AXSIS - Akademik ve Açık Erişim Bilgi Sistemi (Univ. KTO Karatay)
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Exploring Nuclear Structure With Multiparticle Azimuthal Correlations at the LHC
No full textDetails of the nuclear structure of 129Xe, such as the quadrupole deformation and the nuclear diffuseness, are studied by extensive measurements of anisotropic-flow-related observables in Xe–Xe collisions at a centre-of-mass energy per nucleon pair s NN =5.44 TeV with the ALICE detector at the LHC. The results are compared with those from Pb–Pb collisions at s NN =5.02 TeV for a baseline, given that the 208Pb nucleus exhibits a very weak deformation. Furthermore, comprehensive comparisons are performed with a state-of-the-art hybrid model using IP-Glasma+MUSIC+UrQMD. It is found that among various IP-Glasma+MUSIC+UrQMD calculations with different values of nuclear parameters, the one using a nuclear diffuseness parameter of a0=0.492 and a nuclear quadrupole deformation parameter of β2=0.207 provides a better description of the presented flow measurements. These studies represent the first systematic exploration of nuclear structure at TeV energies, utilizing a comprehensive set of anisotropic flow observables. The measurements serve as a critical experimental benchmark for rigorously testing the interplay between nuclear structure inputs and heavy-ion theoretical models. © 2025 The Author
Multiplicity-Dependent Jet Modification From Di-Hadron Correlations in pp Collisions at √s=13 TeV
No full textShort-range correlations between charged particles are studied via two-particle angular correlations in pp collisions at √s = 13 TeV. The correlation functions are measured as a function of the relative azimuthal angle ∆φ and the pseudorapidity separation ∆η for pairs of primary charged particles within the pseudorapidity interval |η| TT< 3 GeV/c). The per-trigger associated near-side yield increases with increasing multiplicity. Although this trend is also captured qualitatively by the considered event generators, the yield is mostly overestimated by the models in the considered kinematic range. The measurement of the shape and yield of the short-range correlation peak can help us understand the interplay between jet fragmentation and event activity, quantify the narrowing trend of the near-side peak as a function of transverse momentum and multiplicity selections in pp collisions, and search for final-state jet modification in small collision systems. © The Author(s) 2025
Exporters’ Perceptions of NTMs as Signals Reducing Information Asymmetry: A Signaling Theory Perspective on Export Commitment and Export Market Orientation
No full textPurpose – Building on insights from signaling theory, this study aims to explore whether exporters perceive non-tariff measures as signals that reduce information asymmetry, thereby helping them increase their export commitment and market orientation. Design/methodology/approach – A quantitative study was conducted to test the conceptual model. Data were gathered from 143 exporting firms through a survey and analyzed using PROCESS Macro. The research hypotheses, including direct, indirect and conditional effects, were examined through mediation, moderation and conditional mediation analyses. Findings – The findings suggest that exporters’ perception that non-tariff measures reduce information asymmetry positively affects export market orientation (β = 0.4776). Export commitment mediates the relationship between the perception that non-tariff measures reduce information asymmetry and export market orientation (Indirect effect = 0.1410). Moreover, the positive effect of firms’ export commitment on their export market orientation is further enhanced at high levels of exporters’ perception (β = 0.1074). Originality/value – This study extends signaling theory to export–import relationships by conceptualizing exporters’ perceptions of NTMs as institutional signals and linking them to export commitment and export market orientation. It broadens export commitment to encompass both managerial and employee perspectives. It also empirically tests how the perception that NTMs reduce information asymmetry moderates the export commitment–export market orientation link, showing that NTMs can function as strategic signals rather than merely restrictive measures. © 2025 Emerald Publishing Limite
Predicting Potential Salinity in River Water for Irrigation Water Purposes Using Integrative Machine Learning Models
No full textAccurate prediction of river water quality parameters is essential for environmental protection and sustainable agricultural resource management. This study presents a novel framework for estimating potential salinity in river water in arid and semi-arid regions by integrating a kernel extreme learning machine (KELM) with a boosted salp swarm algorithm based on differential evolution (KELM-BSSADE). A dataset of 336 samples, including bicarbonate, calcium, pH, total dissolved solids and sodium adsorption ratio, was collected from the Idenak station in Iran and was used for the modelling. Results demonstrated that KELM-BSSADE outperformed models such as deep random vector functional link (dRVFL), general regression neural network (GRNN), multivariate adaptive regression spline (MARS), online sequential extreme learning machine (OSELM) and extreme gradient boosting decision tree (XGBoost) when compared with observed river salinity data. Also, the KELM-BSSADE model effectively identified optimal inputs through the Boruta-XGBoost (B-XGB) feature selection method. Four metaheuristic-based KELM models were developed, utilizing grey wolf optimizer, whale optimization, slime mould algorithm and equilibrium optimizer, further illustrating the capability of KELM-BSSADE in estimating potential salinity in river water. By accurately estimating potential salinity, KELM-BSSADE can assist in optimizing irrigation practices, ensuring that agricultural demands are met while minimizing the risk of salinity-related crop damage. © 2025 John Wiley & Sons Ltd
Design of Fuzzy PID Controller With Big Bang Big Crunch Optimization Algorithm and Application to Quarter Car Suspension System
No full textThis study focuses on enhancing passenger comfort in vehicles through the design and application of an advanced active suspension control system. The primary objective was to develop a direct-action type fuzzy Proportional-Integral-Derivative (PID) controller for a quarter-car suspension model and optimize its performance using the Big Bang Big Crunch (BBBC) algorithm. The methodology includes mathematical modeling of the quarter car suspension system and comprehensive tuning of all parameters of the fuzzy PID controller, including error and error derivative scaling factors, fuzzy logic membership function parameters, and proportional, integral, and derivative gains, using the BBBC optimization technique. The system's performance was evaluated through simulations using five distinct road disturbance profiles (single bump, double bump, sinusoidal, random, and combined single bump with random road) and assessed based on Integral Square Error (ISE) and Integral Absolute Error (IAE) criteria. The simulation results consistently demonstrated that the proposed BBBC-optimized fuzzy PID controller performed better than the passive suspension system and a conventionally tuned PID controller across all tested road profiles, achieving lower ISE and IAE values indicative of superior vibration damping. The findings conclude that the BBBC optimization approach provides an effective method for tuning fuzzy PID controllers in active suspension applications, yielding improvements in ride comfort compared to traditional methods. © 2025 IEEE
Intergenerational Risk and Safety in Rural Turkey: A 5-Year Retrospective Analysis of Fatal Tractor Tragedies Involving Children Under Five
No full textThis study examines fatal tractor incidents involving children under the age of five in rural Turkey from 2018 to 2022. Focusing on incidents occurring off-highway in fields, gardens, and other agricultural settings, the research identified 109 fatal cases. Children in this age group are particularly vulnerable due to their physical immaturity, lack of supervision, and proximity to dangerous machinery. Most cases occur between May and October, peaking during afternoons when tractor use is highest. The leading causes of death include being crushed by moving or stationary tractors, falling from moving vehicles, and being trapped under tractors or their attachments. A key factor is the intergenerational transmission of risk-taking behaviors in farming, where outdated methods and cultural practices persist. The study stresses the need for preventive measures such as educating families, introducing regulatory reforms, and implementing technological safety improvements to protect children. These efforts can significantly reduce fatalities, creating a safer and more sustainable agricultural environment. The dangers faced by children in the agricultural sector are of great importance. The lack of research on this topic increases the significance of this study. This study will make a significant contribution to the literature in this field. © 2025 Informa UK Limited, trading as Taylor & Francis Group
The Impact of the Emotional Freedom Technique on Sleep Quality and Overall Quality of Life in Postmenopausal Women: A Randomized Controlled Trial
No full textManaging sleep quality in postmenopausal women is important in terms of improving quality of life. In this study the authors aimed to assess the impact of the Emotional Freedom Technique (EFT) on sleep quality and overall quality of life in postmenopausal women. Participants were randomly assigned to the intervention group (n = 29) or the control group (n = 29). Post-intervention analysis revealed increased Subjective Units of Experience Scale and Menopause-Specific Quality of Life Questionnaire scores in the intervention group. However, no significant differences were found in overall Pittsburgh Sleep Quality Index scores. Our findings suggest that a 4-week EFT intervention did not significantly enhance overall sleep quality but notably improved subjective sleep quality, sleep latency, sleep duration, sleep disturbances, daytime dysfunction, menopause-specific quality of life and emotional well-being in postmenopausal women. EFT is recommended as a nonpharmacological approach for nurses applicable to clinical and public health settings. © 2025 Taylor & Francis Group, LLC
Exploring the Anticancer Potential of Dianthus orientalis in Pancreatic Cancer: A Molecular and Cellular Study
No full textPancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies, characterized by limited therapeutic options and poor prognosis. This study investigated the anticancer effects of Dianthus orientalis extracts on pancreatic cancer cell lines (Panc-1 and BxPC-3) with a focus on apoptosis, invasion, and metastasis-related pathways. Chemical analysis using HPLC-MS/MS identified bioactive compounds (vanillic acid, syringic acid, p-coumaric acid, quercetin, hyperoxide) known for their anticancer properties. The Inhibitory Concentration 50 (IC50) value, which is half maximal inhibitory concentration of cancer cells, was determined to be 250 μg/mL at 48 h, and significantly induced apoptosis by decreasing anti-apoptotic gene expressions (Bcl-XL and Bcl-2) and increasing pro-apoptotic gene expressions (Casp3 and Bax) particularly in the Panc-1 cell line. Flow cytometric analysis revealed approximately 55% apoptosis in both cell lines. Molecular docking and dynamics analyses demonstrated strong binding affinities of quercetin and hyperoxide with important cancer-related proteins, including CHEK2 and PALB2. Gene expression analysis demonstrated the upregulation of pro-apoptotic markers like Bax and Casp3, and selective modulation of metastasis-related genes such as SNAI1, PALB2, and CHEK2. The findings highlight the potential of D. orientalis to modulate DNA repair mechanisms and epithelial-mesenchymal transition (EMT) pathways. Furthermore, network pharmacology and in silico tools corroborated its interactions with critical signaling pathways in cancer progression, including PI3K-Akt and MAPK. The study provides the first comprehensive evidence of D. orientalis's antiproliferative through apoptosis induction on pancreatic cancer cell lines, laying the groundwork for future therapeutic applications. © 2025 Elsevier Lt
Effect of Fracture Level on Optimal Kirschner Wire Configuration in Pediatric Supracondylar Humerus Fractures: A Finite Element Analysis
No full textObjectives: This study aims to evaluate the biomechanical stability of three pin configurations for transverse supracondylar humerus fractures at various levels using finite element analysis (FEA). Materials and methods: Computed tomography data from a six-year-old child were used to generate a humerus bone model. Four different fracture levels (low, transolecranon, high, and ultrahigh) and three pin fixation techniques (one lateral and one medial cross-pin [1-1M], two lateral capitellar pins [1-1C], and three lateral capitellar pins [2-1C]) were designed for the study. Translational stiffness and rotational stiffness in all directions were analyzed in the mesh models. Convergence data and stiffness data were obtained in the FEA. Results: The translational and rotational stiffness values varied across fracture levels and pin configurations. Under valgus loading, the 1-1M configuration provided the highest stability in ultrahigh fractures (3289 N/mm), while the 2-1C configuration showed superior valgus and varus stability in low and transolecranon fractures. During extension and flexion loading, the 1-1M configuration yielded the highest stiffness values for transolecranon and high fractures, while the 2-1C configuration demonstrated increased stability in low and ultrahigh fractures. For rotational loading, 1-1M produced the highest inward and outward stiffness values in low-level fractures (9175 and 11035 N·mm/degree, respectively), whereas 2-1C displayed greater rotational stiffness in ultrahigh fractures. Conclusion: This preliminary study suggests that no single pin configuration is ideal for all fracture types, and the choice should be based on the specific fracture case. © 2025 All right reserved by the Turkish Joint Diseases Foundation. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes (http://creativecommons.org/licenses/by-nc/4.0/)
Experimental Performance Analysis of Concrete-Filled Steel Column to Concrete-Filled Steel Beam Connections
No full textExisting literature and practical engineering practice have comprehensively examined the behaviour of concrete-filled steel tubular (CFST) columns, CFST beams, and their associated connection systems involving either steel or reinforced concrete (RC) beams. Despite these advancements, limited research has focused on the direct beam–column interaction in fully CFST-to-CFST connection configurations. The absence of established design specifications and systematic experimental evidence has hindered the reliable adoption of such connections in structural applications. This feasibility study addresses this knowledge gap by conducting an integrated theoretical and experimental investigation into the structural performance of moment-resisting connections between CFST columns—locally strengthened with internal stiffening plates and configured with external bolted flange connections—and CFST beams of matching geometry. To provide a meaningful benchmark, a comparable hollow steel column–steel beam connection with identical cross-sectional dimensions and bolt arrangements was also evaluated. The experimental setup involved cyclic loading tests designed to capture load–rotation behaviour, quantify flexural stiffness, and identify critical limit states governing connection performance. Detailed measurements of moment–displacement response, local deformation patterns, and strain distribution were collected to assess connection rigidity, load-transfer mechanisms, and potential vulnerability to local buckling. The resulting data allowed for direct comparison between the proposed CFST-to-CFST connection configuration and the hollow steel reference specimen, enabling a clearer understanding of the composite action and confinement effects provided by the infilled concrete. The findings contribute foundational evidence for the feasibility of those moment connections and offer preliminary insights to support future analytical modelling, design recommendations, and full-scale implementation. © 2025 by the Authors