Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and analysis of RF CMOS transceivers for wireless applications in 0.18-µm CMOS Technology

The paper investigates the feasibility of the latest CMOS technology for the design and analysis of the emerging 60-GHz wireless applications. Recent developments in millimeter-wave CMOS systems have begun to address the integration of building blocks to form transceivers. With the availability of 7 GHz of unlicensed spectrum around 60 GHz, there is growing interest for new consumer applications requiring very high data-rate wireless transmission. In addition to these generic challenges and high frequency operation and a low-noise design, transceivers operating at these frequencies must deal with three critical issues related to the local oscillator generation, division, and distribution. It is therefore important to develop “synthesizer friendly” transceivers so as to alleviate these issues. A “half-RF” architecture incorporating a polyphase filter in the signal path to allow the use of a local oscillator frequency equal to half the input frequency. The receiver performs 90° phase shift and two downconversion steps to produce quadrature baseband outputs. The transmitter upconverts the quadrature baseband signals in two steps, applies the results to a polyphase filter, and sums its outputs. The transceiver operating at 1.8 V power supply & achieves a noise figure of 15.8 dB at 60 GHz and consumes 135mW of power.
A robust feature matching algorithm based on CSIFT descriptors

Feature matching is an essential and crucial step in image registration procedure. Since accurate and efficient image registration approach is still a challenging problem in image processing, with the aim of handling this kind of problem, this paper presents a robust feature matching algorithm based on CSIFT descriptors. Comparing with the traditional feature descriptors, CSIFT (colored invariant feature transform) descriptors can make use of the color information of images, which prove to be more efficient and robust in feature matching. After describing CSIFT descriptors, we proposed an improved feature matching algorithm. Inlier features with the highest frequency are selected as the input to calculate the matching Homography Matrix. Experimental results indicate that our method is effective and robust.
Comparison and Investigation of Re-planning Methods for Software Releases

Release planning involves decision making on assigning features to sequence releases in incremental software development. Having a good plan for new release can improve the future of software. There are several release planning methods and approaches for release planning and some of them are based on modification and changing the delivered releases or re-planning of the product. It means based on old releases and features utilized in them, new releases are generated and companies start to re-plan for improving their old product. In this paper, we are going to investigate release planning methods that are based on re-planning for a new release. We evaluated and investigated two release planning methods, PARSEQ and Lightweight, and compared the processing models that are based on re-planning.
Classification of Segmented Images for Analysis Using Hybrid Methodology

With natural and aerial images, besides the absence of exact damage, images are of a relatively poor quality and then analysis in general is complex due to data composition, described in terms of speckle formation. Due to discolor creation and reduction objects, it is complicated to correctly divide the ultrasound image to identify concerned objects with the exact location and shape. There are a huge number of diverse approaches are used on segmenting an images freshly engaged. Seeded region growing method is mostly applied for image segmentation based on region. But this method fails to process since the region at the edge of the image is not processed well. To overcome this issue, the previous work presented Multitude Regional Texture Extraction for Image Segmentation of Aerial and Natural Images. Based on multitude region, extraction of texture is to be done for image segmentation. In this work, we plan to present a hybrid methodology for classification of segmented images in an efficient manner. A hybrid unsupervised/supervised classification methodology is applied to aerial and natural images and described briefly. The hybrid method varies from the conservative classification intellect to that the clustering algorithm is useful to a set of regions that are acquired from the segmented image. The geometric parameters of these regions are utilized to categorize based on the results attained. After the prior step, some regions are chosen to be training data sets on a supervised categorization step. An evaluation is done among the pixel per pixel classification and the region classification. The experimental evaluation is conducted with training samples of natural and aerial images to show the performance of the proposed classification of segmented images for analysis using hybrid methodology and compare the results with an existing seeded region growing model and Multitude Regional Texture Extraction for Image Segmentation.
The Growth of Government: A Public Choice Perspective

La dimension de la administracion publica en comparacion con el sector privado ha crecido en todos los paises democraticos desarrollados. Dicho crecimiento ha sido especialmente marcado desde la segunda guerra mundial. Si bien la magnitud de la administracion publica se expandio en todos los paises, a principios del decenio de los ochenta existia una amplia gama de dimensiones relativas. En este trabajo se analizan las causas de la expansion de la administracion publica y la disparidad de su dimension relativa en los distintos paises. El analisis se centra en las explicaciones sobre la dimension de la administracion publica que surgen de la literatura sobre la eleccion publica. Las diferentes explicaciones sobre la dimension y expansion de la administracion publica pueden agruparse en cinco categorias basicas: 1) la administracion publica brinda bienes publicos y elimina los efectos externos, 2) la administracion publica redistribuye el ingreso y la riqueza, 3) los grupos de presion inducen la expansion de la administracion publica, 4) la burocracia gubernamental induce el crecimiento de la administracion publica y 5) la ilusion fiscal favorece el crecimiento de la administracion publica. A su vez, estas cinco explicaciones sobre el crecimiento y dimension relativa de la administracion publica se dividen en dos conceptos del Estado claramente diferenciables. El primero ve al Estado como ejecutor de las preferencias de los ciudadanos. Estas preferencias pueden ser las del elector medio surgidas de la aplicacion de la norma sobre el predominio de la mayoria o las de los grupos de presion surgidas de una influencia mutua mas compleja entre los grupos de presion y la politica electoral. La segunda considera al Estado, personificado por los dirigentes politicos y la burocracia estatal, capaz de imponer los resultados politicos debido, en parte, a la impotencia que provoca la ilusion fiscal en los ciudadanos. Aunque ninguna de las cinco explicaciones sobre la expansion de la administracion publica presenta fundamentos logicos y empiricos irrefutables, todas resultan validas hasta cierto punto.
Digital literacy practices among youth populations: A review of the literature

Digital literacy includes a range of abilities from basic computing skills to the creation of multimodal texts. This literature review examines eleven articles that track the digital literacy practices of youth populations or individuals between the ages of 12 and 17. It describes the practices of these individuals through three perspectives, including: studies centered on general youth populations, research discussing innovative programs targeting students from low income families, and articles tracking digital literacy competencies among young immigrant learners. Foremost, the articles highlight young people’s efforts to express themselves through their own online literacy. To this end it remains essential that educators correlate students’ digital literacy habits in their personal lives to instructional practices in school.
Texture analysis with the Volterra model using conjugate gradient optimisation

Texture is an important characteristic di erentiating objects or regions of interest in an image. A variety of approaches to texture analysis has previously been proposed; the approach in this paper is from the stochastic eld, whereby a two-dimensional Volterra model is used to represent a texture eld. Statistical moments are introduced as a means of determining the Volterra model generator for an unknown texture, with a view to using this model subsequently for recognition. However, an overdetermined set of equations results. These can be solved in the least squares sense using a conjugate gradient descent method with multiple restarts.
J2EE-based Online Video Retrieving System Design and Implementation

Most video contents on the Internet are regularly watched online, but it is also necessary for users to download them to local storage for further processing. Currently, many online video websites provide their own service for website specific video retrieving, it is difficult to build an integrated web retrieving system adapted for all online video website due to different protocols. This paper presents an online video address discovery and retrieving system which supports multiple online video protocols and formats, parallel retrieving task scheduling, vast amounts of unstructured data and video file storage management, it is suitable for integration in high load, large scale enterprise applications to provide video retrieving service.
Perceived locus of causality and internalization: examining reasons for acting in two domains.

Theories of internalization typically suggest that self-perceptions of the "causes" of (i.e. reasons for) behavior are differentiated along a continuum of autonomy that contains identifiable gradations. A model of perceived locus of causality (PLOC) is developed, using children's self-reported reasons for acting. In Project 1, external, introjected, identified, and intrinsic types of reasons for achievement-related behaviors are shown to conform to a simplex-like (ordered correlation) structure in four samples. These reason categories are then related to existing measures of PLOC and to motivation. A second project examines 3 reason categories (external, introject, and identification) within the domain of prosocial behavior. Relations with measures of empathy, moral judgement and positive interpersonal relatedness are presented. Finally, the proposed model and conceptualization of PLOC are discussed with regard to intrapersonal versus interpersonal perception, internalization, cause-reason distinctions, and the significance of perceived autonomy in human behavior.
JSClassFinder: A Tool to Detect Class-like Structures in JavaScript

With the increasing usage of JavaScript in web applications, there is a great demand to write JavaScript code that is reliable and maintainable. To achieve these goals, classes can be emulated in the current JavaScript standard version. In this paper, we propose a reengineering tool to identify such class-like structures and to create an object-oriented model based on JavaScript source code. The tool has a parser that loads the AST (Abstract Syntax Tree) of a JavaScript application to model its structure. It is also integrated with the Moose platform to provide powerful visualization, e.g., UML diagram and Distribution Maps, and well-known metric values for software analysis. We also provide some examples with real JavaScript applications to evaluate the tool.
Age-Dependent Impairment of Eyeblink Conditioning in Prion Protein-Deficient Mice

Mice lacking the prion protein (PrPC) gene (Prnp), Ngsk Prnp 0/0 mice, show late-onset cerebellar Purkinje cell (PC) degeneration because of ectopic overexpression of PrPC-like protein (PrPLP/Dpl). Because PrPC is highly expressed in cerebellar neurons (including PCs and granule cells), it may be involved in cerebellar synaptic function and cerebellar cognitive function. However, no studies have been conducted to investigate the possible involvement of PrPC and/or PrPLP/Dpl in cerebellum-dependent discrete motor learning. Therefore, the present cross-sectional study was designed to examine cerebellum-dependent delay eyeblink conditioning in Ngsk Prnp 0/0 mice in adulthood (16, 40, and 60 weeks of age). The aims of the present study were two-fold: (1) to examine the role of PrPC and/or PrPLP/Dpl in cerebellum-dependent motor learning and (2) to confirm the age-related deterioration of eyeblink conditioning in Ngsk Prnp 0/0 mice as an animal model of progressive cerebellar degeneration. Ngsk Prnp 0/0 mice aged 16 weeks exhibited intact acquisition of conditioned eyeblink responses (CRs), although the CR timing was altered. The same result was observed in another line of PrPc-deficient mice, ZrchI PrnP 0/0 mice. However, at 40 weeks of age, CR incidence impairment was observed in Ngsk Prnp 0/0 mice. Furthermore, Ngsk Prnp 0/0 mice aged 60 weeks showed more significantly impaired CR acquisition than Ngsk Prnp 0/0 mice aged 40 weeks, indicating the temporal correlation between cerebellar PC degeneration and motor learning deficits. Our findings indicate the importance of the cerebellar cortex in delay eyeblink conditioning and suggest an important physiological role of prion protein in cerebellar motor learning.
Automatic Labeling and Phonetic Assessment for an Unknown Asian Language: The Case of the "Mo Piu" North Vietnamese Minority (early results)

This paper aims at assessing the automatic labeling of an undocumented, unknown and underresourced unwritten language (Mo Piu) of the North Vietnam, by an expert phonetician. For this task, we chose 5 languages in different combinations in order to highlight the best set. Two assessments will be presented, first, that of the phonetic events, and secondly that of the languages sets. After the presentation of the methods used for the automatic labeling and recognition, the paper will focus on the assessment of the phonetic units and of the languages sets.
Software reengineering toolkit with tangible interface by haptics

Software reengineering is an important task for software maintenance and improvement. Several metrics are proposed for evaluating software programs, and the toolkits which evaluate the software using the metrics are developed. The tool should be easy to understand, easy to modify the programs, enjoyable to use, and must be effective. We developed the 3D visualized toolkit for software reengineering providing various tangible user interfaces with haptics. The toolkit decomposes the java source program into small classes, and integrates them into the harmonized program using haptic device. The decomposed classes can be given the sound, colour and vibration attributes that can be touched and perceived, and can be merged into another classes by moving the arm of the haptic device. This paper describes the toolkit which uses the haptic device for program reorganization providing various tangible user interfaces. Software reengineering methodology is proposed, and some experiments are performed and the results are presented.
Interval control methods of rounding error in numerical calculation

The analysis of the errors arising in numerical calculation can contribute to identify the reliability of calculated results, avoid error hazards and improve the accuracy of calculations. It is one of the research focuses of numerical calculation to efficiently control the errors by improved algorithms. In the actual process of calculations, the number of significant digits always only gets limited because of the length restrictions of the numbers in the computer. Therefore, these methods for some algorithms, especially when the problems are ill-conditioned or unstable, may not be able to get the desired results, that is, the errors can't effectively be controlled. The use of interval calculation methods is able to more effectively solve these problems. Furthermore, some mathematical softwares, such as mathematica, provided the infinite-precision calculation methods by which we can get real results for the specific numeric type.
Fast overcomplete topographical independent component analysis (FOTICA) and its implementation using GPUs

Overcomplete and topographic representation of natural images is an important concept in computational neuro-science due to its similarity to the anatomy of visual cortex. In this paper, we propose a novel approach, which applies the fixed-point technique of the method called FastICA [1] to the ICA model with the properties of overcomplete and topographic representation, named Fast Overcomplete Topographic ICA (FOTICA). This method inherits the features of FastICA, such as faster time to convergence, simpler structure, and less parameters. The proposed FOTICA can easily be implemented in GPUs. In this paper, we also compare the performances with different system configurations. Through the comparison, we will show the performance of the proposed FOTICA and the power of implementing FOTICA using GPUs.
Forest Height Estimation in Tropical Rain Forest using Pol-InSAR Techniques

Tropical rain forest environments are highly complex and heterogeneous in terms of species composition and structure and is often difficult to access. Radar remote sensing is for large tropical regions the only available information source for monitoring. Pol-InSAR is a novel developed radar remote sensing technique sensible to the vertical structure of forest that allows the estimation and mapping of forest height. In this paper we demonstrate forest height inversion at two frequencies - L band and P band - by means of Pol-InSAR using INDREX-II data and addresses the problem of temporal decorrelation.
Healthy Aging – Insights from Drosophila

Human life expectancy has nearly doubled in the past century due, in part, to social and economic development, and a wide range of new medical technologies and treatments. As the number of elderly increase it becomes of vital importance to understand what factors contribute to healthy aging. Human longevity is a complex process that is affected by both environmental and genetic factors and interactions between them. Unfortunately, it is currently difficult to identify the role of genetic components in human longevity. In contrast, model organisms such as C. elegans, Drosophila, and rodents have facilitated the search for specific genes that affect lifespan. Experimental evidence obtained from studies in model organisms suggests that mutations in a single gene may increase longevity and delay the onset of age-related symptoms including motor impairments, sexual and reproductive and immune dysfunction, cardiovascular disease, and cognitive decline. Furthermore, the high degree of conservation between diverse species in the genes and pathways that regulate longevity suggests that work in model organisms can both expand our theoretical knowledge of aging and perhaps provide new therapeutic targets for the treatment of age-related disorders.
Comparative Evaluation of the Impact of Subacute Exposure of Smokeless Tobacco and Tobacco Smoke on Rat Testis

This study investigated the effects of 30-day exposure to tobacco smoke (TS), smokeless tobacco (ST), and nicotine on reproductive parameters and oxidative biomarkers in prepubertal and adult male rats. Sperm motility was reduced by 77.5 and 89.0% in TS and ST exposed prepubertal rats and 71.1 and 86.4% in adult rats, respectively. Sperm count was also reduced by 64.7 and 89.9% in prepubertal rats and 64.9 and 47.0% in adult rats, respectively. Nicotine decreased sperm motility (82.2%) and count (62.6%) in prepubertal rats but caused no effect in adult rats. There were no changes in sperm morphology; testosterone was decreased, while LH and FSH were increased in exposed rats, when compared with control. Malondialdehyde levels in testes of exposed rats were increased, and GSH, SOD, and catalase were altered. Results indicate that subacute exposure of tobacco products alters sperm characteristics in a rank order of ST > TS > nicotine, which may be linked to increase in oxidative stress in the testis.
Correcting radial lens distortion with advanced outlier elimination

Radial lens distortion occurs when low-cost cameras or cameras with wide-angle or fish-eye lens are used. The line-based approach is based on the property that straight lines in the 3D world must be straight in 2D images; it estimates a radial lens distortion parameter by finding curved lines in the 2D image which are straight lines in 3D world. To estimate the parameter more accurately, a conventional algorithm eliminates outliers, which are defined as lines which are curved both in the 2D image and in the 3D world. We propose a novel algorithm which extends the concept of outlier to include lines which can cause errors in the estimate of the parameter even though the lines are straight in the 3D world. The proposed algorithm can eliminate outliers effectively. As a result, the proposed algorithm can estimate the distortion parameter more accurately than existing algorithms.
Regulation of Global Gene Expression in Human Loa loa Infection Is a Function of Chronicity

Background Human filarial infection is characterized by downregulated parasite-antigen specific T cell responses but distinct differences exist between patients with longstanding infection (endemics) and those who acquired infection through temporary residency or visits to filarial-endemic regions (expatriates). Methods and Findings To characterize mechanisms underlying differences in T cells, analysis of global gene expression using human spotted microarrays was conducted on CD4+ and CD8+ T cells from microfilaremic Loa loa-infected endemic and expatriate patients. Assessment of unstimulated cells showed overexpression of genes linked to inflammation and caspase-associated cell death, particularly in endemics, and enrichment of the Th1/Th2 canonical pathway in endemic CD4+ cells. However, pathways within CD8+ unstimulated cells were most significantly enriched in both patient groups. Antigen (Ag)-driven gene expression was assessed to microfilarial Ag (MfAg) and to the nonparasite Ag streptolysin O (SLO). For MfAg-driven cells, the number of genes differing significantly from unstimulated cells was greater in endemics compared to expatriates (p<0.0001). Functional analysis showed a differential increase in genes associated with NFkB (both groups) and caspase activation (endemics). While the expatriate response to MfAg was primarily a CD4+ pro-inflammatory one, the endemic response included CD4+ and CD8+ cells and was linked to insulin signaling, histone complexes, and ubiquitination. Unlike the enrichment of canonical pathways in CD8+ unstimulated cells, both groups showed pathway enrichment in CD4+ cells to MfAg. Contrasting with the divergent responses to MfAg seen between endemics and expatriates, the CD4+ response to SLO was similar; however, CD8+ cells differed strongly in the nature and numbers (156 [endemics] vs 36 [expatriates]) of genes with differential expression. Conclusions These data suggest several important pathways are responsible for the different outcomes seen among filarial-infected patients with varying levels of chronicity and imply an important role for CD8+ cells in some of the global changes seen with lifelong exposure.