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Robust Machine Learning Technique to Classify COVID-19 Using Fusion of Texture and Vesselness of X-Ray Images

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1981-2004页

作者： Shaik Mahaboob Basha Victor Hugo Cde Albuquerque Samia Allaoua Chelloug Mohamed Abd Elaziz Shaik Hashmitha Mohisin suhail Parvaze Pathan Department of Electronics and Communication Engineering N.B.K.R.Institute of Science&TechnologyVidyanagarAndhra Pradesh524413India Department of Teleinformatics Engineering Federal University of CearáFortaleza60455-970Brazil Information Technology Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Mathematics Faculty of ScienceZagazig UniversityZagazig44519Egypt Faculty of Computer Science and Engineering Galala UniversitySuez435611Egypt Artificial Intelligence Research Center(AIRC) College of Engineering and Information TechnologyAjman UniversityAjmanUnited Arab Emirates Department of Electrical and Computer Engineering Lebanese American UniversityByblos13-5053Lebanon Department of Avionics Indian Institute of Space Science and TechnologyThiruvananthapuramKerala695547India Department of Veterinary Clinical Sciences University of MinnesotaSt.PaulMinnesota55108USA

Manual investigation of chest radiography(CXR)images by physicians is crucial for effective decision-making in COVID-19 ***,the high demand during the pandemic necessitates auxiliary help through image analysis and machine learning *** study presents a multi-threshold-based segmentation technique to probe high pixel intensity regions in CXR images of various pathologies,including normal *** information is extracted using gray co-occurrence matrix(GLCM)-based features,while vessel-like features are obtained using Frangi,Sato,and Meijering *** learning models employing Decision Tree(DT)and RandomForest(RF)approaches are designed to categorize CXR images into common lung infections,lung opacity(LO),COVID-19,and viral pneumonia(VP).The results demonstrate that the fusion of texture and vesselbased features provides an effective ML model for aiding *** ML model validation using performance measures,including an accuracy of approximately 91.8%with an RF-based classifier,supports the usefulness of the feature set and classifier model in categorizing the four different ***,the study investigates the importance of the devised features in identifying the underlying pathology and incorporates histogrambased *** analysis reveals varying natural pixel distributions in CXR images belonging to the normal,COVID-19,LO,and VP groups,motivating the incorporation of additional features such as mean,standard deviation,skewness,and percentile based on the filtered ***,the study achieves a considerable improvement in categorizing COVID-19 from LO,with a true positive rate of 97%,further substantiating the effectiveness of the methodology implemented.

关键词： Chest radiography(CXR)image COVID-19 classifier machine learning random forest texture analysis

Nitrosamines crisis in pharmaceuticals-Insights on toxicological implications,root causes and risk assessment:A systematic review

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Journal of Pharmaceutical Analysis 2024年第5期14卷 639-652页

作者： Hemanth P.R.Vikram Tegginamath Pramod Kumar Gunjan Kumar Narasimha M.Beeraka Rajashree Deka Sheik Mohammed suhail Sandeep Jat Namitha Bannimath Gayatiri Padmanabhan Ravandur S.Chandan Pramod Kumar Bannimath Gurupadayya Department of Pharmaceutical Chemistry JSS College of Pharmacy MysuruJSS Academy of Higher Education and Research(JSSAHER)Mysuru570015India Xenone Healthcare Pvt.Ltd. New Delhi110076India Department of Pharmaceutics JSS College of Pharmacy MysuruJSS Academy of Higher Education and Research(JSSAHER)Mysuru570015India Department of Human Anatomy I.M.Sechenov First Moscow State Medical University(Sechenov University)Moscow119991Russian Federation Department of Pharmacology Raghavendra Institute of Pharmaceutical Education and Research(RIPER)Ananthapuramu515721India Herman B.Wells Center for Pediatric Research Department of PediatricsIndiana University School of MedicineIndianapolisIN46202USA Animal Physiology and Biochemistry Laboratory Department of ZoologyGauhati UniversityGuwahati781014India Department of Pharmacology JSS College of Pharmacy MysuruJSS Academy of Higher Education and Research(JSSAHER)Mysuru570015India Department of Pharmaceutical Analysis National Institute of Pharmaceutical Education and Research(NIPER)-GuwahatiChangsari781101India Department of Pharmacology University of GalwayGalwayH91 TK33Ireland

The presence of N-nitroso compounds,particularly N-nitrosamines,in pharmaceutical products has raised global safety concerns due to their significant genotoxic and mutagenic *** systematic review investigates their toxicity in active pharmaceutical ingredients(APIs),drug products,and pharmaceutical excipients,along with novel analytical strategies for detection,root cause analysis,reformulation strategies,and regulatory guidelines for *** review emphasizes the molecular toxicity of N-nitroso compounds,focusing on genotoxic,mutagenic,carcinogenic,and other physiological ***,it addresses the ongoing nitrosamine crisis,the development of nitrosamine-free products,and the importance of sensitive detection methods and precise risk *** comprehensive overview will aid molecular biologists,analytical scientists,formulation scientists in research and development sector,and researchers involved in management of nitrosamine-induced toxicity and promoting safer pharmaceutical products.

关键词： Carcinogenicity Genotoxicity Mutagenicity Molecular toxicity Nitrosamine impurities Nitrosamine drug substance-related impurities

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高山杜鹃根腐病病原学研究

高山杜鹃根腐病病原学研究

Corrigendum to“Nitrosamines crisis in pharmaceuticals-Insights on toxicological implications,root causes and risk assessment:A systematic review”[***.14(2024)100919]

中国植物病理学会2021年学术年会

作者：刘迎龙何鹏搏何鹏飞吴毅歆 Shahzad Munir suhail asad 汤再祥张寒涛何月秋云南农业大学云南海达新生态环境建设有限公司

高山杜鹃(Rhododendron lapponicum)因其具有较高的园艺价值而被广泛种植。但随着种植时间的延长和规模扩大,一种新的根腐病引起高山杜鹃种植基地大量苗木死亡,且发病率等于死亡率。然而,其病原还不清楚。为了明确病因,笔者于2021年1月... 详细信息

高山杜鹃(Rhododendron lapponicum)因其具有较高的园艺价值而被广泛种植。但随着种植时间的延长和规模扩大,一种新的根腐病引起高山杜鹃种植基地大量苗木死亡,且发病率等于死亡率。然而,其病原还不清楚。为了明确病因,笔者于2021年1月进行了实地考察和采集样品,利用组织分离法、柯赫氏法则、形态特征观察及β-tubulin、ITS、Ypt1基因序列分析对分离物做鉴定,同时探究了病原菌的生物学特征,测定了病原物在常见园林景观植物上的寄主范围和化学药剂的室内毒力,筛选了病原拮抗微生物。根据柯赫氏法则,接种分离物Pci-1能引起高山杜鹃枯萎死亡,重新分离物仍与Pci-1形态一致,证实了该菌株为病原菌。病原菌Pci-1在pH值7.0～8.0的OA培养基及27℃的培养条件下最适宜生长,菌落白色,菌丝无隔,培养后期易形成肿胀结构和孢子囊,孢子囊呈椭圆形或卵球形,一端呈乳突状凸起或无乳突状结构,成熟后释放出大量游动孢子;基于β-tubulin、ITS、Ypt1基因序列的系统发育树均显示分离物Pci-1与樟疫霉(Phytophthora cinnamomi)聚为一枝。综合形态学与分子片段序列结果,引起高山杜鹃根腐病的病原菌Pci-1为樟疫霉。在常见的60余种园林景观植物中,Pci-1能寄生蜀葵、油菜、桃、李、栾树、杜鹃、玉兰等10多种植物离体叶片并引起腐烂。高山杜鹃根际拮抗菌多粘类芽孢杆菌P2-5和棘孢木霉NY-1对Pci-1分别有明显的抑制作用和寄生作用。对病原菌Pci-1的EC,烯酰吗啉为0.196 5μg/mL,氟吗啉为0.732 0μg/mL,烯酰·霜脲氰为0.189 4μg/mL,氟菌·霜霉威为4.692 7μg/mL和精甲·咯菌睛为1.335 5μg/mL,以烯酰吗啉毒力最高。以上研究结果表明:樟疫霉能引起高山杜鹃严重的根腐病,且寄主范围广,对云南地区的高山杜鹃和自然生态系统构成潜在威胁。本研究能为樟疫霉引起病害防控提供科学依据。

关键词：高山杜鹃疫霉根腐病樟疫霉拮抗菌烯酰吗啉

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Journal of Pharmaceutical Analysis 2024年第6期14卷 934-936页

Original statement in the Section 2:*** search Our primary screening of 180 articles yielded the relevant data for this *** selection A total of 180 articles spanning from 1960 to the present day,including original research,reviews,case reports and studies reporting nitrosamine impurities above the no-observed-adverse-effect levels(NOAEL)established by regulatory agencies,were initially *** the primary screening,we considered factors such as relevance,publication date,access to the full article text,and content.

关键词： statement initially spanning

General Formalism for the BRST Symmetry

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Communications in Theoretical Physics 2013年第4期59卷 439-442页

作者： suhail Ahmad Departmet of Physics Jamia Millia Islamia University

In this paper we will discuss Faddeev-Popov method for gauge theories with a general form of gauge symmetry in an abstract way. We will then develope a general formalism for dealing with the BRST symmetry. This formal... 详细信息

关键词： BRST symmetry Faddeev-Popov method

Recent advances in 3D printed electrode materials for electrochemical energy storage devices

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Journal of Energy Chemistry 2023年第6期81卷 272-312,I0008页

作者： suhail Mubarak Duraisami Dhamodharan Hun-Soo Byun Department of Chemical and Biomolecular Engineering Chonnam National UniversityYeosuJeonnam 59626Republic of Korea Greenlab Department of prosthodonticsSaveetha Dental College and HospitalsSaveetha Institute of Medical and Technical SciencesChennaiTamil Nadu 600077India

Electrochemical energy storage(EES)systems like batteries and supercapacitors are becoming the key power sources for attempts to change the energy dependency from inadequate fossil fuels to sustainable and renewable *** energy storage devices(EESDs)operate efficiently as a result of the construction and assemblage of electrodes and electrolytes with appropriate structures and effective *** manufacturing procedures have restrictions on regulating the morphology and architecture of the electrodes,which would influence the performance of the devices.3D printing(3DP)is an advanced manufacturing technology combining computer-aided design and has been recognised as an artistic method of fabricating different fragments of energy storage devices with its ability to precisely control the geometry,porosity,and morphology with improved specific energy and power *** capacity to create mathematically challenging shape or configuration designs and high-aspect-ratio 3D architectures makes 3D printing technology unique in its ***,the control settings,interactive manufacturing processes,and protracted post-treatments will affect the reproducibility of the printed *** intelligent software,sophisticated control systems,high-grade industrial equipment,and post-treatment-free methods are necessary to develop.3D printed(3DPd)EESDs necessitate dynamic printable materials and composites that are influenced by performance criteria and fundamental ***,we review the recent advances in 3DPd electrodes for EES *** emphasis is on printable material synthesis,3DP techniques,and the electrochemical performance of printed *** the fabrication of electrodes,we concentrate on major 3DP technologies such as direct ink writing(DIW),inkjet printing(IJP),fused deposition modelling(FDM),and stereolithography3DP(SLA).The benefits and drawbacks of each 3DP technology are extensively di

关键词： 3D printing 3D printed electrodes Electrochemical energy storage Lithium-ion battery Zinc-ion battery Supercapacitor

Classification of Teleparallel Homothetic Vector Fields in Cylindrically Symmetric Static Space-Times in Teleparallel Theory of Gravitation

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Communications in Theoretical Physics 2010年第10期54卷 675-678页

作者： Ghulam Shabbir suhail Khan Faculty of Engineering Sciences GIK Institute of Engineering Sciences and Technology

In this paper we classify cylindrically symmetric static space-times according to their teleparallel homothetic vector fields using direct integration technique. It turns out that the dimensions of the teleparallel homothetic vector fields are 4, 5, 7 or 11, which are the same in numbers as in general relativity. In case of 4, 5 or 7 proper teleparallel homothetic vector fields exist for the special choice to the space-times. In the case of 11 teleparallel homothetic vector fields the space-time becomes Minkowski with all the zero torsion components. Teleparallel homothetic vector fields in this case are exactly the same as in general relativity. It is important to note that this classification also covers the plane symmetric static space-times.

关键词： teleparallel homothetic vector fields WeitzenbSck connections torsion

An Improved Security Scheme for IEC 61850MMS Messages in Intelligent Substation Communication Networks

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Journal of Modern Power Systems and Clean Energy 2020年第3期8卷 591-595页

作者： Taha Selim Ustun S.M.suhail Hussain Fukushima Renewable Energy Institute AIST(FREA)FukushimaJapan Research Institute of the Energy Frontier TsukubaJapan

Advanced connectivity in substations brings along cybersecurity considerations. Especially, the use of standardized data objects and message structures stipulated by IEC 61850 makes them much more vulnerable to unauthorized access and manipulation. In order to tackle these vulnerabilities, different methods are investigated by researchers all over the world. An important aspect of such efforts is the real-time performance consideration since power systems are bound by the rules of physics and all control/communication tasks need to be completed in a certain time frame. Security schemes for substation communication have been proposed in the recent literature. However, they must be improved to ensure a full security solution. Recently published IEC 62351 standard aims to fill this gap. Node authentication is vital for substation communication networks based on IEC 61850 to mitigate a variety of attacks such as man-in-the-middle(MITM) attack. This short communication presents a node authentication mechanism based on transport layer security(TLS) with certificates to address this knowledge gap. It also investigates the real-time performance by implementing the proposed scheme with Python.

关键词： IEC 62351 standard certificate authority cer-tificate-based authentication cybersecurity smart grid

Spherical Gravitational Collapse in f(R) Gravity with Linear Equation of State

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Communications in Theoretical Physics 2018年第8期69卷 185-189页

作者： Zahid Ahmad Hassan Shah suhail Khan Department of Mathematics COMSATS Institute of Information Technology Department of Mathematics University of Peshawar

In a paper [Gen. Relativ. Gravit. 48(2016) 57] Chakrabarti and Banerjee investigated perfect fluid collapse in f(R) gravity model and claimed that such a collapse is possible. In this paper we show that without the assumption of dark energy it is not possible that perfect fluid spherical gravitational collapse will occur. We have solved the field equations by assuming linear equation of state(p = ωμ) in metric f(R) gravity with ω =-1. It is shown that Chakrabarti and Banerjee reached to false conclusion as they derived wrong field equations. We have also discussed formation of apparent horizon and singularity.

关键词： gravitational collapse matching conditions dark energy apparent horizon