Ayesha N. Khalid

Impostor Phenomenon - Prevalence and Impact on Undergraduate Medical Students in Islamabad; a Cross-sectional Study.

Momna Warraich, Muhammad Sulaman Akhtar, Ayesha N. Khalid, Hadiya Masood et autres

Abstract Objective: To determine the prevalence of Impostor Phenomenon among undergraduate Medical Students in Islamabad. The primary objectives include assessing the impact of IP across different academic years, exploring gender-based variations, and examining the influence of residential status on IP prevalence. Methods: …

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English as a Symbol of Prestige: A Study of Language Attitudes among Pakistani Students

Umme Habiba, Ayesha N. Khalid, Arooj Fatima

This study explores the perception of English as a symbol of prestige among Pakistani university students and examines how their language attitudes reflect broader social hierarchies and identity formations. Drawing on the framework of sociolinguistics and language ideology, the research investigates how …

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Executive Summary of the Clinical Practice Guideline on Adult Sinusitis Update

Spencer C. Payne, Margo K. McKenna, Jennifer R. Buckley, Maria Colandrea et autres

Abstract The American Academy of Otolaryngology–Head and Neck Surgery Foundation has published the updated “Clinical Practice Guideline: Adult Sinusitis” as a supplement to this issue of Otolaryngology–Head and Neck Surgery. To assist in implementing the guideline recommendations, this article summarizes the rationale, …

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Clinical Practice Guideline: Adult Sinusitis Update

Spencer C. Payne, Margo K. McKenna, Jennifer R. Buckley, Maria Colandrea et autres

The American Academy of Otolaryngology-Head and Neck Surgery Foundation has published a supplement to this issue of Otolaryngology-Head and Neck Surgery featuring the updated "Clinical Practice Guideline: Adult Sinusitis". To assist in implementing the guideline recommendations, this article summarizes the rationale, purpose, …

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Managing Low Carbon Emissions: Investigating the Role of Environmental Stringency Policies and Environmental Friendly Technological Innovations on Carbon Emissions: Empirical Insights from Group Seven Economies

Ayesha N. Khalid, Muhammad Waseem

For every country around the world, it is the foremost preference to mitigate the negative effects of environment and promote environmental sustainability without hindering economic growth. In doing so, government utilized environmental friendly policies that promote environmental related technological innovations. Strict and …

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Climate Change and Hypertension Risk: Investigating the Impact of Rising Ambient Temperatures on Blood Pressure Regulation and Cardiovascular Health

Kashan Ali, Yashal Sami, Alisha Arif Gauba, Ayesha N. Khalid et autres

Background: Climate change is increasingly recognized as a determinant of cardiovascular health, yet the impact of rising ambient temperatures and humidity on blood pressure regulation and hypertension risk remains underexplored in low- and middle-income urban populations. Objective: This study aimed to investigate …

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Current otolaryngologic applications of the novel self‐assembling RADA ‐16 peptide matrix

Kaitlynne Y. Pak, Dennis M. Tang, Satyan B. Sreenath, Christopher J. Ito et autres

A novel bioresorbable agent on the market is PuraGel® (3-D Matrix, Tokyo, Japan), a RADA-16 product that acts as a synthetic hemostatic and space-filling gel that promotes wound healing and prevents adhesion formation. Given the reported benefits of accelerated wound healing and …

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Comparison of intraperitoneal instillation of Bupivacaine vs Normal Saline for postoperative pain relief after laparoscopic cholecystectomy.

H. Jalal, Mudassar Murtaza, Noor Fatima, Ayesha N. Khalid

Objective: To evaluate whether local irrigation of Bupivacaine reduces post-operative pain after cholecystectomy. Study Design: Prospective, Randomized Controlled Trial. Setting: Department of Surgery, Government Teaching Hospital, Shahdara Lahore. Period: June 2020 to December 2022. Methods: For this study, 86 participants were divided …

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The Post-systolic shortening index, Mechanical Dispersion Index & Left Ventricular Global Longitudinal Strain: Associative prediction by incorporation of Ensemble Approach into Automated Machine Learning

Syed Mohammad Mehmood Abbas, Hashir Fahim Khawaja, Saiqa Zehra, Arshiya Fatima et autres

Automated machine learning is explored to predict post-systolic shortening index which is recognized as a ventricular ischemic marker.

Post-Spinal Cord Injury AIS Score improvement: An Automated Machine Learning analysis on the TRACK-SCI Cohort

Ali Danish Khan, Ali Haider Bangash, Saleha Yurf, Tauseef Ullah et autres

Automated machine learning is explored to develop predictive models for post-SCI AIS score improvement.

Prediction of outcomes of poor-grade subarachnoid haemorrhage : Exploration of Automated Machine Learning

Hashir Fahim Khawaja, Saleha Yurf, Saiqa Zehra, Ayesha N. Khalid et autres

Automated machine learning is explored to develop predictive and prognosticative models for GOS along with ICU mortality and 28-day mortality among poor-grade subarachnoid haemorrhage patients.

Prediction of Localised Failure and Overall Survival in meningioma patients : Incorporation of Stacked Ensemble approach into Automated Machine Learning

Ali Haider Bangash, Saleha Yurf, Tauseef Ullah, Iftikhar Bazai et autres

Automated machine learning is explored to predict localised failure and overall survival among patients suffering from meningioma.