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Institution

State University of New York at Oswego

EducationOswego, New York, United States
About: State University of New York at Oswego is a education organization based out in Oswego, New York, United States. It is known for research contribution in the topics: Cepheid variable & Large Magellanic Cloud. The organization has 843 authors who have published 1750 publications receiving 35875 citations. The organization is also known as: SUNY Oswego & Oswego State University.


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Journal ArticleDOI
TL;DR: This paper presents a meta-analyses of the proton-probes of Na6(CO3)(SO4)2, Na2SO4, and Na2CO3 of the response of the H2O/O2 “spatially aggregating substance,” which has the potential to alter the structure of the molecule and provide clues to the “building blocks” of DNA.
Abstract: Lung Wa Chung,† W. M. C. Sameera,‡ Romain Ramozzi,‡ Alister J. Page, Miho Hatanaka,‡ Galina P. Petrova, Travis V. Harris,‡,⊥ Xin Li, Zhuofeng Ke, Fengyi Liu, Hai-Bei Li, Lina Ding, and Keiji Morokuma*,‡ †Department of Chemistry, South University of Science and Technology of China, Shenzhen 518055, China ‡Fukui Institute for Fundamental Chemistry, Kyoto University, 34-4 Takano Nishihiraki-cho, Sakyo, Kyoto 606-8103, Japan Newcastle Institute for Energy and Resources, The University of Newcastle, Callaghan 2308, Australia Faculty of Chemistry and Pharmacy, University of Sofia, Bulgaria Boulevard James Bourchier 1, 1164 Sofia, Bulgaria Department of Chemistry, State University of New York at Oswego, Oswego, New York 13126, United States State Key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China School of Chemistry and Chemical Engineering, Sun Yat-sen University, Guangzhou 510275, China Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi’an, Shaanxi 710119, China School of Ocean, Shandong University, Weihai 264209, China School of Pharmaceutical Sciences, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan 450001, China

833 citations

Journal ArticleDOI
TL;DR: In this paper, the capabilities of the open-knowledge software instrument Modules for Experiments in Stellar Astrophysics (MESA) have been updated to improve numerical energy conservation capabilities, including during mass changes.
Abstract: We update the capabilities of the open-knowledge software instrument Modules for Experiments in Stellar Astrophysics (MESA). RSP is a new functionality in MESAstar that models the nonlinear radial stellar pulsations that characterize RR Lyrae, Cepheids, and other classes of variable stars. We significantly enhance numerical energy conservation capabilities, including during mass changes. For example, this enables calculations through the He flash that conserve energy to better than 0.001%. To improve the modeling of rotating stars in MESA, we introduce a new approach to modifying the pressure and temperature equations of stellar structure, as well as a formulation of the projection effects of gravity darkening. A new scheme for tracking convective boundaries yields reliable values of the convective core mass and allows the natural emergence of adiabatic semiconvection regions during both core hydrogen- and helium-burning phases. We quantify the parallel performance of MESA on current-generation multicore architectures and demonstrate improvements in the computational efficiency of radiative levitation. We report updates to the equation of state and nuclear reaction physics modules. We briefly discuss the current treatment of fallback in core-collapse supernova models and the thermodynamic evolution of supernova explosions. We close by discussing the new MESA Testhub software infrastructure to enhance source code development.

601 citations

Journal ArticleDOI
TL;DR: In this article, a new global monthly climatology of surface ocean DMS concentration and sea-to-air emission flux is presented as updates of those constructed 10 years ago, using interpolation/extrapolation techniques to project the discrete concentration data onto a first guess field based on Longhurst's biogeographic provinces.
Abstract: [1] The potentially significant role of the biogenic trace gas dimethylsulfide (DMS) in determining the Earth’s radiation budget makes it necessary to accurately reproduce seawater DMS distribution and quantify its global flux across the sea/air interface. Following a threefold increase of data (from 15,000 to over 47,000) in the global surface ocean DMS database over the last decade, new global monthly climatologies of surface ocean DMS concentration and sea‐to‐air emission flux are presented as updates of those constructed 10 years ago. Interpolation/extrapolation techniques were applied to project the discrete concentration data onto a first guess field based on Longhurst’s biogeographic provinces. Further objective analysis allowed us to obtain the final monthly maps. The new climatology projects DMS concentrations typically in the range of 1–7 nM, with higher levels occurring in the high latitudes, and with a general trend toward increasing concentration in summer. The increased size and distribution of the observations in the DMS database have produced in the new climatology substantially lower DMS concentrations in the polar latitudes and generally higher DMS concentrations in regions that were severely undersampled 10 years ago, such as the southern Indian Ocean. Using the new DMS concentration climatology in conjunction with state‐of‐the‐art parameterizations for the sea/air gas transfer velocity and climatological wind fields, we estimate that 28.1 (17.6–34.4) Tg of sulfur are transferred from the oceans into the atmosphere annually in the form of DMS. This represents a global emission increase of 17% with respect to the equivalent calculation using the previous climatology. This new DMS climatology represents a valuable tool for atmospheric chemistry, climate, and Earth System models.

584 citations

Journal ArticleDOI
TL;DR: In this paper, the authors compare the predictive abilities of earnings and cash flows for future cash flows and find that current and past earnings explain significantly more variation in future cash flow than current and current cash flows, but only after permitting the cash and accrual components of earnings to have different multiples.
Abstract: We compare the predictive abilities of earnings and cash flows for future cash flows. We base our predictions on a model of the relation between future cash flows and past earnings and its components, including cash flows. As predicted, we find that current and past earnings explain significantly more variation in future cash flows than current and past cash flows, but only after permitting the cash and accrual components of earnings to have different multiples. As predicted, disaggregating the accrual component of earnings significantly further enhances the predictive ability of earnings for future cash flows. Contrary to claims in the popular press, the depreciation and amortization components of earnings have significant predictive ability for future cash flows. Our inferences are robust to controlling for operating cycle and industry membership.

555 citations

Journal ArticleDOI
TL;DR: An integrative life-span-encompassing theoretical model is presented to explain the patterns of results that have emerged from studies that illustrate patterns of attachment-related information processing from childhood to adulthood.
Abstract: Researchers have used J. Bowlby's (1969/1982, 1973, 1980, 1988) attachment theory frequently as a basis for examining whether experiences in close personal relationships relate to the processing of social information across childhood, adolescence, and adulthood. We present an integrative life-span-encompassing theoretical model to explain the patterns of results that have emerged from these studies. The central proposition is that individuals who possess secure experience-based internal working models of attachment will process--in a relatively open manner--a broad range of positive and negative attachment-relevant social information. Moreover, secure individuals will draw on their positive attachment-related knowledge to process this information in a positively biased schematic way. In contrast, individuals who possess insecure internal working models of attachment will process attachment-relevant social information in one of two ways, depending on whether the information could cause the individual psychological pain. If processing the information is likely to lead to psychological pain, insecure individuals will defensively exclude this information from further processing. If, however, the information is unlikely to lead to psychological pain, then insecure individuals will process this information in a negatively biased schematic fashion that is congruent with their negative attachment-related experiences. In a comprehensive literature review, we describe studies that illustrate these patterns of attachment-related information processing from childhood to adulthood. This review focuses on studies that have examined specific components (e.g., attention and memory) and broader aspects (e.g., attributions) of social information processing. We also provide general conclusions and suggestions for future research.

542 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
202219
2021114
2020139
2019126
2018109