13,959 results on '"JIANG Hua"'
Search Results
2. Arginine vasopressin induces ferroptosis to promote heart failure via activation of the V1aR/CaN/NFATC3 pathway
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Wu Zhiyong, Jiang Hua, Yin Qiulin, Zhang Zhifeng, and Chen Xuanlan
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arginine vasopressin ,V1aR/CaN/NFATC3 pathway ,ACSL4 ,ferroptosis ,heart failure ,Biochemistry ,QD415-436 ,Genetics ,QH426-470 - Abstract
Arginine vasopressin (AVP) is a key contributor to heart failure (HF), but the underlying mechanisms remain unclear. In the present study, a mouse model of HF and human cardiomyocyte (HCM) cells treated with dDAVP are generated in vivo and in vitro, respectively. Hematoxylin and eosin (HE) staining is used to evaluate the morphological changes in the myocardial tissues. A colorimetric method is used to measure the iron concentration, Fe2+ concentration and malondialdehyde (MDA) level. Western blot analysis is used to examine the protein levels of the V1a receptor (V1aR), calcineurin (CaN), nuclear factor of activated T cells isoform C3 (NFATC3), glutathione peroxidase 4 (GPX4) and acyl-CoA synthase long chain family member 4 (ACSL4). Immunoprecipitation (IP) and luciferase reporter assays are performed to determine the interaction between NFATC3 and ACSL4. Both in vivo and in vitro experiments reveal that the V1aR-CaN-NFATC3 signaling pathway and ferroptosis are upregulated in HFs, which are verified by the elevated protein levels of V1aR, CaN, NFATC3 and ACSL4; reduced GPX4 protein level; and enhanced Fe2+ and MDA levels. We further find that inhibiting NFATC3 by suppressing the V1aR/CaN/NFATC3 pathway via V1aR/CaN inhibitors or sh-NFATC3 not only alleviates HF but also inhibits AVP-induced ferroptosis. Mechanistically, sh-NFATC3 significantly reverses the increase in AVP-induced ACSL4 protein level, Fe2+ concentration, and MDA level by directly interacting with ACSL4. Our results demonstrate that AVP enhances ACSL4 expression by activating the V1aR/CaN/NFATC3 pathway to induce ferroptosis, thus contributing to HF. This study may lead to the proposal of a novel therapeutic strategy for HF.
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- 2024
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3. Correlation analysis between macronutrient intake and sleep quality in pregnant women in ten Chinese cities
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LI Xingyi, JIANG Hua, ZHAO Ai, HE Tingchao, Szeto Ignatius Man-Yau, WANG Peiyu, and ZHANG Yumei
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sleep quality ,pregnant women ,macronutrient intake ,Food processing and manufacture ,TP368-456 ,Nutrition. Foods and food supply ,TX341-641 - Abstract
ObjectiveTo explore the relationship between macronutrient intake and sleep quality, the current sleep quality of pregnant women from ten cities in China was investigated.MethodsMultistage stratified sampling was used to investigate the nutrient intake and sleep quality of 863 pregnant women in ten Chinese cities. Twenty-four dietary intake, sleep quality, perinatal depression, and other information was obtained using physical measurements and a questionnaire. Logistic and multiple linear regression models were used to explore the relationship between macronutrient intake and sleep quality.ResultsThe prevalence of poor sleep quality among pregnant women was 46.12%; pregnant women who were in the third trimester, who had depression, were currently unemployed, passively smoked during pregnancy, and had a history of previous alcohol consumption, demonstrated a higher levels of poor sleep quality (P
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- 2023
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4. Research progress on fermented dairy products and their relation with the health of middle-aged and older adults: Evidence from global cohort studies
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ZHANG Yumei, JIANG Hua, LI Ting, DUAN Sufang, FENG Gang, HE Tingchao, and SZETO Man-Yau Ignatius
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fermented dairy products ,yogurt ,middle-aged and older adults ,cohort ,noncommunicable chronic disease ,overweight/obesity ,cardiovascular and cerebrovascular diseases ,diabetes ,Food processing and manufacture ,TP368-456 ,Nutrition. Foods and food supply ,TX341-641 - Abstract
Fermented dairy products undergo structural and textural changes during fermentation, resulting in the production of unique nutrients. Therefore, they have special flavors and nutritional characteristics, offering health benefits for middle-aged and older adults, based on relevant evidence from global cohort studies. This article reviews evidence from global long-term follow-up cohort studies investigating the associations between fermented dairy products intake and overweight/obesity, cardiovascular and cerebrovascular diseases, prediabetes and diabetes, cognition, and tumorigenesis. Additionally, this review explores the potential mechanisms for these associations.
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- 2023
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5. Potential causal associations of PM2.5 and osteoporosis: a two-sample mendelian randomization study
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Yi Zhang, Jinsheng Yu, Hang Pei, Xinzheng Zhao, Chao Wang, Guanyin Wang, Zan Shen, Jiang Hua, and Bangjian He
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PM2.5 ,air pollution ,osteoporosis ,mendelian randomization ,bone mineral density ,Genetics ,QH426-470 - Abstract
Background: Observational studies suggest a potential association between atmospheric particulate matter 2.5 (PM2.5) and osteoporosis, but a causal association is unclear due to the presence of confounding factors.Methods: We utilized bone mineral density indices at four specific sites to represent osteoporosis: femoral neck (FN-BMD), lumbar spine (LS-BMD), forearm (FA-BMD), and heel (HE-BMD). The PM2.5 data was obtained from the UK Biobank database, while the datasets for FN-BMD, LS-BMD, and FA-BMD were obtained from the GEFOS database, and the dataset for HE-BMD was obtained from the EBI database. A two-sample Mendelian randomization analysis was conducted using mainly the inverse variance weighted method, horizontal pleiotropy and heterogeneity were also assessed.Results: The results indicated that PM2.5 was not correlated with a decrease in FN-BMD (β: −0.305, 95%CI: −0.762, 0.153), LS-BMD (β: 0.134, 95%CI: −0.396, 0.666), FA-BMD (β: -0.056, 95%CI: −1.172,1.060), and HE-BMD (β: −0.084, 95%CI: −0.261,0.093). Additionally, acceptable levels of horizontal pleiotropy and heterogeneity were observed.Conclusion: In contrast to most observational studies, our research did not discover a potential causal relationship between PM2.5 and the development of osteoporosis.
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- 2024
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6. Research on rock-breaking effect of TBM hob and application of new type cutter
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Liu Yingchao, Liu Bo, Jiang Yusheng, Jiang Hua, and Li Ting
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rock breaking ,wedge-shaped hob ,hob wear ,inclined shaft tbm tunneling ,Engineering geology. Rock mechanics. Soil mechanics. Underground construction ,TA703-712 ,Mining engineering. Metallurgy ,TN1-997 - Abstract
TBM hob wear is an important factor that affects the TBM tunneling efficiency and construction cost.Different blade types differ in rock breaking efficiency and wear.By analyzing the rock-breaking mechanism of the arc blade wedged hob, this study established the calculation model of hob normal cutting, and analyzed the influence of hob edge angle on normal cutting force.This study then designed three kinds of hobs with different cutter spacing and three types of hobs with different blade for rock breaking tests in laboratory.Results show that the reasonable cutter spacing is 15mm, sharp blade is prone to be worn, the tooth-like blade, which has higher rock breaking efficiency and wear resistance, is better than arc blade.Combined with the actual situation of the project site, a new hob with wedge-shaped blade is developed, which are applied to inclined shaft TBM tunneling at engineering site.Results show that the wear rate of the new wedge-shaped hob is 20 % less than that of the conventional ones, and the service life of former is longer than that of latter.Under the same geological conditions, new wedge-shaped hob can reduce the number of hobs consumption and improve efficiency of tunnelling.The development and application of the new type successfully solved the problems of hob wear and frequent replacement of hobs in the TBM inclined shaft excavation.It can provide technical support for TBM long distance inclined shaft driving, which not only shortened the construction period, but also saved the construction cost.
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- 2023
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7. A risk prediction model for acute kidney injury in patients with pulmonary tuberculosis during anti-tuberculosis treatment
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Zhi Xiang Du, Fang Qun Chang, Zi Jian Wang, Da Ming Zhou, Yang Li, and Jiang Hua Yang
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Risk prediction model ,pulmonary tuberculosis ,acute kidney injury ,nomogram ,Diseases of the genitourinary system. Urology ,RC870-923 - Abstract
Background Acute kidney injury (AKI) is not a rare complication during anti-tuberculosis treatment in some patients with pulmonary tuberculosis (PTB). We aimed to develop a risk prediction model for early recognition of patients with PTB at high risk for AKI during anti-TB treatment.Methods This retrospective cohort study assessed the clinical baseline, and laboratory test data of 315 inpatients with active PTB who were screened for predictive factors from January 2019 to June 2020. The elements were analyzed by logistic regression analysis. A nomogram was established by the results of the logistic regression analysis. The prediction model discrimination and calibration were evaluated by the concordance index (C-index), ROC curve, and Hosmer-Lemeshow analysis.Results A total of 315 patients with PTB were enrolled (67 patients with AKI and 248 patients without AKI). Seven factors, including microalbuminuria, hematuria, cystatin-C (CYS-C), albumin (ALB), creatinine-based estimated glomerular filtration rates (eGFRs), body mass index (BMI), and CA-125 were acquired to develop the predictive model. According to the logistic regression, microalbuminuria (OR = 3.038, 95%CI 1.168–7.904), hematuria (OR = 3.656, 95%CI 1.325–10.083), CYS-C (OR = 4.416, 95%CI 2.296–8.491), and CA-125 (OR = 3.93, 95%CI 1.436–10.756) were risk parameter, while ALB (OR = 0.741, 95%CI 0.650–0.844) was protective parameter. The nomogram demonstrated good prediction in estimating AKI (C-index= 0.967, AUC = 0.967, 95%CI (0.941–0.984), sensitivity = 91.04%, specificity = 93.95%, Hosmer-Lemeshow analysis SD = 0.00054, and quantile of absolute error = 0.049).Conclusions Microalbuminuria, hematuria, ALB reduction, elevated CYS-C, and CA-125 are predictive factors for the development of AKI in patients with PTB during anti-TB treatments. The predictive nomogram based on five predictive factors is achieved good risk prediction for AKI during anti-TB treatments.
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- 2022
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8. Correlation of CT-derived pectoralis muscle status and COVID-19 induced lung injury in elderly patients
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Pei Ying-hao, Zhang Hai-dong, Fang Yuan, Liu Yong-kang, Liang Sen, Xu Wei-long, Yang Yu-shan, Zhu Jun-feng, Zhou Hai-qi, and Jiang Hua
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Elderly ,Computed tomography ,Pectoralis muscle ,COVID-19 ,Severity ,Medical technology ,R855-855.5 - Abstract
Abstract Objectives To explore the association between CT-derived pectoralis muscle index (PMI) and COVID-19 induced lung injury. Methods We enrolled 116 elderly COVID-19 patients linked to the COVID-19 outbreak in Nanjing Lukou international airport. We extracted three sessions of their CT data, including one upon admission (T1), one during the first 2 weeks when lung injury peaked (T2) and one on day 14 ± 2 (T3). Lung injury was assessed by CT severity score (CTSS) and pulmonary opacity score (POS). Pneumonia evolution was evaluated by changes of CT scores at T2 from T1(Δ). Results The maximum CT scores in low PMI patients were higher than those of normal PMI patients, including CTSS1 (7, IQR 6–10 vs. 5, IQR 3–6, p 4. The presence of low PMI (OR = 5.98, p 4. Meanwhile, presence of low PMI (OR = 2.82, p = 0.042) and incrementally increasing D-dimer (OR = 0.088, p = 0.024) were predictors of lung injury aggravation with ΔPOS = 2. Conclusions PMI can be easily assessed on chest CT images and can potentially be used as one of the markers to predict the severity of lung injury in elderly COVID-19 patients.
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- 2022
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9. Case report: A rare Salter–Harris V metaphyseal fatigue fracture of the knee in an adolescent patient with obesity
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Chao Gao, Ling Le Feng, Jiang Hua Zheng, Jin Cao, and Hua Jing Sun
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fatigue fracture ,Salter V fracture ,obese adolescent ,metaphysis ,operative treatment ,Pediatrics ,RJ1-570 - Abstract
Stress fractures are rare, occurring in 1.5/100,000 high school athletes. High impact, repetitive loading participation in woman's sports, and being a white athlete have been identified as risk factors for stress fractures. Mostly treated conservatively, they are more common in the tibia (33%). Stress fractures requiring surgery, which are extremely rare, have been reported in the scaphoid, fifth metatarsal, and neck of femur. Herein, a 16-year-old adolescent patient with obesity presented with atypical knee pain after prolonged exercise. Advanced imaging revealed a stress fracture of the left tibia with a Salter–Harris type V fracture and varus deformity of the knee. We initially managed the fatigue fracture conservatively, followed by surgical correction of the varus deformity in the knee joint. The patient made a satisfactory recovery with equal limb length and no evidence of claudication. This is the first case of a proximal tibial metaphyseal stress fracture requiring surgery. The clinical manifestations of proximal tibial metaphyseal stress fractures and potential treatment strategies and the use of magnetic resonance for tibial stress fractures have been discussed. Understanding the location of unusual stress fractures can improve early diagnostic efficiency and reduce complication rates, healthcare costs, and recovery time.
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- 2023
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10. Mid-Term Follow-Up Results After Hemiarthroplasty Using Long Femoral Stem Prosthesis (Peerless-160) for Intertrochanteric Fractures in Octogenarians
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Qiang Mao, Yi Zhang, Jiang Hua, and Bangjian He
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Orthopedic surgery ,RD701-811 ,Geriatrics ,RC952-954.6 - Abstract
Purpose To analyze the clinical effect and imaging data of cementless bipolar hemiarthroplasty employing a long femoral stem (peerless-160) and 2 reconstructed femoral titanium wires to repair intertrochanteric fractures among the octogenarians. Methods Between June 2014 and August 2016, 58 octogenarians with femoral intertrochanteric fractures underwent the long femoral stem (peerless-160) cementless bipolar hemiarthroplasty by the same surgeon. We assessed clinical and radiological outcomes such as operative time, bleeding volume, blood transfusion volume, length of hospital stay, full weight-bearing walking time, walking ability calculated by Koval classification and Harris Hip Score (HHS), including fracture healing and greater trochanter fragments subsidence. Result The surgery was successfully performed in all patients. The average operation time was 72.8 ± 13.2 min, the average blood loss during surgery was 225.0 ± 91.4 mL, 200 mL of blood was transfused, the mean duration of hospitalization was 11.9 ± 4.0 days, the mean time of full weight bearing was 12.5 ± 3.8 days. Patients were followed up for 24-68 months, averagely 49.4 ± 10.3 months. During follow-up, 4 (6.9%) patients died, and 1 (1.7%) was completely lost to ask about the recent situation. The average Harris Hip Score at the last follow-up was 87.8 ± 6.1, most of the patients recovered walking ability, under radiological examination, the prosthesis showed no signs of loosening. All trochanteric fractures gradually healed, the clinical and radiographic signs of healing occurred at average of 4.0 ± 1.1 months postoperatively. Conclusion For osteoporotic unstable intertrochanteric fractures in octogenarians, this study confirmed that the Cementless Bipolar Hemiarthroplasty Using a Long Femoral stem (peerless-160) with double cross binding technique is a satisfactory and safe choice for the octogenarians.
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- 2023
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11. Different effects of vaccine on VST in critical and non-critical COVID-19 patients: A retrospective study of 363 cases
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Pei Ying-hao, Li Rui-han, Zhang Hai-dong, Chen Qiu-hua, Gu Yuan-yuan, Yang Yu-shan, Zhou Hai-qi, and Jiang Hua
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COVID-19 ,SARS-CoV-2 ,Viral shedding time ,Vaccination ,Immune response ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
Aim: To explore the risk factors of prolonged viral shedding time (VST) in critical/non-critical COVID-19 patients during hospitalization. Methods: In this retrospective study, we enrolled 363 patients with SARS-CoV-2 infection admitted in a designated hospital during the COVID-19 outbreak in Nanjing Lukou International Airport. Patients were divided into critical (n = 54) and non-critical (n = 309) groups. We analyzed the relationship between the VST and demographics, clinical characteristics, medications, and vaccination histories, respectively. Results: The median duration of VST was 24 d (IQR, 20–29) of all patients. The VST of critical cases was longer than non-critical cases (27 d, IQR, 22.0–30.0 vs. 23 d, IQR 20–28, P
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- 2023
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12. Structures of Chinese Students Interactions in Universities of the Far Eastern Federal District of The Russian Federation: Educational and Leisure Space
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Dekabrina M. Vinokurova, Nyurgun R. Maximov, and Jiang Hua
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cooperation ,russian federation ,prc ,educational migration ,choice of specialty ,types of everyday subfields ,cultural capital ,material wealth ,multicultural environment ,Sociology (General) ,HM401-1281 ,Urban groups. The city. Urban sociology ,HT101-395 - Abstract
The article analyzes the everyday communication of Chinese students in the Far East of the Russian Federation. The empirical data are based on two studies conducted by the staff of the Institute of the East, Higher Education Research Institute of Harbin Institute of Technology and the Interdepartmental sociological laboratory of The Institute of Finances and Economics of North-Eastern Federal University in 2017 and 2019. The methodological approach of the research, based on the theory of social space, allows us to conventionally distinguish the educational field and types of neighborhood subfields. As a structure of such fields of everyday communication in a foreign ethnic environment, the following are identified: the duration of students’ stay depending on educational programs, the level of Russian language proficiency, place of residence, roommates in a dormitory, the level of material well-being of the students’ family. Of course, it is by no means denied that the main tone in the life of students is set by the cognitive environment of the learning process. The data obtained make it possible to conditionally distinguish three types of neighborhoodhousehold subfields in the everyday extra-curricular life of students: the first can be attributed to students living with their compatriots, some of whom, having quickly adapted to local conditions, may experience difficulties in mastering the Russian language, respectively, and in general in study. The second type may include respondents who have expressed a desire to live with representatives of the local student community for closer contact with them in order to better master the Russian language. Of course, they experience difficulties at the initial stage of adaptation, which can then be compensated for by the achievement of the set goal, good command of the Russian language, the establishment of friendly relations, not only with roommates, etc. The third type can be formed by those who initially have mastered the Russian language at a sufficient level, who can communicate and study in Russia without any problems. They can live both with their fellow countrymen and with Russian students.
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- 2022
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13. Clinical characteristics and analysis of risk factors for disease progression of patients with SARS-CoV-2 Omicron variant infection: A retrospective study of 25207 cases in a Fangcang hospital
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Pei Ying-hao, Gu Yuan-yuan, Zhang Hai-dong, Chen Qiu-hua, Gu Xue-ran, Zhou Hai-qi, and Jiang Hua
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clinical characteristics ,disease progression ,COVID-19 ,SARS-CoV-2 Omicron variant ,risk factors ,Microbiology ,QR1-502 - Abstract
ObjectivesTo summarize the clinical characteristics of patients infected by SARS-CoV-2 omicron variant and explore the risk factors affecting the progression in a Fangcang hospital, Shanghai, China.MethodsA total of 25,207 patients were retrospectively enrolled. We described the clinical characteristics and performed univariate and multivariate logistic regression analysis to identify the risk factors for non-severe to severe COVID-19 or death.ResultsAccording to the outcomes, there were 39 severe patients (including 1 death) and 25,168 non-severe patients enrolled in this study. Among the 25,207 cases, the median age was 45 years (IQR 33-54), and 65% patients were male. Cough (44.5%) and expectoration (38.4%) were the most two common symptoms. Hypertension (10.4%) and diabetes (3.5%) were most two common comorbidities. Most patients (81.1%) were fully vaccinated. The unvaccinated and partially vaccinated patients were 15.1% and 3.9%, respectively. The length of viral shedding time was six days (IQR 4-9) in non-severe patients. Multivariate logistic regression analysis suggested that age (OR=1.062, 95%CI 1.034-1.090, p
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- 2022
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14. Intrinsic Dynamic Generation of Spin Polarization by Time-Varying Electric Field
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Feng, Xukun, Cao, Jin, Zhang, Zhi-Fan, Ang, Lay Kee, Lai, Shen, Jiang, Hua, Xiao, Cong, and Yang, Shengyuan A.
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Condensed Matter - Mesoscale and Nanoscale Physics - Abstract
Electric control of spin in insulators is desired for low-consumption and ultrafast spintronics, but the underlying mechanism remains largely unexplored. Here, we propose an intrinsic effect of dynamic spin generation driven by time-varying electric field. In the intraband response regime, it can be nicely formulated as a Berry curvature effect and leads to two phenomena that are forbidden in the $dc$ limit: linear spin generation in nonmagnetic insulators and intrinsic N{\'e}el spin-orbit torque in $\mathcal{PT}$-symmetric antiferromagnetic insulators. These phenomena are driven by the time derivative of field rather than the field itself, and have a quantum origin in the first-order dynamic anomalous spin polarizability. Combined with first-principles calculations, we predict sizable effects driven by terahertz field in nonmagnetic monolayer Bi and in antiferromagnetic even-layer MnBi$_2$Te$_4$, which can be detected in experiment.
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- 2024
15. Sound Wave Manipulation Based on Valley Acoustic Interferometers
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Zhao, Wei, Chen, Jia-He, Cheng, Shu-Guang, Mao, Yong, Zhang, Xiaojun, Tao, Zhi, Jiang, Hua, and Hang, Zhi Hong
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Physics - Applied Physics ,Condensed Matter - Materials Science - Abstract
Topological acoustics provides new opportunities for materials with unprecedented functions. In this work, we report a design of topological valley acoustic interferometers by Y-shaped valley sonic crystals. By tight-bounding calculation and experimental demonstration, we successfully tune the acoustic energy partition rate by configuring the channel. An analytical theory proposed to explain the transmission property matches well with experimental observations. An additional {\pi} Berry phase is verified to accumulate circling along the shape-independent topological valley acoustic interferometer, unique in the pseudospin half systems. Based on the spectral oscillation originating from the accumulated dynamic phase and {\pi} Berry phase, a simplified method to measure acoustic valley interface dispersion is explored, which overcomes the shortcomings of the traditional fast Fourier transform method and improves the measuring efficiency by simply analyzing the peaks and dips of the measured transmission spectrum. Moreover, an effective approach to tuning its transmissions, as well as the spectral line shapes proposed and realized by the local geometry design of the interferometer, exhibits strong tunability under an unchanged physical mechanism. Our work opens an avenue to design future acoustic devices with the function of sound wave manipulation based on the physical mechanism of interference and Berry phase.
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- 2024
16. Final-state rescattering mechanism of charmed baryon decays
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Jia, Cai-Ping, Jiang, Hua-Yu, Wang, Jian-Peng, and Yu, Fu-Sheng
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High Energy Physics - Phenomenology - Abstract
The dynamical studies on the non-leptonic weak decays of charmed baryons are always challenging, due to the large non-perturbative contributions at the charm scale. In this work, we develop the final-state rescattering mechanism to study the two-body non-leptonic decays of charmed baryons. The final-state interaction is a physical picture of long-distance effects. Instead of using the Cutkosky rule to calculate the hadronic triangle diagrams which can only provide the imaginary part of decay amplitudes, we point out that the loop integral is more appropriate, as both the real parts and the imaginary parts of amplitudes can be calculated completely. In this way, it can be obtained for the non-trivial strong phases which are essential to calculate CP violations. With the physical picture of long-distance effects and the reasonable method of calculations, it is amazingly achieved that all the nine existing experimental data of branching fractions for the $\Lambda_c^+$ decays into an octet light baryon and a vector meson can be explained by only one parameter of the model. Besides, the decay asymmetries and CP violations are not sensitive to the model parameter, since the dependence on the parameter is mainly cancelled in the ratios, so that the theoretical uncertainties on these observables are lowered down., Comment: 32 pages,10 figures, 5 tables
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- 2024
17. Arrays of one-dimensional conducting channels in minimally twisted bilayer graphene
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Hou, Zhe, Yuan, Kai, and Jiang, Hua
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Condensed Matter - Mesoscale and Nanoscale Physics - Abstract
Minimally twisted bilayer graphene (TBG) with interlayer potential asymmetry host one-dimensional (1D) topological helical states (THSs) at domain walls between AB/BA stacking regions. However, the nature of THS propagation remains elusive. Although it is widely believed that they form a two-dimensional (2D) triangular network, a few argue that they self-organize into 1D topological zigzag modes (TZMs) that propagate independently. In this Letter, we propose a protocol based on a two-terminal TBG nanoflake transport device and resolve this issue. Through rigorous calculations on the differential conductance and the nonequilibrium local density of states, we show that, these THSs indeed self-construct the 1D distorted TZMs, each bypassing the AA-stacking spots and propagating independently. By considering a long TBG nanoflake, we obtain a nearly quantized conductance plateau with its value close to 1, 2, and 3 (in units of $2e^2/h$), which serves as a strong experimental sign for the existence of TZMs. Our work not only clarifies the propagation nature of the THSs, but also realizes an array of 1D conducting channels on a 2D platform. This work provides an unprecedented way to engineering topological states intrinsic in TBG., Comment: 5 pages, 4 figures, comments are welcome
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- 2024
18. Spontaneous spin superconductor state in ABCA-stacked tetralayer graphene
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Li, Shuai, Ren, Yuan-Hang, Li, Ao-Long, and Jiang, Hua
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Condensed Matter - Mesoscale and Nanoscale Physics - Abstract
We theoretically demonstrate a spontaneous spin superconductor (SC) state in ABCA-stacked tetralayer graphene, under sequential effects of electron-electron (e-e) and electron-hole (e-h) interactions. First of all, we examine the ferromagnetic (FM) exchange instability and phase diagram of the system induced by the long-range e-e interaction. At non- or low-doping levels, the interaction trends to stabilize a FM phase with the coexisting electron and hole carriers. Superior to bilayer and trilayer systems, tetralayer graphene has a larger FM phase region and spin splitting, making it more advantageous to realize the spin SC state. Subsequently, we prove that the FM phase becomes unstable when attractive e-h interaction is considered. As a consequence, the spin SC state can be spontaneously formed at low temperature, where spin-triplet exciton pairs act as the equivalent of Cooper pairs. We further develop a consistent BCS-type theory for the spin SC state in ABCA-stacked graphene. The predicted spin superconducting gap can reach about $7.0$ meV, with a critical temperature of about 45 K for non-doping system. At last, we demonstrated a spin-current Josephson effect in the ABCA-stacked graphene spin SC heterojunction. Our findings enrich the prospective spin SC candidate materials, illuminating more possibilities for achieving non-dissipative super-spintronics., Comment: 15 pages,7 figures
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- 2024
19. Doubled Shapiro steps in a dynamic axion insulator Josephson junction
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Li, Yu-Hang, Zhou, Ziqian, Cheng, Ran, Jiang, Hua, and Xie, X. C.
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Condensed Matter - Mesoscale and Nanoscale Physics ,Condensed Matter - Materials Science - Abstract
Dynamic axion insulators feature a time-dependent axion field that can be induced by antiferromagnetic resonance. Here, we show that a Josephson junction incorporating this dynamic axion insulator between two superconductors exhibits a striking doubled Shapiro steps wherein all odd steps are completely suppressed in the jointly presence of a DC bias and a static magnetic field. The resistively shunted junction simulation confirms that these doubled Shapiro steps originate from the distinctive axion electrodynamics driven by the antiferromagnetic resonance, which thus not only furnishes a hallmark to identify the dynamic axion insulator but also provides a method to evaluate its mass term. Furthermore, the experimentally feasible differential conductance is also determined. Our work holds significant importance in condensed matter physics and materials science for understanding the dynamic axion insulator, paving the way for its further exploration and applications.
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- 2024
20. Anomalous Enhancement of the Electrocatalytic Hydrogen Evolution Reaction in AuPt Nanoclusters
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Kang, Jiahui, Kloppenburg, Jan, Sheng, Jiali, Xu, Zhenyu, Meinander, Kristoffer, Jiang, Hua, Lv, Zhong-Peng, Kauppinen, Esko I., Zhang, Qiang, Chen, Xi, Ikkala, Olli, Caro, Miguel A., and Peng, Bo
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Physics - Chemical Physics - Abstract
Energy- and resource-efficient electrocatalytic water splitting is of paramount importance to enable sustainable hydrogen production. The best bulk catalyst for the hydrogen evolution reaction (HER), i.e., platinum, is one of the scarcest elements on Earth. The use of raw material for HER can be dramatically reduced by utilizing nanoclusters. In addition, nanoalloying can further improve the performance of these nanoclusters. In this paper, we present results for HER on nanometer-sized ligand-free AuPt nanoclusters grafted on carbon nanotubes. These results demonstrate excellent monodispersity and a significant reduction of the overpotential for the electrocatalytic HER. We utilize atomistic machine learning techniques to elucidate the atomic-scale origin of the synergistic effect between Pt and Au. We show that the presence of surface Au atoms, known to be poor HER catalysts, in a Pt(core)/AuPt(shell) nanocluster structure, drives an anomalous enhancement of the inherently high catalytic activity of Pt atoms.
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- 2024
21. Precision calculations of the $D_{(s)}D_{(s)}V$ and $B_{(s)}B_{(s)}V$ couplings from light-cone sum rules
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Jiang, Hua-Yu and Jin, Su-Ping
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High Energy Physics - Phenomenology ,High Energy Physics - Experiment - Abstract
We present an improved calculation of the $HHV$ ($H=D_{(s)},\, B_{(s)}$, $V= \rho$, $K^\ast$, $\omega$, and $\phi$) coupling constants $g_{HHV}$ beyond leading order in $\alpha_s$ from QCD light-cone sum rules (LCSRs) by means of the light-cone distribution amplitudes (LCDAs) of light vector mesons. Near the light-cone, the next-to-leading order QCD corrections for the vacuum-to-vector-meson correlation function are included at leading power in $\delta_V = m_V/m_Q$ ($Q=b,c$) within the framework of hard-collinear factorization. The higher-twist corrections from two-particle and three-particle vector meson LCDAs are systematically incorporated at leading order in $\alpha_s$ by applying the method of background field in LCSRs. Based on these improvements, we perform a systematic computation of the strong coupling constants $g_{H HV}$ and extract the effective coupling $\beta$ of the heavy meson chiral perturbation theory (HM$\chi$PT). Furthermore, we accomplish the analysis for the relation between the coupling $g_{HHV}$ and the residue of the $H\to V$ transition form factor $A_0$ at heavy pseudoscalar pole. Additionally, we provide a detailed investigation of the $SU(3)$ flavour symmetry breaking effects and conduct a comparative analysis with results from previous studies., Comment: 45 pages,5 figures and 12 tables
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- 2024
22. Tropical friezes and cluster-additive functions via Fock-Goncharov duality and a conjecture of Ringel
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Cao, Peigen, Germain, Antoine de Saint, and Lu, Jiang-Hua
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Mathematics - Representation Theory ,Mathematics - Rings and Algebras ,13F60 - Abstract
We study tropical friezes and cluster-additive functions associated to symmetrizable generalized Cartan matrices in the framework of Fock-Goncharov duality in cluster algebras. In particular, we generalize and prove a conjecture of C. M. Ringel on cluster-additive functions associated to arbitrary Cartan matrices of finite type. For a Fock-Goncharov dual pair of positive spaces of finite type, we use tropical friezes and cluster-additive functions to explicitly express the Fock-Goncharov pairing between their tropical points and the bijections between global monomials on one and tropical points of the other., Comment: intended as a replacement of arXiv:2311.17712v1
- Published
- 2024
23. High spin axion insulator
- Author
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Li, Shuai, Gong, Ming, Li, Yu-Hang, Jiang, Hua, and Xie, X. C.
- Subjects
Condensed Matter - Mesoscale and Nanoscale Physics ,Condensed Matter - Materials Science - Abstract
Axion insulators possess a quantized axion field $\theta=\pi$ protected by combined lattice and time-reversal symmetry, holding great potential for device applications in layertronics and quantum computing. Here, we propose a high-spin axion insulator (HSAI) defined in large spin-$s$ representation, which maintains the same inherent symmetry but possesses a notable axion field $\theta=(s+1/2)^2\pi$. Such distinct axion field is confirmed independently by the direct calculation of the axion term using hybrid Wannier functions, layer-resolved Chern numbers, as well as the topological magneto-electric effect. We show that the guaranteed gapless quasi-particle excitation is absent at the boundary of the HSAI despite its integer surface Chern number, hinting an unusual quantum anomaly violating the conventional bulk-boundary correspondence. Furthermore, we ascertain that the axion field $\theta$ can be precisely tuned through an external magnetic field, enabling the manipulation of bonded transport properties. The HSAI proposed here can be experimentally verified in ultra-cold atoms by the quantized non-reciprocal conductance or topological magnetoelectric response. Our work enriches the understanding of axion insulators in condensed matter physics, paving the way for future device applications., Comment: To appear in Nature Communications
- Published
- 2024
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24. Interplay between electronic dephasing and localization in finite-sized Chern insulator
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Bai, Yunhe, Li, Yuanzhao, Luan, Jianli, Chen, Yang, Gao, Zongwei, Song, Wenyu, Tong, Yitian, Zhang, Jinsong, Wang, Yayu, Qi, Junjie, Chen, Chui-Zhen, Jiang, Hua, Xie, X. C., He, Ke, Feng, Yang, Feng, Xiao, and Xue, Qi-Kun
- Subjects
Condensed Matter - Mesoscale and Nanoscale Physics ,Condensed Matter - Materials Science - Abstract
Anderson localization is anticipated to play a pivotal role in the manifestation of the quantum anomalous Hall effect, akin to its role in conventional quantum Hall effects. The significance of Anderson localization is particularly pronounced in elucidating the reasons behind the fragility of the observed quantum anomalous Hall state in the intrinsic magnetic topological insulator MnBi2Te4 with a large predicted magnetic gap. Here, employing varying sized MnBi2Te4 micro/nano-structures fabricated from a single molecular-beam-epitaxy-grown thin film, we have carried out a systematic size- and temperature-dependent study on the transport properties of the films regarding the quantum anomalous Hall states. The low-temperature transport properties of the finite-sized MnBi2Te4 samples can be quantitatively understood through Anderson localization, which plays an indispensable role in stabilizing the ground states. At higher temperatures, the failure of electron localization induced by an excessively short electronic dephasing length is identified as the cause of deviation from quantization. The work reveals that electronic dephasing and localization are non-negligible factors in designing high-temperature quantum anomalous Hall systems., Comment: 20 pages, 4 figures
- Published
- 2024
25. Effect of Nitrogen Flow Rate on the Concentration of Nitrogen in Controlled-atmosphere Warehouse
- Author
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CAO Wen-jie, HE Guo-qiang, HUANG Guo-rong, LI Ming, JIANG Hua-bang, and GUO Chao
- Subjects
controlled-atmosphere warehouse ,nitrogen concentration ,controlled atmosphere ,grain ,cost analysis ,Food processing and manufacture ,TP368-456 ,Nutrition. Foods and food supply ,TX341-641 - Abstract
The decay and holding time of nitrogen concentration was characterized in a controlled-atmosphere warehouse with half life of pressure of 165 s. The relationship of nitrogen concentration, nitrogen holding timeand grain temperature was further studied. The results showed that, the nitrogen concentration gradually decreases with the time, when the nitrogen concentration in the controlled-atmosphere warehouse reached to the target concentration of 98.0%. The concentration of nitrogen was related to nitrogen leakage and sorption.An increase of the nitrogen concentration required that the amount of supplemental nitrogen is greater than the amount of leakage. When there is no nitrogen supplement in the controlled-atmosphere warehouse, the monthly decrease of nitrogen concentration is 1.6%; when the monthly nitrogen supplement is greater than 12.4% of the grain warehouse volume, the nitrogen concentration will increase by 0.1% ~ 0.9%; the monthly nitrogen supplement is greater than 27.0% of the grain warehouse volume, the nitrogen concentration will greater than 1.0%. In addition, the amount of nitrogen supplementation has no direct effect on the temperature of the grain.
- Published
- 2020
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26. Recent progress in service induced degradation of turbine blades of aeroengine due to overheating
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ZHAO Yun-song, ZHANG Mai, GUO Xiao-tong, GUO Yuan-yuan, ZHAO Hao, LIU Yan-fei, JIANG Hua, ZHANG Jian, and LUO Yu-shi
- Subjects
turbine blade ,overheating ,microstructure ,mechanical property ,Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
As one of the core hot components of aeroengines, the safe service of turbine blades is crucial to the operation of aeroengines.When the aeroengines encounter some emergency conditions, the turbine blades may suffer overheating, the temperature of which is much higher than the highest normal operating temperature. Overheating can lead to serious microstructural degradation and even premature failure of turbine blades. In this paper,the methods of overheat inspection and failure analysis were introduced, as well asthe effects of overheating on the microstructural degradation and mechanical propertiesof aeroenginesturbine blades. In addition, the damage assessment, life prediction and microstructure rejuvenation of superalloys after overheating were prospected in this paper, which provide a guidance and theoretical basis for the degradation evaluation and failure analysis of turbine blades as well as the development of new superalloys.
- Published
- 2020
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- View/download PDF
27. A Deep Learning Algorithm for Classifying Meningioma and Auditory Neuroma in the Cerebellopontine Angle from Magnetic Resonance Images
- Author
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LOU Yun-zhong, LIU Ying, JIANG Hua, and ZHANG Hao-wei
- Subjects
meningioma ,auditory neuroma ,3-dimensional convolutional neural network (3d cnn) ,magnetic resonance imaging (mri) ,Electricity and magnetism ,QC501-766 - Abstract
Meningioma and auditory neuroma are two types of brain tumors frequently found in the cerebellopontine angle. Misdiagnosis of the two is common due to their similarity in clinical manifestations and imaging manifestations. In this work, the deep learning algorithm was developed to classify the meningioma and auditory neuroma from the magnetic resonance images, assisting the timely and accurate diagnosis to the two brain tumors. T1-weighted spin-echo (T1W-SE) images were collected from 307 patients with brain tumors. Contrast limited adaptive histogram equalization (CLAHE) pre-processing was used to improve the quality of the dataset. The image features were learnt in the deep learning framework of 3-dimensional convolutional neural network (3D CNN). By optimizing the image enhancement parameters and the network structure parameters, the accuracy of the meningioma/acoustic neuroma classification model reached 0.918 0, and the area under curve (AUC) was found to be 0.913 4.
- Published
- 2020
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- View/download PDF
28. Expression and Correlation of Pigment Epithelium-derived Factor and Androgen Receptor in Bladder Cancer Tissues
- Author
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JIANG Hua, BU Qiang, WU Aibin, ZENG Minghui, QIN Suobing, and XIA Dongdong
- Subjects
bladder cancer ,pigment epithelium derived factor ,androgen receptor ,correlation ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Objective To investigate the expression and correlation of pigment epithelium derived factor (PEDF) and androgen receptor (AR) in bladder cancer tissues. Methods The expression of PEDF and AR in 30 cases of bladder cancer tissues were detected by immunohistochemical staining. The relation between PEDF expression and AR was analyzed by Pearson correlation. We detected the expression levels of PEDF and AR in bladder cancer TCCSUP cell line and the expression of PEDF after lentivirus-mediated AR interference by Real-time PCR and Western blot. Results PEDF expression was negatively correlated with AR expression(P=0.003). Androgen could significantly upregulate AR expression and inhibit PEDF expression. At the same time, interfering AR expression could upregulate the expression of PEDF. Conclusion The expression of PEDF may be inhibited by AR expression in bladder cancer tissues.
- Published
- 2019
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29. Effect of tea soil acidification on the diversity and function of fungi community
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Jiang Hua Ye, Xiao Ting Chen, Guo Ying Liu, Xiao Li Jia, Qi Zhang, Chun Lian Zhu, Yu Hua Wang, Miao Jia, and H.B. Wang
- Subjects
Plant culture ,SB1-1110 ,Botany ,QK1-989 - Abstract
Soil fungi play an important role in the process of planting tea tree. However, effects of acidification on the diversity and function of the fungi community in tea rhizosphere soil have been rarely reported. In this study, tea rhizosphere soils with pH of 3.3, 4.7, 5.3 and 6.4 were investigated for diversity and function of fungal communities through T-RFLP technology. The results showed that the abundance and diversity of fungi increased significantly with the decrease of pH value of rhizosphere soil. The results of significance analysis showed that 38 T-RFs fragments were significantly correlated with pH value, among which 32 were negatively correlated with pH value and 6 were positively correlated with pH value. After database comparison, 23 fungi were identified and classified according to their nutritional patterns, which can be divided into four types, including pathotroph, symbiotroph, saprotroph and unknown, accounting for 36.85%, 7.89%, 15.79% and 39.47%, respectively. At pH value of 3.3, the fungus abundance reached the maximum value. In conclusion, acidification leads to changes in the structure and diversity of the fungi community in tea rhizosphere soil, specifically, a significant increase in the number and species of fungi, of which the pathotroph type is the largest. This study provides an important theoretical basis for controlling fungal diseases of tea tree in acidified tea plantations
- Published
- 2021
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30. Effects of minor Hf on high temperature stress rupture properties of high angle grain boundary in a Re-containing Ni-based bicrystal superalloy
- Author
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ZHAO Yun-song, GUO Yuan-yuan, ZHAO Jing-xuan, ZHANG Xiao-tie, LIU Yan-fei, YANG Yan, JIANG Hua, ZHANG Jian, and LUO Yu-shi
- Subjects
single crystal superalloy ,Hf ,grain boundary ,microstructure ,stress rupture property ,Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
Two bicrystal specimens containing high angle grain boundary (about 20 degrees) were prepared by seed crystal method. The effect of Hf on the as-cast, heat-treated grain boundary microstructure, composition and stress rupture properties under 1100℃/100MPa was investigated in Ni-based single crystal superalloy contained Re with different contents of Hf (mass fraction:0%, 0.4%). The results show that Hf addition results in the increase of the volume fraction of (γ+γ') eutectic and MC along the grain boundary. The volume fraction of cellular recrystallization microstructure is significantly decreased after heat treatment with Hf addition. The transverse stress rupture life is observed to increase significantly under 1100℃/100MPa in the Hf-containing alloy. The stress rupture properties are closely related to the type, morphology, content and composition of the precipitation phase along grain boundary, but the obvious segregation of Hf is not observed. This study can be helpful for the understanding of Hf's role of strengthening mechanism in grain boundary in advanced Ni-based single crystal superalloy.
- Published
- 2019
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- View/download PDF
31. An improved calculation of the $D_{(s)}^*D_{(s)}V$ and $B_{(s)}^*B_{(s)}V$ couplings from light-cone sum rules
- Author
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Jin, Su-Ping and Jiang, Hua-Yu
- Subjects
High Energy Physics - Phenomenology - Abstract
We present an improved calculation of the $D_{(s)}^*D_{(s)}V$ and $B_{(s)}^*B_{(s)}V$ coupling constants, where $V$ denotes $\rho$, $K^\ast$, $\omega$, and $\phi$ meson. These couplings govern the QCD long-distance dynamics in interactions between heavy pseudoscalar/vector mesons and light vector mesons. Our analysis is conducted within the framework of QCD light-cone sum rules (LCSRs) by utilizing the light-cone distribution amplitudes (LCDAs) of light vector mesons. By systematically incorporating the subleading power corrections and higher-twist contributions at leading order (LO) and including the next-to-leading order (NLO) corrections at leading power, we achieve enhanced accuracy in the light-cone operator product expansion (OPE) for the underlying correlation function. In assessing the reliability of the established LCSRs, we consider uncertainties arising from the choice of the quark-hadron duality region in the double dispersion relation. Building upon these improvements, we accomplish an optimized computation and analysis for the strong coupling constants $g_{H^\ast HV}$ which are used to extract the effective coupling $\lambda$ in the heavy meson chiral perturbation theory (HM$\chi$PT). Furthermore, we investigate the $SU(3)$ flavour symmetry breaking effects in detail and compare our sum rule calculations with previous studies in an exploratory way., Comment: 46 pages, 4 figures, 13 tables
- Published
- 2024
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- View/download PDF
32. Optimize Individualized Energy Delivery for Septic Patients Using Predictive Deep Learning Models: A Real World Study
- Author
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Wang, Lu, Chang, Li, Zhang, Ruipeng, Li, Kexun, Wang, Yu, Chen, Wei, Feng, Xuanlin, Sun, Mingwei, Wang, Qi, Lu, Charles Damien, Zeng, Jun, and Jiang, Hua
- Subjects
Quantitative Biology - Other Quantitative Biology - Abstract
Background and Objectives: We aim to establish deep learning models to optimize the individualized energy delivery for septic patients. Methods and Study Design: We conducted a study of adult septic patients in Intensive Care Unit (ICU), collecting 47 indicators for 14 days. After data cleaning and preprocessing, we used stats to explore energy delivery in deceased and surviving patients. We filtered out nutrition-related features and divided the data into three metabolic phases: acute early, acute late, and rehabilitation. Models were built using data before September 2020 and validated on the rest. We then established optimal energy target models for each phase using deep learning. Results: A total of 277 patients and 3115 data were included in this study. The models indicated that the optimal energy targets in the three phases were 900kcal/d, 2300kcal/d, and 2000kcal/d, respectively. Excessive energy intake increased mortality rapidly in the early period of the acute phase. Insufficient energy in the late period of the acute phase significantly raised the mortality of septic patients. For the rehabilitation phase, too much or too little energy delivery both associated with high mortality. Conclusion: Our study established time-series prediction models for septic patients to optimize energy delivery in the ICU. This approach indicated the feasibility of developing nutritional tools for critically ill patients. We recommended permissive underfeeding only in the early acute phase. Later, increased energy intake may improve survival and settle energy debts caused by underfeeding.
- Published
- 2024
33. Measurement of the Chern Number for Non-Hermitian Chern Insulators
- Author
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Liu, Hongfang, Lu, Ming, Chai, Shengdu, Zhang, Zhi-Qiang, and Jiang, Hua
- Subjects
Condensed Matter - Mesoscale and Nanoscale Physics - Abstract
The identification of the topological invariant of a topological system is crucial in experiments. However, due to the inherent non-Hermitian features, such determination is notably challenging in non-Hermitian systems. Here, we propose that the magnetic effect can be utilized to measure the Chern number of the non-Hermitian Chern insulator. We find that the splitting of non-Hermitian bands under the magnetic field is Chern number dependent. Consequently, one can easily identify the Chern number by analyzing these splitting sub-bands. From the experimental perspective, the measurement of non-Hermitian bands is demonstrated in LC electric circuits. Furthermore, we find that the non-Hermiticity can drive open (closed) orbits of sub-bands in the Hermitian limit closed (open), which can also be identified by our proposal. These phenomena highlight the distinctive capabilities of non-Hermitian systems. Our results facilitate the detection of Chern numbers for non-Hermitian systems and may motivate further studies of their topological properties., Comment: 15 pages, 10 figures, Comments are welcome
- Published
- 2024
34. Elemental segregation, microstructure, and mechanical properties of TMCP-treated high-manganese wear-resistant steel
- Author
-
He, Yang, Liu, Jian-hua, Huang, Guan-yong, Xu, Hao, Liu, Ning, and Qi, Jiang-hua
- Published
- 2024
- Full Text
- View/download PDF
35. Study on Preclinical Safety and Toxic Mechanism of Human Umbilical Cord Mesenchymal Stem Cells in F344RG Rats
- Author
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Hao, Xiaofang, Zhu, Hao, Qin, Chao, Li, Lulu, Lin, Zhi, Jiang, Hua, Li, Qianqian, Huo, Yan, Zhang, Hezhan, Geng, Xingchao, Huang, Ying, and Li, Bo
- Published
- 2024
- Full Text
- View/download PDF
36. GPC3-targeted CAR-T cells expressing GLUT1 or AGK exhibit enhanced antitumor activity against hepatocellular carcinoma
- Author
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Sun, Rui-xin, Liu, Yi-fan, Sun, Yan-sha, Zhou, Min, Wang, Yi, Shi, Bi-zhi, Jiang, Hua, and Li, Zong-hai
- Published
- 2024
- Full Text
- View/download PDF
37. A novel bispecific antibody drug conjugate targeting HER2 and HER3 with potent therapeutic efficacy against breast cancer
- Author
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Zong, Hui-fang, Li, Xi, Han, Lei, Wang, Lei, Liu, Jun-jun, Yue, Ya-li, Chen, Jie, Ke, Yong, Jiang, Hua, Xie, Yue-qing, Zhang, Bao-hong, and Zhu, Jian-wei
- Published
- 2024
- Full Text
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38. Lipoprotein (a)-Related Inflammatory Imbalance: A Novel Horizon for the Development of Atherosclerosis
- Author
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Qin, Ting, Ma, Tian-Yi, Huang, Kang, Lu, Shi-Juan, Zhong, Jiang-Hua, and Li, Jian-Jun
- Published
- 2024
- Full Text
- View/download PDF
39. Geometrical and electronic properties of Sin (n = 6–15) clusters with rhodium impurity: a first-principles investigation
- Author
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Jiang, Zai-Fu, Jiang, Hua-Long, Luo, Chang-Geng, Zhang, Shuai, and Li, Gen-Qquan
- Published
- 2024
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40. Joint estimation and detection method based on turbo equalization framework and VAMP
- Author
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Zhang Jiali, Wang Zhongyong, Jiang Hua, Gong Kexian, Sun Peng, and Wang Wei
- Subjects
Information technology ,T58.5-58.64 - Abstract
In this letter, we consider the single-carrier frequency domain equalization (SC-FDE) system, and propose a low-complexity joint symbol detection and channel estimation algorithm based on the recently proposed vector approximate message passing (VAMP). Specifically, we leverage VAMP twice to estimate symbols and channels, respectively, in a turbo-like way. Moreover, this algorithm organically combines the gaussian mixture model (GMM), which can accurately simulate the sparse aggregation characteristics of the channel and effectively suppress inter symbol interference (ISI). The simulation results show that compared with the traditional linear minimum mean square error (LMMSE) estimation receiving algorithm and the existing generalized approximate message passing algorithm (GAMP), the designed receiving algorithm has significant advantages in channel estimation normalized mean square error (NMSE) and bit error ratio (BER) performance, where sharing the same order of complexity.
- Published
- 2022
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- View/download PDF
41. Analysis of practice model for translation technology teaching based on artificial intelligence
- Author
-
Jiang Hua
- Subjects
Social Sciences - Abstract
This paper presents the development of artificial intelligence and the necessity of teaching reforms in the teaching of translation technology. By analyzing the teaching process in the first national translation technology teaching competition in 2021, it explores the classroom practice model of translation technology in China from four main dimensions -teaching philosophy, teaching content, teaching methods, and teaching evaluation. It then sheds light on some difficult points in the teaching technology model with the purpose of providing new insights for the teaching practice of translation technology.
- Published
- 2022
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42. Effect of Parameters of HRS Process on Microstructure of DZ466 Ni-based Superalloy
- Author
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JIANG Hua, BAO Yunfei, LI Qing, YANG Zhenyu, and CHEN Jingyang
- Subjects
DZ466 ,superalloy ,withdrawal rate ,microstructure ,Motor vehicles. Aeronautics. Astronautics ,TL1-4050 - Abstract
The influences of withdrawal rate and mold heater zone temperature during high rate solidification (HRS) on the microstructures were investigated. As the results, the primary dendritic spacing, the size of γ′ phase particles and carbides are decreased with the increase of the withdrawal rate or mold heater zone temperature. As the withdrawing goes on, the primary dendritic spacing and the size of γ′ phase particles are increased, and the heat emission efficiency of HRS process is decreased. The results show that fine dendrite and γ′ phase can be achieved with the withdrawal of 8 mm/min and mold heater zone temperature of 1520 ℃/1530 ℃, which is benefit to improve the properties of DZ466 alloy.
- Published
- 2018
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- View/download PDF
43. Effects of domain walls and chiral supercurrent in quantum anomalous Hall Josephson junctions
- Author
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Qi, Junjie, Liu, Haiwen, Liu, Jie, Jiang, Hua, Liu, Dong E., Chen, Chui-Zhen, He, Ke, and Xie, X. C.
- Subjects
Condensed Matter - Mesoscale and Nanoscale Physics - Abstract
The intriguing interplay between topology and superconductivity has attracted significant attention, given its potential for realizing topological superconductivity. In this study, we investigate the transport properties of the chiral Josephson effect in the quantum anomalous Hall insulators (QAHIs)-based junction. We reveal a systematic crossover from edge-state to bulk-state dominant supercurrents, with a notable $0-\pi$ transition observed under non-zero magnetic flux through chemical potential adjustments. This transition underscores the competition between bulk and chiral edge transport. Furthermore, we identify an evolution among three distinct quantum interference patterns: from a $2\Phi_0$-periodic oscillation pattern, to a $\Phi_0$-periodic oscillation pattern, and then to an asymmetric Fraunhofer pattern ($\Phi_0 = h/2e$ is the flux quantum, $h$ the Planck constant, and $e$ the electron charge). Subsequently, we examine the influence of domains on quantum interference patterns. Intriguingly, a distinctive Fraunhofer-like pattern emerges due to coexistence of chiral edge states and domain wall states, even when the chemical potential is within gap. These results not only advance the theoretical understanding but also pave the way for the experimental discovery of the chiral Josephson effect based on QAHI doped with magnetic impurities., Comment: 8 pages, 8 figures
- Published
- 2023
44. Tropical friezes and cluster-additive functions via Fock-Goncharov duality and a conjecture of Ringel
- Author
-
Cao, Peigen, Germain, Antoine de Saint, and Lu, Jiang-Hua
- Subjects
Mathematics - Rings and Algebras ,13F60 - Abstract
We study tropical friezes and cluster-additive functions associated to symmetrizable generalized Cartan matrices in the framework of Fock-Goncharov duality in cluster algebras. In particular, we generalize and prove a conjecture of C. M. Ringel on cluster-additive functions associated to arbitrary Cartan matrices of finite type. For a Fock-Goncharov dual pair of positive spaces of finite type, we use tropical friezes and cluster-additive functions to explicitly express the Fock-Goncharov pairing between their tropical points and the bijections between global monomials on one and tropical points of the other., Comment: Previously this work appeared as arXiv:2405.10330 which was mistakenly submitted as a new article
- Published
- 2023
45. An Improved Estimation Algorithm of Space Targets Pose Based on Multi-Modal Feature Fusion
- Author
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Jiang Hua, Tonglin Hao, Liangcai Zeng, and Gui Yu
- Subjects
space targets pose ,deep neural networks ,feature fusion ,fast pose estimation ,strong stability ,Mathematics ,QA1-939 - Abstract
The traditional estimation methods of space targets pose are based on artificial features to match the transformation relationship between the image and the object model. With the explosion of deep learning technology, the approach based on deep neural networks (DNN) has significantly improved the performance of pose estimation. However, the current methods still have problems such as complex calculation, low accuracy, and poor real-time performance. Therefore, a new pose estimation algorithm is proposed in this paper. Firstly, the mask image of the target is obtained by the instance segmentation algorithm, and its point cloud image is obtained based on a depth map combined with camera parameters. Finally, the correlation among points is established to realize the prediction of pose based on multi-modal feature fusion. Experimental results in the YCB-Video dataset show that the proposed algorithm can recognize complex images at a speed of about 24 images per second with an accuracy of more than 80%. In conclusion, the proposed algorithm can realize fast pose estimation for complex stacked objects and has strong stability for different objects.
- Published
- 2021
- Full Text
- View/download PDF
46. YOLOMask, an Instance Segmentation Algorithm Based on Complementary Fusion Network
- Author
-
Jiang Hua, Tonglin Hao, Liangcai Zeng, and Gui Yu
- Subjects
image segmentation ,deep learning ,instance segmentation ,fusion network ,Mathematics ,QA1-939 - Abstract
Object detection and segmentation can improve the accuracy of image recognition, but traditional methods can only extract the shallow information of the target, so the performance of algorithms is subject to many limitations. With the development of neural network technology, semantic segmentation algorithms based on deep learning can obtain the category information of each pixel. However, the algorithm cannot effectively distinguish each object of the same category, so YOLOMask, an instance segmentation algorithm based on complementary fusion network, is proposed in this paper. Experimental results on public data sets COCO2017 show that the proposed fusion network can accurately obtain the category and location information of each instance and has good real-time performance.
- Published
- 2021
- Full Text
- View/download PDF
47. New Correlation of the Temperature-Dependent Thermal Conductivity of Binary Saturated Refrigerants Mixtures
- Author
-
Yanmeng Lv, Tian, Jianxiang, and Jiang, Hua
- Published
- 2024
- Full Text
- View/download PDF
48. Hand–Eye Calibration Algorithm Based on an Optimized Neural Network
- Author
-
Jiang Hua and Liangcai Zeng
- Subjects
robot coordinate system ,camera coordinate system ,hand–eye calibration ,optimized neural network ,Materials of engineering and construction. Mechanics of materials ,TA401-492 ,Production of electric energy or power. Powerplants. Central stations ,TK1001-1841 - Abstract
A robot can identify the position of a target and complete a grasping based on the hand–eye calibration algorithm, through which the relationship between the robot coordinate system and the camera coordinate system can be established. The accuracy of the hand–eye calibration algorithm affects the real-time performance of the visual servo system and the robot manipulation. The traditional calibration technique is based on a perfect mathematical model AX = XB, in which the X represents the relationship of (A) the camera coordinate system and (B) the robot coordinate system. The traditional solution to the transformation matrix has a certain extent of limitation and instability. To solve this problem, an optimized neural-network-based hand–eye calibration method was developed to establish a non-linear relationship between robotic coordinates and pixel coordinates that can compensate for the nonlinear distortion of the camera lens. The learning process of the hand–eye calibration model can be interpreted as B=fA, which is the coordinate transformation relationship trained by the neural network. An accurate hand–eye calibration model can finally be obtained by continuously optimizing the network structure and parameters via training. Finally, the accuracy and stability of the method were verified by experiments on a robot grasping system.
- Published
- 2021
- Full Text
- View/download PDF
49. Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning
- Author
-
Jiang Hua, Liangcai Zeng, Gongfa Li, and Zhaojie Ju
- Subjects
dexterous manipulation ,adaptive and robust control ,deep reinforcement learning ,imitation learning ,transfer learning ,Chemical technology ,TP1-1185 - Abstract
Dexterous manipulation of the robot is an important part of realizing intelligence, but manipulators can only perform simple tasks such as sorting and packing in a structured environment. In view of the existing problem, this paper presents a state-of-the-art survey on an intelligent robot with the capability of autonomous deciding and learning. The paper first reviews the main achievements and research of the robot, which were mainly based on the breakthrough of automatic control and hardware in mechanics. With the evolution of artificial intelligence, many pieces of research have made further progresses in adaptive and robust control. The survey reveals that the latest research in deep learning and reinforcement learning has paved the way for highly complex tasks to be performed by robots. Furthermore, deep reinforcement learning, imitation learning, and transfer learning in robot control are discussed in detail. Finally, major achievements based on these methods are summarized and analyzed thoroughly, and future research challenges are proposed.
- Published
- 2021
- Full Text
- View/download PDF
50. Change in the stability of goat milk and cow milk due to pH and heat
- Author
-
Fan Xiaoxue, Cheng Ming, Zhang Xiaoning, Wang Cunfang, and Jiang Hua
- Subjects
Environmental sciences ,GE1-350 - Abstract
This paper aimed to evaluate the changes in the thermal stability of goat milk, cow milk and homogenized milk under different pH conditions. The results showed that goat milk was of type B milk, and the thermal stability were positively correlated with the pH value. But cow milk was of type A milk, the most stable pH of fresh milk was 6.9, while it was 6.7 for homogenized cow milk. Compared with cow milk, the acidification of goat milk was stronger due to heat. Therefore, in the process of milk production, the germicidal heating conditions of two different milk sources should be determined according to their thermal stability.
- Published
- 2021
- Full Text
- View/download PDF
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