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Institution

Rensselaer Polytechnic Institute

EducationTroy, New York, United States
About: Rensselaer Polytechnic Institute is a education organization based out in Troy, New York, United States. It is known for research contribution in the topics: Terahertz radiation & Population. The organization has 19024 authors who have published 39922 publications receiving 1414699 citations. The organization is also known as: RPI & Rensselaer Institute.


Papers
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Journal ArticleDOI
TL;DR: In this article, the stability of quaternary ammonium hydroxide in pure form in water without excess alkaline solution or inconsistencies faced in the presence of polymer backbones was analyzed.
Abstract: Improving long-term cation stability is crucial for adopting anion exchange membrane fuel cells as a commercially viable technology in clean energy conversion applications. To reliably identify the most stable cation structures, we analyzed the cation stability of various synthetically prepared quaternary ammonium organic molecules via a silver oxide ion exchange reaction. This method enabled us to compare the stability of various structures of quaternary ammonium hydroxide in pure form in water without excess alkaline solution or inconsistencies faced in the presence of polymer backbones. By quantitatively comparing cation degradation via NMR, we were able to identify three cation structures with greater cation stability than the most well-known benzyltrimethylammonium. In addition, we were able to elucidate byproduct formation and degradation mechanisms as a result of hydroxide attack. From this study we concluded that alkyl-substituted cations seem to impart greater stability than benzylic-substituted cations in the presence of hydroxide anions in aqueous solution.

241 citations

Journal ArticleDOI
TL;DR: GenMax is a backtrack search based algorithm for mining maximal frequent itemsets that uses a novel technique called progressive focusing to perform maximality checking, and diffset propagation to perform fast frequency computation.
Abstract: We present GenMax, a backtrack search based algorithm for mining maximal frequent itemsets. GenMax uses a number of optimizations to prune the search space. It uses a novel technique called progressive focusing to perform maximality checking, and diffset propagation to perform fast frequency computation. Systematic experimental comparison with previous work indicates that different methods have varying strengths and weaknesses based on dataset characteristics. We found GenMax to be a highly efficient method to mine the exact set of maximal patterns.

241 citations

Journal ArticleDOI
Elena Aprile1, Jelle Aalbers2, F. Agostini3, M. Alfonsi4, L. Althueser5, F. D. Amaro6, M. Anthony1, V. C. Antochi2, F. Arneodo7, Laura Baudis8, Boris Bauermeister2, M. L. Benabderrahmane7, T. Berger9, P. A. Breur10, April S. Brown8, Ethan Brown9, S. Bruenner11, Giacomo Bruno7, Ran Budnik12, C. Capelli8, João Cardoso6, D. Cichon11, D. Coderre13, Auke-Pieter Colijn10, Jan Conrad2, Jean-Pierre Cussonneau14, M. P. Decowski10, P. de Perio1, P. Di Gangi3, A. Di Giovanni7, Sara Diglio14, A. Elykov13, G. Eurin11, J. Fei15, A. D. Ferella2, A. Fieguth5, W. Fulgione, A. Gallo Rosso, Michelle Galloway8, F. Gao1, M. Garbini3, L. Grandi16, Z. Greene1, C. Hasterok11, E. Hogenbirk10, J. Howlett1, M. Iacovacci, R. Itay12, F. Joerg11, Shingo Kazama17, A. Kish8, G. Koltman12, A. Kopec18, H. Landsman12, R. F. Lang18, L. Levinson12, Qing Lin1, Sebastian Lindemann13, Manfred Lindner11, F. Lombardi15, J. A. M. Lopes6, E. López Fune19, C. Macolino20, J. Mahlstedt2, A. Manfredini8, Fabrizio Marignetti, T. Marrodán Undagoitia11, Julien Masbou14, D. Masson18, S. Mastroianni, M. Messina7, K. Micheneau14, Kate C. Miller16, A. Molinario, K. Morå2, Y. Mosbacher12, M. Murra5, J. Naganoma, Kaixuan Ni15, Uwe Oberlack4, K. Odgers9, Bart Pelssers2, F. Piastra8, J. Pienaar16, V. Pizzella11, Guillaume Plante1, R. Podviianiuk, N. Priel12, H. Qiu12, D. Ramírez García13, S. Reichard8, B. Riedel16, A. Rizzo1, A. Rocchetti13, N. Rupp11, J.M.F. dos Santos6, Gabriella Sartorelli3, N. Šarčević13, M. Scheibelhut4, S. Schindler4, J. Schreiner11, D. Schulte5, Marc Schumann13, L. Scotto Lavina19, M. Selvi3, P. Shagin21, E. Shockley16, Manuel Gameiro da Silva6, H. Simgen11, C. Therreau14, Dominique Thers14, F. Toschi13, Gian Carlo Trinchero, C. Tunnell16, N. Upole16, M. Vargas5, O. Wack11, Hongwei Wang22, Zirui Wang, Yuehuan Wei15, Ch. Weinheimer5, D. Wenz4, C. Wittweg5, J. Wulf8, Z. Xu15, J. Ye15, Yanxi Zhang1, T. Zhu1, J. P. Zopounidis19 
TL;DR: The analysis uses the full ton year exposure of XENON1T to constrain the spin-dependent proton-only and neutron-only cases and sets exclusion limits on the WIMP-nucleon interactions.
Abstract: We report the first experimental results on spin-dependent elastic weakly interacting massive particle (WIMP) nucleon scattering from the XENON1T dark matter search experiment. The analysis uses the full ton year exposure of XENON1T to constrain the spin-dependent proton-only and neutron-only cases. No significant signal excess is observed, and a profile likelihood ratio analysis is used to set exclusion limits on the WIMP-nucleon interactions. This includes the most stringent constraint to date on the WIMP-neutron cross section, with a minimum of 6.3×10-42 cm2 at 30 GeV/c2 and 90% confidence level. The results are compared with those from collider searches and used to exclude new parameter space in an isoscalar theory with an axial-vector mediator.

241 citations

Journal ArticleDOI
TL;DR: Preliminary data indicate that, despite a moderate level of contamination in recent sediments and suspended particulate matter, carp in Lake Chapala contain mercury concentrations of concern for local fish consumers.
Abstract: Elevated concentrations of mercury have been documented in fish in Lake Chapala in central Mexico, an area that is home to a large subsistence fishing community. However, neither the extent of human mercury exposure nor its sources and routes have been elucidated. Total mercury concentrations were measured in samples of fish from Lake Chapala; in sections of sediment cores from the delta of Rio Lerma, the major tributary to the lake; and in a series of suspended-particle samples collected at sites from the mouth of the Lerma to mid-Lake. A cross-sectional survey of 92 women ranging in age from 18-45 years was conducted in three communities along the Lake to investigate the relationship between fish consumption and hair mercury concentrations among women of child-bearing age. Highest concentrations of mercury in fish samples were found in carp (mean 0.87 ppm). Sediment data suggest a pattern of moderate ongoing contamination. Analyses of particles filtered from the water column showed highest concentrations of mercury near the mouth of the Lerma. In the human study, 27.2% of women had >1 ppm hair mercury. On multivariable analysis, carp consumption and consumption of fish purchased or captured from Lake Chapala were both associated with significantly higher mean hair mercury concentrations. Our preliminary data indicate that, despite a moderate level of contamination in recent sediments and suspended particulate matter, carp in Lake Chapala contain mercury concentrations of concern for local fish consumers. Consumption of carp appears to contribute significantly to body burden in this population. Further studies of the consequences of prenatal exposure for child neurodevelopment are being initiated.

241 citations

Journal ArticleDOI
TL;DR: An improved branch and bound code for zero-one mixed integer nonlinear programs with convex objective functions and constraints with Lagrangian duality is described.

241 citations


Authors

Showing all 19133 results

NameH-indexPapersCitations
Pulickel M. Ajayan1761223136241
Zhenan Bao169865106571
Murray F. Brennan16192597087
Ashok Kumar1515654164086
Joseph R. Ecker14838194860
Bruce E. Logan14059177351
Shih-Fu Chang13091772346
Michael G. Rossmann12159453409
Richard P. Van Duyne11640979671
Michael Lynch11242263461
Angel Rubio11093052731
Alan Campbell10968753463
Boris I. Yakobson10744345174
O. C. Zienkiewicz10745571204
John R. Reynolds10560750027
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202334
2022177
20211,118
20201,356
20191,328
20181,245