Counting hyperelliptic curves that admit a Koblitz model

Let k be a finite field of odd characteristic. We find a closed formula for the number of k-isomorphism classes of pointed, and non-pointed, hyperelliptic curves of genus g over k, admitting a Koblitz model. These numbers are expressed as a polynomial in the cardinality q of k, with integer coefficients (for pointed curves) and rational coefficients (for non-pointed curves). The coefficients depend on g and the set of divisors of q-1 and q+1. These formulas show that the number of hyperelliptic curves of genus g suitable (in principle) of cryptographic applications is asymptotically (1-e^{-1})2q^{2g-1}, and not 2q^{2g-1} as it was believed. The curves of genus g=2 and g=3 are more resistant to the attacks to the DLP; for these values of g the number of curves is respectively (91/72)q^3+O(q^2) and (3641/2880)q^5+O(q^4)

The effect of melatonin on bacterial translocation following ischemia/reperfusion injury in a rat model of superior mesenteric artery occlusion

Background: Acute mesenteric ischemia is a life-threatening vascular emergency resulting in tissue destruction due to ischemia-reperfusion injury. Melatonin, the primary hormone of the pineal gland, is a powerful scavenger of reactive oxygen species (ROS), including the hydroxyl and peroxyl radicals, as well as singlet oxygen, and nitric oxide. In this study, we aimed to investigate whether melatonin prevents harmful effects of superior mesenteric ischemia-reperfusion on intestinal tissues in rats. Methods: Rats were randomly divided into three groups, each having 10 animals. In group I, the superior mesenteric artery (SMA) was isolated but not occluded. In group II and group III, the SMA was occluded immediately distal to the aorta for 60 minutes. After that, the clamp was removed and the reperfusion period began. In group III, 30 minutes before the start of reperfusion, 10 mg/kg melatonin was administered intraperitonally. All animals were sacrified 24 hours after reperfusion. Tissue samples were collected to evaluate the I/R-induced intestinal injury and bacterial translocation (BT). Results: There was a statistically significant increase in myeloperoxidase activity, malondialdehyde levels and in the incidence of bacterial translocation in group II, along with a decrease in glutathione levels. These investigated parameters were found to be normalized in melatonin treated animals (group III). Conclusion: We conclude that melatonin prevents bacterial translocation while precluding the harmful effects of ischemia/reperfusion injury on intestinal tissues in a rat model of superior mesenteric artery occlusion. © 2015 Ozban et al.; licensee BioMed Central

Site-Based Partitioning and Repartitioning Techniques for Parallel PageRank Computation

Cataloged from PDF version of article.The PageRank algorithm is an important component in effective web search. At the core of this algorithm are repeated sparse matrix-vector multiplications where the involved web matrices grow in parallel with the growth of the web and are stored in a distributed manner due to space limitations. Hence, the PageRank computation, which is frequently repeated, must be performed in parallel with high-efficiency and low-preprocessing overhead while considering the initial distributed nature of the web matrices. Our contributions in this work are twofold. We first investigate the application of state-of-the-art sparse matrix partitioning models in order to attain high efficiency in parallel PageRank computations with a particular focus on reducing the preprocessing overhead they introduce. For this purpose, we evaluate two different compression schemes on the web matrix using the site information inherently available in links. Second, we consider the more realistic scenario of starting with an initially distributed data and extend our algorithms to cover the repartitioning of such data for efficient PageRank computation. We report performance results using our parallelization of a state-of-the-art PageRank algorithm on two different PC clusters with 40 and 64 processors. Experiments show that the proposed techniques achieve considerably high speedups while incurring a preprocessing overhead of several iterations (for some instances even less than a single iteration) of the underlying sequential PageRank algorithm. © 2011 IEEE

Türkiye'de ihracat teşviklerinin etkinliği

Tez (yüksek lisans) - Anadolu ÜniversitesiAnadolu Üniversitesi, Sosyal Bilimler Enstitüsü, İktisat Anabilim DalıKayıt no: 415820Bir ekonomide dış ticaretin özellikle ihracatın ekonomik büyüme üzerinde olumlu etkileri vardır. Bu etkiler; milli geliri artırması, piyasa genişlemesine yol açması, döviz sınırlamalarını ortadan kaldırması, yurtiçi etkenliği ve verimliliği artırması, mukayeseli üstünlüklere uygun bir kaynak dağılımına yol açması, kamu politikalarının uygulanmasına izin vermesi ve tasarrufları artırmasıdır. Dolayısıyla ihracat, iktisadi büyümenin finansmanı açısından önemli bir faktördür. Bu nedenle ülkeler dış ticarete ayrı bir önem vermektedirler. Uluslararası pazarlarda yoğun bir rekabetin yaşandığı günümüzde ülkeler ihracatın gelişmesine katkıda bulunacak stratejiler belirlemekte ve çeşitli önlemler almaktadırlar. Bu çerçevede ihracat işlemlerine ve ihracatın teşvikine ilişkin olarak alınan önlemlerin önemi büyüktür. Bugün Türkiye dışa açık büyüme modelini seçmiş gelişmekte olan bir ülke olduğu için; ihracat, dolayısıyla ihracatın teşviki büyük önem arz etmektedir. Bu çalışmada ihracat teşvikleri teknik olarak incelenecek, Türkiye'de ihracatın artmasına katkısı araştırılacak ve çözüm önerileri üzerinde durularak ihracata yönelik devlet yardımları açıklanacaktır

Web-site-based partitioning techniques for efficient parallelization of the PageRank computation

Cataloged from PDF version of article.Web search engines use ranking techniques to order Web pages in query results. PageRank is an important technique, which orders Web pages according to the linkage structure of the Web. The efficiency of the PageRank computation is important since the constantly evolving nature of the Web requires this computation to be repeated many times. PageRank computation includes repeated iterative sparse matrix-vector multiplications. Due to the enormous size of the Web matrix to be multiplied, PageRank computations are usually carried out on parallel systems. However, efficiently parallelizing PageRank is not an easy task, because of the irregular sparsity pattern of the Web matrix. Graph and hypergraphpartitioning-based techniques are widely used for efficiently parallelizing matrixvector multiplications. Recently, a hypergraph-partitioning-based decomposition technique for fast parallel computation of PageRank is proposed. This technique aims to minimize the communication overhead of the parallel matrix-vector multiplication. However, the proposed technique has a high prepropocessing time, which makes the technique impractical. In this work, we propose 1D (rowwise and columnwise) and 2D (fine-grain and checkerboard) decomposition models using web-site-based graph and hypergraph-partitioning techniques. Proposed models minimize the communication overhead of the parallel PageRank computations with a reasonable preprocessing time. The models encapsulate not only the matrix-vector multiplication, but the overall iterative algorithm. Conducted experiments show that the proposed models achieve fast PageRank computation with low preprocessing time, compared with those in the literature.Cevahir, AliM.S

SOMPT22: A Surveillance Oriented Multi-Pedestrian Tracking Dataset

Multi-object tracking (MOT) has been dominated by the use of track by detection approaches due to the success of convolutional neural networks (CNNs) on detection in the last decade. As the datasets and bench-marking sites are published, research direction has shifted towards yielding best accuracy on generic scenarios including re-identification (reID) of objects while tracking. In this study, we narrow the scope of MOT for surveillance by providing a dedicated dataset of pedestrians and focus on in-depth analyses of well performing multi-object trackers to observe the weak and strong sides of state-of-the-art (SOTA) techniques for real-world applications. For this purpose, we introduce SOMPT22 dataset; a new set for multi person tracking with annotated short videos captured from static cameras located on poles with 6-8 meters in height positioned for city surveillance. This provides a more focused and specific benchmarking of MOT for outdoor surveillance compared to public MOT datasets. We analyze MOT trackers classified as one-shot and two-stage with respect to the way of use of detection and reID networks on this new dataset. The experimental results of our new dataset indicate that SOTA is still far from high efficiency, and single-shot trackers are good candidates to unify fast execution and accuracy with competitive performance. The dataset will be available at: sompt22.github.ioComment: 18 pages, 3 figures, 9 tables, ECCV 202

The Effect Of Personal Values On Consumers’ Inclination To Adopt Innovations

Kişisel değerlerin, pazarlama ve tüketici davranışları üzerindeki rolüne ilişkin önemli sayıda çalışma olmasına rağmen, kişisel değerler ile yeniliklerin benimsenmesi ilişkisini araştıran çok az sayıda çalışma yapılmıştır. Dolayısıyla bu çalışma, kişisel değerlerin tüketicilerin yenilikleri benimseme sürecindeki etkileri üzerine odaklanmıştır. İki değişken arasındaki etki ve ilişkiyi açıklamak için literatürdeki çalışmaların bulgularıyla da uyumlu olarak bir yapısal eşitlik modeli geliştirilmiştir. Araştırma sonuçları ise, kişisel değerlerin yeni ürünlerin benimsenme süreci üzerinde önemli bir etkiye sahip olduğunu göstermiştir.Although there has been a fair amount of research on the role of personal values in marketing and consumer behavior, few studies addressed the relationship between personal values and adoption of innovations. This study focuses on the effect of personal values on consumers’ adoption of innovations. In order to determine the relationship and the effect, this study developes a structural equation model introducing relations between personal values and adoption of innovations consistent with previous studies. The result of this study shows that personal vales has effect on the adoption process for new products

Impacts of new car sales on second hand car trade: Türkiye as an example

Sosyal Bilimler Enstitüsü, Dijital Ekonomi ve Pazarlama Ana Bilim Dalı, Dijital Ekonomi ve Pazarlama Bilim DalıOtomobil ticareti ve otomotiv endüstrisi, diğer sektörlere olan etkisi ile dünya ekonomilerinde önemli bir yere sahiptir. Ana amacı ulaşım olan otomotivin, farklı sanayi dalları ile olan ilişkisi gereği oluşturduğu gelir alanları ve iş imkanları hem toplumların ekonomilerine hem de bireylerin refah seviyelerine önemli ölçüde katkı sağlamaktadır. Üretilip satılan her yeni otomobil potansiyel bir ikinci el otomobildir. İhtiyaca göre belli bir süre kullanıldıktan sonra tekrar satışa konularak yeniden bir ticaretin konusu olurlar. Böylece otomobil piyasası yeni (sıfır) ve ikinci el (kullanılmış) olmak üzere iki ana gruba ayrılabilir. Geniş bir kullanım alanına sahip olan otomobillerin ikinci el olarak satış hacmi, Türkiye'de de pek çok ülkede olduğu gibi yeni otomobil satış hacminden çok daha büyük bir adete sahiptir. Türkiye'de özellikle 2018 yılından itibaren artan ikinci el araç talepleri ve fiyatları, otomotiv sektörünü kendine özgü dinamiklerinin dışında dizayn etmeye başlamıştır. Bu çalışmanın amacı da yeni otomobil ticaretinin ikinci el otomobil ticaretiyle olan ilişkisini ortaya koymaktır. Konuyu, 2010 ve 2021 yılları arasındaki TÜİK panel verileri ve anonim bir kuruluştan alınan verilerle değerlendiren bu çalışmada, ilgili yıllar için ikinci el otomobil ticaretinin adet ve fiyatlarının yeni otomobil ticaretinin fiyatlarından etkilendiği fakat yeni otomobil ticaretinin adetlerinden etkilenmediği anlaşılmıştır. Yeni otomobil ticareti adetlerinin de ilgili yıllar için neden ikinci el otomobil ticaretinin adetleri ve fiyatları üzerinde etkisi olmadığı, pandemi süreci ve diğer makro ekonomik etkenler ile birlikte değerlendirilip açıklanmıştır. Ayrıca, otomobillerin, farklı ekonomik koşullarda tüm piyasa dinamiklerinin üzerinde değer kazanarak, asli görevinin yanında tüketiciler için karlı bir yatırım aracı olabildiği de görülmüştür.Automobile trade and the automotive industry have a notable place in the world economy with their impact on other sectors. The income areas and job opportunities created by the automotive, whose primary purpose is transportation, as a result of its relationship with different branches of industry, contribute significantly to both the economies of societies and the welfare levels of individuals. Every new car manufactured and sold is a potential used car. After being used for a certain period, they are put on sale again and become a subject of trade again. Therefore, the automobile market can be divided into two main groups new and second-hand (used). The sales volume of used cars, which spread over a wide range of usage areas, is much higher than that of new automobiles in Türkiye, as in many other countries. The increasing demand for second-hand vehicles and prices in Türkiye, especially since 2018, has begun to design the automotive industry outside its unique dynamics. This study aims to reveal the relationship between the new and second-hand automobile trade. In this study, which evaluates the subject with Turkish Statistical Institute (TUIK) panel data between 2010 and 2021 and data obtained from an anonymous institution, it has been discovered that the number and prices of the second-hand automobile trade for the relevant years are affected by the prices of the new automobile trade, but not from the new automobile trade. It was evaluated and explained why the new automobile trade numbers did not affect the numbers and prices of the second-hand automobile trade for the relevant years, together with the pandemic process and other macroeconomic factors. In addition, automobiles can be a profitable investment tool for consumers besides their genuine duty by gaining value above all market dynamics in different economic conditions