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The aim of this study was to evaluate the efficacy and safety of cytokine-induced killer (CIK) cell therapy for solid carcinomas.We performed a computerized search of phase II/III clinical trial databases of CIK cell-based therapy using a combination of the terms 'cytokine-induced killer cells', 'tumor' and 'cancer'.Treatment with CIK cells was associated with a significantly improved half-year survival (P = 0.003), 1-year survival (P = 0.0005), 2-year survival (P0.01) and mean survival time (MST) (P0.001). Patients in the CIK group showed a prolonged half-year progression-free survival (PFS) (P0.01), 1-year PFS (P0.01) and median time to progression (MTTP) (P0.001). A favored disease control rate (DCR) was observed in patients receiving CIK cell therapy, while the objective response rate (ORR) was not altered (P = 0.05) compared with the non-CIK group (P = 0.007). CIK cell therapy could also reduce the adverse effects of grade III and IV leukopenia caused by chemotherapy (P = 0.002) and diminish hepatitis B virus (HBV)-DNA content (P0.01). However, the incidence of fever in the CIK therapy group was significantly higher than in the non-CIK group (P = 0.02). The percentage of CD3(+), CD4(+), CD4(+)CD8(+), CD3(-) CD56(+) and CD3(+) CD56(+) T-lymphocyte subsets in the peripheral blood of cancer patients was significantly increased, whereas the percentage of CD8(+) T-lymphocyte cells was significantly decreased in the CIK group compared with the non-CIK group (P0.01).CIK cell therapy has demonstrated a significant superiority in prolonging the MST, PFS, DCR and quality of life (QoL) of patients.

This paper applies extension comprehensive evaluation method to evaluate resources value flow (RVF) efficiency of coal-fired power plant (CFPP) in the development of circular economy, analyzes the influence factors of resource value efficiency level, and establishes the matter-element evaluation model of RVF efficiency for CFPP. It also illustrates the application process of extension comprehensive evaluation method through case studies, simply reflecting the efficiency level of RVF in CFPP.

It is based on the monitoring result a motor of 1600KW start of petro-chemical oil refinery in Urumqi , the paper probe and analyze that high-capacity motor’s start exercise bad influence over the power quality of circuit: voltage sag and harmonics current, and take some improving actions based on its features.

A hybrid inference framework is presented in which the aim is to select decision models through natural language in knowledge-based decision support system. In situations in which the rules that determine a system are uncertain and incomplete, the knowledge elicitation, maintenance and update of the rule-based system can be the problematic tasks. In such a situation, it has been found that a hybrid case-based and rule-based reasoning framework can provide a more effective and accurate means of performing such selection than other statistical methods and models. The hybrid framework results in capturing knowledge in context by storage of the case that prompted a new rule to be added, which aims at the unwanted side effects associated with typical rule reasoning system. This framework has been used to determine the inventory models in the decision support system. The results obtained from the experiment are presented with the both efficiency-improving and accuracy-improving.