Collaborative Vehicle Routing Problem with Rough Location using Extended Ant Colony Optimization Algorithm

<p>This is the experimental data of the manuscript entitled "Collaborative Vehicle Routing Problem with Rough Location using Extended Ant Colony Optimization Algorithm". All data are generated through computer simulation and saved in the file with txt format. The data are consistent with the real-world case. For example, DATA_N_60_D_4_V_12 represents the case that contains 4 depots, 60 customers and 12 vehicles. The “DATA_N_77_D_3_V_9.txt” and “DATA_N_97_D_3_V_9.txt” are used in Section 5.2 as illustrative examples corresponding to figure 4 and figure 5, respectively. Other data are used in Section 5.3.</p

Block-matrix-based approach for the hybrid vehicle routing problem with fuzzy travel time and transportation type selection

This is the experimental data of the manuscript entitled "Block-matrix-based approach for the hybrid vehicle routing problem with fuzzy travel time and transportation type selection". All data are generated through computer simulation and saved in the file with xlsx format. The data are consistent with the real-world case. For example, "dataset A" represents the small case that contains 10 suppliers, 2 cross-dock centers and 11 plants."dataset B" represents the large case that contains 30 suppliers, 5 cross-dock centers and 4 plants

Research Front Detection and Topic Evolution Based on Topological Structure and PageRank Algorithm

this is the data used in my article "research front detection and topic evolution based on topological structure and PageRank algorithm". The data include the scientific documents in Dataset I (D1.txt), the scientific documents in Dataset II (D2.txt), the scientific documents in Dataset I without isolated document (D3.txt), and the scientific documents in Dataset II without isolated document (D4.txt), the unique number of scientific documents (D5.txt), the similarity between scientific documents for document clustering (D6.txt), and the similarity between clusters for topic evolution (D7.txt)

DataSheet1_Exploring the evolution of CHS gene family in plants.ZIP

Chalcone synthase (CHS) is a key enzyme that catalyzes the first committed step of flavonoid biosynthetic pathway. It plays a vital role not only in maintaining plant growth and development, but also in regulating plant response to environmental hazards. However, the systematic phylogenomic analysis of CHS gene family in a wide range of plant species has not been reported yet. To fill this knowledge gap, a large-scale investigation of CHS genes was performed in 178 plant species covering green algae to dicotyledons. A total of 2,011 CHS and 293 CHS-like genes were identified and phylogenetically divided into four groups, respectively. Gene distribution patterns across the plant kingdom revealed the origin of CHS can be traced back to before the rise of algae. The gene length varied largely in different species, while the exon structure was relatively conserved. Selection pressure analysis also indicated the conserved features of CHS genes on evolutionary time scales. Moreover, our synteny analysis pinpointed that, besides genome-wide duplication and tandem duplication, lineage specific transposition events also occurred in the evolutionary trajectory of CHS gene family. This work provides novel insights into the evolution of CHS gene family and may facilitate further research to better understand the regulatory mechanism of traits relating to flavonoid biosynthesis in diverse plants.</p

Additional file 1 of Is human herpesvirus 8 infection more common in men than in women? an updated meta-analysis

Supplementary Material 1

High Pressure Synthesis and Superconductivity of the Ternary Compounds Mg(Mg_1–<i>x</i>Al_<i>x</i>)Si with the Anticotunnite Structure

Ternary compounds Mg­(Mg_1–<i>x</i>Al_<i>x</i>)Si (0.3 < <i>x</i> < 0.8) have been prepared under high pressure and high temperature conditions of 5 GPa at 800–1100 °C. The single crystal study revealed that the compound (<i>x</i> = 0.45) is isomorphous with the anticotunnite, or the TiNiSi structure, and crystallizes with space group <i>Pnma</i>, with lattice parameters <i>a</i> = 6.9242(2), <i>b</i> = 4.1380(1), <i>c</i> = 7.9618(2) Å, and <i>Z</i> = 4. The compound with <i>x</i> > 0.5 shows superconductivity with a transition temperature (<i>T</i>_c) ∼ 6 K. The compound is a peritectic solid solution associated with other phases such as Mg₉Si₅, Al, and Si, depending on cooling protocols in the preparation. The band structure calculation on the composition MgAlSi suggests that the Al and Mg orbitals mainly contribute to the density of states near the Fermi level, and the substitution of Mg with Al favors the superconductivity

Measuring Scientific Prestige of Papers with Time-Aware Mutual Reinforcement Ranking Model

This is the raw data of the manuscript "Measuring Scientific Prestige of Papers with Time-Aware Mutual Reinforcement Ranking Model" .The data contain four zip files and a .xlsx file. The first one is the raw data used in our manuscript, and the other four are the experimental results of our study

High-Pressure Synthesis and Superconductivity of the Laves Phase Compound Ca(Al,Si)₂ Composed of Truncated Tetrahedral Cages Ca@(Al,Si)₁₂

The Zintl compound CaAl₂Si₂ peritectically decomposes to a new ternary cubic Laves phase Ca­(Al,Si)₂ and an Al–Si eutectic at temperatures above 750 °C under a pressure of 13 GPa. The ternary Laves phase compound can also be prepared as solid solutions Ca­(Al_1–<i>x</i>Si_<i>x</i>)₂ (0.35 ≤ <i>x</i> ≤ 0.75) directly from the ternary mixtures under high-pressure and high-temperature conditions. The cubic Laves phase structure can be regarded as a type of clathrate compound composed of face-sharing truncated tetrahedral cages with Ca atoms at the center, Ca@(Al,Si)₁₂. The compound with a stoichiometric composition CaAlSi exhibits superconductivity with a transition temperature of 2.6 K. This is the first superconducting Laves phase compound composed solely of commonly found elements

Combined Approach for Government E-Tendering Using GA and TOPSIS with Intuitionistic Fuzzy Information

<div><p>As E-government continues to develop with ever-increasing speed, the requirement to enhance traditional government systems and affairs with electronic methods that are more effective and efficient is becoming critical. As a new product of information technology, E-tendering is becoming an inevitable reality owing to its efficiency, fairness, transparency, and accountability. Thus, developing and promoting government E-tendering (GeT) is imperative. This paper presents a hybrid approach combining genetic algorithm (GA) and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) to enable GeT to search for the optimal tenderer efficiently and fairly under circumstances where the attributes of the tenderers are expressed as fuzzy number intuitionistic fuzzy sets (FNIFSs). GA is applied to obtain the optimal weights of evaluation criteria of tenderers automatically. TOPSIS is employed to search for the optimal tenderer. A prototype system is built and validated with an illustrative example from GeT to verify the feasibility and availability of the proposed approach.</p></div

Graphical interface for optimizing weights.

<p>Graphical interface for optimizing weights.</p