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The equation of motion for supershear frictional rupture fronts.

Science advances

Kammer DS, Svetlizky I, Cohen G, Fineberg J.
PMID: 30035229
Sci Adv. 2018 Jul 18;4(7):eaat5622. doi: 10.1126/sciadv.aat5622. eCollection 2018 Jul.

The rupture fronts that mediate the onset of frictional sliding may propagate at speeds below the Rayleigh wave speed or may surpass the shear wave speed and approach the longitudinal wave speed. While the conditions for the transition from...

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Kammer DS, Svetlizky I, Cohen G, et al. The equation of motion for supershear frictional rupture fronts. Sci Adv. 2018;4(7):eaat5622doi: 10.1126/sciadv.aat5622.
Kammer, D. S., Svetlizky, I., Cohen, G., & Fineberg, J. (2018). The equation of motion for supershear frictional rupture fronts. Science advances, 4(7), eaat5622. https://doi.org/10.1126/sciadv.aat5622
Kammer, David S, et al. "The equation of motion for supershear frictional rupture fronts." Science advances vol. 4,7 (2018): eaat5622. doi: https://doi.org/10.1126/sciadv.aat5622
Kammer DS, Svetlizky I, Cohen G, Fineberg J. The equation of motion for supershear frictional rupture fronts. Sci Adv. 2018 Jul 18;4(7):eaat5622. doi: 10.1126/sciadv.aat5622. eCollection 2018 Jul. PMID: 30035229; PMCID: PMC6051736.
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Reconceptualizing Self-Affirmation With the Trigger and Channel Framework: Lessons From the Health Domain.

Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc

Ferrer RA, Cohen GL.
PMID: 30295141
Pers Soc Psychol Rev. 2019 Aug;23(3):285-304. doi: 10.1177/1088868318797036. Epub 2018 Oct 07.

Self-affirmation-a theory-based technique to affirm the adaptive adequacy of the self-can promote positive behavior change and adaptive outcomes, although effects are variable. We extend a novel framework (Trigger and Channel), proposing three conditions that facilitate self-affirmation-induced behavior change: (a)...

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Ferrer RA, Cohen GL. Reconceptualizing Self-Affirmation With the Trigger and Channel Framework: Lessons From the Health Domain. Pers Soc Psychol Rev. 2018;23(3):285-304doi: 10.1177/1088868318797036.
Ferrer, R. A., & Cohen, G. L. (2019). Reconceptualizing Self-Affirmation With the Trigger and Channel Framework: Lessons From the Health Domain. Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc, 23(3), 285-304. https://doi.org/10.1177/1088868318797036
Ferrer, Rebecca A, and Cohen, Geoffrey L. "Reconceptualizing Self-Affirmation With the Trigger and Channel Framework: Lessons From the Health Domain." Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc vol. 23,3 (2019): 285-304. doi: https://doi.org/10.1177/1088868318797036
Ferrer RA, Cohen GL. Reconceptualizing Self-Affirmation With the Trigger and Channel Framework: Lessons From the Health Domain. Pers Soc Psychol Rev. 2019 Aug;23(3):285-304. doi: 10.1177/1088868318797036. Epub 2018 Oct 07. PMID: 30295141.
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Changes in Biomarkers of Cigarette Smoke Exposure After 6 Days of Switching Exclusively or Partially to Use of the JUUL System with Two Nicotine Concentrations: A Randomized Controlled Confinement Study in Adult Smokers.

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco

Cohen G, Goldenson NI, Bailey PC, Chan S, Shiffman S.
PMID: 34161586
Nicotine Tob Res. 2021 Nov 05;23(12):2153-2161. doi: 10.1093/ntr/ntab134.

INTRODUCTION: Evidence suggests that cigarette smokers who switch to electronic nicotine delivery systems (ENDS) reduce their exposure to harmful toxicants and carcinogens. It is unclear if dual-use is associated with decreases in exposure to toxicants.METHODS: This parallel-group confinement study...

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Cohen G, Goldenson NI, Bailey PC, et al. Changes in Biomarkers of Cigarette Smoke Exposure After 6 Days of Switching Exclusively or Partially to Use of the JUUL System with Two Nicotine Concentrations: A Randomized Controlled Confinement Study in Adult Smokers. Nicotine Tob Res. 2021;23(12):2153-2161doi: 10.1093/ntr/ntab134.
Cohen, G., Goldenson, N. I., Bailey, P. C., Chan, S., & Shiffman, S. (2021). Changes in Biomarkers of Cigarette Smoke Exposure After 6 Days of Switching Exclusively or Partially to Use of the JUUL System with Two Nicotine Concentrations: A Randomized Controlled Confinement Study in Adult Smokers. Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 23(12), 2153-2161. https://doi.org/10.1093/ntr/ntab134
Cohen, Gal, et al. "Changes in Biomarkers of Cigarette Smoke Exposure After 6 Days of Switching Exclusively or Partially to Use of the JUUL System with Two Nicotine Concentrations: A Randomized Controlled Confinement Study in Adult Smokers." Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco vol. 23,12 (2021): 2153-2161. doi: https://doi.org/10.1093/ntr/ntab134
Cohen G, Goldenson NI, Bailey PC, Chan S, Shiffman S. Changes in Biomarkers of Cigarette Smoke Exposure After 6 Days of Switching Exclusively or Partially to Use of the JUUL System with Two Nicotine Concentrations: A Randomized Controlled Confinement Study in Adult Smokers. Nicotine Tob Res. 2021 Nov 05;23(12):2153-2161. doi: 10.1093/ntr/ntab134. PMID: 34161586; PMCID: PMC8570669.
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Changes in Biomarkers of Cigarette Smoke Exposure After 6 Days of Switching Exclusively or Partially to Use of the JUUL System with Two Nicotine Concentrations: A Randomized Controlled Confinement Study in Adult Smokers.

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco

Cohen G, Goldenson NI, Bailey PC, Chan S, Shiffman S.
PMID: 34161586
Nicotine Tob Res. 2021 Nov 05;23(12):2153-2161. doi: 10.1093/ntr/ntab134.

INTRODUCTION: Evidence suggests that cigarette smokers who switch to electronic nicotine delivery systems (ENDS) reduce their exposure to harmful toxicants and carcinogens. It is unclear if dual-use is associated with decreases in exposure to toxicants.METHODS: This parallel-group confinement study...

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Cohen G, Goldenson NI, Bailey PC, et al. Changes in Biomarkers of Cigarette Smoke Exposure After 6 Days of Switching Exclusively or Partially to Use of the JUUL System with Two Nicotine Concentrations: A Randomized Controlled Confinement Study in Adult Smokers. Nicotine Tob Res. 2021;23(12):2153-2161doi: 10.1093/ntr/ntab134.
Cohen, G., Goldenson, N. I., Bailey, P. C., Chan, S., & Shiffman, S. (2021). Changes in Biomarkers of Cigarette Smoke Exposure After 6 Days of Switching Exclusively or Partially to Use of the JUUL System with Two Nicotine Concentrations: A Randomized Controlled Confinement Study in Adult Smokers. Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 23(12), 2153-2161. https://doi.org/10.1093/ntr/ntab134
Cohen, Gal, et al. "Changes in Biomarkers of Cigarette Smoke Exposure After 6 Days of Switching Exclusively or Partially to Use of the JUUL System with Two Nicotine Concentrations: A Randomized Controlled Confinement Study in Adult Smokers." Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco vol. 23,12 (2021): 2153-2161. doi: https://doi.org/10.1093/ntr/ntab134
Cohen G, Goldenson NI, Bailey PC, Chan S, Shiffman S. Changes in Biomarkers of Cigarette Smoke Exposure After 6 Days of Switching Exclusively or Partially to Use of the JUUL System with Two Nicotine Concentrations: A Randomized Controlled Confinement Study in Adult Smokers. Nicotine Tob Res. 2021 Nov 05;23(12):2153-2161. doi: 10.1093/ntr/ntab134. PMID: 34161586; PMCID: PMC8570669.
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Forecasting Bitcoin Trends Using Algorithmic Learning Systems.

Entropy (Basel, Switzerland)

Cohen G.
PMID: 33286608
Entropy (Basel). 2020 Jul 30;22(8). doi: 10.3390/e22080838.

This research has examined the ability of two forecasting methods to forecast Bitcoin's price trends. The research is based on Bitcoin-USA dollar prices from the beginning of 2012 until the end of March 2020. Such a long period of...

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Cohen G. Forecasting Bitcoin Trends Using Algorithmic Learning Systems. Entropy (Basel). 2020;22(8)doi: 10.3390/e22080838.
Cohen, G. (2020). Forecasting Bitcoin Trends Using Algorithmic Learning Systems. Entropy (Basel, Switzerland), 22(8), . https://doi.org/10.3390/e22080838
Cohen, Gil. "Forecasting Bitcoin Trends Using Algorithmic Learning Systems." Entropy (Basel, Switzerland) vol. 22,8 (2020). doi: https://doi.org/10.3390/e22080838
Cohen G. Forecasting Bitcoin Trends Using Algorithmic Learning Systems. Entropy (Basel). 2020 Jul 30;22(8). doi: 10.3390/e22080838. PMID: 33286608; PMCID: PMC7517437.
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How Fast Cracks in Brittle Solids Choose Their Path.

Physical review letters

Rozen-Levy L, Kolinski JM, Cohen G, Fineberg J.
PMID: 33156638
Phys Rev Lett. 2020 Oct 23;125(17):175501. doi: 10.1103/PhysRevLett.125.175501.

While we fundamentally understand the dynamics of simple cracks propagating in brittle solids within perfect (homogeneous) materials, we do not understand how paths of moving cracks are determined. We experimentally study strongly perturbed cracks that propagate between 10% and...

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Rozen-Levy L, Kolinski JM, Cohen G, et al. How Fast Cracks in Brittle Solids Choose Their Path. Phys Rev Lett. 2020;125(17):175501doi: 10.1103/PhysRevLett.125.175501.
Rozen-Levy, L., Kolinski, J. M., Cohen, G., & Fineberg, J. (2020). How Fast Cracks in Brittle Solids Choose Their Path. Physical review letters, 125(17), 175501. https://doi.org/10.1103/PhysRevLett.125.175501
Rozen-Levy, Lital, et al. "How Fast Cracks in Brittle Solids Choose Their Path." Physical review letters vol. 125,17 (2020): 175501. doi: https://doi.org/10.1103/PhysRevLett.125.175501
Rozen-Levy L, Kolinski JM, Cohen G, Fineberg J. How Fast Cracks in Brittle Solids Choose Their Path. Phys Rev Lett. 2020 Oct 23;125(17):175501. doi: 10.1103/PhysRevLett.125.175501. PMID: 33156638.
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A psychological intervention strengthens students' peer social networks and promotes persistence in STEM.

Science advances

Turetsky KM, Purdie-Greenaway V, Cook JE, Curley JP, Cohen GL.
PMID: 33158856
Sci Adv. 2020 Nov 06;6(45). doi: 10.1126/sciadv.aba9221. Print 2020 Nov.

Retaining students in science, technology, engineering, and math (STEM) fields is critical as demand for STEM graduates increases. Whereas many approaches to improve persistence target individuals' internal beliefs, skills, and traits, the intervention in this experiment strengthened students' peer...

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Turetsky KM, Purdie-Greenaway V, Cook JE, et al. A psychological intervention strengthens students' peer social networks and promotes persistence in STEM. Sci Adv. 2020;6(45)doi: 10.1126/sciadv.aba9221.
Turetsky, K. M., Purdie-Greenaway, V., Cook, J. E., Curley, J. P., & Cohen, G. L. (2020). A psychological intervention strengthens students' peer social networks and promotes persistence in STEM. Science advances, 6(45), . https://doi.org/10.1126/sciadv.aba9221
Turetsky, Kate M, et al. "A psychological intervention strengthens students' peer social networks and promotes persistence in STEM." Science advances vol. 6,45 (2020). doi: https://doi.org/10.1126/sciadv.aba9221
Turetsky KM, Purdie-Greenaway V, Cook JE, Curley JP, Cohen GL. A psychological intervention strengthens students' peer social networks and promotes persistence in STEM. Sci Adv. 2020 Nov 06;6(45). doi: 10.1126/sciadv.aba9221. Print 2020 Nov. PMID: 33158856; PMCID: PMC7673703.
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Preexisting coronary heart disease and susceptibility to long-term effects of traffic-related air pollution: A matched cohort analysis.

European journal of preventive cardiology

Cohen G, Steinberg DM, Keinan-Boker L, Yuval, Levy I, Chen S, Shafran-Nathan R, Levin N, Shimony T, Witberg G, Bental T, Shohat T, Broday DM, Kornowski R, Gerber Y.
PMID: 32389024
Eur J Prev Cardiol. 2020 May 09;2047487320921987. doi: 10.1177/2047487320921987. Epub 2020 May 09.

BACKGROUND: Individuals with coronary heart disease are considered susceptible to traffic-related air pollution exposure. Yet, cohort-based evidence on whether preexisting coronary heart disease modifies the association of traffic-related air pollution with health outcomes is lacking.AIM: Using data of four...

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Cohen G, Steinberg DM, Keinan-Boker L, et al. Preexisting coronary heart disease and susceptibility to long-term effects of traffic-related air pollution: A matched cohort analysis. Eur J Prev Cardiol. 2020;2047487320921987doi: 10.1177/2047487320921987.
Cohen, G., Steinberg, D. M., Keinan-Boker, L., Yuval, Levy, I., Chen, S., Shafran-Nathan, R., Levin, N., Shimony, T., Witberg, G., Bental, T., Shohat, T., Broday, D. M., Kornowski, R., & Gerber, Y. (2020). Preexisting coronary heart disease and susceptibility to long-term effects of traffic-related air pollution: A matched cohort analysis. European journal of preventive cardiology, 2047487320921987. https://doi.org/10.1177/2047487320921987
Cohen, Gali, et al. "Preexisting coronary heart disease and susceptibility to long-term effects of traffic-related air pollution: A matched cohort analysis." European journal of preventive cardiology vol. (2020): 2047487320921987. doi: https://doi.org/10.1177/2047487320921987
Cohen G, Steinberg DM, Keinan-Boker L, Yuval, Levy I, Chen S, Shafran-Nathan R, Levin N, Shimony T, Witberg G, Bental T, Shohat T, Broday DM, Kornowski R, Gerber Y. Preexisting coronary heart disease and susceptibility to long-term effects of traffic-related air pollution: A matched cohort analysis. Eur J Prev Cardiol. 2020 May 09;2047487320921987. doi: 10.1177/2047487320921987. Epub 2020 May 09. PMID: 32389024.
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Frictional Resistance within the Wake of Frictional Rupture Fronts.

Physical review letters

Svetlizky I, Bayart E, Cohen G, Fineberg J.
PMID: 28644666
Phys Rev Lett. 2017 Jun 09;118(23):234301. doi: 10.1103/PhysRevLett.118.234301. Epub 2017 Jun 08.

Frictional resistance to slip, τ, is determined by the real area of contact, A, and the shear strength of the contacts forming the frictional interface. We perform simultaneous high-speed local measurements of τ and A at the tail of...

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Svetlizky I, Bayart E, Cohen G, et al. Frictional Resistance within the Wake of Frictional Rupture Fronts. Phys Rev Lett. 2017;118(23):234301doi: 10.1103/PhysRevLett.118.234301.
Svetlizky, I., Bayart, E., Cohen, G., & Fineberg, J. (2017). Frictional Resistance within the Wake of Frictional Rupture Fronts. Physical review letters, 118(23), 234301. https://doi.org/10.1103/PhysRevLett.118.234301
Svetlizky, Ilya, et al. "Frictional Resistance within the Wake of Frictional Rupture Fronts." Physical review letters vol. 118,23 (2017): 234301. doi: https://doi.org/10.1103/PhysRevLett.118.234301
Svetlizky I, Bayart E, Cohen G, Fineberg J. Frictional Resistance within the Wake of Frictional Rupture Fronts. Phys Rev Lett. 2017 Jun 09;118(23):234301. doi: 10.1103/PhysRevLett.118.234301. Epub 2017 Jun 08. PMID: 28644666.
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Brittle Fracture Theory Predicts the Equation of Motion of Frictional Rupture Fronts.

Physical review letters

Svetlizky I, Kammer DS, Bayart E, Cohen G, Fineberg J.
PMID: 28388201
Phys Rev Lett. 2017 Mar 24;118(12):125501. doi: 10.1103/PhysRevLett.118.125501. Epub 2017 Mar 21.

We study rupture fronts propagating along the interface separating two bodies at the onset of frictional motion via high-temporal-resolution measurements of the real contact area and strain fields. The strain measurements provide the energy flux and dissipation at the...

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Svetlizky I, Kammer DS, Bayart E, et al. Brittle Fracture Theory Predicts the Equation of Motion of Frictional Rupture Fronts. Phys Rev Lett. 2017;118(12):125501doi: 10.1103/PhysRevLett.118.125501.
Svetlizky, I., Kammer, D. S., Bayart, E., Cohen, G., & Fineberg, J. (2017). Brittle Fracture Theory Predicts the Equation of Motion of Frictional Rupture Fronts. Physical review letters, 118(12), 125501. https://doi.org/10.1103/PhysRevLett.118.125501
Svetlizky, Ilya, et al. "Brittle Fracture Theory Predicts the Equation of Motion of Frictional Rupture Fronts." Physical review letters vol. 118,12 (2017): 125501. doi: https://doi.org/10.1103/PhysRevLett.118.125501
Svetlizky I, Kammer DS, Bayart E, Cohen G, Fineberg J. Brittle Fracture Theory Predicts the Equation of Motion of Frictional Rupture Fronts. Phys Rev Lett. 2017 Mar 24;118(12):125501. doi: 10.1103/PhysRevLett.118.125501. Epub 2017 Mar 21. PMID: 28388201.
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Can Social Support on Facebook Influence Fertility Outcomes?.

Reproductive sciences (Thousand Oaks, Calif.)

Miller N, Pundak C, Cohen G, Issakov G, Gluska H, Gandelsman E, Frishman EK, David L, Bookstein SP, Goldenberg J, Wiser A.
PMID: 34008155
Reprod Sci. 2021 May 18; doi: 10.1007/s43032-021-00611-5. Epub 2021 May 18.

Social support is known to reduce stress and increase quality of life among patients undergoing IVF. Increasing social media use introduces a social support mechanism, yet data regarding the effect of this support on IVF outcomes are scarce. This...

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Miller N, Pundak C, Cohen G, et al. Can Social Support on Facebook Influence Fertility Outcomes?. Reprod Sci. 2021;doi: 10.1007/s43032-021-00611-5.
Miller, N., Pundak, C., Cohen, G., Issakov, G., Gluska, H., Gandelsman, E., Frishman, E. K., David, L., Bookstein, S. P., Goldenberg, J., & Wiser, A. (2021). Can Social Support on Facebook Influence Fertility Outcomes?. Reproductive sciences (Thousand Oaks, Calif.), . https://doi.org/10.1007/s43032-021-00611-5
Miller, Netanella, et al. "Can Social Support on Facebook Influence Fertility Outcomes?." Reproductive sciences (Thousand Oaks, Calif.) vol. (2021). doi: https://doi.org/10.1007/s43032-021-00611-5
Miller N, Pundak C, Cohen G, Issakov G, Gluska H, Gandelsman E, Frishman EK, David L, Bookstein SP, Goldenberg J, Wiser A. Can Social Support on Facebook Influence Fertility Outcomes?. Reprod Sci. 2021 May 18; doi: 10.1007/s43032-021-00611-5. Epub 2021 May 18. PMID: 34008155.
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Can Social Support on Facebook Influence Fertility Outcomes?.

Reproductive sciences (Thousand Oaks, Calif.)

Miller N, Pundak C, Cohen G, Issakov G, Gluska H, Gandelsman E, Frishman EK, David L, Bookstein SP, Goldenberg J, Wiser A.
PMID: 34008155
Reprod Sci. 2022 Jan;29(1):212-219. doi: 10.1007/s43032-021-00611-5. Epub 2021 May 18.

Social support is known to reduce stress and increase quality of life among patients undergoing IVF. Increasing social media use introduces a social support mechanism, yet data regarding the effect of this support on IVF outcomes are scarce. This...

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Miller N, Pundak C, Cohen G, et al. Can Social Support on Facebook Influence Fertility Outcomes?. Reprod Sci. 2021;29(1):212-219doi: 10.1007/s43032-021-00611-5.
Miller, N., Pundak, C., Cohen, G., Issakov, G., Gluska, H., Gandelsman, E., Frishman, E. K., David, L., Bookstein, S. P., Goldenberg, J., & Wiser, A. (2022). Can Social Support on Facebook Influence Fertility Outcomes?. Reproductive sciences (Thousand Oaks, Calif.), 29(1), 212-219. https://doi.org/10.1007/s43032-021-00611-5
Miller, Netanella, et al. "Can Social Support on Facebook Influence Fertility Outcomes?." Reproductive sciences (Thousand Oaks, Calif.) vol. 29,1 (2022): 212-219. doi: https://doi.org/10.1007/s43032-021-00611-5
Miller N, Pundak C, Cohen G, Issakov G, Gluska H, Gandelsman E, Frishman EK, David L, Bookstein SP, Goldenberg J, Wiser A. Can Social Support on Facebook Influence Fertility Outcomes?. Reprod Sci. 2022 Jan;29(1):212-219. doi: 10.1007/s43032-021-00611-5. Epub 2021 May 18. PMID: 34008155.
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Showing 13 to 24 of 50 entries