25 results on '"Rhodes, C.J."'
Search Results
2. The opportunistic transmission of wireless worms between mobile devices
- Author
-
Rhodes, C.J. and Nekovee, M.
- Published
- 2008
- Full Text
- View/download PDF
3. Inferring missing links in partially observed social networks
- Author
-
Rhodes, C.J. and Jones, P.
- Subjects
Social networks -- Social aspects ,Social networks -- Analysis ,Social networks -- Forecasts and trends ,Network hubs -- Analysis ,Network hubs -- Forecasts and trends ,ATM LAN hub/MAU ,Market trend/market analysis ,Business ,Business, general - Abstract
Determining the pattern of links within a large social network is often problematic due to the labour-intensive nature of the data collection and analysis process. With constrained data collection capabilities it is often only possible to either make detailed observations of a limited number of individuals in the network, or to make fewer observations of a larger number of people. Previously we have shown how detailed observation of a small network can be used, which infer where in the network previously unconnected individuals are likely to fit, thereby attempting to predict network growth as new people are considered for inclusion. Here, by contrast, we show how social network topology can be inferred following a limited observation of a large network. Essentially the issue is one of inferring the presence of links that are missed during a constrained data collection campaign on the network. It is particularly difficult to infer network structures for those organizations that actively seek to remain covert and undetected. However, it is often very useful to know if two given individuals are likely to be connected even though limited surveillance effort yields no evidence of a link. Specifically, we show how a statistical inference technique can be used to successfully predict the existence of links that are missed during network sampling. The procedure is demonstrated using network data obtained from open source publications. Keywords: networks and graphs; defence studies; probability; forecasting
- Published
- 2009
4. The Levy flight paradigm, random search patterns and mechanisms
- Author
-
Reynolds, A.M. and Rhodes, C.J.
- Subjects
Foraging -- Models ,Animal flight -- Models ,Biological sciences ,Environmental issues - Abstract
Over recent years there has been an accumulation of evidence from a variety of experimental, theoretical, and field studies that many organisms use a movement strategy approximated by Levy flights when they are searching for resources. Levy flights are random movements that can maximize the efficiency of resource searches in uncertain environments. This is a highly significant finding because it suggests that Levy flights provide a rigorous mathematical basis for separating out evolved, innate behaviors from environmental influences. We discuss recent developments in random-search theory, as well as the many different experimental and data collection initiatives that have investigated search strategies. Methods for trajectory construction and robust data analysis procedures are presented. The key to prediction and understanding does, however, lie in the elucidation of mechanisms underlying the observed patterns. We discuss candidate neurological, olfactory, and learning mechanisms for the emergence of Levy flight patterns in some organisms, and note that convergence of behaviors along such different evolutionary pathways is not surprising given the energetic efficiencies that Levy flight movement patterns confer. Key words: Brownian motion; diffusive walks; emergence; foraging; Levy flight; movement patterns; optimal foraging; power laws; scaling; search pattern.
- Published
- 2009
5. Social network topology: a Bayesian approach
- Author
-
Rhodes, C.J. and Keefe, E.M.J.
- Subjects
Defense (Civil procedure) -- Analysis ,Economic forecasting -- Analysis ,Social networks -- Analysis ,Business ,Business, general - Abstract
Elucidating the pattern of links within social networks is a challenging problem. Of particular difficulty is determining the existence of links in those groups that take active measures to conceal their internal connections, such as terrorist or criminal organizations where conventional social network analysis datagathering techniques cannot be applied. Network representations of such organizations are useful, because they often represent a useful point of departure in thinking both about the potential capabilities of organizations and how to conduct effective measures to counter them. Developing an effective process for constructing such network representations from incomplete and limited data of variable quality is a topic of much current interest. Here, a method based on Bayesian inference is presented that probabilistically infers the existence of links within a social network. It is tested on data from open source publications. Additionally, the method represents a possible approach to dynamically modelling networks, as it is feasible to calculate how a network will reconfigure following an intervention. Keywords: networks and graphs; defence studies; probability; forecasting
- Published
- 2007
6. Plasma proteome analysis in patients with pulmonary arterial hypertension: an observational cohort study
- Author
-
Rhodes, C.J., Wharton, J., Ghataorhe, P., Watson, G., Girerd, B., Howard, L.S., Gibbs, J.S.R., Condliffe, R., Elliot, C.A., Kiely, D.G., Simonneau, G., Montani, D., Sitbon, O., Gall, H., Schermuly, R.T., Ghofrani, H.A., Lawrie, A., Humbert, M., Wilkins, M.R., Imperial College Healthcare NHS Trust, National Institute for Health Research, British Heart Foundation, Wellcome Trust, and Medical Research Council (MRC)
- Subjects
EXPRESSION ,Adult ,Male ,Proteomics ,Proteome ,Hypertension, Pulmonary ,Respiratory System ,BIOMARKERS ,DIAGNOSIS ,Risk Assessment ,1117 Public Health and Health Services ,Cohort Studies ,PREDICTING SURVIVAL ,Critical Care Medicine ,Risk Factors ,General & Internal Medicine ,Humans ,Arterial Pressure ,Familial Primary Pulmonary Hypertension ,Aged ,Science & Technology ,IDENTIFICATION ,RECEPTOR ,Gene Expression Profiling ,1103 Clinical Sciences ,Blood Proteins ,Articles ,Middle Aged ,ST2 ,Hypertension ,Female ,Life Sciences & Biomedicine ,1199 Other Medical and Health Sciences - Abstract
Summary Background Idiopathic and heritable pulmonary arterial hypertension form a rare but molecularly heterogeneous disease group. We aimed to measure and validate differences in plasma concentrations of proteins that are associated with survival in patients with idiopathic or heritable pulmonary arterial hypertension to improve risk stratification. Methods In this observational cohort study, we enrolled patients with idiopathic or heritable pulmonary arterial hypertension from London (UK; cohorts 1 and 2), Giessen (Germany; cohort 3), and Paris (France; cohort 4). Blood samples were collected at routine clinical appointment visits, clinical data were collected within 30 days of blood sampling, and biochemical data were collected within 7 days of blood sampling. We used an aptamer-based assay of 1129 plasma proteins, and patient clinical details were concealed to the technicians. We identified a panel of prognostic proteins, confirmed with alternative targeted assays, which we evaluated against the established prognostic risk equation for pulmonary arterial hypertension derived from the REVEAL registry. All-cause mortality was the primary endpoint. Findings 20 proteins differentiated survivors and non-survivors in 143 consecutive patients with idiopathic or heritable pulmonary arterial hypertension with 2 years' follow-up (cohort 1) and in a further 75 patients with 2·5 years' follow-up (cohort 2). Nine proteins were both prognostic independent of plasma NT-proBNP concentrations and confirmed by targeted assays. The functions of these proteins relate to myocardial stress, inflammation, pulmonary vascular cellular dysfunction and structural dysregulation, iron status, and coagulation. A cutoff-based score using the panel of nine proteins provided prognostic information independent of the REVEAL equation, improving the C statistic from area under the curve 0·83 (for REVEAL risk score, 95% CI 0·77–0·89; p
- Published
- 2017
7. Muonium adducts of benzaldehyde: Structural correlation with nitroxides
- Author
-
Rhodes, C.J., Reid, I.D., and Jackson, R.A.
- Published
- 1997
- Full Text
- View/download PDF
8. Muonium addition to vinylaromatics and to diacetylenes: formation and stability of arylethyl/vinylcyclohexadienyl and alkynylvinyl radicals
- Author
-
Rhodes, C.J., Morris, H., and Reid, I.D.
- Published
- 1997
- Full Text
- View/download PDF
9. Scale-free dynamics in the movement patterns of jackals
- Author
-
Atkinson, R.P.D., Rhodes, C.J., Macdonald, D.W., and Anderson, R.M.
- Subjects
Foraging -- Research ,Jackals -- Behavior ,Environmental issues - Abstract
The authors describe research recording African jackal movement patterns using radio tracking techniques. The predominant patterns are scale-free, or fractal, possibly as a means to locate resources in an unpredictable environment.
- Published
- 2002
10. Guidelines for the use and interpretation of assays for monitoring autophagy
- Author
-
Klionsky, D.J. Abdalla, F.C. Abeliovich, H. Abraham, R.T. Acevedo-Arozena, A. Adeli, K. Agholme, L. Agnello, M. Agostinis, P. Aguirre-Ghiso, J.A. Ahn, H.J. Ait-Mohamed, O. Ait-Si-Ali, S. Akematsu, T. Akira, S. Al-Younes, H.M. Al-Zeer, M.A. Albert, M.L. Albin, R.L. Alegre-Abarrategui, J. Aleo, M.F. Alirezaei, M. Almasan, A. Almonte-Becerril, M. Amano, A. Amaravadi, R. Amarnath, S. Amer, A.O. Andrieu-Abadie, N. Anantharam, V. Ann, D.K. Anoopkumar-Dukie, S. Aoki, H. Apostolova, N. Arancia, G. Aris, J.P. Asanuma, K. Asare, N.Y.O. Ashida, H. Askanas, V. Askew, D.S. Auberger, P. Baba, M. Backues, S.K. Baehrecke, E.H. Bahr, B.A. Bai, X.-Y. Bailly, Y. Baiocchi, R. Baldini, G. Balduini, W. Ballabio, A. Bamber, B.A. Bampton, E.T.W. Bánhegyi, G. Bartholomew, C.R. Bassham, D.C. Bast Jr., R.C. Batoko, H. Bay, B.-H. Beau, I. Béchet, D.M. Begley, T.J. Behl, C. Behrends, C. Bekri, S. Bellaire, B. Bendall, L.J. Benetti, L. Berliocchi, L. Bernardi, H. Bernassola, F. Besteiro, S. Bhatia-Kissova, I. Bi, X. Biard-Piechaczyk, M. Blum, J.S. Boise, L.H. Bonaldo, P. Boone, D.L. Bornhauser, B.C. Bortoluci, K.R. Bossis, I. Bost, F. Bourquin, J.-P. Boya, P. Boyer-Guittaut, M. Bozhkov, P.V. Brady, N.R. Brancolini, C. Brech, A. Brenman, J.E. Brennand, A. Bresnick, E.H. Brest, P. Bridges, D. Bristol, M.L. Brookes, P.S. Brown, E.J. Brumell, J.H. Brunetti-Pierri, N. Brunk, U.T. Bulman, D.E. Bultman, S.J. Bultynck, G. Burbulla, L.F. Bursch, W. Butchar, J.P. Buzgariu, W. Bydlowski, S.P. Cadwell, K. Cahová, M. Cai, D. Cai, J. Cai, Q. Calabretta, B. Calvo-Garrido, J. Camougrand, N. Campanella, M. Campos-Salinas, J. Candi, E. Cao, L. Caplan, A.B. Carding, S.R. Cardoso, S.M. Carew, J.S. Carlin, C.R. Carmignac, V. Carneiro, L.A.M. Carra, S. Caruso, R.A. Casari, G. Casas, C. Castino, R. Cebollero, E. Cecconi, F. Celli, J. Chaachouay, H. Chae, H.-J. Chai, C.-Y. Chan, D.C. Chan, E.Y. Chang, R.C.-C. Che, C.-M. Chen, C.-C. Chen, G.-C. Chen, G.-Q. Chen, M. Chen, Q. Chen, S.S.-L. Chen, W. Chen, X. Chen, X. Chen, X. Chen, Y.-G. Chen, Y. Chen, Y. Chen, Y.-J. Chen, Z. Cheng, A. Cheng, C.H.K. Cheng, Y. Cheong, H. Cheong, J.-H. Cherry, S. Chess-Williams, R. Cheung, Z.H. Chevet, E. Chiang, H.-L. Chiarelli, R. Chiba, T. Chin, L.-S. Chiou, S.-H. Chisari, F.V. Cho, C.H. Cho, D.-H. Choi, A.M.K. Choi, D. Choi, K.S. Choi, M.E. Chouaib, S. Choubey, D. Choubey, V. Chu, C.T. Chuang, T.-H. Chueh, S.-H. Chun, T. Chwae, Y.-J. Chye, M.-L. Ciarcia, R. Ciriolo, M.R. Clague, M.J. Clark, R.S.B. Clarke, P.G.H. Clarke, R. Codogno, P. Coller, H.A. Colombo, M.I. Comincini, S. Condello, M. Condorelli, F. Cookson, M.R. Coombs, G.H. Coppens, I. Corbalan, R. Cossart, P. Costelli, P. Costes, S. Coto-Montes, A. Couve, E. Coxon, F.P. Cregg, J.M. Crespo, J.L. Cronjé, M.J. Cuervo, A.M. Cullen, J.J. Czaja, M.J. D'Amelio, M. Darfeuille-Michaud, A. Davids, L.M. Davies, F.E. De Felici, M. De Groot, J.F. De Haan, C.A.M. De Martino, L. De Milito, A. De Tata, V. Debnath, J. Degterev, A. Dehay, B. Delbridge, L.M.D. Demarchi, F. Deng, Y.Z. Dengjel, J. Dent, P. Denton, D. Deretic, V. Desai, S.D. Devenish, R.J. Di Gioacchino, M. Di Paolo, G. Di Pietro, C. Díaz-Araya, G. Díaz-Laviada, I. Diaz-Meco, M.T. Diaz-Nido, J. Dikic, I. Dinesh-Kumar, S.P. Ding, W.-X. Distelhorst, C.W. Diwan, A. Djavaheri-Mergny, M. Dokudovskaya, S. Dong, Z. Dorsey, F.C. Dosenko, V. Dowling, J.J. Doxsey, S. Dreux, M. Drew, M.E. Duan, Q. Duchosal, M.A. Duff, K. Dugail, I. Durbeej, M. Duszenko, M. Edelstein, C.L. Edinger, A.L. Egea, G. Eichinger, L. Eissa, N.T. Ekmekcioglu, S. El-Deiry, W.S. Elazar, Z. Elgendy, M. Ellerby, L.M. Er Eng, K. Engelbrecht, A.-M. Engelender, S. Erenpreisa, J. Escalante, R. Esclatine, A. Eskelinen, E.-L. Espert, L. Espina, V. Fan, H. Fan, J. Fan, Q.-W. Fan, Z. Fang, S. Fang, Y. Fanto, M. Fanzani, A. Farkas, T. Farré, J.-C. Faure, M. Fechheimer, M. Feng, C.G. Feng, J. Feng, Q. Feng, Y. Fésüs, L. Feuer, R. Figueiredo-Pereira, M.E. Fimia, G.M. Fingar, D.C. Finkbeiner, S. Finkel, T. Finley, K.D. Fiorito, F. Fisher, E.A. Fisher, P.B. Flajolet, M. Florez-McClure, M.L. Florio, S. Fon, E.A. Fornai, F. Fortunato, F. Fotedar, R. Fowler, D.H. Fox, H.S. Franco, R. Frankel, L.B. Fransen, M. Fuentes, J.M. Fueyo, J. Fujii, J. Fujisaki, K. Fujita, E. Fukuda, M. Furukawa, R.H. Gaestel, M. Gailly, P. Gajewska, M. Galliot, B. Galy, V. Ganesh, S. Ganetzky, B. Ganley, I.G. Gao, F.-B. Gao, G.F. Gao, J. Garcia, L. Garcia-Manero, G. Garcia-Marcos, M. Garmyn, M. Gartel, A.L. Gatti, E. Gautel, M. Gawriluk, T.R. Gegg, M.E. Geng, J. Germain, M. Gestwicki, J.E. Gewirtz, D.A. Ghavami, S. Ghosh, P. Giammarioli, A.M. Giatromanolaki, A.N. Gibson, S.B. Gilkerson, R.W. Ginger, M.L. Ginsberg, H.N. Golab, J. Goligorsky, M.S. Golstein, P. Gomez-Manzano, C. Goncu, E. Gongora, C. Gonzalez, C.D. Gonzalez, R. González-Estévez, C. González-Polo, R.A. Gonzalez-Rey, E. Gorbunov, N.V. Gorski, S. Goruppi, S. Gottlieb, R.A. Gozuacik, D. Granato, G.E. Grant, G.D. Green, K.N. Gregorc, A. Gros, F. Grose, C. Grunt, T.W. Gual, P. Guan, J.-L. Guan, K.-L. Guichard, S.M. Gukovskaya, A.S. Gukovsky, I. Gunst, J. Gustafsson, A.B. Halayko, A.J. Hale, A.N. Halonen, S.K. Hamasaki, M. Han, F. Han, T. Hancock, M.K. Hansen, M. Harada, H. Harada, M. Hardt, S.E. Harper, J.W. Harris, A.L. Harris, J. Harris, S.D. Hashimoto, M. Haspel, J.A. Hayashi, S.-I. Hazelhurst, L.A. He, C. He, Y.-W. Hébert, M.-J. Heidenreich, K.A. Helfrich, M.H. Helgason, G.V. Henske, E.P. Herman, B. Herman, P.K. Hetz, C. Hilfiker, S. Hill, J.A. Hocking, L.J. Hofman, P. Hofmann, T.G. Höhfeld, J. Holyoake, T.L. Hong, M.-H. Hood, D.A. Hotamisligil, G.S. Houwerzijl, E.J. Høyer-Hansen, M. Hu, B. Hu, C.-A.A. Hu, H.-M. Hua, Y. Huang, C. Huang, J. Huang, S. Huang, W.-P. Huber, T.B. Huh, W.-K. Hung, T.-H. Hupp, T.R. Hur, G.M. Hurley, J.B. Hussain, S.N.A. Hussey, P.J. Hwang, J.J. Hwang, S. Ichihara, A. Ilkhanizadeh, S. Inoki, K. Into, T. Iovane, V. Iovanna, J.L. Ip, N.Y. Isaka, Y. Ishida, H. Isidoro, C. Isobe, K.-I. Iwasaki, A. Izquierdo, M. Izumi, Y. Jaakkola, P.M. Jäättelä, M. Jackson, G.R. Jackson, W.T. Janji, B. Jendrach, M. Jeon, J.-H. Jeung, E.-B. Jiang, H. Jiang, H. Jiang, J.X. Jiang, M. Jiang, Q. Jiang, X. Jiménez, A. Jin, M. Jin, S. Joe, C.O. Johansen, T. Johnson, D.E. Johnson, G.V.W. Jones, N.L. Joseph, B. Joseph, S.K. Joubert, A.M. Juhász, G. Juillerat-Jeanneret, L. Jung, C.H. Jung, Y.-K. Kaarniranta, K. Kaasik, A. Kabuta, T. Kadowaki, M. Kagedal, K. Kamada, Y. Kaminskyy, V.O. Kampinga, H.H. Kanamori, H. Kang, C. Kang, K.B. Il Kang, K. Kang, R. Kang, Y.-A. Kanki, T. Kanneganti, T.-D. Kanno, H. Kanthasamy, A.G. Kanthasamy, A. Karantza, V. Kaushal, G.P. Kaushik, S. Kawazoe, Y. Ke, P.-Y. Kehrl, J.H. Kelekar, A. Kerkhoff, C. Kessel, D.H. Khalil, H. Kiel, J.A.K.W. Kiger, A.A. Kihara, A. Kim, D.R. Kim, D.-H. Kim, D.-H. Kim, E.-K. Kim, H.-R. Kim, J.-S. Kim, J.H. Kim, J.C. Kim, J.K. Kim, P.K. Kim, S.W. Kim, Y.-S. Kim, Y. Kimchi, A. Kimmelman, A.C. King, J.S. Kinsella, T.J. Kirkin, V. Kirshenbaum, L.A. Kitamoto, K. Kitazato, K. Klein, L. Klimecki, W.T. Klucken, J. Knecht, E. Ko, B.C.B. Koch, J.C. Koga, H. Koh, J.-Y. Koh, Y.H. Koike, M. Komatsu, M. Kominami, E. Kong, H.J. Kong, W.-J. Korolchuk, V.I. Kotake, Y. Koukourakis, M.I. Kouri Flores, J.B. Kovács, A.L. Kraft, C. Krainc, D. Krämer, H. Kretz-Remy, C. Krichevsky, A.M. Kroemer, G. Krüger, R. Krut, O. Ktistakis, N.T. Kuan, C.-Y. Kucharczyk, R. Kumar, A. Kumar, R. Kumar, S. Kundu, M. Kung, H.-J. Kurz, T. Kwon, H.J. La Spada, A.R. Lafont, F. Lamark, T. Landry, J. Lane, J.D. Lapaquette, P. Laporte, J.F. László, L. Lavandero, S. Lavoie, J.N. Layfield, R. Lazo, P.A. Le, W. Le Cam, L. Ledbetter, D.J. Lee, A.J.X. Lee, B.-W. Lee, G.M. Lee, J. Lee, J.-H. Lee, M. Lee, M.-S. Lee, S.H. Leeuwenburgh, C. Legembre, P. Legouis, R. Lehmann, M. Lei, H.-Y. Lei, Q.-Y. Leib, D.A. Leiro, J. Lemasters, J.J. Lemoine, A. Lesniak, M.S. Lev, D. Levenson, V.V. Levine, B. Levy, E. Li, F. Li, J.-L. Li, L. Li, S. Li, W. Li, X.-J. Li, Y.-B. Li, Y.-P. Liang, C. Liang, Q. Liao, Y.-F. Liberski, P.P. Lieberman, A. Lim, H.J. Lim, K.-L. Lim, K. Lin, C.-F. Lin, F.-C. Lin, J. Lin, J.D. Lin, K. Lin, W.-W. Lin, W.-C. Lin, Y.-L. Linden, R. Lingor, P. Lippincott-Schwartz, J. Lisanti, M.P. Liton, P.B. Liu, B. Liu, C.-F. Liu, K. Liu, L. Liu, Q.A. Liu, W. Liu, Y.-C. Liu, Y. Lockshin, R.A. Lok, C.-N. Lonial, S. Loos, B. Lopez-Berestein, G. López-Otín, C. Lossi, L. Lotze, M.T. Lõw, P. Lu, B. Lu, B. Lu, B. Lu, Z. Luciano, F. Lukacs, N.W. Lund, A.H. Lynch-Day, M.A. Ma, Y. Macian, F. MacKeigan, J.P. Macleod, K.F. Madeo, F. Maiuri, L. Maiuri, M.C. Malagoli, D. Malicdan, M.C.V. Malorni, W. Man, N. Mandelkow, E.-M. Manon, S. Manov, I. Mao, K. Mao, X. Mao, Z. Marambaud, P. Marazziti, D. Marcel, Y.L. Marchbank, K. Marchetti, P. Marciniak, S.J. Marcondes, M. Mardi, M. Marfe, G. Mariño, G. Markaki, M. Marten, M.R. Martin, S.J. Martinand-Mari, C. Martinet, W. Martinez-Vicente, M. Masini, M. Matarrese, P. Matsuo, S. Matteoni, R. Mayer, A. Mazure, N.M. McConkey, D.J. McConnell, M.J. McDermott, C. McDonald, C. McInerney, G.M. McKenna, S.L. McLaughlin, B. McLean, P.J. McMaster, C.R. McQuibban, G.A. Meijer, A.J. Meisler, M.H. Meléndez, A. Melia, T.J. Melino, G. Mena, M.A. Menendez, J.A. Menna-Barreto, R.F.S. Menon, M.B. Menzies, F.M. Mercer, C.A. Merighi, A. Merry, D.E. Meschini, S. Meyer, C.G. Meyer, T.F. Miao, C.-Y. Miao, J.-Y. Michels, P.A.M. Michiels, C. Mijaljica, D. Milojkovic, A. Minucci, S. Miracco, C. Miranti, C.K. Mitroulis, I. Miyazawa, K. Mizushima, N. Mograbi, B. Mohseni, S. Molero, X. Mollereau, B. Mollinedo, F. Momoi, T. Monastyrska, I. Monick, M.M. Monteiro, M.J. Moore, M.N. Mora, R. Moreau, K. Moreira, P.I. Moriyasu, Y. Moscat, J. Mostowy, S. Mottram, J.C. Motyl, T. Moussa, C.E.-H. Müller, S. Muller, S. Münger, K. Münz, C. Murphy, L.O. Murphy, M.E. Musarò, A. Mysorekar, I. Nagata, E. Nagata, K. Nahimana, A. Nair, U. Nakagawa, T. Nakahira, K. Nakano, H. Nakatogawa, H. Nanjundan, M. Naqvi, N.I. Narendra, D.P. Narita, M. Navarro, M. Nawrocki, S.T. Nazarko, T.Y. Nemchenko, A. Netea, M.G. Neufeld, T.P. Ney, P.A. Nezis, I.P. Nguyen, H.P. Nie, D. Nishino, I. Nislow, C. Nixon, R.A. Noda, T. Noegel, A.A. Nogalska, A. Noguchi, S. Notterpek, L. Novak, I. Nozaki, T. Nukina, N. Nürnberger, T. Nyfeler, B. Obara, K. Oberley, T.D. Oddo, S. Ogawa, M. Ohashi, T. Okamoto, K. Oleinick, N.L. Oliver, F.J. Olsen, L.J. Olsson, S. Opota, O. Osborne, T.F. Ostrander, G.K. Otsu, K. Ou, J.-H.J. Ouimet, M. Overholtzer, M. Ozpolat, B. Paganetti, P. Pagnini, U. Pallet, N. Palmer, G.E. Palumbo, C. Pan, T. Panaretakis, T. Pandey, U.B. Papackova, Z. Papassideri, I. Paris, I. Park, J. Park, O.K. Parys, J.B. Parzych, K.R. Patschan, S. Patterson, C. Pattingre, S. Pawelek, J.M. Peng, J. Perlmutter, D.H. Perrotta, I. Perry, G. Pervaiz, S. Peter, M. Peters, G.J. Petersen, M. Petrovski, G. Phang, J.M. Piacentini, M. Pierre, P. Pierrefite-Carle, V. Pierron, G. Pinkas-Kramarski, R. Piras, A. Piri, N. Platanias, L.C. Pöggeler, S. Poirot, M. Poletti, A. Poüs, C. Pozuelo-Rubio, M. Prætorius-Ibba, M. Prasad, A. Prescott, M. Priault, M. Produit-Zengaffinen, N. Progulske-Fox, A. Proikas-Cezanne, T. Przedborski, S. Przyklenk, K. Puertollano, R. Puyal, J. Qian, S.-B. Qin, L. Qin, Z.-H. Quaggin, S.E. Raben, N. Rabinowich, H. Rabkin, S.W. Rahman, I. Rami, A. Ramm, G. Randall, G. Randow, F. Rao, V.A. Rathmell, J.C. Ravikumar, B. Ray, S.K. Reed, B.H. Reed, J.C. Reggiori, F. Régnier-Vigouroux, A. Reichert, A.S. Reiners Jr., J.J. Reiter, R.J. Ren, J. Revuelta, J.L. Rhodes, C.J. Ritis, K. Rizzo, E. Robbins, J. Roberge, M. Roca, H. Roccheri, M.C. Rocchi, S. Rodemann, H.P. De Córdoba, S.R. Rohrer, B. Roninson, I.B. Rosen, K. Rost-Roszkowska, M.M. Rouis, M. Rouschop, K.M.A. Rovetta, F. Rubin, B.P. Rubinsztein, D.C. Ruckdeschel, K. Rucker III, E.B. Rudich, A. Rudolf, E. Ruiz-Opazo, N. Russo, R. Rusten, T.E. Ryan, K.M. Ryter, S.W. Sabatini, D.M. Sadoshima, J. Saha, T. Saitoh, T. Sakagami, H. Sakai, Y. Salekdeh, G.H. Salomoni, P. Salvaterra, P.M. Salvesen, G. Salvioli, R. Sanchez, A.M.J. Sánchez-Alcázar, J.A. Sánchez-Prieto, R. Sandri, M. Sankar, U. Sansanwal, P. Santambrogio, L. Saran, S. Sarkar, S. Sarwal, M. Sasakawa, C. Sasnauskiene, A. Sass, M. Sato, K. Sato, M. Schapira, A.H.V. Scharl, M. Schätzl, H.M. Scheper, W. Schiaffino, S. Schneider, C. Schneider, M.E. Schneider-Stock, R. Schoenlein, P.V. Schorderet, D.F. Schüller, C. Schwartz, G.K. Scorrano, L. Sealy, L. Seglen, P.O. Segura-Aguilar, J. Seiliez, I. Seleverstov, O. Sell, C. Seo, J.B. Separovic, D. Setaluri, V. Setoguchi, T. Settembre, C. Shacka, J.J. Shanmugam, M. Shapiro, I.M. Shaulian, E. Shaw, R.J. Shelhamer, J.H. Shen, H.-M. Shen, W.-C. Sheng, Z.-H. Shi, Y. Shibuya, K. Shidoji, Y. Shieh, J.-J. Shih, C.-M. Shimada, Y. Shimizu, S. Shintani, T. Shirihai, O.S. Shore, G.C. Sibirny, A.A. Sidhu, S.B. Sikorska, B. Silva-Zacarin, E.C.M. Simmons, A. Simon, A.K. Simon, H.-U. Simone, C. Simonsen, A. Sinclair, D.A. Singh, R. Sinha, D. Sinicrope, F.A. Sirko, A. Siu, P.M. Sivridis, E. Skop, V. Skulachev, V.P. Slack, R.S. Smaili, S.S. Smith, D.R. Soengas, M.S. Soldati, T. Song, X. Sood, A.K. Soong, T.W. Sotgia, F. Spector, S.A. Spies, C.D. Springer, W. Srinivasula, S.M. Stefanis, L. Steffan, J.S. Stendel, R. Stenmark, H. Stephanou, A. Stern, S.T. Sternberg, C. Stork, B. Strålfors, P. Subauste, C.S. Sui, X. Sulzer, D. Sun, J. Sun, S.-Y. Sun, Z.-J. Sung, J.J.Y. Suzuki, K. Suzuki, T. Swanson, M.S. Swanton, C. Sweeney, S.T. Sy, L.-K. Szabadkai, G. Tabas, I. Taegtmeyer, H. Tafani, M. Takács-Vellai, K. Takano, Y. Takegawa, K. Takemura, G. Takeshita, F. Talbot, N.J. Tan, K.S.W. Tanaka, K. Tanaka, K. Tang, D. Tang, D. Tanida, I. Tannous, B.A. Tavernarakis, N. Taylor, G.S. Taylor, G.A. Taylor, J.P. Terada, A.S. Terman, A. Tettamanti, G. Thevissen, K. Thompson, C.B. Thorburn, A. Thumm, M. Tian, F. Tian, Y. Tocchini-Valentini, G. Tolkovsky, A.M. Tomino, Y. Tönges, L. Tooze, S.A. Tournier, C. Tower, J. Towns, R. Trajkovic, V. Travassos, L.H. Tsai, T.-F. Tschan, M.P. Tsubata, T. Tsung, A. Turk, B. Turner, L.S. Tyagi, S.C. Uchiyama, Y. Ueno, T. Umekawa, M. Umemiya-Shirafuji, R. Unni, V.K. Vaccaro, M.I. Valente, E.M. Van Den Berghe, G. Van Der Klei, I.J. Van Doorn, W.G. Van Dyk, L.F. Van Egmond, M. Van Grunsven, L.A. Vandenabeele, P. Vandenberghe, W.P. Vanhorebeek, I. Vaquero, E.C. Velasco, G. Vellai, T. Vicencio, J.M. Vierstra, R.D. Vila, M. Vindis, C. Viola, G. Viscomi, M.T. Voitsekhovskaja, O.V. Von Haefen, C. Votruba, M. Wada, K. Wade-Martins, R. Walker, C.L. Walsh, C.M. Walter, J. Wan, X.-B. Wang, A. Wang, C. Wang, D. Wang, F. Wang, F. Wang, G. Wang, H. Wang, H.-G. Wang, H.-D. Wang, J. Wang, K. Wang, M. Wang, R.C. Wang, X. Wang, X. Wang, Y.-J. Wang, Y. Wang, Z. Wang, Z.C. Wang, Z. Wansink, D.G. Ward, D.M. Watada, H. Waters, S.L. Webster, P. Wei, L. Weihl, C.C. Weiss, W.A. Welford, S.M. Wen, L.-P. Whitehouse, C.A. Whitton, J.L. Whitworth, A.J. Wileman, T. Wiley, J.W. Wilkinson, S. Willbold, D. Williams, R.L. Williamson, P.R. Wouters, B.G. Wu, C. Wu, D.-C. Wu, W.K.K. Wyttenbach, A. Xavier, R.J. Xi, Z. Xia, P. Xiao, G. Xie, Z. Xie, Z. Xu, D.-Z. Xu, J. Xu, L. Xu, X. Yamamoto, A. Yamamoto, A. Yamashina, S. Yamashita, M. Yan, X. Yanagida, M. Yang, D.-S. Yang, E. Yang, J.-M. Yang, S.Y. Yang, W. Yang, W.Y. Yang, Z. Yao, M.-C. Yao, T.-P. Yeganeh, B. Yen, W.-L. Yin, J.-J. Yin, X.-M. Yoo, O.-J. Yoon, G. Yoon, S.-Y. Yorimitsu, T. Yoshikawa, Y. Yoshimori, T. Yoshimoto, K. You, H.J. Youle, R.J. Younes, A. Yu, L. Yu, L. Yu, S.-W. Yu, W.H. Yuan, Z.-M. Yue, Z. Yun, C.-H. Yuzaki, M. Zabirnyk, O. Silva-Zacarin, E. David Zacks, E. Zacksenhaus, L. Zaffaroni, N. Zakeri, Z. Zeh III, H.J. Zeitlin, S.O. Zhang, H. Zhang, H.-L. Zhang, J. Zhang, J.-P. Zhang, L. Zhang, L. Zhang, M.-Y. Zhang, X.D. Zhao, M. Zhao, Y.-F. Zhao, Y. Zhao, Z.J. Zheng, X. Zhivotovsky, B. Zhong, Q. Zhou, C.-Z. Zhu, C. Zhu, W.-G. Zhu, X.-F. Zhu, X. Zhu, Y. Zoladek, T. Zong, W.-X. Zorzano, A. Zschocke, J. Zuckerbraun, B.
- Abstract
In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. A key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process vs. those that measure flux through the autophagy pathway (i.e., the complete process); thus, a block in macroautophagy that results in autophagosome accumulation needs to be differentiated from stimuli that result in increased autophagic activity, defined as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (in most higher eukaryotes and some protists such as Dictyostelium) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the field understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to monitor autophagy. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular autophagy assays, we hope to encourage technical innovation in the field. © 2012 Landes Bioscience.
- Published
- 2012
11. Synaptotagmin III Isoform Is Compartmentalized in Pancreatic Β-Cells and Has a Functional Role in Exocytosis
- Author
-
Brown, Hilary, Meister, Bjorn, Deeney, Jude, Corkey, Barbara E., Yang, Shao-Nian, Larsson, Olof, Rhodes, C.J., Seino, Susumu, Berggren, Per-Olof, and Fried, Gabriel
- Subjects
Diabetes -- Physiological aspects ,Pancreatic beta cells -- Physiological aspects ,Exocytosis -- Physiological aspects ,Health ,Physiological aspects - Abstract
Synaptotagmin is involved in [Ca.sup.2+]-regulated secretion and has been suggested to serve as a general [Ca.sup.2+] sensor on the membrane of secretory vesicles in neuronal cells. Insulin exocytosis from the [...]
- Published
- 2000
12. Measles outbreaks in a population with declining vaccine uptake
- Author
-
Jansen, V.A.A., Stollenwerk, N., Jensen, H.J., Ramsay, M.E, Edmunds, W.J., and Rhodes, C.J.
- Subjects
Vaccination -- Demographic aspects -- Usage ,Measles -- Care and treatment -- Demographic aspects -- Prevention ,Science and technology ,Care and treatment ,Prevention ,Usage ,Demographic aspects - Abstract
Measles is a highly infectious and potentially dangerous disease. Before mass vaccination was started in the United Kingdom, measles caused an average of 100 deaths per year (1). Since the [...]
- Published
- 2003
13. Node Removal in Criminal Networks.
- Author
-
Petersen, R.R., Rhodes, C.J., and Wiil, U.K.
- Published
- 2011
- Full Text
- View/download PDF
14. The influence of viral infection on a plankton ecosystem undergoing nutrient enrichment
- Author
-
Rhodes, C.J. and Martin, A.P.
- Subjects
- *
VIRUS diseases , *PLANKTON populations , *POPULATION dynamics , *MARINE organisms , *MARINE ecology , *PLANT nutrients , *CARBON dioxide & the environment , *CLIMATE change - Abstract
Abstract: It is increasingly recognised that viruses are a significant active component of oceanic plankton ecosystems. They play an important role in biogeochemical cycles as well as being implicated in observed patterns of species abundance and diversity. The influence of viral infection in plankton ecosystems is not fully understood. Here we use a number of well-founded mathematical models to investigate the interplay of the ecological and epidemiological interactions of plankton and viruses in the sea. Of particular interest is the role of nutrient on the population dynamics. Nutrient forcing has been suggested as a means of absorbing excess anthropogenic atmospheric carbon dioxide by stimulating increased phytoplankton primary productivity. Here we show that enriching nutrient levels in the sea may decrease the amount of infected phytoplankton species thereby additionally enhancing the efficiency of the biological pump, a means by which carbon is transferred from the atmosphere to the deep ocean. [Copyright &y& Elsevier]
- Published
- 2010
- Full Text
- View/download PDF
15. Variational data assimilation with epidemic models
- Author
-
Rhodes, C.J. and Hollingsworth, T.D.
- Subjects
- *
EPIDEMICS , *BIOLOGICAL mathematical modeling , *COMMUNICABLE diseases , *EPIDEMIOLOGY , *FORECASTING , *PARAMETER estimation - Abstract
Abstract: Mathematical modelling is playing an increasing role in developing an understanding of the dynamics of communicable disease and assisting the construction and implementation of intervention strategies. The threat of novel emergent pathogens in human and animal hosts implies the requirement for methods that can robustly estimate epidemiological parameters and provide forecasts. Here, a technique called variational data assimilation is introduced as a means of optimally melding dynamic epidemic models with epidemiological observations and data to provide forecasts and parameter estimates. Using data from a simulated epidemic process the method is used to estimate the start time of an epidemic, to provide a forecast of future epidemic behaviour and estimate the basic reproductive ratio. A feature of the method is that it uses a basic continuous-time SIR model, which is often the first point of departure for epidemiological modelling during the early stages of an outbreak. The method is illustrated by application to data gathered during an outbreak of influenza in a school environment. [Copyright &y& Elsevier]
- Published
- 2009
- Full Text
- View/download PDF
16. The effect of superspreading on epidemic outbreak size distributions
- Author
-
Garske, T. and Rhodes, C.J.
- Subjects
- *
DISTRIBUTION (Probability theory) , *CHARACTERISTIC functions , *STOCHASTIC processes , *COMMUNICABLE diseases - Abstract
Abstract: Recently, evidence has been presented to suggest that there are significant heterogeneities in the transmission of communicable diseases. Here, a stochastic simulation model of an epidemic process that allows for these heterogeneities is used to demonstrate the potentially considerable effect that heterogeneity of transmission will have on epidemic outbreak size distributions. Our simulation results agree well with approximations gained from the theory of branching processes. Outbreak size distributions have previously been used to infer basic epidemiological parameters. We show that if superspreading does occur then such distributions must be interpreted with care. The simulation results are discussed in relation to measles epidemics in isolated populations and in predominantly urban scenarios. The effect of three different disease control policies on outbreak size distributions are shown for varying levels of heterogeneity and disease control effort. [Copyright &y& Elsevier]
- Published
- 2008
- Full Text
- View/download PDF
17. Free radicals, metals and antioxidants in oxidative stress-induced cancer
- Author
-
Valko, M., Rhodes, C.J., Moncol, J., Izakovic, M., and Mazur, M.
- Subjects
- *
FREE radical reactions , *NUCLEIC acids , *DNA damage , *TUMORS - Abstract
Abstract: Oxygen-free radicals, more generally known as reactive oxygen species (ROS) along with reactive nitrogen species (RNS) are well recognised for playing a dual role as both deleterious and beneficial species. The “two-faced” character of ROS is substantiated by growing body of evidence that ROS within cells act as secondary messengers in intracellular signalling cascades, which induce and maintain the oncogenic phenotype of cancer cells, however, ROS can also induce cellular senescence and apoptosis and can therefore function as anti-tumourigenic species. The cumulative production of ROS/RNS through either endogenous or exogenous insults is termed oxidative stress and is common for many types of cancer cell that are linked with altered redox regulation of cellular signalling pathways. Oxidative stress induces a cellular redox imbalance which has been found to be present in various cancer cells compared with normal cells; the redox imbalance thus may be related to oncogenic stimulation. DNA mutation is a critical step in carcinogenesis and elevated levels of oxidative DNA lesions (8-OH-G) have been noted in various tumours, strongly implicating such damage in the etiology of cancer. It appears that the DNA damage is predominantly linked with the initiation process. This review examines the evidence for involvement of the oxidative stress in the carcinogenesis process. Attention is focused on structural, chemical and biochemical aspects of free radicals, the endogenous and exogenous sources of their generation, the metal (iron, copper, chromium, cobalt, vanadium, cadmium, arsenic, nickel)-mediated formation of free radicals (e.g. Fenton chemistry), the DNA damage (both mitochondrial and nuclear), the damage to lipids and proteins by free radicals, the phenomenon of oxidative stress, cancer and the redox environment of a cell, the mechanisms of carcinogenesis and the role of signalling cascades by ROS; in particular, ROS activation of AP-1 (activator protein) and NF-κB (nuclear factor kappa B) signal transduction pathways, which in turn lead to the transcription of genes involved in cell growth regulatory pathways. The role of enzymatic (superoxide dismutase (Cu, Zn-SOD, Mn-SOD), catalase, glutathione peroxidase) and non-enzymatic antioxidants (Vitamin C, Vitamin E, carotenoids, thiol antioxidants (glutathione, thioredoxin and lipoic acid), flavonoids, selenium and others) in the process of carcinogenesis as well as the antioxidant interactions with various regulatory factors, including Ref-1, NF-κB, AP-1 are also reviewed. [Copyright &y& Elsevier]
- Published
- 2006
- Full Text
- View/download PDF
18. Synaptotagmin III isoform is compartmentalized in pancreatic beta-cells and has a functional role in exocytosis.
- Author
-
Brown, Hilary, Meister, Bjorn, Deeney, Jude, Corkey, Barbara E., Yang, Shao-Nian, Larsson, Olof, Rhodes, C.J., Seino, Susumu, Berggren, Per-Olof, Fried, Gabriel, Brown, H, Meister, B, Deeney, J, Corkey, B E, Yang, S N, Larsson, O, Seino, S, Berggren, P O, and Fried, G
- Subjects
MEMBRANE proteins ,EXOCYTOSIS ,CELL compartmentation ,PHYSIOLOGY - Abstract
Synaptotagmin is involved in Ca2+-regulated secretion and has been suggested to serve as a general Ca2+ sensor on the membrane of secretory vesicles in neuronal cells. Insulin exocytosis from the pancreatic beta-cell is an example of a Ca2+-dependent secretory process. Previous studies of pancreatic beta-cells were unable to show presence of synaptotagmin I. We now present biochemical and immunohistochemical data showing that synaptotagmin III is present in pancreatic beta-cells as well as in the insulin-secreting cell line HIT-T15 and in rat insulinoma. By subcellular fractionation, we found synaptotagmin III in high-density fractions together with insulin and secretogranin I, indicating colocalization of synaptotagmin III and insulin in secretory granules. We could also show that blockade of synaptotagmin III by a specific antibody inhibited Ca2+-induced changes in beta-cell membrane capacitance, suggesting that synaptotagmin III is part of the functional protein complex regulating beta-cell exocytosis. The synaptotagmin III antibody did not affect the activity of the voltage-gated L-type Ca2+-channel. These findings are compatible with the view that synaptotagmin III, because of its distinct localization in the pancreatic beta-cell, functionally modulates insulin exocytosis. This indicates that synaptotagmin may have a general role in the regulation of exocytosis not only in neuronal cells but also in endocrine cells. [ABSTRACT FROM AUTHOR]
- Published
- 2000
- Full Text
- View/download PDF
19. Contact rate calculation for a basic epidemic model
- Author
-
Rhodes, C.J. and Anderson, R.M.
- Subjects
- *
MEDICAL model , *EPIDEMICS , *COMMUNICABLE diseases , *EPIDEMIOLOGY - Abstract
Abstract: Mass-action epidemic models are the foundation of the majority of studies of disease dynamics in human and animal populations. Here, a kinetic model of mobile susceptible and infective individuals in a two-dimensional domain is introduced, and an examination of the contact process results in a mass-action-like term for the generation of new infectives. The conditions under which density dependent and frequency dependent transmission terms emerge are clarified. Moreover, this model suggests that epidemics in large mobile spatially distributed populations can be well described by homogeneously mixing mass-action models. The analysis generates an analytic formula for the contact rate (β) and the basic reproductive ratio (R 0) of an infectious pathogen, which contains a mixture of demographic and epidemiological parameters. The analytic results are compared with a simulation and are shown to give good agreement. The simulation permits the exploration of more realistic movement strategies and their consequent effect on epidemic dynamics. [Copyright &y& Elsevier]
- Published
- 2008
- Full Text
- View/download PDF
20. Leptin signaling in the dorsomedial hypothalamus and its role in feeding circuits.
- Author
-
Faouzi, M., Leinninger, G.M., Louis, G., Leshan, R., Jones, J.C., Rhodes, C.J., and Münzberg, H.
- Published
- 2007
- Full Text
- View/download PDF
21. Power laws governing epidemics in isolated populations.
- Author
-
Rhodes, C.J. and Anderson, R.M.
- Subjects
- *
MEASLES , *EPIDEMIOLOGY - Abstract
Examines the epidemiology of measles outbreaks in an island population. Power laws governing epidemics; Description of a model based on the social interaction between individual hosts; Indications of regularities in the system.
- Published
- 1996
- Full Text
- View/download PDF
22. Corrigendum to “Variational data assimilation with epidemic models” [J. Theor. Biol. 258 (2009) 591–602]
- Author
-
Rhodes, C.J. and Hollingsworth, T.D.
- Published
- 2009
- Full Text
- View/download PDF
23. Dynamics in a lattice epidemic model
- Author
-
Rhodes, C.J. and Anderson, R.M.
- Published
- 1996
- Full Text
- View/download PDF
24. Forest-fire as a model for the dynamics of disease epidemics
- Author
-
Rhodes, C.J. and Anderson, R.M.
- Published
- 1998
- Full Text
- View/download PDF
25. An unusually small muon-electron coupling constant — muonium addition to biacetyl
- Author
-
Macrae, R.M., Rhodes, C.J., Nishiyama, K., and Nagamine, K.
- Published
- 1996
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.