5,316 results on '"PAN Yue"'
Search Results
2. Effect of Low-Temperature Plasma on Cell Wall Metabolism and Softening Characteristics of Xiaobai Apricot
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PAN Yue, LI Tingting, WU Cai’e
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xiaobai apricot ,cold plasma ,cell wall metabolism ,softening ,Food processing and manufacture ,TP368-456 - Abstract
Objective: To investigate the effect of dielectric barrier discharge cold plasma (DBD) treatment on the cell wall metabolism and softening characteristics of Xiaobai apricot during storage. Methods: Xinjiang-grown Xiaobai apricot fruits were treated with DBD for 40 s (voltage of 90 kV), and stored at 4 ℃ and 95% relative humidity for up to 42 days. The contents of cell wall components, cell wall metabolic enzyme activities, and quality indicators of apricot fruits were measured every seven days. Results: DBD treatment improved the quality of apricot, reduced the contents of malondialdehyde (MDA) and hydrogen peroxide, and significantly inhibited cell wall-degrading enzymes. It also delayed the dissolution of pectin and the degradation of cellulose, and inhibited the migration and loss of water in apricot fruits. Transmission electron microscopy (TEM) showed that DBD treatment helped to maintain the cell wall structure, thus making it more uniform and complete. Conclusion: DBD treatment can effectively inhibit the activities of cell wall-degrading enzymes of apricot fruits during storage, thereby enhancing the cell wall structure and delaying fruit softening.
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- 2024
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3. Effect of heat treatment on microstructure and properties of Mg-12Y-1Al alloy
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NIE Jingjing, PAN Yue, YUAN Xing, XIA Xianchao, SUN Jingli, LI Yangxin, YING Tao, and XIAO Lyu
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mg-12y-1al alloy ,heat treatment ,microstructure ,mechanical property ,corrosion behavior ,Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
The microstructure of Mg-12Y-1Al alloy with solution treatment and aging treatment was studied by optical microscope, X-ray diffraction and scanning electron microscope. The mechanical properties of the alloy before and after heat treatment at room temperature and 200 ℃ were analyzed by tensile test, and the corrosion resistance of the alloy before and after heat treatment was tested by electrochemical methods. The results show that the as-cast microstructure of Mg-12Y-1Al alloy is composed of α-Mg matrix, Mg24Y5 phase and Al2Y phase. Mg-12Y-1Al alloy has excellent high-temperature thermal stability. After solution treatment at 520 ℃ for 16 h(T4), the grain size does not increase, and new long period stacking ordered(LPSO) phase forms; the subsequent aging treatment at 225 ℃ for 30 h(T6) has little effect on the microstructure. Compared with the properties at room temperature, the ultimate tensile strength of T4 alloy at 200 ℃ does not decrease, but the elongation increases from 1.3% to 12.5%. Moreover, the corrosion resistance of Mg-12Y-1Al alloy is improved after solution and aging treatment, and the corrosion current density decreases from 2.799×10-5 A/cm2 to 1.551×10-5 A/cm2.
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- 2024
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4. Comparing the effects of pulsed and radiofrequency catheter ablation on quality of life, anxiety, and depression of patients with paroxysmal supraventricular tachycardia: a single-center, randomized, single-blind, standard-controlled trial
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Ying Du, Shanshan Ma, Pan Yue, Ying Xu, Ya Wen, Mingzhu Ji, Lingxiao He, and Dengbin Liao
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Paroxysmal supraventricular tachycardia ,Pulsed field ablation ,Radiofrequency catheter ablation ,Quality of life ,Anxiety ,Depression ,Medicine (General) ,R5-920 - Abstract
Abstract Background Radiofrequency catheter ablation (RFCA) may lead to decreased quality of life (QOL) and increased anxiety and depression in patients with paroxysmal supraventricular tachycardia (PSVT), possibly due to the lack of selectivity of the ablation tissue and the long ablation time. In recent years, pulsed field ablation (PFA) has been used for the first time in China to treat PSVT patients because of its ability to ablate abnormal tissue sites in a precise and transient manner. This study was conducted to compare the effects of PFA and RFCA on QOL and psychological symptoms of PSVT patients. Methods We have designed a single-center, randomized, single-blind, standard-controlled trial. A total of 50 participants who met the eligibility criteria would be randomly allocated into the PFA group or RFCA group in a 1:1 ratio. All participants were assessed using the 36-Item Short-Form Health Survey (SF-36) and the Hospital Anxiety and Depression Scale (HADS) at pre-procedure (T0), post-procedure (T1), and 3 months post-procedure (T2). The SPSS 21.0 software was used to analyze the data through Wilcoxon and Fisher’s exact tests and repeated measures ANOVA. Results Twenty-five in the PFA group and 24 in the RFCA group completed the trial. SF-36: (1) Between-group comparison: At T1, PFA group had significantly higher SF-36 scores on physiological function (PF) and general health (GH) than RFCA group, with a treatment difference of 5.61 points and 18.51 points(P 0.05). (2) Within-group comparison: The HADS scores of the PFA and RFCA groups were statistically significant at T2 compared to T0 and T1 (P
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- 2024
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5. Adsorption Behavior of Sr2+ on Yangjiang Granite
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JIANG Qiao, WANG Yan-hui, CHENG Jian-feng, PAN Yue-long, HONG Tao, BAO Chen-yang, LIU Yu, LENG Yang-chun, WANG Li-tao, and TUO Xian-guo
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sr2+ ,yangjiang granite ,low- and medium-level nuclear waste repository ,adsorption behavior ,Nuclear engineering. Atomic power ,TK9001-9401 ,Chemical technology ,TP1-1185 - Abstract
Studying the adsorption behavior of Yangjiang granite to Sr2+ is very meaningful for the safety assessment of the low- and medium-level nuclear waste repository in Yangjiang. In this study, experimental samples were obtained from the granite rock formations near the low- and medium-level nuclear waste repository in Yangjiang. The static adsorption experiment was performed study the adsorption behavior of Yangjiang surrounding rocks granite on Sr2+. And the effect of contact time, initial concentration, reaction temperature, pH, as well as cation and anion on the adsorption behavior of granite was studied in detail. The physical and chemical compositions of Yangjiang granite were investigated by X-ray diffraction spectra(XRD), X-ray fluorescence spectrometer(XRF), scanning electron microscopy-energy dispersive spectroscopy(SEM-EDS), Fourier transform infrared spectra(FTIR) and Zeta potential analyzer. The characterization studies show the granite surface becomes rough after adsorption. The results of static adsorption experiments indicate that adsorption equilibrium time is about 5 days. The Sr2+ adsorption decreases with the increase of Sr2+ concentration which conforms to the Langmuir isotherm adsorption model and belongs to single-layer adsorption. Under neutral and higher temperature conditions, the adsorption effect is better. The fitting thermodynamic equation suggests that adsorption is a spontaneous endothermic reaction. The ion in groundwater such as Ca2+, Mg2+, Fe3+, NO3- all can inhibit the adsorption of Sr2+ by Yangjiang granite, while CO32- can interfere with adsorption by forming polymers with Sr2+. The results of this study can provide a certain reference for the safety evaluation of the low- and medium-level nuclear waste repository in Yangjiang.
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- 2023
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6. Pacemakers and methylprednisolone pulse therapy in immune-related myocarditis concomitant with complete heart block
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Hu Chunhong, Zhao Lishu, Zhou Chengzhi, Wang Hanping, Jiang Shun, Li Yizheng, Peng Yurong, Deng Chao, Ma Fang, Pan Yue, Shu Long, Huang Yan, Zeng Yue, and Wu Fang
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immune checkpoint inhibitor ,myocarditis ,complete heart block ,pacemaker ,methylprednisolone pulse therapy ,Medicine - Abstract
Immune-related cardiotoxicities are uncommon but potentially fatal. The study aims to evaluate the value of pacemakers and methylprednisolone pulse therapy (MPPT) to patients with immune-related myocarditis concomitant with complete heart block (CHB). We first reviewed medical records of three patients with immune-related myocarditis concomitant with CHB. For the pooled analysis, we searched related cases with immune-related myocarditis in the PubMed database and screened the patients. Clinical characteristics, management, and outcomes were summarized. Our three patients developed immune-related myocarditis concomitant with CHB about 2 weeks after receiving pembrolizumab, and were successfully treated with pacemaker implantation and high-dose steroids (two received MPPT). In the pooled analysis, 21 cases were eligible with an overall fatality rate of 52%. Patients with pacemakers had a fatality rate of 38%, significantly lower than patients without them (38% vs 100%; p = 0.035), particularly the MPPT subgroup (25% vs 100%; p = 0.019). All five patients without pacemakers expired. Among patients with pacemakers, MPPT patients tended to have an inferior rate compared with non-MPPT patients. Timely pacemaker implantation played a crucial role in improving the outcomes of patients with immune-related myocarditis concomitant with CHB. Patients receiving MPPT appeared to have a better prognosis. Additionally, multidisciplinary consultation should be recommended for better management.
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- 2022
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7. Dynamic variation of groundwater level and its influencing factors in typical oasis irrigated areas in Northwest China
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Wang Wenzan, Tian Hao, Yang Guang, Liu Bing, Pan Yue, Ding Guoliang, Xu Xingang, Dan Yier, Cui Mingda, and Gao Yongli
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groundwater level ,variance of contrast coefficient ,path analysis ,shihezi irrigation area ,Geology ,QE1-996.5 - Abstract
It is essential to analyze the dynamic characteristics of regional groundwater levels and their driving factors for the rational development of groundwater in irrigated areas. This article explores the spatial distribution characteristics of the amplitude of groundwater level change in the Shihezi irrigated area by using the ArcGIS interpolation method and contrast coefficient variance method and analyzes the influence factors of dynamic change of groundwater levels by integrating the grey relational degree and path analysis methods and obtaining the sensitivity of each influencing factor to changes in groundwater levels and the relative importance of the influencing factors. The following results are obtained: (1) the groundwater level of the Shihezi irrigated area showed an overall increasing trend from 2012 to 2019, with a fluctuation range of 12.26–14.14 m. The groundwater level in the southeast of the irrigated area showed an upward trend, while the groundwater level in the northwest area showed a downward trend. (2) The groundwater level in the irrigated area first increased, then decreased, and then increased again. The variance of the contrast coefficient in the irrigated area ranged from 0.04 to 11.31, and the fluctuation range of the groundwater level in the central area was higher than that in the northern and southern areas. (3) The irrigated area of cultivated land and evaporation are the main factors affecting groundwater level change in the Shihezi irrigated area. The grey relation analysis shows that the irrigated area of cultivated land has the highest grey correlation degree with the evolution of the groundwater level, which is 0.947, and the average grey correlation index is between 0.74 and 0.95. Path analysis showed that the irrigated area of cultivated land, surface water usage, and evaporation were the main factors affecting groundwater levels. Human activities are one of the main driving forces of groundwater level change, and the research results provide a theoretical basis for the rational utilization and sustainable development of groundwater resources in the Shihezi irrigation area.
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- 2023
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8. Application of machine learning algorithm for predicting gestational diabetes mellitus in early pregnancy†
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Wei Li-Li, Pan Yue-Shuai, Zhang Yan, Chen Kai, Wang Hao-Yu, and Wang Jing-Yuan
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early prediction ,gestational diabetes mellitus ,machine learning algorithm ,random forest regression ,Nursing ,RT1-120 - Abstract
To study the application of a machine learning algorithm for predicting gestational diabetes mellitus (GDM) in early pregnancy.
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- 2021
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9. Modelling Volatilities of High-dimensional Count Time Series with Network Structure and Asymmetry
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Pan, Yue and Pan, Jiazhu
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Statistics - Methodology ,62M10, 91B05 (Primary) 60G60, 60F05 (Secondary) - Abstract
Modelling high-dimensional volatilities is a challenging topic, especially for high-dimensional discrete-valued time series data. This paper proposes a threshold spatial GARCH-type model for high-dimensional count data with network structure. The proposed model can simplify the parameterization by taking use of the network structure in data, and can capture the asymmetry in dynamics of volatilities by adopting a threshold structure. Our model is called Poisson Threshold Network GARCH model, because the conditional distributions are assumed to be Poisson distribution. Asymptotic theory of our maximum-likelihood-estimator (MLE) for the proposed spatial model is derived when both sample size and network dimension go to infinity. We get asymptotic statistical inferences via investigating the week dependence among components of the model and using limit theorems for weekly dependent random fields. Simulations are conducted to test the theoretical results, and the model is fitted to real count data as illustration of the proposed methodology.
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- 2024
10. Measuring Code Efficiency Optimization Capabilities with ACEOB
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Pan, Yue, Shao, Xiuting, and Lyu, Chen
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Computer Science - Software Engineering - Abstract
As Moore's Law gains diminish, software performance and efficiency become increasingly vital. Optimizing code efficiency is challenging, even for professional programmers. However, related research remains relatively scarce, and rigorously assessing models' abilities to optimize code efficiency is fraught with difficulties. In response to this challenge, we first conduct an in-depth analysis of "code patterns" in the model training dataset, meticulously exploring human-written code. Secondly, we define a task for optimizing code efficiency and introduce the Automatic Code Efficiency Optimization Benchmark (ACEOB), which consists of 95,359 pairs of efficient-inefficient code aimed at assessing code efficiency optimization capabilities. To our knowledge, ACEOB is the first dataset specifically targeting Python code efficiency optimization. To evaluate models' ability in optimizing code efficiency, we propose two new metrics: the Isomorphic Optimal Comparison CodeBLEU (IOCCB) metric and the Normalized Performance Index (NPI) metric, to assess the efficiency of model-generated code. We also evaluate several advanced code models, such as PolyCoder and CodeT5, after fine-tuning them on ACEOB and demonstrate that the efficiency of each model improves after introducing the NPI filter. However, it was observed that even ChatGPT does not perform optimally in code efficiency optimization tasks.
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- 2024
11. E-code: Mastering Efficient Code Generation through Pretrained Models and Expert Encoder Group
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Pan, Yue, Lyu, Chen, Yang, Zhenyu, Li, Lantian, Liu, Qi, and Shao, Xiuting
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Computer Science - Software Engineering - Abstract
Context: With the waning of Moore's Law, the software industry is placing increasing importance on finding alternative solutions for continuous performance enhancement. The significance and research results of software performance optimization have been on the rise in recent years, especially with the advancement propelled by Large Language Models(LLMs). However, traditional strategies for rectifying performance flaws have shown significant limitations at the competitive code efficiency optimization level, and research on this topic is surprisingly scarce. Objective: This study aims to address the research gap in this domain, offering practical solutions to the various challenges encountered. Specifically, we have overcome the constraints of traditional performance error rectification strategies and developed a Language Model (LM) tailored for the competitive code efficiency optimization realm. Method: We introduced E-code, an advanced program synthesis LM. Inspired by the recent success of expert LMs, we designed an innovative structure called the Expert Encoder Group. This structure employs multiple expert encoders to extract features tailored for different input types. We assessed the performance of E-code against other leading models on a competitive dataset and conducted in-depth ablation experiments. Results: Upon systematic evaluation, E-code achieved a 54.98% improvement in code efficiency, significantly outperforming other advanced models. In the ablation experiments, we further validated the significance of the expert encoder group and other components within E-code. Conclusion: The research findings indicate that the expert encoder group can effectively handle various inputs in efficiency optimization tasks, significantly enhancing the model's performance.
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- 2024
12. Hidden Charm Decays of $Y(4626)$ in a $D_{s}^{*+}D_{s1}(2536)^{-}$ Molecular Frame
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Yue, Zi-Li, Pan, Yue, and Chen, Dian-Yong
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High Energy Physics - Phenomenology - Abstract
In this work, we investigate the hidden charm decays properties of $Y(4626)$, where $Y(4626)$ is assigned as a $S-$wave $D_{s}^{*+}D_{s1}(2536)^{-}$ molecular state with $J^{PC}=1^{--}$. The partial widths of the processes $Y(4626)\to J/\psi\eta$, $J/\psi\eta^{\prime}$, $\eta_{c}\phi$, and $ \chi_{cJ}\phi,\ (J=\{0,1,2\})$ are estimated by employing the effective Lagrangian approach. The present estimations indicate that the partial widths of the $J/\psi\eta$ and $J/\psi \eta^\prime$ channels are of the order of 1 MeV, while the one of $\chi_{c1}\phi$ is of the order of 0.1 MeV. Thus, we propose to further examine the molecular interpretation of $Y(4626)$ by searching it in the cross sections for the $e^{+}e^{-}\to J/\psi\eta^{(\prime)}$ processes, which should be accessible by the BES III and Belle II., Comment: 8 pages, 5 figures
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- 2024
13. Limit Theorems for Weakly Dependent Non-stationary Random Field Arrays and Asymptotic Inference of Dynamic Spatio-temporal Models
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Pan, Yue and Pan, Jiazhu
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Mathematics - Statistics Theory - Abstract
We obtain the law of large numbers (LLN) and the central limit theorem (CLT) for weakly dependent non-stationary arrays of random fields with asymptotically unbounded moments. The weak dependence condition for arrays of random fields is proved to be inherited through transformation and infinite shift. This paves a way to prove the consistency and asymptotic normality of maximum likelihood estimation for dynamic spatio-temporal models (i.e. so-called ultra high-dimensional time series models) when the sample size and/or dimension go to infinity. Especially the asymptotic properties of estimation for network autoregression are obtained under reasonable regularity conditions.
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- 2024
14. Evidence of P-wave Pairing in K2Cr3As3 Superconductors from Phase-sensitive Measurement
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Zhang, Zhiyuan, Dou, Ziwei, Wang, Anqi, Zhang, Cuiwei, Hong, Yu, Lei, Xincheng, Pan, Yue, Xu, Zhongchen, Xu, Zhipeng, Li, Yupeng, Li, Guoan, Shi, Xiaofan, Guo, Xingchen, Deng, Xiao, Lyu, Zhaozheng, Li, Peiling, Qu, Faming, Liu, Guangtong, Su, Dong, Jiang, Kun, Shi, Youguo, Lu, Li, Shen, Jie, and Hu, Jiangping
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Condensed Matter - Superconductivity ,Condensed Matter - Mesoscale and Nanoscale Physics ,Quantum Physics - Abstract
P-wave superconductors hold immense promise for both fundamental physics and practical applications due to their unusual pairing symmetry and potential topological superconductivity. However, the exploration of the p-wave superconductors has proved to be a complex endeavor. Not only are they rare in nature but also the identification of p-wave superconductors has been an arduous task in history. For example, phase-sensitive measurement, an experimental technique which can provide conclusive evidence for unconventional pairing, has not been implemented successfully to identify p-wave superconductors. Here, we study a recently discovered family of superconductors, A2Cr3As3 (A = K, Rb, Cs), which were proposed theoretically to be a candidate of p-wave superconductors. We fabricate superconducting quantum interference devices (SQUIDs) on exfoliated K2Cr3As3, and perform the phase-sensitive measurement. We observe that such SQUIDs exhibit a pronounced second-order harmonic component sin(2{\phi}) in the current-phase relation, suggesting the admixture of 0- and {\pi}-phase. By carefully examining the magnetic field dependence of the oscillation patterns of critical current and Shapiro steps under microwave irradiation, we reveal a crossover from 0- to {\pi}-dominating phase state and conclude that the existence of the {\pi}-phase is in favor of the p-wave pairing symmetry in K2Cr3As3.
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- 2024
15. COOL-LAMPS VIII: Known wide-separation lensed quasars and their host galaxies reveal a lack of evolution in $M_{\rm{BH}}/M_\star$ since $z\sim 3$
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Cloonan, Aidan P., Khullar, Gourav, Napier, Kate A., Gladders, Michael D., Dahle, Håkon, Rosener, Riley, Sullivan Jr., Jamar, Bayliss, Matthew B., Chicoine, Nathalie, Escapa, Isaiah, Garza, Diego, Garza, Josh, Glusman, Rowen, Gozman, Katya, Horwath, Gabriela, Kisare, Andi, Levine, Benjamin C., Liang, Olina, Malagon, Natalie, Martinez, Michael N., Masegian, Alexandra, Acuña, Owen S. Matthews, Mork, Simon D., Niu, Kunwanhui, Owens, M. Riley, Pan, Yue, Rigby, Jane R., Sharon, Keren, Sierra, Isaac, Stark, Antony A., Sukay, Ezra, Tamargo-Arizmendi, Marcos, Tavangar, Kiyan, Teixeira, Raul, Tsiane, Kabelo, Wagner, Grace, Zaborowski, Erik A., Zhang, Yunchong, and Zhao, Megan
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Astrophysics - Astrophysics of Galaxies - Abstract
Wide-separation lensed quasars (WSLQs) are a rare class of strongly lensed quasars, magnified by foreground massive galaxy clusters, with typically large magnifications of the multiple quasar images. They are a relatively unexplored opportunity for detailed study of quasar host galaxies. The current small sample of known WSLQs has a median redshift of $z\approx 2.1$, larger than most other samples of quasar host galaxies studied to date. Here, we derive precise constraints on the properties of six WSLQs and their host galaxies, using parametric surface brightness fitting, measurements of quasar emission lines, and stellar population synthesis of host galaxies in six WSLQ systems. Our results, with significant uncertainty, indicate that these six hosts are a mixture of star-forming and quiescent galaxies. To probe for co-evolution between AGNs and host galaxies, we model the offset from the `local' ($z=0$) $M_{\rm{BH}}\unicode{x2013}M_\star$ relation as a simple power-law in redshift. Accounting for selection effects, a WSLQ-based model for evolution in the $M_{\rm{BH}}\unicode{x2013}M_\star$ relation has a power-law index of $\gamma_M=-0.42\pm0.31$, consistent with no evolution. Compared to several literature samples, which mostly probe unlensed quasars at $z<2$, the WSLQ sample shows less evolution from the local relation, at $\sim 4\sigma$. We find that selection affects and choices of $M_{\rm{BH}}$ calibration are the most important systematics in these comparisons. Given that we resolve host galaxy flux confidently even from the ground in some instances, our work demonstrates that WSLQs and highly magnified AGNs are exceptional systems for future AGN$\unicode{x2013}$host co-evolution studies., Comment: Submitted to ApJ. 25 pages + 7-page appendix, 12+4 figures. Key results are shown starting with Figure 6. Comments welcome
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- 2024
16. DuA: Dual Attentive Transformer in Long-Term Continuous EEG Emotion Analysis
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Pan, Yue, Liu, Qile, Liu, Qing, Zhang, Li, Huang, Gan, Chen, Xin, Li, Fali, Xu, Peng, and Liang, Zhen
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Computer Science - Human-Computer Interaction ,Computer Science - Artificial Intelligence - Abstract
Affective brain-computer interfaces (aBCIs) are increasingly recognized for their potential in monitoring and interpreting emotional states through electroencephalography (EEG) signals. Current EEG-based emotion recognition methods perform well with short segments of EEG data. However, these methods encounter significant challenges in real-life scenarios where emotional states evolve over extended periods. To address this issue, we propose a Dual Attentive (DuA) transformer framework for long-term continuous EEG emotion analysis. Unlike segment-based approaches, the DuA transformer processes an entire EEG trial as a whole, identifying emotions at the trial level, referred to as trial-based emotion analysis. This framework is designed to adapt to varying signal lengths, providing a substantial advantage over traditional methods. The DuA transformer incorporates three key modules: the spatial-spectral network module, the temporal network module, and the transfer learning module. The spatial-spectral network module simultaneously captures spatial and spectral information from EEG signals, while the temporal network module detects temporal dependencies within long-term EEG data. The transfer learning module enhances the model's adaptability across different subjects and conditions. We extensively evaluate the DuA transformer using a self-constructed long-term EEG emotion database, along with two benchmark EEG emotion databases. On the basis of the trial-based leave-one-subject-out cross-subject cross-validation protocol, our experimental results demonstrate that the proposed DuA transformer significantly outperforms existing methods in long-term continuous EEG emotion analysis, with an average enhancement of 5.28%., Comment: 11 pages, 3 figures
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- 2024
17. A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics
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Magistri, Federico, Läbe, Thomas, Marks, Elias, Nagulavancha, Sumanth, Pan, Yue, Smitt, Claus, Klingbeil, Lasse, Halstead, Michael, Kuhlmann, Heiner, McCool, Chris, Behley, Jens, and Stachniss, Cyrill
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Robotics - Abstract
As the population is expected to reach 10 billion by 2050, our agricultural production system needs to double its productivity despite a decline of human workforce in the agricultural sector. Autonomous robotic systems are one promising pathway to increase productivity by taking over labor-intensive manual tasks like fruit picking. To be effective, such systems need to monitor and interact with plants and fruits precisely, which is challenging due to the cluttered nature of agricultural environments causing, for example, strong occlusions. Thus, being able to estimate the complete 3D shapes of objects in presence of occlusions is crucial for automating operations such as fruit harvesting. In this paper, we propose the first publicly available 3D shape completion dataset for agricultural vision systems. We provide an RGB-D dataset for estimating the 3D shape of fruits. Specifically, our dataset contains RGB-D frames of single sweet peppers in lab conditions but also in a commercial greenhouse. For each fruit, we additionally collected high-precision point clouds that we use as ground truth. For acquiring the ground truth shape, we developed a measuring process that allows us to record data of real sweet pepper plants, both in the lab and in the greenhouse with high precision, and determine the shape of the sensed fruits. We release our dataset, consisting of almost 7000 RGB-D frames belonging to more than 100 different fruits. We provide segmented RGB-D frames, with camera instrinsics to easily obtain colored point clouds, together with the corresponding high-precision, occlusion-free point clouds obtained with a high-precision laser scanner. We additionally enable evaluation ofshape completion approaches on a hidden test set through a public challenge on a benchmark server.
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- 2024
18. Regulation of the intestinal flora: A potential mechanism of natural medicines in the treatment of type 2 diabetes mellitus
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liying he, Fang-Qing Yang, Pan Tang, Ting-Hui Gao, Cai-Xia Yang, Li Tan, Pan Yue, Ya-Nan Hua, Si-Jing Liu, and Jin-Lin Guo
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Diabetes mellitus ,Pathogenesis ,Natural medicines ,Intestinal flora ,Treatment ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Diabetes mellitus comprises a group of heterogeneous disorders, which are usually subdivided into type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM). Both genetic and environmental factors have been implicated in the onset of diabetes. Type 1 diabetes primarily involves autoimmune insulin deficiency. In comparison, type 2 diabetes is contributed by the pathological state of insulin deficiency and insulin resistance. In recent years, significant differences were found in the abundance of microflora, intestinal barrier, and intestinal metabolites in diabetic subjects when compared to normal subjects. To further understand the relationship between diabetes mellitus and intestinal flora, this paper summarizes the interaction mechanism between diabetes mellitus and intestinal flora. Furthermore, the natural compounds found to treat diabetes through intestinal flora were classified and summarized. This review is expected to provide a valuable resource for the development of new diabetic drugs and the applications of natural compounds.
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- 2022
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19. mRNA-seq and miRNA-seq profiling analyses reveal molecular mechanisms regulating induction of fruiting body in Ophiocordyceps sinensis
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Han Zhang, Pan Yue, Xinxin Tong, Jing Bai, Jingyan Yang, and Jinlin Guo
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Medicine ,Science - Abstract
Abstract Ophiocordyceps sinensis has been a source of valuable materials in traditional Asian medicine for over two thousand years. With recent global warming and overharvest, however, the availability of these wild fungi has decreased dramatically. While fruiting body of O. sinensis has been artificially cultivated, the molecular mechanisms that govern the induction of fruiting body at the transcriptional and post-transcriptional levels are unclear. In this study, we carried out both mRNA and small RNA sequencing to identify crucial genes and miRNA-like RNAs (milRNAs) involved in the development of fruiting body. A total of 2875 differentially expressed genes (DEGs), and 71 differentially expressed milRNAs (DEMs) were identified among the mycoparasite complex, the sclerotium (ST) and the fruiting body stage. Functional enrichment and Gene Set Enrichment Analysis indicated that the ST had increased oxidative stress and energy metabolism and that mitogen-activated protein kinase signaling might induce the formation of fruiting body. Integrated analysis of DEGs and DEMs revealed that n_os_milR16, n_os_milR21, n_os_milR34, and n_os_milR90 could be candidate milRNAs that regulate the induction of fruiting body. This study provides transcriptome-wide insight into the molecular basis of fruiting body formation in O. Sinensis and identifies potential candidate genes for improving induction rate.
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- 2021
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20. Identification of geographical origins of Panax notoginseng based on HPLC multi-wavelength fusion profiling combined with average linear quantitative fingerprint method
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Jing Bai, Pan Yue, Qiang Dong, Fang Wang, Chengyan He, Yang Li, and Jinlin Guo
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Medicine ,Science - Abstract
Abstract The aim of this study was to establish a method for geographical origins identification of Panax notoginseng (P. notoginseng) based on abundant chromatographic spectral information. Characteristic fingerprints of P. notoginseng extracts samples were generated by Multi-wavelength Fusion Profiling (MWFP) method based on the HPLC fingerprints established at three wavelengths of 203 nm, 270 nm and 325 nm. The samples grouping results calculated with the averagely linear quantified fingerprint method (ALQFM) and the unsupervised statistical methods based on fusion fingerprints matches with the geographical origins. The Multi-wavelength Fusion Profiling (MWFP) method has been successfully applied to identification of geographical origins of P. notoginseng and shows the advantages compared with single—channel fingerprints. In addition, eight physiologically active components, including four saponins, two flavones and two amino acids, were identified from the most relevant ingredients of P. notoginseng geographical origins by fusion fingerprint-efficacy relationship analysis. Besides the recognized active saponins, other categories of active ingredients such as flavonoids and amino acids should be paid attention to in the producing areas identification or the quality judgment of P. notoginseng.
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- 2021
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21. Research on the Water Production Tracking Method of Horizontal Well in Heavy Oil Reservoir with Bottom Water
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Pan Yue, Wang Kai, Tang Chenyang, Li Ke, and Liu He
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Geology ,QE1-996.5 - Abstract
AbstractAt present, the model of heterogeneous fluid production in horizontal wells in bottom water reservoirs does not comprehensively consider the influence of parameters such as flow, length, and position of each production section, resulting in the distortion of interpretation results. Using the Green function and the Newman product method, this paper derives heterogeneous fluid production in horizontal wells in the bottom water heavy oil reservoir. The Stehfest numerical inversion algorithm was used to obtain the bottom fluid pressure solution of the horizontal well production in the bottom water heavy oil reservoir with the wellbore storage effect and skin effect. By drawing the typical chart of horizontal well test in sections, the new model can be divided into five typical flow stages: wellbore storage stage, transition stage, radial flow stage, linear flow stage, and late stable flow stage. Based on the interpretation of conventional parameters, such as permeability, well storage, and skin effect, the new model can further diagnose the parameters such as liquid production length, liquid production position, and liquid production volume of each horizontal section. The field application examples verify the validity of the research results and broad application prospects.
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- 2022
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22. 3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural Representation
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Zhong, Xingguang, Pan, Yue, Stachniss, Cyrill, and Behley, Jens
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Robotics - Abstract
Building accurate maps is a key building block to enable reliable localization, planning, and navigation of autonomous vehicles. We propose a novel approach for building accurate maps of dynamic environments utilizing a sequence of LiDAR scans. To this end, we propose encoding the 4D scene into a novel spatio-temporal implicit neural map representation by fitting a time-dependent truncated signed distance function to each point. Using our representation, we extract the static map by filtering the dynamic parts. Our neural representation is based on sparse feature grids, a globally shared decoder, and time-dependent basis functions, which we jointly optimize in an unsupervised fashion. To learn this representation from a sequence of LiDAR scans, we design a simple yet efficient loss function to supervise the map optimization in a piecewise way. We evaluate our approach on various scenes containing moving objects in terms of the reconstruction quality of static maps and the segmentation of dynamic point clouds. The experimental results demonstrate that our method is capable of removing the dynamic part of the input point clouds while reconstructing accurate and complete 3D maps, outperforming several state-of-the-art methods. Codes are available at: https://github.com/PRBonn/4dNDF, Comment: 10 pages, CVPR 2024
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- 2024
23. Stellar Metallicities from DECam $u$-band Photometry: A Study of Milky Way Ultra-Faint Dwarf Galaxies
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Pan, Yue, Chiti, Anirudh, Drlica-Wagner, Alex, Ji, Alexander P., Li, Ting S., Limberg, Guilherme, Tucker, Douglas L., and Allam, Sahar
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Astrophysics - Astrophysics of Galaxies - Abstract
We conducted an in-depth analysis of candidate member stars located in the peripheries of three ultra-faint dwarf (UFD) galaxy satellites of the Milky Way: Bo\"otes I (Boo1), Bo\"otes II (Boo2), and Segue I (Seg1). Studying these peripheral stars has previously been difficult due to contamination from the Milky Way foreground. We used $u$-band photometry from the Dark Energy Camera (DECam) to derive metallicities to efficiently select UFD candidate member stars. This approach was validated on Boo1, where we identified both previously known and new candidate member stars beyond five half-light radii. We then applied a similar procedure to Boo2 and Seg1. Our findings hinted at evidence for tidal features in Boo1 and Seg1, with Boo1 having an elongation consistent with its proper motion and Seg1 showing some distant candidate stars, a few of which are along its elongation and proper motion. We find two Boo2 stars at large distances consistent with being candidate member stars. Using a foreground contamination rate derived from the \emph{Besan\c{c}on} Galaxy model, we ascribed purity estimates to each candidate member star. We recommend further spectroscopic studies on the newly identified high-purity members. Our technique offers promise for future endeavors to detect candidate member stars at large radii in other systems, leveraging metallicity-sensitive filters with the Legacy Survey of Space and Time and the new, narrow-band Ca HK filter on DECam., Comment: 25 pages, 13 figures, machine-readable Tables 3, 4, 5 in source. Submitted to ApJ. Comments welcome!
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- 2024
24. Comparative analysis of fatty acid metabolism based on transcriptome sequencing of wild and cultivated Ophiocordyceps sinensis
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Han Zhang, Pan Yue, Xinxin Tong, Tinghui Gao, Ting Peng, and Jinlin Guo
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Ophiocordyceps sinensis ,Wild-grown ,Cultivated ,Transcriptome ,Fatty acid metabolism ,GC-MS ,Medicine ,Biology (General) ,QH301-705.5 - Abstract
Background Ophiocordyceps sinensis is a species endemic to the alpine and high-altitude areas of the Qinghai-Tibet plateau. Although O. sinensis has been cultivated since the past few years, whether cultivated O. sinensis can completely replace wild O. sinensis remains to be determined. Methods To explore the differences of O. sinensis grown in varied environments, we conducted morphological and transcriptomic comparisons between wild and cultivated samples who with the same genetic background. Results The results of morphological anatomy showed that there were significant differences between wild and cultivated O. sinensis, which were caused by different growth environments. Then, a total of 9,360 transcripts were identified using Illumina paired-end sequencing. Differential expression analysis revealed that 73.89% differentially expressed genes (DEGs) were upregulated in O. sinensis grown under natural conditions compared with that grown under artificial conditions. Functional enrichment analysis showed that some key DEGs related to fatty acid metabolism, including acyl-CoA dehydrogenase, enoyl-CoA hydratase, 3-ketoacyl-CoA thiolase, and acetyl-CoA acetyltransferase, were upregulated in wild O. sinensis. Furthermore, gas chromatography-mass spectrometry results confirmed that the fatty acid content of wild O. sinensis was significantly higher than that of cultivated O. sinensis and that unsaturated fatty acids accounted for a larger proportion. Conclusion These results provide a theoretical insight to the molecular regulation mechanism that causes differences between wild and cultivated O. sinensis and improving artificial breeding.
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- 2021
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25. Octenyl Succinic Anhydride-Modified Starch Attenuates Body Weight Gain and Changes Intestinal Environment of High-Fat Diet-Fed Mice
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Jia-Ping Chen, Kuerbanjiang Maierheba, Ying Zhang, Hui Cheng, Binbin Lin, Pan Yue, Le-Hua Wang, Feng-Zhi Liu, Jun-Wen Shi, Zhong-Xiao Wan, Xiao-Ping Wang, Jianteng Xu, Li-Qiang Qin, and Yanjie Bai
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octenylsuccinate starch ,high-fat diet ,fecal short-chain fatty acids ,gut microbiota ,gas chromatography ,16S rDNA sequencing ,Chemical technology ,TP1-1185 - Abstract
Effects of octenylsuccinate (OS) starch on body composition and intestinal environment in high-fat diet-fed mice were investigated. C57BL/6J mice were treated with a regular-fat (RF) diet, a high-fat (HF) diet, or a high-fat diet supplemented with OS starch (HFOSS). Fecal short-chain fatty acids (SCFAs) were quantified using gas chromatography, and the fecal microbiota profile was analyzed by 16S rDNA sequencing. One-way ANOVA and metastats analysis were performed for statistical analysis. After 22 weeks of feeding, mice in the HFOSS group had significantly lower body weight, body fat, liver weight, and cumulative food intake than those in the HF group but higher than that of the RF group. Fecal total SCFA, acetic, propionic, and butyric acid concentrations were significantly higher in the HFOSS group than that in the HF and RF groups. OS starch intervention increased the relative abundance of Parabacteroides, Alistipes, and Ruminiclostridium_5 and decreased that of Tyzzerella, Oscillibacter, Desulfovibrio, and Anaerotruncus compared with the RF and HF groups. The relative abundance of Lachnospiraceae_UCG-006 in the HFOSS group was lower than that in the HF group but higher than that in the RF group. In conclusion, OS starch prevents fat accumulation in high-fat diet-fed mice and might provide potential health benefits due to its fermentability in the gut and its ability to regulate gut microbial community structure.
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- 2022
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26. STAIR: Semantic-Targeted Active Implicit Reconstruction
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Jin, Liren, Kuang, Haofei, Pan, Yue, Stachniss, Cyrill, and Popović, Marija
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Computer Science - Robotics ,Computer Science - Computer Vision and Pattern Recognition - Abstract
Many autonomous robotic applications require object-level understanding when deployed. Actively reconstructing objects of interest, i.e. objects with specific semantic meanings, is therefore relevant for a robot to perform downstream tasks in an initially unknown environment. In this work, we propose a novel framework for semantic-targeted active reconstruction using posed RGB-D measurements and 2D semantic labels as input. The key components of our framework are a semantic implicit neural representation and a compatible planning utility function based on semantic rendering and uncertainty estimation, enabling adaptive view planning to target objects of interest. Our planning approach achieves better reconstruction performance in terms of mesh and novel view rendering quality compared to implicit reconstruction baselines that do not consider semantics for view planning. Our framework further outperforms a state-of-the-art semantic-targeted active reconstruction pipeline based on explicit maps, justifying our choice of utilising implicit neural representations to tackle semantic-targeted active reconstruction problems.
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- 2024
27. PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency
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Pan, Yue, Zhong, Xingguang, Wiesmann, Louis, Posewsky, Thorbjörn, Behley, Jens, and Stachniss, Cyrill
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Computer Science - Robotics ,Computer Science - Computer Vision and Pattern Recognition - Abstract
Accurate and robust localization and mapping are essential components for most autonomous robots. In this paper, we propose a SLAM system for building globally consistent maps, called PIN-SLAM, that is based on an elastic and compact point-based implicit neural map representation. Taking range measurements as input, our approach alternates between incremental learning of the local implicit signed distance field and the pose estimation given the current local map using a correspondence-free, point-to-implicit model registration. Our implicit map is based on sparse optimizable neural points, which are inherently elastic and deformable with the global pose adjustment when closing a loop. Loops are also detected using the neural point features. Extensive experiments validate that PIN-SLAM is robust to various environments and versatile to different range sensors such as LiDAR and RGB-D cameras. PIN-SLAM achieves pose estimation accuracy better or on par with the state-of-the-art LiDAR odometry or SLAM systems and outperforms the recent neural implicit SLAM approaches while maintaining a more consistent, and highly compact implicit map that can be reconstructed as accurate and complete meshes. Finally, thanks to the voxel hashing for efficient neural points indexing and the fast implicit map-based registration without closest point association, PIN-SLAM can run at the sensor frame rate on a moderate GPU. Codes will be available at: https://github.com/PRBonn/PIN_SLAM., Comment: 20 pages
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- 2024
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28. COOL-LAMPS. VII. Quantifying Strong-lens Scaling Relations with 177 Cluster-scale Gravitational Lenses in DECaLS
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Mork, Simon D., Gladders, Michael D., Khullar, Gourav, Sharon, Keren, Chicoine, Nathalie, Cloonan, Aidan P., Dahle, Håkon, Garza, Diego, Glusman, Rowen, Gozman, Katya, Horwath, Gabriela, Levine, Benjamin C., Liang, Olina, Mahronic, Daniel, Manwadkar, Viraj, Martinez, Michael N., Masegian, Alexandra, Acuña, Owen S. Matthews, Merz, Kaiya, Pan, Yue, Sanchez, Jorge A., Sierra, Isaac, Stein, Daniel J. Kavin, Sukay, Ezra, Tamargo-Arizmendi, Marcos, Tavangar, Kiyan, Tu, Ruoyang, Wagner, Grace, Zaborowski, Erik A., and Zhang, Yunchong
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Astrophysics - Astrophysics of Galaxies - Abstract
We compute parametric measurements of the Einstein-radius-enclosed total mass for 177 cluster-scale strong gravitational lenses identified by the ChicagO Optically-selected Lenses Located At the Margins of Public Surveys (COOL-LAMPS) collaboration with lens redshifts ranging from $0.2 \lessapprox z \lessapprox 1.0$ using only two measured parameters in each lensing system: the Einstein radius, and the brightest-cluster-galaxy (BCG) redshift. We then constrain the Einstein-radius-enclosed luminosity and stellar mass by fitting parametric spectral energy distributions (SEDs) with aperture photometry from the Dark Energy Camera Legacy Survey (DECaLS) in the $g$, $r$, and $z$-band Dark Energy Camera (DECam) filters. We find that the BCG redshift, enclosed total mass, and enclosed luminosity are strongly correlated and well described by a planar relationship in 3D space. We also find that the enclosed total mass and stellar mass are correlated with a logarithmic slope of $0.443\pm0.035$, and the enclosed total mass and stellar-to-total mass fraction are correlated with a logarithmic slope of $-0.563\pm0.035$. The correlations described here can be used to validate strong lensing candidates in upcoming imaging surveys -- such as Rubin/Legacy Survey of Space and Time (LSST) -- in which an algorithmic treatment of lensing systems will be needed due to the sheer volume of data these surveys will produce., Comment: 17 pages, 5 figures, 2 tables. Submitted to The Astrophysical Journal. v3: updated authors, formatting, grammar, and references
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- 2024
29. iTRAQ-based comparative proteome analyses of different growth stages revealing the regulatory role of reactive oxygen species in the fruiting body development of Ophiocordyceps sinensis
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Xinxin Tong, Fang Wang, Han Zhang, Jing Bai, Qiang Dong, Pan Yue, Xinyi Jiang, Xinrui Li, Li Wang, and Jinlin Guo
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Ophiocordyceps sinensis ,Comparative proteome analyses ,Fruiting bodydevelopment ,Reactive oxygen species (ROS) ,Medicine ,Biology (General) ,QH301-705.5 - Abstract
In this study, using an isobaric tags for relative and absolute quantitation (iTRAQ ) approach coupled with LC-MS / MS and bioinformatics, the proteomes were analyzed for the crucial three stages covering the fruiting body development of Ophiocordyceps sinensis, including sclerotium (ST), primordium (PR) and mature fruiting body (MF), with a focus on fruiting body development-related proteins and the potential mechanisms of the development. A total of 1,875 proteins were identified. Principal Component Analysis (PCA) demonstrated that the protein patterns between PR and MF were more similar than ST. Differentially accumulated proteins (DAPs) analysis showed that there were 510, 173 and 514 DAPs in the comparisons of ST vs. PR, PR vs. MF and ST vs. MF, respectively. A total of 62 shared DAPs were identified and primarily enriched in proteins related to ‘carbon transport and mechanism’, ‘the response to oxidative stress’, ‘antioxidative activity’ and ‘translation’. KEGG and GO databases showed that the DAPs were enriched in terms of ‘primary metabolisms (amino acid/fatty acid/energy metabolism)’, ‘the response to oxidative stress’ and ‘peroxidase’. Furthermore, 34 DAPs involved in reactive oxygen species (ROS) metabolism were identified and clustered across the three stages using hierarchical clustering implemented in hCluster R package . It was suggested that their roles and the underlying mechanisms may be stage-specific. ROS may play a role in fungal pathogenicity in ST, the fruit-body initiation in PR, sexual reproduction and highland adaptation in MF. Crucial ROS-related proteins were identified, such as superoxide dismutase (SOD, T5A6F1), Nor-1 (T5AFX3), electron transport protein (T5AHD1), histidine phosphotransferase (HPt, T5A9Z5) and Glutathione peroxidase (T5A9V1). Besides, the accumulation of ROS at the three stages were assayed using 2,7-dichlorofuorescin diacetate (DCFH-DA) stanning. A much stronger ROS accumulation was detected at the stage MF, compared to the stages of PR and ST. Sections of ST and fruit-body part of MF were stained by DCFH-DA and observed under the fluorescencemicroscope, showing ROS was distributed within the conidiospore and ascus. Besides, SOD activity increased across the three stages, while CAT activity has a strong increasement in MF compared to the stages of ST and PR. It was suggested that ROS may act in gradient-dependent manner to regulate the fruiting body development. The coding region sequences of six DAPs were analyzed at mRNA level by quantitative real-time PCR (qRT-PCR). The results support the result of DAPs analysis and the proteome sequencing data. Our findings offer the perspective of proteome to understand the biology of fruiting body development and highland adaptation in O. sinensis, which would inform the big industry of this valuable fungus.
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- 2021
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30. Determining the Thermal Conductivity of Clay during the Freezing Process by Artificial Neural Network
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Xiuling Ren, Yanhui You, Qihao Yu, Guike Zhang, Pan Yue, and Mingyang Jin
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Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
Thermal conductivity is an important thermal parameter in engineering design in cold regions. By measuring the thermal conductivity of clay using a transient hot-wire method in the laboratory, the influential factors of the thermal conductivity of soils during the freezing process were analyzed, and a predictive model of thermal conductivity was developed with an artificial neural network (ANN) technology. The results show that the variation of thermal conductivity can be divided into three stages with decreasing temperature, positive temperature stage, transition stage, and negative temperature stage. The thermal conductivity increases sharply in the transition stage. The difference between the thermal conductivity at positive and negative temperature is small when the dry density of the soil specimens is larger than the critical dry density, while the difference is large if the dry density is less than the critical dry density. As the negative temperature decreases, the larger the moisture content of the soil specimens, the larger the increase of thermal conductivity. The effect of initial moisture content on thermal conductivity is more significant than that of dry density and temperature. The change tendency of the thermal conductivity calculated by the established ANN model is basically consistent with that of the laboratory-measured values, indicating that this model can be able to accurately predict the thermal conductivity of the soil specimens in the freezing process.
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- 2021
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31. Study on the Freeze-Thaw Problems in the Winter Construction of the Lianghekou Earth-Core Rockfill Dam and the Countermeasures for Prevention
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Qihao Yu, Xiu-Ling Ren, Pan Yue, Gui-Ke Zhang, Jun-Feng Wang, Yan-Hu Mu, and En-Long Liu
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Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
Winter construction in seasonally frozen soil areas is inevitable. The variation of ambient temperature causes the freeze-thaw of the filling soils and its impact is significant, and whether the countermeasures can be effectively established and adopted is particularly important for the management and control of the construction quality of the project. This paper conducts systematic research based on the winter construction process of the dam core wall of the Lianghekou Hydropower Station, which is the third highest earth-core rockfill dam in the world under construction. The results show that for the construction site in the seasonally frozen soil area, there is a development process of the short-term frozen soils for the filling soils under the environment with low temperature in winter. The soil underwent a high-frequency freeze-thaw process wherein it was frozen at night and completely thawed during the day. During the freezing process, a large number of thin-layered segregated ice developed inside the soil to form a thin-layered or integral cryostructure, which will have an adverse effect on the engineering properties and the quality of the filling soils. And, the field tests demonstrate that the filling compaction degree of the frozen soils is difficult to meet the designed requirements. In order to effectively cope with the adverse effect of the freeze-thaw on the construction quality during the construction process, based on the analysis of the freeze-thaw characteristics of soils and its influence, and the energy exchange process of soils on-site, the principles and methods for establishing the freeze prevention system during the winter construction process are established, and a comprehensive monitoring system suitable for on-site is established in this paper. This research will provide an important reference for the scientific management and efficiency improvement of the winter construction process of the dams in cold regions.
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- 2021
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32. Adverse Birth Outcomes and Maternal Morbidity Among Afro-Latinas and Their Infants: A Systematic Literature Review
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Parra, Alexa, Morales, Vanessa, Lebron, Cynthia N., Potter, JoNell, Pan, Yue, and Santos, Jr, Hudson P.
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- 2024
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33. Testing for Measurement Invariance (MI): Do the Structures of Microaggression, Discrimination, and Resilience Among Black Women Living with HIV Remain the Same Across Time?
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Liu, Jingxin, Feaster, Daniel J., Shahid, Naysha, Lazarus, Kimberly, Boga, Devina J., Willie, Peyton, Juste, Reyanna St., Silva, Maria Fernanda, Adeojo, Layomi, Wright, Mya, Reid, Rachelle, Gonzalez, Stephanie, Madhu, Aarti, Warman, Chelsie, Bolden, Roxana, Pan, Yue, Nelson, C. Mindy, Hlaing, WayWay, Rodriguez, Allan, Alcaide, Maria L., Ironson, Gail, Safren, Steven, Wright, Ian, and Dale, Sannisha K.
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- 2024
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34. Modelling Stochastic Star Formation History of Dwarf Galaxies in GRUMPY
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Pan, Yue and Kravtsov, Andrey
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Astrophysics - Astrophysics of Galaxies - Abstract
We investigate the impact of bursty star formation on several galaxy scaling relations of dwarf galaxies using the $\texttt{GRUMPY}$ galaxy formation model. While this model reproduces the star formation rate (SFR)-stellar mass, stellar mass-gas mass, and stellar mass-metallicity relations, the scatter of these relations in the original model is smaller than observed. We explore the effects of additional stochasticity of SFR on the scaling relations using a model that reproduces the level of SFR burstiness in high-resolution zoom-in simulations. The additional SFR stochasticity increases the scatter in the SFR-stellar mass relation to a level similar to that exhibited by most nearby dwarf galaxies. The most extreme observed starbursting dwarfs, however, require higher levels of SFR stochasticity. We find that bursty star formation increases the scatter in the colour-magnitude distribution (CMD) for brighter dwarf galaxies $(M_V < -12)$ to the observed level, but not for fainter ones for which scatter remains significantly smaller than observed. This is due to the predominant old stellar populations in these faint model galaxies and their generally declining SFR over the past 10 Gyrs, rather than quenching caused by reionization. We examine the possibility that the colour scatter is due to scatter in metallicity, but show that the level of scatter required leads to an overestimation of scatter in the metallicity-mass relation. This illustrates that the scatter of observed scaling relations in the dwarf galaxy regime represents a powerful constraint on the properties of their star formation., Comment: 14 pages, 8 figures, submitted to MNRAS
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- 2023
35. Liveness Detection Competition -- Noncontact-based Fingerprint Algorithms and Systems (LivDet-2023 Noncontact Fingerprint)
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Purnapatra, Sandip, Rezaie, Humaira, Jawade, Bhavin, Liu, Yu, Pan, Yue, Brosell, Luke, Sumi, Mst Rumana, Igene, Lambert, Dimarco, Alden, Setlur, Srirangaraj, Dey, Soumyabrata, Schuckers, Stephanie, Huber, Marco, Kolf, Jan Niklas, Fang, Meiling, Damer, Naser, Adami, Banafsheh, Chitic, Raul, Seelert, Karsten, Mistry, Vishesh, Parthe, Rahul, and Kacar, Umit
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
Liveness Detection (LivDet) is an international competition series open to academia and industry with the objec-tive to assess and report state-of-the-art in Presentation Attack Detection (PAD). LivDet-2023 Noncontact Fingerprint is the first edition of the noncontact fingerprint-based PAD competition for algorithms and systems. The competition serves as an important benchmark in noncontact-based fingerprint PAD, offering (a) independent assessment of the state-of-the-art in noncontact-based fingerprint PAD for algorithms and systems, and (b) common evaluation protocol, which includes finger photos of a variety of Presentation Attack Instruments (PAIs) and live fingers to the biometric research community (c) provides standard algorithm and system evaluation protocols, along with the comparative analysis of state-of-the-art algorithms from academia and industry with both old and new android smartphones. The winning algorithm achieved an APCER of 11.35% averaged overall PAIs and a BPCER of 0.62%. The winning system achieved an APCER of 13.0.4%, averaged over all PAIs tested over all the smartphones, and a BPCER of 1.68% over all smartphones tested. Four-finger systems that make individual finger-based PAD decisions were also tested. The dataset used for competition will be available 1 to all researchers as per data share protocol
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- 2023
36. Interaction of Hydrogen with the Microstructure of AH36 Steel
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Chen, Cui, Li, Weijuan, Zhang, Dazheng, Pang, Qihang, and Pan, Yue
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- 2024
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37. M3C outer loop control strategy based on variable universe fuzzy PI control
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Ma, Xinghe and Pan, Yue
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- 2024
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38. Extreme drought with seasonal timing consistently promotes CH4 uptake through inconsistent pathways in a temperate grassland, China
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Zhang, Wenwen, Pan, Yue, Wen, Fuqi, Fu, Juanjuan, Hao, Yanbin, Hu, Tianming, and Yang, Peizhi
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- 2024
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39. Recent advances via convolutional sparse representation model for pixel-level image fusion
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Pan, Yue, Lan, Tianye, Xu, Chongyang, Zhang, Chengfang, and Feng, Ziliang
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- 2024
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40. Increased Nasal Blimp1 + Treg Cells After Sublingual Immunotherapy Reflect the Efficacy of Treatment in Allergic Rhinitis
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Pan, Yue, Zhang, Xinxin, Geng, Huanting, Yu, Yan, Liu, Jianyong, Li, Menglin, Yang, Huijun, Yuan, Yifang, Xu, Yao, Wu, Yujia, Wu, Geping, Ma, Xingkai, and Cheng, Lei
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- 2024
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41. Redshifting galaxies from DESI to JWST CEERS: Correction of biases and uncertainties in quantifying morphology
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Yu, Si-Yue, Cheng, Cheng, Pan, Yue, Sun, Fengwu, and Li, Yang A.
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Astrophysics - Astrophysics of Galaxies - Abstract
Observations of high-redshift galaxies with unprecedented detail have now been rendered possible with JWST. However, accurately quantifying their morphology remains uncertain due to potential biases and uncertainties. To address this issue, we used a sample of 1816 nearby DESI galaxies, with a mass range of $10^{9.75-11.25}M_{\odot}$, to compute artificial images of galaxies of the same mass located at $0.75\leq z\leq 3$ and observed at rest-frame optical wavelength in CEERS. We analyzed the effects of cosmological redshift on the measurements of Petrosian radius ($R_p$), half-light radius ($R_{50}$), asymmetry ($A$), concentration ($C$), axis ratio ($q$), and S\'ersic index ($n$). Our results show that $R_p$ and $R_{50}$, calculated using non-parametric methods, are slightly overestimated due to PSF smoothing, while $R_{50}$, $q$, and $n$ obtained through model fitting does not exhibit significant biases. We improve the computation of $A$ by incorporating a more accurate noise effect removal procedure. Due to PSF asymmetry, there is a minor overestimation of $A$ for intrinsically symmetric galaxies. However, for intrinsically asymmetric galaxies, PSF smoothing dominates and results in an underestimation of $A$, an effect that becomes more significant with higher intrinsic $A$ or at lower resolutions. Moreover, PSF smoothing also leads to an underestimation of $C$, which is notably more pronounced in galaxies with higher intrinsic $C$ or at lower resolutions. We developed functions based on resolution level, defined as $R_p/$FWHM, for correcting these biases and the associated statistical uncertainties. Applying these corrections, we measured the bias-corrected morphology for the simulated CEERS images and we find that the derived quantities are in good agreement with their intrinsic values -- except for $A$, which is robust only for angularly large galaxies where $R_p/{\rm FWHM}\geq 5$., Comment: 21 pages, 17 figures; A&A in press
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- 2023
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42. Subgraph Stationary Hardware-Software Inference Co-Design
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Behnam, Payman, Tong, Jianming, Khare, Alind, Chen, Yangyu, Pan, Yue, Gadikar, Pranav, Bambhaniya, Abhimanyu Rajeshkumar, Krishna, Tushar, and Tumanov, Alexey
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Computer Science - Distributed, Parallel, and Cluster Computing ,Computer Science - Machine Learning - Abstract
A growing number of applications depend on Machine Learning (ML) functionality and benefits from both higher quality ML predictions and better timeliness (latency) at the same time. A growing body of research in computer architecture, ML, and systems software literature focuses on reaching better latency-accuracy tradeoffs for ML models. Efforts include compression, quantization, pruning, early-exit models, mixed DNN precision, as well as ML inference accelerator designs that minimize latency and energy, while preserving delivered accuracy. All of them, however, yield improvements for a single static point in the latency-accuracy tradeoff space. We make a case for applications that operate in dynamically changing deployment scenarios, where no single static point is optimal. We draw on a recently proposed weight-shared SuperNet mechanism to enable serving a stream of queries that uses (activates) different SubNets within this weight-shared construct. This creates an opportunity to exploit the inherent temporal locality with our proposed SubGraph Stationary (SGS) optimization. We take a hardware-software co-design approach with a real implementation of SGS in SushiAccel and the implementation of a software scheduler SushiSched controlling which SubNets to serve and what to cache in real-time. Combined, they are vertically integrated into SUSHI-an inference serving stack. For the stream of queries, SUSHI yields up to 25% improvement in latency, 0.98% increase in served accuracy. SUSHI can achieve up to 78.7% off-chip energy savings., Comment: 16 pages; MLSYS 2023
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- 2023
43. Strong ferromagnetic fluctuations in a doped checkerboard lattice
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Pan, Yue, Ma, Runyu, and Ma, Tianxing
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Condensed Matter - Strongly Correlated Electrons - Abstract
Using the determinant quantum Monte Carlo method, we study the magnetic susceptibility in the parameter space of the on-site interaction $U$, temperature $T$, electron filling $\avg{n}$, and the frustration control parameter $t^{\prime}$ within the Hubbard model on a two-dimensional checkerboard lattice. It is shown that the system exhibits stable and strong ferromagnetic fluctuations about the electron filling $\avg{n}\ge1.2$ for different $t^{\prime}$, and the ferromagnetic susceptibility is strongly enhanced by the increasing interaction and decreasing tempeture. We also discuss the sign problem to clarify which parameter region is accessible and reliable. Our findings not only demonstrate important implications for modulating magnetism in the checkerboard lattice, but will also provide a theoretical platform for a flat-band model that demonstrates a variety of physical properties., Comment: 6 pages, 6 figures
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- 2023
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44. Zigzag edge ferromagnetism of triangular-graphene-quantum-dot-like system
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Han, Runze, Chen, Jiazhou, Zhang, Mengyue, Gao, Jinze, Xiong, Yicheng, Pan, Yue, and Ma, Tianxing
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Condensed Matter - Mesoscale and Nanoscale Physics ,Condensed Matter - Strongly Correlated Electrons - Abstract
Here, the magnetic susceptibility of a triangular-graphene-quantum-dot-like system was examined by using the determinant quantum Monte Carlo method. We focused on three zigzag edge quantum dots or rings, namely, the triangular graphene quantum ring, bilayer triangular graphene quantum dot, and bilayer triangular graphene quantum ring. The triangular-graphene-quantum-dot-like system exhibited robust edge ferromagnetic behavior, which was independent of size, monolayer or bilayer, or dot or ring shape, according to the numerical results. At half filling, the edge magnetic susceptibility is increased by on-site interactions, especially in the low-temperature region. Spintronics systems may benefit from use of this system due to its robust edge ferromagnetic behavior., Comment: 9 pages, 12 figures, to be published in Physical Review B
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- 2023
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45. First report of anthracnose on Paeonia delavayi caused by Colletotrichum siamense in China
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Pan, Yue, Yang, Guichai, Liu, Jianfu, Wu, Yulan, Xu, Liuwei, Yin, Tai, and Wang, Juan
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- 2024
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46. Dynamic Prediction on Driving Attitude of Tunnel Boring Machine (TBM): An Automated Deep Learning Approach
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Wang, Ziyi, Pan, Yue, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Wu, Wei, editor, Leung, Chun Fai, editor, Zhou, Yingxin, editor, and Li, Xiaozhao, editor
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- 2024
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47. Cogging Torque Prediction Model and Analysis of Permanent Magnet Motor Based on GA-PSO-BP
- Author
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Liang, Chenglong, Yu, Yinquan, Pan, Yue, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Hu, Cungang, editor, and Cao, Wenping, editor
- Published
- 2024
- Full Text
- View/download PDF
48. The scoring system combined with radiomics and imaging features in predicting the malignant potential of incidental indeterminate small (<20 mm) solid pulmonary nodules
- Author
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Qu, Bai-Qiang, Wang, Yun, Pan, Yue-Peng, Cao, Pei-Wei, and Deng, Xue-Ying
- Published
- 2024
- Full Text
- View/download PDF
49. A composite patch loaded with 2-Deoxy Glucose facilitates cardiac recovery after myocardial infarction via attenuating local inflammatory response
- Author
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Xiao, Weizhang, Zhu, Zhen, Yu, Zhiming, Pan, Yue, Xue, Qun, Zhou, Youlang, and Shi, Jiahai
- Published
- 2024
- Full Text
- View/download PDF
50. TetR family regulator AbrT controls lincomycin production and morphological development in Streptomyces lincolnensis
- Author
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Xu, Yurong, Liu, Meng, Zhao, Ruidong, Pan, Yue, Wu, Panpan, Zhang, Chi, Chi, Xiangying, Zhang, Buchang, and Wu, Hang
- Published
- 2024
- Full Text
- View/download PDF
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