Publications by authors named "Z S Huang"

With the popularity of circular economy around the world, transactions in the second-hand sailboat market are extremely active. Determining pricing strategies and exploring their regional effects is a blank area of existing research and has important practical and statistical significance. Therefore, this article uses the random forest model and XGBoost algorithm to identify core price indicators, and uses an innovative rolling NAR dynamic neural network model to simulate and predict second-hand sailboat price data.

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Decomposition-based multi-objective evolutionary algorithms (MOEAs) are popular methods utilized to address many-objective optimization problems (MaOPs). These algorithms decompose the original MaOP into several scalar optimization subproblems, and solve them to obtain a set of solutions to approximate the Pareto front (PF). The decomposition approach is an important component in them.

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The accurate and timely detection of biochemical coagulation indicators is pivotal in pulmonary and critical care medicine. Despite their reliability, traditional laboratories often lag in terms of rapid diagnosis. Point-of-care testing (POCT) has emerged as a promising alternative, which is awaiting rigorous validation.

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It was a rare case of a 52-year-old female with a slender PDA combined with PFO related to a transient ischemic attack that did not improve with aspirin and/or clopidogrel treatment. We closed the PDA using the ADO-II occluder and closed the PFO with the occluder, resulting in symptom resolution.

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Purpose: To evaluate the prognosis of eyelid sebaceous carcinoma (SeC) in patients with disease stage worse than IIA.

Methods: This retrospective, single-center study included 78 SeC patients. For stage II patients, 1:3 propensity score matching (PSM) was applied between those undergoing orbital exenteration and those receiving eye-sparing treatments.

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