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Supplemental material, sj-doc-1-aim-10.1177_09645284221146199 for Effect of acupuncture on brain functional networks in patients with mild cognitive impairment: an activation likelihood estimation meta-analysis by Rui Xia, Jinxin Ren, Mengyang Wang, Yiwen Wan, Yalan Dai, Xingjie Li, Zhuguo Wu and Shangjie Chen in Acupuncture in Medicine

Real-time path planning for mobile robots is a very difficult and challenging problem. A new method is proposed for path planning which connected intuitionistic fuzzy set (IFS)with biologically inspired neural network(BINN) in this paper. Firstly, the virtual target helps to improve the guidance of actual target to robot. Then, according to multiple attribute decision making, the assessment model based on IFS is established to measure the threats of obstacles to robot,. Further, a novel scanning mode is presented to reduce the calculations and accelerate neuron activation. Finally, The experimental results show that the proposed BINN based on assessment method can deal with the real-time path planning problem efficiently.

Mass spectrometry (MS) is an important technique in protein research. Effective classification methods by MS data could contribute to early and less-invasive diagnosis and also facilitate developments in the bioinformatics field. As MS data is featured by high dimension, appropriate methods which can effectively deal with the large amount of MS data have been widely studied. In this paper, the applications of methods based on intelligence algorithms have been investigated. Firstly, classification and biomarker analysis methods using typical machine learning approaches have been discussed. Then those are followed by the Ensemble strategy algorithms. Clearly, simple and basic machine learning algorithms hardly addressed the various needs of protein MS classification. Preprocessing algorithms have been also studied, as these methods are useful for feature selection or feature extraction to improve classification performance. Protein MS data growing with data volume becomes complicated and large; improvements in classification methods in terms of classifier selection and combinations of different algorithms and preprocessing algorithms are more emphasized in further work.