Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14365/3

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Citation - Scopus: 318
1-D Convolutional Neural Networks for Signal Processing Applications
(Institute of Electrical and Electronics Engineers Inc., 2019) Kiranyaz, Serkan; İnce, Türker; Abdeljaber, O.; Avci, O.; Gabbouj, M.
1D Convolutional Neural Networks (CNNs) have recently become the state-of-the-art technique for crucial signal processing applications such as patient-specific ECG classification, structural health monitoring, anomaly detection in power electronics circuitry and motor-fault detection. This is an expected outcome as there are numerous advantages of using an adaptive and compact 1D CNN instead of a conventional (2D) deep counterparts. First of all, compact 1D CNNs can be efficiently trained with a limited dataset of 1D signals while the 2D deep CNNs, besides requiring 1D to 2D data transformation, usually need datasets with massive size, e.g., in the »Big Data» scale in order to prevent the well-known »overfitting» problem. 1D CNNs can directly be applied to the raw signal (e.g., current, voltage, vibration, etc.) without requiring any pre- or post-processing such as feature extraction, selection, dimension reduction, denoising, etc. Furthermore, due to the simple and compact configuration of such adaptive 1D CNNs that perform only linear 1D convolutions (scalar multiplications and additions), a real-time and low-cost hardware implementation is feasible. This paper reviews the major signal processing applications of compact 1D CNNs with a brief theoretical background. We will present their state-of-the-art performances and conclude with focusing on some major properties. Keywords - 1-D CNNs, Biomedical Signal Processing, SHM. © 2019 IEEE.
Citation - WoS: 1893
Citation - Scopus: 2230
1d Convolutional Neural Networks and Applications: a Survey
(Academic Press Ltd- Elsevier Science Ltd, 2021) Kiranyaz, Serkan; Avcı, Onur; Abdeljaber, Osama; İnce, Türker; Gabbouj, Moncef; Inman, Daniel J.
During the last decade, Convolutional Neural Networks (CNNs) have become the de facto standard for various Computer Vision and Machine Learning operations. CNNs are feed-forward Artificial Neural Networks (ANNs) with alternating convolutional and subsampling layers. Deep 2D CNNs with many hidden layers and millions of parameters have the ability to learn complex objects and patterns providing that they can be trained on a massive size visual database with ground-truth labels. With a proper training, this unique ability makes them the primary tool for various engineering applications for 2D signals such as images and video frames. Yet, this may not be a viable option in numerous applications over 1D signals especially when the training data is scarce or application specific. To address this issue, 1D CNNs have recently been proposed and immediately achieved the state-of-the-art performance levels in several applications such as personalized biomedical data classification and early diagnosis, structural health monitoring, anomaly detection and identification in power electronics and electrical motor fault detection. Another major advantage is that a real-time and low-cost hardware implementation is feasible due to the simple and compact configuration of 1D CNNs that perform only 1D convolutions (scalar multiplications and additions). This paper presents a comprehensive review of the general architecture and principals of 1D CNNs along with their major engineering applications, especially focused on the recent progress in this field. Their state-of-the-art performance is highlighted concluding with their unique properties. The benchmark datasets and the principal 1D CNN software used in those applications are also publicly shared in a dedicated website. While there has not been a paper on the review of 1D CNNs and its applications in the literature, this paper fulfills this gap. (C) 2020 The Author(s). Published by Elsevier Ltd.
Citation - WoS: 1
Citation - Scopus: 1
25-Hydroxyvitamin Levels in Sjögren’s Syndrome: Is It the Right Time to Dismiss the Case or Not
(Walter de Gruyter GmbH, 2024) Sımsır, Ilgın Yıldırım; Tanigor, Goksel; Karabulut, Gonca; Barutcuoglu, Burcu; Yılmaz, Zevcet
Objectives: This study aimed to investigate whether patients with primary Sjögren syndrome (SjS) have different levels of 25 OH-D3 (vitamin D) when compared to healthy populations and whether differences in 25 OH-D3 correlated with disease activity or markers. Methods: Eighty-eight female patients with SjS and 3,338 age-matched healthy female controls were included in this study. 25 OH-D3 levels were compared with healthy controls. Then the patients were stratified according to their 25 OH-D3 levels, either insufficient/deficient or normal (<50 nmol/L or ≥50 nmol/L). The disease activity was evaluated using The EULAR SjS disease activity index (ESSDAI) and its components. Correlation analyses were also performed for a possible correlation with disease characteristics and markers of activity. Results: No differences in 25 OH-D3 levels were found between SjS and healthy populations (p>0.05). No correla- tions were found between patient characteristics or labo- ratory values (p>0.05). Conclusions: This study did not find a link between disease characteristics and disease activity and 25 OH-D3 levels. Prospective studies with more patients should be conducted to reach a conclusion.
Citation - WoS: 1
Citation - Scopus: 2
2d Model of a Biomass Single Particle Pyrolysis-Analysis of the Influence of Fiber Orientation on the Thermal Decomposition Process
(Mdpi, 2025) Hercel, Paulina; Orhon, Atahan; Jozwik, Michal; Kardas, Dariusz
Understanding the influence of heat transfer on the pyrolysis process is crucial for optimizing industrial biofuel production processes. While numerous scientific studies focus on experimental investigations of pyrolysis using laboratory-scale devices, many neglect the essential role of thermal energy in initiating and controlling thermal decomposition processes. This study presents a transient two-dimensional numerical model of biomass single-particle pyrolysis, which includes the energy balance, mass conservation equations and pyrolysis gas pressure and velocity equations. The model employs explicit numerical methods to manage the high computational demands of 2D transient simulations, but is successfully validated with the use of experimental data found in the literature. The model reflects the heterogeneous structure of wood by using different thermal conductivity coefficients depending on the wooden fibers' orientation. The results demonstrate the impact of fiber orientation on the heat transfer and thermal decomposition processes. The anisotropic properties of wood led to varied temperature fields and pyrolysis decomposition stages, aligning well with experimental data, thus validating the model's accuracy. The proposed approach can provide a better understanding and lead to improvement in biofuel production processes, enabling more efficient and controlled conversion of biomass into fuel. By optimizing the pyrolysis process, it contributes to the development of sustainable energy preservation and regeneration methods, supporting a shift towards more sustainable fuel production patterns using renewable biomass resources like wood.
Citation - WoS: 6
Citation - Scopus: 7
2db: a Proteomics Database for Storage, Analysis, Presentation, and Retrieval of Information From Mass Spectrometric Experiments
(Biomed Central Ltd, 2008) Allmer, Jens; Kuhlgert, Sebastian; Hippler, Michael
Background: The amount of information stemming from proteomics experiments involving (multi dimensional) separation techniques, mass spectrometric analysis, and computational analysis is ever-increasing. Data from such an experimental workflow needs to be captured, related and analyzed. Biological experiments within this scope produce heterogenic data ranging from pictures of one or two-dimensional protein maps and spectra recorded by tandem mass spectrometry to text-based identifications made by algorithms which analyze these spectra. Additionally, peptide and corresponding protein information needs to be displayed. Results: In order to handle the large amount of data from computational processing of mass spectrometric experiments, automatic import scripts are available and the necessity for manual input to the database has been minimized. Information is in a generic format which abstracts from specific software tools typically used in such an experimental workflow. The software is therefore capable of storing and cross analysing results from many algorithms. A novel feature and a focus of this database is to facilitate protein identification by using peptides identified from mass spectrometry and link this information directly to respective protein maps. Additionally, our application employs spectral counting for quantitative presentation of the data. All information can be linked to hot spots on images to place the results into an experimental context. A summary of identified proteins, containing all relevant information per hot spot, is automatically generated, usually upon either a change in the underlying protein models or due to newly imported identifications. The supporting information for this report can be accessed in multiple ways using the user interface provided by the application. Conclusion: We present a proteomics database which aims to greatly reduce evaluation time of results from mass spectrometric experiments and enhance result quality by allowing consistent data handling. Import functionality, automatic protein detection, and summary creation act together to facilitate data analysis. In addition, supporting information for these findings is readily accessible via the graphical user interface provided. The database schema and the implementation, which can easily be installed on virtually any server, can be downloaded in the form of a compressed file from our project webpage.
Citation - WoS: 4
Citation - Scopus: 5
3d Helmholtz Coil System Setup for Thermal Conductivity Measurements of Magnetic Nanofluids
(Pergamon-Elsevier Science Ltd, 2023) Alsangur, Rahime; Dog, Serkan; Ateş, Ismet; Turgut, Alpaslan; Çetin, Levent
This study aims to design a mechatronic system that involves a 3D Helmholtz coil system implemented with the 3 omega; method to measure the thermal conductivity of magnetic nanofluids under uniform and rotating magnetic fields. For this purpose, a 3D Helmholtz coil system was designed and manufactured to generate a uniform and rotating magnetic field up to 400 G. First, the uniformity and rotation abilities of the magnetic field generated by the system were investigated numerically and experimentally. The investigations pointed out that the 3D Helmholtz coil system can generate a uniform magnetic field in 1D, 2D, and 3D with a maximum non-uniformity factor of 0.0016. After that, the thermal conductivity of Fe3O4 - water magnetic nanofluid samples with 1, 2, 3, 4, and 4.8 vol.% were measured under 1D, 2D, and 3D uniform magnetic field application. The magnetic field was applied at different direction angles between X, Y, and Z axes in the Cartesian coordinate system. The results pointed out that the thermal conductivity of the samples increases as the magnetic field and particle concentration increase. The maximum thermal conductivity enhancement was observed as similar to 9.1% and the minimum thermal conductivity was observed as similar to 1.9% when the magnetic field is applied in parallel and perpendicular directions, respectively. The measurement results also pointed out that under the external uniform magnetic field application at 2D and 3D, thermal conductivity enhancement is less affected by the particle concentration increment.
An Abbreviated History of Liver Transplantation
(Wolters Kluwer Medknow Publications, 2024) Schilsky, M.L.; Emre, S.H.
[No abstract available]
Citation - Scopus: 1
Ablation of Atrioventricular Nodal Reentrant Tachycardia With Focal Cryoablation, Compared With Radiofrequency Ablation: Single-Center Experience
(2024) Topaloğlu, C.; Fici, F.; Borne, P.V.; Taşkin, U.; Dogdus, M.; Saygi, S.; Tengiz, I.
BACKGROUND: The ablation of atrioventricular nodal reentrant tachycardia (AVNRT) with cryoablation is an alternative to radiofrequency (RF) ablation in patients due to the low risk of total atrioventricular block. An increase in early-late recurrences after cryoablation is reported as an important disadvantage. OBJECTIVES: In this study, we aimed to compare the acute procedural success and the long-term recurrence rates of patients, with AVNRT who underwent methods. METHODS: 73 patients with AVNRT were included in the study: 32 with cryoablation and 41 with RF ablation. There was no statistically significant difference between acute procedural success in methods. The ablation procedure was performed by an operator experienced in arrhythmology. The choice of RF or cryoablation was made in the electrophysiology laboratory based on the material already available during the procedure. After the procedure, the patients were evaluated every 3 months for 2 years in polyclinic control. The significance level adopted in the statistical analysis was 5%. RESULTS: The 2 groups of patients were homogeneous.
Citation - WoS: 9
Citation - Scopus: 8
Abnormal Cross Frequency Coupling of Brain Electroencephalographic Oscillations Related To Visual Oddball Task in Parkinson's Disease With Mild Cognitive Impairment
(Sage Publications Inc, 2023) Bayraktaroglu, Zubeyir; Akturk, Tuba; Yener, Görsev; de Graaf, Tom A.; Hanoglu, Lutfu; Yildirim, Ebru; Gunduz, Duygu Hunerli
Parkinson's disease (PD) is a movement disorder caused by degeneration in dopaminergic neurons. During the disease course, most of PD patients develop mild cognitive impairment (PDMCI) and dementia, especially affecting frontal executive functions. In this study, we tested the hypothesis that PDMCI patients may be characterized by abnormal neurophysiological oscillatory mechanisms coupling frontal and posterior cortical areas during cognitive information processing. To test this hypothesis, event-related EEG oscillations (EROs) during counting visual target (rare) stimuli in an oddball task were recorded in healthy controls (HC; N = 51), cognitively unimpaired PD patients (N = 48), and PDMCI patients (N = 53). Hilbert transform served to estimate instantaneous phase and amplitude of EROs from delta to gamma frequency bands, while modulation index computed ERO phase-amplitude coupling (PAC) at electrode pairs. As compared to the HC and PD groups, the PDMCI group was characterized by (1) more posterior topography of the delta-theta PAC and (2) reversed delta-low frequency alpha PAC direction, ie, posterior-to-anterior rather than anterior-to-posterior. These results suggest that during cognitive demands, PDMCI patients are characterized by abnormal neurophysiological oscillatory mechanisms mainly led by delta frequencies underpinning functional connectivity from frontal to parietal cortical areas.
Citation - WoS: 1
Citation - Scopus: 1
About The Article Titled “a Different Scintigraphic Perspective On The Systolic Function Of The Left Ventricle-1” [“sol Ventrikül Sistolik Fonksiyonuna Sintigrafik Olarak Farklı Bir Bakış Açısı-1” Başlıklı Makale Hakkında]
(Galenos Publishing House, 2024) Taşçı, Cengiz
[No abstract available]
Citation - WoS: 1
Citation - Scopus: 1
Abstinence-Related Motivational Engagement Scale: Validity and Reliability in Turkish People
(Bilimsel Tip Publishing House, 2018) Yavan, Tulay; Gulesen, Asli; Bebis, Hatice
OBJECTIVES: This research aimed to conduct a validity and reliability study of the Turkish version of the abstinence-related motivational engagement (ARME) scale. MATERIALS AND METHODS: This study included 122 people and was administered in a smoking cessation clinic. The sociodemographic-smoking status characteristics questionnaire and the ARME scale were used for data collection. A psycholinguistic language adaptation was performed. In the validity, analyses, content, construct, and criterion-related validities were used. For content validity, expert evaluation was performed. For construct validity, principal component analyses (exploratory factor analyses) were performed. Orthogonal (Varimax) rotation was used to explore multiple factors. The Kaiser-Meyer-Olkin test was used to assess the adequacy of the sample size. For criterion-related validity, we compared the ARME scale points of people who were abstinent and had relapse for smoking at the end of the sixth month. In the reliability analysis, standard deviation (SD) and item analysis, internal consistency, and test-retest methods were used. RESULTS: The four factors explain 58% of the total variance. Items have factor loading between 0.409 and 0.805. When the factor structure of the scale was assessed, the items in each factor group have a factor load of at least 0.40. Due to one-dimensional use of the original scale, it has been decided to maintain this scale in its original form. The ARME scale points of people who quit smoking were statistically higher than the points of people who had relapse at the end of the sixth month. Cronbach's alpha coefficients were between 0.846 and 0.763. Significant and positive correlation was found between the test-retest scale scores. CONCLUSION: The Turkish adaptation of the ARME scale, which was developed for adults who quitted smoking, is an adequately valid and reliable measurement instrument. It is considered that the scale might be used reliably in different cultures as well.
Achieving Sustainable Learning Through Erp Based Supply Chain in Vitro Laboratory
(Elsevier Science Bv, 2011) Gocer, Aysu; Saatcioglu, Omur Yasar; Demir, Muhittin H.; Tuna, Okan; Baltacioglu, Tuncdan; Adali, Erman
In order to enable sustainable learning, practical motivation behind every theory in consideration needs to be experienced extensively. The purpose of this study is to enhance sustainable learning on logistics and supply chain management through an in vitro laboratory environment in which real life supply chain structure is simulated over actual physical flows, and also through enterprise resource planning (ERP) systems, and then to measure the level of sustainability achieved. Research is conducted by including a group of students to a hands-on implementation through both physical and computerized applications in this representative business environment. To support the findings, surveys and focus groups are conducted. (C) 2011 Published by Elsevier Ltd.
Citation - WoS: 5
Citation - Scopus: 6
Achieving Turkey's Indc Target: Assessments of Nccap and Indc Documents and Proposing Conceivable Policies
(Mdpi, 2018) Alkan, Ayla; Oğuş Binatlı, Ayla; Deger, Cagacan
In 2015, Turkey submitted its Intended Nationally Determined Contribution (INDC) to the United Nations Framework on Climate Change Convention (UNFCCC) before the Paris Conference of the Parties (COP 21), expressing its intention to decrease emissions level at a rate of 21% from business as usual. This emissions reduction target is important as it is the first one for Turkey. However, Turkey faces unemployment problems and needs to sustain its growth. In this study, an Environmentally Extended Social Accounting Matrix (SAM), based on 2012 Input-Output data, was created, emissions reduction potentials of the National Climate Change Action Plan (NCCAP) together with the INDC were calculated, and alternative policies to reduce emissions to the target level and to boost the economy were proposed separately. The study finds that both the preparation and implementation of the previous national documents are problematic, and that Turkey was not meticulous about implementation of the climate mitigation policies in the previous national documents. The study also finds that reaching the emissions target with the INDC policies seems impossible and more conceivable policies are needed, and recommends that the INDC target and document itself should be revised substantially.
Acoustic Emission Response of Macro Synthetic Fibre Reinforced Concrete Beams
(Natl Inst Science Communication-Niscair, 2025) Selman, Efe; Kilic, Gokhan
Macro synthetic fibre reinforced concrete(MSFRC) has been frequently preferred owing to their adequate ductility, post cracking capacity and toughness values, being potential sustainable alternative material to steel fibre concrete. Their fracture processes and possible failure mechanisms have been simultaneously scrutinized in order to fully exploit from their advantageous structural characteristics. AE methods have accurately provided comprehensive information on the origination and development of a flaw that is located in inner sections of material. With this current study, AE technique has been selected in order to determine the crack evolution and propagation in MSFRC structures. To study the AE response of MSFRC specimens, three MSFRC specimens in the volumetric ratios 0.5%,1% and 1.5% have been prepared and tested with reference concrete specimen. Average frequency, RA(Rise time to Amplitude ratio) and Sentry function parameters have been examined during three-point bending tests for specimens. AE features which correspond to the damage occurrences have been identified and shown during load history. AE method has been found to predict adequately the damage progression of MSFRC elements and the experimental behaviours of specimens have been typically captured well.
Citation - WoS: 6
Citation - Scopus: 5
Acrylamide-Encapsulated Glucose Oxidase Inhibits Breast Cancer Cell Viability
(Walter De Gruyter Gmbh, 2020) Rrustemi, Trendelina; Geyik, Oyku Gonul; Ozkaya, Ali Burak; Ozturk, Taylan Kurtulus; Yuce, Zeynep; Kilinc, Ali
Objectives: Cancer cells modulate metabolic pathways to ensure continuity of energy, macromolecules and redoxhomeostasis. Although these vulnerabilities are often targeted individually, targeting all with an enzyme may prove a novel approach. However, therapeutic enzymes are prone to proteolytic degradation and neutralizing antibodies leading to a reduced half-life and effectiveness. We hypothesized that glucose oxidase (GOX) enzyme that catalyzes oxidation of glucose and production of hydrogen peroxide, may hit all these targets by depleting glucose; crippling anabolic pathways and producing reactive oxygen species (ROS); unbalancing redox homeostasis. Methods: We encapsulated GOX in an acrylamide layer and then performed activity assays in denaturizing settings to determine protection provided by encapsulation. Afterwards, we tested the effects of encapsulated (enGOX) and free (fGOX) enzyme on MCF-7 breast cancer cells. Results: GOX preserved 70% of its activity following encapsulation. When fGOX and enGOX treated with guanidinium chloride, fGOX lost approximately 72% of its activity, while enGOX only lost 30%. Both forms demonstrated remarkable resilience against degradation by proteinase K and inhibited viability of MCF-7 cells in an activity-dependent manner. Conclusions: Encapsulation provided protection to GOX against denaturation without reducing its activity, which would prolong half-life of the enzyme when administered intravenously.
Citation - WoS: 2
Citation - Scopus: 2
Active Particle Aggregate on Complex Bubble Surfaces
(Canadian Science Publishing, Nrc Research Press, 2018) Akguc, Gursoy B.
Recently, colloids have been shown to form complex structures on bubble surfaces on demand. With the help of a high power pulse laser shining on a thin water film, water bubbles can be formed and heat unbalance creates a convective flow, which carries colloids on the surface of these water bubbles to form aggregates. Here, active particles are studied in a similar setup and conditions are laid out to form aggregates on water bubble surfaces. The effect of motility and chirality of active particles on formation of aggregate are discussed. The simulation results obtained here will hopefully help the experimental endeavors in future.
Citation - WoS: 2
Citation - Scopus: 2
Active Vibration Control of Cantilever Structures by Integrating the Closed Loop Control Action Into Transient Solution of Finite Element Model and an Application To Aircraft Wing
(Mdpi, 2025) Bulbul, Ilker; Akdag, Murat; Karagulle, Hira
In this study, the active vibration control (AVC) of a cantilever beam with an end mass is considered first and studied experimentally and through simulation. The Laplace transform method, Newmark method, and ANSYS are used for simulations. An impulse force applied to the mass and the velocity actuation applied to the base are assumed to be disturbance and controlling input, respectively. The displacement of the mass is taken as the feedback signal in simulations. Four strain gauges are located near the bottom point, connected with a Wheatstone bridge, and the output voltage of a load-cell amplifier (LCA) is used as the feedback signal in experiments. Strain feedback is considered in experiments because it is easy to implement, cost-effective, and can be used in applications. Experimental displacement signals obtained from the top of the beam are compared with the output signals from LCA and it is observed that they are approximately linearly dependent. Velocity input is generated with a servo motor-driven linear actuator in experiments. The closed loop control is achieved by a personal computer with an Adlink-9222 PCI DAQ card and a C program in the experiments. The integration of the closed loop control action into the transient solution with Newmark method and ANSYS is implemented in simulations. The input reference value is taken as zero for vibration control. The instantaneous value of the feedback signal at a time step is subtracted from zero to find the error signal value and the error value is multiplied by the control gain to calculate the controlling signal. The simulation results obtained with the Newmark method and ANSYS are in good agreement with the analytical results obtained with Laplace transform method. Simulation results are also in acceptable agreement with the experimental results for explaining the behavior of the success of AVC depending on the control gain, Kp. After verifying ANSYS solutions, the ANSYS procedure is applied to an aircraft wing as a real complex cantilever structure. The wing, with a length of 810.8 mm, 13 ribs with a length of 300 mm, and NACA 4412 airfoil, is considered in this study. It is observed that the AVC of real engineering structures can be simulated by integrating control action into transient solution in ANSYS.
Citation - WoS: 23
Citation - Scopus: 31
Activity-Based Costing Approach in the Measurement of Cost of Quality in Smes: a Case Study
(Routledge Journals, Taylor & Francis Ltd, 2013) Ozkan, Serdar; Karaibrahimoglu, Yasemin Zengin
Since the 1950s, a considerable amount of attention has been given on the cost of quality (CoQ) in theory and in practice. Overall, it is argued that a precise measurement of the CoQ requires a well-established accounting system that provides accurate cost information. However, in the literature, it is generally considered that traditional cost accounting methods do not provide accurate cost data for the measurement of quality costs. Therefore, the aim of this study is to explore the role of activity-based costing (ABC) in supporting the measurement of CoQ in small and medium-sized enterprises in order to discuss the results of implementation, its benefits and drawbacks. Overall, it was found that the use of ABC in the CoQ measurement provides the organisation with the means to determine both value-added and non-value-added quality-related activites and to detect improvement opportunities in the production process.
Citation - WoS: 14
Citation - Scopus: 13
Adaptation of Local Businesses To the New Era During the Covid-19 and the Russia-Ukraine War: Case of Cesme
(Routledge Journals, Taylor & Francis Ltd, 2023) Nazli, Murat
Turkey's economic impact has been severe due to the lack of international tourists and the Covid-19 pandemic. Specifically, the tourist destination cesme has suffered economic fluctuations due to decreased international visitors, the Russia-Ukraine war, and insufficient domestic tourists to fill the gap. The study aims to identify deficiencies that help stakeholders manage tourism development amid Covid-19 and the Russia-Ukraine war. The data were collected through semi-structured interviews (n = 34) with local business owners operating for at least 25 years. The study provides insights into the recent tourism development during the pandemic and presents a high level of resilience among local businesses. The business owners perceive the current pandemic and the Russia-Ukraine war situation differently psychologically. Most resilient business owners look for business opportunities by adapting their business models for long-term survival despite the pandemic and the Russia-Ukraine war affecting international tourism.
Citation - WoS: 5
Citation - Scopus: 6
Adaptation of Quality of Life Measure for Limb Lymphedema-Arm in Turkish Women With Breast Cancer-Related Lymphedema
(Lippincott Williams & Wilkins, 2021) Karayurt, Ozgul; Deveci, Zeynep; Eyigor, Sibel; Inbat, Menekse Ozgur
Background Quality-of-life measures are needed for clinicians and researchers to identify quality of women's life with breast cancer-related lymphedema (BCRL). Objective To adapt Quality of Life Measure for Limb Lymphedema-Arm into Turkish (TR) and to test its validity and reliability. Methods This is a methodological and cross-sectional study and was conducted in the lymphedema outpatient clinic of a university hospital. The study included 109 women with BCRL. After linguistic validity of the scale was achieved, confirmatory factor analyses and known group validity were used to test its construct validity. Reliability of the scale was tested with Cronbach's alpha, item-total correlations, and Spearman-Brown coefficient. Results After linguistic validity was achieved, opinions requested from 5 experts specializing in lymphedema showed that item and content validity indexes of the scale were 1. Fit indexes of confirmatory factor analysis were as follows: chi(2)/df = 1.86, root mean square error of approximation = 0.089, standardized root mean square residual = 0.09, and comparative fit index = 0.81. Known group validity analysis showed a significant difference in the mean scores for the subscales of Quality of Life Measure for Limb Lymphedema-Arm-TR, symptom, function, and body image/appearance in terms of lymphedema stages (P < .05). The internal reliability coefficients for the subscales ranged from 0.78 and 0.86. The item-total correlation coefficients ranged between 0.36 and 0.73. Conclusion Quality of Life Measure for Limb Lymphedema-Arm-TR was found to be valid and reliable in the TR population. It could be used in research to evaluate the quality of life in patients with BCRL. Implications for Practice The scale can be used to evaluate effectiveness of nursing interventions directed toward patients developing breast cancer-related lymphedema in clinical settings and studies.

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