A Novel collaborative electric location routing problem with battery-swapping stations considering range anxiety

 This is the experimental data of the manuscript entitled “A novel collaborative electric location routing problem with battery-swapping stations considering range anxiety”. Problem sets A, B and P are modified from a classical capacitated vehicle routing problem dataset which was proposed by Augerat according to the characteristics of this study. Problem set C is generated by computation simulation.In each data set, the maximum distance and maximum weight of the electric vehicles, the number and coordinates of the depots, the coordinates and demands of the customers and the coordinates of the alternative battery-swapping stations are given.  </p

A Novel collaborative electric location routing problem with battery-swapping stations considering range anxiety

 This is the experimental data of the manuscript entitled “A novel collaborative electric location routing problem with battery-swapping stations considering range anxiety”. Problem sets A, B and P are modified from a classical capacitated vehicle routing problem dataset which was proposed by Augerat according to the characteristics of this study. Problem set C is generated by computation simulation.In each data set, the maximum distance and maximum weight of the electric vehicles, the number and coordinates of the depots, the coordinates and demands of the customers and the coordinates of the alternative battery-swapping stations are given.  </p

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This is the experimental data of the manuscript entitled “A novel collaborative electric location routing problem with battery-swapping stations considering range anxiety”. Problem sets A, B and P are modified from a classical capacitated vehicle routing problem dataset which was proposed by Augerat according to the characteristics of this study. Problem set C is generated by computation simulation.In each data set, the maximum distance and maximum weight of the electric vehicles, the number and coordinates of the depots, the coordinates and demands of the customers and the coordinates of the alternative battery-swapping stations are given.</p

Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm

This is the experimental data of the manuscript entitled “Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm ”. All data are generated through computer simulation and saved in the file with csv format. The first folder "1.SRRSP benchmark problem instances" includes 21SRRSP benchmark problem instances, the second folder "2.Additional data used to verify the practicability of considering multiple scenarios" contains the addition data required to demonstrate the practicability of considering multiple scenarios, the third folder "3.Additional data used to verify the practicability of variable start-up batch size constraint" contains the the addition data required to demonstrate the practicability of variable start-up batch size constraint. These datasets show the number of scenarios, the number of remanufacturing jobs, the number of operations for each job, the number of remanufacturing machines, the maximum batch size of batch processing machines, and the minimum batch size of batch processing machines. The value of variance factor, the probability of the occurrence of each scenario, the index of the batch processing machine, the index of the batch processing operation, the arrival time of each remanufacturing job, the set of machines available for each operation, and the processing time of each operation on the available machines are also shown in the datasets. And the fourth folder "4.The standard for generating the arrival time and processing time of EOL products in each scenario in each instances" contains the standard used to generate the arrival time and processing time of EOL products in each scenario in each instances

Regioselective Distribution of Zinc Hydroxyl within Straight Channels in MFI Zeolite Nanosheets for Propane Dehydrogenation

Direct dehydrogenation of propane (PDH) is an important industrial process to produce propylene. Transition-metal oxides encapsulated within zeolites (TM@Zeolite) are promising nonprecious and nontoxic alternatives for commercial Pt and CrOx-based PDH catalysts, and it is of great interest to further optimize the catalytic performance of TM@Zeolite. This study describes a facile dual-ligand-directed synthetic strategy that achieves the in situ introduction of Zn sites and morphology modulation of the catalysts. The optimized ZnO@MFI-P catalyst yields a propylene formation rate of 57.9 mmolpropylene·gcat–1·h–1 at 580 °C with a propylene selectivity over 95%, which is superior to bulk ZnO@MFI-B, as well as the state-of-the-art Zn-based PDH catalysts. The combined theoretical and experimental efforts evidence that the MFI-P with preferential exposure of straight channels benefits the regioselective distribution of Zn species within the straight channels. This contributes to the formation of isolated [ZnOH] species and the derived [ZnH] sites, therefore facilitating propane activation toward efficient PDH performance over the ZnO@MFI-P catalyst

DataSheet1_Influence of the Assembly Method on the Cell Current Distribution of Series–Parallel Battery Packs Based on Connector Resistance.docx

In order to meet the energy and power requirements of large-scale battery applications, lithium-ion batteries have to be connected in series and parallel to form various battery packs. However, unavoidable connector resistances cause the inconsistency of the cell current and state of charge (SoC) within packs. Meanwhile, different assembly methods and module collector positions (MCPs) may result in different connector resistance arrangements, thereby leading to different cell current distributions. Therefore, the correlation of connector resistance to battery pack performance is worth investigating. Based on the simplified equivalent circuit model (ECM), the mathematical models of cell current distribution within packs under different assembly methods are obtained in this paper. Then, we use COMSOL Multiphysics simulation to analyze the guidelines of series assembly for parallel modules and then study the influences of connector resistance and MCP on series–parallel battery packs. The results show that the assembly method with an equal distance between each cell and the assembly contact surface for series assembly can effectively reduce the inhomogeneous current. However, the cell current and SoC distribution within the series–parallel battery pack is completely independent of the Z-configuration and ladder configuration. In addition, for series–parallel battery packs, the non-edge parallel module part of the series–parallel battery pack can be replaced with a series cell module (SCM) structure. Finally, the influences of the value of the connector resistance and current rate on the cell current distribution are discussed.</p

Single Mo Atoms Stabilized on High-Entropy Perovskite Oxide: A Frontier for Aerobic Oxidative Desulfurization

The design and preparation of catalysts with both excellent stability and maximum exposure of catalytic active sites is highly desirable; however, it remains challenging in heterogeneous catalysis. Herein, a entropy-stabilized single-site Mo catalyst via a high-entropy perovskite oxide LaMn0.2Fe0.2Co0.2Ni0.2Cu0.2O3 (HEPO) with abundant mesoporous structures was initiated by a sacrificial-template strategy. The presence of electrostatic interaction between graphene oxide and metal precursors effectively inhibits the agglomeration of precursor nanoparticles in a high-temperature calcination process, thereby endowing the atomically dispersed Mo6+ coordinated with four O atoms on the defective sites of HEPO. The unique structure of single-site Mo atoms’ random distribution with an atomic scale greatly enriches the oxygen vacancy and increases surface exposure of the catalytic active sites on the Mo/HEPO-SAC catalyst. As a result, the obtained Mo/HEPO-SAC exhibits robust recycling stability and ultra-high oxidation activity (turnover frequency = 3.28 × 10–2) for the catalytic removal of dibenzothiophene (DBT) with air as the oxidant, which represents the top level and is strikingly higher than the state-of-the-art oxidation desulfurization catalysts reported previously under the same or similar reaction conditions. Therefore, the finding here for the first time expands the application of single-atom Mo-supported HEPO materials into the field of ultra-deep oxidative desulfurization

DataSheet1_To explore the effect of kaempferol on non-small cell lung cancer based on network pharmacology and molecular docking.pdf

Non-small cell lung cancer (NSCLC) is a common pathological type of lung cancer, which has a serious impact on human life, health, psychology and life. At present, chemotherapy, targeted therapy and other methods commonly used in clinic are prone to drug resistance and toxic side effects. Natural extracts of traditional Chinese medicine (TCM) have attracted wide attention in cancer treatment because of their small toxic and side effects. Kaempferol is a flavonoid from natural plants, which has been proved to have anticancer properties in many cancers such as lung cancer, but the exact molecular mechanism is still unclear. Therefore, on the basis of in vitro experiments, we used network pharmacology and molecular docking methods to study the potential mechanism of kaempferol in the treatment of non-small cell lung cancer. The target of kaempferol was obtained from the public database (PharmMapper, Swiss target prediction), and the target of non-small cell lung cancer was obtained from the disease database (Genecards and TTD). At the same time, we collected gene chips GSE32863 and GSE75037 in conjunction with GEO database to obtain differential genes. By drawing Venn diagram, we get the intersection target of kaempferol and NSCLC. Through enrichment analysis, PI3K/AKT is identified as the possible key signal pathway. PIK3R1, AKT1, EGFR and IGF1R were selected as key targets by topological analysis and molecular docking, and the four key genes were further verified by analyzing the gene and protein expression of key targets. These findings provide a direction for further research of kaempferol in the treatment of NSCLC.</p

Supplementary Data from <i>Porphyromonas gingivalis</i> Promotes Colorectal Carcinoma by Activating the Hematopoietic <i>NLRP3</i> Inflammasome

Supplementary Data from Porphyromonas gingivalis Promotes Colorectal Carcinoma by Activating the Hematopoietic NLRP3 Inflammasom

Supplementary Data from Pik3ip1 Is a Negative Immune Regulator that Inhibits Antitumor T-Cell Immunity

Supplementary Data from Pik3ip1 Is a Negative Immune Regulator that Inhibits Antitumor T-Cell Immunit