Modeling of Tensile Tests Flow Curves Using an Explicit Piecewise Inverse Approach by Aditya Vuppala, Holger Brüggemann, David Bailly, Emad Scharifi

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Implicit Damping Iterative Algorithm to Solve Elastoplastic Static and Dynamic Equations by Huaifa Ma, Jikai Zhou, Guoping Liang

“…This paper presents an implicit damping iterative algorithm to simultaneously solve equilibrium equations, yield function, and plastic flow equations, without requiring an explicit expression of elastoplastic stiffness matrices and local iteration for “return mapping” stresses to the yield surface. …”
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Gradient boosting regression for faster Partitioned Iterated Function Systems‐based head pose estimation by Paola Barra, Riccardo Distasi, Chiara Pero, Stefano Ricciardi, Maurizio Tucci

“…Since, so far, the primary aim in HPE research has been on improving estimation accuracy, there are only a few works reporting the computing time of the proposed HPE method and even less explicitly addressing it. The present work stems from a previous Partitioned Iterated Function Systems‐based approach providing state‐of‐the‐art accuracy with high computing cost, and improve it by means of two regression models, namely Gradient Boosting Regressor and Extreme Gradient Boosting Regressor, achieving much faster response and an even lower mean absolute error on the yaw and roll axis, as shown by experiments conducted on the BIWI and AFLW2000 datasets.…”
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Numerical Simulations of Complex Helmholtz Equations Using Two-Block Splitting Iterative Schemes with Optimal Values of Parameters by Chein-Shan Liu, Chih-Wen Chang, Chia-Cheng Tsai

“…The primary novelty and major contribution of this paper lies in using the orthogonality condition of residual vectors to optimize the iterative process. The proposed method might fill a gap in the current literature, where existing iterative methods either lack explicit parameter optimization or struggle with high wave numbers and large damping constants in the complex Helmholtz equation. …”
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Algorithms for calculation damage processes by Aleksandr Dmitrievich Nikitin, Nikolay G. Burago, Ilia S. Nikitin, Boris A. Stratula

“…Implicit schemes are implemented using iterations of the conjugate gradient method, with the calculation of each iteration exactly coinciding with the calculation of the time step for two-layer explicit schemes. …”
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A Design Process Framework and Tools for Teaching and Practicing Biomimicry by Benjamin Linder, Jean Huang

“…We pair this framework with two process tools that make biomimicry design moves explicit for learners, educators, and practitioners. …”
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Creating a Usable and Effective Digital Intervention to Support Men to Test for HIV and Link to Care in A Resource-Constrained Setting: Iterative Design Based on A Person-Based App... by Anya Zeitlin, Thulile Mathenjwa, Thembelihle Zuma, Sally Wyke, Philippa Matthews, Nuala McGrath, Janet Seeley, Maryam Shahmanesh, Ann Blandford

“…However, it does not explicitly describe the iterative stages of design and evaluation that are essential in moving from early planning to deployment. …”
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A Novel Exploration of Diffusion Process Based on Multi-Type Galton–Watson Forests by Yanjiao Zhu, Qilin Li, Wanquan Liu, Chuancun Yin, Zhenlong Gao

“…With the two-phase setting of the MGWF, one can interpret the diffusion process and the Google PageRank system explicitly. …”
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Assessing a community health center-driven process for engaging with translational scientists: What will it take? by Tracy A. Battaglia, Kareem I. King, Allyson Richmond, Erika Christenson, Rebecca Lobb, Astraea Augsberger, Celia Bora, Stephen M. Tringale, Linda Sprague Martinez, Charles T. Williams

“…These lessons drive an iterative process to improve the longitudinal relationship between our translational research program and our CHC partners.…”
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Translational framework for implementation evaluation and research: implementation strategies derived from normalization process theory by Carl R. May, Alyson Hillis, Bianca Albers, Laura Desveaux, Anthony Gilbert, Melissa Girling, Roman Kislov, Anne MacFarlane, Frances S. Mair, Sebastian Potthoff, Tim Rapley, Tracy L. Finch

“…While widely used taxonomies such as ERIC and EPOC have emerged from consensus exercises, few implementation strategies are explicitly derived from theory and tested against empirical data. …”
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Supplementing the Build Activity in Design Science Research with Soft Systems Methodology: A Technique of Creating Frameworks for Guiding Interventions Against Unstructured Problem... by Agnes Nakakawa, Fiona P. M. Tulinayo, Geoffrey O. Tabo, Patrick van Bommel, Hans B. F. Mulder, Henderik A. Proper

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Shuffled Frog-Leaping Algorithm Metaheuristic for Extractive Single- Document Summarization by Juan-David Yip-Herrera, Martha-Eliana Mendoza-Becerra

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Parallel Jacobian Computation Based on Distance-2 Algorithm and Its Application in Coupling Problems by LIU Lixun, ZHANG Han, PENG Xinru, DOU Qinrong, WU Yingjie, GUO Jiong, LI Fu

“…Color reset: Reset columns with color conflicts, waiting for recoloring in the next iteration. The entire iteration process continues until each column is correctly colored. …”

The "Power Elite" and Environmental-Energy Policy in Japan by Iida Tetsunari, Andrew DeWit

“…Surely Japan, a shrinking presence on the international stage and desperate to pump up its soft power, would not junk a treaty that earned the country valuable "global brand recognition" with each iteration of "Kyoto." Yet Arima's announcement was confirmed the next day by a decision of the Japanese cabinet.In the event, the Cancun conference decided to table decisions on whether to extend the Kyoto process to the December 2011 COP meeting in Durban, South Africa. …”
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Optimal estimation of cloud properties from thermal infrared observations with a combination of deep learning and radiative transfer simulation by H. Huang, Q. Wang, C. Liu, C. Zhou

“…In the new algorithm, retrievals from a machine learning algorithm are used to provide a priori states for the iterative process of the OE method, and an RTM is used to create radiance lookup tables that are used in the iteration processes. …”
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Enhancing chemical reaction search through contrastive representation learning and human-in-the-loop by Youngchun Kwon, Hyunjeong Jeon, Joonhyuk Choi, Youn-Suk Choi, Seokho Kang

“…The proposed method simplifies the search process, offering an alternative to the complexity of formulating explicit query rules. …”
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The Hessian by blocks for neural network by backward propagation by Radhia Bessi, Nabil Gmati

“…This method uses the Hessian matrix to guide the optimization process but increases the computational cost at each iteration. …”
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On Unification of the Strong Convergence Theorems for a Finite Family of Total Asymptotically Nonexpansive Mappings in Banach Spaces by Farrukh Mukhamedov, Mansoor Saburov

“…We unify all known iterative methods by introducing a new explicit iterative scheme for approximation of common fixed points of finite families of total asymptotically I-nonexpansive mappings. …”
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A Dual-Template Prompted Mutual Learning Generative Model for Implicit Aspect-Based Sentiment Analysis by Zhou Lei, Yawei Zhang, Shengbo Chen

“…Specifically, this paper designs a dual template based on prompt learning and, at the same time, develops a mutual learning information enhancement module to guide each generated training process to interact with iterative information. Secondly, in the decoding stage, a label marking the interactive learning module is added to share the explicit emotional expression in the sequence, which can enhance the ability of the model to capture implicit emotion. …”
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Stochastic Gradient Descent for Kernel-Based Maximum Correntropy Criterion by Tiankai Li, Baobin Wang, Chaoquan Peng, Hong Yin

“…Our work can fill the gap between optimization process and convergence during the iterations: the iterates need to converge to the global minimizer while the obtained estimator cannot ensure the global optimality in the learning process.…”
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