APLICATIVO MOBILE PARA REGISTRO DE ÁREAS DE RISCO NA CIDADE DE MANAUS – AM: UM RELATO DE DESENVOLVIMENTO

Neste artigo será apresentada uma aplicação Android desenvolvida para registro de áreas de risco, com a intenção de informar desastres ambientais na cidade de Manaus e alertar a população dos locais de risco, armazenando dados e informações das localidades de risco em uma base de dados. O app tende a levar a população de Manaus um recurso que venha auxilia-los, na prevenção e conscientização sobre os desastres ambientais que podem ocorrer em zonas da capital, visto que essas pessoas dispõem de poucos meios e recursos para informá-los de forma mais precisa a respeito dos pontos de risco da cidade, em virtude de Manaus possuir muitas áreas com proeminência para inundações, deslizamentos de terras e outras catástrofes, assim o software mobile se torna uma alternativa viável

Descriptive Analysis of Advantages and Disadvantages of Expanded Polystyrene Monolytic Panels - EPS

The light concrete of expanded Polystyrene is an innovation in the construction market, as it stands out for its execution, cost and efficiency. This new technique seeks to provide the constructions: lightness, cost reduction, reduction of time in works and good thermal and acoustic performance, producing comfort to the environment. This work aimed to study the use of light EPS concrete (Styrofoam) in internal and external walls, presenting the comparisons between this system and conventional masonry with ceramic blocks through the monitoring of a work in the city of Manaus - Amazonas

Implementation of RSA Cryptography Algorithm in Language C in Exchange of Text Messages

The encryption approach is widely used in mobile applications where there is message exchange and in banking transactions or financial pointers tools. The present research has as a proposal to approach an algorithm developed in C language and based on the RSA encryption methodology using the symmetric and asymmetric key concepts in order to demonstrate its use in the exchange of messages where there is secrecy of information, thus the importance of information security, its use has obtained interesting results with the manipulation of large scale vectors where the number of characters is a factor the process of letter inversion for encryption and decryption

NEOTROPICAL CARNIVORES: a data set on carnivore distribution in the Neotropics

Mammalian carnivores are considered a key group in maintaining ecological health and can indicate potential ecological integrity in landscapes where they occur. Carnivores also hold high conservation value and their habitat requirements can guide management and conservation plans. The order Carnivora has 84 species from 8 families in the Neotropical region: Canidae; Felidae; Mephitidae; Mustelidae; Otariidae; Phocidae; Procyonidae; and Ursidae. Herein, we include published and unpublished data on native terrestrial Neotropical carnivores (Canidae; Felidae; Mephitidae; Mustelidae; Procyonidae; and Ursidae). NEOTROPICAL CARNIVORES is a publicly available data set that includes 99,605 data entries from 35,511 unique georeferenced coordinates. Detection/non-detection and quantitative data were obtained from 1818 to 2018 by researchers, governmental agencies, non-governmental organizations, and private consultants. Data were collected using several methods including camera trapping, museum collections, roadkill, line transect, and opportunistic records. Literature (peer-reviewed and grey literature) from Portuguese, Spanish and English were incorporated in this compilation. Most of the data set consists of detection data entries (n = 79,343; 79.7%) but also includes non-detection data (n = 20,262; 20.3%). Of those, 43.3% also include count data (n = 43,151). The information available in NEOTROPICAL CARNIVORES will contribute to macroecological, ecological, and conservation questions in multiple spatio-temporal perspectives. As carnivores play key roles in trophic interactions, a better understanding of their distribution and habitat requirements are essential to establish conservation management plans and safeguard the future ecological health of Neotropical ecosystems. Our data paper, combined with other large-scale data sets, has great potential to clarify species distribution and related ecological processes within the Neotropics. There are no copyright restrictions and no restriction for using data from this data paper, as long as the data paper is cited as the source of the information used. We also request that users inform us of how they intend to use the data

NEOTROPICAL ALIEN MAMMALS: a data set of occurrence and abundance of alien mammals in the Neotropics

Biological invasion is one of the main threats to native biodiversity. For a species to become invasive, it must be voluntarily or involuntarily introduced by humans into a nonnative habitat. Mammals were among first taxa to be introduced worldwide for game, meat, and labor, yet the number of species introduced in the Neotropics remains unknown. In this data set, we make available occurrence and abundance data on mammal species that (1) transposed a geographical barrier and (2) were voluntarily or involuntarily introduced by humans into the Neotropics. Our data set is composed of 73,738 historical and current georeferenced records on alien mammal species of which around 96% correspond to occurrence data on 77 species belonging to eight orders and 26 families. Data cover 26 continental countries in the Neotropics, ranging from Mexico and its frontier regions (southern Florida and coastal-central Florida in the southeast United States) to Argentina, Paraguay, Chile, and Uruguay, and the 13 countries of Caribbean islands. Our data set also includes neotropical species (e.g., Callithrix sp., Myocastor coypus, Nasua nasua) considered alien in particular areas of Neotropics. The most numerous species in terms of records are from Bos sp. (n = 37,782), Sus scrofa (n = 6,730), and Canis familiaris (n = 10,084); 17 species were represented by only one record (e.g., Syncerus caffer, Cervus timorensis, Cervus unicolor, Canis latrans). Primates have the highest number of species in the data set (n = 20 species), partly because of uncertainties regarding taxonomic identification of the genera Callithrix, which includes the species Callithrix aurita, Callithrix flaviceps, Callithrix geoffroyi, Callithrix jacchus, Callithrix kuhlii, Callithrix penicillata, and their hybrids. This unique data set will be a valuable source of information on invasion risk assessments, biodiversity redistribution and conservation-related research. There are no copyright restrictions. Please cite this data paper when using the data in publications. We also request that researchers and teachers inform us on how they are using the data