According to the Association of Traffic Accident Victims (AVIACTRAN), on average there are 10 potholes per kilometer of flexible pavement in the city of Lima.This is due to the lack of timely road maintenance by government authorities, as they do not have a system that allows them to identify in real time the different pavement defects to make decisions.To address this problem, this paper proposes the use of the Cascade Trainer GUI algorithm and Python programming to determine defects in flexible pavements.The proposal consists of training the algorithm with images of different pavement defects using mobile phone cameras or drones for data collection and evaluation of the condition of the pavement.The implementation of the model provides a saving of 60% in the detection time of functional defects of the pavement compared to the traditional method.The methodology detects 5 types of defect...

Erick Saldaña received the support of the “Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - CONCYTEC" from Perú (CIENCIACTIVA programme, PhD scholarship contract agreement No. 104-2016-FONDECYT).

Microalgae are photosynthetic organisms with cosmopolitan distribution (i.e., marine, freshwater and terrestrial habitats) and possess a great diversity of species [1] and consequently an immense variation in biochemical compositions [2]. To date genomic information is available mainly from the model green microalga Chlamydomonas reinhardtii [3]. Here we provide the dataset of a de novo assembly and functional annotation of the transcriptomes of three native oleaginous microalgae from the Peruvian Amazon. Native oleaginous microalgae species Ankistrodesmus sp., Chlorella sp., and Scenedesmus sp. were cultured in triplicate using Chu-10 medium with or without a source of nitrate (NaNO3). Total RNA was purified, the cDNA libraries were constructed and sequenced as paired-end reads on an Illumina HiSeq™2500 platform. Transcriptomes were de novo assembled using Trinity v2.9.1. A total of 4...