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| http://dx.doi.org/10.46747/cfp.7004288 | DOI Listing |
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Machine learning techniques for non-destructive estimation of plum fruit weight.
Sci Rep
January 2025
Crop and Horticultural Science Research Department, Mazandaran Agricultural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Tajrish, Iran.
Plum fruit fresh weight (FW) estimation is crucial for various agricultural practices, including yield prediction, quality control, and market pricing. Traditional methods for estimating fruit weight are often destructive, time-consuming, and labor-intensive. In this study, we addressed the problem of predicting plum FW using artificial intelligence (AI) methods based on fruit dimensions.
View Article and Find Full Text PDFUnderstanding how users of home-based aged care services with cognitive impairment rate their social care related quality of life.
BMC Geriatr
January 2025
Deputy Director of the Health and Social Care Workforce Research Unit (HSCWRU), The Policy Institute, King's College London, 22 Kings Way, London, WC2B 6LE, England.
Background: Over the past decades, self-directed models of care have been implemented throughout the world to support older people, including those with dementia, to live at home. However, there is limited information about how self-directed home care is experienced by older people with cognitive impairment and dementia, and how their thinking informs their care choices and quality of life.
Methods: We used the ASCOT-Easy Read, a staggered reveal method, talk aloud techniques, probing questions, and physical assistance to support users of self-directed home care in Australia with cognitive impairment and dementia to discuss their Social Care Related Quality of Life (SCRQoL).
Polystyrene microplastics exhibit toxic effects on the widespread coral symbiotic Cladocopium goreaui.
Environ Res
January 2025
Guangxi Laboratory on the Study of Coral Reefs in the South China Sea, School of Marine Sciences, Guangxi University, Nanning, 530004, China.
Within the coral reef habitat, members of the Symbiodiniaceae family stand as pivotal symbionts for reef-building corals. However, the physiological response of Symbiodiniaceae on microplastics are still poorly understood. Research conducted in this investigation assessed the harmful impact of polystyrene microparticles (PS-MPs) on Cladocopium goreaui, a Symbiodiniaceae species with a broad distribution.
View Article and Find Full Text PDFComparison of gene expression and polycyclic aromatic compound profiles in hepatic tissue of black guillemot (Cepphus grylle) collected from an oil spill site and a non-spill site in the Arctic.
Mar Pollut Bull
January 2025
Science and Technology Branch, Environment and Climate Change Canada, Ottawa, Ontario K1A 0H3, Canada. Electronic address:
Economic development, marine transportation, and oil exploration are all activities that are increasing in the Arctic region, and there is concern regarding increased oil-related contaminants entering this sensitive environment. Polycyclic aromatic compounds (PACs) are the main chemical constituents in oil-related contaminants and have been detected in wildlife species following both acute and chronic exposure. In 2020, an oil spill occurred in Kaikopok Bay near Postville, NL, Canada.
View Article and Find Full Text PDFPredicting the likelihood of readmission in patients with ischemic stroke: An explainable machine learning approach using common data model data.
Int J Med Inform
December 2024
Department of Health Policy and Management, School of Medicine, Kangwon National University, 510 School of Medicine Building #1 (N414), 1, Kangwondaehak-gil, Chuncheon-si, Gangwon-do 24341, Republic of Korea; Department of Preventive Medicine, Kangwon National University Hospital, 156 Baengnyeong-ro, Chuncheon-si, Gangwon-do 24289, Republic of Korea; Team of Public Medical Policy Development, Gangwon State Research Institute for People's Health, 880 Baksa-ro, Seo-myeon, Chuncheon-si, Gangwon-do 24461, Republic of Korea. Electronic address:
Background: Ischemic stroke affects 15 million people worldwide, causing five million deaths annually. Despite declining mortality rates, stroke incidence and readmission risks remain high, highlighting the need for preventing readmission to improve the quality of life of survivors. This study developed a machine-learning model to predict 90-day stroke readmission using electronic medical records converted to the common data model (CDM) from the Regional Accountable Care Hospital in Gangwon state in South Korea.
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