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The effect of cigarette smoking on ovarian reserve as measured by basal serum follicle stimulating hormone (FSH) concentrations, and by the response to a standard ovarian stimulation protocol, was examined retrospectively in 173 consecutive women (108 non-smokers and 65 smokers) undergoing in-vitro fertilization (IVF) and embryo transfer treatment. Women who smoked had a higher mean basal serum FSH concentration (P < or = 0.0001), in particular younger (<36 years) women, and required a statistically significantly higher mean dosage of gonadotrophins for ovarian stimulation than the non-smokers (48.1 +/- 15.6 versus 38.9 +/- 13.6 ampoules, 75 IU/ampoule; P < 0.0001). A lower mean number of oocytes was obtained in smokers than non-smokers (6.2 +/- 3.4 versus 11.1 +/- 6.3, oocytes P < or = 0.0001) and the rate of abandoned cycles (18.5 versus 8.5%) and total fertilization failure (18.5 versus 8.5%) was higher. The clinical pregnancy rate per cycle in smokers was 16.9% versus 21.3% in non-smokers but this was not statistically significant. In conclusion, cigarette smoking in women appears to significantly reduce their ovarian reserve and lead to poor response to ovarian stimulation at an earlier age.

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Novel multidisciplinary treatment combined with neoadjuvant intraperitoneal-systemic chemotherapy protocol (NIPS) and peritonectomy was developed. Ninety-six patients were enrolled. Peritoneal wash cytology was performed before and after NIPS through a port system. Patients were treated with 60 mg/m2 of oral S-1 for 21 days, followed by a 1-week rest. On days 1, 8, and 15, 30 mg/m2 of Taxotere and 30 mg/m2 of cisplatin with 500 mL of saline were introduced through the port. NIPS is done 2 cycles before surgery. Three weeks after NIPS, 82 patients were eligible to intend cytoreductive surgery (CRS) by gastrectomy + D2 dissection + periotnectomy to achieve complete cytoreduction. Sixty-eight patients showed positice cytology before NIPS, and the positive cytology results became negative in 47 (69%) patients after NIPS. Complete pathologic response on PC after NIPS was experienced in 30 (36.8%) patients. Stage migration was experienced in 12 patients (14.6%). Complete cytoreduction was achieved in 58 patients (70.7%). By the multivariate analysis, complete cytoreduction and pathologic response became a significantly good survival. However the high morbidity and mortality, stringent patient selection is important. The best indications of the therapy are patients with good pathologic response and PCI ≤ 6, which are supposed to be removed completely by peritonectomy.

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This work presents a mixed‐integer dynamic optimization (MIDO) formulation for the simultaneous process design, cyclic scheduling, and optimal control of a methyl methacrylate (MMA) continuous stirred‐tank reactor (CSTR). This article makes two specific contributions. The first consists of incorporating process dynamics into grade transitions to determine changeover times and profiles, as opposed to using fixed changeover times as in previous works dealing with design, scheduling, and dynamic optimization. A second contribution is that the steady states that describe each polymer grade are left as functions of decision variables, which has not been done in the integration of design, scheduling, and dynamic optimization. Also, this work incorporates uncertainty in product demands. The corresponding mathematical formulation includes the differential equations that describe the dynamic behavior of the system, resulting in a MIDO problem. The differential equations were discretized using the simultaneous approach, based on ortogonal collocation on finite elements, rendering a mixed integer non‐linear programming (MINLP) problem, where a profit function is to be maximized. The objective function includes product sales, some capital and operational costs, inventory costs, and transition costs. The optimal solution to this problem involves design decisions: flow rates, feeding temperatures and concentrations, equipment sizing, variables values at steady state; scheduling decisions: grade productions sequence, cycle duration, production quantities, inventory levels; and optimal control results: transition profiles, durations, and transition costs. The problem was formulated and solved in two ways: as a deterministic model and as a two‐stage stochastic programming problem with hourly product demands as uncertain parameters described by discrete distributions. © 2008 American Institute of Chemical Engineers AIChE J, 2008

tive form of MMP-13 or one of its intermediate forms. Also, zymographic analysis of the tumor specimens revealed strong gelatinolytic bands of MMP-13 and MMP-2, whereas these bands in normal mucosa were weak. There was no significant relationship between MMP-13 mRNA expression and histologic type, lymph node metastasis, wall invasion, or distant metastasis. However, patients with MMP-13 mRNA-positive tumors had a poorer prognosis than those with MMP-13-mRNA-negative cancer. Furthermore, patients with simultaneous expression of MMP-13 and MT1-MMP mRNA showed the poorest prognosis, as compared with those having tumors expressing either MMP-13 or MT1-MMP, or neither MMP-13 nor MT1-MMP mRNA. Conclusion. These findings suggest that MMP-13 expression may contribute to the progression of gastric cancer, and its coordinate overexpression with MT1-MMP and/or MMP-2 may have a cooperative effect in the progression of gastric cancer.