Miracle-dz/UniFAR-FTUs huggingface dataset:
A Balanced Branch-Line Coupler With Arbitrary Power Division Ratio

In this paper, a balanced branch-line coupler with an arbitrary power division ratio is proposed. Configured by four quarter- and half-wavelength microstrip lines, the proposed design achieved desired functions of branch-line coupler for differential-mode signal and common-mode suppression with the merits of wide bandwidth, a simple configuration and a design method, low insertion loss, and low cost. The even- and odd-mode equivalent circuits combining with the standard and mixed-mode S-parameters are adopted to derive the analytical equations. Three prototypes with the power division ratios of 1:1, 2:1, and 4:1 are designed to verify the theoretical prediction. The prototypes with the size of <inline-formula> <tex-math notation="LaTeX">$0.52~\lambda _{g} \times 0.5~\lambda _{g}$ </tex-math></inline-formula> (<inline-formula> <tex-math notation="LaTeX">$\lambda _{g}$ </tex-math></inline-formula> is the guided wavelength at 1.86 GHz) exhibits the operating bandwidths (<inline-formula> <tex-math notation="LaTeX">$\vert S_{\mathrm {dd}\mathrm {AA/DA}}\vert $ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$\vert S_{\mathrm {cc}\mathrm {DA}}\vert < -15$ </tex-math></inline-formula> dB) of 4.3%, 7.3%, and 10.2% and the minimum insertion losses of 0.45, 0.25, and 0.1 dB, respectively, while the isolation and common-mode suppression are higher than 20 dB within the whole passband.
Intense femtosecond laser filamentation: physics and applications

S. L. Chin, W. Liu, S. A. Hosseini, Q. Luo, F. Théberge, N. Aközbek, A. Becker, V. P. Kandidov and O. G. Kosareva Centre d’Optique, Photonique et Laser (COPL) & Départe ment de Physique, de Génie Physique et d’Optique Université Laval, Québec, Qc. G1K 7P4, C anada. Timedomain Corp., Huntsville, Alabama, USA Max-Planck Institute for the Physics of Complex System , Dresden, Germany International Laser Center, Department of Physics, Mos cow State University, Moscow, Russia
Clinical and laboratory features that distinguish dengue from other febrile illnesses in endemic populations

Objective Clinicians in resource‐poor countries need to identify patients with dengue using readily‐available data. The objective of this systematic review was to identify clinical and laboratory features that differentiate dengue fever (DF) and/or dengue haemorrhagic fever (DHF) from other febrile illnesses (OFI) in dengue–endemic populations.
Rendering Relativistic Effects in Transient Imaging

We present a real-time framework which allows interactive visualization of relativistic effects for time-resolved light transport. We leverage data from two different sources: real-world data acquired with an effective exposure time of less than 2 picoseconds, using a novel imaging technique termed femto-photography, and a transient renderer based on ray-tracing. We overcome the two main limitations of existing models for relativistic effects, namely the assumption that surface irradiance is constant over time, and that all frames of reference are purely translational. We explore the effects of time dilation, light aberration, frequency shift and radiance accumulation, as an unconstrained virtual camera explores a reconstructed 3D scene depicting dynamic illumination. We modify existing models of these relativistic effects to take into account the time-resolved nature of our data, and introduce the first model of relativistic sensor rotation in computer graphics.
I-ViDE: An Improved Vision-Based Approach for Deep Web Data Extraction

Deep Web contents are accessed by queries submitted to Web databases and the returned data records are enwrapped in dynamically generated Web pages (they will be called deep Web pages in this paper). Extracting structured data from deep Web pages is a challenging problem due to the underlying intricate structures of such pages. Until now, a large number of techniques have been proposed to address this problem, but all of them have inherent limitations because they are HTML language dependent . Visual features are not taken into consideration. All previous methods are mostly dependent on table tags. A Vision based approach for web data extraction has overcome the limitations of previous work by utilizing some interesting common visual features on the web page. But still this approach has one drawback that it can process web page containing only one data region. Due to processing of one data region it reduces the precision and recall rate. As precision give us the rate that how many correct data records are extracted from relevant data records and recall give us the rate that how many relevant data records are extracted from overall data records. The proposed ImprovedViDE approach handles multi data-region in deep web pages which can improve the precision rate and recall rate.
Augmenting UAV autonomy

The addition of a camera to an unmanned aerial vehicle (UAV) allows the vehicle to perform a variety of tasks autonomously. This paper presents UAV vision systems that were developed and tested at the Georgia Institute of Technology to perform three of these tasks on the GTMax unmanned research helicopter. The first system demonstrates a vision-based navigation system. The second system demonstrates an automated search routine for stationary ground targets. The third system demonstrates a ground target tracking architecture for mobile targets
Improved Routing in the Data Centre Networks HCN and BCN

We present improved one-to-one routing algorithms in the data centre networks HCN and BCN, in that our routing algorithms result in much shorter paths when compared with existing algorithms. We also present a much tighter analysis of HCN and BCN by observing that there is a very close relationship between the data centre networks HCN and the interconnection networks known as WK-recursive networks. We use existing results for WK-recursive networks to prove the optimality of our new routing algorithm for HCN and also to significantly aid the implementation of our routing algorithms in both HCN and BCN.
International Journal of Advanced Robotic Systems Wall Climbing Robot Using Electrostatic Adhesion Force Generated by Flexible Interdigital Electrodes Regular Paper

Electrostatic adhesion technology has broad application prospects on wall climbing robots because of its unique characteristics compared with other types of adhesion technologies. A double tracked wall climbing robot based on electrostatic adhesion technology is presented including electrode panel design, mechanical structure design, power supply system design and control system design. A theoretical adhesion model was established and the electrostatic potential and field were expressed by series expansions in terms of solutions of the Laplace function. Based on this model, the electrostatic adhesion force was calculated using the Maxwell stress tensor formulation. Several important factors which may influence the electrostatic adhesion force were analysed and discussed by both FEM simulation and theoretical calculation. In addition, experiments on the adhesion performance of the electrode panel and the climbing performance of the robot on various wall materials were carried out. Both the simulation and experiment results verify the feasibility of electrostatic adhesion technology being applied on wall climbing robots. The theoretical model and calculation method for the electrostatic adhesion force proposed in this paper are also justified.
The Power of Speech: Australian Prime Ministers Defining the National Image

The subjects of this book are five fascinating prime ministers - Gough Whitlam, Malcolm Fraser, Bob Hawke, Paul Keating and John Howard - and how they view Australia. Until the 1960s, our nation believed itself to be British. Then, during a decade of momentous change, this concept of our national identity collapsed. It was buried by the forces of cultural and political renewal; by disturbing and exciting developments in Asia; and by a dawning recognition that the global era of colonial power was over. The result was a crisis of national meaning reflected in public debates about multiculturalism, Australia's relationships with its Asian neighbours, the dispossession of indigenous Australians, and the nation's involvement in war. In recent years, our political leaders have played a conspicuous role in the controversy. In "The Power of Speech", James Curran explores the end of the idea of British Australia, and how successive prime ministers have attempted to assert personal, and often competing, visions of Australian nationalism in its place. This highly original study of prime ministerial rhetoric exposes the sources of our most powerful leaders' beliefs about Australia.
Hybrid rhinoplasty: beyond the dichotomy of rhinoplasty techniques

SUMMARY Although rhinoplasty and the development of facial aesthetic criteria can be traced to several millennia, contemporary techniques have passed through a rapid evolutionary process in the past century 1 2. Although understanding human anatomy and the consequences of surgical excision occupied the minds of the founders of rhinoplasty, the process moved towards preservation of supporting structures, and maintaining the physiological functions of the nose. Initially, this endonasal approach created its own series of problems due to excessive tissue removal. External rhinoplasty provided a new impetus for growth in this field, and since its inception, has swung the pendulum of reconstruction firmly into its own sphere of influence. However, as no rhinoplasty technique holds all the answers, hybrid rhinoplasty seeks to combine the best achievements of 20th century rhinoplasty, from all schools of thought, in order to provide a safe, sensible and planned approach to the most demanding operation for the facial plastic surgeon.
Uncovering Discriminative Features in Text and Images

This report documents our attempts to apply feature selection in solving pattern classification problems. The generality of the approach is tested on 2 data domains: text and images. In the former, the problem is to classify a text document from a subset of the well-known Reuters21578 news-wire collection [1] into a number of predefined categories. Similarly for the image domain, images containing objects from several categories are taken from the PASCAL data set [2], and the task is to correctly recognize the object class visually present in the images. We pick two different attribute-ranking algorithms, Chi-Square (CHI) and Gain-Ratio (GR), and examine their effect on classification performance using three different classification algorithms (NaïveBayes, SMO-SVM and Decision-Tree). We see the CHI method and GR method as approaching feature selection from a very different approach. While GR applies information theory to analyze the mutual information between features and target categories, CHI attempts to select discriminative features from the original feature-set. All experiments are run on the WEKA software package [3], using the therein implementations of all above algorithms. From the results, we make two key observations. Firstly, there is a performance-efficiency tradeoff. That is, although classification efficiency is improved because of the reduced dimensionality, there is no improvement in the overall classification results. Secondly, in the image domain, our postulate that the CHI method is a discriminative feature selection method is validated when we notice that the extracted features correspond to visually important areas such as eye, mouth, etc.
How Now IR

How Now, IR? Intensified MA they resumed with a vengeance. In fact, the crash turned out to be good for the raiders: It beat down the price of many companies to the point of making them bargains. "Were the market doing its job, the sum of the parts would equal the whole," says Ernie Sando, senior vice president of Georgeson & Company, a New York investor relations and proxy solicitation firm. "But it doesn't. Taking a company apart can be much more lucrative than keeping it together. " Investor relations practitioners must be ever aware, Sando says, that if their company is undervalued they are a takeover target. To help their companies get their stock priced fairly, he says, IR practitioners must construct a clearly defined message about the goals of top management for increasing its stock value and must constantly work to get this message out. For Sando, this means communicating in both good times and bad. "Companies have a tendency to clam up when times are tough," he observes. "Instead, they should explain to their investors, to the market, what they're doing to change things. You don't want to be in a situation where investors hear from you only when you need them, say in a fight for control. " Robert D. Ferris, executive vice president of Doremus Public Relations, asserts that insufficient communication, not the market itself, is at fault when a company is undervalued. "The market values a company based on its understanding of that company's communicable assets and liabilities and its prospects," he says. More than ever, IR professionals also must have their pulse on the types of stockholders their companies have, the experts say. They must understand not only who owns stock, but also their true expectations and objectives. Congress revving up The unabating run of takeover fever is having an impact on IR professionals in other ways, as well. It has brought the attention of Congress to the issue, which may well lead to increased regulation some time down the pike. The House Telecommunications and Finance Committee and the Ways and Means Committee, among others, are now holding hearings to see what new rules should be put into play. "The main thing that has Congress worried is debt leveraging," notes Lou Thompson, president of the National Investor Relations Institute (NIRI). …
Visual Tracking with Reliable Memories

In this paper, we propose a novel visual tracking framework that intelligently discovers reliable patterns from a wide range of video to resist drift error for long-term tracking tasks. First, we design a Discrete Fourier Transform (DFT) based tracker which is able to exploit a large number of tracked samples while still ensures real-time performance. Second, we propose a clustering method with temporal constraints to explore and memorize consistent patterns from previous frames, named as "reliable memories". By virtue of this method, our tracker can utilize uncontaminated information to alleviate drifting issues. Experimental results show that our tracker performs favorably against other state-of-the-art methods on benchmark datasets. Furthermore, it is significantly competent in handling drifts and able to robustly track challenging long videos over 4000 frames, while most of others lose track at early frames.
Enhancing the Accuracy of Platelet to Lymphocyte Ratio after Adjustment for Large Platelet Count: A Pilot Study in Breast Cancer Patients

Background. The objective of our study is to investigate the potential effect of adjusting preoperative platelet to lymphocyte ratio, an emerging biomarker of survival in cancer patients, for the fraction of large platelets. Methods. A total of 79 patients with breast neoplasias, 44 with fibroadenomas, and 35 with invasive ductal carcinoma were included in the study. Both conventional platelet to lymphocyte ratio (PLR) and the adjusted marker, large platelet to lymphocyte ratio (LPLR), were correlated with laboratory and histopathological parameters of the study sample. Results. LPLR elevation was significantly correlated with the presence of malignancy, advanced tumor stage, metastatic spread in the axillary nodes and HER2/neu overexpression, while PLR was only correlated with the number of infiltrated lymph nodes. Conclusions. This is the first study evaluating the effect of adjustment for large platelet count on improving PLR accuracy, when correlated with the basic independent markers of survival in a sample of breast cancer patients. Further studies are needed in order to assess the possibility of applying our adjustment as standard in terms of predicting survival rates in cancer.
2009 2nd International Conference on Power Electronics and Intelligent Transportation System an Optimal Control Strategy to Alleviate Sub- Synchronous Resonance in Vsc-hvdc Systems

The VSC-HVDC can enhance the performance of power systems and plays a major role in the dynamic stability of power systems. In addition VSC-HVDC controller can be utilized to mitigate torsional torque and prevent sub-synchronous resonance (SSR) efectively. In this paper a controller has been designed for VSC-HVDC to suppress sub-synchronous oscillations. The Control methodology that is employed as sub-synchronous damping controller is based on implemented direct power control (DPC). Reducing SSR and increasing dynamic stability of power system including VSC-HVDC are discussed through simulations. Digital simulation has been carried out via MATLAB software to analyze torsional torque of turbine generator shaft and rotor speed in the case system which consists ofVSC-HVDC and series compensated line. particular operation point. A YSC-HYDC based on Fuzzy Controller to mitigate Oscillation of AC/DC Power System is used [10]. Direct power control (DPC) has been proposed as a method based on instantaneous direct active and reactive power control. [11] In this study a high performance and a full objective method based on DPC has been presented to enhance the transient and dynamic stability of power system. In this method, active and reactive power have been controlled simultaneously and the SSR has been mitigated effectively. Simulation and study has been performed on a power system including YSC-HYDC in parallel with series compensated AC line. These rotor currents result in sub-synchronous armature voltage components which may enhance sub-synchronous armature currents to produce SSR [5]. Where X c and X Lr are the capacitive reactance and the total inductive reactance of the electric system, respectively. These currents result in rotor torques and currents at the complementary frequency I, as: (2) (3) (1) Sub-synchronous resonance occurs in a power system network when the mechanical system of the generator alters energy with the electrical network [12]. Series compensation in the line results in excitation of sub-synchronous currents at an electrical frequency (the natural resonance frequency for the electrical system) given by: Series compensation of long lines using fixed capacitors is an economic solution for the problem of enhancing power transfer and improving system stability. However a major concern associated with fixed series capacitors is the sub-synchronous resonance (SSR) phenomenon which arises as a result of the interaction between the compensated transmission line and turbine generator shaft. These results in excessively high oscillatory torque on machine shafts cause their fatigue and damage in many cases. [1,2 and 3] In recent …
An Iterative Scheme of Stopping Set Enlargement in The Design of Short-Length Irregular LDPC Codes

Small stopping sets have been proved to be harmful to the error floor performance of a finite-length irregular low-density parity-check (LDPC) code over the binary erasure channel (BEC). On the additive white gaussian noise (AWGN) channel, small stopping sets are expected to have a similar effect. This paper proposes an algorithm that iteratively removes the small-stopping-set-inducing patterns from the graph of a randomly generated irregular LDPC code by means of node exchange, aiming at enlarging the average size of stopping sets in this code. Computer simulation results show that the short-length LDPC codes after our processing achieve a considerable performance improvement in the low-BER region compared to the randomly generated codes.
Sets for the Automatic Detection of Prosodic Prominence

This work presents a series of experiments which explore the utility of various acoustic features in the classification of words as prosodically prominent or nonprominent. For this set of experiments, a 35,009 word subset of the Buckeye Speech Corpus was used [12]. This subset is divided across fifty-four segments of the Buckeye Speech Corpus. In a previous study, the words were transcribed for prosodic prominence by several teams, of sixteen naive native-speakers of English each, using the method Rapid Prosody Transcription developed in our prior work [10]. In the present study, we mapped the quasi-continuous valued prosody labels from the transcribed portion of the corpus to a binary prominence label. If at least one rater deemed a word prominent, it was labeled ‘prominent’ or otherwise it was labeled ‘nonprominent. ’ 15,955 were labeled ‘prominent,’ yielding a baseline chance level of prominence assignment at 54.4%. 90% of the words were used in training the learning algorithms and the other 10% was used in testing. Several acoustic correlates are associated with prominence, including F0, duration, and intensity [1, 2, 4, 17, 3, 6, 15, 16, 11, 7, 14, 18]. The relative contribution that these play in speech recognition and in recognition by humans is well discussed in the literature [5, 18, 9, 13]. In the first set of experiments, Support Vector Machines (SVM) were used. SVMs were chosen because the task is a vector-input, class-label-output task, and SVMs do well at such tasks. Here, a set of 36 features was used, including both features known to be correlated to prominence and features not known to be correlated, such as the length of the pause after a word. The ten best-performing features were, in order, the minimum energy of the final vowel normalized by phones, the ratio of the energy of the current word to the next word, the post-word pause duration, the word duration normalized by phones, the maximum energy of the last vowel normalized by phone-class, the minimum value of f0 in the following word, the maximum energy of the stressed vowel normalized by phone-class, the stressed vowel duration normalized by phone-class, the minimum energy of the next word, and the maximum energy of the word. The classification accuracy was tested with related features clustered together into four groups: pause, duration, intensity, and pitch. The results are reported in table 1 For the second set of experiments, Hidden Markov Models (HMM) with three hidden
The choroid plexus—a multi-role player during infectious diseases of the CNS

The choroid plexus (CP) is the source of cerebrospinal fluid (CSF) production and location of the blood-CSF barrier (BCSFB), which is constituted by the epithelial cells of the CP. Several infectious pathogens including viruses, bacteria, fungi and parasites cross the BCSFB to enter the central nervous system (CNS), ultimately leading to inflammatory infectious diseases like meningitis and meningoencephalitis. The CP responds to this challenge by the production of chemokines and cytokines as well as alterations of the barrier function of the BCSFB. During the course of CNS infectious disease host immune cells enter the CNS, eventually contributing to the cellular damage caused by the disease. Additional complications, which are in certain cases caused by choroid plexitis, can arise due to the response of the CP to the pathogens. In this review we will give an overview on the multiple functions of the CP during brain infections highlighting the CP as a multi-role player during infectious diseases of the CNS. In this context the importance of tools for investigation of these CP functions and a possible suitability of the CP as therapeutic target will be discussed.