The growing challenge of autism spectrum disorder: a comprehensive review of etiology, diagnosis, and therapy in children by Chunyuan Wang, Hong Wang

“…In addition, we manually searched the bibliographies of the included studies to find articles that might otherwise have been missed. The search strategy was defined by identifying key terms from the research question related to ‘autism', and ‘etiology', ‘diagnosis' and ‘therapy'. …”
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The Fusion of Infrared and Visible Images via Feature Extraction and Subwindow Variance Filtering by Xin Feng, Haifeng Gong

“…This paper presents a subwindow variance filtering algorithm for fusing infrared and visible light images, with the goal of addressing challenges related to blurred details, low contrast, and missing edge features. First, images to be fused are subjected to multilevel decomposition using a subwindow variance filter, resulting in corresponding base and multiple detail layers. …”
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First-generation college students’ hope for change through counseling: a comparative study by Theodore T. Bartholomew, Candace Tsai, Lizbeth Valdivia-Jauregui, Alondra Alvarez Murillo, Angela Molina, Alejandro Morales

“…These differences are contextualized in barriers that first-generation college students endure: a lack of familiarity with educational institutions, hindered belongingness, financial difficulties, and others. Missing in the literature, however, is more attention to why first-generation college students may underutilize services compared to continuing-generation college students. …”
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Breast cancer ultrasound image segmentation using improved 3DUnet++ by Saba Hesaraki, Abdul Sajid Mohammed, Mehrshad Eisaei, Ramin Mousa

“…Volumetric ABUS examination is time-consuming, and lesions may be missed during the examination. Therefore, computer-aided cancer diagnosis in ABUS volume is highly expected to help the physician for breast cancer screening. …”
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RESEARCH ON FAULT DIAGNOSIS METHOD OF ROTATING MACHINERY BASED ON REFINED IMPROVED MULTISCALE FAST SAMPLE ENTROPY (MT) by ZHOU FuMing, LIU WuQiang, YANG XiaoQiang, SHEN JinXing, CHEN ZhaoYi

“…To solve the problems of low computational efficiency and missing amplitude information existing in the current multiscale sample entropy（MSE） method when extracting features of complex series, refined improved multiscale fast sample entropy（RIMFSE） is presented. …”
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Automatic Lane Line Detection System Based on Artificial Intelligence by Gaoqing Ji, Yunchang Zheng

“…Aiming at the problem that the YOLOv3 algorithm has low accuracy and high probability of missed detection when detecting lane lines in complex environments, a lane line detection method for improving YOLOv3 network structure is proposed. …”
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Development of a Brief Client Satisfaction and Quality Improvement Tool for Hospital-Based Violence Intervention Programs: Opportunities for Enhancing Client Perspectives by Rachel K. Myers PhD, MS, Hillary M. Kapa MPH, Stephanie M. Garcia MPH, Laura Vega DSW, LCSW, Joel A. Fein MD, MPH

“…Four former adolescent clients and 5 caregivers who received services participated in cognitive interviews to share interpretation of questionnaire items, improvements to response options, comfort responding, and missing topics. Participants demonstrated understanding of survey items and offered alternate wording to improve clarity, reduce redundancy, and clarify response options. …”
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Cognitive Radio Spectrum Sensing-Based QAM Technique Using Blockchain by D. Balakumar, S. Nandakumar

“…To address ambiguity, the M-ary QAM technique is provided, which increases aggregate effectiveness in terms of the percentage of false alarm (Pf) and probability of missed detection (Pm) by 5% at a comparable delay period. …”
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Synthetic graphs for link prediction benchmarking by Alexey Vlaskin, Eduardo G Altmann

“…Predicting missing links in complex networks requires algorithms that are able to explore statistical regularities in the existing data. …”
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Writing case reports and series: Tricks, traps, and triumphs! by Abraham Edgar Gracia-Ramos

“…They constitute uncontrolled study designs with different varieties that describe important scientific observations that are missed or undetectable in other research methods. …”
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Application of Sports Clustering Deconstruction Based on Neural Network by Xiaobing Ma

“…According to the experimental data obtained from the experimental test, people can know that the detection rate of the sports cluster analysis model is about 89.5%, and the average missed detection probability is about 5.5%.…”
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Global Information and Structure Tensor Guided Collaborative Representation for Anomaly Detection by Meiping Song, Zhenyu Guo, Lan Li, Shihui Liu, Haimo Bao, Jiakang Li

“…First, the global and local information are combined into the collaborative representation to obtain a more valuable background dictionary, preventing the big targets from being missed. Second, to address the problem that anomaly targets are susceptible to interference spectra, an improved structure tensor is introduced into the band selection and detection refining. …”
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Cognitive interviews on the Swedish occupational balance questionnaire by Petra Wagman, Linnea Karlsson, Nina Ekblad, Carita Håkansson

“…The interviews were analysed using a content analysis with an inductive approach.Results The analysis resulted in three main categories: ‘Difficulties understanding the items’ (with two subcategories), ‘Structure of the instrument’ (with four subcategories) and ‘Missed perspectives in the instrument’ (with four subcategories).Conclusions The participants considered the items and the instrument relevant for assessing occupational balance. …”
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Petrochemical Equipment Detection by Improved Yolov5 with Multiscale Deep Feature Fusion and Attention Mechanism by Zhenqiang Wei, Shaohua Dong, Xuchu Wang

“…In complex scenes, the accuracy and speed of petrochemical equipment detection would be limited because of the missing and false detection of equipment with extreme sizes, due to image quality, equipment scale, light, and other factors. …”
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Bayesian modeling of binomial experiments in sociology: problem analysis by A. A. Zvonok

“…The article is devoted to Bayesian modeling of simple comparative binomial experiments with binary data sets (of “hit” and “miss” format) in sociology and other social sciences. …”
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Quantitative Nondestructive Testing of Wire Ropes Based on Features Fusion of Magnetic Image and Infrared Image by Shiliang Lu, Juwei Zhang

“…However, the traditional MFL detection has the disadvantages of single source of information, low precision, easy to miss detection, and false detection. To solve these problems, we propose a method of fusion recognition of magnetic image features and infrared image features. …”
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Stroke Prediction Based on Machine Learning by Zhang Yuhan

“…Data preprocessing encompasses managing missing data, processing categorical variables, and tackling issues related to class imbalance. …”
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Wasserstein Non-Negative Matrix Factorization for Multi-Layered Graphs and its Application to Mobility Data by Hirotaka Kaji, Kazushi Ikeda

“…The graphs are analyzed using standard signal processing methods such as singular value decomposition and tensor analysis, which can estimate missing values. However, their feature extraction abilities are insufficient for optimizing mobility networks. …”
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The DNA Replication Stress Hypothesis of Alzheimer’s Disease by Yuri B. Yurov, Svetlana G. Vorsanova, Ivan Y. Iourov

“…Abnormal cell cycle reentry and somatic genome variations can be used for updating the cell cycle theory introducing replication stress as a missing link between cell genetics and neurobiology of AD.…”
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The Arctic and Antarctic Sea-Ice Area Index Records versus Measured and Modeled Temperature Data by Nicola Scafetta, Adriano Mazzarella

“…Because the CMIP5 GCM simulations are inconsistent with the observations, we suggest that important natural mechanisms of climate change are missing in the models.…”
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