الأربعاء، 9 ديسمبر 2009

Encyclopedia of Reagents for Organic Synthesis (8 Volume Set)

Encyclopedia of Reagents for Organic Synthesis (8 Volume Set)

By


•Publisher: Wiley
•Number Of Pages: 6234
•Publication Date: 1995-11-21
•Sales Rank: 2655248
•ISBN / ASIN: 0471936235
•EAN: 9780471936237
•Binding: Hardcover
•Manufacturer: Wiley
•Studio: Wiley
•Average Rating: 4
•Total Reviews: 4

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Book Description: )

This essential reference contains an authoritative and systematic description of the use of all reagents in organic chemistry. It includes approximately 3500 alphabetically arranged articles, a comparison of reagents with others capable of similar chemistry, a pro and con assessment for each reagent, extensive cross-referencing and substantial subject and molecular formula indexes.

100431 KB + 10526 KB


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http://rapidshare.com/files/25909048/0471936235.part1.rar
http://rapidshare.com/files/25909039/0471936235.part2.rar

الأربعاء، 21 مايو 2008

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الأحد، 4 مايو 2008

Medical transcription a new field for pharmacists

What is medical transcription?
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Medical Transcriptionists (MTs) are specialists in medical language and healthcare documentation who transcribe patients' healthcare reports, including histories and physical examinations, discharge summaries, operative reports, etc. Using transcription equipment and a computer, they edit dictated material for grammar and clarity.

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Medical transcriptionists need to have an extensive knowledge of medical terminology to be able to produce documents that are accurate and complete. They need to have excellent English writing skills including grammar, structure, style and spelling. They should have in-depth knowledge of medical transcription practices, and skills in word processing, spelling, and proofreading. They should possess good hearing acuity and listening ability, with the patience of a saint. They should have strong research and analytical skills, and working knowledge of the internet is a plus.

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Medical transcriptionists work primarily in medical centers, hospitals, doctor's offices, and clinics. They work for private transcription companies called Medical Transcription Service Organizations (MTSOs). Other institutions include insurance companies, healthcare companies and even government facilities.

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Medical transcriptionists nationwide are more in demand than ever before - especially those who are well-qualified, professional and conscientious. Aside from the growing demand and limited supply, here are other reasons why this is a lucrative career:

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"In spite of the advances in this technology, it has been difficult for the software to grasp and analyze the human voice and the English language with all its diversity. There will continue to be a need for skilled medical language specialists who expand their education and have the knowledge to identify and appropriately edit the inevitable errors created by speech recognition systems and who have enough understanding of the health record to create a final document. Medical transcriptionists continue to be the best qualified to discern the nuances of human speech - indeed, the ultimate speech processors."

In short, the demand for Medical Transcriptionists will continue into the foreseeable future. There are things that humans can do which machines cannot. Only human beings can exercise their judgment in separating actual dictation from the mumbo-jumbo. Only human beings can adjust to changes in accent (particularly for ESL doctors), pronunciation and syntax. As new medical procedures develop and new terminologies are introduced, human beings can make the adjustments much faster than machines can.

السبت، 26 أبريل 2008

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الاثنين، 21 أبريل 2008

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الخميس، 17 أبريل 2008

Techniques for Searching Databases of Three-Dimensional (3D) Structures with Receptor-Based Queries

Ligand-based vs. Receptor-based 3D Searching
A key concept in 3D searching is the pharmacophore. The term, introduced by Ehrlich in the early 1900s , refers to the molecular framework that carries (phoros) the essential features responsible for a drug's (pharmacon) biological activity. In the current literature, the term has been expanded to refer to the 3D arrangement of functional groups that enable a compound to exert a particular biological effect. Due to stereochemical considerations (i.e., three-point attachments), many pharmacophores are defined simply in terms of three atoms and three distances. If more information is available, other geometric objects and constraints can be added, including constraints on data associated with atoms and bonds . Presently, most pharmacophores are defined in terms of the atoms and bonds of the ligand structures. This ligand-based definition has advantages for input and searching purposes; in the case where the structure of the receptor is completely unknown, it is the only way one can effectively define a pharmacophore model.
It is clear that drugs that bind to a common receptor do not necessarily bind with similar functional groups precisely overlapped; rather, these drugs may show multiple modes of binding . The interactions between a drug molecule and a receptor can be dispersed and nonspecific, as in steric and lipophilic interactions - which nevertheless account for most of the free energy changes in binding . Alternatively, they can be highly specific and directional, such as interactions involving H-bond donors and acceptors or those with bound metal ions. But even then, precise overlap of heteroatoms may not result, since the specific interactions occur over a range of angles, distances, and energies .
Clearly, in such cases, a receptor-based approach to a pharmacophore definition is needed to carry key features of the receptor involved in drug molecule binding. A full receptor-based pharmacophore model complements the ligand-based pharmacophore model for the same activity; it is the 'lock' for a given 'key.' This concept has been expressed and utilized previously, as in the extended molecule approach of Andrews . Our purpose is to show how to implement receptor-based queries in a pharmacophore-based 3D search system. We will also evaluate the success of these queries with respect to their pharmacophoric counterparts by testing them on a database of drugs with known activities.