Nanomaterials (Basel)
December 2024
Microplastics (MPs) are emerging pollutants of global concern, while heavy metals such as copper ions (Cu) are longstanding environmental contaminants with well-documented toxicity. This study investigates the independent and combined effects of polystyrene microplastics (PS-MPs) and Cu on the physiological and biochemical responses of rice seedlings ( L.), a key staple crop.
View Article and Find Full Text PDFBackground: While research in multiple countries confirms that primary care functional features significantly improve patient health, China's primary care system differs markedly due to unique structural and contextual factors. This study aims to measure and explore the functional features experienced by patients received family doctor contract service in the past year, evaluating the impacts and pathways of these primary care features on health outcomes.
Methods: We employed a mixed-methods explanatory sequential design.
The origin of domestic sheep (Ovis aries) can be traced back to the Asian mouflon (Ovis gmelini), in the Near East around 10 000 years ago. Genetic divergence within mouflon populations can occur due to factors such as geographical isolation, social structures, and environmental pressures, leading to different affinities with domestic sheep. However, few studies have reported the extent to which mouflon sheep contribute to domestic sheep in different regions.
View Article and Find Full Text PDFPurpose: Severe combined immunodeficiency (SCID) is a set of rare monogenic inherited diseases that together represent the most severe form of the primary immunodeficiency disease phenotype. Preimplantation genetic testing for monogenic defects (PGT-M) is an effective reproductive technology strategy to prevent disease-causing gene mutations from being transmitted to offspring. The aim of this study was to report the use of PGT-M strategy based on karyomapping in four families to avoid the birth of SCID children.
View Article and Find Full Text PDFAs artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity.
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