Anqi Zhao

State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing

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Huayi Wu

Wuhan University

Jianyuan Liang

State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing

Ming Li

Children's Hospital of Fudan University

Chaolan Pan

Shanghai Jiao Tong University

Shuyang Hou

Shandong Normal University

Jiang Yi

South China Agricultural University

Langping Zhu

South China Agricultural University

Rong Ma

Nanjing Tech University

Zhangxiao Shen

State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing

Xiaozhi Zhang

South China Agricultural University

Cooperative Institutions

Chinese Academy of Sciences

Shanghai Jiao Tong University

Wuhan University

Peking University

Sun Yat-sen University

University of Chinese Academy of Sciences

Huazhong University of Science and Technology

Zhejiang University

Jilin University

XinHua Hospital

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The Initial Exploration of the Construction of Value System of Socialist Honor and Disgrace

Anqi Zhao

In the new period,socialist honor and disgrace have supplied theoretical guidance in constructing the value system,on the basis of which,this paper expounds the construction of socialist value system,including typical educational mechanism,cultural environmental mechanism,management and control mechanism and moral and practice mechanism.

Honor

Value (mathematics)

Value systems

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Regulation of Ethanol Production from Anaerobic Fermentation of Food Waste Using Aromatic Alcohol-Based Quorum-Sensing Molecules

Rong Ma Zhuoshen Huang Jiang Yi Anqi Zhao Guangwei Yu

Food Waste

10.2139/ssrn.4978576

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Geo-Fub: A Method for Constructing an Operator-Function Knowledge Base for Geospatial Code Generation Tasks Using Large Language Models

Shuyang Hou Anqi Zhao Jianyuan Liang Zhangxiao Shen Huayi Wu

Code (set theory)

Base (topology)

Operator (biology)

10.2139/ssrn.4951342

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Role of histone modifications in neurogenesis and neurodegenerative disease development

Ageing Research Reviews (2024)

Anqi Zhao Wenhong Xu Rui Han Junyuan Wei Yu Qi

10.1016/j.arr.2024.102324

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Next‐generation sequencing through multi‐gene panel testing for the diagnosis of a Chinese patient with atypical Cockayne syndrome

Molecular Genetics & Genomic Medicine (2023)

Xinyi Wang Yue Li Anqi Zhao Yumeng Wang Qiaoyu Cao

Cockayne syndrome (CS, OMIM #133540, #216400) is a rare autosomal recessive disease involving multiple systems, typically characterized by microcephaly, premature aging, growth retardation, neurosensory abnormalities, and photosensitivity. The age of onset is related to the severity of the clinical phenotype, which may lead to fatal outcomes.We report a 3-year-old girl who presented with photosensitivity, gait abnormalities, stunting, and microcephaly and showed atypical clinical classification due to mild clinical manifestations at an early onset age.Next-generation sequencing reveals the frameshift mutation (c.394_398del, p.Leu132Asnfs*6) and a novel microdeletion of ERCC8 (exon4del, p.Arg92fs).Therefore, it is still necessary to carry out next-generation sequencing for CS patients with atypical clinical manifestations, which is essential for diagnosis and accurate genetic counseling.

Microcephaly

Cockayne syndrome

Premature aging

10.1002/mgg3.2254

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Strong temperature influence and indiscernible ventilation effect on dynamics of some semivolatile organic compounds in the indoor air of an office

Environment International (2022)

Yatai Li Longkun He Di Xie Anqi Zhao Lixin Wang

Many manmade organic air pollutants are semivolatile and primarily used and exposed indoors. It remains unclear how indoor environmental parameters affect indoor air dynamics of semivolatile organic compounds (SVOCs) in real-world indoor conditions, which directly relates to human exposure. By making time-resolved SVOC measurements over multiple weeks in an office, we characterized the indoor air dynamics of six representative SVOCs which were mainly present in the gas phase and of indoor origins, and investigated the effects of the temperature and ventilation rate. The six species include di-isobutyl phthalate and di-n-butyl phthalate, as well as two n-alkanes and two siloxanes. Airborne concentrations of all six SVOCs responded strongly and quickly to changes in the indoor temperature. The temperature dependence of individual species can be well fitted in the form of the van't Hoff equation, and explained 65-86% of the observed variation in the logarithm-transformed concentrations. In contrast, increasing the ventilation rate by a factor of 3-5 for hours at a constant temperature had no discernible influence on the SVOC concentrations. Further kinetic modeling analysis suggests that the observed fast temperature response and indiscernible ventilation effect are both associated with SVOC sorption onto indoor surfaces, which dramatically slows the response of SVOC concentration to changes in the ventilation rate and speeds up the response to changes in the temperature. These results highlight the importance of sorption reservoirs on regulating indoor SVOC dynamics and also have important implications for controlling and assessing indoor air exposure to SVOCs.

Indoor air

10.1016/j.envint.2022.107305

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A Noise-Resilient SLAM for Perception-Degraded Scenes Leveraging on Lightweight Denoising Neural Networks

2022 IEEE International Conference on Real-time Computing and Robotics (RCAR) (2023)

Ziqian Huang Zhenghao Liao Xuhui Zhao Anqi Zhao Zhi Gao

Visual SLAM has been widely used in the field of robotics. However, images captured by camera sensors often contain various noises and seriously affect the autonomy of robots, especially in low-light environments. Consequently, numerous methods are proposed for image denoising and better performance in challenging environments. Nonetheless, many do not achieve a balance between efficiency and robustness, which severely limits the application of these methods on resource-limited platforms such as UAVs. To solve this dilemma, we propose a noise-resilient SLAM with a tailored image enhancement module, composing of a lightweight denoising neural network and a dynamic switching mechanism. First, we employ the lightweight denoising network based on NB-Net for successive frames. Then, we propose a simple yet efficient image noise evaluation method based on the Gaussian filter, achieving no-reference noise identification. It adaptively turns the neural network on and off according to different conditions, optimizing the system's performance. Finally, we integrate the proposed enhancement module into ORB-SLAM2 for practical tests. Extensive experiments on public datasets (EuRoC and TUM) and synthetic sequences demonstrate that the proposed method balances efficiency and accuracy fairly.

10.1109/rcar58764.2023.10249817

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To Increase Government Public Funding for the New Countryside Construction and Its Effectiveness

Journal of Linyi Normal University (2010)

Anqi Zhao

To construct the socialism new countryside is a great task in the process of modernization of China and a main part in constructing our harmonious society.To enhance the process,the government plays an overwhelming role,which urges to increase its public funding effectiveness and explore a new way to make overall plans and coordinately push the construction.Thus can we grasp its functional position fixing from the macroscopic view and relate closely to grass-roots practice from the microscopic view as well as to guide and push forward the grass-roots work practice.

Position (finance)

Harmonious Society

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Chromosome 8 Inversion Mutation in Congenital Generalized Hypertrichosis: Precise Breakpoints Localization

British Journal of Dermatology (2024)

Anqi Zhao Qiaoyu Cao Chaolan Pan Xiaoxiao Wang Yumeng Wang

We report a three-generation family with congenital generalized hypertrichosis (CGH), identifying an inversion variant on chromosome 8: inv(8)(q24.13q24.3) through comprehensive genetics analysis. Our report enriches the spectrum of CGH and its mutation profile.

Chromosomal inversion

Hypertrichosis

Breakpoint

10.1093/bjd/ljae383

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Mass Spectrometry Probe Combined with Machine Learning to Capture the Relationship between Metabolites and Mitochondrial Complex Activity at the Whole-Cell Level

Analytical Chemistry (2024)

Jia‐Yi Zheng Xiaoyuan Ji Anqi Zhao Fang-Yuan Sun Lifang Liu

Mitochondrial complex activity controls a multitude of physiological processes by regulating the cellular metabolism. Current methods for evaluating mitochondrial complex activity mainly focus on single metabolic reactions within mitochondria. These methods often require fresh samples in large quantities for mitochondria purification or intact mitochondrial membranes for real-time monitoring. Confronting these limitations, we shifted the analytical perspective toward interactive metabolic networks at the whole-cell level to reflect mitochondrial complex activity. To this end, we compiled a panel of mitochondrial respiratory chain-mapped metabolites (MRCMs), whose perturbations theoretically provide an overall reflection on mitochondrial complex activity. By introducing N-dimethyl-p-phenylenediamine and

10.1021/acs.analchem.4c04376

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