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Search Results: 1 - 10 of 195 matches for " Siddik Keskin "
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Quality and Sensory Evaluation for Goat Meat Using Generalized Procrustes Analysis
Askin Kor,Siddik Keskin
Journal of Animal and Veterinary Advances , 2012, DOI: 10.3923/javaa.2011.1313.1316
Abstract: The aim of this study was to examine relationships among experts, sex, genotypes and sensory variables by Procrustes analysis. About 10 meat samples involved different genotypes and sex were evaluated by 12 expert assessors for four sensory characteristics (color, texture, taste-odor and acceptability). The attributes were assessed using a nine-point (9: extremely enjoy, 1: extremely dislike) scale. The first two dimension of the analysis accounted for 63.19 and 21.11% of the consensus variance, respectively. As a result of evaluating 12 assessors, it may be concluded that meat of Angora goat has been reflected texture, acceptability and taste-odor of sensory characteristics while that of hair goats has color.
Evaluating the Relationship Between Mature Age Milk Yield and Several Traits Using CHAID Analysis in Brown Swiss Cows
Galip Bakir,Siddik Keskin,Hamit Mirtagioglu
Journal of Animal and Veterinary Advances , 2012,
Abstract: Milk yield is important in breeding studies because it is one of the economically important traits. Therefore, determining the relationship between milk yield and some other traits could provide some important easiness in animal breeding studies. In this study, the aim was to evaluate the relationship between mature age milk yield and 9 independent variables (cow age, first mating age, lactation order, lactation period, dry period, first calving age, calving season, birth type and sex of calf) using CHAID analysis. Seven hundred and seventy Brown Swiss animals records (from 1987-1997) taken from Mus State Production Farm (in Turkey) were utilized. CHAID analysis results showed that lactation period was primary, sex of calf and cow age were secondary and first mating age and dry period were the tertiary variables affecting mature age milk yield.
Determination of the Effective Factors for 305 Days Milk Yield by Regression Tree (RT) Method
Galip Bakir,Siddik Keskin,Hamit Mirtagioglu
Journal of Animal and Veterinary Advances , 2012, DOI: 10.3923/javaa.2010.55.59
Abstract: The purpose of this study was to determine the effects of dry period, lactation parity, farm, calving season and age on 305 days milk yield using Regression Tree (RT) method. For this purpose 3315 data of 735 Holstein-Friesian raised in Ceylanpinar, Reyhanli and Tahirova State Farms were analyzed. Dry period-lactation parity and farm-calving season and calving age were determined to affect 305 days milk yield at the first, second and third degree factors, respectively. The 305 days milk yield was affected by dry period, calving age and season and being of the dry period around ideal period (60 days) affected milk yield positively. It was suggested that dry period should be around 60 days and some precautions to decrease the adverse effects of heat on milk yield are required to be taken.
Calculation of Power in Chi-Square and Likelihood Ratio Chi-Square Statistics by a Special SAS Macro
Taner Ozdemir,Siddik Keskin,Bahattin Cak
Pakistan Journal of Biological Sciences , 2006,
Abstract: The goal of this study was relatively analyzed as to power in Chi-Square and Likelihood Ratio Chi-Square Statistics by using SAS special macro which is presented in Appendix. For the aim, data sets regarding questionnaire responses of 107 refugees were utilized. Contrary to other data sets (had power values with high-level), sample size for only data set 3 having power values with low-moderate level for both statistics were artificially increased from backward to forward and optimum samples sizes for Ch-Square and other were determined as 280 and 170, respectively. As a result, it was concluded that power of Chi-Square and Likelihood Ratio Chi-Square Statistics changed to some factors: the size of sample and combinations of all cells` frequencies of contingency table. Besides, it is possible that researchers can determine sample size which is suitable for each data set by means of special SAS macro in appendix. Moreover, ones should not forget that power concept in any statistic technique means reliability.
A Path Coefficient Analysis Some Yield and Yield Components in Faba Bean (Vicia faba L.) Genotypes
Hakan Ulukan,Mustafa Guler,Siddik Keskin
Pakistan Journal of Biological Sciences , 2003,
Abstract: The present study was carried out to investigate a path coefficient with one faba bean cultivar i.e. Filiz 99 and two advanced breeding lines i.e. H1=PN 55 K.No 584-066 Reine Blance and H2=PN 54 K.No 7954 x 964-92B. Relationships between yield and yield components were determined by using a correlation and a path-coefficient analysis in 1999-2000. In the investigated characters positive and significant relationships were found statistically between grain number pod-1and pod number plant-1; between biological yield and plant height; between biological yield and grain number pod-1. Direct and indirect effects of plant height, pod length, first pod height and pod number plant-1 and grain number pod-1 upon biological yield were calculated. The total determination coefficient was found as 0.636 (63.6%) in the model which we used.
A Study of Relationships Between Milk Yield and Some Udder Traits by Using of Path Analysis in Akke?i Goats
Siddik Keskin,Askin Kor,Serhat Karaca,Hamit Mirtagio lu
Journal of Animal and Veterinary Advances , 2012,
Abstract: The aim of this study was to determine relationships between some udder traits [Undder Bottom Height (UBH), Udder Depth (UD), Udder Circumference (UC), Left Teat Circumference (LTC), Right Teat Circumference (RTC) and Teat Angle (TA)] and Daily Milk Yields (DMY) of Akke?i goats. For this purpose, data were collected from 30 goats. Correlations and path analysis were executed for identify the significant contribution of the udder traits on daily milk yields. As a result, this study indicated that these traits especialy, udder circumference and udder bottom height could be used as selection criterias for milk yields in Akke?i goats.
A Study on Power of Chi-square and G Statistics in Biology Sciences
Ecevit Eyduran,Taner Ozdemir,M. Kazim Kara,Siddik Keskin
Pakistan Journal of Biological Sciences , 2006,
Abstract: The objective of this study was to examined Chi-Square and G test statistics in place of enough sample size, contingency coefficient and power of test for different four contingency tables (data set) regarding biology sciences. Besides, this study was to determine whether sample sizes of various four samples in biology sciences were sufficient. The reliability of two statistics related to Sample size, contingency coefficient and power of test. Power analysis for Chi-Square and G test statistics were performed using a special SAS macro According to results of power analysis, sample sizes of other sets of data except the third data set were determined to be sufficient because power values for both statistics were more than 88%. With respect to power analysis, G statistics for the initial two data sets were more advantageous than other as power value of G statistics were larger than that of other. In the last data set, as sample size were 1607 and power values for both statistics were 100%, both were asymptotically equivalent each other. As power values of the third data set for Chi-Square and G test statistics were approximately 46.77 and 58.16%, respectively, sample size with 20 for both were determined to be insufficient. When we artificially increased 30 to 200 by 10, sufficient sample size for third data should be 50 so as to provide power values of 80% with respect to results of SAS special macro. As a result, this study emphasized that researchers should have taken into sample sizes and power of test account except for probability of Type Error I in contingency tables in order to determine the best one of both statistics.
Calculation of excitation function of some structural fusion material for (n,p) reactions up to 25 MeV
Tarik Siddik
Physics , 2013, DOI: 10.1007/s10894-012-9541-5
Abstract: Fusion serves an inexhaustible energy for humankind. Although there have been significant research and development studies on the inertial and magnetic fusion reactor technology, Furthermore, there are not radioactive nuclear waste problems in the fusion reactors. In this study, (n, p) reactions for some structural fusion materials such as 27Al, 51V, 52Cr, 55Mn and 56Fe have been investigated. The new calculations on the excitation functions of 27 Al(n,p) 27 Mg, 51 V(n,p) 51 Ti, 52 Cr(n,p) 52 V, 55 Mn(n,p) 55 Cr and 56 Fe(n,p) 56 Mn reactions have been carried out up to 30 MeV incident neutron energy. Statistical model calculations, based on the Hauser-Feshbach formalism, have been carried out using the TALYS-1.0 and were compared with available experimental data in the literature and with ENDF/B-VII, T=300k; JENDL-3.3, T=300k and JEFF3.1, T=300k evaluated libraries .
Study of some steller iron group fusion materials for (n,p) reactions
Tarik Siddik
Physics , 2013,
Abstract: The excitation functions for (n,p) reactions from reaction threshold to 24 MeV on some important iron (Fe) group target elements for astrophysical (n, p) reactions such as Si, Ca, Sc, Ti, Cr, Fe, Co and Ni were calculated using TALYS-1.0 nuclear model code. The new calculations on the excitation functions Of 28Si(n,p)28Al, 29Si(n, p)29Al, 42Ca(n, p)42K, 45Sc(n, p)45Ca, 46Ti(n,p)46Sc, 52Cr(n, p)52V, 53Cr(n, p)53V, 54Fe(n,p)54Mn, 57Fe(n,p)57Mn, 59Co(n, p)59Fe, 58Ni(n, p)58Co and 60Ni(n, p)60Co reactions have been carried out up to 24 MeV incident neutron energy. In these calculations, the pre-equilibrium and equilibrium effects have been investigated. Statistical model calculations, based on the Hauser-Feshbach formalism, have been carried out using the TALYS-1.0 and were compared with existing experimental data as well as with evaluated data files (Experimental Nuclear Reaction Data (EXFOR).According to these calculations, we assume that these model calculations can be applied to some heavy elements, ejected into interstellar medium by dramatic supernova events.
Growth Factor Receptors and Apoptosis Regulators: Signaling Pathways, Prognosis, Chemosensitivity and Treatment Outcomes of Breast Cancer
Siddik Sarkar,Mahitosh Mandal
Breast Cancer: Basic and Clinical Research , 2009,
Abstract: Biomarkers of breast cancer are necessary for prognosis and prediction to chemotherapy. Prognostic biomarkers provide information regarding outcome irrespective of therapy, while predictive biomarkers provide information regarding response to therapy. Candidate prognostic biomarkers for breast cancers are growth factor receptors, steroid receptors, Ki-67, cyclins, urokinase plasminogen activator, p53, p21, pro- and anti-apoptotic factors, BRCA1 and BRCA2. But currently, the predictive markers are Estrogen and Progesterone receptors responding to endocrine therapy, and HER-2 responding to herceptin. But there are numerous breast cancer cases, where tamoxifen is ineffective even after estrogen receptor positivity. This lead to search of new prognostic and predictive markers and the number of potential markers is constantly increasing due to proteomics and genomics studies. However, most biomarkers individually have poor sensitivity or specificity, or other clinical value. It can be resolved by studying various biomarkers simultaneously, which will help in better prognosis and increasing sensitivity for chemotherapeutic agents. This review is focusing on growth factor receptors, apoptosis markers, signaling cascades, and their correlation with other associated biomarkers in breast cancers. As our knowledge regarding molecular biomarkers for breast cancer increases, prognostic indices will be developed that combine the predictive power of individual molecular biomarkers with specific clinical and pathologic factors. Rigorous comparison of these existing as well as emerging markers with current treatment selection is likely to see an escalation in an era of personalized medicines to ensure the breast cancer patients receive optimal treatment. This will also solve the treatment modalities and complications related to chemotherapeutic regimens.
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