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Longitudinal Evaluation of Right Ventricle Function after Right Ventricle-Pulmonary Artery Shunt ***-Taussig Shunt

Congenital Heart Disease 2021年第1期16卷 27-37页

作者： Nunzia Borrelli Jolanda Sabatino Martina Avesani Josefa Paredes manjit josen Alain Fraisse Paolo Guccione Guido Michielon Giovanni Di Salvo Paediatric Cardiology Department Royal Brompton HospitalLondonSW36NPUK Paediatric Cardiology Department Bambino GesùPaediatric HospitalRome00165Italy Cardiology Department “Magna Graecia”UniversityCatanzaro88100Italy Paediatric Cardiology Department University of PaduaPadua35128Italy

Background:Still little is known about the impact on right ventricle function of the 2 main approaches to Norwood palliation in Hypoplastic left heart syndrome,the right ventricle-pulmonary artery shunt(RVPAS)and the modified Blalock-Taussig shunt(mBTS).Methods:The cohort included 27 patients with Hypoplastic left heart syndrome(10 in the mBTS group,17 in the RVPAS group).Longitudinal strain,tricuspid annulus peak systolic excursion and fractional area change were evaluated before Norwood and in four different breakpoints in the steady-state after Norwood procedure(30-days,90-days,140-days and 200-days after Norwood).Results:No significant differences were found in all standard echocardiographic functional parameters between the two groups at any ***,when we compared right ventricle function before and after Norwood procedure,longitudinal strain significantly improved in mBTS group compared to pre-surgical assessment(after 90-days:mBTS+27,35%±43,47 ***-8,20%±25,25,p=0,03;after 200-days:mBTS+10.19%±36.58 ***-21.64%±30.43,p=0.04).Conclusion:The mBTS group,which did not receive any ventriculotomy,showed a significant increase in right ventricle longitudinal strain during *** data support the use of longitudinal strain in Hypoplastic left heart syndrome evaluation and may suggest potential value in terms of cardiac mechanics in using mBTS,preserving the right ventricle integrity.

关键词： Hypoplastic left heart syndrome speckle tracking echocardiography congenital heart disease

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Linear Recurring Sequences and Explicit Factors of x2nd—1 in Fq[x]

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Algebra Colloquium 2020年第3期27卷 563-574页

作者： manjit Singh Deenbandhu Chhotu Ram University of Science and Technology Murthal 131039 India

Let F_(q) be a finite field of odd characteristic containing q elements,and n be a positive *** important problem in finite field theory is to factorize x^(n)-1 into the product of irreducible factors over a finite *** the realm of theoretical needs,the availability of coefficients of irreducible factors over finite fields is also very important for *** this paper,we introduce second order linear recurring sequences in F_(q) and reformulate the explicit factorization of x^(2nd)-1 over in such a way that the coefficients of its irreducible factors can be determined from these sequences when d is an odd divisor of q+1.

关键词： linear recurring sequences factorization finite fields cyclotomic factors

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Characterizing changes in land cover and forest fragmentation from multitemporal Landsat observations(1993-2018)in the Dhorpatan Hunting Reserve,Nepal

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Journal of Forestry Research 2022年第1期33卷 159-170页

作者： Yali Zhang Sandeep Sharma manjit Bista Mingshi Li College of Forestry Nanjing Forestry UniversityLongpan Road 159Nanjing 210037People’s Republic of China Department of National Parks and Wildlife Conservation Madanbhandari PathKathmandu 44600Nepal Co-Innovation Center for Sustainable Forestry in Southern China Nanjing Forestry UniversityLongpan Road 159Nanjing 210037People’s Republic of China

Natural forces and anthropogenic activities greatly alter land cover,deteriorate or alleviate forest fragmentation and affect *** land cover and forest fragmentation dynamics have become a focus of concern for natural resource management agencies and biodiversity conservation ***,there are few land cover datasets and forest fragmentation information available for the Dhorpatan Hunting Reserve(DHR)of Nepal to develop targeted biodiversity conservation *** this study,these gaps were filled by characterizing land cover and forest fragmentation trends in the *** five Landsat images between 1993 and 2018,a support vector machine algorithm was applied to classify six land cover classes:forest,grasslands,barren lands,agricultural and built-up areas,water bodies,and snow and ***,two landscape process models and four landscape metrics were used to depict the forest fragmentation *** showed that forest cover increased from 39.4%in 1993 to 39.8%in ***,grasslands decreased from 38.2%in 1993 to 36.9%in *** forest shrinkage was responsible for forest loss during the period,suggesting that the loss of forest cover reduced the connectivity between forest and nonforested *** was the dominant component of the forest restoration process,implying that it avoided the occurrence of isolated *** maximum value of edge density and perimeter area fractal dimension metrics and the minimum value of aggregation index were observed in 2011,revealing that forests in this year were most *** specific observations from the current analysis can help local authorities and local communities,who are highly dependent on forest resources,to better develop local forest management and biodiversity conservation plans.

关键词： Land cover Forest fragmentation Spatial process model Fragstats

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ATS:A Novel Time-Sharing CPU Scheduling Algorithm Based on Features Similarities

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Computers, Materials & Continua 2022年第3期70卷 6271-6288页

作者： Samih M.Mostafa Sahar Ahmed Idris manjit Kaur Faculty of Computers and Information South Valley UniversityQena83523Egypt College of Industrial Engineering King Khalid UniversityAbhaSaudi Arabia School of Engineering and Applied Sciences Bennett UniversityGreater NoidaIndia

Minimizing time cost in time-shared operating systems is considered basic and essential task,and it is the most significant goal for the researchers who interested in CPU scheduling *** time,turnaround time,and number of context switches are themost time cost criteria used to compare between CPU scheduling *** scheduling algorithms are divided into non-preemptive and ***(RR)algorithm is the most famous as it is the basis for all the algorithms used in *** this paper,the authors proposed a novel CPU scheduling algorithm based on *** proposed algorithm is called Adjustable Time Slice(ATS).It reduces the time cost by taking the advantage of the low overhead of RR *** addition,ATS favors short processes allowing them to run longer time than given to long *** specific characteristics of each process are;its CPU execution time,weight,time slice,and number of context *** clusters the processes in groups depending on these *** traditionalRRassigns fixed time slice for each *** the other hand,dynamic variants of RR assign time slice for each process differs from other *** essential difference between ATS and the other methods is that it gives a set of processes a specific time based on their similarities within the same *** authors compared between ATS with five popular scheduling algorithms on nine datasets of *** datasets used in the comparison vary in their *** evaluation was measured in term of time cost and the experiments showed that the proposed algorithm reduces the time cost.

关键词： Clustering CPU scheduling round robin average turnaround time average waiting time

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Effect of E-Learning on Public Health and Environment During COVID-19 Lockdown

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Big Data Mining and Analytics 2021年第2期4卷 104-115页

作者： Avani Agarwal Sahil Sharma Vijay Kumar manjit Kaur Department of Computer Science Thapar Institute of Engineering and TechnologyPatiala 147001India Department of Computer Science and Engineering National Institute of TechnologyHamirpurHimachal Pradesh 177005India Department of Computer Science Engineering School of Engineering and Applied SciencesBennett UniversityGreater Noida 201310India

E-learning is the most promising venture in the entire world. During the COVID-19 lockdown, e-learning is successfully providing potential information to the students and researchers. In developing nations like India, with limited resources, e-learning tools and platforms provide a chance to make education available to middle and low income households. This paper gives insights about three different online services, namely Google Classroom,Zoom, and Microsoft Teams being used by three different educational institutions. We aim to analyze the efficiency and acceptability of e-learning tools among Indian students during the COVID-19 lockdown. The paper also aims to evaluate the impact of e-learning on the environment and public health during COVID-19 lockdown. It is found that e-learning has potential to reduce carbon emissions, which has beneficial impact on the environment. However, the mental health is impacted as e-learning may lead to self-isolation and reduction in academic achievements that may lead to anxiety and mental depression. Due to usage of electronic devices for learning, the eyes and neck muscles may be put in strain, having deleterious effects on physical health.

关键词： e-learning environment health COVID-19

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Syntheses of Soluble Biopolyimides Using 4-Aminophenylalanine

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Chinese Journal of Polymer Science 2020年第10期38卷 1117-1123,I0007页

作者： Kenji Takad Hiromasa Shinagaw Yuki Morita manjit SGrewal Kazuya Taya Amit Kumar Tatsuo Kaneko Graduate Schoo/of Advanced Science and Technology Energy and Environment AreaJapan Advanced Institute of Science and Technology(AISTI1-1 AsahidaiNomiIshikawa923-1292Japan Marialnrganomeallics Laboratony Department ofChemisty Atma Ram Sanatan Dharma CllegeUniversity of DelhiNew Delhi-10021India

4-Aminophenylalanine(4APhe),an exotic amino acid which is obtained as a microorganism metabolite of glucose,is polycondensed with various tetracarboxylic dianhydrides as a diamine monomer to obtain poly(amic acid)*** thermal imidization of poly(amic acid)s is made at 220°C with stepwise heating from 100°*** of the obtained polyimides(PIs)exhibited good solubility in organic solvents such as N,N-dimethylformamide,N.N dimethylacetamide,and *** progress of imidization was observed by proton nuclear magnetic resonance and infrared spectroscopy to confrm that the imidization ratio was up to 98%.Carboxylate group of the side-chains of PIs affected their solubilities despite the high imidization ratio,and the solubility was lost for any organic solvents by decarboxylation at 280。C,confirmed from mass-loss of thermogravimetric ***,a new series of PIs were obtained with abilities of solvent-molding in PI state and thermal resistivityt enhancement by further heating after molding.

关键词： Bio-based polymers Polyimides Amino acids 4-Aminophenylalanine Soluble polyimides

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Design and Simulation of Ring Network-on-Chip for Different Configured Nodes

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Computers, Materials & Continua 2022年第5期71卷 4085-4100页

作者： Arpit Jain Rakesh Kumar Dwivedi Hammam Alshazly Adesh Kumar Sami Bourouis manjit Kaur Faculty of Engineering&Computer Sciences Teerthanker Mahaveer UniversityMoradabadUttar Pradesh244001India Faculty of Computers and Information South Valley UniversityQena83523Egypt Department of Electrical and Electronics Engineering School of EngineeringUniversity of Petroleum and Energy StudiesDehradun248007India Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia School of Engineering and Applied Sciences Bennett UniversityGreater Noida201310India

The network-on-chip(NoC)technology is frequently referred to as a front-end solution to a back-end *** physical substructure that transfers data on the chip and ensures the quality of service begins to collapse when the size of semiconductor transistor dimensions shrinks and growing numbers of intellectual property(IP)blocks working together are integrated into a *** system on chip(SoC)architecture of today is so complex that not utilizing the crossbar and traditional hierarchical bus *** connectivity reduces the amount of hardware required for routing and functions,allowing SoCs with NoC interconnect fabrics to operate at higher ***(Octagons)is a direct NoC that is specifically used to solve the scalability problem by expanding each node in the shape of an *** paper discusses the ring NoC design concept and its simulation in Xilinx ISE 14.7,as well as the communication of functional *** the field-programmable gate array(FPGA)synthesis,the performance of NoC is evaluated in terms of hardware and timing *** design allows 64 to 256 node communication in a single chip with‘N’bit data transfer in the ring *** performance of the NoC is evaluated with variable nodes from 2 to 256 in Digilent manufactured Virtex-5 FPGA hardware.

关键词： Ring NoC FPGA synthesis nodes communication SoC design integrated synthesis environment

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A Novel Binary Emperor Penguin Optimizer for Feature Selection Tasks

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Computers, Materials & Continua 2022年第3期70卷 6239-6255页

作者： Minakshi Kalra Vijay Kumar manjit Kaur Sahar Ahmed Idris Saban Oturk Hammam Alshazly Computer Science Department Government College BahadurgarhBahadurgarh124507India CSE Department National Institute of Technology Hamirpur177005India School of Engineering and Applied Sciences Bennett UniversityGreater Noida201310India College of Industrial Engineering King Khalid UniversityAbhaSaudi Arabia Department of Electrical and Electronics Engineering Amasya UniversityAmasyaTurkey Faculty of Computers and Information South Valley UniversityQena83523Egypt

Nowadays,due to the increase in information resources,the number of parameters and complexity of feature vectors *** offermore practical solutions instead of exact solutions for the solution of this *** Emperor PenguinOptimizer(EPO)is one of the highest performing meta-heuristic algorithms of recent times that imposed the gathering behavior of emperor *** shows the superiority of its performance over a wide range of optimization problems thanks to its equal chance to each penguin and its fast convergence *** traditional EPO overcomes the optimization problems in continuous search space,many problems today shift to the binary search ***,in this study,using the power of traditional EPO,binary EPO(BEPO)is presented for the effective solution of binary-nature *** algorithm uses binary search space instead of searching solutions like conventional EPO algorithm in continuous search *** this purpose,the sigmoidal functions are preferred in determining the emperor *** addition,the boundaries of the search space remain constant by choosing binary ***’s performance is evaluated over twenty-nine benchmarking *** evaluations are made to reveal the superiority of the BEPO *** addition,the performance of the BEPO algorithm was evaluated for the binary feature selection *** experimental results reveal that the BEPO algorithm outperforms the existing binary meta-heuristic algorithms in both tasks.

关键词： Metaheuristics optimization algorithms emperor penguin optimizer intensification diversification feature selection

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Semantic Information Extraction from Multi-Corpora Using Deep Learning

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Computers, Materials & Continua 2022年第3期70卷 5021-5038页

作者： Sunil Kumar Hanumat G.Sastry Venkatadri Marriboyina Hammam Alshazly Sahar Ahmed Idris Madhushi Verma manjit Kaur School of Computer Science University of Petroleum and Energy StudiesDehradun248001India Amity School of Engineering and Technology Amity UniversityGwalior474003India Faculty of Computers and Information South Valley UniversityQena83523Egypt College of Industrial Engineering King Khalid UniversityAbhaSaudi Arabia Department of Computer Science Engineering Bennett UniversityGreater Noida201310India

Information extraction plays a vital role in natural language processing,to extract named entities and events from unstructured *** to the exponential data growth in the agricultural sector,extracting significant information has become a challenging *** existing deep learningbased techniques have been applied in smart agriculture for crop cultivation,crop disease detection,weed removal,and yield production,still it is difficult to find the semantics between extracted information due to unswerving effects of weather,soil,pest,and fertilizer *** paper consists of two *** initial phase,which proposes a data preprocessing technique for removal of ambiguity in input corpora,and the second phase proposes a novel deep learning-based long short-term memory with rectification in Adam optimizer andmultilayer perceptron to find agricultural-based named entity recognition,events,and relations between *** proposed algorithm has been trained and tested on four input corpora i.e.,agriculture,weather,soil,and pest&*** experimental results have been compared with existing techniques and itwas observed that the proposed algorithm outperformsWeighted-SOM,LSTM+RAO,PLR-DBN,KNN,and Na飗e Bayes on standard parameters like accuracy,sensitivity,and specificity.

关键词： Agriculture deep learning information extraction weather soil

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Screening of COVID-19 Patients Using Deep Learning and IoT Framework

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Computers, Materials & Continua 2021年第12期69卷 3459-3475页

作者： Harshit Kaushik Dilbag Singh Shailendra Tiwari manjit Kaur Chang-Won Jeong Yunyoung Nam Muhammad Attique Khan Manipal University Jaipur India Bennett University Greater NoidaIndia Thapar Institute of Engineering and Technology PatialaIndia Medical Convergence Research Center Wonkwang UniversityIksanKorea Department of Computer Science and Engineering Soonchunhyang UniversityAsanKorea Department of Computer Science HITEC UniversityTaxilaPakistan

In March 2020,the World Health Organization declared the coronavirus disease(COVID-19)outbreak as a pandemic due to its uncontrolled global *** transcription polymerase chain reaction is a laboratory test that is widely used for the diagnosis of this deadly ***,the limited availability of testing kits and qualified staff and the drastically increasing number of cases have hampered massive *** handle COVID19 testing problems,we apply the Internet of Things and artificial intelligence to achieve self-adaptive,secure,and fast resource allocation,real-time tracking,remote screening,and patient *** addition,we implement a cloud platform for efficient spectrum ***,we propose a cloudbased intelligent system for remote COVID-19 screening using cognitiveradio-based Internet of Things and deep ***,a deep learning technique recognizes radiographic patterns in chest computed tomography(CT)*** this end,contrast-limited adaptive histogram equalization is applied to an input CT scan followed by bilateral filtering to enhance the spatial *** image quality assessment of the CT scan is performed using the blind/referenceless image spatial quality ***,a deep transfer learning model,VGG-16,is trained to diagnose a suspected CT scan as either COVID-19 positive or *** results demonstrate that the proposed VGG-16 model outperforms existing COVID-19 screening models regarding accuracy,sensitivity,and *** results obtained from the proposed system can be verified by doctors and sent to remote places through the Internet.

关键词： Medical image analysis transfer learning vgg-16 image processing system pipeline quantitative evaluation internet of things

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