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Advancing Knowledge on Machine Learning Algorithms for Predicting Childhood Vaccination Defaulters in Ghana: A Comparative Performance Analysis
Published 2025-07-01“…This study evaluated the utility of machine learning algorithms for predicting childhood vaccination defaulters in Ghana, addressing the limitations of traditional statistical methods when handling complex, high-dimensional health data. …”
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Analysis to Predict the Number of New Students At UNU Pasuruan using Arima Method
Published 2025-01-01“…This study aims to evaluate the historical pattern of new student admissions at UNU Pasuruan and predict the number of new students in the coming years using the ARIMA (Auto Regressive Integrated Moving Average) method. The data used is historical data on new student admissions in the last five years, which is analyzed to identify trends, seasonality, and fluctuation patterns. …”
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Inference with Pólya-Gamma Augmentation for US Election Law
Published 2025-03-01“…Second, the approach can be successfully applied to several types of models, including nonlinear mixed-effects models for count data. The effectiveness of PG augmentation has led to its widespread adoption and implementation in statistical software packages, such as version 2.1 of the R package BayesLogit. …”
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CancerClarity app: Enhancing cancer data visualization with AI-generated narratives
Published 2025-12-01“…Converting quantitative cancer statistics to narrative descriptions using large language models (LLMs) may help cancer centers communicate complex cancer data more effectively to diverse stakeholders.Methods: The CancerClarity app employs LLM prompting within the R Shiny web framework, sourcing data from Cancer InFocus. …”
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Development of Augmented Reality-Based Gymnastics Learning Media
Published 2025-06-01“…A total of 25 stu-dents aged 20 to 25 were then selected as samples, using the random sampling technique to participate in this study. The data obtained were statistically examined using the r-correlation method. …”
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A Deep Learning Method for Human Sleeping Pose Estimation with Millimeter Wave Radar
Published 2024-09-01“…We rigorously evaluated our method with an experimentally acquired data set which contains sleeping radar sequences from 16 volunteers. …”
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A Two-Dimensional DOA Estimation Method Based on Virtual Extension of Sparse Array
Published 2021-01-01“…Furthermore, the virtual received signal of the augmented array is obtained by the second-order statistic of the received data. …”
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IMPACT OF AUGMENTED REALITY-BASED NEURONAVIGATION ON NEUROSURGICAL EDUCATION AND TRAINING
Published 2025-01-01Get full text
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The Implementation Outcomes and Population Impact of a Statewide IT Deployment for Family Caregivers: Mixed Methods Study
Published 2024-12-01“…One of the major goals is to expand data, research, and evidence-based practices to support family caregivers. …”
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A Distributed Detection Method for Quality-related Faults in Complex Non-stationary Industrial Processes
Published 2024-11-01“…The statistical characteristics of process data time series in the production process typically vary over time due to changes in production conditions, unknown external interference, load fluctuations, and other factors. …”
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The Effect of Augmented Reality as Learning Media on Table Tennis Learning Interest
Published 2025-04-01“…The prerequisite test results show that the experimental and control class data are normal and homogeneous so that the para-metric statistical test is carried out, namely the t-test. …”
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Adaptive Augmented Reality Architecture for Optimising Assistance and Safety in Industry 4.0
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Relationship of the Alternative Communication Methods by Nurse With Work Environment and Patient Safety Culture in Intensive Care Units
Published 2025-03-01“…Data were collected from May to June 2022 using the hospital survey on patient safety culture (HSOPSC), nursing work index (NWI) and an AAC method use questionnaire. …”
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Radiographic Assessment of Bone Width Improvement in Narrow Ridge Patients Managed with Ridge Split Technique: A Prospective Study
Published 2025-05-01“…It presents a less invasive and cost-effective alternative to traditional ridge augmentation methods. However, the study’s limitations include a small sample size and a shorter monitoring period. …”
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CASSAD: Chroma-Augmented Semi-Supervised Anomaly Detection for Conveyor Belt Idlers
Published 2024-11-01“…To address this, we propose the chroma-augmented semi-supervised anomaly detection (CASSAD) method, designed to perform effectively with limited labelled data. …”
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Digital augmentation of aftercare for patients with anorexia nervosa: the TRIANGLE RCT and economic evaluation
Published 2025-07-01“…These were transformed into quality-adjusted life-years (QALYs) using published UK population tariffs calculated using the time trade-off method. Data on health service utilisation, productivity loss and patient out-of-pocket expenses were collected at baseline and 12 months using a modified online version of the Client Service Receipt Inventory. …”
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Prospective Evaluation of Rate of Hindfoot/Ankle Fusion with Augment Injectable Bone Graft
Published 2024-12-01“…All patient reported outcomes demonstrated improvement from preoperatively to final follow-up with VAS, FFI, FAAM, and VR12 showing statistically significant improvement. Conclusion: This prospective study demonstrates that Augment ® Injectable Bone Graft is an acceptable alternative to allograft for either primary or revision hindfoot arthrodesis procedures with 78% of patients achieving fusion on a 4-month postoperative CT scan and with steady noted improvement in multiple validated patient-reported outcome measures. …”
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The effect of education based on interactive augmented reality technology on students' creativity and problem solving
Published 2024-09-01“…Available sampling method was used to select the statistical sample. …”
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Intersecting factors of disadvantage and discrimination and their effect on daily life during the coronavirus pandemic: the CICADA-ME mixed-methods study
Published 2025-02-01“…Methods We used a transformative, convergent parallel mixed-methods design integrating three strands – quantitative, qualitative and a secondary data strand – across three phases over 18 months, to answer the study objectives. …”
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