Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(66)
- Merdan, Mehmet(56)
- Duran, Celal(50)
- Ozdes, Duygu(47)
- Kaygusuz, Abdullah(42)
- Demir, Selim(37)
- Turan, Ibrahim(37)
- Ashyralyyev, Charyyar(34)
- Dokuz, Abdurrahman(33)
- Araz, Onur(31)
- Öztürk, Serkan(31)
- Sipahi, Ferkan(30)
- Kandemir, Raif(28)
- Arslan, Mehmet(27)
- Karsli, Orhan(27)
- Kulakaç, Nurşen(26)
- Baltacı, Cemalettin(25)
- Gücer, Mehmet Ali(25)
- Kurt, Kemal(25)
- Maden, Nafiz(25)
- Ozturk, Samet(25)
- Topal, Fevzi(25)
- Baltaci, Cemalettin(24)
- Yücel, Cem(24)
- Aliyazicioglu, Yuksel(23)
- Bayrakdaroglu, Serdar(23)
- Kankal, Murat(23)
- Peker, Iskender(23)
- Yolcu, Halil(23)
- Reis, Hatice Catal(21)
- Topal, Meryem(21)
- Vural, Alaaddin(21)
- Aydin, Aydanur(20)
- Aydin, Faruk(20)
- Bayraktar, Alemdar(20)
- Kurnaz, Muammer(20)
- Çelik, Necati(20)
- Ürkek, Bayram(20)
- Cakir, Tufan(18)
- Günen, Mehmet Akif(18)
Yayınlar
- MakaleYalnız künye2026Scopus SJRQ1Beyond reactive displacement: anticipatory mobility, climate governance, and the climate passport
Limon, Onur; Gürdal Limon, Elif
This article examines how existing mobility governance frameworks can be re-theorized to better align with the temporal dynamics of climate risk and the conditions shaping mobility decision-making. The analysis demonstrates that current mobility regimes systematically privilege discretionary, event-based protection while offering limited legal predictability or rights-based recognition for anticipatory and incremental mobility. Building on this analysis, the article develops the Climate Passport as a diagnostic framework rather than an operational policy instrument. The framework specifies three governance criteria that any adequate anticipatory mobility regime would need to satisfy: early recognition of climate risk before displacement becomes unavoidable, rights-based and legally predictable status for those facing slow-onset environmental harm, and institutional coherence across the currently fragmented domains of migration, refugee protection, and climate adaptation governance. Informed by the historical Nansen Passport and grounded in human rights and climate justice scholarship, the framework offers a systematic lens for examining how institutional architectures structure the timing, legitimacy, and accessibility of mobility under climate change. By reframing climate-related mobility as a structurally embedded component of adaptation rather than an exceptional failure of in situ resilience, the article contributes to interdisciplinary debates on migration, adaptation, and global justice.
- MakaleYayıncıda açık erişim2026Scopus SJRQ1Chitosan-Based Colloidal Delivery Systems as Natural Carriers for Propolis: Physicochemical Characterization and Application in Walnut Sausages
Mesci Dindar, Esra; Arserim-Uçar, Dılhun Keriman; Ayna, Adnan
In this study, a chitosan-based colloidal delivery systems (CDs) was developed as a natural delivery system for phenolic compounds from propolis extracts obtained via accelerated solvent extraction (ASE) and evaluated for improving the functional properties of walnut sausages. ASE propolis extract was incorporated into a chitosan (C)-based colloidal delivery system formulated with varying concentrations of diacetyl tartaric acid ester of mono- and diglycerides (DATEM) and lecithin (L). The formulation containing 2.5% chitosan, 12% DATEM and propolis, with a particle size of 265.9 nm and a ζ-potential of +40.8 mV, was selected for further characterization and food applications. The phenolic encapsulation of CDs depended on the structural characteristics of individual phenolic compounds, with chrysin (70.51%), vanillin (65.12%), and benzoic acid (51.26%) exhibiting the highest encapsulation; CD-treated walnut sausages decreased the lipid oxidation and improved the storage stability of the walnut sausages during storage. These findings indicate that the chitosan-based colloidal delivery system is a promising carrier for improving the encapsulation of propolis phenolics in walnut sausages.
- MakaleYalnız künye2026Scopus SJRQ2LC–MS/MS Phenolic Profiling and Antioxidant, Antimicrobial, and Antidiabetic Activities of Caucasian Propolis
Gültekin, Deniz Canbolat; Turan, İbrahim; Akmeşe, Osman; Gültekin, Ergün; Demir, Selim; Aliyazicioglu, Yüksel
Propolis is a natural bee product rich in phenolic and flavonoid compounds and is well known for its remarkable biological properties. In this study, the phenolic compositions of propolis samples collected from various localities in the Caucasus region of Türkiye were characterized using LC–MS/MS, and their antioxidant, antidiabetic, and antibacterial activities were also evaluated. LC–MS/MS analyses identified caffeic acid, ferulic acid, and p-coumaric acid as the major phenolic acid compounds, while pinocembrin, chrysin, and galangin were determined as the major flavonoid constituents. Overall, these findings indicate that the antioxidant capacity of propolis samples obtained from different regions may be particularly associated with these key phenolic and flavonoid compounds. Consistent with this composition, total phenolic and flavonoid contents ranged from 34.72 to 120.54 mg GAE/g and 6.88 to 47.19 mg QE/g, respectively. The extracts exhibited a relatively high antioxidant capacity, with FRAP values between 60.47 and 311.87 mg TE/g and DPPH IC50 values ranging from 215.80 to 37.96 µg/mL. Regarding antidiabetic activity, the IC50 values for α-amylase and α-glucosidase inhibition were determined as 5.86–3.47 and 12.22–5.02 mg/mL, respectively, indicating a pronounced antidiabetic potential. Antimicrobial analyses revealed activity against E. faecalis, B. cereus, E. coli, K. pneumoniae, and C. albicans. Overall, this study provides a comprehensive LC–MS/MS-based phenolic profile of Caucasian propolis and demonstrates its antioxidant properties together with its antidiabetic potential.
AtıfScopus2WoS2OpenAlex4
İncele - MakaleYalnız künye2026Scopus SJRQ3Purity of Density Operators for Non-Orthogonal Quantum States with Bounds and Applications to Quantum Fisher Information
Amirov, Orhan; Celik, Necati; Karabacak, Mesut
In this study, we investigate the purity of density operators constructed from non-orthogonal quantum states. Starting from a general statistical mixture of normalized states, we derive an explicit expression for the purity in terms of the associated probability distribution and the pairwise overlaps between the states, quantified by |⟨ψi|ψj⟩|2. This formulation clearly separates the contributions arising from classical probability weights and quantum interference effects induced by non-orthogonality. To further analyze the impact of state overlaps, we introduce an average overlap quantity that captures the global contribution of non-orthogonal components. Based on this representation, we establish upper bounds for the purity using both global and local overlap parameters. In particular, we show that the purity can be effectively controlled by the maximum pairwise overlap, eliminating the need to compute all individual inner products explicitly. A refined bound is also obtained by incorporating local overlap measures, leading to a tighter characterization of the system. In addition, we develop a general framework connecting overlap-based purity bounds with quantum Fisher information (QFI) in parameter-dependent quantum systems. We show that the overlap structure can be used to indirectly control and estimate the behavior of QFI, especially in cases where direct spectral analysis is not tractable. The applicability of the proposed approach is demonstrated through an explicit example involving non-orthogonal qubit states. These results provide a practical framework for estimating the mixedness of quantum states and offer useful insights into the interplay between non-orthogonality, purity, and quantum Fisher information in quantum information theory.
- Derleme MakaleYalnız künye2026Scopus SJRQ1Immunosuppressant adherence levels in kidney transplant recipients measured by electronic monitoring devices: A systematic review and meta-analysis
Tuncer, Metin; Yalcinkaya, Turgay; Erol, Ahmet; Özalp, Cemal
Background: Kidney transplantation improves survival and quality of life in patients with end-stage renal disease; however, long-term graft success depends on adherence to immunosuppressive therapy. Objective: To quantify adherence levels among kidney transplant recipients using electronic monitoring devices. Methods: PubMed, Web of Science, Scopus, and the Cochrane Library were systematically searched for studies published between 2000 and 2025. A random-effects meta-analysis was conducted including studies that assessed adherence using electronic monitoring devices. Results: Seven studies with a total of 1025 kidney transplant recipients were included. The pooled mean adherence measured using electronic monitoring devices was 94.39%. In studies with monitoring durations of three months or longer, adherence decreased to 90.50%. Substantial heterogeneity was observed across studies. Conclusion: Although electronically measured adherence appears generally high, its decline over longer monitoring periods indicates that adherence is dynamic and may decrease over time. However, these estimates should be interpreted cautiously because electronic monitoring devices cannot confirm actual medication ingestion. Furthermore, intentionally non-adherent patients may be less likely to participate in or remain engaged with electronic monitoring studies and may therefore be underrepresented, potentially leading to an overestimation of true adherence. Even modest reductions in adherence may carry important clinical consequences, underscoring the need for sustained monitoring.
- Derleme MakaleAçık Erişim2026Scopus SJRQ1Artificial-intelligence–based developmental screening for pre-school children (ages 3–6): a scoping review of deployed tools, clinical validity, equity, and implementation in guidance-center settings
Arslan, Adem; Gül, Fatih
Background – Early identification of neurodevelopmental conditions during the pre-school years (ages 3–6) is critical for timely intervention, yet traditional questionnaire-based screeners suffer from low positive predictive value, late detection, and inequitable access. Artificial intelligence (AI) and machine-learning (ML) methods promise more objective, scalable identification, and two devices (Cognoa Canvas Dx, 2021; EarliPoint Evaluation, 2023) are already US Food and Drug Administration (FDA)-authorized. Recent reviews summarize the technical literature, but few address how deployed tools perform on clinical validity, equity, and real-world implementation, particularly outside high-income, English-speaking settings. Methods – Following Joanna Briggs Institute methodology and the PRISMA extension for scoping reviews (PRISMA-ScR), we searched seven databases (1 January 2020–15 June 2026) and charted primary validation studies of AI/ML developmental-screening tools for children aged 72 months or younger. We mapped tools by modality, diagnostic performance, regulatory status, geographic origin, and, as a structured analytic axis, demographic subgroup (equity) reporting and deployment readiness. Results – Sixteen primary AI-tool studies met inclusion, spanning eight modality classes (eye-tracking, multimodal questionnaire-plus-video, computer-vision home/clinical video, tablet/smartphone digital phenotyping, voice/acoustic ML, electronic-health-record risk prediction, questionnaire-based ML, and wearable sensors) and eight countries (USA, South Korea, Australia, Switzerland, France, Israel, China, Vietnam). Reported sensitivities ranged from approximately 75 to 99.2% and specificities from 78.9 to 95.5%. Only one tool demonstrated stable performance across sex, race, and ethnicity; subgroup-stratified validation was otherwise near-absent. No CE-marked autism-specific screening device was identified. Conclusions – The evidence base has broadened in modality and geography but remains autism-concentrated and equity-blind, with a wide gap between analytic accuracy and primary-care deployment. We propose equity validation, deployment-readiness reporting, and an implementation pathway for low-resource guidance-center settings as priorities.
- MakaleYayıncıda açık erişim2026Scopus SJRQ1Maternal chrononutrition during pregnancy and the composition of intestinal and placental microbiota
Kurtbeyoglu, Emine; Caferoglu Akin, Zeynep; Ozdemir, Fatma
Background: Disrupted feeding timing may alter microbiota profiles and contribute to metabolic disturbances. This study aimed to investigate the impact of maternal chrononutrition during pregnancy on maternal gut and placental microbiota. Methods: This study was conducted between April 2022 and February 2023 at Erciyes University Faculty of Medicine Hospitals and Kayseri Private Dünyam Hospital in Kayseri, Türkiye, among healthy pregnant women with predominantly daytime feeding (pDT, n = 10) or predominantly nighttime feeding (pNT, n = 10). A questionnaire was administered, and three-day food consumption diaries were recorded at both 20–26 and 32–36 weeks of gestation. Fecal samples were collected at 32–36 weeks of gestation, and placental samples were collected at birth and stored at -80 °C until analysis. Results: Although total daily energy intake at both gestational periods (20–26 and 32–36 weeks) was similar between the groups, gestational weight gain was greater in the pNT group [16.30 (5.25) kg] than in the pDT group [11.90 (3.41) kg] (p = 0.039). Compared with the pDT group, the Firmicutes: Bacteroidetes ratio was higher in the maternal gut microbiota of the pNT group. Furthermore, Bacilli, Lactobacillales, Lactobacillaceae, and Lactobacillus were significantly more abundant in the pDT group than in the pNT group (p < 0.05). The intestinal and placental microbiota of the pDT and pNT groups had similar alpha and beta diversity. Conclusions: Our findings suggest that predominantly daytime or nighttime feeding during pregnancy may influence the composition of maternal gut and placental microbiota. These microbiome alterations may have potential implications for maternal and infant health; however, larger longitudinal studies are needed to clarify their long-term relevance, including possible links with fetal programming.
- Derleme MakaleYalnız künye2026Scopus SJRQ1A systematic and evolutionary analysis of software design pattern detection and recommendation approaches (2015–2025)
Turk, Salih; Coskuncay, Ahmet
Context: Automated detection and recommendation of software design patterns is crucial for software maintenance, reverse engineering, and architectural quality. Despite decades of research, the field has undergone a significant transformation with the emergence of deep learning and large language models (LLMs), leading to a fragmented landscape of methodologies and evaluation settings. Objective: This study aims to provide a systematic and evolutionary synthesis of design pattern detection and recommendation approaches published between 2015 and 2025, categorizing them into distinct technological paradigms and identifying open research challenges. Method: Following Kitchenham’s evidence-based software engineering guidelines and PRISMA principles, a systematic literature review was conducted. We executed a structured search on the Web of Science database, identifying 212 initial records. After rigorous multi-stage screening and quality assessment, 66 primary studies were selected for final synthesis and analysis. Results: The evolution of the field is characterized through six distinct paradigms: Rule-Based, Graph-Based, Feature-Driven Machine Learning, Representation Learning (Deep Learning), Hybrid, and Contextual Intelligence (LLM). Findings reveal a clear methodological shift from structural exactness to semantic and contextual understanding. However, the analysis also identifies a high concentration on specific datasets (JHotDraw and P-MARt) and a lack of standardized benchmarks for variant detection and multi-modal analysis. Conclusions: While LLM-based approaches show promise in handling pattern variants and semantic context, the field requires more diverse benchmarks and explainable models. This review provides a comprehensive research roadmap, emphasizing the need for multi-modal frameworks and industry-scale validation to bridge the gap between academic research and practical software engineering.
- MakaleAçık Erişim2026Scopus SJRQ1Physicochemical properties of fifteen flower honey samples from five districts in Türkiye
Ucuncu, Osman; Kul, Merve Kalafat; Baltaci, Cemalettin; Aykoc, Ayse Muslu
This study analyzed the physicochemical characteristics, mineral composition, and antioxidant potential of fifteen floral honey samples collected from five districts of Gümüşhane, Türkiye. The average values for moisture (17.44 g/100 g), insoluble solids (0.04 g/100 g), conductivity (0.35 mS/cm), diastase activity (54.15 DN), free acidity (38.18 meq/kg), and fructose + glucose content (68.95 g/100 g) were mostly within the acceptable limits defined by national honey standards. Proline content ranged from 562.66 to 1466.15 mg/kg, while hydroxymethylfurfural (0.37–18.89 mg/kg) confirmed the freshness of all samples. Potassium, calcium, sodium, and magnesium were identified as the major mineral elements in the analyzed honey samples, with considerable variation observed among samples collected from different districts. Antioxidant activity (Total phenolic content (mg GAE/100 g): 9.21–98.25; SC₅₀ (mg/mL): 5.23–41.29) revealed a strong antioxidant potential of Gümüşhane honeys. This work provides the first detailed characterization of Gümüşhane honeys, confirming their high physicochemical quality, rich mineral profile, and notable antioxidant potential, and underscores their value as a distinctive regional product with functional and commercial significance.
AtıfScopus4WoS5İncele - MakaleAçık Erişim2026Scopus SJRQ1Effects of inspiratory muscle training combined with circadian rhythm-based running programs in male children football players
Konca, Erkan; Yilmaz, Coşkun; Saç, Ajlan; Dal, Suzan; Halmatov, Medera; Akıllıoğlu, Osman; Bayrakdaroğlu, Serdar
Background: Inspiratory muscle training (IMT) has been suggested to improve respiratory function and physical performance; however, evidence in preadolescent athletes remains limited. This study examined whether adding IMT to circadian rhythm–based running programs would enhance functional and pulmonary outcomes in preadolescent male football players with at least two years of regular football training experience. Methods: Seventy-five boys aged 10–12 years were categorized into morning-, intermediate-, or evening-type groups based on Morningness–Eveningness Scale for Children (MESC) scores, and each chronotype group was assigned to its corresponding running protocol with or without IMT. Over six weeks, participants completed circadian rhythm–based running sessions, and IMT groups performed graded-load IMT. Pre- and post-intervention assessments included agility, six-minute walk test (6MWT), pulmonary function (FVC, FEV₁, FEV₁/FVC), and respiratory muscle strength (MIP, MEP). Results: Agility and 6MWT performance improved most in the morning running + IMT group compared with evening running + IMT and running-only groups (p < 0.001). FVC and FEV₁ increased in both IMT groups, though gains were modest and smaller in the running-only group. Improvements in MIP and MEP did not differ significantly between groups. Conclusion: Combining IMT with morning running produced the greatest improvements in agility and functional performance, while pulmonary gains were moderate and respiratory muscle strength changes were comparable across groups. IMT may provide additional benefit when integrated into chronotype-aligned morning training in preadolescent football players. Trial registration: Effects of Inspiratory Muscle Training Combined with Circadian Rhythm-based Running Programs in Children Football Players, ClinicalTrials.gov: NCT06817486, Date: 27-01-2025.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ2Tectonic evolution of the Central Anatolian Crystalline Complex: Insights from using magnetic and gravity data
Aktaş, Gülten
This study investigates the inherited crustal architecture and concealed tectonic boundaries of the Kırşehir Massif, a key component of the Central Anatolian Crystalline Complex (CACC), using satellite-derived potential field datasets. Earth Magnetic Anomaly Grid 2 (EMAG2) magnetic anomalies and World Gravity Map 2012 (WGM2012) Bouguer gravity data were analyzed together with multiple edge-detection filters, including Total Horizontal Gradient (THG), Tilt Angle (TA), Theta Map (TM), and Tilt Angle of Horizontal Derivative Amplitude (TAHG), to enhance structural boundaries and identify subsurface discontinuities prior to geological interpretation. The enhanced magnetic and gravity fields reveal two principal lineament sets trending NW-SE and NE-SW, which coincide with major lithological contacts, fault zones, and the boundaries of the İzmir-Ankara-Erzincan Suture Zone (IAESZ) and Inner Tauride Suture Zone (ITSZ). Quantitative lineament classification based on azimuth and length statistics further confirms three dominant structural orientations (NW-SE, NE-SW, and E-W), reflecting both inherited suture-related structures and younger transtensional deformation. By integrating filtered anomaly gradients with regional geological constraints, this study provides the most detailed potential-field-based structural model of the Kırşehir Block to date and offers new insights into crustal inheritance, lithospheric segmentation, and the multi-phase tectonic evolution of Central Anatolia.
- Derleme MakaleAçık Erişim2026Scopus SJRQ2Physiological responses and adaptive mechanisms of amphibians and reptiles to multiple interacting environmental stressors: an integrative review
Kurnaz, Muammer
This integrative review synthesizes current knowledge on the physiological responses and adaptive mechanisms of amphibians and reptiles to multiple interacting environmental stressors, with particular emphasis on synergistic effects among temperature, hydric stress, disease, and pollution. Given the stronger empirical basis for amphibians in the existing literature, amphibian responses are covered in greater depth, while reptile-specific physiology, immunology, and emerging infectious diseases are explicitly addressed in dedicated sections throughout the review. Critical thermal tolerance analyses reveal that approximately 7.5% of amphibian species will exceed their physiological limits under a 4 °C warming scenario, with tropical lowland species already operating near their CTmax thresholds. Thermal plasticity is limited, with acclimation responses averaging only 0.13 °C increase in CTmax per 1 °C environmental warming—insufficient to track rapid climate change. Water balance regulation shows dramatic interspecific variation, with cutaneous resistance ranging from 0.05 s/cm in aquatic amphibians to >1000 s/cm in desert-adapted reptiles. Synergistic interactions between thermal and hydric stress significantly amplify vulnerability, particularly in dehydration scenarios that reduce critical thermal limits. Chemical pollutants, including heavy metals and pesticides, cause developmental abnormalities (535% increase in malformation frequency), immunosuppression, and endocrine disruption across multiple life stages. Emerging infectious diseases, particularly chytridiomycosis (Batrachochytrium dendrobatidis and B. salamandrivorans) and ranaviruses, drive mass mortality events globally, with co-infections exacerbating population declines. Climate change intensifies disease susceptibility through stress-mediated immunosuppression and altered pathogen dynamics. Adaptive capacity varies markedly among species. While amphibians exhibit strong phenological responses (2-4× greater than other taxa), genetic adaptation potential remains limited by narrow dispersal abilities and habitat fragmentation. Microhabitat buffering can reduce thermal extremes by several degrees but depends critically on habitat structural integrity. This review demonstrates that the pace of anthropogenic change challenges the adaptive capacity of most species, necessitating integrated conservation strategies including microhabitat preservation, climate corridor establishment, pollution mitigation, disease surveillance, and ex-situ conservation programs.
AtıfWoS2OpenAlex6İncele - MakaleAçık Erişim2026Scopus SJRQ2Waste to resource approach: CoFe2O4-modified spent tea waste for magnetic solid-phase extraction of toxic metal ions from water samples
Seker, Serdal; Ozdes, Duygu; Duran, Celal
In this research, within the framework of a waste-to-resource conversion approach, biochar obtained from spent tea waste (STWB), a widely available and cost-free biomass source, was modified with magnetic CoFe2O4 nanoparticles to develop an environmentally friendly adsorbent (CoFe2O4/STWB). The applicability of this material for efficient separation and preconcentration of Cd(ii), Pb(ii), and Ni(ii) ions from mining wastewater, stream water, and wastewater samples collected from an organized industrial zone was systematically investigated using the solid phase extraction (SPE) method. Optimization of the experimental variables was conducted to enhance the extraction performance of the target analyte ions. The fact that the adsorption and desorption equilibrium times occur in less than 1 min demonstrates the rapid and highly efficient extraction performance of the developed adsorbent. Langmuir isotherm model analysis revealed that CoFe2O4/STWB exhibits adsorption capacities of 69.4 mg g−1 for Cd(ii), 185.2 mg g−1 for Pb(ii), and 45.2 mg g−1 for Ni(ii). In contrast, the corresponding adsorption capacities obtained for unmodified STWB were considerably lower, with values of 42.9, 75.8, and 16.8 mg g−1 for Cd(ii), Pb(ii), and Ni(ii), respectively. These results clearly demonstrate that modification with CoFe2O4 significantly enhances the adsorption performance of STWB. Consequently, CoFe2O4-modified spent tea waste can be regarded as an effective, economical, and sustainable adsorbent for trace heavy metal analysis in environmental water samples, owing to its rapid extraction kinetics, high adsorption capacity, and low detection limits. This journal is
AtıfScopus1WoS1İncele - MakaleYalnız künye2026Scopus SJRQ2Analysis of the Changes in River Water Quality and Quantity with Innovative Trend Methods
Şan, Murat; Nacar, Sinan; Bayram, Adem; Kankal, Murat
This study aims to investigate trends and changes in water quality (WQ) and quantity parameters under low-medium-high groups and seasonal trends employing innovative methods. The data were collected from three monitoring stations in the Broad River Basin (USA). The data spanning the years 1987–2020, on water temperature (WT), dissolved oxygen (DO), discharge (Q), and electrical conductivity (EC) parameters, were used for analysis. A combination of innovative trend analysis with binary segmentation (ITABS) was proposed for objective group separation for the purpose of group trend analysis, allowing for the capture of changes in both location and shape parameters. Recently proposed innovative polygon trend Wilcoxon significance test (IPTWST) and innovative polygon trend analysis (IPTA) were also used to examine seasonal trends for the first time, providing a graphical and qualitative analysis of seasonal behavior. The seasonal Mann-Kendall test was also used to compare them. The ITABS method grouped WQ parameters into more than one group, except for the DO parameter. Especially from EC and Q parameters, it is concluded that the trends in groups do not always contribute to the overall trend or at the same rate. Group trends, therefore, should not be ignored for water resources management. According to IPTA and IPTWST, although there is no clear trend in certain seasons, it is evident that seasonal trends exist, and the Q and EC parameters have a more complex structure. The IPTWST method has the advantage of being able to graphically show the inter-seasonal behavior, although it is identical to the seasonal Mann-Kendall method.
AtıfScopus1WoS1OpenAlex1İncele - MakaleYalnız künye2026Scopus SJRQ3Oncophorus integerrimus (Bryophyta) and Nardia pacifica (Marchantiophyta) new to Türkiye
Batan, Nevzat; Köroğlu, Zeynep Gizem; Erata, Hüseyin; Mamontov, Yuriy S.
Oncophorus integerrimus Hedenäs and Nardia pacifica Bakalin are new reported from Türkiye and Southwest Asia, following a recent bryological excursion to the Demirkapı plateau of Trabzon in Türkiye. The species’ brief descriptions and illustrations are presented together with their locality information in Türkiye, ecological and geographical distribution notes, and comparisons with morphologically similar taxa.
AtıfOpenAlex2İncele - MakaleAçık Erişim2026Scopus SJRQ4GEOLOGY AND MINERAL CHEMISTRY OF THE ARSLANDEDE PLUTON IN THE EASTERN PONTIDES
Güloğlu, Zikrullah Samet; Kaygusuz, Abdullah
The Middle Eocene Arslandede Pluton, exposed in the Bayburt region on the southern margin of the Eastern Pontides (NE Turkey), has been investigated in terms of its geology and mineral chemistry. The pluton exhibits a NW-SE elongation and covers an area of approximately 7 km². It comprises a broad compositional spectrum ranging from monzodiorite to quartz monzonite. Major rock-forming minerals include plagioclase (An25-48), orthoclase (Or69-88), quartz, amphibole (Mg# = 0.63-0.73), biotite (Mg# = 0.52-0.62), pyroxene (Mg# = 0.70-0.75), and Fe-Ti oxides. Crystallization conditions, estimated via amphibole-plagioclase thermometry and Al-in-hornblende barometry, suggest crystallization temperatures of 737-812 °C and pressures of 0.09-1.61 kbar, corresponding to depths of 0.3-6.0 km. These results indicate that the pluton was emplaced at shallow crustal levels and subsequently solidified under low-pressure conditions. Comparison with other Middle Eocene plutons in the region reveals similar crystallization conditions, suggesting a common tectonic setting during the post-collisional extensional regime in the Eastern Pontides.
- MakaleAçık Erişim2026Scopus SJRQ2Refinement of field-measured velocity profiles via CFD comparison: A case study on single-phase flow in aeration tanks
Yilmaz Çelik, Damla; Vaheddoost, Babak; Aras, Egemen; Şibil, Rahim
The accuracy of field measurements obtained from aeration tanks is of critically important for the validation of Computational Fluid Dynamics (CFD) models. In many cases, the employed validation metrics serve as a fundamental keystone for evaluating both the credibility of experimental data and the accuracy of numerical simulations. In this study, a novel data refinement approach is developed to assess the physical plausibility of velocity measurements collected from a full-scale aeration tank. Unlike conventional validation approaches, the CFD model is utilized as a reference framework within a reverse-approach perspective to evaluate the reliability of field data. Measurement points affected by acoustic noise, surface sludge interference, and turbulence near static structures were identified and excluded through curve-fitting and statistical filtering techniques. Velocity data obtained with the help of an Acoustic Doppler Current Profiler (ADCP) across six lateral and 53 vertical layers were evaluated using the Coefficient of Determination (R2), Relative Error (RE), and Performance Index (PI) metrics. The maximum-elimination combined with polynomial fitting notably enhanced the model accuracy, reducing RE from −123 % to 20 %, increasing R2from 0.054 to 0.96, and improving PI from 2.6 to 1.16. As a result, the refined dataset provided a more consistent and realistic representation of the flow structure and established a robust observational basis for the future calibration.
AtıfScopus5WoS5OpenAlex4İncele - MakaleAçık Erişim2026Scopus SJRQ2A Personalized Target Placement Optimization Framework for VR-Based Upper Extremity Rehabilitation
Türe, Hayati; Kalfa, Eren; Aslan, Muhammed Emin; Işık, Buket Özdemir; Topçu, Osman; Özdemir, Erhan; Sarıhan, Köksal
Featured Application: The proposed framework can be directly integrated into existing VR rehabilitation platforms to provide real-time personalized target placement for post-stroke upper extremity therapy, requiring no additional hardware beyond a standard CPU. Virtual reality (VR)-based rehabilitation is an established modality for upper extremity motor recovery; however, existing systems frequently rely on fixed, random, or therapist-tuned target placement that disregards patient-specific motor capacity and population-level priors. This study proposes a cross-patient collaborative swarm intelligence framework that derives zone-based patient profiles from real VR trajectories and augments them with a similarity-weighted cohort prior distilled from clinically similar patients’ successful trajectory clouds and zone-transition graphs. A hybrid Ant Colony Optimization (ACO)–Particle Swarm Optimization (PSO) algorithm optimizes 12 targets per session across a 27-zone ( (Formula presented.) ) workspace using a five-component fitness function encompassing reachability, zone balance, movement efficiency, heatmap-guided challenge coverage, and swarm-flow consistency. The framework was evaluated retrospectively on a single-center cohort of 36 post-stroke patients and 6373 sessions under a leakage-safe simulation protocol with 70/30 chronological splits; outcomes are model-based proxy success rates derived from each patient’s profile rather than directly observed task success. The hybrid strategy achieved a mean simulated success rate of 85.5% ± 5.5%, a 36.4% relative improvement over random placement (Wilcoxon (Formula presented.), Cohen’s (Formula presented.) ); the leakage-safe split yielded 80.1% on the held-out segment versus 61.1% for random, with no statistically significant train–test gap ( (Formula presented.) ). Ablation confirmed both PSO and ACO are individually necessary ( (Formula presented.) pp, (Formula presented.) ). Total session-start computation is 78 ms on standard CPU hardware. These findings constitute a proof-of-concept that collaborative personalized swarm optimization can substantially outperform heuristic target placement under in silico evaluation; clinical efficacy in terms of standardized motor outcome measures remains to be established in a prospective randomized controlled trial, and the findings should be replicated across centers, task modes, and a larger cohort before generalization.
- MakaleAçık Erişim2026Scopus SJRQ1Assessment of Atmospheric Acidifying Pollutant Trends and Their Potential Impact on Aquatic Carbon Stability in a Semi-Arid Basin: The Case of Konya
Tona, Aziz Uğur; Demir, Vahdettin
The behavior of the carbon cycle within the Land-Ocean Aquatic Continuum (LOAC) is shaped not only by aquatic processes but also by chemical interactions occurring at the atmosphere–water interface. In particular, the transport of acid rain precursors such as SO2 and NOx to surface waters via deposition can alter the water’s pH balance, thereby affecting Dissolved Inorganic Carbon (DIC) fractions and CO2 emission potential. In this study, air quality measurements from three monitoring stations (Bosna, Karatay, and Meram) in Konya province of Türkiye, along with precipitation and temperature data from a representative meteorological station for the period 2021–2023, were analyzed using the Mann–Kendall Trend Test. Additionally, seasonal pH values of groundwater were examined, and their trends were compared with those of the other variables. The findings reveal striking differences on a station basis. At the Bosna station, while NO (Z = 10.80), NO2 (Z = 9.47), and NOx (Z = 10.04) showed strong increasing trends, O3 decreased significantly (Z = −15.14). At the Karatay station, significant increasing trends were detected for CO (Z = 10.01), PM10 (Z = 8.59), SO2 (Z = 5.55), and NOx (Z = 2.44), whereas O3 exhibited a negative trend (Z = −6.54). At the Meram station, a significant decrease was observed in CO (Z = −11.63), while NO2 showed an increasing trend (Z = 3.03). Analysis of meteorological series indicated no significant trend in precipitation (Z = −0.04), but a distinct increase in temperature (Z = 2.90, p < 0.01). These findings suggest that the increasing NOx load in the Konya atmosphere accelerates O3 consumption and, combined with rising temperatures, creates a potential for change in the carbon chemistry of aquatic systems. The results demonstrate that atmospheric pollutant trends constitute an indirect but significant pressure factor on the aquatic carbon cycle in semi-arid regions and highlight the necessity of integrating atmospheric processes into carbon budget analyses within the scope of LOAC.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ1Potentially Toxic Metal Levels in Cheeses Produced in Türkiye: Regional Variation, Milk Source, Ripening Stage, Production Type, and Associated Dietary Exposure and Health Risk
Gürmeriç, Hüseyin Ender; Şengül, Mustafa; Basaran, Burhan
This study investigated potentially toxic metal (PTM) levels in cheeses produced in different regions of Türkiye and evaluated the associated dietary exposure and non-carcinogenic health risk. A total of 84 cheese samples were collected from seven geographical regions and classified according to milk source, ripening stage, and production type. After microwave-assisted acid digestion, PTM levels were quantified by inductively coupled plasma mass spectrometry (ICP-MS), and exposure and non-carcinogenic risk were evaluated using Estimated Daily Intake (EDI), Target Hazard Quotient (THQ), and Hazard Index (HI). Aluminium (Al), iron (Fe), and zinc (Zn) ranged from <0.00215 to 7.29,<0.00769 to 38.8, and 0.68 to 56.6 mg/kg wet weight, respectively, whereas chromium (Cr), nickel (Ni), copper (Cu), selenium (Se), cadmium (Cd), and lead (Pb) ranged from <0.58 to 244, <1.26 to 369, <1.88 to 4067, <0.91 to 1378, <0.06 to 12.3, and <2.19 to 1754 µg/kg wet weight, respectively. Values marked with “<” represent concentrations below the limit of quantification (LOQ). Arsenic (As) was not detected in any sample. Significant differences were observed for selected PTMs according to ripening stage, milk source, production type, and region (p<0.05). The toxicological contribution (TC) values for nutritional PTM exposure were low. THQ and HI values remained below 1, suggesting a low overall non-carcinogenic risk; however, Pb exceedances in some samples indicate the need for continued PTM monitoring.