Miracle-dz/UniFAR-FTUs huggingface dataset:
Compact frequency reconfigurable slot antenna with continuous tuning range for cognitive radios

The design of a compact frequency-reconfigurable slot antenna for cognitive radios is proposed in this paper. The antenna consists of a rectangular-ring slot, a T-shaped feed line, an inverted T-shaped stub and two varactors. The length of the rectangular-ring slot is designed to resonate at about 2.4 GHz. The inverted T-shaped stub is used to extend the current path, making the total size of the antenna smaller for low frequency operation. The two varactors are used to achieve continuous tuning. The proposed antenna is studied and designed using computer simulation. The simulated return loss, radiation pattern, realized peak gain and efficiency of the antenna are presented. Results show that the antenna has a wide tuning range from 2.14 to 3.33 GHz (43.51%) and is a potential candidate for use in cognitive radios.
Design of a home surveillance system based on the android platform

This paper has designed and implemented a video surveillance system based on the smart Android terminal equipment. This system consists of two parts, including the server and the client. The server is responsible for the video acquisition and the H.264 video encoding. The video transmission uses RTP protocol. The client is responsible for receiving data, and completing the decoding and playback. Because of the limited storage capacity of mobile devices, the server implements the face detection function, which only stores the critical information. This monitoring system is applied to Android phones which are used for the elderly. With the arrival of the social trend of population aging in China, customers can get information about the old people at home by using this monitoring system. It can provide emergency alert about emergency situations. This system has a good mobile performance and transmission stability. It is intelligent, convenient and practical.
Adding a diversity mechanism to a simple evolution strategy to solve constrained optimization problems

In this paper, we propose the use of a simple evolution strategy (SES) (i.e., a (1 + /spl lambda/)-ES with self-adaptation that uses three tournament rules based on feasibility) coupled with a diversity mechanism to solve constrained optimization problems. The proposed mechanism is based on multiobjective optimization concepts taken from an approach called the niched-Pareto genetic algorithm (NPGA). The main advantage of the proposed approach is that it does not require the definition of any extra parameters, other than those required by an evolution strategy. The performance of the proposed approach is shown to be highly competitive with respect to other constraint-handling techniques representative of the state-of-the-art in the area when using a set of well-known benchmarks.
An Algorithm for the Multi-Relational Boolean Factor Analysis based on Essential Elements

The Multi-Relational Boolean factor analysis is a method from the family of matrix decomposition methods which enables us an- alyze binary multi-relational data, i.e. binary data which are composed from many binary data tables interconnected via relation. In this paper we present a new Boolean matrix factorization algorithm for this kind of data, which use the new knowledge from the theory of the Boolean factor analysis, so-called essential elements. We show on real dataset that uti- lizing essential elements in the algorithm leads to better results in terms of quality and the number of obtained multi-relational factors.
Advances in Tracheal Tissue-Engineering: Evaluation of the Structural Integrity, Immunogenicity and Recellularization of a Decellularized Circumferential Long-segment Trachea for Airway Transplantation

Subglottic stenosis, malignancy and traumatic injury to the trachea require surgical resection. When defects are less than 50% of the tracheal length in adults and 1/3 in children, a circumferential resection and primary anastomosis affords excellent results. For longer lesions, on the other hand, there are no currently acceptable solutions leading to patients requiring permanent tracheostomies or palliative treatment. Tracheal replacement approaches with synthetic prosthesis and scaffolds have all led to inflammation, obstruction, mucous build-up and eventual restenosis. Tissue-engineering approaches using recipients’ own stem cells and biologic scaffolds derived from decellularized donor trachea have shown great promise. They have the potential to abrogate the need for immunosuppressive therapy. Our research focuses on three major limitations in this field including the structural integrity, the immunogenicity and the recellularization of donor tracheae.
Stereographic Methods for 3D Characterization of Dislocations

A computer program has been developed to extract three dimensional information of dislocations, interfaces, and precipitates/cavities from two transmission electron microcopy (TEM) images. This includes incorporation of crystallographic information such as dislocation line directions, dislocation slip planes and interface plane normals. Unlike the current electron tomographic methods such as weighted back projection [1, 2], these computer generated tomographic models are based on stereomicroscopy [3]. While current electron tomographic methods use tens of images, stereomicroscopy only requires two. Previous limitations of stereomicroscopy applied to TEM require a stereo-viewer or viewing by anaglyph [4, 5]. An additional limitation was the necessity to maintain constant diffraction contrast conditions [4]. With computer aided calculations, these obstacles to stereo-microscopy have been overcome and 3D models are created. Though using different diffraction conditions to create the models introduces an error due to shifting of where the dislocation appears in the images; in most instances this is not detrimental. An example is shown creating a model of dislocations and a Σ3 twin boundary in an Inconel 690 sample in Figs. 1 and 2. In Fig. 1, the two images used to produce the model are presented, crystallographic directional information from diffraction patterns for both sides of the twin boundary are also incorporated with the software. The two images have different diffraction contrast conditions and are 29.5° apart in tilt. The created model is presented in Fig. 2 and is shown from perspectives ranging from tilt values of - 60° to 60°. Using the incorporated crystallographic information, it was determined that the dislocations to the left of the twin boundary slip on the (1̅1̅1) M plane and have line directions near [101], while those on the right side of the interface slip on the (111) T plane and have line directions near [1̅21̅] T . Subscripts M and T denote matrix and
Federal Reserve Bank of Dallas Globalization and Monetary Policy Institute Simona E. Cociuba Federal Reserve Bank of Dallas

From 1980 until 2007, U.S. average hours worked increased by thirteen percent, due to a large increase in female hours. At the same time, the U.S. labor wedge, measured as the discrepancy between a representative household's marginal rate of substitution between consumption and leisure and the marginal product of labor, declined substantially. We examine these trends in a model with heterogeneous households: married couples, single males and single females. Our quantitative analysis shows that the shrinking gender wage gaps and increasing labor income taxes observed in U.S. data are key determinants of hours and the labor wedge. Changes in our model's labor wedge are driven by distortionary taxes and non-distortionary factors, such as cross-sectional differences in households' labor supply and productivity. We conclude that the labor wedge measured from a representative household model partly reflects imperfect household aggregation. Wynne and Carlos Zarazaga for their helpful comments. The views expressed in this paper are those of the authors and do not necessarily reflect the views of the Bank of Canada, the Federal Reserve Bank of Dallas or the Federal Reserve System.
Study on spectral responsivity characteristics for InP/In0.53Ga0.47As/InP p-i-n photodiodes

Measurement and modeling of photoresponse spectra are conducted for InP/In0.53 Ga0.47As/InP p-i-n photodiodes. By sophisticated calibration, simulation is fairly consistent with experiment, confirming the accuracy of our numerical model. Using the calibrated model, bias-dependent and temperature-dependent spectral responsivity characteristics are obtained. It is found that responsivity is insensitive to bias variation, but is a strong function of the temperature in the wavelength range from 0.9 to 1.6 μm. The dependence of peak responsivity on the thickness of absorption layer is then primarily studied to optimize the device structure. It is demonstrated that the optimal thickness of absorption layer is only dependent on the absorption length and hole diffusion length. Finally, in order to further generalize their correlation, an empirical formula is proposed by fitting massive simulation data.
Autoencodeurs discriminants pour la détection et la reconnaissance de véhicules en imagerie aérienne

RÉSUMÉ. Les autoencodeurs, qui permettent de modéliser des données au moyen de variétés, peuvent être utilisés dans un contexte de détection d’objets pour modéliser l’apparence des classes d’objets à détecter. La distance entre un vecteur à classer et la variété peut alors être utilisée comme une mesure de probabilité d’appartenance du vecteur à la classe. Cependant, en construisant la variété de manière à ce que les vecteurs de la classe appartiennent à la variété, rien ne garantit que des vecteurs d’autres classes ne lui appartiennent pas également. Nous cherchons à lever cette limitation en proposant un nouveau type d’autoencodeurs, les autoencodeurs discriminants, qui ont la propriété de construire des variétés éloignant les formes n’appartenant pas à la classe d’objets à détecter de la variété. Une validation expérimentale dans un contexte de détection et reconnaissance de véhicules en imagerie aérienne permet de conclure sur la pertinence de la méthode proposée.
Distal Loop Flexibility of a Regulatory Domain Modulates Dynamics and Activity of C-Terminal Src Kinase (Csk)

The Src family of tyrosine kinases (SFKs) regulate numerous aspects of cell growth and differentiation and are under the principal control of the C-terminal Src Kinase (Csk). Csk and SFKs share a modular design with the kinase domain downstream of the N-terminal SH2 and SH3 domains that regulate catalytic function and membrane localization. While the function of interfacial segments in these multidomain kinases are well-investigated, little is known about how surface sites and long-range, allosteric coupling control protein dynamics and catalytic function. The SH2 domain of Csk is an essential component for the down-regulation of all SFKs. A unique feature of the SH2 domain of Csk is the tight turn in place of the canonical CD loop in a surface site far removed from kinase domain interactions. In this study, we used a combination of experimental and computational methods to probe the importance of this difference by constructing a Csk variant with a longer SH2 CD loop to mimic the flexibility found in homologous kinase SH2 domains. Our results indicate that while the fold and function of the isolated domain and the full-length kinase are not affected by loop elongation, native protein dynamics that are essential for efficient catalysis are perturbed. We also identify key motifs and routes through which the distal SH2 site might influence catalysis at the active site. This study underscores the sensitivity of intramolecular signaling and catalysis to native protein dynamics that arise from modest changes in allosteric regions while providing a potential strategy to alter intrinsic activity and signaling modulation.
Rapid prototyping of paper-based electronics by robotic printing and micromanipulation

The fabrication techniques of paper-based electronics have been widely explored in the past two decades, contributing to the wide application of these promising devices in a variety of fields. In this paper, we report a new rapid prototyping technique for constructing paper-based field-effect transistor (FET) biosensors integrating rolled-up semiconductor microtubes. Leveraging robotic printing and micromanipulation techniques, silver ink electrodes are printed on paper and pre-synthesized microtubes are transferred onto a pair of printed electrodes to form a complete FET. Compared with existing fabrication techniques of paper-based electronics that purely rely on printing, the proposed technique is more versatile in that it can rapidly integrate high-performance semiconductor microtubes onto paper substrates. To improve the printing uniformity, a time-shift mechanism is proposed to compensate the ink under-and over-dispersion at the beginning and end of the printing process, repsectively. To realize automated microtube pick-up and transfer, image processing and motion control algorithms are developed to detect positions of the end-effector (a glass needle) and the microtube, and to control motions of the glass needle with minimized human intervention. We demonstrate the effectiveness of the technique by fabricating the designed paper-based devices using bimetallic microtubes and measure their current-voltage characteristics.
Tannakian Fundamental Groups Associated to Galois Groups

The goal of this paper is to give background and motivation for several conjectures of Deligne and Goncharov concerning the action of the absolute Galois group on the fundamental group of the thrice punctured line, and to sketch solutions, complete and partial, of several of them. A major ingredient in these is the theory of weighted completion of pro nite groups. An exposition of weighted completion from the point of view of tannakian categories is included.
Do Financial Incentives Induce More Online Participatory Behaviors?

Online community-based Question and Answer (Q&A) websites is popular in recent years. The main challenge for Q&A websites is how to motivate participations. Using a natural experimental dataset collected from a Chinese Q&A site, we apply difference-indifferences model with propensity score matching to evaluate the effect of emergency of a paid-for knowledge sharing activity on changes in the free sharing behaviors and social activities. Our results show that the paid-for activity allows users to share more knowledge freely and build more social ties in the site. The results suggest that the financial incentive can increase users’ participatory behaviors significantly.
Censusing marine eukaryotic diversity in the twenty-first century

The ocean constitutes one of the vastest and richest biomes on our planet. Most recent estimations, all based on indirect approaches, suggest that there are millions of marine eukaryotic species. Moreover, a large majority of these are small (less than 1 mm), cryptic and still unknown to science. However, this knowledge gap, caused by the lack of diagnostic morphological features in small organisms and the limited sampling of the global ocean, is currently being filled, thanks to new DNA-based approaches. The molecular technique of PCR amplification of homologous gene regions combined with high-throughput sequencing, routinely used to census unculturable prokaryotes, is now also being used to characterize whole communities of marine eukaryotes. Here, we review how this methodological advancement has helped to better quantify the magnitude and patterns of marine eukaryotic diversity, with an emphasis on taxonomic groups previously largely overlooked. We then discuss obstacles remaining to achieve a global understanding of marine eukaryotic diversity. In particular, we argue that 18S variable regions do not provide sufficient taxonomic resolution to census marine life, and suggest combining broad eukaryotic surveys targeting the 18S rRNA region with more taxon-focused analyses of hypervariable regions to improve our understanding of the diversity of species, the functional units of marine ecosystems. This article is part of the themed issue ‘From DNA barcodes to biomes’.
Association rule sharing model for privacy preservation and collaborative data mining efficiency

The disclosure of information and its misuse in Privacy Preserving Data Mining (PPDM) systems is a concern to the parties involved. In PPDM systems data is available amongst multiple parties collaborating to achieve cumulative mining accuracy. The vertically partitioned data available with the parties involved cannot provide accurate mining results when compared to the collaborative mining results. To overcome the privacy issue in data disclosure this paper describes a Key Distribution-Less Privacy Preserving Data Mining (KDLPPDM) system in which the publication of local association rules generated by the parties is published. The association rules are securely combined to form the combined rule set using the Commutative RSA algorithm. The combined rule sets established are used to classify or mine the data. The results discussed in this paper compare the accuracy of the rules generated using the C4.5 based KDLPPDM system and the C5.0 based KDLPPDM system using receiver operating characteristics curves (ROC).
Parallel I/O, analysis, and visualization of a trillion particle simulation

Petascale plasma physics simulations have recently entered the regime of simulating trillions of particles. These unprecedented simulations generate massive amounts of data, posing significant challenges in storage, analysis, and visualization. In this paper, we present parallel I/O, analysis, and visualization results from a VPIC trillion particle simulation running on 120,000 cores, which produces ~30TB of data for a single timestep. We demonstrate the successful application of H5Part, a particle data extension of parallel HDF5, for writing the dataset at a significant fraction of system peak I/O rates. To enable efficient analysis, we develop hybrid parallel FastQuery to index and query data using multi-core CPUs on distributed memory hardware. We show good scalability results for the FastQuery implementation using up to 10,000 cores. Finally, we apply this indexing/query-driven approach to facilitate the first-ever analysis and visualization of the trillion particle dataset.
Renegade gaming: practices surrounding social use of the Nintendo DS handheld gaming system

Today's handheld gaming systems allow players to engage in multiplayer games via ad-hoc, wireless networking. They are also now sufficiently commonplace that it is possible to study how portability and ad-hoc wireless networking have affected the social gaming practices of owners of these systems. In this paper, we report findings from a qualitative study investigating the collocated multiplayer gaming practices of Nintendo DS owners. Based on interviews of nine DS owners and observations of three organized gaming events, we identified three major themes surrounding the social, multiplayer gaming practices of Nintendo DS users: renegade gaming, or the notion that users reappropriate contexts traditionally hostile to game play; pragmatic and social barriers to the formation of ad-hoc pick-up games, despite a clear desire for multiplayer, collocated gaming; and private gaming spheres, or the observation that the handheld device's form factor creates individual, privatized gaming contexts within larger social contexts. These findings lead to a set of implications for the design of future handheld gaming systems.
Role-Playing Simulation as an Educational Tool for Health Care Personnel: Developing an Embedded Assessment Framework

Simulation- and video game-based role-playing techniques have been proven effective in changing behavior and enhancing positive decision making in a variety of professional settings, including education, the military, and health care. Although the need for developing assessment frameworks for learning outcomes has been clearly defined, there is a significant gap between the variety of existing multimedia-based instruction and technology-mediated learning systems and the number of reliable assessment algorithms. This study, based on a mixed methodology research design, aims to develop an embedded assessment algorithm, a Knowledge Assessment Module (NOTE), to capture both user interaction with the educational tool and knowledge gained from the training. The study is regarded as the first step in developing an assessment framework for a multimedia educational tool for health care professionals, Anatomy of Care (AOC), that utilizes Virtual Experience Immersive Learning Simulation (VEILS) technology. Ninety health care personnel of various backgrounds took part in online AOC training, choosing from five possible scenarios presenting difficult situations of everyday care. The results suggest that although the simulation-based training tool demonstrated partial effectiveness in improving learners' decision-making capacity, a differential learner-oriented approach might be more effective and capable of synchronizing educational efforts with identifiable relevant individual factors such as sociobehavioral profile and professional background.
Convolutional Neural Networks over Tree Structures for Programming Language Processing

Programming language processing (similar to natural language processing) is a hot research topic in the field of software engineering; it has also aroused growing interest in the artificial intelligence community. However, different from a natural language sentence, a program contains rich, explicit, and complicated structural information. Hence, traditional NLP models may be inappropriate for programs. In this paper, we propose a novel tree-based convolutional neural network (TBCNN) for programming language processing, in which a convolution kernel is designed over programs' abstract syntax trees to capture structural information. TBCNN is a generic architecture for programming language processing; our experiments show its effectiveness in two different program analysis tasks: classifying programs according to functionality, and detecting code snippets of certain patterns. TBCNN outperforms baseline methods, including several neural models for NLP.