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Journal articles on the topic 'Change trajectories'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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1

Dun, Tim, and Laura Sangster. "Family Trajectories." Qualitative Communication Research 2, no. 3 (2013): 255–80. http://dx.doi.org/10.1525/qcr.2013.2.3.255.

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This qualitative study analyzed intergenerational relationships during a major transition: when the younger generation becomes parents. Using a modified version of the Retrospective Interview Technique, 25 new parents described unfolding changes in their relationships with one of the new grandparents (i.e., a parent or parent-in-law of the informant), beginning with the conversation when they announced the pregnancy. We found four trajectories of change. The analysis suggests that these four patterns both reproduce and challenge socially constructed expectations for new parenthood. Reflecting social expectations for substantial change, most participants’ pathways to new parent-grandparent relationships positioned birth as a central, pivotal event, a novel understanding of change in the research of turning points. In accordance with positive rhetoric in a pronatal society, nearly half of the new parents described a Peak trajectory, where childbirth was at or near the high point in the intergenerational relationship. The results also include Crisis (the inverse of the Peak trajectory), Chaotic, and Steady trajectories. Our findings add to current understandings of the ways in which social norms and expectations of childbirth may influence new parents’ intergenerational communication during this important transition.

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Owen, Jesse, Jill Adelson, Stephanie Budge, Bruce Wampold, Mark Kopta, T. Minami, and Scott Miller. "Trajectories of Change in Psychotherapy." Journal of Clinical Psychology 71, no. 9 (July 30, 2015): 817–27. http://dx.doi.org/10.1002/jclp.22191.

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Akarçay Gürbüz, Ayça. "Comparing trajectories of structural change." Cambridge Journal of Economics 35, no. 6 (April 19, 2011): 1061–85. http://dx.doi.org/10.1093/cje/ber005.

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Klimm, Florian. "Functional change along cellular trajectories." Nature Computational Science 1, no. 2 (February 2021): 102–3. http://dx.doi.org/10.1038/s43588-021-00026-x.

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van der Laan, Carina, Arif Budiman, Judith Verstegen, Stefan Dekker, Wiwin Effendy, André Faaij, Arif Kusuma, and Pita Verweij. "Analyses of Land Cover Change Trajectories Leading to Tropical Forest Loss: Illustrated for the West Kutai and Mahakam Ulu Districts, East Kalimantan, Indonesia." Land 7, no. 3 (September 13, 2018): 108. http://dx.doi.org/10.3390/land7030108.

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In Indonesia, land cover change for agriculture and mining is threatening tropical forests, biodiversity and ecosystem services. However, land cover change is highly dynamic and complex and varies over time and space. In this study, we combined Landsat-based land cover (change) mapping, pixel-to-pixel cross tabulations and expert knowledge to analyze land cover change and forest loss in the West Kutai and Mahakam Ulu districts in East Kalimantan from 1990–2009. We found that about one-third of the study area changed in 1990–2009 and that the different types of land cover changes in the study area increased and involved more diverse and characteristic trajectories in 2000–2009, compared to 1990–2000. Degradation to more open forest types was dominant, and forest was mostly lost due to trajectories that involved deforestation to grasslands and shrubs (~17%), and to a lesser extent due to trajectories from forest to mining and agriculture (11%). Trajectories from forest to small-scale mixed cropland and smallholder rubber occurred more frequently than trajectories to large-scale oil palm or pulpwood plantations; however, the latter increased over time. About 11% of total land cover change involved multiple-step trajectories and thus “intermediate” land cover types. The combined trajectory analysis in this paper thus contributes to a more comprehensive analysis of land cover change and the drivers of forest loss, which is essential to improve future land cover projections and to support spatial planning.

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Braimoh, Ademola K., and Paul L. G. Vlek. "Land-Cover Change Trajectories in Northern Ghana." Environmental Management 36, no. 3 (July 5, 2005): 356–73. http://dx.doi.org/10.1007/s00267-004-0283-7.

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Attix, Deborah K., Tyler J. Story, Gordon J. Chelune, J. D. Ball, Michael L. Stutts, Robert P. Hart, and Jeffrey T. Barth. "The prediction of Change: Normative neuropsychological trajectories." Clinical Neuropsychologist 23, no. 1 (January 2009): 21–38. http://dx.doi.org/10.1080/13854040801945078.

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Abel, L. A., S. Traccis, B. T. Troost, and L. F. Dell'osso. "Saccadic trajectories change with amplitude, not time." Neuro-Ophthalmology 7, no. 6 (January 1987): 309–14. http://dx.doi.org/10.3109/01658108708996009.

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Hussey, David L., and Shenyang Guo. "Behavioral change trajectories of partial hospitalization children." American Journal of Orthopsychiatry 72, no. 4 (2002): 539–47. http://dx.doi.org/10.1037/0002-9432.72.4.539.

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Mertens, Benoît, and Eric F. Lambin. "Land-Cover-Change Trajectories in Southern Cameroon." Annals of the Association of American Geographers 90, no. 3 (September 2000): 467–94. http://dx.doi.org/10.1111/0004-5608.00205.

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Zaïda, Yousra Ben, Vincent Chapurlat, and Didier Crestani. "CONSTRUCTION OF CHANGE TRAJECTORIES FOR MANUFACTURING ENTERPRISE." IFAC Proceedings Volumes 40, no. 18 (September 2007): 631–36. http://dx.doi.org/10.3182/20070927-4-ro-3905.00104.

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Faria de Deus, Raquel, and José António Tenedório. "Coastal Land-Use and Land-Cover Change Trajectories: Are They Sustainable?" Sustainability 13, no. 16 (August 7, 2021): 8840. http://dx.doi.org/10.3390/su13168840.

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In this study, past and current land-use and land-cover (LULC) change trajectories between 1947 and 2018 were analysed in terms of sustainability using a unique set of nine detailed, high-precision LULC thematic maps for the municipality of Portimão (Algarve region), Portugal. Several Geographic Information System (GIS)-based spatial analysis techniques were used to process LULC data and assess the spatiotemporal dynamics of LULC change processes. The dynamics of LULC change were explored by analysing LULC change trajectories. In addition, spatial pattern metrics were introduced to further investigate and quantify the spatial patterns of such LULC change trajectories. The findings show that Portimão has been experiencing complex LULC changes. Nearly 52% of the study area has undergone an LULC change at least once during the 71-year period. The analysis of spatial pattern metrics on LULC change trajectories confirmed the emergence of more complex, dispersed, and fragmented shapes when patches of land were converted from non-built categories into artificial surface categories from 1947 to 2018. The combined analysis of long-term LULC sequences by means of LULC change trajectories and spatial pattern metrics provided useful, actionable, and robust empirical information that can support sustainable spatial planning and smart growth, which is much needed since the results of this study have shown that the pattern of LULC change trajectories in Portimão municipality has been heading towards unsustainability.

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Wang, Chang, and Chu Qing Zheng. "Lane Change Trajectory Planning and Simulation for Intelligent Vehicle." Advanced Materials Research 671-674 (March 2013): 2843–46. http://dx.doi.org/10.4028/www.scientific.net/amr.671-674.2843.

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Aiming at the trajectory planning problem of intelligent vehicle during lane change process, 7 polynomials lane change model was used to control vehicle. Basic model of this model was established at first, and then lane change trajectories were solved by using restriction of movement state. At last, the commonly form of lane change trajectories were obtained. Using real road duration time of lane change, lane change trajectories were simulated with MATLAB. The results shows that this model was suitable for lane change trajectories planning in different speed and it can be used for intelligent vehicle controlling.

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Grimm, Kevin J., Laura Castro-Schilo, and Pega Davoudzadeh. "Modeling Intraindividual Change in Nonlinear Growth Models with Latent Change Scores." GeroPsych 26, no. 3 (January 2013): 153–62. http://dx.doi.org/10.1024/1662-9647/a000093.

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Three central goals of longitudinal research are the modeling of intraindividual change, the examination of interindividual differences in intraindividual change, and the evaluation of determinants of intraindividual change ( Baltes & Nesselroade, 1979 ). The latent growth model is a commonly fit statistical model to examine these goals. However, the latent growth model has difficulty in this examination when change trajectories are nonlinear with respect to time and multiple latent variables impact intraindividual change. We consider a latent growth modeling approach based upon latent change scores ( McArdle, 2001 , 2009 ), which yields information related to these goals of longitudinal research when change trajectories are nonlinear. We illustrate this approach with longitudinal data from the Berkeley Guidance Study regarding lifespan changes in verbal ability.

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Baxter, Gareth, and William Croft. "Modeling language change across the lifespan: Individual trajectories in community change." Language Variation and Change 28, no. 2 (June 17, 2016): 129–73. http://dx.doi.org/10.1017/s0954394516000077.

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AbstractWe use a mathematical model to examine three phenomena involving language change across the lifespan: the apparent time construct, the adolescent peak, and two different patterns of individual change. The apparent time construct is attributed to a decline in flexibility toward language change over one's lifetime; this explanation is borne out in our model. The adolescent peak has been explained by social networks: children interact more with caregivers a generation older until later childhood and adolescence. We find that the peak also occurs with many other network structures, so the peak is not specifically due to caregiver interaction. The two patterns of individual change are one in which most individuals change gradually, following the mean of community change, and another in which most individuals have more categorical behavior and change rapidly if they change at all. Our model suggests that they represent different balances between the differential weighting of competing variants and degree of accommodation to other speakers.

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Dieciuc, Michael, and Walter R. Boot. "The trajectories of conceptual change: mouse-tracking prevalence-induced concept change." Journal of Vision 19, no. 10 (September 6, 2019): 299b. http://dx.doi.org/10.1167/19.10.299b.

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Jennings, Karen M., Matthew Gregas, and Barbara Wolfe. "Trajectories of Change in Body Weight During Inpatient Treatment for Anorexia Nervosa." Journal of the American Psychiatric Nurses Association 24, no. 4 (August 17, 2017): 306–13. http://dx.doi.org/10.1177/1078390317726142.

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BACKGROUND: Identifying distinct trajectories of change in body weight during inpatient treatment for anorexia nervosa (AN) may provide knowledge about the process of weight restoration and may help detect optimal body weight response patterns among individuals who are at risk for not achieving weight restoration or leaving treatment prematurely. OBJECTIVE: This study explored the extent to which distinct trajectories of change in body weight existed among individuals during inpatient treatment for AN. DESIGN: Group-based trajectory modeling was used to identify distinct trajectories of change in body weight among 500 individuals receiving inpatient treatment for AN. RESULTS: Four distinct trajectories were identified: weight gain ( n = 197), treatment resistant ( n = 177), weight plateau ( n = 82), and weight fluctuate ( n = 44). CONCLUSION: Clinically, it is important to consider the heterogeneity of changes in body weight during inpatient treatment to help guide interventions and outcomes.

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Meerbach, Eike, Juan C. Latorre, and Christof Schütte. "Sequential Change Point Detection in Molecular Dynamics Trajectories." Multiscale Modeling & Simulation 10, no. 4 (January 2012): 1263–91. http://dx.doi.org/10.1137/110850621.

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Liberg, Benny, Christoffer Rahm, Anita Panayiotou, and Christos Pantelis. "Brain change trajectories that differentiate the major psychoses." European Journal of Clinical Investigation 46, no. 7 (June 15, 2016): 658–74. http://dx.doi.org/10.1111/eci.12641.

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Dunn, Matt J., and Simon K. Rushton. "Lateral visual occlusion does not change walking trajectories." Journal of Vision 18, no. 9 (September 11, 2018): 11. http://dx.doi.org/10.1167/18.9.11.

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Alderson, Danielle M., Martin G. Evans, Emma L. Shuttleworth, Michael Pilkington, Tom Spencer, Jonathan Walker, and Timothy E. H. Allott. "Trajectories of ecosystem change in restored blanket peatlands." Science of The Total Environment 665 (May 2019): 785–96. http://dx.doi.org/10.1016/j.scitotenv.2019.02.095.

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Beauregard, R. A. "Trajectories of Neighborhood Change: The Case of Gentrification." Environment and Planning A: Economy and Space 22, no. 7 (July 1990): 855–74. http://dx.doi.org/10.1068/a220855.

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Andreoni, A., and R. Scazzieri. "Triggers of change: structural trajectories and production dynamics." Cambridge Journal of Economics 38, no. 6 (July 19, 2013): 1391–408. http://dx.doi.org/10.1093/cje/bet034.

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Fletcher, Evan, Brandon Gavett, Danielle Harvey, Sarah Tomaszewski Farias, John Olichney, Laurel Beckett, Charles DeCarli, and Dan Mungas. "Brain volume change and cognitive trajectories in aging." Neuropsychology 32, no. 4 (May 2018): 436–49. http://dx.doi.org/10.1037/neu0000447.

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Quintas, Paul. "Programmed Innovation? Trajectories of Change in Software Development." Information Technology & People 7, no. 1 (March 1994): 25–47. http://dx.doi.org/10.1108/09593849410074016.

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RIGBY, DAVID L., and BRENT HAYDAMACK. "REGIONAL TRAJECTORIES OF TECHNOLOGICAL CHANGE IN CANADIAN MANUFACTURING." Canadian Geographer/Le Géographe canadien 42, no. 1 (March 1998): 2–13. http://dx.doi.org/10.1111/j.1541-0064.1998.tb01548.x.

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Delmelle, Elizabeth, Jean-Claude Thill, Owen Furuseth, and Thomas Ludden. "Trajectories of Multidimensional Neighbourhood Quality of Life Change." Urban Studies 50, no. 5 (August 29, 2012): 923–41. http://dx.doi.org/10.1177/0042098012458003.

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Bouldin, Erin D., Mary Lou Thompson, Edward J. Boyko, David C. Morgenroth, and Alyson J. Littman. "Weight Change Trajectories After Incident Lower-Limb Amputation." Archives of Physical Medicine and Rehabilitation 97, no. 1 (January 2016): 1–7. http://dx.doi.org/10.1016/j.apmr.2015.09.017.

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Fazey, Ioan, Nathalie Pettorelli, Jasper Kenter, Daniel Wagatora, and Daniel Schuett. "Maladaptive trajectories of change in Makira, Solomon Islands." Global Environmental Change 21, no. 4 (October 2011): 1275–89. http://dx.doi.org/10.1016/j.gloenvcha.2011.07.006.

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Mroczek, D. K., and E. Graham. "TRAJECTORIES OF BIG FIVE PERSONALITY CHANGE IN MIDUS." Innovation in Aging 1, suppl_1 (June 30, 2017): 674. http://dx.doi.org/10.1093/geroni/igx004.2397.

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Nichols, Amy, Monique Hedderson, Fei Xu, Saralyn Foster, Rachel Rickman, and Elizabeth Widen. "Prenatal Weight Change Trajectories Among Women With Obesity." Current Developments in Nutrition 5, Supplement_2 (June 2021): 796. http://dx.doi.org/10.1093/cdn/nzab046_093.

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Abstract Objectives Current gestational weight change (GWC) recommendations were established by the Institute of Medicine (IOM) with limited evidence for pattern and timing of weight change across pregnancy. Likewise, the recommendation of 5–9kg for women with obesity does not differentiate by severity of obesity. We sought to describe GWC trajectory patterns among a large, contemporary cohort of women with obesity. Methods Electronic medical records were abstracted for 22,987 women with obesity (BMI ≥ 30.0) who delivered a singleton pregnancy at Kaiser Permanente Northern California between 2008–2013. We modeled GWC for women with a measured prepregnancy weight, at least three prenatal visit weights, and a normal oral glucose tolerance test at 20 wk gestation. Weight change trajectories were modeled using flexible latent class mixed modeling (package LCMM) in R. Results Before pregnancy, 60.4% of women had class 1 obesity (BMI 30.0–34.9kg/m2), 24.8% class 2 (35.0–39.9), and 14.8% class 3 (≥40.0). Most women identified as White (37.3%) or Hispanic (37.3%), with 12.4% Black and 8.5% Asian. Five GWC trajectory groups across pregnancy were identified, each with a distinct pattern of weight change before 15 wk followed by weight gain thereafter (<15 wk/>15 wk): 12.2% exhibited HighLoss/SteadyGain with mean GWC at delivery of 0.9 ± 3.1kg (mean ± sd); 25.8% LowLoss/SteadyGain (6.4 ± 2.4); 30.4% LowGain/ModerateGain (11.4 ± 2.5); 23.0% ModerateGain/HighGain (16.8 ± 3.1); and 8.6% HighGain/HighGain (24.5 ± 5.0). Prepregnancy obesity classes were represented across GWC trajectory groups but were predominantly in two groups: those with class 1 obesity exhibited LowGain/ModerateGain (32.1%), class 2 was split between LowGain/ModerateGain (29.0%) and LowLoss/SteadyGain (28.8%), and class 3 exhibited LowLoss/SteadyGain (31.8%). Only the LowLoss/SteadyGain (25.8%) group demonstrated total GWC at delivery within the IOM recommendation. Conclusions Among women with obesity, GWC was not linear or uniform, and current recommendations do not reflect nuances of the prenatal period. Gestational weight change in women with obesity can be flexibly modeled using latent classes, an important next step for prenatal weight change guidance. Funding Sources ANDF, KPNC.

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Kirves, Kaisa, Ulla Kinnunen, Nele De Cuyper, and Anne Mäkikangas. "Trajectories of Perceived Employability and Their Associations With Well-Being at Work." Journal of Personnel Psychology 13, no. 1 (January 2014): 46–57. http://dx.doi.org/10.1027/1866-5888/a000103.

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The first aim of this study was to identify trajectories of perceived employability (PE) with a longitudinal person-centered approach, accounting for both the level of PE and changes in PE. The second aim was to examine how the trajectories were related to well-being at work (i.e., vigor at work, job satisfaction, and job exhaustion) with a variable-centered approach. The data were collected in two Finnish universities (N = 926) during 2008–2010 with three measurement points. Growth Mixture Modeling identified four trajectories, which differed in level, stability, and change in PE across time: we established two trajectories with stable PE (88% of the participants), and two trajectories with a nonlinear change pattern in PE (12%). Furthermore, variable-centered analyses showed that the level of PE was positively associated with well-being at work. Moreover, in one change trajectory, the increase in PE was associated with an increase in vigor at work. Overall, these results indicate that PE can be seen as a personal resource. However, the effect of PE is minor in terms of change in employee well-being among highly educated employees.

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Xian, Yuyang, Yongquan Lu, Zipporah Musyimi, and Guilin Liu. "Tracking the Role of Policies and Economic Factors in Driving the Forest Change Trajectories within the Guangdong-Hongkong-Macao Region of China: A Remote Sensing Perspective." Land 10, no. 1 (January 18, 2021): 87. http://dx.doi.org/10.3390/land10010087.

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Though forest ecosystems play a critical role in enhancing ecological, environmental, economic, and societal sustainability, on a global scale, their future outlooks are uncertain given the wide-ranging threats they are exposed to. The uniqueness of this study is to provide a line of evidence in which forest change trajectories are not only tracked but also evaluated through the lenses of forestry and economic oriented events’ timelines. The dynamics of forest change trajectories were mined using a temporal model. To understand the forces driving the changes, the change trajectories were linked to the timelines when forestry policies and economic factors where adopted. During 1980–1990, the forest change trajectory assumed a peak (forest gain). This was interpreted as a response to the adoption of policies that promoted ecological conservation. During 1995–2010, the forest change trajectories reflected the response to the antagonistic effects of forest-oriented policies and the economy-oriented drivers. During 2010–2015, the forest change trajectories assumed a deep (forest loss). This was attributed as a response to the economy-oriented factors. However, inferences from the results indicated that deforestation driven by economic factors was restricted by forest management policies. Though the role of economic factors has promoted developments within the study area, forest policies still constrain illegal logging and play a key role in protecting forests. We hope that insights from this study will inform, support and guide decisions for precise and smart sustainable forest management plans.

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Kudo, Naoki, Kyuheong Choi, Takahiro Kagawa, and Yoji Uno. "Whole-Body Reaching Movements Formulated by Minimum Muscle-Tension Change Criterion." Neural Computation 28, no. 5 (May 2016): 950–69. http://dx.doi.org/10.1162/neco_a_00830.

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It is well known that planar reaching movements of the human shoulder and elbow joints have invariant features: roughly straight hand paths and bell-shaped velocity profiles. The optimal control models with the criteria of smoothness or precision, which determine a unique movement pattern, predict such features of hand trajectories. In this letter on expanding the research on simple arm reaching movements, we examine whether the smoothness criteria can be applied to whole-body reaching movements with many degrees of freedom. Determining a suitable joint trajectory in the whole-body reaching movement corresponds to the optimization problem with constraints, since body balance must be maintained during a motion task. First, we measured human joint trajectories and ground reaction forces during whole-body reaching movements, and confirmed that subjects formed similar movements with common characteristics in the trajectories of the hand position and body center of mass. Second, we calculated the optimal trajectories according to the criteria of torque and muscle-tension smoothness. While the minimum torque change trajectories were not consistent with the experimental data, the minimum muscle-tension change model was able to predict the stereotyped features of the measured trajectories. To explore the dominant effects of the extension from the torque change to the muscle-tension change, we introduced a weighted torque change cost function. Considering the maximum voluntary contraction (MVC) force of the muscle as the weighting factor of each joint torque, we formulated the weighted torque change cost as a simplified version of the minimum muscle-tension change cost. The trajectories owing to the minimum weighted torque change criterion also showed qualitative agreement with the common features of the measured data. Proper estimation of the MVC forces in the body joints is essential to reproduce human whole-body movements according to the minimum muscle-tension change criterion.

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Johnson, Monica Kirkpatrick, and Glen H. Elder. "Educational Pathways and Work Value Trajectories." Sociological Perspectives 45, no. 2 (June 2002): 113–38. http://dx.doi.org/10.1525/sop.2002.45.2.113.

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This study relates change and stability in work values to educational pathways in the transition to adulthood. Using panel data, we examine whether levels and rates of change in work values in the eight years after high school are linked to postsecondary education. Along some value dimensions, initial differences increased notably between those who finished their education with high school and those who obtained postsecondary degrees, with postsecondary students demonstrating larger change on average. Young people who continued their education beyond high school initially placed greater importance on having influence at work and less importance on job security than other young people. These tendencies strengthened over time. Along other dimensions, including extrinsic, altruistic, and social, high school graduates attached less importance to rewards over time, whereas those who obtained postsecondary degrees maintained their initial values to a greater extent. The findings are consistent with the idea that work values predict investments in education, yet also undergo change with continued schooling.

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Bierman, Alex, and Leonard I. Pearlin. "SES, Trajectories of Physical Limitations, and Change in Depression in Late Life." Society and Mental Health 1, no. 3 (October 26, 2011): 139–52. http://dx.doi.org/10.1177/2156869311419676.

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This research examines whether the relationship between socioeconomic status (SES) and change in depression in late life is explained by trajectories of risk of physical limitations. Using a longitudinal study of older adults, this study documents multiple trajectories of risk of mobility limitations and basic activities of daily living (ADLs). Membership in these trajectories explains a substantial portion of the association between SES and change in depression, but it is only when both aspects of physical limitations are taken into account that this association is reduced to nonsignificance. This research demonstrates that important influences on changes in depression in late life are not simply due to aging, but instead are centrally contingent on individual placement in structures of inequality. Furthermore, the findings underscore that attention to both mobility limitations and ADLs is required to explain the relationship between SES and change in depression in late life.

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Pardini, Dustin A., and Rolf Loeber. "Interpersonal Callousness Trajectories Across Adolescence." Criminal Justice and Behavior 35, no. 2 (February 2008): 173–96. http://dx.doi.org/10.1177/0093854807310157.

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The current study examined the relation between interpersonal callousness trajectories during adolescence (ages 14 to 18) and characteristics of antisocial personality and internalizing problems in young adulthood (age 26), using a community sample of 506 boys. The influence of several parent and peer factors on callousness trajectories during adolescence was also explored. Although the mean interpersonal callousness trajectory for the entire sample was relatively flat, there was substantial individual variability in both the initial status and rate of change of interpersonal callousness over time. Trajectories of interpersonal callousness were associated with higher levels of antisocial personality features in early adulthood but were unrelated to adult internalizing problems. Conduct problems and parent—child communication difficulties were the best predictors of elevated levels of interpersonal callousness throughout adolescence. However, none of the parenting and peer factors examined predicted substantive changes in interpersonal callousness over time.

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Lee, Christopher S., Kenneth M. Faulkner, and Jessica H. Thompson. "Identifying subgroups: Part 2: Trajectories of change over time." European Journal of Cardiovascular Nursing 19, no. 5 (March 4, 2020): 444–50. http://dx.doi.org/10.1177/1474515120911330.

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Methods to identify multiple trajectories of change over time are of great interest in nursing and in related health research. Latent growth mixture modeling is a data-centered analytic strategy that allows us to study questions about distinct trajectories of change in key measures or outcomes of interest. In this article, a worked example of latent growth mixture modeling is presented to help expose researchers to the use and appeal of this analytic strategy.

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TANG, LI, and MIKI TOYAMA. "Change Trajectories of College Students’ Interest in Their Major :." Japanese Journal of Educational Psychology 64, no. 2 (2016): 212–27. http://dx.doi.org/10.5926/jjep.64.212.

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Harries, Keith. "Violence Change and Cohort Trajectories: Baltimore Neighborhoods, 1990-20001." Urban Geography 25, no. 1 (February 2004): 14–30. http://dx.doi.org/10.2747/0272-3638.25.1.14.

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Maciel, Adeline M., Michelle C. A. Picoli, Lubia Vinhas, and Gilberto Camara. "Identifying Land Use Change Trajectories in Brazil’s Agricultural Frontier." Land 9, no. 12 (December 10, 2020): 506. http://dx.doi.org/10.3390/land9120506.

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Many of the world’s agricultural frontiers are located in the tropics. Crop and cattle expansion in these regions has a strong environmental impact. This paper examines land use and land cover transformations in Brazil, where large swaths of natural vegetation are being removed to make way for agricultural production. In Brazil, the land use dynamics are of great interest regarding the country’s sustainable development and climate mitigation actions, leading to the formulation and implantation of public policies and supply chain interventions to reduce deforestation. This paper uses temporal trajectory analysis to discuss the patterns of agricultural practices change in the different biomes of Mato Grosso State, one of Brazil’s agricultural frontiers. Taking yearly land use and cover classified images from 2001 to 2017, we identified, quantified, and spatialized areas of stability, intensification, reduction, interchange, and expansion of single and double cropping. The LUC Calculus was used as a tool to extract information about trajectories and trajectories of change. Over two decades, the land use change trajectories uncover the interplay between forest removal, cattle raising, grain production, and secondary vegetation regrowth. We observed a direct relationship between the conversion of forest areas to pasture and of pasture to agriculture areas in the Amazon portion of the Mato Grosso State in different periods. Our results enable a better understanding of trends in agricultural practices.

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Chirikova, A. E., and V. G. Ledyaev. "AUTHORITIES IN A MONO-INDUSTRIAL TOWN: TRAJECTORIES OF CHANGE." Вестник Пермского университета. Политология 14, no. 2 (2020): 111–27. http://dx.doi.org/10.17072/2218-1067-2020-2-111-127.

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Walsh, E. I., J. Shaw, and N. Cherbuin. "Trajectories of BMI change impact glucose and insulin metabolism." Nutrition, Metabolism and Cardiovascular Diseases 28, no. 3 (March 2018): 243–51. http://dx.doi.org/10.1016/j.numecd.2017.12.003.

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Condit, Celeste M. "Multi-Layered Trajectories for Academic Contributions to Social Change." Quarterly Journal of Speech 101, no. 1 (January 2, 2015): 258–70. http://dx.doi.org/10.1080/00335630.2015.995436.

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Pollitt, Christopher, and Hilkka Summa. "Trajectories of Reform: Public Management Change in Four Countries." Public Money & Management 17, no. 1 (January 1997): 7–18. http://dx.doi.org/10.1111/1467-9302.00051.

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Lawrence, Erika, and Thomas N. Bradbury. "Trajectories of change in physical aggression and marital satisfaction." Journal of Family Psychology 21, no. 2 (June 2007): 236–47. http://dx.doi.org/10.1037/0893-3200.21.2.236.

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Stanley, Jennifer Tehan, and Derek M. Isaacowitz. "Age-related differences in profiles of mood-change trajectories." Developmental Psychology 47, no. 2 (March 2011): 318–30. http://dx.doi.org/10.1037/a0021023.

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Stensaker, Inger G., and Ann Langley. "Change Management Choices and Trajectories in a Multidivisional Firm." British Journal of Management 21, no. 1 (March 2010): 7–27. http://dx.doi.org/10.1111/j.1467-8551.2009.00657.x.

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Hayward, R. D., and N. Krause. "Trajectories of Late-Life Change in God-Mediated Control." Journals of Gerontology Series B: Psychological Sciences and Social Sciences 68, no. 1 (August 3, 2012): 49–58. http://dx.doi.org/10.1093/geronb/gbs054.

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Garber, Judy, Margaret K. Keiley, and Nina C. Martin. "Developmental trajectories of adolescents' depressive symptoms: Predictors of change." Journal of Consulting and Clinical Psychology 70, no. 1 (2002): 79–95. http://dx.doi.org/10.1037/0022-006x.70.1.79.

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