Showing 1981 - 1990 of 2040 Items
Statement by Frederick Moore collected by Charlotte Bacon on December 15, 2014
Date: 2014-12-15
Creator: Frederick Moore
Access: Open access
Statement by Greg Dorr collected by Meredith Eaton on November 3, 2014
Date: 2014-11-03
Creator: Greg Dorr
Access: Open access
Interview with Arthur Strout by Mike Hastings
Date: 2009-08-21
Creator: Arthur E Strout
Access: Open access
Biographial Note
Arthur Edward Strout was born in Rockland, Maine, on September 6, 1935, to Olive Mabel (Edwards) and Alfred Meserve Strout and grew up in Thomaston, Maine. His father, a graduate of Bowdoin College and Harvard Law School, was an attorney in Rockland, Maine, and came from an established Maine family. His mother, the daughter of English immigrants, worked at the Registry of Deeds and later was a homemaker. After attending Thomaston schools, Arthur spent his final year of high school at Hebron Academy. He attended Bowdoin College (class of 1957), where he met George Mitchell. He earned his law degree in 1960 and then clerked for a judge in the 9th Circuit Court of Appeals. He worked for the Tax Division of the Department of Justice in Washington, D.C. and then went on to practice tax and finance law, returning to Maine in 1972. His son Charles also attended Bowdoin College and worked as a Senate page during Mitchell’s tenure there.
Summary
Interview includes discussion of: family and educational background; Claude Allen as school master at Hebron Academy; meeting Mitchell at Bowdoin; attending Bowdoin from 1953-1957 and the housing situation; academics at Bowdon; law school and practicing tax law; continued contact with Mitchell; son Charles’s working with Mitchell; current life in Boston; and reflections on Mitchell and his current activities.
Interview with Walter Corey by Andrea L’Hommedieu
Date: 2010-05-18
Creator: Walter E Corey III
Access: Open access
Biographial Note
Walter Ellsworth Corey III was born June 19, 1941, in White Plains, New York, to Walter E., Jr. and Theresa (Stallone) Corey and grew up mainly on Staten Island. His father was an insurance executive with Metropolitan Life and his mother was a homemaker. They divided their time between New York and Ogunquit, Maine. He attended Yale Law School, then moved to Maine to join the Portland law firm Bernstein Shur; he left the firm to serve in the Ken Curtis administration as Maine’s first federal coordinator. He was active in several of Mitchell’s campaigns, for governor and for the U.S. Senate, and they shared a fondness for tennis.
Summary
Interview includes discussion of: family and educational background; Ken Curtis administration; working with George Mitchell on policy and speeches in the late 1960s; description of playing tennis with George Mitchell and foot faulting; 1974 Maine gubernatorial campaign; 1982 U.S. Senate campaign; sense of humor and tennis stories (Harold Pachios and Juris Ubans); and description of George Mitchell’s accomplishments and attributes.
Interview with Frank Wood by Andrea L’Hommedieu
Date: 2010-02-25
Creator: Frank P Wood
Access: Open access
Biographial Note
Frank P. Wood was born in 1949 in Sanford, Maine. His father was Lawrence Wood, a farm machinery salesman, and his mother was Arlene Wood, a secretary and college administrator. He became interested in politics at an early age, working on campaigns throughout the 1960s, 1970s and 1980s. He served in the Maine legislature from 1977 to 1985, serving on the Taxation and Agriculture committees.
Summary
Interview includes discussion of: meeting Mitchell while Wood was in college at USM; Mitchell and Ken Curtis; working with Larry Benoit on campaigns; Mitchell and Emery in 1982; the tide turning in favor of Mitchell; changes in Mitchell’s campaigns from 1974 to 1982 to 1988; Mitchell defeating Jasper Wyman in 1988; keeping up with current events during the campaigns; Mitchell’s sense of humor; and Mitchell’s legacy.
Interview with Jeff Bingaman by Brien Williams
Date: 2009-09-18
Creator: Jesse 'Jeff' F Bingaman
Access: Open access
Biographial Note
Jeff Bingaman grew up in Silver City, New Mexico. He was graduated from Harvard University and received his law degree from Stanford University. In 1978, he was elected New Mexico attorney general. In 1982, he was elected to the U.S. Senate and has served five terms to date. He has served on the Energy and Natural Resources Committee, the Finance Committee, the Health, Education, Labor and Pensions Committee, and the Joint Economic Committee.
Summary
Interview includes discussion of: how Mitchell positioned himself for the majority leader position; Mitchell’s leadership style; comparison of Mitchell to other majority and minority leaders; Bingaman’s reaction when Mitchell announced his retirement; health care in 1993-1994; changes in the Senate as a legislative body; Mitchell’s legacy; and the ideological spectrum in Senate.
Probing mucin-type O-linked glycosylation in living animals
Date: 2006-03-28
Creator: Danielle H. Dube
Jennifer A. Prescher
Chi M. Quang
Carolyn R. Bertozzi
Access: Open access
- Changes in O-linked protein glycosylation are known to correlate with disease states but are difficult to monitor in a physiological setting because of a lack of experimental tools. Here, we report a technique for rapid profiling of O-linked glycoproteins in living animals by metabolic labeling with N-azidoacetylgalactosamine (GalNAz) followed by Staudinger ligation with phosphine probes. After injection of mice with a peracetylated form of GalNAz, azide-labeled glycoproteins were observed in a variety of tissues, including liver, kidney, and heart, in serum, and on isolated splenocytes. B cell glycoproteins were robustly labeled with GalNAz but T cell glycoproteins were not, suggesting fundamental differences in glycosylation machinery or metabolism. Furthermore, GalNAz-labeled B cells could be selectively targeted with a phosphine probe by Staudinger ligation within the living animal. Metabolic labeling with GalNAz followed by Staudinger ligation provides a means for proteomic analysis of this posttranslational modification and for identifying O-linked glycoprotein fingerprints associated with disease. © 2006 by The National Academy of Sciences of the USA.
The Role of Social Media for Knowledge Sharing and Collaboration in Distributed Teams
Creator: Nicole Ellison
Matthew Weber
Access: Open access
- Abstract
Correction: CO2 induced phase transitions in diamine-appended metal-organic frameworks (Chemical Science (2015) 6 (5177-5185) DOI: 10.1039/c5sc01828e)
Date: 2019-01-01
Creator: Bess Vlaisavljevich
Sondre K. Schnell
Allison L. Dzubak
Kyuho Lee
Nora, Planas
Jeffrey B. Neaton
Laura Gagliardi
Berend Smit
Access: Open access
- The authors regret that there are some discrepancies reproducing the data in the original article due to the determined coordinates not being the fully optimised geometries. The authors have provided more information as follows. In the manuscript entitled 'CO2 induced phase transitions in diamine-appended metal-organic frameworks', minor errors with the attached coordinates and energies reported in the paper have recently been identified. In this communication, we correct these errors. Here, we present updated optimized geometries and binding energies. We also take this opportunity to include an extended computational details section to ensure reproducibility. In addition, we show that the overall conclusions of the paper are not affected by these changes. A detailed comparison with the results reported by Lee et al.1 revealed that the DFT optimization of the coordinates provided with the manuscript do not lead to the values reported in the manuscript, and they warrant correction. Corrected coordinates and updated tables (Tables 1-7) and figures (Fig. 1, 2, 4 and 5) are included here for calculations using the PBE functional. These structures have been repeated using a slightly tighter force threshold than in the original manuscript (details below). The M06-L calculations reported in the original manuscript are not revisited since they were performed to assess the role of dispersion. Since the publication of our work in 2015, a far more detailed study of this effect has been published by one of the authors rendering these M06-L calculations unnecessary and we refer readers interested in the role of dispersion on the carbamate formation to this more recent study by Lee et al.1 In addition to correcting our DFT calculations, we examine the effects of the revised DFT values on the lattice model in this work.We recompute the lattice model with the M06-L and PBE values fromthe original manuscript as well as the corrected PBE values reported below (Fig. 6-8 and Tables 8-10). In all three sets of isotherm plots the ordering is preserved but the inflection points are spaced differently with the new PBE numbers, leading to quantitative differences that are nonetheless qualitatively similar to previous work. Finally, we discuss different ways that CO2 can coordinate to the metal binding site, as shown in Fig. 3. We should have notedmore clearly in ourmanuscript that these were starting configurations and not necessarily the final converged structures since our goal was to try several starting geometries to determine which coordination environment around the metal site was lowest in energy. Take for example bidentate insertion. Chemical intuition suggests that this structure could rotate to one that has only one CO2 oxygen center closer to the metal than the other and we observe this in our optimized structure. The resulting geometries we obtained for the starting arrangements noted in the figure are higher in energy than the chain model as reported in our original paper.We wish to emphasize that at the time of our 2015 study, our objective was to understand whether or not CO2 was bound to the metal and if one-dimensional chain formation could lead to a step in the adsorption isotherm. It has since become clear that a far more thorough study of the arrangements of the amines is required to truly understand competing amine arrangements preset in experiment. This was outside the scope of our work. Once more, these calculations are perhaps now outdated given work in the field in recent years. We again refer interested readers to a more recent study by Lee et al.1 1. Extended computational details to ensure reproducibility In the course of rectifying the error in our calculations, we wanted to ensure that all revised calculations were converged using the exact same protocol; therefore, we repeated the PBE calculations for the pair and chain models using updated computational details given here to ensure reproducibility. The M2(dobpdc) MOF contains six unsaturated metal sites per unit cell. To calculate the binding energies of CO2 in its amine appended analogue mmen-M2(dobpdc), one mmen ligand per CO2 was added per unit cell. The smaller sized ethylenediamine (en) was used to saturate the remaining amines not involved in CO2 binding. In the case of the pair mode, two mmen-amines are included per unit cell only. All DFT calculations were performed with periodic boundary conditions carried out using the VASP 5.4.4 package (original calculations were performed with VASP 5.3.3). The PBE functional was employed to examine the energetics of CO2 adsorption.3 On-site Hubbard U corrections were employed for metal d electrons.4 The U values are determined to reproduce oxidation energies in the respective metal oxides and are given in the tables below. The electron-ion interactions in these calculations were described with the projector augmented wave (PAW) method developed by Blöchl with an energy cutoff of 550 eV.5 This combination of the PBE functional, PAW scheme, and energy cutoff was used for full geometry optimization of the various species investigated until the forces on all atoms were smaller than 0.02 eV Å-1 and the SCF convergence was set to 1 × 10-7 eV. Given the large size of the unit cell and the tests with other numbers of K-points from the original study, only results obtained from G-point calculations are reported here. Finally, heats of adsorption are now reported below along with E + ZPE values, while in the original manuscript only E + ZPE were reported. No changes were made to how the vibrational corrections were computed; however, we have included some additional details to ensure reproducibility.6 Harmonic vibrational modes (ωi) were computed for CO2 in the gas phase and its bound product state (amine-CO2-MOF complex). The framework itself was taken to be rigid and only the vibrational modes associated with the motion of the amine, the metal center, first coordination sphere (oxygen atoms bound to the metal in the MOF backbone), and (if present) the bound CO2 were computed. Since the harmonic approximation breaks down for low frequency modes, we replaced all modes less than 50 cm-1 with 50 cm-1 when computing the zero-point and thermal energies. The following standard harmonic expressions were used to compute the vibrational corrections: Zero-point vibrational energy (ZPE) is: [Equation presented here] While for the bound product, the rotational and translational degrees of freedom of CO2 have been converted to additional vibrational modes allowing one to compute the thermal correction simply as: [Equation presented here] 2. Values for the chain model The chain model used in our original study included 1 mmen- and 5 en-amines. The values from the original paper are reported in Table 1. When we repeat these calculations using the procedure described in Section 1, we obtain the values in Table 2. In addition to the chain model described above (1 mmen- and 5 en-amines per unit cell), during our original study we performed calculations with another model that was not included in the manuscript since its values yielded results further from experiment. This model includes only 1 mmen-amine per unit cell (no other amines) and was used to test the assumption that the five enamines are indeed spectators with respect to the metal dependence of the binding energy. We present the results from this model in Table 3. In the original paper we noted that the energy and bond length trends are correlated and are consistent with the Irving-Williams series. This is no longer true for all metals under investigation, with Zn being an outlier. The results for Zn can be explained by more recent work.1 3. Values for the pair model The model used to compute the "pair" adsorption mechanisms included 2 mmen-amines and 0 en-amines. The values in the original paper are presented in Table 5. 4. Lattice model plots The lattice models to generate adsorption isotherms for these systems were run at one temperature (∼25 °C) using four different input parameters. First the M06-L and PBE values from the original paper were used once more as it has been some time since we have run the lattice model. Then the model is repeated with the new set of values from PBE. If we compare Fig. 7 and 8, the order is preserved, but the infliction points are spaced a bit differently. This is due to the scaling factor being constant and is something we scaled for each of the different systems as well. The slope is also a bit different, but not more then we should expect for this simple lattice model. Furthermore, we only ever aimed to reproduce the step and the order of the metals. Any finer details cannot be expected to be obtained from this model. The exact values used to compute the isotherms are given in the tables below. The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and readers.
Initial experiments in using communication swarms to improve the performance of swarm systems
Date: 2012-01-01
Creator: Stephen M. Majercik
Access: Open access
- Swarm intelligence can provide robust, adaptable, scalable solutions to difficult problems. The distributed nature of swarm activity is the basis of these desirable qualities, but it also prevents swarm-based techniques from having direct access to global knowledge that could facilitate the task at hand. Our experiments indicate that a swarm system can use an auxiliary swarm, called a communication swarm, to create and distribute an approximation of useful global knowledge, without sacrificing robustness, adaptability, and scalability. We describe a communication swarm and validate its effectiveness on a simple problem.