Research on power electronic transformer applied in AC/DC hybrid distribution networks

The AC/DC hybrid distribution network is one of the trends in distribution network development, which poses great challenges to the traditional distribution transformer. In this paper, a new topology suitable for AC/DC hybrid distribution network is put forward according to the demands of power grid, with advantages of accepting DG and DC loads, while clearing DC fault by blocking the clamping double sub-module(CDSM) of input stage. Then, this paper shows the typical structure of AC/DC distribution network that is hand in hand. Based on the new topology, this paper designs the control and modulation strategies of each stage, where the outer loop controller of input stage is emphasized for its twocontrol mode. At last, the rationality of new topology and the validity of control strategies are verified by the steady and dynamic state simulation. At the same time, the simulation results highlight the role of PET in energy regulation.

Knobloch syndrome caused by homozygous frameshift mutation of the COL18A1 gene in a Chinese pedigree

AIM： To explore the clinical feature and genetic etiology of a Chinese Knobloch syndrome family. METHODS： Ocular examinations and magnetic resonance imagings （MRIs） were performed on the family. Whole exome sequencing was conducted on the two patients. Sanger sequencing was utilized to validate the presence of variation in the family as well as in 100 normal controls. Real-time uantitative polymerase chain reaction （PCR） was used to detect the expression level of COL18A1 in peripheral blood lymphocytes of the patients and normal carriers. RESULTS： The affected subjects presented with vision loss, exotropia, cataracts, retinal detachment, and other complications. A homozygous c.4759_4760delCT （p.Leu1587ValfsX72） mutation （rs398122391） in COL18A1 was identified in the two patients, cosegregating with the phenotypes, and did not be detected in 100 normal controls. This mutation caused significant decreased expression of COL18A1 mRNA in the patients. CONCLUSION： The findings strongly indicate that this mutation is the disease-causing mutation. Moreover, this is the first Knobloch syndrome pedigree reported in the Chinese population.

Blockchain-Based Decentralized Reputation Management System for Internet of Everything in 6G-Enabled Cybertwin Architecture

Internet of Everything(IoE)has emerged as a promising paradigm for the purpose of connecting and exchanging data among physical objects and humans over the Internet,and it can be widely applied in the fields of industry,transportation,commerce,and education.Recently,the emergence of 6G-enabled cybertwin network architecture provides the technical and theoretical foundation for the realization of IoE paradigm.However,the IoE has three open issues in the 6G-enabled cybertwin architecture,i.e.,data authenticity,data storage and node reliability.To address these issues,we propose a blockchain-based decentralized reputation management system(BC-DRMS)for IoE in 6G-enabled Cybertwin architecture.In the proposed BC-DRMS,the traffic data collected from end nodes is stored on the blockchain and the decentralized file system,i.e.,InterPlanetary File System(IPFS),to resist data tampering,and then the data is further processed by the edge clouds and core clouds to provide services to users.Also,a multi-level reputation evaluation scheme is designed to compute the reputation scores of IoE nodes to prevent malicious node attacks.The experiment results and analysis demonstrate that,compared to the traditional centralized reputation management systems(CRMS),the proposed BC-DRMS cannot only address the issues of data authenticity and storage,but also provides high reliability for IoE in 6G-enabled cybertwin architecture.

Clinical study on Hypotony following blunt ocular trauma

AIM: To evaluate the incidence and risk factors of hypotony in patients with blunt ocular trauma. METHODS: The medical records of 145 patients with blunt ocular trauma were reviewed. Hypotony was defined as an average intraocular pressure (IOP) of 5mmHg or less for three times. RESULTS: Among these 145 patients, hypotony was noted in 10 (6.9%) patients. The rate of hypotony in patients with ciliochoroidal detachment was 66.7% (2 out of 3 eyes), and 5.6% (8 out of 142 eyes) in patients without ciliochoroidal detachment,the difference was statistically significant (P=0.003). The rate of hypotony in patients with traumatic retinal detachment was 18.5% (5 out of 27 eyes), and 4.2% (5 out of 118 eyes) in patients without traumatic retinal detachment, the difference was statistically significant (P=0.026). The rate of hypotony in the patients with anterior proliferative vitreoretinopathy was 42.9% (3 out of 7 eyes) and 5.1% (7 out of 138 eyes) in the patients without anterior proliferative vitreoretinopathy, the difference was statistically significant(P=0.002). CONCLUSION: Ocular hypotension is a complication of blunt ocular trauma. The risk factors include ciliochoroidal detachment, traumatic retinal detachment, and anterior proliferative vitreoretinopathy.

Vehicle Matching Based on Similarity Metric Learning

With the development of new media technology,vehicle matching plays a further significant role in video surveillance systems.Recent methods explored the vehicle matching based on the feature extraction.Meanwhile,similarity metric learning also has achieved enormous progress in vehicle matching.But most of these methods are less effective in some realistic scenarios where vehicles usually be captured in different times.To address this cross-domain problem,we propose a cross-domain similarity metric learning method that utilizes theGANto generate vehicle imageswith another domain and propose the two-channel Siamese network to learn a similarity metric from both domains(i.e.,Day pattern or Night pattern)for vehicle matching.To exploit properties and relationships among vehicle datasets,we first apply the domain transformer to translate the domain of vehicle images,and then utilize the two-channel Siamese network to extract features from both domains for better feature similarity learning.Experimental results illustrate that our models achieve improvements over state-of-the-arts.

A review on the forward osmosis applications and fouling control strategies for wastewater treatment

During the last decades,the utilization of osmotic pressure-driven forward osmosis technology for wastewater treatment has drawn great interest,due to its high separation efficiency,low membrane fouling propensity,high water recovery and relatively low energy consumption.This review paper summarizes the implementation of forward osmosis technology for various wastewater treatment including municipal sewage,landfill leachate,oil/gas exploitation wastewater,textile wastewater,mine wastewater,and radioactive wastewater.However,membrane fouling is still a critical issue,which affects water flux stability,membrane life and operating cost.Different membrane fouling types and corresponding fouling mechanisms,including organic fouling,inorganic fouling,biofouling and combined fouling are therefore further discussed.The fouling control strategies including feed pre-treatment,operation condition optimization,membrane selection and modification,membrane cleaning and tailoring the chemistry of draw solution are also reviewed comprehensively.At the end of paper,some recommendations are proposed.