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421
Validation of the de Morton Mobility Index for measuring mobility related activities in Hungarian institutionalized older adults
Published 2025-07-01“…Reliability was assessed using three measurement properties: internal consistency (determined by Cronbach’s alpha), test-retest reliability (by intraclass correlation coefficients (ICC)), and measurement error (standard error of measurement (SEM), minimally detectable change (MDC), limits of agreement (LoA)). …”
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422
The impact of maternal health and lifestyle on low birth weight: a prospective cohort study
Published 2025-07-01“…Tailored interventions should be prioritized by antenatal care providers. …”
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423
Applications of quantum computing in clinical care
Published 2025-04-01“…These improvements could enable earlier detection of diseases such as Alzheimer’s, cancer, and osteoarthritis, supporting more timely interventions and better prognoses.DiscussionDespite promising outcomes, current limitations—such as hardware scalability, error mitigation, and ethical considerations—hinder widespread adoption of QC in clinical settings. …”
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424
Patient Safety in Medication Nomenclature: Orthographic and Semantic Properties of International Nonproprietary Names.
Published 2015-01-01“…<h4>Background</h4>Confusion between look-alike and sound-alike (LASA) medication names (such as mercaptamine and mercaptopurine) accounts for up to one in four medication errors, threatening patient safety. Error reduction strategies include computerized physician order entry interventions, and 'Tall Man' lettering. …”
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425
Understanding Binge-Watching: The Role of Dark Triad Traits, Sociodemographic Factors, and Series Preferences
Published 2025-05-01“…Measurement invariance was confirmed across genders through a multigroup CFA, testing configural, metric, scalar, and error variance levels. Model reliability, convergent validity, and discriminant validity were assessed using Cronbach’s alpha, composite reliability, and the average variance extracted (AVE). …”
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426
Empirical Study of Magnet Distance on Magneto-Mechanical Resonance Frequency
Published 2024-12-01“…Determining the position and orientation of a medical instrument is essential for accurate procedures in endoscopy, surgery, and vascular interventions. Recently, a novel sensor based on torsional pendulum-like magneto-mechanical motion has been proposed. …”
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427
Physician performance scores used to predict emergency department admission numbers and excessive admissions burden
Published 2024-09-01“…Such modelling will enable enhanced workforce planning and timely intervention to reduce inappropriate admissions and overcrowding.Methods A database was created of 232 245 ED attendances at Meir Medical Center in central Israel, spanning the years 2016–2021. …”
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428
Projection and assessment of future droughts in Iowa: developing a machine learning model and an interactive application
Published 2025-08-01“…With a Root Mean Squared Error of 0.19 and an R2 of 91%, the model achieved a high level of accuracy, making it effective in guiding conservation practices and enabling timely interventions. …”
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429
Emergence to dominance: Estimating time to dominance of SARS-CoV-2 variants using nonlinear statistical models.
Published 2025-01-01“…Model performance was evaluated using the Akaike Information Criteria (AIC) and the root mean square error (RMSE).<h4>Findings</h4>The Weibull model performed the worst out of all three approaches. …”
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430
Development and validation of the Oxford Pandemic Attitude Scale-COVID-19 (OPAS-C): an internet-based cross-sectional study in the UK and USA
Published 2021-07-01“…Objectives To develop and validate the Oxford Pandemic Attitude Scale-COVID-19 (OPAS-C), a multidimensional scale that addresses seven domains over 20 items including stress, fear, loneliness, sense of community, belief that the pandemic is a hoax or exaggerated, the use of and attitude to non-pharmaceutical interventions and vaccine hesitancy, in a single measure.Design Cross-sectional validation study.Setting Internet based with respondents in the USA and UK.Participants General community respondents using the Prolific Academic platform.Main outcome measures Exploratory factor analyses with promax oblique rotation and confirmatory factor analysis including goodness of fit indices: root mean square error of approximation (RMSEA), standardised root mean square residual (SRMR) and comparative fit index (CFI). …”
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431
Advancing Early Warning Systems for Malaria: Progress, challenges, and future directions - A scoping review.
Published 2025-01-01“…Malaria Early Warning Systems (EWS) are predictive tools that often use climatic and other environmental variables to forecast malaria risk and trigger timely interventions. Despite their potential benefits, the development and implementation of malaria EWS face significant challenges and limitations. …”
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432
Arabic Phoneme Learning Challenges for Madurese Students and the Solutions
Published 2023-11-01“…This research provided a comprehensive study of the challenges of pronouncing Arabic phonemes at INSTIKA Madura. Certain types of errors and the underlying factors that affect pronunciation were identified. …”
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433
A student academic performance prediction model based on the interval belief rule base
Published 2025-08-01“…Outcomes from the prediction enables educators to implement targeted interventions for students. Therefore, developing an effective SPP model is of critical importance. …”
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434
Phishing suspiciousness in older and younger adults: The role of executive functioning.
Published 2017-01-01“…This suggests that simple educational interventions may be effective in reducing phishing vulnerability. …”
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435
The Effect of Motor Imaginary Combined with Transcranial Direct Current Stimulation (tDCS) on Balance in Middle-Aged Women with High Fall Risk: A Double-Blind Randomized Controlled...
Published 2023-01-01“…Significant improvement was observed in both balance tests in the intervention group after the implementation of the 4-week intervention program compared to the control group. …”
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436
An improved small object detection CTB-YOLO model for early detection of tip-burn and powdery mildew symptoms in coriander (Coriandrum sativum) for indoor environment using an edge...
Published 2025-12-01“…Early and accurate detection of these symptoms is critical for maintaining yield and quality, yet traditional visual inspection methods are subjective and prone to error. To address this, we developed an enhanced deep learning model, Coriander Tip-Burn YOLO (CTB-YOLO), specifically tailored for detecting small-object symptoms in coriander leaves, emphasizing the reduction of false-positive detections (FP), which could lead to erroneous alerts and unnecessary interventions. …”
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437
Next-generation diabetes diagnosis and personalized diet-activity management: A hybrid ensemble paradigm.
Published 2025-01-01“…Leveraging efficient learning and inference techniques, the study achieves a meager error rate of less than 30% using an extensive dataset comprising over 100 million user-rated foods. …”
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438
Heterogeneity, transient, and persistent technical efficiency: implications for African agrifood systems
Published 2025-05-01“…This study departs from conventional estimation of technical efficiency by distinguishing between transient and persistent technical efficiency while accounting for heterogeneity to gain insights for transforming agri-food systems in Africa. A four-error component stochastic frontier model with a translog specification, assuming a half-normal distribution, is applied to panel data comprising 980 observations from 49 countries between 2000 and 2019. …”
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439
Forecasting of energy consumption rate and battery stress under real-world traffic conditions using ANN model with different learning algorithms
Published 2025-02-01“…These insights can be applied to interventions like charging stations or reshaping bus timings to avoid power loss.…”
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440
Developing a Multi-Directional Lower-Limb Training System Toward Aging in Place Rehabilitation: A Preliminary Feasibility Study on Healthy Individuals
Published 2025-01-01“…Parameters such as mean of electromyography (EMG) peaks and pivoting instability during stepping tasks, and proprioceptive acuity in terms of pivoting angle error were tested using the system. By incorporating these diverse training modes, the training system can potentially be used to support clinicians in delivering tailored and effective subject-specific interventions for individuals with musculoskeletal and/or neuromuscular abnormalities toward aging-in-place rehabilitation.…”
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