|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Molecular signaling mechanisms of apoptosis in hereditary non-polyposis colorectal cancer显示文摘Colorectal cancer is the second most leading cause of cancer related deaths in the western countries. One of the forms of colorectal cancer is hereditary non-polyposis colorectal cancer (HNPCC), also known as 'Lynch syndrome'. It is the most common hereditary form of cancer accounting for 5%-10% of all colon cancers. HNPCC is a dominant autosomal genetic disorder caused by germ line mutations in mismatch repair genes. Human mismatch repair genes play a crucial role in genetic stability of DNA, the inactivation of which results in an increased rate of mutation and often a loss of mismatch repair function. Recent studies have shown that certain mismatch repair genes are involved in the regulation of key cellular processes including apoptosis. Thus, differential expression of mismatch repair genes particularly the contributions of MLH1 and MSH2 play important roles in therapeutic resistance to certain cytotoxic drugs such as cisplatin that is used normally as chemoprevention. An understanding of the role of mismatch repair genes in molecular signaling mechanism of apoptosis and its involvement in HNPCC needs attention for further work into this important area of cancer research, and this review article is intended to accomplish that goal of linkage of apoptosis with HNPCC. The current review was not intended to provide a comprehensive enumeration of the entire body of literature in the area of HNPCC or mismatch repair system or apoptosis; it is rather intended to focus primarily on the current state of knowledge of the role of mismatch repair proteins in molecular signaling mechanism of apoptosis as it relates to understanding of HNPCC. | Samar Hassen Nawab Ali Parimal Chowdhury | 2012 | World Journal of Gastrointestinal Pathophysiology2012，3，3： | 7 |
| 2 | 早期认知障碍患者的认知功能和双重任务步态的临床研究显示文摘目的:探索早期认知障碍患者双重任务下步态参数与认知功能之间的关系。方法:本研究共纳入轻度认知障碍者(MCI)20例,主观认知下降者(SCD)34例,认知功能正常者(NC)24例,均采用三维运动捕捉系统及建模仿真分析软件进行单任务及双重任务下步态参数(步长、步速、步频、步态周期)的采集与分析。结果:双重任务下MCI组步频(步/min)(102.173±11.941)小于SCD组步频(110.500±10.435)(P<0.01);MCI组步态周期(s)(1.209±0.133)较NC组步态周期(1.122±0.117)和SCD组步态周期长(1.116±0.102)(P<0.01)。NC组在双重任务下步长(m)及步速(m/s)下降(P<0.01);SCD组在双重任务下步长、步速及步频均下降(P<0.05);MCI组在双重任务下步速、步频及步态周期均下降(P<0.01)。相关性分析显示步速与记忆和语言功能存在正性相关(P=0.005,r=0.312;P=0.014,r=0.277;P=0.005,r=0.317),步频与记忆功能存在正性相关(P=0.010,r=0.289;P=0.012,r=0.283),步态周期与记忆功能存在负性相关(P=0.001,r=﹣0.354),与执行功能存在正性相关(P=0.022,r=0.258)。结论:双重任务下步态参数可作为早期评估认知功能的辅助指标。 | 钟倩 朱奕 吴含 高雅新 孙翠云 Nawab Ali 吴希希 王彤 | 2021 | 中国康复医学杂志2021，36，5： | 6 |
| 3 | 不同认知任务对轻度认知障碍老年人步行速度和双重任务消耗的影响研究显示文摘目的:探索不同认知任务对轻度认知障碍(mild cognitive impairment,MCI)和正常老年人(normal cognition,NC)步行速度和双重任务消耗(dual-task costs,DTC)的影响。方法:根据最新诊断标准入组MCI和NC老年人,采用2m长的电子步道进行双重任务步态采集。每位受试者完成一项单任务步行和4项不同认知任务的双重任务步行(步行+计算,步行+说动物名,步行+记忆故事,步行+记忆词语)。计算不同任务下的步行速度和DTC并分析其组间差异。DTC是指单任务和双重任务步行速度之间差异的百分比:[(单任务速度-双重任务速度)/单任务速度]×100%。结果:本研究入组MCI老年人18人和NC老年人25人。两组间年龄、性别、教育年限等基线数据组间没有差异(P>0.05)。MCI和NC的四个不同认知任务之间存在显著性差异(P=0.004,P=0.010)。MCI仅有记忆单词下双重任务步行速度的DTC显著高于NC组(P=0.034)。结论:MCI和NC老年人不同认知任务下的DTC存在显著性差异。MCI老年人记忆单词的双重任务DTC显著高于正常老年人。 | 朱奕 钟倩 马锦辉 周秋敏 沈滢 吴含 高雅新 Ali Nawab 吴希希 孙翠云 余滨宾 王彤 | 2020 | 中国康复医学杂志2020，35，12： | 5 |
| 4 | 阿尔茨海默病临床前期患者步行+词语记忆双重任务下步行能力与认知功能的相关性研究显示文摘背景研究表明,双重任务步态检测认知功能较为敏感,尤其针对认知障碍症状不明显的患者。但以往常用的双重任务方案如步行+计算、步行+说动物名对于轻度认知障碍(MCI)和主观认知下降(SCD)患者并不敏感,考虑阿尔茨海默病(AD)相关认知障碍首先损伤的是记忆能力,故本研究采用步行+词语记忆双重任务方案。目的分析AD临床前期患者步行+词语记忆双重任务下步行能力与认知功能的相关性,为步行+词语记忆双重任务用于AD临床前期认知障碍的筛查提供依据。方法2019年6—10月,通过报纸、新媒体等形式招募到95例受试者,根据纳入与排除标准最终纳入73例受试者,分别为MCI组18例、SCD组30例、认知正常(NC)组25例。采用2 m长的电子步道进行步行数据采集,要求每例受试者完成单任务及步行+词语记忆双重任务;采用听觉词语学习测验华山版(AVLT-H)、连线测试A-B(TMT A-B)、动物词语流畅性测验(AFT)和波士顿命名测验(BNT)评估受试者认知功能,并采用Pearson相关分析或Spearman秩相关分析探讨MCI和SCD患者单任务下步行速度及步行+词语记忆双重任务下步行速度、双重任务消耗(DTC)与认知功能指标的相关性。结果三组受试者单任务下步行速度及步行+词语记忆双重任务下步行速度、DTC比较,差异无统计学意义(P>0.05);MCI组患者步行+词语记忆双重任务下DTC高于NC组(P<0.05)。在MCI和SCD患者中,单任务下步行速度仅与长延迟回忆评分呈正相关(P<0.05);步行+词语记忆双重任务下步行速度与长延迟回忆评分、AFT评分呈正相关,与TMT-A用时、TMT-B用时呈负相关(P<0.05);步行+词语记忆双重任务下DTC与TMT-A用时、TMT-B用时呈正相关,与AFT评分呈负相关(P<0.05)。结论步行+词语记忆双重任务下DTC可能用于区分MCI和NC,且步行+词语记忆双重任务下步行速度、DTC与AD前期患者记忆、执行及语言功能有关。 | 孙翠云 朱奕 吴含 钟倩 高雅新 马锦辉 周秋敏 沈滢 Ali Nawab 吴希希 彭丽君 余滨宾 王彤 | 2021 | 实用心脑肺血管病杂志2021，29，3： | 3 |
| 5 | Morphometry of leaf and shoot variables to assess aboveground biomass structure and carbon sequestration by different varieties of white mulberry(Morus alba L.)显示文摘Mulberry is economically important and can also play a pivotal role in mitigating greenhouse gases.Leaf and shoot traits were measured for Morus alba var.Kanmasi,M.alba var.Karyansuban,M.alba var.Latifolia,and M.alba var.PFI-1 to assess aboveground biomass(AGB)and carbon sequestration.Variety-specific and multivariety allometric AGB models were developed using the equivalent diameter at breast height(EDBH)and plant height(H).The completeharvest method was used to measure leaf and shoot traits and biomass,and the ash method was used to measure organic carbon content.The results showed significant(p<0.01)varietal differences in leaf and shoot traits,AGB and carbon sequestration.PFI-1 variety had the greatest leaf density(mean±SE:1828.3±0.3 leaves tree^(-1)),Karyansuban had the largest mean leaf area(185.94±8.95 cm^(2)).A diminishing return was found between leaf area and leaf density.Latifolia had the highest shoot density per tree(46.6±1.83 shoots tree^(-1)),total shoot length(264.1±2.32 m),dry biomass(16.69±0.58 kg tree^(-1)),carbon sequestration(9.99±0.32 kg tree^(-1))and CO_(2) mitigation(36.67±1.16 kg).The variety-specific AGB models b(EDBH)and b(EDBH)2 showed good fit and reasonable accuracy with a coefficient of determination(R^(2))=0.98-0.99,standard error of estimates(SEE)=0.1125-0.3130 and root mean square error(RMSE)=0.1084-0.3017.The multivariety models bln(EDBH)and(EDBH)0.756 showed good-fitness and accuracy with R^(2)=0.85-0.86,SEE=1.6231-1.6445 and RMSE=1.609-1.630.On the basis of these findings,variety Latifolia has good potential for biomass production,and allometric equations based on EDBH can be used to estimate AGB with a reasonable accuracy. | Ghulam Ali Bajwa Muhammad Umair Yasir Nawab Zahid Rizwan | 2021 | Journal of Forestry Research2021，32，6： | 2 |
| 6 | Prevalent fecal contamination in drinking water resources and potential health risks in Swat, Pakistan显示文摘Fecal bacteria contaminate water resources and result in associated waterborne diseases.This study assessed drinking water quality and evaluated their potential health risks in Swat, Pakistan. Ground and surface drinking water were randomly collected from upstream to downstream in the River Swat watershed and analyzed for fecal contamination using fecal indicator bacteria(Escherichia coli) and physiochemical parameters(potential of hydrogen, turbidity, temperature, electrical conductivity, total dissolved solid, color, odor and taste). The physiochemical parameters were within their safe limits except in a few locations, whereas, the fecal contaminations in drinking water resources exceeded the drinking water quality standards of Pakistan Environmental Protection Agency(Pak-EPA),2008 and World Health Organization(WHO), 2011. Multivariate and univariate analyses revealed that downstream urbanization trend, minimum distance between water sources and pit latrines/sewerage systems, raw sewage deep well injection and amplified urban,pastures and agricultural runoffs having human and animal excreta were the possible sources of contamination. The questionnaire survey revealed that majority of the local people using 10–20 years old drinking water supply schemes at the rate of 73% well supply,13% hand pump supply, 11% spring supply and 3% river/streams supply, which spreads high prevalence of water borne diseases including hepatitis, intestinal infections and diarrhea, dysentery, cholera, typhoid fever, jaundice and skin diseases in children followed by older and younger adults. | Kifayatullah Khan Yonglong Lu Mian Abdal Saeed Hazrat Bilal Hassan Sher Hizbullah Khan Jafar Ali Pei Wang Herman Uwizeyimana Yvette Baninla Qifeng Li Zhaoyang Liu Javed Nawab Yunqiao Zhou Chao Su Ruoyu Liang | 2018 | Journal of Environmental Sciences2018，30，10： | 1 |
| 7 | 认知障碍患者背外侧前额叶功能连接与认知-步行能力的关系研究显示文摘目的:本研究采用功能磁共振研究主观认知下降(subjective cognitive decline,SCD)及轻度认知障碍(mild cognitive impairment,MCI)患者的背外侧前额叶(dorsal lateral prefrontal cortex,DLPFC)与运动控制相关脑区的功能连接的特征性改变,并探索其与认知评估及双重任务下步态参数之间的关系。方法:共纳入76例中老年人,根据分组标准分为MCI组(25例)、SCD组(29例)和正常对照(normal control,NC)组(22例)。对入组中老年人进行神经心理学测评、静息态功能磁共振扫描和双重任务步态采集。计算出左侧DLPFC和双侧额上回内侧部、楔前叶、颞中回的功能连接(functional connectivity,FC)值并采用多元线性回归分析其与认知-步行能力之间的关系。结果:三组间年龄、性别比、基础病等基本资料无显著性差异(P>0.05)。三组间多项神经心理学测试结果有显著性差异(P<0.05)。MCI组与SCD组及NC组相比,双侧DLPFC与多个脑区的功能连接增强,且功能连接增强受到执行功能和记忆功能下降、认知消耗增高和双重任务步速减慢的影响(P<0.05)。结论:相比于SCD患者和健康中老年人,MCI患者双侧DLPFC与额、颞、顶叶多个脑区之间的功能连接出现代偿性增强。静息状态下左侧DLPFC功能连接受到记忆、执行功能、双重任务消耗、双重任务步速及年龄影响。 | 高雅新 王彤 祁鸣 唐银 吴含 钟倩 张玲 丁洪园 孙翠云 田慧芳 Nawab Ali 朱奕 | 2021 | 中国康复医学杂志2021，36，12： | 1 |
| 8 | Fixed point and coupled fixed point theorems on b-metric-like spaces 显示文摘 | Mohammed Ali Alghamdil Nawab Hussain | 2013 | Journal of Inequalities and Applications2013，402，： | 1 |
| 9 | Splittstoesser Regeneration of Cucumis sativus from Cotyledons of Small Explants显示文摘 | Nawab Ali Robert M Skirvin Walter E | 1991 | HortScience1991，26，7： | 1 |
| 10 | Feasibility and physics potential of detecting ^(8)B solar neutrinos at JUNO显示文摘The Jiangmen Underground Neutrino Observatory(JUNO)features a 20 kt multi-purpose underground liquid scintillator sphere as its main detector.Some of JUNO's features make it an excellent location for^8B solar neutrino measurements,such as its low-energy threshold,high energy resolution compared with water Cherenkov detectors,and much larger target mass compared with previous liquid scintillator detectors.In this paper,we present a comprehensive assessment of JUNO's potential for detecting^8B solar neutrinos via the neutrino-electron elastic scattering process.A reduced 2 MeV threshold for the recoil electron energy is found to be achievable,assuming that the intrinsic radioactive background^(238)U and^(232)Th in the liquid scintillator can be controlled to 10^(-17)g/g.With ten years of data acquisition,approximately 60,000 signal and 30,000 background events are expected.This large sample will enable an examination of the distortion of the recoil electron spectrum that is dominated by the neutrino flavor transformation in the dense solar matter,which will shed new light on the inconsistency between the measured electron spectra and the predictions of the standard three-flavor neutrino oscillation framework.IfDelta m^(2)_(21)=4.8times10^(-5);(7.5times10^(-5))eV^(2),JUNO can provide evidence of neutrino oscillation in the Earth at approximately the 3sigma(2sigma)level by measuring the non-zero signal rate variation with respect to the solar zenith angle.Moreover,JUNO can simultaneously measureDelta m^2_(21)using^8B solar neutrinos to a precision of 20% or better,depending on the central value,and to sub-percent precision using reactor antineutrinos.A comparison of these two measurements from the same detector will help understand the current mild inconsistency between the value of Delta m^2_(21)reported by solar neutrino experiments and the KamLAND experiment. | Angel Abusleme Thomas Adam Shakeel Ahmad Sebastiano Aiello Muhammad Akram Nawab Ali Fengpeng An Guangpeng An Qi An Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Andrej Babic Wander Baldini Andrea Barresi Eric Baussan Marco Bellato Antonio Bergnoli Enrico Bernieri David Biare Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Max Buesken Mario Buscemi Jose Busto Ilya Butorov Anatael Cabrera Hao Cai Xiao Cai Yanke Cai Zhiyan Cai Antonio Cammi Agustin Campeny Chuanya Cao Guofu Cao Jun Cao Rossella Caruso Cédric Cerna Jinfan Chang Yun Chang Pingping Chen Po-An Chen Shaomin Chen Shenjian Chen Xurong Chen Yi-Wen Chen Yixue Chen Yu Chen Zhang Chen Jie Cheng Yaping Cheng Alexander Chepurnov Davide Chiesa Pietro Chimenti Artem Chukanov Anna Chuvashova Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Salvatore Costa Flavio Dal Corso Christophe De La Taille Jiawei Deng Zhi Deng Ziyan Deng Wilfried Depnering Marco Diaz Xuefeng Ding Yayun Ding Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Georgy Donchenko Jianmeng Dong Damien Dornic Evgeny Doroshkevich Marcos Dracos Frédéric Druillole Shuxian Du Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Lukas Fajt Donghua Fan Lei Fan Can Fang Jian Fang Marco Fargetta Anna Fatkina Dmitry Fedoseev Vladko Fekete Li-Cheng Feng Qichun Feng Richard Ford Andrey Formozov Amélie Fournier Haonan Gan Feng Gao Alberto Garfagnini Alexandre Göttel Christoph Genster Marco Giammarchi Agnese Giaz Nunzio Giudice Franco Giuliani Maxim Gonchar Guanghua Gong Hui Gong Oleg Gorchakov Yuri Gornushkin Marco Grassi Christian Grewing Maxim Gromov Vasily Gromov Minghao Gu Xiaofei Gu Yu Gu Mengyun Guan Nunzio Guardone Maria Gul Cong Guo Jingyuan Guo Wanlei Guo Xinheng Guo Yuhang Guo Paul Hackspacher Caren Hagner Ran Han Yang Han Miao He Wei He Tobias Heinz Patrick Hellmuth Yuekun Heng Rafael Herrera Daojin Hong YuenKeung Hor Shaojing Hou Yee Hsiung Bei-Zhen Hu Hang Hu Jianrun Hu Jun Hu Shouyang Hu Tao Hu Zhuojun Hu Chunhao Huang Guihong Huang Hanxiong Huang Qinhua Huang Wenhao Huang Xingtao Huang Yongbo Huang Jiaqi Hui Wenju Huo Cédric Huss Safeer Hussain Antonio Insolia Ara Ioannisian Daniel Ioannisyan Roberto Isocrate Kuo-Lun Jen Xiaolu Ji Xingzhao Ji Huihui Jia Junji Jia Siyu Jian Di Jiang Xiaoshan Jiang Ruyi Jin Xiaoping Jing Cécile Jollet Jari Joutsenvaara Sirichok Jungthawan Leonidas Kalousis Philipp Kampmann Li Kang Michael Karagounis Narine Kazarian Amir Khan Waseem Khan Khanchai Khosonthongkee Patrick Kinz Denis Korablev Konstantin Kouzakov Alexey Krasnoperov Svetlana Krokhaleva Zinovy Krumshteyn Andre Kruth Nikolay Kutovskiy Pasi Kuusiniemi Tobias Lachenmaier Cecilia Landini Sébastien Leblanc Frederic Lefevre Liping Lei Ruiting Lei Rupert Leitner Jason Leung Demin Li Fei Li Fule Li Haitao Li Huiling Li Jiaqi Li Jin Li Kaijie Li Mengzhao Li Nan Li Nan Li Qingjiang Li Ruhui Li Shanfeng Li Shuaijie Li Tao Li Weidong Li Weiguo Li Xiaomei Li Xiaonan Li Xinglong Li Yi Li Yufeng Li Zhibing Li Ziyuan Li Hao Liang Hao Liang Jingjing Liang Jiajun Liao Daniel Liebau Ayut Limphirat Sukit Limpijumnong Guey-Lin Lin Shengxin Lin Tao Lin Jiajie Ling Ivano Lippi Fang Liu Haidong Liu Hongbang Liu Hongjuan Liu Hongtao Liu Hu Liu Hui Liu Jianglai Liu Jinchang Liu Min Liu Qian Liu Qin Liu Runxuan Liu Shuangyu Liu Shubin Liu Shulin Liu Xiaowei Liu Yan Liu Alexey Lokhov Paolo Lombardi Claudio Lombardo Kai Loo Chuan Lu Haoqi Lu Jingbin Lu Junguang Lu Shuxiang Lu Xiaoxu Lu Bayarto Lubsandorzhiev Sultim Lubsandorzhiev Livia Ludhova Fengjiao Luo Guang Luo Pengwei Luo Shu Luo Wuming Luo Vladimir Lyashuk Qiumei Ma Si Ma Xiaoyan Ma Xubo Ma Jihane Maalmi Yury Malyshkin Fabio Mantovani Francesco Manzali Xin Mao Yajun Mao Stefano MMari Filippo Marini Sadia Marium Cristina Martellini Gisele Martin-Chassard Agnese Martini Davit Mayilyan Axel Müller Ints Mednieks Yue Meng Anselmo Meregaglia Emanuela Meroni David Meyhöfer Mauro Mezzetto Jonathan Miller Lino Miramonti Salvatore Monforte Paolo Montini Michele Montuschi Nikolay Morozov Pavithra Muralidharan Massimiliano Nastasi Dmitry VNaumov Elena Naumova Igor Nemchenok Alexey Nikolaev Feipeng Ning Zhe Ning Hiroshi Nunokawa Lothar Oberauer Juan Pedro Ochoa-Ricoux Alexander Olshevskiy Domizia Orestano Fausto Ortica Hsiao-Ru Pan Alessandro Paoloni Nina Parkalian Sergio Parmeggiano Teerapat Payupol Yatian Pei Nicomede Pelliccia Anguo Peng Haiping Peng Frédéric Perrot Pierre-Alexandre Petitjean Fabrizio Petrucci Luis Felipe Piñeres Rico Oliver Pilarczyk Artyom Popov Pascal Poussot Wathan Pratumwan Ezio Previtali Fazhi Qi Ming Qi Sen Qian Xiaohui Qian Hao Qiao Zhonghua Qin Shoukang Qiu Muhammad Rajput Gioacchino Ranucci Neill Raper Alessandra Re Henning Rebber Abdel Rebii Bin Ren Jie Ren Taras Rezinko Barbara Ricci Markus Robens Mathieu Roche Narongkiat Rodphai Aldo Romani Bedřich Roskovec Christian Roth Xiangdong Ruan Xichao Ruan Saroj Rujirawat Arseniy Rybnikov Andrey Sadovsky Paolo Saggese Giuseppe Salamanna Simone Sanfilippo Anut Sangka Nuanwan Sanguansak Utane Sawangwit Julia Sawatzki Fatma Sawy Michaela Schever Jacky Schuler Cédric Schwab Konstantin Schweizer Dmitry Selivanov Alexandr Selyunin Andrea Serafini Giulio Settanta Mariangela Settimo Muhammad Shahzad Vladislav Sharov Gang Shi Jingyan Shi Yongjiu Shi Vitaly Shutov Andrey Sidorenkov FedorŠimkovic Chiara Sirignano Jaruchit Siripak Monica Sisti Maciej Slupecki Mikhail Smirnov Oleg Smirnov Thiago Sogo-Bezerra Julanan Songwadhana Boonrucksar Soonthornthum Albert Sotnikov Ondrej Sramek Warintorn Sreethawong Achim Stahl Luca Stanco Konstantin Stankevich DušanŠtefánik Hans Steiger Jochen Steinmann Tobias Sterr Matthias Raphael Stock Virginia Strati Alexander Studenikin Gongxing Sun Shifeng Sun Xilei Sun Yongjie Sun Yongzhao Sun Narumon Suwonjandee Michal Szelezniak Jian Tang Qiang Tang Quan Tang Xiao Tang Alexander Tietzsch Igor Tkachev Tomas Tmej Konstantin Treskov Andrea Triossi Giancarlo Troni Wladyslaw Trzaska Cristina Tuve Stefan van Waasen Johannes van den Boom Guillaume Vanroyen Nikolaos Vassilopoulos Vadim Vedin Giuseppe Verde Maxim Vialkov Benoit Viaud Cristina Volpe Vit Vorobel Lucia Votano Pablo Walker Caishen Wang Chung-Hsiang Wang En Wang Guoli Wang Jian Wang Jun Wang Kunyu Wang Lu Wang Meifen Wang Meng Wang Ruiguang Wang Siguang Wang Wei Wang Wenshuai Wang Xi Wang Xiangyue Wang Yangfu Wang Yaoguang Wang Yi Wang Yifang Wang Yuanqing Wang Yuman Wang Zhe Wang Zheng Wang Zhimin Wang Zongyi Wang Apimook Watcharangkool Lianghong Wei Wei Wei Yadong Wei Liangjian Wen Christopher Wiebusch Steven Chan-Fai Wong Bjoern Wonsak Diru Wu Fangliang Wu Qun Wu Wenjie Wu Zhi Wu Michael Wurm Jacques Wurtz Christian Wysotzki Yufei Xi Dongmei Xia Yuguang Xie Zhangquan Xie Zhizhong Xing Benda Xu Donglian Xu Fanrong Xu Jilei Xu Jing Xu Meihang Xu Yin Xu Yu Xu Baojun Yan Xiongbo Yan Yupeng Yan Anbo Yang Changgen Yang Huan Yang Jie Yang Lei Yang Xiaoyu Yang Yifan Yang Haifeng Yao Zafar Yasin Jiaxuan Ye Mei Ye Ugur Yegin Frédéric Yermia Peihuai Yi Xiangwei Yin Zhengyun You Boxiang Yu Chiye Yu Chunxu Yu Hongzhao Yu Miao Yu Xianghui Yu Zeyuan Yu Chengzhuo Yuan Ying Yuan Zhenxiong Yuan Ziyi Yuan Baobiao Yue Noman Zafar Andre Zambanini Pan Zeng Shan Zeng Tingxuan Zeng Yuda Zeng Liang Zhan Feiyang Zhang Guoqing Zhang Haiqiong Zhang Honghao Zhang Jiawen Zhang Jie Zhang Jingbo Zhang Peng Zhang Qingmin Zhang Shiqi Zhang Tao Zhang Xiaomei Zhang Xuantong Zhang Yan Zhang Yinhong Zhang Yiyu Zhang Yongpeng Zhang Yuanyuan Zhang Yumei Zhang Zhenyu Zhang Zhijian Zhang Fengyi Zhao Jie Zhao Rong Zhao Shujun Zhao Tianchi Zhao Dongqin Zheng Hua Zheng Minshan Zheng Yangheng Zheng Weirong Zhong Jing Zhou Li Zhou Nan Zhou Shun Zhou Xiang Zhou Jiang Zhu Kejun Zhu Honglin Zhuang Liang Zong Jiaheng Zou | 2021 | Chinese Physics C2021，45，2： | 0 |
| 11 | Leveraging UAV-assisted communications to improve secrecy for URLLC in 6G systems显示文摘Unmanned Aerial Vehicles(UAVs)will be essential to support mission-critical applications of Ultra Reliable Low Latency Communication(URLLC)in futuristic Sixth-Generation(6G)networks.However,several security vulnerabilities and attacks have plagued previous generations of communication systems;thus,physical layer security,especially against eavesdroppers,is vital,especially for upcoming 6G networks.In this regard,UAVs have appeared as a winning candidate to mitigate security risks.In this paper,we leverage UAVs to propose two methods.The first method utilizes a UAV as Decode-and-Forward(DF)relay,whereas the second method utilizes a UAV as a jammer to mitigate eavesdropping attacks for URLLC between transmitter and receiver devices.Moreover,we present a low-complexity algorithm that outlines the two aforementioned methods of mitigating interception,i.e.increasing secrecy rate,and we compare them with the benchmark null method in which there is a direct communication link between transmitter and receiver without the UAV DF relay.Additionally,simulation results show the effectiveness of such methods by improving the secrecy rate and its dependency on UAV height,blocklength,decoding error probability and transmitter-receiver separation distance.Lastly,we recommend the best method to enhance the secrecy rate in the presence of an eavesdropper based on our simulations. | Hemant Kumar Narsani Ali Ranjha Kapal Dev Fida Hussain Memon Nawab Muhammad Faseeh Qureshi | 2023 | Digital Communications and Networks2023，9，6： | 0 |
| 12 | Geochemistry and in-situ U-Th/Pb Geochronology of the Jambil Meta-Carbonatites, Northern Pakistan: Implications on Petrogenesis and Tectonic Evolution显示文摘The putative Jambil meta-carbonatites of Swat,northern Pakistan,occur as discrete intrusions into the Proterozoic Manglaur Formation,which are difficult to be distinguished from nearby calc-silicate marble because both rock types experienced regional metamorphism during Himalayan orogenesis that resulted in similar mosaic textures and mineral assemblages.Carbonatites are often significant repositories of economic mineral resources and,therefore,are important to be distinguished from calc-silicate marble.We present new geochemical and geochronology data to distinguish between the two rock types and interpret the petrogenesis and tectonic evolution of the Jambil metacarbonatites.Whole rock chemical data from the Jambil meta-carbonatites show characteristically high rare earth element(REE),Sr contents and lack of negative Eu anomaly,consistent with average calcio-carbonatite values worldwide and an igneous origin.More than 0.5 wt.% SrO in the metacarbonatites and SrO> 0.15 wt.% in constituent rock forming calcite are discriminating signatures of the Jambil meta-carbonatites.Chemically,the Jambil meta-carbonatites are relatively depleted in Rb,Nb,Ta,Ti,Zr and Hf,relatively enriched in Ba,Th,Sr,and have a high LREE/HREE ratio when normalized to primitive mantle.Their carbon and oxygen isotope compositions vary from-3.5‰ to-4.3‰and from 9.7‰ to 12.3‰,respectively.These geochemical characteristics indicate generation of the carbonatites through small degree of partial melting from a carbonated eclogitic source.In-situ,U/Pb analysis of titanite indicates that the Jambil meta-carbonatites were emplacement at 438 ±3 Ma.When combined with regional geological observations,we interpret the emplacement of the Jambil metacarbonatites to have taken place during the Silurian back arc extension within greater Gondwana and mark a transition from a compressional tectonic regime,brought about by collision of microcontinental blocks along the northern margin of Gondwana,to post-orogenic extension in the waning stages of the pre-Himalayan Ordovician orogeny.Finally,in-situ ^(208)Pb/^(232)Th monazite dates(40.3-27.6Ma) extracted from the meta-carbonatites are consistent with the Cenozoic metamorphism of the area. | Asad Khan Shah Faisal Kyle P.Larson Delores M.Robinson Huan Li Zaheen Ullah Mark Button Javed Nawab Muhammad Farhan Liaqat Ali Muhammad Ali | 2023 | Journal of Earth Science2023，34，1： | 0 |
| 13 | Biochemical, chromatographic and spectroscopic analyses of Suwannee River fulvic acid—Evidence for the presence of a DNA-like material显示文摘 | Nawab ALI | 2006 | Chinese Journal Of Geochemistry2006，25，B08： | 0 |
| 14 | MDEV Model:A Novel Ensemble-Based Transfer Learning Approach for Pneumonia Classification Using CXR Images显示文摘Pneumonia is a dangerous respiratory disease due to which breathing becomes incredibly difficult and painful;thus,catching it early is crucial.Medical physicians’time is limited in outdoor situations due to many patients;therefore,automated systems can be a rescue.The input images from the X-ray equipment are also highly unpredictable due to variances in radiologists’experience.Therefore,radiologists require an automated system that can swiftly and accurately detect pneumonic lungs from chest x-rays.In medical classifications,deep convolution neural networks are commonly used.This research aims to use deep pretrained transfer learning models to accurately categorize CXR images into binary classes,i.e.,Normal and Pneumonia.The MDEV is a proposed novel ensemble approach that concatenates four heterogeneous transfer learning models:Mobile-Net,DenseNet-201,EfficientNet-B0,and VGG-16,which have been finetuned and trained on 5,856 CXR images.The evaluation matrices used in this research to contrast different deep transfer learning architectures include precision,accuracy,recall,AUC-roc,and f1-score.The model effectively decreases training loss while increasing accuracy.The findings conclude that the proposed MDEV model outperformed cutting-edge deep transfer learning models and obtains an overall precision of 92.26%,an accuracy of 92.15%,a recall of 90.90%,an auc-roc score of 90.9%,and f-score of 91.49%with minimal data pre-processing,data augmentation,finetuning and hyperparameter adjustment in classifying Normal and Pneumonia chests. | Mehwish Shaikh Isma Farah Siddiqui Qasim Arain Jahwan Koo Mukhtiar Ali Unar Nawab Muhammad Faseeh Qureshi | 2023 | Computer Systems Science & Engineering2023，46，7： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员