The Future Between Quantum Computing and Cybersecurity

Quantum computing, a novel branch of technology based on quantum theory, processes information in ways beyond the capabilities of classical computers. Traditional computers use binary digits [bits], but quantum computers use quantum binary digits [qubits] that can exist in multiple states simultaneously. Since developing the first two-qubit quantum computer in 1998, the quantum computing field has experienced rapid growth. Cryptographic algorithms such as RSA and ECC, essential for internet security, rely on the difficulty of complex math problems that classical computers can’t solve. However, the advancement of quantum technology threatens these encryption systems. Algorithms, such as Shor’s, leverage the power of quantum machines to factor large numbers, a task challenging for classical computers. Acknowledging this threat, it is important to develop and implement quantum-resistant cryptography to safeguard communication, financial systems, and national security. This study covers the past, present, and future of quantum computing and cybersecurity and their increasingly connected roles. It provides a detailed history of both fields, explores the challenges posed by quantum computing to traditional cryptographic methods, and discusses the development of new, robust cryptographic solutions to ensure security in a future where quantum computing is prevalent

The Impact of Ethnic Identity on Attitudes Towards Counseling for Italian-Americans

Italian-Americans constitute 6% of the American population (Census, 2010). Although they are part of the White majority, they have a unique cultural experience, as they endorse ethnic values that differ from other White Americans. It has been noted that adherence to these values may impact the way Italian-Americans view mental health treatment. In an attempt to understand this dynamic, the present study investigated the impact of ethnic identity, acculturation, aspects of socioeconomic status, and collective self esteem on attitudes towards counseling for a sample of 242 self-identified Italian-Americans. It was hypothesized that acculturation would mediate the relationship between ethnic identity, collective self-esteem, and attitudes towards counseling. It was also hypothesized that aspects of socioeconomic status would moderate the relationship between ethnic identity and collective self-esteem and attitudes towards counseling. Hierarchical multiple regressions were conducted to test these hypothesized models; however, findings were not significant. Preliminary analysis revealed that age and gender were significantly predictive of attitudes towards counseling. Furthermore, exploratory analysis revealed a significant positive relationship between public collective self-esteem and aspects of socioeconomic status to attitudes towards counseling for this sample. These findings have implications for training, research, and practice for mental health professionals

Modern Methods of Estimating Biodiversity from Presence-Absence Surveys

Organismic and Evolutionary BiologyOther Research Uni

effect of the rolling temperature on hot formability of zam100 magnesium alloy

Abstract Magnesium alloy sheets are usually obtained by complex processing cycles including hot rolling operations. Temperature of the final stage of rolling strongly affects the microstructure and, consequently, the hot formability of the sheets. In this framework, the present work aims at investigating the effect of the rolling temperature on the hot formability of the innovative magnesium alloy ZAM100. To this purpose, two different rolling temperatures were used and hot formability was investigated by tensile tests performed in extended ranges of temperature and strain rate. The flow curves were analyzed in order to obtain constitutive models of hot formability

Computational aspects of N-mixture models

The N-mixture model is widely used to estimate the abundance of a population in the presence of unknown detection probability from only a set of counts subject to spatial and temporal replication (Royle, 2004, Biometrics 60,105–115). We explain and exploit the equivalence of N-mixture and multivariate Poisson and negative-binomial models, which provides powerful new approaches for fitting these models. We show that particularly when detection probability and the number of sampling occasions are small, infinite estimates of abundance can arise. We propose a sample covariance as a diagnostic for this event, and demonstrate its good performance in the Poisson case. Infinite estimates may be missed in practice, due to numerical optimization procedures terminating at arbitrarily large values. It is shown that the use of a bound, K, for an infinite summation in the N-mixture likelihood can result in underestimation of abundance, so that default values of K in computer packages should be avoided. Instead we propose a simple automatic way to choose K. The methods are illustrated by analysis of data on Hermann’s tortoise Testudo hermanni

Georreferenciamento de árvores em vias públicas com imagens esféricas nos bairros Jardim Cidade Nova e residencial Morumbi na cidade de São Sebastião do Paraíso/MG

Urban afforestation contributes to the well-being of the urban population, having a direct impact on thermal comfort, improving air quality, reducing noise and visual pollution. Indirectly, urban afforestation can contribute to improving the physical and mental health of the urban population. On the other hand, the presence of urban afforestation can lead to accidents, bringing risks to the population, especially when the vegetation is in contact with electrical transmission lines or when there is no proper management. This proper management of urban vegetation can enhance the benefits and also reduce the risk of accidents. However, proper management is only possible based on data that allow the public authorities to become aware of the current situation of the trees present on the roads. Several techniques can be used to acquire these data and in this work a land mobile mapping system with a spherical camera was used, in the Jardim Cidade Nova and Residencial Morumbi neighborhoods of the municipality of São Sebastião do Paraíso/MG. 240 trees were georeferenced and in comparison with the mapping performed with an orthophoto of approximate pixel size of 5cm, the discrepancy between the two georeferencing was 2.461 m, which shows the feasibility of this type of georeferencing.Trabalho de Conclusão de Curso (Graduação)A arborização urbana contribui para o bem-estar da população urbana, tendo impacto direto no conforto térmico, na melhoria da qualidade do ar, redução da poluição sonora e visual. De forma indireta, a arborização urbana pode contribuir para a melhoria da saúde física e mental da população urbana. Por outro lado, a presença de arborização urbana pode incorrer em acidentes, trazendo riscos para a população, principalmente quando a vegetação está em contato com linhas de transmissão elétrica ou quando não há manejo adequado. Esse manejo adequado da vegetação urbana pode potencializar os benefícios e ainda reduzir os riscos de acidentes. No entanto o manejo adequado só é possível a partir de dados que permitam ao poder público tomar conhecimento da situação atual das árvores presentes nas vias. Várias técnicas podem ser utilizadas para aquisição desses dados e nesse trabalho foi utilizado um sistema de mapeamento móvel terrestre com câmara esférica, nos bairros Jardim Cidade Nova e Residencial Morumbi do município de São Sebastião do Paraíso/MG. Foram georreferenciadas 240 árvores e na comparação com o mapeamento realizado com uma ortofoto de tamanho de pixel aproximado de 5cm, a discrepância entre os dois georreferenciamento foi de 2,461m, o que mostra a viabilidade desse tipo de georreferenciamento