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Some aquatic ecosystems in rivers depend on the river water, so it needs to be maintained by measuring and analyzing the river water quality. STORET is one of the methods used to measure the river water quality, but it takes a quite high of time and costs. Fuzzy Tsukamoto is an alternative method that works by grouping the river water data, but it is difficult to determine the membership function value. The solution offered in this study is the use of genetic algorithm to determine the membership function value of each criterion. Based on the test results, the optimization of fuzzy membership function using genetic algorithm provides higher accuracy value that is 95%, while the accuracy value without optimization process is 90%. The parameters used in genetic algorithm are as follows: population size is 80, generation number is 175, crossover rate (<em>cr</em>) is 0.6, and mutation rate (<em>mr</em>) is 0.4.

The MUSES project is a 2 year Horizon 2020 funded project under Grant Agreement No. 727451. The MUSES project builds on existing knowledge to explore the real opportunities for Multi-Use (“MU”) in Europe, including the scope for innovation and Blue Growth potential and to present practical solutions on how to overcome existing barriers and minimise risks associated with MU development. The MUSES project encompasses five EU sea basins (Baltic Sea, North Sea, Mediterranean Sea, Black Sea and Eastern Atlantic). The purpose of this document is to provide a half term summary of the work undertaken for the Multi-Use in European Seas (“MUSES”) Project during the first year (1st November 2016 – 31st October 2017).

Open forests are among the world’s most species-rich ecosystems but these are now suffering from strong environmental pressure. With the increasing frequency of drought events accompanying climate change, open forests are now at high risk of canopy openness, an associated increase in nutrient load, and a consequent reordering of the plant community. Based on an 11-year field manipulative experiment, we examined whether the reintroduction of traditional forest uses, in particular the regular removal of litter which has been practiced for many centuries in Europe, may mitigate eutrophication and protect the ancient plant diversity of open forests. We examined vascular plant composition in 64, 3 × 3 m plots in 32 randomized blocks, each consisted of one litter-removal and one control plot in a subcontinental thermophilous oak forest dominated by Quercus petraea (Czech Republic, Central Europe). We analyzed how regular litter removal influenced the changes in topsoil nutrients and diversity and abundances of perennial, short-lived monocarpic and open oak forest plant species after eleven years of the annual application of this management. The regular litter removal significantly mitigated eutrophication by a reducing total nitrogen, and significantly decreased the amounts of base cations Ca2+ and Mg2+ in the topsoil. The studied plant species groups responded differently. Perennial and open oak forest species significantly increased their richness and abundances in the litter-removal plots and at the same time their diversity did not change significantly depending on inter-annual weather conditions. In contrast, litter removal negatively affected abundances of short-lived monocarpic species, whose richness was also considerably influenced by weather conditions (decreased the most in years with spring droughts). Moreover, we have found a protective effect of regular litter removal on drought-sensitive open oak forest species that survived in the litter-removal plots, whereas some completely disappeared from control sites during the period of repeated drought events. Our study thus demonstrates that litter removal is a tool with high potential in maintaining biodiversity in open forests affected by climate change.

{"references": ["Antonio Abelem, Michael Stanton, Iara Machado, Marcos Salvador, Luiz Magalhaes, Natalia Fernandes, Sand Correa, Kleber Cardoso, Cesar Marcondes, Joberto Martins, Jose Monteiro, Tereza Carvalho, and Jos\u00e9 Rezende. FIT@ BR - A Future Internet Testbed in Brazil. In Proceedings of the APAN \u2013 Network Research Workshop, pages 1\u20138, 2013.", "Aloizio P. Silva, Christos Tranoris, Spyros Denazis, Susana Sargento, Jo\u00e3o Pereira, Miguel Lu\u00eds, Rodrigo Moreira, Fl\u00e1vio Silva, Ivan Vidal, Borja Nogales, Reza Nejabati, and Dimitra Simeonidou. 5GInfire: An End-to-End Open5G Vertical Network Function Ecosystem. Ad Hoc Networks, 93:101895, October 2019.", "Cristiano Both, Rafael Guimaraes, Frank Slyne, Juliano Wickboldt, Magnos Martinello, Cristina Dominicini, Rafael Martins, Yi Zhang, Diego Cardoso, Rodolfo Villaca, Isabella Ceravolo, Reza Nejabati, Johann Marquez-Barja, Marco Ruffini, and Luiz DaSilva. FUTEBOL Control Framework: Enabling Experimentation in Convergent Optical, Wireless, and Cloud Infrastructures. IEEE Communications Magazine, 57(10):56\u201362, October 2019.", "Stuart Clayman, Augusto Neto, F\u00e1bio Verdi, Sand Correa, Silvio Sampaio, Ilias Sakelariou, Lefteris Mamatas, Rafael Pasquini, Kleber Cardoso, Francesco Tusa, Christian Rothenberg, and Joan Serrat. The NECOS Approach to End-to-End Cloud-Network Slicing as a Service. IEEE Communications Magazine, 59(3):91\u201397, March 2021. Conference Name: IEEE Communications Magazine.", "Gustavo Neves Dias, Jos\u00e9 Ferreira Rezende, Leandro Neumann Ciuffo, Iara Machado, Flavio de Oliveira Silva, Tereza Cristina de Brito, Fernando Frota Redigolo, Joberto S. B. Martins, Leobino N. Sampaio, and Antonio Jorge Gomes Abelem. SFI2 - Slicing Future Internet Infrastructures project. In Proceedings of the The Global Experimentation for Future Internet (GEFI), pages 1\u20133, Coimbra, Portugal, November 2019.", "Fl\u00e1vio de Oliveira Silva, Tereza Cristina Carvalho, Joberto S. B. Martins, Cristiano Bonato Both, and Daniel Fernandes Macedo. Slicing Future Internet Infrastructures Round Table. Technical Report TR01/2021, Universidade de S\u00e3o Paulo (USP), S\u00e3o Paulo, Brazil, 2021."]} The future Internet and computer networks scenario requires a dynamic, on-demand, easily manageable, intelligent, and flexible network capable of supporting the different requirements of current and future applications. For attaining this objective, the research community is turning to the networks of the future involving initiatives such as the Next Generation Internet (NGI) in Europe and Tomorrow’s Internet Project in the United States, in addition to several other actions such as the next generation of mobile telecommunications networks for 2030, 6G. In Brazil, projects such as FIBRE [1], FIWARE [2], FUTEBOL [3], 5GINFIRE[2], NECOS [4], CloudNEXT, and SFI2 [5] [6], carried out in collaborations between Europe and Brazil, create conditions to experiment with different scenarios of networks and applications with a focus on the future. This SFI2 Workshop aims to discuss, exchange research ideas and propose directions and solutions toward the utilization of network slicing (NS) as a new paradigm capable to support future Internet evolution. SFI2 will focus on experimental network integration as a guidance direction for these discussions and proposals.

Energy and environmental stability are positively correlated with species richness along broad-scale spatial gradients in terrestrial ecosystems, so their relative importance in generating and preserving diversity cannot be readily disentangled. This study seeks to exploit the negative correlation between energy and stability along the oceanic depth gradient to better understand their relative contribution in shaping broadscale biodiversity patterns. We develop a conceptual framework by simulating speciation and extinction along energy and stability gradients to generate expected patterns of biodiversity for a suite of complementary phylogenetic diversity metrics. Using a time-calibrated molecular phylogeny for New Zealand marine ray-finned fishes and a replicated community ecological sampling design, we then modelled these metrics along large-scale depth and latitude gradients. Our results indicate that energy-rich shallow waters may be an engine of diversity for percomorphs, but also suggest that recent speciation occurs in ancient fish lineages in the deep sea, hence questioning the role of energy as a key driver of speciation. Despite potentially facing high extinction early in their evolution, ancient phylogenetic lineages specialized for the deep-sea were likely preserved by environmental stability during the Cenozoic. Furthermore, intermediate depths might be a “museum” (or zone of overlap) for distinct lineages that occur predominantly in either shallow or deep-sea waters. These intermediate depths (500-900m) may form a “phylogenetic diversity bank”, perhaps providing a refuge during ancient (Mesozoic) extreme anoxic events affecting the deep sea and more recent (Pliocene-Pleistocene) climatic events occurring in shallow ecosystems. Finally, the phylogenetic structures observed in fish communities at intermediate depths suggest other processes might restrict the co-occurrence of closely related species. Overall, by combining a conceptual framework with models of empirical phylogenetic diversity patterns, our study paves the way for understanding the determinants of biodiversity across the largest habitat on earth.

Special theme discussed in BPPT-OEI 2016 is “Energy Development in Supporting Green Industry”. This theme is taken in regard to the Law No 3 Year 2014 on Industry, which mandates the government to develop green industry. Green industry prioritizes efficiency and effectiveness of resource usage in a sustainable manner in the production process as to harmonize industrial development with the environmental preservation that can provide benefits to the community. Discussion on the green industry is focused on the potential use of new and renewable energy in selected industries that have not maximally considered in the industrial sector and also its contribution to the energy mix, as well as mitigation of greenhouse gases.

Wildlife diseases, such as the sea star wasting (SSW) epizootic that outbroke in the mid-2010s, appear to be associated with acute and/or chronic abiotic environmental change; dissociating the effects of different drivers can be difficult. The sunflower sea star, Pycnopodia helianthoides, was the species most severely impacted during the SSW outbreak, which overlapped with periods of anomalous atmospheric and oceanographic conditions, and there is not yet a consensus on the cause(s). Genomic data may reveal underlying molecular signatures that implicate a subset of factors and, thus, clarify past events while also setting the scene for effective restoration efforts. To advance this goal, we used Pacific Biosciences HiFi long sequencing reads and Dovetail Omni-C proximity reads to generate a highly contiguous genome assembly that was then annotated using RNA-seq-informed gene prediction. The genome assembly is 484 Mb long, with contig N50 of 1.9 Mb, scaffold N50 of 21.8 Mb, BUSCO completeness score 96.1%, and 22 major scaffolds consistent with prior evidence that sea star genomes comprise 22 autosomes. These statistics generally fall between those of other recently assembled chromosome-scale assemblies for two species in the distantly related asteroid genus Pisaster. These novel genomic resources for Pycnopodia helianthoides will underwrite population genomic, comparative genomic, and phylogenomic analyses — as well as their integration across scales — of SSW and environmental stressors. This data resource contains the files associated with gene prediction. # Gene prediction for: A reference genome for ecological restoration of the sunflower sea star, Pycnopodia helianthoides [https://doi.org/10.5061/dryad.51c59zwfd](https://doi.org/10.5061/dryad.51c59zwfd) The files contained here represent the results of gene prediction for the sunflower star, *Pycnopodia helianthoides*. ## Description of the data files * interproscan.tsv.gz : table with function assignment to transcript IDs * interproscan.gff3 : functional annotation in gff3 format, annotations for all the predicted coding genes in the genome based on the protein translation * augustus.hints.codingseq : nucleotide sequences for all the predicted genes, gene set delivered by bioinformatics@greifswald as coding sequences in fasta format; this file can be used for transcriptome quantification * augustus.hints.aa : protein sequences for all the predicted genes, gene set delivered by bioinformatics@greifswald as protein sequences in fasta format * augustus.hints.gtf : coordinates for all genomic features, gene set delivered by bioinformatics@greifswald in gtf format ## Authors Lars Gabriel, Katharina J. Hoff