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Preliminary study of viscoelastic properties of MAPP-modified wood flour/polypropylene composites

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Forestry Studies in China 2010年第2期12卷 85-89页

作者： CAO jin-zhen WANG yi XU Wei-yue WANG Lei College of Materials Science and Technology Beijing Forestry University Beijing 100083 P. R. China

Viscoelastic properties of maleated polypropylene （MAPP）-modified wood flour/polypropylene composites （WPC） were investigated by both a compression stress relaxation method and dynamic mechanical analyses （DMA）. Three wood to polymer ratios （40：60, 60：40, and 80：20） and five MAPP loading levels （0, 1, 2, 4 and 8%） were used to study their effects on the viscoelastic prop- erties of MAPP-WPC. The results show that： 1） higher wood to polymer ratio corresponds to higher stress relaxation levels for unmodified WPC. The modification with MAPP has an obvious effect on the stress relaxation of MAPP-WPC at higher wood to polymer ratios （60：40 and 80：20）, but almost no effect at the 40：60 wood to polymer ratio. The optimal MAPP loading level for the wood to polymer ratio of 60：40 appears at 1%; 2） the storage modulus reaches its maximum at a MAPP loading level of 1% for wood to polymer ratios of 40：60 and 60：40, while for the 80：20 wood to polymer ratio, a higher storage modulus is observed at higher MAPP loading levels, which is quite consistent with the stress relaxation results. The results suggested that a suitable loading level of MAPP has a positive effect on the viscoelastic properties of WPC at higher wood to polymer ratios. Excessive MAPP loading would have resulted in adverse effects.

关键词： wood flour/polypropylene composite (WPC) maleated polypropylene (MAPP) viscoelastic properties stress relaxa-tion dynamic mechanical analysis (DMA)

晚期肺腺癌瘤内趋化因子CCR1、CXCR6和CXCL9对免疫治疗的预测及预后作用分析

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循证医学 2024年第2期24卷 107-114页

作者：钟思敏张东东李扬秋吴一龙刘思阳金真伊暨南大学生命科学技术学院广州510632 暨南大学第一附属医院胸外科广州510632 暨南大学基础医学与公共卫生学院血液学研究所再生医学教育部重点实验室广州510632 暨南大学第一附属医院血液科广州510632 暨南大学基础医学与公共卫生学院病理学系广州510632 广东省肺癌研究所南方医科大学附属广东省人民医院(广东省医学科学院)广州510080

目的构建能够预测晚期肺腺癌(lung adenocarcinoma,LUAD)患者免疫检查点阻断(immune checkpoint blockade,ICB)治疗疗效与预后的趋化因子模型。方法从既往研究数据中回顾性收集确诊为晚期LUAD且经过ICB治疗的42例患者(训练队列),取得其... 详细信息

目的构建能够预测晚期肺腺癌(lung adenocarcinoma,LUAD)患者免疫检查点阻断(immune checkpoint blockade,ICB)治疗疗效与预后的趋化因子模型。方法从既往研究数据中回顾性收集确诊为晚期LUAD且经过ICB治疗的42例患者(训练队列),取得其ICB治疗前肿瘤组织转录组测序数据,通过生物信息学方法,筛选出显著影响ICB治疗疗效与患者生存预后的趋化因子,通过无进展生存期(progression-free disease,PFS)评价疗效,通过总生存期(overall survival,OS)评价患者的预后。从高通量基因表达数据库(Gene Expression Omnibus,GEO)中的数据集(GSE 135222)下载25例非小细胞肺癌(non-small cell lung cancer,NSCLC)转录组测序数据和相关的生存数据,将其作为验证队列。结果通过单因素Cox回归分析,筛选出9个与晚期LUAD患者良好OS显著相关的趋化因子,其中CCR1、CXCR6和CXCL9高表达的患者明显具有更长的OS。基于这3个趋化因子的表达量构建风险模型,生存分析结果表明风险分数与患者的PFS和OS呈负相关,即低风险(risk score≤-1.33)的晚期LUAD患者在ICB治疗中明显获益更多。低风险组中位PFS为19.7个月对比高风险组(risk score>-1.33)2.9个月[95%可信区间(confidence interval,CI)为0.12~0.51,P-1.85)为2.7个月对比1.2个月(95%CI 0.12~0.93,P=0.009)。结论CCR1、CXCR6和CXCL9高表达表明晚期LUAD患者疾病进展的风险较低,与患者良好的PFS和OS相关,可能为晚期LUAD患者的ICB辅助治疗提供新的方向。

关键词： CCR1 CXCR6 CXCL9 肺腺癌免疫检查点阻断治疗

Shor's algorithm does not factor large integers in the presence of noise

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Science China(Information Sciences) 2024年第7期67卷 305-320页

作者： jin-yi CAI College of Letters and Science University of Wisconsin

We consider Shor's quantum factoring algorithm in the setting of noisy quantum gates. Under a generic model of random noise for(controlled) rotation gates, we prove that the algorithm does not factor integers of the form pq when the noise exceeds a vanishingly small level in terms of n—the number of bits of the integer to be factored, where p and q are from a well-defined set of primes of positive density. We further prove that with probability 1-o(1) over random prime pairs(p, q), Shor's factoring algorithm does not factor numbers of the form pq, with the same level of random noise present.

关键词： random noise Shor's algorithm rotation gates quantum computing prime factorization

Characteristics of the TCR Vβ repertoire in imatinib-resistant chronic myeloid leukemia patients with ABL mutations

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Science China(Life Sciences) 2015年第12期58卷 1276-1281页

作者： XU Ling LU Yu Hong LAI jing YU Wei ZHANG yi Kai jin zhen yi XU Yan CHEN Jie ZHA Xian Feng CHEN Shao Hua YANG Li Jian LI Yang Qiu Institute of Hematology Jinan University Department of Hematology First Affiliated Hospital Jinan University Department of Hematology Guangzhou No.12 People's Hospital Key Laboratory for Regenerative Medicine of Ministry of Education Jinan University Department of clinical laboratory First Affiliated Hospital Jinan University

Diversity in the T cell receptor(TCR) repertoire provides a miniature defense ability for the T cell immune system that may be related to tumor initiation and progression. Understanding the T cell immune status of leukemia patients is critical for establishing specific immunotherapies. Previous studies have reported abnormal TCR repertoires and clonally expanded TCR V? T cells in chronic myeloid leukemia in chronic phase(CP-CML). In this study, we investigated the distribution and clonality of the TCR V? repertoire in 4 cases with imatinib-resistant CML in blast crisis(BC-CML) with abelson murine leukemia viral oncogene homolog 1(ABL1) kinase domain mutations(KDMs). Examination of TCR V? expression and clonality was performed by reverse transcription-polymerase chain reaction(RT-PCR) and Gene Scan analysis. Significantly skewed TCR V? repertoires were observed in BC-CML patients with different KDMs, and 4 to 8 oligoclonally expanded TCR V? subfamilies could be identified in each sample. Intriguingly, a relatively highly expanded V?9 clone with the same length as complementarity-determining region 3(CDR3)(139 bp) was found in all three CML patients in lymphoid blast crisis(LBC-CML) who had different KDMs, but the clone was not detected in the only CML patient in myeloid blast crisis(MBC-CML). In conclusion, restricted TCR V? repertoire expression and decreased clone complexity was a general phenomenon observed in the BC-CML patients with different KDMs, indicating the T-cell immunodeficiency of these patients. In addition, clonally expanded V?9 T cell clones may indicate a specific immune response to leukemia-associated antigens in LBC-CML patients.

关键词： T cell repertoire chronic myeloid leukemia blast crisis imatinib resistance BCR-ABL mutation

Machine learning for carbonate formation drilling: Mud loss prediction using seismic attributes and mud loss records

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Petroleum Science 2024年第2期21卷 1241-1256页

作者： Hui-Wen Pang Han-Qing Wang yi-Tian Xiao Yan jin Yun-Hu Lu Yong-Dong Fan zhen Nie National Key Laboratory of Petroleum Resources and Engineering China University of Petroleum(Beijing)Beijing102249China College of Science China University of Petroleum-BeijingBeijing102249China Petroleum Exploration and Production Research Institute SINOPECBeijing102206China College of Petroleum Engineering China University of Petroleum-BeijingBeijing102249China Research Institute of Petroleum Exploration and Development CNPCBeijing100083China

Due to the complexity and variability of carbonate formation leakage zones, lost circulation prediction and control is one of the major challenges of carbonate drilling. It raises well-control risks and production expenses. This research utilizes the H oilfield as an example, employs seismic features to analyze mud loss prediction, and produces a complete set of pre-drilling mud loss prediction solutions. Firstly, 16seismic attributes are calculated based on the post-stack seismic data, and the mud loss rate per unit footage is specified. The sample set is constructed by extracting each attribute from the seismic trace surrounding 15 typical wells, with a ratio of 8:2 between the training set and the test set. With the calibration results for mud loss rate per unit footage, the nonlinear mapping relationship between seismic attributes and mud loss rate per unit size is established using the mixed density network ***, the influence of the number of sub-Gausses and the uncertainty coefficient on the model's prediction is evaluated. Finally, the model is used in conjunction with downhole drilling conditions to assess the risk of mud loss in various layers and along the wellbore trajectory. The study demonstrates that the mean relative errors of the model for training data and test data are 6.9% and 7.5%, respectively, and that R2is 90% and 88%, respectively, for training data and test data. The accuracy and efficacy of mud loss prediction may be greatly enhanced by combining 16 seismic attributes with the mud loss rate per unit footage and applying machine learning methods. The mud loss prediction model based on the MDN model can not only predict the mud loss rate but also objectively evaluate the prediction based on the quality of the data and the model.

关键词： Lost circulation Risk prediction Machine learning Seismic attributes Mud loss records

Epileptic brain network mechanisms and neuroimaging techniques for the brain network

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Neural Regeneration Research 2024年第12期19卷 2637-2648页

作者： yi Guo Zhonghua Lin zhen Fan Xin Tian Department of Neurology Sichuan Provincial People’s HospitalUniversity of Electronic Science and Technology of ChinaChengduSichuan ProvinceChina Sichuan Provincial Center for Mental Health Sichuan Provincial People’s HospitalUniversity of Electronic Science and Technology of ChinaChengduSichuan ProvinceChina Department of Geriatrics Sichuan Provincial People’s HospitalUniversity of Electronic Science and Technology of ChinaChengduSichuan ProvinceChina Department of Neurology Chongqing Key Laboratory of NeurologyThe First Affiliated Hospital of Chongqing Medical UniversityChongqingChina

Epilepsy can be defined as a dysfunction of the brain network,and each type of epilepsy involves different brain-network changes that are implicated diffe rently in the control and propagation of interictal or ictal *** more detailed information on brain network alterations can help us to further understand the mechanisms of epilepsy and pave the way for brain network-based precise therapeutic approaches in clinical *** increasing number of advanced neuroimaging techniques and electrophysiological techniques such as diffusion tensor imaging-based fiber tra ctography,diffusion kurtosis imaging-based fiber tractography,fiber ball imagingbased tra ctography,electroencephalography,functional magnetic resonance imaging,magnetoencephalography,positron emission tomography,molecular imaging,and functional ultrasound imaging have been extensively used to delineate epileptic *** this review,we summarize the relevant neuroimaging and neuroelectrophysiological techniques for assessing structural and functional brain networks in patients with epilepsy,and extensively analyze the imaging mechanisms,advantages,limitations,and clinical application ranges of each technique.A greater focus on emerging advanced technologies,new data analysis software,a combination of multiple techniques,and the construction of personalized virtual epilepsy models can provide a theoretical basis to better understand the brain network mechanisms of epilepsy and make surgical decisions.

关键词： electrophysiological techniques epilepsy functional brain network functional magnetic resonance imaging functional near-infrared spectroscopy machine leaning molecular imaging neuroimaging techniques structural brain network virtual epileptic models

Reliable calculations of nuclear binding energies by the Gaussian process of machine learning

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Nuclear Science and Techniques 2024年第6期35卷 130-144页

作者： Zi-yi Yuan Dong Bai zhen Wang Zhong-Zhou Ren School of Physics Science and Engineering Tongji UniversityShanghai 200092China College of Science Hohai UniversityNanjing 211100China Key Laboratory of Advanced Micro-Structure Materials Ministry of EducationShanghai 200092China

Reliable calculations of nuclear binding energies are crucial for advancing the research of nuclear physics. Machine learning provides an innovative approach to exploring complex physical problems. In this study, the nuclear binding energies are modeled directly using a machine-learning method called the Gaussian process. First, the binding energies for 2238 nuclei with Z > 20 and N > 20 are calculated using the Gaussian process in a physically motivated feature space, yielding an average deviation of 0.046 MeV and a standard deviation of 0.066 MeV. The results show the good learning ability of the Gaussian process in the studies of binding energies. Then, the predictive power of the Gaussian process is studied by calculating the binding energies for 108 nuclei newly included in AME2020. The theoretical results are in good agreement with the experimental data, reflecting the good predictive power of the Gaussian process. Moreover, the α-decay energies for 1169 nuclei with 50 ≤ Z ≤ 110 are derived from the theoretical binding energies calculated using the Gaussian process. The average deviation and the standard deviation are, respectively, 0.047 MeV and 0.070 MeV. Noticeably, the calculated α-decay energies for the two new isotopes ^ (204 )Ac(Huang et al. Phys Lett B 834, 137484(2022)) and ^ (207) Th(Yang et al. Phys Rev C 105, L051302(2022)) agree well with the latest experimental data. These results demonstrate that the Gaussian process is reliable for the calculations of nuclear binding energies. Finally, the α-decay properties of some unknown actinide nuclei are predicted using the Gaussian process. The predicted results can be useful guides for future research on binding energies and α-decay properties.

关键词： Nuclear binding energies decay Machine learning Gaussian process

Unmanned Aerial Vehicle Inspection Routing and Scheduling for Engineering Management

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Engineering 2024年第5期36卷 223-239页

作者： Lu zhen Zhiyuan Yang Gilbert Laporte Wen yi Tianyi Fan School of Management Shanghai UniversityShanghai 200444China Department of Decision Sciences HEC MontréalMontréalQC H3T 2A7Canada School of Management University of BathBath BA27AYUK Department of Building and Real Estate The Hong Kong Polytechnic UniversityHong Kong 999077China

Technological advancements in unmanned aerial vehicles(UAVs)have revolutionized various industries,enabling the widespread adoption of UAV-based *** engineering management,UAV-based inspection has emerged as a highly efficient method for identifying hidden risks in high-risk construction environments,surpassing traditional inspection *** on this foundation,this paper delves into the optimization of UAV inspection routing and scheduling,addressing the complexity introduced by factors such as no-fly zones,monitoring-interval time windows,and multiple monitoring *** tackle this challenging problem,we propose a mixed-integer linear programming(MILP)model that optimizes inspection task assignments,monitoring sequence schedules,and charging *** comprehensive consideration of these factors differentiates our problem from conventional vehicle routing problem(VRP),leading to a mathematically intractable model for commercial solvers in the case of large-scale *** overcome this limitation,we design a tailored variable neighborhood search(VNS)metaheuristic,customizing the algorithm to efficiently solve our *** numerical experiments are conducted to validate the efficacy of our proposed algorithm,demonstrating its scalability for both large-scale and real-scale *** experiments and a case study based on an actual engineering project are also conducted,providing valuable insights for engineering managers to enhance inspection work efficiency.

关键词： Engineering management Unmanned aerial vehicle Inspection routing and scheduling optimization Mixed-integer linear programming model Variable neighborhood search metaheuristic

Classification of congenital cataracts based on multidimensional phenotypes and its association with visual outcomes

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International Journal of Ophthalmology(English edition) 2024年第3期17卷 473-479页

作者： Yuan Tan ying-Shi Zou ying-Lin Yu Le-yi Hu Ting Zhang Hui Chen Ling jin Duo-Ru Lin yi-Zhi Liu Hao-Tian Lin zhen-zhen Liu State Key Laboratory of Ophthalmology Zhongshan Ophthalmic CenterSun Yat-sen UniversityGuangdong Provincial Key Laboratory of Ophthalmology and Visual ScienceGuangdong Provincial Clinical Research Center for Ocular DiseasesGuangzhou 510060Guangdong ProvinceChina

●AIM:To establish a classification for congenital cataracts that can facilitate individualized treatment and help identify individuals with a high likelihood of different visual outcomes.●METHODS:Consecutive patients diagnosed with congenital cataracts and undergoing surgery between January 2005 and November 2021 were *** on visual outcomes and the phenotypic characteristics of ocular biometry and the anterior and posterior segments were extracted from the patients’medical records.A hierarchical cluster analysis was *** main outcome measure was the identification of distinct clusters of eyes with congenital cataracts.●RESULTS:A total of 164 children(299 eyes)were divided into two clusters based on their ocular *** 1(96 eyes)had a shorter axial length(mean±SD,19.44±1.68 mm),a low prevalence of macular abnormalities(1.04%),and no retinal abnormalities or posterior *** 2(203 eyes)had a greater axial length(mean±SD,20.42±2.10 mm)and a higher prevalence of macular abnormalities(8.37%),retinal abnormalities(98.52%),and posterior cataracts(4.93%).Compared with the eyes in Cluster 2(57.14%),those in Cluster 1(71.88%)had a 2.2 times higher chance of good best-corrected visual acuity[<0.7 logMAR;OR(95%CI),2.20(1.25–3.81);P=0.006].●CONCLUSION:This retrospective study categorizes congenital cataracts into two distinct clusters,each associated with a different likelihood of visual *** innovative classification may enable the personalization and prioritization of early interventions for patients who may gain the greatest benefit,thereby making strides toward precision medicine in the field of congenital cataracts.

关键词： classification congenital cataract phenotype visual acuity cluster analysis