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Design of a novel hybrid quantum deep neural network in INEQR images classification

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Chinese Physics B 2024年第6期33卷 230-238页

作者：王爽王柯涵程涛赵润盛马鸿洋郭帅 School of Information and Control Engineering Qingdao University of TechnologyQingdao 266033China School of Sciences Qingdao University of TechnologyQingdao 266033China

We redesign the parameterized quantum circuit in the quantum deep neural network, construct a three-layer structure as the hidden layer, and then use classical optimization algorithms to train the parameterized quantum circuit, thereby propose a novel hybrid quantum deep neural network(HQDNN) used for image classification. After bilinear interpolation reduces the original image to a suitable size, an improved novel enhanced quantum representation(INEQR) is used to encode it into quantum states as the input of the HQDNN. Multi-layer parameterized quantum circuits are used as the main structure to implement feature extraction and classification. The output results of parameterized quantum circuits are converted into classical data through quantum measurements and then optimized on a classical computer. To verify the performance of the HQDNN, we conduct binary classification and three classification experiments on the MNIST(modified National Institute of Standards and Technology) data set. In the first binary classification, the accuracy of 0 and 4 exceeds98%. Then we compare the performance of three classification with other algorithms, the results on two datasets show that the classification accuracy is higher than that of quantum deep neural network and general quantum convolutional neural network.

关键词： quantum computing image classification quantum–classical hybrid neural network quantum image representation interpolation

Development of a High-throughput Sequencing Platform for Detection of Viral Encephalitis Pathogens Based on Amplicon Sequencing

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Biomedical and Environmental Sciences 2024年第3期37卷 294-302页

作者： ZHANG Ya Li SU Wen Zhe WANG Rui Chen LI Yan ZHANG Jun Feng LIU sheng Hui HU Dan He XU Chong Xiao YIN Jia Yu YIN Qi Kai HE Ying LI Fan FU Shi Hong NIE Kai LIANG Guo Dong tao Yong XU Song tao MA Chao Feng WANG Huan Yu Shaanxi University of Chinese Medicine Xianyang 712000ShaanxiChina National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and PreventionBeijing 102206China Guangzhou Center for Disease Control and Prevention Guangzhou 510000GuangdongChina Shandong Center for Disease Control and Prevention Jinan 250000ShandongChina Department of Ophthalmology Beijing Chaoyang HospitalCapital Medical UniversityBeijing 100020China Xi'an Center for Disease Control and Prevention Xi’an 710054ShaanxiChina

Objective Viral encephalitis is an infectious disease severely affecting human *** is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other *** laboratory diagnosis of viral encephalitis is a worldwide ***,high-throughput sequencing technology has provided new tools for diagnosing central nervous system ***,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon *** We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant *** detection ability of the primers was verified by software simulation and the detection of known positive *** sequencing was used to validate the samples,and consistency was compared with Sanger *** The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted *** sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger *** Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral *** is also a useful tool for the high-volume screening of clinical samples.

关键词： Viral encephalitis Amplicon sequencing High-throughput sequencing Multipathogen detection

Small molecule deoxynyboquinone triggers alkylation and ubiquitination of Keap1 at Cys489 on Kelch domain for Nrf2 activation and inflammatory therapy

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Journal of Pharmaceutical Analysis 2024年第3期14卷 401-415页

作者： Ke-Gang Linghu Tian Zhang Guang-tao Zhang Peng Lv Wen-Jun Zhang Guan-Ding Zhao Shi-Hang Xiong Qiu-Shuo Ma Ming-Ming Zhao Meiwan Chen Yuan-Jia Hu Chang-sheng Zhang Hua Yu State Key Laboratory of Quality Research in Chinese Medicine Institute of Chinese Medical SciencesUniversity of MacaoMacao SARChina Macao Centre for Research and Development in Chinese Medicine Institute of Chinese Medical SciencesUniversity of MacaoMacao SARChina Key Laboratory of Tropical Marine Bio-resources and Ecology Guangdong Key Laboratory of Marine Materia MedicaRNAM Center for Marine MicrobiologySouth China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou510301China State Key Laboratory of Functions and Applications of Medicinal Plants&School of Pharmaceutical Sciences Guizhou Medical UniversityGuiyang550025China

Activation of nuclear factor erythroid 2-related factor 2(Nrf2)by Kelch-like ECH-associated protein 1(Keap1)alkylation plays a central role in anti-inflammatory ***,activators of Nrf2 through alkylation of Keap1-Kelch domain have not been ***(DNQ)is a natural small molecule discovered from marine *** current study was designed to investigate the anti-inflammatory effects and molecular mechanisms of DNQ via alkylation of *** exhibited significant anti-inflammatory properties both in vitro and in *** pharmacophore responsible for the anti-inflammatory properties of DNQ was determined to be theα,β-unsaturated amides moieties by a chemical reaction between DNQ and *** exerted anti-inflammatory effects through activation of Nrf2/ARE ***1 was demonstrated to be the direct target of DNQ and bound with DNQ through conjugate addition reaction involving *** specific alkylation site of DNQ on Keap1 for Nrf2 activation was elucidated with a synthesized probe in conjunction with liquid chromatography-tandem mass *** triggered the ubiquitination and subsequent degradation of Keap1 by alkylation of the cysteine residue 489(Cys489)on Keap1-Kelch domain,ultimately enabling the activation of *** findings revealed that DNQ exhibited potent anti-inflammatory capacity throughα,β-unsaturated amides moieties active group which specifically activated Nrf2 signal pathway via alkylation/ubiquitination of Keap1-Kelch domain,suggesting the potential values of targeting Cys489 on Keap1-Kelch domain by DNQ-like small molecules in inflammatory therapies.

关键词： Deoxynyboquinone Anti-inflammation Target Keap1/Nrf2 Alkylation Ubiquitination

Prenatal Environmental Antibiotic Exposure and Autism Spectrum Disorder Symptoms in Children at 3 Years of Age:Findings from the Ma’anshan Birth Cohort Study

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Environment & Health 2024年第9期2卷 651-660页

作者： Baolin Wang Feifei Han Peng Ding Juan Tong Kaiyong Liu Shuangqin Yan sheng Wang Guanjun Chen Xiaoyan Wu Kun Huang Menglong Geng Fangbiao tao School of Public Health Anhui Medical UniversityHefei 230032 AnhuiChina Key Laboratory of Population Health Across Life Cycle(Anhui Medical University) Ministry of Education of the People’s Republic of ChinaHefei 230032 AnhuiChina NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract(Anhui Medical University) Hefei 230032 AnhuiChina Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course Anhui Medical UniversityHefei 230032 AnhuiChina Ma’anshan Maternal and Child Healthcare(MCH)Center Ma’anshan 243011China The Center for Scientific Research of Anhui Medical University Anhui Medical UniversityHefei 230032 AnhuiChina

ABSTRACT:Antibiotic exposure during pregnancy may affect the neurodevelopment of children,but biomonitoring-based population studies on this class of new pollutants are *** conducted a prospective birth cohort study of 2860 mother−child pairs,measured the urinary concentrations of 41 antibiotics and their two metabolites over three trimesters,and assessed children’s autism spectrum disorder(ASD)symptoms at 3 years of *** examined the associations between prenatal antibiotic exposure and children’s ASD *** least absolute shrinkage and selection operator regression screened for Tetracycline and Ofloxacin as important predictors of ASD *** Poisson regression models revealed that maternal Tetracycline exposure throughout pregnancy increased the risk of ASD symptoms(RR:1.66,95%CI:1.14,2.40).Maternal Tetracycline exposure during the first(RR:1.74,95%CI:1.13,2.68)and third trimesters(RR:1.86,95%CI:1.16,3.00)increased the risk of ASD symptoms in boys,and Ofloxacin exposure during the first trimester(RR:1.47,95%CI:1.07,2.02)increased the risk of ASD symptoms in *** dose-dependent relationships between prenatal antibiotic exposure and ASD symptoms were validated by restricted cubic *** exposure to Tetracycline and Ofloxacin may increase the risk of ASD symptoms in children,and the first and third trimesters might be the key windows.

关键词： Antibiotics Biomonitoring Urine biomarkers Prenatal exposure Autism Birth cohort

Study on Detection of Antibiotic Contents in Water around Landfill Sites

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Agricultural Biotechnology 2024年第2期13卷 33-37页

作者： Sha FENG Dandan LIU Juan LUO Qing LI tao mo Zheng LIU Xiaonan ZOU Guangzhou GRG Metrology&Test(Hunan)Co. Ltd.Changsha 410007China Anhua Administration for Market Regulation Yiyang 413500China Guizhou Engineering Vocational College Tongren 565200China

[Objectives] An ultra performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method was established for simultaneous determination of 26 antibiotics in the water around landfills. [Methods] After an HLB solid-phase extraction column was activated, and a water sample, which was adjusted with phosphoric acid to a pH of (2±0.5) and added with 500 mg of disodium EDTA, was loaded, and 5 ml of water and 20% methanol water was added for washing. Next, 10 ml of elution solution was added for elution, and the collected eluate was evaporated under reduced pressure at 40 ℃ to near dryness, and 1 ml of reconstitution solution was added to a constant volume. An ACQUITY UPLC BEH C18 (100 mm×2.1 mm, 2.6 μm) chromatographic column was adopted for LC separation by gradient elution with 0.1% formic acid aqueous solution-acetonitrile as the mobile phase. For MS detection, the MRM mode was adopted for collection, and the positive and negative ion modes were switched for simultaneous determination, and the internal standard method was used for quantification. [Results] The correlation coefficient R2 was greater than 0.99 in the linear range of each target substance. The limits of detection ranged from 0.15 to 3.00 ng/L, and the limits of quantitation were between 0.80 and 10.00 ng/L, and the recoveries ranged from 77.9% to 104.85%. [Conclusions] The method has high sensitivity, good accuracy and strong practical value.

关键词： Landfill Antibiotics Ultra high performance liquid chromatography-tandem mass spectrometry

Facile molybdenum and aluminum recovery from spent hydrogenation catalyst

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Chinese Journal of Chemical Engineering 2024年第5期69卷 72-78页

作者： Zhenhui Lv Jianan Li Dong Xue tao Yang Gang Wang Chong Peng State Key Laboratory of Fine Chemicals School of Chemical EngineeringDalian University of TechnologyDalian 116024China Dalian Research Institute of Petroleum and Petrochemicals SINOPECDalian 116041China

Industrial catalyst waste has emerged as a hazardous pollutant that requires safe and proper disposal after the unloading *** a valuable and sustainable strategy for its treatment is a significant challenge compared to traditional *** this study,we present a facile method for the recovery of molybdenum and aluminum contents from spent mo-Ni/Al_(2)O_(3) hydrogenation catalysts through crystallization separation and ***,the recovered molybdenum and aluminum are utilized as active metals and carriers for the preparation of new *** properties were thoroughly analyzed and investigated using various characterization *** hydrogenation activity of these newly prepared catalysts was evaluated on a fixed-bed small-scale device and compared with a reference catalyst synthesized from commercial raw ***,the hydrogenation activity of the catalysts was further assessed by using the entire distillate oil of coal liquefaction as the raw oil,specifically focusing on denitrogenation and aromatic *** work not only offers an effective solution for recycling catalysts but also promotes sustainable development.

关键词： Waste treatment Alumina Hydrogenation Catalyst Crystallization Precipitation

Accelerating H^(*)desorption of hollow mo_(2)C nanoreactor via in-situ grown carbon dots for electrocatalytic hydrogen evolution

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Journal of Energy Chemistry 2024年第9期96卷 464-471页

作者： Mengmeng Liu Yuanyuan Jiang Zhuwei Cao Lulu Liu Hong Chen sheng Ye School of Materials and Chemistry Anhui Agricultural UniversityHefei 230036AnhuiChina

molybdenum carbide(mo_(2)C)is a promising non-noble metal electrocatalyst with electronic structures similar to Pt for hydrogen evolution reaction(HER).However,strong H^(*)adsorption at the mo sites hinders the improvement of HER ***,we synthesized monodisperse hollow mo_(2)C nanoreactors,in which the carbon dots(CD)were in situ formed onto the surface of mo_(2)C through carburization *** to finite element simulation and analysis,the CD@mo_(2)C possesses better mesoscale diffusion properties than mo_(2)C *** optimized CD@mo_(2)C nanoreactor demonstrates superior HER performance in alkaline electrolyte with a low overpotential of 57 mV at 10 mA cm^(−2),which is better than most mo_(2)C-based ***,CD@mo_(2)C exhibits excellent electrochemical stability during 240 h,confirmed by operando Raman and X-ray diffraction(XRD).Density functional theory(DFT)calculations show that carbon dots cause the d-band center of CD@mo_(2)C to shift away from Fermi level,promoting water dissociation and the desorption of H^(*).This study provides a reasonable strategy towards high-activity mo-based HER eletrocatalysts by modulating the strength of mo–H bonds.

关键词： mo_(2)C nanoreactor Carbon dots H^(*)desorption Electrocatalytic hydrogen evolution

Crosstalk between RNA m^(6)A modification and epigenetic factors in plant gene regulation

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Plant Communications 2024年第10期5卷 45-58页

作者： Jianzhong Hu tao Xu Hunseung Kang Guangdong Provincial Key Laboratory for Plant Epigenetics Longhua Bioindustry and Innovation Research InstituteCollege of Life Sciences and OceanographyShenzhen UniversityShenzhenGuangdong 518060China Jiangsu Key Laboratory of Genomics School of Life SciencesJiangsu Normal UniversityXuzhouJiangsu Province 221116China Department of Applied Biology College of Agriculture and Life SciencesChonnam National UniversityGwangju 61186Korea

N^(6)-methyladenosine(m^(6)A)is the most abundant modification observed in eukaryotic *** in transcriptome-wide m^(6)A mapping and sequencing technologies have enabled the identification of several conserved motifs in plants,including the RRACH(R=A/G and H=A/C/U)and UGUAW(W=U or A)***,the mechanisms underlying deposition of m^(6)A marks at specific positions in the conserved motifs of individual transcripts remain to be *** from plant and animal studies suggests that m^(6)A writer or eraser components are recruited to specific genomic loci through interactions with particular transcription factors,5-methylcytosine DNA methylation marks,and histone *** addition,recent studies in animal cells have shown that microRNAs play a role in depositing m^(6)A marks at specific sites in transcripts through a base-pairing mechanism.m^(6)A also affects the biogenesis and function of chromatin-associated regulatory RNAs and long noncoding *** we have less of an understanding of the link between m^(6)A modification and epigenetic factors in plants than in animals,recent progress in identifying the proteins that interact with m^(6)A writer or eraser components has provided insights into the crosstalk between m^(6)A modification and epigenetic factors,which plays a crucial role in transcript-specific methylation and regulation of m^(6)A in plants.

关键词： RNA methylation DNA methylation histone modification epigenetics microRNA long noncoding RNA

视觉语言模型引导的文本知识嵌入的小样本增量学习

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软件学报 2024年第5期35卷 2101-2119页

作者：姚涵涛余璐徐常胜多模态人工智能系统全国重点实验室(中国科学院自动化研究所) 北京100190 中国科学院大学人工智能学院北京100049 天津理工大学计算机科学与工程学院天津300384

真实场景往往面临数据稀缺和数据动态变化的问题,小样本增量学习的目的是利用少量数据推理数据知识并减缓模型对于旧知识的灾难性遗忘.已有的小样本增量学习的算法(CEC和FACT等)主要是利用视觉特征来调整特征编码器或者分类器,实现模型... 详细信息

真实场景往往面临数据稀缺和数据动态变化的问题,小样本增量学习的目的是利用少量数据推理数据知识并减缓模型对于旧知识的灾难性遗忘.已有的小样本增量学习的算法(CEC和FACT等)主要是利用视觉特征来调整特征编码器或者分类器,实现模型对于新数据的迁移和旧数据的抗遗忘.但是少量数据的视觉特征往往难以建模一个类别的完整特征分布,导致上述算法的泛化能力较弱.相比于视觉特征,图像类别描述的文本特征具有较好的泛化性和抗遗忘性.因此,在视觉语言模型的基础上,研究基于文本知识嵌入的小样本增量学习,通过在视觉特征中嵌入具有抗遗忘能力的文本特征,实现小样本增量学习中新旧类别数据的有效学习.具体而言,在基础学习阶段,利用视觉语言模型抽取图像的预训练视觉特征和类别的文本描述,并通过文本编码器实现预训练视觉特征到文本空间的映射.进一步利用视觉编码器融合学习到的文本特征和预训练视觉特征抽象具有高辨别能力的视觉特征.在增量学习阶段,提出类别空间引导的抗遗忘学习,利用旧数据的类别空间编码和新数据特征微调视觉编码器和文本编码器,实现新数据知识学习的同时复习旧知识.在4个数据集(CIFAR-100,CUB-200,Car-196和mini Image Net)上验证算法的有效性,证明基于视觉语言模型文本知识嵌入可以在视觉特征的基础上进一步提升小样本增量学习的鲁棒性.

关键词：小样本增量学习视觉语言模型文本知识嵌入类别空间引导的抗遗忘学习