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Öğe Eco-friendly lead-free metal halide perovskites: progress and prospects in multifunctional applications(Elsevier B.V., 2025) Mukhtar, Maria; Goud, Burragoni Sravanthi; Ali, Zeeshan; Shaid, Muhammad Waleed; Naz, Bushra; Ain, Qurat Ul; Assiri, Mohammed A.; Sönmezoğlu, Savaş; Rajpar, Altaf Hussain; Kim, Jae Hong; Aftab, SikandarRecently, metal halide perovskites have engrossed a lot of attraction in the field of developing optoelectronic technologies due to their special optical-electronic characteristics. The toxicity of lead (Pb) based perovskites has developed a major obstacle that restricts their widespread use, despite the fact that they seem to be rising stars in optoelectronic devices. To overcome this hurdle, Pb-free substitutive perovskites have earned growing interest because of their theoretically remarkable environment friendly optoelectronic properties besides compromising stability and enactment. They are not only gaining attention for applications in solar devices but their properties make them an ideal candidate for many other demanding applications. To elucidate the applicability of eco-friendly perovskites in numerous applications, the present article provides an extensive overview of current developments in eco-friendly perovskites in a range of contemporary applications outside of photovoltaics. An overview of these Pb-free perovskites' crystal structure and chemical variety is initially presented. For a number of purposes like artificial synapses, light-emitting diodes, resistive switching memory, photodetectors, and displays, a methodical review of lead-free perovskites is presented in this article. The demonstration of photocatalysis, radiation detection, imaging, sensors, thermoelectric and piezoelectric energy harvesting, and more is crucial. Pb-free perovskite future development prospects and challenges in the aforementioned fields are described, that are thought to be essential for accelerating the profitable adoption of above-mentioned cutting-edge technologies. © 2025 Elsevier B.V.Öğe An efficient binary harris hawks optimization based on logical operators for wind turbine layout according to various wind scenarios(Elsevier B.V., 2025) Beşkirli, AyşeNowadays, with the demand for renewable energy the interest in wind energy is increasing day by day and the use of wind turbines is becoming widespread. In order to efficiently generate electricity from wind turbines, it is important that the turbines are correctly positioned on wind farms. In this study, a standard wind farm area of 2 km × 2 km was used for wind turbine layout. In addition, different from the literature, a 4 km × 4 km wind farm area was also created. Both wind farming areas were divided into 10 × 10 and 20 × 20 grids as in the literature. In addition, 25 × 25, 40 × 40 and 50 × 50 grids were also created. Thus, the wind farming area is divided into more grids and more flexible positioning of the turbines is aimed. There are three different case scenarios for the layout of the wind turbines. Case A has a constant wind speed of 12 m/s and unidirectional wind, while Case B has a constant wind speed of 12 m/s with a 36-directional 10° angle. Case C has variable wind speeds of 8, 12 and 17 m/s with a 36-directional 10° angle. The HHO algorithm was used to perform all these processes. However, since the wind turbine layout problem is binary, the HHO algorithm is adapted to binary with logic operators. These binary methods are called HHOAND and HHOXOR. The proposed methods achieved competitive results compared to other algorithms in the literature and performed well for all grid structures. Thus, it can be said that the proposed methods are effective for the wind turbine layout problem. © 2025 The Author(s)Öğe Microbiome modulation as a novel therapeutic modality for anxiety disorders: a review of clinical trials(Elsevier B.V., 2025) Adıgüzel, Emre; Yılmaz, Şemsi Gül; Atabilen, Büşra; Şeref, BetülAnxiety disorders are one of the major conditions in psychiatry characterized by symptoms such as worry, social and performance fears, unexpected and/or triggered panic attacks, anticipatory anxiety, and avoidance behaviors. Recent developments have drawn attention to the putative involvement of peripheral systems in the control of anxiety, and the gut microbiota has come to light as an emerging peripheral target for anxiety. The relationship between the gut-brain axis, a bidirectional communication network between the central nervous system (CNS) and enteric nervous system (ENS), and anxiety has been the subject of some recent studies. Therefore, this systematic review analyzed clinical trials evaluating the potential of microbiome modulation methods in mitigating and ameliorating anxiety disorders. Clinical studies on probiotic, prebiotic, synbiotic supplements, dietary interventions, and fecal microbiota transplantation in anxiety disorders were screened. All of the studies examined the effects of probiotic intervention. One of these studies compared a prebiotic-rich diet with probiotic supplementation. Longitudinal analyses showed that the probiotic intervention alleviated anxiety. However, most of the controlled studies reported that the probiotic intervention did not make a difference compared to placebo. Thus, the current findings suggest that it is too early to consider the promising role of microbiome modulation in the treatment of anxiety disorders. However, it is obvious that more clinical research is needed to clarify issues such as probiotic strains, prebiotic types, and their doses that may be effective on anxiety disorders. © 2025 Elsevier B.V.Öğe A fluorescent chemoprobe based on carbazole for hypochlorite with fast response: design and its applications in test strips, water samples and living cells(Elsevier B.V., 2025) Savran, Tahir; Karuk, Elmas; Şükriye Nihan; Arslan, Fatma Nur; Sadi, GökhanHypochlorite (ClO−) has been widely used as the main component of cleaning agents, and is also used in the treatment of disinfect water. The concentration of ClO− is critical for living organisms andthe environment. Hence, it is essential to develop reliable, sensitive and user-friendly molecular sensors to determine ClO−. In this context, the synthesized probe 2,4-di-tert-butyl-6-((E)-(((E)-(9-pentyl-9H-carbazol-3-yl)methylene) hydrazono) methyl) phenol (TBCP) can detect ClO− with rapid response (1 min), low detection limit (0.28 µM) and high sensitivity. Also, the sensor is utilized at wide pH range (4–10) for the determination of ClO−. TBCP showed outstanding selectivity for ClO− over other competing analytes via a fluorescent response change from colorless to orange, and its response mechanism was based on a deprotonation phenomenon. The ClO− level was successfully determined by TBCP on test kits, cotton swabs and in real samples. Fluorescent bio-imaging of ClO− in HEPG2 cells was also carried out in the presence of TBCP. Furthermore, DFT calculations were performed successfully for TBCP and TBCP + ClO− complex. © 2025 Elsevier B.V.Öğe A machine learning-based real-time remaining useful life estimation and fair pricing strategy for electric vehicle battery swapping stations(İeee-Inst Electrical Electronics Engineers İnc, 2025) Çeltek, Seyit Alperen; Kul, Seda; Polat, A. Ozgur; Zeinoddini-Meymand, Hamed; Shahnia, FarhadThe increasing adoption of electric vehicles (EVs) has led to the widespread implementation of battery swapping stations. However, ensuring fairness in battery pricing remains a significant challenge since variations in battery health and performance among swapped batteries can result in user dissatisfaction and operational inefficiencies. This paper introduces a novel approach to enhance fairness in battery swapping by integrating a machine learning-based real-time prediction model with a pricing strategy based on remaining useful life (RUL) estimation to address this issue. The proposed solution comprises a real-time RUL estimation system and a dynamic pricing mechanism that ensures fair pricing based on battery health and performance. This integrated approach aims to improve user satisfaction and the operational efficiency of swapping stations. The paper evaluates various machine learning algorithms for real-time RUL estimation regarding accuracy, computation time, and memory usage. The results suggest that XGBoost provides the most suitable balance between accuracy and efficiency, making it an effective solution for real-world applications. Comparative analysis shows that the XGBoost model outperforms the second-best method (Random Forest) with a lower error (3.50 vs 3.79) while maintaining competitive computational efficiency (9.75 vs 8.52 seconds) and memory usage (2.12 vs 2.32 MB) when solving a typical numerical case study problem. The proposed approach has the potential to accelerate the adoption of electric vehicles and contribute to sustainability goals by promoting efficient battery utilization and fair pricing mechanisms.Öğe Photoluminescence and thermoluminescence studies of beta-ırradiated ba3cdsi2o8:tb3+ phosphor for led and dosimetry applications(John Wiley and Sons Ltd, 2025) Başaran, Büşra Yazıcı; Kafadar, Vural Emir; Emen, Fatih Mehmet; Öztürk, Esra; Karaçolak, Ali İhsanThe present work reports the preparation, characterization, and photoluminescence (PL) and thermoluminescence (TL) responses of Tb3+-doped Ba₃CdSi₂O₈ phosphors. X-ray diffraction analysis confirmed the consistency of the Tb3+-doped Ba₃CdSi₂O₈ samples with the PDF 00-028-0128 card structure. The TL glow curve of the material was examined at different dopant concentrations after irradiation with a 90Sr/90Y beta source. Among the samples, Ba₃CdSi₂O₈: 5% Tb3+ exhibited the highest TL intensity compared with the other concentrations. The glow curve deconvolution method was used to determine the number of peaks, trap structure, and kinetic parameters within the TL glow curve, yielding a figure of merit (FOM) value of 1.11. The PL spectra show that the 2.0%, 3.0%, 4.0%, 5.0%, and 6.0% mole Tb3+-doped Ba₃Cd (SiO₄)₂ phosphors capture excitation energy through the 4f-5d transitions of Tb3+ ions and emit light at 417, 440, 492, 552, 589, and 628 nm, corresponding to the 5D₃–7F₅, 5D₃–7F₄, 5D₄–7F₆, 5D₄–7F₅, 5D₄–7F₄, and 5D₄–7F₃ transitions, respectively. © 2025 The Author(s). Luminescence published by John Wiley & Sons Ltd.Öğe Defect passivation and crystallization management enabled by thulium dopant as b-site cation for highly stable and efficiency fully inorganic perovskite solar cells with over 17% efficiency(Elsevier B.V., 2025) Camızcı, Ebubekir; Dilci, Ibrahimhan; Xiao, Zhengguo; Sönmezoğlu, SavaşDespite their outstanding thermal stability and optimal band gap for tandem devices, the development of high-performance CsPbI2Br-based inorganic perovskite solar cells is considerably hampered by defect-induced nonradiative recombination and halide ion migration. Herein, we have developed a series of CsPbI2Br inorganic perovskite materials modified by incorporation of thulium (Tm3+) ions as B-site heterovalent dopants and explored their favourable impacts on the photovoltaic and stability performance of fully inorganic perovskite solar cells (FTO/SnO2/CsPb1-xTmxI2Br/CuSCN/r-GO/Au) for the first time. The champion solar cell achieves an impressive efficiency exceeding 17 %, with less degradation (<5%) after 400 h of operational stability and ∼30 % after 320 h of shelf stability owing to suppression of nonradiative recombination of carriers and inhibition of halide ion migration by controlling crystallization and phase stabilization. Overall, Tm3+ ions do not play a role only elimination of ion migration and defects in perovskite film but also protects perovskite layer from moisture and continuous light illumination in fully inorganic perovskite solar cells. © 2025 Elsevier B.V.Öğe Abdominal compliance may influence intracranial pressure(Springer Japan Kk, 2025) Yarımoğlu, Rafet; Başaran, BetülWe read with interest the recently published article by Kim et al., which speculates the relationship between obesity and optic nerve sheath diameter (ONSD) in patients undergoing laparoscopic gynecological surgery [1]. As the authors note, high abdominal pressure levels may further elevate intracranial pressure (ICP) during the steep Trendelenburg position and pneumoperitoneum. In the current article, Kim et al. stated they accepted patients with a history of ophthalmological, cerebrovascular, or brain tumor surgery as exclusion criteria. However, patients with a history of abdominal surgery or pulmonary diseases were not accepted as an exclusion criteria. This may complicate the results in this article somewhat. Understanding abdominal compliance (AC) is essential for grasping the efects of mentioned factors on abdominal pressure [2]. AC is defned as a change in abdominal volume per alteration of the intraabdominal pressure. Previous abdominal surgery may change abdominal compliance by gradually pre-stretching the abdominal muscles or decreasing the distensibility of the abdominal wall by scarring the muscle fbers and fascial layers [3]. On the other hand, these patients' compliance changes are observed less during surgery than in those without prior surgical experience [3]. Additionally, abdominal compliance (AC) is associated with not only altering the capacity of the abdominal wall but also with the stretching and pressurization capabilities of the diaphragm, which could be afected in individuals with chronic pulmonary lung disease [4]. This may impact ICP and ONSD by causing changes in thoracoabdominal pressure. Another noteworthy point in the article is that the cut-of value of body mass index (BMI) for classifying individuals as obese or non-obese is set at 30 kg/m2 . Therefore, the nonobese group also includes the data for overweight patients (BMI, 25 kg/m2 to 29.9 kg/m2 ). To clearly distinguish the impact of obesity on ONSD, it would be ideal to focus exclusively on individuals with a BMI above 30 kg/m2 for those classifed as obese and below 25 kg/m2 for those considered non-obese. This approach will efectively highlight the differences between these two groups [5]. This way, it can highlight the diferences between these two groups meaningfully. Based on the above, it may be more suitable to mention the surgical and pulmonary histories of patients. It would be more appropriate not to include overweight patients in the non-obese group to show the actual efect of obesity on ONSD during laparoscopic gynecological surgeries.Öğe Nutritional determinants of health-related quality of life in community-dwelling and institutionalized older adults: nutritional assessment scores, dietary acid load, and anthropometric measurements(Modestum Ltd, 2025) Kanbur-Usug, Aslı; Acar-Tek, Nilüfer; Adıgüzel, EmreAim: This study aimed to investigate the relationship between nutritional parameters and health-related quality of life in institutionalized and community-dwelling older adults. Methods: The Mini Nutritional Assessment (MNA) and Short Nutritional Assessment Questionnaire 65+ were used as nutritional assessment tools. The three-day dietary record was used to determine nutrient intakes and the data were analyzed in the Nutrition Information System, a food analysis software. Anthropometric measurements related to nutritional status were also recorded. The Short-Form-36 (SF-36) health-related quality of life scale was used to assess life quality. Results: Correlation analysis showed that SF-36 physical component scores were negatively associated with body mass index (BMI) and SF-36 mental component scores were positively associated with MNA in communitydwellingolderadults. In institutionalized older adults, both SF-36 scores were positively correlated with MNA and muscle mass. Furthermore, multiple linear regression analyses showed that both SF-36 scores were positively associated with MNA and negatively associated with BMI in all participants. However, dietary acid load was not significantly associated with SF-36 scores. Conclusions: The MNA was almost the only nutritional parameter positively correlated with SF-36 physical and mental component scores. Therefore, it is thought that MNA, a nutritional assessmenttool, can also be considered in assessing quality of life.Öğe Bilateral cross hashing image retrieval based on principal component analysis(Springer Heidelberg, 2025) Yılmaz, AhmetImage retrieval (IR) has become a crucial challenge in computer vision with the exponential growth of digital imagery. The existing methods employ a single hash source, which may overlook deep details in the image, and they struggle to handle the complexity and diversity of modern visual data. This study addresses this limitation by proposing a novel deep hashing-based IR method named bilateral cross hashing based on principal component analysis (BCHP). Bilateral cross hashing based on principal component analysis-image retrieval (BCHP-IR) employs the feature extraction capabilities of residual network-50 (ResNet-50) and the dimensionality reduction and information preservation properties of principal component analysis (PCA). The method extracts high-level features from query images using ResNet-50 and then compresses both features and class labels using PCA. The compressed data undergoes quantization to generate binary codes. These "bilateral" hash codes are combined to capture deep features and compared with image codes in the database. The BCHP-IR's effectiveness is demonstrated through extensive comparative analysis against reported methods, achieving superior performance metrics. On the MS-COCO dataset, BCHP-IR achieves mAP scores that are higher than the average of other benchmark algorithms by 6.3, 6.4, 6.2 and 5.0 at hash lengths of 16, 32, 48 and 64, respectively. These enhancements at those hash lengths are 4.6, 4.7, 4.8 and 4.3 for the NUS-WIDE dataset and 3.9, 2.9, 2.5 and 2.1 for the ImageNet dataset. Therefore, the proposed BCHP-IR method harnesses the power of ResNet-50 and PCA and offers a promising solution for efficient and effective image retrieval.Öğe Cardiovascular disease markers in schizophrenia during negative symptoms and remission periods(Mdpi, 2025) İmre, Okan; Imre, Gurkan; Muştu, Mehmet; Acat, Ömer; Kocabaş, RahimObjectives: This study aims to investigate cardiovascular disease markers in patients with schizophrenia and to contribute to the early indication of asymptomatic cardiovascular diseases in these patients. In our study, there are three groups: schizophrenia with negative symptoms (SCH-N), schizophrenia in remission (SCH-R), and a healthy control group (HC). In these groups, there were compared parameters such as lipid panel, Atherogenic Index (AIP), Triglyceride-glucose (TyG) index, Castelli Risk Index-1 (CRI-I), Castelli Risk Index-2 (CRI-II), and Atherogenic Coefficient (AC), which are associated with the risk of cardiovascular disease. Methods: The participants of the study were from the HC group and schizophrenia patients aged between 18 and 65 who were followed up at the Psychiatry Clinic of Karaman Hospital. This cross-sectional case-control study consists of the SCH-N (n:20), the SCH-R (n:23), and the HC (n:21) groups. Those with cardiovascular, endocrine, and inflammatory diseases, those with alcohol and substance addiction, those using drugs other than psychiatric drugs, and those lacking informed consent were excluded from the study. Patients in active psychotic episodes were also excluded from the study due to communication difficulties. All data were analyzed using SPSS 25.0 package program in a computer environment. The conformity of continuous data to normal distribution was evaluated with normality test value, q-q plot, skewness, and kurtosis. For significant results in the ANOVA test, pairwise comparisons were conducted using the post hoc Bonferroni correction when variances were homogeneously distributed. Similarly, for significant results in the Kruskal-Wallis Test, pairwise comparisons were performed using the Dunn-Bonferroni test. In this study, values less than p < 0.05 were considered statistically significant. Results: When all groups were compared, the increase in the TGs, TyG index, AIP, CRI-I, CRI-II, and AC values in the SCH-R group compared to the HC group was found to be statistically significant (p < 0.001, p < 0.001, p < 0.001, p < 0.001, p = 0.015, p < 0.001; sequentially). Conclusions: This study revealed that cardiovascular risk markers in schizophrenia patients showed significant differences. In particular, the elevation in parameters such as TGs, TyG index, AIP, CRI-I, CRI-II, and AC indicates that schizophrenia patients have an increased risk for cardiovascular diseases. Therefore, it is recommended that schizophrenia patients be closely monitored for cardiovascular risk factors and to intervene early.Öğe Kinect-based anthropometric measurements: a comparative analysis of traditional methods in youth female weightlifters(Bmc, 2025) Örücü, Serkan; Işık, Bülent; Erdağı, Kenan; Osmanoğlu, Usame Ömer; Özbay, ErkanBackgroundThe importance of anthropometric measurements for monitoring the physical development of athletes and optimizing training programs is well known. Considering the limitations of traditional methods in terms of accuracy and consistency, the aim of this study is to investigate the potential of Kinect V2 as an alternative.MethodsThis study wasperformed on 12 youth female weightlifters who won medals in the Youth European Weightlifting Championship. Humerus length, forearm length, hand length, trochanter-tibiale laterale length, tibial length and shoulder width measurements were performed with both Kinect V2 and manual methods. Statistical differences between groups were evaluated using the Mann-Whitney U test. The consistencies of the measurement methods were analyzed with Bland-Altman plots, correlations were determined with Pearson correlation coefficients, and reliability were evaluated with Intraclass Correlation Coefficient (ICC) values.ResultsKinect V2 provided accuracy and consistency comparable to manual methods in measurements of humerus (ICC = 0.532), forearm (ICC = 0.600), and hand length (ICC = 0.760). While medium-level concordance was observed in trochanter-tibiale lateral length measurements (ICC = 0.749), high-level concordance and reliability were found in tibial length (ICC = 0.914) and shoulder width (ICC = 0.869) measurements.ConclusionsThere were significant differences between the results of humerus length, forearm length and trochanter-tibiale laterale length obtained with both measurement methods. Therefore, measurements of these parameters require significant care. Findings of this study suggest that Kinect V2 can be a reliable tool for rapid and practical anthropometric assessments in sports settings, but highlight the importance of careful calibration and adjustments for specific measurements. Future studies should examine the use of this device more comprehensively across different sports and populations.Öğe Struggling to exist between ethics and cronyism: the dilemma of unappointed doctoral graduate academics(Springer, 2025) Aytar, Oğuzhan; Çil, UmutThe active involvement and inclusion of young scholars within established higher education systems are crucial for cultivating dynamism, fostering innovation, and ensuring the long-term sustainability of educational institutions. However, while some academic communities effectively harness the potential of young scholars, optimizing the benefits of their contributions, others fail to do so, leading to underutilized potential. This disparity warrants extensive research and examination. Cronyism, defined as the preferential treatment of certain groups through informal networks, undermines meritocracy and creates systemic inequalities in academic appointments and promotions. In T & uuml;rkiye, this issue is particularly significant due to the centralized structure of higher education and the influence of political and personal networks on academic decision-making.This research investigates the correlation between specific academic challenges such as limited access to resources, lack of mentorship, and inequitable opportunities, and the occurrence of cronyism, as well as explores the connection between cronyism and the career stagnation, job dissatisfaction, and psychological stress experienced by young academics. A qualitative research method was employed, and data were collected through interviews with 10 participants who were not appointed despite their success. The findings suggest that governmental interference in university administrations and policies threatens academic integrity and the protection of academic principles. Specifically, the study highlights that political appointments, biased funding allocation, restrictions on academic freedom, curricular interventions, and the manipulation of admission processes undermine academic integrity and principles. This study emphasizes the urgent need for transparent, merit-based appointment systems to address the detrimental effects of cronyism and foster a culture of academic ethics and fairness.Öğe The influence of the national culture on the association between school leadership and teacher commitment: a systematic review and meta-analysis(Turkish Educational Admin Research, 2025) Selvitopu, Abdullah; Kaya, Metin; Aydin, Ahmet TaylanThe present study was an attempt to examine the influence of national culture on the association between school leadership and teacher commitment. We systematically reviewed the literature on school leadership and teacher commitment, then followed a meta-analytic process by combining the data from the included studies and finally conducted meta-regression procedures to identify the main cultural predictors of the association between the two variables using Hofstede's (2011) theoretical model of cultural dimensions. Our findings suggest that there is a moderate positive relationship between school leadership and teacher commitment, that certain leadership styles are important in this relationship, and that power distance and individualism have negative influences on this association. Masculinity, uncertainty avoidance, long-term orientation and indulgence dimensions do not influence the association between school leadership and teacher commitment. We discussed the research findings and proposed recommendations for future research.Öğe Examining scholar-level publishing performance across bibliometric databases by cluster analysis(2025) Pişirgen, Ali; Öztünç, Fatih; Peker, SerhatPurposeThe purpose of this paper is to investigate the publishing characteristics of scholars across three popular bibliographic databases, namely, Google Scholar, Web of Science and Scopus, that allow the publication output and impact of scholars to be evaluated from a data-centric perspective.Design/methodology/approachA cluster analysis was conducted on the bibliometric and demographic data of 4,054 scholars, sampled from 23 academic division in seven Turkish universities. Among various clustering algorithms, this study applies Ward's hierarchical clustering method to group scholars based on the publication characteristics. Moreover, this paper conducted cross-analyses on their academic divisions and titles to provide a more comprehensive evaluation of their scholarly performance.FindingsThe cluster analysis resulted in four distinct groups of scholars having different publication and citation patterns across three major databases. The results indicate that for all clusters, there is a decline in scholars' publication performance as this paper move from the Google Scholar database to the Scopus and Web of Science databases. The study results indicate that highly productive and influential scholars are affiliated with Medicine, Natural Sciences and Engineering, while less productive scholars are affiliated with Humanities, Educational Sciences and Administrative, Political and Applied Sciences.Originality/valueThis study contributes to prior literature by exploring and profiling the individual scholar's publication performances in prominent bibliographic databases. It is also precious that the findings of this study offer useful information on scholarly publication characteristics in major databases and can be valuable for policymakers and scholars.Öğe Modeling, prediction, and optimization of pump system efficiency: A comparative study of machine learning methods and response surface method(SAGE Publications Ltd, 2025) Orhan, Nuri; Kaya, EnderThis study explores the interrelationship between pump performance, system efficiency, and noise/vibration levels by analyzing the influence of pump frequency and outlet pressure. System efficiency predictions were conducted utilizing both the Response Surface Method (RSM) and advanced machine learning algorithms, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), and XGBoost. The comparative analysis revealed that ANN provided the highest prediction accuracy with an R2 value of 0.946, Root Mean Square Error (RMSE) of 1.2% and Mean Absolute Percentage Error (MAPE) of 2.32%. However, when predicting system efficiency using external data inputs, RSM outperformed other models, achieving an R2 value of 0.96 and a mean error rate of 3.84%. Optimization via RSM was performed for target flow rates of 35, 40, and 45 m3 h−1, with the optimal flow rate determined at 35 m3 h−1, corresponding to a system efficiency of 42%. To validate these optimization results, experimental tests were conducted, revealing a flow rate of 35.4 m3 h−1 and system efficiency of 42.95%, with error margins of 1.12% and 2.21%, respectively. The study demonstrates that RSM is a robust and effective tool for optimizing pump system performance, offering practical applications in improving energy efficiency and operational stability in pumping facilities. © IMechE 2025.Öğe A hemicyanine-based dual-responsive fluorescent sensor for the detection of lithium and cyanide ions: application in living cells(Springer Science and Business Media Deutschland GmbH, 2025) Aydın, Ziya; Keskinateş, Mukaddes; Armağan, Esra; Altınok, Bahar Yılmaz; Bayrakçı, MevlütA hemicyanine-based colorimetric and fluorometric sensor, 2-(2-(2,3,5,6,8,9-hexahydrobenzo[b][1,4,7,10]tetraoxacyclododecin-12-yl)vinyl)-3,3-dimethyl-1-propyl-3H-indol-1-ium iodide (MH-5), was developed and synthesized to detect Li+ and CN− ions in DMSO-PBS buffer solution (10 mM, pH 7.25, v/v 1:9). MH-5 displayed a rapid and highly selective colorimetric response to both Li+ and CN−, indicated by a distinct color change from pink to pale pink in the presence of Li+ and to colorless upon CN− detection, without interference from other cations or anions. The interaction mechanisms of MH-5 with Li+ and CN− ions were investigated using various analytical techniques, including 1H NMR, ESI–MS, FT-IR spectroscopy, and Job’s plot analysis. These studies suggest that CN− is detected through nucleophilic addition to the indolium moiety of MH-5, while Li+ detection occurs via coordination with oxygen atoms in the crown ether structure. The fluorescence-based detection limits for Li+ and CN− were determined to be 0.150 µM and 0.154 µM, respectively. Additionally, MH-5 was evaluated in living cells, demonstrating effective cell penetration and reliable detection of Li+ and CN− ions for potential bio-imaging applications. © The Author(s) 2025.Öğe Psychological counsellors’ mental well-being and resilience levels predicting their trauma ıntervention skills(Turkish Psychological Counseling and Guidance Association, 2025) Eki̇nci, Nezir; Tokkaş, Bilge GülThe purpose of this study is to examine the relationship between psychological counselors' mental well-being and resilience levels and their trauma intervention skills. The study group consisted of 191 psychological counselors, 135 females and 56 males, who agreed to participate in the study. Data were collected through the Psychological Counsellors' Trauma Intervention Skills Scale, the Warwick-Edinburgh Mental Well-Being Scale, the Brief Resilience Scale, and the Personal Information Form prepared by the researchers. Data analysis was performed using the independent sample t-test, one-way analysis of variance (ANOVA), Pearson correlation analysis, and multiple linear regression analysis. Analysis results indicated a significant relationship between psychological counselors' trauma intervention skills levels and their mental well-being and resilience levels. In addition, psychological counselors’ mental well-being and resilience levels were found to explain 34% of the total variance of trauma intervention skills levels. © 2025, The Authors.Öğe İnvestigation of the stacking sequence and cutting parameters effect on hole morphology in hybrid fml composites(Elsevier Ltd, 2025) Doğan, Mehmet Akif; Yapıcı Ahmet; Gemi, Lokman; Yazman, Şakir; Morkavuk, Sezer; Köklü, UğurFiber metal laminates (FMLs) are widely used in a wide range of engineering applications, especially in the aerospace industry, due to their superior functional properties and low cost. In this experimental study, hybrid FML composite specimens consisting of five different Al2024/FRP/Al2024 stacked glass and carbon fiber layers were fabricated to investigate the effect of stacking sequences and cutting parameters on the drilling process. The drilling machinability properties of the specimens were investigated by considering the cutting force, torque, surface roughness and damage analyses in the hole after drilling and the results are presented comparatively. As a result of the experimental study, it was determined that the stacking sequences have a significant effect on the machinability. In terms of cutting forces, it was observed that the cutting force increased in carbon stacked areas and the cutting forces tended to decrease in glass stacks. In torque values, there is an increase in glass stacks and a decrease in carbon stacks. The highest roughness values were measured from all-glass stacked specimens. In hybrid composites, it was observed that glass stacks generally increased the surface roughness. © 2025 Elsevier LtdÖğe Flexible perovskite solar cells: a revolutionary approach for wearable electronics and sensors(Elsevier Ltd, 2025) Aftab, Sikandar; Koyyada, Ganesh; Ali, Zeeshan; Assiri, Mohammed A.; Kim, Jae Hong; Rubab, Najaf; Akman, ErdiFlexible perovskite solar cells (F-PSCs) and flexible perovskite modules (F-PSMs) are explored in detail in this extensive review article, with a particular emphasis on their revolutionary potential to transform solar energy solutions for wearable electronics and sensors. As an alternative to traditional solar technologies, F-PSCs offer unmatched promise thanks to their attributes, which include high efficiency, flexibility, stability, and durability. This comprehensive review assesses the scalability and manufacturability of F-PSCs by delving into their structural complexities, operational principles, and recent advances in materials and fabrication techniques. The operational principles and structural details of F-PSCs are explained, along with updates on materials and fabrication technology developments. This paper examines the emerging uses of F-PSCs in wearable electronics and sensors, highlighting their advantages over conventional silicon-based solar cells and their lightweight design that allows for compatibility with flexible substrates. The difficulties and potential paths for improving the stability and efficiency of F-PSCs are also discussed, highlighting the critical role that these devices play in the development of wearable electronics and renewable energy technologies. © 2025 Elsevier Ltd
