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| http://dx.doi.org/10.4212/cjhp.v65i6.1198 | DOI Listing |
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A systematic review of portable technologies for the early assessment of motor development in infants.
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January 2025
Technology & Innovation Hub, Shirley Ryan AbilityLab, Chicago, IL, USA.
Early screening and evaluation of infant motor development are crucial for detecting motor deficits and enabling timely interventions. Traditional clinical assessments are often subjective, without fully capturing infants' "real-world" behavior. This has sparked interest in portable, low-cost technologies to objectively and precisely measure infant motion at home, with a goal of enhancing ecological validity.
View Article and Find Full Text PDFHigh-Precision prediction of curling trajectory multivariate time series using the novel CasLSTM approach.
Sci Rep
January 2025
Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, 150001, China.
As a multivariate time series, the prediction of curling trajectories is crucial for athletes to devise game strategies. However, the wide prediction range and complex data correlations present significant challenges to this task. This paper puts forward an innovative deep learning approach, CasLSTM, by introducing integrated inter-layer memory, and establishes an encoder-predictor curling trajectory forecasting model accordingly.
View Article and Find Full Text PDFHybrid clustering strategies for effective oversampling and undersampling in multiclass classification.
Sci Rep
January 2025
Department of Industrial Engineering, Sharif University of Technology, Azadi Ave., Tehran, 1458889694, Iran.
Multiclass imbalance is a challenging problem in real-world datasets, where certain classes may have a low number of samples because they correspond to rare occurrences. To address the challenge of multiclass imbalance, this paper introduces a novel hybrid cluster-based oversampling and undersampling (HCBOU) technique. By clustering and separating classes into majority and minority categories, this algorithm retains the most information during undersampling while generating efficient data in the minority class.
View Article and Find Full Text PDFCobalt regulation biocathode with sulfate-reducing bacteria for enhancing the reduction of antimony and the removal of sulfate in a microbial electrolysis cell simultaneously.
Environ Res
January 2025
School of Environmental Science and Engineering, Guangzhou University, Guangzhou, 510006, PR. China; Guangzhou University-Linköping University Research Center on Urban Sustainable Development, Guangzhou University, Guangzhou 510006, PR. China. Electronic address:
Antimony (Sb) contamination in water resources poses a critical environmental and health challenge globally. Sulfate reducing bacteria (SRB) are employed to reduce SO to S for removing Sb in a microbial electrolysis cell (MEC). Yet, the reduction efficiency of reducing SO and Sb(Ⅴ) through SRB remains relatively low, and the underlying mechanism remains elusive.
View Article and Find Full Text PDFMethods to Adjust for Confounding in Test-Negative Design COVID-19 Effectiveness Studies: Simulation Study.
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January 2025
Vaccine Study Center, Northern California Division of Research, Kaiser Permanente, Oakland, CA, United States.
Background: Real-world COVID-19 vaccine effectiveness (VE) studies are investigating exposures of increasing complexity accounting for time since vaccination. These studies require methods that adjust for the confounding that arises when morbidities and demographics are associated with vaccination and the risk of outcome events. Methods based on propensity scores (PS) are well-suited to this when the exposure is dichotomous, but present challenges when the exposure is multinomial.
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