HISTORICAL AND ARCHAEOLOGICAL MODELING OF THE ALBAZIN FORT DURING THE SECOND SIEGE. III by Lokhov A.Yu., Eremin I. E., Natsvin A.V.

“…However, for the most complete three-dimensional visualization of the Albaza fortress, it was necessary to develop three–dimensional models of its missing elements - a travel tower and corner blockhouses, as well as an armory hut and a grenade cellar. …”
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Research on visual digital twin offline fault prediction method for distribution automation terminal equipment by WU Longteng, HE Jianjun, GUO Qian

“…The concept of half-wave integration value is used to calculate the fault type of current and voltage, the offline fault prediction rules are generated to realize the visual digital twin offline fault prediction. …”
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Comparative analysis of technology transfer models of Hungary and Israel by Rachel Korányi, Zoltán Dr. Fülöp

“…The slower governmental response and weaker integration between universities and industry hinder the effectiveness of technology transfer in Hungary. …”
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Care Beyond the Bedside: Creating Space for Families of Hospitalized Children with Medical Complexity by Claire E. Wallace, Patrick G. Hogan, Nicholas A. Holekamp

“…Children with medical complexity (CMC) often have long hospital stays and sometimes spend months to years missing their childhoods, often alone in their rooms. …”
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Graph-based two-level indicator system construction method for smart city information security risk assessment by Li Yang, Kai Zou, Yuxuan Zou

“…The rapid development of urban informatization has led to a deep integration of advanced information technology into urban life. …”
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A portable EEG signal acquisition system and a limited-electrode channel classification network for SSVEP by Yunxiao Ma, Jinming Huang, Chuan Liu, Meiyu Shi

“…Portable and wearable devices offer a promising solution, but the limited number of electrodes in specific regions can lead to missing channels and reduced BCI performance. To overcome these challenges and enable better integration of BCI systems with external devices, this study developed an EEG signal acquisition platform (Gaitech BCI) based on the Robot Operating System (ROS) using a 10-channel dry electrode EEG device. …”
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medicX-KG: a knowledge graph for pharmacists’ drug information needs by Lizzy Farrugia, Lilian M. Azzopardi, Jeremy Debattista, Charlie Abela

“…Limitations, including missing detailed dosage encoding and real-time updates, are discussed alongside directions for future enhancements.…”
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Enhancing Assessment Practices with Moodle: A Comprehensive Study on Teachers’ Use of Different Question Types and the Impact of FastTest PlugIn by Milagros Huerta-Gomez-Merodio, Maria-Victoria Requena-Garcia-Cruz

“…The introduction of FTP has significantly simplified question creation and integration within Moodle. The study also highlights differences in assessment practices between STEM and non-STEM disciplines. …”
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Limitations in the use of atmospheric CO₂ observations to directly infer changes in the length of the biospheric carbon uptake period by T. Kariyathan, T. Kariyathan, A. Bastos, A. Bastos, M. Reichstein, W. Peters, W. Peters, J. Marshall, J. Marshall

“…However, an in-depth understanding of the sensitivity of the CUP as derived from the CO<span class="inline-formula">₂</span> mole fraction data (CUP<span class="inline-formula">_MR</span>) to actual changes in the CUP of the net ecosystem exchange (CUP<span class="inline-formula">_NEE</span>) is missing. In this study, we specifically assess the impact of (i) atmospheric transport, (ii) interannual variability in CUP<span class="inline-formula">_NEE</span>, and (iii) regional contribution to the signals that integrate at different background sites where CO<span class="inline-formula">₂</span> dry air mole fraction measurements are made. …”
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Targeted lipidomics dataset of central nervous system and plasma from mice with experimental autoimmune encephalomyelitisMendeley Data by Jörn Lötsch, Irmgard Tegder, Natasja de Bruin, Dominique Thomas, Gerd Geisslinger

“…The dataset is provided in both raw and imputed formats, along with comprehensive sample-level metadata.The data are organized into three comma-separated values (CSV) files: (1) the original quantitative lipidomics data matrix with missing values, (2) a log₁₀-transformed imputed dataset with missing values addressed using random forest imputation, and (3) a metadata file detailing the characteristics of the samples, group assignments, and tissue type. …”
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Advanced solar radiation prediction using combined satellite imagery and tabular data processing by Mohammed Attya, O. M. Abo-Seida, H. M. Abdulkader, Amgad M. Mohammed

“…The experiments done prove the efficiency of the used stage such as missing pixel imputation, removing noise, missing data imputation and prediction using LSTM when compared with other available techniques. …”
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Tensioned Multi-View Ordered Kernel Subspace Clustering by Liping Chen, Gongde Guo

“…Multi-view data improve the effectiveness of clustering tasks, but they often encounter complex noise and corruption. The missing view of the multi-view samples leads to serious degradation of the clustering model’s performance. …”
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Consumer-oriented review of digital diabetes prevention programs: insights from the CDC’s diabetes prevention recognition program by Benjamin Lalani, Jalene Shim, Vidhu Vadini, Yllka Valdez, Daniel Zade, Nestoras Mathioudakis

“…Program-specific features included AI-driven health recommendations, device integration (e.g., digital scales and activity trackers), nutrition tracking tools, and telehealth platforms. …”
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Implementing a Cross-Border Next-Generation Personal Health Record in the Philippines and Taiwan: An Implementation Case Report Using Health Level 7 International Fast Healthcare I... by Hsiu-An Lee, Jui-Chun Huang, Shih-Wun Huang, Wei-Han Chen, Alvin B Marcelo, Miguel Sandino O Aljibe, Chien-Yeh Hsu

“…Further collaboration, regulatory updates, and public awareness are vital to sustain integration and maximize patient benefits.…”
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Early Detection of Alzheimer’s Disease: An Extensive Review of Advancements in Machine Learning Mechanisms Using an Ensemble and Deep Learning Technique by Renjith Prabhavathi Neelakandan, Ramesh Kandasamy, Balasubramani Subbiyan, Mariya Anto Bennet

“…This paper investigates the integration of disparate machine learning algorithms to improve AD diagnostic accuracy. …”
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Using Time-Series Databases for Energy Data Infrastructures by Christos Hadjichristofi, Spyridon Diochnos, Kyriakos Andresakis, Vassilios Vescoukis

“…Energy data management frequently involves time sensitive operations, including rapid data ingestion, real-time querying, filling in gaps from missing or delayed data, and updating large volumes of timestamped and loosely structured data, all of which demand high processing power. …”
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Upscaling the Uptake of Climate-Smart Agriculture in Semi-Arid Areas of South Africa by Gugulethu Zuma-Netshiukhwi, Jan Jacobus Anderson, Carel Hercules Wessels, Ernest Malatsi

“…CSA adoption is limited by several factors, including a lack of institutional support, deficiencies in policy integration, and insufficient numbers of agricultural advisors. …”
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Reasoning about physical processes in buildings through component stereotypes by Ganesh Ramanathan, Simon Mayer

“…While mathematical simulation can be used to model physical processes, these are practically expensive to run and are not integrated with mainstream technical systems ontologies today. …”
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XGBoost Algorithm for Cervical Cancer Risk Prediction: Multi-dimensional Feature Analysis by Sudi Suryadi, Masrizal

“…The preprocessing pipeline was designed to address the complexities inherent in medical data, including strategic management of missing values and standardizing heterogeneous features. …”
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Novel Three-Day, Community-Based, Nonpharmacological Group Intervention for Chronic Musculoskeletal Pain (COPERS): A Randomised Clinical Trial. by Stephanie J C Taylor, Dawn Carnes, Kate Homer, Brennan C Kahan, Natalia Hounsome, Sandra Eldridge, Anne Spencer, Tamar Pincus, Anisur Rahman, Martin Underwood

“…Anxiety, depression, pain-related self-efficacy, pain acceptance, and social integration were better in the intervention group at 6 mo; at 12 mo, these differences remained statistically significant only for depression (-0.7, 95% CI -1.2 to -0.2) and social integration (0.8, 95% CI 0.4 to 1.2). …”
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