Purpose: The objective of this study was to explore functional improvements by sex for patients with refractory angina pectoris using a 6-min walk test (6MWT) after enhanced external counterpulsation (EECP) therapy.
Methods: All patients who completed EECP from 2015 to 2023 were identified for analysis retrospectively, utilizing the electronic medical record. Patients completed 35 1-hr EECP sessions 5 d/wk over 7 wk. All baseline and post-EECP intervention 6MWT, exertional angina, and dyspnea measurements were assessed on the first and last sessions, respectively. Paired and unpaired t tests and linear and stepwise multivariable regression analyses were performed.
Results: The cohort consisted of 116 patients (24 female) with a mean age of 69 ± 13 yr. After EECP, there was a mean improvement of 128 m (72%) in distance walked during the 6MWT ( P < .001) with 126 ± 91 m improvement in males and 134 ± 73 m in females. The improvement in angina and dyspnea scores was 3.5 ± 2.1 and 4.2 ± 2.4, respectively. There were no differences between the sexes for improvements in 6MWT distance, angina, or dyspnea. Univariate associations for change in 6MWT distance included body mass index (BMI; adjusted R2 = .05) and being a nonsmoker (adjusted R2 = .03). The only independent predictor for increasing distance during 6MWT was BMI (adjusted R2 = .1; P = .001).
Conclusion: Patients who have refractory angina pectoris can improve their functional capacity while simultaneously decreasing exertional angina and dyspnea using EECP. This study highlights the equal efficacy of EECP therapy for females.
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December 2024
School of Mechanical Engineering, Liaoning Engineering Vocational College, Tieling, 112008, Liaoning, People's Republic of China.
The paper proposes a multi-rigid-body system state identification method based on self-healing model in order to improve the accuracy and reliability of CNC machine tools. Firstly, considering the influence of the joint surface, the Lagrange method is used to establish the mechanical model of the multi-rigid-body system. We input acceleration information and use the second-order modulation function to complete the online real-time identification of the joint surface parameters, thereby establishing the self-healing mechanical model of the multi-rigid-body system.
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December 2024
Department of Electrical and Electronics Engineering, Engineering Faculty, Düzce University, Düzce, Turkey.
The study suggests a better multi-objective optimization method called 2-Archive Multi-Objective Cuckoo Search (MOCS2arc). It is then used to improve eight classical truss structures and six ZDT test functions. The optimization aims to minimize both mass and compliance simultaneously.
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December 2024
Medical Genomics Research Department, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia.
In order to plan and facilitate the culture of personalized / precision medicine in medical practices within any healthcare institution, it is requisite for healthcare professionals like clinicians to have a clear understanding and approach towards the practices of personalized genetic testing. This nationwide cross-sectional study aimed to measure the perceptions and knowledge of clinicians towards personalized genetic testing and assess their current practices of personalized genetic testing in clinical settings through an online self-administered questionnaire in Saudi Arabia. The results of the study revealed that almost two-fifths of participants were responsible for ordering genetic tests directly (39.
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December 2024
Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
EMG feedback improves force control of a myoelectric hand prosthesis by conveying the magnitude of the myoelectric signal back to the users via tactile stimulation. The present study aimed to test if this method can be used by a participant with a high-level amputation, and whose muscle used for prosthesis control (pectoralis major) was not intuitively related to hand function. Vibrotactile feedback was delivered to the participant's torso, while the control was tested using EMG from three different muscles.
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December 2024
Department of Computer Science, Birzeit University, P.O. Box 14, Birzeit, West Bank, Palestine.
Accurate classification of logos is a challenging task in image recognition due to variations in logo size, orientation, and background complexity. Deep learning models, such as VGG16, have demonstrated promising results in handling such tasks. However, their performance is highly dependent on optimal hyperparameter settings, whose fine-tuning is both labor-intensive and time-consuming.
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