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改进YOLO-DETR的布料表面微小损伤检测方法

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现代电子技术 2024年第13期47卷 160-163页

作者：胡玉恒吴谨武汉科技大学信息科学与工程学院湖北武汉430080

为准确检测出布料表面微小损伤如缺维、浆斑、胶斑等问题,提出基于改进YOLO-DETR的布料表面微小损伤检测方法。在改进YOLO-DETR模型中增加残差模块并扩展特征图尺度,以减少漏检可能性。在模型中融入了CBAM注意力机制和Anchor box,采用K-... 详细信息

为准确检测出布料表面微小损伤如缺维、浆斑、胶斑等问题,提出基于改进YOLO-DETR的布料表面微小损伤检测方法。在改进YOLO-DETR模型中增加残差模块并扩展特征图尺度,以减少漏检可能性。在模型中融入了CBAM注意力机制和Anchor box,采用K-means聚类算法,通过选取K个聚类中心,并基于距离将其他目标划分到最近的聚类中心,形成K个群组。在迭代过程中,通过最小化群内距离和最大化群间距离,优化聚类结果,采用复合损失函数进行检测,增强模型在复杂环境下的识别能力。实验结果表明,该方法检测精度在90%以上,在面对缺维、浆斑、胶斑等复杂性问题时也有较好的检测能力。

关键词：改进YOLO-DETR 布料表面布料损伤损伤检测 K-means聚类注意力机制

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Brain-inspired multimodal approach for effluent quality prediction using wastewater surface images and water quality data

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Frontiers of Environmental Science & Engineering 2024年第3期18卷 69-82页

作者： Junchen Li Sijie Lin Liang Zhang yuheng Liu Yongzhen Peng Qing hu School of Environment Harbin Institute of TechnologyHarbin 150090China School of Environmental Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Engineering Innovation Center of SUSTech(Beijing) Southern University of Science and TechnologyBeijing 100083China Faculty of Environment and Life Beijing University of TechnologyBeijing 100124China Engineering Research Center of Intelligence Perception and Autonomous Control Ministry of EducationBeijing 100124China

Efficiently predicting effluent quality through data-driven analysis presents a significant advancement for consistent wastewater treatment *** this study,we aimed to develop an integrated method for predicting effluent COD and NH3 *** employed a 200 L pilot-scale sequencing batch reactor(SBR)to gather multimodal data from urban sewage over 40 *** we collected data on critical parameters like COD,DO,pH,NH_(3),EC,ORP,SS,and water temperature,alongside wastewater surface images,resulting in a data set of approximately 40246 *** we proposed a brain-inspired image and temporal fusion model integrated with a CNN-LSTM network(BITF-CL)using this *** innovative model synergized sewage imagery with water quality data,enhancing prediction *** a result,the BITF-CL model reduced prediction error by over 23%compared to traditional methods and still performed comparably to conventional techniques even without using DO and SS sensor ***,this research presents a cost-effective and precise prediction system for sewage treatment,demonstrating the potential of brain-inspired models.

关键词： Wastewater treatment system Water quality prediction Data driven analysis Brain-inspired model Multimodal data Attention mechanism

Harnessing innate immune pathways for therapeutic advancement in cancer

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Signal Transduction and Targeted Therapy 2024年第4期9卷 1506-1564页

作者： Ankang hu Li Sun Hao Lin yuheng Liao hui Yang Ying Mao Department of Neurosurgery Huashan HospitalFudan UniversityShanghaiP.R.China Institute for Translational Brain Research Shanghai Medical CollegeFudan University ShanghaiPR.China National Center for Neurological Disorders Huashan HospitalShanghai Medical CollegeFudan UniversityShanghaiP.R.China Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration Shanghai Clinical Medical Center of NeurosurgeryNeurosurgical Institute of Fudan UniversityHuashan HospitalShanghai Medical CollegeFudan UniversityShanghaiP.R.China State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science and MOE Frontiers Center for Brain Science Institutes of Brain ScienceShanghai Medical CollegeFudan UniversityShanghaiP.R.China Shanghai Key Laboratory of Medical Epigenetics International Co-laboratory of Medical Epigenetics and Metabolism(Ministry of Science and Technology)and Key Laboratory of Metabolism and Molecular Medicine(Ministry of Education)and Molecular and Cell Biology LabInstitutes of Biomedical SciencesShanghai Medical College of Fudan UniversityShanghaiP.R.China

The innate immune pathway is receiving increasing attention in cancer *** pathway is ubiquitous across various cell types,not only in innate immune cells but also in adaptive immune cells,tumor cells,and stromal *** targeting the innate immune pathway have shown profound changes in the tumor microenvironment(TME)and improved tumor prognosis in preclinical ***,to date,the clinical success of drugs targeting the innate immune pathway remains ***,recent studies have shown that activation of the innate immune pathway can paradoxically promote tumor *** uncertainty surrounding the therapeutic effectiveness of targeted drugs for the innate immune pathway is a critical issue that needs immediate *** this review,we observe that the role of the innate immune pathway demonstrates heterogeneity,linked to the tumor development stage,pathway status,and specific cell *** propose that within the TME,the innate immune pathway exhibits multidimensional *** diversity is fundamentally rooted in cellular heterogeneity and is manifested as a variety of signaling *** pro-tumor effect of innate immune pathway activation essentially reflects the suppression of classical pathways and the activation of potential pro-tumor alternative *** our understanding of the tumor's innate immune pathway network and employing appropriate targeting strategies can enhance our ability to harness the anti-tumor potential of the innate immune pathway and ultimately bridge the gap from preclinical to clinicalapplication.

关键词： drugs therapeutic innate

The role of lipid metabolism in osteoporosis:Clinical implication and cellular mechanism

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Genes & Diseases 2024年第4期11卷 220-233页

作者： Jing Zhang Wenhui hu Zhi Zou yuheng Li Fei Kang Jianmei Li Shiwu Dong College of Bioengineering Chongqing UniversityChongqing 400044China Department of Biomedical Materials Science College of Biomedical EngineeringArmy Medical University(Third Military Medical University)Chongqing 400038China State Key Laboratory of Trauma and Chemical Poisoning Army Medical University(Third Military Medical University)Chongqing 400038China

In recent years,researchers have become focused on the relationship between lipids and bone metabolism ***,many diseases related to lipid metabolism dis-orders,such as nonalcoholic fatty liver disease,atherosclerosis,obesity,and menopause,are associated with osteoporotic *** has been clinically observed in humans that these lipid metabolism disorders promote changes in osteoporosis-related indicators bone mineral density and bone ***,similar osteoporotic phenotype changes were observed in high-fat and high-cholesterol-induced animal *** lipid metabolism(such as increased oxidized lipids and elevated plasma cholesterol)affects bone microenvironment ho-meostasis via cross-organ communication,promoting differentiation of mesenchymal stem cells to adipocytes,and inhibiting commitment towards ***,disturbances in lipid metabolism affect the bone metabolism balance by promoting the secretion of cyto-kines such as receptor activator of nuclear factor-kappa B ligand by osteoblasts and stimulating the differentiation of ***,this review addresses the possible link be-tween lipid metabolism disorders and osteoporosis and elucidates the potential modulatory mechanisms and signaling pathways by which lipid metabolism affects bone metabolism *** also summarize the possible approaches and prospects of intervening lipid meta-bolismforosteoporosistreatment.

关键词： Bone homeostasis Cross-organ communication Lipid metabolism Osteoclast Osteoporosis

Secondary bile acids are associated with body lipid accumulation in obese pigs

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Animal Nutrition 2024年第3期18卷 246-256页

作者： Yaolian hu Aimin Wu hui Yan Junning Pu Junqiu Luo Ping Zheng yuheng Luo Jie Yu Jun He Bing Yu Daiwen Chen Key Laboratory of Animal Disease-Resistant Nutrition Ministry of EducationAnimal Nutrition InstituteSichuan Agricultural UniversityYa'an 625014China

The aim of this study was to investigate the reasons for the differences in lipid accumulation between lean and obese *** bile acids with varying levels within two types of pigs were found and then in vitro experiments were conducted to identify whether these bile acids can directly affect lipid *** pigs,including seven lean and seven obese pigs with body weights of approximately 80 kg,were fed the same diet at an amount approximately equivalent to 3%of their respective body weights daily for 42 *** vitro,3T3-L1 preadipocytes were cultured in medium with high glucose levels and were differentiated into mature adipocytes using differentiation ***,bile acids were added to mature adipocytes for 4 *** results showed that there was a difference in body lipids levels and gut microbiota composition between obese and lean pigs(P<0.05).According to the results of gut microbial function prediction,the bile acid biosynthesis in colonic digesta of obese pigs were different from that in lean ***-five bile acids were further screened by metabolomics,of which 4 were upregulated(P<0.05)and 2 were downregulated(P<0.05)in obese pigs compared to lean *** results of the correlation analysis demonstrated that chenodeoxycholic acid-3-β-D-glucuronide(CDCA-3Gln)andω-muricholic acid(ω-MCA)had a negative correlation with abdominal fat weight and abdominal fat rate,while isoallolithocholic acid(IALCA)was positively associated with crude fat in the liver and abdominal fat *** was a positive correlation between loin muscle area and CDCA-3Gln andω-MCA(P<0.05),however,IALCA and 3-oxodeoxycholic acid(3-oxo-DCA)were negatively associated with loin eye muscle area(P<0.05).Isoallolithocholic acid increased the gene expression of peroxisome proliferator-activated receptor gamma(PPARG)and the number of lipid droplets(P<0.05),promoting the lipid storage when IALCA was added to 3T3-L1 mature adipocytes in *** conclusion,the concentration of bile ac

关键词： Lean or obese pig Lipid accumulation Bile acid profile Gut microbiota

契约治理与关系治理的机制构成、驱动逻辑与适配环境——基于家族企业跨代变迁的比较案例研究

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管理学报 2023年第1期20卷 14-25页

作者：吴炯胡羽衡东华大学旭日工商管理学院上海市200051

基于两家突发性代际传承的家族企业治理实践,采用跨案例研究方法,探究契约治理与关系治理的机制构成、驱动逻辑与适配环境。研究发现:“监督机制、激励机制、制衡机制”与“信任机制、权威机制、心智模式机制”分别构成了契约治理与关... 详细信息

基于两家突发性代际传承的家族企业治理实践,采用跨案例研究方法,探究契约治理与关系治理的机制构成、驱动逻辑与适配环境。研究发现:“监督机制、激励机制、制衡机制”与“信任机制、权威机制、心智模式机制”分别构成了契约治理与关系治理的机制内容;治理模式的驱动逻辑包含系统秩序与目标准则两个层面,契约治理由个体导向与冲突解决运作,集体导向与冲突规避则孕育了关系治理;行为动机、合法性环境与家族理念共同影响着家族企业治理模式的选择。

关键词：关系治理契约治理家族企业治理模式跨代变迁社会嵌入

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埋弧焊X射线焊缝图像缺陷分割检测技术

仪器仪表学报 2011年第6期32卷 1215-1224页

作者：高炜欣胡玉衡穆向阳武晓萌西安石油大学电子工程学院威斯康星大学麦迪逊分校电气与计算机工程系

针对在埋弧焊X射线焊缝图像的强噪声和弱对比度特点下常规图像分割算法成功率低的现状,通过综合的分析和实验有针对性地给出了系统、实用的缺陷分割方法。首先通过实验给出了一种提取焊缝图像感兴趣区域(the region of interest,ROI)的... 详细信息

针对在埋弧焊X射线焊缝图像的强噪声和弱对比度特点下常规图像分割算法成功率低的现状,通过综合的分析和实验有针对性地给出了系统、实用的缺陷分割方法。首先通过实验给出了一种提取焊缝图像感兴趣区域(the region of interest,ROI)的方法。该方法通过中值滤波,基于sin函数的图像增强、大津法分割、Sobel算子边缘检测和Hough变换可以定量计算出X射线焊缝图像的ROI区域。进一步通过实验给出基于大津法的焊缝缺陷分割算法,实验表明在无人工设定初始分割阈值情况下这一分割算法具有较高的分割成功率。为进一步提高分割成功率,针对焊缝缺陷相对面积较小的特点,提出将缺陷视为噪声,将平均局部平均灰度视为密度,利用密度聚类方法进行缺陷分割。该方法在78张有缺陷的焊缝图像中,成功地分割出74张图像中的缺陷。最后在所研究算法基础上给出了一个综合考虑到各种因素的分割算法,即可节约计算时间,又可以保证分割的成功率。

关键词：焊接缺陷分割图像处理聚类

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3-(4′-苯甲酰基氨基-苯基)-香豆素衍生物的合成及体外降血糖活性

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中国药科大学学报 2019年第2期50卷 168-174页

作者：胡玉恒孙捷杨洁王晓静济南大学山东省医学科学院医学与生命科学学院济南250200 山东省医学科学院药物研究所济南250062 国家卫生部生物技术药物重点实验室济南250062 山东省罕见病重点实验室济南250062

首先以对氨基苯乙酸和水杨醛类化合物为原料,通过Perkin缩合反应,再经盐酸酸化合成了3个3-芳基香豆素类化合物4a～4c;再与取代苯甲酰氯6a～6h通过酰胺化反应合成得到了10个3-(4′-苯甲酰基氨基-苯基)香豆素类化合物7a～7j。所有目标化... 详细信息

首先以对氨基苯乙酸和水杨醛类化合物为原料,通过Perkin缩合反应,再经盐酸酸化合成了3个3-芳基香豆素类化合物4a～4c;再与取代苯甲酰氯6a～6h通过酰胺化反应合成得到了10个3-(4′-苯甲酰基氨基-苯基)香豆素类化合物7a～7j。所有目标化合物的结构均经过~1H NMR,^(13)C NMR,ESI-MS进行了确证。通过测定α-葡萄糖苷酶抑制活性和晚期糖基化终产物(AGEs)形成抑制活性评价了目标化合物的体外降血糖活性。结果表明化合物7f(IC_(50)=10.84±0.36μmol/L)表现出较好的α-葡萄糖苷酶的抑制活性;化合物7g(IC_(50)=5.01±0.55μmol/L)对AGEs形成抑制活性远高于阳性药氨基胍盐酸盐(AG,IC_(50)=290.31±7.32μmol/L),这些结果为抗糖尿病药物的进一步研究提供了理论基础。

关键词： 3-(4′-苯甲酰基氨基-苯基)-香豆素衍生物合成 Perkin缩合反应 α-葡萄糖苷酶晚期糖基化终产物糖尿病

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Predicting the strut forces of the steel supporting structure of deep excavation considering various factors by machine learning methods

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Underground Space 2024年第5期18卷 114-129页

作者： Haibo hu Xunjian hu Xiaonan Gong Research Center of Coastal and Urban Geotechnical Engineering Zhejiang UniversityHangzhou 310058China

The application of steel strut force servo systems in deep excavation engineering is not widespread,and there is a notable scarcity of in-situ measured *** presents a significant research gap in the *** this,our study introduces a valuable dataset and application scenarios,serving as a reference point for future *** main objective of this study is to use machine learning(ML)methods for accurately predicting strut forces in steel supporting structures,a crucial aspect for the safety and stability of deep excavation *** employed five different ML methods:radial basis function neural network(RBFNN),back propagation neural network(BPNN),K-Nearest Neighbor(KNN),support vector machine(SVM),and random forest(RF),utilizing a dataset of 2208 measured *** points included one output parameter(strut forces)and seven input parameters(vertical position of strut,plane position of strut,time,temperature,unit weight,cohesion,and internal frictional angle).The effectiveness of these methods was assessed using root mean square error(RMSE),correlation coefficient(R),and mean absolute error(MAE).Our findings indicate that the BPNN method outperforms others,with RMSE,R,and MAE values of 72.1 kN,0.9931,and 57.4 kN,respectively,on the testing *** study underscores the potential of ML methods in precisely predicting strut forces in deep excavation engineering,contributing to enhanced safety measures and project planning.

关键词： Deep excavation Steel supporting structure Strut forces Machine learning Time Temperature