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Parvalbumin, a calcium-binding protein present in vertebrate neurons, is a useful marker for identification of GABAergic neurons in fish. The present immunohistochemical study attempted to identify and characterize immunoreactive parvalbumin in the cerebellum of the zebrafish Danio rerio. Immunoreactivity was initially observed in the cerebellar Purkinje cells and in a group of cells, clustered into small clusters on each side of the rhombencephalic ventricular zone at the level of the rhombomere 2. No immunoreactive cells were identified in the cerebellar cortex outside the Purkinje cells. The Purkinje cells were classified into two types by both their morphology and localization in the cerebellar cortex. The two types of Purkinje cells appeared to be easily distinguishable in a whole brain stained with cresyl-violet. The immunohistochemical study further identified that the Purkinje cells of the two types were immunoreactive for parvalbumin. The cells stained for parvalbumin were located in the area of origin of climbing fibers. Electron microscopy revealed that the immunoreactive Purkinje cells in the cerebellar cortex were contacted by dendrites of the mossy fibers. The immunoreactive mossy fibers originate from the Golgi type I cells in the rhombomere 1/2, and join the axon hillock of the Purkinje cells. The present data provide evidence that the cerebellar Purkinje cells in the zebrafish are GABAergic neurons which are immunoreactive for parvalbumin.Services

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In this paper we propose a two-stage duration model using neural networks for predicting the duration of syllables in Indian languages. The proposed model consists of three feedforward neural networks for predicting the duration of syllable in specific intervals and a syllable classifier, which has to predict the probability that a given syllable falls into an interval. Autoassociative neural network models and support vector machines are explored for syllable classification. Syllable duration prediction and analysis is performed on broadcast news data in Hindi, Telugu and Tamil. The input to the neural network consists of a set of phonological, positional and contextual features extracted from the text. From the studies it is found that about 80% of the syllable durations are predicted within a deviation of 25%. The performance of the duration model is evaluated using objective measures such as mean absolute error (μ), standard deviation (σ) and correlation coefficient (γ).
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Optical coherence tomography (OCT) images semi-transparent tissues noninvasively. Relying on backscatter and interferometry to calculate spatial relationships, OCT shares similarities with other pulse-echo modalities. There is considerable interest in using machine learning techniques for automated image classification, particularly among ophthalmologists who rely heavily on diagnostic OCT. Artificial neural networks (ANN) consist of interconnected nodes and can be employed as classifiers after training on large datasets. Conventionally, OCT scans are rendered as 2D or 3D human-readable images of which the smallest depth-resolved unit is the amplitude-scan reflectivity-function profile which is difficult for humans to interpret. We set out to determine whether amplitude-scan reflectivity-function profiles representing disease signatures could be distinguished and classified by a feed-forward ANN. Our classifier achieved high accuracies after training on only 24 eyes, with evidence of good generalization on unseen data. The repertoire of our classifier can now be expanded to include rare and unseen diseases and can be extended to other disciplines and industries.
An artificial neural network (ANN) is a computational construct consisting of layers of interconnected virtual nodes2,3,4. Each node mimics the behavior of a biological neuron by way of a transfer function that maps an input signal to an output response. Artificial neural network

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Her main obsession after arriving in Steelport[4] is destroying The Syndicate, the loss of Johnny having affected her deeply and continues to do so for the rest of the game, prioritizing his revenge against Loren. As the Saints settle into Steelport, Shaundi becomes angry with how long it is taking to find and kill Phillipe Loren, and, when informed about Powder by Playa, she was threatening to burn it to the ground, much to Playa's surprise. When they get there, Pierce and Playa arguing about entering the place pushes Shaundi's patience to her limit and she quickly shoots the guards before leading the way to the back. Shaundi hacks the computer in the building to get the details, while Playa and Pierce deal with the Morningstar.[52] Afterwards, the three Saints return to the Saints HQ to load up on weapons before heading to the Syndicate Tower to kill Loren, proving successful thanks to Playa's quick thinking. Before they leave, Shaundi tells the crew that they should destroy the building to send a message, although Oleg Kirrlov reasons that keeping the building would be useful.[53]
In Saints Row: The Third, Playa has 7 different personalities.[Reference needed] Playa is portrayed as being, arguably, less susceptible to random bursts of violence, due to already having the power and wealth they desired.[Reference needed] In fact, the Saint's success in crushing the gangs of Stilwater and partnering with Ultor led to Playa's rise to celebrity status, complete with a Planet Saints franchise and movie offers.[57] They are still psychotic killers, as they show little emotion while killing other than excitement.[Reference needed] This is tempered by their loyalty to their fellow gang members, since Saints Row: the Third is mainly centered around them, Shaundi, and Pierce taking revenge after the death of Johnny Gat.[Reference needed] However, it seems that Playa is not entirely as merciless as before, agreeing to spare Matt Miller's life when the Decker's leader promises to cut ties with the Syndicate, as well as abandoning his role in the gang war and leaving Steelport, which Matt honors.[58] Despite having tendencies of a psychopath their loyalty to their friends and concern for their well-being is not a trait of psychopathic killers.
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Playa meets with Viola, Shaundi and Pierce, and Viola reveals the best way to defeat Killbane is to unmask and humiliate him at Murderbrawl. Playa kills off Killbane's upcoming opponents in order for Playa to enter into Murderbrawl and face Killbane[136]. Using a RC Possessor to control vehicles, Playa uses them on cars, boats and a helicopter containing wrestlers to kill them and make it look like an accident[137], which leaves Playa as the last opponent for Killbane. After getting Angel's mask back at the 3 Count casino and taking it over for the Saints[138] Playa helps Angel defeat Killbane at Murderbrawl, humiliating him[139].
Nonetheless, Playa escapes with help from Kinzie and meets her and Keith as he escapes aboard a stolen Zin ship. But as they head back to Earth to gather reinforcements, Zinyak upholds his threat by destroying the planet. Determined to avenge the Earth, Playa goes back into the simulation to rescue the other Saints and find a way to get to Zinyak.[171] After saving the other saints with the help of C.I.D.,[172][173][51][174][175] Playa learns that Johnny Gat is still alive.[176] After being warned that rescuing Johnny will most likely reveal

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