PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection

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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.
Citation - WoS: 22
Anti-Vegf Treatment Suppresses Remodeling Factors and Restores Epithelial Barrier Function Through the E-cadherin/Beta-catenin Signaling Axis in Experimental Asthma Models
(Spandidos Publ Ltd, 2021) Turkeli, Ahmet; Yilmaz, Ozge; Karaman, Meral; Kanik, Esra Toprak; Firinci, Fatih; Inan, Sevinc; Yuksel, Hasan
Besides maintaining a physical barrier with adherens junctional (AJ) and tight junctional proteins, airway epithelial cells have important roles in modulating the inflammatory processes of allergic asthma. E-cadherin and beta-catenin are the key AJ proteins that are involved in airway remodeling. Various mediators such as transforming growth factor-beta (TGF-beta), epidermal growth factor (EGF), fibroblast growth factor (FGF), platelet derived growth factor (PDGF), insulin-like growth factor (IGF), tumor necrosis factor-alpha (TNF-alpha) and angiogenic factors, such as vascular endothelial growth factor (VEGF), are released by the airway epithelium in allergic asthma. The signaling pathways activated by these growth factors trigger epithelial-mesenchymal transition (EMT), which contributes to fibrosis and subsequent downregulation of E-cadherin. The present study used a mouse asthma model to investigate the effects of anti-VEGF, anti-TNF and corticosteroid therapies on growth factor and E-cadherin/beta-catenin expression. The study used 38 male BALB/c mice, divided into 5 groups. A chronic mouse asthma model was created by treating 4 of the groups with inhaled and intraperitoneal ovalbumin (n= 8 per group). Saline, anti-TNF-alpha (etanercept), anti-VEGF (bevacizumab) or a corticosteroid (dexamethasone) were applied to each group by intraperitoneal injection. No medication was administered to the control group (n=6). Immunohistochemistry for E-cadherin, beta-catenin and growth factors was performed on lung tissues and protein expression levels assessed using H-scores. Statistically significant differences were observed in E-cadherin, beta-catenin, EGF, FG, and PFGF (P<0.001 for all) as well as the IGF H-scores between the five groups (P<0.005). Only anti-VEGF treatment caused E-cadherin and beta-catenin levels to increase to the level of non-asthmatic control groups (P>0.005). All treatment groups had reduced TGF-beta, PDGF and FGF H-scores in comparison with the untreated asthma group (P=0.001). The EGF and IGF levels were not significantly different between the untreated asthmatic and non-asthmatic controls. The results suggested that anti-VEGF and TNF-alpha inhibition treatments are effective in decreasing growth factors, in a similar manner to conventional corticosteroid treatments. Anti-VEGF and TNF inhibition therapy may be an effective treatment for remodeling in asthma while offering an alternative therapeutic option to steroid protective agents. The data suggested that anti-VEGF treatment offered greater restoration of the epithelial barrier than both anti-TNF-alpha and corticosteroid treatment.
Citation - WoS: 17
Citation - Scopus: 21
Automated Patient-Specific Classification of Premature Ventricular Contractions
(IEEE, 2008) İnce, Türker; Kiranyaz, Serkan; Gabbouj, Moncef
In this paper, we present an automated patient-specific electrocardiogram (ECG) beat classifier designed or accurate defection of premature ventricular contractions (PVCs). In the proposed feature extraction scheme, the principal component analysis (PCA) is applied to the dyadic wavelet transform (DWT) of the ECG signal to extract morphological ECG features, which are then combined with the temporal features to form a resultant efficient feature vector. For the classification scheme, we selected the feed-forward artificial neural networks (ANNs) optimally designed by the multi-dimensional particle swarm optimization (MD-PSO) technique, which evolves the structure and weights of the network specifically for each patient. Training data for the ANN classifier include both global (total of 150 representative beats randomly sampled from each class in selected training files) and local (the first 5 min of a patient's ECG recording) training patterns. Simulation results using 40 files in the MIT/BIH arrhythmia database achieved high average accuracy of 97% for differentiating normal, PVC, and other beats.
Citation - Scopus: 21
Automated Patient-Specific Classification of Premature Ventricular Contractions
(2008) Ince, T.; Kiranyaz, S.; Gabbouj, M.
In this paper, we present an automated patient-specific electrocardiogram (ECG) beat classifier designed for accurate detection of premature ventricular contractions (PVCs). In the proposed feature extraction scheme, the principal component analysis (PCA) is applied to the dyadic wavelet transform (DWT) of the ECG signal to extract morphological ECG features, which are then combined with the temporal features to form a resultant efficient feature vector. For the classification scheme, we selected the feed-forward artificial neural networks (ANNs) optimally designed by the multi-dimensional particle swarm optimization (MD-PSO) technique, which evolves the structure and weights of the network specifically for each patient. Training data for the ANN classifier include both global (total of 150 representative beats randomly sampled from each class in selected training files) and local (the first 5 min of a patient's ECG recording) training patterns. Simulation results using 40 files in the MIT/BIH arrhythmia database achieved high average accuracy of 97% for differentiating normal, PVC, and other beats.
Citation - Scopus: 1
Classification of Holter Registers by Dynamic Clustering Using Multi-Dimensional Particle Swarm Optimization
(2010) Kiranyaz S.; İnce, Türker; Pulkkinen J.; Gabbouj M.
In this paper, we address dynamic clustering in high dimensional data or feature spaces as an optimization problem where multi-dimensional particle swarm optimization (MD PSO) is used to find out the true number of clusters, while fractional global best formation (FGBF) is applied to avoid local optima. Based on these techniques we then present a novel and personalized long-term ECG classification system, which addresses the problem of labeling the beats within a long-term ECG signal, known as Holter register, recorded from an individual patient. Due to the massive amount of ECG beats in a Holter register, visual inspection is quite difficult and cumbersome, if not impossible. Therefore the proposed system helps professionals to quickly and accurately diagnose any latent heart disease by examining only the representative beats (the so called master key-beats) each of which is representing a cluster of homogeneous (similar) beats. We tested the system on a benchmark database where the beats of each Holter register have been manually labeled by cardiologists. The selection of the right master key-beats is the key factor for achieving a highly accurate classification and the proposed systematic approach produced results that were consistent with the manual labels with 99.5% average accuracy, which basically shows the efficiency of the system. © 2010 IEEE.
Citation - WoS: 15
Citation - Scopus: 19
Collective Network of Binary Classifier Framework for Polarimetric Sar Image Classification: an Evolutionary Approach
(IEEE-Inst Electrical Electronics Engineers Inc, 2012) Kiranyaz, Serkan; İnce, Türker; Uhlmann, Stefan; Gabbouj, Moncef
Terrain classification over polarimetric synthetic aperture radar (SAR) images has been an active research field where several features and classifiers have been proposed up to date. However, some key questions, e.g., 1) how to select certain features so as to achieve highest discrimination over certain classes?, 2) how to combine them in the most effective way?, 3) which distance metric to apply?, 4) how to find the optimal classifier configuration for the classification problem in hand?, 5) how to scale/adapt the classifier if large number of classes/features are present?, and finally, 6) how to train the classifier efficiently to maximize the classification accuracy?, still remain unanswered. In this paper, we propose a collective network of (evolutionary) binary classifier (CNBC) framework to address all these problems and to achieve high classification performance. The CNBC framework adapts a Divide and Conquer type approach by allocating several NBCs to discriminate each class and performs evolutionary search to find the optimal BC in each NBC. In such an (incremental) evolution session, the CNBC body can further dynamically adapt itself with each new incoming class/feature set without a full-scale retraining or reconfiguration. Both visual and numerical performance evaluations of the proposed framework over two benchmark SAR images demonstrate its superiority and a significant performance gap against several major classifiers in this field.
Citation - WoS: 2
Comparison of Expandable and Locked Intramedullary Nailing for Humeral Shaft Fractures
(Cureus Inc, 2021) Akdemir, Mehmet; Biçen, Ahmet Çağdaş; Ozkan, Mustafa; Ekin, Ahmet
Introduction In this study, we clinically and radiologically investigated whether the application of expandable nails for surgical treatment of humeral shaft fractures has an advantage over locked intramedullary nails. Methods Patients treated with intramedullary fixation due to humeral shaft fractures in our clinic were investigated retrospectively. Patients with fractures of type 12A and 12B according to the AO classification in the middle 1/3 shaft region of the humerus were divided into two groups as those receiving fixation with expandable nails and with locked intramedullary nails. The union rate, union time, Q-DASH scores, duration of surgery, and complication rates were statistically compared between the two groups. Results The study included 38 patients with clinical follow-up from among 47 patients; 20 patients received fixation with locked intramedullary nails and 18 with expandable nails. The mean age of the patients was 56.92 (1991) years and 53% (n=20) were men while 47% (n=18) were women. During statistical evaluation, a statistically significant difference was found between the groups for union (100% and 72.2%) and complication rates (6% and 13%). More union and lower complication rates were found in patients treated with locked intramedullary nails. In comparing the mean of surgical times (71.1 and 30.2 min), expandable nails had a shorter surgical time. However, there was no statistically significant difference between the union time and Q-DASH scores between the two groups. Conclusion Locked intramedullary nails are a better fixation method than expandable nails due to the low complication rate and high rate of union. However, due to shorter surgery time, expandable nailing is an alternative method in limited cases.
Citation - Scopus: 291
Convolutional Neural Networks for Patient-Specific Ecg Classification
(Institute of Electrical and Electronics Engineers Inc., 2015) Kiranyaz S.; İnce, Türker; Hamila R.; Gabbouj, Moncef
We propose a fast and accurate patient-specific electrocardiogram (ECG) classification and monitoring system using an adaptive implementation of 1D Convolutional Neural Networks (CNNs) that can fuse feature extraction and classification into a unified learner. In this way, a dedicated CNN will be trained for each patient by using relatively small common and patient-specific training data and thus it can also be used to classify long ECG records such as Holter registers in a fast and accurate manner. Alternatively, such a solution can conveniently be used for real-time ECG monitoring and early alert system on a light-weight wearable device. The experimental results demonstrate that the proposed system achieves a superior classification performance for the detection of ventricular ectopic beats (VEB) and supraventricular ectopic beats (SVEB). © 2015 IEEE.
Coping Self-Efficacy Scale Evaluation of the Turkish Validity and Reliability of the Scale
(Wolters Kluwer Medknow Publications, 2025) Gokdemir, Ozden; Come, Ogulcan; Akin, Cetin; Tunay, Merthan
Background:The purpose of the study is to evaluate the validity and reliability of the Coping Self-Efficacy Scale (CSES) for family physicians.Method:The study is a correlational cross-sectional type of methodological study conducted with 255 family physicians. In the research, data were collected using descriptive data record form and the CSES. The collected data were analyzed using the following statistical methods: "Explanatory Factor Analysis (EFA)," "Confirmatory Factor Analysis (CFA)," "Cronbach's Alpha."Results:This study involved family physicians (mean age: 38.5 +/- 10.1, 59.2% women), with 72.2% married and 59.6% having children. Work settings varied, with 39.2% in family health centers, 38.0% in university hospitals, and 16.5% in state hospitals. Exploratory and confirmatory factor analyses were conducted on the CSES, revealing a three-factor model with strong validity (Kaiser-Meyer-Olkin (KMO) =0.956). The model exhibited good fit indices (chi(2) =61.432, df = 132, P = 1.000; root mean square error of approximation (RMSEA) =0.000; goodness of fit (GFI) =0.998; comparative fit index (CFI) =1.00; incremental fit index (IFI) =1.003; relative fit index (RFI) =0.997; normed fit index (NFI) =0.997). Reliability was high (Cronbach's alpha =0.978), indicating robust internal consistency across factors. This instrument appears reliable and valid for assessing family physicians' self-efficacy.Conclusions:Findings affirm the reliability and validity of the CSES instrument in assessing self-efficacy among family physicians, providing a valuable tool for understanding and enhancing their professional capabilities in diverse healthcare settings.
Citation - WoS: 5
Depression, Anxiety, and Post-Traumatic Stress Disorder Following Orthopedic War Injuries
(Cureus Inc, 2021) Biçen, Ahmet Çağdaş; Akdemir, Mehmet; Gulveren, Dilek; Dirin, Deniz; Ekin, Ahmet
Introduction There are ongoing wars worldwide, during which significant numbers of people are injured. Several studies have indicated that high rates of depression and anxiety are seen in war-injured patients. Methods Eighty-one male patients treated between November 2019 and January 2021 far from home in a Turkish hospital due to war injuries that happened in the Libyan Civil War were investigated. Demographic characteristics and injury data of the patients were evaluated regarding age, Injury Severity Score (ISS), location of injuries, type and mechanism of injuries, operations, and accompanying traumas. The psychological statuses of the patients were evaluated with the Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), and post-traumatic stress disorder (PTSD) records filled out at the first admission to the hospital. Results The mean age of the patients was 29.8 +/- 7.7 (19-56) years. While 59 patients had fractures, 22 patients had only soft tissue injuries. Eighteen patients suffered from other accompanying injuries. While 85.2% of the patients showed symptoms of depression, 82.7% of the patients suffered from anxiety and PTSD symptoms were seen in 86.4% of the patients. Statistical analysis was performed to investigate the effects of injury severity, duration of hospitalization, number of operations, and age on depression, anxiety, and PTSD among these patients with war injuries. The results did not indicate any significant effect of injury severity, hospitalization duration, or operations. Conclusion Depression, anxiety, and PTSD are common in patients injured in wars. Injury severity does not seem to affect depression, anxiety, or PTSD in these patients.
Citation - WoS: 7
Citation - Scopus: 6
Distribution of Furin, Tnf-Alpha, and Tgf-Beta 2 in the Endometrium of Missed Abortion and Voluntary First Trimester Termination Cases
(Sci Printers & Publ Inc, 2015) Ozbilgin, Kemal; Turan, Afsin; Kahraman, Burcu; Atay, Coskun; Vatansever, Seda; Uluer, Elgin T.; Ozcakir, Tayfun
OBJECTIVE: To identify the role of furin, TNF-alpha, and TGF-beta 2 in human missed abortion pathogenesis. STUDY DESIGN: Decidual materials were collected from patients diagnosed with a missed abortion (n=10) (missed abortion group) and from legal voluntary termination cases at <10 gestational weeks (n=10) (normal pregnancy group). Tissue samples were collected from each group by dilation and curettage under mask anesthesia. For all tissue samples, furin, TNF-alpha, and TGF-beta 2 primary antibodies were performed by immunohistochemical staining. The number of stained cells was evaluated by using the H-score technique. RESULTS: In immunohistochemical examination, the immunoreactivities of furin, TNF-alpha, and TGF-beta 2 were found to be higher in syncytiotrophoblastic cells in the missed abortion group than in the normal pregnancy group (p < 0.005). Additionally, high immunoreactivity of TNF-alpha and TGF-beta 2 molecules was established only in cytotrophoblastic cells of missed abortions (p <0.005) in examination at decidual cells of the missed abortion group; furin immunoreactivities were detected higher in the missed abortion group than in the control group, but TNF-alpha and TGF-beta 2 immunoreactivity were increased in number in the normal pregnancy group (p < 0.005). CONCLUSION: It is considered that high levels of furin and the 2 furin-related proteins (TNF-alpha and TGF-beta 2), which play important roles in proliferation, invasion, migration, differentiation, and survival of cells, may be the reason of proceeding decidualization, placentation, and prevention from abortion, in spite of terminating the fetal life.
Citation - WoS: 11
Citation - Scopus: 10
Do Wortmannin and Thalidomide Induce Apoptosis by Autophagy Inhibition in 4t1 Breast Cancer Cells in Vitro and in Vivo?
(E-Century Publishing Corp, 2021) Uluer, Elgin Turkoz; Sonmez, Pinar Kilicaslan; Akogullari, Damla; Onal, Melike; Tanriover, Gamze; Inan, Sevinc
The aim of this study was to show the effects of autophagy inhibitor Wortmannin and antiangiogenicproapoptotic Thalidomide on autophagy and apoptosis markers in 4T1 breast cancer cells in vitro and in vivo. The half-maximal inhibitory concentration (IC50) values of 4T1 cells for Wortmannin and Thalidomide were evaluated by Methylthiazolyldiphenyl-tetrazolium bromide (MTT) assay. After cancer formation in 28 BALB/C female mice, drugs were administered for seven days. Cells and tissue sections were evaluated for anti-phosphoinositide 3-kinase (PI3K), anti- the microtubule-associated protein 1 light chain3 (MAPLC313), anti-caspase 8, anti-caspase 9, and anti-caspase 3 immunoreactivities by immunohistochemical staining and apoptosis by Terminal Transferase dUTP Nick End Labeling (TUNEL) assay. Both PI3K and MAPLC313 immunoreactivities decreased in all treatments when compared to control group except Thalidomide treatment in primary cancer tissue. The caspase 3, 8, and 9 immunoreactivities were increased in all treatment groups and TUNEL positive cells were the highest in the Wortmannin and Thalidomide group. Our findings suggest that autophagy is an important mechanism for 4T1 cells and both Wortmannin and Thalidomide treatments inhibit autophagy and induce apoptosis. In primary cancer tissues, autophagy was not effective as in vitro. The treatment of Wortmannin and Thalidomide increased the apoptotic cells in vivo independent from autophagy inhibition. Different results may be because of microenvironment. Further studies must be done to elucidate the effect of microenvironment.
Durvalumab-Based First-Line Chemoimmunotherapy in Advanced Biliary Tract Cancer: Real-World Outcomes and Prognostic Factors—A Turkish Oncology Group Study
(Multidisciplinary Digital Publishing Institute (MDPI), 2026) Efil, S.C.; Kus, F.; Köylü, B.; Durukan, B.M.; Bayram, S.; Guzel, H.G.; Şendur, M.A.N.
Background: Durvalumab combined with gemcitabine–cisplatin (GC) has become the standard first-line treatment for advanced biliary tract cancer (BTC) following the TOPAZ-1 trial. However, real-world effectiveness, safety, and prognostic determinants, particularly in underrepresented populations, remain insufficiently defined. The aim of this study was to evaluate the real-world outcomes of first-line durvalumab plus chemotherapy and identify independent prognostic factors in patients with advanced BTC. Methods: This multicenter retrospective cohort study included patients with unresectable or metastatic BTC treated with first-line durvalumab plus chemotherapy across 21 tertiary oncology centers in Türkiye. Clinical characteristics, laboratory parameters, biomarker data, and treatment details were collected. The primary endpoint was overall survival (OS), while secondary endpoints included progression-free survival (PFS), objective response rate (ORR), and safety. Survival outcomes were analyzed using the Kaplan–Meier method and Cox proportional hazards regression models. Results: A total of 78 patients were analyzed; 53.8% were male, and the median age was 62 years. Primary tumor sites were intrahepatic (55.1%), extrahepatic (30.8%), and gallbladder (14.1%). After a median follow-up of 12.58 months, median OS was 11.59 months and median PFS was 6.80 months. The ORR was 50.6%, including complete and partial responses in 2.7% and 47.9% of patients, respectively. Treatment-related adverse events occurred in 97.4% of patients, with grade 3–4 events in 37.2%. Immune-related adverse events were observed in 19.2%, including one case of grade 3 pneumonitis. No patient permanently discontinued durvalumab due to toxicity, and no durvalumab-related mortality occurred. In multivariable analysis, ECOG performance status 2 (HR 3.43; 95% CI 1.33–8.80) and ALBI grade 2–3 (HR 2.54; 95% CI 1.24–5.19) independently predicted worse OS, while ECOG performance status 2 also predicted shorter PFS (HR 5.91; 95% CI 2.30–15.17). Conclusions: In this multicenter real-world Turkish cohort, first-line durvalumab plus chemotherapy showed effectiveness and tolerability comparable to clinical trial data. Baseline ECOG performance status and ALBI grade were independent prognostic factors, supporting their use for risk stratification in advanced biliary tract cancer. © 2025 by the authors.
Evaluation of Response To Gemcitabine Plus Cisplatin-Based Chemotherapy Using Positron Emission Computed Tomography for Metastatic Bladder Cancer
(Baishideng Publishing Group Inc, 2023) Öztürk, Hakan; Karapolat, İnanç
BACKGROUNDThe purpose of the present study was to examine retrospectively the contribution of (18)Fluorodeoxyglucose positron emission tomography computed tomography ((18)FDG-PET/CT) to the evaluation of response to first-line gemcitabine plus cisplatin-based chemotherapy in patients with metastatic bladder cancer. AIMTo evaluate the response to Gemcitabine plus Cisplatin -based chemotherapy using (18)FDG-PET/CT imaging in patients with metastatic bladder cancer. METHODSBetween July 2007 and April 2019, 79 patients underwent (18)FDG-PET/CT imaging with the diagnosis of Metastatic Bladder Carcinoma (M-BCa). A total of 42 patients (38 male, 4 female) were included in the study, and all had been administered Gemcitabine plus Cisplatin-based chemotherapy. After completion of the therapy, the patients underwent a repeat (18)FDG-PET/CT scan and the results were compared with the PET/CT findings before chemotherapy according to European Organisation for the Research and treatment of cancer criteria. Mean age was 66.1 years and standard deviation was 10.7 years (range: 41-84 years). RESULTSOf the patients, seven (16.6%) were in complete remission, 17 (40.5%) were in partial remission, six (14.3%) had a stable disease, and 12 (28.6%) had a progressive disease. The overall response rate was 57.1 percent. CONCLUSION(18)FDG-PET/CT can be considered as a successful imaging tool in evaluating response to first-line chemotherapy for metastatic bladder cancer. Anatomical and functional data obtained from PET/CT scans may be useful in the planning of secondline and thirdline chemotherapy.
Citation - WoS: 93
Citation - Scopus: 121
Fractional Particle Swarm Optimization in Multidimensional Search Space
(IEEE-Inst Electrical Electronics Engineers Inc, 2010) Kiranyaz, Serkan; İnce, Türker; Yildirim, Alper; Gabbouj, Moncef
In this paper, we propose two novel techniques, which successfully address several major problems in the field of particle swarm optimization (PSO) and promise a significant breakthrough over complex multimodal optimization problems at high dimensions. The first one, which is the so-called multidimensional (MD) PSO, re-forms the native structure of swarm particles in such a way that they can make interdimensional passes with a dedicated dimensional PSO process. Therefore, in an MD search space, where the optimum dimension is unknown, swarm particles can seek both positional and dimensional optima. This eventually removes the necessity of setting a fixed dimension a priori, which is a common drawback for the family of swarm optimizers. Nevertheless, MD PSO is still susceptible to premature convergences due to lack of divergence. Among many PSO variants in the literature, none yields a robust solution, particularly over multimodal complex problems at high dimensions. To address this problem, we propose the fractional global best formation (FGBF) technique, which basically collects all the best dimensional components and fractionally creates an artificial global best (alpha GB) particle that has the potential to be a better guide than the PSO's native gbest particle. This way, the potential diversity that is present among the dimensions of swarm particles can be efficiently used within the alpha GB particle. We investigated both individual and mutual applications of the proposed techniques over the following two well-known domains: 1) nonlinear function minimization and 2) data clustering. An extensive set of experiments shows that in both application domains, MD PSO with FGBF exhibits an impressive speed gain and converges to the global optima at the true dimension regardless of the search
Citation - WoS: 7
Citation - Scopus: 10
Investigation of the Role of Convolutional Neural Network Architectures in the Diagnosis of Glaucoma Using Color Fundus Photography
(Turkish Ophthalmological Soc, 2022) Atalay, Eray; Ozalp, Onur; Devecioglu, Ozer Can; Erdogan, Hakika; İnce, Türker; Yildirim, Nilgun
Objectives: To evaluate the performance of convolutional neural network (CNN) architectures to distinguish eyes with glaucoma from normal eyes. Materials and Methods: A total of 9,950 fundus photographs of 5,388 patients from the database of Eskisehir Osmangazi University Faculty of Medicine Ophthalmology Clinic were labelled as glaucoma, glaucoma suspect, or normal by three different experienced ophthalmologists. The categorized fundus photographs were evaluated using a state-of-the-art two-dimensional CNN and compared with deep residual networks (ResNet) and very deep neural networks (VGG). The accuracy, sensitivity, and specificity of glaucoma detection with the different algorithms were evaluated using a dataset of 238 normal and 320 glaucomatous fundus photographs. For the detection of suspected glaucoma, ResNet-101 architectures were tested with a data set of 170 normal, 170 glaucoma, and 167 glaucoma-suspect fundus photographs. Results: Accuracy, sensitivity, and specificity in detecting glaucoma were 96.2%, 99.5%, and 93.7% with ResNet-50; 97.4 degrees A, 97.8%, and 97.1% with ResNet-101; 98.9%, 100%, and 98.1% with VGG-19, and 99.4%, 100%, and 99% with the 2D CNN, respectively. Accuracy, sensitivity, and specificity values in distinguishing glaucoma suspects from normal eyes were 62%, 68%, and 56% and those for differentiating glaucoma from suspected glaucoma were 92%, 81%, and 97%, respectively. While 55 photographs could be evaluated in 2 seconds with CNN, a clinician spent an average of 24.2 seconds to evaluate a single photograph. Conclusion: An appropriately designed and trained CNN was able to distinguish glaucoma with high accuracy even with a small number of fundus photographs. Conclusion: An appropriately designed and trained CNN was able to distinguish glaucoma with high accuracy even with a small number of fundus photographs.
Citation - WoS: 2
Matrix Metalloproteinase-2 and -3 Levels in Patients With Behçet's Disease and Implication for the Presence of Vascular Aneurysm or Neurologic Involvement
(AVES, 2023) Erten, Pınar Talu; Keser, Gökhan; Durusoy, Raika; Kocaer, Sinem Burcu; Aksu, Kenan
Background: Behçet's disease is a systemic vasculitis affecting both arteries and veins, as well as causing recurrent inflammatory multiorgan disease. Vascular involvement is associated with increased mortality and morbidity. Matrix metalloproteinases are released at sites of inflammation and degrade various components of the extracellular matrix. Increased levels of metalloproteinase-9 and metalloproteinase- 2 have been previously reported in Behçet's disease. Methods: In this cross-sectional study, metalloproteinase-2 and metalloproteinase-3 serum levels were investigated in 103 patients with Behçet's disease and 69 healthy controls, using Invitrogen immunoassay human metalloproteinase-2 and metalloproteinase-3 ELISA kits. Results: Serum metalloproteinase-2 and metalloproteinase-3 levels were significantly higher in the Behçet's disease group compared to healthy controls. Besides, serum metalloproteinase-3 levels were significantly higher in subgroups of Behçet's disease with aneurysmal vascular involvement and with neurological involvement. However, metalloproteinase-2 and metalloproteinase-3 serum levels did not show a positive correlation with disease activity. Conclusion: Metalloproteinase-2 and -3 may contribute to the complex pathogenesis of Behçet's disease. More importantly, the detection of very high serum levels of metalloproteinase-3 may predict the formation of an aneurysm, or possibly the presence of neurological involvement in Behçet's disease and may lead the clinician to make an earlier diagnosis of these complications in young male patients with high risk.
Never Judge a Book by Its Cover-The Socio-Cultural Aspects of Non-Epileptic Seizures in India-A Case Study
(Wolters Kluwer Medknow Publications, 2023) Bhattacharya, Sudip; Tripathi, Shailesh; Marzo, Roy Rillera; Gökdemir, Özden; Borocco, Maddona
Health for All will never be attained if sociocultural bias and pervasive hypocrisy are not eliminated. The patient mentioned in this case study had difficulty gaining access to health care for more than two decades. The seizure history was modified due to social pressure. The primary healthcare workers' ability to provide timely access to healthcare regardless of caste, religion, or gender, even in the most remote regions of the country, is of paramount importance. The patient was diagnosed with hypoparathyroidism and treated with calcium and vitamin D in high oral doses. The case also illustrates the significance of medical examination in preventing future difficulties in patients with presenile cataract.
Citation - WoS: 67
Citation - Scopus: 79
Novel Keratin Modified Bacterial Cellulose Nanocomposite Production and Characterization for Skin Tissue Engineering
(Elsevier, 2017) Keskin, Zalike; Urkmez, Aylin Sendemir; Hames, E. Esin
As it is known that bacterial cellulose (BC) is a biocompatible and natural biopolymer due to which it has a large set of biomedical applications. But still it lacks some desired properties, which limits its uses in many other applications. Therefore, the properties of BC need to be boosted up to an acceptable level. Here in this study for the first time, a new natural nanocomposite was produced by the incorporating keratin (isolated from human hair) to the BC (produced by Acetobacter xylinum) to enhance dermal fibroblast cells' attachment. Two different approaches were used in BC based nanocomposite production: in situ and post modifications. BC/keratin nanocomposites were characterized using SEM, FTIR, EDX, XRD, DSC and XPS analyses. Both production methods have yielded successful results for production of BC based nanocomposite-containing keratin. In vitro cell culture experiments performed with human skin keratinocytes and human skin fibroblast cells indicate the potential of the novel BC/keratin nanocomposites for use in skin tissue engineering. (C) 2017 Elsevier B.V. All rights reserved.
Citation - WoS: 5
Optimizing the Impact of Health and Related Programmes / Policies To Address the Issue of Childhood Obesity in India- Narrative Review
(Wolters Kluwer Medknow Publications, 2021) Bera, Om Prakash; Saleem, Sheikh Mohd; Singh, Dhananjay Kumar; Gokdemir, Ozden; Tripathi, Shailesh; Ghatak, Nishantadeb; Hossain, Md Mahbub
Non-communicable diseases are already acknowledged as a double burden, and now childhood obesity is putting extra strain on our health system. The current paper aimed to analyze the ongoing health and related programmes/policies in India, and we discussed the existing opportunities in the programmes to address the issue of childhood obesity in India. We searched the MEDLINE, PsycINFO, Scopus, Web of Science, and Google Scholar databases using the following keywords: (overweight) and (obesity), (childhood obesity), (nutritional programmes in India), (Health policies in India), (malnourished children in India) in combination with each other and in truncated form. All the relevant articles and policy documents (MOHFW, INDIA) available in the public domain were included to support the argument for this narrative review. We found that we have programme gaps like guidelines issues by Food Safety Standards Authority of India to tackle childhood obesity and it has not been strictly implemented due to multiple reasons. School health programme has an opportunity to address the issue of childhood obesity, but at the ground level the outcomes are not very promising. The National Nutrition Mission have only focussed on undernutrition and anemia problem, ignoring the overweight/childhood obesity. Primary care physicians are key players in the treatment of childhood obesity, yet rates of obesity management in the primary care setting are low. National Programme for prevention & Control of Cancer, Diabetes, Cardiovascular Diseases & stroke is dealing with health promotion and prevention, early diagnosis, and management of all ages, except children. Diet provided in Integrated Child Development Scheme is calculated based on calories, not by the quality which is a concern to us. The breastfeeding promotion programme named Mothers Absolute Affection programme has not been implemented with letter and spirit. Other than health programmes, we assume that Ministry of Urban Planning, Foreign Direct Investment policy, Advertisement Council of India and many more sector/policy/programme are indirectly responsible for the increasing burden of childhood obesity in India. Lack of awareness and wrong perception also responsible for the development of childhood obesity. We have multiple National Health Programmes and Policies to address the childhood malnutrition, but are focussing the undernutrition component only, ignoring overnutrition problem in the children, which is emerging as quadruple burden to our health system. Appropriate actions and inclusion of suggestions provided in this study for the improvement of the programmes at the practical level needs to be considered by the policy makers to halt the ever-rising trend of childhood obesity and primary care physicians should play a leadership role.

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