Computer-assisted identification of anaerobic bacteria

Computer-assisted identification of anaerobic bacteria.

A computer program was developed to identify anaerobic bacteria by using simultaneous pattern recognition via a Bayesian probabilistic model. The system is intended for use as a rapid, precise, and reproducible aid in the identification of unknown isolates. The program operates on a data base of 28 genera comprising 238 species of anaerobic bacteria that can be separated by the program. Input t...

the impact of computer-assisted language learning on achievement motivation of high school students

چکیده انگیزه دلیل اصلی رفتارهای ما است. به نظر می رسد انگیزه جزء جدایی ناپذیر فرایند یادگیری باشد. ارزش ذاتی موفقیت تمایل به پیشرفت را در یادگیرنده ایجاد میکند. به عبارت ساده این تمایل انگیزه پیشرفت نامیده میشود. انگیزه پیشرفت را میتوان در احساس یادگیرنده هنگام چالش با درس های مدرسه، لذت انجام فعالیت درسی، یا حس کشف پاسخ مشاهده کرد.حتی ممکن است انگیزه پیشرفت را در تلاش یادگیرنده برای جلب تایید...

Identification of non-sporing anaerobic bacteria.

Over the last few years there has been a notable increase in the incidence of isolation of anaerobic bacteria in routine hospital laboratories. Careful collection of clinical specimens usually transported to the laboratory in special media, maintaining an anaerobic environment, and selective culture media have all played a significant role. The identification of anaerobic bacteria, particularly...

Identification of clinically significant anaerobic bacteria.

By combining the various methodologies for anaerobic bacteriology, a scheme has been developed with four flow charts for the identification of the clinically significant anaerobic organisms. This scheme incorporates the use of gas chromatography and a micromethod biochemical system.

Rapid Identification of Anaerobic Bacteria Using Matrix Assisted Laser Desorption Ionisation Time-of-flight Mass Spectrometry