Scopus İndeksli Yayınlar / Scopus Indexed Publications
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Publication Open Access Semi-Quantitative Chemometric Models for Characterization of Mixtures of Sugars Using Infrared Spectral Data(Elsevier B.V., 2024) Brito, Anna Luiza B.; Cardoso, Inês F.; Viegas, Luís P.; FAUSTO, RUISugars (saccharides) are sweet-tasting carbohydrates that are abundant in foods and play very important roles in living organisms, particularly as sources and stores of energy, and as structural elements in cellular membranes. They are desirable therapeutic targets, as they participate in multiple metabolic processes as fundamental elements. However, the physicochemical characterization of sugars is a challenging task, mostly due to the structural similarity shared by the large diversity of compounds of this family. The need for fast, accurate enough, and cost-effective analytical methods for these substances is of extreme relevance, in particular because of the recently increasing importance of carbohydrates in Medicine and food industry. With this in view, this work focused on the development of chemometric models for semi-quantitative analysis of samples of different types of sugars (glucose, galactose, mannitol, sorbose and fructose) using infrared spectra as data, as an example of application of a novel approach, where the Principal Component Analysis (PCA) score plots are used to estimate the composition (weight-%) of the mixtures of the sugars. In these plots, polygonal geometric shapes emerge in the vectorial space of the most significant principal components, that allow grouping different types of samples on the vertices, edges, faces and interior of the polygons according to the composition of the samples. This approach was applied successfully to mixtures of up to 5 sugars and shown to appropriately extract the compositional information from the hyper-redundant complex spectral data. Thought the method has been applied here to a specific problem, it shall be considered as a general procedure for the semi-quantitative analysis of other types of mixtures and applicable to other types of data reflecting their composition. In fact, the methodology appears as an efficient tool to solve three main general problems: (i) use hyper-redundant (in variables) data, as spectral information, directly and with minimum pre-treatment, to evaluate semi-quantitatively the composition of mixtures; (ii) do this for systems which produce data that can be considered rather similar; and (iii) do it for a number of substances present in the mixtures that might be greater than that usually considered in chemistry, which in general is limited to 3 components. In addition, this work also demonstrates that, similarly to the developed analysis based on the PCA score plots, the Multivariate Curve Resolution with Alternating Least Squares (MCR-ALS) chemometric method can also be used successfully for the qualitative (when used without any previous knowledge of the components present in the samples) or semi-quantitative (when the pure components spectral profiles are provided as references) analyses of mixtures of (at least) up to 5 distinct sugars.Publication Open Access Biochemical and Proteomic Analyses in Drought-Tolerant Wheat Mutants Obtained by Gamma Irradiation(MDPI, 2024) Şen, Ayşe; GÜMÜŞ, TAMER; Temel, Aslıhan; Öztürk, İrfan; ÇELİK, ÖZGEThe bread wheat cultivar (Triticum aestivum L. cv. Sagittario) as a parental line and its mutant, drought-tolerant lines (Mutant lines 4 and 5) were subjected to polyethylene glycol (PEG)-induced drought. Drought stress resulted in decreased chlorophyll levels and the accumulation of proline and TBARS, despite increases in activities of catalase, peroxidase, and superoxide dismutase enzymes. Transcription of the genes encoding these enzymes and delta-1-pyrroline 5-carboxylase synthetase was induced by drought. 2-DE gel electrophoresis analysis identified differentially expressed proteins (DEPs) in the mutant lines, which are distinguished by "chloroplast", "mitochondrion", "pyruvate dehydrogenase complex", and "homeostatic process" terms. The drought tolerance of the mutant lines might be attributed to improved photosynthesis, efficient ATP synthesis, and modified antioxidant capacity. In addition to proteomics data, the drought tolerance of wheat genotypes might also be assessed by chlorophyll content and TaPOX gene expression. To our knowledge, this is the first proteomic analysis of gamma-induced mutants of bread wheat. These findings are expected to be utilized in plant breeding studies.Publication Open Access Reversal in Solvatochromism, Photochromism and Thermochromism in a New Bis-azo Dye Based on Naphthalen-1-amine(Elsevier B.V., 2024) Sıdır, İsa; Kara, Yunus Emre; Sıdır, Yadigar Gülseven; Berber, Halil; FAUSTO, RUIA novel bis-azo dye, 4,4′-((1E,1′E)-(oxybis(4,1-phenylene))bis(diazene-2,1-diyl))bis(naphthalen-1-amine) (abbreviated as 4odna) was synthesized and characterized by IR and 1H, 13C and 2D COSY-NMR spectroscopies, and mass spectrometry. Optical properties were evaluated using UV–vis absorption spectroscopy. The observed solvatochromism was ascribed to the presence of different azo or/and hydrazone forms in solution. The azo forms show both positive and negative solvatochromism, with the reversal occurring for solvents with ET(30) ∼45 kcal mol−1, while the hydrazone tautomer shows negative solvatochromism. Application of the multiparametric Catalán and Kamlet-Taft linear solvation energy models allowed to evaluate the dependence of the solvatochromism exhibited by 4odna on the hydrogen bond donating (HBD) and accepting (HBA) abilities of the solvent, as well as on their dipolarity (SdP) and polarizability (SP). Upon UV (λ = 311 nm) irradiation at room temperature, the compound was found to exhibit similar photochromic behavior in the polar-protic solvents methanol and ethanol, which is distinct from that observed in the polar-aprotic solvents dichloromethane, chloroform and chlorobenzene, with the hydrazone tautomer being photoconverted into the azo tautomer in the first group of solvents and vice-versa in the second group. In acetone, UV irradiation extensively transforms the compound into species with no absorption in the visible range, leading to fast discoloration of the solution. Temperature dependence of the color of the solutions of 4odna in ethanol and chlorobenzene was also evaluated, and reversible thermochromic behavior was observed in the first solvent. In chlorobenzene, no thermochromism was observed, but a change of color of the solution was promptly induced by the UV–vis broadband source beam of the spectrometer when the absorbance spectrum of the solution was being recorded at T = 115 °C, which demonstrates that the azo forms of 4odna undergo easy phototransformation into the hydrazone forms in this solvent at high temperature. © 2023 Elsevier B.V.Publication Metadata only Analyzing the Operations at a Textile Manufacturer’s Logistics Center Using Lean Tools(Springer Science and Business Media Deutschland GmbH, 2024) GÜNAY, AHMET CAN; ÖZBEK ,ONUR; MUTLU, FİLİZ; AKTİN, AYŞE TÜLİNCompliance with delivery times is crucial for businesses in the logistics sector. Numerous research has been conducted to improve distribution performance. Many of these studies touch on lean production as well. The strategies used in lean manufacturing are often employed by businesses and have a positive impact on performance. This study focuses on the overseas shipping department of a textile company’s logistics center. Workflow starts with product acceptance from manufacturers and ends with shipment to customers abroad. After a thorough examination, some bottlenecks that increase delivery times are observed. Value Stream Mapping (VSM), which is a lean manufacturing technique, is chosen as the main method to be used. It aims to determine value added and non-value-added activities, resulting in minimizing or eliminating the non-value-added ones. Initially, necessary data are gathered through workshops and interviews, and observations on Current State VSM are made. During these workshops, various improvements are proposed and evaluated together with the company’s engineers. After takt time and cycle time calculations, label change station is identified as the bottleneck. In the next step, Kaizens are suggested for the stations, and some lean techniques are employed to solve different workflow problems. Finally, short-term applicability of proposed improvements is discussed, and Future State VSM is drawn. It can be concluded that significant improvements are achieved especially in lead time, changeover time, productivity rate and production speed. By reducing or eliminating non-value-added activities and identifying deficiencies that slow process flow, a standard, sustainable and developable process is proposed to the company. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.Publication Restricted Load Frequency Control in Smart Grids: A Review of Recent Developments(Elsevier Ltd., 2024) Wadi, Mohammed; Shobole, Abdulfetah; ELMASRY, WİSAM; Küçük, İsmailThis study provides a comprehensive and fresh review of load frequency control (LFC) in multi-area interconnected power systems (MAIPSs). The central tasks of LFC are to keep frequency variations as minimum as possible to achieve an acceptable level of stability. This research provides a complete view, from early classical control to recent technologies and modern techniques considering strategies, robust, optimal, self-tuning, and adaptive controllers for LFC in MAIPSs. Fuzzy control and earlier and recent optimization algorithms also are analyzed. The linearity, nonlinearity, and uncertainty of LFC models are also investigated. This review emphasizes recent technological advances and novel control strategies. LFC is also considered with the integration of wind, photovoltaic, electric vehicles, and storage devices. Besides, the utilization of machine learning and reinforcement techniques is examined. Further, LFC in smart grids and modern complex power systems concerning limited communication bandwidth, communication failure, and cyber-attacks are also investigated. This review provides an in-depth and detailed diagnosis of the challenges associated with LFC in modern and complex power systems. This work may be valuable for studies and practitioners interested in LFC. It, in detail, investigates future efforts and directions to enhance LFC performance, stability, and reliability in the face of increasing complexity and uncertainty. © 2023 Elsevier LtdPublication Metadata only Turkish Sign Language Recognition Using a Fine-Tuned Pretrained Model(Springer Science and Business Media Deutschland GmbH, 2024) ÖZGÜL, GİZEM; DERDİYOK, ŞEYMA; AKBULUT, FATMA PATLARMany members of society rely on sign language because it provides them with an alternative means of communication. Hand shape, motion profile, and the relative positioning of the hand, face, and other body components all contribute to the uniqueness of each sign throughout sign languages. Therefore, the field of computer vision dedicated to the study of visual sign language identification is a particularly challenging one. In recent years, many models have been suggested by various researchers, with deep learning approaches greatly improving upon them. In this study, we employ a fine-tuned CNN that has been presented for sign language recognition based on visual input, and it was trained using a dataset that included 2062 images. When it comes to sign language recognition, it might be difficult to achieve the levels of high accuracy that are sought when using systems that are based on machine learning. This is due to the fact that there are not enough datasets that have been annotated. Therefore, the goal of the study is to improve the performance of the model by transferring knowledge. In the dataset that was utilized for the research, there are images of 10 different numbers ranging from 0 to 9, and as a result of the testing, the sign was detected with a level of accuracy that was equal to 98% using the VGG16 pre-trained model. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.Publication Metadata only Investigation Procedure for the Diagnosis of Historical Minarets: Inclined Minaret of Sivas Ulu Cami (Mosque)(Springer Science and Business Media Deutschland GmbH, 2024) İNCİ, PINAR; Halici, O.F.; Demir, C.; CÖMERT, MUSTAFA; Aldirmaz, B.; Coban, S.; Kiraz, F.; Kuran, F.; Berlucchi, N.; Iyisan, R.; Ilki, A. cThe inclined minaret of Sivas Ulu Cami (Mosque) from the 13th century Danishmend Period is one of the most invaluable architectural heritages in Turkey. The extent of inclination of the minaret towards the North-West direction, the seismicity of the region, and structural damages that occurred in time have emphasized the need for comprehensive structural and geotechnical investigations. Accordingly, a rehabilitation project is currently going on under the coordination of the General Directorate of Foundations of Turkey. Within the scope of the project, first, a series of field surveys have been conducted to obtain the current features of the minaret including the characteristics of the structural system, damages, deviation from the vertical axis, ground conditions and foundation details. In addition to that, a monitoring system including inclinometers, linear potentiometers and accelerometers has been mounted for tracking the evolution of deformations and damages in time under environmental influences and extracting the dynamic properties of the minaret. Findings from the field survey and monitoring system were used for constructing an analytical model of the structural system of the minaret. Then nonlinear time history analyses were conducted under various strong ground motion records to estimate the seismic performance of the minaret when subjected to earthquakes of different characteristics. The results showed that the tensile stresses that occurred due to seismic actions exceeded the tensile strength of the brick masonry at the region of the transition segment and the cylindrical body (top level of the boot). © Tongji University Press 2024.Publication Open Access The Effect of Interferential Currents and Tens on Pain and Functionality in Patients With Chronic Mechanical Low Back Pain(Galenos Publishing House, 2024) Çolak, Tuğba Kuru; Sert, Nihat; Sert, Buse; APTİ, ADNANObjective: This study aimed to compare the effects of interferential current (IFC) and transcutaneous electrical nerve stimulation (TENS) on pain, disability, and flexibility for treating patients with chronic low back pain (CLBP). Materials and Methods: This study included 50 volunteer patients diagnosed with CLBP randomly assigned to IFC and TENS treatment. In addition to electrical stimulation, therapeutic ultrasound, hot packs, and exercise were administered to both groups. All patients underwent 20 sessions of treatment for 4 weeks and 5 days on weekdays. The Numerical Pain Scale, Oswestry Scale (ODI), and sit-and-reach test were used for evaluation. Patients were evaluated 3 times: before treatment, at the 10th session, and after treatment. The paired t-test was used for statistical analysis. Results: Significant improvement was seen in both treatment groups’ pain levels when the levels of pain before and after treatment were compared. Before and after treatment, both groups in the sit-and-reach test and Oswestry evaluation showed a significant improvement (p>0.05). The change in pain and disability scores did not show superiority in the TENS and IFC groups (p>0.05). Only in the sit-and-reach test did the IFC group show significantly more improvement after the 20th session treatment (p=0.026). Conclusion: IFC and TENS should be used in patients with CLBP to control pain and improve function. However, studies with electrical currents determined by different biophysical parameters are needed to determine the superiority of TENS and IFC in terms of treatment outcome measures. ©Copyright 2024 The Author. Published by Galenos Publishing House on behalf of Turkish Spine Society.Publication Open Access Structure Preserving Schemes for Coupled Nonlinear Schrödinger Equation(Institute of Physics, 2024) AKKOYUNLU, CANAN; ŞAYLAN, PELİNThe numerical solution of CNLS equations are studied for periodic wave solutions. We use the first order partitioned average vector field method, the second order partitioned average vector field composition method and plus method. The nonlinear implicit schemes preserve the energy and the momentum. The results show that the methods are successful to get approximation. © 2024 Institute of Physics Publishing. All rights reserved.Publication Metadata only Determining a New Warehouse Location for an Electrical Home Appliances Company(Springer Science and Business Media Deutschland GmbH, 2024) KIZILKAYA, İLAYDA; KEVSER, TOLGAHAN; OFLUOĞLU, HANDE; ÖLÇÜCÜER, FEYZA; DEMİREL, DUYGUN FATİHIn today’s businesses, supply chain management is a critical factor in terms of efficiency, profitability and cost savings. The success of the supply chain is possible with the right management of the rings such as warehousing and logistics activities. Deficiencies in warehouse and logistics management can lead to inefficiencies and errors in the supply chain, which can have negative effects on business profitability and customer satisfaction. Strategic decisions regarding warehouse locations are vital for cost policies. In this study, a warehouse location selection procedure is proposed for an electrical home appliances company considering the distances to the customers, their transaction volumes, and various other costs. The approach is basically a two-stage facility layout problem that first solves a weighted Euclidean minisum model defined on a continuous plane. Then, four alternative locations that are close to the result obtained in the first step are determined. In addition, two lands owned by the firm are added to the set of alternatives. Next, a p-median (1-median) model is solved and the most suitable warehouse location is determined. Through sensitivity analysis, the changes in the solution are searched for various rent values. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.Publication Metadata only Improving Quality Control Applications by Increasing Inspection Efficiency and Decreasing Nonconformance Percentage(Springer Science and Business Media Deutschland GmbH, 2024) YILMAZ, BAŞAK; FIRAT, SENA; CABA, CİHAN; BEŞİR, BERNA; ÜLKÜ, İLAYDAQuality controls are activities to evaluate the level of conformity of product attributes and optimal quality objectives. When 100% inspection is applied in quality control processes, sampling is used because it causes high costs, long control times and product damage. Acceptance sampling, which is a statistical method, determines whether the lot can be accepted or rejected in line with the tests performed on the samples taken from the lot. The acceptance sampling plan depends on multiple factors such as the level used, the degree of control applied, the lot size, and the acceptable quality level. For this reason, the use of standard sampling plans that increase the validity of quality control operations can be expressed. In this paper, acceptance process applications were studied for a the company that demonstrates textile industry studies. In this the company, the control processes entered the products in the batch of different sizes coming from the regulations used for the contract are applied. To determine the acceptance listening, the execution of the lot, the control measurement dimensions entered first, the reasons for the return of the the company’s four product groups and the AQL reports are reviewed, and the statistical evaluations of the quality controls come to an end. Next steps, using ANSI/ASQ Z-1.4, observations suitable for lot sizes and appropriate acceptance-rejection details were determined and compared with the size and decision points of the the company. Cause-effect diagrams do not take into account the reasons that cause the returns to be made so that the possible reasons for the returns can be examined. Finally, according to the results of the sampling, solutions were found to make the dimensions for these reasons. Cause-effect diagrams do not take into account the reasons that cause the returns, so that possible causes of the returns can be examined. Finally, according to the sampling results, solutions were found for sizing for these reasons. It is recommended to taken 50 samples from lot sizes between 281–500, 80 samples from 501–1200 lot sizes, and 125 samples for lot sizes between 1201 and 3200. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.Publication Metadata only Cloud-Based AI Role in Intelligent Pharmaceutical Manufacturing Facilities(Springer Science and Business Media Deutschland GmbH, 2024) DARABSEH, ESRAA; TARHAN, İBRAHİM ETHEMCloud-based Artificial Intelligence (AI) brings advanced computing capabilities into manufacturing facilities without capital expenditures. Cloud AI is capable of assisting turn traditional factories into intelligent factories at low cost. The disruptive innovation of cloud and artificial intelligence equipment in smart factory management leads to increased economic growth and the development of a production pipeline [1]. This article investigates how adopting Cloud-based AI services in intelligent pharmaceutical manufacturing facilities affects the factory’s internal process management. The article uses SWOT/PESTEL analysis to evaluate internal and external factors affecting such facilities based on a case study. In addition, the article uses Minitab to perform linear regression analysis on the case study to determine the outcomes of adopting Cloud-based AI in such factories. The article finds a positive effect of adopting modern technologies, such as Cloud-based AI, on creating a highly efficient production environment, reducing costs, and increasing revenues. However, further investigation is needed to conduct similar research on other pharmaceutical manufacturing facilities of different sizes to understand improved how such implementation affects these facilities. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.Publication Metadata only A Quality Value Stream Mapping Study in a Knitwear Manufacturer(Springer Science and Business Media Deutschland GmbH, 2024) GERGİN, ZEYNEP; KILINÇ, ARDA SEDEN; AKSU, OZAN İBRAHİM; AKALIN, ARDA BURAK; ALBAYRAK, ABDÜLBAKİ; GÜNEŞ, SALİHThe ready-made clothing industry is one of the sectors that has a high share in export and has a direct impact on our country's economy. Today, the increase in production diversity provides consumers with the chance to choose between alternatives and creates competitive environment for businesses that strive to meet consumer needs at the highest level. In other words, being able to quickly meet the customer's desired quality product at the desired price is as important as producing the product. In this case, businesses are faced with a production process that requires low cost, in which the variety of models and the quality of goods increased, by using the existing resources of the enterprises in the most efficient and flexible way. With this motivation, a case study is implemented for Narin Triko which has an important export market share. Great emphasis is placed on quality control procedures in the company as the customers are global brands, and this leads to more handling of a product and additional number of quality controls. While this approach ensures a higher degree of quality, it also slows down production, requires extra labour, increases lead times and generates more waste. Consequently, this study aims to identify the 7 waste items of lean production and make suggestions to reduce as appropriate. A newly proposed method called Quality Value Stream Mapping (QVSM) that integrates quality focus on Value Stream Mapping (VSM) method is applied. QVSM is a model created to address, analyse, visualize, and evaluate specific quality-related problems. It is expected to suggest some changes in the way the processes work and to increase the product quality by determining the process steps that can be improved regarding the reduction of the wastes like, over processing, overproduction, waiting times, work in process, transportations, scrap, rework and inspection costs. The study started by observing and analysing the production process to collect data on flow of information, process and material, and lean wastes. Then the data are processed for drawing the Current State QVSM that integrates quality-related processes such as quality inspections, rework processes and scrapping processes to the VSM showing the lean wastes. Finally, analysing the QVSM and identifying improvements led to drawing the Future State QVSM and proposing the improvement opportunities. Proposed improvements reduced the Non-Value Adding time 42%. Thus, the new lead time would be 13% less than the previous lead time. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.Publication Metadata only The Impact of Value Engineering on Material Selection: An Example from the Construction Industry(Springer Science and Business Media Deutschland GmbH, 2024) TARHAN, İBRAHİM ETHEM; QUFFA, BARAAThe urgent need for Value Engineering has arisen due to the enormous expenditure in the construction industry, which could be reduced by up to 25%. This substantial spending is often accompanied by poor quality, leading to a constant need for reconstruction and maintenance. The methods and concepts of Value Engineering can be applied to address this issue. By using Value Engineering, solutions can be created that fulfil the same functional purpose at a lower cost while maintaining high quality. This can be achieved through an analytical study using a specific approach conducted by a multidisciplinary team to identify and classify the functions that the project performs. Profound methods can then be utilized to find innovative alternatives without compromising the basic requirements and quality. This research is dedicated to demonstrating the methodology of Value Engineering while highlighting its impact on construction projects through a case study: Magrabi Offices in Saudi Arabia. This paper used an organized multidisciplinary methodology to identify the project’s main and secondary functions, then utilized Pareto’s law to identify higher-cost materials. It was proven that finding low-cost equivalent materials could reduce the total price by 23.13%. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.Publication Metadata only An Excel-Based Stock Management System for a Leather Label Manufacturer(Springer Science and Business Media Deutschland GmbH, 2024) UÇUCU, EMİNE; ERASLAN, FATMA BEYZA; KAYMAKLI, ZEYNEB NUR; EMİR, OĞUZ; AKTİN, AYŞE TÜLİNThis paper presents a proposal for an Excel-based digital inventory tracking system to address the operational challenges faced by a leather label manufacturer located in Istanbul, Turkey. The company is currently reliant on manual stock keeping and tracking methods for its leather labels and raw materials, resulting in significant functional difficulties due to the absence of a systematic and efficient inventory tracking system. The proposed system aims to enhance overall productivity and decision-making processes within the company. By implementing the new tracking system, the company can overcome the limitations of manual stock management, leading to improved efficiency and organization in inventory control. Furthermore, the installation of a barcode system is suggested to augment the tracking system’s capabilities, and the profitability of the proposed system is evaluated using three different financial analysis methods. This research contributes to the advancement of inventory management practices and provides valuable insights into the potential benefits of adopting digital solutions for stock control in the leather label industry. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.Publication Metadata only ANNs-Based Prediction Models for Consistency and Compaction Characteristics of Bentonite–Sand Mixtures(Springer Nature, 2024) Yücel, Melda; Akbay Arama, Zülal; GENÇDAL, HAZAL BERRAK; BAŞBUĞ, BEGÜM; SEÇKİN, EDİPThis study is fictionalized with the use of ANNs logic to estimate the compaction parameters of bentonite–sand mixtures. Totally 230 sets of tests were digitized from the nine well-accepted literature sources to specify the grain size, consistency, and compaction parameters of the bentonite–sand mixtures. Matlab R2018a software is used to perform the estimation process of the compaction parameters, and representative expressions were derived to ease the determination process of mixtures. Consequently, the applicability of the suggested expressions has been checked by the determination and comparison of well-known international metric measurements. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.Publication Metadata only Numerical Investigation of the Interacted Behavior of Embankment-Slope System Under Seismic Loading Conditions(Springer Nature, 2024) Akbay Arama, Zülal; Akın, Muhammed Selahaddin; Dalyan, İlknur; GENÇDAL, HAZAL BERRAKIn this study, the integrated effects of the geometrical characteristics of slope and the geotechnical strength properties of clayey foundation soils are investigated, considering the relative distance of the embankment from the slope edge under dynamic loading conditions with performing numerical analysis. In this context, a finite-element-based two-dimensional commercial software is used to perform pseudo-static analysis concerning the consideration of the Samos-İzmir earthquake in October 2020. The outcomes of the studies were evaluated in terms of the determining factor of safety values to interpret the effects of the envisaged variants on stability. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.Publication Open Access In Silico Evaluation of ERQ Bioactive Tripeptide as an Anticancer Agent and an Inhibitor of SARS-CoV-2 Enzymes(Istanbul University Press, 2024) Yılmaz, Gözde; Çelik, Sefa; Özel, Ayşen Erbölükbaş; AKYÜZ, SEVİMObjective: Short peptides play a significant role in exploring drugs with higher selectivity and fewer side effects in cancer and COVID-19 therapies. This study evaluated the anticancer and anti-COVID-19 activities of Glu-Arg-Gln (ERQ) tripeptide for the first time. To discover the potentiality of the tripeptide as an anticancer and as a SARS-CoV-2 inhibitor, molecular docking analysis of ERQ tripeptide with DNA (PDB ID: 1BNA) and a variety of SARS-CoV-2 enzymes, namely. Main protease (PDB IDs: 6M03, 6LU7) and Spike glycoprotein (PDB ID: 6VXX) were performed. Materials and Methods: To determine the binding efficiency of ERQ to target DNA and proteins, molecular docking processes were carried out using the Autodock Vina program. The sorts of bonds and interacting residues in ERQ/DNA and ERQ/protein complexes were determined. Results: Molecular docking simulations of ERQ tripeptide against 1BNA, 6M03, 6LU7, and 6VXX were performed, and the interactions between the docked ligand and target residues were determined. The binding mechanisms of ERQ with the receptors were clarified. The binding affinities of ERQ towards the targets were predicted to be between -6.3 and -6.7 kcal/mol. ERQ showed the highest binding affinity to Spike glycoprotein (6VXX), with an estimated binding energy of -6.7 kcal/mol. Conclusion: Molecular docking simulations revealed the potential of ERQ tripeptide as an anticancer and anti-COVID-19 agent. High binding affinity against 1BNA (-6.4 kcal/mol), 6M03 (-6.3 kcal/mol), 6LU7 (-6.6 kcal/mol), and 6VXX (-6.7 kcal/mol) indicated that ERQ could be an excellent new natural therapy for the treatment of cancer and COVID-19. © 2024 Istanbul University Press. All rights reserved.Publication Restricted Edge Computing and Robotic Applications in Modern Agriculture(IEEE-Inst Electrical Electronics Engineers Inc., 2024) AYRANCI, AHMET AYTUĞ; Erkmen, BurcuThe modernization of agricultural practices prominently features robotics as a key technology. Efforts are concentrated on achieving automation and enhancing efficiency in agriculture through advancements in robotic applications. The widespread integration of remote sensing systems into agricultural areas facilitates real-time information acquisition, enabling drones and robots to operate with enhanced efficiency and effectiveness. Robotics plays a crucial role in the evolution of agriculture 4.0 and agriculture 5.0 strategies, marking significant strides in agricultural technology. Specifically designed robots for agricultural use are currently employed in tasks like planting, fertilizing, irrigating, pest controlling, and harvesting, proving a certain level of effectiveness. Edge computing is crucial in enhancing efficiency and sustainability within modern agricultural practices. Edge computing can instantly process data from numerous devices, mitigating network congestion effectively. In modern agricultural applications, it is possible to perform multiple tasks in a coordinated and effective manner by using Unmanned Aerial Vehicle (UAV) and Unmanned Ground Vehicle (UGV) together. These devices can serve as both data collection and edge devices in the network. Multiple agricultural robot applications and benefits of these applications are explained in the study. © 2024 IEEE.Publication Metadata only Surgical Site Infection Arising from the Operating Room(W.B. Saunders, 2024) GÜL, ASİYE; Sengul, Tuba; Kirkland-Kyhn, Holly