A study on the correlation between lung injury severity and cardiac function through a closed-loop model.

Objective: Numerous clinical and pathological studies have confirmed that lung injury can cause cardiovascular disease, but there is no explanation for the mechanism by which the degree of lung injury affects cardiac function. We attempt to reveal this mechanism of influence by simulating a cyclic model.

Method: This study established a closed-loop cardiovascular model with a series of electrical parameters.

Characterization of organic release kinetics in particleboard using a dual model fitting methodology.

In modern society, people spend most of their time indoors engaging in their work and home life. However, indoor air pollution is a potential risk to health, and it is associated with many diseases. Wooden furniture, as the most popular indoor furniture used in modern times, is a major source of indoor air pollution, so it has become imperative to explore the composition and release kinetics characteristics of toxic and hazardous substances from wood-based panels.

An optimized visual loop mediated isothermal amplification assay for efficient detection of minute virus of mice with hydroxynaphthol blue dye.

Minute virus of mice (MVM) is one of the most prevalent infectious agents in laboratory mouse colonies. In this study, we optimized a loop-mediated isothermal amplification (LAMP) assay using hydroxynaphthol blue (HNB) for rapid and visual detection of MVM. The reaction, which entailed addition of HNB dye prior to amplification, was performed in one step in a single tube at 62 °C for 45 min.

PK15 cell line stably overexpressing IL2 enhances PCV2 replication.

Porcine circovirus type 2 (PCV2) is the primary agent responsible for porcine circovirus-associated diseases (PCVADs), which is acknowledged as one of the most economically important diseases for the swine industry worldwide. Currently, the development of PCV2 vaccine against PCVADs and for other applications require large amounts of viral particles. The low propagation rate of PCV2 in vitro limits vaccine production.

Inner approximation algorithm for generalized linear multiplicative programming problems.

An efficient inner approximation algorithm is presented for solving the generalized linear multiplicative programming problem with generalized linear multiplicative constraints. The problem is firstly converted into an equivalent generalized geometric programming problem, then some magnifying-shrinking skills and approximation strategies are used to convert the equivalent generalized geometric programming problem into a series of posynomial geometric programming problems that can be solved globally. Finally, we prove the convergence property and some practical application examples in optimal design domain, and arithmetic examples taken from recent literatures and GLOBALLib are carried out to validate the performance of the proposed algorithm.

An efficient method for generalized linear multiplicative programming problem with multiplicative constraints.

We present a practical branch and bound algorithm for globally solving generalized linear multiplicative programming problem with multiplicative constraints. To solve the problem, a relaxation programming problem which is equivalent to a linear programming is proposed by utilizing a new two-phase relaxation technique. In the algorithm, lower and upper bounds are simultaneously obtained by solving some linear relaxation programming problems.