Gravitational Effects of Rotating Bodies

We study two type effects of gravitational field on mechanical gyroscopes (i.e. rotating extended bodies). The first depends on special relativity and equivalence principle. The second is related to the coupling (i.e. a new force) between the spins of mechanical gyroscopes, which would violate the equivalent principle. In order to give a theoretical prediction to the second we suggest a spin-spin coupling model for two mechanical gyroscopes. An upper limit on the coupling strength is then determined by using the observed perihelion precession of the planet's orbits in solar system. We also give predictions violating the equivalence principle for free-fall gyroscopes .Comment: LaTex, 6 page

The Roles of Security and Trust: Comparing Cloud Computing and Banking

AbstractThe evolution of information technology (IT) – related to Web, servers and data – and their capabilities have brought cloud computing to the forefront. While cloud computing in recent years has energized the information systems professional community, it has now embarked on information systems research arena as a prevalent topic for integrated information and systems. Organizations of all sizes are keen on understanding this intriguing yet potentially risky IT artifact as they see it to be a game changer in terms of the way their current and future computing needs could potentially be met. However, they also are skeptical and concerned about the security, trust and privacy issues related to its adoption. In this study we identify the roles of security and trust in cloud computing environments from the perspective of organizations who would entrust their private information to the cloud computing providers. We compare cloud computing and banking since to both security and trust is of vital importance for their service users and providers. For any new technology such as cloud computing trust is not easily established, it gradually builds based on providers’ reputation for good performance and security, earning users’ trust over time. The clients must trust the cloud providers just like they would be willing to trust banks to put their money into them. Similarly, the cloud providers must demonstrate that they are reliable and trustworthy. Therefore for widespread adoption of cloud computing, we contend that customers should be able to store their data in the cloud with same confidence as they store their money and other valuables in the banks today. To help study and address the roles of security and trust further, we provide technological, regulatory, and behavioral recommendations for consideration

Modified weak signal fault diagnosis method forbearing inner ring

In view of the shortcomings of mode mixing in EMD, the excess IMF component in the low frequency band, spectral kurtosis has no adaptive. The method of EMD and spectral kurtosis are proposed. Spectral kurtosis is very sensitive to the fault signal and it can enhance the fault pulse signal effectively. Then combine spectral kurtosis with EMD to overcome the shortcomings of EMD. Improved the efficiency and accuracy of EMD decomposition and the level of fault diagnosis. The method of EMD and spectral kurtosis are applied to the simulation signal and rolling bearing fault diagnosis. The experimental results show that the method of EMD and spectrum kurtosis can accurately judge the rolling bearing weak fault and have a good application prospect

Current status of development of Chinese versions of insomnia-related scales

Insomnia disorder is the most common sleep-wake disorder, and long-term insomnia has a serious negative impact on the physical and mental health of individuals. It is crucial for researchers and clinicians to select appropriate measurement tools as evaluative indicators for insomnia. There are some commonly used insomnia assessment scales in the world, including Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), etc. These scales are widely used to assess insomnia symptoms and sleep quality, providing researchers and clinicians with reliable quantitative tools. In addition to conventional insomnia assessment scales, some scales evaluate sleep cognition, sleep hygiene, and sleep conditions of different groups of people. Domestic scholars are actively developing sleep assessment tools suitable for the Chinese population, which also include sleep assessment for special groups. In addition, some sleep assessment with traditional Chinese medicine characteristics have also been developed to meet the needs of integrated traditional Chinese and Western medicine treatment. During the process of scale development, researchers should clarify the purpose of scale, select appropriate psychometric methods, and emphasize the reliability and validity of the scale. Furthermore, it is important to develop scales that can differentiate subtypes of insomnia and enhance the diversity of insomnia-related measures. This article summarizes the current situation of development of Chinese versions of insomnia-related scales, and provides evaluation and future prospects for existing scales

Experimental study on dynamic deformation properties of muck soil under low frequency cyclic loading

A series of dynamic triaxial tests were performed to investigate the dynamic deformation properties of the muck soil, in the Pearl River Delta region of Shenzhen, China, under different consolidation ratios, loading frequencies and cyclic stress with SPAX-2000 triaxial testing system. The results showed that the initial stress-strain hysteresis curve of the muck soil under the low-frequency cyclic loading developed rapidly and the curve shape changes from sparse to tight and to slightly sparse. The cumulative plastic strain of muck soil increased nonlinearly with the dynamic stress amplitude, and there was a critical dynamic stress. As the dynamic stress amplitude reached its critical value, the strain increased sharply and the soil microstructure was destroyed. There was a frequency threshold between 0.25 Hz and 0.5 Hz, and the cumulative plastic strain development mode was from stable model to over-destructive model. The stiffness of the muck decreased gradually, and the plastic deformation increased as the number of cycles increased. Therefore, the lower the loading frequency developed, the greater the plastic deformation would be. The dynamic elastic modulus decreased as the plastic deformation increased, while the dynamic elastic modulus increased as the consolidation stress increased. Moreover, the empirical formulas of dynamic elastic modulus and plastic strain index were established with the consolidation stress ratio as the parameter, and the validity was verified by experimental data

Seismic response research of a residual heat removal pump at startup considering the fluid-induced vibration

Residual heat removal pumps used in nuclear power plants are activated by an emergency or accident such as an earthquake. Their antiseismic performance is therefore a critical factor. In this study, we used a new method based on computational fluid dynamics and finite element analysis to investigate the seismic response of a residual heat removal pump under a 1/2 SSE seismic load. The fluid-induced vibration was also considered in the simulation to ensure accurate prediction of the antiseismic performance. The deformation of the trailing edge of the impeller at startup was quantitatively analyzed by examining the seismic response and fluid-induced vibration. The expression for the clearance between the impeller and diffuser at startup was obtained by combining the effects of the seismic load and fluid-induced vibration. An analysis of the results showed that the deformation of the trailing edge of the impeller produced a greater safety margin in the pump structure when it is subjected to a seismic load. The fluid-induced vibration had greater effect on seismic response analysis at startup. The expression of the clearance between the impeller and diffuser at startup was obtained as a damped oscillation function that combines an exponential function and a sine function

Learning Heavily-Degraded Prior for Underwater Object Detection

Underwater object detection suffers from low detection performance because the distance and wavelength dependent imaging process yield evident image quality degradations such as haze-like effects, low visibility, and color distortions. Therefore, we commit to resolving the issue of underwater object detection with compounded environmental degradations. Typical approaches attempt to develop sophisticated deep architecture to generate high-quality images or features. However, these methods are only work for limited ranges because imaging factors are either unstable, too sensitive, or compounded. Unlike these approaches catering for high-quality images or features, this paper seeks transferable prior knowledge from detector-friendly images. The prior guides detectors removing degradations that interfere with detection. It is based on statistical observations that, the heavily degraded regions of detector-friendly (DFUI) and underwater images have evident feature distribution gaps while the lightly degraded regions of them overlap each other. Therefore, we propose a residual feature transference module (RFTM) to learn a mapping between deep representations of the heavily degraded patches of DFUI- and underwater- images, and make the mapping as a heavily degraded prior (HDP) for underwater detection. Since the statistical properties are independent to image content, HDP can be learned without the supervision of semantic labels and plugged into popular CNNbased feature extraction networks to improve their performance on underwater object detection. Without bells and whistles, evaluations on URPC2020 and UODD show that our methods outperform CNN-based detectors by a large margin. Our method with higher speeds and less parameters still performs better than transformer-based detectors. Our code and DFUI dataset can be found in https://github.com/xiaoDetection/Learning-Heavily-Degraed-Prior

Epigenetic regulation of sulfur homeostasis in plants

Plants have evolved sophisticated mechanisms for adaptation to fluctuating availability of nutrients in soil. Such mechanisms are of importance for plants to maintain homeostasis of nutrient elements for their development and growth. The molecular mechanisms controlling the homeostasis of nutrient elements at the genetic level have been gradually revealed, including the identification of regulatory factors and transporters responding to nutrient stresses. Recent studies have suggested that such responses are controlled not only by genetic regulation but also by epigenetic regulation. In this review, we present recent studies on the involvement of DNA methylation, histone modifications, and non-coding RNA-mediated gene silencing in the regulation of sulfur homeostasis and the response to sulfur deficiency. We also discuss the potential effect of sulfur-containing metabolites such as S-adenosylmethionine on the maintenance of DNA and histone methylation