Story of Twin Cities, Who Will be the Next Storm Center of Art Fairs?

Since 2000, with the rapid development of China\u27s economy, the evolution of contemporary art fairs in China has been accelerated. This paper takes two representative cities, Beijing and Shanghai, as examples. In the past one decade, Shanghai and Beijing have respectively led the trend of contemporary art market due to various internal and external factors. This paper uses PEST model to analyze, trying to find out who will be the next center of contemporary art in the next ten years. The first part of this paper mainly starts from the differentiations in policies and regional distributions of Chinese contemporary art fairs, sorts out the development status and classification of art fairs, and summarizes the development status of Chinese art fairs. The second part is the influence of other factors including economy, humanity, society, science and technology on the contemporary art fair of China. The third part is the interview and analysis of famous art fairs in China. The fourth part, through the analysis of the reasons, combined with the domestic reality, to find the answer to the problem. Based on the existing domestic and foreign related works as the research foundation, this paper applies data, theory and case to research appropriately. In the context of the overall growth of China\u27s contemporary art market economy, the research on art fairs is of great significance to the development of contemporary art fairs

Practical implementation of multiple-input multiple-output visible light communication systems

Wireless data transmission occurs everywhere and the global data traffic is growing rapidly. Current radio frequency (RF) spectrum resource is becoming saturated and our current RF based wireless communication system will not meet the demands for data traffic in the future. Research efforts have been put into increasing the spectral efficiency of existing RF networks. Techniques such as multiple-input multiple-output (MIMO), have been well studied. However, it is still insufficient for the rapid growth of the wireless data traffic. The visible light (VL) spectrum is over 1000 times wider than the size of the entire 300 GHz RF spectrum, therefore, it is a viable alternative resource. The spread of light emitting diode (LED) lighting infrastructures provides a good opportunity for visible light communication (VLC). VLC turns the LEDs into high speed wireless data transmitter while retaining their illumination function. VLC has drawn much attention in recent years. MIMO techniques have also been studied in VLC. However, there have only been a few studies that compared practical MIMO VLC systems with theoretical studies. In this thesis, several practical implementations of the MIMO VLC system have been presented. First, a generalised space shift keying (GSSK) system, which is a simple form of spatial modulation (SM), has been presented. The performance of the field programmable gate array (FPGA) based real-time system has been studied against different transmitter (Tx) and receiver (Rx) numbers. The performance against mobility has also been evaluated. Up to 16 transmitters have been used and the result shows high spectral efficiency is achievable with the low complexity implementation of GSSK. Second, an investigation of an ultra-high speed wavelength division multiplexing (WDM) VLC system using inexpensive, low-complexity front-end components has been developed. We have used ordinary off-the-shelf red, green, blue and yellow (RGBY) LEDs in surface-mount technology (SMT). The result shows that a data rate of over 15 Gbits/s can be achieved by using proper optimising procedures on the inexpensive commercially available components. This study has confirmed the potential of high achievable capacities of VLC systems. Third, the first MIMO VLC system using organic photovoltaics (OPVs) has been implemented featuring simultaneous data communication and energy harvesting. Record data rates of 102 Mbits/s for a single pixel and 146 Mbits/s for a 2-by-2 MIMO set-up have been presented. The first system model for MIMO OPV VLC system has been proposed. The model has been validated with experimental results. The scalability of the system has also been discussed

TransTouch: Learning Transparent Objects Depth Sensing Through Sparse Touches

Transparent objects are common in daily life. However, depth sensing for transparent objects remains a challenging problem. While learning-based methods can leverage shape priors to improve the sensing quality, the labor-intensive data collection in the real world and the sim-to-real domain gap restrict these methods' scalability. In this paper, we propose a method to finetune a stereo network with sparse depth labels automatically collected using a probing system with tactile feedback. We present a novel utility function to evaluate the benefit of touches. By approximating and optimizing the utility function, we can optimize the probing locations given a fixed touching budget to better improve the network's performance on real objects. We further combine tactile depth supervision with a confidence-based regularization to prevent over-fitting during finetuning. To evaluate the effectiveness of our method, we construct a real-world dataset including both diffuse and transparent objects. Experimental results on this dataset show that our method can significantly improve real-world depth sensing accuracy, especially for transparent objects.Comment: Accepted to the 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS

Sequence Dependent Repair of 1,N6-Ethenoadenine by DNA Repair Enzymes ALKBH2, ALKBH3, and AlkB

Mutation patterns of DNA adducts, such as mutational spectra and signatures, are useful tools for diagnostic and prognostic purposes. Mutational spectra of carcinogens derive from three sources: adduct formation, replication bypass, and repair. Here, we consider the repair aspect of 1,N6-ethenoadenine (εA) by the 2-oxoglutarate/Fe(II)-dependent AlkB family enzymes. Specifically, we investigated εA repair across 16 possible sequence contexts (5′/3′ flanking base to εA varied as G/A/T/C). The results revealed that repair efficiency is altered according to sequence, enzyme, and strand context (ss- versus ds-DNA). The methods can be used to study other aspects of mutational spectra or other pathways of repair

ODACH: A One-shot Distributed Algorithm for Cox model with heterogeneous multi-center data

We developed a One-shot Distributed Algorithm for Cox proportional-hazards model to analyze Heterogeneous multi-center time-to-event data (ODACH) circumventing the need for sharing patient-level information across sites. This algorithm implements a surrogate likelihood function to approximate the Cox log-partial likelihood function that is stratified by site using patient-level data from a lead site and aggregated information from other sites, allowing the baseline hazard functions and the distribution of covariates to vary across sites. Simulation studies and application to a real-world opioid use disorder study showed that ODACH provides estimates close to the pooled estimator, which analyzes patient-level data directly from all sites via a stratified Cox model. Compared to the estimator from meta-analysis, the inverse variance-weighted average of the site-specific estimates, ODACH estimator demonstrates less susceptibility to bias, especially when the event is rare. ODACH is thus a valuable privacy-preserving and communication-efficient method for analyzing multi-center time-to-event data