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Institution

Gazi University

EducationAnkara, Ankara, Turkey
About: Gazi University is a(n) education organization based out in Ankara, Ankara, Turkey. It is known for research contribution in the topic(s): Population & Large Hadron Collider. The organization has 10525 authors who have published 23719 publication(s) receiving 424124 citation(s). The organization is also known as: Gazi Üniversitesi.
Papers
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Journal ArticleDOI
Georges Aad1, T. Abajyan2, Brad Abbott3, Jalal Abdallah4  +2964 moreInstitutions (200)
Abstract: A search for the Standard Model Higgs boson in proton–proton collisions with the ATLAS detector at the LHC is presented. The datasets used correspond to integrated luminosities of approximately 4.8 fb−1 collected at View the MathML source in 2011 and 5.8 fb−1 at View the MathML source in 2012. Individual searches in the channels H→ZZ(⁎)→4l, H→γγ and H→WW(⁎)→eνμν in the 8 TeV data are combined with previously published results of searches for H→ZZ(⁎), WW(⁎), View the MathML source and τ+τ− in the 7 TeV data and results from improved analyses of the H→ZZ(⁎)→4l and H→γγ channels in the 7 TeV data. Clear evidence for the production of a neutral boson with a measured mass of View the MathML source is presented. This observation, which has a significance of 5.9 standard deviations, corresponding to a background fluctuation probability of 1.7×10−9, is compatible with the production and decay of the Standard Model Higgs boson.

8,774 citations


Book
Georges Aad1, E. Abat2, Jalal Abdallah3, Jalal Abdallah4  +3029 moreInstitutions (164)
23 Feb 2020
Abstract: The ATLAS detector as installed in its experimental cavern at point 1 at CERN is described in this paper. A brief overview of the expected performance of the detector when the Large Hadron Collider begins operation is also presented.

3,110 citations


Journal ArticleDOI
TL;DR: In this study, TOPSIS method combined with intuitionistic fuzzy set is proposed to select appropriate supplier in group decision making environment and Intuitionistic fuzzy weighted averaging (IFWA) operator is utilized to aggregate individual opinions of decision makers for rating the importance of criteria and alternatives.
Abstract: Supplier selection, the process of finding the right suppliers who are able to provide the buyer with the right quality products and/or services at the right price, at the right time and in the right quantities, is one of the most critical activities for establishing an effective supply chain. On the other hand, it is a hard problem since supplier selection is typically a multi criteria group decision-making problem involving several conflicting criteria on which decision maker's knowledge is usually vague and imprecise. In this study, TOPSIS method combined with intuitionistic fuzzy set is proposed to select appropriate supplier in group decision making environment. Intuitionistic fuzzy weighted averaging (IFWA) operator is utilized to aggregate individual opinions of decision makers for rating the importance of criteria and alternatives. Finally, a numerical example for supplier selection is given to illustrate application of intuitionistic fuzzy TOPSIS method.

1,087 citations


Journal ArticleDOI
Alex Molassiotis1, Paz Fernadez-Ortega, Dorit Pud2, Gulten Ozden3  +15 moreInstitutions (11)
TL;DR: It is imperative that health professionals explore the use of CAM with their cancer patients, educate them about potentially beneficial therapies in light of the limited available evidence of effectiveness, and work towards an integrated model of health-care provision.
Abstract: Background: The aim of this study was to explore the use of complementary and alternative medicine (CAM) in cancer patients across a number of European countries. Methods: A descriptive survey design was developed. Fourteen countries participated in the study and data was collected through a descriptive questionnaire from 956 patients. Results: Data suggest that CAM is popular among cancer patients with 35.9% using some form of CAM (range among countries 14.8% to 73.1%). A heterogeneous group of 58 therapies were identified as being used. Herbal medicines and remedies were the most commonly used CAM therapies, together with homeopathy, vitamins/minerals, medicinal teas, spiritual therapies and relaxation techniques. Herbal medicine use tripled from use before diagnosis to use since diagnosis with cancer. Multivariate analysis suggested that the profile of the CAM user was that of younger people, female and with higher educational level. The source of information was mainly from friends/family and the media, while physicians and nurses played a small part in providing CAM-related information. The majority used CAM to increase the body’s ability to fight cancer or improve physical and emotional well-being, and many seemed to have benefited from using CAM (even though the benefits were not necessarily related to the initial reason for using CAM). Some 4.4% of patients, however, reported side-effects, mostly transient. Conclusions: It is imperative that health professionals explore the use of CAM with their cancer patients, educate them about potentially beneficial therapies in light of the limited available evidence of effectiveness, and work towards an integrated model of health-care provision.

935 citations


Proceedings ArticleDOI
Seref Sagiroglu1, Duygu Sinanc1Institutions (1)
20 May 2013
TL;DR: This paper presents an overview of big data's content, scope, samples, methods, advantages and challenges, and discusses privacy concern on it.
Abstract: Big data is a term for massive data sets having large, more varied and complex structure with the difficulties of storing, analyzing and visualizing for further processes or results. The process of research into massive amounts of data to reveal hidden patterns and secret correlations named as big data analytics. These useful informations for companies or organizations with the help of gaining richer and deeper insights and getting an advantage over the competition. For this reason, big data implementations need to be analyzed and executed as accurately as possible. This paper presents an overview of big data's content, scope, samples, methods, advantages and challenges and discusses privacy concern on it.

861 citations


Authors

Showing all 10525 results

NameH-indexPapersCitations
Filippo Ceradini131101682732
Joleen Pater129115882767
Domizia Orestano12898278297
Paolo Iengo12688773306
Mariagrazia Alviggi12078166683
Leonardo Merola109100353220
C. Bacci10960853687
Mithat Kaya10775349555
B. Di Micco10767953619
E. Musto10643946868
Vincenzo Canale10589345853
Fabrizio Petrucci10481542504
S. Patricelli10463351517
Sinan Kuday10367138629
F.C. Pastore10344945493
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202231
20211,759
20201,421
20191,298
20181,246
20171,457