Search Results - Cheng Hong
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Life table and survival analysis of Tilia breviradiata population in Dashu Mountain
Published 2010-05-01Get full textIn order to know the population dynamics of Tilia breviradiata in Dashu Mountain of Hefei City, the quadrat investigation was conducted on its age structure, life table and fecundity according to population structure of diameter class. A static life table of T. breviradiata was worked out and the ha...
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Impedance analysis and optimization research of power distribution network
Published 2025-06-01Get full textAbstract The impedance characteristics of Power Distribution Networks (PDN) at the circuit level have always been critical in high-speed circuit design. However, to address power integrity issues caused by the reduction in chip feature sizes and the rapid increase in integrated circuit transistors c...
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Correction: Forecasting outbound student mobility: A machine learning approach.
Published 2025-01-01Get full text[This corrects the article DOI: 10.1371/journal.pone.0238129.].
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Forecasting outbound student mobility: A machine learning approach.
Published 2020-01-01Get full text<h4>Background</h4>A country's ability to become a prominent knowledge economy is tied closely to its ability to acquire skilled people who can compete internationally while resolving challenges of the future. To equip students with competence that can only by gained by being immers...
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Pulmonary Artery Stent Implantation for Fibrosing Mediastinitis: Our Clinical Experience
Published 2025-04-01Get full textABSTRACT Fibrosing mediastinitis (FM) can block pulmonary vessels and airways, hindering treatment efficacy. Pulmonary artery (PA) stenting might provide a solution in such cases. This study involved 30 patients who had 49 PA stenting procedures for FM. Data on baseline characteristics, CT pulmonary...
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Performance of ChatGPT-4o and Four Open-Source Large Language Models in Generating Diagnoses Based on China’s Rare Disease Catalog: Comparative Study
Published 2025-06-01Get full textAbstract BackgroundDiagnosing rare diseases remains challenging due to their inherent complexity and limited physician knowledge. Large language models (LLMs) offer new potential to enhance diagnostic workflows. ObjectiveThis study aimed to evaluate the diagnostic...
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