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Integrating predictive modeling techniques with geospatial data for landslide susceptibility assessment in northern Pakistan

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山地科学学报(英文) 2023年第9期20卷 2603-2627页

作者： aamir asghar SU Li-jun ZHAO Bo Nadeem Ahmad USMANI Key Laboratory of Mountain Hazards and Earth Surface Process Institute of Mountain Hazards and EnvironmentChinese Academy of Sciences(CAS)Chengdu 610041China University of Chinese Academy of Sciences Beijing 100049China China-Pakistan Joint Research Center on Earth Sciences CAS-HECIslamabad 45320Pakistan The University of Poonch Rawalakot Rawalakot 12350Pakistan

The eastern road section of the ChinaPakistan Economic Corridor(CPEC)traverses the challenging terrain of northern Pakistan,where frequent landslides pose a significant threat to socioeconomic development and ***,the insufficient data on landslide hazards presents a substantial challenge to practical mitigation ***,we conducted an extensive study to gain insight into landslide assessment along the Mansehra-Muzaffarabad-Mirpur and Mangla(MMMM)*** study involved preparing a landslide inventory,analyzing landslide causative factors,and developing landslide susceptibility models(LSMs)using published data,remote sensing interpretations,field excursions and integrated predictive *** first used Pearson's correlation coefficient(PCC),variable importance factors(VIF),and information gain ratio(IGR)to evaluate multicollinearity among the selected landslide causative factors(LCFs).Then,the topographic roughness index(TRI)with VIF>5 and PCC>0.7 was considered a redundant factor and thus removed before the data ***,we adopted multiple machine-learning methods to analyze landslide *** results indicate that the landslide inventory contains 1,776 events,of which 674 were classified based on geometrical and lithological *** IGR results show that the rainfall,lithology,PGA,drainage density,slope,and distance to fault are the most effective *** AUC values for random forest(RF)(0.901),extreme gradient boosting(XGBoost)(0.884),and K-nearest neighbor(KNN)(0.872)remained higher than evidential belief function(EBF)(0.833),weight of evidence(WoE)(0.820),and certainty factor(CF)(0.810),*** RF model outperformed all other models in terms of ***,these models are accurate but newer in the area;thus,susceptible zones were verified with comprehensive field *** northern and central regions accounted for the high and very high susceptibility classes in th

关键词： Landslides MMMM expressway Machine learning Landslide susceptibility Northern Pakistan

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巴基斯坦北部某大型公路滑坡的形成机理（英文）

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土木与环境工程学报(中英文) 2023年

作者： aamir asghar 苏立君赵波 ABRAR Niaz Faheemullah 中国-巴基斯坦地球科学联合研究中心 4. Poonch Rawalakot大学 Azad Jammuand Kashmir Muzaffarabad大学中国科学院山地灾害与地表过程重点实验室中国科学院水利部成都山地灾害与环境研究所中国科学院大学

公路滑坡是山区公路安全运行的重要威胁，开展滑坡灾害评估尤为重要，尤其是深切峡谷区域的公路滑坡。以巴斯基坦北部Muzaffarabad-Mansehra公路沿线某大型滑坡为研究对象，采用野外调查、遥感分析、地貌解译、地球物理探勘和运动学分... 详细信息

公路滑坡是山区公路安全运行的重要威胁，开展滑坡灾害评估尤为重要，尤其是深切峡谷区域的公路滑坡。以巴斯基坦北部Muzaffarabad-Mansehra公路沿线某大型滑坡为研究对象，采用野外调查、遥感分析、地貌解译、地球物理探勘和运动学分析等多种调查手段，进行滑坡的失稳特征、触发机理、地下结构特征和边坡稳定评估等研究，结果表明：滑坡发生在Hazara地层中，该地层以顺层斜坡为主，容易发生翘曲变形等破坏，属于滑坡易发地层。地球物理探勘表明：滑坡体内部存在多个不同深度和厚度的复杂结构组成，低电阻率区（0.325～1350Ωm）以松散、饱水的堆积体为主，高电阻率区域（1510～26092Ωm）与覆盖层有关，包括冲积层、巨石和干板岩碎片等。地震反射层析结果表明，在高度饱和的覆盖层、改造区块和表层风化层内，P波速度较低（400～1800 m/s）；而下垫层散布着高密度岩石碎片和大块巨石，P波速度在3000～5000 m/s。两种地球物理探勘结果均表明滑坡体内有一条延伸30m深的破碎带，这是触发滑坡的重要因素。滑坡顶部的滑动面在深度25～30m处，在主体处的滑动面深度在45m处。运动学分析表明：锲形体失稳是公路滑坡的主要破坏模式。研究结果表明，采用综合技术分析滑坡灾害的潜在机制可以有效减轻此类灾害带来的相关风险。

关键词： Lohar Gali滑坡片状岩石地貌学地球物理成像巴基斯坦北部

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吉贾尔-帕坦喀喇昆仑公路沿线落石和边坡稳定性数值研究

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土木与环境工程学报（中英文） 2021年第1期43卷 36-47页

作者： ALI Izaz 苏立君 asghar aamir ALAM Mehtab 刘振宇董志博 FAIZ Hamid 中国科学院山地灾害与地表过程重点实验室中国科学院、水利部成都山地灾害与环境研究所成都610041 中国科学院大学北京100049 中国科学院青藏高原地球科学卓越创新中心北京100101 中国-巴基斯坦地球科学联合研究中心巴基斯坦伊斯兰堡

在中巴经济走廊的重要通道喀喇昆仑公路(KKH)沿线,由于构造运动和降雨渗透对破碎岩石和边坡稳定性的不利作用,造成了大量落石和不稳定边坡。利用数值软件DIPS、GeoRock 2D和SLIDE对巴基斯坦北部吉贾尔-帕坦喀喇昆仑公路沿线的落石和边... 详细信息

在中巴经济走廊的重要通道喀喇昆仑公路(KKH)沿线,由于构造运动和降雨渗透对破碎岩石和边坡稳定性的不利作用,造成了大量落石和不稳定边坡。利用数值软件DIPS、GeoRock 2D和SLIDE对巴基斯坦北部吉贾尔-帕坦喀喇昆仑公路沿线的落石和边坡稳定性进行了数值研究;以喀喇昆仑公路沿线两个主要的易受落石影响的路段为例,研究落石和边坡的失稳机理。对4组节理进行的赤平投影分析表明:两处边坡断面均易发生平面破坏和楔形破坏。基于极限平衡理论,在静力条件下,边坡断面1的安全系数为0.917,处于不稳定状态,边坡断面2的安全系数为1.131,处于欠稳定状态;但在地震条件下,两处断面边坡的安全系数均小于1,处于不稳定状态。研究结果表明,边坡断面1和断面2的落石回弹高度分别为33m和29m。边坡断面1的落石速度在0.5~44m/s,总动能达到1135.099kJ,而边坡断面2的落石具有0.5~40.901m/s的速度和973.012kJ的破坏能力。研究表明,KKH沿线的落石和滑坡具有极大的破坏潜力。

关键词：喀喇昆仑公路岩质陡坡赤平投影分析法边坡稳定性动力过程

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Role of flexible sensors for the electrochemical detection of organophosphate-based chemical warfare agents

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International Journal of Smart and Nano Materials 2024年第3期15卷 502-533页

作者： Aman Dubey aamir Ahmed Rakesh Singh Anoop Singh Ashok K.Sundramoorthy Sandeep Arya Department of Physics University of JammuJammuJammu and KashmirIndia Department of Humanities and Sciences Guru Nanak Institutions Technical CampusHyderabadIndia Centre for Global Health Research Saveetha Medical College and HospitalsSaveetha Institute of Medical and Technical SciencesChennaiTamil NaduIndia Department of Prosthodontics Saveetha Dental College and HospitalsSaveetha Institute of Medical and Technical SciencesChennaiTamil NaduIndia

This review article comprehensively explores the electrochemi-cal detection of organophosphate-based agents,including war-fare agents,pesticides,and *** provides an in-depth analysis of their molecular structures,emphasizing the inherent toxicity and environmental risks posed by these *** review highlights the significant role of flexible sensors in facilitating the electrochemical detection of organophosphate-based agents,offering insights into their design,development,and application in detection ***,the article critically evaluates the challenges encountered in this field,such as sensor sensitivity and sample complexity,and discusses potential solutions to address these ***,it outlines the future scope and opportunities for advancement in electrochemical detection technologies,includ-ing the integration of novel materials and the exploration of innovative detection *** synthesizing current research findings and identifying future research directions,this review contributes to the ongoing discourse on the detection and mitigation of organophosphate-based agents’risks to human health and the environment.

关键词： Chemical warfare agents electrochemical detection flexible nanosensors organophosphates pesticides

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An Implementation of Multiscale Line Detection and Mathematical Morphology for Efficient and Precise Blood Vessel Segmentation in Fundus Images

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Computers, Materials & Continua 2024年第5期79卷 2565-2583页

作者： Syed Ayaz Ali Shah aamir Shahzad Musaed Alhussein Chuan Meng Goh Khursheed Aurangzeb Tong Boon Tang Muhammad Awais Department of Electrical and Computer Engineering COMSATS University IslamabadAbbottabad CampusAbbottabad22060Pakistan Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Faculty of Information and Communication Technology University Tunku Abdul RehmanKampar CampusKampar31900Malaysia Centre for Intelligent Signal and Imaging Research University Teknologi PETRONASBandar Seri IskandarPerak32610Malaysia School of Computing Sciences University of East AngliaNorwichNR47TJUK

Diagnosing various diseases such as glaucoma,age-related macular degeneration,cardiovascular conditions,and diabetic retinopathy involves segmenting retinal blood *** task is particularly challenging when dealing with color fundus images due to issues like non-uniformillumination,low contrast,and variations in vessel appearance,especially in the presence of different ***,the speed of the retinal vessel segmentation system is of utmost *** the surge of now available big data,the speed of the algorithm becomes increasingly important,carrying almost equivalent weightage to the accuracy of the *** address these challenges,we present a novel approach for retinal vessel segmentation,leveraging efficient and robust techniques based on multiscale line detection and mathematical *** algorithm’s performance is evaluated on two publicly available datasets,namely the Digital Retinal Images for Vessel Extraction dataset(DRIVE)and the Structure Analysis of Retina(STARE)*** experimental results demonstrate the effectiveness of our method,withmean accuracy values of 0.9467 forDRIVE and 0.9535 for STARE datasets,aswell as sensitivity values of 0.6952 forDRIVE and 0.6809 for STARE ***,our algorithmexhibits competitive performance with state-of-the-art ***,it operates at an average speed of 3.73 s per image for DRIVE and 3.75 s for STARE *** is worth noting that these results were achieved using Matlab scripts containing multiple *** suggests that the processing time can be further reduced by replacing loops with *** the proposed algorithm can be deployed in real time *** summary,our proposed system strikes a fine balance between swift computation and accuracy that is on par with the best available methods in the field.

关键词： Line detector vessel detection localization mathematical morphology image processing

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Thermophoresis and concentration effects in a fourth grade peristaltic flow with convective walls

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Journal of Central South University 2017年第7期24卷 1654-1662页

作者： Ali aamir asghar S Awais M Department of Mathematics COMSATS Institute of Information TechnologyAttock 43600Pakistan Department of Mathematics COMSATS Institute of Information TechnologyIslamabad 44000Pakistan Department of Mathematics King Abdulaziz UniversityJeddah 21432Saudi Arabia

In this investigation,we have studied the peristaltic fluid flow in an asymmetric channel with convective *** grade fluid model has been utilized in view of the fact that the results of all other differential type models can be deduced as the special *** effects of heat and mass transfer are *** thermophoresis effects occur in the energy *** heat and mass boundary conditions have been given special *** wave length and low Reynolds number approximations are utilized for the *** analytic solutions for the velocity,temperature and concentration profiles are calculated using perturbation technique and elaborated in the form of graphical observations for various physical quantities.

关键词： fourth grade fluid convective boundary conditions pumping and trapping peristalsis

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Existence of a Hartmann layer in the peristalsis of Sisko fluid

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Chinese Physics B 2014年第5期23卷 368-372页

作者： Saleem asghar Tayyaba Minhas aamir Ali Department of Mathematics COMSATS Institute of Information Technology Department of Mathematics King Abdul Aziz University CNRS UMR 7351 Laboratoire Jean Alexandre DieudonneUniversite de Nice Sophia Antipolis

Analytical solutions for the peristaltic flow of a magneto hydrodynamic （MHD） Sisko fluid in a channel, under the effects of strong and weak magnetic fields, are presented. The governing nonlinear problem, for the strong magnetic field, is solved using the matched asymptotic expansion. The solution for the weak magnetic field is obtained using a regular perturbation method. The main observation is the existence of a Hartman boundary layer for the strong magnetic field at the location of the two plates of the channel. The thickness of the Hartmann boundary layer is determined analytically. The effects of a strong magnetic field and the shear thinning parameter of the Sisko fluid on the velocity profile are presented graphically.

关键词： magneto hydrodynamic Sisko fluid asymmetric channel Peristaltic flow non-Newtonian fluid

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A two-branch multiscale spectral-spatial feature extraction network for hyperspectral image classification

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Journal of Information and Intelligence 2024年第3期2卷 224-235页

作者： aamir Ali Caihong Mu Zeyu Zhang Jian Zhu Yi Liu Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Collaborative Innovation Center of Quantum Information of Shaanxi ProvinceSchool of Artificial IntelligenceXidian UniversityXi'an 710071China school of Electronic Engineering Xidian UniversityXi'an 710071China

In the field of hyperspectral image(HSI)classification in remote sensing,the combination of spectral and spatial features has gained considerable *** addition,the multiscale feature extraction approach is very effective at improving the classification accuracy for HSIs,capable of capturing a large amount of intrinsic ***,some existing methods for extracting spectral and spatial features can only generate low-level features and consider limited scales,leading to low classification results,and dense-connection based methods enhance the feature propagation at the cost of high model *** paper presents a two-branch multiscale spectral-spatial feature extraction network(TBMSSN)for HSI *** design the mul-tiscale spectral feature extraction(MSEFE)and multiscale spatial feature extraction(MSAFE)modules to improve the feature representation,and a spatial attention mechanism is applied in the MSAFE module to reduce redundant information and enhance the representation of spatial fea-tures at *** we densely connect series of MSEFE or MSAFE modules respectively in a two-branch framework to balance efficiency and effectiveness,alleviate the vanishing-gradient problem and strengthen the feature *** evaluate the effectiveness of the proposed method,the experimental results were carried out on bench mark HsI datasets,demonstrating that TBMSSN obtained higher classification accuracy compared with several state-of-the-art methods.

关键词： Hyperspectral image classification Multiscale spectral-spatial information Two-branch architecture

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Multifunctional MXene/Carbon Nanotube Janus Film for Electromagnetic Shielding and Infrared Shielding/Detection in Harsh Environments

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Nano-Micro Letters 2024年第10期16卷 543-560页

作者： Tufail Hassan aamir Iqbal Byungkwon Yoo Jun Young Jo Nilufer Cakmakci Shabbir Madad Naqvi Hyerim Kim Sungmin Jung Noushad Hussain Ujala Zafar Soo Yeong Cho Seunghwan Jeong Jaewoo Kim Jung Min Oh Sangwoon Park Youngjin Jeong Chong Min Koo School of Advanced Materials Science and Engineering Sungkyunkwan UniversitySeobu-ro 2066Jangan-guSuwon-siGyeonggi-do 16419Republic of Korea Department of Materials Science and Engineering Soongsil UniversitySeoul 06978Republic of Korea Institute of Advanced Composite Materials Korea Institute of Science and Technology92 Chudong-roBongdong-eupWanju-gunJeollabuk-do 55324Republic of Korea R&D Center INNOMXENE Co. Ltd.Daejeon 34365Republic of Korea School of Chemical Engineering Sungkyunkwan UniversitySeobu-ro 2066Jangan-guSuwon-siGyeonggi-do 16419Republic of Korea

Multifunctional,flexible,and robust thin films capable of operating in demanding harsh temperature environments are crucial for various cutting-edge *** study presents a multifunctional Janus film integrating highly-crystalline Ti_(3)C_(2)T_(x) MXene and mechanically-robust carbon nanotube(CNT)film through strong hydrogen *** hybrid film not only exhibits high electrical conductivity(4250 S cm^(-1)),but also demonstrates robust mechanical strength and durability in both extremely low and high temperature environments,showing exceptional resistance to thermal *** hybrid Janus film of 15μm thickness reveals remarkable multifunctionality,including efficient electromagnetic shielding effectiveness of 72 dB in X band frequency range,excellent infrared(IR)shielding capability with an average emissivity of 0.09(a minimal value of 0.02),superior thermal camouflage performance over a wide temperature range(−1 to 300℃)achieving a notable reduction in the radiated temperature by 243℃ against a background temperature of 300℃,and outstanding IR detection capability characterized by a 44%increase in resistance when exposed to 250 W IR *** multifunctional MXene/CNT Janus film offers a feasible solution for electromagnetic shielding and IR shielding/detection under challenging conditions.

关键词： MXene/carbon nanotube Janus film Electromagnetic interference shielding Infrared shielding Thermal camouflage Infrared detection

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Left bundle branch pacing vs biventricular pacing in heart failure patients with left bundle branch block:A systematic review and meta-analysis

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World Journal of Cardiology 2024年第1期16卷 40-48页

作者： Farah Yasmin Abdul Moeed Rohan Kumar Ochani Hamna Raheel Malik Ali Ehtsham Awan Ayesha Liaquat Arisha Saleem Muhammad aamir Nael Hawwa Salim Surani Department of Internal Medicine Yale University School of MedicineNew HavenCT 06511United States Department of Medicine Dow University of Health ScienceKarachi 74200SindhPakistan Department of Medicine SUNNY Upstate Medical UniversitySyracuseNY 13210United States Department of Cardiovascular Medicine Lehigh Valley Heart and Vascular InstituteAllentownPA 18105United States Department of Medicine Cleveland ClinicClevelandOH 44195United States Department of Medicine&Pharmacology Texas A&M UniversityCollege StationTX 77843United States

BACKGROUND Left bundle branch pacing(LBBP)is a novel pacing modality of cardiac resynchronization therapy(CRT)that achieves more physiologic native ventricular activation than biventricular pacing(BiVP).AIM To explore the validity of electromechanical resynchronization,clinical and echocardiographic response of *** Systematic review and Meta-analysis were conducted in accordance with the standard guidelines as mentioned in detail in the methodology *** In our analysis,the success rate of LBBP-CRT was determined to be 91.1%.LBBP CRT significantly shortened QRS duration,with significant improvement in echocardiographic parameters,including left ventricular ejection fraction,left ventricular end-diastolic diameter and left ventricular end-systolic diameter in comparison with *** A significant reduction in New York Heart Association class and B-type natriuretic peptide levels was also observed in the LBBP-CRT group vs BiVP-CRT ***,the LBBP-CRT cohort had a reduced pacing threshold at follow-up as compared to BiVP-CRT.

关键词： Left bundle branch pacing Biventricular pacing QRS duration Left ventricular ejection fraction Heart failure

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