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Diagnostic Classification of Lung Cancer Using Deep Transfer Learning Technology and Multi-Omics Data

Chinese Journal of Electronics 2021年第5期30卷 843-852页

作者： zhu Rong DAI Lingyun LIU Jinxing GUO ying School of Computer Science Qufu Normal University School of Automation Central South University

In recent years, with the increasing application of highthroughput sequencing technology,researchers have obtained and accumulated a large amount of multi-omics data, making it possible to diagnose cancer at the gene expression level. The proliferation of various omics data can provide a large amount of biological information, which brings new opportunities and great challenges as well to cancer classification and *** learning algorithms for early diagnosis of lung cancer have emerged that distinguish cancers of the early and late stages by using genomic features. Omics data are generally characterized with low sample size,high dimensionality and high noise. Therefore, simple direct application of common classification methods cannot achieve better performance and must be improved in a targeted manner. This paper puts forward a combined convolutional neural network and convolutional autoencoders approach to construct a deep migratory learning classification model for early lung cancer diagnosis. First,the convolutional auto-encoders algorithm is used to reduce the dimensionality of the dataset in order to make it better meet the requirements of migration ***, a neural network model is constructed with the original dataset and the existing labeled dataset, and the model migration rules are set as well. Finally, a small number of labeled target datasets are used in the training to complete the construction of the classification *** proposed convolutional neural network method based on model migration and five other popular machine learning models are used to classify and predict the three lung cancer gene datasets and the integrated *** experimental results show that such four evaluation metrics as accuracy, precision, recall, and f1-score with our proposed method have obtained better prediction performance, and the average area under curve result also shows our proposed method is optimal.

关键词： machine learning models early stages genetics lung image classification convolutional autoencoder approach patient diagnosis genomics cancer cancer classification labeled target datasets late stages gene expression level image coding multiomics data deep learning (artificial intelligence) diagnostic classification early diagnosis omics data lung cancer diagnosis convolutional neural network method bioinformatics combined convolutional neural network model migration rules migration learning integrated dataset deep migratory learning classification model machine learning algorithms lung cancer gene datasets high-throughput sequencing technology deep transfer learning technology diagnostic radiography

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Devising optimal integration test orders using cost-benefit analysis

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Frontiers of Information Technology & Electronic Engineering 2022年第5期23卷 692-714页

作者： Fanyi MENG ying WANG Hai YU Zhiliang zhu Software College Northeastern UniversityShenyang 110169China State Key Lab for Novel Software Technology Nanjing UniversityNanjing 210023China

Integration testing is an integral part of software *** studies have focused on reducing test cost in integration test order ***,there are no studies concerning the testing priorities of critical classes when generating integration test *** priorities greatly affect testing *** this study,we propose an effective strategy that considers both test cost and efficiency when generating test *** to a series of dynamic execution scenarios,the software is mapped into a multi-layer dynamic execution network(MDEN)*** analyzing the dynamic structural complexity,an evaluation scheme is proposed to quantify the class testing priority with the defined class risk ***–benefit analysis is used to perform cycle-breaking operations,satisfying two principles:assigning higher priorities to higher-risk classes and minimizing the total complexity of test *** also present a strategy to evaluate the effectiveness of integration test order algorithms by calculating the reduction of software risk during their testing *** results show that our approach performs better across software of different scales,in comparison with the existing algorithms that aim only to minimize test ***,we implement a tool,ITOsolution,to help practitioners automatically generate test orders.

关键词： Integration test order Cost–benefit analysis Probabilistic risk analysis Complex network

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A new flavone glycoside from Cancrinia discoidea(Ledeb.) Poljak

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Chinese Chemical Letters 2010年第9期21卷 1097-1099页

作者： Liang zhu ying Juan Tian School of Light Industry and Food Sciences South China University of Technology Guangzhou 510641 China

A new flavone glucoside,selagin-7-O-（6″-O-acetyl-）-β-D-glycoside,has been isolated from Cancrinia discoidea（Ledeb.） *** structure was identified by spectroscopic methods,2D NMR and *** exhibited activity of anti... 详细信息

关键词： Cancrinia discoidea(Ledeb.) Poljak Selagin-7-O-(6″-O-acetyl-)-β-D-glucoside Anti-inflammatory

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IGZO-based neuromorphic transistors with temperature-dependent synaptic plasticity and spiking logics

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Science China(Information Sciences) 2022年第6期65卷 218-225页

作者： ying.zhu Yongli HE Chunsheng CHEN Li zhu Changjin WAN Qing WAN School of Electronic & Science Engineering and Collaborative Innovation Center of Advanced Microstructures Nanjing University

Temperature is one of the vital influential factors for all physiological and mental *** the influence of temperature on the properties of synaptic devices is of great importance for neuromorphic computing and bionic perception. Here, indium-gallium-zinc-oxide(IGZO) based electrical-doublelayer neuromorphic transistors were proposed for the emulation of temperature-dependent synaptic *** influence of temperature on the synaptic plasticity, including excitatory postsynaptic current, pairedpulse facilitation, and dynamic filtering was investigated. Interestingly, temperature induced spiking AND to OR logic switching was demonstrated in an IGZO-based neuromorphic transistor with two in-plane gate electrodes. Our results provided an insight into the temperature-induced synaptic functions and spiking logic switching, which is interesting for neuromorphic systems with biological fidelity.

关键词： neuromorphic transistors IGZO TFTs temperature-dependent synaptic plasticity logic transformation

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A novel oil spill detection method from synthetic aperture radar imageries via a bidimensional empirical mode decomposition

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Acta Oceanologica Sinica 2017年第7期36卷 86-94页

作者： YANG Yonghu LI ying.zhu Xueyuan Navigation College Dalian Maritime University Computer Science and Technology Department Dalian Neusoft Institute of Information

Oil spills pose a major threat to ocean ecosystems and their health. Synthetic aperture radar（SAR） sensors can detect oil spills on the sea surface. These oil spills appear as dark spots in SAR images. However, dark formations can be caused by a number of phenomena. It is aimed to distinguishing oil spills or look-alike objects. A novel method based on a bidimensional empirical mode decomposition is proposed. The selected dark formations are first decomposed into several bidimensional intrinsic mode functions and the residue. Subsequently, 64 dimension feature sets are calculated using the Hilbert spectral analysis and five new features are extracted with a relief algorithm. Mahalanobis distances are then used for classification. Three data sets containing oil spills or look-alikes are used to test the accuracy rate of the method. The accuracy rate is more than 90%. The experimental results demonstrate that the novel method can detect oil spills validly and accurately.

关键词： bidimensional empirical mode decomposition synthetic aperture radar image detection of oil spill hilbert spectral analysis

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Impact of nanoparticle-induced scattering of an azimuthally propagating mode on the resonance of whispering gallery microcavities

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Photonics Research 2017年第5期5卷 396-405页

作者： JUNDA zhu ying ZHONG HAITAO LIU Key Laboratory of Optical Information Science and Technology Ministry of Education Institute of Modern Optics Nankai University State Key Laboratory of Precision Measuring Technology and Instruments Tianjin University

Optical whispering gallery microcavities with high-quality factors have shown great potential toward achieveing ultrahigh-sensitivity sensing up to a single molecule or nanoparticle, which raises a huge demand on a deep theoretical insight into the crucial phenomena such as the mode shift, mode splitting, and mode broadening in sensing experiments. Here we propose an intuitive model to analyze these phenomena from the viewpoint of the nanoparticle-induced multiple scattering of the azimuthally propagating mode(APM). The model unveils explicit relations between these phenomena and the phase change and energy loss of the APM when scattered at the nanoparticle; the model also explains the observed polarization-dependent preservation of one resonance and the particle-dependent redshift or blueshift. The model indicates that the particle-induced coupling between the pair of unperturbed degenerate whispering gallery modes(WGMs) and the coupling between the WGMs and the free-space radiation modes, which are widely adopted in current theoretical formalisms, are realized via the reflection and scattering-induced free-space radiation of the APM, respectively, and additionally exhibits the contribution of cross coupling between the unperturbed WGMs and other different WGMs to forming the splittingresonant modes, especially for large particles.

关键词： APM Impact of nanoparticle-induced scattering of an azimuthally propagating mode on the resonance of whispering gallery microcavities

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Neutrons in the classically forbidden region in neutron-rich nucleus^(68)Ca

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Chinese Physics C 2021年第7期45卷 219-224页

作者： Shiwen zhu ying Zhang Department of Physics School of ScienceTianjin UniversityTianjin 300354China

Neutrons tunneling to the classically forbidden(CF)region in the neutron-rich nucleus^(68)Ca are investigated in the Skyrme Hartree-Fock(HF)and Hartree-Fock-Bogoliubov(HFB)*** definition of the CF region is examined in the HF model by using different single-particle potentials for the bound *** the HFB model,the weakly bound and continuum states could also contribute to the neutrons in the CF region due to the pairing *** asymptotic wave functions are carefully calculated by the Green's function method.

关键词： neutron-rich nucleus classically forbidden region density functional theory

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鲟鱼育种及新品种选育研究进展

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中山大学学报（自然科学版）（中英文） 2025年第1期64卷 93-105页

作者：王巍宋海亮朱华董颖东天胡红霞北京市农林科学院水产科学研究所暨北京市渔业生物技术重点实验室北京100068 农业农村部“鲟鱼遗传育种”重点实验室浙江杭州311799 国家数字种业创新中心北京100097

鲟鱼是鲟形目鱼类的统称。它们不仅具有重要的进化地位,而且具有重要的经济价值。鲟鱼新品种选育研究在近几十年取得了显著进展。本文综述了鲟鱼新品种选育的主要方法,包括杂交育种、雌核发育、性逆转诱导、基因编辑、家系选育、基因组... 详细信息

鲟鱼是鲟形目鱼类的统称。它们不仅具有重要的进化地位,而且具有重要的经济价值。鲟鱼新品种选育研究在近几十年取得了显著进展。本文综述了鲟鱼新品种选育的主要方法,包括杂交育种、雌核发育、性逆转诱导、基因编辑、家系选育、基因组选择和细胞水平育种,讨论了各技术的应用现状,在育种上相关研究和取得的重要突破,并结合我们育种实践积累的经验,展望鲟鱼育种和种业的未来发展,为未来的鲟鱼育种研究提供理论基础和实践指导。

关键词：鲟鱼育种新品种

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Bitter Melon Powder Protects against Obesity-associated Fatty Liver Disease by Improving Colonic Microenvironment in Rats with High-fat Diet-induced Obesity

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Biomedical and Environmental Sciences 2017年第8期30卷 611-615页

作者： BAI Juan zhu ying DONG ying School of Food and Biological Engineering Jiangsu University Zhenjiang 212013 Jiangsu China

This study explored how bitter melon powder （BMP） alters the colonic microenvironment during the development of obesity-associated fatty liver in rats. We observed that BMP effectively inhibited the body weight gain and lipid accumulation in the liver, ameliorated glucose intolerance, and increased the colon weight after an 8-week treatment compared to that in the high-fat diet （HFD） group. BMP significantly decreased fecal water toxicity towards HT-29 cells, as revealed by the cell counting kit （CCK）-8 assay results, and the mRNA expression of Toll-like receptor 4 （TLR4） in colon mucosa. Additionally, gut permeability in the BMP group was restored to normal levels. Finally, BMP alleviated the inflammatory state of the rat colon mucosa and liver tissues as well as the systemic inflammation.

关键词： RNA Bitter Melon Powder Protects against Obesity-associated Fatty Liver Disease by Improving Colonic Microenvironment in Rats with High-fat Diet-induced Obesity BMP Figure TLR

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双模态成像仿生纳米粒对甲状腺髓样癌的声动力治疗

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中国组织工程研究 2025年第16期29卷 3410-3419页

作者：朱炜薇凡正超胥莹夏纪筑赵香芝西南医科大学附属医院超声医学科四川省泸州市646000

背景:声动力疗法作为一种新型抗肿瘤治疗手段具有非侵入性和时空可控性的特点,在甲状腺髓样癌无创性治疗中具有广阔的应用前景。目的:制备具有双模态成像能力的仿生癌细胞膜涂层脂质纳米粒,检测纳米粒的理化性质、靶向能力、成像效果、... 详细信息

背景:声动力疗法作为一种新型抗肿瘤治疗手段具有非侵入性和时空可控性的特点,在甲状腺髓样癌无创性治疗中具有广阔的应用前景。目的:制备具有双模态成像能力的仿生癌细胞膜涂层脂质纳米粒,检测纳米粒的理化性质、靶向能力、成像效果、细胞毒性和抗迁移能力。方法:以二棕榈酰磷脂酰胆碱、二棕榈酰磷脂酰甘油、二硬脂酰磷脂酰乙醇胺-聚乙二醇2000、胆固醇、血卟啉单甲醚、全氟己烷为原料,通过薄膜水合-超声振荡法制备脂质纳米粒HP@LNP,其中血卟啉单甲醚装载于脂质纳米结构的疏水层,全氟己烷装载于脂质纳米结构的亲水核心层内;将甲状腺髓样癌细胞膜包覆于脂质纳米粒HP@LNP表面,构建具有主动靶向甲状腺髓样癌细胞能力的仿生脂质纳米粒MHP@LNP。表征纳米粒MHP@LNP的理化性质、靶向能力、免疫逃逸能力、成像效果、细胞毒性和抗迁移能力。结果与结论:①脂质纳米粒MHP@LNP呈现典型的核壳结构,粒径为131.06 nm,平均电位为-30.59 mV,凝胶电泳结果显示脂质纳米粒MHP@LNP与癌细胞膜蛋白图谱相符合,荧光共定位结果显示脂质纳米粒MHP@LNP与癌细胞膜的荧光信号显著重合。脂质纳米粒MHP@LNP纳米粒内血卟啉单甲醚的包封率为87.8%,载药率为14.6%。在低强度聚焦超声刺激下,脂质纳米粒MHP@LNP可发生相变产生微泡,在4 min时超声信号强度达到最大值。在激光照射下,脂质纳米粒MHP@LNP的光声信号强度与其质量浓度呈现线性相关。脂质纳米粒MHP@LNP具有同源细胞靶向能力和免疫逃逸能力。未经低强度聚焦超声照射前的脂质纳米粒MHP@LNP具有良好的生物相容性,而经低强度聚焦超声照射后产生具有细胞毒性的活性氧,有效杀伤甲状腺髓样癌细胞,并抑制甲状腺髓样癌细胞的迁移能力。②结果表明,脂质纳米粒MHP@LNP能够在超声和光声双模态成像引导下实现声动力治疗,用于治疗甲状腺髓样癌。

关键词：脂质纳米粒声动力疗法低强度聚焦超声声敏剂活性氧癌细胞膜同源靶向纳米医学光声成像双模态成像

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