Publications by authors named "F Z Si"

Contemporary anticancer drugs are often accompanied by varying degrees of cardiovascular toxicity, with hypertension emerging as one of the most prevalent side effects, particularly linked to inhibitors of vascular endothelial growth factor receptor (VEGFR) and tyrosine kinase inhibitors (TKIs). Hypertension induced by cancer therapies contributes to increased cardiovascular mortality in cancer patients and survivors. Given the shared common risk factors and overlapping pathophysiological mechanisms, hypertension is also a prevalent comorbidity in this patient population.

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Single-bundle (SB) and double-bundle (DB) anterior cruciate ligament reconstruction (ACLR) have been compared for years, and long-term outcomes of the two techniques remain inconclusive. We compared the 10-year outcomes of SB and DB reconstruction, in terms of subjective scores, knee stability, graft failure, and osteoarthritis (OA). We searched MEDLINE, Embase, and Cochrane Central Register of Controlled Trials for relevant studies, without restrictions on study design, language, or publication date.

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Objective: Constructing a predictive model for the occurrence of heart disease in elderly hypertensive individuals, aiming to provide early risk identification.

Methods: A total of 934 participants aged 60 and above from the China Health and Retirement Longitudinal Study with a 7-year follow-up (2011-2018) were included. Machine learning methods (logistic regression, XGBoost, DNN) were employed to build a model predicting heart disease risk in hypertensive patients.

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Background: Cognitive behavioral therapy (CBT) is an effective treatment for adults with attention-deficit/hyperactivity disorder (ADHD), but its use is limited by poor accessibility and time constraints-barriers that internet-based CBT (iCBT) may help overcome. This trial aimed to explore the short- and long-term efficacy of iCBT in medicated adults with ADHD.

Methods: Eighty-six adults with ADHD were randomized into two groups: the iCBT combined with medication group (iCBT+M, n = 43) and the medication-only group (n = 43).

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In physical spaces, pointing interactions cannot rely on cursors, rays, or virtual hands for feedback as in virtual environments; users must rely solely on their perception and experience to capture targets. Currently, research on modeling target distribution for pointing interactions in physical space is relatively sparse. Area division is typically simplistic, and theoretical models are lacking.

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