Sugarcane has primarily been used for sugar and ethanol production. It creates large quantities of residual lignocellulosic biomass such as sugarcane bagasse, leaves, tops, and vinasse. Biomass is a sustainable prospect for biorefineries aiming to optimize production processes. We detail recent research developments in recycling sugarcane, including energy generation and pyrolysis to obtain biofuels, for example. To produce biochar, the energy cost of operating at high temperatures and large-scale production remain as obstacles. The energy generation prospects can be enhanced by pellet production; however, it requires an improvement in quality control for long-term storage or long-distance transportation. In civil construction, the materials still need to prove their long-term efficiency and reliability. Related to adsorbent materials, the use of sugarcane bagasse has the advantage of being low-cost and environmentally friendly. Nevertheless, the extraction, functionalization, and modification of cellulose fibers, to improve their adsorption properties or even mode of operation, still challenges. The synthesis of nanostructures is still lacking high yields and the ability to scale up. Finally, controlling dispersion and orientation and avoiding fiber agglomeration could improve the mechanical response of composites using sugarcane bagasse. The different possibilities for using sugarcane and its residues reinforce the importance of this material for the industry and the global economy. Thus, the present work addresses current challenges and perspectives of different industrial processes involving sugarcane aiming to support future research on waste-derived subjects.

Ethylene propylene diene monomer (EPDM) is a synthetic rubber widely used in industry and commerce due to its high thermal and chemical resistance. Nanotechnology has enabled the incorporation of nanomaterials into polymeric matrixes that maintain their flexibility and conformation, allowing them to achieve properties previously unattainable, such as improved tensile and chemical resistance. In this work, we summarize the influence of different nanostructures on the mechanical, thermal, and electrical properties of EPDM-based materials to keep up with current research and support future research into synthetic rubber nanocomposites.

The northeast region of Brazil (NEB) suffers with the worst drought during 2012–2016 that has greatly affected water availability in general, in particular the hydropower reservoirs. We have analyzed a large dataset of satellite measurements and images to understand the variability of precipitation, land surface temperature (LST) and their association with the Normalized Difference Vegetation Index (NDVI), indicator of water and vegetation stress. The drought conditions during 2012–2016 show association of poor rainfall in the year 2012, an increase of LST 7ºC above the average, reduction in NDVI upto 30% and a sharp decrease upto 28% in Relative Humidity (RH). The largest reservoir of the NEB, Sobradinho, shows decline in surface water upto about 50% which is clearly evident from the Normalized Difference Water Index (NDWI) for the period 2015–2016 compared to the year 2011.

Nowadays, biocomposites represent a new generation of materials that are environmentally friendly, cost-effective, low-density, and not derived from petroleum. They have been widely used to protect the environment and generate new alternatives in the polymer industry. In this study, we incorporated untreated jute fibers (UJFs) and alkaline-treated jute fibers (TJFs) at 1–5 and 10 phr into TSR 10 natural rubber as reinforcement fillers. These composites were produced to be used in countersole shoes manufacturing. Untreated fibers were compared to those treated with 10% sodium hydroxide. The alkali treatment allowed the incorporation of fibers without compromising their mechanical properties. The TJF samples exhibited 8% less hardness, 70% more tensile strength, and the same flexibility compared to their pure rubber counterparts. Thanks to their properties and ergonomic appearance, the composites obtained here can be useful in many applications: construction materials (sound insulating boards, and flooring materials), the automotive industry (interior moldings), the footwear industry (shoe soles), and anti-static moldings. These new compounds can be employed in innovative processes to reduce their carbon footprint and negative impact on our planet. Using the Lorenz–Park equation, the loaded composites examined in this study exhibited values above 0.7, which means a competitive load–rubber interaction. Scanning electron microscopy (SEM) was used to investigate the morphology of the composites in detail.

In the scientific literature, multiple studies address the application of road extraction methodologies to a particular cartographic dataset. However, it is difficult for any study to perform a more reliable comparison among road extraction methodologies when their results come from different cartographic datasets. Therefore, aiming to enable a more reliable comparison among different road extraction methodologies from the scientific literature, this study proposed a statistical evaluation and analysis of road extraction methodologies using a common image dataset. To achieve this goal, we setup a dataset containing remote sensing images of three different road types, highways, cities network and rural paths, and a group of images from the ISPRS (International Society for Photogrammetry and Remote Sensing) dataset. Furthermore, three road extraction methodologies were selected from the literature, in accordance with their availability, to be processed and evaluated using well-known statistical metrics. The achieved results are encouraging and indicate that the proposed statistical evaluation and analysis can allow researchers to evaluate and compare road extraction methodologies using this common dataset extracting similar characteristics to obtain a more reliable comparison among them.

The Data Structure discipline consists on studying data organization in computer memory, primary and secondary ones. Data structures are organized using conceptual and behavioral issues that require high degree of abstract representation. It has been observed significant difficulty, by students, to understand the abstract concepts related, which is observed during practical tasks. In fact, practical tasks are essential to consolidate knowledge about data structures, but the students need support to understand the concepts before practical tasks. There are several works in literature showing tools to support conceptual and behavior comprehension, each one with specific features. However, the tools by themselves are not enough, dealing with specific data structure, with severe constraint. In literature, some tools are presented using case studies specific to the data structures supported. And we observed that the tools are presented focusing on their functionalities (the case studies are designed to explore such functionalities). Also, we observed the lack of a methodological approach to incorporate tools in a learning process effectively. In this scenario, we address the use of technological support to teaching-learning process. We propose a methodology based on constructionism, in which students, tasks (home works) and tools are coordinated by a teacher in favor of knowledge construction. In order to present our methodology, we use a learning tool, named CADILAG, developed using visual resources to support students understand data structures concepts. We applied the methodology proposed for two years. The positive results are observed in students grades and their evaluation. Also, according to the teacher, the students have shown interest and motivation.