Study population
In this study, a total of 35 children with Ponseti-treated idiopathic clubfoot were included. All children were between the age of 5–9 years old. During consultation, the treating orthopaedic surgeon, who is specialized in…
Category: 7. Maths
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New robust two-parameter estimator for overcoming outliers and multicollinearity in Poisson regression model
One of the most popular biased estimators for handling multicollinearity recently is the two-parameter estimator, which Yang and Chang introduced54 and has been applied to many GLMs. Following Yang and Chang54, the Poisson two-parameter estimator…
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Thermodynamically consistent modeling of granular soils using physics-informed neural networks
Khatti, J., Khanmohammadi, M. & Fissha, Y. Prediction of time-dependent bearing capacity of concrete pile in cohesive soil using optimized relevance vector machine and long short-term memory models. Sci. Rep. 14(1), 32047 (2024).
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Model-based exploration is measurable across tasks but not linked to personality and psychiatric assessments
Participants
We invited participants on the Prolific platform (prolific.com) who had completed at least 5 studies prior to participation, had an acceptance rate of at least 95%, were between the ages of 18 and 50, reported English as their primary…
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Testing for completions that simulate altruism in early language models
Hamilton, W. D. The genetical evolution of social behaviour. I. J. Theor. Biol. 7, 1–16 (1964).
Google Scholar
Hamilton, W. D. The genetical evolution of social behaviour. II. J….
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An efficient deep learning approach with frequency and channel optimization for underwater acoustic target recognition
In this section, we conduct two experiments to validate the efficiency and superiority of our proposed method. The first is an ablation experiment to verify the impact of key model components. The second is a comparative experiment to evaluate…
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Voltage faults diagnosis for lithium-ion batteries in electric vehicles using optimized graphical neural network
In the field of fault diagnosis and prediction, traditional deep neural network (DNN) methods typically focus on extracting unidimensional features from time series signals, while lacking systematic modeling of the spatial correlations between…
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A chaotic arithmetic optimization algorithm with Cauchy perturbation and differential evolution for engineering design problems
In this section, we comprehensively demonstrate the effectiveness of CDAOA from three aspects. First, the CDAOA is compared with AOA variants and other advanced meta-heuristic algorithms on 16 benchmark functions. Second, the superiority of CDAOA…
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Sparse point annotations for remote sensing image segmentation
Experiment setup
To evaluate the performance of the proposed method, we conducted extensive experiments on the Potsdam and Vaihingen datasets69. This section is organized as follows. We begin by introducing the datasets and describing the…
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Interpretable multitask deep learning model for detecting and analyzing severity of rice bacterial leaf blight
Rice cultivation is the backbone of agro-based economies around the world. It is essential for the food and economic well-being of people in regions such as southern India, which are engaged in significant rice production. However, several…
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