Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Kaygusuz, Abdullah(35)
- Sipahi, Ferkan(35)
- Karsli, Orhan(34)
- Dokuz, Abdurrahman(30)
- Duran, Celal(30)
- Kandemir, Raif(29)
- Ozdes, Duygu(28)
- Maden, Nafiz(27)
- Uzun, Sevda(27)
- Merdan, Mehmet(26)
- Vural, Alaaddin(26)
- Öztürk, Serkan(25)
- Araz, Onur(24)
- Kulakaç, Nurşen(24)
- Ashyralyyev, Charyyar(23)
- Yildiz, Salih(23)
- Yilmaz, Ozgur(23)
- Doğan, Kadir Caner(21)
- Arslan, Mehmet(20)
- Aydin, Faruk(20)
- Doğru, Bülent(20)
- Bayraktar, Alemdar(19)
- Kankal, Murat(19)
- Ayaydin, Hasan(18)
- Baltaci, Cemalettin(18)
- Yolcu, Halil(18)
- Cakir, Tufan(17)
- Cengiz, Ekrem(17)
- Demir, Selim(17)
- Gücer, Mehmet Ali(17)
- Akaryali, Enver(16)
- Artan, Seyfettin(16)
- Hayaloğlu, Pınar(16)
- Kaya, Afşin Ahmet(16)
- Tosunoğlu, Büşra(16)
- Uysal, Ibrahim(16)
- Kurt, Kemal(15)
- Ozturk, Samet(15)
- Reis, Hatice Catal(15)
- Aksakal, Vecihi(14)
Yayınlar
- MakaleYalnız künye2026Utilizing Pollutant Waste Cheese Whey into Low-cost Broth for Bacterial Growth and Protein Production
Alkowlani, Amir Towfiq Hasan; Beldüz, Ali Osman; Çanakçi, Sabriye; Bektaş, Kadriye İnan; Ay, Fulya; Özyurt, Taner; Yıldız, Oktay
Cheese whey (CW), an abundant and nutrient-rich byproduct of cheese production, accounts for approximately 85% of milk volume and is generated globally in quantities reaching 145–200 million tons annually. Despite its biochemical complexity and high organic load, CW remains underutilized in microbial biotechnology. Its pollutant potential is up to 100 times higher than domestic sewage due to extreme biological oxygen demand (BOD), chemical oxygen demand (COD), high nutrient content, and acidity. Untreated discharge causes severe oxygen depletion, damages aquatic ecosystems, degrades soil, and contributes to climate change. This study evaluates CW as a sustainable and cost-effective alternative to synthetic bacterial growth media. Ten bacterial strains were cultured for 17 h in different forms of CW fresh, aged (up to two years), and dried and compared with standard Luria Bertani (LB) medium. Bacterial growth was assessed using optical density at 600 nm (OD₆₀₀), and protein yields were measured in µg/µL. CW supported growth ranged from OD₆₀₀ 2.36–4.46, comparable to 2.53–4.16 in LB, with protein yields between 0.19 and 0.43 µg/µL versus 0.18–0.44 µg/µL in LB. These findings demonstrate that CW can effectively support bacterial proliferation and protein production, offering a novel valorization route for a major agro-industrial pollutant while reducing environmental harm and fermentation costs.
- Kitap BölümüYalnız künye2026Prioritising Digital Talent Initiatives in Universities: Evidence From Turkey
Şimşek, Tuğçe; Şimşek, Aybala; Şimşek, Ahmet Bahadır
Universities are under growing pressure to advance digital transformation, yet priorities in digital talent management often remain unclear. This chapter develops a document-based multi-criteria decision framework to identify and compare such priorities across universities of different institutional scale in Türkiye. Drawing on public strategic plans, quality reports, distance education documentation, and staff development texts from Anadolu, Sakarya, and Tarsus Universities, the study constructs a decision matrix covering three initiatives and six evaluation criteria. Criterion weights are calculated through entropy, and initiative rankings are generated with TOPSIS. The findings show that digital infrastructure support has the strongest discriminating power. Strengthening distance education and LMS infrastructure emerges as the top priority, followed by a needs-based in-service training system and a digital competence development programme. The chapter offers a transparent and transferable framework for setting scale-sensitive digital transformation priorities in higher education.
- MakaleYalnız künye2026Phytochemical profiling, biological activities, and molecular docking analysis of Dorycnium pentaphyllum subsp. haussknechtii
Ayna, Adnan; Hakan, Oguzhan; Yapıcı, İsmail; İzol, Ebubekir; Yılmaz, Mustafa Abdullah; Necip, Adem; Yapar, Yakup
BACKGROUND: In the current study, the biological activity fingerprint of Dorycnium pentaphyllum subsp. haussknechtii was investigated by an interdisciplinary approach through analysis of its phytochemical content, antioxidant capacity, enzyme inhibitory potential and molecular docking. RESULTS: The analysis of the phytochemical content by liquid chromatography–tandem mass spectrometry was characterized by the presence of flavan-3-ols, such as epicatechin, epigallocatechin, and catechin, as well as quercetin-derived flavonoids such as isoquercitrin. Analysis of the antioxidant capacity by 2,2-diphenyl-1-picrylhydrazyl, 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid), ferric reducing antioxidant power, Fe3+–Fe2+ reducing and cupric reducing antioxidant capacity methods indicated the strong antioxidant capacity of the plant extract. In addition, the plant extract was able to modulate biological enzyme activity effectively, with IC50 values of 111.78 μg mL−1 for acetylcholinesterase, 22.07 μg mL−1 for butyrylcholinesterase, 1.39 μg mL−1 for α-glucosidase, 7.34 μg mL−1 for carbonic anhydrase I, and 17.41 μg mL−1 for carbonic anhydrase II. To have a better understanding of the molecular mechanism for the plant extract's properties, the major phenolic compounds present in the plant extract were investigated for molecular docking with their respective enzymes. As such, the results revealed a strong binding affinity and conformational stability, with strong hydrogen bonding and π–π interactions. CONCLUSION: Generally, the properties revealed by the plant extract indicate that the phenolic content, strong antioxidant properties, and enzyme inhibition activity of D. pentaphyllum subsp. haussknechtii have shown great potential for being a useful natural source for therapeutic lead compounds.
- MakaleYalnız künye2026Improving the hydrothermal reduced graphene oxide supercapacitor with heat-moisture-treated potato starch as binder
Daulay, Amru; Yassaroh, Yassaroh; Samada, Lukmanul Hakim; Amrulloh, M. Hanif; Kumaş, Cavit; Nariswari, Mentari Kirana; Putri, Devi Mariska; Chambioso, Yugo
Alternative binders that can be processed in water are still in the early stages of development for more efficient and sustainable supercapacitors. However, their electrochemical performance is still below average. This study uses heat-moisture-treated starch (starch HMT) as a binder for reduced graphene oxide (rGO) supercapacitors. Starch HMT has been fabricated at 120 °C. The XRD diffractogram exhibits peaks at 2θ angles of 15°, 17°, 22°, and 24°. The 2θ values indicate that potato starch is of type B. FTIR spectra show the formation of OH, C–O–C, C-O, C–O–C, and C-H bonds. SEM images show cracks in the morphology. Electrochemical testing shows a specific capacity of 230 F/g at a current density of 1 A/g. The charge–discharge stability of the electrodes at 5000 cycles is 90%. These results offer a framework for developing electrode materials and binders for supercapacitors.
- MakaleYalnız künye2026Multi-scale deep fusion architecture for brain tumor detection via local-contextual feature integration
Reis, Hatice Catal; Turk, Veysel
Early detection of brain tumors is crucial for enhancing treatment strategies and improving clinical prognosis. However, current conventional methods limit diagnostic accuracy and slow down diagnostic processes due to subjective interpretations and dependence on experts. Deep learning-based approaches have the potential to enhance diagnostic accuracy and facilitate early diagnosis by mitigating current limitations in automatic learning techniques for feature extraction and modeling processes. In this study, an advanced deep learning model, Multi-Scale Local-Context Fusion Network (MSLCFNet), is proposed for automatic diagnosis of brain tumors within the scope of oncological diseases. The proposed model evaluates local spatial features, global patterns, and long-range contextual relationships holistically through multi-layered representations, enabling effective identification of complex structures of tumor morphology. This architecture has the potential to increase diagnostic consistency and minimize the risk of misdiagnosis by reducing inter-observer variability, especially in cases where limited contrast and unclear boundaries lead to diagnostic uncertainty. The proposed model achieved accuracy rates of 96.51% and 98.17% on two different MRI brain tumor datasets, respectively. Additionally, a hybrid model based on MSLCFNet+ResNet50 was proposed in the study to obtain high-level feature representations for brain tumor diagnosis. The model offers a significant improvement in the diagnosis process by reducing misdiagnosis rates to 98.86% and 99.50% accuracy. The proposed methods make a significant contribution to enhancing diagnostic accuracy in clinical decision support systems, as they enable the efficient processing of complex morphological structures.
- MakaleYalnız künye2026Burned area detection using Sentinel-1 and Sentinel-2 features and analysis of ensemble models with explainable AI
Günen, Mehmet Akif; Türk, Salih
Wildfires are serious environmental disasters that threaten ecosystem sustainability, reduce biodiversity, and disrupt the global carbon cycle. This study aimed to improve the accuracy and interpretability of burned area mapping in the Bodrum, Köyceğiz, and Marmaris districts of Muğla province, Türkiye, by integrating multi-sensor satellite data with ensemble machine learning and explainable artificial intelligence (XAI). Sentinel-1 and Sentinel-2 imagery were processed to derive 50 optical and radar-based features, which were classified using four ensemble methods: AdaBoost.M1, Random Forest, GentleBoost, and RUSBoost. The SHapley Additive exPlanations framework was applied to quantify the contribution of each feature and guide feature selection. Results indicated that Sentinel-2 spectral indices, particularly NBR, NBRSWIR, and bands B12 and B8, were the most decisive variables for burned area classification, while Sentinel-1 features contributed less strongly overall but the IVH_ratio variable emerged as the most informative radar-based indicator. Among the classifiers, AdaBoost.M1 achieved the most stable and accurate performance, Random Forest showed strong sensitivity to spectral variability, GentleBoost performed effectively with reduced feature sets, and RUSBoost addressed class imbalance but showed weaker spatial continuity. Importantly, classification accuracy saturated after approximately 15 features, demonstrating that high accuracy can be achieved with fewer inputs and lower computational demand. Moreover, McNemar’s statistical test confirmed that the observed differences among classifiers were significant, highlighting GentleBoost’s clear superiority over other methods. Overall, the integration of optical and radar data with XAI provides a transparent, efficient, and replicable framework for operational burned area monitoring in Mediterranean ecosystems.
- MakaleYalnız künye2026Financial Simulation of Remote Healthcare Implementation Strategies in Türkiye: A Monte Carlo Analysis Based on Specialty-Specific Eligibility
Demir, Hüseyin; Akar, Tuncay; Mertoğlu, Süleyman; Burmaoğlu, Serhat; Tekinarslan, Merve
The expansion of universal health coverage in Türkiye has intensified pressure on public healthcare providers through high outpatient volumes that strain capacity and financial sustainability. Remote healthcare delivery has emerged as a potential strategy to improve efficiency and access. However, limited evidence exists on how remote outpatient care should be implemented across medical specialties within a universal payer system, or how alternative implementation strategies perform financially. This study evaluates the specialty-specific feasibility and financial impact of remote outpatient care using comprehensive administrative data from a large public training and research hospital in Izmir, supplemented by qualitative input from clinical specialists. The analysis includes 577,984 outpatient visits recorded in 2022 across major medical specialties. Eligibility for remote delivery is identified using observable clinical proxies—imaging requests, laboratory tests, and prescription issuance—to capture visits not requiring physical examination or procedural intervention. Results show that 121,248 visits (21.0%) are suitable for remote delivery, accounting for 16.2% of expenditures ($0.68 million out of $4.20 million). Remote eligibility varies substantially across specialties, with high suitability in dermatology and infectious diseases but limited applicability in device-dependent fields such as pulmonology. Four implementation scenarios are simulated over a 10-year horizon: Regulatory Compliance, Evidence-Based Specialty-Specific, Follow-Up Only, and Hybrid Progressive. The Regulatory Compliance scenario yields the shortest break-even period (3 years) and highest ROI (1185%). The Hybrid Progressive scenario, incorporating phased specialty expansion and AI-supported triage, requires higher upfront costs but generates the largest cumulative net savings ($1.39 million). The findings demonstrate that financially sustainable remote outpatient care can be achieved through carefully designed, specialty-specific implementation strategies.
- Derleme MakaleYalnız künye2026Activated Carbon Derived from Coal and its Application for Wastewater Treatment
Daulay, Amru; Yassaroh, Yassaroh; Huda, Miftahul; Sumardi, Slamet; Prasetia, Hendra; Kumaş, Cavit; Yusmiati; Lestari, Devi
Coal is used to produce fuels, chemicals, and other high-value-added products to improve efficiency. Activated carbon (AC) derived from coal is an important part of coal’s resource utilization and is high-value-added. This study presents relevant research on AC derived from coal, including raw material selection, preparation methods, modification techniques, and regeneration methods. The potential applications of AC derived from coal for the adsorption of contaminants, including heavy metals, pesticides, pharmaceutical compounds, and organic and inorganic compounds, are reviewed. One of the advantages of using AC derived from coal in wastewater treatment is high adsorption, low cost, and sustainability.
- Kitap BölümüYalnız künye2026Catalytic Nanocomposites in Oxidative on Adsorptive Delsulfurization Process: A Comprehensive Review
Altuner, Elif Esra; Bozbeyoglu, Pinar; Özkan, Vildan; Ozkan, Abdullah
Humanity's need for energy is an undeniable fact, and this reality is increasing day by day. To meet its growing energy needs, humanity has turned to fossil fuels. Fossil fuels are fuels derived from animal and plant fossils formed over millions of years. However, the excessive use of fossil fuels for energy needs has created a dangerous situation that threatens to deplete fossil fuel reserves. Furthermore, the burning of fossil fuels releases toxic emissions. These emissions cause serious health problems for living organisms and also harm the ecosystem. These gases include sulfate (SO2) and sulfur derivatives, carbon dioxide (CO2), carbon monoxide, and nitrogen oxide derivatives (NOx). This chapter focuses on catalytic techniques using nanocomposite materials for the removal of SO2 and sulfur derivatives, with detailed references to relevant sources. SO2 and sulfur gases are harmful gases released by the combustion of fossil fuels. Nanocomposite production methods include sol- gel formation, gel shaping, chemical vapor deposition (CVD), and physical vapor deposition (PVD), layered production, electrospinning, mechanical and ultrasonic techniques, additive manufacturing, and melting mixture. Desulfurization processes using these methods are as follows: (i) oxidative desulfurization, photocatalytic desulfurization, and absorptive- catalytic desulfurization. All techniques are explained with references to the relevant sources. This chapter provides theoretically important information for researchers working on nanotechnological catalytic studies in desulfurization.
- Kitap BölümüYalnız künye2026Control Tower-Driven Multi-Echelon Inventory Positioning in Pharmaceutical Supply Chains
Şimşek, Ahmet Bahadır; Şimşek, Aybala
Pharmaceutical supply chains face high shortage risk when demand uncertainty interacts with lead-time variability, while shelf-life limits, cold-chain requirements, and quality-release delays raise the cost of both stockouts and excess inventory. This chapter proposes a control tower–driven decision-support framework for multi-echelon inventory positioning that converts visibility into actionable policies. A multi-echelon optimization module generates candidate target-stock and reorder policies across manufacturing and distribution echelons. Monte Carlo–based scenario analysis tests robustness under demand, lead-time, and disruption uncertainty. An MCDA layer then ranks policies using total cost, service level, shortage probability, expediting intensity, days of supply, and recovery time, with sensitivity analysis when weights are uncertain. The framework provides a signal-to-decision map, event-triggered policy updates, and a compact metric dictionary for shortage-risk management without proprietary field data.
- MakaleYalnız künye2026In sepsis-associated cardiotoxicity, remifentanil reduces oxidative stress, inflammation, and apoptosis to maintain mitochondrial biogenesis by inhibiting NFkB and cas-3 immunoexpressions and enhancing SIRT1 upregulation
Tepebaşi, Muhammet Yusuf; Aşci, Halil; Selçuk, Esma; Uysal, Dinçer; Bindal, Ahmet; Yüksel, Duygu; Özmen, Özlem
Objective: Sepsis-induced cardiotoxicity (SIC) is a critical complication characterized by inflammation, oxidative stress, and apoptosis, leading to myocardial dysfunction. The short-acting opioid analgesic remifentanil (REMI) possesses antioxidant and anti-inflammatory properties. This study aimed to evaluate the cardioprotective effects of REMI on lipopolysaccharide (LPS)-induced SIC by examining inflammation, oxidative stress, apoptosis, and mitochondrial function. Materials and methods: Thirty-two female Wistar albino rats were divided into four groups: control, lipopolysaccharide (LPS), LPS+REMI, and REMI. Myocardial and aortic tissues were analyzed for histopathology, immunoexpression of Caspase-3 (Cas-3), nuclear factor kappa beta (NF-κB), and tumor necrosis factor alpha (TNF-α). Oxidative stress markers, including total oxidant status (TOS), total antioxidant status (TAS), and oxidative stress index (OSI), were measured. Mitochondrial apoptosis-related gene expression of AMP-activated protein kinase (AMPK), BCL2 Associated X (BAX), B-cell lymphoma 2 (BCL-2), Sirtuin 1 (SIRT1), and Peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC1α) was assessed. Results: LPS administration induced severe histopathological damage, increased oxidative stress (elevated TOS and OSI), and upregulated apoptotic (Cas-3, BAX/BCL-2 imbalance) and inflammatory (NF-κB, TNF-α) markers. REMI treatment significantly alleviated myocardial and aortic injury, reducing the histopathological score. It markedly decreased Cas-3, NF-κB, and TNF-α expression, lowered TOS and OSI levels, and modulated the BAX/BCL-2. Furthermore, REMI restored the expression of AMPK, SIRT1, and PGC-1α genes, indicating a protective effect on mitochondrial biogenesis and energy metabolism. Conclusions: REMI exhibits significant cardioprotective effects in LPS-induced SIC by attenuating inflammation, oxidative stress, and apoptosis while preserving mitochondrial homeostasis.
- MakaleYalnız künye2026Synthesis, antioxidant, and antiurease activities of novel benzimidazole-based 1,3,4-thiadiazole derivatives
Gümrükçüoğlu, Taner İlker; Akgün, Hakan; Bektaş, Hakan; Sökmen, Bahar Bilgin; Menteşe, Emre
In this study, we report the synthesis and characterisation of five new benzimidazole-based 1, 3, 4-thiadiazole derivatives (5a–e) and the evaluation of their antioxidant and antiurease activities. The structures were confirmed by NMR (1H, 13C) and LC/TOF–MS analyses (spectra are given in the supplementary information). Biological assays (DPPH, ABTS, iron-reducing power, urease inhibition) revealed that compound 5e (bearing a 4-nitrophenyl substituent) exhibited the strongest urease inhibition (EC50 = 0.1296 ± 0.0260 µM), surpassing thiourea. One-way ANOVA revealed significant differences in urease inhibition between the compounds (p<0.001). Post-hoc Tukey tests confirmed that compound 5e was more effective than several other compounds. The compounds exhibited moderate and comparable antioxidant activities. The first SAR study shows that electron-withdrawing substituents increase urease inhibition, whereas electron-donating groups increase the reducing power. Comparison with earlier reported triazole analogues shows scaffold-dependent changes in bioactivity. These findings support thiadiazoles as promising dual-function agents for oxidative stress and urease-associated pathologies.
- MakaleYalnız künye2026A reliability generalization meta-analysis of job insecurity scales: Evidence from hospitality and tourism research
Polat, Eray
The study examines the pooled reliability estimates of job insecurity (JI) scales employed in hospitality and tourism (H&T) research. By synthesizing reported reliability coefficients and identifying moderators influencing score consistency, this meta-analytic study consolidates the fragmented psychometric evidence in the field. Reliability coefficients were derived from 140 independent samples comprising 56,265 respondents. Pooled reliability estimates were calculated separately for each scale, and moderator analyses were performed to explain the variability. Findings indicate that De Witte's (2000) scale is the most frequently utilized scale. Pienaar et al.’s (2013) scale yielded the highest estimate (α=.94, 95% CI [.89.,97]), whereas Hellgren and Sverke's (2003) scale demonstrated the lowest (α=.82, 95% CI [.78.,85]). Moderator analyses revealed that scale version, publication year, number of items, sample size, scale mean, and gender distribution significantly influenced reliability estimates. The study provides robust, context-dependent evidence to inform the selection of JI scales.
- BildiriYalnız künye2026Analysis of Temporal Consistency in Video-Based Palmprint ROI Tracking
Sunnetci, Betul Kosmaz; Bingol, Ozkan; Gedikli, Eyup
In real-time palmprint recognition systems, operating under unconstrained conditions, maintaining the defined palmprint region of interest (ROI) throughout hand motion presents a significant challenge. Variations in hand position or orientation may cause the ROI to shift unexpectedly or partially or completely disappear, which can adversely affect subsequent processing steps and their computational cost. In this study, the temporal stability and consistency of palmprint ROIs extracted from video data in the MPW-180 dataset were evaluated using two different approaches. Specifically, the behavior of two methods (optical flow based tracking and keypoint-based MediaPipe Hands detection) was quantitatively analyzed over time using corner position shifts and overlap ratios. Experimental results indicate that although the keypointbased method produces spatially accurate ROI estimates, it may exhibit sudden positional jumps in certain frames. In contrast, the optical flow method provides smoother motion transitions but may introduce positional drift over time due to the accumulation of tracking errors.
- MakaleYalnız künye2026Surrogate Trauma in Nurses Providing Pediatric Palliative Care: A Phenomenological Study
Oğuzhan, Hatice; Akay, Gamze; Uzun, Sevda; Koç, Elif Simay; Öncer, Aysun
The aim of this study was to deeply examine the experiences of proxy grief among nurses providing pediatric palliative care. This qualitative phenomenological study was conducted with 16 nurses working in the pediatric ward of a hospital located in the northern region of the country. Data were analyzed using Colaizzi’s phenomenological analysis method. The analysis revealed 3 themes (challenges experienced while caring for children in palliative care; secondary trauma and coping processes; proxy trauma and professional resilience) and 9 sub-themes (emotional strain during care, establishing an empathetic bond, emotional exhaustion, traumatic experiences, seeking psychological support, religious coping methods, developing a professional approach, resilience and acceptance, and motivation to continue in the profession). The study found that nurses providing pediatric palliative care experienced significant psychosocial stress. Pediatric nurses were particularly challenged emotionally when caring for palliative patients. In this context, it is important to develop stress-coping skills to help nurses manage vicarious trauma. Strengthening nurses psychologically and spiritually will positively impact their professional lives, which in turn will enhance the quality of care they provide.
- MakaleYayıncıda açık erişim2026New Records for the Algal Flora of Türkiye from Blanket Bogs of the Eastern Black Sea Region
Akar, Bülent; Avci, Utku
Blanket bogs are ombrotrophic peatlands where water is mainly supplied by precipitation. This study reports new algal records from blanket bogs in Türkiye, contributing to the knowledge of Türkiye’s freshwater algal flora. Algal samples were collected from five different blanket bogs located in the Eastern Black Sea Region of Türkiye. Samples were obtained on a monthly basis during selected months, May, July, and September in 2021, May and September in 2022, and July in 2023. A total of 50 taxa belonging to 19 genera were identified: Scytonema (1), Cavinula (1), Kobayasiella (1), Netrium (4), Closterium (3), Actinotaenium (5), Cosmarium (3), Euastrum (3), Micrasterias (2), Spondylosium (1), Staurastrum (15), Staurodesmus (2), Tetmemorus (2), Microspora (1), Characium (1), Desmodesmus (1), Trachelomonas (2), Calycimonas (1), and Opisthoaulax (1). Calycimonas and Opisthoaulax are reported as new genera for the freshwater algal flora of Türkiye. The identified taxa were predominantly observed in acidic, oligotrophic and low-conductivity waters, thereby indicating the distinctive ecological characteristics and conservation value of alpine blanket peat bogs.
- MakaleYalnız künye2026The Effect of Parrot Therapy on During Venipuncture Pain in Chronic Patients
Demirağ, Hatice; Tuç, Adile
Objective There are no randomized controlled trial (RCT) in the current literature comparing live, robotic, and visual animal-based therapies. This single-blind randomized controlled trial was conducted to comparatively evaluate the effectiveness of live parrot, robotic parrot, and parrot picture therapies on pain during venipuncture in adults with chronic illness. Methods The study included 240 patients randomized into four groups. Groups interacted with live parrots, robotic parrots, or parrot pictures during venipuncture. The control group received no intervention. Pain levels were assessed before and after the procedure using the "Visual Analog Scale (VAS)." Analysis was performed using Chi-Square test, One-way ANOVA and paired samples t-test. Results There was no difference in pre-procedure pain scores between the groups (p ' .05). After the procedure, the VAS score for the live parrot group was 2.01 ± 1.35, for the robotic parrot group 2.03 ± 1.46, for the parrot picture group 2.08 ± 1.62, and for the control group 4.91 ± 1.88. Again, after the procedure, pain scores in all experimental groups were found to be significantly lower than in the control group (p ' .001). Live parrot therapy was found to be the most effective pet therapy, followed by robotic parrot and parrot picture therapy. The reduction in pain in the live parrot group was statistically more significant than in the picture group. Conclusion The research findings revealed that pet therapy applied during venipuncture, especially live animal interaction, may be a potentially effective, safe, and non-pharmacological method for reducing pain. Robotic animals, on the other hand, can be considered a promising alternative when the use of live animals is not possible. It is recommended that these distraction strategies be considered and integration into routine nursing practices be developed as part of patient-centered care.
- MakaleYalnız künye2026The Trend of Monthly Mean Streamflow Values and Regimes in the Susurluk Basin (Türkiye) with Mountain and Semi-Arid Climates
Yıldız, Mehmet Berkant; Toğrul, Burçe; Kankal, Murat; Akçay, Fatma; Şan, Murat; Nacar, Sinan
This study diagnoses monthly trends in streamflow magnitude and regime for the Susurluk Basin (Türkiye), which spans semi-arid and mountainous sub-climates. Monthly records from 1990 to 2019 were analyzed at 14 stream gauges and nine precipitation stations. Trends are assessed with the Mann–Kendall (MK) test alongside recent graphical approaches, Improved Visualization for Innovative Trend Analyses (IV-ITA) to resolve value class-based (low/high) behavior, and Innovative Polygon Trend Analysis (IPTA) with the Star Concept to quantify intra-annual transitions. Before the trend analyses, the stations were tested to determine whether their values were homogeneous, and any inhomogeneous stations were excluded from the study. The consistency between the trends of nine precipitation stations and the streamflow data in the basin was analyzed. Across the basin, the average streamflow increased by approximately 40–60% between January and March at many measurement points. However, it then decreased by around 80% in April, albeit at a more moderate rate in December. This suggests significant rebalancing occurred during the December–April period, when most of the annual streamflow occurs. IV-ITA exhibits broadly similar trends for both low and high streamflow classes, with notable exceptions in January–February. Precipitation–streamflow trend directions are largely consistent in the high-flow season (December–April), supporting the notion that climatic control influences the detected shifts. To contextualize these signals, basin-wide land-use/land-cover shifts (1990–2018), notably urban growth, forest expansion, and cropland reconfiguration, provide process context, indicating that a larger fraction of rainfall is routed as fast surface runoff while infiltration and base streamflow recharge decline, alongside seasonally modified water demand. Collectively, the MK+IV-ITA+IPTA framework reveals class-specific and intra-annual dynamics that are obscured by monolithic tests alone and provides decision-relevant evidence for allocation, drought–flood risk, and operations in an intensively managed basin.
- MakaleYalnız künye2026Phenolic Profiling of Laurus nobilis by LC–ESI–MS/MS: In Vitro Bioactivities and In Silico Enzyme Docking
Bak, Funda Erşen; Canbolat Gültekin, Deniz; Akmeşe, Osman; Atalay, Abdurrahman; Turan, İbrahim; Gültekin, Ergün; Demir, Selim; Aliyazicioglu, Yüksel
This study evaluated the branch, leaf, and fruit extracts of Laurus nobilis collected from Artvin in terms of phenolic composition, antioxidant, antimicrobial, and antidiabetic activities and additionally investigated the binding of selected phenolics to α-amylase/α-glucosidase targets through molecular docking. Using LC–ESI–MS/MS analysis, 31 phenolic compounds were quantitatively identified, with epicatechin, luteolin-7-O-glucoside, and rutin predominating particularly in the branches and leaves. Antioxidant capacity was higher in branches and leaves (total phenolic content [TPC]/FRAP/DPPH IC50: branches and leaves, respectively, 95.27–60.84 mg gallic acid equivalent [GAE]/g, 206.16–162.05 mg Trolox equivalent [TE]/g, and 46.95–113.49 µg/mL). Antimicrobial activity was observed within a minimum inhibitory concentration (MIC) range of 1.25–10 mg/mL; leaves exhibited the strongest effect against Bacillus cereus (1.25 mg/mL), whereas fruits were most effective against Candida albicans (1.25 mg/mL). In antidiabetic evaluation, fruits yielded the lowest IC50 values against α-amylase and α-glucosidase (4.31 and 8.97 mg/mL, respectively), suggesting a “composition-over-quantity” effect despite low total phenolic content. Docking results supported high binding affinities of rutin (α-glucosidase −9.3 kcal/mol; α-amylase −8.1 kcal/mol) and luteolin (−8.6 kcal/mol for both enzymes). Overall, although branches and leaves exhibited strong antioxidant profiles, fruits showed more pronounced inhibitory effects on digestive enzymes; therefore, fractionation studies and in vivo/kinetic validations are recommended.
- MakaleYalnız künye2026An AI-Supported Virtual Patient Application Using a Structured Prompting Framework to Develop Mental Status Examination Skills in Psychiatric Nursing Internship Students: An Interventional Mixed-Methods Study
Tuncer, Gülsüm Zekiye; Çetinkaya Duman, Zekiye; Kilinçkaya, Başak
The aim of this study is to evaluate the effect of an artificial intelligence (AI)-powered virtual patient application (ChatGPT) on the development of Mental Status Examination (MSE) skills in psychiatric nursing internship students and to explore how this process is reflected in their experiences. This study employed a sequential explanatory mixed-method design, consisting of a quantitative pre/post-test phase followed by a qualitative phase. In the quantitative phase, the MSE Competency Assessment scores of 27 undergraduate psychiatric nursing internship students were evaluated using a pre-test/post-test model. In the qualitative phase, in-depth individual interviews were conducted with 18 volunteer students. As part of the intervention, students participated in the “AI-Supported Virtual Patient Intervention: Structured Prompting Framework”. The quantitative findings of the study revealed that the mean MSE Competency Assessment scores increased from 42.00 ± 6.43 in the pre-test to 49.57 ± 3.44 in the post-test (Z = −6.266, p < 0.001). Thematic analysis of the qualitative data yielded five main themes: Skill Development, Learning Experience, Impact of AI, Debriefing, and Limitations. Students reported that the application enhanced their MSE examination and communication skills; they also described a unique learning experience through AI, highlighted the importance of guided support.