Information on how to navigate the collection and tips on using the DjVu plug-in.

Using the DjVu Plug-in

The full documentation of the DjVu plug-in can be viewed by displaying a DjVu document (any document) and hitting the "?" key while the mouse pointer is in the document window (or by pressing the right mouse button and selecting "help" from the menu).

The following keyboard shortcuts are available when viewing a DjVu document. They greatly enhance the user experience:

Key/Action	Function
Left-Click and Drag	Pan around the image (more convenient than the scrollbars). Panning can also be done with the arrow keys.
Right-Click	Pop up the DjVu plug-in menu
Space, Enter	Go to the next page
Backspace	Go to the previous page
Page Down	Scroll page down. If at the bottom of the page, flip to the next page
Page Up	Scroll page up. If at the top of the page, flip to the previous page
+, =	Zoom In
-, _	Zoom Out
1, 2, 3	Change magnification to 100%, 200% and 300% respectively.
W	Zoom to Fit Width
P	Zoom to Fit Page
F, CTRL-F, F3	Search and Highlight String in Current Document
Hold Down CTRL Key	Magnifier
?	Display HTML plugin help

Browsing the Collection

Browsing and Searching the Table of Contents

Go to the table of contents, and click on one of the "view" buttons to view the corresponding article. The article appears in a separate window (always the same window).

Use your browser's "find" function to search for authors and titles in the table of contents.

Simple string search is available while viewing a DjVu document: With your mouse pointer in the DjVu document window, hit the "F" key, or click the binocular icon on the DjVu toolbar. Then type a search string on the popup window.

NOTE: The string search is based on uncorrected text produced by Optical Character Recognition (OCR). This process is fairly accurate but not perfect.

Searching through the collection

Basic full-text search capability is provided through the JSS JavaScript Search Engine. Please go to the search page for more details.

NOTE: The string search is based on uncorrected text produced by Optical Character Recognition (OCR). This process is fairly accurate but not perfect.