Assessment of Climate Change in Italy by Variants of Ordered Correspondence Analysis

This paper explores climate changes in Italy over the last 30 years. The data come from the European observation gridded dataset and are concerned with the temperature throughout the country. We focus our attention on two Italian regions (Lombardy in northern Italy and Campania in southern Italy) and on two particular years roughly thirty years apart (1986 and 2015). Our primary aim is to assess the most important changes in temperature in Italy using some variants of correspondence analysis for ordered categorical variables. Such variants are based on a decomposition method using orthogonal polynomials instead of singular vectors and allow one to easily classify the meteorological station observations. A simulation study, based on bootstrap sampling, is undertaken to demonstrate the reliability of the results

The Land-Potential Knowledge System (LandPKS): mobile apps and collaboration for optimizing climate change investments

Massive investments in climate change mitigation and adaptation are projected during coming decades. Many of these investments will seek to modify how land is managed. The return on both types of investments can be increased through an understanding of land potential: the potential of the land to support primary production and ecosystem services, and its resilience. A Land-Potential Knowledge System (LandPKS) is being developed and implemented to provide individual users with point-based estimates of land potential based on the integration of simple, geo-tagged user inputs with cloud-based information and knowledge. This system will rely on mobile phones for knowledge and information exchange, and use cloud computing to integrate, interpret, and access relevant knowledge and information, including local knowledge about land with similar potential. The system will initially provide management options based on long-term land potential, which depends on climate, topography, and relatively static soil properties, such as soil texture, depth, and mineralogy. Future modules will provide more specific management information based on the status of relatively dynamic soil properties such as organic matter and nutrient content, and of weather. The paper includes a discussion of how this system can be used to help distinguish between meteorological and edaphic drought

Under positive pressure: how stakeholder pressure affects corporate social responsibility implementation

This study tests a model that links stakeholder pressure to the implementation of corporate social responsibility (CSR) activities and market performance. Stakeholder groups and competitors might exert pressure on companies to implement CSR, which could lead to positive effects on market performance. Using structural equation modeling (SEM), the authors find that stakeholders and competitors exert pressure differently. The effect of CSR implementation on market performance is moderated by market dynamism: It affects market performance more in dynamic environments. The authors discuss implications for both companies and stakeholders

Microautophagy of the Nucleus Coincides with a Vacuolar Diffusion Barrier at Nuclear–Vacuolar Junctions

Nuclear-vacuolar (NV) junctions are organelle contact sites in yeast. They exclude nuclear pores from the organelle interface. On the vacuolar side, a lipid-dependent process excludes specific membrane proteins, such as V-ATPase, from the contact site. This suggests that NV junctions establish selective diffusion barriers

Application of a Colorimetric Assay to Identify Putative Ribofuranosylaminobenzene 5'-Phosphate Synthase Genes Expressed with Activity in Escherichia coli

Tetrahydromethanopterin (H(4)MPT) is a tetrahydrofolate analog originally discovered in methanogenic archaea, but later found in other archaea and bacteria. The extent to which H(4)MPT occurs among living organisms is unknown. The key enzyme which distinguishes the biosynthetic pathways of H(4)MPT and tetrahydrofolate is ribofuranosylaminobenzene 5'-phosphate synthase (RFAP synthase). Given the importance of RFAP synthase in H(4)MPT biosynthesis, the identification of putative RFAP synthase genes and measurement of RFAP synthase activity would provide an indication of the presence of H(4)MPT in untested microorganisms. Investigation of putative archaeal RFAP synthase genes has been hampered by the tendency of the resulting proteins to form inactive inclusion bodies in Escherichia coli. The current work describes a colorimetric assay for measuring RFAP synthase activity, and two modified procedures for expressing recombinant RFAP synthase genes to produce soluble, active enzyme. By lowering the incubation temperature during expression, RFAP synthase from Archaeoglobus fulgidus was produced in E. coli and purified to homogeneity. The production of active RFAP synthase from Methanothermobacter thermautotrophicus was achieved by coexpression of the gene MTH0830 with a molecular chaperone. This is the first direct biochemical identification of a methanogen gene that codes for an active RFAP synthase

Stress-induced c-Fos expression is differentially modulated by dexamethasone, diazepam and imipramine

Immobilization stress upregulates c-Fos expression in several CNS areas. Repeated stress or the use of drugs can modulate stress-induced c-Fos expression. Here, we investigated in 40 different areas of the rat brain the effects of dexamethasone (SDX, a synthetic glucocorticoid), diazepam (SBDZ, a benzodiazepine), and imipramine (IMI, an antidepressant) on the c-Fos expression induced by restraint stress. Wistar rats were divided into four groups and submitted to 20 days of daily injection of saline (three first groups) or imipramine, 15 mg/kg, i.p. On day 21, animals were submitted to injections of saline (somatosensory, SS), SDX (1 mg/kg, i.p.), SBDZ (5 mg/kg, i.p.), or IMI (15 mg/kg, i.p.) before being submitted to restraint. Immediately after stress, the animals were perfused and their brains processed with immunohistochemistry for c-Fos (Ab-5 Oncogene Science). Dexamethasone reduced stress- induced c-Fos expression in SS cortex, hippocampus, paraventricular nucleus of the hypothalamus (PVH), and locus coeruleus (LC), whereas diazepam reduced c-Fos staining in the SS cortex, hippocampus, bed nucleus of stria terminalis, septal area, and hypothalamus (preoptic area and supramammillary nucleus). Chronic administration of imipramine decreased staining in the hippocampus, PVH, and LC, while increasing it in the nucleus raphe pallidus. We conclude that dexamethasone, diazepam and imipramine differentially modulate stress-induced Fos expression. the present study provides an important comparative background that may help in the further understanding of the effects of these compounds and on the brain activation as well as on the behavioral, neuroendocrine, and autonomic responses to stress.UFRRJ, Dept Physiol Sci, BR-23890000 Rio de Janeiro, BrazilUniversidade Federal de São Paulo, Dept Physiol, São Paulo, BrazilUniversidade Federal de São Paulo, Dept Psychobiol, São Paulo, BrazilUniversidade Federal de São Paulo, Dept Physiol, São Paulo, BrazilUniversidade Federal de São Paulo, Dept Psychobiol, São Paulo, BrazilWeb of Scienc

Fulfilling global marine commitments; lessons learned from Gabon

As part of the Post-2020 Biodiversity Framework, nations are assessing progress over the past decade in addressing the underlying drivers that influence direct pressures on biodiversity and formulating new policies and strategies for the decade to come. For marine conservation, global marine protected area (MPA) coverage is still falling short of the 10% target set in 2010. Here we show that while this reflects a lack of progress in many low- and middle-income countries, a few of these nations have met or exceeded international commitments. To provide an in-depth explanation of how this was achieved in Gabon, we summarize the lessons learnt by our consortium of policy makers and practitioners who helped implement a comprehensive and ecologically representative network of 20 MPAs. We show the importance of creating a national framework, building long-term stakeholder support, and focusing on research that guides implementation and policy; and outline a four-step approach that countries and donors could use as an example to help meet international commitments. By responding to calls to share lessons learned to inform future Convention on Biological Diversity targets, we show how Gabon's experiences could inform change elsewhere.Output Status: Forthcoming/Available Online Additional co-authors: Tim Collins, Philip D. Doherty, Angela Formia, Mark Gately, Micheline Schummer Gnandji, Innocent Ikoubou, Judicael Régis Kema Kema, Koumba Kombila, Pavlick Etoughe Kongo, Jean Churley Manfoumbi, Sara M. Maxwell, Georges H. Mba Asseko, Catherine M. McClellan, Gianna Minton, Samyra Orianne Ndjimbou, Guylène Nkoane Ndoutoume, Jean Noel Bibang Bi Nguema, Teddy Nkizogho, Jacob Nzegoue, Carmen Karen Kouerey Oliwina, Franck Mbeme Otsagha, Diane Savarit, Stephen K. Pikesley, Philippe du Plessis, Hugo Rainey, Lucienne Ariane Diapoma Kingbell Rockombeny, Howard C. Rosenbaum, Dan Segan, Guy-Philippe Sounguet, Emma J. Stokes, Dominic Tilley, Raul Vilela, Wynand Viljoen, Sam B. Weber, Matthew J. Witt, Brendan J. Godle

Manipulating the alpha level cannot cure significance testing

We argue that making accept/reject decisions on scientific hypotheses, including a recent call for changing the canonical alpha level from p = 0.05 to p = 0.005, is deleterious for the finding of new discoveries and the progress of science. Given that blanket and variable alpha levels both are problematic, it is sensible to dispense with significance testing altogether. There are alternatives that address study design and sample size much more directly than significance testing does; but none of the statistical tools should be taken as the new magic method giving clear-cut mechanical answers. Inference should not be based on single studies at all, but on cumulative evidence from multiple independent studies. When evaluating the strength of the evidence, we should consider, for example, auxiliary assumptions, the strength of the experimental design, and implications for applications. To boil all this down to a binary decision based on a p-value threshold of 0.05, 0.01, 0.005, or anything else, is not acceptable