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Ontological Security with its Widening and Deepening Boundaries: An Evaluation through a Bibliometric Analysis and Systematic Literature Review Lens
(Center for Foreign Policy and Peace Research, İhsan Doğramacı Peace Foundation, 2025) Balkan-Şahin, Sevgi; Çetiner, Özge
Using rigorous bibliometric and systematic methodologies, this article comprehensively reviews academic studies on ontological security. Based on a Web of Science (WoS) retrieved dataset of 163 articles in International Relations and Political Science journals, the article has examined issues such as keywords, authorship, citation networks, and countries through bibliometric analysis. This quantitative analysis revealing the “widening” dimension of ontological security is complemented by a qualitative overview based on a systematic literature review to highlight the “deepening” dimension of ontological security. Together with an assessment of Turkish academia’s contribution to this widening and deepening literature, the article provides a map of ontological security for future studies.
Search for new phenomena with the MT2 variable in the all-hadronic final state produced in proton-proton collisions at ?s=13TeV
(Springer, 2017) Sirunyan, A. M.; Tumasyan, A.; Johnson, A.; Adam, W.; Ambrogi, F.; Asilar, E.; The CMS Collaboration
A search for new phenomena is performed using events with jets and significant transverse momentum imbalance, as inferred through the M-T2 variable. The results are based on a sample of proton-proton collisions collected in 2016 at a center-of-mass energy of 13 TeV with the CMS detector and corresponding to an integrated luminosity of 35.9 fb(-1). No excess event yield is observed above the predicted standard model background, and the results are interpreted as exclusion limits at 95% confidence level on the masses of predicted particles in a variety of simplified models of R-parity conserving supersymmetry. Depending on the details of the model, 95% confidence level lower limits on the gluino (light-flavor squark) masses are placed up to 2025 (1550) GeV. Mass limits as high as 1070 (1175) GeV are set on the masses of top (bottom) squarks. Information is provided to enable re-interpretation of these results, including model-independent limits on the number of non-standard model events for a set of simplified, inclusive search regions.
Search for Charged Higgs Bosons Produced via Vector Boson Fusion and Decaying into a Pair of W and Z Bosons Using pp Collisions at ?s=13 TeV
(Amer Physical Soc, 2017) Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Asilar, E.; Bergauer, T.; Brandstetter, J.; The CMS Collaboration
A search for charged Higgs bosons produced via vector boson fusion and decaying into W and Z bosons using proton-proton collisions at root s = 13 TeV is presented. The data sample corresponds to an integrated luminosity of 15.2 fb(-1) collected with the CMS detector in 2015 and 2016. The event selection requires three leptons (electrons or muons), two jets with large pseudorapidity separation and high dijet mass, and missing transverse momentum. The observation agrees with the standard model prediction. Limits on the vector boson fusion production cross section times branching fraction for new charged physical states are reported as a function of mass from 200 to 2000 GeV and interpreted in the context of Higgs triplet models.
Observation of Top Quark Production in Proton-Nucleus Collisions
(Amer Physical Soc, 2017) Sirunyan, A. M.; Turnasyan, A.; Adam, W.; Arribrogi, F.; Asilar, E.; Bergauer, T.; The CMS Collaboration
The first observation of top quark production in proton-nucleus collisions is reported using proton-lead data collected by the CMS experiment at the CERN LHC at a nucleon-nucleon center-of-mass energy of root(S)(NN) = 8.16 TeV. The measurement is performed using events with exactly one isolated electron or muon candidate and at least four jets. The data sample corresponds to an integrated luminosity of 174 nb(-1). The significance of the tt signal against the background-only hypothesis is above 5 standard deviations. The measured cross section is sigma(tt) = 45 +/- 8 nb, consistent with predictions from perturbative quantum chromodynamics.
Measurement of the B± Meson Nuclear Modification Factor in Pb-Pb Collisions at ?sNN=5.02 TeV
(Amer Physical Soc, 2017) Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Asilar, E.; Bergauer, T.; Brandstetter, J.; The CMS Collaboration
The differential production cross sections of B-+/- mesons are measured via the exclusive decay channels B-+/- -> J/psi K-+/- -> mu(+)mu K--(+/-) as a function of transverse momentum in pp and Pb-Pb collisions at a center-of-mass energy root s(NN) = 5.02 TeV per nucleon pair with the CMS detector at the LHC. The pp(Pb - Pb) data set used for this analysis corresponds to an integrated luminosity of 28.0 pb(-1) (351 mu b(-1)). The measurement is performed in the B-+/- meson transverse momentum range of 7 to 50 GeV/c, in the rapidity interval vertical bar y vertical bar < 2.4. In this kinematic range, a strong suppression of the production cross section by about a factor of 2 is observed in the Pb-Pb system in comparison to the expectation from pp reference data. These results are found to be roughly compatible with theoretical calculations incorporating beauty quark diffusion and energy loss in a quark-gluon plasma.
Penalized regression via the restricted bridge estimator
(Springer, 2021) Yuzbasi, Bahadir; Arashi, Mohammad; Akdeniz, Fikri
This article is concerned with the bridge regression, which is a special family in penalized regression with penalty function Sigma(p)(j=1) |beta(j) (q) with q > 0, in a linear model with linear restrictions. The proposed restricted bridge (RBRIDGE) estimator simultaneously estimates parameters and selects important variables when a piece of prior information about parameters are available in either low-dimensional or high-dimensional case. Using local quadratic approximation, we approximate the penalty term around a local initial values vector. The RBRIDGE estimator enjoys a closed-form expression that can be solved when q > 0. Special cases of our proposal are the restricted LASSO (q = 1), restricted RIDGE (q = 2), and restricted Elastic Net (1 < q < 2) estimators. We provide some theoretical properties of the RBRIDGE estimator for the low-dimensional case, whereas the computational aspects are given for both low- and high-dimensional cases. An extensive Monte Carlo simulation study is conducted based on different prior pieces of information. The performance of the RBRIDGE estimator is compared with some competitive penalty estimators and the ORACLE. We also consider four real-data examples analysis for comparison sake. The numerical results show that the suggested RBRIDGE estimator outperforms outstandingly when the prior is true or near exact.
Bibliometric Analysis of Studies on Sustainable Waste Management
(MDPI, 2023) Yalcintas, Deniz; Oguz, Suzan; Ozelturkay, Eda Yasa; Gulmez, Murat
Environmental issues have spread around the world as a result of rapidly evolving technology, industrialization, urbanization, and population expansion. Alongside this, wastes are produced as a result of rising manufacturing activities, the use of natural resources, and brisk consumption. Thus, waste management poses a great danger to both our environment and future generations and is one of the most important environmental problems of our age. Sustainable waste management should be implemented effectively in order to protect rapidly depleted natural resources within the scope of sustainable waste management, prevent the negative effects of waste on the environment and human health, and to ensure their participation as an economic input. The aim of this study is to examine the studies on sustainable waste management between the years 2010-2021 with the visual mapping method. In this context, SSCI, SCI and ESCI indexes were selected in the Web of Science database, and a search was conducted with the concept of sustainable waste management. There were 599 publications found with the phrase sustainable waste management in the title. Later, these publications were visualized and interpreted through the VOSviewer mapping method. The most frequently used keyword in the findings was sustainable waste management. The author with the most publications was Yong Sik Ok, while the most cited author was Daniel C.W. Tsang. It was observed that the highest number of publications among the countries was in China. China was also identified as the country with the highest number of citations. The findings of the study can be graphically visualized to obtain the most relevant information to be applied in firms. Additionally, because doing a literature review requires a lot of time, it is believed that the researchers will find the findings of this study that compiles the literature useful. For policy makers can bring new perspectives about incorporating strategies in wastes and waste management.
Emotional regulation strategies and negotiation
(Sage Publications Inc, 2004) Yurtsever, G
This study examined the relationship between profit achievement and emotional regulation strategies, using Kelley's Negotiation Game to measure profit achievement. The game involves bargaining for the prices of three products. Emotional Regulation Strategies were measured by The Emotional Regulation Questionnaire. Scores were obtained from 104 lower level managers of a bank in Turkey. Their average age was 32.0 yr. (SD=3.7), (39 women and 65 men). A correlation of .65 (p<.01) was obtained between scores on profit achievement with scores on Cognitive Reappraisal strategy and -.50 (p<.01) with scores on Suppression strategy.
Institutional factors-environmental quality nexus in BRICS: a strategic pillar of governmental performance
(Routledge Journals, Taylor & Francis Ltd, 2022) Zhang, Duanmin; Ozturk, Ilhan; Ullah, Sana
A better understanding of the link between institutional factors and CO2 emissions is essential for economists and policymakers. Therefore, this study explores the dynamic impact of institutional factors on carbon emissions in BRICS economies for the period from 1996 to 2019 by using the panel NARDL approach. We found that positive shocks in corruption and law & order and government stability have a negative impact on carbon emissions in the long-run. However, the negative shocks in corruption and law & order exert a positive impact on carbon emissions, while negative shocks in government stability and political stability have a negative impact on carbon emissions in the long-run. These findings confirm the significance of institutional factors in alleviating carbon emissions in BRICS countries since institutional factors not only influence pollution emissions directly but also indirectly through foreign direct investment and economic growth. The findings recommend that there is a need to strengthen institutions to promote green growth and a healthy sustainable environment.
Shocks in agricultural productivity and CO2 emissions: new environmental challenges for China in the green economy
(Routledge Journals, Taylor & Francis Ltd, 2022) Zhou, Guangzhu; Li, Hongping; Ozturk, Ilhan; Ullah, Sana
The primary motive behind this research is to see the role of China's large agriculture sector in promoting or demoting CO2 emissions. Therefore, we applied linear and non-linear ARDL models by collecting data over the period 1971-2019 for China. The results of the linear model suggest that livestock production can help to reduce CO2 emissions both in the short and long run. In the non-linear model, the short-run estimates of livestock production are insignificant, however, in the long run, the positive shock in the livestock production helps to reduce the CO2 emissions and the negative shock is insignificant. On the other side, an increase in crop production deteriorates the environmental quality in the short run in both linear and non-linear models. In long run, the estimate of crop production in the linear model is insignificant and in the non-linear model, the estimated coefficients of both positive and negative shocks in crop production are negative implying that a positive shock reduces the CO2 emissions while the negative shock increases the CO2 emissions.
Does freight and passenger transportation industries are sustainable in BRICS countries? Evidence from advance panel estimations
(Routledge Journals, Taylor & Francis Ltd, 2022) Zhang, Huixin; Razzaq, Asif; Pelit, Irem; Irmak, Esma
Freight and passenger transportation profoundly impacts environmental degradation due to the higher fossil fuel consumption and respective emissions. Therefore, this study explores the impact of freight and passenger transportation on environmental pollution (particulate matter 2.5(PM 2.5)) in BRICS countries using annual data from 1990 to 2018. We employed various advanced econometric approaches to handle issues arising from panel data, such as the presence of unit root, cross-sectional dependency, structural break, and parameters heterogeneity. The overall results show that freight and passenger transportation significantly contribute to a higher concentration of PM 2.5; however, the impact of freight transportation is almost double that of passenger transportation. Similarly, economic growth also caused higher environmental pollution. Moreover, this study confirms the presence of the Environmental Kuznets Curve hypothesis in the long run. These results provide valuable suggestions to achieve a sustainable environment.
A study on microwave assisted drying characteristics of red pepper
(Academic Journals, 2011) Yelmen, Bekir; Ustuner, Tamer; Ustuner, Menderes
The method of drying red pepper by means of a combination of convectional oven plus microwave was investigated in this study. Red pepper was dried using hot air, microwave and a combination of microwave plus hot air. Therefore, some factors such as drying time, ratio of drying, changes in color, drying using microwave power settings above levels of energy consumption, drying by microwave power and hot air drying, only hot air drying, etc. were inspected for red pepper during relevant study. The models of Wang and Singh; Page; Improved Page; Henderson and Pabis; Newton; Logaritmical; Diffusion Approach; Verma; Exponential with Two-Terms; Simplified Fick Diffusion; Midilli; and Kucuk were compared so that moisture content for drying times of products could be determined in a given time by means of a laboratory dryer with microwave feature. The performances of aforesaid models were compared according to the determination coefficient (R-2), standard error of estimate (SEE) and residual sum of squares (RSS). It was found that the models of Midilli and Kucuk expressed the drying attitude of products better than the others.
Financial Performance Measurement of Companies in the BIST Sustainability 25 Index with LBWA and MEREC-based CRADIS Methods
(Mehmet Akif Ersoy Univ, 2024) Yilmaz Ozekenci, Sureyya
Financial performance refers to the assessment of a firm's capacity to generate profits and manage its financial assets effectively during a specific period of time. This study addresses the evaluation of financial performance of companies in the BIST Sustainability 25 Index using a hybrid MCDM method. For this investigation, nine criteria, namely, acid- test ratio, asset turnover, current ratio, debt ratio, EBITDA, net profit margin, return on equity, stock return and stock turnover are used to determine the financial performance of companies. In this study, the weight of criteria is calculated using both subjective (LBWA) and objective (MEREC) weighting approaches. After the weight of criteria is determined, the financial performance of companies is ranked using the CRADIS method. The results showed that EBITDA and Stock turnover are the most and least important criteria, respectively. According to results obtained from the CRADIS method, Ere & gbreve;li Iron-Steel, Enka construction and Ford Otosan have the highest financial performance, while Vestel, Ar & ccedil;elik and & Ccedil;imsa have the lowest financial performance in the period of 2018 and 2022. Additionally, the robustness and validity of the results are tested by various MCDM methods, namely, ARAS, COPRAS, EDAS, MABAC, MAIRCA, MARCOS, TOPSIS, CoCoSo and MAUT.
Effectiveness of the clock drawing test in differentiating various types of dementia
(Cukurova Univ, Fac Medicine, 2021) Yilmaz, Gulcan Gocmez; Ozge, Aynur; Sahin, Mekselina; Kiral, Kahraman
Purpose: The aim of this study was to investigate the effectiveness of clock-drawing test (CDT) in differentiating dementia types. Materials and Methods: 48 Alzheimer's disease (AD), 68 vascular dementia (VaD) and 13 frontotemporal dementia (FTD) patients were included in the study. Clock drawing test (CDT), mini mental state examination (MMSE) and other neurophysiological tests (back and forward numerical range, calculation test, abstraction test, word memory tests, boston naming test, word list recall and recognition tests) were applied to all patients. The scores of CDT and other neurophysiological tests were compared between the AH, VaD and FTD groups. The relationship between CDT and other neurophysiological tests was evaluated. Results: There was no significant difference in CDT between the dementia groups. MMSE and back numerical range scores were statistically significant among dementia groups. An positive correlation was found especially in AD and VaD patients when MMSE and CDT tests were used together. In addition, a positive correlation was found between CDT and boston naming test for FTD type. Conclusion: CDT is not a unique predictor to determine primary dementia type. However among the neurophysiological test batteries we used in the study, especially the combined use of MMSE and CDT and combined use of CDT with other tests have an important place in dementia differentiation.
Measurement of prompt and nonprompt J/? production in pp and pPb collisions at ?sNN=5.02 TeV
(Springer, 2017) Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Asilar, E.; Bergauer, T.; Brandstetter, J.; The CMS Collaboration
This paper reports the measurement of J/psi meson production in proton proton (pp) and proton lead (pPb) collisions at a center-of-mass energy per nucleon pair of 5.02 TeV by the CMS experiment at the LW. The data samples used in the analysis correspond to integrated luminosities of 28 ph(-1) and 35 nb(-1) for pp and pPb collisions, respectively. Prompt and nonprompt J/psi mesons, the latter produced in the decay of B hadrons, are measured in their dilution decay channels, Differential cross sections are measured in the transverse momentum range of 2 < p(T) < 30 GeV/c, and center-of-mass rapidity ranges of vertical bar y(CM)vertical bar < 2.4 (pp) and -2.87 < y(CM) < 1.93 (pPb). The nuclear modification factor, R-pPb, is measured as a function of both p(T) and y(CM). Small modifications to the J/psi cross sections are observed in pPb relative to pp collisions. The ratio of J/psi production cross sections in p-going and Pb-going directions, R-FB, studied as functions of p(T) and y(CM), shows a significant decrease for increasing transverse energy deposited at large pseudorapidities. These results, which cover a wide kinematic range, provide new insight on the role of cold nuclear matter effects on prompt and nonprompt J/psi production.
Revisiting the nexus between exchange rate, exports and economic growth: further evidence from Asia
(Routledge Journals, Taylor & Francis Ltd, 2022) Zhu, Wei; Ahmad, Fayyaz; Draz, Muhammad Umar; Ozturk, Ilhan; Rehman, Abdul
The economic growth of developing countries has been associated with their exports, and the existing research suggests that exchange rates significantly influence the exports. This study used panel data to investigate the potential nexus of gross domestic product (GDP), exports and exchange rates in Asian countries over the period of 1981-2016. The results portray that nexus between exchange rate and exports holds true for Export-led Growth (ELG) and Growth-led Exports (GLE) hypotheses. This study used the Wald test under Vector Error Correction Model (VECM) with all necessary specifications tests to identify the possible nexus of variables, and applied the fixed effects model along with control variables. The results imply that an undervalued currency enhances exports and has a significant impact on economic growth. Additionally, the results of Fully Modified Ordinary Least Squares (FMOLS) model with financial crises dummy suggested that the estimations are robust. Keeping in view the aforementioned findings, a timely and balanced policy can play a pivotal role in improving the long term nexus of exchange rates, exports and economic growth.
Assessing the Carbon Footprint of Plastic Bottle Blow Mold Based on Product Life Cycle for Managing the Mold Industry's Carbon Emission
(MDPI, 2024) Yavuzdeger, Abdurrahman; Esenboga, Burak; Tumay Ates, Kuebra; Demirdelen, Ozge; Yuksel, Mehmet
Calculating the carbon footprint (CF) holds paramount importance in today's world as it provides a tangible measure of our impact on the environment. In the corporate realm, businesses armed with CF data can optimize operations, reduce waste, and adopt greener technologies, leading to both environmental and economic benefits. In this study, carbon emissions-a significant global issue-are investigated through the lens of the ISO 14067-ISO Product Based Carbon Footprint (CF) standard, focusing on the operations of a mold company. The primary innovation lies in meticulously tracing every stage of plastic bottle blow mold production, the most prevalent product in the mold industry, from its raw material input to its final form as a mold in the factory. Subsequently, detailed calculations and analysis are conducted to quantify the carbon footprint associated with this process and its impact on the environment. The calculated CF for one ton of PBBM produced by Petka Mold Industry is presented. This study fills a critical gap in the literature by providing a holistic understanding of the carbon footprint of plastic bottle blow mold (PBBM) production, thereby offering valuable insights for managing carbon emissions and promoting sustainability within the mold industry. By integrating a life cycle product carbon footprint thinking into industrial practices, a greener, more sustainable future can be paved, mitigating the ecological footprint of the PBBM.
OPTIMIZATION APPLIED ON REGULATORY AND ECO-FINANCE NETWORKS - SURVEY AND NEW DEVELOPMENTS -
(Yokohama Publ, 2010) Weber, Gerhard-Wilhelm; Kropat, Erik; Tezel, Aysun; Belen, Selma
In this paper we survey recent advances and mathematical foundations of regulatory networks. We explain their interdisciplinary implications with special regard to Operational Research and financial sciences and introduce the so-called eco-finance networks. These networks, originally developed in the context of modeling and prediction of gene-expression patterns, have proved to provide a conceptual framework for the modeling of dynamical systems with respect to errors and uncertainty as well as the influence of certain environmental items. Given the noise-prone measurement data we extract nonlinear differential equations to describe and investigate the interactions and regulating effects between the data items of interest and the environmental items. In particular, these equations reflect data uncertainty by the use of interval arithmetics and comprise unknown parameters resulting in a wide variety of the model. For an identification of these parameters Chebychev approximation and generalized semi-infinite optimization are applied. In addition, the time-discrete counterparts of the nonlinear equations are introduced and their parametrical stability is investigated by a combinatorial algorithm which detects the region of parameter stability. We analyze the structural stability of the regulatory networks, we discuss a modeling by stochastic differential equations and explain how spline regression applied in an additive model could be integrated into our analysis. We conclude with two examples for eco-finance networks in the fields of CO2-emissions-control and portfolio Optimization for natural gas transportation systems.
Effects of some control methods on Johnson grass and yield components in tomato fiields
(Tubitak Scientific & Technological Research Council Turkey, 2023) Üstüner, Tamer; Al Sakran, Muhammad; Üstüner, Menderes
Johnson grass is one of the most dangerous and difficult to control weeds. The aim of this study was to determine the effect of different control methods on Johnson grass in tomato fields and to investigate the effect of these methods on the phenological stages and yield indicators of tomatoes. The study was carried out during the 2019 and 2020 seasons. The experiment treatments were as follows: hand hoe, mulch, preemergence herbicide pendimethalin (5 L/ha), postemergence herbicide fluazifop-P-butyl (1 L/ha), and control parcels. The number of flowers, the number of branches, and the length of the plant were determined in tomato. The yield and characteristics of the fruit were calculated and the fruits were analyzed. For Johnson grass, the time for germination, flowering, and seed maturity were determined. Plant height, fresh and dry biomass weight of weed, and rhizomes were also calculated. The results of this experiment showed that the best yield was 64.943 kg/ha in the hand hoe and the fluazifop-P-butyl treatment. The lowest density and fresh biomass of Johnson grass were detected in the fluazifop-P-butyl (217.3 stem/m2, 1009.4 g/m2) and the mulch (251.7 stem/m2, 1355.2 g/m2) treatments, respectively. The highest density and fresh biomass were detected in control parcels (448.8 stem/m2, 3239.2 g/ m2), and in the pendimethalin treatment (334.2 stem/m2, 1956.4 g/m2), respectively. The percentage of lost yield in the control parcels was 90.1%. Hand hoe was found to be the most effective control method against Johnson grass followed by fluazifop-P-butyl, mulch, and pendimethalin.
The effect of ICT on energy consumption and economic growth in South Asian economies: An empirical analysis
(Elsevier, 2021) Usman, Ahmed; Ozturk, Ilhan; Hassan, Ali; Zafar, Syeda Maria; Ullah, Sana
This study contributes to the literature by analyzing the effects of information and communication technology (ICT) on economic performance and energy consumption of selected South Asian economies i.e. Bangladesh, India, Pakistan and Sri Lanka for the period of 1990-2018. For empirical analysis, we employed the bounds testing approach of cointegration and error correction modelling. The findings of the study confirm that, in the long-run, ICT significantly and positively contributed to the economic growth of India only. Similarly, India is the only country in South Asia that has achieved energy efficiency as a result of increased use of ICT. However, energy consumption proved to be an important determinant of GDP per capita in India and Pakistan. Also, GDP per capita has a positive and significant impact on energy consumption in both India and Pakistan. These results imply that South Asian economies try to follow their regional partner, India, in increasing the role of ICT in their economies, which on one side will boost their economic growth and on the other side will help them in achieving energy efficiency. Moreover, the energy conservation policy could prove detrimental to South Asian economies.

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