17,371 results on '"Yao, Yao"'
Search Results
202. Tuning sodium wettability and pore tortuosity for superior sodium storage
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Xiao, Yao-Yao, Liu, Yi-Hui, Liu, Bing-Bing, Qi, Zhen-Guo, Zhang, You-Bin, Liu, Fu-Sheng, and Qin, Guo-Hui
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- 2023
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203. Pregnane X receptor activation alleviates renal fibrosis in mice via interacting with p53 and inhibiting the Wnt7a/β-catenin signaling
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Ming, Wen-hua, Luan, Zhi-lin, Yao, Yao, Liu, Hang-chi, Hu, Shu-yuan, Du, Chun-xiu, Zhang, Cong, Zhao, Yi-hang, Huang, Ying-zhi, Sun, Xiao-wan, Qiao, Rong-fang, Xu, Hu, Guan, You-fei, and Zhang, Xiao-yan
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- 2023
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204. Phthalates, physical activity, and diet, which are the most strongly associated with obesity? A case-control study of Chinese children
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Li, Di, Yao, Yao, Chen, Dingyan, Wu, Yu, Liao, Yi, and Zhou, Li
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- 2023
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205. CD318 is a target of chimeric antigen receptor T cells for the treatment of colorectal cancer
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Li, Ming, Li, Shanglin, Zhao, Ruocong, Lv, Jiang, Zheng, Diwei, Qin, Le, Li, Siyu, Wu, Qiting, Long, Youguo, Tang, Zhaoyang, Tang, Yan-Lai, Yang, Lihua, Yao, Yao, Luo, Xuequn, and Li, Peng
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- 2023
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206. Plasticity of Phoebe bournei seedlings adapting to low light environment
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AN Jing, WEI Xiaoli, YAO Yao, JIN Nianqing, WU Gaoyin, and WANG Xiao
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low light ,phoebe bournei seedling ,leaf morphology ,photosynthetic physiology ,plasticity ,Botany ,QK1-989 - Abstract
The purpose of this study is to explore the survival strategy of Phoebe bournei seedlings in natural communities under extremely low light environment. Two-year-old seedlings of P. bournei were used as experimental materials. Leaf morphology, anatomical structure and photosynthetic physiological characteristics of P. bournei seedlings were measured by simulating different light environments (100%, 35% and 10% light transmittance), and to explore the internal relationship between seedling morphology, physiological plasticity and light adaptation. The results were as follows: (1) The leaf length, leaf width, leaf area and specific leaf area (SLA) of seedlings increased with the decrease of light intensity. The leaf thickness, palisade tissue thickness, spongy tissue thickness and palisade/spongy (palisade tissue thickness/spongy tissue thickness) of 10% light transmittance were the minimum. (2) The net photosynthetic rate (Pn), stomatal conductance (Gs), transpiration rate (Tr), light utilization efficiency (LUE), photochemical quenching coefficient (qp), non photochemical quenching coefficient (NPQ), effective photosynthetic quantum yield (Fv′/Fm′) and potential photochemical efficiency (Fv/Fo) of photosystem Ⅱ of 35% light transmittance were significantly higher than those of 100% and 10% light transmittances. (3) Chlorophyll a, chlorophyll b, carotenoids, total chlorophyll and maximal photochemical efficiency (Fv/Fm) all increased with the decrease of light intensity, but chlorophyll a/b decreased with the decrease of light intensity. (4) The phenotypic plasticity indexes of seedling structure and physiology showed that photosynthetic pigment content characteristics > morphological characteristics > photosynthetic characteristics > anatomical structure characteristics > chlorophyll fluorescence parameter characteristics, among which, the phenotypic plasticity indexes of leaf area, SLA, Pn, Gs, LUE and photosynthetic pigment content ranged from 0.455 to 0.755. To sum up, P. bournei seedlings are not suitable to grow under full light, and perform well under about 35% light transmittance; under extremely low light with 10% light transmittance, P. bournei leaves can improve light energy capture by increasing leaf area, SLA, Pn and photosynthetic pigment content; the seedlings of P. bournei mainly adapt to the low light environment by adjusting the plasticity of photosynthetic pigment content and morphology, coordinating with the changes of anatomical structure, photosynthetic physiology and chlorophyll fluorescence parameter plasticity. This study can provide theoretical reference for the management and selection of light environment of P. bournei for future cultivation.
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- 2024
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207. Effect of High Temperature Deformation Parameters on Microstructure Evolution of 4J32 Super Invar Alloy
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Wang Yu, Yao Yao, Tian Yuxin
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4j32 super invar alloy; thermal simulation; dynamic recrystallization; microstructure ,Materials of engineering and construction. Mechanics of materials ,TA401-492 ,Technology - Abstract
The microstructure and morphology of the alloy were characterized by metallographic microscope and thermasimulation test and other equipment, and the thermal deformation parameters were set at different strain temperatures of 850-1150 ℃ and strain rates of 0. 1-10 s-1. It was analyzed by combining the stress-strain curve of thermal simulation compression test and the microstructure morphology, the thermal deformation behavior and microsturcture morphology evolution process of 4J32 super invar alloy (Fe-32Ni-4Co) at high temperature 850-1 150 ℃ were systematically studied. It is found that no dynamic recrystallization occurs during hot deformation of 4J32 super invar alloy below 900 ℃, and there are a lot of deformed grain structures in the alloy. When the thermal deformation temperature is greater than 1 050 ℃, the dynamic recrystallization of the alloy begins, and the faster the strain rate, the higher the dynamic recrystallization degree.The results show that the optimum thermal deformation temperature of super invar alloy is greater than 1100 ℃ and the strain rate is 10 s-1.
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- 2024
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208. Associations between cooking fuel use, its transitions, and worsening sensory impairments among Chinese middle-aged and older adults: a cohort study
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Shaojie Li, Guanghui Cui, Mingzheng Hu, Yang Hu, Longbing Ren, Yuling Jiang, Jing Sun, Zhe Luan, Kejia Hu, Yunquan Zhang, Gang Sun, and Yao Yao
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Household air pollution ,Sensory impairments ,Cooking fuels ,China ,Geriatrics ,RC952-954.6 - Abstract
Abstract Background This study aimed to explore the associations between household air pollution (HAP), measured by cooking fuel use, sensory impairments (SI), and their transitions in Chinese middle-aged and older adults. Methods Participants were recruited from the 2011 China Health and Retirement Longitudinal Study (CHARLS) and were subsequently followed up until 2018. Data on SI were collected by self-reported hearing and vision impairments, which were divided into three categories: non-SI, single SI (hearing or vision impairment), and dual SI (DSI). Cooking fuels, including solid and clean fuels, are proxies for HAP. The transitions of cooking fuels and SI refer to the switching of the fuel type or SI status from baseline to follow-up. Cox proportional hazard regression models were used to explore associations, and hazard ratios (HRs) and 95% confidence intervals (CI) were used to evaluate the strength of the association. Results The prevalence of non-SI, single SI, and DSI was 59.6%, 31.8%, and 8.6%, respectively, among the 15,643 participants at baseline in this study. Over a median follow-up of 7.0 years, 5,223 worsening SI transitions were observed. In the fully adjusted model, solid fuel use for cooking was associated with a higher risk of worsening SI transitions, including from non-SI to single SI (HR = 1.08, 95% CI = 1.01–1.16) and from non-SI to DSI (HR = 1.26, 95% CI = 1.09–1.47), but not from single SI to DSI. In addition, compared to those who always used solid fuels, participants who switched from solid to clean fuel for cooking appeared to have attenuated the risk of worsening SI transitions. The statistical significance of the associations remained in the set of sensitivity analyses. Conclusion Solid fuel use was associated with higher risks of worsening SI transitions, while converting the type of cooking fuel from solid to clean fuels may reduce the risk of worsening SI transitions. Our study suggests that tailored clean fuel interventions, especially in developing countries, should be implemented to prevent sensory impairments and hence reduce the burden of sensory impairment-related disability.
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- 2024
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209. Predictive value of preoperative platelet count and D-dimer levels for spinal cord injury following acute type a aortic dissection
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Fengbo Pei, Jinhua Wei, Yao Yao, Hui Wu, and Zujun Chen
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Spinal cord injury ,Acute type a aortic dissection ,Platelet ,D-dimer ,Surgery ,RD1-811 ,Anesthesiology ,RD78.3-87.3 - Abstract
Abstract Background This study aims to identify the risk factors contributing to spinal cord injury (SCI) following a type A acute aortic dissection (TA-AAD). Methods This retrospective study was conducted at a single center and involved 481 patients who received frozen elephant trunk stent implantation for TA-AAD. Additionally, these patients underwent total arch replacement with deep hypothermic circulatory arrest. This study was performed at Fuwai Hospital between September 2016 and April 2020. Results The resulting data of the multivariate logistic regression analysis demonstrated that preoperative platelet count (odds ratio [OR] = 0.774) and D-dimer levels (OR = 2.247) could serve as independent predictors for postoperative SCI in patients with TA-AAD. Conclusion The findings indicate that preoperative platelet count and D-dimer levels are independent risk factors for postoperative SCI in patients with TA-AAD. This study holds significant clinical implications regarding the prognosis and therapeutic responses for patients with TA-AAD.
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- 2024
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210. Differing roles of North Atlantic oceanic and atmospheric transports in the winter Eurasian Arctic sea-ice interannual-to-decadal variability
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Jiaqi Shi, Binhe Luo, Dehai Luo, Yao Yao, Tingting Gong, and Yimin Liu
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Environmental sciences ,GE1-350 ,Meteorology. Climatology ,QC851-999 - Abstract
Abstract In recent decades, winter Arctic sea-ice concentration (SIC) has experienced a most prominent decline over Barents-Kara Seas (BKS). However, what regulates the time scale and spatial structure of the SIC variability over the Eurasian Arctic is unclear. Here, we find that the SIC variability over the Eurasian Arctic exhibits two major modes: decadal dipole mode with antiphase variation between the BKS and East Greenland (EG), and interannual monopole mode with in-phase variation between the BKS and EG. This decadal mode mainly results from interdecadal changes in ocean heat transports (OHTs) through Barents Sea Opening (BSO) and EG, lagging the Atlantic Multidecadal Oscillation by 7–16 years. The positive SIC dipole mode with a decrease over the BKS and an increase over the EG is also tied to the negative Arctic Oscillation comprised of Ural blocking and the negative North Atlantic Oscillation (NAO). However, the SIC loss of the interannual monopole mode mainly stems from the positive Arctic dipole comprised of Ural blocking and positive NAO through interannual changes in the BSO OHT and atmospheric moisture or heat transport. We further highlight that interannual atmospheric transports and BSO OHT associated with the Arctic dipole contribute to ~66% and ~34% of the interannual variability of the Eurasian Arctic SIC during 1960-2017, respectively. On decadal timescales, the relative contributions of atmospheric transports associated with Arctic Oscillation and OHT to the Eurasian Arctic SIC variability are ~19% and ~81%, respectively. Especially, the contribution of decadal atmospheric transports is significantly intensified during 2000–2017.
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- 2024
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211. Identification of a potent palladium-aryldiphosphine catalytic system for high-performance carbonylation of alkenes
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Kang Zhao, Hongli Wang, Teng Li, Shujuan Liu, Enrico Benassi, Xiao Li, Yao Yao, Xiaojun Wang, Xinjiang Cui, and Feng Shi
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Science - Abstract
Abstract The development of stable and efficient ligands is of vital significance to enhance the catalytic performance of carbonylation reactions of alkenes. Herein, an aryldiphosphine ligand (L11) bearing the [Ph2P(ortho-C6H4)]2CH2 skeleton is reported for palladium-catalyzed regioselective carbonylation of alkenes. Compared with the industrially successful Pd/1,2-bis(di-tert-butylphosphinomethyl)benzene catalyst, catalytic efficiency catalyzed by Pd/L11 on methoxycarbonylation of ethylene is obtained, exhibiting better catalytic performance (TON: >2,390,000; TOF: 100,000 h−1; selectivity: >99%) and stronger oxygen-resistance stability. Moreover, a substrate compatibility (122 examples) including chiral and bioactive alkenes or alcohols is achieved with up to 99% yield and 99% regioselectivity. Experimental and computational investigations show that the appropriate bite angle of aryldiphosphine ligand and the favorable interaction of 1,4-dioxane with Pd/L11 synergistically contribute to high activity and selectivity while the electron deficient phosphines originated from electron delocalization endow L11 with excellent oxygen-resistance stability.
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- 2024
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212. Activation of TGR5 Increases Urine Concentration by Inducing AQP2 and AQP3 Expression in Renal Medullary Collecting Ducts
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Yanlin Guo, Rongfang Qiao, Guixiang Xie, Yao Yao, Chunxiu Du, Yunxia Shao, Youfei Guan, and Xiaoyan Zhang
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tgr5 ,bile acid ,aquaporin ,collecting duct ,urine concentration ,Internal medicine ,RC31-1245 - Abstract
Introduction: G protein-coupled bile acid receptor (TGR5), the first G protein-coupled receptor for bile acids identified, is capable of activating a variety of intracellular signaling pathways after interacting with bile acids. TGR5 plays an important role in multiple physiological processes and is considered to be a potential target for the treatment of various metabolic diseases, including type 2 diabetes. Evidence has emerged that genetic deletion of TGR5 results in an increase in basal urine output, suggesting that it may play a critical role in renal water and salt reabsorption. The present study aims to elucidate the effect and mechanism of TGR5 activation on urine concentration. Methods: Mice were treated with TGR5 agonists (LCA and INT-777) for 3 days. The 24-h urine of mice was collected and analyzed for urine biochemical parameters. The mRNA expressions were detected by real-time PCR, and the protein expressions were detected by western blot. Immunohistochemistry and immunofluorescence were performed to examine the cellular location of proteins. The cultured primary medullary collecting duct cells were pretreated with H89 (a PKA inhibitor) for 1 h, followed by 12-h treatment of LCA and INT-777. Luciferase reporter assays were used to detect the effect of CREB on the gene transcription of AQPs. Gel electrophoretic mobility shift assays were used to analyze DNA–protein interactions. Results: Treatment of mice with the TGR5 agonist LCA and INT-777 markedly reduced urine output and increased urine osmolality, accompanied by a marked increase in AQP2 and AQP3 protein expression and membrane translocation. In cultured primary medullary collecting duct cells, LCA and INT-777 dose-dependently upregulated AQP2 and AQP3 expression in a cAMP/PKA-dependent manner. Mechanistically, both AQP2 and AQP3 gene promoter contains a putative CREB-binding site, which can be bound and activated by CREB as assessed by both gene promoter-driven luciferase and gel shift assays. Conclusion: Collectively, our findings demonstrate that activation of TGR5 can promote urine concentration by upregulation of AQP2 and AQP3 expression in renal collecting ducts. TGR5 may represent an attractive target for the treatment of patients with urine concentration defect.
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- 2024
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213. Endothelial and mural laminin-α5 contributes to neurovascular integrity maintenance
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Abhijit Nirwane, Minkyung Kang, Aravinthan Adithan, Vrishni Maharaj, Felicia Nguyen, Elliot Santaella Aguilar, Ava Nasrollahi, and Yao Yao
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Neurovascular unit ,Transcytosis ,Endothelial cells ,Mural cells ,Laminin-α5 ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Abstract Background Laminin-α5, a major component of the basal lamina, is predominantly synthesized by endothelial and mural cells (pericytes and vascular smooth muscle cells) in the CNS. Loss of laminin-α5 in either population fails to induce any abnormalities due to functional redundancy. Thus, the functional significance of laminin-α5 in neurovascular integrity remains unknown. Here, we hypothesize that ablation of laminin-α5 in both endothelial and mural cells increases neurovascular permeability. Methods The compound knockout mice were generated by crossing laminin-α5 floxed mice with Tie2-Cre and PDGFRβ-Cre, which target endothelial cells and mural cells, respectively. Neurovascular permeability in these mutants was determined with both exogenous and endogenous tracers. Endothelial paracellular and transcellular permeability was assessed by examining the expression of tight junction proteins and transcytosis-associated proteins. In addition, transmission electron microscopy (TEM) was used to visualize tight junction ultrastructure and endothelial caveolae vesicles. Defects in pericytes and astrocytes were investigated by examining pericyte coverage/contact and astrocyte polarity. Results Elevated neurovascular permeability was observed in the mutants. Subsequent studies found increased Caveolin-1 and decreased major facilitator superfamily domain-containing protein 2a (MFSD2A) expression, but unaltered Claudin-5 or zonula occludens-1 (ZO-1) expression. Consistent with these results, mutant mice exhibited increased endothelial caveolae vesicle number with intact tight junction structure under TEM. Additionally, pericyte coverage and contact were also decreased in the mutant mice, while astrocyte polarity was unaffected. Conclusions These results strongly indicate that endothelial and mural cell-derived laminin-α5 actively maintains neurovascular integrity via the transcellular rather than paracellular mechanism.
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- 2024
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214. Using a participatory design to develop an implementation framework for integrating falls prevention for older people within the Chinese primary health care system
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Pengpeng Ye, Junyi Peng, Ye Jin, Leilei Duan, Yao Yao, Rebecca Ivers, Lisa Keay, and Maoyi Tian
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Falls prevention ,Implementation ,Participatory design ,Primary health care ,China ,Geriatrics ,RC952-954.6 - Abstract
Abstract Background Chinese National Essential Public Health Service Package (NEPHSP) has mandated primary health care providers to provide falls prevention for community-dwelling older people. But no implementation framework is available to guide better integration of falls prevention for older people within the primary health care system. Methods This is a two-stage online participatory design study consisting of eight workshops with stakeholders from three purposively selected cities. First, two workshops were organised at each study site to jointly develop the framework prototype. Second, to refine, optimise and finalise the prototype via two workshops with all study participants. Data analysis and synthesis occurred concurrently with data collection, supported by Tencent Cloud Meeting software. Results All participants confirmed that the integration of falls prevention for older people within the NEPHSP was weak and reached a consensus on five opportunities to better integrate falls prevention, including workforce training, community health promotion, health check-ups, health education and scheduled follow-up, during the delivery of NEPHSP. Three regional-tailored prototypes were then jointly developed and further synthesised into a generic implementation framework by researchers and end-users. Guided by this framework, 11 implementation strategies were co-developed under five themes. Conclusions The current integration of falls prevention in the NEPHSP is weak. Five opportunities for integrating falls prevention in the NEPHSP and a five-themed implementation framework with strategies are co-identified and developed, using a participatory design approach. These findings may also provide other regions or countries, facing similar challenges, with insights for promoting falls prevention for older people.
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- 2024
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215. Combined effects of vitamin D deficiency and systemic inflammation on all-cause mortality and cause-specific mortality in older adults
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Chi Zhang, Ju Cui, Shaojie Li, Ji Shen, Xuanmei Luo, Yao Yao, and Hong Shi
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25-hydroxyvitamin D ,C-reactive protein ,Mortality ,Older adults ,Geriatrics ,RC952-954.6 - Abstract
Abstract Background Vitamin D deficiency and systemic inflammation share common pathological mechanisms in muscle loss, cardio-pulmonary function decline, and abnormal metabolism, which are linked to chronic conditions, senescence, and early mortality. However, their combined effect on mortality in older adults has not been well established. This study longitudinal aimed to explore the independent and combined associations of serum 25-hydroxyvitamin D [25(OH)D] and high sensitivity C-reactive protein (hs-CRP) with mortality risk in Chinese community-based older people. Methods 3072 older adults (86.07 ± 11.87 years, 54.52% female) from the Chinese Longitudinal Healthy Longevity Survey (2012–2018) were enrolled. Baseline 25(OH)D and hs-CRP levels were collected, and survival information was recorded in the 2014 and 2018 follow-up waves. Cox proportional hazard regressions were conducted to explore the associations between 25(OH)D, hs-CRP, and mortality. Demographic characteristics, health behaviors, and chronic disease biomarkers were adjusted. Results During 10,622.3 person-years of follow-up (median: 3.51 years), 1321 older adults died, including 448 deaths due to cardiovascular disease (CVD). Increased mortality risk was associated with lower 25(OH)D and higher hs-CRP quantiles, even after adjusting for each other and multiple covariates (all P-trend 0). Conclusions Low 25(OH)D and high hs-CRP, both independently and jointly, increase mortality risk in Chinese community-dwelling older adults. Thus, priority should be given to early detection and appropriate intervention in older individuals with combined vitamin D deficiency and systemic inflammation. Molecular mechanisms of related adverse health effect are worthy of further investigation.
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- 2024
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216. More common RNAemia in the early stage of severe SARS-CoV-2 BF.7.14 infections in pediatric patients
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Yu Sun, Runan Zhu, Yang Pan, Ri De, Shuang Liu, Liping Jia, Bing Lv, Xiaoyun Li, Dongmei Chen, Yao Yao, Dong Qu, Daitao Zhang, and Linqing Zhao
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Severe SARS-CoV-2 infection ,Pediatric patients ,Risk factor ,RNAemia ,BF.7.14 ,Infectious and parasitic diseases ,RC109-216 ,Public aspects of medicine ,RA1-1270 - Abstract
The risk factors of severe infections in children during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak in Beijing remain elusive. SARS-CoV-2-positive children admitted to the intensive care unit (ICU) with collected plasma specimens were enrolled and screened for common pathogens using capillary electrophoresis-based multiplex PCR from December 12, 2022, to January 24, 2023. The SARS-CoV-2 sub-variants were identified using next-generation sequencing. Plasma was positive for two (positive; P), one (suspicious; S), or no (negative; N) SARS-CoV-2 genes were classified as plasmatic RNA-positive (RNAemia; P + S) or without RNAemia (N). Clinical and laboratory data of the enrolled cases were then collected and analyzed. The 34 enrolled children included 26 males and 24 younger than three years. All were negative for other respiratory pathogens. BF.7.14 (18/29) was the predominant subvariant. Viral loads in respiratory specimens, hours from symptom onset to the first respiratory specimen collection (time-variable), with comorbidities and BF.7.14 and BA.5.2 distributions were significantly different in P vs. N and RNAemia vs. without RNAemia group. Among most cases, the T lymphocyte ratios decreased, while the cytokine level and the B lymphocyte ratio increased. The time variables were 2.22 ± 2.05 and 4.00 ± 2.49 days in BF.7.14 and BA.5.2 infections, respectively. In conclusion, SARS-CoV-2 was more likely to cause severe infections among males aged ≤ 3 years old with comorbidities during the SARS-CoV-2 outbreak in Beijing, while RNAemia is more common in children at the early stage of severe BF.7.14 infections, and most had high cytokine levels and B-cell activation.
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- 2024
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217. A publicly available newborn ear shape dataset for medical diagnosis of auricular deformities
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Liu-Jie Ren, Fei Luo, Zhi-Wei Yang, Li-Li Chen, Xin-Yue Wang, Chen-Long Li, You-Zhou Xie, Ji-Mei Wang, Tian-Yu Zhang, Shuo Wang, and Yao-Yao Fu
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Science - Abstract
Abstract Early and accurate diagnosis of ear deformities in newborns is crucial for an effective non-surgical correction treatment, since this commonly seen ear anomalies would affect aesthetics and cause mental problems if untreated. It is not easy even for experienced physicians to diagnose the auricular deformities of newborns and the classification of the sub-types, because of the rich bio-metric features embedded in the ear shape. Machine learning has already been introduced to analyze the auricular shape. However, there is little publicly available datasets of ear images from newborns. We released a dataset that contains quality-controlled photos of 3,852 ears from 1,926 newborns. The dataset also contains medical diagnosis of the ear shape, and the health data of each newborn and its mother. Our aim is to provide a freely accessible dataset, which would facilitate researches related with ear anatomies, such as the AI-aided detection and classification of auricular deformities and medical risk analysis.
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- 2024
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218. Incidence and risk factors of perioperative deep vein thrombosis in patients undergoing primary hip arthroplasty via the direct anterior approach
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Zaikai Zhuang, Qiangqiang Li, Yao Yao, Ying Shen, Dongyang Chen, and Qing Jiang
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Deep vein thrombosis ,Hip arthroplasty ,Direct anterior approach ,Risk factors ,Orthopedic surgery ,RD701-811 ,Diseases of the musculoskeletal system ,RC925-935 - Abstract
Abstract Background Deep vein thrombosis (DVT) is a frequent complication following hip arthroplasty. There still has been a lack of studies analyzing the perioperative risk factors of DVT following hip arthroplasty via direct anterior approach (DAA). Methods Patients who underwent unilateral primary hip arthroplasty via DAA in our hospital from August 2015 to January 2022 were included. Patients’ data, including demographic data, clinical features, past medical history, operative data, and laboratory data, were analyzed and compared between patients with and without DVT. Logistic regression analysis was conducted to identify the independent risk factors. Receiver operating characteristic (ROC) curve analysis was used to assess the best cutoff value of continuous variables with statistical significance. Result A total of 651 patients were included. The incidence of DVT before and after hip arthroplasty was 12.7% and 6.7%, respectively. Logistic regression analysis indicated that age ≥ 65 years (OR 4.594, 95% CI 1.994–10.587), women (OR 2.331, 95% CI 1.285–4.227), and cerebral infarction (OR 1.984, 95% CI 1.138–3.460) were independent risk factors for preoperative DVT. And age ≥ 65 years (OR 4.859, 95% CI 1.062–22.226), tumor (OR 3.622, 95% CI 1.108–11.841), and preoperative D-dimer (OR 1.040, 95% CI 1.004–1.078) were risk factors for postoperative DVT. The ROC curve analysis showed that the best cutoff value of preoperative D-dimer for the diagnosis of postoperative DVT is 1.44 mg/L. Conclusions The incidence of DVT in patients undergoing DAA hip arthroplasty was low and the occurrence of DVT before and after unilateral primary hip arthroplasty performed through DAA was related to multiple factors.
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- 2024
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219. Biocatalytic β-glucosylation/β-galactosylation of Rebaudioside C by glycosynthases
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Ye-Yang Yu, Si-Yu Zhang, Jia-Hui Sun, Yu-Yang Li, Yao-Yao Zhang, Ai-Min Lu, Li Liu, and Josef Voglmeir
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rebaudioside c ,glycosynthase ,glycosyl fluoride ,glycosylation ,protein engineering ,Food processing and manufacture ,TP368-456 - Abstract
Extracts of Stevia rebaudiana Bertoni plant leaves contain a mixture of diterpene glycosides which possess high sweetness and are used as non-caloric sweeteners in foods and beverages. One of the most abundant of these steviol glycosides is Rebaudioside C (Reb C), which bears one esterified β-D-glucose and one glycosidically linked α-L-rhamnosyl-(1→2)-[β-D-glucosyl-(1→4)]-D-glucose trisaccharide. In this work, we isolated Reb C from commercial Stevia extracts using an orthogonal normal-phase × reversed-phase purification strategy. We then demonstrated that Reb C could be used as a donor substrate for enzymatic trans glycosylation reactions using chemically synthesized 1-deoxy-1-fluoro-D-glucose and 1-deoxy-1-fluoro-D-galactose donors and two engineered glycosynthases derived from Agrobacterium and Streptomyces β-glycosidases. This chemoenzymatic glucosylation/galactosylation strategy may be of use to extend the current repertoire of steviol glycosides analogues for analysis or the sensory evaluation of these novel steviol glycosides.
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- 2024
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220. Comprehensive assessment of fine motor movement and cognitive function among older adults in China: a cross-sectional study
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Jie Zhang, Ye-Jing Zhao, Jun-Yi Wang, Han Cui, Shaojie Li, Xue Meng, Rui-Yu Cai, Juan Xie, Su-Ya Sun, Yao Yao, and Jing Li
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Fine motor movement ,Cognitive function ,MEMS motion capture technology ,Various dimensions assessment ,Geriatrics ,RC952-954.6 - Abstract
Abstract Background Fine motor skills are closely related to cognitive function. However, there is currently no comprehensive assessment of fine motor movement and how it corresponds with cognitive function. To conduct a complete assessment of fine motor and clarify the relationship between various dimensions of fine motor and cognitive function. Methods We conducted a cross-sectional study with 267 community-based participants aged ≥ 60 years in Beijing, China. We assessed four tests performance and gathered detailed fine motor indicators using Micro-Electro-Mechanical System (MEMS) motion capture technology. The wearable MEMS device provided us with precise fine motion metrics, while Chinese version of the Montreal Cognitive Assessment (MoCA) was used to assess cognitive function. We adopted logistic regression to analyze the relationship between fine motor movement and cognitive function. Results 129 (48.3%) of the participants had cognitive impairment. The vast majority of fine motor movements have independent linear correlations with MoCA-BJ scores. According to logistic regression analysis, completion time in the Same-pattern tapping test (OR = 1.033, 95%CI = 1.003–1.063), Completion time of non-dominant hand in the Pieces flipping test (OR = 1.006, 95%CI = 1.000-1.011), and trajectory distance of dominant hand in the Pegboard test (OR = 1.044, 95%CI = 1.010–1.068), which represents dexterity, are related to cognitive impairment. Coordination, represented by lag time between hands in the Same-pattern tapping (OR = 1.663, 95%CI = 1.131–2.444), is correlated with cognitive impairment. Coverage in the Dual-hand drawing test as an important indicator of stability is negatively correlated with cognitive function (OR = 0.709, 95%CI = 0.6501–0.959). Based on the above 5-feature model showed consistently high accuracy and sensitivity at the MoCA-BJ score (ACU = 0.80–0.87). Conclusions The results of a comprehensive fine-motor assessment that integrates dexterity, coordination, and stability are closely related to cognitive functioning. Fine motor movement has the potential to be a reliable predictor of cognitive impairment.
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- 2024
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221. Critical Regularizations for Neural Surface Reconstruction in the Wild
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Zhang, Jingyang, Yao, Yao, Li, Shiwei, Fang, Tian, McKinnon, David, Tsin, Yanghai, and Quan, Long
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Neural implicit functions have recently shown promising results on surface reconstructions from multiple views. However, current methods still suffer from excessive time complexity and poor robustness when reconstructing unbounded or complex scenes. In this paper, we present RegSDF, which shows that proper point cloud supervisions and geometry regularizations are sufficient to produce high-quality and robust reconstruction results. Specifically, RegSDF takes an additional oriented point cloud as input, and optimizes a signed distance field and a surface light field within a differentiable rendering framework. We also introduce the two critical regularizations for this optimization. The first one is the Hessian regularization that smoothly diffuses the signed distance values to the entire distance field given noisy and incomplete input. And the second one is the minimal surface regularization that compactly interpolates and extrapolates the missing geometry. Extensive experiments are conducted on DTU, BlendedMVS, and Tanks and Temples datasets. Compared with recent neural surface reconstruction approaches, RegSDF is able to reconstruct surfaces with fine details even for open scenes with complex topologies and unstructured camera trajectories., Comment: CVPR 2022
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- 2022
222. Strolling in Room-Scale VR: Hex-Core-MK1 Omnidirectional Treadmill
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Wang, Ziyao, Liu, Chiyi, Chen, Jialiang, Yao, Yao, Fang, Dazheng, Shi, Zhiyi, Yan, Rui, Wang, Yiye, Zhang, KanJian, Wang, Hai, and Wei, Haikun
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Computer Science - Human-Computer Interaction ,68M99 - Abstract
The natural locomotion interface is critical to the development of many VR applications. For household VR applications, there are two basic requirements: natural immersive experience and minimized space occupation. The existing locomotion strategies generally do not simultaneously satisfy these two requirements well. This paper presents a novel omnidirectional treadmill (ODT) system, named Hex-Core-MK1 (HCMK1). By implementing two kinds of mirror symmetrical spiral rollers to generate the omnidirectional velocity field, this proposed system is capable of providing real walking experiences with a full-degree of freedom in an area as small as 1.76 m^2, while delivering great advantages over several existing ODT systems in terms of weight, volume, latency and dynamic performance. Compared with the sizes of Infinadeck and HCP, the two best motor-driven ODTs so far, the 8 cm height of HCMK1 is only 20% of Infinadeck and 50% of HCP. In addition, HCMK1 is a lightweight device weighing only 110 kg, which provides possibilities of further expanding VR scenarios, such as terrain simulation. The latency of HCMK1 is only 23ms. The experiments show that HCMK1 can deliver on a starting acceleration of 16.00 m/s^2 and a braking acceleration of 30.00 m/s^2., Comment: 12 pages, 12 figures, TVCG under review
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- 2022
223. i-Razor: A Differentiable Neural Input Razor for Feature Selection and Dimension Search in DNN-Based Recommender Systems
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Yao, Yao, Liu, Bin, He, Haoxun, Sheng, Dakui, Wang, Ke, Xiao, Li, and Cao, Huanhuan
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Computer Science - Information Retrieval ,Computer Science - Artificial Intelligence ,Computer Science - Machine Learning - Abstract
Input features play a crucial role in DNN-based recommender systems with thousands of categorical and continuous fields from users, items, contexts, and interactions. Noisy features and inappropriate embedding dimension assignments can deteriorate the performance of recommender systems and introduce unnecessary complexity in model training and online serving. Optimizing the input configuration of DNN models, including feature selection and embedding dimension assignment, has become one of the essential topics in feature engineering. However, in existing industrial practices, feature selection and dimension search are optimized sequentially, i.e., feature selection is performed first, followed by dimension search to determine the optimal dimension size for each selected feature. Such a sequential optimization mechanism increases training costs and risks generating suboptimal input configurations. To address this problem, we propose a differentiable neural input razor (i-Razor) that enables joint optimization of feature selection and dimension search. Concretely, we introduce an end-to-end differentiable model to learn the relative importance of different embedding regions of each feature. Furthermore, a flexible pruning algorithm is proposed to achieve feature filtering and dimension derivation simultaneously. Extensive experiments on two large-scale public datasets in the Click-Through-Rate (CTR) prediction task demonstrate the efficacy and superiority of i-Razor in balancing model complexity and performance., Comment: Accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE)
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- 2022
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224. Use of Lean Management Methodology to Reduce the Rate of Unfinished Nursing Care in the Emergency Observation Room: A Quality Improvement Project
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Yang, Lixia, Zhen, Cuixiang, and Yao, Yao
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- 2024
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225. FMT rescues mice from DSS-induced colitis in a STING-dependent manner
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Dan Pu, Yao Yao, Chuan Zhou, Ruixian Liu, Zhihong Wang, Yan Liu, Dandan Wang, Binbin Wang, Yaohe Wang, Zhanju Liu, Zhe Zhang, and Baisui Feng
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FMT ,IBD ,STING ,Th1 cells ,Th2 cells ,Th17 cells ,Diseases of the digestive system. Gastroenterology ,RC799-869 - Abstract
Fecal microbiota transplantation (FMT) is currently a promising therapy for inflammatory bowel disease (IBD). However, clinical studies have shown that there is an obvious individual difference in the efficacy of FMT. Therefore, it is a pressing issue to identify the factors that influence the efficacy of FMT and find ways to screen the most suitable patients for this therapy. In this work, we targeted the stimulator of interferon genes (STING), a DNA-sensing protein that regulates host-defense. By comparing the differential efficacy of FMT in mice with different expression level of STING, it is revealed that FMT therapy provides treatment for DSS-induced colitis in a STING-dependent manner. Mechanistically, FMT exerts a regulatory effect on the differentiation of intestinal Th17 cells and macrophages, splenic Th1 and Th2 cells, as well as Th1 cells of the mesenteric lymph nodes via STING, down-regulating the colonic M1/M2 and splenic Th1/Th2 cell ratios, thereby improving the imbalanced immune homeostasis in the inflamed intestine. Meanwhile, based on the 16SrDNA sequencing of mice fecal samples, STING was found to facilitate the donor strain colonization in recipients’ gut, mainly Lactobacillales, thereby reshaping the gut microbiota disturbed by colitis. Consequently, we proposed that STING, as a key target of FMT therapy, is potentially a biomarker for screening the most suitable individuals for FMT to optimize treatment regimens and enhance clinical benefit.
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- 2024
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226. Urban region representation learning with human trajectories: a multi-view approach incorporating transition, spatial, and temporal perspectives
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Yu Zhang, Weiming Huang, Yao Yao, Song Gao, Lizhen Cui, and Zhongmin Yan
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Urban region embedding ,human trajectories ,skip-gram ,graph representation learning ,land use ,Mathematical geography. Cartography ,GA1-1776 ,Environmental sciences ,GE1-350 - Abstract
Mining latent information from human trajectories for understanding our cities has been persistent endeavors in urban studies and spatial information science. Many previous studies relied on manually crafted features and followed a supervised learning pipeline for a particular task, e.g. land use classification. However, such methods often overlook some types of latent information and the commonalities between varying urban sensing tasks, making the features engineered for one specific task sometimes not useful in other tasks. To tackle the limitations, we propose a multi-view trajectory embedding (MTE) approach to learn the features of urban regions (region representations) in an unsupervised manner, which does not rely on a specific task and thus can be generalized to varying urban sensing tasks. Specifically, MTE incorporates three salient information views carried by human trajectories, i.e. transition, spatial, and temporal views. We utilize skip-gram to model human transition patterns exhibited from massive amounts of human trajectories, where long-range dependency is meaningful. Subsequently, we leverage unsupervised graph representation learning to model spatial adjacency and temporal pattern similarities, where short-range dependency is favorable. We perform extensive experiments on three downstream tasks, i.e. land use classification, population density estimation, and house price prediction. The results indicate that MTE considerably outperforms a series of competitive baselines in all three tasks, and different information views have varying levels of effectiveness in particular downstream tasks, e.g. the temporal view is more effective than the spatial view in land use classification, while it is the opposite in house price prediction.
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- 2024
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227. Modified creatinine index for predicting prognosis in hemodialysis patients: a systematic review and meta-analysis
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Tao Ye, Jingfang Du, Pian Li, Dan Rong, Wang Gu, Yao Yao, and Na Shen
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Modified creatinine index ,hemodialysis ,prognosis ,meta-analysis ,Diseases of the genitourinary system. Urology ,RC870-923 - Abstract
Background Currently, several studies have explored the association between the modified creatinine index (mCI) and prognosis in patients on hemodialysis (HD). However, some of their results are contradictory. Therefore, this study was conducted to comprehensively assess the role of mCI in predicting prognosis in HD patients through meta-analysis.Methods We searched and screened literature from PubMed, Embase, Web of Science, and Cochrane databases from their establishment until March 2024. Relevant data were extracted. The statistical analysis was performed using Stata 15.0, RevMan 5.4, and Meta DiSc 1.4 software.Results The results showed a positive association between mCI and nutritional status in HD patients (BMI r = 0.19, 95% CI: 0.1–0.28, p = .000; albumin r = 0.36, 95% CI: 0.33–0.39, p = .000; normalized protein catabolic rate (nPCR) r = 0.25, 95% CI: 0.13–0.38, p = .000). In addition, mCI in deceased HD patients was significantly lower than that in HD survivors (SMD = −0.94, 95% CI: −1.46 to −0.42, p = .000). A low mCI was associated with an increased risk of all-cause death in HD patients (HR = 1.95, 95% CI: 1.57–2.42, p = .000). In addition, a low mCI was significantly associated with decreased overall survival (OS) in HD patients (HR = 3.01, 95% CI: 2.44–3.70, p = .000). mCI showed moderate diagnostic accuracy for sarcopenia in both male and female HD patients (male AUC = 0.7891; female AUC = 0.759).Conclusions The mCI can be used as a prognostic marker for HD patients, and monitoring mCI may help to optimize the management of HD and improve overall prognosis in patients.
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- 2024
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228. Discovery of novel and potent CDK8 inhibitors for the treatment of acute myeloid leukaemia
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Zhuoying Chen, Quan Wang, Yao Yao Yan, Dalong Jin, Yumeng Wang, Xing Xing Zhang, and Xin Hua Liu
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CDK8 inhibitor ,STAT-1 ,STAT-5 ,AML ,Therapeutics. Pharmacology ,RM1-950 - Abstract
AbstractIt has been reported that CDK8 plays a key role in acute myeloid leukaemia. Here, a total of 40 compounds were rational designed and synthesised based on the previous SAR. Among them, compound 12 (3-(3-(furan-3-yl)-1H-pyrrolo[2,3-b]pyridin-5-yl)benzamide) showed the most potent inhibiting activity against CDK8 with an IC50 value of 39.2 ± 6.3 nM and anti AML cell proliferation activity (molm-13 GC50 = 0.02 ± 0.01 μM, MV4-11 GC50 = 0.03 ± 0.01 μM). Mechanistic studies revealed that this compound 12 could inhibit the phosphorylation of STAT-1 and STAT-5. Importantly, compound 12 showed relative good bioavailability (F = 38.80%) and low toxicity in vivo. This study has great significance for the discovery of more efficient CDK8 inhibitors and the development of drugs for treating AML in the future.
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- 2024
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229. Predicting the locations of missing persons in China by using NGO data and deep learning techniques
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Anning Dong, Yatao Zhang, Zijin Guo, Peng Luo, Yao Yao, Jialyu He, Qia Zhu, Ying Jiang, Kailu Xiong, and Qingfeng Guan
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Missing persons ,location prediction ,oral information ,natural language processing ,quantitative vocabulary analysis ,Mathematical geography. Cartography ,GA1-1776 - Abstract
ABSTRACTMissing person crimes can seriously affect the well-being of Chinese families, and missing person destination prediction can help to solve this problem. Using nongovernmental organization (NGO) data to predict the locations of missing persons by random forest (RF) model has made progress. However, studies using these data have ignored the mass of oral information. Recent studies have demonstrated the effectiveness of oral information in detecting missing persons, but the impact on destination prediction remains unexplored. Therefore, this study proposes a missing person prediction (MP-Net) framework to incorporate oral information into missing person destination prediction and quantitatively describe the effect of different word properties on the prediction. The results show that compared to the baseline RF model, the proposed framework achieves a higher recall rate (87.18%) in the location prediction of missing persons. According to a quantitative word analysis, verbs and nouns in oral information significantly contributed to location prediction. After adjectives that might cause adverse effects were removed, the stability of the model was improved considerably. Overall, the findings of the proposed model and quantitative word analysis can help police or NGOs collect descriptive information in a targeted manner and make more accurate predictions about the whereabouts of missing persons.
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- 2024
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230. JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling.
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Jingyang Zhang, Shiwei Li, Yuanxun Lu, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan, and Yao Yao 0008
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- 2024
231. Consistent4D: Consistent 360° Dynamic Object Generation from Monocular Video.
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Yanqin Jiang, Li Zhang 0040, Jin Gao, Weiming Hu, and Yao Yao 0008
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- 2024
232. Failure mechanism and theoretical model of high-temperature tensile creep of sintered nano-silver
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Gong, He, Zheng, Yaoting, Liu, Binquan, Deng, Zichen, and Yao, Yao
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- 2024
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233. Cardiac risk assessment with the revised cardiac risk index index before elective non-cardiac surgery: A retrospective audit from an Australian tertiary hospital
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Yao, Yao, Dharmalingam, Ashok, Tang, Cyril, Bell, Harrison, McKeown, Andrew DJ, McGee, Michael, Davies, Allan, Tay, Tracey, and Collins, Nicholas
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- 2021
234. Formulaic Competence in College-Level Asian English Learner's Argumentative Writing: Examining the Effects of Language Background and Topic
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Li, Hang and Yao, Yao
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The present study examined the effect of language background and topic on productive formulaic competence. Guided by usage-based theory of language learning, this study used a distribution-based approach to the examination of the native-likeness of formulaic usage in English timed argumentative writing. Six indices informed by a large-scale native corpus were chosen to gauge the frequency and association strength of bigrams and trigrams in a total of 778 English timed independent argumentative essays on two topics by 100 native speaker writers, 210 English as a foreign language (EFL) writers and 79 English as a second language (ESL) writers in Asia. Results of a series of linear mixed-effects regression analyses showed that, while EFL writers scored lower on most of the indices than both NS writers and ESL writers, ESL writers did not differ much from NS writers in their use of n-grams across topics. Meanwhile, the topic that was deemed more cognitively demanding and of a stronger technical nature elicited more native-like performance in bigram and trigram use across all three language groups. Findings of the study highlight the important effect of input on the development of formulaic competence in a second language, offer empirical support to the use of cognitively complex topics in second language writing practice, and carry important implications for L2 writing pedagogy.
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- 2023
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235. Self-aligned formation of superconducting sub-5 nm PtSi films
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Yao Yao, Daniel F. Fernandes, Tereza Košutová, Tomas Kubart, Zhen Zhang, François Lefloch, Frédéric Gustavo, Axel Leblanc, János L. Lábár, Béla Pécz, and Shi-Li Zhang
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Atomic physics. Constitution and properties of matter ,QC170-197 - Abstract
Platinum silicide (PtSi) presents a promising superconductor for achieving silicon-based Josephson field-effect transistors (JoFETs). In a viable process flow to realize self-aligned PtSi formation, thermal oxidation at 600 °C is required to form a protective oxide layer on the surface of the as-formed PtSi selectively against Pt to facilitate subsequent selective etch in aqua regia. However, sub-10 nm PtSi films tend to agglomerate and even break into discrete PtSi islands upon thermal treatments above 500 °C. To achieve nanoscale JoFETs, we have developed a simple alternative with chemical oxidation at room temperature leading to the formation of homogeneous sub-5 nm PtSi films. The critical temperature of the resultant superconducting PtSi films is found to increase from 0.66 to 0.90 K when the PtSi thickness is raised from 3.1 to 12.7 nm, while, concurrently, the PtSi grains grow larger in thicker films. The critical temperature also increases from 0.53 to 0.66 K for the 3.1 nm PtSi film when the formation temperature is raised from 400 to 500 °C.
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- 2024
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236. Mechanism of Brevibacillus brevis strain TR-4 against leaf disease of Photinia×fraseri Dress
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Chenxinyu Ji, Yun-Fei Li, Yao Yao, Zengrui Zhu, and Shengfeng Mao
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Colletotrichum ,Brevibacillus ,Biological control ,Medicine ,Biology (General) ,QH301-705.5 - Abstract
Background Colletotrichum species are among the most common pathogens in agriculture and forestry, and their control is urgently needed. Methods In this study, a total of 68 strains of biocontrol bacteria were isolated and identified from Photinia × fraseri rhizosphere soil. Results The isolates were identified as Brevibacillus brevis by 16S rRNA. The inhibitory effect of TR-4 on Colletotrichum was confirmed by an in vitro antagonistic experiment. The inhibitory effect of TR-4 was 98% at a concentration of 10 µl/ml bacterial solution, protection of the plant and inhibition of C. siamense was evident. Moreover, the secretion of cellulase and chitosan enzymes in the TR-4 fermentation liquid cultured for three days was 9.07 mol/L and 2.15 µl/mol, respectively. Scanning electron microscopy and transmission electron microscopy confirmed that TR-4 destroyed the cell wall of C. siamense, resulting in leakage of the cell contents, thus weakening the pathogenicity of the bacteria.
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- 2024
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237. The discovery of a novel pyrrolo[2,3-b]pyridine as a selective CDK8 inhibitor offers a new approach against psoriasis
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Yao Yao Yan, Yu Meng Wang, Jun Hao Shen, Yu Jie Jian, Cen Cen Lei, Quan Wang, Chao Liu, Xing Xing Zhang, and Xin Hua Liu
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Design ,CDK8 inhibitor ,Pyrrolo-pyridine ,Psoriasis activity ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Currently, the drugs used in clinical to treat psoriasis mainly broadly suppress cellular immunity. However, these drugs can only provide temporary and partial symptom relief, they do not cure the condition and may lead to recurrence or even serious toxic side effects. In this study, we describe the discovery of a novel potent CDK8 inhibitor as a treatment for psoriasis. Through structure-based design, compound 46 was identified as the most promising candidate, exhibiting a strong inhibitory effect on CDK8 (IC50 value of 57 nM) along with favourable inhibition against NF-κB. Additionally, it demonstrated a positive effect in an in vitro psoriasis model induced by TNF-α. Furthermore, this compound enhanced the thermal stability of CDK8 and exerted evident effects on the biological function of CDK8, and it had favourable selectivity across the CDK family and tyrosine kinase. This compound showed no obvious inhibitory effect on CYP450 enzyme. Further studies confirmed that compound 46 exhibited therapeutic effect on IMQ-induced psoriasis, alleviated the inflammatory response in mice, and enhanced the expression of Foxp3 and IL-10 in the dorsal skin in vivo. This discovery provides a new strategy for developing selective CDK8 inhibitors with anti-inflammatory activity for the treatment of psoriasis.
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- 2024
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238. Effects of land use patterns on soil properties and nitrous oxide flux on a semi-arid environmental conditions of Loess Plateau China
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Jianyu Yuan, Yao Yao, Yuqi Guan, Mahran Sadiq, Jie Li, Shuainan Liu, Yanhua Lu, Guorong Xu, Mengyin Du, Guang Li, and Lijuan Yan
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Nutrients ,N2O emissions ,Global climate change ,Land use patterns ,Vegetation restoration ,Ecology ,QH540-549.5 - Abstract
Ecosystems and agroecosystems strongly influences the global warming by nitrogen oxide (N2O) emission. In a recent climate change scenario, nitrogen and carbon sequestration is obligatory under different land-use patterns. However, soil nitrogen elements and carbon content in the recover process of degraded environmental conditions on the Dingxi Loess Plateau has not been clearly understood. Thus, in this current study, we selected four representative land use patterns, including picea asperata (PA), which is based on forest land; Medicago sativa (MS), which is based on grassland; abandoned bare land (AL), which is based on abandoned land; and wheat field (WF), which is based on farmland, to study soil quality indicators and N2O greenhouse gas and relationships amongst environmental factors and N2O flux. Our results depicted that PA and MS significantly increased organic carbon (SOC), total phosphorous (TP), gravimetric water content (SWC), soil bulk density (BD), total nitrogen (TN), ammonium nitrogen (NH4+-N), and microbial biomass nitrogen (MBN) whist decreased soil nitrate nitrogen (NO3--N) content and soil pH value over AL land-use pattern. However, WF land-use pattern showed reduced trend of above mention studied parameters than AL. Additionally, compared to AL, PA and MS significantly reduced the total soil N2O emissions, with reductions of 24.91% and 14.77% in 2021 and 29.08% and 17.53% in 2022, respectively. The WF significantly increased the total N2O emissions, increasing by 53.18% and 40.37% in 2021 and 2022, respectively. Moreover, environmental variables for instance aerial temperature, precipitation had significant correlation with soil N2O based on linear regression analysis, soil NO3--N and soil temperature had significant positive correlation with soil N2O flux while NH4+-N, BD, and SWC were negatively correlated with N2O flux. The Partial Least Squares Path Model (PLS-PM) indicates that soil temperature and soil moisture was the dominant factor for controlling soil N2O emissions followed by soil nutrients and land use patterns. Accordingly, in the context of vegetation restoration process of the study area, the proportion of forest land and grassland should be increase to cope with future climate change scenario. This research result can provide theoretical basis and technical support for scientific understanding and evaluation of soil N2O emission mechanisms and nitrogen sink functions under different land-use patterns in semi-arid region of China.
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- 2024
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239. Effects of different temperatures on the physicochemical characteristics, microstructure and protein structure of preserved egg yolk
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Xianlong Luo, Ji'en Tan, Yao Yao, Na Wu, Shuping Chen, Lilan Xu, Yan Zhao, and Yonggang Tu
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Preserved egg yolk ,Low-temperature pickling ,Gelation ,Nutrition. Foods and food supply ,TX341-641 ,Food processing and manufacture ,TP368-456 - Abstract
To clarify the mechanism of lower temperatures promoted the solidification of preserved egg yolk, the effects of temperature (4 °C, 10 °C and 25 °C) on the physicochemical properties, microstructure and protein structure of preserved egg yolk were studied. Results showed that the exterior egg yolk (EEY) exhibited higher pH, hardness and free sulfhydryl content at low-temperature pickling. The microstructure showed that the EEY gradually formed a denser gel network structure at lower temperatures. Electrophoresis results and Fourier transform infrared spectroscopy (FTIR) indicated that there were different degrees of protein degradation and cross-linking of proteins in the IEY (the interior egg yolk) and EEY and the decrease of β-sheets in the secondary structure was accompanied by an increase of β-turns during the formation of egg yolk gels. These results indicated that egg yolk solidification was faster and denser gel structure at 4 °C and 10 °C.
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- 2024
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240. Mechanisms underlying the therapeutic effects of Semen cuscutae in treating recurrent spontaneous abortion based on network pharmacology and molecular docking
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Wenfei Zheng, Manshu Lei, Yao Yao, Jingqiong Zhan, Yiming Zhang, and Quan Zhou
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immune-inflammatory ,Semen cuscutae ,recurrent spontaneous abortion ,network pharmacology ,molecular docking ,tumor necrosis factor-alpha inhibitor ,Biology (General) ,QH301-705.5 - Abstract
Background: This paper aims to analyse the active components of Semen cuscutae (SC) by network pharmacology and screen the most stable compounds with tumour necrosis factor-alpha (TNF-α) by molecular docking to explore the mechanisms of SC treatment of recurrent spontaneous abortion (RSA) and provide a theoretical basis for drug development.Methods: The active compounds of SC and the potential inflammatory targets of RSA were obtained from the Traditional Chinese Medicine Systems Pharmacology database and GeneCards, respectively. The RSA-SC target gene interaction network was obtained and visualized using the STRING database and Cytoscape software. GO and KEGG pathway enrichment analyses were obtained from DAVID to further explore the RSA mechanism and therapeutic effects of SC. Interactions between TNF-α and drugs were analysed by molecular docking. Treatment of human trophoblast cells with sesamin and TNF-α was carried out to detect their proliferative and apoptotic abilities, and WB assay was carried out to detect EGFR, PTGS2, and CASP3 protein expression.Results: Ten compounds and 128 target genes were screened from SC, of which 79 overlapped with RSA target inflammatory genes, which were considered potential therapeutic targets. Network pharmacological analysis showed that sesamin, matrine, matrol, and other SC compounds had a good correlation with the inflammatory target genes of RSA. Related genes included PGR, PTGS1, PTGS2, TGFB1, and CHRNA7. Several signalling pathways are involved in the pathogenesis of RSA, such as the TNF-α signalling pathway, HIF-1 signalling pathway, oestrogen signalling pathway, proteoglycans in cancer cells, and FoxO signalling pathway. Molecular docking results suggested that sesamin was the most suitable natural tumour necrosis factor inhibitor (TNFi). Sesamin can promote proliferation and inhibit apoptosis in human trophoblasts by downregulating EGFR and CASP3 expression and upregulating PTGS2 expression.Conclusion: Our findings play an important role and basis for further research into the molecular mechanism of SC treatment of RSA and drug development of TNFi.
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- 2024
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241. Analysis of ginseng rusty root symptoms transcriptome and its pathogenesis directed by reactive oxygen species theory
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Pengcheng Yu, Xiaowen Song, Wei Zhang, Yao Yao, Junling Ren, Liyang Wang, Wenfei Liu, Zhaoping Meng, and Xiangcai Meng
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ginseng rusty root symptoms ,GSEA, Fe3+ ,ROS ,transcriptomics ,Botany ,QK1-989 - Abstract
Abstract Ginseng rusty root symptoms (GRS) is a primary disease of ginseng, which seriously decreases the yield and quality of ginseng and causes enormous losses to ginseng production. GRS prevention and control is still challenging due to its unclear etiology. In this study, the phloem tissue of healthy Panax ginseng (AG), the nonred tissue of the phloem epidermis around the lesion (BG), and the red lesion site tissue of GRS (CG) were extracted for mRNA transcriptomic analysis; 35,958 differentially expressed genes (DEGs) were identified and were associated with multiple stress resistance pathways, reactive oxygen species (ROS), and iron ion binding. Further study showed that the contents of O2•‐, H2O2, and malondialdehyde (MDA) were significantly increased in BG and CG tissues. Under anaerobic conditions caused by excessive soil moisture, the overproduction of ROS destroys cell membranes, simultaneously converting Fe2+ to Fe3+ and depositing it in the cell wall, which results in GRS, as evidenced by the success of the GRS induction test.
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- 2024
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242. Revolutionizing genetic disease treatment: The case of exagamglogene autotemcel
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Shuquan Rao, Yao Yao, Wenxuan Huo, Yang Cao, and Lihua E. Budde
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Science (General) ,Q1-390 - Published
- 2024
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243. A multimodal data fusion model for accurate and interpretable urban land use mapping with uncertainty analysis
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Xiaoqin Yan, Zhangwei Jiang, Peng Luo, Hao Wu, Anning Dong, Fengling Mao, Ziyin Wang, Hong Liu, and Yao Yao
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Urban land use mapping ,Multimodal data fusion ,Uncertainty analysis ,Feature extraction ,Deep learning ,Physical geography ,GB3-5030 ,Environmental sciences ,GE1-350 - Abstract
Urban land use patterns can be more accurately mapped by fusing multimodal data. However, many studies only consider socioeconomic and physical attributes within land parcels, neglecting spatial interaction and uncertainty caused by multimodal data. To address these issues, we constructed a multimodal data fusion model (MDFNet) to extract natural physical, socioeconomic, and spatial connectivity ancillary information from multimodal data. We also established an uncertainty analysis framework based on a generalized additive model and learnable weight module to explain data-driven uncertainty. Shenzhen was chosen as the demonstration area. The results demonstrated the effectiveness of the proposed method, with a test accuracy of 0.882 and a Kappa of 0.858. Uncertainty analysis indicated the contributions in overall task of 0.361, 0.308, and 0.232 for remote sensing, social sensing, and taxi trajectory data, respectively. The study also illuminates the collaborative mechanism of multimodal data in various land use categories, offering an accurate and interpretable method for mapping urban distribution patterns.
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- 2024
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244. Comparative efficacy of five approved Janus kinase inhibitors as monotherapy and combination therapy in patients with moderate-to-severe active rheumatoid arthritis: a systematic review and network meta-analysis of randomized controlled trials
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Wenting Cai, Rui Tong, Yue Sun, Yao Yao, and Jinping Zhang
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Janus kinase inhibitors ,conventional synthetic disease-modifying anti-rheumatic drugs ,network meta-analysis ,rheumatoid arthritis ,efficacy ,safety ,Therapeutics. Pharmacology ,RM1-950 - Abstract
BackgroundThe European League of Rheumatology(EULAR)guidelines recommend Janus kinase (JAK) inhibitors for patients with moderate to severe rheumatoid arthritis (RA) who are insensitive or under-responsive to conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs). But there was no recommendation for which one was preferred in five currently approved JAK inhibitors. The objective of this network meta-analysis study was to evaluate the efficacy of five JAK inhibitors as monotherapy and combination therapy in patients with moderate-to-severe active rheumatoid arthritis.MethodsThe randomized controlled trials (RCTs) of tofacitinib, baricitinib, upadacitinib, filgotinib and peficitinib as monotherapy or combined with csDMARD in the treatment of active RA were searched in database of PubMed, Embase, Web of Science and Cochrane Library, up to December 2023. The control group included placebo or csDMARD. Outcome indicators included American College of Rheumatology 20% response (ACR20), ACR50, ACR70 and the percentage of patients achieving 28-joint disease activity score using C-reactive protein (DAS28(CRP))
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- 2024
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245. Dose rate effects in radiation-induced changes to phenyl-based polymeric scintillators
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Papageorgakis, Christos, Al-Sheikhly, Mohamad, Belloni, Alberto, Edberg, Timothy K., Eno, Sarah C., Feng, Yongbin, Jeng, Geng-Yuan, Kahn, Abraham, Lai, Yihui, McDonnell, Tyler, Palmer, Christopher, Perez-Gokhale, Ruhi, Ricci-Tam, Francesca, Yao, Yao, and Yang, Zishuo
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Physics - Instrumentation and Detectors ,High Energy Physics - Experiment - Abstract
Results on the effects of ionizing radiation on the signal produced by plastic scintillating rods manufactured by Eljen Technology company are presented for various matrix materials, dopant concentrations, fluors (EJ-200 and EJ-260), anti-oxidant concentrations, scintillator thickness, doses, and dose rates. The light output before and after irradiation is measured using an alpha source and a photomultiplier tube, and the light transmission by a spectrophotometer. Assuming an exponential decrease in the light output with dose, the change in light output is quantified using the exponential dose constant $D$. The $D$ values are similar for primary and secondary doping concentrations of 1 and 2 times, and for antioxidant concentrations of 0, 1, and 2 times, the default manufacturer's concentration. The $D$ value depends approximately linearly on the logarithm of the dose rate for dose rates between 2.2 Gy/hr and 70 Gy/hr for all materials. For EJ-200 polyvinyltoluene-based (PVT) scintillator, the dose constant is approximately linear in the logarithm of the dose rate up to 3400 Gy/hr, while for polystyrene-based (PS) scintillator or for both materials with EJ-260 fluors, it remains constant or decreases (depending on doping concentration) above about 100 Gy/hr. The results from rods of varying thickness and from the different fluors suggest damage to the initial light output is a larger effect than color center formation for scintillator thickness $\leq1$ cm. For the blue scintillator (EJ-200), the transmission measurements indicate damage to the fluors. We also find that while PVT is more resistant to radiation damage than PS at dose rates higher than about 100 Gy/hr for EJ-200 fluors, they show similar damage at lower dose rates and for EJ-260 fluors., Comment: Replaced with published version. Added journal DOI. 24 pages, 11 figures, Published in Nuclear Instruments and Methods in Physics Research Section A
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- 2022
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246. Spatially resolved mass-metallicity relation at z~0.26 from the MUSE-Wide Survey
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Yao, Yao, Chen, Guangwen, Liu, Haiyang, Chen, Xinkai, Lin, Zesen, Zhang, Hong-Xin, Gao, Yulong, and Kong, Xu
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Astrophysics - Astrophysics of Galaxies - Abstract
Aims: There is a spatially resolved star-forming main sequence (rSFMS) and mass-metallicity relation (rMZR) of galaxies in local universe. We know that the global mass-metallicity relation (MZR) results from the integral of rMZR, and it will evolve with the redshift. However, the evolution of rMZR with redshift is still unclear due to the low spatial resolution and signal-to-noise ratio. There are currently too few observations beyond local universe, and only simulations can reproduce the evolution of rMZR with redshift. Methods: In this work, we select ten emission-line galaxies with an average redshift of $z\sim 0.26$ from MUSE-Wide DR1. We obtain the spatially resolved star formation rate (SFR) and metallicity from the integral field spectroscopy (IFS), as well as the stellar mass surface density from the 3D-HST photometry. We derive the rSFMS and rMZR at $z\sim 0.26$ and compare them with local galaxies. Results: We find the rSFMS of galaxies at $z\sim 0.26$ has a slope of $\sim$0.771. The rMZR exists at $z\sim 0.26$, showing a similar shape to the local universe but a lower average metallicity about $\sim$0.11 dex than the local one. In addition, we also study their spatially resolved fundamental metallicity relation (rFMR). However, there is no obvious evidence that rFMR exists at $z\sim$0.26 and it is not an extension of rMZR at a high SFR. Conclusions: Similar to their global versions, the rSFMS and rMZR of galaxies also evolve with redshift. Given the fixed stellar mass, galaxies at higher redshift show higher SFR and lower metallicity. These suggest that the evolution of the global galaxy properties with redshift may result from integrating the evolution of spatially resolved properties of galaxies., Comment: 9 pages, 8 figures, accepted for publication in A&A
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- 2022
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247. NeILF: Neural Incident Light Field for Physically-based Material Estimation
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Yao, Yao, Zhang, Jingyang, Liu, Jingbo, Qu, Yihang, Fang, Tian, McKinnon, David, Tsin, Yanghai, and Quan, Long
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Computer Science - Computer Vision and Pattern Recognition - Abstract
We present a differentiable rendering framework for material and lighting estimation from multi-view images and a reconstructed geometry. In the framework, we represent scene lightings as the Neural Incident Light Field (NeILF) and material properties as the surface BRDF modelled by multi-layer perceptrons. Compared with recent approaches that approximate scene lightings as the 2D environment map, NeILF is a fully 5D light field that is capable of modelling illuminations of any static scenes. In addition, occlusions and indirect lights can be handled naturally by the NeILF representation without requiring multiple bounces of ray tracing, making it possible to estimate material properties even for scenes with complex lightings and geometries. We also propose a smoothness regularization and a Lambertian assumption to reduce the material-lighting ambiguity during the optimization. Our method strictly follows the physically-based rendering equation, and jointly optimizes material and lighting through the differentiable rendering process. We have intensively evaluated the proposed method on our in-house synthetic dataset, the DTU MVS dataset, and real-world BlendedMVS scenes. Our method is able to outperform previous methods by a significant margin in terms of novel view rendering quality, setting a new state-of-the-art for image-based material and lighting estimation.
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- 2022
248. Large-scale Optimization of Partial AUC in a Range of False Positive Rates
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Yao, Yao, Lin, Qihang, and Yang, Tianbao
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Computer Science - Machine Learning ,Mathematics - Optimization and Control ,Statistics - Machine Learning - Abstract
The area under the ROC curve (AUC) is one of the most widely used performance measures for classification models in machine learning. However, it summarizes the true positive rates (TPRs) over all false positive rates (FPRs) in the ROC space, which may include the FPRs with no practical relevance in some applications. The partial AUC, as a generalization of the AUC, summarizes only the TPRs over a specific range of the FPRs and is thus a more suitable performance measure in many real-world situations. Although partial AUC optimization in a range of FPRs had been studied, existing algorithms are not scalable to big data and not applicable to deep learning. To address this challenge, we cast the problem into a non-smooth difference-of-convex (DC) program for any smooth predictive functions (e.g., deep neural networks), which allowed us to develop an efficient approximated gradient descent method based on the Moreau envelope smoothing technique, inspired by recent advances in non-smooth DC optimization. To increase the efficiency of large data processing, we used an efficient stochastic block coordinate update in our algorithm. Our proposed algorithm can also be used to minimize the sum of ranked range loss, which also lacks efficient solvers. We established a complexity of $\tilde O(1/\epsilon^6)$ for finding a nearly $\epsilon$-critical solution. Finally, we numerically demonstrated the effectiveness of our proposed algorithms for both partial AUC maximization and sum of ranked range loss minimization.
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- 2022
249. CLS: Cross Labeling Supervision for Semi-Supervised Learning
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Yao, Yao, Shen, Junyi, Xu, Jin, Zhong, Bin, and Xiao, Li
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Computer Science - Computer Vision and Pattern Recognition - Abstract
It is well known that the success of deep neural networks is greatly attributed to large-scale labeled datasets. However, it can be extremely time-consuming and laborious to collect sufficient high-quality labeled data in most practical applications. Semi-supervised learning (SSL) provides an effective solution to reduce the cost of labeling by simultaneously leveraging both labeled and unlabeled data. In this work, we present Cross Labeling Supervision (CLS), a framework that generalizes the typical pseudo-labeling process. Based on FixMatch, where a pseudo label is generated from a weakly-augmented sample to teach the prediction on a strong augmentation of the same input sample, CLS allows the creation of both pseudo and complementary labels to support both positive and negative learning. To mitigate the confirmation bias of self-labeling and boost the tolerance to false labels, two different initialized networks with the same structure are trained simultaneously. Each network utilizes high-confidence labels from the other network as additional supervision signals. During the label generation phase, adaptive sample weights are assigned to artificial labels according to their prediction confidence. The sample weight plays two roles: quantify the generated labels' quality and reduce the disruption of inaccurate labels on network training. Experimental results on the semi-supervised classification task show that our framework outperforms existing approaches by large margins on the CIFAR-10 and CIFAR-100 datasets.
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- 2022
250. RunnerDNA: Interpretable indicators and model to characterize human activity pattern and individual difference
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Yao, Yao, Wang, Zhuolun, Luo, Peng, Yin, Hanyu, Liu, Ziqi, Zhang, Jiaqi, Guo, Nengjing, and Guan, Qingfeng
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Computer Science - Computers and Society - Abstract
Human activity analysis based on sensor data plays a significant role in behavior sensing, human-machine interaction, health care, and so on. The current research focused on recognizing human activity and posture at the activity pattern level, neglecting the effective fusion of multi-sensor data and assessing different movement styles at the individual level, thus introducing the challenge to distinguish individuals in the same movement. In this study, the concept of RunnerDNA, consisting of five interpretable indicators, balance, stride, steering, stability, and amplitude, was proposed to describe human activity at the individual level. We collected smartphone multi-sensor data from 33 volunteers who engaged in physical activities such as walking, running, and bicycling and calculated the data into five indicators of RunnerDNA. The indicators were then used to build random forest models and recognize movement activities and the identity of users. The results show that the proposed model has high accuracy in identifying activities (accuracy of 0.679) and is also effective in predicting the identity of running users. Furthermore, the accuracy of the human activity recognition model has significant improved by combing RunnerDNA and two motion feature indicators, velocity, and acceleration. Results demonstrate that RunnerDNA is an effective way to describe an individual's physical activity and helps us understand individual differences in sports style, and the significant differences in balance and amplitude between men and women were found., Comment: 28 pages, 6 tables, 1 figures
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- 2022
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