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Integrity Assessment of Medical Devices for Improving Hospital Services

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Computers, Materials & Continua 2021年第6期67卷 3619-3633页

作者： Fahad A.Alzahrani Masood Ahmad mohd nadeem Rajeev Kumar Raees Ahmad Khan Department of Computer Engineering Umm Al-Qura UniversityMecca24381Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025Uttar PradeshIndia Department of Computer Application Shri Ramswaroop Memorial UniversityBarabanki225003Uttar PradeshIndia

The present study examines the various techniques being used to maintain the integrity of the medical devices,and develops a quantitative framework to list these in the sequence of *** achieve the intended objective,the study employs the combined procedure of Fuzzy Analytic Network Process(ANP)and Fuzzy Technical for Order Preference by Similarities to Ideal Solution(TOPSIS).We selected fuzzy based decision making techniques for assessing the integrity of medical *** suggested methodology was then used for classifying the suitable techniques used to evaluate the integrity of medical *** techniques or the procedures of integrity assessment were ranked according to their satisfaction *** rating of the options determined the order of priority for the *** per the findings of the study,among all the options,A1 was assessed to be the most likely *** means that the integrity of medical devices of A2 is the highest amongst all the chosen *** analysis will be a corroborative guideline for manufacturers and developers to quantitatively test the integrity of medical devices in order to engineer efficacious *** evaluations undertaken with the assistance of the planned procedure are accurate and *** instead of conducting a manual valuation,this experimental study is a better and reliable option for assessing the integrity of the medical devices.

关键词： Integrity of the medical devices fuzzy-ANP.TOPSIS security assessment

A Link Analysis Algorithm for Identification of Key Hidden Services

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Computers, Materials & Continua 2021年第7期68卷 877-886页

作者： Abdullah Alharbi mohd Faizan Wael Alosaimi Hashem Alyami mohd nadeem Suhel Ahmad Khan Alka Agrawal Raees Ahmad Khan Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025India Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Computer Science Indira Gandhi National Tribal UniversityAmarkantak84886India

The Tor dark web network has been reported to provide a breeding ground for criminals and fraudsters who are exploiting the vulnerabilities in the network to carry out illicit and unethical *** network has unfortunately become a means to perpetuate crimes like illegal drugs and firearm trafficking,violence and terrorist activities among *** government and law enforcement agencies are working relentlessly to control the misuse of Tor *** is a study in the similar league,with an attempt to suggest a link-based ranking technique to rank and identify the influential hidden services in the Tor dark *** proposed method considers the extent of connectivity to the surface web services and values of the centrality metrics of a hidden service in the web graph for *** modified PageRank algorithm is used to obtain the overall rankings of the hidden services in the *** graph metrics were used to evaluate the effectiveness of the proposed technique with other commonly known ranking procedures in *** proposed ranking technique is shown to produce good results in identifying the influential domains in the tor network.

关键词： Dark web Tor hidden services ranking link analysis

Prediction of COVID-19 Pandemic Spread in Kingdom of Saudi Arabia

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Computer Systems Science & Engineering 2021年第6期37卷 313-329页

作者： Abdulaziz Attaallah Sabita Khatri mohd nadeem Syed Anas Ansar Abhishek Kumar Pandey Alka Agrawal Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Kingdom of Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025Uttar PradeshIndia

A significant increase in the number of coronavirus cases can easily be noticed in most of the countries around the *** of the consistent preventive initiatives being taken to contain the spread of this virus,the unabated increase in the cases is both alarming and *** role of mathematical models in predicting and estimating the spread of the virus,and identifying various preventive factors dependencies has been found important and effective in most of the previous pandemics like Severe Acute Respiratory Syndrome(SARS)*** this research work,authors have proposed the Susceptible-Infectected-Removed(SIR)model variation in order to forecast the pattern of coronavirus disease(COVID-19)spread for the upcoming eight weeks in perspective of Saudi *** study has been performed by using SIR model with a proposed simplification using average progression for further estimation ofβandγvalues for better curve fittings *** predictive results of this study clearly show that under the current public health interventions,there will be an increase in the COVID-19 cases in Saudi Arabia in the next four ***,a set of strong health primitives and precautionary measures are recommended in order to avoid and prevent the further spread of COVID-19 in Saudi Arabia.

关键词： COVID-19 pandemic Saudi Arabia SIR model prediction model

Deep-piRNA:Bi-Layered Prediction Model for PIWI-Interacting RNA Using Discriminative Features

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Computers, Materials & Continua 2022年第8期72卷 2243-2258页

作者： Salman Khan Mukhtaj Khan nadeem Iqbal mohd Amiruddin Abd Rahman Muhammad Khalis Abdul Karim Department of Computer Science Abdul Wali Khan University MardanKhyber Pakhtunkhwa23200Pakistan Department of Information Technology University of HaripurKhyber Pakhtunkhwa22620Pakistan Faculty of Science Universiti Putra MalaysiaUPM Serdang43400Malaysia

Piwi-interacting Ribonucleic acids(piRNAs)molecule is a wellknown subclass of small non-codingRNAmolecules that are mainly responsible for maintaining genome integrity,regulating gene expression,and germline stem cell maintenance by suppressing transposon *** piRNAs molecule can be used for the diagnosis of multiple tumor types and drug *** to the vital roles of the piRNA in computational biology,the identification of piRNAs has become an important area of research in computational *** paper proposes a two-layer predictor to improve the prediction of piRNAs and their function using deep learning *** proposed model applies various feature extraction methods to consider both structure information and physicochemical properties of the biological sequences during the feature extraction *** outcome of the proposed model is extensively evaluated using the k-fold cross-validation *** evaluation result shows that the proposed predictor performed better than the existing models with accuracy improvement of 7.59%and 2.81%at layer I and layer II *** is anticipated that the proposed model could be a beneficial tool for cancer diagnosis and precision medicine.

关键词： Deep neural network DNC TNC CKSNAP PseDPC cancer discovery Piwi-interacting RNAs Deep-piRNA

Utilizing the γ-Irradiated Sodium Alginate as a Plant Growth Promoter for Enhancing the Growth,Physiological Activities,and Alkaloids Production in Catharanthus roseus L.

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Agricultural Sciences in China 2011年第8期10卷 1213-1221页

作者： mohd Idrees mohd Naeem Masidur Alam Tariq Aftab nadeem Hashmi mohd Masroor Akhtar Khan Moinuddin Lalit Varshney Department of Botany Aligarh Muslim University Bhabha Atomic Research Centre

Sodium alginate is a polysaccharide that is largely obtained from the brown algae （Sargassum sp.）.It has been used as a wonderful growth promoting substance in its depolymerized form for various *** aim of this study was to find out the effects of various concentrations of γ-irradiated sodium alginate （ISA）,viz.,deionized water （control,T0）,20 （T1）,40 （T2）,60 （T3）,80 （T4）,and 100 ppm （T5） on the agricultural performance of Catharanthus roseus L.（Rosea） in terms of growth attributes,photosynthesis,physiological activities,and alkaloid *** present work revealed that ISA applied as leaf-sprays at concentrations from 20 to 100 ppm might improve growth,photosynthesis,physiological activities,and alkaloid production in *** *** the various ISA concentrations,80 ppm proved to be the best one compared to other concentrations applied.

关键词： γ-irradiated sodium alginate plant growth promoter chlorophyll and carotenoids content carbonic anhydrase and nitrate reductase activities growth attributes photosynthesis

New insights on the utilization of ultrasonicated mustard seed cake:chemical composition and antagonistic potential for root-knot nematode,Meloidogyne javanica

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2021年第7期22卷 563-574页

作者： Hera nadeem Pieter MALAN Amir KHAN mohd ASIF Mansoor AHMAD SIDDIQUI Simon TUHAFENI ANGOMBE Faheem AHMAD Department of Botany Aligarh Muslim UniversityAligarh-202002U.P.India Department of Botany School of Biological SciencesNorth-West University(Mafikeng Campus)Mmabatho 2735South Africa Pharmacopoeia Commission for Indian Medicine and Homeopathy Ghaziabad-201002U.P.India Faculty of Agriculture and Natural Resources University of NamibiaWindhoek 10026Namibia

This study focused,for the first time,on the effect of ultrasonic features on the extraction efficiency of secondary metabolites in mustard seed cake(MSC).The nematostatic potential of sonicated seed cake was examined against the second-stage juveniles(J2s)of root-knot nematode,Meloidogyne *** results show that a 35 ppm(parts per million)concentration of a sonicated extract(SE)sample of MSC caused 65%J2s mortality at 18 h exposure period in *** also significantly suppressed the root-knot index(RKI=0.94)in tomato *** lethal concentration values for SE were 51.76,29.79,and 13.34 ppm,respectively,at 6,12,and 18 h of the exposure period,and the lethal concentration values for the non-sonicated extract(NSE)sample were 116.95,76.38,and 55.59 ppm,respectively,at similar exposure *** and gluconapin were identified as the major compounds in ultrasonic-assisted *** of the high extraction efficiency of metabolites in the SE,all treat‐ments of SE were shown to be antagonistic to ***,this study of ultrasonication activity-based profiling of MSC may help generate target-based compounds at a scale relevant to the control of disease caused by nematodes in economic crops.

关键词： Plant-parasitic nematode Plant by-product Sono-extraction Liquid chromatography-electrospray ionization-mass spectrometry(LC-ESI-MS) Natural compound Nematode management

Modeling of Antenna for Deep Target Hydrocarbon Exploration

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Journal of Electromagnetic Analysis and Applications 2012年第1期4卷 30-41页

作者： Noorhana Yahya nadeem Nasir Majid Niaz Akhtar Muhammad Kashif Hasnah mohd Zaid Afza Shafie 不详

Nowadays control source electromagnetic method is used for offshore hydrocarbon exploration. Hydrocarbon detection in sea bed logging (SBL) is a very challenging task for deep target hydrocarbon reservoir. Response of electromagnetic (EM) field from marine environment is very low and it is very difficult to predict deep target reservoir below 2 km from the sea floor. This work premise deals with modeling of new antenna for deep water deep target hydrocarbon exploration. Conventional and new EM antennas at 0.125 Hz frequency are used in modeling for the detection of deep target hydrocarbon reservoir. The proposed area of the seabed model (40 km ′ 40 km) was simulated by using CST (computer simulation technology) EM studio based on Finite Integration Method (FIM). Electromagnetic field components were compared at 500 m target depth and it was concluded that Ex and Hz components shows better resistivity contrast. Comparison of conventional and new antenna for different target depths was done in our proposed model. From the results, it was observed that conventional antenna at 0.125 Hz shows 70%, 86% resistivity contrast at target depth of 1000 m where as new antenna showed 329%, 355% resistivity contrast at the same target depth for Ex and Hz field respectively. It was also investigated that at frequency of 0.125 Hz, new antenna gave 46% better delineation of hydrocarbon at 4000 m target depth. This is due to focusing of electromagnetic waves by using new antenna. New antenna design gave 125% more extra depth than straight antenna for deep target hydrocarbon detection. Numerical modeling for straight and new antenna was also done to know general equation for electromagnetic field behavior with target depth. From this numerical model it was speculated that this new antenna can detect up to 4.5 km target depth. This new EM antenna may open new frontiers for oil and gas industry for the detection of deep target hydrocarbon reservoir (HC).

关键词： Electromagnetic Hydrocarbon SBL Antenna CST

Guided and Direct Wave Evaluation of Controlled Source Electromagnetic Survey Using Finite Element Method

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Journal of Electromagnetic Analysis and Applications 2012年第3期4卷 135-146页

作者： Noorhana Yahya Majid Niaz Akhtar nadeem Nasir Muhammad Kashif Afza Shafie Hasnah mohd Zaid Electrical and Electronic Engineering Department Universiti Teknologi PETRONAS Bandar Seri Iskandar Tronoh Malaysia Fundamental and Applied Sciences Department Bandar Seri Iskandar Tronoh Malaysia

Deep target hydrocarbon detection is still challenging and expensive. Direct hydrocarbon indicators (DHIs) in seismic data do not correspond to economical hydrocarbon exploration. Due to unreliability in seismic data for the detection of DHIs, new methods have been investigated. Marine controlled source electromagnet (MCSEM) or Sea bed logging (SBL) is new method for the detection of deep target hydrocarbon reservoir. Sea bed logging has also the potential to reduce the risks of DHIs in deep sea environment. Modelling of real sea environment helps to reduce the further risks before drilling the oil wells. 3D electromagnetic (EM) modelling of seabed logging requires more accurate methods for the detection of hydrocarbon reservoir. Finite element method (FEM) is chosen for the modelling of seabed logging to get more precise EM response from hydrocarbon reservoir below 4000 m from seabed. FEM allows to investigate the total electric and magnetic fields instead of scattered electric and magnetic fields, which shows accurate and precise resistivity contrast below the seabed. From the modelling results, It was investigated that Hz field shows higher magni- tude with 342% than the Ex field. It was observed that 0.125 Hz frequency can be able to show better resistivity contrast of Hz field (31.30%) and Ex field (16.49%) at target depth of 1000 m below seafloor for our proposed model. Hz and Ex field delineation was found to decrease as target depth increased from 1000 m to 4000 m. At the target depth of 4000 m, no field delineation response was seen from the current electromagnetic (EM) antenna used by the industry. New EM antenna has been used to see the EM response for deep target hydrocarbon detection. It was investigated that novel EM antenna shows better delineation at 4000 m target depth for Ex and Hz field up to 10.3% and 15.1% respectively. Novel EM antenna also shows better Hz phase response (128.4%) than the Ex phase response (38.3%) at the target depth of 4000 m

关键词： Sea Bed Logging Controlled Source Electromagnetic (CSEM) Electromagnetic (EM) Antenna and Finite Element Method

Electromagnetic Response Studies of the Antenna for Deep Water Deep Target CSEM Environments

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Journal of Electromagnetic Analysis and Applications 2012年第12期4卷 513-522页

作者： Noorhana Yahya nadeem Nasir Majid Niaz Akhtar Muhammad Kashif Tanvir Hussain Hasnah mohd Zaid Afza Shafie Electrical and Electronic Engineering Department Tronoh Malayia Electrical and Electronic Engineering Department Tronoh Malayia 3Fundamental and Applied Science Department National Textile University Faisalabad Pakistan Fundamental and Applied Science Department Tronoh Malayia Fundamental and Applied Science Department Tronoh Malayia 2Electrical and Electronic Engineering Department Tronoh Malayia Mechanical Engineering Department Universiti Teknologi PETRONAS Tronoh Malaysia.

The Controlled Source Electromagnetic Method (CSEM) is used for offshore hydrocarbon exploration. Hydrocarbon detection in seabed logging (SBL) is a very challenging task for deep hydrocarbon reservoirs. The electromagnetic field response of an antenna is unable to detect deep hydrocarbon reservoirs due to a weak electromagnetic signal response in the seabed logging environment. This work premise deals with the comparison of the electromagnetic signal strength of a new antenna with a straight antenna and the orientation of an antenna for deep target hydrocarbon exploration. Antenna position and orientation (Tx and Ty) was studied using Computer Simulation Technology software (CST) for deep targets in marine CSEM environments. The model area was assigned as (40 ′ 40 km) to replicate the real seabed environment. From the results, the new dipole antenna shows an 804% and 278% increase in electric and magnetic field strength than the straight antenna. An electric (E) and magnetic (H) field component study was done with and without the presence of a hydrocarbon reservoir. Ex and Hz field component responses with the new antenna at the1 kmtarget were measured in a deep water environment. It was analyzed that the antenna shows 53.10% (Ex) and 83.13% (Hz) field difference in deep water with and without a hydrocarbon reservoir at the30 mantenna position from the sea floor. From the antenna orientation results, it was observed that, the electric field Ex and magnetic field Hz responses decreased from 18% to 12% and 21% to 16%, respectively but was still able to detect the deep target hydrocarbon reservoir at the4 kmtarget depth. This EM antenna may open new frontiers for the oil and gas industry for deep target hydrocarbon detection (HC).

关键词： Control Source Electromagnetic (CSEM) Seabed Logging (SBL) Antenna Computer Simulation Technology (CST) Hydrocarbon (HC)