Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(82)
- Akkurt, Nevzat(67)
- Güler, Ömer(66)
- Baskonus, Haci Mehmet(62)
- Bulut, Hasan(60)
- Tekin, H.O.(52)
- ALMisned, Ghada(49)
- Yucesan, Melih(43)
- Yildirim, Numan(42)
- Yildirim, Nuran Cikcikoglu(38)
- Paksoy, Mehmet Yavuz(36)
- Serdar, Osman(36)
- Zengin, Gokhan(36)
- Ince, Muharrem(34)
- Celik, Erkan(33)
- Benzer, Fulya(32)
- Kocabaş, Mehmet(30)
- Sulaiman, Tukur Abdulkadir(30)
- Tanyol, Mehtap(29)
- Yildirim, Ozal(28)
- Aslan, Naim(26)
- Kök, Mediha(26)
- Özkul, İskender(26)
- Ates, Mehmet(25)
- Danabas, Durali(25)
- Kutluyer, Filiz(25)
- Can, Erkan(24)
- Kutlu, Banu(23)
- Onat, Onur(23)
- Demir, Veysel(22)
- Erten, Fusun(22)
- Guler, Omer(22)
- Say, Yakup(22)
- Güler, Seval Hale(21)
- Yaman, Mehmet(21)
- Baykal, Duygu Sen(20)
- Sançar, Taylan(20)
- Susam, Selim Orhun(20)
- Cakilcioglu, Ugur(19)
- Orhan, Cemal(19)
Yayınlar
- BildiriYalnız künye2020Scopus SJRQ3Dynamic Features Spaces and Machine Learning: Open Problems and Synthetic Data Sets
Kaya, Sema Kayapinar; Navarro-Arribas, Guillermo; Torra, Vicenç; Huynh, V.; Entani, T.; Jeenanunta, C.; Inuiguchi, M.; Yenradee, P.
Dynamic feature spaces appear when different records or instances in databases are defined in terms of different features. This is in contrast with usual (static) feature spaces in standard databases, where the schema of the database is known and fixed. Then, all records in the database have the same set of variables, attributes or features. Dynamic feature mining algorithms are to extract knowledge from data on dynamic feature spaces. As an example, spam detection methods have been developed from a dynamic feature space perspective. Words are taken as features and new words appearing in new emails are, therefore, considered new features. In this case, the problem of spam detection is represented as a classification problem (a supervised machine learning problem). The relevance of dynamic feature spaces is increasing. The large amounts of data currently available or received by systems are not necessarily described using the same feature spaces. This is the case of distributed databases with data about customers, providers, etc. Industry 4.0, Internet of Things, and RFIDs are and will be a source of data in dynamic feature spaces. New sensors added in an industrial environment, new devices connected into a smart home, new types of analysis and new types of sensors in healthcare, all are examples of dynamic feature spaces. Machine learning algorithms are needed to deal with these type of scenarios. In this paper we motivate the interest for dynamic feature mining, we give some examples of scenarios where these techniques are needed, we review some of the existing solutions and its relationship with other areas of machine learning and data mining (e.g., incremental learning, concept drift, topic modeling), we discuss some open problems, and we discuss synthetic data generation for this type of problem.
AtıfScopus4WoS3OpenAlex3
İncele - BildiriYalnız künye2020Classification of Hand-Drawn Basic Circuit Components Using Convolutional Neural Networks
Gunay, Mihriban; Koseoglu, Murat; Yildirim, Ozal
In this paper, the Convolutional Neural Network (CNN) architecture, which is one of the deep learning architectures, is used to classify the basic circuit components drawn by hand. During the training and testing stages of the model, a new dataset containing images of 863 circuit components manually drawn by different people is created. The data set contains images of four different classes of circuit components such as resistor, inductor, capacitor and voltage source. All images have been fixed to the same size and converted to grayscale to increase recognition performance and reduce process complexity. In the study, training for four classes is performed with CNN architecture. Based on the CNN architecture, four new CNN models are employed with different the number of layers. The training and validation results of these models are compared separately, the model with the highest training and validation performance is observed with four layer CNN model (CNN-4). This model obtained 84.41% accuracy rate at classification task.
AtıfScopus16WoS5OpenAlex17İncele - MakaleYalnız künye2020Scopus SJRQ1Study on model uncertainty of water source heat pump and impact on decision making
Zhang, Ying; Akkurt, Nevzat; Yuan, Jiaqi; Xiao, Ziwei; Wang, Qianjiang; Gang, Wenjie
Water source heat pump systems are widely used for cooling and heating due to high efficiency. The energy source can be surface water or underground water. Accurate modeling of water source heat pump systems is the basis for performance prediction, design and control optimization. However, various heat pump models are available to predict the system performance and results obtained can be very different under different models due to the model uncertainty. Without considering these uncertainties, the performance of water source heat pump systems would be overestimated or underestimated and the decision making would be affected. This paper attempts to quantify the model uncertainty of water source heat pump and its impact on the system performance. Thirteen commonly-used models are selected and validated using the manufacture data. By importing these models into the water source heat pump system, the impact of heat pump model uncertainty on the system performance is quantified. It shows that the model uncertainty can result in a deviation of up to 30% in the annual energy consumption. The energy saving potential of water source heat pump systems can vary from -18.43% to 14.78% compared with the chillers & boiler in the hot summer and cold winter area. The priority of water source heat pump systems is also controversial. The difference in the annual average coefficient of performance of the system can be up to 1.22. It demonstrates that the model uncertainty of water source heat pumps affects the system performance significantly and should be taken into account in building energy prediction and design optimization. The models considering the correction of part load ratio are recommended.
AtıfScopus40WoS34OpenAlex45İncele - MakaleYalnız künye2020Scopus SJRQ2Seismic vulnerability assessment of RC buildings according to the 2007 and 2018 Turkish seismic codes
Yön, Burak
Fragility curves are useful tools to estimate the damage probability of buildings owing to seismic actions. The purpose of this study is to investigate seismic vulnerability of reinforced concrete (RC) buildings, according to the 2007 and 2018 Turkish Seismic Codes, using fragility curves. For the numerical analyses, typical five-and seven-storey RC buildings were selected and incremental dynamic analyses (IDA) were performed. To complete the IDAs, eleven earthquake acceleration records multiplied by various scaling factors from 0.2g to 0.8g were used. To predict nonlinearity, a distributed hinge model that involves material and geometric nonlinearity of the structural members was used. Damages to confined concrete and reinforcement bar of structural members were obtained by considering the unit deformation demands of the 2007 Turkish Seismic Code (TSC-2007) and the 2018 Turkey Building Earthquake Code (TBEC-2018). Vulnerability evaluation of these buildings was performed using fragility curves based on the results of incremental dynamic analyses. Fragility curves were generated in terms of damage levels occurring in confined concrete and reinforcement bar of structural members with a lognormal distribution assumption. The fragility curves show that the probability of damage occurring is more according to TBEC-2018 than according to TSC-2007 for selected buildings.
AtıfScopus16WoS12OpenAlex7İncele - MakaleYalnız künye2020Scopus SJRQ1Techno-economic analyses of multi-functional liquid air energy storage for power generation, oxygen production and heating
Wang, Chen; Akkurt, Nevzat; Zhang, Xiaosong; Luo, Yimo; She, Xiaohui
Liquid air energy storage (LAES) is increasingly popular for decarbonizing the power network. At off-peak time, ambient air after purification is liquefied and stored; at peak time, the liquid air is discharged to generate power. One of the key challenges for the LAES system is the lower economic benefit as peak electricity is usually the only source of income, leading to a longer payback period of ~15 years. To address this issue, this paper, for the first time, proposes a multifunctional LAES system, which not only generates peak electricity but also provides pure oxygen and heating. The proposed system is composed of an air separation unit (ASU), a nitrogen liquefaction unit (NLU) and a power generation unit (PGU). Thermodynamic and economic analyses are carried out on the proposed system. Compared with the baseline LAES system (NLU + PGU), the multifunctional LAES system has a lower round trip efficiency of ~0.39 due to the extra electricity consumption by the ASU. However, it shows a much better economic performance with additional benefits from pure oxygen and heating. In a project life-span of 30 years, the multifunctional LAES system (10 MW/80 MWh) has a short payback period of ~5.7 years. Furthermore, it has a savings-to-investment ratio of 3.12, which is ~153% higher than that of the baseline LAES system. Investigation on the system operation strategy suggests that the ASU should operate at full time. The proposed system provides a feasible way to improve the economic benefits of the LAES system, thus promoting its wide applications.
AtıfScopus82OpenAlex86İncele - MakaleAçık Erişim2020Scopus SJRQ3Biosorptive removal of eriochrome black-T using agaricus campestris: Parameters optimization with response surface methodology
Alp, Hevidar; Ince, Muharrem; Ince, Olcay Kaplan; Onal, Ali
In this study, Eriochrome Black T (EBT) removal from aqueous media by Agaricus campestris (AC) which is an eco-friendly biosorbent was investigated using a central composite design (CCD) combined with response surface methodology. The CCD was chosen as the statistical prediction method to reduce the number of experiments which, in turn, will directly save time and chemicals. To opti-mize the process, various experimental independent variables such as the pH of the solution, contact time, adsorbent dosage and temperature were selected. The optimal experimental conditions were obtained as 6.5, 30°C, 20 min and 20 mg, for solution pH, temperature, contact time and adsorbent dosage, respectively. Under these optimized conditions, maximum EBT (100 mg L–1 initial concentra-tion) removal efficiency was calculated as 64.2 mg g–1. The independent variables and their interaction significance were checked using analysis of variance and it was found that the EBT biosorption on AC was highly significant (p < 0.001). The results were justified by the relatively high correlation coefficients (R2 = 0.9967) of the statistical prediction. The EBT biosorption was confirmed by fourier transform infrared spectroscopy (FTIR) analysis monitoring the functional groups during EBT biosorption on AC. This was the first report on the parameter optimization of EBT biosorp-tion using AC in an experimental design. The used biosorbent was characterized by FTIR, scanning electron microscope coupled with energy dispersive spectrometer and thermogravimetric analysis. The proposed biosorption process efficiently removed EBT, present in various aqueous mediums and can be used in industrial processes.
AtıfScopus17WoS12İncele - MakaleAçık Erişim2020Scopus SJRQ2An integrated approach of best-worst method (bwm) and triangular fuzzy sets for evaluating driver behavior factors related to road safety
Moslem, Sarbast; Gul, Muhammet; Farooq, Danish; Celik, Erkan; Ghorbanzadeh, Omid; Blaschke, Thomas
Driver behavior plays a major role in road safety because it is considered as a significant argument in traffic accident avoidance. Drivers mostly face various risky driving factors which lead to fatal accidents or serious injury. This study aims to evaluate and prioritize the significant driver behavior factors related to road safety. In this regard, we integrated a decision-making model of the Best-Worst Method (BWM) with the triangular fuzzy sets as a solution for optimizing our complex decision-making problem, which is associated with uncertainty and ambiguity. Driving characteristics are different in different driving situations which indicate the ambiguous and complex attitude of individuals, and decision-makers (DMs) need to improve the reliability of the decision. Since the crisp values of factors may be inadequate to model the real-world problem considering the vagueness and the ambiguity, and providing the pairwise comparisons with the requirement of less compared data, the BWM integrated with triangular fuzzy sets is used in the study to evaluate risky driver behavior factors for a designed three-level hierarchical structure. The model results provide the most significant driver behavior factors that influence road safety for each level based on evaluator responses on the Driver Behavior Questionnaire (DBQ). Moreover, the model generates a more consistent decision process by the new consistency ratio of F-BWM. An adaptable application process from the model is also generated for future attempts.
AtıfScopus96WoS83OpenAlex93İncele - BildiriAçık Erişim2020Speed Control of DC Motor under Load Condition Using Single Phase Matrix Converter
Boydak, Merve; Orhan, Ahmet; Caliskan, Abuzer
In this study, speed control of a separately excited DC motor was performed using Single Phase Matrix Converter (SPMC). The driver circuit that operates SPMC in buck-boost mode was used. The DC motor was first run without any controller and the change in speed was observed in the case of loading. Then, the motor was run by using PI controller and speed of the motor was kept constant during loading. Switches in the single-phase matrix converter are switched using Sinusoidal Pulse Width Modulation (SPWM) technique. MATLAB/Simulink was used for simulation.
AtıfScopus1İncele - MakaleAçık Erişim2020Scopus SJRQ1Optimization of tetracycline removal with chitosan obtained from mussel shells using RSM
Topal, Murat; Arslan Topal, E. Işıl
In this study, the removal of tetracycline from aqueous solutions with chitosan obtained from mussel shells was optimized and investigated using responce surface methodology. For this aim, the central composite design was used to optimize the four variable factors (sorbent dosage (0.4–1.0 g), time (20−60 min), temparature (10−30 °C) and initial TC concentration (50−100 mg/L)) for the removal of TC from aqueous solutions by chitosan obtained from mussel shells. According to the RSM analysis results, optimum conditions for maximum TC removal efficiency were determined as 90.5 mg/L for initial TC concentration, 35.9 min for time, 29.9 °C for temperature and 0.4 g for sorbent dosage. It was observed that the tetracycline was crystallized on mussel shells. According to the results of XRD after adsorption, the content of mussel shells were observed as 60% calcite, 5.6% overite, 9.4% aragonite and calcium hydroxide 25%, respectively. As a result, experiments showed that chitosan obtained from mussel shells were a good adsorbant for tetracycline removal from aqueous solutions.
AtıfScopus53WoS52OpenAlex53İncele - MakaleYalnız künye2020Scopus SJRQ1ENHANCEMENT OF THE PERFORMANCE OF SOUR CHERRY JUICE CONCENTRATION PROCESS IN VACUUM EVAPORATOR BY ASSISTING OHMIC HEATING SOURCE
Sabanci, Serdal; Icier, Filiz
Sour cherry juice was concentrated to 65% TSS content by using ohmic heating assisted vacuum evaporation (OVE) at voltage gradients (10, 12, 14 V/cm) and vacuum evaporation (VE). The change of performance efficiencies (energy/exergy) of OVE process depending on the voltage gradient applied and the increase in TSS content during the process were investigated by taking into account of both process and system boundaries, and compared with those of VE process. During this process, total energy consumption decreased as the voltage gradient increased, but it increased as TSS content increased. System boundary based efficiencies were lower than process based ones. Maximum efficiency was obtained for 14 V/cm. Improvement potential values increased as TSS content increased but the voltage gradient increased. The assistance of ohmic heating to VE increased the performance of the evaporation process in terms of energy and exergy efficiencies, and decreased the improvement requirements of the system.
AtıfScopus31WoS24OpenAlex31İncele - MakaleYalnız künye2020Scopus SJRQ4Metal bioaccumulation in selected tissues of barb (Barbus sp.) and common carp (Cyprinus carpio, Linnaeus 1758) from the Keban Dam Lake, Turkey
Danabas, Durali; Kutluyer, Filiz; Ural, Mesut; Kocabaş, Mehmet
The aquatic life has been negatively influenced by harmful effects of environmental toxic elements, including heavy metals. The elevated concentrations of metals may be harmful for aquatic animals and human health. Herein, the present study deals with assessment of the bioavailability of metals [cadmium (Cd), chrome (Cr), copper (Cu), zinc (Zn), iron (Fe), lead (Pb), manganese (Mn), mercury (Hg), nickel (Ni), and selenium (Se)] in organs such as muscle, gills, liver, kidney, and gonad of the commercially consumed Barbus sp. and Cyprinus carpio (Linnaeus, 1758) collected from Keban Dam Lake, eastern Turkey. The fish were captured from four different stations of Keban Dam Lake. Our results indicated that Fe and Zn concentrations were the highest in all tissues of two fish species while Cd concentrations were the lowest levels. In addition, detected metals accumulated in the muscle of common carp at higher levels compared to Barbus sp. The results from the present study also demonstrated significant variations and considerable differences in the concentrations of all 10 elements between the four stations and different fish tissues. Overall, the concentrations of detected metals in the muscle were many folds higher than the permissible level prescribed by some national and international legislation, which raises health risk concerns.
AtıfScopus11WoS9OpenAlex14İncele - MakaleAçık Erişim2020Scopus SJRQ4Investigation of curcumin role on doxorubicin-induced tissue damage in terms of trace metal levels using etaas
Ince, Olcay Kaplan; Kandemir, Fatih Mehmet; Ince, Muharrem; Benzer, Fulya; Onal, Ali; Kucukler, Sefa
Doxorubicin (DXR) is one of the commonly used chemotherapeutic agents, which is highly toxic and causes gastrointestinal and cardiac toxicity. Curcumin is used as a spice and coloring agent in food, but also possesses anti-proliferating, potent antioxidant, antitumor-promoting and anti-carcinogenic properties in vitro and in vivo. In this study, the change in element concentrations in the tissues of healthy animals was examined by administering doxorubicin and curcumin separately, or both at the same time. For this purpose, 35 wistar albino male rats were selected and randomly divided into five groups of seven each. The objective of this study was to assess and compare the levels of copper, iron, zinc and selenium in the liver, kidney, heart, and testis of the control group and in the doxorubicin-induced tissues. According to the results, the Cu, Fe, Zn, Se amounts and the Cu/Fe, Cu/Zn, and Cu/Se ratios were present at different levels in each of the five groups. In terms of element concentration, the most affected tissue by doxorubicin application is the heart, and the least affected is the kidney. The ratios of Cu/Fe and Cu/Se in the liver and the heart were highest in Group II and Group III, respectively.
AtıfScopus2WoS2OpenAlex2İncele - MakaleYalnız künye2020Scopus SJRQ2Can Toxicities Induced by Insecticide Methomyl be Remediated Via Soil Bacteria Ochrobactrum thiophenivorans and Sphingomonas melonis?
Tatar, Sule; Yildirim, Nuran Cikcikoglu; Serdar, Osman; Erguven, Gokhan Onder
The research study was about revealing the biochemical response of Gammarus pulex related to insecticide methomyl before and after bioremediation by two soil bacteria species, Ochrobactrum thiophenivorans and Sphingomonas melonis. Catalase (CAT), glutathione S-transferase.(GST), cytochrome. P4501A1 (CYP1A1) activities in G. Pulex related to methomyl solution were investigated in 24 h and 96 h. ELISA method was used for test studies. CAT enzyme was decreased in Gammarus pulex that was exposed to methomyl after all exposure period (P < 0.05). CAT activities were returned to control results after bioremediation assays. GST enzyme activity was decreased depending on methomyl exposure during 24 h but increased during 4 days (P < 0.05). After 8 days of bioremediation period, GST activity increased again during 24 h while decreased during 4 days (P < 0.05). CYP1A1 activity increased in Gammarus pulex that was exposed to methomyl after all exposure period (P > 0.05). After bioremediation, statistically significant changes were not revealed in CYP1A1 activities (P > 0.05). According to the results of our study, CYP1A1, CAT, and GST activities in G. pulex sanctioned the capability of Ochrobactrum thiophenivorans and Sphingomonas melonis in methomyl bioremediation. Isolated and enriched Ochrobactrum thiophenivorans and Sphingomonas melonis that were added to 2.5 ppb concentrations of methomyl for 8 days. Each day, chemical oxygen demand (COD) and biochemical oxygen demand (BOD5), pH and dissolved oxygen parameters were monitored. At the final phase of the bioremediation step, it was determined that these bacteria have efficient methomyl bioremediation properties in a mixed corsortia at a rate of 86%. These results show that these bacteria can be used for bioremediate the receiving environments that are polluted by these kinds of insecticides.
AtıfScopus18WoS16OpenAlex19
İncele - MakaleAçık Erişim2020Scopus SJRQ3Early Miocene seed like plant remain fossils and facies associations from the Nallıhan district (NW Turkey)
Görmüş, Muhittin; Kadioğlu, Yusuf Kağan; Varol, Baki Erdoğan; Us, Muhammed Sami
Seed like fossils recognized by their distinctive orbicular in shape are seen in the early Miocene of the Nallıhan area (NW Türkiye). We examined more than one hundred specimens and facies associations for interpreting of fossil morphology and its paleoenvironment. The fossils as dark crystallized dots on the bedding surface of clayey limestones are characterized by a thick edged lenticular shape with a smooth one side and concave another side with circular nucleus. Their internal structures have circular a few whorlings, too often radial calcitic lamellae on the upper side and a few circular coiling at the bottom side. SEM, EPMA and RAMAN data of soft nucleus, hard part, filling materials and surrounding sediments support its plant origin. The Paleogene aged Kızılbayır formation and early Miocene aged Karadoruk and Akpınar formations include the following facieses: non-channelized red sandstone and mudstone (F1), channelized “confined” reddish-beige pebbly sandstone and conglomerate (F2), medium to coarse siliciclastics (F3), mudstones interbedded with sandstones (F4), thin bedded clayey limestone bearing plant fossils (F5) medium to thick bedded limestone (F6) and rhythmic siliciclastics - clayey limestone including coal occurrences (F7). Abundant plant fossils indicate a planted shallow lake margin with low topography during the early Miocene.
- MakaleAçık Erişim2020Scopus SJRQ2Variation with graphene oxide doping of structural, optical, dielectric and thermal properties of BaCO3:ZnO nanocrystals synthesized by solgel combustion method
Aydin, H.; Taskin, M.; Aydin, C.; Dagdelen, F.; Kaygili, O.; Bulut, N.; Orhan, A.
The results obtained from thermogravimetric (TG) analysis, X-ray diffraction analysis, optical characterization and dielectric measurements of the samples were investigated. In X-ray diffraction patterns, the presence of both BaCO3 and ZnO peaks showed that ZnO and BaCO3 nanocrystals were independently grown. Changes in the band peak position in the FTIR spectra showed that the chemical structure of Ba:Zn nanocomposites changed with the doping of graphene oxide. The optical band gap (Eg) of the samples was calculated as 3.18, 3.19, 3.2, 3.21 and 3.23 eV for BaZn, BaZn25, BaZn50, BaZn75 and BaZn100, respectively. It was determined that the dielectric constants and dielectric losses of the nanocomposites exhibited normal dielectric behavior, decreased with the frequency described in light of Maxwell–Wagner model and increased with increasing graphene oxide concentration. TG measurement showed that the mass loss in the sample decreased with increasing graphene oxide.
AtıfScopus4WoS4OpenAlex4İncele - MakaleAçık Erişim2020Scopus SJRQ1Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG records
Yildirim, Ozal; Talo, Muhammed; Ciaccio, Edward J.; Tan, Ru San; Acharya, U Rajendra
Background and objective: Cardiac arrhythmia, which is an abnormal heart rhythm, is a common clinical problem in cardiology. Detection of arrhythmia on an extended duration electrocardiogram (ECG) is done based on initial algorithmic software screening, with final visual validation by cardiologists. It is a time consuming and subjective process. Therefore, fully automated computer-assisted detection systems with a high degree of accuracy have an essential role in this task. In this study, we proposed an effective deep neural network (DNN) model to detect different rhythm classes from a new ECG database. Methods: Our DNN model was designed for high performance on all ECG leads. The proposed model, which included both representation learning and sequence learning tasks, showed promising results on all 12-lead inputs. Convolutional layers and sub-sampling layers were used in the representation learning phase. The sequence learning part involved a long short-term memory (LSTM) unit after representation of learning layers. Results: We performed two different class scenarios, including reduced rhythms (seven rhythm types) and merged rhythms (four rhythm types) according to the records from the database. Our trained DNN model achieved 92.24% and 96.13% accuracies for the reduced and merged rhythm classes, respectively. Conclusion: Recently, deep learning algorithms have been found to be useful because of their high performance. The main challenge is the scarcity of appropriate training and testing resources because model performance is dependent on the quality and quantity of case samples. In this study, we used a new public arrhythmia database comprising more than 10,000 records. We constructed an efficient DNN model for automated detection of arrhythmia using these records.
AtıfScopus143OpenAlex146İncele - MakaleYayıncıda açık erişim2020Optimal position of piezoelectric actuators for active vibration reduction of beams
Kouider, Bendine; Polat, Alper
This paper investigates the optimal placement of piezoelectric actuators for the active vibration attenuation of beams. The governing equation of the beam is achieved by coupled first order shear deformation theory with two node element. The velocity feedback controller is designed and used to calculate the feedback gain and then apply to the beam. In order to search for the optimal placement of the piezoelectric actuators, a new optimization criterion is considered based on the use of genetic algorithm to reduce the displacement output of the beam. The proposed optimization technique has been tested for two boundary conditions configurations; clamped -free and clamped-clamped beam. Numerical examples have been provided to analyze the effectiveness of the proposed technic.
AtıfScopus22WoS19OpenAlex21İncele - MakaleAçık Erişim2020Scopus SJRQ3An exhaustive review and analysis on applications of statistical forecasting in hospital emergency departments
Gul, Muhammet; Celik, Erkan
Emergency departments (EDs) provide medical treatment for a broad spectrum of illnesses and injuries to patients who arrive at all hours of the day. The quality and efficient delivery of health care in EDs are associated with a number of factors, such as patient overall length of stay (LOS) and admission, prompt ambulance diversion, quick and accurate triage, nurse and physician assessment, diagnostic and laboratory services, consultations and treatment. One of the most important ways to plan the healthcare delivery efficiently is to make forecasts of ED processes. The aim this study is thus to provide an exhaustive review for ED stakeholders interested in applying forecasting methods to their ED processes. A categorisation, analysis and interpretation of 102 papers is performed for review. This exhaustive review provides an insight for researchers and practitioners about forecasting in EDs in terms of showing current state and potential areas for future attempts.
AtıfScopus63WoS54OpenAlex80İncele - MakaleAçık Erişim2020Scopus SJRQ2The changes in semen quality, arginase activity and nitric oxide level in dexamethasone-treated rams
Ozer Kaya, Seyma; Erisir, Mine; Gur, Seyfettin; Kandemir, Fatih Mehmet; Benzer, Fulya; Kaya, Emre; Sonmez, Mustafa; Turk, Gaffari
This study was made to investigate the effects of intramuscular administrations of dexamethasone on seminal plasma nitric oxide levels and arginase activity, and some spermatological parameters in rams. Ten Akkaraman rams weighing 50–60 kg and 2 years old were used as material in this study. The study was performed during the breeding season (September–November) for rams. The semen was collected by artificial vagina at 1st, 4th, 24th, 48th, 72nd and 96th hours for control group before dexamethasone administration. For treatment group, 0.25 mg/kg dexamethasone was administered and semen was collected at the time points described for control group. Spermatological characteristics of semen samples (semen volume, pH, sperm motility, density and abnormal sperm rate), seminal plasma arginase enzyme activities and nitric oxide levels were determined. It was determined that the administration of dexamethasone was detected to decrease seminal plasma arginase activity (p <.05 and.01) and nitric oxide level (p <.05), semen volume (p <.05 and.01), mass activity (p <.05 and.01), sperm density (p <.05) and sperm motility (p <.05 and.01), and to increase abnormal sperm rate (p <.05 and.01). In conclusion, dexamethasone is not recommended to be used during the breeding season as it damages the sperm quality of the rams.
AtıfScopus10WoS7OpenAlex8İncele - MakaleYalnız künye2020Scopus SJRQ2Characterization of viscoelastic properties of minced beef meat thawed by ohmic and conventional methods
Cevik, Mutlu; Icier, Filiz
Frozen minced meat samples having fat contents of 2%, 10% and 18% were thawed using different methods (refrigeration thawing at ambient temperature of +4 ℃, under running cold water (+4 ℃) thawing, ohmic thawing for 10, 13 and 16 V/cm). Viscoelastic properties were determined by using rheological tests (oscillation and creep/recovery tests). Storage modulus, loss modulus, complex modulus, loss tangent, dynamic viscosity and complex viscosity values of minced meat samples increased as fat content increased. As frequency value increased, the modulus values of meat samples increased but dynamic and complex viscosity values of the samples decreased. The minced meat samples thawed by different methods had recoverable compliance values. The compliance values of meat samples during creep region can be well characterized by Burgers model. Ohmic thawing can be used as an alternative thawing method since it resulted in similar rheological properties of minced meat samples compared to refrigeration thawing at ambient temperature of +4 ℃ and under running cold water (+4℃) thawing.
AtıfScopus28WoS25İncele