In this study, we successfully grafted chitosan (CS) onto multi-walled carbon nanotubes (MWCNTs) to enhance their properties and potential applications in the biomedical field. FTIR spectroscopy confirmed the successful covalent bonding of CS onto MWCNTs, indicated by the new absorption peak of the amide bond (–CONH–). Thermal analysis showed that the modified MWCNTs (MWCNT-CS) had significant weight loss around 260 °C, suggesting the decomposition of hydroxypropyl chitosan, and confirming its presence in the nanocomposite. SEM images revealed that CS grafting improved the dispersibility of MWCNTs, a property crucial for their use as nanofillers in polymers. Moreover, the micro-tensile bond strength of dentin surface increased with increasing MWCNT-CS concentrations, indicating the potential of MWCNT-CS as a pretreatment for dentin bonding. After simulated aging, the bond strength remained significantly higher for MWCNT-CS groups compared to those without pretreatment. In biocompatibility assessment using the MTT assay, MWCNT-CS showed higher cell viability than MWCNT, suggesting improved biocompatibility after CS modification. The results of this study suggest that CS-modified MWCNTs could be promising materials for applications in dentin bonding, dentin mineralization, bone scaffolding, implants, and drug delivery systems.

The proliferation of service robots has led to a growing concern about the impact of these technological advancements on privacy. Despite the development, quantitative research on the influence mechanism of privacy concerns on service robot adoption intentions is still limited. This research explores the influencing mechanism and boundary conditions of the interaction effect between customer privacy concerns and service type on customers’ service robot adoption intentions.

The extensive application of robots in hospitality and tourism service has transformed the original human-contact into contact-less, so it is necessary to understand the transformation of customers consumption behaviors under this new service mode. While studies have started investigating how service robots enhance the consumer autonomy, the impact of such technology on customers consumption behaviors remains largely unexplored and its underlying mechanism are still unclear. To address this issue, we explore how service robots shape customers autonomous behaviors in hospitality and tourism services. Drawing on the social impact theory, we presented an underlying process in terms of social discomfort, and reveal the boundary conditions.

CNTs/Al-Li composite was first prepared by hot-pressed sintering from Al-Li alloy powder and CNTs solution, and then the hot compression tests were performed on MMS-100 thermal simulator at strain rate range of 0.01– 10 s− 1, deformation temperature range of 350–500 °C, and total deformation amount of 60%. True stress–strain curves were plotted, and constitutive equation as well as hot processing maps were successfully confirmed based on Arrhenius constitutive model and Prasad instability criterion. Results show that CNTs/Al-Li composite have a very poor hot deformation ability and narrow processing region, which is strain rate range of 0.1–1 s− 1 and deformation temperature range of 360–400 °C. Hot extrusion experiment was carried out and the processing parameters were selected according to the established hot processing map, and an improvement on strength and a good balance between strength and plasticity can be obtained, which is about 650 MPa for tensile strength and 9% for elongation.

We apply a modified Convolutional Neural Network (CNN) model in conjunction with transfer learning to predict whether an active region (AR) would produce a ≥C-class or ≥M-class flare within the next 24 hours. We collect line-of-sight magnetogram samples of ARs provided by the SHARP from May 2010 to September 2018, which is a new data product from the HMI onboard the SDO. Based on these AR samples, we adopt the approach of shuffle-and-split cross-validation (CV) to build a database that includes 10 separate data sets. Each of the 10 data sets is segregated by NOAA AR number into a training and a testing data set. After training, validating, and testing our model, we compare the results with previous studies using predictive performance metrics, with a focus on the true skill statistic (TSS). The main results from this study are summarized as follows. First, to the best of our knowledge, this is the first time that the CNN model with transfer learning is used in solar physics to make binary class predictions for both ≥C-class and ≥M-class flares, without manually engineered features extracted from the observational data. Second, our model achieves relatively high scores of TSS = 0.640±0.075 and TSS = 0.526±0.052 for ≥M-class prediction and ≥C-class prediction, respectively, which is comparable to that of previous models. Third, our model also obtains quite good scores in five other metrics for both ≥C-class and ≥M-class flare prediction. Our results demonstrate that our modified CNN model with transfer learning is an effective method for flare forecasting with reasonable prediction performance.

민속문화는 예이츠에게 큰 의미가 있다. 그는 슬라고와 골웨이 현 지역의 야담, 민속, 및 민요를 수집하여 민속집을 간행했다. 원시민속문화와 창조적 작품으로서 예이츠의 민속집은 그가 국민시인으로 성장하는 창의적 작가이면서 독창적인 인속학자인 사실을 보여준다. 따라서 우리는 그 근본과 원인을 오컬티즘으로 돌린 수 있다. 그가 재생시키려고 한 민속전통은 그의 시와 시학의 불가분의 부분이 되며, 이로써 엘리트 앙글로 아이리쉬 계층과 카톨릭 농민들을 위한 신비주의적이고 보편적인 문학을 만들고, 이로써 중교적 정치적 갈등을 풀고 문화의 통합을 달성한다.

Climate friendly technologies contribute to tackling global climate crisis and the dynamic transfer of these technologies is important to achieve universal climate actions. The UNFCCC, and its recent Paris Agreement, have introduced international assistance to promote climate related-technology transfer. They call for collaborative actions from both technology supplier and demander sides in order to enable environments for a meaningful and effective technology transfer. According to the UNFCCC, the international technology assistance is unlikely to work in a desired way with the absence of indigenous enabling environments. Therefore, it is crucial to identify, assess and overcome potential barriers potentially confronted by host countries in their acquisition of climate technologies, which helps prepare these countries for climate resilience economy and sustainable development. This paper attempts to provide a deep and comprehensive analysis on enabling policy/law environments in host countries and uses Asian countries as examples in most occasions.

The near real-time speckle masking reconstruction technique has been developed to accelerate the processing of solar images to achieve high resolutions for ground-based solar telescopes. However, the reconstruction of solar subimages in such a speckle reconstruction is very time-consuming. We design and implement a new parallel speckle masking reconstruction algorithm based on the Compute Unified Device Architecture (CUDA) on General Purpose Graphics Processing Units (GPGPU). Tests are performed to validate the correctness of our program on NVIDIA GPGPU. Details of several parallel reconstruction steps are presented, and the parallel implementation between various modules shows a significant speed increase compared to the previous serial implementations. In addition, we present a comparison of runtimes across serial programs, the OpenMP-based method, and the new parallel method. The new parallel method shows a clear advantage for large scale data processing, and a speedup of around 9 to 10 is achieved in reconstructing one solar subimage of 256×256 pixels. The speedup performance of the new parallel method exceeds that of OpenMP-based method overall. We conclude that the new parallel method would be of value, and contribute to real-time reconstruction of an entire solar image.

본 논문은 엑프라시스에 이론에 근거하여, 예이츠가 어떻게 자신의 후기시에 그리스와 비잔티움의 조각의 미학과 다양한 형식을 녹여내는지 논의한다. 예이츠는 상반의 시학에 조각적 특징을 사용하는데, 모순을 찾고 모순을 해결하기 위한 여러 가지 생각과 방법을 제시하고, 예술과 영원성에 대한 개념을 만든다. 예술적 형식을 통해서 예이츠는 시에서 인생과 역사의 모순을 화합시킴으로써 존재의 통일을 달성한다.

한 젊은 여인에 대한 사랑으로 복잡해지는 예이츠의 중기 시는 나이 들어감에 대해 미묘한 반응을 보인다. 예이츠는 나이의 속박에서 풀려나는 젊음과 열정의 세계를 갈구한다. 반면에 그는 노년과 전통적인 노년에 대한 생각들에 영향을 받는 한 계도 포괄적으로 인식한다. 이 두 상충하는 목소리는 똑같이 강하며 노년기의 시에서 공개적인 저항과 투쟁으로 발전하여 시들 속의 긴장감을 만들어낸다.

예이츠의 늙어가는 애인에 대한 시는 다양한 반응을 보인다. 애인의 늙 어감은 낭만적 환상으로 시작하여, 낭만적 표현을 위한 존재로, 시인이 피하고 부정하 는 감상적 실재로, 언어로 채울 준비가 안된 부재로, 그리고 마침내 살피고, 명상하고, 창조하는 기회가 된다. 늙음은 이제 시의 영감을 위한 생과 사의 문제가 아니라, 시인 이 인정하고, 사색하고, 마침내 변화시키는 엄연한 사실이 된다. 연인에 대한 보다 나 은 앎과 보다 나은 관계와 자신에 대한 이해뿐 아니라 철학적 사색, 사회적 비판, 시적 상상력을 위한 음식이 된다. 애인의 나이듦으로 초래되는 부재는 강한 존재가 된다. 이 를 통해서 사랑에 의존하는 꿈꾸는 시인에서 자신과 자신의 예술의 주인이 된다.

The paper applies CFD numerical simulation technology, selects the typical urban commercial block as the research object, uses PM I 0 which are from automobile exhausted gas as the source of pollution, simulates the spatial density di stribution of the inhalable pa11icle, verifies the accuracy based on the monitoring data and reveals the diffusion rule of atmospheric pollutants in the three dimensional block space. The results show that there is a close relationship between the diffusion effect of the contaminated gas and three dimensional landscape pattern in blocks. At different height levels such as I 0 meters, 30 meters and 50 meters, the decreasing trend of the density of the pollutants and the uniformity of the spatial distribution are quite obvious. The height of the buildings along the streets, the space combination and the shape of the buildings themselves determine the inner smoothness of the streets. In the urban planning, one must fully consider the effect of three dimensional pattern on air pollution in blocks. From the aspects of urban ventilation, open space, height of the horizon line and disheartened space of the bottom, three dimensional landscape pattern of urban blocks should be optimized, which can effectively improve the current situation of severe atmospheric pollution.

W. B. 예이츠의 노년을 다룬 초기 시는, 비록 예이츠가 젊어서 썼지만, 상실 속에서의 위엄이나 폐허에 대한 열정과 같은 기본적인 톤이 생기는데 이것은 그 의 후기 시에서 늙음에 대한 거친 저항으로 발전한다. 그의 초기 시는 후기의 나이에 대한 시의 서곡의 역할을 한다. 더구나, 이 시들은 후기의 나이든 예이츠가 늙음의 족 쇄를 벗고 젊은 자신과 다시 일체가 되게 하는 데 도움이 된다.

Due to the lack of an accretion disk in a polar (magnetic cataclysmic variable, MCV), the material transferred from the secondary is directly accreted onto the white dwarf, forming an accretion stream and a hot spot on the white-dwarf component. During the eclipses, different light components can be isolated. Therefore, the monitoring of eclipsing polars could provide valuable information on several modern astrophysical problems, e.g., CVs as planetary hosting stars, mass transfer and mass accretion in CVs, and the magnetic activity of the most rapidly rotating cool dwarfs. In the past five years, we have monitored about 10 eclipsing polars (e.g., DP Leo and HU Aqr) using several 2-m class telescopes and about 100 eclipse profiles were obtained. In this paper, we will introduce the progress of our research group at YNOs. The first direct evidence of variable mass transfer in a CV is obtained and we show that it is the dark-spot activity that causes the mass transfer in CVs. Magnetic activity cycles of the cool secondary were detected and we show that the variable mass transfer is not caused by magnetic activity cycles. These results will shed light on the structure and evolution of close binary stars (e.g., CVs and Algols).

Transportation problem is an optimization problem. In general, it was studied under random or uncertain condition. Considering the recent complexity, it is not enough to make should be a perfect transportation plan only based on. Usually, there is not only uncertainty but also randomness in many systems. In this paper, the aim is to investigate a transportation problem under uncertain and random environment. As a result, a conceptual uncertain random model is proposed for the problem, where the supplies are considered as random variables, and the costs and the demands are uncertain variables. By minimizing the expected value of uncertain objective function and taking confidence levels on constraints, transforming the model into a crisp mathematical form is the main conclusion. By minimizing the expected value of uncertain objective function and taking confidence levels on constraints, the above model can be turned to a mathematical form. Then transforming the model into a typical mathematical programming model is the main conclusion by using uncertainty theory and probability theory. At the end, a numerical example is given to show the feasibility of the model.