ALBERT

Description: Using data collected at the Pierre Auger Observatory during the past 3.7 years, we demonstrated a correlation between the arrival directions of cosmic rays with energy above 6 x 10(19) electron volts and the positions of active galactic nuclei (AGN) lying within approximately 75 megaparsecs. We rejected the hypothesis of an isotropic distribution of these cosmic rays with at least a 99% confidence level from a prescribed a priori test. The correlation we observed is compatible with the hypothesis that the highest-energy particles originate from nearby extragalactic sources whose flux has not been substantially reduced by interaction with the cosmic background radiation. AGN or objects having a similar spatial distribution are possible sources.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Pierre Auger Collaboration -- Abraham, J -- Abreu, P -- Aglietta, M -- Aguirre, C -- Allard, D -- Allekotte, I -- Allen, J -- Allison, P -- Alvarez, C -- Alvarez-Muniz, J -- Ambrosio, M -- Anchordoqui, L -- Andringa, S -- Anzalone, A -- Aramo, C -- Argiro, S -- Arisaka, K -- Armengaud, E -- Arneodo, F -- Arqueros, F -- Asch, T -- Asorey, H -- Assis, P -- Atulugama, B S -- Aublin, J -- Ave, M -- Avila, G -- Backer, T -- Badagnani, D -- Barbosa, A F -- Barnhill, D -- Barroso, S L C -- Bauleo, P -- Beatty, J -- Beau, T -- Becker, B R -- Becker, K H -- Bellido, J A -- Benzvi, S -- Berat, C -- Bergmann, T -- Bernardini, P -- Bertou, X -- Biermann, P L -- Billoir, P -- Blanch-Bigas, O -- Blanco, F -- Blasi, P -- Bleve, C -- Blumer, H -- Bohacova, M -- Bonifazi, C -- Bonino, R -- Boratav, M -- Brack, J -- Brogueira, P -- Brown, W C -- Buchholz, P -- Bueno, A -- Busca, N G -- Caballero-Mora, K S -- Cai, B -- Camin, D V -- Caruso, R -- Carvalho, W -- Castellina, A -- Catalano, O -- Cataldi, G -- Cazon-Boado, L -- Cester, R -- Chauvin, J -- Chiavassa, A -- Chinellato, J A -- Chou, A -- Chye, J -- Clark, P D J -- Clay, R W -- Colombo, E -- Conceicao, R -- Connolly, B -- Contreras, F -- Coppens, J -- Cordier, A -- Cotti, U -- Coutu, S -- Covault, C E -- Creusot, A -- Cronin, J -- Dagoret-Campagne, S -- Daumiller, K -- Dawson, B R -- de Almeida, R M -- De Donato, C -- de Jong, S J -- De La Vega, G -- de Mello Junior, W J M -- de Mello Neto, J R T -- De Mitri, I -- de Souza, V -- Del Peral, L -- Deligny, O -- Selva, A Della -- Fratte, C Delle -- Dembinski, H -- Di Giulio, C -- Diaz, J C -- Dobrigkeit, C -- D'Olivo, J C -- Dornic, D -- Dorofeev, A -- Dos Anjos, J C -- Dova, M T -- D'Urso, D -- Duvernois, M A -- Engel, R -- Epele, L -- Erdmann, M -- Escobar, C O -- Etchegoyen, A -- Facal San Luis, P -- Falcke, H -- Farrar, G -- Fauth, A C -- Fazzini, N -- Fernandez, A -- Ferrer, F -- Ferry, S -- Fick, B -- Filevich, A -- Filipcic, A -- Fleck, I -- Fonte, R -- Fracchiolla, C E -- Fulgione, W -- Garcia, B -- Garcia Gamez, D -- Garcia-Pinto, D -- Garrido, X -- Geenen, H -- Gelmini, G -- Gemmeke, H -- Ghia, P L -- Giller, M -- Glass, H -- Gold, M S -- Golup, G -- Albarracin, F Gomez -- Berisso, M Gomez -- Herrero, R Gomez -- Goncalves, P -- Goncalves do Amaral, M -- Gonzalez, D -- Gonzalez, J G -- Gonzalez, M -- Gora, D -- Gorgi, A -- Gouffon, P -- Grassi, V -- Grillo, A -- Grunfeld, C -- Guardincerri, Y -- Guarino, F -- Guedes, G P -- Gutierrez, J -- Hague, J D -- Hamilton, J C -- Hansen, P -- Harari, D -- Harmsma, S -- Harton, J L -- Haungs, A -- Hauschildt, T -- Healy, M D -- Hebbeker, T -- Heck, D -- Hojvat, C -- Holmes, V C -- Homola, P -- Horandel, J -- Horneffer, A -- Horvat, M -- Hrabovsky, M -- Huege, T -- Iarlori, M -- Insolia, A -- Ionita, F -- Italiano, A -- Kaducak, M -- Kampert, K H -- Keilhauer, B -- Kemp, E -- Kieckhafer, R M -- Klages, H O -- Kleifges, M -- Kleinfeller, J -- Knapik, R -- Knapp, J -- Koang, D-H -- Kopmann, A -- Krieger, A -- Kromer, O -- Kumpel, D -- Kunka, N -- Kusenko, A -- La Rosa, G -- Lachaud, C -- Lago, B L -- Lebrun, D -- Lebrun, P -- Lee, J -- Leigui de Oliveira, M A -- Letessier-Selvon, A -- Leuthold, M -- Lhenry-Yvon, I -- Lopez, R -- Lopez Aguera, A -- Lozano Bahilo, J -- Maccarone, M C -- Macolino, C -- Maldera, S -- Malek, M -- Mancarella, G -- Mancenido, M E -- Mandat, D -- Mantsch, P -- Mariazzi, A G -- Maris, I C -- Martello, D -- Martinez, J -- Martinez Bravo, O -- Mathes, H J -- Matthews, J -- Matthews, J A J -- Matthiae, G -- Maurizio, D -- Mazur, P O -- McCauley, T -- McEwen, M -- McNeil, R R -- Medina, M C -- Medina-Tanco, G -- Meli, A -- Melo, D -- Menichetti, E -- Menschikov, A -- Meurer, Chr -- Meyhandan, R -- Micheletti, M I -- Miele, G -- Miller, W -- Mollerach, S -- Monasor, M -- Monnier Ragaigne, D -- Montanet, F -- Morales, B -- Morello, C -- Moreno, E -- Moreno, J C -- Morris, C -- Mostafa, M -- Muller, M A -- Mussa, R -- Navarra, G -- Navarro, J L -- Navas, S -- Nellen, L -- Newman-Holmes, C -- Newton, D -- Thi, T Nguyen -- Nierstenhofer, N -- Nitz, D -- Nosek, D -- Nozka, L -- Oehlschlager, J -- Ohnuki, T -- Olinto, A -- Olmos-Gilbaja, V M -- Ortiz, M -- Ostapchenko, S -- Otero, L -- Pakk Selmi-Dei, D -- Palatka, M -- Pallotta, J -- Parente, G -- Parizot, E -- Parlati, S -- Pastor, S -- Patel, M -- Paul, T -- Pavlidou, V -- Payet, K -- Pech, M -- Pekala, J -- Pelayo, R -- Pepe, I M -- Perrone, L -- Petrera, S -- Petrinca, P -- Petrov, Y -- Ngoc, Dieppham -- Ngoc, Dongpham -- Pham Thi, T N -- Pichel, A -- Piegaia, R -- Pierog, T -- Pimenta, M -- Pinto, T -- Pirronello, V -- Pisanti, O -- Platino, M -- Pochon, J -- Porter, T A -- Privitera, P -- Prouza, M -- Quel, E J -- Rautenberg, J -- Reucroft, S -- Revenu, B -- Rezende, F A S -- Ridky, J -- Riggi, S -- Risse, M -- Riviere, C -- Rizi, V -- Roberts, M -- Robledo, C -- Rodriguez, G -- Rodriguez Frias, D -- Rodriguez Martino, J -- Rodriguez Rojo, J -- Rodriguez-Cabo, I -- Ros, G -- Rosado, J -- Roth, M -- Rouille-d'Orfeuil, B -- Roulet, E -- Rovero, A C -- Salamida, F -- Salazar, H -- Salina, G -- Sanchez, F -- Santander, M -- Santo, C E -- Santos, E M -- Sarazin, F -- Sarkar, S -- Sato, R -- Scherini, V -- Schieler, H -- Schmidt, F -- Schmidt, T -- Scholten, O -- Schovanek, P -- Schussler, F -- Sciutto, S J -- Scuderi, M -- Segreto, A -- Semikoz, D -- Settimo, M -- Shellard, R C -- Sidelnik, I -- Siffert, B B -- Sigl, G -- De Grande, N Smetniansky -- Smialkowski, A -- Smida, R -- Smith, A G K -- Smith, B E -- Snow, G R -- Sokolsky, P -- Sommers, P -- Sorokin, J -- Spinka, H -- Squartini, R -- Strazzeri, E -- Stutz, A -- Suarez, F -- Suomijarvi, T -- Supanitsky, A D -- Sutherland, M S -- Swain, J -- Szadkowski, Z -- Takahashi, J -- Tamashiro, A -- Tamburro, A -- Tascau, O -- Tcaciuc, R -- Thomas, D -- Ticona, R -- Tiffenberg, J -- Timmermans, C -- Tkaczyk, W -- Todero Peixoto, C J -- Tome, B -- Tonachini, A -- Torresi, D -- Travnicek, P -- Tripathi, A -- Tristram, G -- Tscherniakhovski, D -- Tueros, M -- Tunnicliffe, V -- Ulrich, R -- Unger, M -- Urban, M -- Valdes Galicia, J F -- Valino, I -- Valore, L -- van den Berg, A M -- van Elewyck, V -- Vazquez, R A -- Veberic, D -- Veiga, A -- Velarde, A -- Venters, T -- Verzi, V -- Videla, M -- Villasenor, L -- Vorobiov, S -- Voyvodic, L -- Wahlberg, H -- Wainberg, O -- Waldenmaier, T -- Walker, P -- Warner, D -- Watson, A A -- Westerhoff, S -- Wieczorek, G -- Wiencke, L -- Wilczynska, B -- Wilczynski, H -- Wileman, C -- Winnick, M G -- Wu, H -- Wundheiler, B -- Xu, J -- Yamamoto, T -- Younk, P -- Zas, E -- Zavrtanik, D -- Zavrtanik, M -- Zech, A -- Zepeda, A -- Ziolkowski, M -- Kegl, B -- New York, N.Y. -- Science. 2007 Nov 9;318(5852):938-43.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17991855" target="_blank"〉PubMed〈/a〉

Description: Rapid cycling of reactive nitrogen in the marine boundary layer Nature 532, 7600 (2016). doi:10.1038/nature17195 Authors: Chunxiang Ye, Xianliang Zhou, Dennis Pu, Jochen Stutz, James Festa, Max Spolaor, Catalina Tsai, Christopher Cantrell, Roy L. Mauldin, Teresa Campos, Andrew Weinheimer, Rebecca S. Hornbrook, Eric C. Apel, Alex Guenther, Lisa Kaser, Bin Yuan, Thomas Karl, Julie Haggerty, Samuel Hall, Kirk Ullmann, James N. Smith, John Ortega & Christoph Knote Nitrogen oxides are essential for the formation of secondary atmospheric aerosols and of atmospheric oxidants such as ozone and the hydroxyl radical, which controls the self-cleansing capacity of the atmosphere. Nitric acid, a major oxidation product of nitrogen oxides, has traditionally been considered to be a permanent sink of nitrogen oxides. However, model studies predict higher ratios of nitric acid to nitrogen oxides in the troposphere than are observed. A ‘renoxification’ process that recycles nitric acid into nitrogen oxides has been proposed to reconcile observations with model studies, but the mechanisms responsible for this process remain uncertain. Here we present data from an aircraft measurement campaign over the North Atlantic Ocean and find evidence for rapid recycling of nitric acid to nitrous acid and nitrogen oxides in the clean marine boundary layer via particulate nitrate photolysis. Laboratory experiments further demonstrate the photolysis of particulate nitrate collected on filters at a rate more than two orders of magnitude greater than that of gaseous nitric acid, with nitrous acid as the main product. Box model calculations based on the Master Chemical Mechanism suggest that particulate nitrate photolysis mainly sustains the observed levels of nitrous acid and nitrogen oxides at midday under typical marine boundary layer conditions. Given that oceans account for more than 70 per cent of Earth’s surface, we propose that particulate nitrate photolysis could be a substantial tropospheric nitrogen oxide source. Recycling of nitrogen oxides in remote oceanic regions with minimal direct nitrogen oxide emissions could increase the formation of tropospheric oxidants and secondary atmospheric aerosols on a global scale.

Description: Li et al. (Reports, 18 April 2014, p. 292) proposed a unity nitrous acid (HONO) yield for reaction between nitrogen dioxide and the hydroperoxyl-water complex and suggested a substantial overestimation in HONO photolysis contribution to hydroxyl radical budget. Based on airborne observations of all parameters in this chemical system, we have determined an upper-limit HONO yield of 0.03 for the reaction.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ye, Chunxiang -- Zhou, Xianliang -- Pu, Dennis -- Stutz, Jochen -- Festa, James -- Spolaor, Max -- Cantrell, Christopher -- Mauldin, Roy L -- Weinheimer, Andrew -- Haggerty, Julie -- New York, N.Y. -- Science. 2015 Jun 19;348(6241):1326. doi: 10.1126/science.aaa1992.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wadsworth Center, New York State Department of Health, Albany, NY, USA. ; Wadsworth Center, New York State Department of Health, Albany, NY, USA. Department of Environmental Health Sciences, State University of New York, Albany, NY, USA. xianliang.zhou@health.ny.gov. ; Department of Environmental Health Sciences, State University of New York, Albany, NY, USA. ; University of California, Los Angeles, CA, USA. ; University of Colorado, Boulder, CO, USA. ; University of Colorado, Boulder, CO, USA. Department of Physics, University of Helsinki, Helsinki, Finland. ; National Center for Atmosphere Research, Earth System Laboratory, Boulder, CO, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26089507" target="_blank"〉PubMed〈/a〉

Description: Frequency dependence limits divergent evolution by favouring rare immigrants over residents Nature 546, 7657 (2017). doi:10.1038/nature22351 Authors: Daniel I. Bolnick & William E. Stutz Two distinct forms of natural selection promote adaptive biological diversity. Divergent selection occurs when different environments favour different phenotypes, leading to increased differences between populations. Negative frequency-dependent selection occurs when rare variants within a population are favoured over common ones, increasing diversity within populations. These two diversifying forces promote genetic variation at different spatial scales, and may act in opposition, but their relative effects remain unclear because they are rarely measured concurrently. Here we show that negative frequency-dependent selection within populations can favor rare immigrants over locally adapted residents. We reciprocally transplanted lake and stream ecotypes of threespine stickleback into lake and stream habitats, while manipulating the relative abundance of residents versus immigrants. We found negative frequency-dependence: survival was highest for the locally rare ecotype, rather than natives. Also, individuals with locally rare major histocompatibility complex (MHC) class IIb genotypes were infected by fewer parasites. This negative frequency-dependent selection will tend to favour rare immigrants over common residents, amplifying the effect of migration and undermining the efficacy of divergent natural selection to drive population differences. The only signal of divergent selection was a tendency for foreign fish to have higher parasite loads than residents, after controlling for MHC genotype rarity. Frequency-dependent ecological interactions have long been thought to promote speciation. Our results suggest a more nuanced view in which negative frequency dependence alters the fate of migrants to promote or constrain evolutionary divergence between populations.

Description: To better understand the molecular and cellular differences in brain organization between human and nonhuman primates, we performed transcriptome sequencing of 16 regions of adult human, chimpanzee, and macaque brains. Integration with human single-cell transcriptomic data revealed global, regional, and cell-type–specific species expression differences in genes representing distinct functional categories. We validated and further characterized the human specificity of genes enriched in distinct cell types through histological and functional analyses, including rare subpallial-derived interneurons expressing dopamine biosynthesis genes enriched in the human striatum and absent in the nonhuman African ape neocortex. Our integrated analysis of the generated data revealed diverse molecular and cellular features of the phylogenetic reorganization of the human brain across multiple levels, with relevance for brain function and disease.

Description: The Southeast Atmosphere Studies (SAS), which included the Southern Oxidant and Aerosol Study (SOAS); the Southeast Nexus (SENEX) study; and the Nitrogen, Oxidants, Mercury and Aerosols: Distributions, Sources and Sinks (NOMADSS) study, was deployed in the field from 1 June to 15 July 2013 in the central and eastern United States, and it overlapped with and was complemented by the Studies of Emissions, Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) campaign. SAS investigated atmospheric chemistry and the associated air quality and climate-relevant particle properties. Coordinated measurements from six ground sites, four aircraft, tall towers, balloon-borne sondes, existing surface networks, and satellites provide in situ and remotely sensed data on trace-gas composition, aerosol physicochemical properties, and local and synoptic meteorology. Selected SAS findings indicate 1) dramatically reduced NOx concentrations have altered ozone production regimes; 2) indicators of “biogenic” secondary organic aerosol (SOA), once considered part of the natural background, were positively correlated with one or more indicators of anthropogenic pollution; and 3) liquid water dramatically impacted particle scattering while biogenic SOA did not. SAS findings suggest that atmosphere–biosphere interactions modulate ambient pollutant concentrations through complex mechanisms and feedbacks not yet adequately captured in atmospheric models. The SAS dataset, now publicly available, is a powerful constraint to develop predictive capability that enhances model representation of the response and subsequent impacts of changes in atmospheric composition to changes in emissions, chemistry, and meteorology.

Description: To study regional-scale carbon dioxide (CO2) transport, temporal variability, and budget over the Southern California Air Basin (SoCAB) during the California Research at the Nexus of Air Quality and Climate Change (CalNex) 2010 campaign period, a model that couples the Weather Research and Forecasting (WRF) Model with the Vegetation Photosynthesis and Respiration Model (VPRM) has been used. Our numerical simulations use anthropogenic CO2 emissions of the Hestia Project 2010 fossil-fuel CO2 emissions data products along with optimized VPRM parameters at “FLUXNET” sites, for biospheric CO2 fluxes over SoCAB. The simulated meteorological conditions have been validated with ground and aircraft observations, as well as with background CO2 concentrations from the coastal Palos Verdes site. The model captures the temporal pattern of CO2 concentrations at the ground site at the California Institute of Technology in Pasadena, but it overestimates the magnitude in early daytime. Analysis of CO2 by wind directions reveals the overestimate is due to advection from the south and southwest, where downtown Los Angeles is located. The model also captures the vertical profile of CO2 concentrations along with the flight tracks. The optimized VPRM parameters have significantly improved simulated net ecosystem exchange at each vegetation-class site and thus the regional CO2 budget. The total biospheric contribution ranges approximately from −24% to −20% (daytime) of the total anthropogenic CO2 emissions during the study period.

Description: The February–March 2014 deployment of the National Aeronautics and Space Administration (NASA) Airborne Tropical Tropopause Experiment (ATTREX) provided unique in situ measurements in the western Pacific tropical tropopause layer (TTL). Six flights were conducted from Guam with the long-range, high-altitude, unmanned Global Hawk aircraft. The ATTREX Global Hawk payload provided measurements of water vapor, meteorological conditions, cloud properties, tracer and chemical radical concentrations, and radiative fluxes. The campaign was partially coincident with the Convective Transport of Active Species in the Tropics (CONTRAST) and the Coordinated Airborne Studies in the Tropics (CAST) airborne campaigns based in Guam using lower-altitude aircraft (see companion articles in this issue). The ATTREX dataset is being used for investigations of TTL cloud, transport, dynamical, and chemical processes, as well as for evaluation and improvement of global-model representations of TTL processes. The ATTREX data are publicly available online (at https://espoarchive.nasa.gov/).