Visually guided motion through complex environments by Pérez-Campanero Antolín, N

“…I find bird gap choices are best captured by an autoregressive model, including information about the exit location, the cartesian distance between the closest obstacles, and the apparent visual gaps between all the obstacles ahead. …”

Exploring subspace-constrained approaches to low-rank fMRI acceleration by Mason, HT

“…These constraints will be applied to real fMRI data acquired with a TURBINE trajectory (Trajectory Using Radially Batched Internal Navigator Echoes), a hybrid radial-Cartesian 3D trajectory with Golden Ratio angle increments in the radial orientation.…”

Scalable diversified antirandom test pattern generation with improved fault coverage for black-box circuit testing by Alamgir, Arbab

“…An extension to pseudorandom testing is Antirandom that induces divergent patterns by maximizing the Total Hamming Distance (THD) and Total Cartesian Distance (TCD) of every subsequent test pattern. …”
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Monitoring Active Patient Participation During Robotic Rehabilitation: Comparison Between a Robot-Based Metric and an EMG-Based Metric by Elisabeth R. Jensen, Kim K. Peper, Marion Egger, Friedemann Muller, Erfan Shahriari, Sami Haddadin

“…The two metrics, each derived from first principles, have the same biomechanical interpretability, i.e., active work by the patient during the robotic mobilization therapy, but are calculated in two different spaces (Cartesian vs. muscle space). Furthermore, the sensors used to quantify these two metrics are fully independent from each other and the associated measurements are unrelated. …”
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Kat-ARC accelerated 4D flow CMR: clinical validation for transvalvular flow and peak velocity assessment by Hosamadin Assadi, Bhalraam Uthayachandran, Rui Li, James Wardley, Tha H. Nyi, Ciaran Grafton-Clarke, Andrew J. Swift, Ana Beatriz Solana, Jean-Paul Aben, Kurian Thampi, David Hewson, Chris Sawh, Richard Greenwood, Marina Hughes, Bahman Kasmai, Liang Zhong, Marcus Flather, Vassilios S. Vassiliou, Pankaj Garg

“…Abstract Background To validate the k-adaptive-t autocalibrating reconstruction for Cartesian sampling (kat-ARC), an exclusive sparse reconstruction technique for four-dimensional (4D) flow cardiac magnetic resonance (CMR) using conservation of mass principle applied to transvalvular flow. …”
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A Platform for Tracking Surgeon and Observer Gaze as a Surrogate for Attention in Ophthalmic Surgery by Rogerio G. Nespolo, MSc, Emily Cole, MD, Daniel Wang, MD, Darvin Yi, PhD, Yannek I. Leiderman, MD, PhD

“…Attending ophthalmic surgeons and clinical fellows exhibited a lower overall cartesian distance traveled in comparison to resident physicians in ophthalmology (P < 0.02). …”
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Feasibility of Dynamic Inhaled Gas MRI-Based Measurements Using Acceleration Combined with the Stretched Exponential Model by Ramanpreet Sembhi, Tuneesh Ranota, Matthew Fox, Marcus Couch, Tao Li, Iain Ball, Alexei Ouriadov

“…Thirteen normal-rats were studied using ³He/¹²⁹Xe and ¹⁹F MRI and the ventilation measurements were performed using two 3T clinical-scanners. Two Cartesian-sampling-schemes (Fast-Gradient-Recalled-Echo/X-Centric) were used to test the proposed method. …”
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The Algebraic Surfaces of the Enneper Family of Maximal Surfaces in Three Dimensional Minkowski Space by Erhan Güler

“…Moreover, we propose that the family has degree <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mrow><mo>(</mo><mn>2</mn><mi>m</mi><mo>+</mo><mn>1</mn><mo>)</mo></mrow><mn>2</mn></msup></semantics></math></inline-formula> (resp., class <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2</mn><mi>m</mi><mo>(</mo><mn>2</mn><mi>m</mi><mo>+</mo><mn>1</mn><mo>)</mo></mrow></semantics></math></inline-formula>) in the cartesian coordinates <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>x</mi><mo>,</mo><mi>y</mi><mo>,</mo><mi>z</mi></mrow></semantics></math></inline-formula> (resp., in the inhomogeneous tangential coordinates <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>a</mi><mo>,</mo><mi>b</mi><mo>,</mo><mi>c</mi></mrow></semantics></math></inline-formula>).…”
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Spatial Autocorrelation Incorporated Machine Learning Model for Geotechnical Subsurface Modeling by Hyeong-Joo Kim, Kevin Bagas Arifki Mawuntu, Tae-Woong Park, Hyeong-Soo Kim, Jun-Young Park, Yeong-Seong Jeong

“…However, spatial relation has not been fully considered in modeling, since the Cartesian coordinates of the observed points are directly employed as the location information for machine learning features. …”
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The effect of various weight-bearing activities on the motion of lumbar facet joints in vivo by Wangqiang Wen, Haoxiang Xu, Zepei Zhang, Bowen Kou, Quan Sun, Jun Miao

“…With the help of computer software, a Cartesian coordinate system was placed in the center of each articular surface to measure the kinematics of the articular process and to obtain 6DOF data under different loads (0 kg, 5 kg, 10 kg) in the lumbar facet joints.  …”
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Comparison of Two Aspects of a PDE Model for Biological Network Formation by Clarissa Astuto, Daniele Boffi, Jan Haskovec, Peter Markowich, Giovanni Russo

“…We use finite differences schemes in a uniform Cartesian grid in a spatially two-dimensional setting to solve the two systems, where the parabolic equation is solved using a semi-implicit scheme in time. …”
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GDAL and PROJ Libraries Integrated with GRASS GIS for Terrain Modelling of the Georeferenced Raster Image by Polina Lemenkova, Olivier Debeir

“…This research presents topographic analysis of the dataset using scripting methods which include several tools: (1) GDAL, a translator library for raster and vector geospatial data formats used for converting Earth Global Relief Model (ETOPO1) GeoTIFF in XY Cartesian coordinates into World Geodetic System 1984 (WGS84) by the ‘gdalwarp’ utility; (2) PROJ projection transformation library used for converting ETOPO1 WGS84 grid to cartographic projections (Cassini–Soldner equirectangular, Equal Area Cylindrical, Two-Point Equidistant Azimuthal, and Oblique Mercator); and (3) GRASS GIS by sequential use of the following modules: r.info, d.mon, d.rast, r.colors, d.rast.leg, d.legend, d.northarrow, d.grid, d.text, g.region, and r.contour. …”
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Automatic Assessment of Emotion Dysregulation in American, French, and Tunisian Adults and New Developments in Deep Multimodal Fusion: Cross-sectional Study by Federico Parra, Yannick Benezeth, Fan Yang

“…We transformed each person’s per-stimulus structured data into a multimodal codex, a grayscale image created by projecting each feature’s normalized intensity value onto a cartesian space, deriving each pixel’s position by applying the Uniform Manifold Approximation and Projection method. …”
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Iterated Functions Systems Composed of Generalized <i>θ</i>-Contractions by Pasupathi Rajan, María A. Navascués, Arya Kumar Bedabrata Chand

“…In this paper, we introduce a new generalization of Hutchinson IFS, namely generalized <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>θ</mi></semantics></math></inline-formula>-contraction IFS, which is a finite collection of generalized <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>θ</mi></semantics></math></inline-formula>-contraction functions <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>T</mi><mn>1</mn></msub><mo>,</mo><mo>…</mo><mo>,</mo><msub><mi>T</mi><mi>N</mi></msub></mrow></semantics></math></inline-formula> from finite Cartesian product space <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>X</mi><mo>×</mo><mo>⋯</mo><mo>×</mo><mi>X</mi></mrow></semantics></math></inline-formula> into <i>X</i>, where <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo stretchy="false">(</mo><mi>X</mi><mo>,</mo><mi>d</mi><mo stretchy="false">)</mo></mrow></semantics></math></inline-formula> is a complete metric space. …”
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J. M. Coetzee’s unsettling portrayals of Elizabeth Costello = Os retratos vexatórios de J. M. Coetzee sobre Elizabeth Costello by Laura Giovannelli

“…This paper addresses the vexed question of animal and human rights byfocusing on Coetzee’s ‘trilogy’ connected with Elizabeth Costello’s lecturing and experiencing, from her anti-Cartesian stances and sympathetic imagination advocated in The lives of animals, through the eight lessons which she frantically goes over and delivers like a ‘circus seal’, or even happens to be taught (in Elizabeth Costello), up to Slow man, where she turns into the waspish, vulpine ‘Costello woman’ preying on tortoise-like Paul Rayment. …”
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Monitoring Urban Expansion by Coupling Multi-Temporal Active Remote Sensing and Landscape Analysis: Changes in the Metropolitan Area of Cordoba (Argentina) from 2010 to 2021 by Flavio Marzialetti, Paolo Gamba, Antonietta Sorriso, Maria Laura Carranza

“…For these cells, we computed urban cover and a set of landscape pattern indices (PIs), and by projecting them in a composition vs. configuration Cartesian space we performed a trajectory analysis. …”
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Uso de técnicas de voxelización en el tratamiento de nubes de puntos de distinto origen en entornos de edificación = Use of voxelisation techniques in the treatment of point clouds... by Javier Raimundo-Valdecantos

“…A point cloud is nothing more than a collection of points defined by their coordinates within a Cartesian space: X, Y, Z. In turn, each point can have an additional registered property: colour, intensity of the returned pulse, etc. …”
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Motion Planning of Upper-Limb Exoskeleton Robots: A Review by Clautilde Nguiadem, Maxime Raison, Sofiane Achiche

“…Results were then classified into two main categories of methods to plan trajectory: (i) Approaches based on Cartesian motion planning, and inverse kinematics using polynomial-interpolation or optimization-based methods such as minimum-jerk, minimum-torque-change, and inertia-like models; and (ii) approaches based on “learning by demonstration” using machine-learning techniques such as supervised learning based on neural networks, and learning methods based on hidden Markov models, Gaussian mixture models, and dynamic motion primitives. (4) Conclusions: Various methods have been proposed to plan the trajectories for upper-limb exoskeleton robots, but most of them plan the trajectory offline. …”
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The Development of Dark Hyperspectral Absolute Calibration Model Using Extended Pseudo Invariant Calibration Sites at a Global Scale: Dark EPICS-Global by Padam Bahadur Karki, Morakot Kaewmanee, Larry Leigh, Cibele Teixeira Pinto

“…The DAHAC model developed in this study takes into account the solar zenith and azimuth angles, as well as the view zenith and azimuth angles in Cartesian coordinates form. This model is capable of predicting TOA reflectance in all existing spectral bands of any sensor. …”
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Innovation in 3D Braiding Technology and Its Applications by Caroline Emonts, Niels Grigat, Felix Merkord, Ben Vollbrecht, Akram Idrissi, Johannes Sackmann, Thomas Gries

“…Historically, 3D braids were produced on row and column braiding machines with Cartesian or radial machine beds, by bobbin movements around inlay yarns. …”
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