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Tunceli, Turkey

Tunceli University is a university located in Tunceli, Turkey. It was established in 2008. Wikipedia.


Mukemre M.,Yuzuncu Yil University | Behcet L.,Bingol University | Cakilciolu U.,Tunceli University
Journal of Ethnopharmacology | Year: 2015

Ethnopharmacological relevance This paper provides significant ethnobotanical information on medicinal plants in the villages of Çatak in the Eastern Anatolia Region. Recording such data calls for urgency. This is the first ethnobotanical study in which statistical calculations about plants are carried out by means of FIC method in Eastern (Van) part of Turkey. Aim of the study This study aims to identify the wild plants collected for medicinal purposes by locals of Çatak which is located in the Eastern Anatolia Region of Turkey, and to identify the uses and local names of these wild plants. Materials and methods A field study had been carried out for a period of approximately 2 years (2010-2012). During this period, 78 plants taxa were collected. Demographic characteristics of participants, names of the local plants, their utilized parts and preparation methods were investigated and recorded. The plant taxa were collected within the scope of the study; and herbarium materials were prepared. In addition, the relative significance value of the taxa was determined, and informant consensus factor (FIC) was calculated for the medicinal plants included in the study. Results We have found out in the literature review of the plants included in our study that 78 plant taxa are already used for medicinal purposes while 19 plants are not available among the records in the literature. The most common families are Asteraceae, Apiaceae, Lamiaceae, Rosaceae, Euphorbiaceae, Fabaceae, and Malvaceae. We include in our study and report for the first time the medicinal uses of Alchemilla buseriana Rothm.; Astragalus longifolius Lam.; Cephalaria microcephala Boiss.; Euphorbia grisophylla M.S. Khan, Fritillaria crassifolia Boiss. & Huet. subsp. kurdica (Boiss. & Noe) Rix, Fritillaria pinardii Boiss.; Malabaila lasiocarpa Boiss.; Nepeta betonicifolia C.A. Mey.; Onobrychis altissima Grossh.; Onobrychis carduchorum C.C. Townsend, Papaver bracteatum Lindl.; Phlomis tuberosa L.; Psephellus karduchorum (Boiss.) Wagenitz, Scutellaria orientalis L. subsp. pichleri (Stapf.) Edmondson, Stachys kurdica Boiss. & Hohen var. kurdica, Tanacetum kotschyi (Boiss.) Grierson, Tanacetum zahlbruckneri (Nâb.) Grierson, Turanecio eriospermus (DC.) Hamzaoʇlu, Verbascum pyramidatum M.Bieb. Names of local plants in Turkey vary especially due to vernaculars. The plants that the locals of Çatak use are called with the same or different local names in various parts of Anatolia. Conclusion We found out that locals living in the research area use for therapeutic purpose 78 plants taxa which belong to 22 families. Turkish citizens with different ethnic backgrounds took the questionnaire. These people use these wild plants in treatment of several diseases. Comparison of the data obtained in this study with the experimental data obtained in the previous laboratory studies on the wild plants which grow in Çatak proved ethnobotanical usages to a great extent. Literature review indicated that the therapeutic plants that grow in Çatak are used in different parts of the world for the treatment of similar diseases. © 2015 Elsevier Ireland Ltd.


Ozkaynak F.,Tunceli University | Ozer A.B.,Firat University
Physics Letters, Section A: General, Atomic and Solid State Physics | Year: 2010

It is important to design cryptographically strong S-Boxes in order to design secure systems. In this study, a strong, chaos-based S-Box design is proposed. Continuous-time Lorenz system is chosen as the chaotic system. Proposed methodology is analyzed and tested for the following criteria: Bijective property, nonlinearity, strict avalanche criterion, output bits independence criterion and equiprobable input/output XOR distribution. The results of the analysis show that the proposed cryptosystem is a highly reliable system suitable for secure communication. © 2010 Elsevier B.V.


Kaval I.,Yuzuncu Yil University | Behcet L.,Bingol University | Cakilcioglu U.,Tunceli University
Journal of Ethnopharmacology | Year: 2014

Ethnopharmacological relevance This paper provides significant ethnobotanical information on medicinal plants in the Geçitli Township in the Eastern Anatolia Region. Recording such data calls for urgency this is the first ethnobotanical study in which statistical calculations about plants are carried out by means of the FIC method in Eastern (Hakkari) part of Turkey. Aim of the study This study aims to identify the wild plants collected for medicinal purposes by locals of Geçitli which is located in the Eastern Anatolia Region of Turkey, and to identify the uses and local names of these wild plants. Materials and methods A field study had been carried out for a period of approximately 2 years (2008-2010). During this period, 70 plants taxa and one mushroom were collected. Demographic characteristics of participants, names of the local plants, their utilized parts and preparation methods were investigated and recorded. The plant taxa were collected within the scope of the study; and herbarium materials were prepared. In addition, the relative significance value of the taxa was determined, and informant consensus factor (FIC) was calculated for the medicinal plants included in the study. Results We have found out in the literature review of the plants included in our study that 70 plant taxa and one mushroom are already used for medicinal purposes while 11 plants are not available among the records in the literature. The most common families are Asteraceae, Apiaceae, Lamiaceae, Rosaceae, Euphorbiaceae, Fabaceae, and Malvaceae. We include in our study and report for the first time the medicinal uses of Alchemilla hessii Rothm., Cirsium pubigerum (Desf.) DC. var. spinosum Pet., Diplotaenia cachrydifolia Boiss., Euphorbia macrocarpa Boiss. & Buhse, Galium consanguineum Boiss., Inula helenium L. subsp. vanensis Grierson, Johrenia dichotoma DC. subsp. sintenisii Bornm., Pelargonium quercetorum Agnew, Rosa heckeliana Tratt. subsp. vanheurckiana (Crěp.) Ö. Nilsson, Salix aegyptiaca L., Taraxacum montanum (C.A. Mey.) DC. Names of local plants in Turkey vary especially due to vernaculars. The plants that the locals of Geçitli use are called with the same or different local names in various parts of Anatolia. Conclusion We found out that locals living in the research area use for therapeutic purpose 70 plants taxa and one mushroom which belong to 28 families. Turkish citizens with different ethnic backgrounds took the questionnaire. These people use these wild plants in treatment of several diseases. Comparison of the data obtained in this study with the experimental data obtained in the previous laboratory studies on the wild plants which grow in Geçitli proved ethnobotanical usages to a great extent. Literature review indicated that the therapeutic plants that grow in Geçitli are used in different parts of the world for the treatment of similar diseases. © 2014 Elsevier Ireland Ltd. All rights reserved.


Alatas B.,Tunceli University
Expert Systems with Applications | Year: 2012

When investigated carefully, chemical reactions possess efficient objects, states, process, and events that can be designed as a computational method en bloc. In this study, a novel computational method, which is robust and have less parameters than that of used in the literature, is intended to be developed inspiring from types and occurring of chemical reactions. The proposed method is named as artificial chemical reaction optimization algorithm, ACROA. In this study, one of the first applications of this method has been performed in classification rule discovery field of data mining and efficiency has been demonstrated. © 2012 Elsevier Ltd. All rights reserved.


Eristi H.,Tunceli University
Measurement: Journal of the International Measurement Confederation | Year: 2013

This paper proposes a new fault diagnosis approach based on combined wavelet transform and adaptive neuro-fuzzy inference system for fault section identification, classification and location in a series compensated transmission line. It performs an effective feature extraction approach based on norm entropy in order to obtain the features represented main frequency, harmonic and transient characteristics of the fault signals. The proposed method uses the samples of fault voltages and currents for one cycle duration from the inception of fault. The feasibility of the proposed method has been tested on a 400 kV, 300 km series compensated transmission line for all the ten types of faults using MATLAB/Simulink for a large data set of 23,436 fault cases comprising of all the 10 types of faults. Fault signals varying with fault resistance, fault inception angle, fault distance, load angle, percentage compensation level and source impedance are applied to the proposed algorithm. The results also indicate that the proposed method is robust to wide variation in system conditions and has higher fault diagnosis accuracy with regard to the other approaches in the literature for this problem. © 2012 Elsevier Ltd. All rights reserved.

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