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Comparative study of anti-inflammatory effects of different processed products through the COX-2/PGE2 signaling pathway: based on network pharmacology and molecular docking

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Pharmacology Discovery 2024年第2期4卷 32-45页

作者： Ping Chen Yun-Yun Quan An-Qi zeng Ying dai Jin zeng Translational Chinese Medicine Key Laboratory of Sichuan Province Sichuan Academy of Chinese Medicine SciencesChengdu 610041China Translational Chinese Medicine Key Laboratory of Sichuan Province Sichuan Institute for Translational Chinese MedicineChengdu 610041China

background:Radix Aconiti Lateralis Preparata(Fu-zi)is a traditional Chinese medicinal herb,which has been widely used in the clinic and has potent anti-inflammatory *** aimed to explore the mechanisms of extract containing alkaloids from different Fu-zi Processed Products(FPP)in treating inflammation,especially rheumatoid arthritis(RA).Methods:Firstly,using network pharmacology technology,the ingredients,and targets of Fu-zi were obtained by searching and screening,the targets involving RA were acquired,the intersection targets were constructed a"component-target-pathway"network.A comprehensive investigation was conducted on the anti-rheumatoid arthritis mechanisms of 5 FPPs in lipopolysaccharide(LPS)induced RAW264.7 cells,which serve as a model for *** production of NO and inflammatory cytokines were measured by ELISA *** Real-time PCR(qRT-PCR)was utilized to measure the mRNA ***-2/PGE2 signaling pathway-associated proteins were determined by western ***:According to a network pharmacological study,16 chemical components and 43 common targets were found in Fu-zi and 6 key targets including PTGS2 were closely related to the mechanism of Fu-zi in treating *** in vitro study revealed that the levels of NO,TNF-α,and IL-1βwere substantially decreased by the 5 *** 5 FPPs significantly suppressed the expression of proteins COX-2,iNOS,and NF-κb,with particularly notable effects observed for PFz and ***:Altogether,these results demonstrated that the 5 PPS containing alkaloids have a good anti-RA-related inflammatory effect,and the mechanism may be related to COX-2/PGE2 signaling pathway,particularly,Fu-zi prepared utilizing a traditional Chinese technique.

关键词： Radix Aconiti Lateralis Preparata(Fu-zi) rheumatoid arthritis anti-inflammatory network pharmacology COX-2/PGE2 signaling pathway

Converting intercalation-type cathode in spent lithium-ion batteries into conversion-type cathode

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Nano Research 2024年第5期17卷 4602-4609页

作者： Dingding zhu Yong Su Jingzhao Chen Xiangze Ou Xuedong zhang Wen Xie Yuyan zhou Yunna Guo Qiushi dai Peng Jia Jitong Yan Lin Geng baiyu Guo Liqiang zhang Yongfu Tang Qiao Huang Jianyu Huang School of Materials Science and Engineering Xiangtan UniversityXiangtan 411105China Clean Nano Energy Center State Key Laboratory of Metastable Materials Science and TechnologyYanshan UniversityQinhuangdao 066000China

The widespread applications of lithium-ion batteries(LIbs)generate tons of spent ***,recycling LIbs is of paramount importance in protecting the environment and saving the *** commercialized LIbs mostly adopt layered oxides such as LiCoO_(2)(LCO)or LiNi_(x)Co_(y)Mn_(1-x-y)O_(2)(NMC)as the cathode *** the intercalation-type spent oxides into conversion-type cathodes(such as metal fluorides(MFs))offers a valid recycling strategy and provides substantially improved energy densities for ***,two typical Co-based cathodes,LCO and LiNi_(0.6)Co_(0.2)Mn_(0.2)O_(2)(NMC622),in spent LIbs were successfully converted to CoF_(2) and(Ni_(x)Co_(y)Mn_(z))F_(2) cathodes by a reduction and fluorination *** as converted CoF_(2) and(Ni_(x)Co_(y)Mn_(z))F_(2) delivered cell energy densities of 650 and 700 Wh/kg,*** atomic-level electron microscopy revealed that the used LCO and NMC622 were converted to highly phase pure Co metal and Ni_(0.6)Co_(0.2)Mn_(0.2) alloys in the used graphite-assisted reduction roasting,simultaneously producing the important product of Li_(2)CO_(3) using only environment friendly *** study provided a versatile strategy to convert the intercalation-type Co-based cathode in the spent LIbs into conversion-type MFs cathodes,which offers a new avenue to recycle the spent LIbs and substantially increase the energy densities of next generation LIbs.

关键词： spent lithium-ion batteries recycling energy densities conversion-type cathode

Line-of-shower trigger method to lower energy threshold for GRb detection using LHAASO-WCDA

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Radiation Detection Technology and Methods 2021年第4期5卷 531-541页

作者： F.Aharonian Q.An Axikegu L.X.bai Y.X.bai Y.W.bao D.bastieri X.J.bi Y.J.bi H.Cai J.T.Cai z.Cao z.Cao J.Chang J.F.Chang X.C.Chan b.M.Chen J.Chen L.Chen L.Chen L.Chen M.J.Chen M.L.Chen Q.H.Chen S.H.Chen S.z.Chen T.L.Chen X.L.Chen Y.Chen N.Chen Y.D.Chen S.W.Cui X.H.Cui Y.D.Cui b.z.dai H.L.dai z.G.dai Danzengluobu D.della Volpe b.D’Ettorre Piazzoli X.J.Don J.H.Fan Y.z.Fan z.X.Fan J.Fang K.Fan C.F.Feng L.Feng S.H.Fen Y.L.Feng b.Gao C.D.Gao Q.Gao W.Gao M.M.Ge L.S.Gen G.H.Gong Q.b.Gou M.H.Gu J.G.Guo X.L.Guo Y.Q.Guo Y.Y.Guo Y.A.Han H.H.He H.N.He J.C.He S.L.He X.b.He Y.He M.Heller Y.K.Hor C.Hou X.Hou H.b.Hu S.Hu S.C.Hu X.J.Hu D.H.Huang Q.L.Huan W.H.Huang X.T.Huang z.C.Huang F.Ji X.L.Ji H.Y.Jia K.Jiang z.J.Jiang C.Jin D.Kuleshov K.Levochkin b.b.Li C.Li C.Li F.Li H.b.Li H.C.Li H.Y.Li J.Li K.Li W.L.Li X.Li X.Li X.R.Li Y.Li Y.z.Li z.Li z.Li E.W.Liang Y.F.Liang S.J.Lin b.Liu C.Liu D.Liu H.Liu H.D.Liu J.Liu J.L.Liu J.S.Liu J.Y.Liu M.Y.Liu R.Y.Liu S.M.Liu W.Liu Y.N.Liu z.X.Liu W.J.Long R.Lu H.K.Lv b.Q.Ma L.L.Ma X.H.Ma J.R.Mao A.Masood W.Mitthumsiri T.Montaruli Y.C.Nan b.Y.Pang P.Pattarakijwanich z.Y.Pei M.Y.Qi D.Ruffolo V.Rulev A.Sáiz L.Shao O.Shchegolev X.D.Shen J.R.Shi H.C.Song Yu.V.Stenkin V.Stepanov Q.N.Sun X.N.Sun z.b.Sun P.H.T.Tam z.b.Tang W.W.Tian b.D.Wan C.Wang H.Wang H.G.Wang J.C.Wang J.S.Wang L.P.Wang L.Y.Wan R.N.Wang W.Wang W.Wang X.G.Wang X.J.Wan X.Y.Wang Y.D.Wan Y.J.Wan Y.P.Wang z.Wang z.Wang z.H.Wang z.X.Wang D.M.Wei J.J.Wei Y.J.Wei T.Wen C.Y.Wu H.R.Wu S.Wu W.X.Wu X.F.Wu S.Q.Xi J.Xia J.J.Xia G.M.Xiang G.Xiao H.b.Xiao G.G.Xin Y.L.Xin Y.Xing D.L.Xu R.X.Xu L.Xue D.H.Yan C.W.Yang F.F.Yang J.Y.Yang L.L.Yang M.J.Yan R.z.Yang S.b.Yang Y.H.Yao z.G.Yao Y.M.Ye L.Q.Yin N.Yin X.H.You z.Y.You Y.H.Yu Q.Yuan H.D.zeng T.X.zeng W.zeng z.K.zeng M.zha X.X.zhai b.b.zhang H.M.zhang H.Y.zhang J.L.zhang J.W.zhang L.zhang L.zhang L.X.zhang P.F.zhang P.P.zhang R.zhang S.R.zhang S.S.zhan X.zhang X.P.zhan Y.zhan Y.zhang Y.F.zhang Y.L.zhan b.zhao J.zhao L.zhao L.z.zhao S.P.zhao F.zheng Y.zheng b.zhou H.zhou J.N.zhou P.zhou R.zhou X.X.zhou C.G. Key Laboratory of Particle Astrophysics&Experimental Physics Division&Computing Center Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Beijing 100049China TIANFU Cosmic Ray Research Center ChengduSichuanChina State Key Laboratory of Particle Detection and Electronics BeijingChina University of Science and Technology of China Hefei 230026AnhuiChina Department of Engineering Physics Tsinghua UniversityBeijing 100084China National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China National Space Science Center Chinese Academy of SciencesBeijing 100190China School of Physics Peking UniversityBeijing 100871China Center for Astrophysics Guangzhou UniversityGuangzhou 510006GuangdongChina School of Physics and Astronomy&School of Physics(Guangzhou) Sun Yat-sen UniversityZhuhai 519000GuangdongChina School of Physical Science and Technology Guangxi UniversityNanning 530004GuangxiChina Hebei Normal University Shijiazhuang 050024HebeiChina School of Physics and Microelectronics Zhengzhou UniversityZhengzhou 450001HenanChina School of Astronomy and Space Science Nanjing UniversityNanjing 210023JiangsuChina Key Laboratory of Dark Matter and Space Astronomy Purple Mountain ObservatoryChinese Academy of SciencesNanjing 210023JiangsuChina Institute of Frontier and Interdisciplinary Science Shandong UniversityQingdao 266237ShandongChina Key Laboratory for Research in Galaxies and Cosmology Shanghai Astronomical ObservatoryChinese Academy of SciencesShanghai 200030China Tsung-Dao Lee Institute&School of Physics and Astronomy Shanghai Jiao Tong UniversityShanghai 200240China School of Physical Science and Technology&School of Information Science and Technology Southwest Jiaotong UniversityChengdu 610031SichuanChina College of Physics Sichuan UniversityChengdu 610065SichuanChina Key Laboratory of Cosmic Rays(Tibet University) Ministry of EducationLhasa 850000TibetChina School of Physic

Purpose Observation of high energy and very high emission from Gamma Ray bursts(GRbs)is crucial to study the gigantic explosion and the underline *** a large field-of-view and almost full duty cycle,the Water Cherenkov Detector Array(WCDA),a sub-array of the Large High Altitude Air Shower Observatory(LHAASO),is appropriate to monitor the very high energy emission from unpredictable transients such as *** Nevertheless,the main issue for an extensive air shower array is the high energy threshold which limits the horizon of the *** address this issue a new trigger method is developed in this article to lower the energy threshold of WCDA for GRb *** The proposed method significantly improves the detection efficiency of WCDA for gamma-rays around the GRb direction at 10-300 *** sensitivity of the WCDA for GRb detection with the new trigger method is *** achieved sensitivity of the quarter WCDA array above 10 GeV is comparable with that of *** data analysis process and corresponding fluence upper limit for GRb 190719C is presented as an example.

关键词： LHAASO WCDA GRb

A dynamic range extension system for LHAASOWCDA-1

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Radiation Detection Technology and Methods 2021年第4期5卷 520-530页

作者： F.Aharonian Q.An Axikegu L.X.bai Y.X.bai Y.W.bao D.bastieri X.J.bi Y.J.bi H.Cai J.T.Cai z.Cao z.Cao J.Chang J.F.Chang X.C.Chang b.M.Chen J.Chen L.Chen L.Chen L.Chen M.J.Chen M.L.Chen Q.H.Chen S.H.Chen S.z.Chen T.L.Chen X.L.Chen Y.Chen N.Cheng Y.D.Cheng S.W.Cui X.H.Cui Y.D.Cui b.z.dai H.L.dai z.G.dai Danzengluobu D.della Volpe b.D’Ettorre Piazzoli X.J.Dong J.H.Fan Y.z.Fan z.X.Fan J.Fang K.Fang C.F.Feng L.Feng S.H.Feng Y.L.Feng b.Gao C.D.Gao Q.Gao W.Gao M.M.Ge L.S.Geng G.H.Gong Q.b.Gou M.H.Gu J.G.Guo X.L.Guo Y.Q.Guo Y.Y.Guo Y.A.Han H.H.He H.N.He J.C.He S.L.He X.b.He Y.He M.Heller Y.K.Hor C.Hou X.Hou H.b.Hu S.Hu S.C.Hu X.J.Hu D.H.Huang Q.L.Huang W.H.Huang X.T.Huang Y.Huang z.C.Huang F.Ji X.L.Ji H.Y.Jia K.Jiang z.J.Jiang C.Jin D.Kuleshov K.Levochkin b.b.Li C.Li C.Li F.Li H.b.Li H.C.Li H.Y.Li J.Li K.Li W.L.Li X.Li X.Li X.R.Li Y.Li Y.z.Li z.Li z.Li E.W.Liang Y.F.Liang S.J.Lin b.Liu C.Liu D.Liu H.Liu H.D.Liu J.Liu J.L.Liu J.S.Liu J.Y.Liu M.Y.Liu R.Y.Liu S.M.Liu W.Liu Y.N.Liu z.X.Liu W.J.Long R.Lu H.K.Lv b.Q.Ma L.L.Ma X.H.Ma J.R.Mao A.Masood W.Mitthumsiri T.Montaruli Y.C.Nan b.Y.Pang P.Pattarakijwanich z.Y.Pei M.Y.Qi D.Ruffolo V.Rulev A.Sáiz L.Shao O.Shchegolev X.D.Sheng J.R.Shi H.C.Song Yu.V.Stenkin V.Stepanov Q.N.Sun X.N.Sun z.b.Sun P.H.T.Tam z.b.Tang W.W.Tian b.D.Wang C.Wang H.Wang H.G.Wang J.C.Wang J.S.Wang L.P.Wang L.Y.Wang R.N.Wang W.Wang W.Wang X.G.Wang X.J.Wang X.Y.Wang Y.D.Wang Y.J.Wang Y.P.Wang z.Wang z.Wang z.H.Wang z.X.Wang D.M.Wei J.J.Wei Y.J.Wei T.Wen C.Y.Wu H.R.Wu S.Wu W.X.Wu X.F.Wu S.Q.Xi J.Xia J.J.Xia G.M.Xiang G.Xiao H.b.Xiao G.G.Xin Y.L.Xin Y.Xing D.L.Xu R.X.Xu L.Xue D.H.Yan C.W.Yang F.F.Yang J.Y.Yang L.L.Yang M.J.Yang R.z.Yang S.b.Yang Y.H.Yao z.G.Yao Y.M.Ye L.Q.Yin N.Yin X.H.You z.Y.You Y.H.Yu Q.Yuan H.D.zeng T.X.zeng W.zeng z.K.zeng M.zha X.X.zhai b.b.zhang H.M.zhang H.Y.zhang J.L.zhang J.W.zhang L.zhang L.zhang L.X.zhang P.F.zhang P.P.zhang R.zhang S.R.zhang S.S.zhang X.zhang X.P.zhang Y.zhang Y.zhang Y.F.zhang Y.L.zhang b.zhao J.zhao L.zhao L.z.zhao S.P.zhao F.zheng Y.zheng b.zhou H.zhou J.N.zhou Key Laboratory of Particle Astrophyics&Experimental Physics Division&Computing Center Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Beijing 100049China TIANFU Cosmic Ray Research Center ChengduSichuanChina State Key Laboratory of Particle Detection and Electronics BeijingChina University of Science and Technology of China Hefei 230026AnhuiChina Department of Engineering Physics Tsinghua UniversityBeijing 100084China National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China National Space Science Center Chinese Academy of SciencesBeijing 100190China School of Physics Peking UniversityBeijing 100871China Center for Astrophysics Guangzhou UniversityGuangzhou 510006GuangdongChina School of Physics and Astronomy&School of Physics(Guangzhou) Sun Yat-sen UniversityZhuhai 519000GuangdongChina School of Physical Science and Technology Guangxi UniversityNanning 530004GuangxiChina Hebei Normal University Shijiazhuang 050024HebeiChina School of Physics and Microelectronics Zhengzhou UniversityZhengzhou 450001HenanChina School of Astronomy and Space Science Nanjing UniversityNanjing 210023JiangsuChina Key Laboratory of Dark Matter and Space Astronomy Purple Mountain ObservatoryChinese Academy of SciencesNanjing 210023JiangsuChina Institute of Frontier and Interdisciplinary Science Shandong UniversityQingdao 266237ShandongChina Key Laboratory for Research in Galaxies and Cosmology Shanghai Astronomical ObservatoryChinese Academy of SciencesShanghai 200030China Tsung-Dao Lee Institute&School of Physics and Astronomy Shanghai Jiao Tong UniversityShanghai 200240China School of Physical Science and Technology&School of Information Science and Technology Southwest Jiaotong UniversityChengdu 610031SichuanChina College of Physics Sichuan UniversityChengdu 610065SichuanChina Key Laboratory of Cosmic Rays(Tibet University) Ministry of EducationLhasa 850000TibetChina School of Physics

Purpose The main scientific goal of LHAASO-WCDA is to survey gamma-ray sources with energy from 100 GeV to 30 *** observe high-energy shower events,especially to measure the energy spectrum of cosmic rays from 100 TeV to 10 PeV,a dynamic range extension system(WCDA++)is designed to use a 1.5-inch PMT with a dynamic range of four orders of magnitude for each cell in *** The dynamic range is extended by using these PMTs to measure the effective charge density in the core region of air shower events,which is an important parameter for identifying the composition of primary *** and Conclusion The system has been running for more than one *** this paper,the details of the design and performance of WCDA++are presented.

关键词： LHAASO-WCDA WCDA++ Water Cherenkov detector Performance

Prospects for a multi-TeV gamma-ray sky survey with the LHAASO water Cherenkov detector array

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Chinese Physics C 2020年第6期44卷 123-132页

作者： F.Aharonian V.Alekseenko 安琪 Axikegu 白立新包逸炜 D.bastieri 毕效军蔡浩曹喆曹臻常进常劲帆常潇川赵世平陈宝民陈建陈良陈亮陈玛丽陈明君陈起辉陈素弘陈松战陈天禄陈秀林陈阳程宁程耀东崔树旺崔晓红崔昱东 b.z.dai H.L.dai z.G.dai Danzengluobu b.D'Ettorre Piazzoli J.Fang 樊军辉范一中冯存峰冯莉冯少辉冯有亮高博高启高卫葛茂茂耿利斯龚光华苟全补顾旻皓郭义庆郭莹莹韩毅昂何会海何坚承 M.Heller 何思乐何钰侯超黄代绘黄秋兰黄文昊黄性涛胡红波胡森贾焕玉江琨纪方靳超季筱璐 K.Levochkin 梁恩维梁云峰李澄李骢李飞李辉李海波李会财李鸿明李捷李凯李文龙李新李秀荣李尧李哲黎卓刘冰刘成刘栋刘海东刘虎刘佳刘金艳刘茂元刘若愚刘四明刘伟刘以农刘彰兴龙文杰鲁睿吕洪魁马伯强马玲玲毛基荣 A.Masood 马欣华 W.Mitthumsiri T.Montaruli 南云程 P.Pattarakijwanich 裴致远乔冰强齐孟尧 D.Ruffolo V.Rulev A.Sáiz 邵琅 O.Shchegolev 盛祥东石京燕 Y.Stenkin V.Stepanov 孙志斌谭柏轩唐泽波田文武 D.D.Volpe 王超王辉王洪光王建成王玲玉王为王伟王祥高王祥玉王晓洁王玉东王岩瑾王润娜王亚平王铮王忠海王仲翔韦大明魏俊杰文涛吴超勇吴含荣武莎吴文雄吴雪峰项光漫肖刚辛广广邢祎徐仁新薛良闫大海杨朝文杨冯帆杨莉莉杨明洁杨睿智杨深邦姚玉华姚志国叶一锰尹丽巧尹娜游晓浩游智勇袁强于艳红姜泽军曾厚敦曾婷轩曾玮曾宗康查敏张彬彬张海明张恒英张建立张进文张力张鹏飞张佩佩张少如张寿山张潇张笑鹏张毅张勇张云峰赵兵赵静赵雷赵立志郑福郑应周佳能周平周荣周勋秀祝成光祝凤荣朱辉朱科军左雄 Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Beijing 100049China TIANFU Cosmic Ray Research Center ChengduShichuanChina University of Science and Technology of China 230026 HefeiAnhuiChina Tsinghua University 100084 BeijingChina National Astronomical Observatories Chinese Academy of Sciences100101 BeijingChina National Space Science Center Chinese Academy of Sciences100190 BeijingChina School of Physics Peking University100871 BeijingChina Center for Astrophysics Guangzhou University510006 GuangzhouGuangdongChina Sun Yat-sen University 519000 ZhuhaiGuangdongChina Shool of Physics and Technology Guangxi University530004 NanningGuangxiChina Hebei Normal University 050024 ShijiazhuangHebeiChina School of Physics and Engineering Zhengzhou University450001 ZhengzhouHenanChina Nanjing University 210023 NanjingJiangsuChina Key Laboratory of Dark Matter and Space Astronomy Purple Mountain ObservatoryChinese Academy of Sciences210034 NanjingJiangsuChina Institute of Frontier and Interdisciplinary Science Shandong University266237 QingdaoShandongChina Shanghai Astronomical Observatory Chinese Academy of Sciences200030 ShanghaiChina School of Physical Science and Technology Southwest Jiaotong University610031 ChengduSichuanChina Sichuan University 610065 ChengduSichuanChina Key Laboratory of Cosmic Rays(Tibet University) Ministry of Education850000 LhasaTibetChina School of physics and technology Wuhan university430072 WuhanChina Yunnan University 650091 KunmingYunnanChina Yunnan Astronomical Observatories Chinese Academy of Sciences650216 KunmingYunnanChina Institute for Nuclear Research Russian Academy of SciencesMoscowRussia Département de Physique Nucléaire et Corpusculaire Facultéde SciencesUniversitéde GenéveGenevaSwitzerland Department of Physics Faculty of ScienceMahidol UniversityBangkokThailand Dublin Institute for Advanced Studies 31 Fitzwilliam PlaceDublin 2Ireland Max-Planc

The Water Cherenkov Detector Array(WCDA) is a major component of the Large High Altitude Air Shower Array Observatory(LHAASO), a new generation cosmic-ray experiment with unprecedented sensitivity, currently under construction. WCDA is aimed at the study of TeV γ-rays. In order to evaluate the prospects of searching for TeV γ-ray sources with WCDA, we present a projection of the one-year sensitivity of WCDA to TeV γ-ray sources from TeVCat using an all-sky approach. Out of 128 TeVCat sources observable by WCDA up to a zenith angle of 45°, we estimate that 42 would be detectable in one year of observations at a median energy of 1 TeV. Most of them are Galactic sources, and the extragalactic sources are Active Galactic Nuclei(AGN).

关键词： TeVγ-ray astronomy observational prospect LHAASO-WCDA

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全球变暖与城市

气候变化研究进展 2024年第4期20卷 504-508页

作者：赵宗慈罗勇黄建斌清华大学地球系统科学系中国气象局国家气候中心中国科学院大学资源环境学院

城市(city)、城镇（town）和都市（urban）都是城市的考虑范围。城市的界定是一个复杂的问题，直到目前为止，没有一个确定城市边界的国际标准。一般以大量人居住与生活和工作的地方，政府、商业与运输的枢纽为城市，考虑“城市本身”...

城市(city)、城镇（town）和都市（urban）都是城市的考虑范围。城市的界定是一个复杂的问题，直到目前为止，没有一个确定城市边界的国际标准。一般以大量人居住与生活和工作的地方，政府、商业与运输的枢纽为城市，考虑“城市本身”“城市聚集”“大城市区”等作为界定。世界上超过一半人口生活在城市，处在气候变化的前沿。

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Research foresight in bridging open science and open innovation:Overview based on the complex thinking paradigm

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International Journal of Innovation Studies 2024年第1期8卷 59-75页

作者： Jorge Sanabria-z Marco Cruz-Sandoval Athziri Moreno-Romo Sofía bosch-Gómez María Soledad Ramírez-Montoya Institute for the Future of Education Tecnologico de MonterreyZapopan45201Mexico Central bohemian Innovation Center(SIC) PragueCzech Republic The burnes Center for Social Change Northeastern UniversityBostonMA02115USA Institute for the Future of Education Tecnologico de MonterreyMonterrey64700Mexico

Open innovation benefits from access to cutting-edge discoveries to increase their transformation into tangible applications for the benefit of *** research quality has been proposed as a primary objective of open science by the United Nations,to increase science reproducibility,impact,and trust,leading to robust decision-making and ***,opening access to data and processes is insufficient for researchers to achieve open innovation in the context of globalization,for example,by gathering insights from external and internal *** the appropriate mindset to manage complexity and generate synergy among researchers in academia,industry,and the government is essential to catalyze knowledge and transform it into relevant innovations for *** gain insights into the roles and challenges of researchers aiming to bridge the gap between open science and open innovation,a decade-plus Mapping Literature Review was conducted based on the complex thinking *** thinking allows for novel connections of the information collected through open science and open innovation,considering different forms of engaging with alternative means of knowledge creation that may promote innovative and critical *** findings revealed:a)broad positioning of the terms in the European Union;b)open access and open data as current driving themes;c)a constant trade-off between the terms“open data”and“information protection”;d)lack of studies on researchers’complex thinking to help them manage openness;e)absence of the environmental helix in the initiatives;and(f)challenges in innovative communication and collaborative practices among public and private ***,we identified an opportunity to develop researchers’complex thinking such that the openness of information becomes a shared responsibility among partners across multiple *** shared responsibility can have methodological implications that permeate how open science and ope

关键词： Open innovation Open science Complex thinking Ecosystems Research enhancement Educational innovation Higher education

Development,validation,and transportability of several machine-learned,non-exercise-based VO_(2max)prediction models for older adults

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Journal of Sport and Health Science 2024年第5期13卷 611-620页

作者： benjamin T.Schumacher Michael J.LaMonte Andrea z.LaCroix Eleanor M.Simonsick Steven P.Hooker Humberto Parada Jr. John bellettiere Arun Kumar Herbert Wertheim School of Public Health and Human Longevity Science University of California San DiegoLa JollaCA 92093USA Department of Epidemiology and Environmental Health School of Public Health and Health ProfessionsUniversity at BuffaloState University of New YorkBuffaloNY 14214USA Translational Gerontology branch Intramural Research ProgramNational Institute on AgingNational Institutes of HealthBaltimoreMD 21225USA College of Health and Human Services San Diego State UniversitySan DiegoCA 92182USA Division of Epidemiology and biostatistics School of Public HealthSan Diego State UniversitySan DiegoCA 92182USA University of California San Diego Moores Cancer Center La JollaCA 92093USA Computer Science and Engineering and Halicioglu Data Science Institute University of California San DiegoLa JollaCA 92093USA

background:There exist few maximal oxygen uptake(VO_(2max))non-exercise-based prediction equations,fewer using machine learning(ML),and none specifically for older *** direct measurement of VO_(2max)is infeasible in large epidemiologic cohort studies,we sought to develop,validate,compare,and assess the transportability of several ML VO_(2max)prediction ***:The baltimore Longitudinal Study of Aging(bLSA)participants with valid VO2_(max)tests were included(n=1080).Least absolute shrinkage and selection operator,linear-and tree-boosted extreme gradient boosting,random forest,and support vector machine(SVM)algorithms were trained to predict VO_(2max)*** developed these algorithms for:(a)the overall bLSA,(b)by sex,(c)using all bLSA variables,and(d)variables common in aging ***,we quantified the associations between measured and predicted VO_(2max)and ***:The age was 69.0±10.4 years(mean±SD)and the measured VO_(2max)was 21.6±5.9 mL/kg/*** absolute shrinkage and selection operator,linear-and tree-boosted extreme gradient boosting,random forest,and support vector machine yielded root mean squared errors of 3.4 mL/kg/min,3.6 mL/kg/min,3.4 mL/kg/min,3.6 mL/kg/min,and 3.5 mL/kg/min,*** quartiles of measured VO_(2max)showed an inverse gradient in mortality *** VO_(2max)variables yielded similar effect estimates but were not robust to ***:Measured VO_(2max)is a strong predictor of *** ML can improve the accuracy of prediction as compared to simpler approaches but estimates of association with mortality remain sensitive to *** studies should seek to reproduce these results so that VO_(2max),an important vital sign,can be more broadly studied as a modifiable target for promoting functional resiliency and healthy aging.

关键词： Cardiorespiratory fitness Prediction algorithms Epidemiology Mortality

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Nearest Neighbor Sampling of Point Sets Using Rays

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Communications on Applied Mathematics and Computation 2024年第2期6卷 1131-1174页

作者： Liangchen Liu Louis Ly Colin b.Macdonald Richard Tsai Department of Mathematics The University of Texas at Austin2515 SpeedwayAustinTX 78712USA Oden Institute for Computational Engineering and Sciences The University of Texas at Austin201 E24th StAustinTX 78712USA Department of Mathematics University of British Columbia1984 Mathematics RdVancouverBCV6T1Z2Canada

We propose a new framework for the sampling,compression,and analysis of distributions of point sets and other geometric objects embedded in Euclidean *** approach involves constructing a tensor called the RaySense sketch,which captures nearest neighbors from the underlying geometry of points along a set of *** explore various operations that can be performed on the RaySense sketch,leading to different properties and potential *** information about the data set can be extracted from the sketch,independent of the ray *** integrals on point sets can be efficiently computed using the *** also present several examples illustrating applications of the proposed strategy in practical scenarios.

关键词： Point clouds Sampling Classification Registration Deep learning Voronoi cell analysis