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Article
UV-B-Priming Combined with the Soil Application of MWCNT Enhances Rice Growth Performance Under Salt Stress
Soil salinization poses a serious threat to sustainable ecological agricultural development. Most crops are susceptible to salt stress during the growth phase of seed germination and seedling emergence. Seed p...
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Article
Ablative minimally invasive surgical therapies for benign prostatic hyperplasia: A review of Aquablation, Rezum, and transperineal laser prostate ablation
Benign prostatic hyperplasia (BPH) is one of the most common diseases affecting men and can present with bothersome lower urinary tract symptoms (LUTS). Historically, transurethral resection of the prostate (T...
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Article
Open AccessPrecise genome-editing in human diseases: mechanisms, strategies and applications
Precise genome-editing platforms are versatile tools for generating specific, site-directed DNA insertions, deletions, and substitutions. The continuous enhancement of these tools has led to a revolution in th...
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Article
Open AccessVNP20009-Abvec-Igκ-MIIP suppresses ovarian cancer progression by modulating Ras/MEK/ERK signaling pathway
Ovarian cancer poses a significant threat to women’s health, with conventional treatment methods encountering numerous limitations, and the emerging engineered bacterial anti-tumor strategies offer newfound ho...
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Article
Open AccessNon-monetary narratives motivate businesses to engage with climate change
The dominant narrative to motivate business actors to take climate actions emphasizes opportunities to increase monetary gains, linking sustainability to the financial goals of these organizations. The prevale...
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Article
Open AccessPrecordial pain induced by the isolated cardiac hydatid cyst in interventricular septum: a case report
Human hydatid disease occurs after infection with Echinococcus granulosus, mainly involves liver and lung, while hydatid involves heart is infrequent. A great majority of hydatid diseases could be asymptomatic, a...
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Article
Gut microbiota mediates the alleviative effect of polar lipids-enriched milk fat globule membrane on obesity-induced glucose metabolism disorders in peripheral tissues in rat dams
Obesity during pregnancy and lactation not only increases the incidence of metabolic disorders and gestational diabetes in mothers, but also programs adiposity and related metabolic diseases in offspring. The ...
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Article
Synthesis of a cerium-based nanomaterial with superior oxidase-like activity for colorimetric determination of glutathione in food samples
Enzyme-like nanomaterials have received significant attention for their high stability and low cost. However, most nanomaterials require complicated synthesis processes, limiting the range of their potential a...
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Article
Open AccessTransannular patch repair of tetralogy of Fallot with or without monocusp valve reconstruction: a meta-analysis
Tetralogy of Fallot (TOF) is one of the most common cyanotic congenital heart diseases. Pulmonary regurgitation is the most common and severe comorbidity after transannular patch (TAP) repair of TOF patients. ...
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Article
Open AccessTetralogy of fallot in addition to anomalous aortic origin of a coronary artery in a 1-year-old boy: a case report
Anomalous aortic origin of a coronary artery (AAOCA) is a rare congenital heart disease, characterized by the coronary artery inappropriately originates from the aorta. It is usually classified according to th...
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Chapter and Conference Paper
A High-Performance Basketball Game Forecast Using Magic Feature Extraction
It remains a challenge to predict real basketball game in a high-performance manner. In this study, we develop a magic feature extraction algorithm and its supporting techniques to tackle this problem. Our mod...
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Chapter and Conference Paper
Patent Text Mining on Technology Evolution Path in 5G Communication Field
5G communication is a pioneering topic in current technology development. Deciphering the evolution path of 5G technology is crucial for relevant companies to formulate technology strategies. This paper employ...
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Article
Application of deep learning neural network to identify collision load conditions based on permanent plastic deformation of shell structures
In this work, we have developed a novel deep learning inverse solution or identification method to determine and identify the impact load conditions of shell structures based on their final state of damage or ...
