Comparison of Ozone and PM2.5 Concentrations over Urban,Suburban,and Background Sites in China

Surface ozone(O3)and fine particulate matter(PM2.5)are dominant air pollutants in China.Concentrations of these pollutants can show significant differences between urban and nonurban areas.However,such contrast has never been explored on the country level.This study investigates the spatiotemporal characteristics of urban-to-suburban and urban-tobackground difference for O3(Δ[O3])and PM2.5(Δ[PM2.5])concentrations in China using monitoring data from 1171 urban,110 suburban,and 15 background sites built by the China National Environmental Monitoring Center(CNEMC).On the annual mean basis,the urban-to-suburbanΔ[O3]is−3.7 ppbv in Beijing-Tianjin-Hebei,1.0 ppbv in the Yangtze River Delta,−3.5 ppbv in the Pearl River Delta,and−3.8 ppbv in the Sichuan Basin.On the contrary,the urban-to-suburbanΔ[PM2.5]is 15.8,−0.3,3.5 and 2.4μg m^−3 in those areas,respectively.The urban-to-suburban contrast is more significant in winter for bothΔ[O3]andΔ[PM2.5].In eastern China,urban-to-background differences are also moderate during summer,with−5.1 to 6.8 ppbv forΔ[O3]and−0.1 to 22.5μg m^−3 forΔ[PM2.5].However,such contrasts are much larger in winter,with−22.2 to 5.5 ppbv forΔ[O3]and 3.1 to 82.3μg m^−3 forΔ[PM2.5].Since the urban region accounts for only 2%of the whole country’s area,the urban-dominant air quality data from the CNEMC network may overestimate winter[PM2.5]but underestimate winter[O3]over the vast domain of China.The study suggests that the CNEMC monitoring data should be used with caution for evaluating chemical models and assessing ecosystem health,which require more data outside urban areas.

Tandem Biocatalysis by CotA-TJ102@UIO-66-NH2 and Novozym 435 for Highly Selective Transformation of HMF into FDCA

2,5-Furandicarboxylic acid (FDCA) is a potential biorenewable chemical for applications including plastics, polyamides, drugs, etc. The selective biosynthesis of FDCA from 5-hydroxymethylfurfural (HMF) by a speci c enzyme poses a great challenge. In this study, we reported an e cient strategy to produce FDCA from HMF by the tandem biocatalysis of laccase (CotA-TJ102@UIO-66-NH 2 ) and Novozym 435. For the rst step, a nanoparticle metal organic framework was synthesized as a carrier to immobilize CotA-TJ102@UIO-66-NH 2 , which was assigned for the production of 5-formyl-2-furancarboxylic acid (FFCA) and featured an enzyme loading of 255.54 mg/g, speci c activity of 135.90 U/mg, and solid loading ratio of 99.65%. Under optimal conditions, an ideal FFCA yield of 98.5% was achieved, and the CotA-TJ102@UIO-66-NH2 pre- sented a high recycling capacity after 10 cycles. For the second step, Novozym 435 was applied for the further conversion of FFCA into FDCA, presenting a high FDCA yield of 95.5% under the optimized conditions. Novozym 435 also exhibited a high recyclability after eight cycles. As a result, the tandem biocatalysis strategy provided a 94.2% FDCA yield from HMF, indicating its excellence as a method for FDCA production.

Estimation of leaf color variances of Cotinus coggygria based on geographic and environmental variables

Capturing leaf color variances over space is important for diagnosing plant nutrient and health status,estimating water availability as well as improving ornamental and tourism values of plants.In this study,leaf color variances of the Eurasian smoke tree,Cotinus coggygria were estimated based on geographic and climate variables in a shrub community using generalized elastic net(GELnet)and support vector machine(SVM)algorithms.Results reveal that leaf color varied over space,and the variances were the result of geography due to its effect on solar radiation,temperature,illumination and moisture of the shrub environment,whereas the influence of climate were not obvious.The SVM and GELnet algorithm models were similar estimating leaf color indices based on geographic variables,and demonstrates that both techniques have the potential to estimate leaf color variances of C.coggygria in a shrubbery with a complex geographical environment in the absence of human activity.

Relationship between age of pregnant women with gestational diabetes mellitus and mode of delivery and neonatal Apgar score

BACKGROUND Gestational diabetes mellitus(GDM)refers to abnormal glucose tolerance during pregnancy,and it is often accompanied by obvious changes in glucose and lipid metabolism,and associated with adverse pregnancy outcomes.The incidence of fetal distress,polyhydramnios,puerperal infection,premature delivery,and macrosomia in pregnant women with GDM are higher than in those without GDM.AIM To analyze the relationship between age of pregnant women with GDM and mode of delivery and neonatal Apgar score.METHODS A total of 583 pregnant women with GDM who delivered in the Department of Obstetrics at our hospital between March 2019 and March 2022 were selected.Among them,377 aged<35 years were selected as the right age group and 206 aged>35 years were selected as the older group.The clinical data of the two groups were collected,and the relationship between age of the pregnant women with GDM and mode of delivery,maternal and neonatal outcomes,and neonatal Apgar score were compared.In the older group,159 women were classed as the adverse outcome group and 47 as the good outcome group according to whether they had adverse maternal and infant outcomes.The related factors of adverse maternal and infant outcomes were analyzed through logistic regression.RESULTS The number of women with assisted pregnancy,≤37 wk gestation,≥2 pregnancies,one or more deliveries,and no pre-pregnancy blood glucose screening in the older group were all higher than those in the right age group(P<0.05).The natural delivery rate in the right age group was 40.85%,which was higher than 22.33%in the older group(P<0.05).The cesarean section rate in the older group was 77.67%,which was higher than 59.15%in the right age group(P<0.05).The older group had a higher incidence of polyhydramnios and postpartum hemorrhage,and lower incidence of fetal distress than the right age group had(P<0.05).There was no significant difference in neonatal weight between the two groups(P>0.05).The right age group had higher Apgar scores at 1 and 5 min than the older group had(P<0.05).Significant differences existed between the poor and good outcome groups in age,education level,pregnancy mode,≤37 wk gestation,number of pregnancies,and premature rupture of membranes(P<0.05).Logistic regression showed that age,education level and premature rupture of membranes were all risk factors affecting the adverse outcomes of mothers and infants(P<0.05).CONCLUSION Delivery mode and Apgar score of pregnant women with GDM are related to age.Older age increases the adverse outcome of mothers and infants.

Membrane Separation Technology on Pharmaceutical Wastewater by Using MBR (Membrane Bioreactor)

This study demonstrated the feasibility of implementing of MBR in pharmaceutical wastewater independently, and concluded different applications of MBR in industries. Membrane bioreactor (MBR) technology was a new wastewater treatment technology with a combination of membrane separation technology and biological treatment technology, which had unique advantages on pharmaceutical wastewater treatment. The modified membrane rector design provided a significantly lower concentration of NH3-N, Phosphorous, Total Nitrogen and COD around the membranes, and subsequently a more sustainable membrane performance due to much lower overall fouling rates. In this paper, the classification and structure of biological waste water treatment by using MBR technology were summed up along with some examples of MBR in industrial wastewater treatment, which was emphatically analyzed and discussed. Finally, the prospect of MBR in industrial wastewater treatment was described. The industrial wastewater was a high-strength wastewater which had characteristics of complicated constituents, high organics concentration, highly toxic.

Industrial Wastewater Treatment by Using MBR (Membrane Bioreactor) Review Study

This study demonstrated the importance, process, activation and applications of Membrane in bioreactor to treat the waste water. Membrane Bioreactor (MBR) process consists of a biological reactor integrated with membranes that combine clarification and filtration of an activated sludge process into a simplified, single step process. Operating as an MBR allows conventional activated sludge plants to become single step processes, which produce high quality effluent potentially suitable for reuse. Application of MBR technology for industrial wastewater treatment has also gained attention because of the robustness of the process. Theoretically, maintenance of long SRT in MBR is in favor of the retention and development of special microorganisms, which may lead to better removal of refractory organic matter and make the system more robust to load variations and toxic shocks. Literature suggested the conceptual expectation of enhanced biodegradation of hardly biodegradable compounds in MBR does not often come true. Improved biodegradation to certain extent has been reported in a few studies;however the underlying factors leading to such improvement still remains to be elucidated. This is comprehensive review of the studies dealing with recalcitrant industrial wastewater treatment by MBR, and casts light on the strategies to achieve enhanced biodegradation of hardly biodegradable industrial pollutants in MBR.

Bibliometric analysis of literature regarding ostomy research based on the Web of Science database

Objective： To analyze the literature status and research hotspots of Science Citation Index （SCI）-related ostomy in the world and to provide references for scientific research and clinical work in the stoma care field. Methods： Based on the Web of Science core database and its own analysis function, HistCite analysis software and Excel were used to study the published research about ostomy patients. Results： A total of 1,262 articles were published between 1910 and 2016 with the authors from 48 countries and regions, 1,347 research institutions, published in 321 journals, with 4,048 first authors and coauthors; globally, there was a trend of slow growth in the number of authors every year. The study in the USA was absolutely in the lead position, and Canada and Turkey were more active. China＇s circulation volume was the 15th in the world. The periodical that published most often was the Journal of Wound Ostomy and Continence Nursing. The most interdisciplinary surgical studies were surgery and nursing, where these should be considered important. The most prolific author in the field was ＂Grant＂, and the highest cited article was entitled as ＂Living with a stoma： a review of the literature＂. Conclusions： The related research of global stoma is constantly developing. The research hotspot is nursing before and after stoma surgery. China and the USA are leading countries in research. They should follow the recent trend to improve the depth and breadth of the research in the field.

Analysis of Factors Influencing Forest Carbon Sequestration Project in Guangdong Province and Recommendations

Through designing questionnaires for farmers in the project area,the understanding and utilization of carbon sink forests were surveyed. In the form of stratified sampling,150 representative forest farmers were selected from the project area. Through the survey,it found that many factors hindered the progress of forest carbon sequestration project in Guangdong Province. Besides,the implementation of this project was influenced by both natural and social factors. As to the natural factors,natural disasters for the forest carbon sequestration project in Guangdong Province mainly include typhoons,rainstorms,landslides and mudslides. The social factors of the forest carbon sequestration project in Guangdong Province mainly include the weak willingness of forest farmers to participate,the low awareness of forest farmers for forest carbon sinks,the single and insufficient source of afforestation funds,and the single afforestation model. In order to better implement the forest carbon sequestration project,Guangdong Province can take measures such as strengthening the publicity on forest carbon sinks,expanding channels of funds,organizing forest carbon exchange training courses,and diversifying the afforestation models.

SWOT Analysis of Forest Carbon Sink Projects in Yunnan Province and Recommendations for Enhancing Competitiveness

Using the SWOT analysis method,this paper analyzed the internal strengths,weaknesses,external opportunities and threats of forest carbon sink projects in Yunnan Province.It found that Yunnan Province has strengths in economic environment and practical experience,weaknesses in social participation,project scale and carbon sink talents,opportunities in international climate environment,domestic policies,etc.,and threats in project crediting period and forest resource protection,etc.In view of these,Yunnan Province can change the participation mode of forest carbon sink projects,adopt appropriate trading methods,get familiar with the relevant rules of forest carbon sink projects,strengthen the publicity and research of forest carbon sink theory,strengthen the management of carbon sink forests and expand forest carbon sink projects to enhance the market competitiveness of the Yunnan forest carbon sink projects.

危重症患者CRRT过程中低磷血症发生与预后的回顾性研究

目的了解危重症患者连续性肾脏替代治疗(CRRT)过程中相关低磷血症的发生率,探索其发生的危险因素,并评估补磷治疗的临床获益。方法选取西安交通大学第一附属医院2017年1月1日至2018年12月31日期间接受CRRT的451例危重症患者为研究对象,根据血清磷水平是否<0.81 mmol/L将入选的患者分为低磷血症组(297例)与非低磷血症组(154例),收集2组患者的年龄、性别、合并基础疾病、主要诊断、临床评分、CRRT上机目的、上机前电解质水平、住院时间、预后情况等基础及临床信息,分析低磷血症发生和发展可能的危险因素;进一步将发生低磷血症的患者根据是否补磷进行二次分类,分析补磷治疗对患者的住院时间及预后有无改善。结果接受CRRT的危重症患者低磷血症的发生率为65.85%,女性(OR=2.484,95%CI:1.413~4.367)、CRRT上机前较低的血磷水平(OR=0.469,95%CI:0.326~0.673)和CRRT上机治疗总时间较长(OR=1.054,95%CI:1.038~1.070)的患者更容易发生低磷血症,女性患者(P=0.014)、泌尿系统基础疾病(P=0.012)、主要诊断为泌尿系统疾病(P=0.013)、上机前血磷水平更低(P=0.019)、更长的CRRT上机治疗总时间(P<0.001)、ICU住院时间(P<0.001)均与患者出现更为严重的低磷血症相关。补磷组与非补磷组2组患者住院期间、出院30 d、出院90 d的病死率差异无统计学意义,但是补磷组患者在CRRT期间接受磷酸盐补充后,其下机后首次血磷值较CRRT期间血磷平均值均有提高[(0.11±0.50)mmol/L]。结论危重症患者CRRT期间低磷血症的发生率较高,可采用性别与CRRT治疗总时间联合预测CRRT相关低磷血症的发生,对于发生低磷血症的患者,可以给予适当的补磷治疗。

Wind disturbance compensated path-following control for fixed-wing UAVs in arbitrarily strong winds

Wind is the primary challenge for low-speed fixed-wing unmanned aerial vehicles to follow a predefined flight path.To cope with various wind conditions,this paper proposes a wind disturbance compensated path following control strategy where the wind disturbance estimate is incorporated with the nominal guiding vector field to provide the desired airspeed direction for the inner-loop.Since the control input vector for the outer-loop kinematic subsystem needs to satisfy a magnitude constraint,a scaling mechanism is introduced to tune the proportions of the compensation and nominal components.Moreover,an optimization problem is formulated to pursue a maximum wind compensation in strong winds,which can be solved analytically to yield two scaling factors.A cascaded inner-loop tracking controller is also designed to fulfill the outer-loop wind disturbance compensated guiding vector field.High-fidelity simulation results under sensor noises and realistic winds demonstrate that the proposed path following algorithm is less sensitive to sensor noises,achieves promising accuracy in normal winds,and mitigates the deviation from a desired path in wild winds.

Diagnostic value of digital continuous bowel sounds in critically ill patients with acute gastrointestinal injury: A prospective observational study

BACKGROUND Acute gastrointestinal injury(AGI)is common in intensive care unit(ICU)and worsens the prognosis of critically ill patients.The four-point grading system proposed by the European Society of Intensive Care Medicine is subjective and lacks specificity.Therefore,a more objective method is required to evaluate and determine the grade of gastrointestinal dysfunction in this patient population.Digital continuous monitoring of bowel sounds and some biomarkers can change in gastrointestinal injuries.We aimed to develop a model of AGI using continuous monitoring of bowel sounds and biomarkers.AIM To develop a model to discriminate AGI by monitoring bowel sounds and biomarker indicators.METHODS We conducted a prospective observational study with 75 patients in an ICU of a tertiary-care hospital to create a diagnostic model for AGI.We recorded their bowel sounds,assessed AGI grading,collected clinical data,and measured biomarkers.We evaluated the model using misjudgment probability and leave-one-out cross-validation.RESULTS Mean bowel sound rate and citrulline level are independent risk factors for AGI.Gastrin was identified as a risk factor for the severity of AGI.Other factors that correlated with AGI include mean bowel sound rate,amplitude,interval time,Sequential Organ Failure Assessment score,Acute Physiology and Chronic Health Evaluation II score,platelet count,total protein level,blood gas potential of hydrogen(pH),and bicarbonate(HCO3-)level.Two discriminant models were constructed with a misclassification probability of<0.1.Leave-one-out cross-validation correctly classified 69.8%of the cases.CONCLUSION Our AGI diagnostic model represents a potentially effective approach for clinical AGI grading and holds promise as an objective diagnostic standard for AGI.

Impact of CYP3A4*1G Polymorphism on Fentanyl Analgesia Assessed by Analgesia Nociception Index in Chinese Patients Undergoing Hysteroscopy

Background:The clinical efficacy of fentanyl for pain control differs greatly across individuals.The purpose of this study was to investigate the impact of CYP3A4*1G polymorphism including wild-type homozygote (CYP3A4*1/*1,GG),mutant heterozygote (CYP3A4*1/*1G,GA),and mutant homozygote (CYP3A4*1G/*1G,AA)on fentanyl analgesia in Chinese patients undergoing hysteroscopy by the assessment of analgesia nociception index (ANI). Methods:A total of 200 gynecologic patients scheduled for elective hysteroscopy under general anesthesia at Peking University People's Hospital from May to December in 2017 were enrolled in this study.Venous blood was withdrawn for genotyping of CYP3A4*1G before operation.Fentanyl 1μg/kg was administered preoperatively followed by target-controlled infusion of propofol for induction and maintenance.Intraoperative analgesic efficacy of fentanyl was assessed by ANI monitoring at T0(entering room),T1(cervical dilation), T2(start of cervical aspiration),and T3(end of cervical aspiration)time points.The duration of propofol infusion and total dosage of propofol were recorded as well. Results:The patients were divided into three groups according to CYP3A4*1G polymorphism,including 143 in GG group,47in GA group, and 10 in AA group.There was no significant difference in clinical demographics among three groups.The frequency of CYP3A4*1G variant alleles accounted for 16.8%and the distribution of variant alleles was consistent with Hardy-Weinberg equilibrium.Using a multilevel model,ANI values at T1(63.81±19.61),T2(63.63±17.82),and T3(65.68±17.79)were significantly lower than that at T0 (77.16±12.93)in the study population (F =23.50,P <0.001),suggesting that higher levels of pain at T 1,T2,and T3 than T0.Patients with GG genotype showed significantly lower ANI than those with GA or AA genotypes during hysteroscopy under the same dose of fentanyl. Conclusion:CYP3A4*1G polymorphism associated with the analgesic efficacy of intraoperative fentanyl in the patients undergoing hysteroscopy under general anesthesia.

Foundry manufacturing of tight-confinement,dispersion-engineered,ultralow-loss silicon nitride photonic integrated circuits

The foundry development of integrated photonics has revolutionized today’s optical interconnect and datacenters.Over the last decade,we have witnessed the rising of silicon nitride(Si_(3)N_(4)) integrated photonics,which is currently transferring from laboratory research to foundry manufacturing.The development and transition are triggered by the ultimate need for low optical loss offered by Si_(3)N_(4),which is beyond the reach of silicon and III-V semiconductors.Combined with modest Kerr nonlinearity,tight optical confinement,and dispersion engineering,Si_(3)N_(4) has today become the leading platform for linear and Kerr nonlinear photonics,and it has enabled chip-scale lasers featuring ultralow noise on par with table-top fiber lasers.However,so far all the reported fabrication processes of tight-confinement,dispersion-engineered Si_(3)N_(4) photonic integrated circuits(PICs)with optical loss down to few dB/m have only been developed on 4-inch(100 mm diameter)or smaller wafers.Yet,to transfer these processes to established CMOS foundries that typically operate 6-inch or even larger wafers,challenges remain.In this work,we demonstrate the first foundry-standard fabrication process of Si_(3)N_(4) PICs with only 2.6 dB/m loss,thickness above 800 nm,and near 100%fabrication yield on 6-inch(150 mm diameter)wafers.Such thick and ultralow-loss Si_(3)N_(4) PIC enables low-threshold generation of soliton frequency combs.Merging with advanced heterogeneous integration,active ultralow-loss Si_(3)N_(4) integrated photonics could pave an avenue to addressing future demands in our increasingly information-driven society.

Multi-dimensional optimization for approximate near-threshold computing

The demise of Dennard’s scaling has created both power and utilization wall challenges for computer systems.As transistors operating in the near-threshold region are able to obtain flexible trade-offs between power and performance,it is regarded as an alternative solution to the scaling challenge.A reduction in supply voltage will nevertheless generate significant reliability challenges,while maintaining an error-free system that generates high costs in both performance and energy consumption.The main purpose of research on computer architecture has therefore shifted from performance improvement to complex multi-objective optimization.In this paper,we propose a three-dimensional optimization approach which can effectively identify the best system configuration to establish a balance among performance,energy,and reliability.We use a dynamic programming algorithm to determine the proper voltage and approximate level based on three predictors:system performance,energy consumption,and output quality.We propose an output quality predictor which uses a hardware/software co-design fault injection platform to evaluate the impact of the error on output quality under near-threshold computing(NTC).Evaluation results demonstrate that our approach can lead to a 28% improvement in output quality with a 10% drop in overall energy efficiency;this translates to an approximately 20% average improvement in accuracy,power,and performance.