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1,568 results on '"YUE, Q"'

1. Identification and Validation of IFI44 as a Novel Biomarker for Primary Sjögren’s Syndrome

Author

Wei B, Yue Q, Ka Y, Sun C, Zhao Y, Ning X, Jin Y, Gao J, Wu Y, and Liu W

Subjects
primary sjögren’s syndrome, machine learning, immune cell infiltration, biomarker, ifi44, Pathology, RB1-214, Therapeutics. Pharmacology, RM1-950
Abstract

Bowen Wei,1,2,&ast; Qingyun Yue,1,2,&ast; Yuxiu Ka,1,2,&ast; Chenyang Sun,1,2 Yuxing Zhao,1,2 Xiaomei Ning,1,2 Yue Jin,1,2 Jingyue Gao,1,2 Yuanhao Wu,1,2 Wei Liu1,2 1Department of Rheumatism and Immunity, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China; 2National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Wei Liu, Email fengshiliuwei@163.comBackground: Primary Sjögren’s syndrome (pSS) is an autoimmune condition marked by lymphocyte infiltration in the exocrine glands. Our study aimed to identify a novel biomarker for pSS to improve its diagnosis and treatment.Methods: The gene expression profiles of pSS were obtained from the Gene Expression Omnibus (GEO) database. The specific differentially expressed genes (DEGs) were screened by the Least Absolute Shrinkage and Selection Operator (LASSO), Random Forest (RF), and Recursive Feature Elimination with Support Vector Machines (SVM-RFE). A biomarker was picked out based on correlation and diagnostic performance, the connection between the biomarker and clinical traits and immune infiltrating cells was explored, and the biomarker’s protein expression level in the serum of pSS patients was detected by enzyme-linked immunosorbent assay (ELISA). The competitive endogenous RNA (ceRNA) network regulated by the biomarker was predicted to verify the reliability of the biomarker in diagnosing pSS.Results: IFI44, XAF1, GBP1, EIF2AK2, IFI27, and IFI6 showed prominent diagnostic ability, with the high accuracy (AUC = 0.859) and significance (R ≥ 0.8) of IFI44 within the training dataset. IFI44 strongly exhibited a negative correlation with resting NK cells, macrophages M0, and eosinophils, and a positive correlation with activated dendritic cells, naive B cells, and activated CD4 memory T cells. Furthermore, IFI44 was significantly positively correlated with clinical traits such as IgG, SSA, SSB, ANA, and ESSDAI, with its protein expression level in the serum of pSS patients being notably elevated compared to controls (p < 0.001). Finally, the ceRNA regulatory network showed that hsa-miR-944, hsa-miR-9-5p, hsa-miR-126-5p, and hsa-miR-335-3p were significantly targeted IFI44, suggesting that IFI44 may serve as a dependable biomarker for pSS.Conclusion: In this study, we dug out IFI44 as a biomarker for pSS, systematically studied the potential regulatory mechanism of IFI44, and verified its reliability as a biomarker for pSS.Keywords: primary Sjögren’s syndrome, machine learning, immune cell infiltration, biomarker, IFI44

Published
2024

3. Background study of the AMoRE-pilot experiment

Author

Agrawal, A., Alenkov, V.V., Aryal, P., Beyer, J., Bhandari, B., Boiko, R.S., Boonin, K., Buzanov, O., Byeon, C.R., Chanthima, N., Cheoun, M.K., Choe, J.S., Choi, Seonho, Choudhury, S., Chung, J.S., Danevich, F.A., Djamal, M., Drung, D., Enss, C., Fleischmann, A., Gangapshev, A.M., Gastaldo, L., Gavrilyuk, Yu.M., Gezhaev, A.M., Gileva, O., Grigorieva, V.D., Gurentsov, V.I., Ha, C., Ha, D.H., Ha, E.J., Hwang, D.H., Jeon, E.J., Jeon, J.A., Jo, H.S., Kaewkhao, J., Kang, C.S., Kang, W.G., Kazalov, V.V., Kempf, S., Khan, A., Khan, S., Kim, D.Y., Kim, G.W., Kim, H.B., Kim, Ho-Jong, Kim, H.J., Kim, H.L., Kim, H.S., Kim, M.B., Kim, S.C., Kim, S.K., Kim, S.R., Kim, Siyeon, Kim, W.T., Kim, Y.D., Kim, Y.H., Kirdsiri, K., Ko, Y.J., Kobychev, V.V., Kornoukhov, V., Kuzminov, V.V., Kwon, D.H., Lee, C.H., Lee, DongYeup, Lee, E.K., Lee, H.J., Lee, H.S., Lee, J., Lee, J.Y., Lee, K.B., Lee, M.H., Lee, M.K., Lee, S.W., Lee, Y.C., Leonard, D.S., Lim, H.S., Mailyan, B., Makarov, E.P., Nyanda, P., Oh, Y., Olsen, S.L., Panasenko, S.I., Park, H.K., Park, H.S., Park, K.S., Park, S.Y., Polischuk, O.G., Prihtiadi, H., Ra, S., Ratkevich, S.S., Rooh, G., Sari, M.B., Seo, J., Seo, K.M., Sharma, B., Shin, K.A., Shlegel, V.N., So, J., Sokur, N.V., Son, J.K., Song, J.W., Srisittipokakun, N., Tretyak, V.I., Wirawan, R., Woo, K.R., Yeon, H.J., Yoon, Y.S., and Yue, Q.

Published
2024
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7. Quantitative Assessment of Pancreatic Fat by Quantitative CT in Type 2 Diabetes Mellitus

Author

Li Z, Yue Q, Chen Y, Zhang Y, and Wan Y

Subjects
pancreatic fat deposition, quantitative computed tomography, type 2 diabetes mellitus, insulin resistance, Medicine (General), R5-920
Abstract

Zhizhen Li,1 Qingmei Yue,2 Yunjin Chen,1 Yifan Zhang,1 Yamin Wan2 1Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People’s Republic of China; 2Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People’s Republic of ChinaCorrespondence: Yamin Wan, Email wanyamin@zzu.edu.cnObjective: To characterize the pancreatic fat deposition (PFD) in patients with type 2 diabetes mellitus (T2DM) by quantitative computed tomography (QCT) and investigate the relationship between PFD and clinical metabolic parameters and islet function.Materials and Methods: A total of 150 patients with T2DM and 93 age-matched healthy subjects underwent QCT to quantify PFD were included. PFD and various biochemical parameters were correlated by statistical methods and multiple stepwise linear regression modeling.Results: PFD measured by QCT in the T2DM group was statistically higher than that in the healthy control group, and the pancreatic CT value was statistically lower than that in the control group. The QCT measured PFD was negatively correlated with the pancreatic CT values (P < 0.001), and positively correlated with triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), visceral fat area (VAT) and insulin resistance index (HOMA-IR) (P < 0.05) in the T2DM patients. Multiple stepwise linear regression analysis identified PFD as the dependent variable factor for T2DM.Conclusion: This study suggests QCT as a reliable technique in measuring PFD in T2DM. High PFD is positively correlated with the degree of insulin resistance and may play an important role in islet cell dysfunction in T2DM.Keywords: pancreatic fat deposition, quantitative computed tomography, type 2 diabetes mellitus, insulin resistance

Published
2022

8. Alpha backgrounds in the AMoRE-Pilot experiment

Author

Alenkov, V., Bae, H. W., Beyer, J., Boiko, R. S., Boonin, K., Buzanov, O., Chanthima, N., Cheoun, M. K., Choi, S. H., Danevich, F. A., Djamal, M., Drung, D., Enss, C., Fleischmann, A., Gangapshev, A., Gastaldo, L., Gavriljuk, Yu. M., Gezhaev, A., Grigoryeva, V. D., Gurentsov, V., Ha, D. H., Ha, C., Ha, E. J., Hahn, I., Jeon, E. J., Jeon, J., Jo, H. S., Kaewkhao, J., Kang, C. S., Kang, S. J., Kang, W. G., Karki, S., Kazalov, V., Khan, A., Khan, S., Kim, D.-Y., Kim, G. W., Kim, H. B., Kim, H. J., Kim, H. L., Kim, H. S., Kim, I., Kim, W. T., Kim, S. R., Kim, S. C., Kim, S. K., Kim, Y. D., Kim, Y. H., Kirdsiri, K., Ko, Y. J., Kobychev, V. V., Kornoukhov, V., Kuz’minov, V., Kwon, D. H., Lee, C., Lee, E. K., Lee, H. J., Lee, H. S., Lee, J., Lee, J. S., Lee, J. Y., Lee, K. B., Lee, M. H., Lee, M. K., Lee, S. H., Lee, S. W., Lee, S. W., Leonard, D. S., Li, J., Li, Y., Limkitjaroenporn, P., Mailyan, B., Makarov, E. P., Oh, S. Y., Oh, Y. M., Gileva, O., Olsen, S., Pabitra, A., Panasenko, S., Pandey, I., Park, C. W., Park, H. K., Park, H. S., Park, K. S., Park, S. Y., Polischuk, O. G., Prihtiadi, H., Ra, S. J., Ratkevich, S., Rooh, G., Sari, M. B., Seo, J., Seo, K. M., Shin, J. W., Shin, K. A., Shlegel, V. N., Siyeon, K., Sokur, N. V., Son, J.-K., Srisittipokakun, N., Toibaev, N., Tretyak, V. I., Wirawan, R., Woo, K. R., Yoon, Y. S., and Yue, Q.

Published
2022
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10. Efficacy of Acupuncture-Related Therapy in the Treatment of Knee Osteoarthritis: A Network Meta-Analysis of Randomized Controlled Trials

Author

Liu W, Fan Y, Wu Y, Hou X, Xue B, Li P, Zhang S, and Yue Q

Subjects
knee osteoarthritis, acupuncture, moxibustion, randomized controlled trials, network meta-analysis, Medicine (General), R5-920
Abstract

Wei Liu,1,2,&ast; Yihua Fan,1,2,&ast; Yuanhao Wu,1,2,&ast; Xu Hou,3 Bin Xue,1,2 Peihao Li,1,2 Shumin Zhang,1,2 Qingyun Yue1,2 1First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, 300193, People’s Republic of China; 2National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, 300381, People’s Republic of China; 3Department of Endocrinology and Metabolic Diseases, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, 250021, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Wei Liu No. 88, Chang Ling Road, Li Qi Zhuang Jie, Xi Qing District, Tianjin, People’s Republic of ChinaEmail fengshiliuwei@163.comObjective: Knee osteoarthritis (KOA) is prevalent in middle-aged and elderly people. This condition negatively affects the quality of life of patients. Although non-steroidal anti-inflammatory drugs (NSAIDs) are often used to relieve symptoms associated with KOA, it is associated with many side effects. Acupuncture and moxibustion therapies have been applied in the treatment of KOA. However, the efficacy of various acupuncture and moxibustion treatments has not been compared.Methods: Randomized controlled trials (RCTs) on the application of acupuncture and moxibustion in the treatment of KOA were searched in English databases and Chinese databases. Data were retrieved from establishment of the database to September 2020. Data analysis was performed using Stata14.0 and GeMTC 0.14.3 softwares.Results: A total of 40 RCTs involving 3215 patients with KOA were retrieved. Network meta-analysis revealed that the fire needle was superior to western medicine, electro-acupuncture, conventional acupuncture, warm needle and sham acupuncture; warm needle was better than conventional acupuncture and western medicine whereas electro-acupuncture was better than conventional acupuncture in improving pain scores in the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Moreover, we found that fire needle and warm needle more effectively improved WOMAC stiffness scores than western medicine and sham moxibustion, whereas electro-acupuncture was superior to western medicine and sham moxibustion in improving WOMAC stiffness scores. Further analysis revealed that fire needle, warm needle and electro-acupuncture were more effective in improving WOMAC joint function scores than conventional acupuncture and western medicine. The fire needle was superior to conventional acupuncture and sham acupuncture, whereas electro-acupuncture was better than western medicine, conventional acupuncture and sham acupuncture in improving visual analogue scale scores.Conclusion: This study shows that fire needle is superior to warm needle and electro-acupuncture, whereas warm needle and electro-acupuncture are better than conventional acupuncture, western medicine, sham moxibustion and sham acupuncture.Keywords: knee osteoarthritis, acupuncture, moxibustion, randomized controlled trials, network meta-analysis

Published
2021

11. Progress of Underground Nuclear Astrophysics Experiment JUNA in China

Author

Liu, W. P., Li, Z. H., He, J. J., Tang, X. D., Lian, G., Su, J., Shen, Y. P., An, Z., Chao, F. Q., Chang, J. J., Chen, L. H., Chen, H., Chen, X. J., Chen, Y. H., Chen, Z. J., Cui, B. Q., Du, X. C., Fang, X., Fu, C. B., Gan, L., Guo, B., Han, Z. Y., Guo, X. Y., He, G. Z., He, J. R., Heger, A., Hou, S. Q., Huang, H. X., Huang, N., Jia, B. L., Jiang, L. Y., Kubono, S., Li, J. M., Li, M. C., Li, K. A., Li, E. T., Li, T., Li, Y. J., Lugaro, M., Luo, X. B., Ma, H. Y., Ma, S. B., Mei, D. M., Nan, W., Nan, W. K., Qi, N. C., Qian, Y. Z., Qin, J. C., Ren, J., Shang, C. S., Sun, L. T., Sun, W. L., Tan, W. P., Tanihata, I., Wang, S., Wang, P., Wang, Y. B., Wu, Q., Xu, S. W., Yan, S. Q., Yang, L. T., Yang, Y., Yu, X. Q., Yue, Q., Zeng, S., Zhang, L., Zhang, H., Zhang, H. Y., Zhang, L. Y., Zhang, N. T., Zhang, P., Zhang, Q. W., Zhang, T., Zhang, X. P., Zhang, X. Z., Zhao, W., Zhou, J. F., and Zhou, Y.

Published
2022
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21. Biosensing of DNA oxidative damage: a model of using glucose meter for non-glucose biomarker detection

Author

Zhu X, Sarwar M, Yue Q, Chen C, and Li CZ

Subjects
8-OHdG, Immunostrip, Point-of-care, POCTs, Biosensor, DNA oxidative damage, Medicine (General), R5-920
Abstract

Xuena Zhu,1 Mehenur Sarwar,1 Qiaoli Yue,2 Chunying Chen,3 Chen-Zhong Li1,4 1Nanobioengineering/Bioelectronics Laboratory, Department of Biomedical Engineering, Florida International University, Miami, FL, USA; 2Department of Chemistry, College of Chemistry and Chemical Engineering, Liao Chen University, Shandong, 3CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, National Center for Nanoscience and Technology, Beijing, 4Key Laboratory of Analytical Chemistry for Life Science of Shaanxi Province, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi’an, People’s Republic of China Abstract: Non-glucose biomarker-DNA oxidative damage biomarker 8-hydroxy-2'-deoxyguanosine (8-OHdG) has been successfully detected using a smartphone-enabled glucose meter. Through a series of immune reactions and enzymatic reactions on a solid lateral flow platform, 8-OHdG concentration has been converted to a relative amount of glucose, and therefore can be detected by conventional glucose meter directly. The device was able to detect 8-OHdG concentrations in phosphate buffer saline as low as 1.73 ng mL-1 with a dynamic range of 1–200 ng mL-1. Considering the inherent advantages of the personal glucose meter, the demonstration of this device, therefore, should provide new opportunities for the monitoring of a wide range of biomarkers and various target analytes in connection with different molecular recognition events. Keywords: 8-OHdG, immunostrip, point-of-care, POCTs, biosensor, DNA oxidative damage

Published
2017

23. Characterization and performance of germanium detectors with sub-keV sensitivities for neutrino and dark matter experiments

Author

Soma, A.K., Singh, M.K., Singh, L., Kumar, G. Kiran, Lin, F.K., Du, Q., Jiang, H., Liu, S.K., Ma, J.L., Sharma, V., Wang, L., Wu, Y.C., Yang, L.T., Zhao, W., Agartioglu, M., Asryan, G., Chang, Y.Y., Chen, J.H., Chuang, Y.C., Deniz, M., Hsu, C.L., Hsu, Y.H., Huang, T.R., Jia, L.P., Kerman, S., Li, H.B., Li, J., Liao, F.T., Liao, H.Y., Lin, C.W., Lin, S.T., Marian, V., Ruan, X.C., Sevda, B., Shen, Y.T., Singh, V., Sonay, A., Su, J., Subrahmanyam, V.S., Tseng, C.H., Wang, J.J., Wong, H.T., Xu, Y., Yang, S.W., Yu, C.X., Yue, Q., and Zeyrek, M.

Published
2016
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25. First results from the AMoRE-Pilot neutrinoless double beta decay experiment

Author

Alenkov, V., Bae, H. W., Beyer, J., Boiko, R. S., Boonin, K., Buzanov, O., Chanthima, N., Cheoun, M. K., Chernyak, D. M., Choe, J. S., Choi, S., Danevich, F. A., Djamal, M., Drung, D., Enss, C., Fleischmann, A., Gangapshev, A. M., Gastaldo, L., Gavriljuk, Yu. M., Gezhaev, A. M., Grigoryeva, V. D., Gurentsov, V. I., Gylova, O., Ha, C., Ha, D. H., Ha, E. J., Hahn, I. S., Jang, C. H., Jeon, E. J., Jeon, J. A., Jo, H. S., Kaewkhao, J., Kang, C. S., Kang, S. J., Kang, W. G., Kazalov, V. V., Kempf, S., Khan, A., Khan, S., Kim, D. Y., Kim, G. W., Kim, H. B., Kim, H. J., Kim, H. L., Kim, H. S., Kim , I., Kim, S. C., Kim, S. G., Kim, S. K., Kim, S. R., Kim, W. T., Kim, Y. D., Kim, Y. H., Kirdsiri, K., Ko, Y. J., Kobychev, V. V., Kornoukhov, V., Kuzminov, V. V., Kwon, D. H., Lee, C., Lee, E. K., Lee, H. J., Lee, H. S., Lee, J. S., Lee, J. Y., Lee, K. B., Lee, M. H., Lee, M. K., Lee, S. W., Lee, S. W., Lee, S. H., Leonard, D., Li, J., Li, J., Li, Y., Limkitjaroenporn, P., Makarov, E. P., Oh, S. Y., Oh, Y. M., Olsen, S. L., Pabitra, A., Panasenko, S. I., Pandey, I., Park, C. W., Park, H. K., Park, H. S., Park, K. S., Park, S. Y., Poda, D. V., Polischuk, O. G., Prihtiadi, H., Ra, S. J., Ratkevich, S. S., Rooh, G., Sari, M. B., Seo, K. M., Shin, J. W., Shin, K. A., Shlegel, V. N., Siyeon, K., So, J. H., Son, J. K., Srisittipokakun, N., Sujita, K., Tretyak, V. I., Wirawan, R., Woo, K. R., Yoon, Y. S., Yue, Q., and Zaman, S. U.

Published
2019
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26. Testing hadronic interaction models using a highly granular silicon–tungsten calorimeter

Author

Bilki, B., Repond, J., Schlereth, J., Xia, L., Deng, Z., Li, Y., Wang, Y., Yue, Q., Yang, Z., Eigen, G., Mikami, Y., Price, T., Watson, N.K., Thomson, M.A., Ward, D.R., Benchekroun, D., Hoummada, A., Khoulaki, Y., Cârloganu, C., Chang, S., Khan, A., Kim, D.H., Kong, D.J., Oh, Y.D., Blazey, G.C., Dyshkant, A., Francis, K., Lima, J.G.R., Salcido, P., Zutshi, V., Boisvert, V., Green, B., Misiejuk, A., Salvatore, F., Kawagoe, K., Miyazaki, Y., Sudo, Y., Suehara, T., Tomita, T., Ueno, H., Yoshioka, T., Apostolakis, J., Folger, G., Ivantchenko, V., Ribon, A., Uzhinskiy, V., Cauwenbergh, S., Tytgat, M., Zaganidis, N., Hostachy, J.-Y., Morin, L., Gadow, K., Göttlicher, P., Günter, C., Krüger, K., Lutz, B., Reinecke, M., Sefkow, F., Feege, N., Garutti, E., Laurien, S., Lu, S., Marchesini, I., Matysek, M., Ramilli, M., Kaplan, A., Norbeck, E., Northacker, D., Onel, Y., Kim, E.J., van Doren, B., Wilson, G.W., Wing, M., Bobchenko, B., Chadeeva, M., Chistov, R., Danilov, M., Drutskoy, A., Epifantsev, A., Markin, O., Mizuk, R., Novikov, E., Popov, V., Rusinov, V., Tarkovsky, E., Besson, D., Popova, E., Gabriel, M., Kiesling, C., Simon, F., Soldner, C., Szalay, M., Tesar, M., Weuste, L., Amjad, M.S., Bonis, J., Callier, S., Conforti di Lorenzo, S., Cornebise, P., Doublet, Ph., Dulucq, F., Faucci-Giannelli, M., Fleury, J., Frisson, T., Kégl, B., van der Kolk, N., Li, H., Martin-Chassard, G., Richard, F., de la Taille, Ch., Pöschl, R., Raux, L., Rouëné, J., Seguin-Moreau, N., Anduze, M., Balagura, V., Becheva, E., Boudry, V., Brient, J-C., Cornat, R., Frotin, M., Gastaldi, F., Magniette, F., Matthieu, A., Mora de Freitas, P., Videau, H., Augustin, J-E., David, J., Ghislain, P., Lacour, D., Lavergne, L., Zacek, J., Cvach, J., Gallus, P., Havranek, M., Janata, M., Kvasnicka, J., Lednicky, D., Marcisovsky, M., Polak, I., Popule, J., Tomasek, L., Tomasek, M., Ruzicka, P., Sicho, P., Smolik, J., Vrba, V., Zalesak, J., Jeans, D., and Götze, M.

Published
2015
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29. Search for exotic interactions of solar neutrinos in the CDEX-10 experiment

Author

Geng, X. P., Yang, L. T., Yue, Q., Kang, K. J., Li, Y. J., An, H. P., C., Greeshma, Chang, J. P., Chen, Y. H., Cheng, J. P., Dai, W. H., Deng, Z., Fang, C. H., Gong, H., Guo, Q. J., Guo, X. Y., He, L., He, S. M., Hu, J. W., Huang, H. X., Huang, T. C., Jia, H. T., Jiang, X., Karmakar, S., Li, H. B., Li, J. M., Li, J., Li, Q. Y., Li, R. M. J., Li, X. Q., Li, Y. L., Liang, Y. F., Liao, B., Lin, F. K., Lin, S. T., Liu, J. X., Liu, S. K., Liu, Y. D., Liu, Y., Liu, Y. Y., Liu, Z. Z., Ma, H., Mao, Y. C., Nie, Q. Y., Ning, J. H., Pan, H., Qi, N. C., Ren, J., Ruan, X. C., She, Z., Singh, M. K., Sun, T. X., Tang, C. J., Tang, W. Y., Tian, Y., Wang, G. F., Wang, L., Wang, Q., Wang, Y. F., Wang, Y. X., Wong, H. T., Wu, S. Y., Wu, Y. C., Xing, H. Y., Xu, R., Xu, Y., Xue, T., Yan, Y. L., Yi, N., Yu, C. X., Yu, H. J., Yue, J. F., Zeng, M., Zeng, Z., Zhang, B. T., Zhang, F. S., Zhang, L., Zhang, Z. H., Zhang, Z. Y., Zhao, K. K., Zhao, M. G., Zhou, J. F., Zhou, Z. Y., and Zhu, J. J.

Subjects
High Energy Physics - Experiment (hep-ex), High Energy Physics - Phenomenology, High Energy Physics - Phenomenology (hep-ph), Physics - Instrumentation and Detectors, FOS: Physical sciences, Instrumentation and Detectors (physics.ins-det), High Energy Physics - Experiment
Abstract

We investigate exotic neutrino interactions using the 205.4 kg$\cdot$day dataset from the CDEX-10 experiment at the China Jinping Underground Laboratory. New constraints on the mass and couplings of new gauge bosons are presented. Two nonstandard neutrino interactions are considered: a $U(1)_{B-L}$ gauge-boson-induced interaction between an active neutrino and electron/nucleus, and a dark-photon-induced interaction between a sterile neutrino and electron/nucleus via kinetic mixing with a photon. This work probes an unexplored parameter space involving sterile neutrino coupling with a dark photon. New laboratory limits are derived on dark photon masses below $1~{\rm eV}/c^{2}$ at some benchmark values of $\Delta m_{41}^{2}$ and $g^{\prime2}{\rm{sin}}^{2}2\theta_{14}$., Comment: 6 pages, 4 figures. Version updated to match PRD version

Published
2022

30. Constraints on sub-GeV dark matter boosted by cosmic rays from the CDEX-10 experiment at the China Jinping Underground Laboratory

Author

Xu, R., Yang, L. T., Yue, Q., Kang, K. J., Li, Y. J., Agartioglu, M., An, H. P., Chang, J. P., Chen, Y. H., Cheng, J. P., Dai, W. H., Deng, Z., Fang, C. H., Geng, X. P., Gong, H., Guo, X. Y., Guo, Q. J., He, L., He, S. M., Hu, J. W., Huang, H. X., Huang, T. C., Jia, H. T., Jiang, X., Li, H. B., Li, J. M., Li, J., Li, Q. Y., Li, R. M. J., Li, X. Q., Li, Y. L., Liang, Y. F., Liao, B., Lin, F. K., Lin, S. T., Liu, S. K., Liu, Y., Liu, Y. D., Liu, Y. Y., Liu, Z. Z., Ma, H., Mao, Y. C., Nie, Q. Y., Ning, J. H., Pan, H., Qi, N. C., Ren, J., Ruan, X. C., Saraswat, K., Sharma, V., She, Z., Singh, M. K., Sun, T. X., Tang, C. J., Tang, W. Y., Tian, Y., Wang, G. F., Wang, L., Wang, Q., Wang, Y., Wang, Y. X., Wong, H. T., Wu, S. Y., Wu, Y. C., Xing, H. Y., Xu, Y., Xue, T., Yan, Y. L., Yeh, C. H., Yi, N., Yu, C. X., Yu, H. J., Yue, J. F., Zeng, M., Zeng, Z., Zhang, B. T., Zhang, F. S., Zhang, L., Zhang, Z. H., Zhang, Z. Y., Zhao, K. K., Zhao, M. G., Zhou, J. F., Zhou, Z. Y., and Zhu, J. J.

Subjects
High Energy Physics - Experiment (hep-ex), High Energy Physics - Phenomenology, High Energy Physics - Phenomenology (hep-ph), Physics - Instrumentation and Detectors, FOS: Physical sciences, Instrumentation and Detectors (physics.ins-det), High Energy Physics - Experiment
Abstract

We present new constraints on light dark matter boosted by cosmic rays (CRDM) using the 205.4 kg day data of the CDEX-10 experiment conducted at the China Jinping Underground Laboratory. The Monte Carlo simulation package CJPL\_ESS was employed to evaluate the Earth shielding effect. Several key factors have been introduced and discussed in our CRDM analysis, including the contributions from heavier CR nuclei than proton and helium, the inhomogeneity of CR distribution, and the impact of the form factor in the Earth attenuation calculation. Our result excludes the dark matter--nucleon elastic scattering cross-section region from $1.7\times 10^{-30}$ to $10^{-26}~\rm cm^2$ for dark matter of 10 keV$/c^2$ to 1 GeV$/c^2$., 9 pages, 7 figures. Version updated to match PRD version

Published
2022

32. Modeling the Charge Collection Efficiency in the Li-diffused Inactive Layer of a P-type Point-Contact Germanium Detector

Author

Dai, W. H., Ma, H., Yue, Q., Yang, L. T., Zeng, Z., Cheng, J. P., and Li, J. L.

Subjects
Physics - Instrumentation and Detectors, FOS: Physical sciences, Instrumentation and Detectors (physics.ins-det)
Abstract

A model of the Li-diffused inactive layer in P-type high purity germanium detectors is built to describe the transportation of charge carriers and calculate the charge collection efficiency therein. The model is applied to calculate charge collection efficiency of a P-type point-contact germanium detector used in rare event physics experiments and validated in another P-type semi-planar germanium detector. The calculated charge collection efficiency curves are well consistent with measurements for both detectors. Effects of the Li doping processes on the charge collection efficiency are discussed based on the model. This model can be easily extended to other P-type germanium detectors, for instance, the P-type broad-energy Ge detector, and the P-type inverted-coaxial point-contact detector., 13 pages, 7 figures

Published
2022

33. Circ-PITX1 Promotes the Progression of Non-Small Cell Lung Cancer Through Regulating the miR-1248/CCND2 Axis

Author

Yue Q, Xu Y, Deng X, Wang S, Qiu J, Qian B, and Zhang Y

Subjects
mir-1248, ccnd2, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, lcsh:RC254-282, non-small cell lung cancer, circ-pitx1
Abstract

Qianyu Yue,* Yanyan Xu,* Xiaoli Deng, Shenglan Wang, Jingman Qiu, Baojiang Qian, Yunhui Zhang Department of Pulmonary and Critical Care Medicine, The First People’s Hospital of Yunnan Province (The Affiliated Hospital of Kunming University of Science and Technology), Kunming, 650032, Yunnan, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yunhui Zhang; Xiaoli DengDepartment of Pulmonary and Critical Care Medicine, The First People’s Hospital of Yunnan Province (The Affiliated Hospital of Kunming University of Science and Technology), No. 157, Jinbi Road, Kunming, 650032, Yunnan, People’s Republic of ChinaTel +86 871-63638515Email Yueqianyu2020@163.com; xeygyc@163.comBackground: Circular RNA (circRNA) is a key regulator of cancer, and it has been proved to be involved in the regulation of cancer progression including non-small cell lung cancer (NSCLC). Circ-PITX1 was found to be a significantly upregulated circRNA in NSCLC, and its role and potential mechanism in NSCLC progression deserve further investigation.Methods: The expression levels of circ-PITX1, microRNA (miR)-1248 and cyclin D2 (CCND2) were examined by quantitative real-time PCR (qRT-PCR). Cell proliferation, apoptosis, cell cycle process, migration and invasion were determined using cell counting kit 8 (CCK8) assay, colony formation assay, flow cytometry, wound healing assay and transwell assay. Xenograft models were built to explore the role of circ-PITX1 in NSCLC tumor growth in vivo. The glycolysis and glutamine metabolism of cells were assessed by detecting the consumptions of glucose and glutamine, cell extracellular acidification rate (ECAR), and the productions of lactate, α-ketoglutaric acid (α-KG) and ATP. The protein levels of hexokinase 2 (HK-2), glutaminase 1 (GLS1) and CCND2 were tested by Western blot (WB) analysis. Dual-luciferase reporter assay and RIP assay were employed to verify the interaction between miR-1248 and circ-PITX1 or CCND2.Results: Circ-PITX1 was upregulated in NSCLC and its silencing could inhibit the proliferation, migration, invasion, cell cycle process, glycolysis, glutamine metabolism, and promote the apoptosis of NSCLC cells in vitro, as well as reduced tumor growth in vivo. In the terms of mechanism, we found that circ-PITX1 could act as a sponge of miR-1248, and miR-1248 could target CCND2. In addition, miR-1248 inhibitor reversed the inhibitory effect of circ-PITX1 knockdown on NSCLC progression. Similarly, CCND2 overexpression also reversed the suppressive effect of miR-1248 on NSCLC progression. Moreover, circ-PITX1 positively regulated CCND2 expression by sponging miR-1248.Conclusion: Circ-PITX1 served as a sponge of miR-1248 to promote NSCLC progression by upregulating CCND2.Keywords: non-small cell lung cancer, circ-PITX1, miR-1248, CCND2

Published
2021

39. Center of mass energy and system-size dependence of photon production at forward rapidity at RHIC

Author

Abelev, B.I., Aggarwal, M.M., Ahammed, Z., Alakhverdyants, A.V., Anderson, B.D., Arkhipkin, D., Averichev, G.S., Badyal, S.K., Balewski, J., Barannikova, O., Barnby, L.S., Baudot, J., Baumgart, S., Beavis, D.R., Bellwied, R., Benedosso, F., Betancourt, M.J., Betts, R.R., Bhasin, A., Bhati, A.K., Bichsel, H., Bielcik, J., Bielcikova, J., Biritz, B., Bland, L.C., Bnzarov, I., Bombara, M., Bonner, B.E., Bouchet, J., Braidot, E., Brandin, A.V., Bruna, E., Bueltmann, S., Burton, T.P., Bystersky, M., Cai, X.Z., Caines, H., Calderón, M., Catu, O., Cebra, D., Cendejas, R., Cervantes, M.C., Chajecki, Z., Chaloupka, P., Chattopadhyay, S., Chen, H.F., Chen, J.H., Chen, J.Y., Cheng, J., Cherney, M., Chikanian, A., Choi, K.E., Christie, W., Clarke, R.F., Codrington, M.J.M., Corliss, R., Cormier, T.M., Cosentino, M.R., Cramer, J.G., Crawford, H.J., Das, D., Das, S., Dash, S., Daugherity, M., De Silva, L.C., Dedovich, T.G., DePhillips, M., Derevschikov, A.A., Derradi de Souza, R., Didenko, L., Djawotho, P., Dogra, S.M., Dong, X., Drachenberg, J.L., Draper, J.E., Dunlop, J.C., Mazumdar, M.R. Dutta, Efimov, L.G., Elhalhuli, E., Elnimr, M., Engelage, J., Eppley, G., Erazmus, B., Estienne, M., Eun, L., Fachini, P., Fatemi, R., Fedorisin, J., Feng, A., Filip, P., Finch, E., Fine, V., Fisyak, Y., Gagliardi, C.A., Gaillard, L., Gangadharan, D.R., Ganti, M.S., Garcia-Solis, E.J., Geromitsos, A., Geurts, F., Ghazikhanian, V., Ghosh, P., Gorbunov, Y.N., Gordon, A., Grebenyuk, O., Grosnick, D., Grube, B., Guertin, S.M., Guimaraes, K.S.F.F., Gupta, A., Gupta, N., Guryn, W., Haag, B., Hallman, T.J., Hamed, A., Harris, J.W., He, W., Heinz, M., Hepplemann, S., Hippolyte, B., Hirsch, A., Hjort, E., Hoffman, A.M., Hoffmann, G.W., Hofman, D.J., Hollis, R.S., Huang, H.Z., Humanic, T.J., Huo, L., Igo, G., Iordanova, A., Jacobs, P., Jacobs, W.W., Jakl, P., Jena, C., Jin, F., Jones, C.L., Jones, P.G., Joseph, J., Judd, E.G., Kabana, S., Kajimoto, K., Kang, K., Kapitan, J., Kauder, K., Keane, D., Kechechyan, A., Kettler, D., Khodyrev, V.Yu., Kikola, D.P., Kiryluk, J., Kisiel, A., Klein, S.R., Knospe, A.G., Kocoloski, A., Koetke, D.D., Konzer, J., Kopytine, M., Koralt, I., Korsch, W., Kotchenda, L., Kouchpil, V., Kravtsov, P., Kravtsov, V.I., Krueger, K., Krus, M., Kuhn, C., Kumar, L., Kurnadi, P., Lamont, M.A.C., Landgraf, J.M., LaPointe, S., Lauret, J., Lebedev, A., Lednicky, R., Lee, C.-H., Lee, J.H., Leight, W., LeVine, M.J., Li, C., Li, N., Li, Y., Lin, G., Lindenbaum, S.J., Lisa, M.A., Liu, F., Liu, H., Liu, J., Liu, L., Ljubicic, T., Llope, W.J., Longacre, R.S., Love, W.A., Lu, Y., Ludlam, T., Ma, G.L., Ma, Y.G., Mahapatra, D.P., Majka, R., Mall, O.I., Mangotra, L.K., Manweiler, R., Margetis, S., Markert, C., Masui, H., Matis, H.S., Matulenko, Yu.A., McDonald, D., McShane, T.S., Meschanin, A., Millner, R., Minaev, N.G., Mioduszewski, S., Mischke, A., Mohanty, B., Mondal, M.M., Morozov, D.A., Munhoz, M.G., Nandi, B.K., Nattrass, C., Nayak, T.K., Nelson, J.M., Netrakanti, P.K., Ng, M.J., Nogach, L.V., Nurushev, S.B., Odyniec, G., Ogawa, A., Okada, H., Okorokov, V., Olson, D., Pachr, M., Page, B.S., Pal, S.K., Pandit, Y., Panebratsev, Y., Pawlak, T., Peitzmann, T., Perevoztchikov, V., Perkins, C., Peryt, W., Phatak, S.C., Pile, P., Planinic, M., Ploskon, M.A., Pluta, J., Plyku, D., Poljak, N., Poskanzer, A.M., Potukuchi, B.V.K.S., Prindle, D., Pruneau, C., Pruthi, N.K., Pujahari, P.R., Putschke, J., Raniwala, R., Raniwala, S., Ray, R.L., Redwine, R., Reed, R., Ridiger, A., Ritter, H.G., Roberts, J.B., Rogachevskiy, O.V., Romero, J.L., Rose, A., Roy, C., Ruan, L., Russcher, M.J., Sahoo, R., Sakai, S., Sakrejda, I., Sakuma, T., Salur, S., Sandweiss, J., Sarsour, M., Schambach, J., Scharenberg, R.P., Schmitz, N., Seger, J., Selyuzhenkov, I., Seyboth, P., Shabetai, A., Shahaliev, E., Shao, M., Sharma, M., Shi, S.S., Shi, X.-H., Sichtermann, E.P., Simon, F., Singaraju, R.N., Skoby, M.J., Smirnov, N., Sorensen, P., Sowinski, J., Spinka, H.M., Srivastava, B., Stanislaus, T.D.S., Staszak, D., Strikhanov, M., Stringfellow, B., Suaide, A.A.P., Suarez, M.C., Subba, N.L., Sumbera, M., Sun, X.M., Sun, Y., Sun, Z., Surrow, B., Symons, T.J.M., Szanto de Toledo, A., Takahashi, J., Tang, A.H., Tang, Z., Tarini, L.H., Tarnowsky, T., Thein, D., Thomas, J.H., Tian, J., Timmins, A.R., Timoshenko, S., Tlusty, D., Tokarev, M., Trainor, T.A., Tram, V.N., Trattner, A.L., Trentalange, S., Tribble, R.E., Tsai, O.D., Ulery, J., Ullrich, T., Underwood, D.G., Van Buren, G., van Leeuwen, M., van Nieuwenhuizen, G., Vanfossen, J.A., Jr., Varma, R., Vasconcelos, G.M.S., Vasiliev, A.N., Videbaek, F., Vigdor, S.E., Viyogi, Y.P., Vokal, S., Voloshin, S.A., Wada, M., Walker, M., Wang, F., Wang, G., Wang, H., Wang, J.S., Wang, Q., Wang, X., Wang, X.L., Wang, Y., Webb, G., Webb, J.C., Westfall, G.D., Whitten, C., Jr., Wieman, H., Wissink, S.W., Witt, R., Wu, Y., Xie, W., Xu, N., Xu, Q.H., Xu, Y., Xu, Z., Yang, Y., Yepes, P., Yip, K., Yoo, I.-K., Yue, Q., Zawisza, M., Zbroszczyk, H., Zhan, W., Zhang, S., Zhang, W.M., Zhang, X.P., Zhang, Y., Zhang, Z.P., Zhao, Y., Zhong, C., Zhou, J., Zhu, X., Zoulkarneev, R., Zoulkarneeva, Y., and Zuo, J.X.

Published
2010
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42. Numb inhibits cell proliferation, invasion, and epithelial–mesenchymal transition through PAK1/β-catenin signaling pathway in ovarian cancer

Author

Liang J, Han B, Zhang Y, and Yue Q

Subjects
animal structures, Numb, ovarian cancer, fungi, embryonic structures, PAK1, Invasion: EMT, β-catenin, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, lcsh:RC254-282, hormones, hormone substitutes, and hormone antagonists
Abstract

Jiabin Liang,1 Bingbing Han,2 Yunhe Zhang,3 Qingfen Yue1 1Department of Gynaecology, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang, Henan 471009, People’s Republic of China; 2Department of Reproductive Medicine, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang, Henan 471009, People’s Republic of China; 3Department of Obstetrics and Gynecology, China Meitan General Hospital, Beijing 100028, People’s Republic of China Objective: The present study aimed to investigate the expression of Numb in ovarian cancer tissues and to assess the effect of Numb on cell proliferation, invasion, and EMT in ovarian cancer. Methods: Real-time PCR and Western blotting were used to detect the mRNA and protein expression of Numb, PAK1, β-catenin, and epithelial–mesenchymal transition (EMT)-related proteins. MTT was employed to check the effect of Numb on proliferation of ovarian cancer cells. Transwell assay was performed to examine the functions of Numb and PAK1 on migration and invasion of ovarian cancer cells. Results: The Numb expression was significantly downregulated while PAK1 and β-catenin were significantly upregulated in both ovarian cancer tissues and cell lines. Silencing of Numb promoted cell proliferation, migration, invasion, and EMT in ovarian cancer cell lines while overexpressed Numb reversed the above effects. Moreover, the EMT process induced by the inhibition of Numb was regulated through Numb-mediated PAK1/β-catenin signaling pathway. Conclusion: Numb was downregulated and associated with cell proliferation, invasion, and EMT in ovarian cancer through regulating PAK1/β-catenin signaling, providing a novel potential biomarker and potential therapeutic target for ovarian cancer. Keywords: Numb, ovarian cancer, PAK1, β-catenin, invasion, EMT

Published
2019

46. Data Fusion of AIRS and CrIMSS Near Surface Air Temperature.

Author

Kalmus, P., Nguyen, H., Roman, J., Wang, T., Yue, Q., Wen, Y., Hobbs, J., and Braverman, A.

Subjects
MULTISENSOR data fusion, SURFACE temperature, ATMOSPHERIC temperature, REMOTE sensing, DROUGHT forecasting, MISSING data (Statistics)
Abstract

We present a near surface air temperature (NSAT) fused data product over the contiguous United States using Level 2 data from the Atmospheric Infrared Sounder, on the Aqua satellite, and the Cross‐track Infrared Microwave Sounding Suite (CrIMSS), on the Suomi National Polar‐orbiting Partnership satellite. We create the fused product using Spatial Statistical Data Fusion, a procedure for fusing multiple data sets by modeling spatial dependence in the data, along with ground station data from NOAA's Integrated Surface Database (ISD) which is used to estimate bias and variance in the input satellite data sets. Our fused NSAT product is produced twice daily and on a 0.25° latitude‐longitude grid. We provide detailed validation using withheld ISD data and comparison with ERA5‐Land reanalysis. The fused gridded product has no missing data; has improved accuracy and precision relative to the input satellite data sets, and comparable accuracy and precision to ERA5‐Land; and includes improved uncertainty estimates. Over the domain of our study, the fused product decreases daytime bias magnitude by 1.7 and 0.5 K, nighttime bias magnitude by 1.5 and 0.2 K, and overall RMSE by 35% and 15% relative to the AIRS and CrIMSS input data sets, respectively. Our method is computationally fast and generalizable, capable of data fusion from multiple data sets estimating the same quantity. Finally, because our product reduces bias, it produces long‐term data sets across multi‐instrument remote sensing records with improved bias stationarity, even as individual missions and their data records begin and end. Plain Language Summary: We have used a data fusion technique called spatial statistical data fusion (SSDF) to create an improved near surface air temperature (NSAT) data set by fusing two separate satellite data sets. NSAT is important for a variety of applications, such as drought, wildfire, and extreme heat research and prediction. The two input NSAT data sets come from the Atmospheric Infrared Sounder (AIRS) instrument on the Aqua satellite, and the Cross‐track Infrared Microwave Sounding suite on the Suomi National Polar‐orbiting Partnership satellite. Our fused NSAT product is produced twice daily and on a 0.25° latitude‐longitude grid. We also performed a detailed validation using withheld reference data (which was not included in the bias‐correction data) and comparison with ERA5‐Land reanalysis. The new fused product has no missing data; has improved accuracy and precision relative to the input satellite data sets, and comparable accuracy and precision to ERA5‐Land; and includes improved uncertainty estimates. SSDF is computationally fast and generalizable, capable of data fusion from multiple data sets so long as they estimate the same quantity. Finally, because our product reduces bias, it provides a means of creating high‐quality continuous long‐term data sets across the years, as individual satellite missions and their data records begin and end. Key Points: We demonstrate spatial statistical fusion for Level 2 remote sensing data sets which estimate the same observableWe introduce a new daily and nightly fused near‐surface air temperature product from satellite hyperspectral sounders over contiguous United StatesThe fused product decreases bias and RMSE by 1 K and 25% respectively relative to input data sets, averaged over the domain of the study [ABSTRACT FROM AUTHOR]

Published
2022
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50. TRIPLE EPIPOLAR IMAGES GENERATION AND MATCHING IN TRISTEREO IMAGING ON THE SAME ORBIT MODE.

Author

Yue, Q. and Tang, X.

Subjects
IMAGE registration, ORBITS (Astronomy), STEREO image, BINOCULAR vision, PLEIADES
Abstract

This paper proposed the method to generate triple epipolar images in tristereo imaging on the same orbit mode. It generated projection tie points based on double projection surface in object space, and designed conversion model from epipolar images to its corresponding original images on the basis of projection tie points and created the RPC of epipolar images. During stereo matching one stereo image pairs are used as the basic pair and proposed the rapid transformation model between the current matching points and the corresponding point on the third image, which accomplished the combination of epipolar stereo matching and object space geometric constraints. After left/right bidirectional matching and occlusion area checking, a third matching was implemented. The cost of occlusion area will use the smallest one among the three and these areas were revamped. SGM was used as the optimization strategy. Experiments in three typical areas using Pleiades and ZY-3 as data recourses show that the loss of precision is negligible in the proposed epipolar image generation method. The proposed matching method combines the best of both object geometric constraint method and isolate epipolar image pair method, and the computational efficiency significantly better than these two methods. Lastly, the precision of the proposed method is significantly better than these two methods in building area and weak texture area. [ABSTRACT FROM AUTHOR]

Published
2022
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