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Nanoparticles and their crosstalk with stress mitigators:A novel approach towards abiotic stress tolerance in agricultural systems

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The Crop Journal 2024年第5期12卷 1280-1298页

作者： ali raza Khan Abdul Salam Guanlin Li Babar Iqbal Zaid Ulhassan Qunlu Liu Wardah Azhar Fiza Liaquat Iftikhar Hussain Shah syed Shams ul Hassan Daolin Du School of Environment and Safety Engineering Jiangsu UniversityZhenjiang 212013JiangsuChina Key Laboratory of Natural Pesticide and Chemical Biology of the Ministry of Education South China Agricultural UniversityGuangzhou 510642GuangdongChina Jiangsu Collaborative Innovation Center of Technology and Material of Water Treatment Suzhou University of Science and TechnologySuzhou 215009JiangsuChina Zhejiang Key Lab of Crop Germplasm Department of AgronomyCollege of Agriculture and BiotechnologyZhejiang UniversityHangzhou 310000ZhejiangChina Department of Landscape Architecture School of DesignShanghai Jiao Tong UniversityShanghai 200240China School of Agriculture and Biology Shanghai Jiao Tong UniversityShanghai 200240China Department of Natural Product Chemistry School of PharmacyShanghai Jiao Tong UniversityShanghai 200240China Jingjiang College Institute of Environment and EcologySchool of Emergency ManagementSchool of Environment and Safety EngineeringSchool of Agricultural EngineeringJiangsu UniversityZhenjiang 212013JiangsuChina

Plants are exposed to adverse environmental conditions,including cold,drought,heat,salinity,and heavy metals,which negatively impact plant growth and productivity of edible crops *** the previous literature summarized the nanoparticle's involvement in abiotic stress mitigation,the interaction of nanoparticles with other stress mitigators to overcome abiotic stress from plants remains ***,nanotechnology is considered a growing new field in agriculture for understanding plants'adapted stress tolerance *** research has shown that nanoparticles can effectively mitigate abiotic stress by interacting synergistically with plant growth *** address this,we comprehensively demonstrated the combined positive potential of nanoparticles in combination with plant growth regulators(signaling molecules,phytohormones,nanoparticles-nanoparticles interaction,fungi,plant growth promoting rhizobacteria and other metal salts)to improve plant growth and mitigate abiotic *** co-applications augment the plant's growth,nutrient uptake,antioxidant defense system,water absorption,cell viability,water use efficiency,and photosynthetic and biochemical attributes by reducing oxidative stressors under various abiotic stresses in different plant *** review provides a comprehensive overview of the combined applications of nanoparticles and plant growth regulators,a novel strategy to reduce the harmful effects of abiotic stress on *** identifies research gaps and recommends future studies to overcome their phytotoxicity worldwide.

关键词： Phytohormones Mitigation strategies Microbial inoculation Oxidative stress

Experimental investigation of multiphase flow behavior in drilling annuli using high speed visualization technique

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Frontiers in Energy 2020年第3期14卷 635-643页

作者： Alap ali ZAHID syed raza ur REHMAN S.RUSHD Anwarul HASAN Mohammad Azizur RAHMAN Department of Mechanical Engineering College of EngineeringQatar UniversityDoha 2713Qatar Petroleum Engineering Program Texas A&M University at QatarDoha 23874Qatar

Imaging with high definition video camera is an important technique to visualize the drilling conditions and to study the physics of complex multiphase flow associated with the hole cleaning *** main advantage of visualizing multiphase flow in a drilling annulus is that the viewer can easily distinguish fluid phases,flow patterns and thicknesses of cutting *** this paper the hole cleaning process which involves the transportation of cuttings through a horizontal annulus was *** two-phase(solid-liquid)and the three-phase(solid-liquid-gas)flow conditions involved in this kind of annular transportation were experimentally simulated and images were taken using a high definition *** the captured images,a number of important parameters like velocities of different phases,heights of solid beds and sizes of gas bubbles were *** different techniques based on an image analysis software and MATLAB coding were used for the *** results were compared to validate the image analyzing *** visualization technique developed in this paper has a direct application in investigating the critical conditions required for efficient hole cleaning as well as in optimizing the mud program during both planning and operational phases of ***,it would be useful in predicting the cuttings transport performance,estimating solid bed height,gas bubble size,and mean velocities of bubbles/particles.

关键词： visualization horizontal annulus hole cleaning multiphase flow image analysis flow regime

High-performance asymmetric supercapacitors based on reduced graphene oxide/polyaniline composite electrodes with sandwich-like structure

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Journal of Materials Science & Technology 2018年第7期34卷 1103-1109页

作者： Jun Ma Shaochun Tang Junaid ali syed Dongyun Su Xiangkang Meng Institute of Materials Engineering National Laboratory of Solid State Microstructures and College of Engineering and Applied Sciences Nanjing University School of Mechatronics & Traffic Engineering Nantong College of Science and Technology College of Mechanical Engineering Nantong Vocational University

The sandwich-like structure of reduced graphene oxide/polyaniline （RGO/PANI） hybrid electrode was prepared by electrochemical deposition. Both the voltage windows and electrolytes for electrochemical deposition of PANI and RGO were optimized. In the composites, PANI nanofibers were anchored on the surface of the RGO sheets, which avoids the re-stacking of neighboring sheets. The R（;O/PANI composite electrode shows a high specific capacitance of 466 F/g at 2 mA/cm2 than that of previously reported RGO/PANI composites. Asymmetric flexible supercapacitors applying RGO/PANI as positive electrode and carbon fiber cloth as negative electrode can be cycled reversibly in the high-voltage region of 0-1.6 V and displays intriguing performance with a maximum specific capacitance of 35.5 mF cm^-2. Also, it delivers a high energy density of 45.5 mW h cm^-2 at power density of 1250 mW cm^-2. Furthermore, the asymmetric device exhibits an excellent long cycle life with 97.6Z initial capacitance retention after 5000 cycles. Such composite electrode has a great potential for applications in flexible electronics, roll-up display, and wearable devices.2017 Published by Elsevier Ltd on behalf of The editorial office of Journal of Materials Science ＆ Technology.

关键词： Hybrid electrode Asymmetric supercapacitor Sandwich-like Electrochemical reduced graphene oxide

Using Capsule Networks for Android Malware Detection Through Orientation-Based Features

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Computers, Materials & Continua 2022年第3期70卷 5345-5362页

作者： Sohail Khan Mohammad Nauman Suleiman ali Alsaif Toqeer ali syed Hassan Ahmad Eleraky Deanship of Preparatory Year and Supporting Studies Computer Science DepartmentImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia National University of Computer and Emerging Sciences Pakistan Department of Computer Science Islamic University of MedinaMedinaSaudi Arabia

Mobile phones are an essential part of modern *** two popular mobile phone platforms,Android and iPhone Operating System(iOS),have an immense impact on the lives of millions of *** these two,Android currently boasts more than 84%market ***,any personal data put on it are at great risk if not properly *** the other hand,more than a million pieces of malware have been reported on Android in just 2021 till *** and mitigating all this malware is extremely difficult for any set of human *** to this reason,machine learning-and specifically deep learning-has been utilized in the recent past to resolve this ***,deep learning models have primarily been designed for image *** this line of research has shown promising results,it has been difficult to really understand what the features extracted by deep learning models are in the domain of ***,due to the translation invariance property of popular models based on ConvolutionalNeural Network(CNN),the true potential of deep learning for malware analysis is yet to be *** resolve this issue,we envision the use of Capsule Networks(CapsNets),a state-of-the-art model in deep *** argue that since CapsNets are orientation-based in terms of images,they can potentially be used to capture spatial relationships between different features at different locations within a sequence of *** design a deep learning-based architecture that efficiently and effectively handles very large scale malware datasets to detect Androidmalware without resorting to very deep *** leads tomuch faster detection as well as increased *** achieve state-of-the-art F1 score of 0.987 with an FPR of just 0.002 for three very large,real-world malware *** code is made available as open source and can be used to further enhance our work with minimal effort.

关键词： Malware security Android deep learning capsule networks

Machine Learning Based Psychotic Behaviors Prediction from Facebook Status Updates

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Computers, Materials & Continua 2022年第8期72卷 2411-2427页

作者： Mubashir ali Anees Baqir Hafiz Husnain raza Sherazi Asad Hussain Asma Hassan Alshehri Muhammad ali Imran Department of Management Information and Production EngineeringUniversity of BergamoBergamo24129Italy Department of Environmental Sciences Informatics and StatisticsCa’Foscari University of VeniceVenice30123Italy School of Computing and Engineering University of West LondonLondonW55RFUK Department of Engineering and Applied Sciences University of BergamoBergamo24129Italy Durma College of Science and Humanities Shaqra UniversityShaqra11961Saudi Arabia School of Engineering University of GlasgowGlasgowG128QQUK

With the advent of technological advancements and the widespread Internet connectivity during the last couple of decades,social media platforms(such as Facebook,Twitter,and Instagram)have consumed a large proportion of time in our daily *** tend to stay alive on their social media with recent updates,as it has become the primary source of interactionwithin social *** social media platforms offer several remarkable features but are simultaneously prone to various critical *** studies have revealed a strong correlation between the usage of social media and associated mental health issues consequently leading to depression,anxiety,suicide commitment,and mental disorder,particularly in the young adults who have excessively spent time on socialmedia which necessitates a thorough psychological analysis of all these *** study aims to exploit machine learning techniques for the classification of psychotic issues based on Facebook status *** this paper,we start with depression detection in the first instance and then expand on analyzing six other psychotic issues(e.g.,depression,anxiety,psychopathic deviate,hypochondria,unrealistic,and hypomania)commonly found in adults due to extreme use of social media *** classify the psychotic issues with the user’s mental state,we have employed different Machine Learning(ML)classifiers i.e.,Random Forest(RF),Support Vector Machine(SVM),Naïve Bayes(NB),and K-Nearest Neighbor(KNN).The used ML models are trained and tested by using different combinations of features selection *** observe themost suitable classifiers for psychotic issue classification,a cost-benefit function(sometimes termed as‘Suitability’)has been used which combines the accuracy of the model with its execution *** experimental evidence argues that RF outperforms its competitor classifiers with the unigram feature set.

关键词： Psychotic behaviors mental health socialmedia machine learning

Emerging Perspectives of Anatomical snuff box in Invasive Cardiology

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Journal of Geriatric Cardiology 2023年第3期20卷 238-241页

作者： Thirumurugan E Gomathi K Swathy P syed ali Afrin Allied Health Science DR MGR Educational and Research InstituteACS Medical CollegeChennaiTamil NaduIndia

In 1948,a surgical cut-down was used to access the radial artery and described the first method of cardiac catheterization using the radial *** method transitioned from the Sones approach of brachial artery cut-down to the Seldinger and Judkins technique of percutaneous femoral artery access.[1]The first 100 cases of coronary angiography were published in *** Campeau invented this procedure at the Montreal Heart Institute in 1986.[2]Advances in technology and equipment have made transradial coronary intervention the primary technique for coronary interventional treatment worldwide.

关键词： coronary artery cardiac

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直觉线性μ-演算中的合成推理(英文)

软件学报 2009年第8期20卷 2026-2036页

作者： KAZMI syed Asad raza 张文辉中国科学院软件研究所计算机科学重点实验室北京100190 中国科学院研究生院信息与工程学院北京100049 Department of Computer Science Government College University

讨论了以基于前缀封闭集合的Heyting代数的直觉解释的线性μ-演算(IμTL)作为描述"假设-保证"的逻辑基础的问题,提出了一个基于IμTL的"假设-保证"规则.该规则比往常应用线性时序逻辑(LTL)作为规范语言的那些规则具有更好的表达能力,扩... 详细信息

讨论了以基于前缀封闭集合的Heyting代数的直觉解释的线性μ-演算(IμTL)作为描述"假设-保证"的逻辑基础的问题,提出了一个基于IμTL的"假设-保证"规则.该规则比往常应用线性时序逻辑(LTL)作为规范语言的那些规则具有更好的表达能力,扩展了对形如"alwaysφ"等安全性质的"假设-保证"的范围,具备更一般的"假设-保证"推理能力及对循环推理的支持.

关键词：合成推理命题线性时序逻辑直觉线性μ-演算

Determinants of prognosis in metastatic urothelial carcinoma:a review of the literature

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Journal of Cancer Metastasis and Treatment 2022年第1期8卷 240-252页

作者： Gavin Hui ali raza Khaki Petros Grivas Department of Medicine Stanford UniversityStanfordCA 94304USA Division of Oncology Department of MedicineStanford UniversityStanfordCA 94304USA Division of Medical Oncology Department of MedicineUniversity of WashingtonFred Hutchinson Cancer CenterSeattleWA 98109USA

The treatments for metastatic urothelial carcinoma(mUC)have advanced substantially since *** tools have been used to inform clinical trial designs and treatment ***,prognostic tools were developed for mUC based on older clinical trials involving cytotoxic *** novel therapies emerged,there are studies investigating prognostic factors in the era of immune checkpoint inhibitors(ICI),antibody-drug conjugates,and targeted *** review aims to highlight prognostic factors in mUC and their potential in clinical decision-making and *** the setting of chemotherapy,patient performance status,site of metastatic burden,and specific laboratory findings were found to have prognostic value in *** the era of ICI,newer models identified variables such as neutrophil to lymphocyte ratio,platelet count,and lactate dehydrogenase to also have potential prognostic *** addition to clinical biomarkers,molecular biomarkers,such as PD-L1 assay and fibroblast growth factor receptor 2 and 3 genomic testings,may have promising prognostic and predictive *** methods of identifying clinical and molecular prognostic factors involve clinician *** large complex datasets emerge,machine learning and artificial intelligence may help data analysis and detect important prognostic *** careful validation,such machine learning-based strategies may help create more robust prognostic and/or predictive models in the future.

关键词： Bladder cancer biomarkers health outcomes nomogram prediction prognosis urothelial carcinoma urinary tract cancers

A macroscopic traffic model based on weather conditions

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Chinese Physics B 2018年第7期27卷 179-189页

作者： Zawar H.Khan syed Abid ali Shah T.Aaron Gulliver Department of Electrical Engineering University of Engineering and TechnologyPeshawarPakistan Department of Electrical and Computer Engineering University of VictoriaPO Box 1700STN CSCVictoriaBC Canada

A traffic model based on the road surface conditions during adverse weather is presented. The surface of a road is affected by snow, compacted snow, and ice, which affects the traffic behavior. In this paper, a new macroscopic traffic flow model based on the transition velocity distribution is proposed which characterizes traffic alignment under adverse weather conditions. Two examples are considered to illustrate the effect of the transition velocity behavior on traffic velocity and density. Simulation results are presented which show that this model provides a more accurate characterization of traffic flow behavior than the well known Payne-Whitham model. The proposed model can be used to reduce accidents and improve road safety during adverse weather conditions.

关键词： macroscopic traffic flow anticipation Payne-Witham (PW) model adverse weather