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  1. Conference proceedings ; Online: The Earth 2.0 space mission

    Ge, J.

    XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)

    2023  

    Abstract: The “Earth 2.0 (ET)” mission in China is to address a few of fundamental questions in the exoplanet field: How frequently habitable Earth-like planets orbit solar type stars (Earth 2.0s)? How do terrestrial planets form and evolve? Where did floating ... ...

    Abstract The “Earth 2.0 (ET)” mission in China is to address a few of fundamental questions in the exoplanet field: How frequently habitable Earth-like planets orbit solar type stars (Earth 2.0s)? How do terrestrial planets form and evolve? Where did floating planets come from? ET consists of six 30 cm diameter transit telescope systems with each field of view of 500 square degrees and one 35 cm diameter microlensing telescope with a field of view of 4 square degrees. The ET transit mode will monitor ~1.2M FGKM dwarfs in the original Kepler field and its neighboring fields continuously for four years while the microlensing mode monitors over 30M I< 20.5 stars in the Galactic bulge direction. ET will merge its photometry data with that from Kepler to increase the time baseline to 8 years. This enhances the transit signal-to-noise ratio, reduce false positives, and greatly increases the chance to discover Earth 2.0s. Simulations show that ET transit telescopes will be able to identify ~17 Earth 2.0s, about 5000 Earth-sized terrestrial planets and over 30,000 new planets. The ET microlensing telescope will be able to identify over 1000 microlensing planets. With simultaneous observations with the ground-based KMTNet telescopes, ET will be able to measure masses of over 300 microlensing planets and determine the mass distribution functions of free-floating planets and cold planets. ET will be operated at the Earth-Sun L2 orbit with a designed lifetime longer than 4 years. The mission status will be reported.
    Subject code 520
    Language English
    Publishing country de
    Document type Conference proceedings ; Online
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  2. Article ; Online: The COVID-19 pandemic in China: from dynamic zero-COVID to current policy.

    Ge, Junbo

    Herz

    2023  Volume 48, Issue 3, Page(s) 226–228

    Abstract: On 8 January 2023, after 3 years of pandemic control, China changed its management of COVID-19, applying measures against class B infectious diseases instead of Class A infectious diseases. This signaled the end of the dynamic zero-COVID policy and the ... ...

    Title translation COVID-19-Pandemie in China: von der dynamischen Null-COVID- zur heutigen Politik.
    Abstract On 8 January 2023, after 3 years of pandemic control, China changed its management of COVID-19, applying measures against class B infectious diseases instead of Class A infectious diseases. This signaled the end of the dynamic zero-COVID policy and the reopening of the country. With a population of 1.41 billion, China's reopening policy during the COVID-19 pandemic has been characterized by a scientific, gradual, and cautious approach. Several factors contributed to the reopening policy, including an expansion of healthcare capacity, the widespread promotion and uptake of vaccination, and improved prevention and control mechanisms. According to the latest report from the Chinese Center for Disease Control and Prevention, the number of hospitalized COVID-19 patients in the country reached a peak of 1.625 million on January 5, 2023, and has since continued to decline. As of February 13, the number decreased to 26,000: a reduction of 98.4%. Thanks to the efforts of healthcare workers and society as a whole, the country managed to get through the peak of the epidemic in a stable manner.
    MeSH term(s) Humans ; COVID-19/epidemiology ; Pandemics/prevention & control ; China/epidemiology ; Policy
    Language English
    Publishing date 2023-06-09
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 8262-4
    ISSN 1615-6692 ; 0340-9937 ; 0946-1299
    ISSN (online) 1615-6692
    ISSN 0340-9937 ; 0946-1299
    DOI 10.1007/s00059-023-05183-5
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  3. Article ; Online: Multiple Influences of Intelligent Technology on Network Behavior of College Students in the Metaverse Age.

    Ge, Jiajia

    publication RETRACTED

    Journal of environmental and public health

    2022  Volume 2022, Page(s) 2750712

    Abstract: The advent of the metaverse age has gradually transformed digital survival from a fantasy in science fiction to a reality. Especially in recent years, the college students, as the objects of ideological and political education in universities, have been ... ...

    Abstract The advent of the metaverse age has gradually transformed digital survival from a fantasy in science fiction to a reality. Especially in recent years, the college students, as the objects of ideological and political education in universities, have been deeply embedded in their learning, social interaction, entertainment, and consumption behaviors, presenting new characteristics of the times. From the aspects of the background of intelligent technology on College Students' network behavior, the types of College Students' network behavior, the multiple effects of intelligent technology, the nature of College Students' network behavior, etc., provide some basis for ideological and political education.
    MeSH term(s) Humans ; Students ; Technology ; Universities
    Language English
    Publishing date 2022-06-16
    Publishing country United States
    Document type Journal Article ; Retracted Publication
    ZDB-ID 2526611-1
    ISSN 1687-9813 ; 1687-9813
    ISSN (online) 1687-9813
    ISSN 1687-9813
    DOI 10.1155/2022/2750712
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  4. Article: [Practice and development of schistosomiasis control culture in China: A case of Jiangxi Province].

    Wu, C / Ge, J / Lin, D

    Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control

    2024  Volume 35, Issue 6, Page(s) 641–645

    Abstract: Schistosomiasis control is not only a disease control programme, but also a great social practice activity in China. During the evolution of national schistosomiasis control programmes, the special schistosomiasis control culture has been cultivated and ... ...

    Abstract Schistosomiasis control is not only a disease control programme, but also a great social practice activity in China. During the evolution of national schistosomiasis control programmes, the special schistosomiasis control culture has been cultivated and developed, which contains the spiritual connotation of government-led, people-oriented, respect for science and integration of all efforts. The publication of Chairman Mao Zedong's two poems entitled "Farewell to the God of Plague" and the post-script in 1958 was a sign for the formation and development of Chinese schistosomiasis control culture, which always lead the orientation of development and practice of schistosomiasis control culture building. The schistosomiasis control culture provides powerful spiritual motivation and supports to schistosomiasis control programmes in China, and improving the building of schistosomiasis control culture is of great significance to strengthen our belief in achieving the goal of schistosomiasis elimination, mobilize all social resources, accelerate the progress towards elimination of schistosomiasis and facilitate the high-quality development of healthcare services. Chinese schistosomiasis control spirit is the refinement from the cultural connotation of the long-term schistosomiasis control programmes in China, and is the most essential and concentrated embodiment of the schistosomiasis control culture. This article describes the great significance of two poems entitled "Farewell to the God of Plague", summarizes the connotation and role of schistosomiasis control spirit, and introduces the practice, development and innovation of schistosomiasis control culture building in Jiangxi Province.
    MeSH term(s) Humans ; Plague ; Schistosomiasis/prevention & control ; China/epidemiology
    Language Chinese
    Publishing date 2024-02-27
    Publishing country China
    Document type Case Reports ; English Abstract ; Journal Article
    ISSN 1005-6661
    ISSN 1005-6661
    DOI 10.16250/j.32.1374.2023165
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  5. Book ; Online: Traffic Sign Recognition Dataset and Data Augmentation

    Ge, Jingzhan

    2023  

    Abstract: Although there are many datasets for traffic sign classification, there are few datasets collected for traffic sign recognition and few of them obtain enough instances especially for training a model with the deep learning method. The deep learning ... ...

    Abstract Although there are many datasets for traffic sign classification, there are few datasets collected for traffic sign recognition and few of them obtain enough instances especially for training a model with the deep learning method. The deep learning method is almost the only way to train a model for real-world usage that covers various highly similar classes compared with the traditional way such as through color, shape, etc. Also, for some certain sign classes, their sign meanings were destined to can't get enough instances in the dataset. To solve this problem, we purpose a unique data augmentation method for the traffic sign recognition dataset that takes advantage of the standard of the traffic sign. We called it TSR dataset augmentation. We based on the benchmark Tsinghua-Tencent 100K (TT100K) dataset to verify the unique data augmentation method. we performed the method on four main iteration version datasets based on the TT100K dataset and the experimental results showed our method is efficacious. The iteration version datasets based on TT100K, data augmentation method source code and the training results introduced in this paper are publicly available.

    Comment: 14pages, 11 figures
    Keywords Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Machine Learning ; I.4
    Subject code 006
    Publishing date 2023-03-31
    Publishing country us
    Document type Book ; Online
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  6. Article ; Online: RNF5: inhibiting antiviral immunity and shaping virus life cycle.

    Ge, Junyi / Zhang, Leiliang

    Frontiers in immunology

    2024  Volume 14, Page(s) 1324516

    Abstract: RNF5 is an E3 ubiquitin ligase involved in various physiological processes such as protein localization and cancer progression. Recent studies have shown that RNF5 significantly inhibits antiviral innate immunity by promoting the ubiquitination and ... ...

    Abstract RNF5 is an E3 ubiquitin ligase involved in various physiological processes such as protein localization and cancer progression. Recent studies have shown that RNF5 significantly inhibits antiviral innate immunity by promoting the ubiquitination and degradation of STING and MAVS, which are essential adaptor proteins, as well as their downstream signal IRF3. The abundance of RNF5 is delicately regulated by both host factors and viruses. Host factors have been found to restrict RNF5-mediated ubiquitination, maintaining the stability of STING or MAVS through distinct mechanisms. Meanwhile, viruses have developed ingenious strategies to hijack RNF5 to ubiquitinate and degrade immune proteins. Moreover, recent studies have revealed the multifaceted roles of RNF5 in the life cycle of various viruses, including SARS-CoV-2 and KSHV. Based on these emerging discoveries, RNF5 represents a novel means of modulating antiviral immunity. In this review, we summarize the latest research on the roles of RNF5 in antiviral immunity and virus life cycle. This comprehensive understanding could offer valuable insights into exploring potential therapeutic applications focused on targeting RNF5 during viral infections.
    MeSH term(s) Adaptor Proteins, Signal Transducing ; Immunity, Innate ; Protein Transport ; Virus Diseases/immunology ; Ubiquitin-Protein Ligases/immunology
    Chemical Substances Adaptor Proteins, Signal Transducing ; Ubiquitin-Protein Ligases (EC 2.3.2.27)
    Language English
    Publishing date 2024-01-05
    Publishing country Switzerland
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 2606827-8
    ISSN 1664-3224 ; 1664-3224
    ISSN (online) 1664-3224
    ISSN 1664-3224
    DOI 10.3389/fimmu.2023.1324516
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  7. Book ; Online: White-box Inference Attacks against Centralized Machine Learning and Federated Learning

    Ge, Jingyi

    2022  

    Abstract: With the development of information science and technology, various industries have generated massive amounts of data, and machine learning is widely used in the analysis of big data. However, if the privacy of machine learning applications' customers ... ...

    Abstract With the development of information science and technology, various industries have generated massive amounts of data, and machine learning is widely used in the analysis of big data. However, if the privacy of machine learning applications' customers cannot be guaranteed, it will cause security threats and losses to users' personal privacy information and service providers. Therefore, the issue of privacy protection of machine learning has received wide attention. For centralized machine learning models, we evaluate the impact of different neural network layers, gradient, gradient norm, and fine-tuned models on member inference attack performance with prior knowledge; For the federated learning model, we discuss the location of the attacker in the target model and its attack mode. The results show that the centralized machine learning model shows more serious member information leakage in all aspects, and the accuracy of the attacker in the central parameter server is significantly higher than the local Inference attacks as participants.

    Comment: 17 papers, 3 figures, 6 tables
    Keywords Computer Science - Cryptography and Security ; Computer Science - Machine Learning
    Subject code 006
    Publishing date 2022-12-15
    Publishing country us
    Document type Book ; Online
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  8. Article ; Online: Extracorporeal membrane oxygenation in the treatment of respiratory failure during COVID‑19.

    Ge, Junbo

    Herz

    2020  Volume 45, Issue 4, Page(s) 332–333

    Title translation Extrakorporale Membranoxygenierung bei der Behandlung von Atemversagen während COVID-19.
    MeSH term(s) Betacoronavirus ; COVID-19 ; Coronavirus Infections/complications ; Extracorporeal Membrane Oxygenation ; Humans ; Pandemics ; Pneumonia, Viral/complications ; Respiratory Insufficiency/therapy ; Respiratory Insufficiency/virology ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-04-30
    Publishing country Germany
    Document type Letter
    ZDB-ID 8262-4
    ISSN 1615-6692 ; 0340-9937 ; 0946-1299
    ISSN (online) 1615-6692
    ISSN 0340-9937 ; 0946-1299
    DOI 10.1007/s00059-020-04927-x
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  9. Article ; Online: Coding proposal on phenotyping heart failure with preserved ejection fraction: A practical tool for facilitating etiology-oriented therapy.

    Ge, Junbo

    Cardiology journal

    2020  Volume 27, Issue 1, Page(s) 97–98

    MeSH term(s) Clinical Decision-Making ; Decision Support Techniques ; Heart Failure/classification ; Heart Failure/diagnosis ; Heart Failure/physiopathology ; Heart Failure/therapy ; Humans ; Phenotype ; Predictive Value of Tests ; Prognosis ; Stroke Volume ; Terminology as Topic ; Ventricular Function, Left
    Language English
    Publishing date 2020-02-26
    Publishing country Poland
    Document type Letter
    ZDB-ID 2488680-4
    ISSN 1898-018X ; 1897-5593
    ISSN (online) 1898-018X
    ISSN 1897-5593
    DOI 10.5603/CJ.2020.0023
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  10. Article ; Online: Initial resolution of the COVID-19 pandemic in China-can the virus return?

    Ge, Junbo

    Herz

    2020  Volume 45, Issue 4, Page(s) 334

    Title translation Beginn der Lösung der COVID-19-Pandemie in China – Kann das Virus zurückkehren?
    MeSH term(s) Betacoronavirus ; COVID-19 ; China/epidemiology ; Coronavirus Infections/epidemiology ; Humans ; Pandemics ; Pneumonia, Viral/epidemiology ; Recurrence ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-04-30
    Publishing country Germany
    Document type Letter
    ZDB-ID 8262-4
    ISSN 1615-6692 ; 0340-9937 ; 0946-1299
    ISSN (online) 1615-6692
    ISSN 0340-9937 ; 0946-1299
    DOI 10.1007/s00059-020-04926-y
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