A structural health monitoring data reconstruction method based on VMD and SSA-optimized GRU model by Xiaoliang Jia, Guoyan Zhang, Zhiqiang Wang, Huacong Li, Jing Hu, Songlin Zhu, Caiwei Liu

“…The data reconstruction method proposed in this study can accurately capture trends in missing data, without the need for manual hyperparameter tuning, and the reconstruction results are highly consistent with the real data.…”
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What are the hidden shortcomings of balance training research in older adults that prevent its transfer into practice? Scoping review. by Zuzana Kováčiková, Iveta Cimboláková, Marcel Čurgali, Jana Labudová, Erika Zemková

“…The identified shortcomings were as follows: missing a priori criteria for training session attendance and leisure-time physical activities, insufficiently described exercises and training load, and inappropriately chosen tests.…”
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Design of an integrated model with temporal graph attention and transformer-augmented RNNs for enhanced anomaly detection by Sai Babu Veesam, Aravapalli Rama Satish, Sreenivasulu Tupakula, Yuvaraju Chinnam, Krishna Prakash, Shonak Bansal, Mohammad Rashed Iqbal Faruque

“…We employ a Multimodal Variational Autoencoder-MVAE that fuses video, audio, and motion sensor information in a manner resistant to noise and missing samples. To address the challenge of having a few labeled anomalies, we apply the Prototypical Networks to perform few-shot learning and enable generalization based on a few examples. …”
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Machine Learning for Lung Cancer Subtype Classification: Combining Clinical, Histopathological, and Biophysical Features by Aiga Andrijanova, Lasma Bugovecka, Sergejs Isajevs, Donats Erts, Uldis Malinovskis, Andis Liepins

“…Various machine learning techniques were evaluated, with a focus on Bayesian Networks due to their ability to handle complex data with missing values. Leave-One-Out Cross-Validation was employed to assess model performance. …”
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Lessons learned in migrating from one commercial genetics clinical decision-making tool to another: Assessment of data integrity and utilization by Calvin Le, Kevin Tatunay, Wayne Liu, Haibo Lu, Nicole-Ann Rodis, Thomas Nam, Mercy Y. Laurino, Marianne E. Dubard-Gault

“…Of the 36 charts that were discordant, 9 had incorrect genetic testing results entered, 19 had missing information, 5 charts contained data recorded on paper before 2017 (legacy data), and 3 had additional information transferred. …”
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Morphology of 137 Fast Radio Bursts Down to Microsecond Timescales from the First CHIME/FRB Baseband Catalog by Ketan R. Sand, Alice P. Curtin, Daniele Michilli, Victoria M. Kaspi, Emmanuel Fonseca, Kenzie Nimmo, Ziggy Pleunis, Kaitlyn Shin, Mohit Bhardwaj, Charanjot Brar, Matt Dobbs, Gwendolyn M. Eadie, B.M. Gaensler, Ronniy C. Joseph, Calvin Leung, Robert Main, Kiyoshi W. Masui, Ryan Mckinven, Ayush Pandhi, Aaron B. Pearlman, Masoud Rafiei-Ravandi, Mawson W. Sammons, Kendrick Smith, Ingrid H. Stairs

“…Bursts with narrower envelopes (≤1 ms) in our sample exhibit higher flux densities, indicating the potential presence of submillisecond FRBs that are being missed by our real-time system below a brightness threshold. …”
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Social network sites (SNS) an archetype of techno-social stress: A systematic review by January F. Naga, Ryan A. Ebardo

“…Technological complexities often exacerbate social stressors like FoMO (Fear of Missing Out) and social overload, resulting in psychological (e.g., anxiety, depression), behavioral (e.g., reduced engagement), and physical strains (e.g., sleep disruptions). …”
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Research on Wood Defects Feature Imbalance Optimization and Recognition by Xiao Wang

“…An overall accuracy increase of 6.6% is achieved, the accuracy on live knot has an increase of 17%, and the missing rate of defects is decreased by 15%. Besides, generalization ability test indicates that new methods allow the classifier to have comparable accuracies on five additional datasets. …”
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Spatial Modeling of Travel Demand Accounting for Multicollinearity and Different Sampling Strategies: A Stop-Level Case Study by Samuel de França Marques, Cira Souza Pitombo, J. Jaime Gómez-Hernández

“…The main contributions are as follows: by accounting for the spatial heterogeneity of the predictor dataset, the GWPCA can identify the most important factor affecting transit ridership even in bus stops with no information on boarding and alighting; the spatial modeling of stop-level ridership data using GWPCA components as explanatory variables allows visualizing the spatially varying effects from predictors on ridership, supporting the land use planning at a local level; GWPCA coupled with kriging simultaneously addresses the multicollinearity of predictor data, its spatial heterogeneity, and the spatial dependence of the stop-level ridership variable, thus enhancing the goodness-of-fit measures of the transit ridership prediction in unsampled stops; and a balanced sample on predictor data and well-spread in the geographic space might be preferred to accurately estimate missing stop-level ridership data. In addition to solve the lack of stop-level ridership data, supporting a reliable bus system planning, the proposed method indicates what predictors should be addressed by policymakers to stimulate a transit-oriented development. …”
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Spatio-Temporal Segmented Traffic Flow Prediction with ANPRS Data Based on Improved XGBoost by Bo Sun, Tuo Sun, Pengpeng Jiao

“…Additionally, the accuracy of the XGBoost-I-lag is evaluated well in nonrecurrent conditions and missing cases with considerable running time. The experiment results indicate that the proposed framework is convincing, satisfactory, and computationally reasonable.…”
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Research Progress on Foot Deformity Assessment Methods of Children with Cerebral Palsy by ZHANG Xueyuan, MA Bingxiang, LI Huawei, KONG Yamin, LI Ruixing, XIE Kegong

“…If the foot deformity was not corrected for a long time, the muscles, fascia and ligament will change and contracture will occur, which can lead to secondary skeletal deformity, osteoarthritis of talocalcaneal, talonavicular and phalangeal joints, bony deformities of talocalcaneal joints and talonavicular joints, and miss the opportunity for passive traction correction. …”
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Association of socio-demographic characteristics, comorbidities, lifestyle habits, and saliva parameters with dental caries in adults with obesity by Virginie Chuy, Marie Mayoute, Maud Monsaingeon-Henry, Blandine Gatta-Cherifi, Élise Arrivé

“…Caries experience (number of decayed, missing, and filled teeth [DMFT]), periodontal status, oral hygiene, occlusal tooth wear, masticatory inefficiency, and saliva parameters were recorded. …”
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Prospective Clinical Trial for Septic Arthritis: Cartilage Degradation and Inflammation Are Associated with Upregulation of Cartilage Metabolites by Hagen Schmal, Anke Bernstein, Matthias J. Feucht, Benjamin Erdle, Jan M. Pestka, That Minh Pham, Eva Johanna Kubosch

“…This trial is registered with DRKS00003536, MISSinG.…”
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Putting performance bias to the front-lower side of the hole on steep slopes: Differences in strategies and movements between professional and amateur golfers. by Yumiko Hasegawa, Ayako Okada, Keisuke Fujii

“…When playing on an sloped golf course, the ball often misses the hole to the front-lower side, which is also referred to as the "amateur side." …”
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STGAN: Swin Transformer-Based GAN to Achieve Remote Sensing Image Super-Resolution Reconstruction by Wei Huo, Xiaodan Zhang, Shaojie You, Yongkun Zhang, Qiyuan Zhang, Naihao Hu

“…Super-resolution (SR) of remote sensing images is essential to compensate for missing information in the original high-resolution (HR) images. …”
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Medication Appropriateness in Prehospital Care by Nikolai Ramadanov, Roman Klein, Abner Daniel Aguilar Valdez, Wilhelm Behringer

“…MA was present in 46% (n = 100) of cases with incorrect diagnoses, and it was present in 79% (n = 388) of cases with correct diagnoses by the prehospital emergency physician (p=0.01). In cases of missing MA, 224 drugs and 23 different drugs were administered by the prehospital emergency physician. …”
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Robustness and limitations of maximum entropy in plant community assembly by Jelyn Gerkema, Daniel E. Bunker, Andrew M. Cunliffe, Erika Bazzato, Michela Marignani, Tommaso Sitzia, Isabelle Aubin, Stefano Chelli, Julieta A. Rosell, Peter Poschlod, Josep Penuelas, Arildo S. Dias, Christian Rossi, Tanvir A. Shovon, Juan A. Campos, Mark C. Vanderwel, Sharif A. Mukul, Bruno E.L. Cerabolini, Thomas Sibret, Bruno Hérault, Sylvain Schmitt, Pedro Higuchi, James L. Tsakalos, Decky I. Junaedi, Yun-Peng Zhao, Vanessa Minden, Ana Carolina da Silva, Tereza Mašková, Roberto Canullo, Ning Dong, Edwin T. Pos

“…We hypothesise that, for example, intraspecific trait variation combined with trait-based filtering or stochastic processes causes local and database trait values to deviate, potentially even further exacerbated by imputing missing trait data. Furthermore, trait-related information obtained from the model decreased with increasing species richness. …”
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Comparison of the EQ-5D-3L and EQ-5D-5L instruments in patients undergoing unicompartmental knee arthroplasty by Zhipeng Tai, Zhipeng Tai, Dongping Wan, Qiang Zan, Yuanchi Huang, Chao Xu

“…The assessment included missing data, ceiling effects, informativity and discriminatory power, as well as response consistency, redistribution properties, and inconsistency. …”
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Comparative study of imputation strategies to improve the sarcopenia prediction task by Shakhzod Karimov, Dilmurod Turimov, Wooseong Kim, Jiyoun Kim

“…Objective Sarcopenia, a condition characterized by the progressive loss of skeletal muscle mass and strength, poses significant challenges in research due to missing data. Incomplete datasets undermine the accuracy and reliability of studies, necessitating effective imputation techniques. …”
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Deep Learning-Based Pointer Meter Reading Recognition for Advancing Manufacturing Digital Transformation Research by Xiang Li, Jun Zhao, Changchang Zeng, Yong Yao, Sen Zhang, Suixian Yang

“…Second, the window multi-head attention of the PM-SwinUnet network enhances the feature extraction ability of pointer meter images and solves problems of missed scale detection and incomplete pointer segmentation. …”
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