Miracle-dz/UniFAR-FTUs huggingface dataset:
A VARIABLE BIT-RATE ON-DEMAND ROUTING PROTOCOL FOR MOBILE AD HOC NETWORKS

Mobile ad hoc networks are facing new challenges including routing, quality of service and reliability. Quality of service can be achieved through the use of bit rate transmission. A modified variable bit rate on demand routing protocol for mobile adhoc network is presented in this paper. We designed, implemented and studied the performance of a Variable Bit-rate On demand Routing (VBOR) protocol which is based on the Adhoc On-demand Distance Vector (AODV) protocol. Here, the mode of transmission used for simulation purpose is variable bit rate. We calculate the residual power information of the node to select the best and stable route in between source and destination. Various QoS parameters such as average energy consumption, control overhead, data transmission delay, packet delivery ratio and throughput are studied and analyzed. The results are compared with the existing AODV protocol and the results are encouraging.
The Impact of Foreign Direct Investment and Trade on Economic growth-Taking China, Korea, Malaysia, Philippines & Thailand for Example

In this study the authors make efforts to survey the impact of foreign direct investment and trade on the economic growth of five East Asian countries, China, Korea, Malaysia, Philippines and Thailand. Using an augmented production function (APF) growth model, the authors apply panel data Method and data span is from 1980 to 2006. The required data are extracted from World Development Indicator 2008. The result shows that a co-integration relationship between growth and its determinants in the APF model is supported. Firstly, the study shows that with the increasing the inflow of foreign direct investment, positive impact on growth in Thailand, Korea and China is proved. However, this impact is negative in Philippine and Malaysia. Also the impact of trade on economic growth has the same result with FDI impact in sign. Further, the impact of labor force on growth is not significant in these countries and the effect of gross fixed capital on growth is positive and has a very high impact on selected countries.
Layered, multi-threaded, high-level performance design

A primary goal of high-level modeling is to efficiently explore a broad design space, converging on an optimal or near-optimal system architecture before moving to a more detailed design. This paper evaluates a high-level, layered software-on-hardware performance modeling environment called MESH that captures coarse-grained, interacting system elements. The validity of the high-level model is established by comparing the outcome of the high-level model with a corresponding low-level, cycle-accurate instruction set simulator. We model a network processor and show that both high and low level models converge on the same architecture when design modifications are classified as good or bad performance impacts.
Generalized Whittle–Matérn random field as a model of correlated fluctuations

This paper considers a generalization of the Gaussian random field with covariance function of the Whittle–Matérn family. Such a random field can be obtained as the solution to the fractional stochastic differential equation with two fractional orders. Asymptotic properties of the covariance functions belonging to this generalized Whittle–Matérn family are studied, which are used to deduce the sample path properties of the random field. The Whittle–Matérn field has been widely used in modeling geostatistical data such as sea beam data, wind speed, field temperature and soil data. In this paper we show that the generalized Whittle–Matérn field provides a more flexible model for wind speed data.
Control of peptide nanotube diameter by chemical modifications of an aromatic residue involved in a single close contact

Supramolecular self-assembly is an attractive pathway for bottom-up synthesis of novel nanomaterials. In particular, this approach allows the spontaneous formation of structures of well-defined shapes and monodisperse characteristic sizes. Because nanotechnology mainly relies on size-dependent physical phenomena, the control of monodispersity is required, but the possibility of tuning the size is also essential. For self-assembling systems, shape, size, and monodispersity are mainly settled by the chemical structure of the building block. Attempts to change the size notably by chemical modification usually end up with the loss of self-assembly. Here, we generated a library of 17 peptides forming nanotubes of monodisperse diameter ranging from 10 to 36 nm. A structural model taking into account close contacts explains how a modification of a few Å of a single aromatic residue induces a fourfold increase in nanotube diameter. The application of such a strategy is demonstrated by the formation of silica nanotubes of various diameters.
Benchmarking Technical Quality of Software Products

To enable systematic comparison of technical quality of (groups of) software products, we have collected measurement data of a wide range of systems into a benchmark repository. The measurements were taken over the course of several years of delivering software assessment services to corporations and public institutes. The granularity of the collected data follows the layered structure of a model for software product quality, based on the ISO/IEC 9126 international standard, which we developed previously. In this paper, we describe the design of our benchmark repository, and we explain how it can be used to perform comparisons of systems. To provide a concrete illustration of the concept without revealing confidential data, we use a selection of open source systems as example.
Can Recessions be 'Productive'? Schumpeter and the Moderns

Joseph A. Schumpeter never ceased to inspire new generations of economists. One of his major contributions concerns his view of business cycles and economic development as closely interrelated dynamics. Among the different lines of research proposed by Schumpeter in order to allow economists to capture how growth and cycle dynamics intertwine, one can find the analysis of the investment decisions during recessions. Schumpeter considered this process of Creative Destruction as “the essential fact about capitalism” since the Industrial Revolution. According to him, the process of liquidation and reallocation of productive resources taking place in the recession and particularly in the depression phase is not only an essential and unavoidable characteristics of capitalist evolution, but also necessary and, finally, beneficial for long-run development. More recently, one can notice in the literature a revival of interest for these questions. This line of research has been developed again in the 1990s by Aghion and Saint-Paul (1991, 1993, 1998) and Saint-Paul (1994) but also Caballero and Hammour (1994, 1996). They elaborated the so-called “productive recessions” analysis respectively the ‘cleansing effect’ of recessions. Focusing exclusively on neo-Schumpeterian contributions which explicitly analyze the impact recessions can have on growth, our purpose is to examine the mechanisms involved in the modern literature mentioned above and to compare them with Schumpeter’s original writings. The objective of this paper is to question the ‘Schumpeterian character’ of this recent literature and then to investigate the degree of continuity as well as the differences. Some focus will be on potential differences with regard to economic policy.
Automatic extrinsic camera parameters estimation for a mobile ToF camera application

Extrinsic camera parameters estimation is an important task for many assistance systems. The reconstruction of the image to world projection depends strongly on robust estimated camera parameters. Based on the used camera system, the extrinsic parameters estimation can be a complicated task, that maybe requires a lot of computing capacity. In this paper, an extrinsic camera parameters estimation procedure for a time of flight sensor, equipped on a rollator for impaired people, is presented. Effectiveness and robustness of the procedure are in the focus of the developed calibration procedure. The precision of image to world projection based on the estimated parameters is evaluated. The influence of the sensor noise regarding the measured diagonal values, e.g. depth values in the vicinity of the principal point of the camera sensor, to the ground plane is evaluated, too. Many different viewing angles as well as different height configurations of the system setup are used to evaluate the accuracy of the estimation procedure.
User Bias Removal in Fine Grained Sentiment Analysis

Fine-grained sentiment analysis of text reviews has recently gained a lot of attention in the natural language processing community. Most work done earlier focuses on creating efficient feature representations of text reviews for classification. The methods generally ignore other common attributes like user identity, product identity, and helpfulness rating during fine-grained sentiment classification. A major problem in current classification models is noise due to the presence of user bias in review ratings. We propose two simple statistical methods to remove such noise and improve fine-grained sentiment classification. We apply our methods on the SNAP published Amazon Fine Food Reviews dataset and on two major categories Electronics and Movies and TV of the e-Commerce Reviews data-set. After removing user bias, we get improved fine-grained sentiment classification with three commonly used feature representations.
Ab initio simulation of pressure-induced low-energy excitations in amorphous silicon

We study the pressure dependence of vibrational spectrum of amorphous silicon using an ab initio constant pressure relaxation simulation. With the application of pressure the low-energy modes soften and their acousticlikecharacter decreases. On the other hand, high-frequency modes shift toward the higher energies, and the localized spectral tail modes become extended under pressure.
Imagining higher education in the European knowledge economy:Discourse and ideas in communications of the EU

The paper focuses on the role of EU institutions in European higher education. Following the outset of the EU Lisbon Strategy (2000), the EU Commission positioned itself as an influential venue for generating, coordinating and communicating discourse on higher education (within the Bologna Process and beyond). Gradually, the scattered ideas converged into a relatively detailed set of policy proposals on the systemic and institutional reforms needed to engage higher education in the regional economic project. The ideas evolved within the imagined knowledge economy. The dominance of this political rationale has resulted in the steady advance of the Europeanisation of higher education, including the incremental tendency to transfer national competencies to supranational arenas - so far limited to soft instruments such as recommendations, guidelines, reporting and common actions.
An Empirical Evaluation of Maintaining Evolving Component-based Software with the UML

Unlike traditional systems, many components of component-based software are maintained by third-party providers and the maintenance is invisible to component users. Even though the modified components may still keep the same interfaces, internal changes may adversely affect systems that use the components. Regression testing of the existing systems that integrate with modified components must be done carefully despite the fact that the component users do not have access to the source. In a previous paper, we presented a method to model changes to components and then derive regression tests based on those changes [5]. This fast abstract presents results from an empirical evaluation of that regression testing technique. The changes are modeled by using the Unified Modeling Language (UML). We first establish a UMLbased infrastructure to model different types of changes. Then regression-testing strategies are developed to try to validate these changes. This experimental evaluation applies the change modeling technique to a small system. The changes were modeled by UML collaboration diagrams and state charts, tests were generated based on several criteria, faults were inserted into (a changed version of) the implementation, and the tests were evaluated by their ability to detect the faults.
Using concatenated algebraic geometry codes in channel polarization

Polar codes were introduced by Arikan in 2008 and are the first family of error-correcting codes achieving the symmetric capacity of an arbitrary binary-input discrete memoryless channel under low complexity encoding and using an efficient successive cancellation decoding strategy. Recently, non-binary polar codes have been studied, in which one can use different algebraic geometry codes to achieve better error decoding probability. In this paper, we study the performance of binary polar codes that are obtained from non-binary algebraic geometry codes using concatenation. For binary polar codes (i.e. binary kernels) of a given length $n$, we compare numerically the use of short algebraic geometry codes over large fields versus long algebraic geometry codes over small fields. We find that for each $n$ there is an optimal choice. For binary kernels of size up to $n \leq 1,800$ a concatenated Reed-Solomon code outperforms other choices. For larger kernel sizes concatenated Hermitian codes or Suzuki codes will do better.
Intonational encoding of pragmatic meaning in Puerto Rican Spanish interrogatives

Puerto Rican Spanish, a variety that prefers a final rise-fall rather than a fall-rise for yes-no questions has been claimed to have a default contour for information-seeking questions and a special configuration used only for biased negative questions. This study investigates the pragmatic division of labor for the nuclear configurations used for information-seeking questions, confirmation-seeking questions, biased negative questions and incredulity questions. Four contours are presented here: H* L%, (H+)L* HL%, H+L* L% and L+¡H* L%. None of these were favored significantly for the biased negation condition, disfavoring the idea that there is a special contour used for biased negative questions. H+L* L% was the most common contour (52%) for the information-seeking question condition, and was found to be the least preferred for biased contexts. However, H* L% was also commonly found for informationseeking questions (41%). A native speaker judged H* L% and L+¡H* L% as indicating interest and/or surprise while this did not seem to be the case for H+L* L%, indicating a possible relationship between tune choice and level of speaker affectedness in Puerto Rican Spanish. The rather consistent use of (H+)L* HL% for a specific type of surprise, incredulity, also supports this idea.
Mobile Cartography Base on Cache of CGML

As the development of wireless network and 3rd generation communication, location based service will have broad application prospects. At the same time, since the screen of mobile terminal is small and resolution is slow, the methods of desktop cartographic visualization can not be directly copied to mobile. Therefore, a mobile cartographic visualization strategy based on cache of CGML is proposed. In the strategy, firstly, the basic and extended query frames are generated in the center of terminal’s position. And then, the cartographic data received in the basic query frame is visualized, and the extended query frame data is built into CGML file that is cached in the terminal. Finally, the cached CGML file is used to follow-up operations of cartography.
Probabilistic Soft Error Detection Based on Anomaly Speculation

Microprocessors are becoming increasingly vulnerable to soft errors due to the current trends of semiconductor technology scaling. Traditional redundant multi-threading architectures provide perfect fault tolerance by re-executing all the computations. However, such a full re-execution technique significantly increases the verification workload on the processor resources, resulting in severe performance degradation. This paper presents a pro-active verification management approach to mitigate the verification workload to increase its performance with a minimal effect on overall reliability. An anomaly-speculation-based filter checker is proposed to guide a verification priority before the re-execution process starts. This technique is accomplished by exploiting a value similarity property, which is defined by a frequent occurrence of partially identical values. Based on the biased distribution of similarity distance measure, this paper investigates further application to exploit similar values for soft error tolerance with anomaly speculation. Extensive measurements prove that the majority of instructions produce values, which are different from the previous result value, only in a few bits. Experimental results show that the proposed scheme accelerates the processor to be 180% faster than traditional fully-fault-tolerant processor with a minimal impact on overall soft error rate.
Integration through participation: The effects of participating in an English Conversation club on refugee and asylum seeker integration

Abstract The integration of refugees/asylum seekers is a complex process that is affected by factors such as reasons for fleeing one’s home country, linguistic proficiency, education, housing issues, and reception from the host community. While past research has focused on these issues, there is a lack of attention on the development of practical and psychological integration skills through participation in a social space of mutual accommodation (Berry 2005). This article fills this gap by analysing the relationship between mutual accommodation and integration in relation to spaces for language acquisition and the resulting impact of participation. This study illustrates, from the migrant perspective, how language acquisition in terms of resettlement not only focuses on linguistic proficiency but also on how such spaces provide a supportive place of refuge and support. This research underscores a deeper discussion of the migrant new speaker profile, providing evidence for ways in which to broaden an understanding of this key shift away from previously held notions of the native versus non-native individual. Ethnographic research was conducted in two UK-based conversation clubs. Data analysis followed Braun and Clarke’s (2006) Thematic Analysis structure.
Suppression of Serotonin Neuron Firing Increases Aggression in Mice

Numerous studies link decreased serotonin metabolites with increased impulsive and aggressive traits. However, although pharmacological depletion of serotonin is associated with increased aggression, interventions aimed at directly decreasing serotonin neuron activity have supported the opposite association. Furthermore, it is not clear if altered serotonin activity during development may contribute to some of the observed associations. Here, we used two pharmacogenetic approaches in transgenic mice to selectively and reversibly reduce the firing of serotonin neurons in behaving animals. Conditional overexpression of the serotonin 1A receptor (Htr1a) in serotonin neurons showed that a chronic reduction in serotonin neuron firing was associated with heightened aggression. Overexpression of Htr1a in adulthood, but not during development, was sufficient to increase aggression. Rapid suppression of serotonin neuron firing by agonist treatment of mice expressing Htr1a exclusively in serotonin neurons also led to increased aggression. These data confirm a role of serotonin activity in setting thresholds for aggressive behavior and support a direct association between low levels of serotonin homeostasis and increased aggression.
SICO: A System for Detection of Near-Duplicate Images During Search

Duplicate and near-duplicate digital image matching is beneficial for image search in terms of collection management, digital content protection, and search efficiency. In this paper, we introduce SICO, a novel system for near-duplicate image detection during web search. It accurately detects near-duplicates in the answers returned by commercial image search engines in real-time. We show that SICO - which utilizes PCA-SIFT local descriptors and adapts near-duplicate text document detection techniques - is both effective and efficient. On a standard desktop personal computer, SICO identifies clusters of near-duplicate images with 93% accuracy in under 30 seconds, for an average of 622 returned images for each query.
Table-based method for reconfigurable function evaluation

This paper presents a new approach to function evaluation using tables. The proposal argues for the use of a more complete primitive, namely a weighted sum, which converts the calculation of the function values into a recursive operation defined by a two input table. This weighted sum can be tuned for different values of the weighting parameters holding the features of the specific function to be evaluated. A parametric architecture for reconfigurable FPGA-based hardware implements the design. Our method has been tested in the calculation of the function sine. The comparison with other well-known proposals reveals the advantages of our approach, because it provides memory and hardware resource saving as well as a good trade-off between speed and error.
Passalora stromatica sp. nov. associated with leaf spots of Tithonia diversifolia in Brazil

Tithonia diversifolia, a member of Compositae native to Central America that produces showy sunflower-like flowers, became an invasive weed in other continents after it was introduced as an ornamental. Little is known about fungal pathogens infecting this plant. Knowledge of its mycobiota is of interest for future biocontrol programmes for T. diversifolia. In Brazil, a cercosporoid hyphomycete was found associated with intense leaf-spotting of this plant. Based on morphological and molecular data it was recognized as representing a new species of Passalora, and the name Passalora stromatica sp.nov. is introduced here for this taxon. This fungus is described and illustrated herein. It is possible that this fungus is playing a role in Brazil in reducing the invasiveness of T. diversifolia as, contrarily to what has been reported for countries in Africa and Asia, it remains mostly as a garden escape or rural plant in Brazil.
Consonants and vowels in orthographic representations

It has been argued that orthographic representations—the abstract mental representations of the spellings of words—include orthography-specific information regarding the consonant/vowel (CV) identity of the individual letters that make up a word's spelling. This hypothesis has been used to explain the finding that the substitution errors in the spelling of certain dysgraphic individuals exhibit a striking tendency to preserve the CV identity of the target letters. In this paper, we evaluate the adequacy of two alternative hypotheses that do not posit orthography-specific CV representations. One hypothesis proposes that constraints on the nature of letter substitution come from the phonological representation of a word, and a second hypothesis contends that CV-preserving substitutions are driven by orthotactic knowledge—knowledge of the well-formed letter sequences in the orthography of a language. We present novel tests of these hypotheses using data from four case studies of dysgraphic individuals. The results clearly adjudicate in favour of the claim that orthographic representations contain orthography-specific CV information. In this way, the results support the more general claim that abstract categories are represented within the language system.