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Effects of casein on the stability, antioxidant activity, and bioavailability of lotus anthocyanins were investigated. Casein could inhibit the unsatisfactory pH-induced color change of lotus anthocyanins, and improved their photo, oxidation, and thermal stabilities. During the simulated digestion, the anthocyanin retention increased from 65.39 to 76.14 mg C3G/L with the protection of casein, while the DPPH and ABTS scavenging activities of lotus anthocyanins with casein increased to 62.33% and 46.58%, respectively. However, casein with lower concentration showed a better protective effect on lotus anthocyanins due to its self-aggregation tendency at high dose. The zebrafish model further verified that casein could enhance the bioavailability of lotus anthocyanins. Furthermore, molecular docking revealed that casein could interact with anthocyanin by hydrogen bond and hydrophobic interaction, which led to the stronger stability and bioavailability of lotus anthocyanins. The results conveyed that casein could be used as a wall material to protect anthocyanins. PRACTICAL APPLICATIONS: Anthocyanins are natural colorants with multiple biological activities, but the poor stability during processing and digestion limits their application in food industry. In the present research, casein exhibited conspicuous ability to enhance the stability of lotus anthocyanins toward detrimental conditions. Additionally, casein could preserve anthocyanins from degradation during digestion and thus improve the bioavailability. These findings indicated that casein could serve as a potential carrier for encapsulating and delivering anthocyanins. The better stability and bioavailability would promote the application of anthocyanins in food products and human health.

Aiming at the complex characteristics of the sequential logic control system design, such as X-D diagram and karnaugh map method, a design method based on stepper module was proposed, the procedure of which does not need to be checked and corrected. The design of different pneumatic circuits was carried out with the automatic drilling machine as the application object. First, a stepper module composed of a two-position three-way valve and a dual-pressure valve was constructed, and its structure principle was analyzed in detail. Next, three kinds of stroke programs were listed by analyzing the working process of automatic drilling machine, which were multi-cylinder single reciprocating, multi-cylinder multi reciprocating and multi-cylinder multi-section reciprocating stroke program, and the pneumatic circuit control system was designed by the stepper module method. Finally, the pneumatic circuit was simulated and analyzed using the software Fluid-SIM. The simulation results showed that each actuator can complete the corresponding actions according to the design requirements, which verified the correctness and reliability of the stepper module design method. This work would provide a fast and effective method for the design of the sequential logic control system.

Climate change is a critical challenge for the global grape and wine industry, as it can disrupt grapevine growth, production, and wine quality. Climate change could influence the cost-effectiveness and growth of the wine industry in different wine regions since grapevine development is deeply dependent on weather (short-term) and climate (long-term) conditions. Innovation and new technologies are needed to meet the challenge. This review article addresses the impact of climate change on grapevines, such as vine phenology, pest and disease pressure, crop load, and grape and wine composition. It also reviews recent advances in the areas of viticultural manipulation and relevant technologies to potentially reduce the impact of climate change and help growers improve grape quality. Remote sensing is used for vineyard microclimate monitoring; thermal sensors combined with UAVs, aircraft, or satellites are used for water management; soil electrical conductivity sensors have been developed for soil mapping. Viticultural manipulations, such as regulated deficit irrigation for water use efficiency and berry-ripening delay for growing quality fruit, are also discussed. The review assesses future directions for further technological development, such as soil and vine water monitoring devises, precision viticulture, and artificial intelligence in vineyards.

A topological relationship is a key factor in the spatial data processing. Aiming at the problem of topological similarity measurement when the dimension of spatial objects changes in the process of map generalization, this paper proposes a topological similarity measurement method based on the global topological concept neighborhood graph. Firstly, all the topological relationships that can be described by the nine intersection model are abstracted, generalized, and classified, and the classified point/point, point/line, point/polygon, line/line, line/polygon, and polygon/polygon local topological concept neighborhood graphs are established. Then, according to the map generalization rules, the mapping between different types of topological concept neighborhood graphs is established, and the global topological concept neighborhood graph is obtained, Finally, the similarity of the topological relationship between different morphological objects is measured. The experimental results show that the proposed method can better meet the topological similarity measurement when the shape of spatial objects changes.

A functional yogurt was prepared with Ligustrum robustum (Rxob.) Blume extract (LRE), while its antioxidant and hypoglycemic activities were evaluated and its action mechanism was further explored. With the cofermentation of LRE, the yogurt showed the fine quality characteristics, including pH, titratable acidity, texture, syneresis susceptibility, color, microbiological content, and chemical composition. Meanwhile, the yogurt exhibited the remarkable antioxidant capability to enhance the activities of antioxidant enzymes and reduce the malondialdehyde level in animal serums. In addition, the yogurt showed the obvious hypoglycemic activity to inhibit the decrease of glucose tolerance and the increase of postprandial hyperglycemia of diabetes mice. Furthermore, using the analysis of molecular docking, the main compounds of LRE could combine tightly with α-amylase and α-glucosidase by hydrogen bond and hydrophobic interaction, so as to change their spatial structure and inhibit their biocatalytic activity in glucose metabolism. All present results suggested that LRE showed the potential value to be used as supplement to enhance the quality and functions of yogurt in food industry. PRACTICAL APPLICATION: The hypoglycemic and antioxidant activities of a functional yogurt cofermented with LRE were found and its relative action mechanism was also explored. This work provide the experimental and theoretical basis for the application of this yogurt as nutraceuticals to protect human health in food industry.

ObjectivesTo evaluate the up-to-date epidemiology of diabetes in northeast China.MethodsThe cross-sectional study was conducted between September 2017 and March 2019 using a multistage, stratified and cluster random sampling method. 18 796 participants (28.9% urban and 71.1% rural) aged ≥40 years were enrolled. Diabetes and pre-diabetes were diagnosed according to the history, fasting plasma glucose (FPG) and glycosylated haemoglobin A1c (HbA1c) levels.ResultsThe prevalence of diabetes was 17.1%, higher in urban than in rural residents (20.2% vs 15.8%, pConclusionA considerable burden of diabetes was observed in northeast China, with high percentage of untreated diabetes, high prevalence of pre-diabetes, high overall FPG level and multiple uncontrolled risk factors in patients with diabetics. Therefore, region-specific strategies on prevention and management of diabetes should be emphasised.

Background: The Hyphantria cunea is a worldwide quarantine pest. It has the characteristics of a wide variety of recipes, strong adaptability, wide transmission channels and serious harm, which seriously endanger the sustainable development of the ecological environment. At present, the control methods of the Hyphantria cunea are costly and inefficient. Objective: An intelligent target spraying robot based on machine vision is designed for cleansing Hyphantria cunea larva nets according to the characteristics of the net curtain and the background color. Methodology: The mobile mechanism of the spraying robot is based on a crawler type trolley and the three-dimensional movements are achieved by stepping motor and synchronous belt driving linear guide slider in the horizontal plane, and by the lead screw in the vertical direction. The on-board software controls the hand-eye actuator to scan the target trees with a specific trajectory, and performs image processing to identify the target so as to intelligently spray on the target. Results: The spraying robot can cope with the irregular distribution of Hyphantria cunea larva nets, and can realize the three-dimensional movement of the nozzle, and perform the progressive scanning to identify the larva nets, and the robot controls the nozzle to spray the medicine, thereby realizing the intelligent spraying of the target. Conclusion: Experiments show that accurate target spraying of the robot can be achieved, and the target coverage rate can reach up to 85% of the total larva nets, which greatly improves the spraying efficiency.

Background: Signal generator plays a crucial role in the field of automatic measurement. However, Domestic signal generator usually uses a number of discrete phases locked loop components, whose circuits are usually complex with low precision and are easily affected by the external environment. Objective: Based on direct digital synthesis (DDS) technology, a small sized high precision economic waveform generator with a simple structure and operational convenience is developed. Methodology: The hardware circuit is designed with an AT89S52 controller, and the corresponding peripheral circuit. A DDS integrated chip AD9834 is employed as a signal source, and the modular programming principle with C and assembly language is used to accomplish the software design, through which the sine wave, square wave, triangular wave signals with adjustable amplitude, frequency, and TTL signal with adjustable duty ratio can be generated. Conclusion: The whole system is advantageous with several aspects such as high frequency precision, wide frequency range, and operational convenience. The experimental results show that the stability and reliability of the waveform generator are good with a simple hardware circuit structure.

Background: The study of kerosene fuel for gasoline engines is of great significance to the supply, management, storage, transportation of military fuel, as well as its safety. A small aviation twostroke kerosene engine fuel injection controller is the key technology of kerosene engines. It is very important to improve the performance of kerosene engine by controlling the air-fuel ratio accurately. Objective: In this study, the initial injection pulse spectrum was firstly obtained by numerical calculation in the absence of kerosene injection pulse spectrum, and then the injection controller was designed based on the initial injection pulse spectrum. Methodology: Firstly, a numerical model of the whole engine was established by using BOOST software. The air mass flow data of the inlet was obtained through numerical calculation. The amount of initial engine fuel injection was calculated according to the requirements of air-fuel ratios in each working condition, from which an initial injection pulse spectrum was obtained. Then, based on Freescale 16-bit embedded micro-controller MC9S12DP512, a kerosene engine fuel injection controller was developed, together with the circuit. According to the initial fuel injection pulse spectrum, a twodimensional interpolation algorithm was developed by using assembly language and C language mixed programming, and the anti-electromagnetic interference ability of the controller was further enhanced. Finally, the accuracy of the initial injection pulse spectrum and the performance and reliability of the injection controller of the kerosene engine were verified by the kerosene engine bench test. Results: The experimental results show that the numerical model was accurate, and the development time of the injection controller reduced by using the numerical model to calculate the initial injection pulse spectra. Conclusion: The developed controller was observed to be stable and reliable, which can meet the control requirement.

Background Pulmonary vessel intimal sarcoma (IS) is rare. Methods We studied gross pathology, microscopic images and immunohistochemistry of 2 pulmonary artery ISs (PAISs) and 2 pulmonary vein ISs (PVISs), followed up the prognosis. The clinical manifestations of IS, imaging examination, electrocardiographic examination and serological examination were also studied. Results Grossly, the tumors were grayish yellow or grayish-white accompanied by local bleeding, and were manifested as sticky and slippery nodules. PAISs were located in the lumen of the pulmonary trunk or right ventricular outflow tract, and 1 of them had pedicle. PVISs were mainly located in the left atrium. Microscopically, the heteromorphic spindle cells were arranged in lobules and bundles, partially epithelioid, with visible mitotic figures. There were interstitial mucoid degeneration and local hemorrhage and necrosis/infarction. Immunohistochemistry showed that vimentin, h-caldesmon and MDM2 were all positive, SATB2 (+, 3/4); Ki67 proliferation rate was 30–60%; smooth muscle actin, desmin and CD56 were partially positive; cytokeratin and CD34 were locally positive; CD31, FLI-1, and ERG vascular markers were negative; and S-100 was negative. Case 4 showed MDM2 (12q15) amplification. Tumor markers were negative in venous blood; and lactate dehydrogenase increased in 2 cases. 3 patients died after surgery, 1 still survives after 14 months with lung and chest metastases for immunotherapy and 9 courses of chemotherapy. Conclusions IS is rare. Microscopically, it is mainly composed of spindle cells (or local epithelioid), along with interstitial mucoid degeneration. IS can differentiate into tumor of fibroblasts, bone, cartilage and smooth muscle, etc. The prognosis is poor.

The effect of tea polyphenols (TPs) on noodles quality was investigated, and the interaction mechanism between catechins and gliadins was explored. With TPs addition, noodles showed the significant changes in physicochemical and sensory properties. The water absorption, tensile strength and elasticity increased by 1.35%, 4.98%, 28.51% with 0.5% of TPs, and then decreased with the increasing of TPs. According to the determinations of surface hydrophobicity, spatial structure, thermal properties, amidogen and sulfhydryl content, the structure and properties of gliadin were affected by catechins. Esterified catechins tended to disrupt gliadin structures and non-esterified catechins polymerised gliadin molecules. Furthermore, molecular docking results indicated that catechins interacted with gliadin mainly by hydrogen bonds and hydrophobic action. The reactivity of catechins with gliadin was in the sequence as: epigallocatechin gallate epicatechin gallate epigallocatechin epicatechin, which was based on the account of gallate and B-ring hydroxyl number discrepancy. All results suggested that catechins affected greatly on gliadin, and TPs were potentially used to improve the quality of flour products.

Clarifying the efficiency of investment in environmental pollution control is conducive to better control of environmental pollution. Based on panel data of 30 provinces and cities in China from 2008 to 2017, this study combines the three-stage super-efficient SBM-DEA model and the Global-Malmquist-Luenberger index to measure the efficiency of investment in environmental pollution control in China and analyze regional differences. The results show that: First, the investment efficiency of environmental pollution control in China shows a rising trend year by year, but there are significant differences among provinces and regions; the presence of random factors and environmental variables makes the control efficiency underestimated. Second, excluding the effects of both, the national investment efficiency of environmental pollution control has improved significantly, but still has not reached the optimal effect; the gap between provinces and regions has narrowed while the investment efficiency of environmental pollution control has improved, and there is still an unbalanced situation. Third, the main driver of the year-on-year improvement in China’s environmental pollution control efficiency is technological progress; compared with northeastern China, technological progress has a more significant role in promoting eastern, central, and western China. Finally, based on the results, this paper focuses on making suggestions to promote environmental pollution control in China in terms of making regional cooperation, making good environmental protection investment and strengthening environmental protection technology research and development.

ObjectivesAccumulated evidence suggests that neck circumference (NC) is associated with cardiometabolic risk factors. However, limited studies are available regarding the association between NC or height normalised NC (neck-to-height ratio (NHR)) and risk of ischaemic stroke (IS) in the Chinese population. Therefore, we aimed at examining the associations between NC or NHR and odds of IS and exploring the discrepancies between men and women.DesignA multistage cluster cross-sectional study.SettingA population-based study carried out in Northeast China.MethodsA cross-sectional study was undertaken in Northeast China between September 2017 and March 2019, involving 7236 men and 11 352 women, respectively. The median age of participants was 60.30 years, ranging from 40 to 97 years. The associations between NC or NHR and odds of IS were calculated using multiple logistic regression models. Dose–response relationships were depicted using restricted cubic spline functions. Reclassification analyses were carried out to determine the incremental significance of NC or NHR on the odds of IS.ResultsIn women, NC and NHR were significantly associated with the odds of IS, independent of traditional risk factors and other anthropometric parameters for obesity. The highest quartile of NC and NHR had a 1.60 (95% CI 1.16 to 2.22)-and 1.72 (95% CI 1.23 to 2.41) times higher odds of IS compared with the lowest quartile. Furthermore, the odds of IS increased by 1.10 (95% CI 1.01 to 1.20) and 1.12 (95% CI 1.02 to 1.22) times per 1 SD increase in NC and NHR, respectively. Reclassification analyses showed that the proportion of correct classification increased by 11.5% (95% CI 2.2% to 20.7%) and 22.8% (95% CI 13.5% to 32.0%) after the addition of NC or NHR into established models, respectively. However, the findings could not be replicated in men.ConclusionNC and NHR might be promising independent indicators for women IS. Their incremental value in the risk stratification of IS enables the individualised prevention of IS in women.

Prediction of antimicrobial resistance based on whole-genome sequencing data has attracted greater attention due to its rapidity and convenience. Numerous machine learning–based studies have used genetic variants to predict drug resistance in Mycobacterium tuberculosis (MTB), assuming that variants are homogeneous, and most of these studies, however, have ignored the essential correlation between variants and corresponding genes when encoding variants, and used a limited number of variants as prediction input. In this study, taking advantage of genome-wide variants for drug-resistance prediction and inspired by natural language processing, we summarize drug resistance prediction into document classification, in which variants are considered as words, mutated genes in an isolate as sentences, and an isolate as a document. We propose a novel hierarchical attentive neural network model (HANN) that helps discover drug resistance-related genes and variants and acquire more interpretable biological results. It captures the interaction among variants in a mutated gene as well as among mutated genes in an isolate. Our results show that for the four first-line drugs of isoniazid (INH), rifampicin (RIF), ethambutol (EMB) and pyrazinamide (PZA), the HANN achieves the optimal area under the ROC curve of 97.90, 99.05, 96.44 and 95.14% and the optimal sensitivity of 94.63, 96.31, 92.56 and 87.05%, respectively. In addition, without any domain knowledge, the model identifies drug resistance-related genes and variants consistent with those confirmed by previous studies, and more importantly, it discovers one more potential drug-resistance-related gene.

Management of dyslipidemia remains the cornerstone for prevention of cardiovascular diseases. We aimed to evaluate the epidemiology of dyslipidemia in northeast China.This cross-sectional survey was administered on 18,796 participants aged ≥40 years from September 2017 to March 2019 through a multistage, stratified, and cluster random sampling method. Lipid profiles were proposed by National Cholesterol Education Program Adult Treatment Panel III. The crude prevalence of dyslipidemia was 35.8%, higher in urban and women than their counterparts (49.5% vs 30.2%, 37.6% vs 33.0%, p 0.001). The age-standardized prevalence of dyslipidemia was 34.0% (urban 47.9%, and rural 28.9%; men 36.2%, and women 33.4%). The prevalence of high total cholesterol (TC), high triglyceride (TG), high low-density lipoprotein cholesterol (LDL-C) and low high-density lipoprotein cholesterol (HDL-C) were 14.2%, 17.7%, 5.7% and 11.4% respectively. Noticeably, the prevalence of high LDL-C and low HDL-C in urban areas showed a 2.2-fold and 6.3-fold increase over the rural areas (9.3% vs 4.2% and 28.4% vs 4.5%, respectively). Among participants with dyslipidemia, 14.7% were aware of their condition; 5.9% were taking lipid-regulating medications; and only 2.9% had their dyslipidemia controlled. Comorbidities including hypertension (63.6%), and diabetes (25.2%) were highly prevalent in patients with dyslipidemia, however, the control rates of those comorbidities were only 40.0% and 6.6%.Patients with dyslipidemia showed high cardiovascular burden with low control rates of dyslipidemia, high prevalence of coexisting risk factors. Therefore, region- and sex-specific strategies to manage dyslipidemia and related risk factors should be highlighted.

In this paper, to improve the performance of capped L 1 -norm twin support vector machine (CTSVM), we first propose a new robust twin bounded support vector machine (RTBSVM) by introducing the regularization term. The significant advantage of our RTBSVM over CTSVM is that the structural risk minimization principle is implemented. This embodies the marrow of statistical learning theory, so this modification can improve the performance of classification. Furthermore, to accelerate the computation of RTBSVM and simultaneously inherit the merit of robustness, we construct a least squares version of RTBSVM (called RTBSVM). This formulation leads to a simple and fast algorithm for binary classifiers by solving just two systems of linear equations. Finally, we derive two simple and effective iterative optimization algorithms for solving RTBSVM and FRTBSVM, respectively. Simultaneously, we theoretically rigorously analyze and prove the computational complexity, local optimality and convergence of the algorithms. Experimental results on one synthetic dataset and nine UCI datasets demonstrate that our methods are competitive with other methods. Additionally, the FRTBSVM is directly applied to recognize the purity of hybrid maize seeds using near-infrared spectral data. Experiments show that our method achieves better performance than the traditional methods in most spectral regions.

The relationship of gut microbiota and calcium oxalate stone has been limited investigated, especially with no study of gut microbiota and short chain fatty acids (SCFAs) in nephrolithiasis. We provided Sprague Dawley rats of renal calcium oxalate stones with antibiotics and examined the renal crystals deposition. We also performed a case-control study by analyzing 16S rRNA microbial profiling, shotgun metagenomics and SCFAs in 153 fecal samples from non-kidney stone (NS) controls, patients with occasional renal calcium oxalate stones (OS) and patients with recurrent stones (RS). Antibiotics reduced bacterial load in feces and could promote the formation of renal calcium crystals in model rats. In addition, both OS and RS patients exhibited higher fecal microbial diversity than NS controls. Several SCFAs-producing gut bacteria, as well as metabolic pathways associated with SCFAs production, were considerably lower in the gut microbiota among the kidney stone patients compared with the NS controls. Representation of genes involved in oxalate degradation showed no significance difference among groups. However, fecal acetic acid concentration was the highest in RS patients with high level of urinary oxalate, which was positively correlated with genes involvement in oxalate synthesis. Administration of SCFAs reduced renal crystals. These results shed new light on bacteria and SCFAs, which may promote the development of treatment strategy in nephrolithiasis.

Background: The study of kerosene fuel for gasoline engines is of great significance to the supply, management, storage and transportation of military fuel, as well as its safety. Small aviation two-stroke kerosene engine fuel injection controller is the key technology of kerosene engines. It is very important to improve the performance of kerosene engine by controlling the air-fuel ratio accurately. Objective: The initial injection pulse spectrum was firstly obtained by numerical calculation in the absence of kerosene injection pulse spectrum, and then the injection controller was designed based on the initial injection pulse spectrum. Methodology: Firstly, a numerical model of the whole engine was established by using BOOST software. The air mass flow data of the inlet was obtained through numerical calculation. The amount of initial engine fuel injection was calculated according to the requirements of air-fuel ratios in each working condition, from which an initial injection pulse spectrum was obtained. Then, based on Free scale 16-bit embedded micro-controller MC9S12DP512, a kerosene engine fuel injection controller was developed, together with the circuit was also designed. According to the initial fuel injection pulse spectrum, a two-dimensional interpolation algorithm was developed by using assembly language and C language mixed programming, and the anti-electromagnetic interference ability of the controller was further enhanced. Finally, the accuracy of the initial injection pulse spectrum and the performance and reliability of the injection controller of the kerosene engine were verified by the kerosene engine bench test. Conclusion: The experimental results show that the numerical model was accurate, and the development time of the injection controller was shortened by using the numerical model to calculate the initial injection pulse spectra. The developed controller was stable and reliable, which can meet the control requirement.

Background Beijing sub-pedigree 2 (BSP2) and T sub-lineage 6 (TSL6) are two clades belonging to Beijing and T family of Mycobacterium tuberculosis (MTB), respectively, defined by Bayesian population structure analysis based on 24-loci mycobacterial interspersed repetitive unit-variable number of tandem repeats (MIRU-VNTR). Globally, over 99% of BSP2 and 89% of TSL6 isolates were distributed in Chongqing, suggesting their possible local adaptive evolution. The objective of this paper is to explore whether BSP2 and TSL6 originated by their local adaptive evolution from the specific isolates of Beijing and T families in Chongqing. Methods The genotyping data of 16 090 MTB isolates were collected from laboratory collection, published literatures and SITVIT database before subjected to Bayesian population structure analysis based on 24-loci MIRU-VNTR. Spacer Oligonucleotide Forest (Spoligoforest) and 24-loci MIRU-VNTR-based minimum spanning tree (MST) were used to explore their phylogenetic pathways, with Bayesian demographic analysis for exploring the recent demographic change of TSL6. Results Phylogenetic analysis suggested that BSP2 and TSL6 in Chongqing may evolve from BSP4 and TSL5, respectively, which were locally predominant in Tibet and Jiangsu, respectively. Spoligoforest showed that Beijing and T families were genetically distant, while the convergence of the MIRU-VNTR pattern of BSP2 and TSL6 was revealed by WebLogo. The demographic analysis concluded that the recent demographic change of TSL6 might take 111.25 years. Conclusions BSP2 and TSL6 clades might originate from BSP4 and TSL5, respectively, by their local adaptive evolution in Chongqing. Our study suggests MIRU-VNTR be combined with other robust markers for a more comprehensive genotyping approach, especially for families of clades with the same MIRU-VNTR pattern.

Chemical control is the major approach to handle the American Hyphantria cunea issue; however, it often causes chemical pollution and resource waste. How to precisely apply pesticide to reduce pollution and waste has been a difficult problem. The premise of accurate spraying of chemicals is to accurately determine the location of the spray target. In this paper, an algorithm based on a convolutional neural network (CNN) is proposed to locate the screen of American Hyphantria cunea. Specifically, comparing the effect of multicolor space-grouping convolution with that of the same color space-grouping convolution, the better effect of different color space-grouping convolution is first proved. Then, RGB and YIQ are employed to identify American Hyphantria cunea screen. Moreover, a noncoincident sliding window method is proposed to divide the image into multiple candidate boxes to reduce the number of convolutions. That is, the probability of American Hyphantria cunea is determined by grouping convolution in each candidate box, and two thresholds (E and Q) are set. When the probability is higher than E, the candidate box is regarded as excellent; when the probability is lower than Q, the candidate box is regarded as unqualified; when the probability is in between, the candidate box is regarded as qualified. The unqualified candidate box is eliminated, and the qualified candidate box cannot exit the above steps until the number of extractions of the candidate box reaches the set value or there is no qualified candidate box. Finally, all the excellent candidate boxes are fused to obtain the final recognition result. Experiments show that the recognition rate of this method is higher than 96%, and the processing time of a single picture is less than 150 ms.

Chinese horse bean-chili-paste (CHCP) is a very popular semi-solid condiment with centuries of history in southwestern China. The consumption and international trade have ascended sharply in the pa...

Rapid volatile detection methods for seed vigour rely heavily on artificial ageing (AA), however the comparability of volatile organic compounds (VOCs) to natural ageing (NA) and practicability of the detection models were not well known. In this study, VOCs between AA and NA sweet corn seeds were compared and Partial Least Squares Regression (PLS-R) models were constructed based on AA to predict the seed vigour of NA. A total of 33 VOCs were identified, among which aldehydes showed the highest consistency between NA and AA. Furthermore, a AS-PLS-R model with variable importance in projection (VIP > 1) and Pearson Correlation Coefficient (r > 0.9) algorithms, which was built on 3 volatile markers: benzaldehyde monomer, n-nonanal, 1-butanol monomer, achieved the best performance (R2p of 0.901 and RMSEP of 0.050). Therefore, coupling Gas Chromatography- Ion Mobility Spectrometry (GC-IMS) with chemometrics can be an effective way to monitor and predict stored seeds vigour.

Seed morphology and quality of cultivated soybean (Glycine max) have changed dramatically during domestication from their wild relatives, but their relationship to selection is poorly understood. Here, we describe a semi-dominant locus, ST1 (Seed Thickness 1), affecting seed thickness and encoding a UDP-D-glucuronate 4-epimerase, which catalyses UDP-galacturonic acid production and promotes pectin biosynthesis. Interestingly, this morphological change concurrently boosted seed oil content, which, along with up-regulation of glycolysis biosynthesis modulated by ST1, enabled soybean to become a staple oil crop. Strikingly, ST1 and an inversion controlling seed coat colour formed part of a single selective sweep. Structural variation analysis of the region surrounding ST1 shows that the critical mutation in ST1 existed in earlier wild relatives of soybean and the region containing ST1 subsequently underwent an inversion, which was followed by successive selection for both traits through hitchhiking during selection for seed coat colour. Together, these results provide direct evidence that simultaneously variation for seed morphology and quality occurred earlier than variation for seed coat colour during soybean domestication. The identification of ST1 thus sheds light on a crucial phase of human empirical selection in soybeans and provides evidence that our ancestors improved soybean based on taste.

Renal calcium oxalate (CaOx) stone is a common urologic disease with a high prevalence and recurrence rate. However, short-chain fatty acids (SCFAs) are less often reported in the prevention of urolithiasis. This study aimed to explore the effect of SCFAs on the renal CaOx stone formation and the underlying mechanisms. Ethylene glycol was used to induce renal CaOx crystals in rats. SCFAs (acetate, propionate, or butyrate) were added as supplements to the drinking water with or without antibiotics. Because intestinal oxalate transporters SLC26A6 and SLC26A3 regulate the excretion and absorption of oxalate in the intestine, we injected adeno-associated virus 9 (AAV9)-SLC26A6-shRNA (short hairpin RNA) and AAV9-SLC26A3 into the tail vein of rats to suppress SLC26A6 and overexpress SLC26A3 expression in the intestine, respectively, to explore the role of SLC26A3 and SLC26A6 (SLC26A3/6) in the reduction of renal CaOx crystals induced by SCFAs. Results showed that SCFAs reduced renal CaOx crystals and urinary oxalate levels but, however, increased the abundance of SCFA-producing bacteria and cecum SCFA levels. SCFA supplements still reduced renal crystals and urinary oxalate after gut microbiota depletion. Propionate and butyrate downregulated intestinal oxalate transporter SLC26A3 expression, while acetate and propionate upregulated SLC26A6 expression, both in vivo and in vitro. AAV9-SLC26A3 exerted a protective effect against renal crystals, while AAV9-SLC26A6-shRNA contributed to the renal crystal formation even though the SCFAs were supplemented. In conclusion, SCFAs could reduce urinary oxalate and renal CaOx stones through the oxalate transporter SLC26A6 in the intestine. SCFAs may be new supplements for preventing the formation of renal CaOx stones. IMPORTANCE Some studies found that the relative abundances of short-chain-fatty-acid (SCFA)-producing bacteria were lower in the gut microbiota of renal stone patients than healthy controls. Our previous study demonstrated that SCFAs could reduce the formation of renal calcium oxalate (CaOx) stones, but the mechanism is still unknown. In this study, we found that SCFAs (acetate, propionate, and butyrate) reduced the formation of renal calcium oxalate (CaOx) crystals and the level of urinary oxalate. Depleting gut microbiota increased the amount of renal crystals in model rats, and SCFA supplements reduced renal crystals and urinary oxalate after gut microbiota depletion. Intestinal oxalate transporter SLC26A6 was a direct target of SCFAs. Our findings suggested that SCFAs could reduce urinary oxalate and renal CaOx stones through the oxalate transporter SLC26A6 in the intestine. SCFAs may be new supplements for preventing the formation of renal CaOx stones.

The effects of different phenolic compounds on the interfacial behaviour of casein were investigated, and the action mechanism was further explored. Tannic acid, epigallocatechin gallate, quercetin and quercitrin promoted the aggregation of casein and decreased its solubility. Although the emulsifying and foaming capabilities of casein showed slight decrease with the treatment of phenolic compounds, its emulsifying and foaming stabilities were both greatly improved. By using fluorescence and circular dichroism spectra, phenolic compounds exhibited the capability to bind and form complexes with casein. Meanwhile, the binding interaction by phenolic compounds increased the α-helix content in casein and decreased its random coil content, which indicated a transition of the spatial conformation of casein from disorder to order. By using molecular docking, hydrogen bonds, hydrophobic interactions and Van der Waals were found in the interactions between phenolic compounds and casein. According to the analysis of spectroscopy and simulation results, the structure characteristics of phenolic compounds, including molecular weight, number and position of hydroxyl groups, acylation and glycosylation, exhibited significant effects on their interactions with casein, so as to affect the interfacial behaviour of casein. All present results suggested that phenolic compounds had the potential to improve the properties of casein in food and chemical industries.

Background: Rare diseases impose heavy economic burdens on patients’ families and society worldwide. This study has used the samples from Sichuan Province of China to estimate the curative care expenditure(CCE) of ten rare diseases to provide reference and support for the prioritization of rare disease health policies. Methods: The multi-stage cluster sampling method was adopted to conduct a survey of 9714 rare disease patients from 1,556 medical institutions in Sichuan Province in 2018. Based on System of Health Accounts 2011, the study estimated the total curative care expenditure on rare diseases and identified financing sources and their allocation among different health institutions and the patient population. Results: In 2018, the total CCE of the ten rare diseases in Sichuan Province was 19.001 million US dollars; the top three rare diseases in terms of CCE were Hemophilia ($4.3786 million), Young-onset Parkinson Disease ($2.9627 million) , and Systemic Sclerosis ($2.4457 million); household out-of-pocket expenditure (86.00% for outpatients, 41.60% for inpatients) and social health insurance (7.85% for outpatients; 39.58% for inpatients) were the main sources of financing. The out-of-pocket expenditures for patients with Young-onset Parkinson Disease, Congenital Scoliosis, Autoimmune accounted for more than 60% of the total CCE. More than 80% of the rare disease CCE was incurred in general hospitals. The 40-59 age group consumed the highest percentage of CCE (38.70%) while men spent slightly more (55.37%) than women (44.64%). Conclusions: Since rare disease treatment is costly and household out-of-pocket expenditure is high, we suggest taking steps to include rare disease drugs in the National Reimbursement Drug List, scientifically design insurance coverage range. It is also necessary to explore a multi-tiered Healthcare Security System to pay for the CCE of rare diseases and to reduce the economic burdens of patients.

Soybean seed appearance quality greatly affects the marketability. The objective of this study was to identify the quantitative trait loci (QTLs) that control the appearance quality of soybean seeds. A total of 256 recombinant inbred lines from Qi Huang No.34 × Ji Dou No.17 were utilized for QTL mapping. We innovatively applied a machine vision system to quantify the seed appearance of each line. As a result of QTL mapping, a total of 145 QTLs for the machine vision parameters were detected across three environments. We integrated QTLs mapped overlapped and obtained 16 QTL hotspots in total. Of these hotspots, hotspot-4–1 was suggested to be a major locus controlling seed size, and hotspot-15 was identified to affect the seed color and texture. The mapping for principal components of the seed appearance also supported it. This study comprehensively dug up the QTLs for seed appearance quality of soybean cultivars while providing an efficient method for phenotyping of seed appearance. These results would contribute to dissecting the genetic bases of seed appearance quality for the improvement of soybean. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11032-021-01262-9.

The important role of microbes in the biomineralization and migration behavior of uranium in the field of environmental chemistry has been well emphasized in previous work. However, limited work on mineralization processes of indigenous microorganism has prevented us from a deeper understanding of the process and mechanisms of uranium biomineralization. In this work, the dynamic process and mechanism of uranium biomineralization in Enterobacter sp. X57, a novel uranium-tolerant microorganism separated from uranium contaminated soil, were systematically investigated. Enterobacter sp. X57 can induce intracellular mineralization of U (VI) to Uramphite (NH

Defective permeability barrier is considered to be an incentive of hyperuricemia, however, the link between them has not been proven. Here, we evaluated the potential preventive effects of Lactiplantibacillus plantarum N-1 (LPN1) on gut microbiota and intestinal barrier function in rats with hyperoxaluria-induced kidney stones. Male rats were supplied with 1% ethylene glycol (EG) dissolved in drinking water for 4 weeks to develop hyperoxaluria, and some of them were administered with LPN1 for 4 weeks before EG treatment as a preventive intervention. We found that EG not only resulted hyperoxaluria and kidney stone formation, but also promoted the intestinal inflammation, elevated intestinal permeability, and gut microbiota disorders. Supplementation of LPN1 inhibited the renal crystalline deposits through reducing urinary oxalic acid and renal osteopontin and CD44 expression and improved EG-induced intestinal inflammation and barrier function by decreasing the serum LPS and TLR4/NF-κB signaling and up-regulating tight junction Claudin-2 in the colon, as well as increasing the production of short-chain fatty acid (SCFAs) and the abundance of beneficial SCFAs-producing bacteria, mainly from the families of Lachnospiraceae and Ruminococcaceae. Probiotic LPN1 could prevent EG-induced hyperoxaluria by regulating gut microbiota and enhancing intestinal barrier function.

On September 21, 2019, the Shenzhen and Dongguan Centers for Disease Control and Prevention received notification of a large cluster of suspected gastroenteritis involving primarily children who sought medical care at hospitals throughout two adjacent cities in China, Shenzhen, and Dongguan. A joint outbreak response was promptly initiated across jurisdictions in a concerted effort between clinical microbiologists, epidemiologists, and public health scientists. Concurrently, multiplex PCRs were used for rapid laboratory diagnosis of suspected cases; epidemiological investigations were conducted to identify the outbreak source, complemented by near real-time multicenter whole-genome analyses completed within 34 h. Epidemiological evidence indicated that all patients had consumed egg sandwiches served on September 20 as snacks to children and staff at a nursery in Dongguan, located near Shenzhen.

Renal calcium oxalate (CaOx) stones are a common kidney disease. There are few methods for reducing the formation of these stones. However, the potential of probiotics for reducing renal stones has received increasing interest. We previously isolated a strain of Lactiplantibacillus plantarum N-1 from traditional cheese in China. This study aimed to investigate the effects of N-1 on renal CaOx crystal deposition. Thirty rats were randomly allocated to three groups: control group (ddH2O by gavage), model group [ddH2O by gavage and 1% ethylene glycol (EG) in drinking water], and Lactiplantibacillus group (N-1 by gavage and 1% EG in drinking water). After 4 weeks, compared with the model group, the group treated with N-1 exhibited significantly reduced renal crystals (P < 0.05). In the ileum and caecum, the relative abundances of Lactobacillus and Eubacterium ventriosum were higher in the control group, and those of Ruminococcaceae UCG 007 and Rikenellaceae RC9 were higher in the N-1-supplemented group. In contrast, the relative abundances of Staphylococcus, Corynebacterium 1, Jeotgalicoccus, Psychrobacter, and Aerococcus were higher in the model group. We also predicted that the arginase level would be higher in the ileal microbiota of the model group than in the N-1-supplemented group with PICRUSt2. The arginase activity was higher, while the level of arginine was lower in the ileal contents of the model group than in the N-1-supplemented group. The arginine level in the blood was also higher in the N-1-supplemented group than in the model group. In vitro studies showed that exposure to arginine could reduce CaOx crystal adhesion to renal epithelial HK-2 cells. Our findings highlighted the important role of N-1 in reducing renal CaOx crystals by regulating arginine metabolism in the gut microbiota. Probiotics containing L. plantarum N-1 may be potential therapies for preventing renal CaOx stones.