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This is the accepted manuscript of the paper "Evaluation of cyanobacteria bioenergy: a potential resource in Antarctica detected by Multi/Hyper-spectral satellite Image", published as final paper in "International Journal of Renewable Energy Technology Research Vol. 5, No. 3, June 2016, pp. 1-11, ISSN: 2325 - 3924 (Online) http://www.ijretr.org/IJRETR_Vol.%205,%20No.%203,%20June%202016/Evaluation.pdf" Micheli C, Belmonte A, Pignatelli A, De Cecco L., Piermattei V., Marcelli M., Borfecchia F. Evaluation of cyanobacteria bioenergy: a potential resource in Antarctica detected by Multi/Hyper-spectral satellite Image (2016). INTERNATIONAL JOURNAL OF RENEWABLE ENERGY TECHNOLOGY RESEARCH, Vol. 5, No. 3, June 2016, pp. 1-11, ISSN: 2325 - 3924 (Available online at http://ijretr.org) This paper focuses on the natural conservation aspect of bioenergy conversion by polar cyanobacteria; they could represent a key requirement in the implementation of alternative renewable sources, since they have many advantages for fuel-level energy storage, particularly in polar habitat. We propose an innovative method for evaluating the potential bioenergy resource already existing in Antarctica, discovering cyanobacteria patches by remote sensing technique. Cyanobacteria, which are considered potential precursors of liquid fuel and are alternative of bioenergy conversion, were collected in Antarctica during austral summer 2003. At the same time, in situ the microbial mat was identified by polar sensors (Hyperion, ALI and Lansat ETM+) having spectral/spatial resolution, which are able to detect photosynthetic pigments that change in these populations not available elsewhere and suitable for their effective change assessment capabilities. According to physiological, morphological and genetic features of collected samples, two groups of cyanobacteria (included in Nostocales and Oscillatoriales orders) were identified and, simultaneously mapped at three Antarctic stations Terranova Bay, Enigma Lake and Icaro in relation to pigment spectral responses to hyperspectral signatures. At the beginning of the 3rd era, the emergent need for an energetic biomass at an international level is highlighted using careful site selection and application of appropriate methods. Thus, in our results the technology links the perspective of knowledge of biomass as energy budget in the Antarctic ecosystem, together with the monitoring of integrated analyses of whole ecosystems from space.

-The main objective of this work was to apply the indicators of Ecological Footprint to measure the current state of the art company studied the Industrial Pole of Manaus. For this, there was a comprehensive review of existing methodologies for adaptation on a smaller scale .Then the consumption variables necessary for the calculation of the Ecological Footprint in Corporate Environment were identified .It was used at first exploratory research and approach the second moment of theoretical and descriptive research by collecting primary data within an enterprise PIM . The literature for composition of a theoretical and documentary research for access to secondary data required for calculation of the indicators were also used .Data collection was conducted through a questionnaire , with explanatory text at the beginning , which was answered by those responsible for the requested data. The quantitative method is related to the use of quantification of variables ,use of formulas for the calculation of indicators and statistical techniques to ensure accurate results . As a result of the research, it was found that the Ecological Footprint Company (-894.62 gha) is within the standards set nationally (2.9 gha) and that may encourage more consumption of fish instead of beef . It is relevant attention to the sustainability of our green areas, because of the 44 hectares of the Urban Zone of Manaus, 28 000 have been deforested. Cite as: MVA Barros, AC Kieling. "ECOLOGICAL FOOTPRINT: APPROXIMATE FOR A STUDY ON APPLICABILITY OF INDUSTRIAL INDUSTRIES POLO MANAUS FREE ZONE – PIM (BRAZIL)". In: REVIEW OF RESEARCH, Vol. 4, Issue 6/March 2015, pp. 1-11.

Abstract Globally, the cement industry accounts for approximately 5 percent of current anthropogenic carbon dioxide (CO2) emissions. World cement demand and production are increasing significantly, leading to an increase in this industry’s absolute energy use and CO2 emissions. Development of new energy-efficiency and CO2 emission-reduction technologies and their deployment in the market will be key for the cement industry’s mid- and long-term climate change mitigation strategies. This paper is an initial effort to compile available information on process description, energy savings, environmental and other benefits, costs, commercialization status, and references for emerging technologies to reduce the cement industry’s energy use and CO2 emissions. Although studies from around the world identify a variety of sector-specific and cross-cutting energy-efficiency technologies for the cement industry that have already been commercialized, information is scarce and/or scattered regarding emerging or advanced energy-efficiency and low-carbon technologies that are not yet commercialized. This paper consolidates available information on eighteen emerging technologies for the cement industry, with the goal of providing engineers, researchers, investors, cement companies, policy makers, and other interested parties with easy access to a well-structured database of information on these technologies.

Coastal areas are increasingly endangered by climate change and associated sea level rise, which could have serious consequences, such as shoreline erosion and coastal city submergence. The current study aims to conduct a historical trend analysis (HTA) and predict the shoreline changes of the Nile Delta coasts. The Digital Shoreline Analysis System (DSAS) software, with the GIS environment, is used for monitoring the shoreline changes using a number of statistical methods (SCE, NSM, EPR, WLR and LRR). Satellite images from 1974 to 2022 were collected and geometrically corrected using supervised classification to detect the shoreline change of the Nile Delta. The GIS was used for detecting and monitoring changes in the shoreline, as well as forecasting future changes in the shoreline for the next 10 and 20 years (2033–2043). The critical sections of the Nile Delta were identified, and a time series analysis of shoreline changes was conducted. For each section, linear equations were established to predict probable changes in the shoreline. Between 1974 and 2022, the shoreline of the Nile Delta moved inland in different directions due to coastal erosion, and predictions indicate that this erosion will continue until both 2033 and 2043, particularly affecting the Rosetta and Damietta sections. The erosion rate ranged between 30–60 and 10–25 m/year at Rosetta and Damietta, respectively, but at Manzala, it ranged between 8–15 m/year. Continued erosion of the Nile Delta shoreline could have severe consequences that could affect the inhabitants, economy, buildings, roads, railways, and ports. These areas need an integrated coastal management strategy which incorporates increasing consciousness, urban development, and the implementation of rules and adaptation plans. The results of the current study and forecasting the shoreline change could help in protecting such areas.

The smart grid promises to enable novel energy services, supporting a greater integration of renewable energy sources. Major issues in this context are data protection and privacy risks, wherein malicious actors or organizations misuse personal data that is collected, processed and stored to enable these services. To address this problem, the European Commission has proposed a risk-driven process to data protection impact assessment. In this article, we introduce this process and present a tool that can support its implementation.

The study of the distribution of protected animal species in Europe is especially relevant in a changing climate. Therefore, in this work, we tried to solve the problem of the possibility of habitation of tortoises Testudo graeca Linnaeus, 1758 and Testudo hermanni Gmelin, 1789 in Eastern Europe by using species distribution models (SDMs). We used bioclimatic variables from the CliMond dataset (18 uncorrelated variables of 35) and 19 Paleoclim variables of the “early-Holocene” and “mid-Holocene”. Packages Maxent and 'ntbox' were employed. In addition to our data, we used findings listed in the GBIF databases: 1,935 points for T. graeca and 991 points for T. hermanni. It has been shown that subspecies of tortoises differ in the characteristics of the ecological niche. In addition to direct anthropogenic influences, the limiting factor is the “Mean temperature of coldest quarter” (bio11) for both species. Moreover, T. graeca is less demanding and can tolerate both frost and higher temperatures during drier periods than T. hermanni. Modeling found that in the future it is possible for these species will expand in a north-eastern direction, where potentially suitable habitats will appear: by 2090 in the South of Ukraine (Odessa region, Crimea) and East Ukraine (floodplain of the Siversky Donets River of the Don basin).

This paper evaluates the impact of multi-5G small cell systems on the energy efficiency (EE) in a Fifth Generation (5G) of cellular networks. Both the proposed model and the analysis of the EE in this study take into account (i) the path losses, fading, and shadowing that affect the received signal at the user equipment (UE) within the same cell, and (ii) the interference effects of adjacent cells. In addition, the concepts of new technologies such as large MIMO in millimeter range communication have also been considered. The simulation results show that the interference from adjacent cells can degrade the EE of a multi-cell cellular network. With the high interference the number of bits that will be transferred per joule of energy is 1.29 Mb/J with a 0.25 GHz bandwidth and 16 transmit antennas. While, with a 1 GHz bandwidth the transfer rate increases to 5.17 Mb/J. Whereas, with 64 transmit antennas the EE improved to 5.17 Mb/J with a 0.25 GHz BW and 20.70 Mb/J with a 1 GHz BW. These results provide insight into the impact of the number of antennas in millimeter range communication and the interference from adjacent cells on achieving real gains in the EE of multi-5G small cells cellular network.