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Synergistic removal of Hg, HCl, and SO from flue gas in municipal solid waste incineration by mechanically modified fly ash.
J Environ Manage
December 2024
Key Laboratory of Power Station Energy Transfer Conversion and System, Ministry of Education, North China Electric Power University, Beijing, 102206, China.
The emissions of flue gas components (such as Hg, SO, HCl) and the generation of hazardous waste fly ash from municipal waste incineration pose a significant threat to environmental integrity. In this study, a mechanochemical method combined with a modifier is innovatively proposed for the modification of fly ash to remove Hg. In the fixed bed adsorption experiment, the removal efficiency of up to 60 percent can be achieved by ball milling (700rap,30min) alone.
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Department of Neurosurgery, Institute of Neurosciences, Apollo Specialty Hospital, Chennai, Tamil Nadu, India.
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Lightweight skin cancer detection IP hardware implementation using cycle expansion and optimal computation arrays methods.
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Department of Dermatology, The First Affiliated Hospital of Ningbo University, Ningbo, 315000, China.
Skin cancer is recognized as one of the most perilous diseases globally. In the field of medical image classification, precise identification of early-stage skin lesions is imperative for accurate diagnosis. However, deploying these algorithms on low-cost devices and attaining high-efficiency operation with minimal energy consumption poses a formidable challenge due to their intricate computational demands.
View Article and Find Full Text PDFThe power and perils of large language models in haematology.
Br J Haematol
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Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, New York, USA.
Large language models (LLMs) are a transformative technology poised to fundamentally change multiple fields including haematology. Here, we review the history of large language model development, describe their current capabilities and identify opportunities in haematology poised to benefit from their judicious application. We conclude by suggesting a framework for the safe and ethical development of LLM-derived tools in a way that minimizes risk and maximizes clinical benefit for haematology physicians and patients.
View Article and Find Full Text PDFHarnessing AI and analytics to enhance cybersecurity and privacy for collective intelligence systems.
PeerJ Comput Sci
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Faculty of Management, Comenius University in Bratislava, Odbojárov, Bratislava, Slovakia.
Collective intelligence systems like Chat Generative Pre-Trained Transformer (ChatGPT) have emerged. They have brought both promise and peril to cybersecurity and privacy protection. This study introduces novel approaches to harness the power of artificial intelligence (AI) and big data analytics to enhance security and privacy in this new era.
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