Chlorophyll a fluorometry has long been used as a method to study phytoplankton in the ocean. In situ fluorometry is used frequently in oceanography to provide depth-resolved estimates of phytoplankton biomass. However, the high price of commercially manufactured in situ fluorometers has made them unavailable to some individuals and institutions. Presented here is an investigation into building an in situ fluorometer using low cost electronics. The goal was to construct an easily reproducible in situ fluorometer from simple and widely available electronic components. The simplicity and modest cost of the sensor makes it valuable to students and professionals alike. Open source sharing of architecture and software will allow students to reconstruct and customize the sensor on a small budget. Research applications that require numerous in situ fluorometers or expendable fluorometers can also benefit from this study. The sensor costs US$150.00 and can be constructed with little to no previous experience. The sensor uses a blue LED to excite chlorophyll a and measures fluorescence using a silicon photodiode. The sensor is controlled by an Arduino microcontroller that also serves as a data logger.
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http://dx.doi.org/10.3390/s130607872 | DOI Listing |
Front Parasitol
May 2024
Department of Parasitology, Leiden University Medical Center, Leiden, Netherlands.
Detection of spp. DNA in gynaecological samples by quantitative real-time polymerase chain reaction (qPCR) is considered to be the reference diagnostic test for female genital schistosomiasis (FGS). However, qPCR needs expensive laboratory procedures and highly trained technicians.
View Article and Find Full Text PDFJACC Adv
December 2024
Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Rheumatic heart disease (RHD) is an important public health problem in Africa. Mapping the epidemiology of RHD involves elucidating its geographic distribution, temporal trends, and demographic characteristics. The prevalence of RHD in Africa varies widely, with estimates ranging from 2.
View Article and Find Full Text PDFJACC Adv
December 2024
University of Texas Health Sciences Center, Houston, Texas, USA.
The burden of cardiovascular disease has declined in high-income countries in the past 3 decades but is growing in low- and middle-income countries due to epidemiological, demographic, and socioeconomic shifts. A range of cost-effective policies and interventions are available for advancing cardiovascular health (CVH) through primordial, primary, and secondary prevention. We showcase multifaceted challenges that stifle the global progress of CVH including shortcomings in financial protection, health systems, primary health care, national health policies, service coverage, and surveillance.
View Article and Find Full Text PDFOpen Forum Infect Dis
January 2025
Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia.
Background: HIV pre-exposure prophylaxis (PrEP) is highly effective but not widely used by men who have sex with men (MSM; 27%) in China.
Methods: In June 2023, an online cross-sectional survey with a discrete choice experiment (DCE) was distributed to PrEP-eligible MSM in China who were at least 18 years old. The DCE explored attributes of PrEP modality (daily pill, on-demand pill, injections, implants), clinical care model (same-day, 2-visit, telehealth prescription), medication pickup (clinic, community health center, pharmacy, MSM-focused community-based organization, home delivery), enhanced support (self-management, smartphone app, text reminder, anonymous peer support group), and cost.
Appl Sci (Basel)
June 2024
Department of Biomechanics and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE 68182, USA.
Understanding metabolic cost through biomechanical data, including ground reaction forces (GRFs) and joint moments, is vital for health, sports, and rehabilitation. The long stabilization time (2-5 min) of indirect calorimetry poses challenges in prolonged tests. This study investigated using artificial neural networks (ANNs) to predict metabolic costs from the GRF and joint moment time series.
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