Background: Schneiderian first rank symptoms are
considered highly valuable in the diagnosis of
schneideria.
They are more evident in the acute phase of the
disorder and fading gradually with time. Many studies
have shown that the rate of these symptoms are
variable in different countries and are colored by
cultural beliefs and values.
Objectives: To find out the rate of Schneiderian first
rank symptoms among newly diagnosed schizophrenic
patients, to assess which symptom(s) might
predominate in those patients, and to find out if there
is/are any correlation(s) between the occurrence of
these symptoms and the sex of the patients.
Methods: Out of twenty-four patients with no past
psychiatric history and whom were diagnosed as
Schizophrenia for their first time depending on
Diagnostic and Statistical Manual-4th Edition-Text
Revised criteria for diagnosis were evaluated for the
presence of Schneiderian First Rank Symptoms by
using a semi-structured interview schedule.
Results: Out of twenty -three patients (54.7%) had
present with one or more Schneiderian First Rank
Symptoms.' Third person Hallucinatory Voices",
"running Commentary Hallucinatory Voices', and "
Somatic Passivity" were present more frequently than
other symptoms.
The study revealed no sex differences in regard of the
occurrences of the Schneiderian (FRS). More than 82%
of those who had the symptoms showed more than one
symptom.
Conclusions: Many factors influence the presence or
absence of Schneiderian First Rank Symptoms among
schizophrenic patients including the criteria selected
for the diagnosis of the disorder, the tools adopted for
the detection of these symptoms, the duration of the
illness, and probably patient's cultural background.
Although there are individual differences of First Rank
Symptoms among different cultures, still we expect
certain symptoms to be present more than others. The
influence of cultural factors in altering the basic
symptoms of psychiatric illnesses is of great
importance
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Autism is a lifelong developmental deficit that affects how people perceive the world and interact with each others. An estimated one in more than 100 people has autism. Autism affects almost four times as many boys than girls. The commonly used tools for analyzing the dataset of autism are FMRI, EEG, and more recently "eye tracking". A preliminary study on eye tracking trajectories of patients studied, showed a rudimentary statistical analysis (principal component analysis) provides interesting results on the statistical parameters that are studied such as the time spent in a region of interest. Another study, involving tools from Euclidean geometry and non-Euclidean, the trajectory of eye patients also showed interesting results. In this
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Humanoids or bipedal robots are other kinds of robots that have legs. The balance of humanoids is the general problem in these types when the other in the support phase and the leg in the swing phase. In this work, the walking pattern generation is studied by MATLAB for two types of degrees of freedom, 10 and 17 degrees of freedom. Besides, the KHR-2HV simulation model is used to simulate the experimental results by Webots. Similarly, Arduino and LOBOT LSC microcontrollers are used to program the bipedal robot. After the several methods for programming the bipedal robot by Arduino microcontroller, LOBOT LSC-32 driver model is the better than PCA 96685 Driver-16 channel servo driver for programming the bipedal walking rob
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The objective of the research , is to shed light on the most important treatment of the problem of missing values of time series data and its influence in simple linear regression. This research deals with the effect of the missing values in independent variable only. This was carried out by proposing missing value from time series data which is complete originally and testing the influence of the missing value on simple regression analysis of data of an experiment related with the effect of the quantity of consumed ration on broilers weight for 15 weeks. The results showed that the missing value had not a significant effect as the estimated model after missing value was consistent and significant statistically. The results also
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