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The numerical simulation of a new double swirl static mixer for gas reactants mixing

Chinese Journal of Chemical Engineering 2020年第9期28卷 2438-2446页

作者： zhuokai zhuang Jingtian Yan Chenglang Sun Haiqiang Wang Yuejun Wang Zhongbiao Wu Key Laboratory of Environment Remediation and Ecological Health Ministry of EducationCollege of Environmental&Resources ScienceZhejiang UniversityHangzhou310058China Zhejiang Provincial Engineering Research Centre of Industrial Boiler&Furnace Flue Gas Pollution Control Hangzhou 310058China College of Control Science and Engineering Zhejiang UniversityHangzhou 310027China Zhejiang Tianlan Environmental Protection Technology Co.Ltd Hangzhou 311202China

For the nitrogen oxide removal processes,high performance gas mixer is deeply needed for the injection of NH3 or *** this study,a new type of double swirl static mixer in gas mixing was investigated using computational fluid dynamics(CFD).The results obtained using Particle Image Velocimetry(PIV)correlated well with the results obtained from *** comparisons in pressure loss between the experimental results and the simulation results showed that the model was suitable and accurate for the simulation of the static *** process conditions and design were *** L/D equaled 4,coefficient of variation(COV)was<5%.The inlet velocity did not affect the distributions of turbulent kinetic *** terms of both COV and pressure loss,the inner connector is important in the design of the static *** nozzle length should be set at 4 *** both COV and pressure loss into consideration,the optimal oblique degree is *** averaged kinetic energy changed according to process conditions and *** new static mixer resulted in improved mixing performance in a more compact *** new static mixer is more energy efficient compared with other SV static ***,the double swirl static mixer is promising in gas mixing.

关键词： CFD PIV Gas mixing Double swirl static mixer Pressure loss

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Numerical evaluation of the effectiveness of NO_2 and N_2O_5 generation during the NO ozonation process

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Journal of Environmental Sciences 2016年第3期28卷 51-58页

作者： Haiqiang Wang zhuokai zhuang Chenglang Sun Nan Zhao Yue Liu Zhongbiao Wu Department of Environment Engineering Zhejiang University Zhejiang Provincial Engineering Research Center of Industrial Boiler Furnace Flue Gas Pollution Control

Wet scrubbing combined with ozone oxidation has become a promising technology for simultaneous removal of SO_2 and NO_x in exhaust *** this paper,a new 20-species,76-step detailed kinetic mechanism was proposed between O_3 and NO_*** concentration of N_2O_5 was measured using an in-situ IR *** numerical evaluation results kept good pace with both the public experiment results and our experiment *** reaction parameters for the generation of NO_2 and N_2O_5 during the NO ozonation process were investigated by a numerical simulation *** effect of temperature on producing NO_2 was found to be *** produce NO_2,the optimal residence time was1.25 sec and the molar ratio of O_3/NO about *** the generation of N_2O_5,the residence time should be about 8 sec while the temperature of the exhaust gas should be strictly controlled and the molar ratio of O_3/NO about *** study provided detailed investigations on the reaction parameters of ozonation of NO_x by a numerical simulation method,and the results obtained should be helpful for the design and optimization of ozone oxidation combined with the wet flue gas desulfurization methods（WFGD） method for the removal of NO_x.

关键词： Numerical simulation O_3 NO N_2O_5 In-situ IR spectra

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Effect and mechanism of pexidartinib combined with chemotherapy in the treatment of KRAS and BRAF mutant MSS colorectal cancer

Effect and mechanism of pexidartinib combined with chemother...

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2021年中国肿瘤标志物学术大会暨第十五届肿瘤标志物青年科学家论坛

作者： Mingxuan Zhu Liangliang Bai Shaoyong Peng Dingcheng Shen Yumo Xie zhuokai zhuang Huichuan Yu Yanxin Luo Yingjie Li The Sixth Affiliated Hospital of Sun Yat-sen University

Introduction:Colorectal cancer(CRC) is one of the most common malignant tumors, and its incidence rate is third of all malignant tumors. The number of deaths due to CRC has risen to the second *** is one of the standard treatment schemes for metastatic colorectal cancer(mCRC). The commonly used chemotherapy schemes are dual or triple drug schemes based on 5-fluorouracil(5-FU),oxaliplatin or irinotecan, but the toxicity is very difficult to tolerate, and the overall survival time of chemotherapy is difficult to prolong. Monoclonal antibodies targeting EGFR have low toxic and side effects, but are only used to treat KRAS and BRAF wild-type CRC, and the long-term use of cetuximab will accumulate rare drug-resistant subclones that cannot be detected at first. PD1/PD-L1 immunotherapy brings the hope of complete tumor remission to many patients, but only MCRC with defective mismatch repair(dMMR) and microsatellite instability-high(MSI) respond to it. Only a few patients(about 5%) responded to the epidemic treatment, while the proportion of microsatellite stability(MSS) and positive mismatch repair(pMMR) reached 95%. Generally, tumors with abundant T cell infiltration are often called "hot tumors", which respond well to immunotherapy regulating T cell function(such as PD-1/PD-L1 antibody);On the contrary, tumors with less T cell infiltration and more myeloid cell infiltration such as macrophages are "cold tumors", which are resistant to PD-1/PD-L1 antibody therapy. KRAS/BRAF mutant MSS subtype MCRC, which accounts for about 30-50% of the total mC RC, is a typical "cold tumor", which is the most difficult to treat and has the worst *** dense matrix of CRC solid tumors is rich in activated fibroblasts and tumor-associated macrophages(TAMs) which can be divided into M1 and M2. The main role of M1 TAM is to drive the response of type 1 T helper cells(Th1), which has cytotoxic activity to tumor cells;On the contrary, M2 TAM can not only participate in a

关键词： pexidartinib tumor-associated macrophages(TAMs) KRAS/BRAF mutant MSS CRC

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Radiomic models trained with machine learning approach in FOWARC trial for accurate prediction of pathological response and survival after rectal cancer treatment

Radiomic models trained with machine learning approach in FO...

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2021年中国肿瘤标志物学术大会暨第十五届肿瘤标志物青年科学家论坛

作者： zhuokai zhuang Jinxin Lin Yumo Xie Ziying Huang Puning Wang Dingcheng Shen Mingxuan Zhu Gaopo Xu Xiaolin Wang Meijin Huang Yanxin Luo Huichuan Yu The Sixth Afliated Hospital of Sun Yat-sen University 中山大学中山医学院

Purpose: We aimed to develop radiomic models based on pre-treatment computed tomography(CT) to predict the pathological complete response(pCR) after neoadjuvant treatment and long-term prognosis in rectal *** and Methods: Data collection and radiomic features extraction: This was a secondary analysis of the FOWARC randomized controlled trial. Radiomic features were extracted from pretreatment portal venous-phase contrast-enhanced CT images of 177 patients with rectal *** were divided into two different response groups: pCR group(TRG 0, no viable residual tumor cells) and non-pCR group(TRG 1–4, varying from rare residual cancer cells to extensive residual cancer cells). The region of interest(ROI) covering the whole tumor was manually outlined along the margin of tumors and a total of 1218 radiomic features were preprocessed and *** of pC R prediction model: We applied multi-step pipeline including correlation matrix and the least absolute shrinkage and selection operator(LASSO) method to eliminate the potential redundance and identify the pCR-associated radiomic features. Finally, the radiomic signature, termed as Rad-pCR, of each patient was constructed. Three models were applied to integrate Rad-pCR with clinicopathological predictors, including logistic regression, support vector machine(SVM) and gradient boosting machine(GBM). The performance of different models were compared by receiver operator characteristic(ROC) curve analysis. Development of prognosis prediction model: A univariate screen by Cox proportional hazard model for each radiomic feature was performed and features with P < 0.1 were included in the LASSO Cox model to examine their independently predictive value for overall survival(OS). The radiomic risk signatures(termed as Rad-OS) were then generated based on the selected features. According to the optimum cutoff point determined by maximally selected rank statistics, the cohort was divided into high and l

关键词： Radiomics Computed tomography Machine learning Rectal cancer

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Transcriptomic N6-methyladenosine methylation loss in genes related to cell differentiation conferred by ALKBH5misregulation is a hallmark of colorectal malignancy

Transcriptomic N6-methyladenosine methylation loss in genes ...

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2021年中国肿瘤标志物学术大会暨第十五届肿瘤标志物青年科学家论坛

作者： Dingcheng Shen Xiaolin Wang Gaopo Xu Heng Wang Yaoyi Huang jinxin Lin Yumo Xie Ziying Huang zhuokai zhuang Puning Wang Meijin Huang Yanxin Luo Huichuan Yu The Sixth Affiliated Hospital Sun Yat-sen University 中山大学中山医学院

Background: N6-methyladenosine(m6 A) modification is an emerging epigenetic regulatory mechanism in tumorigenesis. Considering that AlkB homolog 5(ALKBH5) is a well-described m6 A demethylase in previous enzyme assays, we aimed to investigate the role of m6 A methylation alteration conferred by disturbed ALKBH5 in colorectal cancer(CRC) ***: Expression of ALKBH5 and its correlation with clinicopathological characteristics of CRC were evaluated using the prospectively maintained institutional database program of colorectal disease(IDPCD). The biological functions and underlying mechanisms of ALKBH5 were explored using in vitro and in vivo experiments. Moreover, methylated RNA immunoprecipitation(MeRIP), RNA-seq and m6 A dot blot assay were applied to identify the target genes that were regulated by ALKBH5-induced m6 A methylation ***: ALKBH5 expression was significantly upregulated in CRC tissues compared to their adjacent normal tissues. Highly expressed ALKBH5 was found to be independently associated with worse overall survival(adjusted HR 1.63, 95% CI: 1.09-2.43;P = 0.017) after corrected by multiple clinicopathological risk factors. Next, we verified that ALKBH5 could promote CRC cells proliferation, migration and invasion in in-vitro assays, whereas its knockdown produced the opposite effects. Then, we determined the global m6 A level of RNA in the scramble and ALKBH5-knockdown group through m6 A dot blot assay. As expected, m6 A levels were obviously increased after ALKBH5 was silenced in CRC cells. The integrating analysis of MeRIP-seq and RNA-seq for ALKBH5-silenced cells found a group of ALKBH5-target genes that were potentially regulated by RNA m6 A modification. Gene Set Enrichment Analysis(GSEA) and Gene ontology(GO) analysis revealed that ALKBH5-target genes were mostly involved in cell differentiation(including ITGAX, TACSTD2,DPEP1, PTP4 A1 and IFIT2).Conclusions: The m6 A methylation loss in cell differentiation-related gene

关键词： ALKBH5 Colorectal cancer m6A modification Hallmark

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Pan-cancer Analyses Reveal an Universal Gene Signature Associated with the Response to Immune Checkpoint Inhibitors

Pan-cancer Analyses Reveal an Universal Gene Signature Assoc...

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2021年中国肿瘤标志物学术大会暨第十五届肿瘤标志物青年科学家论坛

作者： Yumo Xie Zenghong Huang Rongzhao He Binbin Liu Heng Wang Ziying Huang Xiaolin Wang zhuokai zhuang Puning Wang Mingxuan Zhu Jinxin Lin Dingcheng Shen Gaopo Xu Meijin Huang Yanxin Luo Huichuan Yu Sixth Affiliated Hospital of Sun Yat-sen University Zhongshan School of Medicine of Sun Yat-sen University

Background: By exerting anti-tumor effects through augmenting adaptive immunity, immune checkpoint inhibitors(ICIs) have achieved remarkable survival improvement in multiple cancers. However, 60%-70% of patients showed primary resistance to anti-PD-1/PD-L1 agents, and the detailed underlying mechanisms remained to be elucidated. Many studies have tried to distinguish the potential responders from the vast majority of non-responders with promising biomarkers in each individual cancer type,but a universal marker panel for ICIs response prediction is still lack in the clinical setting of pancancer ***: The clinical and transcriptomic data are collected from 15 randomized controlled trials(RCT)studying ICIs in solid tumors(melanoma, urothelial cancer, non-small cell lung cancer, renal cell cancer, breast cancer, and esophageal cancer). A modified Z-score was used to standardize the expression data. Patients were randomly allocated to the training and validation cohort. The differential expression genes between ICIs responders and non-responders were identified as responserelated genes(RRGs). Gene Set Enrichment Analysis(GSEA) and Gene Ontology(GO) analyses were performed. The identified RRGs were used to fit a LASSO regression model with the generated immune response score(IRS). The performance of the model was evaluated by receiver operator characteristic(ROC) curve ***: 1286 patients were included, among which 426 were responders and 860 were non-responders.900 and 386 patients were allocated to the training and validation cohort, respectively. Fifty genes with FDR < 0.05 were identified as RRGs by differential expression analyses in the training *** known immune response markers, such as CD8 A, CD8 B, FOXP3, NKG7, and CXCL9, were among the top-rank genes in the RRGs. In addition, the well-known immune exhaustion markers, such as PDCD1, IDO1, CTLA4, TIGIT, LAG3, and CD244, were top-ranked in the RRGs. In the GO analysis, the RRGs were

关键词： Cancer Immune therapy Biomarkers

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35 t/h燃煤锅炉烟气喷淋降温的数值模拟

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环境科学与技术 2019年第S2期42卷 152-157页

作者：庄卓楷严竞天孙承朗王海强王岳军浙江大学环境技术研究所浙江省工业锅炉炉窑烟气污染控制工程技术研究中心浙江大学控制工程与科学学院浙江杭州310058

喷淋降温是控制燃煤锅炉烟气温度的有效工艺,该研究针对某热电厂的35 t/h燃煤锅炉进行了喷淋降温的建模和模拟计算。首先针对2种自主产权的喷枪、喷枪的分布方式和喷枪的分布位置进行比较研究,研究发现单孔喷枪在Z=3 m处进行分散式分布... 详细信息

喷淋降温是控制燃煤锅炉烟气温度的有效工艺,该研究针对某热电厂的35 t/h燃煤锅炉进行了喷淋降温的建模和模拟计算。首先针对2种自主产权的喷枪、喷枪的分布方式和喷枪的分布位置进行比较研究,研究发现单孔喷枪在Z=3 m处进行分散式分布最为合理。在确定喷淋降温基本参数的基础上,考察了喷淋液滴直径、喷枪用水温度、喷枪水流量对喷淋降温的影响。研究发现喷枪用水温度对喷淋降温影响不大,但喷淋液滴直径和喷枪水流量对喷淋降温则有较大影响。当液滴直径从0.08 mm增加到0.42 mm,进出口烟气的温差从35.55℃下降到20.44℃。当喷枪流量从0.02 kg/s增加到0.07 kg/s,进出口烟气的温差从12.55℃上升到37.82℃。

关键词： CFD 喷淋降温烟枪类型分布方式运行条件

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