49,097 results on '"Huang Yu"'
Search Results
2. Progress on sleep disorders in anti-N-methyl-D-aspartate receptor encephalitis
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HUANG Yu, LIAO Jin-chi, and SHU Ya-qing
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anti-n-methyl-d-aspartate receptor encephalitis ,sleep disorders ,review ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Sleep disorders in patients with anti - N - methyl - D - aspartate receptor (NMDAR) encephalitis present in a variety of forms, are easily misdiagnosed, have complex mechanisms, and require early recognition and treatment. This article reviews the clinical manifestations, electrophysiological characteristics, pathogenesis, diagnosis and treatment principles of sleep disorders in anti - NMDAR encephalitis, in order to provide some help for clinicians to identify and treat sleep disorders in anti - NMDAR encephalitis.
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- 2024
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3. Strigolactones shape the assembly of root-associated microbiota in response to phosphorus availability
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Pubo Chen, Pingliang Huang, Haiyang Yu, Huang Yu, Weicheng Xie, Yuehua Wang, Yu Zhou, Li Chen, Meng Zhang, and Ruifeng Yao
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strigolactones ,phosphorus ,Arabidopsis thaliana ,microbial community ,keystone taxa ,Microbiology ,QR1-502 - Abstract
ABSTRACT Plants rely on strigolactones (SLs) to regulate their development and form symbiotic relationships with microbes as part of the adaptive phosphorus (P) efficiency strategies. However, the impact of SLs on root-associated microbial communities in response to P availability remains unknown. Here, root microbiota of SL biosynthesis (max3-11) and perception (d14-1) were compared to wild-type Col-0 plants under different P concentrations. Using high-throughput sequencing, the relationship between SLs, P concentrations, and the root-associated microbiota was investigated to reveal the variation in microbial diversity, composition, and interaction. Plant genotypes and P availability played important but different roles in shaping the root-associated microbial community. Importantly, SLs were found to attract Acinetobacter in low P conditions, which included an isolated CP-2 (Acinetobacter soli) that could promote plant growth in cocultivation experiments. Moreover, SLs could change the topologic structure within co-occurrence networks and increase the number of keystone taxa (e.g., Rhizobiaceae and Acidobacteriaceae) to enhance microbial community stability. This study reveals the key role of SLs in mediating root-associated microbiota interactions.IMPORTANCEStrigolactones (SLs) play a crucial role in plant development and their symbiotic relationships with microbes, particularly in adapting to phosphorus levels. Using high-throughput sequencing, we compared the root microbiota of plants with SL biosynthesis and perception mutants to wild-type plants under different phosphorus concentrations. These results found that SLs can attract beneficial microbes in low phosphorus conditions to enhance plant growth. Additionally, SLs affect microbial network structures, increasing the stability of microbial communities. This study highlights the key role of SLs in shaping root-associated microbial interactions, especially in response to phosphorus availability.
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- 2024
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4. Environmental selection and evolutionary process jointly shape genomic and functional profiles of mangrove rhizosphere microbiomes
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Xiaoli Yu, Qichao Tu, Jihua Liu, Yisheng Peng, Cheng Wang, Fanshu Xiao, Yingli Lian, Xueqin Yang, Ruiwen Hu, Huang Yu, Lu Qian, Daoming Wu, Ziying He, Longfei Shu, Qiang He, Yun Tian, Faming Wang, Shanquan Wang, Bo Wu, Zhijian Huang, Jianguo He, Qingyun Yan, and Zhili He
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average genome size ,functional potential ,mangrove rhizosphere ,metagenome ,metagenome‐assembled genome ,Microbiology ,QR1-502 - Abstract
Abstract Mangrove reforestation with introduced species has been an important strategy to restore mangrove ecosystem functioning. However, how such activities affect microbially driven methane (CH4), nitrogen (N), and sulfur (S) cycling of rhizosphere microbiomes remains unclear. To understand the effect of environmental selection and the evolutionary process on microbially driven biogeochemical cycles in native and introduced mangrove rhizospheres, we analyzed key genomic and functional profiles of rhizosphere microbiomes from native and introduced mangrove species by metagenome sequencing technologies. Compared with the native mangrove (Kandelia obovata, KO), the introduced mangrove (Sonneratia apetala, SA) rhizosphere microbiome had significantly (p
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- 2023
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5. online quantitative analysis, online process mass spectrometer, quadrupole mass spectrometer
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LIU Cui-mei, HUA Zhen-dong, HUANG Yu, HU Wen, ZHAO Xia, and JIA Wei
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gas chromatography-orbitrap mass spectrometry (gc-orbitrap-ms) ,ultra high performance liquid chromatography-quadrupole time of flight?mass spectrometry (uplc-qtof-ms) ,new psychoactive substances (nps) ,ketamine ,ketamine analogues ,fragmentation pathway ,Chemistry ,QD1-999 - Abstract
As of October 2022, the United Nations Office on Drugs and Crime (UNODC) Early Warning Advisory (EWA) has monitored over 1 150 new psychoactive substances (NPS) that had appeared in 137 countries and territories, including 76 substances that were notified for the first time in 2022. The increasing popularity of NPS has become a policy challenge and a major international concern, and poses potential risks for public health. Ketamine and ketamine analogues belong to β-keto-arylcyclohexylamines, which are classified into dissociative NPS due to their “dissociative anesthetic” effect. According to the monitoring data of the National Narcotics Laboratory, as of August 2022, ten ketamine structural analogues have been detected in China, including 2-(2-chlorophenyl)-2-(ethylamino) cyclohexan-1-one (NENK), 2-(3-methoxyphenyl)-2-(ethylamino) cyclohexan-1-one (MXE), 2-phenyl-2-(methylamino) cyclohexan-1-one (DCK), and 2-(2-fluorophenyl)-2-(methylamino)cyclohexan-1-one (2-FDCK), 2-(ethylamino)-2-phenylcyclohexan-1-one (2-oxo-PCE), 2-(methylamino)-2-(2-methylphenyl)cyclohexan-1-one (2-MDCK), 2-(ethylamino)-2-(2-fluorophenyl)cyclohexan-1-one (2-FXE), 2-(2-bromophenyl)-2-(methylamino)cyclohexan-1-one (2-BDCK), and 2-(ethylamino)-2-(thiophen-2-yl)cyclohexan-1-one (tiletamine), and 2-(ethylamino)-2-(2-methylphenyl)cyclohexan-1-one (deoxymethoxetamine). According to the structures, these compounds can be seen as structural analogues of ketamine with benzene ring replaced by fluorine, bromine, methyl and methoxy groups, or with methyl group on the nitrogen atom replaced by ethyl group, or with benzene ring replaced by furan group. NENK, MXE, DCK and 2-FDCK have already been included in the annexes of the law in China, while 2-oxo-PCE, 2-MDCK, 2-FXE, 2-BDCK, and tiletamine have not been listed in the regulation. In order to evade the supervision of the law, new types of ketamine analogues have been continuously produced and offered for sale on the NPS market. These emerging new compounds have posed a great challenge to the testing and identification ability of forensic science laboratories around the world. The knowledge of MS fragmentation pathway characteristics of known structure NPS is essential for the structure elucidation of new types of NPS. In order to investigate the mass fragmentation characteristics of ketamine analogues, NENK, MXE, DCK, 2-FDCK, 2-oxo-PCE, 2-MDCK, 2-FXE, 2-BDCK, and tiletamine were analyzed using gas chromatography-Orbitrap mass spectrometry (GC-Orbitrap-MS) and ultra-high performance liquid chromatography-quadrupole time of flight-mass spectrometry (UPLC-QTOF-MS). High-resolution mass spectra were obtained by electron impact (EI) and electrospray ionization collision-induced dissociation (ESI-CID), the structures and fragmentation pathways of main ions were deduced. The product ions of ketamine analogues were mainly formed by the loss of CO, C2H5·, C3H7·, C4H9·, C5H11·/C6H13· in EI mode, and were mainly formed by the loss of H2O, CH3NH2/C2H5NH2, CO, C4H6, C2H4O in ESI-CID mode. The ketamine analogues distinguishing features were summarized by investigating the high-resolution mass spectrometric characteristics, which can provide a reference for the identification of new ketamine analogues with similar chemical structures.
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- 2023
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6. Oral microbiome: a doubtful predictor but potential target of cardiovascular diseases
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Cheng Chak Kwong and Huang Yu
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cardiovascular diseases ,dysbiosis ,immune response ,inflammation ,oral microbiome ,periodontitis ,Medicine - Abstract
Our oral cavity houses various types of microbes including bacteria, protozoa, fungi and viruses, harboring over 700 bacterial species. Oral dysbiosis refers to the imbalance between symbionts and pathobionts in the oral cavity, posing potential threats to host cardiovascular health. Importantly, oral dysbiosis promotes cardiovascular pathophysiology through different mechanisms. Although overgrowth of certain pathogenic bacteria have been indicated in some cardiometabolic diseases, it is still premature to consider oral microbiome as a suitable predictor for non-invasive diagnostic purpose. However, targeting oral microbiome might still provide preventive and therapeutic insights on cardiovascular diseases. Further extensive efforts are needed to deepen our understanding on oral-cardiovascular connection in the context of diagnostic and therapeutic perspectives.
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- 2023
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7. Optimal Strategies of the Online-to-Offline Instant Delivery Service of Grocery Retailers
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Wan Qin, Peng Yuhan, Yu Cuiting, Huang Yu, and Liu Danping
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History of scholarship and learning. The humanities ,AZ20-999 ,Social Sciences - Abstract
The advantages of an O2O instant delivery service over the traditional retail model for grocery retailers in the local market lie in the ability to increase sales by expanding consumer channels. This study aims to explore how merchants can optimize their pricing and delivery service decisions, including order delivery fees, range, and starting price, to maximize profit with the adoption of instant delivery services. Using the Stackelberg game model, the research examines the retailers’ optimal decision-making within the classical Hotelling linear city model while considering a more realistic cost differentiation between online and offline services. The analysis incorporates variations in the number of consumer purchases and geographic locations. The study finds that increasing product prices while maintaining zero delivery fees consistently outperforms charging delivery fees while keeping prices constant in terms of their impact on retailers. Additionally, rarely-discussed aspects like starting delivery price and delivery range are also considered. Comparing parameter variations between the traditional retail model and the O2O instant delivery model leads to three primary conclusions. Firstly, the cost disparity between online and offline services significantly affects the optimal price and profit for the retailer. Secondly, when the cost of online service is slightly higher, setting a starting delivery price can enhance retailers’ profits compared to not having a starting price. Finally, the study outlines three strategies for implementing the O2O instant delivery model and suggests that defining a reasonable delivery range can help merchants reduce costs, improve delivery efficiency, and ultimately increase profits.
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- 2023
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8. Ecological interactions and the underlying mechanism of anammox and denitrification across the anammox enrichment with eutrophic lake sediments
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Dandan Zhang, Huang Yu, Yuchun Yang, Fei Liu, Mingyue Li, Jie Huang, Yuhe Yu, Cheng Wang, Feng Jiang, Zhili He, and Qingyun Yan
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Anammox enrichment ,Denitrification ,Microbial interactions ,Lake ,Metagenome sequencing ,Microbial ecology ,QR100-130 - Abstract
Abstract Background Increasing attention has recently been devoted to the anaerobic ammonium oxidation (anammox) in eutrophic lakes due to its potential key functions in nitrogen (N) removal for eutrophication control. However, successful enrichment of anammox bacteria from lake sediments is still challenging, partly due to the ecological interactions between anammox and denitrifying bacteria across such enrichment with lake sediments remain unclear. Results This study thus designed to fill such knowledge gaps using bioreactors to enrich anammox bacteria with eutrophic lake sediments for more than 365 days. We continuously monitored the influent and effluent water, measured the anammox and denitrification efficiencies, quantified the anammox and denitrifying bacteria, as well as the related N cycling genes. We found that the maximum removal efficiencies of NH4 + and NO2 − reached up to 85.92% and 95.34%, respectively. Accordingly, the diversity of anammox and denitrifying bacteria decreased significantly across the enrichment, and the relative dominant anammox (e.g., Candidatus Jettenia) and denitrifying bacteria (e.g., Thauera, Afipia) shifted considerably. The ecological cooperation between anammox and denitrifying bacteria tended to increase the microbial community stability, indicating a potential coupling between anammox and denitrifying bacteria. Moreover, the nirS-type denitrifiers showed stronger coupling with anammox bacteria than that of nirK-type denitrifiers during the enrichment. Functional potentials as depicted by metagenome sequencing confirmed the ecological interactions between anammox and denitrification. Metagenome-assembled genomes-based ecological model indicated that the most dominant denitrifiers could provide various materials such as amino acid, cofactors, and vitamin for anammox bacteria. Cross-feeding in anammox and denitrifying bacteria highlights the importance of microbial interactions for increasing the anammox N removal in eutrophic lakes. Conclusions This study greatly expands our understanding of cooperation mechanisms among anammox and denitrifying bacteria during the anammox enrichment with eutrophic lake sediments, which sheds new insights into N removal for controlling lake eutrophication. Video Abstract
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- 2023
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9. Crystal structure of (3R,3aS,6R,6aR)-6-hexyl-3-methyltetrahydrofuro[3,4-b]furan-2,4-dione, C13H20O4
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Huang Yu-Xi, Chen Zan-Hong, Liao Yu-Ting, Li Jia-Yi, Huang Mei-Ying, Ding Bo, Huang Hong-Bo, and Tao Yi-Wen
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2254006 ,Physics ,QC1-999 ,Crystallography ,QD901-999 - Abstract
C13H20O4, monoclinic, P21 (no. 4), a = 9.7071(4) Å, b = 7.9026(4) Å, c = 17.3139(7) Å, β = 101.617(4)°, V = 1300.97(10) Å3, Z = 4, Rgt(F) = 0.0428, wRref (F 2) = 0.1145, T = 170 K.
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- 2023
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10. Inhibition of pyroptosis and apoptosis by capsaicin protects against LPS-induced acute kidney injury through TRPV1/UCP2 axis in vitro
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Han Jinrun, Wu Jinhao, Liu Hong, Huang Yu, Ju Wen, Xing Yifei, Zhang Xiaoping, and Yang Jun
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acute kidney injury ,capsaicin ,trpv1 ,ucp2 ,pyroptosis ,apoptosis ,Biology (General) ,QH301-705.5 - Published
- 2023
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11. Effects of air-frying and microwave treatment on the quality of pumpkin seed kernels
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ZHANG Gui-hui, OUYANG Hui, HUANG Yu, YU Xiong-wei, and LI Shu-gang
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pumpkin seed kernels ,air-frying ,microwave treatment ,lipid ,protein ,volatile substances ,Food processing and manufacture ,TP368-456 - Abstract
Objective: This study aimed to explore the effect of processing methods on the quality of pumpkin seed kernels. Methods: In this study, pumpkin seed kernels were chosen as the research object and the effects of air-frying (160 ℃, 0~7 min) and microwave treatment (700 W, 0~7 min) on the physical and chemical properties of proteins were investigated. Results: The experimental results showed that: after air-frying and microwave treatment, polyphenol, flavone, polysaccharide contents, as well as sensory scores all increased at the beginning, then decreased gradually, and reached the peak values when being treated by air-frying for 4 min and microwave treatment for 5 min, respectively. Under the optimal conditions, the degree of lipid oxidation was lower after microwave treatment, the protein aggregation phenomenon was more obvious, and the structure tended to be disordered and stretched, with a higher degree of lipid oxidation and better digestibility, while air-fried nuts had a stronger roasted flavor. Conclusion: The results indicated that proper air-frying and microwave treatment could improve the flavor and digestive properties of pumpkin seed kernels, and then improve the quality of pumpkin seed kernels.
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- 2023
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12. Structure Analysis of the Interfering Substance N-methyl-2-phenylpropan-1-amine of Methamphetamine in Wastewater
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ZHANG Ting-ting, HUANG Yu, ZHANG Xue-jun, CHEN Jie, and HUA Zhen-dong
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forensic medicine ,toxicological analysis ,methamphetamine ,wastewater analysis ,mass spectrometry ,interfering substance ,n-methyl-2-phenylpropan-1-amine (phenpromethamine) ,Medicine - Abstract
ObjectiveTo analyze the chemical structure of the interfering substance that affects the result of methamphetamine analysis in wastewater.MethodsA combination of GC-MS and liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) was used to analyze the mass spectrum characteristics of the interfering substance that affects the result of methamphetamine analysis and to infer its possible structure. Liquid chromatography-triple quadrupole-mass spectrometry (LC-TQ-MS) was used to confirm the control material.ResultsUsing LC-QTOF-MS in positive electrospray ionization (ESI+) mode, the mass-to-charge ratio (m/z) of quasi-molecular ion in the MS1 mass spectrometry of interfering substance was identical to that of methamphetamine, indicating that the interfering substance was probably an isomer of methamphetamine. The MS2 mass spectra obtained at three collision energies of 15 V, 30 V and 45 V were highly similar to methamphetamine, suggesting that the interfering substance contained methylamino and benzyl groups. Further analysis using GC-MS in electron impact (EI) ionization mode showed that the base peak in the mass spectrum of the interfering substance was at m/z 44. The interfering substance was confirmed to be N-methyl-2-phenylpropan-1-amine by compared with the standard reference.ConclusionThe chemical structure of N-methyl-2-phenylpropan-1-amine is highly similar to methamphetamine, which is easy to cause interference for the detection of trace amounts of methamphetamine in wastewater using LC-TQ-MS. Therefore, in the actual analysis, the chromatographic retention time can be used to distinguish between N-methyl-2-phenylpropan-1-amine and methamphetamine.
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- 2022
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13. Optimal fertilizer rates towards the improvement of nitrogen use efficiency and reduction of nitrogen export in paddy rice-wheat intensive farming
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Nebiyou Legesse, Wu Sheng, Wang Yao, Gan Manqin, Liu Peishi, Huang Yu, Xu Hongjun, Hu HongXiang, and Ma Youhua
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optimum fertilizer treatment ,reduced fertilization ,NUE ,nitrogen loading ,intensive farming ,Environmental sciences ,GE1-350 - Abstract
Introduction: Fertilizer application above plant nitrogen (N) requirements, leading to N use inefficiency, has become the primary source of N surplus, posing nonpoint pollution threats. Chao Lake has received N loadings, primarily from the agroecosystem that surrounds it. Based on 10 years of field monitoring and experiment, this study used optimum fertilizer rates (30% N reduction) to evaluate nitrogen use efficiency (NUE) and N export in the Chao Lake watershed of paddy rice-wheat rotational farming.Methods: Five treatments were tested, namely, the Blank Treatment (CK), Conventional Fertilization Treatment (CFT), High Fertilization Treatment (HFT), Reduced Fertilization Treatment (CFT), Reduced Fertilization Treatment plus Straw addition (RFTS). The parameters employed to measure NUE were 1) by calculating NUE indicators; Agronomic efficiency (kg kg-1), recovery efficiency (%), and partial factor productivity (kg kg-1) 2) using the European Union NUE framework as a comparison tool. N export was measured using N export parameters, namely, nitrogen loading (kg ha-1yr-1), nitrogen runoff loss ratio (%), and net nitrogen runoff loss ratio (%).Results and discussion: Results revealed that optimum N fertilizer input levels maintained high crop and biomass yields. The empirical model of y = y0 + a * exp (−0.5 * (x-x0)/b2) explains the relationships between input N fertilizer and corresponding yield returns. Low yield responses to increased N input beyond certain limits were observed, which may lead to N accumulations. N export was much lower from the reduced fertilization treatments than other treatments. N export increased in 10 years for both paddy rice and wheat seasons. Runoff volume influenced N export more than any other environmental factor studied.Conclusion: Overall, optimal fertilizer levels produced high NUE, maintained high economic yield, and produced lesser N exports; NUE was in the order of reduced > high > conventional fertilization treatments, while it decreased in 10 years (2008–2018) across all treatments. Such strategies that further reduce fertilizer levels by accounting for excess supplies are vital for consolidating effective N control measures.
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- 2023
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14. Lipid levels in the Jiarong Tibetan’s diet at high altitudes: a cross-sectional survey
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Tang Xiaoyue, Qiao Qichuan, Guo Jing, Sanlang Pengcuo, Huang Yu, and Li Tingxin
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lipid metabolism ,unsaturated fatty acid ,high-fat diet ,Tibetan ,altitude ,Nutrition. Foods and food supply ,TX341-641 - Abstract
Despite the ongoing debate on the inconsistent and controversial effects of Tibetan diet on blood lipid levels at high altitude, this cross-sectional study was conducted to analyze the relationship between dietary practices and blood lipid levels among Jiarong Tibetan population. A total of 476 Jiarong Tibetan residents were included, in which basic demographic data, physical activity records, simplified food frequency questionnaire, and biochemical data were collected. Using multivariate logistic regression analysis, the potential associations between the variables were examined, and it was found that fat energy supply ratio increased with the elevation of altitude, while the lipid level showed an inverted U-shaped variation. However, the findings suggested that a diet rich in unsaturated fatty acids might balance the effects of the Tibetan diet on the risk of lipid metabolism disorders. Therefore, it is crucial to concentrate on the fat composition rather than the amount of fat E% intake on the plateau. The results highlighted the importance of investigating the interaction between environment and genes in lipid levels among plateau Tibetan population. However, further large-scale prospective studies are required for better understanding of the complexities involved in dietary practices and their influences on blood lipid levels.
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- 2023
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15. Research on Low-Carbon Energy Construction Scheme for Typical Parks in the Lancang-Mekong Region
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Qin Yun, Liu Ping, Huang Yu, Dong Weitong, Zhong Xiaotao, and Wu Zhi
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Environmental sciences ,GE1-350 - Abstract
Industrial parks serve as vital spatial carriers for economic and industrial development, exerting significant impacts on energy consumption and carbon emissions across nations. In order to promote green development in the Lancang-Mekong region, this research focuses on typical industrial parks in Laos, Thailand, and Vietnam. It analyzes the primary conditions of energy system construction, the structure of energy consumption, energy demand, and carbon emission trends in these parks. By considering local policies, development plans, and energy transition goals, the study assesses the development needs of energy consumption in the parks. It proposes differentiated schemes for constructing low-carbon energy systems in industrial parks, aiming to serve as a reference and guidance for the low-carbon energy transformation of typical industrial parks in the Lancang-Mekong region.
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- 2024
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16. New Type of Soft (Prime) Ideals in Commutative BCK-Algebras
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HUANG Yu, LIAO Zuhua
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bck-algebras ,soft sets ,prime ideals ,annihilators ,compositional operation ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
The soft set theory is an important mathematical tool for dealing with uncertainty. By endowing a par-ameter set as a commutative BCK-algebra (that is commutative weak-BCI-algebra), the notions of a new type of soft prime ideals, annihilators of soft sets and new type of involutory soft ideals in commutative BCK-algebras are introduced. Two new compositional operations are defined and used to characterize the new type of soft ideals in commutative BCK-algebras. By using partial ordering on commutative BCK-algebras, some properties of the new type of soft ideals are studied. Properties of annihilators of soft sets and new type of involutory soft ideals are obtained. The existence of a new type of soft prime ideals in commutative BCK-algebras and its difference from the standard soft prime ideals are illustrated with examples. It is shown that a soft set is a new type of soft prime ideals in commutative BCK-algebras and its level set is a prime ideal is not a necessary and sufficient condition, which is different from the results of the usual fuzzy algebra. Some equivalent characterizations of the new type of soft prime ideals in commutative BCK-algebras are given. Furthermore, the properties of its homomorphism image and inverse image are discussed.
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- 2022
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17. lncRNA WT1-AS attenuates hypoxia/ischemia-induced neuronal injury during cerebral ischemic stroke via miR-186-5p/XIAP axis
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You Jianquan, Qian Fei, Huang Yu, Guo Yingxuan, Lv Yaqian, Yang Yuqi, Lu Xiupan, Guo Ting, Wang Jun, and Gu Bin
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wilms tumor 1 antisense rna ,cerebral ischemic stroke ,microrna-186-5p ,x-linked inhibitor of apoptosis ,oxygen glucose deprivation ,Medicine - Abstract
This study aimed to investigate the role and mechanism of long non-coding RNA (lncRNA) WT1 antisense RNA (WT1-AS) in cerebral ischemic stroke. The Starbase database and dual-luciferase reporter gene assay were used to analyze the interaction between lncRNA WT1 antisense RNA (lncRNA WT1-AS) and microRNA-186-5p (miR-186-5p). Reverse transcription-quantitative PCR analysis was performed to determine lncRNA WT1-AS and miR-186-5p levels. An oxygen glucose deprivation (OGD)-induced SH-SY5Y cell injury model was established. Cell viability and apoptosis were determined using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide and flow cytometric assays, respectively. Caspase 3 activity was evaluated using a caspase 3 activity detection kit. The results showed that miR-186-5p is a direct target of the lncRNA WT1-AS. In addition, lncRNA WT1-AS levels were downregulated and miR-186-5p levels were upregulated in the blood samples of patients with ischemic stroke and OGD-induced SH-SY5Y cells. WT1-AS overexpression promoted OGD-induced cell viability and reduced the cell apoptosis and caspase 3 activity. However, these effects were reversed by miR-186-5p overexpression. Furthermore, the results demonstrated that the X-linked inhibitor of apoptosis (XIAP) was directly targeted by miR-186-5p. Similarly, transfection with the miR-186-5p inhibitor reduced OGD-induced neuronal damage by upregulating XIAP expression. In conclusion, lncRNA WT1-AS attenuates hypoxia/ischemia-induced neuronal injury in cerebral ischemic stroke through the miR-186-5p/XIAP axis.
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- 2022
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18. Recent discoveries in microbiota dysbiosis, cholangiocytic factors, and models for studying the pathogenesis of primary sclerosing cholangitis
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Huang Yu, Zhang Shuai, Weng Jie-Feng, Huang Di, and Gu Wei-Li
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dysbiosis ,fibrosis ,phenotype ,inflammation ,cholangiopathy ,Medicine - Abstract
Primary sclerosing cholangitis (PSC) is a cholangiopathy caused by genetic and microenvironmental changes, such as bile homeostasis disorders and microbiota dysbiosis. Therapeutic options are limited, and proven surveillance strategies are currently lacking. Clinically, PSC presents as alternating strictures and dilatations of biliary ducts, resulting in the typical “beaded” appearance seen on cholangiography. The pathogenesis of PSC is still unclear, but cholangiocytes play an essential role in disease development, wherein a reactive phenotype is caused by the secretion of neuroendocrine factors. The liver–gut axis is implicated in the pathogenesis of PSC owing to the dysbiosis of microbiota, but the underlying mechanism is still poorly understood. Alterations in cholangiocyte responses and related signalling pathways during PSC progression were elucidated by recent research, providing novel therapeutic targets. In this review, we summarise the currently known underlying mechanisms of PSC pathogenesis caused by the dysbiosis of microbiota and newly reported information regarding cholangiocytes in PSC. We also summarise recently reported in vitro and in vivo models for studying the pathogenesis of PSC.
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- 2022
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19. Preparation of silver-loaded Ca-based organic framework and its adsorption/ separation properties for Xe/Kr
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WU Xiaoling, ZHOU He, ZHANG Ning, QIAN Nan, GUO Bing, HUANG Yu, LI Changyuan, CHU Xinxin, and LIU Wei
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γ-ray irradiation ,xe/kr adsorption and separation ,silver-load ,metal-organic framework ,molten salt reactor ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 ,Medical physics. Medical radiology. Nuclear medicine ,R895-920 - Abstract
The Ca-based organic framework (Ca-SINAP-1) loaded with silver was successfully prepared, which has a certain γ-ray irradiation resistance of 50 kGy. X-ray diffraction, scanning electron microscopy, Brunauer-Emmett-Teller specific surface area analysis, and pore volume analysis were used to characterize the sample and its Xe adsorption capacity. The results showed that loading of silver on the sample surface did not change the original structure of Ca-SINAP-1. However, the Xe uptake reached a maximum of 3.29 mmol/g and the Xe/Kr separation coefficient was 10.71 when silver loading was 0.93%. With increasing AgNO3 concentration in ethanol, the Xe adsorption quantity decreased because excess silver loading blocked the channels, and thus prevented Xe adsorption. The good irradiation resistance and high Xe/Kr selectivity make Ca-SINAP-1 a potential material for treating radioactive off-gas emitted from molten salt reactors.
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- 2022
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20. Distributed Transverse Stress Sensor Based on Mode Coupling in Weakly-Coupled FMF
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Junchi Jia, Yu Yang, Mingqing Zuo, Jian Cui, Yuyang Gao, Jinyi Yu, Huang Yu, Zhenrong Zhang, Zhangyuan Chen, Yongqi He, and Juhao Li
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Distributed transverse stress sensor ,few-mode fibers ,mode coupling effect ,optical fiber sensors ,Applied optics. Photonics ,TA1501-1820 ,Optics. Light ,QC350-467 - Abstract
Distributed optical fiber sensors (DOFSs) have faced the challenge of measuring transverse stress along the fiber and the current main approach has been based on polarization coupling effect in polarization-maintaining fibers (PMFs), which has short sensing length and high dependence on direction of exerted stress. Instead, here we propose a novel distributed transverse stress sensor (DTSS) based on coupling effect between linearly-polarized (LP) modes in weakly-coupled few-mode-fibers (FMFs). In this scheme, multiple LP modes could be considered as independent spatial channels without stress perturbation because of ultralow inherent modal crosstalk, while quantifiable and spatially-resolvable mode coupling for a probe signal will occur under transverse stress satisfying phase-matching conditions. A proof-of-concept DTSS system is verified based on weakly-coupled two-mode fibers and mode-selective couplers for mode conversion. Moreover, we show that the scheme is little affected by mild common parameters including temperature, strain, twist, direction of stress, or state-of-polarization (SOP), which is crucial for accurate stress analysis under complex environmental conditions. The proposed DTSS scheme has simple structure, high flexibility for different sensing ranges and resolutions, and high collaborating capability with other sensing mechanisms.
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- 2022
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21. Crystal structure of bis(dimethylammonium) poly[{μ4-1,1ʹ-(1,4-phenylenebis(methylene))bis(1H-pyrazole-3,5-dicarboxylato)-κ6N4O2}zinc(II)], C22H26N6O8Zn
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Xia Yu-Pei and Huang Yu-Xin
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2235520 ,Physics ,QC1-999 ,Crystallography ,QD901-999 - Abstract
C22H26N6O8Zn, monoclinic, P21/c (no. 14), a = 10.9820(8) Å, b = 10.5260(7) Å, c = 12.0980(11) Å, β = 118.661(2)°, V = 1227.13(17) Å3, Z = 2, Rgt(F) = 0.0352, wRref(F2) = 0.1101, T = 298.15 K.
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- 2023
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22. The gut-cardiovascular connection: new era for cardiovascular therapy
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Cheng Chak Kwong and Huang Yu
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cardiovascular diseases ,dysbiosis ,endothelium ,endotoxin ,fecal microbiota transplantation ,gut microbiome ,Medicine - Abstract
Our gut microbiome is constituted by trillions of microorganisms including bacteria, archaea and eukaryotic microbes. Nowadays, gut microbiome has been gradually recognized as a new organ system that systemically and biochemically interact with the host. Accumulating evidence suggests that the imbalanced gut microbiome contributes to the dysregulation of immune system and the disruption of cardiovascular homeostasis. Specific microbiome profiles and altered intestinal permeability are often observed in the pathophysiology of cardiovascular diseases. Gut-derived metabolites, toxins, peptides and immune cell-derived cytokines play pivotal roles in the induction of inflammation and the pathogenesis of dysfunction of heart and vasculature. Impaired crosstalk between gut microbiome and multiple organ systems, such as gut-vascular, heart-gut, gut-liver and brain-gut axes, are associated with higher cardiovascular risks. Medications and strategies that restore healthy gut microbiome might therefore represent novel therapeutic options to lower the incidence of cardiovascular and metabolic disorders.
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- 2021
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23. Image of the Kerr-Newman black hole surrounded by a thin accretion disk
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Guo, Sen, Huang, Yu-Xiang, Liang, En-Wei, Liang, Yu, Jiang, Qing-Quan, and Lin, Kai
- Subjects
Astrophysics - High Energy Astrophysical Phenomena - Abstract
The image of a Kerr-Newman (KN) black hole (BH) surrounded by a thin accretion disk is derived. By employing elliptic integrals and ray-tracing methods, we analyze photon trajectories around the KN BH. At low observation inclination angles, the secondary image of particles is embedded within the primary image. However, as the inclination increases, the primary and secondary images separate, forming a hat-like structure. The spin and charge of the BH, along with the observer's inclination angle, affect the image's asymmetry and the distortion of the inner shadow. To investigate the redshift distribution on the accretion disk, we extended the inner boundary of the accretion disk to the event horizon. The results show that the redshift distribution is significantly influenced by the observation inclination angle. Furthermore, we conducted a detailed analysis of the KN BH image using fisheye camera ray-tracing techniques and found that the optical appearance and intensity distribution of the BH vary at different observation frequencies (specifically at 230GHz and 86GHz). We also examined differences in intensity distribution for prograde and retrograde accretion disk scenarios. Comparing observational at the two frequencies, we found that both the total intensity and peak intensity at 86GHz are higher than those at 230GHz., Comment: 26 pages, 21 figures
- Published
- 2024
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- View/download PDF
24. Test-Time Training with Quantum Auto-Encoder: From Distribution Shift to Noisy Quantum Circuits
- Author
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Jian, Damien, Huang, Yu-Chao, and Goan, Hsi-Sheng
- Subjects
Quantum Physics - Abstract
In this paper, we propose test-time training with the quantum auto-encoder (QTTT). QTTT adapts to (1) data distribution shifts between training and testing data and (2) quantum circuit error by minimizing the self-supervised loss of the quantum auto-encoder. Empirically, we show that QTTT is robust against data distribution shifts and effective in mitigating random unitary noise in the quantum circuits during the inference. Additionally, we establish the theoretical performance guarantee of the QTTT architecture. Our novel framework presents a significant advancement in developing quantum neural networks for future real-world applications and functions as a plug-and-play extension for quantum machine learning models., Comment: 14 pages
- Published
- 2024
25. Giant spin Hall effect with multi-directional spin components in Ni4W
- Author
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Yang, Yifei, Lee, Seungjun, Chen, Yu-Chia, Jia, Qi, Sousa, Duarte, Odlyzko, Michael, Garcia-Barriocanal, Javier, Yu, Guichuan, Haugstad, Greg, Fan, Yihong, Huang, Yu-Han, Lyu, Deyuan, Cresswell, Zach, Low, Tony, and Wang, Jian-Ping
- Subjects
Condensed Matter - Mesoscale and Nanoscale Physics ,Condensed Matter - Materials Science - Abstract
Spin-orbit torque (SOT) can be used to efficiently manipulate the magnetic state of magnetic materials, which is an essential element for memory and logic applications. Due to symmetry constraints, only in-plane spins can be injected into the ferromagnet from the underlying SOT layer for conventional SOT materials such as heavy metals and topological materials. Through the use of materials with low symmetries, or other symmetry breaking approaches, unconventional spin currents with out-of-plane polarization has been demonstrated and enabled field-free deterministic switching of perpendicular magnetization. Despite this progress, the SOT efficiency of these materials has typically remained low. Here, we report a giant SOT efficiency of 0.85 in sputtered Ni4W/CoFeB heterostructure at room temperature, as evaluated by second harmonic Hall measurements. In addition, due to the low crystal symmetry of Ni4W, unconventional out-of-plane and Dresselhaus-like spin components were observed. Macro-spin simulation suggests our spin Hall tensor to provide about an order of magnitude improvement in the magnetization switching efficiency, thus broadening the path towards energy efficient spintronic devices using low-symmetry materials.
- Published
- 2024
26. Spectral Constraints on Theories of Colored Particles and Gravity
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Hillman, Aaron, Huang, Yu-tin, Rodina, Laurentiu, and Rumbutis, Justinas
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High Energy Physics - Theory - Abstract
In this letter, we consider effective field theories for light fields transforming under the fundamental or adjoint representation of a continuous group. We demonstrate that in the presence of gravity, crossing symmetry combined with two subtraction sum rules, leads to stringent constraints on the spectrum of its ultraviolet (UV) completion. Such constraints come in the form of necessary conditions on the symmetry group irreps of the UV states. This is in sharp contrast with non-gravitational theories where anything goes. Beautifully, the graviton pole is the anchor of our argument, not an obstruction. Using numerical methods, we also demonstrate that the massless spin-2 must be a singlet under said symmetry group., Comment: 5 pages + appendix, 1 figure
- Published
- 2024
27. Absorptive Effects in Black Hole Scattering
- Author
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Bautista, Yilber Fabian, Huang, Yu-Tin, and Kim, Jung-Wook
- Subjects
High Energy Physics - Theory ,General Relativity and Quantum Cosmology - Abstract
In this paper we define absorptive Compton amplitudes, which captures the absorption factor for waves of spin-weight-$s$ scattering in black hole perturbation theory. At the leading order, in the $G M \omega$ expansion, such amplitudes are purely imaginary and expressible as contact terms. Equipped with these amplitudes we compute the mass change in black hole scattering events via Kosower-Maybee-O'Connell formalism, where the rest mass of Schwarzschild/Kerr black hole is modified due to absorption of gravitational, electromagnetic, or scalar fields sourced by other compact object. We reproduced the power loss previously computed in the post-Newtonian expansion. The results presented here hold for similar mass ratios and generic spin orientation, while keeping the Kerr spin parameter to lie in the physical region $\chi \le 1$., Comment: 25 pages, 3 figures
- Published
- 2024
28. A Robust Super-Resolution Classifier by Nonlinear Optics
- Author
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Darji, Ishan, Kumar, Santosh, and Huang, Yu-Ping
- Subjects
Physics - Optics - Abstract
Spatial-mode projective measurements could achieve super-resolution in remote sensing and imaging, yet their performance is usually sensitive to the parameters of the target scenes. We propose and demonstrate a robust classifier of close-by light sources by using optimized mode projection via nonlinear optics. Contrary to linear-optics based methods using the first few Hermite-Gaussian modes for the projection, here the projection modes are optimally tailored by shaping the pump wave to drive the nonlinear optical process. This minimizes modulation losses and allows high flexibility in designing those modes for robust and efficient measurements. We test this classifier on discriminating one light source and two sources separated well within the Rayleigh limit without prior knowledge of the exact centroid or brightness. Our results show a classification fidelity of over 80% even when the centroid is misaligned by half the source separation, or when one source is four times stronger than the other.
- Published
- 2024
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29. Dynamic Threshold-based Two-layer Online Unsupervised Anomaly Detector
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Yuan, Yachao, Huang, Yu, Yuan, Yali, and Wang, Jin
- Subjects
Computer Science - Machine Learning ,Electrical Engineering and Systems Science - Signal Processing - Abstract
The proliferation of the Internet of Things (IoT) has heightened the vulnerability to cyber threats, making it imperative to develop Anomaly Detection Systems (ADSs) capable of adapting to emerging or novel attacks. Prior research has predominantly concentrated on offline unsupervised learning techniques to protect ADSs, which are impractical for real-world applications. Furthermore, these studies often rely heavily on the assumption of known legitimate behaviors and fall short of meeting the interpretability requirements in security contexts, thereby hindering their practical adoption. In response, this paper introduces Adaptive NAD, a comprehensive framework aimed at enhancing and interpreting online unsupervised anomaly detection within security domains. We propose an interpretable two-layer anomaly detection approach that generates dependable, high-confidence pseudo-labels. Subsequently, we incorporate an online learning mechanism that updates Adaptive NAD using an innovative threshold adjustment method to accommodate new threats. Experimental findings reveal that Adaptive NAD surpasses state-of-the-art solutions by achieving improvements of over 5.4% and 23.0% in SPAUC on the CIC-Darknet2020 and CIC-DoHBrw-2020 datasets, respectively. The code for Adaptive NAD is publicly available at https://github.com/MyLearnCodeSpace/Adaptive-NAD.
- Published
- 2024
30. First Photon Machine Learning
- Author
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Li, Lili, Kumar, Santosh, Garikapati, Malvika, and Huang, Yu-Ping
- Subjects
Quantum Physics ,Physics - Optics - Abstract
Quantum techniques are expected to revolutionize how information is acquired, exchanged, and processed. Yet it has been a challenge to realize and measure their values in practical settings. We present first photon machine learning as a new paradigm of neural networks and establish the first unambiguous advantage of quantum effects for artificial intelligence. By extending the physics behind the double-slit experiment for quantum particles to a many-slit version, our experiment finds that a single photon can perform image recognition at around $30\%$ fidelity, which beats by a large margin the theoretical limit of what a similar classical system can possibly achieve (about 24\%). In this experiment, the entire neural network is implemented in sub-attojoule optics and the equivalent per-calculation energy cost is below $10^{-24}$ joule, highlighting the prospects of quantum optical machine learning for unparalleled advantages in speed, capacity, and energy efficiency., Comment: 19 pages, 5 figures
- Published
- 2024
31. Is Prior-Free Black-Box Non-Stationary Reinforcement Learning Feasible?
- Author
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Gerogiannis, Argyrios, Huang, Yu-Han, and Veeravalli, Venugopal V.
- Subjects
Computer Science - Machine Learning - Abstract
We study the problem of Non-Stationary Reinforcement Learning (NS-RL) without prior knowledge about the system's non-stationarity. A state-of-the-art, black-box algorithm, known as MASTER, is considered, with a focus on identifying the conditions under which it can achieve its stated goals. Specifically, we prove that MASTER's non-stationarity detection mechanism is not triggered for practical choices of horizon, leading to performance akin to a random restarting algorithm. Moreover, we show that the regret bound for MASTER, while being order optimal, stays above the worst-case linear regret until unreasonably large values of the horizon. To validate these observations, MASTER is tested for the special case of piecewise stationary multi-armed bandits, along with methods that employ random restarting, and others that use quickest change detection to restart. A simple, order optimal random restarting algorithm, that has prior knowledge of the non-stationarity is proposed as a baseline. The behavior of the MASTER algorithm is validated in simulations, and it is shown that methods employing quickest change detection are more robust and consistently outperform MASTER and other random restarting approaches., Comment: Corrected minor typos in the proof of Theorem 2 on pages 25 and 26
- Published
- 2024
32. On-Shell Approach to Black Hole Mergers
- Author
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Aoki, Katsuki, Cristofoli, Andrea, and Huang, Yu-tin
- Subjects
High Energy Physics - Theory ,General Relativity and Quantum Cosmology - Abstract
We develop an on-shell approach to study black hole mergers. Since, asymptotically, the initial and final states can be described by point-like spinning particles, we propose a massive three-point amplitude for the merger of two Schwarzschild black holes into a Kerr black hole. This three-point amplitude and the spectral function of the final state are fully determined by kinematics and the model-independent input about the black hole merger which is described by a complete absorption process. Using the Kosower-Maybee-O'Connell (KMOC) formalism, we then reproduce the classical conservation laws for momentum and angular momentum after the merger. As an application, we use the proposed three-point to compute the graviton emission amplitude, from which we extract the merger waveform to all orders in spin but leading in gravitational coupling. Up to sub-subleading order in spin, this matches the classical soft graviton theorem. We conclude with a comparison to black hole perturbation theory, which gives complementary amplitudes which are non-perturbative in the gravitational coupling but to leading order in the extreme mass ratio limit. This also highlights how boundary conditions on a Schwarzschild background can be used to rederive the proposed on-shell amplitudes for merger processes., Comment: 44 pages
- Published
- 2024
33. Diminishing Exploration: A Minimalist Approach to Piecewise Stationary Multi-Armed Bandits
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Li, Kuan-Ta, Hsieh, Ping-Chun, and Huang, Yu-Chih
- Subjects
Computer Science - Machine Learning ,Computer Science - Information Theory - Abstract
The piecewise-stationary bandit problem is an important variant of the multi-armed bandit problem that further considers abrupt changes in the reward distributions. The main theme of the problem is the trade-off between exploration for detecting environment changes and exploitation of traditional bandit algorithms. While this problem has been extensively investigated, existing works either assume knowledge about the number of change points $M$ or require extremely high computational complexity. In this work, we revisit the piecewise-stationary bandit problem from a minimalist perspective. We propose a novel and generic exploration mechanism, called diminishing exploration, which eliminates the need for knowledge about $M$ and can be used in conjunction with an existing change detection-based algorithm to achieve near-optimal regret scaling. Simulation results show that despite oblivious of $M$, equipping existing algorithms with the proposed diminishing exploration generally achieves better empirical regret than the traditional uniform exploration.
- Published
- 2024
34. CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models
- Author
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Lai, Songning, Yang, Jiayu, Huang, Yu, Hu, Lijie, Xue, Tianlang, Hu, Zhangyi, Li, Jiaxu, Liao, Haicheng, and Yue, Yutao
- Subjects
Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Cryptography and Security - Abstract
Despite the transformative impact of deep learning across multiple domains, the inherent opacity of these models has driven the development of Explainable Artificial Intelligence (XAI). Among these efforts, Concept Bottleneck Models (CBMs) have emerged as a key approach to improve interpretability by leveraging high-level semantic information. However, CBMs, like other machine learning models, are susceptible to security threats, particularly backdoor attacks, which can covertly manipulate model behaviors. Understanding that the community has not yet studied the concept level backdoor attack of CBM, because of "Better the devil you know than the devil you don't know.", we introduce CAT (Concept-level Backdoor ATtacks), a methodology that leverages the conceptual representations within CBMs to embed triggers during training, enabling controlled manipulation of model predictions at inference time. An enhanced attack pattern, CAT+, incorporates a correlation function to systematically select the most effective and stealthy concept triggers, thereby optimizing the attack's impact. Our comprehensive evaluation framework assesses both the attack success rate and stealthiness, demonstrating that CAT and CAT+ maintain high performance on clean data while achieving significant targeted effects on backdoored datasets. This work underscores the potential security risks associated with CBMs and provides a robust testing methodology for future security assessments.
- Published
- 2024
35. Unraveling the Energy-Energy Correlators for Heavy Flavor Tagged Jets in pp, p+Pb and Pb+Pb Collisions
- Author
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Shen, Ke-Ming, Chen, Shi-Yong, Huang, Yu-Jie, Dai, Wei, and Zhang, Ben-Wei
- Subjects
High Energy Physics - Phenomenology ,Nuclear Theory - Abstract
In this study, energy-energy correlator (EEC) distributions for the $\rm D^0$, $\rm B^0$-tagged, inclusive, and the PYTHIA generated pure quark jets are computed in pp, p+Pb, and Pb+Pb collisions at \sqrts =5.02 TeV for a same jet transverse momentum interval 15-30 GeV. We find the number of particles per jet determines the height of the EEC distribution in pp baseline. The averaged energy weight distribution resulted in a shift of the originally larger angular distributed particle distribution to a smaller RL, thereby obtaining an EEC distribution. The EEC distributions for all quark-tagged jets in A+A exhibit a noticeable shift towards larger RL region, suggesting that the jets will be more widely distributed compared to those in pp collisions. The jet quenching effect will cause the pair angular distribution to shift towards larger values and increase the number of particles per jet. This redistribution of energy within the jets suggests that the already reduced jet energy is redistributed among a larger number of particles, leading to a reduced energy weight per pair. The enhancement of the number of particles per jet and the reduced averaged energy weight interplay with each other to form the medium modification of EEC., Comment: 9 pages, 5 figures
- Published
- 2024
36. OD-Stega: LLM-Based Near-Imperceptible Steganography via Optimized Distributions
- Author
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Huang, Yu-Shin, Just, Peter, Narayanan, Krishna, and Tian, Chao
- Subjects
Computer Science - Information Theory ,Computer Science - Artificial Intelligence ,Computer Science - Computation and Language ,Computer Science - Cryptography and Security ,Computer Science - Machine Learning - Abstract
We consider coverless steganography where a Large Language Model (LLM) drives an arithmetic coding decoder to generate stego-texts. An efficient method should embed secret message bits in as few language tokens as possible, while still keeping the stego-text natural and fluent. We show that on the individual token level, this problem is mathematically equivalent to maximizing the entropy of a replacement probability distribution of the next token generation, subject to a constraint on the KL divergence between the chosen probability distribution and the original distribution given by the LLM. A closed-form solution is provided for the optimization problem, which can be computed efficiently. Several important practical issues are also tackled: 1) An often-overlooked tokenization mismatch issue is resolved with a simple prompt selection approach, 2) The combination of the optimized distribution and the vocabulary truncation technique is considered, and 3) The combination of the optimized distribution with other sequence-level selection heuristics to further enhance the efficiency and reliability is studied., Comment: 9 figures
- Published
- 2024
37. Fast Radio Bursts with Narrow Beaming Angles Can Escape from Magnetar Magnetospheres
- Author
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Huang, Yu-Chen and Dai, Zi-Gao
- Subjects
Astrophysics - High Energy Astrophysical Phenomena - Abstract
Fast radio bursts (FRBs) are millisecond duration transients observed in the radio band, with their origin and radiation mechanism remaining unclear to date. Growing evidence indicates that at least some FRBs originate from magnetars and are likely generated within the magnetospheres of these highly magnetized neutron stars. However, a recent study suggested that FRBs originating from magnetar magnetospheres would be scattered by magnetospheric electron--positron pair plasma, making it impossible for them to escape successfully. In this paper, we first demonstrate that the scattering effect can be greatly attenuated if the angle between the FRB propagation direction and the background magnetic field is $\sim10^{-2} \text{ rad}$ or smaller. When the angle is around $10^{-1} \text{ rad}$, the beaming effect of FRBs becomes significant in reducing scattering. Such FRBs have small transverse spatial sizes, which can help them instantly push the front plasma laterally out of the radiation region. This significantly mitigates the FRB-induced two-photon annihilation reaction, $\gamma+\gamma\to e^{-}+e^{+}$, which was previously regarded as a key factor hindering the propagation of FRBs. A critical radiation cone half-opening angle between $10^{-3}-10^{-2}\text{ rad}$ is found for an FRB with isotropic luminosity $L_{\text{iso}}\sim 10^{42}\text{ erg s}^{-1}$ and emitted at a radius $r_{\text{em}}\lesssim 10^9\text{ cm}$ in the magnetosphere of a magnetar. Smaller beaming angles and larger emission radii can be more advantageous for the propagation of FRBs in magnetospheres. Our result supports the scenario that FRBs could originate from magnetar magnetospheres., Comment: 11 pages, 8 figures, accepted by ApJ
- Published
- 2024
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38. Multi-Grained Specifications for Distributed System Model Checking and Verification
- Author
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Ouyang, Lingzhi, Sun, Xudong, Tang, Ruize, Huang, Yu, Jivrajani, Madhav, Ma, Xiaoxing, and Xu, Tianyin
- Subjects
Computer Science - Distributed, Parallel, and Cluster Computing ,Computer Science - Software Engineering - Abstract
This paper presents our experience specifying and verifying the correctness of ZooKeeper, a complex and evolving distributed coordination system. We use TLA+ to model fine-grained behaviors of ZooKeeper and use the TLC model checker to verify its correctness properties; we also check conformance between the model and code. The fundamental challenge is to balance the granularity of specifications and the scalability of model checking -- fine-grained specifications lead to state-space explosion, while coarse-grained specifications introduce model-code gaps. To address this challenge, we write specifications with different granularities for composable modules, and compose them into mixed-grained specifications based on specific scenarios. For example, to verify code changes, we compose fine-grained specifications of changed modules and coarse-grained specifications that abstract away details of unchanged code with preserved interactions. We show that writing multi-grained specifications is a viable practice and can cope with model-code gaps without untenable state space, especially for evolving software where changes are typically local and incremental. We detected six severe bugs that violate five types of invariants and verified their code fixes; the fixes have been merged to ZooKeeper. We also improve the protocol design to make it easy to implement correctly.
- Published
- 2024
39. MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
- Author
-
Li, Eric, Zhang, Yifan, Huang, Yu, and Leach, Kevin
- Subjects
Computer Science - Cryptography and Security ,Computer Science - Machine Learning - Abstract
Recent growth and proliferation of malware has tested practitioners' ability to promptly classify new samples according to malware families. In contrast to labor-intensive reverse engineering efforts, machine learning approaches have demonstrated increased speed and accuracy. However, most existing deep-learning malware family classifiers must be calibrated using a large number of samples that are painstakingly manually analyzed before training. Furthermore, as novel malware samples arise that are beyond the scope of the training set, additional reverse engineering effort must be employed to update the training set. The sheer volume of new samples found in the wild creates substantial pressure on practitioners' ability to reverse engineer enough malware to adequately train modern classifiers. In this paper, we present MalMixer, a malware family classifier using semi-supervised learning that achieves high accuracy with sparse training data. We present a novel domain-knowledge-aware technique for augmenting malware feature representations, enhancing few-shot performance of semi-supervised malware family classification. We show that MalMixer achieves state-of-the-art performance in few-shot malware family classification settings. Our research confirms the feasibility and effectiveness of lightweight, domain-knowledge-aware feature augmentation methods and highlights the capabilities of similar semi-supervised classifiers in addressing malware classification issues.
- Published
- 2024
40. Kinematic Lensing Inference II: Cluster Lensing with $\mathcal{O}$(1) Galaxies
- Author
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S., Pranjal R., Huff, Eric, Krause, Elisabeth, Eifler, Tim, Everett, Spencer, Huang, Yu-Hsiu, and Xu, Jiachuan
- Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We present the first detection of a cluster lensing signal with `Kinematic Lensing' (KL), a novel weak lensing method that combines photometry, spectroscopy, and the Tully-Fisher relation to enable shear measurements with individual source galaxies. This is the second paper in a two-part series aimed at measuring a KL signal from data. The first paper, arXiv:2209.11811, describes the inference pipeline, which jointly forward models galaxy imaging and spectroscopy, and demonstrates unbiased shear inference with simulated data. This paper presents measurements of the lensing signal from the galaxy cluster Abell 2261. We obtain spectroscopic observations of background disk galaxies in the cluster field selected from the CLASH Subaru catalog. The final sample consists of three source galaxies while the remaining are rejected due to insufficient signal-to-noise, spectroscopic failures, and inadequately sampled rotation curves. We apply the KL inference pipeline to the three sources and find the shear estimates to be in broad agreement with traditional weak lensing measurements. The typical shear measurement uncertainty for our sources is $\sigma(g_+)\approx 0.026$, which represents approximately a ten-fold improvement over the weak lensing shape noise. We identify target selection and observing strategy as the key avenues of improvement for future KL programs., Comment: v1: To be submitted to MNRAS. Comments are welcome!
- Published
- 2024
41. Deep Learning for predicting rate-induced tipping
- Author
-
Huang, Yu, Bathiany, Sebastian, Ashwin, Peter, and Boers, Niklas
- Subjects
Computer Science - Machine Learning ,Mathematics - Dynamical Systems ,Physics - Atmospheric and Oceanic Physics - Abstract
Nonlinear dynamical systems exposed to changing forcing can exhibit catastrophic transitions between alternative and often markedly different states. The phenomenon of critical slowing down (CSD) can be used to anticipate such transitions if caused by a bifurcation and if the change in forcing is slow compared to the internal time scale of the system. However, in many real-world situations, these assumptions are not met and transitions can be triggered because the forcing exceeds a critical rate. For example, given the pace of anthropogenic climate change in comparison to the internal time scales of key Earth system components, such as the polar ice sheets or the Atlantic Meridional Overturning Circulation, such rate-induced tipping poses a severe risk. Moreover, depending on the realisation of random perturbations, some trajectories may transition across an unstable boundary, while others do not, even under the same forcing. CSD-based indicators generally cannot distinguish these cases of noise-induced tipping versus no tipping. This severely limits our ability to assess the risks of tipping, and to predict individual trajectories. To address this, we make a first attempt to develop a deep learning framework to predict transition probabilities of dynamical systems ahead of rate-induced transitions. Our method issues early warnings, as demonstrated on three prototypical systems for rate-induced tipping, subjected to time-varying equilibrium drift and noise perturbations. Exploiting explainable artificial intelligence methods, our framework captures the fingerprints necessary for early detection of rate-induced tipping, even in cases of long lead times. Our findings demonstrate the predictability of rate-induced and noise-induced tipping, advancing our ability to determine safe operating spaces for a broader class of dynamical systems than possible so far.
- Published
- 2024
42. Distribution Discrepancy and Feature Heterogeneity for Active 3D Object Detection
- Author
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Chen, Huang-Yu, Yeh, Jia-Fong, Liao, Jia-Wei, Peng, Pin-Hsuan, and Hsu, Winston H.
- Subjects
Computer Science - Computer Vision and Pattern Recognition - Abstract
LiDAR-based 3D object detection is a critical technology for the development of autonomous driving and robotics. However, the high cost of data annotation limits its advancement. We propose a novel and effective active learning (AL) method called Distribution Discrepancy and Feature Heterogeneity (DDFH), which simultaneously considers geometric features and model embeddings, assessing information from both the instance-level and frame-level perspectives. Distribution Discrepancy evaluates the difference and novelty of instances within the unlabeled and labeled distributions, enabling the model to learn efficiently with limited data. Feature Heterogeneity ensures the heterogeneity of intra-frame instance features, maintaining feature diversity while avoiding redundant or similar instances, thus minimizing annotation costs. Finally, multiple indicators are efficiently aggregated using Quantile Transform, providing a unified measure of informativeness. Extensive experiments demonstrate that DDFH outperforms the current state-of-the-art (SOTA) methods on the KITTI and Waymo datasets, effectively reducing the bounding box annotation cost by 56.3% and showing robustness when working with both one-stage and two-stage models., Comment: Accepted to CoRL 2024
- Published
- 2024
43. Manipulating Fano coupling in an opto-thermoelectric field
- Author
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Lin, Linhan, Lepeshov, Sergey, Krasnok, Alex, Huang, Yu, Jiang, Taizhi, Peng, Xiaolei, Korgel, Brian A., Alu, Andrea, and Zheng, Yuebing
- Subjects
Physics - Optics - Abstract
Fano resonances in photonics arise from the coupling and interference between two resonant modes in structures with broken symmetry. They feature an uneven and narrow and tunable lineshape, and are ideally suited for optical spectroscopy. Many Fano resonance structures have been suggested in nanophotonics over the last ten years, but reconfigurability and tailored design remain challenging. Herein, we propose an all-optical pick-and-place approach aimed at assemble Fano metamolecules of various geometries and compositions in a reconfigurable manner. We study their coupling behavior by in-situ dark-field scattering spectroscopy. Driven by a light-directed opto-thermoelectric field, silicon nanoparticles with high quality-factor Mie resonances (discrete states) and low-loss BaTiO3 nanoparticles (continuum states) are assembled into all-dielectric heterodimers, where distinct Fano resonances are observed. The Fano parameter can be adjusted by changing the resonant frequency of the discrete states or the light polarization. We also show tunable coupling strength and multiple Fano resonances by altering the number of continuum states and discrete states in dielectric heterooligomers. Our work offers a general design rule for Fano resonance and an all-optical platform for controlling Fano coupling on demand.
- Published
- 2024
44. Comprehensive analysis of liquid-liquid phase separation-related genes in prediction of breast cancer prognosis
- Author
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Huang Yu-Qing, Li Peng-Ping, Sun Ke, Yin Ke-Xing, Zhang Wei-Jun, and Wang Zhen-Yu
- Subjects
liquid-liquid phase separation ,multi-gene risk-score ,prediction model ,breast cancer ,TCGA ,Genetics ,QH426-470 - Abstract
Objective: Liquid-liquid phase separation (LLPS) is a functional unit formed by specific molecules. It lacks a membrane and has been reported to play a crucial role in tumor drug resistance and growth by regulating gene expression and drug distribution. However, whether LLPS could be used to predict cancer prognosis was not clear. This study aimed to construct a prognostic model for breast cancer based on LLPS-correlated genes (LCGs).Methods: LCGs were identified using the PhaSepDB, gene expression profile and clinical characteristics of breast cancer were obtained from TCGA and cBioportal. The PanCancer Atlas (TCGA) cohort was used as the training cohort to construct the prognostic model, while the Nature 2012 and Nat Commun 2016 (TCGA) cohort and GEO data were used as test cohort to perform external verification. Data analysis was performed with R4.2.0 and SPSS20.0.Results: We identified 140 prognosis-related LCGs (pLCGs) (p< 0.01) in all cohorts, 240 pLCGs (p< 0.01) in the luminal cohort, and 28 pLCGs (p< 0.05) in the triple-negative breast cancer (TNBC) cohort. Twelve genes in all cohorts (training cohort: 5/10-year ROC values were 0.76 and 0.77; verification cohort: 5/10-year ROC values were 0.61 and 0.58), eight genes in the luminal cohort (training cohort: 5/10-year ROC values were 0.79 and 0.75; verification cohort: 5/10-year ROC values were 0.62 and 0.62), and four genes in the TNBC cohort (training cohort: 5/10-year ROC values were 0.73 and 0.79; verification cohort: 5/10-year ROC values were 0.55 and 0.54) were screened out to construct the prognostic prediction model. The 17-gene risk-score was constructed in all cohorts (1/3/5-year ROC values were 0.88, 0.83, and 0.81), and the 11-gene risk-score was constructed in the luminal cohort (1/3/5-year ROC values were 0.67, 0.85 and 0.84), and the six-gene risk-score was constructed in the TNBC cohort (1/3/5-year ROC value were 0.87, 0.88 and 0.81). Finally, the risk-score and clinical factors were applied to construct nomograms in all cohorts (1/3/5-year ROC values were 0.89, 0.79 and 0.75, C-index = 0.784), in the luminal cohort (1/3/5-year ROC values were 0.84, 0.83 and 0.85, C-index = 0.803), and in the TNBC cohort (1/3/5-year ROC values were 0.95, 0.84 and 0.77, C-index = 0.847).Discussion: This study explored the roles of LCGs in the prediction of breast cancer prognosis.
- Published
- 2022
- Full Text
- View/download PDF
45. Carboxyamidotriazole-orotate inhibits the proliferation and mitochondrial energy metabolism of mouse glioma cell line GL261
- Author
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HUANG Yu-qing, GAO Hong-ting, YANG Li-xing, CHEN Qiu-xia, WANG Yu-cheng, JU Rui, GUO Lei
- Subjects
carboxyamidotriazole-orotate ,cell line gl261 ,proliferation ,apoptosis ,mitochondrial respiration ,Medicine - Abstract
Objective To investigate the effects of carboxyamidotriazole-orotate (CTO) on the proliferation and apoptosis of mouse glioma cell line GL261. Methods The proliferation of GL261 cells was detected by live cell counting. Cell cycle of GL261 cells was detected by PI staining and flow cytometry. Apoptosis of GL261 cells was detected by annexinⅤ/PI double staining and flow cytometry; DCFH-DA staining and flow cytometry were used to detect the content of intracellular reactive oxygen species (ROS) of GL261 cells. The oxygen consumption rate (OCR) of GL261 cells was measured in Seahorse bioenergy assay. The ATP content in GL261 cells was detected by ATP detection kit. Results Compared to the control group, the proliferation of GL261 cells in CTO treatment group was significantly inhibited in a time- and dose-dependent way, the proportion of GL261 cells in S phase was significantly increased (P<0.05) in 20 μmol/L CTO group. Compared with the control group, more apoptosis occurred in GL261 cells of CTO group, and ROS content in GL261 cells of 20 μmol/L CTO group was also significantly increased (P<0.01). Compared with the control group, the contents of OCR and ATP in GL261 cells was signifi- cantly reduced in the CTO group(P<0.01). Conclusions CTO inhibits proliferation of GL261 cells and promotes their apoptosis by increased production of ROS. In addition, CTO inhibits the mitochondrial respiration of GL261 cells and the production of ATP in mitochondria, thus inhibits growth of glioma cells.
- Published
- 2021
46. Students' Perception of Pedagogical Approaches to an Occupation-Based Anatomy Course in Occupational Therapy
- Author
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Chih-Huang Yu, Sean Roush, and John White
- Abstract
There is a need to develop an anatomy course with contemporary pedagogy that is consistent with the core of the occupational therapy profession. The purpose of this study was to examine students' perception of a blended learning pedagogy applied to an occupation-based anatomy course compared to a traditionally delivered anatomy course using cadaver lab for entry-level doctoral occupational therapy students at a private university in the Pacific Northwest region. A retrospective, nonrandomized, twogroup, post-test only design with data gathered at the completion of each course was used. One student cohort received the occupation-based anatomy course with a traditional in-person learning format and the other received the course guided by the universal design, blended learning format. The primary outcomes were students' course performance and perception of the course. At the completion of the course, both student cohorts had equivalent course performance. Compared to those who received the traditional format, the blended learning format cohort yielded significantly higher scores in 3 out of 5 categories of the course evaluation, including syllabus design, contribution of course content to their needs as a professional, and assessment methods that reflected their learning. The study results suggest that the occupation-based anatomy course guided by a contemporary pedagogical approach is equal to traditional methods in anatomical knowledge acquisition but statistically superior in meeting students' perceived needs as professionals and reflecting their learning.
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- 2024
47. Corrigendum to 'Ecological stability of microbial communities in Lake Donghu regulated by keystone taxa' [Ecol. Indicators 136 (2022) 108695]
- Author
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Shengwei Liu, Huang Yu, Yuhe Yu, Jie Huang, Zhengyuan Zhou, Jiaxiong Zeng, Pubo Chen, Fanshu Xiao, Zhili He, and Qingyun Yan
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Ecology ,QH540-549.5 - Published
- 2022
- Full Text
- View/download PDF
48. Linarin ameliorates innate inflammatory response in an experimental dry eye model via modulation of the NLRP3 inflammasome
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Chen Mei, Li Jie, Peng Jun, Huang Yu, Ouyang Weijie, Liu Xiaoqing, Shen Zhibin, Li Changdong, Wang Yi, and Peng Qinghua
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Linarin ,dry eye disease ,NLRP3 inflammasome ,ocular surface ,innate inflammatory response ,Medicine ,Other systems of medicine ,RZ201-999 - Abstract
Objective: To investigate the effect and mechanism of linarin (LA) in an experimental dry eye model Methods: LA or vehicle was applied in two dry eye models: an in vitro hyperosmotic stress model and an in vivo desiccating stress (DS) murine model. The viability of human corneal epithelial cells (HCECs) was measured using a cell counting kit (CCK-8). Tear secretion was assessed using the phenol red cotton test. The tear break-up time (TBUT) was recorded using 0.1% liquid fluorescein sodium. Corneal epithelial permeability was evaluated through Oregon green dextran (OGD) staining. Conjunctival goblet cells were counted using periodic acid-Schiff (PAS) staining. Terminal deoxynucleotidyl transfer dUTP nick-end labeling (TUNEL) staining was used to quantify apoptotic cells in both models. The expression of Ki-67 was measured in HCECs in the cell model while that of matrix metalloproteinase (MMP)-3 and -9 was measured in the murine model through immunofluorescence staining. Real-time quantitative PCR (RT-qPCR) was performed to assess the expression of MMP-3 and MMP-9 in the corneal epithelium and NLRP3, ASC, Caspase-1, interleukin (IL)-1β, IL-18, and tumor necrosis factor (TNF)-α in the conjunctiva. The protein expression levels of NLRP3, ASC, Caspase-1, IL-1β, and IL-18 in the conjunctiva were assessed via Western blot Results: In the in vitro model, treatment of HCECs with LA showed no toxicity, increased proliferation, and reduced apoptosis. In the murine model, compared to the control, LA significantly increased tear production and TBUT, improved OGD staining, and increased the number of goblet cells. Topical treatment of LA to mice provided decreased expression of MMP-3, MMP-9, TNF-α, and apoptotic corneal epithelium. Topical administration of LA also suppressed the NLRP3 inflammasome in the dry eye disease (DED) murine model by decreasing the expression of NLRP3, ASC, Caspase-1, IL-1β, and IL-18 in the conjunctiva. Conclusion: Our findings support the safety and efficacy of LA in the treatment of DED. LA alleviated corneal epithelial damage and suppressed NLRP3 inflammasome-mediated immunity in the conjunctiva in a murine model of DED.
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- 2021
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49. Research on Measures to Improve the Transmission Benefit of West-to-East Power Transmission in Southern Region
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LEI Cheng, HUANG Yu, and TANG Jinrui
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hydropower absorption ,west-to-east transmission ,channel optimize ,measure improve ,transmission benefit ,Energy industries. Energy policy. Fuel trade ,HD9502-9502.5 - Abstract
[Introduction] Aiming at the problems of relatively single perspective, inadequate quantitative and global analysis of existing research on hydropower absorption, this paper systematically studies the measures of Yunnan's surplus hydropower absorption, quantitatively analyses the situation of water releasing in the southern region in the future. [Method] This paper put forward the direction of Yunnan's surplus hydropower absorption, and defined the transmission capacity and margin of the west-to-east power transmission channel on this basis. [Result] Based on the principle of overall coordination, this paper purposefully puts forward two kinds of clean hydropower absorption measures, which are optimal utilization of existing channels and improvement of transmission capacity of Guangdong and Guangxi section. [Conclusion] This is the first time to achieve the coordination and unification of planning and dispatching operation links, and further improve the utilization efficiency and transmission benefit of the west-to-east power transmission in southern region.
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- 2020
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50. Interactions and Stability of Gut Microbiota in Zebrafish Increase with Host Development
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Fanshu Xiao, Wengen Zhu, Yuhe Yu, Jie Huang, Juan Li, Zhili He, Jianjun Wang, Huaqun Yin, Huang Yu, Shengwei Liu, Pubo Chen, Zhijian Huang, Jianguo He, Cheng Wang, Longfei Shu, and Qingyun Yan
- Subjects
zebrafish ,gut microbiota ,microbial interactions ,ecosystem stability ,keystone taxa ,Microbiology ,QR1-502 - Abstract
ABSTRACT Understanding interactions within the gut microbiome and its stability are of critical importance for deciphering ecological issues within the gut ecosystem. Recent studies indicate that long-term instability of gut microbiota is associated with human diseases, and recovery of stability is helpful in the return to health. However, much less is known about such topics in fish, which encompass nearly half of all vertebrate diversity. Here, we examined the assembly and succession of gut microbiota in more than 550 zebrafish, and evaluated the variations of microbial interactions and stability across fish development from larva to adult using molecular ecological network analysis. We found that microbial interactions and stability in the fish gut ecosystem generally increased with host development. This could be attributed to the development of the zebrafish immune system, the increasing amount of space available for microbial colonization within the gut, and the greater stability of nutrients available for the colonized microbiota in adult zebrafish. Moreover, the potential keystone taxa, even those with relatively low abundances, played important roles in affecting the microbial interactions and stability. These findings indicate that regulating rare keystone taxa in adult fish may have great potential in gut microbial management to maintain gut ecosystem stability, which could also provide references for managing gut microbiota in humans and other animals. IMPORTANCE Understanding gut microbial stability and the underlying mechanisms is an important but largely ignored ecological issue in vertebrate fish. Here, using a zebrafish model and network analysis of the gut microbiota we found that microbial interactions and stability in the gut ecosystem increase with fish development. This finding has important implications for microbial management to maintain gut homeostasis and provide better gut ecosystem services for the host. First, future studies should always consider using fish of different age groups to gain a full understanding of gut microbial networks. Second, management of the keystone taxa, even those that are only present at a low abundance, during the adult stage may be a viable pathway to maintain gut ecosystem stability. This study greatly expands our current knowledge regarding gut ecosystem stability in terms of ecological networks affected by fish development, and also highlights potential directions for gut microbial management in humans and other animals.
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- 2022
- Full Text
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