A Novel Attention-Guided Enhanced U-Net With Hybrid Edge-Preserving Structural Loss for Low-Dose CT Image Denoising by Muhammad Zubair, Helmi Md Rais, Talal Alazemi

“…The proposed model undergoes iterative training, using a custom loss function to refine its parameters and improve CT image denoising progressively. …”
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The Sustainability of Knowledge-Sharing Behavior Based on the Theory of Planned Behavior in Q&A Social Network Community by Xin Feng, Lijie Wang, Yue Yan, Qi Zhang, Liming Sun, Jiangfei Chen, Ye Wu

“…With the update and iteration of Internet technology, the socialized Q&A (question-and-answer) platform realizes the cross-border dissemination of knowledge with the main purpose of disseminating and sharing knowledge. …”
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Microcrack feature extraction method for chaotic optical surface of silicon nitride ceramic bearing roller based on multi-scale wavelet transform enhancement and optimized PSO-FCM... by Yi Jiang, Mengtao Tang, Wenjie Dong, Guoxing Tang, Weiwen Hu, Jiao Li

“…The nonlinear decayed particle velocity equation is constructed to update the particle position and iteratively refine the optimal clustering center positions to realize the feature extraction of microcracks. …”
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Transforming traffic accident investigations: a virtual-real-fusion framework for intelligent 3D traffic accident reconstruction by Yanzhan Chen, Qian Zhang, Fan Yu

“…Furthermore, the proposed MIPDBO algorithm exhibits a remarkably fast convergence rate, requiring only 3–5 iterations to identify well-performing parameters and achieve a high $${R}^{2}$$ R 2 value of 0.8 on a benchmark cluster problem. …”
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Global stellarator coil optimization with quadratic constraints and objectives by Lanke Fu, Elizabeth J. Paul, Alan A. Kaptanoglu, Amitava Bhattacharjee

“…Integrating it in the equilibrium optimization stage can potentially exclude equilibria with difficult-to-design coils, without significantly increasing the computation time per iteration. QUADCOIL finds the exact, global minimum in a large parameter space when possible, and otherwise finds a well-performing approximate global minimum. …”
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A Framework of Recommendation System for Unmanned Aerial Vehicle Autonomous Maneuver Decision by Qinzhi Hao, Tengyu Jing, Yao Sun, Zhuolin Yang, Jiali Zhang, Jiapeng Wang, Wei Wang

“…Notably, the prioritized experience replay deep deterministic policy gradient (PER-DDPG) algorithm, employing dense rewards and continuous actions, demonstrated superior performance, achieving a 69% success rate in confrontational scenarios against a versatile expert algorithm after 1000 training iterations, marking an 80% reduction in training time compared to conventional reinforcement learning methods. …”
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Implementing Dementia Care Mapping in Dementia Care: A Narrative Realist Literature Review by Andreia Fonseca de Paiva, Ana Barbosa, Lindsey Collins, Siobhan Reilly

“…Method: A realist review was conducted using an iterative, stakeholder-driven, two-stage approach. …”
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ED‐ConvLSTM: A Novel Global Ionospheric Total Electron Content Medium‐Term Forecast Model by Guozhen Xia, Fubin Zhang, Cheng Wang, Chen Zhou

“…The ED‐ConvLSTM model is used to forecast TEC maps 1–7 days in advance through iterations. To investigate the model's performance, we compared the model with International Reference Ionosphere (IRI2016) model in 2014 and 2018, and compared the model with 1‐day Beijing University of Aeronautics and Astronautics (BUAA) model in 2018. …”
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Deep learning powered single-cell clustering framework with enhanced accuracy and stability by Yi Zhang, Xi Feng, Yin Wang, Kai Shi

“…Furthermore, scG-cluster iteratively refines the clustering centers, leading to enhanced stability and accuracy in the final cluster assignments. …”
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CDSS-Pan: Convolutional Dictionary Learning With State Space Model for Pansharpening by Zixu Li, Jintao Song, Genji Yuan, Jinjiang Li

“…Subsequently, we continuously iterate and optimize the network parameters using the approximate gradient algorithm. …”
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Nutritional interventions to prevent and reduce overweight and obesity during postacute stroke rehabilitation: a scoping review protocol by Dorthe Sørensen, Lena Aadal, Mette Nørtoft

“…Two independent reviewers will conduct an iterative process for screening the identified literature, paper selection and data extraction. …”
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Unveiling the hidden burden: Exploring the psychosocial impact of cutaneous leishmaniasis lesions and scars in southern Ethiopia. by Behailu Merdekios, Misgun Shewangizaw, Abebayehu Sappo, Eshetu Ewunetu, Johan van Griensven, Jean-Pierre van Geertruyden, Melissa Ceuterick, Hilde Bastiaens

“…The analysis combined inductive and deductive approaches through an iterative process, developing a coding framework with seven themes (lesion & CL scar each) and subthemes, resulting in giving important insights in the psychosocial impacts of CL. …”
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Robust Identification of Vegetation Change Using Shapelet-Based Temporal Segmentation of Landsat Time-Series Stacks: A Case Study in the Qilian Mountains by Lipeng Jiao, Randolph H. Wynne

“…A temporal sliding window-based anomaly checking procedure is applied to the annual maximum composite of spectral vegetation indices in the growing season to remove the unmasked clouds, cloud shadows, and other temporary changes. Then, an iterative shapelet searching algorithm is performed on each given time series trajectory to filter out all atypical subseries. …”
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The Performance Study on the Long-Span Bridge Involving the Wireless Sensor Network Technology in a Big Data Environment by Liwen Zhang, Chao Zhang, Zhuo Sun, You Dong, Pu Wei

“…The PSO-BP neural network model converges to the set critical error after it is iterated to the 226th generation, while the other two neural network models are not converged. …”
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Multi mode coordinated control algorithm for DC near-field photovoltaic based on adaptive mutation particle swarm optimization by Hua Weng, Weijun Zhu, Jun Wu

“…The experimental data shows that the optimized control parameters of the algorithm significantly enhance the dynamic response characteristics of the system, and its convergence speed is faster and its steady-state accuracy is higher. After 60 iterations, the control accuracy reached 98.15%, and the feature value near the virtual axis of the system was optimized from −1328 to −1.647. …”
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Lessons learned from implementation of the Workload Indicator of Staffing Need (WISN) methodology: An international Delphi study of expert users. by Grace , Nyendwoha Namaganda, Audrey, Whitright, Everd, Bikaitwoha Maniple

“…We sent three email iterations to 23 purposively selected WISN expert users across 21 countries in five continents. …”
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Second Trimester Abortion: A Dilation and Evacuation Simulation for Gynecologic Surgery and Obstetrics Residents by Kiley Hunkler, David Boedeker, Elizabeth Gill, Katelyn Simpkins, Katerina Shvartsman, Jill Brown, Sara Drayer

“…Consistency between iterations was maintained with use of standardized prompts and lectures. …”
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Mental health in people living with and beyond colorectal cancer: A patient‐oriented constructivist grounded theory by Vicki Cheng, Helen McTaggart‐Cowan, Jonathan M. Loree, Rachel A. Murphy, Mikaela Barnes, Haydn Bechthold, Norman Jansen, Mary A. De Vera

“…Data collection and analysis were iterative, employed theoretical sampling, and culminated in a theoretical model. …”
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Determinants of readiness to implement forensic patient-oriented research: a study of barriers and facilitators in a high-secure hospital by Cara Evans, Cara Evans, Sevil Deljavan, Kayla Zimmermann, Kayla Zimmermann, Kristy Allen, Elnaz Moghimi, Christopher Canning, Christopher Canning

“…Coding was initially informed by the Consolidated Framework for Implementation Research, and subsequent iterations of analysis extended beyond this framework to explore patterns of meaning encompassing multiple implementation domains.ResultsWe identified three themes in our data: “Navigating a climate of distrust, discrimination, and restricted autonomy”; “Hearing and interpreting patient voices”; and “Experiencing a slow shift in the tide.” …”
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Science-based communication and education needed to improve forest carbon science, policy, and management outcomes by Chad C Papa, Kylie Clay, Lauren T Cooper, Scott C Stark

“…Engagement with forestry stakeholders and iterative and participatory approaches, including targeted education and communication of complex scientific topics, can inform both policy and on-the-ground management. …”
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