Miracle-dz/UniFAR-FTUs huggingface dataset:
ocial-Based Algorithm ( SBA )

This paper proposes a new approach by combining the Evolutionary Algorithm (EA) and socio-political process based Imperialist Competitive Algorithm (ICA). This approach tries to capture several people involved in community development characteristic. People live in different type of communities: Monarchy, Republic, Autocracy and Multinational. Leadership styles are different in each community. Research work has been undertaken to deal with curse of dimensionality and to improve the convergence speed and accuracy of the basic ICA and EA algorithms. The proposed algorithm has been compared with some wellknown heuristic search algorithms. The obtained results confirm the high performance of the proposed mperialist Competitive Algorithm ocial-Based Algorithm algorithm in solving various benchmark functions specially in high dimensional problem. Simulation results were reported and the SBA indeed has established superiority over the basic algorithms with respect to set of functions considered and it can be employed to solve other global optimization problems, easily. The results show the efficiency and capabilities of the new hybrid algorithm in finding the optimum. Amazingly, its performance is about 85% better than other algorithms such as EA and ICA. The quite performance achieved is
UTILIZATION OF RADAR REMOTE SENSING AND TEXTURE ANALYSIS FOR URBAN CARTOGRAPHY IN CAMEROON : APPLICATION TO YAOUNDE CITY

In this project, we interest ourselves with the follow-up of the growth of large Cameroonian cities, whose extension is increasingly large. Considering the non availability of recent maps, the analysis of the synthetic aperture radar (SAR) images seems to be a very good tool allowing the evaluation of the expansion of the cities with a good accuracy. In this work, the analysis of texture is applied on a SAR ERS-1 image for determining the urban limits of the city of Yaounde in Cameroon. To obtain an accurate textural classification of a SAR image , it is often necessary to make several tests in order to find the best combination of parameters among a whole of textural parameters. This exercise inevitably leads to a prohibitory calculating times, despite the power of the modern computers. Indeed, if one desires to extract the best pair from parameters of texture among a whole of N parameters, one must examine 2 possibilities. Time calculating thus growths exponentially with the number of parameters available. To circumvent this difficulty, the techniques of sequential selection of textural parameters have been created, in order to obtain the set of parameters producing the best accuracy of classification, with a less cost of calculation. The two principal techniques utilized within the framework of this study are the technique of progressive sequential elimination and the technique of regressive sequential elimination. In the first case, the whole of parameters to be used is constituted by progressive addition of the parameters filling the criteria of selection. In the second case, all the parameters form part of the initial unit, and the parameters not filling the criteria of selection are successively eliminated until one obtains the desired number of parameters. The optimal progressive combination produced a minimum rate of correct classification of 88% while the optimal regressive combination produced a minimum rate of correct classification of 99%.
Bounds of Asymptotic Performance Limits of Social-Proximity Vehicular Networks

In this paper, we investigate the asymptotic performance limits (throughput capacity and average packet delay) of social-proximity vehicular networks. The considered network involves N vehicles moving and communicating on a scalable grid-like street layout following the social-proximity model: Each vehicle has a restricted mobility region around a specific social spot and transmits via a unicast flow to a destination vehicle that is associated with the same social spot. Moreover, the spatial distribution of the vehicle decays following a power-law distribution from the central social spot toward the border of the mobility region. With vehicles communicating using a variant of the two-hop relay scheme, the asymptotic bounds of throughput capacity and average packet delay are derived in terms of the number of social spots, the size of the mobility region, and the decay factor of the power-law distribution. By identifying these key impact factors of performance mathematically, we find three possible regimes for the performance limits. Our results can be applied to predict the network performance of real-world scenarios and provide insight on the design and deployment of future vehicular networks.
Lossy Color Image Compression Technique using Fractal Coding with Different Size of Range and Domain Blocks

This paper proposed the approach based on fractal coding which falls in the lossy compression category. Fractal coding is generally used for grey level images. Proposed method firstly separate the three planes of RGB color space images and then the fractal coding algorithm is applied on individual planes independently. Extensive experiments are carried out with different size of domain blocks and range blocks on well-known color space images from literature. Results are analyzed with respect to the time, image compression ratio and image reconstruction quality. Implementation results shows that the greater compression ration can be achieved with large domain blocks but more trade off in image quality. Results are compared and represented with the performance graph. The proposed method can be useful for the huge database applications where the image reconstruction quality does not matter much. Time complexity of the proposed method is in the order of n2 .
Design of a Feature-based Multi-viewpoint Design Automation System

Viewpoint-dependent feature-based modelling in computer-aided design is developed for the purposes of supporting engineering design representation and automation. The approach of this paper uses a combination of a multi-level modelling approach. This has two stages of mapping between models, and the multi-level model approach is implemented in three-level architecture. Top of this level is a feature-based description for each viewpoint, comprising a combination of form features an d other features such as loads and constraints for analysis. The middle level is an executable representation of the feature mode l. The bottom of this multi-level modelling is an evaluation of a feature-based CAD model obtained by executable feature representations defined in the middle level. The mappings involved in the system comprise firstly, mapping between the top level feature representations associated with different viewpoints, for example for the geometric simplification and addition o f boundary conditions associated with moving from a design model to an analysis model, and secondly mapping between the top level and the middle level representations in which the feature model is transformed into the executable representation. Because an executable representation is used as the intermediate layer, the low level evaluation can be active. The example wil l be implemented with an analysis model which is evaluated and for which results are output. This multi-level modelling approach will be investigated within the framework aimed for the design automation with a feature-based model.
Comprehensive Genomic Analysis Reveals Clinically Relevant Molecular Distinctions between Thymic Carcinomas and Thymomas

Purpose: Thymomas and thymic carcinomas are rare intrathoracic malignancies that can be invasive and refractory to conventional treatment. Because these tumors both originate from the thymus, they are often grouped together clinically. However, whether the underlying biology of these tumors warrants such clustering is unclear, and the optimum treatment of either entity is unknown. Experimental Design: All thymic tumors were profiled for mutations in genes encoding components of the EGFR and KIT signaling pathways, assessed for EGFR and KIT expression by immunohistochemistry, and analyzed by array-based comparative genomic hybridization. Previously untreated tumors were subjected to global gene expression arrays. Results: We analyzed 45 thymic tumors [thymoma, n = 38 (type A, n = 8; type B2, n = 22; type B3, n = 8); thymic carcinoma, n = 7]. One thymoma and one thymic carcinoma harbored KRAS mutations (G12A and G12V, respectively), and one thymoma had a G13V HRAS mutation. Three tumors displayed strong KIT staining. Two thymic carcinomas harbored somatic KIT mutations (V560del and H697Y). In cell viability assays, the V560del mutant was associated with similar sensitivities to imatinib and sunitinib, whereas the H697Y mutant displayed greater sensitivity to sunitinib. Genomic profiling revealed distinct differences between type A to B2 thymomas versus type B3 and thymic carcinomas. Moreover, array-based comparative genomic hybridization could readily distinguish squamous cell carcinomas of the thymus versus the lung, which can often present a diagnostic challenge. Conclusions: Comprehensive genomic analysis suggests that thymic carcinomas are molecularly distinct from thymomas. These data have clinical, pathologic, and therapeutic implications for the treatment of thymic malignancies. (Clin Cancer Res 2009;15(22):67909)
DESENVOLVIMENTO APÓS O DIVÓRCIO COMO ESTRATÉGIA DE CRESCIMENTO HUMANO DEVELOPMENT AFTER DIVORCE AS A STRATEGY OF HUMAN GROWTH

1 Departamento de Psicologia, Universidade do Minho. Correspondência para: Serviço de Consulta Psicológica e Desenvolvimento Humano, Departamento de Psicologia, Universidade do Minho, Campus de Gualtar, 4710-057 Braga, Portugal. Tel: +351 253 604 245, Fax: +351 253 604 229. E-mail: dlamela@ese.ipvc. pt Resumo: O divórcio é um dos momentos mais estressantes na vida dos adultos. Após a dissolução conjugal, os ex-parceiros têm de enfrentar inúmeras mudanças e desafios. A literatura psicológica tem dado prioridade ao estudo das consequências negativas do divórcio nas trajetórias desenvolvimentais de todos os membros da família, através da pesquisa exaustiva de problemas de ajustamento que provariam que o divórcio é por si só um factor de desestabilização e risco psicopatológico. No entanto, atualmente, surgem linhas de investigação que se distanciam desta visão, para se focalizarem nas possibilidades de desenvolvimento positivo que podem germinar com a decisão de divórcio. Desta forma, a adaptação ao divórcio não é vista como um processo cumulativo de perdas mas, pelo contrário, como um potencial processo qualitativo caracterizado por novos objetivos de vida, melhoria de competências e maior maturidade afetiva e íntima. O presente artigo propõe uma conceptualização da adaptação ao divórcio como podendo ser medida através do resultado qualitativo de uma sequência de mudanças desenvolvimentais integradas, em que os níveis mais avançados de desenvolvimento, e de um certo modo também mais diferenciados, devem integrar e ultrapassar os níveis anteriores e mais instrumentais da adaptação ao divórcio. São também apresentadas as dificuldades teóricas existentes na literatura em definir o conceito de desenvolvimento ótimo, bem como os procedimentos metodológicos usados para compreender estas trajetórias de crescimento humano.
Test Study on Relationship Between Clarity of Mandarin Monosyllable and STI-PA Caused by Reverberation

A laboratory test is carried out to study the relationship between the clarity of Mandarin monosyllable and STI-PA caused only by reverberation.The function relationship between STI-PA and clarity is derived from the test result.The test also reveals that the affection of reverberation on the Mandarin monosyllable is quite different from the one on the other language.
Improving Medical Ontology Based on Word Embedding

Medical ontology learning or improving is automatically learning the knowledge in ontology format from medical data, mainly text data. With the rise of the word vector space, improving ontology using word embedding has become a hot spot. Most of previous studies have focused on how to acquire different ontological elements using all kinds of learning technologies. Few studies focus on the prior knowledge in a given ontology. In essence, ontology learning or improving is still a learning process based on existing samples. So, the type and number of knowledge acquired is limited by existing samples in a given ontology. This paper firstly formalizes several kinds of prior knowledge for classes in a given ontology. Then we propose a method, named improving medical ontology based on word embeddings (IMO-WE), to enrich different types of knowledge from medical text according to characteristics of different types of prior knowledge. At last, the paper collects the PubMed Central (PMC) data and the PHARE ontology, and finishes a series of experiments to evaluate the IMO-WE. The experimental results yield the following conclusions. The first one is that the data-rich model can achieve higher accuracy for the IMO-WE under same setting in training progress. So, collecting and training big medical data is a viable way to learn more useful knowledge. The second one is that the IMO-WE can be used to improving ontology knowledge when medical data is sufficiently abundant and the ontology has appropriate prior knowledge. Moreover, in the task of improving synonymous labels through similarity distance, the accuracy of IMO-WE is significantly better than that of the Random indexing method.
Inhibition of gap-junctional intercellular communication by environmentally occurring polycyclic aromatic hydrocarbons.

Polycyclic aromatic hydrocarbons (PAHs) are a broad class of ubiquitous environmental pollutants with known or suspected carcinogenic properties. Tumor promotion is a cell-proliferative step of cancer that requires the removal of cells from growth suppression via the inhibition of gap-junctional intercellular communication (GJIC). Inhibition of GJIC measured with an in vitro WB-F344 rat liver epithelial cell system was used to assess the relative potencies of 13 PAHs suggested by the U.S. Environmental Protection Agency (EPA) as the principal contaminants and 22 other PAHs, most of them identified in environmental samples. Maximal inhibition of GJIC was detected after 30 min of exposure, followed by a recovery in intercellular communication after an additional 30 min of exposure, suggesting a transient character of inhibition. Although microM concentrations of PAHs were required to reach the inhibition level equal to the model tumor promoter phorbol 12-myristate 13-acetate (IC50 = 8 nM), 12 of the PAHs under study were found to be strong inhibitors of GJIC (strongest effects were observed with fluoranthene, picene, 5-methylchrysene and nine additional PAHs). The other nine PAHs, including benzo[a]pyrene, inhibited GJIC only up to 50-75% of the control level. Interestingly, several high molecular weight PAHs with known strong carcinogenic properties possessed only weak (dibenzopyrenes) or no inhibition potency (dibenzofluoranthenes, naphtho[2,3-a]pyrene and benzo[a]perylene). Based on the IC50 values related to the reference PAH benzo[a]pyrene, we suggested arbitrary values of inhibition equivalency factors (GJIC-IEFs) ranging from 0 (noninhibiting PAHs) to 10.0 (strongest inhibitors), suitable for the purposes of environmental risk assessment.
Discrete-time quasi-sliding mode control of underwater vehicles

This paper presents a novel discrete-time quasi-sliding mode controller for the multiple-input multiple-output underwater vehicle system. First, according property of slow time-varying dynamics system, an on-line estimation method is used to eliminate the uncertainties of the underwater vehicle systems. Second, combined with the constant term and uncertainties estimation in the dynamics model, the discrete-time quasi-sliding mode control law is designed. And third, the chattering terms in the designed controller are eliminated by using the sliding surface exponential convergence method. Computer simulation is performed for a numerical model of an underwater vehicle in surge, sway, and yaw degrees of freedom. Results show the effectiveness of the proposed control law in the presence of system uncertainties and external disturbances without any predictive control techniques or intelligent control methods.
Characterizing the Vickrey combinatorial auction by induction

This note studies the allocation of heterogeneous commodities to agents whose private values for combinations of these commodities are monotonic by inclusion. This setting can accommodate the presence of complementarity and substitutability among the heterogeneous commodities. By using induction logic, we provide an alternative proof of Holmstrom’s (Econometrica 47:1137–1144, 1979) characterization of the Vickrey combinatorial auction as the unique efficient, strategy-proof, and individually rational allocation rule on a smoothly connected domain of value profiles. Our approach is elementary, not involving smoothness, and intuitive in the sense that familiar properties of the single-item second-price auction provide the first step in our induction on the number of auctioned items. Moreover, our method of proof can be applied to domains which may not be smoothly connected, including nonconvex ones.
TURBO CODES: a tutorial on a new class of powerful error correcting coding schemes Part II: Decoder Design and Performance

This is a tutorial paper meant to introduce the reader to the new concept of turbo codes. This is a new and very powerful error correction technique which outperforms all previous known coding schemes. It can be used in any communication system where a significant power saving is required or the operating signal–to–noise ratio (SNR) is very low. Deep space communications, mobile satellite/cellular communications, microwave links, paging, etc., are some of the possible applications of this revolutionary coding technique. Part I of the paper discussed the history of turbo codes, why they are different from traditional convolutional/block codes, the turbo encoder structures and issues related to the interleaver design. Part II addresses the decoder architecture, the achievable performance for turbo codes for a wide range of coding rates and modulation techniques and discusses delay and implementation
Comparative Study On The Photocatalytic Degradation Of Malachite Green Using Zinc Oxide Under Different Sources Of Radiation

Commercial ZnO was used as a catalyst for the degradation of malachite green in aqueous solution. The catalyst was tested under different light sources (dark, visible lamp and solar radiation). The photocatalytic degradation efficiency of the catalyst for the adsorbed malachite green was found to be higher effective (88%) under solar irradiation than visible irradiation (80%) considering both at the same time of irradiation. The photocatalytic degradation efficiency of the catalyst for the adsorbed malachite green in dark was found to be least effective. This implies that ZnO can use for degradation of organic pollutants simply in the presence of sun light.
Lifting scheme: a new philosophy in biorthogonal wavelet constructions

In this paper we present the basic idea behind the lifting scheme, a new construction of biorthogonal wavelets which does not use the Fourier transform. In contrast with earlier papers we introduce lifting purely from a wavelet transform point of view and only consider the wavelet basis functions in a later stage. We show how lifting leads to a faster, fully in- plane implementation of the wavelet transform. Moreover, it can be used in the construction of second generation wavelets, wavelets that are not necessarily translates and dilates of one function. A typical example of the latter are wavelets on the sphere.
Tracking of Probabilistically Coupled Features

In this paper an approach on tracking objects consisting of multiple parts is presented. Instead of tracking each part independently, all features are tracked simultaneously. Therefore, the spatial dependencies of the object’s parts are described by a probabilistic model that is called “coupled structure”. The tracking process is performed using an algorithm for propagating conditional probability density function over time, called CONDENSATION algorithm. The main advantage of our approach is, that object modeling and object tracking are embedded into a completely probabilistic framework, so uncertainty can be handled very powerful and elegant. Finally, we demonstrate the applicability of our approach by tracking a moving human face in a difficult environment and give some experimental results.
The Chemistry and Biology of Alkannin, Shikonin, and Related Naphthazarin Natural Products.

Wound healing properties of plant extracts that contain the naphthoquinone natural products alkannin (1) and shikonin (2) have been known for many centuries. More recently, the biological properties of 1, 2, and related derivatives have been demonstrated experimentally, and their production both by cell cultures and chemical synthesis has been studied extensively.
Hydrology and Earth System Sciences the Effectiveness of Polder Systems on Peak Discharge Capping of Floods along the Middle Reaches of the Elbe River in Germany

In flood modelling, many one-dimensional (1-D) hydrodynamic models are too restricted in capturing the spatial differentiation of processes within a polder or system of polders and two-dimensional (2-D) models are very demanding in data requirements and computational resources. The latter is an important consideration when uncertainty analyses using the Monte Carlo techniques are to complement the modelling exercises. This paper describes the development of a quasi-2-D modeling approach, which still calculates the dynamic wave in 1-D but the discretisation of the computational units are in 2-D, allowing a better spatial representation of the flow in polders and avoiding large additional expenditure on data pre-processing and computational time. The model DYNHYD (1-D hydrodynamics) from the WASP5 modeling package was used as a basis for the simulations and extended to incorporate the quasi-2-D approach. A local sensitivity analysis shows the sensitivity of parameters and boundary conditions on the filling volume of polders and capping of the peak discharge in the main river system. Two flood events on the Elbe River, Germany were used to calibrate and test the model. The results show a good capping effect on the flood peak by the proposed systems. The effect of capping reduces as the flood wave propagates down stream from the polders (up to 0.5 cm of capping is decreased for each additional kilometer from the polder).
K-means based double-bit quantization for hashing

Hashing function is an efficient way for nearest neighbor search in massive dataset because of low storage cost and low computational cost. However, it is NP hard problem to transform data points from the original space into a new hypercube space directly. Typically, the most of hashing methods choose a two-stage strategy. In the first stage, dimension reduction methods are used to project original data into desired dimensionality with real values. Then in the second stage, the real values are simply quantized into binary codes by thresholding for the most of existing methods. Although there is double-bit quantization (DBQ) strategy to improve quantization results. The existing solutions assume that the input data subject to gaussian distribution. In this paper, we propose a novel approach based on DBQ strategy, which can efficiently handle the situation under non-Gaussian distribution input. In the experiments, we demonstrate that our method is an efficient alternative to other methods based on DBQ strategy.