Fish oil improves hemodynamic stabilization and inflammation after resuscitation in a rat model of hemorrhagic shock

BACKGROUND: Hemorrhagic shock followed by resuscitation stimulates an inflammatory response. This study tests the hypothesis that treatment with fish oil will attenuate inflammatory responses and stabilize hemodynamics. METHODS: Male SD rats (n = 48; 250~300 g) were randomly divided into 4 groups: SHAM, hemorrhagic shock (HS), hemorrhagic shock/resuscitation (HS/R) and fish oil (FO). Shock was induced, and a mean arterial pressure (MAP) was maintained at 35 to 40 mmHg for 60 minutes. Resuscitation was carried out by returning half of the shed blood and Ringer's lactate solution to the animal. In FO group, fish oil (0.2 g/Kg) was infused through caudal vena at 30 minutes after shock. Half of each group was killed at 30 minutes and at 4 hours after resuscitation. Then several kinds of inflammation and oxidative stress indicators such as IL-6, MPO and GSH were tested. RESULT: FO group required less resuscitative fluid and had higher urinary output at the recovery periods from hemorrhagic shock than HS/R group(p < 0.001). After resuscitation, the MAP of HS/R group markedly declined than FO group (p < 0.001). The inflammatory indexes of FO group were lower than HS group and HS/R group and the same as sham group. But the level of endotoxin in FO group was significantly higher than sham group at 4 hours. CONCLUSION: Fish oil pretreatment before fluid resuscitation showed a beneficial effect to the hemodynamic stabilization and inflammation reduction in HS/R rat model

An Empirical Study on the Influencing Factors of University Students’ Sense of Gain in Ideological and Political Theory Course -- Take the Course of “Ideological and Moral Cultivation and Legal Basis”as An Example

The self-made questionnaire was administered to&nbsp;a random sample of 1000 undergraduates, the result of data&nbsp;analysis shows that the “Mechanism model of influencing&nbsp;factors on university students’ ‘Basic Course’&nbsp; gain” proposed&nbsp;in this paper can partly explain the influence of personal,&nbsp;family, school and social factors on college students’ “Basic&nbsp;Course” acquisition; The factors of family, school and&nbsp;society are the external factors which affect the students’&nbsp;sense of gain of“Basic Course”, and the personal factors are&nbsp;the internal factors which affect the students’ sense of gain of&nbsp;“Basic Course”; External factors act through internal factors.&nbsp;Based on that, this paper puts forward some suggestions and&nbsp;countermeasures to enhance the sense of gain of university students’“Basic courses”

Dynamic Analysis of Splash-zone Crossing Operation for a Subsea Template

Subsea templates are steel structures used to support subsea well components. Normally, offshore crane vessels are employed to install them to the target location on the seabed. Crossing the splash-zone during the lowering of a subsea template is considered the most critical phase during the installation due to slamming loads and needs to be studied to provide the operational weather criterion during the planning phase. In this study, dynamic response analysis has been carried out to evaluate the allowable sea states for the plash-zone crossing phase of the subsea templates. The numerical model of the lifting system, including the crane vessel and the subsea template, is firstly built in the state-of-the-art numerical program SIMA-SIMO. Then, dynamic analysis with time-domain simulations is carried out for the lifting system under various sea states. The disturbed wave field due to the shielding effects from the installation vessel is considered when calculating the hydrodynamic forces on the template. Statistical modelling of the dynamic responses from different wave realizations is used to estimate the extreme responses of various sea states. The application of the generalized extreme value distribution and Gumbel distribution in fitting the extreme responses is discussed. Moreover, the influence of the shielding effects from the vessel, as well as the influence of the changing size of the suction anchor on the hydrodynamic responses and the allowable sea states are studied.publishedVersio

Stabilizer Approximation

We propose a heuristic method to obtain the approximate groundstate for a Hamiltonian in the qubit form, based on the stabilizer formalism. These states may serve as proper initial states for further refined computation. It would be interesting to assess the efficiency and scalability of the method.Comment: 10 page

Weakly supervised deep semantic segmentation using CNN and ELM with semantic candidate regions.

The task of semantic segmentation is to obtain strong pixel-level annotations for each pixel in the image. For fully supervised semantic segmentation, the task is achieved by a segmentation model trained using pixel-level annotations. However, the pixel-level annotation process is very expensive and time-consuming. To reduce the cost, the paper proposes a semantic candidate regions trained extreme learning machine (ELM) method with image-level labels to achieve pixel-level labels mapping. In this work, the paper casts the pixel mapping problem into a candidate region semantic inference problem. Specifically, after segmenting each image into a set of superpixels, superpixels are automatically combined to achieve segmentation of candidate region according to the number of image-level labels. Semantic inference of candidate regions is realized based on the relationship and neighborhood rough set associated with semantic labels. Finally, the paper trains the ELM using the candidate regions of the inferred labels to classify the test candidate regions. The experiment is verified on the MSRC dataset and PASCAL VOC 2012, which are popularly used in semantic segmentation. The experimental results show that the proposed method outperforms several state-of-the-art approaches for deep semantic segmentation

Comparative study on two deployment methods for large subsea spools

The demand for subsea spool deployment is increasing with the expansion of offshore projects. For a project to install multiple spools, different deployment methods can be used. The choice of method may influence the safety and the total cost of the project. Thus, it is important to evaluate different deployment methods in the planning phase. This study addresses weather window analysis of two deployment methods for large subsea spools. The purpose is to compare the efficiency of the two methods in terms of total installation time for projects with different numbers of spools. Numerical modeling and time-domain simulations of the critical activities are carried out. The simulations together with the operational criteria provide the allowable sea states, which are the key input for weather window analysis. Hindcast data from a site in the Barents Sea are used for weather window analysis. The total installation time is compared for various months, different total numbers of spools and transportation durations. The influence of the possible increase of the allowable sea states for the critical activity on the total installation time is also evaluated. Through the comparative studies, recommendations to select the proper deployment method for different situations are provided.publishedVersio