Institution
Shanghai Jiao Tong University
Education•Shanghai, Shanghai, China•
About: Shanghai Jiao Tong University is a education organization based out in Shanghai, Shanghai, China. It is known for research contribution in the topics: Population & Cancer. The organization has 157524 authors who have published 184620 publications receiving 3451038 citations. The organization is also known as: Shanghai Communications University & Shanghai Jiaotong University.
Topics: Population, Cancer, Computer science, Microstructure, Medicine
Papers published on a yearly basis
Papers
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TL;DR: In this paper, three stand-alone photovoltaic power systems using different energy storage technologies are studied, including PV modules, fuel cells, electrolyzers, compressors, hydrogen tanks and batteries.
333 citations
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TL;DR: In this paper, a comprehensive theory of the through-space conjugation (TSC) for these chromophores is proposed, and various applications have been envisioned, for example in the areas of process monitoring, structural visualization, sensors, and probes.
333 citations
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TL;DR: Simulations show that by removing the fundamental notion in the traditional car-following models and allowing the traffic state to span a two-dimensional region in velocity-spacing plane, the growth pattern of disturbances has changed qualitatively and becomes qualitatively or even quantitatively in consistent with that observed in the experiment.
Abstract: As a typical self-driven many-particle system far from equilibrium, traffic flow exhibits diverse fascinating non-equilibrium phenomena, most of which are closely related to traffic flow stability and specifically the growth/dissipation pattern of disturbances. However, the traffic theories have been controversial due to a lack of precise traffic data. We have studied traffic flow from a new perspective by carrying out large-scale car-following experiment on an open road section, which overcomes the intrinsic deficiency of empirical observations. The experiment has shown clearly the nature of car-following, which runs against the traditional traffic flow theory. Simulations show that by removing the fundamental notion in the traditional car-following models and allowing the traffic state to span a two-dimensional region in velocity-spacing plane, the growth pattern of disturbances has changed qualitatively and becomes qualitatively or even quantitatively in consistent with that observed in the experiment.
332 citations
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TL;DR: In this paper, a local linear approach is developed to estimate the time trend and coefficient functions, and the asymptotic properties of the proposed estimators, coupled with their comparisons with other methods, are established under the α-mixing conditions and without specifying the error distribution.
332 citations
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Shanghai Jiao Tong University1, Katholieke Universiteit Leuven2, University of Copenhagen3, University of the Republic4, Uppsala University5, Maastricht University6, Cambridge University Hospitals NHS Foundation Trust7, Jagiellonian University8, University of Padua9, Aarhus University10, University College Dublin11
TL;DR: INH predicts cardiovascular outcome in patients who are normotensive on office or on ambulatory daytime BP measurement, and was associated with increases in all cardiovascular events and cardiac endpoints.
Abstract: BACKGROUND: We and other investigators previously reported that isolated nocturnal hypertension on ambulatory measurement (INH) clustered with cardiovascular risk factors and was associated with intermediate target organ damage. We investigated whether INH might also predict hard cardiovascular endpoints. METHODS AND RESULTS: We monitored blood pressure (BP) throughout the day and followed health outcomes in 8711 individuals randomly recruited from 10 populations (mean age 54.8 years, 47.0% women). Of these, 577 untreated individuals had INH (daytime BP <135/85 mmHg and night-time BP ≥120/70 mmHg) and 994 untreated individuals had isolated daytime hypertension on ambulatory measurement (IDH; daytime BP ≥135/85 mmHg and night-time BP <120/70 mmHg). During follow-up (median 10.7 years), 1284 deaths (501 cardiovascular) occurred and 1109 participants experienced a fatal or nonfatal cardiovascular event. In multivariable-adjusted analyses, compared with normotension (n = 3837), INH was associated with a higher risk of total mortality (hazard ratio 1.29, P = 0.045) and all cardiovascular events (hazard ratio 1.38, P = 0.037). IDH was associated with increases in all cardiovascular events (hazard ratio 1.46, P = 0.0019) and cardiac endpoints (hazard ratio 1.53, P = 0.0061). Of 577 patients with INH, 457 were normotensive (<140/90 mmHg) on office BP measurement. Hazard ratios associated with INH with additional adjustment for office BP were 1.31 (P = 0.039) and 1.38 (P = 0.044) for total mortality and all cardiovascular events, respectively. After exclusion of patients with office hypertension, these hazard ratios were 1.17 (P = 0.31) and 1.48 (P = 0.034). CONCLUSION: INH predicts cardiovascular outcome in patients who are normotensive on office or on ambulatory daytime BP measurement.
332 citations
Authors
Showing all 158621 results
Name | H-index | Papers | Citations |
---|---|---|---|
Meir J. Stampfer | 277 | 1414 | 283776 |
Richard A. Flavell | 231 | 1328 | 205119 |
Jie Zhang | 178 | 4857 | 221720 |
Yang Yang | 171 | 2644 | 153049 |
Lei Jiang | 170 | 2244 | 135205 |
Gang Chen | 167 | 3372 | 149819 |
Thomas S. Huang | 146 | 1299 | 101564 |
Barbara J. Sahakian | 145 | 612 | 69190 |
Jean-Laurent Casanova | 144 | 842 | 76173 |
Kuo-Chen Chou | 143 | 487 | 57711 |
Weihong Tan | 140 | 892 | 67151 |
Xin Wu | 139 | 1865 | 109083 |
David Y. Graham | 138 | 1047 | 80886 |
Bin Liu | 138 | 2181 | 87085 |
Jun Chen | 136 | 1856 | 77368 |