19 out of 106 (17.9%) participants were under high fear group and the remaining 87 (82.1%) were under low fear group. With regards to gender, 5 out of 44 (11.4%) male respondents and 14 out of 62 (22.6%) female respondents were under high fear group. With regards to status of visit, about 34.3% (n=12) of 35 participants of first visit were classified under high fear group, whereas only 7 out of 71 (9.9%) participants who had past dental visits were classified as children under high fear group. Upon the evaluation of CFSS-DS, it was found
The average SPM score of Chinese students (54.09±3.06) was significantly higher than that of Mauritian students (48.88±3.95; t=13.56, p=0.000). PANAS: the average positive mood score of Chinese students (35.73±6.26) was significantly higher that of Mauritian students (33.48±5.74; t=3.42, p=0.001); the average negative mood score of Chinese students (18.55±4.98) was lower than that of Mauritian students (20.13±3.30; t= -3.39, p=0.001). NEO-FFI: The average scores of Chinese students on openness, agreeableness and conscientiousness respectively were significantly higher than those Mauritian students (31.72 ± 5.62, 26.23 ± 3.88, 30.47 ± 4.59); (29.82 ± 4.66, 25.04 ± 3.87, 25.79 ± 5.08); t1-3=3.332, 2.804, 8.884, p1-3=0.001, 0.005, 0.000; the average score on extraversion of Chinese students (29.57 ± 5.10) was significantly lower than that of Mauritian students (32.24 ± 10.54); t= - 2.997, p=0.003. EMBU: The average score for maternal emotional warmth of Chinese students (55.25±10.72) was significantly higher than that of Mauritian students (45.00±10.97; t=8.64, p=0.000). The average score for paternal emotional warmth of Chinese students (32.85±6.15) was significantly higher than that of Mauritian students (28.48±5.41; t=6.87, p=0.000).
In this lab there were five different stations. For the first station we had to determine an unknown mass and the percent difference. To find the unknown mass we set up the equation Fleft*dleft = Fright*dright. We then substituted in the values (26.05 N * 41cm = 34cm * x N) and solved for Fright to get (320.5g). To determine the percent difference we used the formula Abs[((Value 1 - Value 2) / average of 1 & 2) * 100], substituted the values (Abs[((320.5 - 315.8) / ((320.5 + 315.8) / 2)) * 100]) and solved to get (1.58%).
In order to complete this experiment, first a picture five faces have to be gathered (the faces have to be centered and fully visible). Then using the Golden Ratio theory the face should be measured in proportionate sizes. This can be done; vertically which is nose to forehead vs. nose to chin, transversely which is the distance of the mouth vs. the distance of the nose, and finally externally which incompassess the forehead to ear vs. the ear to chin. Then the values will be stored and averaged in order to find the overall deviation of the face. Simultaneously, fifty people will be surveyed and asked to “rate the face shown from one to ten” after this process occurs the scores will be averaged and recorded.
In the game of telephone, the signals is the word being whispered. The dendrite receives the world whispered by another student (nerve cell). Our ears are like the dendrites because they are hearing the word that needs to be passed along. The axon conducts signals for the neuron. This is related to students using their mouths to actually say the word.
In an experiment conducted by Jennifer Steele from the American University, Students assigned of the former are said to outperform their monolingual peers by 10 percent in reading comprehension. Steele also adds that it is not reading but also in subjects like math or science. She explains the improvement from “metalingustic awareness” or how learning more than one language increases awareness in how languages work overall. Another explanation comes from Gigi Luk from Harvard. From an experiment she conducted on 100 fourth grade students in Massachusetts, test results from a reading test differed from language experiences It was concluded that those whose native language was not English actually scored higher.
This was shown to have a sensitivity of 92 percent compared to videoflouroscopic modified barium swallow. The Gugging swallowing screen(44) is a scoring system consisting of preliminary part and direct swallowing test. In the direct swallow test, several considtencies are used like solid, semi-solid and liquids. The scores range from 0 to 20 and lower scores indicating dysphagia. The score was compared to Fibreoptic endoscopic evaluation of swallowing and the sensitivity was found to be 100 percent and a positive predictive value of 81 percent for
The term Audiologist refers to a person rather a professional that has specialized in treating people that suffer with hearing loss. These professionals undergo extensive training to learn the skills of evaluating the hearing of infants, children, adolescents, and adults. To find out the nature of a person’s hearing problem, audiologists conduct an assortment of tests. Once they identify the source or cause of the hearing problem in the patient, they prescribe a variety of treatments to the same so that the person can start hearing. If the professionals find out that the hearing impairment in their patient is from birth but can hear certain types of sound faintly, they are likely to fit a hearing aid in the patient’s ear.
A speech audiometry hearing assessment is appropriate for ages 2 to 5 and thus it is a test that can be used to asses Baily’s hearing. In a speech audiometry test we can assess speech thresholds by having the child follow directions with a varying intensity of the signal (e.g, point to your shoe). If Baily doesn’t understand the commands we can evaluate her hearing by observing behavior during the evaluation. Head turn towards presented stimuli demonstrate the ability to hear the specific sounds at the specific intensity. Since speech audiometry will only reveal approximate thresholds the Ling sounds can be used to assess specific frequencies.
Method: 50 patients were evaluated and included in the study. They were evaluated for pain using Numerical Pain Rating Scale (NPRS) and the forward head posture was assessed by measuring CV angle. The total duration of the study was 6 months. Analysis was done using SPSS Version 20. Results: Spearman’s correlation test was used to find correlation between CV angle and neck pain and the r value was found to be -0.731 with the level of significance 0.01.