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Exploring the ocean has always been one of the foremost challenges for humankind, and fish classification is one of the crucial tasks in this endeavor. Manual fish classification methods, although accurate, consume significant time, money, and effort, while computer-based methods such as image processing and traditional machine learning often fall short of achieving high accuracy. Recently, deep convolutional neural networks have demonstrated their capability to ensure both time efficiency and accuracy in this task. However, deep convolutional networks typically have a large number of parameters, requiring substantial training time, and the convolutional operations lack attentional mechanisms. Therefore, in this paper, we propose the AttentionConvMixer neural network with Priority Channel Attention (PCA) and Priority Spatial Attention (PSA). The proposed approach exhibits good performance across all three fish classification datasets without introducing any additional parameters, thus demonstrating the effectiveness of our proposed method. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the effectiveness of proprioceptive training on balance performance, trunk control, and gait speed in people with stroke. Methods: We searched PubMed, Science Direct, Cochrane, Embase, and Medline for randomized controlled trials that evaluated the effects of proprioceptive training for patients with stroke from the date of each database's inception to July 26, 2021. Two reviewers independently screened the titles and abstracts of potentially eligible articles that were identified on the basis of the search criteria. Methodological quality was determined using version 2 of the Cochrane risk of bias tool for randomized trials. Data were analyzed using Comprehensive Meta-Analysis software. The treatment effect was estimated by calculating Hedges' g and 95% confidence intervals (CIs) using a random-effects model. Statistical heterogeneity was assessed according to the I 2 value. The primary outcome was balance performance and secondary outcomes were trunk control, gait speed, and basic functional mobility. Results: In total, 17 trials involving 447 people with stroke were included. Proprioceptive training had a significant effect on balance performance (Hedges' g = 0.69, 95% CI = 0.36–1.01), gait speed (Hedges' g = 0.57, 95% CI = 0.19–0.94), trunk control (Hedges' g = 0.75, 95% CI = 0.33–1.17), and basic functional mobility (Hedges' g = 0.63, 95% CI = 0.31–0.94) among people with stroke. Conclusion: Proprioceptive training may be effective in improving balance performance, gait speed, trunk control, and basic functional mobility among people with stroke. [ABSTRACT FROM AUTHOR]

Aim: To assess the effects of self‐management interventions on systolic blood pressure, diastolic blood pressure, self‐efficacy, medication adherence and body mass index in older adults with hypertension. Background: Effective treatment of hypertension may require the practice of self‐management behaviours. However, evidence on effects of self‐management interventions on blood pressure, self‐efficacy, medication adherence and body mass index in older adults with hypertension is lacking. Design A systematic review and meta‐analysis. Data sources: CINAHL, Cochrane Library, Embase, Ovid‐Medline, PubMed, Scopus, Web of Science and other sources were searched to October 2020. Review methods: Data were analysed using Comprehensive Meta‐Analysis 2.0 and quality assessment was done using ROB 2.0. The pooled effect sizes were reported as Hedges' g values with corresponding 95% confidence intervals using a random‐effects model. Results: Twelve randomized controlled trials met our inclusion criteria. The results revealed that self‐management interventions significantly decreased blood pressure and increased self‐efficacy and medication adherence in older adult patients with hypertension, with no significant effect on body mass index. Conclusions: Self‐management interventions have considerable beneficial effects in older adults with hypertension. Health care providers should implement self‐management interventions to strengthen the patient's role in managing their health. SUMMARY STATEMENT: What is already known about this topic? Current evidence suggests self‐management interventions as a potential strategy for decreasing blood pressure in patients with hypertension.There is limited evidence of the effectiveness of self‐management interventions on blood pressure, self‐efficacy, medication adherence and body mass index in older adults with hypertension. What this paper adds? Self‐management interventions can decrease systolic blood pressure, diastolic blood pressure and improve self‐efficacy and medication adherence in older adults with hypertension. The implication of this paper: Findings highlight the importance of implementing self‐management programs in older adult patients with hypertension.Health care providers should implement self‐management interventions that are tailored to the individual's level of self‐efficacy to strengthen the patient's role in managing their health care. [ABSTRACT FROM AUTHOR]

This paper proposes a simple but effective method to reduce the torque ripple for direct torque control (DTC) of induction motor drives. The proposed DTC provides a global minimum torque ripple, which satisfies the root-mean-square (rms) criteria of torque ripple. Such a global minimum torque ripple DTC has not been derived before. The proposed global minimum torque ripple DTC is a two-step design. The first step drives the torque error to zero at the end of the control period. Then, the second step reduces the torque bias and rms ripple by modifying the asymmetry switching patterns of the applied voltage vectors of the first step into symmetry ones. Theoretical analysis is provided to show that the torque ripple of the proposed DTC is a global minimum rms ripple. Furthermore, to verify the effectiveness of this study, a DSP-based experimental induction motor DTC drive system is built. Simulation and experimental results verify that the torque ripple performance has been improved. [ABSTRACT FROM AUTHOR]

Progressive narrowing of the upper airway increases airflow resistance and can produce snoring sounds and apnea/hypopnea events associated with sleep-disordered breathing due to airway collapse. Recent studies have shown that acoustic properties during snoring can be altered with anatomic changes at the site of obstruction. To evaluate the instantaneous association between acoustic features of snoring and the anatomic sites of obstruction, a novel method was developed and applied in nine patients to extract the snoring sounds during sleep while performing dynamic magnetic resonance imaging (MRI). The degree of airway narrowing during the snoring events was then quantified by the collapse index (ratio of airway diameter preceding and during the events) and correlated with the synchronized acoustic features. A total of 201 snoring events (102 pure retropalatal and 99 combined retropalatal and retroglossal events) were recorded, and the collapse index as well as the soft tissue vibration time were significantly different between pure retropalatal (collapse index, 24  ±  11%; vibration time, 0.2  ±  0.3 s) and combined (retropalatal and retroglossal) snores (collapse index, 13  ±  7% [P ≤ 0.0001]; vibration time, 1.2  ±  0.7 s [P ≤ 0.0001]). The synchronized dynamic MRI and acoustic recordings successfully characterized the sites of obstruction and established the dynamic relationship between the anatomic site of obstruction and snoring acoustics. [ABSTRACT FROM AUTHOR]