Study participants were postmenopausal infertile women with an age range from 48 to 65 years with mean age of 54.41 ± 4.34 years. Table 1 presents the demographic characteristics of study participants. Characteristics Age* 54.41 ± 4.34 Job** Housewife Tailor Marketer Retired employee Barber 12(70.6) 1(5.9) 2(11.8) 1(5.9)
The speaker recognition process relies on features influenced by both the physical structure of an individual’s vocal tract and the behavioral characteristics of the individual.  A popular choice for remote authentication due to the availability of devices for collecting speech samples and its ease of integration, speaker recognition is different from some other biometric methods in that speech samples are captured dynamically or over a period of time, such as a few seconds. Analysis occurs on a model in which changes over time are monitored, which is similar to other behavioural biometrics such as dynamic signature, gait, and keystroke recognition. The unique patterns of an individual’s voice is then produced by the vocal tract. The vocal tract consists of the laryngeal pharynx, oral pharynx, oral cavity, nasal pharynx, and the nasal cavity.
Intelligence was measured using Raven`s Standard Progressive Matrices (SPM), mood was measured using the Positive Affect and Negative Affect Schedule (PANAS), convergent thinking was assessed using the Remote Associates Test (RAT), personality was measured using the Neuroticism, Extraversion and Openness Five Factor Inventory (NEO-FFI), and memories of parental upbringing was measured using Egna Minnen Beträffande Uppfostran (EMBU). Data obtained was analyzed using SPSS version 22.0. Descriptive statistics, independent t-tests, Pearson correlation, linear regression and binary logistic regression were carried out to compare the obtained results. Statistical significance was set at p <
The patients ranged from infancy to elderly ages. Majority of the cases occurred in the second and fourth decades of life. Recent study series demonstrated mean age ranging from 24 to 57 years (9,16,18,19). This relationship has not been formally investigated though. It may reflect the greater proportion of older immunosuppressed individuals, greater life expectancy and lower rates of traumatic brain injury in younger individuals (13).
Figure 2. Breakdown of respondents by age Figure 2 shows the age categories the respondents belong to. 44.21% of the population are 15 and younger, while 97.89% of the students are 17 and younger. Meanwhile, the majority of the students who participated in the study fall under the age group 14 to 15, accounting for 27.89% of the total responses. This data shows that most of the students in the target market are under middle to late adolescence.
The subjective evaluation helps determine human ability for classification of out-of-breath speech from the normal speech. For listening purpose, we have used same headset (HP Headphone with Microphone-B4B09PA), which was used for recording purpose. The headset contains both the microphone for recording and the headphone for listening. Before listening test, we have provided training example to the listeners so that the listeners get acquainted about the three classes of OBS database. Two different tests  are performed for assessment of out-of-breath speech (OBS) database.
A study conducted by Mahmoud, F. S & Abd-ElSadik, B. (2013).to assess the effect of clinical pathway regarding promoting quality nursing care of children with meningitis exposed to invasive procedures. They found that the mean age of the studied nurses was 25.46 ± 5.08 years. As regards nursing qualification, about two thirds (64.3%) of them had secondary nursing school diploma. As illustrated from the results of the current study the majority of nurses had unsatisfactory level of knowledge and incompetent practice about diabetes and DKA before application of CP as compared to post implementation of CP the relatively high percentage of them gained satisfactory level of knowledge and competent practice.
METHODS Participants: One hundred and forty four students of secondary and senior secondary level were participated in the study. Participant’s age range from 14-18 years (Mean= 15.48 years; SD=0.96 years). Seventy five of the participants were male (52.08 %) and 69 were female (47.92 %). There were 105 participants form secondary level (72.92 %) and 39 were form senior secondary level (27.08 %) of schooling. Measures 1.
The Brief COPE Scale is an abbreviated version of COPE inventory developed by Carver, Scheier, & Weintraub (1989) to assess a broad range of coping responses. The Brief COPE Scale was developed by Carver in the year 1997. It consists of 28 items and measures 14 areas of coping (Self-distraction, Active coping, Denial, Substance use, Use of instrumental support, Use of emotional support, Venting, Positive reframing, Behavioral disengagement, Planning, Humor, Acceptance, Religion, Self-blame) of two items each. Respondents were asked to answer to each item on a four-point Likert scale, indicating what they usually do and feel when they face stressful events (1 = I have not been doing this at all – 4 = I have been doing this a lot). The higher the score on each coping strategy, the greater the use of the particular coping strategy.
The main independent variables were problems of accessing to health care service. The participants were asked if a problem of accessing to health care was a big problem or not. As other independent variables, we included socio-demographic, socioeconomic, and maternal health care status. The age range (15-49 years old) of the sample was considered as women’s reproductive age. The age group was categorized in 3 groups; the younger group (15-24 years old), reductively appropriate group (25-34 years old), and the older group (35-49 years old).