PTSD symptom changes during Trauma-Focused Cognitive Behavioural Therapy (TF-CBT) in children and adolescents: a Single-Case Experimental Design study by Lieke H. Kooij, Irma M. Hein, Samantha Bouwmeester, Ramón J. L. Lindauer

“…A more severe or complex PTSD profile, needed more integration of coping skills and more sessions. For negative cognitions such as self-blame, cognitive reprocessing is necessary during the narrative. …”
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Enhanced Video Inpainting: A Deep Learning Approach for Historical Weather Reconstruction by Yannis Schmutz, Noemi Imfeld, Stefan Brönnimann, Erik Graf

“…To the best of our knowledge, this is the first study to apply DL‐based video inpainting techniques for weather reconstruction, proposing it as a novel approach for reconstructing missing weather information.…”
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RanViz: Ransomware Visualization and Classification Based on Time-Series Categorical Representation of API Calls by Vhuhwavho Mokoma, Avinash Singh

“…Second, the temporal and categorical nature of this data makes identifying meaningful patterns complex. Third, the integration of machine learning (ML) models, which are essential for accurate classification, is hindered by the difficulty of modelling intricate API call behaviours. …”
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Enhancing the performance of point cloud completion assisted with tactile information by Ming Lu, Jian-Han Shi, Jian Li, Hao-Ran Shen, Huai-Yu Wang, Chi Zhang, Pu-Zheng Wang, Qin Wang

“…However, traditional point cloud completion methods often fail to accurately restore the local details of objects due to the lack of detailed descriptions of the missing parts. This paper proposes a performance enhancement scheme for point cloud completion using tactile information. …”
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Norwegian Public Health Nursing Students’ Experiences with the Transition from Classroom to Online Lectures: Benefits and Challenges by Bente Sparboe-Nilsen, Victoria Telle Hjellset, Milada Cvancarova Hagen, Lisbeth Valla

“…The integration of technology in higher education increased online courses available to students, although traditional face-to-face interaction remains dominant. …”
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CAG-MoE: Multimodal Emotion Recognition with Cross-Attention Gated Mixture of Experts by Axel Gedeon Mengara Mengara, Yeon-kug Moon

“…These challenges include aligning disparate modalities, handling varying levels of noise and missing data, and effectively fusing features without diluting critical contextual information. …”
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Evaluating Coding Proficiency of Large Language Models: An Investigation Through Machine Learning Problems by Eunbi Ko, Pilsung Kang

“…These problems were chosen to encompass a range of challenges, including handling missing data, feature engineering, deep learning architectures, and multi-label classification. …”
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AI-enabled Barilai–Borwein–Blinder–Oaxaca–Bernoulli Deep Classifier for Enhanced Crop Yield Prediction by Rajesh Kumar Dhanaraj, Nithya Rekha Sivakumar, Firoz Khan, Mahmoud Ahmad Al-Khasawneh

“…Abstract This article explores the integration of advanced Artificial Intelligence (AI) enabled deep learning methods with accurate crop yield prediction. …”
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Early detection of mental health disorders using machine learning models using behavioral and voice data analysis by Sunil Kumar Sharma, Ahmed Ibrahim Alutaibi, Ahmad Raza Khan, Ghanshyam G. Tejani, Fuzail Ahmad, Seyed Jalaleddin Mousavirad

“…This framework preprocesses and analyzes two distinct datasets to handle missing values, normalize data, and eliminate outliers. …”
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Charting the Global Energy Economy Research: Trends, Gaps, and Paradigm Shifts by Valery Okulich-Kazarin, Artem Artyukhov, Nadiia Artyukhova, Tomasz Wołowiec, Sylwia Skrzypek-Ahmed

“…By examining the socio-economic implications of renewable energy deployment and addressing the challenges associated with energy storage and grid integration, this study contributes to the ongoing discourse on sustainable energy development. …”
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Oligodendrocyte arrangement, identification and morphology in the developing superior olivary complex by Alina Carola Zacher, Alina Carola Zacher, Melissa Grabinski, Laura Console-Meyer, Laura Console-Meyer, Felix Felmy, Christina Pätz-Warncke

“…Within the auditory superior olivary complex (SOC), relevant for sound localization and spectro-temporal integration, oligodendrocytes are fundamental for fast neuronal communication and accurate timing of sound signals. …”
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Engagement and Preparedness of Urban Accredited Social Health Activists (U-ASHAs) for Delivery of Tuberculosis (TB) Care: Findings From two Cities in Maharashtra, India by Vidula S. Purohit, Shilpa Santosh Karvande, Daksha Y. Shah, Omprakash B. Vallepawar, Omprakash J. Yadav, Nerges F. Mistry

“…Finding missing tuberculosis (TB) cases from the “under-reached” population of urban slums and connecting them with TB services is a priority and ongoing challenge for India. …”
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Enhancing Neural Network Interpretability Through Deep Prior-Guided Expected Gradients by Su-Ying Guo, Xiu-Jun Gong

“…Despite its effectiveness, conventional baselines used in state-of-the-art implementations of EG often lack a clear definition of what constitutes “missing” information. This study proposes DeepPrior-EG, a deep prior-guided EG framework for leveraging prior knowledge to more accurately align with the concept of missingness and enhance interpretive fidelity. …”
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Enhancing Few-Shot SAR Ship Recognition: Pseudospectrum Information Generation and Fusion by Gui Gao, WenXi Liu, Xi Zhang

“…Finally, a few-shot target recognition method based on pseudospectrum information generation and fusion network is presented, allowing flexibility and integration with various popular recognition methods. …”
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A WGAN-GP Approach for Data Imputation in Photovoltaic Power Prediction by Zhu Liu, Lingfeng Xuan, Dehuang Gong, Xinlin Xie, Zhongwen Liang, Dongguo Zhou

“…Accurate forecasting and data quality are critical for effective integration into power grids. However, PV power records often contain missing data due to system downtime, posing difficulties for pattern recognition and model accuracy. …”
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A Wind Turbines Dataset for South Africa: OpenStreetMap Data, Deep Learning Based Geo-Coordinate Correction and Capacity Analysis by Maximilian Kleebauer, Stefan Karamanski, Doron Callies, Martin Braun

“…Accurate and detailed spatial data on wind energy infrastructure is essential for renewable energy planning, grid integration, and system analysis. However, publicly available datasets often suffer from limited spatial accuracy, missing attributes, and inconsistent metadata. …”
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Bayesian semiparametric inference in longitudinal metabolomics data by Abhra Sarkar, Ornella Cominetti, Ivan Montoliu, Joanne Hosking, Jonathan Pinkney, Francois-Pierre Martin, David B. Dunson

“…Important aspects of the analysis include the selection of the important set of metabolites and the accommodation of missing data in both response and covariate values. …”
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Los implantes oseointegrados en la práctica estomatológica by Edna María García Macías, María Elena Pereda Rojas, Marlene Cabrera Velásquez

“…Key words: implant dentistry, bone integration, edentulous …”
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Midfrontal mechanisms of performance monitoring continuously adapt to incoming information during outcome anticipation by Leon Lange, Joanna Kisker, Roman Osinsky

“…We found that FMT power increased in response to missing shots in both tasks, but this effect was suppressed when participants were able to anticipate the outcome. …”
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Secure internet of medical things based electronic health records scheme in trust decentralized loop federated learning consensus blockchain by Megha Kuliha, Sunita Verma

“…The obtained raw data is pre-processed by using handling missing values and adaptive min-max normalization. …”
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