以浙江高校计算机等级考试为导向的高职计算机基础教学

本文介绍了浙江省高校计算机等级考试基本情况,分析了当前计算机基础教育的现状及历年计算机等级考试通过率,提出了以等级考试推动计算机基础教学改革的合理化建议。     

2019年男篮世界杯总决赛的关键制胜因素探究

运用文献资料调研、数理统计对比以及秩和比综合评价法等,对2019年男子篮球世界杯中晋级总决赛的两支球队的整体实力以及攻防两端的技术运用情况进行深入分析,据此总结出高水平男篮比赛的关键制胜因素,这也为中国男篮今后更好地备战世界大赛提供一定参考和借鉴。研究结果表明:在进攻方面,出色的前场篮板拼抢能力、稳定的中远投能力和优秀的团队配合能力,在防守方面,强有力的内线封盖能力和后场篮板保护能力,以及攻防两端均衡的综合实力是高水平球队在比赛中的关键制胜因素。     

图书采购联合招标中各方权力权重研究

认为图书采购联合招标中联合各方权力权重问题是研究图书采购联合招标的重点之一。通过研究群决策中加权投票情况下的权力分配问题,建立计算不同群体偏好序差异的测度模型,将联合招标各方对投标书商的各种可能选择表示成群体偏好序列,利用欧氏距离公式计算出的排序距离来度量不同群体偏好序的差异,进而求出联合各方的权力权重。     

忧患与超越--中国古代士人内心矛盾分析

中国古代士人,是精神文化的创造者、传播者、接受者.从古至今,士人对文化的发展起着重要作用,从其心理看,不出两面,既有政治依附意识,又具有反叛性格,故统治阶级对士人采用两手进行控制,即拉拢与镇压,从而形成其矛盾心理.掘其根源,由道统意识、超越意识、忧患意识、功名意识所致.     

医学论文中2组等级疗效比较问题分析与建议

列举医学论文中2组等级疗效比较时常见的问题:将数据合并成一个四格表分析,按多个四格表分析,采用t检验,秩和检验结果错误,未做统计学处理.分析出现这些问题的原因并给出了建议.     

Hermite矩阵保秩1导出映射

设C是复数域,fij(i,j∈[n]■{1,2,…,n})是从C到自身的映射,Hn(C)是C上n阶Hermite矩阵全体所成集合,f是Hn(C)上由{fij}n诱导的映射,在f(0)=0条件下给出了Hn(C)上保秩1的导出映射的形式。     

抑郁症：一个依恋和社会阶层的视角

依恋、社会阶层与抑郁症的形成相关联。依恋和社会阶层的观点认为,抑郁症的核心症状——行为退缩、低自尊以及快感丧失等是为调节人的行为和情绪、表达人对成胁与安全的感受进化而来的,情感的调节机制对抑郁症有重要的影响。这些观点为预防和治疗抑郁症提供了一个新的思路。     

置信限曲线等同性原理及其应用

本文对连续分布的置信限曲线变化规律进行了研究。证明了分布函数的百分率Ｐｔ置信度为γ的单侧置信上（下）限曲线，同时也是具有该分布函数的母体百分位值的置信度为γ的单侧置信下（上）限曲线，并且提出了一种利用秩分布确定置信限曲线数学表达式中参数的方法，由此可求出可靠度的置信限。     

An efficient page ranking approach based on vector norms using sNorm(p) algorithm

In the whole world, the internet is exercised by millions of people every day for information retrieval. Even for a small to smaller task like fixing a fan, to cook food or even to iron clothes persons opt to search the web. To fulfill the information needs of people, there are billions of web pages, each having a different degree of relevance to the topic of interest (TOI), scattered throughout the web but this huge size makes manual information retrieval impossible. The page ranking algorithm is an integral part of search engines as it arranges web pages associated with a queried TOI in order of their relevance level. It, therefore, plays an important role in regulating the search quality and user experience for information retrieval. PageRank, HITS, and SALSA are well-known page ranking algorithm based on link structure analysis of a seed set, but ranking given by them has not yet been efficient. In this paper, we propose a variant of SALSA to give sNorm(p) for the efficient ranking of web pages. Our approach relies on a p-Norm from Vector Norm family in a novel way for the ranking of web pages as Vector Norms can reduce the impact of low authority weight in hub weight calculation in an efficient way. Our study, then compares the rankings given by PageRank, HITS, SALSA, and sNorm(p) to the same pages in the same query. The effectiveness of the proposed approach over state of the art methods has been shown using performance measurement technique, Mean Reciprocal Rank (MRR), Precision, Mean Average Precision (MAP), Discounted Cumulative Gain (DCG) and Normalized DCG (NDCG). The experimentation is performed on a dataset acquired after pre-processing of the results collected from initial few pages retrieved for a query by the Google search engine. Based on the type and amount of in-hand domain expertise 30 queries are designed. The extensive evaluation and result analysis are performed using MRR, [email protected], MAP, DCG, and NDCG as the performance measuring statistical metrics. Furthermore, results are statistically verified using a significance test. Findings show that our approach outperforms state of the art methods by attaining 0.8666 as MRR value, 0.7957 as MAP value. Thus contributing to the improvement in the ranking of web pages more efficiently as compared to its counterparts.     

伴随矩阵的原矩阵

给出了复数域上一个n阶矩阵存在原矩阵的一个充要条件,讨论了伴随矩阵的原矩阵的存在性。