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104. Atlas of the solar intensity spectrum and its center to limb variation

Author

Ramelli, R., Setzer, M., Engelhard, M., Bianda, M., Paglia, F., Stenflo, J. O., Küveler, G., and Plewe, R.

Subjects
Astrophysics - Solar and Stellar Astrophysics
Abstract

The solar limb darkening function is well known and is widely employed in models of the solar atmosphere. However, there has been a lack of systematic spectrally resolved measurements. Therefore we recently decided to start an observing campaign with the Gregory Coud\'e Telescope at IRSOL in Locarno in order to produce a spectral atlas obtained at 10 different heliocentric angles $\theta$, chosen so that $\mu = \cos\theta$ covers the interval from 0.1 to 1.0 in step of 0.1. The measurements carried out till now include the spectral range from 439 nm to 666 nm. The collected data provide information about the anisotropy of the emergent radiation field on the solar surface, allowing a better modeling of the Second Solar Spectrum. In addition the data give observational constraints that should be taken into account when modeling the solar atmosphere., Comment: 4 pages, 2 figures, Proceedings paper of the Solar Polarization Workshop 8, held in Florence (I), September, 12-16 2017

Published
2017

106. Risk, Returns, and Wealth Creation: Insights from Private Market Investments.

Author

Paglia, John K.

Subjects
INDIVIDUAL retirement accounts, ASSET allocation, VENTURE capital, INDIVIDUAL investors, PRIVATE equity, 401(K) plans, ALTERNATIVE investments
Abstract

In recent history, institutional investors have increased allocations to alternative assets in an effort to boost portfolio returns. The attention is now turning to individual investors. Significant partnerships, private platforms, and organizations have emerged to democratize access to alternative investments. In 2021, the US Department of Labor also took a position, suggesting that it might be prudent to include private equity in individual retirement accounts, such as in 401(k) and 403(b) plans. While institutional investors have decades of experience investing in alternative assets, the vast majority of individual investors do not. Consequently, relatively little is known about optimal alternative asset allocations for individual investors. This article presents historical risk and return characteristics from private investments including venture capital, private equity, private credit, and real estate, and constructs portfolios building on a traditional 60/40 (public equity/public debt) allocation, with varying levels of a private markets index, to examine portfolio risk and return trade-offs. Findings reveal that there are portfolio benefits to both returns and risk from adding a significant allocation to alternative investments and that wealth impacts can be sizable over time. [ABSTRACT FROM AUTHOR]

Published
2024
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107. Carbon-Phenolic Ablators Modified by Ceramic Nanofilms Deposited via Atomic Layer Deposition (ALD) Technique.

Author

Bottacchiari, Rita, Borgese, Laura, Paglia, Laura, Pedrizzetti, Giulia, Marra, Francesco, and Pulci, Giovanni

Subjects
ABLATIVE materials, ATOMIC layer deposition, COMPOSITE materials, CONFORMAL coatings, PHENOLIC resins
Abstract

Ablative materials are widely employed to protect space vehicles from the extreme thermal conditions experienced during their flight into a planetary atmosphere. Carbon-phenolic ablators are composed of a phenolic matrix and a fibrous carbon reinforcement. In the present study, the fibrous reinforcement has been modified through the deposition of thin protective layers of zirconium oxide and aluminum oxide, with the objective of reducing fiber recession and oxidation. The depositions were carried out via atomic layer deposition (ALD), a method that allows for the controlled deposition of uniform and conformal coatings on the carbon felt fibers. The depositions were subsequently evaluated through SEM-EDS analysis. Pristine and ALD-modified felts were impregnated with a phenolic resin matrix and the ablation performance of the composite materials was evaluated through oxyacetylene flame tests. The results demonstrated that, in comparison to uncoated ablators, the ALD-modified samples exhibited enhanced performance in terms of mass loss and surface recession: compared to uncoated ablators, the former was 14% lower and the latter was diminished by 50%. Moreover, the morphological characterization of the tested specimens revealed a significantly reduced degree of oxidation of the coated fibers which were directly exposed to the flame. [ABSTRACT FROM AUTHOR]

Published
2024
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108. Predicting Wall Pressure Fluctuations on Aerospace Launchers Through Machine Learning Approaches.

Author

de Paola, Elisa, Camussi, Roberto, Gasparetti, Fabio, Di Marco, Alessandro, Stoica, Luana G., Capobianchi, Giorgia, and Paglia, Fabio

Subjects
WIND tunnel testing, SOUND pressure, ARTIFICIAL neural networks, STANDARD deviations, KRIGING
Abstract

Artificial intelligence (AI) can be used to optimize the prediction of pressure fluctuations over the external surfaces of aerospace launchers and minimize the number of wind tunnel tests. In the present research, various machine learning (ML) techniques capable of predicting the acoustic load were tested and validated. The methods included decision trees, Gaussian Process Regression (GPR), Support Vector Machines (SVMs), artificial neural networks (ANNs), linear regression, and ensemble methods such as bagged and boosted trees. These algorithms were trained using experimental data from an extensive wind tunnel test campaign conducted to support the design of a VEGA (Advanced Generation European Vehicle) launcher vehicle and provide wall pressure fluctuations in many configurations. The main objective of this study was to identify, among several algorithms, the most suitable method able to process such complex databases efficiently and to provide reliable predictions. Different statistical indices, including the root mean square error (RMSE), the mean square error (MSE), and a correlation coefficient (R-squared), were employed to evaluate the performance of the ML methods. Among all the methods, the bagged tree algorithm outperformed the others, providing the most accurate predictions, with low RMSE and high R-squared values across all test cases. Other methods, such as the ANNs and GPR, exhibited higher errors, indicating their reduced suitability for this dataset. The results demonstrate that ensemble decision tree methods are highly effective in predicting acoustic loads, offering reliable predictions, even for configurations outside the training database. These findings support the application of ML-based models to optimize experimental campaigns and enhance the design of aerospace launch vehicles. [ABSTRACT FROM AUTHOR]

Published
2024
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109. Evaluation of Apparent Metabolizable Energy and Apparent Ileal Amino Acid Digestibility of Spirulina (Arthrospira platensis) in Broiler Chickens and Laying Hens.

Author

O'Lear Reid, Taylor K., Gardner, Katherine E., Paglia, Kayla L., Ulans, Alexandra C. M., Spierling, Ruth E., Edwards, Mark S., Lundquist, Tryg J., McFarlane, Zach D., Pokharel, Siroj, and Bennett, Darin C.

Subjects
ESSENTIAL amino acids, HENS, BROILER chickens, METABOLIZABLE energy values, SPIRULINA
Abstract

Simple Summary: A growing world population has increased the demand for animal protein, and the poultry industry is a major contributor to meeting this demand. Increasing feed costs and unreliable availability have prompted the poultry industry to identify and evaluate alternative feed ingredients. In this study, we evaluate the energy and amino acid availability of spirulina (Arthrospira platensis), a filamentous blue-green microalgae. The results show that spirulina is a high-quality feed ingredient for possible inclusion in poultry diets. Our study objective was to determine the apparent metabolizable energy (AME) and apparent ileal amino acid digestibility (AIAAD) of spirulina fed to broiler chickens and laying hens using the difference method. In both experiments, birds were either fed corn-soybean meal basal diets, containing no spirulina and formulated to provide the nutrient requirements of either broilers or layers, or fed test diets consisting of 25% spirulina and 75% of the appropriate basal diet. Titanium dioxide was added to all diets as an indigestible marker. The diets were fed to 10 replicate cages/treatment of broilers and 15 replicate cages/treatment of laying hens. The AME of spirulina for broilers was significantly lower (p < 0.05) (2368 ± 104 kcal/kg, as fed) than for laying hens (3144 ± 173 kcal/kg, as fed), suggesting bird type and age may influence energy utilization. The AIAAD of spirulina fed to broiler chickens did not differ from that of laying hens (p > 0.05), except for valine, alanine, and glycine, which were all significantly higher in laying hens (p < 0.05). Overall, the AIAAD for nonessential amino acids averaged 81.1%, with no significant difference between essential and nonessential amino acids. Differences in spirulina nutrient content cited in the literature support further research to determine the optimal inclusion of this alternative ingredient in broiler and layer diets. [ABSTRACT FROM AUTHOR]

Published
2024
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110. Strategies to convert hospital beds for COVID-19 patients to minimize emergency department overcrowding.

Author

Nattino, Giovanni, Paganuzzi, Marco Maria, Ghilardi, Giulia Irene, Costantino, Giorgio, Rossi, Carlotta, Cortellaro, Francesca, Cosentini, Roberto, Paglia, Stefano, Migliori, Maurizio, and Bertolini, Guido

Subjects
HOSPITAL utilization, POISSON distribution, COMPUTER simulation, PATIENTS, HOSPITAL building design & construction, RESEARCH funding, PREDICTION models, HOSPITAL admission & discharge, SCIENTIFIC observation, HOSPITAL care, HOSPITAL emergency services, RETROSPECTIVE studies, REVERSE transcriptase polymerase chain reaction, DESCRIPTIVE statistics, CROWDS, DATA analysis software, COVID-19, REGRESSION analysis
Abstract

Background: The shortage of hospital beds for COVID-19 patients has been one critical cause of Emergency Department (ED) overcrowding. Purpose: We aimed at elaborating a strategy of conversion of hospital beds, from non-COVID-19 to COVID-19 care, minimizing both ED overcrowding and the number of beds eventually converted. Research Design: Observational retrospective study. Study Sample: We considered the centralized database of all ED admissions in the Lombardy region of Italy during the second "COVID-19 wave" (October to December 2020). Data collection and Analysis: We analyzed all admissions to 82 EDs. We devised a family of Monte Carlo simulations to evaluate the performance of hospital beds' conversion strategies triggered by ED crowding of COVID-19 patients, determining a critical number of beds to be converted when passing an ED-specific crowding threshold. Results: Our results suggest that the maximum number of patients waiting for hospitalization could have been decreased by 70% with the proposed strategy. Such a reduction would have been achieved by converting 30% more hospital beds than the total number converted in the region. Conclusions: The disproportion between reduction in ED crowding and additionally converted beds suggests that a wide margin to improve the efficiency of the conversions exists. The proposed simulation apparatus can be easily generalized to study management policies synchronizing ED output and in-hospital bed availability. [ABSTRACT FROM AUTHOR]

Published
2024
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111. Mapping the distribution of bioactive compounds and aroma/flavour precursors in green coffee beans with an integrated mass spectrometry-based approach.

Author

Bindi, Greta, Smith, Andrew, Crisafulli, Paola, Denti, Vanna, Bossi, Eleonora, Serrao, Simone, Piga, Isabella, Sánchez, William S., Paglia, Giuseppe, Magni, Fulvio, and Navarini, Luciano

Subjects
LIQUID chromatography-mass spectrometry, TANDEM mass spectrometry, COFFEE beans, GREEN bean, METABOLITES, COFFEE brewing
Abstract

Coffee is one of the most enjoyed beverages worldwide and whilst a wide array of secondary metabolites has been qualitatively and quantitatively characterised within the coffee bean, little is known about their distribution in different bean tissues. In this work, complementary mass spectrometry (MS) based approaches were utilised to determine the spatial metabolomic content of coffee beans, focusing on highlighting those which presented a regiospecific distribution and distinguished the different endosperm regions and the embryo. Preliminary exploration of the spatial metabolome of Coffea arabica coffee beans highlighted tissue-specific molecular features through an unsupervised statistical analysis. Then, the complementary information derived from higher resolution MS approaches resulted in the annotation of 13 metabolites which showed a specific enrichment in at least one tissue, and most of these were noted to be bioactive compounds or aroma/flavour precursors. Knowledge of the tissue distribution of these compounds could shed light on their biological role in plant physiology and bean development, but could also have relevant implications for their positive impact on human health due to coffee consumption as well as their possible effect on aroma and flavour upon roasting of green coffee beans. [ABSTRACT FROM AUTHOR]

Published
2024
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112. Revolutionizing Blood Collection: Innovations, Applications, and the Potential of Microsampling Technologies for Monitoring Metabolites and Lipids

Author

Eleonora Bossi, Elena Limo, Lisa Pagani, Nicole Monza, Simone Serrao, Vanna Denti, Giuseppe Astarita, and Giuseppe Paglia

Subjects
metabolomics, lipidomics, dried blood spot, microsampling, drug discovery, personalized medicine, Microbiology, QR1-502
Abstract

Blood serves as the primary global biological matrix for health surveillance, disease diagnosis, and response to drug treatment, holding significant promise for personalized medicine. The diverse array of lipids and metabolites in the blood provides a snapshot of both physiological and pathological processes, with many routinely monitored during conventional wellness checks. The conventional method involves intravenous blood collection, extracting a few milliliters via venipuncture, a technique limited to clinical settings due to its dependence on trained personnel. Microsampling methods have evolved to be less invasive (collecting ≤150 µL of capillary blood), user-friendly (enabling self-collection), and suitable for remote collection in longitudinal studies. Dried blood spot (DBS), a pioneering microsampling technique, dominates clinical and research domains. Recent advancements in device technology address critical limitations of classical DBS, specifically variations in hematocrit and volume. This review presents a comprehensive overview of state-of-the-art microsampling devices, emphasizing their applications and potential for monitoring metabolites and lipids in blood. The scope extends to diverse areas, encompassing population studies, nutritional investigations, drug discovery, sports medicine, and multi-omics research.

Published
2024
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114. Bioactive Molecules from the Innate Immunity of Ascidians and Innovative Methods of Drug Discovery: A Computational Approach Based on Artificial Intelligence

Author

Laura La Paglia, Mirella Vazzana, Manuela Mauro, Alfonso Urso, Vincenzo Arizza, and Aiti Vizzini

Subjects
bioactive molecules, marine invertebrate, artificial intelligence, innate immunity, Biology (General), QH301-705.5
Abstract

The study of bioactive molecules of marine origin has created an important bridge between biological knowledge and its applications in biotechnology and biomedicine. Current studies in different research fields, such as biomedicine, aim to discover marine molecules characterized by biological activities that can be used to produce potential drugs for human use. In recent decades, increasing attention has been paid to a particular group of marine invertebrates, the Ascidians, as they are a source of bioactive products. We describe omics data and computational methods relevant to identifying the mechanisms and processes of innate immunity underlying the biosynthesis of bioactive molecules, focusing on innovative computational approaches based on Artificial Intelligence. Since there is increasing attention on finding new solutions for a sustainable supply of bioactive compounds, we propose that a possible improvement in the biodiscovery pipeline might also come from the study and utilization of marine invertebrates’ innate immunity.

Published
2023
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115. Rockfall Susceptibility Assessment and Landscape Evolution of San Nicola Island (Tremiti Islands, Southern Adriatic Sea, Italy)

Author

Jacopo Cinosi, Valerio Piattelli, Giorgio Paglia, Adelmo Sorci, Francesco Ciavattella, and Enrico Miccadei

Subjects
rockfalls, geomorphological field mapping, geothematic parameters, heuristic method, GIS analysis, Tremiti Archipelago, Geology, QE1-996.5
Abstract

San Nicola Island, pertaining to the Tremiti Archipelago (Southern Adriatic Sea, Italy), is widely affected by cliff retreat and gravitational phenomena which severely threaten its monumental historical and natural value. In this study, geomorphological features of the area were derived following a stepwise approach, combining multitemporal stereoscopic aerial photo interpretations with morphometric analyses and detailed field surveys. A rockfall susceptibility map was created following a heuristic approach based on morphometric and geothematic parameters, accounting for slope, slope aspect, outcropping lithologies, structural discontinuities density, distance from landslide scarps, and presence of anthropic caves. Cliff sectors set on dolomitic limestones feature the highest susceptibility values, especially along the southeastern sector; medium values, instead, are found along the island flanks and along scarps located within the inner sectors; and the lowest values are detected on summit tabular surfaces. The achieved results were compared with historical maps and seismic data derived from local and national archives and catalogues, respectively. These analyses allowed us to define the role played by litho-structural and tectonic features on landslide occurrence and distribution, and their interplay in driving landscape evolution over centuries. Finally, this work represents a valuable scientific tool to support geomorphological studies for landslide hazard assessment and proper territorial planning in any other small insular areas, showing similar geological–geomorphological features and landscape values.

Published
2023
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116. Towards the Design of a User-Friendly Chimney-Cleaning Robot

Author

Giuliano Arcorace, Giovanni Caruso, Pietro Cavallaro, Antonio Pantaleone Paglia, Christian Sollazzo, Manuel Tripodi, Elio Matteo Curcio, Francesco Lago, and Giuseppe Carbone

Subjects
design, chimney cleaning robot, preliminary testing, Mechanical engineering and machinery, TJ1-1570
Abstract

Domestic chimney cleaning is still mostly a manual procedure which can be overly complex, dangerous, and expansive. This paper describes the design of a novel robotic device for chimney cleaning that aims to provide a valuable alternative solution to the traditional manual techniques with user-friendly and low-cost features. The proposed device enables a significant reduction in operator risks, including roof falling and soot dust contact. The paper’s content describes, in detail, the design process, including a definition of the main design requirements and steps towards the manufacturing of a preliminary prototype. Moreover, a preliminary validation is described through laboratory tests to demonstrate the engineering feasibility and effectiveness of the proposed design solution for the intended semi-autonomous chimney-cleaning application.

Published
2023
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120. Application of Signal Classifiers in Auditory Evoked Potentials for the Detection of Pathological Patients

Author

M. G. Baldiviezo, J. L. Barbería, C. B. Bontempo, Y. Corsaro, F. Fernandez Biancardi, M. R. Hernando, L. Licata Caruso, A. Paglia, M. R. Rodríguez, and W. E. Legnani

Subjects
auditory evoked potentials, permutation entropy, signal classification, fractal dimension, Lyapunov exponent, zero crossing rate, Mathematics, QA1-939
Abstract

The auditory brainstem response (ABR) by evoked potentials is a widespread auditory pathway assessment technique. This is largely applied due to its cost-effectiveness, practicality and ease of use. In contrast, it requires a trained professional to carry out the analysis of the results. This motivates several research efforts to increase the independence of the diagnostician. To this end, the present work shows the ability of three signal classification tools to differentiate ABR studies of normal hearing subjects from those who may have some pathology. As a starting point, the PhysioNet short term auditory evoked potentials databases are used to calculate the features later applied to construct the dataset. The features used are diverse classes of permutation entropy, fractal dimension, the Lyapunov exponent and the zero crossing rate. To ensure more accurate results, a Montecarlo simulation of one thousand trials is employed to train the classifiers and test the results. The goodness of the classification is performed upon the basis of the computation of quality parameters, such as the area under the receiver operating characteristic curve (ROC), the F1 score coefficient and the accuracy. In all the cases the methodology proposed gives high performance results that encourage the line of research of the present work.

Published
2023
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121. Metabolomics Reveals the Molecular Mechanisms of Copper Induced Cucumber Leaf (Cucumis sativus) Senescence

Author

Zhao, Lijuan, Huang, Yuxiong, Paglia, Kelly, Vaniya, Arpana, Wancewicz, Benjamin, and Keller, Arturo A

Subjects
Medical Biochemistry and Metabolomics, Plant Biology, Biological Sciences, Biomedical and Clinical Sciences, Nutrition, Antioxidants, Copper, Cucumis sativus, Metabolomics, Plant Leaves, Environmental Sciences
Abstract

Excess copper may disturb plant photosynthesis and induce leaf senescence. The underlying toxicity mechanism is not well understood. Here, 3-week-old cucumber plants were foliar exposed to different copper concentrations (10, 100, and 500 mg/L) for a final dose of 0.21, 2.1, and 10 mg/plant, using CuSO4 as the Cu ion source for 7 days, three times per day. Metabolomics quantified 149 primary and 79 secondary metabolites. A number of intermediates of the tricarboxylic acid (TCA) cycle were significantly down-regulated 1.4-2.4 fold, indicating a perturbed carbohydrate metabolism. Ascorbate and aldarate metabolism and shikimate-phenylpropanoid biosynthesis (antioxidant and defense related pathways) were perturbed by excess copper. These metabolic responses occur even at the lowest copper dose considered although no phenotype changes were observed at this dose. High copper dose resulted in a 2-fold increase in phytol, a degradation product of chlorophyll. Polyphenol metabolomics revealed that some flavonoids were down-regulated, while the nonflavonoid 4-hydroxycinnamic acid and trans-2-hydroxycinnamic acid were significantly up-regulated 4- and 26-fold compared to the control. This study enhances current understanding of copper toxicity to plants and demonstrates that metabolomics profiling provides a more comprehensive view of plant responses to stressors, which can be applied to other plant species and contaminants.

Published
2018

129. POS0875 DEFINING THE THRESHOLD OF NORMALITY IN MUSCULOSKELETAL ULTRASOUND; AN OMERACT ULTRASOUND STUDY

Author

Sahbudin, I., primary, Trickey, J., additional, Gouze, H., additional, Stoenoiu, M. S., additional, Filippou, G., additional, Sakellariou, G., additional, Maruseac, M., additional, Wittoek, R., additional, Carron, P., additional, Tinazzi, I., additional, Iagnocco, A., additional, Serban, T., additional, Azzolin, I., additional, Terslev, L., additional, Ammitzbøll-Danielsen, M., additional, Nyhuus Bendix Rasch, M., additional, Hauge, E. M., additional, Hammer, H. B., additional, Milchert, M., additional, Fliciński, J., additional, Mandl, P., additional, Borst, C., additional, Fodor, D., additional, Vreju, F. A., additional, Karalilova, R., additional, Naredo, E., additional, Sifuentes-Cantú, C., additional, La Paglia, G. M. C., additional, Pineda, C., additional, Gutierrez, M., additional, Leon, G., additional, Reátegui-Sokolova, C., additional, Mortada, M. A., additional, Suzuki, T., additional, Ikeda, K., additional, Ciurtin, C., additional, Kortekaas, M., additional, Ohrndorf, S., additional, Keen, H., additional, Bruyn, G., additional, Filer, A., additional, and D’agostino, M. A., additional

Published
2024
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131. Anthropogenic land-use change decreases pollination and male and female fitness in terrestrial flowering plants

Author

Aguilar, Ramiro, primary, Cristóbal-Pérez, E Jacob, additional, Marquez, Victoria, additional, Carbone, Lucas M, additional, Paglia, Isis, additional, Freitas, Leandro, additional, Ashworth, Lorena, additional, Martén-Rodríguez, Silvana, additional, Wilson Fernandes, Geraldo, additional, Lobo, Jorge, additional, Fuchs, Eric J, additional, and Quesada, Mauricio, additional

Published
2024
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132. Clinical heterogeneity of Kabuki syndrome in a cohort of Italian patients and review of the literature

Author

Di Candia, Francesca, Fontana, Paolo, Paglia, Pamela, Falco, Mariateresa, Rosano, Carmen, Piscopo, Carmelo, Cappuccio, Gerarda, Siano, Maria Anna, De Brasi, Daniele, Mandato, Claudia, De Maggio, Ilaria, Squeo, Gabriella Maria, Monica, Matteo Della, Scarano, Gioacchino, Lonardo, Fortunato, Strisciuglio, Pietro, Merla, Giuseppe, and Melis, Daniela

Published
2022
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134. NEOTROPICAL ALIEN MAMMALS : a data set of occurrence and abundance of alien mammals in the Neotropics

Author

da Rosa, Clarissa Alves, Ribeiro, Bruno R., Bejarano, Vanesa, Puertas, Fernando Henrique, Bocchiglieri, Adriana, dos Santos Barbosa, Adriana Loeser, Chiarello, Adriano Garcia, Paglia, Adriano Pereira, Pereira, Adriele Aparecida, de Souza Moreira, Adryelle Francisca, de Souza, Agnis Cristiane, Pellegrin, Aiesca, Gatica, Ailin, Medeiro, Akyllan Zoppi, Pereira, Alan Deivid, Braz, Alan Gerhardt, Yanosky, Alberto, Valenzuela, Alejandro Eduardo Jorge, Bertassoni, Alessandra, dos Santos Venturinido Prado, Alessandra, Nava, Alessandra Ferreira Dales, Rocha, Alessandro, Bovo, Alex Augusto Abreu, Bager, Alex, Cravino, Alexandra, dos Santos Pires, Alexandra, Martensen, Alexandre Camargo, Filippini, Alexandre, Percequillo, Alexandre Reis, Vogliotti, Alexandre, Antunes, Alexsander Zamorano, de Oliveira, Aline Cristina Leite, da Silva de Oliveira, Allan Jefferson, Devlin, Allison, de Paula, Almir, Ferreira, Aluane Silva, García-Olaechea, Alvaro, Subalusky, Amanda, Sánchez, Amadeo, de Aquino, Ana Carla Medeiros Morato, Srbek-Araujo, Ana Carolina, Gonçales, Amane Paldês, Araújo, Ana Caroline L., Gozzi, Ana Cecilia, Ochoa, Ana Cecilia, de Oliveira, Ana Cristina Mendes, Lacerda, Ana Cristyna Reis, Francisco, Ana Karina, de Oliveira Paschoal, Ana Maria, Gomes, Ana Paula Nascimento, Potrich, Ana Paula, Olímpio, Ana Priscila Medeiros, Rojas, Ana, Meiga, Ana Yoko Ykeuti, de Almeida Jácomo, Anah Tereza, Calaça, Analice Maria, Feijó, Anderson, Pagoto, Anderson, Miranda, André Borja, Alonso, André Chein, Barreto-Lima, André Felipe, Lanna, Andre, Luza, André Luís, Camilo, André Restel, Tavares, André, Nunes, André Valle, Kindel, Andreas, de Miguel, Andrés, Gatti, Andressa, Nobre, Andrezza Bellotto, da Conceição Campêlo, Anielise, de Albuquerque, Anna Carolina Figueiredo, de la Torre, Antonio, Mangione, Antonio, Pontes, Antonio Rossano Mendes, Fernandes, Arthur Soares, de Almeida Felicio, Artur Luiz, Ferreguetti, Atilla Colombo, Marcili, Arlei, Piratelli, Augusto João, do Nascimento, Ariel Guilherme Santos, dos Santos, Áureo Banhos, Rosa, Beatris Felipe, Cezila, Beatriz Azevedo, de Thoisy, Benoit, Ingberman, Bianca, Köhler, Bianca, Morais, Bianca Cruz, Gómez-Valencia, Bibiana, de Camargo, Bruna Bertagni, Bezerra, Bruna M., Tamasauskas, Bruna, Campos, Bruno A. T. Parahyba, Kubiak, Bruno Busnello, Saranholi, Bruno Henrique, Nakagawa, Bruno K., Leles, Bruno Pereira, Lim, Burton K., Mendes, Calebe Pereira, Islas, Camila Alvez, Aoki, Camila, Devids, Camila Cantagallo, Figueiredo, Camila, de Abreu, Camila Matias Goes, Oliveira, Camila Raquel Silva, Cassano, Camila Righetto, Lugarini, Camile, Caputo, Carin, Gestich, Carla Cristina, Tedesco, Carla Denise, de Vera y Conde, Carla Fabiane, Hegel, Carla Grasiele Zanin, Kasper, Carlos Benhur, De Angelo, Carlos, Grelle, Carlos E. V., Fragoso, Carlos Eduardo, Esbérard, Carlos Eduardo Lustosa, Rocha, Carlos Frederico Duarte, Verona, Carlos Eduardo, Salvador, Carlos Henrique, Vieira, Carlos Leonardo, Abrahão, Carlos Roberto, Brocardo, Carlos Rodrigo, Fieker, Carolline Zatta, Braga, Caryne, Lalinde, Catalina Sánchez, Bueno, Cecília, Ikuta, Cássia Yumi, Luna, Cecília Licarião Barreto, Cestari, Cesar, Del Vechio Koike, Christine, Knogge, Christoph, Anderson, Christopher Brian, Hurtado, Cindy M., de Oliveira, Cintia Ferreira Antunes, Tellaeche, Cintia, Cesário, Clarice Silva, Costa, Claudia Guimarães, Kanda, Claudia Zukeran, Costa, Sebastián Andrés, Seixas, Cristiana Simão, Trinca, Cristiano Trapé, López-Fuerte, Cristina F., da Cunha, Cristina Jaques, Ribas, Cynthia Doutel, Santos, Cyntia Cavalcante, Buscariol, Daiane, Carreira, Daiane, do Nascimento, Daiane Chaves, Carvalho, Danianderson Rodrigues, da Silva Ferraz, Daniel, Galiano, Daniel, Homem, Daniel Henrique, Jesús-Espinosa, Daniel, Bôlla, Daniela A. S., Moreno, Daniele Janina, de Oliveira Moreira, Danielle, Ramos, Danielle Leal, de Amorim, Danilo Angelucci, Barros-Battesti, Darci Moraes, Lopez, David Echeverri, Tavares, Davi Castro, Post, David M., Couto, Dayvid Rodrigues, Patrocínio, Dennis Nogarolli, Carvalho, Diana Letícia Kruger Pacheco, Silva, Diego Afonso, Córdoba, Diego, Queirolo, Diego, Varela, Diego, de Oliveira, Dilmar Alberto Goncalves, Casanova, Diogo Cavenague, de Matos Dias, Douglas, da Silva, Douglas Machado, Barbier, Eder, Rivadeneira, Edgar Federico, Alexandrino, Eduardo, Carrano, Eduardo, Santos, Eduardo Marques, Venticinque, Eduardo Martins, Hernández-Pérez, Edwin, da Fonseca Casazza, Egberto, Anderson, Elizabeth P., da Costa Fraga, Elmary, de Lima, Elson Fernandes, D’Bastiani, Elvira, Vieira, Emerson Monteiro, Guijosa-Guadarrama, Emiliano, González, Enrique M., Maggiorini, Erica Vanessa, de Aguiar, Erick Francisco Silva, Martínez-Nambo, Erik Daniel, Castro, Érika Paula, de la Peña-Cuéllar, Erika, Pedó, Ezequiel, de Melo, Fabiana Cristina S. Alves, Rocha, Fabiana Lopes, Fonseca, Fabiana Luques, Girardi, Fabiane, de Melo, Fabiano Rodrigues, de Oliveira Roque, Fábio, Ferreira, Fabíola Keesen, Peters, Felipe Bortolotto, Fantacini, Felipe Moreli, Pedrosa, Felipe, da Silva, Felipe Pessoa, Vélez-García, Felipe, Abra, Fernanda D., de Azevedo, Fernanda Cavalcanti, da Silva, Fernanda Guedes, Neri, Fernanda Maria, Teixeira, Fernanda Zimmermann, dos Santos Fernandez, Fernando Antonio, Carvalho, Fernando, Passos, Fernandode Camargo, de Castro Jacinavicius, Fernando, Ferreira, Fernando, de Pinho, Fernando Ferreira, Gonçalves, Fernando, Martins, Fernando Ibanez, Lima, Fernando, Contreras-Moreno, Fernando M., Ribeiro, Fernando Silvério, Tortato, Fernando, Patel, Filipe M., Caruso, Flavia, Tirelli, Flávia Pereira, Rodrigues, Flávio Henrique Guimarães, Ubaid, Flávio Kulaif, Palmeira, Francesca Belem Lopes, Neto, Francisco Grotta, Gabriel, Francisco Homem, de Souza, Franco Leandro, da Veiga da Costa, Francys E., de Aguiar, Gabriel Lima, Lemos, Frederico Gemesio, Magezi, Gabriel S., Di Panigai, Gabriel Ferreira Vianna, Hofmann, Gabriel Selbach, Heliodoro, Gabriela, Graviola, Gabriela Rosa, Beca, Gabrielle, de Andrade, Gabrielle Ribeiro, Romero, Germán Jiménez, Duarte, Gabriela Teixeira, Melo, Geruza Leal, Dierings, Geverson Luiz, Sabino-Santos, Gilberto, de Oliveira, Geovana Linhares, Santana, Gindomar Gomes, Ciocheti, Giordano, Zanirato, Gisele Lamberti, Alves, Giselle Bastos, Batista, Graziele Oliveira, Behling, Greici Maia, Ferreira, Guilherme Braga, da Rocha, Guilherme Casoni, Lessa, Gisele, Mourão, Guilherme, Maras, Gustavo A., da Costa Toledo, Gustavo Alves, Gonsioroski, Gustavo, Canale, Gustavo R., Schuchmann, Karl-Ludwig, Sebastião, Harley, do Prado, Helena Alves, de Godoy Bergallo, Helena, Secco, Helio Kinast Cruz, Roig, Henrique Llacer, Rajão, Henrique, Carlos, Henrique Santiago Alberto, de Oliveira B. Duarte, Herbert, Ermenegildo, Hiago, de Jesus Pena, Hilda Fátima, Júnior, Hilton Entringer, Neto, Hipólito Ferreira Paulino, de Macedo Lemos, Hudson, del Castillo, Hugo, Fernandes-Ferreira, Hugo, Banquero, Hugo Ignacio Coitiño, Roesler, Ignacio, Ribeiro, Igor Kintopp, Coelho, Igor Pfeifer, Lima, Ingrid M. S., Bechara, Isabel Muniz, Lermen, Isabel Salgueiro, Méndez, Isac Mella, Schuck, Gabriela, Esperandio, Isadora Beraldi, de Oliveria Silva, Ita, Mourthe, Italo, Oliveira, Igor, Bernardi, Itiberê Piaia, Miller, Jacqueline R., Marinho-Filho, Jader, Zocche, Jairo José, Russell, James Charles, Seibert, Jardel Brandão, Hinojosa, Javier, Vitule, Jean R. S., Thompson, Jeffrey J., Silva, Jean Carlos Ramos, Gouvea, Jéssica Abonízio, Santos, Jean Pierre, de Faria Falcão, Jéssica Caroline, Castro-Prieto, Jessica, Ferreira, Jéssica Paloma, Pincheira-Ulbrich, Jimmy, Nodari, Joana Zorzal, Gebin, João Carlos Zecchini, Giovanelli, João Gabriel Ribeiro, Miranda, João M. D., Souza-Alves, João Pedro, de Almeida Marins, João Rafael Gomes, Costa, Jociel Ferreira, Sponchiado, Jonas, de Souza, Jonathas Linds, Gallo, Jorge Alberto, Cherem, Jorge José, Cordeiro, José Luís Passos, Duarte, José Maurício Barbanti, Dantas, José Oliveira, de Matos, José Roberto, Pires, José Salatiel Rodrigues, Lanfranco, Juan Andrés Martínez, de la Cruz Godoy, Juan Camilo, Rudolf, Juan Carlos, Parrish, Juan Felipe Reátiga, Tellarini, Juan Francisco, Peña-Mondragón, Juan L., Arrabal, Juan Pablo, Reppucci, Juan, Ruiz-Esparza, Juan, Beduschi, Julia, de Faria Oshima, Júlia Emi, Ribeiro, Juliana Fernandes, de Almeida Rocha, Juliana Monteiro, Neto, José Soares Ferreira, dos Santos, Juliana Silveira, Pereira-Ribeiro, Juliane, Zanoni, Juliani Bruna, Bogoni, Juliano André, Ferreira, Juliana Rodrigues, Bicca-Marques, Júlio César, Pacheco, Julio Javier Chacón, de Oliveira Scarascia, Pietro, Guidoni-Martins, Karlo Gregório, Burs, Kathrin, de Barros Ferraz, Katia Maria Paschoaletto Micchi, Pisciotta, Kátia Regina, Von Kossel de Andrade Silva, Katyucha, Juarez, Keila MacFadem, de 1a Cruz-Félix, Keynes, de Morais, Kimberly Danielle Rodrigues, Candelária, Lana Pavão, Fornitano, Larissa, Bailey, Larissa Lynn, Gonçalves, Larissa Oliveira, Fasola, Laura, León, Laura Johanna Nova, de Andrade, Layla Reis, de Oliveira Marques, Leandro, Macedo, Leandro, Moreira, Leandro Santana, Silveira, Leandro, de Carvalho Oliveira, Leonardo, da Silva, Leonardo Henrique, Jerusalinsky, Leandro, La Serra, Leonardo, Costa, Leonardo Marques, Sartorello, Leonardo Rodrigues, Munhoes, Leticia Prado, Oliveira-Silva, Liany Regina B., de Pina, Ligia Ferracine, Bonjorne, Lilian, Rampim, Lilian Elaine, Sales, Lilian P., da Silva, Lucas Gonçalves, Quintilham, Lucas Lacerda Toth, Perillo, Lucas Neves, Rodríguez-Planes, Lucía Inés, Martín, Lucía, Araújo, Luciana Souza, Tiepolo, Liliani Marilia, Silva, Luciana Zago, Loaiza, Lina Marcela García, de Alagão Querido, Luciano Carramaschi, da Silva, Luciano Ferreira, La Sala, Luciano Francisco, Bopp, Luciano Tessare, Hufnagel, Ludmila, de Oliveira, Luiz Flamarion Barbosa, Oliveira-Santos, Luiz Gustavo Rodrigues, Lyra, Luiz Henrique, Guimarães, Luiza Neves, Segura, Luz Fernanda Jimenez, de Sousa, Luziene Conceição, Möcklinghoff, Lydia, Guichón, M. Laura, de la Maza, Javier, Barrios-Garcia, M. Noelia, Talamoni, Sônia A., Severo, Magnus Machado, Martins, Maísa Ziviani Alves, Oliveira, Marcela Alvares, Moraes, Marcela Figuerêdo Duarte, Lima, Marcela Guimarães Moreira, Pinheiro, Marcell Soares, do Carmo Pônzio, Marcella, Guerreiro, Marcello, Cervini, Marcelo, da Silva, Marcelo, Oliveira, Marcelo Juliano Rabelo, Magioli, Marcelo, Passamani, Marcelo, de Almeida, Marcelo Silva, Amaku, Marcos, de Oliveira, Márcio Leite, Tortato, Marcos Adriano, Melo, Marcos Antônio, Coutinho, Marcos E., Santos, Marcos Pérsio Dantas, Vieira, Marcus V., Andrade, Maria Augusta, Barros, Maria Claudene, do Rosario, Maria Cristina Ferreira, dos Santos Domit, Maria Dolores Alves, de Avelar Fernandes, Maria Emília, Iezzi, María Eugenia, do Nascimento, Maria Histele Sousa, Andrade-Núñez, María José, Lorini, Maria Lucia, de Castro Morini, Maria Santina, Nagy-Reis, Mariana B., Landis, Mariana Bueno, Vale, Mariana Moncassim, Xavier, Mariana Sampaio, Kaizer, Mariane C., Baptiste, Maria Piedad, Bergel, Mariano Maudet, Borgnia, Mariela, Barros, Marília A. S., da Silva, Marina Lima, Favarini, Marina Ochoa, Munerato, Marina Sales, Zaluar, Marina Trancoso, Winter, Marina, da Silva, Marina Xavier, Zanin, Marina, Marques, Marinêz Isaac, Haberfeld, Mario Burke, Di Bitetti, Mario S., Galliez, Maron, Alvarez, Martin R., Malerba, Martina, Rivero, Marina, Dias, Mateus Melo, de Oliveira, Mateus Yan, dos Reis, Matheus Gonçalves, Corrêa, Matheus Rocha Jorge, Graipel, Maurício Eduardo, Godoi, Mauricio N., Núñez-Regueiro, Maurício M., Moura, Mauricio Osvaldo, Orsi, Mário Luís, da Silva, Marco Aurélio Galvão, Lopez, Mauro Sanvicente, Benedetti, Maximiliano Augusto, Beltrão, Mayara Guimarães, Camino, Micaela, Faria, Michel Barros, Miretzki, Michel, Luiz, Micheli Ribeiro, Perine, Michell, Monteiro, Miguel Coutinho Moretta, Alves-Eigenheer, Milene, Perilli, Miriam Lucia Lages, da Silva, Mônica Andrade, Marini, Miguel Ângelo, Pereira, Monicque Silva, de Freitas Junior, Mozart Caetano, Cossa, Natalia, Denkiewicz, Natalia Mariana, Tôrres, Natália Mundim, Olifiers, Natalie, de Albuquerque, Natasha Moraes, Canassa, Nathália Fernandes, Detogne, Nathália, Filho, Newton Gurgel, Seoane, Nicolás Fernando, da Rosa Oliveira, Nicole, Megale, Nicoli, Pasqualotto, Nielson, Cáceres, Nilton Carlos, Peroni, Nivaldo, Zanella, Noeli, Pays, Olivier, Arimoro, Omolabake Alhambra Silva, Acevedo-Charry, Orlando, de Almeida Curi, Nelson Henrique, Pinha, Patricia Ribeiro Salgado, Perovic, Pablo, Gonçalves, Pablo Rodrigues, Santos, Paloma Marques, de Goés Brennand, Pamella Gusmão, Rogeri, Patrícia Kerches, Ribeiro, Patrícia Rosas, da Rocha, Patrício Adriano, de Lázari, Patrick Ricardo, Pedreira, Paula Anabel, Pinheiro, Paula Fabiana, Lira, Paula Koeler, Ferreira, Paula Modenesi, Martin, Paula Sanches, de Tarso Zuquim Antas, Paulo, Marinho, Paulo Henrique, Ruffino, Paulo Henrique Peira, Camargo, Paulo Henrique S. A., Filho, Paulo Landgref, Mangini, Paulo Rogério, Farias, Patrick, Cordeiro-Estrela, Pedro, de Faria Peres, Pedro Henrique, Galetti, Pedro Manoel, Ramírez-Bautista, Pedro, de Almeida Maués, Paula Cristina Rodrigues, Renaud, Pierre-Cyril, Sartorello, Ricardo, de Barros, Pollyanna Alves, Lombardi, Pryscilla Moura, Bessa, Rafael, Arroyo-Gerala, Paulina, de Souza, Rafael Cerqueira Castro, Zenni, Rafael D., Peredo, Rafael Flores, Hoogesteijn, Rafael, Loyola, Rafael, Alves, Rafael Souza Cruz, de Paula Rodarte, Raisa Reis, Silva, Ramon Lima, de Oliveira, Ramonna, Beltrão-Mendes, Raone, de Macêdo Alencar, Raony, da Silva, Raquel Costa, Pedroso, Rayssa, Sampaio, Rebeca Ferreira, Ribeiro, Renan Lieto Alves, Pardini, Renata, Bonikowski, Renata Twardowsky Ramalho, Pagotto, Renata Valls, Dias, Ricardo Augusto, Bassini-Silva, Ricardo, Arrais, Ricardo Corassa, Sampaio, Ricardo, de Cassia Bianchi, Rita, Paolino, Roberta Montanheiro, Fusco-Costa, Roberto, Trovati, Roberto Guilherme, Hack, Robson Odeli Espíndola, de Arruda Mauro, Rodiney, de Almeida Nobre, Rodrigo, Gessulli, Rodrigo Delmonte, Pérez, Rodrigo León, Massara, Rodrigo Lima, da Silva, Rodrigo Medina Fróes, de Paula, Rogério Cunha, da Cunha, Rogério Grassetto Teixeira, Costa, Rômulo Theodoro, Marques, Rosane Vera, Morato, Ronaldo Gonçalves, Bovendorp, Ricardo S., da Paixão Dornas, Rubem Augusto, Andrade, Rubia Santana, Siciliano, Salvatore, Guaragni, Samara Arsego, Rolim, Samir Gonçalves, Astete, Samuel, Cavalcanti, Sandra, Hartz, Sandra Maria, Carvalho, Santiago, Cortez, Sara, de Sousa, Saulo Meneses Silvestre, Ballari, Sebastián A., Lima, Saulo Ramos, Cirignoli, Sebastián, García-R, Sebastian, Bazilio, Sérgio, Torres, Sergio Solari, Franco, Silvana Back, Martins, Simone Rebouças, de Bustos, Soledad, Age, Stefani Gabrieli, Ferrari, Stephen Francis, Francisco, Talitha Mayumi, Micheletti, Tatiane, da Silva Godim, Tayanna Medonça, Luiz, Thais Guimaraes, de Freitas, Thales Renato Ochotorena, Rodrigues, Thiago Ferreira, Piovezan, Ubiratan, Barcos, Umberto Cotrim, Onofrio, Valeria Castilho, Martin-Albarracin, Valeria L., Towns, Valeria, Araújo, Valquíria Cabral, Kanaan, Vanessa, Daga, Vanessa Salete, Boere, Vanner, de Araujo, Verônica Parente Gomes, Benitez, Verónica Victoria, Leandro-Silva, Victor, Geraldi, Vilma Clarice, Alberici, Vinicius, Bastazini, Vinícius Augusto Galvão, de Oliveira Gasparotto, Vinícius Peron, Orsini, Vinícius Santana, da Silva, Virgínia Santiago, Bonzi, Viviana Rojas, Pereira, Vinicius José Alves, Layme, Viviane Maria Guedes, da Silva, Victor Hugo Duarte, Tomas, Walfrido Moraes, De Almeida Moreira, Thamy, Martins, Waldney Pereira, de Moraes Pires, Walna Micaelle, Hannibal, Wellington, Dáttilo, Wesley, Mottin, Viviane, Endo, Whaldener, Bercê, William, Carvalho, William Douglas, Magnusson, William, Akkawi, Paula, Di Blanco, Yamil, Amaral, Paulo Roberto, Ramos, Yan Gabriel Celli, Rodríguez-Calderón, Yenifer G., Mendes, Yuri Raia, Ribeiro, Yuri Geraldo Gomes, Campos, Zilca, Galetti, Mauro, and Ribeiro, Milton Cezar

Published
2020

135. NEOTROPICAL CARNIVORES : a data set on carnivore distribution in the Neotropics

Author

Nagy-Reis, Mariana B., de Faria Oshima, Júlia Emi, Kanda, Claudia Zukeran, Palmeira, Francesca Belem Lopes, de Melo, Fabiano Rodrigues, Morato, Ronaldo Gonçalves, Bonjorne, Lilian, Magioli, Marcelo, Leuchtenberger, Caroline, Rohe, Fabio, Lemos, Frederico Gemesio, Martello, Felipe, Alves-Eigenheer, Milene, da Silva, Rafaela Aparecida, dos Santos, Juliana Silveira, Priante, Camila Fátima, Bernardo, Rodrigo, Rogeri, Patricia, Assis, Julia Camara, Gaspar, Lucas Pacciullio, Tonetti, Vinicius Rodrigues, Trinca, Cristiano Trapé, de Souza Ribeiro, Adauto, Bocchiglieri, Adriana, Hass, Adriani, Canteri, Adriano, Chiarello, Adriano Garcia, Paglia, Adriano Pereira, Pereira, Adriele Aparecida, de Souza, Agnis Cristiane, Gatica, Ailin, Medeiro, Akyllam Zoppi, Eriksson, Alan, Costa, Alan Nilo, González-Gallina, Alberto, Yanosky, Alberto A., de la Cruz, Alejandro Jesus, Bertassoni, Alessandra, Bager, Alex, Bovo, Alex Augusto Abreu, Mol, Alexandra Cravino, Bezerra, Alexandra Maria Ramos, Percequillo, Alexandre, Vogliotti, Alexandre, Lopes, Alexandre Martins Costa, Keuroghlian, Alexine, Hartley, Alfonso Christopher Zúñiga, Devlin, Allison L., de Paula, Almir, García-Olaechea, Alvaro, Sánchez, Amadeo, Aquino, Ana Carla Medeiros Morato, Srbek-Araujo, Ana Carolina, Ochoa, Ana Cecilia, Tomazzoni, Ana Cristina, Lacerda, Ana Cristyna Reis, de Faria Bacellar, Ana Elisa, Campelo, Ana Kellen Nogueira, Victoria, Ana María Herrera, de Oliveira Paschoal, Ana Maria, Potrich, Ana Paula, Gomes, Ana Paula Nascimento, Olímpio, Ana Priscila Medeiros, Costa, Ana Raissa Cunha, de Almeida Jácomo, Anah Tereza, Calaça, Analice Maria, Jesus, Anamélia Souza, de Barros Barban, Ananda, Feijó, Anderson, Pagoto, Anderson, Rolim, Anderson Claudino, Hermann, Andiara Paula, de Castro e Souza, Andiara Silos Moraes, Alonso, André Chein, Monteiro, André, Mendonça, André Faria, Luza, André Luís, Moura, André Luis Botelho, da Silva, André Luiz Ferreira, Lanna, Andre Monnerat, Antunes, Andre Pinassi, Nunes, André Valle, Dechner, Andrea, Carvalho, Andrea Siqueira, Novaro, Andres Jose, Scabin, Andressa Barbara, Gatti, Andressa, Nobre, Andrezza Bellotto, Montanarin, Anelise, Deffaci, Ângela Camila, de Albuquerque, Anna Carolina Figueiredo, Mangione, Antonio Marcelo, Pinto, Antonio Millas Silva, Pontes, Antonio Rossano Mendes, Bertoldi, Ariane Teixeira, Calouro, Armando Muniz, Fernandes, Arthur, Ferreira, Arystene Nicodemo, Ferreguetti, Atilla Colombo, Rosa, Augusto Lisboa Martins, Banhos, Aureo, da Silva de Souza Francisco, Beatriz, Cezila, Beatriz Azevedo, de Mello Beisiegel, Beatriz, de Thoisy, Benoit, Ingberman, Bianca, dos Santos Neves, Bianca, Pereira-Silva, Brenda, de Camargo, Bruna Bertagni, da Silva Andrade, Bruna, Santos, Bruna Silva, Leles, Bruno, Campos, Bruno Augusto Torres Parahyba, Kubiak, Bruno Busnello, de Albuquerque França, Bruno Rodrigo, Saranholi, Bruno Henrique, Mendes, Calebe Pereira, Devids, Camila Cantagallo, Pianca, Camila, Rodrigues, Camila, Islas, Camila Alvez, de Lima, Camilla Angélica, de Lima, Camilo Ribeiro, Gestich, Carla Cristina, Tedesco, Carla Denise, De Angelo, Carlos, Fonseca, Carlos, Hass, Carlos, Peres, Carlos A., Kasper, Carlos Benhur, Durigan, Carlos Cesar, Fragoso, Carlos Eduardo, Verona, Carlos Eduardo, Rocha, Carlos Frederico Duarte, Salvador, Carlos Henrique, Vieira, Carlos Leonardo, Ruiz, Carmen Elena Barragán, Cheida, Carolina Carvalho, Sartor, Caroline Charão, da Costa Espinosa, Caroline, Fieker, Carolline Zatta, Braga, Caryne, Sánchez-Lalinde, Catalina, Machado, Cauanne Iglesias Campos, Cronemberger, Cecilia, Luna, Cecília Licarião, Del Vechio, Christine, Bernardo, Christine Steiner S., Hurtado, Cindy Meliza, Lopes, Cíntia M., da Rosa, Clarissa Alves, Cinta, Claudia Cristina, Costa, Claudia Guimaraes, Zárate-Castañeda, Claudia Paola, Novaes, Claudio Leite, Jenkins, Clinton N., Seixas, Cristiana Simão, Martin, Cristiane, Zaniratto, Cristiane Patrícia, López-Fuerte, Cristina Fabiola, da Cunha, Cristina Jaques, De-Carvalho, Crizanto Brito, Chávez, Cuauhtémoc, Santos, Cyntia Cavalcante, Polli, Daiana Jeronimo, Buscariol, Daiane, Carreira, Daiane Cristina, Galiano, Daniel, Thornton, Daniel, da Silva Ferraz, Daniel, Lamattina, Daniela, Moreno, Daniele Janina, Moreira, Danielle Oliveira, Farias, Danilo Augusto, Barros-Battesti, Darci Moraes, Tavares, Davi Castro, Braga, David Costa, Gaspar, Denise Alemar, Friedeberg, Diana, Astúa, Diego, Silva, Diego Afonso, Viana, Diego Carvalho, Lizcano, Diego J., Varela, Diego M., Loretto, Diogo, Gräbin, Diogo Maia, Eaton, Donald P., da Silva, Douglas Machado, de Matos Dias, Douglas, Camara, Edeltrudes Maria Valadares Calaça, Barbier, Eder, Chávez-González, Edgar, Rocha, Ednaldo Cândido, de Souza Lima, Edson, Carrano, Eduardo, Eizirik, Eduardo, Nakano-Oliveira, Eduardo, Rigacci, Eduardo Delgado, Santos, Eduardo Marques, Venticinque, Eduardo Martins, Alexandrino, Eduardo Roberto, Ribeiro, Edvandro Abreu, Setz, Eleonore, Rocha, Eliana César Laranjeira Duarte, Carvalho, Elildo Alves Ribeiro, Rechenberg, Elisabete, da Costa Fraga, Elmary, Mendonça, Eloisa Neves, D’Bastiani, Elvira, Isasi-Catalá, Emiliana, Guijosa-Guadarrama, Emiliano, Ramalho, Emiliano Esterci, González, Enrique, Hasui, Érica, Saito, Erica Naomi, Fischer, Erich, Aguiar, Erick Francisco, Rocha, Erick Sekiama, Nambo, Erik Daniel Martínez, de la Peña-Cuéllar, Erika, Castro, Érika Paula, de Freitas, Evellyn Borges, Pedó, Ezequiel, Rocha, Fabiana Lopes, Girardi, Fabiane, de Aguiar Pereira, Fabiane, Soares, Fábio Angelo Melo, de Oliveira Roque, Fabio, Díaz-Santos, Fabio Gabriel, Patiu, Fabio Mello, do Nascimento, Fabio Oliveira, Ferreira, Fabíola Keesen, Diaz-Santos, Fabricio, Fantacini, Felipe Moreli, Pedrosa, Felipe, da Silva, Felipe Pessoa, Velez-Garcia, Felipe, Gomes, Felipe Bittioli R., da Silva, Fernanda Guedes, Michalski, Fernanda, de Azevedo, Fernanda Cavalcanti, de Barros, Fernanda Cristina, da Silva Santos, Fernanda, Abra, Fernanda Delborgo, do Passo Ramalho, Fernanda, Hatano, Fernanda Martins, Anaguano-Yancha, Fernando, Gonçalves, Fernando, Pedroni, Fernando, Passos, Fernando C., de Castro Jacinavicius, Fernando, m, Fernando César Gonçalves Bonfi, Puertas, Fernando Henrique, Contreras-Moreno, Fernando M., Tortato, Fernando Rodrigo, Santos, Filipe Martins, Chaves, Flávia Guimarães, Tirelli, Flavia Pereira, Boas, Flávio Eduardo Vilas, Rodrigues, Flavio Henrique Guimarães, Ubaid, Flávio Kulaif, Grotta-Neto, Francisco, Palomares, Francisco, Souza, Franco Leandro, Costa, Francys Emanuelle, França, Frederico G. R., Pinto, Fredy Ramírez, Aguiar, Gabriel Lima, Hofmann, Gabriel Selbach, Heliodoro, Gabriela, Duarte, Gabriela Teixeira, de Andrade, Gabrielle Ribeiro, Beca, Gabrielle, Zapata-Ríos, Galo, Giné, Gastón Andrés Fernandez, Powell, George V. N., Fernandes, Geraldo Wilson, Forero-Medina, German, Melo, Geruza L., Santana, Gindomar Gomes, Ciocheti, Giordano, Alves, Giselle Bastos, de Oliveira Souto, Glauber Henrique Borges, Villarroel, Glenda Jéssica, de Oliveira Porfirio, Grasiela Edith, Batista, Graziele Oliveira, Behling, Greici Maia, Crespo, Guido Marcos Ayala, de Miranda Mourão, Guilherme, Rezende, Guilherme Zamarian, da Costa Toledo, Gustavo Alves, Herrera, Heitor Miraglia, Prado, Helena Alves, de Godoy Bergallo, Helena, Secco, Helio, Rajão, Henrique, Roig, Henrique Llacer, Concone, Henrique Villas Boas, Duarte, Herbert, Ermenegildo, Hiago, Neto, Hipólito Ferreira Paulino, Quigley, Howard, Lemos, Hudson Macedo, Cabral, Hugo, Fernandes-Ferreira, Hugo, del Castillo, Hugo Fernando, Ribeiro, Igor Kintopp, Coelho, Igor Pfeifer, Franceschi, Ingridi Camboim, Melo, Isabel, Oliveira-Bevan, Isabella, Mourthe, Italo, Bernardi, Itiberê, de la Torre, J. Antonio, Marinho-Filho, Jader, Martinez, Jaime, Perez, Jaime Xavier Palacios, Pérez-Torres, Jairo, Bubadué, Jamile, Silveira, Jana Rangel, Seibert, Jardel Brandão, Oliveira, Jasmim Felipe, Assis, Jasmine Resende, De la Maza, Javier, Hinojosa, Javier, Metzger, Jean Paul, Thompson, Jeff rey James, Svenning, Jens-Christian, Gouvea, Jéssica Abonizio, Souza, Jesus Rodrigues Domingos, Pincheira-Ulbrich, Jimmy, Nodari, Joana Zorzal, Miranda, João, Gebin, João Carlos Zecchini, Giovanelli, João Gabriel Ribeiro, Junior, João Luiz Rossi, Favoretti, João Paulo Pandini, Villani, João Paulo, Just, João Paulo Gava, Souza-Alves, João Pedro, Costa, Jociel Ferreira, Rocha, Joedison, Polisar, John, Sponchiado, Jonas, Cherem, Jorge José, Marinho, Jorge Reppold, Ziegler, Jörn, Cordeiro, José, de Sousa e Silva Júnior, José, Rodriguez-Pulido, Jose Ariel, dos Santos, José Carlos Chaves, dos Reis Júnior, José Clemensou, Mantovani, Jose Eduardo, Ramírez, José Fernando Moreira, Sarasola, José Hernán, Cartes, Jose Luis, Duarte, José Maurício Barbanti, Longo, Jose Milton, Dantas, José Oliveira, Venancio, José Otávio, de Matos, Jose Roberto, Pires, José Salatiel Rodrigues, Hawes, Joseph E., Santos, Joyce Gonçalves, Ruiz-Esparza, Juan, Lanfranco, Juan Andrés Martínez, Rudolf, Juan Carlos, Charre-Medellin, Juan Felipe, Zanón-Martínez, Juan Ignacio, Peña-Mondragón, Juan L., Krauer, Juan Manuel Campos, Arrabal, Juan Pablo, Beduschi, Julia, Ilha, Júlia, Mata, Julia Carolina, Bonanomi, Juliana, Jordao, Juliana, de Almeida-Rocha, Juliana Monteiro, Pereira-Ribeiro, Juliane, Zanoni, Juliani Bruna, Bogoni, Juliano André, Pacheco, Julio Javier Chacón, Palma, Kamila Marianne Contreras, Strier, Karen B., Castro, Karen Giselle Rodriguez, Didier, Karl, Schuchmann, Karl L., Chávez-Congrains, Karla, Burs, Kathrin, Ferraz, Katia M. P. M. B., Juarez, Keila Macfadem, Flesher, Kevin, Morais, Kimberly Danielle Rodrigues, Lautenschlager, Laís, Grossel, Laís Aline, Dahmer, Lais Camila, de Almeida, Lana Resende, Fornitano, Larissa, de Nazaré Barros Barbosa, Larissa, Bailey, Larissa L., Barreto, Larissa Nascimento, Villalba, Laura Magnolia, Magalhães, Laura Martins, Cullen, Laury, Marques, Leandro, Costa, Leonardo Marques, Silveira, Leandro, Moreira, Leandro Santana, Sartorello, Leonardo, de Carvalho Oliveira, Leonardo, de Paula Gomes, Leonardo, dos Santos Aguiar, Leonardo, da Silva, Leonardo Henrique, Mendonça, Leonardo Siqueira, Valenzuela, Leonor Adriana, Benavalli, Letícia, Dias, Leticia Coutinho Sangy, Munhoes, Leticia Prado, Catenacci, Lilian, Rampim, Lilian Elaine, de Paula, Lívia Maria, Nascimento, Lorena Anne, da Silva, Lucas Gonçalves, Quintilham, Lucas, Segura, Lucas Ramis, Perillo, Lucas Neves, Rezende, Lucas Rodrigo, Retta, Lucía Martínez, Rojas, Lucia Nathaly Stefany, Guimarães, Luiza Neves, Araújo, Luciana, da Silva, Luciana Zago, de Alagão Querido, Luciano Carramaschi, Verdade, Luciano Martins, Perera-Romero, Lucy E., Carvalho-Leite, Ludimila Juliele, Hufnagel, Ludmila, Bernardo, Luis Renato Rezende, Oliveira, Luiz Flamarion, Santos, Luiz Gustavo Rodrigues Oliveira, Lyra, Luiz Henrique, Borges, Luiz Henrique Medeiros, Severo, Magnus Machado, Benchimol, Maíra, Quatrocchi, Maira Giuliana, Martins, Maísa Ziviani Alves, Rodrigues, Manoel, Penteado, Marcel José Franco, Moraes, Marcela Figuerêdo Duarte, Oliveira, Marcela Alvares, Lima, Marcela Guimarães Moreira, do Carmo Pônzio, Marcella, Cervini, Marcelo, da Silva, Marcelo, Passamani, Marcelo, Villegas, Marcelo Alejandro, dos Santos Junior, Marcelo Augusto, Yamane, Marcelo Hideki, de Assis Jardim, Marcia Maria, de Oliveira, Márcio Leite, Silveira, Marcos, Tortato, Marcos Adriano, de Souza Lima Figueiredo, Marcos, Vieira, Marcus Vinícius, Sekiama, Margareth L., da Silva, Maria Augusta Andrade, Nuñez, María Beatriz, Siviero, Maria Brunini, Carrizo, María Celina, Barros, Maria Claudene, Barros, Marília A. S., do Rosário, Maria Cristina Ferreira, Mora, María Cristina Peñuela, del Carmen Fleytas Jover, Maria, de Freitas Morandi, Maria Elisa, Huerta, Maria Emilia, Fernandes, Maria Emília Avelar, Siñani, Maria Estela Viscarra, Iezzi, María Eugenia, Pereira, Maria João Ramos, Vinassa, Maria Laura Gomez, Lorini, Maria Lucia, Jorge, Maria Luisa S. P., Morini, Maria Santina, Guenther, Mariana, Landis, Mariana Bueno, Vale, Mariana M., Xavier, Mariana Sampaio, Tavares, Mariana Silva, Kaizer, Mariane, Velilla, Marianela, Bergel, Mariano Maudet, Hartmann, Marilia Teresinha, da Silva, Marina Lima, Rivero, Marina, Munerato, Marina Salles, da Silva, Marina Xavier, Zanin, Marina, Marques, Marinêz Isaac, Haberfeld, Mario, Di Bitetti, Mario S., Bowler, Mark, Galliez, Maron, Ortiz-Moreno, Martha Lucia, Buschiazzo, Martin, Montes, Martin Alejandro, Alvarez, Martín R., Melo-Dias, Mateus, Reis, Matheus Gonçalves, Corrêa, Matheus Rocha Jorge, Tobler, Mathias W., Gompper, Matthew E., Nunez-Regueiro, Mauricio, Vecchi, Maurício Brandão, Graipel, Maurício Eduardo, Godoi, Mauricio Neves, Moura, Mauricio O., Konzen, Maurício Quoos, Pardo, Maximiliano Víctor, Beltrão, Mayara Guimarães, Mongelli, Melissa, Almeida, Meyline Oliveira, Gilmore, Michael P., Schutte, Michel, Faria, Michel Barros, Luiz, Micheli Ribeiro, de Paula, Milton, Hidalgo-Mihart, Mircea G., Perilli, Miriam Lucia Lages, Freitas-Junior, Mozart Caetano, da Silva, Murillo Prado, Denkiewicz, Natalia Mariana, Torres, Natalia Mundim, ers, Natalie Olifi, Da Silva De Lima, Natani, de Albuquerque, Natasha Moraes, Canassa, Nathália Fernandes, de Almeida Curi, Nelson Henrique, Prestes, Nêmora Pauletti, Falconi, Nereyda, Gurgel-Filho, Newton Mota, Pasqualotto, Nielson, Cáceres, Nilton C., Peroni, Nivaldo, de la Sancha, Noé U., Zanella, Noeli, Monroy-Vilchis, Octavio, Pays, Olivier, Arimoro, Omolabake Alhambra, Ribeiro, Otávio Santi, Villalva, Pablo, Gonçalves, Pablo Rodrigues, Santos, Paloma Marques, Brennand, Pamella, Rocha, Patrício, Akkawi, Paula, Cruz, Paula, Ferreira, Paula Modenesi, Prist, Paula Ribeiro, Martin, Paula Sanches, Arroyo-Gerala, Paulina, Auricchio, Paulo, Hartmann, Paulo Afonso, de Tarso Zuquim Antas, Paulo, Camargo, Paulo H. S. A., Marinho, Paulo Henrique, ino, Paulo Henrique Peira Ruff, Prado, Paulo Inácio, Martins, Paulo Wesley, Cordeiro-Estrela, Pedro, Luna, Pedro, Sarmento, Pedro, Peres, Pedro Henrique Faria, Galetti, Pedro Manoel, de Castilho, Pedro Volkmer, Renaud, Pierre-Cyril, Scarascia, Pietro Oliveira, De Paula Andrade Cobra, Priscilla, Lombardi, Pryscilla Moura, Bessa, Rafael, Reyna-Hurtado, Rafael, de Souza, Rafael Cerqueira Castro, Hoogesteijn, Rafael Jan, Alves, Rafael Souza Cruz, Romagna, Rafael Spilere, Silva, Ramon Lima, de Oliveira, Ramonna, Beltrão-Mendes, Raone, de Macêdo Alencar, Raony, Coutinho, Raphaella, da Silva, Raquel Costa, Grando, Raquel L. S. C. Caribé, Matos, Rayanne Gama, da Silva Araujo, Raylenne, Pedroso, Rayssa Faria, Durães, Rayssa Mainette Nantes, Ribeiro, Renan Lieto Alves, Chagas, Renata, Miotto, Renata, Bonikowski, Renata Twardowsky Ramalho, Muylaert, Renata Lara, Pagotto, Renata Valls, Hilário, Renato Richard, Faria, Rhayssa Terra, Bassini-Silva, Ricardo, Sampaio, Ricardo, Sartorello, Ricardo, Pires, Ricardo Araújo, Hatakeyama, Richard, de Cassia Bianchi, Rita, Buitenwerf, Robert, Wallace, Robert, Paolino, Roberta Montanheiro, Fusco-Costa, Roberto, Trovati, Roberto Guilherme, Tomasi, Roberto Junior, Hack, Robson Odeli Espíndola, Magalhães, Rodolfo Assis, de Albuquerque Nobrega, Rodrigo Affonso, de Almeida Nobre, Rodrigo, Massara, Rodrigo Lima, Fróes, Rodrigo Medina, da Cunha Araújo, Rodrigo Paulo, Pérez, Rodrigo Raúl León, Jorge, Rodrigo Silva Pinto, de Paula, Rogério Cunha, Martins, Rogério, da Cunha, Rogério Grassetto Teixeira, Costa, Rômulo, Alves, Romulo Romeu Nobrega, Garcia-Anleu, Rony, Almeida, Rony Peterson Santos, Loachamín, Rubén Darío Cueva, Andrade, Rúbia Santana, Juárez, Rugieri, Bordallo, Samanta Uchôa, Guaragni, Samara Arsego, Carrillo-Percastegui, Samia E., Seber, Samile, Astete, Samuel, Hartz, Sandra Maria, Espinosa, Santiago, Solas, Sara Álvarez, Lima, Saulo Ramos, Silvestre, Saulo Meneses, de Souza Machado, Sávio Augusto, Keuroghlian-Eaton, Sean, Albanesi, Sebastian, Costa, Sebastián Andrés, Bazilio, Sergio, Mendes, Sergio Lucena, Althoff, Sérgio Luiz, Pinheiro, Shery Duque, Napiwoski, Silvio Junior, Ramirez, Sixto Fernández, Talamoni, Sonia Aparecida, Age, Stefani Gabrieli, Pereira, Taiguã Corrêa, Moreira, Tainah Cruz, Trigo, Tatiane Campos, da Silva Gondim, Tayana Mendonça, Karlovic, Thamíris Christina, Cavalcante, Thiago, Maccarini, Thiago, Rodrigues, Thiago Ferreira, de Camargo e Timo, Thiago Philipe, Monterrubio, Tiberio Cesar, Piovezan, Ubiratan, Cavarzere, Vagner, Towns, Valeria, Onofrio, Valeria Castilho, Oliveira, Valeska Buchemi, Araújo, Valquíria Cabral, Melo, Vanessa Lazaro, Kanaan, Vanessa Tavares, Iwakami, Victor, Vale, Victor, Filho, Vilmar Picinatto, Alberici, Vinicius, Bastazini, Vinicius A. G., Orsini, Vinícius Santana, da Silva Braz, Vivian, Bonzi, Viviana B. Rojas, Layme, Viviane Maria Guedes, Gaboardi, Viviane Telles Rodrigues, Rocha, Vlamir José, Martins, Waldney Pereira, Tomas, Walfrido Moraes, Hannibal, Wellington, Dáttilo, Wesley, Silva, Wesley R., Endo, Whaldener, Bercê, William, de la Cruz, Yaribeth Bravata, Ribeiro, Yuri Geraldo Gomes, Galetti, Mauro, and Ribeiro, Milton C.

Published
2020

138. Real-time collision detection method for deformable bodies

Author

Paglia, Claudio

Subjects
Computer Science - Computational Geometry, Computer Science - Graphics
Abstract

This paper presents a real-time solution for collision detection between objects based on the physics properties. Traditional approaches on collision detection often rely on the geometric relationships that computing the intersections between polygons. Such technique is very computationally expensive when applied for deformable objects. As an alternative, we approximate the 3D mesh in an spherical surface implicitly. This allows us to perform a coarse-level collision detection at extremely fast speed. Then a dynamic programming based procedure is applied to identify the collision in fine details. Our method demonstrates better prevention to collision tunnelling and works more efficiently than the state-of-the-arts., Comment: Computer-Aided Design, 2015

Published
2016

139. The Road Less Traveled

Author

Paglia, Geraldine

Subjects
News, opinion and commentary, Sports and fitness, Sacred Heart University
Abstract

Byline: Geraldine Paglia If you open Google Maps and type a destination in, you may get three different ways to get to the same place. Each route offers a different [...]

Published
2024

142. Circulating Tumor Cells Adhesion: Application in Biosensors

Author

Eduarda B. Paglia, Estela K. K. Baldin, Gabriela P. Freitas, Thalyta S. A. Santiago, João B. M. R. Neto, Jorge V. L. Silva, Hernandes F. Carvalho, and Marisa M. Beppu

Subjects
electrochemical biosensor, circulating tumor cells, CD44, integrins, EpCAm, Biotechnology, TP248.13-248.65
Abstract

The early and non-invasive diagnosis of tumor diseases has been widely investigated by the scientific community focusing on the development of sensors/biomarkers that act as a way of recognizing the adhesion of circulating tumor cells (CTCs). As a challenge in this area, strategies for CTCs capture and enrichment currently require improvements in the sensors/biomarker’s selectivity. This can be achieved by understanding the biological recognition factors for different cancer cell lines and also by understanding the interaction between surface parameters and the affinity between macromolecules and the cell surface. To overcome some of these concerns, electrochemical sensors have been used as precise, fast-response, and low-cost transduction platforms for application in cytosensors. Additionally, distinct materials, geometries, and technologies have been investigated to improve the sensitivity and specificity properties of the support electrode that will transform biochemical events into electrical signals. This review identifies novel approaches regarding the application of different specific biomarkers (CD44, Integrins, and EpCAm) for capturing CTCs. These biomarkers can be applied in electrochemical biosensors as a cytodetection strategy for diagnosis of cancerous diseases.

Published
2023
Full Text
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143. Morphotectonic Features in the Middle Biferno River Valley: The Case of Ponte Liscione Dam (Central Italy)

Author

Vania Mancinelli, Giorgio Paglia, Marco Emanuele Discenza, Mariacarmela Minnillo, Francesco Cerrone, Marzia Rizzo, and Enrico Miccadei

Subjects
multitemporal and GIS analysis, structural-geomorphological field mapping, morphotectonics, Central Italy, Geology, QE1-996.5
Abstract

This paper presents a morphometric and structural-geomorphological approach to identifying morphotectonic features across an area underlain by lithologies that do not easily record tectonic deformations but are widely affected by seismic activity. The middle Biferno River Valley (Central Italy) was chosen as a study area. It was investigated through analyses performed from the drainage basin scale (Biferno River) to the local scale (Ponte Liscione Dam). This methodological approach was applied to investigate the impact of morphotectonic processes in the study area, providing a geomorphology-based contribution to landscape evolution. The aim of the work was to discriminate the main morphotectonic elements acting in the complex tectonic framework of the study area by means of a combination of morphometric, morphotectonic, and structural-geomorphological analyses. The resulting data allowed us to identify three main systems of tectonic elements (F1, F2, and F3), which are attributable to compressive and extensional kinematics, as already reported in previous thematic studies. The tectonic setting reflects the geodynamic framework of the Periadriatic region, as highlighted by the distribution of seismogenic sources and the historical to recent seismicity. Finally, the present work could act as a valuable scientific tool for any geomorphological studies aimed at better defining the impact of morphotectonic processes in similar tectonically active regions hosting important and strategic artificial dams.

Published
2023
Full Text
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147. Quantitative time-course metabolomics in human red blood cells reveal the temperature dependence of human metabolic networks

Author

Yurkovich, James T, Zielinski, Daniel C, Yang, Laurence, Paglia, Giuseppe, Rolfsson, Ottar, Sigurjónsson, Ólafur E, Broddrick, Jared T, Bordbar, Aarash, Wichuk, Kristine, Brynjólfsson, Sigurður, Palsson, Sirus, Gudmundsson, Sveinn, and Palsson, Bernhard O

Subjects
Erythrocytes, Glycolysis, Humans, In Vitro Techniques, Metabolomics, Temperature, computational biology, erythrocyte, metabolism, metabolomics, systems biology, Chemical Sciences, Biological Sciences, Medical and Health Sciences, Biochemistry & Molecular Biology
Abstract

The temperature dependence of biological processes has been studied at the levels of individual biochemical reactions and organism physiology (e.g. basal metabolic rates) but has not been examined at the metabolic network level. Here, we used a systems biology approach to characterize the temperature dependence of the human red blood cell (RBC) metabolic network between 4 and 37 °C through absolutely quantified exo- and endometabolomics data. We used an Arrhenius-type model (Q10) to describe how the rate of a biochemical process changes with every 10 °C change in temperature. Multivariate statistical analysis of the metabolomics data revealed that the same metabolic network-level trends previously reported for RBCs at 4 °C were conserved but accelerated with increasing temperature. We calculated a median Q10 coefficient of 2.89 ± 1.03, within the expected range of 2-3 for biological processes, for 48 individual metabolite concentrations. We then integrated these metabolomics measurements into a cell-scale metabolic model to study pathway usage, calculating a median Q10 coefficient of 2.73 ± 0.75 for 35 reaction fluxes. The relative fluxes through glycolysis and nucleotide metabolism pathways were consistent across the studied temperature range despite the non-uniform distributions of Q10 coefficients of individual metabolites and reaction fluxes. Together, these results indicate that the rate of change of network-level responses to temperature differences in RBC metabolism is consistent between 4 and 37 °C. More broadly, we provide a baseline characterization of a biochemical network given no transcriptional or translational regulation that can be used to explore the temperature dependence of metabolism.

Published
2017

148. Elucidating dynamic metabolic physiology through network integration of quantitative time-course metabolomics.

Author

Bordbar, Aarash, Yurkovich, James T, Paglia, Giuseppe, Rolfsson, Ottar, Sigurjónsson, Ólafur E, and Palsson, Bernhard O

Subjects
Blood Platelets, Erythrocytes, Humans, Escherichia coli, Saccharomyces cerevisiae, Monte Carlo Method, Markov Chains, Algorithms, Models, Biological, Metabolic Networks and Pathways, Metabolomics, Metabolome, Workflow, Models, Biological
Abstract

The increasing availability of metabolomics data necessitates novel methods for deeper data analysis and interpretation. We present a flux balance analysis method that allows for the computation of dynamic intracellular metabolic changes at the cellular scale through integration of time-course absolute quantitative metabolomics. This approach, termed "unsteady-state flux balance analysis" (uFBA), is applied to four cellular systems: three dynamic and one steady-state as a negative control. uFBA and FBA predictions are contrasted, and uFBA is found to be more accurate in predicting dynamic metabolic flux states for red blood cells, platelets, and Saccharomyces cerevisiae. Notably, only uFBA predicts that stored red blood cells metabolize TCA intermediates to regenerate important cofactors, such as ATP, NADH, and NADPH. These pathway usage predictions were subsequently validated through 13C isotopic labeling and metabolic flux analysis in stored red blood cells. Utilizing time-course metabolomics data, uFBA provides an accurate method to predict metabolic physiology at the cellular scale for dynamic systems.

Published
2017

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