Sketch of the life of Rev. Levi Pillsbury

Sketch of life

Historical sketch of the Hawaiian mission : and the missions to Micronesia and the Marquesas Islands / by S.C. Bartlett.

http://www.archive.org/details/historicalsketch00bartiala

Life and letters of Fathers Ponziglione, Schoenmakers, and other early Jesuits at Osage mission. Sketch of St. Francis' church. Life of Mother Bridget. By W.W. Graves . .

http://www.archive.org/details/ponziglionescho00gravrich

Historical sketch of the Flathead Indian nation from the year 1813 to 1890 : embracing the history of the establishment of St. Mary's Indian Mission in the Bitter Root Valley, Mont. : with sketches of the missionary life of Father Ravalli and other early missionaries : wars of the Blackfeet and Flatheads and sketches of history, trapping and trading in the early days / by Peter Ronan.

http://www.canadiana.org/ECO/mtq?doc=16974 View document online

Twenty-five years' mission life on Tanna, New Hebrides / Agnes C. P. Watt ; biographical sketch and introduction by T. Watt Leggatt.

http://www.archive.org/details/twentyfiveyears00wattuoft

Demonstrating the Transferability and the Descriptive Power of Sketch-Map

Increasingly, it is recognized that new automated forms of analysis are required to understand the high-dimensional output obtained from atomistic simulations. Recently, we introduced a new dimensionality reduction algorithm, sketch-map, that was designed specifically to work with data from molecular dynamics trajectories. In what follows, we provide more details on how this algorithm works and on how to set its parameters. We also test it on two well-studied Lennard-Jones clusters and show that the coordinates we extract using this algorithm are extremely robust. In particular, we demonstrate that the coordinates constructed for one particular Lennard-Jones cluster can be used to describe the configurations adopted by a second, different cluster and even to tell apart different phases of bulk Lennard-Jonesium.

Using sketch-map coordinates to analyze and bias molecular dynamics simulations

When examining complex problems, such as the folding of proteins, coarse grained descriptions of the system drive our investigation and help us to rationalize the results. Oftentimes collective variables (CVs), derived through some chemical intuition about the process of interest, serve this purpose. Because finding these CVs is the most difficult part of any investigation, we recently developed a dimensionality reduction algorithm, sketch-map, that can be used to build a low-dimensional map of a phase space of high-dimensionality. In this paper we discuss how these machine-generated CVs can be used to accelerate the exploration of phase space and to reconstruct free-energy landscapes. To do so, we develop a formalism in which high-dimensional configurations are no longer represented by low-dimensional position vectors. Instead, for each configuration we calculate a probability distribution, which has a domain that encompasses the entirety of the low-dimensional space. To construct a biasing potential, we exploit an analogy with metadynamics and use the trajectory to adaptively construct a repulsive, history-dependent bias from the distributions that correspond to the previously visited configurations. This potential forces the system to explore more of phase space by making it desirable to adopt configurations whose distributions do not overlap with the bias. We apply this algorithm to a small model protein and succeed in reproducing the free-energy surface that we obtain from a parallel tempering calculation.

Simplifying the representation of complex free-energy landscapes using sketch-map

A new scheme, sketch-map, for obtaining a low-dimensional representation of the region of phase space explored during an enhanced dynamics simulation is proposed. We show evidence, from an examination of the distribution of pairwise distances between frames, that some features of the free-energy surface are inherently high-dimensional. This makes dimensionality reduction problematic because the data does not satisfy the assumptions made in conventional manifold learning algorithms We therefore propose that when dimensionality reduction is performed on trajectory data one should think of the resultant embedding as a quickly sketched set of directions rather than a road map. In other words, the embedding tells one about the connectivity between states but does not provide the vectors that correspond to the slow degrees of freedom. This realization informs the development of sketch-map, which endeavors to reproduce the proximity information from the high-dimensionality description in a space of lower dimensionality even when a faithful embedding is not possible.

Probing the Unfolded Configurations of a β-Hairpin Using Sketch-Map

This work examines the conformational ensemble involved in β-hairpin folding by means of advanced molecular dynamics simulations and dimensionality reduction. A fully atomistic description of the protein and the surrounding solvent molecules is used, and this complex energy landscape is sampled by means of parallel tempering metadynamics simulations. The ensemble of configurations explored is analyzed using the recently proposed sketch-map algorithm. Further simulations allow us to probe how mutations affect the structures adopted by this protein. We find that many of the configurations adopted by a mutant are the same as those adopted by the wild-type protein. Furthermore, certain mutations destabilize secondary-structure-containing configurations by preventing the formation of hydrogen bonds or by promoting the formation of new intramolecular contacts. Our analysis demonstrates that machine-learning techniques can be used to study the energy landscapes of complex molecules and that the visualizations that are generated in this way provide a natural basis for examining how the stabilities of particular configurations of the molecule are affected by factors such as temperature or structural mutations.

Bringing sounds into use: Thinking of sounds as materials and a sketch of auditory affordances

We live in a richly structured auditory environment. From the sounds of cars charging towards us on the street to the sounds of music filling a dancehall, sounds like these are generally seen as being instances of things we hear but can also be understood as opportunities for action. In some circumstances, the sound of a car approaching towards us can provide critical information for the avoidance of harm. In the context of a concert venue, sociocultural practices like music can equally afford coordinated activities of movement, such as dancing or music making. Despite how evident the behavioral effects of sound are in our everyday experience, they have been sparsely accounted for within the field of psychology. Instead, most theories of auditory perception have been more concerned with understanding how sounds are passively processed and represented or how they convey information of world, neglecting how this information can be used for anything. Here, we argue against these previous rationalizations, suggesting instead that information is instantiated through use and, therefore, is an emergent effect of a perceiver’s interaction with their environment. Drawing on theory from psychology, philosophy and anthropology, we contend that by thinking of sounds as materials, theorists and researchers alike can get to grips with the vast array of auditory affordances that we purposefully bring into use when interacting with the environment.

Rough sketch of butter concepts

"Roughs" of butter concepts, showing a woman preparing peas with butter

Coat of Arms Final Sketch

The final sketch for the Brock University Coat of Arms. The actual Coat of Arms was based off of this sketch.

Artist's Sketch

An artist's sketch of what the Physical Education Building was to look like.