667 research outputs found
Empirical research on the evaluation model and method of sustainability of the open source ecosystem
The development of open source brings new thinking and production modes to software engineering and computer science, and establishes a software development method and ecological environment in which groups participate. Regardless of investors, developers, participants, and managers, they are most concerned about whether the Open Source Ecosystem can be sustainable to ensure that the ecosystem they choose will serve users for a long time. Moreover, the most important quality of the software ecosystem is sustainability, and it is also a research area in Symmetry. Therefore, it is significant to assess the sustainability of the Open Source Ecosystem. However, the current measurement of the sustainability of the Open Source Ecosystem lacks universal measurement indicators, as well as a method and a model. Therefore, this paper constructs an Evaluation Indicators System, which consists of three levels: The target level, the guideline level and the evaluation level, and takes openness, stability, activity, and extensibility as measurement indicators. On this basis, a weight calculation method, based on information contribution values and a Sustainability Assessment Model, is proposed. The models and methods are used to analyze the factors affecting the sustainability of Stack Overflow (SO) ecosystem. Through the analysis, we find that every indicator in the SO ecosystem is partaking in different development trends. The development trend of a single indicator does not represent the sustainable development trend of the whole ecosystem. It is necessary to consider all of the indicators to judge that ecosystem’s sustainability. The research on the sustainability of the Open Source Ecosystem is helpful for judging software health, measuring development efficiency and adjusting organizational structure. It also provides a reference for researchers who study the sustainability of software engineering
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Change in some aspects of Chinese core values, 1978-1988
Great change has taken place in China during the
past decade. As core values represent the most basic
aspects of social life, change in some aspects of Chinese
core values indicates that China is moving rapidly from
being an agricultural society toward becoming a modern
industrial society. China today can be regarded as
undergoing a process of modernization in which basic
institutions are being altered to accommodate industrial
development. Change was initiated by the policy of reform
and opening to the outside world in 1978, and in this
sense represents politically planned change. Change in
China is also evolutionary in character and is influenced
by the diffusion of foreign cultural traits into the
country. These foreign traits not only conflict with traditional Chinese culture but also have impacted
core values causing them to change.
In order to examine the extent to which change in
core values has taken place in China during the past
decade and analyse the relationships between the
process of modernization and change in core values, six
case studies of Chinese students at Oregon State
University were conducted. Several periodicals which
contain recent information and reports on the expression
of value changes in China were used to complement the
case studies. Anthropological sources related to the
theory of culture change and modernization served as the
major theoretical references.
The results of this study indicate that change has
taken place in several aspects of Chinese core values:
from morality to material gain, from social harmony to
competition, from collective duty to individual rights and
from uniformity to diversity. Social problems that have
emerged in China today along with these changes are being
accepted as the necessary price of China's modernization
program
Dual-Quantum-Dots-Labeled Lateral Flow Strip Rapidly Quantifies Procalcitonin and C-reactive Protein
Channel Capacity and Bounds In Mixed Gaussian-Impulsive Noise
Communication systems suffer from the mixed noise consisting of both
non-Gaussian impulsive noise (IN) and white Gaussian noise (WGN) in many
practical applications. However, there is little literature about the channel
capacity under mixed noise. In this paper, we prove the existence of the
capacity under p-th moment constraint and show that there are only finite mass
points in the capacity-achieving distribution. Moreover, we provide lower and
upper capacity bounds with closed forms. It is shown that the lower bounds can
degenerate to the well-known Shannon formula under special scenarios. In
addition, the capacity for specific modulations and the corresponding lower
bounds are discussed. Numerical results reveal that the capacity decreases when
the impulsiveness of the mixed noise becomes dominant and the obtained capacity
bounds are shown to be very tight
Scaling of global input–output networks
Examining scaling patterns of networks can help understand how structural features relate to the behavior of the networks. Input–output networks consist of industries as nodes and inter-industrial exchanges of products as links. Previous studies consider limited measures for node strengths and link weights, and also ignore the impact of dataset choice. We consider a comprehensive set of indicators in this study that are important in economic analysis, and also examine the impact of dataset choice, by studying input–output networks in individual countries and the entire world. Results show that Burr, Log-Logistic, Log-normal, and Weibull distributions can better describe scaling patterns of global input–output networks. We also find that dataset choice has limited impacts on the observed scaling patterns. Our findings can help examine the quality of economic statistics, estimate missing data in economic statistics, and identify key nodes and links in input–output networks to support economic policymaking
Stem cell protein Piwil1 endowed endometrial cancer cells with stem-like properties via inducing epithelial-mesenchymal transition
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