Manisa Celal Bayar Üniversitesi Akademik Arşiv Sistemi
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A STUDY FOR BORONIZING PROCESS WITHIN NONEXTENSIVE THERMOSTATISTICS
No full textIn this study, diffusion mechanism of the boronizing process of AISI 1040 has been investigated. A nonlinear diffusion equation, which was proposed earlier, has been employed and compared with the experimental data. An interesting property of the diffusion equation used here is that it establishes a connection between the diffusion process and nonextensivity. The theoretical model also exhibits a possible connection between the exponents appeared in the differential equation and the entropic index. In this manner, the possible effects of nonextensivity on the boronizing process have been shown theoretically. We believe that a diffusion equation based on the nonextensive formalism is first applied to the boronizing process in literature
Simulated annealing based simulation optimization method for solving integrated berth allocation and quay crane scheduling problems
No full textThis paper proposes a simulation optimization based solution approach for the integrated Berth Allocation and Quay Crane Scheduling Problems (BAP and QCSP) considering simultaneously, for the first time, multi-quay hybrid berth layout, dynamic arrivals of vessels, stochastic handling times and non-crossing constraints of quay cranes. Initially, a Conflict-Free Quay Crane Scheduling Algorithm is proposed considering stochastic handling times. Then, a general parametric simulation model which represents the seaside operations of a typical container terminal is built. Finally, a Simulated Annealing based optimization procedure is integrated with this parametric simulation model to minimize the latest vessel departure time (i.e., makespan). The proposed simulation optimization procedure is applied to a real world inspired case problem. The results revealed that the proposed simulation optimization procedure can be used to solve large-sized real-port BAPs and QCSPs for the objective of minimizing makespan. Furthermore, the output of this simulation optimization procedure gives the decision maker the estimated berthing/unberthing times, berthing locations and quay crane schedules for each vessel for the most probable scenario
Usage of whey protein may cause liver damage via inflammatory and apoptotic responses
No full textThe purpose of this study was to investigate the long- and short-term inflammatory and apoptotic effects of whey protein on the livers of non-exercising rats. Thirty rats were divided into three groups namely (1) control group, (2) short-term whey (WS) protein diet (252 g/kg for 5 days), and (3) long-term whey (WL) protein diet (252 g/kg for 4 weeks). Interleukin 1 (IL-1), IL-6, tumor necrosis factor (TNF-), and cytokeratin 18 (CK-18-M30) were assessed using enzyme-linked immunosorbent assay and immunohistochemical methods. Apoptosis was evaluated using the terminal transferase-mediated deoxyuridine triphosphate nick-end labeling (TUNEL) method. Hepatotoxicity was evaluated by quanitation of serum aspartate aminotransferase (AST) and alanine aminotransferase (ALT). Based on the biochemical levels and immunohistochemical results, the highest level of IL-1 was identified in the WL group (p < 0.01). The IL-6 and TNF- results were slightly lower in the WS group than in the control group and were highest in the WL group (p < 0.01). The CK-18-M30 and TUNEL results were highest in the WS group and exhibited medium intensity in the WL group (p < 0.01). AST results were statistically significant for all groups, while our ALT groups were particularly significant between the WL and control groups (p < 0.01). The results showed that when whey protein is used in an uninformed manner and without exercising, adverse effects on the liver may occur by increasing the apoptotic signal in the short term and increasing inflammatory markers and hepatotoxicity in the long term
A numerical method for solving systems of higher order linear functional differential equations
No full textFunctional differential equations have importance in many areas of science such as mathematical physics. These systems are difficult to solve analytically. In this paper we consider the systems of linear functional differential equations [1-9] including the term y(alpha x + beta) and advance-delay in derivatives of y. To obtain the approximate solutions of those systems, we present a matrix-collocation method by using Muntz-Legendre polynomials and the collocation points. For this purpose, to obtain the approximate solutions of those systems, we present a matrix-collocation method by using Muntz-Legendre polynomials and the collocation points. This method transform the problem into a system of linear algebraic equations. The solutions of last system determine unknown co-efficients of original problem. Also, an error estimation technique is presented and the approximate solutions are improved by using it. The program of method is written in Matlab and the approximate solutions can be obtained easily. Also some examples are given to illustrate the validity of the method
Sleep actigraphy evidence of improved sleep after treatment of allergic rhinitis
No full textBackground: Children with allergic rhinitis (AR) are reported to have disturbed sleep and daytime fatigue due to nasal obstruction. Objective: To evaluate sleep impairment in children with AR using actigraphic evaluation. Methods: Fourteen children aged 7 to 16 years with grass pollen-sensitized seasonal AR were enrolled. They completed the Total 4-Symptom Score (T4SS) scoring system for AR symptom score and the Pittsburgh Sleep Quality Index (PSQI) questionnaire for sleep quality, and they underwent actigraphy for 3 days in the pretreatment period. After topical corticosteroid and antihistaminic treatment for 8 weeks, actigraphy, the T4SS, and the PSQI were repeated. Fourteen healthy children aged 8 to 16 years underwent actigraphy and completed the PSQI questionnaire as controls. Results: There were no significant age or sex differences between the AR and control groups. Pretreatment PSQI and actigraphy scores were worse in the AR group vs the control group. After treatment, sleep quality improved, and there were no differences in actigraphy and PSQI scores between the 2 groups. Before treatment, the T4SS was significantly correlated with the sleep efficiency, daytime napping episodes, and total nap duration variables of actigraphy (r = -0.53, P = .004; r = 0.43, P = .02; and r = 0.39, P = .04, respectively). The T4SS was correlated with the total PSQI score (r = 0.67, P < .001). Conclusions: Sleep can be compromised in children with AR. There is a significant correlation of clinical symptom score with the actigraphic and PSQI variables. Therefore, actigraphy may be used as an objective tool to evaluate sleep disturbance in children with AR. Ann Allergy Asthma Immunol. 2009; 103:290-294
Iodine content in breast milk samples in the Aegean region in Turkey
No full textIn this study, the iodine content in breast milk was measured by Sandell-Kolthoff's method. The milk was obtained from 40 healthy mothers, aged 20 to 37, from the pediatric division of Ege University hospital. All mothers were from Aegean region of Turkey. Comparisons were made with commercial milk samples. Destruction of organic matter by using alkaline ash method was carried out prior to determination by Sandell-Kolthoff reaction based on iodine's catalytic effect on the Ce(IV)-As(III) system. The iodine concentration ranges were within 19.1 and 94.2 mu g/kg in breast milk samples. Results obtained in this study clearly showed that breast milk samples did not have iodine deficiency which can lead to goiter and iodine concentrations of market milk were at sufficient level in the Aegean region of Turkey
Contribution of open mouth technique in F-18 FDG PET/CT imaging of patients with malignant lip neoplasm
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Evaluation of prognostic factors in localized high-grade undifferentiated pleomorphic sarcoma: report of a multi-institutional experience of Anatolian Society of Medical Oncology
No full textMost data on prognostic factors for patients with high-grade undifferentiated pleomorphic sarcoma (HGUPS) is obtained from analyses of soft tissue sarcomas. The purpose of this study was to evaluate the clinicopathologic features and their impact on outcomes specifically in patients diagnosed with HGUPS. In this multicenter trial, we retrospectively analyzed 112 patients who were diagnosed and treated at 12 different institutions in Turkey. We collected data concerning the patients, tumor characteristics, and treatment modalities. There were 69 males (61.6 %) and 43 females (38.4 %). Median age was 56 years (19-90). The most common anatomic site of tumor origin was the upper extremity. Pleomorphic variant was the predominant histological subtype. Median tumor size was 8.2 cm (0.6-30 cm). Tumors were mainly deeply seated (57.1 %). Fifty-seven patients (50.9 %) were stage II and the remainder were stage III at the time of diagnosis. Median follow-up was 30 months (2-160). The primary site of distant metastasis was the lung (73.5 %) and the second most common site was the liver (11.7 %). The 5-year overall survival, distant metastasis-free survival, and local recurrence-free survival rates were 56.3, 53.4, and 67.2 %, respectively. Multivariate analysis showed that Eastern Cooperative Oncology Group (ECOG) performance score of II (p = 0.033), deep tumor location (p = 0.000), and development of distant metastasis (p = 0.004) were negatively correlated with overall survival, and perioperative radiotherapy and negative microscopic margins were significant factors for local control rates (p = 0.000 for each). Deep tumor location (p = 0.003) was the only adverse factor related to distant metastasis-free survival. Deep tumor location, ECOG performance score of II, and development of distant metastasis carry a poor prognostic implication on overall survival. These will aid clinicians in predicting survival and treatment decision
Grey wolf optimizer integrated within boosting algorithm: Application in mechanical properties prediction of ultra high-performance concrete including carbon nanotubes
No full textNowadays, the construction industry has increasingly recognized the superior performance characteristics of ultra high-performance concrete (UHPC). Known for its exceptional durability and high tensile strength, UHPC material is revolutionizing structure standards subjected to extreme environmental conditions and heavy loads. This paper explores the enhancement of UHPC with nano- and micromaterials, employing advanced machine-learning (ML) techniques to optimize the prediction of mechanical properties. Moreover, by introducing the novel extreme gradient boosting (XGBoost) improved by grey wolf optimizer (GWO) algorithm, this research represents the first integration of ML with GWO in UHPC research, significantly enhancing the accuracy of predictions for key properties such as compressive, tensile, and flexural strengths. The study investigates the impact of nanotechnology on UHPC, specifically how carbon nanotubes (CNTs) and microscale reinforcements contribute to advances in strength, durability, and resilience. These enhancements are pivotal in addressing limitations of traditional concrete, especially in high-demand construction environments. The proposed GWO-XGB model has demonstrated a remarkable ability to achieve R2 values of 98.4% and 94.8% for UHPC with nanomaterial and micromaterial, respectively, indicating very high level of accuracy in predicting mechanical properties. This model also had one of the lowest error values, demonstrating its precision and ability to minimize prediction errors. This approach significantly facilitates the testing and development of UHPC by automating the accurate determination of its mechanical properties, thereby reducing the reliance on costly and time-consuming experimental methods. Highlighting the transformative potential of combining ML with engineering science, this study offers promising avenues for innovations in construction practices. © 2025 Elsevier Lt