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Journal articles on the topic 'Descriptors of recovery trajectories'

Author: Grafiati
Published: 18 May 2024

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1

Gomez, Catalina G., Hector M. Guzman, and Andrew Gonzalez. "Population decline and the effects of disturbances on the structure and recovery of octocoral communities (Coelenterata: Octocorallia) in Pacific Panama." Journal of the Marine Biological Association of the United Kingdom 95, no. 1 (July 17, 2014): 81–90. http://dx.doi.org/10.1017/s0025315414000915.

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Community structure, species composition, and changes over time after disturbances are frequently studied using common descriptors. We used rank abundance distribution plots (RADs), Rényi entropy plots, common theoretical community models, ordination analysis of similarities (ANOSIM and Clusters), and abundance spectra analyses to study the effects of a gradual natural population decline and an anthropogenic punctuated disturbance on the structure of octocoral communities in Panama, considered a hot spot area for octocoral diversity in the Tropical Eastern Pacific. Over a 17-month period, no significant change was found in community structure after a natural yearly population decline of 25.2%. After a disturbance, however, different recovery trajectories were observed in various coral communities. Possible physical and biological explanations for the observed differences include initial local species diversity and abundance, species life history patterns, colony morphology, and the geographical location of the community. Differences in community structure between study sites were best described using a combination of community descriptors, RADs, and abundance spectra. Rényi plots were useful in identifying changes in community structure, whereas the extent of the changes was best evaluated using ANOSIM and cluster analysis.
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Rushton, Alison, Feroz Jadhakhan, Annabel Masson, Victoria Athey, J. Bart Staal, Martin L. Verra, Andrew Emms, et al. "Patient journey following lumbar spinal fusion surgery (FuJourn): A multicentre exploration of the immediate post-operative period using qualitative patient diaries." PLOS ONE 15, no. 12 (December 1, 2020): e0241931. http://dx.doi.org/10.1371/journal.pone.0241931.

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The aim of this study was to capture and understand the immediate recovery journey of patients following lumbar spinal fusion surgery and explore the interacting constructs that shape their journey. A qualitative study using Interpretive Phenomenological Analysis (IPA) approach. A purposive sample of 43 adult patients (≥16 years) undergoing ≤4 level instrumented fusion for back and/or leg pain of degenerative cause, were recruited pre-surgery from 4 UK spinal surgery centres. Patients completed a weekly diary expressed in their own words for the first 4 weeks following surgery to capture their life as lived. Diary content was based on previous research findings and recorded progress, recovery, motivation, symptoms, medications, healthcare appointments, rehabilitation, positive/negative thoughts, and significant moments; comparing to the previous week. To maximise completion and data quality, diaries could be completed in paper form, word document, as online survey or as audio recording. Strategies to enhance diary adherence included a weekly prompt. A framework analysis for individual diaries and then across participants (deductive and inductive components) captured emergent themes. Trustworthiness was enhanced by strategies including reflexivity, attention to negative cases and use of critical co-investigators. Twenty-eight participants (15 female; n = 18 (64.3%) aged 45–64) contributed weekly diaries (12 withdrew post-surgery, 3 did not follow through with surgery). Adherence with diaries was 89.8%. Participants provided diverse and vivid descriptions of recovery experiences. Three distinct recovery trajectories were identified: meaningful recovery (engagement in physical and functional activities to return to functionality/mobility); progressive recovery (small but meaningful improvement in physical ability with increasing confidence); and disruptive recovery (limited purpose for meaningful recovery). Important interacting constructs shaped participants’ recovery including their pain experience and self-efficacy. This is the first account of immediate recovery trajectories from patients’ perspectives. Recognition of a patient’s trajectory may inform patient-centred recovery, follow-up and rehabilitation to improve patient outcomes.
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Mor, M., and S. Dalyot. "ENRICHING WALKING ROUTES WITH TOURISM ATTRACTIONS RETRIEVED FROM CROWDSOURCED USER GENERATED DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2020 (August 3, 2020): 95–102. http://dx.doi.org/10.5194/isprs-annals-v-4-2020-95-2020.

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Abstract. It is always a tourism challenge – and aspiration – to discover scenery routes and tourism attractions in unfamiliar areas. Tourism information is getting more extensive, comprehensive and complex, so first-time tourists have to manage and mine large volumes of data to better plan their trip. Nowadays, geotagged photos are uploaded by users to social media photo-sharing online websites, which become more popular and commonly used by travelers to share their tourism experiences. Handling, mining and interpreting these user-generated ‘digital footprints’ can be used to reconstruct travel trajectories of users to recover their activity and knowledge. In this research, we showcase Flickr geotagged crowdsource photo database as a source for mining users’ trajectories to effectively compute walking tourism routes. Our methodology mines tourism context by conceptualizing a set of adaptive spatiotemporal descriptors to identify photographers that show tourism activity of first-time visitors. By implementing spatial clustering, we find popular locations that are traversed by these tourism-oriented photographers’ trajectories. To analyze our approach, we develop a greedy route computation algorithm that seeks the most popular traversed locations between origin and destination points defined by the user. Results for two cities are presented, proving the robust mining and retrieving of valuable tourism context and information from social media photos. We evaluate and validate our results by comparing the computed walking routes to recognized tourism information. The computed walking routes are scenery and pass through the main popular tourism sights and landmarks in the city, including additional attractive places that are frequently visited by tourism-photographers.
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Wei, Wei, Xin Shu, Peng Chen, and Xiangyun Li. "A chord-angle-based approach with expandable solution space to 1-degree-of-freedom (DOF) rehabilitation mechanism synthesis." Mechanical Sciences 13, no. 1 (April 12, 2022): 341–52. http://dx.doi.org/10.5194/ms-13-341-2022.

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Abstract. Rehabilitation robots have been proven to be an effective tool for patient motor recovery in clinical medicine. Recently, few degrees of freedom (DOFs), especially 1-DOF, rehabilitation robots have drawn increasing attention as the complexity and cost of the control system would be significantly reduced. In this paper, the mechanism synthesis problem of 1-DOF rehabilitation robots is studied. Traditional synthesis methods usually aim at minimizing the trajectory error to generate a mathematically optimal solution, which may not be a practically feasible solution in terms of engineering constraints. Therefore, we propose a novel mechanism synthesis approach based on chord angle descriptor (CAD) and error tolerance expansion to generate a pool of mechanism solutions from which mathematically and practically optimal solutions can be selected. CAD is utilized for its capability to represent the same-shaped trajectories of different mechanisms in a unified way, and it is robust to the noise in the rehabilitation trajectory acquired by motion capture systems. Then a library of mechanism trajectories is established with compressed representations of CAD via an auto-encoder algorithm to speed up the matching between mechanism and rehabilitation trajectory where the matching error tolerance can be adjusted according to practical rehabilitation specifications. Finally, a design example of a 1-DOF rehabilitation robot for upper-limb training is provided to demonstrate the efficacy of our novel approach.
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Kotov, B., V. Hryshchenko, Yu Pantsyr, and I. Herasymchuk. "Electrotechnological complex for dedusting ventilation exhausts heat recovery units in production facilities and units." Energy and automation, no. 2(54) (June 22, 2021): 118–26. http://dx.doi.org/10.31548/energiya2021.02.118.

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Currently, to create a microclimate in the production facilities of agro-industrial production are widely used utilizers of waste heat of ventilation emissions. But the air of such premises is clogged with dust impurities and has a high moisture content, as a result of which condensate falls on the heat-transfer surfaces, and dust sticks to the moistened surface. As a result, the efficiency of heat exchangers is significantly reduced, and the hydraulic resistance increases, which can cause a decrease in air supply. Therefore, there is a need to combat dust in the air supplied to heat recovery units. The most common method of purification of gas streams from solid dust impurities is the deposition of the latter in electrostatic precipitators, to increase the efficiency of which use gravitational moving water film. Currently, there are no mathematical descriptions and calculated dependences for horizontal electrostatic precipitators and electrohydrocyclones. The aim of the study is to formulate a mathematical description of the processes of movement of solid particles in the chambers of the horizontal electrostatic precipitator and electrohydrocyclone. The analysis of the existing systems of heat utilization of exhaust air and influence of dustiness on efficiency of their use is resulted. The possibility of using various systems for dust cleaning of exhaust air in agro-industrial facilities is considered. The technological and constructive scheme of the electrotechnological complex of utilization of heat of ventilating emissions which includes the electrohydrocyclone for clearing of dust of exhaust air is offered. The effect of determining forces, including electric, on the motion of a dust particle in the rotating flow of an electrohydrocyclone is analyzed. Equations describing the motion of a particle in an air rotating flow under the action of an electric field are determined, and mathematical models are compiled to calculate the trajectory of the dust particle. Simplified analytical expressions for particle motion trajectories are presented. Keywords: dust, separation, electric field, cyclone, airflow
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Liao, Zhongke, Haifeng Hu, and Yichu Liu. "Action Recognition with Multiple Relative Descriptors of Trajectories." Neural Processing Letters 51, no. 1 (August 2, 2019): 287–302. http://dx.doi.org/10.1007/s11063-019-10091-z.

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Martínez Carrillo, Fabio, Fabián Castillo, and Lola Bautista. "3D+T dense motion trajectories as kinematics primitives to recognize gestures on depth video sequences." Revista Politécnica 15, no. 29 (July 31, 2019): 82–94. http://dx.doi.org/10.33571/rpolitec.v15n29a7.

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RGB-D sensors have allowed attacking many classical problems in computer vision such as segmentation, scene representations and human interaction, among many others. Regarding motion characterization, typical RGB-D strategies are limited to namely analyze global shape changes and capture scene flow fields to describe local motions in depth sequences. Nevertheless, such strategies only recover motion information among a couple of frames, limiting the analysis of coherent large displacements along time. This work presents a novel strategy to compute 3D+t dense and long motion trajectories as fundamental kinematic primitives to represent video sequences. Each motion trajectory models kinematic words primitives that together can describe complex gestures developed along videos. Such kinematic words were processed into a bag-of-kinematic-words framework to obtain an occurrence video descriptor. The novel video descriptor based on 3D+t motion trajectories achieved an average accuracy of 80% in a dataset of 5 gestures and 100 videos.
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Vochten, Maxim, Tinne De Laet, and Joris De Schutter. "Generalizing demonstrated motion trajectories using coordinate-free shape descriptors." Robotics and Autonomous Systems 122 (December 2019): 103291. http://dx.doi.org/10.1016/j.robot.2019.103291.

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Wang, Heng, Alexander Kläser, Cordelia Schmid, and Cheng-Lin Liu. "Dense Trajectories and Motion Boundary Descriptors for Action Recognition." International Journal of Computer Vision 103, no. 1 (March 6, 2013): 60–79. http://dx.doi.org/10.1007/s11263-012-0594-8.

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Tavakoli, Yashar, Lourdes Peña-Castillo, and Amilcar Soares. "A Study on the Geometric and Kinematic Descriptors of Trajectories in the Classification of Ship Types." Sensors 22, no. 15 (July 26, 2022): 5588. http://dx.doi.org/10.3390/s22155588.

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The classification of ships based on their trajectory descriptors is a common practice that is helpful in various contexts, such as maritime security and traffic management. For the most part, the descriptors are either geometric, which capture the shape of a ship’s trajectory, or kinematic, which capture the motion properties of a ship’s movement. Understanding the implications of the type of descriptor that is used in classification is important for feature engineering and model interpretation. However, this matter has not yet been deeply studied. This article contributes to feature engineering within this field by introducing proper similarity measures between the descriptors and defining sound benchmark classifiers, based on which we compared the predictive performance of geometric and kinematic descriptors. The performance profiles of geometric and kinematic descriptors, along with several standard tools in interpretable machine learning, helped us to provide an account of how different ships differ in movement. Our results indicated that the predictive performance of geometric and kinematic descriptors varied greatly, depending on the classification problem at hand. We also showed that the movement of certain ship classes solely differed geometrically while some other classes differed kinematically and that this difference could be formulated in simple terms. On the other hand, the movement characteristics of some other ship classes could not be delineated along these lines and were more complicated to express. Finally, this study verified the conjecture that the geometric–kinematic taxonomy could be further developed as a tool for more accessible feature selection.
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Mendoza, C., A. M. Mancho, and S. Wiggins. "Lagrangian descriptors and the assessment of the predictive capacity of oceanic data sets." Nonlinear Processes in Geophysics 21, no. 3 (June 18, 2014): 677–89. http://dx.doi.org/10.5194/npg-21-677-2014.

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Abstract. We use a recently developed Lagrangian transport tool, Lagrangian descriptors, to compare the transport properties of data distributed by AVISO and numerical simulations obtained from the HYCOM model in the Yucatán–Florida current system. Our data correspond to the months from June through August 2010. Structures obtained from HYCOM are noisier than those from AVISO; however, both AVISO and HYCOM succeed in identifying Lagrangian structures that influence the paths of drifters, such as eddies, currents, lobes, etc. We find evidence in which AVISO gives the positions of important hyperbolic trajectories in a manner that is inconsistent with the trajectories of the drifters, while for the same examples HYCOM succeeds to this end.
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Jaja, Blessing N. R., Jetan Badhiwala, James Guest, James Harrop, Chris Shaffrey, Max Boakye, Shekar Kurpad, et al. "Trajectory-Based Classification of Recovery in Sensorimotor Complete Traumatic Cervical Spinal Cord Injury." Neurology 96, no. 22 (April 13, 2021): e2736-e2748. http://dx.doi.org/10.1212/wnl.0000000000012028.

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ObjectiveTo test the hypothesis that sensorimotor complete traumatic cervical spinal cord injury (SCI) is a heterogenous clinical entity comprising several subpopulations that follow fundamentally different trajectories of neurologic recovery.MethodsWe analyzed demographic and injury data from 655 patients who were pooled from 4 prospective longitudinal multicenter studies. Group-based trajectory modeling was applied to model neurologic recovery trajectories over the initial 12 months postinjury and to identify predictors of recovery trajectories. Neurologic outcomes included upper extremity motor score, total motor scores, and American Spinal Injury Association Impairment Scale (AIS) grade improvement.ResultsThe analysis identified 3 distinct trajectories of neurologic recovery. These clinical courses included (1) marginal recovery trajectory, characterized by minimal or no improvement in motor strength or change in AIS grade status (remained grade A); (2) moderate recovery trajectory, characterized by low baseline motor scores that improved approximately 13 points or AIS conversion of 1 grade point; (3) good recovery trajectory, characterized by baseline motor scores in the upper quartile that improved to near maximum values within 3 months of injury. Patients following the moderate or good recovery trajectories were younger, had more caudally located injuries, had a higher degree of preserved motor and sensory function at baseline examination, and exhibited a greater extent of motor and sensory function in the zone of partial preservation.ConclusionCervical complete SCI can be classified into one of 3 distinct subpopulations with fundamentally different trajectories of neurologic recovery. This study defines unique clinical phenotypes based on potential for recovery, rather than baseline severity of injury alone. This approach may prove beneficial in clinical prognostication and in the design and interpretation of clinical trials in SCI.
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Sienko, Kathleen H., M. David Balkwill, Lars I. E. Oddsson, and Conrad Wall. "RECOVERY TRAJECTORIES FROM SURFACE PERTURBATIONS DURING LOCOMOTION." Journal of Biomechanics 41 (July 2008): S27. http://dx.doi.org/10.1016/s0021-9290(08)70027-7.

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Bédard, Alexandra, Catherine Bernard, Dominique Meilleur, Danielle Taddeo, Caroline Pesant, Giuseppina Di Meglio, Nathalie Gingras, et al. "Recovery Trajectories in Adolescent Girls with Anorexia Nervosa." Journal of Clinical Medicine 13, no. 3 (January 29, 2024): 778. http://dx.doi.org/10.3390/jcm13030778.

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Background: This study aimed to document recovery trajectories among adolescents with anorexia nervosa (AN) based on three markers of remission, namely changes in body weight, food restriction, and excessive exercise, and to identify predictors of these trajectories. Methods: One hundred twenty-six adolescent girls (14.7 ± 1.3 years) were recruited during initial assessment visits at specialized eating disorder (ED) programs in five University Health Centers across the province of Quebec, Canada. z-BMI and AN symptom severity (food restriction and excessive exercise) were assessed at initial assessment visits and subsequently reassessed at each quarterly follow-up over a 12-month period to identify recovery trajectories. Results: Considering the three markers of remission, three distinct trajectories emerged: Group 1, rapid responders; Group 2, gradual responders; and Group 3, unstable responders. At initial visits, a difference between groups was found regarding the type of treatment (p = 0.01) and weight suppression (p = 0.02). Group 1 had a higher number of youths hospitalized than Group 2 and Group 3, and a greater weight suppression than Group 3. Furthermore, individuals with atypical AN were more likely to belong to Group 2 than to Group 1 and Group 3 (p < 0.0001). Conclusions: This study contributes to a better understanding of the heterogeneity of recovery trajectories in adolescent girls with AN.
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Tulsky, David S., Aaron J. Boulton, Pamela A. Kisala, Allen W. Heinemann, Susan Charlifue, Claire Z. Kalpakjian, Allan J. Kozlowski, et al. "Physical Function Recovery Trajectories After Spinal Cord Injury." Archives of Physical Medicine and Rehabilitation 103, no. 2 (February 2022): 215–23. http://dx.doi.org/10.1016/j.apmr.2021.09.012.

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van Keulen, Thijs, Bram de Jager, and Maarten Steinbuch. "Optimal Trajectories for Vehicles with Energy Recovery Options*." IFAC Proceedings Volumes 44, no. 1 (January 2011): 3831–36. http://dx.doi.org/10.3182/20110828-6-it-1002.02062.

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Daigneault, Isabelle, Mireille Cyr, and Marc Tourigny. "Exploration of Recovery Trajectories in Sexually Abused Adolescents." Journal of Aggression, Maltreatment & Trauma 14, no. 1-2 (March 9, 2007): 165–84. http://dx.doi.org/10.1300/j146v14n01_09.

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Narad, Megan E., Amery Treble-Barna, James Peugh, Keith O. Yeates, H. Gerry Taylor, Terry Stancin, and Shari L. Wade. "Recovery Trajectories of Executive Functioning After Pediatric TBI." Journal of Head Trauma Rehabilitation 32, no. 2 (2017): 98–106. http://dx.doi.org/10.1097/htr.0000000000000247.

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Ryan, Colleen M., Austin Lee, Lewis E. Kazis, Jeffrey C. Schneider, Gabriel D. Shapiro, Robert L. Sheridan, Walter J. Meyer, et al. "Recovery Trajectories After Burn Injury in Young Adults." Journal of Burn Care & Research 36, no. 1 (2015): 118–29. http://dx.doi.org/10.1097/bcr.0000000000000214.

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Desai, Natasha, Douglas J. Wiebe, Daniel J. Corwin, Julia E. Lockyer, Matthew F. Grady, and Christina L. Master. "Factors Affecting Recovery Trajectories in Pediatric Female Concussion." Clinical Journal of Sport Medicine 29, no. 5 (September 2019): 361–67. http://dx.doi.org/10.1097/jsm.0000000000000646.

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Dakhil, Shams, Ingvild Saltvedt, Jūratė Šaltytė Benth, Pernille Thingstad, Leiv Otto Watne, Torgeir Bruun Wyller, Jorunn L. Helbostad, Frede Frihagen, Lars Gunnar Johnsen, and Kristin Taraldsen. "Longitudinal trajectories of functional recovery after hip fracture." PLOS ONE 18, no. 3 (March 29, 2023): e0283551. http://dx.doi.org/10.1371/journal.pone.0283551.

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Background There is limited evidence regarding predictors of functional trajectories after hip fracture. We aimed to identify groups with different trajectories of functional recovery the first year after hip fracture, and to determine predictors for belonging to such groups. Methods This longitudinal study combined data from two large randomized controlled trials including patients with hip fracture. Participants were assessed at baseline, four and 12 months. We used the Nottingham Extended Activities of Daily Living (NEADL) as a measure of instrumental ADL (iADL) and Barthel Index for personal ADL (pADL). A growth mixture model was estimated to identify groups of patients following distinct trajectories of functioning. Baseline characteristics potentially predicting group-belonging were assessed by multiple nominal regression. Results Among 726 participants (mean age 83.0; 74.7% women), we identified four groups of patients following distinct ADL trajectories. None of the groups regained their pre-fracture ADL. For one of the groups identified in both ADL outcomes, a steep decline in function was shown the first four months after surgery, and none of the groups showed functional recovery between four and 12 months after surgery. Conclusions No groups regained their pre-fracture ADL. Some of the patients with relatively high pre-fracture function, had a steep ADL decline. For this group there is a potential for recovery, but more knowledge and research is needed in this group. These findings could be useful in uncovering groups of patients with different functioning after a hip fracture, and aid in discharge planning.
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SEMYKIN, V., D. SVIRIDOV, M. PODOPRIKHIN, V. PROTSENKO, A. BESKO, and N. PODZOROV. "THE RECOVERY OF THE MAIN RESIDUAL STRESS TRAJECTORIES." News of higher educational institutions. Construction 762, no. 6 (June 1, 2022): 109–16. http://dx.doi.org/10.32683/0536-1052-2022-762-6-109-116.

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Katsanikas, M., Víctor J. García-Garrido, and S. Wiggins. "Detection of Dynamical Matching in a Caldera Hamiltonian System Using Lagrangian Descriptors." International Journal of Bifurcation and Chaos 30, no. 09 (July 2020): 2030026. http://dx.doi.org/10.1142/s0218127420300268.

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The goal of this paper is to apply the method of Lagrangian descriptors to reveal the phase space mechanism by which a Caldera-type potential energy surface (PES) exhibits the dynamical matching phenomenon. Using this technique, we can easily establish that the nonexistence of dynamical matching is a consequence of heteroclinic connections between the unstable manifolds of the unstable periodic orbits (UPOs) of the upper index-1 saddles (entrance channels to the Caldera) and the stable manifolds of the family of UPOs of the central minimum of the Caldera, resulting in the temporary trapping of trajectories. Moreover, dynamical matching will occur when there is no heteroclinic connection, which allows trajectories to enter and exit the Caldera without interacting with the shallow region of the central minimum. Knowledge of this phase space mechanism is relevant because it allows us to effectively predict the existence, and nonexistence, of dynamical matching. In this work, we explore a stretched Caldera potential by means of Lagrangian descriptors, allowing us to accurately compute the critical value for the stretching parameter for which dynamical matching behavior occurs in the system. This approach is shown to provide a tremendous advantage for exploring this mechanism in comparison to other methods from nonlinear dynamics that use phase space dividing surfaces.
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Truss, Katie, Stephen J. C. Hearps, Franz E. Babl, Michael Takagi, Gavin A. Davis, Cathriona Clarke, Nicholas Anderson, et al. "Trajectories and Risk Factors for Pediatric Postconcussive Symptom Recovery." Neurosurgery 88, no. 1 (July 27, 2020): 36–45. http://dx.doi.org/10.1093/neuros/nyaa310.

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Abstract BACKGROUND Persistent postconcussive symptoms (PCS) are poorly understood in children. Research has been limited by an assumption that children with concussion are a homogenous group. OBJECTIVE To identify (i) distinctive postconcussive recovery trajectories in children and (ii) injury-related and psychosocial factors associated with these trajectories. METHODS This study is part of a larger prospective, longitudinal study. Parents of 169 children (5-18 yr) reported their child's PCS over 3 mo following concussion. PCS above baseline levels formed the primary outcome. Injury-related, demographic, and preinjury information, and child and parent mental health were assessed for association with trajectory groups. Data were analyzed using group-based trajectory modeling, multinomial logistic regression, and chi-squared tests. RESULTS We identified 5 postconcussive recovery trajectories from acute to 3 mo postinjury. (1) Low Acute Recovered (26.6%): consistently low PCS; (2) Slow to Recover (13.6%): elevated symptoms gradually reducing; (3) High Acute Recovered (29.6%): initially elevated symptoms reducing quickly to baseline; (4) Moderate Persistent (18.3%): consistent, moderate levels of PCS; (5) Severe Persistent (11.8%): persisting high PCS. Higher levels of child internalizing behaviors and greater parental distress were associated with membership to the Severe Persistent group, relative to the Low Acute Recovered group. CONCLUSION This study indicates variability in postconcussive recovery according to 5 differential trajectories, with groups distinguished by the number of reported symptoms, levels of child internalizing behavior problems, and parental psychological distress. Identification of differential recovery trajectories may allow for targeted early intervention for children at risk of poorer outcomes.
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Li, Qingwu, Haisu Cheng, Yan Zhou, and Guanying Huo. "Human Action Recognition Using Improved Salient Dense Trajectories." Computational Intelligence and Neuroscience 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/6750459.

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Human action recognition in videos is a topic of active research in computer vision. Dense trajectory (DT) features were shown to be efficient for representing videos in state-of-the-art approaches. In this paper, we present a more effective approach of video representation using improved salient dense trajectories: first, detecting the motion salient region and extracting the dense trajectories by tracking interest points in each spatial scale separately and then refining the dense trajectories via the analysis of the motion saliency. Then, we compute several descriptors (i.e., trajectory displacement, HOG, HOF, and MBH) in the spatiotemporal volume aligned with the trajectories. Finally, in order to represent the videos better, we optimize the framework of bag-of-words according to the motion salient intensity distribution and the idea of sparse coefficient reconstruction. Our architecture is trained and evaluated on the four standard video actions datasets of KTH, UCF sports, HMDB51, and UCF50, and the experimental results show that our approach performs competitively comparing with the state-of-the-art results.
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Fujimoto, Shinya, Fuminori Kawami, Anna Matsukawa, Shosuke Sato, and Shigeo Tatsuki. "Pre-Existing Inequalities, Post-Event Social Environmental Changes, and Long-Term Trajectories of Life Recovery: Findings from Five-Wave Natori City Life Recovery Panel Survey." Journal of Disaster Research 17, no. 2 (February 1, 2022): 207–16. http://dx.doi.org/10.20965/jdr.2022.p0207.

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This study aims to clarify: 1) the life recovery trajectories that the Great East Japan Earthquake (GEJE) survivors have followed; 2) the interrelationships between the life recovery trajectories and pre-existing inequalities as well as post-event social environmental changes; and 3) pre- and post-GEJE characteristics of the survivors with stagnant life recovery. The analyses are based on five-wave panel data from “Natori City Life Recovery Population Panel Survey” (n = 316), which was conducted in Natori City, Miyagi Prefecture from the fourth to the tenth years after the GEJE. Cluster analysis was performed to classify the life recovery trajectories and identified six distinct patterns. Two types of them remained at a low level of life recovery throughout the five-wave survey. Multiple correspondence analysis was conducted to analyze the relationships among life recovery trajectory patterns, pre-existing inequalities, and post-event social environmental changes. As a result, the survivors in these two types were typically older people, small household members, poor people, and persons with disabilities. These findings indicate that people with vulnerabilities who would experienced daily life troubles before the GEJE were also struggling even after the disaster.
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Boryshpolets, Sergii, Vitaliy Kholodnyy, Jacky Cosson, and Borys Dzyuba. "Fish sperm motility analysis: the central role of the flagellum." Reproduction, Fertility and Development 30, no. 6 (2018): 833. http://dx.doi.org/10.1071/rd17478.

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Motility analysis of spermatozoa relies on the investigation of either head trajectories or flagellum characteristics. Those two sets of parameters are far from being independent, the flagellum playing the role of motor, whereas the head plays a passive role of cargo. Therefore, quantitative descriptions of head trajectories represent a simplification of the complex pattern of whole sperm cell motion, resulting from the waves developed by the flagellum. The flagellum itself responds to a large variety of signals that precisely control its axoneme to allow activation, acceleration, slowing down or reorientation of the whole spermatozoon. Thus, it is obvious that analysis of flagellum characteristics provides information on the original source of movement and orientation of the sperm cell and presents additional parameters that enrich the panoply of quantitative descriptors of sperm motility. In this review, we briefly describe the methodologies used to obtain good-quality images of fish spermatozoa (head and especially flagellum) while they move fast and the methods developed for their analysis. The paper also aims to establish a link between classical analyses by computer-aided sperm analysis (CASA) and the descriptors generated by fish sperm flagellum analysis, and emphasises the information to be gained regarding motility performance from flagellum motion data.
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Van Der Does, F., T. Saito, M. Nagamine, N. Van Der Wee, J. Shigemura, T. Yamamoto, Y. Takahashi, et al. "Risk and Resilience in Trajectories of Post-Traumatic Stress Symptoms among First Responders after the 2011 Great East Japan Earthquake: a 7-year prospective cohort study." European Psychiatry 65, S1 (June 2022): S244. http://dx.doi.org/10.1192/j.eurpsy.2022.629.

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Introduction First responders to disasters are at risk of developing post-traumatic stress disorder (PTSD). The trajectories of post-traumatic stress symptom severity differ among individuals, even if they are exposed to similar events. These trajectories have not yet been reported in non-Western first responders. Objectives We aimed to explore post-traumatic stress symptom severity trajectories and their risk factors in first responders to the 2011 Great East Japan Earthquake (GEJE)— a historically large earthquake that resulted in a tsunami and a nuclear disaster. Methods 56 388 Japan Ground Self-Defense Force (JGSDF) personnel dispatched to the GEJE were enrolled in this seven-year longitudinal cohort study. PTSD symptom severity was measured using the Impact of Event Scale-Revised (IES-R). Trajectories were identified using latent growth mixture models (LGMM). Nine potential risk factors for the symptom severity trajectories were analyzed using multinomial logistic regression. Results Five symptom severity trajectories were identified: “resilient” (54.7%), “recovery” (24.5%), “incomplete recovery” (10.7%), “late-onset” (5.7%), and “chronic” (4.3%). The main risk factors for the four non-resilient trajectories were older age, personal disaster experiences, and working conditions. These working conditions included duties involving body recovery or radiation exposure risk, longer deployment length, later or no post-deployment leave, and longer post-deployment overtime. Conclusions The majority of first responders to GEJE were resilient and developed few or no PTSD symptoms. A substantial minority experienced late-onset and chronic symptom severity trajectories. The identified risk factors can inform policies for prevention, early detection, and intervention in individuals at risk of developing symptomatic trajectories. Disclosure No significant relationships.
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Hidalgo, Franco, and Thomas Bräunl. "Evaluation of Several Feature Detectors/Extractors on Underwater Images towards vSLAM." Sensors 20, no. 15 (August 4, 2020): 4343. http://dx.doi.org/10.3390/s20154343.

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Modern visual SLAM (vSLAM) algorithms take advantage of computer vision developments in image processing and in interest point detectors to create maps and trajectories from camera images. Different feature detectors and extractors have been evaluated for this purpose in air and ground environments, but not extensively for underwater scenarios. In this paper (I) we characterize underwater images where light and suspended particles alter considerably the images captured, (II) evaluate the performance of common interest points detectors and descriptors in a variety of underwater scenes and conditions towards vSLAM in terms of the number of features matched in subsequent video frames, the precision of the descriptors and the processing time. This research justifies the usage of feature detectors in vSLAM for underwater scenarios and present its challenges and limitations.
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Li, Xiaoqiang, Dan Wang, and Yin Zhang. "Representation for Action Recognition Using Trajectory-Based Low-Level Local Feature and Mid-Level Motion Feature." Applied Computational Intelligence and Soft Computing 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/4019213.

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The dense trajectories and low-level local features are widely used in action recognition recently. However, most of these methods ignore the motion part of action which is the key factor to distinguish the different human action. This paper proposes a new two-layer model of representation for action recognition by describing the video with low-level features and mid-level motion part model. Firstly, we encode the compensated flow (w-flow) trajectory-based local features with Fisher Vector (FV) to retain the low-level characteristic of motion. Then, the motion parts are extracted by clustering the similar trajectories with spatiotemporal distance between trajectories. Finally the representation for action video is the concatenation of low-level descriptors encoding vector and motion part encoding vector. It is used as input to the LibSVM for action recognition. The experiment results demonstrate the improvements on J-HMDB and YouTube datasets, which obtain 67.4% and 87.6%, respectively.
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Hunter, Eric J., and Ingo R. Titze. "Quantifying Vocal Fatigue Recovery: Dynamic Vocal Recovery Trajectories after a Vocal Loading Exercise." Annals of Otology, Rhinology & Laryngology 118, no. 6 (June 2009): 449–60. http://dx.doi.org/10.1177/000348940911800608.

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Sommer, H. J. "Determination of First and Second Order Instant Screw Parameters from Landmark Trajectories." Journal of Mechanical Design 114, no. 2 (June 1, 1992): 274–82. http://dx.doi.org/10.1115/1.2916943.

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Least squares methods were developed to determine instant screw axis (ISA) and angular acceleration axis (AAA) parameters in experimental and analytical studies. The algorithms provide linear relationships for rigid body velocity and acceleration descriptors based on position, velocity, and acceleration data for individual points on the body. Weighted least squares estimators are presented for statistical weighting on individual landmarks as well as for variance weighting to reduce systematic measurement effects. The methods include instantaneous second order screw motion which describes differential geometry of screw axodes. Two spatial mechanism examples provide recommendations for landmark count, distribution, and placement.
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Tsai, Ming-Fen, Shiow-Luan Tsay, Debra Moser, Tsuey-Yuan Huang, and Feng-Chun Tsai. "Examining symptom trajectories that predict worse outcomes in post-CABG patients." European Journal of Cardiovascular Nursing 18, no. 3 (October 31, 2018): 204–14. http://dx.doi.org/10.1177/1474515118809906.

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Background: Coronary artery bypass grafting is one of the most common interventional revascularisation procedures used to treat coronary artery disease worldwide. With a wide variability in postoperative cardiac symptoms, identification of symptom trajectories during the 3-month postoperative recovery period may improve clinicians’ abilities to support symptom recovery. Aims: To identify distinct trajectories of cardiac symptoms seen over time in a cohort of patients during the 3-month post-coronary artery bypass grafting period, and determine clinical characteristics associated with different symptom trajectories postoperatively. Methods: A prospective trial used the cardiac symptom survey to determine patient symptoms at baseline prior to surgery, and at 1 week, 6 weeks and 3 months following coronary artery bypass grafting. A latent class growth model and multivariate logistic regression analyses were used. Results: Data were obtained from patients ( N=198) undergoing coronary artery bypass grafting in six medical centres of Taiwan, through patient medical records and interviews. Based on their frequency, trajectories were explored for the six most common postoperative symptoms including angina, dyspnoea, fatigue, depression, sleep problems and anxiety. We identified two to three distinct classes of trajectories for each symptom. Age, longer intensive care unit stay, fewer vessels bypassed, off-pump coronary artery bypass grafting, smoking history and lack of regular exercise were associated with worse symptom outcome trends over time. Conclusions: Using this unique trajectories-based research method, we are able to achieve a better understanding of symptom recovery patterns over time among coronary artery bypass grafting patients. Recognising risk factors and potential recovery patterns prior to surgery may allow healthcare providers to deliver targeted discharge planning and individualised care after coronary artery bypass grafting.
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Hawkins, Rebecca J., Adam Jowett, Mary Godfrey, Kirste Mellish, John Young, Amanda Farrin, Ivana Holloway, Jenny Hewison, and Anne Forster. "Poststroke Trajectories: The Process of Recovery Over the Longer Term Following Stroke." Global Qualitative Nursing Research 4 (January 1, 2017): 233339361773020. http://dx.doi.org/10.1177/2333393617730209.

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We adopted a grounded theory approach to explore the process of recovery experienced by stroke survivors over the longer term who were living in the community in the United Kingdom, and the interacting factors that are understood to have shaped their recovery trajectories. We used a combination of qualitative methods. From the accounts of 22 purposively sampled stroke survivors, four different recovery trajectories were evident: (a) meaningful recovery, (b) cycles of recovery and decline, (c) ongoing disruption, (d) gradual, ongoing decline. Building on the concept of the illness trajectory, our findings demonstrate how multiple, interacting factors shape the process and meaning of recovery over time. Such factors included conception of recovery and meanings given to the changing self, the meanings and consequences of health and illness experiences across the life course, loss, sense of agency, and enacting relationships. Awareness of the process of recovery will help professionals better support stroke survivors.
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Balibrea-Iniesta, Francisco, Carlos Lopesino, Stephen Wiggins, and Ana M. Mancho. "Lagrangian Descriptors for Stochastic Differential Equations: A Tool for Revealing the Phase Portrait of Stochastic Dynamical Systems." International Journal of Bifurcation and Chaos 26, no. 13 (December 15, 2016): 1630036. http://dx.doi.org/10.1142/s0218127416300366.

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In this paper, we introduce a new technique for depicting the phase portrait of stochastic differential equations. Following previous work for deterministic systems, we represent the phase space by means of a generalization of the method of Lagrangian descriptors to stochastic differential equations. Analogously to the deterministic differential equations setting, the Lagrangian descriptors graphically provide the distinguished trajectories and hyperbolic structures arising within the stochastic dynamics, such as random fixed points and their stable and unstable manifolds. We analyze the sense in which structures form barriers to transport in stochastic systems. We apply the method to several benchmark examples where the deterministic phase space structures are well-understood. In particular, we apply our method to the noisy saddle, the stochastically forced Duffing equation, and the stochastic double gyre model that is a benchmark for analyzing fluid transport.
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36

Kibler, Christopher L., Anne-Marie L. Parkinson, Seth H. Peterson, Dar A. Roberts, Carla M. D’Antonio, Susan K. Meerdink, and Stuart H. Sweeney. "Monitoring Post-Fire Recovery of Chaparral and Conifer Species Using Field Surveys and Landsat Time Series." Remote Sensing 11, no. 24 (December 11, 2019): 2963. http://dx.doi.org/10.3390/rs11242963.

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Recovery trajectories derived from remote sensing data are widely used to monitor ecosystem recovery after disturbance events, but these trajectories are often retrieved without a precise understanding of the land cover within a scene. As a result, the sources of variability in post-disturbance recovery trajectories are poorly understood. In this study, we monitored the recovery of chaparral and conifer species following the 2007 Zaca Fire, which burned 97,270 ha in Santa Barbara County, California. We combined field survey data with two time series remote sensing products: the relative delta normalized burn ratio (RdNBR) and green vegetation (GV) fractions derived from spectral mixture analysis. Recovery trajectories were retrieved for stands dominated by six different chaparral species. We also retrieved recovery trajectories for stands of mixed conifer forest. We found that the two remote sensing products were equally effective at mapping vegetation cover across the burn scar. The GV fractions (r(78) = 0.552, p < 0.001) and normalized burn ratio (r(78) = 0.555, p < 0.001) had nearly identical correlations with ground reference data of green vegetation cover. Recovery of the chaparral species was substantially affected by the 2011–2017 California drought. GV fractions for the chaparral species generally declined between 2011 and 2016. Physiological responses to fire and drought were important sources of variability between the species. The conifer stands did not exhibit a drought signal that was directly correlated with annual precipitation, but the drought likely delayed the return to pre-fire conditions. As of 2018, 545 of the 756 conifer stands had not recovered to their pre-fire GV fractions. Spatial and temporal variation in species composition were important sources of spectral variability in the chaparral and conifer stands. The chaparral stands in particular had highly heterogeneous species composition. Dominant species accounted for between 30% and 53% of the land cover in the surveyed chaparral patches, so non-dominant land cover types strongly influenced remote sensing signals. Our study reveals that prolonged drought can delay or alter the post-fire recovery of Mediterranean ecosystems. It is also the first study to critically examine how fine-scale variability in land cover affects time series remote sensing analyses.
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Truss, Katie, Stephen J. C. Hearps, Franz E. Babl, Michael Takagi, Gavin A. Davis, Cathriona Clarke, Nicholas Anderson, et al. "Trajectories and Risk Factors for Pediatric Postconcussive Symptom Recovery." Neurosurgery 89, Supplement_2 (November 18, 2021): S60. http://dx.doi.org/10.1093/neuros/nyaa310_s060.

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38

Wall, C., L. I. Oddsson, N. Patronik, K. Sienko, and E. Kentala. "Recovery trajectories of vestibulopathic subjects after perturbations during locomotion." Journal of Vestibular Research 12, no. 5-6 (August 1, 2003): 239–53. http://dx.doi.org/10.3233/ves-2003-125-605.

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We compared the mediolateral (M/L) responses to perturbations during locomotion of vestibulopathic (VP) subjects to those of controls. Eight subjects with unilateral vestibular loss (100% Reduced Vestibular Response from the caloric test) resulting from surgery for vestibular schwannoma and 11 controls were selected for this study. Despite their known vestibulopathy, all VP subjects scored within the normal range on computerized dynamic posturography Sensory Organization Tests. During gait, subjects were given surface perturbations of the right support-phase foot in two possible directions (forward-right and backward-left) at two possible magnitudes (5 and 10 cm) that were randomly mixed with trials having no perturbations. M/L stability was quantified by estimating the length of the M/L moment arm between the support foot and the trunk, and the M/L accelerations of the sternum and the head. The VP group had greater changes (p < 0.05) in their moment arm responses compared to controls. The number of steps that it took for the moment arm oscillations to return to normal and the variability in the moment arms were greater for the VP group. Differences in the sternum and head accelerations between VP and control groups were not as consistent, but there was a trend toward greater response deviations in the VP group for all 4 perturbation types. Increased response magnitude and variability of the VP group is consistent with an increase in their sensory noise of vestibular inputs due to the surgical lesion. Another possibility is a reduced sensitivity to motion inputs. This perturbation approach may prove useful for characterizing subtle vestibulopathies and similar changes in the human orientation mechanism after exposure to microgravity.
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Abraham, D., D. L. Orwig, M. Hochberg, and J. S. Magaziner. "SEX DIFFERENCES IN RECOVERY TRAJECTORIES AMONG HIP FRACTURE PATIENTS." Innovation in Aging 1, suppl_1 (June 30, 2017): 617. http://dx.doi.org/10.1093/geroni/igx004.2168.

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40

Losina, E., J. Collins, V. Lerner, W. M. Reichmann, J. Wright, R. Ghazinouri, L. Donnell-Fink, and J. N. Katz. "Trajectories of functional recovery post TKR: does BMI matter?" Osteoarthritis and Cartilage 20 (April 2012): S158—S159. http://dx.doi.org/10.1016/j.joca.2012.02.234.

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41

Torgalsbøen, Anne-Kari, Susie Fu, and Nikolai Czajkowski. "Resilience trajectories to full recovery in first-episode schizophrenia." European Psychiatry 52 (August 2018): 54–60. http://dx.doi.org/10.1016/j.eurpsy.2018.04.007.

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AbstractBackground:Resilience is successful adaptation despite adversity. This personality trait has the potential to add new knowledge to how to achieve a successful outcome, but resilience has been understudied in schizophrenia. The objective of the present study is to investigate if there are significant differences in resilience development among fully recovered and non-recovered patients with first episode schizophrenia (FES).Methods:In the ongoing Oslo Schizophrenia Recovery Study spanning 10 years, 28 first-episode patients are interviewed and assessed yearly with comprehensive criteria of full recovery, a measure of social and role functioning and resilience, the Connor-Davidson Resilience Scale. The present study includes data from six follow-ups over four years. Working or studying, having symptoms that are stably mild or absent for two years or more, having contact with friends and/or dating, participating in leisure activities and living independently define full recovery.Results:At the four-year follow-up, 55% were sustained full/partly recovered. Ten percent of those fully recovered were no longer in treatment. Choosing the overall best linear mixed model, we found a significantly larger increase in resilience score among the fully recovered than among those not recovered.Conclusions:Based on the theoretical rationale that resilience is activated differently in persons who experience adversity, the significant increase in resilience in the fully recovered group indicates that this psychological trait is present to a higher degree in fully recovered. These results highlight resilience as a factor associated with increased recovery in FES adding to the small literature on improvement among these patients and thus have important clinical implications.
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O’Connor, Kathryn L., C. Dain Allred, Kenneth L. Cameron, Darren E. Campbell, Christopher J. D’Lauro, Megan N. Houston, Jonathan Jackson, et al. "Concussion recovery trajectories among United States Service Academy Members." Medicine & Science in Sports & Exercise 50, no. 5S (May 2018): 228–29. http://dx.doi.org/10.1249/01.mss.0000535839.91705.70.

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43

Parker, Gordon. "On lightening up: improvement trajectories in recovery from depression." Advances in Psychiatric Treatment 2, no. 5 (September 1996): 186–93. http://dx.doi.org/10.1192/apt.2.5.186.

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This article is an extended consideration of a recent editorial (Parker, 1996), and seeks to argue the importance of studying both onset and trajectories of improvement in those with depressive disorders.
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Rodgers, Cheryl, Marika Highberger, Kimberly Powers, Katherine Voigt, and Christian Douglas. "Symptom Trajectories of Adolescents During Hematopoietic Stem Cell Recovery." Cancer Nursing 42, no. 6 (2019): 468–74. http://dx.doi.org/10.1097/ncc.0000000000000643.

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45

Akresh, Ilana Redstone. "Occupational Trajectories of Legal US Immigrants: Downgrading and Recovery." Population and Development Review 34, no. 3 (September 2008): 435–56. http://dx.doi.org/10.1111/j.1728-4457.2008.00231.x.

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46

Franko, Orrin I. "Postoperative Recovery Trajectories Generated From a Hand Surgery Registry." Journal of Hand Surgery 43, no. 9 (September 2018): S37—S38. http://dx.doi.org/10.1016/j.jhsa.2018.06.082.

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47

Brewer, Thomas L., Bonnie L. Metzger, and Barbara Therrien. "Trajectories of cognitive recovery following a minor brain injury." Research in Nursing & Health 25, no. 4 (July 15, 2002): 269–81. http://dx.doi.org/10.1002/nur.10045.

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48

Nayebpour, M., M. Talajic, and S. Nattel. "Quantitation of dynamic AV nodal properties and application to predict rate-dependent AV conduction." American Journal of Physiology-Heart and Circulatory Physiology 261, no. 2 (August 1, 1991): H292—H300. http://dx.doi.org/10.1152/ajpheart.1991.261.2.h292.

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A number of functional properties of the atrioventricular (AV) node have been described in response to changes in the atrial input rate. The purpose of this study was 1) to develop quantitative descriptors of these properties, and 2) to determine whether they can account for rate-dependent changes in AV nodal conduction. The delay in AV nodal conduction of single premature beats (recovery) was found to be an exponential function of coupling interval with a time constant of 66 +/- 2 (+/- SE) ms. A single abbreviated (facilitation) cycle did not alter the time constant of recovery or basal conduction for a subsequent beat but shifted its recovery curve to the left to an extent exponentially related to the facilitation cycle length. The induction of a tachycardia with HA interval fixed so as to control the recovery and facilitation variables resulted in a first-order onset of AV conduction slowing (fatigue). The fatigue process had a time constant in the range of 70 beats and a magnitude that was a decaying exponential function of HA interval. An equation incorporating quantitative descriptors of recovery, facilitation, and fatigue accurately predicted rate-dependent changes in AH interval. We conclude that 1) the AV nodal properties of recovery, facilitation, and fatigue are amenable to quantitative characterization, and 2) rate-dependent changes in AV nodal conduction time can be well described in terms of these underlying properties.
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49

Ben-Ezra, Menachem, Yaira Hamama-Raz, Robin Goodwin, Elazar Leshem, and Yafit Levin. "Association between mental health trajectories and somatic symptoms following a second lockdown in Israel: a longitudinal study." BMJ Open 11, no. 9 (September 2021): e050480. http://dx.doi.org/10.1136/bmjopen-2021-050480.

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Objectives To identify mental health prospective trajectories before and after a second lockdown during the COVID-19 pandemic and their associations with somatic symptoms. Design Prospective Study. Setting Population-based study drawn from a probability-based internet panel of over 100 000 Israelis. Participants Adults aged 18 years or more, representative of the adult Israeli population. The participants were measured at two time points (time 1 (T1) pre-second lockdown N=1029; response rate=76.17%; time 2 (T2) post-second lockdown N=764; response rate=74.24%). Main outcome measures Trajectories of anxiety and adjustment disorder based on clinical cut-off score for probable diagnoses across T1-T2, somatic symptoms at T2. The four trajectories: stable-low, (no probable diagnosis), stable-high (stable probable diagnosis), exacerbation (no probable diagnosis at T1, probable diagnosis at T2), recovery (probable diagnosis at T1, no probable diagnosis at T2). Results Three anxiety trajectories predicted probable somatic symptoms (stable-high OR=6.451; exacerbation OR=5.379; recovery OR=2.025) compared with the stable-low trajectory. The three adjustment disorder trajectories also predicted somatic symptoms (stable-high OR=4.726; exacerbation OR=6.419; recovery OR=4.666) compared with the stable-low trajectory. Conclusions Our data show elevated somatic symptoms among those whose mental health trajectories were poor, exacerbated and those who recovered following the second lockdown. The presentation of somatic symptoms may mask psychological vulnerabilities, even among those who appear to have recovered from the stressor. This indicates that lockdown may be a double-edged sword and should be carefully administered given these populations vulnerabilities.
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Saito, Tomohito, Anna Hamakawa, Hideto Takahashi, Yukari Muto, Miku Mouri, Makie Nakashima, Natsumi Maru, et al. "Symptom severity trajectories and distresses in patients undergoing video-assisted thoracoscopic lung resection from surgery to the first post-discharge clinic visit." PLOS ONE 18, no. 2 (February 22, 2023): e0281998. http://dx.doi.org/10.1371/journal.pone.0281998.

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This study aimed to characterize patients’ symptom severity trajectories and distresses from video-assisted thoracoscopic lung resection to the first post-discharge clinic visit. Seventy-five patients undergoing thoracoscopic lung resection for diagnosed or suspected pulmonary malignancy prospectively recorded daily symptom severity on a 0–10 numeric scale using the MD Anderson Symptom Inventory until the first post-discharge clinic visit. The causes of postoperative distresses were surveyed, and symptom severity trajectories were analyzed using joinpoint regression. A rebound was defined as a statistically significant positive slope after a statistically significant negative slope. Symptom recovery was defined as symptom severity of ≤3 in two contiguous measurements. The accuracy of pain severity on days 1–5 for predicting pain recovery was determined using area under the receiver operating characteristic curves. We applied Cox proportional hazards models for multivariate analyses of the potential predictors of early pain recovery. The median age was 70 years, and females accounted for 48%. The median interval from surgery to the first post-discharge clinic visit was 20 days. Trajectories of several core symptoms including pain showed a rebound from day 3 or 4. Specifically, pain severity in patients with unrecovered pain had been higher than those with recovered pain since day 4. Pain severity on day 4 showed the highest area under the curve of 0.723 for predicting pain recovery (P = 0.001). Multivariate analysis identified pain severity of ≤1 on day 4 as an independent predictor of early pain recovery (hazard ratio, 2.86; P = 0.0027). Duration of symptom was the leading cause of postoperative distress. Several core symptoms after thoracoscopic lung resection showed a rebound in the trajectory. Specifically, a rebound in pain trajectory may be associated with unrecovered pain; pain severity on day 4 may predict early pain recovery. Further clarification of symptom severity trajectories is essential for patient-centered care.
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