The use of race and ethnicity in sickle cell disease research by Aida S. Kidane Gebremeskel, Minke A. Rab, Erik D. van Werkhoven, Teun B. Petersen, Marjon H. Cnossen, Amade M’charek, Karlijn A. C. Meeks, Anita W. Rijneveld

“…However, crucial details such as ERC labels and methodology were frequently missing. Commonly used labels included “African” or “Black.” …”
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Enhanced Rail Surface Defect Segmentation Using Polarization Imaging and Dual-Stream Feature Fusion by Yucheng Pan, Jiasi Chen, Peiwen Wu, Hongsheng Zhong, Zihao Deng, Daozong Sun

“…Furthermore, the CBAM is integrated into the decoding area to refine feature fusion and mitigate the issue of missing small-target defects. …”
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Detection and functional resolution of soluble immune complexes by an FcγR reporter cell panel by Haizhang Chen, Andrea Maul‐Pavicic, Martin Holzer, Magdalena Huber, Ulrich Salzer, Nina Chevalier, Reinhard E Voll, Hartmut Hengel, Philipp Kolb

“…The reporter cell lines were integrated into an assay that enables the quantification of sIC reactivity via ELISA or a faster detection using flow cytometry. …”
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A quality enhancement method for vehicle trajectory data using onboard images by Bozhao Li, Zhongliang Cai, Hanzhi Wei, Shiliang Su, Wenchun Cao, Yanfen Niu, Hao Wang

“…However, low-cost GPS devices often cause issues such as trajectory point deviation and key attribute missing, which reduces the potential application of trajectory data and subsequently impacts the accuracy of map updates and the quality of transportation services. …”
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Physics-Guided Memory Network for building energy modeling by Muhammad Umair Danish, Kashif Ali, Kamran Siddiqui, Katarina Grolinger

“…This paper introduces a Physics-Guided Memory Network (PgMN), a neural network that integrates predictions from deep learning and physics-based models to address their limitations. …”
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Enhancing urban resilience through Tomo-PSInSAR-based structural health monitoring by Yi-Ching Chen, Yunung Nina Lin, Tee-Ann Teo, Chin-Yeh Chen, Tian-Yuan Shih, Hsin Tung

“…Several key factors affecting SAR-based SHM performance are identified: insufficient scatterers, uneven scatterer spatial distribution, the absence or geometric inaccuracy of building polygons, and missing age information. These limitations can be addressed through integrating SAR data from multiple viewing geometries, increasing acquisitions, and developing closer collaboration with government agencies.…”
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GFA: Generalized Feature Affinity for Semantic Segmentation in Resolution-Degraded Images by Jinze Yang, Youming Wu, Zining Zhu, Wenchao Zhao, Wenhui Diao, Kun Fu

“…To guide the supplementation direction more effectively, a results-oriented hard sampling strategy, which integrates auxiliary spatial attention is further proposed to enhance the performance of the aforementioned modules. …”
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A hybrid YOLO-UNet3D framework for automated protein particle annotation in Cryo-ET images by Ziyang Liu, Chunhong Yuan, Zixin Zhang, Xiang Zhou, Xiangyu Li, Zhen Tian, Yuting Pei, Zuowen Jiang, Zhikui Tian

“…However, automated annotation of these macromolecular assemblies remains challenging due to low signal-to-noise ratios, missing wedge artifacts, heterogeneous backgrounds, and structural diversity. …”
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Barrio-Level Assessment of Solar Rooftop Energy and Initial Insights into Energy Inequalities in Puerto Rico by Carlos A. Peña-Becerra, Willian A. Pacheco-Cano, Daniel F. Aragones-Vargas, Agustín Irizarry-Rivera, Marcel Castro-Sitiriche

“…This research contributes through (1) developing Puerto Rico’s first comprehensive solar rooftop potential map; (2) providing unprecedented barrio-level analysis; (3) introducing a methodology for estimating missing post-disaster consumption data; and (4) integrating technical, economic, and equity indicators to inform energy policy. …”
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A hybrid framework for heart disease prediction using classical and quantum-inspired machine learning techniques by Ankur Kumar, Sanjay Dhanka, Abhinav Sharma, Rohit Bansal, Mochammad Fahlevi, Fazla Rabby, Mohammed Aljuaid

“…Abstract This research proposes a novel framework for enhancing heart disease prediction using a hybrid approach that integrates classical and quantum-inspired machine learning techniques. …”
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Optimized deep learning approach for lung cancer detection using flying fox optimization and bidirectional generative adversarial networks by Manal Abdullah Alohali, Hamed Alqahtani, Shouki A. Ebad, Faiz Abdullah Alotaibi, Venkatachalam K., Jaehyuk Cho

“…This study presents an optimised deep learning approach for lung cancer classification, integrating flying fox optimization (FFXO) for feature selection and bidirectional generative adversarial networks (Bi-GAN) for classification. …”
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Enhancing Accuracy of 2D ¹H–¹³C HSQC NMR Spectra Under Low Sampling Rates via Non-Harmonic Analysis and Band Segmentation by Yuhang Du, Koushin Matsumoto, Shu Nagahara, Kazuma Tabo, Masaya Hasegawa, Shigeki Hirobayashi

“…Although non-uniform sampling (NUS) offers a partial solution by reducing measurement duration, conventional reconstruction methods struggle at ultra-low sampling rates, often producing artifacts and missing spectral features. This study introduces a novel hybrid framework that integrates non-harmonic analysis (NHA) with a band-segmented processing strategy—termed non-uniform non-harmonic analysis (NUNHA)—for high-fidelity two-dimensional NMR spectrum reconstruction under NUS conditions. …”
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A Spatiotemporal Fusion Network for Remote Sensing Based on Global Context Attention Mechanism by Weisheng Li, Yusha Liu, Yidong Peng, Fengyan Wu

“…A GC attention-based U-block (GCAU) employs a U-structured design and integrates GC attention mechanisms into every layer of its architecture. …”
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A Novel Trajectory Repairing Model Based on the Artificial Potential Field-Enhanced A* Algorithm for Small Coastal Vessels by Chengqiang Yu, Zhonglian Jiang, Xinliang Zhang, Wei He, Cheng Zhong

“…Speed distribution characteristics were extracted from historical trajectory points in different regions; on the basis of this, the A* algorithm, integrated with attractive and repulsive fields, was proposed to repair missing trajectory segments. …”
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Relationship between salivary flow rate and dental caries in normal and underweight children: a comparative cross-sectional study from district Tharparkar by Abdul Qadir Khan Dall, Muhammad Adeel Ahmed, Fizza Zulfiqar, Sarwat Batool, Rizwan Jouhar, Muhammad Faheemuddin

“…Dental caries were assessed using the DMFT (decayed, missing, and filled teeth) index. Data were analyzed using SPSS, and independent t-tests were performed to assess group differences. …”
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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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An optimized spatial target trajectory prediction model for multi-sensor data fusion in air traffic management by Jian Dong, Yuan Xu, Rigeng Wu, Chengwang Xiao

“…Through experiments on the constructed real dataset, it is evident that the improved snow ablation optimizer algorithm exhibits superior performance in optimization tasks. The sensor missing experiment underscore the advantages of multi-sensor data fusion. …”
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Classification of musculoskeletal pain using machine learning by Dalia Mohamed Fouad, Marwa Mahmoud Mahfouz, Mohammed Mostafa Mohamed, Mahmoud Yassin Elzanaty, Tarek Abd El-Hafeez

“…The dataset, containing 350 entries, was preprocessed to handle missing values, balance class distributions using SMOTE, and normalize features. …”
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Evaluation of cholera surveillance system, Kumasi Metropolis, Ashanti Region, Ghana, 2020 by Belinda Nsiah Opoku, Ebenezer Kofi Mensah, Joseph Asamoah Frimpong, Delia Akosua Bandoh, Gyesi Razak Issahaku, Ernest Kenu

“…The system uses a simple case definition which is easy to understand and well-integrated with other systems. Missing values and incomplete data reporting were identified, with overall completeness calculated at 60%. …”
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Wearable co-thinking device to assist strawberry packaging task by Osamu Fukuda, Wen Liang Yeoh, Yuta Esaki, Jin Yien Lee, Mitsuru Higashimori, Makoto Kaneko, Satoshi Muraki

“…The most significant feature of this system is its ability to seamlessly integrate system-generated decisions with human input, resulting in optimal task performance. …”
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