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Modeling the environmental Kuznets Curve: A stochastic approach using economic and climate data.
J Environ Manage
January 2025
School of Mathematics and Statistics, University of Sydney, Sydney, NSW, Australia.
This research chooses Pakistan as an ideal case to explore the connection between economic expansion and carbon emissions, by incorporating a novel approach of using coupled stochastic equations to estimate this dynamic interaction.The GDP (Gross domestic product) in Pakistan has been ascending over the time of 1960-2023, with short episodes of stagnation (mid 80s) and decline (1973, 2009). Since 2010, the growth rate has been rising annually, reaching 4.
View Article and Find Full Text PDFA Pressing Emergency in Oncology: A Case Series of Patients With Posterior Reversible Encephalopathy Syndrome.
Cureus
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Department of General Medicine, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, IND.
Background: The defining characteristic of posterior reversible encephalopathy syndrome (PRES) is a reversible, predominantly vasogenic edema of the white matter, particularly affecting the parenchyma supplied by the posterior circulation. PRES is most commonly associated with hypertension. We present a case series of seven normotensive patients diagnosed with cancer who had posterior reversible encephalopathy syndrome.
View Article and Find Full Text PDFWeakly supervised deep learning-based classification for histopathology of gliomas: a single center experience.
Sci Rep
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Department of Neurosurgery, West China Hospital, Sichuan University, 37 Guoxue Avenue, Chengdu, 610041, People's Republic of China.
Multiple artificial intelligence systems have been created to facilitate accurate and prompt histopathological diagnosis of tumors using hematoxylin-eosin-stained slides. We aimed to investigate whether weakly supervised deep learning can aid in glioma diagnosis. We analyzed 472 whole slide images (WSIs) from 226 patients in West China Hospital (WCH) and 1604 WSIs from 880 patients in The Cancer Genome Atlas (TCGA).
View Article and Find Full Text PDFKey frame extraction algorithm for surveillance videos using an evolutionary approach.
Sci Rep
January 2025
Department of Computer Science and Engineering, Amrita School of Computing, Coimbatore, Amrita Vishwa Vidyapeetham, India, 641112.
With rapid technological advancements, videos are captured, stored, and shared in multiple formats, increasing the requirement for summarization techniques to enable shorter viewing durations. Key Frame Extraction (KFE) algorithms are crucial in video summarization, compression, and offline analysis. This study aims to develop an efficient KFE approach for generic videos.
View Article and Find Full Text PDFGait-based Parkinson's disease diagnosis and severity classification using force sensors and machine learning.
Sci Rep
January 2025
Department of Computer Science & Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India.
A dual-stage model for classifying Parkinson's disease severity, through a detailed analysis of Gait signals using force sensors and machine learning approaches, is proposed in this study. Parkinson's disease is the primary neurodegenerative disorder that results in a gradual reduction in motor function. Early detection and monitoring of the disease progression is highly challenging due to the gradual progression of symptoms and the inadequacy of conventional methods in identifying subtle changes in mobility.
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