16,388 results on '"Wei, Shi"'
Search Results
152. Eligibility for knee arthroplasty is associated with increased risk of acquired hallux valgus - a Mendelian randomized study
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Zhijun Li, Zhengxuan Liu, Wei Shi, Xinyu Liang, Chunlei Xu, Kai Zhang, Hui Li, and Huafeng Zhang
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Acquired hallux valgus ,Knee arthroplasty ,Mendelian randomization ,Osteoarthritis ,Diseases of the musculoskeletal system ,RC925-935 - Abstract
Abstract Objective Clinically, it has been found that patients undergoing knee replacement have a high incidence of concomitant hallux valgus. In this study, we analyzed whether patients with osteoarthritis who underwent surgery and those patient who did not have surgery had an increased risk of hallux valgus by Mendelian randomization and performed reverse causal analysis. Design Genomewide association study (GWAS) data for osteoarthritis, categorized by knee arthritis with joint replacement, knee arthritis without joint replacement, hip arthritis with joint replacement, and hip arthritis without joint replacement.And acquired hallux valgus were downloaded for Mendelian randomized studies. MR analysis was performed using inverse variance-weighted (IVW), weighted median, and MR-Egger methods. MR-egger regression, MR pleiotropic residuals and outliers (MR-presso), and Cochran's Q statistical methods were used to evaluate heterogeneity and pleiotropy. Results The IVW results indicate that, compared to healthy individuals, patients who meet the criteria for knee osteoarthritis joint replacement surgery have a significantly higher risk of acquired hallux valgus. There were no significant causal relationships found for the remaining results. No significant heterogeneity or multiplicity was observed in all the Mr analyses. Conclusion Our study supports the increased risk of acquired hallux valgus in patients eligible for knee replacement. There is necessary for clinicians to be concerned about the hallux valgus status of patients undergoing knee arthroplasty.
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- 2024
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153. Genetic associations of protein-coding variants in venous thromboembolism
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Xiao-Yu He, Bang-Sheng Wu, Liu Yang, Yu Guo, Yue-Ting Deng, Ze-Yu Li, Chen-Jie Fei, Wei-Shi Liu, Yi-Jun Ge, Jujiao Kang, Jianfeng Feng, Wei Cheng, Qiang Dong, and Jin-Tai Yu
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Science - Abstract
Abstract Previous genetic studies of venous thromboembolism (VTE) have been largely limited to common variants, leaving the genetic determinants relatively incomplete. We performed an exome-wide association study of VTE among 14,723 cases and 334,315 controls. Fourteen known and four novel genes (SRSF6, PHPT1, CGN, and MAP3K2) were identified through protein-coding variants, with broad replication in the FinnGen cohort. Most genes we discovered exhibited the potential to predict future VTE events in longitudinal analysis. Notably, we provide evidence for the additive contribution of rare coding variants to known genome-wide polygenic risk in shaping VTE risk. The identified genes were enriched in pathways affecting coagulation and platelet activation, along with liver-specific expression. The pleiotropic effects of these genes indicated the potential involvement of coagulation factors, blood cell traits, liver function, and immunometabolic processes in VTE pathogenesis. In conclusion, our study unveils the valuable contribution of protein-coding variants in VTE etiology and sheds new light on its risk stratification.
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- 2024
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154. Research on driving mechanism and prediction of electric power carbon emission in Gansu Province under dual-carbon target
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Fuwei Qiao, Qinzhe Yang, Wei Shi, Xuedi Yang, Guanwen Ouyang, and Lulu Zhao
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Power industry ,Carbon emissions ,Ridge regression ,Scenario prediction ,Medicine ,Science - Abstract
Abstract The electric power industry is a key industry for the country to achieve the double carbon target. Its low carbon development has a double effect on this industry and helps other industries to achieve the carbon peak target. This paper firstly uses the IPCC inventory method to calculate carbon emissions in the production phase of the power industry in Gansu Province from 2000 to 2019, followed by the ridge regression method and the STIRPAT model to analyse the quantitative impact of six major drivers on carbon emissions, and finally, the scenario analysis method is used to forecast carbon emissions in this phase. The results show that the carbon emissions of Gansu Province show a trend of rising and then falling, and reached a peak of 65.66 million tons in 2013. For every 1% increase in population effect, urbanisation level, affluence, clean energy generation share, technology level and industrial structure, carbon emissions will grow by 4.939%, 0.625%, 0.224%, − 0.259%, 0.063% and 0.022% respectively. Because of the clean energy advantage in Gansu Province, the low-carbon development scenario will continue to have low carbon emissions during the scenario cycle, which can be reduced to 53.454 million tons in 2030; the baseline scenario will achieve a carbon peak in 2025, with a peak of 62.627 million tons; the economic development scenario has not achieved carbon peak during the scenario cycle, and carbon emissions will increase to 73.223 million tons in 2030.
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- 2024
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155. Dexamethasone Induced Osteocyte Apoptosis in Steroid‐Induced Femoral Head Osteonecrosis through ROS‐Mediated Oxidative Stress
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Xinglong Zhang, Zhenhuan Yang, Qian Xu, Chunlei Xu, Wei Shi, Ran Pang, Kai Zhang, Xinyu Liang, Hui Li, Zhijun Li, and Huafeng Zhang
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apoptosis ,osteocyte ,oxidative stress ,reactive oxygen species ,steroid‐induced femoral head osteonecrosis ,Orthopedic surgery ,RD701-811 - Abstract
Objective Glucocorticoid (GC) overuse is strongly associated with steroid‐induced osteonecrosis of the femoral head (SINFH). However, the underlying mechanism of SINFH remains unclear. This study aims to investigate the effect of dexamethasone (Dex)‐induced oxidative stress on osteocyte apoptosis and the underlying mechanisms. Methods Ten patients with SINFH and 10 patients with developmental dysplasia of the hips (DDH) were enrolled in our study. Sixty rats were randomly assigned to the Control, Dex, Dex + N‐Acetyl‐L‐cysteine (NAC), Dex + Dibenziodolium chloride (DPI), NAC, and DPI groups. Magnetic resonance imaging (MRI) was used to examine edema in the femoral head of rats. Histopathological staining was performed to assess osteonecrosis. Immunofluorescence staining with TUNEL and 8‐OHdG was conducted to evaluate osteocyte apoptosis and oxidative damage. Immunohistochemical staining was carried out to detect the expression of NOX1, NOX2, and NOX4. Viability and apoptosis of MLO‐Y4 cells were measured using the CCK‐8 assay and TUNEL staining. 8‐OHdG staining was conducted to detect oxidative stress. 2′,7′‐Dichlorodihydrofluorescein diacetate (DCFH‐DA) staining was performed to measure reactive oxygen species (ROS). The expression of NOX1, NOX2, and NOX4 in MLO‐Y4 cells was analyzed by Western blotting. Multiple comparisons were performed using one‐way analysis of variance (ANOVA). Results In patients and the rat model, hematoxylin–eosin (HE) staining revealed a significantly higher rate of empty lacunae in the SINFH group than in the DDH group. Immunofluorescence staining indicated a significant increase in TUNEL‐positive cells and 8‐OHdG‐positive cells in the SINFH group compared to the DDH group. Immunohistochemical staining demonstrated a significant increase in the expression of NOX1, NOX2, and NOX4 proteins in SINFH patients compared to DDH patients. Moreover, immunohistochemical staining showed a significant increase in the proportion of NOX2‐positive cells compared to the Control group in the femoral head of rats. In vitro, Dex significantly inhibited the viability of osteocyte cells and induced apoptosis. After Dex treatment, the intracellular ROS level increased. However, Dex treatment did not alter the expression of NOX proteins in vitro. Additionally, NAC and DPI inhibited the generation of intracellular ROS and partially alleviated osteocyte apoptosis in vivo and in vitro. Conclusion This study demonstrates that GC promotes apoptosis of osteocyte cells through ROS‐induced oxidative stress. Furthermore, we found that the increased expression of NOXs induced by GC serves as an important source of ROS generation.
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- 2024
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156. Breaking the strength-ductility trade-off via heterogeneous structure in FeCoCrNiMo0.2 high-entropy alloy
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Fei Chen, Fei Liu, Yuan-Biao Tan, Wei Shi, and Song Xiang
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High-entropy alloys ,Heterogeneous structure ,Strength and ductility ,Trade-off ,σ precipitates ,Mining engineering. Metallurgy ,TN1-997 - Abstract
The synergistic effect between heterogeneous structures has been proved to enhance the strength and plasticity of alloys, especially in the context of single-phase face-centered cubic (FCC) high-entropy alloys with low stacking fault energy. This study explores the synergistic effects of heterogeneous structures on the strength and plasticity of single-phase FCC FeCoCrNiMo0.2 high-entropy alloys. Through a combination of cryogenic rolling and annealing at 1000 °C for 0.5 h (RA-1000), the alloy demonstrates exceptional strength-ductility synergy and work-hardening ability. The heterogeneous structure comprises fine grains, nano-scale rich- (Cr, Mo) σ phase, and high-density annealing twins. The interaction of σ precipitation and FCC matrix induces heterogeneous deformation-induced strengthening (HDI), while annealing twins and stacking faults act as barriers to dislocation movement, enhancing strength and ductility through a dynamic Hall-Petch effect. Additionally, chemically ordered structures, ordered L12 phase, and type 63 topologically close-packed phases in RA-1000 alloys contribute to improved strain hardening via anti-phase boundaries. This work provides valuable insights for designing multi-scale heterogeneous structures to strengthen high-entropy alloys.
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- 2024
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157. Post-mastectomy hypofractionated versus conventionally fractionated radiation therapy for patients receiving immediate breast reconstruction: Subgroup analysis of a phase III randomized trial
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Xiaomeng Zhang, Xiaofang Wang, Yajuan Chu, Li Zhang, Jin Meng, Wei Shi, Xingxing Chen, Zhaozhi Yang, Xin Mei, Xiaoli Yu, Miao Mo, Zhen Zhang, Guangyu Liu, Jiong Wu, Zhimin Shao, Xiaomao Guo, and Jinli Ma
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Medical physics. Medical radiology. Nuclear medicine ,R895-920 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Published
- 2025
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158. Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification
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Zeng, Chenghua, Lu, Huijuan, Chen, Kanghao, Wang, Ruixuan, and Zheng, Wei-Shi
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Data imbalance between common and rare diseases during model training often causes intelligent diagnosis systems to have biased predictions towards common diseases. The state-of-the-art approaches apply a two-stage learning framework to alleviate the class-imbalance issue, where the first stage focuses on training of a general feature extractor and the second stage focuses on fine-tuning the classifier head for class rebalancing. However, existing two-stage approaches do not consider the fine-grained property between different diseases, often causing the first stage less effective for medical image classification than for natural image classification tasks. In this study, we propose embedding metric learning into the first stage of the two-stage framework specially to help the feature extractor learn to extract more discriminative feature representations. Extensive experiments mainly on three medical image datasets show that the proposed approach consistently outperforms existing onestage and two-stage approaches, suggesting that metric learning can be used as an effective plug-in component in the two-stage framework for fine-grained class-imbalanced image classification tasks.
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- 2022
159. PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification
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Chen, Kanghao, Lei, Weixian, Zhang, Rong, Zhao, Shen, Zheng, Wei-shi, and Wang, Ruixuan
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Imbalanced training data is a significant challenge for medical image classification. In this study, we propose a novel Progressive Class-Center Triplet (PCCT) framework to alleviate the class imbalance issue particularly for diagnosis of rare diseases, mainly by carefully designing the triplet sampling strategy and the triplet loss formation. Specifically, the PCCT framework includes two successive stages. In the first stage, PCCT trains the diagnosis system via a class-balanced triplet loss to coarsely separate distributions of different classes. In the second stage, the PCCT framework further improves the diagnosis system via a class-center involved triplet loss to cause a more compact distribution for each class. For the class-balanced triplet loss, triplets are sampled equally for each class at each training iteration, thus alleviating the imbalanced data issue. For the class-center involved triplet loss, the positive and negative samples in each triplet are replaced by their corresponding class centers, which enforces data representations of the same class closer to the class center. Furthermore, the class-center involved triplet loss is extended to the pair-wise ranking loss and the quadruplet loss, which demonstrates the generalization of the proposed framework. Extensive experiments support that the PCCT framework works effectively for medical image classification with imbalanced training images. On two skin image datasets and one chest X-ray dataset, the proposed approach respectively obtains the mean F1 score 86.2, 65.2, and 90.66 over all classes and 81.4, 63.87, and 81.92 for rare classes, achieving state-of-the-art performance and outperforming the widely used methods for the class imbalance issue.
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- 2022
160. STVGFormer: Spatio-Temporal Video Grounding with Static-Dynamic Cross-Modal Understanding
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Lin, Zihang, Tan, Chaolei, Hu, Jian-Fang, Jin, Zhi, Ye, Tiancai, and Zheng, Wei-Shi
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Computer Science - Computer Vision and Pattern Recognition - Abstract
In this technical report, we introduce our solution to human-centric spatio-temporal video grounding task. We propose a concise and effective framework named STVGFormer, which models spatiotemporal visual-linguistic dependencies with a static branch and a dynamic branch. The static branch performs cross-modal understanding in a single frame and learns to localize the target object spatially according to intra-frame visual cues like object appearances. The dynamic branch performs cross-modal understanding across multiple frames. It learns to predict the starting and ending time of the target moment according to dynamic visual cues like motions. Both the static and dynamic branches are designed as cross-modal transformers. We further design a novel static-dynamic interaction block to enable the static and dynamic branches to transfer useful and complementary information from each other, which is shown to be effective to improve the prediction on hard cases. Our proposed method achieved 39.6% vIoU and won the first place in the HC-STVG track of the 4th Person in Context Challenge., Comment: Technical report. The 1st place solution in the HC-STVG track of the 4th Person in Context Challenge(2022)
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- 2022
161. Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography
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Zheng, Yaojia, Liu, Zhouwu, Mo, Rong, Chen, Ziyi, Zheng, Wei-shi, and Wang, Ruixuan
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Computer Science - Machine Learning ,Electrical Engineering and Systems Science - Signal Processing - Abstract
Accurate automated analysis of electroencephalography (EEG) would largely help clinicians effectively monitor and diagnose patients with various brain diseases. Compared to supervised learning with labelled disease EEG data which can train a model to analyze specific diseases but would fail to monitor previously unseen statuses, anomaly detection based on only normal EEGs can detect any potential anomaly in new EEGs. Different from existing anomaly detection strategies which do not consider any property of unavailable abnormal data during model development, a task-oriented self-supervised learning approach is proposed here which makes use of available normal EEGs and expert knowledge about abnormal EEGs to train a more effective feature extractor for the subsequent development of anomaly detector. In addition, a specific two branch convolutional neural network with larger kernels is designed as the feature extractor such that it can more easily extract both larger scale and small-scale features which often appear in unavailable abnormal EEGs. The effectively designed and trained feature extractor has shown to be able to extract better feature representations from EEGs for development of anomaly detector based on normal data and future anomaly detection for new EEGs, as demonstrated on three EEG datasets. The code is available at https://github.com/ironing/EEG-AD.
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- 2022
162. Weakly-Supervised Temporal Action Localization by Progressive Complementary Learning
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Du, Jia-Run, Feng, Jia-Chang, Lin, Kun-Yu, Hong, Fa-Ting, Wu, Xiao-Ming, Qi, Zhongang, Shan, Ying, and Zheng, Wei-Shi
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Weakly Supervised Temporal Action Localization (WSTAL) aims to localize and classify action instances in long untrimmed videos with only video-level category labels. Due to the lack of snippet-level supervision for indicating action boundaries, previous methods typically assign pseudo labels for unlabeled snippets. However, since some action instances of different categories are visually similar, it is non-trivial to exactly label the (usually) one action category for a snippet, and incorrect pseudo labels would impair the localization performance. To address this problem, we propose a novel method from a category exclusion perspective, named Progressive Complementary Learning (ProCL), which gradually enhances the snippet-level supervision. Our method is inspired by the fact that video-level labels precisely indicate the categories that all snippets surely do not belong to, which is ignored by previous works. Accordingly, we first exclude these surely non-existent categories by a complementary learning loss. And then, we introduce the background-aware pseudo complementary labeling in order to exclude more categories for snippets of less ambiguity. Furthermore, for the remaining ambiguous snippets, we attempt to reduce the ambiguity by distinguishing foreground actions from the background. Extensive experimental results show that our method achieves new state-of-the-art performance on two popular benchmarks, namely THUMOS14 and ActivityNet1.3.
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- 2022
163. SNN2ANN: A Fast and Memory-Efficient Training Framework for Spiking Neural Networks
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Tang, Jianxiong, Lai, Jianhuang, Xie, Xiaohua, Yang, Lingxiao, and Zheng, Wei-Shi
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Computer Science - Neural and Evolutionary Computing ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
Spiking neural networks are efficient computation models for low-power environments. Spike-based BP algorithms and ANN-to-SNN (ANN2SNN) conversions are successful techniques for SNN training. Nevertheless, the spike-base BP training is slow and requires large memory costs. Though ANN2NN provides a low-cost way to train SNNs, it requires many inference steps to mimic the well-trained ANN for good performance. In this paper, we propose a SNN-to-ANN (SNN2ANN) framework to train the SNN in a fast and memory-efficient way. The SNN2ANN consists of 2 components: a) a weight sharing architecture between ANN and SNN and b) spiking mapping units. Firstly, the architecture trains the weight-sharing parameters on the ANN branch, resulting in fast training and low memory costs for SNN. Secondly, the spiking mapping units ensure that the activation values of the ANN are the spiking features. As a result, the classification error of the SNN can be optimized by training the ANN branch. Besides, we design an adaptive threshold adjustment (ATA) algorithm to address the noisy spike problem. Experiment results show that our SNN2ANN-based models perform well on the benchmark datasets (CIFAR10, CIFAR100, and Tiny-ImageNet). Moreover, the SNN2ANN can achieve comparable accuracy under 0.625x time steps, 0.377x training time, 0.27x GPU memory costs, and 0.33x spike activities of the Spike-based BP model.
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- 2022
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164. Validation Study of the Newly Proposed Refined Diagnostic Criteria for Malignant Phyllodes Tumor With 136 Borderline and Malignant Phyllodes Tumor Cases
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Li, Xiaoxian, Nguyen, Thi Truc Anh, Zhang, Jilun, Nayak, Anupma, Liu, Yi, Duckworth, Lauren A., Zhang, Gloria, Bakkar, Rania, Agarwal, Indu, Hou, Yanjun, Guo, Hua, Huang, Xiao, Wei, Shi, Yasmeen, Sayeeda, Thaer, Khoury, Huang, Huifeng, Zhang, Huina, Smith, Geoffrey Hughes, Turashvili, Gulisa, Peng, Limin, Liu, Yueping, Yang, Wentao, and Siziopikou, Kalliopi P.
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- 2024
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165. Monitoring the Amazon River plume from satellite observations
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Wei Shi and Menghua Wang
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Amazon River ,ocean color ,sea surface salinity ,remote sensing ,SMAP ,VIIRS ,Mathematical geography. Cartography ,GA1-1776 ,Environmental sciences ,GE1-350 - Abstract
Most of our knowledge about the Amazon River plume is limited from the field experiments or modeling due to various challenges for satellite remote sensing, i.e., constant cloud coverage, atmospheric correction, and difficulties to differentiate the Amazon River plume from normal Atlantic Ocean water. In this study, observations of ocean properties from the Visible Infrared Imaging Radiometer Suite (VIIRS) and sea surface salinity (SSS) from the Soil Moisture Active Passive (SMAP) missions in 2021 are used as an example to demonstrate the capability to monitor the Amazon River plume on daily basis and characterize the change of the ocean environment driven by the offshoots and migration of the plume in the western tropical Atlantic Ocean. The start, development, evolvement, dispersion, and dissipation of the Amazon River plume in 2021 in the western tropical Atlantic Ocean were effectively monitored. The extensive influence of the Amazon River runoff mostly occurred between June and November. The water diffuse attenuation coefficient at 490 nm (Kd(490)) and SSS were significantly impacted by the Amazon River plume in the vast region of the western tropical Atlantic Ocean. The routes of the Amazon River plume that flowed into the Atlantic Ocean were highly variable. High turbidity, low salinity plume water with Kd(490) reaching ~1.0 m−1 and SSS ~25 practical salinity unit (psu) was found in a region over 500 km from the Amazon River Estuary. The comparison of the Amazon River plume in 2020 and 2022 further shows the complication of the driving forcing and inter-annual variability of the Amazon River plume. The combination of gap-free satellite ocean color and SSS observations provided a new tool to monitor the short-term variability of the Amazon River plume and assess its seasonal and interannual impact on the ocean environment in the western tropical Atlantic Ocean.
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- 2024
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166. Seroprevalence of tetanus and pertussis antibodies among health care workers in Wuhu, China
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Wei Shi, Bingsong Wang, Qinghong Meng, Xianlai Zhang, Zhen Li, Fang He, Fei Ying, Linyan Cong, and Kaihu Yao
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Seroprevalence ,pertussis ,tetanus ,health care workers ,vaccination ,Immunologic diseases. Allergy ,RC581-607 ,Therapeutics. Pharmacology ,RM1-950 - Abstract
ABSTRACTThis study aimed to elucidate the seroprevalence of antibodies to tetanus and pertussis among Chinese health care workers. Blood specimens from health care workers were collected during the 2021 annual medical examination at the First People’s Hospital of Wuhu. Commercial ELISA kits were employed to quantify serum IgG antibodies against tetanus toxin (anti-TT IgG) and both IgG and IgA antibodies against pertussis toxin (anti-PT IgG, anti-PT IgA). A concentration of anti-TT IgG exceeding 0.1 IU/ml was deemed seroprotective against tetanus, while concentrations of anti-PT IgG ≥ 50 IU/ml or anti-PT IgA ≥ 15 IU/ml were indicative of a prior pertussis infection. The overall seroprotective rate for anti-TT IgG stood at 10.43% (92/882), with the highest seroprotective rate (13.91%) in the 20–29 age group, followed by the 30–39 age group (10.57%), 40–49 age group (5.80%), and 50–59 age group (5.63%). Eighteen (2.04%) of the studied subjects were positive to anti-PT IgG, and the positive rate in 20–39 age group and 40–59 age group was 1.19% (8/673) and 4.78% (10/209), respectively. Thirty (3.40%) subjects displayed anti-PT IgG levels ≥100 IU/ml and/or anti-PT IgA ≥ 15 IU/ml, suggesting a recent pertussis infection within the preceding year. Over half (503/882, 57.03%) had undetectable anti-PT IgG antibodies. The majority of health care workers in China appear susceptible to tetanus and pertussis, and a significant subset has experienced pertussis infection. The implementation of booster vaccinations against these diseases for Chinese health care workers is recommended.
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- 2024
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167. Dysregulated CXCL12 expression in osteoblasts promotes B-lymphocytes preferentially homing to the bone marrow in MRL/lpr mice
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Wenjuan Zheng, Yu Tang, Mengwei Cheng, Cui Ma, Xiaoming Fei, and Wei Shi
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SLE ,CXCL12 ,B cells ,bone marrow ,osteoblasts ,Internal medicine ,RC31-1245 - Abstract
AbstractObjective: Todetect the abnormal distribution of B-lymphocytes between peripheral and bone marrow (BM) compartments and explore the mechanism of abnormal chemotaxis of B-lymphocytes in lupus subjects. Methods: The proportions of CXC chemokine receptor (CXCR)4+ B cells and CFDA-labeled MRL/lpr-derived B cells were detected by flow cytometry. The levels of CXC chemokine ligand (CXCL)12in peripheral blood (PB)were measured by ELISA. The migrated B cells to osteoblasts (OBs) was measured by transwell migration assay. The relative spatial position of B cells, OBs and CXCL12 was presented by Immunofluorescence assay. Results: Firstly, we found that the percentage of CXCR4+ B cells was lower in PB and higher in the BM from both MRL/lpr mice and patientswith Systemic lupus erythematosus (SLE). Secondly, OBs from MRL/lpr mice produced more CXCL12 than that from C57BL/6 mice. Besides, MRL/lpr-derived OBs demonstrated more potent chemotactic ability toward B-lymphocytes than control OBs by vitro an vivo. Additionally, more B-lymphocytes were found to co-localize with OBs within the periosteal zone of bone in MRL/lpr mice. Lastly, the percentages of CXCR4+B cells were found to be negatively correlated with serum Immunoglobulin (Ig) G concentration, moreover, BM CXCL12 levels were found to be positively correlated with SLE disease activity index Score and negatively correlated with serum Complement3 (C3) concentration. Conclusions: our results indicated that there is a shifted distribution of B-lymphocytes between BM and peripheral compartments in both SLE patients and MRL/lpr mice. Besides, the up-regulated levels of CXCL12 in OBs was indicated to contribute to the enhanced chemotactic migration and anchorage of B-lymphocytes to OBs.
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- 2024
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168. Dupliumab therapy for alopecia areata: a case series and review of the literature
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Jundong Huang, Jia Jian, Tingting Li, Min Li, Kaifu Luo, Sihan Deng, Yan Tang, Fangfen Liu, Zhixiang Zhao, Wei Shi, and Ji Li
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Alopecia areata ,dupilumab ,treatment ,effectiveness ,atopy ,Dermatology ,RL1-803 - Abstract
AbstractBackground A growing body of research supports the important role of the TH2 axis in alopecia areata (AA). Dupilumab is a humanized monoclonal antibody against IL-4Rα that downregulates TH2 response. Although efficacy has been shown in clinical trials, real-world data on the use of dupilumab in AA patients is limited.Objectives To report on a case series of 10 patients with AA who were treated with dupilumab and provide real-world evidence regarding its efficacy in treating severe AA.Methods In this retrospective single-center study, all AA patients treated with dupilumab treatment were included between May 2022 and October 2023. Clinical outcome measures (Severity of Alopecia Tool, SALT) and adverse events (AEs) were analyzed. In addition, a literature review was conducted to summarize the efficacy of AA with dupilumab and the characteristics of patients previously reported in the literature.Results We identified 10 patients with AA who were or are being treated with dupilumab, with a median (range) treatment duration of 8 (3-15) months. Of these, four patients have high serum immunoglobulin E (IgE) levels (≥200IU/ml). The mean (IQR) pretreatment SALT score was 79% (52-100). Seven of 10 patients achieved at least 50% re-growth. Of those who improved, the mean (IQR) percentage change in SALT score at 3 months and the end of follow-up was 57% (29%-89%) and 95% (68-100), respectively. Notably, seven patients (70%) had white hair regrowth, with the white hair slowly decreasing over time and the proportion of pigmented black hair increasing. Dupilumab was well tolerated by all patients. No adverse events were reported.Conclusions Overall, our research supports dupilumab as another candidate that possesses potential benefits for AA. High levels of IgE may be not prerequisites for dupilumab’s successful treatment response.
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- 2024
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169. Single-Mode VCSEL with Zn-Diffusion Apertures and Strong Immunity Against Optical Feedback for Improved Data Transmission.
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Min-Long Wu, Cheng-Wei Lin, and Jin-Wei Shi
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- 2024
170. 33.9 A Miniature Neural Interface Implant with a 95% Charging Efficiency Optical Stimulator and an 81.9dB SNDR ΔΣM-Based Recording Frontend.
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Linran Zhao, Wei Shi, Yan Gong, Xiang Liu, Wen Li 0004, and Yaoyao Jia
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- 2024
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171. Genetic Manifestations and Phenotype Spectrum in Infants With Feeding Difficulty
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Mingyu Han, Wei Shi, Xiangxiang Chen, Dingwen Wu, Yi Sun, Weiyan Wang, Canyang Zhan, Lingling Hu, and Tianming Yuan
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clinical manifestations ,feeding difficulty ,multiple malformation ,rare genetic disease ,whole‐exome sequencing (WES) ,Genetics ,QH426-470 - Abstract
ABSTRACT Background Feeding difficulties frequently co‐occur with multisystem disorders attributed to rare genetic diseases. In this study, we aimed to describe the genetic manifestations and phenotype spectrum in infants experiencing feeding difficulties. Methods This case series included infants under 6 months old with feeding difficulties admitted to the neonatal department of Children's Hospital, Zhejiang University School of Medicine from October 2018 to May 2022. All infants underwent whole‐exome sequencing (WES) during hospitalisation, and their clinical phenotypes and genetic results were analyzed. Results Among 28 infants studied, nine were preterm and 19 were full‐term. Median admission age was 13.5 days (IQR 6.5, 35), with a median hospital stay of 16 days (IQR 10.5, 30). Overall, 12 (42.9%) cases were complicated with multiple malformations. Abnormal muscle tone (53.6%) and neurological issues (42.9%) were notable prevalent in these infants. Cranial MR abnormalities were noted in 96.2% of cases. Based on the combined analysis of WES results and clinical phenotypes, a total of 22 (78.3%) patients displayed disease‐related genetic variation identified through WES; among them, 15 (53.6%) patients received genetic diagnoses, while 7 (25%) patients were suspected diagnoses. Positive findings were more frequent in full‐term (89.5%) than preterm infants (55.6%). Ultimately, 24 (85.7%) patients were discharged alive, with 75% requiring post‐discharge tube feeding. Following discharge, five patients developed new symptoms linked to genetic variants, and two patients died. Conclusions Feeding difficulty may constitute a facet of the phenotypic spectrum of rare genetic diseases. Whole‐exome sequencing can enhance molecular diagnosis accuracy for infants with feeding difficulties.
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- 2024
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172. Comprehensive analysis of cuproptosis-related ceRNA network and immune infiltration in diabetic kidney disease
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Fang Lan, Jie Zhao, Dan Liang, Chao Mo, and Wei Shi
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Diabetic kidney disease ,Cuproptosis ,ceRNA network ,Immune infiltration ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
Background: Diabetic kidney disease (DKD) is the primary contributor to renal failure and poses a severe threat to human health. Accumulating studies demonstrated that competing endogenous RNA (ceRNA) network is involved in cuproptosis and DKD progression. However, the role of cuproptosis-associated ceRNA network and immune infiltration in DKD remains largely unclear. This study aimed to investigate the cuproptosis-related ceRNA regulation network and immune infiltration in DKD. Methods: The rat model of DKD was induced by combining the nephrectomy of the left kidney, high-fat diet, and streptozotocin. Differentially expressed genes (DEGs), miRNAs (DEMs), and lncRNAs (DELs) between normal and DKD rats were obtained. DEGs were intersected with cuproptosis-related genes (CRGs) to obtain DE-CRGs. LncRNAs and miRNAs were predicted based on the DE-CRGs, and they were intersected with DEMs and DELs, respectively. Subsequently, a cuproptosis-associated lncRNA-miRNA-mRNA network was established in DKD. In addition, the relative proportion of 22 infiltrating immune cell types in each sample was calculated, and the relationship between hub DE-CRGs and immune cells was explored. Results: In total, there were 429 DEGs, 22 DEMs, and 48 DELs between CON and MOD groups. Then, 73 DE-CRGs were obtained, which were significantly enriched in 22 pathways, such as MAPK signaling pathway, IL-17 signaling pathway, and TNF signaling pathway. In addition, a core cuproptosis-related ceRNA network that included one lncRNA (USR0000B2476D), one miRNA (miR-34a-3p), and eight mRNAs (Mmp9, Pik3c3, Prom1, Snta1, Slc51b, Ntrk3, Snca, Egf) was established. In addition, 18 hub DE-CRGs were obtained. CIBERSORT algorithms showed that resting dendritic cells and resting NK cells were more infiltrated whereas regulatory T cells were less infiltrated in DKD rats than in normal rats. Spearman's correlation analysis revealed that hub DE-CRGs showed significant positive or negative correlations with naive B cells, regulatory T cells, resting NK cells, M0 macrophages, resting dendritic cells, and resting mast cells. Conclusion: A ceRNA network was comprehensively constructed, and 18 hub DE-CRGs were obtained, which will provide novel insights into the pathologic mechanism elucidation and targeted therapy development of DKD.
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- 2024
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173. Corrigendum: Analysis of factors associated with positive surgical margins and the five-year survival rate after prostate cancer resection and predictive modeling
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Kai Li, Yantao Zhang, Sinan Tian, Qingguo Su, Yanhui Mei, Wei Shi, Jingyuan Cao, and Lijuan Song
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prostate cancer ,radical prostatectomy (RP) ,survival time ,logistic model ,receiver operating characteristic curve (ROC curve) ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Published
- 2024
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174. Mutant TP53 switches therapeutic vulnerability during gastric cancer progression within interleukin-6 family cytokines
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Anne Huber, Amr H. Allam, Christine Dijkstra, Stefan Thiem, Jennifer Huynh, Ashleigh R. Poh, Joshua Konecnik, Saumya P. Jacob, Rita Busuttil, Yang Liao, David Chisanga, Wei Shi, Mariah G. Alorro, Stephen Forrow, Daniele V.F. Tauriello, Eduard Batlle, Alex Boussioutas, David S. Williams, Michael Buchert, Matthias Ernst, and Moritz F. Eissmann
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CP: Cancer ,Biology (General) ,QH301-705.5 - Abstract
Summary: Although aberrant activation of the KRAS and PI3K pathway alongside TP53 mutations account for frequent aberrations in human gastric cancers, neither the sequence nor the individual contributions of these mutations have been clarified. Here, we establish an allelic series of mice to afford conditional expression in the glandular epithelium of KrasG12D;Pik3caH1047R or Trp53R172H and/or ablation of Pten or Trp53. We find that KrasG12D;Pik3caH1047R is sufficient to induce adenomas and that lesions progress to carcinoma when also harboring Pten deletions. An additional challenge with either Trp53 loss- or gain-of-function alleles further accelerated tumor progression and triggered metastatic disease. While tumor-intrinsic STAT3 signaling in response to gp130 family cytokines remained as a gatekeeper for all stages of tumor development, metastatic progression required a mutant Trp53-induced interleukin (IL)-11 to IL-6 dependency switch. Consistent with the poorer survival of patients with high IL-6 expression, we identify IL-6/STAT3 signaling as a therapeutic vulnerability for TP53-mutant gastric cancer.
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- 2024
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175. Schisandrin C enhances type I IFN response activation to reduce tumor growth and sensitize chemotherapy through antitumor immunity
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Huijie Yang, Xiaoyan Zhan, Jia Zhao, Wei Shi, Tingting Liu, Ziying Wei, Hui Li, Xiaorong Hou, Wenqing Mu, Yuanyuan Chen, Congyang Zheng, Zhongxia Wang, Shengli Wei, Xiaohe Xiao, and Zhaofang Bai
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Schisandrin C ,cGAS-STING pathway ,antitumor immunity ,type I interferon ,CD8+ T cell ,NK cell ,Therapeutics. Pharmacology ,RM1-950 - Abstract
With the advancing comprehension of immunology, an increasing number of immunotherapies are being explored and implemented in the field of cancer treatment. The cGAS-STING pathway, a crucial element of the innate immune response, has been identified as pivotal in cancer immunotherapy. We evaluated the antitumor effects of Schisandra chinensis lignan component Schisandrin C (SC) in 4T1 and MC38 tumor-bearing mice, and studied the enhancing effects of SC on the cGAS-STING pathway and antitumor immunity through RNA sequencing, qRT-PCR, and flow cytometry. Our findings revealed that SC significantly inhibited tumor growth in models of both breast and colon cancer. This suppression of tumor growth was attributed to the activation of type I IFN response and the augmented presence of T cells and NK cells within the tumor. Additionally, SC markedly promoted the cGAS-STING pathway activation induced by cisplatin. In comparison to cisplatin monotherapy, the combined treatment of SC and cisplatin exhibited a greater inhibitory effect on tumor growth. The amplified chemotherapeutic efficacy was associated with an enhanced type I IFN response and strengthened antitumor immunity. SC was shown to reduce tumor growth and increase chemotherapy sensitivity by enhancing the type I IFN response activation and boosting antitumor immunity, which enriched the research into the antitumor immunity of S. chinensis and laid a theoretical basis for its application in combating breast and colon cancer.
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- 2024
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176. Canagliflozin attenuates post-resuscitation myocardial dysfunction in diabetic rats by inhibiting autophagy through the PI3K/Akt/mTOR pathway
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Qihui Huang, Wei Shi, Minjie Wang, Liangliang Zhang, Yijun Zhang, Yan Hu, Sinong Pan, Bingrui Ling, Huaqing Zhu, Wenyan Xiao, Tianfeng Hua, and Min Yang
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cardiovascular medicine ,human metabolism ,Science - Abstract
Summary: This study investigated the effects of canagliflozin on myocardial dysfunction after cardiac arrest and cardiopulmonary resuscitation in diabetic rats and the underlying mechanisms. Male rats with type 2 diabetes mellitus (T2DM) were subjected to a modified epicardial fibrillation model. Pretreatment with canagliflozin (10 mg/kg/day) for four weeks improved ATP levels, post-resuscitation ejection fraction, acidosis, and hemodynamics. Canagliflozin also reduced myocardial edema, mitochondrial damage and, post-resuscitation autophagy levels. In vitro analyses showed that canagliflozin significantly reduced reactive oxygen species and preserved mitochondrial membrane potential. Using the PI3K/Akt pathway inhibitor Ly294002, canagliflozin was shown to attenuate hyperautophagy and cardiac injury induced by high glucose and hypoxia-reoxygenation through activation of the PI3K/Akt/mTOR pathway. This study highlights the therapeutic potential of canagliflozin in post-resuscitation myocardial dysfunction in diabetes, providing new insights for clinical treatment and experimental research.
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- 2024
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177. Bioinspired stiff–soft gradient network structure for high-performance impact-resistant elastomers
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Jin Huang, Hangsheng Zhou, Li Zhang, Hao Zha, Wei Shi, Tianyi Zhao, and Mingjie Liu
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Bioinspiration ,Gradient structure ,Impact-resistant elastomers ,High damping ,Large-scale modulus span ,Science (General) ,Q1-390 - Abstract
Traditional impact-resistance materials relying on the combination of supporting materials and energy-dissipation elastomers can effectively reduce shock load, yet the sharp interface between two types of materials causes discontinuous stress transfer and cracking. Here, inspired by the squid beak, we report a type of high impact-resistance gradient elastomers with large-scale modulus gradient with about three orders of magnitude (modulus range of 7 × 103 ∼ 7 × 106 Pa) and high energy dissipation (loss factor > 0.6) over a wide temperature range by diffusively introducing stiff polymers in a highly damping elastomer with controlled mechanical properties. Under the action of an external force, our gradient elastomers exhibit soft-while-stiff attributes, combining cushioning and support. In drop hammer impact tests, our gradient materials can reduce impact strength by 80 %, significantly better than commercial protective gear. It is worth mentioning that the modulus of the bottom layer matches that of the tissues for better protection.
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- 2024
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178. Exome sequencing identifies novel genetic variants associated with varicose veins.
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Dan-Dan Zhang, Xiao-Yu He, Liu Yang, Bang-Sheng Wu, Yan Fu, Wei-Shi Liu, Yu Guo, Chen-Jie Fei, Ju-Jiao Kang, Jian-Feng Feng, Wei Cheng, Lan Tan, and Jin-Tai Yu
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Genetics ,QH426-470 - Abstract
BackgroundVaricose veins (VV) are one of the common human diseases, but the role of genetics in its development is not fully understood.MethodsWe conducted an exome-wide association study of VV using whole-exome sequencing data from the UK Biobank, and focused on common and rare variants using single-variant association analysis and gene-level collapsing analysis.FindingsA total of 13,823,269 autosomal genetic variants were obtained after quality control. We identified 36 VV-related independent common variants mapping to 34 genes by single-variant analysis and three rare variant genes (PIEZO1, ECE1, FBLN7) by collapsing analysis, and most associations between genes and VV were replicated in FinnGen. PIEZO1 was the closest gene associated with VV (P = 5.05 × 10-31), and it was found to reach exome-wide significance in both single-variant and collapsing analyses. Two novel rare variant genes (ECE1 and METTL21A) associated with VV were identified, of which METTL21A was associated only with females. The pleiotropic effects of VV-related genes suggested that body size, inflammation, and pulmonary function are strongly associated with the development of VV.ConclusionsOur findings highlight the importance of causal genes for VV and provide new directions for treatment.
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- 2024
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179. Case Report: Infant-onset Degos disease with nervous system involvement and a literature review
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Xin-Wei Shi, Jiang-Hong Deng, and Cai-Feng Li
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Degos disease ,malignant atrophic papulosis ,infantile onset ,neurological involvement ,prognosis ,Pediatrics ,RJ1-570 - Abstract
Degos disease also known as malignant atrophic papulosis (MAP), is an autoinflammatory disease that mainly affects small- to medium-sized arteries. Gastrointestinal and nervous system are most commonly affected systems. Herein, we reported a case of Degos disease with disease onset during infantile and had severe neurological involvement.
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- 2024
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180. Effects of intercropping and regulated deficit irrigation on the yield, water and land resource utilization, and economic benefits of forage maize in arid region of Northwest China
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Maojian Wang, Wei Shi, Muhammad Kamran, Shenghua Chang, Qianmin Jia, and Fujiang Hou
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Forage maize ,Intercropping ,Regulated deficit irrigation ,Hay yield ,Water productivity ,Agriculture (General) ,S1-972 ,Agricultural industries ,HD9000-9495 - Abstract
Intercropping has been widely recognized to have great advantages in terms of increasing yield, controlling pests and diseases, and saving land, particularly in developing countries. Regulated deficit irrigation reduces water consumption and improves water productivity (WP). However, it is unclear whether the combination of intercropping and deficit irrigation could improve crop yield and WP simultaneously. In this experiment, three planting modes, including forage maize (Zea mays L.) monoculture (M), lablab bean (Lablab purpureus L.) monoculture (L), and maize-lablab bean intercropping (ML) were used. Six irrigation modes were set for each planting mode, including severe water deficit (W1), late water deficit (W2), alternate water deficit (W3), late moderate water deficit (W4), early moderate water deficit (W5), and full irrigation (W6). Results showed that compared with M, the ML treatment significantly increased the fresh forage yield (9.8%–17.0%), hay yield (9.5%–13.1%), crude protein yield (22.9%–25.9%), and WP (7.8%–8.7%). The W5 treatment achieved similar fresh forage yield, hay yield, and crude protein yield as that of the W6 treatment but reduced irrigation water by 25% and increased the WP (21.9%–24.8%). Intercropping achieved a high-water equivalence ratio (WER;1.52–1.81) and land equivalence ratio (LER;1.56–1.84), indicating its advantages over monocultures. The W6 treatment had the lowest WER and LER, suggesting that excessive irrigation can reduce the efficiency of utilizing land and water resource in maze-based forage production. Among all treatments, ML–W5 achieved the highest net income and output to input ratio. Overall, intercropping of forage maize and lablab bean with moderate deficit irrigation at an early stage could be used as a high-yield and efficient forage production system in the arid areas of northwest China.
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- 2024
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181. Roles of Akirin1 in early prediction and treatment of graft kidney ischemia‒reperfusion injury
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Xinyuan Li, Guo Chen, Xiang Zhou, Xiang Peng, Mao Li, Daihui Chen, Haitao Yu, Wei Shi, Chunlin Zhang, Yang Li, Zhenwei Feng, Yuhua Mei, Li Li, Simin Liang, Weiyang He, Xin Gou, and Jie Li
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composite materials ,dielectric materials ,doping ,electric breakdown ,electrical conductivity ,Medical technology ,R855-855.5 - Abstract
Abstract Ferroptosis is a predominant contributor to graft kidney ischemia‒reperfusion injury (IRI), resulting in delayed graft function (DGF). However, much less is known about the early predicting biomarkers and therapeutic targets of DGF, especially aiming at ferroptosis. Here, we propose a precise predicting model for DGF, relying on the Akirin1 level in extracellular vesicles (EVs) derived from recipient urine 48 h after kidney transplant. In addition, we decipher a new molecular mechanism whereby Akirin1 induces ferroptosis by strengthening TP53‐mediated suppression of SLC7A11 during the graft kidney IRI process, that is, Akirin1 activates the EGR1/TP53 axis and inhibits MDM2‐mediated TP53 ubiquitination, accordingly upregulating TP53 in two ways. Meanwhile, we present the first evidence that miR‐136‐5p enriched in EVs secreted by human umbilical cord mesenchymal stem cells (UM‐EVs) confers robust protection against ferroptosis and graft kidney IRI by targeted inhibition of Akirin1 but knockout of miR‐136‐5p in UM sharply mitigates the protection of UM‐EVs. The functional and mechanistic regulation of Akirin1 is further corroborated in an allograft kidney transplant model in wild‐type and Akirin1‐knockout mice. In summary, these findings suggest that Akirin1, which prominently induces ferroptosis, is a pivotal biomarker and target for early diagnosis and treatment of graft kidney IRI and DGF after kidney transplant.
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- 2024
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182. Suicidal ideation and suicide attempts among students aged 12 to 24 after the lifting of COVID-19 restrictions in China: prevalence and associated factors
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Qing-Qing Xiao, Xue-Hua Huang, Jing Yang, Yun-Fei Mu, Cong Wang, Zhong-Yue Deng, Jia Cai, Ai-Ping Deng, Wan-Jie Tang, Xia-Can Chen, Wei Shi, Yi Jiang, Jia-Jun Xu, Li Yin, Yi Huang, Wei Zhang, and Mao-Sheng Ran
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suicidal ideation ,suicide attempts ,adolescent and young adults ,lifting of COVID-19 restrictions ,prevalence ,associated factors ,Psychiatry ,RC435-571 - Abstract
ObjectiveTo investigate the prevalence and associated factors of suicidal ideation and suicide attempts among adolescent and young adults in China from December 14, 2022 to February 28, 2023, when COVID-19 restrictions were lifted.MethodsStudents in middle and high schools and colleges and universities in the province of Sichuan, China were asked to complete on-line cross-sectional surveys. Information was collected about sociodemographics, experiences related to the COVID-19 pandemic, suicidal ideation and suicide attempts. Participants also filled out the Patient Health Questionnaire-9, the Generalized Anxiety Disorder-7 and the Social Support Rate Scale surveys. Factors associated with suicidal ideation or suicide attempts were explored using logistic regression.ResultsOf the 82,873 respondents (aged 12 to 24 years), 21,292 (25.7%) reported having thought of suicide at least once in their lifetime, 10,382 (12.5%) reported having thought about suicide within the previous 12 months, and 1,123 (1.4%) reported having attempted it within the previous 12 months. Risk of lifetime suicidal ideation was higher among middle school students than among older students. Risk of suicidal ideation and risk of suicide attempts correlated directly with severity of symptoms of depression and anxiety, and inversely with level of social support. Greater risk of suicidal ideation and suicidal attempts was associated with: being female, living in an urban environment, attending a boarding school, currently being in love, having parents who divorced or remarried, having parents who exhibit non-authoritative parenting behavior, having higher family income, having been COVID-19 infected, having been quarantined for a long time, and being dissatisfied with one’s education.ConclusionsSuicidal ideation and suicide attempts remain prevalent among young people in China. The potential associated factors identified in our study may be useful for targeting appropriate psychosocial interventions and developing mental health policies.
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- 2024
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183. Defective mesenchymal Bmpr1a-mediated BMP signaling causes congenital pulmonary cysts
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Yongfeng Luo, Ke Cao, Joanne Chiu, Hui Chen, Hong-Jun Wang, Matthew E Thornton, Brendan H Grubbs, Martin Kolb, Michael S Parmacek, Yuji Mishina, and Wei Shi
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BMP signaling ,lung mesenchymal cells ,pulmonary cysts ,lung development ,Bmpr1a ,airway smooth muscle cells ,Medicine ,Science ,Biology (General) ,QH301-705.5 - Abstract
Abnormal lung development can cause congenital pulmonary cysts, the mechanisms of which remain largely unknown. Although the cystic lesions are believed to result directly from disrupted airway epithelial cell growth, the extent to which developmental defects in lung mesenchymal cells contribute to abnormal airway epithelial cell growth and subsequent cystic lesions has not been thoroughly examined. In the present study using genetic mouse models, we dissected the roles of bone morphogenetic protein (BMP) receptor 1a (Bmpr1a)-mediated BMP signaling in lung mesenchyme during prenatal lung development and discovered that abrogation of mesenchymal Bmpr1a disrupted normal lung branching morphogenesis, leading to the formation of prenatal pulmonary cystic lesions. Severe deficiency of airway smooth muscle cells and subepithelial elastin fibers were found in the cystic airways of the mesenchymal Bmpr1a knockout lungs. In addition, ectopic mesenchymal expression of BMP ligands and airway epithelial perturbation of the Sox2-Sox9 proximal-distal axis were detected in the mesenchymal Bmpr1a knockout lungs. However, deletion of Smad1/5, two major BMP signaling downstream effectors, from the lung mesenchyme did not phenocopy the cystic abnormalities observed in the mesenchymal Bmpr1a knockout lungs, suggesting that a Smad-independent mechanism contributes to prenatal pulmonary cystic lesions. These findings reveal for the first time the role of mesenchymal BMP signaling in lung development and a potential pathogenic mechanism underlying congenital pulmonary cysts.
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- 2024
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184. Historical spread routes of wild walnuts in Central Asia shaped by man-made and nature
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Xuerong Li, Xiyong Wang, Daoyuan Zhang, Junhua Huang, Wei Shi, and Jiancheng Wang
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Juglans regia ,SNP ,population genomics ,gene flow ,genetic differentiation ,Plant culture ,SB1-1110 - Abstract
Walnuts have substantial economic value and are of significant interest being a wild-cultivated species. The study has re-sequenced the entire genome of the wild walnut, aligning it with the walnut reference genome, to identify 2,021,717 single nucleotide polymorphisms (SNPs). These were used to examine the genetics of 130 wild walnut samples collected from three countries. Utilizing structural and principal component analysis, the walnut samples from Central Asia were classified into four populations: Ili ah in Xinjiang (I), Dushanbe region in Tajikistan (II), Sary-Chelek, Arslanbob in Kara-Alma regions of Kyrgyzstan (III), and Kok-Tundy region of Kyrgyzstan (IV). The 4 groups showed large differences in nucleotide diversity, population differentiation, and linkage disequilibrium decay, as well as gene flow among them. The present geographic distribution of these populations does not align with the genetic distribution pattern as the populations of Central Asian wild walnuts have experienced similar population dynamics in the past, i.e., the highest effective population size at ca. 6 Ma, two sharp population declines at 6 and 0.2 Ma, and convergence at ca. 0.2 Ma. The genetic distribution patterns are better explained by human activity, notably through archaeological findings of walnut use and the influence of the Silk Road, rather than by current geographic distributions.
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- 2024
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185. Analysis of factors associated with positive surgical margins and the five-year survival rate after prostate cancer resection and predictive modeling
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Kai Li, Yantao Zhang, Sinan Tian, Qingguo Su, Yanhui Mei, Wei Shi, Jingyuan Cao, and Lijuan Song
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prostate cancer ,radical prostatectomy (RP) ,survival time ,logistic model ,receiver operating characteristic curve (ROC curve) ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
BackgroundThis study analyzed the risk factors associated with positive surgical margins (PSM) and five-year survival after prostate cancer resection to construct a positive margin prediction model.MethodsWe retrospectively analyzed the clinical data of 148 patients treated with prostatectomy. The patients were divided into PSM group and Negative surgical margins (NSM) group. Several parameters were compared between the groups. All patients were followed up for 60 months. The risk factors for PSM and five-year survival were evaluated by univariate analysis, followed by multifactorial dichotomous logistic regression analysis. Finally, ROC curves were plotted for the risk factors to establish a predictive model for PSM after prostate cancer resection.Results(1) Serum PSA, percentage of positive puncture stitches, clinical stage, surgical approach, Gleason score on puncture biopsy, and perineural invasion were significantly associated with the risk of PSM (P < 0.05). Serum PSA, perineural invasion, Gleason score on puncture biopsy, and percentage of positive puncture stitches were independent risk factors for PSM. (2) Total prostate-specific antigen (tPSA) by puncture, nutritional status, lymph node metastasis, bone metastasis, and seminal vesicle invasion may be risk factors for five-year survival. Lymph node metastasis and nutritional status were the main risk factors for the five-year survival of patients with prostate cancer. (3) After plotting the ROC curve, the area under the curve (AUC) [AUC: 0.776, 95%, confidence interval (CI): 0.725 to 0.854] was found to be a valid predictor of PSM; the AUC [AUC: 0.664, 95%, confidence interval (CI): 0.576 to 0.753] was also a valid predictor of five-year survival (P < 0.05). (4) The scoring system had a standard error of 0.02 and a cut-off value of 6. It predicted PSM after prostate cancer resection with moderate efficacy.ConclusionsSerum PSA, perineural invasion, puncture biopsy Gleason score, and percentage of positive puncture stitches were independent risk factors for positive surgical margins (PSM). Also, lymph node metastasis and nutritional status were the main risk factors for the five-year survival of patients with prostate cancer. Overall, the prediction efficacy of this scoring system concerning the risk of PSM after prostate cancer resection was moderate.
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- 2024
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186. Shenfu injection alleviate gut ischemia/reperfusion injury after severe hemorrhagic shock through improving intestinal microcirculation in rats
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Tianfeng Hua, Zongqing Lu, Minjie Wang, Yijun Zhang, Yuqian Chu, Yue Liu, Wenyan Xiao, Wuming Zhou, Xuanxuan Cui, Wei Shi, Jin Zhang, and Min Yang
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Hemorrhagic shock ,Ischemia-reperfusion injury ,Resuscitation ,Shenfu injection ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
Background: Shenfu (SF) injection, a traditional Chinese medication, would improve microcirculation in cardiogenic shock and infectious shock. This study was aimed to explore the therapeutic potential of the SF injection in gut ischemia-reperfusion (I/R) injury after severe hemorrhagic shock (SHS) and resuscitation. Furthermore, we also investigated the optimal adm? inistration timing. Methods: Twenty-four male SD rats were randomly divided into four groups: Sham group (sham, n = 6), Control group (n = 6), SF injection group (SF, n = 6), and Delayed Shenfu injection administration group (SF-delay, n = 6). In SHS and resuscitation model, rats were induced by blood draw to a mean arterial pressure (MAP) of 40 ± 5 mmHg within 1 h and then maintained for 40 min; HR, MAP ‘were recorded, microcirculation index [De Backer score, perfused small vessel density (PSVD), total vessel density (TVD), microcirculation flow index score (MFI), flow heterogeneity index (HI)] were analyzed. The blood gas index was detected, interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), diamine oxidase (DAO), malondialdehyde (MDA) were measured by ELISA; ZO-1, and claudin-1 were measured by Western blotting. In addition, hematoxylin-eosin (HE) and periodic acid schiff (PAS) staining pathological sections of the intestinal mucosal tissues were also performed. Results: SF injection increased the MAP, relieved the metabolic acidosis degree associated with the hypoperfusion, and improved the intestinal microcirculatory density and perfusion quality after I/R injury. The expression of DAO, MDA in intestinal tissue, and plasma IL-6, TNF-α significantly decreased in the SF injection group compared to the control group. The concentration of ZO-1 and claudin-1 is also higher in the SF injection group. In addition, the HE and PAS staining results also showed that SF injection could decrease mucosal damage and maintain the structure. In the SF-delay group, the degree of intestinal tissue damage was intermediate between that of the control group and SF injection group. Conclusions: SF injection protect the intestine from I/R injury induced by SHS and resuscitation, the mechanism of which might be through improving intestinal microcirculation, reducing the excessive release of inflammatory factors and increasing intestinal mucosal permeability. Furthermore, the protection effect is more pronounced if administration during the initial resuscitation phase.
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- 2024
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187. QCSH: a Full Quantum Computer Nuclear Shell-Model Package
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Lv, Peng, Wei, Shi-Jie, Xie, Hao-Nan, and Long, Gui-Lu
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Quantum Physics ,Nuclear Theory - Abstract
Nucleus is a typical many-body quantum system. Full calculation of a nuclear system in a classical computer is far beyond the capacity of current classical computers. With fast development of hardware, the prospect of using quantum computers in nuclear physics is closing. Here, we report a full quantum package, QCSH, for solving nuclear shell-model in a quantum computer. QCSH uses the linear combination of unitaries formalism of quantum computing, and performs all calculations in a quantum computer. The complexities of qubit resource, number of basic gates of QCSH, are both polynomial to the nuclear size. QCSH can already provide meaningful results in the near term. As examples, the binding energies of twelve light nuclei, $^{2}$H, $^{3}$H, $^{3}$He, $^{4}$He, $^{6}$Li, $^{7}$Li, $^{12}$C, $^{14}$N, $^{16}$O, $^{17}$O, $^{23}$Na and $^{40}$Ca are calculated using QCSH in a classical quantum emulator. The binding energy of Deuteron has already been experimentally studied using QCSH on a superconducting quantum computing device. QCSH not only works in near-term quantum devices, but also in future large-scale quantum computers. With the development of quantum devices, nuclear system constitutes another promising area for demonstrating practical quantum advantage.
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- 2022
188. Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor
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Yang, Yang, Cui, Zhiying, Xu, Junjie, Zhong, Changhong, Zheng, Wei-Shi, and Wang, Ruixuan
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Computer Science - Machine Learning ,Computer Science - Computer Vision and Pattern Recognition - Abstract
Deep learning has shown its human-level performance in various applications. However, current deep learning models are characterised by catastrophic forgetting of old knowledge when learning new classes. This poses a challenge particularly in intelligent diagnosis systems where initially only training data of a limited number of diseases are available. In this case, updating the intelligent system with data of new diseases would inevitably downgrade its performance on previously learned diseases. Inspired by the process of learning new knowledge in human brains, we propose a Bayesian generative model for continual learning built on a fixed pre-trained feature extractor. In this model, knowledge of each old class can be compactly represented by a collection of statistical distributions, e.g. with Gaussian mixture models, and naturally kept from forgetting in continual learning over time. Unlike existing class-incremental learning methods, the proposed approach is not sensitive to the continual learning process and can be additionally well applied to the data-incremental learning scenario. Experiments on multiple medical and natural image classification tasks showed that the proposed approach outperforms state-of-the-art approaches which even keep some images of old classes during continual learning of new classes.
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- 2022
189. Cross-Camera Trajectories Help Person Retrieval in a Camera Network
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Zhang, Xin, Xie, Xiaohua, Lai, Jianhuang, and Zheng, Wei-Shi
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence - Abstract
We are concerned with retrieving a query person from multiple videos captured by a non-overlapping camera network. Existing methods often rely on purely visual matching or consider temporal constraints but ignore the spatial information of the camera network. To address this issue, we propose a pedestrian retrieval framework based on cross-camera trajectory generation, which integrates both temporal and spatial information. To obtain pedestrian trajectories, we propose a novel cross-camera spatio-temporal model that integrates pedestrians' walking habits and the path layout between cameras to form a joint probability distribution. Such a spatio-temporal model among a camera network can be specified using sparsely sampled pedestrian data. Based on the spatio-temporal model, cross-camera trajectories can be extracted by the conditional random field model and further optimized by restricted non-negative matrix factorization. Finally, a trajectory re-ranking technique is proposed to improve the pedestrian retrieval results. To verify the effectiveness of our method, we construct the first cross-camera pedestrian trajectory dataset, the Person Trajectory Dataset, in real surveillance scenarios. Extensive experiments verify the effectiveness and robustness of the proposed method., Comment: IEEE Transactions on Image Processing (TIP), 2023
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- 2022
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190. Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data
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Tang, Yu-Ming, Peng, Yi-Xing, and Zheng, Wei-Shi
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Deep neural network (DNN) suffers from catastrophic forgetting when learning incrementally, which greatly limits its applications. Although maintaining a handful of samples (called `exemplars`) of each task could alleviate forgetting to some extent, existing methods are still limited by the small number of exemplars since these exemplars are too few to carry enough task-specific knowledge, and therefore the forgetting remains. To overcome this problem, we propose to `imagine` diverse counterparts of given exemplars referring to the abundant semantic-irrelevant information from unlabeled data. Specifically, we develop a learnable feature generator to diversify exemplars by adaptively generating diverse counterparts of exemplars based on semantic information from exemplars and semantically-irrelevant information from unlabeled data. We introduce semantic contrastive learning to enforce the generated samples to be semantic consistent with exemplars and perform semanticdecoupling contrastive learning to encourage diversity of generated samples. The diverse generated samples could effectively prevent DNN from forgetting when learning new tasks. Our method does not bring any extra inference cost and outperforms state-of-the-art methods on two benchmarks CIFAR-100 and ImageNet-Subset by a clear margin., Comment: Accepted to CVPR2022
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- 2022
191. Quantum gradient descent algorithms for nonequilibrium steady states and linear algebraic systems
- Author
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Liang, Jin-Min, Wei, Shi-Jie, and Fei, Shao-Ming
- Subjects
Quantum Physics ,Mathematical Physics - Abstract
The gradient descent approach is the key ingredient in variational quantum algorithms and machine learning tasks, which is an optimization algorithm for finding a local minimum of an objective function. The quantum versions of gradient descent have been investigated and implemented in calculating molecular ground states and optimizing polynomial functions. Based on the quantum gradient descent algorithm and Choi-Jamiolkowski isomorphism, we present approaches to simulate efficiently the nonequilibrium steady states of Markovian open quantum many-body systems. Two strategies are developed to evaluate the expectation values of physical observables on the nonequilibrium steady states. Moreover, we adapt the quantum gradient descent algorithm to solve linear algebra problems including linear systems of equations and matrix-vector multiplications, by converting these algebraic problems into the simulations of closed quantum systems with well-defined Hamiltonians. Detailed examples are given to test numerically the effectiveness of the proposed algorithms for the dissipative quantum transverse Ising models and matrix-vector multiplications., Comment: 12 pages, 4 figures
- Published
- 2022
- Full Text
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192. SIOD: Single Instance Annotated Per Category Per Image for Object Detection
- Author
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Li, Hanjun, Pan, Xingjia, Yan, Ke, Tang, Fan, and Zheng, Wei-Shi
- Subjects
Computer Science - Computer Vision and Pattern Recognition - Abstract
Object detection under imperfect data receives great attention recently. Weakly supervised object detection (WSOD) suffers from severe localization issues due to the lack of instance-level annotation, while semi-supervised object detection (SSOD) remains challenging led by the inter-image discrepancy between labeled and unlabeled data. In this study, we propose the Single Instance annotated Object Detection (SIOD), requiring only one instance annotation for each existing category in an image. Degraded from inter-task (WSOD) or inter-image (SSOD) discrepancies to the intra-image discrepancy, SIOD provides more reliable and rich prior knowledge for mining the rest of unlabeled instances and trades off the annotation cost and performance. Under the SIOD setting, we propose a simple yet effective framework, termed Dual-Mining (DMiner), which consists of a Similarity-based Pseudo Label Generating module (SPLG) and a Pixel-level Group Contrastive Learning module (PGCL). SPLG firstly mines latent instances from feature representation space to alleviate the annotation missing problem. To avoid being misled by inaccurate pseudo labels, we propose PGCL to boost the tolerance to false pseudo labels. Extensive experiments on MS COCO verify the feasibility of the SIOD setting and the superiority of the proposed method, which obtains consistent and significant improvements compared to baseline methods and achieves comparable results with fully supervised object detection (FSOD) methods with only 40% instances annotated., Comment: CVPR2022
- Published
- 2022
193. Unpaired Image Captioning by Image-level Weakly-Supervised Visual Concept Recognition
- Author
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Zhu, Peipei, Wang, Xiao, Luo, Yong, Sun, Zhenglong, Zheng, Wei-Shi, Wang, Yaowei, and Chen, Changwen
- Subjects
Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Computation and Language - Abstract
The goal of unpaired image captioning (UIC) is to describe images without using image-caption pairs in the training phase. Although challenging, we except the task can be accomplished by leveraging a training set of images aligned with visual concepts. Most existing studies use off-the-shelf algorithms to obtain the visual concepts because the Bounding Box (BBox) labels or relationship-triplet labels used for the training are expensive to acquire. In order to resolve the problem in expensive annotations, we propose a novel approach to achieve cost-effective UIC. Specifically, we adopt image-level labels for the optimization of the UIC model in a weakly-supervised manner. For each image, we assume that only the image-level labels are available without specific locations and numbers. The image-level labels are utilized to train a weakly-supervised object recognition model to extract object information (e.g., instance) in an image, and the extracted instances are adopted to infer the relationships among different objects based on an enhanced graph neural network (GNN). The proposed approach achieves comparable or even better performance compared with previous methods without the expensive cost of annotations. Furthermore, we design an unrecognized object (UnO) loss combined with a visual concept reward to improve the alignment of the inferred object and relationship information with the images. It can effectively alleviate the issue encountered by existing UIC models about generating sentences with nonexistent objects. To the best of our knowledge, this is the first attempt to solve the problem of Weakly-Supervised visual concept recognition for UIC (WS-UIC) based only on image-level labels. Extensive experiments have been carried out to demonstrate that the proposed WS-UIC model achieves inspiring results on the COCO dataset while significantly reducing the cost of labeling., Comment: 13 pages, 11 figures, 6 tables
- Published
- 2022
194. Rivaroxaban in the treatment of livedoid vasculopathy: A long-term retrospective study
- Author
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Sihan Deng, BS, Yu Liu, BS, Jundong Huang, BS, and Wei Shi, MD, PhD
- Subjects
anticoagulant ,coagulopathy ,livedoid vasculopathy ,rivaroxaban ,vasculopathy ,Dermatology ,RL1-803 - Published
- 2024
- Full Text
- View/download PDF
195. Design of chromium-vanadium steel based on design loop combining property-oriented design criteria and machine learning prediction model
- Author
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Liu, Yuan, Wei, Shi-Zhong, and Jiang, Tao
- Published
- 2024
- Full Text
- View/download PDF
196. The developmental pattern related to fatty acid uptake and oxidation in the yolk sac membrane and jejunum during embryogenesis in Muscovy duck
- Author
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Li, Hao, Zhang, Xiufen, Wang, Xiaowen, Wu, Qilin, Zheng, Wenxuan, Liu, Chuang, Wei, Shi, Zuo, Xin, Xiao, Wenquan, Ye, Hui, Wang, Wence, Yang, Lin, and Zhu, Yongwen
- Published
- 2024
- Full Text
- View/download PDF
197. A Multi-Level Relation-Aware Transformer model for occluded person re-identification
- Author
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Lin, Guorong, Bao, Zhiqiang, Huang, Zhenhua, Li, Zuoyong, Zheng, Wei-shi, and Chen, Yunwen
- Published
- 2024
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198. Surface engineering of 1D Na-doped Pd/WO3 nanorods for chemiresistive H2 sensing
- Author
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Yang, Xuan-Yu, Chen, Hao-Nan, Yue, Li-Juan, Gong, Fei-Long, Xie, Ke-Feng, Wei, Shi-Zhong, and Zhang, Yong-Hui
- Published
- 2025
- Full Text
- View/download PDF
199. Distilling consistent relations for multi-source domain adaptive person re-identification
- Author
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Xian, Yuqiao, Peng, Yi-Xing, Sun, Xing, and Zheng, Wei-Shi
- Published
- 2025
- Full Text
- View/download PDF
200. Ultrasonic microbubbles promote mesenchymal stem cell homing to the fibrotic liver via upregulation of CXCR4 expression
- Author
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Heming Xu, Yize Huang, Fasu Zhang, Wei Shi, Yan Cheng, Kai Yang, Pingping Tian, Fei Zhou, Yuan Wang, Xueqing Fang, Youliang Song, Bo Liu, and Liwei Liu
- Subjects
Mesenchymal stem cell ,Ultrasound microbubble ,Liver fibrosis ,Homing ,CXCR4 ,Preface ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 ,Cytology ,QH573-671 - Abstract
Abstract Objective To investigate the mechanism of ultrasound microbubbles (UTMB) promoting stem cells homing to fibrotic liver. Methods Bone marrow derived mesenchymal stem cells (BMSCs) were divided into 5 groups with or without ultrasound microbubbles and continuously irradiated with ultrasound conditions of frequency 1 MHZ and output power 0.6 W/cm2 for different times, and then injected into a mouse model of liver fibrosis through the tail vein with or without ultrasound microbubbles, with sound intensity. The effect of ultrasound microbubbles on MSC expression of CXC chemokine receptor 4 (CXCR4) and homing fibrotic liver was evaluated by flow cytometry (FCM), western blot (WB) and immunohistochemistry (IHC) analysis. Results The level of CXCR4 expression was significantly higher in the ultrasound microbubble group than in the non-intervention group (P
- Published
- 2024
- Full Text
- View/download PDF
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