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Showing 1 to 12 of 133 entries
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Studying surgical innovations: challenges of the randomized controlled trial

interventions

Barber MD.
GSID: 6_GUr2c8VucJ
CA Unger, MD Barber - Journal of Minimally Invasive Gynecology, 2015 - Elsevier

The randomized controlled trial (RCT) is designed to measure the efficacy of an intervention and is considered to be the most rigorous form of research, allowing for causal inferences to …

X-ray Imaging of Transplanar Liquid Transport Mechanisms in Single Layer Textiles.

Langmuir : the ACS journal of surfaces and colloids

Zhang G, Parwani R, Stone CA, Barber AH, Botto L.
PMID: 28980814
Langmuir. 2017 Oct 31;33(43):12072-12079. doi: 10.1021/acs.langmuir.7b02982. Epub 2017 Oct 17.

Understanding the penetration of liquids within textile fibers is critical for the development of next-generation smart textiles. Despite substantial research on liquid penetration in the plane of the textile, little is known about how the liquid penetrates in the...

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Zhang G, Parwani R, Stone CA, et al. X-ray Imaging of Transplanar Liquid Transport Mechanisms in Single Layer Textiles. Langmuir. 2017;33(43):12072-12079doi: 10.1021/acs.langmuir.7b02982.
Zhang, G., Parwani, R., Stone, C. A., Barber, A. H., & Botto, L. (2017). X-ray Imaging of Transplanar Liquid Transport Mechanisms in Single Layer Textiles. Langmuir : the ACS journal of surfaces and colloids, 33(43), 12072-12079. https://doi.org/10.1021/acs.langmuir.7b02982
Zhang, Gannian, et al. "X-ray Imaging of Transplanar Liquid Transport Mechanisms in Single Layer Textiles." Langmuir : the ACS journal of surfaces and colloids vol. 33,43 (2017): 12072-12079. doi: https://doi.org/10.1021/acs.langmuir.7b02982
Zhang G, Parwani R, Stone CA, Barber AH, Botto L. X-ray Imaging of Transplanar Liquid Transport Mechanisms in Single Layer Textiles. Langmuir. 2017 Oct 31;33(43):12072-12079. doi: 10.1021/acs.langmuir.7b02982. Epub 2017 Oct 17. PMID: 28980814.
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Microscopy and supporting data for osteoblast integration within an electrospun fibrous network.

Data in brief

Stachewicz U, Qiao T, Rawlinson SC, Veiga Almeida F, Li WQ, Cattell M, Barber AH.
PMID: 26693511
Data Brief. 2015 Oct 16;5:775-81. doi: 10.1016/j.dib.2015.10.009. eCollection 2015 Dec.

This data article contains data related to the research article entitled "3D imaging of cell interactions with electrospun PLGA nanofiber membranes for bone regeneration" by Stachewicz et al. [1]. In this paper we include additional data showing degradation analysis...

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Stachewicz U, Qiao T, Rawlinson SC, et al. Microscopy and supporting data for osteoblast integration within an electrospun fibrous network. Data Brief. 2015;5:775-81doi: 10.1016/j.dib.2015.10.009.
Stachewicz, U., Qiao, T., Rawlinson, S. C., Veiga Almeida, F., Li, W. Q., Cattell, M., & Barber, A. H. (2015). Microscopy and supporting data for osteoblast integration within an electrospun fibrous network. Data in brief, 5775-81. https://doi.org/10.1016/j.dib.2015.10.009
Stachewicz, Urszula, et al. "Microscopy and supporting data for osteoblast integration within an electrospun fibrous network." Data in brief vol. 5 (2015): 775-81. doi: https://doi.org/10.1016/j.dib.2015.10.009
Stachewicz U, Qiao T, Rawlinson SC, Veiga Almeida F, Li WQ, Cattell M, Barber AH. Microscopy and supporting data for osteoblast integration within an electrospun fibrous network. Data Brief. 2015 Oct 16;5:775-81. doi: 10.1016/j.dib.2015.10.009. eCollection 2015 Dec. PMID: 26693511; PMCID: PMC4659782.
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Lipid peroxidation in rat tissue homogenates: Interaction of iron and ascorbic acid as the normal catalytic mechanism.

Lipids

Barber AA.
PMID: 17805670
Lipids. 1966 Mar;1(2):146-51. doi: 10.1007/BF02533008.

Iron and ascorbic acid appear to be the normal catalytic components responsible for the lipid peroxidation reaction in aerobically incubated rat tissue homogenates. The amounts of each present in the catalytically-active fractions of rat liver, brain, testis, and kidney...

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Barber AA. Lipid peroxidation in rat tissue homogenates: Interaction of iron and ascorbic acid as the normal catalytic mechanism. Lipids. 1966;1(2):146-51doi: 10.1007/BF02533008.
Barber, A. A. (1966). Lipid peroxidation in rat tissue homogenates: Interaction of iron and ascorbic acid as the normal catalytic mechanism. Lipids, 1(2), 146-51. https://doi.org/10.1007/BF02533008
Barber, A A. "Lipid peroxidation in rat tissue homogenates: Interaction of iron and ascorbic acid as the normal catalytic mechanism." Lipids vol. 1,2 (1966): 146-51. doi: https://doi.org/10.1007/BF02533008
Barber AA. Lipid peroxidation in rat tissue homogenates: Interaction of iron and ascorbic acid as the normal catalytic mechanism. Lipids. 1966 Mar;1(2):146-51. doi: 10.1007/BF02533008. PMID: 17805670.
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New paradigm for understanding in-flight decision making errors: a neurophysiological model leveraging human factors.

Hippokratia

Souvestre PA, Landrock CK, Blaber AP.
PMID: 19048097
Hippokratia. 2008 Aug;12:78-83.

Human factors centered aviation accident analyses report that skill based errors are known to be cause of 80% of all accidents, decision making related errors 30% and perceptual errors 6%1. In-flight decision making error is a long time recognized...

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Souvestre PA, Landrock CK, Blaber AP. New paradigm for understanding in-flight decision making errors: a neurophysiological model leveraging human factors. Hippokratia. 2008;12:78-83
Souvestre, P. A., Landrock, C. K., & Blaber, A. P. (2008). New paradigm for understanding in-flight decision making errors: a neurophysiological model leveraging human factors. Hippokratia, 1278-83.
Souvestre, P A, et al. "New paradigm for understanding in-flight decision making errors: a neurophysiological model leveraging human factors." Hippokratia vol. 12 (2008): 78-83.
Souvestre PA, Landrock CK, Blaber AP. New paradigm for understanding in-flight decision making errors: a neurophysiological model leveraging human factors. Hippokratia. 2008 Aug;12:78-83. PMID: 19048097; PMCID: PMC2577407.
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Site-specific management of nematodes pitfalls and practicalities.

Journal of nematology

Evans K, Webster RM, Halford PD, Barker AD, Russell MD.
PMID: 19265933
J Nematol. 2002 Sep;34(3):194-9.

The greatest constraint to potato production in the United Kingdom (UK) is damage by the potato cyst nematodes (PCN) Globodera pallida and G. rostochiensis. Management of PCN depends heavily on nematicides, which are costly. Of all the inputs in...

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Evans K, Webster RM, Halford PD, et al. Site-specific management of nematodes pitfalls and practicalities. J Nematol. 2002;34(3):194-9
Evans, K., Webster, R. M., Halford, P. D., Barker, A. D., & Russell, M. D. (2002). Site-specific management of nematodes pitfalls and practicalities. Journal of nematology, 34(3), 194-9.
Evans, Ken, et al. "Site-specific management of nematodes pitfalls and practicalities." Journal of nematology vol. 34,3 (2002): 194-9.
Evans K, Webster RM, Halford PD, Barker AD, Russell MD. Site-specific management of nematodes pitfalls and practicalities. J Nematol. 2002 Sep;34(3):194-9. PMID: 19265933; PMCID: PMC2620570.
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Stress delocalization in crack tolerant electrospun nanofiber networks.

ACS applied materials & interfaces

Stachewicz U, Peker I, Tu W, Barber AH.
PMID: 21545103
ACS Appl Mater Interfaces. 2011 Jun;3(6):1991-6. doi: 10.1021/am2002444. Epub 2011 May 17.

The fracture toughness of a noncontinuum fibrous network produced by electrospinning polyamide 6 nanofibers is investigated. The mechanical properties of the nanofiber network is observed to be independent of various incorporated macroscopic crack lengths, resulting in an apparent increase...

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Stachewicz U, Peker I, Tu W, et al. Stress delocalization in crack tolerant electrospun nanofiber networks. ACS Appl Mater Interfaces. 2011;3(6):1991-6doi: 10.1021/am2002444.
Stachewicz, U., Peker, I., Tu, W., & Barber, A. H. (2011). Stress delocalization in crack tolerant electrospun nanofiber networks. ACS applied materials & interfaces, 3(6), 1991-6. https://doi.org/10.1021/am2002444
Stachewicz, Urszula, et al. "Stress delocalization in crack tolerant electrospun nanofiber networks." ACS applied materials & interfaces vol. 3,6 (2011): 1991-6. doi: https://doi.org/10.1021/am2002444
Stachewicz U, Peker I, Tu W, Barber AH. Stress delocalization in crack tolerant electrospun nanofiber networks. ACS Appl Mater Interfaces. 2011 Jun;3(6):1991-6. doi: 10.1021/am2002444. Epub 2011 May 17. PMID: 21545103.
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Malignant atrioventricular nodal reentry tachycardia resulting in cardiac arrest.

HeartRhythm case reports

Hagopian R, O'Keefe-Baker V, Aziz Z, Beaser AD, Nayak HM.
PMID: 30891418
HeartRhythm Case Rep. 2018 Dec 23;5(3):173-175. doi: 10.1016/j.hrcr.2018.12.007. eCollection 2019 Mar.

No abstract available.

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Hagopian R, O'Keefe-Baker V, Aziz Z, et al. Malignant atrioventricular nodal reentry tachycardia resulting in cardiac arrest. HeartRhythm Case Rep. 2018;5(3):173-175doi: 10.1016/j.hrcr.2018.12.007.
Hagopian, R., O'Keefe-Baker, V., Aziz, Z., Beaser, A. D., & Nayak, H. M. (2019). Malignant atrioventricular nodal reentry tachycardia resulting in cardiac arrest. HeartRhythm case reports, 5(3), 173-175. https://doi.org/10.1016/j.hrcr.2018.12.007
Hagopian, Raffi, et al. "Malignant atrioventricular nodal reentry tachycardia resulting in cardiac arrest." HeartRhythm case reports vol. 5,3 (2019): 173-175. doi: https://doi.org/10.1016/j.hrcr.2018.12.007
Hagopian R, O'Keefe-Baker V, Aziz Z, Beaser AD, Nayak HM. Malignant atrioventricular nodal reentry tachycardia resulting in cardiac arrest. HeartRhythm Case Rep. 2018 Dec 23;5(3):173-175. doi: 10.1016/j.hrcr.2018.12.007. eCollection 2019 Mar. PMID: 30891418; PMCID: PMC6404418.
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Identifying Patients With Coronary Artery Disease Using Rest and Exercise Seismocardiography.

Frontiers in physiology

Dehkordi P, Bauer EP, Tavakolian K, Zakeri V, Blaber AP, Khosrow-Khavar F.
PMID: 31607951
Front Physiol. 2019 Sep 24;10:1211. doi: 10.3389/fphys.2019.01211. eCollection 2019.

Coronary artery disease (CAD) is the most common cause of death globally. Patients with suspected CAD are usually assessed by exercise electrocardiography (ECG). Subsequent tests, such as coronary angiography and coronary computed tomography angiography (CCTA) are performed to localize...

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Dehkordi P, Bauer EP, Tavakolian K, et al. Identifying Patients With Coronary Artery Disease Using Rest and Exercise Seismocardiography. Front Physiol. 2019;10:1211doi: 10.3389/fphys.2019.01211.
Dehkordi, P., Bauer, E. P., Tavakolian, K., Zakeri, V., Blaber, A. P., & Khosrow-Khavar, F. (2019). Identifying Patients With Coronary Artery Disease Using Rest and Exercise Seismocardiography. Frontiers in physiology, 101211. https://doi.org/10.3389/fphys.2019.01211
Dehkordi, Parastoo, et al. "Identifying Patients With Coronary Artery Disease Using Rest and Exercise Seismocardiography." Frontiers in physiology vol. 10 (2019): 1211. doi: https://doi.org/10.3389/fphys.2019.01211
Dehkordi P, Bauer EP, Tavakolian K, Zakeri V, Blaber AP, Khosrow-Khavar F. Identifying Patients With Coronary Artery Disease Using Rest and Exercise Seismocardiography. Front Physiol. 2019 Sep 24;10:1211. doi: 10.3389/fphys.2019.01211. eCollection 2019. PMID: 31607951; PMCID: PMC6771305.
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Comparison of Different Methods for Estimating Cardiac Timings: A Comprehensive Multimodal Echocardiography Investigation.

Frontiers in physiology

Dehkordi P, Khosrow-Khavar F, Di Rienzo M, Inan OT, Schmidt SE, Blaber AP, Sørensen K, Struijk JJ, Zakeri V, Lombardi P, Shandhi MMH, Borairi M, Zanetti JM, Tavakolian K.
PMID: 31507437
Front Physiol. 2019 Aug 22;10:1057. doi: 10.3389/fphys.2019.01057. eCollection 2019.

Cardiac time intervals are important hemodynamic indices and provide information about left ventricular performance. Phonocardiography (PCG), impedance cardiography (ICG), and recently, seismocardiography (SCG) have been unobtrusive methods of choice for detection of cardiac time intervals and have potentials to...

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Dehkordi P, Khosrow-Khavar F, Di Rienzo M, et al. Comparison of Different Methods for Estimating Cardiac Timings: A Comprehensive Multimodal Echocardiography Investigation. Front Physiol. 2019;10:1057doi: 10.3389/fphys.2019.01057.
Dehkordi, P., Khosrow-Khavar, F., Di Rienzo, M., Inan, O. T., Schmidt, S. E., Blaber, A. P., Sørensen, K., Struijk, J. J., Zakeri, V., Lombardi, P., Shandhi, M. M. H., Borairi, M., Zanetti, J. M., & Tavakolian, K. (2019). Comparison of Different Methods for Estimating Cardiac Timings: A Comprehensive Multimodal Echocardiography Investigation. Frontiers in physiology, 101057. https://doi.org/10.3389/fphys.2019.01057
Dehkordi, Parastoo, et al. "Comparison of Different Methods for Estimating Cardiac Timings: A Comprehensive Multimodal Echocardiography Investigation." Frontiers in physiology vol. 10 (2019): 1057. doi: https://doi.org/10.3389/fphys.2019.01057
Dehkordi P, Khosrow-Khavar F, Di Rienzo M, Inan OT, Schmidt SE, Blaber AP, Sørensen K, Struijk JJ, Zakeri V, Lombardi P, Shandhi MMH, Borairi M, Zanetti JM, Tavakolian K. Comparison of Different Methods for Estimating Cardiac Timings: A Comprehensive Multimodal Echocardiography Investigation. Front Physiol. 2019 Aug 22;10:1057. doi: 10.3389/fphys.2019.01057. eCollection 2019. PMID: 31507437; PMCID: PMC6713915.
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A Conserved Histophilus somni 23S Intervening Sequence Yields Functional, Fragmented 23S rRNA.

Microbiology spectrum

Harhay GP, Harhay DM, Brader KD, Smith TPL.
PMID: 34851158
Microbiol Spectr. 2021 Dec 22;9(3):e0143121. doi: 10.1128/Spectrum.01431-21. Epub 2021 Dec 01.

Histophilus somni is a Gram-negative bacterial organism that acts as an opportunistic pathogen and is a fastidious member of the

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Harhay GP, Harhay DM, Brader KD, et al. A Conserved Histophilus somni 23S Intervening Sequence Yields Functional, Fragmented 23S rRNA. Microbiol Spectr. 2021;9(3):e0143121doi: 10.1128/Spectrum.01431-21.
Harhay, G. P., Harhay, D. M., Brader, K. D., & Smith, T. P. L. (2021). A Conserved Histophilus somni 23S Intervening Sequence Yields Functional, Fragmented 23S rRNA. Microbiology spectrum, 9(3), e0143121. https://doi.org/10.1128/Spectrum.01431-21
Harhay, Gregory P, et al. "A Conserved Histophilus somni 23S Intervening Sequence Yields Functional, Fragmented 23S rRNA." Microbiology spectrum vol. 9,3 (2021): e0143121. doi: https://doi.org/10.1128/Spectrum.01431-21
Harhay GP, Harhay DM, Brader KD, Smith TPL. A Conserved Histophilus somni 23S Intervening Sequence Yields Functional, Fragmented 23S rRNA. Microbiol Spectr. 2021 Dec 22;9(3):e0143121. doi: 10.1128/Spectrum.01431-21. Epub 2021 Dec 01. PMID: 34851158; PMCID: PMC8635145.
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Early Detection of Parkinson's Disease Using Center of Pressure Data and Machine Learning.

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

Fadil R, Huether A, Brunnemer R, Blaber AP, Lou JS, Tavakolian K.
PMID: 34891772
Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:2433-2436. doi: 10.1109/EMBC46164.2021.9630451.

Parkinson's disease (PD) is a progressive neurodegenerative disorder resulting in abnormal body movements. Postural instability is one of the primary motor symptoms of PD and contributes to falls. Measurement of postural sway through center of pressure (COP) data might...

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Fadil R, Huether A, Brunnemer R, et al. Early Detection of Parkinson's Disease Using Center of Pressure Data and Machine Learning. Annu Int Conf IEEE Eng Med Biol Soc. 2021;2021:2433-2436doi: 10.1109/EMBC46164.2021.9630451.
Fadil, R., Huether, A., Brunnemer, R., Blaber, A. P., Lou, J. S., & Tavakolian, K. (2021). Early Detection of Parkinson's Disease Using Center of Pressure Data and Machine Learning. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 20212433-2436. https://doi.org/10.1109/EMBC46164.2021.9630451
Fadil, Rabie, et al. "Early Detection of Parkinson's Disease Using Center of Pressure Data and Machine 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): 2433-2436. doi: https://doi.org/10.1109/EMBC46164.2021.9630451
Fadil R, Huether A, Brunnemer R, Blaber AP, Lou JS, Tavakolian K. Early Detection of Parkinson's Disease Using Center of Pressure Data and Machine Learning. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:2433-2436. doi: 10.1109/EMBC46164.2021.9630451. PMID: 34891772.
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Showing 1 to 12 of 133 entries