Relevant bibliographies by topics / Spine modeling

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Spine modeling'

Author: Grafiati
Published: 3 June 2025
Last updated: 23 June 2025

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Journal articles on the topic "Spine modeling"

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Rosado, James, Viet Duc Bui, Carola A. Haas, Jürgen Beck, Gillian Queisser, and Andreas Vlachos. "Calcium modeling of spine apparatus-containing human dendritic spines demonstrates an “all-or-nothing” communication switch between the spine head and dendrite." PLOS Computational Biology 18, no. 4 (2022): e1010069. http://dx.doi.org/10.1371/journal.pcbi.1010069.

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Dendritic spines are highly dynamic neuronal compartments that control the synaptic transmission between neurons. Spines form ultrastructural units, coupling synaptic contact sites to the dendritic shaft and often harbor a spine apparatus organelle, composed of smooth endoplasmic reticulum, which is responsible for calcium sequestration and release into the spine head and neck. The spine apparatus has recently been linked to synaptic plasticity in adult human cortical neurons. While the morphological heterogeneity of spines and their intracellular organization has been extensively demonstrated in animal models, the influence of spine apparatus organelles on critical signaling pathways, such as calcium-mediated dynamics, is less well known in human dendritic spines. In this study we used serial transmission electron microscopy to anatomically reconstruct nine human cortical spines in detail as a basis for modeling and simulation of the calcium dynamics between spine and dendrite. The anatomical study of reconstructed human dendritic spines revealed that the size of the postsynaptic density correlates with spine head volume and that the spine apparatus volume is proportional to the spine volume. Using a newly developed simulation pipeline, we have linked these findings to spine-to-dendrite calcium communication. While the absence of a spine apparatus, or the presence of a purely passive spine apparatus did not enable any of the reconstructed spines to relay a calcium signal to the dendritic shaft, the calcium-induced calcium release from this intracellular organelle allowed for finely tuned “all-or-nothing” spine-to-dendrite calcium coupling; controlled by spine morphology, neck plasticity, and ryanodine receptors. Our results suggest that spine apparatus organelles are strategically positioned in the neck of human dendritic spines and demonstrate their potential relevance to the maintenance and regulation of spine-to-dendrite calcium communication.
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Rosado, James, Viet Duc Bui, Carola A. Haas, Jürgen Beck, Gillian Queisser, and Andreas Vlachos. "Calcium modeling of spine apparatus-containing human dendritic spines demonstrates an “all-or-nothing” communication switch between the spine head and dendrite." PLOS Computational Biology 18, no. 4 (2022): e1010069. http://dx.doi.org/10.1371/journal.pcbi.1010069.

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Dendritic spines are highly dynamic neuronal compartments that control the synaptic transmission between neurons. Spines form ultrastructural units, coupling synaptic contact sites to the dendritic shaft and often harbor a spine apparatus organelle, composed of smooth endoplasmic reticulum, which is responsible for calcium sequestration and release into the spine head and neck. The spine apparatus has recently been linked to synaptic plasticity in adult human cortical neurons. While the morphological heterogeneity of spines and their intracellular organization has been extensively demonstrated in animal models, the influence of spine apparatus organelles on critical signaling pathways, such as calcium-mediated dynamics, is less well known in human dendritic spines. In this study we used serial transmission electron microscopy to anatomically reconstruct nine human cortical spines in detail as a basis for modeling and simulation of the calcium dynamics between spine and dendrite. The anatomical study of reconstructed human dendritic spines revealed that the size of the postsynaptic density correlates with spine head volume and that the spine apparatus volume is proportional to the spine volume. Using a newly developed simulation pipeline, we have linked these findings to spine-to-dendrite calcium communication. While the absence of a spine apparatus, or the presence of a purely passive spine apparatus did not enable any of the reconstructed spines to relay a calcium signal to the dendritic shaft, the calcium-induced calcium release from this intracellular organelle allowed for finely tuned “all-or-nothing” spine-to-dendrite calcium coupling; controlled by spine morphology, neck plasticity, and ryanodine receptors. Our results suggest that spine apparatus organelles are strategically positioned in the neck of human dendritic spines and demonstrate their potential relevance to the maintenance and regulation of spine-to-dendrite calcium communication.
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Wang, Shiquan, Hao Jiang, and Mark R. Cutkosky. "Design and modeling of linearly-constrained compliant spines for human-scale locomotion on rocky surfaces." International Journal of Robotics Research 36, no. 9 (2017): 985–99. http://dx.doi.org/10.1177/0278364917720019.

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We present a new spine solution for the locomotion of human-scale robots on steep, rocky surfaces, known as linearly-constrained spines. The spine stiffness is low in the normal direction but high with respect to lateral and bending loads. The solution differs from previous spine arrays used for small robots in having a much higher spine density and less spine scraping over asperities. We present theoretical and empirical results to demonstrate that this solution is capable of shear stresses of over 200kPa, enabling human-scale robots to apply forces parallel to steep rock surfaces for climbing, bracing, etc. The analysis includes the effects of spine geometry, stiffness, backlash and three-dimensional loading angle to predict the overall forces possible in three dimensions of both single and opposed configurations of spine arrays. Demonstrated applications include a gripper for a “smart staff” aimed at helping humanoid robots to negotiate steep terrain and a palm that provides over 700N in shear for the RoboSimian quadruped.
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Jiang, Lei, Zhongqi Xu, Tinglong Zheng, Xiuli Zhang, and Jianhua Yang. "Research on Dynamic Modeling Method and Flying Gait Characteristics of Quadruped Robots with Flexible Spines." Biomimetics 9, no. 3 (2024): 132. http://dx.doi.org/10.3390/biomimetics9030132.

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In recent years, both domestic and international research on quadruped robots has advanced towards high dynamics and agility, with a focus on high-speed locomotion as a representative motion in high-dynamic activities. Quadruped animals like cheetahs exhibit high-speed running capabilities, attributed to the indispensable role played by their flexible spines during the flight phase motion. This paper establishes dynamic models of flexible spinal quadruped robots with different degrees of simplification, providing a parameterized description of the flight phase motion for both rigid-trunk and flexible-spine quadruped robots. By setting different initial values for the spine joint and calculating the flight phase results for both types of robots at various initial velocities, the study compares and analyzes the impact of a flexible spine on the flight phase motion of quadruped robots. Through comparative experiments, the research aims to validate the influence of a flexible spine during the flight phase motion, providing insights into how spine flexibility affects the flight phase motion of quadruped robots.
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Pchitskaya, Ekaterina, Anastasiya Rakovskaya, Margarita Chigray, and Ilya Bezprozvanny. "Cytoskeleton Protein EB3 Contributes to Dendritic Spines Enlargement and Enhances Their Resilience to Toxic Effects of Beta-Amyloid." International Journal of Molecular Sciences 23, no. 4 (2022): 2274. http://dx.doi.org/10.3390/ijms23042274.

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EB3 protein is expressed abundantly in the nervous system and transiently enters the dendritic spines at the tip of the growing microtubule, which leads to spine enlargement. Nevertheless, the role of dynamic microtubules, and particularly EB3 protein, in synapse function is still elusive. By manipulating the EB3 expression level, we have shown that this protein is required for a normal dendritogenesis. Nonetheless, EB3 overexpression also reduces hippocampal neurons dendritic branching and total dendritic length. This effect likely occurs due to the speeding neuronal development cycle from dendrite outgrowth to the step when dendritic spines are forming. Implementing direct morphometric characterization of dendritic spines, we showed that EB3 overexpression leads to a dramatic increase in the dendritic spine head area. EB3 knockout oppositely reduces spine head area and increases spine neck length and spine neck/spine length ratio. The same effect is observed in conditions of amyloid-beta toxicity, modeling Alzheimer`s disease. Neck elongation is supposed to be a common detrimental effect on the spine’s shape, which makes them biochemically and electrically less connected to the dendrite. EB3 also potentiates the formation of presynaptic protein Synapsin clusters and CaMKII-alpha preferential localization in spines rather than in dendrites of hippocampal neurons, while its downregulation has an opposite effect and reduces the size of presynaptic protein clusters Synapsin and PSD95. EB3′s role in spine development and maturation determines its neuroprotective effect. EB3 overexpression makes dendritic spines resilient to amyloid-beta toxicity, restores altered PSD95 clustering, and reduces CaMKII-alpha localization in spines observed in this pathological state.
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Malik, Azeem Tariq, and Safdar N. Khan. "Predictive modeling in spine surgery." Annals of Translational Medicine 7, S5 (2019): S173. http://dx.doi.org/10.21037/atm.2019.07.99.

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Pai S, Anoosha, Honglin Zhang, Nima Ashjaee, et al. "Estimation and assessment of sagittal spinal curvature and thoracic muscle morphometry in different postures." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 235, no. 8 (2021): 883–96. http://dx.doi.org/10.1177/09544119211014668.

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Spine models are typically developed from supine clinical imaging data, and hence clearly do not fully reflect postures that replicate subjects’ clinical symptoms. Our objectives were to develop a method to: (i) estimate the subject-specific sagittal curvature of the whole spine in different postures from limited imaging data, (ii) obtain muscle lines-of-action in different postures and analyze the effect of posture on muscle fascicle length, and (iii) correct for cosine between the magnetic resonance imaging (MRI) scan plane and dominant fiber line-of-action for muscle parameters (cross-sectional area (CSA) and position). The thoracic spines of six healthy volunteers were scanned in four postures (supine, standing, flexion, and sitting) in an upright MRI. Geometry of the sagittal spine was approximated with a circular spline. A pipeline was developed to estimate spine geometry in different postures and was validated. The lines-of-action for two muscles, erector spinae (ES) and transversospinalis (TS) were obtained for every posture and hence muscle fascicle lengths were computed. A correction factor based on published literature was then computed and applied to the muscle parameters. The maximum registration error between the estimated spine geometry and MRI data was small (average RMSE∼1.2%). The muscle fascicle length increased (up to 20%) in flexion when compared to erect postures. The correction factor reduced muscle parameters (∼5% for ES and ∼25% for TS) when compared to raw MRI data. The proposed pipeline is a preliminary step in subject-specific modeling. Direction cosines of muscles could be used while improving the inputs of spine models.
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Bell, Miriam, Tom Bartol, Terrence Sejnowski, and Padmini Rangamani. "Dendritic spine geometry and spine apparatus organization govern the spatiotemporal dynamics of calcium." Journal of General Physiology 151, no. 8 (2019): 1017–34. http://dx.doi.org/10.1085/jgp.201812261.

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Dendritic spines are small subcompartments that protrude from the dendrites of neurons and are important for signaling activity and synaptic communication. These subcompartments have been characterized to have different shapes. While it is known that these shapes are associated with spine function, the specific nature of these shape–function relationships is not well understood. In this work, we systematically investigated the relationship between the shape and size of both the spine head and spine apparatus, a specialized endoplasmic reticulum compartment within the spine head, in modulating rapid calcium dynamics using mathematical modeling. We developed a spatial multicompartment reaction–diffusion model of calcium dynamics in three dimensions with various flux sources, including N-methyl-D-aspartate receptors (NMDARs), voltage-sensitive calcium channels (VSCCs), and different ion pumps on the plasma membrane. Using this model, we make several important predictions. First, the volume to surface area ratio of the spine regulates calcium dynamics. Second, membrane fluxes impact calcium dynamics temporally and spatially in a nonlinear fashion. Finally, the spine apparatus can act as a physical buffer for calcium by acting as a sink and rescaling the calcium concentration. These predictions set the stage for future experimental investigations of calcium dynamics in dendritic spines.
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Rangamani, Padmini, Michael G. Levy, Shahid Khan, and George Oster. "Paradoxical signaling regulates structural plasticity in dendritic spines." Proceedings of the National Academy of Sciences 113, no. 36 (2016): E5298—E5307. http://dx.doi.org/10.1073/pnas.1610391113.

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Transient spine enlargement (3- to 5-min timescale) is an important event associated with the structural plasticity of dendritic spines. Many of the molecular mechanisms associated with transient spine enlargement have been identified experimentally. Here, we use a systems biology approach to construct a mathematical model of biochemical signaling and actin-mediated transient spine expansion in response to calcium influx caused by NMDA receptor activation. We have identified that a key feature of this signaling network is the paradoxical signaling loop. Paradoxical components act bifunctionally in signaling networks, and their role is to control both the activation and the inhibition of a desired response function (protein activity or spine volume). Using ordinary differential equation (ODE)-based modeling, we show that the dynamics of different regulators of transient spine expansion, including calmodulin-dependent protein kinase II (CaMKII), RhoA, and Cdc42, and the spine volume can be described using paradoxical signaling loops. Our model is able to capture the experimentally observed dynamics of transient spine volume. Furthermore, we show that actin remodeling events provide a robustness to spine volume dynamics. We also generate experimentally testable predictions about the role of different components and parameters of the network on spine dynamics.
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Kumaresan, Srirangam, Narayan Yoganandan, Frank A. Pintar, Dennis J. Maiman, and Shashi Kuppa. "Biomechanical Study of Pediatric Human Cervical Spine: A Finite Element Approach." Journal of Biomechanical Engineering 122, no. 1 (1999): 60–71. http://dx.doi.org/10.1115/1.429628.

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Although considerable effort has been made to understand the biomechanical behavior of the adult cervical spine, relatively little information is available on the response of the pediatric cervical spine to external forces. Since significant anatomical differences exist between the adult and pediatric cervical spines, distinct biomechanical responses are expected. The present study quantified the biomechanical responses of human pediatric spines by incorporating their unique developmental anatomical features. One-, three-, and six-year-old cervical spines were simulated using the finite element modeling technique, and their responses computed and compared with the adult spine response. The effects of pure overall structural scaling of the adult spine, local component developmental anatomy variations that occur to the actual pediatric spines, and structural scaling combined with local component anatomy variations on the responses of the pediatric spines were studied. Age- and component-related developmental anatomical features included variations in the ossification centers, cartilages, growth plates, vertebral centrum, facet joints, and annular fibers and nucleus pulposus of the intervertebral discs. The flexibility responses of the models were determined under pure compression, pure flexion, pure extension, and varying degrees of combined compression–flexion and compression–extension. The pediatric spine responses obtained with the pure overall (only geometric) scaling of the adult spine indicated that the flexibilities consistently increase in a uniform manner from six- to one-year-old spines under all loading cases. In contrast, incorporation of local anatomic changes specific to the pediatric spines of the three age groups (maintaining the same adult size) not only resulted in considerable increases in flexibilities, but the responses also varied as a function of the age of the pediatric spine and type of external loading. When the geometric scaling effects were added to these spines, the increases in flexibilities were slightly higher; however, the pattern of the responses remained the same as found in the previous approach. These results indicate that inclusion of developmental anatomical changes characteristic of the pediatric spines has more of a predominant effect on biomechanical responses than extrapolating responses of the adult spine based on pure overall geometric scaling. [S0148-0731(00)00501-X]
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Dissertations / Theses on the topic "Spine modeling"

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VIEIRA, PEDRO SAMPAIO. "A SPINE 3D MODELING SYSTEM BASED ON X-RAY IMAGES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=14919@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>Nos dias atuais, pesquisas envolvendo a computação gráfica e a área médica, têm contribuído muito para a evolução tecnológica de exames e diagnósticos. Uma vertente desses trabalhos está relacionada diretamente à reconstrução 3D de estruturas anatômicas do corpo humano, em específico a coluna vertebral. O sedentarismo e a alta dependência dos computadores vêm aumentando e agravando os problemas posturais das pessoas. Por esse motivo, novas técnicas de reconstrução 3D baseada em exames de tomografia computadorizada (TC), ressonância magnética (RM) e raios-x são desenvolvidas, tornando as avaliações clínicas cada vez mais precisas. Neste trabalho é proposto um sistema de modelagem 3D baseado em radiografias digitais com a finalidade de recriar a coluna vertebral em um ambiente virtual. A recuperação das informações tridimensionais de cada vértebra ajuda a melhorar a avaliação feita atualmente com base apenas em imagens 2D. A técnica utilizada no desenvolvimento do método se baseia na estereoradiografia. E a utilização de radiografias, em relação à TC, reduz consideravelmente o tempo de exposição do paciente à radiação, além de ser mais acessível à população pelo seu menor custo. Os resultados obtidos apresentaram uma boa precisão do sistema. Além do mais, o método proposto atingiu resultados bem próximos aos de pesquisas baseadas em TC e RM, onde os dados de entrada são bem mais legíveis do que as imagens de raiosx.<br>Research involving computer graphics and laboratory exams has contributed much to the quality of the Medical diagnose. One aspect of these researches is directly related to 3D reconstruction of anatomical structures of the human body, especially the spine. The sedentary lifestyle and the high dependence of computers have increased the postural problems of the population. Therefore, new techniques for 3D reconstruction based on Computed tomography (CT), magnetic resonance imaging (MRI) and x-ray images are required, in order to make the clinical evaluation increasingly accurate. This work proposes a 3D modeling system based on x-ray images that yields a virtual spine model. The recovery of three-dimensional information of each vertebra helps improve the assessment currently made using only 2D images. The technique used here is based on stereo radiographic. The use of x-ray images instead of CT, significantly reduces the exposure time of the patient to radiation, and is more useful to the general population due to its lower cost. The results presented here show good accuracy despite its lower cost. The proposed method has achieved results very close to those based on expensive CT or MRI, where the input image is better than x-ray images.
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Mavor, Matthew. "The Effects of Protective Footwear on Spine Control and Lifting Mechanics." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37205.

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Low back pain (LBP) is a common condition that affects all age groups and sexes. Although the development of LBP is multifactorial, the performance of lifting-based manual material handling (MMH) tasks are recognized as a primary risk factor. Many occupations that involve MMH tasks are performed in hazardous environments, where personal protective equipment (PPE) must be worn. Among the most commonly prescribed forms of PPE in Canada are CSA Grade 1 steel-toed work boots. According to the hazards present on the jobsite, workers may need to wear steel-toed work boots with/without a metatarsal guard or be able to wear steel-toed shoes (no upper). However, the amount of research on the interaction between protective footwear and human motion is limited. Therefore, the purpose of this thesis was to assess the effects of steel-toed shoes (unlaced), steel-toed boots (work boot), and steel-toed boots with a metatarsal guard (MET) on lifting mechanics. Specifically, three-dimensional kinematics of the lower limbs and trunk, sagittal net reaction moments of the low back, and local dynamic stability (LDS) of the lower limbs, lower back, and upper back were analyzed. Twelve males and 12 females were recruited to participate in this research project. Participants performed a repetitive lifting task at 10% of their maximum back strength, under three block-randomized footwear conditions. Ankle dorsiflexion was negatively affected by footwear type, where dorsiflexion was reduced the most in the MET condition compared to the unlaced condition (p < 0.01). However, there were no other main effects of footwear type on any other variable tested, and both male and female participants were able to maintain similar lifting mechanics and LDS values when moving up the kinematic chain. It is possible that participants were able to preserve their kinematics and stability through the appropriate recruitment of muscles, which may have implications for an increase in compressive and shear force on the spine and should be explored further in the future.
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Campbell-Kyureghyan, Naira Helen. "Computational analysis of the time-dependent biomechanical behavior of the lumbar spine." Connect to this title online, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1095445065.

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Thesis (Ph. D.)--Ohio State University, 2004.<br>Title from first page of PDF file. Document formatted into pages; contains xix, 254 p.; also includes graphics. Includes bibliographical references (p. 234-254).
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Williams, Matthew James. "Segmentation in 3D virtual spine modeling for assistance in surgical planning and guidance." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0010401.

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Miller, Emily Michele. "Exercise-Induced Low Back Pain and Neuromuscular Control of the Spine - Experimentation and Simulation." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/37507.

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Low back pain (LBP) is associated with altered neuromuscular control of the trunk, as well as impaired performance during functional tasks highly dependent upon trunk neuromuscular control. Comparing measurements between individuals with and without LBP does not distinguish whether the LBP individual exhibits altered neuromuscular control only while experiencing LBP versus at all times. Additional insight was gained on the relationship between trunk neuromuscular control and LBP by investigating individuals who experience recurrent exercise-induced LBP (eiLBP). To differentiate the effects of LBP from individual differences, comparisons were made between episodes of pain and no pain within eiLBP individuals, and between eiLBP individuals while pain free and a group of healthy controls. Three studies were completed based on repeated measurements from both eiLBP and healthy individuals. Study 1 investigated effects of eiLBP on fundamental measures of neuromuscular control, including intrinsic trunk stiffness and the paraspinal reflex delay using a series of pseudo-random position perturbations. eiLBP individuals exhibited increased stiffness compared to healthy controls unaffected by the presence of pain, and increased reflex delays concurrent only with pain. Study 2 investigated effects of eiLBP on seated sway during a functional task involving maintaining balance. Seat and trunk kinematics were obtained while participants balanced on a wobble chair at two difficulty levels. eiLBP individuals exhibited impaired seat measures at all times, with altered trunk measures only while in pain and when the task was not challenging. Study 3 investigated effects of eiLBP on the underlying control of seated sway using a model of wobble chair balance. Quantified neuromuscular control indicated increases in proportional and noise gains for a challenging level compared to an easy level, more so for eiLBP individuals compared to controls and while experiencing pain compared to pain free. Overall, fundamental measures, seated sway measures, and identified control parameters using a model of wobble chair balance were all affected by the presence of pain within the eiLBP individuals and/or the eiLBP individuals compared to healthy controls. Therefore, this study shows that some characteristics appear to be inherent to the LBP individual, while others are only concurrent with pain.<br>Ph. D.
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Perez, Miguel A. "Empirical Evaluation of Models Used to Predict Torso Muscle Recruitment Patterns." Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/35381.

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For years, the human back has puzzled researchers with the complex behaviors it presents. Principally, the internal forces produced by back muscles have not been determined accurately. Two different approaches have historically been taken to predict muscle forces. The first relies on electromyography (EMG), while the second attempts to predict muscle responses using mathematical models. Three such predictive models are compared here. The models are Sum of Cubed Intensities, Artificial Neural Networks, and Distributed Moment Histogram. These three models were adapted to run using recently published descriptions of the lower back anatomy. To evaluate their effectiveness, the models were compared in terms of their fit to a muscle activation database including 14 different muscles. The database was collected as part of this experiment, and included 8 participants (4 male and 4 female) with similar height and weight. The participants resisted loads applied to their torso via a harness. Results showed the models performed poorly (average R2's in the 0.40's), indicating that further improvements are needed in our current low back muscle activation modeling techniques. Considerable discrepancies were found between internal moments (at L3/L4) determined empirically and measured with a force plate, indicating that the maximum muscle stress selected and/or the anatomy used were faulty. The activation pattern database collected also fills a gap in the literature by considering static loading patterns that had not been systematically varied before.<br>Master of Science
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Nguyen, Ho Quang. "Material-driven mesh derived from medical images for biomechanical system : application on modeling of the lumbar spine." Thesis, Compiègne, 2016. http://www.theses.fr/2016COMP2313.

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La lombalgie est un problème de santé commun qui touche une grande partie de la population des pays industrialisés. Au cours des années, la modélisation numérique a été largement étudiée pour étudier la biomécanique du rachis lombaire pour aider fortement les cliniciens dans le diagnostic et les traitements de cette pathologie. Ce travail présente une méthodologie pour la modélisation éléments finis spécifique au patient prenant en compte à la fois la géométrie individualisée et les propriétés des matériaux des structures biologiques. Dans cette étude, le maillage est piloté par des connaissances des matériaux personnalisées qui sont extraites de l'imagerie médicale avancée. En outre, un logiciel convivial comprenant du traitement d'images, des maillages « material-driven » et de l'affectation des propriétés des matériaux, nommé C3M pour le «Computed Material-driven Mesh Model», a été développé pour générer efficacement des modèles FE spécifiques aux sujets à partir d'images médicales. Ce procédé est appliqué pour générer un modèle FE spécifique au patient du rachis lombaire à partir d'images issues par Résonance Magnétique (IRM) ou par tomodensitométrie 3D (CT). Cette approche ouvre une nouvelle perspective pour améliorer le processus de maillage à l'aide de connaissances du matériel dérivées d'images médicales. Le modèle proposé permet un assemblage précis et simple de vertèbres et des disques intervertébraux en tenant en compte à la fois la géométrie et les propriétés mécaniques des matériaux reflétant la spécificité du patient<br>Low back pain is a common health problem which impacts a large part of the population in industrialized countries. Over the years, numerical modeling has been widely studied to investigate the biomechanics of lumbar spine for strongly assisting clinicians in diagnosis and treatments of this spinal pathology. In recent years, there has been a growing interest in researching and developing patient specific computer modeling which has proven its ability to provide great promises for developing realistic model of individual subject. However, still the specificity of these models is not fully described or is often limited to patient geometry. In fact, few models consider appropriate material properties derived from tissue characterization obtained from medical images. Furthermore, patient specific models can be obtained with geometry and mechanical properties derived from CT, but few from MRI which is well-suited for examining soft tissues. Therefore, development of the high-fidelity, patient-specific finite element model of the lumbar spine still presents the challenge. In this context of patient-specific finite element modeling, mesh generation is a crucial issue which requires an accurate representation of the geometry with well-shaped and sized elements and a relevant distribution of materials. This work presents a methodology for patient-specific finite element modeling which takes both individualized geometry and material properties of biological structures into consideration. In this study, the mesh is driven by personalized material knowledge which is extracted from advanced medical imaging. Additionally, a user-friendly program including image processing, material-driven meshing and material properties assignment, named C3M for “Computed Material-driven Mesh Model”, has been developed to generate efficiently subject-specific FE models derived from medical images. This process is applied to generate a patient specific FE model of lumbar spine based on both MRI and CT images. This approach opens a new direction to improve the meshing process using material knowledge derived from medical images. The proposed model allows an accurate and straightforward assembly of vertebrae and IVDs considering both geometry and material properties reflecting patient-specificity
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Toosizadeh, Nima. "Time-dependent assessment of the human lumbar spine in response to flexion exposures: in vivo measurement and modeling." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/19274.

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Among several work-related injuries, low back disorders (LBDs) are the leading cause of lost workdays, and with annual treatment costs in excess of $10 billion in the US. Epidemiological evidence has indicated that prolonged and/or repetitive non-neutral postures, such as trunk flexion, are commonly associated with an increased risk of LBDs. Trunk flexion can result in viscoelastic deformations of soft tissues and subsequent mechanical and neuromuscular alterations of the trunk, and may thereby increase LBD risk. While viscoelastic behaviors of isolated spinal motion segments and muscles have been extensively investigated, in vivo viscoelastic responses of the trunk have not, particularly in response to flexion exposures. Further, most biomechanical efforts at understanding occupational LBDS have not considered the influence of flexion exposures on spine loads. Four studies were completed to characterize viscoelastic deformation of the trunk in response several flexion exposures and to develop and evaluate a computational model of the human trunk that accounts for time-dependent characteristics of soft tissues. Participants were exposed to prolonged flexion at different trunk angles and external moments, and repetitive trunk flexion with different external moments and flexion rates. Viscoelastic properties were quantified using laboratory experiments and viscoelastic models. A multi-segment model of the upper body was developed and evaluated, and then used to estimate muscle forces and spine loads during simulated lifting tasks before and after prolonged trunk flexion at a constant angle and constant external moment. Material properties from the earlier experiments were used to evaluate/calibrate the model. Experimental results indicated important effects of flexion angle, external moment, and flexion rate on trunk viscoelastic behaviors. Material properties from fitted Kelvin-solid models differed with flexion angle and external moment. Nonlinear viscoelastic behavior of the trunk tissues was evident, and predictive performance was enhanced using Kelvin-solid models with ≥2 iii retardation/relaxation time constants. Predictions using the multi-segment model suggested increases in spine loads following prolonged flexion exposures, primarily as a consequence of additional muscle activity. As a whole, these results help to characterize the effects of trunk flexion exposures on trunk biomechanics, contribute to more effective estimates of load distribution among passive and active components, enhance our understanding of LBD etiology, and may facilitate future controls/interventions.<br>Ph. D.
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Carlson, Robin. "Clinical Significance of Response Shift in a Spine Interventional Clinical Trial." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/231.

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The effectiveness of treatments for degenerative spine conditions, where the primary symptom is back pain, is typically determined using patient-reported quality of life (QoL) measures. However, patients may adjust their internal standards when scoring QoL based on factors other than their health. This response shift phenomenon could confound the interpretation of study data and impact effectiveness conclusions. In the current study, response shift was examined using structural equation modeling (SEM) and previously collected clinical trial data comparing 2 minimally invasive medical devices in lumbar spinal stenosis patients through 1 year postintervention. In subject QoL results, reprioritization shift between 3 months and 12 months that could confound standard analysis was identified. Treatment group did not influence response shift identified at 12 months. SEM provided an effective and practical tool for clinical investigators to assess response shift in available clinical study data. As response shift could lead to invalid conclusions when QoL measures are analyzed, clinical investigators should include response shift assessment in the design of clinical trials. This research into how response shift phenomenon can impact clinical trial results improves the ability of clinical investigators to interpret clinical trial data, potentially preventing erroneous conclusions. This research may also assist researchers and government regulators in the identification and reimbursement of beneficial, cost-effective medical treatments for patients worldwide. For clinical research designers, this study demonstrates a practical application of response shift assessment.
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López, Picazo Mirella. "3D subject-specific shape and density modeling of the lumbar spine from 2D DXA images for osteoporosis assessment." Doctoral thesis, Universitat Pompeu Fabra, 2019. http://hdl.handle.net/10803/666513.

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Osteoporosis is the most common bone disease, with a significant morbidity and mortality caused by the increase of bone fragility and susceptibility to fracture. Dual Energy X-ray Absorptiometry (DXA) is the gold standard technique for osteoporosis and fracture risk evaluation at the spine. However, the standard analysis of DXA images only provides 2D measurements and does not differentiate between bone compartments; neither specifically assess bone density in the vertebral body, which is where most of the osteoporotic fractures occur. Quantitative Computed Tomography (QCT) is an alternative technique that overcomes limitations of DXA-based diagnosis. However, due to the high cost and radiation dose, QCT is not used for osteoporosis management. In this thesis, a method providing a 3D subject-specific shape and density estimation of the lumbar spine from a single anteroposterior DXA image is proposed. The method is based on a 3D statistical shape and density model built from a training set of QCT scans. The 3D subject-specific shape and density estimation is obtained by registering and fitting the statistical model onto the DXA image. Cortical and trabecular bone compartments are segmented using a model-based algorithm. 3D measurements are performed at different vertebral regions and bone compartments. The accuracy of the proposed methods is evaluated by comparing DXA-derived to QCT-derived 3D measurements. Two case-control studies are also performed: a retrospective study evaluating the ability of DXA-derived 3D measurements at lumbar spine to discriminate between osteoporosis-related vertebral fractures and control groups; and a study evaluating the association between DXA-derived 3D measurements at lumbar spine and osteoporosis-related hip fractures. In both studies, stronger associations are found between osteoporosis-related fractures and DXA-derived 3D measurements compared to standard 2D measurements. The technology developed within this thesis offers an insightful 3D analysis of the lumbar spine, which could potentially improve osteoporosis and fracture risk assessment in patients who had a standard DXA scan of the lumbar spine without any additional examination.<br>La osteoporosis es la enfermedad ósea más común, con una morbilidad y mortalidad significativas causadas por el aumento de la fragilidad ósea y la susceptibilidad a las fracturas. La absorciometría de rayos X de energía dual (DXA, por sus siglas en inglés) es la técnica de referencia para la evaluación de la osteoporosis y del riesgo de fracturas en la columna vertebral. Sin embargo, el análisis estándar de las imágenes DXA solo proporciona mediciones 2D y no diferencia entre los compartimentos óseos; tampoco evalúa la densidad ósea en el cuerpo vertebral, que es donde se producen la mayoría de las fracturas osteoporóticas. La tomografía computarizada cuantitativa (QCT, por sus siglas en inglés) es una técnica alternativa que supera las limitaciones del diagnóstico basado en DXA. Sin embargo, debido al alto costo y la dosis de radiación, la QCT no se usa para el diagnóstico de la osteoporosis. En esta tesis, se propone un método que proporciona una estimación personalizada de la forma 3D y la densidad de la columna vertebral en la zona lumbar a partir de una única imagen DXA anteroposterior. El método se basa en un modelo estadístico 3D de forma y densidad creado a partir de un conjunto de entrenamiento de exploraciones QCT. La estimación 3D personalizada de forma y densidad se obtiene al registrar y ajustar el modelo estadístico con la imagen DXA. Se segmentan los compartimentos óseos corticales y trabeculares utilizando un algoritmo basado en modelos. Se realizan mediciones 3D en diferentes regiones vertebrales y compartimentos óseos. La precisión de los métodos propuestos se evalúa comparando las mediciones 3D derivadas de DXA con las derivadas de QCT. También se realizan dos estudios de casos y controles: un estudio retrospectivo que evalúa la capacidad de las mediciones 3D derivadas de DXA en la columna lumbar para discriminar entre sujetos con fracturas vertebrales relacionadas con la osteoporosis y sujetos control; y un estudio que evalúa la asociación entre las mediciones 3D derivadas de DXA en la columna lumbar y las fracturas de cadera relacionadas con la osteoporosis. En ambos estudios, se encuentran asociaciones más fuertes entre las fracturas relacionadas con la osteoporosis y las mediciones 3D derivadas de DXA en comparación con las mediciones estándar 2D. La tecnología desarrollada dentro de esta tesis ofrece un análisis en 3D de la columna lumbar, que podría mejorar la evaluación de la osteoporosis y el riesgo de fractura en pacientes que se sometieron a una exploración DXA estándar de la columna lumbar sin ningún examen adicional.
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Books on the topic "Spine modeling"

1

Wang, Edward David. Canine modeling of the human cervical spine. s.n.], 1990.

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Hines, J. Richard. SPICE modeling guide. Oholiab Technology, 1987.

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Paolo, Antognetti, ed. Semiconductor device modeling with SPICE. 2nd ed. McGraw-Hill, 1993.

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Paolo, Antognetti, and Massobrio Giuseppe, eds. Semiconductor device modeling with SPICE. McGraw-Hill, 1988.

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R, Baylog Louis, ed. Dendritic spines biochemistry, modeling and properties. Nova Science Publishers, 2009.

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Foty, D. MOSFET modeling with SPICE: Principles and practice. Prentice Hall PTR, 1997.

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Su, Pu-chʻing. Computational geometry--curve and surface modeling. Academic Press, 1989.

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Schiring, E. E. Simulation modeling and test of a satellite despin system. AIAA, 1989.

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Cheng, Ron. Surface modeling using AutoSurf Release 2. Autodesk Press, 1997.

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FitzPatrick, Dan. Analog behavioral modeling with the Verilog-A language. Kluwer Academic Publishers, 1998.

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Book chapters on the topic "Spine modeling"

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Klinder, Tobias, Samuel Kadoury, and Cristian Lorenz. "Computational Modeling of the Spine." In Lecture Notes in Computational Vision and Biomechanics. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03813-1_11.

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Tang, Qiaohong, Zhongjun Mo, Shan Tian, and Pin Xiang. "Biomechanical Modeling and Simulation of Spine." In Biomechanical Modelling and Simulation on Musculoskeletal System. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3911-1_4.

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Kim, Yoon Hyuk, and Kyungsoo Kim. "Musculoskeletal Modeling of Lumbar Spine under Follower Loads." In Computational Science and Its Applications – ICCSA 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24709-8_50.

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Tyagi, Pratibha. "Modeling and Simulation of Thoracic Region of Spine." In Advances in Intelligent and Soft Computing. Springer India, 2012. http://dx.doi.org/10.1007/978-81-322-0491-6_59.

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Kallemeyn, Nicole A., Kiran H. Shivanna, Nicole A. DeVries, et al. "Advancements in Spine FE Mesh Development: Toward Patient-Specific Models." In Patient-Specific Modeling in Tomorrow's Medicine. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/8415_2011_93.

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Jones, Alison C., Vithanage N. Wijayathunga, Sarrawat Rehman, and Ruth K. Wilcox. "Subject-Specific Models of the Spine for the Analysis of Vertebroplasty." In Patient-Specific Modeling in Tomorrow's Medicine. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/8415_2011_102.

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Toth-Tascau, Mirela, and Dan Ioan Stoia. "Modeling and Numerical Analysis of a Cervical Spine Unit." In Springer Series in Biomaterials Science and Engineering. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4328-5_7.

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Wang, Xuguang. "Problems Encountered in Seated Arm Reach Posture Reconstruction: Need for a More Realistic Spine and Upper Limb Kinematic Model." In Digital Human Modeling. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02809-0_18.

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Linte, Cristian A., Kurt E. Augustine, Jon J. Camp, Richard A. Robb, and David R. Holmes III. "Toward Virtual Modeling and Templating for Enhanced Spine Surgery Planning." In Spinal Imaging and Image Analysis. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12508-4_14.

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Dietrich, Marek, Krzysztof Kedzior, and Tomasz Zagrajek. "Modeling of Muscle Action and Stability of the Human Spine." In Multiple Muscle Systems. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-9030-5_27.

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Conference papers on the topic "Spine modeling"

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Warner, William R., Xiaoyao Fan, Ryan B. Duke, et al. "Automatic spine exposure segmentation in stereovision imaging using SAM 2 for driving image updating pipeline for preoperative to intraoperative registration in open spine procedures." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Maryam E. Rettmann and Jeffrey H. Siewerdsen. SPIE, 2025. https://doi.org/10.1117/12.3047443.

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Xiang, Yuxuan, Yanqiu Zheng, and Fumihiko Asano. "Modeling and Analysis of Combined Rimless Wheel with Tensegrity Spine." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10611065.

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Sisodia, Ankur, Swati Vishnoi, Medha Khenwar, Dushyant Chauhan, Nandini Sharma, and Priyanka Gupta. "Spine Disease Detection in Spinal X-Ray Images using Machine Learning." In 2024 13th International Conference on System Modeling & Advancement in Research Trends (SMART). IEEE, 2024. https://doi.org/10.1109/smart63812.2024.10882486.

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Huang, Yixuan, Yicheng Hu, Craig K. Jones, et al. "Real-time 3D-2D pose regression using intraoperative long-length tomosynthesis images for MR navigation in spine surgery." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Maryam E. Rettmann and Jeffrey H. Siewerdsen. SPIE, 2025. https://doi.org/10.1117/12.3048809.

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Isci, Hakan, Polat Şendur, Damla Gezegen, Ramazan Ünal, and Nima Heidari. "Customized Pilot Cervical Spine Protection Orthosis Development." In Vertical Flight Society 80th Annual Forum & Technology Display. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1076.

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Pilots and crew of rotary-wing aircraft can be exposed to inertial and task position stressors that generate pain. Repeated painful exposures with or without tissue damage are precursors to pain sensitization and chronic pain. Chronic pain leads to reduced operational readiness and long-term medical treatment. This study investigated protection orthosis for unrecoverable effects on the cervical spine by heavy helmets and accessories. A user-customized product has been developed and customization has been intended to be done with multi-body dynamic modeling and testing. Although there are many biomechanical models of the human cervical spine in the literature, their analysis capabilities to perform modal analysis and frequency response analysis are limited. Especially for Rotary-wing applications, models with such capabilities will play an essential role in diagnosing and rehabilitating musculoskeletal disorders and designing engineering devices to prevent and heal cervical spine injuries. Therefore, a detailed head-cervical spine model is developed in which frequency domain analysis is possible. Alternative design solutions have been investigated to support helmets to decrease the load exerted on the neck periphery. Finally, tests have been performed to correlate analysis with a real helicopter environment. At the end of the study, a customizable neck orthosis has been developed and verified with the tests that it reduces the adverse effects of heavy helmets on the cervical spine periphery.
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Bhagoji, Akash Gurusiddappa, Rashmi Benni, Prateek Shivanand Patted, and Shashank Alagawadi. "Statistical Modeling of Spine MRI: GMM and AGMM-Based Segmentation for Lumbar Angle Classification." In 2024 IEEE Conference on Engineering Informatics (ICEI). IEEE, 2024. https://doi.org/10.1109/icei64305.2024.10912157.

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"Spine." In 2015 31st Thermal Measurement, Modeling & Management Symposium (SEMI-THERM). IEEE, 2015. http://dx.doi.org/10.1109/semi-therm.2015.7100115.

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"Spine." In 2020 36th Semiconductor Thermal Measurement, Modeling & Management Symposium (SEMI-THERM). IEEE, 2020. http://dx.doi.org/10.23919/semi-therm50369.2020.9142857.

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"[Spine art]." In 2016 32nd Thermal Measurement, Modeling & Management Symposium (SEMI-THERM). IEEE, 2016. http://dx.doi.org/10.1109/semi-therm.2016.7458426.

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"[Spine art]." In 2017 33rd Thermal Measurement, Modeling & Management Symposium (SEMI-THERM). IEEE, 2017. http://dx.doi.org/10.1109/semi-therm.2017.7896888.

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Reports on the topic "Spine modeling"

1

Hrma, Pavel R., Lubomir Nemec, and Petr Schill. Modeling of Spinel Settling in Waste Glass Melter. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/833300.

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Hrma, Pavel, Petr Schill, Lubomir Nemec, Jaroslav Klouzek, Mika Martin, and Jiri Brada. Modeling of Spinel Settling in Waste Glass Melter. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/833301.

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Chen, Minjie, and Charles Sullivan. MLSPICE: Machine Learning based SPICE Modeling Platform for Power. Office of Scientific and Technical Information (OSTI), 2025. https://doi.org/10.2172/2522138.

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Thompson and Lawson. L51667 Causes and Effects of the Spiking Phenomenon. Pipeline Research Council International, Inc. (PRCI), 1992. http://dx.doi.org/10.55274/r0010141.

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During a prior research program, a spiking phenomenon was identified that prevented the measurement of the off potential directly from the pipe-to-soil potential waveform. Furthermore, the spike made it impossible to measure an off potential during current interruption for some period of time following interruption. In recent years, there has been discussion that the spike in the pipe-to-soil potential waveform affects the ability of the CP system to mitigate corrosion. In addition, the increased significance that has been placed on off-potential measurements within the industry has made it important to understand any phenomenon that may affect the ability to measure the off potential. This effort works to establish the cause and effects of the spiking phenomenon. To accomplish this program, a Work Plan was established that provided for the following four tasks: Task 1 - Field Measurements, Task 2 - Circuit Analog Model, Task 3 - Effect of the Spike on Off- Potential Measurements, and Task 4 - Laboratory Experiments. Through this combined effort of field evaluations, modeling, and laboratory experiments, the root cause of the spike was established along with guidelines for making the off-potential measurement. The results of this project provides the CP engineer with a standard practice for measuring off-potentials in the presence of the spiking phenomenon.
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Gilsinn, David E., Herbert T. Brandy, and Alice V. Ling. A spline algorithm for modeling cutting errors on turning centers. National Institute of Standards and Technology, 2000. http://dx.doi.org/10.6028/nist.ir.6517.

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Thompson and Lawson. L51693 Most Accurate Method for Measuring an Off-Potential. Pipeline Research Council International, Inc. (PRCI), 1994. http://dx.doi.org/10.55274/r0010317.

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�During a prior Gas Research Institute (GRI) research program, a spiking phenomenon was identified that prevented the measurement of the off potential directly from the pipe-to-soil potential waveform. Furthermore, the spike made it impossible to measure an off potential during current interruption for some period of time following interruption. In recent years, there has been discussion that the spike in the pipe-to-soil potential waveform affects the ability of the CP system to mitigate corrosion. In addition, the increased significance that has been placed on off-potential measurements within the industry has made it important to understand any phenomenon that may affect the ability to measure the off potential. Because of the above concerns, the Corrosion Supervisory Committee of the Pipeline Research Committee authorized this two-year program to establish the cause and effects of the spiking phenomenon. To accomplish this program, a Work Plan was established that provided for the following four tasks: Task 1 - Field Measurements, Task 2 - Circuit Analog Model, Task 3 - Effect of the Spike on Off- Potential Measurements, and Task 4 - Laboratory Experiments. Through this combined effort of field evaluations, modeling, and laboratory experiments, the root cause of the spike was established along with guidelines for making the off-potential measurement. The results of this project provides the CP engineer with a standard practice for measuring off-potentials in the presence of the spiking phenomenon.
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Krylov, Anna. Theoretical modeling of spin-forbidden channels in combustion reactions (Final Report). Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1525441.

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Dutheil, Yann. Spin dynamics modeling in the AGS based on a stepwise ray-tracing method. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/1351801.

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Bielinskyi, Andrii, Vladimir Soloviev, Serhiy Semerikov, and Viktoria Solovieva. Detecting Stock Crashes Using Levy Distribution. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3210.

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In this paper we study the possibility of construction indicators-precursors relying on one of the most power-law tailed distributions – Levy’s stable distribution. Here, we apply Levy’s parameters for 29 stock indices for the period from 1 March 2000 to 28 March 2019 daily values and show their effectiveness as indicators of crisis states on the example of Dow Jones Industrial Average index for the period from 2 January 1920 to 2019. In spite of popularity of the Gaussian distribution in financial modeling, we demonstrated that Levy’s stable distribution is more suitable due to its theoretical reasons and analysis results. And finally, we conclude that stability α and skewness β parameters of Levy’s stable distribution which demonstrate characteristic behavior for crash and critical states, can serve as an indicator-precursors of unstable states.
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Valetov, Eremey Vladimirovich. Field Modeling, Symplectic Tracking, and Spin Decoherence for EDM and Muon $g\textrm{-}2$ Lattices. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1416546.

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