Characterisation of cardiovascular disease (CVD) incidence and machine learning risk prediction in middle-aged and elderly populations: data from the China health and retirement lo... by Qing Huang, Zihao Jiang, Bo Shi, Jiaxu Meng, Li Shu, Fuyong Hu, Jing Mi

“…Data preprocessing included missing value imputation via random forest. Feature selection was performed using the Least Absolute Shrinkage and Selection Operator (Lasso CV) method with cross-validation prior to model training. …”
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Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm by Xuehui Fan, Ruixue Ye, Yan Gao, Kaiwen Xue, Zeyu Zhang, Jing Xu, Jingpu Zhao, Jun Feng, Yulong Wang

“…The steps included handling missing values, data normalization, and encoding conversion. …”
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Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data by Austin A. Barr, Joshua Quan, Eddie Guo, Emre Sezgin, Emre Sezgin

“…BackgroundClinical data is instrumental to medical research, machine learning (ML) model development, and advancing surgical care, but access is often constrained by privacy regulations and missing data. Synthetic data offers a promising solution to preserve privacy while enabling broader data access. …”
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Quality of routine malaria data captured at primary health facilities in the Hohoe Municipality, Ghana by Christopher Ayisah, Thywill Worlase Kpenu, Edem Kojo Dzantor, Clement Tetteh Narh

“…A data validation tool was developed to determine the quality of malaria indicators measuring availability, completeness (percentage of missing data), and accuracy. The data was analysed descriptively using Microsoft excel. …”
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Mapping mycological ignorance – checklists and diversity patterns of fungi known for West Africa by Meike Piepenbring, Jose G. Maciá-Vicente, Jean Evans I. Codjia, Carola Glatthorn, Paul Kirk, Yalemwork Meswaet, David Minter, Boris Armel Olou, Kai Reschke, Marco Schmidt, Nourou Soulemane Yorou

“…For several groups of animals and plants, such data are available, but for fungi, especially in tropical regions like West Africa, they are mostly missing. Here, information for West African countries about species diversity of fungi and fungus-like organisms (other organisms traditionally studied by mycologists) is compiled from literature and analysed in its historical context for the first time. …”
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Non-pharmaceutical interventions and epigenetic aging in adults: Protocol for a scoping review. by Alina Liebich, Shenglin Zheng, Theresa Schachner, Jacqueline Mair, Mia Jovanova, Falk Müller-Riemenschneider, Tobias Kowatsch

“…However, a comprehensive overview of whether and which non-pharmaceutical interventions may impact human epigenetic aging is missing. Synthesizing evidence of interventions on epigenetic aging that can be adopted by a wider population is key to guide healthy aging initiatives and to reduce the burden of NCDs and CMDs. …”
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Exosomes Derived from CXCR4-Overexpressing BMSC Promoted Activation of Microvascular Endothelial Cells in Cerebral Ischemia/Reperfusion Injury by Xutong Li, Ye Zhang, Yong Wang, Dan Zhao, Chengcheng Sun, Shaoting Zhou, Dongsheng Xu, Jing Zhao

“…Compared with the control groups, the ExoCXCR4 group showed a significantly lower mNSS score at 7 d, 14 d, and 21 d after ischemia/reperfusion (P<0.05). …”
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A Modified Cycle Slip Detection Method with GNSS Doppler Assistance and Optimizing by Adaptive Threshold and Sliding Polynomial Fitting by Kezhao Li, Yunyan Shen, Xiaokui Yue, Yingxiang Jiao, Kai Wang, Zhe Yue, Keke Xu

“…The main contents are as follows: (1) compared with the MW method, the Doppler-assisted phase subtraction pseudorange (DAPSP) method that we proposed has no detection blind spot and can effectively reduce the influence of pseudorange noise at high sampling rates; thus, we replace MW by the DAPSP method to improve the detection accuracy. (2) An adaptive threshold model with root mean square (RMS) is established to effectively reduce the missing and false range detection of cycle slip. (3) The sliding polynomial fitting-assisted GF (SPFAGF) is carried out according to the satellite altitude angle. …”
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Relationship between physical activity during pregnancy and maternal health outcomes: evidence from the MAASTHI cohort study in Bengaluru, India by Yamuna Ana, Floor A. van den Brand, Onno C. P. van Schayck, Giridhara R. Babu

“…We used linear logistic regression to assess the association between a continuous measure of physical activity level and maternal outcomes and performed multivariable logistic regression analysis to understand the association between sedentary behavior and maternal health outcomes and mode of delivery after adjusting for potential confounders.ResultsWe interviewed 2,424 eligible pregnant women at baseline and 1,317 were considered in the final analysis after excluding those who missed follow-ups. We observed that one unit increase in physical activity level was associated with reduced prenatal depressive symptoms (β = −6.36, p &lt; 0.001), fasting (β = 2.06, p = 0.04), and postprandial blood sugar levels (β = −0.99, p = 0.01), respectively. …”
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Pharmacognostic analysis and antimalarial evaluation of quercetin in Ilex umbellulata bark using HPTLC, in vitro screening, molecular docking, and network pharmacology by James H. Zothantluanga, Dipak Chetia, Yasangam Umbon, T. C. Lalhriatpuii, Dhritiman Roy, Nidahun Lamare, Salem Lalvenhimi

“…In this study, we aim to develop the missing pharmacognostic parameters with modern analytical techniques and carry out multi-step computational studies to study the antimalarial potential of I. umbellulata. …”
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Agent-Based Intelligent Fuzzy Traffic Signal Control System for Multiple Road Intersection Systems by Tamrat D. Chala, László T. Kóczy

“…In the simulation experiments, an interesting new feature emerged: despite any direct communication missing at multiple intersections, green waves evolved with time. …”
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User and Developer Views on Using AI Technologies to Facilitate the Early Detection of Skin Cancers in Primary Care Settings: Qualitative Semistructured Interview Study by Owain Tudor Jones, Natalia Calanzani, Suzanne E Scott, Rubeta N Matin, Jon Emery, Fiona M Walter

“…Participants were concerned about the quality of the data used to develop and test AI technologies and the impact this could have on their accuracy in clinical use with patients from a range of demographics and the risk of missing skin cancers. Ease of use and not increasing the workload of already strained health care services were important considerations for participants. …”
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Sexual health and healthy relationships for Further Education (SaFE) in Wales and England: results from a pilot cluster randomised controlled trial by Fiona V Lugg-Widger, Chris Bonell, James White, Honor Young, Ruth Lewis, Rachel Brown, Jason Madan, Julia Townson, Lauren Copeland, Philip Pallmann, G J Melendez-Torres, Rhys Williams-Thomas, Muhammad Riaz, Gemma S Morgan

“…We found low rates of missing data for almost all variables with no discernible differences across arms. …”
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Presenting the Model of Eco-Leadership in Elementary Schools with an Interpretive Phenomenological Approach by Adel Zahed babolan, Seyyedmohammad Seyyedkalan

“…Many principals and teachers argue that talking about ecological educational and training activities and observing the environmental conditions of schools is still the missing link in the educational system, which is impossible without valid reflections and criticisms of the school environment. …”
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Challenges and opportunities for assessing trends of amphibians with heterogeneous data – a call for better metadata reporting by Klaus Henle, Reinhard A. Klenke, M. Benjamin Barth, Annegret Grimm-Seyfarth, Diana E. Bowler

“…Annual occupancy estimates were typically less certain when attempting to account for the effects of survey methods, which could be explained by many missing values on methods. Separate models for drift fence data reduced the uncertainty in the annual occurrence probability estimates of the GLMM models, but uncertainty remained high for occupancy-detection models. …”
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Towards Meaningful Interpretation of Molecular Data: Insights Gained from HMMD Challenges in <i>Salmonella</i> Detection for Future NGS Integration in Clinical Microbiology by Hyunji Kim, Soo Hyun Seo, Jae-Seok Kim, Kwang Jun Lee, Kyoung Un Park

“…Adjusting the MFI threshold in Version 1.12 reduced false positives from 40.6% to 38.4% but led to one culture-confirmed positive case being missed. Statistically significant MFI differences were observed between culture-positive and culture-negative cases, suggesting that fixed binary cutoffs may not always yield clinically accurate interpretations. …”
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High-throughput untargeted metabolomics reveals metabolites and metabolic pathways that differentiate two divergent pig breeds by S. Bovo, M. Bolner, G. Schiavo, G. Galimberti, F. Bertolini, S. Dall’Olio, A. Ribani, P. Zambonelli, M. Gallo, L. Fontanesi

“…After thoroughly evaluating the impact of random components on missing value imputation, 100 discriminant metabolites were selected by Boruta and 17 discriminant metabolites (all included within the previous list) were identified with sPLS-DA. …”
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Snow depth estimation on leadless landfast ice using Cryo2Ice satellite observations by M. Saha, J. Stroeve, J. Stroeve, D. Isleifson, J. Yackel, V. Nandan, V. Nandan, J. C. Landy, H. M. Lam

“…Differences between Cryo2Ice and in situ snow depth distributions reflect the varying sampling resolutions of the sensors and the in situ measurements. Cryo2Ice tends to miss snow depths greater than 30 cm, especially around ridges. …”
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Non‐invasive telemedical care in heart failure patients and stroke: post hoc analysis of TIM‐HF and TIM‐HF2 trials by Serdar Tütüncü, Marcus Honold, Kerstin Koehler, Oliver Deckwart, Friedrich Koehler, Karl Georg Haeusler

“…Irrespective of known CHF, echocardiography was often missing during in‐hospital diagnostic workup after acute stroke/TIA.…”
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Generation Victoria (GenV): protocol for a longitudinal birth cohort of Victorian children and their parents by Elizabeth K. Hughes, William Siero, Alisha Gülenç, Susan A. Clifford, Tony Frugier, Simon M. Hall, Jatender Mohal, Kathryn North, Natasha Zaritski, Sharon Goldfeld, Richard Saffery, Melissa Wake

“…Successive recruitment phases were designed to maximise GenV’s inclusivity: (1) a smaller Advance Cohort from December 2020; (2) Newborn recruitment, with presence in 58 Victorian maternity services supporting face-to-face approach to parents of babies born 4 October 2021–3 October 2023; (3) Intensive remote recruitment to mid-2024 targeting those missed around birth; and (4) Ongoing indefinite enrolment of in-age children and their parents. …”
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