Shazia Riaz

Distinguishing Human-Generated and AI-Generated Academic Writing: A Machine Learning Benchmark Study

Ali Raza, Mohib Ullah, Rafiullah Khan, Adeem Ali Anwar et autres

The rapid adoption of large language models (LLMs) such as ChatGPT has raised critical questions about authorship, originality, and integrity in academic writing. Unlike conventional plagiarism testing tools, AI-generated or AI-rephrased text can preserve the original meaning and context of the text …

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Deep Learning Based Underwater Image Detection and Processing for Oceanography

Anila Saghir, Bilal Ahmed Bhatti, Muzammil Ahmed Khan, Sheikh Junaid Yawar et autres

Recently underwater exploration is the growing research area. It plays a significant role in marine exploration and environmental monitoring for the sustainable development. This research interest results in rapid progress in the field of underwater image processing and analysis. However, images captured …

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Uncovering dual molecular diagnoses in families with complex phenotypes through structural and clinical studies of novel COL4A6 variants

Daniel Owrang, Abolfazl Rad, Constantin Cretu, Sheng‐Jia Lin et autres

BACKGROUND: The relationship between observed clinical phenotypes and underlying genotypes is blended or skewed in multiple molecular diagnoses, complicating a comprehensive molecular genetic diagnosis. AIM: We report two families with dual diagnoses, using the deafness-associated gene, COL4A6, to exemplify its contribution to …

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LMIC-01. Real-world experience in dealing with children with suspected central nervous system (CNS) tumors at the Children’s Hospital Lahore, Pakistan

Rahat Ul Ain, Laeeq Ur Rehman, Rabia Aqeel Qaiser, Mahwish Hussain et autres

Abstract The objectives of this study were to document the trajectory of children with CNS tumors at a tertiary-care, public-sector hospital in Pakistan. This prospective, analytic, cohort study recorded all new cases of suspected CNS tumors (birth to 16 years) who presented …

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Incidence of Fungal Pneumonia in Children with Acute Myeloid Leukemia Taking Oral Antifungal Prophylaxis

Luqman Iqbal, Shazia Riaz, Sana Gull, Aimen Gull et autres

Acute leukemia is common in children, with acute lymphoblastic leukemia (ALL) making up 80-85% and acute myeloid leukemia (AML) 10-15%. Objective: To determine the incidence of fungal pneumonia in children with acute myeloid leukemia taking oral antifungal prophylaxis. Methods: In this single-center …

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Caregiver-Reported Reasons and Outcomes of Treatment Default among Pediatric Oncology Patients at a Tertiary Care Hospital in Pakistan

Aimen Gull, Rahat Ul Ain, Mahwish Faizan, Shazia Riaz et autres

Despite the availability of free care, many children in Pakistan fail to complete cancer therapy, leading to poor outcomes and increased mortality. Objective: To determine reasons and outcomes of pediatric cancer patients defaulting treatment at tertiary care hospital in Pakistan. Methods: This …

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Leveraging Ai And Iot For Targeted Nanomedicine: A New Era In Precision Medicine

Seema Samin, Nabeel Ahmad Khan, Sudhair Abbas Bangash, Shazia Riaz

Background: The combination of Artificial Intelligence (AI) and Internet of Things (IoT) technologies in nanomedicine allows the Anglo to transform precision medicine through better treatment, patient details, and healthcare systems. However, it is still questionable as to how exactly the application of …

High-resolution RGB image dataset for wheat seed varietal identification and purity assessment

Sadaf Safder, Shazia Riaz, Saqib Ali

Achieving maximum wheat yield becomes challenging when no optimal seed purity varietal identification protocol for a particular region is available. Recognizing and identifying seed varieties is still performed manually through direct visual inspection, which is labor-intensive, time-consuming, and prone to errors. Therefore, …

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Modified Hematological Sepsis Score in the Early Diagnosis of Neonatal Sepsis

Maimoona Saeed, Varda Tuz Zahra, Hina Khan, Rabiah Asghar et autres

Objective: To compare the diagnostic accuracy of modified hematological sepsis score (MHSS) with hematological sepsis score (HSS) in early diagnosis of neonatal sepsis taking blood culture as gold standard. Methodology: This cross-sectional validation study was done at the Neonatology Department, Children Hospital …

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Ai-Powered Predictive Analytics In General Surgery: Improving Patient Safety And Surgical Outcomes

Sahil Kumar, Syed Ali Mehsam, Tariq Rafique, Muskan Muskan et autres

Background: The role of AI-based predictive analytics in general surgery. The use of artificial intelligence (AI) tools in surgical environments is influenced by several factors including perceived usefulness, usability, and trust between professionals. This study focused on the core factors of acceptance …

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Detecting malicious code variants using convolutional neural network (CNN) with transfer learning

Nazish Younas, Shazia Riaz, Saqib Ali, Rafiullah Khan et autres

Malware presents a significant threat to computer networks and devices that lack robust defense mechanisms, despite the widespread use of anti-malware solutions. The rapid growth of the Internet has led to an increase in malicious code attacks, making them one of the …

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User Perceptions of Vocabulary Learning Features in Duolingo and Babbel: A Comparative Analysis of Effectiveness and User Satisfaction

Shazia Riaz, Durr-e- Nayab

This study conducts a comparative analysis of two prominent mobile applications for language learning, Duolingo and Babbel, focusing on their vocabulary acquisition features through the lenses of Spaced Repetition Theory (SRT) and Cognitive Load Theory (CLT). Utilizing a content analysis methodology, user …

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