天津市地下水生态系统服务价值演变

基于千年生态系统评估对生态系统服务的分类方法，将天津市地下水生态系统服务功能划分为供给、调节、 支持和文化 4 个方面，以此为基础建立地下水生态系统服务价值评估指标体系，采用价值量评估方法构建货币化 的价值评估模型，对地下水生态系统服务价值进行测算，并重点分析南水北调中线工程通水前后天津市地下水生 态系统服务价值演变特征。结果表明：2008—2019 年，天津市地下水生态系统年均总服务价值为 83.71 亿元，其 中，南水北调中线工程通水前（2008—2014 年）为 69.81 亿元，通水后（2015—2019 年）为 103.18 亿元；通水后，地 下水调节服务价值、支持服务价值增大，供给服务价值减小；南水北调中线工程对地下水生态系统服务价值的贡 献呈增大趋势，由 2015 年 2.64 亿元增加至 2019 年 24.01 亿元。     

Dynamic voltage scaling based energy-minimized partial task offloading in fog networks

Wireless Networks - With the dynamic voltage scaling (DVS) technology, the terminal node (TN) can dynamically adjust its computational speed, thus providing a new way to save energy during task...     

Graph-Theoretic Method on Topology Identification of Stochastic Multi-weighted Complex Networks with Time-Varying Delayed Coupling Based on Adaptive Synchronization

Neural Processing Letters - This paper is concerned with topology identification of stochastic multi-weighted complex networks based on adaptive synchronization. Different from previous work,...     

Rapid anti-solvent vapor-assisted synthesis of CsPbBr3/Cs4PbBr6 microcrystals with high brightness and stability of green light emission

Journal of Materials Science - The CsPbBr3/Cs4PbBr6 perovskite composite material has received wide attention due to its good stability and photoelectric properties, and it is promising to appear...     

A Tradeoff Between Accuracy and Speed for K-Means Seed Determination

With a sharp increase in the information volume, analyzing and retrieving this vast data volume is much more essential than ever. One of the main techniques that would be beneficial in this regard is called the Clustering method. Clustering aims to classify objects so that all objects within a cluster have similar features while other objects in different clusters are as distinct as possible. One of the most widely used clustering algorithms with the well and approved performance in different applications is the k-means algorithm. The main problem of the k-means algorithm is its performance which can be directly affected by the selection in the primary clusters. Lack of attention to this crucial issue has consequences such as creating empty clusters and decreasing the convergence time. Besides, the selection of appropriate initial seeds can reduce the cluster’s inconsistency. In this paper, we present a new method to determine the initial seeds of the k-mean algorithm to improve the accuracy and decrease the number of iterations of the algorithm. For this purpose, a new method is proposed considering the average distance between objects to determine the initial seeds. Our method attempts to provide a proper tradeoff between the accuracy and speed of the clustering algorithm. The experimental results showed that our proposed approach outperforms the Chithra with 1.7% and 2.1% in terms of clustering accuracy for Wine and Abalone detection data, respectively. Furthermore, achieved results indicate that comparing with the Reverse Nearest Neighbor (RNN) search approach, the proposed method has a higher convergence speed.     

虚拟仿真技术在无机化学实验中的应用探索 ——以水银的处理实验为例

随着计算机技术的快速发展,虚拟仿真技术越发成熟,在教学中的应用越来越广泛.与传统线下实验教学模式相比,虚拟仿真技术具有安全无害,覆盖面广等优点,可以弥补传统实验教学模式中一些不足.本文主要以水银的处理实验为例,展示了虚拟仿真技术在危险性实验教学中的优势,为实验教学知识体系的完整性提供一个有力支持.     

Nb2O5-doped NiZnCo ferrite ceramics with ultra-high magnetic quality factor and low coercivity for high-frequency electronic devices

This work investigates the influence of niobium pentoxide (Nb₂O₅) as dopant, on the structural, magnetic, and dielectric properties of NiZnCo ferrites. The results showed that Nb₂O₅ was an effective dopant, and the Nb⁵⁺ ions entered the B site to replace Fe³⁺ ions, which altered the electromagnetic properties of the NiZnCo ferrite. In particular, the coercivity (H_c) was 20～24 Oe, and the magnetic quality factor (Q), was more than 200 at x = 0 and x = 0.1 wt%, which is 4～5 times higher than that of NiZn and NiCuZn ferrites. Excellent electromagnetic properties were obtained for 0.1 wt% Nb₂O₅-doped NiZnCo ferrite, i.e., M_s = 88.3 emu/g, H_c =20.4 Oe, ρ = 2.4 × 10⁵ Ω m and Q = 202 @20 MHz. These excellent electromagnetic properties of Nb₂O₅-doped NiZnCo ferrites could be potentially applied to resonators and capacitors at high frequency.