SKU: 17581542463

Ear Ossicle Model

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Description

Ear Ossicle ModelEar ossicle model. Ossicle bodes is the three smallest bones that are joined to each other in the human body are located in the middle ear and are referred to as the auditory ossicles: malleus (hammer), incus (anvil) und stapes (stirrup). Their job is to transmit incoming sound from the eardrum via the vestibular window to the inner ear and mechanically amplify the sound. The inner ear must be protected from lasting harm which can be caused by loud

Ear ossicle model. Ossicle bodes is the three smallest bones that are joined to each other in the human body are located in the middle ear and are referred to as the auditory ossicles: malleus (hammer), incus (anvil) und stapes (stirrup).

Their job is to transmit incoming sound from the eardrum via the vestibular window to the inner ear and mechanically amplify the sound. The inner ear must be protected from lasting harm which can be caused by loud noise., this is achieved by a reflex that triggers muscle movement (stapedius muscle). causing the stapes to tilt for a short time and therefore sound can only be partially transmitted.

If the auditory ossicles are shaken too vigorously (e.g. a sneeze or a cough), another muscle (tensor timpani) provides protection, by sticking to the hammer and tightening the eardrum.

Otosclerosis is a typical condition that affects the auditory ossicles, causing them to stiffen, leading to increasing loss of hearing. In our model, you can see a cast and enlargement of original ossicles, created using micro CT.

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SKU: 17581542463

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Zay
Boise, US
★★★★★ 5
Upside down (Great)
Format: Hardcover
Was extremely relatable and a blessing I gifted this book and want it back lol but I will be ordering again
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Reviewed in the United States on October 23, 2024
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Rory Derrick
Lexington, US
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
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Reviewed in the United States on December 2, 2021
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Cory P.
Phoenix, US
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
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Reviewed in the United States on August 3, 2021
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Frank Gonzalez
San Leandro, US
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
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Reviewed in the United States on April 7, 2024
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Ira Laefsky
Pawtucket, US
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning. The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
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Reviewed in the United States on February 7, 2021

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