Constructing a ocean Internet of Things requires an essential ocean environment monitoring system. However, the widely distributed existing ocean monitoring sensors make it impractical to provide power and transmit monitored information through cables. Therefore, ocean environment monitoring systems particularly need a continuous power supply and wireless transmission capability for monitoring information. Consequently, a high-strength, environmentally multi-compatible, floatable metamaterial energy harvesting device has been designed through integrated dynamic matching optimization of materials, structures, and signal transmission. The self-powered monitoring system breaks through the limitations of cables and batteries in the ultra-low-frequency wave environment (1 to 2 Hz), enabling real-time monitoring of various ocean parameters and wirelessly transmitting the data to the cloud for post-processing. Compared with solar and wind energy in the ocean environment, the energy harvesting device based on the defective state characteristics of metamaterials achieves a high-energy density (99 W/m). For the first time, a stable power supply for the monitoring system has been realized in various weather conditions (24 h).
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http://dx.doi.org/10.1038/s41467-024-50926-5 | DOI Listing |
J Med Internet Res
January 2025
Hospital Administration, Ramaiah Memorial Hospital, Bengaluru, Karnataka, India.
Background: Monitoring vital signs in hospitalized patients is crucial for evaluating their clinical condition. While early warning scores like the modified early warning score (MEWS) are typically calculated 3 to 4 times daily through spot checks, they might not promptly identify early deterioration. Leveraging technologies that provide continuous monitoring of vital signs, combined with an early warning system, has the potential to identify clinical deterioration sooner.
View Article and Find Full Text PDFAnal Chem
January 2025
College of Chemistry and Material Science, Northwest University, Xi'an 710127, China.
With rapid, energy-intensive, and coal-fueled economic growth, global air quality is deteriorating, and particulate matter pollution has emerged as one of the major public health problems worldwide. It is extremely urgent to achieve carbon emission reduction and air pollution prevention and control, aiming at the common problem of weak and unstable signals of characteristic elements in the application of laser-induced breakdown spectroscopy (LIBS) technology for trace element detection. In this study, the influence of the optical fiber collimation signal enhancement method on the LIBS signal was explored.
View Article and Find Full Text PDFEpidemiol Serv Saude
January 2025
Universidade de BrasÃlia, BrasÃlia, DF, Brazil.
Objective: To estimate and compare vaccination coverage among children born in 2017-2018 in São Paulo and Campinas, according to the Vaccination Coverage Survey (ICV 2020) and the National Immunization Program Information System (SI-PNI).
Methods: ICV 2020 analyzed vaccination card records. Coverage was calculated and compared to doses recorded on the SI-PNI, divided by the target population.
Epidemiol Serv Saude
January 2025
Ministério da Saúde, Secretaria de Vigilância em Saúde e Ambiente, BrasÃlia, DF, Brasil.
Objectives: To analyze access to pre-exposure prophylaxis (PrEP) for HIV in Brazil, comparing transgender and cisgender populations.
Methods: This was a descriptive study using data from the Medication Logistics Control System (Sistema de Controle LogÃstico de Medicamentos - SICLOM), related to the monitoring of PrEP between January 2018 and December 2023.
Results: During the period analyzed, 149,022 people initiated PrEP, of whom 139,423 (94%) were cisgender and 9,599 (6%) were transgender.
Environ Technol
January 2025
Department of Sanitary and Environmental Engineering, Federal University of Santa Catarina, Florianópolis, Brazil.
Precise estimates of vehicular emissions at fine spatial scales are essential for effective emission reduction strategies. Achieving high-resolution vehicular emission inventories necessitates detailed data on traffic flow, driving patterns, and vehicle speeds for each road network segment. However, in developing countries, the lack of comprehensive traffic data, limited infrastructure, and insufficient monitoring systems constrains the development of high-resolution inventories.
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