Journal articles on the topic 'Longitudinal function'

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1

Khorramian, Ali N., S. Atashbar Tehrani, and A. Mirjalili. "Longitudinal heavy quark structure function." Nuclear Physics B - Proceedings Supplements 186 (January 2009): 379–82. http://dx.doi.org/10.1016/j.nuclphysbps.2008.12.085.

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2

Muntner, Paul. "Longitudinal Measurements of Renal Function." Seminars in Nephrology 29, no. 6 (November 2009): 650–57. http://dx.doi.org/10.1016/j.semnephrol.2009.07.010.

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3

Wang, Jinjiao, Jinjiao Wang, Dexia Kong, and XinQi Dong. "PHYSICAL FUNCTION AND LONGITUDINAL CHANGES IN COGNITIVE FUNCTION." Innovation in Aging 3, Supplement_1 (November 2019): S815. http://dx.doi.org/10.1093/geroni/igz038.3005.

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Abstract Among 2,038 older Chinese adults in the U.S., we examined the relationship between physical function (Short Performance Physical Battery [SPPB], [instrumental] activities of daily living [ADL/IADL] limitations) at baseline (2011-2013) and changes in cognitive function in the two-year follow-up (2013-2015). Cognitive function was measured by the East Boston Memory Test (EBMT), the Digit Span Backwards assessment (DSB), the Symbol Digit Modalities Test (SDMT), and the Mini-Mental State Examination (MMSE). During the two-year follow-up, 41.8%-50.88% of the participants decreased in cognitive function and 32.88%-44.8% increased. In linear regression that adjusted for baseline cognitive function, education, age, and other covariates, baseline SPPB and ADL/IADL limitations were significantly associated with changes in cognitive function in the two-year follow-up (SPPB: βEBMT=0.0149, p<0.05; βDSB=0.0253, p>0.05; βSDMT=0.2742, p<0.01; βMMSE=0.1070, p<0.001; ADL/IADL limitations: βEBMT= -0.0401, p<0.0001; βDSB= -0.0410, p<0.05; βSDMT= -0.3027, p<0.01; βMMSE= -0.2566, p<0.0001). This suggests that better physical function predicts positive changes in cognitive function.
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4

van der Schaar, M., H. Arenhövel, H. P. Blok, H. J. Bulten, E. Hummel, E. Jans, L. Lapikás, et al. "Longitudinal-transverse interference structure function ofH2." Physical Review Letters 68, no. 6 (February 10, 1992): 776–79. http://dx.doi.org/10.1103/physrevlett.68.776.

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5

Downs, Jennepher, Ami Bebbington, Walter E. Kaufmann, and Helen Leonard. "Longitudinal Hand Function in Rett Syndrome." Journal of Child Neurology 26, no. 3 (October 4, 2010): 334–40. http://dx.doi.org/10.1177/0883073810381920.

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6

Sherrill, Duane, and Giovanni Viegi. "On Modeling Longitudinal Pulmonary Function Data." American Journal of Respiratory and Critical Care Medicine 154, no. 6_pt_2 (December 1996): S217—S222. http://dx.doi.org/10.1164/ajrccm/154.6_pt_2.s217.

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7

Paterson, W. G. "Studies on opossum esophageal longitudinal muscle function." Canadian Journal of Physiology and Pharmacology 75, no. 1 (January 1, 1997): 65–73. http://dx.doi.org/10.1139/y96-154.

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8

Galatz, Leesa M., Sean Griggs, Brian D. Cameron, and Joseph P. Iannotti. "Prospective Longitudinal Analysis of Postoperative Shoulder Function." Journal of Bone and Joint Surgery-American Volume 83, no. 7 (July 2001): 1052–56. http://dx.doi.org/10.2106/00004623-200107000-00011.

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9

GOTTLIEB, DANIEL J, JEMMA B WILK, MICHAEL HARMON, JANE C EVANS, OSCAR JOOST, DANIEL LEVY, GEORGE T O'CONNOR, and RICHARD H MYERS. "Heritability of Longitudinal Change in Lung Function." American Journal of Respiratory and Critical Care Medicine 164, no. 9 (November 2001): 1655–59. http://dx.doi.org/10.1164/ajrccm.164.9.2010122.

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10

Schmidt, C. DuWayne, Robert L. Jensen, Lorimer T. Christensen, Robert O. Crapo, and Jack J. Davis. "Longitudinal Pulmonary Function Changes in Pigeon Breeders." Chest 93, no. 2 (February 1988): 359–63. http://dx.doi.org/10.1378/chest.93.2.359.

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11

Beason-Held, L. L., M. A. Kraut, and S. M. Resnick. "I. Longitudinal changes in aging brain function." Neurobiology of Aging 29, no. 4 (April 2008): 483–96. http://dx.doi.org/10.1016/j.neurobiolaging.2006.10.031.

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12

Mohammadzadeh, Vahid, Alessandro Rabiolo, Qiang Fu, Esteban Morales, Anne L. Coleman, Simon K. Law, Joseph Caprioli, and Kouros Nouri-Mahdavi. "Longitudinal Macular Structure–Function Relationships in Glaucoma." Ophthalmology 127, no. 7 (July 2020): 888–900. http://dx.doi.org/10.1016/j.ophtha.2020.01.023.

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13

Lavine, Steven J., and Kais A. Al Balbissi. "Reduced Longitudinal Function in Chronic Aortic Regurgitation." Journal of Cardiovascular Ultrasound 23, no. 4 (2015): 219. http://dx.doi.org/10.4250/jcu.2015.23.4.219.

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14

Alten, Florian, Peter Heiduschka, Christoph R. Clemens, and Nicole Eter. "Longitudinal Structure/Function Analysis in Reticular Pseudodrusen." Investigative Opthalmology & Visual Science 55, no. 9 (September 24, 2014): 6073. http://dx.doi.org/10.1167/iovs.13-13804.

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15

Ekinci, Elif I., Zhong X. Lu, Ken Sikaris, Intissar Bittar, Karey Y. Cheong, Que Lam, Nick Crinis, and Christine A. Houlihan. "Longitudinal assessment of thyroid function in pregnancy." Annals of Clinical Biochemistry 50, no. 6 (November 2013): 595–602. http://dx.doi.org/10.1177/0004563213486450.

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16

Conway, Anne, and Cynthia A. Stifter. "Longitudinal Antecedents of Executive Function in Preschoolers." Child Development 83, no. 3 (March 30, 2012): 1022–36. http://dx.doi.org/10.1111/j.1467-8624.2012.01756.x.

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17

D'Agostino, Ralph B., David Sparrow, Scott Weiss, and Bernard Rosner. "Longitudinal models for analysis of respiratory function." Statistics in Medicine 14, no. 20 (October 30, 1995): 2205–16. http://dx.doi.org/10.1002/sim.4780142004.

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18

Kotikov, A. V., G. Parente, and O. A. Sampayo. "Light gluinos and the longitudinal structure function." Physics Letters B 328, no. 3-4 (June 1994): 374–78. http://dx.doi.org/10.1016/0370-2693(94)91493-1.

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19

Liao, Shu-Yi, Xihong Lin, and David C. Christiani. "Occupational exposures and longitudinal lung function decline." American Journal of Industrial Medicine 58, no. 1 (November 10, 2014): 14–20. http://dx.doi.org/10.1002/ajim.22389.

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20

Yang, Seungmin. "A Longitudinal Analysis of Factors Affecting Cognitive Function of elderly living alone by Poverty Status1)." Center for Social Welfare Research Yonsei University 74 (September 30, 2022): 85–116. http://dx.doi.org/10.17997/swry.74.1.4.

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The purpose of this study is to compare the level of cognitive function, and physical, emotional, and social characteristics of elderly living alone according to their poverty status, and to longitudinally investigate the factors affecting cognitive function. The study included 660 the elderly living alone over the age of 65 who were selected from the Korean Longitudinal Study of Ageing(KLoSA) panel data from the fifth year(2014) to the eighth year(2020). Panel regression analysis with random effect model was used to determine the influence of physical, emotional, and social factors on cognitive function. The findings are as the followings: First, the poor elderly living alone were more vulnerable in cognitive function, sociodemographic, physical, and psychological aspects compared to the non-poor elderly living alone. Second, age, level of education, area of residence, religion, subjective health status, depression, life satisfaction, and frequency of contact with close friends were found to be common factors for the elderly living alone groups. Third, gender, activities of daily living, and exercise frequency were found to be factors affecting the cognitive function of the poor elderly living alone, and the number of chronic diseases was that of the non-poor elderly living alone. Through this, it is suggested that it is necessary to classify the elderly living alone according to living conditions such as poverty status. It is needed to be recognized that living alone is a natural form of life rather than an unconditional negative life. It is necessary to pay attention to identifying and supporting the high-level needs of the elderly living alone, such as the ability to live independently, perception of the meaning of life, and self-actualization.
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21

Rajeswaran, Jeevanantham, Eugene H. Blackstone, and John Barnard. "Evolution of association between renal and liver functions while awaiting heart transplant: An application using a bivariate multiphase nonlinear mixed effects model." Statistical Methods in Medical Research 27, no. 7 (November 16, 2016): 2216–30. http://dx.doi.org/10.1177/0962280216678022.

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In many longitudinal follow-up studies, we observe more than one longitudinal outcome. Impaired renal and liver functions are indicators of poor clinical outcomes for patients who are on mechanical circulatory support and awaiting heart transplant. Hence, monitoring organ functions while waiting for heart transplant is an integral part of patient management. Longitudinal measurements of bilirubin can be used as a marker for liver function and glomerular filtration rate for renal function. We derive an approximation to evolution of association between these two organ functions using a bivariate nonlinear mixed effects model for continuous longitudinal measurements, where the two submodels are linked by a common distribution of time-dependent latent variables and a common distribution of measurement errors.
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22

Boroun, G. R., B. Rezaei, and J. K. Sarma. "A phenomenological solution small x to the longitudinal structure function dynamical behavior." International Journal of Modern Physics A 29, no. 32 (December 30, 2014): 1450189. http://dx.doi.org/10.1142/s0217751x14501899.

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In this paper, the evolutions of longitudinal proton structure function have been obtained at small x up to next-to-next-to-leading order using a hard Pomeron behavior. In our paper, evolutions of gluonic as well as heavy longitudinal structure functions have been obtained separately and the total contributions have been calculated. The total longitudinal structure functions have been compared with results of Donnachie–Landshoff (DL) model, Color Dipole (CD) model, kT factorization and H1 data.
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23

Sprague, B., C. B. Phillips, and L. Ross. "LONGITUDINAL CHANGES IN PHYSICAL FUNCTION-COGNITIVE FUNCTION RELATIONSHIPS IN OLDER ADULTHOOD." Innovation in Aging 1, suppl_1 (June 30, 2017): 474–75. http://dx.doi.org/10.1093/geroni/igx004.1689.

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24

Kunne, Fabienne. "COMPASS results on proton longitudinal spin structure function g1and quark fragmentation functions." EPJ Web of Conferences 164 (2017): 01007. http://dx.doi.org/10.1051/epjconf/201716401007.

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25

Cirillo, S., M. Caulo, V. Pieri, A. Falini, and A. Castellano. "Role of Functional Imaging Techniques to Assess Motor and Language Cortical Plasticity in Glioma Patients: A Systematic Review." Neural Plasticity 2019 (November 11, 2019): 1–16. http://dx.doi.org/10.1155/2019/4056436.

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Cerebral plasticity is the ability of the central nervous system to reorganize itself in response to different injuries. The reshaping of functional areas is a crucial mechanism to compensate for damaged function. It is acknowledged that functional remodeling of cortical areas may occur also in glioma patients. Principal limits of previous investigations on cortical plasticity of motor and language functions included scarce reports of longitudinal evaluations and limited sample sizes. This systematic review is aimed at elucidating cortical brain plasticity for motor and language functions, in adult glioma patients, by means of preoperative and intraoperative mapping techniques. We systematically reviewed the literature for prospective studies, assessing cortical plasticity of motor and language functions in low-grade and high-grade gliomas. Eight longitudinal studies investigated cortical plasticity, evaluated by motor and language task-based functional MRI (fMRI), motor navigated transcranial magnetic stimulation (n-TMS), and intraoperative mapping with cortical direct electrocortical stimulation (DES) of language and motor function. Motor function reorganization appeared relatively limited and mostly characterized by intrahemispheric functional changes, including secondary motor cortices. On the other hand, a high level of functional reshaping was found for language function in DES studies. Occurrence of cortical functional reorganization of language function was described focusing on the intrahemispheric recruitment of perilesional areas. However, the association between these functional patterns and recovery of motor and language deficits still remains partially clear. A number of relevant methodological issues possibly affecting the finding generalization emerged, such as the complexity of plasticity outcome measures and the lack of large longitudinal studies. Future studies are required to further confirm these evidences on cortical plasticity in larger samples, combining both functional imaging and intraoperative mapping techniques in longitudinally evaluations.
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26

Seliger, Stephen L., Carrington R. Wendell, Shari R. Waldstein, Luigi Ferrucci, and Alan B. Zonderman. "Renal Function and Long-Term Decline in Cognitive Function: The Baltimore Longitudinal Study of Aging." American Journal of Nephrology 41, no. 4-5 (2015): 305–12. http://dx.doi.org/10.1159/000430922.

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Background: Renal disease has been associated with greater risk of dementia and greater cognitive impairment. However, the relationship of lower renal function with long-term decline in specific domains of cognitive function remains unclear among community-dwelling, non-demented individuals. Methods: Stroke- and dementia-free participants (n = 2,116) were enrolled in the Baltimore Longitudinal Study of Aging, a community-based, prospective, longitudinal study. Renal function was estimated by the inverse of serum creatinine adjusted for age, sex and race and (in sensitivity analyses) estimated glomerular filtration rate (eGFR) using the MDRD formula. Outcome measures were changes in scores on 6 cognitive tests encompassing a range of cognitive functions, measured at 2-year intervals. Mixed-effects regression models examined the longitudinal relations of renal function with cognitive functions after adjusting for demographics, comorbidity and other potential confounders. Results: Mean age at initial testing was 53.9 years (SD 17.1), and 94 participants (4.4%) had an eGFR <60 ml/min/1.73 m2 and 18.5% had at least one comorbidity. With increasing age, longitudinal increases in creatinine concentrations were associated with more rapid decline in performance on several cognitive measures, including the learning slope of the California Verbal Learning Test, a test of verbal learning (p < 0.01), and the Benton Visual Retention Test, a test of visual memory (p < 0.01). Associations were similar for changes in eGFRMDRD, which was also associated with the rate of decline in verbal memory. Conclusion: In a community-based adult population, declines in renal function independently associated with greater long-term declines in visual memory and verbal memory and learning.
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Riordan, Matt M., and Sándor J. Kovács. "Elucidation of spatially distinct compensatory mechanisms in diastole: radial compensation for impaired longitudinal filling in left ventricular hypertrophy." Journal of Applied Physiology 104, no. 2 (February 2008): 513–20. http://dx.doi.org/10.1152/japplphysiol.00848.2007.

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Cardiac output maintenance is so fundamental that, when regional systolic function is impaired, as during ischemia, nonischemic segments compensate by becoming hypercontractile. By analogy, diastolic compensatory mechanisms that maintain filling volume must exist but remain to be fully elucidated. Viewing filling in spatially distinct (longitudinal, radial) mechanistic terms facilitates elucidation of diastolic compensatory mechanisms. Because impairment of longitudinal (long axis) diastolic function (DF) in left ventricular hypertrophy (LVH) is established, we hypothesized that to maintain filling volume, radial (short-axis) filling function would compensate. In 20 normal left ventricular ejection fraction (LVEF) subjects (10 with LVH, 10 without LVH), we analyzed longitudinal function via Doppler tissue imaging of mitral annular motion and radial function as change in short-axis endocardial dimension via M-mode. The spatial (long axis, short axis) endocardial LV dimensions and their changes allowed assignment of E-wave filling volume into (cylindrical geometry-based) longitudinal and radial components. Despite indistinguishable ( P = 0.70) E-wave velocity-time integrals (E-wave filling volume surrogate), systolic stroke volumes, and end-diastolic volumes in the LVH and control groups, longitudinal volume in absolute terms and the percent of E-wave volume accommodated longitudinally were reduced in the LVH group ( P < 0.05 and P < 0.01, respectively), whereas the percent of E-wave volume accommodated radially was enhanced ( P < 0.01). We conclude that, in normal LVEF (decreased longitudinal volume accommodation) LVH subjects vs. controls, spatially distinct compensatory mechanisms in diastole manifest as increased radial volume accommodation per unit of E-wave filling volume. Assessment of spatially distinct diastolic compensatory mechanisms in other pathophysiological subsets is warranted.
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28

Rezaei, B., and G. R. Boroun. "Longitudinal Structure Function F L from Charm Structure Function F 2 c." Communications in Theoretical Physics 59, no. 4 (April 2013): 462–66. http://dx.doi.org/10.1088/0253-6102/59/4/13.

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29

Ekblom, Anna Gerber, Lars B. Dahlin, Hans-Eric Rosberg, Monica Wiig, Michael Werner, and Marianne Arner. "Hand Function in Adults with Radial Longitudinal Deficiency." Journal of Bone and Joint Surgery-American Volume 96, no. 14 (July 2014): 1178–84. http://dx.doi.org/10.2106/jbjs.m.00815.

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30

Takizawa, Kyoko, and Shingo Shirahata. "Analysis of Longitudinal Data with Increasing Variance Function." Japanese Journal of Applied Statistics 37, no. 1 (2008): 37–52. http://dx.doi.org/10.5023/jappstat.37.37.

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31

ter Horst, Rob, Martin Jaeger, Lisa van de Wijer, Wouter A. van der Heijden, Anna M. W. Janssen, Sanne P. Smeekens, Michelle A. E. Brouwer, et al. "Seasonal and Nonseasonal Longitudinal Variation of Immune Function." Journal of Immunology 207, no. 2 (July 14, 2021): 696–708. http://dx.doi.org/10.4049/jimmunol.2000133.

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32

Douglas, Katie M., and Richard J. Porter. "Longitudinal Assessment of Neuropsychological Function in Major Depression." Australian & New Zealand Journal of Psychiatry 43, no. 12 (December 2009): 1105–17. http://dx.doi.org/10.3109/00048670903279887.

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Wang, Xiaorong, Mianzhen Wang, Hong Qiu, Ignatius Yu, and Eiji Yano. "Longitudinal Changes in Pulmonary Function of Asbestos Workers." Journal of Occupational Health 52, no. 5 (September 2010): 272–77. http://dx.doi.org/10.1539/joh.l10062.

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34

Spaan, Julia J., Timo Ekhart, Marc E. A. Spaanderman, and Louis L. H. Peeters. "Renal Function after Preeclampsia: A Longitudinal Pilot Study." Nephron Clinical Practice 120, no. 3 (2012): 156–61. http://dx.doi.org/10.1159/000338690.

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35

CARON, MELISSA, MARIE HUDSON, MURRAY BARON, SHARON NESSIM, and RUSSELL STEELE. "Longitudinal Study of Renal Function in Systemic Sclerosis." Journal of Rheumatology 39, no. 9 (August 1, 2012): 1829–34. http://dx.doi.org/10.3899/jrheum.111417.

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Objective.To determine the prevalence of renal disease and the course of renal function over time in patients with systemic sclerosis (SSc).Methods.We performed a multicenter, longitudinal study of 561 patients with SSc followed in the Canadian Scleroderma Research Group registry. Renal function was measured by the estimated creatinine clearance rate (eCcr) using the Cockcroft-Gault formula. Longitudinal changes in renal function were modeled using statistical analyses that adjusted for patient dropout.Results.Among the study subjects, 112 (20%) had abnormal renal function with no history of scleroderma renal crisis (SRC) and 29 (5%) had a history of SRC at baseline. In models adjusting for patient dropout, we found that patients with abnormal baseline renal function experienced the same annual decline in eCcr as patients with normal baseline renal function (−0.89% per year, 95% CI −2.02%, 0.26%), which is similar to that observed in the general population. Patients with a history of SRC also showed the same rate of decline, although starting from a lower baseline.Conclusion.Renal dysfunction is common in SSc, even among those without a history of SRC. It is generally mild and renal function declines at a rate similar to the general population. These data are of considerable prognostic value for clinicians caring for patients with SSc.
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Farrell, Jay A., Manu Sharma, and Marios Polycarpou. "Longitudinal Flight-Path Control Using Online Function Approximation." Journal of Guidance, Control, and Dynamics 26, no. 6 (November 2003): 885–97. http://dx.doi.org/10.2514/2.6932.

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37

Jamal, Fadi, Cyrille Bergerot, Laurent Argaud, Joseph Loufouat, and Michel Ovize. "Longitudinal strain quantitates regional right ventricular contractile function." American Journal of Physiology-Heart and Circulatory Physiology 285, no. 6 (December 2003): H2842—H2847. http://dx.doi.org/10.1152/ajpheart.00218.2003.

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The assessment of contractile function of the right ventricle (RV) is an important clinical issue, but this remains difficult because of its complex anatomy and structure. We thought to investigate whether new Doppler-derived myocardial deformation indexes may quantify regional contractile RV function during varying loading conditions. In nine pigs, ultrasonic crystals were inserted longitudinally in the RV inflow and outflow tracts to assess regional contractile function. The same RV segments and the interventricular septum were imaged using apical echocardiographic views. Regional function was assessed using two parameters: 1) systolic strain (SS), representing the relative magnitude of segmental systolic shortening; and 2) its temporal derivative, peak systolic strain rate (SR), i.e., the maximal velocity of segmental shortening. Data were acquired at baseline and during partial pulmonary artery constriction (PAC) and inferior vena cava occlusion (IVCO). SS decreased significantly after PAC and IVCO in both the inflow and outflow tracts but only during IVCO in the septum. SR was less sensitive to loading variations in all segments. A significant correlation was found between SS values derived from sonomicrometry and myocardial Doppler in RV segments ( r = 0.84, P < 0.001). Thus regional strain and SR provide complementary information on the heterogeneous RV contractile function and can be accurately and noninvasively quantified using Doppler myocardial imaging.
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Ulrik, C. S. "Outcome of asthma: longitudinal changes in lung function." European Respiratory Journal 13, no. 4 (April 1999): 904. http://dx.doi.org/10.1034/j.1399-3003.1999.13d35.x.

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39

Shobuda, Yoshihiro, and Kohji Hirata. "Longitudinal instability for a purely inductive wake function." Physical Review E 60, no. 2 (August 1, 1999): 2414–17. http://dx.doi.org/10.1103/physreve.60.2414.

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40

Wendell, Carrington R., Shari R. Waldstein, and Alan B. Zonderman. "Nonlinear longitudinal trajectories of cholesterol and neuropsychological function." Neuropsychology 28, no. 1 (2014): 106–12. http://dx.doi.org/10.1037/neu0000002.

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41

Narayanan, Divya, Han Cheng, Rosa A. Tang, and Laura J. Frishman. "Longitudinal Evaluation of Visual Function in Multiple Sclerosis." Optometry and Vision Science 92, no. 10 (October 2015): 976–85. http://dx.doi.org/10.1097/opx.0000000000000684.

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Price, A., H. Griffiths, and B. W. Morris. "A longitudinal study of thyroid function in pregnancy." Clinical Chemistry 35, no. 2 (February 1, 1989): 275–78. http://dx.doi.org/10.1093/clinchem/35.2.275.

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Abstract We undertook a prospective longitudinal study of thyroid function in 36 pregnant women. There were significant increases in thyroxin-binding globulin, thyrotropin, and triiodothyronine. Albumin, free thyroxin (measured by an analog and a nonanalog method), and the free thyroxin index were significantly decreased. Results for the free thyroxin methods were correlated with each other in each trimester. We could find no evidence for artifacts related to albumin or thyroxin-binding globulin with either method for free thyroxin.
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43

Koestenberger, Martin. "Radial and Longitudinal Right Ventricular Function in Children." Circulation Journal 78, no. 9 (2014): 2332. http://dx.doi.org/10.1253/circj.cj-14-0624.

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Hashimoto, Ikuo, and Kazuhiro Watanabe. "Radial and Longitudinal Right Ventricular Function in Children." Circulation Journal 78, no. 9 (2014): 2333. http://dx.doi.org/10.1253/circj.cj-14-0711.

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45

Gill, Thomas M. "Assessment of Function and Disability in Longitudinal Studies." Journal of the American Geriatrics Society 58 (October 2010): S308—S312. http://dx.doi.org/10.1111/j.1532-5415.2010.02914.x.

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46

Farias, Sarah Tomaszewski, Elizabeth Chou, Danielle J. Harvey, Dan Mungas, Bruce Reed, Charles DeCarli, Lovingly Quitania Park, and Laurel Beckett. "Longitudinal trajectories of everyday function by diagnostic status." Psychology and Aging 28, no. 4 (December 2013): 1070–75. http://dx.doi.org/10.1037/a0034069.

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47

Saito, K. "Nucleon structure effect on the longitudinal response function." Nuclear Physics A 680, no. 1-4 (January 2001): 246–49. http://dx.doi.org/10.1016/s0375-9474(00)00421-8.

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48

Hancox, Robert J., Andrew R. Gray, Malcolm R. Sears, and Richie Poulton. "Systemic inflammation and lung function: A longitudinal analysis." Respiratory Medicine 111 (February 2016): 54–59. http://dx.doi.org/10.1016/j.rmed.2015.12.007.

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49

Balthazar, Ursula, and Anne Z. Steiner. "Periconceptional changes in thyroid function: a longitudinal study." Reproductive Biology and Endocrinology 10, no. 1 (2012): 20. http://dx.doi.org/10.1186/1477-7827-10-20.

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Carrel, Thierry. "The importance of longitudinal assessment of valve function." Journal of Thoracic and Cardiovascular Surgery 148, no. 5 (November 2014): 1929–30. http://dx.doi.org/10.1016/j.jtcvs.2014.09.082.

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