Extracting Flooded Roads by Fusing GPS Trajectories and Road Network

Urban roads are the lifeline of urban transportation and satisfy the commuting and travel needs of citizens. Following the acceleration of urbanization and the frequent extreme weather in recent years, urban waterlogging is occurring more than usual in summer and has negative effects on the urban traffic networks. Extracting flooded roads is a critical procedure for improving the resistance ability of roads after urban waterlogging occurs. This paper proposes a flooded road extraction method to extract the flooding degree and the time at which roads become flooded in large urban areas by using global positioning system (GPS) trajectory points with driving status information and the high position accuracy of vector road data with semantic information. This method uses partition statistics to create density grids (grid layer) and uses map matching to construct a time-series of GPS trajectory point density for each road (vector layer). Finally, the fusion of grids and vector layers obtains a more accurate result. The experiment uses a dataset of GPS trajectory points and vector road data in the Wuchang district, which proves that the extraction result has a high similarity with respect to the flooded roads reported in the news. Additionally, extracted flooded roads that were not reported in the news were also found. Compared with the traditional methods for extracting flooded roads and areas, such as rainfall simulation and SAR image-based classification in urban areas, the proposed method discovers hidden flooding information from geospatial big data, uploaded at no cost by urban taxis and remaining stable for a long period of time

Results of Multicentre Phase IV Study of Rituximab in Combination with CHOP Chemotherapy in Patients with Previously Untreated Non-Hodgkin’s Lymphoma.

Abstract Purpose: Rituximab is a chimeric anti-CD20 monoclonal antibody that was the first antibody approved by the FDA in the United States of America and SDA in China for the treatment of B-cell non-Hodgkin’s Lymphoma (NHL). It has shown significant efficacy and good tolerability in refractory and relapsed NHL. We have conducted a multicenter phase IV trial to evaluate the efficacy and safety of rituximab combined with standard CHOP chemotherapy in patients with newly diagnosed B-NHL. Methods: Patients with newly diagnosed, histologically proven CD20-positive NHL were eligible for the study. All patients received 4–6 infusions of rituximab (375mg/m2 per dose) in combination with CHOP chemotherapy, either concurrently (rituximab administered on the first day of each 21-day CHOP cycle) or sequentially (4–6 once-weekly infusions of rituximab followed by six 21-day cycles of CHOP). Each CHOP cycle consisted of cyclophosphamide 750 mg/m2, doxorubicin 50mg/m2, and vincristine 1.4mg/m2 (maximum 2.0mg/dose) given intravenously on day 1, and prednisone 100mg/day orally on days 1-5. Tumor responses were assessed at the end of treatment. Results: A total of 347 patients were recruited between February 2002 and December 2003. Of these 235 (68%) were male and 94 (27%) aged &gt;60. The main lymphoma subtypes were diffuse large B-cell 196 (56%), follicular 41(12%), small lymphocytic/chronic lymphocytic leukemia 13(4%) and MALT 11(3%). Ann Arbor staging was as follows: stage I, 52 (15%); stage II, 80 (23%); stage III, 90(26%); stage IV, 105(30%); twenty patients (6%) could not be assessed. Of the 347 patients enrolled, 314 were evaluable for response. An objective response was observed in 94% of evaluable patients with a complete response (CR) in 56%, stable disease in 3.8% and progressive disease in 2.5%. The complete response rate was 63% for patients receiving 6 cycles of rituximab and 54% for those receiving four cycles of rituximab. No difference in response rate was observed between the sequential and concurrent groups. The most common adverse events were leucopenia in 122 patients (35%), nausea and vomiting 66 (19%), fever 39 (11%), rash 15 (4%) and asthma 4 (1%). Conclusion: The combination of rituximab and CHOP chemotherapy is an effective and well-tolerated treatment for patients with newly-diagnosed CD20-positive NHL. The safety and efficacy achieved in this study suggests that more than four doses of rituximab may be required for optimal efficacy.</jats:p

Judicious Selection of Precursors with Suitable Chemical Valence State for Controlled Growth of Transition Metal Chalcogenides

Abstract Transition metal chalcogenides (TMCs) have attracted wide attentions as a class of promising material for both fundamental investigations and electronic applications due to their atomic thin thickness, dangling bond‐free surface, and excellent electronic properties. Specifically, TMCs show outstanding properties such as good thermal conductivity, robust mechanical properties, and extraordinary electronical characteristics, bestowing them utility in both fundamental research and applications. Recently, the development of post‐Moore electronics based on TMCs calls for their large‐size and single‐crystal growth. However, researchers about synthesis usually focus on controlling several growth parameters (such as growth temperature, flow rate, and time). Herein, it is reported that the chemical valence states of transition metal precursors play an important role in controlling the lateral size and crystal quality for TMCs. The study discusses the valence states‐dependent growth mechanism for WS2 and MoS2 from four factors: evaporation temperature, skipping of reaction steps, atomic binding energy of the precursors, and formation energy. In addition, the as‐grown WS2 and MoS2 nanoflakes exhibit good photoelectric response properties. For EuS, the growth results are obviously different by using EuBr3 and EuBr2 as precursors. The studies provide a unique perspective and also new knowledge to controllably grow large‐size and good crystal quality TMCs

Eukaryotic Community Structure and Interspecific Interactions in a Stratified Acidic Pit Lake Water in Anhui Province

The stratified acidic pit lake formed by the confluence of acid mine drainage has a unique ecological niche and is a model system for extreme microbial studies. Eukaryotes are a component of the AMD community, with the main members including microalgae, fungi, and a small number of protozoa. In this study, we analyzed the structural traits and interactions of eukaryotes (primarily fungi and microalgae) in acidic pit lakes subjected to environmental gradients. Based on the findings, microalgae and fungi were found to dominate different water layers. Specifically, Chlorophyta showed dominance in the well-lit aerobic surface layer, whereas Basidiomycota was more abundant in the dark anoxic lower layer. Co-occurrence network analysis showed that reciprocal relationships between fungi and microalgae were prevalent in extremely acidic environments. Highly connected taxa within this network were Chlamydomonadaceae, Sporidiobolaceae, Filobasidiaceae, and unclassified Eukaryotes. Redundancy analysis (RDA) and random forest models revealed that Chlorophyta and Basidiomycota responded strongly to environmental gradients. Further analysis indicated that eukaryotic community structure was mainly determined by nutrient and metal concentrations. This study investigates the potential symbiosis between fungi and microalgae in the acidic pit lake, providing valuable insights for future eukaryotic biodiversity studies on AMD remediation