The Causal Effect of 179 Plasma Lipid Groups on Immune Thrombocytopenia: A Mendelian Randomized Study.

Objective: Immune thrombocytopenia (ITP) is a common bleeding disorder. Although global lipidomic analyses have identified a potential role for lipid species in platelet function, there is currently no evidence to support a causal relationship between plasma lipids and ITP. To investigate this further, we conducted a two-sample Mendelian randomization analysis to determine whether there is a genetically predicted causal relationship between 179 plasma lipid groups and ITP.

[Study of perioperative safety of laparoscopic pancreaticoduodenectomy in elderly patients].

Objective: To investigate the safety of laparoscopic pancreaticoduodenectomy (LPD) in elderly patients and the related risk factors admitted to the intensive care unit (ICU) after LPD.

Methods: The perioperative data of patients who underwent LPD in Tianjin Medical University General Hospital from February 2017 to June 2023 were retrospectively collected, including basic data, preoperative laboratory indicators, intraoperative and postoperative indicators, pathological results (tumor size, lymph node dissection and pathological type), postoperative complications, ICU postoperative management and prognosis. The patients were divided into the elderly group (≥ 65 years) and the non-elderly group (< 65 years) according to age.

Precise detection of water surface through the analysis of a single green waveform from bathymetry LiDAR.

Determination of the correct water surface height (WSH) from green laser (532 nm) echoes alone in bathymetry LiDAR is challenging, as the green laser return near the water surface involves both specular reflection from the air-water interface and backscattered return from the water volume. In this paper, a low-complexity method based on linear approximation of the leading edge (LLE) is proposed. The results of this LLE method were compared with those of three common algorithms of peak detection, half peak power, and surface-volume-bottom implemented on airborne datasets with various surface roughness conditions.

A stepwise emission clustering analysis method for analyzing the effects of heavy metal emissions from multiple income groups.

Emissions of various heavy metals (i.e. Hg, As, Cd, Cr and Pb) have emerged as one of the most tremendous pressures on the socio-economic and environmental systems.

Sustainable conjunctive water management model for alleviating water shortage.

Water shortage poses a great challenge to the health of population and environment and impedes socio-economic development. Therefore, a comprehensive model is necessary to promote the adaptation of the whole socio-economic system to limited water resources. To achieve it, a sustainable conjunctive water management model (SCWM) was developed.

Unveiling Carbon Emission Attributions along Sale Chains.

Substantial anthropogenic emissions have resulted in serious environmental problems in China. Direct emissions and demand-pulled emissions along the supply chains have been extensively investigated. However, understanding the mechanism of how the sectoral emission is transferred through production activities along the sale chains at different production layers remains a challenge.

Robotic radical surgery for hilar cholangiocarcinoma: A single-centre case series.

Background: Radical resection for hilar cholangiocarcinoma is considered one of the most complicated abdominal operations. We report our initial experience with robotic radical resection for hilar cholangiocarcinoma.

Methods: Between March 2017 and February 2019, the perioperative outcomes of 48 patients were analysed.

Transfer of virtual water embodied in food: A new perspective.

Food and water are inextricably linked. With the increase of water consumption in irrigation and food growth, water shortage has become an urgent issue. Irrational cross-regional transfer of water embodied in food exacerbates water scarcity and restrict China's sustainable development.

Ecological network analysis of an urban water metabolic system based on input-output model: A case study of Guangdong, China.

When considering a region as a superorganism, there are various processes of metabolism that reflect the growth and maintenances of the system, as well as the interactions with the surroundings. Ecological Network Analysis combined with the input-output model is utilized to analyze the water consumption structure and the interaction control relationships among different sectors within the urban ecosystem. The integrated approach is applied to the case study of Guangdong Province, China.