Asset pools of investable funds are major sources of revenue for healthcare organizations. A prudent investment program can assure that these funds will be controlled adequately and managed efficiently. This type of program clearly defines the goals of investment, the characteristics of appropriate investment instruments, the means of monitoring and reporting fund activities, and the responsibilities and qualifications of the institutional investor.
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SCoT and ISSR based conservation genetics of Calligonum polygonoides Linn.: An endangered species of Thar desert.
Gene
January 2025
Department of Botany, Mohanlal Sukhadia University, Udaipur 313001, Rajasthan, India. Electronic address:
Calligonum polygonoides, an endangered species of desert due to poor regeneration and overexploitation, which requires immediate conservation attention. Genetic diversity analysis is crucial for effective conservation and management initiatives, for elite genotypes. Therefore, in the present study, SCoT (start codon target) and ISSR (inter simple sequence repeat) markers were used to investigate the genetic variability in 120 individuals of Calligonum polygonoides.
View Article and Find Full Text PDFThe TOXIN knowledge graph: supporting animal-free risk assessment of cosmetics.
Database (Oxford)
January 2025
Department of In Vitro Toxicology and Dermato-Cosmetology (IVTD), Vrije Universiteit Brussel, Laarbeeklaan 103, Brussels 1090, Belgium.
The European Union's ban on animal testing for cosmetic products and their ingredients, combined with the lack of validated animal-free methods, poses challenges in evaluating their potential repeated-dose organ toxicity. To address this, innovative strategies like Next-Generation Risk Assessment (NGRA) are being explored, integrating historical animal data with new mechanistic insights from non-animal New Approach Methodologies (NAMs). This paper introduces the TOXIN knowledge graph (TOXIN KG), a tool designed to retrieve toxicological information on cosmetic ingredients, with a focus on liver-related data.
View Article and Find Full Text PDFPrivate sector delivery of care for maternal and newborn health: trends over a decade in the Indian state of Bihar.
BMC Med
January 2025
Public Health Foundation of India, New Delhi, India.
Background: We synthesised the current evidence in coverage and quality of delivery care, change in neonatal mortality (NMR), and causes of neonatal death in the private sector deliveries in the Indian state of Bihar from 2011 to 2021.
Methods: Women aged 15-49 years with livebirths were interviewed in three household surveys involving state-representative samples in 2011, 2016 and 2020-2021 designed to document the coverage of maternal and newborn health services and change in NMR over time. Verbal autopsy interviews were used to assign the cause of neonatal death.
Development of a handheld GPU-assisted DSC-TransNet model for the real-time classification of plant leaf disease using deep learning approach.
Sci Rep
January 2025
Amal Jyothi College of Engineering (Autonomous), Kanjirappally, Kerala, India.
In agriculture, promptly and accurately identifying leaf diseases is crucial for sustainable crop production. To address this requirement, this research introduces a hybrid deep learning model that combines the visual geometric group version 19 (VGG19) architecture features with the transformer encoder blocks. This fusion enables the accurate and précised real-time classification of leaf diseases affecting grape, bell pepper, and tomato plants.
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