Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(11)
- Gül, Abdulkadir(10)
- Baltacı, Cemalettin(9)
- Kaya, Selim(9)
- Kurnaz, Muammer(9)
- Ozturk, Samet(9)
- Çelik, Necati(9)
- Tuncer, Metin(8)
- Altuner, Elif Esra(7)
- Aydin, Aydanur(7)
- Barut, Abdulkadir(7)
- Cin, Aynur(7)
- Günen, Mehmet Akif(7)
- Ozdes, Duygu(7)
- Zaman, Tolga(7)
- Araz, Onur(6)
- Baltaci, Cemalettin(6)
- Bayrakdaroglu, Serdar(6)
- Bozbeyoglu, Pinar(6)
- Demirağ, Hatice(6)
- Karpuz, Ömer(6)
- Liu, Shuxiang(6)
- Merdan, Mehmet(6)
- Yilmaz, Coskun(6)
- Duran, Celal(5)
- Gulcin, Ilhami(5)
- Koçak, Tevfik(5)
- Pala, Fahrettin(5)
- Pilatin, Abdulmuttalip(5)
- Söyler, Mehmet(5)
- Topal, Fevzi(5)
- Tuncer, Gülsüm Zekiye(5)
- Türkkan, Tuğba(5)
- Uysal, Turan(5)
- Yapici, Ismail(5)
- Zengin, Gokhan(5)
- Çam, Alper Veli(5)
- Öztürk, Serkan(5)
- Şan, Murat(5)
- Şimşek, Ahmet Bahadır(5)
Yayınlar
- MakaleAçık Erişim2026Immediate effects of cervical spine and sacroiliac joint manipulations on the autonomic nervous system and pedobarographic analysis: Randomized controlled trial
Turgut, Hayriye; Büyükkırlı, İlker Can; Hatık, Sefa Haktan; Aydın, Emine Büşra
Background: This study aimed to investigate the immediate effects of cervical and sacroiliac joint manipulations on autonomic nervous system activity and baropodometric parameters. Methods: Participants were randomly assigned to three groups with equal gender distribution. The cervical manipulation group received chiropractic manipulation at the C3–C5 level, while the sacroiliac group received manipulation at the sacroiliac joint. The control group received no intervention. Pre- and post-treatment evaluations were conducted after a 30-minute interval. Plantar pressure was measured via a pedobarographic device. Autonomic nervous system activity was assessed using the Polar H10. Blood pressure and heart rate were manually recorded using a sphygmomanometer and pulse oximeter. Statistical significance was set at p < 0.05. Results: No significant differences were found among groups in terms of age, gender, height, or BMI (Kruskal-Wallis, p > 0.05). The cervical manipulation group showed significant decreases in systolic and diastolic blood pressure and heart rate post-intervention (Wilcoxon, p < 0.05). The sacroiliac group showed a significant increase in heart rate only (Wilcoxon, p < 0.05). No significant changes were observed in baropodometric parameters or autonomic activity within or between groups (Wilcoxon and Kruskal-Wallis, p > 0.05). However, post-intervention comparisons showed cervical manipulation led to a greater reduction in systolic blood pressure, while sacroiliac manipulation led to a greater increase in heart rate compared to controls (Mann-Whitney U with Bonferroni correction, p < 0.05). Conclusion: While no significant changes were observed in baropodometric or autonomic parameters, chiropractic manipulation demonstrated short-term effects on blood pressure and heart rate. The accuracy of heart rate variability assessments should be reviewed, and further studies are needed to evaluate long-term cardiovascular and autonomic outcomes.
- MakaleAçık Erişim2026Microwave-assisted natural deep eutectic solvent-based system for sustainable eritadenine extraction from shiitake mushroom (Lentinula edodes)
Kaya, Murat; Berktas, Serap; Alasalvar, Hamza; Cam, Mustafa
Shiitake (Lentinula edodes) mushrooms contain a significant level of eritadenine, a cholesterol-lowering compound. However, volatile organic solvents such as methanol are commonly used in the extraction of eritadenine. To overcome this disadvantage, in the present study, microwave-assisted natural deep eutectic solvents (NADESs) extraction was tested for the extraction of eritadenine. The efficiency of NADESs was compared with benchmark solvents (water, aqueous ethanol, aqueous methanol). NADES, composed of betaine and sorbitol, demonstrated superior efficiency in the extraction of eritadenine. Based on the results obtained from preliminary experiments, microwave-assisted extraction was optimized using a statistical optimization method. A microwave power of 300 W and an extraction time of 15 s were established as optimal conditions with an eritadenine content of 10.63 mg/g dry weight (DW). Further comparisons using NADES revealed the superiority of microwaves over homogenization and stirring methods. The highest level of eritadenine was measured with the microwave-assisted method (10.56 mg/g DW), followed by homogenization (7.22 mg/g DW) and stirring (1.03 mg/g DW). A similar trend was detected in the total phenolic content of the extracts (microwave: 8.27 mg GAE/g DW, homogenization: 2.32 mg GAE/g DW, and stirring: 0.46 mg GAE/g DW). The DPPH and ABTS antioxidant capacities of the extracts ranged from 1.18 to 29.40 mg TE/g DW and 2.42-34.69 mg TE/g DW, respectively. According to the sample preparation metric of sustainability tool, the microwave-assisted approach for the extraction of eritadenine was more sustainable due to the short extraction time. Overall, NADES combined with microwave technology represents an efficient approach for recovering eritadenine, enhancing extraction efficiency and sustainability from shiitake mushrooms.
- MakaleAçık Erişim2026Social Gender in a Language Without Grammatical Gender: Relational and Status Encoding in Kazakh Female Nominations
Gulzhan, Shokym; Bagila, Muratbek; Kürüm, Mesut; Zhanna, Tektigul; Nurbol, Saduakas; Nurdaulet, Aldashev; Zhanar, Amirgali
This article examines how Social Gender is organized in Kazakh in the absence of grammatical gender. The study is based on a lexicographically verified corpus of Kazakh female nominations, supplemented by a limited contrastive set of gender-neutral and male-linked kinship terms. The material includes basic female reference terms, kinship and affinal nominations, status-hierarchical designations, evaluative and address forms, socially conferred female roles, widowhood and step-relation terms, as well as analytic constructions marking age and social personhood. Methodologically, the analysis combines lexical-semantic, linguistic-anthropological, sociolinguistic, and pragmatic approaches within a framework that distinguishes Linguistic Gender, Natural Gender, and Social Gender. The results show that Kazakh female nominations form a structured lexico-pragmatic subsystem in which female reference intersects with relationality, hierarchy, evaluation, politeness, speaker dependence, and personhood-related distinctions. The analysis further demonstrates that this subsystem is not uniformly gender-differentiated: alongside female-specific nominations, Kazakh also employs selectively gender-neutral kinship terms and classificatory extensions, revealing where gender salience is strengthened, backgrounded, or redistributed. Social Gender in Kazakh is thus encoded not through grammatical agreement, but through a distributed system of relational, status-based, evaluative, politeness-based, speaker-dependent, and age/personhood-related nominations.
- MakaleYalnız künye2026Freeze–ohmic thawing: A novel pretreatment strategy for cold-pressed black cumin oil production
Tunç, Merve Tuğçe
Cold pressing is one of the most preferred techniques for producing high-quality vegetable oils; however, its relatively low extraction efficiency remains a major limitation. Although ohmic thawing has been investigated as a rapid thawing technique for frozen foods, its application as a pretreatment prior to cold-press oil extraction has not yet been reported. Therefore, this study investigated, for the first time, the potential of freeze–thawing (FT) and freeze-ohmic thawing (FOT) as pretreatment strategies to enhance the recovery and preserve the quality of cold-pressed black cumin oil. FT and FOT pretreatments were applied for one, two, and three cycles before cold pressing, and the extracted oils were comparatively evaluated in terms of oil recovery, physicochemical properties, antioxidant characteristics, FTIR, aroma profile, and fatty acid composition. Both FT and FOT significantly improved oil recovery compared with the untreated control. While FT2 increased the extraction yield to 51.68 ± 2.21%, FOT2 achieved the highest extraction yield (63.11 ± 1.50%), corresponding to a 41% increase over the control. FTIR analysis confirmed the preservation of the characteristic functional groups of black cumin oil following both pretreatments. Thymoquinone was largely preserved, with only a slight reduction in FT2. Likewise, the fatty acid profile remained stable, with no significant differences (p > 0.05) among treatments. These findings demonstrate, for the first time, that freeze-ohmic thawing can be successfully employed as a pretreatment prior to cold pressing, substantially improving black cumin oil recovery while preserving its physicochemical, structural, and compositional quality.
- Derleme MakaleYalnız künye2026Sustainable Mining: Environmental Challenges, Mine Tailings Management and Technological Innovations
Orak, Mürsel
Mining provides essential raw materials for global economic development; however, it is also associated with significant environmental impacts including land degradation, water contamination, and the generation of large volumes of mine tailings. Sustainable mining has emerged as a strategic framework aimed at balancing economic benefits with environmental protection and social responsibility. This study presents a comprehensive review of sustainable mining practices with particular emphasis on environmental impacts, mine tailings management strategies, acid mine drainage mitigation, and innovative technologies such as cemented paste backfill (CPB). In addition, the role of circular economy approaches, digital mining technologies, and mine closure strategies in improving sustainability performance is discussed. The findings indicate that integrating advanced tailings management strategies and technological innovations can significantly reduce environmental risks and enhance the long-term sustainability of mining operations.
- MakaleYalnız künye2026Some are more equal than others: workplace favoritism and hospital employees’ intent to quit
Özbek, Mehmet Ferhat; Banai, Moshe; Stefanidis, Abraham; Bekar, Fevziye; Roberts, Sara J.
Purpose – This study refines equity theory by explaining the mediating roles of job frustration and job dissatisfaction, as well as the moderating role of personal income in the relationship between discriminatory workplace favoritism and hospital employees’ intent to quit. Design/methodology/approach – The study consists of two samples. In the first sample, survey questionnaires were administered to 267 public hospital employees in Turkey. In the second sample, 1, 426 university healthcare students in Turkey answered four different scenarios that narrated school favoritism as well as students’ frustration, dissatisfaction and intent to quit. Structural equation modeling and ANOVA statistical analyses were conducted. Findings – Workplace favoritism positively affected employees’ intent to quit through the mediation of job frustration and job dissatisfaction. The mediating role of job frustration between workplace favoritism and intent to quit was stronger for high-income than for low-income employees and students. Practical implications – Favoring one employee may result in voluntary organizational exit by other employees, which is costly for the organization. Favoritism may encourage employees who were not previously prone to favoritism to seek favoritism. This may create a cycle that spreads favoritism further within the organization. Originality/value – This is the first study to investigate the role of income in the relationship between workplace favoritism and employees' intent to quit.
- MakaleAçık Erişim2026Approximate Analytical Solutions of the Time-Fractional Swift–Hohenberg Equation via Yang Transform Adomian Decomposition Method
Ali, Mustafa Ahmed; Merdan, Mehmet
This study examines approximate analytical solutions of the time-fractional Swift–Hohenberg equation involving the Caputo–Fabrizio fractional derivative. The main objective of this study is to investigate efficient analytical approximation techniques using the Yang transform Adomian decomposition method (YTADM). The proposed approach combines the Yang transform with the Adomian decomposition technique to construct a rapidly convergent series solution for the fractional partial differential equation. The effects of the fractional order and system parameters on the behavior of the solution have been examined via tables and are graphically represented. The results confirm that the proposed method provides accurate and computationally efficient approximate solutions to the fractional Swift–Hohenberg equation. These results show that YTADM is an appropriate and useful analytical tool to solve nonlinear fractional partial differential equations arising in mathematical physics, especially those equations involving nonsingular fractional operators. The principal contribution of this work effort is the development and application of the YTADM framework for solving the fractional Swift–Hohenberg equation; therefore, it serves as a reliable analytic tool for nonlinear fractional partial differential equations arising in mathematical physics.
- MakaleAçık Erişim2026Prioritization of Internal and External Corporate Sustainability Dimensions: Evidence from Sustainability Auditors Using AHP
Wang, Yufu; Yeşilçelebi, Gül; Tosunoğlu Kusan, Büşra; Çam, Alper Veli; Dumitru, Mihaela
Corporate sustainability has traditionally been evaluated through environmental, social, and economic dimensions. However, increasing sustainability challenges, stakeholder expectations, and regulatory requirements indicate that sustainability extends beyond conventional performance measures and requires an integrated perspective that considers both internal organizational capabilities and external institutional conditions. This study develops an integrated internal–external sustainability framework and prioritizes sustainability dimensions from the perspective of licensed sustainability auditors in Türkiye. The proposed framework comprises governance, ethical, behavioral, cultural, environmental, social, economic, legal, and technological dimensions. The Analytic Hierarchy Process (AHP) was applied to pairwise comparison data collected from 15 licensed sustainability auditors to determine the relative importance of these dimensions. The results indicate that external sustainability dimensions received substantially higher priority (70.97%) than internal dimensions (29.03%), demonstrating that sustainability assessments are primarily shaped by environmental challenges, regulatory requirements, stakeholder expectations, technological developments, and market conditions. Among the nine corporate sustainability dimensions, environmental sustainability received the highest overall priority, followed by technological, ethical, social, economic, legal, governance, cultural, and behavioral dimensions. These findings suggest that although internal organizational capabilities remain important, corporate sustainability is predominantly influenced by external institutional and environmental factors. By proposing an integrated internal–external sustainability framework, this study extends conventional sustainability assessment approaches and contributes to the sustainability governance and assurance literature. The findings also provide practical implications for sustainability reporting, assurance, governance, and strategic decision-making by identifying the sustainability dimensions that deserve the greatest managerial and regulatory attention.
- MakaleYalnız künye2026Thermal inactivation kinetics of Listeria monocytogenes in fat/water emulsions and fat tissue – effect of fat content
Ozturk, Samet; Huang, Lihan; Hwang, Cheng-An; Sheen, Shiowshuh
Significantly increased thermal resistance was found in Listeria monocytogenes inoculated to beef tallow. However, how the relative compositions of fat and water in emulsions affect bacterial survival during heating has not been evaluated. This study aimed to evaluate the effect of fat levels in solid fat/water (SF/W) emulsions on thermal resistance of L. monocytogenes. SF/W emulsions, containing 0, 25, 50, 60, and 75 % of tallow by weight, were prepared by mixing tallow with soybean lecithin and Tween 80 in 0.1 % peptone water using an ultrasonic processor. A 4-strain cocktail of L. monocytogenes was inoculated to the emulsions and subjected to isothermal heating between 55 and 65 °C. The survival curves were analyzed to estimate the kinetic parameters and evaluate thermal resistance. Linear survival was observed in emulsions with fat below 50 %. However, increased thermal resistance, evidenced by the increasing D and z values with the fat content, was observed. For example, the average D values in SF/W emulsions at 60 °C are 0.54, 1.04, and 2.53 min, respectively, with 0, 25, and 50 % fat. For SF/W emulsions with 60 and 75 % fat and in beef trim fat (BTF, 86.9 % fat), the survival curves became convexly nonlinear and could be described with the Weibull model. The exponents of the Weibull model range between 0.45 and 0.456, suggesting almost identical convexity of the survival curves. The convex survival curves indicate initial sensitivity to heat but the resistance increases with time at each temperature. The estimated time to a 5-log reduction becomes 11.9 and 26.4 min in 60 and 75 % SF/W emulsions, respectively, and 36.5 min in BTF at 60 °C. The study demonstrates the effect of fat levels on thermal resistance of L. monocytogenes in SF/W emulsions and BTF. The results of this study may help the food industry to properly kill L. monocytogenes in fat-containing meat products during thermal processing.
- MakaleYalnız künye2026A Comprehensive Deep-Learning Framework Integrating Lesion Segmentation and Stage Classification for Enhanced Diabetic Retinopathy Diagnosis
İncir, Ramazan; Bozkurt, Ferhat
Diabetic retinopathy (DR), one of the most prevalent microvascular complications of diabetes, stands as a leading cause of vision loss globally. Due to its asymptomatic nature in early stages, delayed diagnosis and staging may result in irreversible visual impairment. Therefore, accurate and simultaneous lesion segmentation and stage classification of DR are of critical clinical importance. In this study, a two-stage, end-to-end, holistic framework is proposed for automated DR diagnosis. In the first stage, an Improved U-Net architecture enhanced with residual blocks and additional convolutional layers is employed to segment small and low-contrast lesions such as microaneurysms, hemorrhages, and hard/soft exudates with high precision. Model hyperparameters are optimized using the harmony search algorithm to enhance training efficiency. In the second stage, lesion-based weight maps obtained from the segmentation step are applied to fundus images from the APTOS dataset, generating enriched inputs for classification. A vision transformer (ViT)-based model, augmented with a Convolutional Block Attention Module (CBAM), is utilized to improve feature extraction. In addition, features derived from ViT are further refined using a graph convolutional network (GCN) and traditional machine-learning classifiers. The proposed approach achieves high performance in multi-class DR stage classification. Compared to existing studies, the framework demonstrates notable improvements in both segmentation and classification accuracy, offering a robust and generalizable solution for DR diagnosis.
- Derleme MakaleYalnız künye2026A review study of recent advancements in polymer heat exchanger technology in the aspect of heat transfer
Celen, Ali; Budak, Selahattin; Celen, Pınar; Dalkılıç, Ahmet Selim
Many applications use metallic heat exchangers, but some operating conditions, such as desalination, exhibit wear and corrosion problems. Thus, it is important to develop and use alternative materials to metals for such conditions. Although polymers have low thermal conductivity, corrosion resistance, cost-effectiveness, and lightweight, polymer heat exchangers can be constructed to overcome this problem. They were introduced in the last decades; advancements in 3D printing technology help manufacture complex, novel, and thin heat transfer surfaces. Although review studies are limited, recent research has not explored heat transfer-based reviews of heat exchangers produced by additive manufacturing and polymer hollow fibre methods. In this study, polymer heat exchanger works were reviewed and classified according to tube diameter as polymer and polymeric hollow fibre heat exchangers as the most updated ones. Generally, the studies focused on the thermal performance of heat exchangers constructed with metal and polymer materials, and the results were compared to determine the usability of polymer-based ones. As a result, polymeric hollow fibre heat exchangers may compete with metallic ones due to low wall resistance and enhanced heat transfer surface area because of the development of manufacturing technology. Also, the cost and weight of polymeric hollow fibre exchangers are lower, and they can be operated under corrosive conditions. Finally, it is obvious that increased research is needed to enhance the properties of polymer materials to increase the performance of this type of heat exchanger.
- MakaleAçık Erişim2026Predicting suicide probability in young adults: contributions of vulnerable narcissism, grudge, and demographic variables
Çelebi, Gülin Yazıcı
Suicide is a significant public health problem worldwide. The aim of this study is to examine the potential effects of levels of vulnerable narcissism and grudge on the likelihood of suicide. In addition to these variables, the potential effects of some demographic variables (gender, marital status, age, socioeconomic status, education level, perceived religiosity, number of siblings) were also investigated. A convenience sampling method was used to determine the study group. The study group consisted of a total of 500 individuals; 368 (73.6%) were women and 132 (26.4%) were men. The mean age of women was 26.31 (SD = 9.60, min-max = 18–64), the mean age of men was 29.01 (SD = 10.76, min-max = 18–55), and the mean age of the entire sample was 26.84 (SD = 9.88, min-max = 18–64). The Suicide Probability Scale, Vulnerable Narcissism Scale, Grudge Scale, and Personal Information Form were used as data collection tools in the study. Pearson correlation coefficient was used to examine the relationships between variables in the analysis of the data. Multiple linear regression analysis was conducted to examine the extent to which vulnerable narcissism, grudge, and sociodemographic characteristics are associated with suicide probability. The regression model showed that the independent variables significantly predicted the probability of suicide. According to the results obtained, the independent variables explained 38% of the variation in the probability of suicide {[R = 0.619, R2 = 0.383, F(8, 499)= 38.12, p < 0.0001]}, and vulnerable narcissism and grudge are positive predictors of the probability of suicide. Vulnerable narcissism (β = 0.34, p < 0.001) and grudge (β = 0.22, p < 0.001) are positive predictors of the probability of suicide. Age (β = −0.23, p < 0.001), education level (β = −0.08, p = 0.003), and SEL (β = −0.19, p < 0.001) are significant variables that negatively predict the probability of suicide. Based on the results, it can be said individuals with high levels of narcissism and grudge have a higher probability of suicide, and that some socio-demographic characteristics may influence these relationships. The findings are discussed in light of the literature.
- MakaleAçık Erişim2026Machine learning–enabled ECG arrhythmia classification: a systematic and educational study from signal processing to decision support
Melek, Negin
Electrocardiogram (ECG) signals play a critical role in the early detection of cardiac arrhythmias, which remain a major cause of morbidity and mortality worldwide. While deep learning approaches have achieved high classification accuracy, their increasing complexity often limits interpretability and practical applicability. This study presents a systematic and interpretable framework for multi-class ECG arrhythmia classification, examining the effects of signal processing, feature extraction, feature selection, and evaluation strategies on classification performance. Experiments were conducted on the MIT-BIH Arrhythmia Database using two feature representations: (i) morphological and temporal features, and (ii) a compact wavelet-based representation. Sequential Forward Feature Selection (SFFS) revealed that classification performance saturates at approximately 15 features, indicating that most discriminative information is captured within a compact subset. Using this feature space, the support vector machine (SVM) achieved the best overall performance, reaching 98.54% accuracy with stable results across different configurations. The wavelet-based representation further improved performance balance, yielding lower Golden Distance (GD) values (as low as 0.0249), indicating more consistent behavior across evaluation metrics. Overall, the results demonstrate that carefully designed feature extraction and selection enable classical machine learning methods, particularly SVM, to achieve high and reliable performance, providing an interpretable alternative to more complex black-box models in ECG arrhythmia classification.
- MakaleYalnız künye2026Beyond 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 erişim2026Chitosan-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 künye2026LC–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.
- MakaleYalnız künye2026Purity 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 künye2026Immunosuppressant 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 Erişim2026Artificial-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 erişim2026Maternal 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.