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Bibliometric analysis of the results of Reiki research
No full textIntroduction: This study analyses bibliometric indicators to assess global research trends on Reiki, including publication patterns and key contributing countries. Methods: The publications included in Web of Science (WOS) databases between 1970 and 2024 were reviewed. The WOS database was searched using TS= “REIKI” and all WOS indexes were included. This search identified 414 studies. Among them, letters (n = 7), editorial materials (n = 19), book reviews (n = 9), corrections (n = 2), art and poetry (n = 1), news (n = 1), and retracted publications (n = 1) were removed. The remaining 374 articles were included in this bibliometric analysis. The R-package for bibliometric analysis (Bibliometrix) was used. Results: The bibliometric analysis found that researchers published Reiki-related studies between 1983 and 2024, with a publication growth rate of 4.47 %. On average, articles were 9.5 years old and received 13 citations per document. The total number of keywords identified by the authors was 553, the number of authors in the articles was 1124 authors, the number of single-author articles was 70, the average number of publications per author was 3.5, and international co-authorships were 7.219 %. The USA, Brazil, the United Kingdom, Canada, and Turkiye were the top five countries that published on Reiki, respectively. The USA, Canada, the United Kingdom, Australia, and Turkiye were the top five countries with the most cited articles, respectively. Vitale A. is the most cited author. Journal of Alternative and Complementary Medicine is the most cited journal. Conclusion: This study is the first of its kind to evaluate the articles written by researchers in the field of Reiki only. Despite the difficulties researchers experienced in the field of Reiki, the studies have increasingly been conducted in this field over the years and have been cited studies more. This study may be helpful for researchers to determine productive countries, journals, authors, and emerging trends in Reiki by providing comprehensive analyses and structured information on this subject. © 202
[Gümüşhane’de Yaşayan İnsanların Sel Risk Algısı]
No full textFlood hazard may causes fear, panic, anxiety and depression in people. In addition, people may constantly worry that they, their families, friends and material assets will be damaged due to the flood and that the flood will not be managed. The objective of this study is to investigate the flood risk perception of people living in Gümüşhane city center. In this cross-sectional study, data were collected from individuals aged 18 and over in May and June 2023 using the Flood Risk Perception Scale, which consists of two factors: affective and cognitive flood risk perception. A total of 404 participants participated in the study, 207 of whom were female and 234 of whom were between the ages of 18 and 30. Confirmatory factor analysis, independent sample t-test and ANOVA analysis were used to analyze the data. The results indicated that the participants are most concerned that the flood poses a great financial danger and that the flood may cause great destruction. The affective and cognitive flood risk perception of women is higher than the affective and cognitive flood risk perception of men. Participants who think that they cannot protect themselves and help others in case of floods have higher risk perceptions in both factors. Both affective and cognitive flood risk perceptions of the participants who stated that their place of residence was not safe against flooding were the highest. Training should be organized in Gümüşhane so that people can protect themselves and help others in case of floods. It is expected that this study will contribute significantly to the Turkish literature and that the results of the research will give an idea to the managers and scientists working in the field of flood risk perception. © 2025, Ankara University. All rights reserved
Petrochemistry and geochronology of Middle Eocene high-K calc-alkaline I-type Kazıkbeli pluton, NE Turkey: implications from zircon U-Pb ages and Sr-Nd-Pb-Lu-Hf isotope data
No full textThe Kazıkbeli pluton, located in the Kürtün (Gümüşhane) region of the Eastern Pontides, NE Turkey, was studied by employing zircon U-Pb geochronology, whole-rock geochemistry, Sr-Nd-Pb and zircon Lu-Hf isotope geochemistry. LA-ICP-MS U-Pb zircon dating revealed that the gabbroic diorite and granodiorite components of the pluton solidified during the Lutetian epoch of the Middle Eocene, at approximately 46.10 ± 0.26 Ma and 45.37 ± 0.29 Ma, respectively. The pluton is composed of calc-alkaline rocks, ranging from gabbroic diorite to granite (SiO2 = 55.3 to 72.4 wt%). These I-type rocks are typically metaluminous but exhibit peraluminous tendencies in some cases. They are enriched in large ion lithophile elements and display concave chondrite-normalized rare earth element patterns (LaN/YbN = 4.39 to 6.67) with negative Eu anomalies (EuN/Eu* = 0.45 to 0.80). The initial εNd values ranged from 1.85 to 2.24, and the initial 87Sr/86Sr(i) ratios ranged from 0.70458 to 0.70484, consistent with a mantle source in the isotope ratio diagram. The initial 206Pb/204Pb(i), 207Pb/204Pb(i), and 208Pb/204Pb(i) ratios ranged from 18.505 to 18.571, 15.595 to 15.601, and 38.560 to 38.590, respectively. They have positive εHf(i) values (5.75 to 8.03), located between depleted mantle and chondrite evolution values. Fractional crystallization of plagioclase, hornblende, and Fe-Ti oxide minerals played a significant role in the magma evolution, while assimilation and magma mixing may have had a minor influence. Collectively, the evidence suggests that the primary magma source for these plutonic rocks was an enriched lithospheric mantle. Subsequent differentiation within crustal magma chambers, with limited crustal contamination, shaped the final magmatic evolution. © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2024
Investigation of new mixtures based on natural rubber and nitrile-butadiene rubber for high damping base isolation systems
No full textHigh damping rubber isolators (HDRBs), which are popular in base isolation systems, extend the natural vibration periods of structures and increase the energy dissipation capacity of the systems. Thus, they can protect structures from damage that may occur in earthquakes. The difference between HDRBs and other elastomer bearings is the chemical formulation of the rubber used. The aim of this study is to prepare a new rubber mixture that is resistant to seismic loads and has good damping properties for HDRBs. In this direction, rubber mixtures were prepared with three different formulations. The mixture of ingredients used in this study is Natural Rubber (NR), Nitrile Butadiene Rubber (NBR), Carbon Black (CB), process oil, Zinc Oxide (ZnO), Stearic Acid (StA), coumaron resin, protective agent, sulfur and accelerators. Quadruple shear block specimens were produced with elastomers produced with mixtures. Dynamic tests were performed on these samples. Elastomer earthquake isolation bearings with a damping ratio of 6% or greater are classified as ‘highly damped’. In this study, values greater than 10% were obtained for damping ratio values at 100% shear stresses. Experimental and numerical analyses revealed that the damping values of the compounds developed with NBR-based formulations are at an acceptable level for highly damped isolators. In general, it was observed that the damping properties increased from 6% to 12%. Therefore, it is thought that the developed HDRB compounds can be used as elastomers in the construction of seismic isolators with high damping properties. © The Author(s) 2025
Investigation of the impact of instagram access restriction on individuals' psychological well-being, social and cultural perceptions, and adaptation strategies
No full textThis study comprehensively examines the psychological impacts of the Instagram access ban implemented in Turkey between August 2, 2024, and August 10, 2024, how these impacts are reflected in social consequences and cultural perceptions, and also assesses the adaptation strategies that individuals develop in response to the ban. Data were collected from 80 participants residing in Erzurum through online surveys and analyzed using MAXQDA 24 software. The findings suggest that the access ban had various psychological effects, with some participants experiencing changes in their social relationships and difficulties in accessing information. The impacts on social bonds and solidarity varied among participants, with some cases showing intensified social interactions. In terms of cultural perceptions, changes were observed in individuals' views on freedom and expression rights. The study provides important insights into how social media access bans can influence individual perceptions and social structures, suggesting that these findings could contribute to shaping social media policies. © 2025 by author(s)
Screening of Chemical Profile by LC-MS/MS and Assessment of Biological Properties of Achillea sintenisii Hub. Mor. From Turkey
No full textThe aim of this study was to determine the secondary metabolites of the n-hexane, ethyl acetate, methanol, and water extracts of Achillea sintenisii Hub. Mor. and to ascertain their divergent biological properties. LC-MS/MS analysis was performed to identify the bioactive compounds. The anticancer properties of the samples were tested against human breast (MCF-7 and MDA-MB-453) and colon (HT-29) cancer cell lines by XTT assay. The anti-Alzheimer's studies were performed using Ellman's assay. The antimicrobial studies were carried out by Kirby-Bauer disc diffusion method. The antioxidative potential of the samples was evaluated on the basis of 2,2-diphenyl-1-picrylhydrazyl scavenging and ferric reducing antioxidant power assays, LC-MS/MS analysis revealed 27 phytochemicals, including high concentrations of quinic acid, gentisic acid, chlorogenic acid, luteolin, cynaroside, and caffeic acid. Ethyl acetate extract exhibited the most potent cytoxicity against MDA-MB-453 cells, with an IC50 value of 83.05 µg/mL. All extracts showed stronger inhibitory activity against acetylcholinesterase and butyrylcholinesterase compared to tacrine. The n-hexane, ethyl acetate, and methanol extracts exhibited considerable antimicrobial activity against Enterococcus faecalis, approaching the level of vancomycin. Methanol extract possessed the highest DPPH scavenging and ferric reducing antioxidant power. These findings render A, sintenisii a promising source for the pharmaceutical, cosmetic, and food industries.4001227
Supervised classification-based framework for rock mass discontinuity identification using point cloud data
No full textMapping and evaluating rock mass discontinuities using point clouds is a critical task in mining, civil, and geological engineering. Rock discontinuities can significantly impact the integrity, strength, and stability of rock masses. The orientation of these discontinuities is also a key characteristic of the rock mass. Accurate orientation estimation from point clouds enables more precise predictions of rock mass behavior, leading to improved safety, more efficient excavation processes, reduced operational costs, and significant time savings. In this context, a supervised classification-based framework is proposed for calculating orientation parameters from point cloud. Supervised classification plays a crucial role in tasks where a model learns complex patterns from labeled data to accurately predict previously unseen instances. The proposed method consists of eight-steps, including: data collection, pre-processing (data filtering), adaptive neighborhood size selection (omnivariance-based), feature extraction (geometric features), feature selection (Minimum Redundancy Maximum Relevance method), classification (Support Vector Machine), clustering (connected component labeling), and plane fitting to calculate orientation parameters (dip angle and dip direction). The framework was applied to two real-world datasets and one synthetic dataset, which was tested in two different subsampled forms (random and uniform subsampling). The results statistically demonstrated that the technique was effective in detecting and characterizing rock mass discontinuities with high Accuracy, Recall, Precision, and F-Score values ranging from 94.64% to 99.57%. The deviations of the method in the measurements of the dip angle and the dip direction, compared to the manual measurements, range from 1% to 4%, indicating strong agreement with the manual measurements and the existing studies. © 202
A new mathematical model for cellular manufacturing system with productivity consideration
No full textIn today’s environment of escalating competition, companies are adapting their management and production strategies, and product diversity is rapidly increasing. Companies require cellular manufacturing systems to produce products with high diversity in a short amount of time, ensuring the desired quality and meeting customer expectations. Cellular manufacturing systems, which have a more flexible structure compared to traditional production systems, are a good and effective solution for man-agers. Cellular manufacturing is an approach that aims to produce products with varying diversity in the shortest possible time and at the lowest cost, targeting an increase in efficiency. In this study, a cell manufacturing system proposal is made and cell formation is carried out to increase efficiency and effectiveness in a company that manufactures industrial refrigeration cabinets. A productivity-based 0-1 integer mathematical programming model is prepared that facilitates the simultaneous grouping of part and machine families in cell formation. In addition to the intracellular and intercellular transportation costs found in productivity-based models in the literature, labor costs, maintenance costs, the depreciation costs of the machines used in the cells, and the waiting costs of the machines are also added to the prepared model. The model is solved with the help of the GAMS 23.5.1 software package, creating part families and machine groups. Group efficiency values are measured, and the current and proposed situations are compared. © 2025 by the authors; licensee Growing Science, Canada
Convergence on Kirk Iteration of Cesàro Means for Asymptotically Nonexpansive Mappings
No full textThis article addresses the convergence of iteration sequences in Cesàro means for asymptotically nonexpansive mappings. Specifically, this study explores the behavior of Kirk iteration in the Cesàro means in the context of uniformly convex and reflexive Banach spaces equipped with uniformly Gâteaux differentiable norms. The focus is to determine the conditions under which the Kirk iteration sequence converges strongly or weakly to a fixed point. Finally, some examples are given in this article to demonstrate the advantages of the preferred iteration method and to verify the results obtained. © 2025 by the authors
Advanced brain tumor analysis: a novel strategy for segmentation and classification using modern computational methods
No full textDespite their low incidence, brain tumors are one of the most invasive cancer types, constituting a significant burden of death and disease in all age groups. Early and accurate diagnosis of brain tumors plays a vital role in reducing mortality rates. The heterogeneous nature of brain tumors and the diversity of tumor lesions may make it difficult for radiologists to make the right decision in the manual diagnosis process. This study proposes the use of machine learning methods for the classification of brain tumors (pituitary, meningioma, and glioma) and the use of metaheuristic algorithms graph theory, and random walker algorithms in the segmentation of brain tumors. The classification performed with the proposed method obtained an overall accuracy rate of 98.33%. In addition, the classification accuracy of 99.50%, 99.50%, 98.67%, and 99.00% was achieved for no tumor, pituitary, meningioma, and glioma, respectively. Experiments in the segmentation process show that metaheuristic algorithms and max-flow graph cut approach produce successful results. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024