Compressive strength estimation of concrete containing zeolite and diatomite: An expert system implementation

Giyasettin Ozcan,Yilmaz Kocak,Eyyup Gulbandilar 사단법인 한국계산역학회 2018 Computers and Concrete, An International Journal Vol.21 No.1

In this study, we analyze the behavior of concrete which contains zeolite and diatomite. In order to achieve the goal, we utilize expert system methods. The utilized methods are artificial neural network and adaptive network-based fuzzy inference systems. In this respect, we exploit seven different mixes of concrete. The concrete mixes contain zeolite, diatomite, mixture of zeolite and diatomite. All seven concrete mixes are exposed to 28, 56 and 90 days\' compressive strength experiments with 63 specimens. The results of the compressive strength experiments are used as input data during the training and testing of expert system methods. In terms of artificial neural network and adaptive network-based fuzzy models, data format comprises seven input parameters, which are; the age of samples (days), amount of Portland cement, zeolite, diatomite, aggregate, water and hyper plasticizer. On the other hand, the output parameter is defined as the compressive strength of concrete. In the models, training and testing results have concluded that both expert system model yield thrilling medium to predict the compressive strength of concrete containing zeolite and diatomite.

Estimation of compressive strength of BFS and WTRP blended cement mortars with machine learning models

Giyasettin Ozcan,Yilmaz Kocak,Eyyup Gulbandilar 사단법인 한국계산역학회 2017 Computers and Concrete, An International Journal Vol.19 No.3

The aim of this study is to build Machine Learning models to evaluate the effect of blast furnace slag (BFS) and waste tire rubber powder (WTRP) on the compressive strength of cement mortars. In order to develop these models, 12 different mixes with 288 specimens of the 2, 7, 28, and 90 days compressive strength experimental results of cement mortars containing BFS, WTRP and BFS+WTRP were used in training and testing by Random Forest, Ada Boost, SVM and Bayes classifier machine learning models, which implement standard cement tests. The machine learning models were trained with 288 data that acquired from experimental results. The models had four input parameters that cover the amount of Portland cement, BFS, WTRP and sample ages. Furthermore, it had one output parameter which is compressive strength of cement mortars. Experimental observations from compressive strength tests were compared with predictions of machine learning methods. In order to do predictive experimentation, we exploit R programming language and corresponding packages. During experimentation on the dataset, Random Forest, Ada Boost and SVM models have produced notable good outputs with higher coefficients of determination of R2, RMS and MAPE. Among the machine learning algorithms, Ada Boost presented the best R2, RMS and MAPE values, which are 0.9831, 5.2425 and 0.1105, respectively. As a result, in the model, the testing results indicated that experimental data can be estimated to a notable close extent by the model.

Antimicrobial and Antioxidant Activities of Various Extracts of Verbascum antiochium Boiss. (Scrophulariaceae)

Birgul Ozcan,Miray Yilmaz,Mahmut Caliskan 한국식품영양과학회 2010 Journal of medicinal food Vol.13 No.5

Verbascum antiochium Boiss., a member of the Scrophulariaceae family, is endemic to Turkey. The extracts obtained from V. antiochium by increased polarity and direct methanol extraction were tested by the agar well diffusion method against various Gram-positive and Gram-negative bacteria and one fungus. The methanol/water extract exhibited a larger inhibition zone against both the Gram-negative and Gram-positive bacteria than the other extracts. Haemophilus influenzae was found to be the most sensitive bacterium among the bacteria tested. The antioxidant activities of the methanolic extract of V. antiochium were examined by two complementary test systems. The 50% inhibition activity of the methanolic extract of V. antiochium against the free radical 2,2-diphenyl-1-picrylhydrazyl was determined as 4.80mg/mL. In the case of the linoleic acid system, oxidation of linoleic acid was inhibited by the methanolic extract of V. antiochium with 79.92% inhibition, which is close to the value of the synthetic antioxidant reagent, tert-butylated hydroxytoluene. The total phenolic components of V. antiochium were determined to be 92.71mg of gallic acid equivalents/g. Iridoid glycosides, flavonoids and saponins were detected as the major chemical constituents in the extract.

Evaluation and Management of Antrochoanal Polyps

Huseyin Yaman, MD,Suleyman Yilmaz, MD,Elif Karali, MD,Ender Guclu, MD,Ozcan Ozturk, MD 대한이비인후과학회 2010 Clinical and Experimental Otorhinolaryngology Vol.3 No.2

Antrochoanal polyps (ACPs) are benign polypoid lesions arising from the maxillary antrum and they extend into the choana. They occur more commonly in children and young adults, and they are almost always unilateral. The etiopathogenesis of ACPs is not clear. Nasal obstruction and nasal drainage are the most common presenting symptoms. The differential diagnosis should include the causes of unilateral nasal obstruction. Nasal endoscopy and computed tomography scans are the main diagnostic techniques, and the treatment of ACPs is always surgical. Functional endoscopic sinus surgery (FESS) and powered instrumentation during FESS for complete removal of ACPs are extremely safe and effective procedures. Physicians should focus on detecting the exact origin and extent of the polyp to prevent recurrence.

Elevated Neutrophil-to-Lymphocyte Ratio in Squamous Cell Carcinoma of Larynx Compared to Benign and Precancerous Laryngeal Lesions

Kum, Rauf Oguzhan,Ozcan, Muge,Baklaci, Deniz,Kum, Nurcan Yurtsever,Yilmaz, Yavuz Fuat,Gungor, Volkan,Unal, Adnan Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.17

Background: Laryngeal carcinogenesis is a multifactorial process that has not been fully elucidated. Despite extensive research, reliable markers with diagnostic and prognostic value are still lacking. It was recently reported that an elevated preoperative neutrophil-to-lymphocyte ratio (NLR) may correlate with an increased risk of recurrence, tumor aggressiveness and poorer prognosis in various malignancies. The aim of this study was to examine whether NLR could be used as an inflammatory marker to differentiate laryngeal squamous cell carcinoma (LSCC) patients from benign laryngeal lesion (BLL) and precancerous laryngeal lesion (PLL) patients. Materials and Methods: This retrospective study was performed on 209 patients admitted to a tertiary referral center with laryngeal lesions and undergoing biopsies to establish their histopathological diagnosis. We reviewed the patient files for their clinical, histopathological and laboratory data. The patients were divided into three groups according to their histopathological findings, as BLL, PLL and LSCC groups. The patients in the PLL group were also divided into three subgroups as mild, moderate and severe dysplasia/carcinoma in situ (CIS) subgroups. The groups were compared for NLR and the other laboratory data. Results: The mean NLRs of the BLL, PLL and the LSCC groups were $2.12{\pm}0.86$, $2.32{\pm}0.68$ and $3.46{\pm}1.51$, respectively, and the difference was statistically significant (p=0.001). The mean NLRs of the patients with PLL and LSCC were significantly higher than the patients with BLL (p=0.031 and p=0.001, respectively). The mean NLRs were similar among mild dysplasia, moderate dysplasia and severe dysplasia / CIS groups (p>0.05). Conclusions: To our knowledge, this is the first study investigating NLR in BLL, PLL and LSCC. NLR is an inexpensive, reproducible and widely available blood test, and could be a useful inflammatory marker to differentiate LSCC from BLL and PLL.

Impact of increased aspartate aminotransferase to alanine aminotransferase (De Ritis) ratio in prognosis of testicular cancer

Sacit Nuri Gorgel,Yigit Akin,Esra Meltem Koc,Osman Kose,Serkan Ozcan,Yuksel Yilmaz 대한비뇨의학회 2019 Investigative and Clinical Urology Vol.60 No.3

Purpose: Imaging studies can show metastasis in testicular cancer (TCa); however, a test for risk of metastasis in TCa has not been described. The ratio of aspartate aminotransferase to alanine aminotransferase, also called the De Ritis ratio (DRR), is used for many other malignancies. We aimed to evaluate the association between preoperatively assessed DRR and prognosis in patients with TCa. Materials and Methods: One hundred twenty-eight patients with TCa were enrolled in a retrospective study between March 2007 and January 2017. Clinical, biochemical, and pathological data were recorded. Univariate and multivariate logistic regression analyses were used. The prognostic value of DRR and the threshold value were assessed by use of receiver operating characteristic curves. Significance was defined as p<0.05. Results: Mean follow-up was 37±9.7 months. There were 45 and 73 TCa patients with and without lymph node metastasis, respectively. Lung metastases and other solid organ metastases occurred in 14 and 4 patients, respectively. The optimal DRR threshold was 1.30 for both retroperitoneal lymph node involvement and metastasis. DRR was determined as an independent prognostic factor for retroperitoneal lymph node involvement and organ metastasis in univariate and multivariate analyses (p<0.001, p=0.006 and p=0.002, p=0.047, respectively). Conclusions: A preoperative DRR greater than 1.30 may be an independent risk factor for retroperitoneal lymph node involvement and organ metastases in patients with TCa.