Miracle-dz/UniFAR-FTUs huggingface dataset:
Trade-off between the number of index-terms and the information retrieval system’s performance

Performance of modern day information retrieval (IR) systems depends on the index terms and their occurrence frequency. Hence, a small variation in the frequency of index terms alters the performance of IR systems. This article analyzes the variation in performance of IR systems due to changes in the frequency of index terms. Based on the occurrence frequency, we classified the index terms as `Low’ and `High’ frequency terms; their performances were also recorded. Low-frequency terms tend to decrease the performance of IR systems. In contrast, the performance of highfrequency terms is better than its counterpart. High-frequency terms do 10% performance improvement in comparison with the low-frequency terms. By deleting the low-frequency index terms, we can save up to 65% of index terms with a maximum of 26% degradation in performance of IR systems.
Iterative Analysis of Pore-Dynamic Models Discretized by Meshless Local Petrov-Galerkin Formulations

This work proposes an iterative procedure to analyse pore-dynamic models discretized by time-domain Meshless Local Petrov-Galerkin formulations. By considering an iterative procedure based on a successive renew of variables, each phase of the coupled problem in focus can be treated separately, uncoupling the governing equations of the model. Thus, smaller and better conditioned systems of equations are obtained, rendering a more attractive methodology. A relaxation parameter is introduced here in order to improve the efficiency of the iterative procedure and an expression to compute optimal values for the relaxation parameter is discussed. Linear and nonlinear models are focused, highlighting that the analysis of the nonlinear relations can be carried out along the iterative steps of the coupled model solution, adding no further computational costs to the analysis. At the end of the paper, numerical examples illustrate the performance and potentialities of the proposed techniques.
Subband Adaptive Filtering with -Norm Constraint for Sparse System Identification

This paper presents a new approach of the normalized subband adaptive filter (NSAF) which directly exploits the sparsity condition of an underlying system for sparse system identification. The proposed NSAF integrates a weighted -norm constraint into the cost function of the NSAF algorithm. To get the optimum solution of the weighted -norm regularized cost function, a subgradient calculus is employed, resulting in a stochastic gradient based update recursion of the weighted -norm regularized NSAF. The choice of distinct weighted -norm regularization leads to two versions of the -norm regularized NSAF. Numerical results clearly indicate the superior convergence of the -norm regularized NSAFs over the classical NSAF especially when identifying a sparse system.
The Market Quality to Technical Analysis Performance: Intercountry Analysis

The main objective of this research is to discuss the impact of market quality on technical analysis profitability using inter-country analysis. Market quality is proxied by market capitalization. Technical analysis performance (profitability) is calculated using technical analysis return for MA5 indicator and short transaction strategy. This study uses the OSIRIS and Yahoo Finance databases. Using 21 countries with 50 companies for each country, this study finds that market quality affects technical analysis performance. Robustness tests are conducted for longer moving average indicators that are MA10 and MA15. To make sure that the results are not sensitive toward the strategy used, other robustness tests are conducted by using short and long-short transaction strategies. All robustness tests confirm the findings.
Spiritual Values and Spiritual Practices: Interactive Effects on Leadership Effectiveness

The relationship between spirituality and leadership effectiveness has been discussed over decades. These relations have been separated in two big perspective—first, an esoteric realm of intangible ideas and emotions; and second, a practical area and scientific inquiry. This research tries to integrate these two different perspectives. Specifically, this research examines the effects of spiritual values and spiritual practices on leadership effectiveness. The findings indicate that spiritual values and spiritual practices have positive effects on leadership effectiveness. This research also shows that spiritual values and spiritual practices have interactive effects on leadership effectiveness. This result implies that organizations should enhance the spiritual values and practices. Discussion, practical, and theoretical implications for further researches are offered. DOI: 10.15408/etk.v17i1. 6497
Creative Process within Globally Distributed Teams: Brazil, Sweden, France and India

The current complexity of economic, social, technological and business environments in which modern organizations are inserted have determined new forms of working relationships and configurations. This has in turn triggered numerous studies and comparative analyses about the processes enveloped by these new working patterns. The aim of this study is to explore and analyse how the creative process unfolds in globally distributed teams. Using a qualitative approach, we presented a case study conducted within Volvo 3P projects and more specifically the New Product Development team based in Brazil, which works alongside teams distributed in Sweden, France and India. Our empirical evidence shows that whilst individuals are the core element of the creative process in collocated teams; in globally distributed teams the fundamental foundation of the creative process is the organization.
Completion time minimization for distributed feature extraction in a visual sensor network testbed.

[ANGLES] Real-time detection and extraction of visual features in wireless sensor networks is a challenging task due to its computational complexity and the limited processing power of the nodes. A promising approach is to distribute the workload to other nodes of the network by delegating the processing of different regions of the image to different nodes. In this work a solution to optimally schedule the loads assigned to each node is implemented on a real visual sensor network testbed. To minimize the time required to process an image, the size of the subareas assigned to the cooperators are calculated by solving a linear programming problem taking into account the transmission and processing speed of the nodes and the spatial distribution of the visual features. In order to minimize the global workload, an optimal detection threshold is predicted such that only the most significant features are extracted. The solution is implemented on a visual sensor network testbed consisting of BeagleBone Black computers capable of communicating over IEEE 802.11. The capabilities of the testbed are also extended by adapting a reliable transmission protocol based on UDP capable of multicast transmission. The performance of the implemented algorithms is evaluated on the testbed.
The Contribution of other Eminent Scholars to Lijphart’s Power-Sharing Theory

Power-sharing theory, which is both prescriptive and empirical, is one of the seminal democratic theories in political science in general and comparative politics in particular. The prescriptive approach of the theory recommends consociationalism to any country with deeply divided society. In other words, it serves to solve the problem of achieving and maintaining democratic stability in plural societies. As well it recommends consensus democracy to any country that is going to establish a democratic political system or that is going to change its model of democracy. Arend Lijphart is best known for his career-long dedication to formulate and develop power-sharing theory. In order to gain an in-depth understanding of the theory it should be considered that while his name is prominently associated with the development of it, there are several eminent scholars who simultaneously worked on power-sharing democracy and the development of the theory. While these scholars merely focused either on sociopolitical or political aspect of the theory, Lijphart concentrates on both aspects so that the theory is the product of this prima facie paradoxical overlapping. From this point of view, the intellectual contribution of these scholars is particularly considered in this article.
Dual Roles of IL-15 in Cancer Biology

IL-15 is an immune-enhancing cytokine belonging to the IL-2 family, which supports survival, proliferation and functional activities of NK, NK-T, T and B cells. Moreover, IL-15 may support the growth and survival of different lymphoid malignancies, suggesting that targeting of the IL-15/IL-15R system or its downstream signaling cascade may result in therapeutic effects, in these tumors. On the other hand, given its immune-enhancing activities IL-15 has been considered a good candidate for cancer immunotherapy. Indeed, IL-15 or IL-15 super agonists have shown anti-tumor activity in several animal tumor models either alone or combined with other immune-enhancing molecules. Therefore, clinical trials of IL-15 or IL-15 super-agonists are ongoing in different cancers. Here we will summarize the biological features of the IL-15/IL-15R system and discuss its duality in tumor biology and the potential applications of IL-15 agonists and antagonists in cancer.
SPECIES ASSEMBLAGES AND INDICATOR SPECIES:THE NEED FOR A FLEXIBLE ASYMMETRICAL APPROACH

This paper presents a new and simple method to find indicator species and species assemblages characterizing groups of sites. The novelty of our approach lies in the way we combine a species relative abundance with its relative frequency of occurrence in the various groups of sites. This index is maximum when all individuals of a species are found in a single group of sites and when the species occurs in all sites of that group; it is a symmetric indicator. The statistical significance of the species indicator values is evaluated using a randomization procedure. Contrary to TWINSPAN, our indicator index for a given species is independent of the other species relative abundances, and there is no need to use pseudospecies. The new method identifies indicator species for typologies of species releves obtained by any hierarchical or nonhierarchical classification procedure; its use is independent of the classification method. Because indicator species give ecological meaning to groups of sites, this method provides criteria to compare typologies, to identify where to stop dividing clusters into subsets, and to point out the main levels in a hierarchical classification of sites. Species can be grouped on the basis of their indicator values for each clustering level, the heterogeneous nature of species assemblages observed in any one site being well preserved. Such assemblages are usually a mixture of eurytopic (higher level) and stenotopic species (characteristic of lower level clusters). The species assemblage approach demonstrates the importance of the ''sampled patch size,'' i.e., the diversity of sampled ecological combinations, when we compare the frequencies of core and satellite species. A new way to present species-site tables, accounting for the hierarchical relationships among species, is proposed. A large data set of carabid beetle distributions in open habitats of Belgium is used as a case study to illustrate the new method.
Fast iterative circuits and RAM-based mergers to accelerate data sort in software/hardware systems

The paper suggests and describes two architectures for parallel data sort. The ﬁrst architecture is applicable to large data sets and it combines three stages of data processing: data sorting in hardware (in a Field-Programmable Gate Arrays – FPGA), merging preliminary sorted blocks in hardware (in the FPGA), and merging large subsets received from the FPGA in general-purpose software. Data exchange between the FPGA and a general-purpose computer is organized through a fast Peripheral Component Interconnect (PCI) express bus. The second architecture is applicable to small data sets and it enables sorting to be done at the time of data acquisition, i.e. as soon as the last data item is received, the sorted items can be transferred immediately. The results of experiments clearly demonstrate the advantages of the proposed architectures that permit the reduction of the required hardware resources and increasing throughput compared to the results reported in publications and software functions targeted to data sorting.
Determining Information Technology Project Status using Recognition-primed Decision-making-enabled Collaborative Agents for Simulating Teamwork (R-CAST)

In the project management environment, it is critical to know how the project is performing from the viewpoint of scope, schedule, cost, and other constraints. One source reports that 70% of IT-related projects do not meet their objective (Lewis, 2008). This paper examines the use of the R-CAST architecture to develop a collaborative agent system that aids in recommending the status of a project using color indicators (red, yellow, green) that are based on the progress and standing of the project-related constraints.
Effects of post-anthesis heat stress and nitrogen levels on grain yield in wheat ( T . durum and T . aestivum ) genotypes

In order to study the effects of post-anthesis heat stress and nitrogen levels on grain yield and yield components of wheat genotypes, two separate field experiments were conducted in delayed and optimum sowing dates under Ahvaz conditions (2006-2007). The Ahvaz site located in south west of Iran (3220 N, 4020 E) with subtropical climate condition. The experiment site had a moderate winter and dry and hot summer. Plants in delayed sowing date experienced heat stress at post-an thesis growth stage. Each split-polt experiment had a randomized complete block design with three replications. The application rates of N at three levels (50, 100, and 150 KgNha) were assigned in main-plots. Sub-plots were consisted of six bread and durum wheat genotypes. The results indicated that the grain yield reduction in 50 and 100 KgNha compared with 150 KgNha treatments was 41% and 21% under optimum and 44% and 26% under heat stress conditions, respectively. In all genotypes, grain yield and 1000-grain weight (TGW) reduction under post-anthesis heat stress conditions was 33% and 42%, respectively. The highest and the lowest grain yield reduction due to heat stress were observed in Star (39%) and Vee/Nac (27%) genotypes. The Grain yield reduction in nitrogen deficiency treatments and post-anthesis heat stress was due to significant reduction in number of grains. m and TGW, respectively. In nitrogen deficiency treatments grain number per area was reduced due to reduction in number of fertile florets. Spikelets, spikes. m, and spikelets. spike. Further research are recommended for full understanding the effects of heat stress and low N level on yield and yield components of recommended wheat genotypes under agroclimatic conditions such as south west of Iran.
Measuring in situ krill tilt orientation by stereo photogrammetry: examples for Euphausia superba and Meganyctiphanes norvegica

The natural body orientation adopted by krill is a crucial parameter for understanding and estimating the acoustic backscattering from these animals. Published data are scarce and are usually acquired with single-camera systems that provide suboptimal control over the measurement accuracy. Here we describe a stereo-photo camera application for accurate krill measurements in situ, based upon several Euphausia superba and Meganyctiphanes norvegica datasets. Body-tilt orientation, body length and school volume density from scattered and schooling krill are presented. Some challenges to the practical implementation of the method are discussed, including practical limits on krill body yaw angles for obtaining useful measurement accuracy and how to account accurately for the true vertical. Calibration and measurement accuracy is discussed together with a practical definition of krill body orientation. Krill sizes determined from stereo-images are compared with those measured from trawl samples. The krill body-tilt measurements yielded mean estimates of positive (head-up) or negative tilt of 9-17° with rather large spread for scattered aggregations of M. norvegica (SD=30-37°) and about half of that for polarized schools of E. superba (SD=14-17°). The measured krill body orientation distributions were also used to calculate krill acoustic target strength as predicted by the stochastic distorted wave Born approximation (SDWBA) model.
Vector Data Acquisition Methods Based on the Spatial Data Sensitive Crawler

This paper discussed the expression of vector data under the Web environment, introduced a spatial data sensitive crawler (SDSC), and tested the novel technique to collect vector data in real cases. Furthermore, a defect reduction model has been improved so that the level of confidence of different vector data can be measured more accurately. The results of experiments show that the data collected by SDSC have a relatively higher credibility. Keywords—Spatial Data Sensitive Crawler; Vector Data; Defect Reduction Model; Measure of Confidence Level
Estimating the Quantity Effects of Non- Tariff Measures on SADC Meat and Milk Trade

Global trade protection in the form of tariffs has been on the downward trend since the conclusion of the World Trade Organisation Uruguay Round of negotiations. The same pattern was observed in SADC as well as other regional integration groups. In SADC the declining trade protection was not accompanied by improvement in trade performance. If anything, the share of intra-SADC trade has actually declined during the phase down of tariffs in the eight year period. This study explores the possible reason for poor trade performance in the tariff reducing environment using meat and dairy markets as case studies over the period 2000 to 2010. It is hypothesised that non tariff measures (NTMs) are more trade restricting that tariffs. The statistics show that on average each agricultural product traded is affected by about ten NTM. These vary from country to country, with Mozambique having the highest incidence of NTMs, and the lowest being Malawi. On a product level, fruits are the most affected products with more about 40% of all NTMs applied. The gravity model was used to estimate intra-SADC trade and to evaluate the quantity impacts of NTMs on tariffs. The NTMs applied to meat products were found to be as high as 400% compared to roughly 200% for dairy. Furthermore, it was found that in the case of dairy tariffs and NTMs were used jointly as means of protection. This implies that there is a need to focus attention, both in research and policy on the NTMs.
TRANSETHOSOMES AND ETHOSOMES FOR ENHANCED TRANSDERMAL DELIVERY OF KETOROLAC TROMETHAMINE: A COMPARATIVE ASSESSMENT

The aim of this investigation was to formulate, evaluate and compare the transdermal potential of novel vesicular carriers: transethosomes and ethosomes. Transethosomes (TELs) and ethosomes (Els) were prepared by cold method and were characterized for particle size, entrapment efficiency, transmission electron microscopy (TEM), zeta potential, elasticity measurement, in-vitro drug release, ex-vivo permeation studies and in-vivo study. Transethosomal and ethosomal formulation showed particle size of 180 ± 70 nm and134 ± 65 nm. Transethosomes showed higher drug entrapment (80.08 ± 4.5%) than ethosomes (70.79 ± 5.6%). Both the formulation showed good zeta potential indicating good stability. The elasticity of transethosomal vesicles was found to be 3-fold higher than the ethosomal vesicles. The transdermal flux of transethosomal gel was 47.43± 0.2 µg/cm 2 /h and was found to give 3 fold increase in release as compared to ethosomal gel which gave 2 fold higher release of 40.38 ± 2. 50µg/cm 2 /h as compared to the hydroethanolic solution with a release of 17.333± 0. 15µg/cm 2 /h. Hence, the results suggested transethosomes to be a more efficient carrier system as compared to ethosomes for transdermal delivery of ketorolac tromethamine. Keywords: Ketorolac tromethamine, Transdermal delivery, Transethosomes, ethosomes, Permeation studies.
Novel Terthiophene-Substituted Fullerene Derivatives as Easily Accessible Acceptor Molecules for Bulk-Heterojunction Polymer Solar Cells

Five fulleropyrrolidines and methanofullerenes, bearing one or two terthiophene moieties, have been prepared in a convenient way and well characterized. These novel fullerene derivatives are characterized by good solubility and by better harvesting of the solar radiation with respect to traditional PCBM. In addition, they have a relatively high LUMO level and a low band gap that can be easily tuned by an adequate design of the link between the fullerene and the terthiophene. Preliminary results show that they are potential acceptors for the creation of efficient bulk-heterojunction solar cells based on donor polymers containing thiophene units.
Generalized Multiplicative Extended Kalman Filter for Aided Attitude and Heading Reference System

In this paper, we propose a “Generalized Multiplicative Extended Kalman Filter” (GMEKF) to estimate the position and velocity vectors and the orientation of a flying rigid body, using measurements from lowcost Earth-fixed position and velocity, inertial and magnetic sensors. Thanks to well-chosen state and output errors, the gains and covariance equations converge to constant values on a much bigger set of trajectories than equilibrium points as it is the case for the standard Multiplicative Extended Kalman Filter (MEKF). We recover thus the fundamental properties of the Kalman filter in the linear case, especially the convergence and optimality properties, for a large set of trajectories, and it should result in a better convergence of the estimation. We illustrate the good performance and the nice properties of the GMEKF on simulation and on experimental comparisons with a commercial system.
Fast voltage contingency screening using radial basis function neural network

Power system security is one of the vital concerns in competitive electricity markets due to the delineation of the system controller and the generation owner. This paper presents an approach based on radial basis function neural network (RBFN) to rank the contingencies expected to cause steady state bus voltage violations. Euclidean distance-based clustering technique has been employed to select the number of hidden (RBF) units and unit centers for the RBF neural network. A feature selection technique based on the class separability index and correlation coefficient has been employed to identify the inputs for the RBF network. The effectiveness of the proposed approach has been demonstrated on IEEE 30-bus system and a practical 75-bus Indian system for voltage contingency screening/ranking at different loading conditions.
Intrusion Detection Using a More General Feature Extraction Method for Payload-based Anomaly One-Class Classifier

In this paper, we proposed a method to extract more general features of data for payload-based anomaly IDS. However, because of the significant rise in the number of features, there are numerous redundancies, leading to the rise in the complexity and the decrease in the accuracy of the classification. To that end, we apply Chi square [9] feature selection method to pick up the best features in the feature set. We have done many experiments on real world dataset of HTTP-based attacks to evaluate the performance of our classifier using our feature extraction method. The results show that our classifier can quickly detect the attack packets with very high true positive rate while keeping the false positive rate at a very low level. Besides, the results also indicate that our classifier outperforms other classifiers such as McPAD [10], and PAY [12, 13].