587 research outputs found
Mechanisms and Therapy for Cancer Metastasis to the Central Nervous System
No full textThis eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contac
Mechanisms and Therapy for Cancer Metastasis to the Central Nervous System
No full textThis eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contac
The Language of Beauty Blogs
No full textThis master's paper has explored the fascinating topic of the language of beauty blogs. Through an in-depth analysis of various characteristics, it has become evident that the language used in beauty blogs is purposefully crafted to captivate, inspire, and engage readers in the realm of beauty and self-care.
The language of beauty blogs embraces a whimsical tone, transporting readers to a magical world of enchantment and allure. Flowery descriptions and poetic phrases are employed to evoke emotions and create vivid imagery, enhancing the sensory experience of readers.
As the beauty industry continues to evolve, further research into the language of beauty blogs can shed light on emerging trends, evolving linguistic strategies, and the influence of these platforms on consumer behavior. Exploring the language of beauty blogs opens up avenues for future studies and offers a deeper understanding of the interplay between language, beauty, and self-expression in the digital age.Навчально-науковий інститут філології Київського національного університету імені Тараса ШевченкаКафедра англійської філології та міжкультурної комунікаці
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Non-Boussinesq stability analysis of natural convection over a horizontal hot plate
Get PDFFlow that develops over a semi-infinite horizontal plate has been studied over the past decades. In this particular case, a boundary-layer flow over a horizontal hot plate is chosen and its stability characteristics at a finite distance from the leading edge are analyzed. A critical value of the Grashof number Gr based on the local boundary-layer thickness is defined and used to analyze the resulting instability. Due to the nature of the hot plate, the Boussinesq approximation used in previous linear stability analyses becomes less desirable since wall-to-ambient temperature differences are not close to unity. And as a result, a non-Boussinesq analysis is needed and presented here for two instability modes: vortex, i.e. Gortler-like streamwise vortices, and wave, i.e. spanwise traveling waves.Numerical results are presented such as the neutral stability curve, and critical Grashof number for Prandtl numbers of 0.7 over a wide range of wall-to-ambient temperature ratios. It is found that as this ratio increases, the susceptibility of the flow to the vortex mode of instability decreases while the wave mode instability becomes more prominent. The present study provides an approach suitable for both the vortex and wave instability modes with different wall-to-ambient temperature ratio. The results for the two modes are compared with each other as well as to other available instability data
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Decomposition of Transport Paths: Map-Compatibility and Capacity Constraint
Get PDFOptimal transportation studies the transportation of a given mass distribution to a designatedmass distribution so that a given transport cost function reaches minimum. Under different formulations of transport problems, including the Monge transport problem, the Kantorovich transport
problem, and the ramified transport problem, transportation has various characterizations. In this
dissertation, we use transport paths from ramified transportation to characterize transportation,
and use measures and currents to characterize transport paths. We show that a good decomposition of a transport path can be refined into a better decomposition that is more cycle “sensitive”.
Using better decomposition, we show that cycle-free transport paths can be decomposed into map-compatible transport paths components, and we also prove similar results when transport paths are
under capacity constraint. These decomposition results describe properties of optimal transport
paths, and using these properties we can narrow down the scope of finding an optimal transport
path. The notion of capacity constraint on transport paths is a generalization of the usual transport
paths, and it makes transport paths more relevant and applicable to real life transportation.
In Chapter 1, we first review concepts related to measures, then introducing the Monge and the
Kantorovich transport problems. In the Monge and the Kantorovich transport problem, transportation is characterized by functions defined on sources and targets, rather than the actual transport
path connecting them. In the next chapter, we will see another characterization of transportation
using transport paths.
In Chapter 2, we introduce ramified transportation, which uses the actual transport paths from
sources to targets to characterize the transportation between two mass distributions. Transport
paths in ramified transportation can be described using rectifiable 1-currents, and this is where we
start in this chapter.
In Chapter 3, we first revise good decompositions of a transport path into better decompositions
which are used later to decompose cycle-free transport paths based on targets. Then we show the
components of previously decomposed transport paths are compatible with certain transport maps
and plans. Finally we consider a special type of transport paths, the stair-shaped transport paths,
which can be decomposed as the difference of two map-compatible transport paths.
In Chapter 4, we study transport paths under capacity constraint. In this case, each transport
path is defined through multiple components such that the total mass transported on each transport
path component is no more than the predetermined capacity. Then we start to analyze the amount
of components needed in a transportation, the existence of admissible optimal transport paths,
regularities among different transport path components, and existence of map-compatibility
Roll Back, a user experience design to help people recall memories
Get PDFThis article introduces a user experience design of recalling memories. People take numerous photos in their whole lives, so they need a powerful tool to help them organize and review all those pictures in an interesting way. After having interviews with target users, most of them have problems with organizing massive digital photos. This process costs them a lot of time and makes them feel boring. In this article, a mobile app named “Roll Back” is designed to solve this problem, users can review their memories randomly by solving a simplified Rubik’s Cube game, their photos will display on the surface of the Rubik’s Cube. Users can also build their own memory cube by selecting photos and placing them on the cube surfaces. They are also allowed to review their photo galleries in the memory cube mode. This essay introduces the creation process of this app in detail and proposes using a game-playing method to help users recall the past. Simultaneously, people can save their own memory cubes video in their albums and post them on social media platforms. This experience design combines various functions, such as games, social networking, and image classification. The usability test shows that the memory cubes function can be easily understood, and the social networking function can be improved
IPS as a tool for designing to improve the care for people with dementia: designing a new system for nursing home
No full textThis project aims to improving the care service for people with dementia who exhibits BPSD (Behavioral and Psychological Symptoms of Dementia) by providing the relevant stakeholders data insights, and meanwhile improving these people’s working efficiency
Classification of failure modes of pipelines containing longitudinal surface cracks using mechanics-based and machine learning models
No full textAbstract This paper applies the mechanics-based approach and five machine learning algorithms to classify the failure mode (leak or rupture) of steel oil and gas pipelines containing longitudinally oriented surface cracks. The mechanics-based approach compares the nominal hoop stress remote from the surface crack at failure and the remote nominal hoop stress to cause unstable longitudinal propagation of the through-wall crack to predict the failure mode. The employed machine learning algorithms consist of three single learning algorithms, namely naïve Bayes, support vector machine and decision tree; and two ensemble learning algorithms, namely random forest and gradient boosting. The classification accuracy of the mechanics-based approach and machine learning algorithms is evaluated based on 250 full-scale burst tests of pipe specimens collected from the open literature. The analysis results reveal that the mechanics-based approach leads to highly biased classifications: many leaks erroneously classified as ruptures. The machine learning algorithms lead to markedly improved accuracy. The random forest and gradient boosting models result in the classification accuracy of over 95% for ruptures and leaks, with the accuracy of the decision tree and support vector machine models somewhat lower. This study demonstrates the value of employing machine learning models to improve the integrity management practice of oil and gas pipelines
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