Fırat University

Despite the breakthroughs in accuracy and speed of single image super-resolution using faster and deeper convolutional neural networks, one central problem remains largely unsolved: how do we recover the finer texture details when we super-resolve at large upscaling factors? The behavior of optimization-based super-resolution methods is principally driven by the choice of the objective function. Recent work has largely focused on minimizing the mean squared reconstruction error. The resulting estimates have high peak signal-to-noise ratios, but they are often lacking high-frequency details and are perceptually unsatisfying in the sense that they fail to match the fidelity expected at the higher resolution. In this paper, we present SRGAN, a generative adversarial network (GAN) for image super-resolution (SR). To our knowledge, it is the first framework capable of inferring photo-realistic natural images for 4x upscaling factors. To achieve this, we propose a perceptual loss function which consists of an adversarial loss and a content loss. The adversarial loss pushes our solution to the natural image manifold using a discriminator network that is trained to differentiate between the super-resolved images and original photo-realistic images. In addition, we use a content loss motivated by perceptual similarity instead of similarity in pixel space. Our deep residual network is able to recover photo-realistic textures from heavily downsampled images on public benchmarks. An extensive mean-opinion-score (MOS) test shows hugely significant gains in perceptual quality using SRGAN. The MOS scores obtained with SRGAN are closer to those of the original high-resolution images than to those obtained with any state-of-the-art method.

Migraine headaches may take place due to various triggering factors. One or more triggering factors can be detected in a migraine patient. To our knowledge, a factor that is known to trigger migraine attacks in a patient does not cause headache each time the patient is exposed to it. Migraine headaches also can be experienced without these factors. Here, we describe a case series of 16 sunlight-induced migraine patients. Records of patients admitted to Firat University Faculty of Medicine Clinic of Neurology with a complaint of headache between January 2001 and June 2010 were scanned. Among those patients, the ones suffering headaches after being exposed to sunlight were examined comprehensively. Nine patients were female and 7 were male. Fourteen patients had the characteristics of migraine without aura, while 2 patients had the characteristics of migraine with aura. The mean times to headache onset after sunlight exposure were 5-10 min in summer and 60 min in winter. Migraine headaches can be triggered by many different causes. We view sunlight as a single triggering factor which should be questioned in migraine patients.

PURPOSE: Acute myocardial infarction (AMI) is the most common cause of death in the world. Comprehensive risk assessment of patients presenting with chest pain and eliminating undesirable results should decrease morbidity and mortality rates, increase the quality of life of patients, and decrease health expenditure in many countries. In this study, the advantages and disadvantages of the enzymatic and nonenzymatic biomarkers used in the diagnosis of patients with AMI are given in historical sequence, and some candidate biomarkers - hFABP, GPBB, S100, PAPP-A, RP, TNF, IL6, IL18, CD40 ligand, MPO, MMP9, cell-adhesion molecules, oxidized LDL, glutathione, homocysteine, fibrinogen, and D-dimer procalcitonin - with a possible role in the diagnosis of AMI are discussed. METHODS: The present study was carried out using meta-analyses, reviews of clinical trials, evidence-based medicine, and guidelines indexed in PubMed and Web of Science. RESULTS: These numerous AMI biomarkers guide clinical applications (diagnostic methods, risk stratification, and treatment). Today, however, TnI remains the gold standard for the diagnosis of AMI. Details in the text will be given of many biomarkers for the diagnosis of AMI. CONCLUSION: We evaluated the advantages and disadvantages of routine enzymatic and nonenzymatic biomarkers and the literature evidence of other candidate biomarkers in the diagnosis of AMI, and discuss challenges and constraints that limit translational use from bench to bedside.

In this study, slinky (the slinky-loop configuration is also known as the coiled loop or spiral loop of flexible plastic pipe)type ground heat exchanger (GHE) was established for a solar-assisted ground source heat pump system. System modelling is performed with the data obtained from the experiment. Artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) are used in modelling. The slinky pipes have been laid horizontally and vertically in a ditch. The system coefficient of performance (COPsys) and the heat pump coefficient of performance (COPhp) have been calculated as 2.88 and 3.55, respectively, at horizontal slinky-type GHE, while COPsys and COPhp were calculated as 2.34 and 2.91, respectively, at vertical slinky-type GHE. The obtained results showed that the ANFIS is more successful than that of ANN for forecasting performance of a solar ground source heat pump system.

PURPOSE: This study was conducted to evaluate nursing students' views on the COVİD-19 pandemic and their perceived stress levels. DESIGN AND METHODS: A cross-sectional design was used to carry out this study. The research was conducted between April and May 2020 with 662 nursing students. Data were collected by an information form developed for the study and the Perceived Stress Scale (PSS). FINDINGS: The average score on the PSS was 31.69 ± 6.91, indicating that the students had a moderate level of stress. Significant differences in PSS score were found in terms of age and sex (P < .001 and P < .001, respectively). PRACTICE IMPLICATIONS: Results of this study indicated that age, sex, and some variables related to the pandemic process affect perceived stress levels of nursing students.

This paper proposes a new metaheuristic optimization algorithm based on ancient war strategy. The proposed War Strategy Optimization (WSO) is based on the strategic movement of army troops during the war. War strategy is modeled as an optimization process wherein each soldier dynamically moves towards the optimum value. The proposed algorithm models two popular war strategies, attack and defense strategies. The positions of soldiers on the battlefield are updated in accordance with the strategy implemented. To improve the algorithm&#x2019;s convergence and robustness, a novel weight updating mechanism and a weak soldier&#x2019;s relocation strategy are introduced. The proposed war strategy algorithm achieves good balance of the exploration and exploitation stages. A detailed mathematical model of the algorithm is presented. The efficacy of the proposed algorithm is tested on 50 benchmark functions and four engineering problems. The performance of the algorithm is compared with ten popular metaheuristic algorithms. The experimental results for various optimization problems prove the superiority of the proposed algorithm.

Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of the components in a real system has been destroyed, and some anomalies appear so that maintenance can be performed before a breakdown takes place. Using cutting-edge technologies like data analytics and artificial intelligence (AI) enhances the performance and accuracy of predictive maintenance systems and increases their autonomy and adaptability in complex and dynamic working environments. This paper reviews the recent developments in AI-based PdM, focusing on key components, trustworthiness, and future trends. The state-of-the-art (SOTA) techniques, challenges, and opportunities associated with AI-based PdM are first analyzed. The integration of AI technologies into PdM in real-world applications, the human–robot interaction, the ethical issues emerging from using AI, and the testing and validation abilities of the developed policies are later discussed. This study exhibits the potential working areas for future research, such as digital twin, metaverse, generative AI, collaborative robots (cobots), blockchain technology, trustworthy AI, and Industrial Internet of Things (IIoT), utilizing a comprehensive survey of the current SOTA techniques, opportunities, and challenges allied with AI-based PdM.

Recent data from several reports indicate that free radicals are involved in aetiopathogenesis of many human pathologies including neuropsychiatric disorders such as schizophrenia, bipolar disorder etc. In the present study, we aimed at determining and evaluating levels of malondialdehyde (MDA), a product of lipid peroxidation, and antioxidant enzyme superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px) activity levels in patients diagnosed with schizophrenia (n = 25) and bipolar disorder (n = 23). The control group was composed of 20 healthy subjects. There was a significant increase in MDA levels of patients with schizophrenia and bipolar disorder compared with controls. SOD and GSH-Px activity levels were significantly higher in the schizophrenic group compared with controls. SOD activity levels in bipolar the group were significantly higher than controls whereas there were no significant changes in GSH-Px activity levels in the bipolar group and controls. Significant differences between lipid peroxidation product and antioxidant enzyme (SOD and GSH-Px) activity levels in schizophrenic and bipolar disorder patients compared with controls leads us to believe that these differences are related to the heterogenities in aetiologies of these disorders.

ABSTRACT The authors aimed to propose a valid and reliable diagnostic instrument by developing a three-tier test on simple electric circuits. Based on findings from the interviews, open-ended questions, and the related literature, the test was developed and administered to 124 high school students. In addition to some qualitative techniques for establishing the validity, some quantitative techniques were also used. Consequently, Cronbach's alpha reliability coefficient was estimated for the test as .69, and results revealed that the test scores could be a valid and reliable measure of students’ qualitative understanding of simple electric circuits.

Face recognition is of great importance to real world applications such as video surveillance, human machine interaction and security systems. As compared to traditional machine learning approaches, deep learning based methods have shown better performances in terms of accuracy and speed of processing in image recognition. This paper proposes a modified Convolutional Neural Network (CNN) architecture by adding two normalization operations to two of the layers. The normalization operation which is batch normalization provided acceleration of the network. CNN architecture was employed to extract distinctive face features and Softmax classifier was used to classify faces in the fully connected layer of CNN. In the experiment part, Georgia Tech Database showed that the proposed approach has improved the face recognition performance with better recognition results.

In this paper, we propose an approach to understand the driver behavior using smartphone sensors. The aim for analyzing the sensory data acquired using a smartphone is to design a car-independent system which does not need vehicle mounted sensors measuring turn rates, gas consumption or tire pressure. The sensory data utilized in this paper includes the accelerometer, gyroscope and the magnetometer. Using these sensors we obtain position, speed, acceleration, deceleration and deflection angle sensory information and estimate commuting safety by statistically analyzing driver behavior. In contrast to state of the art, this work uses no external sensors, resulting in a cost efficient, simplistic and user-friendly system.

The current study investigates the perspectives and experiences of teachers regarding their school principal’s digital leadership roles and technology capabilities during the COVID-19 pandemic. The research was conducted using a case study-based qualitative approach, and with a study group consisting of 89 teachers holding a Master’s degree. Maximum diversity sampling, one of the purposive sampling methods, was preferred in the determination of the study group, and the data obtained from the research were analyzed through content analysis. The five main themes determined based on the perceptions and experiences of the participants are listed as: “Digital technology usage, support for the digital transformation, support for technology-based professional development, support for digital learning culture, and digital leadership skills”. The results of the research revealed that the level of use of digital technologies by school principals during the COVID-19 pandemic was perceived as adequate by teachers. In addition, it was determined that school principals support digital transformation and technology-based professional development in schools. Furthermore, within the scope of the research, it was determined that school principals contribute to the construction of a digital learning culture in schools. The results of the study revealed that school principals’ digital leadership skills were clustered under three categories: technology use, managerial skills, and individual skills. As a result, in order to realize digital transformation within the context of K-12 education, school principals must first demonstrate their digital leadership and actively support the establishment of a digital learning culture in their schools.

BACKGROUND: Uraemic pruritus is a common and distressing symptom in patients on haemodialysis for chronic renal failure. Gabapentin is an anticonvulsant that alleviates neuropathic pain. We conducted a double-blind, placebo-controlled, crossover study to assess its effectiveness against renal itch. METHODS: We enrolled in the trial 25 adult patients on haemodialysis who were asked to daily record the severity of their pruritus on a visual analogue scale. The patients were randomly assigned to receive gabapentin for 4 weeks followed by placebo for 4 weeks or the reverse sequence. Gabapentin or placebo were administered thrice weekly, at the end of haemodialysis sessions. RESULTS: The mean pruritus score of the cohort before the study was 8.4 +/- 0.94. After placebo intake, it decreased to 7.6 +/- 2.6 (P = 0.098). The score of four patients decreased by >50% following placebo. After gabapentin administration, the mean score decreased significantly, to 1.2 +/- 1.8 (P = 0.0001), although one patient's symptoms did not improve significantly. No patient dropped out of the study due to adverse effects from gabapentin. CONCLUSIONS: Our study shows that gabapentin is safe and effective for treating uraemic pruritus in haemodialysis patients. Our results also support the neuropathic hypothesis of uraemic pruritus.

This study analyzes the effects of fluid resuscitation in the crush victims of the Bingol earthquake, which occurred in May 2003 in southeastern Turkey. Questionnaires asking about demographic, clinical, laboratory, and therapeutic features of 16 crush victims were filled in retrospectively. Mean duration under the rubble was 10.3 +/- 7 h, and all patients had severe rhabdomyolysis. Fourteen patients were receiving isotonic saline at admission, which was followed by mannitol-alkaline fluid resuscitation. All but two patients were polyuric. Admission serum creatinine level was lower than and higher than 1.5 mg/dl in 11 and 5 patients, respectively. Marked elevations were noted in muscle enzymes in all patients. During the clinical course, hypokalemia was observed in nine patients, all of whom needed energetic potassium chloride replacement. Four (25%) of 16 victims required hemodialysis. Duration between rescue and initiation of fluids was significantly longer in the dialyzed victims as compared with nondialyzed ones (9.3 +/- 1.7 versus 3.7 +/- 3.3 h, P < 0.03). Sixteen fasciotomies were performed in 11 patients (68%), nine of which were complicated by wound infections. All patients survived and were discharged from the hospital with good renal function. Early and vigorous fluid resuscitation followed by mannitol-alkaline diuresis prevents acute renal failure in crush victims, resulting in a more favorable outcome.

The transition toward clean energy is an issue of great importance with growing debate in climate change mitigation. The complex nature of nuclear energy-CO2 emissions nexus makes it difficult to predict whether or not nuclear acts as a clean energy source. Hence, we examined the relationship between nuclear energy consumption and CO2 emissions in the context of the IPAT and Environmental Kuznets Curve (EKC) framework. Dynamic Auto-regressive Distributive Lag (DARDL), a newly modified econometric tool, is employed for estimation of long- and short-run dynamics by using yearly data spanning from 1971 to 2018. The empirical findings of the study revealed an instantaneous increase in nuclear energy reduces environmental pollution, which highlights that more nuclear energy power in the Indian energy system would be beneficial for climate change mitigation. The results further demonstrate that the overarching effect of population density in the IPAT equation stimulates carbon emissions. Finally, nuclear energy and population density contribute to form the EKC curve. To achieving a cleaner environment, results point out governmental policies toward the transition of nuclear energy that favours environmental sustainability.

High ambient temperatures compromise performance and productivity through reducing feed intake and decreasing nutrient utilization, growth rate, egg production, egg quality, and feed efficiency, which lead to economic losses in poultry. Environmental stress also leads to oxidative stress associated with a reduced antioxidant status in the bird in vivo, as reflected by increased oxidative damage and lowered plasma concentrations of antioxidant vitamins (e.g., vitamins E, A, and C) and minerals (e.g., Zn). Zinc has an important role in numerous biological processes in avian and mammalian species. For instance, Zn is an essential component of many enzymes, and it has both structural and catalytic functions in metalloenzymes. Furthermore, dietary Zn is required for normal immune function as well as proper skeletal development and maintenance. One of the most important functions of Zn is related to its antioxidant role and its participation in the antioxidant defense system. This work compiles past and present information about the role of Zn in heat-stressed poultry health.

BACKGROUND: Behçet's disease (BD) is a systemic inflammatory disease with unpredictable exacerbations and remissions. The natural course of BD is not fully known. OBJECTIVES: We aimed retrospectively to determine the occurrence of the symptoms in chronological order. We also evaluated the influence of the treatment and follow-up on the clinical severity and tried to identify the factors determining severe organ involvement. METHODS: Six hundred and sixty-one patients were involved in this multicentre study. The symptoms of the disease were recorded retrospectively in the time order of the manifestations in each patient. RESULTS: Oral ulcers were the most common manifestation (100%), followed by genital ulcers (85.3%), papulopustular lesions (55.4%), erythema nodosum (44.2%), skin pathergy reaction (37.8%), and articular (33.4%) and ocular involvement (29.2%). Oral ulcers were the most common onset manifestation (88.7%). The mean +/- SD duration between the onset symptom and the fulfilment of diagnostic criteria was calculated to be 4.3 +/- 5.7 years. The clinical severity score was significantly increased in the noncompliant treatment group compared with the compliant group with the passage of time (P < 0.001). The frequency of ocular involvement and genital ulcers was significantly higher in patients whose disease onset was at < 40 years. Genital ulcers, ocular involvement, papulopustular lesions, thrombophlebitis and skin pathergy reaction were found to be significantly more frequent in males. CONCLUSIONS: Mucocutaneous lesions are the hallmarks of the disease, and especially oral ulcers precede other manifestations. The increase in clinical severity score is more pronounced in patients without regular treatment and follow-up. Male sex and a younger age at onset are associated with more severe disease.

The aim of this study was to investigate the effectiveness of curcumin, β-myrcene (myrcene) and 1,8-cineole (cineole) on antioxidant defense system in rats given a persistent environmental pollutant (2,3,7,8-tetrachlorodibenzo-p-dioxin, TCDD). Rats (n = 112) were divided randomly into 8 equal groups. One group was kept as control and given corn oil as carrier. TCDD was orally administered at the dose of 2 μg/kg/week. Curcumin, myrcene and cineole were orally administered at the doses of 100 mg/kg/day, 200 mg/kg/day and 100 mg/kg/ day, respectively, by gavages dissolved in corn oil with and without TCDD. The liver samples were taken from half of all rats on day 30 and from the remaining half on day 60 for the determination of thiobarbituric acid reactive substances (TBARS), reduced glutathione (GSH), catalase (CAT), glutathione peroxidase (GSH-Px) and CuZn-SOD levels by spectrophotometric method. The results indicated that although TCDD significantly (p ≤ 0.01) increased formation of TBARS, it caused a significant decline in the levels of GSH, CAT, GSH-Px and CuZn-SOD in rats. In contrast, curcumin, myrcene and cineole significantly increased GSH, CAT, GSH-Px and CuZn-SOD levels but decreased formation of TBARS. Additionally, the antioxidative effects of curcumin, myrcene and cineole were increased at day 60 compared to day 30. In the TCDD groups given curcumin, myrcene and cineole, oxidative stress decreased by time. In conclusion, curcumin, myrcene and cineole showed antioxidant activity and eliminated TCDD-induced oxidative stress in rats in a time-dependent manner.

BACKGROUND: Chronic kidney disease (CKD) and immunosuppression, such as in renal transplantation (RT), stand as one of the established potential risk factors for severe coronavirus disease 2019 (COVID-19). Case morbidity and mortality rates for any type of infection have always been much higher in CKD, haemodialysis (HD) and RT patients than in the general population. A large study comparing COVID-19 outcome in moderate to advanced CKD (Stages 3-5), HD and RT patients with a control group of patients is still lacking. METHODS: We conducted a multicentre, retrospective, observational study, involving hospitalized adult patients with COVID-19 from 47 centres in Turkey. Patients with CKD Stages 3-5, chronic HD and RT were compared with patients who had COVID-19 but no kidney disease. Demographics, comorbidities, medications, laboratory tests, COVID-19 treatments and outcome [in-hospital mortality and combined in-hospital outcome mortality or admission to the intensive care unit (ICU)] were compared. RESULTS: A total of 1210 patients were included [median age, 61 (quartile 1-quartile 3 48-71) years, female 551 (45.5%)] composed of four groups: control (n = 450), HD (n = 390), RT (n = 81) and CKD (n = 289). The ICU admission rate was 266/1210 (22.0%). A total of 172/1210 (14.2%) patients died. The ICU admission and in-hospital mortality rates in the CKD group [114/289 (39.4%); 95% confidence interval (CI) 33.9-45.2; and 82/289 (28.4%); 95% CI 23.9-34.5)] were significantly higher than the other groups: HD = 99/390 (25.4%; 95% CI 21.3-29.9; P < 0.001) and 63/390 (16.2%; 95% CI 13.0-20.4; P < 0.001); RT = 17/81 (21.0%; 95% CI 13.2-30.8; P = 0.002) and 9/81 (11.1%; 95% CI 5.7-19.5; P = 0.001); and control = 36/450 (8.0%; 95% CI 5.8-10.8; P < 0.001) and 18/450 (4%; 95% CI 2.5-6.2; P < 0.001). Adjusted mortality and adjusted combined outcomes in CKD group and HD groups were significantly higher than the control group [hazard ratio (HR) (95% CI) CKD: 2.88 (1.52-5.44); P = 0.001; 2.44 (1.35-4.40); P = 0.003; HD: 2.32 (1.21-4.46); P = 0.011; 2.25 (1.23-4.12); P = 0.008), respectively], but these were not significantly different in the RT from in the control group [HR (95% CI) 1.89 (0.76-4.72); P = 0.169; 1.87 (0.81-4.28); P = 0.138, respectively]. CONCLUSIONS: Hospitalized COVID-19 patients with CKDs, including Stages 3-5 CKD, HD and RT, have significantly higher mortality than patients without kidney disease. Stages 3-5 CKD patients have an in-hospital mortality rate as much as HD patients, which may be in part because of similar age and comorbidity burden. We were unable to assess if RT patients were or were not at increased risk for in-hospital mortality because of the relatively small sample size of the RT patients in this study.

AIMS: Lactobacilli are widely distributed in food and the environment, and some colonize the human body as commensal bacteria. The aim of this study was to determine the species of lactobacilli that colonize the vagina and compare them with those found in food and the environment. METHODS AND RESULTS: Thirty-five Lactobacillus strains from women from seven countries were isolated, and sequences from 16S rRNA genes were determined and compared with existing data in GenBank. A phylogenetic tree was achieved using the Neighbour-Joining method based on the analysis of 1465 nucleotides. The results showed that most vaginal isolates were L. crispatus, L. jensenii and L. gasseri. Some were L. vaginalis, L. fermentum, L. mucosae, L. paracasei and L. rhamnosus. Two isolates from a native American woman displayed distinct branches, indicating novel phylotypes. Few vaginal isolates matched food or environmental Lactobacillus species. CONCLUSIONS: Most women worldwide were colonized by three common Lactobacillus species: L. crispatus, L. jensenii and L. gasseri. SIGNIFICANCE AND IMPACT OF THE STUDY: Knowledge of vaginal Lactobacillus species richness and distribution in women worldwide may lead to the design of better probiotic products as bacterial replacement therapy.