Araştırma Çıktıları / Research Outputs

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Aberrant socs3 promoter methylation as a noninvasive diagnostic biomarker for locally advanced prostate cancer;
(Logos Medical Publishing, 2020) Demircan Tan,B.; Turan,T.; Yucel,B.; Altundag Kara,S.; Salman Yilmaz,S.; Yildirim,A.
Objective: The aim of this study was to investigate the promoter methylation status of Rasassociated domain family 1A (RASSF1A), O-6-methylguanine-DNA methyltransferase (MGMT), Phosphatase with tensin homology (PTEN) and Suppressor of cytokine signaling 3 (SOCS3) tumor suppressor genes and evaluate the clinical utility of these genes as noninvasive, bloodbased epigenetic biomarkers for the diagnosis of Prostate Cancer (PCa). Method: A total of 41 consecutive patients and 10 healthy control groups were enrolled in the study. Pyrosequencing was performed to analyze the methylation levels of the promoter regions of the four tumor suppressor genes in patients compared to healthy controls. Results: The promoter methylation levels of RASSF1A, MGMT, PTEN and SOCS3 did not differ between the patient and control groups. However, SOCS3 promoter methylation level was significantly higher for patients having locally advanced PCa compared to those having localized PCa (p<0.05). Conclusion: Our results indicated that SOCS3 could be a useful, noninvasive blood-based epigenetic biomarker for the diagnosis of locally advanced PCa. © Istanbul Medeniyet University Faculty of Medicine.
Abstract Differential Equations with VMO Coefficients in Half Space and Applications
(Springer Basel Ag, 2016) Shakhmurov, Veli
In this paper, L (p) -separability properties of boundary value problems for elliptic and parabolic differential-operator equations with VMO coefficients are studied in half plane. In application, the maximal regularity properties of the anisotropic elliptic equation and system of equations with VMO coefficients are derived.
Abstract elliptic operators appearing in atmospheric dispersion
(Springeropen, 2014) Shakhmurov, Veli B.; Sahmurova, Aida
In this paper, the boundary value problem for the differential-operator equation with principal variable coefficients is studied. Several conditions for the separability and regularity in abstract L-p-spaces are given. Moreover, sharp uniform estimates for the resolvent of the corresponding elliptic differential operator are shown. It is implies that this operator is positive and also is a generator of an analytic semigroup. Then the existence and uniqueness of maximal regular solution to nonlinear abstract parabolic problem is derived. In an application, maximal regularity properties of the abstract parabolic equation with variable coefficients and systems of parabolic equations are derived in mixed L-p-spaces.
Abstract elliptic operators appearing in atmospheric dispersion (vol 2014, pg 43, 2014)
(Springer international Publishing Ag, 2014) Shakhmurov, Veli B.; Sahmurova, Aida
[No Abstract Available]
Adaptation of an Activity Theory Framework for Effective Online Learning Experiences: Bringing Cognitive Presence, Teaching Presence, and Social Presence to Online Courses
(The Online Learning Consortium, 2023) Gogus,A.
Offering online courses can be seen as a way of enhancing the three essential “presences” (teaching, cognitive, and social) of the Community of Inquiry (CoI) model. Creating and enhancing cognitive, teaching, and social presences require an innovation for teachers during planning, implementing, and evaluating their online courses. As teachers develop their own expertise in teaching online, they contribute to the enhancement of cognitive, teaching, and social presences for effective online learning. The present conceptual study provides a review of the models presented previously and develops a complete model for effective online learning experience by adapting the Activity Theory within the context of online learning management. The study discusses a framework developed to adapt the Activity Theory for the design, development, implementation, and evaluation of online courses to enhance the cognitive, teaching, and social presences within complex cognitive tasks so that the learning outcomes of the course, as well as the required qualifications of higher education, can be reached. © 2023, The Online Learning Consortium. All rights reserved.
Adaptation of an Activity Theory Framework for Effective Online Learning Experiences: Bringing Cognitive Presence, Teaching Presence, and Social Presence to Online Courses
(online Learning Consortium, 2023) Gogus, Aytac
Offering online courses can be seen as a way of enhancing the three essential "presences" (teaching, cognitive, and social) of the Community of Inquiry (CoI) model. Creating and enhancing cognitive, teaching, and social presences require an innovation for teachers during planning, implementing, and evaluating their online courses. As teachers develop their own expertise in teaching online, they contribute to the enhancement of cognitive, teaching, and social presences for effective online learning. The present conceptual study provides a review of the models presented previously and develops a complete model for effective online learning experience by adapting the Activity Theory within the context of online learning management. The study discusses a framework developed to adapt the Activity Theory for the design, development, implementation, and evaluation of online courses to enhance the cognitive, teaching, and social presences within complex cognitive tasks so that the learning outcomes of the course, as well as the required qualifications of higher education, can be reached.
Adaptation of Ventilation Strategies From Acute RDS To Severe BPD: a National Multicenter Survey of Practices in Extremely Preterm Infants
(Lippincott Williams & Wilkins, 2025) Akyildiz, Can; Tuzun, Funda; Duman, Nuray; Akcan, Abdullah Baris; Alp Unkar, Zeynep; Aygun, Canan; Ozkan, Hasan
Advances in diagnostic and therapeutic methods have led to a paradigm shift in the management of bronchopulmonary dysplasia (BPD). The lack of evidence-based data in this area has led to variations in clinical practice. The aim of this study was to identify these differences and compare them with recommendations based on pathophysiology. The study was designed as an observational online survey of neonatologists from level 3 to 4 neonatal intensive care units caring for premature infants at increased risk of BPD and born before 28 weeks' gestation. Respondents were invited to participate in the study through the portal of the Turkish Neonatal Society. Participants were surveyed online about preferred ventilation modes, settings and clinical management of these patients through each respiratory distress syndrome, evolving BPD and severe BPD phases. A total of 39 centers involved in the study. Pressure-control assist-control volume-guaranteed was the most commonly preferred ventilation mode in respiratory distress syndrome and evolving BPD, while high frequency oscillatory ventilation was most commonly used in severe BPD. The use of synchronized intermittent mandatory ventilation volume-guaranteed pressure support ventilation increased with disease progression. Ventilation settings were found to be changed according to pathophysiological recommendations, but not to the extent recommended. The study shows that early ventilation strategies are predominantly maintained in the later phases of BPD, although there are notable differences between centers.
Adhesion of conventional and self-adhesive resin cements to indirect resin composite using different surface conditioning methods
(Taylor & Francis Ltd, 2017) Cilingir, Aylin; Bilhan, Hakan; Cilingir, Altug; Gomec, Yavuz; Ozcan, Mutlu
This study evaluated the adhesion of conventional and self-adhesive resin cements to indirect resin composite (IRC) using different surface conditioning methods. Cylindrical IRC specimens (N=192) were randomly assigned to four surface conditioning methods (n=8 per group): (a) Control group, (b) Hydrofluoric acid, (c) Tribochemical silica-coating, and (d) 50m Al2O3 air-abrasion. Specimen surfaces were finished using silicon carbide papers up to 600 grit under water irrigation, rinsed and dried. Direct composite blocks were bonded to IRC specimens using three conventional resin cements (Multilink, Panavia F2.0, and Resicem) and three self-adhesive resin cements (RelyX U100, Gcem, Speed Cem). Specimens were subjected to shear bond strength test in a Universal Testing Machine (0.5mm/min). Failure types were categorized as mixed, adhesive and cohesive. Data were analyzed using 2-way ANOVA and Tukey's tests. Two-parameter Weibull modulus, scale (m) and shape (0) were calculated. The bond strength results (MPa) were significantly affected by the surface conditioning method (p<0.0001) and cement type (p<0.001). For Panavia F2.0, Resicem, air-abrasion with 50m Al2O3 significantly increased the results (22.6 +/- 6.5, 26.2 +/- 6.5, respectively) compared to other conditioning methods (13.6 +/- 1.4-21.9 +/- 3.1) but for Multilink, hydrofluoric acid etching (20.5 +/- 3.5) showed significantly higher results (p<0.01). For the self-adhesive resin cements, air-abrasion with 50m Al2O3 significantly increased the results compared to other conditioning methods, except for RelyX U100 (p<0.05). After air-abrasion with Al2O3, Gcem, (11.64), RelyX U100 (9.05), and SpeedCem (8.29) presented higher Weilbul moduli. Exclusively cohesive failure in the IRC was observed with RelyX U100 and Speedcem after Al2O3 air-abrasion.
An advanced scheme based on artificial intelligence technique for solving nonlinear riccati systems
(Springer Heidelberg, 2024) Admon, Mohd Rashid; Senu, Norazak; Ahmadian, Ali; Majid, Zanariah Abdul
Recently, one artificial intelligence technique, known as artificial neural network (ANN), has brought advanced development to the arena of mathematical research. It competes effectively with other traditional methods in providing accurate solutions for fractional differential equations (FDEs). This work aims to implement a feedforward ANN with two hidden layers to solve nonlinear systems based on the fractional Riccati differential equation (FRDE). The network parameters are trained using the Adam optimization method with the aid of automatic differentiation. A vectorization algorithm is designated for the selected step to make the computation process more efficient. Two different initial value problems in integer-order derivatives and fractional-order derivatives are discussed. Numerical results demonstrate that the proposed method not only closely matches the exact solutions and reference solutions but also is more accurate than other existing methods.
Advances in Phototheranostic Agents: From Imaging To Targeted Therapy
(Elsevier Sci Ltd, 2025) Samadzadeh, Meisam; Khosravi, Arezoo; Zarepour, Atefeh; Noei, Hadi; Sivakumar, Ponnurengam Malliappan; Iravani, Siavash; Zarrabi, Ali
The recent evolution of phototheranostic agents represents a groundbreaking intersection of diagnostic imaging and targeted therapy, particularly in oncology. This review aims to elucidate the recent advances in phototheranostic agents, highlighting their dual functionality in imaging and targeted therapy. Despite significant progress, several challenges persist, including the optimization of agent specificity, light penetration in tissues, and the potential for off-target effects. The variability in tumor microenvironments presents a significant obstacle, complicating the development of universal phototheranostic agents. Moreover, concerns regarding the long-term stability, potential toxicity, and biocompatibility of these agents necessitate thorough evaluation and optimization. Notably, the complexity of designing nanoparticles that can effectively deliver both imaging and therapeutic modalities poses additional hurdles. Future perspectives in this field emphasize the need for innovative strategies to enhance agent stability, biocompatibility, and targeted delivery. Furthermore, ongoing research focuses on the development of novel light-based techniques and the exploration of combination therapies to improve treatment efficacy. By addressing these challenges, the potential of phototheranostic agents to transform personalized cancer therapy becomes increasingly promising. This review serves as a comprehensive overview of the current landscape, challenges, and future directions in phototheranostic research, ultimately aiming to inform and inspire further investigation in this dynamic field.
Advancing dentistry: fractal assessment of bone health in pediatric patients with celiac disease using dental images
(Quintessence Publishing Co inc, 2023) Bulut, Muge; Tokuc, Muge; Aydin, Merve Nur; Civan, Hasret Ayyildiz; Polat, Esra; Dogan, Guzide; Beser, Omer Faruk
Objectives: To assess the effects of a gluten-free diet on bone structure in children with celiac disease using fractal analysis on panoramic radiographs. Method and materials: A total of 49 patients with celiac disease aged 6 to 13 years, separated into two groups as previously and newly diagnosed, and a control group of 32 healthy individuals were evaluated. In previously and newly diagnosed patients with celiac disease, body mass index Z-scores were calculated, calcium, alkaline phosphatase, vitamin D3, and parathormone levels were measured, and bone mineral density Z-scores were obtained from dual energy x-ray absorpti-ometry. In all patients, the fractal dimensions of the right and left temporomandibular condyles were evaluated with the fractal analysis method on panoramic radiographs. Results: The mean values of serum biomarker levels and the body mass index and bone mineral density Z-scores for both celiac groups were within the normal reference range. No statistically significant difference was determined between right and left condyle fractal dimen-sions values in the three groups examined. In terms of both right and left condyle fractal dimensions values, there was a statis-tically significant difference between groups. The highest fractal dimensions values were determined in the previously diagnosed group. Conclusions: Differences in fractal dimensions values were observed among patients with celiac disease following the glu-ten-free diet. Utilizing fractal analysis on panoramic radiographs can prove valuable for dental practitioners in evaluating bone min-eral density due to its cost-effect iveness, easy accessibility, and reduced radiation exposure for patients, enabling them to provide comprehensive oral health care and potential early interventions for patients with celiac disease. (Quintessence Int 2023;54: 822-831; doi:
Advancing Micromixing Techniques: the Role of Surface Acoustic Waves and Fluid–structure Interaction in Non-Newtonian Fluids
(Springer Science and Business Media Deutschland GmbH, 2025) Faradonbeh, V.R.; Salahshour, S.; Toghraie, D.
This study numerically investigated the enhancement of micromixing efficiency through integrating surface acoustic waves (SAWs) and hyper-elastic channel walls, modeled using a power-law fluid representative of human blood flow. The governing equations are systematically divided into zeroth, first, and second orders based on perturbation theory. This facilitates the development of a fully coupled two-way fluid–structure interaction (FSI) framework implemented via the Arbitrary Lagrangian–Eulerian (ALE) method. The combination of SAWs and hyper-elastic materials demonstrated a marked improvement in mixing efficiency, increasing from 0 to 0.99, alongside a significant reduction in pressure drop within the microchannel. The interaction between SAWs and the deformable walls induces localized instabilities and shear stresses that effectively disrupt the laminar flow, promoting enhanced mixing. The study highlights the critical role of hyper-elastic walls in modulating normal forces on the fluid and reducing pressure drop, offering insights into the interaction between fluid viscosity, acoustic pressure fields, and flow dynamics. These findings provide a framework for designing micromixers with optimized efficiency and reduced channel length, offering practical advancements in microfluidic systems. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.
Advancing personalized medicine: Integrating statistical algorithms with omics and nano-omics for enhanced diagnostic accuracy and treatment efficacy
(Elsevier, 2024) Coskun, Abdurrahman; Ertaylan, Gokhan; Pusparum, Murih; Van Hoof, Rebekka; Kaya, Zelal Zuhal; Khosravi, Arezoo; Zarrabi, Ali
Medical laboratory services enable precise measurement of thousands of biomolecules and have become an inseparable part of high-quality healthcare services, exerting a profound influence on global health outcomes. The integration of omics technologies into laboratory medicine has transformed healthcare, enabling personalized treatments and interventions based on individuals' distinct genetic and metabolic profiles. Interpreting laboratory data relies on reliable reference values. Presently, population-derived references are used for individuals, risking misinterpretation due to population heterogeneity, and leading to medical errors. Thus, personalized references are crucial for precise interpretation of individual laboratory results, and the interpretation of omics data should be based on individualized reference values. We reviewed recent advancements in personalized laboratory medicine, focusing on personalized omics, and discussed strategies for implementing personalized statistical approaches in omics technologies to improve global health and concluded that personalized statistical algorithms for interpretation of omics data have great potential to enhance global health. Finally, we demonstrated that the convergence of nanotechnology and omics sciences is transforming personalized laboratory medicine by providing unparalleled diagnostic precision and innovative therapeutic strategies.
Ag and Al2o3/Water Two-Phase Transient Flow Analysis in a Double-Pipe Heat Exchanger Equipped With Baffles and Rotating Inner Tube
(Elsevier Ltd, 2025) Al-Saad, M.; Ali, A.B.M.; Al-Mosallam, M.; Fares, M.N.; Fazilati, M.A.; Salahshour, S.; Sabetvand, R.
Considering the wide application of double-pipe heat exchanger made their performance improvement very important. Employing aqueous nanofluid (NF) of Ag and Al2O3 as the working fluid inside the inner tube of the heat exchanger and its rotation as the respective passive and active enhancing methods are investigated numerically using the two-phase mixture method. The sensitivity analysis was performed to reveal the effect of Reynolds (Re) number, NF concentration and tube rotational speeds on heat transfer coefficient, heat transfer effectiveness, and efficiency ratio. The Re number, NF concentration, and rotation speed lie in 1000-3000, 0–4 %, and 300–500 rpm, respectively. The results show the higher improving effect of Ag rather than Al2O3 nanoparticle; for Re = 1000, 1500 and 2000 the efficiency ratio averaged between different concentrations are 39 %, 30 %, 20 % for Al2O3/water and 62 %, 65 % and 26 % for Ag/water NFs, respectively. By increasing the Re number, the enhancing effect of velocity increment on heat transfer rate prevails and hinders that of employing NF. Also, in rotating mode, the enhancement made by increasing the Re number is higher in the rotation speed of 500 rather than 300 rpm. The overall change of efficiency ratio versus the Re number increment is decreasing and the greatest improving effect of using NF is for the lowest Re numbers. Also, the enhancement due to increasing the Re number increment is higher at a rotational speed of 500 rather than 300 rpm. © 2025 The Authors
Aging Changes of the Superficial Fat Compartments of the Midface Over Time: A Magnetic Resonance Imaging Study
(Lippincott Williams & Wilkins, 2020) Cenkeri, Halime Cevik; Guduk, Sukran Sarigul; Cicek, Esin Derin
BACKGROUND Studies involving superficial facial fat compartments are few in number with conflicting results. Most of them involved small study groups and compared measurements between different populations of young and old subjects either on cadavers or living subjects. OBJECTIVE To clarify volumetric and dimensional changes in midfacial superficial fat compartment retrospectively in patients who underwent a repeat magnetic resonance imaging (MRI) without gross pathology. MATERIALS AND METHODS A total of 70 patients with a mean age of 60 years (range: 33-82 years) and a median elapsed time of 44.5 months (range: 32-64 months) between 2 MRIs were included. Magnetic resonance imaging scans were analyzed in the axial and sagittal planes to obtain measurements of the medial part of the superficial cheek fat. Superficial cheek fat was divided into 3 compartments. Thickness, width, and height were measured, and volumes were calculated for each compartment on both hemifaces. RESULTS Volume and thickness were decreased significantly in all compartments (p < .05). The width was decreased in superior and middle compartments, whereas increased in lower compartment indicating dislocation of the fat tissue (p < .05). Height was also significantly increased (p < .05). A subgroup analysis has shown that there was no significant difference between men and women. CONCLUSION This study clarifies that aging is associated with a significant decrease in superficial midfacial fat tissue volume and thickness both in women and men. The decrease in width in upper and middle compartments, but increase in lower compartment suggests a volume shift within superficial fat tissue.
AI-Assisted Floor Plan Design Incorporating Structural Constraints
(Birkhauser, 2025) Okuyucu, Elif Bahar; Öztürk Kösenciĝ, Kamile
Automatic layout generation studies remain limited in their ability to ensure structural continuity in floor plans. In response, this study considers structural schema as a design constraint. Generative Adversarial Network algorithms for image-to-image translation were utilised to generate floor plans. The dataset, consisting of 552 housing floor plans with structural layouts, was labelled and trained to generate house plan alternatives to assist the interior layout design process in early design phases. The dataset was trained with the machine-learning algorithms Pix2Pix and BicycleGAN. The comparative evaluation of the results using Learned Perceptual Image Patch Similarity indicates that BicycleGAN performs better than Pix2Pix, and the suggested workflow is quite promising. However, the lack of circulation areas was identified as a common limitation in both models. This workflow also has the potential to be used for renovation purposes. © 2025 Elsevier B.V., All rights reserved.
Alterations in right ventricular mechanics in patients with Behcet's disease
(Springer, 2022) Dinc Asarcikli, Lale; Saritas, Fatih; Guvenc, Tolga Sinan; Can, Fatma; Sert, Sena; Cetin Guvenc, Rengin; Unal, Sennur
Manifest myocardial involvement is somewhat rare in patients with Behcet's disease (BD), although echocardiographic studies suggest that subclinical alterations in left ventricular (LV) contractility is rather common. Data on right ventricular (RV) involvement in BD is rather scarce. This study aims to determine whether RV systolic performance is affected in BD patients, and to understand the clinical and echocardiographic correlates of RV contractility in these patients. Forty-five patients who fulfilled criteria for BD and 45 age and gender matched controls were enrolled. All participants underwent a comprehensive echocardiographic examination, including deformation imaging, to characterize RV mechanics. Conventional morphologic and echocardiographic indicators of RV morphology and function were not different between groups, but RV apical strain and RV free wall strain (FWS) were significantly lower in BD patients as compared to the controls (P < 0.001 and P = 0.02, respectively). The only significant correlates of FWS were tricuspid regurgitation velocity and related indices in healthy controls, while FWS correlated with LV global longitudinal strain (GLS), morphologic measures of left and right atria and ventricles, and with conventional measures of right ventricular contractility. The relationship between FWS and GLS remained statistically significant after adjusting for other clinical and echocardiographic parameters (beta = 0.379, P = 0.01). In patients with BD, there is a subclinical alteration in RV contractility and the degree of alteration in the RV systolic performance paralleled that of LV. Thus, present results support the presence of RV involvement in these patients.
Amelioration of propionic acid-induced autism spectrum disorder in rats through dapagliflozin: The role of IGF-1/IGFBP-3 and the Nrf2 antioxidant pathway
(Pergamon-elsevier Science Ltd, 2024) Erdogan, Mumin Alper; Nesil, Pemra; Altuntas, Ilknur; Sirin, Cansin; Uyanikgil, Yigit; Erbas, Oytun
The biological effects of dapagliflozin, a sodium-glucose cotransporter-2 (SGLT2) inhibitor, reveal its antioxidant and anti-inflammatory properties, suggesting therapeutic benefits beyond glycemic control. This study explores the neuroprotective effects of dapagliflozin in a rat model of autism spectrum disorder (ASD) induced by propionic acid (PPA), characterized by social interaction deficits, communication challenges, repetitive behaviors, cognitive impairments, and oxidative stress. Our research aims to find effective treatments for ASD, a condition with limited therapeutic options and significant impacts on individuals and families. PPA induces ASD-like symptoms in rodents, mimicking biochemical and behavioral features of human ASD. This study explores dapagliflozin's potential to mitigate these symptoms, providing insights into novel therapeutic avenues. The findings demonstrate that dapagliflozin enhances the activation of the nuclear factor erythroid 2-related factor 2 (Nrf2) antioxidant pathway and increases levels of neurotrophic and growth factors such as brainderived neurotrophic factor (BDNF), insulin-like growth factor-1 (IGF-1), and insulin-like growth factorbinding protein-3 (IGFBP-3). Additionally, dapagliflozin reduces pro-inflammatory cytokines, including tumor necrosis factor-alpha (TNF-alpha) and interleukin-17 (IL-17), and decreases the oxidative stress marker malondialdehyde (MDA). Dapagliflozin's antioxidant properties support cognitive functions by modulating apoptotic mechanisms and enhancing antioxidant capacity. These combined effects contribute to reducing learning and memory impairments in PPA-induced ASD, highlighting dapagliflozin's potential as an adjunctive therapy for oxidative stress and inflammation-related cognitive decline in ASD. This study underscores the importance of exploring new therapeutic strategies targeting molecular pathways involved in the pathophysiology of ASD, potentially improving the quality of life for individuals affected by this disorder.
Amine-functionalized mesoporous silica nanoparticles decorated by silver nanoparticles for delivery of doxorubicin in breast and cervical cancer cells
(Elsevier, 2024) Ghobadi, Melika; Salehi, Saeideh; Ardestani, Mohammad Taha Salmanifard; Mousavi-Khattat, Mohammad; Shakeran, Zahra; Khosravi, Arezoo; Zarrabi, Ali
Nanocarriers have demonstrated promising potential in the delivery of various anticancer drugs and in improving the efficiency of the treatment. In this study, silver nanoparticles (AgNPs) were green-synthesized using the extracts of different parts of the pomegranate plant, including the peel, flower petals, and calyx. To obtain the most efficient extract used for the green synthesis of AgNPs, all three types of synthesized nanoparticles were characterized. Then, (3-Aminopropyl) triethoxysilane-functionalized mesoporous silica nanoparticles (MSNs-APTES) decorated with AgNPs were fabricated via a one-pot green-synthesis method. AgNPs were directly coated on the surface of MSNs-APTES by adding pomegranate extract enriched with a source of reducing agent leading to converting the silver ion to AgNPs. The MSN-APTES-AgNPs (MSNs-AgNPs) have been thoroughly characterized using nanoparticle characterization techniques. In addition, DNA cleavage and hemolysis activities of the synthesized nanoparticles were analyzed, confirming the biocompatibility of synthesized nanoparticles. The Doxorubicin (DOX, as a breast/cervical anti-cancer drug) loading (42.8%) and release profiles were investigated via UV-visible spectroscopy. The fibroblast, breast cancer, and cervical cancer cells' viability against DOX-loaded nanoparticles were also studied. The results of this high drug loading, uniform shape, and small functionalized nanoparticles demonstrated its great potential for breast and cervical cancer management.
Analysis of cable structures through energy minimization
(Techno-press, 2017) Toklu, Yusuf Cengiz; Bekdas, Gebrail; Temur, Rasim
In structural mechanics, traditional analyses methods usually employ matrix operations for obtaining displacement and internal forces of the structure under the external effects, such as distributed loads, earthquake or wind excitations, and temperature changing inter alia. These matrices are derived from the well-known principle of mechanics called minimum potential energy. According to this principle, a system can be in the equilibrium state only in case when the total potential energy of system is minimum. A close examination of the expression of the well-known equilibrium condition for linear problems, P=K Delta, where P is the load vector, K is the stiffness matrix and A is the displacement vector, it is seen that, basically this principle searches the displacement set (or deformed shape) for a system that minimizes the total potential energy of it. Instead of using mathematical operations used in the conventional methods, with a different formulation, meta-heuristic algorithms can also be used for solving this minimization problem by defining total potential energy as objective function and displacements as design variables. Based on this idea the technique called Total Potential Optimization using Meta-heuristic Algorithms (TPO/MA) is proposed. The method has been successfully applied for linear and non-linear analyses of trusses and truss-like structures, and the results have shown that the approach is much more successful than conventional methods, especially for analyses of nonlinear systems. In this study, the application of TPO/MA, with Harmony Search as the selected meta-heuristic algorithm, to cables net system is presented. The results have shown that the method is robust, powerful and accurate.

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