Predictors of independence in older people: A longitudinal, population-based study using the CARE75 + cohort by Emily Taylor, Victoria A Goodwin, Andrew Clegg, Lesley Brown, Julia Frost, Susan Ball

“…Abstract Background The ability to predict older people’s functional independence has implications for the development and provision of services to improve individual sense of self and wellbeing. …”
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Sparse Multichannel Decomposition of Electrodermal Activity With Physiological Priors by Samiul Alam, Md. Rafiul Amin, Rose T. Faghih

“…Finally, we present an overview of the algorithm's comparative performance under varying conditions and configurations to substantiate its ability to accurately model ANS activity. Our results show that our algorithm performs better in terms of multiple metrics like noise performance, AUC score, the goodness of fit of reconstructed signal, and lower missing impulses compared with the single channel decomposition approach. …”
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Performance Comparison of Large Language Models for Efficient Literature Screening by Maria Teresa Colangelo, Stefano Guizzardi, Marco Meleti, Elena Calciolari, Carlo Galli

“…In this study, we assessed six large language models (LLMs)—OpenHermes, Flan T5, GPT-2, Claude 3 Haiku, GPT-3.5 Turbo, and GPT-4o—for their ability to identify randomized controlled trials (RCTs) in datasets of increasing difficulty. …”
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DBF‐Net: A Deep Bidirectional Fusion Network for 6D Object Pose Estimation with Sparse Linear Transformer by Xuan Fan, Tao An, Hongbo Gao, Tao Xie, Lijun Zhao, Ruifeng Li

“…Leveraging the global receptive field of SLT, FB effectively eliminates the ambiguity induced by visual similarity in appearance representation or depth missing of reflective surfaces in geometry representations, thereby enhancing the generalization ability and robustness of the network. …”
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Machine learning with hyperparameter optimization applied in facies-supported permeability modeling in carbonate oil reservoirs by Watheq J. Al-Mudhafar, Alqassim A. Hasan, Mohammed A. Abbas, David A. Wood

“…Data pre-processing techniques applied include missing data imputation, scale correction, normalization with three different transformations (log, Box-Cox, and NST) and outlier detection. …”
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A Multimodal Bone Stick Matching Approach Based on Large-Scale Pre-Trained Models and Dynamic Cross-Modal Feature Fusion by Tao Fan, Huiqin Wang, Ke Wang, Rui Liu, Zhan Wang

“…This approach significantly improves matching performance, particularly in challenging cases involving fractures, corrosion, and missing sections. The novelty of this method lies in its ability to simultaneously extract and fuse multiple sources of information, addressing the limitations of traditional image-based matching methods. …”
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Noninvasive Screening of Basal Cell Carcinomas: A Comparison of the Structure and Physical Properties of Large and Small Nodular Lesions Using Vibrational OCT and Histopathology by Frederick H. Silver, Tanmay Deshmukh, Gayathri Kollipara, Aanal Patel

“…In the small lesion, the nodule is surrounded by tissue that may be considered to have “clear” margins even though the rete ridges are missing, and the ECM does not resemble normal skin. …”
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Problem-based training improves recognition of patient hazards by advanced medical students during chart review: a randomized controlled crossover study. by Friederike Holderried, Daniel Heine, Robert Wagner, Moritz Mahling, Yelena Fenik, Anne Herrmann-Werner, Reimer Riessen, Peter Weyrich, Stephan Zipfel, Nora Celebi

“…However, advanced medical students' ability to read patient charts and to identify patient hazards is rather poor. …”
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ANALYSIS OF GENETIC DIVERSITY OF SOME OLIVEGENOTYPES USING RANDOM AMPLIFIED POLYMORPHIC DNA (RAPD) MARKERS by Asmaa A. Al-Obeide, Akeel H. Al-Assie

“…The sample Santacatrina 5 received the highest number of missing bands, reaching (16 bands) Shamlaily is a sample 2 with the highest number of unique bands 7. …”
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A Symbol Conditional Entropy-Based Method for Incipient Cavitation Prediction in Hydraulic Turbines by Mengge Lv, Feng Li, Yi Wang, Tianzhen Wang, Demba Diallo, Xiaohang Wang

“…The uncertainty is reduced, and the ability to extract fault information is improved, so more effective cavitation features can be extracted to describe the evolving trend of cavitation. …”
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Online Fault Tolerant RUL Prediction Strategy for Lithium-Ion Batteries Using Machine Learning by Brahim Zraibi, Mohamed Mansouri, Chafik Okar, Hicham Chaoui

“…This framework maintains prediction accuracy even when all features are missing at the prediction time, potentially preventing short-term catastrophes.…”
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Highway subgrade stability prediction model based on depth separation convolutional fusion network by Yubian Wang

“…At present, it is impossible to grasp the quality monitoring of pavement in large-scale pavement construction and maintenance or to gradually form regular research contents and correct conclusions to guide the construction of pavement construction projects. To promote the ability of high-precision highway maintenance and detection and solve the situation of false detection or missing detection of road defects, it is necessary to establish a monitoring mechanism of multi-scale feature fusion. …”
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Rapid public health genomics capacity building during the COVID-19 Delta crisis driven by a transnational private, public, and social alliance by Mehul Champaklal Mehta, Mehul Champaklal Mehta, Mehul Champaklal Mehta, Gayatri Nair Lobo, Gayatri Nair Lobo, Gretchen Weightman, Gretchen Weightman, Vidushi Chitalia, Vidushi Chitalia, Jayanthi Shastri, Jayanthi Shastri, Jayanthi Shastri

“…When the COVID-19’s Delta variant spread globally during late 2020, Public Health Genomics (PHG) capabilities were missing in several cities, significantly impairing the ability of policymakers and public health systems to rapidly identify COVID-19 variants and effectively respond, with tragic human and economic consequences. …”
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The Effect of Pain on the Relationship Between Triage Acuity and Emergency Department Hospitalization Rate and Length of Stay by Yan-He Lin, Nai-Wen Ku, Chia-Hsin Ko, Eric H. Chou, Chih-Hung Wang, Tsung-Chien Lu, Chien-Hua Huang, Chu-Lin Tsai

“…Adult ED visits without missing data on pain score or triage level were included. …”
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Systematic review of prognostic models for predicting recurrence and survival in patients with treated oropharyngeal cancer by Janine Dretzke, Hisham Mehanna, David J Moore, Malcolm J Price, Ahmad K Abou-Foul, Katie Scandrett, Esther Albon, Bethany Hillier, Paul Nankivell

“…Concerns included a lack of accounting for potentially missing data, model overfitting or competing risks as well as small event numbers. …”
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TableStructureFormer: an improved masked-attention mask transformer model with long-distance feature aggregation and deep detail supervision for table structure recognition by Chenglong Yu, Weibin Li, Zixuan Zhu, Wei Li, Jianchao Du, Shiwei Zhang

“…However, in reality, tables often appear in many different styles, such as those containing many blank cells, large row–column spans, missing separator lines, or even no separator lines at all. …”
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Construct validity of measures of care home resident quality of life: cross-sectional analysis using data from a pilot minimum data set in England by Stephen Allan, Stacey Rand, Ann-Marie Towers, Kaat De Corte, Freya Tracey, Elizabeth Crellin, Therese Lloyd, Rachael E. Carroll, Sinead Palmer, Lucy Webster, Adam Gordon, Nick Smith, Gizdem Akdur, Anne Killett, Karen Spilsbury, Claire Goodman

“…Multiple imputation was used to address missing data. Results All three QoL measures had acceptable construct validity and captured different aspects of QoL, indicated by different factors explaining variation in each measure. …”
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metaGEENOME: an integrated framework for differential abundance analysis of microbiome data in cross-sectional and longitudinal studies by Ahmed Abdelkader, Nur A. Ferdous, Mohamed El-Hadidi, Tomasz Burzykowski, Mohamed Mysara

“…However, DA analysis remains challenging due to high dimensionality, compositionality, sparsity, inter-taxa correlations, uneven abundance distributions, and missing values—all which hinder our ability to model the data accurately. …”
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Integration of national demographic-disturbance relationships and local data can improve caribou population viability projections and inform monitoring decisions by Josie Hughes, Sarah Endicott, Anna M. Calvert, Cheryl A. Johnson

“…The model also acknowledges additional uncertainty and potential bias due to misidentification of sex or missing calves, through a term derived from a simple model of the recruitment survey observation process. …”
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Enhance health evidence quality in classification tasks: A triangulation approach utilizing case-based reasoning and process features by Ruihua Guo, Ross Smith, Qifan Chen, Angus Ritchie, Simon Poon

“…Unlike clinical trials, real-world data used in ML are often gathered for multiple purposes, leading to bias and missing information for a specific classification task. …”
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