Süleyman Demirel University

BACKGROUND AND AIMS: The usage of smartphones has increased rapidly in recent years, and this has brought about addiction. The aim of the current study was to investigate the relationship between smartphone use severity and sleep quality, depression, and anxiety in university students. METHODS: In total, 319 university students (203 females and 116 males; mean age = 20.5 ± 2.45) were included in the study. Participants were divided into the following three groups: a smartphone non-user group (n = 71, 22.3%), a low smartphone use group (n = 121, 37.9%), and a high smartphone use group (n = 127, 39.8%). All participants were evaluated using the Pittsburgh Sleep Quality Index, Beck Depression Inventory, Beck Anxiety Inventory; moreover, participants other than those in the smartphone non-user group were also assessed with the Smartphone Addiction Scale. RESULTS: The findings revealed that the Smartphone Addiction Scale scores of females were significantly higher than those of males. Depression, anxiety, and daytime dysfunction scores were higher in the high smartphone use group than in the low smartphone use group. Positive correlations were found between the Smartphone Addiction Scale scores and depression levels, anxiety levels, and some sleep quality scores. CONCLUSIONS: The results indicate that depression, anxiety, and sleep quality may be associated with smartphone overuse. Such overuse may lead to depression and/or anxiety, which can in turn result in sleep problems. University students with high depression and anxiety scores should be carefully monitored for smartphone addiction.

Abstract Under the growing threats of climate change, innovation and pollution reduction have become driving forces for cleaner economic growth and the environment. This study endeavors to analyze the effect of economic complexity—understood as structural transformation toward more sophisticated and knowledge‐based production, economic progress, renewable energy consumption, and population growth over carbon emissions. Our study employs panel data for a sample of 28 OECD countries covering the period of 1990–2014. The main contribution to the energy economics literature is given by bringing together the concept of environmental degradation and economic complexity controlling via renewable energy consumption and economic and population growth. Based on the extensive empirical analysis (augmented mean group estimator, panel cointegration, and panel regression techniques), we conclude that economic complexity and renewable energy might help in mitigating the environmental degradation problems in OECD countries.

Abstract To solve a long-lasting controversy on the timing and mechanism of generation of the western Anatolian graben system, new data have been collected from a mapping project in western Anatolia, which reveal that initially north-south trending graben basins were formed under an east-west extensional regime during Early Miocene times. The extensional openings associated with approximately north-south trending oblique slip faults provided access for calc-alkaline, hybrid magmas to reach the surface. A north-south extensional regime began during Late Miocene time. During this period a major breakaway fault was formed. Part of the lower plate was uplifted and cropped out later in the Bozdağ, Horst, and above the upper plate approximately north-south trending cross-grabens were developed. Along these fault systems, alkaline basalt lavas were extruded. The north-south extension was interrupted at the end of Late Miocene or Early Pliocene times, as evidenced by a regional horizontal erosional surface which developed across Neogene rocks, including Upper Miocene-Lower Pliocene strata. This erosion nearly obliterated the previously formed topographic irregularities, including the Bozdağ elevation. Later, the erosional surface was disrupted and the structures which controlled development of the Lower-Upper Miocene rocks were cut by approximately east-west trending normal faults formed by rejuvenated north-south extension. This has led to development of the present-day east-west trending grabens during Plio-Quaternary time.

This study explored Facebook addiction among Turkish college students and its behavioral, demographic, and psychological health predictors. The Facebook Addiction Scale (FAS) was developed and its construct validity was assessed through factor analyses. A total of 447 students reported their personal information and Facebook usage and completed the FAS and General Health Questionnaire (GHQ-28). The results revealed that weekly time commitment, social motives, severe depression, and anxiety and insomnia positively predicted Facebook addiction. Neither demographic variables nor the interactions of gender by usage characteristics were found to be significant predictors.

A variety of natural vinegar products are found in civilizations around the world. A review of research on these fermented products indicates numerous reports of health benefits derived by consumption of vinegar components. Therapeutic effects of vinegar arising from consuming the inherent bioactive components including acetic acid, gallic acid, catechin, ephicatechin, chlorogenic acid, caffeic acid, p-coumaric acid, and ferulic acid cause antioxidative, antidiabetic, antimicrobial, antitumor, antiobesity, antihypertensive, and cholesterol-lowering responses. The aims of this article are to discuss vinegar history, production, varieties, acetic acid bacteria, and functional properties of vinegars.

OBJECTIVES: The aim of the present study was to investigate the effect of improved periodontal health on metabolic control in type 2 diabetes mellitus (DM) patients. MATERIAL AND METHODS: Fourty-four patients with type 2 DM were selected. Subjects were randomly assigned into two groups. DATA COLLECTION: Plaque index (PI), gingival index (GI), probing pocket depth (PPD), clinical attachment levels (CALs), gingival recession (GR) and bleeding on probing (BOP) were recorded at baseline at 1st and 3rd months. Fasting plasma glucose (FPG), 2-h post-prandial glucose (PPG), glycated haemoglobin (HbA1c), total cholesterol (TC), triglyceride (TG), HDL-cholesterol, LDL-cholesterol and microalbuminure were analysed at baseline, 3 months following the periodontal therapy. The treatment group received full-mouth scaling and root planing whereas the control group received no periodontal treatment. RESULTS: A statistically significant effect could be demonstrated for PI, GI, PPD, CAL and BOP for the treatment group. HbA1c levels in the treatment group decreased significantly whereas the control group showed a slight but insignificant increase for this parameter. CONCLUSIONS: The results of our study showed that non-surgical periodontal treatment is associated with improved glycaemic control in type 2 patients and could be undertaken along with the standard measures for the diabetic patient care.

Waste electrical and electronic equipment (WEEE) contains economically significant levels of precious, critical metals and rare earth elements, apart from base metals and other toxic compounds. Recycling and recovery of critical elements from WEEEs using a cost-effective technology are now one of the top priorities in metallurgy due to the rapid depletion of their natural resources. More than 150 publications on WEEE management, leaching and recovery of metals from WEEE were reviewed in this work, with special emphasize on the recent research (2015)(2016)(2017)(2018). This paper summarizes the recent progress regarding various hydrometallurgical processes for the leaching of critical elements from WEEEs. Various methodologies and techniques for critical elements selective recovery (using ionic liquids, solvent extraction, electrowinning, adsorption, and precipitation) from the WEEEs leachates are discussed. Future prospects regarding the use of WEEEs as secondary resources for critical raw materials and its technoeconomical and commercial beneficiaries are discussed.

Summary An analysis of incidence of Phytophthora spp. in 732 European nurseries producing forest transplants, larger specimen trees, landscape plants and ornamentals, plus 2525 areas in which trees and shrubs were planted, is presented based on work conducted by 38 research groups in 23 European countries between 1972 and 2013. Forty‐nine Phytophthora taxa were recorded in 670 nurseries (91.5%); within these nurseries, 1614 of 1992 nursery stands (81.0%) were infested, although most affected plants appeared healthy. In forest and landscape plantings, 56 Phytophthora taxa were recovered from 1667 of 2525 tested sites (66.0%). Affected plants frequently showed symptoms such as crown thinning, chlorosis and dieback caused by extensive fine root losses and/or collar rot. Many well‐known highly damaging host– Phytophthora combinations were frequently detected but 297 and 407 new Phytophthora –host associations were also observed in nurseries and plantings, respectively. On average, 1.3 Phytophthora species/taxa per infested nursery stand and planting site were isolated. At least 47 of the 68 Phytophthora species/taxa detected in nurseries and plantings were exotic species several of which are considered well established in both nurseries and plantings in Europe. Seven known Phytophthora species/taxa were found for the first time in Europe, while 10 taxa had not been previously recorded from nurseries or plantings; in addition, 5 taxa were first detections on woody plant species. Seven Phytophthora taxa were previously unknown to science. The reasons for these failures of plant biosecurity in Europe, implications for forest and semi‐natural ecosystems and possible ways to improve biosecurity are discussed.

From the frontiers of research on ice dynamics in its broadest sense, this review surveys the structures of ice, the patterns or morphologies it may assume, and the physical and chemical processes in which it is involved. Open questions in the various fields of ice research in nature are highlighted, ranging from terrestrial and oceanic ice on Earth, to ice in the atmosphere, to ice on other Solar System bodies and in interstellar space.

Homology modeling is one of the computational structure prediction methods that are used to determine protein 3D structure from its amino acid sequence. It is considered to be the most accurate of the computational structure prediction methods. It consists of multiple steps that are straightforward and easy to apply. There are many tools and servers that are used for homology modeling. There is no single modeling program or server which is superior in every aspect to others. Since the functionality of the model depends on the quality of the generated protein 3D structure, maximizing the quality of homology modeling is crucial. Homology modeling has many applications in the drug discovery process. Since drugs interact with receptors that consist mainly of proteins, protein 3D structure determination, and thus homology modeling is important in drug discovery. Accordingly, there has been the clarification of protein interactions using 3D structures of proteins that are built with homology modeling. This contributes to the identification of novel drug candidates. Homology modeling plays an important role in making drug discovery faster, easier, cheaper, and more practical. As new modeling methods and combinations are introduced, the scope of its applications widens.

Critical raw materials (CRMs) are essential in the development of novel high-tech applications. They are essential in sustainable materials and green technologies, including renewable energy, emissionfree electric vehicles and energy-efficient lighting. However, the sustainable supply of CRMs is a major concern. Recycling end-of-life devices is an integral element of the CRMs supply policy of many countries. Waste electrical and electronic equipment (WEEE) is an important secondary source of CRMs. Currently, pyrometallurgical processes are used to recycle metals from WEEE. These processes are deemed imperfect, energy-intensive and non-selective towards CRMs. Biotechnologies are a promising alternative to the current industrial best available technologies (BAT). In this review, we present the current frontiers in CRMs recovery from WEEE using biotechnology, the biochemical fundamentals of these bio-based technologies and discuss recent research and development (R&D) activities. These technologies encompass biologically induced leaching (bioleaching) from various matrices,biomass-induced sorption (biosorption), and bioelectrochemical systems (BES).

Objective: Smartphones have many features such as communication, internet, photography, multimedia and navigation, and are currently one of the most popular technological devices. Usage of smartphones has increased rapidly and this rapid increase has brought about addiction and problematic usage. To our knowledge, there is no scale, which can be used to assess addiction to smartphones in the Turkish population. The aim of this study was to adapt Turkish terminology and to assess the reliability and validity of the Turkish version of the Smartphone Addiction Scale.Methods: The sample was composed of 301 students studying at the Faculty of Medicine, Süleyman Demirel University, who used smartphones. In the study, in addition to the Smartphone Addiction Scale, an Information Form, the Internet Addiction Scale and the Problem Mobile Phone Use Scale were used as tools for collecting data. The scales were given to all attendees in mixed order and the Information Form was always given at the first stage. It took about 20 minutes to complete the scales. Test-retest application was made with 30 randomly selected students (with the help of nicknames) three weeks later. The factor structure of the scale was examined by factor analysis and the Varimax Rotation method. Internal consistency, split-half reliability and test-retest reliability analyses were conducted for the reliability analysis. Pearson correlation analysis was used to analyze criterion-related validity.Results: Factor analysis revealed a seven-factor structure and factor loadings of items that ranged from 0.349 to 0.824. The Cronbach's alpha coefficient was founded to be 0.947 for the scale. Correlations between the Smartphone Addiction Scale-Turkish version and the other scales were statistically significant. The test-retest reliability was high (r=0.814). The Guttman Split-half coefficient was calculated to be 0.893 in the split-half reliability analysis. The average total scores for girls were significantly higher than those for boys (p=0.03). There was a non-significant negative correlation between age and scale total score (r=-0.086, p=0.13). Average scale scores were the highest in users who used smartphones for over 16 hours. Average scale scores were significantly higher in users who used smartphones for over 16 hours compared with users of smartphones for less than 4 hours (p=0.01). We recorded the highest scale score in the game category. We didn't observe any statistical significance when comparing game scores with those of the internet (p=0.44) and social networking (p=0.98) categories. Additionally, total scores for gaming were significantly higher than those for voice calling (p=0.02), short text messaging (p=0.02) and other categories (p=0.04). Moreover, the participants who selected the answers ‘agree’ or ‘unsure’ as self-rating for smartphone addiction obtained significantly higher scores than the participants who answered ‘disagree’(p=0.01).Conclusion: In this study, we found that the Turkish version of the Smartphone Addiction Scale is a reliable and valid measurement tool for the evaluation of smartphone addiction.

Abstract Measurements from the CMS experiment at the LHC of dihadron correlations for charged particles produced in PbPb collisions at a nucleon–nucleon centre-of-mass energy of 2.76 TeV are presented. The results are reported as a function of the particle transverse momenta ( p T ) and collision centrality over a broad range in relative pseudorapidity (Δ η ) and the full range of relative azimuthal angle (Δ ϕ ). The observed two-dimensional correlation structure in Δ η and Δ ϕ is characterised by a narrow peak at (Δ η ,Δ ϕ )≈(0,0) from jet-like correlations and a long-range structure that persists up to at least |Δ η |=4. An enhancement of the magnitude of the short-range jet peak is observed with increasing centrality, especially for particles of p T around 1–2 GeV/ c . The long-range azimuthal dihadron correlations are extensively studied using a Fourier decomposition analysis. The extracted Fourier coefficients are found to factorise into a product of single-particle azimuthal anisotropies up to p T ≈3–3.5 GeV/ c for at least one particle from each pair, except for the second-order harmonics in the most central PbPb events. Various orders of the single-particle azimuthal anisotropy harmonics are extracted for associated particle p T of 1–3 GeV/ c , as a function of the trigger particle p T up to 20 GeV/ c and over the full centrality range.

In this study, spatiotemporal changes in Lake Burdur from 1987 to 2011 were evaluated using multi-temporal Landsat TM and ETM+ images. Support Vector Machine (SVM) classification and spectral water indexing, including the Normalized Difference Water Index (NDWI), Modified NDWI (MNDWI) and Automated Water Extraction Index (AWEI), were used for extraction of surface water from image data. The spectral and spatial performance of each classifier was compared using Pearson's r, the Structural Similarity Index Measure (SSIM) and the Root Mean Square Error (RMSE). The accuracies of the SVM and satellite-derived indexes were tested using the RMSE. Overall, SVM followed by the MNDWI, NDWI and AWEI yielded the best result among all the techniques in terms of their spectral and spatial quality. Spatiotemporal changes of the lake based on the applied method reveal an intense decreasing trend in surface area between 1987 and 2011, especially from 1987 to 2000, when the lake lost approximately one fifth of its surface area compared to that in 1987. The results show the effectiveness of SVM and MNDWI-based surface water change detection, particularly in identifying changes between specified time intervals.

Kefir is a unique cultured dairy product due to combined lactic acid and alcoholic fermentation of lactose in milk. Kefir is produced by microbial activity of "kefir grains" which have a relatively stable and specific balance of lactic acid bacteria and yeast. Due to the claimed health benefits of kefir which include reduction of lactose intolerance symptoms, stimulation of the immune system, lowering cholesterol, and antimutagenic and anticarcinogenic properties, kefir has become an important functional dairy food and consequently, research on kefir has increased in the past decade. In the following review, recent studies on the functional properties of kefir are reviewed.

Purpose The leadership shift from conventional to digital comes from the compulsory digitalization of the workplace because the technological progress provides the opportunity of doing work remotely, and this is a great advantage of reducing costs that stem from the offline workplace. Thus, this research aims at demonstrating the relationship between digitalization of leadership and innovative work behavior. Design/methodology/approach Data were collected from 320 Turkish department managers in the Textile Industry through digital leadership and innovate work behavior scales. The hypotheses were tested using path analysis. The analyses were conducted by using SPSS and AMOS package programs. Findings The results show that the employees’ perceptions of digital leadership have a positive and significant effect on all dimensions of an employee innovative work behavior. Also, the leaders with high digital skills were perceived positively by the employees and the employees tend to adapt innovative behaviors when they have the digitally skilled leaders. Originality/value This study contributes to leadership research by providing evidence for the role of leadership shift in innovative work behavior. Extending the verification of leadership shift in innovative work behavior that can be adopted in Turkey has also been considered.

This paper discusses findings of a mixed method approach to a study of the development of a community of inquiry in an online and a blended learning environment. A graduate course delivered online and in a blended format was the context of the study. Data were gathered from the Community of Inquiry Survey, transcript analysis of online discussions, and interviews with students and the course instructor. Using multiple qualitative and quantitative data sources, the goal was to explore the developmental differences of the three presences (social, teaching, and cognitive) in the community of inquiry framework and students’ perceptions of a community of inquiry. The results indicated that in both the online and blended course a community of inquiry developed and students could sense each presence. However, the findings revealed developmental differences in social and cognitive presence between the two course formats with higher perceptions in the blended course.

Hardware, low power consumption, high accuracy and performance are crucial factors for deep learning applications. High level graphics processing units (GPU) are commonly used in high performance deep learning applications. However, it is a lot in terms of cost and power consumption to build a high-performance platform. In this study, performances of single-board computers in NVIDIA Jetson Nano, NVIDIA Jetson TX2 and Raspberry PI4 through CNN algorithm created by using fashion product images dataset are compared. 2D CNN model has been developed so as to classify 13 different fashion products in tests. Data set is comprised of 45K pictures. Parameters for performance analysis has been defined as consumption (GPU, CPU, RAM, Power), accuracy and cost. Data set is divided into parts of 5K, 10K, 20K, 30K and 45K in training and test of the model in order to expand on the differences of single-board computers. Eventually, performance of the embedded system boards in different data set in CNN algorithm is analyzed. It is, thus, aimed to attain high accuracy preference by minimum hardware requirements in deep learning applications.

A novel distyryl-substituted boradiazaindacene (bodipy) dye with an emission peak moving hypsochromically from 730 to 680 nm on Zn(II) ion binding seems to be promising as one of the very few water-soluble fluorescent chemosensors emitting in the near IR region.

The aim of this study was to compare the amount of apical extrusion during manual instrumentation and engine-driven rotary instrumentation in teeth with disrupted apical constriction. Fifty-two teeth were divided into two groups comprising 26 teeth each. Teeth in each group were further divided into two sub-groups, the apices of which were enlarged approximately to a diameter of 0.2 mm and 0.4 mm. One group was instrumented using standardized technique with K-files and the other with ProFile .04 Taper Series 29, while irrigating with sodium hypochlorite. Glass vial model was modified for collection of extruded debris and irrigant as well as to integrate an electronic apex locator to the experimental assemble. The statistical analysis using Student's t test revealed no significant difference between instrumentation with K-files and ProFile .04 taper files (p > 0.05). There was a tendency with both techniques to extrude apically more material as the diameter of the apical patency increased.