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Search Results: 1 - 10 of 6803 matches for " Virginia;Boris "
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O estigma da violência sofrida por mulheres na rela??o com seus parceiros íntimos
Moreira, Virginia;Boris, Georges Daniel Janja Bloc;Venancio, Nadja;
Psicologia & Sociedade , 2011, DOI: 10.1590/S0102-71822011000200021
Abstract: this article describes a research about the stigma of violence suffered by women in their relationship with intimate partners. it focalizes the understanding on which determining factors in the aggressive/abusive relation concur in order that women feel so many difficulties to denounce their aggressors. we used the mundane critical phenomenological method and, as an implement, we used audio-record interviews. the results show that these women endure several modalities of violence in the relation with their partners. feeling psychologically stigmatized, they avoid denouncing because they do not want to be recognized by society as trashed and ill-treated women.
Spanish-Language Home Visitation to Disadvantaged Latino Preschoolers: A Means of Promoting Language Development and English School Readiness  [PDF]
Virginia Mann
Creative Education (CE) , 2014, DOI: 10.4236/ce.2014.56051
Abstract:

This study reports five years of a school readiness intervention called “HABLA” (Home Based Activities Building Language Acquisition), designed to increase and enrich speech and literacy activities in the homes of economically and educationally disadvantaged Latino families with children between the age of 2 and 4. A team of trained home visitors provided two years of a 23-week program of visitation in which they met with parent(s) and child twice weekly. Both years presented a Spanish language adaptation of the parent-child home program model; home visitors provide intensive modeling and coaching of non-directive Spanish language use, conversation, and literacy activities. Administration of the PLS-3 in Spanish at the onset and culmination of each year of the program indicates significant increases in receptive and expressive language for each year of visitation (7.8 standard points for the first year, 4.4 for the second) with effect-size r ranging from .24 to 42. Participants had significantly improved their levels of oral Spanish skill and scored much higher than a comparison group of non-treated. A subset of graduates of the two-year program was tested as kindergarteners; they showed a continued advantage over a comparison group of 18 peers who had not received the intervention. For the graduates, both their Spanish PLS-3 scores and English PLS-4 scores were significantly higher, and their parents reported a continued effort to provide literacy experiences at home. The HABLA participants also showed a clear advantage for an English language test of phonological awareness, one of the strongest predictors of school success.

The role of the fat mass and obesity associated gene (FTO) in breast cancer risk
Virginia Kaklamani, Nengjun Yi, Maureen Sadim, Kalliopi Siziopikou, Kui Zhang, Yanfei Xu, Sarah Tofilon, Surbhi Agarwal, Boris Pasche, Christos Mantzoros
BMC Medical Genetics , 2011, DOI: 10.1186/1471-2350-12-52
Abstract: We performed a case-control study of 354 breast cancer cases and 364 controls. This study was conducted at Northwestern University. We examined the role of single nucleotide polymorphisms (SNPs) of intron 1 of FTO in breast cancer risk. We genotyped cases and controls for four SNPs: rs7206790, rs8047395, rs9939609 and rs1477196. We also evaluated tissue expression of FTO in normal and malignant breast tissue.We found that all SNPs were significantly associated with breast cancer risk with rs1477196 showing the strongest association. We showed that FTO is expressed both in normal and malignant breast tissue. We found that FTO genotypes provided powerful classifiers to predict breast cancer risk and a model with epistatic interactions further improved the prediction accuracy with a receiver operating characteristic (ROC) curves of 0.68.In conclusion we have shown a significant expression of FTO in malignant and normal breast tissue and that FTO SNPs in intron 1 are significantly associated with breast cancer risk. Furthermore, these FTO SNPs are powerful classifiers in predicting breast cancer risk.Breast cancer is the most common malignancy in women in developed countries. In 2009 an estimated 194,280 new cases of breast cancer were diagnosed in the US[1]. Several studies have associated obesity and weight gain with breast cancer risk[2,3] and there is evidence that weight loss, as well as, decrease in fat consumption may lead to decreased risk for breast cancer[4,5]. Diabetes mellitus (DM) has also been associated with breast cancer risk [6]. This association between DM, obesity and breast cancer lead us to evaluate the role of genes, which have been found to be associated with diabetes and obesity, in predicting breast cancer risk.The fat mass and obesity (FTO) associated gene was recently found in several genome wide association studies (GWAS) to be associated with obesity and type II DM[7-11]. More specifically single nucleotide polymorphisms (SNPs) in intron 1 o
Cubic Root Extractors of Gaussian Integers and Their Application in Fast Encryption for Time-Constrained Secure Communication  [PDF]
Boris Verkhovsky
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2011, DOI: 10.4236/ijcns.2011.44024
Abstract: There are settings where encryption must be performed by a sender under a time constraint. This paper de-scribes an encryption/decryption algorithm based on modular arithmetic of complex integers called Gaus-sians. It is shown how cubic extractors operate and how to find all cubic roots of the Gaussian. All validations (proofs) are provided in the Appendix. Detailed numeric illustrations explain how to use the method of digital isotopes to avoid ambiguity in recovery of the original plaintext by the receiver.
Primality Testing Using Complex Integers and Pythagorean Triplets  [PDF]
Boris Verkhovsky
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2012, DOI: 10.4236/ijcns.2012.59062
Abstract: Prime integers and their generalizations play important roles in protocols for secure transmission of information via open channels of telecommunication networks. Generation of multidigit large primes in the design stage of a cryptographic system is a formidable task. Fermat primality checking is one of the simplest of all tests. Unfortunately, there are composite integers (called Carmichael numbers) that are not detectable by the Fermat test. In this paper we consider modular arithmetic based on complex integers; and provide several tests that verify the primality of real integers. Although the new tests detect most Carmichael numbers, there are a small percentage of them that escape these tests.
Deterministic Algorithm Computing All Generators: Application in Cryptographic Systems Design  [PDF]
Boris Verkhovsky
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2012, DOI: 10.4236/ijcns.2012.511074
Abstract: Primitive elements play important roles in the Diffie-Hellman protocol for establishment of secret communication keys, in the design of the ElGamal cryptographic system and as generators of pseudo-random numbers. In general, a deterministic algorithm that searches for primitive elements is currently unknown. In information-hiding schemes, where a primitive element is the key factor, there is the freedom in selection of a modulus. This paper provides a fast deterministic algorithm, which computes every primitive element in modular arithmetic with special moduli. The algorithm requires at most O(log2p) digital operations for computation of a generator. In addition, the accelerated-descend algorithm that computes small generators is described in this paper. Several numeric examples and tables illustrate the algorithms and their properties.
Public-Key Cryptosystems with Secret Encryptor and Digital Signature  [PDF]
Boris Verkhovsky
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2013, DOI: 10.4236/ijcns.2013.61001
Abstract:

This paper describes and compares a variety of algorithms for secure transmission of information via open communication channels based on the discrete logarithm problem that do not require search for a generator (primitive element). Modifications that simplify the cryptosystem are proposed, and, as a result, accelerate its performance. It is shown that hiding information via exponentiation is more efficient than other seemingly simpler protocols. Some of these protocols also provide digital signature/sender identification. Numeric illustrations are provided.

The Analysis of the Equilibrium Cluster Structure in Supercritical Carbon Dioxide  [PDF]
Boris Sedunov
American Journal of Analytical Chemistry (AJAC) , 2012, DOI: 10.4236/ajac.2012.312A119
Abstract:

The monomer fraction density based analysis of precise thermophysical data for pure fluids is developed to study the molecular structures in supercritical fluids in general and in CO2 in particular. The series expansion by powers of the monomer fraction density of the potential energy density is used to discover the cluster structure in supercritical fluids and the clusters’ bond energies in CO2. The method of clusters separation between classes of loose and dense clusters in the CO2 supercritical fluid is developed. The method of the energetically averaged number of dense clusters is developed to study the mechanism of the soft structural transition between the gas-like and liquid-like fluids in the supercritical CO2.

Faster Method for Secure Transmission of Information with Sender Identification  [PDF]
Boris Verkhovsky
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2013, DOI: 10.4236/ijcns.2013.62009
Abstract:

This paper describes an algorithm for secure transmission of information via open communication channels based on the discrete logarithm problem. The proposed algorithm also provides sender identification (digital signature). It is twice as fast as the RSA algorithm and requires fifty per cent fewer exponentiations than the ElGamal cryptosystems. In addition, the algorithm requires twice less bandwidth than the ElGamal algorithm. Numerical examples illustrate all steps of the proposed algorithm: system design (selection of private and public keys), encryption, transmission of information, decryption and information recovery.

Thermal Analysis of Thermophysical Data for Equilibrium Pure Fluids  [PDF]
Boris Sedunov
Journal of Modern Physics (JMP) , 2013, DOI: 10.4236/jmp.2013.47A2002
Abstract:

The thermal analysis of precise thermophysical data for pure fluids from electronic databases is developed to investigate the molecular interaction mechanisms and parameters and the structural features of heterogeneities in fluids. The method is based on the series expansion of thermophysical values by powers of the monomer fraction density. Unlike the virial expansion by powers of the total density, the series expansion terms in this method directly reflect properties of the corresponding cluster fractions. The internal energy had been selected among thermophysical properties as the most informative for this method. The thermal analysis of its series expansion coefficients permits to estimate the temperature dependence of the pair bond parameters, the clusters’ bond energies and equilibrium constants, the structural transitions between dominating isomers of clusters. The application of method to different pure fluids, including noble and molecular gases with van der Waals and polar molecular interactions, brings unknown clusters’ characteristics for the fluids under investigation. The thermal analysis of the ordinary and heavy Water vapors points on no trivial isotopic effects. The unpredictable growth of the pair bond energy with temperature in Alkanes points on existence in hydrocarbons of some unknown molecular interaction forces in addition to dispersion forces.

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