At a special session of the General Assembly of the State of Connecticut, held at Hartford, on the twenty third day of February, A.D. 1809 ... An address of the General Assembly, to the people of Connecticut. --

Caption title.

Connecticut Mirror, 4 January 1813 (vol. 4, no. 27) - Newspaper

Volumes of interest were published between 1812 and 1815 with articles about the War of 1812. Issue for Jan. 4, 1813 includes (on p. 3) the annual carrier's address to the readers of the newspaper, this one having a war theme since it was published in the midst of the War of 1812. It is titled: "War and Proclamations--Addressed to the Readers of the Connecticut Mirror". Includes war-related content with some items headed: "Generosity of American Tars", "Impressment of Seamen" which is signed in type: James Monroe, "Reward Of Merit", "From Niagara" and a few other items.

Photograph - Percy Band in Greenwich, Connecticut

A photograph of Percy Band in Greenwich, Connecticut (written on reverse of photo) July 13th, 1919.

A Woodruff Genealogy: Twelve Generations from The Colony of Connecticut in New England and The Province of Upper Canada 1636-1959

A Woodruff family genealogy in ten chapters. The chapters are titled: The Five New England Generations, Ezekiel's Seven Children, The Upper Canada Descendants, In Retrospect, Niagara (Newark), St. Davids, The War of 1812-1814, Some More Recent Portraits, Sources and References, Appendix. The first page of the book is inscribed "Best Wishes to Margaret and Percy from Norris", Oct. 5, 1959.

Assessing the Reproducibility of Clustering of Molecular Dynamics Conformations on Self-Organizing Maps

The goal of most clustering algorithms is to find the optimal number of clusters (i.e. fewest number of clusters). However, analysis of molecular conformations of biological macromolecules obtained from computer simulations may benefit from a larger array of clusters. The Self-Organizing Map (SOM) clustering method has the advantage of generating large numbers of clusters, but often gives ambiguous results. In this work, SOMs have been shown to be reproducible when the same conformational dataset is independently clustered multiple times (~100), with the help of the Cramérs V-index (C_v). The ability of C_v to determine which SOMs are reproduced is generalizable across different SOM source codes. The conformational ensembles produced from MD (molecular dynamics) and REMD (replica exchange molecular dynamics) simulations of the penta peptide Met-enkephalin (MET) and the 34 amino acid protein human Parathyroid Hormone (hPTH) were used to evaluate SOM reproducibility. The training length for the SOM has a huge impact on the reproducibility. Analysis of MET conformational data definitively determined that toroidal SOMs cluster data better than bordered maps due to the fact that toroidal maps do not have an edge effect. For the source code from MATLAB, it was determined that the learning rate function should be LINEAR with an initial learning rate factor of 0.05 and the SOM should be trained by a sequential algorithm. The trained SOMs can be used as a supervised classification for another dataset. The toroidal 10×10 hexagonal SOMs produced from the MATLAB program for hPTH conformational data produced three sets of reproducible clusters (27%, 15%, and 13% of 100 independent runs) which find similar partitionings to those of smaller 6×6 SOMs. The χ^2 values produced as part of the C_v calculation were used to locate clusters with identical conformational memberships on independently trained SOMs, even those with different dimensions. The χ^2 values could relate the different SOM partitionings to each other.