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Burnout amongst radiologists:A bibliometric study from 1993 to 2020

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World Journal of Psychiatry 2022年第2期12卷 368-378页

作者： muhammad Fazal Hussain qureshi Danish Mohammad Syed Mustafa ali Shah Mahira Lakhani Muzna Shah muhammad Hassan Ayub Sara Sadiq Medical College Ziauddin UniversityKarachi 75000SindhPakistan Department of Physiology CMH Institute of Medical SciencesBahawalpur 75000Pakistan

BACKGROUND Burnout amongst radiologists is common in many different institutions and is increasing day by *** battle burnout,we have to address the root causes already recognized in published ***,it is crucial to examine and discern important *** To provide evidence-based data and trends related to burnout in radiologists so that researchers can work on it further and develop preventive strategies to overcome this *** Bibliometric analysis conducted by two independent reviewers separately used Scopus Library for data extraction by using medical subject heading and International Classification of Diseases ***-nine articles were selected for analysis after an extensive *** Package for the Social Sciences version 20 was used for *** correlation coefficient,Kruskal Wallis test,and Mann-Whitney U test were *** The most productive period with regards to the number of publications was between 2017 and 2019.A total of 160 authors contributed to the topic burnout among radiologists,with an average of 3.26 authors per *** 41.68%of the authors were female,whilst 35%of them were first *** co-citation analysis by author involved 188 cited authors,13 of whom were cited at least 70 *** six out of forty-nine studies were funded by various government institutions and non-governmental *** Current analysis casts a spotlight on important trends being witnessed in regard to the mental health of radiologists,including lack of funding for mental health research,narrowing of female vs male citation gap,as well as authorship and citation trends.

关键词： Bibliometric Analysis Burnout Radiologist Stress Scientometrics

Aspect Level Songs Rating Based Upon Reviews in English

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Computers, Materials & Continua 2023年第2期74卷 2589-2605页

作者： muhammad Aasim qureshi muhammad Asif Saira Anwar Umar Shaukat Atta-ur-Rahman muhammad Adnan Khan Amir Mosavi Department of Computer Science Bahria University Lahore54000Pakistan Lahore Institute of Science and Technology Lahore 54792Pakistan Department of Multidisciplinary Engineering Texas A&M UniversityCollege Station77843USA Department of Computer Science College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal University(IAU)P.O.Box 1982Dammam 31441Saudi Arabia Department of Software Gachon UniversitySeongnam13120Korea John von Neumann Faculty of Informatics Obuda UniversityBudapest1034Hungary Institute of Information Engineering Automation and MathematicsSlovak University of Technology in BratislavaBratislava81107Slovakia Faculty of Civil Engineering TU-DresdenDresden01062Germany

With the advancements in internet facilities,people are more inclined towards the use of online *** service providers shelve their items for *** users post their feedbacks,reviews,ratings,*** the use of the *** enormous increase in these reviews has raised the need for an automated system to analyze these reviews to rate these *** Analysis(SA)is a technique that performs such decision *** research targets the ranking and rating through sentiment analysis of these reviews,on different *** a case study,Songs are opted to design and test the decision *** aspects of songs namely music,lyrics,song,voice and video are *** the reason,reviews of 20 songs are scraped from YouTube,pre-processed and formed a *** machine learning algorithms—Naïve Bayes(NB),Gradient Boost Tree,Logistic Regression LR,K-Nearest Neighbors(KNN)and Artificial Neural Network(ANN)are *** performed the best with 74.99%*** are validated using K-Fold.

关键词： Machine learning natural language processing songs reviews:sentiment analysis songs rating aspect level sentiment analysis reviews analysis text classification music

AI-Enabled Grouping Bridgehead to Secure Penetration Topics of Metaverse

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Computers, Materials & Continua 2022年第12期73卷 5609-5624页

作者： Woo Hyun Park Isma Farah Siddiqui Nawab muhammad Faseeh qureshi Department of Electrical and Computer Engineering Sungkyunkwan UniversitySuwon16419Korea Department of Computer Education Sungkyunkwan UniversitySeoul03063Korea Department of Software Engineering Mehran University of Engineering&TechnologyJamshoroPakistan

With the advent of the big data era,security issues in the context of artificial intelligence(AI)and data analysis are attracting research *** the metaverse,which will become a virtual asset in the future,users’communication,movement with characters,text elements,etc.,are required to integrate the real and ***,they can be exposed to ***,various hacker threats *** example,users’assets are exposed through notices and mail alerts regularly sent to users by *** the future,hacker threats will increase mainly due to naturally anonymous ***,it is necessary to use the natural language processing technology of artificial intelligence,especially term frequency-inverse document frequency,word2vec,gated recurrent unit,recurrent neural network,and long-short term ***,several application versions are ***,research on tasks and performance for algorithm application is *** propose a grouping algorithm that focuses on securing various bridgehead strategies to secure topics for security and safety within the *** algorithm comprises three modules:extracting topics from attacks,managing dimensions,and performing ***,we create 24 topic-based *** normal and spam mail attacks to verify our algorithm,the accuracy of the previous application version was increased by∼0.4%-1.5%.

关键词： Metaverse security computational linguistics grouping bridgehead AI

Ambient BackCom in beyond 5G NOMA networks: A multi-cell resource allocation framework

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Digital Communications and Networks 2022年第6期8卷 1005-1013页

作者： Wali Ullah Khan Fida Hussain Memon Kapal Dev muhammad Awais Javed Dinh-Thuan Do Nawab muhammad Faseeh qureshi Interdisciplinary Centre for Security Reliability and Trust(SnT)University of Luxembourg1855 Luxembourg CityLuxembourg Department of Electrical Engineering Sukkur IBA University Pakistan Department of Institute of Intelligent Systems University of JohannesburgSouth Africa Department of Electrical and Computer Engineering COMSATS University Islamabad44000IslamabadPakistan Electrical Engineering Department University of Colorado DenverDenverCO80204USA Department of Computer Education Sungkyunkwan UniversitySeoulSouth Korea

The research of Non-Orthogonal Multiple Access (NOMA) is extensively used to improve the capacity of networks beyond the fifth-generation. The recent merger of NOMA with ambient Backscatter Communication (BackCom), though opening new possibilities for massive connectivity, poses several challenges in dense wireless networks. One such challenge is the performance degradation of ambient BackCom in multi-cell NOMA networks under the effect of inter-cell interference. Driven by providing an efficient solution to the issue, this article proposes a new resource allocation framework that uses a duality theory approach. Specifically, the sum rate of the multi-cell network with backscatter tags and NOMA user equipment is maximized by formulating a joint optimization problem. To find the efficient base station transmit power and backscatter reflection coefficient in each cell, the original problem is first divided into two subproblems, and then the closed form solution is derived. A comparison with the Orthogonal Multiple Access (OMA) ambient BackCom and pure NOMA transmission has been provided. Simulation results of the proposed NOMA ambient BackCom indicate a significant improvement over the OMA ambient BackCom and pure NOMA in terms of sum-rate gains.

关键词： Beyond fifth-generation Non-orthogonal multiple access Ambient BackCom Spectrum efficiency optimization

NLP-Based Subject with Emotions Joint Analytics for Epidemic Articles

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Computers, Materials & Continua 2022年第11期73卷 2985-3001页

作者： Woo Hyun Park Isma Farah Siddiqui Dong Ryeol Shin Nawab muhammad Faseeh qureshi Department of Electrical and Computer Engineering Sungkyunkwan UniversitySuwon16419Korea Department of Software Engineering Mehran University of Engineering&TechnologyJamshoroPakistan Department of Computer Education Sungkyunkwan UniversitySeoul03063Korea

have been focused on addressing the Covid-19 pandemic;for example,governments have implemented countermeasures,such as quarantining,pushing vaccine shots to minimize local spread,investigating and analyzing the virus’characteristics,and conducting epidemiological investigations through patient management and ***,researchers worldwide require funding to achieve these ***,there is a need for documentation to investigate and trace disease ***,it is time consuming and resource intensive to work with documents comprising many types of unstructured ***,in this study,natural language processing technology is used to automatically classify these *** used statistical methods include data cleansing,query modification,sentiment analysis,and ***,owing to limitations with respect to the data,it is necessary to understand how to perform data analysis suitable for medical *** solve this problem,this study proposes a robust in-depth mixed with subject and emotion model comprising three *** first is a subject and non-linear emotional module,which extracts topics from the data and supplements them with emotional *** second is a subject with singular value decomposition in the emotion model,which is a dimensional decomposition module that uses subject analysis and an emotion *** third involves embedding with singular value decomposition using an emotion module,which is a dimensional decomposition method that uses emotion *** accuracy and other model measurements,such as the F1,area under the curve,and recall are evaluated based on an article on Middle East respiratory syndrome.A high F1 score of approximately 91%is *** proposed joint analysis method is expected to provide a better synergistic effect in the dataset.

关键词： Computational linguistic AI epidemic healthcare classification

A Flexible Architecture for Cryptographic Applications: ECC and PRESENT

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Computers, Materials & Continua 2023年第7期76卷 1009-1025页

作者： muhammad Rashid Omar S.Sonbul muhammad Arif Furqan Aziz qureshi Saud.S.Alotaibi Mohammad H.Sinky Department of Computer Engineering Umm Al-Qura UniversityMakkah21955Saudi Arabia Computer Science Department Umm Al-Qura UniversityMakkah21955Saudi Arabia Cyber R&D Specialist NASTPRawalpindi46000Pakistan Department of Information Systems Umm Al-Qura UniversityMakkah21955Saudi Arabia

This work presents a flexible/unified hardware architecture of Elliptic-curve Cryptography(ECC)and PRESENT for cryptographic *** features of the proposed work are(i)computation of only the point multiplication operation of ECC over GF(2163)for a 163-bit key generation,(ii)execution of only the variant of an 80-bit PRESENT block cipher for data encryption&decryption and(iii)execution of point multiplication operation(ECC algorithm)along with the data encryption and decryption(PRESENT algorithm).To establish an area overhead for the flexible design,dedicated hardware architectures of ECC and PRESENT are implemented in the first step,and a sum of their hardware area is ***,the implementation of the proposed flexible architecture for ECC and PRESENT algorithms is *** results regarding the area,clock cycles,latency,clock frequency,and power after the place-and-route level on Xilinx Virtex-5,Virtex-6,and Virtex-7 FPGA devices are ***,the implementation results and comparisons show that the proposed architecture suits applications demanding flexible implementation of cryptographic applications.

关键词： Flexible unified design ECC PRESENT FPGA

Stochastic Computational Approach for Complex Nonlinear Ordinary Differential Equations

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Chinese Physics Letters 2011年第2期28卷 20-23页

作者： Junaid ali Khan muhammad Asif Zahoor Raja Ijaz Mansoor qureshi Department of Electronic Engineering International Islamic UniversityIslamabadPakistan Department of Electrical Engineering Air UniversityIslamabadPakistan

We present an evolutionary computational approach for the solution of nonlinear ordinary differential equations(NLODEs).The mathematical modeling is performed by a feed-forward artificial neural network that defines an unsupervised *** training of these networks is achieved by a hybrid intelligent algorithm,a combination of global search with genetic algorithm and local search by pattern search *** applicability of this approach ranges from single order NLODEs,to systems of coupled differential *** illustrate the method by solving a variety of model problems and present comparisons with solutions obtained by exact methods and classical numerical *** solution is provided on a continuous finite time interval unlike the other numerical techniques with comparable *** the advent of neuroprocessors and digital signal processors the method becomes particularly interesting due to the expected essential gains in the execution speed.

关键词： technique methods ordinary

Novel Approach for a van der Pol Oscillator in the Continuous Time Domain

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Chinese Physics Letters 2011年第11期28卷 16-19页

作者： Junaid ali Khan muhammad Asif Zahoor Raja Ijaz Mansoor qureshi Department of Electronic Engineering International Islamic UniversityIslamabadPakistan

We investigate the continuous time domain numerical treatment of a van der Pol oscillator,applying the trial solution as an artificial feed-forward neural network model containing unknown adjustable *** optimization of the network is performed by simulated annealing in an unsupervised *** proposed scheme is tested successfully by its application in both non-stiff and stiff *** reliability and effectiveness is validated through comprehensive statistical *** obtained results are in good agreement with the classical RK45 method.

关键词： artificial neural stiff

Effects of droplet size and spray interval on root-to-shoot ratio,photosynthesis efficiency,and nutritional quality of aeroponically grown butter head lettuce

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International Journal of Agricultural and Biological Engineering 2022年第1期15卷 79-88页

作者： Mazhar Hussain Tunio Jianmin Gao Waqar Ahmed qureshi Sher ali Sheikh Jiedong Chen Farman ali Chandio Imran ali Lakhiar Kashif ali Solangi School of Agricultural Engineering Jiangsu UniversityZhenjiang 212013JiangsuChina

The proper selection of the atomizer(droplet size)and nutrient solution spray interval is one of the most important factors to be investigated in aeroponics system for sustainable *** aim of this study was to research the effects of four aeroponics atomizing nozzles(one air-assisted;A_(1),two air-less;A_(2) and A_(3),and one ultrasonic fogger;A_(4))with droplet sizes of 11.24μm,26.35μm,17.38μm,and 4.89μm,respectively,four spray intervals(15 min(I_(1)),30 min(I_(2)),45 min(I_(3))and 60 min(I_(4)))at a 5 min of constant spray time by atomizing the Hoagland’s nutrient solution on growth,root-to-shoot ratio,photosynthesis characteristics,pigments,and nutritional quality of the aeroponically grown *** experimental results demonstrated that in A_(1) atomizer and I_(2) interval,the growth,photosynthesis efficiency,chlorophyll,carotenoids,and nutritional values of the lettuce were significantly higher compared to that grown in A_(2) and A_(3) atomizers at all spray *** shoot developments were more constrained than root,prominent to the alteration of root-to-shoot ratio(fresh and dry)in the influence of different droplet sizes and spray ***,the plants did not grow well in A_(4) atomizer associated with proposed spray *** results disclosed that there was an obvious interaction between droplet sizes(atomizers)and spray intervals for growth,the ratio of root to shoot,photosynthesis efficiency,pigments,and nutritional quality of the aeroponically grown *** research study increases the awareness of the proper droplet size(atomizer)and the regulation of nutrient solution spray interval for leafy vegetables grown in an aeroponics system.

关键词： aeroponics system atomizers droplet sizes photosynthesis efficiency chlorophyll contents quality of lettuce