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Water Pipe Smoking Among Public Versus Private University Students in Ankara, Turkey: an Online Survey
No full textBackground Water pipe smoking has become a global public health problem as its popularity increased over time, especially among youth. The objective of our study was to estimate water pipe tobacco smoking prevalence and to assess socioeconomic factors associated with ever water pipe smoking by public and private university students in Ankara, Turkey. Methods This descriptive study was based on a survey conducted among public (n=2685) and private (n=2485) university students via an online questionnaire on demographics and water pipe consumption patterns. For every student in the sample, a socioeconomic status index was calculated using principal component analysis. Binary logistic regressions for the outcome variable of ever-using water pipe yielded estimates of adjusted odds ratios (aORs) for the associated factors such as the respondent's age, gender, university type, and socioeconomic status. Results The prevalence of ever use of water pipe was 69.1% (95% CI: 67.2-70.9%) among private and 59.1% (95% CI: 57.2-60.9%) among public university students. A substantial share of ever users were current users (25.5% in private versus 21.6% in public, p=0.008). On average, private university students had higher socioeconomic status than public university students (for example, access to a car (51.7% versus 35.8%, p=0.008), financial support from family (71.5% versus 65.1%, p0.001)), also demonstrated by a higher socioeconomic status index. Being a private university student (aOR 1.57, 95% CI: 1.38-1.79), older (aORs 1.50 to 2.39, p0.001), male (aOR 2.36, 95% CI:2.06-2.70), as well as having greater financial resources, such as having access to a car (aOR 1.24, 95% CI:1.07-1.42), or having income support from family (aOR 1.32, 95% CI:1.13-1.54), were associated with ever-using water pipe. A higher SES index was significantly associated with higher odds of ever using water pipe among both private (aOR 1.13, 95% CI:1.06,1.20) and public university (aOR 1.12, 95% CI:1.06,1.19) students. Conclusions Water pipe smoking was common in both public and private universities; however, private university students had higher odds of ever using water pipe. There is an urgent need to implement evidence-based interventions, taking into account the socioeconomic status of young adults, to prevent them from water pipe smoking
İnsan Araştırmalarının Etik Boyutu; Türkiye’deki Araştırma Yönetim Süreçlerinin Değerlendirilmesi
No full textGönüllü içeren araştırmalar, en temelde girişimsel ve etkileşi
Agreement Between Visually Estimated Left Ventricular Ejection Fraction on Echocardiography and Quantitative Measurements Using Cardiac Magnetic Resonance
No full textObjective: Visual estimation of left ventricular ejection fraction (LVEF) is still used in routine clinical practice. However, most of the studies evaluating the agreement between the visually estimated LVEF (ve-LVEF) and quantitatively measured LVEF (qm-LVEF) either have not used appropriate statistical methods or gold standard imaging modality. In this study, we aimed to assess the agreement between the ve-LVEF and qm-LVEF using contemporary statistical methods and cardiac magnetic resonance imaging (CMRI). Methods: In 54 subjects who underwent 1.5-T CMRI, echocardiographic images were recorded after the CMRI procedure on the same day. Two independent observers estimated ve-LVEFs on echocardiographic records in a random and blinded fashion, and qm-LVEF was obtained by CMRI. Agreement between the ve-LVEF and qm-LVEF values and intra/ interobserver ve-LVEF estimations were assessed using intraclass correlation coefficient (ICC), Bland-Altman analysis, and kappa statistics. Results: There was a high agreement between the ve-LVEF and qm-LVEF (ICC 0.93, 95% confidence interval 0.88–0.96). Bland-Altman analysis also demonstrated a good agreement between ve-LVEF and qm-LVEF with ve-LVEF, on average, being 0.6% lower than that obtained by CMRI (mean ?0.6, limits of agreement ?10.5 and +9.3). A good agreement was also observed for LVEF categories ?35%, 36%–54%, and ?55% (unweighted kappa 0.71, linearly weighted kappa 0.76); and LVEF of 55% and ?55% (kappa 0.80). Intra/inter observer agreement was good for ve-LVEFs (ICC value 0.96 and 0.91, respectively). Conclusion: Visual approach for LVEF assessment may be used for rapid assessment of left ventricular systolic function in clinical practice, particularly in patients with good image quality
Poly(3-Hexylthiophene) Stabilized Ultrafine Nickel Oxide Nanoparticles as Superior Electrocatalyst for Oxygen Evolution Reaction: Catalyst Design Through Synergistic Combination of Pi-Conjugated Polymers and Metal-Based Nanoparticles
No full textWe report the synthesis and electrocatalytic activity of poly(3-hexylthiophene) stabilized nickel oxide nanoparticles (P3HT@NiO NPs). Employing semiconducting P3HT as a stabilizing agent produced well dispersed P3HT@NiO NPs with uniform size distribution (2.5 +/- 1.2 nm). For comparison, NiO NPs stabilized with the small molecule 3-hexylthiophene (3HT@NiO NPs) were also synthesized and characterized as reference material. The physiochemical properties of the developed hybrid P3HT@NiO were fully characterized using UV/Vis absorption spectroscopy, fluorescence spectroscopy, high resolution transmission electron microscopy (HRTEM) and X-ray photoelectron spectroscopy (XPS). The electrocatalytic activities of the developed semiconducting polymer-stabilized NPs were evaluated for the oxygen evolution reaction (OER) of water splitting. Our work reveals the electronic communication between P3HT and NiO NPs and demonstrates that P3HT@NiO NPs exhibit superior catalytic activity with an overpotential of 310 mV when compared to the reference 3HT@NiO NPs which exhibited an overpotential 560 mV. These results suggest that the heteroatom-containing pi-conjugated semiconducting polymers can be employed as electrocatalytic performance enhancing and stabilizing ligands for the synthesis of ultrafine metal-based NPs as efficient electrocatalytic platforms.Alexander von Humboldt-Stiftung; Higher Education Commision, Pakistan [20-1740/RD/10/3368, 20-1799/RD/10-5302, 5922]; Human Frontier Science Program [RGY0074/2016]; Lahore University of Management Sciences; Max-Planck-Gesellschaft; Commonwealth Scholarship Commission [PKCN-2019-181]Alexander von Humboldt-Stiftung, Grant/Award Number: Equipment Grant; Higher Education Commision, Pakistan, Grant/Award Numbers: 20-1740/R;D/10/3368, 20-1799/R;D/10-5302, 5922; Human Frontier Science Program, Grant/Award Number: RGY0074/2016; Lahore University of Management Sciences, Grant/Award Numbers: Start up, FIF; Max-Planck-Gesellschaft, Grant/Award Number: MPIP-TOBB ETU Partner Group Program; Commonwealth Scholarship Commission, Grant/Award Number: PKCN-2019-18
Fnırs Verilerinin Analizinde Güncel Yaklaşımlar: Veri Analizinde Dikkat Edilecek Konular, Ön İşleme Aşamaları. İstatistiksel Analizde Dikkat Edilecek Hususlar
No full textfNIRS çalışmalarında, deneysel veya fizyolojik sebeplerden kaynaklı gürültü veya artifaktlardan dolayı yanlış pozitif sonuçlara ulaşmak sıklıkla karşılaşılan bir durumdur. Bu sebepten dolayı elde edilen hemodinamik tepkinin çeşitli ön-işleme teknikleri ile nöronal kaynaklı olmayan tepkiden ayrılması ve bu ön işleme tekniklerinden sonra doğru istatistiksel yaklaşımları uygulamak gerekmektedir. Bu sempozyumda, fNIRS sinyallerinin analizinde güncel yaklaşımlar ve analizlerde dikkat edilecek hususlar hakkında bilgi verilecektir. Bu sempozyumda, sinyal kalitesinin tespiti için kullanılan yaklaşımlar, deneyden kaynaklabilecek artifaktlar, kalp atımı, solunum ve mayer dalgaları gibi fizyolojik gürültülerin özellikleri ve bunların yok edilmesi için uygulanacak yaklaşımlar, kafatası kaynaklı kan akışını yok etmek için kısa kanal ayırımı kullanılması ve alternatif yöntemler, hareket artifaktlarını yok etmek için kullanılacak yaklaşımlar, genel doğrusal model ve istatistiksel çıkarımlar için uygulanacak yöntemler (t-test, ANOVA) tartışılacaktır
Operation and Performance of the Atlas Semiconductor Tracker in Lhc Run 2
No full textThe semiconductor tracker (SCT) is one of the tracking systems for charged particles in the ATLAS detector. It consists of 4088 silicon strip sensor modules. During Run 2 (2015-2018) the Large Hadron Collider delivered an integrated luminosity of 156 fb(-1) to the ATLAS experiment at a centre-of-mass proton-proton collision energy of 13 TeV. The instantaneous luminosity and pile-up conditions were far in excess of those assumed in the original design of the SCT detector. Due to improvements to the data acquisition system, the SCT operated stably throughout Run 2. It was available for 99.9% of the integrated luminosity and achieved a data-quality efficiency of 99.85%. Detailed studies have been made of the leakage current in SCT modules and the evolution of the full depletion voltage, which are used to study the impact of radiation damage to the modules. 'CERN; ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW; FWF, Austria; ANAS; SSTC, Belarus; CNPq; FAPESP, Brazil; NSERC; CFI, Canada; NSFC, China; MSMT CR; MPO CR; VSC CR, Czech Republic; DNRF; DNSRC, Denmark; IN2P3-CNRS; CEA-DRF/IRFU, France; BMBF; MPG, Germany; RGC and Hong Kong SAR, China; ISF; Benoziyo Center; INFN, Italy; MEXT; JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS; MIZS, Slovenia; MICINN, Spain; Wallenberg Foundation, Sweden; SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC; DOE; NSF, United States of America; BCKDF; CANARIE; CRC, Canada; COST, ERC; ERDF; Marie Skodowska-Curie Actions, European Union; Investissements d'Avenir Labex; ANR, France; DFG; AvH Foundation, Germany - EU-ESF; Greek NSRF, Greece; BSF-NSF; GIF, Israel; Norwegian Financial Mechanism; NCN; La Caixa Banking Foundation; CERCA Programme Generalitat de Catalunya; PROMETEO; Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society; Leverhulme Trust, United Kingdom; NDGF (Denmark, Norway); KIT/GridKA (Germany); INFN-CNAF (Italy); NL-T1 (Netherlands) , PIC (Spain); ASGC (Taiwan); BNL ( U.S.A.)We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; Min-ciencias, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany; GSRI, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Is-rael; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; JINR; MES of Russia and NRC KI, Russian Federation; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada and CRC, Canada; COST, ERC, ERDF, Horizon 2020 and Marie Skodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investisse-ments d'Avenir Idex and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN and NAWA, Poland; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particu-lar from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada) , NDGF (Denmark, Norway, Swe-den) , CC-IN2P3 (France) , KIT/GridKA (Germany) , INFN-CNAF (Italy) , NL-T1 (Netherlands) , PIC (Spain) , ASGC (Taiwan) , RAL (U.K.) and BNL ( U.S.A.) , the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in ref. [47]
Cumhurbaşkanlığı Hükümet Sistemi ve Türk İdaresi Bakımından Sonuçları
No full text[No Abstract Available
A Topology Optimization Methodology With Vibration Constraint for an Aerospace Bracket Design
No full textASME 2022 International Mechanical Engineering Congress and Exposition, IMECE 2022 -- 30 October 2022 through 3 November 2022 -- 186577The most important need in the aviation industry is the realization of high-strength and lightweight designs. For this reason, topology optimization methods have become widespread recently. Besides, meeting the natural frequency requirements is one of the important design elements. However, topology optimization with stiffness maximization requires a static finite element analysis evaluation while the natural frequency calculation requires a modal analysis evaluation. Using these two different analysis procedures at the same time in the topology optimization process, on the other hand, is a challenging task. To address this challenge, a topology optimization methodology that accounts for the natural frequency constraint in a compliance minimization process is presented in this study. Since the commercial software can either minimize compliance or minimize the vibration frequency at one time, using these two different analysis procedures at the same time together stands out as an innovative aspect of this study. The applicability of the developed methodology is shown for two bracket designs; namely, the so-called GE bracket and a real-world satellite bracket with natural frequency and mass constraints. The prototypes of the designs are fabricated using the additive manufacturing technique. Copyright © 2022 by ASME.Türk Havacılık ve Uzay Sanayii, TUSASThe authors acknowledge the funding provided by Turkish Aerospace Industries for this study