Comparison of Antioxidant Activities of Juice, Peel, and Seed of Pomegranate (Punica granatum L.) and Inter-relationships with Total Phenolic, Tannin, Anthocyanin, and Flavonoid Contents

Hakime Hulya Orak,Hulya Yagar,Sebnem Selen Isbilir 한국식품과학회 2012 Food Science and Biotechnology Vol.21 No.2

In this study, the antioxidant activities of juice,peel, and seed parts of pomegranate were investigated by using DPPH scavenging activity, β-carotene bleaching method, reducing power, and metal chelating activity. Sample of pomegranates which are named Punica granatum L. cv. Hicaznar, genotype 19-121, genotype 17-67, and genotype 19-66 obtained from BATEM (West Mediterranean Agricultural Research Institute) in Anlalya. The EC50values of DPPH scavenging activities in peel extracts (PE)had 23.4-fold higher than the juice extracts (JE), and the seed extracts (SE) had 2.3-fold higher than JE. The reducing power in peel extracts was found to be 4.7-fold higher than SE and 10.5-fold higher than the JE. The highest metal chelating capacity (37.22%) was determined in peel, while the lowest (7.151%) in seed. Generally, in peel, the total polyphenol, flavonoid, tannin contents, and in juice, the total polyphenol, anthocyanin, tannin contents,and acidity significantly affected to antioxidant activities.

Evaluation of Antioxidant and Antimicrobial Potential of Strawberry Tree (Arbutus Unedo L.) Leaf

Hakime Hülya Orak,Hülya Yagar,Sebnem Selen Isbilir,Ahmet Şükrü Demirci,Tuncay Gümüş,Neslihan Ekinci 한국식품과학회 2011 Food Science and Biotechnology Vol.20 No.5

In present study, antioxidant and antimicrobial activities of strawberry tree (Arbutus unedo L.) leaves were investigated. Antioxidant activity was determined by methods of DPPH scavenging, β-carotene bleaching,reducing power, metal chelating, superoxide anion scavenging, and hydrogen peroxide scavenging activity. Total phenolic content were determined to be 197.16±1.43mg GAE/g extract in aqueous extract. The EC_50 value of methanolic extracts was found to be 0.423 mg/mL. The extracts of leaves showed nearly 1/4 metal chelating capacity of standard EDTA, high reducing power,superoxide anion scavenging, and hydrogen peroxide scavenging activities. While the strawberry tree leaves exhibited antibacterial activity against Staphylococcus aureus, there was no inhibitory effect against Escherichia coli and Salmonella enteritidis. The strawberry tree leaves exhibited antifungal effect against 2 aflatoxigenic molds namely Aspergillus parasiticus NRRL 2999 and NRRL 465. These results suggest that the strawberry tree leaves may be used as an antioxidant source for pharmaceutical application, nutraceutical and functional food industries.

Determination of Antioxidant Properties of Lyophilized Olive Leaf Water Extracts Obtained from 21 Different Cultivars

Hakime Hulya Orak,Sebnem Selen Isbilir,Hulya Yagar 한국식품과학회 2012 Food Science and Biotechnology Vol.21 No.4

The objective of this study was to compare the antioxidant activities of lyophilized olive leaf water extracts (OLWExtracts) from 21 different olive tree cultivars. The highest total phenolic content (102.69±1.63 μg GAE/mg extract) was found in cultivar ‘Esek Zeytini’ and the lowest content (78.52±2.18 μg GAE/mg extract) was in ‘Uslu’. The highest total flavonoid content (12.47±0.12 μg QE/mg extract) obtained from ‘Frantoio’. According to EC50values, ‘Domat’ have the highest DPPH scavenging activity (EC50 =59 μg/mL), reducing power (EC50 =180 μg/mL),and superoxide radical scavenging capacity (EC50=44 μg/mL). While, ‘Ascolana’ showed the highest metal chelating capacity (EC50=163 μg/mL), ‘Memecik’ showed the highest hydrogen peroxide (H2O2) scavenging capacity. Research results exhibited that OLWExtracts are comparable to synthetic antioxidants. The correlation study showed that while total phenolic content correlated with DPPH scavenging activity and reducing power (p<0.01), total flavonoid content correlated with metal chelating and superoxide radical scavenging capacity (p<0.05).

Nonparametric confidence intervals for quantiles based on a modified ranked set sampling

Morabbi, Hakime,Razmkhah, Mostafa,Ahmadi, Jafar The Korean Statistical Society 2016 Communications for statistical applications and me Vol.23 No.2

A new sampling method is introduced based on the idea of a ranked set sampling scheme in which taken samples in each set are dependent on previous ones. Some theoretical results are presented and distribution-free confidence intervals are derived for the quantiles of any continuous population. It is shown numerically that the proposed sampling scheme may lead to 95% confidence intervals (especially for extreme quantiles) that cannot be found based on the ordinary ranked set sampling scheme presented by Chen (2000) and Balakrishnan and Li (2006). Optimality aspects of this scheme are investigated for both coverage probability and minimum expected length criteria. A real data set is also used to illustrate the proposed procedure. Conclusions are eventually stated.

Dietary Habits Contributing to the Cancer Prevention Among Health College Students in Turkey

Nogay, Nalan Hakime,Akinci, Ayse Cil,Sert, Havva,Kurtulus, Zeynep,Gedik, Selda Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.3

This descriptive study was made to evaluate the dietary habits contributing to cancer prevention of 319 health college students. Data collection form included questions about demographic characteristics and 33 statements which evaluate dietary habits contributing to cancer prevention. Among the students, 56.1% consumed fast food outside the home/dormitory twice a week or more and 47% never exercised. Moreover, 63.9% of the students reported that their dietary habits changed negatively and 69% stated that their fruit and vegetable consumption decreased after starting the health college. The students mostly paid attention to preserving food and water consumption while they paid least attention to maintaining healthy weight and whole grain consumption. Female students, those who paid attention to the amount and calorie of the food they consumed, students who did not consume fast food, and students who exercised twice a week or three times a week had better dietary habits contributing to cancer prevention (p<0.05). According to these results we recommend that interventions which will reduce fast food consumption and increase fruit and vegetable consumption and exercising in university students should be implemented. For this purpose, appropriate conditions for preparing and preserving healthy food should be provided as well as increasing the frequency of vegetable containing meals and providing fruits and salads in every meal at school cafeterias.

Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANNs) for structural damage identification

Hakim, S.J.S.,Razak, H. Abdul Techno-Press 2013 Structural Engineering and Mechanics, An Int'l Jou Vol.45 No.6

In this paper, adaptive neuro-fuzzy inference system (ANFIS) and artificial neural networks (ANNs) techniques are developed and applied to identify damage in a model steel girder bridge using dynamic parameters. The required data in the form of natural frequencies are obtained from experimental modal analysis. A comparative study is made using the ANNs and ANFIS techniques and results showed that both ANFIS and ANN present good predictions. However the proposed ANFIS architecture using hybrid learning algorithm was found to perform better than the multilayer feedforward ANN which learns using the backpropagation algorithm. This paper also highlights the concept of ANNs and ANFIS followed by the detail presentation of the experimental modal analysis for natural frequencies extraction.

ANN Modeling of a Gas Sensor

Hakim BAHA,DIBI Zohir 대한전기학회 2010 Journal of Electrical Engineering & Technology Vol.5 No.3

At present, Metal Oxide gas Sensors (MOXs) are widely used in gas detection because of its advantages, including high sensitivity and low cost. However, MOX presents well-known problems, including lack of selectivity and environment effect, which has motivated studies on different measurement strategies and signal-processing algorithms. In this paper, we present an artificial neural network (ANN) that models an MOX sensor (TGS822) used in a dynamic environment. This model takes into account dependence in relative humidity and in gas nature. Using MATLAB interface in the design phase and optimization, the proposed model is implemented as a component in an electronic simulator library and accurately expressed the nonlinear character of the response and that its dependence on temperature and relative humidity were higher than gas nature.

Efficient smoothed particle hydrodynamics method for the analysis of planar structures undergoing geometric nonlinearities

Hakim Naceur,Jun Lin,Daniel Coutellier,Abdel Laksimi 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.5

In the present investigation, a new modified smoothed particle hydrodynamics (SPH) method particularly adapted for the analysis ofplanar structures undergoing geometric nonlinearities is introduced and discussed. The problem of inconsistency which is often encounteredin the classical SPH method is alleviated by introducing modifications of the kernel function and its derivatives using an explicitpolynomial feature representation based on the Taylor series expansion. Tensile instabilities arising in the Eulerian-based SPH formulationwhich appear due to large deformations are attenuated by the introduction of a total Lagrangian formulation which is robust for largedisplacements/rotations. The resulting nonlinear problem is solved using the explicit dynamics time integration scheme. The validity ofthe proposed approach is demonstrated through two numerical applications involving geometrical nonlinearities, where the obtainedresults are compared to those obtained using the standard finite element method.

A Review on Remote Sensing and GIS Applications to Monitor Natural Disasters in Indonesia

Hakim, Wahyu Luqmanul,Lee, Chang-Wook The Korean Society of Remote Sensing 2020 大韓遠隔探査學會誌 Vol.36 No.6

Indonesia is more prone to natural disasters due to its geological condition under the three main plates, making Indonesia experience frequent seismic activity, causing earthquakes, volcanic eruption, and tsunami. Those disasters could lead to other disasters such as landslides, floods, land subsidence, and coastal inundation. Monitoring those disasters could be essential to predict and prevent damage to the environment. We reviewed the application of remote sensing and Geographic Information System (GIS) for detecting natural disasters in the case of Indonesia, based on 43 articles. The remote sensing and GIS method will be focused on InSAR techniques, image classification, and susceptibility mapping. InSAR method has been used to monitor natural disasters affecting the deformation of the earth's surface in Indonesia, such as earthquakes, volcanic activity, and land subsidence. Monitoring landslides in Indonesia using InSAR techniques has not been found in many studies; hence it is crucial to monitor the unstable slope that leads to a landslide. Image classification techniques have been used to monitor pre-and post-natural disasters in Indonesia, such as earthquakes, tsunami, forest fires, and volcano eruptions. It has a lack of studies about the classification of flood damage in Indonesia. However, flood mapping was found in susceptibility maps, as many studies about the landslide susceptibility map in Indonesia have been conducted. However, a land subsidence susceptibility map was the one subject to be studied more to decrease land subsidence damage, considering many reported cases found about land subsidence frequently occur in several cities in Indonesia.

The Indonesian Version of the Exercise Self-Efficacy Scale: Cross-cultural Adaptation and Psychometric Testing

Hakim Arif R.,Wang Shan-Tair,Widiantoro Fransiskus X.,Hannan Mujib,Wang Chi-Jane,Fetzer Suzan J. 한국간호과학회 2020 Asian Nursing Research Vol.14 No.5

Purposes: The study aimed to translate the Exercise Self-Efficacy Scale (ESES) into Indonesian and test the cultural equivalence, reliability, and validity of the new version for university students. Methods: The cross-sectional study recruited 379 Indonesian university students using convenience sampling. Phase 1, a culturally appropriate version of the ESES was developed in the Indonesian language. Phase 2, the psychometric properties were determined through exploratory factor analysis, bootstrap factor analysis, and confirmatory factor analysis. The internal consistency reliability was tested using Cronbach's a, whereas the stability using intraclass correlation coefficient to assess. Results: The students' ages ranged from 17 to 39 years, and 65.0% were women. For translation equivalence, the mean item content validity indexes ranged from 3.5 to 4, and all items were understandable. The 16-item scale exhibited cross-cultural appropriateness and readability, with a three-factor model explaining 62.3% of the variance in exercise self-efficacy. A bootstrap analysis using 100 resamples further confirmed the three-factor model. The indices of the good-fit model that used the three-factor by two-stage least squares method were satisfactory, with c2/df ¼ 3.3, goodness of fit index = .88, and root mean-square error of approximation = .05 (p < .001). The Cronbach's a was .78, .80, and .92 for factors 1, 2, and 3, respectively. The test–retest reliability was demonstrated with an intraclass correlation coefficient of .91, indicating adequate measurement stability. Conclusion: The 16-item ESES-I has acceptable validity and reliability; however, a broader application of the scale requires further testing in different populations to confirm its external validity.