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Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining

j.urnal of Computer Science & Technology 2020年第2期35卷 305-319页

作者： Fu-Zhen Zhuang ying-Min Zhou Hao-Chao ying Fu-Zheng Zhang Xiang ao Xing Xie Qing He Hui Xiong Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China School of Public Health Zhejiang University School of MedicineHangzhou 310027China Meituan-Dianping Group Beijing 100102China Microsoft Research Asia Beijing 100080China Department of Management Science and Information Systems Rutgers UniversityNew Jersey 07102U.S.A.

Transfer learning has attracted a large amount of interest and research in last decades, and some effort has been made to build more precise recommendation systems. Most previous transfer recommendation systems assume that the target domain shares the same/similar rating patterns with the auxiliary source domain, which is used to improve the recommendation performance. However, almost all existing transfer learning work does not consider the characteristics of sequential data. In this paper, we study the new cross-domain recommendation scenario by mining novelty-seeking trait. Recent studies in psychology suggest that novelty-seeking trait is highly related to consumer behavior, which has a profound business impact on online recommendation. Previous work performed on only one single target domain may not fully characterize users' novelty-seeking trait well due to the data scarcity and sparsity, leading to the poor recommendation performance. Along this line, we propose a new cross-domain novelty-seeking trait mining model (CDNST for short) to improve the sequential recommendation performance by transferring the knowledge from auxiliary source domain. We conduct systematic experiments on three domain datasets crawled from Douban to demonstrate the effectiveness of our proposed model. Moreover, we analyze the directed influence of the temporal property at the source and target domains in detail.

关键词： sequential recommendation novelty-seeking trait transfer learning

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脂质转移蛋白SiLTP1基因参与谷子耐盐响应初探

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作物学报 2025年第1期51卷 58-67页

作者：孟凡花刘敏沈傲刘炜山东省农业科学院农作物种质资源研究所山东济南250100 上海应用技术大学生态技术与工程学院上海201418

土壤盐渍化严重制约农业生产发展,通过提高植物耐盐性进行盐碱地综合利用,对于保障粮食安全,提升农业生产效率具有重要意义。脂质转移蛋白是一类在高等植物中广泛存在的小分子蛋白质,能够参与植株生长、信号转导以及多种生物和非生物胁... 详细信息

土壤盐渍化严重制约农业生产发展,通过提高植物耐盐性进行盐碱地综合利用,对于保障粮食安全,提升农业生产效率具有重要意义。脂质转移蛋白是一类在高等植物中广泛存在的小分子蛋白质,能够参与植株生长、信号转导以及多种生物和非生物胁迫过程。前期本课题组克隆到一个谷子中编码脂质转移蛋白的基因SiLTP1,本研究通过构建其原核表达载体和植物双元过表达载体,获得了该基因的原核表达蛋白及同源转化过表达阳性植株,经进一步筛选获得4个纯合株系。体外耐盐性试验显示, SiLTP1的原核表达蛋白具有一定耐盐性;转基因植株苗期耐盐生理指标测定显示,SiLTP1过表达植株在遭受盐胁迫时,植株体内MDA积累减少,抗氧化酶含量升高,可积累更少的过氧化氢,从而降低胁迫对植株的氧化损伤,显示基因过表达植株具有更好的耐盐性。本研究结果初步揭示, SiLTP1可正向调控谷子的耐盐性,其在谷子耐盐抗逆方面具有潜在功能,为耐盐谷子品种改良及新品种培育提供了理论基础和候选基因资源。

关键词：脂质转移蛋白 SiLTP1 盐胁迫谷子耐盐响应

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Validity of long-term and short-term recall of occupational sitting time in Finnish and Chinese office workers

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j.urnal of Sport and Health Science 2020年第4期9卷 345-351页

作者： ying Gao Neil j.Cronin Nina Nevala Taij. Finni Neuromuscular Research Center Faculty of Sport and Health SciencesUniversity of Jyv€askyl€aJyv€askyl€a FI-40014Finland Finnish Institute of Occupational Health Helsinki FI-00250Finland

Background:As sedentary behavior is a global health issue,there is a need for methods of self-reported sitting *** accuracy and reliability of these methods should also be tested in various populations and different cultural *** study examined the validity of longterm and short-term recall of occupational sitting time in Finnish and Chinese ***:Two cohort groups of office-based workers(58.6%female,age range 2267 years)participated:a Finnish group(FIN,n=34)and a Chinese group(CHI,n=36).Long-term(past 3-month sitting)and short-term(daily sitting assessed on 5 consecutive days)single-item measures were used to assess self-reported occupational sitting *** from each participant were compared to obj.ctively measured occupational sitting time assessed via thigh-mounted accelerometers,with Spearman’s rho(r)used to assess validity and the Bland-Altman method used to evaluate *** of variation depicted day-to-day variability of time spent on sitting at ***:In the total study sample,the results showed that both long-term and short-term recall correlated with accelerometer-derived sitting time(r=0.532,95%confidence intervals(CI):0.3360.684,pj.ctively measured sitting time,self-reported occupational sitting time was 2.4%(95%CI:0.5%to 5.3%,p=0.091)and 2.2%(95%CI:0.7%3.6%,p=0.005)greater for long-term and short-term recall,*** agreement level was within the range21.2%to 25.9%for long-term recall,and24.2%to 28.5%for short-term *** a 5-day work week,day-to-day variation of sitting time was 9.4%§11.4%according to short-term recall and 10.4%§8.4%according to accelerometry-derived occupational sitting ***:Overall,both long-term and short-term self-reported instruments provide acceptable measures of occupational sitting time in an office-based workplace,but their utility at the individual level is limited due

关键词： Accelerometry Daily recall Office workers Questionnaire Self-report Sitting time Validity

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Microstructure evolution of A380 aluminum alloy during rheological process under applied pressure

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China Foundry 2019年第6期16卷 371-379页

作者： ying Wang Shu-ming Xing Xiao-hui ao Ting-yue Wang School of Mechanical Electronic and Control EngineeringBeijing Jiaotong UniversityBeijing 100044China School of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China

In squeeze casting process,the essence of mold-filling and feeding is rheological solidification of the alloy melt under *** evolution is inevitable in this process,which affects the mold-filling and feeding in *** this work,the Archimedes spiral sample prepared by indirect squeeze casting was applied to investigate the microstructure evolution during the rheological process under *** results showed that the primaryα-Al phase was transformed from fine rosette-like or granular structure to coarse platelet-like structure with the increase of spiral ***,the primaryα-Al grain size of the starting point had a slight growing trend compared with that at the position of 140 mm away from the starting *** volume fraction of the primaryα-Al phase increased from 45.57%to 70.35%along the spiral length direction,demonstrating that the experimental pressure improved the rheological ability of the alloy melt to some ***,the eutectic Si phase was varied from a fine granular or wormlike structure to a coarse platelet-like or needle-like structure,and the dispersion of eutectic Si particles was also varied along the spiral length *** microstructure evolution was mainly owing to the comprehensive action of rheological solidification and pressurized *** specifically,the microstructure evolution strongly depended on the pressure and rheological velocity during the rheological process,however,the effect of rheological distance was relatively small.

关键词： microstructure evolution primaryα-Al eutectic Si rheological solidification pressurized solidification

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Invasion biology of the cotton mealybug, Phenacoccus solenopsis Tinsley: Current knowledge and future directions

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j.urnal of Integrative Agriculture 2019年第4期18卷 758-770页

作者： TONG Hao-j.e ao Yan LI Zi-hao WANG ying j.ANG Ming-xing Institute of Insect Sciences Zhejiang University

The cotton mealybug Phenacoccus solenopsis Tinsley(Hemiptera: Pseudococcidae), which is native to North America, emerged as a maj.r invasive insect pest of multiple crops in Asia at the beginning of the 21 st century. Considering the economic significance of this insect and its rapid worldwide spread, we examined the possible factors driving its invasions. In this paper, we summarize the life history traits of P. solenopsis conceivably related to population development in invaded regions; these traits include its use of diverse host plants, reproductive capacity and mode, adaptation to temperature, response to food shortage, and insecticidal resistance. Then, focusing on the multiple trophic interactions that may promote or hinder invasion, we review the mutualistic relationship of this mealybug with ants and predation and parasitism by natural enemies. Finally, we suggest topics for future research and provide our perspective on the biological invasions of this mealybug. We speculate that specific biological factors associated with this mealybug, particularly its wide host range, high reproductive potential, evolved changes in life history traits, and mutualism with ants have played important roles in its invasions, allowing this pest to become established and rapidly increase its population upon its introduction into new regions.

关键词： cotton mealybug biological invasion reproduction mutualism natural enemies adaptation

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A novel inj.ctable fibroblasts-porous PDLLA microspheres/collagen gel composite for soft-tissue augmentation

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Progress in Natural Science:Materials International 2020年第5期30卷 651-660页

作者： Qiuxia Ding Ruoyu Zha Xinye He ao Sun Kun Shi ying Qu Zhiyong Qian State Key Laboratory of Biotherapy and Cancer Center West China Hospital West China Medical School Sichuan University Urology Institute of Shenzhen University The Third Affiliated Hospital of Shenzhen University Shenzhen University

This study designed a novel porous PDLLA microspheres/collagen gel composite combined with fibroblasts as the inj.ctable dermal filler for soft-tissue augmentation. The low degradation rate of porous PDLLA microspheres and seed cells were introduced in the system to achieve the filling volume stability and stronger regeneration activity. Biodegradable PDLLA porous microspheres were prepared by an improved water-in-oil-in-water double emulsion solvent evaporation method. The combine of fibroblasts with porous microspheres was observed through co-culture of cells with microspheres, SEM(scanning electron microscope) and fluorescent staining technology. The MTT(3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay, the hemolysis test and histocompatibility experiment indicated that the composite had satisfactory biocompatibility in vitro and in vivo. In the animal studies, the composite was implanted into the subcutaneous part of the rats’ back through sterile needles. The collagen was metabolized within 30 days, meanwhile, fibroblasts-porous PDLLA microspheres served as scaffold structure and seed cells which promote new connective tissue formation. The histopathological studies demonstrate that the fibroblasts-porous PDLLA microspheres/collagen gel composite group could create larger amount of supportive structure than PDLLA porous microspheres/collagen gel composite group. All the results indicate that fibroblasts-porous PDLLA microspheres/collagen gel composite may have great clinical application in soft-tissue augmentation with its excellent biocompatibility, regeneration activity and stable long-term filling ability.

关键词： Porous PDLLA microspheres Fibroblast Collagen Soft-tissue augmentation

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Automatic segmentation of stem and leaf components and individual maize plants in field terrestrial LiDAR data using convolutional neural networks

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The Crop j.urnal 2022年第5期10卷 1239-1250页

作者： Zurui ao Fangfang Wu Saihan Hu ying Sun Yanj.n Su Qinghua Guo Qinchuan Xin Guangdong Key Laboratory for Urbanization and Geo-simulation Sun Yat-sen UniversityGuangzhou 510275GuangdongChina State Key Laboratory of Vegetation and Environmental Change Institute of BotanyChinese Academy of SciencesBeijing 100093China Department of Ecology College of Urban and Environmental Scienceand Key Laboratory of Earth Surface Processes of the Ministry of EducationPeking UniversityBeijing 100871China

High-throughput maize phenotyping at both organ and plant levels plays a key role in molecular breeding for increasing crop yields. Although the rapid development of light detection and ranging(Li DAR) provides a new way to characterize three-dimensional(3 D) plant structure, there is a need to develop robust algorithms for extracting 3 D phenotypic traits from Li DAR data to assist in gene identification and selection. Accurate 3 D phenotyping in field environments remains challenging, owing to difficulties in segmentation of organs and individual plants in field terrestrial Li DAR data. We describe a two-stage method that combines both convolutional neural networks(CNNs) and morphological characteristics to segment stems and leaves of individual maize plants in field environments. It initially extracts stem points using the Point CNN model and obtains stem instances by fitting 3 D cylinders to the points. It then segments the field Li DAR point cloud into individual plants using local point densities and 3 D morphological structures of maize plants. The method was tested using 40 samples from field observations and showed high accuracy in the segmentation of both organs(F-score =0.8207) and plants(Fscore =0.9909). The effectiveness of terrestrial Li DAR for phenotyping at organ(including leaf area and stem position) and individual plant(including individual height and crown width) levels in field environments was evaluated. The accuracies of derived stem position(position error =0.0141 m), plant height(R^(2)>0.99), crown width(R^(2)>0.90), and leaf area(R^(2)>0.85) allow investigating plant structural and functional phenotypes in a high-throughput way. This CNN-based solution overcomes the maj.r challenges in organ-level phenotypic trait extraction associated with the organ segmentation, and potentially contributes to studies of plant phenomics and precision agriculture.

关键词： Terrestrial LiDAR Phenotype Organ segmentation Convolutional neural networks

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A Fast Accurate Boundary IntegralMethod for Potentials on Closely Packed Cells

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Communications in Computational Physics 2013年第9期14卷 1073-1093页

作者： Wenj.n ying j.Thomas Beale Shanghai j.ao Tong University Department of Mathematics and Institute of Natural SciencesMinhangShanghai 200240P.R.China Duke University Department of MathematicsDurhamNC 27708-0320USA

Boundary integral methods are naturally suited for the computation of harmonic functions on a region having inclusions or cells with different material ***,accuracy deteriorates when the cell boundaries are close to each *** present a boundary integralmethod in two dimensions which is specially designed tomaintain second order accuracy even if boundaries are arbitrarily *** uses a regularization of the integral kernel which admits analytically determined corrections to maintain *** boundaries with many components we use the fast multipolemethod for efficient *** compute electric potentials on a domain with cells whose conductivity differs from that of the surrounding *** first solve an integral equation for a source term on the cell interfaces and then find values of the potential near the interfaces via *** we use a Poisson solver to extend the potential to a regular grid covering the entire region.A number of examples are *** demonstrate that increased refinement is not needed to maintain accuracy as interfaces become very close.

关键词： Laplace equation boundary integral method fast multipole method

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Decoding early myelopoiesis from dynamics of core endogenous network

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Science China(Life Sciences) 2017年第6期60卷 627-646页

作者： Hang Su Gaowei Wang Ruoshi Yuan j.nqiang Wang ying Tang Ping ao Xiaomei Zhu Key Laboratory of Systems Biomedicine(Ministry of Education) Shanghai Center for Systems BiomedicineShanghai Jiao Tong UniversityShanghai 200240China School of Biomedical Engineering Shanghai Jiao Tong UniversityShanghai 200240China Department of Physics and Astronomy Shanghai Jiao Tong UniversityShanghai 200240China State Key Laboratory for Oncogenes and Related Genes Shanghai Cancer InstituteShanghai Jiao Tong University School of MedicineShanghai 200240China Shanghai Center for Quantitative Life Sciences and Physics Department Shanghai UniversityShanghai 200444China

A decade ago mainstream molecular biologists regarded it impossible or biologically ill-motivated to understand the dynamics of complex biological phenomena, such as cancer genesis and progression, from a network perspective. Indeed, there are numerical difficulties even for those who were determined to explore along this direction. Undeterred, seven years ago a group of Chinese scientists started a program aiming to obtain quantitative connections between tumors and network dynamics. Many interesting results have been obtained. In this paper we wish to test such idea from a different angle: the connection between a normal biological process and the network dynamics. We have taken early myelopoiesis as our biological model. A standard roadmap for the cell-fate diversification during hematopoiesis has already been well established experimentally, yet little was known for its underpinning dynamical mechanisms. Compounding this difficulty there were additional experimental challenges, such as the seemingly conflicting hematopoietic roadmaps and the cell-fate inter-conversion events. With early myeloid cell-fate determination in mind, we constructed a core molecular endogenous network from well-documented gene regulation and signal transduction knowledge. Turning the network into a set of dynamical equations, we found computationally several structurally robust states. Those states nicely correspond to known cell phenotypes. We also found the states connecting those stable *** reveal the developmental routes—how one stable state would most likely turn into another stable state. Such interconnected network among stable states enabled a natural organization of cell-fates into a multi-stable state landscape. Accordingly, both the myeloid cell phenotypes and the standard roadmap were explained mechanistically in a straightforward manner. Furthermore,recent challenging observations were also explained naturally. Moreover, the landscape visually enables a prediction o

关键词： developmental scheme early myeloid cell-fate determination endogenous network stable state transition state landscape

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Relationship Between Grain Yield and Yield Components in Super Hybrid Rice

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Agricultural Sciences in China 2011年第10期10卷 1537-1544页

作者： HUANG Min ZOU ying-bin j.ANG Peng XIA Bing Md Ibrahim ao He-j.n College of Agronomy Hunan Agricultural University Changsha 410128 P.R.China

Chinese super hybrid rice breeding proj.ct has developed many new varieties with great yield potential. It is controversial which yield component should be emphasized in super hybrid rice production. The present study was conducted to compare super hybrid rice with common hybrid and super inbred rice and analyze contributions of yield components to grain yield of super hybrid rice under experimental conditions, and evaluate relationships between grain yield and yield components of super hybrid rice in farmer’s paddy fields. Field experiments were done in Changsha, Guidong, and Nanxian, Hunan Province, China, from 2007 to 2009. Eight super hybrid varieties, one common hybrid variety, and one super inbred variety were grown in each location and year. Rice production investigation was undertaken in high-yielding （Guidong）, moderate-yielding （Nanxian）, and low-yielding （Ningxiang） regions of Hunan Province, China, in 2009. Grain yield and yield components were measured in both the field experiments and rice production investigation. Super hybrid rice varieties outyielded common hybrid and super inbred varieties across three locations and years. Yield potential has been increased by 11.4% in super hybrid rice varieties compared with common and super inbred varieties. The higher yield of super hybrid varieties was attributed to improvement in panicle size. Panicles per m2 had the highest positive contribution to grain yield with the exception under yield level of 10.0 to 12.0 t ha-1, and was positively related to grain yield in farmer’s field at all of the high-, moderate-, and low-yielding regions. Our study suggests that panicle per m2 ought to be emphasized in super hybrid rice production.

关键词： super hybrid rice yield panicle number panicle size

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