Intelligent identification of oceanic eddies in remote sensing data via Dual-Pyramid UNet

海洋涡旋是大洋中重要的组成部分,对海洋能量和物质的输送至关重要.海洋涡旋的检测和表征无论是对于海洋气象学,海洋声学还是海洋生物学等领域都具有重要的研究价值.本文基于UNet架构,并结合金字塔分割注意力(PSA)模块和空洞空间卷积池化金字塔(ASPP)构造了Dual-Pyramid UNet模型,以平面异常和海表面温度数据中进行海洋涡旋的识别.实验在北大西洋和南大西洋两个涡旋活跃区域进行并选用多个评价指标对识别结果进行评价以证明模型的优异性能.

Topical Application of Synbiotic Bacillus Preparations Positively Affects Skin (Micro) Biology

Alteration in skin microbiome profile is involved in many skin conditions, therefore, microbiome modulation is a reasonable target for skin health. Probiotic skincare was suggested, and leave-on synbiotic skincare preparation, blending bacillus spores, as probiotic active ingredient, and inulin sugar, as prebiotic booster, is evaluated, using microarray, 16S gene sequencing, and clinical skin analyses. Topical application of leave-on synbiotic skincare on skin model activates a profound effect on skin biology, expressed in the transcriptome level, with higher than 10% affected genes. The significance of the synbiotic preparation on skin biology was assured, indicating the involvement of major biological pathways. Blending probiotic with Polygonum aviculare plant extract, had triggered a distinct gene expression alteration, demonstrating the sensitivity of skin responses to different active substances. A synbiotic skincare application, had successfully introduced live and active Bacillus probiotics on human skin, detectable days after application was finalized. Following synbiotic application, the microbial content of several microorganisms, related to skin pathologies, was reduced, while the content of bacillus species, representing a healthier microbiome status, was increased, suggesting that frequent application may lead to overall healthier skin microbiome. Acne vulgaris involves unbalanced skin microbiome, with expansion of Cutibacterium acnes. The efficacy of a synbiotic skin cream was assessed to improve acne symptoms, including IGA dermatologist acne severity score, the number of counted acne lesions, measured skin oiliness and skin redness, visual appearance of skin-pores, skin smoothness and softness, and Acne Quality of Life Index.

Occurrence of internally ovipositing non-agaonid wasps and pollination mode of the associated agaonid wasps

Figs(Ficus, Moraceae) and their pollinating fig wasps(Hymenoptera, Agaonidae, Chalcidoidea) are a striking example of obligate mutualism and coevolution. Agaonid females enter the figs to lay their eggs,but also actively or passively transport pollen into the figs at the same time. We examined eight related fig tree species pollinated by host specific Eupristina agaonids to determine the relationships between pollination mode, host pollen, ovule ratios and the ability of the figs to recruit additional non-agaonid pollinators. Uniquely amongst the eight Eupristina species, the pollinator of Ficus curtipes has nonfunctional pollen pockets and no coxal combs, showing that it pollinates passively. Reflecting this, the anther-to-ovule ratio of F. curtipes is unusually high.In addition to the agaonids, figs support many species of 'non-pollinating fig wasps'(NPFW) that are typically ovule gallers or parasitoids. These mainly oviposit from outside the figs but there are a few species of NPFW that are like agaonids and enter the figs to oviposit. Two of the eight Eupristina pollinated fig trees support host specific internally-ovipositing fig wasps belonging to the chalcidoid genera Diaziella(Sycoecinae) and Lipothymus(Otitesellinae). Reflecting the trees' pollination modes, these fig wasps act as supplementary pollinators of F. curtipes, but not of Ficus glaberrima, where agaonid pollination is active.

Improvement and Exploration of Teaching Methods for General Entomology in Agriculture and Forestry Colleges and Universities

According to characteristics of General Entomology and existing problems in teaching process,it came up with methods and countermeasures for improving teaching General Entomology,including improving practical ability of students through enhancing all links of practice teaching,and stimulating learning interest of students through improving methods of course examination.

Experience and Ways of Low-carbon Agriculture Development

Firstly,the status quo of low-carbon agriculture development in China was analyzed,and then advanced experience of developed countries in low-carbon agriculture development was introduced,finally ways of developing low-carbon agriculture in China were put forward.

Determination of Factors and Quality Control of Car Painting Based on FMEA and SPC.V2

The global automotive industry demands world-class levels of product quality, productivity, and competitiveness as well as continual improvement. To achieve this goal,?many vehicle manufacturers companies use?quality control tools to improve the quality of the product with zero defects and highly satisfied to the customer. Nowadays, there are a lot of quality tools applied to solve the problem quickly but it’s still the fact to find out good and efficient solving way. The study emphasizes the identification of potential failure which failures may have encountered in the production process and it will lead to car scrap, rework and influence of the internal production and quality target. After the complete study of the manufacturing process and production data-failure causes, failure rate and data etc. FMEA discover the weak processes in the form of higher risk priority number in the manufacturing of the car painting process, which required reducing by identifying and implementing of the defects and this will improve the process quality of the painting surface of the car. To analysis, the improvement of the car surface defects SPC (Statistical Process Control) tools are more efficient where can easily visible the defects trends. SPC chart is chronological graphs of process data that are used in manufactures industries to help understand, control and improve the process and that although based on statistical theory area easy for practitioners to use and interpret. In order to orient goal of zero defects of the car, surface uses the PFMEA technique to prioritize?the defects and statistically analyze the roots cause of the defect and control the defects through continues improvements process.

Urban Growth Modeling Using Neural Network Simulation: A Case Study of Dongguan City, China

Dongguan is an important industrial city, located in the Pearl River Delta, South China. Recently, Dongguan city experienced a rapid urban growth with the locational advantage by transforming from traditional agricultural region to modern manufacturing metropolis. The urban transformation became the usual change in China under the background of urbanization which belongs to one trend of globalization in the 21st century. This paper tries to analyze urban growth simulation based on remotely sensed data of previous years and the related physical and socio-economic factors and predict future urban growth in 2024. The study examined and compared the land use/cover (LUC) changes over time based on produced maps of 2004, 2009, and 2014. The results showed that water and forest area decreased since the past years. In contrast, the urban land increased from 2004 to 2014, and this increasing trend will continue to the future years through the urbanization process. Having understood the spatiotemporal trends of urban growth, the study simulated the urban growth of Dongguan city for 2024 using neural network simulation technique. Further, the figure of merit (FoM) of simulated map of 2014 map was 8.86%, which can be accepted in the simulation and used in the prediction process. Based on the consideration of water body and forest, the newly growth area is located in the west, northeast, and southeast regions of Dongguan city. The finding can help us to understand which areas are going to be considered in the future urban planning and policy by the local government.

Data-driven soft sensors in blast furnace ironmaking:a survey

The blast furnace is a highly energy-intensive,highly polluting,and extremely complex reactor in the ironmaking process.Soft sensors are a key technology for predicting molten iron quality indices reflecting blast furnace energy consumption and operation stability,and play an important role in saving energy,reducing emissions,improving product quality,and producing economic benefits.With the advancement of the Internet of Things,big data,and artificial intelligence,data-driven soft sensors in blast furnace ironmaking processes have attracted increasing attention from researchers,but there has been no systematic review of the data-driven soft sensors in the blast furnace ironmaking process.This review covers the state-of-the-art studies of data-driven soft sensors technologies in the blast furnace ironmaking process.Specifically,wefirst conduct a comprehensive overview of various data-driven soft sensor modeling methods(multiscale methods,adaptive methods,deep learning,etc.)used in blast furnace ironmaking.Second,the important applications of data-driven soft sensors in blast furnace ironmaking(silicon content,molten iron temperature,gas utilization rate,etc.)are classified.Finally,the potential challenges and future development trends of data-driven soft sensors in blast furnace ironmaking applications are discussed,including digital twin,multi-source data fusion,and carbon peaking and carbon neutrality.

Erratum to:Forecasts on CMB lensing observations with AliCPT-1

One of the authors regrets that there was an omission of affiliation in this published article[1].The affiliation information of author Yi-WenWu only included the institution name for the author,and it is advised to add the university as the author’s second affiliation,which is the 16th affiliation of this article.

税收规避、内部控制与会计欺诈

税收规避和财务报告是上市公司面临的两项重要决策,税收规避激进程度和财务报告激进程度是否存在相关关系?现有研究对此尚存在激烈争论,且鲜有研究探讨内部控制在此关系中的作用。本文以2007—2015年A股上市公司为样本,对此进行了实证检验。研究发现:首先,税收规避激进程度和会计欺诈存在负相关关系;其次,高质量的内部控制能够削弱税收规避和会计欺诈之间的关系。进一步检验发现,税收规避和会计欺诈负相关的原因是上市公司为掩饰会计欺诈行为而降低税收规避程度。综上表明,在税收规避和会计欺诈两者间,前者服务于后者;高质量的内部控制是有效制约中国上市公司隐瞒会计欺诈的制度工具。

Characteristics and ozone formation potential of volatile organic compounds in emissions from a typical Chinese coking plant

Coking industry is an important volatile organic compounds(VOCs) emission source in China,however,detailed information on VOCs emissions is lacking.Therefore,we selected a typical mechanized coking plant and collected air samples according to the Emission Standard of Pollutants for Coking Chemical Industry(GB16171-2012).Using gas chromatographymass spectrometry method,we analyzed the VOCs in the air samples,and applied maximum increment reactivity(MIR) rule to estimate ozone formation potential(OFP) of the VOCs emitted from the coke production.More than 90 VOCs species were detected from the coking plant,including alkanes,alkenes,alkynes,aromatic hydrocarbons,halogenated hydrocarbons and oxygenated VOCs.The concentrations of VOCs(p(VOCs)) generated at different stages of the coking process are significantly different.p(VOCs) from coke oven chimney had the highest concentration(87.1 mg/m3),followed by coke pushing(4.0 mg/m3),coal charging(3.3 mg/m3) and coke oven tops(1.1 mg/m3).VOCs species emitted from the coke production processes were dominated by alkanes and alkenes,but the composition proportions were different at the different stages.Alkenes were the most abundant emission species in flue gases of the coke oven chimney accounting for up to 66% of the total VOCs,while the VOCs emissions from coke pushing and coal charging were dominated by alkanes(36% and 42%,respectively),and the alkanes and alkenes emitted from coke oven top were similar(31% and 29%,respectively).Based on above results,reduction of VOCs emissions from coke oven chimney flue gases is suggested to be an effective measure,especially for alkenes.

Breast cancer-associated fibroblasts： their roles in tumor nitiation, progression and clinical applications

Breast cancer is the most common malignant tumor in women, and the incidence of this disease has increased in recent years because of changes in diet, living environment, gestational age, and other unknown factors. Previous studies focused on cancer cells, but an increasing number of recent studies have analyzed the contribution of cancer microenvironment to the initiation and progression of breast cancer. Cancer-associated libroblasts （CAFs）, the most abundant cells in tumor stroma, secrete various active biomolecules, including extraceHular matrix components, growth factors, cytokines, proteases, and hormones. CAFs not only facilitate the initiation, growth, angiogenesis, invasion, and metastasis of cancer but also serve as biomarkers in the clinical diagnosis, therapy, and prognosis of breast cancer. In this article, we reviewed the literature and summarized the research findings on CAFs in breast cancer.

Pollution characteristics and health risk assessment of benzene homologues in ambient air in the northeastern urban area of Beijing, China

Ambient benzene homologues were measured at a site in the northeastern urban area of Beijing, China, from August 24 to September 4, 2012 by SUMMA canister sampling followed by laboratory determination using cryogenic cold trap pre-concentration-GC-MS/FID, and their health risks were also assessed. Daily total benzene homologues ranged from 0.99 to 49.71 μg/m3 with an average of 11.98 μg/m3. Benzene homologues showed higher concentrations in the morning and evening than that at noontime. Comparison with previous studies revealed a trend of decrease for ambient benzene homologues probably due to the effective emission control in Beijing in recent years. Vehicular exhaust was the main source while volatilization of paints and solvents also made substantial contributions. Health risk assessment showed that BTEX （benzene, toluene, ethylbenzene, o-xylene, m-xylene and p-xylene） and styrene had no appreciable adverse non-cancer health risks for the exposed population, while benzene has potential cancer risk of 1.34E-05. Available data from cities in China all implied that benzene imposes relatively higher cancer risk on the exposed populations and therefore strict control measures should be taken to further lower ambient benzene levels in China.

管理会计报告的创新与实践--来自中国石化资产分类管理报告的经验

中国石化根据资产与企业战略定位的契合程度和对预期经济效益的实现程度,创新性地将集团资产重分类为高效、低效、无效和负效资产;在对各类资产进行针对性管理的过程中,形成了由资产分类统计报告、监控报告和创效报告所组成的管理会计报告体系。中国石化的资产分类管理体系以管理会计报告体系为核心,以资产分类的指导纲领、基础设施和绩效考核机制为保障,在运行过程中取得了良好的创效成效。这是对企业管理会计报告的形式、内容及实践应用的一次重大创新,为其他企业的管理会计报告创新之路提供了借鉴。

Ambient volatile organic compounds pollution in China

Owing to rapid economic and industrial development, China has been suffering from degraded air quality and visibility. Volatile organic compounds （VOCs） are important precursors to the formation of ground-level ozone and hence photochemical smog. Some VOCs adversely affect human health. Therefore, VOCs have recently elicited public concern and given new impetus to scientific interest. China is now implementing a series of polices to control VOCs pollution. The key to formulating policy is understanding the ambient VOCs pollution status. This paper mainly analyzes the species, levels, sources, and spatial distributions of VOCs in ambient air. The results show that the concentrations of ambient VOCs in China are much higher than those of developed countries such as the United States and Japan, especial benzene, which exceeds available standards. At the same time, the ozone formation potential （OFP） and secondary organic aerosol formation potential （SOAFP） of various VOCs are calculated. Aromatics and alkenes have much higher OFPs, while aromatics have higher SOAFP. The OFPs of ambient VOCs in the cities of Beijing, Guangzhou and Changchun are very high, and the SOAFP of ambient VOCs in the cities of Hangzhou, Guangzhou and Changchun are higher.

非正障碍函数:面向非线性系统状态安全控制的一类新颖障碍函数

面向系统状态安全的分析与控制,是目前控制领域内的热点研究之一.针对一类具有可行状态集的动态系统,本文深入讨论障碍函数与状态安全判据之间的相关性,通过设计一种新颖的障碍函数,提出了基于障碍函数的状态安全判据,该状态安全判据可用于此类系统的安全分析、诊断与控制.受启发于倒数障碍函数与零障碍函数,本文设计了一类非正障碍函数,并在此基础上提出了面向可行状态集的动态系统状态安全判据,通过验证该可行状态集的前向不变性,从而保证系统的安全性;根据非正障碍函数,建立了控制障碍函数,以此设计面向动态控制系统的状态安全控制器,保障系统的运行安全.上述理论与方法在一类连续搅拌釜反应器的安全运行控制中得以应用,通过仿真验证,证明了理论与方法的有效性,实现了基于障碍函数的安全控制理论在过程控制中的首次尝试.

Division and formation mechanism of coalbed methane reservoir in Huainan Coalfield,Anhui Province,China

The coalbed methane (CBM) reservoir is the basic geological unit of CBM storing and CBM resource developing. The forming conditions of the CBM reservoir include coal thickness, coal rank, seam buried depth, caprock, and geological structure. The division of a CBM reservoir in the Huainan coalfield is mainly based on the geological structure form and seam buried depth. According to the Fufeng nappe and the secondary structures of Huainan syn-clinorium, seven CBM reservoirs are divided in the Huainan Coalfield, such as Caijiagang, and the dynamic mechanism of CBM forming is analyzed. The structural position where the CBM reservoir is located has the important controlling role on the features of CBM reservoir.

Spatial distribution of health risks for residents located close to solvent-consuming industrial VOC emission sources

Emissions derived from the consumption of organic solvents have been proven to be the primary industrial source of volatile organic compounds(VOCs).In conjunction with epidemiologic studies, water-based paints(WBPs) and solvent-based paints(SBPs) were selected as representatives of newly developed solvents and traditional solvents, respectively,to simulate the effects of consuming solvents emitted during industrial production.And non-carcinogenic and carcinogenic risks to residents near emission sources were studied in detail.The results showed that the spatial distribution of health risks varied with meteorological conditions and type of emission source, and the prevailing wind direction strongly affected the distribution range and shape of the influenced area.The areas of influence maximized on heavy-polluting days for both WBP and SBP emission sources with the total span reaching 804 m and 16 km, respectively;meanwhile, the areas of influence for carcinogenic risk resulting from WBP emission sources were 1.2 and 2.3 times greater than those measured on fine and rainy days, respectively, and 1.8 and 2.9 times greater for SBP emission sources.Compared with WBPs, the total spans of negatively influenced regions resulting from SBP emission sources were 10.4, 12.5 and 19.9 times greater on fine, rainy and heavypolluting days, respectively.Therefore, carcinogenic risk was the dominant health threat for populations residing close to solvent-consuming industrial emission sources.The findings suggest that newly developed solvents are capable of significantly reducing consequent health threats, nevertheless, they could still pose occasional threats to nearby residents under specific meteorological conditions.

Probing the origin of our universe through primordial gravitational waves by Ali CMB project

Gravitational waves(GW),which were predicted by Einstein in 1916 based on the classical theory of General Relativity(GR),were recently detected by LIGO[1].This breakthrough is expected to initiate a novel probe of cosmology,the nature of gravity as well as fundamental physics.In general,signals of GWs can be classified into two categories。

Evolutionary and Functional Analysis of the Key Pluripotency Factor Oct4 and Its Family Proteins

Oct4 is one of the key pluripotent factors essential for embryonic stem cells and induced pluripotent stem （iPS） cells. Oct4 belongs to the POU domain family, which contains multiples genes with various important functions. Although the function of Oct4 has been extensively studied, detailed comparison of Oct4 with other POU family genes and their evolutionary analysis are still lacking. Here, we systematically identified POU family genes from lower to higher animal species. We observed an expansion of POU family genes in vertebrates, with an additional increment in mammalian genomes. We analyzed the phylogenetic relationship, tissue specific expression profiles and regulatory networks of POU family genes of the human genome, and predicted the putative binding microRNAs of human POU family genes. These results provide the first comprehensive evolutionary and comparative analysis of POU family genes, which will help to better understand the relationships among POU family genes and shed light on their future functional studies.