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Lean interventions in healthcare: do they actually work? A systematic literature review.

International journal for quality in health care : journal of the International Society for Quality in Health Care

Moraros J, Lemstra M, Nwankwo C.
PMID: 26811118
Int J Qual Health Care. 2016 Apr;28(2):150-65. doi: 10.1093/intqhc/mzv123. Epub 2016 Jan 24.

PURPOSE: Lean is a widely used quality improvement methodology initially developed and used in the automotive and manufacturing industries but recently expanded to the healthcare sector. This systematic literature review seeks to independently assess the effect of Lean or...

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Moraros J, Lemstra M, Nwankwo C. Lean interventions in healthcare: do they actually work? A systematic literature review. Int J Qual Health Care. 2016;28(2):150-65doi: 10.1093/intqhc/mzv123.
Moraros, J., Lemstra, M., & Nwankwo, C. (2016). Lean interventions in healthcare: do they actually work? A systematic literature review. International journal for quality in health care : journal of the International Society for Quality in Health Care, 28(2), 150-65. https://doi.org/10.1093/intqhc/mzv123
Moraros, John, et al. "Lean interventions in healthcare: do they actually work? A systematic literature review." International journal for quality in health care : journal of the International Society for Quality in Health Care vol. 28,2 (2016): 150-65. doi: https://doi.org/10.1093/intqhc/mzv123
Moraros J, Lemstra M, Nwankwo C. Lean interventions in healthcare: do they actually work? A systematic literature review. Int J Qual Health Care. 2016 Apr;28(2):150-65. doi: 10.1093/intqhc/mzv123. Epub 2016 Jan 24. PMID: 26811118; PMCID: PMC4833201.
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Distribution and Load of Amyloid-β Pathology in Parkinson Disease and Dementia with Lewy Bodies.

Journal of neuropathology and experimental neurology

Hepp DH, Vergoossen DL, Huisman E, Lemstra AW, Berendse HW, Rozemuller AJ, Foncke EM, van de Berg WD.
PMID: 27516115
J Neuropathol Exp Neurol. 2016 Oct;75(10):936-945. doi: 10.1093/jnen/nlw070. Epub 2016 Aug 11.

Parkinson disease (PD), Parkinson disease with dementia (PDD), and Dementia with Lewy bodies (DLB) differ clinically with regard to the presence and timing of dementia. In this postmortem study, we evaluated whether the burden and distribution pattern of amyloid-β...

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Hepp DH, Vergoossen DL, Huisman E, et al. Distribution and Load of Amyloid-β Pathology in Parkinson Disease and Dementia with Lewy Bodies. J Neuropathol Exp Neurol. 2016;75(10):936-945doi: 10.1093/jnen/nlw070.
Hepp, D. H., Vergoossen, D. L., Huisman, E., Lemstra, A. W., Berendse, H. W., Rozemuller, A. J., Foncke, E. M., & van de Berg, W. D. (2016). Distribution and Load of Amyloid-β Pathology in Parkinson Disease and Dementia with Lewy Bodies. Journal of neuropathology and experimental neurology, 75(10), 936-945. https://doi.org/10.1093/jnen/nlw070
Hepp, Dagmar H, et al. "Distribution and Load of Amyloid-β Pathology in Parkinson Disease and Dementia with Lewy Bodies." Journal of neuropathology and experimental neurology vol. 75,10 (2016): 936-945. doi: https://doi.org/10.1093/jnen/nlw070
Hepp DH, Vergoossen DL, Huisman E, Lemstra AW, Berendse HW, Rozemuller AJ, Foncke EM, van de Berg WD. Distribution and Load of Amyloid-β Pathology in Parkinson Disease and Dementia with Lewy Bodies. J Neuropathol Exp Neurol. 2016 Oct;75(10):936-945. doi: 10.1093/jnen/nlw070. Epub 2016 Aug 11. PMID: 27516115.
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Structures of copper(II) and manganese(II) di(hydrogen malonate) dihydrate; effects of intensity profile truncation and background modelling on structure models.

Acta crystallographica. Section B, Structural science

Lenstra AT, Kataeva ON.
PMID: 11468376
Acta Crystallogr B. 2001 Aug;57:497-506. doi: 10.1107/s0108768101004050. Epub 2001 Jul 25.

The crystal structures of the title compounds were determined with net intensities I derived via the background-peak-background procedure. Least-squares optimizations reveal differences between the low-order (0 < s < 0.7 A(-1)) and high-order (0.7 < s < 1.0 A(-1))...

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Lenstra AT, Kataeva ON. Structures of copper(II) and manganese(II) di(hydrogen malonate) dihydrate; effects of intensity profile truncation and background modelling on structure models. Acta Crystallogr B. 2001;57:497-506doi: 10.1107/s0108768101004050.
Lenstra, A. T., & Kataeva, O. N. (2001). Structures of copper(II) and manganese(II) di(hydrogen malonate) dihydrate; effects of intensity profile truncation and background modelling on structure models. Acta crystallographica. Section B, Structural science, 57497-506. https://doi.org/10.1107/s0108768101004050
Lenstra, A T, and Kataeva, O N. "Structures of copper(II) and manganese(II) di(hydrogen malonate) dihydrate; effects of intensity profile truncation and background modelling on structure models." Acta crystallographica. Section B, Structural science vol. 57 (2001): 497-506. doi: https://doi.org/10.1107/s0108768101004050
Lenstra AT, Kataeva ON. Structures of copper(II) and manganese(II) di(hydrogen malonate) dihydrate; effects of intensity profile truncation and background modelling on structure models. Acta Crystallogr B. 2001 Aug;57:497-506. doi: 10.1107/s0108768101004050. Epub 2001 Jul 25. PMID: 11468376.
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Molecular and crystal properties of E-1,2-bis(3-methoxy-2-thienyl)ethene: static disorder in the crystal.

Acta crystallographica. Section B, Structural science

Blockhuys F, Vande Velde CM, Maes ST, Peten C, Geise HJ, Van Alsenoy C, Lenstra AT.
PMID: 14634254
Acta Crystallogr B. 2003 Dec;59:770-8. doi: 10.1107/s0108768103021013. Epub 2003 Nov 25.

The crystal structure of E-1,2-bis(3-methoxy-2-thienyl)ethene (C12H12O2S2) has been determined at five different temperatures, i.e. room temperature (293), 223, 173, 123 and 93 K. The solid-state work is complemented by the results of theoretical calculations of energies, geometries, difference electron...

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Blockhuys F, Vande Velde CM, Maes ST, et al. Molecular and crystal properties of E-1,2-bis(3-methoxy-2-thienyl)ethene: static disorder in the crystal. Acta Crystallogr B. 2003;59:770-8doi: 10.1107/s0108768103021013.
Blockhuys, F., Vande Velde, C. M., Maes, S. T., Peten, C., Geise, H. J., Van Alsenoy, C., & Lenstra, A. T. (2003). Molecular and crystal properties of E-1,2-bis(3-methoxy-2-thienyl)ethene: static disorder in the crystal. Acta crystallographica. Section B, Structural science, 59770-8. https://doi.org/10.1107/s0108768103021013
Blockhuys, Frank, et al. "Molecular and crystal properties of E-1,2-bis(3-methoxy-2-thienyl)ethene: static disorder in the crystal." Acta crystallographica. Section B, Structural science vol. 59 (2003): 770-8. doi: https://doi.org/10.1107/s0108768103021013
Blockhuys F, Vande Velde CM, Maes ST, Peten C, Geise HJ, Van Alsenoy C, Lenstra AT. Molecular and crystal properties of E-1,2-bis(3-methoxy-2-thienyl)ethene: static disorder in the crystal. Acta Crystallogr B. 2003 Dec;59:770-8. doi: 10.1107/s0108768103021013. Epub 2003 Nov 25. PMID: 14634254.
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Segmental Mobility in the Non-crystalline Regions of Semicrystalline Polymers and its Implications on Melting.

Macromolecular rapid communications

Rastogi S, Yao Y, Lippits DR, Höhne GW, Graf R, Spiess HW, Lemstra PJ.
PMID: 21706665
Macromol Rapid Commun. 2009 May 19;30(9):826-39. doi: 10.1002/marc.200900025. Epub 2009 May 13.

Detailed knowledge on chain mobility in polymers is of fundamental interest in order to understand their mechanical properties. As a specific example, the melting behavior of semicrystalline polyethylene can be studied by thermal analysis and NMR spectroscopy. In ultra...

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Rastogi S, Yao Y, Lippits DR, et al. Segmental Mobility in the Non-crystalline Regions of Semicrystalline Polymers and its Implications on Melting. Macromol Rapid Commun. 2009;30(9):826-39doi: 10.1002/marc.200900025.
Rastogi, S., Yao, Y., Lippits, D. R., Höhne, G. W., Graf, R., Spiess, H. W., & Lemstra, P. J. (2009). Segmental Mobility in the Non-crystalline Regions of Semicrystalline Polymers and its Implications on Melting. Macromolecular rapid communications, 30(9), 826-39. https://doi.org/10.1002/marc.200900025
Rastogi, Sanjay, et al. "Segmental Mobility in the Non-crystalline Regions of Semicrystalline Polymers and its Implications on Melting." Macromolecular rapid communications vol. 30,9 (2009): 826-39. doi: https://doi.org/10.1002/marc.200900025
Rastogi S, Yao Y, Lippits DR, Höhne GW, Graf R, Spiess HW, Lemstra PJ. Segmental Mobility in the Non-crystalline Regions of Semicrystalline Polymers and its Implications on Melting. Macromol Rapid Commun. 2009 May 19;30(9):826-39. doi: 10.1002/marc.200900025. Epub 2009 May 13. PMID: 21706665.
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Non-adherence in type 2 diabetes: practical considerations for interpreting the literature.

Patient preference and adherence

Blackburn DF, Swidrovich J, Lemstra M.
PMID: 23487395
Patient Prefer Adherence. 2013;7:183-9. doi: 10.2147/PPA.S30613. Epub 2013 Mar 03.

The rising prevalence of type 2 diabetes poses a serious threat to human health and the viability of many health care systems around the world. Although several prescription medications can play a vital role in controlling symptoms and preventing...

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Blackburn DF, Swidrovich J, Lemstra M. Non-adherence in type 2 diabetes: practical considerations for interpreting the literature. Patient Prefer Adherence. 2013;7:183-9doi: 10.2147/PPA.S30613.
Blackburn, D. F., Swidrovich, J., & Lemstra, M. (2013). Non-adherence in type 2 diabetes: practical considerations for interpreting the literature. Patient preference and adherence, 7183-9. https://doi.org/10.2147/PPA.S30613
Blackburn, David F, et al. "Non-adherence in type 2 diabetes: practical considerations for interpreting the literature." Patient preference and adherence vol. 7 (2013): 183-9. doi: https://doi.org/10.2147/PPA.S30613
Blackburn DF, Swidrovich J, Lemstra M. Non-adherence in type 2 diabetes: practical considerations for interpreting the literature. Patient Prefer Adherence. 2013;7:183-9. doi: 10.2147/PPA.S30613. Epub 2013 Mar 03. PMID: 23487395; PMCID: PMC3592508.
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Data-Driven Differential Diagnosis of Dementia Using Multiclass Disease State Index Classifier.

Frontiers in aging neuroscience

Tolonen A, Rhodius-Meester HFM, Bruun M, Koikkalainen J, Barkhof F, Lemstra AW, Koene T, Scheltens P, Teunissen CE, Tong T, Guerrero R, Schuh A, Ledig C, Baroni M, Rueckert D, Soininen H, Remes AM, Waldemar G, Hasselbalch SG, Mecocci P, van der Flier WM, Lötjönen J.
PMID: 29922145
Front Aging Neurosci. 2018 Apr 25;10:111. doi: 10.3389/fnagi.2018.00111. eCollection 2018.

Clinical decision support systems (CDSSs) hold potential for the differential diagnosis of neurodegenerative diseases. We developed a novel CDSS, the PredictND tool, designed for differential diagnosis of different types of dementia. It combines information obtained from multiple diagnostic tests...

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Tolonen A, Rhodius-Meester HFM, Bruun M, et al. Data-Driven Differential Diagnosis of Dementia Using Multiclass Disease State Index Classifier. Front Aging Neurosci. 2018;10:111doi: 10.3389/fnagi.2018.00111.
Tolonen, A., Rhodius-Meester, H. F. M., Bruun, M., Koikkalainen, J., Barkhof, F., Lemstra, A. W., Koene, T., Scheltens, P., Teunissen, C. E., Tong, T., Guerrero, R., Schuh, A., Ledig, C., Baroni, M., Rueckert, D., Soininen, H., Remes, A. M., Waldemar, G., Hasselbalch, S. G., Mecocci, P., van der Flier, W. M., & Lötjönen, J. (2018). Data-Driven Differential Diagnosis of Dementia Using Multiclass Disease State Index Classifier. Frontiers in aging neuroscience, 10111. https://doi.org/10.3389/fnagi.2018.00111
Tolonen, Antti, et al. "Data-Driven Differential Diagnosis of Dementia Using Multiclass Disease State Index Classifier." Frontiers in aging neuroscience vol. 10 (2018): 111. doi: https://doi.org/10.3389/fnagi.2018.00111
Tolonen A, Rhodius-Meester HFM, Bruun M, Koikkalainen J, Barkhof F, Lemstra AW, Koene T, Scheltens P, Teunissen CE, Tong T, Guerrero R, Schuh A, Ledig C, Baroni M, Rueckert D, Soininen H, Remes AM, Waldemar G, Hasselbalch SG, Mecocci P, van der Flier WM, Lötjönen J. Data-Driven Differential Diagnosis of Dementia Using Multiclass Disease State Index Classifier. Front Aging Neurosci. 2018 Apr 25;10:111. doi: 10.3389/fnagi.2018.00111. eCollection 2018. PMID: 29922145; PMCID: PMC5996907.
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Multi-ancestral origin of intestinal tumors: Impact on growth, progression, and drug efficacy.

Cancer reports (Hoboken, N.J.)

Leystra AA, Gilsdorf BJ, Wisinger AM, Warda ER, Wiegand S, Zahm CD, Matkowskyj KA, Deming DA, Khan N, Rosemarie Q, Sievers CK, Schwartz AR, Albrecht DM, Clipson L, Mukhtar H, Newton MA, Halberg RB.
PMID: 34245130
Cancer Rep (Hoboken). 2021 Jul 10;e1459. doi: 10.1002/cnr2.1459. Epub 2021 Jul 10.

BACKGROUND: Data are steadily accruing that demonstrate that intestinal tumors are frequently derived from multiple founding cells, resulting in tumors comprised of distinct ancestral clones that might cooperate or alternatively compete, thereby potentially impacting different phases of the disease...

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Leystra AA, Gilsdorf BJ, Wisinger AM, et al. Multi-ancestral origin of intestinal tumors: Impact on growth, progression, and drug efficacy. Cancer Rep (Hoboken). 2021;e1459doi: 10.1002/cnr2.1459.
Leystra, A. A., Gilsdorf, B. J., Wisinger, A. M., Warda, E. R., Wiegand, S., Zahm, C. D., Matkowskyj, K. A., Deming, D. A., Khan, N., Rosemarie, Q., Sievers, C. K., Schwartz, A. R., Albrecht, D. M., Clipson, L., Mukhtar, H., Newton, M. A., & Halberg, R. B. (2021). Multi-ancestral origin of intestinal tumors: Impact on growth, progression, and drug efficacy. Cancer reports (Hoboken, N.J.), e1459. https://doi.org/10.1002/cnr2.1459
Leystra, Alyssa A, et al. "Multi-ancestral origin of intestinal tumors: Impact on growth, progression, and drug efficacy." Cancer reports (Hoboken, N.J.) vol. (2021): e1459. doi: https://doi.org/10.1002/cnr2.1459
Leystra AA, Gilsdorf BJ, Wisinger AM, Warda ER, Wiegand S, Zahm CD, Matkowskyj KA, Deming DA, Khan N, Rosemarie Q, Sievers CK, Schwartz AR, Albrecht DM, Clipson L, Mukhtar H, Newton MA, Halberg RB. Multi-ancestral origin of intestinal tumors: Impact on growth, progression, and drug efficacy. Cancer Rep (Hoboken). 2021 Jul 10;e1459. doi: 10.1002/cnr2.1459. Epub 2021 Jul 10. PMID: 34245130.
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A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer's disease, and mild cognitive impairment using brain 18F-FDG PET.

European journal of nuclear medicine and molecular imaging

Etminani K, Soliman A, Davidsson A, Chang JR, Martínez-Sanchis B, Byttner S, Camacho V, Bauckneht M, Stegeran R, Ressner M, Agudelo-Cifuentes M, Chincarini A, Brendel M, Rominger A, Bruffaerts R, Vandenberghe R, Kramberger MG, Trost M, Nicastro N, Frisoni GB, Lemstra AW, van Berckel BNM, Pilotto A, Padovani A, Morbelli S, Aarsland D, Nobili F, Garibotto V, Ochoa-Figueroa M.
PMID: 34328531
Eur J Nucl Med Mol Imaging. 2021 Jul 30; doi: 10.1007/s00259-021-05483-0. Epub 2021 Jul 30.

PURPOSE: The purpose of this study is to develop and validate a 3D deep learning model that predicts the final clinical diagnosis of Alzheimer's disease (AD), dementia with Lewy bodies (DLB), mild cognitive impairment due to Alzheimer's disease (MCI-AD),...

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Etminani K, Soliman A, Davidsson A, et al. A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer's disease, and mild cognitive impairment using brain 18F-FDG PET. Eur J Nucl Med Mol Imaging. 2021;doi: 10.1007/s00259-021-05483-0.
Etminani, K., Soliman, A., Davidsson, A., Chang, J. R., Martínez-Sanchis, B., Byttner, S., Camacho, V., Bauckneht, M., Stegeran, R., Ressner, M., Agudelo-Cifuentes, M., Chincarini, A., Brendel, M., Rominger, A., Bruffaerts, R., Vandenberghe, R., Kramberger, M. G., Trost, M., Nicastro, N., Frisoni, G. B., Lemstra, A. W., van Berckel, B. N. M., Pilotto, A., Padovani, A., Morbelli, S., Aarsland, D., Nobili, F., Garibotto, V., & Ochoa-Figueroa, M. (2021). A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer's disease, and mild cognitive impairment using brain 18F-FDG PET. European journal of nuclear medicine and molecular imaging, . https://doi.org/10.1007/s00259-021-05483-0
Etminani, Kobra, et al. "A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer's disease, and mild cognitive impairment using brain 18F-FDG PET." European journal of nuclear medicine and molecular imaging vol. (2021). doi: https://doi.org/10.1007/s00259-021-05483-0
Etminani K, Soliman A, Davidsson A, Chang JR, Martínez-Sanchis B, Byttner S, Camacho V, Bauckneht M, Stegeran R, Ressner M, Agudelo-Cifuentes M, Chincarini A, Brendel M, Rominger A, Bruffaerts R, Vandenberghe R, Kramberger MG, Trost M, Nicastro N, Frisoni GB, Lemstra AW, van Berckel BNM, Pilotto A, Padovani A, Morbelli S, Aarsland D, Nobili F, Garibotto V, Ochoa-Figueroa M. A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer's disease, and mild cognitive impairment using brain 18F-FDG PET. Eur J Nucl Med Mol Imaging. 2021 Jul 30; doi: 10.1007/s00259-021-05483-0. Epub 2021 Jul 30. PMID: 34328531.
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Acute response to cholinergic challenge predicts long-term response to galantamine treatment in patients with Alzheimer's Disease.

British journal of clinical pharmacology

Baakman AC, Gavan C, van Doeselaar L, de Kam M, Broekhuizen K, Bajenaru O, Camps L, Swart EL, Kalisvaart K, Schoonenboom N, Lemstra E, Scheltens P, Cohen A, van Gerven J, Groeneveld GJ.
PMID: 34964149
Br J Clin Pharmacol. 2021 Dec 28; doi: 10.1111/bcp.15206. Epub 2021 Dec 28.

BACKGROUND: Cholinesterase inhibitors (CEIs) have been shown to improve cognitive functioning in Alzheimer's Disease (AD) patients, but are associated with multiple side effects and only 20-40% of the patients clinically improve. In this study, we aimed to investigate the...

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Baakman AC, Gavan C, van Doeselaar L, et al. Acute response to cholinergic challenge predicts long-term response to galantamine treatment in patients with Alzheimer's Disease. Br J Clin Pharmacol. 2021;doi: 10.1111/bcp.15206.
Baakman, A. C., Gavan, C., van Doeselaar, L., de Kam, M., Broekhuizen, K., Bajenaru, O., Camps, L., Swart, E. L., Kalisvaart, K., Schoonenboom, N., Lemstra, E., Scheltens, P., Cohen, A., van Gerven, J., & Groeneveld, G. J. (2021). Acute response to cholinergic challenge predicts long-term response to galantamine treatment in patients with Alzheimer's Disease. British journal of clinical pharmacology, . https://doi.org/10.1111/bcp.15206
Baakman, Anne Catrien, et al. "Acute response to cholinergic challenge predicts long-term response to galantamine treatment in patients with Alzheimer's Disease." British journal of clinical pharmacology vol. (2021). doi: https://doi.org/10.1111/bcp.15206
Baakman AC, Gavan C, van Doeselaar L, de Kam M, Broekhuizen K, Bajenaru O, Camps L, Swart EL, Kalisvaart K, Schoonenboom N, Lemstra E, Scheltens P, Cohen A, van Gerven J, Groeneveld GJ. Acute response to cholinergic challenge predicts long-term response to galantamine treatment in patients with Alzheimer's Disease. Br J Clin Pharmacol. 2021 Dec 28; doi: 10.1111/bcp.15206. Epub 2021 Dec 28. PMID: 34964149.
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Association of Plasma p-tau181 and p-tau231 Concentrations With Cognitive Decline in Patients With Probable Dementia With Lewy Bodies.

JAMA neurology

Gonzalez MC, Ashton NJ, Gomes BF, Tovar-Rios DA, Blanc F, Karikari TK, Mollenhauer B, Pilotto A, Lemstra A, Paquet C, Abdelnour C, Kramberger MG, Bonanni L, Vandenberghe R, Hye A, Blennow K, Zetterberg H, Aarsland D.
PMID: 34807233
JAMA Neurol. 2022 Jan 01;79(1):32-37. doi: 10.1001/jamaneurol.2021.4222.

IMPORTANCE: Plasma phosphorylated tau (p-tau) has proven to be an accurate biomarker for Alzheimer disease (AD) pathologic characteristics, offering a less expensive and less invasive alternative to cerebrospinal fluid (CSF) and positron emission tomography biomarkers for amyloid-β and tau....

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Gonzalez MC, Ashton NJ, Gomes BF, et al. Association of Plasma p-tau181 and p-tau231 Concentrations With Cognitive Decline in Patients With Probable Dementia With Lewy Bodies. JAMA Neurol. 2022;79(1):32-37doi: 10.1001/jamaneurol.2021.4222.
Gonzalez, M. C., Ashton, N. J., Gomes, B. F., Tovar-Rios, D. A., Blanc, F., Karikari, T. K., Mollenhauer, B., Pilotto, A., Lemstra, A., Paquet, C., Abdelnour, C., Kramberger, M. G., Bonanni, L., Vandenberghe, R., Hye, A., Blennow, K., Zetterberg, H., Aarsland, D. (2022). Association of Plasma p-tau181 and p-tau231 Concentrations With Cognitive Decline in Patients With Probable Dementia With Lewy Bodies. JAMA neurology, 79(1), 32-37. https://doi.org/10.1001/jamaneurol.2021.4222
Gonzalez, Maria C, et al. "Association of Plasma p-tau181 and p-tau231 Concentrations With Cognitive Decline in Patients With Probable Dementia With Lewy Bodies." JAMA neurology vol. 79,1 (2022): 32-37. doi: https://doi.org/10.1001/jamaneurol.2021.4222
Gonzalez MC, Ashton NJ, Gomes BF, Tovar-Rios DA, Blanc F, Karikari TK, Mollenhauer B, Pilotto A, Lemstra A, Paquet C, Abdelnour C, Kramberger MG, Bonanni L, Vandenberghe R, Hye A, Blennow K, Zetterberg H, Aarsland D. Association of Plasma p-tau181 and p-tau231 Concentrations With Cognitive Decline in Patients With Probable Dementia With Lewy Bodies. JAMA Neurol. 2022 Jan 01;79(1):32-37. doi: 10.1001/jamaneurol.2021.4222. PMID: 34807233; PMCID: PMC8609462.
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Chain Mobility in Polymer Systems: On the Borderline between Solid and Melt. 2. Crystal Size Influence in Phase Transition and Sintering of Ultrahigh Molecular Weight Polyethylene via the Mobile Hexagonal Phase.

Macromolecules

Rastogi S, Kurelec L, Lemstra PJ.
PMID: 9680442
Macromolecules. 1998 Jul 28;31(15):5022-31. doi: 10.1021/ma980261h.

Polymorphism is a well-established phenomenon in crystalline materials and is important for pharmaceutical and polymeric materials. In our study concerning the processability of polymers, we came across an unusual observation related to polymorphism induced by pressure. The experimental observation...

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Rastogi S, Kurelec L, Lemstra PJ. Chain Mobility in Polymer Systems: On the Borderline between Solid and Melt. 2. Crystal Size Influence in Phase Transition and Sintering of Ultrahigh Molecular Weight Polyethylene via the Mobile Hexagonal Phase. Macromolecules. 1998;31(15):5022-31doi: 10.1021/ma980261h.
Rastogi, S., Kurelec, L., & Lemstra, P. J. (1998). Chain Mobility in Polymer Systems: On the Borderline between Solid and Melt. 2. Crystal Size Influence in Phase Transition and Sintering of Ultrahigh Molecular Weight Polyethylene via the Mobile Hexagonal Phase. Macromolecules, 31(15), 5022-31. https://doi.org/10.1021/ma980261h
Rastogi, et al. "Chain Mobility in Polymer Systems: On the Borderline between Solid and Melt. 2. Crystal Size Influence in Phase Transition and Sintering of Ultrahigh Molecular Weight Polyethylene via the Mobile Hexagonal Phase." Macromolecules vol. 31,15 (1998): 5022-31. doi: https://doi.org/10.1021/ma980261h
Rastogi S, Kurelec L, Lemstra PJ. Chain Mobility in Polymer Systems: On the Borderline between Solid and Melt. 2. Crystal Size Influence in Phase Transition and Sintering of Ultrahigh Molecular Weight Polyethylene via the Mobile Hexagonal Phase. Macromolecules. 1998 Jul 28;31(15):5022-31. doi: 10.1021/ma980261h. PMID: 9680442.
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Showing 1 to 12 of 58 entries