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Labyrinthine function is tightly coupled to proper homeostasis.
This includes appropriate blood flow that is under strict
autoregulatory control. Perturbations in labyrinthine
microcirculation can lead to significant cochlear and/or vestibular
dysfunction. The etiology of many otologic disorders, including
sudden sensorineural hearing loss, presbyacusis, noise-induced
hearing loss, and certain vestibulopathies, are suspected of being
related to alterations in blood flow. It looks as if the ear
listens to the heart and the heart beats in our ears.
Oral cancer is a subtype of head and neck cancer, is any cancerous
tissue growth located in the oral cavity.It may arise as a primary
lesion originating in any of the oral tissues, by metastasis from a
distant site of origin, or by extension from a neighboring anatomic
structure, such as the nasal cavity or the oral cancers may
originate in any of the tissues of the mouth.There are several
types of oral cancers, but around 90% are squamous cell carcinomas,
originating in the tissues that line the mouth and lips. Oral or
mouth cancer most commonly involves the tongue. It may also occur
on the floor of the mouth, cheek lining, gingiva (gums), lips, or
palate (roof of the mouth).
The universal use of herbicides in agriculture creates a necessary
to study the effect of these chemicals on non-target organisms such
as algae, which are sensitive to herbicides where they share with
higher plants many common characters. So this book aimed at
studying the effect of two herbicides glyphosate and
clodinafop-propargyl which are currently used in Egypt on soil
algae, as well as, to study the effect of these herbicides on the
growth and some metabolic activities of some algae such as
Scenedesmus quadricauda (Chlorophyta) and Merismopedia glauca
(Cyanophyta) which isolated from the soil.
One of the inherent modeling problems in structural engineering is
creep of quasi-brittle materials (e.g., concrete and masonry). The
creep strain represents the non-instantaneous strain that occurs
with time when the stress is sustained. Several creep models with
limited accuracy have been developed within the last few decades to
predict creep of concrete and masonry structures. The stochastic
nature of creep deformation and its reliance on a large number of
uncontrolled parameters (e.g., relative humidity, age of loading,
stress level) makes the process of prediction difficult, and yet
accurate mathematical model almost impossible. This study
investigates the potential use of Dynamic Neural Network (DNN) for
predicting creep of structural masonry. The main motive of use DNN
is that DNN could memorize the sequential or time-varying patterns
while training process. Thus, DNN becomes more capable of capturing
the time-dependent of creep deformation than the static networks.
The results showed that the developed DNN models are able to
predict the creep deformation with an excellent level of accuracy
compared with that of conventional methods and the static networks
models.
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