Quantification of CO₂ hotspot emissions from OCO-3 SAM CO₂ satellite images using deep learning methods by J. Dumont Le Brazidec, J. Dumont Le Brazidec, P. Vanderbecken, A. Farchi, G. Broquet, G. Kuhlmann, M. Bocquet

“…Furthermore, analysis of the area of the images in which the CNN-based inversion extracts the information for the quantification of the emissions, based on integrated-gradient techniques, demonstrates that the CNN effectively identifies the location of the plumes in the OCO-3 SAM images. …”
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Transition from care experiences of youth aged 13 to 23 living with fetal alcohol spectrum disorder in Canada: A scoping review by Michele L. Palk, Christine Wekerle

“…Conclusions: While this subpopulation must leave care by early adulthood, their experience is missing from the literature. We recommend investing in foundational research on pathways of exiting care, updating policy and practice to ensure youth voices are integrated, and optimizing, standardizing, and tracking protective factors throughout child welfare engagement.…”
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Comprehensive Assessment of Indoor Thermal in Vernacular Building Using Machine Learning Model with GAN-Based Data Imputation: A Case of Aceh Region, Indonesia by Muslimsyah Muslimsyah, Safwan Safwan, Andri Novandri

“…A Generative Adversarial Network (GAN)-based imputation technique was implemented to address missing data during preprocessing. The prediction model adopts a hybrid framework that integrates Multiple Linear Regression (MLR) and Artificial Neural Networks (ANNs), with both models optimized using Support Vector Regression (SVR) to better capture the nonlinear dynamics between inputs and outputs. …”
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Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation by Yosuke Yamagishi, Yuta Nakamura, Shouhei Hanaoka, Osamu Abe

“…These findings suggest that LLMs hold promise for extracting information from radiology reports and integrating it into disease-specific knowledge structures.…”
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The tadpole of Chiasmocleis altomontana (Anura: Microhylidae) by Leandro B. C. Menezes, Marcos R. Severgnini, Tiago L. Pezzuti, Michel V. Garey, Diogo B. Provete

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Machine learning model for postpancreaticoduodenectomy haemorrhage prediction: an international multicentre cohort study by Zhe Zhang, Xiaowei Wang, Chengfeng Wang, Jianwei Zhang, Xueping Zhao, Minjie Shang, Qiuran Xu, Zongting Gu

“…The model was deployed as an interactive application for real-time risk assessment.Conclusions This novel machine learning model for PPH prediction integrates interpretable risk stratification and demonstrates robust performance across international cohorts. …”
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Planning for Cultural Connectivity: Modeling and Strategic Use of Architectural Heritage Corridors in Heilongjiang Province, China by Lyuhang Feng, Jiawei Sun, Tongtong Zhai, Mingrui Miao, Guanchao Yu

“…A comprehensive analytical framework is established by integrating the nearest neighbor index, kernel density estimation, minimum cumulative resistance (MCR) model, entropy weighting, circuit theory, and network structure metrics. …”
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Accounting for observation biases associated with counts of young when estimating fecundity: case study on the arboreal-nesting red kite (Milvus milvus) by Sollmann, Rahel, Adenot, Nathalie, Spakovszky, Peter, Windt, Jendrik, Mattsson, Brady J.

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Short- and long-term weekly patient-reported outcomes prediction undergoing radiotherapy: single-patient time series model vs. transformer-based multi-patient time series model by Yang Yan, Zhong Chen, Xinglei Shen, Ronald C. Chen, Hao Gao

“…VAR-Inc’s performance deteriorated with missing follow-up PROs, whereas TFT remained stable, overcoming this limitation. …”
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“Jeg var i akut fællesskabsmangel” by Anne Lundahl Mauritsen, Henrik Reintoft Christensen

“…While other research has examined the pandemic’s effect on the reconstruction of rituals and the integration of social media among religious groups, this article instead focuses on the specific consequences of the pandemic related to the feeling of community among religious groups in Denmark. …”
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Predictors of Recovery from Complicated Severe Acute Malnutrition among Children 6-59 Months Admitted at Mbale Hospital, Uganda by Magdalene Akos Odikro, Michael Ediau, Angela Nakanwagi Kisakye, Fiston Muneza, George Kiwanuka, Henry Wamani

“…Findings were limited by missing data.…”
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Improving diabetic retinopathy screening using artificial intelligence: design, evaluation and before-and-after study of a custom development by Imanol Pinto, Álvaro Olazarán, David Jurío, Borja De la Osa, Miguel Sainz, Aritz Oscoz, Jerónimo Ballaz, Javier Gorricho, Javier Gorricho, Mikel Galar, Mikel Galar, José Andonegui, José Andonegui

“…This shows how AI devices, when seamlessly integrated into clinical workflows, can help improve clinical pathways in the long term.…”
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Effectiveness of a standardised and interactive intervention to prevent preschooler unintentional injury in rural China: a cluster randomised controlled trial by Jie Li, Guoqing Hu, David C Schwebel, Min Zhao, Peishan Ning, Wanhui Wang, Jieyi He, Weiqiang Li

“…Sensitivity analyses supported the principal findings.Conclusion The 9-month interactive intervention decreased unintentional injury incidence and substantially increased preschooler’s safety knowledge in rural China, offering an effective option for implementing or integrating in multifactorial interventions in resource-limited areas.Trial registration number Chinese Clinical Trial Registry, CHiCTR2000038025.…”
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Degradation-aware neural imputation: Advancing decoding stability in brain machine interfaces by Yun-Ting Kuo, Han-Lin Wang, Bo-Wei Chen, Ching-Fu Wang, Yu-Chun Lo, Sheng-Huang Lin, Po-Chuan Chen, You-Yin Chen

“…Effective methods for imputing degraded or missing signals are essential to restore neural signal integrity, thereby improving decoding accuracy and system robustness over long-term recordings with fluctuating signal quality. …”
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MentalAId: an improved DenseNet model to assist scalable psychosis assessment by Muxi Li, Farong Liu, Fei Du, Guolin Hong, Qing Hu, Zhi-Liang Ji, Pan You

“…Further validating its robustness, MentalAId demonstrated high performance under real-world clinical conditions, accurately handling extreme values and missing values, with accuracies of 92.4% and 92.0%, respectively. …”
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Healthcare Providers and Patients Perception on Telehealth Services Adoption for Post-Operative Follow-Ups at the Korle Bu Teaching Hospital (Ghana) by Jonathan Kissi, Vivian Kruh, Godwin Adzakpah, Caleb Annobil, Daniel Kwame Kwansah Quansah, Sarkodie Yaw Appiah, Veronica Adwubi, Kerzia Jacobell Owusuwa, Daniel Opare, Joseph Owusu-Marfo

“…Data were managed in REDCap with mandatory fields to minimize missing responses and anonymized identifiers to reduce bias. …”
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Serbia's EU membership, the corner stone of Western Balkans, into question by Celso CANCELA, Paula LAMOSO

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A competing risk analysis of predictors of time to lost to follow-up among adults with TB/HIV coinfection in Bahir Dar by Robel Demelash, Getachew Hailu, Taye Abuhay, Zemenu Addis, Ayenew Tega, Degarege Nibret, Yitagesu Habtu

“…Abstract Lost to follow-up (LTFU), defined as interrupting anti-TB treatment for ≥ 8 consecutive weeks or missing anti-retroviral therapy (ART) appointments for > 90 days, is a barrier to TB/HIV coinfection management. …”
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Association between cardiovascular health and osteoporotic fractures: a national population-based study by Jun Ou, Tingting Wang, Ridan Lei, Mengting Sun, Xiaorui Ruan, Jianhui Wei, Jiabi Qin

“…Public health strategies that integrate cardiovascular and bone health interventions may enhance overall health outcomes and reduce the societal burden of both cardiovascular diseases and osteoporosis.…”
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Development and Validation of a Predictive Model for Activities of Daily Living Dysfunction in Older Adults: Retrospective Analysis of Data From the China Health and Retirement Lon... by Fangbo Lin, Chao Liu, Hua Liu

“…Forty-six variables spanning demographics, health status, biomeasures, and lifestyle were analyzed. After addressing missing data via multiple imputation, Least Absolute Shrinkage and Selection Operator (LASSO) regression and multivariable logistic regression identified 6 predictors. …”
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