Project Management: An Analysis of Causes and Effects of Rework on Construction Project by Alzanati, AbdelRahim

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High-sensitive detection and quantitation of thyroid-stimulating hormone (TSH) from capillary/fingerstick and venepuncture whole-blood using fluorescence-based rapid lateral flow i... by Samar, Shurbaji

“…A subgroup analysis of abnormal TSH samples revealed a strong and significant correlation between the reference, Finecare™ whole-blood (r = 0.692; p = 0.0015), and fingerstick test Finecare™ (r = 0.66; p = 0.0025). …”
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Applying value-based strategies to accelerate access to novel cancer medications: guidance from the Oncology Health Economics Expert Panel in Qatar (Q-OHEP) by Anas Hamad (9545771)

“…<h3>Background</h3><p dir="ltr">In line with global trends, cancer incidence and mortality may have decreased for specific types of cancer in Qatar. However, the cancer-related burden on patients, healthcare systems, and the economy is expected to expand; thus, cancer remains a significant public healthcare issue in Qatar. …”

Assessment of treatment burden and its impact on quality of life in dialysis-dependent and pre-dialysis chronic kidney disease patients by Asmaa Al-mansouri (16931739)

“…<h3>Background</h3><p dir="ltr">The management of chronic kidney disease (CKD) and its complications places a significant burden on patients, resulting in impairment of their health-related quality of life (HR-QOL). …”

Investigating High School Science Teachers’ Perceptions and Practices of Science Virtual Laboratories in American Schools in Ajman, UAE by ABUALHAIJA, INAAM MOHAMMAD

“…Besides teachers stated that they did not receive appropriate training on how to use and conduct virtual laboratories. …”
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High-sensitive detection and quantitation of thyroid-stimulating hormone (TSH) from capillary/fingerstick and venepuncture whole-blood using fluorescence-based rapid lateral flow i... by Samar Shurbaji (9938696)

“…A subgroup analysis of abnormal TSH samples revealed a strong and significant correlation between the reference, Finecare™ whole-blood (r = 0.692; p = 0.0015), and fingerstick test Finecare™ (r = 0.66; p = 0.0025). …”

R²S100K: Road-Region Segmentation Dataset for Semi-supervised Autonomous Driving in the Wild by Muhammad Atif Butt (10849980)

“…Alongside, we present an Efficient Data Sampling based self-training framework to improve learning by leveraging unlabeled data. …”

Operational neural networks by Serkan Kiranyaz (3762058)

“…However, their learning performance varies significantly depending on the function or the solution space that they attempt to approximate. …”

Edge-Optimized Deep Learning Architectures for Classification of Agricultural Insects with Mobile Deployment by Akhtar, Muhammad Hannan

“…The best quantized model, produced through Post-Training Quantization, was able to maintain a classification accuracy of 77.8% while significantly reducing the model size from 33 MB to 9.6 MB. …”
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The Sustainability Inclusion in Project Contracts and its Impact on the Performance of UAE Public Sector Projects by ALAJAMI, SAEED

“…Worker training is an effective strategy for improving sustainability practices with the use of contracts. …”
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Effectiveness of Positron Emission Tomography for Predicting Chemotherapy Response in Colorectal Cancer Liver Metastases by Glazer, Evan

“…Main Outcome Measures To determine the accuracy of PET scans to detect residual viable colorectal cancer liver metastases after a significant response to systemic chemotherapy. …”
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Female dental students’ perceptions of patient safety culture: a cross sectional study at a middle eastern setting by Al-Surimi, Khaled

“…Participants had fulfilled at least one year of clinical training. Sample characteristics included the specialty and years of clinical training. …”
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Precision biomarker discovery in hypertension through explainable AI and proteomics by Karthik Sekaran (16845959)

“…<p dir="ltr">Hypertension is a major global health burden and a leading driver of cardiovascular disease, yet reliable blood-based biomarkers for early disease are still limited. …”

Explainable phishing website detection for secure and sustainable cyber infrastructure by Tanzila Kehkashan (20748842)

“…Traditional methods might not fully capture the significance of individual features. To overcome this issue, this research applies feature selection techniques, specifically shapley additive explanations, with each model based primarily on the URL to improve the detection process. …”

Deep learning-driven segmentation of ischemic stroke lesions using multi-channel MRI by Ashiqur Rahman (3969347)

“…These advancements significantly enhance diagnostic precision and treatment planning for ischemic stroke, providing valuable support for clinical decision-making.…”

Binary-NeRV: Hybrid-Precision Weights Binarization for Efficient Neural Video Representation by Shanableh, Tamer

“…In this work, we propose Binary-NeRV, a hybrid-precision extension of NeRV that integrates XNOR-based binary convolutions into the decoding pipeline to significantly reduce model size, bitrate, and computational complexity while reasonably preserving reconstruction fidelity. …”
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Accurate prediction of dynamic viscosity of polyalpha-olefin boron nitride nanofluids using machine learning by Ahmad K. Sleiti (15955149)

“…The elimination of the shear rate parameter from the input layer improved the accuracy of the ANN model to an absolute relative error of less than 1.89% over the full temperature range (−19.7 °C–70 °C) compared to 11% in the traditional correlation-based model. These results suggest that the use of machine learning models can significantly improve the accuracy of predicting the viscosity of PAO-hBN nanofluids. …”

The evolving role of pharmacists in depression care: a scoping review by Ala’ Shalash (22045937)

“…Barriers to effective depression-related care included time constraints and training needs.</p><h3>Conclusion</h3><p dir="ltr">This scoping review supports the expanding role of pharmacists in depression management. …”

Relationship Between the Critical Power Test and a 20-min Functional Threshold Power Test in Cycling by Bettina Karsten (2576641)

“…Differences between means were examined using magnitude-based inferences and a paired-samples t-test. Effect sizes are reported as Cohen’s d. …”

Deep and transfer learning for building occupancy detection: A review and comparative analysis by Aya Nabil Sayed (17317006)

“…Typically, analyzing big occupancy data gathered by BIoT networks helps significantly identify the causes of wasted energy and recommend corrective actions. …”