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In clinical practice, informed consent to anesthesia technology is still a unique field of anesthesiology. For patients with mental disorders, anesthesiologists' neglect of the process of informed consent has become a weak link in clinical work. With the primitive moral instinct of humans and based on sympathetic moral care for patients with mental disorders, proxy consent is considered to be beneficial to patients, but in reality, there are many factors that restrict their rights in anesthesia informed consent. In the medical model of doctor-patient joint decision-making, patients with mild mental disorders should be involved in the informed consent process as much as possible, and the depth and breadth of the information provided depend on the patient's insight. The path to truly obtaining informed consent for anesthesia from patients with mental disorders needs to be optimized. Through multi-disciplinary cooperation and other methods, we can achieve real informed consent and protect the rights of patients with mental disorders.

Using multi-walled carbon nanotubes (MWCNTs) as a novel sorbent and a new special anionic chromatographic column for pesticide residues, an ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method was developed for the simultaneous direct determination of glufosinate ammonium and its metabolites 3-methylphosphino-propionic acid and N-acetylglufosinate ammonium in milk. The samples were extracted with methanol, cleaned up using MWCNTs, and degreased by high-speed centrifugation at low temperature. The analytes were separated on an Anionic Polar Pesticide (2.1 mm × 100 mm, 5 μm) column using a mobile phase containing 0.9% formic acid solution (A) and 0.9% formic acid solution-acetonitrile (B). The instrument was operated in the negative ion scanning mode with multiple reaction monitoring. Glufosinate ammonium was quantified by an internal standard method, and its two metabolites by an external standard method. The calibration curves for glufosinate ammonium and its two metabolites were linear in the concentration range of 1–50, 2–50 and 2–50 μg/L with correlation coefficient (R2) greater than 0.99. For these compounds, the limits of detection were 2.5, 5.0 and 5.0 μg/kg, and the limits of quantification were 5.0, 10.0 and 10.0 μg/kg, respectively. The recoveries ranged from 79.35% to 101.80%, with relative standard deviation (RSD) between 1.15% and 8.63%. The proposed method is characterized by simple pretreatment, stable chromatographic conditions, low impurity interference, high sensitivity and good accuracy, and is suitable for the determination of glufosinate ammonium and its metabolite residues in milk.

Abstract:Aiming to design a simulate software of human tissue modeling and analysis，Visual Studio 2010 is selected as a development tool to develop a 3 D reconstruction software of human tissue with language C++.It can be used alone. It also can be a module of the virtual surgery systems. The system includes medical image segmentation modules and 3 D reconstruction modules，and can realize the model visualization. This software system has been used to reconstruct hip muscles，femur and hip bone accurately. The results show these geometry models can simulate the structure of hip tissues.

The present work focuses on the in-plane shear respond and failure mode of large size honeycomb sandwich composites which consist of plain weave carbon fabric laminate skins and aramid paper core. A special size specimen based on a typical element of aircraft fuselage was designed and manufactured. A modified in-plane shear test method and the corresponding fixture was developed. Three large size specimens were tested. The distributed strain gauges were used to monitor the mechanical response and ultimate bearing capacity. The results show that a linear respond of displacement and strain appears with the increase of the load. The average shear failure load reaches 205.68 kN with the shear failure occurring on the face sheet, and the maximum shear strain monitored on the composite plate is up to 16,115 με. A combination of theoretical analysis and finite element method (FEM) was conducted to predict the shear field distribution and the overall buckling load. The out-of-plane displacement field distribution and in-plane shear strain field distribution under the pure shear loading were revealed. The theoretical analysis method was deduced to obtain the variation rule of the shear buckling load. A good agreement was achieved among the experiment, theoretical analysis, and FEM results. It can be concluded that the theoretical analysis method is relatively conservative, and the FEM is more accurate in case of deformation and strain. The results predicted by h element and p element methods are very close. The results of the study could provide data support for the comprehensive promotion of the design and application of honeycomb sandwich composites.

The study investigated potential changes in bioactive milk proteins in relation to the season, breed, farm and udder health status. Nine hundred and sixty bulk milk samples from 12 commercial farms in northwest China were collected during 2020–2021. Six bioactive proteins including fraction of β‐casein proteins, α‐lactalbumin, β‐lactoglobulin, lactoferrin (Lf) and osteopontin were evaluated. It was found that most proteins (with exception of β‐casein A1) of Jersey cows are significantly higher than Holstein cows. Most bioactive proteins demonstrated seasonal variation, and some exhibited geographical variation (with exception of whey albumins). The milk somatic cell count showed a positive correlation with immune proteins such as Lf. [ABSTRACT FROM AUTHOR]