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Distribution of per-and polyfluoroalkyl substances in blood,serum,and urine of patients with liver cancer and associations with liver function biomarkers

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Journal of Environmental Sciences 2024年第5期139卷 418-427页

作者： Cao dai Lin Peng Yanjie Li Zhendong Li da chen Fei Wang Nan Lin Department of Hepatobiliary Surgery The Third Affiliated Hospital of Sun Yat-sen UniversityGuangzhou 510630China School of Environment Guangdong Key Laboratory of Environmental Pollution and HealthJinan UniversityGuangzhou 510632China State Key Laboratory of Environmental and Biological Analysis Department of ChemistryHong Kong Baptist UniversityHong Kong 999077China South China Institute of Environmental Sciences MEEGuangzhou 510655China

Studies have shown that per-and polyfluoroalkyl substances(PFASs)may be hepatotoxic in animals or ***,data on clinical epidemiology are very *** this study,21PFASs were determined in patients with liver diseases,with the highest median concentrations detected in the serum sample(26.7 ng/mL),followed by blood(10.7 ng/mL)and urine(5.02 ng/mL).Higher total PFAS concentrations were found in hepatocellular carcinoma(HCC)patients compared to non-HCC patients,with significant discrepancies in serum and blood ***,significant correlations were also found among PFAS concentrations and age,gender,body mass index(BMI),and liver function biomarkers *** example,PFAS concentrations are significantly higher in males than in females;Several serum PFASs concentrations increase with age and BMI,while the serum perfluorohexane sulfonic acid(PFHxS)concentrations are negatively correlated with *** addition,multiple regression models adjusted for age,gender and BMI found that increased serum perfluorobutane sulfonic acid(PFBS),perfluoroheptane sulfonic acid(PFHpS)and perfluorohexylphosphonic acid(PFHxPA)conentrations are correlated with elevated alkaline phosphatase(ALP),aspartate aminotransferase(AST),and alpha-fetoprotein(AFP)(p<0.05).Our results provide epidemiological support for the future study on the potential clinical hepatotoxicity of PFAS.

关键词： Per-and polyfluoroalkyl substances(PFASs) Liver cancer Serum Blood Urine Liver function biomarkers

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A prognostic four-gene signature and a therapeutic strategy for hepatocellular carcinoma:Construction and analysis of a circRNA-mediated competing endogenous RNA network

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Hepatobiliary & Pancreatic Diseases International 2024年第3期23卷 272-287页

作者： Hai-Yan Zhang Jia-Jie Zhu Zong-Ming Liu Yu-Xuan Zhang Jia-Jia chen Ke-da chen Zhejiang Chinese Medical University Hangzhou 310053China Shulan International Medical College Zhejiang Shuren UniversityHangzhou 310015China State Key Laboratory for Diagnosis and Treatment of Infectious Diseases National Clinical Research Center for Infectious DiseasesNational Medical Center for Infectious DiseasesCollaborative Innovation Center for Diagnosis and Treatment of Infectious DiseasesThe First Affiliated HospitalZhejiang University School of MedicineHangzhou 310009China

Background:Hepatocellular carcinoma(HCC)has a poor long-term *** competition of circular RNAs(circRNAs)with endogenous RNA is a novel tool for predicting HCC *** on the alterations of circRNA regulatory networks,the analysis of gene modules related to HCC is ***:Multiple expression datasets and RNA element targeting prediction tools were used to construct a circRNA-microRNA-mRNA network in *** function,pathway,and protein interaction analyses were performed for the differentially expressed genes(DEGs)in this regulatory *** the proteinprotein interaction network,hub genes were identified and subjected to regression analysis,producing an optimized four-gene signature for prognostic risk stratification in HCC ***-HCC drugs were excavated by assessing the DEGs between the low-and high-risk groups.A circRNA-microRNA-hub gene subnetwork was constructed,in which three hallmark genes,KIF4A,CCNA2,and PBK,were subjected to functional enrichment ***:A four-gene signature(KIF4A,CCNA2,PBK,and ZWINT)that effectively estimated the overall survival and aided in prognostic risk assessment in the The Cancer Genome Atlas(TCGA)cohort and International Cancer Genome Consortium(ICGC)cohort was *** inhibitors,PI3K inhibitors,HdaC inhibitors,and EGFR inhibitors were predicted as four potential mechanisms of drug action(MOA)in high-risk HCC *** analysis has revealed that PBK,CCNA2,and KIF4A play a crucial role in regulating the tumor microenvironment by promoting immune cell invasion,regulating microsatellite instability(MSI),and exerting an impact on HCC ***:The present study highlights the role of the circRNA-related regulatory network,identifies a four-gene prognostic signature and biomarkers,and further identifies novel therapy for HCC.

关键词： Hepatocellular carcinoma circRNA-related ceRNA network Biomarker Least absolute shrinkage and selection operator Bioinformatics

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Image Semantic Segmentation Approach for Studying Human Behavior on Image data

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Wuhan University Journal of Natural Sciences 2024年第2期29卷 145-153页

作者： ZHENG Zhan chen da HUANG Yanrong School of Communication Wuhan Textile UniversityWuhan 430073HubeiChina Walnut Street(Shanghai)Information Technology Co. Ltd.Shanghai 200051China College of Economics&Management Zhejiang University of Water Resources and Electric PowerHangzhou 310018ZhejiangChina Research Center for Digital Economy and Sustainable Development of Water Resources Hangzhou 310018ZhejiangChina

Image semantic segmentation is an essential technique for studying human behavior through image *** paper proposes an image semantic segmentation method for human behavior ***,an end-to-end convolutional neural network architecture is proposed,which consists of a depth-separable jump-connected fully convolutional network and a conditional random field network;then jump-connected convolution is used to classify each pixel in the image,and an image semantic segmentation method based on convolu-tional neural network is proposed;and then a conditional random field network is used to improve the effect of image segmentation of hu-man behavior and a linear modeling and nonlinear modeling method based on the semantic segmentation of conditional random field im-age is ***,using the proposed image segmentation network,the input entrepreneurial image data is semantically segmented to obtain the contour features of the person;and the segmentation of the images in the medical *** experimental results show that the image semantic segmentation method is *** is a new way to use image data to study human behavior and can be extended to other research areas.

关键词： human behavior research image semantic segmentation hop-connected full convolution network conditional random field network deep learning

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Correlation between cerebral neurotransmitters levels by proton magnetic resonance spectroscopy and HbA1c in patients with type 2 diabetes

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World Journal of Diabetes 2024年第6期15卷 1263-1271页

作者： Xiang-Yu Gao chen-Xia Zhou Hong-Mei Li Min cheng da chen Zi-Yi Li Bo Feng Jun Song Department of Endocrinology East HospitalTongji University School of MedicineShanghai 200120China Department of Endocrinology Qilu Hospital(Qingdao)Cheeloo College of MedicineShandong UniversityQingdao 266000Shandong ProvinceChina Department of Immunization Program Huangdao District Center for Disease Prevention and ControlQingdao 266400Shandong ProvinceChina

BACKGROUND Cognitive dysfunction is the main manifestation of central *** cognitive impairments tend to be overlooked in patients with diabetes mellitus(DM),there is a growing body of evidence linking DM to cognitive *** is closely related to neurological abnormalities,while often disregarded in clinical *** in cerebral neurotransmitter levels are associated with a variety of neurological abnormalities and may be closely related to blood glucose control in patients with type 2 DM(T2DM).AIM To evaluate the concentrations of cerebral neurotransmitters in T2DM patients exhibiting different hemoglobin A1c(HbA1c)*** A total of 130 T2DM patients were enrolled at the Department of Endocrinology of Shanghai East *** participants were divided into four groups according to their HbA1c levels using the interquartile method,namely Q1(data were collected and measured,including age,height,weight,neck/waist/hip circumferences,blood pressure,comorbidities,duration of DM,and biochemical ***,neurotransmitters in the left hippocampus and left brainstem area were detected by proton magnetic resonance *** The HbA1c level was significantly associated with urinary microalbumin(mALB),triglyceride,low-density lipoprotein cholesterol(LDL-C),homeostasis model assessment of insulin resistance(HOMA-IR),and beta cell function(HOMA-β),N-acetylaspartate/creatine(NAA/Cr),and NAA/choline(NAA/Cho).Spearman correlation analysis showed that mALB,LDL-C,HOMA-IR and NAA/Cr in the left brainstem area were positively correlated with the level of HbA1c(P<0.05),whereas HOMA-βwas negatively correlated with the HbA1c level(P<0.05).Ordered multiple logistic regression analysis showed that NAA/Cho[Odds ratio(OR):1.608,95%confidence interval(95%CI):1.004-2.578,P<0.05],LDL-C(OR:1.627,95%CI:1.119-2.370,P<0.05),and HOMA-IR(OR:1.107,95%CI:1.031-

关键词： Type 2 diabetes mellitus Hemoglobin A1c Proton magnetic resonance spectroscopy Neurotransmitters Central neuropathy

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Image Processing for Denoising Using Composite Adaptive Filtering Methods Based on RMSE

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Open Journal of Applied Sciences 2024年第3期14卷 660-675页

作者： Yanlu chen Ruijie Wang Puming Zong da chen Control Theory and Control Engineering College of Railway Transportation Hunan University of Technology Zhuzhou China Inner Mongolia Power Group Xilingol Extra High Voltage Power Supply Company Xilinhot China Inner Mongolia Power Group Limited Liability Company XilinGol Power Supply Branch Xilinhot China

As one of the carriers for human communication and interaction, images are prone to contamination by noise during transmission and reception, which is often uncontrollable and unknown. Therefore, how to denoise images contaminated by unknown noise has gradually become one of the research focuses. In order to achieve blind denoising and separation to restore images, this paper proposes a method for image processing based on Root Mean Square Error (RMSE) by integrating multiple filtering methods for denoising. This method includes Wavelet Filtering, Gaussian Filtering, Median Filtering, Mean Filtering, Bilateral Filtering, Adaptive Bandpass Filtering, Non-local Means Filtering and Regularization Denoising suitable for different types of noise. We can apply this method to denoise images contaminated by blind noise sources and evaluate the denoising effects using RMSE. The smaller the RMSE, the better the denoising effect. The optimal denoising result is selected through comprehensively comparing the RMSE values of all methods. Experimental results demonstrate that the proposed method effectively denoises and restores images contaminated by blind noise sources.

关键词： Blind Denoising Adaptive RMSE Image Restoratio

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Sorafenib sensitization in tumor therapy by iron overload and AMPK activation

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Nano Research 2024年第7期17卷 6386-6399页

作者： Jun Zhu Shoujie Zhao Yejing Zhu Shouzheng Ma Tenghui Han Fenghua Xu Huichen Li Bo Wang Zhixiong Guo da chen Yongquan Qu Zhimin Tian Junlong Zhao Lei Liu State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers National Clinical Research Center for Digestive DiseasesXijing HospitalFourth Military Medical UniversityXi’an 710032China Department of General Surgery The Southern Theater Air Force HospitalGuangzhou 510602China Department of General Surgery Tangdu HospitalFourth Military Medical UniversityXi’an 710038China Department of Thoracic Surgery Tangdu HospitalFourth Military Medical UniversityXi’an 710038China Department of Neurology Airborne Army HospitalWuhan 430012China Key Laboratory of Modern Teaching Technology(Ministry of Education) Shaanxi Normal UniversityXi’an 710062China State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers Department of Biochemistry and Molecular BiologySchool of Basic MedicineFourth Military Medical UniversityXi’an 710032China Key Laboratory of Special Functional and Smart Polymer Materials of Ministry of Industry and Information Technology School of Chemistry and Chemical EngineeringNorthwestern Polytechnical UniversityXi’an 710072China State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers Department of Medical Genetics and Developmental BiologyFourth Military Medical UniversityXi’an 710032China Department of Pediatrics Tangdu HospitalFourth Military Medical UniversityXi’an 710000China

Sorafenib,as a first-line drug for advanced hepatocellular carcinoma(HCC),could trigger ferroptosis by inhibiting cystine/glutamate ***,low-level intracellular iron and insufficient activation of adenosine monophosphate(AMP)-activated protein kinase(AMPK)confer impaired response to *** this study,a unique sorafenib nanocomposite dexterously modified with Fe-Material of Institut Lavoisier(sora@Fe-MIL)was synthesized to escalate intracellular iron level and activate AMPK,further potentiating the ferroptotic effect of ***,this strategic deployment of sora@Fe-MIL triggered an extensive demise of cancer cells,while manifesting negligible deleterious impact on normal *** prominent ferroptosis biomarkers,glutathione peroxidase 4(GPX4)and solute carrier family 7 member 11(SLC7A11),underwent pronounced downregulation,underscoring the efficacy of this strategy in inducing ***,the bioactivity of AMPK was considerably elevated,and its downstream targets were conspicuously inhibited by the treatment with sora@*** orthotopic HCC animal models,we observed a substantial suppression of primary in situ tumor growth,and ribonucleic acid(RNA)sequencing elucidated an elevated degree of ferroptosis and AMPK activation with the treatment of sora@*** conclusion,we proposed that the meticulously designed strategy for secure and efficacious iron release and AMPK activation could significantly potentiate the ferroptotic impact of sorafenib,thus resuscitating its therapeutic response in HCC patients.

关键词： anti-tumor ferroptosis Fe-Material of Institut Lavoisier(Fe-MIL) sorafenib adenosine monophosphate(AMP)-activated protein kinase(AMPK)

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基于可重构硅光滤波器的计算重建片上光谱仪

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物理学报 2024年第14期73卷 34-42页

作者：张赞黄北举陈弘达长安大学电子与控制工程学院西安710018 中国科学院半导体研究所光电材料与器件重点实验室北京100083 中国科学院大学材料科学与光电技术学院北京100049

相比于笨重的台式光谱仪,集成化的芯片级光谱仪可以应用于便携式的健康监测、环境检测等场景.我们设计了一个基于硅光子平台的片上光谱仪.该器件由一个透射光谱可重构的硅光滤波器构成.通过改变滤波器的透射光谱,可以实现对输入光谱的... 详细信息

相比于笨重的台式光谱仪,集成化的芯片级光谱仪可以应用于便携式的健康监测、环境检测等场景.我们设计了一个基于硅光子平台的片上光谱仪.该器件由一个透射光谱可重构的硅光滤波器构成.通过改变滤波器的透射光谱,可以实现对输入光谱的多次且不同的采样.再结合人工神经网络算法,从采样后的信号中重建出入射光谱.可重构的硅光滤波器由互相耦合的马赫曾德干涉仪和微环谐振腔组成.采用集成的热光相移器引入相位变化,能够对滤波器的透射光谱进行重构.通过这种方式,基于单个可重构滤波器可得到包含宽、窄光谱多样特征的响应函数.不需要滤波器阵列,就可以实现对入射光谱的多样化采样,能够显著地减小光谱检测器件的面积.仿真结果表明,所设计的器件在1500—1600 nm波长范围内可以实现连续光谱和稀疏光谱的重建,分辨率约为0.2 nm.该器件在可穿戴光学传感、便携式光谱仪等场景中具有巨大的应用潜力.

关键词：计算光谱重建可重构硅光滤波器深度学习光子集成回路

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从“正统”到“中华一统”:元修三史正统观新解

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中央民族大学学报（哲学社会科学版） 2024年第4期51卷 143-151页

作者：陈俊达吉林大学文学院吉林长春130012

辽宋金三史的议修贯穿整个元朝,根本原因在于正统的争议。元修三史所涉“正统”之争,史官的理论依据既有传统的华夷之辨正统观,也有受“大一统”思想影响而出现的“大一统正统观”,以及源自《南史》《北史》编纂思想的“复线正统观”。... 详细信息

辽宋金三史的议修贯穿整个元朝,根本原因在于正统的争议。元修三史所涉“正统”之争,史官的理论依据既有传统的华夷之辨正统观,也有受“大一统”思想影响而出现的“大一统正统观”,以及源自《南史》《北史》编纂思想的“复线正统观”。元朝实现的“中华一统”格局不是单一民族体制下的一统,而是多民族凝聚而成的共同体,反映在正统观上,元朝不再拘泥于将某一政权作为正统承续对象。元朝最终以辽、宋、金三朝同为正统,本质上即承认三者皆为中华王朝,同属“中华”。由于三史在时间、空间上均存在重合,虽为三朝之史,实则彼此关联,三者所组成的完整体系便是10至13世纪的“中华”,故命名为“史”,而未命名为“书”。元朝则是超越“正统”之上的“中华一统”。“中华一统”观念历经明、清两朝发展,为近代以来“中华民族”意识走向自觉和铸牢中华民族共同体意识奠定了坚实的历史基础。

关键词：元修三史正统中华一统

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基于孪生人工蜂鸟算法的多作业模式半导体封测环节调度

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中国机械工程 2024年第2期35卷 260-267,279页

作者：王洪吴立辉陈达张洁东华大学机械工程学院上海201620 东华大学人工智能研究院上海201620 上海应用技术大学机械工程学院上海201418

针对多作业模式的半导体封装测试环节调度问题,以最小化最大完工时间为目标,提出了孪生人工蜂鸟算法。设计了孪生种群机制,通过构建双解码、孪生种群生成与协作方法,扩大解的搜索空间,提高初始解的质量,增加优化过程中解的多样性,进而... 详细信息

针对多作业模式的半导体封装测试环节调度问题,以最小化最大完工时间为目标,提出了孪生人工蜂鸟算法。设计了孪生种群机制,通过构建双解码、孪生种群生成与协作方法,扩大解的搜索空间,提高初始解的质量,增加优化过程中解的多样性,进而提高求解精度。通过双向引导觅食策略,平衡算法多样性与收敛性,增强算法稳定性。通过构建四邻域搜索策略,增强算法局部优化能力。实验结果表明,该方法能有效缩短半导体封测环节的最大完工时间。

关键词：生产调度半导体封装测试多作业模式孪生人工蜂鸟算法

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基于有限元仿真的ECT感兴趣区域高分辨率图像重建

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系统仿真学报 2024年第8期36卷 1823-1831页

作者：张立峰陈达华北电力大学自动化系河北保定071003 保定市综合能源系统状态检测与优化调控重点实验室河北保定071003

感兴趣区域的高分辨率图像重建是电容层析成像(electrical capacitance tomography,ECT)技术的研究热点之一。均匀电极分布的ECT模型仅在重建场域的边界位置具有较高的灵敏度系数,不适用于感兴趣区域成像。为改善感兴趣区域中的灵敏度分... 详细信息

感兴趣区域的高分辨率图像重建是电容层析成像(electrical capacitance tomography,ECT)技术的研究热点之一。均匀电极分布的ECT模型仅在重建场域的边界位置具有较高的灵敏度系数,不适用于感兴趣区域成像。为改善感兴趣区域中的灵敏度分布,提高图像分辨率,提出了一种基于有限元仿真ECT感兴趣区域高分辨率图像重建方法,根据保角变换理论优化电极分布。进行了仿真实验,将均匀电极和优化电极分布的灵敏度矩阵代入Tikhonov算法、Landweber算法和ART算法,重建结果表明上述方法可有效提高感兴趣区域的图像重建精度。

关键词：电容层析成像有限元仿真感兴趣区域灵敏度矩阵保角变换电极分布

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