How to cross the line: design principles for interdisciplinary education [version 2; peer review: 2 approved, 2 not approved] by Enny Das, Jessica Oudenampsen, Marjolein van de Pol, Nicole Blijlevens

“…The current study presents the iterative development, pilot, and implementation of an interdisciplinary course in healthcare communication. …”
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Stigating Newton's Interpolation and Lagrange Method Compared to Runge Kutt A Method in Solving First Order Differential Equations. by Gumisirlza, Catheline

“…A combination of Newton's interpolation and Lagrange is a simpler method to use since it has less iteration as compared to Runge Kutta's second order.…”
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The sense of safety theoretical framework: a trauma-informed and healing-oriented approach for whole person care by Johanna M. Lynch, Kurt C. Stange, Christopher Dowrick, Linn Getz, Pamela J. Meredith, Mieke L. Van Driel, Meredith G. Harris, Meredith G. Harris, Kate Tillack, Caley Tapp, Caley Tapp

“…ObjectivesThis research describes four aspects of the development of the Sense of Safety Theoretical Framework for whole person care: exploring the meaning of the phrase “sense of safety”—the whole person language; the range of human experience that impacts sense of safety—whole person scope; the dynamics that build sense of safety—the healing goals; and the personal and cross-disciplinary trauma-informed practitioner skills and attitudes that facilitate sense of safety.MethodsThis qualitative participatory study was conducted in two phases. Researchers iteratively explored the concept of sense of safety using focus groups and semi-structured interviews. …”
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Theoretical knowledge enhanced genetic algorithm for mine ventilation system optimization considering main fan adjustment by Wentian Shang, Jinzhang Jia

“…Comparative analysis with four other algorithms shows that, although this algorithm has a longer runtime due to the need to identify the minimum spanning tree during iterations, its ability to reduce problem dimensionality and improve population quality results in more stable and superior convergence performance, especially for large-scale mine ventilation systems. …”
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Efficacy of Hummel (Modified Schlumberger) Arrays of Vertical Electrical Sounding in Groundwater Exploration: Case Study of Parts of Ibadan Metropolis, Southwestern Nigeria by Micheal Oladunjoye, Solomon Jekayinfa

“…The field data were interpreted qualitatively by curve matching and computer iterative methods. Also, statistical analysis of subsurface units and the coefficient of correlation “R” of the statistical plots of the field data shows the relationship between the different arrays. …”
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Biosocial environmental faces of climate variability in health care: A systematic review by Fatemeh Zarei, Ehsan Arzroomchilar

“…Recommendations include bolstering the capacity of these systems, enhancing efficient and iterative risk management across all tiers, fostering collaboration across various sectors, formulating action plans, and making short- and long-term investments to enhance adaptability. …”
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Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

“…These approaches allow the loss function to more accurately converge in the neighborhood of the global minimum in a smaller number of iterations. The utilization of transformed positive-negative moment estimates and an additional parameter that controls the step size allows one to avoid local extremes for achieving higher performance, compared to similar methods. …”
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Oral English Auxiliary Teaching System Based on Deep Learning by Chenhui Qu, Yuanbo Li

“…According to the experimental results, two rounds of mixed-mode iterative loop design were performed for the mixed teaching mode. …”
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Comparison of Super Resolution Reconstruction Acquisition Geometries for Use in Mouse Phenotyping by Niranchana Manivannan, Bradley D. Clymer, Anna Bratasz, Kimerly A. Powell

“…In this study, the effects of using three different low-resolution acquisition geometries (orthogonal, rotational, and shifted) on SRR images were evaluated and compared to a known standard. Iterative back projection was used for the reconstruction of all three acquisition geometries. …”
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A new -means singular value decomposition method based on self-adaptive matching pursuit and its application in fault diagnosis of rolling bearing weak fault by Hongchao Wang, Wenliao Du

“…To overcome the above-mentioned shortcomings of K -means singular value decomposition, a new K -means singular value decomposition sparse representation method based on traditional K -means singular value decomposition method was proposed in this article, which uses the sparse adaptive matching pursuit algorithm and an iterative method based on the minimum similarity of atomic structure. …”
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Unsaying: Mystical Aspiration and Negativity in Paul Auster’s Poetry by François Hugonnier

“…Cependant, ses écrits, dans leur itération même, tendent paradoxalement à révéler la force créatrice de la poesis. …”
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Study of social tension based on electronic social networks big data by A. A. Grebenyuk, A. S. Maksimova, L. G. Lemer

“…Another difference of the proposed approach is the possibility of multiple repetitions of calculations with minimal, in contrast to the sociological method, the cost of additional resources for each subsequent iteration of the calculation of the indicator value.…”
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The Application of PSO in Structural Damage Detection: An Analysis of the Previously Released Publications (2005–2020) by Parsa Ghannadi, Seyed Sina Kourehli, Seyedali Mirjalili

“…Using these methods, an objective function is minimized by an optimization algorithm during an iterative procedure. The performance of optimization algorithms has a significant impact on the accuracy of damage identification methodology. …”
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TEC Map Completion Through a Deep Learning Model: SNP‐GAN by Yang Pan, Mingwu Jin, Shunrong Zhang, Yue Deng

“…Meanwhile, the end‐to‐end styled generator of SNP‐GAN saves time in the map completion step by avoiding iterative mapping used in DCGAN‐PB. Both deep learning methods not only preserve the large‐scale TEC structures well, but also reveal mesoscale (100–1,000 km) TEC structures that are missing in IGS‐TEC. …”
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Probabilistic Prediction of Dst Storms One‐Day‐Ahead Using Full‐Disk SoHO Images by A. Hu, C. Shneider, A. Tiwari, E. Camporeale

“…This work presents a novel methodology to train the individual models and to learn the optimal ensemble weights iteratively, by using a customized class‐balanced mean square error (CB‐MSE) loss function tied to a least‐squares based ensemble. …”
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基于超声CT成像的钢-混凝土组合结构界面损伤识别研究 by 李修权, 孔庆钊, 陈琳, 任耀军, 许斌, 陈洪兵

“…基于所建立的正演数值模型和反演分析，系统性研究了Back Projection Technique （BPT），Algebra Reconstruction Technique （ART），Simultaneous Iterative Reconstruction Technique （SIRT） 3种不同求解算法的成像精度。…”
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Performance of Machine Learning Classifiers for Diabetes Prediction by Mijala Manandhar, Shaikat Baidya, Babalpreet Kaur, Katia Atoji

“…For the Rules classifiers, JRip outperformed others due to its iterative rule optimization, whereas OneR's simplicity resulted in the lowest performance. …”
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High Performance 3D PET Reconstruction Using Spherical Basis Functions on a Polar Grid by J. Cabello, J. E. Gillam, M. Rafecas

“…Statistical iterative methods are a widely used method of image reconstruction in emission tomography. …”
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Development and Supervision of Robo-Advisors under Digital Financial Inclusion in Complex Systems by Wensheng Dai

“…Analyzing the performance of the improved K-means algorithm, in the operation of the experimental dataset B, the accuracy of the clustering result after 6 iterations reached 97.08%, which shows that the algorithm has good performance. …”
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High-Speed Target HRRP Reconstruction Based on Fast Mean-Field Sparse Bayesian Unrolled Network by Hang Dong, Fengzhou Dai, Juan Zhang

“…To reduce the performance loss caused by mismatched prior scale parameters, we unfold the limited FMFSBL iterative process into a deep network, learning the optimal global prior scale parameters through training. …”
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