catena-Poly[[(1,10-phenanthroline-κ2 N,N′)copper(I)]-μ2-iodido]

The solvothermal reaction of copper(I) iodide and 1,10-phenanthroline (phen) in ethanol yielded the title polymeric compound, [CuI(C12H8N2)]n. The asymmmetric unit comprises one Cu+ cation, one I− anion and one phen ligand. Each Cu+ cation is in a distorted tetrahedral coordination by two iodide anions and two N atoms from a bidentate chelating phen ligand. The Cu+ cations are bridged through the iodide anions, leading to a zigzag chain structure extending parallel to [100]. There are π–π inter­actions among adjacent phen ligands of one chain [centroid–centroid distance = 3.693 (3) Å]

Road Network Vulnerability Analysis Based on Improved Ant Colony Algorithm

We present an improved ant colony algorithm-based approach to assess the vulnerability of a road network and identify the critical infrastructures. This approach improves computational efficiency and allows for its applications in large-scale road networks. This research involves defining the vulnerability conception, modeling the traffic utility index and the vulnerability of the road network, and identifying the critical infrastructures of the road network. We apply the approach to a simple test road network and a real road network to verify the methodology. The results show that vulnerability is directly related to traffic demand and increases significantly when the demand approaches capacity. The proposed approach reduces the computational burden and may be applied in large-scale road network analysis. It can be used as a decision-supporting tool for identifying critical infrastructures in transportation planning and management

Revealing the real-world CO2 emission reduction of ridesplitting and its determinants based on machine learning

Ridesplitting, which is a form of pooled ridesourcing service, has great potential to alleviate the negative impacts of ridesourcing on the environment. However, most existing studies only explored its theoretical environmental benefits based on optimization models and simulations. To put into practice, this study aims to reveal the real-world emission reduction of ridesplitting and its determinants based on the observed data of ridesourcing in Chengdu, China. Integrating the trip data with the COPERT model, this study calculates the CO2 emissions of shared rides (ridesplitting) and their substituted single rides (regular ridesourcing) to estimate the CO2 emission reduction of each ridesplitting trip. The results show that not all ridesplitting trips reduce emissions from ridesourcing in the real world. The CO2 emission reduction rate of ridesplitting varies from trip to trip, averaging at 43.15g/km. Then, the interpretable machine learning models, gradient boosting machines, are applied to explore the relationship between the CO2 emission reduction rate of ridesplitting and its determinants. Based on the SHapley Additive exPlanations method, the overlap rate and detour rate of shared rides are identified to be the most important factors that determine the CO2 emission reduction rate of ridesplitting. Increasing the overlap rate, the number of shared rides, average speed, and ride distance ratio and decreasing the detour rate, actual trip distance, ride distance gap can increase the CO2 emission reduction rate of ridesplitting. In addition, nonlinear effects and interactions of several key factors are examined through the partial dependence plots. This study provides a scientific method for the government and ridesourcing companies to better assess and optimize the environmental benefits of ridesplitting.Comment: 33 pages, 12 figure

A double salt of iodo­bis­muthate: cis-aqua­iodidobis(1,10-phenanthroline)cobalt(II) tris­(1,10-phenanthroline)cobalt(II) trans-hexa-μ2-iodido-hexa­iodidotribismuthate(III)

In the title complex, [Co(C12H8N2)3][CoI(C12H8N2)2(H2O)][Bi3I12], conventionally abbreviated [Co(phen)3][CoI(phen)2(H2O)][Bi3I12], where phen is 1,10-phenanthroline, the CoII atom in one cation is coordinated by six N atoms from three phen ligands in an octa­hedral coordination while the CoII atom in the other cation is coordinated octa­hedrally by four N atoms from two phen ligands, one water O atom and one I atom. In the anion, three BiIII ions adopt an octa­hedral coordination constructed by six I− ligands. The three BiI6 octa­hedra are fused together through trans face-sharing

The Activation of Macrophage and Upregulation of CD40 Costimulatory Molecule in Lipopolysaccharide-Induced Acute Lung Injury

To study the activation of macrophage and upregulation of costimulatory molecule of CD40 in lipopolysaccharide- (LPS-) induced acute lung injury (ALI) model, and to investigate the pathogenecy of ALI, mice were randomly divided into two groups. ALI model was created by injecting 0.2 mg/kg LPS in phosphate saline (PBS) in trachea. The pathologic changes of mice lungs were observed by HE staining at 24 and 48 hours after LPS treatment, then the alveolar septum damage, abnormal contraction, alveolar space hyperemia, and neutrophils or other inflammatory cells infiltration in the LPS group, but not in the control group, were observed. The expression of CD40 mRNA and CD40 protein molecules were higher in LPS group as compared to the control group by Northern blot and flow cytometry, respectively. Expression of Toll-like receptor-4 (TLR4) in activated macrophage (AMΦ) was higher in LPS group as compared to the control group by RT-PCR. The activation of NF-κB binding to NF-κB consensus oligos increased in LPS group by EMSA in macrophage. The concentrations of TNF-α, MIP-2, and IL-1β cytokines from bronchoalveolar lavage fluid (BALF) were increased significantly in LPS group as compared to the control group by ELISA. The activation of AM and upregulation of costimulatory molecule CD40 induced all kinds of inflammatory cytokines releasing, then led to ALI. Therefore, both of them played vital role in the process of development of ALI

N,N′-p-Phenyl­enediisonicotinamide monohydrate

The organic mol­ecule of the title compound, C18H14N4O2·H2O, lies on a center of inversion located at the centre of the central phenyl­ene ring. There are two half-molecules in the asymmetric unit. In the crystal, the mol­ecules are linked through by N—H⋯O and O—H⋯N hydrogen bonds involving the water mol­ecule, forming a layer structure. The layers inter­act by π–π inter­actions between the aromatic rings

Comparative studies on the regulatory effects of raw and charred hawthorn on functional dyspepsia and intestinal flora

Purpose: To compare the effects of raw hawthorn (RH) and charred hawthorn (CH) on functional dyspepsia (FD) and intestinal flora (IF).Methods: A rat model of FD was established through use of a chronic stimulator. Rat models were evaluated by the rat’s physical state, body weight, diet, and histopathological examination. After RH or CH administration, the digestive function of the rats was evaluated by determining gastric emptying and intestinal propulsion rate, diversity of intestinal flora.Results: RH and CH both improved gastric emptying and intestinal propulsion rate in FD group when compared to control group (p < 0.05). CH yielded higher treatment effectiveness than RH. Sixteen phyla of microbiomes were recognized from all samples. After FD model establishment, the relative abundance of Lactobacillus, Lachnospiraceae and Bacteroidales decreased compared to normal control rats. On the other hand, the relative abundance of Helicobacter and Bacteroides in the model control group increased compared to normal control. After RH and CH treatment, the relative abundance of all dysregulated phyla was restored to varying degrees, but the levels after CH treatment were similar to those of the normal control group.Conclusion: The relative abundance of intestinal flora of FD model rats is significantly different from that of rats in normal control group. Thus, RH and CH intervention improves digestive function, and the mechanisms may be related to adjustment of gut dysbacteriosis.Keywords: Raw Hawthorn, Charred Hawthorn, Functional dyspepsia, Intestinal flor