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Showing 13 to 24 of 208 entries
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A Neural Model of Empathic States in Attachment-Based Psychotherapy.

Computational psychiatry (Cambridge, Mass.)

Cittern D, Edalat A.
PMID: 30090856
Comput Psychiatr. 2017 Dec 01;1:132-167. doi: 10.1162/CPSY_a_00006. eCollection 2017 Dec.

We build on a neuroanatomical model of how empathic states can motivate caregiving behavior, via empathy circuit-driven activation of regions in the hypothalamus and amygdala, which in turn stimulate a mesolimbic-ventral pallidum pathway, by integrating findings related to the...

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Cittern D, Edalat A. A Neural Model of Empathic States in Attachment-Based Psychotherapy. Comput Psychiatr. 2017;1:132-167doi: 10.1162/CPSY_a_00006.
Cittern, D., & Edalat, A. (2017). A Neural Model of Empathic States in Attachment-Based Psychotherapy. Computational psychiatry (Cambridge, Mass.), 1132-167. https://doi.org/10.1162/CPSY_a_00006
Cittern, David, and Edalat, Abbas. "A Neural Model of Empathic States in Attachment-Based Psychotherapy." Computational psychiatry (Cambridge, Mass.) vol. 1 (2017): 132-167. doi: https://doi.org/10.1162/CPSY_a_00006
Cittern D, Edalat A. A Neural Model of Empathic States in Attachment-Based Psychotherapy. Comput Psychiatr. 2017 Dec 01;1:132-167. doi: 10.1162/CPSY_a_00006. eCollection 2017 Dec. PMID: 30090856; PMCID: PMC6067830.
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Local Application of Vibration in Motor Rehabilitation - Scientific and Practical Considerations.

Maedica

Poenaru D, Cinteza D, Petrusca I, Cioc L, Dumitrascu D.
PMID: 28694858
Maedica (Bucur). 2016 Sep;11(3):227-231.

Vibration stimulates specific receptors, cutaneous and musculo-tendinous. The aff erent impulses travel through spinal neurons to thalamus and cortical structures. The local muscular response to a vibration is a tonic vibratory refl ex. This refl ex depends on many...

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Poenaru D, Cinteza D, Petrusca I, et al. Local Application of Vibration in Motor Rehabilitation - Scientific and Practical Considerations. Maedica (Bucur). 2016;11(3):227-231
Poenaru, D., Cinteza, D., Petrusca, I., Cioc, L., & Dumitrascu, D. (2016). Local Application of Vibration in Motor Rehabilitation - Scientific and Practical Considerations. Maedica, 11(3), 227-231.
Poenaru, Daniela, et al. "Local Application of Vibration in Motor Rehabilitation - Scientific and Practical Considerations." Maedica vol. 11,3 (2016): 227-231.
Poenaru D, Cinteza D, Petrusca I, Cioc L, Dumitrascu D. Local Application of Vibration in Motor Rehabilitation - Scientific and Practical Considerations. Maedica (Bucur). 2016 Sep;11(3):227-231. PMID: 28694858; PMCID: PMC5486165.
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The impact of export processing zones on employment, wages and labour conditions in developing countries: systematic review.

Journal of development effectiveness

Cirera X, Lakshman RWD.
PMID: 30363912
J Dev Effect. 2017 Apr 10;9(3):344-360. doi: 10.1080/19439342.2017.1309448. eCollection 2017.

One of the most common instruments of industrial policy is Export Processing Zones (EPZs). This paper shows the results of a systematic review of the impact of EPZs on employment, wages and labour conditions in developing countries. The results...

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Cirera X, Lakshman RWD. The impact of export processing zones on employment, wages and labour conditions in developing countries: systematic review. J Dev Effect. 2017;9(3):344-360doi: 10.1080/19439342.2017.1309448.
Cirera, X., & Lakshman, R. W. D. (2017). The impact of export processing zones on employment, wages and labour conditions in developing countries: systematic review. Journal of development effectiveness, 9(3), 344-360. https://doi.org/10.1080/19439342.2017.1309448
Cirera, Xavier, and Lakshman, Rajith W D. "The impact of export processing zones on employment, wages and labour conditions in developing countries: systematic review." Journal of development effectiveness vol. 9,3 (2017): 344-360. doi: https://doi.org/10.1080/19439342.2017.1309448
Cirera X, Lakshman RWD. The impact of export processing zones on employment, wages and labour conditions in developing countries: systematic review. J Dev Effect. 2017 Apr 10;9(3):344-360. doi: 10.1080/19439342.2017.1309448. eCollection 2017. PMID: 30363912; PMCID: PMC6183862.
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Terahertz scattering and water absorption for porosimetry.

Optics express

Heshmat B, Andrews GM, Naranjo-Montoya OA, Castro-Camus E, Ciceri D, Sanchez AR, Allanore A, Kmetz AA, Eichmann SL, Poitzsch ME, Raskar R.
PMID: 29092211
Opt Express. 2017 Oct 30;25(22):27370-27385. doi: 10.1364/OE.25.027370.

We use terahertz transmission through limestone sedimentary rock samples to assess the macro and micro porosity. We exploit the notable water absorption in the terahertz spectrum to interact with the pores that are two orders of magnitude smaller (

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Heshmat B, Andrews GM, Naranjo-Montoya OA, et al. Terahertz scattering and water absorption for porosimetry. Opt Express. 2017;25(22):27370-27385doi: 10.1364/OE.25.027370.
Heshmat, B., Andrews, G. M., Naranjo-Montoya, O. A., Castro-Camus, E., Ciceri, D., Sanchez, A. R., Allanore, A., Kmetz, A. A., Eichmann, S. L., Poitzsch, M. E., & Raskar, R. (2017). Terahertz scattering and water absorption for porosimetry. Optics express, 25(22), 27370-27385. https://doi.org/10.1364/OE.25.027370
Heshmat, Barmak, et al. "Terahertz scattering and water absorption for porosimetry." Optics express vol. 25,22 (2017): 27370-27385. doi: https://doi.org/10.1364/OE.25.027370
Heshmat B, Andrews GM, Naranjo-Montoya OA, Castro-Camus E, Ciceri D, Sanchez AR, Allanore A, Kmetz AA, Eichmann SL, Poitzsch ME, Raskar R. Terahertz scattering and water absorption for porosimetry. Opt Express. 2017 Oct 30;25(22):27370-27385. doi: 10.1364/OE.25.027370. PMID: 29092211.
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Insights into the Binding of Cyclic RGD Peptidomimetics to α.

ChemistryOpen

Guzzetti I, Civera M, Vasile F, Arosio D, Tringali C, Piarulli U, Gennari C, Pignataro L, Belvisi L, Potenza D.
PMID: 28168158
ChemistryOpen. 2016 Dec 09;6(1):128-136. doi: 10.1002/open.201600112. eCollection 2017 Feb.

The interaction of a small library of cyclic DKP-RGD peptidomimetics with α

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Guzzetti I, Civera M, Vasile F, et al. Insights into the Binding of Cyclic RGD Peptidomimetics to α. ChemistryOpen. 2016;6(1):128-136doi: 10.1002/open.201600112.
Guzzetti, I., Civera, M., Vasile, F., Arosio, D., Tringali, C., Piarulli, U., Gennari, C., Pignataro, L., Belvisi, L., & Potenza, D. (2017). Insights into the Binding of Cyclic RGD Peptidomimetics to α. ChemistryOpen, 6(1), 128-136. https://doi.org/10.1002/open.201600112
Guzzetti, Ileana, et al. "Insights into the Binding of Cyclic RGD Peptidomimetics to α." ChemistryOpen vol. 6,1 (2017): 128-136. doi: https://doi.org/10.1002/open.201600112
Guzzetti I, Civera M, Vasile F, Arosio D, Tringali C, Piarulli U, Gennari C, Pignataro L, Belvisi L, Potenza D. Insights into the Binding of Cyclic RGD Peptidomimetics to α. ChemistryOpen. 2016 Dec 09;6(1):128-136. doi: 10.1002/open.201600112. eCollection 2017 Feb. PMID: 28168158; PMCID: PMC5288746.
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Benchmarking Density Functional Methods for Calculation of State Energies of First Row Spin-Crossover Molecules.

Inorganic chemistry

Cirera J, Via-Nadal M, Ruiz E.
PMID: 30383364
Inorg Chem. 2018 Nov 19;57(22):14097-14105. doi: 10.1021/acs.inorgchem.8b01821. Epub 2018 Nov 01.

A systematic study of the performance of several density functional methodologies to study spin-crossover (SCO) on first row transition metal complexes is reported. All functionals have been tested against several mononuclear systems containing first row transition metal complexes and...

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Cirera J, Via-Nadal M, Ruiz E. Benchmarking Density Functional Methods for Calculation of State Energies of First Row Spin-Crossover Molecules. Inorg Chem. 2018;57(22):14097-14105doi: 10.1021/acs.inorgchem.8b01821.
Cirera, J., Via-Nadal, M., & Ruiz, E. (2018). Benchmarking Density Functional Methods for Calculation of State Energies of First Row Spin-Crossover Molecules. Inorganic chemistry, 57(22), 14097-14105. https://doi.org/10.1021/acs.inorgchem.8b01821
Cirera, Jordi, et al. "Benchmarking Density Functional Methods for Calculation of State Energies of First Row Spin-Crossover Molecules." Inorganic chemistry vol. 57,22 (2018): 14097-14105. doi: https://doi.org/10.1021/acs.inorgchem.8b01821
Cirera J, Via-Nadal M, Ruiz E. Benchmarking Density Functional Methods for Calculation of State Energies of First Row Spin-Crossover Molecules. Inorg Chem. 2018 Nov 19;57(22):14097-14105. doi: 10.1021/acs.inorgchem.8b01821. Epub 2018 Nov 01. PMID: 30383364.
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Effects of electric current on individual graphene oxide sheets combining in situ transmission electron microscopy and Raman spectroscopy.

Nanotechnology

Martín G, Varea A, Cirera A, Estradé S, Peiró F, Cornet A.
PMID: 29664411
Nanotechnology. 2018 Jul 13;29(28):285702. doi: 10.1088/1361-6528/aabed2. Epub 2018 Apr 17.

Graphene oxide (GO) is currently the object of extensive research because of its potential use in mass production of graphene-based materials, but also due to its tunability which holds great promise for new nanoscale electronic devices and sensors. To...

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Martín G, Varea A, Cirera A, et al. Effects of electric current on individual graphene oxide sheets combining in situ transmission electron microscopy and Raman spectroscopy. Nanotechnology. 2018;29(28):285702doi: 10.1088/1361-6528/aabed2.
Martín, G., Varea, A., Cirera, A., Estradé, S., Peiró, F., & Cornet, A. (2018). Effects of electric current on individual graphene oxide sheets combining in situ transmission electron microscopy and Raman spectroscopy. Nanotechnology, 29(28), 285702. https://doi.org/10.1088/1361-6528/aabed2
Martín, Gemma, et al. "Effects of electric current on individual graphene oxide sheets combining in situ transmission electron microscopy and Raman spectroscopy." Nanotechnology vol. 29,28 (2018): 285702. doi: https://doi.org/10.1088/1361-6528/aabed2
Martín G, Varea A, Cirera A, Estradé S, Peiró F, Cornet A. Effects of electric current on individual graphene oxide sheets combining in situ transmission electron microscopy and Raman spectroscopy. Nanotechnology. 2018 Jul 13;29(28):285702. doi: 10.1088/1361-6528/aabed2. Epub 2018 Apr 17. PMID: 29664411.
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A Modification of Lerke Enzymic Test for Histamine Quantification.

Journal of food protection

Rodriguez-Jerez JJ, Grassi MA, Civera T.
PMID: 31121727
J Food Prot. 1994 Nov;57(11):1019-1021. doi: 10.4315/0362-028X-57.11.1019.

A modification of Lerke enzymic method for histamine determination has been realized. We have observed a modification of the optimum wavelength depending on incubation time at constant temperature of 37°C. A wavelength of 580 nm is recommended, with a...

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Rodriguez-Jerez JJ, Grassi MA, Civera T. A Modification of Lerke Enzymic Test for Histamine Quantification. J Food Prot. 1994;57(11):1019-1021doi: 10.4315/0362-028X-57.11.1019.
Rodriguez-Jerez, J. J., Grassi, M. A., & Civera, T. (1994). A Modification of Lerke Enzymic Test for Histamine Quantification. Journal of food protection, 57(11), 1019-1021. https://doi.org/10.4315/0362-028X-57.11.1019
Rodriguez-Jerez, J J, et al. "A Modification of Lerke Enzymic Test for Histamine Quantification." Journal of food protection vol. 57,11 (1994): 1019-1021. doi: https://doi.org/10.4315/0362-028X-57.11.1019
Rodriguez-Jerez JJ, Grassi MA, Civera T. A Modification of Lerke Enzymic Test for Histamine Quantification. J Food Prot. 1994 Nov;57(11):1019-1021. doi: 10.4315/0362-028X-57.11.1019. PMID: 31121727.
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Thermal spin crossover in Fe(ii) and Fe(iii). Accurate spin state energetics at the solid state.

Physical chemistry chemical physics : PCCP

Vela S, Fumanal M, Cirera J, Ribas-Arino J.
PMID: 32096536
Phys Chem Chem Phys. 2020 Mar 04;22(9):4938-4945. doi: 10.1039/d0cp00162g.

The thermal spin crossover (SCO) phenomenon refers to an entropy-driven spin transition in some materials based on d6-d9 transition metal complexes. While its molecular origin is well known, intricate SCO behaviours are increasingly common, in which the spin transition...

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Vela S, Fumanal M, Cirera J, et al. Thermal spin crossover in Fe(ii) and Fe(iii). Accurate spin state energetics at the solid state. Phys Chem Chem Phys. 2020;22(9):4938-4945doi: 10.1039/d0cp00162g.
Vela, S., Fumanal, M., Cirera, J., & Ribas-Arino, J. (2020). Thermal spin crossover in Fe(ii) and Fe(iii). Accurate spin state energetics at the solid state. Physical chemistry chemical physics : PCCP, 22(9), 4938-4945. https://doi.org/10.1039/d0cp00162g
Vela, Sergi, et al. "Thermal spin crossover in Fe(ii) and Fe(iii). Accurate spin state energetics at the solid state." Physical chemistry chemical physics : PCCP vol. 22,9 (2020): 4938-4945. doi: https://doi.org/10.1039/d0cp00162g
Vela S, Fumanal M, Cirera J, Ribas-Arino J. Thermal spin crossover in Fe(ii) and Fe(iii). Accurate spin state energetics at the solid state. Phys Chem Chem Phys. 2020 Mar 04;22(9):4938-4945. doi: 10.1039/d0cp00162g. PMID: 32096536.
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Low-Power, High-Performance, Non-volatile Inkjet-Printed HfO.

ACS applied materials & interfaces

Vescio G, Martín G, Crespo-Yepes A, Claramunt S, Alonso D, López-Vidrier J, Estradé S, Porti M, Rodríguez R, Peiró F, Cornet A, Cirera A, Nafría M.
PMID: 31180626
ACS Appl Mater Interfaces. 2019 Jul 03;11(26):23659-23666. doi: 10.1021/acsami.9b01731. Epub 2019 Jun 21.

Low-power, high-performance metal-insulator-metal (MIM) non-volatile resistive memories based on HfO

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Vescio G, Martín G, Crespo-Yepes A, et al. Low-Power, High-Performance, Non-volatile Inkjet-Printed HfO. ACS Appl Mater Interfaces. 2019;11(26):23659-23666doi: 10.1021/acsami.9b01731.
Vescio, G., Martín, G., Crespo-Yepes, A., Claramunt, S., Alonso, D., López-Vidrier, J., Estradé, S., Porti, M., Rodríguez, R., Peiró, F., Cornet, A., Cirera, A., & Nafría, M. (2019). Low-Power, High-Performance, Non-volatile Inkjet-Printed HfO. ACS applied materials & interfaces, 11(26), 23659-23666. https://doi.org/10.1021/acsami.9b01731
Vescio, Giovanni, et al. "Low-Power, High-Performance, Non-volatile Inkjet-Printed HfO." ACS applied materials & interfaces vol. 11,26 (2019): 23659-23666. doi: https://doi.org/10.1021/acsami.9b01731
Vescio G, Martín G, Crespo-Yepes A, Claramunt S, Alonso D, López-Vidrier J, Estradé S, Porti M, Rodríguez R, Peiró F, Cornet A, Cirera A, Nafría M. Low-Power, High-Performance, Non-volatile Inkjet-Printed HfO. ACS Appl Mater Interfaces. 2019 Jul 03;11(26):23659-23666. doi: 10.1021/acsami.9b01731. Epub 2019 Jun 21. PMID: 31180626.
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Using Video Processing for the Full-Field Identification of Backbone Curves in Case of Large Vibrations.

Sensors (Basel, Switzerland)

Civera M, Zanotti Fragonara L, Surace C.
PMID: 31117292
Sensors (Basel). 2019 May 21;19(10). doi: 10.3390/s19102345.

Nonlinear modal analysis is a demanding yet imperative task to rigorously address real-life situations where the dynamics involved clearly exceed the limits of linear approximation. The specific case of geometric nonlinearities, where the effects induced by the second and...

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Civera M, Zanotti Fragonara L, Surace C. Using Video Processing for the Full-Field Identification of Backbone Curves in Case of Large Vibrations. Sensors (Basel). 2019;19(10)doi: 10.3390/s19102345.
Civera, M., Zanotti Fragonara, L., & Surace, C. (2019). Using Video Processing for the Full-Field Identification of Backbone Curves in Case of Large Vibrations. Sensors (Basel, Switzerland), 19(10), . https://doi.org/10.3390/s19102345
Civera, Marco, et al. "Using Video Processing for the Full-Field Identification of Backbone Curves in Case of Large Vibrations." Sensors (Basel, Switzerland) vol. 19,10 (2019). doi: https://doi.org/10.3390/s19102345
Civera M, Zanotti Fragonara L, Surace C. Using Video Processing for the Full-Field Identification of Backbone Curves in Case of Large Vibrations. Sensors (Basel). 2019 May 21;19(10). doi: 10.3390/s19102345. PMID: 31117292; PMCID: PMC6567307.
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On-Chip Screening of a Glycomimetic Library with C-Type Lectins Reveals Structural Features Responsible for Preferential Binding of Dectin-2 over DC-SIGN/R and Langerin.

Chemistry (Weinheim an der Bergstrasse, Germany)

Medve L, Achilli S, Serna S, Zuccotto F, Varga N, Thépaut M, Civera M, Vivès C, Fieschi F, Reichardt N, Bernardi A.
PMID: 29975429
Chemistry. 2018 Sep 25;24(54):14448-14460. doi: 10.1002/chem.201802577. Epub 2018 Sep 03.

A library of mannose- and fucose-based glycomimetics was synthesized and screened in a microarray format against a set of C-type lectin receptors (CLRs) that included DC-SIGN, DC-SIGNR, langerin, and dectin-2. Glycomimetic ligands able to interact with dectin-2 were identified...

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Medve L, Achilli S, Serna S, et al. On-Chip Screening of a Glycomimetic Library with C-Type Lectins Reveals Structural Features Responsible for Preferential Binding of Dectin-2 over DC-SIGN/R and Langerin. Chemistry. 2018;24(54):14448-14460doi: 10.1002/chem.201802577.
Medve, L., Achilli, S., Serna, S., Zuccotto, F., Varga, N., Thépaut, M., Civera, M., Vivès, C., Fieschi, F., Reichardt, N., & Bernardi, A. (2018). On-Chip Screening of a Glycomimetic Library with C-Type Lectins Reveals Structural Features Responsible for Preferential Binding of Dectin-2 over DC-SIGN/R and Langerin. Chemistry (Weinheim an der Bergstrasse, Germany), 24(54), 14448-14460. https://doi.org/10.1002/chem.201802577
Medve, Laura, et al. "On-Chip Screening of a Glycomimetic Library with C-Type Lectins Reveals Structural Features Responsible for Preferential Binding of Dectin-2 over DC-SIGN/R and Langerin." Chemistry (Weinheim an der Bergstrasse, Germany) vol. 24,54 (2018): 14448-14460. doi: https://doi.org/10.1002/chem.201802577
Medve L, Achilli S, Serna S, Zuccotto F, Varga N, Thépaut M, Civera M, Vivès C, Fieschi F, Reichardt N, Bernardi A. On-Chip Screening of a Glycomimetic Library with C-Type Lectins Reveals Structural Features Responsible for Preferential Binding of Dectin-2 over DC-SIGN/R and Langerin. Chemistry. 2018 Sep 25;24(54):14448-14460. doi: 10.1002/chem.201802577. Epub 2018 Sep 03. PMID: 29975429; PMCID: PMC6220942.
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Showing 13 to 24 of 208 entries