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| 1 | Multi-Person Device-Free Gesture Recognition Using mmWave Signals显示文摘Device-free gesture recognition is an emerging wireless sensing technique which could recognize gestures by analyzing its influence on surrounding wireless signals,it may empower wireless networks with the augmented sensing ability.Researchers have made great achievements for singleperson device-free gesture recognition.However,when multiple persons conduct gestures simultaneously,the received signals will be mixed together,and thus traditional methods would not work well anymore.Moreover,the anonymity of persons and the change in the surrounding environment would cause feature shift and mismatch,and thus the recognition accuracy would degrade remarkably.To address these problems,we explore and exploit the diversity of spatial information and propose a multidimensional analysis method to separate the gesture feature of each person using a focusing sensing strategy.Meanwhile,we also present a deep-learning based robust device free gesture recognition framework,which leverages an adversarial approach to extract robust gesture feature that is insensitive to the change of persons and environment.Furthermore,we also develop a 77GHz mmWave prototype system and evaluate the proposed methods extensively.Experimental results reveal that the proposed system can achieve average accuracies of 93%and 84%when 10 gestures are conducted in Received:Jun.18,2020 Revised:Aug.06,2020 Editor:Ning Ge different environments by two and four persons simultaneously,respectively. | Jie Wang Zhouhua Ran Qinghua Gao Xiaorui Ma Miao Pan Kaiping Xue | 2021 | China Communications2021，18，2： | 1 |
| 2 | Phenylpropanoid glycoside inhibition of pepsin, trypsin and α-chymotrypsin enzyme activity in Kudingcha leaves from Ligustrum purpurascens显示文摘 | Xuli Wu WenPu Wang Tian Zhu Ting Liang FangQi Lu Weiyi He Haiping Zhang Zhigang Liu ShaoHeng He Kaiping Gao Zhendan He | 2013 | Food Research International2013，，2： | 1 |
| 3 | The SUPER reporting guideline suggested for reporting of surgical technique显示文摘Background:Existing reporting guidelines pay insufficient attention to the detail and comprehensiveness reporting of surgical technique.The Surgical techniqUe rePorting chEcklist and standaRds(SUPER)aims to address this gap by defining reporting standards for surgical technique.The SUPER guideline intends to apply to articles that encompass surgical technique in any study design,surgical discipline,and stage of surgical innovation.Methods:Following the EQUATOR(Enhancing the QUAlity and Transparency Of health Research)Network approach,16 surgeons,journal editors,and methodologists reviewed existing reporting guidelines relating to surgical technique,reviewed papers from 15 top journals,and brainstormed to draft initial items for the SUPER.The initial items were revised through a three-round Delphi survey from 21 multidisciplinary Delphi panel experts from 13 countries and regions.The final SUPER items were formed after an online consensus meeting to resolve disagreements and a three-round wording refinement by all 16 SUPER working group members and five SUPER consultants.Results:The SUPER reporting guideline includes 22 items that are considered essential for good and informative surgical technique reporting.The items are divided into six sections:background,rationale,and objectives(items 1 to 5);preoperative preparations and requirements(items 6 to 9);surgical technique details(items 10 to 15);postoperative considerations and tasks(items 16 to 19);summary and prospect(items 20 and 21);and other information(item 22).Conclusions:The SUPER reporting guideline has the potential to guide detailed,comprehensive,and transparent surgical technique reporting for surgeons.It may also assist journal editors,peer reviewers,systematic reviewers,and guideline developers in the evaluation of surgical technique papers and help practitioners to better understand and reproduce surgical technique. | Kaiping Zhang Yanfang Ma Jinlin Wu Qianling Shi Leandro Cardoso Barchi Marco Scarci Rene Horsleben Petersen Calvin S.H.Ng Steven Hochwald Ryuichi Waseda Fabio Davoli Robert Fruscio Giovanni Battista Levi Sandri Michel Gonzalez Benjamin Wei Guillaume Piessen Jianfei Shen Xianzhuo Zhang Panpan Jiao Yulong He Nuria M.Novoa Benedetta Bedetti Sebastien Gilbert Alan D.L.Sihoe Alper Toker Alfonso Fiorelli Marcelo F.Jimenez Toni Lerut Aung Y.Oo Grace S.Li Xueqin Tang Yawen Lu Hussein Elkhayat Tomaz Stupnik Tanel Laisaar Firas Abu Akar Diego Gonzalez-Rivas Zhanhao Su Bin Qiu Stephen D.Wang Yaolong Chen Shugeng Gao | 2023 | Hepatobiliary Surgery and Nutrition2023，12，4： | 0 |
| 4 | Extraordinary radiation tolerance of a Ni nanocrystal-decorated carbon nanotube network encapsulated in amorphous carbon显示文摘Nanostructured materials with abundant defect sinks show good radiation tolerance due to their efficient absorption of irradiation-induced interstitials and vacancies.However,the poor thermal stability and limited size of such nanomaterials severely limit their practical applications.Herein,we report a novel flexible free-standing network-structured hybrid consisting of amorphous carbon encapsulated nickel nanocrystals anchored on a single-wall carbon nanotube scaffold with excellent radiation tolerance up to 5 dpa at 673 K and exceptional thermal stability up to 1073 K.The nano-scale Ni-SWCNT network with abundant Ni-SWCNT interfaces and grain boundaries provides effective sinks and fast transportation channels for defects,which effectively absorb irradiation-induced defects and improved the irradiation tolerance.Furthermore,the formation of a low-energy Ni-C interface and surface thermal grooves significantly reduces the system free energy and increased thermal stability.The amorphous carbon layer produces an external compressive radial stress that inhibits Ni grain boundaries from migrating,which greatly improves the thermal stability of the hybrid by pinning GBs at grooves between grains and facilitates the annihilation of irradiation-induced defects at the sinks.This work provides a new strategy to improve the thermal stability and radiation tolerance of nano-materials used in an irradiation environment. | Kan Cui Yang Zhao Zhi Yu Miaosen Yu Xiaoqi Li Xingwei Huang Jianhang Qiu Liangting Sun Hongwei Zhao Ning Gao Kaiping Tai Chang Liu | 2023 | Journal of Materials Science & Technology2023，，24： | 0 |
| 5 | Targeting LncRNA LLNLR-299G3.1 with antisense oligonucleotide inhibits malignancy of esophageal squamous cell carcinoma cells in vitro and in vivo显示文摘Accumulating evidence has indicated that long non-coding RNAs(lncRNAs)play critical roles in the development and progression of cancers,including esophageal squamous cell carcinoma(ESCC).However,the mechanisms of lncRNAs in ESCC are still incompletely understood and therapeutic attempts for in vivo targeting cancer-associated lncRNA remain a challenge.By RNA-sequencing analysis,we identified that LLNLR-299G3.1 was a novel ESCC-associated lncRNA.LLNLR-299G3.1 was up-regulated in ESCC tissues and cells and promoted ESCC cell proliferation and invasion.Silencing of LLNLR-299G3.1 with ASO(antisense oligonucleotide)resulted in opposite effects.Mechanistically,LLNLR-299G3.1 bound to cancerassociated RNA binding proteins and regulated the expression of cancer-related genes,including OSM,TNFRSF4,HRH3,and SSTR3.ChIRP-seq(chromatin isolation by RNA purification and sequencing)revealed that these genes contained enriched chromatin binding sites for LLNLR-299G3.1.Rescue experiments confirmed that the effects of LLNLR-299G3.1 on ESCC cell proliferation were dependent on interaction with HRH3 and TNFRSF4.Therapeutically,intravenous delivery of placental chondroitin sulfate A binding peptide-coated nanoparticles containing antisense oligonucleotide(pICSA-BP-ANPs)strongly inhibited ESCC tumor growth and significantly improved animal survival in vivo.Overall,our results suggest that LLNLR-299G3.1 promotes ESCC malignancy through regulating gene-chromatin interactions and targeting ESCC by pICSA-BP-ANPs may be an effective strategy for the treatment of lncRNA-associated ESCC. | LI TIAN YONGYI HUANG BAOZHEN ZHANG YI SONG LIN YANG QIANQIAN CHEN ZHENG WANG YILING WANG QIHAN HE WENHAN YANG SHUYONG YU TIANYU LU ZICHEN LIU KAIPING GAO XIUJUN FAN JIAN SONG RIHONG ZHAI | 2023 | Oncology Research2023，31，4： | 0 |
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