Amorphous-crystalline cobalt-molybdenum bimetallic phosphide heterostructured nanosheets as Janus electrocatalyst for efficient water splitting

Efficient and sustainable Janus catalysts toward hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) are highly desirable for future hydrogen production via water electrolysis. Herein we report an active Janus electrocatalyst of amorphous-crystalline cobalt-molybdenum bimetallic phosphide heterostructured nanosheets on nickel foam (CoMoP/CoP/NF) for efficient electrolysis of alkaline water. As-reported CoMoP/CoP/NF consists of amorphous bimetal phosphide nanosheets doped with crystalline CoMoP/CoP heterostructured nanoparticles on NF. It can efficiently catalyze both HER (η = 127 mV@100 mA cm^?2) and OER (η = 308 mV@100 mA cm^?2) in alkaline electrolyte with long-term durability. Serving as anode and cathode of water electrolyzer, CoMoP/CoP/NF generates electrolytic current of 10, 50 and 100 mA cm^?2 at low voltage of 1.50, 1.59, and 1.67 V, respectively.     

融合RBR和CBR的旅游服务企业自动谈判策略与谈判流程设计

类似旅游服务企业这一类具有服务链合作关系的企业,其谈判活动具有谈判内容相对规律、谈判决策易于规则化和案例化的特点。针对这些特点,引入RBR和CBR技术,将其融合运用于构建一种面向旅游服务企业的自动谈判模型。着重对引入两种技术后的自动谈判框架、自动谈判策略和自动谈判协议进行了分析和设计。     

Do different reputation systems provide consistent signals of seller quality: a canonical correlation investigation of Chinese C2C marketplaces

In recent years, consumer-to-consumer (C2C) marketplaces such as eBay and Taobao have adopted a component rating system, and run it simultaneously with but independent of a binary rating system. This paper investigates the extent to which binary rating and component rating systems are able to provide consistent signals of sellers?? quality, focusing on the reputation system design under the Chinese context. Using field data from Taobao, we performed canonical correlation analyses and found that the reputation signals of the two systems are generally correlated. As expected, negative and neutral ratings accurately reveal buyer dissatisfaction. Our results, however, show that positive ratings exhibit negative correlations with the three component ratings (i.e., item-as-described, customer service, and on-time delivery), suggesting that large numbers of positive ratings on Taobao may encourage trust in the platform but do not help to choose credible sellers. Our results elucidate the role of cultural difference in explaining the negative relationship in China and provide important implications for the design of reputation systems.     

超声波传感器在沙子料位检测中的应用

为提高混凝土的质量,配比很重要,其中沙子精确计量是关键因素之一。提出并设计了超声波系统测量沙子料位;为保证测量精度,采取自动增益控制电路和温度补偿。经实验证明:该方法简单、可行,为沙子质量的检测提供了一种新的参考方法。     

4''''-羟基-4-联苯甲酸的合成

以4-羟基联苯为原料,经酯化、傅-克酰基化、相转移催化下的苄基化、氯仿反应、催化氢解等反应,合成了标题化合物,总收率57.8%.化合物4'-苄氧基-4-乙酰基联苯、4'-苄氧基-4-联苯甲酸的结构经 1HNMR、IR、MS及元素分析确证.与文献比较,该路线选择性好、产率较高.     

基于改进的3D-CNN的高光谱遥感图像地物分类

高光谱遥感影像波段众多,包含丰富的辐射、空间和光谱信息,是多种信息的综合载体,应用广泛。但是传统的高光谱影像地物分类方法多着重于光谱维度的特征提取,却忽略了空间维度上的特征,进而影响了分类的准确性。三维卷积神经网络（Three-dimensional convolutional neural network, 3D-CNN）可以同时在3个维度上对数据进行卷积处理,故本文采用3D-CNN深度网络进行高光谱影像地物分类,并针对3D-CNN网络存在的问题,提出了一种基于改进的3D-CNN的高光谱遥感影像地物分类方法。本文方法对提取到的空间和光谱特征实现融合复用,尽可能发挥特征的价值。此外,本文引入浅层特征细节保存网络的思想,提出一种综合浅层特征细节保存的影像分类深度网络模型,进一步提高了高光谱影像地物分类的准确度。在Tensorflow框架下对2个常用的高光谱遥感影像数据集（Indian Pines和Pavia University）的实验结果表明,相比基础的3D-CNN网络,本文方法的分类精度提高了近2%,而且类别边界更准确。     

指纹图像质量测评方法研究

指纹图像质量的好坏对自动指纹识别系统的性能有着重要的影响,如何有效地评测指纹图像的质量和排除低质量的指纹图像是一个比较难的问题。从宏观和微观两方面出发,通过多个关键的评测指标来判断所采集的指纹图像是否符合一定的质量标准,对不符合质量标准的指纹图像要求重新采集,最后对指纹图像质量提出了更完整的评价体系。该评测方法是在充分考虑了指纹识别系统的特点之后提出,因此能很好地评测指纹图像的质量,从而提高系统的准确性和可靠性。     

Existence and global exponential stability of periodic solutions of recurrent cellular neural networks with impulses and delays

By using the continuation theorem of coincidence degree theory and constructing suitable Lyapunov functions, we study the existence, uniqueness and global exponential stability of periodic solutions for recurrent neural networks with impulsive perturbations and delays. Further, by using numerical simulation method, the influences of the impulsive perturbations on the inherent oscillations are investigated.     

基于小波变换的图像二维直方图分割方法

鉴于二维直方图阈值分割方法利用灰度的空间相关性取得高的分割效果和小波变换多尺度滤波思想,提出了一种基于小波变换的二维直方图分割结合方案;实验结果表明本文方法的有效性。     

NiFe-植酸复合物的室温制备及其全解水电催化性能

制备高稳定性、高活性双功能催化剂用于全解水制氢是氢能源大规模商业化应用的重要环节之一。本文以植酸(PA)、六水合氯化铁(FeCl₃·6H₂O)和六水合氯化镍(NiCl₂·6H₂O)为原料,采用两步室温浸渍法在泡沫镍(NF)上制备了片状无定形植酸-镍铁双金属复合材料(NiFe-PA)。采用线性扫描伏安法(LSV)考察了NiFe-PA修饰NF电极(NiFe-PA/NF)在碱性条件(1.0 mol/L KOH)的电解水催化性能。实验结果表明：由于NiFe双金属之间的协同效应,NiFe-PA/NF作为双功能催化剂显示出优越的析氧和析氢性能。NiFe-PA/NF电极在50 mA·cm^-2电流密度下析氧反应的过电位仅需220 mV;在10 mA·cm^-2电流密度下的析氢反应的过电位为135 mV。将NiFe-PA/NF组装成双电极系统用于全解水,达到10 mA·cm^-2电流密度的电池电压仅需1.61 V,低于贵金属催化剂体系RuO₂