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Computational Fluid Dynamics Approach for Predicting Pipeline response to Various Blast Scenarios: A Numerical Modeling Study

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2747-2777页

作者： Farman Saifi Mohd Javaid Abid Haleem S.M.Anas Department of Mechanical Engineering Jamia Millia Islamia(A Central University)New Delhi110025India Department of Civil Engineering Jamia Millia Islamia(A Central University)New Delhi110025India

Recent industrial explosions globally have intensified the focus in mechanical engineering on designing infras-tructure systems and networks capable of withstanding blast *** centered on high-profile facilities such as embassies and petrochemical plants,this concern now extends to a wider array of infrastructures and *** and scholars increasingly prioritize structural safety against explosions,particularly to prevent disproportionate collapse and damage to nearby *** has further amplified the reliance on oil and gas pipelines,making them vital for urban life and prime targets for terrorist ***,there is a growing imperative for computational engineering solutions to tackle blast loading on pipelines and mitigate associated risks to avert *** this study,an empty pipe model was successfully validated under contact blast conditions using Abaqus software,a powerful tool in mechanical engineering for simulating blast effects on buried *** a Eulerian-Lagrangian computational fluid dynamics approach,the investigation extended to above-surface and below-surface blasts at standoff distances of 25 and 50 *** descriptions in the numerical model relied on Abaqus’default mechanical *** analysis revealed varying pipe performance,with deformation decreasing as explosion-to-pipe distance *** explosion’s location relative to the pipe surface notably influenced deformation levels,a key finding highlighted in the ***,quantitative findings indicated varying ratios of plastic dissipation energy(PDE)for different blast scenarios compared to the contact blast(P0).Specifically,P1(25 mm subsurface blast)and P2(50 mm subsurface blast)showed approximately 24.07%and 14.77%of P0’s PDE,respectively,while P3(25 mm above-surface blast)and P4(50 mm above-surface blast)exhibited lower PDE values,accounting for about 18.08%and 9.67%of P0’s PDE,***

关键词： Blast loading computational fluid dynamics computer modeling pipe networks response prediction structural safety

prediction of response to Multimodality Treatment inEsophageal Cancer

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The Chinese-German Journal of Clinical Oncology 2004年第4期3卷 253-256页

作者： RalfMetzger HuanXi FutoshiMiyazono HiroshiHigashi UteWarnecke-Eberz StephanE.Baldus JanBrabender PaulM.Schneider DepartmentofVisceral-andVascularSurgery UniversityofCologneCologneGermany DepartmentofGeneralSurgery BeijingHospitalBeijingChina FirstDepartmentofSurgery UniversityofKagoshimaSchoolofMedicineKagoshimaJapan InstituteofPathology UniversityofCologneCologneGermany

Patients with locally advanced esophageal cancer have a dismal prognosis when treated exclu- sively by surgery. This fact prompted many investigators to apply neoadjuvant treatment strategies in an e?ort to improve survival. Results from phase III randomized trials are encouraging however, they revealed 五笔字型计算机汉字输入技术 that only patients with major histopathological response will bene?t from treatment. Therefore, predic- tive molecular markers indicating response or non-response to neoadjuvant treatment would be extremely helpful in selecting patients for current and future treatment protocols. In this paper we review the role of the molecular markers ERCC1 (excision repair cross-complementing 1 gene) and c-erbB-2 (synonym: HER2/neu) in predicting response to radiochemotherapy and outcome for patients with locally advanced resectable esophageal cancers (cT2-4, Nx, M0). The results are promising and it appears that we might expect to unequivocally identify with ERCC1 and c-erbB-2 respectively, approximately up to one third of patients who ful?l the criteria for neoadjuvant treatment for locally advanced esophageal cancer but will not bene?t from our treatment protocol. Integration of such markers in the clinical setting might prevent a substantial number of patients from expensive, non-e?ective and potentially harmful therapies, and could lead to a more individualized type of combined multimodality treatment in the near future.

关键词： esophageal cancer response prediction multimodality therapy neoadjuvant radiochemotherapy ERCC1 c-erbB-2

Output prediction of Helical Microfiber Temperature Sensors in Cycling Measurement by Deep Learning

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Photonic Sensors 2023年第3期13卷 37-49页

作者： Minghui CHEN Jinjin HAN Juan LIU Fangzhu ZHENG Shihang GENG Shimeng TANG Zhijun WU Jixiong PU Xining ZHANG Hao DAI Fujian Key Laboratory of Light Propagation and Transformation College of Information Science and EngineeringHuaqiao UniversityXiamen 361021China Institute of Ocean Exploration Technology College of Ocean and Earth SciencesXiamen UniversityXiamen 361005China

The inconsistent response curve of delicate micro/nanofiber(MNF)sensors during cycling measurement is one of the main factors which greatly limit their practical *** this paper,we proposed a temperature sensor based on the copper rod-supported helical microfiber(HMF).The HMF sensors exhibited different light intensity-temperature response relationships in single-cycle *** neural networks,the deep belief network(DBN)and the backpropagation neural network(BPNN),were employed respectively to predict the temperature of the HMF sensor in different sensing *** input variables of the network were the sensor geometric parameters(the microfiber diameter,wrapped length,coiled turns,and helical angle)and the output optical intensity under different working *** root mean square error(RMSE)and Pearson correlation coefficient(R)were used to evaluate the predictive ability of the *** DBN with two restricted Boltzmann machines(RBMs)provided the best temperature prediction results(RMSE and R of the heating process are 0.9705℃and 0.9969,while the values of RMSE and R of the cooling process are 0.7866℃and 0.9977,respectively).The prediction results obtained by the optimal BPNN(five hidden layers,10 neurons in each layer,RMSE=1.1266℃,R=0.9957)were slightly inferior to those obtained by the *** neural network could accurately and reliably predict the response of the HMF sensor in cycling operation,which provided the possibility for the flexible application of the complex MNF sensor in a wide sensing range.

关键词： Helical microfiber temperature sensors deep belief network backpropagation neural network response prediction cycling measurement

Peripheral CD4^(+) T cell signatures in predicting the responses to anti-PD-1/PD-L1 monotherapy for Chinese advanced non-small cell lung cancer

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Science China(Life Sciences) 2021年第10期64卷 1590-1601页

作者： Liliang Xia Hui Wang Mingjiao Sun Yi Yang Chengcheng Yao Sheng He Huangqi Duan Weimin Xia Ruiming Sun Yaxian Yao Zhiwei Chen Qiong Zhao Hong Li Shun Lu Ying Wang Department of Shanghai Lung Cancer Center Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghai 200030China Shanghai Institute of Immunology Department of Immunology and MicrobiologyShanghai Jiao Tong University School of MedicineShanghai 200025China Institute of Cancer Hangzhou Cancer HospitalHangzhou 310002China Bio-Med Big Data Center CAS Key Laboratory of Computational BiologyCAS-MPG Partner Institute for Computational BiologyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai 200031China Department of thoracic Oncology Shulan(Hangzhou)Hospital Affiliated to Zhejiang Shuren University Shulan International Medical CollegeHangzhou 310000China

Limited benefit population of immune checkpoint inhibitors makes it urgent to screen predictive biomarkers for stratifying the ***,we have investigated peripheral CD4^(+) T cell signatures in advanced non-small cell lung cancer(NSCLC)patients receiving anti-PD-1/PD-L1 *** was found that the percentages of IFN-γand IL-17A secreting naïve CD4^(+) T cells(Tn),and memory CD4^(+) T cells(Tm)expressing PD-1,PD-L1 and CTLA-4 were significantly higher in responder(R)than non-responder(NonR)NSCLC patients associated with a longer progression free survival(PFS).Logistic regression analysis revealed that the baseline IFN-γ-producing CD4^(+) Tn cells and PD-1^(+)CD4^(+) Tm cells were the most significant signatures with the area under curve(AUC)value reaching *** was further validated in another anti-PD-1 monotherapy ***,high percentage of CTLA-4^(+)CD4^(+) Tm cells was associated with a shorter PFS in patients receiving anti-PD-L1 *** study therefore elucidates the significance of functional CD4^(+) Tn and Tm subpopulations before the treatment in predicting the responses to anti-PD-1 treatment in Chinese NSCLC *** fact that there display distinct CD4^(+) T cell signatures in the prediction to anti-PD-1 and anti-PD-L1 monotherapy from our study provides preliminary evidence on the feasibility of anti-PD-1 and anti-PD-L1 combination therapy for advanced NSCLC patients.

关键词： advanced NSCLC immune checkpoint inhibitors immunotherapy baseline CD4^(+)T cell signatures response prediction

Neoadjuvant treatment for advanced esophageal cancer: response assessment before surgery and how to predict response to chemoradiation before starting treatment

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Chinese Journal of Cancer Research 2015年第3期27卷 221-230页

作者： Elfriede Bollschweiler Arnulf H.Hlscher Matthias Schmidt Ute Warnecke-Eberz Department of General Visceral and Cancer SurgeryUniversity of Cologne Institute of Nuclear Medicine University of Cologne

Patients with advanced esophageal cancer（T3-4, N） have a poor prognosis. Chemoradiation or chemotherapy before esophagectomy with adequate lymphadenectomy is the standard treatment for patients with resectable advanced esophageal carcinoma. However, only patients with major histopathologic response（regression to less than 10% of the primary tumor） after preoperative treatment will have a prognostic benefit of preoperative chemoradiation. Using current therapy regimens about 40% to 50% of the patients show major histopathological response. The remaining cohort does not benefit from this neoadjuvant approach but might benefit from earlier surgical resection. Therefore, it is an aim to develop tools for response prediction before starting the treatment and for early response assessment identifying responders. The current review discusses the different imaging techniques and the most recent studies about molecular markers for early response prediction. The results show that [^18F]-fluorodeoxyglucose-positron emission tomography（FDGPET） has a good sensitivity but the specificity is not robust enough for routine clinical use. Newer positron emission tomography detector technology, the combination of FDG-PET with computed tomography, additional evaluation criteria and standardization of evaluation may improve the predictive value. There exist a great number of retrospective studies using molecular markers for prediction of response. Until now the clinical use is missing. But the results of first prospective studies are promising. A future perspective may be the combination of imaging technics and special molecular markers for individualized therapy. Another aspect is the response assessment after finishing neoadjuvant treatment protocol. The different clinical methods are discussed. The results show that until now no non-invasive method is valid enough to assess complete histopathological response.

关键词： Esophageal cancer squamous cell carcinoma adenocarcinoma neoadjuvant chemoradiation response prediction response assessment

Neoadjuvant chemoradiation changes podoplanin expression in esophageal cancer patients

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World Journal of Gastroenterology 2020年第23期26卷 3236-3248页

作者： Ute Warnecke-Eberz Patrick Plum Viola Schweinsberg Uta Drebber Christiane J Bruns Dolores T Müller Arnulf H Holscher Elfriede Bollschweiler Department of General Visceral and Cancer SurgeryUniversity Hospital of CologneCologne 50937Germany Department of Dermatology University Hospital of CologneCologne 50937Germany Institute of Pathology University Hospital of CologneCologne 50937Germany Agaplesion Markus Hospital Frankfurt 60431Germany

BACKGROUND Locally advanced adenocarcinoma of the esophagus(EAC) and squamous cell carcinoma(ESCC) result in a worse prognosis. Neoadjuvant treatment improves survival, however, only for responders. The transmembrane glycoprotein podoplanin is overexpressed in squamous cell carcinomas, mi RNA-363 is associated to its regulation in head and neck *** To predict therapy response and prognosis markers, and targets for novel therapies would individualize treatments leading to more favourable *** Expression of podoplanin protein has been visualized by immunohistochemistry in surgical specimens of 195 esophageal cancer patients who underwent transthoracic esophagectomy: 90 ESCC and 105 EAC with clinical T2-3, Nx, *** hundred and six patients received neoadjuvant chemoradiation. RNA was extracted from paraffin-embedded tissue, and mi RNA-363 quantified by realtime Taq Man-real-time-PCR. D2-40 mab staining of > 5% was scored as high podoplanin expression(HPE). We related podoplanin and mi RNA-363 expression to histopathologic response after neoadjuvant treatment and clinicopathological characteristics, such as histological tumor type, survival rate or clinical tumor *** confirmed expression of membrane-bound podoplanin in 90 ESCC patients.26% showed HPE of > 5%. In addition, absence in EAC patients(only 2% with HPE) was shown. Lower podoplanin expression has been detected in resectionspecimen of 58 ESCC patients after neoadjuvant(RTx/CTx) treatment, only 11% with HPE, compared to 50% HPE of 32 non-pretreated primary surgery patients,P = 0.0001. This difference of podoplanin expression was confirmed comparing pre-treatment biopsies with matching post-treatment surgical specimens, P <0.001. Podoplanin has been identified as a prognostic marker in 32 patients that underwent primary surgery without neoadjuvant treatment. Low(0-5%)podoplanin expression was associated with better prognosis compared to patients with HPE, P = 0.013. Podoplanin e

关键词： Esophageal cancer response prediction Prognosis D2-40 Posttranscriptional regulation miRNA-363