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Showing 1 to 12 of 114 entries
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Intermittent dislocation flow in viscoplastic deformation.

Nature

Miguel MC, Vespignani A, Zapperi S, Weiss J, Grasso JR.
PMID: 11287948
Nature. 2001 Apr 05;410(6829):667-71. doi: 10.1038/35070524.

The viscoplastic deformation (creep) of crystalline materials under constant stress involves the motion of a large number of interacting dislocations. Analytical methods and sophisticated 'dislocation dynamics' simulations have proved very effective in the study of dislocation patterning, and have...

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Miguel MC, Vespignani A, Zapperi S, et al. Intermittent dislocation flow in viscoplastic deformation. Nature. 2001;410(6829):667-71doi: 10.1038/35070524.
Miguel, M. C., Vespignani, A., Zapperi, S., Weiss, J., & Grasso, J. R. (2001). Intermittent dislocation flow in viscoplastic deformation. Nature, 410(6829), 667-71. https://doi.org/10.1038/35070524
Miguel, M C, et al. "Intermittent dislocation flow in viscoplastic deformation." Nature vol. 410,6829 (2001): 667-71. doi: https://doi.org/10.1038/35070524
Miguel MC, Vespignani A, Zapperi S, Weiss J, Grasso JR. Intermittent dislocation flow in viscoplastic deformation. Nature. 2001 Apr 05;410(6829):667-71. doi: 10.1038/35070524. PMID: 11287948.
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Dynamical real space renormalization group applied to sandpile models.

Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics

Ivashkevich EV, Povolotsky AM, Vespignani A, Zapperi S.
PMID: 11969882
Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 1999 Aug;60(2):1239-51. doi: 10.1103/physreve.60.1239.

A general framework for the renormalization group analysis of self-organized critical sandpile models is formulated. The usual real space renormalization scheme for lattice models when applied to nonequilibrium dynamical models must be supplemented by feedback relations coming from the...

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Ivashkevich EV, Povolotsky AM, Vespignani A, et al. Dynamical real space renormalization group applied to sandpile models. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 1999;60(2):1239-51doi: 10.1103/physreve.60.1239.
Ivashkevich, E. V., Povolotsky, A. M., Vespignani, A., & Zapperi, S. (1999). Dynamical real space renormalization group applied to sandpile models. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 60(2), 1239-51. https://doi.org/10.1103/physreve.60.1239
Ivashkevich, E V, et al. "Dynamical real space renormalization group applied to sandpile models." Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics vol. 60,2 (1999): 1239-51. doi: https://doi.org/10.1103/physreve.60.1239
Ivashkevich EV, Povolotsky AM, Vespignani A, Zapperi S. Dynamical real space renormalization group applied to sandpile models. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 1999 Aug;60(2):1239-51. doi: 10.1103/physreve.60.1239. PMID: 11969882.
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Superovulatory response and quality of embryos recovered from anestrus ewes after a single injection of porcine FSH dissolved in polyvinylpyrrolidone.

Theriogenology

Dattena M, Vespignani S, Branca A, Gallus M, Ledda S, Naitana S, Cappai P.
PMID: 16727530
Theriogenology. 1994 Aug 01;42(2):235-9. doi: 10.1016/0093-691x(94)90267-4.

The effects of a single injection of porcine FSH (pFSH) administered in long acting vehicle on the superovulatory response of milk (Sarda breed) sheep were determined during the anestrous season. The sheep (n=42), synchronized with intravaginal sponges (40 mg...

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Dattena M, Vespignani S, Branca A, et al. Superovulatory response and quality of embryos recovered from anestrus ewes after a single injection of porcine FSH dissolved in polyvinylpyrrolidone. Theriogenology. 1994;42(2):235-9doi: 10.1016/0093-691x(94)90267-4.
Dattena, M., Vespignani, S., Branca, A., Gallus, M., Ledda, S., Naitana, S., & Cappai, P. (1994). Superovulatory response and quality of embryos recovered from anestrus ewes after a single injection of porcine FSH dissolved in polyvinylpyrrolidone. Theriogenology, 42(2), 235-9. https://doi.org/10.1016/0093-691x(94)90267-4
Dattena, M, et al. "Superovulatory response and quality of embryos recovered from anestrus ewes after a single injection of porcine FSH dissolved in polyvinylpyrrolidone." Theriogenology vol. 42,2 (1994): 235-9. doi: https://doi.org/10.1016/0093-691x(94)90267-4
Dattena M, Vespignani S, Branca A, Gallus M, Ledda S, Naitana S, Cappai P. Superovulatory response and quality of embryos recovered from anestrus ewes after a single injection of porcine FSH dissolved in polyvinylpyrrolidone. Theriogenology. 1994 Aug 01;42(2):235-9. doi: 10.1016/0093-691x(94)90267-4. PMID: 16727530.
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Towards a characterization of behavior-disease models.

PloS one

Perra N, Balcan D, Gonçalves B, Vespignani A.
PMID: 21826228
PLoS One. 2011;6(8):e23084. doi: 10.1371/journal.pone.0023084. Epub 2011 Aug 03.

The last decade saw the advent of increasingly realistic epidemic models that leverage on the availability of highly detailed census and human mobility data. Data-driven models aim at a granularity down to the level of households or single individuals....

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Perra N, Balcan D, Gonçalves B, et al. Towards a characterization of behavior-disease models. PLoS One. 2011;6(8):e23084doi: 10.1371/journal.pone.0023084.
Perra, N., Balcan, D., Gonçalves, B., & Vespignani, A. (2011). Towards a characterization of behavior-disease models. PloS one, 6(8), e23084. https://doi.org/10.1371/journal.pone.0023084
Perra, Nicola, et al. "Towards a characterization of behavior-disease models." PloS one vol. 6,8 (2011): e23084. doi: https://doi.org/10.1371/journal.pone.0023084
Perra N, Balcan D, Gonçalves B, Vespignani A. Towards a characterization of behavior-disease models. PLoS One. 2011;6(8):e23084. doi: 10.1371/journal.pone.0023084. Epub 2011 Aug 03. PMID: 21826228; PMCID: PMC3149628.
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Renormalization group approach to the critical behavior of the forest-fire model.

Physical review letters

Loreto V, Pietronero L, Vespignani A, Zapperi S.
PMID: 10060028
Phys Rev Lett. 1995 Jul 17;75(3):465-468. doi: 10.1103/PhysRevLett.75.465.

No abstract available.

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Loreto V, Pietronero L, Vespignani A, et al. Renormalization group approach to the critical behavior of the forest-fire model. Phys Rev Lett. 1995;75(3):465-468doi: 10.1103/PhysRevLett.75.465.
Loreto, V., Pietronero, L., Vespignani, A., & Zapperi, S. (1995). Renormalization group approach to the critical behavior of the forest-fire model. Physical review letters, 75(3), 465-468. https://doi.org/10.1103/PhysRevLett.75.465
Loreto, et al. "Renormalization group approach to the critical behavior of the forest-fire model." Physical review letters vol. 75,3 (1995): 465-468. doi: https://doi.org/10.1103/PhysRevLett.75.465
Loreto V, Pietronero L, Vespignani A, Zapperi S. Renormalization group approach to the critical behavior of the forest-fire model. Phys Rev Lett. 1995 Jul 17;75(3):465-468. doi: 10.1103/PhysRevLett.75.465. PMID: 10060028.
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Renormalization of Nonequilibrium Systems with Critical Stationary States.

Physical review letters

Loreto V, Vespignani A, Zapperi S.
PMID: 10062569
Phys Rev Lett. 1996 Nov 25;77(22):4560-4563. doi: 10.1103/PhysRevLett.77.4560.

No abstract available.

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Loreto V, Vespignani A, Zapperi S. Renormalization of Nonequilibrium Systems with Critical Stationary States. Phys Rev Lett. 1996;77(22):4560-4563doi: 10.1103/PhysRevLett.77.4560.
Loreto, V., Vespignani, A., & Zapperi, S. (1996). Renormalization of Nonequilibrium Systems with Critical Stationary States. Physical review letters, 77(22), 4560-4563. https://doi.org/10.1103/PhysRevLett.77.4560
Loreto, et al. "Renormalization of Nonequilibrium Systems with Critical Stationary States." Physical review letters vol. 77,22 (1996): 4560-4563. doi: https://doi.org/10.1103/PhysRevLett.77.4560
Loreto V, Vespignani A, Zapperi S. Renormalization of Nonequilibrium Systems with Critical Stationary States. Phys Rev Lett. 1996 Nov 25;77(22):4560-4563. doi: 10.1103/PhysRevLett.77.4560. PMID: 10062569.
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Experimental evidence for critical dynamics in microfracturing processes.

Physical review letters

Alippi A, Costantini M, Paparo G, Petri A, Vespignani A.
PMID: 10057377
Phys Rev Lett. 1994 Dec 19;73(25):3423-3426. doi: 10.1103/PhysRevLett.73.3423.

No abstract available.

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Alippi A, Costantini M, Paparo G, et al. Experimental evidence for critical dynamics in microfracturing processes. Phys Rev Lett. 1994;73(25):3423-3426doi: 10.1103/PhysRevLett.73.3423.
Alippi, A., Costantini, M., Paparo, G., Petri, A., & Vespignani, A. (1994). Experimental evidence for critical dynamics in microfracturing processes. Physical review letters, 73(25), 3423-3426. https://doi.org/10.1103/PhysRevLett.73.3423
Alippi, et al. "Experimental evidence for critical dynamics in microfracturing processes." Physical review letters vol. 73,25 (1994): 3423-3426. doi: https://doi.org/10.1103/PhysRevLett.73.3423
Alippi A, Costantini M, Paparo G, Petri A, Vespignani A. Experimental evidence for critical dynamics in microfracturing processes. Phys Rev Lett. 1994 Dec 19;73(25):3423-3426. doi: 10.1103/PhysRevLett.73.3423. PMID: 10057377.
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An Integrated Model to Improve Medication Reconciliation in Oncology: Prospective Interventional Study.

Journal of medical Internet research

Passardi A, Serra P, Donati C, Fiori F, Prati S, Vespignani R, Taglioni G, Farfaneti Ghetti P, Martinelli G, Nanni O, Altini M, Frassineti GL, Minguzzi MV.
PMID: 34932001
J Med Internet Res. 2021 Dec 20;23(12):e31321. doi: 10.2196/31321.

BACKGROUND: Accurate medication reconciliation reduces the risk of drug incompatibilities and adverse events that can occur during transitions in care. Community pharmacies (CPs) are a crucial part of the health care system and could be involved in collecting essential...

Cite
Passardi A, Serra P, Donati C, et al. An Integrated Model to Improve Medication Reconciliation in Oncology: Prospective Interventional Study. J Med Internet Res. 2021;23(12):e31321doi: 10.2196/31321.
Passardi, A., Serra, P., Donati, C., Fiori, F., Prati, S., Vespignani, R., Taglioni, G., Farfaneti Ghetti, P., Martinelli, G., Nanni, O., Altini, M., Frassineti, G. L., & Minguzzi, M. V. (2021). An Integrated Model to Improve Medication Reconciliation in Oncology: Prospective Interventional Study. Journal of medical Internet research, 23(12), e31321. https://doi.org/10.2196/31321
Passardi, Alessandro, et al. "An Integrated Model to Improve Medication Reconciliation in Oncology: Prospective Interventional Study." Journal of medical Internet research vol. 23,12 (2021): e31321. doi: https://doi.org/10.2196/31321
Passardi A, Serra P, Donati C, Fiori F, Prati S, Vespignani R, Taglioni G, Farfaneti Ghetti P, Martinelli G, Nanni O, Altini M, Frassineti GL, Minguzzi MV. An Integrated Model to Improve Medication Reconciliation in Oncology: Prospective Interventional Study. J Med Internet Res. 2021 Dec 20;23(12):e31321. doi: 10.2196/31321. PMID: 34932001.
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A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models.

ArXiv

Liu D, Clemente L, Poirier C, Ding X, Chinazzi M, Davis JT, Vespignani A, Santillana M.
PMID: 32550248
ArXiv. 2020 Apr 08;

We present a timely and novel methodology that combines disease estimates from mechanistic models with digital traces, via interpretable machine-learning methodologies, to reliably forecast COVID-19 activity in Chinese provinces in real-time. Specifically, our method is able to produce stable...

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Liu D, Clemente L, Poirier C, et al. A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models. ArXiv. 2020;
Liu, D., Clemente, L., Poirier, C., Ding, X., Chinazzi, M., Davis, J. T., Vespignani, A., & Santillana, M. (2020). A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models. ArXiv, .
Liu, Dianbo, et al. "A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models." ArXiv vol. (2020).
Liu D, Clemente L, Poirier C, Ding X, Chinazzi M, Davis JT, Vespignani A, Santillana M. A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models. ArXiv. 2020 Apr 08; PMID: 32550248; PMCID: PMC7280902.
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Author Correction: Infectivity, susceptibility, and risk factors associated with SARS-CoV-2 transmission under intensive contact tracing in Hunan, China.

Nature communications

Hu S, Wang W, Wang Y, Litvinova M, Luo K, Ren L, Sun Q, Chen X, Zeng G, Li J, Liang L, Deng Z, Zheng W, Li M, Yang H, Guo J, Wang K, Chen X, Liu Z, Yan H, Shi H, Chen Z, Zhou Y, Sun K, Vespignani A, Viboud C, Gao L, Ajelli M, Yu H.
PMID: 33931645
Nat Commun. 2021 Apr 30;12(1):2561. doi: 10.1038/s41467-021-23108-w.

No abstract available.

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Hu S, Wang W, Wang Y, et al. Author Correction: Infectivity, susceptibility, and risk factors associated with SARS-CoV-2 transmission under intensive contact tracing in Hunan, China. Nat Commun. 2021;12(1):2561doi: 10.1038/s41467-021-23108-w.
Hu, S., Wang, W., Wang, Y., Litvinova, M., Luo, K., Ren, L., Sun, Q., Chen, X., Zeng, G., Li, J., Liang, L., Deng, Z., Zheng, W., Li, M., Yang, H., Guo, J., Wang, K., Chen, X., Liu, Z., Yan, H., Shi, H., Chen, Z., Zhou, Y., Sun, K., Vespignani, A., Viboud, C., Gao, L., Ajelli, M., & Yu, H. (2021). Author Correction: Infectivity, susceptibility, and risk factors associated with SARS-CoV-2 transmission under intensive contact tracing in Hunan, China. Nature communications, 12(1), 2561. https://doi.org/10.1038/s41467-021-23108-w
Hu, Shixiong, et al. "Author Correction: Infectivity, susceptibility, and risk factors associated with SARS-CoV-2 transmission under intensive contact tracing in Hunan, China." Nature communications vol. 12,1 (2021): 2561. doi: https://doi.org/10.1038/s41467-021-23108-w
Hu S, Wang W, Wang Y, Litvinova M, Luo K, Ren L, Sun Q, Chen X, Zeng G, Li J, Liang L, Deng Z, Zheng W, Li M, Yang H, Guo J, Wang K, Chen X, Liu Z, Yan H, Shi H, Chen Z, Zhou Y, Sun K, Vespignani A, Viboud C, Gao L, Ajelli M, Yu H. Author Correction: Infectivity, susceptibility, and risk factors associated with SARS-CoV-2 transmission under intensive contact tracing in Hunan, China. Nat Commun. 2021 Apr 30;12(1):2561. doi: 10.1038/s41467-021-23108-w. PMID: 33931645; PMCID: PMC8085642.
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An Integrated Model to Improve Medication Reconciliation in Oncology: Prospective Interventional Study.

Journal of medical Internet research

Passardi A, Serra P, Donati C, Fiori F, Prati S, Vespignani R, Taglioni G, Farfaneti Ghetti P, Martinelli G, Nanni O, Altini M, Frassineti GL, Minguzzi MV.
PMID: 34932001
J Med Internet Res. 2021 Dec 20;23(12):e31321. doi: 10.2196/31321.

BACKGROUND: Accurate medication reconciliation reduces the risk of drug incompatibilities and adverse events that can occur during transitions in care. Community pharmacies (CPs) are a crucial part of the health care system and could be involved in collecting essential...

Cite
Passardi A, Serra P, Donati C, et al. An Integrated Model to Improve Medication Reconciliation in Oncology: Prospective Interventional Study. J Med Internet Res. 2021;23(12):e31321doi: 10.2196/31321.
Passardi, A., Serra, P., Donati, C., Fiori, F., Prati, S., Vespignani, R., Taglioni, G., Farfaneti Ghetti, P., Martinelli, G., Nanni, O., Altini, M., Frassineti, G. L., & Minguzzi, M. V. (2021). An Integrated Model to Improve Medication Reconciliation in Oncology: Prospective Interventional Study. Journal of medical Internet research, 23(12), e31321. https://doi.org/10.2196/31321
Passardi, Alessandro, et al. "An Integrated Model to Improve Medication Reconciliation in Oncology: Prospective Interventional Study." Journal of medical Internet research vol. 23,12 (2021): e31321. doi: https://doi.org/10.2196/31321
Passardi A, Serra P, Donati C, Fiori F, Prati S, Vespignani R, Taglioni G, Farfaneti Ghetti P, Martinelli G, Nanni O, Altini M, Frassineti GL, Minguzzi MV. An Integrated Model to Improve Medication Reconciliation in Oncology: Prospective Interventional Study. J Med Internet Res. 2021 Dec 20;23(12):e31321. doi: 10.2196/31321. PMID: 34932001.
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The effect of human mobility and control measures on the COVID-19 epidemic in China.

medRxiv : the preprint server for health sciences

Kraemer MUG, Yang CH, Gutierrez B, Wu CH, Klein B, Pigott DM, du Plessis L, Faria NR, Li R, Hanage WP, Brownstein JS, Layan M, Vespignani A, Tian H, Dye C, Cauchemez S, Pybus OG, Scarpino SV.
PMID: 32511452
medRxiv. 2020 Mar 06; doi: 10.1101/2020.03.02.20026708.

The ongoing COVID-19 outbreak has expanded rapidly throughout China. Major behavioral, clinical, and state interventions are underway currently to mitigate the epidemic and prevent the persistence of the virus in human populations in China and worldwide. It remains unclear...

Cite
Kraemer MUG, Yang CH, Gutierrez B, et al. The effect of human mobility and control measures on the COVID-19 epidemic in China. medRxiv. 2020;doi: 10.1101/2020.03.02.20026708.
Kraemer, M. U. G., Yang, C. H., Gutierrez, B., Wu, C. H., Klein, B., Pigott, D. M., du Plessis, L., Faria, N. R., Li, R., Hanage, W. P., Brownstein, J. S., Layan, M., Vespignani, A., Tian, H., Dye, C., Cauchemez, S., Pybus, O. G., & Scarpino, S. V. (2020). The effect of human mobility and control measures on the COVID-19 epidemic in China. medRxiv : the preprint server for health sciences, . https://doi.org/10.1101/2020.03.02.20026708
Kraemer, Moritz U G, et al. "The effect of human mobility and control measures on the COVID-19 epidemic in China." medRxiv : the preprint server for health sciences vol. (2020). doi: https://doi.org/10.1101/2020.03.02.20026708
Kraemer MUG, Yang CH, Gutierrez B, Wu CH, Klein B, Pigott DM, du Plessis L, Faria NR, Li R, Hanage WP, Brownstein JS, Layan M, Vespignani A, Tian H, Dye C, Cauchemez S, Pybus OG, Scarpino SV. The effect of human mobility and control measures on the COVID-19 epidemic in China. medRxiv. 2020 Mar 06; doi: 10.1101/2020.03.02.20026708. PMID: 32511452; PMCID: PMC7239080.
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