Search

The application of new information technologies such as the Internet of Things (IoT) has caused a deep impact on production and operations management in various fields. In this paper, a mixed-integer programming model is proposed to generate integrative decision-making in the IoT-enabled fresh agri-products supply chains. The designed model integrates three key stages, that is, planting, storage, and distribution, to help growers make the optimal decisions for maximising revenue. Decisions are made after comprehensive consideration of market factors such as price and demand as well as agricultural characteristics such as crop yield and shelf life. Results of numerical experiments show that significant improvement of benefits can be obtained through the overall decision-making of planting, storage, and distribution. Additionally, it may be most beneficial for growers to keep the warehouse's storage time and storage capacity at a medium level. The IoT-based integrative decision-making method explored in this study can be applied to other fields including manufacturing to achieve more efficient production and operations management. [ABSTRACT FROM AUTHOR]

Objective: To explore the value of programmed cell death protein 1 (PD-1), programmed cell death ligand 1 (PD-L1) and protein 53 (P53) in estimating the prognosis of patients with non-small cell lung cancer (NSCLC) after postoperative adjuvant chemoradiotherapy., Methods: The clinical data of 100 patients with NSCLC who were treated with adjuvant chemoradiotherapy after pulmonary lobectomy in our hospital were retrospectively analyzed. The expression levels of PD-1, PD-L1 and P53 in tumor tissues were detected by immumohistochemical staining. The efficacy of chemoradiotherapy and survival time between patients with positive and negative expression of PD-1, PD-L1 and P53 were compared respectively to evaluate the correlation of PD-1, PD-L1 and P53 with chemoradiotherapy results in NSCLC. General data of patients were analyzed by single factor analysis. Multivariate logistic regression analysis was used to identify independent risk factors impacting the prognosis of NSCLC patients with postoperative adjuvant chemoradiotherapy., Results: A significantly lower chemoradiotherapy effective rate and a remarkably shorter survival time were found in NSCLC patients with positive expression levels of PD-1, PD-L1 and P53 in tumor tissues as compared with those of negative results (all P<0.05). Single factor analysis revealed that gender, age, history of smoking, histological type, degree of differentiation, T stage, lymph node metastasis, expression levels of PD-1, PD-L1 and P53 showed significant correlations with the prognosis of NSCLC patients with postoperative adjuvant chemoradiotherapy (all P<0.05). High T stage (odds ratio (OR)=7.269), history of smoking (OR=5.128), lymph node metastasis (OR=4.647), PD-1 (+) (OR=7.556), PD-L1 (+) (OR=6.674), P53 (+) (OR=9.070), PD-1 (+) PD-L1 (+) (OR=6.095), PD-1 (+) P53 (+) (OR=6.752), PD-L1 (+) P53 (+) (OR=7.363), and PD-1 (+) PD-L1 (+) P53 (+) (OR=8.524) were determined by multiple logistic regression analysis to be independent risk factors influencing the effect of postoperative adjuvant chemoradiotherapy in NSCLC patients., Conclusion: There are numerous risk factors affecting the effect of postoperative adjuvant chemoradiotherapy in NSCLC patients, of which NSCLC patients with positive expression of PD-1, PD-L1 and P53 had a worse prognosis than those with negative results. PD-1, PD-L1 and P53 can serve as effective prognostic indicators for NSCLC after chemoradiotherapy. In clinical practice, monitoring these three indicators contributes to the adjustment of therapeutic regimen and gives some guidance., Competing Interests: None., (AJTR Copyright © 2022.)

Background: Osteosarcoma (OS) patients with metastasis have very dismal prognoses, and lack effective target therapies. Overexpression of cytosolic phospholipase A2 (cPLA 2 ) has been shown to promote progression in several types of cancers, but its functions in OS have not been investigated., Materials and Methods: In our study, the expression of cPLA 2 a was detected with immunohistochemistry in 102 cases of OS. The clinical significance of cPLA 2 a was evaluated by analyzing its correlation with clinicopathological factors. The prognostic significance of cPLA 2 a was estimated by univariate and multivariate analysis. The oncogenic functions of cPLA 2 a on cell proliferation and invasion were investigated by MTT assay and tranwell assay respectively. Western blotting was applied to detect the markers of epithelial-mesenchymal transition (EMT) after silencing cPLA 2 a expression or inhibiting its activity by a specific antagonist., Results: In our study, high expression of cPLA 2 a was significantly associated with metastasis and advanced Enneking stage. High cPLA 2 a expression was significantly associated with poor prognosis and it was an independent prognostic biomarker of OS. By silencing cPLA 2 a or inhibiting its activity by a specific antagonist, we demonstrated that cPLA 2 a promoted cell invasion of OS cells via inducing the EMT process., Conclusions: High cPLA 2 a expression was an independent prognostic biomarker of OS, and cPLA 2 a could promote OS cell invasion via inducing the EMT process, indicating that cPLA 2 a was an independent prognostic biomarker and may be an effective drug target for OS., (Copyright © 2019 The Authors. Published by Elsevier GmbH.. All rights reserved.)