Music Appreciation (GGC)

This Grants Collection for Music Appreciation was created under a Round Five ALG Textbook Transformation Grant. Affordable Learning Georgia Grants Collections are intended to provide faculty with the frameworks to quickly implement or revise the same materials as a Textbook Transformation Grants team, along with the aims and lessons learned from project teams during the implementation process. Documents are in .pdf format, with a separate .docx (Word) version available for download. Each collection contains the following materials: Linked Syllabus Initial Proposal Final Reporthttps://oer.galileo.usg.edu/arts-collections/1004/thumbnail.jp

Music Appreciation (Georgia Gwinnett College)

This Music Appreciation textbook was created under an ALG Round Five Textbook Transformation Grant. The original copy was presented in five modules, which are provided as separate files. Authors\u27 Description: The author of this text has intentionally kept it general in nature in order to create a platform for those who want to expand content into more in depth studies of the mentioned concepts and traditions. I believe that appreciation of any subject comes from open-minded exposure to that topic. With the arts this generally must happen at a moment when the message and meaning of the work resonates naturally with the appreciator. Each instructor of music appreciation brings a unique expertise in differing genres. I encourage you to utilize this text along with musical examples of your choice. The music appreciation specific goals (found in the syllabus) vary between individual classes as the instructors see fit. These goals will be achieved by those who have competently met all of the requirements of the course. For the course that this text accompanies the goals for each student are: To gain basic exposure to the elements of music and their treatment in music To learn historical and cultural signifiers in a diverse body of music • To approach listening to music actively/analytically and to reflect on the experience To understand the factors that contribute to musical style in their own music and music presented in the course To gain knowledge about differing musical aesthetics and trends To become more knowledgeable and sensitive to varied human expression through music If we endeavor together to reach these course goals the successful student will be able to: Describe elements of music that s/he hears, employing correct musical terminology Place music into an appropriate historical and cultural context Listen critically and discuss a wide variety of musical styles Analyze the stylistic features of a diverse group of musical styles Identify nationalistic tendencies in musical expression Identify musical diversity and aspects of our global society Accessible files with optical character recognition (OCR) and auto-tagging provided by the Center for Inclusive Design and Innovation.https://oer.galileo.usg.edu/arts-textbooks/1004/thumbnail.jp

CLustre : semi-automated lineament clustering for palaeo-glacial reconstruction

Datasets containing large numbers (>10,000) of glacial lineaments are increasingly being mapped from remotely sensed data in order to develop a palaeo-glacial reconstruction or ”inversion”. The palimpsest landscape presents a complex record of past ice flow and deconstructing this information into a logical history is an involved task. One stage in this process requires the identification of sets of genetically linked lineaments that can form the basis of a reconstruction. This paper presents a semi-automated algorithm, CLustre, for lineament clustering that uses a locally adaptive, region growing, methodology. After outlining the algorithm, it is tested on synthetic datasets that simulate parallel and orthogonal cross-cutting lineaments, encompassing 1,500 separate classifications. Results show robust classification in most scenarios, although parallel overlap of lineaments can cause false positive classification unless there are differences in lineament length. Case studies for Dubawnt Lake and Victoria Island, Canada, are presented and compared to existing datasets. For Dubawnt Lake 9 out of 14 classifications directly match incorporating 89% of lineaments. For Victoria Island 57 out of 58 classifications directly match incorporating 95% of lineaments. Differences are related to small numbers of unclassified lineaments and parallel cross-cutting lineaments that are of a similar length. CLustre enables the automated, repeatable, assignment of lineaments to flow sets using defined user criteria. This is important as qualitative visual interpretation may introduce bias, potentially weakening the testability of palaeo-glacial reconstructions. In addition, once classified, summary statistics of lineament clusters can be calculated and subsequently used during the reconstruction process

Functional Levels of α2-Macroglobulin in Plasma in Relation to Emphysema

Peer Reviewe

Determination of Functional Activity of α1-Protease Inhibitor and α2-Maeroglobulin in Human Plasma Using Elastase

Peer Reviewe