Good Friday service at the St. Ignatius Mission Montana: A study in culture change

Mostly comprised of a detailed description of the Good Friday service at St. Ignatius in 1952

Generation and Applications of Knowledge Graphs in Systems and Networks Biology

The acceleration in the generation of data in the biomedical domain has necessitated the use of computational approaches to assist in its interpretation. However, these approaches rely on the availability of high quality, structured, formalized biomedical knowledge. This thesis has the two goals to improve methods for curation and semantic data integration to generate high granularity biological knowledge graphs and to develop novel methods for using prior biological knowledge to propose new biological hypotheses. The first two publications describe an ecosystem for handling biological knowledge graphs encoded in the Biological Expression Language throughout the stages of curation, visualization, and analysis. Further, the second two publications describe the reproducible acquisition and integration of high-granularity knowledge with low contextual specificity from structured biological data sources on a massive scale and support the semi-automated curation of new content at high speed and precision. After building the ecosystem and acquiring content, the last three publications in this thesis demonstrate three different applications of biological knowledge graphs in modeling and simulation. The first demonstrates the use of agent-based modeling for simulation of neurodegenerative disease biomarker trajectories using biological knowledge graphs as priors. The second applies network representation learning to prioritize nodes in biological knowledge graphs based on corresponding experimental measurements to identify novel targets. Finally, the third uses biological knowledge graphs and develops algorithmics to deconvolute the mechanism of action of drugs, that could also serve to identify drug repositioning candidates. Ultimately, the this thesis lays the groundwork for production-level applications of drug repositioning algorithms and other knowledge-driven approaches to analyzing biomedical experiments

Sweet Daisy Stokes

https://digitalcommons.library.umaine.edu/mmb-vp/4062/thumbnail.jp

Electrodynamic Tethers for Novel LEO Missions

The exponential increase of launch system size - and cost - with deltaV makes missions requiring large total impulse cost prohibitive. Northrop Grumman and partners have matured a fundamentally different method for generating propulsion using electrodynamic tethers (EDTs) that escapes the limitations of the rocket equation. With essentially unlimited delta V, we can perform new classes of missions that are currently unaffordable or unfeasible

Precision Wavelength Measurements of the Annihilation Radiation from Copper 64 and Gamma-Radiation Following Decay of Gold 198 and Tantalum 182

The geometry, kinematics, and operation of the curved crystal gamma-ray spectrometer are briefly described. The effect of a recently discovered systematic non-linearity is discussed in some detail. A new calibration of the instrument and the means taken to correct for the non-linearity are described. Error-contributing factors are analyzed, and their contributions to the final error are estimated. The three principal components of the observed line profile are discussed. A new measurement of the annihilation radiation is reported. The relation of this measurement to the determination of the mass of the positron is discussed. Measurements of the wavelength of the 411 Kev gamma-ray line following decay of Au198 are given. Wavelengths of sixteen gamma-ray lines following decay of Ta182 are tabulated. The formulation of an energy level scheme for its daughter W182 is discussed.</p

Wavelet-Packet Powered Deepfake Image Detection

As neural networks become more able to generate realistic artificial images, they have the potential to improve movies, music, video games and make the internet an even more creative and inspiring place. Yet, at the same time, the latest technology potentially enables new digital ways to lie. In response, the need for a diverse and reliable toolbox arises to identify artificial images and other content. Previous work primarily relies on pixel-space CNN or the Fourier transform. To the best of our knowledge, wavelet-based gan analysis and detection methods have been absent thus far. This paper aims to fill this gap and describes a wavelet-based approach to gan-generated image analysis and detection. We evaluate our method on FFHQ, CelebA, and LSUN source identification problems and find improved or competitive performance.Comment: Source code is available at https://github.com/gan-police/frequency-forensic

The Ursinus Weekly, May 8, 1903

A plea for pure sport • Audubon Science Club • Baseball • The farmer • YMCA • Valley Forge • Chorus concert • Dr. Crawford speaks • Philadelphia letter • Alumni Association of Ursinus College • Society noteshttps://digitalcommons.ursinus.edu/weekly/3086/thumbnail.jp

PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings

Recently, knowledge graph embeddings (KGEs) received significant attention, and several software libraries have been developed for training and evaluating KGEs. While each of them addresses specific needs, we re-designed and re-implemented PyKEEN, one of the first KGE libraries, in a community effort. PyKEEN 1.0 enables users to compose knowledge graph embedding models (KGEMs) based on a wide range of interaction models, training approaches, loss functions, and permits the explicit modeling of inverse relations. Besides, an automatic memory optimization has been realized in order to exploit the provided hardware optimally, and through the integration of Optuna extensive hyper-parameter optimization (HPO) functionalities are provided

Repurposing human PDE4 inhibitors for neglected tropical diseases : design, synthesis and evaluation of cilomilast analogues as Trypanosoma brucei PDEB1 inhibitors

Author Posting. © The Author(s), 2014. This is the author's version of the work. It is posted here by permission of Elsevier for personal use, not for redistribution. The definitive version was published in Bioorganic & Medicinal Chemistry Letters 24 (2014): 4084-4089, doi:10.1016/j.bmcl.2014.07.063.A medicinal chemistry exploration of the human phosphodiesterase 4 (hPDE4) inhibitor cilomilast (1) was undertaken in order to identify inhibitors of phosphodiesterase B1 of Trypanosoma brucei (TbrPDEB1). T. brucei is the parasite which causes African sleeping sickness, a neglected tropical disease that affects thousands each year, and TbrPDEB1 has been shown to be an essential target of therapeutic relevance. Noting that 1 is a weak inhibitor of TbrPDEB1, we report the design and synthesis of analogs of this compound, culminating in 12b, a sub-micromolar inhibitor of TbrPDEB1 that shows modest inhibition of T. brucei proliferation.This work was funded by the National Institutes of Health (R01AI082577)