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| 1 | Carbon pools and fluxes in the China Seas and adjacent oceans显示文摘The China Seas include the South China Sea, East China Sea, Yellow Sea, and Bohai Sea. Located off the Northwestern Pacific margin, covering 4700000 km^2 from tropical to northern temperate zones, and including a variety of continental margins/basins and depths, the China Seas provide typical cases for carbon budget studies. The South China Sea being a deep basin and part of the Western Pacific Warm Pool is characterized by oceanic features; the East China Sea with a wide continental shelf, enormous terrestrial discharges and open margins to the West Pacific, is featured by strong cross-shelf materials transport; the Yellow Sea is featured by the confluence of cold and warm waters; and the Bohai Sea is a shallow semiclosed gulf with strong impacts of human activities. Three large rivers, the Yangtze River, Yellow River, and Pearl River, flow into the East China Sea, the Bohai Sea, and the South China Sea, respectively. The Kuroshio Current at the outer margin of the Chinese continental shelf is one of the two major western boundary currents of the world oceans and its strength and position directly affect the regional climate of China. These characteristics make the China Seas a typical case of marginal seas to study carbon storage and fluxes. This paper systematically analyzes the literature data on the carbon pools and fluxes of the Bohai Sea,Yellow Sea, East China Sea, and South China Sea, including different interfaces(land-sea, sea-air, sediment-water, and marginal sea-open ocean) and different ecosystems(mangroves, wetland, seagrass beds, macroalgae mariculture, coral reefs, euphotic zones, and water column). Among the four seas, the Bohai Sea and South China Sea are acting as CO_2 sources, releasing about0.22 and 13.86–33.60 Tg C yr^(-1) into the atmosphere, respectively, whereas the Yellow Sea and East China Sea are acting as carbon sinks, absorbing about 1.15 and 6.92–23.30 Tg C yr^(-1) of atmospheric CO_2, respectively. Overall, if only the CO_2 exchange at the sea-air interface is considered, the Chinese marginal seas appear to be a source of atmospheric CO_2, with a net release of 6.01–9.33 Tg C yr^(-1), mainly from the inputs of rivers and adjacent oceans. The riverine dissolved inorganic carbon (DIC) input into the Bohai Sea and Yellow Sea, East China Sea, and South China Sea are 5.04, 14.60, and 40.14 Tg C yr^(-1),respectively. The DIC input from adjacent oceans is as high as 144.81 Tg C yr^(-1), significantly exceeding the carbon released from the seas to the atmosphere. In terms of output, the depositional fluxes of organic carbon in the Bohai Sea, Yellow Sea, East China Sea, and South China Sea are 2.00, 3.60, 7.40, and 5.92 Tg C yr^(-1), respectively. The fluxes of organic carbon from the East China Sea and South China Sea to the adjacent oceans are 15.25–36.70 and 43.93 Tg C yr^(-1), respectively. The annual carbon storage of mangroves, wetlands, and seagrass in Chinese coastal waters is 0.36–1.75 Tg C yr^(-1), with a dissolved organic carbon(DOC) output from seagrass beds of up to 0.59 Tg C yr^(-1). Removable organic carbon flux by Chinese macroalgae mariculture account for 0.68 Tg C yr^(-1) and the associated POC depositional and DOC releasing fluxes are 0.14 and 0.82 Tg C yr^(-1), respectively. Thus, in total, the annual output of organic carbon, which is mainly DOC, in the China Seas is 81.72–104.56 Tg C yr^(-1). The DOC efflux from the East China Sea to the adjacent oceans is 15.00–35.00 Tg C yr^(-1). The DOC efflux from the South China Sea is 31.39 Tg C yr^(-1). Although the marginal China Seas seem to be a source of atmospheric CO_2 based on the CO_2 flux at the sea-air interface, the combined effects of the riverine input in the area, oceanic input, depositional export,and microbial carbon pump(DOC conversion and output) indicate that the China Seas represent an important carbon storage area. | Nianzhi JIAO Yantao LIANG Yongyu ZHANG Jihua LIU Yao ZHANG Rui ZHANG Meixun ZHAO Minhan DAI Weidong ZHAI Kunshan GAO Jinming SONG Dongliang YUAN Chao LI Guanghui LIN Xiaoping HUANG Hongqiang YAN Limin HU Zenghu ZHANG Long WANG Chunjie CAO Yawei LUO Tingwei LUO Nannan WANG Hongyue DANG Dongxiao WANG Si ZHANG | 2018 | Science China Earth Sciences2018，61，11： | 12 |
| 2 | Processes of coastal ecosystem carbon sequestration and approaches for increasing carbon sink显示文摘The oceans are the largest carbon pools on Earth, and play the role of a 'buffer' in climate change. Blue carbon, the carbon(mainly organic carbon) captured by marine ecosystems, is one of the important mechanisms of marine carbon storage.Blue carbon was initially recognized only in the form of visible coastal plant carbon sequestration. In fact, microorganisms(phytoplankton, bacteria, archaea, viruses, and protozoa), which did not receive much attention in the past, account for more than 90% of the total marine biomass and are the main contributors to blue carbon. Chinese coastal seas, equivalent to 1/3 of China's total land area, have a huge carbon sink potential needing urgently research and development. In this paper, we focus on the processes and mechanisms of coastal ocean's carbon sequestration and the approaches for increasing that sequestration. We discuss the structures of coastal ecosystems, the processes of carbon cycle, and the mechanisms of carbon sequestration. Using the evolution of coastal ocean's carbon sinks in sedimentary records over geologic times, we also discuss the possible effects of natural processes and anthropogenic activities on marine carbon sinks. Finally, we discuss the prospect of using carbon sequestration engineering for increasing coastal ocean's carbon storage capacity. | ZHANG Yao ZHAO MeiXun CUI Qiu FAN Wei QI JiaGuo CHEN Ying ZHANG YongYu GAO KunShan FAN JingFeng WANG GuangYi YAN ChongLing LU HaoLiang LUO YaWei ZHANG ZiLian ZHENG Qiang XIAO Wei JIAO NianZhi | 2017 | Science China Earth Sciences2017，60，5： | 6 |
| 3 | Influence of carbon sources on nutrient removal in A2/O-MBRs: Availability assessment of internal carbon source显示文摘Both internal carbon source and some external carbon sources were used to improve the nutrient removal in Anaerobic-Anoxic-Oxic-Membrane Bioreactor(A^2/O-MBRs), and their technical and cost analysis was investigated. The experimental results showed that the nutrient removals were improved by all the carbon source additions. The total nitrogen and phosphorus removal efficiency were higher in the experiments with external carbon source additions than that with internal carbon source addition. It was found that pathways of nitrogen and phosphorus transform were different dependent on different carbon source additions by the mass balance analysis. With external carbon source addition, the simultaneous nitrification and denitrification occurred in aerobic zone, and the P-uptake in aerobic phase was evident. Therefore, with addition of C-MHP(internal carbon source produced from sludge pretreatment by microwave-H_2O_2 process), the denitrification and phosphorus-uptake in anoxic zone was notable. Cost analysis showed that the unit nitrogen removal costs were 57.13 CNY/kgN of C-acetate addition and 54.48 CNY/kgN of C-MHP addition, respectively. The results indicated that the C-MHP has a good technical and economic feasibility to substitute external carbon sources partially for nutrient removal. | Rongle Xu Yaobo Fan Yuansong Wei Yawei Wang Nan Luo Min Yang Xing Yuan Rong Yu | 2016 | Journal of Environmental Sciences2016，28，10： | 6 |
| 4 | Microstructural Evolution and Oxidation Resistance of Multi-walled Carbon Nanotubes in the Presence of Silicon Powder at High Temperatures显示文摘The microstructural evolution and oxidation resistance of multi-walled carbon nanotubes(MWCNTs) by directly heating silicon powder and MWCNTs in a coke bed from 1000 to 1500 ℃ are investigated with the aid of X-ray diffraction(XRD),scanning electron microscopy(SEM),high resolution transmission electron microscopy(HRTEM) and thermogravimetry-differential scanning calorimetry(TG-DSC).The results showed that the morphology and microstructure of MWCNTs did not change much after being treated from 1000 ℃ to 1200 ℃.An obvious SiC coating was formed on the surface of MWCNTs from 1300 to 1400 ℃.Up to 1500 ℃,nearly all the MWCNTs transformed into SiC nanowires.The oxidation resistance of the treated MWCNTs was improved compared with as-received ones.Non-isothermal kinetics showed that the oxidation activation energy of the treated MWCNTs reached 208 kJ/mol,much higher than 164 kJ/mol of as-received ones. | Ming LUO Yawei Li Shengli Jin Shaobai Sang Lei Zhao | 2012 | Journal of Materials Science & Technology2012，28，7： | 5 |
| 5 | Modeling the contribution of the microbial carbon pump to carbon sequestration in the South China Sea显示文摘The two key mechanisms for biologically driven carbon sequestration in oceans are the biological pump(BP) and the microbial carbon pump(MCP); the latter is scarcely simulated and quantified in the China seas. In this study, we developed a coupled physical-ecosystem model with major MCP processes in the South China Sea(SCS). The model estimated a SCSaveraged MCP rate of 1.55 mg C m^(-2) d^(-1), with an MCP-to-BP ratio of 1:6.08 when considering the BP at a depth of 1000 m.Moreover, the ecosystem responses were projected in two representative global warming scenarios where the sea surface temperature increased by 2 and 4°C. The projection suggested a declined productivity associated with the increased near-surface stratification and decreased nutrient supply, which leads to a reduction in diatom biomass and consequently the suppression of the BP. However, the relative ratio of picophytoplankton increased, inducing a higher microbial activity and a nonlinear response of MCP to the increase in temperature. On average, the ratio of MCP-to-BP at a 1000-m depth increased to 1:5.95 with surface warming of 4°C, indicating the higher impact of MCP in future ocean carbon sequestration. | Wenfang LU Yawei LUO Xiaohai YAN Yuwu JIANG | 2018 | Science China Earth Sciences2018，61，11： | 4 |
| 6 | Machine Learning for Lung Cancer Diagnosis,Treatment,and Prognosis显示文摘The recent development of imaging and sequencing technologies enables systematic advances in the clinical study of lung cancer.Meanwhile,the human mind is limited in effectively handling and fully utilizing the accumulation of such enormous amounts of data.Machine learningbased approaches play a critical role in integrating and analyzing these large and complex datasets,which have extensively characterized lung cancer through the use of different perspectives from these accrued data.In this review,we provide an overview of machine learning-based approaches that strengthen the varying aspects of lung cancer diagnosis and therapy,including early detection,auxiliary diagnosis,prognosis prediction,and immunotherapy practice.Moreover,we highlight the challenges and opportunities for future applications of machine learning in lung cancer. | Yawei Li Xin Wu Ping Yang Guoqian Jiang Yuan Luo | 2022 | Genomics, Proteomics & Bioinformatics2022，20，5： | 4 |
| 7 | PC4 serves as a negative regulator of skin wound healing in mice显示文摘Background:Human positive cofactor 4(PC4)was initially characterized as a multifunctional transcriptional cofactor,but its role in skin wound healing is still unclear.The purpose of this study was to explore the role of PC4 in skin wound healing through PC4 knock-in mouse model.Methods:A PC4 knock-in mouse model(PC4^(+/+))with a dorsal full-thickness wound was used to investigate the biological functions of PC4 in skin wound healing.Quantitative PCR,Western blot analysis and immunohistochemistry were performed to evaluate the expression of PC4;Sirius red staining and immunofluorescence were performed to explore the change of collagen deposition and angiogenesis.Proliferation and apoptosis were detected using Ki67 staining and TUNEL assay.Primary dermal fibroblasts were isolated from mouse skin to perform cell scratch experiments,cck-8 assay and colony formation assay.Results:The PC4^(+/+)mice were fertile and did not display overt abnormalities but showed an obvious delay in cutaneous healing of dorsal skin.Histological staining showed insufficient re-epithelialization,decreased angiogenesis and collagen deposition,increased apoptosis and decreased cell proliferation in PC4^(+/+)skin.Our data also showed decreased migration rate and proliferation ability in cultured primary fibroblasts from PC4^(+/+)mice in vitro.Conclusions:This study suggests that PC4 might serve as a negative regulator of skin wound healing in mice. | Fengying Liao Long Chen Peng Luo Zhongyong Jiang Zelin Chen Ziwen Wang Chi Zhang Yu Wang JintaoHe Qing Wang Yawei Wang Lang Liu Yu Huang Huilan Wang Qingzhi Jiang Min Luo YiboGan Yunsheng Liu Yang Wang Jie Wu Wentao Xie Zhuo Cheng Yali Dai Jialun Li Zujuan Liu Fan Yang Chunmeng Shi | 2020 | Burns & Trauma2020，8，1： | 1 |
| 8 | Risk factors of peripheral arterial disease and relationship between low ankle-brachial index and mortality from all-cause and cardiovascular disease in chinese patients with type 2 diabetes显示文摘 | Jue Li Yingyi Luo Yawei Xu | 2007 | Circulation Journal2007，71，： | 1 |
| 9 | Strengthening mechanism of graphene oxide nanosheets for Al 2 O 3 –C refractories显示文摘 | Qinghu Wang Yawei Li Ming Luo Shaobai Sang Tianbin Zhu Lei Zhao | 2013 | Ceramics International2013，，： | 1 |
| 10 | Microstructure and mechanical properties of multi-walled carbon nanotubes containing Al 2 O 3 –C refractories with addition of polycarbosilane显示文摘 | Ming Luo Yawei Li Shengli Jin Shaobai Sang Lei Zhao Qinghu Wang Yuanbing Li | 2012 | Ceramics International2012，，： | 1 |
| 11 | MicroRNA‐191, by promoting the EMT and increasing CSC‐like properties, is involved in neoplastic and metastatic properties of transformed human bronchial epithelial cells显示文摘 | Wenchao Xu Jie Ji Yuan Xu Yawei Liu Le Shi Yi Liu Xiaolin Lu Yue Zhao Fei Luo Bairu Wang Rongrong Jiang Jianping Zhang Qizhan Liu | 2015 | Carcinog2015，，1： | 1 |
| 12 | Self-powered ammonia synthesis under ambient conditions via N_(2) discharge driven by Tesla turbine triboelectric nanogenerators显示文摘Ammonia synthesis using low-power consumption and eco-friendly methods has attracted increasing attention.Here,based on the Tesla turbine triboelectric nanogenerator(TENG),we designed a simple and effective self-powered ammonia synthesis system by N_(2) discharge.Under the driving of the simulated waste gas,the Tesla turbine TENG showed high rotation speed and high output.In addition,the performance of two Tesla turbine TENGs with different gas path connections was systematically investigated and discussed.A controllable series-parallel connection with the control of gas supply time was also proposed.Taking advantage of the intrinsic high voltage,corona discharge in a N_(2) atmosphere was simply realized by a Tesla turbine TENG.With the flow of N_(2),the generated high-energy plasma can immediately react with water molecules to directly produce ammonia.The self-powered system achieved a yield of 2.14μg h^(−1)(0.126μmol h^(−1))under ambient conditions,showing great potential for large-scale synthesis. | Kai Han Jianjun Luo Jian Chen Baodong Chen Liang Xu Yawei Feng Wei Tang Zhong Lin Wang | 2021 | Microsystems & Nanoengineering2021，7，1： | 1 |
| 13 | In situ formation of carbon nanotubes and ceramic whiskers in Al2O3-C refractories with addition of Ni-catalyzed phenolic resin显示文摘 | Luo Ming Li Yawei Shaobai Sang | 2012 | Mater Sci Eng A2012，558，： | 1 |
| 14 | Strengthening mechanism of graphene oxide nanosheets for Al 2 O 3 –C refractories显示文摘 | Qinghu Wang Yawei Li Ming Luo Shaobai Sang Tianbin Zhu Lei Zhao | 2013 | Ceramics International2013，，： | 1 |
| 15 | Microstructure and mechanical properties of MgOC refractories containing graphite oxide nanosheets (GONs)显示文摘 | Tianbin Zhu Yawei Li Ming Luo Shaobai Sang Qinghu Wang Lei Zhao Yuanbing Li Shujing Li | 2012 | Ceramics International2012，，： | 1 |
| 16 | Microstructures and mechanical properties of Al 2 O 3 -C refractories with addition of multi-walled carbon nanotubes显示文摘 | Ming Luo Yawei Li Shengli Jin Shaobai Sang Lei Zhao Yuanbing Li | 2012 | Materials Science & Engineering A2012，，： | 1 |
| 17 | In situ formation ofcarbon nanotubes and ceramic whiskers in A1203-C refractorieswith addition of Ni-catalyzed phenolic resin 显示文摘 | Luo Ming Li Yawei Shaobai Sang | 2012 | Materials Sci-ence &Engineering A2012，558，： | 1 |
| 18 | Comparison of three data mining methods in predicting 5-year survival of colorectal cancer patients显示文摘The prediction of colorectal cancer(CRC) survivability has always been a challenging research issue. Considering the importance of predicting CRC patients' survival rates, we compared the performance of three data mining methods: decision trees(DTs), artificial neural networks(ANNs) and support vector machines(SVMs), for predicting 5-year survival of CRC patients to assist clinicians in making treatment decisions. The CRC dataset used to build the prediction model comes from the surveillance, epidemiology, and end results(SEER) program. The 5-fold cross-validation and random forest algorithm were respectively utilized for measuring the model predictive accuracy and the importance of features. Experimental results show that the predictive accuracy of ANNs(0.73) and SVMs(0.75) were higher than that of DTs, and they also have the best result in the area under the receiver operating characteristic(ROC) curve(area under curve(AUC)=0.82). This result may indicate high predictive power of ANNs and SVMs for predicting 5-year survival of CRC patients. | Luo Yan Sun Yawei Fu Qunchao Xue Tengfei Zhou Ping | 2018 | The Journal of China Universities of Posts and Telecommunications2018，25，6： | 0 |
| 19 | Boosting for Distributed Online Convex Optimization显示文摘Decentralized Online Learning(DOL)extends online learning to the domain of distributed networks.However,limitations of local data in decentralized settings lead to a decrease in the accuracy of decisions or models compared to centralized methods.Considering the increasing requirement to achieve a high-precision model or decision with distributed data resources in a network,applying ensemble methods is attempted to achieve a superior model or decision with only transferring gradients or models.A new boosting method,namely Boosting for Distributed Online Convex Optimization(BD-OCO),is designed to realize the application of boosting in distributed scenarios.BD-OCO achieves the regret upper bound O(M+N/MNT)where M measures the size of the distributed network and N is the number of Weak Learners(WLs)in each node.The core idea of BD-OCO is to apply the local model to train a strong global one.BD-OCO is evaluated on the basis of eight different real-world datasets.Numerical results show that BD-OCO achieves excellent performance in accuracy and convergence,and is robust to the size of the distributed network. | Yuhan Hu Yawei Zhao Lailong Luo Deke Guo | 2023 | Tsinghua Science and Technology2023，28，4： | 0 |
| 20 | Hyperbenzones A and B,two 1,2-seco and rearranged polycyclic polyprenylated acylphloroglucinols from Hypericum beanii显示文摘Two novel seco-polycyclic polyprenylated acylphloroglucinols(PPAPs),hyperbenzones A(1)and B(2),were isolated from the roots of Hypericum beanii,together with one known biosynthetic congener 3.Compound 1 incorporates a 6/5/5 ring system with an unprecedented spiro[bicyclo[3.3.0]octane-3,1'-cyclohexane]-2,2'-dione motif.The structures of 1 and 2 were determined by a combination of high resolution electrospray ionization mass spectroscopy(HRESIMS),nuclear magnetic resonance(NMR)spectroscopic analyses,gage-independent atomic orbital(GIAO)NMR chemical shift calculation with DP4+analyses,electronic circular dichroism(ECD)calculation,and X-ray diffraction analysis.A 1,2-seco retroClaisen rearrangement from a bicyclo[3.3.1]nonane PPAP precursor and following chemodivergent radical cascade cyclizations are proposed as the key steps in the biosynthetic pathway to yield compounds 1 and2.Biological investigations indicated that compounds 1 and 3 could decrease intracellular lipid accumulation in a palmitic acid-induced nonalcoholic steatohepatitis(NASH)cell model. | Weijia Lu Yanqiu Zhang Yawei Li Shengtao Ye Jun Luo Lingyi Kong Wenjun Xu | 2022 | Chinese Chemical Letters2022，33，8： | 0 |
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