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| 1 | A_r-Weighted Poincare-Type Inequalities for Differential Forms in Some Domains | Shu Sen DING Department of Mathematics. Seattle University, 900 Broadway, Seattle. WA 98122, USA Yun Ying GAI Department of Mathematics, Harbin Institute of Technology, Harbin. 150001, P. R. China | 2001 | Acta Mathematica Sinica,English Series2001，17，2： | 5 |
| 2 | Effect of organic acid on Cd toxicityin tomato and bean growth显示文摘A Hoagland's 1 nutrient solution culture to observe the effect of 0 , 50 and 100 μmol/L oxalate acidon 0 to 10 mg/L Cd toxicity for tomato and 0 to 8 mg/L for bean and their accumulation in plants were stud-ied. There was an almost linear relationship bet | Xue Dongsen Robert B. Harrison Charles L. Henry(University of Washington , ARIO Seattle . WA 98195 , USA) | 1995 | Journal of Environmental Sciences1995，7，4： | 4 |
| 3 | BATE curve in assessment of clinical utility of predictive biomarkers显示文摘In this paper,for time-to-event data,we propose a new statistical framework for casual inference in evaluating clinical utility of predictive biomarkers and in selecting an optimal treatment for a particular patient.This new casual framework is based on a new concept,called Biomarker Adjusted Treatment Effect (BATE) curve.The BATE curve can be used for assessing clinical utility of a predictive biomarker,for designing a subsequent confirmation trial,and for guiding clinical practice.We then propose semi-parametric methods for estimating the BATE curves of biomarkers and establish asymptotic results of the proposed estimators for the BATE curves.We also conduct extensive simulation studies to evaluate finite-sample properties of the proposed estimation methods.Finally,we illustrate the application of the proposed method in a real-world data set. | ZHOU XiaoHua 1,2,3,& MA YunBei 4,5 1 Northwest HSR&D Center of Excellence,VA Puget Sound Health Care System,Seattle,WA 98198,USA 2 Department of Biostatistics,University of Washington,Seattle,WA 98198,USA 3 Beijing International Center for Mathematical Research,Peking University,Beijing 100871,China 4 Department of Operations Research and Financial Engineering,Princeton University,Princeton,NJ 08540,USA 5 School of Statisitcs,Southwest University of Finance and Economics,Chengdu 611130,China | 2012 | Science China Mathematics2012，55，8： | 2 |
| 4 | Economic reform, open-door policy and changes in spatial development patterns in China显示文摘The study profiles and explains the significant changes that have taken place in China’s spatial development patterns since the inception of its economic reform and opening two decades ago. Principal component analysis is used to delineate spatial patterns. The analyses show that prior to the reform China’s spatial development pattern was characterized by the dominance of the three municipalities and the Northeast, as well as by both the coast-interior and the north-south disparities. Northern provinces were generally more industrialized and economically powerful than the southern ones. After two decades of reform, regional development has become multi-centered with South China, the Yangtze Delta and the Beijing-Tianjin area being the three most important regions of the country. The coastal provinces as a whole rose to prominence on China’s economic map while the Northeast has diminished its clout. The coast-interior gap not only remains but may have widened. The north-south disparity also still exists but there has been a role reversal with the south now in the lead position. Virtually all inland provinces now find themselves at or near the low end of the development spectrum. We argue that the major reason for the recent shifts in Chinese space economy is the spatially differentiated economic growth resulted from the reform and open door policy and from the new, uneven development strategy adopted by the Chinese government. The paper discusses four specific factors that have reshaped China’s spatial development patterns. | WANG Enru1, LU Xiang-xing2 (1.Department of Geography University of Washington Smith Hall, Box 353550 Seattle, WA 98195, USA 2. Department of Geography Kansas State University Manhattan, KS 66506, USA) | 2000 | Journal of Geographical Sciences2000，10，4： | 1 |
| 5 | Quality Engineering in Japan显示文摘 | SEATTLE WA TAGUCHI G | 1985 | Communications in Statistics-Theory and Methods1985，，14： | 1 |
| 6 | Novel T-cell co-stimulators in cancer gene therapy and immunotherapy显示文摘Optimal activation of T cells requires at least 2signals. Signal one is generated by interactionsbetween T cell receptor and antigenic peptide-majorhistocompatibility complex on antigen-presentingcells. Signal two is delivered by co-stimulatory ligandson antigen-presenting cells to their receptors on | Lieping ChenBristol-Myers Squibb Pharmaceutical ResearchInstitute, Seattle, WA 98121, USA | 1997 | 中国实验血液学杂志1997，5，3： | 1 |
| 7 | Azolla-A Model Organism for Plant Genomic Studies显示文摘The aquatic ferns of the genus Azolla are nitrogen-fixing plants that have great potentials in agricultural production and environmental conservation. Azolla in many aspects is qualified to serve as a model organism for genomic studies because of its importance in agriculture, its unique position in plant evolution, its symbiotic relationship with the N2-fixing cyanobacterium, Anabaena azollae, and its moderate-sized genome. The goals of this genome project are not only to understand the biology of the Azolla genome to promote its applications in biological research and agriculture practice but also to gain critical insights about evolution of plant genomes. Together with the strategic and technical improvement as well as cost reduction of DNA sequencing, the deciphering of their genetic code is imminent. | Yin-Long Qiu, Jun Yu1 Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109-1048, USA 2 Beijing Genomics Institute, Chinese Academy of Scicences, Beijing 101300, China 3 University of Washington Genome Center, Seattle, WA 98195, USA | 2003 | Genomics, Proteomics & Bioinformatics2003，1，1： | 1 |
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