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| 1 | Epidemiological Characteristics of Plague in the Meriones unguiculatus Plague Focus--Inner Mongolia Autonomous Region,China,1950−2019显示文摘From 1950 to 2019,a total of 267 plague cases in humans were reported in the Inner Mongolia Autonomous Region with 133 deaths and 10,710 Yersinia pestis isolates;21 of these cases were reported from the Meriones unguiculatus(M.unguiculatus)plague focus with 6 deaths and 6,771 isolates.According to the plague situation in the Inner Mongolia Autonomous Region and the implementation of local preventive measures,the prevalence of plague in humans in the M.unguiculatus plague focus of the Inner Mongolia Autonomous Region could be divided into four stages.The first stage was the initial stage of plague prevention and control(1950–1959),with 0.80 cases annually and a case fatality rate of 37.50%.The second stage was the plague eradication stage(1960–1979),with 0.15 cases annually and a case fatality rate of 33.33%.The third stage was the plague surveillance stage(1980-1999),with 0.25 cases annually and a case fatality rate of 20.00%.The fourth stage is the comprehensive prevention and control stage under the emergency system(2000-2019),with 0.25 cases annually and a case fatality rate of 20.00%.The surveillance of rodent density(1981-2019)and studies on plague-related factors among M.unguiculatus have shown that the higher the M.unguiculatus density,the higher the nocturnal rodent capture rate(r=0.670,p<0.05)and the higher the indirect hemagglutination assay(IHA)positive rate of M.unguiculatus(r=0.344,p<0.05);the higher the percentage of hosts infected,the lower the M.unguiculatus density(r=-0.361,p<0.05)and the lower the IHA positive rate of M.unguiculatus(r=-0.337,p<0.05);the higher the percentage of nests infected with fleas,the lower the IHA positive rate of M.unguiculatus(r=-0.348,p<0.05).Together,these results suggest that it is necessary to simultaneously monitor the pathogens,serology,and vector index of M.unguiculatus to accurately reflect the plague prevalence among local animals.Although bubonic plague is the main plague type of the M.unguiculatus plague focus,severe pneumonic plague or septic plague may be secondary when the bubonic plague is misdiagnosed or not treated in time.In addition,the plague in animals is relatively virulent in the M.unguiculatus plague focus,and the risk of spreading to humans is higher.For plague in the Inner Mongolia Autonomous Region,comprehensive control efforts should be aimed at the M.unguiculatus focus,covering host animals,vector insects,and humans. | Boxi Liu Dayu Zhang Yuhuang Chen Zhaokai He Jun Liu Dongyue Lyu Weiwei Wu Ran Duan Shuai Qin Junrong Liang Huaiqi Jing Xin Wang | 2020 | China CDC weekly2020，2，49： | 3 |
| 2 | Consideration of the Local Correlation of Learning Behaviors to Predict Dropouts from MOOCs显示文摘Recently, Massive Open Online Courses(MOOCs) have become a major online learning methodology for millions of people worldwide. However, the dropout rates from several current MOOCs are high. Usually, dropout prediction aims to predict whether a learner will exhibit learning behaviors during several consecutive days in the future. Therefore, the information related to the learning behaviors of a learner in several consecutive days should be considered. After in-depth analysis of the learning behavior patterns of the MOOC learners, this study reports that learners often exhibit similar learning behaviors on several consecutive days, i.e., the learning status of a learner for the subsequent day is likely to be similar to that for the previous day. Based on this characteristic of MOOC learning,this study proposes a new simple feature matrix for keeping information related to the local correlation of learning behaviors and a new Convolutional Neural Network(CNN) model for predicting the dropout. Extensive experimental validations illustrate that the local correlation of learning behaviors should not be neglected. The proposed CNN model considers this characteristic and improves the dropout prediction accuracy. Furthermore, the proposed model can be used to predict dropout temporally and early when sufficient data are collected. | Yimin Wen Ye Tian Boxi Wen Qing Zhou Guoyong Cai Shaozhong Liu | 2020 | Tsinghua Science and Technology2020，25，3： | 2 |
| 3 | GST polymorphisms are associated with hepatocellular carcinoma risk in Chinese population显示文摘AIM: To investigate the association between GSTM1 and GSTT1 polymorphisms and the risk of hepatocellular carcinoma (HCC) in Chinese population. METHODS: Literature databases including PubMed, ISI web of science and other databases were searched.Pooled odds ratio (OR) and 95% CI were calculated using random- or fixed-effects model. Subgroup analysis and sensitivity analysis were also performed. RESULTS: Nineteen studies of GSTM1 (2660 cases and 4017 controls) and 16 studies of GSTT1 (2410 cases and 3669 controls) were included. The GSTM1/GSTT1 null genotypes were associated with increased risk of HCC in Chinese population (for GSTM1, OR = 1.487, 95% CI: 1.159 to 1.908, P = 0.002; for GSTT1, OR = 1.510, 95% CI: 1.236 to 1.845, P = 0.000). No publication bias was detected. In subgroup analysis, glutathione S-transferases polymorphisms were significantly associated with HCC risk among the subjects living in high-incidence areas, but not among the subjects living in low-incidence areas. CONCLUSION: The present meta-analysis suggests that GSTM1/GSTT1 null genotypes are associated with increased risk of HCC in Chinese population. | LeiYu Chun-YuWang BoXi LeiSun Ruo。Qiwang Yin—KunYan Li-YingZhu | 2011 | World Journal of Gastroenterology2011，17，27： | 2 |
| 4 | Cancer Ig G, a potential prognostic marker, promotes colorectal cancer progression显示文摘Objective: Currently, no satisfactory targets for colorectal cancer or markers for immunotherapy and diagnosis and prognosis are available. Immunoglobulin G(Ig G) is widely expressed in many cancers, and it promotes cancer progression. This study explored the role of cancer-derived Ig G(CIg G) in colorectal cancer.Methods: First, using a monoclonal antibody to CIg G, we examined the expression levels of CIg G in colorectal cancer cell lines by western blot and immunofluorescence analyses and in tissue specimens by immunohistochemistry. Second, the variable region gene was amplified by nested polymerase chain reaction(PCR), and PCR products were sequenced and analyzed. Third, we investigated the effect of CIg G on colorectal cancer cells by cell proliferation, wound healing, migration and invasion assays, and colony formation assay. Fourth, we performed in vivo tumorigenicity experiments to explore the effect of CIg G on tumorigenicity. Finally, we used RNA-seq analysis and co-immunoprecipitation experiments to further clarify possible mechanisms of CIg G.Results: We found that CIg G is widely expressed in colorectal cancer cells, and the overexpression of CIg G indicates significantly poor colorectal cancer prognosis. Furthermore, CIg G knockdown significantly inhibits the proliferation, migration and invasion ability of cells, and tumor growth in vivo. RNA-seq analysis indicated that CIg G knockdown results primarily in changes in expression of apical junction and epithelial-mesenchymal transition-related genes. CIg G may be involved in colorectal cancer invasion and metastasis through interacting with E-cadherin.Conclusions: CIg G is a potential human oncogene in colorectal cancer and that it has potential for application as a novel target in targeted therapy and a marker for prognostic evaluation. | Hongpeng Jiang Boxi Kang Xinmei Huang Yichao Yan Shan Wang Yingjiang Ye Zhanlong Shen | 2019 | Chinese Journal of Cancer Research2019，31，3： | 2 |
| 5 | 显示文摘 | Boxi Liu Roderic P Aleer M | 2012 | Maeromolecules2012，45，23： | 1 |
| 6 | Competitive Meta-Learning显示文摘Dear Editor,This letter is concerned with developing meta-learning models for fast,stable,and effective few-shot learning across tasks over a few training samples.Nowadays,deep and reinforcement learning(RL)is widely used in autonomous intelligent systems(e.g.,target recognition[1],path planning[2],and robot control[3],[4]). | Boxi Weng Jian Sun Gao Huang Fang Deng Gang Wang Jie Chen | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，9： | 1 |
| 7 | 微软研究院研究员对2016年的几项预测显示文摘跨学科的创新技术将应用到医疗保健上面——在医疗保健方面,创新性的跨学科技术将被应用到延长寿命、改善复杂疾病患者生活方面。云平台技术将会发挥改善病人生活的潜能。人工智能个人助理服务在中国获得显著应用——人工智能技术与人的结合有望扩大消息平台的普及,降低人工成本,提高商品服务的电子化。未来10年将实现原子与比特的融合,教育、购物、旅游。 | boxi | 2015 | 家庭服务2015，，12： | 0 |
| 8 | COORDINATED DEVELOPMENT FOR EAST,CENTRAL AND WEST CHINA显示文摘CHINA IS A COUNTRY WITH A LARGE POPULATION AND VAST TERRITORY.FOR NATURALREMAINS APPARENTLY DIFFERENT.COORDINATED DEVELOPMENT IN VARIOUS REGIONECONOMIC DEVELOPMENT IN A REGION BEING SUBSEQUENT TO THAT IN ANOTHER,U HISTORICAL AND SOCIAL REASONS,THE DEVELOPMENT LEVEL IN VARIOUS REGIONSNS DOES NOT MEAN SIMULTANEOUS DEVELOPMENT FOR DIFFERENT REGIONS,BUTNTIL COMMON WEALTH IS REALIZED AND POVERTY ELIMINATED. | Li Boxi,Research FellowResearch and Development Center of theState Council | 1996 | China's Foreign Trade1996，，4： | 0 |
| 9 | The Life Cycle of Knowledge in Big Language Models:A Survey显示文摘Knowledge plays a critical role in artificial intelligence.Recently,the extensive success of pre-trained language models(PLMs)has raised significant attention about how knowledge can be acquired,maintained,updated and used by language models.Despite the enormous amount of related studies,there is still a lack of a unified view of how knowledge circulates within language models throughout the learning,tuning,and application processes,which may prevent us from further understanding the connections between current progress or realizing existing limitations.In this survey,we revisit PLMs as knowledge-based systems by dividing the life circle of knowledge in PLMs into five critical periods,and investigating how knowledge circulates when it is built,maintained and used.To this end,we systematically review existing studies of each period of the knowledge life cycle,summarize the main challenges and current limitations,and discuss future directions. | Boxi Cao Hongyu Lin Xianpei Han Le Sun | 2024 | Machine Intelligence Research2024，21，2： | 0 |
| 10 | Enhancement of Near-Field Radiative Heat Transfer based on High-Entropy Alloys显示文摘The enhancement of near-field radiative heat transfer(NFRHT)has now become one of the research hotspots in the fieldsof thermal management and imaging due to its ability to improve the performance of near-field thermoelectric devices and near-field imaging systems.In this paper,we design three structures(multilayer structure,nanoporous structure,and nanorod structure)based on high-entropy alloys to realize the enhancement of NFRHT.By combining stochastic electrodynamicsand Maxwell-Garnett's description of the effective medium,we calculate the radiative heat transfer under different parametersand find that the nanoporousstructure has the largest enhancement effect on NFRHT.The near-field heat transfer factor(q)of this structure(q=1.40×10^(9)W/(m^(2)·K))is three times higher than that of the planestructure(q=4.6×10^(8)W/(m^(2)·K)),and about two orders of magnitude higher than that of the SiO2plate.Thisresult providesa freshidea for the enhancement of NFRHT and will promote the application of high-entropy alloy materials in near-field heat radiation. | Shanshan DENG Ping SONG Boxi ZHANG Sen YAO Zhixin JIN Defeng GUO | 2022 | Research and Application of Materials Science2022，4，2： | 0 |
| 11 | Hamilton Number Neural Network Model显示文摘HamiltonNumberNeuralNetworkModel￥CHENZhenxiang;SHUAIJianwei;LIURuitang;WUBoxi(XiamenUniversity,Xiamen361005,CHN)Abstract:Thes... | CHEN Zhenxiang SHUAI Jianwei LIU Ruitang WU Boxi(Xiamen University, Xiamen 361005,CHN) | 1996 | Semiconductor Photonics and Technology1996，2，1： | 0 |
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