Evaluation of terrain geomorphometric characteristics for ground clearance charts production by Mirko A. Borisov, Radoje D. Banković, Siniša M. Drobnjak

“…In addition to specifying the desired number of classes, the analyst may also specify parameters related to the separation distance among the clusters and the variation within each cluster. The result of this iterative clustering process may result in some clusters that the analyst will want to combine subsequently, or clusters that should be broken down further on - each of these requiring a further application of the clustering algorithm. …”
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Aspectos no resueltos en el manejo de la anemia renal, un consenso Delphi del Grupo de Anemia de la S.E.N by José Portolés, Alejandro Martín-Malo, Leyre Martín-Rodríguez, Gema Fernández-Fresnedo, Patricia De Sequera, J. Emilio Sánchez, Alberto Ortiz-Arduan, Aleix Cases

“…Nineteen experts evaluated them using an iterative Two-Round Delphi-like process. Sixteen statements were agreed in response to 8 questions related to iron deficiency and supplementation with Fe (impact and management of iron deficiency with or without anemia, iron deficiency markers, safety of i.v. iron) and 7 related to erythropoiesis stimulating agents (ESAs) and/or hypoxia-inducible factor stabilizers (HIF), reaching consensus on all of them (individualization of the Hb objective, impact and management of resistance to ESA, ESA in the immediate post-transplant period and HIF stabilizers: impact on ferrokinetics, interaction with inflammation and cardiovascular safety). …”
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Sharp L1 Inequalities for Sup-Convolution by Hunter Spink, Marius Tiba, Peter van Hintum

“…Also, it is easy to see that if $f\leq g$ and $g$ is concave, then $f^{*n}\leq g$. So one expects the iterated sup-convolutions $f^{*n}$ to converge to $\text{co}(f)$, the smallest concave function that dominates $f$. …”
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Analysis of simultaneous aerosol and ocean glint retrieval using multi-angle observations by K. Knobelspiesse, A. Ibrahim, A. Ibrahim, B. Franz, S. Bailey, R. Levy, Z. Ahmad, Z. Ahmad, J. Gales, J. Gales, M. Gao, M. Gao, M. Garay, S. Anderson, S. Anderson, O. Kalashnikova

“…For this purpose, we use generalized nonlinear retrieval analysis (GENRA), an information content assessment (ICA) technique employing Bayesian inference, and simulations from the Ahmad–Fraser iterative radiative transfer code.</p> <p>We find that four parameters are suitable: aerosol optical depth (<span class="inline-formula"><i>τ</i></span>), particle size distribution (expressed as the fine mode fraction <span class="inline-formula"><i>f</i></span> of small particles in a bimodal size distribution), surface wind speed (<span class="inline-formula"><i>w</i></span>), and relative humidity (<span class="inline-formula"><i>r</i></span>, to define the aerosol water content and complex refractive index). …”
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Proteomic profiling of low muscle and high fat mass: a machine learning approach in the KORA S4/FF4 study by Marie‐Theres Huemer, Alina Bauer, Agnese Petrera, Markus Scholz, Stefanie M. Hauck, Michael Drey, Annette Peters, Barbara Thorand

“…Including protein biomarkers selected in ≥90% of group lasso bootstrap iterations on top of classical risk factors improved the performance of models predicting low ASMM, high BFMI, and their combination [delta AUC (95% CI): 0.16 (0.13–0.20), 0.22 (0.18–0.25), 0.12 (0.08–0.17), respectively]. …”
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[Translated article] Translation into Spanish and Field-Testing of a New Score for Evaluating Psoriasis Severity: The Simplified Psoriasis Index (SPI) by D. Barquero-Orias, E. Armellini, A.J. Anderson, A. Armellini, A.G. Ortega-Loayza, I. Helbling, R.J.G. Chalmers

“…The Spanish translations were discussed by comparing them to blinded back translations into English undertaken by native English speakers; the Spanish texts were then revised in an iterative process involving the translators, 4 dermatologists, and 20 patients. …”
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Nine years of global hydrocarbon emissions based on source inversion of OMI formaldehyde observations by M. Bauwens, T. Stavrakou, J.-F. Müller, I. De Smedt, M. Van Roozendael, G. R. van der Werf, C. Wiedinmyer, J. W. Kaiser, K. Sindelarova, K. Sindelarova, A. Guenther

“…The top–down fluxes are derived in the global CTM IMAGESv2 by an iterative minimization algorithm based on the full adjoint of IMAGESv2, starting from a priori emission estimates provided by the newly released GFED4s (Global Fire Emission Database, version 4s) inventory for fires, and by the MEGAN-MOHYCAN inventory for isoprene emissions. …”
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Application of Dandelion Optimization Algorithm in Pattern Synthesis of Linear Antenna Arrays by Jianhui Li, Yan Liu, Wanru Zhao, Tianning Zhu

“…As a new type of evolutionary algorithm inspired by nature, the DO algorithm is inspired by the wind propagation behavior of dandelions in nature. This algorithm iteratively updates the population from three stages of ascent, descent, and landing, ultimately finding the optimal position. …”
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Unresolved aspects in the management of renal anemia, a Delphi consensus of the Anemia Group of the S.E.N by José Portolés, Alejandro Martín-Malo, Leyre Martín-Rodríguez, Gema Fernández-Fresnedo, Patricia De Sequera, José Emilio Sánchez, Alberto Ortiz-Arduan, Aleix Cases

“…Nineteen experts evaluated them using an iterative Two-Round Delphi-like process. Sixteen statements were agreed in response to 8 questions related to iron deficiency and supplementation with Fe (impact and management of iron deficiency with or without anemia, iron deficiency markers, safety of i.v. iron) and 7 related to erythropoiesis stimulating agents (ESAs) and/or hypoxia-inducible factor stabilizers (HIF), reaching consensus on all of them (individualization of the Hb objective, impact and management of resistance to ESA, ESA in the immediate post-transplant period and HIF stabilizers: impact on ferrokinetics, interaction with inflammation and cardiovascular safety). …”
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Has the quality of physiotherapy care in patients with Whiplash-associated disorders (WAD) improved over time? A retrospective study using routinely collected data and quality indi... by Oostendorp RAB, Elvers H, van Trijffel E, Rutten GM, Scholten-Peeters GGM, Heijmans M, Hendriks E, Mikolajewska E, De Kooning M, Laekeman M, Nijs J, Roussel N, Samwel H

“…We then analyzed WAD patient data (N = 810) collected over a period of 16 years in two physiotherapy practices, separating patients into two groups defined as before (Group A 1996&ndash;2002; n = 353) and after (Group B 2003&ndash;2011; n = 457) implementation and transition to the Dutch CPG &ldquo;Physiotherapy Management and WAD&rdquo;.Results: Using an iterative process and input from both experts and users, 28 QIs were developed and subsequently classified per step of the clinical reasoning process for physiotherapy care. …”
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Unveiling the Evolutionary State of Three B Supergiant Stars: PU Gem, <i>ϵ</i> CMa, and <i>η</i> CMa by Julieta Paz Sánchez Arias, Péter Németh, Elisson Saldanha da Gama de Almeida, Matias Agustin Ruiz Diaz, Michaela Kraus, Maximiliano Haucke

“…For the fitting procedure, we included CMFGEN models in the iterative spectral analysis pipeline <span style="font-variant: small-caps;">XTgrid</span> to determine their CNO abundances. …”
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Unsupervised Deep Learning for Advanced Forming Limit Analysis in Sheet Metal: A Tensile Test-Based Approach by Aleksandra Thamm, Florian Thamm, Annette Sawodny, Sally Zeitler, Marion Merklein, Andreas Maier

“…In our evaluation, we train and test materials, including AA6016, DX54D, and DP800, through iterative data composition, using cross-validation. …”
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How to Learn About Users and Understand Their Needs? User Experience, Mental Models and Research at Public Administration Websites by Csilla Herendy

“…They paid attention to optimizing color coding, the simplest possible presentation of everything, ease of use, iteration, and accessibility. They got to know existing mental models and stuck to them, they coordinated the adjustment of contrast, color, typography, icons, style, sound effects and visual metaphors. …”
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Orbiting Carbon Observatory-2 (OCO-2) cloud screening algorithms: validation against collocated MODIS and CALIOP data by T. E. Taylor, C. W. O'Dell, C. Frankenberg, P. T. Partain, H. Q. Cronk, A. Savtchenko, R. R. Nelson, E. J. Rosenthal, A. Y. Chang, B. Fisher, G. B. Osterman, R. H. Pollock, D. Crisp, A. Eldering, M. R. Gunson

“…The A-Band Preprocessor (ABP) retrieves the surface pressure using measurements in the 0.76 µm O₂ A band, neglecting scattering by clouds and aerosols, which introduce photon path-length differences that can cause large deviations between the expected and retrieved surface pressure. The Iterative Maximum A Posteriori (IMAP) Differential Optical Absorption Spectroscopy (DOAS) Preprocessor (IDP) retrieves independent estimates of the CO₂ and H₂O column abundances using observations taken at 1.61 µm (weak CO₂ band) and 2.06 µm (strong CO₂ band), while neglecting atmospheric scattering. …”
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Oscillation and Asymptotic Properties of Differential Equations of Third-Order by R. Elayaraja, V. Ganesan, Omar Bazighifan, Clemente Cesarano

“…The main purpose of this study is aimed at developing new criteria of the iterative nature to test the asymptotic and oscillation of nonlinear neutral delay differential equations of third order with noncanonical operator <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mo>(</mo><mi>a</mi><mrow><mo>(</mo><mi>ι</mi><mo>)</mo></mrow><msup><mrow><mo>[</mo><mo>(</mo><mi>b</mi><mrow><mo>(</mo><mi>ι</mi><mo>)</mo></mrow><msup><mfenced separators="" open="[" close="]"><mi>x</mi><mo>(</mo><mi>ι</mi><mo>)</mo><mo>+</mo><mi>p</mi><mo>(</mo><mi>ι</mi><mo>)</mo><mi>x</mi><mo>(</mo><mi>ι</mi><mo>−</mo><mi>τ</mi><mo>)</mo></mfenced><mo>′</mo></msup><mo>)</mo></mrow><mo>′</mo></msup><mo>]</mo></mrow><mi>β</mi></msup><msup><mrow><mo>)</mo></mrow><mo>′</mo></msup></mrow></semantics></math></inline-formula><inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>+</mo><msubsup><mo>∫</mo><mrow><mi>c</mi></mrow><mi>d</mi></msubsup><mi>q</mi><mrow><mo>(</mo><mi>ι</mi><mo>,</mo><mi>μ</mi><mo>)</mo></mrow><msup><mi>x</mi><mi>β</mi></msup><mrow><mo>(</mo><mi>σ</mi><mrow><mo>(</mo><mi>ι</mi><mo>,</mo><mi>μ</mi><mo>)</mo></mrow><mo>)</mo></mrow><mspace width="0.166667em"></mspace><mi>d</mi><mi>μ</mi><mo>=</mo><mn>0</mn><mo>,</mo></mrow></semantics></math></inline-formula> where <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>ι</mi><mo>≥</mo><msub><mi>ι</mi><mn>0</mn></msub></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>w</mi><mo>(</mo><mi>ι</mi><mo>)</mo><mo>:</mo><mo>=</mo><mi>x</mi><mo>(</mo><mi>ι</mi><mo>)</mo><mo>+</mo><mi>p</mi><mo>(</mo><mi>ι</mi><mo>)</mo><mi>x</mi><mo>(</mo><mi>ι</mi><mo>−</mo><mi>τ</mi><mo>)</mo></mrow></semantics></math></inline-formula>. …”
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Medication management in older people: the MEMORABLE realist synthesis by Ian D Maidment, Sally Lawson, Geoff Wong, Andrew Booth, Anne Watson, Jane McKeown, Hadar Zaman, Judy Mullan, Sylvia Bailey

“…Following RAMESES (Realist And Meta-narrative Evidence Syntheses: Evolving Standards) guidelines, articles were screened and iteratively analysed with interview data, to generate theory-informed (normalisation process theory) explanations. …”
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3312 Understanding Community-engaged Research at an Academic Medical Center and Learning Healthcare System in the US South by Megan Bennett-Irby, Phillip Summers, Keena R. Moore, Stephanie Daniel, Jospeh A. Skelton, Scott D. Rhodes

“…In-depth interview guides were designed iteratively to capture socio-contextual and detailed descriptions of perceptions, experiences, and strategies specific to the use of CEnR. …”
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Reconstructed spatial resolution and contrast recovery with Bayesian penalized likelihood reconstruction (Q.Clear) for FDG-PET compared to time-of-flight (TOF) with point spread fu... by Julian M. Rogasch, Said Suleiman, Frank Hofheinz, Stephanie Bluemel, Mathias Lukas, Holger Amthauer, Christian Furth

“…Reconstruction included Q.Clear (beta, 150/300/450), “PSF+TOF4/16” (iterations, 4; subsets, 16; in-plane filter, 2.0 mm), “OSEM+TOF4/16” (identical parameters), “PSF+TOF2/17” (2 it, 17 ss, 2.0 mm filter), “OSEM+TOF2/17” (identical), “PSF+TOF4/8” (4 it, 8 ss, 6.4 mm), and “OSEM+TOF2/8” (2 it, 8 ss, 6.4 mm). …”
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Assessing progress of the Pan American Health Organization's Policy Research for Health in member states by Claudia Frankfurter, Jimmy Le, Luis Gabriel Cuervo

“…In this case study, we outline the iterations of the PAHO Policy on Research for Health Scorecard, as well as the lessons learned throughout the development process that may be a valuable guide for health research entities monitoring and evaluating the progress of their own policies. …”
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Qualification des logiciels numériques. Application à un logiciel d'analyse de la combustion dans les moteurs à allumage commandé Qualification of Numerical Software. Application... by Vignes J., Guilain S.

“…When used in programs implementing the three classes of numerical computing methods (finite, iterative and approximate methods), it can detect numerical instabilities, control branchings and provide accuracy of the results considering the propagation of round-off errors and data errors. …”
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