Measurement of pion, kaon and proton production in proton–proton collisions at √s = 7 TeV

KARASU UYSAL, Ayben | ALICE Collaboration

The measurement of primary π ± , K ± , p and p production at mid-rapidity (|y| < 0.5) in proton–proton col- lisions at √s = 7 TeV performed with a large ion collider experiment at the large hadron collider (LHC) is reported. Particle identification is performed using the specific ioni- sation energy-loss and time-of-flight information, the ring- imaging Cherenkov technique and the kink-topology identifi- cation of weak decays of charged kaons. Transverse momen- tum spectra are measured from 0.1 up to 3 GeV/c for pions, from 0.2 up to 6 GeV/c for kaons and from 0.3 up to 6 GeV/c for protons. Th ...Daha fazlası

Two- and three-pion quantum statistics correlations in Pb-Pb collisions at √ s N N = 2.76 TeV at the CERN Large Hadron Collider

KARASU UYSAL, Ayben | ALICE Collaboration

Correlations induced by quantum statistics are sensitive to the spatiotemporal extent as well as dynamics of particle-emitting sources in heavy-ion collisions. In addition, such correlations can be used to search for the presence of a coherent component of pion production. Two- and three-pion correlations of same and mixed charge are measured at low relative momentum to estimate the coherent fraction of charged pions in Pb-Pb collisions at √sNN = 2.76 TeV at the CERN Large Hadron Collider with ALICE. The genuine three-pion quantum statistics correlation is found to be suppressed relative to th ...Daha fazlası

Türkiye’de Denizyolu Taşımacılığının Performansını Etkileyen Faktörlerin Ağırlıklandırılmasına Yönelik Bir Analiz

AKKAN, Muhammet Mustafa

Denizyolu taşımacılığı uluslararası ticarette en çok kullanılan taşıma modudur.Sahip olduğu özellikler sayesinde küresel pazarları birbirine bağlayan bir aktör haline gelmiştir.Denizyolu taşımacılığı, malların su taşımacılığı ağları üzerinden uluslararası taşımacılığınıüstlendiği için uluslararası ticaretin bel kemiği konumundadır. Gelinen noktada, denizyolutaşımacılığı sektörü özellikle ihracata yönelik olmak üzere bir ülkenin ekonomik sistemininönemli bir bileşeni olarak görülmektedir. Bu kapsamda denizyolu taşımacılığının performansve kapasitesinin artan bir seyir izlemesi, ülkeler için old ...Daha fazlası

Unsupervised Change Detection in Landsat Images with Atmospheric Artifacts: A Fuzzy Multiobjective Approach

YAVARIABDI, Amir | KUSETOĞULLARI, Hüseyin

A new unsupervised approach based on a hybrid wavelet transform and Fuzzy Clustering Method (FCM) with Multiobjective PMakale Swarm Optimization (MO-PSO) is proposed to obtain a binary change mask in Landsat images acquired with different atmospheric conditions. The proposed method uses the following steps: preprocessing, classification of preprocessed image, and binary masks fusion. Firstly, a photometric invariant technique is used to transform the Landsat images from RGB to HSV colour space. A hybrid wavelet transform based on Stationary (SWT) and Discrete Wavelet (DWT) Transforms is applie ...Daha fazlası

Short-Term Prediction of PM2. 5 Pollution with Deep Learning Methods

AYTURAN, Yasin Akın | AYTURAN, Zeynep Cansu | ALTUN, Hüseyin Oktay | KONGOLİ, Cezar | TUNÇEZ, Fatma Didem | DURSUN, Şükrü | ÖZTÜRK, Ali

Particulate matter (PM), classified according to aerodynamic diameter, is one of the harmful pollutants causing health damaging effects. It is considered as cancerogenic by the World Health Organization (WHO) because of the substances found in the chemical composition of PM. In this study, short-term prediction of PM2.5 pollution at 1, 2 and 3 hours was modelled using deep learning methods. Three deep learning algorithms and the combination thereof were evaluated: Long-short term memory units (LSTM), recurrent neural networks (RNN) and gated recurrent unit (GRU). Air Quality Monitoring Station ...Daha fazlası

Change Detection in Multispectral Landsat Images Using Multi-Objective Evolutionary Algorithms

YAVARIABDI, Amir

In this letter, we propose a novel method for unsupervised change detection in multitemporal multispectral Landsat images using multiobjective evolutionary algorithm (MOEA). The proposed method minimizes two different objective functions using MOEA to provide tradeoff between each other. The objective functions are used for evaluating changed and unchanged regions of the difference image separately. The difference image is obtained by using the structural similarity index measure method, which provides combination of the comparisons of luminance, contrast, and structure between two images. By ...Daha fazlası

Measurement of jet quenching with semi-inclusive hadron-jet distributions in central Pb-Pb collisions at √sNN = 2.76 TeV

KARASU UYSAL, Ayben | ALICE Collaboration

We report the measurement of a new observable of jet quenching in central Pb-Pb collisions at √sNN = 2.76 TeV, based on the semi-inclusive rate of charged jets recoiling from a high transverse momentum (high-pT) charged hadron trigger. Jets are measured using collinear-safe jet reconstruction with infrared cutoff for jet constituents of 0.15 GeV, for jet resolution parameters R = 0.2, 0.4 and 0.5. Underlying event background is corrected at the event-ensemble level, without imposing bias on the jet population. Recoil jet spectra are reported in the range 20 < pch < 100 GeV. Reference distribut ...Daha fazlası

A New Approach to Early Diagnosis of Congestive Heart Failure Disease by Using Hilbert-Huang Transform

ALLAHVERDİ, Novruz | KUTLU, Yakup | ALTAN, Gökhan

Congestive heart failure (CHF) is a degree of cardiac disease occurring as a result of the heart's inability to pump enough blood for the human body. In recent studies, coronary artery disease (CAD) is accepted as the most important cause of CHF. This study focuses on the diagnosis of both the CHF and the CAD. The Hilbert-Huang transform (HHT), which is effective on non-linear and non-stationary signals, is used to extract the features from R-R intervals obtained from the raw electrocardiogram ddata. The statistical features are extracted from instinct mode functions that are obtained applying ...Daha fazlası

Freshman Nursing Students' Perception of Their Profession: A Study of Metaphor

KOÇAK UYAROĞLU, Arzu | SELÇUK TOSUN, Alime | ÜNAL, Esra

ABSTRACT Objective: Metaphorical analysis is important in terms of evaluating the nursing profession from the perspective of nurses and understanding the profession. The study was conducted to analyze the perceptions of freshman nursing students about their profession through metaphors. Methods: This study was carried out in a qualitative design. The study was carried out with 94 students. The data that did not include any metaphor sources were eliminated and the study was concluded with the data from 61 students. The data were collected through the Personal Information Form and the semi-struc ...Daha fazlası

A New Semigroup Obtained Via Known Ones

URLU ÖZALAN, Nurten | ÇEVİK, Ahmet Sinan | GÜZEL KARPUZ, Eylem

The goal of this paper is to establish a new class of semigroups based on both Rees matrix and completely 0-simple semigroups. We further present some fundamental properties and finiteness conditions for this new semigroup structure. © 2019 World Scientific Publishing Company.

Türk Parlamento Tarihinde Çift Meclisli Yasama Sistemi Bakımından

Parlamento tarihimizde yasama organlarının işleyişi Meclis-i Ayan ve Cumhuriyet Senatosu dönemlerinde iki yapılı bir sistem şeklinde olmuştur. Devletin diğer kurumlarında olduğu gibi yasama organında da işleyiş siyasal yapıdan bağımsız kalmamıştır.İlk Anayasamız olan Kanun-i Esasi, aynı zamanda ilk parlamentomuzu da düzenlemiştir. Meclis-i Umumi adı verilen bu parlamentomuz Meclis-i Mebusan ve Meclis-i Ayan denilen iki kanattan oluşmuştur.Meclis-i Ayan, günümüzden farklı bir yasama işleyişi içinde ikinci bir meclis olarak önemli fonksiyonlar üstlenmiştir. Meclis-i Ayanın tecrübeleri, aynı zama ...Daha fazlası

Fuzzy Multi-Objective Nonlinear Programming Problems Under Various Membership Functions: A Comparative Analysis

AKARÇAY PERVİN, Özlem

Fuzzy sets have been applied to various decision-making problems when there is uncertainty in real-life problems. In decision-making problems, objective functions and constraints sometimes cannot be expressed linearly. In such cases, the problems discussed are expressed by nonlinear programming models. Fuzzy multi-objective programming models are problems containing multiple objective functions, where objective functions and/or constraints include fuzzy parameters. Membership functions are crucial to obtain optimal solution of fuzzy multi-objective programming model. In this study, a green sup ...Daha fazlası