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Rehabilitation with cochlear implant in patient with harboyan syndrome.

International archives of otorhinolaryngology

Paniagua LM, Dorfman ME, Lavinsky L, Sleifer P.
PMID: 25992045
Int Arch Otorhinolaryngol. 2013 Oct;17(4):403-6. doi: 10.1055/s-0033-1351669.

Background Harboyan syndrome, defined as congenital corneal dystrophy associated with progressive sensorineural hearing loss, was first described by Harboyan in 1971. It is a hereditary disease manifested by eye lesions consistent with corneal endothelial dystrophy and progressive sensorineural hearing...

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Paniagua LM, Dorfman ME, Lavinsky L, et al. Rehabilitation with cochlear implant in patient with harboyan syndrome. Int Arch Otorhinolaryngol. 2013;17(4):403-6doi: 10.1055/s-0033-1351669.
Paniagua, L. M., Dorfman, M. E., Lavinsky, L., & Sleifer, P. (2013). Rehabilitation with cochlear implant in patient with harboyan syndrome. International archives of otorhinolaryngology, 17(4), 403-6. https://doi.org/10.1055/s-0033-1351669
Paniagua, Lauren Medeiros, et al. "Rehabilitation with cochlear implant in patient with harboyan syndrome." International archives of otorhinolaryngology vol. 17,4 (2013): 403-6. doi: https://doi.org/10.1055/s-0033-1351669
Paniagua LM, Dorfman ME, Lavinsky L, Sleifer P. Rehabilitation with cochlear implant in patient with harboyan syndrome. Int Arch Otorhinolaryngol. 2013 Oct;17(4):403-6. doi: 10.1055/s-0033-1351669. PMID: 25992045; PMCID: PMC4399191.
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Prevention of protein adsorption by flexible and rigid chain molecules.

Colloids and surfaces. B, Biointerfaces

Carignano MA, Szleifer I.
PMID: 10915942
Colloids Surf B Biointerfaces. 2000 Oct 01;18(3):169-182. doi: 10.1016/s0927-7765(99)00146-0.

The ability of tethered polymer layers to reduce the non-specific adsorption of proteins is studied using a molecular theory. The protein adsorption isotherms are calculated for flexible and rigid molecules as well as for mixtures. It is found, in...

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Carignano MA, Szleifer I. Prevention of protein adsorption by flexible and rigid chain molecules. Colloids Surf B Biointerfaces. 2000;18(3):169-182doi: 10.1016/s0927-7765(99)00146-0.
Carignano, M. A., & Szleifer, I. (2000). Prevention of protein adsorption by flexible and rigid chain molecules. Colloids and surfaces. B, Biointerfaces, 18(3), 169-182. https://doi.org/10.1016/s0927-7765(99)00146-0
Carignano, and Szleifer. "Prevention of protein adsorption by flexible and rigid chain molecules." Colloids and surfaces. B, Biointerfaces vol. 18,3 (2000): 169-182. doi: https://doi.org/10.1016/s0927-7765(99)00146-0
Carignano MA, Szleifer I. Prevention of protein adsorption by flexible and rigid chain molecules. Colloids Surf B Biointerfaces. 2000 Oct 01;18(3):169-182. doi: 10.1016/s0927-7765(99)00146-0. PMID: 10915942.
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Statistical thermodynamics of amphiphile chains in micelles.

Proceedings of the National Academy of Sciences of the United States of America

Ben-Shaul A, Szleifer I, Gelbart WM.
PMID: 16593492
Proc Natl Acad Sci U S A. 1984 Jul;81(14):4601-5. doi: 10.1073/pnas.81.14.4601.

The probability distribution of amphiphile chain conformations in micelles of different geometries is derived through maximization of their packing entropy. A lattice model, first suggested by Dill and Flory, is used to represent the possible chain conformations in the...

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Ben-Shaul A, Szleifer I, Gelbart WM. Statistical thermodynamics of amphiphile chains in micelles. Proc Natl Acad Sci U S A. 1984;81(14):4601-5doi: 10.1073/pnas.81.14.4601.
Ben-Shaul, A., Szleifer, I., & Gelbart, W. M. (1984). Statistical thermodynamics of amphiphile chains in micelles. Proceedings of the National Academy of Sciences of the United States of America, 81(14), 4601-5. https://doi.org/10.1073/pnas.81.14.4601
Ben-Shaul, A, et al. "Statistical thermodynamics of amphiphile chains in micelles." Proceedings of the National Academy of Sciences of the United States of America vol. 81,14 (1984): 4601-5. doi: https://doi.org/10.1073/pnas.81.14.4601
Ben-Shaul A, Szleifer I, Gelbart WM. Statistical thermodynamics of amphiphile chains in micelles. Proc Natl Acad Sci U S A. 1984 Jul;81(14):4601-5. doi: 10.1073/pnas.81.14.4601. PMID: 16593492; PMCID: PMC345641.
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Analytic density-functional self-consistent-field theory of diblock copolymers near patterned surfaces.

The Journal of chemical physics

Seok C, Freed KF, Szleifer I.
PMID: 15267625
J Chem Phys. 2004 Apr 15;120(15):7174-82. doi: 10.1063/1.1669372.

Analytical solutions are derived for the density profiles and the free energies of compressible diblock copolymer melts (or incompressible copolymer solutions) near patterned surfaces. The density-functional self-consistent-field theory is employed along with a Gaussian chain model for bonding constraints...

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Seok C, Freed KF, Szleifer I. Analytic density-functional self-consistent-field theory of diblock copolymers near patterned surfaces. J Chem Phys. 2004;120(15):7174-82doi: 10.1063/1.1669372.
Seok, C., Freed, K. F., & Szleifer, I. (2004). Analytic density-functional self-consistent-field theory of diblock copolymers near patterned surfaces. The Journal of chemical physics, 120(15), 7174-82. https://doi.org/10.1063/1.1669372
Seok, Chaok, et al. "Analytic density-functional self-consistent-field theory of diblock copolymers near patterned surfaces." The Journal of chemical physics vol. 120,15 (2004): 7174-82. doi: https://doi.org/10.1063/1.1669372
Seok C, Freed KF, Szleifer I. Analytic density-functional self-consistent-field theory of diblock copolymers near patterned surfaces. J Chem Phys. 2004 Apr 15;120(15):7174-82. doi: 10.1063/1.1669372. PMID: 15267625.
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Chiral separation: mechanism modeling in two-dimensional systems.

Journal of the American Chemical Society

Paci I, Szleifer I, Ratner MA.
PMID: 17338520
J Am Chem Soc. 2007 Mar 28;129(12):3545-55. doi: 10.1021/ja066422b. Epub 2007 Mar 06.

Fluid phase separations of racemates are difficult because the subtle, short-ranged differences in intermolecular interactions of like and unlike pairs of chiral molecules are typically smaller than the thermal energy. A surface restricts the configurational space available to the...

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Paci I, Szleifer I, Ratner MA. Chiral separation: mechanism modeling in two-dimensional systems. J Am Chem Soc. 2007;129(12):3545-55doi: 10.1021/ja066422b.
Paci, I., Szleifer, I., & Ratner, M. A. (2007). Chiral separation: mechanism modeling in two-dimensional systems. Journal of the American Chemical Society, 129(12), 3545-55. https://doi.org/10.1021/ja066422b
Paci, Irina, et al. "Chiral separation: mechanism modeling in two-dimensional systems." Journal of the American Chemical Society vol. 129,12 (2007): 3545-55. doi: https://doi.org/10.1021/ja066422b
Paci I, Szleifer I, Ratner MA. Chiral separation: mechanism modeling in two-dimensional systems. J Am Chem Soc. 2007 Mar 28;129(12):3545-55. doi: 10.1021/ja066422b. Epub 2007 Mar 06. PMID: 17338520.
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Transport rectification in nanopores with outer membranes modified with surface charges and polyelectrolytes.

ACS nano

Tagliazucchi M, Rabin Y, Szleifer I.
PMID: 24047263
ACS Nano. 2013 Oct 22;7(10):9085-97. doi: 10.1021/nn403686s. Epub 2013 Sep 27.

This work reports a comprehensive theoretical study of the transport-rectification properties of cylindrical nanopores with neutral inner walls and chemically modified outer membrane. The chemical species on the two outer sides of the membrane have charges of opposite sign...

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Tagliazucchi M, Rabin Y, Szleifer I. Transport rectification in nanopores with outer membranes modified with surface charges and polyelectrolytes. ACS Nano. 2013;7(10):9085-97doi: 10.1021/nn403686s.
Tagliazucchi, M., Rabin, Y., & Szleifer, I. (2013). Transport rectification in nanopores with outer membranes modified with surface charges and polyelectrolytes. ACS nano, 7(10), 9085-97. https://doi.org/10.1021/nn403686s
Tagliazucchi, Mario, et al. "Transport rectification in nanopores with outer membranes modified with surface charges and polyelectrolytes." ACS nano vol. 7,10 (2013): 9085-97. doi: https://doi.org/10.1021/nn403686s
Tagliazucchi M, Rabin Y, Szleifer I. Transport rectification in nanopores with outer membranes modified with surface charges and polyelectrolytes. ACS Nano. 2013 Oct 22;7(10):9085-97. doi: 10.1021/nn403686s. Epub 2013 Sep 27. PMID: 24047263.
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Equilibrium adsorption of hexahistidine on pH-responsive hydrogel nanofilms.

Langmuir : the ACS journal of surfaces and colloids

Longo GS, de la Cruz MO, Szleifer I.
PMID: 25434993
Langmuir. 2014 Dec 23;30(50):15335-44. doi: 10.1021/la5040382. Epub 2014 Dec 12.

We present a molecular theory to study the adsorption of different species within pH-sensitive hydrogel nanofilms. The theoretical framework allows for a molecular-level description of all the components of the system, and it explicitly accounts for the acid-base equilibrium....

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Longo GS, de la Cruz MO, Szleifer I. Equilibrium adsorption of hexahistidine on pH-responsive hydrogel nanofilms. Langmuir. 2014;30(50):15335-44doi: 10.1021/la5040382.
Longo, G. S., de la Cruz, M. O., & Szleifer, I. (2014). Equilibrium adsorption of hexahistidine on pH-responsive hydrogel nanofilms. Langmuir : the ACS journal of surfaces and colloids, 30(50), 15335-44. https://doi.org/10.1021/la5040382
Longo, Gabriel S, et al. "Equilibrium adsorption of hexahistidine on pH-responsive hydrogel nanofilms." Langmuir : the ACS journal of surfaces and colloids vol. 30,50 (2014): 15335-44. doi: https://doi.org/10.1021/la5040382
Longo GS, de la Cruz MO, Szleifer I. Equilibrium adsorption of hexahistidine on pH-responsive hydrogel nanofilms. Langmuir. 2014 Dec 23;30(50):15335-44. doi: 10.1021/la5040382. Epub 2014 Dec 12. PMID: 25434993.
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Determination of the chemical potentials of polymeric systems from Monte Carlo simulations.

Physical review letters

Kumar SK, Panagiotopoulos AZ, Szleifer I.
PMID: 10043657
Phys Rev Lett. 1991 Jun 03;66(22):2935-2938. doi: 10.1103/PhysRevLett.66.2935.

No abstract available.

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Kumar SK, Panagiotopoulos AZ, Szleifer I. Determination of the chemical potentials of polymeric systems from Monte Carlo simulations. Phys Rev Lett. 1991;66(22):2935-2938doi: 10.1103/PhysRevLett.66.2935.
Kumar, S. K., Panagiotopoulos, A. Z., & Szleifer, I. (1991). Determination of the chemical potentials of polymeric systems from Monte Carlo simulations. Physical review letters, 66(22), 2935-2938. https://doi.org/10.1103/PhysRevLett.66.2935
Kumar, et al. "Determination of the chemical potentials of polymeric systems from Monte Carlo simulations." Physical review letters vol. 66,22 (1991): 2935-2938. doi: https://doi.org/10.1103/PhysRevLett.66.2935
Kumar SK, Panagiotopoulos AZ, Szleifer I. Determination of the chemical potentials of polymeric systems from Monte Carlo simulations. Phys Rev Lett. 1991 Jun 03;66(22):2935-2938. doi: 10.1103/PhysRevLett.66.2935. PMID: 10043657.
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Coherence effects in long-wavelength infrared synchrotron radiation emission.

Physical review letters

Chabal YJ, Hirschmugl CJ, Hoffmann FM, Kneedler EM, Shleifer M, Takacs PZ, Williams GP.
PMID: 10040187
Phys Rev Lett. 1989 Jan 16;62(3):261-263. doi: 10.1103/PhysRevLett.62.261.

No abstract available.

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Chabal YJ, Hirschmugl CJ, Hoffmann FM, et al. Coherence effects in long-wavelength infrared synchrotron radiation emission. Phys Rev Lett. 1989;62(3):261-263doi: 10.1103/PhysRevLett.62.261.
Chabal, Y. J., Hirschmugl, C. J., Hoffmann, F. M., Kneedler, E. M., Shleifer, M., Takacs, P. Z., & Williams, G. P. (1989). Coherence effects in long-wavelength infrared synchrotron radiation emission. Physical review letters, 62(3), 261-263. https://doi.org/10.1103/PhysRevLett.62.261
Chabal, et al. "Coherence effects in long-wavelength infrared synchrotron radiation emission." Physical review letters vol. 62,3 (1989): 261-263. doi: https://doi.org/10.1103/PhysRevLett.62.261
Chabal YJ, Hirschmugl CJ, Hoffmann FM, Kneedler EM, Shleifer M, Takacs PZ, Williams GP. Coherence effects in long-wavelength infrared synchrotron radiation emission. Phys Rev Lett. 1989 Jan 16;62(3):261-263. doi: 10.1103/PhysRevLett.62.261. PMID: 10040187.
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Kumar, Szleifer, and Panagiotopoulos reply.

Physical review letters

Kumar SK, Panagiotopoulos AZ, Szleifer I.
PMID: 10045763
Phys Rev Lett. 1992 Jun 15;68(24):3658. doi: 10.1103/PhysRevLett.68.3658.

No abstract available.

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Kumar SK, Panagiotopoulos AZ, Szleifer I. Kumar, Szleifer, and Panagiotopoulos reply. Phys Rev Lett. 1992;68(24):3658doi: 10.1103/PhysRevLett.68.3658.
Kumar, S. K., Panagiotopoulos, A. Z., & Szleifer, I. (1992). Kumar, Szleifer, and Panagiotopoulos reply. Physical review letters, 68(24), 3658. https://doi.org/10.1103/PhysRevLett.68.3658
Kumar, et al. "Kumar, Szleifer, and Panagiotopoulos reply." Physical review letters vol. 68,24 (1992): 3658. doi: https://doi.org/10.1103/PhysRevLett.68.3658
Kumar SK, Panagiotopoulos AZ, Szleifer I. Kumar, Szleifer, and Panagiotopoulos reply. Phys Rev Lett. 1992 Jun 15;68(24):3658. doi: 10.1103/PhysRevLett.68.3658. PMID: 10045763.
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Automated coronary calcium scoring using deep learning with multicenter external validation.

NPJ digital medicine

Eng D, Chute C, Khandwala N, Rajpurkar P, Long J, Shleifer S, Khalaf MH, Sandhu AT, Rodriguez F, Maron DJ, Seyyedi S, Marin D, Golub I, Budoff M, Kitamura F, Takahashi MS, Filice RW, Shah R, Mongan J, Kallianos K, Langlotz CP, Lungren MP, Ng AY, Patel BN.
PMID: 34075194
NPJ Digit Med. 2021 Jun 01;4(1):88. doi: 10.1038/s41746-021-00460-1.

Coronary artery disease (CAD), the most common manifestation of cardiovascular disease, remains the most common cause of mortality in the United States. Risk assessment is key for primary prevention of coronary events and coronary artery calcium (CAC) scoring using...

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Eng D, Chute C, Khandwala N, et al. Automated coronary calcium scoring using deep learning with multicenter external validation. NPJ Digit Med. 2021;4(1):88doi: 10.1038/s41746-021-00460-1.
Eng, D., Chute, C., Khandwala, N., Rajpurkar, P., Long, J., Shleifer, S., Khalaf, M. H., Sandhu, A. T., Rodriguez, F., Maron, D. J., Seyyedi, S., Marin, D., Golub, I., Budoff, M., Kitamura, F., Takahashi, M. S., Filice, R. W., Shah, R., Mongan, J., Kallianos, K., Langlotz, C. P., Lungren, M. P., Ng, A. Y., & Patel, B. N. (2021). Automated coronary calcium scoring using deep learning with multicenter external validation. NPJ digital medicine, 4(1), 88. https://doi.org/10.1038/s41746-021-00460-1
Eng, David, et al. "Automated coronary calcium scoring using deep learning with multicenter external validation." NPJ digital medicine vol. 4,1 (2021): 88. doi: https://doi.org/10.1038/s41746-021-00460-1
Eng D, Chute C, Khandwala N, Rajpurkar P, Long J, Shleifer S, Khalaf MH, Sandhu AT, Rodriguez F, Maron DJ, Seyyedi S, Marin D, Golub I, Budoff M, Kitamura F, Takahashi MS, Filice RW, Shah R, Mongan J, Kallianos K, Langlotz CP, Lungren MP, Ng AY, Patel BN. Automated coronary calcium scoring using deep learning with multicenter external validation. NPJ Digit Med. 2021 Jun 01;4(1):88. doi: 10.1038/s41746-021-00460-1. PMID: 34075194; PMCID: PMC8169744.
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Theoretical Modeling of Chemical Equilibrium in Weak Polyelectrolyte Layers on Curved Nanosystems.

Polymers

Gonzalez Solveyra E, Nap RJ, Huang K, Szleifer I.
PMID: 33027995
Polymers (Basel). 2020 Oct 05;12(10). doi: 10.3390/polym12102282.

Surface functionalization with end-tethered weak polyelectrolytes (PE) is a versatile way to modify and control surface properties, given their ability to alter their degree of charge depending on external cues like pH and salt concentration. Weak PEs find usage...

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Gonzalez Solveyra E, Nap RJ, Huang K, et al. Theoretical Modeling of Chemical Equilibrium in Weak Polyelectrolyte Layers on Curved Nanosystems. Polymers (Basel). 2020;12(10)doi: 10.3390/polym12102282.
Gonzalez Solveyra, E., Nap, R. J., Huang, K., & Szleifer, I. (2020). Theoretical Modeling of Chemical Equilibrium in Weak Polyelectrolyte Layers on Curved Nanosystems. Polymers, 12(10), . https://doi.org/10.3390/polym12102282
Gonzalez Solveyra, Estefania, et al. "Theoretical Modeling of Chemical Equilibrium in Weak Polyelectrolyte Layers on Curved Nanosystems." Polymers vol. 12,10 (2020). doi: https://doi.org/10.3390/polym12102282
Gonzalez Solveyra E, Nap RJ, Huang K, Szleifer I. Theoretical Modeling of Chemical Equilibrium in Weak Polyelectrolyte Layers on Curved Nanosystems. Polymers (Basel). 2020 Oct 05;12(10). doi: 10.3390/polym12102282. PMID: 33027995; PMCID: PMC7601300.
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Showing 1 to 12 of 60 entries