National Taiwan University of Science and Technology

About: National Taiwan University of Science and Technology is a education organization based out in Taipei, Taipei, Taiwan. It is known for research contribution in the topics: Fuzzy logic & Control theory. The organization has 16288 authors who have published 21577 publications receiving 426294 citations. The organization is also known as: Taiwan Tech & Taiwantech.

Two-dimensional electronic transport and surface electron accumulation in MoS2.

Abstract: Because the surface-to-volume ratio of quasi-two-dimensional materials is extremely high, understanding their surface characteristics is crucial for practically controlling their intrinsic properties and fabricating p-type and n-type layered semiconductors. Van der Waals crystals are expected to have an inert surface because of the absence of dangling bonds. However, here we show that the surface of high-quality synthesized molybdenum disulfide (MoS2) is a major n-doping source. The surface electron concentration of MoS2 is nearly four orders of magnitude higher than that of its inner bulk. Substantial thickness-dependent conductivity in MoS2 nanoflakes was observed. The transfer length method suggested the current transport in MoS2 following a two-dimensional behavior rather than the conventional three-dimensional mode. Scanning tunneling microscopy and angle-resolved photoemission spectroscopy measurements confirmed the presence of surface electron accumulation in this layered material. Notably, the in situ-cleaved surface exhibited a nearly intrinsic state without electron accumulation.

Current progress on the production, modification, and applications of bacterial cellulose.

Abstract: Adoption of biomass for the development of biobased products has become a routine agenda in evolutionary metabolic engineering. Cellulose produced by bacteria is a "rising star" for this sustainable development. Unlike plant cellulose, bacterial cellulose (BC) shows several unique properties like a high degree of crystallinity, high purity, high water retention, high mechanical strength, and enhanced biocompatibility. Favored with those extraordinary properties, BC could serve as ideal biomass for the development of various industrial products. However, a low yield and the requirement for large growth media have been a persistent challenge in mass production of BC. A significant number of techniques has been developed in achieving efficient BC production. This includes the modification of bioreactors, fermentation parameters, and growth media. In this article, we summarize progress in metabolic engineering in order to solve BC growth limitation. This article emphasizes current engineered BC production by using various bioreactors, as well as highlighting the structure of BC fermented by different types of engineered-bioreactors. The comprehensive overview of the future applications of BC, aims to provide readers with insight into new economic opportunities of BC and their modifiable properties for various industrial applications. Modifications in chemical composition, structure, and genetic regulation, which preceded the advancement of BC applications, were also emphasized.

Multivariate fuzzy forecasting based on fuzzy time series and automatic clustering techniques

Abstract: In recent years, some methods have been presented based on fuzzy time series to make predictions in many areas, such as forecasting stock price, university enrollments, the weather, etc. When using fuzzy time series for forecasting, it is obvious that the length of intervals in the universe of discourse is important due to the fact that it can affect the forecasting accuracy rate. However, most of the existing fuzzy forecasting methods based on fuzzy time series used the static length of intervals, i.e., the same length of intervals. The drawback of the static length of intervals is that the historical data are roughly put into the intervals, even if the variance of the historical data is not high. Moreover, the forecasting accuracy rates of the existing fuzzy forecasting methods are not good enough. Therefore, we must develop a new fuzzy forecasting method to overcome the drawbacks of the existing fuzzy forecasting methods to increase the forecasting accuracy rates. In this paper, we propose a multivariate fuzzy forecasting method to forecast the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) based on fuzzy time series and automatic clustering techniques to overcome the drawbacks of the existing methods. First, we propose a new automatic clustering algorithm to generate different lengths of intervals in the universe of discourse. Then, we propose a new multivariate fuzzy forecasting method to forecast the TAIEX based on fuzzy time series and the proposed automatic clustering algorithm. The proposed multivariate fuzzy forecasting method gets higher average forecasting accuracy rates than the existing methods for forecasting the TAIEX.