136 results on '"LU Geng"'
Search Results
2. Transcription factor Sp1 transcriptionally enhances GSDME expression for pyroptosis
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Jiasong Pan, Yuanyuan Li, Wenqing Gao, Qizhou Jiang, Lu Geng, Jin Ding, Suhua Li, and Jixi Li
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Cytology ,QH573-671 - Abstract
Abstract Gasdermin-E (GSDME), the executioner of pyroptosis when cleaved by caspase 3, plays a crucial role in tumor defense and the response to chemotherapy drugs in cells. So far, there are poorly known mechanisms for the expression regulation of GSDME during cell death. Here, we identify the transcription factor Sp1 (Specificity protein 1) as a positive regulator of GSDME-mediated pyroptosis. Sp1 directly interacts with the GSDME promoter at −36 ~ −28 site and promotes GSDME gene transcription. Further, Sp1 knockdown or inhibition suppresses GSDME expression, thus reducing chemotherapy drugs (topotecan, etoposide, doxorubicin, sorafinib and cisplatin) induced cell pyroptosis. The regulation process synergizes with STAT3 (Signal transducer and activator of transcription 3) activity and antagonizes with DNA methylation but barely affects GSDMD-mediated pyroptosis or TNF-induced necroptosis. Our current finding reveals a new regulating mechanism of GSDME expression, which may be a viable target for the intervention of GSDME-dependent inflammatory diseases and cancer therapy.
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- 2024
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3. MLKL deficiency alleviates neuroinflammation and motor deficits in the α-synuclein transgenic mouse model of Parkinson’s disease
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Lu Geng, Wenqing Gao, Hexige Saiyin, Yuanyuan Li, Yu Zeng, Zhifei Zhang, Xue Li, Zuolong Liu, Qiang Gao, Ping An, Ning Jiang, Xiaofei Yu, Xiangjun Chen, Suhua Li, Lei Chen, Boxun Lu, Aiqun Li, Guoyuan Chen, Yidong Shen, Haibing Zhang, Mei Tian, Zhuohua Zhang, and Jixi Li
- Subjects
Parkinson’s disease ,MLKL ,Tg-Mlkl −/− mice ,Neuroinflammation ,scRNA-seq ,Neurology. Diseases of the nervous system ,RC346-429 ,Geriatrics ,RC952-954.6 - Abstract
Abstract Parkinson’s disease (PD), one of the most devastating neurodegenerative brain disorders, is characterized by the progressive loss of dopaminergic neurons in the substantia nigra (SN) and deposits of α-synuclein aggregates. Currently, pharmacological interventions for PD remain inadequate. The cell necroptosis executor protein MLKL (Mixed-lineage kinase domain-like) is involved in various diseases, including inflammatory bowel disease and neurodegenerative diseases; however, its precise role in PD remains unclear. Here, we investigated the neuroprotective role of MLKL inhibition or ablation against primary neuronal cells and human iPSC-derived midbrain organoids induced by toxic α-Synuclein preformed fibrils (PFFs). Using a mouse model (Tg-Mlkl −/− ) generated by crossbreeding the SNCA A53T synuclein transgenic mice with MLKL knockout (KO)mice, we assessed the impact of MLKL deficiency on the progression of Parkinsonian traits. Our findings demonstrate that Tg-Mlkl −/− mice exhibited a significant improvement in motor symptoms and reduced phosphorylated α-synuclein expression compared to the classic A53T transgenic mice. Furthermore, MLKL deficiency alleviated tyrosine hydroxylase (TH)-positive neuron loss and attenuated neuroinflammation by inhibiting the activation of microglia and astrocytes. Single-cell RNA-seq (scRNA-seq) analysis of the SN of Tg-Mlkl −/− mice revealed a unique cell type-specific transcriptome profile, including downregulated prostaglandin D synthase (PTGDS) expression, indicating reduced microglial cells and dampened neuron death. Thus, MLKL represents a critical therapeutic target for reducing neuroinflammation and preventing motor deficits in PD.
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- 2023
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4. Passing‐yielding intention estimation during lane change conflict: A semantic‐based Bayesian inference method
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Mingyang Cui, Jinxin Liu, Haotian Zheng, Qing Xu, Jiangqiang Wang, Lu Geng, and Takaaki Sekiguchi
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automated driving and intelligent vehicles ,driver cognition ,drivers ,cyclists and pedestrians modelling ,Transportation engineering ,TA1001-1280 ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
Abstract Intention estimation has been widely studied in lane change scenarios, which explains a vehicle's behaviour and implies its future motion. However, in dense traffic, lane‐changing is more tactical and interactive. Due to the conflict between merging vehicles and adjacent vehicles, driving intentions become interdependent which fuses passing and yielding. In addition, lane change occurs without a fixed location. Drivers should be aware of each other's intentions along conflict process, and take instant responses. To address these challenges, this paper proposes semantic‐based interactive intention estimation (SIIE), to understand driving intentions during lane change conflict. The problem is addressed by combining driving semantics with probability inference model based on dynamic Bayesian network (DBN). Firstly, the DBN is modelled for the interaction process with Condition‐Intention‐Behaviour relationships. Secondly, the semantics are extracted from the lane change conflict and are inferred with observation methods. Thirdly, SIIE is trained and verified with real‐world driving data. The intention estimation results are demonstrated, and then utilized for multi‐modal motion identification and trajectory prediction. Lane change in dense traffic requires interactive cognition of driving intentions, the findings of this research shall inspire future studies into related scenarios, and promote interactive driving technologies.
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- 2023
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5. Investigating Beliefs, Attitudes and Motivation toward English Language Learning among Thai and Chinese Undergraduate Students in Different Study Programs
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Lu-Geng Sun and Jirada Wudthayagorn
- Abstract
This study investigated the beliefs, attitudes, and motivation of Thai and Chinese undergraduate students in relation to English language learning. Utilizing a mixed-method, explanatory sequential design, it aims to provide a better understanding of the three variables mentioned above. The quantitative data analysis showed disparities between the cohorts, with Chinese undergraduate students often displaying more robust orientations. However, the qualitative data analysis showed that both groups valued immersive learning experiences and technological integration. The research advocates for pedagogical frameworks in English education that align with overarching global paradigms while respecting individual cultural nuances. Such revelations are important for refining teaching practices and curricula to enhance genuine global literacy. It is also recommended that future research efforts diversify their cultural purview and give due consideration to variations in socio-economic contexts.
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- 2024
6. The Effect of Red and Blue on Gross and Fine Motor Tasks: Confirming the Inverted-U Hypothesis
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Xiaobin Hong, Aiai Xu, Yan Shi, Lu Geng, Rong Zou, and Yuanbing Guo
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color effect ,red ,blue ,arousal ,dart-throwing ,grip strength ,Psychology ,BF1-990 - Abstract
Previous studies have shown that the color red can affect basic motor functioning. However, these studies utilized simple gross motor tasks rather than those assessing complex fine motor skills. Moreover, these empirical studies were theoretically based on the threat–behavior link in human and non-human animals, and neglected the relationship between arousal and motor performance. According to the Yerkes–Dodson law and the inverted-U hypothesis in sport psychology, for simple motor tasks, high arousal (associated with the color red) is more advantageous than low arousal (associated with the color blue); for complex motor tasks, low arousal (blue color) is more advantageous than high arousal (red color). The current research examined the effect of color on different kinds of motor skills (fine motor and gross motor) based on the inverted U-hypothesis. In Experiment 1, we examined the effect of red and blue on dart-throwing performance, whereas in Experiment 2, we examined the effect of red and blue on grip strength performance. The results showed that performance of fine motor skill (dart-throwing) in the blue condition was better than in the red condition, and performance of gross motor skill (handgrip) in the red context was better than in the blue context. These results indicate that the type of motor skill assessed moderates the influence of red and blue on motor performance.
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- 2022
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7. Exploring the Implicit Link Between Red and Aggressiveness as Well as Blue and Agreeableness
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Lu Geng, Xiaobin Hong, and Yulan Zhou
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color ,stroop task ,implicit association test ,red ,aggressiveness-agreeableness ,blue ,Psychology ,BF1-990 - Abstract
Previous studies have found a link between red and aggressive behavior. For example, athletes who wear red uniforms in sports are considered to have a competitive advantage. So far, most previous studies have adopted self-report methods, which have low face validity and were easily influenced by the social expectations. Therefore, the study used two implicit methods to further explore the association between red and aggressiveness. A modified Stroop task was used in Experiment 1 to probe college students’ differences between “congruent” tasks (i.e., red–aggressiveness and blue–agreeableness) and “incongruent” tasks (i.e., red–agreeableness and blue–aggressiveness). Result showed that participants responded more quickly to the congruent tasks than the incongruent tasks. Then, in order to adapt to the competitive context, Experiment 2 used an implicit association test with photos of athletes as the stimulus to college students and athletes to evaluate “congruent” tasks (i.e., red uniform photo-aggressiveness and blue uniform photo-agreeableness) as well as “incongruent” tasks (i.e., red uniform photo-agreeableness and blue uniform photo-aggressiveness), respectively. According to the results, both college students and athletes respond faster to congruent tasks than to incongruent tasks. Besides, athletes’ reactions to the red–aggressiveness association are faster than college students, which may relate to the athletes’ professional experience. The athletes may be more aggressive and impulsive. Overall, the study has attempted to examine the association between red and aggressiveness through implicit methods, but in the future, researches are need to find a deep association from brain mechanism aspect.
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- 2021
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8. Identification of three Daphne species by DNA barcoding and HPLC fingerprint analysis.
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Yanpeng Li, Lu Geng, Yuanyan Liu, Mingyang Chen, Qirui Mu, Xu Zhang, Zhongyi Zhang, Guangxi Ren, and Chunsheng Liu
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Medicine ,Science - Abstract
In order to well identify the 93 wild Cortex Daphnes samples from different species and habitats in western China and develop a standard operating procedure (SOP) for the authentication and quality of them in the future, a comprehensive and efficient identification system based on DNA barcoding and HPLC fingerprint technologies has been developed. The result showed that only 17 samples (18%) were Daphne giraldii Nitsche (DG), which is recorded in Chinese Pharmacopeia, while the others (82%) might have safety hazards. Additionally, the result of HPLC fingerprint analysis indicated that samples in the same species origins and wild distributions could be clustered together, which was consistent with DNA barcoding analysis. The study can provide a significant system for the authentication and quality of commercial Cortex Daphnes herbs. Undoubtedly, this study undoubtedly confirmed that the chemical compositions of Cortex Daphnes herbs were affected by both species origins and ecological environments, which is required more in-depth research.
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- 2018
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9. Siamese Object Tracking for Vision-Based UAM Approaching with Pairwise Scale-Channel Attention
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Zheng, Guangze, Fu, Changhong, Ye, Junjie, Li, Bowen, Lu, Geng, and Pan, Jia
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Robotics - Abstract
Although the manipulating of the unmanned aerial manipulator (UAM) has been widely studied, vision-based UAM approaching, which is crucial to the subsequent manipulating, generally lacks effective design. The key to the visual UAM approaching lies in object tracking, while current UAM tracking typically relies on costly model-based methods. Besides, UAM approaching often confronts more severe object scale variation issues, which makes it inappropriate to directly employ state-of-the-art model-free Siamese-based methods from the object tracking field. To address the above problems, this work proposes a novel Siamese network with pairwise scale-channel attention (SiamSA) for vision-based UAM approaching. Specifically, SiamSA consists of a pairwise scale-channel attention network (PSAN) and a scale-aware anchor proposal network (SA-APN). PSAN acquires valuable scale information for feature processing, while SA-APN mainly attaches scale awareness to anchor proposing. Moreover, a new tracking benchmark for UAM approaching, namely UAMT100, is recorded with 35K frames on a flying UAM platform for evaluation. Exhaustive experiments on the benchmarks and real-world tests validate the efficiency and practicality of SiamSA with a promising speed. Both the code and UAMT100 benchmark are now available at https://github.com/vision4robotics/SiamSA., Comment: Accepted by IROS2022
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- 2022
10. Siamese Object Tracking for Unmanned Aerial Vehicle: A Review and Comprehensive Analysis
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Fu, Changhong, Lu, Kunhan, Zheng, Guangze, Ye, Junjie, Cao, Ziang, Li, Bowen, and Lu, Geng
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Unmanned aerial vehicle (UAV)-based visual object tracking has enabled a wide range of applications and attracted increasing attention in the field of intelligent transportation systems because of its versatility and effectiveness. As an emerging force in the revolutionary trend of deep learning, Siamese networks shine in UAV-based object tracking with their promising balance of accuracy, robustness, and speed. Thanks to the development of embedded processors and the gradual optimization of deep neural networks, Siamese trackers receive extensive research and realize preliminary combinations with UAVs. However, due to the UAV's limited onboard computational resources and the complex real-world circumstances, aerial tracking with Siamese networks still faces severe obstacles in many aspects. To further explore the deployment of Siamese networks in UAV-based tracking, this work presents a comprehensive review of leading-edge Siamese trackers, along with an exhaustive UAV-specific analysis based on the evaluation using a typical UAV onboard processor. Then, the onboard tests are conducted to validate the feasibility and efficacy of representative Siamese trackers in real-world UAV deployment. Furthermore, to better promote the development of the tracking community, this work analyzes the limitations of existing Siamese trackers and conducts additional experiments represented by low-illumination evaluations. In the end, prospects for the development of Siamese tracking for UAV-based intelligent transportation systems are deeply discussed. The unified framework of leading-edge Siamese trackers, i.e., code library, and the results of their experimental evaluations are available at https://github.com/vision4robotics/SiameseTracking4UAV .
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- 2022
11. Mechanical strength affecting the penetration in microneedles and PLGA nanoparticle-assisted drug delivery: Importance of preparation and formulation
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Lu, Geng, Li, Baohua, Lin, Luping, Li, Xiaofang, and Ban, Junfeng
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- 2024
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12. Correlation Filters for Unmanned Aerial Vehicle-Based Aerial Tracking: A Review and Experimental Evaluation
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Fu, Changhong, Li, Bowen, Ding, Fangqiang, Lin, Fuling, and Lu, Geng
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Robotics ,Electrical Engineering and Systems Science - Image and Video Processing ,I.4.9 ,A.1 - Abstract
Aerial tracking, which has exhibited its omnipresent dedication and splendid performance, is one of the most active applications in the remote sensing field. Especially, unmanned aerial vehicle (UAV)-based remote sensing system, equipped with a visual tracking approach, has been widely used in aviation, navigation, agriculture,transportation, and public security, etc. As is mentioned above, the UAV-based aerial tracking platform has been gradually developed from research to practical application stage, reaching one of the main aerial remote sensing technologies in the future. However, due to the real-world onerous situations, e.g., harsh external challenges, the vibration of the UAV mechanical structure (especially under strong wind conditions), the maneuvering flight in complex environment, and the limited computation resources onboard, accuracy, robustness, and high efficiency are all crucial for the onboard tracking methods. Recently, the discriminative correlation filter (DCF)-based trackers have stood out for their high computational efficiency and appealing robustness on a single CPU, and have flourished in the UAV visual tracking community. In this work, the basic framework of the DCF-based trackers is firstly generalized, based on which, 23 state-of-the-art DCF-based trackers are orderly summarized according to their innovations for solving various issues. Besides, exhaustive and quantitative experiments have been extended on various prevailing UAV tracking benchmarks, i.e., UAV123, UAV123@10fps, UAV20L, UAVDT, DTB70, and VisDrone2019-SOT, which contain 371,903 frames in total. The experiments show the performance, verify the feasibility, and demonstrate the current challenges of DCF-based trackers onboard UAV tracking., Comment: Accepted to IEEE Geoscience and Remote Sensing Magazine
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- 2020
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13. AutoTrack: Towards High-Performance Visual Tracking for UAV with Automatic Spatio-Temporal Regularization
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Li, Yiming, Fu, Changhong, Ding, Fangqiang, Huang, Ziyuan, and Lu, Geng
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Most existing trackers based on discriminative correlation filters (DCF) try to introduce predefined regularization term to improve the learning of target objects, e.g., by suppressing background learning or by restricting change rate of correlation filters. However, predefined parameters introduce much effort in tuning them and they still fail to adapt to new situations that the designer did not think of. In this work, a novel approach is proposed to online automatically and adaptively learn spatio-temporal regularization term. Spatially local response map variation is introduced as spatial regularization to make DCF focus on the learning of trust-worthy parts of the object, and global response map variation determines the updating rate of the filter. Extensive experiments on four UAV benchmarks have proven the superiority of our method compared to the state-of-the-art CPU- and GPU-based trackers, with a speed of ~60 frames per second running on a single CPU. Our tracker is additionally proposed to be applied in UAV localization. Considerable tests in the indoor practical scenarios have proven the effectiveness and versatility of our localization method. The code is available at https://github.com/vision4robotics/AutoTrack., Comment: 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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- 2020
14. Human lung adenocarcinoma CD47 is upregulated by interferon-γ and promotes tumor metastasis
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Qu, Shuang, Jiao, Zichen, Lu, Geng, Xu, Jiahan, Yao, Bing, Wang, Ting, Wang, Jun, Yao, Yongzhong, Yan, Xin, Wang, Tao, Liang, Hongwei, and Zen, Ke
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- 2022
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15. Revealing Changes in Celecoxib Nanostructured Lipid Carrier's Bioavailability Using Hyaluronic Acid as an Enhancer by HPLC-MS/MS.
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Zhu, Yi, Chen, Meiling, Yang, Chuangzan, Lu, Geng, Huang, Sa, Chen, Meili, Wang, Yufei, and Ban, Junfeng
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- 2024
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16. Estudio comparativo de las connotaciones culturales de los refranes con zoónimos en chino y en español
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Lu, Geng, primary
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- 2024
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17. PD-L1 lncRNA splice isoform promotes lung adenocarcinoma progression via enhancing c-Myc activity
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Qu, Shuang, Jiao, Zichen, Lu, Geng, Yao, Bing, Wang, Ting, Rong, Weiwei, Xu, Jiahan, Fan, Ting, Sun, Xinlei, Yang, Rong, Wang, Jun, Yao, Yongzhong, Xu, Guifang, Yan, Xin, Wang, Tao, Liang, Hongwei, and Zen, Ke
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- 2021
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18. The adsorption and transformation of SO2, H2S and NH3 by using sludge gasification ash: Effects of Fenton oxidation and CaO pre-conditioning
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Yi, Kexin, Liu, Huan, Wang, Jiaxing, Lu, Geng, Jin, Minghao, Hu, Hongyun, and Yao, Hong
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- 2019
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19. Investigating Beliefs, Attitudes and Motivation toward English Language Learning among Thai and Chinese Undergraduate Students in Different Study Programs.
- Author
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Lu-Geng Sun and Wudthayagorn, Jirada
- Subjects
CHINESE-speaking students ,UNDERGRADUATES ,ENGLISH language ,ATTITUDE (Psychology) ,MOTIVATION (Psychology) ,HEALTH literacy ,ACHIEVEMENT motivation - Abstract
This study investigated the beliefs, attitudes, and motivation of Thai and Chinese undergraduate students in relation to English language learning. Utilizing a mixed-method, explanatory sequential design, it aims to provide a better understanding of the three variables mentioned above. The quantitative data analysis showed disparities between the cohorts, with Chinese undergraduate students often displaying more robust orientations. However, the qualitative data analysis showed that both groups valued immersive learning experiences and technological integration. The research advocates for pedagogical frameworks in English education that align with overarching global paradigms while respecting individual cultural nuances. Such revelations are important for refining teaching practices and curricula to enhance genuine global literacy. It is also recommended that future research efforts diversify their cultural purview and give due consideration to variations in socio-economic contexts. [ABSTRACT FROM AUTHOR]
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- 2024
20. Prognostic Value of the Average Lung CT Number in Patients with Acute Paraquat Poisoning
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Jiang, Xinrui, primary, Liu, Hengjun, additional, Lu, Geng, additional, Zhou, Jiawei, additional, Wang, Jun, additional, Shao, Binxia, additional, and Xu, Peng, additional
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- 2023
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21. A new odd entire function of order one arising in the heat problem
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Xiao-Jun Yang, Mahmoud Abdel-Aty, and Lu-Lu Geng
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Renewable Energy, Sustainability and the Environment - Abstract
In this article we suggest a new odd entire function of order one. We discover that it is the solution of the heat equation. We propose a new conjecture that this function has only real zeros. The obtained result gives a connection with the heat problem and number theory.
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- 2023
22. Formulation and Evaluation of PLGA Nanoparticulate-Based Microneedle System for Potential Treatment of Neurological Diseases
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Li,Baohua, Lu,Geng, Liu,Wenbin, Liao,Liqi, Ban,Junfeng, and Lu,Zhufen
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International Journal of Nanomedicine - Abstract
Baohua Li,1,2,* Geng Lu,1,2 Wenbin Liu,3,* Liqi Liao,2 Junfeng Ban,1,2 Zhufen Lu1 1Guangdong Provincial Key Laboratory of Advanced Drug Delivery, Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Guangdong Pharmaceutical University, Guangzhou, Peopleâs Republic of China; 2The Innovation Team for Integrating Pharmacy with Entrepreneurship, Guangdong Pharmaceutical University, Guangzhou, Peopleâs Republic of China; 3Guangdong Provincial Key Laboratory of Pharmaceutical Bioactive Substances, Guangdong Pharmaceutical University, Guangzhou, Peopleâs Republic of China*These authors contributed equally to this workCorrespondence: Junfeng Ban; Zhufen Lu, School of Pharmacy, Guangdong Pharmaceutical University, Guangzhou, Guangdong, 51006, Peopleâs Republic of China, Tel +86 20 39352362, Email banjunfeng@163.com; luzhufen@163.comIntroduction: The tight structure of the bloodâbrain barrier severely limits the level of drug therapy for central nervous system disorders. In this study, a novel composite delivery system combining nanocarrier and microneedle technology was prepared to explore the possibility of transdermal delivery of drugs to work in the brain.Methods: Nanoparticle solutions containing paroxetine and rhodamine-B were prepared using PLGA as a carrier by the emulsification-solvent volatilization method. Then, they were mixed with hyaluronic acid and the PLGA nanoparticulate-based microneedle system (Rh-NPs-DMNs) was prepared by a multi-step decompression-free diffusion method. The particle size, zeta potential, and micromorphology of the nano solution were measured; the appearance, mechanical strength, dissolution properties, and puncture effect of the Rh-NPs-DMNs were evaluated; also, it was evaluated for in vivo live imaging properties and in vitro skin layer transport and distribution properties.Results: The mean particle size of Rh-NPs was 96.25 ± 2.26 nm; zeta potential of 15.89 ± 1.97 mV; PDI of 0.120 ± 0.079. Rh-NPs-DMNs had a high needle content of 96.11 ± 1.27% and a tip height of 651.23 ± 1.28 μm, with excellent mechanical properties (fracture force of 299.78 ± 1.74 N). H&E skin tissue staining showed that Rh-NPs-DMNs produced micron-sized mechanical pores approximately 550 μm deep immediately after drug administration, allowing for efficient circulation of the drug; and the results of in vivo imaging showed that Rh-B NPs DMNs had a faster transport rate than Rh-B DMNs, with strong fluorescent signals in both brain (P< 0.01) and hippocampus (P< 0.05) 48 h after drug administration.Conclusion: Nanoparticles can prolong blood circulation time and intracerebral retention time and have certain brain-targeting properties due to their excellent physical properties. The use of microneedle technology combined with nanocarriers provides new ideas for delivery systems for the treatment of central neurological diseases.Graphical Abstract: Keywords: soluble microneedle, PLGA nanoparticles, skin transfer, central nervous system
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- 2023
23. DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks
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Lu Geng, Hedong Yang, Depeng Jin, Erzhuo Shao, Huandong Wang, Jie Feng, Tong Xia, and Yong Li
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Mean squared error ,Flow distribution ,Computer science ,computer.software_genre ,Computer Science Applications ,Computational Theory and Mathematics ,Flow (mathematics) ,Beijing ,Residual Blocks ,Key (cryptography) ,Deep neural networks ,Data mining ,computer ,Information Systems - Abstract
Obtaining fine-grained crowd flow distribution with recognized human intention is extremely valuable for a series of applications for a metropolitan city. We address this problem by leveraging a key insight people's intention behind their movement is highly correlated with the point-of-interest (POI) distribution of the corresponding regions. We propose DeepFlowGen to model the complicated relationship between crowd flow, POI, and time to generate intention-aware fine-grained crowd flow. Specifically, we solve the conflict between dynamic crowd flow and static POI distribution by fusing the information in both time and POI domains. In addition, we employ a sequence of residual blocks in DeepFlowGen to address the challenges of modeling the diverse temporal rhythms and heterogeneous influence of POI. Extensive experiments demonstrate that our model outperforms the state-of-the-art solutions by more than 15% in terms of RMSE of total crowd flow. Moreover, the correlation between the generated intention-aware crowd flow and the check-in distribution across different categories of POIs is as high as 0.90 and 0.75 in Beijing and Shanghai. Combined with extensive case studies, we demonstrate the strong ability of our model in generating intention-aware fine-grained crowd flow.
- Published
- 2022
24. Formation of Hydrophilic Nanofibers from Nanostructural Design in the Co-Encapsulation of Celecoxib through Electrospinning
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Chu, Kedi, primary, Zhu, Yi, additional, Lu, Geng, additional, Huang, Sa, additional, Yang, Chuangzan, additional, Zheng, Juying, additional, Chen, Junming, additional, Ban, Junfeng, additional, Jia, Huanhuan, additional, and Lu, Zhufen, additional
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- 2023
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25. Transcriptomic analysis reveals the mechanism of thermosensitive genic male sterility (TGMS) of Brassica napus under the high temperature inducement
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Tang, Xin, Hao, You-Jin, Lu, Jun-Xing, Lu, Geng, and Zhang, Tao
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- 2019
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26. Time-varying output formation control for high-order linear time-invariant swarm systems
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Dong, Xiwang, Shi, Zongying, Lu, Geng, and Zhong, Yisheng
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- 2015
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27. Genome-wide characterization of PEBP gene family in Perilla frutescens and PfFT1 promotes flowering time in Arabidopsis thaliana
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Xu, Huaxiang, primary, Guo, Xi, additional, Hao, Youjin, additional, Lu, Geng, additional, Li, Dan, additional, Lu, Junxing, additional, and Zhang, Tao, additional
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- 2022
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28. Landscape of Metabolic Fingerprinting for Diagnosis and Risk Stratification of Sepsis
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Lu, Geng, Zhou, Jiawei, Yang, Ting, Li, Jin, Jiang, Xinrui, Zhang, Wenjun, Gu, Shuangshuang, and Wang, Jun
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Sepsis ,Immunology ,Humans ,Immunology and Allergy ,Risk Assessment ,Shock, Septic ,Biomarkers ,Systemic Inflammatory Response Syndrome - Abstract
BackgroundSepsis and septic shock, a subset of sepsis with higher risk stratification, are hallmarked by high mortality rates and necessitated early and accurate biomarkers.MethodsUntargeted metabolomic analysis was performed to compare the metabolic features between the sepsis and control systemic inflammatory response syndrome (SIRS) groups in discovery cohort, and potential metabolic biomarkers were selected and quantified using multiple reaction monitoring based target metabolite detection method.ResultsDifferentially expressed metabolites including 46 metabolites in positive electrospray ionization (ESI) ion mode, 22 metabolites in negative ESI ion mode, and 4 metabolites with dual mode between sepsis and SIRS were identified and revealed. Metabolites 5-Oxoproline, L-Kynurenine and Leukotriene D4 were selected based on least absolute shrinkage and selection operator regularization logistic regression and differential expressed between sepsis and septic shock group in the training and test cohorts. Respective risk scores for sepsis and septic shock based on a 3-metabolite fingerprint classifier were established to distinguish sepsis from SIRS, septic shock from sepsis. Significant relationship between developed sepsis risk scores, septic shock risk scores and Sequential (sepsis-related) Organ Failure Assessment (SOFA), procalcitonin (PCT) and lactic acid were observed.ConclusionsCollectively, our findings demonstrated that the characteristics of plasma metabolites not only manifest phenotypic variation in sepsis onset and risk stratification of sepsis but also enable individualized treatment and improve current therapeutic strategies.
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- 2022
29. Aggressive Attitude Control of Unmanned Rotor Helicopters Using a Robust Controller
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Lu, Geng
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- 2015
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30. CHARACTERISTICS OF NEW TYPE ROGUE WAVES AND SOLITARY WAVES TO THE EXTENDED (3+1)-DIMENSIONAL JIMBO-MIWA EQUATION
- Author
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Jian-Gen Liu, Xiao-Jun Yang, Yi-Ying Feng, and Lu-Lu Geng
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Physics ,Instanton ,Polynomial ,Nonlinear system ,Nonlinear Sciences::Exactly Solvable and Integrable Systems ,Basis (linear algebra) ,General Mathematics ,Direct method ,One-dimensional space ,Rogue wave ,Bilinear form ,Mathematical physics - Abstract
On the basis of the binary Bell polynomial scheme, the bilinear form of the extended (3+1)-dimensional Jimbo-Miwa (JM) equation, is constructed. Then, a class of new type rogue waves solutions to the extended (3+1)-dimensional JM equation, is found. It mainly includes the lump solutions, lumpoff solutions and instanton solutions. Their nonlinear evolutionary processes by 3D- and 2D-graphs, are shown. Finally, a direct method which is called the tanh-function method was used to get solitary waves of this considered model. These results can help us better understand interesting physical phenomena and mechanism.
- Published
- 2021
31. New insights on the J and Y functions in the heat transfer
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Xiao-Jun Yang, Lu-Lu Geng, and Yu-Mei Pan
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Renewable Energy, Sustainability and the Environment ,heat equation ,heat transfer ,TJ1-1570 ,the j function ,Mechanical engineering and machinery ,the y function ,special function - Abstract
In this article, we propose the integral and differential operators within the kernel of the Y function for the first time. We study the properties of the J and Y functions. We also present the some new applications of the heat transfer and present the new representation for the solution of the heat equation in the 1-D case.
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- 2021
32. Multi-Regularized Correlation Filter for UAV Tracking and Self-Localization
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Ye, Junjie, primary, Fu, Changhong, additional, Lin, Fuling, additional, Ding, Fangqiang, additional, An, Shan, additional, and Lu, Geng, additional
- Published
- 2022
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33. A new general fractional derivative Goldstein-Kac-type telegraph equation
- Author
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Lu-Lu Geng, Ping Cui, Jian-Gen Liu, and Yi-Ying Feng
- Subjects
Laplace transform ,Renewable Energy, Sustainability and the Environment ,lcsh:Mechanical engineering and machinery ,telegraph equation ,lorenzo-hartley function ,Telegrapher's equations ,Function (mathematics) ,Type (model theory) ,Fractional calculus ,Kernel (statistics) ,laplace transform ,Applied mathematics ,lcsh:TJ1-1570 ,general fractional-order derivative ,Mathematics - Abstract
In this paper, we consider the Riemann-Liouville-type general fractional derivatives of the non-singular kernel of the one-parametric Lorenzo-Hartley function. A new general fractional-order-derivative Goldstein-Kac-type telegraph equation is proposed for the first time. The analytical solution of the considered model with the graphs is obtained with the aid of the Laplace transform. The general fractional-order-derivative formula is as a new mathematical tool proposed to model the anomalous behaviors in complex and power-law phenomena.
- Published
- 2020
34. Tur´an type inequalities for the supertrigonometric functions
- Author
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Lu-Lu Geng, Xiao-Jun Yang, and Jian-Gen Liu
- Abstract
This paper is devoted to the study of Tur\’{an} type inequalities for some well-known special functions such as supersine and supercosine which are derived by using a new form of the Cauchy-Bunyakovsky-Schwarz inequality.
- Published
- 2021
35. Robust Tracking Control of a Quadrotor Helicopter
- Author
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Liu, Hao, Bai, Yongqiang, Lu, Geng, Shi, Zongying, and Zhong, Yisheng
- Published
- 2014
- Full Text
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36. Analysis of the genetic diversity of morphological traits of oat germplasms
- Author
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SUN Yannan, LU Gengxin, LI Guanyi, WANG Xinxin, and TANG Chao
- Subjects
oat ,germplasm resource ,morphological traits ,genetic diversity ,Biology (General) ,QH301-705.5 ,Botany ,QK1-989 - Abstract
[Objective] The study of genetic diversity in oat germplasm resources not only contributes to the collection and evaluation of germplasm resources, but also has important guiding significance for the production and breeding of oats. [Methods] This study analyzed the diversity, variation, and clustering of 20 morphological traits in 260 oat germplasm resources, evaluated the genetic variation level of their morphological traits, and examined the traits and genetic diversity of oat germplasm resources, aiming to provide a basis for oat germplasm innovation and variety improvement. [Results] There was a significant genetic diversity of morphological traits in the 260 oat germplasm resources. The genetic diversity index of the qualitative traits was the highest in grain color (1.53) and the lowest in awn color (0.76). The genetic diversity index of the 12 quantitative traits was normally distributed, and that of the quantitative traits was the largest in thousand grain weight (2.03) and the smallest in effective tillers (1.22). The highest variable coefficient was the effective tillering number (89.02%), while the lowest was the plant height (11.19%). According to genetic difference of each characteristic varieties, the 260 accessions should be classified into 6 categories by cluster analysis. Germplasm group Ⅰ included 42 accessions which could be used as parent materials for seed type selection. Germplasm group Ⅱ had 31 accessions that could be used as parent materials for breeding high-yield forage varieties. Germplasm group Ⅳ includes 41 accessions that could be used for breeding large grain varieties. Germplasm group Ⅴ includes 46 accessions that could be used as parents for oat dwarfing. Germplasm group Ⅲ included 46 accessions and group Ⅵ included 54 accessions, and both were not outstanding in comprehensive characters analyzed. [Conclusion] This study could provide theoretical basis for the protection, development and utilization of oat germplasm resources in eastern Inner Mongolia.
- Published
- 2024
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37. Cloning and functional study of lysophosphatidic acid acyltransferase gene in Perilla frutescens.
- Author
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XU Hua-Xiang, LU Geng, GUO Xi, LI Yuan-Yuan, and ZHANG Tao
- Abstract
Lysophosphatidic acid acyltransferase (LPAAT) is a key enzyme in plant triacylglycerol biosynthesis. Investigating the function of Perilla frutescens LPAAT gene (PfLPAAT) in oil biosynthesis can help to reveal the molecular mechanism of plant oil accumulation. In this study, RT-PCR was used to obtain PfLPAAT, and the basic physical and chemical properties, transmembrane domain, and subcellular localization of the putative protein of PfLPAAT was analyzed by bioinformatics methods, and phylogenetic analysis of homologous proteins was conducted. The qRT-PCR was used to analyze the relative expression level of PfLPAAT in different tissues and developmental stages of seeds in Perilla. The expression vector pCAMBIA1303-PfLPAAT was constructed and transformed into Arabidopsis thaliana by floral dip method, and the oil content and fatty acid composition of transgenic Arabidopsis seeds were analyzed. The results showed that the PfLPAAT sequence was 1149 bp in length and encoded 382 amino acids. The theoretical isoelectric point of the putative protein was 9.60, and the molecular mass was 43.02 kD. Bioinformatics indicated that PfLPAAT functioned in endoplasmic reticulum and belonged to the PLN02380 superfamily. The qRT-PCR revealed that PfLPAAT expressed in all tissues of Perilla, and the highest level was observed in leaves and seeds of 15 days after flowering. Compared with wild-type Arabidopsis, the overexpression of PfLPAAT in Arabidopsis improved seed oil content significantly, with a range of 2.04% to 13.40%. Fatty acid composition analysis demonstrated that the content of oleic acid, linoleic acid, linolenic acid, and arachidic acid increased significantly, while the content of palmitic acid, stearic acid, arachidic acid, arachidonic Lysophosphatidic acid acyltransferase (LPAAT) is a key enzyme in plant triacylglycerol biosynthesis. Investigating the function of Perilla frutescens LPAAT gene (PfLPAAT) in oil biosynthesis can help to reveal the molecular mechanism of plant oil accumulation. In this study, RT-PCR was used to obtain PfLPAAT, and the basic physical and chemical properties, transmembrane domain, and subcellular localization of the putative protein of PfLPAAT was analyzed by bioinformatics methods, and phylogenetic analysis of homologous proteins was conducted. The qRT-PCR was used to analyze the relative expression level of PfLPAAT in different tissues and developmental stages of seeds in Perilla. The expression vector pCAMBIA1303-PfLPAAT was constructed and transformed into Arabidopsis thaliana by floral dip method, and the oil content and fatty acid composition of transgenic Arabidopsis seeds were analyzed. The results showed that the PfLPAAT sequence was 1149 bp in length and encoded 382 amino acids. The theoretical isoelectric point of the putative protein was 9.60, and the molecular mass was 43.02 kD. Bioinformatics indicated that PfLPAAT functioned in endoplasmic reticulum and belonged to the PLN02380 superfamily. The qRT-PCR revealed that PfLPAAT expressed in all tissues of Perilla, and the highest level was observed in leaves and seeds of 15 days after flowering. Compared with wild-type Arabidopsis, the overexpression of PfLPAAT in Arabidopsis improved seed oil content significantly, with a range of 2.04% to 13.40%. Fatty acid composition analysis demonstrated that the content of oleic acid, linoleic acid, linolenic acid, and arachidic acid increased significantly, while the content of palmitic acid, stearic acid, arachidic acid, arachidonic [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
38. Tumor evolution selectively inactivates the core microRNA machinery for immune evasion
- Author
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Min-Fang Song, Wenrong Zhou, Yu-Feng Liu, Yu-Lin Yang, Yang Liu, Jun-Yi Chen, Hong-Jie Fan, Min Long, Dawei Huang, Bo Peng, Yong Cang, Chen-Lu Geng, Zhengang Peng, Haixin Zhao, Tian-yu Song, and Miao-Wen Zou
- Subjects
Science ,medicine.medical_treatment ,T-Lymphocytes ,Tumour heterogeneity ,Antigen presentation ,Programmed Cell Death 1 Receptor ,General Physics and Astronomy ,Mice, Nude ,Cancer immunotherapy ,Biology ,General Biochemistry, Genetics and Molecular Biology ,Article ,Genetic Heterogeneity ,Interferon-gamma ,Mice ,Immune system ,Suppressor of Cytokine Signaling 1 Protein ,Cell Line, Tumor ,Neoplasms ,microRNA ,medicine ,Phosphoprotein Phosphatases ,Gene silencing ,CRISPR ,Animals ,Humans ,Immune Evasion ,Multidisciplinary ,Suppressor of cytokine signaling 1 ,Immunosurveillance ,General Chemistry ,Immunotherapy ,Mice, Inbred C57BL ,MicroRNAs ,Cancer cell ,Cancer research ,Chemokines ,Signal Transduction - Abstract
Cancer cells acquire genetic heterogeneity to escape from immune surveillance during tumor evolution, but a systematic approach to distinguish driver from passenger mutations is lacking. Here we investigate the impact of different immune pressure on tumor clonal dynamics and immune evasion mechanism, by combining massive parallel sequencing of immune edited tumors and CRISPR library screens in syngeneic mouse tumor model and co-culture system. We find that the core microRNA (miRNA) biogenesis and targeting machinery maintains the sensitivity of cancer cells to PD-1-independent T cell-mediated cytotoxicity. Genetic inactivation of the machinery or re-introduction of ANKRD52 frequent patient mutations dampens the JAK-STAT-interferon-γ signaling and antigen presentation in cancer cells, largely by abolishing miR-155-targeted silencing of suppressor of cytokine signaling 1 (SOCS1). Expression of each miRNA machinery component strongly correlates with intratumoral T cell infiltration in nearly all human cancer types. Our data indicate that the evolutionarily conserved miRNA pathway can be exploited by cancer cells to escape from T cell-mediated elimination and immunotherapy., Dysregulation of the microRNA machinery has crucial roles in cancer development. Here the authors show that inactivation of proteins involved in microRNA-mediated gene silencing, such as ANKRD52 or AGO2, confers resistance to T cell-mediated immune response in a preclinical cancer model.
- Published
- 2021
39. Additional file 3 of PD-L1 lncRNA splice isoform promotes lung adenocarcinoma progression via enhancing c-Myc activity
- Author
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Qu, Shuang, Zichen Jiao, Lu, Geng, Yao, Bing, Wang, Ting, Weiwei Rong, Jiahan Xu, Fan, Ting, Xinlei Sun, Yang, Rong, Wang, Jun, Yongzhong Yao, Guifang Xu, Yan, Xin, Wang, Tao, Hongwei Liang, and Zen, Ke
- Subjects
integumentary system - Abstract
Additional file 3. Source Data for blots. Uncropped Western blots and Agarose gels containing the entire ladder.
- Published
- 2021
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- View/download PDF
40. Additional file 1 of PD-L1 lncRNA splice isoform promotes lung adenocarcinoma progression via enhancing c-Myc activity
- Author
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Qu, Shuang, Zichen Jiao, Lu, Geng, Yao, Bing, Wang, Ting, Weiwei Rong, Jiahan Xu, Fan, Ting, Xinlei Sun, Yang, Rong, Wang, Jun, Yongzhong Yao, Guifang Xu, Yan, Xin, Wang, Tao, Hongwei Liang, and Zen, Ke
- Abstract
Additional file 1: Table S1. Clinic characteristics of lung adenocarcinoma patients. Table S2. List of primers for qRT-PCR. Table S3. List of target sequences of various siRNAs.
- Published
- 2021
- Full Text
- View/download PDF
41. Additional file 4 of PD-L1 lncRNA splice isoform promotes lung adenocarcinoma progression via enhancing c-Myc activity
- Author
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Qu, Shuang, Zichen Jiao, Lu, Geng, Yao, Bing, Wang, Ting, Weiwei Rong, Jiahan Xu, Fan, Ting, Xinlei Sun, Yang, Rong, Wang, Jun, Yongzhong Yao, Guifang Xu, Yan, Xin, Wang, Tao, Hongwei Liang, and Zen, Ke
- Abstract
Additional file 4. Review history.
- Published
- 2021
- Full Text
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42. Additional file 2 of PD-L1 lncRNA splice isoform promotes lung adenocarcinoma progression via enhancing c-Myc activity
- Author
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Qu, Shuang, Zichen Jiao, Lu, Geng, Yao, Bing, Wang, Ting, Weiwei Rong, Jiahan Xu, Fan, Ting, Xinlei Sun, Yang, Rong, Wang, Jun, Yongzhong Yao, Guifang Xu, Yan, Xin, Wang, Tao, Hongwei Liang, and Zen, Ke
- Abstract
Additional file 2: Figure S1. The PD-L1 protein level in human lung cancer tissue. Figure S2. The Sanger sequencing result of the PD-L1 mRNA (878 bp band) and PD-L1 lncRNA (705 bp band) obtained by RT-PCR. Figure S3. The Sanger sequencing result of the PD-L1 mRNA obtained by qRT-PCR with specific primer for amplification of PD-L1 mRNA (157 bp band) and PD-L1 lncRNA (106 bp band) obtained by RT-PCR. Figure S4. Expression of PD-L1-lnc in various cancers. Figure S5. PD-L1-lnc is a long non-coding RNA fragment. Figure S6. Induction of PD-L1 by IFNγ in lung adenocarcinoma cells. Figure S7. PD-L1-lnc has no effect on PD-L1 mRNA and protein expression. Figure S8. Expression level of genes within the c-Myc signaling downstream in lung cancer xenograft. Figure S9. PD-L1-lnc binds to c-Myc. Figure S10. Graphical representation images of the binding interface of the docking models of PD-L1-lnc with c-Myc by NPDock. Figure S11. The expression of PD-L1 lncRNA and mRNA in A549 cells transfected with the mutant vector and wild type vector. Figure S12. Cell fraction assay. Figure S13. Binding of PD-L1-lnc to c-Myc enhances the association of c-Myc with MAX and promotes the entry of c-Myc into nucleus. Figure S14. The influence of c-Myc siRNA on gene expression in lung cancer A549 and PC9 cells. Figure S15. The effect of DAZAP1 on the generation of PD-L1-lnc.
- Published
- 2021
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43. Diagnostic Value of Metagenomic Next-Generation Sequencing for Pulmonary Infection in Intensive Care Unit and Non-Intensive Care Unit Patients.
- Author
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Jing-Jiang Zhou, Wei-Chao Ding, Yan-Cun Liu, Yu-Lei Gao, Lei Xu, Run-Lu Geng, Ying Ye, and Yan-Fen Chai
- Subjects
NUCLEOTIDE sequencing ,INTENSIVE care units ,ACINETOBACTER baumannii ,METAGENOMICS ,STENOTROPHOMONAS maltophilia ,LUNG infections ,RNA sequencing - Abstract
Objective: To evaluate the diagnostic performance of metagenomic next-generation sequencing (mNGS) and culture in pathogen detection among intensive care unit (ICU) and non-ICU patients with suspected pulmonary infection. Methods: In this prospective study, sputum samples were collected from patients with suspected pulmonary infection for 2 consecutive days and then subjected to DNA or RNA sequencing by mNGS or culture; 62 ICU patients and 60 non-ICU patients were admitted. In the end, comparisons were made on the pathogen species identified by mNGS and culture, the overall performance of these two methods in pathogen detection, and the most common pathogens detected by mNGS between the ICU and non-ICU groups. Results: In DNA and RNA sequencing, the positive rate of pathogen detection reached 96.69% (117/121) and 96.43% (108/112), respectively. In culture tests, the positive rate of the pathogen was 39.34% (48/122), much lower than that of DNA and RNA sequencing. In general, the positive rate of pathogen detection by sputum mNGS was significantly higher than that of sputum culture in the total and non-ICU groups (p < 0.001) but did not show a significant difference when compared to the result of sputum culture in the ICU group (p = 0.08). Haemophilus spp., Candida albicans, Enterococcus spp., and viruses from the mNGS results were excluded before comparing the overall performance of these two methods in pathogen detection. Specifically, among the 10 most common bacteria implied from the mNGS results, significant differences were observed in the number of cases of Haemophilus parainfluenzae, Acinetobacter baumannii, Klebsiella pneumoniae, Pseudomonas aeruginosa, Stenotrophomonas maltophilia, Staphylococcus aureus, and Enterococcus faecalis between the ICU and non-ICU groups (p < 0.05). Conclusions: This study demonstrated the superiority of mNGS over culture in detecting all kinds of pathogen species in sputum samples. These results indicate that mNGS may serve as a valuable tool to identify pathogens, especially for ICU patients who are more susceptible to mixed infections. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
44. Two Small Extracellular Vesicle sRNAs Derived From Mycobacterium tuberculosis Serve as Diagnostic Biomarkers for Active Pulmonary Tuberculosis
- Author
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Lu, Geng, primary, Jiang, XinRui, additional, Wu, Anni, additional, Zhou, Jiawei, additional, Liu, Hengjun, additional, He, Fei, additional, Zhang, Qiuling, additional, Zen, Ke, additional, Gu, Shuangshuang, additional, and Wang, Jun, additional
- Published
- 2021
- Full Text
- View/download PDF
45. Exploring the Implicit Link Between Red and Aggressiveness as Well as Blue and Agreeableness
- Author
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Lu Geng, Xiaobin Hong, and Yulan Zhou
- Subjects
Agreeableness ,lcsh:BF1-990 ,aggressiveness-agreeableness ,Context (language use) ,red ,050105 experimental psychology ,03 medical and health sciences ,0302 clinical medicine ,Psychology ,0501 psychology and cognitive sciences ,Association (psychology) ,stroop task ,implicit association test ,General Psychology ,Face validity ,Original Research ,biology ,blue ,Athletes ,05 social sciences ,Implicit-association test ,030229 sport sciences ,biology.organism_classification ,color ,Task (computing) ,lcsh:Psychology ,psychological phenomena and processes ,Cognitive psychology ,Stroop effect - Abstract
Previous studies have found a link between red and aggressive behavior. For example, athletes who wear red uniforms in sports are considered to have a competitive advantage. So far, most previous studies have adopted self-report methods, which have low face validity and were easily influenced by the social expectations. Therefore, the study used two implicit methods to further explore the association between red and aggressiveness. A modified Stroop task was used in Experiment 1 to probe college students’ differences between “congruent” tasks (i.e., red–aggressiveness and blue–agreeableness) and “incongruent” tasks (i.e., red–agreeableness and blue–aggressiveness). Result showed that participants responded more quickly to the congruent tasks than the incongruent tasks. Then, in order to adapt to the competitive context, Experiment 2 used an implicit association test with photos of athletes as the stimulus to college students and athletes to evaluate “congruent” tasks (i.e., red uniform photo-aggressiveness and blue uniform photo-agreeableness) as well as “incongruent” tasks (i.e., red uniform photo-agreeableness and blue uniform photo-aggressiveness), respectively. According to the results, both college students and athletes respond faster to congruent tasks than to incongruent tasks. Besides, athletes’ reactions to the red–aggressiveness association are faster than college students, which may relate to the athletes’ professional experience. The athletes may be more aggressive and impulsive. Overall, the study has attempted to examine the association between red and aggressiveness through implicit methods, but in the future, researches are need to find a deep association from brain mechanism aspect.
- Published
- 2020
46. Teaching Practice and Exploration of Programming Course Based on Processing Platform
- Author
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Lu Geng
- Subjects
Multimedia ,Computer science ,computer.software_genre ,computer ,Course (navigation) - Published
- 2020
47. Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning
- Author
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Sheng Zhou, Wenqi Shi, Lu Geng, Miao Jiang, and Zhisheng Niu
- Subjects
Signal Processing (eess.SP) ,FOS: Computer and information sciences ,Computer Science - Machine Learning ,Computer science ,Distributed computing ,Computer Science - Information Theory ,02 engineering and technology ,Upper and lower bounds ,Scheduling (computing) ,Machine Learning (cs.LG) ,Computer Science - Networking and Internet Architecture ,0202 electrical engineering, electronic engineering, information engineering ,FOS: Electrical engineering, electronic engineering, information engineering ,Wireless ,Electrical and Electronic Engineering ,Latency (engineering) ,Electrical Engineering and Systems Science - Signal Processing ,Networking and Internet Architecture (cs.NI) ,business.industry ,Applied Mathematics ,Information Theory (cs.IT) ,020206 networking & telecommunications ,Computer Science Applications ,Bandwidth allocation ,Rate of convergence ,Resource allocation ,business ,Communication channel - Abstract
In federated learning (FL), devices contribute to the global training by uploading their local model updates via wireless channels. Due to limited computation and communication resources, device scheduling is crucial to the convergence rate of FL. In this paper, we propose a joint device scheduling and resource allocation policy to maximize the model accuracy within a given total training time budget for latency constrained wireless FL. A lower bound on the reciprocal of the training performance loss, in terms of the number of training rounds and the number of scheduled devices per round, is derived. Based on the bound, the accuracy maximization problem is solved by decoupling it into two sub-problems. First, given the scheduled devices, the optimal bandwidth allocation suggests allocating more bandwidth to the devices with worse channel conditions or weaker computation capabilities. Then, a greedy device scheduling algorithm is introduced, which in each step selects the device consuming the least updating time obtained by the optimal bandwidth allocation, until the lower bound begins to increase, meaning that scheduling more devices will degrade the model accuracy. Experiments show that the proposed policy outperforms state-of-the-art scheduling policies under extensive settings of data distributions and cell radius., Comment: submitted to IEEE Trans. Wireless Communications
- Published
- 2020
- Full Text
- View/download PDF
48. Fundamental results to the weighted Caputo-type differential operator
- Author
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Xiao-Jun Yang, Jian-Gen Liu, Yi-Ying Feng, and Lu-Lu Geng
- Subjects
Diffusion (acoustics) ,Banach fixed-point theorem ,Applied Mathematics ,010102 general mathematics ,Relaxation (iterative method) ,Type (model theory) ,Differential operator ,01 natural sciences ,Nonlinear differential equations ,010101 applied mathematics ,Character (mathematics) ,Linear differential equation ,Applied mathematics ,0101 mathematics ,Mathematics - Abstract
In this letter, we defined a weighted Caputo-type differential operator which was used to character relaxation and diffusion models in two different types. Then, one of the weighted Caputo-type integral operators by solving the related linear differential equation was also defined. Subsequently, we studied their main properties. Lastly, the existence of a unique solution of the related nonlinear differential equation through the Banach fixed point theorem was presented. These basic facts lay a solid foundation for the concrete practice in the future.
- Published
- 2021
49. Battery anomaly and degradation diagnosis for renewable energy plant
- Author
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Yuanchen Ma, Jingjing Zhang, and Lu Geng
- Subjects
Battery (electricity) ,Waste management ,business.industry ,Environmental science ,General Medicine ,Anomaly (physics) ,business ,Degradation (telecommunications) ,Renewable energy - Published
- 2017
50. Identify the Early Predictor of Mortality in Patients with Acute Paraquat Poisoning
- Author
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Wang, Jun, primary, Jiang, Xinrui, additional, Lu, Geng, additional, Zhou, Jiawei, additional, Kang, Jian, additional, and Zhang, Jin-song, additional
- Published
- 2020
- Full Text
- View/download PDF
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