12,597 results on '"Li Shuo"'
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2. High-Quality Development of New-Generation Information Technology Industry
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Li Qiaoming, Li Xinxin, Li Shuo, Zhang Xuesong, Liu Chang, Pan Chengkang, and Wang Tiankai
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new-generation information technology industry ,strategic emerging industries ,next-generation communication networks ,quantum information ,artificial intelligence ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
As an important part of strategic emerging industries, the new-generation information technology plays a major leading role in the overall and long-term development of the economy and society. The new-generation information technology industry is also the cornerstone for cultivating new quality productivity, and is an important starting point for opening up new fields and tracks for development and for shaping new momentum and advantages. Based on the implications of the new-generation information technology industry, this study sorts out the global development trend of the new-generation information technology industry, summarizes the current status and development trend of the industry in China, and analyzes the opportunities and challenges faced by the industry. Moreover, focusing on the requirements of high-quality development of the new-generation information technology industry, the study proposes the following countermeasures and suggestions: (1) improving the integrated strategic system and capabilities while adhering to a system engineering thinking; (2) strengthening the research of key core technologies to strengthen the basic capacity of the industry; (3) promoting the integrated and clustered development of industries, highlighting enterprises as the main body; (4) constructing an open innovation ecosystem based on scenario-driven innovation; and (5) promoting the coordinated development of production, education, research, application, and funds to cultivate a high-level talent team.
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- 2024
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3. The role of ultrasonographic findings for PIK3CA-mutated, hormone receptor-positive, human epidermal growth factor receptor-2-negative breast cancer
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Li Shuo, Zhang Qi-Li, and Guo Rui-Jun
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ultrasound features ,pik3ca mutation ,breast cancer ,Medicine - Abstract
To determine whether ultrasound (US) features of breast cancer are associated with Breast Imaging and Reporting Data System molecular subtype, histologic grade, and hormone receptor status as well as to assess the predictive value of these features. Retrospective analysis of the medical records of 220 consecutive patients with invasive breast cancer was reviewed according to the PIK3CA-mutated molecular tumor subtype. US findings of all patients were analyzed. Breast tumors harboring a PIK3CA-mutation were large and exhibited liquefied necrosis and posterior echo attenuation in the nodule. Moreover, such tumors were lobulated and calcified. The aspect ratio of the PIK3CA-mutant was more likely >1. The average nodule elasticity (7.479 ± 0.993 m/s) was measured using US shear wave elastography. Microcalcification was easier to detect inside the nodule using a fluorescence technique. Measurement of the nodule blood flow spectrum showed that the internal blood flow resistance index of nodules was lower than that of other types of breast cancer. The sonographic features of PIK3CA-mutated breast cancers were strongly associated with extensive and liquefied necrosis. The ability to predict molecular subtypes, particularly using US to detect the triple-negative subtype, may play an important role in early management and treatment.
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- 2023
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4. Prone position ventilation and nursing management for a patient with respiratory distress syndrome caused by COVID-19 (1例新型冠状病毒感染致呼吸窘迫综合征患者俯卧位通气法的应用及护理)
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LI Shuyue (李淑悦), LI Ying (李影), REN Yaxing (任亚星), WANG Jing (王晶), CAO Wenjie (曹文杰), LI Han (李涵), YANG Yuwei (杨雨薇), LI Shuo (李硕), HAN Jianping (韩建萍), and FENG Yajing (冯亚静)
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prone position ventilation ,covid-19 ,respiratory distress syndrome ,hypoxemia ,俯卧位通气 ,新型冠状病毒感染 ,呼吸窘迫综合征 ,低氧血症 ,Nursing ,RT1-120 - Abstract
This paper summarized the effect of prone position ventilation and nursing management for a patient with respiratory distress syndrome caused by COVID-19. The compressive nursing assessment, airway management and tube fixation were conducted before using prone position ventilation for therapy. After implementation of prone position ventilation for therapy, efforts had been made to enhance the vital signs monitoring, tube maintenance, airway management, nutrition support and prevention of pressure injuries. (本文总结1例新型冠状病毒感染致呼吸窘迫综合征患者俯卧位通气法的应用效果及护理体会。操作前系统评估患者和完善物品准备, 保持气道通畅和妥善固定管道; 操作后密切监测患者生命体征, 加强导管维护、呼吸道护理和营养支持, 积极预防压力性损伤。)
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- 2023
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5. Engineering and Technical Research on Combined Application of Stormwater Regulation Pond and PP Modular Cistern in Wet Trapped Loess Area
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Liu Zhendong, Li Shuo, Wu Hui, and Yang Kun
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regulating volume ,stormwater modeling ,settlement ,wetting coefficient ,loess characteristics ,68t05 ,Mathematics ,QA1-939 - Abstract
This paper analyzes the engineering characteristics of loess and the factors affecting wet subsidence, briefly outlines the application effect of PP modular cisterns, and combines the two to design a PP modular cistern based on rainwater harvesting. Combined with the analysis of the pre-engineering conditions of the storage tank, propose the treatment method for wet subsidence loess foundations. Design the structure of the storage tank by determining the volume of the tank by comparing the difference between the inlet and outlet flow during the storage time integral. Simulate the modeling of storm floods and the process of emptying stormwater regulating ponds. Evaluate the geologic conditions for the construction of the regulating pond project. Compare the original investigation report with the results of this paper’s test of the engineering foundation’s wet subsidence coefficient. Set different thicknesses of bedding layers and calculate the settlement of the center of the pool under different humidity levels of the loess layer. Simulate the 2.3-hour rainstorm process, analyze the storage volume of the storage pond during the period, and calculate the cumulative storage volume of the storage pond. This project’s foundation loess wet subsidence coefficient is medium, and the actual additional pressure is much smaller than the starting pressure of wet subsidence. It is appropriate to use the soil bedding program (1.6m plain soil bedding layer and then rammed 0.4m thick 2:8 gray soil, with PP module seepage control). Combined with the local hydrological conditions, it is known that the peak present time of the peak outflow from the regulating pond TP =85min, and the volume of the regulating pond is 22543.47 m3.
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- 2024
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6. The construction of modern aesthetic education innovative talent cultivation mode in universities based on big data technology
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Wang Chen and Li Shuo
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big data technology ,scoring matrix ,innovative talent development ,logistic regression ,maximum likelihood function ,91f99 ,Mathematics ,QA1-939 - Abstract
To strengthen the comprehensive literacy of college students and have a correct aesthetic concept, the cultivation of innovative talents in modern college aesthetic education under big data is proposed. The mixed-filtered college aesthetic training data were used to calculate the prediction function, loss function, and regression parameters using a logistic regression model. The training sample probabilities are derived from the maximum likelihood function to predict the unmade scores in the teacher’s scoring matrix, which is trained to fit the original scoring matrix. The behavior of each student is divided into a corresponding label, and the aesthetic education courses with historical preferences of students in the same category are recommended to the target students in that category. By iteratively updating the values of each cluster center one by one, the data with high similarity are clustered into one class, and the distances of all the cluster centers are recalculated to alleviate the data sparsity problem and scalability problem of logistic regression. The information of the training set is used as input data, and the numerical type indicators are used as the basis for judgment to obtain the satisfaction situation of students with the recommended results, and the indicators for visually evaluating the gap between the predicted and real ratings of the system and the accurate and complete data on the cultivation of innovative talents in modern university aesthetic education are counted. The analysis results show that under the big data technology, the physical education courses in colleges and universities carry out the education of the concept of beauty, the innovative form is better, and the percentage of the concept of strength and beauty reaches 69%, strengthening the ability of college students to feel beauty.
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- 2024
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7. Protective effect of equol on bone in postmenopausal rats with nonalcoholic fatty liver disease
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CUI Hanqiang, NI Xiangmin, ZHANG Guiming, XU Zhe, LI Shuo, and WANG Jian
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equol ,postmenopause ,non alcoholic fatty liver disease ,osteoporosis ,insulin-like growth factor-1 ,Medicine (General) ,R5-920 - Abstract
Objective To observe the osteoprotective effect of equol (Eq) on postmenopausal rats with nonalcoholic fatty liver disease (NAFLD), and to explore its underlying mechanism. Methods Forty-eight 6-week-old female Sprague-Dawley (SD) rats were randomly divided into control group, model group, low-, middle- and high-dose Eq groups [20, 40 and 80 mg/(kg·d)], and estradiol intervention group [E2, 0.25 mg/(kg·d)], with 8 rats in each group. The control group was given sham operation and normal diet. The other groups were given ovariectomy (OVX) combined with high-fat diet. After 16 weeks, the body weight and length of rats were measured, BMI and Lee's index were calculated, and the changes of bone mineral density (BMD) and bone microstructure of rats were detected. After anesthesia, the rats were killed to detect the levels of serum estrogen, TNF-α and IL-6. The liver and femur tissues were observed for morphological changes, and the expression of insulin-like growth factor-1 (IGF-1) in the liver and bone was detected by Western blotting and qRT-PCR. Results In the model group, BMI and Lee's index were increased significantly, the liver tissue was obviously injured, the estrogen level and BMD were obvioiusly decreased, and the bone microstructure was seriously damaged, suggesting that postmenopausal NAFLD was complicated with obvious bone injury. The treatment of Eq or E2 increased the level of serum estrogen and BMD, decreased BMI, Lee's index and serum TNF-α and IL-6 levels, attenuated steatosis and lipid accumulation in bone microstructure, and enhanced the expression of IGF-1 at protein and mRNA level in the liver and bone. Conclusion Eq can improve the bone injury of postmenopausal NAFLD rats and shows a bone protective effect. The mechanism may partially be related to Eq promoting the expression of IGF-1 and reducing inflammation. x
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- 2023
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8. A mathematical approach for modeling the blood flow containing nanoparticles by employing the Buongiorno’s model
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Li Shuo, Ahmad Sohail, Ali Kashif, Hassan Ahmed M., Hamali Waleed, and Jamshed Wasim
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hybrid nanofluid ,blood flow ,darcy–forchheimer medium ,pressure gradient ,fully implicit scheme ,Technology ,Chemical technology ,TP1-1185 ,Physical and theoretical chemistry ,QD450-801 - Abstract
A mathematical model has been suggested for the numerical study of blood flow in a vessel due to the pumping action of the heart. Blood is assumed to contain some impurities in the form of chemically reactive species (undergoing a first-order irreversible reaction) and, being a hybrid nanofluid, also contains the nano-sized solid particles, thus forming a homogeneous mixture which is subjected to a pressure gradient (of trigonometric nature) in the horizontal direction. Human vessel is subjected to a transverse magnetic field and is presumed to be filled with plaque which is considered as a porous medium, and is mathematically modeled by applying the Darcy–Forchheimer theory. The nonlinear nature of the governing equations steered toward the decision of using the numerical approach to obtain the solution of the governing system, which led to the discovery of a linear concentration variation across the vessel at higher values of the Reynolds number. Finally, a 38% rise in the heat transfer has been noted due to the presence of solid particles in the human blood.
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- 2023
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9. Effects of equol on apoptosis and proliferation of osteoblast through PI3K/AKT pathway in high glucose and high fat environment
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LI Shuo, NI Xiangmin, XU Zhe, ZHU Wenyi, LIANG Xinyu, and WANG Jian
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equol ,high-glucose and high-fat ,osteoblasts ,apoptosis ,proliferation ,Medicine (General) ,R5-920 - Abstract
Objective To explore the effect and mechanism of equol(Eq) on the proliferation and apoptosis of osteoblasts in high-glucose and high-fat environment. Methods High-glucose and high-fat model of ROS17/2.8 osteoblasts was established, and cells were divided into the control group (C group) and the model group (M group), the Eq-7 group (1×10-7mol/L Eq), the Eq-6 group(1×10-6mol/L Eq) and the Eq-5 group(10-5mol/L Eq). CCK-8 assay and HE staining was used to detect the viability and morphology of osteoblasts; Flow cytometry was used to test the apoptosis and cell cycle; Western blotting was used to detect the phosphorylation of PI3K/AKT signaling pathway and expression of associated proteins of osteoblasts. PI3K inhibitor was added to confirm the role of PI3K/AKT signaling pathway in the osteoprotective effect of Eq. Results Compared with the C group, the cell structure of the M group was significantly damaged, the cell survival rate, proportion of S phase of cell cycle, the degree of phosphorylation of PI3K/AKT pathway, the expression of Cyclin D1 and Bcl-2 in the M group decreased, while cell inhibition rate, cell apoptosis, proportion of G1 phase of cell cycle, the expression of Bax and cleaved caspase-3 of the M group increased (P < 0.05); Compared with the M group, the Eq groups had increased cell survival rate, decreased cell inhibition rate, enhanced fraction of osteoblast in the S phase and decreased osteoblast apoptosis rate(P < 0.05). Eq treatment enhanced the phosphorylation of PI3K/AKT pathway of osteoblasts and increased expression level of Cyclin D1 and Bcl-2 protein and decreased expression of Bax and cleaved caspase-3 (P < 0.05). The intervention effect of Eq enhanced with the increase of concentration of Eq. However, this regulatory effect of Eq almost disappeared after co-administration of PI3K inhibitor. Conclusion Eq can reduce the apoptosis and promote the proliferation of osteoblasts in the high-glucose and high-fat environment by activating the PI3K/AKT pathway.
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- 2023
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10. Equol intervention ameliorates steatosis in HepG2 cells induced by sodium oleate
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ZHANG Guiming, NI Xiangmin, CUI Hanqiang, XU Zhe, and LI Shuo
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equol ,hepg2 cells ,sodium oleate ,steatosis ,Medicine (General) ,R5-920 - Abstract
Objective To observe the effect of equol (Eq) intervention on sodium oleate (NaOL)-induced steatosis in HepG2 cells and study its mechanism of action. Methods HepG2 cells were treated with different concentrations of NaOL (0, 0.12, 0.24, 0.36, 0.48, 0.60 and 0.72 mmol/L) for 48 h to induce cell steatosis. Oil red O staining was used to observe the accumulation of intracellular lipid droplets, and triglyceride (TG) content was measured. CCK-8 assay was employed to determine the optimal concentration of NaOL in the inducement of hepatic steatosis and the concentration range for Eq intervention. Then HepG2 cells were randomly divided into 6 groups: control group, NaOL group, NaOL+low-, medium- and high-dose Eq groups (10-7, 10-6, and 10-5 mol/L), NaOL+estradiol intervention group (E2, 10-7 mol/L). After Eq intervention for 48 h, cellular TG content was detected, and Oil red O staining was adopted to observe the accumulation of intracellular lipid droplets, and the expression of SREBP-1c, FAS, PPARα and CPT-1A at mRNA and protein levels was detected by qRT-PCR and Western blotting, respectively. Results NaOL of 0.24 mmol/L showed no significant effect on the viability of HepG2 cells, but significantly increased intracellular TG content and accumulated a large number of lipid droplets. Compared with the NaOL group, Eq or E2 intervention reduced the intracellular lipid droplet accumulation in HepG2 cells induced by NaOL, significantly decreased the intracellular TG content (P
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- 2023
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11. S-Equol improves type 2 diabetes mellitus combined with nonalcoholic fatty liver disease by regulating SREBP pathway and PPARγ in rats
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XU Zhe, NI Xiangmin, LI Shuo, ZHANG Guiming, CUI Hanqiang, and WANG Jian
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s-equol ,rat ,type 2 diabetes ,non-alcoholic fatty liver disease ,Medicine (General) ,R5-920 - Abstract
Objective To analyze the effects of S-Equol on glucose and lipid metabolism in rats with type 2 diabetes mellitus (T2DM) and nonalcoholic fatty liver disease (NAFLD). Methods Fifty SD rats aged 6 weeks were randomly divided into the control group (n=10) and the modeling group (n=40) after 1 week's adaptive feed. The modeling group was given high-fat and high-sugar diet combined with streptozotocin (STZ) intrabdominal injection to construct T2DM model. Rats whose fasting blood-glucose (FBG) level was greater than 11.1 mmol/L were randomly divided into the 4 groups: the model group, the S-Equol low-dose group(20 mg·kg-1·d-1), the S-Equol medium-dose group(40 mg·kg-1·d-1)and the S-Equol high-dose group(80 mg·kg-1·d-1). After 12 weeks of intervention, the level of serum total cholesterol (TC), triglyceride (TG), FBG, high density lipoprotein (HDL), low density lipoprotein (LDL), total bilirubin (TBIL), direct bilirubin (DBIL), total protein (TP), albumin (Alb) and globulin (Glb) were detected. Serum alanine aminotransferase (ALT), aspartate aminotransferase (AST) and liver interleukin-1β (IL-1β), interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) were detected by ELISA. Peroxisome proliferator-activated receptor gamma (PPARγ), acetyl-CoA carboxylase (ACC), sterol regulatory element binding protein-1 (SREBP-1) and fatty acid synthetase (Fasn) expression levels related to lipid metabolism were detected by Western blotting and RT-qPCR. Results Compared with the model group, the S-Equol low-dose group had significantly decreased levels of insulin resistance (P < 0.05), the S-Equol medium-dose group had significantly decreased levels of insulin secretion (P < 0.05), and the S-Equol low-and high-dose groups had obviously decreased levels of FBG (P < 0.05); The S-Equol low-dose group had significantly decreased liver index, albumin/globulin ratio (A/G) and LDL (P < 0.05), and the S-Equol medium-dose group had significantly decreased DBIL and ALT (P < 0.05). Compared with the model group, the histological morphology of liver in the S-Equol low-, medium- and high-dose groups improved and the area of liver lipid deposition decreased obviously (P < 0.05), and the S-Equol medium-dose group and the high-dose group had reduced liver inflammation (P < 0.05). The results of Western blotting showed the expression of PPARγ and ACC in liver tissue of rats was significantly down-regulated by medium- and high-dose S-Equol intervention (P < 0.05). The results of RT-qPCR showed that S-Equol intervention significantly could reduce the transcription levels of ACC, SREBP-1, Fasn and PPARγ in liver tissue of rats (P < 0.05). Conclusion The intervention of S-Equol can reduce liver lipid deposition, lipid metabolism-related molecule expression and inflammation in T2DM rats with NAFLD, and the mechanism may be related to regulating SREBP pathway and PPARγ expression.
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- 2022
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12. Effect of equol intervention on high-fat diet-induced non-alcoholic fatty liver disease in ovariectomized rats
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ZHANG Guiming, NI Xiangmi, CUI Hanqiang, XU Zhe, LI Shuo, and WANG Jian
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equol ,high-fat diet ,ovariectomized rat ,non-alcoholic fatty liver disease ,inflammatory factors ,Medicine (General) ,R5-920 - Abstract
Objective To determine the effect of equol (Eq) intervention on high-fat diet-induced non-alcoholic fatty liver disease (NAFLD) in ovariectomized rats and investigate its mechanism of action. Methods Sixty 5-week-old female SD rats were randomly divided into 6 groups: sham group, ovariectomized+high-fat diet (OVX +HFD) group, OVX+HFD+low-, medium-, and high-dose Eq groups [20, 40 and 80 mg/(kg·d) Eq], and OVX+ HFD+estradiol group [E2, 0.25 mg/(kg·d)], with 8 rats in each group. After 12 weeks of intervention, the rats were sacrificed and sampled. The liver index was calculated and the serum levels of blood lipid TG, TC, HDL-C, LDL-C, FFA, liver function in indicators ALT, AST, inflammatory factors TNF-α, IL-6, estrogen, fasting insulin (FINS), fasting plasma glucose (FPG) and liver contents of TG, TC, TNF-α and IL-6 were detected. HE staining was used to observe the morphology of liver tissue. qRT-PCR and Western blotting was employed to detect the mRNA expression of TNF-α and IL-6 and the protein levels of NF-κB p-p65 in the liver tissues, respectively. Results Compared with the sham group, the OVX+HFD group had significantly decreased serum estrogen level (P < 0.05) and obvious hepatic steatosis, dyslipidemia, abnormal liver function and increased levels of inflammatory factors. Eq or E2 intervention resulted in notably increased serum estrogen and HDL-C levels, and remarkably reduced serum TG, TC, HDL-C, LDL-C, FFA, ALT, AST, TNF-α and IL-6 levels (P < 0.05), down-regulated expression of NF-κB p-p65, TNF-α and IL-6 in the liver tissues (P < 0.05), and certain improvements in steatosis of liver tissues when compared with the OVX+HFD group. Conclusion Eq intervention can effectively ameliorate high-fat diet-induced NAFLD in ovariectomized rats, and the mechanism may be partially associated with its inhibition on expression of inflammatory factors.
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- 2022
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13. Offshore wind power digital twin modeling system for intelligent operation and maintenance applications
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Zhang Ernu, Shen Feng, Liu Siguang, Chen Gang, Zhang Fuguo, and Li Shuo
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Environmental sciences ,GE1-350 - Abstract
Offshore wind power operates in a complex and harsh environment, while turbines continue to develop in the direction of large capacity and scale. Therefore, offshore wind power increasingly needs to reduce the overall operation and maintenance costs and improve the operation and control level of individual turbines and wind farms. Digital twin technology is intelligent, efficient and visual, and can provide intelligent services such as data analysis, fault diagnosis, performance evaluation and optimization suggestions for offshore wind power operation and maintenance. Relying on the digital twin five-dimensional model and its based prognostics health management method, a set of offshore wind power digital twin modeling system is deployed through the construction of data governance and maintenance fault recognition process. The system realizes the operation analysis and optimization of wind turbines, as well as the diagnosis and early warning of key equipment and field groups of wind turbines, which improves the management and control level of offshore wind power, improves the quality of operation and maintenance, optimizes the arrangement of offshore tasks, and reduces the cost of operation and maintenance. In the future, the system has great application prospects in predictive maintenance, quality improvement, efficient operation and maintenance of offshore wind power, providing support for the development of intelligent operation and maintenance of offshore wind power.
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- 2024
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14. Detergents and alternatives in cryo-EM studies of membrane proteins
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Li Shuo
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detergent ,micelle ,nanodiscs ,cryo-EM ,membrane protein ,Biochemistry ,QD415-436 ,Genetics ,QH426-470 - Abstract
Structure determination of membrane proteins has been a long-standing challenge to understand the molecular basis of life processes. Detergents are widely used to study the structure and function of membrane proteins by various experimental methods, and the application of membrane mimetics is also a prevalent trend in the field of cryo-EM analysis. This review focuses on the widely-used detergents and corresponding properties and structures, and also discusses the growing interests in membrane mimetic systems used in cryo-EM studies, providing insights into the role of detergent alternatives in structure determination.
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- 2022
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15. Renal protective effect of equol on type 2 diabetic rats
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LI Shuo, NI Xiangmin, XU Zhe, ZHANG Guiming, CUI Hanqiang, and WANG Jian
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equol ,type 2 diabetes mellitus ,kidney ,oxidative stress ,inflammatory response ,nuclear factor e2 related factor 2 ,Medicine (General) ,R5-920 - Abstract
Objective To investigate the effect of equol (Eq) on oxidative stress and inflammatory factors in renal tissue in type 2 diabetes mellitus (T2DM) rats, and explore the possible mechanism in the process. Methods Fifty SD rats aged 6 weeks were selected, and 40 of them were given high-fat and high-sugar diet combined with intraperitoneal injection of streptozotocin to establish T2DM rat model, and finally 34 out of 40 were successfully modeled. The rats from the control group (n=10) was fed with ordinary diet, and the T2DM rats were further divided into model group (n=9), and low-(n=9), medium-(n=8) and high-dose (n=8) Eq intervention groups (gavage intervention of 20, 40 and 80 mg/kg Eq, respectively). After 12 consecutive weeks of intervention, serum creatinine (CREA), blood urea nitrogen (BUN), uric acid (UA), and levels of renal oxidative stress and inflammatory factors were detected in each group of rats. HE and PAS stainings were adopted to reveal the histological changes of renal tissue. Western blotting and RT-PCR were performed to determine the activation or inhibition of nuclear factor erythroid 2-related factor 2 (Nrf2)/heme oxygenase 1 (HO-1) pathway in renal tissue. Results As compared with the control group, the serum levels of CREA, BUN and UA were significantly increased in the T2DM model group (P < 0.05), and the levels of oxidative stress and inflammation indicators such as malondialdehyde (MDA) and TNF-α in renal tissue were remarkably elevated as well (P < 0.05). The results of HE and PAS stainings showed increased glomerular volume and mesangial matrix, thickened basement membrane of renal capsule, atrophy of renal tubules and dilation of lumen in the model group. Moreover, the protein and mRNA levels of total Nrf2 and HO-1, as well as the expression of nuclear Nrf2 protein were all greatly reduced (P < 0.05). In comparison with the model group, the serum levels of CREA, BUN and UA in the 3 Eq intervention groups were significantly decreased (P < 0.05), levels of oxidative stress and inflammation indexes in renal tissue were reduced (P < 0.05), and the damage of renal microstructure was notably improved. In addition, the protein and mRNA expression of total Nrf2 and HO-1, and nuclear Nrf2 protein level were obviously enhanced (P < 0.05). There was no statistical difference among Eq intervention groups. Conclusion Eq reduces the levels of oxidative stress and inflammatory factors in the renal tissue of T2DM rats, exerting a protective effect on the kidney, in which Nrf2/HO-1 pathway may play an important role.
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- 2022
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16. Mechanical characteristics of high-performance hybrid fiber concrete shaft lining in drainage settlement ground
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LI Shuo, LUO Yunjun, QIN Bendong, LIU Shaofeng, GUO Jiaqi, and LIU Xiliang
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concrete shaft lining ,fiber reinforced concrete ,numerical calculation ,deep topsoil layer ,shaft linings rupture ,Mining engineering. Metallurgy ,TN1-997 - Abstract
In order to solve the problem of concrete shaft support in deep topsoil layer, ANSYS finite element software was used to compare and analyze the deformation and stress of hybrid fiber high-strength concrete shaft and ordinary high-strength concrete shaft when the thickness of topsoil layer varied from 200 m to 600 m. The calculation results show that: the strain of mixed fiber concrete shaft is greater than that of ordinary concrete shaft under the same stress, and the fiber can improve the brittleness of shaft; the maximum circumferential stress on shaft increases with the increase of topsoil layer thickness, and increases gradually from outside to inside along the shaft radial direction, and the circumferential strain is always compressive strain and the inner surface is greater than the outer surface. As the burial depth increases, the deformation of shaft changes from mainly axial deformation to mainly radial deformation; finally, the regression equation of the relationship between stress-strain and thickness of topsoil layer is given, which can guide the engineering practice.
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- 2022
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17. Considerations and practice of establishment of a specialized Traditional Chinese Medicine nursing outpatient service model (专科中医护理门诊服务模式建设的思考与实践)
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LIANG Qiuhui (梁秋会), CAO Yanxia (曹艳霞), WANG Xiujun (王秀均), WANG Jing (王敬), JI Yingxia (季英霞), WANG Jingyun (王静云), CHEN Yixiu (陈一秀), and LI Shuo (李硕)
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specialty ,traditional chinese medicine nursing outpatient ,service model ,management ,core competence ,专科 ,中医护理门诊 ,服务模式 ,管理 ,核心竞争力 ,Nursing ,RT1-120 - Abstract
This paper explored the establishment practice of a specialized Traditional Chinese Medicine(TCM) nursing outpatient service model, and summarize the characteristics of advanced practical service in TCM nursing outpatient service. By establishing the role of TCM nursing outpatient nurses, clarifying the characteristics of nursing practice activities dominated by nurse specialists of TCM nursing treatment, forming an integrated service model of specialized medical care, strengthening the quality management of TCM nursing outpatient services, and doing a good job in training and assessment of outpatient nurses' core competencies, great efforts have been made to continuously enrich the connotation of quality nursing services with TCM nursing characteristics, accelerate the establishment of TCM nursing service system, and promote the process of nursing specialization, which plays a positive role in promoting the long-term sustainable development of TCM nursing specialties, and is worthy of being performed exploration and practice by nursing managers and clinical nursing staff with specialty work experience. (本文探讨了专科中医护理门诊服务模式的建设, 总结中医护理门诊高级实践服务特点。通过确立中医护理门诊护士的角色作用, 明确中医护理治疗专科护士主导下的护理实践活动的特点, 形成专科医护一体化服务模式, 加强中医护理门诊服务质量管理, 做好出诊护士核心能力培训考核等, 不断丰富中医护理特色的优质护理服务内涵, 加快中医护理服务体系的建立, 促进护理专科化进程, 对中医护理专科的长期可持续发展有着积极的推动作用, 值得广大护理管理者和具备专科工作经验的临床护理人员去开拓和实践。)
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- 2022
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18. Nursing management for a patient with erysipelas infection leads to sepsis combined with multiple organ dysfunction syndromes (1例丹毒感染致脓毒症合并多功能脏器衰竭患者的护理体会)
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ZHOU Jie (周洁), REN Yaxing (任亚星), TANG Ling (唐玲), LI Ye (李野), ZHANG Jing (张敬), ZHANG Tingting (张婷婷), LIU Huan (刘欢), LI Shuo (李硕), GAO Chunli (高春利), and DONG Ying (董樱)
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erysipelas ,sepsis ,multiple organ dysfunction syndromes ,non-invasive ventilation ,rescue ,fever ,丹毒 ,脓毒症 ,多功能脏器衰竭 ,无创通气 ,抢救 ,发热 ,Nursing ,RT1-120 - Abstract
This paper reviewed nursing management for a patient with erysipelas infection leads to sepsis combined with multiple organ dysfunction syndromes. A comprehensive treatment including anti-infective therapy, diuretic treatment, cardiac medication and circulation function treatment and related nursing management was carried out. Targeted nursing strategies including non-invasive ventilation nursing, medication care and fluid-management, fever nursing, catheter maintenance, skin care were carried out to ensure the therapeutic efficacy and symptom relieving. (本文总结1例丹毒感染致脓毒症合并多功能脏器衰竭患者的护理措施, 在给予抗感染、利尿、强心、维持循环功能治疗的同时还要加强护理, 从无创通气护理、用药监护及液体管理、发热护理、管路护理、皮肤护理等方面给予以针对性护理干预, 确保有效改善患者症状。)
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- 2021
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19. Two plaquette-singlet phases in the Shastry-Sutherland compound SrCu2(BO3)2
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Cui, Yi, Du, Kefan, Wu, Zhanlong, Li, Shuo, Yang, Pengtao, Chen, Ying, Xu, Xiaoyu, Chen, Hongyu, Li, Chengchen, Liu, Juanjuan, Wang, Bosen, Hong, Wenshan, Li, Shiliang, Xie, Zhiyuan, Cheng, Jinguang, Yu, Rong, and Yu, Weiqiang
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Condensed Matter - Strongly Correlated Electrons - Abstract
The nature of the high-pressure plaquette-singlet (PS) phase of SrCu$_2$(BO$_3$)$_2$ remains enigmatic. In this work, we revisit the high-pressure $^{11}$B NMR study and identify two distinct coexisting gapped PS states within the NMR spectra. In addition to the previously reported full-plaquette phase, a second PS phase is discerned, characterized by a slightly lower resonance frequency and larger spin-lattice relaxation rates in its ordered phase. Notably, this second phase exhibits enhanced spin fluctuations in its precursor liquid state above the transition temperature. The volume fraction of this phase increases significantly with pressure, reaching approximately 70\% at 2.65~GPa. Furthermore, at 2.4~GPa, a field-induced quantum phase transition from the PS phase to an antiferromagnetic phase is observed around 5.5~T, with a scaling behavior of $1/T_1 \sim T^{0.6}$ near the transition field. This behavior suggests a continuous or nearly continuous nature for the field-induced transition. Our findings provide experimental evidence for the long-sought empty-plaquette singlet phase in SrCu$_2$(BO$_3$)$_2$ within the framework of the Shastry-Sutherland model, thus establishing a promising platform for future studies of deconfined quantum criticality in this model system., Comment: 6 pages, 5 figures
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- 2024
20. Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs
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Li, Shuo, Ji, Tao, Fan, Xiaoran, Lu, Linsheng, Yang, Leyi, Yang, Yuming, Xi, Zhiheng, Zheng, Rui, Wang, Yuran, Zhao, Xiaohui, Gui, Tao, Zhang, Qi, and Huang, Xuanjing
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence ,Computer Science - Computation and Language ,Computer Science - Machine Learning - Abstract
In the study of LLMs, sycophancy represents a prevalent hallucination that poses significant challenges to these models. Specifically, LLMs often fail to adhere to original correct responses, instead blindly agreeing with users' opinions, even when those opinions are incorrect or malicious. However, research on sycophancy in visual language models (VLMs) has been scarce. In this work, we extend the exploration of sycophancy from LLMs to VLMs, introducing the MM-SY benchmark to evaluate this phenomenon. We present evaluation results from multiple representative models, addressing the gap in sycophancy research for VLMs. To mitigate sycophancy, we propose a synthetic dataset for training and employ methods based on prompts, supervised fine-tuning, and DPO. Our experiments demonstrate that these methods effectively alleviate sycophancy in VLMs. Additionally, we probe VLMs to assess the semantic impact of sycophancy and analyze the attention distribution of visual tokens. Our findings indicate that the ability to prevent sycophancy is predominantly observed in higher layers of the model. The lack of attention to image knowledge in these higher layers may contribute to sycophancy, and enhancing image attention at high layers proves beneficial in mitigating this issue.
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- 2024
21. A Study of Decay Rate of Bound Negative Muons
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Deng, Jian-Bo, Deng, Miao-Yi, Ma, Shi-Jie, Wang, Rui-Bo, Fan, Qi-Qi, He, Peng-Zhang, He, Yi-Peng, Li, Shuo-Wen, and Hu, Xian-Ru
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High Energy Physics - Phenomenology - Abstract
A number of experiments show that the decay lifetimes of muons bound to atomic nuclei are longer than the decay lifetimes of free muons. In this paper, a scheme of extending quantum mechanics (EQM) is proposed to resolve this problem. The Schr$\ddot{\text{o}}$dinger's equation is obtained to prove the validation of this attempt. The decay ratio of bound muons is also calculated in EQM, and the result is in good agreement with the experimental data., Comment: 5 pages, 1 figure, 2 tables
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- 2024
22. Conformal Structured Prediction
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Zhang, Botong, Li, Shuo, and Bastani, Osbert
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Computer Science - Machine Learning - Abstract
Conformal prediction has recently emerged as a promising strategy for quantifying the uncertainty of a predictive model; these algorithms modify the model to output sets of labels that are guaranteed to contain the true label with high probability. However, existing conformal prediction algorithms have largely targeted classification and regression settings, where the structure of the prediction set has a simple form as a level set of the scoring function. However, for complex structured outputs such as text generation, these prediction sets might include a large number of labels and therefore be hard for users to interpret. In this paper, we propose a general framework for conformal prediction in the structured prediction setting, that modifies existing conformal prediction algorithms to output structured prediction sets that implicitly represent sets of labels. In addition, we demonstrate how our approach can be applied in domains where the prediction sets can be represented as a set of nodes in a directed acyclic graph; for instance, for hierarchical labels such as image classification, a prediction set might be a small subset of coarse labels implicitly representing the prediction set of all their more fine-descendants. We demonstrate how our algorithm can be used to construct prediction sets that satisfy a desired coverage guarantee in several domains., Comment: 14 pages, 12 figures
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- 2024
23. Imaging foundation model for universal enhancement of non-ideal measurement CT
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Liu, Yuxin, Ge, Rongjun, He, Yuting, Wu, Zhan, You, Chenyu, Li, Shuo, and Chen, Yang
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Artificial Intelligence ,Computer Science - Computer Vision and Pattern Recognition - Abstract
Non-ideal measurement computed tomography (NICT), which sacrifices optimal imaging standards for new advantages in CT imaging, is expanding the clinical application scope of CT images. However, with the reduction of imaging standards, the image quality has also been reduced, extremely limiting the clinical acceptability. Although numerous studies have demonstrated the feasibility of deep learning for the NICT enhancement in specific scenarios, their high data cost and limited generalizability have become large obstacles. The recent research on the foundation model has brought new opportunities for building a universal NICT enhancement model - bridging the image quality degradation with minimal data cost. However, owing to the challenges in the collection of large pre-training datasets and the compatibility of data variation, no success has been reported. In this paper, we propose a multi-scale integrated Transformer AMPlifier (TAMP), the first imaging foundation model for universal NICT enhancement. It has been pre-trained on a large-scale physical-driven simulation dataset with 3.6 million NICT-ICT image pairs, and is able to directly generalize to the NICT enhancement tasks with various non-ideal settings and body regions. Via the adaptation with few data, it can further achieve professional performance in real-world specific scenarios. Our extensive experiments have demonstrated that the proposed TAMP has significant potential for promoting the exploration and application of NICT and serving a wider range of medical scenarios.
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- 2024
24. Pointwise order of generalized Hofstadter functions $G, H$ and beyond
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Letouzey, Pierre, Li, Shuo, and Steiner, Wolfgang
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Computer Science - Discrete Mathematics ,Computer Science - Formal Languages and Automata Theory ,Mathematics - Combinatorics ,Mathematics - Number Theory - Abstract
Hofstadter's $G$ function is recursively defined via $G(0)=0$ and then $G(n)=n-G(G(n-1))$. Following Hofstadter, a family $(F_k)$ of similar functions is obtained by varying the number $k$ of nested recursive calls in this equation. We establish here that this family is ordered pointwise: for all $k$ and $n$, $F_k(n) \le F_{k+1}(n)$. For achieving this, a detour is made via infinite morphic words generalizing the Fibonacci word. Various properties of these words are proved, concerning the lengths of substituted prefixes of these words and the counts of some specific letters in these prefixes. We also relate the limits of $\frac{1}{n}F_k(n)$ to the frequencies of letters in the considered words.
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- 2024
25. TSdetector: Temporal-Spatial Self-correction Collaborative Learning for Colonoscopy Video Detection
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Wang, Kaini, Wang, Haolin, Zhou, Guang-Quan, Wang, Yangang, Yang, Ling, Chen, Yang, and Li, Shuo
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Computer Science - Computer Vision and Pattern Recognition - Abstract
CNN-based object detection models that strike a balance between performance and speed have been gradually used in polyp detection tasks. Nevertheless, accurately locating polyps within complex colonoscopy video scenes remains challenging since existing methods ignore two key issues: intra-sequence distribution heterogeneity and precision-confidence discrepancy. To address these challenges, we propose a novel Temporal-Spatial self-correction detector (TSdetector), which first integrates temporal-level consistency learning and spatial-level reliability learning to detect objects continuously. Technically, we first propose a global temporal-aware convolution, assembling the preceding information to dynamically guide the current convolution kernel to focus on global features between sequences. In addition, we designed a hierarchical queue integration mechanism to combine multi-temporal features through a progressive accumulation manner, fully leveraging contextual consistency information together with retaining long-sequence-dependency features. Meanwhile, at the spatial level, we advance a position-aware clustering to explore the spatial relationships among candidate boxes for recalibrating prediction confidence adaptively, thus eliminating redundant bounding boxes efficiently. The experimental results on three publicly available polyp video dataset show that TSdetector achieves the highest polyp detection rate and outperforms other state-of-the-art methods. The code can be available at https://github.com/soleilssss/TSdetector.
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- 2024
26. Universal Medical Image Representation Learning with Compositional Decoders
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Wang, Kaini, Yang, Ling, Zhou, Siping, Zhou, Guangquan, Zhang, Wentao, Cui, Bin, and Li, Shuo
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Visual-language models have advanced the development of universal models, yet their application in medical imaging remains constrained by specific functional requirements and the limited data. Current general-purpose models are typically designed with task-specific branches and heads, which restricts the shared feature space and the flexibility of model. To address these challenges, we have developed a decomposed-composed universal medical imaging paradigm (UniMed) that supports tasks at all levels. To this end, we first propose a decomposed decoder that can predict two types of outputs -- pixel and semantic, based on a defined input queue. Additionally, we introduce a composed decoder that unifies the input and output spaces and standardizes task annotations across different levels into a discrete token format. The coupled design of these two components enables the model to flexibly combine tasks and mutual benefits. Moreover, our joint representation learning strategy skilfully leverages large amounts of unlabeled data and unsupervised loss, achieving efficient one-stage pretraining for more robust performance. Experimental results show that UniMed achieves state-of-the-art performance on eight datasets across all three tasks and exhibits strong zero-shot and 100-shot transferability. We will release the code and trained models upon the paper's acceptance.
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- 2024
27. Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement Learning
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Wang, Xian, Zhou, Jin, Feng, Yuanli, Mei, Jiahao, Chen, Jiming, and Li, Shuo
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Computer Science - Robotics ,Computer Science - Machine Learning - Abstract
Recent innovations in autonomous drones have facilitated time-optimal flight in single-drone configurations and enhanced maneuverability in multi-drone systems through the application of optimal control and learning-based methods. However, few studies have achieved time-optimal motion planning for multi-drone systems, particularly during highly agile maneuvers or in dynamic scenarios. This paper presents a decentralized policy network for time-optimal multi-drone flight using multi-agent reinforcement learning. To strike a balance between flight efficiency and collision avoidance, we introduce a soft collision penalty inspired by optimization-based methods. By customizing PPO in a centralized training, decentralized execution (CTDE) fashion, we unlock higher efficiency and stability in training, while ensuring lightweight implementation. Extensive simulations show that, despite slight performance trade-offs compared to single-drone systems, our multi-drone approach maintains near-time-optimal performance with low collision rates. Real-world experiments validate our method, with two quadrotors using the same network as simulation achieving a maximum speed of 13.65 m/s and a maximum body rate of 13.4 rad/s in a 5.5 m * 5.5 m * 2.0 m space across various tracks, relying entirely on onboard computation., Comment: 7 pages, 6 figures
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- 2024
28. TASL-Net: Tri-Attention Selective Learning Network for Intelligent Diagnosis of Bimodal Ultrasound Video
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Zhao, Chengqian, Yao, Zhao, Hu, Zhaoyu, Xie, Yuanxin, Zhang, Yafang, Wang, Yuanyuan, Li, Shuo, Zhou, Jianhua, Zhou, Jianqiao, Wang, Yin, and Yu, Jinhua
- Subjects
Computer Science - Computer Vision and Pattern Recognition - Abstract
In the intelligent diagnosis of bimodal (gray-scale and contrast-enhanced) ultrasound videos, medical domain knowledge such as the way sonographers browse videos, the particular areas they emphasize, and the features they pay special attention to, plays a decisive role in facilitating precise diagnosis. Embedding medical knowledge into the deep learning network can not only enhance performance but also boost clinical confidence and reliability of the network. However, it is an intractable challenge to automatically focus on these person- and disease-specific features in videos and to enable networks to encode bimodal information comprehensively and efficiently. This paper proposes a novel Tri-Attention Selective Learning Network (TASL-Net) to tackle this challenge and automatically embed three types of diagnostic attention of sonographers into a mutual transformer framework for intelligent diagnosis of bimodal ultrasound videos. Firstly, a time-intensity-curve-based video selector is designed to mimic the temporal attention of sonographers, thus removing a large amount of redundant information while improving computational efficiency of TASL-Net. Then, to introduce the spatial attention of the sonographers for contrast-enhanced video analysis, we propose the earliest-enhanced position detector based on structural similarity variation, on which the TASL-Net is made to focus on the differences of perfusion variation inside and outside the lesion. Finally, by proposing a mutual encoding strategy that combines convolution and transformer, TASL-Net possesses bimodal attention to structure features on gray-scale videos and to perfusion variations on contrast-enhanced videos. These modules work collaboratively and contribute to superior performance. We conduct a detailed experimental validation of TASL-Net's performance on three datasets, including lung, breast, and liver.
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- 2024
29. FlowTrack: Point-level Flow Network for 3D Single Object Tracking
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Li, Shuo, Cui, Yubo, Li, Zhiheng, and Fang, Zheng
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Computer Science - Computer Vision and Pattern Recognition - Abstract
3D single object tracking (SOT) is a crucial task in fields of mobile robotics and autonomous driving. Traditional motion-based approaches achieve target tracking by estimating the relative movement of target between two consecutive frames. However, they usually overlook local motion information of the target and fail to exploit historical frame information effectively. To overcome the above limitations, we propose a point-level flow method with multi-frame information for 3D SOT task, called FlowTrack. Specifically, by estimating the flow for each point in the target, our method could capture the local motion details of target, thereby improving the tracking performance. At the same time, to handle scenes with sparse points, we present a learnable target feature as the bridge to efficiently integrate target information from past frames. Moreover, we design a novel Instance Flow Head to transform dense point-level flow into instance-level motion, effectively aggregating local motion information to obtain global target motion. Finally, our method achieves competitive performance with improvements of 5.9% on the KITTI dataset and 2.9% on NuScenes. The code will be made publicly available soon., Comment: Accepted by IROS2024
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- 2024
30. On the Orthogonality of Generalized Pattern Sequences
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Li, Shuo
- Subjects
Computer Science - Discrete Mathematics ,G.2.0 ,G.2.1 - Abstract
The partial sums of integer sequences that count the occurrences of a specific pattern in the binary expansion of positive integers have been investigated by different authors since the 1950s. In this note, we introduce generalized pattern sequences, which count the occurrences of a finite number of different patterns in the expansion of positive integers in any integer base, and analyze their partial sums., Comment: In Proceedings GASCom 2024, arXiv:2406.14588
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- 2024
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31. An LLM-enhanced Multi-objective Evolutionary Search for Autonomous Driving Test Scenario Generation
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Tian, Haoxiang, Han, Xingshuo, Wu, Guoquan, Zhou, Yuan, Li, Shuo, Wei, Jun, Ye, Dan, Wang, Wei, and Zhang, Tianwei
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Computer Science - Software Engineering - Abstract
The safety of Autonomous Driving Systems (ADSs) is significantly important for the implementation of autonomous vehicles (AVs). Therefore, ADSs must be evaluated thoroughly before their release and deployment to the public. How to generate diverse safety-critical test scenarios is a key task for ADS testing. This paper proposes LEADE, an LLM-enhanced scenario generation approach for ADS testing, which adopts the LLM-enhanced adaptive evolutionary search to generate safety-critical and diverse test scenarios. LEADE leverages LLM's ability in program understanding to better comprehend the scenario generation task, which generates high-quality scenarios of the first generation. LEADE adopts an adaptive multi-objective genetic algorithm to search for diverse safety-critical scenarios. To guide the search away from the local optima, LEADE formulates the evolutionary search into a QA task, which leverages LLM's ability in quantitative reasoning to generate differential seed scenarios to break out of the local optimal solutions. We implement and evaluate LEADE on industrial-grade full-stack ADS platform, Baidu Apollo. Experimental results show that LEADE can effectively and efficiently generate safety-critical scenarios and expose 10 diverse safety violations of Apollo. It outperforms two state-of-the-art search-based ADS testing techniques by identifying 4 new types of safety-critical scenarios on the same roads., Comment: 12 pages
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- 2024
32. The reflection complexity of sequences over finite alphabets
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Allouche, Jean-Paul, Campbell, John M., Li, Shuo, Shallit, Jeffrey, and Stipulanti, Manon
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Mathematics - Combinatorics ,Computer Science - Discrete Mathematics ,Computer Science - Formal Languages and Automata Theory ,05A05, 11B85, 68R15 - Abstract
In combinatorics on words, the well-studied factor complexity function $\rho_{\bf x}$ of a sequence ${\bf x}$ over a finite alphabet counts, for any nonnegative integer $n$, the number of distinct length-$n$ factors of $\mathbf{x}$. In this paper, we introduce the reflection complexity function $r_{\bf x}$ to enumerate the factors occurring in a sequence ${\bf x}$, up to reversing the order of symbols in a word. We introduce and prove general results on $r_{\bf x}$ regarding its growth properties and relationship with other complexity functions. We prove a Morse-Hedlund-type result characterizing eventually periodic sequences in terms of their reflection complexity, and we deduce a characterization of Sturmian sequences. Furthermore, we investigate the reflection complexity of quasi-Sturmian, episturmian, $(s+1)$-dimensional billiard, and complementation-symmetric Rote, and rich sequences. Furthermore, we prove that if ${\bf x}$ is $k$-automatic, then $r_{\bf x}$ is computably $k$-regular, and we use the software $\mathtt{Walnut}$ to evaluate the reflection complexity of automatic sequences, such as the Thue-Morse sequence. We note that there are still many unanswered questions about this measure.
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- 2024
33. Demystifying the Characteristics for Smart Contract Upgrades
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Liu, Ye, Li, Shuo, Wu, Xiuheng, Li, Yi, Chen, Zhiyang, and Lo, David
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Computer Science - Software Engineering - Abstract
Upgradable smart contracts play an important role in the decentralized application ecosystem, to support routine maintenance, security patching, and feature additions. In this paper, we conduct an empirical study on proxy-based upgradable smart contracts to understand the characteristics of contract upgrading. Through our study on 57,118 open source proxy contracts, we found that 583 contracts have ever been upgraded on Ethereum, involving 973 unique implementation contract versions. The results show that developers often intend to improve usability of contracts if upgrading, where functionality addition and update are the most frequent upgrade intentions. We investigated the practical impacts of contract upgrades, e.g., breaking changes causing compatibility issues, storage collisions and initialization risks leading to security vulnerabilities. The results demonstrate that there are 4,334 ABI breaking changes due to the upgrades of 276 proxies, causing real-world broken usages within 584 transactions witnessed by the blockchain; 36 contract upgrades had storage collisions and five proxies with 59 implementation contracts are vulnerable to initialization attacks.
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- 2024
34. Study on Sunshine Stress Effect of Long-Span and Wide Concrete Box Girder
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Wang Cheng, Zhang Chentian, Li Shuo, and Li Jianhua
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Renewable energy sources ,TJ807-830 - Abstract
In order to further clarify the sunshine stress effect of long-span and wide concrete box girder, the study selected a concrete box girder with 4×42 m span and 33.5 m width, formed the temperature field load through a field test and numerical simulation, established a numerical analysis model by using the finite element program of ANSYS, and comprehensively analyzed the longitudinal temperature stress distribution of a long-span and wide concrete box girder under sunshine. The midspan section of the first span of the box girder is selected for field stress measure, and the field measure results and numerical analysis results are compared and analyzed. The research shows that the results of field measurement and numerical simulation are basically consistent. Sunshine temperature has a great influence on long-span and wide concrete box girder, which should be paid enough attention.
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- 2022
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35. Risk Factors for Contralateral Occult Papillary Thyroid Carcinoma in Patients with Clinical Unilateral Papillary Thyroid Carcinoma: A Case-Control Study
- Author
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Liu Yihao, Li Shuo, Xi Pu, Wang Zipeng, Sun Hanlin, Chang Qungang, Wang Yongfei, and Yin Detao
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Diseases of the endocrine glands. Clinical endocrinology ,RC648-665 - Abstract
Introduction. Papillary thyroid cancer (PTC) is one of the most prevalent endocrine malignancies that has increased in recent decades around the world. Although the indicator for navigating the surgical extent in PTC patients is still in debate, a key issue is how to predict that there are undetected preoperative tumors in the contralateral thyroid lobe. This study aims to find risk factors for contralateral occult papillary thyroid cancer (COPTC) to facilitate more accurate surgical decisions made for patients with PTC. Materials and Methods. In our study, we included 229 patients who underwent total thyroidectomy plus central and ipsilateral lateral lymph nodes dissection from January 1, 2019, to September 1, 2021. Univariate and multivariate logistic regression analyses were conducted to assess the association between COPTC and clinical-pathological characteristics, as well as the relation between the diameter of the occult lesions and predictors. The forest plot was plotted to visualize the prediction factors from the output of the multivariate regression analysis. A ROC curve was used to evaluate the combining potency of all the risk factors. Results. Of the 229 patients included in our study, 46 with COPTC were assigned to the case group, representing 20.1% in this study. Multifocality in one lobe (OR = 2.21, P=0.03), intact capsule (OR = 2.54, P=0.01), central lymph node metastasis (OR = 3.00, P=0.02), and Hashimoto’s thyroiditis (OR = 2.08, P = 0.04) are more prone to present contralateral occult papillary thyroid carcinoma. The ROC curve of the aggregate potency of the risk factors presents AUC = 0.701 (P
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- 2022
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36. Crystal structure of the Cu(II) complex chlorido-(6-oxo-2-phenyl-1,6-dihydropyrimidine-4-carboxylato-k2N,O)-(phenanthroline-k2N,N')copper(II), C23H15ClCuN4O3
- Author
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Yang Qi, Hou Meng-Qi, Chen Pei-Rou, Li Shuo, Zhou Guang-Peng, Li Gan, and Chen Dong-Dong
- Subjects
1989185 ,Physics ,QC1-999 ,Crystallography ,QD901-999 - Abstract
C23H15ClCuN4O3, monoclinic, P21/c (no. 14), a = 10.63346(14) Å, b = 17.99387(15) Å, c = 11.60320(16) Å, β = 116.2165(17)°, V = 1991.74(5) Å3, Z = 4, Rgt(F) = 0.0315, wRref(F2) = 0.0898, T = 293(2) K.
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- 2021
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37. Noninvasive Lung Cancer Subtype Classification Using Tumor-Derived Signatures and cfDNA Methylome
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Li, Shuo, Li, Wenyuan, Liu, Bin, Krysan, Kostyantyn, and Dubinett, Steven M
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Cancer Genomics ,Cancer ,Lung Cancer ,Rare Diseases ,Prevention ,Precision Medicine ,Genetics ,Lung ,Human Genome ,4.1 Discovery and preclinical testing of markers and technologies ,Humans ,Lung Neoplasms ,DNA Methylation ,Biomarkers ,Tumor ,Epigenome ,Cell-Free Nucleic Acids ,Male ,Liquid Biopsy ,Female ,Carcinoma ,Squamous Cell ,Adenocarcinoma of Lung ,Aged ,Middle Aged - Abstract
Accurate diagnosis of lung cancer is important for treatment decision-making. Tumor biopsy and histologic examination are the standard for determining histologic lung cancer subtypes. Liquid biopsy, particularly cell-free DNA (cfDNA), has recently shown promising results in cancer detection and classification. In this study, we investigate the potential of cfDNA methylome for the noninvasive classification of lung cancer histologic subtypes. We focused on the two most prevalent lung cancer subtypes, lung adenocarcinoma and lung squamous cell carcinoma. Using a fragment-based marker discovery approach, we identified robust subtype-specific methylation markers from tumor samples. These markers were successfully validated in independent cohorts and associated with subtype-specific transcriptional activity. Leveraging these markers, we constructed a subtype classification model using cfDNA methylation profiles, achieving an AUC of 0.808 in cross-validation and an AUC of 0.747 in the independent validation. Tumor copy-number alterations inferred from cfDNA methylome analysis revealed potential for treatment selection. In summary, our study demonstrates the potential of cfDNA methylome analysis for noninvasive lung cancer subtyping, offering insights for cancer monitoring and early detection.SignificanceThis study explores the use of cfDNA methylomes for the classification of lung cancer subtypes, vital for effective treatment. By identifying specific methylation markers in tumor tissues, we developed a robust classification model achieving high accuracy for noninvasive subtype detection. This cfDNA methylome approach offers promising avenues for early detection and monitoring.
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- 2024
38. Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems
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Zhang, Shengyu, Jiang, Ziqi, Yao, Jiangchao, Feng, Fuli, Kuang, Kun, Zhao, Zhou, Li, Shuo, Yang, Hongxia, Chua, Tat-Seng, and Wu, Fei
- Subjects
Computer Science - Information Retrieval ,Computer Science - Information Theory - Abstract
Recommendation performance usually exhibits a long-tail distribution over users -- a small portion of head users enjoy much more accurate recommendation services than the others. We reveal two sources of this performance heterogeneity problem: the uneven distribution of historical interactions (a natural source); and the biased training of recommender models (a model source). As addressing this problem cannot sacrifice the overall performance, a wise choice is to eliminate the model bias while maintaining the natural heterogeneity. The key to debiased training lies in eliminating the effect of confounders that influence both the user's historical behaviors and the next behavior. The emerging causal recommendation methods achieve this by modeling the causal effect between user behaviors, however potentially neglect unobserved confounders (\eg, friend suggestions) that are hard to measure in practice. To address unobserved confounders, we resort to the front-door adjustment (FDA) in causal theory and propose a causal multi-teacher distillation framework (CausalD). FDA requires proper mediators in order to estimate the causal effects of historical behaviors on the next behavior. To achieve this, we equip CausalD with multiple heterogeneous recommendation models to model the mediator distribution. Then, the causal effect estimated by FDA is the expectation of recommendation prediction over the mediator distribution and the prior distribution of historical behaviors, which is technically achieved by multi-teacher ensemble. To pursue efficient inference, CausalD further distills multiple teachers into one student model to directly infer the causal effect for making recommendations., Comment: TKDE 2023
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- 2024
39. One-Shot Safety Alignment for Large Language Models via Optimal Dualization
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Huang, Xinmeng, Li, Shuo, Dobriban, Edgar, Bastani, Osbert, Hassani, Hamed, and Ding, Dongsheng
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Computer Science - Artificial Intelligence ,Computer Science - Computation and Language ,Computer Science - Machine Learning ,Mathematics - Optimization and Control ,Statistics - Machine Learning - Abstract
The growing safety concerns surrounding Large Language Models (LLMs) raise an urgent need to align them with diverse human preferences to simultaneously enhance their helpfulness and safety. A promising approach is to enforce safety constraints through Reinforcement Learning from Human Feedback (RLHF). For such constrained RLHF, common Lagrangian-based primal-dual policy optimization methods are computationally expensive and often unstable. This paper presents a dualization perspective that reduces constrained alignment to an equivalent unconstrained alignment problem. We do so by pre-optimizing a smooth and convex dual function that has a closed form. This shortcut eliminates the need for cumbersome primal-dual policy iterations, thus greatly reducing the computational burden and improving training stability. Our strategy leads to two practical algorithms in model-based and preference-based scenarios (MoCAN and PeCAN, respectively). A broad range of experiments demonstrate the effectiveness of our methods.
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- 2024
40. Letter frequency vs factor frequency in pure morphic words
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Li, Shuo
- Subjects
Mathematics - Combinatorics - Abstract
We prove that, for any pure morphic word $w$, if the frequencies of all letters in $w$ exist, then the frequencies of all factors in $w$ exist as well. This result answers a question of Saari in his doctoral thesis.
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- 2024
41. JUNO Sensitivity to Invisible Decay Modes of Neutrons
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JUNO Collaboration, Abusleme, Angel, Adam, Thomas, Adamowicz, Kai, Ahmad, Shakeel, Ahmed, Rizwan, Aiello, Sebastiano, An, Fengpeng, An, Qi, Andronico, Giuseppe, Anfimov, Nikolay, Antonelli, Vito, Antoshkina, Tatiana, de André, João Pedro Athayde Marcondes, Auguste, Didier, Bai, Weidong, Balashov, Nikita, Baldini, Wander, Barresi, Andrea, Basilico, Davide, Baussan, Eric, Bellato, Marco, Beretta, Marco, Bergnoli, Antonio, Bick, Daniel, Bieger, Lukas, Biktemerova, Svetlana, Birkenfeld, Thilo, Blake, Iwan, Blyth, Simon, Bolshakova, Anastasia, Bongrand, Mathieu, Breton, Dominique, Brigatti, Augusto, Brugnera, Riccardo, Bruno, Riccardo, Budano, Antonio, Busto, Jose, Cabrera, Anatael, Caccianiga, Barbara, Cai, Hao, Cai, Xiao, Cai, Yanke, Cai, Zhiyan, Callier, Stéphane, Calvez, Steven, Cammi, Antonio, Campeny, Agustin, Cao, Chuanya, Cao, Guofu, Cao, Jun, Caruso, Rossella, Cerna, Cédric, Cerrone, Vanessa, Chang, Jinfan, Chang, Yun, Chatrabhuti, Auttakit, Chen, Chao, Chen, Guoming, Chen, Pingping, Chen, Shaomin, Chen, Xin, Chen, Yiming, Chen, Yixue, Chen, Yu, Chen, Zelin, Chen, Zhangming, Chen, Zhiyuan, Chen, Zikang, Cheng, Jie, Cheng, Yaping, Cheng, Yu Chin, Chepurnov, Alexander, Chetverikov, Alexey, Chiesa, Davide, Chimenti, Pietro, Chin, Yen-Ting, Chou, Po-Lin, Chu, Ziliang, Chukanov, Artem, Claverie, Gérard, Clementi, Catia, Clerbaux, Barbara, Molla, Marta Colomer, Di Lorenzo, Selma Conforti, Coppi, Alberto, Corti, Daniele, Csakli, Simon, Cui, Chenyang, Corso, Flavio Dal, Dalager, Olivia, Datta, Jaydeep, De La Taille, Christophe, Deng, Zhi, Deng, Ziyan, Ding, Xiaoyu, Ding, Xuefeng, Ding, Yayun, Dirgantara, Bayu, Dittrich, Carsten, Dmitrievsky, Sergey, Dohnal, Tadeas, Dolzhikov, Dmitry, Donchenko, Georgy, Dong, Jianmeng, Doroshkevich, Evgeny, Dou, Wei, Dracos, Marcos, Druillole, Frédéric, Du, Ran, Du, Shuxian, Duan, Yujie, Dugas, Katherine, Dusini, Stefano, Duyang, Hongyue, Eck, Jessica, Enqvist, Timo, Fabbri, Andrea, Fahrendholz, Ulrike, Fan, Lei, Fang, Jian, Fang, Wenxing, Fedoseev, Dmitry, Feng, Li-Cheng, Feng, Qichun, Ferraro, Federico, Fournier, Amélie, Fritsch, Fritsch, Gan, Haonan, Gao, Feng, Garfagnini, Alberto, Gavrikov, Arsenii, Giammarchi, Marco, Giudice, Nunzio, Gonchar, Maxim, Gong, Guanghua, Gong, Hui, Gornushkin, Yuri, Grassi, Marco, Gromov, Maxim, Gromov, Vasily, Gu, Minghao, Gu, Xiaofei, Gu, Yu, Guan, Mengyun, Guan, Yuduo, Guardone, Nunzio, Guizzetti, Rosa Maria, Guo, Cong, Guo, Wanlei, Hagner, Caren, Han, Hechong, Han, Ran, Han, Yang, He, Jinhong, He, Miao, He, Wei, He, Xinhai, Heinz, Tobias, Hellmuth, Patrick, Heng, Yuekun, Herrera, Rafael, Hor, YuenKeung, Hou, Shaojing, Hsiung, Yee, Hu, Bei-Zhen, Hu, Hang, Hu, Jun, Hu, Peng, Hu, Shouyang, Hu, Tao, Hu, Yuxiang, Hu, Zhuojun, Huang, Guihong, Huang, Hanxiong, Huang, Jinhao, Huang, Junting, Huang, Kaixuan, Huang, Shengheng, Huang, Wenhao, Huang, Xin, Huang, Xingtao, Huang, Yongbo, Hui, Jiaqi, Huo, Lei, Huo, Wenju, Huss, Cédric, Hussain, Safeer, Imbert, Leonard, Ioannisian, Ara, Isocrate, Roberto, Jafar, Arshak, Jelmini, Beatrice, Jeria, Ignacio, Ji, Xiaolu, Jia, Huihui, Jia, Junji, Jian, Siyu, Jiang, Cailian, Jiang, Di, Jiang, Guangzheng, Jiang, Wei, Jiang, Xiaoshan, Jiang, Xiaozhao, Jiang, Yixuan, Jing, Xiaoping, Jollet, Cécile, Kang, Li, Karaparabil, Rebin, Kazarian, Narine, Khan, Ali, Khatun, Amina, Khosonthongkee, Khanchai, Korablev, Denis, Kouzakov, Konstantin, Krasnoperov, Alexey, Kuleshov, Sergey, Kumaran, Sindhujha, Kutovskiy, Nikolay, Labit, Loïc, Lachenmaier, Tobias, Lai, Haojing, Landini, Cecilia, Leblanc, Sébastien, Lefevre, Frederic, Lei, Ruiting, Leitner, Rupert, Leung, Jason, Li, Demin, Li, Fei, Li, Fule, Li, Gaosong, Li, Hongjian, Li, Huang, Li, Jiajun, Li, Min, Li, Nan, Li, Qingjiang, Li, Ruhui, Li, Rui, Li, Shanfeng, Li, Shuo, Li, Tao, Li, Teng, Li, Weidong, Li, Weiguo, Li, Xiaomei, Li, Xiaonan, Li, Xinglong, Li, Yi, Li, Yichen, Li, Yufeng, Li, Zhaohan, Li, Zhibing, Li, Ziyuan, Li, Zonghai, Liang, An-An, Liang, Hao, Liao, Jiajun, Liao, Yilin, Liao, Yuzhong, Limphirat, Ayut, Lin, Guey-Lin, Lin, Shengxin, Lin, Tao, Ling, Jiajie, Ling, Xin, Lippi, Ivano, Liu, Caimei, Liu, Fang, Liu, Fengcheng, Liu, Haidong, Liu, Haotian, Liu, Hongbang, Liu, Hongjuan, Liu, Hongtao, Liu, Hongyang, Liu, Jianglai, Liu, Jiaxi, Liu, Jinchang, Liu, Min, Liu, Qian, Liu, Qin, Liu, Runxuan, Liu, Shenghui, Liu, Shubin, Liu, Shulin, Liu, Xiaowei, Liu, Xiwen, Liu, Xuewei, Liu, Yankai, Liu, Zhen, Loi, Lorenzo, Lokhov, Alexey, Lombardi, Paolo, Lombardo, Claudio, Loo, Kai, Lu, Chuan, Lu, Haoqi, Lu, Jingbin, Lu, Junguang, Lu, Meishu, Lu, Peizhi, Lu, Shuxiang, Lu, Xianguo, Lubsandorzhiev, Bayarto, Lubsandorzhiev, Sultim, Ludhova, Livia, Lukanov, Arslan, Luo, Fengjiao, Luo, Guang, Luo, Jianyi, Luo, Shu, Luo, Wuming, Luo, Xiaojie, Lyashuk, Vladimir, Ma, Bangzheng, Ma, Bing, Ma, Qiumei, Ma, Si, Ma, Xiaoyan, Ma, Xubo, Maalmi, Jihane, Mai, Jingyu, Malabarba, Marco, Malyshkin, Yury, Mandujano, Roberto Carlos, Mantovani, Fabio, Mao, Xin, Mao, Yajun, Mari, Stefano M., Marini, Filippo, Martini, Agnese, Mayer, Matthias, Mayilyan, Davit, Mednieks, Ints, Meng, Yue, Meraviglia, Anita, Meregaglia, Anselmo, Meroni, Emanuela, Miramonti, Lino, Mohan, Nikhil, Montuschi, Michele, Reveco, Cristobal Morales, Nastasi, Massimiliano, Naumov, Dmitry V., Naumova, Elena, Navas-Nicolas, Diana, Nemchenok, Igor, Thi, Minh Thuan Nguyen, Nikolaev, Alexey, Ning, Feipeng, Ning, Zhe, Nunokawa, Hiroshi, Oberauer, Lothar, Ochoa-Ricoux, Juan Pedro, Olshevskiy, Alexander, Orestano, Domizia, Ortica, Fausto, Othegraven, Rainer, Paoloni, Alessandro, Parker, George, Parmeggiano, Sergio, Patsias, Achilleas, Pei, Yatian, Pelicci, Luca, Peng, Anguo, Peng, Haiping, Peng, Yu, Peng, Zhaoyuan, Percalli, Elisa, Perrin, Willy, Perrot, Frédéric, Petitjean, Pierre-Alexandre, Petrucci, Fabrizio, Pilarczyk, Oliver, Rico, Luis Felipe Piñeres, Popov, Artyom, Poussot, Pascal, Previtali, Ezio, Qi, Fazhi, Qi, Ming, Qi, Xiaohui, Qian, Sen, Qian, Xiaohui, Qian, Zhen, Qiao, Hao, Qin, Zhonghua, Qiu, Shoukang, Qu, Manhao, Qu, Zhenning, Ranucci, Gioacchino, Re, Alessandra, Rebii, Abdel, Redchuk, Mariia, Reina, Gioele, Ren, Bin, Ren, Jie, Ren, Yuhan, Ricci, Barbara, Rientong, Komkrit, Rifai, Mariam, Roche, Mathieu, Rodphai, Narongkiat, Romani, Aldo, Roskovec, Bedřich, Ruan, Xichao, Rybnikov, Arseniy, Sadovsky, Andrey, Saggese, Paolo, Sandanayake, Deshan, Sangka, Anut, Sava, Giuseppe, Sawangwit, Utane, Schever, Michaela, Schwab, Cédric, Schweizer, Konstantin, Selyunin, Alexandr, Serafini, Andrea, Settimo, Mariangela, Shao, Junyu, Sharov, Vladislav, Shi, Hexi, Shi, Jingyan, Shi, Yanan, Shutov, Vitaly, Sidorenkov, Andrey, Šimkovic, Fedor, Singhal, Apeksha, Sirignano, Chiara, Siripak, Jaruchit, Sisti, Monica, Smirnov, Mikhail, Smirnov, Oleg, Sokolov, Sergey, Songwadhana, Julanan, Soonthornthum, Boonrucksar, Sotnikov, Albert, Sreethawong, Warintorn, Stahl, Achim, Stanco, Luca, Stankevich, Konstantin, Steiger, Hans, Steinmann, Jochen, Sterr, Tobias, Stock, Matthias Raphael, Strati, Virginia, Strizh, Michail, Studenikin, Alexander, Su, Aoqi, Su, Jun, Sun, Guangbao, Sun, Shifeng, Sun, Xilei, Sun, Yongjie, Sun, Yongzhao, Sun, Zhengyang, Suwonjandee, Narumon, Takenaka, Akira, Tan, Xiaohan, Tang, Jian, Tang, Jingzhe, Tang, Qiang, Tang, Quan, Tang, Xiao, Hariharan, Vidhya Thara, Tkachev, Igor, Tmej, Tomas, Torri, Marco Danilo Claudio, Triossi, Andrea, Trzaska, Wladyslaw, Tung, Yu-Chen, Tuve, Cristina, Ushakov, Nikita, Vedin, Vadim, Venettacci, Carlo, Verde, Giuseppe, Vialkov, Maxim, Viaud, Benoit, Vollbrecht, Cornelius Moritz, von Sturm, Katharina, Vorobel, Vit, Voronin, Dmitriy, Votano, Lucia, Walker, Pablo, Wang, Caishen, Wang, Chung-Hsiang, Wang, En, Wang, Guoli, Wang, Hanwen, Wang, Jian, Wang, Jun, Wang, Li, Wang, Lu, Wang, Meng, Wang, Mingyuan, Wang, Qianchuan, Wang, Ruiguang, Wang, Sibo, Wang, Siguang, Wang, Wei, Wang, Wenshuai, Wang, Xi, Wang, Xiangyue, Wang, Yangfu, Wang, Yaoguang, Wang, Yi, Wang, Yifang, Wang, Yuanqing, Wang, Yuyi, Wang, Zhe, Wang, Zheng, Wang, Zhimin, Watcharangkool, Apimook, Wei, Wei, Wei, Wenlu, Wei, Yadong, Wei, Yuehuan, Wen, Liangjian, Weng, Jun, Wiebusch, Christopher, Wirth, Rosmarie, Wu, Chengxin, Wu, Diru, Wu, Qun, Wu, Yinhui, Wu, Yiyang, Wu, Zhi, Wurm, Michael, Wurtz, Jacques, Wysotzki, Christian, Xi, Yufei, Xia, Dongmei, Xian, Shishen, Xiang, Ziqian, Xiao, Fei, Xiao, Xiang, Xie, Xiaochuan, Xie, Yijun, Xie, Yuguang, Xin, Zhao, Xing, Zhizhong, Xu, Benda, Xu, Cheng, Xu, Donglian, Xu, Fanrong, Xu, Hangkun, Xu, Jiayang, Xu, Jilei, Xu, Jing, Xu, Jinghuan, Xu, Meihang, Xu, Xunjie, Xu, Yin, Xu, Yu, Yan, Baojun, Yan, Qiyu, Yan, Taylor, Yan, Xiongbo, Yan, Yupeng, Yang, Changgen, Yang, Chengfeng, Yang, Fengfan, Yang, Jie, Yang, Lei, Yang, Pengfei, Yang, Xiaoyu, Yang, Yifan, Yang, Yixiang, Yang, Zekun, Yao, Haifeng, Ye, Jiaxuan, Ye, Mei, Ye, Ziping, Yermia, Frédéric, You, Zhengyun, Yu, Boxiang, Yu, Chiye, Yu, Chunxu, Yu, Guojun, Yu, Hongzhao, Yu, Miao, Yu, Xianghui, Yu, Zeyuan, Yu, Zezhong, Yuan, Cenxi, Yuan, Chengzhuo, Yuan, Ying, Yuan, Zhenxiong, Yue, Baobiao, Zafar, Noman, Zamogilnyi, Kirill, Zavadskyi, Vitalii, Zeng, Fanrui, Zeng, Shan, Zeng, Tingxuan, Zeng, Yuda, Zhan, Liang, Zhang, Aiqiang, Zhang, Bin, Zhang, Binting, Zhang, Feiyang, Zhang, Hangchang, Zhang, Haosen, Zhang, Honghao, Zhang, Jialiang, Zhang, Jiawen, Zhang, Jie, Zhang, Jingbo, Zhang, Jinnan, Zhang, Junwei, Zhang, Lei, Zhang, Peng, Zhang, Ping, Zhang, Qingmin, Zhang, Shiqi, Zhang, Shu, Zhang, Shuihan, Zhang, Siyuan, Zhang, Tao, Zhang, Xiaomei, Zhang, Xin, Zhang, Xuantong, Zhang, Yibing, Zhang, Yinhong, Zhang, Yiyu, Zhang, Yongpeng, Zhang, Yu, Zhang, Yuanyuan, Zhang, Yumei, Zhang, Zhenyu, Zhang, Zhijian, Zhao, Jie, Zhao, Rong, Zhao, Runze, Zhao, Shujun, Zhao, Tianhao, Zheng, Hua, Zheng, Yangheng, Zhou, Jing, Zhou, Li, Zhou, Nan, Zhou, Shun, Zhou, Tong, Zhou, Xiang, Zhou, Xing, Zhu, Jingsen, Zhu, Kangfu, Zhu, Kejun, Zhu, Zhihang, Zhuang, Bo, Zhuang, Honglin, Zong, Liang, and Zou, Jiaheng
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High Energy Physics - Experiment ,High Energy Physics - Phenomenology - Abstract
We explore the bound neutrons decay into invisible particles (e.g., $n\rightarrow 3 \nu$ or $nn \rightarrow 2 \nu$) in the JUNO liquid scintillator detector. The invisible decay includes two decay modes: $ n \rightarrow { inv} $ and $ nn \rightarrow { inv} $. The invisible decays of $s$-shell neutrons in $^{12}{\rm C}$ will leave a highly excited residual nucleus. Subsequently, some de-excitation modes of the excited residual nuclei can produce a time- and space-correlated triple coincidence signal in the JUNO detector. Based on a full Monte Carlo simulation informed with the latest available data, we estimate all backgrounds, including inverse beta decay events of the reactor antineutrino $\bar{\nu}_e$, natural radioactivity, cosmogenic isotopes and neutral current interactions of atmospheric neutrinos. Pulse shape discrimination and multivariate analysis techniques are employed to further suppress backgrounds. With two years of exposure, JUNO is expected to give an order of magnitude improvement compared to the current best limits. After 10 years of data taking, the JUNO expected sensitivities at a 90% confidence level are $\tau/B( n \rightarrow { inv} ) > 5.0 \times 10^{31} \, {\rm yr}$ and $\tau/B( nn \rightarrow { inv} ) > 1.4 \times 10^{32} \, {\rm yr}$., Comment: 28 pages, 7 figures, 4 tables
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- 2024
42. Deep generative modelling of canonical ensemble with differentiable thermal properties
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Li, Shuo-Hui, Zhang, Yao-Wen, and Pan, Ding
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Condensed Matter - Statistical Mechanics ,Computer Science - Machine Learning - Abstract
We propose a variational modelling method with differentiable temperature for canonical ensembles. Using a deep generative model, the free energy is estimated and minimized simultaneously in a continuous temperature range. At optimal, this generative model is a Boltzmann distribution with temperature dependence. The training process requires no dataset, and works with arbitrary explicit density generative models. We applied our method to study the phase transitions (PT) in the Ising and XY models, and showed that the direct-sampling simulation of our model is as accurate as the Markov Chain Monte Carlo (MCMC) simulation, but more efficient. Moreover, our method can give thermodynamic quantities as differentiable functions of temperature akin to an analytical solution. The free energy aligns closely with the exact one to the second-order derivative, so this inclusion of temperature dependence enables the otherwise biased variational model to capture the subtle thermal effects at the PTs. These findings shed light on the direct simulation of physical systems using deep generative models, Comment: Main text: 4.5 pages, 2 figures. Supplement: 9 pages
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- 2024
43. Equivariant Imaging for Self-supervised Hyperspectral Image Inpainting
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Li, Shuo, Davies, Mike, and Yaghoobi, Mehrdad
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning ,Electrical Engineering and Systems Science - Image and Video Processing - Abstract
Hyperspectral imaging (HSI) is a key technology for earth observation, surveillance, medical imaging and diagnostics, astronomy and space exploration. The conventional technology for HSI in remote sensing applications is based on the push-broom scanning approach in which the camera records the spectral image of a stripe of the scene at a time, while the image is generated by the aggregation of measurements through time. In real-world airborne and spaceborne HSI instruments, some empty stripes would appear at certain locations, because platforms do not always maintain a constant programmed attitude, or have access to accurate digital elevation maps (DEM), and the travelling track is not necessarily aligned with the hyperspectral cameras at all times. This makes the enhancement of the acquired HS images from incomplete or corrupted observations an essential task. We introduce a novel HSI inpainting algorithm here, called Hyperspectral Equivariant Imaging (Hyper-EI). Hyper-EI is a self-supervised learning-based method which does not require training on extensive datasets or access to a pre-trained model. Experimental results show that the proposed method achieves state-of-the-art inpainting performance compared to the existing methods., Comment: 5 Pages, 4 Figures, 2 Tables
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- 2024
44. The characteristic sequence of the integers that are the sum of two squares is not morphic
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Li, Shuo
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Mathematics - Number Theory ,Mathematics - Combinatorics - Abstract
Let $(s_2(n))_{n\in \mathbb{N}}$ be a $0,1$-sequence such that, for any natural number $n$, $s_2(n) = 1$ if and only if $n$ is a sum of two squares. In a recent article, Tahay proved that the sequence $(s_2(n))_{n\in \mathbb{N}}$ is not $k$-automatic for any integer $k$, and asked if this sequence can be morphic. In this note, we give a negative answer to this question.
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- 2024
45. Low-energy spin dynamics in a Kitaev material Na3Ni2BiO6 investigated by NMR
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Shi, Xinyu, Cui, Yi, Shangguan, Yanyan, Xu, Xiaoyu, Wu, Zhanlong, Hu, Ze, Li, Shuo, Du, Kefan, Chen, Ying, Ma, Long, Liu, Zhengxin, Wen, Jinsheng, Zhang, Jinshan, and Yu, Weiqiang
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Condensed Matter - Strongly Correlated Electrons - Abstract
We performed 23Na NMR and magnetization measurements on an S = 1, quasi-2D honeycomb lattice antiferromagnet Na3Ni2BiO6. A large positive Curie-Weiss constant of 22.9 K is observed. The NMR spectra at low fields are consistent with a "zigzag" magnetic order, indicating a large easy-axis anisotropy. With field applied along the c* axis, the NMR spectra confirm the existence of a 1/3-magnetization plateau phase between 5.1 T and 7.1 T. The transition from the zigzag order to the 1/3-magnetization plateau phase is also found to be a first-order type. A monotonic decrease of the spin gap is revealed in the 1/3-magnetization plateau phase, which reaches zero at a quantum critical field Hc = 8.35 T before entering the fully polarized phase. These data suggest the existence of exchange frustration in the system along with strong ferromagnetic interactions, hosting the possibility for Kitaev physics. Besides, well below the ordered phase, the 1/T1 at high fields shows either a level off or an enhancement upon cooling below 3 K, which suggests the existence of low-energy fluctuations., Comment: 7 pages, 7 figures
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- 2024
46. Uncertainty in Language Models: Assessment through Rank-Calibration
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Huang, Xinmeng, Li, Shuo, Yu, Mengxin, Sesia, Matteo, Hassani, Hamed, Lee, Insup, Bastani, Osbert, and Dobriban, Edgar
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence ,Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
Language Models (LMs) have shown promising performance in natural language generation. However, as LMs often generate incorrect or hallucinated responses, it is crucial to correctly quantify their uncertainty in responding to given inputs. In addition to verbalized confidence elicited via prompting, many uncertainty measures ($e.g.$, semantic entropy and affinity-graph-based measures) have been proposed. However, these measures can differ greatly, and it is unclear how to compare them, partly because they take values over different ranges ($e.g.$, $[0,\infty)$ or $[0,1]$). In this work, we address this issue by developing a novel and practical framework, termed $Rank$-$Calibration$, to assess uncertainty and confidence measures for LMs. Our key tenet is that higher uncertainty (or lower confidence) should imply lower generation quality, on average. Rank-calibration quantifies deviations from this ideal relationship in a principled manner, without requiring ad hoc binary thresholding of the correctness score ($e.g.$, ROUGE or METEOR). The broad applicability and the granular interpretability of our methods are demonstrated empirically.
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- 2024
47. Molecular intercalation in the van der Waals antiferromagnets FePS3 and NiPS3
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Li, Cong, Hu, Ze, Hou, Xiaofei, Xu, Sheng, Wu, Zhanlong, Du, Kefan, Li, Shuo, Xu, Xiaoyu, Chen, Ying, Wang, Zeyu, Mu, Tiancheng, Xia, Tian-Long, Guo, Yanfeng, Normand, B., Yu, Weiqiang, and Cui, Yi
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Condensed Matter - Strongly Correlated Electrons ,Condensed Matter - Materials Science - Abstract
We have performed electrochemical treatment of the van der Waals antiferromagnetic materials FePS$_3$ and NiPS$_3$ with the ionic liquid EMIM-BF$_4$, achieving significant molecular intercalation. Mass analysis of the intercalated compounds, EMIM$_x$-FePS$_3$ and EMIM$_x$-NiPS$_3$, indicated respective intercalation levels, $x$, of approximately 27\% and 37\%, and X-ray diffraction measurements demonstrated a massive (over 50\%) enhancement of the $c$-axis lattice parameters. To investigate the consequences of these changes for the magnetic properties, we performed magnetic susceptibility and $^{31}$P nuclear magnetic resonance (NMR) studies of both systems. For EMIM$_x$-FePS$_3$, intercalation reduces the magnetic ordering temperature from $T_N = 120$~K to 78~K, and we find a spin gap in the antiferromagnetic phase that drops from 45~K to 30~K. For EMIM$_x$-NiPS$_3$, the ordering temperature is almost unaffected (changing from 148~K to 145~K), but a change towards nearly isotropic spin fluctuations suggests an alteration of the magnetic Hamiltonian. Such relatively modest changes, given that the huge extension of the $c$ axes is expected to cause a very strong suppression any interlayer interactions, point unequivocally to the conclusion that the magnetic properties of both parent compounds are determined solely by two-dimensional (2D), intralayer physics. The changes in transition temperatures and low-temperature spin dynamics in both compounds therefore indicate that intercalation also results in a significant modulation of the intralayer magnetic interactions, which we propose is due to charge doping and localization on the P sites. Our study offers chemical intercalation with ionic liquids as an effective method to control not only the interlayer but also the intralayer interactions in quasi-2D magnetic materials.
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- 2024
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48. Predicting long-term outcomes in patients with classical trigeminal neuralgia following microvascular decompression with an MRI-based radiomics nomogram: a multicentre study
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Li, Shuo, Chen, Hongjin, Chen, Jiahao, Yang, Xiaosheng, Zhong, Weijie, Zhou, Han, Meng, Xuchen, Liao, Chenlong, and Zhang, Wenchuan
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- 2024
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49. Genomic analysis of intracranial and subcortical brain volumes yields polygenic scores accounting for variation across ancestries
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García-Marín, Luis M., Campos, Adrian I., Diaz-Torres, Santiago, Rabinowitz, Jill A., Ceja, Zuriel, Mitchell, Brittany L., Grasby, Katrina L., Thorp, Jackson G., Agartz, Ingrid, Alhusaini, Saud, Ames, David, Amouyel, Philippe, Andreassen, Ole A., Arfanakis, Konstantinos, Arias-Vasquez, Alejandro, Armstrong, Nicola J., Athanasiu, Lavinia, Bastin, Mark E., Beiser, Alexa S., Bennett, David A., Bis, Joshua C., Boks, Marco P. M., Boomsma, Dorret I., Brodaty, Henry, Brouwer, Rachel M., Buitelaar, Jan K., Burkhardt, Ralph, Cahn, Wiepke, Calhoun, Vince D., Carmichael, Owen T., Chakravarty, Mallar, Chen, Qiang, Ching, Christopher R. K., Cichon, Sven, Crespo-Facorro, Benedicto, Crivello, Fabrice, Dale, Anders M., Smith, George Davey, de Geus, Eco J. C., De Jager, Philip L., de Zubicaray, Greig I., Debette, Stéphanie, DeCarli, Charles, Depondt, Chantal, Desrivières, Sylvane, Djurovic, Srdjan, Ehrlich, Stefan, Erk, Susanne, Espeseth, Thomas, Fernández, Guillén, Filippi, Irina, Fisher, Simon E., Fleischman, Debra A., Fletcher, Evan, Fornage, Myriam, Forstner, Andreas J., Francks, Clyde, Franke, Barbara, Ge, Tian, Goldman, Aaron L., Grabe, Hans J., Green, Robert C., Grimm, Oliver, Groenewold, Nynke A., Gruber, Oliver, Gudnason, Vilmundur, Håberg, Asta K., Haukvik, Unn K., Heinz, Andreas, Hibar, Derrek P., Hilal, Saima, Himali, Jayandra J., Ho, Beng-Choon, Hoehn, David F., Hoekstra, Pieter J., Hofer, Edith, Hoffmann, Wolfgang, Holmes, Avram J., Homuth, Georg, Hosten, Norbert, Ikram, M. Kamran, Ipser, Jonathan C., Jack Jr, Clifford R., Jahanshad, Neda, Jönsson, Erik G., Kahn, Rene S., Kanai, Ryota, Klein, Marieke, Knol, Maria J., Launer, Lenore J., Lawrie, Stephen M., Hellard, Stephanie Le, Lee, Phil H., Lemaître, Hervé, Li, Shuo, Liewald, David C. M., Lin, Honghuang, Longstreth, Jr, W. T., Lopez, Oscar L., Luciano, Michelle, Maillard, Pauline, Marquand, Andre F., Martin, Nicholas G., Martinot, Jean-Luc, Mather, Karen A., Mattay, Venkata S., McMahon, Katie L., Mecocci, Patrizia, Melle, Ingrid, Meyer-Lindenberg, Andreas, Mirza-Schreiber, Nazanin, Milaneschi, Yuri, Mosley, Thomas H., Mühleisen, Thomas W., Müller-Myhsok, Bertram, Maniega, Susana Muñoz, Nauck, Matthias, Nho, Kwangsik, Niessen, Wiro J., Nöthen, Markus M., Nyquist, Paul A., Oosterlaan, Jaap, Pandolfo, Massimo, Paus, Tomas, Pausova, Zdenka, Penninx, Brenda W. J. H., Pike, G. Bruce, Psaty, Bruce M., Pütz, Benno, Reppermund, Simone, Rietschel, Marcella D., Risacher, Shannon L., Romanczuk-Seiferth, Nina, Romero-Garcia, Rafael, Roshchupkin, Gennady V., Rotter, Jerome I., Sachdev, Perminder S., Sämann, Philipp G., Saremi, Arvin, Sargurupremraj, Muralidharan, Saykin, Andrew J., Schmaal, Lianne, Schmidt, Helena, Schmidt, Reinhold, Schofield, Peter R., Scholz, Markus, Schumann, Gunter, Schwarz, Emanuel, Shen, Li, Shin, Jean, Sisodiya, Sanjay M., Smith, Albert V., Smoller, Jordan W., Soininen, Hilkka S., Steen, Vidar M., Stein, Dan J., Stein, Jason L., Thomopoulos, Sophia I., Toga, Arthur W., Tordesillas-Gutiérrez, Diana, Trollor, Julian N., Valdes-Hernandez, Maria C., van ′t Ent, Dennis, van Bokhoven, Hans, van der Meer, Dennis, van der Wee, Nic J. A., Vázquez-Bourgon, Javier, Veltman, Dick J., Vernooij, Meike W., Villringer, Arno, Vinke, Louis N., Völzke, Henry, Walter, Henrik, Wardlaw, Joanna M., Weinberger, Daniel R., Weiner, Michael W., Wen, Wei, Westlye, Lars T., Westman, Eric, White, Tonya, Witte, A. Veronica, Wolf, Christiane, Yang, Jingyun, Zwiers, Marcel P., Ikram, M. Arfan, Seshadri, Sudha, Thompson, Paul M., Satizabal, Claudia L., Medland, Sarah E., and Rentería, Miguel E.
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- 2024
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50. Small modifications of endo-functionalized cavities lead to large changes in molecular interaction in water
- Author
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Wang, Song-Meng, Nian, Hao, Wang, Yan-Fang, Zheng, Li-Shuo, Zheng, Yu-Tao, Dong, Yi-Wei, Huang, Liping, Wang, Xiaoping, Jiang, Wei, and Yang, Liu-Pan
- Published
- 2024
- Full Text
- View/download PDF
Catalog
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