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From Exhaustion to Disengagement via Self-Efficacy Change: Findings from Two Longitudinal Studies among Human Services Workers.

Frontiers in psychology

Rogala A, Shoji K, Luszczynska A, Kuna A, Yeager C, Benight CC, Cieslak R.
PMID: 26779114
Front Psychol. 2016 Jan 08;6:2032. doi: 10.3389/fpsyg.2015.02032. eCollection 2015.

This longitudinal research examined the relationship direction between burnout components (exhaustion and disengagement) within the context of personal resources measured by self-efficacy and social support. In line with the conservation of resources theory we hypothesized that exhaustion may trigger...

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Rogala A, Shoji K, Luszczynska A, et al. From Exhaustion to Disengagement via Self-Efficacy Change: Findings from Two Longitudinal Studies among Human Services Workers. Front Psychol. 2016;6:2032doi: 10.3389/fpsyg.2015.02032.
Rogala, A., Shoji, K., Luszczynska, A., Kuna, A., Yeager, C., Benight, C. C., & Cieslak, R. (2015). From Exhaustion to Disengagement via Self-Efficacy Change: Findings from Two Longitudinal Studies among Human Services Workers. Frontiers in psychology, 62032. https://doi.org/10.3389/fpsyg.2015.02032
Rogala, Anna, et al. "From Exhaustion to Disengagement via Self-Efficacy Change: Findings from Two Longitudinal Studies among Human Services Workers." Frontiers in psychology vol. 6 (2015): 2032. doi: https://doi.org/10.3389/fpsyg.2015.02032
Rogala A, Shoji K, Luszczynska A, Kuna A, Yeager C, Benight CC, Cieslak R. From Exhaustion to Disengagement via Self-Efficacy Change: Findings from Two Longitudinal Studies among Human Services Workers. Front Psychol. 2016 Jan 08;6:2032. doi: 10.3389/fpsyg.2015.02032. eCollection 2015. PMID: 26779114; PMCID: PMC4705225.
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Correction: Worldwide trends in volume and quality of published protocols of randomized controlled trials.

PloS one

van Rosmalen BV, Alldinger I, Cieslak KP, Wennink R, Clarke M, Ali UA, Besselink MGH.
PMID: 29073285
PLoS One. 2017 Oct 26;12(10):e0187389. doi: 10.1371/journal.pone.0187389. eCollection 2017.

[This corrects the article DOI: 10.1371/journal.pone.0173042.].

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van Rosmalen BV, Alldinger I, Cieslak KP, et al. Correction: Worldwide trends in volume and quality of published protocols of randomized controlled trials. PLoS One. 2017;12(10):e0187389doi: 10.1371/journal.pone.0187389.
van Rosmalen, B. V., Alldinger, I., Cieslak, K. P., Wennink, R., Clarke, M., Ali, U. A., & Besselink, M. G. H. (2017). Correction: Worldwide trends in volume and quality of published protocols of randomized controlled trials. PloS one, 12(10), e0187389. https://doi.org/10.1371/journal.pone.0187389
van Rosmalen, Belle V, et al. "Correction: Worldwide trends in volume and quality of published protocols of randomized controlled trials." PloS one vol. 12,10 (2017): e0187389. doi: https://doi.org/10.1371/journal.pone.0187389
van Rosmalen BV, Alldinger I, Cieslak KP, Wennink R, Clarke M, Ali UA, Besselink MGH. Correction: Worldwide trends in volume and quality of published protocols of randomized controlled trials. PLoS One. 2017 Oct 26;12(10):e0187389. doi: 10.1371/journal.pone.0187389. eCollection 2017. PMID: 29073285; PMCID: PMC5658164.
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Analysis and design of second-order sliding-mode algorithms for quadrotor roll and pitch estimation.

ISA transactions

Chang J, Cieslak J, Dávila J, Zolghadri A, Zhou J.
PMID: 28965752
ISA Trans. 2017 Nov;71:495-512. doi: 10.1016/j.isatra.2017.09.012. Epub 2017 Sep 29.

The problem addressed in this paper is that of quadrotor roll and pitch estimation without any assumption about the knowledge of perturbation bounds when Inertial Measurement Units (IMU) data or position measurements are available. A Smooth Sliding Mode (SSM)...

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Chang J, Cieslak J, Dávila J, et al. Analysis and design of second-order sliding-mode algorithms for quadrotor roll and pitch estimation. ISA Trans. 2017;71:495-512doi: 10.1016/j.isatra.2017.09.012.
Chang, J., Cieslak, J., Dávila, J., Zolghadri, A., & Zhou, J. (2017). Analysis and design of second-order sliding-mode algorithms for quadrotor roll and pitch estimation. ISA transactions, 71495-512. https://doi.org/10.1016/j.isatra.2017.09.012
Chang, Jing, et al. "Analysis and design of second-order sliding-mode algorithms for quadrotor roll and pitch estimation." ISA transactions vol. 71 (2017): 495-512. doi: https://doi.org/10.1016/j.isatra.2017.09.012
Chang J, Cieslak J, Dávila J, Zolghadri A, Zhou J. Analysis and design of second-order sliding-mode algorithms for quadrotor roll and pitch estimation. ISA Trans. 2017 Nov;71:495-512. doi: 10.1016/j.isatra.2017.09.012. Epub 2017 Sep 29. PMID: 28965752.
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Photodynamic Inactivation of Root Canal Bacteria by Light Activation through Human Dental Hard and Simulated Surrounding Tissue.

Frontiers in microbiology

Cieplik F, Pummer A, Leibl C, Regensburger J, Schmalz G, Buchalla W, Hiller KA, Maisch T.
PMID: 27379059
Front Microbiol. 2016 Jun 15;7:929. doi: 10.3389/fmicb.2016.00929. eCollection 2016.

INTRODUCTION: Photodynamic inactivation of bacteria (PIB) may be a supportive antimicrobial approach for use in endodontics, but sufficient activation of photosensitizers (PS) in root canals is a critical point. Therefore, aim of this study was to evaluate the ability...

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Cieplik F, Pummer A, Leibl C, et al. Photodynamic Inactivation of Root Canal Bacteria by Light Activation through Human Dental Hard and Simulated Surrounding Tissue. Front Microbiol. 2016;7:929doi: 10.3389/fmicb.2016.00929.
Cieplik, F., Pummer, A., Leibl, C., Regensburger, J., Schmalz, G., Buchalla, W., Hiller, K. A., & Maisch, T. (2016). Photodynamic Inactivation of Root Canal Bacteria by Light Activation through Human Dental Hard and Simulated Surrounding Tissue. Frontiers in microbiology, 7929. https://doi.org/10.3389/fmicb.2016.00929
Cieplik, Fabian, et al. "Photodynamic Inactivation of Root Canal Bacteria by Light Activation through Human Dental Hard and Simulated Surrounding Tissue." Frontiers in microbiology vol. 7 (2016): 929. doi: https://doi.org/10.3389/fmicb.2016.00929
Cieplik F, Pummer A, Leibl C, Regensburger J, Schmalz G, Buchalla W, Hiller KA, Maisch T. Photodynamic Inactivation of Root Canal Bacteria by Light Activation through Human Dental Hard and Simulated Surrounding Tissue. Front Microbiol. 2016 Jun 15;7:929. doi: 10.3389/fmicb.2016.00929. eCollection 2016. PMID: 27379059; PMCID: PMC4908107.
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Ophthalmic complications of endoscopic ethmoidectomy: a case report.

Cases journal

Niedzielska I, Cieslik T, Janic T.
PMID: 20167079
Cases J. 2010 Feb 18;3:63. doi: 10.1186/1757-1626-3-63.

Damage to ethmoid structures following removal of nasal polyps can cause severe complications. A patient aged 48 years with damage to right orbital structures sustained in the course of transnasal endoscopic surgery for ethmoid polyps was operated. After operation...

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Niedzielska I, Cieslik T, Janic T. Ophthalmic complications of endoscopic ethmoidectomy: a case report. Cases J. 2010;3:63doi: 10.1186/1757-1626-3-63.
Niedzielska, I., Cieslik, T., & Janic, T. (2010). Ophthalmic complications of endoscopic ethmoidectomy: a case report. Cases journal, 363. https://doi.org/10.1186/1757-1626-3-63
Niedzielska, Iwona, et al. "Ophthalmic complications of endoscopic ethmoidectomy: a case report." Cases journal vol. 3 (2010): 63. doi: https://doi.org/10.1186/1757-1626-3-63
Niedzielska I, Cieslik T, Janic T. Ophthalmic complications of endoscopic ethmoidectomy: a case report. Cases J. 2010 Feb 18;3:63. doi: 10.1186/1757-1626-3-63. PMID: 20167079; PMCID: PMC2851672.
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Association studies on the porcine RETN, UCP1, UCP3 and ADRB3 genes polymorphism with fatness traits.

Meat science

Cieslak J, Nowacka-Woszuk J, Bartz M, Fijak-Nowak H, Grzes M, Szydlowski M, Switonski M.
PMID: 20416661
Meat Sci. 2009 Nov;83(3):551-4. doi: 10.1016/j.meatsci.2009.07.001. Epub 2009 Jul 08.

Searching for effects of candidate gene polymorphisms on fatness traits is an important goal for pig industry. In this study we evaluated polymorphism of four porcine genes involved in energy metabolism (RETN, UCP1, UCP3 and ADRB3). Moreover, their association...

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Cieslak J, Nowacka-Woszuk J, Bartz M, et al. Association studies on the porcine RETN, UCP1, UCP3 and ADRB3 genes polymorphism with fatness traits. Meat Sci. 2009;83(3):551-4doi: 10.1016/j.meatsci.2009.07.001.
Cieslak, J., Nowacka-Woszuk, J., Bartz, M., Fijak-Nowak, H., Grzes, M., Szydlowski, M., & Switonski, M. (2009). Association studies on the porcine RETN, UCP1, UCP3 and ADRB3 genes polymorphism with fatness traits. Meat science, 83(3), 551-4. https://doi.org/10.1016/j.meatsci.2009.07.001
Cieslak, Jakub, et al. "Association studies on the porcine RETN, UCP1, UCP3 and ADRB3 genes polymorphism with fatness traits." Meat science vol. 83,3 (2009): 551-4. doi: https://doi.org/10.1016/j.meatsci.2009.07.001
Cieslak J, Nowacka-Woszuk J, Bartz M, Fijak-Nowak H, Grzes M, Szydlowski M, Switonski M. Association studies on the porcine RETN, UCP1, UCP3 and ADRB3 genes polymorphism with fatness traits. Meat Sci. 2009 Nov;83(3):551-4. doi: 10.1016/j.meatsci.2009.07.001. Epub 2009 Jul 08. PMID: 20416661.
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Electronic structure of a σ-FeCr compound.

Journal of physics. Condensed matter : an Institute of Physics journal

Cieslak J, Tobola J, Dubiel SM, Kaprzyk S, Steiner W, Reissner M.
PMID: 21694325
J Phys Condens Matter. 2008 Jun 11;20(23):235234. doi: 10.1088/0953-8984/20/23/235234. Epub 2008 May 09.

The electronic structure of a σ-FeCr compound in a paramagnetic state was calculated for the first time in terms of isomer shifts and quadrupole splittings. The former were calculated using the charge self-consistent Korringa-Kohn-Rostoker (KKR) Green's function technique, while...

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Cieslak J, Tobola J, Dubiel SM, et al. Electronic structure of a σ-FeCr compound. J Phys Condens Matter. 2008;20(23):235234doi: 10.1088/0953-8984/20/23/235234.
Cieslak, J., Tobola, J., Dubiel, S. M., Kaprzyk, S., Steiner, W., & Reissner, M. (2008). Electronic structure of a σ-FeCr compound. Journal of physics. Condensed matter : an Institute of Physics journal, 20(23), 235234. https://doi.org/10.1088/0953-8984/20/23/235234
Cieslak, J, et al. "Electronic structure of a σ-FeCr compound." Journal of physics. Condensed matter : an Institute of Physics journal vol. 20,23 (2008): 235234. doi: https://doi.org/10.1088/0953-8984/20/23/235234
Cieslak J, Tobola J, Dubiel SM, Kaprzyk S, Steiner W, Reissner M. Electronic structure of a σ-FeCr compound. J Phys Condens Matter. 2008 Jun 11;20(23):235234. doi: 10.1088/0953-8984/20/23/235234. Epub 2008 May 09. PMID: 21694325.
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Site occupancy and lattice parameters in sigma-phase Co-Cr alloys.

Acta crystallographica. Section B, Structural science

Cieslak J, Dubiel SM, Reissner M.
PMID: 22436910
Acta Crystallogr B. 2012 Apr;68:123-7. doi: 10.1107/S0108768112006234. Epub 2012 Mar 20.

Neutron powder diffraction was used to study the distribution of Co and Cr atoms over different lattice sites as well as the lattice parameters of sigma-phase compounds Co(100 - x)Cr(x) with x = 57.0, 62.7 and 65.8. From the...

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Cieslak J, Dubiel SM, Reissner M. Site occupancy and lattice parameters in sigma-phase Co-Cr alloys. Acta Crystallogr B. 2012;68:123-7doi: 10.1107/S0108768112006234.
Cieslak, J., Dubiel, S. M., & Reissner, M. (2012). Site occupancy and lattice parameters in sigma-phase Co-Cr alloys. Acta crystallographica. Section B, Structural science, 68123-7. https://doi.org/10.1107/S0108768112006234
Cieslak, Jakub, et al. "Site occupancy and lattice parameters in sigma-phase Co-Cr alloys." Acta crystallographica. Section B, Structural science vol. 68 (2012): 123-7. doi: https://doi.org/10.1107/S0108768112006234
Cieslak J, Dubiel SM, Reissner M. Site occupancy and lattice parameters in sigma-phase Co-Cr alloys. Acta Crystallogr B. 2012 Apr;68:123-7. doi: 10.1107/S0108768112006234. Epub 2012 Mar 20. PMID: 22436910.
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Multifrequency nanoscale impedance microscopy (m-NIM): A novel approach towards detection of selective and subtle modifications on the surface of polycrystalline boron-doped diamond electrodes.

Ultramicroscopy

Zielinski A, Cieslik M, Sobaszek M, Bogdanowicz R, Darowicki K, Ryl J.
PMID: 30772716
Ultramicroscopy. 2019 Apr;199:34-45. doi: 10.1016/j.ultramic.2019.01.004. Epub 2019 Feb 08.

In this paper, we describe the modification of Nanoscale Impedance Microscopy (NIM), namely, a combination of contact-mode atomic force microscopy with local impedance measurements. The postulated approach is based on the application of multifrequency voltage perturbation instead of standard...

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Zielinski A, Cieslik M, Sobaszek M, et al. Multifrequency nanoscale impedance microscopy (m-NIM): A novel approach towards detection of selective and subtle modifications on the surface of polycrystalline boron-doped diamond electrodes. Ultramicroscopy. 2019;199:34-45doi: 10.1016/j.ultramic.2019.01.004.
Zielinski, A., Cieslik, M., Sobaszek, M., Bogdanowicz, R., Darowicki, K., & Ryl, J. (2019). Multifrequency nanoscale impedance microscopy (m-NIM): A novel approach towards detection of selective and subtle modifications on the surface of polycrystalline boron-doped diamond electrodes. Ultramicroscopy, 19934-45. https://doi.org/10.1016/j.ultramic.2019.01.004
Zielinski, Artur, et al. "Multifrequency nanoscale impedance microscopy (m-NIM): A novel approach towards detection of selective and subtle modifications on the surface of polycrystalline boron-doped diamond electrodes." Ultramicroscopy vol. 199 (2019): 34-45. doi: https://doi.org/10.1016/j.ultramic.2019.01.004
Zielinski A, Cieslik M, Sobaszek M, Bogdanowicz R, Darowicki K, Ryl J. Multifrequency nanoscale impedance microscopy (m-NIM): A novel approach towards detection of selective and subtle modifications on the surface of polycrystalline boron-doped diamond electrodes. Ultramicroscopy. 2019 Apr;199:34-45. doi: 10.1016/j.ultramic.2019.01.004. Epub 2019 Feb 08. PMID: 30772716.
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Analytic tractography: A closed-form solution for estimating local white matter connectivity with diffusion MRI.

NeuroImage

Cieslak M, Brennan T, Meiring W, Volz LJ, Greene C, Asturias A, Suri S, Grafton ST.
PMID: 29274744
Neuroimage. 2018 Apr 01;169:473-484. doi: 10.1016/j.neuroimage.2017.12.039. Epub 2017 Dec 22.

White matter structures composed of myelinated axons in the living human brain are primarily studied by diffusion-weighted MRI (dMRI). These long-range projections are typically characterized in a two-step process: dMRI signal is used to estimate the orientation of axon...

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Cieslak M, Brennan T, Meiring W, et al. Analytic tractography: A closed-form solution for estimating local white matter connectivity with diffusion MRI. Neuroimage. 2017;169:473-484doi: 10.1016/j.neuroimage.2017.12.039.
Cieslak, M., Brennan, T., Meiring, W., Volz, L. J., Greene, C., Asturias, A., Suri, S., & Grafton, S. T. (2018). Analytic tractography: A closed-form solution for estimating local white matter connectivity with diffusion MRI. NeuroImage, 169473-484. https://doi.org/10.1016/j.neuroimage.2017.12.039
Cieslak, Matthew, et al. "Analytic tractography: A closed-form solution for estimating local white matter connectivity with diffusion MRI." NeuroImage vol. 169 (2018): 473-484. doi: https://doi.org/10.1016/j.neuroimage.2017.12.039
Cieslak M, Brennan T, Meiring W, Volz LJ, Greene C, Asturias A, Suri S, Grafton ST. Analytic tractography: A closed-form solution for estimating local white matter connectivity with diffusion MRI. Neuroimage. 2018 Apr 01;169:473-484. doi: 10.1016/j.neuroimage.2017.12.039. Epub 2017 Dec 22. PMID: 29274744.
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The use of plant models in deep learning: an application to leaf counting in rosette plants.

Plant methods

Ubbens J, Cieslak M, Prusinkiewicz P, Stavness I.
PMID: 29375647
Plant Methods. 2018 Jan 18;14:6. doi: 10.1186/s13007-018-0273-z. eCollection 2018.

Deep learning presents many opportunities for image-based plant phenotyping. Here we consider the capability of deep convolutional neural networks to perform the leaf counting task. Deep learning techniques typically require large and diverse datasets to learn generalizable models without...

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Ubbens J, Cieslak M, Prusinkiewicz P, et al. The use of plant models in deep learning: an application to leaf counting in rosette plants. Plant Methods. 2018;14:6doi: 10.1186/s13007-018-0273-z.
Ubbens, J., Cieslak, M., Prusinkiewicz, P., & Stavness, I. (2018). The use of plant models in deep learning: an application to leaf counting in rosette plants. Plant methods, 146. https://doi.org/10.1186/s13007-018-0273-z
Ubbens, Jordan, et al. "The use of plant models in deep learning: an application to leaf counting in rosette plants." Plant methods vol. 14 (2018): 6. doi: https://doi.org/10.1186/s13007-018-0273-z
Ubbens J, Cieslak M, Prusinkiewicz P, Stavness I. The use of plant models in deep learning: an application to leaf counting in rosette plants. Plant Methods. 2018 Jan 18;14:6. doi: 10.1186/s13007-018-0273-z. eCollection 2018. PMID: 29375647; PMCID: PMC5773030.
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Effect of different spatial normalization approaches on tractography and structural brain networks.

Network neuroscience (Cambridge, Mass.)

Greene C, Cieslak M, Grafton ST.
PMID: 30294704
Netw Neurosci. 2018 Sep 01;2(3):362-380. doi: 10.1162/netn_a_00035. eCollection 2018.

To facilitate the comparison of white matter morphologic connectivity across target populations, it is invaluable to map the data to a standardized neuroanatomical space. Here, we evaluated direct streamline normalization (DSN), where the warping was applied directly to the...

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Greene C, Cieslak M, Grafton ST. Effect of different spatial normalization approaches on tractography and structural brain networks. Netw Neurosci. 2018;2(3):362-380doi: 10.1162/netn_a_00035.
Greene, C., Cieslak, M., & Grafton, S. T. (2018). Effect of different spatial normalization approaches on tractography and structural brain networks. Network neuroscience (Cambridge, Mass.), 2(3), 362-380. https://doi.org/10.1162/netn_a_00035
Greene, Clint, et al. "Effect of different spatial normalization approaches on tractography and structural brain networks." Network neuroscience (Cambridge, Mass.) vol. 2,3 (2018): 362-380. doi: https://doi.org/10.1162/netn_a_00035
Greene C, Cieslak M, Grafton ST. Effect of different spatial normalization approaches on tractography and structural brain networks. Netw Neurosci. 2018 Sep 01;2(3):362-380. doi: 10.1162/netn_a_00035. eCollection 2018. PMID: 30294704; PMCID: PMC6145854.
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Showing 1 to 12 of 190 entries