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Recycling of Polyurethane Foams via Glycolysis: A Review.

Materials (Basel)

September 2024

Institute of Agricultural Engineering, Wrocław University of Environmental and Life Sciences, 37 Chełmońskiego Str., 51-630 Wrocław, Poland.

Polyurethane foams constitute highly problematic waste due to their low density and consequently large volume. Among the most promising recycling approaches, the glycolysis of polyurethane waste stands out and was extensively discussed in this article. Existing literature reviews lack a detailed analysis of glycolysis processes and a clear presentation of the most important data.

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Article Synopsis
  • The study analyzes patent literature on substances of medicine food homology (SMFH) in China over the last 20 years, revealing trends and the current patent landscape.
  • Research shows that pharmaceutical applications of SMFH have a higher technical threshold than food services, with significant R&D activity concentrated in southeast China, particularly in academic institutions.
  • The SMFH industry in China is shifting towards a high-quality model, necessitating stricter patent application standards to meet evolving demands.
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Dementia and mild cognitive impairment (MCI) represent significant health challenges in an aging population. As the search for noninvasive, precise and accessible diagnostic methods continues, the efficacy of electroencephalography (EEG) combined with deep convolutional neural networks (DCNNs) in varied clinical settings remains unverified, particularly for pathologies underlying MCI such as Alzheimer's disease (AD), dementia with Lewy bodies (DLB) and idiopathic normal-pressure hydrocephalus (iNPH). Addressing this gap, our study evaluates the generalizability of a DCNN trained on EEG data from a single hospital (Hospital #1).

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China's technology is developing rapidly, and the number of patent applications has surged. Therefore, there is an urgent need for technical managers and researchers that how to apply computer technology to conduct in-depth mining and analysis of lots of Chinese patent documents to efficiently use patent information, perform technological innovation and avoid R&D risks. Automatic term extraction is the basis of patent mining and analysis, but many existing approaches focus on extracting domain terms in English, which are difficult to extend to Chinese due to the distinctions between Chinese and English languages.

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Objective: To explore the value and factors influencing the maintenance of valid Traditional Chinese Medicine compound prescription patents for the management of mammary gland hyperplasia.

Methods: The State Intellectual Property Office Patents Database, China Patent Information Center Patents Database, Soopat Patent Search Platform, and CNIPR Search Platform of Chinese and Foreign Patent Database were searched to identify Traditional Chinese Medicine compound prescription patents for mammary gland hyperplasia that had been maintained for at least 5 years. Logistic regression analysis was used to detect the factors influencing the maintenance of valid patents.

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