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http://dx.doi.org/10.1111/jpc.12994 | DOI Listing |
Microb Biotechnol
January 2025
Laboratory of Microbiology, Institute of Biology, University of Neuchatel, Neuchatel, Switzerland.
The inadequate removal of pharmaceuticals and personal care products (PPCPs) by traditional wastewater treatment plants (WWTPs) poses a significant environmental and public health challenge. Residual PPCPs find their way into aquatic ecosystems, leading to bioaccumulation in aquatic biota, the dissemination of antibiotic resistance genes (ARGs), and contamination of both water sources and vegetables. These persistent pollutants can have negative effects on human health, ranging from antibiotic resistance development to endocrine disruption.
View Article and Find Full Text PDFNanomicro Lett
January 2025
College of Environmental Science and Engineering, State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, Siping Rd 1239, Shanghai, 200092, People's Republic of China.
Fluorinated gases (F-gases) play a vital role in the chemical industry and in the fields of air conditioning, refrigeration, health care, and organic synthesis. However, the direct emission of waste gases containing F-gases into the atmosphere contributes to greenhouse effects and generates toxic substances. Developing porous materials for the energy-efficient capture, separation, and recovery of F-gases is highly desired.
View Article and Find Full Text PDFIssue: The digital transformation of the U.S. health care system is underway, but the role of health care chief information officers (HCIOs) in that transformation has been unclear.
View Article and Find Full Text PDFTransl Behav Med
January 2025
Slone Epidemiology Center at Boston University, 72 E Concord St, Boston, MA, USA.
Artificial intelligence (AI) and its subset, machine learning, have tremendous potential to transform health care, medicine, and population health through improved diagnoses, treatments, and patient care. However, the effectiveness of these technologies hinges on the quality and diversity of the data used to train them. Many datasets currently used in machine learning are inherently biased and lack diversity, leading to inaccurate predictions that may perpetuate existing health disparities.
View Article and Find Full Text PDFNurs Philos
January 2025
State Examination in Vocational Education, Vocational Specialization: Nursing and Health Science; Second Subject: Social Studies. (Germany, Bavaria; comp. Master Degree); Scientific Assistant at Medical School Berlin, Berlin, Germany.
The transformation of societies' age structures has intensified the need for nursing care, especially in economically developed regions of the world. This will necessitate societal decisions that determine how care needs are met in the long term. This article offers a sociological perspective on nursing care using Luhmann's systems theory.
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