Miracle-dz/UniFAR-FTUs huggingface dataset:
Skyline and Top-k Processing in Web Bargaining

Skyline and top-k queries are gaining increasing importance in many emerging applications. Current skyline and top-k query processing techniques work on deterministic object attributes and known scores. However, in many practical scenarios these settings are inapplicable. In this paper we focus on web interaction scenarios where each interaction is a data object with a set of possible outcomes (scores). Obtaining exact interaction scores is expensive as it involves complex arbitration between interacting parties. Moreover, the outcome of each interaction might redefine other interactions scores. We demonstrate that the search space for solving such problems is very large. Based on this we formulate and present skyline and top-k processing algorithms that can efficiently reduce the search space. We present the results of a thorough experimental evaluation quantifying the relative performance of the algorithms we propose herein with respect to costly exact solutions. Our results indicate that our techniques can efficiently reduce the space and identify precise solutions.
Post‐transcriptional regulation contributes to Drosophila clock gene mRNA cycling

The period (per) and timeless (tim) genes are intimately involved in the generation and maintenance of Drosophila circadian rhythms. Both genes are expressed in a circadian manner, and the two proteins (PER and TIM) participate in feedback regulation which contributes to the mRNA oscillations. Previous studies indicate that the circadian regulation is in part transcriptional. To investigate quantitative features of per and tim transcription, we analyzed the in vivo transcription rate in fly‐head nuclei with a nuclear run‐on assay. The results show a robust transcriptional regulation, which is similar but not identical for the two genes. In addition, per mRNA levels are regulated at a post‐transcriptional level. This regulatory mode makes a major contribution to the per mRNA oscillations from a previously described per transgenic strain as well as to the mRNA oscillations of a recently identified Drosophila circadianly regulated gene (Crg‐1). The data show that circadian mRNA oscillations can take place without evident transcriptional regulation.
Boosted Voting Scheme on Classification

Ensemble of classifiers has been an interesting research topic in the area of machine learning. In this paper, we propose a new ensemble scheme which focuses on driving the relationship between multiple learning algorithms and variant data distributions. The advantage of the framework can form an expressive hypotheses combination allowing a set of learning algorithms with respect to the data distributions, instead of majority voting scheme which was commonly employed for improving the prediction stability or a weak learning algorithm needed in bagging/boosting/random-forest algorithm. Experimental results on several UCI benchmark datasets demonstrate that the proposed scheme gains a worthwhile valuable performance on the classification learning task.
Efficient handling of heterogeneous file formats in HDFS

The amount of data in our industry and the world is exploding. Big data is a popular term used to describe the exponential growth and availability of data, both structured and unstructured. In an Organization, there are multiple types of documents collected from the different sources. This documents that needs to be accessible immediately; documents that needs to be accessed within a few seconds or minutes; and documents that is accessed in frequently. While these types of documents play different roles within an organization, each is valuable. These different types of documents require different kinds of storage solutions. For handling of such heterogeneous file format we use Hadoop. In Hadoop, storage of different documents is provided by HDFS (Hadoop Distributed File System). Also in educational organization, documents categorization is one of the most important tasks. Availability of a document and need of providing a category to a document motivated for implementing this project.
PROTOPLANETARY DISK EVOLUTION AROUND THE TRIGGERED STAR-FORMING REGION CEPHEUS B

The Cepheus B (Cep B) molecular cloud and a portion of the nearby Cep OB3b OB association, one of the most active regions of star formation within 1 kpc, have been observed with the Infrared Array Camera detector on board the Spitzer Space Telescope. The goals are to study protoplanetary disk evolution and processes of sequential triggered star formation in the region. Out of ∼400 pre-main-sequence (PMS) stars selected with an earlier Chandra X-ray Observatory observation, ∼95% are identified with mid-infrared sources and most of these are classified as diskless or disk-bearing stars. The discovery of the additional >200 IR-excess low-mass members gives a combined Chandra+Spitzer PMS sample that is almost complete down to 0.5 M☉ outside of the cloud, and somewhat above 1 M☉ in the cloud. Analyses of the nearly disk-unbiased combined Chandra and Spitzer-selected stellar sample give several results. Our major finding is a spatio-temporal gradient of young stars from the hot molecular core toward the primary ionizing O star HD 217086. This strongly supports the radiation-driven implosion (RDI) model of triggered star formation in the region. The empirical estimate for the shock velocity of ∼1 km s−1 is very similar to theoretical models of RDI in shocked molecular clouds. The initial mass function (IMF) of the lightly obscured triggered population exhibits a standard Galactic field IMF shape. The unusually high apparent value of ≳70% star formation efficiency inferred from the ratio of star mass to current molecular gas mass indicates that most of the Cep B molecular cloud has been already ablated or transformed to stars. Contrary to the current RDI simulations, our findings indicate that star formation triggering by H ii region shocks is not restricted to a single episode but can continue for millions of years. Other results include: (1) agreement of the disk fractions, their mass dependency, and fractions of transition disks with other clusters; (2) confirmation of the youthfulness of the embedded Cep B cluster; (3) confirmation of the effect of suppression of time-integrated X-ray emission in disk-bearing versus diskless systems.
Query by sketch: An asymmetric sketch-vs-image retrieval system

This paper presents a novel query method in sketch-based image searching system. Semantically similar images can be retrieved via user-drawn sketches in large image collections. Firstly the system analyses the spatial distribution of user's sketch and computes the weight map. And then the system extracts features from the query sketch. The edge map descriptor and haar wavelet transform feature are used, which can match user-drawn sketch with the target image efficiently. To substantiate our approach, we build a retrieval system and allow the user to express a query as a simple sketch portraying ‘what’ she/he is looking for. We also show how our method can be used for the asymmetric sketch-vs-image retrieval efficiently.
A search method for on-line handwritten text employing writing-box-free handwriting recognition

This paper presents a method for writing-box-free on-line handwritten text search. It searches for a target keyword in the lattice composed of candidate segmentations and candidate characters. By considering the accuracy of the recognition method and the length of the keyword, the method decreases noises to be output from the lattice effectively. When the keyword consists of three characters, we have achieved the recall rate 89.4%, the precision rate 93.2% and F measure 0.912.
DOA estimation based on the microphone array for the time-varying number of sound signals

In this paper, the problem of estimating the directions of arrival (DOAs) for an unknown number of sound sources is addressed using a microphone array. In outdoor environments, the reverberation is not considered, so the pure delay mixture model is typically adopted here. Since the sound signal is usually wide-band and non-stationary, the Short Time Fourier Transform (STFT) is employed. However in practical applications, the missing or appearing of sources frequently occurs, resulting in a time-varying number of targets. To deal with this problem, a new preprocessing method is presented to partition the whole time domain into some small time windows. In each time window, the sample covariance is computed and used to produce the DOA estimate. Moreover, two methods (Eigenvalue-based and Information Theory-based) are used for estimating the number of independent sources. Some selected simulation results are given to demonstrate the estimation performance for the DOAs, and the time accuracy for detecting the change of the number of sources.
Business intelligence: An artificial bee colony optimization approach

Data mining is a knowledge discovery process which deals with the broad process of finding knowledge in data analyzing large storage of data in order to identify the relevant data. It is a powerful tool to uncover relationships within the data. Business intelligence (BI), is a distinctive term that refers to a lot of software applications, it is normally used to investigate a company's raw data for automatic decision making. The main concept of BI is a fact-based decision making and the result must be unique truth. The important function of BI systems is to afford decision makers with tools and techniques that permit them to create efficient and suitable decisions. Nature inspired algorithms have their process observed in nature as their origin. The best feature of Artificial honey bee algorithm, which is a nature inspired swarm algorithm based on the behaviour of natural bee colonies. It is a parallel search over the problem data and previously obtained results from it.
Monetary and exchange rate policies, EMU and Central and Eastern Europe

The continuing global crisis, in which countries on several continents have experienced banking crisis and speculative attacks on their exchange rates, reinforces the need for Europe's transition economies to find a robust strategy for macroeconomic policy in the period leading up to accession and in preparation for joining EMU. This report examines three of the issues that need to be resolved along the way. First, as transformation continues, how should policy-makers think about the actual and the desirable evolution of the real exchange rate in transition economies? Second, what nominal anchor should be adopted? Third, to what extent must any credible monetary policy be underpinned by sound fiscal policy? Implicit in all these questions is the appropriate speed of disinflation, tradeoffs between fiscal prudence and adequate government expenditure on infrastructure and regulatory capacity, and implications for capital flows and the vulnerability of the banking system.
Photo-consistent surfaces from a sparse set of viewpoints

We address the problem of reconstructing 3D shapes from color data available in a sparse set of views from all directions of a scene. As an advantage when compared to multiview stereo approaches, our method is able to reconstruct object surfaces from a small number of views in wide-baseline setups. This introduces a trade-off between reconstruction accuracy and spatial coverage. The proposed algorithm obtains candidate surface points using a photo-consistency test and restricting the analysis to foreground pixels. The final surface points are extracted by iteratively carving away candidate points that are not photo-consistent with the complete multiview set. Finally, a surface patch is obtained from each colored surface point by estimating its orientation. Experimental results reflect the validity of the approach by comparing it to a voxelized implementation.
Internet Wireless network

Service-oriented wireless mesh networks have recently been receiving intensive attention as a pivotal component to implement the concept of ubiquitous computing due to their easy and costeffective deployment. To deliver a variety of services to subscriber stations, a large volume of traffic is exchanged via mesh routers in the mesh backbone network. One of the critical problems in service-oriented wireless mesh networks is to improve the network throughput. Wireless network coding is a key technology to improve network throughput in multihop wireless networks since it can exploit not only the broadcast nature of the wireless channel, but also the native physical-layer coding ability by mixing simultaneously arriving radio waves at relay nodes. We first analyze the throughput improvement obtained by wireless network coding schemes in wireless mesh networks. Then we develop a heuristic joint link scheduling, channel assignment, and routing algorithm that can improve the network throughput for service-oriented wireless mesh networks. Our extensive simulations show that wireless network coding schemes can improve network throughput by 34 percent. NETWORK-CODING-BASED SCHEDULING AND ROUTING SCHEMES FOR SERVICE-ORIENTED WIRELESS MESH NETWORKS The research reported in this article was supported in part by the U.S. National Science Foundation CAREER Award under Grant ECS-0348694. 1 The services can be available to all mesh clients in the mesh network. The mesh clients, which do not connect with the gateway mesh router directly, can connect to it through multihop communications. Wireless network
Growth Phase, Oxygen, Temperature, and Starvation Affect the Development of Viable but Non-culturable State of Vibrio cholerae

Vibrio cholerae can enter into a viable but non-culturable (VBNC) state in order to survive in unfavorable environments. In this study, we studied the roles of five physicochemical and microbiological factors or states, namely, different strains, growth phases, oxygen, temperature, and starvation, on the development of VBNC of V. cholerae in artificial sea water (ASW). Different strains of the organism, the growth phase, and oxygen levels affected the progress of VBNC development. It was found that the VBNC state was induced faster in V. cholerae serogroup O1 classical biotype strain O395 than in O1 El Tor biotype strains C6706 and N16961. When cells in different growth phases were used for VBNC induction, stationary-phase cells lost their culturability more quickly than exponential-phase cells, while induction of a totally non-culturable state took longer to achieve for stationary-phase cells in all three strains, suggesting that heterogeneity of cells should be considered. Aeration strongly accelerated the loss of culturability. During the development of the VBNC state, the culturable cell count under aeration conditions was almost 106-fold lower than under oxygen-limited conditions for all three strains. The other two factors, temperature and nutrients-rich environment, may prevent the induction of VBNC cells. At 22 or 37°C in ASW, most of the cells rapidly died and the culturable cell count reduced from about 108 to 106–105 CFU/mL. The total cell counts showed that cells that lost viability were decomposed, and the viable cell counts were the same as culturable cell counts, indicating that the cells did not reach the VBNC state. VBNC state development was blocked when ASW was supplied with Luria-Bertani broth (LB), but it was not affected in ASW with M9, suggesting that specific nutrients in LB may prevent the development of VBNC state. These results revealed that the five factors evaluated in this study had different roles during the progress of VBNC induction. Changing a single factor could influence and even block the development of the VBNC state. These findings provide new insight to help design further studies to better understand the mechanisms which trigger the development and regulation of the VBNC state.
Cultural political economy and the international governance of education: a theoretical framework

This chapter presents and discusses the value of cultural political economy (CPE) as a theoretical framework for the analysis of the international governance of education. CPE is situated historically as a contemporary example of attempts within the Marxist tradition to explore the relations between the cultural (the world of discourse and practice), the political (actors and institutions), and the economic. The chapter builds on the developed account of CPE to address the challenges presented by the European Union (EU) as an example of international governance. Established accounts of the development of an EU role in the governance of education since the launch of the Lisbon Strategy in March 2000 are examined so as to establish what a CPE approach can offer to attempts to complement and transcend them. In conclusion, the chapter acknowledges the aspects of CPE that remain undeveloped and problematic as well as underlining the terms upon which the CPE as presented here might need to engage with other theoretical approaches.
Defining and Identifying the Effect of Treatment on the Treated

The effect of treatment on the treated (ETT) is a causal effect commonly used in the econometric litetature. The ETT is typically of interest when evaluating the effect of schemes that require voluntary participation from eligible members of the population—those who participate are regarded as the treated. We show by means of examples, that it can be used as an alternative measure of effectiveness in Epidemiologic contexts where randomisation is not possible or flawed. The ETT has so far been expressed in terms of potential responses in the literature. We propose a new appraoch to formulate and derive the ETT based on the decision theoretic framework for causal inference [1]. The potential responses formulation turns out to be a special case of the decision theoretic formulation. Finally, we derive the conditions under which the ETT can be identified and employ an instrumental variable approach to do so.
Polysialic acid is required for optimal growth of axons on a neuronal substrate

Formation of axonal pathways involves a variety of molecules that influence cell-cell interactions. The polysialic acid (PSA) moiety of the neural cell adhesion molecule (NCAM) is present on neuronal surfaces during process outgrowth. Our studies reveal that the removal of PSA causes a decrease in the rate of elongation of retinal cell processes on a substrate of neuronal membranes derived from chick tectum. This effect was partially reversed by antibodies against the L1 adhesion molecule, but not by antibodies against NCAM, N-cadherin, or beta 1-integrins. This predominant effect of PSA on L1 was also observed in short-term, cell-cell adhesion assays, suggesting that PSA promotes optimal outgrowth on neuronal substrates by limiting the consequences of L1-mediated adhesion.
Real-Time Optimized Trajectory Planning for a Fixed-Wing Vehicle Flying in a Dynamic Environment

The problem of determining an optimal feasible trajectory, for a fixed wing flying vehicle moving in a dynamical three-dimensional space, is addressed in this paper, and an analytical solution is proposed. With explicitly considering the boundary conditions and kinematic constraints as well as by satisfying the collision avoidance criterions, trajectories are described in terms of three parameterized polynomials, and the family of feasible trajectories are found. Then, the desired near shortest trajectory is chosen from the feasible trajectories by optimizing a performance index with respect to L2 norm. This trajectory and its associated steering controls are achieved analytically. Computer simulations validate that this approach is computationally efficient and real-time implementable.
Towards a Difference Detection Algorithm Aware of Refactoring-Related Changes

During the software life cycle, artifacts change in response to both corrective and evolutive demands. These changes usually entail source-code refactorings. However, conventional diff algorithms do not precisely capture such type of changes due to missing or inefficient detection of moving blocks of code within and amongst files. This paper introduces an approach designed to support understanding how two software versions differ, even if refactoring-related changes were performed. It analyzes different granularities in order to precisely detect block moves without requiring expressive computational power. The experimental results show that our approach provides results with higher precision for both line and word granularities, if compared to conventional approaches.
Zatara, the Plug-in-able Eventually Consistent Distributed Database

With the proliferation of the computer Cloud, new software delivery methods were created. In order to build software to fit into one of these models, a scalable, easy to deploy storage tier is required. Distributed, non-SQL databases use multiple techniques to distribute information, guarantee data consistency and grow, but unfortunately most developments were designed with a single class of applications in mind, which means that they bring many constraints for developers. Existent solutions range from simple key-value databases to more complex approaches usually developed for data indexing. Our approach is a multi-purpose, distributed database engine that features an abstract query interface and plug-in-able internal data structures. The database, called ZATARA, is tested on an Amazon EC2 infrastructure with 196 nodes. In this environment it is able to deliver more than 20 million transactions per second, scaling almost linearly with the number of nodes. From the performance point of view, these results demonstrate our initial assumptions that it is not necessary to expose a particular data structure in order for the database to scale. Although Zatara cannot replace SQL databases in all deployments, it provides sufficient flexibility to make it a viable choice for most applications that have to scale indefinitely. Also, it can be used as a caching system in order to reduce load on the SQL tier, in these scenario being trivial to add it to an existing application.
Information Delivery with Quality of Service

We outline information-driven applications, particularly new applications that provide fresh information such as update monitoring and videoconferencing. Delivery of fresh information requires systems software support for quality of service. We summarize the Infosphere project, where the Infopipe abstraction is being developed and software implemented to support information flow with quality of service.
Sliding Mode Controller for Dc Motor Speed Control

This paper deals with the sliding mode control adjustment of a speed control for DC motor. Firstly, the paper introduces the principle of sliding mode control method. Then, design controller for DC motor after that the comparison between PID and Fuzzy is made on the real model of the DC motor . The main result of the paper is the analysis the terminal sliding mode control. After obtaining the entire model of speed control system, the model is utilized with MATLAB (SIMULINK). Key-Words: DC motor; sliding mode control; speed control; MATLAB (SIMULINK).