Background: This study aims to evaluate the postoperative safety, long-term survival, and postoperative peritoneal metastases (PPM) rate associated with laparoscopic surgery (LS) for T4 colon cancer.
Materials And Methods: After propensity score matching, there were 68 patients in each of the LS and Open surgery groups. The primary outcomes were the 3-year OS, DFS, and PPM rates.
Aims: Edentulism's impact on overall well-being is widely recognized, but there is limited information on regional and sex disparities in its global burden. This study aims to fill this gap by providing an updated picture of edentulism's burden by region and sex and predicting its global trend for the next 2 decades.
Methods: This study analyzed and reported Global Burden of Disease (GBD) data on the prevalence, incidence, and disability adjusted life years (DALYs) of edentulism, with a breakdown by sex and sociodemographic index (SDI).
The rational design of highly efficient and cost-effective oxygen evolution reaction (OER) electrocatalysts is crucial for hydrogen production through electrocatalytic water splitting. Although the crystalline/amorphous heterostructure shows great potential in enhancing OER activity, its fabrication presents significantly greater challenges compared to that of crystalline/crystalline heterostructures. Herein, a microwave irradiation strategy is developed to construct reduced graphene oxide supported crystalline NiP/amorphous FePO heterostructure (NiP/FePO/RGO) as an efficient OER electrocatalyst.
View Article and Find Full Text PDFColloids Surf B Biointerfaces
December 2024
In the study, Sargassum horneri (S. horneri) was used to create a novel zeolite-like algal biochar (KSBC). KSBC with doping of N, O, S, Al, and Si, displayed zeolite-like properties, including well-developed porosity, a high specific surface area (1137.
View Article and Find Full Text PDFThis study tackled mislabeling fraud in vegetable oils, driven by price disparities and profit motives, by developing an approach combining desorption electrospray ionization mass spectrometry (DESI-MS) with a shallow convolutional neural network (SCNN). The method was designed to characterize lipids and distinguish between nine vegetable oils: corn, soybean, peanut, sesame, rice bran, sunflower, camellia, olive, and walnut oils. The optimized DESI-MS method enhanced the ionization of non-polar glycerides and detected ion adducts like [TG + Na], [TG + NH].
View Article and Find Full Text PDF