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A new risk assessment model of venous thromboembolism by considering fuzzy population.
BMC Med Inform Decis Mak
December 2024
Department of Respiration, Peking Union Medical College Hospital, No.1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Background: Inpatients with high risk of venous thromboembolism (VTE) usually face serious threats to their health and economic conditions. Many studies using machine learning (ML) models to predict VTE risk overlook the impact of class-imbalance problem due to the low incidence rate of VTE, resulting in inferior and unstable model performance, which hinders their ability to replace the Padua model, a widely used linear weighted model in clinic. Our study aims to develop a new VTE risk assessment model suitable for Chinese medical inpatients.
View Article and Find Full Text PDFUnraveling the small tie problem mystery: Size effects from finger counting to mental strategies in addition.
J Exp Child Psychol
December 2024
Institute of Psychology, Faculty of Social and Political Sciences (SSP), University of Lausanne, CH-1015 Lausanne, Switzerland. Electronic address:
Determining how children solve arithmetic problems when they stop using their fingers is a real challenge. To take it up, the evolution of problem-size effects for tie and non-tie problems was observed when 6-year-olds (N = 65) shift from finger counting to mental strategies. These observations revealed that the problem-size effect remained the same for non-tie problems, whereas it drastically decreased for tie problems.
View Article and Find Full Text PDFDynamic reconfiguration of multiobjective distribution networks considering the variation of load and DG using a novel LDEDBO algorithm.
Sci Rep
December 2024
College of Electric Engineering, Naval University of Engineering, Wuhan, 430033, China.
To address the challenges related to active power dissipation and node voltage fluctuation in the practical transformation of power grids in the field of new energy such as wind and photovoltaic power generation, an improved Dung Beetle Optimization Algorithm Based on a Hybrid Strategy of Levy Flight and Differential Evolution (LDEDBO) is proposed. This paper systematically addresses this issue from three aspects: firstly, optimizing the DBO algorithm using Chebyshev chaotic mapping, Levy flight strategy, and differential evolution algorithm; secondly, validating the algorithm's feasibility through real-time network reconfiguration at random time points within a 24-h period; and finally, applying the LDEDBO to address the dynamic reconfiguration problems of the IEEE-33 and IEEE-69 node bus. The simulation indicates that the power dissipation of the IEEE-33 node bus is decreased by 28.
View Article and Find Full Text PDFA skipping spectrum sensing scheme based on deep reinforcement learning for transform domain communication systems.
Sci Rep
December 2024
College of Electronic Engineering, National University of Defense Technology, Hefei, 230000, China.
Spectrum sensing is a key technology and prerequisite for Transform Domain Communication Systems (TDCS). The traditional approach typically involves selecting a working sub-band and maintaining it without further changes, with spectrum sensing being conducted periodically. However, this approach presents two main issues: on the one hand, if the selected working band has few idle channels, TDCS devices are unable to flexibly switch sub-bands, leading to reduced performance; on the other hand, periodic sensing consumes time and energy, limiting TDCS's transmission efficiency.
View Article and Find Full Text PDFAnterograde amnesia recurrence in temporal lobe epilepsy with amygdala-enlargement.
BMJ Case Rep
December 2024
Department of Psychiatry, Osaka University, Suita, Osaka, Japan.
Temporal lobe epilepsy (TLE) can cause different types of memory impairments. Here, we report a case of immediate improvement of memory impairment following antiepileptic drug (AED) treatment in a patient with TLE with amygdala enlargement (TLE-AE), who rapidly developed recurrence. The patient was a man in his 60s whose family members complained of his amnesia.
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