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Showing 1 to 12 of 79 entries
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A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study.

JMIR mHealth and uHealth

Naughton F, Hopewell S, Lathia N, Schalbroeck R, Brown C, Mascolo C, McEwen A, Sutton S.
PMID: 27637405
JMIR Mhealth Uhealth. 2016 Sep 16;4(3):e106. doi: 10.2196/mhealth.5787.

BACKGROUND: A major cause of lapse and relapse to smoking during a quit attempt is craving triggered by cues from a smoker's immediate environment. To help smokers address these cue-induced cravings when attempting to quit, we have developed a...

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Naughton F, Hopewell S, Lathia N, et al. A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study. JMIR Mhealth Uhealth. 2016;4(3):e106doi: 10.2196/mhealth.5787.
Naughton, F., Hopewell, S., Lathia, N., Schalbroeck, R., Brown, C., Mascolo, C., McEwen, A., & Sutton, S. (2016). A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study. JMIR mHealth and uHealth, 4(3), e106. https://doi.org/10.2196/mhealth.5787
Naughton, Felix, et al. "A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study." JMIR mHealth and uHealth vol. 4,3 (2016): e106. doi: https://doi.org/10.2196/mhealth.5787
Naughton F, Hopewell S, Lathia N, Schalbroeck R, Brown C, Mascolo C, McEwen A, Sutton S. A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study. JMIR Mhealth Uhealth. 2016 Sep 16;4(3):e106. doi: 10.2196/mhealth.5787. PMID: 27637405; PMCID: PMC5045522.
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Characterization of tip size and geometry of the pipettes used in scanning ion conductance microscopy.

Micron (Oxford, England : 1993)

Tognoni E, Baschieri P, Ascoli C, Pellegrini M, Pellegrino M.
PMID: 26826619
Micron. 2016 Apr;83:11-8. doi: 10.1016/j.micron.2016.01.002. Epub 2016 Jan 15.

Scanning ion-conductance microscopy (SICM) belongs to the family of scanning-probe microscopies. The spatial resolution of these techniques is limited by the size of the probe. In SICM the probe is a pipette, obtained by heating and pulling a glass...

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Tognoni E, Baschieri P, Ascoli C, et al. Characterization of tip size and geometry of the pipettes used in scanning ion conductance microscopy. Micron. 2016;83:11-8doi: 10.1016/j.micron.2016.01.002.
Tognoni, E., Baschieri, P., Ascoli, C., Pellegrini, M., & Pellegrino, M. (2016). Characterization of tip size and geometry of the pipettes used in scanning ion conductance microscopy. Micron (Oxford, England : 1993), 8311-8. https://doi.org/10.1016/j.micron.2016.01.002
Tognoni, Elisabetta, et al. "Characterization of tip size and geometry of the pipettes used in scanning ion conductance microscopy." Micron (Oxford, England : 1993) vol. 83 (2016): 11-8. doi: https://doi.org/10.1016/j.micron.2016.01.002
Tognoni E, Baschieri P, Ascoli C, Pellegrini M, Pellegrino M. Characterization of tip size and geometry of the pipettes used in scanning ion conductance microscopy. Micron. 2016 Apr;83:11-8. doi: 10.1016/j.micron.2016.01.002. Epub 2016 Jan 15. PMID: 26826619.
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Pain assessment in animal models: do we need further studies?.

Journal of pain research

Gigliuto C, De Gregori M, Malafoglia V, Raffaeli W, Compagnone C, Visai L, Petrini P, Avanzini MA, Muscoli C, Viganò J, Calabrese F, Dominioni T, Allegri M, Cobianchi L.
PMID: 24855386
J Pain Res. 2014 May 08;7:227-36. doi: 10.2147/JPR.S59161. eCollection 2014.

In the last two decades, animal models have become important tools in understanding and treating pain, and in predicting analgesic efficacy. Although rodent models retain a dominant role in the study of pain mechanisms, large animal models may predict...

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Gigliuto C, De Gregori M, Malafoglia V, et al. Pain assessment in animal models: do we need further studies?. J Pain Res. 2014;7:227-36doi: 10.2147/JPR.S59161.
Gigliuto, C., De Gregori, M., Malafoglia, V., Raffaeli, W., Compagnone, C., Visai, L., Petrini, P., Avanzini, M. A., Muscoli, C., Viganò, J., Calabrese, F., Dominioni, T., Allegri, M., & Cobianchi, L. (2014). Pain assessment in animal models: do we need further studies?. Journal of pain research, 7227-36. https://doi.org/10.2147/JPR.S59161
Gigliuto, Carmelo, et al. "Pain assessment in animal models: do we need further studies?." Journal of pain research vol. 7 (2014): 227-36. doi: https://doi.org/10.2147/JPR.S59161
Gigliuto C, De Gregori M, Malafoglia V, Raffaeli W, Compagnone C, Visai L, Petrini P, Avanzini MA, Muscoli C, Viganò J, Calabrese F, Dominioni T, Allegri M, Cobianchi L. Pain assessment in animal models: do we need further studies?. J Pain Res. 2014 May 08;7:227-36. doi: 10.2147/JPR.S59161. eCollection 2014. PMID: 24855386; PMCID: PMC4020878.
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Assessment of intratumor immune-microenvironment in colorectal cancers with extranodal extension of nodal metastases.

Cancer cell international

Fassan M, Vianello L, Sacchi D, Fanelli GN, Munari G, Scarpa M, Cappellesso R, Loupakis F, Lanza C, Salmaso R, Mescoli C, Valeri N, Agostini M, D'Angelo E, Lonardi S, Pucciarelli S, Veronese N, Luchini C, Rugge M.
PMID: 30202242
Cancer Cell Int. 2018 Sep 06;18:131. doi: 10.1186/s12935-018-0634-8. eCollection 2018.

BACKGROUND: No data is available on the molecular background of the extra-nodal extension (ENE) of lymph node metastasis (LN) in colorectal cancer (CRC).METHODS: A series of 22 ENE-positive CRCs was considered and three samples per case were selected (the...

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Fassan M, Vianello L, Sacchi D, et al. Assessment of intratumor immune-microenvironment in colorectal cancers with extranodal extension of nodal metastases. Cancer Cell Int. 2018;18:131doi: 10.1186/s12935-018-0634-8.
Fassan, M., Vianello, L., Sacchi, D., Fanelli, G. N., Munari, G., Scarpa, M., Cappellesso, R., Loupakis, F., Lanza, C., Salmaso, R., Mescoli, C., Valeri, N., Agostini, M., D'Angelo, E., Lonardi, S., Pucciarelli, S., Veronese, N., Luchini, C., & Rugge, M. (2018). Assessment of intratumor immune-microenvironment in colorectal cancers with extranodal extension of nodal metastases. Cancer cell international, 18131. https://doi.org/10.1186/s12935-018-0634-8
Fassan, Matteo, et al. "Assessment of intratumor immune-microenvironment in colorectal cancers with extranodal extension of nodal metastases." Cancer cell international vol. 18 (2018): 131. doi: https://doi.org/10.1186/s12935-018-0634-8
Fassan M, Vianello L, Sacchi D, Fanelli GN, Munari G, Scarpa M, Cappellesso R, Loupakis F, Lanza C, Salmaso R, Mescoli C, Valeri N, Agostini M, D'Angelo E, Lonardi S, Pucciarelli S, Veronese N, Luchini C, Rugge M. Assessment of intratumor immune-microenvironment in colorectal cancers with extranodal extension of nodal metastases. Cancer Cell Int. 2018 Sep 06;18:131. doi: 10.1186/s12935-018-0634-8. eCollection 2018. PMID: 30202242; PMCID: PMC6127990.
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Paradoxical effect of fat diet in matrix metalloproteinases induced mitochondrial dysfunction in diabetic cardiomyopathy.

Journal of cardiovascular medicine (Hagerstown, Md.)

Gliozzi M, Scarano F, Musolino V, Carresi C, Scarcella A, Nucera S, Scicchitano M, Ruga S, Bosco F, Maiuolo J, Macrì R, Zito MC, Oppedisano F, Guarnieri L, Mollace R, Palma E, Muscoli C, Mollace V.
PMID: 33633042
J Cardiovasc Med (Hagerstown). 2021 Apr 01;22(4):268-278. doi: 10.2459/JCM.0000000000001046.

AIMS: Diabetic cardiomyopathy represents the main cause of death among diabetic people. Despite this evidence, the molecular mechanisms triggered by impaired glucose and lipid metabolism inducing heart damage remain unclear. The aim of our study was to investigate the...

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Gliozzi M, Scarano F, Musolino V, et al. Paradoxical effect of fat diet in matrix metalloproteinases induced mitochondrial dysfunction in diabetic cardiomyopathy. J Cardiovasc Med (Hagerstown). 2021;22(4):268-278doi: 10.2459/JCM.0000000000001046.
Gliozzi, M., Scarano, F., Musolino, V., Carresi, C., Scarcella, A., Nucera, S., Scicchitano, M., Ruga, S., Bosco, F., Maiuolo, J., Macrì, R., Zito, M. C., Oppedisano, F., Guarnieri, L., Mollace, R., Palma, E., Muscoli, C., & Mollace, V. (2021). Paradoxical effect of fat diet in matrix metalloproteinases induced mitochondrial dysfunction in diabetic cardiomyopathy. Journal of cardiovascular medicine (Hagerstown, Md.), 22(4), 268-278. https://doi.org/10.2459/JCM.0000000000001046
Gliozzi, Micaela, et al. "Paradoxical effect of fat diet in matrix metalloproteinases induced mitochondrial dysfunction in diabetic cardiomyopathy." Journal of cardiovascular medicine (Hagerstown, Md.) vol. 22,4 (2021): 268-278. doi: https://doi.org/10.2459/JCM.0000000000001046
Gliozzi M, Scarano F, Musolino V, Carresi C, Scarcella A, Nucera S, Scicchitano M, Ruga S, Bosco F, Maiuolo J, Macrì R, Zito MC, Oppedisano F, Guarnieri L, Mollace R, Palma E, Muscoli C, Mollace V. Paradoxical effect of fat diet in matrix metalloproteinases induced mitochondrial dysfunction in diabetic cardiomyopathy. J Cardiovasc Med (Hagerstown). 2021 Apr 01;22(4):268-278. doi: 10.2459/JCM.0000000000001046. PMID: 33633042.
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The muscle to bone axis (and viceversa): An encrypted language affecting tissues and organs and yet to be codified?.

Pharmacological research

Bosco F, Musolino V, Gliozzi M, Nucera S, Carresi C, Zito MC, Scarano F, Scicchitano M, Reale F, Ruga S, Maiuolo J, Macrì R, Guarnieri L, Coppoletta AR, Mollace R, Muscoli C, Palma E, Mollace V.
PMID: 33453372
Pharmacol Res. 2021 Mar;165:105427. doi: 10.1016/j.phrs.2021.105427. Epub 2021 Jan 13.

Skeletal muscles and bone tissue form the musculoskeletal apparatus, a complex system essential for the voluntary movement. The loss of muscle mass and muscle strength is often associated with a loss of bone mass, in a "hazardous duet" which...

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Bosco F, Musolino V, Gliozzi M, et al. The muscle to bone axis (and viceversa): An encrypted language affecting tissues and organs and yet to be codified?. Pharmacol Res. 2021;165:105427doi: 10.1016/j.phrs.2021.105427.
Bosco, F., Musolino, V., Gliozzi, M., Nucera, S., Carresi, C., Zito, M. C., Scarano, F., Scicchitano, M., Reale, F., Ruga, S., Maiuolo, J., Macrì, R., Guarnieri, L., Coppoletta, A. R., Mollace, R., Muscoli, C., Palma, E., & Mollace, V. (2021). The muscle to bone axis (and viceversa): An encrypted language affecting tissues and organs and yet to be codified?. Pharmacological research, 165105427. https://doi.org/10.1016/j.phrs.2021.105427
Bosco, Francesca, et al. "The muscle to bone axis (and viceversa): An encrypted language affecting tissues and organs and yet to be codified?." Pharmacological research vol. 165 (2021): 105427. doi: https://doi.org/10.1016/j.phrs.2021.105427
Bosco F, Musolino V, Gliozzi M, Nucera S, Carresi C, Zito MC, Scarano F, Scicchitano M, Reale F, Ruga S, Maiuolo J, Macrì R, Guarnieri L, Coppoletta AR, Mollace R, Muscoli C, Palma E, Mollace V. The muscle to bone axis (and viceversa): An encrypted language affecting tissues and organs and yet to be codified?. Pharmacol Res. 2021 Mar;165:105427. doi: 10.1016/j.phrs.2021.105427. Epub 2021 Jan 13. PMID: 33453372.
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Segmentation-free Heart Pathology Detection Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Bondareva E, Han J, Bradlow W, Mascolo C.
PMID: 34891381
Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:669-672. doi: 10.1109/EMBC46164.2021.9630203.

Cardiovascular (CV) diseases are the leading cause of death in the world, and auscultation is typically an essential part of a cardiovascular examination. The ability to diagnose a patient based on their heart sounds is a rather difficult skill...

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Bondareva E, Han J, Bradlow W, et al. Segmentation-free Heart Pathology Detection Using Deep Learning. Annu Int Conf IEEE Eng Med Biol Soc. 2021;2021:669-672doi: 10.1109/EMBC46164.2021.9630203.
Bondareva, E., Han, J., Bradlow, W., & Mascolo, C. (2021). Segmentation-free Heart Pathology Detection Using Deep Learning. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2021669-672. https://doi.org/10.1109/EMBC46164.2021.9630203
Bondareva, Erika, et al. "Segmentation-free Heart Pathology Detection Using Deep Learning." Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference vol. 2021 (2021): 669-672. doi: https://doi.org/10.1109/EMBC46164.2021.9630203
Bondareva E, Han J, Bradlow W, Mascolo C. Segmentation-free Heart Pathology Detection Using Deep Learning. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:669-672. doi: 10.1109/EMBC46164.2021.9630203. PMID: 34891381.
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The complete mitochondrial genome of the common dentex, .

Mitochondrial DNA. Part B, Resources

Ceruso M, Mascolo C, Palma G, Anastasio A, Pepe T, Sordino P.
PMID: 33474179
Mitochondrial DNA B Resour. 2018 Mar 22;3(1):391-392. doi: 10.1080/23802359.2018.1450675.

The common

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Ceruso M, Mascolo C, Palma G, et al. The complete mitochondrial genome of the common dentex, . Mitochondrial DNA B Resour. 2018;3(1):391-392doi: 10.1080/23802359.2018.1450675.
Ceruso, M., Mascolo, C., Palma, G., Anastasio, A., Pepe, T., & Sordino, P. (2018). The complete mitochondrial genome of the common dentex, . Mitochondrial DNA. Part B, Resources, 3(1), 391-392. https://doi.org/10.1080/23802359.2018.1450675
Ceruso, Marina, et al. "The complete mitochondrial genome of the common dentex, ." Mitochondrial DNA. Part B, Resources vol. 3,1 (2018): 391-392. doi: https://doi.org/10.1080/23802359.2018.1450675
Ceruso M, Mascolo C, Palma G, Anastasio A, Pepe T, Sordino P. The complete mitochondrial genome of the common dentex, . Mitochondrial DNA B Resour. 2018 Mar 22;3(1):391-392. doi: 10.1080/23802359.2018.1450675. PMID: 33474179; PMCID: PMC7799662.
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[No title available]

Foods (Basel, Switzerland)

Ceruso M, Mascolo C, De Luca P, Venuti I, Biffali E, Ambrosio RL, Smaldone G, Sordino P, Pepe T.
PMID: 33802000
Foods. 2021 Mar 10;10(3). doi: 10.3390/foods10030580.

The common dentex (

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Ceruso M, Mascolo C, De Luca P, et al. . Foods. 2021;10(3)doi: 10.3390/foods10030580.
Ceruso, M., Mascolo, C., De Luca, P., Venuti, I., Biffali, E., Ambrosio, R. L., Smaldone, G., Sordino, P., & Pepe, T. (2021). . Foods (Basel, Switzerland), 10(3), . https://doi.org/10.3390/foods10030580
Ceruso, Marina, et al. "." Foods (Basel, Switzerland) vol. 10,3 (2021). doi: https://doi.org/10.3390/foods10030580
Ceruso M, Mascolo C, De Luca P, Venuti I, Biffali E, Ambrosio RL, Smaldone G, Sordino P, Pepe T. . Foods. 2021 Mar 10;10(3). doi: 10.3390/foods10030580. PMID: 33802000; PMCID: PMC8000392.
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Impact of cerebral ischemic lesions on the outcome of carotid endarterectomy.

Annals of translational medicine

Pini R, Vacirca A, Palermo S, Gallitto E, Mascoli C, Gargiulo M, Faggioli G.
PMID: 33178796
Ann Transl Med. 2020 Oct;8(19):1264. doi: 10.21037/atm-20-1098.

Patients with carotid artery stenosis (CAS) are commonly defined as asymptomatic or symptomatic according with their neurological conditions, however, emerging evidences suggest stratifying patients according also with the presence of cerebral ischemic lesions (CIL). In asymptomatic patients, the presence...

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Pini R, Vacirca A, Palermo S, et al. Impact of cerebral ischemic lesions on the outcome of carotid endarterectomy. Ann Transl Med. 2020;8(19):1264doi: 10.21037/atm-20-1098.
Pini, R., Vacirca, A., Palermo, S., Gallitto, E., Mascoli, C., Gargiulo, M., & Faggioli, G. (2020). Impact of cerebral ischemic lesions on the outcome of carotid endarterectomy. Annals of translational medicine, 8(19), 1264. https://doi.org/10.21037/atm-20-1098
Pini, Rodolfo, et al. "Impact of cerebral ischemic lesions on the outcome of carotid endarterectomy." Annals of translational medicine vol. 8,19 (2020): 1264. doi: https://doi.org/10.21037/atm-20-1098
Pini R, Vacirca A, Palermo S, Gallitto E, Mascoli C, Gargiulo M, Faggioli G. Impact of cerebral ischemic lesions on the outcome of carotid endarterectomy. Ann Transl Med. 2020 Oct;8(19):1264. doi: 10.21037/atm-20-1098. PMID: 33178796; PMCID: PMC7607094.
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Mining open datasets for transparency in taxi transport in metropolitan environments.

EPJ data science

Noulas A, Salnikov V, Lambiotte R, Mascolo C.
PMID: 32355596
EPJ Data Sci. 2015;4(1):23. doi: 10.1140/epjds/s13688-015-0060-2. Epub 2015 Dec 10.

Uber has recently been introducing novel practices in urban taxi transport. Journey prices can change dynamically in almost real time and also vary geographically from one area to another in a city, a strategy known as surge pricing. In...

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Noulas A, Salnikov V, Lambiotte R, et al. Mining open datasets for transparency in taxi transport in metropolitan environments. EPJ Data Sci. 2015;4(1):23doi: 10.1140/epjds/s13688-015-0060-2.
Noulas, A., Salnikov, V., Lambiotte, R., & Mascolo, C. (2015). Mining open datasets for transparency in taxi transport in metropolitan environments. EPJ data science, 4(1), 23. https://doi.org/10.1140/epjds/s13688-015-0060-2
Noulas, Anastasios, et al. "Mining open datasets for transparency in taxi transport in metropolitan environments." EPJ data science vol. 4,1 (2015): 23. doi: https://doi.org/10.1140/epjds/s13688-015-0060-2
Noulas A, Salnikov V, Lambiotte R, Mascolo C. Mining open datasets for transparency in taxi transport in metropolitan environments. EPJ Data Sci. 2015;4(1):23. doi: 10.1140/epjds/s13688-015-0060-2. Epub 2015 Dec 10. PMID: 32355596; PMCID: PMC7175725.
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A multilayer approach to multiplexity and link prediction in online geo-social networks.

EPJ data science

Hristova D, Noulas A, Brown C, Musolesi M, Mascolo C.
PMID: 32355599
EPJ Data Sci. 2016;5(1):24. doi: 10.1140/epjds/s13688-016-0087-z. Epub 2016 Jul 26.

Online social systems are multiplex in nature as multiple links may exist between the same two users across different social media. In this work, we study the geo-social properties of multiplex links, spanning more than one social network and...

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Hristova D, Noulas A, Brown C, et al. A multilayer approach to multiplexity and link prediction in online geo-social networks. EPJ Data Sci. 2016;5(1):24doi: 10.1140/epjds/s13688-016-0087-z.
Hristova, D., Noulas, A., Brown, C., Musolesi, M., & Mascolo, C. (2016). A multilayer approach to multiplexity and link prediction in online geo-social networks. EPJ data science, 5(1), 24. https://doi.org/10.1140/epjds/s13688-016-0087-z
Hristova, Desislava, et al. "A multilayer approach to multiplexity and link prediction in online geo-social networks." EPJ data science vol. 5,1 (2016): 24. doi: https://doi.org/10.1140/epjds/s13688-016-0087-z
Hristova D, Noulas A, Brown C, Musolesi M, Mascolo C. A multilayer approach to multiplexity and link prediction in online geo-social networks. EPJ Data Sci. 2016;5(1):24. doi: 10.1140/epjds/s13688-016-0087-z. Epub 2016 Jul 26. PMID: 32355599; PMCID: PMC7175673.
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Showing 1 to 12 of 79 entries