(See new downloads below, added October 21, 2020.) |
This page by William H. Baxter and Laurent Sagart provides supplementary materials to accompany our book Old Chinese: a new reconstruction.Although the page is still under construction, you can now download .pdf files with almost 5000 reconstructed items sorted in various ways (see Downloads below) NEW: a list of errata, and a link to our response to Axel Schuessler’s review of our book, are available under 'New downloads' below. |
Recent results indicate that the generic descriptors extracted from the convolutional neural networks are very powerful. This paper adds to the mounting evidence that this is indeed the case. We report on a series of experiments conducted for different recognition tasks using the publicly available code and model of the OverFeat network which was trained to perform object classification on. Free drivers for HP LaserJet P2014. Found 18 files for Windows 8, Windows 8 64-bit, Windows 7, Windows 7 64-bit, Windows Vista, Windows Vista 64-bit, Windows XP, Windows XP 64-bit, Windows 2000, Windows Server 2003, Windows Server 2003 64-bit, Windows 98, Windows ME, Mac OS X, SCO, Unixware, Caldera OpenUNIX 8, HP-UX, IBM AIX, IRIX, OpenVMS, Sun, Tru64 UNIX. H&R Block does not automatically register hours with UOP. Students will need to contact UOP to request matriculation of credit. Additional fees may apply from the University of Phoenix® Western Governors University is a registered trademark in the United States and/or other countries. H&R Block does not automatically register hours with WGU.
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Baxter, William H., and Laurent Sagart. 2014. Old Chinese: a new reconstruction. New York: Oxford University Press. More information is available at |
New downloads (as of October 21, 2020):
For a list of errata and corrections for Old Chinese: a new reconstruction, as an Excel file (.xlsx), click here (or right-click and 'save as' to download the file).
For the same list of errata and corrections as a pdf file, click here (or right-click and 'save as' to download the file).
For a pre-publication version of our response to Axel Schuessler’s 2015 review of our book in Diachronica (32:4, 571–598) click here (or right-click and 'save as' to download the file). (The published version of our response is in Diachronica 34:4 (2017), 559–576.)
Old Chinese reconstructions
For a list (in .pdf format) of almost 5000 reconstructed Old Chinese items, sorted by Grammata Serica Recensa number, click here (or right-click and 'save as' to download the file).
For a list (in .pdf format) of almost 5000 reconstructed Old Chinese items, sorted by pinyin alphabetical order, click here (or right-click and 'save as' to download the file).
For a list (in .pdf format) of almost 5000 reconstructed Old Chinese items, sorted by radical and stroke number, click here (or right-click and 'save as' to download the file).
For a list (in .xlsx format) of almost 5000 reconstructed Old Chinese items, clickhere (or right-click and 'save as' to download the file).
The files on this page (related to Baxter & Sagart 2014: Old Chinese: a new reconstruction, New York, Oxford University Press) by William H. Baxter and Laurent Sagart are licensed under CC BY 4.0
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This page last updated on November 16, 2020.
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Component Description
The Alcohol Use Questionnaire (variable name prefix ALQ) focuses on lifetime and current use (past 12 months). Questions are not specific to type of alcohol used.
Eligible Sample
Participants aged 12 years and older were eligible; however, only data from participants aged 18 and over are included in this file. Mentally impaired individuals or participants who were unable to understand English or Spanish were excluded from the ALQ.
Interview Setting and Mode of Administration
The ALQ is administered at the Mobile Examination Center (MEC) during the MEC Interview. For adults 18 years and older, questions were asked by trained interviewers using the Computer-Assisted Personal Interview (CAPI) system. For youths 12-17 years, questions were self-administered using the Audio Computer-Assisted Self-Interview (ACASI) system. The ACASI was conducted in both English and Spanish.
Quality Assurance & Quality Control
The CAPI system is programmed with built-in consistency checks to reduce data entry errors. CAPI also uses online help screens to assist interviewers in defining key terms used in the questionnaire.
The ACASI enables respondents to hear questions through headphones as well as read questions on the computer screen. Respondents moved at their own speed and touched the screen to indicate their responses. No proxy respondents or translators were used during the ACASI.
For details on the QA/QC process for this component, please refer to the MEC Interviewer Procedures manual on the NHANES website.
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The data were edited for completeness, consistency, and illogical values.
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Please refer to the NHANES Analytic Guidelines and the on-line NHANES Tutorial for further details on the use of sample weights and other analytic issues.
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Information on alcohol use is collected from all participants aged 12 years and older. Only data from participants aged 18 and older are included in this data file. A special use data file for participants aged 12-17, ALQ_H_R, is available through the NCHS Research Data Center (RDC).