物联网中区块链技术的应用与挑战

随着物联网技术的快速发展和广泛应用,分布式网络环境下的身份验证、数据隐私、网络安全等问题变得更加重要,而这些问题可以通过引入区块链技术来得到有效解决.该文简述了区块链的基本概念,介绍了区块链在物联网中的应用场景,并对当前一些相关工作的成果进行了综述;介绍了针对物联网场景下区块链底层技术的研究以及区块链物联网所面临的问题与挑战,希望能对未来区块链物联网的研究有一定的参考价值.     

多元函数可微性研究

从降低偏导连续的条件和利用高阶偏导来判别多元函数可微性,并把相应结果推广到n元函数中。     

碳管阵列有效介电常数的数值模拟

引入平均场方法,计算单根碳管的有效介电常数.然后用On-shell方法计算由碳管组成的二维光子晶体的有效介电常数,与Maxwell-Garnett(MG)方法计算出的结果比较,前者更接近实验数据.     

有限单元体应力分量的处理方法

对复杂构件内某一点取出单元体,分析了单元体上各侧面应力分量的含义,利用有限元方法,得到一种新的应力分量处理方法。     

网络课件、网络课程光盘数据库查询方法的实现

介绍了两种网络课件、网络课程等制作完成后生成光盘,脱离后台服务器支持,实现光盘数据库查询功能的解决方法：一是HTML网页内嵌JavaScript或VBScript脚本访问本地数据库(MS Access);二是采用HTML Appucadon(HTA)形式来访问数据库．     

《多高层建筑结构设计》多媒体CAI系统开发

介绍了利用Visual Basic语言和Authorware作工具开发《多高层建筑结构设计》多媒体CAI系统的全过程,并介绍了该系统的主要功能,同时讨论了开发过程中的一些关键技术及其实现方法．     

VB6.0下利用PC机串口实现导弹整流罩壁厚的测量

为实现导弹整流罩壁厚的测量,介绍了在VB6．0环境下发挥PC机RS-232串口的作用,使用串行通讯控件MSCornm构成数据采集时间间隔为0．1秒的测量控制系统,介绍了控制系统软件中一些关键环节的处理过程。     

Countering medical nihilism by reconnecting facts and values

A pessimistic strain of thought is fomenting in the health studies literature regarding the status of medicine. Ioannidis’s (2005) now famous finding that “most published research findings are false” and Stegenga’s (2018) book-length argument for medical nihilism are examples of this. In this paper, we argue that these positions are incorrect insofar as they rest on an untenable account of the nature of facts. Proper attention to fallibilism and the social organization of knowledge, as well as Bayesian probabilities in medical reasoning, prompt us to ask why the cynics expect the results of quantitative studies to be incontrovertibly true in the first place. While we agree with Ioannidis and others’ identified flaws in the medical research enterprise, and encourage rectification, we conclude that medical nihilism is not the natural outcome of the current state of research.     

Epistemic benefits of the material theory of induction

C. D. Broad famously labelled the problem of providing our inductive practices with a proper justification “the scandal of philosophy” (Broad, 1952). Recently, John Norton has provided a dissolution of this problem (2014). According to Norton, inductive inference is grounded in particular facts obtaining within particular domains (J. Norton, 2003b, 2010, 2014). Because the material theory does not involve a universal schema of induction, Norton claims it dissolves the problem of induction (which implies that such universal schemas cannot be justified).In this paper, I critically evaluate Norton's dissolution. In particular, I argue that the problem of induction is an epistemological problem, that Norton's material theory entails an externalist epistemology, and that it is a common feature of such epistemologies that they dissolve the problem of induction. The upshot is that the material theory is not unique in its ability to reap the specifically epistemic benefits of dissolving the problem of induction, and thus that the epistemic advantages of the material theory over extant alternatives in this regard are fewer than it may appear at first sight.     

The total cost of misclassification in credit scoring: A comparison of generalized linear models and generalized additive models

This study examines whether the evaluation of a bankruptcy prediction model should take into account the total cost of misclassification. For this purpose, we introduce and apply a validity measure in credit scoring that is based on the total cost of misclassification. Specifically, we use comprehensive data from the annual financial statements of a sample of German companies and analyze the total cost of misclassification by comparing a generalized linear model and a generalized additive model with regard to their ability to predict a company's probability of default. On the basis of these data, the validity measure we introduce shows that, compared to generalized linear models, generalized additive models can reduce substantially the extent of misclassification and the total cost that this entails. The validity measure we introduce is informative and justifies the argument that generalized additive models should be preferred, although such models are more complex than generalized linear models. We conclude that to balance a model's validity and complexity, it is necessary to take into account the total cost of misclassification.