Miracle-dz/UniFAR-FTUs huggingface dataset:
Applying variable chromosome length genetic algorithm for testing dynamism of web application

This paper presents a proficient technique to test all static and dynamic analysis of chosen web application using state machine and variable chromosome length genetic algorithm. We propose a framework to generate user session based state machine model of dynamic behavior of a web application and the technique used to test the correctness of generated state machine is Variable chromosome length genetic algorithm. In this study, the author projected a new reflexive approach User Session based State Machine to test the dynamic content of a web application. This proposed technique will walk through various states of a highly dynamic web application, create a model of the active user session navigational paths and illustrate the dynamic content by means of a Finite State Machine (FSM). We applied Variable chromosome length genetic algorithm(VCL-GA) for generating test cases for proposed framework generated state machine. During test case generation we are refining test cases of generated state machine on progressive refinement manner using proposed VCL-GA. Finally the author depicts comparison of simple GA and variable chromosome length GA. Results shows that variable chromosome length GA gives efficient and better result on large state machine and especially in dynamic behaviors of application results are efficient.
An Open-Ended Approach to Piagetian Development of Adaptive Behavior

In this paper, we are interested in the open-ended development of adaptive behavior by infant humans in the context of embodied, enactive cognitive science. We focus on the sensorimotor development of an infant child from gestation to toddler and discuss what aspects of the body, brain, and environment could allow for the sort of leaps of complexity observed in the developing infant that has heretofore not been replicable by artificial means. We use the backdrops of Piagetian developmental principles and Sensorimotor Contingency Theory to discuss this process in terms of skill proficiency, and discuss biologically plausible means for achieving it by referring to predictive processing and the free energy principle. We also refer to the theory of affordances to examine the selection of appropriate behaviors in a complex environment, and investigate phenomenological accounts to discuss the intentionality inherent in the purposeful behaviors that develop. Throughout this paper we develop a functional account of infant development which is based on the aforementioned theories and which leads to a biologically realistic explanation for the theory laid out by Piaget consistent with the embodied and enactive views.
Markovian Arrival Process Parameter Estimation With Group Data

This paper addresses a parameter estimation problem of Markovian arrival process (MAP). In network traffic measurement experiments, one often encounters the group data where arrival times for a group are collected as one bin. Although the group data are observed in many situations, nearly all existing estimation methods for MAP are based on nongroup data. This paper proposes a numerical procedure for fitting a MAP and a Markov-modulated Poisson process (MMPP) to group data. The proposed algorithm is based on the expectation-maximization (EM) approach and is a natural but significant extension of the existing EM algorithms to estimate parameters of the MAP and MMPP. Specifically for the MMPP estimation, we provide an efficient approximation based on the proposed EM algorithm. We examine the performance of proposed algorithms via numerical experiments and present an example of traffic analysis with real traffic data.
Observer-Controller Design for Three Dimensional Overhead Cranes Using Time-Scaling

In this paper we address the design of an observer-controller for a three degrees of freedom overhead crane. We consider a linear model of the crane where the length of the suspending rope is a time-varying parameter. The set of models given by frozen values of the rope length can be reduced to a single time-invariant reference model using suitable time-scalings. We construct a controller and an observer for the reference model assigning the desired closed loop eigenvalues for both system and estimation error. The time-scaling relations can be used to derive a control law for the time-varying system that implements an implicit gain-scheduling [6]. A second gain-scheduling is used to choose suitable closed-loop eigenvalues for different values of the load and lifting/lowering operations. Using a Lyapunov-like theorem, it is also possible to find relative upper bounds for the rate of change of the varying parameter that ensure the stability of the time-varying system.
Stretch ‘n’ cut: Method for observing and ungrouping complex virtual objects in 3D space using elastic band metaphor

We propose a system which realizes gesture-based separation, and the observation of a group of parts from complex virtual objects in 3D space. One practical application of our system is for training purposes such as learning the structures of complex 3D object such as the human body or industrial products. By using an “elastic band” metaphor, our method enables users to (1) observe the relationship (connection and its strength) between the parts and (2) separate a part of the object efficiently.
Design Challenges and Performance Parameters of Low Noise Amplifier

Wireless communication system is an integral part of day today communication. For effective wireless communication, faithful transreceiption of the signal is required. It can be achieved by careful design of the receiver circuit. Hence there is wide scope of improvement in different blocks of the receiver. LNA is the first block of any receiver in communication system. At the receiver side in communication link weak signal should be amplified for further processing at minimum noise level. Amplification of weak signal and attenuation in noise level is a key role of LNA. LNA design meets different challenges because of its simultaneous requirements like good transistor selection, suitable DC biasing network, high gain, low noise figure, good input-output matching circuits, high linearity and good stability. All these design parameters are equally important and always independent on each others. To simplify the design and analysis of analog circuits, it is useful to abstract circuit blocks into two-port networks. System analysis for two port network can be achieve using Impedance (z), Admittance (y), Hybrid (h) or Scattering parameters (s). Scattering parameters (s) are more applicable at RF due to its ability to express in terms of powers, are suitable for high frequencies and possibility of complete transmission. This paper highlights the design challenges, performance parameters or all the necessary steps for LNA design. IndexTerms-ADS(Advanced Design System), Conditional Stability, Impedance Matching, LNA(Low Noise Amplifier), Smith Chart, S-parameters.
Lup B Visible & Near-Infrared Photometric Analysis

We have re-analyzed archival HST and Subaru data of the recently discovered planetary mass companion (PMC) GQ Lup B. With these we produce the first R and I band photometry of the companion and fit a radius and effective temperature using detailed model atmospheres. We find an effective temperature of 2335 ± 100K, and a radius of 0.38 ± 0.05R⊙ and luminosity of log(L/L⊙) = −2.42 ± 0.07 (at 140pc). Since we fit wavelengths that span most of the emitted radiation from GQ Lup this luminosity estimate is robust, with uncertainty dominated by the distance uncertainty (±50pc). The radius obtained for 140pc (0.38R⊙) is significantly larger than the one originally derived and larger than model predictions. The mass of the object is much more model-dependent than the radiative properties, but for the GAIA dusty models we find a mass between 9-20 MJup, in the range of the brown dwarf and PMC deuterium burning boundary. Assuming a distance of 140pc, observations fit to 1σ the Baraffe evolution model for a ∼ 15 MJup brown dwarf. Additionally, the F606W photometric band is significantly overluminous compared to model predictions and other brown dwarfs. Such overluminosity could be explained by a bright Hα emission from chromospheric activity, interaction with another undetected companion, or accretion. Assuming that GQ Lup B has a bright Hα emission line, its Hα emission strength is 10Lbol, significantly larger than field late-type dwarfs. GQ Lup B might be strongly accreting and still be in its formation phase. Subject headings: stars: imaging, stars: pre-main sequence, stars: low-mass, brown dwarfs, (stars:) planetary systems, techniques: photometric Suggested running page header: GQ Lup B Photometric Analysis
QoS Routing in Wireless Mesh Networks

Wireless Mesh Networks (WMNs) have been attracting both academia and the industry off late due to their inherent advantages of providing seamless broadband connectivity to community users. Though there has been some recent research on routing in these networks, a preliminary survery of literature tells that not much has been done regarding providing Quality of Service. This paper studies the performance of AQOR, a QoS aware routing protocol proposed primarily for MANETs and adopted to, but not adapted to, WMNs. We also propose a new protocol WMESH which addresses these drawbacks and is optimized for WMNs. Preliminary Qualnet simulation results show the performance advantages of WMESH over other
Global finite-time stabilization of a class of nonsmooth nonlinear systems by output feedback

This paper studies the problem of global finite-time stabilization by output feedback for a class of nonsmooth nonlinear systems which can be viewed as the dual of the high-order systems considered in [C. Qian and W. Lin (2001)], [C. Qian and W. Lin (2004)]. By extending the adding a power integrator technique [C. Qian and W. Lin (2004)] and nonsmooth observer design in [C. Qian and J. Li (2004)], an output feedback controller is explicitly constructed to render the nonsmooth nonlinear systems globally finite-time stable. The novelty of the paper is the development of a recursive design procedure to construct the nonsmooth observer with rigorous gains.
Location Time-Series Clustering on Optimal Sensor Arrangement

Many researches focus on clustering location or time series. In time series data, similarity metric are often used to measure the similar data. Many works use different algorithms to calculate similarity between two subsequences. Also, in location clustering, the well-known algorithm k-means and k-NN propose excellent results, and many works focus on how to increase efficient and accuracy of these algorithms. However, in some cases, we need to consider both similarities between locations and time series. Like greenhouse or wildfire detection, key points in these cases play an important status. This paper addresses how to cluster both location points and time series data together. We propose a new algorithm to consider location and time series together. We further show the algorithm we proposed can solve the problem of real cases well.
Relationship between temperament and character dimensions of personality and burnout and management in healthcare organization workers

ABSTRACT Objective: Although most burnout research has focused on environmental job-related correlates, it is possible that personality factors also play an important role in the development of burnout. The aim of present study is to examine the relationship between personality and burnout in healthcare workers by using Cloninger’s psychobiological model and Maslach’s three-dimensional burnout model in a healthcare worker sample in Turkey. Methods: Our samples consisted of 66 male, 14 female and totally 80 healthcare organization workers. Sociodemographic form for all the participants was completed during the interviews. The Maslach Burnout Inventory and Turkish TCI were completed by the participants. Multiple hierarchical regression analyses that determine best predictor of independent variables were performed to examine the association between the independent and dependent variables. Results: The hierarchical regression analysis has indicated that Self-Directedness was a significant predictor of depersonalization (β = −.347, R2 = .233, F = 1.878, p = .013) and Self-Transcendence and Self-Directedness were significant predictors of Personal Accomplishment (β = −.317, R2 = .176, F = 1.319, p = .029; β = −.328, R2 = .176, F = 1.319, p = .022; respectively), and Empathy and Self-Forgetfulness subscales were significant predictors of Personal Accomplishment (β = −.426, R2 = .106, F = 1.323, p = .013; β = −.400, R2 = .106, F = 1.323, p = .030; respectively). Conclusions: Our findings have shown that Self-Directedness, Empathy subscale of Cooperativeness and Self-Transcendence with its Self-Forgetfulness subscale were significant predictors of personal accomplishment dimension of burnout. Our results suggested a strong association between temperament and character dimensions of personality and burnout in healthcare workers.
Adriamycin activation and oxygen free radical formation in human breast tumor cells: protective role of glutathione peroxidase in adriamycin resistance.

Previous studies with Adriamycin-sensitive and -resistant (ADRR) MCF-7 human breast tumor cell lines indicated that Adriamycin formed significantly less hydroxyl radical (.OH) as the result of enhanced detoxification of reactive oxygen intermediates in the ADRR cell line. In order to further define the sites of drug activation and the role of detoxification mechanisms in free radical levels, subcellular fractions were isolated from these two cell lines and free radical formation in the presence of Adriamycin was examined by using electron spin resonance spectroscopy. Studies reported here show that considerable NADPH-cytochrome P-450 reductase and NADH dehydrogenase activities were present in microsomes and mitochondria, respectively, and in nuclei obtained from these cells, and the relative activity of NADH dehydrogenase was 2-fold higher in the mitochondrial fraction of ADRR cells compared to the mitochondrial fraction from the parental wild type cells. In the presence of Adriamycin and a reducing cofactor (NADPH or NADH), Adriamycin semiquinone free radical, superoxide anion, and . OH were detected in all these fractions. Although only a small difference in the relative amount of oxy radical formation was detected in tumor microsomes, both mitochondria and nuclei of ADRR cells showed an overall 2-fold decreased formation of oxy radicals. The formation of the free radicals was significantly inhibited by superoxide dismutase, catalase, and dimethyl sulfoxide, indicating that free . OH generation was both superoxide and hydrogen peroxide dependent. The addition of purified glutathione peroxidase likewise inhibited . OH formation in a dose-dependent fashion. Similarly, when the lysate from ADRR cells, which contains 12- to 14-fold more glutathione peroxidase than Adriamycin-sensitive cells, was added to reaction mixtures containing Adriamycin-sensitive cells and Adriamycin, the . OH formation was diminished. Decreased free radical formation in nuclei and mitochondria, as a result of detoxification of hydrogen peroxide by glutathione peroxidase, may be significant in the protection of ADRR cells from Adriamycin-induced cell killing.
Synthesis of a Walking Primitive Database for a Humanoid Robot using Optimal Control Techniques

This paper presents a general method for generating walking primitives for anthropomorphic 3D–bipeds. Corresponding control torques allowing straight ahead walking with pre–swing, swing, and heel–contact are derived by dynamic optimization using a direct collocation approach. The computed torques minimize an energy based, mixed performance index. Zero moment point (ZMP) and friction conditions at the feet ensuring postural stability of the biped, as well as bounds on the joint angles and on the control torques, are treated as constraints. The method is applied to the model of a biped with 12 joints for the purpose of developing a walking primitive database allowing straight ahead walking with situation dependent step–length adaptation. The resulting biped motions are dynamically stable and the overall motion behaviour is remarkably close to that of humans.
GIFTED PUPILS’ LEARNING LINKS

The article aims at revealing the links of gifted pupils’ learning. Seeking to achieve the aim, a qualitative research, which involved 13 gifted learners of the first-second grades in secondary school, and quantitative research in learning environment have been conducted. The quantitative research was carried out employing What is Happening in the Classroom Questionnaire to survey gifted pupils (334 pupils). The research findings allow maintaining that gifted surface learning is more characteristic of gifted learning than deep learning, whereas the essence of learning compliant with the level of their abilities, interests and inclinations, is often unspecified. The learners with exceptional intellectual abilities tend to learn by using the techniques of memorisation; therefore, learning is rarely related to positive experiences. Moreover, the pupils’ inclination to surface learning is confirmed by the research into class environment: the majority of high school learners claim that they rarely discuss, express their opinion, ask questions or provide explanations of problem-solving in the classroom, i.e. they miss opportunities to actively construct own learning in the process of education.
A Quantitative Study of Memory System Interference in Chip Multiprocessor Architectures

The potential for destructive interference between running processes is increased as Chip Multiprocessors (CMPs) share more on-chip resources. We believe that understanding the nature of memory system interference is vital to achieve good fairness/complexity/performance trade-offs in CMPs. Our goal in this work is to quantify the latency penalties due to interference in all hardware-controlled, shared units (i.e. the on-chip interconnect, shared cache and memory bus). To achieve this, we simulate a wide variety of realistic CMP architectures. In particular, we vary the number of cores, interconnect topology, shared cache size and off-chip memory bandwidth. We observe that interference in the off-chip memory bus accounts for between 63% and 87% of the total interference impact while the impact of cache capacity interference can be lower than indicated by previous studies (between 5% and 32% of the total impact). In addition, as much as 11% of the total impact can be due to uncontrolled allocation of shared cache Miss Status Holding Registers (MSHRs).
Multiscale Modeling of a Short Relativistic Electron Bunch Interacting With Long Resistive Structures at Cryogenic Temperatures

This paper presents multiscale modeling of electromagnetic interaction between a short relativistic electron bunch and long resistive structures at cryogenic temperatures. The considered physical problems include multiple spatial scales such as structure, bunch size, and skin depth. In order to simulate such multiscale problems, a directionally implicit finite-difference time-domain (FDTD) scheme based on Maxwell's equations in the presence of a relativistic bunch current is developed by using a magnetically mixed Newmark-leapfrog formulation. With the so-called magic time step, the resultant FDTD scheme has no accumulation of numerical dispersion errors for all frequencies in the direction of the motion. In order to model the anomalous skin effect (ASE) of metals in time domain, the developed scheme is combined with a rational function approximation of the first-order Leontovich surface impedance boundary condition. The scheme is verified in comparison with analytical approaches. ASE resistive wall effects are assessed for beam pipes and a step collimator.
Personal Identification from Iris Images Using Localized Radon Transform

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NYU's English ACE 2005 System Description

In this report we present the overall architecture for the NYU English ACE 2005 system. We focus on two components which were evaluated this year: reference resolution, where we experimented with features for relating anaphor and antecedent, and event recognition, where we sought to take advantage of a rich combination of logical grammatical structure and predicate-argument structure, building on the recent work on PropBank and NomBank. 1 System Overview Our English extraction system, developed over the course of the last several ACE evaluations, includes facilities for the EDR (entity), RDR (relation), and VDR (event) tasks; TIMEX and Value detection have not yet been implemented. Based on our most recent development work, we participated this year in two evaluations, for entities given mentions (to test coreference) and for events given entities, values, and time expressions. We present a complete system overview, although some components (such as ACE name recognition) were not used for the evaluations we performed this year.