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| 1 | Chemical compositions and antimicrobial activities of essential oils extracted from Acanthopanax brachypus显示文摘 | Hu Haobin Zheng Xudong Hu Huaisheng | 2009 | Archives of Pharmacal Research2009，32，5： | 1 |
| 2 | A New Diterpenoid and Other Con- stituents from Acanthopanax brachypus Harms 显示文摘 | Hu Haobin Fan Jun | 2009 | J Chin Chem Soc2009，56，5： | 1 |
| 3 | Triterpe- noid Saponins from the Stem Bark of Acanthopanax brachypus Harms 显示文摘 | Hu Haobin Zheng Xudong Cao Hong | 2009 | Chem Pharm Bull2009，57，9： | 1 |
| 4 | Acylat- ed Stilbene Glucosides and Further Constituents from Ac- anthopanax brachypus 显示文摘 | Hu Haobin Zheng Xudong Hu Huaisheng | 2009 | Helv Chim Acta2009，92，2： | 1 |
| 5 | Chemical compositions and antimicrobial activities of essential oils extracted from Acanthopanax brachypus显示文摘 | HU Haobin ZHENG Xudong HU Huaisheng | 2009 | Archives of pharmacal research2009，32，5： | 1 |
| 6 | A new diterpenoid and other constituents from Acanthopanax brachypus Harms显示文摘 | HU Haobin | 1989 | Journal of the Chinese Chemical Society1989，20，： | 1 |
| 7 | DDB1 prepares brown adipocytes for cold-induced thermogenesis显示文摘Brown adipose tissue(BAT)plays a key role in thermogenesis during acute cold exposure.However,it remains unclear how BAT is prepared to rapidly turn on thermogenic genes.Here,we show that damage-specific DNA binding protein 1(DDB1)mediates the rapid transcription of thermogenic genes upon acute cold exposure.Adipose-or BAT-specific Ddb1 knockout mice show severely whitened BAT and significantly decreased expression of thermogenic genes.These mice develop hypothermia when subjected to acute cold exposure at 4℃ and partial lipodystrophy on a high-fat diet due to deficiency in fatty acid oxidation.Mechanistically,DDB1 binds the promoters of Ucp1 and Ppargc1a and recruits positive transcriptional elongation factor b(P-TEFb)to release promoter-proximally paused RNA polymerase II(Pol II),thereby enabling rapid and synchronized transcription of thermogenic genes upon acute cold exposure.Our findings have thus provided a regulatory mechanism of how BAT is prepared to respond to acute cold challenge. | Xu Wang Shen-Ying Liu Guo-Sheng Hu Hao-Yan Wang Guo-Liang Zhang Xiang Cen Si-Ting Xiang Wen Liu Peng Li Haobin Ye Tong-Jin Zhao | 2022 | Life Metabolism2022，1，1： | 0 |
| 8 | Flexible,breathable,and reinforced ultra-thin Cu/PLLA porous-fibrous membranes for thermal management and electromagnetic interference shielding显示文摘Electromagnetic interference shielding and thermal management by wearable devices show great po-tential in emerging digital healthcare.Conventional metal films implementing the functions must sacri-fice either flexibility or permeability,which is far from optimal in practical applications.In this work,an ultra-thin(15μm),flexible,and porous Cu/PLLA fibrous membrane is developed by depositing cop-per particles on the polymer substrate.With novel acetone&heat treatment procedure,the mem-brane is considerably stronger while maintaining the porous fibre structure.Its fantastic breathabil-ity and super high electrical conductivity(9471.8130 S/cm)enable the composites to have fast electri-cal heating characteristics and excellent thermal conductivity for effective thermal management.Mean-while,the porous polymer substrate structure greatly enhances the diffusion of conductive substances and increases the electromagnetic interference shielding effectiveness of the membranes(7797.98 dB cm^(2)/g at the H band and 8072.73 dB cm^(2)/g at the Ku band respectively).The composites present high flexibility,breathability,and strength with the functions of thermal management and electromag-netic shielding,showing great potential for future portable electronic devices and wearable integrated garments. | Jinlin Chang Chen Meng Bowen Shi Wenyuan Wei Renzhi Li Jinmin Meng Haobin Wen Xiangyu Wang Jun Song Zhirun Hu Zekun Liu Jiashen Li | 2023 | Journal of Materials Science & Technology2023，，30： | 0 |
| 9 | A Deep Learning Application for Building Damage Assessment Using Ultra-High-Resolution Remote Sensing Imagery in Turkey Earthquake显示文摘Rapid building damage assessment following an earthquake is important for humanitarian relief and disaster emergency responses.In February 2023,two magnitude-7.8 earthquakes struck Turkey in quick succession,impacting over 30 major cities across nearly 300 km.A quick and comprehensive understanding of the distribution of building damage is essential for e fficiently deploying rescue forces during critical rescue periods.This article presents the training of a two-stage convolutional neural network called BDANet that integrated image features captured before and after the disaster to evaluate the extent of building damage in Islahiye.Based on high-resolution remote sensing data from WorldView2,BDANet used predisaster imagery to extract building outlines;the image features before and after the disaster were then combined to conduct building damage assessment.We optimized these results to improve the accuracy of building edges and analyzed the damage to each building,and used population distribution information to estimate the population count and urgency of rescue at different disaster levels.The results indicate that the building area in the Islahiye region was 156.92 ha,with an affected area of 26.60 ha.Severely damaged buildings accounted for 15.67%of the total building area in the affected areas.WorldPop population distribution data indicated approximately 253,297,and 1,246 people in the collapsed,severely damaged,and lightly damaged areas,respectively.Accuracy verification showed that the BDANet model exhibited good performance in handling high-resolution images and can be used to directly assess building damage and provide rapid information for rescue operations in future disasters using model weights. | Haobin Xia Jianjun Wu Jiaqi Yao Hong Zhu Adu Gong Jianhua Yang Liuru Hu Fan Mo | 2023 | International Journal of Disaster Risk Science2023，14，6： | 0 |
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