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| 1 | Causes of death after hip fracture in senile patients显示文摘 | MARen-shi ZHANGYu HUANGXu ZHUDong GUGui-shan YANGGuo—tao LIMing SONGAi-hua YOUYang | 2012 | Chinese Journal of Traumatology2012，15，1： | 10 |
| 2 | Retromer localizes to autophagosomes during HCV replication显示文摘Dear Editor,Hepatitis C virus(HCV)is a positive-strand RNA virus that belongs to the genus Hepacivirus within the Flaviviridae family.HCV causes chronic liver diseases,and185 million people are infected(Messina et al.,2015).Currently,there is no approved vaccine to prevent hepatitis C.HCV induces autophagy through elevating reactive oxygen species(ROS)levels via the | Peiqi Yin Zhi Hong Leiliang Zhang Youyang Ke | 2017 | Virologica Sinica2017，32，3： | 1 |
| 3 | Generative adversarial networks enhanced location privacy in 5G networks显示文摘5G networks,as the up-to-date communication platforms,are experiencing fast booming.Meanwhile,increasing volumes of sensitive data,especially location information,are being generated and shared using 5G networks for various purposes ceaselessly.Location and trajectory information in the published data has always been and will keep courting risks and attacks by malicious adversaries.Therefore,there are still privacy leakage threats by simply sharing the original data,especially data with location information,due to the short cover range of 5G signal tower.To better address these issues,we proposed a generative adversarial networks(GAN)enhanced location privacy protection model to cloak the location and even trajectory information.We use posterior sampling to generate a subset of data,which is proved complying with differential privacy requirements from the end device side.After that,a data augmentation algorithm modified from classic GAN is devised to generate a series of privacy-preserving full-sized synthetic data from the central server side.With the synthetic data generated from a real-world dataset,we demonstrate the superiority of the proposed model in terms of location privacy protection,data utility,and prediction accuracy. | Youyang QU Jingwen ZHANG Ruidong LI Xiaoning ZHANG Xuemeng ZHAI Shui YU | 2020 | Science China(Information Sciences)2020，63，12： | 1 |
| 4 | Oxidation states of Mn atoms at clean and Al2O3-covered LiMn2O4 surfaces 显示文摘 | YOUYANG C ZENG X M SLJIVANCANIN Z | 2010 | Phys Chem C2010，114，： | 1 |
| 5 | 固体火箭发动机多分力试验技术研究显示文摘This paper presents a calculation method, and composition of a five-component force test device, to resolve the requirement for solid rocket motor multi-component force test. It compares the difference between two classical algorithms, and summarizes the structure and practical usage of the solid rocket motor multi-component force using soft connection structure measurement. The decoupling method of test data is described, and a reasonable research method for solid rocket motor multi-component force is also given in this paper. | ZHU Ziwen QU Youyang HAN Chenglin | 2021 | Aerospace China2021，22，4： | 0 |
| 6 | Improving Data Utility Through Game Theory in Personalized Differential Privacy显示文摘Due to dramatically increasing information published in social networks,privacy issues have given rise to public concerns.Although the presence of differential privacy provides privacy protection with theoretical foundations,the trade-off between privacy and data utility still demands further improvement.However,most existing studies do not consider the quantitative impact of the adversary when measuring data utility.In this paper,we firstly propose a personalized differential privacy method based on social distance.Then,we analyze the maximum data utility when users and adversaries are blind to the strategy sets of each other.We formalize all the payoff functions in the differential privacy sense,which is followed by the establishment of a static Bayesian game.The trade-off is calculated by deriving the Bayesian Nash equilibrium with a modified reinforcement learning algorithm.The proposed method achieves fast convergence by reducing the cardinality from n to 2.In addition,the in-place trade-off can maximize the user's data utility if the action sets of the user and the adversary are public while the strategy sets are unrevealed.Our extensive experiments on the real-world dataset prove the proposed model is effective and feasible. | Lei Cui Youyang Qu Mohammad Reza Nosouhi Shui Yu Jian-Wei Niu Gang Xie | 2019 | Journal of Computer Science & Technology2019，34，2： | 0 |
| 7 | Investigating the Immunogenic Cell Death‑Dependent Subtypes and Prognostic Signature of Triple‑Negative Breast Cancer显示文摘Recently,immunotherapy has emerged as a promising and efective method for treating triple-negative breast cancer(TNBC).However,challenges still persist.Immunogenic cell death(ICD)is considered a prospective treatment and potential combinational treatment strategy as it induces an anti-tumor immune response by presenting the antigenic epitopes of dead cells.Nevertheless,the ICD process in TNBC and its impact on disease progression and the response to immunotherapy are not well understood.In this study,we observed dysregulation of the ICD process and verifed the altered expression of prognostic ICD genes in TNBC through quantitative real-time polymerase chain reaction(qRT-PCR)analysis.To investigate the potential role of the ICD process in TNBC progression,we determined the ICD-dependent subtypes,and two were identifed.Analysis of their distinct tumor immune microenvironment(TIME)and cancer hallmark features revealed that Cluster 1 and 2 corresponded to the immune“cold”and“hot”phenotypes,respectively.In addition,we constructed the prognostic signature ICD score of TNBC patients and demonstrated its clinical independence and generalizability.The ICD score could also serve as a potential biomarker for immune checkpoint blockade and may aid in the identifcation of targeted efective agents for individualized clinical strategies. | Youyang Shi Yuanyuan Wu Feifei Li Kexin Jiang Xiaofang Fang Yu Wang Xiaoyun Song Rui Wang Lixin Chen Jinzhou Zheng Chunyu Wu Yuenong Qin Xiaofei Liu Sheng Liu | 2024 | Phenomics2024，4，1： | 0 |
| 8 | Influence of an indefinite causal order on an Otto heat engine显示文摘The quantum effect plays an important role in quantum thermodynamics,and recently the application of an indefinite causal order to quantum thermodynamics has attracted much attention.Based on two trapped ions,we propose a scheme to add an indefinite causal order to the isochoric cooling stroke of an Otto engine through reservoir engineering.Then,we observe that the quasi-static efficiency of this heat engine is far beyond the efficiency of a normal Otto heat engine and may reach one.When the power is its maximum,the efficiency is also much higher than that of a normal Otto heat engine.This enhancement may originate from the nonequilibrium of the reservoir and the measurement on the control qubit. | Jifei Zhao Youyang Xu | 2022 | Communications in Theoretical Physics2022，74，2： | 0 |
| 9 | Evolutionary privacy-preserving learning strategies for edge-based IoT data sharing schemes显示文摘The fast proliferation of edge devices for the Internet of Things(IoT)has led to massive volumes of data explosion.The generated data is collected and shared using edge-based IoT structures at a considerably high frequency.Thus,the data-sharing privacy exposure issue is increasingly intimidating when IoT devices make malicious requests for filching sensitive information from a cloud storage system through edge nodes.To address the identified issue,we present evolutionary privacy preservation learning strategies for an edge computing-based IoT data sharing scheme.In particular,we introduce evolutionary game theory and construct a payoff matrix to symbolize intercommunication between IoT devices and edge nodes,where IoT devices and edge nodes are two parties of the game.IoT devices may make malicious requests to achieve their goals of stealing privacy.Accordingly,edge nodes should deny malicious IoT device requests to prevent IoT data from being disclosed.They dynamically adjust their own strategies according to the opponent's strategy and finally maximize the payoffs.Built upon a developed application framework to illustrate the concrete data sharing architecture,a novel algorithm is proposed that can derive the optimal evolutionary learning strategy.Furthermore,we numerically simulate evolutionarily stable strategies,and the final results experimentally verify the correctness of the IoT data sharing privacy preservation scheme.Therefore,the proposed model can effectively defeat malicious invasion and protect sensitive information from leaking when IoT data is shared. | Yizhou Shen Shigen Shen Qi Li Haiping Zhou Zongda Wu Youyang Qu | 2023 | Digital Communications and Networks2023，9，4： | 0 |
| 10 | Lumbar spine localisation method based on feature fusion显示文摘To eliminate unnecessary background information,such as soft tissues in original CT images and the adverse impact of the similarity of adjacent spines on lumbar image segmentation and surgical path planning,a two‐stage approach for localising lumbar segments is proposed.First,based on the multi‐scale feature fusion technology,a non‐linear regression method is used to achieve accurate localisation of the overall spatial region of the lumbar spine,effectively eliminating useless background information,such as soft tissues.In the second stage,we directly realised the precise positioning of each segment in the lumbar spine space region based on the non‐linear regression method,thus effectively eliminating the interference caused by the adjacent spine.The 3D Intersection over Union(3D_IOU)is used as the main evaluation indicator for the positioning accuracy.On an open dataset,3D_IOU values of 0.8339�0.0990 and 0.8559�0.0332 in the first and second stages,respectively is achieved.In addition,the average time required for the proposed method in the two stages is 0.3274 and 0.2105 s respectively.Therefore,the proposed method performs very well in terms of both pre-cision and speed and can effectively improve the accuracy of lumbar image segmentation and the effect of surgical path planning. | Yonghong Zhang Ning Hu Zhuofu Li Xuquan Ji Shanshan Liu Youyang Sha Xiongkang Song Jian Zhang Lei Hu Weishi Li | 2023 | CAAI Transactions on Intelligence Technology2023，8，3： | 0 |
| 11 | Towards Privacy-Aware and Trustworthy Data Sharing Using Blockchain for Edge Intelligence显示文摘The popularization of intelligent healthcare devices and big data analytics significantly boosts the development of Smart Healthcare Networks(SHNs).To enhance the precision of diagnosis,different participants in SHNs share health data that contain sensitive information.Therefore,the data exchange process raises privacy concerns,especially when the integration of health data from multiple sources(linkage attack)results in further leakage.Linkage attack is a type of dominant attack in the privacy domain,which can leverage various data sources for private data mining.Furthermore,adversaries launch poisoning attacks to falsify the health data,which leads to misdiagnosing or even physical damage.To protect private health data,we propose a personalized differential privacy model based on the trust levels among users.The trust is evaluated by a defined community density,while the corresponding privacy protection level is mapped to controllable randomized noise constrained by differential privacy.To avoid linkage attacks in personalized differential privacy,we design a noise correlation decoupling mechanism using a Markov stochastic process.In addition,we build the community model on a blockchain,which can mitigate the risk of poisoning attacks during differentially private data transmission over SHNs.Extensive experiments and analysis on real-world datasets have testified the proposed model,and achieved better performance compared with existing research from perspectives of privacy protection and effectiveness. | Youyang Qu Lichuan Ma Wenjie Ye Xuemeng Zhai Shui Yu Yunfeng Li David Smith | 2023 | Big Data Mining and Analytics2023，6，4： | 0 |
| 12 | Interplay between hepatitis C virus and ARF4显示文摘Dear Editor,Hepatitis C virus(HCV)is a major cause of chronic liver diseases and hepatocellular carcinoma(HCC)with about71 million people globally infected.HCV encodes only10 viral proteins and its replication relies on host proteins.Many host factors including ADP-ribosylation | Na Zhang Youyang Ke Leiliang Zhang | 2017 | Virologica Sinica2017，32，6： | 0 |
| 13 | Cancer-related psychosocial challenges显示文摘Over the past decade,cancer incidence has increased globally while its mortality has decreased.Accordingly,healthcare practitioners aim to provide comprehensive care to cancer patients.The biopsychosocial model suggests medical professionals'understanding of how psychosocial factors influence the entire course of cancer is critical.However,until now,an integrative review summarising the full scope of these psychosocial domains has been lacking.This review substantiates that cancer patients,survivors,their caregivers,and oncology professionals face substantial psychosocial challenges.Cancer patients and survivors may experience deterioration of self-concept,disturbance of body image,sexual problems and difficulties in social relationships while attempting to cope with casual issues.The burdens of care provision and the impact on the health of caregivers of cancer patients are also noteworthy.Improving the quality of patient-doctor communication and overcoming burnout are significant challenges for oncology healthcare professionals. | Youyang Wang Wei Feng | 2022 | General Psychiatry2022，35，5： | 0 |
| 14 | “Closing the chasm”-guidelines bridge the gap from evidence to implementation显示文摘Since the beginning of the Coronavirus Disease 2019(COVID-19)pandemic,over 9000 articles related to COVID-19 have been released in print by the end of December 2020.1 A majority of these articles were commentaries,several hundred were observational studies,55 were systematic reviews,and 4 were randomized controlled trials.The American College of Rheumatology has published updated clinical guidance for the management of multisystem inflammatory syndrome in children associated with SARS-CoV-2,the most recent version in April 2021.2,3 Additionally,practice guidelines for pediatric specialties in the setting of COVID-19 have also been published,including pulmonology,anesthesiology,infectious disease,orthopedics,and anticoagulation.4-8 The rapid development and dissemination of these guidelines during the pandemic has been unprecedented.Many of these guidelines are based primarily on consensus statements rather than randomized control trials,which have been the gold standard of evidence-based medicine.In this commentary,we discuss the role of practice guidelines from credible sources that are based on incrementally emerging evidence to guide bedside practice,until they can be updated with more robust data from meta-analyses of randomized trials. | Youyang Yang Nilesh M.Mehta | 2021 | Pediatric Investigation2021，5，3： | 0 |
| 15 | Divide and conquer: Machine learning accelerated design of lead-free solder alloys with high strength and high ductility显示文摘The attainment of both high strength and high ductility is always the goal for structure materials,because the two properties generally are mutually competing,called strength-ductility trade-off.Nowadays,the data-driven paradigm combined with expert domain knowledge provides the state-of-the-art methodology to design and discovery for structure materials with high strength and high ductility.To enhance both strength and ductility,a joint feature is proposed here to be the product of strength multiplying ductility.The strategy of“divide and conquer”is developed to solve the contradictory problem,that material experimental data of mechanical behaviors are,in general,small in size and big in noise,while the design space is huge,by a newly developed data preprocessing algorithm,named the Tree-Classifier for Gaussian Process Regression(TCGPR).The TCGPR effectively divides an original dataset in a huge design space into three appropriate sub-domains and then three Machine Learning(ML)models conquer the three sub-domains,achieving significantly improved prediction accuracy and generality.After that the Bayesian sampling is applied to design next experiments by balancing exploitation and exploration.Finally,the experiment results confirm the ML predictions,exhibiting novel lead-free solder alloys with high strength high ductility.Various material characterizations were also conducted to explore the mechanism of high strength and high ductility of the alloys. | Qinghua Wei Bin Cao Hao Yuan Youyang Chen Kangdong You Shuting Yu Tixin Yang Ziqiang Dong Tong-Yi Zhang | 2023 | npj Computational Materials2023，，1： | 0 |
| 16 | New Discovery on Supercritical CO2-H2O Treated Coal: Pore Structure and Methane Adsorption显示文摘Objective Nowadays,the governments and worldwide energy and environmental scientists have been focusing on CO_2enhanced coalbed methane recovery(CO_2-ECBM)to reduce greenhouse gas emissions and to increment coalbed methane production.Previous researches have confirmed that CO_2 can react with minerals in coal seams to transform the permeability of coal.However,few | CHEN Run WANG Youyang QIN Yong WANG Linlin WEI Chongtao ZHANG Pengfei | 2017 | Acta Geologica Sinica(English Edition)2017，91，4： | 0 |
| 17 | A cloud of laser cooled ^(40)Ca^+ in a linear ion trap显示文摘A cloud of 40Ca+is successfully trapped and cooled using the radiation of a red-detuned 397 nm laser beam and a resonant 866 nm laser beam in our prototype linear ion trap,which was designed and constructed for studying quantum information processing.We have characterized the size of the ion cloud,estimating the temperature to be in the order of milli-Kelvins. | ZHOU Fei XU YouYang XIE Yi GUO Bin SHU HuaLin LI JiaoMei HUANG XueRen FENG Mang | 2010 | Chinese Science Bulletin2010，55，27： | 0 |
| 18 | Xianling Lianxia formula enhances the inhibitory effects of trastuzumab on HER2-positive breast cancer显示文摘Human epidermal growth factor receptor 2(HER2)-positive breast cancer(BC)is characterized by high invasiveness.Trastuzumab considerably improves the prognoses of HER2-positive BC,but some patients exhibit drug resistance.In this study,the effects of XLLXF combined with trastuzumab on the proliferation,apoptosis,invasion,and migration of HER2-positive BC cells are evaluated,and network pharmacology is performed.Then,we conduct an in vivo study using a xenograft mouse model of HER2-positive BC,and tumor growth is monitored.The expression levels of cytokines are measured by ELISA.Molecular docking is performed to observe the binding stability of IL2,JAK,STAT,and TNF with curcumenol,icariside-II,lobetyolin,and scutellarein.Finally,we observe changes in JAK1 and TNF-αin tumor tissues by immunohistochemistry.The results show that XLLXF enhances the inhibitory effects of trastuzumab on the proliferation,colony formation ability,migration,and invasion of HER2-positive BC cells and promotes apoptosis.Network pharmacology reveals that XLLXF may exert its effects on HER2-positive BC by modulating pathways such as the ErbB,JAK-STAT,and NF-κB pathways.Potential targets include cytokines closely related to immune function.In the in vivo study,XLLXF synergistically enhances the inhibitory effects of trastuzumab on tumor growth.ELISA reveals that XLLXF combined with trastuzumab increases the levels of IL-15,IL-2,TNF-α,and IFN-γin tumor-bearing mice.Immunohistochemistry confirms that XLLXF can regulate the expressions of JAK1 and TNF-α.This study demonstrates that XLLXF can synergistically enhance the efficacy of trastuzumab in targeting HER2-positive BC.The mechanism may involve the modulation of inflammatory factors. | Feifei Li Yuanyuan Wu Youyang Shi Xiaofei Liu Ying Xie Sheng Liu | 2024 | Acta Biochimica et Biophysica Sinica2024，56，3： | 0 |
| 19 | Expression Preserved Face Privacy Protection Based on Multi-mode Discriminant Analysis显示文摘Most visual privacy protection methods only hide the identity information of the face images,but the expression,behavior and some other information,which are of great significant in the live broadcast and other scenarios,are also destroyed by the privacy protection process.To this end,this paper introduces a method to remove the identity information while preserving the expression information by performing multi-mode discriminant analysis on the images normalized with AAM algorithm.The face images are decomposed into mutually orthogonal subspaces corresponding to face attributes such as gender,race and expression,each of which owns related characteristic parameters.Then,the expression parameter is preserves to keep the facial expression information while others parameters,including gender and race,are modified to protect face privacy.The experiments show that this method yields well performance on both data utility and privacy protection. | Xiang Wang Chen Xiong Qingqi Pei Youyang Qu | 2018 | Computers, Materials & Continua2018，，10： | 0 |
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