Measuring the Score Matching of the Pairwise Deoxyribonucleic Acid Sequencing using Neuro-Fuzzy

The proposed model for getting the score matching of the deoxyribonucleic acid (DNA) sequence is introduced; the Neuro-Fuzzy procedure is the strategy actualized in this paper; it is used the collection of biological information of the DNA sequence performing with global and local calculations so as to advance the ideal arrangement; we utilize the pairwise DNA sequence alignment to gauge the score of the likeness, which depend on information gathering from the pairwise DNA series to be embedded into the implicit framework; an adaptive neuro-fuzzy inference system model is reasonable for foreseeing the matching score through the preparation and testing in neural system and the induction fuzzy system in fuzzy logic that accomplishes the outcome in elite execution

Becoming West Indian: Culture, Self, and Nation in St. Vincent, by Virginia Heyer Young. Washington and London: Smithsonian Institution Press, 1993

Becoming West Indian: Culture, Self, and Nation in St. Vincent, by Virginia Heyer Young. Washington and London: Smithsonian Institution Press, 1993, 229 pp. Reviewed byHelen I. Safa, Professor of Anthropology and Latin American Studies, University of Florida

MUDANÇAS NOS PAPÉIS DE GÊNERO NA AMÉRICA LATINA E NO CARIBE

A autora examina as mudanças recentes nos papéis de gênero ocorridas na América Latina e no Caribe, relacionando-as com a crise econômica dos anos 80, que atingiu severamente a região. Três aspectos principais são enfocados: (i) a crescente participação feminina na força de trabalho; (ii) o impacto deste fenômeno sobre a estrutura familiar (crescimento do número de domicílios chefiados por mulheres e do peso da contribuição destas para a economia doméstica); (iii) a crescente participação feminina nos movimentos sociais.The paper investigates recent changes in gender roles in Latin America and the Caribbean in relation to the economic crisis of the Eighties which has badly affected this region. It focuses in particular on three aspects: 1. the increasing participation of women in the labour force; 2. the consequences of such increase for the family structure (increase of female-headed households and growing importance of women's contribution to the household budget); 3. a growing participation of women in social movements. Publicação Online do Caderno CRH:http://www.cadernocrh.ufba.b

The Implementation in Policy of Eco-Religious Tourism on the Basis of Adat Law Society in Bali

ABSTRACT The implementation in policy of eco-religiou

Square-Root parametrization of dark energy in f(Q)f(Q) cosmology

This paper is a parametrization of the equation of state (EoS) parameter of dark energy (DE), which is parameterized using Square-Root (SR) form i.e. \omega _{SR}=\text{\omega _{0}}+\text{\omega _{1}}\frac{z}{\sqrt{z^{2}+1}}, where $\omega _{0}$ and $\omega _{1}$ are free constants. This parametrization will be examined in the context of the recently suggested $f(Q)$ gravity theory as an alternative to General Relativity (GR), in which gravitational effects are attributed to the non-metricity scalar $Q$ with the functional form $f(Q)=Q+\alpha Q^{n}$, where $\alpha$ and $n$ are arbitrary constants. We derived observational constraints on model parameters using the Hubble dataset with 31 data points and the Supernovae (SNe) dataset from the Pantheon samples compilation dataset with 1048 data points. For the current model, the evolution of the deceleration parameter, density parameter, EoS for DE, and $Om(z)$ diagnostic have all been investigated. It has been shown that the deceleration parameter favors the current accelerated expansion phase. It has also been shown that the EoS parameter for DE has a quintessence nature at this time.Comment: Communications in Theoretical Physics accepted versio

Incremental algorithm for association rule mining under dynamic threshold

Data mining is essentially applied to discover new knowledge from a database through an iterative process. The mining process may be time consuming for massive datasets. A widely used method related to knowledge discovery domain refers to association rule mining (ARM) approach, despite its shortcomings in mining large databases. As such, several approaches have been prescribed to unravel knowledge. Most of the proposed algorithms addressed data incremental issues, especially when a hefty amount of data are added to the database after the latest mining process. Three basic manipulation operations performed in a database include add, delete, and update. Any method devised in light of data incremental issues is bound to embed these three operations. The changing threshold is a long-standing problem within the data mining field. Since decision making refers to an active process, the threshold is indeed changeable. Accordingly, the present study proposes an algorithm that resolves the issue of rescanning a database that had been mined previously and allows retrieval of knowledge that satisfies several thresholds without the need to learn the process from scratch. The proposed approach displayed high accuracy in experimentation, as well as reduction in processing time by almost two-thirds of the original mining execution time

Socio-Economic Factors Affecting the Income of Small-scale Agroforestry Farms in Hill Country Areas in Yemen: A comparison of OLS and WLS Determinants

Yemen is a less-developed country in the Arabian Peninsula, with only 3% arable land. An agroforestry land-use system has been practiced traditionally by small-scale farmers, but is associated with low productivity and income. A study has been undertaken to determine the socio-economic attributes of farmers that influence the financial performance of agroforestry and nonagroforestry farms in the Bura’a Mountain region. A survey was conducted of 150 farmers involved in both agroforestry and non-agroforestry. Both OLS and WLS regression were applied, and coefficients compared in terms of consistency and goodness of fit. Incomes of farmers were found to be influenced by education, area of land, livestock holding, family size, and whether coffee is grown, but not farmer’s age. The WLS method produced efficient and consistent results, whereas OLS regression was affected by the heteroscedasticity. The findings of the study indicate that the farmers of the study area are in need of financial and technical support from government to increase their income. Infrastructural development and public intervention in developing farmers’ technical know-how could enhance production and ensure the optimum use of land as well as soil and water conservation