The validity of the Meaning in Life in Persons with Dementia Questionnaire (MIND) by Torgeir Sørensen, Sverre Bergh, Knut Asbjørn Hestad, Ingvild Hjorth Feiring, Lars Johan Danbolt, Bjørn Lichtwarck

“…However, knowledge on meaning in life in this target group is scarce, among other reasons because an instrument specifically developed and adapted to assess meaning in life in this population has been missing. Although existential experiences are known to affect well-being in older adults, few tools exist to assess meaning in life in individuals with dementia. …”
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Evaluating the accuracy and reliability of AI chatbots in patient education on cardiovascular imaging: a comparative study of ChatGPT, gemini, and copilot by Ahmed Marey, Abdelrahman M. Saad, Yousef Tanas, Hossam Ghorab, Julia Niemierko, Hazif Backer, Muhammad Umair

“…Abstract Background The integration of artificial intelligence (AI) chatbots in medicine is expanding rapidly, with notable models like ChatGPT by OpenAI, Gemini by Google, and Copilot by Microsoft. …”
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How can a measure improve assessment and management of symptoms and concerns for people with dementia in care homes? A mixed-methods feasibility and process evaluation of IPOS-Dem. by Clare Ellis-Smith, Irene J Higginson, Barbara A Daveson, Lesley A Henson, Catherine J Evans, BuildCARE

“…It was perceived as quick and easy to use, with proportion of overall missing data decreasing from 2.1% to 1.1% from baseline to final time points. …”
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A Combined Frame Difference and Convolution Method for Moving Vehicle Detection in Satellite Videos by Xin Luo, Jiatian Li, Xiaohui A, Yuxi Deng

“…This module extracts motion features between adjacent frames using frame difference, refines them through backpropagation in the neural network, and integrates them with the current frame to compensate for the missing motion features in single-frame images. …”
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Optimizing Pre-Trained Models for Medical Dataset Classification with a Fine-Tuning Approach by N. Kumar, T. Christopher

“…This approach implements a Hybrid Imputation Method using MICE and KNN Imputation which precedes other stages and helps process missing values and outliers in medical data. We use CNNs and SAEs together for deep feature extraction before using Feature Fusion to assemble a robust feature collection. …”
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The Plotting Check of Land Parcels on Computerization of Land Activities (KKP) towards Complete Village in Medan City by Rahma Ramadhani, Fatimaharani Annisa Septiya Ningrum, Alysia Delly Rasendria

“…The ultimate goal is to establish a harmonious integration between administrative functions, policy frameworks, and land information infrastructure, thereby contributing to the realization of sustainable development. …”
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Cohort study evaluating management of burns in the community in clinical practice in the UK: costs and outcomes by Julian F Guest, Graham W Fuller, Jacky Edwards

“…Strategies are required to improve documentation in patients’ records, integration of care between different providers, wound healing rates and reducing infection.…”
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Adopting Sustainability Competencies in Management Education—A Scoping Review of Progress by Patricia MacNeil, Anshuman Khare

“…We discuss these barriers and how they may be addressed. Integrating SCs into ME responds to SDG 4 (quality education). …”
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SAR-DeCR: Latent Diffusion for SAR-Fused Thick Cloud Removal by Meilin Wang, Shihao Hu, Yexing Song, Yukai Shi

“…The current methods for removing thick clouds from remote-sensing images face significant limitations, including the integration of thick cloud images with synthetic aperture radar (SAR) ground information, the provision of meaningful guidance for SAR ground data, and the accurate reconstruction of textures in cloud-covered regions. …”
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Physics-Guided Self-Supervised Learning Full Waveform Inversion with Pretraining on Simultaneous Source by Qiqi Zheng, Meng Li, Bangyu Wu

“…Moreover, the method exhibits excellent noise resistance and stability when low-frequency data component is missing.…”
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One scan, multiple insights: A review of AI-Driven biomarker imaging and composite measure detection in lung cancer screening by Saher Verma, Leander Maerkisch, Alberto Paderno, Leonard Gilberg, Bianca Teodorescu, Mathias Meyer

“…In an era where early detection of diseases is paramount, integrating artificial intelligence (AI) into routine lung cancer screening offers a groundbreaking approach to simultaneously uncover multiple health conditions from a single scan. …”
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A flexible framework for local-level estimation of the effective reproductive number in geographic regions with sparse data by Md Sakhawat Hossain, Ravi Goyal, Natasha K. Martin, Victor DeGruttola, Mohammad Mihrab Chowdhury, Christopher McMahan, Lior Rennert

“…Methods To overcome this challenge, we propose a two-step approach that incorporates existing $$\:{R}_{t}$$ estimation procedures (EpiEstim, EpiFilter, EpiNow2) using data from geographic regions with sufficient data (step 1), into a covariate-adjusted Bayesian Integrated Nested Laplace Approximation (INLA) spatial model to predict $$\:{R}_{t}$$ in regions with sparse or missing data (step 2). …”
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Well log data generation and imputation using sequence based generative adversarial networks by Abdulrahman Al-Fakih, A. Koeshidayatullah, Tapan Mukerji, Sadam Al-Azani, SanLinn I. Kaka

“…This study introduces a novel framework utilizing sequence-based generative adversarial networks (GANs) specifically designed for well log data generation and imputation. The framework integrates two distinct sequence-based GAN models: time series GAN (TSGAN) for generating synthetic well log data and sequence GAN (SeqGAN) for imputing missing data. …”
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Satellite Remote Sensing for Monitoring Cork Oak Woodlands—A Comprehensive Literature Review by Emma Bambagioni, Solaria Anzilotti, Costanza Borghi, Gherardo Chirici, Fabio Salbitano, Marco Marchetti, Saverio Francini

“…RS for cork oak monitoring is still a relatively young discipline with high potential for development, requiring greater methodological consistency and stronger integration with conservation strategies to support adaptive management in the face of future environmental pressures.…”
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Federated Learning for Fall Detection With Multimodal Residual Fusion and Pareto-Optimized Client Selection by Bao-Quan Wang, Fan Yang, Yi Wang, Fan Zhao, Yun-Fei Han, Yu-Peng Ma

“…Additionally, it demonstrates strong robustness in complex scenarios involving imbalanced data distributions and missing modalities.…”
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High-throughput quantum photonic devices emitting indistinguishable photons in the telecom C-band by Paweł Holewa, Daniel A. Vajner, Emilia Zięba-Ostój, Maja Wasiluk, Benedek Gaál, Aurimas Sakanas, Marek G. Mikulicz, Paweł Mrowiński, Bartosz Krajnik, Meng Xiong, Kresten Yvind, Niels Gregersen, Anna Musiał, Alexander Huck, Tobias Heindel, Marcin Syperek, Elizaveta Semenova

“…Our technique enables the deterministic integration of single pre-selected quantum emitters into microcavities based on circular Bragg gratings. …”
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TB elimination in Southern Africa: overview and critical reflection by J. Boffa, D. Vambe, C. Khosa, B. José, N. Ndjeka, T. Nkomo, A.W. Kay, A.M. Mandalakas, L. Mvusi, S.V. Omar, S. Thi, K. Velen, S. Charalambous, M.X. Rangaka

“…Identifying and treating missing people with TB, diagnosing TB in children, and improving treatment adherence remain critical areas requiring enhanced support and resources. …”
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An appraisal of backscatter removal and refraction calibration models for improving the performance of vision-based mapping and navigation in shallow underwater environments by Fickrie Muhammad, Poerbandono, Harald Sternberg, Eka Djunarsjah, Hasanuddin Z Abidin

“…Refraction correction eliminates the bowing effect from missing ground control points in underwater environments. …”
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Space-scale exploration of the poor reliability of deep learning models: the case of the remote sensing of rooftop photovoltaic systems by Gabriel Kasmi, Laurent Dubus, Yves-Marie Saint-Drenan, Philippe Blanc

“…However, centralized registries recording the technical characteristics of rooftop PV systems are often missing, making it difficult to monitor this growth accurately. …”
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Winter wheat mapping using unbalanced multi-source remote sensing data by Haofei Li, Xiaohui He, Mengjia Qiao, Haonan Sun, Jinlan Kong, Xijie Cheng, Panle Li, Jian Zhang, Renyi Liu, Jiandong Shang

“…The integration of optical and synthetic aperture radar (SAR) remote sensing images enhances the acquisition of winter wheat planting information and improves the accuracy of winter wheat mapping. …”
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