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IL12A signal enhances efficacy of sorafenib plus NK cells immunotherapy to better suppress HCC progression (2016) Mol Cancer Ther, 15, pp. 731-742; Miura, K., Ishioka, M., Minami, S., Horie, Y., Ohshima, S., Goto, T., Toll-like receptor 4 on macrophage promotes the development of steatohepatitis-related hepatocellular carcinoma in mice (2016) J Biol Chem, 291, pp. 11504-11517; Miura, K., Ohnishi, H., Role of gut microbiota and toll-like receptors in nonalcoholic fatty liver disease (2014) World J Gastroenterol, 20, pp. 7381-7391; Dapito, D.H., Mencin, A., Gwak, G.Y., Pradere, J.P., Jang, M.K., Mederacke, I., Promotion of hepatocellular carcinoma by the intestinal microbiota and TLR4 (2012) Cancer Cell, 21, pp. 504-516; Li, W., Xiao, J., Zhou, X., Xu, M., Hu, C., Xu, X., STK4 regulates TLR pathways and protects against chronic inflammation-related hepatocellular carcinoma (2015) J Clin Invest, 125, pp. 4239-4254; Uthaya Kumar, D.B., Chen, C.L., Liu, J.C., Feldman, D.E., Sher, L.S., French, S., TLR4 signaling via NAnoG cooperates with STAT3 to activate twist1 and promote formation of tumor-initiating stem-like cells in livers of mice (2016) Gastroenterology, 150, pp. 707-719; Sepehri, Z., Kiani, Z., Kohan, F., Alavian, S.M., Ghavami, S., Toll like receptor 4 and hepatocellular carcinoma; a systematic review (2017) Life Sci, 179, pp. 80-87; Lin, A., Wang, G., Zhao, H., Zhang, Y., Han, Q., Zhang, C., TLR4 signaling promotes a COX-2/PGE2/STAT3 positive feedback loop in hepatocellular carcinoma (HCC) cells (2016) Oncoimmunology, 5, p. e1074376; Shi, G., Wang, C., Zhang, P., Ji, L., Xu, S., Tan, X., Donor polymorphisms of toll-like receptor 4 rs1927914 associated with the risk of hepatocellular carcinoma recurrence following liver transplantation (2017) Arch Med Res, 48, pp. 553-560; Xu, D., Han, Q., Hou, Z., Zhang, C., Zhang, J., MiR-146a negatively regulates NK cell functions via STAT1 signaling (2017) Cell Mol Immunol, 14, pp. 712-720; Lan, P., Zhang, C., Han, Q., Zhang, J., Tian, Z., Therapeutic recovery of hepatitis b virus (HBV)-induced hepatocyte-intrinsic immune defect reverses systemic adaptive immune tolerance (2013) Hepatology, 58, pp. 73-85; Shalini, S., Nikolic, A., Wilson, C.H., Puccini, J., Sladojevic, N., Finnie, J., Caspase-2 deficiency accelerates chemically induced liver cancer in mice (2016) Cell Death Differ, 23, pp. 1727-1736; Wang, Y., Cai, J., Zeng, X., Chen, Y., Yan, W., Ouyang, Y., Downregulation of toll-like receptor 4 induces suppressive effects on hepatitis b virus-related hepatocellular carcinoma via ERK1/2 signaling (2015) BMC Cancer, 15, p. 821; Hartwell, H.J., Petrosky, K.Y., Fox, J.G., Horseman, N.D., Rogers, A.B., Prolactin prevents hepatocellular carcinoma by restricting innate immune activation of c-myc in mice (2014) Proc Natl Acad Sci U S A, 111, pp. 11455-11460; van de Wijngaart, D.J., Dubbink, H.J., van Royen, M.E., Trapman, J., Jenster, G., Androgen receptor coregulators: Recruitment via the coactivator binding groove (2012) Mol Cell Endocrinol, 352, pp. 57-69; Heemers, H.V., Tindall, D.J., Androgen receptor (AR) coregulators: A diversity of functions converging on and regulating the AR transcriptional complex (2007) Endocr Rev, 28, pp. 778-808; Shi, L., Yan, P., Liang, Y., Sun, Y., Shen, J., Zhou, S., Circular RNA expression is suppressed by androgen receptor (AR)-regulated adenosine deaminase that acts on RNA (ADAR1) in human hepatocellular carcinoma (2017) Cell Death Dis, 8, p. e3171; Shi, L., Lin, H., Li, G., Sun, Y., Shen, J., Xu, J., Cisplatin enhances NK cells immunotherapy efficacy to suppress HCC progression via altering the androgen receptor (AR)-ULBP2 signals (2016) Cancer Lett, 373, pp. 45-56; Jiang, X., Kanda, T., Nakamoto, S., Miyamura, T., Wu, S., Yokosuka, O., Involvement of androgen receptor and glucose-regulated protein 78 kda in human hepatocarcinogenesis (2014) Exp Cell Res, 323, pp. 326-336; Ngo, H.K.C., Kim, D.H., Cha, Y.N., Na, H.K., Surh, Y.J., Nrf2 mutagenic activation drives hepatocarcinogenesis (2017) Cancer Res, 77, pp. 4797-4808; Lin, S.J., Chou, F.J., Li, L., Lin, C.Y., Yeh, S., Chang, C., Natural killer cells suppress enzalutamide resistance and cell invasion in the castration resistant prostate cancer via targeting the androgen receptor splicing variant 7 (ARv7) (2017) Cancer Lett, 398, pp. 62-69; Cheng, M.A., Chou, F.J., Wang, K., Yang, R., Ding, J., Zhang, Q., Androgen receptor (AR) degradation enhancer ASC-J9((R)) in an FDA-approved formulated solution suppresses castration resistant prostate cancer cell growth (2018) Cancer Lett, 417, pp. 182-191 [format_title_en_publication_en_pub_year] => 6f56bdad5a2e3529eb4394694f4b5f1e456480166 [abstract_en] => Background: Androgen receptor (AR) has a role in regulating malignancies and gender disparities in hepatocellular carcinoma (HCC). Recently, TLR4 activation is demonstrated to be required for HCC progression; however, whether and how TLR4 interacts with AR is largely unknown.; Methods: The tumorigenesis was detected in female and male mice induced by DEN/CCL4, then TLR4 and AR signals were detected in liver tissues by qPCR and FACS. The proliferation, colony formation and migration of HCC cell treated with TLR4 agonist LPS, or/and androgen DHT were evaluated in vitro. Furthermore, the expression of TLR4 and AR was detected by IHC in tissue microarray of HCC, and correlation of AR and TLR4 was defined.; Results: Male mice are more susceptible to develop HCC than female mice. Meanwhile, we found baseline TLR4 levels were higher in male mice than in female mice. AR expression in male mice was increased by treatment with DEN/CCL4. And, AR was constitutively expressed in human HCC cell lines. Dihydrotestosterone (DHT) stimulated TLR4 expression in both HepG2 and HepG2 2.15 cells, which could be blocked by silencing AR. On the other hand, treatment with LPS stimulated AR expression, but it was blocked by treatment with TLR4 antagonist and in cells deficient for TLR4. DHT treatment exacerbated TLR4-induced cellular proliferation, colony formation, migration, and invasion of HepG2 cells. The positive relationship between AR and TLR4 was confirmed in human HCC samples.; Conclusions: DHT-AR-TLR4 signaling enhances the development of HCC cells and facilitates their migration and invasion, demonstrating a mechanism underlying gender disparity in HCC. [scopus_id] => 55416640400;57213836522;57204707893;36018041700; [from_id] => 76,73 [cauthor_ad] => [Zhang, J]Shandong Univ, Sch Pharmaceut Sci, Inst Immunopharmaceut Sci, Jinan 250012, Shandong, Peoples R China. [hx_id] => 2378,2371 [doi] => 10.7150/jca.30682 [datebase] => Scopus [sys_level_num] => 15_6 [sys_jg_type] => 11 [format_issn_issue_page_pub_year] => 1673065a8cc6ffc1db822699bcaaa4e0-1925113239 [title_en] => Androgen Receptor (AR)-TLR4 Crosstalk Mediates Gender Disparities in Hepatocellular Carcinoma Incidence and Progression [index_keyword] => androgen receptor; androstanolone; carbon tetrachloride; lipopolysaccharide; messenger RNA; toll like receptor 4; animal cell; animal experiment; animal model; animal tissue; Article; cancer growth; cancer incidence; carcinogenesis; cell invasion; cell migration; cell proliferation; colony formation; controlled study; female; fluorescence activated cell sorting; human; human tissue; immunofluorescence test; liver cell; liver cell carcinoma; liver tissue; male; mouse; nonhuman; protein expression; real time polymerase chain reaction; sex difference; tissue microarray; Western blotting [volume] => 11 [source_type] => 351 [pub_year] => 2020 [keyword_en] => AR; Gender bias; TLR4; Hepatocellular Carcinoma [article_id] => 819421,812476 [begin_page] => 1094 [hints] => 0 [publisher] => IVYSPRING INT PUBL [substance] => androstanolone, 521-18-6; carbon tetrachloride, 56-23-5; toll like receptor 4, 203811-83-0 [language] => English [issue] => 5 [issn] => 1837-9664 [batch] => 3422,3424 [publication_en] => JOURNAL OF CANCER [email] => zhangj65@sdu.edu.cn [sys_update_time] => 2020-03-13 09:56:09 [format_title_en_issn_pub_year] => d6e8382dbb08ac734048c1de2d619426150854751 [publication_iso] => J. Cancer [SYS_TAG] => 3 [end_page] => 1103 [page] => 1094-1103 [hb_type] => 2 [article_dt] => Article [hb_batch] => grant_no [cite_wos] => 0 [check_3Y] => 0 [delivery_No] => JW1OU [format_title] => [author_fn] => Han, Qiuju; Yang, Dan; Yin, Chunlai; Zhang, Jian [pages] => 10 [publication_29] => J CANCER [open_type] => DOAJ Gold, Green Published [pubmedID] => 31956356 [publication_type] => J [get_data] => 2020-03-06 [format_publication_cn] => [keyword_plu] => RESISTANT PROSTATE-CANCER; NK CELLS IMMUNOTHERAPY; HEPATITIS-B-VIRUS; ACTIVATION; HCC; COREGULATORS; MICROBIOTA; PROMOTES; EFFICACY [fund_ab] => This work was supported Shandong Provincial Key Research and Development; Program [grant number 2017GSF18159] and Shandong Provincial Natural; Science Foundation, China [grant number ZR2017BH029] and the Fundamental; Research Fund of Shandong University (2017JC004). [format_title_en] => 81ad23dd8726890242e9d6dabf51d327231092549 [publisher_city] => LAKE HAVEN [cauthor_order] => 4 [reference_No] => 34 [cite_awos] => 0 [wos_No] => WOS:000502829400011 [sys_priority_field] => 73 [format_wos_No] => 7a35e2d1c7d068cb8a18bd99f6a169d0-1232514087 [wos_sub] => Oncology [research_area] => Oncology [cauthor_back] => Zhang, J [check_180] => 0 [publisher_ad] => PO BOX 4546, LAKE HAVEN, NSW 2263, AUSTRALIA [format_publication_en] => dad2f4de504f5b4b9d946e945cae5e5c1034412683 [jl_language] => english [jl_article_dt] => 期刊论文 [jl_publication_en] => journalofcancer [jl_country] => 中国 [jl_keyword_en] => ar,tlr4,genderbias,hepatocellularcarcinoma [sys_author_in_last_arr] => peoplesrchina [jl_publisher] => ivyspringintpubl [company_id] => 0,174 [author_id] => 21049,25453,25452,25457,25456,25455,25445,25446,25447 [author_test] => Array ( [0] => Array ( [sure] => 0 [irmagnum] => 0 [u_index] => 1 [name] => 韩秋菊 [irtag] => 7 [t_index] => 0 [person_id] => 21049 ) [1] => Array ( [sure] => 0 [irmagnum] => 0 [u_index] => 4 [name] => 张健 [irtag] => 7 [t_index] => 4 [person_id] => 25457 ) [2] => Array ( [sure] => 0 [irmagnum] => 0 [u_index] => 4 [name] => 张剑 [irtag] => 7 [t_index] => 4 [person_id] => 25453 ) [3] => Array ( [sure] => 0 [irmagnum] => 0 [u_index] => 4 [name] => 张健 [irtag] => 7 [t_index] => 4 [person_id] => 25455 ) [4] => Array ( [sure] => 0 [irmagnum] => 0 [u_index] => 4 [name] => 张健 [irtag] => 7 [t_index] => 4 [person_id] => 25456 ) [5] => Array ( [sure] => 0 [irmagnum] => 0 [u_index] => 4 [name] => 张剑 [irtag] => 7 [t_index] => 4 [person_id] => 25452 ) [6] => Array ( [sure] => 0 [irmagnum] => 0 [u_index] => 4 [name] => 张嘉宁 [irtag] => 7 [t_index] => 4 [person_id] => 25445 ) [7] => Array ( [sure] => 0 [irmagnum] => 0 [u_index] => 4 [name] => 张建 [irtag] => 7 [t_index] => 4 [person_id] => 25446 ) [8] => Array ( [sure] => 0 [irmagnum] => 0 [u_index] => 4 [name] => 张建 [irtag] => 7 [t_index] => 4 [person_id] => 25447 ) ) [sys_subject_sort] => 0 [college_parent_id] => 174 [company_test] => Array [id] => RAA003ABe-eYmRww6g3I [tags] => 0 ) [17] => Array ( [cauthor] => Zhang, Ya-Nan(nn8210@126.com) [issn] => 0013-4686 [school_id] => 117 [controlled_terms] => Efficiency - Electron transport properties - II-VI semiconductors - Metal nanoparticles - Nanostructured materials - Organometallics - Perovskite - Perovskite solar cells - Zinc oxide - ZnO nanoparticles [batch2] => 15 [hb_batch] => 3418 [ei_No] => 20194807739516 [tag] => 0 [author_en] => Zhang, YN; Li, B; Fu, L; Li, Q; Yin, LW [sys_level_num] => 15_8 [abstract_en] => We adopt Metal-Organic-Framework (MOF)-derived zinc oxide (ZnO) as electron extraction material for hybrid cationic perovskite solar cells for the first time, breaking the prevailing paradigm of using oxides nanoparticle as electron extraction layer. MOF-derived ZnO with a polyhedral morphology and abundant internal porous structure can increase light harvesting ability and optimize the interfacial contact with perovskite. In contrast to conventional ZnO nanoparticles, the introduction of MOF-derived ZnO will achieve more efficient electron extraction, reduction of trapped state density and lower electron-hole recombination probability, thus significantly increase the fill factor and short-circuit current density of the cells. MOF-derived ZnO based perovskite solar cells exhibit a champion power conversion efficiency of 18.1% coupled with improved fill factor of 0.74 and short-circuit current density of 22.1 mA cm(-2). Simultaneously, there is almost no hysteresis effect, and performance attenuation of the device in the ambient atmosphere over time can be suppressed. The performance improvement of perovskite solar cells stems from improved light harvesting efficiency in a wide wavelength range, as well as enhanced carrier extraction efficiency resulted from the increase of interface area between MOF-derived ZnO and perovskites. (C) 2019 Elsevier Ltd. All rights reserved. [format_doi] => edd024814f9af52944ffc180aeb00390-1921312656 [sys_update_time] => 2020-03-13 09:40:17 [cauthor_back] => Zhang, YaNan@@@Zhang, YN@@@Yin, LW [format_title_en_publication_en_pub_year] => cdde4c68c7e053b8ec60b595670907eb-1663643379 [classification_No] => 482.2 Minerals - 761 Nanotechnology - 802.3 Chemical Operations - 804.1 Organic Compounds - 804.2 Inorganic Compounds - 913.1 Production Engineering [document_No] => 135280 [main_eword] => Extraction [format_ei_No] => 77390d46d3eea81521ecee6cd51f3bb195642642 [from_id] => 76,74,73 [email] => nn8210@126.com; yinlw@sdu.edu.cn [classification_pub] => ELCAA [datebase] => Scopus [numerical_index] => Percentage 1.81e+01% [sys_jg_type] => 11,3 [title_en] => MOF-derived ZnO as electron transport layer for improving light harvesting and electron extraction efficiency in perovskite solar cells [volume] => 330 [author_fn] => Zhang, Ya-Nan; Li, Bo; Fu, Lin; Li, Qun; Yin, Long-Wei [pub_year] => 2020 [pub_date] => JAN 10 [hints] => 0 [publisher] => PERGAMON-ELSEVIER SCIENCE LTD [doi] => 10.1016/j.electacta.2019.135280 [language] => English [source_type] => 351 [reference_No] => 46 [batch] => 3422,3418,3424 [publication_en] => ELECTROCHIMICA ACTA [hx_id] => 2376,2378,2371 [author_in] => [Zhang, Ya-Nan; Li, Qun] Taishan Univ, Coll Chem & Chem Engn, Tai An 271021, Shandong, Peoples R China.@@@ [Zhang, Ya-Nan; Li, Bo; Fu, Lin; Yin, Long-Wei] Shandong Univ, Sch Mat Sci & Engn, Minist Educ, Key Lab Liquid Solid Struct Evolut & Proc Mat, Jinan 250061, Shandong, Peoples R China. [format_title_en_issn_pub_year] => bc86e680b5c478f144d6c97be47b21b5-47727519 [article_id] => 813059,809060,814471 [cauthor_order] => 1,1,5 [uncontrolled_terms] => Electron extraction - Electron transport layers - Electron-hole recombination - Interfacial contact - Light-harvesting - Metal organic framework - Polyhedral morphologies - Power conversion efficiencies [SYS_TAG] => 3 [hb_type] => 2 [article_dt] => Article [fund_No] => National Nature Science Foundation of ChinaNational Natural Science; Foundation of China [51702228, 51872171]; Shandong Province Natural; Science FoundationNatural Science Foundation of Shandong Province; [ZR2017BEM014, ZR201801290005]; Tai\'an Science and Technology; Development Plan [2018GX0075]; Talent Introduction Project of Taishan; University [Y-01-2018017]; Shandong Province Higher Educational Science; and Technology Program [J17KA023] [index_keyword] => Efficiency; Electron transport properties; II-VI semiconductors; Metal nanoparticles; Nanostructured materials; Organometallics; Perovskite; Perovskite solar cells; Zinc oxide; ZnO nanoparticles; Electron extraction; Electron transport layers; Electron-hole recombination; Interfacial contact; Light-harvesting; Metal organic framework; Polyhedral morphologies; Power conversion efficiencies; Extraction [format_title] => [reference] => Zhou, T., Wang, M., Zang, Z., Fang, L., Stable dynamics performance and high efficiency of ABX3 -type super-alkali perovskites first obtained by introducing H5O2 cation (2019) Adv. 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Sci., 9, pp. 3071-3078; Eperon, G.E., Burlakov, V.M., Docampo, P., Goriely, A., Snaith, H.J., Morphological control for high performance, solution-processed planar heterojunction perovskite solar cells (2014) Adv. Funct. Mater., 24, pp. 151-157; Kim, H.S., Lee, J.W., Yantara, N., Boix, P.P., Kulkarni, S.A., Mhaisalkar, S., Gratzel, M., Park, N.G., High efficiency solid-state sensitized solar cell-based on submicrometer rutile TiO2 Nanorod and CH3NH3PbI3 perovskite sensitizer (2013) Nano Lett., 13, pp. 2412-2417; Song, J., Liu, L., Wang, X., Chen, G., Tian, W., Miyasaka, T., Highly efficient and stable low-temperature processed ZnO solar cells with triple cation perovskite absorber (2017) J. Mater. Chem., 5, pp. 13439-13447; An, Q., Fassl, P., Hofstetter, Y.J., Becker-Koch, D., Bausch, A., Hopkinson, P.E., Vaynzof, Y., High performance planar perovskite solar cells by ZnO electron transport layer engineering (2017) Nano Energy, 39, pp. 400-408 [scopus_id] => 57191041374;57188640408;57201299371;57211305406;57204699375; [format_scopus_No] => d4f8cbdc61adfa5eb90a79fe4d2ec32c-684350980 [keyword_en] => MOF-Derived ZnO; Perovskite solar cells; Electron extraction; Light; harvesting [format_publication_cn] => [publication_iso] => Electrochim. Acta [format_title_en] => 6dd5862c438dfdec3b334c242395e344-1433422047 [sys_priority_field] => 73 [uri] => https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075368717&doi=10.1016%2fj.electacta.2019.135280&partnerID=40&md5=44103fdb0b2a9c678426f92a4cb32e23 [standard_in] => College of Chemistry and Chemical Engineering, Taishan University, Tai\'an, 271021, China; Key Laboratory for Liquid-Solid Structural Evolution and Processing of Materials, Ministry of Education, School of Materials Science and Engineering, Shandong University, Jinan, 250061, China [scopus_No] => 2-s2.0-85075368717 [format_publication_en] => 25bcaeab36355738c969ca0dd04ccab5-570936206 [cite_wos] => 0 [check_3Y] => 20 [delivery_No] => JU1WV [cauthor_ad] => [Zhang, YN; Yin, LW]Shandong Univ, Sch Mat Sci & Engn, Minist Educ, Key Lab Liquid Solid Struct Evolut & Proc Mat, Jinan 250061, Shandong, Peoples R China. [pages] => 8 [publication_29] => ELECTROCHIM ACTA [eissn] => 1873-3859 [publication_type] => J [get_data] => 2020-03-06 [keyword_plu] => HIGHLY EFFICIENT; LEAD HALIDE; THIN-FILMS; PERFORMANCE; NANOSTRUCTURES; MORPHOLOGY; NM [fund_ab] => This work was supported by the National Nature Science Foundation of; China (No.: 51702228, 51872171), Shandong Province Natural Science; Foundation (ZR2017BEM014, ZR201801290005), Tai\'an Science and Technology; Development Plan (2018GX0075), the Talent Introduction Project of; Taishan University (Y-01-2018017) and Shandong Province Higher; Educational Science and Technology Program (J17KA023). 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State Grid Anhui Electric Power Company, Hefei, Anhui, 230061, China; First Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250014, China [cauthor] => Huang, Y(huang_yan74@163.com) [school_id] => 117 [scopus_No] => 2-s2.0-85079398959 [batch2] => 15 [uri] => https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079398959&doi=10.1155%2f2020%2f1782531&partnerID=40&md5=1a78a4b5021899c45d01c40374e5b15b [tag] => 0 [author_en] => Sun, LM; Kong, Q; Huang, Y; Yang, JS; Wang, SS; Zou, RQ; Yin, YL; Peng, JL [format_scopus_No] => 36dbaad2f23b5de8e73be1358cb892a5462395728 [format_doi] => d1c5b901831682136764b3ea5270d911-1794586774 [sys_update_time] => 2020-03-13 09:56:09 [fund_No] => National Natural Science Foundation of ChinaNational Natural Science; Foundation of China [61872398] [reference] => Subburaj, K., Ravi, B., Agarwal, M., Automated identification of anatomical landmarks on 3d bone models reconstructed from CT scan images (2009) Computerized Medical Imaging and Graphics, 33 (5), pp. 359-368. , 2-s2.0-67349129682; 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Therefore, we develop a prototype CAD system for automatic measurement and diagnosis. We firstly segment the patella and the femur regions on the CT images and then measure two geometric quantities, patellar tilt angle (PTA), and patellar lateral shift (PLS) automatically on the segmentation results, which are finally used to assist in diagnoses. The proposed quantities are proved valid and the proposed algorithms are proved effective by experiments. [scopus_id] => 57214882697;56103969300;57214880764;57212326631;56104118800;56104051700;8981026100;7401958611; [from_id] => 76,73 [cauthor_ad] => [Huang, Y]Shandong Univ, Sch Software, Jinan 250101, Shandong, Peoples R China@@@[Yang, JS]Shandong Univ Tradit Chinese Med, Affiliated Hosp 1, Jinan 250014, Shandong, Peoples R China. [hx_id] => 2378,2371 [datebase] => Scopus [sys_level_num] => 15_6 [sys_jg_type] => 11 [title_en] => Automatic Segmentation and Measurement on Knee Computerized Tomography Images for Patellar Dislocation Diagnosis [author_in] => [Sun, Limin; Huang, Yan; Yin, Yilong; Peng, Jingliang] Shandong Univ, Sch Software, Jinan 250101, Shandong, Peoples R China.@@@ [Kong, Qi] State Grid Anhui Elect Power Co, Hefei 230061, Anhui, Peoples R China.@@@ [Yang, Jiushan; Wang, Shaoshan; Zou, Ruiqi] Shandong Univ Tradit Chinese Med, Affiliated Hosp 1, Jinan 250014, Shandong, Peoples R China. [volume] => 2020 [source_type] => 351 [pub_year] => 2020 [article_id] => 819359,813444 [hints] => 1 [publisher] => HINDAWI LTD [doi] => 10.1155/2020/1782531 [language] => English [issn] => 1748-670X [batch] => 3422,3424 [publication_en] => COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE [email] => sunliminsdu@163.com; lindaxian@yeah.net; huang_yan74@163.com;; yangjiushan@163.com; shaoshan278@sohu.com; zrq197935@163.com;; ylyin@sdu.edu.cn; jingliap@163.com [document_No] => 1782531 [format_title_en_issn_pub_year] => 2ecc7093c334a1fd2bd45bdae955e8c4687151721 [publication_iso] => Comput. Math. Method Med. [SYS_TAG] => 3 [hb_type] => 2 [article_dt] => Article [hb_batch] => grant_no [cite_wos] => 0 [check_3Y] => 0 [delivery_No] => KN1LE [format_title] => [author_fn] => Sun, Limin; Kong, Qi; Huang, Yan; Yang, Jiushan; Wang, Shaoshan; Zou, Ruiqi; Yin, Yilong; Peng, Jingliang [pages] => 13 [publication_29] => COMPUT MATH METHOD M [open_type] => DOAJ Gold [eissn] => 1748-6718 [publication_type] => J [get_data] => 2020-03-06 [format_publication_cn] => [keyword_plu] => ACTIVE CONTOURS DRIVEN; BIAS FIELD ESTIMATION [fund_ab] => The authors thank Xian Wu for his help in rendering the images for; Figure 2. This work was supported by the National Natural Science; Foundation of China (grant no. 61872398). [format_title_en] => 163c222f083bcd3d358cc7a37e6e282f1416914484 [publisher_city] => LONDON [pub_date] => JAN 28 [cauthor_order] => 3,4 [reference_No] => 36 [cite_awos] => 0 [wos_No] => WOS:000514600200001 [sys_priority_field] => 73 [format_wos_No] => 662c98a398061ebfd89c80238ef424aa-1440434370 [wos_sub] => Mathematical & Computational Biology [research_area] => Mathematical & Computational Biology [cauthor_back] => Huang, Y@@@Yang, JS [check_180] => 0 [publisher_ad] => ADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON, W1T 5HF, ENGLAND [format_publication_en] => 10d802888c1b0289d64f731bb0ed1c561299717500 [jl_language] => english [jl_article_dt] => 期刊论文 [jl_publication_en] => computationalandmathematicalmethodsinmedicine [jl_country] => 中国 [sys_author_in_last_arr] => peoplesrchina [jl_publisher] => hindawiltd [company_id] => 0 [author_id] => 23020,25114,21296 [author_test] => Array ( [0] => Array ( [sure] => 0 [irmagnum] => 0 [u_index] => 3 [name] => 黄燕 [irtag] => 7 [t_index] => 3 [person_id] => 21296 ) [1] => Array ( [sure] => 0 [irmagnum] => 0 [u_index] => 8 [name] => 彭京亮 [irtag] => 7 [t_index] => 0 [person_id] => 23020 ) [2] => Array ( [sure] => 0 [irmagnum] => 0 [u_index] => 7 [name] => 尹义龙 [irtag] => 7 [t_index] => 0 [person_id] => 25114 ) ) [id] => BgA003ABe-eYmRww6A0C [tags] => 0 ) [19] => Array ( [cauthor] => Cui, Chaoran(crcui@sdufe.edu.cn) [issn] => 0020-0255 [school_id] => 117 [controlled_terms] => Collaborative filtering - Deep neural networks - Network architecture [batch2] => 15 [hb_batch] => 3418 [ei_No] => 20194307587525 [tag] => 0 [author_en] => Cui, CR; Yang, WY; Shi, C; Wang, M; Nie, XS; Yin, YL [abstract_en] => Personalization is emerging as a key research objective for image aesthetics assessment, and how to incorporate personal preferences into aesthetics models is a crucial issue to be solved. Prior studies usually require users to explicitly express their aesthetic preferences in certain ways, which are time-consuming and labor-intensive. In this paper, inspired by the observation that human cognition and behavior influence each other, we propose to sense user aesthetic preferences from their favoring behavior on social media platforms. In this manner, personalized image aesthetics assessment can be realized without adding any extra burden to users. Towards this goal, we gather user favoring behavior over professional social photos and consider both user personal preference and common aesthetic standard to deal with the unreliability of user favoring behavior. Besides, we follow the idea of collaborative filtering and optimize the pairwise ranking between images to alleviate the data sparsity problem. Finally, a deep neural network architecture is developed for personalized aesthetics modeling. A simulated evaluation is carried out on two benchmark aesthetics datasets, even though users\' true preferences cannot be directly observed. The results demonstrate the potential of our approach for personalized image aesthetics assessment. (C) 2019 Elsevier Inc. All rights reserved. [format_doi] => 2e057d2042117c41c871550ca534d886-877719172 [author_in] => [Cui, Chaoran; Yang, Wenya; Nie, Xiushan] Shandong Univ Finance & Econ, Sch Comp Sci & Technol, Jinan 250014, Shandong, Peoples R China.@@@ [Shi, Cheng] Shandong Univ, Sch Comp Sci & Technol, Jinan 250101, Shandong, Peoples R China.@@@ [Wang, Meng] Hefei Univ Technol, Sch Comp Sci & Informat Engn, Hefei 230601, Anhui, Peoples R China.@@@ [Yin, Yilong] Shandong Univ, Sch Software, Jinan 250101, Shandong, Peoples R China. [cauthor_back] => Cui, Chaoran@@@Cui, CR [format_title_en_publication_en_pub_year] => 129e38e20865d40cdcbf8f894a3db7761500262005 [classification_No] => 903.1 Information Sources and Analysis - 971 Social Sciences [main_eword] => Behavioral research [format_ei_No] => ea9a87ffea187e2b830a954365eb0e4e-284876897 [from_id] => 74,73 [email] => crcui@sdufe.edu.cn; niexsh@sdufe.edu.cn; ylyin@sdu.edu.cn [classification_pub] => ISIJBC [datebase] => Compendex;Compilation and indexing terms, Copyright 2020 Elsevier Inc. [sys_level_num] => 15_8 [sys_jg_type] => 11,9 [title_en] => Personalized image quality assessment with Social-Sensed aesthetic preference [volume] => 512 [author_fn] => Cui, Chaoran; Yang, Wenya; Shi, Cheng; Wang, Meng; Nie, Xiushan; Yin, Yilong [pub_year] => 2020 [pub_date] => FEB [begin_page] => 780 [hints] => 1 [publisher] => ELSEVIER SCIENCE INC [doi] => 10.1016/j.ins.2019.10.011 [language] => English [source_type] => 351 [reference_No] => 50 [batch] => 3422,3418 [publication_en] => INFORMATION SCIENCES [hx_id] => 2376,2371 [sys_update_time] => 2020-03-13 09:40:15 [format_title_en_issn_pub_year] => 32c145a375baf5326cbc4648c9c3f963-1078416611 [article_id] => 813703,809727 [cauthor_order] => 1,1 [uncontrolled_terms] => Aesthetic preference - Data sparsity problems - Image Aesthetics - Image quality assessment - Personal preferences - Personalizations - Social media platforms - Social sense [SYS_TAG] => 3 [end_page] => 794 [page] => 780-794 [hb_type] => 2 [article_dt] => Article [cite_wos] => 0 [fund_No] => National Natural Science Foundation of ChinaNational Natural Science; Foundation of China [61701281, 61876098, 61671274, 61573219]; Shandong; Provincial Natural Science FoundationNatural Science Foundation of; Shandong Province [ZR2017QF009]; Fostering Project of Dominant; Discipline and Talent Team of Shandong Province Higher Education; Institutions [check_3Y] => 4 [delivery_No] => JZ0ET [format_title] => [cauthor_ad] => [Cui, CR]Shandong Univ Finance & Econ, Sch Comp Sci & Technol, Jinan 250014, Shandong, Peoples R China. [pages] => 15 [publication_29] => INFORM SCIENCES [eissn] => 1872-6291 [publication_type] => J [get_data] => 2020-03-06 [keyword_en] => Image aesthetics assessment; Personalization; Aesthetic preference; modeling; Social sense [format_publication_cn] => [publication_iso] => Inf. Sci. [fund_ab] => This work was supported by the National Natural Science Foundation of; China under Grant 61701281, Grant 61876098, Grant 61671274, and Grant; 61573219, by Shandong Provincial Natural Science Foundation under Grant; ZR2017QF009, and by the Fostering Project of Dominant Discipline and; Talent Team of Shandong Province Higher Education Institutions. 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