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卵巢癌铂类化疗耐药的分子机制研究进展

医学研究与教育 2024年第1期41卷 18-26页

作者：刘影梁义娟解丹闫丽伟刘璐王伟明河北大学附属医院妇科河北保定071000 河北大学临床医学院河北保定071000

铂类药物是卵巢癌最有效的化疗药物之一,虽然铂类化疗的初始反应高达80%,但耐药性很常见。在大多数晚期患者中,最终复发和死亡是由获得性耐药所引起。卵巢癌化疗耐药性是影响其治疗效果的重大障碍,然而化疗耐药其病因不清、机制复杂,是... 详细信息

铂类药物是卵巢癌最有效的化疗药物之一,虽然铂类化疗的初始反应高达80%,但耐药性很常见。在大多数晚期患者中,最终复发和死亡是由获得性耐药所引起。卵巢癌化疗耐药性是影响其治疗效果的重大障碍,然而化疗耐药其病因不清、机制复杂,是临床及科研中急需解决的难点和热点。因此,卵巢癌耐药机制的研究将为卵巢癌化疗的探索及研发提供依据。现关于卵巢癌铂类耐药的分子机制进行综述。

关键词：卵巢癌铂类化疗耐药性分子机制

中医药治疗青春期多囊卵巢综合征的现代机制研究进展及优势

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中国医药导报 2024年第9期21卷 41-44,49页

作者：张春兰侯丽辉李威孙淼王伟明黑龙江中医药大学附属第一医院妇科黑龙江哈尔滨150040 黑龙江省中医药科学院中药研究所黑龙江哈尔滨150036

多囊卵巢综合征(PCOS)是与内分泌异常、生殖功能障碍关系密切的一种疾病,以雄激素过高、持续无排卵或胰岛素抵抗为重要特征。PCOS多于青春期起病,青春期PCOS患病率逐年升高,发病年龄逐渐提前,患者除了有闭经、肥胖、痤疮、多毛等常见的... 详细信息

多囊卵巢综合征(PCOS)是与内分泌异常、生殖功能障碍关系密切的一种疾病,以雄激素过高、持续无排卵或胰岛素抵抗为重要特征。PCOS多于青春期起病,青春期PCOS患病率逐年升高,发病年龄逐渐提前,患者除了有闭经、肥胖、痤疮、多毛等常见的症状外,还有可能产生焦虑、自卑等心理障碍,这给许多青春期女性带来困扰,应积极地予以临床干预。传统医学认识青春期PCOS注重脏腑,认为本病病机为肾虚,兼以脾虚、肝郁;现代医学的认识则进展为信号通路靶向的细胞进程,主要涉及Wnt/β-catenin、PI3K/Akt/mTOR等信号通路。目前,对于青春期PCOS目前尚无统一标准的诊疗方案,在临床中,除常用的西药治疗外,可以采用中药及中医特色治疗进行积极、及时的干预。本文对青春期PCOS的中医药治疗方法及现代机制研究进展进行综述,以期对青春期PCOS的治疗提供多种途径的治疗方法。

关键词：青春期多囊卵巢综合征机制研究进展中医中药治疗优势

Decarboxylative cyanation and thiocyanation via catalytic electron donor-acceptor complex with copper catalysis

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Science China Chemistry 2024年第9期67卷 3019-3028页

作者： Hongping Zhao Xiaoxiang Xi Tianbao Wu Zimin Chen Minyan wang weiming Yuan Key Laboratory of Material Chemistry for Energy Conversion and Storage Ministry of EducationHubei Key Laboratory of Bioinorganic Chemistry and Materia MedicaSchool of Chemistry and Chemical EngineeringHuazhong University of Science and Technology(HUST)Wuhan 430074China State Key Laboratory of Coordination Chemistry School of Chemistry and Chemical EngineeringNanjing UniversityNanjing 210093China Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen 518000China

A new catalytic decarboxylative cyanation and thiocyanation via a synergistic Na I/Cu catalysis is *** photoexcited electron donor-acceptor complex by assembly of Na I,R3P,and N-acyloxy-phthalimide ester(NHPI ester)triggers the generation of alkyl radical species,which then engages in Cu-catalyzed radical coupling *** to success of this dual catalytic transformation is the reliable charge transfer between I·and Cu(I).This dual catalytic platform can eliminate the use of expensive iridium-based photocatalyst or synthetically elaborate organic dyes.A series of primary,secondary,and tertiary alkyl nitriles and thiocyanates are easily ***,an asymmetric decarboxylative cyanation by applying a chiral Cu catalyst is also developed to afford chiral nitriles in high *** mechanistic details and the origin of the high enantioselectivity are further investigated by the mechanistic experiments and the density functional theory calculations.

关键词： electron donor-acceptor catalysis copper catalysis cyanation thiocyanation asymmetric synthesis

Preparation and Mechanical Properties of Zirconia Ceramics Doped with Different Y_(2)O_(3)Contents

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Journal of Wuhan University of Technology(Materials Science) 2023年第6期38卷 1287-1292页

作者： SONG Yanwei ZHAO Xiaoqing wang Aiyang XIONG Yan DONG Yanling wang Weimin State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070China School of Materials and Chemical Engineering Hubei University of TechnologyWuhan 430068China

The sintering behavior and mechanical properties of zirconia doped with 2.0mol%-3.0mol%Y_(2)O_(3)were studied by pressure-less *** experimental results show that the densification temperature of zirconia ceramics increases gradually with the decrease of Y_(2)O_(3)doping content by which decreases the sintering driving force due to the lower oxygen vacancy concentration of the ***,the bending strength and fracture toughness of the prepared zirconia ceramics increase with the decrease of Y_(2)O_(3)doping *** can be attributed to the fact that the phase stability of tetragonal zirconia decreases with the decrease of Y_(2)O_(3)doping content,which is easier to induce"phase transformation toughening"and dissipate impact *** relative density,bending strength and fracture toughness of 2.0 mol%Y_(2)O_(3)doped zirconia ceramics(2.0Y-ZrO_(2))sintered at 1525℃are 99.00%,1256.65±20.82 MPa and 9.85±0.13 MPa·m^(1/2),respectively.

关键词： yttria-stabilized tetragonal zirconia polycrystal(Y-TZP)ceramics sintering behaviors mechanical properties

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肽的分离纯化及其降糖活性研究进展

高师理科学刊 2024年第7期44卷 74-76,82页

作者：郭倩王伟明赵明时志春兰星星齐丽颖齐齐哈尔大学化学与化学工程学院黑龙江齐齐哈尔161006 齐齐哈尔大学黑龙江省工业大麻加工技术创新中心黑龙江齐齐哈尔161006 黑龙江中医药科学院中药研究所黑龙江哈尔滨150036

糖尿病是因胰岛素分泌不足、血糖水平增高而导致的代谢疾病.肽作为一种生物活性物质可参与生物体内复杂的生理活性反应,调节细胞功能活动.且肽具有储量丰富、毒副作用小、分子量小、作用靶点明确、易吸收等优点.因此,肽可作为一种新的... 详细信息

糖尿病是因胰岛素分泌不足、血糖水平增高而导致的代谢疾病.肽作为一种生物活性物质可参与生物体内复杂的生理活性反应,调节细胞功能活动.且肽具有储量丰富、毒副作用小、分子量小、作用靶点明确、易吸收等优点.因此,肽可作为一种新的降糖药物被开发利用.针对肽的分离纯化方法(包括膜分离法、色谱法、电泳法等)进行了总结,并对肽在降糖活性方面的研究进行综述,以期为开发降糖新药提供参考依据.

关键词：肽分离纯化降糖活性

White blood cell count and the incidence of hyperuricemia:insights from a community-based study

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Frontiers of Medicine 2019年第6期13卷 741-746页

作者： Jian Liu Pingyan Shen Xiaobo Ma Xialian Yu Liyan Ni Xu Hao weiming wang Nan Chen Department of Nephrology Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghai 200025China Institute of Nephrology Shanghai Jiao Tong University School of MedicineShanghai 200025China

Hyperuricemia(HUA)is a risk factor for chronic kidney disease(CKD).The relationship between HUA and white blood cell(WBC)count remains unknown.A sampling survey for CKD was conducted in Sanlin community in 2012 and *** was defined as proteinuria in at least the microalbuminuric stage or an estimated GFR of 60 mL/(min·1.73 m2).HUA was defined as serum uric acid>420µmol/L in men and>360µmol/L in *** study included 1024 *** prevalence of HUA was 17.77%.Patients with HUA were more likely to have higher levels of WBC count,which was positively associated with HUA *** association was also observed in participants without CKD,diabetes mellitus,hyperlipidemia,or *** logistic regression analysis showed that WBC count was independently associated with the risk for HUA in male and female *** with participants without HUA,inflammatory factors such as high-sensitivity C-reactive protein,tumor necrosis factor-α,and interleukin 6 increased in participants with ***,WBC count is positively associated with HUA,and this association is independent of conventional risk factors for CKD.

关键词： white blood cell count hyperuricemia chronic kidney disease inflammation

米泔水制桔梗优势菌的分离鉴定及纯种发酵桔梗对桔梗皂苷D含量的影响

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食品与发酵工业 2024年第19期50卷 81-86页

作者：陈丽艳贾智超于鑫鑫丁纯洁孙银玲郑宏宇赵娢王伟明黑龙江省中医药科学院黑龙江哈尔滨150036

分离鉴定米泔水制桔梗炮制液中的优势菌,考察各优势菌发酵桔梗对桔梗皂苷D含量的影响。用米泔水炮制桔梗,利用MRS培养基分离纯化炮制液中的优势菌,通过革兰氏染色、过氧化氢酶实验及16S rDNA测序技术鉴定分离的菌株,采用单菌种发酵桔梗... 详细信息

分离鉴定米泔水制桔梗炮制液中的优势菌,考察各优势菌发酵桔梗对桔梗皂苷D含量的影响。用米泔水炮制桔梗,利用MRS培养基分离纯化炮制液中的优势菌,通过革兰氏染色、过氧化氢酶实验及16S rDNA测序技术鉴定分离的菌株,采用单菌种发酵桔梗,通过HPLC法测定桔梗皂苷D的含量。分离获得3株乳酸菌,分别为食窦魏斯氏菌、肠球菌和假肠膜明串珠菌,3株菌纯种发酵桔梗,桔梗皂苷D的含量均高于未发酵桔梗,其中前两株菌发酵桔梗提取液中桔梗皂苷D含量分别提高了8.19%和10.72%。米泔水制桔梗炮制液中以乳酸菌为优势菌群,纯种发酵桔梗提高了桔梗皂苷D的含量,推测米泔水制桔梗过程中可能存在微生物转化进而增强其活性。

关键词：桔梗米泔水炮制优势菌纯种发酵桔梗皂苷D

Lightweight Steganography Detection Method Based on Multiple Residual Structures and Transformer

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Chinese Journal of Electronics 2024年第4期33卷 965-978页

作者： Hao LI Yi ZHANG Jinwei wang weiming ZHANG Xiangyang LUO Key Laboratory of Cyberspace Situation Awareness of Henan Province Nanjing University of Information Science & Technology University of Science and Technology of China

Existing deep learning-based steganography detection methods utilize convolution to automatically capture and learn steganographic features, yielding higher detection efficiency compared to manually designed steganography detection methods. Detection methods based on convolutional neural network frameworks can extract global features by increasing the network's depth and width. These frameworks are not highly sensitive to global features and can lead to significant resource consumption. This manuscript proposes a lightweight steganography detection method based on multiple residual structures and Transformer(Res Former). A multi-residuals block based on channel rearrangement is designed in the preprocessing layer. Multiple residuals are used to enrich the residual features and channel shuffle is used to enhance the feature representation capability. A lightweight convolutional and Transformer feature extraction backbone is constructed, which reduces the computational and parameter complexity of the network by employing depth-wise separable convolutions. This backbone integrates local and global image features through the fusion of convolutional layers and Transformer, enhancing the network's ability to learn global features and effectively enriching feature diversity. An effective weighted loss function is introduced for learning both local and global features, Bias Loss loss function is used to give full play to the role of feature diversity in classification, and cross-entropy loss function and contrast loss function are organically combined to enhance the expression ability of features. Based on Boss Base-1.01, BOWS2 and ALASKA#2, extensive experiments are conducted on the stego images generated by spatial and JPEG domain adaptive steganographic algorithms, employing both classical and state-of-theart steganalysis techniques. The experimental results demonstrate that compared to the SRM, SRNet, Sia Steg Net,CSANet, LWENet, and Sia IRNet methods, the proposed Res

关键词： Q-factor Steganography Accuracy Convolution Computational modeling Transform coding Transformers

On the use of explainable AI for susceptibility modeling:Examining the spatial pattern of SHAP values

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Geoscience Frontiers 2024年第4期15卷 14-27页

作者： Nan wang Hongyan Zhang Ashok Dahal weiming Cheng Min Zhao Luigi Lombardo Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains Ministry of EducationSchool of Geographical SciencesNortheast Normal UniversityChangchun 130024China State Key Laboratory of Resources and Environmental Information Systems Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China University of Twente Faculty of Geo-Information Science and Earth Observation(ITC)PO Box 217EnschedeAE 7500Netherlands University of Chinese Academy of Sciences Beijing 100049China Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application Nanjing 210023China Collaborative Innovation Center of South China Sea Studies Nanjing 210093China State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal UniversityBeijing 100875China Key Laboratory of Environmental Change and Natural Disaster Beijing Normal UniversityBeijing 100875China Center for Geodata and Analysis Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China

Hydro-morphological processes(HMP,any natural phenomenon contained within the spectrum defined between debris flows and flash floods)are globally occurring natural hazards which pose great threats to our society,leading to fatalities and economical *** this reason,understanding the dynamics behind HMPs is needed to aid in hazard and risk *** this work,we take advantage of an explainable deep learning model to extract global and local interpretations of the HMP occurrences across the whole Chinese *** use a deep neural network architecture and interpret the model results through the spatial pattern of SHAP *** doing so,we can understand the model prediction on a hierarchical basis,looking at how the predictor set controls the overall susceptibility as well as doing the same at the level of the single mapping *** model accurately predicts HMP occurrences with AUC values measured in a ten-fold cross-validation ranging between 0.83 and *** level of predictive performance attests for an excellent prediction *** main difference with respect to traditional statistical tools is that the latter usually lead to a clear interpretation at the expense of high performance,which is otherwise reached via machine/deep learning solutions,though at the expense of *** recent development of explainable Al is the key to combine both *** this work,we explore this combination in the context of HMP susceptibility ***,we demonstrate the extent to which one can enter a new level of data-driven interpretation,supporting the decision-making process behind disaster risk mitigation and prevention actions.

关键词： Hydro-morphological processes SHAP maps Explainable AI China