Uncovering mangrove range limits using very high resolution satellite imagery to detect fine‐scale mangrove and saltmarsh habitats in dynamic coastal ecotones by Cheryl L. Doughty, Kyle C. Cavanaugh, Samantha Chapman, Lola Fatoyinbo

“…Overall, VHR satellite imagery improved our ability to map mangroves at range limits and can help supplement moderate‐resolution global distributions and outdated regional maps.…”
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A first-of-its-kind two-body statistical shape model of the arthropathic shoulder: enhancing biomechanics and surgical planning by Justin Blackman, Joshua W. Giles

“…The models were validated using compactness, specificity, generalization ability, and leave-one-out cross-validation. The modes of variation for each model were also compared. …”
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Screening for cognitive symptoms in dialysis patients with an extended version of Kidney Disease Quality of Life Cognitive Function subscale (KDQOL-CF): a validation study by Frederick H. F. Chan, Pearl Sim, Phoebe X. H. Lim, Behram A. Khan, Jason C. J. Choo, Konstadina Griva

“…., “How much of the time during the past four weeks did you have memory difficulties?”) to improve its ability to capture memory impairments that are common in dialysis patients but missing in the original scale. …”
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Validating genomic predictions for economic traits in purebred US dairy heifers by Sajjad Toghiani, Paul M. VanRaden, Daniel J. Null, Asha M. Miles, Curtis P. Van Tassell

“…However, due to timing or recording patterns, each trait had missing or incomplete PDEV data, leading to unbalanced distributions of records across traits. …”
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Development of a predictive tool for long-term prognosis in clear cell adenocarcinoma of the cervix: a large population-based real-world study by Yanhong Wang, Yanhong Wang, Yanhong Wang, Yi Ouyang, Yiping Chen, Zhigang Bai, Xinping Cao, Qunrong Cai, Qin Xu

“…Our study aimed to develop and validate a nomogram to estimate overall survival in CCAC patients.MethodsWe collected data on 630 CCAC patients from the Surveillance, Epidemiology, and End Results (SEER) database (2000–2021). Missing clinicopathological data were imputed using the missForest package. …”
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Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care by Bengie L Ortiz, Vibhuti Gupta, Rajnish Kumar, Aditya Jalin, Xiao Cao, Charles Ziegenbein, Ashutosh Singhal, Muneesh Tewari, Sung Won Choi

“…Cleaning methods focused on enhancing data reliability by handling artifacts like missing values, outliers, and inconsistencies. …”
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Diagnosing upper tract urothelial carcinoma: A review of the role of diagnostic ureteroscopy and novel developments over last two decades by Paul Gravestock, Daniel Cullum, Bhaskar Somani, Rajan Veeratterapillay

“…Results: Diagnostic ureteroscopy is undeniably useful in its ability to visualise and biopsy indeterminate lesions, and to risk stratify malignant lesions that may be suitable for kidney sparing surgery. …”
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Orbital-Radar v1.0.0: a tool to transform suborbital radar observations to synthetic EarthCARE cloud radar data by L. Pfitzenmaier, P. Kollias, P. Kollias, N. Risse, I. Schirmacher, B. Puigdomenech Treserras, K. Lamer

“…We demonstrate Orbital-Radar's ability to provide realistic CPR views of typical cloud and precipitation scenes. …”
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YOLO-LPSS: A Lightweight and Precise Detection Model for Small Sea Ships by Liran Shen, Tianchun Gao, Qingbo Yin

“…The characteristics of YOLO-LPSS are as follows: (1) Strengthening the backbone’s ability to extract and emphasize features relevant to small ship objects, particularly in semantic-rich layers. (2) A sophisticated, learnable method for up-sampling processes is employed, taking into account both deep image information and semantic information. (3) Introducing a post-processing mechanism in the final output of the resampling process to restore the missing local region features in the high-resolution feature map and capture the global-dependence features. …”
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Remote sensing image Super-resolution reconstruction by fusing multi-scale receptive fields and hybrid transformer by Denghui Liu, Lin Zhong, Haiyang Wu, Songyang Li, Yida Li

“…Abstract To enhance high-frequency perceptual information and texture details in remote sensing images and address the challenges of super-resolution reconstruction algorithms during training, particularly the issue of missing details, this paper proposes an improved remote sensing image super-resolution reconstruction model. …”
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Autonomous robotic system-assisted trans-inferior alveolar nerve implantation for patient diagnosed with pemphigoid: a case report by Mucong Li, Huixin Lv, Yidi Zhang, Xiuyu Liu, Kewen Jia, Jiaqian You, Siyu Chen, Yanmin Zhou

“…Case presentation A 35-year-old female patient with pemphigoid presented with multiple missing posterior mandibular teeth requested dental implants. …”
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Research on multi dimensional feature extraction and recognition of industrial and mining solid waste images based on mask R-CNN and graph convolutional networks by Shuqin Wang, Na Cheng, Yan Hu

“…Abstract Aiming at the problems of traditional methods for multi-dimensional feature extraction of industrial and mining solid waste images, such as single feature extraction, difficult fusion, missing high-order features, weak generalization ability and low computational efficiency, an innovative solution combining Mask R-CNN with Graph Convolutional Networks (GCN) was proposed to achieve automatic, multi-dimensional and efficient feature extraction. …”
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High-Precision 3D Reconstruction in Complex Scenes via Implicit Surface Reconstruction Enhanced by Multi-Sensor Data Fusion by Quanchen Zhou, Jiabao Zuo, Wenhao Kang, Mingwu Ren

“…., multiple cameras or a combination of cameras and depth sensors), our proposed framework alleviates the issue of missing or partial data and further increases reconstruction fidelity. …”
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Le voyage de Théophile Gautier en Égypte ou les leçons d’un « accident de parcours » by Alain Guyot

“…Even the report of the inauguration is missing, whereas he could attend it after having built up his strength. …”
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A strategy for recovering continuous behavioral telemetry data from Pacific walruses by Anthony Fischbach, Chadwick V. Jay

“…Data collected by these tags from Pacific walruses across their range during 2007–2015 demonstrated the consistency of foraging behavior collected by this strategy with data collected by data logging tags; and demonstrated the ability to collect geospatial behavioral chronologies with minimal missing data where recovery of data logging tags is precluded. …”
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Analysis method and experimental conditions affect computed circadian phase from melatonin data. by Hadassa Klerman, Melissa A St Hilaire, Richard E Kronauer, Joshua J Gooley, Claude Gronfier, Joseph T Hull, Steven W Lockley, Nayantara Santhi, Wei Wang, Elizabeth B Klerman

“…To determine which method provides the most accurate assessment of circadian phase, we compared the ability to fit the data and the variability of phase estimates for seventeen different markers of melatonin phase derived from these methodological categories. …”
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Polynomial modelling of high-quality yet incomplete rare earth element data sets and a holistic assessment of REE anomalies by David M. Ernst, Joachim Vogt, Michael Bau, Malte Mues

“…We use a polynomial modelling approach to impute missing REE data, verify the method’s applicability with a large data set (>13,000 samples; PetDB), and complement three originally incomplete REE data sets. …”
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Advancing Life Cycle Assessment of Sustainable Green Hydrogen Production Using Domain-Specific Fine-Tuning by Large Language Models Augmentation by Yajing Chen, Urs Liebau, Shreyas Mysore Guruprasad, Iaroslav Trofimenko, Christine Minke

“…Challenges in LCA, like missing environmental data, are often addressed using machine learning, such as artificial neural networks. …”
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Deep Learning based Individual Cattle Face Recognition using Data Augmentation and Transfer Learning by Caner Koç, Kamil Ekinci, Ömer Ertuğrul, Dilara Gerdan Koc, Havva Eylem Polat

“…The process of identifying individual animals can be hindered by ear tags that fall off, and the ability to identify them over a long period of time becomes impossible when tags are missing. …”
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Messy Data in Education: Enhancing Data Science Literacy Through Real-World Datasets in a Master’s Program by Iraklis Varlamis

“…Through these assignments, students are tasked with not only applying algorithmic tools but also addressing challenges like missing information, noisy inputs, and inconsistencies. …”
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