The Insurance Sector in Japan: An Overview and Environmental Analysis

Insurance is a sector which affects the public interest. The sustainable development of the insurance sector is directly related to the stability of the national financial system and has an impact on the political stability of the country. Although the bursting of Japanese economic bubble and insurance liberalization had a serious impact on the Japanese insurance sector in the 1990s, it is getting back to the right track in recent years. Under the loose monetary and low interest rate policies in Japan at present, what is the current competitive environment? And could the Japan’s insurance sector has a steady growth continually? This article based on Porter‘s Five Force Model and PEST Model to analyze the micro-environment and macro-environment of the Japan’s insurance sector and reveals its current situation and potential challenges. Findings portray the competition in Japanese insurance sector is assessed as moderate and mainly comes from industry rivalry. In both policy and economic level, the current situation has a negative impact on the Japanese insurance sector. Moreover, the interest rate sensitivity of non-life insurance is generally lower than that of life insurance. So the negative interest rate policy in Japan will seriously affect the development of the life insurance sector, while the non-life insurance sector has little influence

Electronic Literature in China

In her article Electronic Literature in China Jinghua Guo discusses how the reception and the critical contexts of production of online literature are different in China from those in the West despite similar developments in digital technology. Guo traces the development of Chinese digital literature, its history, and the particular characteristics and unique cultural significance in the context of Chinese culture where communality is an aspect of society. Guo posits that Chinese electronic literature is larger than such in the West despite technical drawbacks and suggests that digitality represents a positive force in contemporary Chinese culture and literature

A Contrastive Study of Lexical Motivation of Chinese and English

The study of motivation has attracted growing attention from linguists; on the other hand, there still exist such questions as incorrect understanding of the relationship between motivation and arbitrariness and the absence of a unified criterion for classifying motivation. This paper will propose a sound classification and conduct a contrastive study of the lexical motivation of Chinese and English

Electronic structure characterization and bandgap engineeringofsolar hydrogen materials

Bandgap, band edge positions as well as the overall band structure of semiconductors are of crucial importance in photoelectrochemical and photocatalytic applications. The energy position of the band edge level can be controlled by the electronegativity of the dopants, the pH of the solution (flatband potential variation of 60 mV per pH unit), as well as by quantum confinement effects. Accordingly, band edges and bandgap can be tailored to achieve specific electronic, optical or photocatalytic properties. Synchrotron radiation with photon energy at or below 1 keV is giving new insight into such areas as condensed matter physics and extreme ultraviolet optics technology. In the soft x-ray region, the question tends to be, what are the electrons doing as they migrated between the atoms. In this paper, I will present a number of soft x-ray spectroscopic study of nanostructured 3d metal compounds Fe{sub 2}O{sub 3} and ZnO

RISE-Based Integrated Motion Control of Autonomous Ground Vehicles With Asymptotic Prescribed Performance

This article investigates the integrated lane-keeping and roll control for autonomous ground vehicles (AGVs) considering the transient performance and system disturbances. The robust integral of the sign of error (RISE) control strategy is proposed to achieve the lane-keeping control purpose with rollover prevention, by guaranteeing the asymptotic stability of the closed-loop system, attenuating systematic disturbances, and maintaining the controlled states within the prescribed performance boundaries. Three contributions have been made in this article: 1) a new prescribed performance function (PPF) that does not require accurate initial errors is proposed to guarantee the tracking errors restricted within the predefined asymptotic boundaries; 2) a modified neural network (NN) estimator which requires fewer adaptively updated parameters is proposed to approximate the unknown vertical dynamics; and 3) the improved RISE control based on PPF is proposed to achieve the integrated control objective, which analytically guarantees both the controller continuity and closed-loop system asymptotic stability by integrating the signum error function. The overall system stability is proved with the Lyapunov function. The controller effectiveness and robustness are finally verified by comparative simulations using two representative driving maneuvers, based on the high-fidelity CarSim-Simulink simulation

A design of resonant inelastic X-ray scattering (RIXS) spectrometer for spatial- and time-resolved spectroscopy.

The optical design of a Hettrick-Underwood-style soft X-ray spectrometer with Wolter type 1 mirrors is presented. The spectrometer with a nominal length of 3.1 m can achieve a high resolving power (resolving power higher than 10000) in the soft X-ray regime when a small source beam (<3 µm in the grating dispersion direction) and small pixel detector (5 µm effective pixel size) are used. Adding Wolter mirrors to the spectrometer before its dispersive elements can realize the spatial imaging capability, which finds applications in the spectroscopic studies of spatially dependent electronic structures in tandem catalysts, heterostructures, etc. In the pump-probe experiments where the pump beam perturbs the materials followed by the time-delayed probe beam to reveal the transient evolution of electronic structures, the imaging capability of the Wolter mirrors can offer the pixel-equivalent femtosecond time delay between the pump and probe beams when their wavefronts are not collinear. In combination with some special sample handing systems, such as liquid jets and droplets, the imaging capability can also be used to study the time-dependent electronic structure of chemical transformation spanning multiple time domains from microseconds to nanoseconds. The proposed Wolter mirrors can also be adopted to the existing soft X-ray spectrometers that use the Hettrick-Underwood optical scheme, expanding their capabilities in materials research

Transmedia Storytelling of Liangzhu Culture Inscribed Symbols

Liangzhu culture is “the evidence of Chinese civilization for 5000 years” and has great historical and social values. As an essential material for studying Liangzhu culture, the narrative carrier of Liangzhu culture inscribed symbols has experienced continuous expansion from paper media to new digital media. With the advancement and integration of technology, virtual reality technology has also become a unique storytelling medium. The development of new media has continuously optimized the way of cultural communication and information dissemination. This research aims to explore the transmedia storytelling of Liangzhu inscribed symbols, combine the existing VR exhibition project, further promote the dissemination of Liangzhu culture, and ultimately strengthen the construction of Liangzhu inscribed symbols and enhance the influence of Liangzhu culture through new technology

A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation

Source-free domain adaptation (SFDA) aims to adapt models trained on a labeled source domain to an unlabeled target domain without the access to source data. In medical imaging scenarios, the practical significance of SFDA methods has been emphasized due to privacy concerns. Recent State-of-the-art SFDA methods primarily rely on self-training based on pseudo-labels (PLs). Unfortunately, PLs suffer from accuracy deterioration caused by domain shift, and thus limit the effectiveness of the adaptation process. To address this issue, we propose a Chebyshev confidence guided SFDA framework to accurately assess the reliability of PLs and generate self-improving PLs for self-training. The Chebyshev confidence is estimated by calculating probability lower bound of the PL confidence, given the prediction and the corresponding uncertainty. Leveraging the Chebyshev confidence, we introduce two confidence-guided denoising methods: direct denoising and prototypical denoising. Additionally, we propose a novel teacher-student joint training scheme (TJTS) that incorporates a confidence weighting module to improve PLs iteratively. The TJTS, in collaboration with the denoising methods, effectively prevents the propagation of noise and enhances the accuracy of PLs. Extensive experiments in diverse domain scenarios validate the effectiveness of our proposed framework and establish its superiority over state-of-the-art SFDA methods. Our paper contributes to the field of SFDA by providing a novel approach for precisely estimating the reliability of pseudo-labels and a framework for obtaining high-quality PLs, resulting in improved adaptation performance