Missing Meals and Missed Rides: Transportation Barriers to Food Access for Vulnerable Populations by Laura M. Keyes, Jintak Kim, Sowmya Balachandran, Sara Kuttler, Simon Andrew

“…One-third of respondents missed grocery trips due to a lack of affordable transportation. …”
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High Mobility Group Box-1: A Missing Link between Diabetes and Its Complications by Han Wu, Zheng Chen, Jun Xie, Li-Na Kang, Lian Wang, Biao Xu

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Erratum: Correction of missing funding information. A new phantom to evaluate the tissue dissolution ability of endodontic irrigants and activating devices by Kimia Khoshroo, Brinda Shah, Alexander Johnson, John Baeten, Katherine Barry, Mohammadreza Tahriri, Mohamed S. Ibrahim, Lobat Tayebi

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Distributed H∞ Consensus Filtering for Parabolic Distributed Parameter Systems with Multiple Missing Measurements: A Mobile Sensing Approach by Xueming Qian, Baotong Cui

“…In a framework of optimizing performance, a new approach to improving filter performance is proposed by employing mobile sensor networks. Moreover, the information missing in mobile sensor networks is modeled as a conditional probability distribution. …”
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How mobile phone addiction leads to college students’ learning burnout: the role of depression as a mediator and fear of missing out as a moderator by Tianxiang Song, Hongze Zhu, Kaixu Yang, Wenhao Chang, Wenhao Chang, Jianchao Ni

Subjects: “…mobile phone addiction…”
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Implications of Public Disclosure of Personal Information in a Mobile Alert App for People Living With Dementia Who Go Missing: Qualitative Descriptive Study by Adebusola Adekoya, Christine Daum, Noelannah Neubauer, Antonio Miguel-Cruz, Lili Liu

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MobileNetV3: an efficient deep learning-based feature selection and classification technique for cardiovascular disease by B. Dhanalaxmi, B. Naveen Kumar, Yeligeti Raju, Rama Seshagiri Rao Channapragada

Subjects: “…MobileNetV3…”
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Is it possible to encourage TB testing and detect missing TB cases via community-level promotion of a self-screening mobile application?... by Ronelle Burger, Matthias Rieger, Kate Rich, Deanne Goldberg, Harry Moultrie

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Identifying Missing and Spurious Interactions in Directed Networks by Xue Zhang, Chengli Zhao, Xiaojie Wang, Dongyun Yi

“…Compared with it, how to identify missing and spurious interactions in directed networks has received less attention and still is not well understood. …”
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A Miss Kayapó: ritual, espetáculo e beleza by André Demarchi

“…The final proposal is to understand the ritual production of Miss Kayapó as a complex character, who holds the ability to embody different aesthetic perspectives.…”
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Missingness-aware prompting for modality-missing RGBT tracking by Guyue Hu, Zhanghuan Wang, Chenglong Li, Duzhi Yuan, Bin He, Jin Tang

“…In this paper, we propose a novel missingness-aware prompting framework (MAP) for modality-missing RGBT tracking. …”
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Visual detection of screen defects in occlusion and missing scenes by YIN Dongfu, DU Mingchen, HU Tianhao, LI Youming, ZHANG Xiaohong, YU Fei Richard

“…The modules for mobile phone screen detection, occlusion detection, missing detection, and screen content change detection are established in this system. …”
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Evaluating Performance of Missing Data Imputation Methods in IRT Analyses by Ömür Kaya Kalkan, Yusuf Kara, Hülya Kelecioğlu

“…Missing data is a common problem in datasets thatare obtained by administration of educational and psychological tests. …”
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Cardiac disease diagnosis based on GAN in case of missing data. by Xing Chen, Na Zhang, Xiaohui Yang, Chunyan Wang, Qi Na, Tianyun Luan, Wendi Zhu, Chenjie Zhang, Chao Yang

“…To address the issue of discrete missing data in cardiac disease, this paper proposes the AGAN (Attribute Generative Adversarial Nets) architecture for missing data filling, based on generative adversarial networks. …”
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Missing data imputation of climate time series: A review by Lizette Elena Alejo-Sanchez, Aldo Márquez-Grajales, Fernando Salas-Martínez, Anilu Franco-Arcega, Virgilio López-Morales, Otilio Arturo Acevedo-Sandoval, César Abelardo González-Ramírez, Ramiro Villegas-Vega

“…On the other hand, methods such as mean techniques, simple and multiple linear regression, interpolation, and Principal Component Analysis (PCA) were the conventional statistical techniques used for imputing missing data. Furthermore, artificial neural networks demonstrated the ability to identify complex patterns in the data. …”
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Machine learning approaches for imputing missing meteorological data in Senegal by Mory Toure, Nana Ama Browne Klutse, Mamadou Adama Sarr, Md Abul Ehsan Bhuiyan, Annine Duclaire Kenne, Wassila Mamadou Thiaw, Daouda Badiane, Amadou Thierno Gaye, Ousmane Ndiaye, Cheikh Mbow

“…RF yielded comparable performance, especially for maximum and minimum temperature (TMAX, TMIN), maintaining strong stability even at 20 % missingness. In contrast, DT performance declined sharply with increased data loss, and OK was constrained by the sparse spatial distribution of meteorological stations, notably impairing its ability to impute precipitation (PRCP) and wind speed (WDSP).This work contributes a multivariable imputation framework specifically adapted to West African climatic and infrastructural realities. …”
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Learning the Hit-or-Miss Transform-Based Morphological Neural Networks by Muhammad Aminul Islam, Sireesha Chimbili

“…In particular, the piecewise linear hit-or-miss transform improved the baseline accuracy for Cifar-10 by 10.7%.…”
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KFCM-PSOTD : An Imputation Technique for Missing Values in Incomplete Data Classification by Muhaimin Ilyas, Syaiful Anam, Trisilowati Trisilowati

“…Data preprocessing is the crucial data mining steps. The existence of missing values in the data is one of the primary issues with data preprocessing. …”
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White blood cell Indices to predict first trimester missed miscarriage by Esraa Hameed Humadi, Hana,a Asa,ad Maki

“…With respect to gestational age, neutrophil-to-lymphocyte ratio and monocyte-to-lymphocyte ratio had a fair ability to predict missed miscarriage at various time points within the first trimester (p<0.05). …”
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Beyond minutiae: inferring missing details from global structure in fingerprints by Rachel A. Searston, Matthew B. Thompson, Samuel G. Robson, Jason M. Tangen

“…We compare expert and novice performance on two tasks: inferring the missing details of a print at an artificial blank spot (Experiment 1) and identifying the missing surrounds of a print given only a small fragment of visual detail (Experiment 2). …”
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