Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFICIENT COMPUTATION OF SURFACE FIELDS EXCITED ON AN ELECTRICALLY LARGE CIRCULAR CYLINDER WITH AN IMPEDANCE BOUNDARY CONDITION

EFFICIENT COMPUTATION OF SURFACE FIELDS EXCITED ON AN ELECTRICALLY LARGE CIRCULAR CYLINDER WITH AN IMPEDANCE BOUNDARY CONDITION Burak Alişan M.S. in Electrical and Electronics Engineering Supervisor: Prof. Dr. Ayhan Altıntaş July, 2006 An efficient computation technique is developed for the surface fields excited on an electrically large circular cylinder with an impedance boundary condition (IBC). The study of these surface fields is of practical interest due to its applications in the design and analysis of conformal antennas. Furthermore, it acts as a canonical problem useful toward the development of asymptotic solutions valid for arbitrary smooth convex thin material coated/partially material coated surfaces. In this thesis, an alternative numerical approach is presented for the evaluation of the Fock type integrals which exist in the Uniform Geometrical Theory of Diffraction (UTD) based asymptotic solution for the non-paraxial surface fields excited by a magnetic or an electric source located on the surface of an electrically large circular cylinder with an IBC. This alternative approach is based on performing a numerical integration of the Fock type integrals on a deformed path on which the integrands are non-oscillatory and rapidly decaying. Comparison of this approach with the previously developed study presented by Tokgöz (PhD thesis, 2002), which is based on invoking the Cauchy’s residue theorem by finding the pole singularities numerically, reveals that the alternative approach is considerably more efficient. Since paraxial solution is a closed-form solution and very efficient in terms of computational time, there is no need for an alternative approach for the evaluation of the paraxial surface fields.
DEAD-box RNA Helicase 39 Promotes Invasiveness and Chemoresistance of ER-positive Breast Cancer

Purpose: DDX39 is a DEAD-box RNA helicase that unwinds double-stranded RNA in an ATP-dependent manner. This study evaluated the prognostic and predictive significance of DDX39 in breast cancer (BC). Methods: The cellular proliferation, invasion, and drug cytotoxicity by DDX39 siRNA were evaluated in MCF7 (ER-positive) and MDA-MB-231 (ER-negative) cell lines. A total of 27 datasets (total 8110 accessible cases) with following-up information were collected from Asia, Europe, and North America to explore associations between DDX39 gene expression and clinical parameters of BC patients. Results: Down-regulation of DDX39 by siRNA significantly reduce the cell growth and invasion ability in MCF7 cells, but only slightly in MDA-MB-231 cells. The DDX39 mRNA level was elevated in breast adenocarcinoma compared with normal breast tissue (p<0.01). Higher DDX39 level was significantly correlated with larger tumor size (p<0.01) and poorer tumor differentiation (p<0.01). The prognostic significance of DDX39 for BC was assessed by pooled-analysis and meta-analysis. Kaplan-Meier analysis demonstrated that increased DDX39 mRNA expression was associated with poor outcomes significantly in a dose-dependent manner in ER-positive BC. The prognostic performance of DDX39 mRNA was comparable to 21-gene, 70-gene, and wound-response gene signatures, and it was superior to the TNM stage. Lower DDX39 expression was associated with reduced relative risk death on ER-positive BC with chemotherapy or radiotherapy. Inhibition of DDX39 by siRNA could significantly enhance the sensitivity of MCF-7 to doxorubicin. Conclusion: DDX39 may be a potential novel prognostic and predictive biomarker for BC patients with ER-positive status.
AN IMPROVED MATHEMATICAL MORPHOLOGY FILTER FOR FAULT LOCATION IN POWER TRANSMISSION LINES

This paper presents a novel mathematical morphology (MM) Erosion-Dilation (ED) filter. The two basic operators of MM, Erosion and Dilation, can be regarded as the special cases of the ED filter which is formulated in a unified mathematical framework to provide filtering effects between that offered by Erosion and Dilation filters. The ED filter performs much better in noise reduction compared with Dilation and Erosion filters. It is applied to reduce noise in the transient signals and improve the performance of the power transmission line fault location which was detected using Multi-resolution Morphology Gradient (MMG) [1]-[3]. The effectiveness of the ED filter for noise reduction is evaluated by a comprehensive simulation study.
Development of a Prototype Latent Heat Thermal Energy Storage System

Thermal energy storage systems can balance volatile production and consumption of heat at different temperature levels and time scales. The temperature target level is medium to high, focusing on storage temperatures up to 350 ◦C with potential applications in solar thermal energy production, or industrial processes. Utilizing phase change materials as storage material, the energy density can be higher compared to other storage systems. Because of the low thermal conductivity of many phase change materials in the solid state, heat transfer is highly transient. Enhancing the heat transfer ability is key to improving this storage technology; but heat transfer mechanisms and melting phenomena are also worth studying, especially when looking at industrial scale prototypes and the improvement of this level of technology. This work aims to address the topic of heat transfer enhancement and attaching aluminum fins to a steel tube. For this purpose, a new fin design and a novel attachment method are developed. Two test rigs in lab-scale are built and performance measurements of such a storage units are executed. In this this test rigs, sodium nitrate is used as an affordable, non-toxic and highly promising phase change material (PCM). The melting temperature is in the range of with life steam temperatures in solar thermal power plants. The test-rigs are equipped with a single aluminum finned steel tube filled with heat transfer fluid. The storage vessel is a cylindrical tank with a finned tube heat exchanger. The volume between the tubes and the shell is filled with PCM. Thermal oil is used as a heat transfer fluid. The temperatures and mass flows are processed in a process control system and analyzed later on. The experiments provide detailed data of the melting front development in the storage units. By employing multiple temperature testing points, energy balance and other performance indicators are provided for the two different fin geometries. The heat transfer from the heat transfer fluid into the storage material is described in detail and quantified. In addition, a new attachment method for aluminum fins is presented. With the novel fin geometry, melting performance is improved significantly. The heat transfer coefficient allows storage power prediction for future storage systems. And the highly promising manufacturing method for bimetallic finned tubes enables hexagonal cross sections and large-scale production. With this contribution to the development of latent heat thermal energy storage systems, energy systems will become more efficient. Industrial scale application of this storage type will help to reduce primary energy inputs through reduction of fossil fuel needs which will be one of the most threatening global challenges in the coming decades.
Ab Initio Investigation of CO Gas Sensing Mechanism on SnO2 Surfaces

This research is devoted to the investigation of the toxic CO gas adsorption mechanisms on the tin dioxide (SnO2) semiconductor. We used density functional theory (DFT) to describe adsorption processes and found out that the Mars-van Krevelen (MvK) adsorption mechanism is not responsible for adsorption on (101) and (001) surface orientations of SnO2, unlike for (110), (100), where CO2 molecule forms and desorbs from the surfaces. Electronic density of states (eDoS) calculation and Bader charge analysis were done to explain the increase of surface conductance. Keywords-gas; sensor; DFT; CO; adsorption; Marsvan Krevelen.
CROSS: loCation pROof techniqueS for consumer mobile applicationS

—The ubiquitousness of smartphones, wearables and other mobile devices, coupled with the increasing amount of communications infrastructure present in urban environments, has led to the rise of location-aware applications. Many of these applications do not verify the location information they consume, making them vulnerable to location spooﬁng attacks. Location proof systems aim to solve this problem by allowing devices to interact with location-speciﬁc resources and issue proof that they have been at speciﬁc locations on speciﬁc times. In this work we introduce CROSS, a system that performs location veriﬁcation using techniques compatible with off-the-shelf Android smartphones. We present three strategies for the production of location proofs with increasing tamper-resistance, two of which are based on Wi-Fi and a third based on physical interaction with kiosk-like devices. Our techniques were designed with user privacy and security in mind, minimizing the amount of connections between devices. A prototype application was implemented to assess the feasibility and reliability of the architecture and location proof strategies. The application allows rewarding users who complete a touristic route, with proofs of visit collected along the way. We use smart tourism as the demonstrative use case for the usefulness and feasibility of location proofs, in the context of a mobile application. Our evaluation, which included experiments with 30 users, showed that the system can be feasibly used in real-world scenarios, providing adequate security guarantees for the intended use case.
Genetic diversity in the U.S. hard red winter wheat cultivars as revealed by microsatellite markers

Knowledge of the genetic diversity existing in previously released hard red winter wheat (HRWW, Triticum aestivum L.) cultivars in the Great Plains region, United States, is essential for effective utilisation of these genetic resources in the various HRWW breeding programs. To ascertain a measure of the genetic diversity of the existing US HRWW, 60 cultivars were analysed with 62 microsatellite markers distributed throughout the wheat genome. Marker data were subjected to distance-based analysis and analysis of molecular variances. In total, 341 polymorphic alleles were scored with a range of 2-12 alleles per locus. Genetic diversity gradually increased in cultivars released after the 1970s. Cultivars released in the 1990s had the highest allelic richness (4.79), gene diversity (0.60), and polymorphic information content (0.56). Levels of genetic diversity were similar between the major HRWW breeding programs. Cluster analysis resulted in eight clusters. Cluster grouping gave close matches with pedigrees and with regional distribution of the cultivars. Using decadal information, cultivars released from 1900-1969 were grouped into one cluster, cultivars from 1990-2005 were grouped into a separate cluster, whereas cultivars from the 1980s did not group with any other decades. Analysis of molecular variance revealed a significant variation among the clusters, signifying that a true genetic variation existed among the clusters. The higher proportion of genetic variation explained by cultivars within clusters compared with among clusters indicates greater genetic diversity among cultivars within clusters. Our results indicate that genetic diversity of Great Plains HRWW cultivars has increased in the past century, and the trend is continuing.
PHOTO AND BACKGROUND IONIZATION/ STREAMER PROPAGATION

• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Equivalent Circuit Model of High-Performance VCSELs

In this work, a general equivalent circuit model based on the carrier reservoir splitting approach in high-performance multi-mode vertical-cavity surface-emitting lasers (VCSELs) is presented. This model accurately describes the intrinsic dynamic behavior of these VCSELs for the case where the lasing modes do not share a common carrier reservoir. Moreover, this circuit model is derived from advanced multi-mode rate equations that take into account the effect of spatial hole-burning, gain compression, and inhomogeneity in the carrier distribution between the lasing mode ensembles. The validity of the model is confirmed through simulation of the intrinsic modulation response of these lasers.
Mass balance reassessment of glaciers draining into the Abbot and Getz Ice Shelves of West Antarctica

We present a reassessment of input‐output method ice mass budget estimates for the Abbot and Getz regions of West Antarctica using CryoSat‐2‐derived ice thickness estimates. The mass budget is 8 ± 6 Gt yr−1 and 5 ± 17 Gt yr−1 for the Abbot and Getz sectors, respectively, for the period 2006–2008. Over the Abbot region, our results resolve a previous discrepancy with elevation rates from altimetry, due to a previous 30% overestimation of ice thickness. For the Getz sector, our results are at the more positive bound of estimates from other techniques. Grounding line velocity increases up to 20% between 2007 and 2014 alongside mean elevation rates of −0.67 ± 0.13 m yr−1 between 2010 and 2013 indicate the onset of a dynamic thinning signal. Mean snowfall trends of −0.33 m yr−1 water equivalent since 2006 indicate recent mass trends are driven by both ice dynamics and surface processes.
Flow-induced Mechanotransduction in Cell-Cell Junctions of Endothelial Cells

Endothelial cells show an unexpected behavior shortly after the onset of laminar flow: their crawling speed decreases -40%'within the first 30 min, but only in a confluent monolayer of endothelial cells, not in subconfluent cultures, where cell-cell interactions are limited. This led us to study early shear effects on cell-cell adherens junctions. We found a 30±6% increase in the number of VE-cadherin molecules in the junctions. The strength of interactions of endothelial cells with surfaces coated with recombinant VE-cadherin protein also increased after laminar flow. These observations suggest that endothelial cell junction proteins respond to flow onset. The process of clustering may induce diffusion of monomers to the junction area, resulting in an overall increase in VE-cadherins in the junctions. To directly confirm the role of adherens junctions in the decrease in cell crawling speed, we used siRNA-knockdown technique to produce cells lacking VE-cadherin. These cells showed no decline in crawling speed under flow. Our interpretation is consistent with previous data on junction disassembly 8 hr after flow onset. The speed of endothelial cell crawling returns to the original level by that time, and junctional disassembly may explain that phenomenon. In order to understand better the change in VE-cadherin distribution under flow and during junction formation and remodelling, we developed a mathematical model of VE-cadherin redistribution in endothelial cells. This model allowed us to develop a quantitative framework for analysis of VE-cadherin redistribution and estimate the amount of protein in the junctions and on the apical surface. In addition to that, the model explains rapid junction disassembly in the leukocyte transmigration and junction formation in subconfluent cells. These studies show that intercellular adhesion molecules are important in the force transmission and shear stress response. Their role, however, is not limited to flow mechanotransduction. Intercellular force transmission has an important application organ development and, specifically, angiogenesis. We studied the role of VE-cadherin in vessel development in HUVECs and showed that VE-cadherin-null cells do not form vessels in the in vitro assay. This observation confirms the important role of intercellular force transmission in response to external force caused by flow or exerted by other cells.
Stereo Disparity Facilitates View Generalization during Shape Recognition for Solid Multipart Objects

Current theories of object recognition in human vision make different predictions about whether the recognition of complex, multipart objects should be influenced by shape information about surface depth orientation and curvature derived from stereo disparity. We examined this issue in five experiments using a recognition memory paradigm in which observers (N = 134) memorized and then discriminated sets of 3D novel objects at trained and untrained viewpoints under either mono or stereo viewing conditions. In order to explore the conditions under which stereo-defined shape information contributes to object recognition we systematically varied the difficulty of view generalization by increasing the angular disparity between trained and untrained views. In one series of experiments, objects were presented from either previously trained views or untrained views rotated (15°, 30°, or 60°) along the same plane. In separate experiments we examined whether view generalization effects interacted with the vertical or horizontal plane of object rotation across 40° viewpoint changes. The results showed robust viewpoint-dependent performance costs: Observers were more efficient in recognizing learned objects from trained than from untrained views, and recognition was worse for extrapolated than for interpolated untrained views. We also found that performance was enhanced by stereo viewing but only at larger angular disparities between trained and untrained views. These findings show that object recognition is not based solely on 2D image information but that it can be facilitated by shape information derived from stereo disparity.
Fractal-like neural representation in the songbird forebrain

Song of birds is excellent model of human language in terms of syntactical property, especially in Bengalese finches whose song obey finite state grammar. In the present paper, we executed an electrophysiological experiment to clear the neural representation of song element sequence in forebrain nucleus HVc. The results show that most of neurons in HVc responded not only the sequence included in their own song but also the sequence not included. Thus, Each neuron have each response distribution toward the whole element sequence. From this result, we think that many neurons with different response distribution to each sequence represent whole song sequence as a neural ensemble, that is, population coding of song element sequence. From the dynamical systems point of view, this sequence representation in HVc of songbirds might have fractallike structure with hierarchical structure.
The Biopolitics of Immigration: A Genealogy of the “Hispanic Paradox”

The “Hispanic Paradox” refers to the epidemiological finding that, despite a lower socioeconomic status, Hispanics tend to have health outcomes (especially regarding mortality rates and life expectancy) that are similar to, if not better than, US non-Hispanic Whites. Within the public health literature, a number of explanations have been proposed focusing on reproductive and fertility rates, biological differences, cultural and lifestyle advantages, the impact of selective migration to the US, among others. Despite the abundant literature on this topic since the late 1980s, little work has been done on the paradox from a philosophical perspective. In this paper, I seek to address this gap by offering a genealogy of the “Hispanic Paradox. ” The bulk of this paper, then, focuses on exposing how the development of the Hispanic Paradox is epistemically tied to the prevailing anti-immigration discourse of the 1980s and 1990s. By highlighting the relationship between these two phenomena, this paper proposes a new direction for research into the biopolitics of immigration. More specifically, this paper suggests that the discourses of the “browning of America” and the Hispanic Paradox reveal a specifically biopolitical concern over the longevity of the United States as a White-majority country.
Sport-based risk management: shaping motivated, responsible and self-governing citizen subjects

Abstract The Sport Programme, initiated by municipal administrators and managed by a social entrepreneur, is a Swedish sport-based intervention promoted as a response to social problems of crime and segregation in a targeted urban area. The article examines the manager and coaches’ presentation of the programme with respect to how pedagogical governing techniques are assumed to promote social change and how desirable citizen subjects are constructed for social inclusion. A variety of statements are analysed from a governmentality perspective. It is concluded that, although problems are assumed to be caused by structural segregation, the intervention targets individual change and risk management. Presumably, subjects are provided with motivational powers that are shaped by role models and applied in ‘choosing the right track’, navigating among risks and averting problems and exclusion. By representing problems as risks, avoidance is formed as an individual opportunity. This technology of individual agency is aimed at shaping motivated, responsible and self-governing citizen subjects, thus representing subjects as being responsible for their own welfare and inclusion. With respect to sport as a means of responding to social problems, the article provides reflections on and empirical accounts of the conditions of welfare provision and social work under advanced liberalism.
C2DNDA: A Deep Framework for Nonlinear Dimensionality Reduction

Dimensionality reduction has attracted much research interest in the past few decades. Existing dimensionality reduction methods like linear discriminant analysis and principal component analysis have achieved promising performance, but the single and linear projection properties limit further improvements of performance. A novel convolutional two-dimensional nonlinear discriminant analysis method is proposed for dimensionality reduction in this article. In order to handle nonlinear data properly, we present a newly designed structure with convolutional neural networks (CNNs) to realize an equivalent objective function with classical two-dimensional linear discriminant analysis (2DLDA) and thus embed the original 2DLDA into an end-to-end network. In this way, the proposed dimensionality reduction network can utilize the nonlinearity of the CNN and benefit from the learning ability. The results of experiment on different image-related applications demonstrate that our method outperforms other comparable approaches, and its effectiveness is proved.