Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterization of the Biocontrol Activity of Pseudomonas fluorescens Strain X Reveals Novel Genes Regulated by Glucose

Pseudomonas fluorescens strain X, a bacterial isolate from the rhizosphere of bean seedlings, has the ability to suppress damping-off caused by the oomycete Pythium ultimum. To determine the genes controlling the biocontrol activity of strain X, transposon mutagenesis, sequencing and complementation was performed. Results indicate that, biocontrol ability of this isolate is attributed to gcd gene encoding glucose dehydrogenase, genes encoding its co-enzyme pyrroloquinoline quinone (PQQ), and two genes (sup5 and sup6) which seem to be organized in a putative operon. This operon (named supX) consists of five genes, one of which encodes a non-ribosomal peptide synthase. A unique binding site for a GntR-type transcriptional factor is localized upstream of the supX putative operon. Synteny comparison of the genes in supX revealed that they are common in the genus Pseudomonas, but with a low degree of similarity. supX shows high similarity only to the mangotoxin operon of Ps. syringae pv. syringae UMAF0158. Quantitative real-time PCR analysis indicated that transcription of supX is strongly reduced in the gcd and PQQ-minus mutants of Ps. fluorescens strain X. On the contrary, transcription of supX in the wild type is enhanced by glucose and transcription levels that appear to be higher during the stationary phase. Gcd, which uses PQQ as a cofactor, catalyses the oxidation of glucose to gluconic acid, which controls the activity of the GntR family of transcriptional factors. The genes in the supX putative operon have not been implicated before in the biocontrol of plant pathogens by pseudomonads. They are involved in the biosynthesis of an antimicrobial compound by Ps. fluorescens strain X and their transcription is controlled by glucose, possibly through the activity of a GntR-type transcriptional factor binding upstream of this putative operon.
A Robust Estimator-Based Nonlinear Filtering Approach to Piecewise Biosignal Reconstruction

Many biophysical measurements involve source signals possessing piecewise characteristic. Recovery of the piecewise source from the noisy measurements through the linear filtering schemes fails due to the oversmoothing effect at jump discontinuities. Similarly, most of the nonlinear filters underperform at large noise level/outliers. In this paper, we propose a Huberized nonlinear filtering approach, which is penalized by the robust estimators, such as Huber, reversed-Huber (Berhu), and the total variation (TV) functions. By addressing the small residual values quadratically and large ones by their absolute errors, the effectiveness of the proposed methods is enhanced. The hidden sparsity structures of various piecewise signals are exploited. The convexity of the proposed cost functions ensures a global solution. The new approach outperforms the state-of-the-art methods by preserving the smoothness and sharp transitions of piecewise biosignals.
Designing from inside: steps in the evolution of a collaborative system

Users’ participation in the design process may change the overall goals of the design. Also, the context in which a prototype is tested might play a critical role in the design process. This paper presents how the contexts of use and a dialogue among users and designers shaped the DHS system. The DHS is a Web-based system that allows users to attach a commentary to certain Web documents. This system was used in a pilot study and two longitudinal case studies, defining a discussion context and an annotation context. Through a text-based commenting dialogue, users contributed ideas for the design and helped repair errors. The dialogue space also supported designers’ own communication by making new ideas and prototypes explicit. The experiences from the development of DHS have given valuable insights on how to achieve lightweight participatory design of collaborative systems.
Nondestructive Determination of the Permittivity Tensor of a Uniaxial Material Using a Two-Port Clamped Coaxial Probe

A two-port coaxial probe is introduced to nondestructively determine the permittivity tensor of a uniaxial material. The proposed approach possesses several advantages over existing techniques, e.g., only a single sample is required, the sample does not need to be rotated, and only a single measurement system is needed. The derivation of the theoretical scattering parameters is shown. This is accomplished by applying Love's equivalence theorem and the continuity of transverse magnetic fields to formulate a system of coupled integral equations. A necessary step in this approach is the derivation of the magnetic-current-excited uniaxial parallel-plate Green's function. The development of this Green's function is presented here using a new scalar potential formulation, which significantly reduces the difficulty of the probe's theoretical development. The system of coupled integral equations is solved using the method of moments to yield the theoretical scattering parameters. The permittivity tensor is found by minimizing the two-norm of the vector difference between the theoretical and measured scattering parameters via nonlinear least squares. To validate the probe, measurement results of a uniaxial absorber are presented and compared to those obtained using a focused-beam (free-space) measurement system. The probe's sensitivity to uncertainties in measured scattering parameters, sample thickness, and coaxial line properties is also investigated.
STD Score Combination with Acoustic Likelihood and Robust SCR Models for False Positives: Experiments at NTCIR-11 SpokenQuery&Doc

In this paper, we report our experiments at NTCIR-11 SpokenQuery&Doc task [1]. We participated both the STD and SCR subtasks of SpokenDoc. For STD subtask, We try to improve detection accuracy by combining the DTW distance between syllable sequences and the acoustic likelihood of the
Ontology-based Test Data Generation using Metaheuristics

Software testing is an expensive, yet essential stage in all software development models, thus there is a great effort from the research community to facilitate or even automate this step. Although much of the testing process is automated by modern software development environments (e.g., test execution, monitoring), the selection of test data remains generally a manual process. In this paper we present a novel approach for test data generation in case of testing data dependent behaviour of autonomous software agents. The proposed method uses the metamodel of the agent’s environment derived from the context ontology, and utilizes the input specifications to formulate the goal of testing. Our approach suggests the use of metaheuristic search techniques for the generation of optimal test data, usually referred to as search-based software test data generation.
The research of outlier data cleaning based on accelerating method

During the data integration process, it puts forward the accelerating trend comparison method to deal with the outlier data in this paper. Namely outlier data is discovered through the accelerating trend comparison. At the end of this article, it gives a specific description of the algorithm of outlier data cleaning results. It can improve the detection of outlier data and the data quality through the experiments.
Implementation of Arkansas’s Initiative to Reduce Suspension and Expulsion of Young Children

This article describes the development, initial implementation, and formative evaluation of Arkansas’s plan to reduce suspensions and expulsion from early care and education (ECE) settings. We describe how Arkansas used multifaceted implementation strategies to facilitate change in six areas: policy, workforce development, specialized supports, family partnerships, child screening, and data tracking. We also highlight key findings from the formative evaluation. For example, needs assessment data revealed that 40.8% of ECE providers suspended at least one child in the past year, and 9% expelled one or more children. We evaluated efforts to educate ECE providers on new nonexpulsion policies and new supports, and results indicate that 89.5% of directors agreed that they understand why young children should not be suspended or expelled, though the majority reported concern about implementing a nonexpulsion policy. Initial utilization data from a new ECE provider support system indicate that in the first quarter, 53 requests were submitted for help with challenging classroom behavior. Most requests involved male children over the age of 3, and one-third of the requests referenced traumatic events experienced by the children.
Design, Creativity and Human Computer Interaction Design Education

— In this paper, we investigate ways to engage computer science students, majoring in design, use, and interaction (with technology), in design practices through an advanced graduate course in interaction design. We take a closer look at how prior embodied and explicit knowledge of HCI that all of the students had before their enrollment in the course, combined with better understanding of design and design practice, and in particular the emergence of creativity on both individual and team levels, shapes them as human-computer interaction designers. We evaluate the results of the effort in terms of increase in creativity, novelty of ideas, body language when engaged in design activities, and in terms of perceptions of how well this course prepared the students for the work practice outside of the university, usually, in multidisciplinary settings.
in Computer Science and Software Engineering

— Intrusion detection is an alternative to the situation of the security violation.Security mechanism of the network is necessary against the threat to the system. There are two types of intruders: external intruders, who are unauthorized users of the machines they attack, and internal intruders, who have permission to access the system with some restrictions. This paper describes a brief overview of various intrusion detection techniques such as fuzzy logic, neural network, pattern recognition methods, genetic algorithms and related techniques is presented. Among the several soft computing paradigms, fuzzy rule-based classifiers, decision trees, support vector machines, linear genetic programming is model fast and efficient intrusion detection systems.
The Effects of High School Athletic Participation on Education and Labor Market Outcomes

We introduce a simple allocation-of-time model to explain the high school athletic participation choice and the implications of this choice for educational and labor market outcomes. Four different factors that could explain athletic participation are identified in the context of this model. A variety of tests of the model are provided using two data sets: the National Longitudinal Survey of Youth and the National Longitudinal Study of the High School Class of 1972. We find some evidence that athletic participation directly affects wages and educational attainment. However, much of the effect of athletic participation on wages and educational attainment appears to reflect differences across individuals in ability or value of leisure.
1 2 0 O ct 2 00 6 Are quantum ‘ irreality ’ and ‘ nonlocality ’ ineluctable ?

The early history of the development of Quantum Mechanics is surveyed to discern the arguments leading to the introduction of the notions of ‘irreal’ wave functions and ‘ nonlocal’ correlations. It is argued that the assumption that Quantum Mechanics is ‘complete’, i.e., not just a varia nt of Statistical Mechanics, is the feature compelling the introduction of these otherwise problematic propertie s. Additionally, a consequence of the error first found by JAYNES in proofs of BELL’s “theorem”, is illustrated. Finally, speculation on the p ractical consequences of recognising that “entanglement” is a feature of all hyperbo lic differential equations is proposed.
Comparing mouse and MAGIC pointing for moving target acquisition

Moving target acquisition is a challenging and manually stressful task if performed using an all-manual, pointer-based interaction technique like mouse interaction, especially if targets are small, move fast, and are visible on screen only for a limited time. The MAGIC pointing interaction approach combines the precision of manual, pointer-based interaction with the speed and little manual stress of eye pointing. In this contribution, a pilot study with twelve participants on moving target acquisition is presented using an abstract experimental task derived from a video analysis scenario. Mouse input, conservative MAGIC pointing and MAGIC button are compared considering acquisition time, error rate, and user satisfaction. Although none of the participants had used MAGIC pointing before, eight participants voted for MAGIC button being their favorite technique; participants performed with only slightly higher mean acquisition time and error rate than with the familiar mouse input. Conservative MAGIC pointing was preferred by three participants; however, mean acquisition time and error rate were significantly worse than with mouse input.
Comparative Study on Connected Component Labeling Algorithms for Embedded Video Processing Systems

The objective of this paper is to carry out a detailed analysis of the most popular connected components labeling (CCL) algorithms for binary images. This study investigates their usability for processing streaming data and suitability for implementation using Field-Programmable Gate Array (FPGA) devices. The first part of this paper presents the state of the art on CCL algorithms. Both capability for real-time video processing as well as memory requirements are taken into consideration. The second part of the paper describes an efficient implementation of the single pass labeling algorithm using a Virtex-II Pro FPGA. It is verified on the development board with an infrared camera module as a real-time video source. The system is capable of processing video stream with 640 x 480 pixels per frame at a speed of 30 fps limited by the bandwidth of the video source.
This can(’t) be an asset class: The world of money management, “society”, and the contested morality of farmland investments

Drawing on several years of fieldwork-based research on and in the “farmland investment space”, this paper argues that a combined reading of debates on assets and assetization in financialized capitalism and convention theory offers novel insights into the moral struggles associated with the transformation of farmland into an “alternative asset class”. It demonstrates that central to the assetization of farmland is the globally distributed effort to bestow it with a legitimate financial worth. While many financial actors paint the picture that farmland has an absolute or intrinsic value, and that this value can be “unlocked”, the paper demonstrates that farmland only gains its financial worth through collective yet contested practices of classification, valuation and valorization. This process has internal (related to the financial industry) and external (related to “society”) dimensions. Farmland only becomes a legitimate asset class if it can be meaningfully set in relation to other asset classes, and if the underlying “assets” generate legitimate returns to investors. At the same time, the legitimation of farmland as an “asset class” has been threatened by attacks of social forces such as NGOs, as accusations of immorality (i.e. “land grabbing”) have become major reputational risks for the supertankers of the industry – institutional investors. This notwithstanding, “capital” and its supporters have worked hard to overcome these internal and external barriers. Eventually, the case presented here allows us to problematize and repoliticize the often-invisiblized morality of finance, which is as much about “value” as it is about “values”.
Design and Analysis of $D$ -Band On-Chip Modulator and Signal Source Based on Split-Ring Resonator

In an effort toward high-speed and low-power I/O data link in the future exascale data server, this paper presents a signal source and a modulator in the <inline-formula> <tex-math notation="LaTeX">$D$ </tex-math></inline-formula>-band. The split-ring resonator (SRR) structures are used to boost both the signal power and the extinction ratio (ER). The modulator manifests itself as a compact SRR whose magnetic resonance frequency can be modulated by high-speed data. Such a magnetic metamaterial achieves a significant reduction of radiation loss with high ER by stacking two auxiliary SRR unit cells with interleaved placement. The high-Q tank for oscillation is realized by a stacked SRR decorated with slow-wave transmission line (T-line) for electric field confinement. A four-way power-combined fundamental 80-GHz coupled-oscillator network is magnetically synchronized by the slow-wave T-line, which is frequency doubled to 160 GHz. Fabricated in the 65-nm CMOS process, the measured results show that: 1) the modulator achieves 3-dB insertion loss at the on-state with 43-dB isolation at the off-state, leading to a 40-dB ER at 125 GHz within an area of only <inline-formula> <tex-math notation="LaTeX">$40\,\,\mu \text {m} \times 67\,\,\mu \text{m}$ </tex-math></inline-formula> and 2) the signal source achieves 6.3% frequency tuning range (FTR) with 3.7-mW peak output power at 160 GHz within 0.053-mm<sup>2</sup> active area. It has a measured phase noise of −105 dBc/Hz at 10-MHz offset, 5.5% dc-to-RF power efficiency, 70.1-mW/mm<sup>2</sup> power density, FOM of −171 dBc/Hz, and FOM<inline-formula> <tex-math notation="LaTeX">$_{T}$ </tex-math></inline-formula> of −172.7 dBc/Hz.
Sparse Channel Estimation for OFDM Systems Based on Sparse Reconstruction by Separable Approximation

In high-rate data orthogonal frequency division multiplex (OFDM) communication systems, many encountered channels trend to have the structure of sparse multipath. The systems over multipath channels usually require that the channel response be known at the receiver and thus channel estimation is required. In this paper, a novel scheme based on the typical least square (LS) and sparse reconstruction by separable approximation (SpaRSA) for the sparse channel estimation is presented to improve the poor performance of the LS and ℓ2-norm channel estimations. This proposed scheme can reach the global optimal solution and leads to superior channel estimation performance by applying LS estimates and introducing the noise effect into the regularization parameter in the SpaRSA algorithm. And the simulation results show the validity of the proposed approach.
Supportive, Comprehensive and Improved Privacy Protection for Web Browsing

Protecting users privacy on the Web is becoming increasingly complicated because of the silent actions of third party sites that spy, collect data, aggregate information and build profiles, transparently to end users, to provide targeted advertising. On the Web, users are loudly concerned about the large amount of information left in many locations during their navigation and claim more protection to safely conduct their online activities. We present, in this paper, a supportive, comprehensive and improved approach for privacy protection to allow users to be aware of the risks of their navigation and to give them full control on effective actions to address online privacy threats. Our approach is validated by a Mozilla Fire fox extension, No Trace, that provides the feasibility of the techniques, and whose efficiency is thoroughly tested on an extensive data set for effectiveness, impact on users experience and performances.
Variability Management in Dynamic Software Product Lines: A Systematic Mapping

Dynamic Software Product Lines (DSPLs) are SPLs in which the product configuration may occur at runtime. Over the last decade, DSPL has gained the interest of researchers as a way of modelling and developing dynamically adaptive systems. We have conducted a systematic mapping to discover how variability is modelled in DSPL approaches and which information is used to guide variability binding at runtime. This paper presents the results of our systematic mapping, which can be used to identify research trends and gaps for variability management in DSPLs.
Alternating Subspace-Spanning Resampling to Accelerate Markov Chain Monte Carlo Simulation

This article provides a simple method to accelerate Markov chain Monte Carlo sampling algorithms, such as the data augmentation algorithm and the Gibbs sampler, via alternating subspace-spanning resampling (ASSR). The ASSR algorithm often shares the simplicity of its parent sampler but has dramatically improved efficiency. The methodology is illustrated with Bayesian estimation for analysis of censored data from fractionated experiments. The relationships between ASSR and existing methods are also discussed.
RAYLEIGH QUOTIENT ITERATION FOR NONSYMMETRIC MATRICES STEVE BATTERSON AND

Rayleigh quotient iteration is an iterative algorithm for the calculation of approximate eigenvectors of a matrix. Given a matrix, the algorithm supplies a function whose iteration of an initial vector, vQ , produces a sequence of vectors, vn . If the matrix is symmetric, then for almost any choice of v0 the sequence will converge to an eigenvector at an eventually cubic rate. In this paper we show that there exist open sets of real matrices, each of which possesses an open set of initial vectors for which the algorithm will not converge to an eigenspace. The proof employs techniques from dynamical systems and bifurcation theory.
Efficient computation of flow insensitive interprocedural summary information

To understand when it is safe to apply a given optimization, a compiler must have explicit knowledge about the impact of executing individual statements on the values of variables accessible to the statements. The impact of a statement is termed its side effect. This paper describes a method for annotating each statement s in a program with a set MOD(s) conraining those variables whose values can be changed as a result of executing s. For statements which contain no procedure calls, the side effects can be determined by simple examination of the statement with some knowledge of the semantics of the source language.
The Effect of the RTS/CTS Handshake on TCP

Previous research enquiries into TCP performance in MANETs have largely assumed that the 802.11 RTS/CTS mechanism remains in full effect throughout the connection time. In this work we evaluate the effects on TCP goodput of utilising other modes of operation for the 802.11 handshake whilst remaining compliant with the original specification. To identify the source of the goodput discrepancies amongst the different modes of operation we introduce two new metrics to characterise spatial connection along a TCP connection and then use them to account for TCP goodput in string and mesh topologies when using different RTS/CTS strategies.
Relations Between Reading and Speech Manifest Universal Phonological Principle

All writing systems represent speech, providing a means for recording each word of a message. This is achieved by symbolizing the phonological forms of spoken words as well as information conveying grammar and meaning. Alphabetic systems represent the segmental phonology by providing symbols for individual consonants and vowels; some also convey morphological units. Other systems represent syllables (typically CVs) or morphosyllables. In all cases, learning to read requires a learner to discover the forms of language that writing encodes, drawing on metalinguistic abilities that are not needed for the acquisition of speech. Therefore, learning to read is harder and rarer than acquiring speech. Research reveals that skilled readers of every studied orthography access phonological language forms automatically and early in word reading. Although reading processes differ according to the cognitive demands of specific orthographic forms, the differences are subservient to the universal phonologic principle that all readers access phonological language forms.