Mekteb-i Sultani öğretmenlerinden A. Synvet'nin gözüyle Osmanlı İmparatorluğu

Taha Toros Arşivi, Dosya Adı: Galatasarayİstanbul Kalkınma Ajansı (TR10/14/YEN/0033) İstanbul Development Agency (TR10/14/YEN/0033

A MapReduce-Based Big Spatial Data Framework for Solving the Problem of Covering a Polygon with Orthogonal Rectangles

The polygon covering problem is an important class of problems in the area of computational geometry. There are slightly different versions of this problem depending on the types of polygons to be addressed. In this paper, we focus on finding an answer to a question of whether an orthogonal rectangle, or spatial query window, is fully covered by a set of orthogonal rectangles which are in smaller sizes. This problem is encountered in many application domains including object recognition/extraction/trace, spatial analyses, topological analyses, and augmented reality applications. In many real-world applications, in the cases of using traditional central computation techniques, working with real world data results in a performance bottlenecks. The work presented in this paper proposes a high performance MapReduce-based big data framework to solve the polygon covering problem in the cases of using a spatial query window and data are represented as a set of orthogonal rectangles. Orthogonal rectangular polygons are represented in the form of minimum bounding boxes. The spatial query windows are also called as range queries. The proposed spatial big data framework is evaluated in terms of horizontal scalability. In addition, efficiency and speed-up performance metrics for the proposed two algorithms are measured

Interleukin 23 in IBD Pathogenesis

Interleukin-23 (IL-23) is a cytokine that belongs to the IL-12 cytokine family that is produced mainly by antigen-presenting cells. IL-23 receptor is expressed by various innate and adaptive immune cells, including group 3 innate lymphoid cells (ILC3), neutrophils, γδ T cells, Th17 and natural killer T (NKT) cells. IL-23 regulates various functions of the responding cells critical for host protective responses but is also implicated in many chronic inflammatory diseases including inflammatory bowel diseases (IBD). IL-23 receptor signaling components and downstream effector cytokines IL-17A/F, interferon-gamma (IFN-γ), IL-22, granulocyte macrophage colony–stimulating factor (GMCSF) have been shown to impact IBD-like disease development in various animal models; therapeutic approaches targeting the IL-23 pathway in IBD are in clinical trials. In this chapter, we attempt to review the literature on IL-23–mediated IBD pathogenesis. We did this by gathering the current information about the individual IL-23–producing and IL-23–responsive cells as to how they contribute to IBD pathology through various inflammatory mediators

Innate Lymphoid Cells (Non‐NK ILCs)

Until a decade ago, natural killer (NK) cells constituted the major—if not the sole—player of innate lymphoid cell populations. The discovery of the presence and execution of curial functions by lymphoid tissue inducer‐like cells (LTi) in adults is followed by the discovery of Th2‐like innate cells and later Th1‐like helper group 1 ILCs. With these findings, the innate lymphocyte family has expanded and a new paradigm has emerged. Apparently, innate versions of helper subsets of CD4+ T cells existed in humans and mice. These cells, unlike their adaptive counterparts, lack CD3, T and B cell receptors, do not rearrange their antigen receptors and get activated by microbial products or cytokines. Furthermore, these cells rely on similar transcription factors that helper CD4+ T cells use for their development and functions (such as T‐bet, Gata3 and Rorγt); they produce similar effector cytokines (such as IFN‐γ; IL‐5, IL‐13, IL‐4; IL‐17A, IL‐22, GMCSF, respectively). Moreover, these cells assume crucial functions as an immediate, first line source of cytokines/chemokines against pathogens during protective immune responses. Lastly, very much like their adaptive counterparts, they are present and contribute to pathogenesis in various chronic inflammatory diseases of mice and humans in several tissues

DIFET: Distributed Feature Extraction Tool For High Spatial Resolution Remote Sensing Images

In this paper, we propose distributed feature extraction tool from high spatial resolution remote sensing images. Tool is based on Apache Hadoop framework and Hadoop Image Processing Interface. Two corner detection (Harris and Shi-Tomasi) algorithms and five feature descriptors (SIFT, SURF, FAST, BRIEF, and ORB) are considered. Robustness of the tool in the task of feature extraction from LandSat-8 imageries are evaluated in terms of horizontal scalability.Comment: Presented at 4th International GeoAdvances Worksho

Vectorization of Large Amounts of Raster Satellite Images in a Distributed Architecture Using HIPI

Vectorization process focus on grouping pixels of a raster image into raw line segments, and forming lines, polylines or poligons. To vectorize massive raster images regarding resource and performane problems, weuse a distributed HIPI image processing interface based on MapReduce approach. Apache Hadoop is placed at the core of the framework. To realize such a system, we first define mapper function, and then its input and output formats. In this paper, mappers convert raster mosaics into vector counterparts. Reduc functions are not needed for vectorization. Vector representations of raster images is expected to give better performance in distributed computations by reducing the negative effects of bandwidth problem and horizontal scalability analysis is done.Comment: In Turkish, Proceedings of International Artificial Intelligence and Data Processing Symposium (IDAP) 201

INTEGRATION OF OPENGL GRAPHIC LIBRARIES WITH SPATIAL DATABASE AS AN ANALYSIS AND VISUALIZATION TOOL

Geographic and non-geographic attributes of spatial datasets enable them to be integrated and analyzed in many GIS applications through visualization and analysis tools. The coordinate values of spatial datasets are defined by SRS (Spatial Referencing System) and projection together, and converted to the screen (view) coordinates through coordinate transformations. In this study, we approach this issue in reverse order. We create digitized object in view coordinates by interactive tools developed in open source OpenGL graphics libraries and convert them in real world spatial data. Spatial datasets are stored as vector objects such as points, lines and polygons in spatial databases in a predefined SRS and projection system. The effectiveness of the system will be tested through the application of the spatial queries on the stored objects. Analyses include but are not limited to calculating the area and circumference of polygons and determining of the distances between two points (e.g. houses) or polygons (regions)

The effect of time of day on Special Judo Fitness Test in active judokas: Evaluation in terms of chronotype

© 2023 The Author(s). Published with license by Taylor & Francis Group, LLC. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/The present cross-sectional study aims to examine the effect of time of day on the judo-specific performance in judokas, considering their chronotypes. Twenty-four male judokas participated in the study where the Morningness-Eveningness Questionnaire was administered, and on it, they were divided into morning-type (MT:12-judokas) and evening-type groups (ET:12-judokas). Afterwards, the Special Judo Fitness Test (SJFT) was applied to both groups at three different times (morning: 09:00 h, afternoon: 13:00 h and evening: 17:00 h) with body temperature measured before and after every SJFT performance. As a result, the Group*Test Time interaction significantly affected overall throwing performance during SJFT [F(2,44) = 29.437, p = 0.001, η2p: .572]. Furthermore, a significant time effect was found for the SJFT index [F(2,44) = 5.118, p = 0.010, η2p: .189] and for the Group*Test Time interaction with the mean value of the index [F(2,44) = 24.424, p < 0.001, η2p: .526]. Furthermore, body temperature had a significant time effect [F(2,44) = 301.454, p < 0.001, η2p: .932] and the Group*Test Time interaction [F(2,44) = 5.802, p = 0.006, η2p: .209]. In conclusion, coaches and exercise experts should consider judo athletes’ chronotype when planning special training programs to improve judo-specific anaerobic capacity. Furthermore, to minimize the impact of time of day and chronotype on athletes’ performance in competitions, it is recommended that MT athletes develop their judo-specific anaerobic capacity in the evening hours, when their performance is lower, while ET athletes should do so in the morning hours when their performance is lower via randori training.Peer reviewe