Energy Loss of Gluons, Baryons and k-Quarks in an N=4 SYM Plasma

We consider different types of external color sources that move through a strongly-coupled thermal N=4 super-Yang-Mills plasma, and calculate, via the AdS/CFT correspondence, the dissipative force (or equivalently, the rate of energy loss) they experience. A bound state of k quarks in the totally antisymmetric representation is found to feel a force with a nontrivial k-dependence. Our result for k=1 (or k=N-1) agrees at large N with the one obtained recently by Herzog et al. and Gubser, but contains in addition an infinite series of 1/N corrections. The baryon (k=N) is seen to experience no drag. Finally, a heavy gluon is found to be subject to a force which at large N is twice as large as the one experienced by a heavy quark, in accordance with gauge theory expectations.Comment: Latex 2e, 24 pages, 1 eps figure; v2: slightly amplified discussion on the relation between the drag force and the tension of a spatial Wilson loop; v3: minor changes, version to appear in JHE

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time, and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space. While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes, vast areas of the tropics remain understudied. In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity, but it remains among the least known forests in America and is often underrepresented in biodiversity databases. To worsen this situation, human-induced modifications may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge, it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Comparación de indicadores económicos en producciones agrícolas actuales y alternativas en la ribera del Río Colorado, provincia de La Pampa

La evaluación de actividades productivas en el sector agrícola es compleja. Los resultados dependen de la combinación de factores climáticos, de mercado, agroecológicos y socioproductivos, entre otros. Analizar los resultados ex post permite aprender y comprender la dinámica de los negocios para mejorar la toma de decisiones futura. La zona bajo riego de la provincia de La Pampa (Río Colorado) presenta una serie de actividades agrícolas tradicionales y alternativas, anuales y plurianuales que deben ser evaluadas económicamente para una mejor interpretación de su desempeño. El presente trabajo analizó los resultados económicos de 18 producciones agrícolas, actuales y alternativas, de la ribera del Río Colorado de la provincia de La Pampa para el año 2017. Para esto se utilizaron dos metodologías de análisis, el margen bruto y el margen de contribución, identificando y comparando los cultivos con mejor y peor desempeño en el año bajo estudio. Los resultados obtenidos son disímiles y en algunos casos contradictorios. El costeo variable pareciera tener ventajas interpretativas sobre el margen bruto, con igual esfuerzo (o simpleza) en la obtención de los indicadores. Para analizar el desempeño económico de actividades agrícolas es necesario contar con herramientas e indicadores que mejoren y complementen la interpretación de lo acontecido

Ocorrência de Passalora bougainvilleae (Muntañola) Castañeda & Braun associado à Bougainvillea spectabilis Willd. em Boa Vista, Roraima Repot of Passalora bougainvilleae (Muntañola) Castañeda & Braun associated with Bougainvillea spectablis Willd. in Boa Vista, Roraima

O fungo Passalora bougainvilleae é relatado, pela primeira vez, na região de Boa Vista, Roraima, associado a manchas foliares na planta ornamental Bougainvillea spectabilis. As características do fungo são conidióforos agregados em fascículos, emergindo de um estroma subcuticular na face abaxial de lesões velhas. Os conidióforos são lisos, retos, de coloração marrom, não ramificados, maioria asseptados, medindo de 26-57µm x 4µm. Células conidiogênicas terminais de proliferação simpodial com cicatrizes escuras e pouco espessas. Os conídios são solitários, marrom claro, obclavados, retos a ligeiramente curvos, medindo de 32-70 µm x 4-5 µm, maioria com 3 septos, apresentando um hilo truncado e ápice obtuso.<br>The fungi Passalora bougainvilleae is reported, for the first time, Boa Vista, Roraima state, causing leaf spots on ornamental specie Bougainvillea spectabilis. The fungi characteristics are conidiophores hypophyllous in fascicles arising from the upper cells of a stroma subcuticular at old spots. The conidiphores are smooth, straight, pale brown, non-branched, mostly aseptate, 26-57µm x 4µm. Conidiogenous cells terminal, sympodial with black and thin scars. Conidia solitary, pale brown, obclavate, straight to slightly flexuous, 32-70 µm x 4-5 µm, 3 septate, rounded at apex, truncate at base, with a conspicuous hilum