769 results on '"Li, Si"'
Search Results
2. Bacterial Symbionts Contribute to Insecticide Susceptibility of Diaphorina citri via Changing the Expression Level of Host Detoxifying Genes.
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Pan, Qi, Yu, Shi-Jiang, Lei, Shuang, Zhang, Shao-Hui, Ding, Li-Li, Liu, Liu, Li, Si-Chen, Wang, Xue-Feng, Lou, Bing-Hai, and Ran, Chun
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- 2024
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3. Directed Aromatic Deuteration and Tritiation of Pharmaceuticals by Heavy Alkali Metal Amide Catalysts.
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Du, Hui-Zhen, Li, Jingwei, Christodoulou, Stella, Li, Si-Yuan, Cui, Yun-Shu, Wu, Junliang, Ren, Sumei, Maron, Laurent, Shi, Zhang-Jie, and Guan, Bing-Tao
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- 2024
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4. Nitrogen and Sulfur Co-doped Biomass-Derived Porous Carbon Electrodes for Ultra-High-Performance All-Aqueous Thermally Regenerative Flow Batteries.
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Li, Si, Wang, Yuyang, Shi, Yu, Zhang, Liang, Li, Jun, Zhu, Xun, and Liao, Qiang
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- 2024
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5. Perovskite Quantum Heterostructure Constructed by Halide Mixing between a Single CsPbI3 Nanocrystal and an Individual CsPbBr3 Microplate.
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Yuan, Junyang, Hu, Fengrui, Ju, Yu, Li, Si, Zhao, Hao, Zhang, Chunfeng, Gan, Zhixing, Xiao, Min, and Wang, Xiaoyong
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- 2024
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6. Chemical Flexibility of Atomically Precise Metal Clusters.
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Li, Si, Li, Na-Na, Dong, Xi-Yan, Zang, Shuang-Quan, and Mak, Thomas C. W.
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- 2024
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7. Fingerprinting the source and complex history of ore fluids of a giant lode gold deposit using quartz textures and in-situ oxygen isotopes
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Fan, Gao-Hua, Li, Jian-Wei, Robinson, Paul T., Wu, Ya-Fei, Deng, Xiao-Dong, Wang, Fang-Yue, Gao, Wen-Sheng, Li, Si-Yuan, and Fan, Liang
- Abstract
Determining the source and history of hydrothermal fluids are key to better understanding the genesis of lode gold deposits. However, it is difficult to rigorously constrain the fluid history because the fluids typically have a prolonged and complicated history that may obscure the original source signature. We integrate textural characterization, trace element geochemistry, and in situ oxygen isotope analyses of quartz covering three major paragenetic stages of the world-class Dongping lode gold deposit to fingerprint the ore-fluid source and document the deposit’s complex hydrothermal history. Six quartz generations were identified from three paragenetic stages. They consistently display small to large ranges in δ18O values from 13.1 to 0.6‰ (VSMOW), which correspond to calculated δ18O values of 7.4 to –6.0‰ for the quartz-forming fluids. These isotope data are intermediate between the δ18O ranges of magmatic fluids and meteoric water and thus are best interpreted in terms of episodic fluxes of magmatically derived fluids and their subsequent mixing with variable proportions of external meteoric water. Our results highlight the important role of magmatic hydrothermal fluids and their mixing with meteoric water to form the giant Dongping gold deposit. Given the high abundance of quartz that typically spans the entire mineralization process of lode gold deposits, we envisage the versatility and reliability of in situ oxygen isotope analysis of well-characterized quartz in deciphering the origin and complex evolution history of gold-forming fluids.
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- 2024
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8. Identification and Functional Characterization of Carboxylesterase Genes Involved in Spirodiclofen Resistance in Panonychus citri(McGregor)
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Yang, Qi-qi, Li, Si-chen, Cui, Yang-yang, Huang, Ze-hao, Cheng, Lu-yan, Zhang, Shao-hui, Wu, Zhen, Yu, Shi-jiang, Pan, Qi, Ding, Li-li, Lei, Shuang, Liu, Liu, Cong, Lin, and Ran, Chun
- Abstract
Overexpression of carboxyl/cholinesterase (CCE) genes has been reported to be associated with many cases of pesticide resistance in arthropods. However, it has been rarely documented that CCEgenes participate in spirodiclofen resistance in Panonychus citri. In previous research, we found that spirodiclofen resistance is related to increased P450 and CCE enzyme activities in P. citri. In this study, we identified two CCEgenes, PcCCE3and PcCCE5, which were significantly upregulated in spirodiclofen-resistant strain and after exposure to spirodiclofen. RNA interference of PcCCE3and PcCCE5increased the spirodiclofen susceptibility in P. citri. In vitro metabolism indicated that PcCCE3 and PcCCE5 could interact with spirodiclofen, but metabolites were detected only in the PcCCE3 treatment. Our results indicated that PcCCE3 participates in spirodiclofen resistance through direct metabolism, and PcCCE5 may be involved in the spirodiclofen resistance by passive binding and sequestration, which provides new insights into spirodiclofen resistance in P. citri.
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- 2024
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9. Preparation, Characterization of Zirconium Phosphate Composites and Their Adsorption Properties of Phenolic Wastewater
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Liu, Xue-Li, Li, Si-Jin, Sun, Ya-Li, and Wang, Lan-Lan
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Abstract: In this study, a series of organic amine-intercalated α-ZrP were prepared. The crystal phase, structures and properties of these intercalated compounds were analyzed and characterized using several analysis methods. The interlayer distance of organic amine-intercalated α-ZrP has increased regularly along with the increase of chain elongation of organic amine. The composites were applied to adsorb phenol from wastewater. The adsorption equilibrium, kinetics, and dynamic adsorption of phenol onto intercalated α-ZrP were studied. Adsorption isotherms of phenol were determined at different temperatures, and they were well fitted to the Freundlich equation (R
2 > 0.99), and the corresponding maximum adsorption capacity of phenol was 0.832 mmol/g. Batch kinetic experiments revealed that the adsorption process followed a quasi-second-order kinetic model. The dynamic adsorption revealed that the adsorption capacity for phenol increased with the increase in temperature. The adsorption process was rapid and equilibrium was reached within 30 min. When the adsorption dosage is 0.1 g/15 mL, the adsorption yield for 10 mmol/L phenol solution can reach 61.2%.- Published
- 2024
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10. A High Common-Mode Transient Immunity GaN-on-SOI Gate Driver With Quad-Drive Control Technique for High dV/dt 1700-V SiC Power Switch
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Hung, Sheng-Hsi, Wang, Tz-Wun, Li, Si-Yi, Hung, Wei-Chien, Hsu, Ya-Ting, Chen, Ke-Horng, Zheng, Kuo-Lin, Lin, Ying-Hsi, Lin, Shian-Ru, and Tsai, Tsung-Yen
- Abstract
This article proposes a gallium nitride (GaN)-based isolated silicon carbide (SiC) MOSFET gate driver with an on-chip metal–insulator–metal (MIM) capacitor that has high data rate and low propagation delay. The improved common-mode transient immunity (CMTI) envelope detection technique eliminates the common-mode current (
$I_{\mathrm {CM}}$ $\mu \text{s}$ $V_{\mathrm {IN}}$ $V_{\mathrm {IN}}$ - Published
- 2024
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11. Blood Calcium, Genetic Risk, and Risk of Incident Kidney Stone: A Population-Based Cohort Study
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Cao, Xi, Li, Si, Guan, Yunlong, Shao, Zhonghe, Jiang, Minghui, Wang, Miao, and Hao, Xingjie
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To investigate the association between blood calcium concentration and incident kidney stone as well as to assess the role played by genetic susceptibility.
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- 2024
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12. Lowering systolic blood pressure to less than 120 mm Hg versus less than 140 mm Hg in patients with high cardiovascular risk with and without diabetes or previous stroke: an open-label, blinded-outcome, randomised trial
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Liu, Jiamin, Li, Yan, Ge, Jinzhuo, Yan, Xiaofang, Zhang, Haibo, Zheng, Xin, Lu, Jiapeng, Li, Xi, Gao, Yan, Lei, Lubi, Liu, Jing, Li, Jing, Ai, Xinyue, An, Chun, An, Yuhong, Bai, Shiru, Bai, Xueke, Bi, Jingao, Bin, Xiaoling, Bu, Miaomiao, Bu, Peili, Bu, Wei, Cai, Lvping, Cai, Nana, Cai, Shuhui, Cai, Ting, Cai, Wenjing, Cao, Bin, Cao, Bingbing, Cao, Huaping, Cao, Libo, Cao, Xiancun, Chai, Hui, Chai, Yonggui, Chai, Zhiyong, Chang, Chunduo, Chang, Jianbao, Chang, Shuyue, Chang, Yunling, Chao, Huanhuan, Che, Hang, Che, Qianqiu, Chen, Danlin, Chen, Dongsheng, Chen, Faxiu, Chen, Guang, Chen, Hairong, Chen, Hao, Chen, Huahua, Chen, Huijun, Chen, Jiafu, Chen, Jian, Chen, Jian, Chen, Jiasen, Chen, Jing, Chen, Jinzi, Chen, Junrong, Chen, lichun, Chen, Lijuan, Chen, Liyuan, Chen, Qun, Chen, Run, Chen, Shaoxing, Chen, Song, Chen, Tieshuang, Chen, Xianghong, Chen, Xiaowu, Chen, Xudong, Chen, Xue, Chen, Xunchun, Chen, Yao, Chen, Yongli, Chen, Yuanyue, Chen, Yuhong, Chen, Yuyi, Chen, Zhangying, Chen, Zhidong, Chen, Zuyi, Cheng, Caiming, Cheng, Jianbin, Cheng, Xiaoxia, Chu, Junjie, Cui, Ruifeng, Cui, Xiaolin, Cui, Xuechen, Cui, Yang, Cui, Zhonghua, Dai, Wanhong, Dai, Xing, Ding, Chunxia, Ding, Huihong, Ding, Qiuhong, Ding, Yaozong, Ding, Yingjie, Dong, Jiajia, Dong, Lei, Dong, Qi, Dong, Yumei, Du, Bing, Du, Hong, Du, Jie, Du, Laijing, Du, Meiling, Du, Qiong, Du, Tianmin, Du, Xue, Duan, Ru, Duan, Xiaojing, Duan, Xiaoting, Fan, Dandan, Fan, Xiaohong, Fan, Xin, Fang, Fang, Fang, Jing, Fang, Xibo, Fang, Yang, Feng, Erke, Feng, Hejin, Feng, Ling, Feng, Rui, Feng, Zhaohui, Fu, Hongmei, Fu, Qiuai, Gao, Haofei, Gao, Li, Gao, Lina, Gao, Liwei, Gao, Lu, Gao, Min, Gao, Min, Gao, Qian, Gao, Yan, Gao, Yuan, Ge, Jinzhuo, Geng, Hongxu, Geng, Hui, Geng, Leijun, Geng, Lianqing, Gou, Hongyan, Gu, Qin, Guan, Lili, Guan, Shuo, Guan, Wenchi, Guan, Zheng, Guang, Bin, Guo, Anran, Guo, Changhong, Guo, Gaofeng, Guo, Lizhi, Guo, Qing, Guo, Qiue, Guo, Ying, Guo, Zhihua, Han, Aihong, Han, Meihong, Han, Suhui, Han, Xinru, Han, Yajun, Hao, Feng, Hao, Jingmin, Hao, Shiguo, He, Chuanhui, He, Dejian, He, Mengyuan, He, Miaomiao, He, Shaojuan, He, Wenkai, He, Xiaoyu, He, Yuxiang, Hong, Jige, Hou, Chuanxing, Hou, Jing, Hu, Danli, Hu, Jian, Hu, Jun, Hu, Lingai, Hu, Mengying, Hu, Zhiyuan, Huang, Anhui, Huang, Chunxia, Huang, Haolin, Huang, Jianlan, Huang, Sha, Huang, Siqi, Huang, Weijun, Huang, Wenxiu, Huang, Xinghe, Huang, Xinsheng, Huang, Xinxin, Hui, Jiliang, Hui, Lijun, Hui, Zhongsheng, Huo, Fangjie, Ji, Runqing, Ji, Runqing, Jia, Guojiong, Jia, Hao, Jia, Jingjing, Jia, Jingmei, Jia, Xiaoling, Jiang, Hua, Jiang, Jingcheng, Jiang, Qian, Jiang, Xianyan, Jiang, Xiaoyuan, Jiang, Yanxiang, Jiao, Yunhong, Jie, Liying, Jin, Binbin, Jin, Lingjiao, Jin, Renshu, Jin, Rong, Jin, Xiang, Jin, Xianping, Jin, Yongfan, Jin, Zepu, Jin, Zhenan, Jing, Chengrong, Jing, Jiajie, Jing, Ruiling, Kang, Liping, Kang, Yu, Kong, Jianqiong, Kou, Shijie, Kou, Xianli, Kulaxihan, Lai, Jijia, Lei, Lubi, Li, Baoxiang, Li, Bin, Li, Bing, Li, Chaohui, Li, Cheng, Li, Chunmei, Li, Chunyan, Li, Daqing, Li, Deen, Li, Di, Li, Feng, Li, Guanyi, Li, Haiyang, Li, Hongwei, Li, Jia, Li, Jialin, Li, Jianan, Li, Jianguang, Li, Jiaying, Li, Jing, Li, Jing, Li, Jinmei, Li, Lala, Li, Li, Li, Lijun, Li, Liping, Li, Lize, Li, Mingju, Li, Minglan, Li, Mingyan, Li, Na, Li, Na, Li, Nan, Li, Nana, Li, Qiang, Li, Qianru, Li, Rui, Li, Ruihong, Li, Shanshan, Li, Shilin, Li, Si, Li, Suwen, Li, Tongshe, Li, Tongying, Li, Wanke, Li, Wei, Li, Wenbo, Li, Wenjuan, Li, Xi, Li, Xiangxia, Li, Xiao, Li, Xiaohui, Li, Xingyan, Li, Xiujuan, Li, Yan, Li, Yanfang, Li, Yang, Li, Yanxia, Li, Yaona, Li, Yichong, Li, Ying, Li, Yuqing, Li, Zheng, Li, Zhengye, Liang, Chuanliang, Liang, Jihua, Liang, Jin, Liang, Ke, Liang, Linju, Liang, Tingchen, Liang, Xia, Liang, Xianfeng, Liang, Yanli, Liang, Zhenye, Lie, Zhenbang, Lin, Qingfei, Lin, Ruifang, Lin, Xiao, Lin, Zhiqiang, Liu, Aijun, Liu, Chao, Liu, Chunxia, Liu, Cong, Liu, Fang, Liu, Fang, Liu, Guaiyan, Liu, Hongjun, Liu, Jiamin, Liu, Jiangling, Liu, Jianqi, Liu, Jieyun, Liu, Jihong, Liu, Jing, Liu, Jinsha, Liu, Juan, Liu, Junfang, Liu, Liming, Liu, Lin, Liu, Lin, Liu, Lin, Liu, Ling, Liu, Lu, Liu, Qiang, Liu, Qiaoling, Liu, Qiaoxia, Liu, Qiuxia, Liu, Shaobo, Liu, Xiaobao, Liu, Xiaocheng, Liu, Xiaoyuan, Liu, Xinbo, Liu, Xu, Liu, Yang, Liu, Yanhu, Liu, Yanming, Liu, Yaqin, Liu, Yong, Liu, Zhihong, Long, Jing, Lu, Futang, Lu, Huamei, Lu, Jiapeng, Lu, Junhong, Lu, Weibin, Lu, Yanrong, Lu, Yuchun, Luan, Tianwei, Luo, Qingwei, Luo, Qun, Luo, Tian, Luo, Xia, Luo, Yongmei, Lv, Jing, Lv, Jinhai, Lv, Lei, Lv, Lili, Lv, Meng, Ma, Aiqing, Ma, Huaimin, Ma, Huihuang, Ma, Jie, Ma, Jinbao, Ma, Li, Ma, Lingzhen, Ma, Nan, Ma, Qiaojuan, Ma, Shumei, Ma, Tengfei, Ma, Xiange, Ma, Xiaowen, Ma, Yuehua, Mai, Lanxian, Mei, Xiao, Meng, Gen, Miao, Ruichao, Miao, Xue, Miao, Xuyan, Min, Tingting, Mo, Shubing, Morigentu, Nan, Tingyan, Ni, Jinyang, Ni, Shuguo, Nie, Yu, Ning, Benxing, Ning, Xiaowei, Niu, Manman, Niu, Qingying, Niu, Wentang, Niu, Xiaoxia, Ou, Fang, Pan, Biyun, Pan, Chengjie, Pan, Congming, Pan, Jieli, Pan, Xiaowen, Pan, Ziying, Pei, Guangzhong, Pei, Lingyu, Pei, Min, Pei, Yanzhen, Peng, Yinyu, Peng, Yuming, Pu, Zhaokun, Qi, Fengjun, Qi, Liwei, Qi, Meiqiong, Qi, Yan, Qian, Jun, Qin, Lei, Qin, Zhonghua, Qing, Lan, Qiu, Lixia, Qiu, Weiyu, Qiu, Xiaoling, Qu, Yueli, Quan, Minghua, Ren, Dingping, Ren, Hong, Ren, Lingzhi, Ren, Tingting, Ren, Wei, Ren, Yihui, Rong, Yufang, Ruan, Jiahui, Shang, Peiqin, Shao, Minyan, Shao, Xuefeng, Shao, Yuling, Shen, Junrong, Shen, Rui, Sheng, Lin, Shi, Jiangjie, Shi, Xun, Shi, Yanhong, Shi, Yeju, Shi, Yujiao, Shu, Bo, Song, Bingchun, Song, Dan, Song, Jinhui, Song, Jinwang, Song, Jinxian, Song, Wei, Song, Xiaoping, Song, Yawen, Su, He, Su, Qinfeng, Su, Shuhong, Su, Xiaozhou, Sun, Chengxiang, Sun, Fangfang, Sun, Gongping, Sun, Jiangnan, Sun, Mengmeng, Sun, Rongrong, Sun, Shuting, Sun, Songtao, Sun, Ying, Sun, Yongmiao, Sun, Yunhong, Sun, Zhiqiang, Suo, Mengying, Tan, Binghu, Tang, Chunyan, Tang, Zhongli, Tao, Yu, Tian, Changming, Tian, Hongmei, Tian, Jian, Tian, Xiaomin, Wan, Huaibin, Wan, Qin, Wan, Rongjun, Wang, Bobin, Wang, Chao, Wang, Chaoqun, Wang, Chengliang, Wang, Di, Wang, Enfang, Wang, Feng, Wang, Gang, Wang, Guangqiang, Wang, Guixiang, Wang, Haifeng, Wang, Haijun, Wang, Haiyang, Wang, Jianfang, Wang, Jianfeng, Wang, Jing, Wang, Junping, Wang, Junying, Wang, Kang, Wang, Lei, Wang, Lei, Wang, Lin, Wang, Lize, Wang, Meng, Wang, Pan, Wang, Qi, Wang, Qiong, Wang, Qiuli, Wang, Qiuxue, Wang, Ran, Wang, Shaojin, Wang, Shuai, Wang, Tao, Wang, Tiantian, Wang, Tinghui, Wang, Tongyan, Wang, Wanhong, Wang, Wenjuan, Wang, Wenyan, Wang, Wenying, Wang, Wenzhuan, Wang, Xiaofei, Wang, Xiaoyan, Wang, Xitong, Wang, Xu, Wang, Yan, Wang, Yan, Wang, Yan, Wang, Yanfang, Wang, Yang, Wang, Yang, Wang, Yanping, Wang, Yanying, Wang, Yaoxin, Wang, Yingli, Wang, Yiting, Wang, Yue, Wang, Yumei, Wang, Yuzhuo, Wang, Zhenhua, Wang, Zhifang, Wang, Zhimin, Wei, Chunli, Wei, Lixia, Wei, Pei, Wei, Shuying, Wei, Xiqing, Wen, Hong, Wen, Yun, Wu, Chaoqun, Wu, Hairong, Wu, Lihua, Wu, Lingxiang, Wu, Qi, Wu, Shaorong, Wu, Wenting, Wu, Xueyi, Wu, Yongshuan, Wu, Zhihao, Wu, Zhuying, Wu, Zongyin, Wuhanbilige, Xia, Jun, Xia, Yang, Xiang, Jing, Xiao, Heliu, Xiao, Yaying, Xie, Meiling, Xie, Yinyan, Xin, Huiling, Xing, Jing, Xiu, Guoquan, Xu, Baohua, Xu, Chuangze, Xu, En, Xu, Jian, Xu, Shuli, Xu, Wei, Xu, Wen, Xue, Na, Xue, Tingting, Xue, Wei, Yan, Haiyan, Yan, Xiaofang, Yan, Yanqing, Yang, Bo, Yang, Hui, Yang, Huiyu, Yang, Jinhua, Yang, Kun, Yang, Man, Yang, Mengya, Yang, Ning, Yang, Ping, Yang, Xiajiao, Yang, Xiaomo, Yang, Xin, Yang, Xiujuan, Yang, Xuemei, Yang, Xuming, Yang, Yan, Yang, Yanhua, Yang, Yi, Yang, Yuanyuan, Yang, Zhimei, Yang, Zhiming, Yao, Hui, Yao, Lu, Ye, Jinling, Ye, Wenhua, Yi, Mingjiao, Yi, Shaowei, Yi, Wenyi, Yi, Zhimin, Yin, Guangxia, Yin, Guoyuan, Yu, Guibin, Yu, Hairong, Yu, Huaitao, Yu, Lijie, Yu, Lijun, Yu, Nana, Yu, Qin, Yu, Xinli, Yu, Yi, Yuan, Biao, Zeng, Chunmei, Zhai, Na, Zhai, Xiaojuan, Zhan, Hongju, Zhang, Aizhen, Zhang, Baohua, Zhang, Bin, Zhang, Caizhu, Zhang, Chaoying, Zhang, Chengbo, Zhang, Chunlai, Zhang, Churuo, Zhang, Fan, Zhang, Feiqin, Zhang, Ge, Zhang, Haibo, Zhang, Hailin, Zhang, Hanxue, Zhang, Huaixing, Zhang, Hui, Zhang, Huijuan, Zhang, Jinguo, Zhang, Jingyu, Zhang, Jinyun, Zhang, Jisheng, Zhang, Jun, Zhang, Lei, Zhang, Li, Zhang, Li, Zhang, Liang, Zhang, Lifeng, Zhang, Lina, Zhang, Liping, Zhang, Liping, Zhang, Min, Zhang, Ping, Zhang, Qiang, Zhang, Rufang, Zhang, Ruifen, Zhang, Shengde, Zhang, Siqi, Zhang, Sufang, Zhang, Tingting, Zhang, Wanyue, Zhang, Weiliang, Zhang, Xiaohan, Zhang, Xiaohong, Zhang, Xiaojuan, Zhang, Xin, Zhang, Xin, Zhang, Xue, Zhang, Xuewei, Zhang, Yachen, Zhang, Yang, Zhang, Yanyan, Zhang, Yaojie, Zhang, Yingyu, Zhang, Yuan, Zhang, Yun, Zhang, Yunfeng, Zhang, Zaozhang, Zhang, Zhichao, Zhao, Baihui, Zhao, Dan, Zhao, Fuxian, Zhao, Guizeng, Zhao, Haijie, Zhao, Honglei, Zhao, Huizhen, Zhao, Jindong, Zhao, Juan, Zhao, Liming, Zhao, Ling, Zhao, Lingshan, Zhao, Qingxia, Zhao, Qiuping, Zhao, Wanchen, Zhao, Wangxiu, Zhao, Weiyi, Zhao, Xiaodi, Zhao, Xiaojing, Zhao, Xiaoli, Zhao, Xiaoyan, Zhao, Xiling, Zhao, Yannan, Zhao, Yiyuan, Zheng, Shuzhen, Zheng, Xin, Zhi, Lixia, Zhong, Hui, Zhong, Qing, Zhong, Xin, Zhong, Yunzhi, Zhou, Jianfeng, Zhou, Jihu, Zhou, Ke, Zhou, Liangliang, Zhou, Ling, Zhou, Na, Zhou, Shengcheng, Zhou, Suyun, Zhou, Tao, Zhou, Wanren, Zhou, Weifeng, Zhou, Weijuan, Zhou, Xiaohong, Zhou, Yunke, Zhou, Yuquan, Zhou, Zhaohai, Zhou, Zhiming, Zhu, Bingpo, Zhu, Jifa, Zhu, Jing, Zhu, Mengnan, Zhu, Youcun, Zong, Dafei, Zuo, Hongbo, and Zuo, Zhaokai
- Abstract
Uncertainty exists about whether lowering systolic blood pressure to less than 120 mm Hg is superior to that of less than 140 mm Hg, particularly in patients with diabetes and patients with previous stroke.
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- 2024
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13. Effect of Gd on preparation of nanocrystalline Mg alloys via cold rotary swaging
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CHEN, Xin, LI, Si-long, and WAN, Ying-chun
- Abstract
The effects of Gd element on the nanocrystallization of Mg alloys during swaging were studied by means of the microhardness test, tensile test, and transmission electron microscopy. The results indicate that it is impossible to achieve nanocrystallization in pure Mg via rotary swaging, which may be attributed to the difficulty of forming dislocation arrays. In contrast, adding Gd alone can achieve a remarkable grain refinement effect after swaging. In the early stage of swaging, twin lamellae are all formed in the pure Mg and Mg−Gd alloys. As the swaging process continues, more non-basal dislocations are formed in the Mg−Gd alloys than in pure Mg. This promotes the formation of dislocation arrays and the resulting nanocrystallization in the Mg−Gd alloys. As the Gd content increases, the refinement effect is obviously enhanced. The critical content for the refinement of the grain size below 100 nm is about 5.4 wt.%.
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- 2024
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14. Space-Confined Chemical Vapor Deposition Synthesis of All-Inorganic CsSnI3 Perovskite Nanosheets.
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Yin, Yao, Shi, Xinyu, Wang, Chunli, Zhang, Xu, Zhou, Dawei, Li, Si, Liao, Kan, Yuan, Jiaxiao, Zhan, Guixiang, He, Jiahao, Hua, Yuyang, Wang, Lin, and Song, Xuefen
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- 2024
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15. Tip-Enhanced Raman Spectroscopy of Monolayer MoS2 on Au(111).
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An, Huiru, Li, Jie, Liu, Yin, Xu, Pan, Han, Suya, Liu, Yong, Chen, Shula, Li, Si-Yu, Lin, Chenfang, and Pan, Anlian
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- 2024
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16. Salidroside Ameliorates Lung Injury Induced by PM2.5 by Regulating SIRT1-PGC-1α in Mice.
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LI, Xiao Hong, LIU, Yu Mei, SHAN, Hui, TAN, Jin Feng, ZHOU, Jian, SONG, Yuan Jin, LI, Si Qi, LIU, Chen, XU, Dong Qun, YU, Li, and LI, Wan Wei
- Subjects
LUNGS ,PARTICULATE matter ,LUNG injuries ,TRANSMISSION electron microscopy ,PATHOLOGICAL physiology ,END of treatment - Abstract
This study aimed to clarify the intervention effect of salidroside (SAL) on lung injury caused by PM 2.5 in mice and illuminate the function of SIRT1-PGC-1ɑ axis. Specific pathogen-free (SPF) grade male C57BL/6 mice were randomly assigned to the following groups: control group, SAL group, PM 2.5 group, SAL+PM 2.5 group. On the first day, SAL was given by gavage, and on the second day, PM 2.5 suspension was given by intratracheal instillation. The whole experiment consist of a total of 10 cycles, lasting 20 days. At the end of treatment, blood samples and lung tissues were collected and analyzed. Observation of pathological changes in lung tissue using inverted microscopy and transmission electron microscopy. The expression of inflammatory, antioxidants, apoptosis, and SIRT1-PGC-1ɑ proteins were detected by Western blotting. Exposure to PM 2.5 leads to obvious morphological and pathologica changes in the lung of mice. PM 2.5 caused a decline in levels of antioxidant-related enzymes and protein expressions of HO-1, Nrf2, SOD2, SIRT1 and PGC-1ɑ, and an increase in the protein expressions of IL-6, IL-1β, Bax, caspase-9 and cleaved caspase-3. However, SAL reversed the aforementioned changes caused by PM 2.5 by activating the SIRT1-PGC-1α pathway. SAL can activate SIRT1-PGC-1ɑ to ameliorate PM 2.5 -induced lung injury. [ABSTRACT FROM AUTHOR]
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- 2024
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17. Correlation-Induced Symmetry-Broken States in Large-Angle Twisted Bilayer Graphene on MoS2.
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Li, Kaihui, Yin, Long-Jing, Che, Chenglong, Zhang, Shihao, Liu, Xueying, Xiao, Yulong, Liu, Songlong, Tong, Qingjun, Li, Si-Yu, and Pan, Anlian
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- 2024
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18. Consolidating Organometallic Complex Ir-CA Empowers Mitochondria-Directed Chemotherapy against Resistant Cancer via Stemness and Metastasis Inhibition.
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Yang, Jin, Wang, Meng-Meng, Deng, Dong-Ping, Lin, Hai, Su, Yan, Shao, Chen-Xu, Li, Si-Hui, Yu, Zheng-Hong, Liu, Hong-Ke, and Su, Zhi
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- 2024
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19. Space-Confined Chemical Vapor Deposition Synthesis of All-Inorganic CsSnI3Perovskite Nanosheets
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Yin, Yao, Shi, Xinyu, Wang, Chunli, Zhang, Xu, Zhou, Dawei, Li, Si, Liao, Kan, Yuan, Jiaxiao, Zhan, Guixiang, He, Jiahao, Hua, Yuyang, Wang, Lin, and Song, Xuefen
- Abstract
All-inorganic two-dimensional (2D) CsSnI3nanosheets exhibit reduced biotoxicity, high mobility, and suitable band gap, making them highly promising for nanoelectronic or optoelectronic applications. However, the synthesis of 2D CsSnI3nanosheets remains challenging. In this study, 2D CsSnI3nanosheets were successfully synthesized by using a space-confined chemical vapor deposition (CVD) method for the first time. The average thickness and lateral size of 2D CsSnI3nanosheets were well-controlled by adjusting the gap distance within the confined space and the growth temperature. This approach also facilitated in situ construction of CsSnI3-based vertical heterostructures by directly growing CsSnI3nanosheets on the surface of target WSe2. The space-confined CVD growth of lead-free perovskite nanosheets will provide more options for the development of low-dimensional perovskite-based optoelectronic devices.
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- 2024
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20. Motor neurons generate pose-targeted movements via proprioceptive sculpting
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Gorko, Benjamin, Siwanowicz, Igor, Close, Kari, Christoforou, Christina, Hibbard, Karen L., Kabra, Mayank, Lee, Allen, Park, Jin-Yong, Li, Si Ying, Chen, Alex B., Namiki, Shigehiro, Chen, Chenghao, Tuthill, John C., Bock, Davi D., Rouault, Hervé, Branson, Kristin, Ihrke, Gudrun, and Huston, Stephen J.
- Abstract
Motor neurons are the final common pathway1through which the brain controls movement of the body, forming the basic elements from which all movement is composed. Yet how a single motor neuron contributes to control during natural movement remains unclear. Here we anatomically and functionally characterize the individual roles of the motor neurons that control head movement in the fly, Drosophila melanogaster. Counterintuitively, we find that activity in a single motor neuron rotates the head in different directions, depending on the starting posture of the head, such that the head converges towards a pose determined by the identity of the stimulated motor neuron. A feedback model predicts that this convergent behaviour results from motor neuron drive interacting with proprioceptive feedback. We identify and genetically2suppress a single class of proprioceptive neuron3that changes the motor neuron-induced convergence as predicted by the feedback model. These data suggest a framework for how the brain controls movements: instead of directly generating movement in a given direction by activating a fixed set of motor neurons, the brain controls movements by adding bias to a continuing proprioceptive–motor loop.
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- 2024
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21. Understanding and improving performance of 14-nm HP EUV lithography via rational design of materials
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Guerrero, Douglas, Amblard, Gilles R., Li, Si, Sweat, Daniel, Lu, Xinlin, Brakensiek, Kelsey, Lu, Pengtao, Lowes, Joyce, Van Driessche, Veerle, and Guerrero, Douglas J.
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- 2024
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22. Correlation-Induced Symmetry-Broken States in Large-Angle Twisted Bilayer Graphene on MoS2
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Li, Kaihui, Yin, Long-Jing, Che, Chenglong, Zhang, Shihao, Liu, Xueying, Xiao, Yulong, Liu, Songlong, Tong, Qingjun, Li, Si-Yu, and Pan, Anlian
- Abstract
Strongly correlated states commonly emerge in twisted bilayer graphene (TBG) with “magic-angle” (1.1°), where the electron–electron (e-e) interaction Ubecomes prominent relative to the small bandwidth Wof the nearly flat band. However, the stringent requirement of this magic angle makes the sample preparation and the further application facing great challenges. Here, using scanning tunneling microscopy (STM) and spectroscopy (STS), we demonstrate that the correlation-induced symmetry-broken states can also be achieved in a 3.45° TBG, via engineering this nonmagic-angle TBG into regimes of U/W> 1. We enhance the e-einteraction through controlling the microscopic dielectric environment by using a MoS2substrate. Simultaneously, the width of the low-energy van Hove singularity (VHS) peak is reduced by enhancing the interlayer coupling via STM tip modulation. When partially filled, the VHS peak exhibits a giant splitting into two states flanked by the Fermi level and shows a symmetry-broken LDOS distribution with a stripy charge order, which confirms the existence of strong correlation effect in our 3.45° TBG. Our result demonstrates the feasibility of the study and application of the correlation physics in TBGs with a wider range of twist angle.
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- 2024
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23. Consolidating Organometallic Complex Ir-CAEmpowers Mitochondria-Directed Chemotherapy against Resistant Cancer via Stemness and Metastasis Inhibition
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Yang, Jin, Wang, Meng-Meng, Deng, Dong-Ping, Lin, Hai, Su, Yan, Shao, Chen-Xu, Li, Si-Hui, Yu, Zheng-Hong, Liu, Hong-Ke, and Su, Zhi
- Abstract
Cancer treatment has faced severe obstacles due to the smart biological system of cancer cells. Herein, we report a three-in-one agent Ir-CAvia attenuation of cancer cell stemness with the down-regulated biomarker CD133 expression from the mitochondria-directed chemotherapy. Over 80% of Ir-CAcould accumulate in mitochondria, result in severe mitochondrial dysfunctions, and subsequently initiate mitophagy and cell cycle arrest to kill cisplatin-resistant A549R cells. In vitroand in vivoantimetastatic experiments demonstrated that Ir-CAcan effectively inhibit metastasis with down-regulated MMP-2/MMP-9. RNA seq analysis and Western blotting indicated that Ir-CAalso suppresses the GSTP1 expression to decrease the intracellular Pt-GS adducts, resulting in the detoxification and resensitization to cisplatin of A549R cells. In vivoevaluation indicated that Ir-CArestrains the tumor growth and has minimal side effects and superior biocompatibility. This work not only provides the first three-in-one agent to attenuate cancer cell stemness and simultaneously realize anticancer, antimetastasis, and conquer metallodrug resistance but also demonstrates the effectiveness of the mitochondria-directed strategy in cancer treatment.
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- 2024
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24. Mechanistic Investigation on Potassium Amide-Catalyzed Benzylic C–H Bond Addition of Alkylpyridines to Styrenes.
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Li, Si-Yuan, Li, Yuan, Du, Hui-Zhen, Wu, Junliang, Luo, Gen, and Guan, Bing-Tao
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- 2024
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25. To What Extent Do Iodomethane and Bromomethane Undergo Analogous Reactions?
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Wu, Haiming, Jia, Yuhan, Zhao, Xiaoyun, Geng, Lijun, Lin, Shiquan, Li, Si-Dian, and Luo, Zhixun
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- 2024
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26. [(OB)2‑M©B7O7‑BO]− (M = Mn, Tc, Re): Chemically Stable and Triply Aromatic Ballet Rotors.
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Jin, Bo, Huo, Bin, Yuan, Caixia, Li, Si-Dian, and Wu, Yan-Bo
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- 2023
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27. Physics-informed Gaussian process for tool wear prediction.
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Zhu, Kunpeng, Huang, Chengyi, Li, Si, and Lin, Xin
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GAUSSIAN processes ,KRIGING ,FEATURE extraction ,MACHINE learning ,REGRESSION analysis ,SIMPLE machines - Abstract
The tool wear monitoring (TWM) system plays an increasingly important role to ensure high quality finishing and system safety in advanced CNC machining process. The pure data-based TWM approaches generally needs to develop complex machine learning models and require massive sensory data to learn the models to reach high monitoring accuracy, while the physics-based tool wear models are simple but hard to adapt to varied working conditions. In order to incorporate the benefits of both methods, a novel physics-informed Gaussian process model is developed to predict the tool wear. Different from the traditional approaches, three tool wear physical models are introduced to develop the physics-informed Gaussian process regression (PB-GPR) model. The wear model is applied to constrain the mean function of the Gaussian process, so that the PB-GPR is more in line with the actual tool wear. At the same time, the model can initiate small data training to meet limited tool wear labels in practice, and then update the model with new measurements. Multi-sensor signals are collected and multi-domain features are extracted for the model learning. The proposed approach is validated from high speed milling experiments. The results show a significant performance improvement including tool wear prediction accuracy and robustness in extrapolation compared to the conventional machine learning methods. • Propose a novel approach to explore the benefits both of physics and data methods. • Develop a physics-based Gaussian process regression model to predict the tool wear in a long term. • The model can be updated online and is effective for unexpected factors during machining process. • The model can provide high prediction accuracy and uncertainty estimation for tool wear monitoring. [ABSTRACT FROM AUTHOR]
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- 2023
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28. Clinical Analysis of Intranasal Dexmedetomidine Combined With Midazolam in Pediatric Cranial Magnetic Resonance Examinations.
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Li, Si-Jie, Shen, Kai-Feng, He, Li, Zhang, Yu-Ping, Ming, Li, and Wu, Zhi-Feng
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To observe the efficacy and safety of intranasal dexmedetomidine combined with midazolam in cranial magnetic resonance imaging of children. A prospective, observational, single-arm, one-center study. A total of 474 children were scheduled for cranial 3.0 T MRI at the first time. All patients were initially given 3 mcg/kg dexmedetomidine combined with 0.15 mg/kg midazolam. The one-time success rate, vital signs before and after treatment, onset time, recovery time, and incidence of adverse reactions were recorded. The one-time success rate was 78.1%. There were significant differences in respiration, heart rate, and blood oxygen saturation before and after treatment (P <.001). The onset time was 10 (8-15) minutes. The average recovery time was 2.58 ± 1.10 hours. Only 1.27% (6 cases) of adverse reactions were observed, including bradycardia (3 cases, 0.6%), tachycardia (1 case, 0.2%), and startle (2 cases, 0.4%). No special treatment was needed. The success of the examination was significantly correlated with age (OR 1.320, 95% CI 1.019-1.710, P =.035) and onset time (OR 0.959, 95% CI 0.921-0.998, P =.038). Dexmedetomidine 3 mcg/kg combined with midazolam 0.15 mg/kg intranasally has a good sedative effect in pediatric cranial magnetic resonance examinations, little impact on breathing and circulation, and few adverse reactions. Age and onset time are related factors affecting the one-time success rate. [ABSTRACT FROM AUTHOR]
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- 2023
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29. SPLiT: Single Portrait Lighting Estimation via a Tetrad of Face Intrinsics
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Fei, Fan, Cheng, Yean, Zhu, Yongjie, Zheng, Qian, Li, Si, Pan, Gang, and Shi, Boxin
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This paper proposes a novel pipeline to estimate a non-parametric environment map with high dynamic range from a single human face image. Lighting-independent and -dependent intrinsic images of the face are first estimated separately in a cascaded network. The influence of face geometry on the two lighting-dependent intrinsics, diffuse shading and specular reflection, are further eliminated by distributing the intrinsics pixel-wise onto spherical representations using the surface normal as indices. This results in two representations simulating images of a diffuse sphere and a glossy sphere under the input scene lighting. Taking into account the distinctive nature of light sources and ambient terms, we further introduce a two-stage lighting estimator to predict both accurate and realistic lighting from these two representations. Our model is trained supervisedly on a large-scale and high-quality synthetic face image dataset. We demonstrate that our method allows accurate and detailed lighting estimation and intrinsic decomposition, outperforming state-of-the-art methods both qualitatively and quantitatively on real face images.
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- 2024
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30. Mineralogical properties and co-sintering characteristics of fluxed iron ore with magnetite concentrates
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Niu, Le-le, Liu, Zheng-jian, Zhang, Jian-liang, Wang, Yao-zu, Yang, Zhen-xing, Li, Si-da, Shan, Chang-dong, and Feng, Ben
- Abstract
To investigate the feasibility of co-sintering of fluxed iron ore with magnetite concentrates, the mineralogical properties of a novel fluxed iron ore were studied using particle size analysis, microscopic morphology characterization, and X-ray diffraction Rietveld analysis. Following that, the experiments for granulation performance and basic sintering characteristics were designed under seven different fluxed iron ore ratios, and the integrated ranking of different fluxed iron ore ratios was determined using gray relation analysis. Finally, the results of the industrial trails were combined with the feasibility analysis. Test and experimental results show that the fraction of the fluxed iron ore particles larger than 0.5 mm can account for more than 48%, and the particles have two morphologies: spherical-rough and flaky-smooth. Ca elements are found in the form of calcite (CaCO3) and dolomite (CaMg(CO3)2). The average particle size of granules and powder removal rate can be improved from 2.50 to 3.16 mm and 39.60% to 24.20%, respectively, with the increase in the fluxed iron ore ratio. Furthermore, the fluxed iron ore can improve assimilability and liquid fluidity of magnetite concentrates. In terms of overall granulation performance and sintering characteristics, the fluxed iron ore ratios are graded from best to worst as follows: 12%, 15%, 9%, 18%, 21%, 6% and 3%. The industrial trails show that when the fluxed iron ore ratio is increased, the beneficial effect of the superior sintering characteristics of the fluxed iron ore itself is ideally balanced with the negative effect of the lower amount of additional CaO at 12% ratio, and thus, it is feasible to bring the fluxed iron ore into production at a level of roughly 12%.
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- 2024
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31. IRS Auxiliary UAV Communications: Channel Modeling and Performance Analysis
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Zhang, Wendi, Lian, Zhuxian, Wang, Yajun, Li, Si, Zhang, Bibo, and Gai, Zhiqiang
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In this letter, based on the theory of electromagnetic (EM) wave, an intelligent reflecting surface (IRS) assisted channel model for unmanned aerial vehicle (UAV) communications is proposed. The proposed model reveals the relationship between the received signal power of the IRS and the horizontal rotation angle, the size, and the reflection phases of IRS reflection units. The reflection phases are designed to ensure all signals reflected by IRS are phase aligned, and the theoretical result of the received signal power of IRS assisted link is in direct proportion to the square of the total geometric area of the IRS, which accords with the measurement results obtained in the real outdoor scene. In this letter, the smallest geometric area of the IRS, for which the path loss of the IRS-assisted link is equal to that of the direct link, is investigated. With the increase of the carrier frequency, the smallest geometric area gradually decreases. Finally, we investigate the ergodic sum capacity and obtain the closed-form tight upper bound, which is validated through Monte-Carlo simulation results.
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- 2024
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32. Bioinformatics and Machine Learning-Based Screening of Key Genes in Alzheimer's Disease
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Hou, Meng, Bao, Juan, Zheng, Shu, Li, Si, and Li, Xi
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Objective To provide theoretical support for the study of AD pathogenesis and therapeutic targets. Methods The AD data were downloaded from the GEO database for differential expression analysis to obtain DEGs, followed by enrichment analysis of GO and KEGG signalling pathways, construction of machine learning models to screen key genes, and construction of risk prediction models and prediction of transcription factors based on key genes. In addition, consistent clustering analysis was performed on AD samples. Results Seven key genes were finally screened in this study, and the risk prediction model constructed on the basis of these seven genes had an AUC of 0.877. Cluster analysis classified the AD samples into two subtypes, and there was also a significant difference in immune infiltration between the two subtypes. Conclusion This study provides new perspectives and potential therapeutic targets for exploring the potential mechanisms by which mitochondrial autophagy affects AD, as well as providing directions for individualised treatment of AD.
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- 2024
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33. Predicting fatigue life of automotive adhesive bonded joints: a data-driven approach using combined experimental and numerical datasets
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Wei, Chen-Di, Chen, Qiu-Ren, Chen, Min, Huang, Li, Yue, Zhong-Jie, Li, Si-Geng, Wang, Jian, Chen, Li, Tong, Chao, and Liu, Qing
- Abstract
The majority of vehicle structural failures originate from joint areas. Cyclic loading is one of the primary factors in joint failures, making the fatigue performance of joints a critical consideration in vehicle structure design. The use of traditional fatigue analysis methods is constrained by the absence of adhesive life data and the wide variety of joint geometries. Therefore, there is a pressing need for an accurate fatigue life estimation method for the joints in the automotive industry. In this work, we proposed a data-driven approach embedding physical knowledge-guided parameters based on experimental data and finite element analysis (FEA) results. Different machine learning (ML) algorithms are adopted to investigate the fatigue life of three typical adhesive joints, namely lap shear, coach peel and KSII joints. After the feature engineering and tuned process of the ML models, the preferable model using the Gaussian process regression algorithm is established, fed with eight input parameters, namely thicknesses of the substrates, line forces and bending moments of the adhesive bonded joints obtained from FEA. The proposed method is validated with the test data set and part-level physical tests with complex loading states for an unbiased evaluation. It demonstrates that for life prediction of adhesive joints, the data-driven solutions can constitute an improvement over conventional solutions.
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- 2024
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34. Remote sensing enabled sustainable tomato plant health and pest surveillance using machine learning techniques
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Yu, Weijia and Li, Si
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To ensure long-term food security, it's vital to detect pests and diseases in crops. Traditional monitoring methods are labour-intensive and lack real-time info, leading to ineffective interventions. To address this, an advanced plant health monitoring (APHM) system that uses remote sensing technology and machine learning-based classification to effectively identify plant diseases and pests in tomato plants is proposed. The proposed system allows unmanned aerial vehicles (UAV) to take detailed aerial images of tomato fields, which are processed and input into a convolutional neural network with a generating adversarial imitation learning (CNN-GAIL) model. The CNN-GAIL model efficiently differentiates between healthy plants, weak plants, and pest presence by capitalising on temporal relationships in image sequences. The APHM system's ability to quickly identify and fix problems, combined with remote sensing and machine learning in precision agriculture, could improve crop health, reduce yield losses, and promote long-term sustainability.
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- 2024
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35. Joint UAV Trajectory and Beamforming Designs for RIS-Assisted MIMO System
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Li, Si, Du, Huiqin, Zhang, Duoying, and Li, Kexin
- Abstract
This paper considers a wireless downlink multiple-input multiple-output (MIMO) system, where communication between the base station and multiple users is facilitated by a reconfigurable intelligent surface (RIS) deployed on an unmanned aerial vehicle (UAV). Under the
-norm-based capacity-limited backhaul, the average weighted sum rate is maximized over the flying period by jointly designing the user scheduling, UAV's trajectory, active beamforming and passive beamforming. Given the highly coupled variables and non-convex combinatorial constraints, the underlying problem is decomposed into three subproblems. Relaxing the mixed-integer constraint as a weighted$\ell _{0}$ -norm, the transmit precoding and user scheduling can be jointly obtained by the conic relaxation. The RIS phase shift with unit-modulus constraint is obtained via the alternating direction method of multipliers. The UAV's trajectory is optimized by the successive convex approximation approach. Numerical results demonstrate the effectiveness of the proposed algorithm in improving the average achievable rate within the constraints of a finite-capacity backhaul.$\ell _{1}$ - Published
- 2024
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36. BAS-ALSTM: analyzing the efficiency of artificial intelligence-based English translation system
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Li, Si and Huang, Ying
- Abstract
The progression of education reform causes the maximization of the English language’s importance in the learning process. The students require immediate English learning concerns to improve their understanding and learning in education. During the study, Machine Translation (MT) helps to simplify the learning process and helps to understand the huge volume of legal documents with minimum error in legal translations. The MT process utilizes Artificial Intelligence (AI) techniques while translating the text by incorporating the Google API translation techniques. However, the existing systems fail to correlate the user reading experience with system performance. The AI-MT systems are trained with the help of a set of words and text that are having difficulties while giving a large input volume. Therefore, the system faces computation complexity and decreases translation accuracy. The research issue is overcome by incorporating edge computing solutions with user data. The user inputs are investigated using the skip-gram model that generates the input feature vector. Then Beetle Antennae Search with Attention Long Short-Term Memory (BAS-ALSTM) neural model is applied to develop the ranking value for text. The generated word rank helps identify the edge server, and the respective translation process is initiated to maximize the translation matching degree. This process is utilized in the English learning process to increase language understanding ability and reduce learning difficulties. The effective utilization of the neural model understands every text, and translation is performed with the user query. The created system efficiency is evaluated using the experimental results and discussions.
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- 2024
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37. Physics-Informed Deep Learning for Tool Wear Monitoring
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Zhu, Kunpeng, Guo, Hao, Li, Si, and Lin, Xin
- Abstract
Tool condition monitoring is essential to maintain the final product quality and machining efficiency of the manufacturing process. However, traditional physics-based and data-driven approaches have limitations either on prediction efficiency or performance generalization, due to the nature of the respective approaches. To address these issues, in this article, a physics-informed deep learning approach is developed, which integrates the tool wear mechanism into the data-driven model. First, some representative physical information is selected for the task learning. Then, four practical physics-informed methods are proposed to integrate various physical information into the data-driven models. Based on these physical constraints, a physics-informed deep learning model is specially designed for tool wear monitoring. Compared with previous studies, more diverse physical information can be effectively utilized to guide the hypothesis space, thereby improving the generality of the model. The effectiveness and feasibility of this model under various working conditions are verified in high-speed milling experiments. The results show that the wear prediction of the proposed approach is more accurate and consistent under unknown machining conditions.
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- 2024
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38. Quantitative analysis of dynamic iris changes in primary angle-closure disease with long axial lengths: the Handan Eye Study
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Wang, Jin, Wang, Yue, Zhang, Qing, Li, Si Zhen, He, Ming Guang, Wang, Ningli, and Zhang, Ye
- Abstract
Objective: To investigate dynamic iris changes in patients with primary angle-closure disease (PACD) with long axial length (AL) compared to those with short and medium AL. Methods: This observational cross-sectional study enrolled participants aged 35 years or older from the Handan Eye Study follow-up examination who were diagnosed with PACD and underwent Visante anterior segment optical coherence tomography (ASOCT) imaging under light and dark conditions. The right eye of each participant was included in the analysis. AL was categorized as short (<22.0 mm), medium (≥22.0 to ≤23.5 mm), or long (>23.5 mm). Anterior segment parameters, including iris dynamic changes, were compared among the three groups with different ALs. Results: Data from 448 patients with PACD were analyzed. We found that 10.9% of included eyes had a long AL with a flatter cornea; larger central anterior chamber depth, angle opening distance, anterior chamber width, anterior chamber area, and volume; and smaller lens thickness and lens vault (LV) (P< 0.05) than those with short AL. No significant difference existed between the three groups in iris thickness, iris cross-sectional area (IA), iris curvature, or pupil diameter (PD) change between light and dark (P> 0.05). The significant associated factors for IA changes were area recess area (ARA) in the dark, LV in the dark, and PD change from light to dark (P< 0.05). Conclusions: Dynamic and static iris parameters were consistent across patients with PACD with short, medium, or long AL and may contribute to the pathogenesis of angle closure in atypical PACD.
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- 2024
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39. High stability of opto-mechanical structure design and validation of Beijing No.3 camera
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Jiang, Yadong, Wang, Xiaoyong, Liu, Dong, Xue, Bin, Wang, Yongtian, Cao, Liangcai, Wang, Qiong-Hua, Lu, Chao-Yang, Luo, Ting-yun, Zou, Bao-cheng, Li, Si-hui, Pang, Shou-cheng, and Zhang, Chun-rui
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- 2023
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40. Adaptational Response of Individual Trabeculae Morphology to Loading at Different Directions
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Smotrova, Ekaterina, Li, Si Min, and Silberschmidt, Vadim
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Trabecular bone undergoes changes in its morphology when subjected to external loading. This paper analyses changes in morphological parameters of individual trabeculae (trabecular thickness and bone volume fraction) in response to loadings at different directions: 0°, 20°, 45°, 70° and 90°. It was found that increase in the load incline caused increase in trabecular thickness and bone volume fraction. In addition, the equilibrium-state trabeculae obtained from adaptation to load at 90° (shear loading) had the highest axial and lateral stiffnesses, as compared to trabecular geometries obtained from other loading scenarios.
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- 2023
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41. Potential impacts of climate and anthropogenic-induced changes on DOM dynamics among the major Chinese rivers
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Li, Si-Liang, Zhang, Hao, Yi, Yuanbi, Zhang, Yutong, Qi, Yulin, Mostofa, Khan MG, Guo, Laodong, He, Ding, Fu, Pingqing, and Liu, Cong-Qiang
- Abstract
•River DOC concentration is higher in the north than in the south of China.•Climatic and anthropogenic factors synergetically impact river DOM dynamics.•Human activities have more pronounced impacts on riverine DOM than climate factors.•Keeping river systems healthy will benefit achieving sustainable development.
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- 2023
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42. An 11 pJ/Bit Multichannel OOK/FSK/QPSK Transmitter With Multi-Phase Injection-Locking and Frequency Multiplication Techniques
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Cheng, Kuang-Wei, Chang, Sheng-Kai, Chang, Shao-Ting, Li, Si-Lou, and Huang, Yu-Chieh
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A 423.5-450 MHz low-power OOK/FSK/QPSK wireless transmitter is proposed with multi-phase injection locking and frequency multiplication techniques. A low-frequency phase-rotation-based frequency synthesizer is employed to provide multichannel support and FSK modulation. The far-out phase noise caused by the quantization noise of the
$\Delta \Sigma $ $870 \mu \text{W}$ - Published
- 2023
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43. Effects of the Ionizable Monomer Fraction on the Swelling Behavior of Weak Polyelectrolyte Brushes.
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Ramezani Bajgiran, Shahryar, Safi Samghabadi, Farshad, Li, Si, Conrad, Jacinta C., and Marciel, Amanda B.
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- 2023
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44. Machine Learning Predicts the Methane Clumped Isotopologue (12CH2D2) Distributions Constrain Biogeochemical Processes and Estimates the Potential Budget.
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Wang, Xinchu, Liu, Cong-Qiang, Yi, Yuanbi, Zeng, Meiling, Li, Si-Liang, and Niu, Xueqi
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- 2023
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45. Micrometer-Scale Carrier Transport in the Solid Film of Giant CdSe/CdS Nanocrystals Imaged by Transient Absorption Microscopy.
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Li, Si, Hu, Fengrui, Bi, Yanfeng, Yang, Hongyu, Lv, Bihu, Zhang, Chunfeng, Zhang, Jiayu, Xiao, Min, and Wang, Xiaoyong
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- 2023
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46. Chronic Paternal/Maternal Exposure to Environmental Concentrations of Imidacloprid and Thiamethoxam Causes Intergenerational Toxicity in Zebrafish Offspring.
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Zhang, Jin-Ge, Shi, Wenjun, Ma, Dong-Dong, Lu, Zhi-Jie, Li, Si-Ying, Long, Xiao-Bing, and Ying, Guang-Guo
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- 2023
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47. Use of 3D-printing cerebral aneurysm model assisting microcatheter shaping in neurovascular intervention technique training.
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Li, Si-si, Lu, Zhi-wen, Wang, Chi, Shang, Cheng-hao, and Yu, Ying
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• A new training method and assessment system with the 3D printing model for microcatheter shaping in coil embolization of cerebral aneurysms were described. • The patient-specific aneurysm models were printed in two forms: a solid polylactic acid model for shaping reference and a soft hollow crystal silicone model for shaping validation and assessment. • The accuracy of shaping was evaluated by the instructors and scored according to the designed criteria. Microcatheter shaping plays a vital role in coil embolization of cerebral aneurysms, while the complicated method and insufficient training opportunities make it difficult for junior neurovascular clinicians to master this technique. In this program, we constructed a novel training method and assessment system for microcatheter shaping in coil embolization of cerebral aneurysms with 3D technique, and evaluated its efficacy for microcatheter shaping training in junior neurovascular clinicians. Patient-specific models for cerebral aneurysms in different locations and with different morphologies were selected by experienced senior neurovascular clinicians. The solid polylactic acid model and the soft hollow crystal silicone model of intracranial aneurysms were then made separately for shaping reference and assessment in the training course. Twelve residents without prior experience of microcatheter shaping and 25 neurovascular clinicians who have in vivo experience of microcatheter shaping on 3–5 occasions were selected for this training program and randomly divided into the traditional training group and the experimental training group. Four senior neurovascular clinicians assisted and guided the trainees in two groups and evaluated the time and accuracy of microcatheter shaping. Eighteen trainees were assigned to the traditional training group, among which 4 had prior experience in microcatheter shaping. The other 19 were assigned to the experimental training group, including 8 with prior experience. No statistical difference in the distribution of experienced students between the two groups was noted(P = 0.295). After the training session, the shaping time was found shorter in the experimental training group than that in the traditional training group (40.3.5 ± 16.2 s vs. 54.2 ± 16.4 s, P = 0.014), while the shaping score was found higher in the experimental training group than that in the traditional training group (4.4 ± 0.5 vs. 2.6 ± 1.2, P < 0.001). Specifically, for the trainees without prior experience, the experimental training group also showed less time consumption and higher score (Time: 52.7 ± 7.7 vs. 61.5 ± 9.5, P = 0.02; Score 4.1 ± 0.5 vs. 2.3 ± 1.1, P < 0.01). Meanwhile, for the trainees with prior experience, the advantage was noted in shaping score (4.7 ± 0.3 vs. 3.9 ± 0.6, P < 0.01) but not in time consumption (23.3 ± 4.4 vs. 28.5 ± 3.9, P = 0.07). This training program is quite effective at teaching junior neurovascular physicians the essential surgical abilities required for coiling cerebral aneurysms. [ABSTRACT FROM AUTHOR]
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- 2023
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48. Suspect and Nontarget Screening Reveal the Underestimated Risks of Antibiotic Transformation Products in Wastewater Treatment Plant Effluents
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Hu, Jingrun, Lyu, Yitao, Chen, Huan, Li, Si, and Sun, Weiling
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Antibiotics are anthropogenic contaminants with a global presence and of deep concern in aquatic environments, while less is known about the occurrence and risks of their transformation products (TPs). Herein, we developed a comprehensive suspect and nontarget screening workflow based on high-resolution mass spectrometry to identify unknown antibiotic TPs in wastewater treatment plant effluents. We identified 211 compounds (35 parent antibiotics and 176 TPs) at confidence levels of ≥3 and 107 TPs originated from macrolides. TPs were quantified by 17 TPs standards and semiquantified by the predicted response factors and accounted for 55.6–95.1% (76.7% on average) of the total concentrations of parents and TPs. 22.2%, 63.1%, and 18.8% of the identified TPs were estimated to be more persistent, mobile, and toxic than their parent antibiotics, respectively. Further ecological risk assessment based on concentrations and toxicity to aquatic organisms revealed that the cumulative risks of TPs were generally higher than those of parents. Despite the newly formed N-oxide TPs, the tertiary treatment process (mainly ozonation) could decrease the averaged 20.3% of concentrations and 36.2% of the risks of antibiotic-related compounds. This study highlights the necessity to include antibiotic TPs in environmental scrutiny and risk assessment of antibiotics in different aquatic environments.
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- 2023
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49. Micrometer-Scale Carrier Transport in the Solid Film of Giant CdSe/CdS Nanocrystals Imaged by Transient Absorption Microscopy
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Li, Si, Hu, Fengrui, Bi, Yanfeng, Yang, Hongyu, Lv, Bihu, Zhang, Chunfeng, Zhang, Jiayu, Xiao, Min, and Wang, Xiaoyong
- Abstract
For the practical applications in solar cells and photodetectors, semiconductor colloidal nanocrystals (NCs) are assembled into a high-concentration film with carrier transport characteristics, the full understanding and effective control of which are critical for the achievement of high light-to-electricity conversion efficiencies. Here we have applied transient absorption microscopy to the solid film of giant CdSe/CdS NCs and discovered that at high pump fluences the carrier transport could reach a long distance of ∼2 μm within ∼30 ps after laser pulse excitation. This intriguing behavior is attributed to the metal–insulator transition and the associated bandlike transport, which are promoted by the enhanced electronic coupling among neighboring NCs with extended wave functions overlap of the excited-state charge carriers. Besides providing fundamental transport information in the regime of high laser pump fluences, the above findings shed light on the rational design of high-power light detecting schemes based on colloidal NCs.
- Published
- 2023
- Full Text
- View/download PDF
50. An Improved Gray Wolf Algorithm for Radiation Near-Field Source Localization in Exact Model
- Author
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Zhang, Qi, Li, Wenxing, Li, Si, Yang, Bin, and Mao, Yunlong
- Abstract
Spectral search algorithms are widely used in radiation near-field (RNF) source locations because of their high estimation accuracy, but they have disadvantages such as large computation and long running time. To solve this problem, the Fresnel model is mainly adopted in the existing works of literature to realize the source location estimation in the algorithm of spectral search. Although the operation time is effectively reduced, there is a mismatch between the Fresnel model and the exact model, resulting in the existing method being not suitable for the source location under the exact model. In order to shorten the running time of the RNF source spectrum search algorithm under the exact model, an improved gray wolf optimal (IGWO) algorithm based on the exact model is proposed to estimate the RNF source position, which guarantees the high precision and shorten the operation time. The algorithm uses the noise subspace fitting method as the cost function and the power function as the convergence factor, which shortens the time required for source location and improves the estimation accuracy of the algorithm. The simulation results show that the IGWO algorithm takes less time and has better estimation accuracy than the existing source location algorithms.
- Published
- 2023
- Full Text
- View/download PDF
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