VLSI circuit partitioning for simulation and placement

Ankara : Department of Computer Engineering and Information Science and Institute of Engineering and Science, Bilkent Univ., 1993.Thesis (Master's) -- Bilkent University, 1993.Includes bibliographical references leaves 71-76Tahboub, RadwanM.S

Four Dimensional Image Registration For Intravital Microscopy

Increasingly the behavior of living systems is being evaluated using intravital microscopy since it provides subcellular resolution of biological processes in an intact living organism. Intravital microscopy images are frequently confounded by motion resulting from animal respiration and heartbeat. In this paper we describe an image registration method capable of correcting motion artifacts in three dimensional fluorescence microscopy images collected over time. Our method uses 3D B-Spline non-rigid registration using a coarse-to-fine strategy to register stacks of images collected at different time intervals and 4D rigid registration to register 3D volumes over time. The results show that our proposed method has the ability of correcting global motion artifacts of sample tissues in four dimensional space, thereby revealing the motility of individual cells in the tissue

Spreading the Wings and the Words: Hybridization & Dissemination of Palestinian Literature

The paper presents Palestinian literature as a unique example of nationalistic literature inspired by the political milieu and historical context, aimed at reviving and regaining the lost essence of the Palestinian identity. It argues that there are supra-literary factors involved in writing about Palestine adhered to, more or less, by most writers. It explains that writers who write about Palestine, as well as readers, do not start with a blank page; writers have a set of themes to choose from, readers, moreover, expect to read a story along the lines of an optimistic and futuristic framework: A positive hero(ine) with a positive conclusion beyond all odds.The paper also discusses the general characteristics of Palestinian literature and its various subgenres, titles and their thematic implications on writers, stories and readers. The paper provides a brief critical overview on how writing about Palestine is viewed as part of the resistance and a contribution to the national cause. The paper presents a real life example in the biography of Ghada al-Karmi, the typical hybrid Palestinian refugee stressing that it is not the “whereabouts” of the Palestinian authors which shape their literary vision, it is legacy of their Palestinian origin and identity that is nurtured in their being but ceased to exist in real life. It concludes with stressing that the particular and unique nature of Palestinian literature should not hinder the audience from appreciating its value. National and ideological literature, unlike the stereotypical belief, can still walk hand in hand with creativity, both sharing in the presentation of a memorable human suffering.

STATE-OF-CHARGE ESTIMATION USING DEEP LEARNING FOR ELECTRIC VEHICLES

This thesis investigates the application of deep learning models for State of Charge (SOC) estimation in Battery Management Systems (BMS) for electric vehicles (EVs), focusing on optimizing EV range, lifespan, and performance while addressing challenges like range anxiety. The study explores three deep learning architectures—Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM), and Gated Recurrent Unit (GRU)—each designed to capture complex temporal dependencies in battery data. The LSTM model is trained on EV battery data, including voltage, current, temperature, and SOC, providing a strong baseline for SOC estimation. The BiLSTM model enhances accuracy by processing data in both forward and backward directions, thus capturing contextual relationships within the data more effectively. The GRU model offers a simpler design that maintains reasonable accuracy, focusing on computational efficiency for real-time BMS applications. A hybrid deep learning model is also introduced, combining BiLSTM layers with fully connected layers (FCLs) to leverage both bidirectional processing and complex pattern recognition. This hybrid approach effectively integrates past and future time steps, achieving superior SOC prediction accuracy across various test scenarios, especially under complex driving cycles and varied environmental conditions. The models were evaluated on a Tesla battery dataset, with performance comparisons demonstrating the hybrid model’s effectiveness in adapting to dynamic conditions. By advancing robust SOC estimation methods, this research supports the development of efficient BMS solutions that contribute to the adoption of EVs and the advancement of sustainable transportation

Characteristics of cardiothoracic surgeons practicing at the top-ranked US institutions

BACKGROUND: We aimed to determine which factors distinguish cardiothoracic (CT) surgeons practicing at the top-ranked US institutions from their peers. METHODS: Using online resources, we collected demographics, training information and academic metrics of 694 cardiac (n=489; 70%) and thoracic (n=205; 30%) surgeons practicing at 57 preeminent US institutions, including those with the highest US News & World Report ranking ("top CT centers"). RESULTS: Two hundred and ninety-nine (43.1%) CT surgeons were practicing at the 18 "top CT centers" and had higher academic productivity (publications, citations) than their peers. While there was no difference in the proportion of international medical graduates (IMGs) (21.4% overall) or of surgeons with a PhD degree (9.4% overall) across institutions, the "top CT centers" had a higher proportion of faculty who received their entire CT training abroad (10.4% vs. 5.8%; P=0.038) or at highly-ranked US institutions. Those who published more during their early career years (residency, fellowship and first 5 years as faculty) were more likely to attain academic (professorship) and institutional leadership (division/department chair) positions and to practice at the "top CT centers". Women represented a minority (7.3% overall; 5.1% of cardiac vs. 12.7% of thoracic surgeons, P<0.001), but with growing prevalence among younger faculty and without differences across institutions. CONCLUSIONS: CT surgeons of the best US centers have a more international background and received their training at highly-ranked institutions. Early academic productivity is associated with life-long career achievements, with special importance of the first 5 years as faculty. Women represent a growing proportion of the CT surgical workforce

Warehouse Waste Reduction Level and Its Impact on Warehouse and Business Performance

Warehouses considered as having a strategic role in supporting the overall competitiveness of the supply chain through achieving improved efficiency. Accordingly, lean thinking have recently found its way in the warehouse operations. The aim of this paper is to propose and test a model to assess the level of waste reduction practices and its impact on warehouse and business performance, and to encourage scholars to develop models to assess lean thinking and waste reduction in warehouse operations. A Delphi technique used in order to develop related questionnaires to measure the degree of waste reduction in the different warehouse activities. The results suggested the existence of a positive relationship between waste reduction activities and business performance and warehouse operational performance. Finally, this paper provides practical implications for warehouse and supply chains managers and directions for future researchers in this field