Miracle-dz/UniFAR-FTUs huggingface dataset:
Symmetry-Related Electromagnetic Properties of Resonator-Loaded Transmission Lines and Applications

This paper reviews the recent progress in the analysis and applications of the symmetry-related electromagnetic properties of transmission lines loaded with symmetric configurations of resonant elements. It will be shown that the transmission characteristics of these reactively loaded lines can be controlled by the relative orientation between the line and the resonant elements. Two main types of loaded lines are considered: (i) resonance-based structures; and (ii) frequency-splitting structures. In resonance-based transmission lines, a line is loaded with a single resonant (and symmetric) element. For a perfectly symmetric structure, the line is transparent if the line and resonator exhibit symmetry planes of different electromagnetic nature (electric or magnetic wall), whereas the line exhibits a notch (resonance) in the transmission coefficient if the symmetry planes behave as either electric or magnetic walls (symmetric configuration), or if symmetry is broken. In frequency-splitting lines, paired resonators are typically loaded to the transmission line; the structure exhibits a single notch for the symmetric configuration, whereas generally two split notches appear when symmetry is disrupted. Applications of these structures include microwave sensors (e.g., contactless sensors of spatial variables), selective mode suppressors (of application in common-mode suppressed differential lines, for instance) and spectral signature barcodes, among others.
Finding equilibria in large sequential games of imperfect information

Finding an equilibrium of an extensive form game of imperfect information is a fundamental problem in computational game theory, but current techniques do not scale to large games. To address this, we introduce the ordered game isomorphism and the related ordered game isomorphic abstraction transformation. For a multi-player sequential game of imperfect information with observable actions and an ordered signal space, we prove that any Nash equilibrium in an abstracted smaller game, obtained by one or more applications of the transformation, can be easily converted into a Nash equilibrium in the original game. We present an algorithm, GameShrink, for abstracting the game using our isomorphism exhaustively. Its complexity is Õ(n2), where n is the number of nodes in a structure we call the signal tree. It is no larger than the game tree, and on nontrivial games it is drastically smaller, so GameShrink has time and space complexity sublinear in the size of the game tree. Using GameShrink, we find an equilibrium to a poker game with 3.1 billion nodes--over four orders of magnitude more than in the largest poker game solved previously. We discuss several electronic commerce applications for GameShrink. To address even larger games, we introduce approximation methods that do not preserve equilibrium, but nevertheless yield (ex post) provably close-to-optimal strategies.
Results of a Citation Analysis of the Career Counselling Field from an African Perspective

The study examined research and trends in career counselling published in selected professional sources during the period 1980–2010. Citation analysis was used in this study to investigate documents which were indexed in the Web of Science related to career counselling. Career counselling and related keywords were used jointly in the search for documents. There were a total of 730 documents judged to be relevant to the field of career counselling and were citation analysed. The number of citations related to the career counselling field has been increasing continuously since 2000. Research publications on career counselling are projected to increase for both South African authors and the authors of other African countries.
Improved Quantification of Cerebral Vein Oxygenation Using Partial Volume Correction

Purpose: Quantitative susceptibility mapping (QSM) enables cerebral venous characterization and physiological measurements, such as oxygen extraction fraction (OEF). The exquisite sensitivity of QSM to deoxygenated blood makes it possible to image small veins; however partial volume effects must be addressed for accurate quantification. We present a new method, Iterative Cylindrical Fitting (ICF), to estimate voxel-based partial volume effects for susceptibility maps and use it to improve OEF quantification of small veins with diameters between 1.5 and 4 voxels. Materials and Methods: Simulated QSM maps were generated to assess the performance of the ICF method over a range of vein geometries with varying echo times and noise levels. The ICF method was also applied to in vivo human brain data to assess the feasibility and behavior of OEF measurements compared to the maximum intensity voxel (MIV) method. Results: Improved quantification of OEF measurements was achieved for vessels with contrast to noise greater than 3.0 and vein radii greater than 0.75 voxels. The ICF method produced improved quantitative accuracy of OEF measurement compared to the MIV approach (mean OEF error 7.7 vs. 12.4%). The ICF method provided estimates of vein radius (mean error <27%) and partial volume maps (root mean-squared error <13%). In vivo results demonstrated consistent estimates of OEF along vein segments. Conclusion: OEF quantification in small veins (1.5–4 voxels in diameter) had lower error when using partial volume estimates from the ICF method.
Silencing the Self Across Cultures: Depression and Gender in the Social World

This international volume offers new perspectives on social and psychological aspects of the complex dynamic of depression. The twenty-one contributors from thirteen countries - Australia, Canada, Finland, Germany, Haiti, India, Israel, Nepal, Poland, Portugal, Puerto Rico, Scotland, and the United States - represent contexts with very different histories, political and economic structures, and gender role disparities. Authors rely on Silencing the Self theory, which details the negative psychological effects when individuals silence themselves in close relationships and the importance of the social context in precipitating depression. Specific patterns of thought about how to achieve closeness in relationships (self-silencing schema) are known to predict depression. This book breaks new ground by demonstrating that the linkage of depressive symptoms with self-silencing occurs across a range of cultures. We offer a new view of gender differences in depression situated in the formation and consequences of self-silencing, including differing motivational aims, norms of masculinity and femininity, and the broader social context of gender inequality. The book offers evidence regarding why women's depression is more wide-spread than men's and why the treatment of depression lies in understanding that a person's individual psychology is inextricably related to the social world and close relationships. Authors examine not only gender differences in depression but also related aspects of mental and physical illness, including treatments specific to women. Several chapters describe the transformative possibilities of community-driven movements for disadvantaged women that support healing through a recovery of voice, and describe the need for systemic and structural changes to counter violations of human rights as a means of reducing women's risk of depression. Bringing the work of these researchers together in one collection furthers international dialogue about critical social factors that affect the rising rates of depression around the globe.
An Experimental Analysis of Counting Networks ∗

Counting networks are highly distributed data structures that provide low contention solutions to distributed coordination problems. Counting networks are structured with balancers interconnected in a networked fashion. We study experimentally (with simulations and real implementation) the performance of counting networks according to three criteria: (i) The way the balancers are distributed among the processors in the system, where we show that in most cases the best performance is to assign a connecting chain of balancers to each system node; (ii) The various sizes of counting networks, where we examine the tradeoffs between size and number of nodes in the system; (iii) The different kinds of counting networks, where we compare the bitonic, periodic, and BM counting networks where we find that for high loads the BM performs better than all the other networks. Key–Words: Distributed data structures, Counting networks, Load balancing, Bitonic, Periodic.
The mathematical model and performance analysis of a novel four-stator double-sided linear induction motor

A novel four-stator double-sided linear induction motor for Electromagnetic Aircraft Launch was designed in this paper. The electromagnetic model for this novel motor was proposed, and the coupling characteristics of inductive loop on shuttle inducted by upper and lower stators, and the coupling characteristics of adjacent windings of upper and lower stator-ends were analyzed in detail. And an advanced equivalent coupling circuit model was built for the novel linear induction motor. Based on the equivalent circuit model, the coupling characteristics of relevant physical quantities of upper and lower stators and upper and lower equivalent windings of shuttle were analyzed. Furthermore, the relationships between the coupling characteristics and motor operation conditions were derived, and the operation conditions for mathematical decoupling of relevant physical quantities of shuttle upper and lower equivalent windings were studied. Finally, the experiment results verify the validity and superiority of the proposed design and analysis methods.
Psychophysics and physiology of attentional influences on visual motion processing

Perception is not an objective representation of the sensory input, but is influenced by the behavioral state of the organism. Attention is one of the factors that biases perception by the modulation of sensory processing. This thesis deals with attentional effects on the processing of sensory information in the visual system. Specifically, the processing of visual motion serves as a model system to study how attention shapes the spatial selectivity of single neurons and how this change in spatial tuning might influence the perception of spatial relations. The thesis' main part consists of two related studies in which single-cell recordings from the medial temporal area (MT) of awake behaving macaques were used to investigate attentional modulation of receptive field profiles (spatial selectivity profiles), one computational study in which these effects were modeled, and one psychophysical experiment with human subjects in which predictions from the physiological results were tested.
Bazedoxifene acetate quantification in rat serum with the aid of RP-HPLC: Method development and validation

Development of simple, sensitive, accurate and reproducible RP-HPLC method for Bazedoxifene acetate estimation in rat serum using ratio of peak area of analyte to internal standard (Raloxifene) for a pharmacokinetic study is the objective of the study. The procedure involves simple liquid-liquid extraction of BAZ and IS from rat serum directly into acetonitrile which is injected onto a Hypersil BDS C8 reverse phase stainless steel analytical column (4.6 × 150mm, 5µm) at 30 0 C and detected using a PDA detector set at 290nm. Mobile phase consisting of buffer (Potassium dihydrogen orthophosphate) and acetonitrile (60:40, v/v) was used at a flow rate of 1.0mL/min. Retention times of BAZ and IS were 5.852 and 4.052 min respectively. The standard curve for BAZ was linear (r 2 >0.99) in the concentration range of 0.1 - 32μg/mL. Absolute recoveries of BAZ and IS were 90 - 110% and >95% respectively from rat serum. The lower limit of detection and quantitation of BAZ was 0. 25μg/mL and 0. 5μg/mL. The intra, inter–day precisions and accuracy in terms of % error were all found within the acceptable range. Stability studies results indicated that both analyte and IS were stable on bench top, autosampler and freeze-thaw cycles.
Photoperiod-H1 (Ppd-H1) Controls Leaf Size1[OPEN]

Photoperiod-H1 controls leaf size by influencing the duration of leaf growth in barley. Leaf size is a major determinant of plant photosynthetic activity and biomass; however, it is poorly understood how leaf size is genetically controlled in cereal crop plants like barley (Hordeum vulgare). We conducted a genome-wide association scan for flowering time, leaf width, and leaf length in a diverse panel of European winter cultivars grown in the field and genotyped with a single-nucleotide polymorphism array. The genome-wide association scan identified PHOTOPERIOD-H1 (Ppd-H1) as a candidate gene underlying the major quantitative trait loci for flowering time and leaf size in the barley population. Microscopic phenotyping of three independent introgression lines confirmed the effect of Ppd-H1 on leaf size. Differences in the duration of leaf growth and consequent variation in leaf cell number were responsible for the leaf size differences between the Ppd-H1 variants. The Ppd-H1-dependent induction of the BARLEY MADS BOX genes BM3 and BM8 in the leaf correlated with reductions in leaf size and leaf number. Our results indicate that leaf size is controlled by the Ppd-H1- and photoperiod-dependent progression of plant development. The coordination of leaf growth with flowering may be part of a reproductive strategy to optimize resource allocation to the developing inflorescences and seeds.
Fast Fault Simulation for Extended Class of Faults in Scan Path Circuits

In this paper, a new very fast fault simulation method for extended class of faults is proposed. The method is based on a two-phase procedure. In the first phase, a novel parallel exact critical path fault tracing is used to determine all the "active" nodes with detectable stuck-at faults. In the second phase of the procedure, reasoning is carried out to determine the detectable physical defects based on the information about the "active" nodes and the current (or previous) logic state of the network.
Flocking cooperative driving control of four-wheel independently driving electric autonomous vehicles considering vehicular dynamic processes

This paper presents a cooperative driving system for multiple autonomous vehicles based on the flocking method. Comparison with other flocking cooperative driving systems, the dynamic characters and driving constraints of vehicle are considered. The proposed control system is divided into three levels. The first level is plan level based on the flocking algorithm and the partially-linear kinematic model of vehicle. In order to involved the driving constraints, two selection functions are built. Nonlinear model predictive control (NMPC) and linear time varying model predictive control (LVT-MPC) are adopt to construct the higher and lower levels, respectively. The higher and lower level controllers track, respectively, the reference states offered by each upper level and maintain the vehicle stability. Simulations about three four-wheel independently driving (FWID) electric autonomous vehicles driving on two different roads (straight and parabola) are implemented to evaluate the performance of the proposed control system. It is confirmed from the simulation results that the proposed control system can effectively control multiple vehicles to form a vehicular platoon in safely and preserve vehicle lateral stability and handing performance.
Identifying Traffic Differentiation in Mobile Networks

Traffic differentiation---giving better (or worse) performance to certain classes of Internet traffic---is a well-known but poorly understood traffic management policy. There is active discussion on whether and how ISPs should be allowed to differentiate Internet traffic, but little data about current practices to inform this discussion. Previous work attempted to address this problem for fixed line networks; however, there is currently no solution that works in the more challenging mobile environment. In this paper, we present the design, implementation, and evaluation of the first system and mobile app for identifying traffic differentiation for arbitrary applications in the mobile environment (i.e., wireless networks such as cellular and WiFi, used by smartphones and tablets). The key idea is to use a VPN proxy to record and replay the network traffic generated by arbitrary applications, and compare it with the network behavior when replaying this traffic outside of an encrypted tunnel. We perform the first known testbed experiments with actual commercial shaping devices to validate our system design and demonstrate how it outperforms previous work for detecting differentiation. We released our app and collected differentiation results from 12 ISPs in 5 countries. We find that differentiation tends to affect TCP traffic (reducing rates by up to 60%) and that interference from middleboxes (including video-transcoding devices) is pervasive. By exposing such behavior, we hope to improve transparency for users and help inform future policies.
Feature extraction based on fuzzy bidirectional maximum margin criterion for face recognition

This paper proposes a new method for feature extraction and recognition, namely, the fuzzy bidirectional maximum margin criterion (FBMMC) based on the maximum margin criterion and fuzzy set theory. In FBMMC, a membership grade matrix is calculated by the FKNN algorithm, and then the membership grades are incorporated into the formulation of the scatter matrices to formulate the row and column directional fuzzy scatter matrices. Using the fuzzy scatter matrix, FBMMC performs fuzzy image MMC in the row and column directions simultaneously. Experiments on the ORL and Yale face databases show the effectiveness of the proposed FBMMC based feature extraction method.
Service Fairness in Spectator Sport: The Importance of Voice and Choice on Customer Satisfaction

Abstract This study examines how perceptions of fairness mayinfluence sport spectators' satisfaction. An experimen-tal design was utilized to determine how voice(whether or not administrators solicit customers'input) and choice (whether or not customers have arole in making decisions) can alter overall satisfac-tion/dissatisfaction. Further, this study investigateshow financial inputs and the degree to which a cus-tomer considers himself/herself a fan may interact withthese effects. Researchers collected data from 346 sub-jects. Each subject received one of eight (2 voice x 2choice X 2 price) versions of a scenario representing anadverse outcome typical of a university athletic ticketpolicy. Results revealed the main effects of choice andprice each influenced satisfaction, as subjects were lessdissatisfied when students had a role in developing thepolicy and when the tickets were free. Significant dif-ferences did not exist for the main effect of voice orany of the interaction effects.
The RNA Binding Protein hnRNP Q Modulates the Utilization of Exon 7 in the Survival Motor Neuron 2 (SMN2) Gene

ABSTRACT Spinal muscular atrophy (SMA) is a recessive neuromuscular disorder caused by the homozygous loss of the SMN1 gene. The human SMN2 gene has a C-to-T transition at position +6 of exon 7 and thus produces exon 7-skipping mRNAs. However, we observed an unexpectedly high level of exon 7-containing SMN2 transcripts as well as SMN protein in testis of smn−/−SMN2 transgenic mice. Using affinity chromatography, we identified several SMN RNA-associating proteins in mouse testis and human HeLa cells, including hnRNP Q. The major hnRNP Q isoform, Q1, directly bound SMN exon 7 in the vicinity of nucleotide +6. Overexpression of hnRNP Q1 promoted the inclusion of exon 7 in SMN2, probably by activating the use of its upstream 3′ splice site. However, the minor isoforms Q2/Q3 could antagonize the activity of hnRNP Q1 and induced exon 7 exclusion. Intriguingly, enhanced exon 7 inclusion was also observed upon concomitant depletion of three hnRNP Q isoforms. Thus, differential expression of hnRNP Q isoforms may result in intricate control of SMN precursor mRNA splicing. Here, we demonstrate that hnRNP Q is a splicing modulator of SMN, further underscoring the potential of hnRNP Q as a therapeutic target for SMA.
LEARNING INVARIANT FEATURES OF TUMOR SIGNATURE

We present a novel method for automated learning of features from unlabeled image patches for classification of tumor architecture. In contrast to manually designed feature detectors (e.g., Gabor basis function), the proposed method utilizes independent subspace analysis to reconstruct a natural representation. Learning is described as a two-layer network with non-linear responses, where the second layer represents subspace structures. The technique is applied to tissue sections for characterizing necrosis, apoptotic, and viable regions of Glioblastoma Multifrome (GBM) from TCGA dataset. We show that the performance of this method is better than expert designed representation, therefore, promising a wider application of self-learning strategies for tissue characterization.
Applied Health Economics

CONTENTS PREFACE ACKNOWLEDGEMENTS INTRODUCTION PART I: DATA DESCRIPTION 1. DATA AND SURVEY DESIGN 1.1 THE HEALTH AND LIFESTYLE SURVEY (HALS) 1.2 THE BRITISH HOUSEHOLD PANEL SURVEY (BHPS) 1.3 THE EUROPEAN COMMUNITY HOUSEHOLD PANEL (ECHP) 1.4 THE CANADIAN NATIONAL POPULATION HEALTH SURVEY (NPHS) 1.5 THE WHO MULTI-COUNTRY STUDY (WHO-MCS) 1.6 OVERVIEW 2. DESCRIBING THE DYNAMICS OF HEALTH 2.1 INTRODUCTION 2.2 GRAPHICAL ANALYSIS 2.3 TABULATING THE DATA 3. INEQUALITY IN HEALTH UTILITY AND SELF-ASSESSED HEALTH 3.1 INTRODUCTION 3.2 DISTRIBUTIONAL ANALYSIS 3.3 REGRESSION ANALYSIS OF HUI: ORDINARY LEAST SQUARES (OLS) 3.4 REGRESSION ANALYSIS OF SAH: ORDERED PROBIT MODEL 3.5 COMBINED ANALYSIS OF HUI AND SAH: INTERVAL REGRESSION 3.6 OVERVIEW PART II: CATEGORICAL DATA 4. BIAS IN SELF-REPORTED DATA 4.1 INTRODUCTION 4.2 VIGNETTES 4.3 STANDARD ORDERED PROBIT MODEL 4.4 USING VIGNETTES TO CONTROL FOR HETEROGENEOUS REPORTING 5. HEALTH AND LIFESTYLES 5.1 INTRODUCTION 5.2 HALS DATA AND SAMPLE 5.3 DESCRIPTIVE ANALYSIS 5.4 ESTIMATION STRATEGY AND RESULTS 5.5 DISCUSSION PART III: SURVIVAL DATA 6. SMOKING AND MORTALITY 6.1 INTRODUCTION 6.2 BASIC CONCEPTS OF SURVIVAL ANALYSIS 6.3 THE HALS DATA 6.4 SURVIVAL DATA IN HALS 6.5 DESCRIPTIVE STATISTICS 6.6 DURATION MODELS 7. HEALTH AND RETIREMENT 7.1 INTRODUCTION 7.2 PREPARING AND SUMMARIZING THE DATA 7.3 THE ENDOGENEITY OF HEALTH 7.4 EMPIRICAL APPROACH TO DURATION MODELLING 7.5 STOCK SAMPLING AND DISCRETE-TIME HAZARD ANALYSIS 7.6 OVERVIEW PART IV: PANEL DATA 8. HEALTH AND WAGES 8.1 INTRODUCTION 8.2 BHPS SAMPLE AND VARIABLES 8.3 EMPIRICAL MODEL AND ESTIMATION 8.4 DISCUSSION 9. MODELLING THE DYNAMICS OF HEALTH 9.1 INTRODUCTION 9.2 STATIC MODELS 9.3 DYNAMIC MODELS 10. NON-RESPONSE AND ATTRITION BIAS 10.1 INTRODUCTION 10.2 TESTING FOR NON-RESPONSE BIAS 10.3 ESTIMATION 11. MODELS FOR HEALTH CARE USE 11.1 INTRODUCTION 11.2 THE POISSON MODEL 11.3 THE NEGATIVE BINOMIAL MODEL 11.4 ZERO INFLATED MODELS 11.5 HURDLE MODELS 11.6 FINITE MIXTURE/LATENT CLASS MODELS 11.7 LATENT CLASS HURDLE MODEL BIBLIOGRAPHY INDEX
Voting Behavior Analysis in the Election of Wikipedia Admins

Past work analyzing elections in online domains has largely ignored the underlying social networks present in such environments. Here, we study the Wikipedia Request for Adminship (RfA) process within the context of a social network and pinpoint several factors influencing different stages of the voting process. The facets explored are: election participation, decision making in elections, and election outcome. We find that voters tend to participate in elections that their contacts have participated in. Furthermore, there is evidence showing that an individual's decision-making is influenced by his contacts' actions. The properties of voters within the social graph were also studied, results reveal that candidates who gain the support of an influential coalition tend to succeed in elections.