Miracle-dz/UniFAR-FTUs huggingface dataset:
Ultra Wideband System Performance Studies in AWGN Channel with Intentional Interference

This paper studies the performance degradation of ultra wideband (UWB) radio system in intentionally interfered AWGN channel. Simulated UWB systems utilize pulse shape (PSM), pulse position (PPM) and pulse amplitude (PAM) data modulation schemes. All the modulation schemes are binary. The pulse waveforms used in the study are based on a Gaussian pulse, being its first four derivatives. Interference model is coloured Gaussian noise, having 60 MHz bandwidth at both UMTS uplink and downlink bands. The results showed that PAM modulation outperforms the other studied modulation schemes. If PSM is used, the selection of the used pulses set also the sensitivity against interference. PPM modulated system retains its performance while the interfering power is increased. However, its overall performance is the worst among the implemented modulations.
HUBUNGAN ANTARA MOTIVASI AKADEMIK INTRINSIK DENGAN SELF DIRECTED LEARNING READINESS (SDLR) PADA MAHASISWA FAKULTAS KEDOKTERAN UNIVERSITAS SEBELAS MARET

v Wardani, G0012168, 2015. Hubungan Motivasi Akademik Intrinsik dengan Self Directed Learning Readiness (SDLR) pada Mahasiswa Fakultas Kedoteran Universitas Sebelas Maret. Skripsi. Fakultas Kedokteran Universitas Sebelas Maret, Surakarta. Latar Belakang: Self Directed Learning Readiness (SDLR) yang tinggi dibutuhan untuk Mahasiswa Fakultas Kedokteran untuk menerapkan pembelajaran sepanjang hayat. SDLR dibentuk dari pengelolaan diri, motivasi akademik, dan pengendalian diri. Motivasi yang memengaruhi kegiatan akademik disebut motivasi akademik. Motivasi terbagi menjadi motivasi akademik intrinsik dan motivasi akademik ekstrinsik. Penelitian ini bertujuan untuk mengetahui hubungan antara motivasi akademik intrinsik dengan Self Directed Learning Readiness (SDLR). Metode Penelitian: Penelitian ini merupakan jenis penelitian observasional analitik rancangan penelitian cross sectional. Sampel penelitian ini adalah Mahasiswa Program Studi Kedokteran Universitas Sebelas Maret angkatan 2013, 2014, dan 2015 yang dipilih dengan metode stratified random sampling. Data motivasi akademik intrinsik diambil dengan bagian kuesioner motivasi akademik intrinsik dari Academic Motivation Scale (AMS) yang telah dialihbahasa serta diuji validitas dan reliabilitas. Data SDLR diambil dengan kuesioner SDLR-NE yang telah dialih bahasa serta duji validitas dan reliabilitas. Analisis statistik menggunakan uji korelasi Pearson. Hasil Penelitian: Hasil uji normalitas data didapatkan motivasi akademik intrinsik dan Self Directed Learning Readiness (SDLR) berdistribusi normal. Hasil uji korelasi Pearson 0,474 dengan p = 0,000. Simpulan Penelitian: Semakin tinggi nilai motivasi akademik intrinsik maka semakin tinggi nilai SDLR, dengan kekuatan korelasi sedang dan bermakna secara statistik.
Domestic Induction Appliances

In this paper several research topics pertaining to the design and modeling of domestic induction appliances are reviewed. Each topic is summarized, stressing its most significant advances and pointing to its future tendencies. A bibliographic review showing some of the published papers during the last years is included. The emphases and relative contributions of some of them are also discussed.
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1  Abstract—Scene text detection from video as well as natural scene images is challenging due to the variations in background, contrast, text type, font type, font size, etc. Besides, arbitrary orientations of texts with multi-scripts add more complexity to the problem. The proposed approach introduces a new idea of convolving Laplacian with wavelet sub-bands at different levels in the frequency domain for enhancing low resolution text pixels. Then the results obtained from different sub-bands (spectral) are fused for detecting candidate text pixels. We explore maxima stable extreme regions along with stroke width transform for detecting candidate text regions. Text alignment is done based on the distance between the nearest neighbor clusters of candidate text regions. Additionally, the approach presents a new symmetry driven nearest neighbor for restoring full text lines. We conduct experiments on our collected video data as well as several benchmark datasets such as ICDAR 2011, ICDAR 2013 and MSRA-TD500 to evaluate the proposed method. The proposed approach is compared with the state of the art methods to show its superiority to the existing methods.
APPLICABILITY OF FIRST PULSE DERIVED DIGITAL TERRAIN MODELS FOR BOREAL FOREST STUDIES

Detailed high-resolution digital terrain models (DTM) can be obtained using airborne laser scanner data. This paper evaluates the accuracy of DTM derived from first return of laser scanner data for forest studies. Study area is located in a boreal forest zone. The data were acquired with TopoSys-1 under leaf-on condition. The study shows that the use of first pulse data for DTM generation in boreal forest zone results in comparable random errors as last pulse derived DTM. Even under leaf-on conditions, the random errors were typically less than 20 cm. The major difference in the performance is the small systematic elevation shift of the order of 10-20 cm in the first pulse DTM compared to the use of the last pulse. The effects of tree species, terrain slope, the vegetation covers and interpolation on first pulse-derived DTM were also investigated.
The Efficiency of Periodic Rekeying in Dynamic Group Key Management

The efficiency of group key management is a key issue in secure group communications, since the group key must be renewed each time the group membership changes. This paper examines the performance of a periodic rekeying technique for the key management of groups that exhibit bursty behaviour. Experimental results demonstrate that this technique costs far fewer key generations than existing approaches, and is therefore more efficient in terms of computation. When the pre-processing of joining members can be performed during the rekeying period, this technique reduces the rekeying time at the end of the rekeying period to the lower bound
Ja n 20 02 Statistics : Handle with Care Detecting Multiple Model Components with the Likelihood Ratio Test

The likelihood ratio test (LRT) and the related F test, popularized in astrophysics by Eadie et al. (1971), Bevington (1969), Lampton, Margon, and Bowyer (1976), Cash (1979), and Avni et al. (1978) do not (even asymptotically) adhere to their nominal χ and F distributions in many statistical tests common in astrophysics, thereby casting many marginal line or source detections and non-detections into doubt. Although the above references illustrate the many legitimate uses of these statistics, in some important cases it can be impossible to compute the correct false positive rate. For example, it has become common practice to use the LRT or the F test for detecting a line in a spectral model or a source above background despite the lack of certain required regularity conditions. (These applications were not originally suggested by Cash (1979) or by Bevington (1969)). In these and other settings that involve testing a hypothesis that is on the boundary of the parameter space, contrary to common practice, the nominal χ distribution for the LRT or the F distribution for the F test should not be used. In this paper, we characterize an important class of problems where the LRT and the F test fail and illustrate this non-standard behavior. We briefly sketch several possible acceptable alternatives, focusing on Bayesian posterior predictive probability-values. We present this method in some detail, as it is a simple, robust, and intuitive approach. This alternative method is illustrated using the gamma-ray burst of May 8, 1997 (GRB 970508) to investigate the presence of an Fe K emission line during the initial phase of the observation. There are many legitimate uses of the LRT and the F test in astrophysics, and even when these tests are inappropriate, there remain several statistical alternatives (e.g., judicious use of error bars and Bayes factors). Nevertheless, there are numerous cases of the inappropriate use of the LRT and similar tests in the literature, bringing substantive scientific results into question.
A ROBUST QUASI-DENSE MATCHING APPROACH FOR UNDERWATER IMAGES

While different techniques for finding dense correspondences in images taken in air have achieved significant success, application of these techniques to underwater imagery still presents a serious challenge, especially in the case of “monocular stereo” when images constituting a stereo pair are acquired asynchronously. This is generally because of the poor image quality which is inherent to imaging in aquatic environments (blurriness, range-dependent brightness and color variations, time-varying water column disturbances, etc.). The goal of this research is to develop a technique resulting in maximal number of successful matches (conjugate points) in two overlapping images. We propose a quasi-dense matching approach which works reliably for underwater imagery. The proposed approach starts with a sparse set of highly robust matches (seeds) and expands pair-wise matches into their neighborhoods. The Adaptive Least Square Matching (ALSM) is used during the search process to establish new matches to increase the robustness of the solution and avoid mismatches. Experiments on a typical underwater image dataset demonstrate promising results.
Quantitative Phosphoproteomics of Early Elicitor Signaling in Arabidopsis*S

Perception of general elicitors by plant cells initiates signal transduction cascades that are regulated by protein phosphorylation. The earliest signaling events occur within minutes and include ion fluxes across the plasma membrane, activation of MAPKs, and the formation of reactive oxygen species. The phosphorylation events that regulate these signaling cascades are largely unknown. Here we present a mass spectrometry-based quantitative phosphoproteomics approach that identified differentially phosphorylated sites in signaling and response proteins from Arabidopsis cells treated with either flg22 or xylanase. Our approach was sensitive enough to quantitate phosphorylation on low abundance signaling proteins such as calcium-dependent protein kinases and receptor-like kinase family members. With this approach we identified one or more differentially phosphorylated sites in 76 membrane-associated proteins including a number of defense-related proteins. Our data on phosphorylation indicate a high degree of complexity at the level of post-translational modification as exemplified by the complex modification patterns of respiratory burst oxidase protein D. Furthermore the data also suggest that protein translocation and vesicle traffic are important aspects of early signaling and defense in response to general elicitors. Our study presents the largest quantitative Arabidopsis phosphoproteomics data set to date and provides a new resource that can be used to gain novel insight into plant defense signal transduction and early defense response.
Will Dangling the Carrot Make Them Eat It? An Exploration of Children’S Perceptions Towards Rewards For Healthy Food

This study explored children’s experiences with and perceptions towards rewards for food. This study explores how children perceived rewards for healthy food. A Consumer Socialization framework (Roedder-John, 1999) was applied to understand how a child’s consumer socialization stage influences their perceptions towards the attributes of concrete and abstract rewards. Phenomenological interviews were used to gain understanding of children’s perspectives and enabled the identification of the attributes of rewards which are most persuasive in influencing children’s healthy food choices. References Roedder John Deborah (1999) Consumer Socialization of Children: A Retrospective Look At Twenty-Five Years of Research Journal of Consumer Research,Vol. 26,December(p.183-213)
Mixed Initiative Dialogue and Intelligence via Active LogicCarl

This paper describes features of the active logic formalism as a tool for implementing mixed initiative intelligent systems. A framework is provided for assessing systems as \mixed-initiative", which is used to explore the relevant features both in the active logic formalism and associated implementations based upon and using that formalism. Active logics were developed as a means of combining the best of two worlds { inference and reactivity { without giving up much of either. This requires a special evolving-during-inference model of time. Active logics are able to react to incoming information (including dialogue utterances by a collaborative partner) while reasoning is ongoing, blending new inputs into its inferences without having to start up a new theorem-proving eeort. An implementation of active logic is described, which also includes special features for reasoning about and performing actions. This implementation is also used as the backbone of a dialogue system.
SHRINK: Reducing the ISA complexity via instruction recycling

Microprocessor manufacturers typically keep old instruction sets in modern processors to ensure backward compatibility with legacy software. The introduction of newer extensions to the ISA increases the design complexity of microprocessor front-ends, exacerbates the consumption of precious on-chip resources (e.g., silicon area and energy), and demands more efforts for hardware verification and debugging. We analyzed several x86 applications and operating systems deployed between 1995 and 2012 and observed that many instructions stop being used over time, and more than 500 instructions were never used in these applications. We also investigate the impact of including these unused instructions in the design of the x86 decoders and propose SHRINK, a mechanism to remove old instructions without breaking backward compatibility with legacy code. SHRINK allows us to remove 40% of the instructions from the x86 ISA and improve the critical path, area, and power consumption of the instruction decoder, respectively, by 23%, 48%, and 49%, on average.
Metallo-β-Lactamases: the Quiet before the Storm?

SUMMARY The ascendancy of metallo-β-lactamases within the clinical sector, while not ubiquitous, has nonetheless been dramatic; some reports indicate that nearly 30% of imipenem-resistant Pseudomonas aeruginosa strains possess a metallo-β-lactamase. Acquisition of a metallo-β-lactamase gene will invariably mediate broad-spectrum β-lactam resistance in P. aeruginosa, but the level of in vitro resistance in Acinetobacter spp. and Enterobacteriaceae is less dependable. Their clinical significance is further embellished by their ability to hydrolyze all β-lactams and by the fact that there is currently no clinical inhibitor, nor is there likely to be for the foreseeable future. The genes encoding metallo-β-lactamases are often procured by class 1 (sometimes class 3) integrons, which, in turn, are embedded in transposons, resulting in a highly transmissible genetic apparatus. Moreover, other gene cassettes within the integrons often confer resistance to aminoglycosides, precluding their use as an alternative treatment. Thus far, the metallo-β-lactamases encoded on transferable genes include IMP, VIM, SPM, and GIM and have been reported from 28 countries. Their rapid dissemination is worrisome and necessitates the implementation of not just surveillance studies but also metallo-β-lactamase inhibitor studies securing the longevity of important anti-infectives.
2 2 7 Se p 20 01 “ Quantal ” behavior in classical probability

Phenomena generally believed specific to quantum mechanics — the incompatibility and valueindeterminacy of variables, the non-existence of dispersion-free states, the failure of the standard marginal-probability formula, and the failure of the distributive law of disjunction (“interference”) — are exemplified in a fully non-quantal setting: Sequences of events in a nondeterministic system of more than one variable (a deck of playing cards).
Control of Non-Linear Inverted Pendulum using Fuzzy Logic Controller

This paper proposes an intelligent control approach towards Inverted Pendulum in mechanical engineering. Inverted Pendulum is a well known topic in process control and offering a diverse range of research in the area of the mechanical and control engineering. Fuzzy controller is an intelligent controller based on the model of fuzzy logic i.e. it does not require accurate mathematical modelling of the system nor complex computations and it can handle complex and non linear systems without linearization. Our objective is to implement a Fuzzy based controller and demonstrate its application to Inverted Pendulum. Model design and simulation are done in MATLAB SIMULINK ® software.
A Time-Aware Fault Tolerance Scheme to Improve Reliability of Multilevel Phase-Change Memory in the Presence of Significant Resistance Drift

Because of its promising scalability potential and support of multilevel per cell storage, phase-change memory has become a topic of great current interest. However, recent studies show that structural relaxation effect makes the resistance of phase-change material drift over the time, which can severely degrade multilevel per cell phase-change memory storage reliability. This makes powerful memory fault tolerance solutions indispensable, where error correction code (ECC) will play an essential role. This work aims to develop fault tolerance solutions that can effectively compensate memory cell resistance drift. First, based upon information-theoretical study, we show that conventional use of ECC, which is unaware of memory content lifetime, can only achieve the performance with a big gap from the information-theoretical bounds. This motivates us to study the potential of time-aware memory fault tolerance, where the basic idea is to keep track the memory content lifetime and use this lifetime information to accordingly adjust how memory cell resistance is quantized and interpreted for ECC decoding. Under this time-aware fault tolerance framework, we study the use of two types of ECCs, including classical codes such as BCH that only demand hard-decision input and advanced codes such as low-density parity-check (LDPC) codes that demand soft-decision probability input. Using hypothetical four-level per cell and eight-level per cell phase-change memory with BCH and LDPC codes as test vehicles, we carry out extensive analysis and simulations, which demonstrate very significant performance advantages of such time-aware memory fault tolerance strategy in the presence of significant memory cell resistance drift.
Determinants of the Euro Real Effective Exchange Rate: A Beer/Peer Approach

This paper presents an empirical analysis of the medium-term determinants of the euro effective exchange rate. The empirical analysis builds on synthetic quarterly data from 1975 to 1998, and derives a Behavioural Equilibrium Exchange Rate (BEER) and a Permanent Equilibrium Exchange Rate (PEER). Four different model specifications are retained, due to the difficulties encountered in specifying an encompassing model. Results indicate that differentials in real interest rates and productivity, and (in some specifications) the relative fiscal stance and the real price of oil, have a significant influence on the euro effective exchange rate. Assessing the existence and the extent of the over- or undervaluation of the exchange rate is not straightforward, since these different specifications often lead to contrasting findings. However, all four models point unambiguously to the undervaluation of the euro in 2000, although the extent of this undervaluation largely depends on the specification chosen.
HONOR: Hybrid Optimization for NOn-convex Regularized problems

Recent years have witnessed the superiority of non-convex sparse learning formulations over their convex counterparts in both theory and practice. However, due to the non-convexity and non-smoothness of the regularizer, how to efficiently solve the non-convex optimization problem for large-scale data is still quite challenging. In this paper, we propose an efficient Hybrid Optimization algorithm for NOn-convex Regularized problems (HONOR). Specifically, we develop a hybrid scheme which effectively integrates a Quasi-Newton (QN) step and a Gradient Descent (GD) step. Our contributions are as follows: (1) HONOR incorporates the second-order information to greatly speed up the convergence, while it avoids solving a regularized quadratic programming and only involves matrix-vector multiplications without explicitly forming the inverse Hessian matrix. (2) We establish a rigorous convergence analysis for HONOR, which shows that convergence is guaranteed even for non-convex problems, while it is typically challenging to analyze the convergence for non-convex problems. (3) We conduct empirical studies on large-scale data sets and results demonstrate that HONOR converges significantly faster than state-of-the-art algorithms.
Functional alterations in adult rat myocytes after overexpression of phospholamban with use of adenovirus.

An increased phospholamban (PLB)-to-sarco(endo)plasmic reticulum Ca(2+)-ATPase (SERCA) ratio has been suggested to contribute to the slowing of relaxation in failing human ventricle. We have used an adenoviral vector carrying the sequence for PLB to increase this ratio in isolated adult rat ventricular myocytes, and we have examined the functional consequences. With use of adenoviral vectors, the PLB content of adult rat myocytes was increased 2.73-fold, with SERCA2a levels unchanged. Maximum contraction amplitude of PLB-overexpressing myocytes was decreased to 6.9 +/- 0.3% shortening compared with 11.2 +/- 0.8% for 24-h controls (Con; P < 0.001, 5 preparations, 103 myocytes). Maximum rates of shortening and relengthening were also significantly decreased. Ca(2+) transient amplitudes were slightly depressed, and time to 50% decay of the transients was significantly increased: 237 +/- 18 (n = 14 myocytes) and 432 +/- 32 ms in Con and PLB (n = 15) myocytes, respectively (P < 0.001). The amount of Ca(2+) in the sarcoplasmic reticulum stores was reduced by 21% (P < 0.05). Relaxation was significantly slower in PLB than in Con myocytes when the Na(+)/Ca(2+) exchanger was blocked but not when sarcoplasmic reticulum Ca(2+) uptake was inhibited. Adenovirus infection with Ad.RSV. PLB was therefore able to produce functional changes in adult cardiac myocytes within 24 h, consistent with overexpression of PLB and similar to those seen in failing human heart.
Nardostachys jatamansi Root Extract Modulates the Growth of IMR-32 and SK-N-MC Neuroblastoma Cell Lines Through MYCN Mediated Regulation of MDM2 and p53

Aim: The present study evaluated the effect of ethanolic extract of Nardostachys jatamansi roots (NJet) on MYCN mediated regulation of expression of MDM2 and p53 proteins in neuroblastoma cell lines, IMR-32 and SK-N-MC. Materials and Methods: The effect of NJet on cell viability was determined by MTT; and on growth kinetics was evaluated by trypan blue dye exclusion method and soft agar assay. The expression of p53, MDM2 and MYCN proteins in response to NJet treatment was evaluated by immunoblotting. Results: NJet decreased the viability of neuroblastoma cells without affecting the viability of non-cancerous, HEK-293 cells. It altered the growth kinetics of the cancer cells in a dose-dependent manner. NJet down regulated the expression of MYCN and MDM2 proteins with a simultaneous increase in the expression of tumor suppressor protein p53. Conclusions: The present data demonstrated that NJet regulated the growth of IMR-32 and SK-N-MC through reduction in MYCN expression that lead to down regulation of MDM2 protein and increase in p53 expression. These preliminary results warrant further in depth studies to explore the therapeutic potential of Nardostachys jatamansi in the management of neuroblastoma. Abbreviations used: NJet: N. jatamansie thanolic extract; MTT: 3-(4, 5-dimethylthiazol-2-yl)-2, 5-diphenylthiazolium bromide; FBS: Fetal bovine serum; FITC: Fluorescein isothiocyanate