Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive iterative learning control

Describes the basic ideas underpinning the notion of iterative learning control (ILC) for systems where the experimental set-up permits the use of repetition to enable the controller to increase its accuracy in tracking of a specified set-point signal r(t). The resultant process of learning requires a new viewpoint on aspects of classical control design that presents new problems and new opportunities. The main issue addressed in the paper is the possibility of coping with plant uncertainty during the learning process by a combination of the process of iterative learning with adaptive control. The idea opens up a number of possibilities. The approach used here is that of universal adaptive stabilisation as it is a useful vehicle in demonstrating the essential feasibility of the ideas and in suggesting limiting factors. (4 pages)
Meditation Experiences, Self, and Boundaries of Consciousness

Our experiences with the external world are possible mainly through vision, hearing, taste, touch, and smell providing us a sense of reality. How the brain is able to seamlessly integrate stimuli from our external and internal world into our sense of reality has yet to be adequately explained in the literature. We have previously proposed a three-dimensional unified model of consciousness that partly explains the dynamic mechanism. Here we further expand our model and include illustrations to provide a better conception of the ill-defined space within the self, providing insight into a unified mind-body concept. In this article, we propose that our senses “super-impose” on an existing dynamic space within us after a slight, imperceptible delay. The existing space includes the entire intrapersonal space and can also be called the “dynamic mind-body space”. We provide examples from meditation experiences to help explain how the sense of ‘self’ can be experienced through meditation practice associated with underlying physiological processes that take place through cardio-respiratory synchronization and coherence that is developed among areas of the brain. Meditation practice can help keep the body in a parasympathetic dominant state during meditation, allowing an experience of inner ‘self’. Understanding this physical and functional space could help unlock the mysteries of the function of memory and cognition, allowing clinicians to better recognize and treat disorders of the mind by recommending proven techniques to reduce stress as an adjunct to medication treatment.
FEC performance of PMD-impaired optical communication system with multiple-wavelength interleaving

In this letter, a novel wavelength-interleaved forward-error correction scheme to mitigate the polarization-mode dispersion (PMD) impairment in optical transmission system is proposed and analyzed. With double-wavelength interleaving and Reed Solomon (255, 239) coding, this method can extend the PMD tolerance by more than 20% at an output bit-error rate of 10/sup -12/, and about 14%-36% for an outage probability of 10/sup -6/, over a similar system without interleaving. It can also provide a net coding gain of over 6 dB at all tolerable PMD levels, which cannot be achieved by a noninterleaved system. For a four-wavelength interleaving system, the corresponding performance gains are over 26%.
Empirical Analysis of Randomness in Ant Colony Optimization Algorithms Applied to the Traveling Salesman Problem

A variety of modern heuristic algorithms for combinatorial optimization problems are based on computational models of natural processes. Social insects, though individually very simple, exhibit a high level of structured social organization and work efficiently towards a common goal. Ants, for example, can find a shortest path from their nest to the food source by laying and following pheromone trails. The corresponding indirect communication pattern has been modeled and extended to solve difficult combinatorial problems such as the traveling salesman problem (TSP). Since its
RTUCR: Hardware para Ray Tracing

The images obtained by ray tracing are generally more realistic than those obtained by other algorithms for graphics. However, given the number and complexity of the mathematical calculations that the ray tracing requires the implementation in software is considerably slower, it is not widely used for applica- tions requiring generation of graphics in real time. Considering the foregoing, the project RTUCR proposes the design of this algorithm as a specialized hardware or ASIC (Application Speci- fic Integrated-Circuit) with the main objective to accelerate its execution. This article shows an architecture that considers the execution of the algorithm with multiple execution units working in parallel.
Comparative low frequency noise analysis in various SOI devices: floating body, body-tied, DTMOS with and without current limiter

Low frequency noise (LFN) in N-channel floating-body, body-tied and dynamic threshold (DTMOS) devices on Unibond SOI substrates is investigated. The LFN is analyzed in both ohmic and saturation regions. We show that the DTMOS transistors present the best behavior in term of noise compared to the other investigated devices.
Context Perception Mechanism in Virtual Assembly Environment

The structure of virtual assembly environment and the pattern of response message was represented based on the Multi-Agent theory; the context perception mechanism in virtual assembly environment was analyzed, and a perception algorithm was put forward. The result showed that cognitive burden of human had been shared by virtual assembly environment in reason; the efficiency of assembly manipulation in virtual assembly environment had been increased; the level of human-computer interaction had been improved.
Multidisciplinary Care for Gender-Diverse Youth: A Narrative Review and Unique Model of Gender-Affirming Care

Abstract Heightened public awareness about gender diversity in childhood and adolescence has resulted in more youth and families seeking medical and mental health services. In response to these needs, there has been nationwide growth in specialized multidisciplinary clinics treating gender-diverse and transgender youth. Despite general agreement that comprehensive treatment is best delivered through a multidisciplinary team by both medical and mental health clinicians with gender-related expertise and familiarity with child and adolescent development, there is currently no consensus regarding the best approach to clinical care with gender-diverse and transgender youth. In this article, we provide a narrative review of the gender affirmative model guiding our clinical practice and describe the development of our unique model of affirming care within the Gender and Sex Development Program at the Ann & Robert H. Lurie Children's Hospital of Chicago.
Drug Class Review on Second Generation Antidepressants: Final Report

The purpose of this report is to make available information regarding the comparative effectiveness and safety profiles of different drugs within pharmaceutical classes. Reports are not usage guidelines, nor should they be read as an endorsement of, or recommendation for, any particular drug, use or approach. Oregon Health & Science University does not recommend or endorse any guideline or recommendation developed by users of these reports.
Empresa e instituições na teoria schumpeteriana: influências do ambiente social sobre a inovação e o progresso tecnológico.

This article examines the influence of external environment in the tech - nological progress and developing innovations in the Schumpeterian theory. The innovative firm needs to develop competencies and skills to deal with innovation, absorbing knowledge and interacting with the environment. Such this environ- ment beyond the boundary of the market and becomes a social factor, called by Nelson e Sampat (2001) of social technology. This article seeks to contribute to the rapprochement of Schumpeterian theory of innovation with Economic Sociology.
Coping with an ego‐threat: Monitoring and blunting during an intelligence test

This study investigated the predictive validity of the Miller Behavioral Style Scale (MBSS; Miller, 1987). Subjects had to work on an intelligence test. During this test, they could observe lights that informed them on how they were performing. There were two conditions: a low‐stress condition (n = 37) in which the lights always indicated that the subject was performing well, and a high‐stress condition (n.= 33) in which the lights signalled a deterioration of performance. In general, little support was found for the predictive validity of the MBSS.
Compensation of illuminant tilt variation for texture classification

The paper uses theory and laboratory experiment, to show that directional illumination used during the image acquisition process, acts as a directional filter of three dimensional texture. It is shown that the directional characteristics of image texture are not intrinsic to the physical texture being imaged, as they are affected by the direction of the illumination. The implications of this to texture classification are then investigated using a set of Laws' [1980] operators. Finally, a scheme for the compensation of effects caused by changes in illuminant orientation is proposed and evaluated.
Application of laxative foods in prevention and treatment of constipation

Submit Manuscript | http://medcraveonline.com should be awarded of its side effect [6]. Therefore, alternative treatment measures are required. Although there is limited data on the effectiveness of life-style and behavioral modification, it is advisable to consider it as a first line of treatments [7]. Increasing fiber intakes through dietary or medicinal intervention (laxative foods) has been well accepted as a method of choice in treatment modality to relieve symptoms, especially for mild complaints of infrequency or hard stools [6]. The gentlest remedies for constipation include increased physical activities, certain yoga postures, increase of fluid intake, and dietary changes including increased fiber and fruit intake.
Compare and Analysis of Kalman and H∞ Filtering Algorithms in GNSS Vehicle Navigation Data Filtering

In the actual process of navigation, signal interference and inaccurate tracking model can cause inaccurate positioning of navigation. Various filtering algorithms are needed to filter out the interference and improve precision.First of all, this paper elaborates and compares Kalman filtering algorithms and H∞ filtering algorithm, which are both applied in filtering GNSS navigation data. After that, some datas are selected from the vehicle navigation data as the source datas. In the meantime, depend on the ideal model, factors are added into it in consideration of practical application. As a result, the mathematical models for Kalman and H∞ are established. According to the filter algorithm and the mathematic model, simulation programs and their flow charts of Kalman filtering algorithm and H∞ filtering algorithm are all accomplished. Finally, it shows the results of simulation and analyses the problems appeared.
Behavior analysis of CMOS D flip-flops

The authors analyze two D flip-flops (DFF's) generally considered to be the fastest (and most widely used), and compare their speed performance and their robustness against clock skew when a two-phase clocking scheme is applied. The effect of clock skew on their speed and proper logic operation is analyzed and verified with spice simulation. >
The Software Metrician's Workbench : a system for supporting software metrics research

1 1. Quality Software and Software Metrics . 2 2. History of and Trends in the Software Product Metric Field . 1 0 3. Automating Software Metrics: Methods and Tools . 32 4. The Design of the SMW System . 45 5. The Implementation of the SMW Database and Data Interface . 60 6. The Implementation of the SMW Tool Set . 7 4 7. Metric Analysis Case Studies Using the SMW System . 95 8. Summary and Conclusion . 113 Bibliography . 119 Appendices . 130
Wave spectrum and roughness spectrum for microwave observation of the oceans

The description of the ocean surface by a vertical displacement spectrum for microwave remote sensing applications, is discussed. Two kinds of spectra are in use: a spectrum defined as the Fourier transform of the autocovariance function of the displacement, and a spectrum defined by an expansion of the surface in plane waves. The first one is symmetric, the second one is not. An important consequence is that the up-wind down-wind asymmetry, observed in the azimuthal response of a wind scatterometer, cannot be explained by an asymmetry of the spectrum. <<ETX>>
A high-performance CMOS-SOI antenna switch for the 2.5-5-GHz band

Taking full advantage of the high resistivity substrate and underlying oxide of silicon-on-insulator (SOI) technology, a high-performance CMOS single-pole double-throw (SPDT) T/R switch for Bluetooth class-II applications has been designed and fabricated in a partially depleted 0.25-/spl mu/m SOI process. To compare the influence on losses and isolation of the substrate resistivity, the switch has been integrated above standard and high resistivity (20 /spl Omega//spl middot/cm and 1 k/spl Omega//spl middot/cm) substrates. The switch over the standard resistivity substrate exhibits 1 dB of insertion loss and 45dB of isolation at 2.4 GHz. With the high resistivity substrate, the overall performances are strongly improved until 0.7-dB insertion loss and a 54-dB isolation at 2.4 GHz. At 5 GHz, the switch over the high resistivity substrate keeps insertion loss and isolation at 1 and 46 dB, respectively. In both cases, the measured 1-dB input compression point is 12 dBm. The targeted Bluetooth class-II specifications have been fully fitted.
Escherichia Coli: An Infectious or a Factorial Pathogen?

J Dairy Vet Anim Res 2016, 3(5): 00096 The bacteria can also cause pneumonia, neonatal meningitis, hemolytic-uremic syndrome, peritonitis, mastitis, septicemia, and there is evidence of their involvement in cancer. Strains of E. coli that cause disease outside the intestinal tract of any species share common characteristics and are called Extraintestinal pathogenic E. coli (ExPEC). Research into ExPEC has shown that its potential transmission from food animal sources is likely to be implicated in human infections and that chickens, together with beef and pork, are a major reservoir. Nowadays the most dangerous are so called ESBL E.coli, which produce an enzyme called extendedspectrum beta lactamase (ESBL). The Infectious Diseases Society of America (IDSA) included ESBL E.coli into the group of multidrug resistant “ESKAPE bacteria” (“Bad Bugs – No Drugs”), which includes Enterococcus faecium (VRE), Staphylococcus aureus (MRSA), Klebsiella pneumoniae (ESBL), Acinetobacter baumanii, Pseudomonas aeruginosa, and Enterobacter species.
Resonance Of The Force-driven Harmonic Oscillator As The Basis For Preferred Cadence In Human Gait: Theory And Data

Research in adult human walking and running gait, children's walking gait, and crutch walking performed in our laboratory is summarized. A theoretical model in which it is claimed that experienced ambulators are sensitive to the resonance properties of their limbs has been tested in these conditions. Results indicate that experienced subjects ambulate at a significantly different frequency than inexperienced subjects and that an individual's freely chosen stride frequency is predictable as the resonance of a harmonic oscillator. The same formula as that used for walking and running quadrupeds and bipeds can predict human gait. Sensitivity to the resonance criteria leads to metabolic costs which are minimized. It is suggested that the part of the learning experience is to become sensitive to resonance.
An efficient technique for deriving receiver filters in multiuser asynchronous DS/SSMA

It has been shown that the performance of sub-optimal multiuser receivers for synchronous DS/SSMA is improved by using a noise whitening matched filter (WMF) as a receiver filter. In the asynchronous case the performance is also improved through the use of a WMF. We present an efficient technique for deriving the WMF for an asynchronous DS/SSMA system. The WMF is determined as the Cholesky decomposition of X where X is the solution to X=R/sub 0/-R/sub 1//sup T/X/sup -1/R/sub 1/. A recursive algorithm for determining X is proposed. Constraints on the spreading codes that ensure convergence of the algorithm are derived and the efficiency of the technique is demonstrated by simulation.
200-MHz superscalar RISC microprocessor

Design and implementation details of the MIPS R10000, 200-MHz, 64-b superscalar dynamic issue RISC microprocessor is presented. It fetches and decodes four instructions per cycle and dynamically issues them to five fully pipelined, low latency execution units, Its hierarchical nonblocking memory system helps hide memory latency with two levels of set-associative, write-back caches. The processor has over 6.8 M transistors and is built in 3.3-V, 0.30 /spl mu/m, four-layer metal CMOS technology with under 30 W of power consumption. The processor delivers peak performance of Spec95int of 9 and Spec95fp of 19 operating at 200 MHz. Clock and power distribution as well as circuit design techniques of several blocks are addressed.
A formal language for writing data base integrity constraints

Population rules for most databases are currently written in free format English. This lack of standardization has produced population rules that are frequently ambiguous and lacking critical information. A new formal population rule language (PRL) has been designed to remove ambiguities from the population rules. PRL consists of a standard format template and a dependency section. The template describes all the information about the relation. The dependency section expresses intra- and interrelation constraints in a structured language. The authors describe the syntax and semantics of PRL. <<ETX>>
Scalable services for massively multiplayer online games

Massively Multi-player Online Games (MMOGs) aim at gathering an infinite number of players within the same virtual universe. Yet all existing MMOGs rely on centralized client/server architectures which impose a limit on the maximum number of players (avatars) and resources that can coexist in any given virtual universe. This thesis aims at proposing solutions to improve the scalability of MMOGs. To address the wide variety of their concerns, MMOGs rely on independent services such as virtual world hosting, avatar storage, matchmaking, cheat detection, and game design. This thesis explores two services that are crucial to all MMOG variants: matchmaking and cheat detection. Both services are known bottlenecks, and yet current implementations remain centralized. This thesis also shows that it is possible to design a peer to peer refereeing service on top of a reputation system. The resulting service remains highly efficient on a large scale, both in terms of performance and in terms of cheat prevention. Since refereeing is somewhat similar to failure detection, this thesis extends the proposed approach to monitor failures. The resulting failure detection service scales with the number of monitored nodes and tolerates jitter.
Poly[aquamanganese(II)- 3 -1 H -imidazole-4,5-dicarboxylato]

In the title coordination polymer, [Mn(HIDC)(H2O)]n (HIDC2− is the 1H-imidazole-4,5-dicarboxyl­ate dianion, C5H2N2O4), each MnII atom is in an octahedral coordination by one N atom and four carboxyl­ate O atoms from three HIDC2− anions, and one water molecule. The MnII atoms are linked by HIDC2− anions into a layer structure. A three-dimensional coordination network is formed by O—H⋯N and O—H⋯O hydrogen bonding.
Development of criteria to compare model-based texture analysis methods

Texture is an important property useful for image segmentation and the inference of 3-D information in the scene. Many approaches were proposed for analyzing textures. Among them are feature-based approaches and model-based approaches. In a feature-based environment various textural features are extracted from each textured image(or subimage) and are used to classify or discriminate given textures i. e. no explicit consideration of models is taken into account and thus the generation aspect is ignored. In model-based analysis we describe texture in terms of mathematical model which has both analysis and synthesis abilities. In the literature several comparative studies of feature-based methods are found. However few explicit comparative studies of model-based methods have been reported. This paper describes the development of some criteria to compare two model-based texture analysis methods (Time Series model and Markov Random Field model).
An Efficient Methodological Study for Optimization of Negative Association Rule Mining

rule mining is interested area in present time for many research scholars. In this paper we show an efficient study of optimization of association rule mining. Lot of research done over positive association rule mining and now negative association rule mining is area of research. But we focus to study all kind of rules like positive and negative association rule as well as optimization of them with the help of genetic algorithm. Basically mining apply over Market basket, retail databases, and healthcare. Here we also study about basic Apriori algorithm for getting frequent item sets. Genetic algorithm also studied in deep in this research paper because of with the help of genetic algorithm we will found efficient association rules. In this research paper we also show some steps of methodology to find association rules through Genetic algorithm.
Lexical Bundles in L1 and L2 Academic Writing.

Yu-Hua Chen and Paul Baker Lancaster University This paper adopts an automated frequency-driven approach to identify frequently-used word combinations (i.e., lexical bundles) in academic writing. Lexical bundles retrieved from one corpus of published academic texts and two corpora of student academic writing (one L1, the other L2), were investigated both quantitatively and qualitatively. Published academic writing was found to exhibit the widest range of lexical bundles whereas L2 student writing showed the smallest range. Furthermore, some high-frequency expressions in published texts, such as in the context of, were underused in both student corpora, while the L2 student writers overused certain expressions (e.g., all over the world) which native academics rarely used. The findings drawn from structural and functional analyses of lexical bundles also have some pedagogical implications.
SIZE & ESTIMATION OF DATA WAREHOUSE SYSTEMS

Data Warehouse Systems are a special context for the application of functional software metrics. The use of an unique standard, as Function Point, gives serious comparability issues with traditional systems or other paradigms, in terms of both numerical size and implementation effort estimation. Peculiar guidelines are therefore necessary in order to identify the user view, the software boundaries, the data and the transactional components of such systems. Particularly, the boundary identification may strongly affect the measurement result for a data warehouse project; consequently, one can find huge, unacceptable deviations in the estimation of effort, time and cost for the given project. This paper shows the substantial differences between “traditional” software and data warehouse systems, the main guidelines that one can use when measuring the latter, and peculiar considerations for differentiating the effort estimation by measured element types. The depicted case studies highlight the fundamental relevance of the concept of “layer”, as explicitly stated by the most recent evolutions in the functional metrics field (COSMIC Full Function Point) in evaluating those functions which are seemingly transparent to the final user, but which cannot be neglected when estimating the implementation effort of the measured system.