐the‐art neural net models in identifying the areas involving the peritumoral edema, enhancing tumor, and necrotic and non‐enhancing tumor core of brain glioma, which has great potential for clinical practice. In future research, we will further explore the feasibility of applying AMCA‐Net to other similar segmentation tasks. [ABSTRACT FROM AUTHOR]

The conventional fractionation of lignocellulose into cellulose, hemicellulose, and lignin was generally carried out at high temperatures and under highly acidic conditions owing to the rigid matrix of lignocellulose and crystallinity of cellulose, causing the degradation of carbohydrates and condensation of lignin, thus hindering their value-added utilization. In this study, a stepwise fractionation method was proposed in which microwave-assisted fractionation of hemicellulose under mild conditions contributed to 81.9% of xylose yield; then, the cellulose part solid was rapidly dissolved in LiBr molten salt hydrate (LiBr-MSH) solution, followed by a filtration process to isolate lignin solid. It was found that the removal of hemicellulose provided more pores for the next dissolution of cellulose, and LiBr-MSH caused the cleavage of the hydrogen bonds of cellulose. Consequently, the cellulose part solid was rapidly dissolved in LiBr-MSH. The results showed that under the optimal fractionation conditions, 78.0% yield of glucan oligomers and 89.7% purity of noncondensed lignin were obtained from cellulose fractionation and filtration, respectively. A high β-O-4 bond content close to 87.3% of the theoretical maximum yield was detected in the obtained lignin, indicating that most β-O-4 bond structure of lignin was well preserved. Additionally, the isolated lignin can be selectively depolymerized into aromatic monomers with a high yield of 20.4%, which is 74.2% of the theoretical maximum yield. [ABSTRACT FROM AUTHOR]

Background: Cardiovascular disease (CVD) is the leading cause of mortality, and vascular calcification has been highly correlated with CVD events. Abdominal aortic calcification (AAC) has been shown to predict subclinical CVD and incident CVD events. However, the relationship between vitamin C and abdominal aortic calcification remains unclear. Objective: To investigate the relationship of dietary vitamin C with AAC among the adult population in the US. Methods: The National Health and Nutrition Examination Survey (NHANES) 2013–2014 provided the data for the cross-sectional study. 2297 subjects (1089 males) were included in the study. Two scoring systems, AAC 24-point scale (Kauppila) and AAC 8-point scale (Schousboe), were used for the measurement of AAC score. Dietary vitamin C intake was calculated as the average of two rounds of 24-h interview recall data and classified in tertiles for analysis. We applied weighted multiple regression analyses to assess the relationship of dietary vitamin C with AAC score and the risk of having AAC. To ensure the robustness of the findings, subgroup and sensitivity analyses were performed. Additionally, smooth curve fittings, using generalized additive models (GAM) were employed to visualize potential nonlinear relationships. Furthermore, an exploratory analysis on the relationship of vitamin C supplements with AAC was also conducted. Results: The results showed that higher dietary vitamin C intake was related to a reduction in AAC score (AAC-24: β = -0.338, 95% confidence interval [CI] -0.565, -0.111, P = 0.004; AAC-8: β = -0.132, 95%CI -0.217, -0.047, P = 0.002), and lower risk of AAC (odds ratio [OR] = 0.807, 95%CI 0.659, 0.989, P = 0.038). However, the relationship of vitamin C supplements with AAC was not identified. Conclusions: The study revealed that higher intake of dietary vitamin C rather than vitamin C supplements was related to reduced AAC score and lower risk of AAC, indicating that diets rich in vitamin C are recommended due to its potential benefits for protecting against vascular calcification and CVD among the adult population in the US. [ABSTRACT FROM AUTHOR]

Metal oxides hold great promise as robust sonosensitizers for sonodynamic therapy (SDT). However, they usually suffer from limited production yield of reactive oxygen species (ROS) due to the fast recombination of ultrasound‐triggered electrons and holes. Herein, porous lanthanum (La)‐doped MnO2 (LMO) nanoparticles are firstly developed as promising sonosensitizers in SDT. The strategic introduction of La dopants greatly promotes the separation efficiency of ultrasound‐triggered electrons and holes of MnO2, endowing them with significantly improved ROS yield. Consequently, the LMO with polyethylene glycol decoration exhibits good SDT activity toward breast cancer cells. This work highlights the doping strategy for the development of enhanced ROS production of metal oxide sonosensitizers for SDT. [ABSTRACT FROM AUTHOR]

[Display omitted] • Anammox coupled with partial denitrification enhanced to nitrogen removal above 55%. • Ultra-high abundance of Ca. Brocadia (5.5, 6.5%, 5.8%) in connected anoxic biofilms. • Ca. Brocadia sapporoensis is acetate-resistant, explaining its high enrichment in biofilms. • Anammox activity increased with decreasing denitrifying activity along anoxic zones. For municipal wastewater treatment via partial-denitrification/anammox (PD/A) in the anoxic zone, the primary challenge is effective enrichment of anaerobic ammonium oxidation (anammox) bacteria with a stable autotrophic nitrogen removal performance. This long-term study investigated a pure-biofilm anoxic/oxic reactor using real municipal wastewater with an ammonia concentration of 49.1 ± 3.6 mg N/L, achieving a total inorganic nitrogen concentration of 11.2 ± 3.5 mg N/L in the effluent, resulting in a removal efficiency of 77.4 ± 7.2%. Driven by partial denitrification, the anammox contribution to total nitrogen removal represented an ultra-high level over 55%, and was considerable in the first anoxic zone. Candidatus Brocadia, the only anammox genus detected by 16S rRNA gene sequencing, reached robust abundances of 5.46, 6.49 and 5.79% in the three sequentially connected anoxic zones. Metagenomic sequencing further identified that the main species was Ca. Brocadia sapporoensis, which is inhibited by nitrite but not by acetate, supporting its high-level enrichment under acetate conditions in the anoxic zone. Batch tests indicate that heterotrophic denitrification activity decreased while anammox activity increased along the anoxic zones, and that excessive heterotrophic denitrifying activity was not conducive to increasing the anammox contribution. This study achieved robust anammox bacterial abundance using a pure-biofilm system, shedding fresh light on the application of mainstream anammox in municipal wastewater treatment. [ABSTRACT FROM AUTHOR]

Highlights • DA-AWO pretreatment is superior to AWO-DA in improving enzymatic hydrolysis. • Ammonium hydroxide wet oxidation can significantly remove the lignin. • DA-AWO was an effective pretreatment process. • 71.5% of glucan yield was achieved at a low enzyme loading of 3 FPU·g−1 substrate. Abstract Two-stage dilute hydrochloric acid (DA)/aqueous ammonia wet oxidation (AWO) pretreatment was used to recover the sugars of corn stover. The morphology characterizations of samples were detected by SEM, BET and SXT. The results showed that DA-AWO process demonstrated a positive effect on sugar recovery compared to AWO-DA. 82.8% of xylan was recovered in the first stage of DA-AWO process at 120 °C for 40 min with 1 wt% HCl. The second stage was performed under relative mild reaction conditions (130 °C, 12.6 wt% ammonium hydroxide, 3.0 MPa O 2 , 40 min), and 86.1% lignin could be removed. 71.5% of glucan was achieved with a low enzyme dosage (3 FPU·g−1) in the following enzymatic hydrolysis. DA-AWO pretreatment was effective due to its sufficient hydrolysis of hemicellulose in the first stage and remarkably removal of the lignin in the second stage, resulting in high sugar recovery with a low enzyme dosage. [ABSTRACT FROM AUTHOR]

Deep-learning-based regression model composed of stacked auto-encoders (SAE) and fully-connected neural network (FNN) was used for the detection and quantification of nitrogen (N) concentration in oilseed rape leaf. SAE was applied to extract deep spectral features from visible and near-infrared (380–1030 nm) hyperspectral image of oilseed rape leaf, and then these features were used as input data for FNN to predict N concentration. The SAE-FNN model achieved reasonable performance with R 2 P  = 0.903, RMSEP =0 .307% and RPD P  = 3.238 for N concentration. Results confirmed the possibility of rapid and nondestructive detecting N concentration in oilseed rape leaf by the combination of hyperspectral imaging technique and deep learning method. [ABSTRACT FROM AUTHOR]

In this study, we explored the effects of cold ischemia on chronic steatosis and lipid signaling in vivo. Sprague Dawley (SD) rat models of chronic steatosis were established. Pathological observations and liver indices were assessed through hematoxylin-eosin (HE)- and Oil Red O staining. Autophagy and metabolism in adipose tissue were analyzed under post-ischemia and hypoxic conditions via western blotting and immunofluorescent analysis. We found that cold ischemia treatment exacerbated hepatic steatosis and reduced lipid phagocytosis. This manifested as a loss of Microtubule-associated protein 1A/1B-light chain 3 (LC3) and Perilipin 2 (PLIN2), and lower levels of autophagy. Cold ischemia also inhibited lipophagy in transplanted rat livers, most notably in moderate-to-severe steatosis models. Ischemia and hypoxia inhibited lipid phagocytosis and increased lipid accumulation. Collectively, these data show that chronic steatosis aggravates cold storage induced acute ischemic injury in rat donor livers through the inhibition of lipophagy. Moderate-to-severe steatosis therefore influences the postoperative recovery of liver transplant recipients, which should be immediately transplanted to reduce the risk of cold ischemia. • A lack of suitable donors is a problem for patients requiring liver transplantation. • Here, we investigated the effects of cold ischemia on lipid signalling. • Sprague Dawley (SD) rat models of chronic steatosis were established. • Cold ischemia was found to exacerbate hepatic steatosis. • Immediate transplant of steatosis livers is crucial to reduce the risk of cold ischemia. [ABSTRACT FROM AUTHOR]

• Fast start-up of mainstream PD/A without inoculation in A2/O process in 60 days. • Rapid in situ enrichment of AnAOB (2.49%) on the virgin carriers in anoxic zone. • NRE improved 16.9% with a stable effluent TIN of 11.6 mg/L under low COD/N ratio. • Anammox contributed to nitrogen loss of 37.9 ± 6.2% treating actual municipal sewage. • Anoxic biofilm performed a better coordination between denitrifiers and AnAOB. It is of great significance to start up the anammox process in the most commonly used anaerobic-anoxic-oxic (A2/O) process in treating mainstream municipal wastewater. Recently, partial-denitrification/anammox (PD/A) has attracted increasing interest as a new avenue in mainstream. This study investigated the in situ start-up of PD/A process in a traditional A2/O process. The PD/A system was rapidly started up within 60 days by adding virgin carriers into the anoxic zone and then run stably for the next 90 days. The in situ anammox activity reached 1.0 ± 0.1 mg NH 4 +-N/L/h contributing 37.9 ± 6.2% of total nitrogen removal. As a result, the nitrogen removal efficiency of the system increased by 16.9%. The anammox bacteria (AnAOB) on the anoxic biofilms were enriched with a doubling time of 14.53d, and the relative abundance reached 2.49% on day 150. Phylogenetic analysis showed the dominant AnAOB was related to Ca. Brocadia sp. 40, which was the only detected anammox genus in the anoxic biofilm from start-up to stable operation. Batch tests and qPCR results revealed that compared with the floc sludge, the anoxic biofilms exhibited NO 2 − accumulation driven by PD and performed a better coordination between denitrifiers and AnAOB. Overall, this study provides great confidence for the in situ fast start-up of mainstream anammox using conventional activated sludge. [Display omitted] [ABSTRACT FROM AUTHOR]

Food quality assessment is an important part of the food industry. The traditional food quality assessment technologies have the limitations of inconsistent and different technical defects for each method. Data mining technology has significant advantages in dealing with the problems of uncertainty and fuzziness. Therefore, this study proposes a food quality assessment model based on data mining, which aims to realize the standardization and consistency of food quality assessment, and can achieve or exceed the accuracy of existing technologies, so as to solve the obvious problems existing in traditional assessment methods. The core of the proposed model is to design a deep learning framework based on double layer rough-refinement optimization. The first layer is rough optimization, which introduces the thought of multi-objective optimization to optimize the topological structure of neural networks with various candidate types and candidate depths. The second layer is refinement adjustment, which uses meta heuristic algorithm to globally optimize the weight parameters of the network model. The combination of rough and refinement optimization can greatly reduce the computation of overall simultaneous optimization and globally optimize the neural network model with the highest accuracy from the neural network type, topology, and network parameters. Two kinds of food quality assessment problems are used to simulate and verify the proposed deep learning framework. The results prove that the framework is effective, feasible, and adaptability, and the proposed assessment model can well solve different types of food quality assessments. [ABSTRACT FROM AUTHOR]

Background: The prognosis of hepatocellular carcinoma (HCC) has been extensively studied. However, the impact on prognosis of stage I HCC has not been well studied at clincopathological, mutational and transcriptional levels.Methods: Here we first characterized the influencing factors of prognosis of stage I HCC patients by downloading and analyzing the whole-exome somatic mutation data, messenger ribonucleic acid (mRNA) transcription data, along with demographic and clinical information of 163 stage I HCC patients from the TCGA database. The relationship between the influencing factors and HCC prognosis was studied in detail, and a prediction Nomogram model was established. Figures and tables were plotted using the R software.Results: TP53, CTNNB1, TTN, MUC16 and ALB were the top mutated genes in stage I HCC. A series of co-mutations and mutually exclusive mutations were identified. Twenty-nine genes with significant stratification on prognosis were identified, including highly mutated LRP1B, ARID1A and PTPRQ. Patients with wild type (WT) genes unanimously exhibited significantly better overall survival rate than those with mutants. Patients with the top 10% tumor mutational burden (TMB) exhibited significantly worse prognosis than the rest 90%. Further characterization of transcriptional profile revealed that membrane functions, cell skeleton proteins, ion channels, receptor function and cell cycle were comprehensively altered in stage I HCC. Univariate and multivariate analyses were performed at clinicopathological, mutational and transcriptional levels. The combined analysis revealed sex, race, TMB, neoplasm histologic grade, Child-Pugh grade, MMRN1, OXT and COX6A2 transcription as independent risk factors. These factors were used to establish a Nomogram model to predict the prognosis of individual HCC patients.Conclusions: The influencing factors of prognosis of stage I HCC have been characterized for the first time at clinicopathological, mutational and transcriptional levels. A Nomogram model has been established to predict the prognosis. Further validation is needed to confirm the effectiveness and reliability of the model. [ABSTRACT FROM AUTHOR]

The deterioration of a composite insulator's mandrel will cause a serious power-grid accident, so it is necessary to find the defect as soon as possible. Infrared imaging is an effective means to detect mandrel-deterioration defects, but sheath-aging defects will cause trouble to screen mandrel deterioration. Therefore, it is urgent to distinguish the two defects. In this paper, two composite insulators that are out of service with different heating characteristics are tested and analyzed, and the temperature-rise characteristics are analyzed by building a simulation model. The results show that the temperature rise of composite insulators with oxidative decomposition of epoxy resin is large, and the range usually extends from the hardware of the high-voltage side to several umbrella skirts. The temperature rise caused by the composite insulator with the fiber completely wrapped by epoxy resin is small, which mainly occurs from the hardware to the first umbrella skirt. The simulation model constructed in this paper is consistent with the experimental results, which verifies the accuracy of the model. The model can distinguish the mandrel-deterioration defect and sheath-aging defect, and has guiding significance and important reference value for the detection rate of the mandrel-deterioration composite insulator and ensuring the safe and stable operation of the power grid. [ABSTRACT FROM AUTHOR]

Endometriosis (EMs) is characterized by inflammatory lesions, dysmenorrhea, infertility, and chronic pelvic pain. Single-target medications often fail to provide systemic therapeutic results owing to the complex mechanism underlying endometriosis. Although traditional Chinese medicines—such as Juan-Tong-Yin (JTY)—have shown promising results, their mechanisms of action remain largely unknown. To elucidate the therapeutic mechanism of JTY in EMs, focusing on endoplasmic reticulum (ER) stress-induced autophagy. The major components of JTY were detected using high-performance liquid chromatography–mass spectrometry (HPLC–MS). The potential mechanism of JTY in EMs treatment was predicted using network pharmacological analysis. Finally, the pathogenesis of EMs was validated in a clinical case-control study and the molecular mechanism of JTY was validated in vitro using endometrial stromal cells (ESCs). In total, 241 compounds were analyzed and identified from JTY using UPLC–MS. Network pharmacology revealed 288 targets between the JTY components and EMs. Results of the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses indicated that regulating autophagy, migration, apoptosis, and inflammation were the key mechanisms of JTY in treating EMs. Meanwhile, we found that protein kinase R-like endoplasmic reticulum kinase (PERK), Beclin-1, and microtubule-associated protein light chain 3 B (LC3B) expressions were lower in endometria of patients with EMs than in those with normal eutopic endometria (p < 0.05). Additionally, during in vitro experiments, treatment with 20% JTY-containing serum significantly suppressed ESC proliferation, achieving optimal effects after 48 h. Electron microscopy revealed significantly increased autophagy flux in the JTY group compared with the control group. Moreover, JTY treatment significantly reduced the migratory and invasive abilities of ESCs and upregulated protein expression of PERK, eukaryotic initiation factor 2α (eIF2α)/phospho-eukaryotic initiation factor 2α (p-eIF2α), activating Transcription Factor-4 (ATF4), Beclin-1, and LC3BII/I, while subsequently downregulating NOD-like receptor thermal protein domain associated protein 3 (NLRP3) and interleukin 18 (IL-18) expression. However, administration of GSK2656157—a highly selective PERK inhibitor—reversed these changes. JTY ameliorates EMs by activating PERK associated with unfolded protein reaction, enhancing cell ER stress and autophagy, improving the inflammatory microenvironment, and decreasing the migration and invasion of ESCs. [Display omitted] • We examined the therapeutic mechanism of Juan-Tong-Yin in endometriosis. • Juan-Tong-Yin suppressed endometrial cell proliferation. • Juan-Tong-Yin increased autophagy in endometrial stromal cells. • Juan-Tong-Yin ameliorates endometriosis by activating the unfolded protein reaction triggered endoplasmic reticulum stress. [ABSTRACT FROM AUTHOR]

Lung cancer accounts for the greatest number of cancer-related mortality, while the accurate evaluation of pulmonary nodules in computed tomography (CT) images can significantly increase the 5-year relative survival rate. Despite deep learning methods that have recently been introduced to the identification of malignant nodules, a substantial challenge remains due to the limited datasets. In this study, we propose a cascaded-recalibrated multiple instance learning (MIL) model based on multiattribute features transfer for pathologic-level lung cancer prediction in CT images. This cascaded-recalibrated MIL deep model incorporates a cascaded recalibration mechanism at the nodule level and attribute level, which fuses the informative attribute features into nodule embeddings and then the key nodule features can be converged into the patient-level embedding to improve the performance of lung cancer prediction. We evaluated the proposed cascaded-recalibrated MIL model on the public Lung Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI) benchmark dataset and compared it to the latest approaches. The experimental results showed a significant performance boost by the cascaded-recalibrated MIL model over the higher-order transfer learning, instance-space MIL, and embedding-space MIL models and the radiologists. In addition, the recalibration coefficients of the nodule and attribute feature for the final decision were also analyzed to reveal the underlying relationship between the confirmed diagnosis and its highly-correlated attributes. The cascaded recalibration mechanism enables the MIL model to pay more attention to those important nodules and attributes while suppressing less-useful feature embeddings, and the cascaded-recalibrated MIL model provides substantial improvements for the pathologic-level lung cancer prediction by using the CT images. The identification of the important nodules and attributes also provides better interpretability for model decision-making, which is very important for medical applications. [ABSTRACT FROM AUTHOR]

[Display omitted] • Cellulose can be selectively converted into 5-HMF in monophasic MSH solvent. • 44.5 % yield of 5-HMF together with 75.0 % of carbon balance were obtained. • The total B/L acid sites of AlSiO-20 is the key issue in affecting 5-HMF yield. • AlSiO-20 can be recycled for more than 5 times with stable performance. • 5-HMF can be separated from MSH via HCP adsorption. Production of 5-HMF from cellulose is a promising approach for advanced bio-fuels preparation, but the degradation of active 5-hydroxymethylfurfural (5-HMF) is a critical challenge affecting 5-HMF selectivity. To address this issue, biphasic reaction system consisting of water and organic solvent is generally used to in-situ extract 5-HMF into organic phase to inhibit product degradation. Despite the high 5-HMF selectivity achieved in biphasic system, low product concentration and difficulty in separation restrict its industrial applications. Molten salt hydrate (MSH) is unique in cellulose conversion and 5-HMF preservation. In this work, MSH of LiBr was used as monophasic solvent for cellulose conversion and an acidity tunable solid acid AlSiO-x was used as the catalyst. It was found that a relatively high 5-HMF yield of 44.5% together with carbon balance of 75.0% were obtained at 170 °C for 20 min, which is higher than the results ever reported. Importantly, this work proved that the ratio of total Brønsted to Lewis acid sites on solid acid is the key issue affected 5-HMF yield. After reaction, solid acid can be recycled for more than 5 times without catalytic performance decline, and the dissolved 5-HMF can be sufficiently separated from MSH via hyper cross-linked polymer (HCP) adsorption. [ABSTRACT FROM AUTHOR]

The conventional fractionation of lignocellulose is generally carried out at high temperatures, high acid or alkali, or using organic solvents due to the rigid matrix of lignocellulose and crystallinity of cellulose, leading to the condensation of lignin and environmental pollution, and hindering the further value-added utilization of lignin. In this work, a rapid fractionation method was proposed, in which hemicellulose and cellulose (holocellulose) were first dissolved and partially hydrolyzed in acidified LiCl molten salt hydrates, followed by a filtration process to isolate the lignin solid with a purity of 88.3%. It was found that the dissolution of holocellulose required the addition of a small amount of acid to break the cellulose chain into short chains. Due to the small amount of acid added and the rapid dissolution, the obtained lignin has as high as 89.5% of β-O-4 bond content close to the theoretical value, suggesting that a promising native lignin structure was preserved. The isolated lignin can be selectively depolymerized into monophenol over Ru/C catalyst with a high yield of 24.2%. In addition, the dissolved holocellulose without containing lignin was selectively hydrolyzed into sugars in acidified LiCl molten salt hydrates, giving 63.1% of xylose, 43.9% of glucose, 29.5% of xylan oligomers, and 48.2% of glucan oligomers, respectively. [Display omitted] • LiCl molten salt hydrates required little acid to dissolve holocellulose. • LiCl-AMSH could quickly dissolve holocellulose and separate noncondensed lignin. • 88.3% purity of noncondensed lignin was fractionated. • 24.2% of monophenol (88.0% to theoretical) was obtained from noncondensed lignin. • 63.1% of xylose, 43.9% of glucose, 29.5% of xylan oligomers, and 48.2% of glucan oligomers were obtained. [ABSTRACT FROM AUTHOR]

One-pot hydrodeoxygenation (HDO) of biomass furan derivatives into long-chain alkanes remains unclear owing to the complicated reactions at high temperatures. Here, Pd/C combined with phosphotungstic acid (HPW), a strong Brønsted solid acid promoter, was developed to produce decane under mild conditions through the one-pot HDO of δ-furfurylidenelevulinic acid (FDLA). A 93.16% sum yield of alkanes including 89.53% yield of decane was obtained under 3 MPa H2 at 170 °C for 4 h. The ring-opening and HDO of furans are accomplished at preheating stage, which enable to clarify the complicated reaction pathway. In addition, experimental validations and catalytic characterizations confirm that the synergistic effect of active acid–metal sites plays a critical role in the generation of alkanes via the formation and hydrogenolysis of lactone intermediates to aldehyde/alcohol. This work provides guidance for the one-pot HDO of biomass furan derivatives via the combination of metal catalyst and strong Brønsted solid acid under mild conditions. [ABSTRACT FROM AUTHOR]

A carbonaceous solid acid catalyst with high strong-acid density was synthesized by facile functionalization of a biomass-derived mesoporous carbon with benzenesulfonic acid. The catalyst was characterized by using Fourier transform infrared spectroscopy, elemental analysis, X-ray photoelectron spectroscopy, transmission electron microscopy, and N2 adsorption-desorption. The carbonaceous solid catalyst containing Brønsted acid sites was used for the production of 5-hydroxymethylfurfural (HMF) from hexoses such as fructose, glucose, and cellulose in γ-valerolactone (GVL)-H2O mixture. By reaction at 130 °C for 20 min using fructose as a feedstock, an HMF yield 78.1% was achieved. The catalytic performance of the catalyst in conversion of fructose into HMF hardly changed over seven cycles, demonstrating that the catalyst had excellent recyclability. The yields of HMF derived from glucose and cellulose reached 33.2 and 22.5%, respectively, whereas those of total furans were 42.1 and 33.7%, respectively. The proposed reaction system was promising in transforming biomass-based carbohydrates into fine chemicals, given the use of green functionalization methods, the utilization of sustainable biomass-derived carbon precursor and solvents, catalyst with high acid density, and the availability of high HMF yield. [ABSTRACT FROM AUTHOR]

Cullin 4A (CUL4A) is the major component of cullin-RING-based E3 ubiquitin-protein ligase complexes, which regulate the ubiquitination of target proteins. The overexpression of CUL4A has been associated with the development and progression of various cancer types. However, a detailed understanding of the role of CUL4A in human liver cancer has not been determined by previous studies. In the present study, the association between human liver cancer and CUL4A expression was investigated. The expression of CUL4A in liver cancer tissues and paracancerous tissues of patients was investigated by reverse transcription-quantitative polymerase chain reaction, western blotting and immunohistochemical staining. Overexpression and knockdown of CUL4A were induced with an overexpression vector and small interfering RNA transfection, respectively, in human liver cancer cell lines, and the effects on cell proliferation were analyzed by a Cell Counting Kit-8 assay to investigate the role of CUL4A in human liver cancer. Cell migration, invasion, apoptosis and the cell cycle were also analyzed following transfection. The results of the present study revealed that the mRNA and protein expression of CUL4A was increased in the liver cancer tissues compared with the paracancerous tissues of 3 patients. Additionally, the results demonstrated that downregulation of CUL4A expression inhibited cell proliferation, migration and invasion, and increased the percentage of cell apoptosis, in HEPG2 and MHCC97-H cells, while CUL4A overexpression led to the opposite effects. Therefore, the results of the current study indicated that CUL4A may serve an important role in the development and progression of human liver cancer, and highlights the potential of CUL4A as a novel target in the diagnosis and treatment of human liver cancer and potentially other cancer types. [ABSTRACT FROM AUTHOR]

Key message: The elite ZmCCT haplotypes which have no transposable element in the promoter could enhance maize resistance to Gibberella stalk rot and improve yield-related traits, while having no or mild impact on flowering time. Therefore, they are expected to have great value in future maize breeding programs. Abstract: A CCT domain-containing gene, ZmCCT, is involved in both photoperiod response and stalk rot resistance in maize. At least 15 haplotypes are present at the ZmCCT locus in maize germplasm, whereas only three of them are found in Chinese commercial maize hybrids. Here, we evaluated ZmCCT haplotypes for their potential application in corn breeding. Nine resistant ZmCCT haplotypes that have no CACTA-like transposable element in the promoter were introduced into seven elite maize inbred lines by marker-assisted backcrossing. The resultant 63 converted lines had 0.7-5.1 Mb of resistant ZmCCT donor segments with over 90% recovery rates. All converted lines tested exhibited enhanced resistance to maize stalk rot but varied in photoperiod sensitivity. There was a close correlation between the hybrids and their parental lines with respect to both resistance performance and photoperiod sensitivity. Furthermore, in a given hybrid A5302/83B28, resistant ZmCCT haplotype could largely improve yield-related traits, such as ear length and 100-kernel weight, resulting in enhanced grain yield. Of nine resistant ZmCCT haplotypes, haplotype H5 exhibited excellent performance for both flowering time and stalk rot resistance and is thus expected to have potential value in future maize breeding programs. [ABSTRACT FROM AUTHOR]