110,361 research outputs found
FIGURE 3. Carex daxinensis Y. Y. Zhou & X. F in Notes on Carex (Cyperaceae) from China: three new species
No full textFIGURE 3. Carex daxinensis Y. Y. Zhou & X. F. Jin, sp. nov. (A) habit; (B) staminate scale; (C) pistillate scale; (D) perigynium; (E) achene (drawn by Xiao-Feng Jin from holotype in HTC).Published as part of Zhou, Ying-Ying & Jin, Xiao-Feng, 2014, Notes on Carex (Cyperaceae) from China: three new species, pp. 133-140 in Phytotaxa 164 (2) on page 136, DOI: 10.11646/phytotaxa.164.2.7, http://zenodo.org/record/513266
Supplemental Material - Methyltransferase-like 3 modulates visceral hypersensitivity through regulating the nuclear export of circKcnk9 in YTHDC1-dependent manner
No full textSupplemental Material for Methyltransferase-like 3 modulates visceral hypersensitivity through regulating the nuclear export of circKcnk9 in YTHDC1-dependent manner by Wei Lin, Yuan Liu, Yifei Zhou, Mengying Lin, Congxu Liu, Ying Tang, Bin Wu and Chun Lin in Molecular Pain</p
Supplemental Material - Methyltransferase-like 3 modulates visceral hypersensitivity through regulating the nuclear export of circKcnk9 in YTHDC1-dependent manner
No full textSupplemental Material for Methyltransferase-like 3 modulates visceral hypersensitivity through regulating the nuclear export of circKcnk9 in YTHDC1-dependent manner by Wei Lin, Yuan Liu, Yifei Zhou, Mengying Lin, Congxu Liu, Ying Tang, Bin Wu and Chun Lin in Molecular Pain</p
Iterative regularization for learning with convex loss functions
No full textWe consider the problem of supervised learning with convex loss functions and propose a new form of iterative regularization based on the subgradient method. Unlike other regularization approaches, in iterative regularization no constraint or penalization is considered, and generalization is achieved by (early) stopping an empirical iteration. We consider a nonparametric setting, in the framework of reproducing kernel Hilbert spaces, and prove consistency and finite sample bounds on the excess risk under general regularity conditions. Our study provides a new class of efficient regularized learning algorithms and gives insights on the interplay between statistics and optimization in machine learning. ©2016 Junhong Lin, Lorenzo Rosasco and Ding-Xuan Zhou
Supplemental Material, S2-98_radiation-responsive_proteins - Proteomic Profiling for Serum Biomarkers in Mice Exposed to Ionizing Radiation
No full textSupplemental Material, S2-98_radiation-responsive_proteins for Proteomic Profiling for Serum Biomarkers in Mice Exposed to Ionizing Radiation by Jinfeng Huang, Qi Wang, Yingchun Hu, Zhenhua Qi, Zhongwu Lin, Wantao Ying and Meijuan Zhou in Dose-Response</p
Supplemental Material, S1-452_proteins_expression_profiling - Proteomic Profiling for Serum Biomarkers in Mice Exposed to Ionizing Radiation
No full textSupplemental Material, S1-452_proteins_expression_profiling for Proteomic Profiling for Serum Biomarkers in Mice Exposed to Ionizing Radiation by Jinfeng Huang, Qi Wang, Yingchun Hu, Zhenhua Qi, Zhongwu Lin, Wantao Ying and Meijuan Zhou in Dose-Response</p
Supplemental Material, S3-GO_analysis_of_98_radiation-responsive_proteins - Proteomic Profiling for Serum Biomarkers in Mice Exposed to Ionizing Radiation
No full textSupplemental Material, S3-GO_analysis_of_98_radiation-responsive_proteins for Proteomic Profiling for Serum Biomarkers in Mice Exposed to Ionizing Radiation by Jinfeng Huang, Qi Wang, Yingchun Hu, Zhenhua Qi, Zhongwu Lin, Wantao Ying and Meijuan Zhou in Dose-Response</p
Supplemental Material, S4-KEGG_analysis_of_98_radiation-responsive_proteins - Proteomic Profiling for Serum Biomarkers in Mice Exposed to Ionizing Radiation
No full textSupplemental Material, S4-KEGG_analysis_of_98_radiation-responsive_proteins for Proteomic Profiling for Serum Biomarkers in Mice Exposed to Ionizing Radiation by Jinfeng Huang, Qi Wang, Yingchun Hu, Zhenhua Qi, Zhongwu Lin, Wantao Ying and Meijuan Zhou in Dose-Response</p
sj-jpg-2-tam-10.1177_17588359221105020 – Supplemental material for Efficacy and safety of selpercatinib in Chinese patients with advanced RET fusion-positive non-small-cell lung cancer: a phase II clinical trial (LIBRETTO-321)
No full textSupplemental material, sj-jpg-2-tam-10.1177_17588359221105020 for Efficacy and safety of selpercatinib in Chinese patients with advanced RET fusion-positive non-small-cell lung cancer: a phase II clinical trial (LIBRETTO-321) by Shun Lu, Ying Cheng, Dingzhi Huang, Yuping Sun, Lin Wu, Chengzhi Zhou, Ye Guo, Jingxin Shao, Wanli Zhang and Jianying Zhou in Therapeutic Advances in Medical Oncology</p
sj-docx-1-tam-10.1177_17588359221105020 – Supplemental material for Efficacy and safety of selpercatinib in Chinese patients with advanced RET fusion-positive non-small-cell lung cancer: a phase II clinical trial (LIBRETTO-321)
No full textSupplemental material, sj-docx-1-tam-10.1177_17588359221105020 for Efficacy and safety of selpercatinib in Chinese patients with advanced RET fusion-positive non-small-cell lung cancer: a phase II clinical trial (LIBRETTO-321) by Shun Lu, Ying Cheng, Dingzhi Huang, Yuping Sun, Lin Wu, Chengzhi Zhou, Ye Guo, Jingxin Shao, Wanli Zhang and Jianying Zhou in Therapeutic Advances in Medical Oncology</p
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