ALBERT

Beschreibung: Episodes of elevated bromine oxide (BrO) concentration are known to occur at high latitudes in the Arctic boundary layer and to lead to catalytic destruction of ozone at those latitudes; these events have not been observed at lower latitudes. With the use of differential optical absorption spectroscopy (DOAS), locally high BrO concentrations were observed at mid-latitudes at the Dead Sea, Israel, during spring 1997. Mixing ratios peaked daily at around 80 parts per trillion around noon and were correlated with low boundary-layer ozone mixing ratios.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hebestreit -- Stutz -- Rosen -- Matveiv V -- Peleg -- Luria -- Platt -- New York, N.Y. -- Science. 1999 Jan 1;283(5398):55-7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉K. Hebestreit, J. Stutz, U. Platt, Institut fur Umweltphysik, Ruprecht-Karls-Universitat Heidelberg, Im Neuenheimer Feld 366, D-69120 Heidelberg, Germany. D. Rosen, V. Matveiv, M. Peleg, M. Luria, Environmental Science, School of Applie.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/9872738" target="_blank"〉PubMed〈/a〉

Beschreibung: 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〉

Beschreibung: Cold molecular clouds are the birthplaces of stars and planets, where dense cores of gas collapse to form protostars. The dust mixed in these clouds is thought to be made of grains of an average size of 0.1 micrometer. We report the widespread detection of the coreshine effect as a direct sign of the existence of grown, micrometer-sized dust grains. This effect is seen in half of the cores we have analyzed in our survey, spanning all Galactic longitudes, and is dominated by changes in the internal properties and local environment of the cores, implying that the coreshine effect can be used to constrain fundamental core properties such as the three-dimensional density structure and ages and also the grain characteristics themselves.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Pagani, Laurent -- Steinacker, Jurgen -- Bacmann, Aurore -- Stutz, Amelia -- Henning, Thomas -- New York, N.Y. -- Science. 2010 Sep 24;329(5999):1622-4. doi: 10.1126/science.1193211.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratoire d'Etude du Rayonnement et de la Matiere en Astrophysique (LERMA) and UMR 8112 du CNRS, Observatoire de Paris, 61 Avenue de l'Observatoire, 75014 Paris, France. laurent.pagani@obspm.fr〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20929841" target="_blank"〉PubMed〈/a〉

Beschreibung: 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〉

Beschreibung: A new class of synthetic antifungal agents, the allylamines , has been developed by modification of naftifine , a topical antimycotic. SF 86-327, the most effective of these compounds so far, is highly active in vitro against a wide range of fungi and exceeds clinical standards in the oral and topical treatment of guinea pig dermatophytoses. SF 86-327 is a powerful specific inhibitor of fungal squalene epoxidase, a key enzyme in sterol biosynthesis.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Petranyi, G -- Ryder, N S -- Stutz, A -- New York, N.Y. -- Science. 1984 Jun 15;224(4654):1239-41.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/6547247" target="_blank"〉PubMed〈/a〉

Beschreibung: 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.

Beschreibung: Recent successes in passive remote sensing of far-red solar-induced chlorophyll fluorescence (SIF) have spurred the development and integration of canopy-level fluorescence models in global terrestrial biosphere models (TBMs) for climate and carbon cycle research. The interaction of fluorescence with photochemistry at the leaf and canopy scales provides opportunities to diagnose and constrain model simulations of photosynthesis and related processes, through direct comparison to and assimilation of tower, airborne, and satellite data. TBMs describe key processes related to the absorption of sunlight, leaf-level fluorescence emission, scattering, and reabsorption throughout the canopy. Here, we analyze simulations from an ensemble of process-based TBM–SIF models (SiB3 – Simple Biosphere Model, SiB4, CLM4.5 – Community Land Model, CLM5.0, BETHY – Biosphere Energy Transfer Hydrology, ORCHIDEE – Organizing Carbon and Hydrology In Dynamic Ecosystems, and BEPS – Boreal Ecosystems Productivity Simulator) and the SCOPE (Soil Canopy Observation Photosynthesis Energy) canopy radiation and vegetation model at a subalpine evergreen needleleaf forest near Niwot Ridge, Colorado. These models are forced with local meteorology and analyzed against tower-based continuous far-red SIF and gross-primary-productivity-partitioned (GPP) eddy covariance data at diurnal and synoptic scales during the growing season (July–August 2017). Our primary objective is to summarize the site-level state of the art in TBM–SIF modeling over a relatively short time period (summer) when light, canopy structure, and pigments are similar, setting the stage for regional- to global-scale analyses. We find that these models are generally well constrained in simulating photosynthetic yield but show strongly divergent patterns in the simulation of absorbed photosynthetic active radiation (PAR), absolute GPP and fluorescence, quantum yields, and light response at the leaf and canopy scales. This study highlights the need for mechanistic modeling of nonphotochemical quenching in stressed and unstressed environments and improved the representation of light absorption (APAR), distribution of light across sunlit and shaded leaves, and radiative transfer from the leaf to the canopy scale.

Beschreibung: Oral diseases have an impact on the general condition and quality of life of patients. After a dento-alveolar trauma, a tooth extraction, or, in the case of some genetic skeletal diseases, a maxillary bone defect, can be observed, leading to the impossibility of placing a dental implant for the restoration of masticatory function. Recently, bone neoformation was demonstrated after in vivo implantation of polycaprolactone (PCL) biomembranes functionalized with bone morphogenic protein 2 (BMP-2) and ibuprofen in a mouse maxillary bone lesion. In the present study, human bone marrow derived mesenchymal stem cells (hBM-MSCs) were added on BMP-2 functionalized PCL biomembranes and implanted in a maxillary bone lesion. Viability of hBM-MSCs on the biomembranes has been observed using the “LIVE/DEAD” viability test and scanning electron microscopy (SEM). Maxillary bone regeneration was observed for periods ranging from 90 to 150 days after implantation. Various imaging methods (histology, micro-CT) have demonstrated bone remodeling and filling of the lesion by neoformed bone tissue. The presence of mesenchymal stem cells and BMP-2 allows the acceleration of the bone remodeling process. These results are encouraging for the effectiveness and the clinical use of this new technology combining growth factors and mesenchymal stem cells derived from bone marrow in a bioresorbable membrane.

Beschreibung: Photosynthesis by terrestrial plants represents the majority of CO2 uptake on Earth, yet it is difficult to measure directly from space. Estimation of gross primary production (GPP) from remote sensing indices represents a primary source of uncertainty, in particular for observing seasonal variations in evergreen forests. Recent vegetation remote sensing techniques have highlighted spectral regions sensitive to dynamic changes in leaf/needle carotenoid composition, showing promise for tracking seasonal changes in photosynthesis of evergreen forests. However, these have mostly been investigated with intermittent field campaigns or with narrow-band spectrometers in these ecosystems. To investigate this potential, we continuously measured vegetation reflectance (400–900 nm) using a canopy spectrometer system, PhotoSpec, mounted on top of an eddy-covariance flux tower in a subalpine evergreen forest at Niwot Ridge, Colorado, USA. We analyzed driving spectral components in the measured canopy reflectance using both statistical and process-based approaches. The decomposed spectral components co-varied with carotenoid content and GPP, supporting the interpretation of the photochemical reflectance index (PRI) and the chlorophyll/carotenoid index (CCI). Although the entire 400–900 nm range showed additional spectral changes near the red edge, it did not provide significant improvements in GPP predictions. We found little seasonal variation in both normalized difference vegetation index (NDVI) and the near-infrared vegetation index (NIRv) in this ecosystem. In addition, we quantitatively determined needle-scale chlorophyll-to-carotenoid ratios as well as anthocyanin contents using full-spectrum inversions, both of which were tightly correlated with seasonal GPP changes. Reconstructing GPP from vegetation reflectance using partial least-squares regression (PLSR) explained approximately 87 % of the variability in observed GPP. Our results linked the seasonal variation in reflectance to the pool size of photoprotective pigments, highlighting all spectral locations within 400–900 nm associated with GPP seasonality in evergreen forests.