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Koleksiyondaki öğeler
- Kitap BölümüYalnız künye2022Symptom and Life Quality Management in Oncology Patients
Demir Doğan, Melike
Quality of life is a multidimensional concept. Therefore, its assessment includes many parameters ranging from happiness and well-being of individuals to environmental quality and ecological structures. A good symptom management is associated with less symptom formation and thus with a better quality of life. Non-pharmacological interventions typically include various psychosocial, behavioral and environmental strategies that can complete traditional treatment to increase the quality of life for cancer patients.
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İncele - MakaleAçık Erişim2025Inhibition Effect of Diosmin Flavanoid on Some Metabolic Enzymes and Investigation of Antioxidant Properties
Balci, Neslihan
Diosmin is a natural flavonoid obtained by dehydrating flavanone glycoside hesperidin. This study evaluated the inhibition effects of diosmin flavonoid on human carbonic anhydrases (hCA I and hCA II) and acetylcholinesterase (AChE) enzymes, which are linked to various health issues, and compared the results with standard drugs. The antioxidant potential was assessed using five assays, namely DPPH, ABTS, FRAP, CUPRAC and Fe3+ reducing assays. The results determined that diosmin didn’t exhibit strong antioxidant activity. Additionally, the inhibition effects of diosmin on hCA I, hCA II, and AChE enzymes were examined. It effectively inhibited hCA I and hCA II enzymes with Ki values of 3.84±0.63 nM and 15.64±1.90 nM, respectively (Table 1). For comparison, the Ki values of the standard drug AZA were 1.44 ± 0.32 nM for hCA I and 3.66 ± 0.25 nM for hCA II. On the other hand, diosmin effectively inhibited AChE enzymes with Ki values of 9.31±2.40 nM. The Ki values of the standard drug Tacrine was 6.22±1.95 nM for AChE. These findings suggest that diosmin may serve as a selective enzyme inhibitor, particularly for hCA I, but has limited antioxidant capacity. Diosmin exhibited relatively weak antioxidant activity compared to standard antioxidants.
- MakaleAçık Erişim2025Scopus SJRQ4Analysis of factors affecting the import demand for wheat and corn in Türkiye using the Seemingly Unrelated Regression Method; [Türkiye’de buğday ve mısır ithalat talebini etkileyen faktörlerin Görünüşte İlişkisiz Regresyon Yöntemine göre analizi]
Merdan, Kurtuluş; Çomakli, Şafak Ertan
Objective: In this study, it is aimed to analyze the determining factors on the import demand for wheat and corn, which have an important place in Türkiye's grain imports, with the "Apparently Unrelated Regressions" model. Material and Methods: The data set used in this study consists of annual data covering the years 2006-2021. Stata program was used to analyze the data used in the study. Since Stata or Eviews programs do not provide the Standardized Beta (β) coefficient, statistical analyzes were performed using the formula in Microsoft Excel (β=B*SSXi / SSY). Results: Only the one-year delayed value of wheat imports, which is one of the explanatory variables in the wheat import model, was found to be significant, according to the study's findings. In terms of factors influencing corn import demand, similar results were obtained. Only total corn consumption was found to be statistically noteworthy among the explanatory variables in the corn import model. Conclusion: Based on these findings, wheat imports are influenced by changes in wheat imports from a year ago, while corn imports are influenced by changes in total corn consumption. Based on Türkiye's current structure and the findings obtained, it is understood that the country may continue to maintain its position as an importer of wheat and corn in the future.
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İncele - MakaleAçık Erişim2024Scopus SJRQ1Evaluation of microbiological, antioxidant, thermal, rheological and sensory properties of ice cream fermented with kefir culture and flavored with mint (Menthaspicata L.)
Öztürk-Yalçın, Feyza; Ürkek, Bayram; Şengül, Mustafa
Kefir is a healthy fermented dairy product, while ice cream is one of the most consumed dairy products. In this research, ice cream was fermented using a commercial kefir culture and flavored with a mint aroma in different proportions: 0% (KI), 0.2% (KIM2), 0.4% (KIM4), and 0.6% (KIM6). The study investigated the microbiological, thermal, rheological, textural, compositional, and sensory properties as well as antioxidant activity of kefir ice cream samples during 45-day storage. The lactic bacilli, lactic cocci, and Leuconostoc counts of samples were >7 log CFU/g, while the yeast counts were <4 log CFU/g. The microbiological properties (except for yeast counts) of the samples were coherent with legal limits. Antioxidant values (except for samples KIM2 and KIM6) values did not indicate significant differences (p <.05). The pH and melting rate values of the samples decreased with the addition of mint flavor, while acidity values increased. The addition of mint aroma caused significant changes in the thermal properties of ice cream. The overrun, a*, WI, and hardness values of the samples decreased based on the mint flavor concentration, whereas the viscosity and rheological increased. Samples KI and KIM2 were scored higher than other samples for all sensory properties. As a result, fermented ice cream flavored (0.2% mint) with mint could be produced as a desirable dairy product with potential functional properties.
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İncele - MakaleAçık Erişim2024Scopus SJRQ4STRATEGIC FLASHPOINTS: NATO’S CONTAINMENT OF RUSSIA IN THE BLACK SEA AND ARCTIC REGIONS; [Puncte fierbinți strategice: îngrădirea Rusiei de către NATO în zona Mării Negre și în regiunea arctică]
Aksoy, Metin; Limon, Onur; Limon, Elif Gürdal
This study examines the strategic significance of NATO’s containment policy in the Black Sea and Arctic regions and its impact on Russia’s geopolitical and military responses. These areas, once peripheral to play only a minor role in global security dynamics, have become critical flashpoints because of NATO enlargement and increasing Russian aggression. By applying George Kennan’s containment theory to NATO’s post-Cold War strategy, this study examines how NATO’s actions have contributed to the escalation of tensions in these regions. The analysis addresses the challenges and risks NATO faces in maintaining its containment approach and offers insights into the future relationship between NATO and Russia.
- MakaleAçık Erişim2025Scopus SJRQ1Sol–Gel Synthesized CuFe2O4-Modified Biochar Derived from Tea Waste for Efficient Ni(II) Removal: Adsorption, Regeneration, and ANN Modeling
Duran, Celal; Ozeken, Sengul Tugba; Seker, Serdal; Ozdes, Duygu
In the present research, a novel magnetic adsorbent was developed via the sol–gel method by coating CuFe2O4 nanoparticles on biochar sourced from brewed tea waste. The synthesized adsorbent was utilized for the removal of Ni(II) ions from aqueous media. The adsorption efficiency of Ni(II) ions was assessed under crucial experimental conditions such as initial solution pH, contact time, adsorbent dosage, and initial Ni(II) concentration. The adsorbent exhibited rapid adsorption kinetics, achieving equilibrium in approximately 15 min, and maintained high efficiency across a wide pH range. Adsorption experiments were conducted for Ni(II) solutions at their natural pH (5.6) to minimize chemical usage and enhance process simplicity. An impressive maximum adsorption capacity of 232.6 mg g−1 was recorded, outperforming many previously reported adsorbents. Furthermore, desorption studies demonstrated nearly 100% recovery of Ni(II) ions using 1.0 M HCl solution, indicating excellent regeneration potential of the adsorbent. Additionally, the prediction performance of an artificial neural network (ANN) model was evaluated to predict Ni(II) removal efficiency based on experimental variables, showing strong agreement with experimental data. Isotherm and kinetic models were also applied to the data to estimate the adsorption mechanisms. These findings demonstrate the promise of CuFe2O4-modified tea waste biochar for sustainable water treatment applications.
AtıfScopus4WoS4OpenAlex4İncele - MakaleAçık Erişim2024Scopus SJRQ1Performance of differently arranged double-tuned mass dampers for structural seismic response control including soil-structure interaction
Araz, Onur; Elias, Said
Reducing vibrations occurring in structures under environmental loads makes a significant contribution to the development of structural safety. Tuned mass dampers (TMD) are one of the systems commonly used to control structural vibrations. Since TMD is adjusted according to the dominant frequency of the structure, factors that may cause changes in the frequency of the structure can significantly reduce the effectiveness of TMD. One of the main factors that can cause changes in the frequency values of the structure is the interaction between the structure and the soil. To overcome this situation, it is recommended to apply control systems consisting of multiple TMDs (MTMD) to the main structure instead of a single TMD. MTMD systems are arranged in two different types, serial and parallel. In this paper, a methodology that considers the structure-soil interaction (SSI) is presented for the optimum design of control systems with different configurations placed on a main structure under the influence of ground motion. To research the SSI effects, the TMDs-structure coupled system is supported by rocking and swaying springs and the corresponding dashpots, and then the equations of motions of the structural system are derived. In the optimization process based on particle swarm optimization in the frequency domain, different soil types, configuration types, and mass ratios are considered. The efficiency of optimum TMDs arranged in series and parallel is also evaluated using near and far fault ground motions in the time domain. Numerical results show that if structures are constructed on soils with low shear wave velocities, ignoring SSI can significantly change the design parameters and effectiveness of the control system.
AtıfScopus34WoS30OpenAlex32İncele - MakaleAçık Erişim2025Scopus SJRQ2A Safe and Efficient Brain–Computer Interface Using Moving Object Trajectories and LED-Controlled Activation
Aydin, Sefa; Melek, Mesut; Gökrem, Levent
Nowadays, brain–computer interface (BCI) systems are frequently used to connect individuals who have lost their mobility with the outside world. These BCI systems enable individuals to control external devices using brain signals. However, these systems have certain disadvantages for users. This paper proposes a novel approach to minimize the disadvantages of visual stimuli on the eye health of system users in BCI systems employing visual evoked potential (VEP) and P300 methods. The approach employs moving objects with different trajectories instead of visual stimuli. It uses a light-emitting diode (LED) with a frequency of 7 Hz as a condition for the BCI system to be active. The LED is assigned to the system to prevent it from being triggered by any involuntary or independent eye movements of the user. Thus, the system user will be able to use a safe BCI system with a single visual stimulus that blinks on the side without needing to focus on any visual stimulus through moving balls. Data were recorded in two phases: when the LED was on and when the LED was off. The recorded data were processed using a Butterworth filter and the power spectral density (PSD) method. In the first classification phase, which was performed for the system to detect the LED in the background, the highest accuracy rate of 99.57% was achieved with the random forest (RF) classification algorithm. In the second classification phase, which involves classifying moving objects within the proposed approach, the highest accuracy rate of 97.89% and an information transfer rate (ITR) value of 36.75 (bits/min) were achieved using the RF classifier.
AtıfScopus4WoS5OpenAlex3İncele - MakaleYalnız künye2025Scopus SJRQ2Evaluation of soil-structure resonance by determining local soil conditions in Gümüşhane city center
Altundaş, Suna; Tanış, Abdulsamed
Recent earthquakes have adversely affected human life, highlighting the necessity of identifying structural and ground conditions to assess risky areas and mitigate potential damage from future seismic events. Gümüşhane, the designated study area, is susceptible to the impacts of a possible earthquake due to its proximity to the North Anatolian Fault Zone (NAFZ). Accordingly, vertical electrical sounding (VES), multi-channel analysis of surface waves (MASW), and microtremor methods were employed in the central district of Gümüşhane to characterize local ground conditions and to evaluate the resonance hazard potential arising from the interaction between structures and the underlying soil. Dominant period (T0) and frequency (f0), spectral amplification (A0), soil index of vulnerability (Kg), average S wave velocity for 30 m depth (Vs30), ground type, and soil-structure resonance hazard potential were determined. For the study area, f0 values between 1.32–8.91 Hz (T0 values varied between 0.11–0.76 s), A0 values between 0.93–7.63 according to horizontal/vertical spectral ratio (HVSR) analysis, and Vs30 values were between 390–886 m/sec to MASW. As a result of the evaluation of microtremor measurements made in all buildings using the floor spectral ratio (FSR) technique, the soil-structure potential resonance hazard was found to be low. The present study, conducted in Gümüşhane, examined the subject of soil-structure interaction. In the process of planning new residential areas, it is imperative to ensure the reliability of construction based on the local ground conditions. Furthermore, it is essential to determine the risk status of buildings in relation to potential earthquake movements.
AtıfScopus2WoS2OpenAlex2İncele - MakaleYalnız künye2025Scopus SJRQ2Disease Burden and Sexual Life in Patients with Fibromyalgia: A Phenomenological Study
Demir Çam, Sevgi; Uzun, Sevda; Koyunoğlu, Bedriye Cansu
The aim of this study was to evaluate the burden of disease and sexual life experiences in patients with fibromyalgia using a phenomenological approach. In the study using phenomenological research method, semi-structured in- depth interviews were conducted with 20 fibromyalgia patients who applied to the neurology outpatient clinic of a state hospital in a province in southern Turkey. Criterion sampling method, one of the purposive sampling methods, was used to reach the sample group. Interviews continued until data saturation was achieved. All interviews were recorded on a voice recorder after obtaining the necessary permissions from the patients and then transcribed. The data of the study were evaluated using thematic analysis. The study was conducted and reported according to the COREQ checklist. Data analysis revealed two main themes (effects of the disease and sexual problems and coping) and five sub-themes (mental, physical, social, problems and coping). As a result of the study, it was determined that the patients experienced serious physical, mental and social problems due to and their sexual life was also negatively affected. Individuals experience significant problems related to sexual life due to fibromyalgia. Since fibromyalgia is a multifaceted disease, professional evaluation of sexual life in patients and diagnosis of sexual dysfunctions are of great importance in terms of improving quality of life.
AtıfScopus1OpenAlex1İncele - Kitap BölümüAçık Erişim2025Sentiment analysis in employee experience using natural language processing and machine learning
Şimşek, Tugçe; Şimşek, Ahmet Bahadir
This chapter focuses on the use of sentiment analysis in the handling of employee experience. When organisations start thinking about the experience of their employees as a factor that influences performance and turnover, sentiment analysis provides a quantitative way of measuring emotions, satisfaction and engagement of employees. This chapter attentions on several NLP techniques that can be employed in the analysis of the employee feedback which include tokenization, stop- word removal and vectorization. It also looks at how other machine learning models such as Naive Bayes, Support Vector Machines, and Long Short- Term Memory can be used to categorize emotions as positive, negative, or neutral. In addition, the problem of language, culture, and data bias is described, and the ways to solve them are also described. The future potential of the real- time emotion analysis and the use of sentiment data along with the organizational KPIs for improving the management of employees' experience is depicted.
AtıfScopus1OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ3Effect of Credit Risk on Financial Performance of Deposit Banks in the BIST Bank Index; [Kredı̇ Rı̇skı̇ nı̇ n BIST Banka Endeksı̇ ndekı̇ Mevduat Bankalarının Fı̇ nansal Performansına Etkı̇sı̇ 2]
Erdoğdu, Aylin; Pala, Fahrettin
This study analyses the relationship between credit risk and the financial performance of nine Turkish deposit banks listed on Borsa Istanbul (BIST) from 2010 to 2021. Using panel data, it employs profitability ratios (ROA, ROE, NIM) as performance indicators, and various credit risk metrics (NLTA, NPL, TLTD, CAR) as explanatory variables. GDP growth and inflation are included as control variables. The credit risk rankings identified ICBC Turkey Bank A.Ş. as having the lowest credit risk and Şeker Bank A.Ş. as the highest, using the WASPAS multi-criteria decision-making technique.
- MakaleAçık Erişim2024Scopus SJRQ4On solutions of time fractional order random HIV/AIDS modelling
Merdan, Mehmet; Öktem, Selami
In this study, The fractional random HIV/AIDS model approximate analytical solutions were produced using the differential transformation method. The approximate analytical solution of the fractional order Random HIV/AIDS model was obtained with the help of the differential transformation method. For the fractional random HIV/AIDS model, which was created by choosing the initial conditions from the exponential, beta, and normal distributions, graphic simulations of the expected value, variance, and confidence intervals of the most commonly used probability characteristics were obtained with the help of the MATLAB package program. Results obtained are interpreted.
AtıfScopus1WoS1İncele - MakaleAçık Erişim2024Scopus SJRQ2Investigation of nurses’ general attitudes toward artificial intelligence and their perceptions of ChatGPT usage and influencing factors
Tuncer, Gülsüm Zekiye; Tuncer, Metin
Purpose: This study aimed to investigate professional nurses’ general attitudes toward artificial intelligence, their knowledge and perceptions of ChatGPT usage, and the influencing factors. Methods: The population of the research consists of nurses who follow a social media platform account in Turkey. The sample of the study consisted of 288 nurses who participated in the study between December 2023 and March 2024. Data were collected through an account on a social media platform via Google Forms using the Information Identification Questionnaire for ChatGPT and Artificial Intelligence Programs and the General Attitudes to Artificial Intelligence Scale (GAAIS). Results: The mean scores obtained from the overall GAAIS and its Positive Attitudes subscale from the participants in this study were 67.54 ± 13.14 and 41.89 ± 11.24, respectively. Of the participants, 48.3% knew about ChatGPT and artificial intelligence programs. Of the participants, 27.8% used ChatGPT and artificial intelligence programs. Their scores for the Positive Attitude subscale were higher than were the scores of those who did not use such programs. Of the participants, 84.4% thought that nurses should be made aware of ChatGPT and artificial intelligence programs, 67% thought that the use of these programs would contribute to nurses’ professional development, 42.4% thought that the use of these programs would not reduce nurses’ workload, and 58.3% thought that the use of these programs would positively affect patient care. Conclusion: In this study, it can be said that nurses in Turkey have positive attitudes toward integrating ChatGPT and AI programs to improve patient outcomes and add them to nursing practices. Implications for nursing practice: The present study in which nurses’ attitudes toward the implementation of ChatGPT and artificial intelligence programs were investigated is expected to provide information for healthcare institutions, policy makers and artificial intelligence developers on the integration of ChatGPT and artificial intelligence into nursing practice. It is necessary to create environments that use AI technologies that reduce the nursing workload of nurses in the clinical area and positively affect the quality of patient care.
AtıfScopus47WoS47OpenAlex46İncele - MakaleAçık Erişim2023Scopus SJRQ1Daily precipitation performances of regression-based statistical downscaling models in a basin with mountain and semi-arid climates
Şan, Murat; Nacar, Sinan; Kankal, Murat; Bayram, Adem
The impacts of climate change on current and future water resources are important to study local scale. This study aims to investigate the prediction performances of daily precipitation using five regression-based statistical downscaling models (RBSDMs), for the first time, and the ERA-5 reanalysis dataset in the Susurluk Basin with mountain and semi-arid climates for 1979–2018. In addition, comparisons were also performed with an artificial neural network (ANN). Before achieving the aim, the effects of atmospheric variables, grid resolution, and long-distance grid on precipitation prediction were holistically investigated for the first time. Kling-Gupta efficiency was modified and used for holistic evaluation of statistical moments parameters at precipitation prediction comparison. The standard triangular diagram, quite new in the literature, was also modified and used for graphical evaluation. The results of the study revealed that near grids were more effective on precipitation than single or far grids, and 1.50° × 1.50° resolution showed similar performance to 0.25° × 0.25° resolution. When the polynomial multivariate adaptive regression splines model, which performed slightly higher than ANN, tended to capture skewness and standard deviation values of precipitations and to hit wet/dry occurrence than the other models, all models were quite well able to predict the mean value of precipitations. Therefore, RBSDMs can be used in different basins instead of black-box models. RBSDMs can also be established for mean precipitation values without dry/wet classification in the basin. A certain success was observed in the models; however, it was justified that bias correction was required to capture extreme values in the basin.
AtıfScopus26WoS27İncele - MakaleAçık Erişim2023Scopus SJRQ2Energy and economic assessments of waste heat recovery by designs of economizer, condensing economizer and air preheater; [Ekonomizer, yoğuşmalı ekonomizer ve hava ön ısıtıcı tasarımları ile atık ısı geri kazanımının enerji ve ekonomik değerlendirilmesi]
Terhan, Meryem; Özağdaş, Emre; Omar, Muhammed Arslan
In this study, the waste heat loss of flue gases from the boilers of Kafkas University district heating system has been calculated between 6-8% according to the combustion analysis and the annual cost of this heat loss has been found as $58,658.79. In terms of energy efficiency and the national economy, we think that this lost energy should be recovered as much as possible and fuel and energy savings should be achieved. In the paper, the effects of variants such as air excess coefficient, flue gas temperature, boiler capacity and fuel consumption on the heat recovery from flue gas have been presented in detail. The heat recovery scenarios have been presented for reusing this waste energy for space heating, domestic hot water, and preheating combustion air and the applicability of these scenarios has been investigated in terms of thermodynamics and economics. According to the results of the study, in the second scenario examined to cover the domestic hot water need of the guest house building, the energy savings of the scenario can be provided during 20 years of economic life is $122,820.83, and it has the highest savings income among the scenarios. In addition, it is possible to recover approximately 50% of the flue gas loss with thanks to the scenario. On the other hand, the third scenario of heating the boiler combustion air with waste heat is the easiest and most economical scenario because its payback period is only one year, and there are no extra excavation and pipe costs.
AtıfScopus2WoS2OpenAlex5TR Dizin3İncele - MakaleYalnız künye2023Scopus SJRQ2Endemic Mountain Tea (Sideritis dichotoma Huter): Antioxidant and Antibacterial Activities, Mineral Content by ICP-MS and Phytochemical Content by LCHR-MS
Öztürk Sarıkaya, Sevim Beyza; Zehiroğlu, Cuma
Endemic Sideritis dichotoma Huter, herbal tea, is used for colds, coughs and digestive ailments. Since at least 25 % of the active ingredients of pharmacological drugs are obtained from plants, it is important to investigate many plants, both traditionally used and whose potential hasnt yet been discovered, before they disappear. When the results compared to other Sideritis species, it has better antioxidant activity in DPPH⋅ scavenging activity, Fe3+ and Cu2+ reducing capacity methods and is also rich in minerals, necessary for human body, K, Mg, Ca, P, S. Zone values (10–19,5 mm) obtained on S. aureus, P. aeruginosa, E. coli, S.enteritidis, E. faecalis, P. putida and K. pnemoniae strains are an indication that the plant has antibacterial activity. 27 secondary metabolites were identified by LC-HRMS. Verbascoside, pharmacologically active compound known to have antitumor effect, cytotoxic selectivity and anticancer activity, is the most abundant phenolic in ethanol extract (49297.13 mg/kg).
AtıfScopus7WoS6OpenAlex8İncele - MakaleYayıncıda açık erişim2023Scopus SJRQ2Worldwide cotton production and trade during COVID-19 pandemic: An empirical analysis for a three-year observation
Erkencioglu, Bedriye N.; Zuhal, Mustafa; Tokel, Dilek; Ozyigit, Ibrahim I.
The COVID-19 pandemic has posed a significant impact on agriculture. Due to its importance in world trade and human life, the effects of the pandemic on the cotton economy were evaluated by using the data of important organizations such as the U.S. Department of Agriculture, the World Trade Organization, and International Cotton Advisory Committee in this study. With the Chow test, which measures of structural breaks, the effects of COVID-19 on cotton production and trade were examined. According to the Chow test results, the pandemic had no significant effect on cotton production, exports and imports in the People’s Republic of China and Türkiye, while being highly influential on cotton production and exports in the U.S. and Brazil. Distinctively, in Pakistan, it had a significant impact on cotton production and import. It was observed that although the demand, trade and prices for cotton were descended, the cotton prices started to recover with the increase in demand in the third quarter of 2020. In June 2022, the highest peak in cotton prices was observed. As a conclusion, it is shown that cotton production and trade during the pandemic were affected in all countries except People’s Republic of China and Türkiye. However, the marks of the effects of factors such as decreasing stocks, uncertainties in national economies, high inflation and increase in production costs on the cotton economy will be better understood in the coming years.
AtıfScopus3WoS3OpenAlex5İncele - MakaleYalnız künye2023Scopus SJRQ2Annual Trends of Precipitation and Temperature in the Northwestern Part of Turkey Using Innovative Approaches: A Holistic and Partial Study
Akçay, Fatma; Şan, Murat; Nacar, Sinan; Kankal, Murat
Trend analysis benefits collecting and analyzing reliable data in climate change studies. In this context, long-term temperature and precipitation data analysis, two variables sensitive to climate change, is essential. This study aims to holistically and partially determine the annual trends of precipitation and temperature time series for 1970–2019 at nine selected stations in the Susurluk Basin, Turkey. The innovative trend significance test (ITST), innovative crossing trend analysis (ICTA) method, and Mann-Kendall (MK) test were used to determine holistic trends. Also, partial trends were determined using successive average methodology (SAM). For the precipitation variable, while an increasing trend was determined for the ITST, there was mostly no trend for the other methods. While a strong increasing trend was detected for the temperature according to the ITST and MK methods, no trend was observed in any station according to the ICTA method. According to the SAM results, the maximum trend durations for the peak and trough change points were 4.9 (10.3) and 5.3 (8.4) years, respectively, for precipitation (temperature). The strong temperature trends in the basin will likely continue, requiring precautions against extreme events such as drought.
AtıfScopus16WoS13OpenAlex18İncele - MakaleAçık Erişim2023Scopus SJRQ3Three Sphagnum taxa new to Turkey and South-West Asia; [Tri Sphagnum taksona nova za Tursku i jugozapadnu Aziju]
Özen-Öztürk, Öznur; Özdemir, Turan; Batan, Nevzat; Erata, Hüseyin
Sphagnum jensenii, S. fallax var. isoviitae, and S. pylaesii were found as new to Turkey and Southwest Asia following a bryological field trip to the Giresun province of Turkey. Sphagnum fallax var. isoviitae was also new to Asia. Descriptions, illustrations, world distribution, ecology, and comparisons with related species are presented
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