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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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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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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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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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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Transient Stability Assessment of Graph Attention Networks Considering Data Missing by Shengcun ZHOU, Yi LUO, Xuancheng YI, Yaning WU, Ding LI, Yi XIONG

“…The performance of the transient stability assessment model based on artificial intelligence is highly dependent on the observability of the system, while the factors such as communication delays and PMU faults can easily lead to data missing, which degrades the model's assessment performance. …”
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Missed nursing care and related factors: a cross-sectional study by Rahimeh Khajoei, Mohadeseh Balvardi, Tayebeh Eghbali, Mahboubeh Sadat Yousefi, Mansooreh Azizzadeh Forouzi

“…Abstract Background Nurses facing numerous responsibilities in hospitals are often forced to prioritize nursing care. Missed nursing care affects nurses’ ability to effectively manage, oversee, and assess patient care interventions and may contribute to unfavorable patient outcomes. …”
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A test to measure students' systems thinking abilities in geography by Marjolein COX, Jan ELEN, An STEEGEN

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A test to measure students' systems thinking abilities in geography by Marjolein COX, Jan ELEN, An STEEGEN

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Missing cell types in single-cell references impact deconvolution of bulk data but are detectable by Adriana Ivich, Natalie R. Davidson, Laurie Grieshober, Weishan Li, Stephanie C. Hicks, Jennifer A. Doherty, Casey S. Greene

“…Abstract Background Advancements in RNA sequencing have expanded our ability to study gene expression profiles of biological samples in bulk tissue and single cells. …”
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Navigating the unstructured by evaluating alphafold's efficacy in predicting missing residues and structural disorder in proteins. by Sen Zheng

“…Utilizing a comprehensive dataset from the Protein Data Bank (PDB), residues were categorized as "modeled", "hard missing" and "soft missing" based on their visibility in structural datasets. …”
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Serum levels of magnesium in sudden cardiac deaths among people with schizophrenia: hit or miss? by Fulvio A. Scorza, Marly de Albuquerque, Ricardo M. Arida, Roberta Monterazzo Cysneiros

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An ensemble learning strategy for multi‐source hydrogen embrittlement data by introducing missing information by Xujie Gong, Ruichao Lei, Ruize Sun, Xue Jiang, Yanjing Su, Yu Yan

“…In this study, we proposed an ensemble learning training strategy for missing data based on the Adaboost algorithm. This method introduced a mask matrix with missing data and enabled each round of training to generate sub‐datasets, considering missing value information. …”
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