Dilber Uzun Ozsahin

University of Sharjah and Near East University · Medical Diagnostic Imaging

In this paper, we examine the optical solitons for the nonlinear doubly dispersive equation and the modified Boussinesq equation, which explain the flow of shallow water in a small-amplitude surface system. We realize a variety of solitons using the Sardar sub-equation approach, including bright solitons, dark solitons, singular solitons, mixed bri...

Citation: Abobakr, M.; Uzun, B.; Uzun Ozsahin, D.; Sanlidag, T.; Arikan, A. Assessment of UTI Diagnostic Techniques Using the Fuzzy-PROMETHEE Model. Diagnostics 2023, 13, 3421. Abstract: Accurate diagnosis of urinary tract infections (UTIs) is important as early diagnosis increases treatment rates, reduces the risk of infection and disease spread,...

This study aims to explore the utilization of deep learning models, specifically the innovative Multi-Modal Contextual Fusion Convolutional Neural Network (MSHA), for the detection and diagnosis of Adrenocortical Carcinoma (ACC) using computed tomography (CT) images. The objective is to develop an accurate and reliable model that can assist in the...

The construction industry, being a significant contributor to greenhouse gas emissions, faces considerable attention and demand on account of the increasing global apprehension regarding climate change and its adverse impacts on the environment. Geopolymer shows itself as a viable and sustainable alternative to the Portland cement binder in civil i...

In this study, a numerical investigation was conducted on the thermal analysis of transverse fluid flow in a gradient porous medium with exponential boundary conditions. By solving a two-dimensional system of dimensionless equations using the Newton–Raphson method and Galerkin finite element technique, the authors studied the effects of cross-diffu...

In this paper, the Poiseuille flow of non-isothermal couple stress fluid of Reynolds model between two heated parallel inclined plates has been studied. The strongly nonlinear coupled ordinary differential equations have been investigated using the Asymptotic Homotopy Perturbation method (AHPM) and the Optimal Homotopy Asymptotic Method with DJ Pol...

The effectiveness and precision of disease diagnosis and treatment have increased, thanks to developments in clinical imaging over the past few decades. Science is developing and progressing steadily in imaging modalities, and effective outcomes are starting to show up as a result of the shorter scanning periods needed as well as the higher-resolut...

The construction industry, being a significant contributor to greenhouse gas emissions, facing considerable attention and demand on account of the increasing global apprehension regarding climate change and its adverse impacts on environments. Geopolymer shows itself as a viable and sustainable alternative to the Portland cement binder in civil inf...

The kind and quality of coarse aggregate have a direct impact on flexural strength (FS). As a result, this study used four different types of coarse aggregates, including those that depends on morphology, which contain coarse aggregates that can reach an extreme size of 20 mm and have the appearance of being flaky, angular, rounded, and irregular....

In this work, tank drainage phenomena for in-compressible and isothermal fluid having unsteady fluid flow for third order fluid is studied. Analytical solution of the proposed problem is obtained using perturbation method subject to proper boundary conditions. No-slip condition is used because of fluid will have zero velocity relative to a solid bo...

Natural products (NPs) have a variety of potential medicinal applications as drug or lead molecules for drug development. NPs are subset of small chemical molecules known as secondary metabolites that are produced by living organisms, including microorganisms. Artificial intelligence (AI) is the fourth industrial revolution that significantly reduc...

This study explored the first direct and inverse modelling of Carbon monoxide (CO) concentration by applying three different computational approaches namely, Least Square-boost (L-Boost), Hammerstein Weiner (HW), and Multi-variate regression (MVR) models for modelling CO using Sulphur dioxide (SO 2), Nitrogen dioxide (NO 2) and Ozone (O 3). Two fil...

The fundamental objective of this work is focused to achieve a class of advanced and impressive exact estimations to the Zoomeron equation and the time-fraction biological population model through contrivance by a couple of important and magnificent techniques, namely, the modified extended tanh-function method which depend on the balance theory an...

Skin lesion detection is crucial in diagnosing and managing dermatological conditions. In this study, we developed and demonstrated the potential applicability of a novel mixed-scale dense convolution, self-attention mechanism, hierarchical feature fusion, and attention-based contextual information technique (MSHA) model for skin lesion detection u...

Recently, the International Energy Agency (IEA) released a comprehensive roadmap for the global energy sector to achieve net-zero emission by 2050. Considering the sizeable share of (Sub-Sahara) Africa in the global population, the attainment of global energy sector net-zero emission is practically impossible without a commitment from African count...

Modern smart coating systems are increasingly exploiting functional materials which combine multiple features including rheology, electromagnetic properties and nanotechnological capabilities and provide a range of advantages in diverse operations including medical, energy and transport designs (aerospace, marine, automotive). The simulation of the...

Cancer is one of the major causes of death in the modern world, and the incidence varies considerably based on race, ethnicity, and region. Novel cancer treatments, such as surgery and immunotherapy, are ineffective and expensive. In this situation, ion channels responsible for cell migration have appeared to be the most promising targets for cance...

In our current article, we establish four new types of group for the optical soliton solutions to the three dimensional modified Zakharov–Kuznetsov equation’s new model. Four distinct and impressive techniques are used for this target, which are the extended simple equation method (ESEM), the extended direct algebraic method (EDAM), the G′G\documen...

It is essential to use highly antigenic epitope areas, since the development of peptide vaccines heavily relies on the precise design of epitope regions that can elicit a strong immune response. Choosing epitope regions experimentally for the production of the SARS-CoV-2 vaccine can be time-consuming, costly, and labor-intensive. Scientists have cr...

Breast cancer is a common cancer affecting women worldwide, and it progresses from breast tissue to other parts of the body through a process called metastasis. Albizia lebbeck is a valuable plant with medicinal properties due to some active biological macromolecules, and it’s cultivated in subtropical and tropical regions of the world. This study...

This study we handled (1+1)-dimensional modified-mixed KDV (mmKdV) equation for unique soliton solutions. For this purpose Firstly, auto-Bäcklund and Cole-Hopf transformations are created through the homogeneous balance method. Various soliton-like solutions are given by the trigonometric, hyperbolic, and exponential function waves and that leads t...

In a current article, two novel analytical approaches are compared for analytical analysis of wave like equations with variable coefficients, which describe the evolution of stochastic phenomena. One is the New Approximate Analytical Method which based on Caputo–Riemann operator with simple decomposition procedure. This new method directly provides...

This article includes the extended simple equation method (ESEM) and the Paul-Painlevé approach method (PPAM), two different methodologies, to offer a variety of novel analytical performances for the (1 + 1)-dimensional Van Der Waals (VDW) gas system. The variational iteration method (VIM), whose initial condition will be obtained from these soluti...

The accumulation of pathologically misfolded tau is a feature shared by a group of neurodegenerative disorders collectively referred to as tauopathies. Alzheimer’s disease (AD) is the most prevalent of these tauopathies. Immunohistochemical evaluation allows neuropathologists to visualize paired-helical filaments (PHFs)—tau pathological lesions, bu...

The numerical solution of the 2-D time-fractional Sobolev equations is approximated using an efficient local differential quadrature method, in this paper. The time-fractional part of the model equations uses the Liouville-Caputo fractional derivative technique, however, the recommended meshless method is employed for the space derivatives. Test pr...

The novel coronavirus (COVID-19), also known as SARS-CoV-2, is a highly contagious respiratory disease that first emerged in Wuhan, China in 2019 and has since become a global pandemic. The virus is spread through respiratory droplets produced when an infected person coughs or sneezes, and it can lead to a range of symptoms, from mild to severe. So...

Eligibility criteria: A cohort study (observational design) reporting DRLs in adult patients undergoing computed tomography (CT) for radiation therapy for the region head and neck or pelvis were included. The comprehensive literature searches for the relevant studies published between 2000 and 2021 were performed using PubMed, Scopus, CINHAL, Web o...

Phenolic chemicals have high toxicity level even at low concentrations, making them a priority contaminant. Conventional and innovative treatment strategies are examined in this review. As reported by the World Health Organization (WHO), around 144 million Olympic-sized swimming pools of wastewater are generated annually around the world. Approxima...

Breast cancer is a very common disease today. And early diagnosis is of great importance in order to prevent this disease. It is aimed to prevent cancer types by classification with artificial intelligence and machine learning algorithms to help with early diagnosis. The spectroscopy results of 106 individuals in this study were used. In this study...

The brain is an intrinsic and complicated component of human anatomy. It is a collection of connective tissues and nerve cells that regulate the principal actions of the entire body. Brain tumor cancer is a serious mortality factor and a highly intractable disease. Even though brain tumors are not considered a fundamental cause of cancer deaths wor...

Monkeypox is a zoonotic viral disease caused by the monkeypox virus. After its recent outbreak, it has become clear that a rapid, accurate, and reliable diagnosis may help reduce the risk of a future outbreak. The presence of skin lesions is one of the most prominent symptoms of the disease. However, this symptom is also peculiar to chickenpox. The...

Background: Skin cancer is among the most life-threatening health condition that the earth is having nowadays. This type of cancer affects most of the melanocytes; melanoma, but also some other body cells from various organs. Several therapeutic approaches are explained to patients for their treatment plan depending on their cancer stage. Some of t...

In contemporary research, high-dimensional data has become more popular in many scientific fields with the rapid advancement of technology in collecting and storing large datasets. As in any modeling process with high-dimensional data, it is very important to accurately identify a subset of the features and reduce the dimensionality in the Cox mode...

Cryptococcus neoformans is an opportunistic fungal pathogen with significant medical importance, especially in immunosuppressed patients. It is the causative agent of cryptococcosis. An estimated 220,000 annual cases of cryptococcal meningitis (CM) occur among people with HIV/AIDS globally, resulting in nearly 181,000 deaths. The gold standards for...

Diagnostic reference level (DRL) is an appropriate instrument toward promoting radiation doses optimisation in medical imaging. The goal of this research is developing DRL to optimise computed tomography (CT) doses in patient examination. Parameters were collected in CT facilities for common procedures such as head, chest, pelvic and cervical spine...

Several studies have demonstrated the value of artificial intelligence (AI) applications in breast cancer diagnosis. The systematic review of AI applications in breast cancer diagnosis includes several studies that compare breast cancer diagnosis and AI. However, they lack systematization, and each study appears to be conducted uniquely. The purpos...

Annually, millions of people die from kidney diseases, making it a serious public health concern. Patients with renal insufficiency have hemostatic defects that enhance their risk of thrombosis and bleeding. Evaluating the advantages and hazards of anticoagulant thromboprophylaxis is challenging. By using the fuzzy preference ranking organization m...

Right ventricular heart failure (RVHF) mostly occurs due to the failure of the left-side of the heart. RVHF is a serious disease that leads to swelling of the abdomen, ankles, liver, kidneys, and gastrointestinal (GI) tract. A total of 506 heart-failure subjects from the Faculty of Medicine, Cardiovascular Surgery Department, Ege University, Turkey...

Artificial intelligence (AI) has been shown to solve several issues affecting COVID-19 diagnosis. This systematic review research explores the impact of AI in early COVID-19 screening, detection, and diagnosis. A comprehensive survey of AI in the COVID-19 literature, mainly in the context of screening and diagnosis, was observed by applying the pre...

Acute appendicitis is one of the most common causes of abdominal pain in the emergency department and the most common surgical emergency reason for children younger than 15 years of age, which could be enormously dangerous when ruptured. The choice of radiological approach is very important for the diagnosis. In this way, unnecessary surgery is avo...

(1) Background: The purpose of this study is to review and highlight recent advances in diagnostic uses of artificial intelligence (AI) for cardiac diseases, in order to emphasize expected benefits to both patients and healthcare specialists; (2) Methods: We focused on four key search terms (Cardiac Disease, diagnosis, artificial intelligence, mach...

Antibody tests, widely used as a complementary approach to reverse transcriptase–polymerase chain reaction testing in identifying COVID-19 cases, are used to measure antibodies developed for COVID-19. This study aimed to evaluate the different parameters of the FDA-authorized SARS-CoV-2 IgM antibody tests and to rank them according to their perform...

Malaria is a significant health concern in many third-world countries, especially for pregnant women and young children. It accounted for about 229 million cases and 600,000 mortality globally in 2019. Hence, rapid and accurate detection is vital. This study is focused on achieving three goals. The first is to develop a deep learning framework capa...

The growing increase in groundwater (GW) salinization in the coastal aquifers has reached an alarming socio-economic menace in Saudi Arabia and various places globally due to several natural and anthropogenic activities. Hence, evaluating the GW salinization is paramount to safeguarding the water resources planning and management. This study presen...

Cancer is a disease caused by the uncontrolled division of abnormal cells in a part of the body leading to cell damage or death (Apoptosis). This could result in the death of the host carrier. Most death cases of cancer patients have been linked to the systematic administration of therapeutic agents (chemotherapy) and other conventional methods as...

The additive manufacturing technique is currently revolutionizing the healthcare industry. This technology utilizes modern approaches to develop advanced medical equipment and artificial body tissues. The 3D filament is regarded as one of the major components of the 3D printing technique. These filaments have peculiar characters to print different...

Spinal cord tumors are the abnormal mass of cells that grow, divide and multiply uncontrollably in the spinal cord. Treatment of spinal cord tumors depends on the type, the affected site, the level of complications, and the spread levels. The treatment of spinal cord tumors is not limited to conventional chemotherapy, radiotherapy, and surgery meth...

Photodetectors used in nuclear medical imaging such as single photon emission computed tomography (SPECT) and positron emission tomography (PET) are an important element of radiation detection systems. Selecting the photodetector depends on many physical criteria including quantum efficiency (QE) and gain. The aim of this study is to apply multi-cr...

On average, breast cancer kills one woman per minute. However, there are more reasons for optimism than ever before. When diagnosed early, patients with breast cancer have a better chance of survival. This study aims to employ a novel approach that combines artificial intelligence and a multi-criteria decision-making method for a more robust evalua...

Cancer is a disease with rare, diverse symptoms, causing abnormal cell growth in an uncontrolled way, leading to cell damage, apoptosis, and eventually death of the patient. is study uses the Fuzzy PROMETHEE technique to develop a new path for cancer treatment based on nanoparticles (NPs) applications, used in controlled anticancer drug delivery (d...

Education plays a significant role in transforming society because it has become a strategy for promoting sustainable development. Educational and research work can lead to changes in the behavior and lifestyles of society, and it is also relevant for the dissemination of knowledge. Eco-friendly architectural ideas combined with sustainability and...

The need for addressing the environmental issues related to the production of aggregates for use in construction purposes cannot be ignored especially considering the amount of aggregates needed particularly to produce asphaltic and cemented concrete to meet the requirements for infrastructure construction to accommodate societal demand. Life cycle...

Though pandemics and contagious diseases have been an impending danger to humans since antiquity, the COVID-19 pandemic revealed a near-complete lack of readiness to combat such incidents in terms of built urban environment design. Workplaces, which are vibrant centers for daily human activity globally, proved to be active hubs for transmitting COV...

Campuses playing a big role in the eco-system of the city since the university it’s the main place for students, scientists, teachers, and academicians. It’s important to show how to help the environment from the beginning and make it a basic rule for the future, something common and must have in our lives. The green building rating system such as...

Decision-making has been an important tool for decision-makers, policymakers, research scientists, government agencies, and parastatals. These have been made easy with the availability of powerful decision-making tools. The tools are easy to grasp and use; hence, they need no extensive training to master. Decision-making tools can carry out various...

Electronic blood pressure measurement device is a medical device used to measure blood pressure and is available in hospitals and healthcare centers. There are many companies manufacturing electronic pressure measurement devices. The process of evaluating and selecting an electronic pressure device is complex process. This study uses a multi-criter...

Heart failure is one major problem, among many public health threats, associated with high mortality and morbidity rates. Medical professionals and engineers have collaborated to invent different wearable monitoring devices to monitor patients when driving or, rather in the case of accidents, to control the moving vehicle by predicting the driver’s...

Paralysis is a disease that can affect some people and prevent them from achieving their daily tasks. Such a disease makes patients constantly seek help to carry out their daily routine. Hence, the aim of this study is to design wearable gloves to help the patients send a message to alert family members of the need for assistance using a buzzer. Th...

There is a general misconception that the use of mobile technology is minimally prevalent among the deaf. Contrary to this view, mobile phones are as much a part of the daily lives of the deaf as they are for hearing individuals. There have been several studies concerned with the investigation of the need and the level of application usage by deaf...