Browsing Faculty Contributions by Title
Now showing items 3008-3027 of 16862
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Circulating exosomal immuno-oncological checkpoints and cytokines are potential biomarkers to monitor tumor response to anti-PD-1/PD-L1 therapy in non-small cell lung cancer patients
( Frontiers Media S.A. , 2023 , Article)Immune checkpoint inhibitors (ICIs) including anti-PD-1 and anti-PD-L1 antibodies, have significantly changed the treatment outcomes of NSCLC patients with better overall survival. However, 15-40% of the patients still ... -
Circulating microparticles as biomarkers of stroke: A focus on the value of endothelial- and platelet-derived microparticles.
( Wiley , 2019 , Article)Stroke is one of the leading causes of mortality and disability worldwide. Numerous pathophysiological mechanisms involving blood vessels, coagulation and inflammation contribute to the vascular occlusion. Perturbations ... -
Circulating microvesicles and exosomes in small cell lung cancer by quantitative proteomics
( BMC , 2022 , Article)Background: Early detection of small cell lung cancer (SCLC) crucially demands highly reliable markers. Growing evidence suggests that extracellular vesicles carry tumor cell-specific cargo suitable as protein markers in ... -
Circulating miRNAs in HER2-Positive and Triple Negative Breast Cancers: Potential Biomarkers and Therapeutic Targets.
( MDPI , 2020 , Article)Breast cancer is one of the most prevalent diseases among women worldwide and is highly associated with cancer-related mortality. Of the four major molecular subtypes, HER2-positive and triple-negative breast cancer (TNBC) ... -
Cisplatin based therapy: The role of the mitogen activated protein kinase signaling pathway
( BioMed Central Ltd. , 2018 , Article Review)Cisplatin is a widely used chemotherapeutic agent for treatment of various cancers. However, treatment with cisplatin is associated with drug resistance and several adverse side effects such as nephrotoxicity, reduced ... -
Cisplatin encapsulated nanoparticles from polymer blends for anti-cancer drug delivery
( Royal Society of Chemistry , 2022 , Article)Developing novel nanocarriers for anticancer drug delivery has become a ‘promising niche’. The toxicity of the carrier and its efficacy in treatment modalities have become cardinal points as they can impede the progress ... -
Cisplatin-induced ototoxicity: A novel approach to an ancient problem
( Lippincott, Williams & Wilkins , 2023 , Article)With the scarcity of pharmacological otoprotective agents against cisplatin-induced ototoxicity (CIO), researchers find themselves compelled to look at and navigate all possible strategies to identify ways to prevent CIO. ... -
Citizen use of e-government services websites: A proposed e-government adoption recommendation model (EGARM)
( IGI Global , 2021 , Article)This study explored the factors influencing citizens’ adoption of e-government services through the open government/data concept by proposing and validating an e-government adoption recommendation model (EGARM). The data ... -
Citizens' continuous use of eGovernment services: The role of self-efficacy, outcome expectations and satisfaction
( Elsevier , 2020 , Article)The continuous use of eGovernment services is a de facto for its prosperity and success. A generalised sense of citizens' self-efficacy, expectations, and satisfaction offer opportunities for governments to further retain ... -
Class-time utilization in business schools in Tunisia
( Elsevier Ltd , 2016 , Article)Tunisian Universities, like many other universities in the developing countries, do not adopt any textbooks and rather rely on classrooms as the main learning resource for the students. This study is concerned with observing ... -
Classification and trends in knowledge research relevance and context for smart farm technology development
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)With the climate change paradigm, farmers are facing changes in the environment all the time like drought, higher temperature, heavy raining, and the shift of season. Smart farm is a method for helping farmers to plant ... -
Classification ensemble to improve medical named entity recognition
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)An accurate Named Entity Recognition (NER) is important for knowledge discovery in text mining. This paper proposes an ensemble machine learning approach to recognise Named Entities (NEs) from unstructured and informal ... -
Classification for Imperfect EEG Epileptic Seizure in IoT applications: A Comparative Study
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Epileptic seizure detection could be detected through investigating the electroencephalography (EEG), which is deemed to be very important for IoT wearable sensor-based health systems. EEG-based classification is crucial ... -
Classification of corneal nerve images using machine learning techniques
( Penerbit UTHM , 2019 , Article)Recent research shows that small nerve fiber damage is an early detector of neuropathy. These small nerve fibers are present in the human cornea and can be visualized through the use of a corneal confocal microscope. A ... -
Classification of EEG signals for detection of epileptic seizure activities based on LBP descriptor of time-frequency images
( IEEE Computer Society , 2015 , Conference Paper)This paper presents novel time-frequency (t-f) feature extraction approach for the classification of EEG signals for Epileptic seizure activities detection. The proposed features are based on Local Binary Patterns (LBP) ... -
Classification of fetal movement accelerometry through time-frequency features
( IEEE , 2014 , Conference Paper)This paper presents a time-frequency approach for fetal movement monitoring which is based on classification of accelerometry signals collected from pregnant women's abdomen. Features extracted from time-frequency distribution ... -
Classification of polarimetric SAR images using compact convolutional neural networks
( Bellwether Publishing, Ltd. , 2021 , Article)Classification of polarimetric synthetic aperture radar (PolSAR) images is an active research area with a major role in environmental applications. The traditional Machine Learning (ML) methods proposed in this domain ... -
Classification of SAR Images Using Compact Convolutional Neural Networks
( Springer , 2022 , Book chapter)Classification of SAR images has been an interesting task considering its major role in environmental and natural research areas. Existing studies proposed for Land use/land cover (LU/LC) classification using SAR data can ... -
Classification of the Lie and Noether point symmetries for the Wave and the Klein–Gordon equations in pp-wave spacetimes
( Elsevier B.V. , 2018 , Article)A complete classification of the Lie and Noether point symmetries for the Klein–Gordon and the wave equation in pp-wave spacetimes is obtained. The classification analysis is carried out by reducing the problem of the ... -
Classification tree analysis of factors affecting parking choices in Qatar
( Elsevier Ltd , 2015 , Article)Qatar has experienced a significant population growth in the past decade. The growth has been accompanied by an increase in automobile ownership rates leading to parking problems especially in the capital city of Doha. The ...