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Probabilistic seismic inversion based on physics-guided deep mixture density network

Petroleum Science 2024年第3期21卷 1611-1631页

作者： qian-hao Sun Zhao-Yun Zong Xin Li National Key Laboratory of Deep Oil and Gas China University of Petroleum(East China)Qingdao266580ShandongChina Laoshan Laboratory Qingdao266580ShandongChina CNOOC Research Institute Ltd. Beijing100028China

Deterministic inversion based on deep learning has been widely utilized in model parameters *** by logging data,seismic data,wavelet and modeling operator,deterministic inversion based on deep learning can establish nonlinear relationships between seismic data and model ***,seismic data lacks low-frequency and contains noise,which increases the non-uniqueness of the *** conventional inversion method based on deep learning can only establish the deterministic relationship between seismic data and parameters,and cannot quantify the uncertainty of *** order to quickly quantify the uncertainty,a physics-guided deep mixture density network(PG-DMDN)is established by combining the mixture density network(MDN)with the deep neural network(DNN).Compared with Bayesian neural network(BNN)and network dropout,PG-DMDN has lower computing cost and shorter training time.A low-frequency model is introduced in the training process of the network to help the network learn the nonlinear relationship between narrowband seismic data and low-frequency *** addition,the block constraints are added to the PG-DMDN framework to improve the horizontal continuity of the inversion *** illustrate the benefits of proposed method,the PG-DMDN is compared with existing semi-supervised inversion *** synthetic data examples of Marmousi II model are utilized to quantify the influence of forward modeling part,low-frequency model,noise and the pseudo-wells number on inversion results,and prove the feasibility and stability of the proposed *** addition,the robustness and generality of the proposed method are verified by the field seismic data.

关键词： Deep learning Probabilistic inversion Physics-guided Deep mixture density network

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Light-Activated Virtual Sensor Array with Machine Learning for Non-Invasive Diagnosis of Coronary Heart Disease

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NANO-MICRO LETTERS 2024年第1期16卷 1-22页

作者： Hu, Jiawang qian, hao Han, Sanyang Zhang, Ping Lu, Yuan Tsinghua Univ Dept Chem Engn Beijing 100084 Peoples R China Tsinghua Univ Key Lab Ind Biocatalysis Minist Educ Beijing 100084 Peoples R China Capital Med Univ Xuanwu Hosp Dept Cardiol Beijing 100053 Peoples R China Tsinghua Univ Beijing Tsinghua Changgung Hosp Sch Clin Med Dept Cardiol Beijing 102218 Peoples R China Tsinghua Univ Inst Biopharmaceut & Hlth Engn Shenzhen Int Grad Sch Shenzhen 518055 Peoples R China

Photoresponsive black phosphorus (BP)/Ti3C2Tx composites were synthesized by a self-assembly *** gas sensitive property was achieved by visible light *** activated virtual sensor array was fabricated based on BP/Ti3C2Tx *** of coronary heart disease was achieved with the help of machine learning. Early non-invasive diagnosis of coronary heart disease (CHD) is critical. However, it is challenging to achieve accurate CHD diagnosis via detecting breath. In this work, heterostructured complexes of black phosphorus (BP) and two-dimensional carbide and nitride (MXene) with high gas sensitivity and photo responsiveness were formulated using a self-assembly strategy. A light-activated virtual sensor array (LAVSA) based on BP/Ti3C2Tx was prepared under photomodulation and further assembled into an instant gas sensing platform (IGSP). In addition, a machine learning (ML) algorithm was introduced to help the IGSP detect and recognize the signals of breath samples to diagnose CHD. Due to the synergistic effect of BP and Ti3C2Tx as well as photo excitation, the synthesized heterostructured complexes exhibited higher performance than pristine Ti3C2Tx, with a response value 26% higher than that of pristine Ti3C2Tx. In addition, with the help of a pattern recognition algorithm, LAVSA successfully detected and identified 15 odor molecules affiliated with alcohols, ketones, aldehydes, esters, and acids. Meanwhile, with the assistance of ML, the IGSP achieved 69.2% accuracy in detecting the breath odor of 45 volunteers from healthy people and CHD patients. In conclusion, an immediate, low-cost, and accurate prototype was designed and fabricated for the noninvasive diagnosis of CHD, which provided a generalized solution for diagnosing other diseases and other more complex application scenarios.

关键词： Black phosphorus/MXene heterostructures Light-activated virtual sensor array Diagnosis of coronary heart disease Machine learning BLACK PHOSPHORUS NANOSHEETS TI3C2TX MXENE GAS SENSORS OPTICAL-PROPERTIES DISCRIMINATION STENOSIS

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Effect of solidification mode on microstructure evolution and properties of magnesium alloy with long-period stacking ordered phase

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Journal of Iron and Steel Research International 2024年第5期31卷 1127-1138页

作者： hao Li Hong-mei Chen Xu Zhang qian-hao Zang Jing Zhang Di Feng Yan-xin Qiao Yu-hang Guo School of Materials Science and Engineering Jiangsu University of Science and TechnologyZhenjiang212100JiangsuChina School of Metallurgy and Materials Engineering Jiangsu University of Science and TechnologySuzhou215600JiangsuChina

The solidification methods of electromagnetic stirring(EMS)and non-electromagnetic stirring were employed to prepare Mg–6Gd–3Y–xZn–0.6Zr(x=1,1.5,2,3)*** evolution of alloy microstructures and the changes in properties were analyzed for different Zn *** has been observed that in alloys without electromagnetic stirring,as the Zn content increases,the alloy structure gradually *** primary second phase transitions from Mg5RE phase to long-period stacking ordered(LPSO)phase,resulting in improved hardness and *** alloys subjected to electromagnetic stirring,there is a relatively higher content of the second phase,primarily consisting of LPSO *** applying electromagnetic stirring,the quantity and the type of LPSO phase in the alloy *** alloy structure becomes more uniform with electromagnetic stirring,resulting in increased hardness and reduced hardness gradients within the *** mechanical properties of alloys with electromagnetic stirring are superior to those without electromagnetic stirring.

关键词： Rare earth magnesium alloy LPSO phase Electromagnetic stirring Casting Property

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Molecular mechanisms of DNA lesion and repair during antibody somatic hypermutation

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Science China Life Sciences 2024年

作者： qian hao Jinfeng Li Leng-Siew Yeap Shanghai Institute of Immunology Department of Immunology and Microbiology State Key Laboratory of Oncogenes and Related Genes Shanghai Jiao Tong University School of Medicine Center for Immune-Related Diseases at Shanghai Institute of Immunology Department of Endocrinology and Metabolic Diseases Ruijin Hospital Shanghai Jiao Tong University School of Medicine

Antibody diversification is essential for an effective immune response, with somatic hypermutation(SHM) serving as a key molecular process in this adaptation. Activation-induced cytidine deaminase(AID) initiates SHM by inducing DNA lesions, which are ultimately resolved into point mutations, as well as small insertions and deletions(indels). These mutational outcomes contribute to antibody affinity *** mechanisms responsible for generating point mutations and indels involve the base excision repair(BER) and mismatch repair(MMR)pathways, which are well coordinated to maintain genomic integrity while allowing for beneficial mutations to occur. In this regard,translesion synthesis(TLS) polymerases contribute to the diversity of mutational outcomes in antibody genes by enabling the bypass of DNA lesions. This review summarizes our current understanding of the distinct molecular mechanisms that generate point mutations and indels during SHM. Understanding these mechanisms is critical for elucidating the development of broadly neutralizing antibodies(bnAbs) and autoantibodies, and has implications for vaccine design and therapeutics.

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Exploring the role of interleukin-6 receptor blockade in epilepsy and associated neuropsychiatric conditions through a mendelian randomization study

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World Journal of Psychiatry 2024年第8期14卷 1244-1253页

作者： Yan-Mei Yu Gui-Hong Jin Chong Zhong hao qian Lei Wang Feng Zhan Department of Pediatrics The First People's Hospital of ChuzhouChuzhou 239001Anhui ProvinceChina Department of Wenzhou Institute University of Chinese Academy of SciencesWenzhou 325000Zhejiang ProvinceChina

BACKGROUND The interplay between inflammation,immune dysregulation,and the onset of neurological disorders,including epilepsy,has become increasingly ***(IL)-6,a pro-inflammatory cytokine,is suspected to not only mediate traditional inflammatory pathways but also contribute to neuroinflammatory responses that could underpin neuropsychiatric symptoms and broader psychiatric disorders in epilepsy *** role of IL-6 receptor(IL6R)blockade presents an intriguing target for therapeutic intervention due to its potential to attenuate these *** conditions due to *** Mendelian randomization(MR)analysis employing single nucleotide poly-morphisms(SNPs)in the vicinity of the IL6R gene(total individuals=408225)was used to evaluate the putative causal relationship between IL6R blockade and epilepsy(total cases/controls=12891/312803),focal epilepsy(cases/controls=7526/399290),and generalized epilepsy(cases/controls=1413/399287).SNP weights were determined by their effect on C-reactive protein(CRP)levels and integrated using inverse variance-weighted meta-analysis as surrogates for IL6R *** address potential outlier and pleiotropic influences,sensitivity analyses were conducted employing a variety of MR methods under different modeling *** The genetic simulation targeting IL6R blockade revealed a modest but significant reduction in overall epilepsy risk[inverse variance weighting:Odds ratio(OR):0.827;95%confidence interval(CI):0.685-1.000;P=0.05].Subtype analysis showed variability,with no significant effect observed in generalized,focal,or specific childhood and juvenile epilepsy *** the primary inflammatory marker CRP,the findings also suggested potential non-inflammatory pathways mediated by IL-6 signaling contributing to the neurobiological landscape of epilepsy,hinting at possible links to neuroinflammation,psychiatric symptoms,and associated mental *** The i

关键词： Epilepsy Interleukin-6 receptor blockade Mendelian randomization Neuroinflammation Psychiatric disorders

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Light-Activated Virtual Sensor Array with Machine Learning for Non-Invasive Diagnosis of Coronary Heart Disease

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Nano-Micro Letters 2024年第12期 435-456页

作者： Jiawang Hu hao qian Sanyang Han Ping Zhang Yuan Lu Department of Chemical Engineering Tsinghua University Key Laboratory of Industrial Biocatalysis Ministry of Education Tsinghua University Department of Cardiology Xuanwu Hospital Capital Medical University Department of Cardiology Beijing Tsinghua Changgung Hospital School of Clinical Medicine Tsinghua University Institute of Biopharmaceutical and Health Engineering Shenzhen International Graduate School Tsinghua University

Early non-invasive diagnosis of coronary heart disease（CHD） is critical. However, it is challenging to achieve accurate CHD diagnosis via detecting breath. In this work, heterostructured complexes of black phosphorus（BP） and two-dimensional carbide and nitride（MXene） with high gas sensitivity and photo responsiveness were formulated using a self-assembly strategy. A light-activated virtual sensor array（LAVSA） based on BP/Ti3C2Txwas prepared under photomodulation and further assembled into an instant gas sensing platform（IGSP）. In addition, a machine learning（ML） algorithm was introduced to help the IGSP detect and recognize the signals of breath samples to diagnose CHD. Due to the synergistic effect of BP and Ti3C2Txas well as photo excitation, the synthesized heterostructured complexes exhibited higher performance than pristine Ti3C2Tx, with a response value 26% higher than that of pristine Ti3C2Tx. In addition, with the help of a pattern recognition algorithm, LAVSA successfully detected and identified 15 odor molecules affiliated with alcohols, ketones, aldehydes, esters, and acids. Meanwhile, with the assistance of ML, the IGSP achieved 69.2% accuracy in detecting the breath odor of 45 volunteers from healthy people and CHD patients. In conclusion, an immediate, low-cost, and accurate prototype was designed and fabricated for the noninvasive diagnosis of CHD, which provided a generalized solution for diagnosing other diseases and other more complex application scenarios.

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Th17/Treg balance and macrophage polarization ratio in lower extremity arteriosclerosis obliterans

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Asian Pacific Journal of Tropical Biomedicine 2024年第3期14卷 127-136,I0006-I0009页

作者： Zhen-Zhen Li Min Liu Xiong-Hui He Zhen-Dong Liu Zhan-Xiang Xiao hao qian You-Fei Qi Cun-Chuan Wang Department of Metabolic and Bariatric Surgery The First Affiliated Hospital of Jinan UniversityGuangzhouGuangdong Province510632China Department of Vascular Surgery Hainan General HospitalHainan Affiliated Hospital of Hainan Medical UniversityHaikouHainan Province570311China Department of Physical Examination Hainan General HospitalHainan Affiliated Hospital of Hainan Medical UniversityHaikouHainan Province570311China Department of Gastrointestinal Surgery Hainan General HospitalHainan Affiliated Hospital of Hainan Medical UniversityHaikouHainan Province570311China

Objective:To explore the balance of peripheral blood T helper 17 cells/regulatory T cell(Th17/Treg)ratio and the polarization ratio of M1 and M2 macrophages in lower extremity arteriosclerosis obliterans(ASO).Methods:A rat model of lower extremity ASO was established,and blood samples from patients with lower extremity ASO before and after surgery were *** was used to detect interleukin 6(IL-6),IL-10,and ***-time RCR and Western blot analyses were used to detect Foxp3,IL-6,IL-10,and IL-17 ***,flow cytometry was applied to detect the Th17/Treg ratio and M1/M2 ***:Compared with the control group,the iliac artery wall of ASO rats showed significant hyperplasia,and the concentrations of cholesterol and triglyceride were significantly increased(P<0.01),indicating the successful establishment of ***,the levels of IL-6 and IL-17 in ASO rats were pronouncedly increased(P<0.05),while the IL-10 level was significantly decreased(P<0.05).In addition to increased IL-6 and IL-17 levels,the mRNA and protein levels of Foxp3 and IL-10 in ASO rats were significantly decreased compared with the control *** Th17/Treg and M1/M2 ratios in the ASO group were markedly increased(P<0.05).These alternations were also observed in ASO *** endovascular surgery(such as percutaneous transluminal angioplasty and arterial stenting),all these changes were significantly improved(P<0.05).Conclusions:The Th17/Treg and M1/M2 ratios were significantly increased in ASO,and surgery can effectively improve the balance of Th17/Treg,and reduce the ratio of M1/M2,and the expression of inflammatory factors.

关键词： Lower extremity arteriosclerosis Regulatory T cells Regulatory B cells Inflammatory factors M1 macrophages M2 macrophages

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AZD1775 synergizes with SLC7A11 inhibition to promote ferroptosis

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Science China Life Sciences 2024年

作者： Chen Xiong Hong Ling Yingdan Huang Hanzhi Dong Bangxiang Xie qian hao Xiang Zhou Fudan University Shanghai Cancer Center and Institutes of Biomedical Sciences Fudan University Department of Oncology Shanghai Medical College Fudan University Department of Breast Surgery Fudan University Shanghai Cancer Center Fudan University Department of Oncology First Affiliated Hospital of Nanchang University Beijing Institute of Hepatology Beijing Youan Hospital Capital Medical University Beijing Engineering Research Center for Precision Medicine and Transformation of Hepatitis and Liver Cancer Key Laboratory of Breast Cancer in Shanghai Fudan University Shanghai Cancer Center Fudan University Shanghai Key Laboratory of Medical Epigenetics International Co-laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology) Institutes of Biomedical Sciences Fudan University

Tumor suppressor p53-mediated cell cycle arrest and DNA damage repair may exert cytoprotective effects against cancer therapies, including WEE1 inhibition. Considering that p53 activation can also lead to multiple types of cell death, the role of this tumor suppressor in WEE1 inhibitor-based therapies remains disputed. In this study, we reported that nucleolar stress-mediated p53 activation enhanced the WEE1 inhibitor AZD1775-induced ferroptosis to suppress lung cancer growth. Our findings showed that AZD1775 promoted ferroptosis by blocking cystine uptake, an action similar to that of Erastin. Meanwhile, inhibition of WEE1 by the WEE1 inhibitors or siRNAs induced compensatory upregulation of SLC7A11, which conferred resistance to ferroptosis. Mechanistically, AZD1775 prevented the enrichment of H3K9me3, a histone marker of transcriptional repression, on the SLC7A11 promoter by repressing the expression of the histone methyltransferase SETDB1, thereby enhancing NRF2-mediated SLC7A11 transcription. This finding was also validated using the H3K9me3 inhibitor BRD4770. Remarkably, we found that the nucleolar stress-inducing agent Actinomycin D(Act. D) inhibited SLC7A11 expression by activating p53, thus augmenting AZD1775-induced ferroptosis. Moreover, the combination of AZD1775 and Act. D synergistically suppressed wild-type p53-harboring lung cancer cell growth both in vitro and in vivo. Altogether, our study demonstrates that AZD1775promotes ferroptosis by targeting cystine uptake but also mediates the adaptive activation of SLC7A11 through the WEE1-SETDB1 cascade and NRF2-induced transcription, and inhibition of SLC7A11 by Act. D boosts the anti-tumor efficacy of AZD1775 by enhancing ferroptosis in cancers with wild-type p53.

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天然气泄漏扩散实验与高斯预测模型优化

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天然气工业 2024年第7期44卷 154-164页

作者：钱浩中国石油西南油气田公司

众所周知,掌握天然气扩散规律是天然气泄漏监测方案设计的重要依据,其中利用高斯模型来预测天然气泄漏扩散规律已成为天然气事故风险评估和安全疏散的重要技术,但目前还没有适用于天然气等轻气泄漏扩散浓度测量的实验装置。为解决高斯... 详细信息

众所周知,掌握天然气扩散规律是天然气泄漏监测方案设计的重要依据,其中利用高斯模型来预测天然气泄漏扩散规律已成为天然气事故风险评估和安全疏散的重要技术,但目前还没有适用于天然气等轻气泄漏扩散浓度测量的实验装置。为解决高斯预测模型对天然气泄漏扩散预测精度较低的问题,采用天然气扩散浓度监测实验平台,借由阵列布置的激光甲烷浓度探头测量不同风速和不同泄漏速率下,扩散下游空间内不同高度和位置的甲烷浓度,进一步修正了高斯扩散模型中的抬升高度和侧向、垂向扩散系数。研究结果表明:①自主设计的甲烷浓度监测实验平台,可实现下游扩散空间内任意位置的泄漏气云捕捉和分布式浓度测量;②天然气泄漏的气云抬升现象不明显,仅在无风、泄漏速率较小时出现了明显的气云向上抬升。结论认为,通过实验优化后的高斯扩散模型计算精度显著提升,对比查表获取的经验参数,本研究优化后的高斯模型预测扩散浓度偏差由33%降低至16%,显著降低了预测误差,成果对天然气泄漏风险评估与泄漏监测系统的设计具有重要指导意义。

关键词：天然气泄漏扩散实验高斯模型优化抬升高度扩散系数

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大豆油水酶法提取技术研究进展

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中国油脂 2024年第9期49卷 23-27,49页

作者：郝倩岳昊山东农业大学食品科学与工程学院山东泰安271018 山东省农业科学院农产品加工与营养研究所济南250100

大豆油是我国居民膳食油的主要来源,富含多种营养成分。为促进大豆油提取技术的发展,从水酶法提油的基本原理出发,重点阐述了大豆油水酶法提取技术中酶的筛选和活性优化、酶解工艺优化、酶解后破乳以及水酶法与其他辅助手段联用的研究进... 详细信息

大豆油是我国居民膳食油的主要来源,富含多种营养成分。为促进大豆油提取技术的发展,从水酶法提油的基本原理出发,重点阐述了大豆油水酶法提取技术中酶的筛选和活性优化、酶解工艺优化、酶解后破乳以及水酶法与其他辅助手段联用的研究进展,同时综述了水酶法提取对大豆油品质的影响。相比于其他油料,大豆含油量较低且胞内存在占比较大的蛋白质使得其油脂提取较困难。通过工艺优化可有效提高水酶法提取大豆油的提取率,且所得油脂营养价值相对较高,水酶法提取条件温和、能耗低、操作简单安全,符合大豆油加工业的发展需求,在大豆油工业化生产中有广阔的应用空间。

关键词：大豆油油脂提取水酶法加工技术

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