Miracle-dz/UniFAR-FTUs huggingface dataset:
Common and variable domains of the flagellin gene, flaA, in Campylobacter jejuni

The organization of the flagellin gene locus in Campylobacter jejuni strain IN1 (Lior 7) was determined using the polymerase chain (PCR) reaction and a series of oligonucleotide primers. Two tandemly arranged flagellin genes of approximately 1.7 kb were found to be joined by an intervening segment of c. 0.2 kb, similar to that reported for Campylobacter coli. The 5′ flagellin gene, flaA, was generated by PCR and both strands sequenced. Comparison of the deduced amino acid sequence for C. jejuni FlaA with the published sequence for C. coli FlaA showed 77% identical amino acids between the proteins. Two common regions, C1 and C2, comprising the N‐terminal 170 amino acids and C‐terminal 100 amino acids, exhibit amino acids 94% and 96% identical to those of C. coli, respectively. The variable region, V1, comprising the middle of the protein, shows 61% identical residues with C. coli. Comparison of these regions with other bacterial flagellins reveals a similar pattern but with much less identity. Several areas within the V1 region correspond to predicted surface‐exposed regions and may represent areas in which surface epitopes are located.
WATER SUPPLY REMOTE MONITORING SYSTEM : A CASE STUDY

In recent years, there has been enormous research interest in natural resources monitoring. So, there is a need to develop easily accessible, cheap and reliable information systems for monitoring and early warning, which could be used in most natural resources. This paper presents an ongoing information system development that aims the monitoring and supervising of some parameters on water supply, such as quality and quantity. To implement our system we use several technologies in order to monitoring about 100 water tanks in an area of ±1000 Km. In these technologies is included GSM communication, web infrastructure and sensing equipment that allows the access of information from any place of the world. In paper sections the main blocks of the system architecture are described in detail.
topicmodels: An R Package for Fitting Topic Models

Topic models allow the probabilistic modeling of term frequency occurrences in documents. The fitted model can be used to estimate the similarity between documents as well as between a set of specified keywords using an additional layer of latent variables which are referred to as topics. The R package topicmodels provides basic infrastructure for fitting topic models based on data structures from the text mining package tm. The package includes interfaces to two algorithms for fitting topic models: the variational expectation-maximization algorithm provided by David M. Blei and co-authors and an algorithm using Gibbs sampling by Xuan-Hieu Phan and co-authors.
Design and Analysis of DWH and BI in Education Domain

Data warehouse acting as a decision support systems, Data warehouses standardize the data across the organization so that there will be one view of information. Data warehouses can provide the information required by the decision makers. Developing a data warehouse for educational institute is the less focused area as educational institutes are non-profit and service oriented organizations. In present day scenario where education has been privatized and cut throat competition is prevailing, institutes needs to be more organized and need to take better decisions. Educational institute’s enrollments are increasing as a result of increase in the number of branches and intake. Today, any reputed Institute’s enrollments count in to thousands. The management challenges include meeting diverse student needs, increased complexity in academic processes. The complexity of these challenges requires continual improvements in operational strategies based on accurate, timely and consistent information. The cost of building a data warehouse is expensive for any educational institution as it requires data warehouse tools for building data warehouse and extracting data using data mining tools from data warehouse. The present study provides an option to build data warehouse and extract useful information using data warehousing and data mining open source tools.
Spectroscopy of the γ-ray burst GRB 021004 : a structured jet ploughing through a massive stellar wind

We present spectra of the afterglow of the γ-ray burst GRB 021004 taken with the ISIS spectrograph on the William Herschel Telescope (WHT) and with the Focal Reducer/Low Dispersion Spectrograph 1 (FORS1) on the Very Large Telescope (VLT) at three epochs spanning 0.49-6.62 d after the burst. We observe strong absorption probably coming from the host galaxy, alongside absorption in H i, Si iv and C iv with blueshifts of up to 2900 km s -1 from the explosion centre, which we assume originates close to the progenitor. We find no significant variability of these spectral features. We investigate the origin of the outflowing material and evaluate various possible progenitor models. The most plausible explanation is that these result in the fossil stellar wind of a highly evolved Wolf-Rayet (WR) star. However, ionization from the burst itself prevents the existence of H I, Si iv and C iv close to the afterglow surface where the fast stellar wind should dominate, and large amounts of blueshifted hydrogen are not expected in a WR star wind. We propose that the WR star wind is enriched by a hydrogen-rich companion, and that the GRB has a structured jet geometry in which the γ-rays emerge in a small opening angle within the wider opening angle of the cone of the afterglow. This scenario is able to explain both the spectral-line features and the irregular light curve of this afterglow.
H-Bridge transformerless inverter with common ground for single-phase solar-photovoltaic system

This paper proposes a new single-phase H-Bridge transformerless inverter with common ground for grid-connected photovoltaic systems (hereafter it is called ‘Siwakoti-H’ inverter). The inverter works on the principle of flying capacitor and consists of only four power switches (two reverse blocking IGBT's (RB-IGBT) and two MOSFET's), a capacitor and a small filter at the output stage. The proposed topology share a common ground with the grid and the PV source. A Unipolar Sinusoidal Pulse-Width Modulation (SPWM) technique is used to modulate the inverter to minimize switching loss, output current ripple and filter requirements. The main advantages of the new inverter topology are the elimination of the leakage current and ability to provide reactive power to the grid. Further, the peak of output ac voltage is equal to input dc-voltage (unlike NPC and ANPC type which requires two times of the peak ac-voltage magnitude). Simulation as well as experimental results from a 1 kW prototype are presented at the end of the paper to prove the concept and also the theoretical analysis presented.
A colonel blotto game for interdependence-aware cyber-physical systems security in smart cities

Smart cities must integrate a number of interdependent cyber-physical systems that operate in a coordinated manner to improve the well-being of the city's residents. A cyber-physical system (CPS) is a system of computational elements controlling physical entities. Large-scale CPSs are more vulnerable to attacks due to the cyber-physical interdependencies that can lead to cascading failures which can have a significant detrimental effect on a city. In this paper, a novel approach is proposed for analyzing the problem of allocating security resources, such as firewalls and anti-malware, over the various cyber components of an interdependent CPS to protect the system against imminent attacks. The problem is formulated as a Colonel Blotto game in which the attacker seeks to allocate its resources to compromise the CPS, while the defender chooses how to distribute its resources to defend against potential attacks. To evaluate the effects of defense and attack, various CPS factors are considered including human-CPS interactions as well as physical and topological characteristics of a CPS such as flow and capacity of interconnections and minimum path algorithms. Results show that, for the case in which the attacker is not aware of the CPS interdependencies, the defender can have a higher payoff, compared to the case in which the attacker has complete information. The results also show that, in the case of more symmetric nodes, due to interdependencies, the defender achieves its highest payoff at the equilibrium compared to the case with independent, asymmetric nodes.
The Cost of Punctuality

In an influential paper titled "The benefits of relaxing punctuality" [2], Alur, Feder, and Henzinger introduced Metric Interval Temporal Logic (MITL) as a fragment of the real-time logic metric temporal logic (MTL) in which exact or punctual timing constraints are banned. Their main result showed that model checking and satisfiability for MITL are both EXPSPACE-Complete. Until recently, it was widely believed that admitting even the simplest punctual specifications in any linear-time temporal logic would automatically lead to undecidability. Although this was recently disproved, until now no punctual fragment of MTL was known to have even primitive recursive complexity (with certain decidable fragments having provably non-primitive recursive complexity). In this paper we identify a "co-flat' subset of MTL that is capable of expressing a large class of punctual specifications and for which model checking (although not satisfiability) has no complexity cost over MITL. Our logic is moreover qualitatively different from MITL in that it can express properties that are not timed-regular. Correspondingly, our decision procedures do not involve translating formulas into finite-state automata, but rather into certain kinds of reversal-bounded Turing machines. Using this translation we show that the model checking problem for our logic is EXPSPACE-Complete.
Ambiguity of Queries and the Challenges for Query Language Detection

In this paper, a sample set of 510 simple searches from the TEL action log 2009 is analyzed for query content and query language. More than half of the queries are for named entities, which has consequences for query language disambiguation. A manual identification of query language finds that often a definite language cannot be determined, because many named entities are not translated. Problems and challenges for query category and language identification are discussed. Further analysis shows that IP address and interface language are not very strong indicators for determining the query language.
Orientation controllable epitaxial vapor-liquid-solid semiconductor nanowire synthesis on Silicon substrate

Chung, Sung Hwan Ph.D., Purdue University, August 2013. Orientation Controllable Epitaxial Vapor-Liquid-Solid Semiconductor Nanowire Synthesis on Silicon Substrate. Major Professors: Chen Yang and Timothy D. Sands. Semiconductor nanowires synthesized via the vapor-liquid-solid (VLS) mechanism have attracted extensive research interest in recent years owing to their unique structure as a promising candidate for the future electronic devices. Germanium and silicon nanowires, in particular, are compatible with the current silicon-based technology via direct assembly. However, one of the main challenges for the successful nanowire application in large-scale is the lack of the method for obtaining nanowires in desired positions and directions. Therefore, the comprehensive, systematic understanding of epitaxial nanowire growth and the more suitable method to align nanowires on novel structure are required. In this work, the synthesis of direction and position controlled VLS germanium and silicon nanowire on silicon substrate and its application in the unique structure will be introduced. First, the growth of heteroepitaxial germanium nanowires on silicon substrate is shown. The annealing temperature prior to following germanium nanowire growth should be lower than the eutectic temperature of substrate-catalyst for the heteroepitaxial growth of germanium nanowire. Second, the homoepitaxially vertical silicon nanowires are grown on silicon substrate through the consideration of the catalyst size and additional diborane dopant gas flow. As the flow of impurity diborane is required at the beginning of synthesis, the modulation-doping method creates the vertically aligned silicon nanowire with less doped or intrinsic part in the stem structure. Third, horizontal arrays of silicon nanowires on the unique trench structure are demonstrated. This planar alignment
Fog computing-based intelligent inference performance evaluation system integrated internet of thing in food cold chain

The perishable and fresh products are one of the main drivers through food life cycle for consumer in today's competitive environment. Cold chain literatures review are widely discussed to food safety and quality. In recent years, cold chain has centered on the consumer satisfaction for fresh food. Furthermore, it is special important for tourism food industry. Thence, this article proposes that three issues (tourism, cold technologies and traceability) are critical assessment factors for food product quality and safety using cold chain system in performance evaluation. No study has yet been published that considers the fog computing-based cold chain implicit to tourism-related food consumption. There are mainly two types of performance evaluation systems for cold chain network in Tourism, the T-S fuzzy inference and the fog computing based on ANN (artificial Neural networks) theory. The numerical example and experiments is discussed by utilizing different defuzzifier algorithm between T-S fuzzy and Best Non-fuzzy Performance Value (BNP).
An umbilical data-acquisition system for measuring pressures between the foot and shoe

An umbilical data-acquisition system has been developed for measuring pressure between the foot and shoe during walking. It consists of pressure sensors in the insoles of shoes, amplifier circuits, umbilical cables, a 12-b analog-to-digital converter, and a graphics display card in an IBM PC for real-time data collection and display. The applied pressure on a sensor decreases its resistance, which causes the output voltage of the amplifier circuit to increase. Seven sensors were attached to the surface of each insole of a pair of extra-depth shoes and calibrated in the insole before and after each test using a load cell as a reference. The IBM PC samples the outputs from the sensor and the load cell and stores a piecewise-linear lookup table for use in compensation for the nonlinearity of the sensor. On the PC's graphics display, two programs provide displays of foot pressures as real-time bar graphs or as analog pressure versus time curves. <<ETX>>
Low-Power link quality estimation in smart grid environments

Several Link Quality Estimators (LQEs) have been proposed for Wireless Sensor Networks. However, their adequacy to smart grid environments has not been properly investigated. This paper addresses the problem of efficient low-power link quality estimation for smart grid environments. The first part of this paper presents a performance study of representative LQEs, namely ETX, four-bit and F-LQE, in three typical smart grid environments. These LQEs are evaluated in terms of reliability, stability and reactivity, by analyzing their statistical behavior. This study shows that F-LQE is more reliable and more stable than ETX and four-bit. However, it is not the most efficient for smart grid due to the lack of reactivity and also its higher complexity. Hence, the second part of this paper introduces Opt-FLQE, an optimized version of F-LQE that overcomes its limitations. The performance analysis of Opt-FLQE shows that it is more reactive than F-LQE while still being more reliable.
Automatic Acquisition of Hierarchical Transduction Models for Machine Translation

We describe a method for the fully automatic learning of hierarchical finite state translation models. The input to the method is transcribed speech utterances and their corresponding human translations, and the output is a set of head transducers, i.e. statistical lexical head-outward transducers. A word-alignment function and a head-ranking function are first obtained, and then counts are generated for hypothesized state transitions of head transducers whose lexical translations and word order changes are consistent with the alignment. The method has been applied to create an English-Spanish translation model for a Speech translation application, with word accuracy of over 75% as measured by a string-distance comparison to three reference translations.
Transcriptional Profiling the 150 kb Linear Megaplasmid of Borrelia turicatae Suggests a Role in Vector Colonization and Initiating Mammalian Infection

Adaptation is key for survival as vector-borne pathogens transmit between the arthropod and vertebrate, and temperature change is an environmental signal inducing alterations in gene expression of tick-borne spirochetes. While plasmids are often associated with adaptation, complex genomes of relapsing fever spirochetes have hindered progress in understanding the mechanisms of vector colonization and transmission. We utilized recent advances in genome sequencing to generate the most complete version of the Borrelia turicatae 150 kb linear megaplasmid (lp150). Additionally, a transcriptional analysis of open reading frames (ORFs) in lp150 was conducted and identified regions that were up-regulated during in vitro cultivation at tick-like growth temperatures (22°C), relative to bacteria grown at 35°C and infected murine blood. Evaluation of the 3’ end of lp150 identified a cluster of ORFs that code for putative surface lipoproteins. With a microbe’s surface proteome serving important roles in pathogenesis, we confirmed the ORFs expression in vitro and in the tick compared to spirochetes infecting murine blood. Transcriptional evaluation of lp150 indicates the plasmid likely has essential roles in vector colonization and/or initiating mammalian infection. These results also provide a much needed transcriptional framework to delineate the molecular mechanisms utilized by relapsing fever spirochetes during their enzootic cycle.
No . 9 , May 2015 27 Context Based Image Retrieval using Image Features

Context based image retrieval is useful to effectively retrieve images based on its context from the massive collection available on the web. Content based image retrieval system is effective only to recognize and retrieve specific objects. It fails when the image has multiple objects and the objects are cluttered. In this work an algorithm has been proposed which facilitates the search based on the context,”arrangement of an object with respect to other objects” in a given image. Image containing the objects with its context is chosen as input, images which have the chosen object with the similar context have been retrieved from the dataset. Supervised segmentation and labelling of an image has been done. Features such as Histogram Orientation of Gradients (HOG), Scale Invariant Feature Transform (SIFT), 1-D signature, Gray Level Co-occurrence Matrix (GLCM) texture properties, Statistical properties (mean, standard deviation), Speeded Up Robust Features (SURF) and Colour Histogram are extracted from the image. Given a training set of images, context is learnt using the minimum distance classifier based on the extracted features. Study of this algorithm on the Kitchen Scene in the Scene UNderstanding (SUN 09) data set has been done. Image retrieval is done based on all the set of features extracted from the images. Context based image retrieval system has been widely used in object recognition, person identification within the context of personal photo collection and image annotation.
Quantifying the effectiveness of testing via efficient residual path profiling

Software testing is extensively used for uncovering bugs in large, complex software. Testing relies on well designed regression test suites that anticipate all reasonable software usage scenarios. Unfortunately, testers today have no way of knowing how much of real-world software usage was untested by their regression suite. Recent advances in low-overhead path profiling provide the opportunity to rectify this deficiency and perform residual path profiling on deployed software. Residual path profiling identifies all paths executed by deployed software that were untested during software development. We extend prior research to perform low-overhead interprocedural path profiling. We demonstrate experimentally that low-overhead path profiling, both intraprocedural and interprocedural, provides valuable quantitative information on testing effectiveness. We also show that residual edge profiling is inadequate as a significant number of untested paths include no new untested edges.
Use of Hard and Soft Models of HRM to illustrate the gap between Rhetoric and Reality in Workforce Management

At the rhetorical level many organisations espouse the "soft" version of Human Resource Management (HRM) that focuses on treating employees as valued assets and a source of competitive advantage. However, organisational reality appears "hard" with an emphasis on the quantitative, calculative and strategic aspects of managing a "head count". The dichotomy of soft and hard HRM (termed Developmental Humanism and Utilitarian Instrumentalism) has been identified by Legge (1989) in her critique of the normative model of HRM. Noon (1994) suggests that this dichotomy in HRM manifests itself as a gap between rhetoric and reality. Truss et al.'s (1997) study involving eight in depth case studies confirms this gap. Whilst this study found that there were no pure examples of soft or hard HRM, "the rhetoric adopted by the companies frequently embraces the tenets of the soft, commitment model, while the reality experienced by employees is more concerned with strategic control, similar to the hard model". It is necessary to expose the gap between rhetoric and reality so that organisations can clearly review the effectiveness of their human resource strategies, human resource functions can clearly identify their role and the pluralist needs of employees be met. This study uses hard and soft concepts of HRM to explore the gap between rhetoric and reality in Australian organisations using annual reports to assess rhetoric and existing workforce surveys to assess reality. The outcomes of this study support the findings of Truss et al. that organisational rhetoric is soft and reality is hard. Frequently organisation initiatives initially appear soft, however, when they are examined closely they are hard, with practices of empowerment, involvement, communication and training generally restricted to the improvement of bottom-line performance. Further research is required to examine the antecedents and consequences of this gap for organisations and employees.