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| 1 | Disease profile and plasma neutralizing activity of postvaccination Omicron BA.1 infection in Tianjin,China:a retrospective study显示文摘Dear Editor,SARS-CoV-2 Omicron variant BA.1 first emerged on the Chinese mainland on January 8,2022,in Tianjin and caused a large wave of infections.1 Four rounds of mass testing of its~14 million residents were launched on January 9,12,15,and 20,respectively.As of February 7,2022,a total of 430 individuals were tested positive for Omicron BA.1,with no new infections detected for the following 16 days.In the Chinese mainland,the most delivered vaccines are inactivated vaccines.As of January 8,2022,up to 93.2%of Tianjin’s residents had been vaccinated with at least one dose.2 We investigated the protection conferred by vaccination against Omicron BA.1 by examining the breakthrough infections among vaccinees as compared with unvaccinated cases.Our study population comprised all 430 cases during the outbreak of Omicron BA.1 in Tianjin. | Hong Zheng Yunlong Cao Xiaosu Chen Fengmei Wang Ye Hu Weiliang Song Yangyang Chai Qingqing Gu Yansong Shi Yingmei Feng Shuxun Liu Yan Xie Xiaoliang Sunney Xie Wentao Jiang Zhongyang Shen | 2022 | Cell Research2022，32，8： | 12 |
| 2 | Detecting broiler chickens on litter floor with the YOLOv5-CBAM deep learning model显示文摘For commercial broiler production,about 20,000–30,000 birds are raised in each confined house,which has caused growing public concerns on animal welfare.Currently,daily evaluation of broiler wellbeing and growth is conducted manually,which is labor-intensive and subjectively subject to human error.Therefore,there is a need for an automatic tool to detect and analyze the behaviors of chickens and predict their welfare status.In this study,we developed a YOLOv5-CBAM-broiler model and tested its performance for detecting broilers on litter floor.The proposed model consisted of two parts:(1)basic YOLOv5 model for bird or broiler feature extraction and object detection;and(2)the convolutional block attention module(CBAM)to improve the feature extraction capability of the network and the problem of missed detection of occluded targets and small targets.A complex dataset of broiler chicken images at different ages,multiple pens and scenes(fresh litter versus reused litter)was constructed to evaluate the effectiveness of the new model.In addition,the model was compared to the Faster R-CNN,SSD,YOLOv3,EfficientDet and YOLOv5 models.The results demonstrate that the precision,recall,F1 score and an mAP@0.5 of the proposed method were 97.3%,92.3%,94.7%,and 96.5%,which were superior to the comparison models.In addition,comparing the detection effects in different scenes,the YOLOv5-CBAM model was still better than the comparison method.Overall,the proposed YOLOv5-CBAM-broiler model can achieve real-time accurate and fast target detection and provide technical support for the management and monitoring of birds in commercial broiler houses. | Yangyang Guo Samuel E.Aggrey Xiao Yang Adelumola Oladeinde Yongliang Qiao Lilong Chai | 2023 | Artificial Intelligence in Agriculture2023，，3： | 1 |
| 3 | Bioleaching mechanism of heavy metals in the mixture of contaminated soil and slag by using indigenous Penicillium chrysogenum strain F1显示文摘 | Xinhui Deng Liyuan Chai Zhihui Yang Chongjian Tang Yangyang Wang Yan Shi | 2013 | Journal of Hazardous Materials2013，，： | 1 |
| 4 | Innate immune imprints in SARS-CoV-2 Omicron variant infection convalescents显示文摘SARS-CoV-2 Omicron variant infection generally gives rise to asymptomatic to moderate COVID-19 in vaccinated people.The immune cells can be reprogrammed or“imprinted”by vaccination and infections to generate protective immunity against subsequent challenges.Considering the immune imprint in Omicron infection is unclear,here we delineate the innate immune landscape of human Omicron infection via single-cell RNA sequencing,surface proteome profiling,and plasma cytokine quantification.We found that monocyte responses predominated in immune imprints of Omicron convalescents,with IL-1β-associated and interferon(IFN)-responsive signatures with mild and moderate symptoms,respectively.Low-density neutrophils increased and exhibited IL-1β-associated and IFN-responsive signatures similarly.Mild convalescents had increased blood IL-1β,CCL4,IL-9 levels and PI3+neutrophils,indicating a bias to IL-1βresponsiveness,while moderate convalescents had increased blood CXCL10 and IFN-responsive monocytes,suggesting durative IFN responses.Therefore,IL-1β-or IFN-responsiveness of myeloid cells may indicate the disease severity of Omicron infection and mediate post-COVID conditions. | Zhiqing Li Xiaosu Chen Junyan Dan Tianju Hu Ye Hu Shuxun Liu Yangyang Chai Yansong Shi Jian Wu Hailai Ni Jiaqi Zhu Yanfeng Wu Nan Li Yizhi Yu Zhongfang Wang Jincun Zhao Nanshan Zhong Xianwen Ren Zhongyang Shen Xuetao Cao | 2022 | Signal Transduction and Targeted Therapy2022，7，12： | 0 |
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