43,462 results on '"SUN WEI"'
Search Results
2. Using sums-of-squares to prove Gaussian product inequalities
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Russell Oliver and Sun Wei
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moments of gaussian random vector ,gaussian product inequality conjecture ,sums-of-squares ,semi-definite programming ,primary 60e15 ,secondary 62h12 ,Science (General) ,Q1-390 ,Mathematics ,QA1-939 - Abstract
The long-standing Gaussian product inequality (GPI) conjecture states that E[∏j=1n∣Xj∣yj]≥∏j=1nE[∣Xj∣yj]E\left[{\prod }_{j=1}^{n}{| {X}_{j}| }^{{y}_{j}}]\ge {\prod }_{j=1}^{n}E\left[{| {X}_{j}| }^{{y}_{j}}] for any centered Gaussian random vector (X1,…,Xn)\left({X}_{1},\ldots ,{X}_{n}) and any non-negative real numbers yj{y}_{j}, j=1,…,nj=1,\ldots ,n. In this study, we describe a computational algorithm involving sums-of-squares representations of multivariate polynomials that can be used to resolve the GPI conjecture. To exhibit the power of the novel method, we apply it to prove new four- and five-dimensional GPIs: E[X12mX22X32X42]≥E[X12m]E[X22]E[X32]E[X42]E\left[{X}_{1}^{2m}{X}_{2}^{2}{X}_{3}^{2}{X}_{4}^{2}]\ge E\left[{X}_{1}^{2m}]E\left[{X}_{2}^{2}]E\left[{X}_{3}^{2}]E\left[{X}_{4}^{2}] for any m∈Nm\in {\mathbb{N}}, and E[∣X1∣yX22X32X42X52]≥E[∣X1∣y]E[X22]E[X32]E[X42]E[X52]E\left[{| {X}_{1}| }^{y}{X}_{2}^{2}{X}_{3}^{2}{X}_{4}^{2}{X}_{5}^{2}]\ge E\left[{| {X}_{1}| }^{y}]E\left[{X}_{2}^{2}]E\left[{X}_{3}^{2}]E\left[{X}_{4}^{2}]E\left[{X}_{5}^{2}] for any y≥110y\ge \frac{1}{10}.
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- 2024
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3. Review of research on competency of nosocomial infection control personnel in China
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SHI Qingfeng, HU Bijie, GAO Xiaodong, WANG Yanting, and SUN Wei
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competency ,nosocomial infection ,evaluation system ,research progress ,Medicine - Abstract
Nosocomial infection control personnel are crucial in ensuring the nosocomial infection management and the implementation of prevention and control measures. The level of their job competency directly determines the quality and standard of nosocomial infection management. This article reviews the research progress of competency requirements and evaluation indicators of nosocomial infection personnel domestically and internationally. It also summarizes the current gaps and primary reasons behind these gaps in China’s research, so as to offer insights for the future development and improvement of the comprehensive capabilities of these professionals.
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- 2024
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4. Crystal structure of naphthalen-1-ylmethyl 2-(6-methoxynaphthalen-2-yl)propanoate, C25H22O3
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Liang Di, Wu Shan-Shan, Wang Yan, Sun Wei, and Zhou Xiao-Ping
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2332844 ,Physics ,QC1-999 ,Crystallography ,QD901-999 - Abstract
C25H22O3, orthorhombic, P212121 (no. 19), a = 6.1768(2) Å, b = 11.2198(5) Å, c = 27.5938(11) Å, V = 1912.32(13) Å3, Z = 4, R gt(F) = 0.0319, wR ref(F 2) = 0.0872, T = 100(2) K.
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- 2024
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5. Roadway rock burst prediction based on catastrophe theory
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Wang Pan, Gu Shuan-Cheng, and Sun Wei
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Rock burst ,Key load-bearing circle of surrounding rock ,Cusp catastrophe ,Critical load ,Critical depth ,Medicine ,Science - Abstract
Abstract In order to quantitatively calculate the critical depth and critical load of mines affected by rock burst, and to achieve effective prevention and control of rock burst in coal mines, this paper proposes a mechanical model for predicting the occurrence of rock burst in coal mine roadways based on catastrophe theory. Additionally, a theoretical calculation formula for initiating rock burst is derived. The first step was to establish a mechanical analysis model, which directly correlated with the in-situ stress, physical and mechanical characteristics of the coal-rock mass, and engineering structural parameters. Following this, a mechanical instability criterion was derived for the key load-bearing circle within the surrounding rock of the roadway. In the final step, the critical depth and load for rock burst initiation were verified for 25 distinct coal mines in China that were prone to rock burst hazards. The research results demonstrate that the discrepancy between the theoretically calculated critical depth and the actual measured statistical values was less than 35%. In addition, the difference between the theoretically determined critical depth and the value calculated by Pan Yishan was less than 32%. Notably, the ratio of the theoretically calculated critical load to the uniaxial compressive strength of the coal-rock mass ranged from 0.38 to 1.93. This aligns with empirical data on rock burst occurrences, as set out in the engineering classification standards for rock masses. These research outcomes substantiated the practical utility of the proposed theory, thereby laying a robust theoretical groundwork for the quantitative control of rock burst.
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- 2024
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6. Diversity, community structure, and abundance of nirS-type denitrifying bacteria on suspended particulate matter in coastal high-altitude aquaculture pond water
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Kuang Chunyi, Sun Wei, Wei Mingken, Xia Chunyu, and Li Changxiu
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Suspended particulate matter ,Aquaculture ecosystem ,Coastal high-altitude aquaculture pond ,NirS gene ,Denitrifying bacteria ,Medicine ,Science - Abstract
Abstract Denitrifying bacteria harboring the nitrate reductase S (nirS) gene convert active nitrogen into molecular nitrogen, and alleviate eutrophication in aquaculture water. Suspended particulate matter (SPM) is an important component of aquaculture water and a carrier for denitrification. SPM with different particle sizes were collected from a coastal high-altitude aquaculture pond in Maoming City, China. Diversity, community structure, abundance of nirS-type denitrifying bacteria on SPM and environmental influencing factors were studied using high-throughput sequencing, fluorescence quantitative PCR, and statistical analysis. Pseudomonas, Halomonas, and Wenzhouxiangella were the dominant genera of nirS-type denitrifying bacteria on SPM from the ponds. Network analysis revealed Pseudomonas and Halomonas as the key genera involved in the interaction of nirS-type denitrifying bacteria on SPM in the ponds. qPCR indicated a trend toward greater nirS gene abundance in progressively larger SPM. Dissolved oxygen, pH, temperature, and SPM particle size were the main environmental factors influencing changes in the nirS-type denitrifying bacterial community on SPM in coastal high-altitude aquaculture pond water. These findings increase our understanding of the microbiology of nitrogen cycle processes in aquaculture ecosystem, and will help optimize aquatic tailwater treatment strategies.
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- 2024
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7. A method for durian precise fertilization based on improved radial basis neural network algorithm
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Ruipeng Tang, Sun Wei, Tang Jianxun, Narendra Kumar Aridas, and Mohamad Sofian Abu Talip
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durian precise fertilization ,durian soil nutrient management ,precise nutrient supply ,durian planting ,durian yield prediction ,Plant culture ,SB1-1110 - Abstract
IntroductionDurian is one of the tropical fruits that requires soil nutrients in its cultivation. It is important to understand the relationship between the content of critical nutrients, such as nitrogen (N), phosphorus (P), and potassium (K) in the soil and durian yield. How to optimize the fertilization plan is also important to the durian planting.MethodsThus, this study proposes an Improved Radial Basis Neural Network Algorithm (IM-RBNNA) in the durian precision fertilization. It uses the gray wolf algorithm to optimize the weights and thresholds of the RBNNA algorithm, which can improve the prediction accuracy of the RBNNA algorithm for the soil nutrient content and its relationship with the durian yield. It also collects the soil nutrients and historical yield data to build the IM-RBNNA model and compare with other similar algorithms.ResultsThe results show that the IM-RBNNA algorithm is better than the other three algorithms in the average relative error, average absolute error, and coefficient of determination between the predicted and true values of soil N, K, and P fertilizer contents. It also predicts the relationship between soil nutrients and yield, which is closer to the true value.DiscussionIt shows that the IM-RBNNA algorithm can accurately predict the durian soil nutrient content and yield, which is benefited for farmers to make agronomic plans and management strategies. It uses soil nutrient resources efficiently, which reduces the environmental negative impacts. It also ensures that the durian tree can obtain the appropriate amount of nutrients, maximize its growth potential, reduce production costs, and increase yields.
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- 2024
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8. Construction and Application of Mineral Flotation Adsorption Equilibrium Model: Accurately Analyze Ions / Reagents Adsorption Behavior on Mineral Surface
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Gao Ya, Fu Xinzhuang, Han Haisheng, Wang Li, Yue Tong and Sun Wei>
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mineral processing ,flotation mechanism ,mineral flotation adsorption equilibrium model ,mineral floatability prediction ,characteristic constant in mineral flotation ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
The mineral flotation adsorption equilibrium model is a mathematical model to accurately describe ions/reagents adsorption equilibrium involved in mineral flotation. It is the first time to realize quantitative affinity analysis between mineral surface sites and flotation reagents. There is a lack of scientific explanation for the traditional flotation theory on the surface-active sites, and the adsorption capacity and equilibrium state of flotation reagents are also difficult to clarify, making new reagent design mainly based on empirical methods such as trial-and-error method and compound method. Besides, if selective adsorption, as the core mechanism of flotation, cannot be precisely predicted, the development of intelligent control on flotation process will be seriously limited. This study discussed in detail the construction principle of the mineral flotation adsorption equilibrium model, taking two flotation systems of hematite-quartz and diaspore-kaolinite as examples. The constants containing site density Ns, protonation / deprotonation equilibrium constants Kt1/Kt2, and reagent adsorption constant Kf can be deduced and verified successfully. Based on these constants, mineral surface electricity and ions/reagents adsorption behavior can be forecasted. Furthermore, a kind of kernel algorithm about the mineral flotation prediction system was created through Zeta potential tests and some other verification methods. Using this algorithm, the preliminary and accurate prediction of reagent adsorption on each mineral surface at different conditions can reflect its floatability trend to a certain extent, which helps to shorten the flotation technology development cycle. It is also of great significance in the study of mineral surface reagent adsorption mechanisms, flotation reagent molecular design, and flotation process optimization and intelligent control.
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- 2023
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9. Effects of bifidobacterium tetragenous viable tablets on insulin sensitivity, intestinal microflora, glycolipid metabolism in type 2 diabetes mellitus
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YANG Xiaoling, MA Liang, AN Min, LI Yue, and SUN Wei
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diabetes ,microvascular complication ,electrocardiogram ,pr interval ,body mass index ,hemoglobin a1c ,diabetic nephropathy ,Medicine - Abstract
Objective To explore the correlation between the prolongating PR interval of electrocardiogram and the general information and biochemical indicators of diabetes patients with microvascular complications, and the predictive value of diabetes microvascular complications. Methods A total of 217 patients with diabetes who hospitalized in Department of Endocrinology, Xi'an Third Hospital from August 2020 to November 2022 were selected retrospectively. Among them, 149 patients only with diabetes were divided into control group, while 68 diabetes patients with microvascular complications were divided into observation group. The general data and biochemical indexes of all diabetes patients were collected, and the PR interval was measured by standard 12 lead synchronous electrocardiograph. The correlation between PR interval and general data and biochemical indicators in patients with microvascular complications of diabetes were analyzed. The predictive value of PR interval on microvascular complications in diabetes was analyzed by receiver operating characteristic (ROC) curve. Results Age, duration of diabetes, body mass index (BMI), hemoglobin A1c (HbA1c), PR interval in the observation group were higher than those in the control group (P<0.01). PR interval of diabetes patients with microvascular complications was positively correlated with age, diabetes duration, BMI, HbA1c (P<0.01). The AUC of PR interval for predicting microvascular complications in diabetes was 0.812 (95%CI:0.752-0.872), the sensitivity was 70.6%, the specificity was 78.5%, and the cut-off value was 212.61 ms. Prolonged PR interval was an independent risk factor for microvascular complications in diabetes (OR=2.475, 95%CI: 1.472-5.120, P<0.01). Conclusion In patients with microvascular complications of diabetes, the PR interval in electrocardiogrom is significantly prolonged. Prolonged PR interval is an independent risk factor for microvascular complications in diabetes, which is helpful to predict the occurance of diatetic microvascular complications.
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- 2023
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10. Structural Design and Implementation of Simulating Galago Senegalensis Monkey Single-leg Jumping Robots
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Li Jing, Li Gui, Sun Wei, Chen Haozuo, Ye Mao, and Li Ronghe
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Galago senegalensis monkey ,Single-leg jumping robot ,Planar eight-bar linkage ,Structure design ,Attitude control ,Mechanical engineering and machinery ,TJ1-1570 - Abstract
Aiming at the main problems existing in the jumping robot, combined with the galago senegalensis monkey's characteristics of small sizes, stable and explosive jumping, a kind of galago senegalensis monkey single leg jumping robot is proposed in this study, and its main structure and control system are designed. Based on the principle of the Stephenson's six-bar linkage, a planar eight-bar linkage for the leg of simulating galago senegalensis monkey robot is designed, and its trajectory is optimized to obtain the bar length parameters with the best jumping ability. The three directions of the robot's jumping are controlled and adjusted, and the double closed-loop feedback control system is used to ensure the stability of the robot's attitude when taking off, soaring in the air, and landing on the ground. Finally, the physical verification model of the robot is established. The total weight is only 395.5 g, and the overall height is 250 mm. The experimental results show that the simulating single leg robot can achieve continuous and stable jumping, the highest jumping speed can reach 20 m/s, and the response time at a jumping height of 100 mm is 0.1 s.
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- 2023
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11. Adipose-derived stem cells repair radiation-induced chronic lung injury via inhibiting TGF-β1/Smad 3 signaling pathway
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Huang Xin, Sun Wei, Nie Bin, Li Juan-juan, Jing Fei, Zhou Xiao-li, Ni Xin-ye, and Ni Xin-chu
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adipose-derived stem cells ,radiation-induced lung injury ,fibroplasia ,tgf-β1/smad 3 signaling pathway ,Medicine - Abstract
To investigate the effect of adipose-derived stem cells (ASCs) transplantation on radiation-induced lung injury (RILI), Sprague-Dawley rats were divided into phosphate-buffered saline (PBS) group, ASCs group, Radiation + PBS group, and Radiation + ASCs group. Radiation + PBS and Radiation + ASCs groups received single dose of 30 Gy X-ray radiation to the right chest. The Radiation + PBS group received 1 mL PBS suspension and Radiation + ASCs group received 1 mL PBS suspension containing 1 × 107 CM-Dil-labeled ASCs. The right lung tissue was collected on Days 30, 90, and 180 after radiation. Hematoxylin–eosin and Masson staining were performed to observe the pathological changes and collagen fiber content in the lung tissue. Immunohistochemistry (IHC) and western blot (WB) were used to detect levels of fibrotic markers collagen I (Collal), fibronectin (FN), as well as transforming growth factor-β1 (TGF-β1), p-Smad 3, and Smad 3. Compared with the non-radiation groups, the radiation groups showed lymphocyte infiltration on Day 30 after irradiation and thickened incomplete alveolar walls, collagen deposition, and fibroplasia on Days 90 and 180. ASCs relieved these changes on Day 180 (Masson staining, P = 0.0022). Compared with Radiation + PBS group, on Day 180 after irradiation, the Radiation + ASCs group showed that ASCs could significantly decrease the expressions of fibrosis markers Collal (IHC: P = 0.0022; WB: P = 0.0087) and FN (IHC: P = 0.0152; WB: P = 0.026) and inhibit the expressions of TGF-β1 (IHC: P = 0.026; WB: P = 0.0152) and p-Smad 3 (IHC: P = 0.0043; WB: P = 0.0087) in radiation-induced injured lung tissue. These indicated that ASCs could relieve RILI by inhibiting TGF-β1/Smad 3 signaling pathway.
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- 2023
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12. Structural Design and Mechanical Analysis of Permanent Magnet Wheeled Climbing Robots on an Outer Wall of Pipelines
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Li Haonan, Hou Yu, Jiang Yiwei, and Sun Wei
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Permanent magnetic ,Wheeled robot ,Mechanical analysis ,Obstacle climbing ability ,Mechanical engineering and machinery ,TJ1-1570 - Abstract
Large pipelines with long term transport of oil and gas resources need to be tested in petrochemical industry nowadays. In this case, a robot which adopts a six-wheel rocker-bogie mobile mechanism with the permanent magnet wheel is proposed to realize the function of the stability to walk on the outer wall and good ability to climb over the obstacle, in order to replace manual inspection of pipelines in a safer and more efficient way when it is equipped with the testing equipment. To determine the driving force required, the minimum magnetic force meeting the force balance condition of stable adsorption of the robot needs to be calculated first; the size of the permanent magnet wheel is designed and determined based on the magnetic force analysis model of the permanent magnet wheel established by Maxwell. Kinematics simulation of the robot based on Adams software is carried out and the ability to climb over the obstacle is verified.
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- 2023
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13. Risk assessment items for silent aspiration in coma patients with tracheotomy based on Delphi method and a clinical empirical study
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PAN Jinyu, SHU Xin, and SUN Wei
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tracheotomy ,silent aspiration ,risk assessment ,delphi ,machine learning ,Medicine (General) ,R5-920 - Abstract
Objective To construct a risk factor assessment scale for silent aspiration in comatose patients with tracheotomy. Methods Based on literature review and group discussion, 29 experts were consulted in 2 rounds using Delphi method to optimize the items during September 2021 and May 2023. After the clinical data of 315 coma patients with tracheotomy admitted to our hospital between May 2014 and January 2018 were retrospectively collected, 4 machine learning models, including Logistic Regression (LR), eXtreme Gradient Boosting (XGBoost), Naive Bayes (NB) and Support Vector Machine (SVM), were established. Receiver operating characteristic (ROC) curve was drawn and area under the ROC curve (AUC), sensitivity, specificity, positive predictive value, negative predictive value, F1 score and accuracy were calculated to evaluate the effectiveness. Results Finally, a total of 21 risk assessment indicators involving 50 grade items were identified. The positive coefficients of the 2 rounds of expert consultation were 96.7% and 100%, respectively. The authority coefficients for the 2 rounds were 0.88, and the Kendall coordination coefficients were 0.362 and 0.222 (P < 0.001), respectively. The coefficients of variation of the importance and accuracy of each item ranged from 0.080 to 0.299 and from 0.091 to 0.191, respectively. The AUCs of LR, NB, XGboost and SVM models were 0.977, 0.981, 0.953 and 0.978, respectively. Conclusion Our study identifies 21 risk assessment indicators, including endotracheal tube type, tracheotomy catheter balloon pressure, mechanical ventilation, nasal feeding, gastric remnant, swallowing function, cough reflex and oral cleanliness, and 50 grade items. Clinical verification shows that the constructed risk assessment indicators have good predictive efficacy and can provide reference for the assessment of silent aspiration risk in coma patients with tracheotomy.
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- 2023
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14. A meta-analysis of cognitive and functional outcomes in severe brain trauma cases
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Zhang Shuanglong, Yuan Jiangyuan, Nie Meng, Wang Zheng, Zhang Yunshui, Sun Wei, Qiao Li, and Jiang Rongcai
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brain trauma ,severe TBI ,depression ,verbal and visual disabilities ,learning and memory impairment ,cognitive disabilities ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
BackgroundSevere traumatic brain injuries (TBIs) are an important health issue worldwide, which are associated with harmful side effects. This meta-analysis investigates the cognitive and functional outcomes in severe brain trauma cases. It assesses the impact on memory, verbal and visual abilities, attention, learning, and the presence of depression. The study provides a comprehensive overview of the consequences of severe brain trauma injury on cognitive and functional domains.ObjectiveThe main objective of the current comprehensive meta-analysis study is to assess and analyze the impact of severe TBI on functional and cognitive outcomes, including verbal, visual, attention, learning, memory, and emotional stability.MethodsWe collected data from three online databases, including PubMed, Cochrane Library, and Embase. Case–control trials related to severe TBI association with cognitive and functional outcomes were included. Verbal strength, visual functions, learning abilities, attention, memory, and depression were considered primary outcomes.ResultsWe have included 13 case–control studies with 1,442 subjects in this meta-analysis, which provide adequate data to determine the pooled effect size for targeted outcomes. The effect of severe TBI on the inducement of depression and impairment of memory, verbal, visual, attention, and learning abilities compared to the control group showed statistically significant outcomes (p
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- 2024
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15. A paper-based ratiometric fluorescent sensor for NH3 detection in gaseous phase: Real-time monitoring of chilled chicken freshness
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Huang Xiaowei, Zhao Wanying, Sun Wei, Li Zhihua, Zhang Ning, Shi Jiyong, Zhang Yang, Zhang Xinai, Shen Tingting, and Zou Xiaobo
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Ratio fluorescence ,Visual analysis ,Chilled Chicken Freshness ,Paper-based sensors ,Ammonia ,Nutrition. Foods and food supply ,TX341-641 ,Food processing and manufacture ,TP368-456 - Abstract
A ratiometric fluorescence sensor platform with easy-to-use and accurate is nanoengineered for NH3 quantitative detection and visual real-time monitoring of chicken freshness using smartphones. The ratiometric fluorescent probe formed by combining the zinc ion complex and carbon dots has a double-emitted fluorescence peak. The fluorescence intensity of the complex changed can be clearly observed with the increase of the concentration of ammonia solution under 365 nm wavelength excitation. In order to detect NH3 concentration in gaseous phase, a portable paper-based sensor was designed. The sensor had a good linear relationship with NH3 concentration ranging from 10.0 to 90.0 μmol/L and the LOD value was 288 nM. This fluorescent paper-based sensor was used to check the freshness of chicken breast refrigerated at 4 °C, revealed observable shifts from blue to green. The fluorescent paper-based sensor can detect NH3 concentration in real time and simplify the monitoring process of meat freshness while ensuring accuracy and stability.
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- 2024
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16. Analysis of the Role and Effectiveness of Artificial Intelligence in Art Therapy
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Sun Wei, Liu Yaxun, and Teng Jian
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machine learning ,artificial intelligence ,embodied interaction ,regression modeling ,art therapy ,47n50 ,Mathematics ,QA1-939 - Abstract
This paper discusses the critical role of art therapy in solving various psychological problems, and introduces an innovative immersive and interactive art therapy mechanism based on artificial intelligence (AI), which combines machine learning and AI algorithms to realize embodied interactions between the learner, the machine, and the environment.The study analyzes the changes of students’ status before and after receiving art therapy in terms of various dimensions, including students’ social avoidance, general well-being, and self-emotions. Using regression modeling, the study validated the positive effects of art therapy on students’ mental health, cognitive abilities, and depression levels. It showed that art therapy had a statistically significant impact on improving students’ mental health, cognition, and reducing depressive symptoms at the 1% level of significance. Students who participated in art therapy had a 0.329 unit increase in mental health scores compared to non-participants, and this study provides a valuable reference and idea for the application of expressive art therapy in mental health education.
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- 2024
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17. Antibiotics therapy combined with probiotics administered intravaginally for the treatment of bacterial vaginosis: A systematic review and meta-analysis
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Ma Siyu, Wang Wei, Su Yanli, Sun Wei, and Ma Liyan
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vaginitis ,metronidazole ,clindamycin ,lactobacilli ,recurrence rate ,cure rate ,Medicine - Abstract
The objective was to examine the pooled effects of antibiotic–probiotic combinations by examining the cure rate and recurrence rate for bacterial vaginosis (BV). A systematic literature search was conducted from electronic databases. All parallel randomized controlled trials (RCTs) that focused on the effects of antibiotics combined with intravaginal probiotics were included. Cure rate and recurrence rate were the primary and secondary outcomes to be analyzed. Meta-analysis was conducted following the Cochrane handbook for Systematic Reviews of Interventions. As a result, of 923 studies identified, 11 articles involving 1,493 BV patients met the inclusion criteria and nine were available for meta-analysis. A meta-analysis of two studies evaluated the recurrence rate 12–16 weeks after treatment. Results showed a statistically significant difference favoring the antibiotics plus probiotics group vs the antibiotics plus placebo group (relative risk 0.62, 95% confidence interval [CI]: 0.45–0.85). The narrative review in one study indicated that the cure rate was higher in the antibiotics plus probiotics group, giving a significant HR ratio of 0.73 (95% CI 0.54–0.98) (p = 0.042). In conclusion, vaginal application of Lactobacillus in combination with antibiotics for the treatment of BV could be a promising method for both reducing the recurrence rate and relieving symptoms of BV.
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- 2023
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18. Innovative Development Path of the Guangdong-Hong Kong-Macao Greater Bay Area in the New Period
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Zhang Hong'ou, George C S Lin, He Shenjing, Huang Gengzhi, Ye Yuyao, Liu Chengliang, Luo Yan, Yang Yu, Liu Helin, Pan Fenghua, Zhu Shengjun, Li Yurui, Hu Zhiding, Yang Zhenshan, Zhou Xia, Wu Qitao, Yang Ren, Sun Wei, Ma Haitao, Liang Yutian, Wang Fenglong, An Ning, Yuan Zhenjie, Guo Yan, Xi Guangliang, Hu Xiaohui, Lin Qiang, Liu Yi, and Huang Jie
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guangdong-hong kong-macao greater bay area ,pearl river delta ,regional development ,innovation ,spatial governance ,rural revitalization ,infrastructure ,Geography (General) ,G1-922 - Abstract
Owing to the development issues of the Guangdong-Hong Kong-Macao Greater Bay Area in the new domestic and international situation, the content, challenges, and paths of innovation and development of the Greater Bay Area are explored from multiple dimensions, including economic, social, cultural, and institutional. The innovation and development of the Greater Bay Area should strengthen technological and industrial innovation capabilities, improve regional resilience to cope with external shocks, increase the mobility of intraregional factors, improve the well-being of the people's livelihood, enhance the capacity of spatial governance, promote integrated urban-rural development, and optimize the regional pattern of ecological security. The conclusion is that considering the innovation and development of the Greater Bay Area from a systemic and interconnected perspective is crucial for seeking innovations in various development fields and promoting coupling and coordination among them. Therefore, the region may acquire the agency that can continuously break through bottlenecks, resolve external shocks, and unlock new paths of development. We call for the strengthening of cross-field and cross-disciplinary collaborative research to contribute the power of geography to the realization of the development goals of the Guangdong-Hong Kong-Macao Greater Bay Area.
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- 2023
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19. Information technologies in the education of contemporary China: reality and opportunities
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Sun Wei
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education ,high technology ,‘smart classroom’ ,‘flipped classroom’ ,basic needs for information technology ,integration of information technology in education ,adaptation to the information environment ,Education (General) ,L7-991 ,Philosophy (General) ,B1-5802 - Abstract
With the rapid development of modern information technologies, their integration into all areas of education is accelerating, which contributes to the penetration of innovations into the education space. The author emphasizes that the design of many educational technologies was focused on the goals of education and included a sufficient number of educational concepts and elements. However, if teachers blindly adhere to the traditional concept of “technology is only a tool”, then this creates a sense of superiority of their own status and a narrow understanding of the value of technology. The author relies in his research on the latest achievements in the field of not only high technologies that are used in education, but also on psychological and social research on the impact of the latter both on education and on a person. The author proposes to perceive technologies in the context of a new culture, and shows possible ways of their more adequate use. Working with artificial technological objects is not only the acceptance of an artificial object, but also the adoption of a technical culture, which indicates a new cultural relationship between people and technology, and vice versa. On the basis of analyzing the phenomenon and essence of contemporary information technology, the author of this article tries to find out the problems existing in the application of contemporary information technology in education through a questionnaire survey, and reflects on the influence of technology on teachers and students in the education system. The answers of the survey participants made it possible to present a picture of the use of information technologies in education as a holistic and complex process. The analysis of the results obtained, as well as everyday practical training in the skills of using high technologies, enabled the author to establish that the influence of information technologies on education is complex, this is a new stage in the development of education as a whole, which allows us to characterize the process of their use as a holistic system. The influence of technology has completely changed all structures and all participants in education. The results of the survey also made it possible to identify a number of problems that indicate shortcomings in the modern space of education, the didactic nature of learning in the sense of conveying and receiving information in new conditions (we are talking not only about digitalization as a process, but also about changes aimed at transforming teaching methodology).
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- 2023
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20. Utility of neutrophil–lymphocyte ratio and platelet–lymphocyte ratio in predicting acute-on-chronic liver failure survival
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Li Dong, Sun Wei, Chen Li, Gu Jing, Wu Huichun, Xu Huayu, and Gan Jianhe
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acute-on-chronic liver failure ,neutrophil–lymphocyte ratio ,monocyte–lymphocyte ratio ,Biology (General) ,QH301-705.5 - Abstract
This study explored the predictive value of the monocyte-to-lymphocyte ratio (MLR) and platelet–lymphocyte ratio (PLR) in patients with acute-on-chronic liver failure (ACLF). A retrospective analysis was carried out on 40 patients with ACLF from January 2018 and August 2019 in our hospital. The patient’s clinical information during hospitalization was collected, and their survivals were followed for 3 months. MLR and PLR values of patients were compared, and the correlation between liver function indicators and prognosis was analyzed. We observed that MLR levels in the survival and death groups were 0.521 (0.311, 0.827) and 0.741 (0.442, 1.121), respectively. MLR levels were markedly enhanced in the death group compared to the survival group (P = 0.021). The receiver operating characteristic curve (ROC) exhibited that the area under the ROC curve and 95% confidence interval for the survival group was 0.641 (0.528–0.757). Survival analysis demonstrated that the 3-month survival of the high MLR group was markedly lower than that of the low MLR group (P = 0.001). Multivariate regression exposed that MLR and PLR were independent prognostic factors for ACLF. MLR and PLR could be prospective prognosticative markers of ACLF.
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- 2023
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21. Desert Plant Recognition Method Under Natural Background Incorporating Transfer Learning and Ensemble Learning
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WANG Yapeng, CAO Shanshan, LI Quansheng, and SUN Wei
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desert plant image classification ,natural background ,ensemble learning ,transfer learning ,voting method ,dataset ,Agriculture (General) ,S1-972 ,Technology (General) ,T1-995 - Abstract
ObjectiveDesert vegetation is an indispensable part of desert ecosystems, and its conservation and restoration are crucial. Accurate identification of desert plants is an indispensable task, and is the basis of desert ecological research and conservation. The complex growth environment caused by light, soil, shadow and other vegetation increases the recognition difficulty, and the generalization ability is poor and the recognition accuracy is not guaranteed. The rapid development of modern technology provides new opportunities for plant identification and classification. By using intelligent identification algorithms, field investigators can be effectively assisted in desert plant identification and classification, thus improve efficiency and accuracy, while reduce the associated human and material costs.MethodsIn this research, the following works were carried out for the recognition of desert plant: Firstly, a training dataset of deep learning model of desert plant images in the arid and semi-arid region of Xinjiang was constructed to provide data resources and basic support for the classification and recognition of desert plant images.The desert plant image data was collected in Changji and Tacheng region from the end of September 2021 and July to August 2022, and named DPlants50. The dataset contains 50 plant species in 13 families and 43 genera with a total of 12,507 images, and the number of images for each plant ranges from 183 to 339. Secondly, a migration integration learning-based algorithm for desert plant image recognition was proposed, which could effectively improve the recognition accuracy. Taking the EfficientNet B0-B4 network as the base network, the ImageNet dataset was pre-trained by migration learning, and then an integrated learning strategy was adopted combining Bagging and Stacking, which was divided into two layers. The first layer introduced K-fold cross-validation to divide the dataset and trained K sub-models by borrowing the Stacking method. Considering that the output features of each model were the same in this study, the second layer used Bagging to integrate the output features of the first layer model by voting method, and the difference was that the same sub-models and K sub-models were compared to select the better model, so as to build the integrated model, reduce the model bias and variance, and improve the recognition performance of the model. For 50 types of desert plants, 20% of the data was divided as the test set, and the remaining 5 fold cross validation was used to divide the dataset, then can use DPi(i=1,2,…,5) represents each training or validation set. Based on the pre trained EfficientNet B0-B4 network, training and validation were conducted on 5 data subsets. Finally, the model was integrated using soft voting, hard voting, and weighted voting methods, and tested on the test set.Results and DiscussionsThe results showed that the Top-1 accuracy of the single sub-model based on EfficientNet B0 network was 92.26%~93.35%, the accuracy of the Ensemble-Soft model with soft voting, the Ensemble-Hard model with hard voting and the Ensemble-Weight model integrated by weighted voting method were 93.63%, 93.55% and 93.67%, F1 Score and accuracy were comparable, the accuracy and F1 Score of Ensemble-Weight model integrated by weighted voting method were not significantly improved compared with Ensemble-Soft model and Ensemble-hard model, but it showed that the effect of weighted voting method proposed in this study was better than both of them. The three integrated models demonstrate no noteworthy enhancements in accuracy and F1 Score when juxtaposed with the five sub-models. This observation results suggests that the homogeneity among the models constrains the effectiveness of the voting method strategy. Moreover, the recognition effects heavily hinges on the performance of the EfficientNet B0-DP5 model. Therefore, the inclusion of networks with more pronounced differences was considered as sub-models. A single sub-model based on EfficientNet B0-B4 network had the highest Top-1 accuracy of 96.65% and F1 Score of 96.71%, while Ensemble-Soft model, Ensemble-Hard model and Ensemble-Weight model got the accuracy of 99.07%, 98.91% and 99.23%, which further improved the accuracy compared to the single sub-model, and the F1 Score was basically the same as the accuracy rate, and the model performance was significant. The model integrated by the weighted voting method also improved accuracy and F1 Score for both soft and hard voting, with significant model performance and better recognition, again indicating that the weighted voting method was more effective than the other two. Validated on the publicly available dataset Oxford Flowers102, the three integrated models improved the accuracy and F1 Score of the three sub-models compared to the five sub-models by a maximum of 4.56% and 5.05%, and a minimum of 1.94% and 2.29%, which proved that the migration and integration learning strategy proposed in this paper could effectively improve the model performances.ConclusionsIn this study, a method to recognize desert plant images in natural context by integrating migration learning and integration learning was proposed, which could improve the recognition accuracy of desert plants up to 99.23% and provide a solution to the problems of low accuracy, model robustness and weak generalization of plant images in real field environment. After transferring to the server through the cloud, it can realize the accurate recognition of desert plants and serve the scenes of field investigation, teaching science and scientific experiment.
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- 2023
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22. A Combinatorial Auction Mechanism for Time–Varying Multidimensional Resource Allocation and Pricing in Fog Computing
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Li Shiyong, Zhang Yanan, Sun Wei, and Liu Jia
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fog computing ,combinatorial auction ,time-varying multidimensional resource allocation ,resource pricing ,Mathematics ,QA1-939 ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
It is a hot topic to investigate resource allocation in fog computing. However, currently resource allocation in fog computing mostly supports only fixed resources, that is, the resource requirements of users are satisfied with a fixed amount of resources during the usage time, which may result in low utility of resource providers and even cause a waste of resources. Therefore, we establish an integer programming model for the time-varying multidimensional resource allocation problem in fog computing to maximize the utility of the fog resource pool. We also design a heuristic algorithm to approximate the solution of the model. We apply a dominant-resource-based strategy for resource allocation to improve resource utilization as well as critical value theory for resource pricing to enhance the utility of the fog resource pool. We also prove that the algorithm satisfies truthful and individual rationality. Finally, we give some numerical examples to demonstrate the performance of the algorithm. Compared with existing studies, our approach can improve resource utilization and maximize the utility of the fog resource pool.
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- 2023
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23. Self-locking and Efficiency Maximization Design of a 3K-H Planetary Gear Train
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Huang Junpeng, Kong Jianyi, Sun Wei, Xing Xing'ao, and Li Baoyi
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3K-H ,Planetary gear train ,Transmission ratio method ,Efficiency ,Self-locking ,Mechanical engineering and machinery ,TJ1-1570 - Abstract
Planetary gear train is mainly used for power transmission, so it is of great significance to study its self-locking and efficiency. In this study, the self-locking analysis and efficiency maximization design of a 3K-H planetary gear train are carried out. Firstly, the efficiency of the positive and negative mechanism of the gear train is calculated using the transmission ratio method. Then, a unified formula for the efficiency of the planetary gear train is summarized. Furthermore, the efficiency curve is drawn by Matlab. Next, the trend of efficiency change of the planetary gear train and the conditions for realizing self-locking are analyzed. Finally, how to maximize the efficiency of the opposite mechanism under the condition of self-locking is studied.
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- 2023
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24. Establishment and efficacy of optimization strategy for large-scale nucleic acid collection in makeshift COVID-19 hospitals
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LI Mao, ZHOU Xiaoping, SUN Wei, YOU Jianping, MAO Qing, and YANG Sha
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covid-19 ,makeshift hospital ,throat swab collection ,optimization strategy ,Medicine (General) ,R5-920 - Abstract
Objective To explore and construct an optimization strategy for large-scale nucleic acid collection mode in the emergency conditions of putting the makeshift COVID-19 hospitals into use. Methods A self-pre- and post- control study was conducted on 542 COVID-19 patients in the makeshift hospital located in National Exhibition and Convention Center (Shanghai) in April 2022. According to the elution period with an interval of 1 week, nucleic acid collection was carried out in red-zone package mode, in-cabin and out-cabin linkage mode and integrated precision sampling mode, and the consuming time of work was recorded. The electronic survey used to detect the satisfaction of patients. At the same time, the results of the levels of teamwork, patient cooperation and satisfaction of 106 medical staff participating in nucleic acid testing under the above different sampling modes were collected. Results The work consumption time of the integrated precision sampling mode was significantly shorter than that of the other two sampling modes (P < 0.01), the percentage patient satisfaction rate in the integrated precision sampling mode was higher than that of the other two sampling modes (P < 0.05), and the team cooperation, patient cooperation, and the percentage of satisfaction of medical staff were significantly higher than those of the other two sampling modes (P < 0.01) in the integrated precision sampling mode. Conclusion The integrated precision sampling mode can significantly shorten the sampling time in large-scale nucleic acid collection, effectively improve the degree of cooperation between doctors and patients in sampling work and increase the satisfaction of patients and medical staff during the sampling process.
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- 2023
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25. Research on Splicing and Testing of Multi-core Optical Fiber
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ZHANG Gong-hui, CHEN Wei, SUN Wei, LI Ping, TAO Quan, WANG Ya-ling, and HAO Chang-ping
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MCF ,MCF splicing ,MCF testing ,SDM ,Shannon limit ,Applied optics. Photonics ,TA1501-1820 - Abstract
Multi Core Fiber (MCF) is an important transmission medium of Space Division Multiplexing (SDM) technology, which can significantly enhance the communication capacity of existing optical fiber. However, MCF has the problems of high structural complexity, difficult to test, and no test standard for parameters. According to the structural characteristics, combined with the technical experience in the development, this paper standardize the splicing method and the parameters testing method of MCF, which lays the foundation for the large-scale commercialization of MCF in the future.
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- 2023
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26. The crystal structure of 3,4-dihydroxybenzoic acid – 3-[7-{[2-(3,4-difluorophenyl)cyclopropyl]amino}-5-(propylsulfanyl)-3H-[1,2,3] triazolo[4,5-d]pyrimidin-3-yl]-5-(2-hydroxyethoxy)cyclopentane-1,2-diol – water (1/1/1), C30H36F2N6O9S
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Xia Ying-Fan, Lu Rong-Bin, Sun Wei-Jie, Lin Shu-Ting, Zhang Jia-Rong, and Jiang Cheng-Jun
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2224327 ,Physics ,QC1-999 ,Crystallography ,QD901-999 - Abstract
C30H36F2N6O9S, orthorhombic, P212121 (no. 19), a = 5.2364(8) Å, b = 10.0250(14) Å, c = 59.689(9) Å, V = 3133.4(8) Å3, Z = 4, Rgt(F) = 0.0384, wRref(F2) = 0.0969, T = 170 K.
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- 2023
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27. Changes of brain activation and networks in patients with spinal cord injury based on functional near⁃infrared spectroscopy
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SUN Zhi⁃fang, LI Xing⁃lou, SUN Wei⁃zhen, LUO Mei⁃ling, and WANG Yong⁃hui
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spinal cord injuries ,spectroscopy near⁃infrared ,oxyhemoglobins ,functional connectivity (not in mesh) ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Objective To investigate the changes of brain activation and brain network connectivity in patients with spinal cord injury (SCI). Methods A total of 20 patients with SCI were selected from Qilu Hospital of Shandong University from January to October 2021, including 8 patients with simple lower extremity involvement (paraplegia group) and 12 patients with all limbs involvement (tetraplegia group), and 10 healthy controls with matched baseline data with the SCI group were included in the same period. Functional near⁃infrared spectroscopy (fNIRS) was used to collect the data of cerebral oxyhemoglobin (HbO2) in the bilateral prefrontal lobe (LPFC/RPFC), motor cortex (LMC/RMC) and occipital lobe (LOL/ROL). The resting HbO2 β values was calculated by generalized linear model to evaluate the activation degree of the cerebral cortex covered by different detection channels, the correlation between HbO2 β values was calculated by Pearson correlation analysis and partial correlation to analysis different detection channels [partial correlation coefficient (r) was defined as functional connectivity strength] to evaluate the functional connectivity of the brain network. Results 1) Degree of brain activation: compared with the control group, the HbO2 β values corresponding to channel 2 (t=⁃2.482, P=0.020), channel 8 (t=⁃3.315, P=0.003) and channel 16 (t=⁃2.738, P=0.011) was increased in the tetraplegia group, while the HbO2 β value corresponding to channel 25 was decreased (t=2.104, P=0.045), and the HbO2 β value of channel 8 was increased (t=⁃2.475, P=0.020) in paraplegia group. Compared with the tetraplegia group, the HbO2 β values in channel 17 (t=2.552, P=0.017) and channel 25 (t=2.342, P=0.027) were increased in the paraplegia group. The value of HbO2 β in the left prefrontal lobe of tetraplegia group was significantly higher than that of control group (t=2.652, P=0.013). 2) The number of functional connections between different channels and cerebral cortex: the proportion of channels related to motor cortex in different groups was 94.12% in the paraplegia group (32/34), 82.76% in the tetraplegia group (24/29), and only 74.36% in the control group (29/39). 3) Functional connectivity strength in the brain: compared with the control group, the functional connectivity strength in the right motor area was weakened in both the paraplegia group (t=4.572, P=0.000) and the tetraplegia group (t=4.822, P=0.000). Conclusions There are abnormalities in resting brain activation and functional connectivity of brain network after SCI, which are manifested as local enhancement of spontaneous neural activity in some brain regions and abnormal functional connectivity in cerebral cortices and brain regions.
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- 2022
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28. Optimization on processing technology of peppermint essential oil wet-capsule by ultrasonic-assisted ionic crosslinking
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SUN Wei-wei, DUAN Li-ping, CAI Cao, CHEN Hao, CHEN Jian, MIAO Li-kun, and CHEN Sheng
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ultrasonic ,ionic crosslinking ,peppermint essential oil ,capsule ,strength ,roundness ,Food processing and manufacture ,TP368-456 - Abstract
Objective: The effect of ultrasonic-assisted ionic crosslinking method on the peppermint capsule roundness was studied. Methods: The optimal treatment process was obtained through response surface optimization method, and the quality indicators of peppermint capsule was analyzed. Results: The results showed that, the optimum conditions of ionic crosslinking method were calcium ion mass fraction of 0.4%, soaking time of 20 min, solid/liquid ratio of 1.3∶1.0 (mL/g). Under the conditions, the strength of wet-capsule was 11.5 N, and the roundness of capsule was 0.033 mm. The optimum conditions of ultrasonic-assisted ionic crosslinking method were: ultrasonic time of 10 min, ultrasonic power of 105 W, ultrasonic temperature of 25 ℃. Under the conditions, the strength of wet-capsule was 14.7 N, and the roundness of capsule was 0.028 mm. Conclusion: Compared with the traditional ionic crosslinking method, the strength of the wet-capsule was increased by 27.8%, the roundness of the capsule product was decreased from 0.075 mm to 0.028 mm, and the product yield was increased from 83.7% to 98.3%, which showed that the quality of the peppermint capsule was obviously improved. The ultrasonic-assisted ionic crosslinking has the advantages of simple process and high efficiency, which could provide a reference for the development of capsule preparation technology.
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- 2022
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29. Spinocerebellar ataxia 2 presenting as Parkinsonism: two families report and literatures review
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WAN Ya⁃lan, JIANG Yan⁃yan, ZHOU Hong, ZHENG Yi⁃ming, LÜ He, ZHAO Gui⁃ping, CHEN Jing, SUN Wei, and WANG Zhao⁃xia
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spinocerebellar ataxias ,parkinsonian disorders ,genes ,mutation ,trinucleotide repeat expansion ,pedigree ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Objective To summarize the clinical, imaging and genetic characteristics of spinocerebellar ataxia 2 (SCA2) families presenting as Parkinsonism. Methods and Results Two families with autosomal dominant SCA2 with Parkinson's syndrome diagnosed by genetic test in Peking University First Hospital from May 2019 to December 2020 were included. The probands in 2 families manifested as lead⁃pipe like rigidity and cerebellum ataxia. Electronystagmography (ENG) in proband of family 1 showed gaze nystagmus, understable saccade, decreased smooth tracking ability and disappeared optokinetic nystagmus, proband of family 2 showed slow saccade, decreased smooth tracking ability and decreased optokinetic nystagmus. Head MRI in both probands of 2 families showed slightly enlarged third ventricle, while the proband of family 2 showed atrophy in brain stem and cerebellar. Whole exome sequencing (WES) in 2 probands showed no gene mutations, Sanger sequencing showed dynamic mutation of ATXN2 gene and the copy number of cytosine⁃adenine⁃guanine (CAG) with 37 repeats. Two probands were finally diagnosed as SCA2, and two pedigrees were diagnosed as SCA2 pedigrees. Conclusions SCA2 can present as Parkinsonism, which is easily to be misdiagnosed as Parkinson's disease due to the effective treatment of levodopa. ENG is helpful in detecting subclinical cerebellar lesions. For Parkinsonism patients with family history, especially when cerebellar lesions are involved, ATXN2 gene testing is recommended.
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- 2022
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30. The application of susceptibility⁃weighted imaging in cerebral vascular disease
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LI Jie⁃yu, YU Lei, and SUN Wei⁃ping
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cerebrovascular disorders ,magnetic resonance imaging ,review ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Susceptibility ⁃weighted imaging (SWI) is a type of MRI developed based on gradient echo sequence (GRE). It is extremely susceptible to paramagnetic substances. The application of SWI has spread to various aspects of clinical practice, including the assessment of brain perfusion and collateral circulation, and the prognosis of intracranial venous system thrombosis. Furthermore, the sign of intracranial arterial thrombi on SWI helps to evaluate the etiology and outcome of ischemic stroke. To provide more information on the diagnosis, evaluation, and treatment of cerebrovascular diseases, we reviewed the application of SWI in cerebrovascular disease.
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- 2022
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31. Real-time measurement of fluorescent oil film motion path based on GPU
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WU Peiling, ZHANG Zhengyu, and SUN Wei
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optical flow method ,image block ,critical constraint ,fluorescent oil film ,shared memory ,Motor vehicles. Aeronautics. Astronautics ,TL1-4050 - Abstract
In the wind tunnel experiment, the existing CPU-based optical flow method takes too long to solve the velocity field of the fluorescent oil film, while the GPU-based optical flow method has the problem of insufficient utilization of GPU resources.To this end, a real-time measurement method of GPU fluorescent oil film motion path based on fluorescent oil film image segmentation and critical constraints is proposed.The fluorescent oil film time-series image is divided into blocks and processed in parallel according to the resources of the GPU, and the corresponding optical flow parallel computing strategy is created, that is, the advantages of the parallel pipeline architecture of the GPU and the shared memory are fully utilized to realize the optical flow calculation of each parallel block.At the same time, combined with the critical constraints between blocks, the number of iterative calculations is controlled by the iterative difference of the speed matrix of each block as a symbol.The experimental results show that the method proposed in this paper is 2 789.5 times faster than the traditional CPU-based optical flow method under the condition of ensuring the calculation accuracy of the velocity field of the fluorescent oil film motion, and the average speed of the GPU optical flow method of the whole frame image is improved.10.09 times and the real-time solution speed can reach 90 frames per second.
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- 2023
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32. Analysis of de-bonding and failure mechanism of anchored composite strata under compression shear load
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ZHAO Zenghui, CHEN Baosen, FENG Yuanhui, SUN Wei, and LIU Hao
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compound strata ,through beds anchorage ,structure effect ,de-bonding failure ,stiffness reduction rate ,Mining engineering. Metallurgy ,TN1-997 - Abstract
Aiming at the anchoring failure of heterogeneous rock strata, based on bolt bilinear strengthening constitutive model and considering the deterioration of tension and compression stiffness of bonded layer, a three-dimensional refined numerical calculation model of heterogeneous rock strata, bonded layer and bolt anchoring system was constructed. The stress transfer law of anchor bolt and deformation and failure characteristics of anchor system under granite-granite(H-H), granite-sandstone(H-S), sandstone-granite(S-H) and sandstone-sandstone(S-S) rock combinations were analyzed, and the influence law of different lithologic combinations on shear mechanical properties of anchor composite rock strata was revealed. The results show that the shear resistance is mainly in the local area of the bedding surface under compression shear state, and the maximum shear stress exists near the bedding surface. The peak value of bolt normal stress is related to the sequence of bolt penetration. Under the same boundary condition, the effect of rock bolt limiting shear movement of homogeneous hard rock is the best. The anchorage system near the bedding surface is prone to de-bonding failure and the position with large reduction rate of the stiffness of the bonded layer is always located in the soft rock part.
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- 2022
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33. Application Scenarios and Research Progress of Remote Sensing Technology in Plant Income Insurance
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CHEN Ailian, ZHAO Sijian, ZHU Yuxia, SUN Wei, ZHANG jing, and ZHANG Qiao
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remote sensing ,agricultural insurance ,plant income insurance ,precise claim settlement ,yield estimation ,cultivated land extraction ,disaster estimation ,remote sensing data sources ,Agriculture (General) ,S1-972 ,Technology (General) ,T1-995 - Abstract
Plant income insurance has become an important part of agricultural insurance in China. It has been recommended to pilot since 2016 by Chinese government in several counties, and is now (2022) required to be implemented in all major grain producing counties in the 13 major grain producing provinces. The measurement of yield for plant income insurance in such huge volume urgently needs the support of remote sensing technology. Therefore, the development history and application status of remote sensing technology in the whole agricultural insurance industry was reviewed to help understanding the whole context circumstances of plant income insurance firstly. Then, the application scenarios of remote sensing technology were analyzed, and the key remote sensing technologies involved were introduced. The technologies involved include crop field plot extraction, crop classification, crop disaster estimation, and crop yield estimation. Research progress of these technologies were reviewed and summarized ,and the satellite data sources that most commonly used in plant income insurance were summarized as well. It was found that to obtain a better support for a development of plant income insurance as well as all crop insurance from remote sensing communities, issues existed not only in the involved remote sensing technologies, but also in the remote sensing industry as well as the insurance industry. The most two important technical problems in the current application scenario of planting income insurance are that: the plot extraction and crop classification are not automated enough; the yield estimation mechanism is not strong, and the accuracy is not high. At the industry level, the first issue is the limitation of the remote sensing technology itself in that the remote sensing is not almighty, suffering from limited data source, either from satellite or from other platform, laborious data preprocessing, and pricey data fees for most of the data, and the second is the compatibility between the current business of the insurance industry and the combination of remote sensing. In this regard, this paper proposed in total five specific suggestions, which are: 1st, to establish a data distribution platform to solve the problems of difficult data acquisition and processing and standardization of initial data; 2nd, to improve the sample database to promote the automation of plot extraction and crop classification; 3rd, to achieve faster, more accurate and more scientific yields through multidisciplinary research; 4th, to standardize remote sensing technology application in agricultural insurance, and 5th, to write remote sensing applications in crop insurance contract. With these improvements, the application mode of plant income insurance and probably the whole agriculture insurance would run in a way with easily available data, more automated and intelligent technology, standards to follow, and contract endorsements.
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- 2022
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34. Optimizing Online Teaching: Total Quality Management in Action for Quality Assurance Measures
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Sun Wei and Guozhen Yin
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The large-scale online teaching amid the pandemic triggered increasing concern over online teaching management and quality assurance. Take the theory of Total Quality Management (TQM) as guidance, a Chinese higher education institution (CHEI) built a multi-level, multi-link, and multi-dimensional teaching quality monitoring system (Online Teaching Quality Assurance Measures) with full participation, whole process, and all-round development by innovating teaching quality management and monitoring mechanism, aiming to ensure the continuous improvement of talent training quality to realize the sustainable development of application-oriented undergraduate universities with quality improvement as the core. The effectiveness of online teaching quality was demonstrated through the Questionnaire of Student Evaluation of Online Teaching Faculty and students' academic performance (GPA) before and after the implementation of Online Teaching Quality Assurance Measures, guided by the principles of Total Quality Management theory. The results indicated that Online Teaching Quality Assurance Measures have a series of positive effects on online teaching in CHEI, and systematically guide online instructors as evidenced by outstanding ratings and feedback in course evaluations and students' academic performance. This study also revealed that CHEI's online teaching is facing some challenges, especially in the effort to promote learning interaction and teaching cooperation. The study underscored the importance of continuous improvement and provided some interventions in enhancing online educational practices, aligning with TQM principles. The findings are expected to make an important contribution to the field of online teaching quality management in higher education.
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- 2024
35. Practical Methods for Determining Soil Strength Parameters in Offshore Wind Power Geotechnical Investigation
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LI Zhongxin, SUN Xiaoxiong, LIU Donghua, JIA Hongwai, and SUN Wei
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the friction angle of sand ,offshore wind farm ,site investigation ,static cone pentration test ,standard penetration test ,Energy industries. Energy policy. Fuel trade ,HD9502-9502.5 - Abstract
[Introduction] In order to determine soil strength parameters more accurately and reliably, based on domestic and foreign engineering experience and research results, this paper proposes a practical method to obtain the undrained shear strength of clay and the friction angle of sand based on static cone pentration test (CPT) and standard penetration test (SPT) data. [Method] Firstly, it introduced the method of rapid stratification based on the four basic data of CPT, aiming to divide the sand layer and clay laye. Then the method of calculating the empirical coefficient Nkt of the undrained shear strength of clay based on the CPT parameters was introduced. Finally, a method of comprehensively considering CPT and standard penetration data and calculating the internal friction angle of sand based on empirical methods was introduced. [Rseult] According to the method of CPT parameter estimation, the obtained clay undrained shear strength is well compared with the laboratory test results which can obtain the clay undrained shear strength profile. The combined method of CPT and SPT can measure the friction angle of sand reliably, which fills the gaps of test data due to the difficulty in obtaining sand samples from offshore exploration. [Conclusion] The method discussed in this paper can provide more reliable reference for determining th design values of soil strength considering the existing condition in which offshore survey methods are limited and the equipment resources are relatively scarce.
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- 2021
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36. Oscillatory hyper-Hilbert transform on Wiener amalgam spaces
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Sun Wei, Xie Ru-Long, and Xu Liang-Yu
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oscillatory integral ,wiener amalgam spaces ,curves ,product domain ,42b20 ,42b25 ,Mathematics ,QA1-939 - Abstract
We study the boundedness of the oscillatory integral Tα,βf(x,y)=∫Q2f(x−γ1(t),y−γ2(s))e−2πit−β1s−β2t−α1−1s−α2−1dtds{T}_{\alpha ,\beta }f\left(x,y)=\mathop{\int }\limits_{{Q}^{2}}f\left(x-{\gamma }_{1}\left(t),y-{\gamma }_{2}\left(s)){e}^{-2\pi i{t}^{-{\beta }_{1}}{s}^{-{\beta }_{2}}}{t}^{{-\alpha }_{1}-1}{s}^{-{\alpha }_{2}-1}{\rm{d}}t{\rm{d}}s on Wiener amalgam spaces, where Q2=[0,1]×[0,1]{Q}^{2}=\left[0,1]\times \left[0,1] is the unit square in two dimensions, (x,y)∈Rn×Rm,γ1(t)=(tp1,tp2,…,tpn),γ2(s)=(sq1,sq2,…,sqm)\left(x,y)\in {{\mathbb{R}}}^{n}\times {{\mathbb{R}}}^{m},{\gamma }_{1}\left(t)=\left({t}^{{p}_{1}},{t}^{{p}_{2}},\ldots ,{t}^{{p}_{n}}),{\gamma }_{2}\left(s)=\left({s}^{{q}_{1}},{s}^{{q}_{2}},\ldots ,{s}^{{q}_{m}}) are homogeneous curves on Rn{{\mathbb{R}}}^{n} and Rm{{\mathbb{R}}}^{m}.
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- 2021
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37. Experimental study on compressive properties of CFRP laminates at high temperatures via digital image correlation
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YANG Yang, CHEN Xin-wen, SUN Wei, MA Li-ting, WANG Xiang, and GUO Guang-ping
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digital image correlation ,composite ,high temperature test ,compressive property ,fracture morphology ,Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
The high-temperature compressive properties are indispensable mechanical performance parameters for the structural design of composites, but it is difficult to be measured effectively by traditional techniques. In this study, the high temperature compressive experiment of carbon fiber reinforced plastics (CFRP) laminates was conducted in high-temperature experimental system based on digital image correlation (DIC) method. And the compressive properties, stress-strain curves and the evolution of axial full-field strain of CCF300/5228A with 0° and 90° ply-ups at 130℃ were obtained. Moreover, they were compared with those obtained at room temperature. Furthermore, the fracture analysis of the compressed specimens was carried out through scanning electron microscopy (SEM), meanwhile the effects of high temperature and lay-up on the compressive properties were discussed combining with the experimental results. Finally, an experimental verification was carried out and the results obtained demonstrated the feasibility and reliability of the experimental system and relevant experimental methods. The results show that the retention rate of 0° and 90° compressive strength at 130℃ are 70.5% and 62.6%, respectively, while the retention rate of compressive modulus are 88.0% and 75.4%, respectively, indicating that the strength and modulus of the laminates which are controlled by the matrix are more sensitive to high temperature.
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- 2021
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38. Infratentorial superficial siderosis of central nervous system: three cases report and literature review
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SUN Yun⁃chuang, LI Fan, JIN Hai⁃qiang, WANG Zhao⁃xia, and SUN Wei
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hemosiderosis ,central nervous system ,dura mater ,cerebrospinal fluid ,magnetic resonance imaging ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Objective To report 3 cases of infratentorial superficial siderosis of central nervous system and analyze its etiology and clinical manifestations. Methods and Results The main clinical symptoms were recurrent headache or epilepsy (3 cases) with obvious hearing loss (2 cases); the appearance of cerebrospinal fluid of lumbar puncture was cloudy and bloody fluid, with increased red blood cell count and protein quantity (2 cases). MRI scan of head or cervical spine showed siderosis deposition on the surface of cerebellum hemisphere, pons and midbrain without enhancement, and occupying lesion at jugular foramen was seen at the same time (Case 1); tortuous vessels on the surface of cervical spinal cord, epidural effusion at the level of C6⁃7 vertebral body, C7 dural defect (Case 2) or paraventricular hemorrhage (Case 3). There were no abnormal findings in angiography of the whole brain. The clinical diagnosis was infratentorial superficial siderosis of central nervous system (type Ⅰ 2 cases, type Ⅱ 1 case). The causes were neurilemmoma, traumatic dural defect or cerebrovascular malformation. According to the cause of the disease, the left C7 dural defect repair (Case 2) or left occipital lobe hematoma removal (Case 3) were performed. The patients' condition improved significantly and the headache disappeared. Conclusions The etiology of infratentorial superficial siderosis of central nervous system is heterogeneous. Detailed auxiliary examination is of great significance in avoiding misdiagnosis or missed diagnosis.
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- 2021
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39. Analysis on Phenomena of HPR1000 Large Break Loss of Coolant Accident Based on TRACE Code
- Author
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SUN Wei;XU Chao;FU Hao;LIU Yusheng
- Subjects
hpr1000 ,large break loss of coolant accident ,phenomena analysis ,trace code ,Nuclear engineering. Atomic power ,TK9001-9401 ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
HPR1000 is the Generation Ⅲ pressurized water reactor (PWR)technology independently developed by China. In order to deal with the steam generator tube rupture (SGTR) accident and prevent pressurizer overflow, HPR1000 adopts some new features such as the combination of active and passive safety system, the reduction of pressure setting value of safety injection system, rapid cooling at the secondary side of steam generator. In order to analyze the impact of new design characteristics of HPR1000 on sequence and thermalhydraulic phenomena in large break loss of coolant accident (LBLOCA), the numerical simulation of LBLOCA for HPR1000 was carried out using TRACE, which had been approved by United States Nuclear Regulatory Commission (NRC) as a best estimate system analysis code. The most challenging accident condition, namely combination of the most dangerous break location and the most dangerous size, were selected from the perspective of nuclear safety review. The LBLOCA sequence of HPR1000 was obtained and analyzed. The critical moments in the simulated LBLOCA process were compared with that of other typical commercial PWR such as CPR1000 and AP1000 in the sequence of accident and response strategies. According to the typical characteristics of thermalhydraulic phenomena, the accident process was then divided into four stages, namely blowdown phase, refilling phase, reflooding phase and long term cooling phase. The main thermalhydraulic phenomena in different accident stages except the long term cooling phase were identified and evaluated. The integral phenomena involved in the HPR1000 LBLOCA were depressurization of reactor coolant system (RCS), the coolant flow from core and intact RCS loop to broken loop, the safety injection flow and bypass flow of accumulator (ACC). While the local phenomena were mainly blowdown flow at break, countercurrent flow limitations (CCFL) in downcomer and other channels with complex geometry, heat transfer in the core, twophase flow and steam entrainment in the core, etc. The dominant factors during the accident process were pressure difference between the break and RCS, the pressure difference between ACC and RCS, core decay heat power and heat stored on the thick wall of RCS components. The results show that the main factors influencing the accident process are the mass flow rate of the break and the pressure setting value of accumulator in the LBLOCA of HPR1000. The accident sequence and phenomena are basically consistent with the existing commercial PWR nuclear power plants. The key phenomena identified based on the calculation results can provide technical support and reference for the phenomenon identification and ranking, scaling analysis, and nuclear safety review.
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- 2022
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40. Research on the Diversity of Insecticidal Proteins Derived from Microorganisms
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SONG Jia, YAN Xue, XIA Li-yuan, SUN Wei-wei, SUN bo, FAN Huan, WANG Wen-jie, and ZHAO Chen
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insecticidal protein ,microbial source ,bacillus ,entomopathogenic nematodes ,pseudomonas ,fungi ,diversity ,Food processing and manufacture ,TP368-456 ,Nutrition. Foods and food supply ,TX341-641 - Abstract
Insect problem has been one of the most severe problems in agriculture and forestry, which causes great economic losses to the primary industry in China. For a long time, the use of chemical insecticides for insect control has led to many issues, such as pollution, insect resistance, etc. Therefore, in recent years, the research and application on biological pesticides of broad spectrum, high efficiency and low toxicity is increasing. Insecticidal proteins, especially those of microbial source, as an important branch of biological insecticides, have been continuously developed and applied due to their excellent insecticidal potential. This paper aims to classify the information on insecticidal proteins from microorganism over the world, and to provide fresh opinions for the application of insecticidal proteins in agriculture, forestry and other industries in China.
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- 2021
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41. Tensile fatigue properties of carbon fiber reinforced composite orthogonal laminates after moisture absorption
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ZHANG Xiang-lin, MENG Qing-chun, XU Ming-rui, ZENG Ben-yin, CHENG Xiao-quan, and SUN Wei
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composite ,orthogonal laminate ,humidity ,tensile fatigue ,damage ,Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
The fatigue performance of composite structures in wet environment will be degraded seriously, which will affect the structure safety. Therefore, the influence of wet environment should be taken into consideration when determining the structure life. The tensile fatigue properties of carbon fiber reinforced composite orthotropic laminates in wet and dry state at room temperature were tested. The influence of saturated moisture absorption on the tensile fatigue properties was studied. The S-N curves of two kinds of environments were obtained. On this basis, the finite element models were established, and the fatigue life and damage evolution of the orthotropic laminate after moisture absorption were predicted. The calculated results agree well with the test results, which prove the validity of the model. The results show that the saturated moisture absorption has a great influence on the tensile fatigue properties of orthogonal laminate. After moisture absorption, the tensile fatigue life of the laminates is significantly lower than that of the laminates in dry state, and the slope of S-N curve is slightly lower. The fiber damage initiation and propagation of laminate are also different from those in dry state.
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- 2021
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42. Bilateral boundary finite-time stabilization of 2x2 linear first-order hyperbolic systems with spatially varying coefficients
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Sun, Wei, Li, Jing, and Xu, Liangyu
- Subjects
Mathematics - Optimization and Control ,Mathematics - Analysis of PDEs ,35L04, 35L40, 93D15 - Abstract
This paper presents bilateral control laws for one-dimensional(1-D) linear 2x2 hyperbolic first-order systems (with spatially varying coefficients). Bilateral control means there are two actuators at each end of the domain. This situation becomes more complex as the transport velocities are no longer constant, and this extension is nontrivial. By selecting the appropriate backstepping transformation and target system, the infinite-dimensional backstepping method is extended and a full-state feedback control law is given that ensures the closed-loop system converges to its zero equilibrium in finite time. The design of bilateral controllers enables a potential for fault-tolerant designs.
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- 2024
43. Assessing UHD Image Quality from Aesthetics, Distortions, and Saliency
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Sun, Wei, Zhang, Weixia, Cao, Yuqin, Cao, Linhan, Jia, Jun, Chen, Zijian, Zhang, Zicheng, Min, Xiongkuo, and Zhai, Guangtao
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Computer Science - Computer Vision and Pattern Recognition ,Electrical Engineering and Systems Science - Image and Video Processing - Abstract
UHD images, typically with resolutions equal to or higher than 4K, pose a significant challenge for efficient image quality assessment (IQA) algorithms, as adopting full-resolution images as inputs leads to overwhelming computational complexity and commonly used pre-processing methods like resizing or cropping may cause substantial loss of detail. To address this problem, we design a multi-branch deep neural network (DNN) to assess the quality of UHD images from three perspectives: global aesthetic characteristics, local technical distortions, and salient content perception. Specifically, aesthetic features are extracted from low-resolution images downsampled from the UHD ones, which lose high-frequency texture information but still preserve the global aesthetics characteristics. Technical distortions are measured using a fragment image composed of mini-patches cropped from UHD images based on the grid mini-patch sampling strategy. The salient content of UHD images is detected and cropped to extract quality-aware features from the salient regions. We adopt the Swin Transformer Tiny as the backbone networks to extract features from these three perspectives. The extracted features are concatenated and regressed into quality scores by a two-layer multi-layer perceptron (MLP) network. We employ the mean square error (MSE) loss to optimize prediction accuracy and the fidelity loss to optimize prediction monotonicity. Experimental results show that the proposed model achieves the best performance on the UHD-IQA dataset while maintaining the lowest computational complexity, demonstrating its effectiveness and efficiency. Moreover, the proposed model won first prize in ECCV AIM 2024 UHD-IQA Challenge. The code is available at https://github.com/sunwei925/UIQA., Comment: The proposed model won first prize in ECCV AIM 2024 Pushing the Boundaries of Blind Photo Quality Assessment Challenge
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- 2024
44. LMM-VQA: Advancing Video Quality Assessment with Large Multimodal Models
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Ge, Qihang, Sun, Wei, Zhang, Yu, Li, Yunhao, Ji, Zhongpeng, Sun, Fengyu, Jui, Shangling, Min, Xiongkuo, and Zhai, Guangtao
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence - Abstract
The explosive growth of videos on streaming media platforms has underscored the urgent need for effective video quality assessment (VQA) algorithms to monitor and perceptually optimize the quality of streaming videos. However, VQA remains an extremely challenging task due to the diverse video content and the complex spatial and temporal distortions, thus necessitating more advanced methods to address these issues. Nowadays, large multimodal models (LMMs), such as GPT-4V, have exhibited strong capabilities for various visual understanding tasks, motivating us to leverage the powerful multimodal representation ability of LMMs to solve the VQA task. Therefore, we propose the first Large Multi-Modal Video Quality Assessment (LMM-VQA) model, which introduces a novel spatiotemporal visual modeling strategy for quality-aware feature extraction. Specifically, we first reformulate the quality regression problem into a question and answering (Q&A) task and construct Q&A prompts for VQA instruction tuning. Then, we design a spatiotemporal vision encoder to extract spatial and temporal features to represent the quality characteristics of videos, which are subsequently mapped into the language space by the spatiotemporal projector for modality alignment. Finally, the aligned visual tokens and the quality-inquired text tokens are aggregated as inputs for the large language model (LLM) to generate the quality score and level. Extensive experiments demonstrate that LMM-VQA achieves state-of-the-art performance across five VQA benchmarks, exhibiting an average improvement of $5\%$ in generalization ability over existing methods. Furthermore, due to the advanced design of the spatiotemporal encoder and projector, LMM-VQA also performs exceptionally well on general video understanding tasks, further validating its effectiveness. Our code will be released at https://github.com/Sueqk/LMM-VQA.
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- 2024
45. AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results
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Smirnov, Maksim, Gushchin, Aleksandr, Antsiferova, Anastasia, Vatolin, Dmitry, Timofte, Radu, Jia, Ziheng, Zhang, Zicheng, Sun, Wei, Qian, Jiaying, Cao, Yuqin, Sun, Yinan, Zhu, Yuxin, Min, Xiongkuo, Zhai, Guangtao, De, Kanjar, Luo, Qing, Zhang, Ao-Xiang, Zhang, Peng, Lei, Haibo, Jiang, Linyan, Li, Yaqing, Meng, Wenhui, Tan, Xiaoheng, Wang, Haiqiang, Xu, Xiaozhong, Liu, Shan, Chen, Zhenzhong, Cheng, Zhengxue, Xiao, Jiahao, Xu, Jun, He, Chenlong, Zheng, Qi, Zhu, Ruoxi, Li, Min, Fan, Yibo, and Tu, Zhengzhong
- Subjects
Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Multimedia - Abstract
Video quality assessment (VQA) is a crucial task in the development of video compression standards, as it directly impacts the viewer experience. This paper presents the results of the Compressed Video Quality Assessment challenge, held in conjunction with the Advances in Image Manipulation (AIM) workshop at ECCV 2024. The challenge aimed to evaluate the performance of VQA methods on a diverse dataset of 459 videos, encoded with 14 codecs of various compression standards (AVC/H.264, HEVC/H.265, AV1, and VVC/H.266) and containing a comprehensive collection of compression artifacts. To measure the methods performance, we employed traditional correlation coefficients between their predictions and subjective scores, which were collected via large-scale crowdsourced pairwise human comparisons. For training purposes, participants were provided with the Compressed Video Quality Assessment Dataset (CVQAD), a previously developed dataset of 1022 videos. Up to 30 participating teams registered for the challenge, while we report the results of 6 teams, which submitted valid final solutions and code for reproducing the results. Moreover, we calculated and present the performance of state-of-the-art VQA methods on the developed dataset, providing a comprehensive benchmark for future research. The dataset, results, and online leaderboard are publicly available at https://challenges.videoprocessing.ai/challenges/compressedvideo-quality-assessment.html.
- Published
- 2024
46. Depth-guided Texture Diffusion for Image Semantic Segmentation
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Sun, Wei, Li, Yuan, Ye, Qixiang, Jiao, Jianbin, and Zhou, Yanzhao
- Subjects
Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence - Abstract
Depth information provides valuable insights into the 3D structure especially the outline of objects, which can be utilized to improve the semantic segmentation tasks. However, a naive fusion of depth information can disrupt feature and compromise accuracy due to the modality gap between the depth and the vision. In this work, we introduce a Depth-guided Texture Diffusion approach that effectively tackles the outlined challenge. Our method extracts low-level features from edges and textures to create a texture image. This image is then selectively diffused across the depth map, enhancing structural information vital for precisely extracting object outlines. By integrating this enriched depth map with the original RGB image into a joint feature embedding, our method effectively bridges the disparity between the depth map and the image, enabling more accurate semantic segmentation. We conduct comprehensive experiments across diverse, commonly-used datasets spanning a wide range of semantic segmentation tasks, including Camouflaged Object Detection (COD), Salient Object Detection (SOD), and indoor semantic segmentation. With source-free estimated depth or depth captured by depth cameras, our method consistently outperforms existing baselines and achieves new state-of-theart results, demonstrating the effectiveness of our Depth-guided Texture Diffusion for image semantic segmentation.
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- 2024
47. Correspondence-Guided SfM-Free 3D Gaussian Splatting for NVS
- Author
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Sun, Wei, Zhang, Xiaosong, Wan, Fang, Zhou, Yanzhao, Li, Yuan, Ye, Qixiang, and Jiao, Jianbin
- Subjects
Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence - Abstract
Novel View Synthesis (NVS) without Structure-from-Motion (SfM) pre-processed camera poses--referred to as SfM-free methods--is crucial for promoting rapid response capabilities and enhancing robustness against variable operating conditions. Recent SfM-free methods have integrated pose optimization, designing end-to-end frameworks for joint camera pose estimation and NVS. However, most existing works rely on per-pixel image loss functions, such as L2 loss. In SfM-free methods, inaccurate initial poses lead to misalignment issue, which, under the constraints of per-pixel image loss functions, results in excessive gradients, causing unstable optimization and poor convergence for NVS. In this study, we propose a correspondence-guided SfM-free 3D Gaussian splatting for NVS. We use correspondences between the target and the rendered result to achieve better pixel alignment, facilitating the optimization of relative poses between frames. We then apply the learned poses to optimize the entire scene. Each 2D screen-space pixel is associated with its corresponding 3D Gaussians through approximated surface rendering to facilitate gradient back propagation. Experimental results underline the superior performance and time efficiency of the proposed approach compared to the state-of-the-art baselines., Comment: arXiv admin note: text overlap with arXiv:2312.07504 by other authors
- Published
- 2024
48. Nanometric dual-comb ranging using photon-level microcavity solitons
- Author
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Wang, Zihao, Wang, Yifei, Shi, Baoqi, Sun, Wei, Yang, Changxi, Liu, Junqiu, and Bao, Chengying
- Subjects
Physics - Optics - Abstract
Absolute distance measurement with low return power, fast measurement speed, high precision, and immunity to intensity fluctuations is highly demanded in nanotechnology. However, achieving all these objectives simultaneously remains a significant challenge for miniaturized systems. Here, we demonstrate dual-comb ranging (DCR) that encompasses all these capabilities by using counter-propagating (CP) solitons generated in an integrated Si$_3$N$_4$ microresonator. We derive equations linking the DCR precision with comb line powers, revealing the advantage of microcomb's large line spacing in precise ranging. Leveraging the advantage, our system reaches 1-nm-precision and measures nm-scale vibration at frequencies up to 0.9 MHz. We also show that precise DCR is possible even in the presence of strong intensity noise and loss, using a mean received photon number as low as 5.5$\times$10$^{-4}$ per pulse. Our work establishes an optimization principle for dual-comb systems and bridges high performance ranging with foundry-manufactured photonic chips.
- Published
- 2024
49. SG-JND: Semantic-Guided Just Noticeable Distortion Predictor For Image Compression
- Author
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Cao, Linhan, Sun, Wei, Min, Xiongkuo, Jia, Jun, Zhang, Zicheng, Chen, Zijian, Zhu, Yucheng, Liu, Lizhou, Chen, Qiubo, Chen, Jing, and Zhai, Guangtao
- Subjects
Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition - Abstract
Just noticeable distortion (JND), representing the threshold of distortion in an image that is minimally perceptible to the human visual system (HVS), is crucial for image compression algorithms to achieve a trade-off between transmission bit rate and image quality. However, traditional JND prediction methods only rely on pixel-level or sub-band level features, lacking the ability to capture the impact of image content on JND. To bridge this gap, we propose a Semantic-Guided JND (SG-JND) network to leverage semantic information for JND prediction. In particular, SG-JND consists of three essential modules: the image preprocessing module extracts semantic-level patches from images, the feature extraction module extracts multi-layer features by utilizing the cross-scale attention layers, and the JND prediction module regresses the extracted features into the final JND value. Experimental results show that SG-JND achieves the state-of-the-art performance on two publicly available JND datasets, which demonstrates the effectiveness of SG-JND and highlight the significance of incorporating semantic information in JND assessment., Comment: Accepted by ICIP 2024
- Published
- 2024
50. A microcomb-empowered Fourier domain mode-locked LiDAR
- Author
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Cai, Zhaoyu, Wang, Zihao, Wei, Ziqi, Shi, Baoqi, Sun, Wei, Yang, Changxi, Liu, Junqiu, and Bao, Chengying
- Subjects
Physics - Optics ,Physics - Applied Physics - Abstract
Light detection and ranging (LiDAR) has emerged as an indispensable tool in autonomous technology. Among its various techniques, frequency modulated continuous wave (FMCW) LiDAR stands out due to its capability to operate with ultralow return power, immunity to unwanted light, and simultaneous acquisition of distance and velocity. However, achieving a rapid update rate with sub-micron precision remains a challenge for FMCW LiDARs. Here, we present such a LiDAR with a sub-10 nm precision and a 24.6 kHz update rate by combining a broadband Fourier domain mode-locked (FDML) laser with a silicon nitride soliton microcomb. An ultrahigh frequency chirp rate up to 320 PHz/s is linearized by a 50 GHz microcomb to reach this performance. Our theoretical analysis also contributes to resolving the challenge of FMCW velocity measurements with nonlinear frequency sweeps and enables us to realize velocity measurement with an uncertainty below 0.4 mm/s. Our work shows how nanophotonic microcombs can unlock the potential of ultrafast frequency sweeping lasers for applications including LiDAR, optical coherence tomography and sensing.
- Published
- 2024
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