2 research outputs found

    MEMS-based energy harvesting devices for low-power applications – a review

    No full text
    Recently, there have been notable advancements in energy harvesting from various sources, including mechanical vibrations, thermal gradients, and electromagnetic and solar radiations, intending to achieve sustainable micro/nanosystems. Micro-electromechanical systems (MEMS) and microfluidics have facilitated the development of smaller energy harvesters that offer a stable and portable power supply. MEMS-based piezoelectric power generators can harvest power from low-level ambient vibration sources. Still, their usage is limited by their low power output in the microwatt range and restricted operation frequency. There is an increasing interest in vivo therapies in harnessing energy from sources like ambient or human bodies. While MEMS-based energy harvesters hold the potential for powering implantable biomedical devices (IMD), their performance is hindered by various factors. However, experimental results show advancements achieved in vibration-based MEMS piezoelectric energy harvesters. The progress of micro-energy harvesters for IMD applications indicates that MEMS-based energy harvesters could be promising for low-power applications soon

    Assessment of mental well-being and its socio-economic determinants among older adults in the Rohingya refugee camp of Bangladesh

    No full text
    Abstract Older adults residing in refugee settlements with unhealthy living environments, inadequate access to health care services, and limited psychosocial support are vulnerable to experience mental health problems jeopardizing their mental well-being. The present study aims to explore the mental well-being status and its socio-economic determinants among the older adults living in the Rohingya refugee camp in Bangladesh. This cross-sectional study was conducted among adults aged β‰₯ 60 residing in five sub-camps within the Rohingya refugee camp of Cox’s Bazar, Bangladesh. Data were collected through face-to-face interviews conducted between November and December 2021. The 14-item Warwick-Edinburgh Mental Well-being Scale was used to assess mental well-being. A cumulated score was derived using the scale ranging from 14 to 70, with higher scores indicating greater levels of mental well-being. A generalized linear regression model was used to examine the socio-economic factors associated with the mental well-being of older adults. A total of 864 older adults participated in the study having a mean mental well-being score of 45.4. Regression analysis revealed that the difference in the logs of mental well-being score was expected to be significantly lower among participants aged 70–79Β years (Ξ²: βˆ’β€‰1.661; 95% CI: βˆ’β€‰2.750 to βˆ’β€‰0.572; p = 0.003), aged β‰₯ 80Β years (Ξ²: βˆ’β€‰3.198; 95% CI: βˆ’β€‰5.114 to βˆ’β€‰1.282; p = 0.001), and those with any non-communicable chronic conditions (Ξ²: βˆ’β€‰2.903; 95% CI: βˆ’β€‰3.833 to βˆ’β€‰1.974; p < 0.001) when compared to their counterparts. Conversely, the difference in the logs of mental well-being score was expected to be significantly higher among individuals with formal schooling (Ξ²: 3.370, 95% CI: 1.855 to 4.886, p < 0.001) and those having additional income besides aid (Ξ²: 1.629; 95% CI: 0.642 to 2.615; p = 0.001), compared to their respective counterparts. Our findings highlight the need to provide psychosocial assistance to older individuals, particularly those who live in large families, suffer from chronic diseases, and live in socio-economic deprivation
    corecore