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Journal of Pharmaceutical Analysis 2024年第2期14卷 211-224页

作者： Jingjing Wang Qi Su Kun Chen Qing Wu Jiayan Ren Wenjuan Tang Yu Hu Zeren Zhu Cheng Cheng Kaihui tu Huaizhen He Yanmin Zhang School of Pharmacy Health Science CenterXi'an Jiaotong UniversityXi'an710061China

Hepatocellular carcinoma (HCC) is one of the most common tumor types and remains a major clinical challenge. Increasing evidence has revealed that mitophagy inhibitors can enhance the effect of chemotherapy on HCC. However, few mitophagy inhibitors have been approved for clinical use in humans. Pyrimethamine (Pyr) is used to treat infections caused by protozoan parasites. Recent studies have reported that Pyr may be beneficial in the treatment of various tumors. However, its mechanism of action is still not clearly defined. Here, we found that blocking mitophagy sensitized cells to Pyr-induced apoptosis. Mechanistically, Pyr potently induced the accumulation of autophagosomes by inhibiting autophagosome-lysosome fusion in human HCC cells. In vitro and in vivo studies revealed that Pyr blocked autophagosome-lysosome fusion by upregulating BNIP3 to inhibit synaptosomal-associated protein 29 (SNAP29)-vesicle-associated membrane protein 8 (VAMP8) interaction. Moreover, Pyr acted synergistically with sorafenib (Sora) to induce apoptosis and inhibit HCC proliferation in vitro and in vivo. Pyr enhances the sensitivity of HCC cells to Sora, a common chemotherapeutic, by inhibiting mitophagy. Thus, these results provide new insights into the mechanism of action of Pyr and imply that Pyr could potentially be further developed as a novel mitophagy inhibitor. Notably, Pyr and Sora combination therapy could be a promising treatment for malignant HCC.

关键词： Pyrimethamine BNIP3 SNARE Autophagosome-lysosome fusion Hepatocellular carcinoma Sorafenib

Reversibly size-switchable polyion complex micelles for antiangiogenic cancer therapy

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Chinese Chemical Letters 2024年第7期35卷 377-382页

作者： Mengjuan Sun Muye Zhou Yifang Xiao Hailei Tang Jinhua Chen Ruitao Zhang Chunjiayu Li Qi Ya Qian Chen Jiasheng tu Qiyue Wang Chunmeng Sun NMPA Key Laboratory for Research and Evaluation of Pharmaceutical Preparations and Excipients China Pharmaceutical UniversityNanjing 210009China State Key Laboratory of Natural Medicines China Pharmaceutical UniversityNanjing 211198China Department of Pharmaceutics School of PharmacyChina Pharmaceutical UniversityNanjing 211198China Jiangsu Provincial Key Laboratory of Drug Metabolism and Pharmacokinetics China Pharmaceutical UniversityNanjing 210009China School of Pharmaceutical Science Nanjing Tech UniversityNanjing 211816China

Size is one of the most important characteristics of nanoparticles to influence their biodistribution and antitumoral *** with large sizes have difficulty in deep tumor penetration,while small particles are easily removed from tumor tissues due to the high tumor interstitial fluid *** address these issues,an intelligent core-crosslinked polyion complex micelle(cPCM)with a reversibly sizeswitchable feature was engineered in this *** micelles are consisting of methoxy poly(ethylene glycol)-poly(D,L-lactide)copolymer(mPEG-PLA),mPEG-PLA-(HE)6CC,and mPEG-PLA-(RG)6CC at an optimal mass ratio of 6:1:1 with an antiangiogenic compound,dabigatran etexilate(DE),*** net charge inside the micelles is switchable when exposed to different pH conditions,thereby leading to revisable size-change of ***-loaded micelles(DE@cPCM)can swell and release drugs at the tumor sites with a mildly acidic pH,while they shrink and protect the cargo from leaking into the blood circulation with a neutral *** indicated that DE@cPCM can inhibit tumor angiogenesis in vitro and in vivo,thereby efficiently restraining tumor growth in a 4T1-bearing mouse ***,the sizeswitchable cPCM is a promising nanoplatform for targeting delivery of anticarcinogens into the matrix of tumor tissues.

关键词： Polyion complex micelle Size-switchable Revisable size-change pH response Antiangiogenic cancer

Exploring the Power of Entangled Data in Quantum Machine Learning

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Wuhan University Journal of Natural Sciences 2024年第3期29卷 193-194页

作者： WANG Xinbiao DU Yuxuan tu Zhuozhuo LUO Yong YUAN Xiao TAO Dacheng Institute of Artificial Intelligence School of Computer ScienceWuhan UniversityWuhan 430072HubeiChina National Engineering Research Center for Multimedia Software Wuhan UniversityWuhan 430072HubeiChina JD Explore Academy Beijing 101111China School of Computer Science and Engineering Nanyang Technological UniversitySingapore 639798Singapore School of Computer Science Faculty of EngineeringUniversity of SydneyNSW 2008Australia Center on Frontiers of Computing Studies Peking UniversityBeijing 100871China School of Computer Science Peking UniversityBeijing 100871China

Quantum entanglement is a key resource for achieving superiority of quantum ***,scientists are extensively focusing on how to integrate quantum entanglement into various components of quantum machine learning(QML)models,aiming to surpass the performance of traditional machine learning *** successes include the use of entangled measurements^([1-3])and entangled channels^([4]),which have been shown to reduce query complexity or improve the prediction precision for specified QML *** entangled data,capable of encoding more information compared to classical data of the same size,is recognized for its potential to achieve quantum ***,the impact of the entanglement degree in quantum data on model performance remains a challenging and unresolved research question.

关键词： quantum specified integrate

Intracellular redox potential-driven live-cell synthesis of CdSe quantum dots in Staphylococcus aureus

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Science China Chemistry 2024年第3期67卷 990-999页

作者： Cai-Qin Wu An-An Liu Xu Li Jia-Wei tu Juan Kong Ling-Ling Yang Jian-Hong Jia Chuan Wang Bin Hu Zhi-Xiong Xie Dai-Wen Pang The Institute for Advanced Studies College of Chemistry and Molecular SciencesCollege of Life SciencesHubei Key Laboratory of Cell HomeostasisWuhan UniversityWuhan 430072China Research Center for Analytical Sciences College of ChemistryState Key Laboratory of Medicinal Chemical BiologyTianjin Key Laboratory of Biosensing and Molecular RecognitionFrontiers Science Center for New Organic MatterFrontiers Science Center for Cell Responsesand Haihe Laboratory of Sustainable Chemical TransformationsNankai UniversityTianjin 300071China

Biosynthesized semiconductor quantum dots(QDs) have bright fluorescence,adjustable particle sizes,and environmental friendliness,endowing them with convenience and potential for biological *** to the unclear mechanism of the cellular environment on the live-cell synthesis of QDs,it is still difficult to regulate their optical ***,the critical role of the intracellular redox environment in regulating the fluorescence properties of biosynthesized CdSe QDs in Staphylococcus aureus(***) has been *** glutathione peroxidase(GPx) activity directly affects the intracellular H_(2)O_(2) produced in the SeO_(3)^(2-) reduction,which further manipulates the glutathione redox cycle to determine the content of low-valence *** a result,the fluorescence intensity of the synthesized CdSe QDs increases by 60% in the GPx overexpressed *** cellular redox potential that is controlled by the GSH redox cycle provides the driving force for the reduction of SeO_(3)^(2-),facilitating the synthesis of CdSe QDs in *** *** proposed mechanism of the cellular redox state provides a new perspective for regulating the synthesis of semiconductor nanomaterials in live cells.

关键词： redox H_(2)O_(2) peroxidase quantum dot Staphylococcus aureus

Coupling N-doping and confined Co3O4 on carbon nanotubes by polydopamine coating strategy for pleiotropic water purification

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Rare Metals 2024年第7期43卷 3146-3160页

作者： Wen-Long tu Gang Wang Yue Zhang Hong-Yang Zhu Rong-Rong Du Hong-Yao Zhao Sheng Tang Zeng-Jing Guo Jun Yang Fu Yang Cheng-Zhang Zhu School of Environmental and Chemical Engineering Jiangsu University of Science and Technology School of Chemistry and Chemical Engineering Liaocheng University School of Material Science and Engineering Jiangsu University of Science and Technology School of Environmental Science and Engineering Nanjing Tech University

The development of effective and sustainable solutions for pleiotropic water purification becomes urgent and *** Fenton-like catalysts for activation of peroxymonosulfate（PMS） to purify organic wastewater show great *** this work,by tuning metal loading with an in-situ polydopamine coating strategy,oxygen vacancy-enriched Co3O4loading on N-doped carbon nanotubes（CNTs） were constructed to enhance PMS activation efficiency for pollutants ***,the obtained modified CNTs afford a well-developed N-containing network structure,which is further endowed with abundant Co（Ⅱ）/Co（Ⅲ） redox cycles and significant metal-carbon *** particular,the surface N doping in CNTs might induce the oriented enrichment of pollutants around the catalyst,which reduces the migration distance and correspondingly improves the utilization of reactive oxidative *** electron transfer efficiency of the catalyst can be further improved by incorporating oxygen vacancy-enriched *** performance results show that the optimal NC/Co-1 could mineralize 20 × 10-6of bisphenol A（BPA） by almost 98% in 8 min.A low reaction activation energy(26.05 kJ·mol-1) in BPA degradation was demonstrated by the NC/*** importantly,NC/Co-1 can inherit excellent degradation performance towards oxytetracycline,2,4-dichlorophenol,and tetracycline,showing wide practical *** addition,by virtue of the photothermal conversion property,NC/Co-1 achieves an additive function for interfacial solar water evaporation(1.84 kg·m-2·h-1,112.51%),showing impressive potential for clean water recovery under complicated environmental pollution conditions.

关键词： Carbon nanotube Advanced oxidation process Co 3 O 4 Photothermal conversion Solar water evaporation

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基于机器学习和资产特征的投资组合选择研究

系统工程理论与实践 2024年第1期44卷 338-355页

作者：李斌屠雪永武汉大学经济与管理学院武汉430072 武汉大学金融研究中心武汉430072

随着可投资资产与资产信息的爆炸式增长,投资组合选择研究面临资产和特征双重高维挑战.为此,本文提出一个基于机器学习和资产特征的投资组合选择框架,该框架借助机器学习技术的天然优势,运用高维特征直接预测投资组合权重,避开了常规的... 详细信息

随着可投资资产与资产信息的爆炸式增长,投资组合选择研究面临资产和特征双重高维挑战.为此,本文提出一个基于机器学习和资产特征的投资组合选择框架,该框架借助机器学习技术的天然优势,运用高维特征直接预测投资组合权重,避开了常规的两步投资组合管理范式中的收益预测过程,并用于中国股票市场的资产配置研究.结果显示:1)基于此框架提出的投资策略能够捕捉高维特征中的增量信息,并挖掘资产特征与投资权重之间线性与非线性关系,大幅提升了投资绩效;2)交易摩擦类特征是投资权重预测中最为重要的资产特征;3)策略在套利限制较为严重的股票上回报更高,而对宏观经济状态变化的敏感性较低;在其他经济约束下,策略表现依然稳健.本文拓展了现代投资组合理论的研究框架,促进了人工智能与量化投资领域的交叉融合发展.

关键词：投资组合选择人工智能资产特征大维资产配置量化投资

Ecological Networks of Allometric Growth,Feeding Behavior and Gut Microbiota in Chinese Alligator Hatchlings

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Asian Herpetological Research 2024年第2期15卷 104-114页

作者： Ke SUN Wengang LI Guangwei FAN Liuyang YANG Huabin ZHANG Yilin SHU Yongkang ZHOU Genjun tu Song ZHANG Pingsi YI Maliha AYUB Xiaobing WU Tao PAN College of Life Sciences Anhui Normal UniversityWuhu 241000AnhuiChina The Anhui Provincial Key Laboratory of Biodiversity Conservation and Ecological Security in the Yangtze River Basin Wuhu 241000AnhuiChina School of Wetland Yancheng Teachers UniversityYancheng 224007JiangsuChina National Long-term Scientific Research Base for Chinese Alligator Artificial Breeding and Protection in Anhui Anhui Research Center for Chinese Alligator ReproductionXuancheng 242034AnhuiChina

Chinese alligator hatchlings in captivity are fragile and have a high mortality rate within first *** body mass gain of reptile animals is closely related to their feeding behavior and gut *** study analyzed the intrinsic factors influencing the allometric growth of Chinese alligator hatchlings based on their body mass gain,feeding behavior,and gut *** information would enhance the health management of Chinese alligator *** was a significant correlation between the total distance moved,the average number of conspecifics nearby,and body mass *** alligator hatchlings with a greater growth rate showed greater activity and more independent behavior during feeding than those with a lower growth ***,after feeding started,some functions of the gut microbiota showed significant relationships with growth rate and feeding *** alligator hatchlings with a greater growth rate showed greater levels of heme biosynthesis than those with a lower growth rate,and feeding activity was inhibited by long-chain fatty acid *** results elucidate the relationships between health,feeding behavior,and the gut microbiota of Chinese alligator *** the intrinsic factors of their health and feeding behavior can improve the health management of Chinese alligator hatchlings in captivity for conservation.

关键词： allometric growth behavior Chinese alligator hatchlings gut microbiota

Identification of new cotton fiber-quality QTL by multiple genomic analyses and development of markers for genomic breeding

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The Crop Journal 2024年第3期12卷 866-879页

作者： Haozhe Tan Binghui Tang Mengling Sun Qiulu Yin Yizan Ma Jianying Li Pengcheng Wang Zhonghua Li Guannan Zhao Maojun Wang Xianlong Zhang Chunyuan You Lili tu National Key Laboratory of Crop Genetic Improvement Hubei Hongshan LaboratoryHuazhong Agricultural UniversityWuhan 430070HubeiChina Cotton Research Institute Shihezi Academy of Agriculture ScienceShihezi 832000XinjiangChina

Cotton fiber is one of the main raw materials for the textile *** recent years,many cotton fiber quality QTL have been identified,but few were applied in *** this study,a genome wide association study(GWAS)of fiber-quality traits in 265 upland cotton breeding intermediate lines(GhBreeding),combined with genome-wide selective sweep analysis(GSSA)and genomic selection(GS),revealed 25 *** of these QTL were ignored by only using *** CRISPR/Cas9 mutants of GhMYB_D13 had shorter fiber,which indicates the credibility of QTL to a certain *** these QTL were verified in other cotton natural populations,5 stable QTL were found having broad potential for application in ***,among these 5 stable QTL,superior genotypes of 4 showed an enrichment in most improved new varieties widely cultivated *** findings provide insights for how to identify more QTL through combined multiple genomic analysis to apply in breeding.

关键词： Cotton fiber quality breeding GWAS Genome-wide selective sweep analysis Genomic selection InDel markers

Theaflavin-3，3′-digallate alleviates glucolipotoxicity-induced insulin secretion dysfunction in pancreatic β-TC-6 cells and zebrafish via anti-ferroptotic mechanisms by activating SERCA2

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Food Science and Human Wellness 2024年

作者： Kaixi Wang Huanqing Zhu Jiaxin Kang Shuna Chen Puming He Youying tu Bo Li Department of Tea Science College of Agriculture and Biotechnology Zhejiang University

Theaflavins from black tea effectively improve insulin secretion in obesity and diabetes， but the molecular mechanisms are unclear. Here， the palmitic acid (PA)-induced pancreatic β-TC-6 cells and high fat-/high glucose-induced zebrafish were used. The effects of theaflavin-3，3′-digallate (TF3) on glucolipotoxicity-induced insulin secretion dysfunction， ferroptosis and endoplasmic reticulum (ER) stress were investigated by a variety of molecular biological approaches， inductively coupled plasma-mass spectrometry， transmission electron microscopy and widely targeted metabolomics analysis. TF3 was found to potently inhibit glucolipotoxicity-induced insulin secretion dysfunction and ferroptosis in β-TC-6 cells and zebrafish， with increasing glutathione peroxidase 4 (GPX4) expression， suppressing lipid peroxidation and iron accumulation and protecting mitochondria. Additionally， TF3 attenuated ER stress by regulating three unfolded protein response (UPR) pathways in β-TC-6 cells， and significantly modulated linoleic acid metabolism and L-kynurenine (Kyn) signalling in zebrafish. The expression of sarcoplasmic/endoplasmic reticulum calcium ATPase 2 (SERCA2) was obviously enhanced by TF3. Thapsigargin (Tg)， a SERCA2 inhibitor， remarkably reversed the effects of TF3 on insulin production， ferroptosis， ER stress and the Kyn signalling. Together， this work revealed for the first time the critical role of SERCA2 in ferroptosis regulation， and demonstrated TF3 targeted SERCA2 to inhibit ER stress and ferroptosis， thereby protecting β-cell secretory function from glucolipotoxicity.

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人工智能“技术回答”哲学基本问题的哲学叙事

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理论探讨 2024年第3期 135-142页

作者：涂良川华南师范大学马克思主义学院广东广州510631

在技术繁荣与加速发展的时代,直面思维与存在的关系问题,是紧迫而必要的哲学任务。人工智能作为人以自己的思维理解物、人和意识等存在而创造出来的物体系,其以功能的有效性、智能的类人性和体系的自洽性事实性地统一了思维与存在。人... 详细信息

在技术繁荣与加速发展的时代,直面思维与存在的关系问题,是紧迫而必要的哲学任务。人工智能作为人以自己的思维理解物、人和意识等存在而创造出来的物体系,其以功能的有效性、智能的类人性和体系的自洽性事实性地统一了思维与存在。人工智能所达到的思维与存在的统一,虽然是通过机械逻辑的可实现、电子逻辑的可控制和“类人逻辑”的可进化来实现的,但是以思维的社会历史性与实践性推进了对思维与存在的认知,并以社会历史性的人的对象化和物体化的方式来统一二者。人工智能作为人类工业、技术和文明发展的最新成果,其以技术建构的思维与存在的关系涵容了对思维与存在的最新理解,并以对思维与存在的最新理解现实感性地统一了思维与存在。虽然我们对人工智能未来的发展还有诸多争论,但是其以技术回答哲学基本问题的这一方式及其思想效应本身就表明一个事实:技术,特别是实现人思维判断的技术本身正在从根本上推动着我们对哲学基本问题的思考与回答。

关键词：人工智能哲学基本问题高阶自动化哲学叙事