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Erişime Açık

Evaluation of Supportive Care Needs and Coping Attitudes of Breast Cancer Patients According to Neuropathic Pain Status: A Case Control Study

Tuba Eryiğit

OBJECTIVE This study was conducted to evaluate the supportive care needs and coping attitudes of breast cancer patients according to their neuropathic pain status. METHODS This case-control study design was conducted with 212 patients who were being treated in the daily chemotherapy unit of a hospital in Istanbul, who agreed to participate in the study and met the inclusion criteria. The S-LANSS pain scale was used to determine the neuropathic pain status of the patients. A Descriptive Information Form, Supportive Care Needs Scale, and Coping Attitudes Scale were used to collect the data. RESU ...Daha fazlası

Makale 2024 Turk Onkoloji Dergisi-Turkish Journal Of Oncology 6 Görüntülenme
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Distance-Based Decision Making, Consensus Building, and Preference Aggregation Systems: A Note on the Scale Constraints

İbrahim Gürler | Bora Gündüzyeli | Ozan Çakır

Distance metrics and their extensions are widely accepted tools in supporting distancebased decision making, consensus building, and preference aggregation systems. For several models of this nature, it may be necessary to elucidate the problem output in the original input domain. When a particular parameter of interest is desired to be produced in this original domain, i.e., the scale, the decision makers simply resort to constraints that function in parallel with this goal. However, there exist some cases where such a membership is guaranteed by the mathematical properties of the distance ...Daha fazlası

Makale 2022 Systems10 ( 4 ) 150 Görüntülenme
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Evaluation of Multi-Objective Optimization Algorithms for NMR Chemical Shift Assignment

Sima Etaner Uyar

An automated NMR chemical shift assignment algorithm was developed using multi-objective optimization techniques. The problem is modeled as a combinatorial optimization problem and its objective parameters are defined separately in different score functions. Some of the heuristic approaches of evolutionary optimization are employed in this problem model. Both, a conventional genetic algorithm and multi-objective methods, i.e., the non-dominated sorting genetic algorithms II and III (NSGA2 and NSGA3), are applied to the problem. The multi-objective approaches consider each objective parameter s ...Daha fazlası

Makale 2021 Molecules26 ( 12 ) 81 Görüntülenme
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Some New Results on Bicomplex Bernstein Polynomials

Seda Karateke

The aim of this work is to consider bicomplex Bernstein polynomials attached to analytic functions on a compact C2-disk and to present some approximation properties extending known approximation results for the complex Bernstein polynomials. Furthermore, we obtain and present quantitative estimate inequalities and the Voronovskaja-type result for analytic functions by bicomplex Bernstein polynomials.

Makale 2021 Mathematıcs9 ( 21 ) 149 Görüntülenme
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PV Cells and Modules Parameter Estimation Using Coati Optimization Algorithm

Cevat Rahebi

In recent times, there have been notable advancements in solar energy and other renewable sources, underscoring their vital contribution to environmental conservation. Solar cells play a crucial role in converting sunlight into electricity, providing a sustainable energy alternative. Despite their significance, effectively optimizing photovoltaic system parameters remains a challenge. To tackle this issue, this study introduces a new optimization approach based on the coati optimization algorithm (COA), which integrates opposition-based learning and chaos theory. Unlike existing methods, the C ...Daha fazlası

Makale 2024 energies17 ( 7 ) 17 Görüntülenme
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Existence of Solutions: Investigating Fredholm Integral Equations via a Fixed-Point Theorem

Merve Temizer Ersoy

Integral equations, which are defined as "the equation containing an unknown function under the integral sign", have many applications of real-world problems. The second type of Fredholm integral equations is generally used in radiation transfer theory, kinetic theory of gases, and neutron transfer theory. A special case of these equations, known as the quadratic Chandrasekhar integral equation, given by x(s)=1+lambda x(s)integral(1)(0)s/t+s x(t)dt, can be very often encountered in many applications, where x is the function to be determined, lambda is a parameter, and t,s is an element of[0,1] ...Daha fazlası

Makale 2024 AXIOMS13 ( 4 ) 4 Görüntülenme
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Exploring Land Use/Land Cover Dynamics and Statistical Assessment of Various Indicators

Semih Sami Akay

Current information on urban land use and surface cover is derived from the land classification of cities, facilitating accurate future urban planning. Key insights are driven by multi-year remote sensing data. These data, when analyzed, produce high-resolution changes on the Earth’s surface. In this context, publicly accessible Urban Atlas data are employed for the high-precision and high-resolution classification and monitoring of terrestrial surfaces. These datasets, which are useful for preserving natural resources, guiding spatial developments, and mitigating pollution, are crucial for mo ...Daha fazlası

Makale 2024 Applied Sciences14 ( 6 ) 14 Görüntülenme
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Colon Disease Diagnosis with Convolutional Neural Network and Grasshopper Optimization Algorithm

Cevat Rahebi

This paper presents a robust colon cancer diagnosis method based on the feature selection method. The proposed method for colon disease diagnosis can be divided into three steps. In the first step, the images’ features were extracted based on the convolutional neural network. Squeezenet, Resnet-50, AlexNet, and GoogleNet were used for the convolutional neural network. The extracted features are huge, and the number of features cannot be appropriate for training the system. For this reason, the metaheuristic method is used in the second step to reduce the number of features. This research uses ...Daha fazlası

Makale 2023 DIAGNOSTICS 13 ( 10 ) , pp. 1 - 14 59 Görüntülenme
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Additional Value of Using Satellite-Based Soil Moisture and Two Sources of Groundwater Data for Hydrological Model Calibration

Mehmet Cuneyd Demirel | Alparslan Ozen | Selen Orta | Emir Toker | Hatice Kubra Demir | Omer Ekmekcioglu | Sinan Erucar | Ahmet Bilal Sag | Omer Sari | Hayrettin Hanci | Hilal Erdem | Mehmet Melih Kosucu | Eyyup Ensar Basakin | Muhammet Bahattin Avcuoglu | Omer Vanli

Although the complexity of physically-based models continues to increase, they still need to be calibrated. In recent years, there has been an increasing interest in using new satellite technologies and products with high resolution in model evaluations and decision-making. The aim of this study is to investigate the value of different remote sensing products and groundwater level measurements in the temporal calibration of a well-known hydrologic model i.e., Hydrologiska Bryans Vattenbalansavdelning (HBV). This has rarely been done for conceptual models, as satellite data are often used in th ...Daha fazlası

Makale 2019 Water11 ( 10 ) 3216 Görüntülenme
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Colon Cancer Disease Diagnosis Based on Convolutional Neural Network and Fishier Mantis Optimizer

Cevat Rahebi

Colon cancer is a prevalent and potentially fatal disease that demands early and accurate diagnosis for effective treatment. Traditional diagnostic approaches for colon cancer often face limitations in accuracy and efficiency, leading to challenges in early detection and treatment. In response to these challenges, this paper introduces an innovative method that leverages artificial intelligence, specifically convolutional neural network (CNN) and Fishier Mantis Optimizer, for the automated detection of colon cancer. The utilization of deep learning techniques, specifically CNN, enables the ext ...Daha fazlası

Makale 2024 Diagnostics14 ( 13 ) 8 Görüntülenme
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