Liver resection for liver metastases from nondigestive endocrine cancer by Andreou, Andreas

“…After median follow-up of 20 months (range, 1–144), the 5-year overall and recurrence-free survival rates were 58% and 37%, respectively. …”
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Long non-coding RNA MALAT1 promotes steatosis in HepG2 cells by modulating target gene expression in presence of Exendin-4 by Olfa Khalifa (10914452)

“…Then starved the cells for 6h in DMEM containing 1% fatty-acid-free bovine serum albumin. Following the starvation, a 16h incubation in DMEM containing increasing concentrations of OA (0–500 µM) at 37 °C was performed, and steatosis was quantified by triglycerides quantification, Bodipy staining, and quantification of the expression of perilipin genes family. …”

Sense and Learn: Recent Advances in Wearable Sensing and Machine Learning for Blood Glucose Monitoring and Trend-Detection by Ahmad Yaser Alhaddad (7017434)

“…Convolutional and recurrent neural networks, support vector machines, and decision trees are examples of such machine learning algorithms. …”

FPGA-Based Network Traffic Classification Using Machine Learning by Elnawawy, Mohammed

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LightEnsemble-Guard: An Optimized Ensemble Learning Framework for Securing Resource-Constrained IoT Systems by Muhammad Usama Tanveer (22225360)

“…<p dir="ltr">The rapid proliferation of real-time Internet of Things (IoT) devices has increased the need for efficient and accurate security mechanisms. …”

Mining Student Information System Records to Predict Students’ Academic Performance by ABU SAA, AMJED TARIQ MOHAMMAD

“…An increasing interest has arisen during the past decade to identify the most important factors influencing students’ performance in higher education, especially by using predictive data mining techniques. …”
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Physical and chemical properties of black carbon and organic matter from different combustion and photochemical sources using aerodynamic aerosol classification by Dawei Hu (2186113)

“…The dynamic shape factor (χ) of BC particles and material density (ρ_m) of organic aerosols was investigated by coupling a charging-free Aerodynamic Aerosol Classifier (AAC) with a Centrifugal Particle Mass Analyzer (CPMA) and a Scanning Mobility Particle Sizer (SMPS). …”

A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

“…<p dir="ltr">Due to the rapid growth in IT technology, digital data have increased availability, creating novel security threats that need immediate attention. …”

Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes by Muhammad Mohsin Khan (22150360)

“…By increasing accuracy across unbalanced classes and emphasizing its potential for practical use, the multi-stage technique presents a promising solution for predicting the severity of SAH. …”

A Novel Versatile Framework for Enabling Early Detection of Evolving Network-based Cyberattacks by THOMAS, RAJESH

“…Network-based cyber-attacks have been increasing in scale, frequency and sophistication, posing significant threats to nation states and organizations worldwide. …”
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An Evaluation of Short-Term Effects of Different Soil Management Systems on Soil Physical, Structural and Hydraulic Properties and an Estimation and Optimization of Water Infiltrat... by Merheb, Caroline

“…(3) what is the best soil management system to be implemented in loamy sand agricultural land that is cultivated by apple trees and legumes and vegetables in-between rows to carry water to depths of 40cm faster with less water consumption while maintaining the subsurface moisture for longer periods? …”
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