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- Jupiter’s hot spots: Quantitative assessment of the retrieval capabilities of future IR spectro-imagersPublication . Grassi, D.; Adriani, A.; Moriconi, M. L.; Ignatiev, N. I.; D'Aversa, E.; Colosimo, F.; Negrão, A.; Brower, L.; Dinelli, B. M.; Coradini, A.; Piccioni, G.Jupiter's atmosphere presents limited regions of relatively thin cloud coverage (the so-called 'hot spots'), which allow thermal radiation by warmer, deeper atmospheric layers to be transmitted directly to space. Hot spots therefore represent a means for probing physical conditions (namely chemical composition) below the main aerosol deck. Forthcoming missions to the Jovian system Juno and EJSM spacecrafts will host as payload components spectro-imagers operating in the infrared. Their coverage of 5 μm CH4 transparency windows make them particularly suitable for the investigation of hot spots. This study is an assessment of their retrieval capabilities on the evaluation of gaseous mixing ratios from nighttime observations, on the basis of Bayesian theory. The retrieval performance is evaluated for the JIRAM instrument, a confirmed payload component of Juno. Its data will provide effective constraints on the mixing ratios of water vapor between 40 and 70 km below the reference 1 bar pressure level (between 3.5 and 7 bars). Assuming an a priori correlation length equal to half the scale height, we achieve a minimum retrieval uncertainty of 0.17, once the mixing ratio is given in terms of log10(α), with α being the adimensional mixing ratio (vs. altitude) relative to a given reference profile. The JIRAM-Juno dataset will further allow determination of the ammonia mixing ratio, with a minimum relative retrieval uncertainty of 0.32 in the same altitude range, and of the phosphine mixing ratio, with comparable uncertainty up to the reference altitude. The retrieval performance is evaluated for a second instrument VIRHIS, which is a proposed payload component of Jupiter Ganymede Orbiter (JGO), one of the two spacecrafts of Europa-Jupiter System Mission (EJSM). This instrument has the benefit of higher spectral resolution and extended spectral range, when compared to JIRAM-Juno. Evaluation of the water vapor retrieval shows the uncertainty would be reduced to 0.08 with VIRHIS. The ammonia retrieval range would be expanded up to 10 km (0.66 bar), with a minimum uncertainty value of 0.10. Both instruments will place these measurements in a spatial context due to their simultaneous imaging capabilities, enabling therefore a number of studies covering chemical and dynamical aspects of atmospheric evolution.
- Production of human milk fat substitutes enriched in omega-3 polyunsaturated fatty acids using immobilized commercial lipases and Candida parapsilosis lipase/acyltransferasePublication . Tecelão, Carla; Silva, Joana; Dubreucq, Eric; Ribeiro, Maria H.; Ferreira-Dias, SuzanaIn human milk fat (HMF), palmitic acid (20-30%), the major saturated fatty acid, is mostly esterified at the sn-2 position of triacylglycerols, while unsaturated fatty acids are at the sn-1,3 positions, conversely to that occurring in vegetable oils. This study aims at the production of HMF substitutes by enzyme-catalyzed interesterification of tripalmitin with (i) oleic acid (system I) or (ii) omega-3 polyunsaturated fatty acids (omega-3 PUFA) (system II) in solvent-free media. Interesterification activity and batch operational stability of commercial immobilized lipases from Rhizomucor miehei (Lipozyme RM IM), Thermomyces lanuginosa (Lipozyme TL IM) and Candida antarctica (Novozym 435) from Novozymes, DK, and Candida parapsilosis lipase/acyltransferase immobilized on Accurel MP 1000 were evaluated. After 24-h reaction at 60 °C, molar incorporation of oleic acid was about 27% for all the commercial lipases tested and 9% with C. parapsilosis enzyme. Concerning omega-3 PUFA, the highest incorporations were observed with Novozym 435 (21.6%) and Lipozyme RM IM (20%), in contrast with C. parapsilosis enzyme (8.5%) and Lipozyme TL IM (8.2%). In system I, Lipozyme RM IM maintained its activity for 10 repeated 23-h batches while for Lipozyme TL IM, Novozym 435 and C. parapsilosis enzyme, linear (half-life time, t1/2 = 154 h), series-type (t1/2 = 253 h) and first-order (t1/2 = 34.5 h) deactivations were respectively observed. In system II, Lipozyme RM IM showed linear deactivation (t1/2 = 276 h), while Novozym 435 (t1/2 = 322 h) and C. parapsilosis enzyme (t1/2 = 127 h), presented series-type deactivation. Both activity and stability of the biocatalysts depended on the acyl donor used.
- Concept Maps for the Modelling of Controlled Flexibility in Software ProcessesPublication . Martinho, Ricardo; Domingos, Dulce; Varajão, JoãoSoftware processes and corresponding models are dynamic entities that are often changed and evolved by skillful knowledge workers such as the members of a software development team. Consequently, process flexibility has been identified as one of the most important features that should be supported by both Process Modelling Languages (PMLs) and software tools that manage the processes. However, in the everyday practice, most software team members do not want total flexibility. They rather prefer to have controlled flexibility, i.e., to learn and follow advices previously modelled by a process engineer on which and how they can change the elements that compose a software process. Since process models constitute a preferred vehicle for sharing and communicating knowledge on software processes, the process engineer needs a PML that can express this controlled flexibility, along with other process perspectives. To achieve this enhanced PML, we first need a sound core set of concepts and relationships that defines the knowledge domain associated with the modelling of controlled flexibility. In this paper we capture and represent this domain by using Concept Maps (Cmaps). These include diagrams and descriptions that elicit the relationships between the concepts involved. The proposed Cmaps can then be used as input to extend a PML with modelling constructs to express controlled flexibility within software processes. Process engineers can use these constructs to define, in a process model, advices on changes that can be made to the model itself or to related instances. Software team members can then consult this controlled flexibility information within the process models and perform changes accordingly.
- Climate control of terrestrial carbon exchange across biomes and continentsPublication . Yi, Chuixiang; Ricciuto, Daniel; Li, Runze; Wolbeck, John; Xu, Xiyan; Nilsson, Mats; Aires, Luis; Albertson, John D.; Ammann, Christof; Arain, M. Altaf; Araujo, Alessandro C. de; Aubinet, Marc; Aurela, Mika; Barcza, Zoltán; Barr, Alan; Berbigier, Paul; Beringer, Jason; Bernhofer, Christian; Black, Andrew T.; Bolstad, Paul V.; Bosveld, Fred C.; Broadmeadow, Mark S. J.; Buchmann, Nina; Burns, Sean P.; Cellier, Pierre; Chen, Jingming; Chen, Jiquan; Ciais, Philippe; Clement, Robert; Cook, Bruce D.; Curtis, Peter S.; Dail, D. Bryan; Dellwik, Ebba; Delpierre, Nicolas; Desai, Ankur R.; Dore, Sabina; Dragoni, Danilo; Drake, Bert G.; Dufrêne, Eric; Dunn, Allison; Elbers, Jan; Eugster, Werner; Falk, Matthias; Feigenwinter, Christian; Flanagan, Lawrence B.; Foken, Thomas; Frank, John; Fuhrer, Juerg; Gianelle, Damiano; Goldstein, Allen; Goulden, Mike; Granier, Andre; Grünwald, Thomas; Gu, Lianhong; Guo, Haiqiang; Hammerle, Albin; Han, Shijie; Hanan, Niall P.; Haszpra, László; Heinesch, Bernard; Helfter, Carole; Hendriks, Dimmie; Hutley, Lindsay B.; Ibrom, Andreas; Jacobs, Cor; Johansson, Torbjörn; Jongen, Marjan; Katul, Gabriel; Kiely, Gerard; Klumpp, Katja; Knohl, Alexander; Kolb, Thomas; Kutsch, Werner L.; Lafleur, Peter; Laurila, Tuomas; Leuning, Ray; Lindroth, Anders; Liu, Heping; Loubet, Benjamin; Manca, Giovanni; Marek, Michal; Margolis, Hank A.; Martin, Timothy A.; Massman, William J.; Matamala, Roser; Matteucci, Giorgio; McCaughey, Harry; Merbold, Lutz; Meyers, Tilden; Migliavacca, Mirco; Miglietta, Franco; Misson, Laurent; Mölder, Meelis; Moncrieff, John; Monson, Russell K.; Montagnani, Leonardo; Montes-Helu, Mario; Moors, Eddy; Moureaux, Christine; Mukelabai, Mukufute M.; Munger, J. William; Myklebust, May; Nagy, Zoltán; Noormets, Asko; Oechel, Walter; Oren, Ram; Pallardy, Stephen G.; Paw U, Kyaw Tha; Pereira, João S.; Pilegaard, Kim; Pintér, Krisztina; Pio, Casimiro; Pita, Gabriel; Powell, Thomas L.; Rambal, Serge; Randerson, James T.; von Randow, Celso; Rebmann, Corinna; Rinne, Janne; Rossi, Federica; Roulet, Nigel; Ryel, Ronald J.; Sagerfors, Jorgen; Saigusa, Nobuko; Sanz, María José; Mugnozza, Giuseppe-Scarascia; Schmid, Hans Peter; Seufert, Guenther; Siqueira, Mario; Soussana, Jean-François; Starr, Gregory; Sutton, Mark A.; Tenhunen, John; Tuba, Zoltán; Tuovinen, Juha-Pekka; Valentini, Riccardo; Vogel, Christoph S.; Wang, Jingxin; Wang, Shaoqiang; Wang, Weiguo; Welp, Lisa R.; Wen, Xuefa; Wharton, Sonia; Wilkinson, Matthew; Williams, Christopher A.; Wohlfahrt, Georg; Yamamoto, Susumu; Yu, Guirui; Zampedri, Roberto; Zhao, Bin; Zhao, XinquanUnderstanding the relationships between climate and carbon exchange by terrestrial ecosystems is critical to predict future levels of atmospheric carbon dioxide because of the potential accelerating effects of positive climate-carbon cycle feedbacks. However, directly observed relationships between climate and terrestrial CO2exchange with the atmosphere across biomes and continents are lacking. Here we present data describing the relationships between net ecosystem exchange of carbon (NEE) and climate factors as measured using the eddy covariance method at 125 unique sites in various ecosystems over six continents with a total of 559 site-years. We find that NEE observed at eddy covariance sites is (1) a strong function of mean annual temperature at mid- and high-latitudes, (2) a strong function of dryness at mid- and low-latitudes, and (3) a function of both temperature and dryness around the mid-latitudinal belt (45°N). The sensitivity of NEE to mean annual temperature breaks down at ∼16 ®C (a threshold value of mean annual temperature), above which no further increase of CO,.2uptake with temperature was observed and dryness influence overrules temperature influence.