6-Oxo-5-[(trifluoro­meth­yl)sulfon­yl]-1,2,4a,5,6,11b-hexa­hydro-1,3-dioxolo[4,5-j]phenanthridin-2-yl benzoate

In the title compound, C22H16F3NO7S, the two benzene rings are almost perpendicular, the dihedral angle between their mean planes being 87.1 (1)°. The terminal O atom of the benzoate moiety is disordered over two positions with site occupancies of 0.244 (15) and 0.756 (15). The crystal structure is stablized by two types of weak inter­molecular C—H⋯O hydrogen bonds

Multiple target tracking under occlusions using modified Joint Probabilistic Data Association

International audienceThe size of target will induce a degradation of tracking performance, which has been neglected for simplicity in most previous studies. In multiple target tracking, occlusions will be caused by target size effect, one target can become a moving obstacle blocking the direct channel between the anchor and another target. In this paper, the data association problem in multiple target tracking is investigated. To reduce the computational complexity of traditional Joint Probabilistic Data Association (JPDA) algorithm, a modified JPDA algorithm is proposed to execute data association in multiple target tracking by utilizing the information of occlusion conditions, which is identified by a three-step algorithm. Simulation results show that the proposed algorithm is with good tracking performance and low computational complexity

Robust Localization Using Range Measurements With Unknown and Bounded Errors

Cooperative geolocation has attracted significant research interests in recent years. A large number of localization algorithms rely on the availability of statistical knowledge of measurement errors, which is often difficult to obtain in practice. Compared with the statistical knowledge of measurement errors, it can often be easier to obtain the measurement error bound. This paper investigates a localization problem assuming unknown measurement error distribution except for a bound on the error. We first formulate this localization problem as an optimization problem to minimize the worst case estimation error, which is shown to be a nonconvex optimization problem. Then, relaxation is applied to transform it into a convex one. Furthermore, we propose a distributed algorithm to solve the problem, which will converge in a few iterations. Simulation results show that the proposed algorithms are more robust to large measurement errors than existing algorithms in the literature. Geometrical analysis providing additional insights is also provided.This work was supported in part by 973 Program under Grant 2015CB352503, in part by National Program for Special Support of Top-Notch Young Professionals, in part by NSFC under Grant 61371159, in part by the Fundamental Research Funds for the Central Universities (2017XZZX009-01), in part by scholarship funded by China Scholarship Council, in part by National ICT Australia Ltd., and in part by the Australian Research Council under Grant DP-110100538, Grant DP-130103610 and Grant DP16010450

Hexaaqua­manganese(II) dipicrate dihydrate

In the title compound, [Mn(H2O)6](C6H2N3O7)2·2H2O, the manganese cation, on an inversion centre, is coordinated by six water mol­ecules, but the picrate anion has no coordinative inter­action with the manganese cation. The anions in the stack are linked via short inter­molecular O⋯C (3.013 and 2.973 Å) and C⋯C (3.089 and 3.065 Å) contacts and hydrogen bonds

Prognostic Value of Systemic Inflammation Score for Esophageal Cancer Patients Undergoing Surgery: A Systematic Review and Meta-Analysis

Objective The link between inflammation and cancer survival has been the subject of substantial research. The goal of this review is to summarize the evidence on the prognostic value of systemic inflammation score (SIS) in esophageal cancer patients undergoing surgical intervention. Methods PubMed, Scopus, Embase, and Web of Science were searched for relevant articles published until 30th June 2022. We pooled adjusted data on overall survival (OS) and disease-free survival (DFS) using a random-effects meta-analysis model. The review was pre-registered on PROSPER (No. CRD42022340717). Results Eight studies were included. All studies were conducted either in China or Japan. Six studies showed that patients with SIS of 1-2 had poor OS as compared to those with scores of 0 (HR:1.42 95% CI: 1.24, 1.62 I2=25%). SIS of 1 (HR:1.45 95% CI: 1.18, 1.78 I2=0%) and 2 (HR:1.94 95% CI: 1.49, 2.53 I2=0%) were also associated with poor OS. Two studies compared the SIS score of 2 vs 0-1. Meta-analysis indicated that poor OS was associated with SIS of 2 (HR:1.80 95% CI: 1.25, 2.58). Data from three studies showed that the SIS score did not predict DFS (HR:1.40 95% CI: 0.82, 2.39 I2=91%). Conclusion SIS can be a novel prognostic indicator for esophageal cancer patients undergoing surgical intervention. Higher SIS is associated with a poor OS, but it does not predict DFS. Future studies are needed to strengthen the current evidence