Publications by authors named "He-Xin Lin"

Taking Kuye River, a typical river in the Yulin National Energy and Chemical Base as the research object, 16 polycyclic aromatic hydrocarbons (PAHs) concentrations were measured from 59 water samples collected in the dry and wet seasons. The seasonal distribution characteristics of PAHs were analyzed, and the positive definite matrix factorization model (PMF) was used to analyze the PAHs pollution sources. By combining PMF and the human health risk assessment model (HHR), the PMF-HHR risk source quantitative analysis coupling model was established, and the contribution of various pollution sources to population health risk was calculated.

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The seasonal freeze-thaw period is a critical time for restoring soil fertility. Winter irrigation during this period alters soil moisture in agricultural fields, which in turn affects the soil's temperature, nutrients, and microbial factors within the soil micro-environment. Soil microorganisms play a crucial role in soil nitrogen fixation.

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Background: Colorectal cancer, one of the most common malignancies, is primarily treated through surgery. With the widespread use of laparoscopy, gastrointestinal reconstruction remains a key area of research. The choice between intraperitoneal anastomosis (IA) and extraperitoneal anastomosis (EA) remains a subject of considerable debate.

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Explicit mathematical reconstructions of quantum combs play a significant role in developing quantum information science. However, tremendous parameter requirements and physical constraint implementations have become computationally nonignorable encumbrances. In this Letter, we propose an efficient method for quantum comb tomography by learning isometries on the Stiefel manifold via solving a series of unconstrained optimization problems with significantly fewer parameters.

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Article Synopsis
  • Laparoscopic radical gastrectomy is increasingly common for gastric cancer, raising concerns about perioperative complications.
  • A predictive model was developed using data from 998 patients to forecast complications within 30 days post-surgery, employing machine learning methods like lasso regression and random forest for enhanced prediction accuracy.
  • The random forest model proved particularly effective in predicting serious complications and showed promising stability and performance in validation, suggesting its potential for widespread clinical application.
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With continuous increases in the amount and duration of plastic film used, the residual film in farmland soil is accumulated and tended to be fragmented, which affects soil water infiltration. We carried out an experiment of one-dimensional vertical infiltration of soil moisture. We examined the effects of different residual film density and area on soil water cumulative infiltration under 21 experimental treatments with 5 residual film area levels (0.

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Salinization is recognized as a threat to agricultural productivity and land resources in global arid desert regions. To date, field soil improvement schemes have met with minimal success to date. We aimed to improve saline-alkali soils by assessing the effects of combining subsurface pipe (P) and vertical well (S) drainage measures on agricultural soils ecosystem.

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In the last few years, V-domain Ig-containing suppressor of T cell activation(VISTA) has been reported as a prognostic biomarker in articles including various solid tumours. However, their conclusions have been controversial. For this reason, we performed this meta-analysis to further verify the prognostic value of VISTA in solid tumours.

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