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4. Epidemiology and outcome research in CKD 5D

Author

L. Coentrao, C. Ribeiro, C. Santos-Araujo, R. Neto, M. Pestana, W. Kleophas, A. Karaboyas, Y. LI, J. Bommer, R. Pisoni, B. Robinson, F. Port, G. Celik, B. Burcak Annagur, M. Yilmaz, T. Demir, F. Kara, K. Trigka, P. Dousdampanis, N. Vaitsis, S. Aggelakou-Vaitsi, K. Turkmen, I. Guney, F. Turgut, L. Altintepe, H. Z. Tonbul, E. Abdel-Rahman, P. Sclauzero, G. Galli, G. Barbati, M. Carraro, G. O. Panzetta, M. Van Diepen, M. Schroijen, O. Dekkers, F. Dekker, A. Sikole, G. Severova- Andreevska, L. Trajceska, S. Gelev, V. Amitov, S. Pavleska- Kuzmanovska, H. Rayner, R. Vanholder, M. Hecking, B. Jung, M. Leung, F. Huynh, T. Chung, S. Marchuk, M. Kiaii, L. Er, R. Werb, C. Chan-Yan, M. Beaulieu, P. Malindretos, P. Makri, G. Zagkotsis, G. Koutroumbas, G. Loukas, E. Nikolaou, M. Pavlou, E. Gourgoulianni, M. Paparizou, M. Markou, E. Syrgani, C. Syrganis, J. Raimann, L. A. Usvyat, V. Bhalani, N. W. Levin, P. Kotanko, X. Huang, P. Stenvinkel, A. R. Qureshi, U. Riserus, T. Cederholm, P. Barany, O. Heimburger, B. Lindholm, J. J. Carrero, J. H. Chang, J. Y. Sung, J. Y. Jung, H. H. Lee, W. Chung, S. Kim, J. S. Han, K. Y. Na, A. Fragoso, A. Pinho, A. Malho, A. P. Silva, E. Morgado, P. Leao Neves, N. Joki, Y. Tanaka, M. Iwasaki, S. Kubo, T. Hayashi, Y. Takahashi, K. Hirahata, Y. Imamura, H. Hase, C. Castledine, J. Gilg, C. Rogers, Y. Ben-Shlomo, F. Caskey, J. S. Sandhu, G. S. Bajwa, S. Kansal, J. Sandhu, A. Jayanti, M. Nikam, L. Ebah, A. Summers, S. Mitra, J. Agar, A. Perkins, R. Simmonds, A. Tjipto, S. Amet, V. Launay-Vacher, M. Laville, A. Tricotel, C. Frances, B. Stengel, J.-Y. Gauvrit, N. Grenier, G. Reinhardt, O. Clement, N. Janus, L. Rouillon, G. Choukroun, G. Deray, A. Bernasconi, R. Waisman, A. P. Montoya, A. A. Liste, R. Hermes, G. Muguerza, R. Heguilen, E. L. Iliescu, V. Martina, M. A. Rizzo, P. Magenta, L. Lubatti, G. Rombola, M. Gallieni, C. Loirat, H. Mellerio, M. Labeguerie, B. Andriss, E. Savoye, M. Lassale, C. Jacquelinet, C. Alberti, Y. Aggarwal, J. Baharani, S. Tabrizian, S. Ossareh, M. Zebarjadi, P. Azevedo, F. Travassos, I. Frade, M. Almeida, J. Queiros, F. Silva, A. Cabrita, R. Rodrigues, C. Couchoud, J. Kitty, S. Benedicte, C. Fergus, C. Cecile, B. Sahar, V. Emmanuel, J. Christian, E. Rene, H. Barahimi, M. Mahdavi-Mazdeh, M. Nafar, M. Petruzzi, M. De Benedittis, M. Sciancalepore, L. Gargano, P. Natale, M. C. Vecchio, V. Saglimbene, F. Pellegrini, G. Gentile, P. Stroumza, L. Frantzen, M. Leal, M. Torok, A. Bednarek, J. Dulawa, E. Celia, R. Gelfman, J. Hegbrant, C. Wollheim, S. Palmer, D. W. Johnson, P. J. Ford, J. C. Craig, G. F. Strippoli, M. Ruospo, B. El Hayek, B. Hayek, E. Baamonde, E. Bosch, J. I. Ramirez, G. Perez, A. Ramirez, A. Toledo, M. M. Lago, C. Garcia-Canton, M. D. Checa, B. Canaud, B. Lantz, A. Granger-Vallee, P. Lertdumrongluk, N. Molinari, J. Ethier, M. Jadoul, B. Gillespie, C. Bond, S. Wang, T. Alfieri, P. Braunhofer, B. Newsome, M. Wang, B. Bieber, M. Guidinger, L. Zuo, X. Yu, X. Yang, J. Qian, N. Chen, J. Albert, Y. Yan, S. Ramirez, M. Beresan, A. Lapidus, M. Canteli, A. Tong, B. Manns, J. Craig, G. Strippoli, M. Mortazavi, B. Vahdatpour, S. Shahidi, A. Ghasempour, D. Taheri, S. Dolatkhah, A. Emami Naieni, M. Ghassami, M. Khan, K. Abdulnabi, P. Pai, M. Vecchio, M. A. Muqueet, M. J. Hasan, M. A. Kashem, P. K. Dutta, F. X. Liu, L. Noe, T. Quock, N. Neil, G. Inglese, M. Motamed Najjar, B. Bahmani, A. Shafiabadi, J. Helve, M. Haapio, P.-H. Groop, C. Gronhagen-Riska, P. Finne, R. Sund, M. Cai, S. Baweja, A. Clements, A. Kent, R. Reilly, N. Taylor, S. Holt, L. Mcmahon, M. Carter, F. M. Van der Sande, J. Kooman, R. Malhotra, G. Ouellet, E. L. Penne, S. Thijssen, M. Etter, A. Tashman, A. Guinsburg, A. Grassmann, C. Barth, C. Marelli, D. Marcelli, G. Von Gersdorff, I. Bayh, L. Scatizzi, M. Lam, M. Schaller, T. Toffelmire, Y. Wang, P. Sheppard, L. Neri, V. A. Andreucci, L. A. Rocca-Rey, S. V. Bertoli, D. Brancaccio, G. De Berardis, G. Lucisano, D. Johnson, A. Nicolucci, C. Bonifati, S. D. Navaneethan, V. Montinaro, M. Zsom, A. Bednarek-Skublewska, G. Graziano, J. N. Ferrari, A. Santoro, A. Zucchelli, G. Triolo, S. Maffei, S. De Cosmo, V. M. Manfreda, L. Juillard, A. Rousset, F. Butel, S. Girardot-Seguin, T. Hannedouche, M. Isnard, Y. Berland, P. Vanhille, J.-P. Ortiz, G. Janin, P. Nicoud, M. Touam, E. Bruce, B. Grace, P. Clayton, A. Cass, S. Mcdonald, Y. Furumatsu, T. Kitamura, N. Fujii, S. Ogata, H. Nakamoto, K. Iseki, Y. Tsubakihara, C.-C. Chien, J.-J. Wang, J.-C. Hwang, H.-Y. Wang, W.-C. Kan, N. Kuster, L. Patrier, A.-S. Bargnoux, M. Morena, A.-M. Dupuy, S. Badiou, J.-P. Cristol, J.-M. Desmet, V. Fernandes, F. Collart, N. Spinogatti, J.-M. Pochet, M. Dratwa, E. Goffin, J. Nortier, D. S. Zilisteanu, M. Voiculescu, E. Rusu, C. Achim, R. Bobeica, S. Balanica, T. Atasie, S. Florence, S. Anne-Marie, L. Michel, C. Cyrille, A. Strakosha, N. Pasko, S. Kodra, N. Thereska, A. Lowney, E. Lowney, R. Grant, M. Murphy, L. Casserly, T. O' Brien, W. D. Plant, J. Radic, D. Ljutic, V. Kovacic, M. Radic, K. Dodig-Curkovic, M. Sain, I. Jelicic, T. Hamano, C. Nakano, S. Yonemoto, A. Okuno, M. Katayama, Y. Isaka, M. Nordio, A. Limido, M. Postorino, M. Nichelatti, M. Khil, I. Dudar, V. Khil, I. Shifris, M. Momtaz, A. R. Soliman, M. I. El Lawindi, P. Dzekova-Vidimliski, S. Pavleska-Kuzmanovska, I. Nikolov, G. Selim, T. Shoji, R. Kakiya, N. Tatsumi-Shimomura, Y. Tsujimoto, T. Tabata, H. Shima, K. Mori, S. Fukumoto, H. Tahara, H. Koyama, M. Emoto, E. Ishimura, Y. Nishizawa, and M. Inaba

Subjects
Transplantation, medicine.medical_specialty, Nephrology, business.industry, Epidemiology, Medicine, business, Intensive care medicine, Outcome (game theory)
Published
2012

5. Clinical Nephrology - Epidemiology II

Author

H. Agnes, P. Kalman, A. Jozsef, B. Henrik, I. Mucsi, K. Kamata, T. Sano, S. Naito, T. Okamoto, C. Okina, M. Kamata, J. Murano, K. Kobayashi, M. Uchida, T. Aoyama, Y. Takeuchi, Y. Nagaba, H. Sakamoto, C. Torino, V. Panuccio, A. Clementi, M. Garozzo, G. Bonanno, R. Boito, G. Natale, T. Cicchetti, A. Chippari, D. Logozzo, G. Alati, S. Cassani, A. Sellaro, G. D'arrigo, G. Tripepi, A. Roberta, M. Postorino, F. Mallamaci, C. Zoccali, E. Buonanno, S. Brancaccio, V. Fimiani, P. Napolitano, R. Spadola, L. Morrone, B. DI Iorio, D. Russo, A. Betriu, M. Martinez-Alonso, T. Vidal, J. Valdivielso, E. Fernandez, F. Bernadette, B. Jean-Baptiste, L. Frimat, N. D. Madala, G. P. Thusi, N. Sibisi, B. G. Mazibuko, A. G. H. Assounga, N.-C. Tsai, H.-H. Wang, Y.-C. Chen, C.-C. Hung, S.-J. Hwang, H.-C. Chen, P. Branco, T. Adragao, R. Birne, A. R. Martins, R. Vizinho, A. Gaspar, M. J. Grilo, J. D. Barata, D. Bonhorst, P. Adragao, J. S. Kim, J. W. Yang, M. K. Kim, S. O. Choi, B. G. Han, N. Nathalie, E. Sunny, G. Glorieux, B. Daniela, B. Fellype, L. Sophie, L. Horst D, M. Ziad, V. Raymond, M. Yanai, K. Okada, K. Takeuchi, K. Nitta, S. Takahashi, M. Morena, I. Jaussent, A. Halkovich, A.-M. Dupuy, A.-S. Bargnoux, L. Chenine, H. Leray-Moragues, K. Klouche, H. Vernhet, B. Canaud, J.-P. Cristol, A. Shutov, V. Serov, J. Kuznetsova, M. Menzorov, D. Serova, L. Petrescu, A. Zugravu, C. Capusa, S. Stancu, S. Cinca, C. Anghel, D. Timofte, L. Medrihan, D. Ionescu, G. Mircescu, T.-W. Hsu, K.-L. Kuo, S.-C. Hung, D.-C. Tarng, S. Lee, I. Kim, D. Lee, H. Rhee, S. Song, E. Seong, I. Kwak, M. Holzmann, C. Gardell, A. Jeppsson, U. Sartipy, Y. Solak, M. I. Yilmaz, K. Caglar, M. Saglam, H. Yaman, A. Sonmez, H. U. Unal, M. Gok, A. Gaipov, M. Kayrak, T. Eyileten, S. Turk, A. Vural, L. DI Lullo, F. Floccari, R. Rivera, A. Granata, A. D'amelio, F. Logias, G. Otranto, M. Malaguti, A. Santoboni, F. Fiorini, T. Connor, D. Oygar, D. Nitsch, D. Gale, R. Steenkamp, G. H. Neild, P. Maxwell, I. Louise Hogsbro, B. Redal-Baigorri, B. Sautenet, J. M. Halimi, A. Caille, P. Goupille, B. Giraudeau, Y. Oguz, M. Yenicesu, H. Cetinkaya, Y. Ishimoto, T. Ohki, M. Sugahara, T. Kanemitsu, M. Kobayashi, L. Uchida, N. Kotera, S. Tanaka, T. Sugimoto, N. Mise, N. Miyazaki, J. Matsumoto, I. Murata, G. Yoshida, K. Morishita, H. Ushikoshi, K. Nishigaki, S. Ogura, S. Minatoguchi, R. Harvey, A. Ala, D. Banerjee, C. Farmer, J. Irving, H. Hobbs, T. Wheeler, B. Klebe, P. Stevens, G. Selim, O. Stojceva-Taneva, L. Tozija, N. Stojcev, S. Gelev, P. Dzekova-Vidimliski, S. Pavleska, A. Sikole, A. R. Qureshi, M. Evans, M. Stendahl, K. G. Prutz, C. G. Elinder, K. Tamagaki, H. Kado, M. Nakata, T. Kitani, N. Ota, R. Ishida, E. Matsuoka, Y. Shiotsu, M. Ishida, Y. Mori, M. Christelle, N. Rognant, D. Evelyne, F. Sophie, J. Laurent, L. Maurice, R. Silverwood, M. Pierce, D. Kuh, C. Savage, C. Ferro, D. G. Moniek, M. De Goeij, H. Nynke, O. Gurbey, R. Joris, D. Friedo, P. Clayton, B. Grace, A. Cass, S. Mcdonald, V. Lorenzo, M. Martin Conde, A. Dusso, J. M. Valdivielso, D. P. Roggeri, G. Cannella, M. Cozzolino, S. Mazzaferro, P. Messa, D. Brancaccio, R. De Souza Faria, N. Fernandes, J. Lovisi, M. Moura Marta, M. Reboredo, B. Do Vale Pinheiro, M. Bastos, F. Hundt, S. Pabst, C. Hammerstingl, T. Gerhardt, D. Skowasch, R. Woitas, A. A. Lopes, L. F. Silva, C. M. Matos, M. S. Martins, F. A. Silva, G. B. Lopes, F. Pizzarelli, P. Dattolo, S. Michelassi, C. Rossi, S. Bandinelli, M. Mieth, R. Mass, L. Ferrucci, S. Parisi, S. Arduino, R. Attini, F. Fassio, M. Biolcati, A. Pagano, C. Bossotti, M. Ferraresi, P. Gaglioti, T. Todros, G. B. Piccoli, T. M. Salgado, B. Arguello, S. I. Benrimoj, F. Fernandez-Llimos, P. Bailey, C. Tomson, Y. Ben-Shlomo, A. Santoro, P. Rucci, M. Mandreoli, F. Caruso, M. Corradini, M. Flachi, D. Gibertoni, A. Rigotti, G. Russo, M. Fantini, H. S. Mahapatra, S. Choudhury, G. Buxi, N. Sharma, Y. Gupta, V. Sekhar, N. Yanagisawa, M. Ando, A. Ajisawa, K. Tsuchiya, O. Janusz, M. Mikolaj, M. Jacek, R. Boleslaw, S. Prakash, R. Coffin, J. Schold, D. Einstadter, S. Stark, D. Rodgers, M. Howard, A. Sehgal, S. Palmer, A. Tong, B. Manns, J. Craig, M. Ruospo, L. Gargano, G. Strippoli, M. Vecchio, M. Petruzzi, M. De Benedictis, F. Pellegrini, Y. Ohno, E. Ishimura, T. Naganuma, K. Kondo, W. Fukushima, K. Mui, M. Inaba, Y. Hirota, X. Sun, S. Jiang, H. Gu, Y. Chen, C. XI, X. Qiao, X. Chen, E. Daher, G. S. Junior, C. N. Jacinto, R. S. Pimentel, G. B. R. Aguiar, C. B. Lima, R. C. Borges, L. P. C. Mota, J. V. L. Melo, S. A. Melo, V. T. Canamary, M. Alves, S. M. H. A. Araujo, Y. K. Huang, K. Rogacev, B. Cremers, A. Zawada, S. Seiler, N. Binder, P. Ege, G. Grosse-Dunker, I. Heisel, F. Hornof, J. Jeken, N. Rebling, C. Ulrich, B. Scheller, M. Bohm, D. Fliser, G. H. Heine, B. Robinson, M. Wang, B. Bieber, R. Fluck, P. G. Kerr, B. Wikstrom, M. Krishnan, A. Nissenson, R. L. Pisoni, S. Mykleset, T. B. Osthus, B. Waldum, I. Os, J. Buttigieg, A. Cassar, J. Farrugia Agius, M. Hara, M. Yamato, K. Yasuda, and K. Sasaki

Subjects
Transplantation, medicine.medical_specialty, Acute coronary syndrome, business.industry, Red blood cell distribution width, medicine.disease, Sudden death, Uremia, Nephrology, Diabetes mellitus, Internal medicine, Heart failure, medicine, Cardiology, Endothelial dysfunction, business, Kidney disease
Published
2012

7. A DDS/PLL architecture for highly stable local oscillators

Author

E. Fernandez, L. Gargano, F. Marchetti, S. Angelini, G. Tonelli, A. Lo Re, A. Pezzuti, and A. Mennella

Subjects
Frequency synthesizer, Engineering, business.industry, Bandwidth (signal processing), Electrical engineering, Frequency agility, law.invention, Phase-locked loop, Direct digital synthesizer, law, Phase noise, Electronic engineering, Radar, business, Spectral purity
Abstract

Spectral purity and source stability represent two of the primary goals in the design of high performance frequency synthesizer for modern radar systems. This paper presents a new X-band High Stable Synthesizer (HSS) architecture, which combines Phase Lock Loop (PLL), Direct Digital Synthesis (DDS) and multiplier techniques, in order to cope with low phase noise and frequency agility requirements of the next radar generations. This synthesizer offers frequency coverage in X band with a percentage bandwidth of a minimum of 10%, with fast switching time, high digitally-tunable resolution and very low phase noise. The achievement of such performance has been demonstrated by experimental results measured on a laboratory demonstrator: they show a lock-in time within 10 us and a phase noise improvement up to 30 dB compared to the current state of art Frequency Generation Unit (FGU). Moreover, for its versatility, the architecture is able to provide an intermediate output covering the needs for new S-L band application.

Published
2014

8. Expert system: defection and perfection

Author

Bel G. Raggad and Michael L. Gargano

Subjects
Engineering, Decision support system, Dependency (UML), Knowledge management, business.industry, media_common.quotation_subject, computer.software_genre, Expert system, Human–computer interaction, Learning curve, Anticipation (artificial intelligence), Information system, Satisficing, Quality (business), business, computer, media_common
Abstract

Unlike other computer‐based information systems, expert systems (ES) are characterized by the satisficing and conservative behavior of their users. Shows that the learning curve may be used to model user dependency on ES technology. Even though user dependency relates to ES quality control parameters (for example, Raggad’s 13 ES quality attributes) only dynamic or late binding features really affect ES dependency: ES learning capability and ES recommendation anticipation. There is hence a learning race between the system and the user. If user learning prevails, then there will be user defection. If system learning prevails, then there will be system perfection. Proposes failure analysis based on user defection due to the absence or underutilization of machine learning. ES owners can adopt this model to design a subsystem capable of transforming user defection analysis into a strategic plan for ES management.

Published
1999

9. Data mining ‐ a powerful information creating tool

Author

Bel G. Raggad and Michael L. Gargano

Subjects
business.industry, Computer science, Rule induction, Data stream mining, Information technology, Library and Information Sciences, Machine learning, computer.software_genre, Data science, Expert system, Data warehouse, Education, Knowledge-based systems, Knowledge extraction, Artificial intelligence, Data mining, Cluster analysis, business, computer, Information Systems
Abstract

Data mining can discover information hidden within valuable data assets. Knowledge discovery, using advanced information technologies, can uncover veins of surprising, golden insights in a mountain of factual data. Data mining consists of a panoply of powerful tools which are intuitive, easy to explain, understandable, and simple to use. These advanced information technologies include artificial intelligence methods (e.g. expert systems, fuzzy logic, etc.), decision trees, rule induction methods, genetic algorithms and genetic programming, neural networks (e.g. backpropagation, associate memories, etc.), and clustering techniques. The synergy created between data warehousing and data mining allows knowledge seekers to leverage their massive data assets, thus improving the quality and effectiveness of their decisions. The growing requirements for data mining and real time analysis of information will be a driving force in the development of new data warehouse architectures and methods and, conversely, the development of new data mining methods and applications.

Published
1999

10. High-dose chemotherapy with bone marrow transplantation for advanced colorectal cancer

Author

G, Codaccipisanelli, P, Seminara, L, Gargano, M, Accordino, E, Sbaffi, V, Bonaiuti, R, Rossetti, and F, Franchi

Abstract

A chemotherapy regimen based on high doses of BCNU and mitomycin C with autologous bone marrow transplantation was used in 18 patients with advanced colorectal carcinoma. Haematological toxicity was manageable, with a short nadir for white blood cells and platelets. The response rate was 33%, with a prevalence in peritoneal lesions compared to liver or lung metastases. Extra-haematological toxicity appeared in 16% of cases: a case of veno-occlusive disease of the liver and two cases of lung impairment are discussed. Although the response rate obtained with the regimen was satisfactory, the more extensive use of high-dose chemotherapy followed by autologous bone marrow transplantation requires the identification of less toxic protocols.

Published
2011

11. [Patient satisfaction in hemodialysis: a pilot cross-sectional analysis and a review]

Author

F, Pansini, L, Gargano, M, Sambati, N, Dambrosio, C, D'Altri, G, Giannoccaro, E, Boccia, A, Cecilia, R, Di Toro Mammarella, A, Flammini, S, La Rosa, M, Fici, V, Sabella, M, Falco, G, Montalto, F, Rindone, A M, Murgo, V, Greco, M, Giannetto, F, D'Agostino, F, Pellegrini, C, Invernizzi, G F M, Strippoli, and C, Manno

Subjects
Male, Cross-Sectional Studies, Patient Satisfaction, Renal Dialysis, Surveys and Questionnaires, Humans, Female, Pilot Projects, Aged
Abstract

Assessment of patient satisfaction is not performed routinely in many healthcare institutions. In this review, we discuss methodological aspects of assessment of patient satisfaction in hemodialysis. We also present a pilot study conducted in the Gambro Healthcare Italy dialysis clinics network.Patient satisfaction was assessed in a network of hemodialysis units by using an internally validated Italian translation of the Choices for Healthy Outcomes in Caring for ESRD (CHOICE) questionnaire. A cross-sectional analytic study design was used and data analysed with univariate and multivariate hierarchical logistic regression to explore correlates of the risk of being unsatisfied with dialysis treatment. Covariates which were considered include a series of over 20 clinical, demographic, organizational and structural aspects. In addition, unexplained inter-centre residual variability due to 'case-mix' was explored and plotted.Seventeen dialysis units participated in this cross-sectional analysis and 758/1001 (75.7%) provided answers to the questionnaires. There was a statistically significant association on multivariate hierarchical analysis between the risk of being unsatisfied with dialysis treatment and interdialysis body weight gain (unit of increase: 1 kg, p=0.004). On the contrary, the risk of unsatisfaction with dialysis treatment was significantly lower in patients with higher dry weight (unit of increase: 1 kg, p=0.002). Our multivariate hierarchical analysis identified some residual variability between dialysis units (n=6 outliers) which may not be explained by any of over 20 potential confounding covariates which were explored.Assessment of ''customer satisfaction'' is standard practice in private for profit product companies in general but needs to be increasingly recognized as a standard in both public and private providers of healthcare services. Social research methods, which are used for this type of analysis, need to be fine tuned and actively implemented in order to better understand how we may influence the quality of service we provide to our patients and the level at which they rate it.

Published
2008

12. Dépression et mortalité cardiovasculaire en hémodialyse : une étude de cohorte multinationale

Author

Patrizia Natale, M. Scaldapane, J.C. Craig, P. Stroumza, V. Saglimbene, L. Gargano, L. Frantzen, Suetonia C. Palmer, J. Dulawa, Giovanni F.M. Strippoli, Marinella Ruospo, and Angelo M. Murgo

Subjects
Nephrology
Abstract

Introduction La depression est frequente chez les adultes en dialyse avec une prevalence d’environ 25 %. Des etudes montrent un lien entre la depression et la mortalite totale, mais l’association entre la depression et la mortalite cardiovasculaire est incertaine. Patients et methodes Nous avons etudie une cohorte multinationale prospective portant sur les adultes traites par hemodialyse iterative au sein d’un reseau mondial entre avril et novembre 2010. La depression a ete etudiee grâce au Beck Depression Inventory (BDI) II. Les tests de sensibilite considerent un BDI II ≥ 14 pour deceler une depression et BDI II ≥ 20 pour affirmer une depression severe. Le modele de regression de Cox a ete utilise pour evaluer les risques ajustes pour toutes causes et la mortalite cardiovasculaire a 12 mois. Resultats Parmi les 2278 (73 %) participants qui ont fourni des reponses completes aux questions de l’enquete BDI II, 1047 (46 %) des repondants ont signale des symptomes correspondant a la depression. Discussion Les facteurs associes a des symptomes depressifs comprenaient l’âge, le pays, l’emploi, l’education, le tabagisme, la comorbidite cardiovasculaire, la pression arterielle, la dose de dialyse et la prise de medicaments psychoactifs. Au cours du suivi de 11 mois (± 2,5), 175 deces sont survenus, dont 66 etaient attribuables a des causes cardiovasculaires. La depression (BDI ≥ 14) n’etait pas associee a la mortalite toutes causes confondues (HR ajuste 1,26 [IC 95 % de 0,93 a 1,71]) ou a la mortalite cardiovasculaire (0,82 [0,50 a 1,34]). Quand un score plus eleve (BDI ≥ 20) a ete utilise pour identifier la depression, la depression etait associee a une mortalite globale (1,40 [1,02 a 1,93]), tandis qu’une association avec la mortalite cardiovasculaire n’etait pas evidente (1,05 [0,63 a 1,77]). Conclusion La relation entre la depression et la mortalite cardiovasculaire chez les adultes traites par hemodialyse est incertaine. Les liens actuels entre la depression et les causes de mortalite sont influences par les parametres et les seuils utilises pour identifier les symptomes depressifs.

Published
2015

13. On the assumption of cubic graphs of vascular networks

Author

Sukmoon Chang, Sung-Hyuk Cha, and Michael L. Gargano

Subjects
Discrete mathematics, Quantitative Biology::Tissues and Organs, Voltage graph, Strength of a graph, Butterfly graph, Simplex graph, Quantitative Biology::Cell Behavior, Combinatorics, Cubic graph, natural sciences, Null graph, Random geometric graph, Complement graph, Mathematics
Abstract

A vascular network is often represented by a Reeb graph, which is a topological skeleton, and graph theory has been widely applied to analyze properties of a vascular network. A Reeb graph model for a vascular network is obtained by assigning the branch points of the network to be the vertices of the graph and the vessels between branch points to be the edges of the graph. Vascular networks develop by way of angiogenesis, a growth process that involves the biological mechanisms of vessel sprouting (budding) and splitting (intussusception). Vascular networks develop by way of two biological mechanisms of vessel sprouting (budding) and splitting (intussusception). According to a graph theory modeling of two vascular network growth mechanisms, all nodes in the Reeb graph must be cubic in degree except for two special nodes: the afferent (A) and efferent (E) nodes. We define that a vascular network is cubic if all internal nodes are cubic in degree. We consider six normal adult rat renal glomerular networks and use their reeb graphs already constructed and published in the literature. We observe that five of them contain internal vertices of degree higher than three. Branch points in vascular networks may appear to be of a higher degree if the imaging resolution cannot differentiate between blood vessels that are very close in proximity. Here, we propose a random graph theory model that edits a non-cubic vascular network into a cubic graph. We observe that the edited cubic graph from a non-cubic vascular network has the similar size and order as the one cubic vascular network.

Published
2006

14. A Vascular Network Growth Estimation Algorithm Using Random Graphs

Author

Eric M. Wahl, Sung-Hyuk Cha, Louis V. Quintas, and Michael L. Gargano

Subjects
Random graph, Discrete mathematics, Renal glomerulus, Quantitative Biology::Tissues and Organs, Voltage graph, Strength of a graph, urologic and male genital diseases, Graph property, Null graph, Random geometric graph, Connectivity, Quantitative Biology::Cell Behavior, Mathematics
Abstract

Vascular networks develop by way of angiogenesis, a growth process that involves the biological mechanisms of vessel sprouting (budding) and splitting (intussusception). Graph theory is a branch of discrete mathematics that is excellently suited to model vascular networks and to analyze their properties (invariants). A random graph process model can simulate the development of a vascular network that has been modeled using graph theory. The renal glomerulus is one example of such a vascular network. Here the correlation between the invariants of this vascular network modeled as a graph and the mechanisms of the growth of the network are studied. It is proposed that the relative frequencies of sprouting and splitting during the growth of a given renal glomerulus can be estimated by the invariants (root distance, radius, and diameter) of the graph representing the renal glomerulus network. Experimental evidence is given to support this conjecture.

Published
2005

16. A graph theory analysis of renal glomerular microvascular networks

Author

Eric M. Wahl, Lorraine L. Lurie, Louis V. Quintas, and Michael L. Gargano

Subjects
Diagnostic Imaging, Quantitative Biology::Tissues and Organs, Kidney Glomerulus, Biology, urologic and male genital diseases, Biochemistry, Quantitative Biology::Cell Behavior, Renal Circulation, Imaging, Three-Dimensional, Glomerulus, medicine, Animals, Computer Simulation, Uremia, Quantitative Biology::Neurons and Cognition, Graph theory, Cell Biology, Anatomy, Models, Theoretical, medicine.disease, Quantitative model, Planarity testing, Rats, Cycle rank, Animals, Newborn, Cardiology and Cardiovascular Medicine, Graph theory analysis, Neuroscience
Abstract

A graph theory model and its invariants are used to compare previously published renal glomerular networks of six adult rats, one adult uremic rat, and one newborn rat. Invariants calculated include order, size, cycle rank, eccentricity, root distance, planarity, and vertex degree distribution. These invariants enabled the differentiation of six normal adult glomerular microvascular networks from that of the uremic glomerulus and from that of the normal newborn glomerulus. These invariants might then be used to differentiate between normal and pathological vascular networks. Also proposed are graph theory invariants that might be used to develop a quantitative model for angiogenesis.

Published
2003

19. Hypercubes and Pascal's Triangle: A Tale of Two Proofs

Author

Marty Lewinter, Michael L. Gargano, and Joseph F. Malerba

Subjects
General Mathematics, Binary number, Graph theory, Pascal's triangle, Mathematical proof, Graph, Vertex (geometry), Combinatorics, symbols.namesake, symbols, Hypercube, Algebraic number, Algorithm, Mathematics
Abstract

This last identity can also be proven without calculus. For a typical short proof, see Rosen [9, Section 4.3, Exercise 51] or Buckley and Lewinter [3, Section 1.4, Exercise 9]. We shall prove identity (4) using graph theory. In contrast to the previously mentioned proofs, which suggest that (4) is an algebraic accident, our approach here will count a combinatorial object in two different ways, thereby yielding insight into why the identity is true. The hypercube, Qn, is an important graph, with applications in computer science [1]-[3], [5]-[8]. Its vertex set is given by V(Qn) = {(xl, x2, ..., Xn) I xi = 0 or 1; i = 1, 2 ..., n}, i.e., each vertex is labeled by a binary n-dimensional vector. It follows that IV(Qn)l = 2". Vertices x = (xl, x2, ..., xn) and Y = (Y, Y2 ..., Yn) are adjacent if and only if yin=l xiYi = 1, from which it follows that Qn is n-regular. Since the degree sum is n2n, we find that Qn has n2n-1 216 MATHEMATICS MAGAZINE

Published
2003

21. Contents Vol. 56, 2001

Author

Kentaro Fujiwara, G. Gandolfo, Peter C. Hindmarsh, F.S. Celi, Taiya Kato, Leslie A. Perry, P.C. Hindmarsh, R. Sibilla, N. Viceconti, Fernando Bandrés, Steven Karger, Charles G. D. Brook, Michael Roden, Enric Vicens-Calvet, Yasutoshi Itoh, Evangelia Charmandari, Mehul T. Dattani, Susanna Riqué, Carmen Sanchez Ufarte, Elisabeth Bernroider, Neus Potau, M. Centanni, José L. Chicharro, Mutsuko Nagata, Akio Nagasaka, Antonio Carrascosa, Teruo Sugawara, M. Gussinyé, Naohisa Oda, Mitsuyasu Itoh, Kurt Kletter, Takako Kobayashi, L. Conti, Hiroaki Kakizawa, Claudia Ludwig, Yuko Fujimoto, D. Mentuccia, Milo Zachmann, Alejandro Lucia, Masaki Makino, Seiichiro Fujimoto, A. Nakai, Thomas Karger, Werner Waldhäusl, Susanne Kurzemann, D. Danese, Nicolás Terrados, Jesús Hoyos, Hideki Katsumata, Benjamín Fernández, L. Gargano, and Martin Bischof

Subjects
Endocrinology, business.industry, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Medicine, business
Published
2001

22. Value sets of graphs edge-weighted with elements of a finite abelian group

Author

Michael L. Gargano, Edgar G. DuCasse, and Louis V. Quintas

Subjects
Combinatorics, Discrete mathematics, Graph labeling, Applied Mathematics, Edge-graceful labeling, Discrete Mathematics and Combinatorics, Cyclic group, Edge (geometry), Abelian group, Value (mathematics), Rank of an abelian group, Free abelian group, Mathematics
Published
2010

23. Subject Index Vol. 56, 2001

Author

P.C. Hindmarsh, Leslie A. Perry, A. Nakai, Werner Waldhäusl, D. Mentuccia, Nicolás Terrados, Milo Zachmann, R. Sibilla, Charles G. D. Brook, Masaki Makino, Michael Roden, Takako Kobayashi, Mitsuyasu Itoh, Yuko Fujimoto, Elisabeth Bernroider, Akio Nagasaka, M. Gussinyé, G. Gandolfo, Peter C. Hindmarsh, Teruo Sugawara, L. Conti, Enric Vicens-Calvet, Benjamín Fernández, Carmen Sanchez Ufarte, F.S. Celi, Claudia Ludwig, Seiichiro Fujimoto, Jesús Hoyos, Susanne Kurzemann, Fernando Bandrés, Evangelia Charmandari, Thomas Karger, Alejandro Lucia, Martin Bischof, Susanna Riqué, D. Danese, L. Gargano, Hideki Katsumata, Hiroaki Kakizawa, Mehul T. Dattani, Steven Karger, M. Centanni, José L. Chicharro, Antonio Carrascosa, Naohisa Oda, Neus Potau, Kurt Kletter, Kentaro Fujiwara, Taiya Kato, N. Viceconti, Yasutoshi Itoh, and Mutsuko Nagata

Subjects
Endocrinology, Index (economics), business.industry, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Statistics, Medicine, Subject (documents), business
Published
2001

24. First report of Pleurotus fuscosquamulosus (Pleurotaceae, Basidiomycota) in Italy naturally occurring on new tropical hosts

Author

Livio Torta, Giuseppe Venturella, Maria Letizia Gargano, Vito Armando Laudicina, Selene Giambra, Giulia Mirabile, Patrizia Bella, Gaetano Conigliaro, and L. Torta, P. Bella, G. Conigliaro, G. Mirabile, V. A. Laudicina, S. Giambra, G. Venturella, M. L. Gargano

Subjects
biology, Settore BIO/02 - Botanica Sistematica, Botany, Coremiopleurotus, Antromycopsis fuscosquamulosa, white wood rot, syringaldazine, Settore AGR/12 - Patologia Vegetale, Pleurotus fuscosquamulosus, Pleurotaceae, Basidiomycota, Plant Science, biology.organism_classification
Abstract

Basidiomata of a mushroom macroscopically recognised as Pleurotus cystidosus sensu latu were collected on the trunks of three tropical ornamental trees such as Broussonetia papyrifera, Yucca elephantipes, and Paulownia tomentosa in the Parco d’Orleans, an urban park in the town of Palermo (Sicily, Italy). All the plants showed cavities and white rot symptoms at the base of the trunks. Macro- and microscopic observations on both collected basidiomata and isolated colonies, as well as molecular analysis, allowed identifying the collected basidiomata as Pleurotus fuscosquamulosus and its anamorph as Antromycopsis fuscosquamulosus. These species belong to the subgenus Coremiopleurotus that includes different species producing synnematoid fructifications. The positive reaction of the colonies to the syringaldazine and the artificial inoculation tests on wood blocks of B. papyrifera confirmed its white wood rotting activity. To our knowledge, this is the first report of occurring of P. fuscosquamulosus in Italy on three new tropical plant hosts.

Published
2019

25. Wild and cultivated mushrooms as a model of sustainable development

Author

Mattia Bencivenga, Elena Salerni, Domizia Donnini, S. Di Piazza, Elisa Altobelli, Claudia Perini, G. Rana, Claude Murat, Maria Letizia Gargano, Alessandra Zambonelli, Elena Savino, Andrea Rubini, Roberto Venanzoni, Dept Appl Biol, Università degli Studi di Perugia (UNIPG), Dept Environm Biol & Biodivers, Sect Bot, Università degli studi di Palermo - University of Palermo, Dept Environm Sci G Sarfatti, Dipartimento di Scienze della Terra e dell'Ambiente [Pavia], Università degli Studi di Pavia, Interactions Arbres-Microorganismes (IAM), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), DiSTAV, University of Genoa (UNIGE), Natl Res Council, Perugia Div, Institute of Plant Genetics, Dept Sci, University of Basilicata, DIPROVAL, Alma Mater Studiorum University of Bologna (UNIBO), Donnini, D, Gargano, ML, Perini, C, Savino, E, Murat, C, Di Piazza, S, Altobelli, E, Salerni, E, Rubini, A, Rana, GL, Bencivenga, M, Venanzoni, R, Zambonelli, A, Università di Pavia, Université de Lorraine (UL)-Institut National de la Recherche Agronomique (INRA), D. Donnini, M. L. Gargano, C. Perini, E. Savino, C. Murat, S. Di Piazza, E. Altobelli, E. Salerni, A. Rubini, G. L. Rana, M. Bencivenga, R. Venanzoni, and A. Zambonelli

Subjects
0106 biological sciences, Agroecosystem, mushroom cultivation, Food industry, Emerging technologies, [SDV]Life Sciences [q-bio], novel mushroom products, MELANOSPORUM, DIVERSITY, truffle, Weed biocontrol, environmental management, mushroom cultivation, novel mushroom products, truffles, Plant Science, Biology, 010603 evolutionary biology, 01 natural sciences, environmental management, Goods and services, ANTIFUNGAL, ANTIOXIDANT, Ecosystem, Ecology, Evolution, Behavior and Systematics, weed biocontrol, truffles, Weed biocontrol, environmental management, mushroom cultivation, novel mushroom prducts, truffles, BLACK TRUFFLE, 2. Zero hunger, Sustainable development, Agroforestry, business.industry, Ecology, Weed biocontrol, FUNGI, 15. Life on land, Natural resource, TUBER-AESTIVUM VITTAD, SITU CONSERVATION, 13. Climate action, Settore BIO/03 - Botanica Ambientale E Applicata, BIODIVERSITY, COMMUNITIES, business, Weed, 010606 plant biology & botany
Abstract

The natural resources are currently overexploited and since 1992 the Conference of Rio de Janeiro has focused on sustainable development to safeguard our planet for future generations. The Fungi kingdom includes producers of goods and services for ecosystems and organisms widely used in the food industry. Besides, macrofungi are recognized as nontimber forest products and could be utilized as agents of environmental management through weed biocontrol and environmental improvement. Moreover, the cultivation of fungi, in particular truffles, can provide an important income in agroecosystems, especially in marginal areas, along with the development of new technologies to produce novel products from fungi. © 2013 Societá Botanica Italiana.

Published
2013

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