Eribulin vs. Eribulin + Bevacizumab in advanced-line treatment of Her-2 negative metastatic breast cancer

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CuxCeMgAlO mixed oxide catalysts derived from multicationic LDH precursors for methane total oxidation

International audienc

Manufacturing and Supply Chain Flexibility: Building an Integrative Conceptual Model Through Systematic Literature Review and Bibliometric Analysis

The purpose of this study is twofold: first, to establish the current themes on the topic of manufacturing and supply chain flexibility (MSCF), assess their level of maturity in relation to each other, identify the emerging ones and reflect on how they can inform each other, and second, to develop a conceptual model of MSCF that links different themes connect and highlight future research opportunities. The study builds on a sample of 222 articles published from 1996 to 2018 in international, peer-reviewed journals. The analysis of the sample involves two complementary approaches: the co-word technique to identify the thematic clusters as well as their relative standing and a critical reflection on the papers to explain the intellectual content of these thematic clusters. The results of the co-word analysis show that MSCF is a dynamic topic with a rich and complex structure that comprises five thematic clusters. The value chain, capability and volatility clusters showed research topics that were taking a central role in the discussion on MSCF but were not mature yet. The SC purchasing practices and SC planning clusters involved work that was more focused and could be considered more mature. These clusters were then integrated in a framework that built on the competence–capability perspective and identified the major structural and infrastructural elements of MSCF as well as its antecedents and consequences. This paper proposes an integrative framework helping managers keep track the various decisions they need to make to increase flexibility from the viewpoint of the entire value chain

A Novel Logic to Stator Single Phase - to - Ground Fault for Power-former

The stator single-phase to ground fault is one of the most common fault that a Generator will suffer. If such fault is neglected then there are chances of converting it into phase to phase fault. So there is need to detect and isolate the faulty part from the rest of the system as early as possible. Because of this, protection is very important otherwise there is shortage of power in our system. The proposed approach detects the ground fault by analyzing the direction, magnitude, and energy of leakage current, which is the difference of zero-sequence current fault component between the neutral and the terminal of Power-former. The aim of the study carried out was realizing 100% coverage of fault detection in internal &external fault protection for the stator winding of Power former

DOP12 Validation of radiomics features on MR enterography characterizing inflammation and fibrosis in stricturing Crohn’s disease

Abstract Background MR enterography (MRE) accurately detects Crohn’s disease (CD) strictures, yet its ability to differentiate inflammatory from fibrostenotic components within a CD stricture is limited. Artificial intelligence in cross sectional imaging, termed radiomics, is a quantitative image extraction analysis technology creating an opportunity to enhance characterization of strictures on routine MRE exams. We present a study on machine-reader evaluation of MRE to distinguish inflammation and fibrosis in CD strictures via quantitative radiomic features and compare radiomics performance to central radiologist scoring of MRE. Methods In this retrospective single center study 51 patients (n=34 for discovery; n=17 for validation) had confirmed stricturing CD (using CONSTRICT criteria) on MRE. Surgical histopathology scoring of specimens within 15 weeks of MRE exam (range 0-100, scores ≥70 =severe) was used as the reference standard for both inflammation and fibrosis. An expert abdominal radiologist blinded to clinical and histopathologic results provided a global visual analog scale (VAS, 0-100) assessment of stricture inflammation and fibrosis. 2164 3D radiomic features were extracted from the stricture regions on MRE, from which the most relevant feature subsets were identified via cross-validated machine learning analysis in the discovery cohort for differentiating between severe vs mild inflammation and fibrosis. Radiomic features and VAS scores were evaluated against pathology-defined inflammation and fibrosis in the validation cohort. Results Clinical variables including sex, age, Montreal classification and stricture type across discovery and validation groups can be found in Table 1. The median time from MRE to surgical resection was 7.1 90-15) weeks. 43% of strictures in the overall cohort were classified as severe for inflammation and 43% had severe fibrosis. Two distinct sets of radiomic features capturing textural heterogeneity (patterns, local entropy) within strictures were significantly associated with severe inflammation or severe fibrosis (p&amp;lt;0.01). For inflammation, AUC for discovery and validation were 0.69 and 0.67, respectively (Figure 1). For fibrosis, AUC for discovery and validation were 0.83 and 0.77, respectively (Figure 2). The radiologist VAS had an AUC of 0.71 for identifying inflammation and AUC 0.46 for identifying fibrosis. Combining radiomic features and radiologist VAS had no significant impact on predictor performance. Conclusion Radiomic analysis may support the identification of fibrosis, but not inflammation in stricturing CD compared to radiological visual assessment. This tool may offer a novel way to stratify patients for future anti-fibrotic therapies. </jats:sec

How the Potassium Channel Response of T Lymphocytes to the Tumor Microenvironment Shapes Antitumor Immunity

Competent antitumor immune cells are fundamental for tumor surveillance and combating active cancers. Once established, tumors generate a tumor microenvironment (TME) consisting of complex cellular and metabolic elements that serve to suppress the function of antitumor immune cells. T lymphocytes are key cellular elements of the TME. In this review, we explore the role of ion channels, particularly K+ channels, in mediating the suppressive effects of the TME on T cells. First, we will review the complex network of ion channels that mediate Ca2+ influx and control effector functions in T cells. Then, we will discuss how multiple features of the TME influence the antitumor capabilities of T cells via ion channels. We will focus on hypoxia, adenosine, and ionic imbalances in the TME, as well as overexpression of programmed cell death ligand 1 by cancer cells that either suppress K+ channels in T cells and/or benefit from regulating these channels’ activity, ultimately shaping the immune response. Finally, we will review some of the cancer treatment implications related to ion channels. A better understanding of the effects of the TME on ion channels in T lymphocytes could promote the development of more effective immunotherapies, especially for resistant solid malignancies