Jian Xu

Guangzhou Medical University

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Ling Sun

Xiamen University

Min-Na Yin

Guangzhou Medical University

Wsb Yeung

Queen Mary Hospital

Shao‐Lun Huang

Tsinghua–Berkeley Shenzhen Institute

Ckf Lee

National Taiwan University

Yizi Wang

China Medical University

Zhongqi Zhang

Yangtze Normal University

Canquan Zhou

Sun Yat-sen University

Hefeng Huang

Women's Hospital, School of Medicine, Zhejiang University

Yanwen Xu

Sun Yat-sen University

Cooperative Institutions

Zhejiang University

Chinese Academy of Sciences

Shanghai Jiao Tong University

Sun Yat-sen University

Chinese Academy of Medical Sciences & Peking Union Medical College

Peking University

Guangzhou Medical University

Huazhong University of Science and Technology

Southern Medical University

Fudan University

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Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach

arXiv (Cornell University) (2023)

Zhangming Chan Y. Zhang Shuguang Han Yong Bai Xiang-Rong Sheng

Conversion rate (CVR) prediction is one of the core components in online recommender systems, and various approaches have been proposed to obtain accurate and well-calibrated CVR estimation. However, we observe that a well-trained CVR prediction model often performs sub-optimally during sales promotions. This can be largely ascribed to the problem of the data distribution shift, in which the conventional methods no longer work. To this end, we seek to develop alternative modeling techniques for CVR prediction. Observing similar purchase patterns across different promotions, we propose reusing the historical promotion data to capture the promotional conversion patterns. Herein, we propose a novel \textbf{H}istorical \textbf{D}ata \textbf{R}euse (\textbf{HDR}) approach that first retrieves historically similar promotion data and then fine-tunes the CVR prediction model with the acquired data for better adaptation to the promotion mode. HDR consists of three components: an automated data retrieval module that seeks similar data from historical promotions, a distribution shift correction module that re-weights the retrieved data for better aligning with the target promotion, and a TransBlock module that quickly fine-tunes the original model for better adaptation to the promotion mode. Experiments conducted with real-world data demonstrate the effectiveness of HDR, as it improves both ranking and calibration metrics to a large extent. HDR has also been deployed on the display advertising system in Alibaba, bringing a lift of $9\%$ RPM and $16\%$ CVR during Double 11 Sales in 2022.

Lift (data mining)

Promotion (chess)

Mode (computer interface)

10.48550/arxiv.2305.12837

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Inhibition by Tyroserleutide (YSL) on the Invasion and Adhesion of the Mouse Melanoma Cell

Molecular Medicine (2007)

Zhi Yao Xuchun Che Rong Lu Minna Zheng Zhifeng Zhu

Tyroserleutide (YSL) is an active, low-molecular-weight polypeptide, comprised of three amino acids, that has shown antitumor effects on human hepatocarcinoma BEL-7402 in vitro and in vivo. In this study, we evaluated the inhibition of YSL on invasion and adhesion of the mouse B16-F10 melanoma cell line by injecting B16-F10 cells into the tail veins of C57BL/6 mice to establish an experimental lung metastasis model. YSL inhibited B16-F10 cell metastasis to lung, reducing the number and area of metastasis lesions. When we treated B16-F10 cells with YSL (0.01, 0.1, 1, 10, or 100 µg/mL) in vitro, we found that YSL inhibited the proliferation of B16-F10 cells with a 28.11% rate of inhibition. YSL significantly decreased the adhesiveness of B16-F10 cells to Matrigel with a 29.15% inhibition rate; YSL also significantly inhibited the invasion of B16-F10 cells, producing an inhibition of 35.31%. By analyses with Western blot and real-time RT-PCR, we found that YSL markedly inhibited the expression of ICAM-1 in B16-F10 cells. These data suggest that YSL inhibits the growth, invasion, and adhesion of B16-F10 cells.

Matrigel

10.2119/2006-00061.yao

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Citations (20)

分化型甲状腺癌の孤立性頭蓋内転移の管理:11病理学的に確認された症例と系統的文献レビュー【Powered by NICT】

World Neurosurgery (2018)

Chen Mingyu Danqi Chen Jian Xu Xu Ming Ping Zhong

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Loss of Bmal1 decreases oocyte fertilization, early embryo development and implantation potential in female mice

Zygote (2016)

Jian Xu Yan Li Yizi Wang Yanwen Xu Canquan Zhou

Summary Biological clock genes expressed in reproductive tissues play important roles in maintaining the normal functions of reproductive system. However, disruption of female circadian rhythm on oocyte fertilization, preimplantation embryo development and blastocyst implantation potential is still unclear. In this study, ovulation, in vivo and in vitro oocyte fertilization, embryo development, implantation and intracellular reactive oxygen species (ROS) levels in ovary and oviduct were studied in female Bmal1 +/+ and Bmal1 −/− mice. The number of naturally ovulated oocyte in Bmal1 −/− mice decreased (5.2 ± 0.8 vs 7.8 ± 0.8, P < 0.001), with an increasing abnormal oocyte ratio (20.4 ± 3.5 vs 11.7 ± 2.0%, P = 0.001) after superovulation. Significantly lower fertilization rate and obtained blastocyst number were observed in Bmal1 −/− female mice either mated with wild-type in vivo or fertilized by sperm from wild-type male mice in vitro (all P < 0.05). Interestingly, in vitro fertilization rate of oocytes derived from Bmal1 −/− increased significantly compared with in vivo study ( P < 0.01). After transferring blastocysts derived from Bmal1 +/+ and Bmal1 −/− female mice to pseudopregnant mice, the implantation sites of the latter decreased 5 days later (8.0 ± 0.8 vs 5.3 ± 1.0, P = 0.005). The intracellular ROS levels in the ovary on proestrus day and in the oviduct on metestrus day increased significantly in Bmal1 −/− mice compared with that of Bmal1 +/+ mice. Deletion of the core biological clock gene Bmal1 significantly decreases oocyte fertilization rate, early embryo development and implantation potential in female mice, and these may be possibly caused by excess ROS levels generated in ovary and oviduct.

Oviduct

10.1017/s0967199416000083

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Citations (33)

Potential glioblastoma biomarkers identified by mass spectroscopy and iTRAQ labeling

Genes & Diseases (2022)

Ruili Feng Mingyu Chen Luo Guanghong Yanlu Chen Jiao Wang

10.1016/j.gendis.2022.11.010

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HES6: an emerging player in human hematopoiesis

Haematologica (2024)

Jian Xu Wei Du

Not available.

10.3324/haematol.2024.285426

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Thyroid hormones and carnitine in the second trimester negatively affect neonate birth weight: A prospective cohort study

Frontiers in Endocrinology (2023)

Mengmeng Yang Sun Man Chenyu Jiang Qianqian Wu Ying Jiang

Maternal thyroid hormones and carnitine are reported to affect neonate birth weight during the second trimester, which is one of the most important markers for fetal growth and perinatal mortality and morbidity. Nevertheless, the effect of thyroid hormone and carnitine in the second trimester on birth weight has yet to be understood.This was a prospective cohort study with 844 subjects enrolled during the first trimester. Thyroid hormones, free carnitine (C0), neonate birth weight, as well as other related clinical and metabolic data were collected and assessed.Pre-pregnancy weight and body mass index (BMI) as well as neonate birth weight were significantly different among different free thyroxine (FT4) level groups. Maternal weight gain and neonate birth weight varied significantly when grouped by different thyroid-stimulating hormone (TSH) levels. There was a significantly positive correlation between C0 and TSH (r = 0.31), free triiodothyronine (FT3) (r = 0.37), and FT4 (r = 0.59) (all P < 0.001). In addition, a significantly negative influence was found between birth weight and TSH (r = -0.48, P = 0.028), so as C0 (r = -0.55, P < 0.001) and FT4 (r = -0.64, P < 0.001). Further assessment detected a stronger combined effect of C0 and FT4 (P < 0.001) and of C0 and FT3 (P = 0.022) on birth weight.Maternal C0 and thyroid hormones are of great importance in neonate birth weight, and routine examination of C0 and thyroid hormones during the second trimester has a positive effect on the intervention of birth weight.

Thyroid-stimulating hormone

10.3389/fendo.2023.1080969

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Case Report: Identification of Germline Chimerism in Monochorionic Dizygotic Twins

Frontiers in Genetics (2021)

Juan Chen Jian Xu Zhiheng Chen Min-Na Yin Xinyu Guo

Monochorionic twins are generally considered to be monozygotic, as monochorionic dizygotic (MCDZ) twins are extremely rare in natural pregnancies. Several studies have reported this rare occurrence, and most of these pregnancies have been conceived by assisted reproductive technology (ART). These reports mostly focused on MCDZ twin pregnancies and the childhood development of the twins; a follow-up into adulthood and the effect on their reproduction has not been reported. In this case study, we report a case of chimerism in opposite-sex MCDZ twins who were naturally conceived and have reached reproductive maturity. We collected oral mucosal, endometrial, and germ cells from the twins and evaluated their chimerism using single-nucleotide polymorphism (SNP) array and droplet digital PCR (ddPCR). The SNP array showed that they had 4,049 non-allele shared loci, and they inherited nearly 50% informative SNP loci from each parent, confirming that they are dizygotic twins. We found that the female twin had a 46, XX (2)/46, XY (78) karyotype in her peripheral blood. The SNP array confirmed that the female twin and male twin had the same blood haplotype. The ddPCR result showed 92.84 (± 1.80%) chimerism in her blood. In case of chimerism in her germline, the female twin chose preimplantation genetic testing for aneuploidy for her blastocysts. Fortunately, the patient only had blood chimerism. A healthy boy was born at 39 weeks of gestation.

Zygosity

SNP

SNP array

Twin Pregnancy

Monozygotic twin

10.3389/fgene.2021.744890

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The sensitivity and specificity of quantitative sensory testing in screening diabetic peripheral neuropathy of the early stage

Chinese Journal of Postgraduates of Medicine (2011)

Fang Xie Zhong Li-yong Zhang Chunfang Hong Fan Jian Xu

Quantitative sensory testing