Effectiveness of Fromkein Model for Analysis of Blend and Exchange Speech Errors in Urdu Language

The study aims to examine the speech errors made by the speakers of Urdu language. Paper also identifies the types and most frequently used errors in the Urdu language. Speaking is one of the major forms of language production. It involves the process of how a speaker translates information and intention in a given language. It is an active procedure of the human mind and strictly governed by phonological syntactic and semantic rules. Error analysis is defined as a way of identifying, organizing and systematically interrupting the improper forms produced by someone speaking the native language, using any of the principles and procedures provided by linguistics (Crystal, 2003). There exist tremendous difficulties in natural speeches uttered by the speakers unconsciously. Due to the trend of English medium in schools as we use English as our official language that’s why most of the students face problem while reading the Urdu language so when they switch their language into Urdu they commit so many errors. So to identify those errors which we commit while speaking the Urdu language. The method of the study includes 30 participants randomly selected from the undergraduate level. The data was collected through the audio recordings of the participants for the investigation of speech errors. Fromkein’s classification scheme has been used to analyze the errors and their frequencies in a speech. The result identified the specific type of speech error and their occurring frequencies in speech production. The results of the study identified the types of speech errors which committed most are blend and exchange error. Moreover, the findings of the study also checked the frequency of the errors committed in speech production. Keywords: Speech errors, analyze, Data collection, Recordings, Percentage DOI: 10.7176/JEP/11-24-07 Publication date:August 31st 202

Prevalence and severity of urinary incontinence among females after normal vaginal delivery

Background: Urinary Incontinence is the most common disorder associated with women after vaginal delivery due to the weakening of pelvic floor muscles. More than 50% of females experience urinary incontinence. It is defined as the involuntary leakage of urine. The condition is common not only in older women but also in young nulliparous women. Objective: The key objective of the study was to determine the prevalence and severity of Urinary Incontinence after normal vaginal delivery. Method: The study was Cross-sectional and there were 160 participants in the study. The study was conducted at the Physical Therapy department and Gynaecology Ward of Fauji Foundation and Geo hospital Lahore. The data was collected from women who had delivered between the ages of 20-40 years. The data collection was done by using Incontinence Severity Index that was used as primary outcome measure. Results: A total of 160 responses were received, based on inclusion and exclusion criteria. Among respondents, females in the age group of 20-25 had a rate of urinary incontinence with 31.3 percent. Results showed that females in the age group of 25-30 had high BMI and had a high rate of urinary incontinence with the range of 61.3 percent. As result, there was a positive correlation of urinary incontinence between age and score that ranged from 0.185. There was a positive correlation of urinary incontinence between the score and BMI that ranged between 0.174. Conclusion: This analysis revealed that there was a high prevalence rate of urinary incontinence among females after delivery that had a correlation with age

C -Reactive Protein, Leukocyte Count and Neutrophils: A Diagnostic Aid in Acute Appendicitis

Background: Malnutrition is known to be a poor prognostic factor affecting the outcome of pediatric cancers. The objective of this study was to assess the pre-existing malnutrition in newly diagnosed pediatric cancer patients presenting at the Pediatric Oncology Department, Children Hospital, PIMS and their number of hospital admissions due to causes other than chemotherapy. Methodology: Data of 44 newly diagnosed children with cancer was analyzed to find out the association of nutritional status according to z-score for weight and height for age, body mass index (BMI) and mid-upper arm circumference (MUAC) with their number of hospital admissions for 6 months since their date of diagnosis. Results: The mean age of the study subjects was 4.25 ± 2.85 years, out of which 33(75%) were males and 11(25%) females. Most of the patients were diagnosed with leukemia or lymphoma.  Nutritional status evaluation of thirty patients who got admitted was mild to moderate wasting in 24(80%) assessed by weight for age, mild to moderate stunting in 21 (70%) according to height for age and mild to severe malnutrition in 10 (33%) based on body mass index and mid upper arm circumference (MUAC). There was significant association between nutritional status of patients at the time of diagnosis with additional hospitalization with p value less than 0.05 Conclusion: Malnutrition at the time of diagnosis is significantly associated with an increase in the number of hospital admissions in pediatric cancer patients. Key words: Hospitalization, Malnutrition, Oncology, Pediatric &nbsp

SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

Background Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population.The aim of this study was to inform vaccination prioritization by modelling the impact of vaccination on elective inpatient surgery. The study found that patients aged at least 70 years needing elective surgery should be prioritized alongside other high-risk groups during early vaccination programmes. Once vaccines are rolled out to younger populations, prioritizing surgical patients is advantageous