A new idea of self-control and rapid-charged circuit used in the cantilever piezoelectric generator has been proposed aiming at resolving the problem that the current power storage circuit is charged slowly.Through analyzing the output characteristics of the cantilever piezoelectric generator using the super-capacitor as the load and by using MATLAB/Simulink simulation tool to obtain the fastest charged time stage of the super-capacitor,a new self-control and rapid-charged circuit with a micro-power control core ATmega168 has been designed.The experimental results show that the circuit is 3 times faster than the circuit which using the traditional charging method.The rapid-charged and self-control functions for the micro-generator can be achieved by using the proposed circuit.It can be used to supply energy to low-power consumption devices,sensors and high instantaneous power consumption circuit in the environment of mechanical vibration.
In coronavirus disease 2019 (COVID-19) patients, interleukin (IL)-6 is one of the leading factors causing death through cytokine release syndrome. Hence, identification of IL-6 downstream from clinical patients' transcriptome is very valid for analyses of its mechanism. However, clinical study is conditional and time consuming to collect optional size of samples, as patients have the clinical heterogeneity. A possible solution is to deeply mine the relative existing data. Several transcriptome-based studies on other diseases or treatments have revealed different genes to be regulated by IL-6. Through our meta-analysis of these transcriptome datasets, 352 genes were suggested to be regulated by IL-6 in different biological conditions, some of which were related to virus infection and cardiovascular disease. Among them, 232 genes were not identified by current transcriptome studies from clinical research. ICAM1 and PFKFB3 were the most significantly upregulated genes in our meta-analysis and could be employed as biomarkers in patients with severe COVID-19. In general, a meta-analysis of transcriptome datasets could be an alternative way to analyze the immune response and complications of patients suffering from severe COVID-19 and other emergency diseases.
Single Extracellular Vesicles Physical and biochemical characterization for single extracellular vesicles (EVs) has been gaining more attention for disease diagnosis. With the development of micromachining technologies, microfluidic chips can analyze EVs with precise manipulation, low cost and high portability. In the foreseeable future, the combination of EVs characterization with microfluidics and gradually individualizing them will be a meaningful direction. These considerations are reviewed by Daxiang Cui, Hossam Haick, Ning Tang, and co-workers, in article 2202437.
We introduce a novel fabrication of a stretchable circuit based on a polydimethylsiloxane (PDMS) substrate for wireless posture measurement. To prevent the typical emergence of cracks attributed to thermal mismatch between the metal seed layer and the PDMS substrate, an intermittent process is proposed to deposit a metal seed layer directly on a PDMS substrate. Afterward, the resistance of the S-shape Cu-wire in the stretchable circuit was measured at different strain states. Results showed that the resistance of a Cu-wire within 55mm×0.2 mm×0.012mm increased not more than 0.060 Ω at 30% strain from 0.735 Ω at zero strain. Finally, the wireless posture measurement system was verified through body posture experiments.
Aim Previous studies have shown that chronic diseases are strongly linked to the development of sarcopenia. Few studies have assessed the relationship between multimorbidity patterns and sarcopenia. This study aimed to investigate the impact of multimorbidity patterns on sarcopenia transitions in Chinese older adults. Methods A total of 3842 older adults (aged 66.7 ± 6.2 years) with complete data at baseline and at least one follow‐up record (2 years) were included from the China Health and Retirement Longitudinal Study. Multimorbidity patterns were identified using latent class analysis. Sarcopenia was determined by the Asian Working Group for Sarcopenia 2019 criteria. Multistage Markov modeling was used to explore the association of multimorbidity patterns with sarcopenia transitions after controlling for covariates in demographic features, health status and health‐related behaviours. Results Four multimorbidity patterns were identified at baseline: respiratory (17.73%), osteoarthritis‐hypertension (22.23%), digestive‐osteoarthritis (26.78) and cardiometabolic (33.27%). Participants with non‐sarcopenia had 1‐year transition probability of developing possible sarcopenia (10.1%) or sarcopenia (5.4%). Compared with the group without chronic diseases, the presence of cardiometabolic pattern increased the risk of progression from non‐sarcopenia to possible sarcopenia (HR 1.43, 95% CI 1.05–2.95). The presence of the osteoarthritis‐hypertension pattern (HR 1.55, 95% CI 1.00–2.41) and the digestive‐osteoarthritis pattern (HR 1.78, 95% CI 1.20–2.66) were associated with the transition toward sarcopenia from non‐sarcopenia. Conclusions Sarcopenia is a dynamic condition in older adults. To address sarcopenia in older adults, tailored interventions should be targeted at populations with different multimorbidity patterns. Geriatr Gerontol Int 2024; 24: 1137–1143 .
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