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Under the global warming trend, the diffusion of air pollutants has intensified, causing extremely serious environmental problems. In order to improve the air quality–meteorology correlation model’s prediction accuracy, this work focuses on the management strategy of the environmental ecosystem under the Artificial Intelligence (AI) algorithm and explores the correlation between air quality and meteorology. Xi’an city is selected as an example. Then, the theoretical knowledge is explained for Random Forest (RF), Backpropagation Neural Network (BPNN), and Genetic Algorithm (GA) in AI. Finally, GA is used to optimize and predict the weights and thresholds of the BPNN. Further, a fusion model of RF + BP + GA is proposed to predict the air quality and meteorology correlation. The proposed air quality–meteorology correlation model is applied to forest ecosystem management. Experimental analysis reveals that average temperature positively correlates with Air Quality Index (AQI), while relative humidity and wind speed negatively correlate with AQI. Moreover, the proposed RF + BP + GA model’s prediction error for AQI is not more than 0.32, showing an excellently fitting effect with the actual value. The air-quality prediction effect of the meteorological correlation model using RF is slightly lower than the real measured value. The prediction effect of the BP–GA model is slightly higher than the real measured value. The prediction effect of the air quality–meteorology correlation model combining RF and BP–GA is the closest to the real measured value. It shows that the air quality–meteorology correlation model using the fusion model of RF and BP–GA can predict AQI with the utmost accuracy. This work provides a research reference regarding the AQI value of the correlation model of air quality and meteorology and provides data support for the analysis of air quality problems.

Genome mutagenesis drives the evolution of organisms. Here, we developed a

A 9-0HPDC-M hyperproducing strain with high selectivity and yield was constructed and a more efficient route to produce corticosteroids from the phytosterols via pregnatetraenedione was proposed.

We developed a “sequential biphasic batch resolution” process for the production of optically pure (S) and (R)-6-fluoro-chroman-2-carboxylic acid from methyl 6-fluoro-chroman-2-carboxylate.

Mini-DST, as alternative to conventional DST, has been in the industry more than 30 years, and its economic value has showed the advantage over DST, however limited permeability-thickness and investigated radius is a bottle neck which in many cases has much uncertainty to support reservoir characterization. The recently developed Deep Transient Testing technology improved its performance over former mini-DST technology in terms of longer pumping time, larger produced volume, and greater investigation radius. This paper presents a study in a variety of environments and applications, demonstrating how formation testing is being planned, acquired, and used in new ways, including Deep Transient Testing (DTT). The comprehensive radial model approach based on DTT using integration of well logs, numerical simulation grid and pressure transient behavior is built for the first time.To design an effective approach to generate a radially gridded single well predictive model, this workflow requires knowledge of well performance, petrophysics and reservoir simulation. This simulation workflow started with a petrophysical interpretation together with well surveys which serve as essential input data to build a single well predictive model. Rock typing using Heterogenous Rock Analysis (HRA) method resulted in a more detailed properties population along the vertical direction in tartan grid. Defining completions of the well and followed by conversion of tartan grid to radial grid was performed to accurately capture the pressure transient response near wellbore. The radial grid model was setup as a DTT model to forecast the pressure transient behavior of the reservoir incorporating the technology of a new intelligent wireline formation testing platform in the simulation inputs.The outcome of this study produced multiple scenarios incorporating different reservoir tightness from low to high with known thickness. The reason is that as the formation gets tighter; it is more challenging to achieve radial flow and predict producibility. By having uncertainty study in place, we can understand the outcome of each scenario then provide quantitative data to make decision on DTT feasibility, inlet and flow manager selections based on simulation result. This methodology not only optimizes the operation planning and execution, but also estimates pressure drop and the time needed to be on stationary for operational risk mitigation, which are in place to help operators improve certainty in decision making.The case study showed that the advanced 3D radial grid predictive model method addressed the advantage of Interval Pressure Transient Testing (IPTT) and DTT in accessing and evaluating reservoir connectivity, heterogeneity, and drainage radius. In this paper, we are the pioneer in this robust Intelligent FT integrated workflow globally, which was successfully implemented together with all wireline operations within planned time frame involved and delivered with exceptional results.

Perfluorooctanoic acid is a manufactured material extensively utilized in industrial and consumer products. As a persistent organic pollutant, perfluorooctanoic acid has raised increasing public health concerns recently. Although perfluorooctanoic acid is known to induce lipid accumulation in the liver, the impact of perfluorooctanoic acid on different lipid classes has not been fully evaluated. In this study, we performed untargeted lipidomics analysis to investigate the impact of perfluorooctanoic acid on the lipid homeostasis in C57BL/6 male mice. Perfluorooctanoic acid disturbed the lipid profiles in serum and liver, with a variety of lipid classes significantly altered. Greater impacts were observed in the liver lipidome than the serum lipidome. In particular, some lipid clusters in the liver were altered by both high- and low-dose perfluorooctanoic acid exposure, including the increase of unsaturated triglycerides and the decrease of sphingomyelins, saturated phosphatidylcholines, saturated lysophosphatidylcholines, and phospholipid ethers. In parallel with an increase in the liver, a decrease of saturated phosphatidylcholines was found in the serum of high-dose perfluorooctanoic acid-treated mice. The findings from this study are helpful to improve the understanding of perfluorooctanoic acid-induced dysregulation of lipid metabolism and perfluorooctanoic acid-associated health effects in liver.

Harnessing mitochondria is considered as a promising method for biosynthesis of terpenes due to the adequate supply of acetyl-CoA and redox equivalents in mitochondria. However, mitochondrial engineering often causes serious metabolic burden indicated by poor cell growth. Here, we systematically analyzed the metabolic burden caused by the compartmentalization of the MVA pathway in yeast mitochondria for squalene synthesis. The phosphorylated intermediates of the MVA pathway, especially mevalonate-5-P and mevalonate-5-PP, conferred serious toxicity within mitochondria, which significantly compromised its possible advantages for squalene synthesis and was difficult to be significantly improved by routine pathway optimization. These phosphorylated intermediates were converted into ATP analogues, which strongly inhibited ATP-related cell function, such as mitochondrial oxidative respiration. Fortunately, the introduction of a partial MVA pathway from acetyl-CoA to mevalonate in mitochondria as well as the augmentation of the synthesis of mevalonate in cytosol could significantly promote the growth of yeasts. Accordingly, a combinatorial strategy of cytoplasmic and mitochondrial engineering was proposed to alleviate the metabolic burden caused by the compartmentalized MVA pathway in mitochondria and improve cell growth. The strategy also displayed the superimposed effect of cytoplasmic engineering and mitochondrial engineering on squalene production. Through a two-stage fermentation process, the squalene titer reached 21.1 g/L with a specific squalene titer of 437.1 mg/g dcw, which was the highest at present. This provides new insight into the production of squalene and other terpenes in yeasts based on the advantages of mitochondrial engineering.

The development of wireless communication technology and the widespread application of big data has accelerated the degree of globalization. Both English and Chinese are widely used languages internationally, and the cultural exchanges between the two occupy a very important proportion in the world. The society’s demand for English-Chinese translation talents has increased, and colleges and universities have also taken measures to improve students’ English-Chinese translation ability. This article analyzes the English-Chinese translation course under the environment of wireless communication and big data, discusses the influence of the development of wireless communication and big data on the teaching of English-Chinese translation, the problems existing in the teaching of English-Chinese translation in colleges and universities, and gives solutions to the existing problems. Finally, using the method of online survey to investigate the current situation of English-Chinese translation teaching in colleges and universities in the province, 245 valid questionnaires were recovered, only 87 of which indicated that their majors offered separate English translation courses, accounting for 35.51% of the total; 158 indicated their majors. There are no English translation courses, accounting for 64.49% of the total. Such a ratio does not match the overall demand for cultural exchanges in the context of the rapid development of wireless technology and big data. Therefore, the convenience brought by new technologies should be actively used to promote the development of the English-Chinese translation teaching system in colleges and universities.

Soloist is a member of a distinct and small subfamily within the AP2/ERF transcriptional factor family that play important roles in plant biotic and abiotic stress responses. There are limited studies of Soloist genes and their functions are poorly understood. We characterized the abiotic and biotic stress tolerance function of the ScSoloist gene (designated as ScAPD1-like) from the desert moss Syntrichia caninervis. ScAPD1-like responded to multiple abiotic, biotic stresses and plant hormone treatments. ScAPD1-like protein located to the nucleus and bound to several DNA elements. Overexpression of ScAPD1-like in Arabidopsis did not alter abiotic stress resistance or inhibit Pseudomonas syringae pv. tomato (Pst) DC3000 infection. However, overexpression of ScAPD1-like significantly increased the resistance of transgenic Arabidopsis and S. caninervis to Verticillium dahliae infection, decreased reactive oxygen species accumulation and improved reactive oxygen species scavenging activity. ScAPD1-like overexpression plants altered the abundance of transcripts for lignin synthesis and promoted lignin accumulation in Arabidopsis. ScAPD1-like directly bind to RAV1, AC elements, and TATA-box in the promoters of AtPAL1 and AtC4H genes, respectively, in vitro. Chromatin immunoprecipitation-quantitative polymerase chain reaction assays demonstrated ScAPD1-like directly bound to PAL and C4H genes promoters in Arabidopsis and their homologs in S. caninervis. In S. caninervis, ScAPD1-like overexpression and RNAi directly regulated the abundance of ScPAL and ScC4H transcripts and modified the metabolites of phenylpropanoid pathway. We provide insight into the function of Soloist in plant defense mechanisms that likely occurs through activation of the phenylpropanoid biosynthesis pathway. ScAPD1-like is a promising candidate gene for breeding strategies to improve resistance to Verticillium wilt.

Pistacia chinensis Bunge. is one of the main woody oil crops with a large artificial planting area in China and has important economic and ecological value. Here, based on 237 occurrence data and 22 environmental variables, we explored the potential planting area of P. chinensis in China in the present and future climate change scenarios by using a comprehensive model method. To fully consider the potential planting area of P. chinensis under specific climate change conditions and the limitations of soil conditions, we separately built two niche models to simulate the climate niche and soil demand niche, and then used the intersection of the two models as the result of the comprehensive habitat suitability model, finally, we used land-use data to filter the CHS model result. Our results showed, that under the baseline condition, the potential planting area of P. chinensis covers approximately 0.74 × 10

BackgroundMedicine purchasing in Chinese public hospitals is decided by the hospital Pharmacy Management Committee (PMC), that is complex, subjective and requires efficient approaches to ensure transparency and consistency for the factors being considered. This study aimed to use the Evidence and Value: Impact on Decision Making (EVIDEM) framework to assess medicine in these hospitals. In this study anti-diabetic drugs DPP-4 inhibitors, which work by inhibiting the activation of the Dipeptidyl Peptidase 4 (DPP-4) inhibitors, were appraised.MethodsFollowing EVIDEM methodology (EVIDEM-10th), we convened an appraisal group and asked each individual to express their perspectives by assigning weights to each criterion. A systematic literature search for information of each criterion of five DPP-4 inhibitors was completed. Then the appraisal group scored for each criterion of the five DPP-4 inhibitors. The estimated value of the five DPP-4 inhibitors was obtained by Multi-Criteria Decision Analysis (MCDA) which combined individual weighting of each criterion with individual scoring for each intervention in each criterion.ResultsBy assigning weights, the most important criterion was the quality of evidence (4.01±0.52), and that the comparative cost consequences-non-medical cost was the least important criterion (2.87±1.03). Criteria included disease severity, size of the affected population, comparative effectiveness, type of therapeutic/preventive benefit and cost of intervention, all of which were assigned the same weight of 3.58. After MCDA, the overall value orders for each DPP-4 inhibitor included Sitagliptin (0.45), Linagliptin (0.44), Vildagliptin (0.43), Alogliptin (0.42) and Saxagliptin (0.40).ConclusionsBased on EVIDEM framework and MCDA, we found that overall value of five DPP-4 inhibitors was similar. It is feasible to use the EVIDEM framework and MCDA in purchasing medicine for Chinese public hospitals.

Summary The WUSCHEL‐related homeobox (WOX) transcription factors WOX11 and WOX12 regulate adventitious rooting and responses to stress. The underlying physiological and molecular regulatory mechanisms in salt stress tolerance remain largely unexplored. Here, we characterized the roles of PagWOX11/12a from 84K poplar (Populus alba × P. glandulosa) and the underlying regulatory mechanism in salt stress. PagWOX11/12a was strongly induced by salt stress in roots. Overexpression of PagWOX11/12a in poplar enhanced salt tolerance, as evident by the promotion of growth‐related biomass. In contrast, salt‐treated PagWOX11/12a dominant repression plants displayed reduced biomass growth. Under salt stress conditions, PagWOX11/12a‐overexpressed lines showed higher reactive oxygen species (ROS) scavenging capacity and lower accumulation of hydrogen peroxide (H2O2) than non‐transgenic 84K plants, whereas the suppressors displayed the opposite phenotype. In addition, PagWOX11/12a directly bound to the promoter region of PagCYP736A12 and regulated PagCYP736A12 expression. The activated PagCYP736A12 could enhance ROS scavenging, thus reducing H2O2 levels in roots under salt stress in PagWOX11/12a‐overexpressed poplars. The collective results support the important role of PagWOX11/12a in salt acclimation of poplar trees, indicating that PagWOX11/12a enhances salt tolerance through modulation of ROS scavenging by directly regulating PagCYP736A12 expression in poplar.

Human epidermal growth factor (hEGF) has multiple biological functions, and it is a very expensive polypeptide with attractive market prospects. However, the production of hEGF needs for high cost to manufacture polypeptide demands reinvestigations of process conditions so as to enhance economic benefits. Improving the expression of soluble hEGF is the fundamental method to reduce the cost. In this study, a non-secretion engineered strain of biosynthesized hEGF was constructed, using plasmid pET-22b(+) in Escherichia coli. Preliminary fermentation and high cell density cultivation were carried out in shake flasks and in a 5 L bioreactor, respectively. A high yield of 98 ± 10 mg/L of soluble hEGF and a dry cell weight (DCW) of 6.98 ± 0.3 g/L were achieved in shake flasks. Then, fermentation conditions were optimized for large-scale production, while taking into consideration the expensive equipment required for cooling and conforming to industrial standards. A yield of 285 ± 10 mg/L of soluble hEGF, a final cell density of 57.4 ± 2 g/L DCW (OD600 = 141.1 ± 4.9), and hEGF productivity of 14.3 mg/L/h were obtained using a bioreactor at 32 ℃ for 20 h. The production method developed in this study for the biosynthesis of soluble hEGF is efficient and inexpensive.

Hydroxychloroquine (HCQ) is derivative of the heterocyclic aromatic compound quinoline, which has been used for the treatment of autoimmune diseases. The central purpose of this study was to investigate therapeutic effects and inflammatory immunological molecular mechanism of HCQ in experimental autoimmune hepatitis (AIH). Treatment with HCQ ameliorated hepatic pathologic damage, inflammatory infiltration, while promoted regulatory T cell (Treg) and down-regulated CD8+T cell differentiation in AIH mice induced by S-100 antigen. In vitro, HCQ also suppressed pro-inflammatory cytokine (IFN-γ, TNF-α, and IL-12) secretion, promoted anti-inflammatory cytokine (TGF-β1) secretion. HCQ mainly impaired T cell lipid metabolism but not glycolysis to promote Treg differentiation and function. Mechanistically, HCQ down-regulated GRK2 membrane translocation in T cells, inhibited GRK2-PI3K interaction to reduce the PI3K recruiting to the membrane, followed by suppressing the phosphorylation of PI3K-AKT-mTOR signal. Pretreating T cells with paroxetine, a GRK2 inhibitor, disturbed HCQ effect to T cells. HCQ also reversed the activation of the PI3K-AKT axis by 740 Y-P (PI3K agonist). Meanwhile, HCQ inhibited the PI3K-AKT-mTOR, JAK2-STAT3-SOCS3 and increased the AMPK signals in the liver and T cells of AIH mice. In conclusion, HCQ exhibited specific and potent therapeutic effects on AIH and attendant liver injury, which was attributed to HCQ acted on GRK2 translocation, inhibited metabolism-related PI3K-AKT and inflammation-related JAK2-STAT3 signal in T lymphocytes, thereby modulating lipid metabolism of T cell function to regulate Treg differentiation and function.

Food‐derived angiotensin I‐converting enzyme (ACE) inhibitory peptides represent a potential source of new antihypertensive. However, their characteristics and binding mechanisms were not well understood. In this study, novel energy calculation and experimentation were combined to elucidate the characteristics and mechanisms of ACE inhibitory tripeptides. ACE inhibitory activity of all 8,000 tripeptides was investigated by in silico experiments. IC50 values of the five top‐rated tripeptides ranged from 5.86 to 21.84 μM. Five hundred top‐ranked tripeptides were chosen for detailed structure–activity analysis, and a significant preference for aromatic amino acids at both C‐ and N‐terminus was found. By binding free energy analysis of nine representative tripeptides via MM/GBSA, electrostatic energy was found to be the leading energy that contributed to the binding of ACE with its high affinity tripeptides. Besides, S355, V380, and V518, three residues positioned around the classical binding pockets of ACE, also played a key role in ACE's binding. Therefore, for tripeptides, their binding pockets in ACE were redefined. In conclusion, the characteristics of ACE inhibitory peptides were more deeply illustrated by the thorough analysis of all tripeptides. The energy analysis allows a better understanding of the binding mechanisms of ACE inhibitory peptides, which could be used to redesign the ACE inhibitors for stronger inhibitory activity., The characteristics of C‐ and N‐terminus of ACE inhibitory tripeptides were investigated. Electrostatic energy contributed to the binding of ACE with its high affinity tripeptides. S355, V380, and V518 played a key role ACE’s binding with tripeptides.

Stable isotope tracers are applied for in vivo and in vitro studies to reveal the activity of enzymes and intracellular metabolic pathways. Most often, such tracers are used with gas chromatography coupled to mass spectrometry (GC-MS) owing to its ease of operation and reproducible mass spectral databases. Differences in isotope tracer performance of the classic GC-quadrupole MS instrument and newer time-of-flight instruments are not well studied. Here, we used three commercially available instruments for the analysis of identical samples from a stable isotope labeling study that used [U-13C6] d-glucose to investigate the metabolism of the bacterium Rothia mucilaginosa with respect to 29 amino acids and hydroxyl acids involved in primary metabolism. The prokaryote R. mucilaginosa belongs to the family of Micrococcaceae and is present and metabolically active in the airways and sputum of cystic fibrosis patients. Overall, all three GC-MS instruments (low-resolution GC-SQ MS, low-resolution GC-TOF MS, and high-resolution GC-QTOF MS) can be used to perform stable isotope tracing studies for glycolytic intermediates, tricarboxylic acid (TCA) metabolites, and amino acids, yielding similar biological results, with high-resolution GC-QTOF MS offering additional capabilities to identify the chemical structures of unknown compounds that might show significant isotope enrichments in biological studies.

Patchoulol is a tricyclic sesquiterpene widely used in perfumes and cosmetics. Herein, comprehensive engineering strategies were employed to construct an efficient yeast strain for patchoulol production. First, a platform strain was constructed via pathway modification. Second, three off-pathway genes were deleted, which led to significant physiological changes in yeast. Further, strengthening of the ergosterol pathway, enhancement of the energy supply, and a decrease in intracellular reactive oxygen species were implemented to improve the physiological status of yeast, demonstrating a new promotive relationship between ergosterol biosynthesis and synthesis of patchoulol. Moreover, patchoulol synthase was improved through protein modification and Mg2+ addition, reaching a final titer of 141.5 mg/L in a shake flask. Finally, a two-stage fermentation with dodecane addition was employed to achieve the highest production (1632.0 mg/L, 87.0 mg/g dry cell weight, 233.1 mg/L/d) ever reported for patchoulol in a 5 L bioreactor. This work lays a foundation for green and efficient patchoulol production.

Alcohol-associated liver disease is accompanied by dysregulation of bile acid metabolism and gut barrier dysfunction. Peroxisome proliferator-activated receptor-delta (PPARδ) agonists are key metabolic regulators and have anti-inflammatory properties. Here, we evaluated the effect of the selective PPAR-delta agonist seladelpar (MBX–8025) on gut barrier function and bile acid metabolism in a mouse model of ethanol-induced liver disease. Wild type C57BL/6 mice were fed LieberDe-Carli diet containing 0%–36% ethanol (caloric) for 8 weeks followed by a single binge of ethanol (5 g/kg). Pair fed mice received an isocaloric liquid diet as control. MBX-8025 (10 mg/kg/d) or vehicle were added to the liquid diet during the entire feeding period (prevention), or during the last 4 weeks of Lieber DeCarli diet feeding (intervention). In both prevention and intervention trials, MBX-8025 protected mice from ethanol-induced liver disease, characterized by lower serum alanine aminotransferase (ALT) levels, hepatic triglycerides, and inflammation. Chronic ethanol intake disrupted bile acid metabolism by increasing the total bile acid pool and serum bile acids. MBX-8025 reduced serum total and secondary bile acids, and the total bile acid pool as compared with vehicle treatment in both prevention and intervention trials. MBX-8025 restored ethanol-induced gut dysbiosis and gut barrier dysfunction. Data from this study demonstrates that seladelpar prevents and treats ethanol-induced liver damage in mice by direct PPARδ agonism in both the liver and the intestine.

With global climate change, water scarcity threatens whole agro/ecosystems. The desert moss Syntrichia caninervis, an extremophile, offers novel insights into surviving desiccation and heat. The sequenced S. caninervis genome consists of 13 chromosomes containing 16 545 protein-coding genes and 2666 unplaced scaffolds. Syntenic relationships within the S. caninervis and Physcomitrella patens genomes indicate the S. caninervis genome has undergone a single whole genome duplication event (compared to two for P. patens) and evidence suggests chromosomal or segmental losses in the evolutionary history of S. caninervis. The genome contains a large sex chromosome composed primarily of repetitive sequences with a large number of Copia and Gypsy elements. Orthogroup analyses revealed an expansion of ELIP genes encoding proteins important in photoprotection. The transcriptomic response to desiccation identified four structural clusters of novel genes. The genomic resources established for this extremophile offer new perspectives for understanding the evolution of desiccation tolerance in plants.

Potassium (K) is the second most abundant nutrient in plant leaves after nitrogen (N) and the most abundant cation in plant cells. It plays an important role in plant growth regulation, homeostasis maintenance, and stress response. Previous studies on the effects of N input on plant nutrient status mainly focus on N and phosphorus (P), but less on K and its stoichiometry. We examined the effects of N input and mowing on K content and N:K at both plant functional group and community levels. We analyzed the relative contribution of changes in functional groups and community composition to changes of community level nutrition status. The results showed that N input increased N content of each plant functional group and increased K content of rhizomatous grasses and legumes. Mowing reduced N content of rhizomatous grasses and bunchgrass, but did not affect K content and N:K of all functional groups. Nitrogen input significantly increased plant N and K contents at the community level, while mowing significantly increased plant N content. Both N input and mowing did not affect plant N:K at functional group and community levels. The contribution of nutritional changes in plant functional groups to the variation at the community level was greater than that of changes in community composition. For all the three examined nutritional traits, the contribution of nutrients at functional group level and that of community composition showed negative covariation. Our results indicated that plant N:K had high homeostasis in meadow steppe and that plants could regulate N and K balance, which was of great significance for maintaining N:K stoichiometry under the background of increasing N deposition.钾(K)是植物叶片中仅次于氮(N)的第二大营养元素,在调节植物生长发育、稳态维持和胁迫响应等方面具有重要作用。以往关于氮素输入对植物养分状况影响的研究中多关注了氮磷养分,较少关注钾及其与其他元素的计量关系。本研究以内蒙古呼伦贝尔草甸草原为对象,研究氮素添加和刈割对植物功能群水平和群落水平钾含量及计量特征(N∶K)的影响,分析功能群自身养分状况和群落组成改变对群落水平养分状况变化的相对贡献。结果表明: 为期6年的氮素添加提高了所有植物功能群的N含量以及根茎禾草和豆科植物的K含量,刈割降低了根茎禾草和丛生禾草的N含量,而对所有功能群的K含量和N∶K均无显著影响。氮素添加显著提高了群落水平植物N和K含量,刈割仅增加了群落植物的N含量。氮素添加和刈割对功能群和群落水平上的植物N∶K均无显著影响。功能群本身的养分变化情况对群落水平植物养分状况的贡献大于群落组成的贡献。在对群落水平养分特征的影响方面,功能群本身养分变化的贡献与群落组成的贡献具有负的协变关系。呼伦贝尔草甸草原植物具有较高的N∶K内稳性,能够较好地调节自身的氮钾平衡,这对氮沉降背景下维持氮钾元素计量关系具有重要意义。.

While recycling facilities have been significantly upgraded in China, but the effectiveness of these facilities in improving waste management needs to be evaluated. Here, we conducted a nationwide survey by directly taking photographs of the inside of individual waste containers over 11 cities across China. We found that waste from recycling and non-recycling containers generally comprised similar materials. The corresponding waste features extracted by machine learning models tend to be well-mixed but clearly separated after removing the misplaced items, demonstrating an objective means for quantifying the accuracy of waste-sorting process. We therefore proposed the nationwide scale-up of this automated machine learning system, which along with additional incentive programs for better waste-sorting behaviors, may help improve waste management.

Since early 1990's, Downhole Fluid Analysis (DFA) has been developed to monitor mud filtrate contamination for Wireline Formation Tester downhole sampling. DFA can also provide accurate reservoir fluid information in real time such as hydrocarbon composition including CO2. However, DFA technology cannot measure Nitrogen because N2 has no absorption in the Near Infrared Region (NIR). Therefore, it cannot be directly detected with any spectrometer measurement downhole. This paper will present innovative methods that can be used to predict the amount of N2 in each reservoir. These new techniques can help many clients in the EAG and as well as other basins to accurately quantify N2 without the need to wait for PVT laboratory analysis which generally takes several months to complete.Detection of non-hydrocarbon gases in oil and gas fluids, such as nitrogen gas, is very important for reservoir assessment and management. N2 content affects reserve estimation, especially in the area where reservoir fluids have high N2 contents. In our experience, there are several basins in Asia where N2 and CO2 coexist in the same reservoirs. N2 was charged into reservoirs from the source rock in the same geological time as Hydrocarbon (HC). The CO2 then later charged into the same reservoirs. Xu et al (2008) and Mullins (2019) suggested that the ratio of HC. and N2 are in proportional for each basin. However, the CO2 which was later charged are variable in each reservoir depending on CO2 source and charging area. The relationship between HC. and N2 can be used to predict amount of N2 using three proposed methods (1) Basin Base Method (2) Iteration Methods using DFA spectrometer and InSitu Density measurements., and (3) Equation of State (EOS) Method. This nitrogen prediction techniques were developed to better characterize reservoir fluids and overcome the limitation of the existing technology that's unable to detect and measure nitrogen at downhole conditions. This method can offer extra information, especially for our new Ora Intelligent Wireline Formation Tester technology where answer products will be expanded to tailor client objectives.The N2 and HC. relationship from each basin are examined in detail from our DFA and PVT data base. The ratio of N2 and HC. were then recorded as initial value for Basin Base Method. Then the second N2 prediction technique that uses individual hydrocarbon compositions and downhole density measurements were conducted to calculate missing N2 mass from spectrometer measurements. A ternary diagram was prepared to visualize and determine correlation of the gas composition components. It was found that straight line can be obtained on the Ternary diagram between N2, HC., and CO2 for each reservoir. A detailed calculation based on fluid components and partial densities together with iteration process allows to estimate the mass percentage of nitrogen. The results were then compared with actual value from PVT lab. These nitrogen prediction techniques already have been tested and validated using various datasets from South East Asia and other. This technique can be extended to be part of Reservoir Fluid Geodynamic (RFG) to evaluate lateral reservoir connectivity and to better understand CO2 and N2 charge to reservoirs.

Background: 7β-hydroxylated steroids (7β-OHSt) possess significant activities in anti-inflammatory and neuroprotection, and some of them have been widely used in clinics. However, the production of 7β-OHSt is still a challenge due to the lack of cheap 7β-hydroxyl precursor and the difficulty in regio- and stereo-selectively hydroxylation at the inert C7 site of steroids in industry. The conversion of phytosterols by Mycolicibacterium species to the commercial precursor, androst-4-ene-3,17-dione (AD), is one of the basic ways to produce different steroids. This study presents a way to produce a basic 7β-hydroxyl precursor, 7β-hydroxy-androst-4-ene-3,17-dione (7β-OH-AD) in Mycolicibacterium, for 7β-OHSt synthesis. Results: A mutant of P450-BM3, mP450-BM3, was mutated and engineered into an AD producing strain for the efficient production of 7β-OH-AD. The enzyme activity of mP450-BM3 was then increased by 1.38 times through protein engineering and the yield of 7β-OH-AD was increased from 34.24 mg L-1 to 66.25 mg L-1. To further enhance the performance of 7β-OH-AD producing strain, the regeneration of nicotinamide adenine dinucleotide phosphate (NADPH) for the activity of mP450-BM3-0 was optimized by introducing an NAD kinase (NADK) and a glucose-6-phosphate dehydrogenase (G6PDH). Finally, the engineered strain could produce 164.52 mg L-1 7β-OH-AD in the cofactor recycling and regeneration system.Conclusions: This was the first report on the one-step biosynthesis of 7β-OH-AD from the conversion of cheap phytosterols by an engineered microorganism, and the yield was significantly increased through the mutation of mP450-BM3 combined with overexpression of NADK and G6PDH. The present strategy may be developed as a basic industrial pathway for the commercial production of high value products from cheap raw materials.

In this work, Monte Carlo simulations are used to study the critical adsorption behaviors of flexible polymer chains under the action of an external driving force F parallel to an attractive flat surface. The critical adsorption temperature Tc decreases linearly with increasing F, indicating that the driving force suppresses the adsorption of polymer. The conformation of polymer is also affected by the driving force. However, the effect of F is dependent on the competition between the driving force and temperature. Under strong force or at low temperature, the polymer is stretched along the direction of the force, while under weak force or at high temperature, the polymer is not stretched. When the force is comparable to the temperature, the polymer may be stretched perpendicular to the driving force, and below Tc, we observe conformational transitions from parallel to perpendicular and again to parallel by decreasing the temperature. We found that the perpendicular stretched conformation leads the polymer chain to synchronously move along the direction of the driving force. Moreover, the conformational transitions are attributed to the competition and cooperation between the driving force and the temperature.

Background : Although depressive symptoms is a frequent psychiatric comorbidity in people with Heart Failure (HF) in China, its prevalence was not estimated. This is a meta-analysis of studies examining depressive symptoms in HF patients in China. Methods : The following databases including PubMed, the Cochrace Library, Embase, China National Knowledge Infrastructure (CNKI), WanFang and VIP were independently and systematically searched from inception until March 31, 2019. Statistical analyses were performed using the Stata 13.0 software. The pooled prevalence of depressive symptoms was performed using a random-effects model. In addition, subgroup analysis was conducted based on the New York Heart Association (NYHA) functional class, the assessment tools of depression and gender. Results : Altogether 53 studies (10649 participants) met the inclusion criteria for the analysis. The point prevalence of depressive symptoms in HF was 43%. In subgroup analyses, the prevalence of depressive symptoms was higher in females than in males (46% vs 34%, respectively), and the prevalence of depressive symptoms positively correlated with New York Heart Association functional classes (II 28%, III 46%, IV 52%) . Rates of depression were highest when measured using BDI scale (62%), and lowest when measured using the CES-D (31%). Conclusions : This meta-analysis confirmed that the prevalence of depressive symptoms was common in HF patients in China and it is related to the severity of heart failure, gender and the diversity of assessment tools. Appropriate strategies for prevention and treatment of depressive symptoms in this population need greater attention.

Nutrient addition is a widely-used strategy to restore degraded grasslands. It remains unknown whether and how the number of added nutrients affects the soil nematode community in degraded grasslands. We examined the immediate responses of taxonomic and functional composition of the soil nematode community to different numbers of added nutrients using factorial combinations of nitrogen (N), phosphorus (P), and potassium (K + micronutrients) in a degraded grassland of northern China. The taxonomic and functional composition of the soil nematode community generally formed a unimodal relationship with the number of added nutrients. Changes of soil pH after fertilization affected the structural stability and complexity of the soil nematode community. The magnitude of nematode functional responses to nutrient supply was driven by changes of plant aboveground biomass and soil pH. Soil nematode community showed non-linear responses to the variations of the number of added nutrients in a degraded grassland, which contrasts previous findings from plant community. The number of added nutrients should be given full consideration in formulating effective restoration strategies for degraded grasslands.

The study of the critical behavior is important for classifying different configuration states. Recently, machine learning is capable of discriminating polymer states in the presence of human supervision. Here, we introduce an unsupervised approach based on the self-organizing map (SOM) and the autoencoder network to locate critical phase transitions from raw configuration without the necessity for manual feature engineering. High-dimensional configuration data can be encoded to low-dimensional codes by employing neural network of multilayer restrictive Boltzmann machines and the intermediate code can also be reconstructed to high-dimensional input vector. And then the codes are used to cluster different configuration states for polymers adsorbed on the homogeneous and the stripe-patterned surface by the SOM network and K-Means method. This work presents an unusual tool to identify polymer configuration.

Alcohol-related liver disease is a major public health burden, and the gut microbiota is an important contributor to disease pathogenesis. The aim of the present study is to characterize functional alterations of the gut microbiota and test their performance for short-term mortality prediction in patients with alcoholic hepatitis. We integrated shotgun metagenomics with untargeted metabolomics to investigate functional alterations of the gut microbiota and host co-metabolism in a multicenter cohort of patients with alcoholic hepatitis. Profound changes were found in the gut microbial composition, functional metagenome, serum, and fecal metabolomes in patients with alcoholic hepatitis compared with nonalcoholic controls. We demonstrate that in comparison with single omics alone, the performance to predict 30-day mortality was improved when combining microbial pathways with respective serum metabolites in patients with alcoholic hepatitis. The area under the receiver operating curve was higher than 0.85 for the tryptophan, isoleucine, and methionine pathways as predictors for 30-day mortality, but achieved 0.989 for using the urea cycle pathway in combination with serum urea, with a bias-corrected prediction error of 0.083 when using leave-one-out cross validation. Conclusion: Our study reveals changes in key microbial metabolic pathways associated with disease severity that predict short-term mortality in our cohort of patients with alcoholic hepatitis.

Intron-containing genes have the ability to generate multiple transcript isoforms by splicing, thereby greatly expanding the eukaryotic transcriptome and proteome. In eukaryotic cells, precursor mRNA (pre-mRNA) splicing is performed by a mega-macromolecular complex defined as a spliceosome. Among its splicing components, U1 small nuclear ribonucleoprotein (U1 snRNP) is the smallest subcomplex involved in early spliceosome assembly and 5'-splice site recognition. Its central component, named U1-70K, has been extensively characterized in animals and yeast. Very few investigations on U1-70K genes have been conducted in plants, however. To this end, we performed a comprehensive study to systematically identify 115 U1-70K genes from 67 plant species, ranging from algae to angiosperms. Phylogenetic analysis suggested that the expansion of the plant U1-70K gene family was likely to have been driven by whole-genome duplications. Subsequent comparisons of gene structures, protein domains, promoter regions and conserved splicing patterns indicated that plant U1-70Ks are likely to preserve their conserved molecular function across plant lineages and play an important functional role in response to environmental stresses. Furthermore, genetic analysis using T-DNA insertion mutants suggested that Arabidopsis U1-70K may be involved in response to osmotic stress. Our results provide a general overview of this gene family in Viridiplantae and will act as a reference source for future mechanistic studies on this U1 snRNP-specific splicing factor.

Squalene has wide applications in the food and pharmaceutical industries. Engineering microbes to produce squalene is a promising alternative for traditional production approaches. In this study, squalene production was enhanced to 978.24 mg/L through stepwise overexpression of the enzymes that catalyze acetyl-CoA to squalene. Subsequently, to increase the activity of HMG-CoA reductase and alleviate the high dependence on NADPH, the HMG-CoA reductase (NADH-HMGR) from Silicibacter pomeroyi, highly specific for NADH, was introduced, which increased squalene production to 1086.31 mg/L. Native ethanol dehydrogenase ADH2 and acetaldehyde dehydrogenase ADA from Dickeya zeae were further overexpressed, which enhanced the capability to utilize ethanol for squalene synthesis and endowed the engineered strain with greater adaptability to high ethanol concentrations. Finally, a remarkable squalene production of 9472 mg/L was obtained from ethanol via carbon source-controlled fed-batch fermentation. This study will greatly accelerate the process of developing microbial cell factories for squalene production.

Mounting evidence has linked gut microbiome to health benefits of various functional foods. We previously reported that administration of a diet rich in black raspberry (BRB) changed the composition and diverse functional pathways in the mouse gut microbiome. To further characterize the functional profile in the gut microbiome of mice on BRB diet, in this follow-up study, we examined the metabolome differences in the gut microbiome driven by BRB consumption via targeted and untargeted metabolomic approaches. A distinct metabolite profile was observed in the gut microbiome of the mice on BRB diet, likely resulting from a combination of microbiome functional changes and unique precursors in BRBs. A number of functional metabolites, such as tetrahydrobiopterin and butyrate that were significantly increased in the gut microbiome may be linked to the beneficial health effects of BRB consumption. These findings suggest the important role of the gut microbiome in the health effects of BRBs and provide a connection among the health benefits of functional foods and the gut microbiome.

SWATH-MS proteomic approaches enable the identification and quantification of thousands of proteins within a single profiling experiment, which is useful for the identification of genes regulated by abscisic acid (ABA) in a high-throughput manner. Here we describe the experimental procedures for protein extraction, digestion, peptides desalting, followed by the establishment of a DDA spectrum database and DIA-based SWATH detection and protein quantification. This method is able to identify and quantify proteins involved in ABA metabolism, signal perception and transduction with high accuracy and reproducibility.

Dietary modulation of the gut microbiota recently received considerable attention, and ligand activation of aryl hydrocarbon receptor (AHR) plays a pivotal role in intestinal immunity. Importantly, black raspberry (BRB, Rubus occidentalis) is associated with a variety of beneficial health effects. We aim to investigate effects of a BRB-rich diet on dextran sulfate sodium (DSS)-induced intestinal inflammation and to determine whether its consequent anti-inflammatory effects are relevant to modulation of the gut microbiota, especially its production of AHR ligands. A mouse model of DSS-induced intestinal inflammation was used in the present study. C57BL/6J mice were fed either AIN-76A or BRB diet. Composition and functions of the gut microbiota were assessed by 16S rRNA sequencing and comparative metagenome analysis. Metabolic profiles of host and the gut microbiome were assessed by serum and fecal metabolomic profiling and identification. BRB diet was found to ameliorate DSS-induced intestinal inflammation and host metabolic perturbation. BRB diet also protected from DSS-induced perturbation in diversity and composition in the gut microbiota. BRB diet promoted AHR ligand production by the gut microbiota, as revealed by increased levels of fecal AHR activity in addition to increased levels of two known AHR ligands, hemin and biliverdin. Accordingly, enrichment of bacterial genes and pathways responsible for production of hemin and biliverdin were found, specific gut bacteria that are highly correlated with abundances of hemin and biliverdin were also identified. BRB dietary intervention ameliorated intestinal inflammation in mice in association with promotion of AHR ligand production by the gut microbiota.

The study aims to enhance β-amyrin production in