485 research outputs found

    Fibonacci Hierarchies for Decision Making

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    All decisions are practically made within a chainwise social setup named a decision-making chain (DMC). This paper considers some cases of an idea (a project proposal) propagating through an organizational DMC. Survival of a proposal through successive links of the DMC depends on the relative power of those links, in addition to proposal’s intrinsic value. Then it is not impossible to reject a good proposal or to fail to reject a bad proposal, either of which may generate undesired, though not detrimental, outcomes. We consider here a simple metric to assess quality of decision-making. The notion of quality here derives from “not declining (not accepting) a project that is of high (poor) intrinsic value”. As Fibonacci series establish the mathematical basis of our proposed metric, metric is simply named a Fibonacci metric.Decision making chains; Innovation; Fairness metric; Fibonacci series

    Click to Download Data : An Event Study of Internet Access to Economic Statistics

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    This study examines the online access statistics of the Central Bank of Turkey's Electronic Data Delivery System within an event study framework. The comparisons of pre-event and post-event statistics suggest that announcements of both the policy interest rates and the consumer price data considerably affect society's data access behavior. The timing and amplitude of these effects are further studied with respect to inflation expectations and surprise content of events; yet no solid pattern was revealed.Data access, Macroeconomic data, Market efficiency, Event study

    Does Internet access to official data display any regularity: case of the Electronic Data Delivery System of the Central Bank of Turkey

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    1990s were the years of enormous growth of information exchange. Rapid development, augmented coverage and wide accessibility of Internet have been the key factors of that amazing growth. People’s access to economic and financial data was one of the major areas in which new trends and patterns of usage were observed. Owing to the elevated importance of financial information in today’s sophisticated markets, it is hypothesized that the linkage between data access patterns and economic events should display some regularity. In addition, one should be able to explain part of the irregularities. This study examines the access statistics of the Central Bank of Turkey’s Electronic Data Delivery System on these grounds. Using OLS and EGARCH models, significant evidence was obtained for the existence of regularities (i.e. calendar effects) in the data.Data access; Macroeconomic data; Return to information; Economics of information

    Click to download data: an event study of Internet access to economic statistics

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    This study examines the online access statistics of the Central Bank of Turkey’s Electronic Data Delivery System within an event study framework. The comparisons of pre-event and post-event statistics suggest that announcements of both the policy interest rates and the consumer price data considerably affect society’s data access behavior. The timing and amplitude of these effects are further studied with respect to inflation expectations and surprise content of events; yet no solid pattern was revealed.Data access; Macroeconomic data; Market efficiency; Event study

    Advances in Plasmonic Technologies for Point of Care Applications

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    Demand for accessible and affordable healthcare for infectious and chronic diseases present significant challenges for providing high-value and effective healthcare. Traditional approaches are expanding to include point-of-care (POC) diagnostics, bedside testing, and community-based approaches to respond to these challenges. Innovative solutions utilizing recent advances in mobile technologies, nanotechnology, imaging systems, and microfluidic technologies are envisioned to assist this transformation.National Institutes of Health (U.S.) (RO1 AI093282)National Institutes of Health (U.S.) (RO1 AI081534)National Institutes of Health (U.S.) (U54EB15408)National Institutes of Health (U.S.) (R21 AI087107

    Validity of Taylor's rule for Turkey: An empirical study

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    The aim of this paper is to propose an estimate of the reaction function of Turkey's monetary policy for the periods from January 2005 to January 2020. In this perspective, a VAR (Vector Autoregressive) model is set up. The VAR model was estimated using Stata software. In this study, the Taylor rule is extended by implicating the industrial production index and the monetary aggregate M2 into policy reaction function. By doing so, the Taylor rule is investigated for the Turkish economy, and the validity of the rule is tested. The results of the ADF test show for all the observed variables that the null hypothesis of a unit root is rejected. In other words, the condition of stationarity seems to be satisfied. In the short term, it seems that a change in the behavior of the variable M2 has an impact of 1% on the level of the current inflation rate as well as the current real interest rate. For the period studied, the results of the VAR modeling indicate that Taylor's rule is partly true for the short term but that it is not for the long term. The choice of the period studied seems to be the main reason for the non-cointegration between the inflation rate and the bank rediscount rate. © 2021 The Authors

    Frequency, origins and courses of anomalous coronary arteries in 607 Turkish children with tetralogy of Fallot

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    Background: The aim of this study was to investigate the incidence, origins and courses of coronary artery anomalies using a combination of angiographic and surgical methods in Turkish children with tetralogy of Fallot (ToF). Methods: Seventy-seven patients in whom coronary artery anomalies had been identified by angiography and/or at operation out of 549 ToF and 58 Fallot-type double outlet right ventricle (total 607) patients, were enrolled in the study. Results: Coronary artery anomalies were identified in 12.7% of the patients. The incidence was 12.2% (67/549) in patients with aortic overriding £ 50%, and 17.2% (10/58) with aortic overriding > 50% (p > 0.05). The incidence of anomalous coronary arteries crossing the right ventricular outflow tract (RVOT) was 7.91%. The commonest anomaly was the left anterior descending artery (LAD) or accessory LAD arising from the right coronary artery (RCA; n = 25). Other frequent anomalies were single coronary ostium (n = 21) and enlarged conal branch of RCA (n = 18). In 62.3% (48/77) of the patients with a coronary anomaly, the anomalous vessels were crossing the RVOT. The ratio of crossing the RVOT was 92.0% for LAD arising from the RCA, 66.7% for conal branch, and 42.9% for single coronary ostium. Conclusions: Two thirds of the anomalous coronary arteries were crossing the RVOT, and had surgical importance. The most frequent coronary artery anomaly that crossed the RVOT was the LAD or the accessory LAD arising from the RCA. Also, an enlarged conus artery should be considered as an anomaly because of its surgical importance, given its high rate of crossing the RVOT. (Cardiol J 2011; 18, 5: 546–551

    Base station cooperation in multiple input multiple output orthogonal frequency division multiple access systems

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    Ankara : The Department of Electrical and Electronics Engineering and the Institute of Engineering and Sciences of Bilkent University, 2009.Thesis (Master's) -- Bilkent University, 2009.Includes bibliographical references leaves 60-62.Newly emerging advancements such as multiple input multiple output (MIMO) and orthogonal frequency division multiple access (OFDMA) techniques become indispensable parts of today’s wireless systems such as WiMAX (IEEE 802.16 standard) since they can increase the supportable data rates significantly. However, achieving the maximum spectral efficiency in a MIMO system requires perfect channel state information (CSI) at the transmitter side and multicarrier nature of OFDMA systems increase the necessary CSI feedback from users to base stations remarkably. To further increase the supportable data rates, using frequency reuse factor of 1 in the system is also mandatory. Unfortunately, this results in significant cochannel interference (CCI) observed especially by the users near cell edges, which can severely degrade the system spectral efficiency. To cope with this problem, base station cooperation may play an important role. In this thesis, the problem of cooperative data transmission from base stations to users in multicellular MIMO-OFDMA systems is considered. An efficient cooperative scheduling and data transmission scheme, requiring limited CSI feedback from users to base stations and also limited information exchange between the base stations, is proposed. The numerical results demonstrate that, the proposed algorithm offers considerable spectral efficiency gains compared to conventional frequency reuse and noncooperative schemes, under severe CCI conditionsTokel, Turgut BarışM.S

    Worldwide cotton production and trade during COVID-19 pandemic: An empirical analysis for a three-year observation

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    The COVID-19 pandemic has posed a significant impact on agriculture. Due to its importance in world trade and human life, the effects of the pandemic on the cotton economy were evaluated by using the data of important organizations such as the U.S. Department of Agriculture, the World Trade Organization, and International Cotton Advisory Committee in this study. With the Chow test, which measures of structural breaks, the effects of COVID-19 on cotton production and trade were examined. According to the Chow test results, the pandemic had no significant effect on cotton production, exports and imports in the People’s Republic of China and Türkiye, while being highly influential on cotton production and exports in the U.S. and Brazil. Distinctively, in Pakistan, it had a significant impact on cotton production and import. It was observed that although the demand, trade and prices for cotton were descended, the cotton prices started to recover with the increase in demand in the third quarter of 2020. In June 2022, the highest peak in cotton prices was observed. As a conclusion, it is shown that cotton production and trade during the pandemic were affected in all countries except People’s Republic of China and Türkiye. However, the marks of the effects of factors such as decreasing stocks, uncertainties in national economies, high inflation and increase in production costs on the cotton economy will be better understood in the coming years

    Fibonacci Hierarchies for Decision Making

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    All decisions are practically made within a chainwise social setup named a decision-making chain (DMC). This paper considers some cases of an idea (a project proposal) propagating through an organizational DMC. Survival of a proposal through successive links of the DMC depends on the relative power of those links, in addition to proposal’s intrinsic value. Then it is not impossible to reject a good proposal or to fail to reject a bad proposal, either of which may generate undesired, though not detrimental, outcomes. We consider here a simple metric to assess quality of decision-making. The notion of quality here derives from “not declining (not accepting) a project that is of high (poor) intrinsic value”. As Fibonacci series establish the mathematical basis of our proposed metric, metric is simply named a Fibonacci metric
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