检索结果-南通市图书馆

Dynamics of novel COVID-19 in the presence of Co-morbidity

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Infectious Disease Modelling 2022年第2期7卷 138-160页

作者： amit kumar saha Chandra Nath Podder Ashrafi Meher Niger Department of Mathematics University of DhakaDhaka1000Bangladesh

A novel coronavirus(COVID-19)has emerged as a global serious public health issue from December *** having a weak immune system are more susceptible to coronavirus *** is a double challenge for people of any age with certain underlying medical conditions including cardiovascular disease,diabetes,high blood pressure and cancer ***-morbidity increases the probability of COVID-19 *** this paper a deterministic compartmental model is formulated to understand the transmission dynamics of *** mathematical analysis of the model shows that it exhibits backward bifurcation phenomenon when the basic reproduction number is less than *** the case of no re-infection it is shown that having the reproduction number less than one is necessary and sufficient for the effective control of COVID-19,that is,the disease free equilibrium is globally asymptotically stable when the reproduction threshold is less than ***,in the absence of reinfection,a unique endemic equilibrium of the model exists which is globally asymptotically stable whenever the reproduction number is greater than *** simulations of the model,using data relevant to COVID-19 transmission dynamics,show that the use of efficacious face masks publicly could lead to the elimination of COVID-19 up to a satisfactory *** study also shows that in the presence of co-morbidity,the disease increases significantly.

关键词： COVID-19 Co-morbidity Face-mask

Can Emax and platelet count truly differentiate between benign and malignant liver lesions?

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

World Journal of Gastroenterology 2025年第3期31卷 120-122页

作者： Manjeet kumar Goyal Omesh Goyal Department of Gastroenterology and Human Nutrition Unit All India Institute of Medical SciencesNew Delhi 110029DelhiIndia Department of Gastroenterology Dayanand Medical College and HospitalLudhiana 141001PunjabIndia

This letter critically evaluates Jiang et al's article on the differentiation of benign and malignant liver lesions using Emax and platelet *** notable findings,significant methodological and interpretative limitations are *** study lacks detailed assay conditions for Emax measurement,employs inadequate statistical methods without robust multivariate analysis,and does not provide clinically relevant threshold *** nomogram's reliance on Emax as a major diagnostic contributor is questionable due to attenuation in hepatocellular carcinoma patients with ***,the study's limitations,such as selection bias and confounding factors,are not adequately *** research should adopt more rigorous methodologies,including prospective studies with larger cohorts and standardized protocols for biomarker measurement,to enhance validity and clinical applicability.

关键词： Emax Platelet count Benign liver lesions Malignant liver lesions Hepatocellular carcinoma Cirrhosis Diagnostic biomarkers Shear wave elastography Methodological limitations Clinical utility

Power Quality Improvement for Grid-connected PV System Based on Distribution Static Compensator with Fuzzy Logic Controller and UVT/ADALINE-based Least Mean Square Controller

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Modern Power Systems and Clean Energy 2021年第6期9卷 1289-1299页

作者： amit kumar Pradeep kumar Electrical and Electronics Engineering Department Natioanl Institute of Technology Sikkim

This paper presents a novel method of power quality enrichment in a grid-connected photovoltaic(PV) system using a distribution static compensator(DSTATCOM). The paper consists of two-step control processes. In the primary step, a fuzzy logic controller(FLC) is employed in the DC-DC converter to extract the peak power point from the PV panel, where the FLC produces a switching signal for the DC-DC *** the secondary step, a unit vector template(UVT)/adaptive linear neuron(ADALINE)-based least mean square(LMS) controller is adopted in the DC-AC converter, i. e., voltage source converter(VSC). The input to this VSC is the boosted DC voltage, which originates from the PV panel as a result of DC-DC conversion. The VSC shunted with the power grid is known as a DSTATCOM, which can maintain the power quality in the distribution system. The UVT controller generates reference source currents from the grid voltages and DC-link *** ADALINE-based LMS controller calculates the online weight according to the previous weights by the sensed load current. The UVT/ADALINE-based LMS controller of a DSTATCOM performs several tasks such as maintaining the sinusoidal source current, achieving a unity power factor, and performing reactive power compensation. The reference current extracted from the UVT/ADALINE-based LMS controller is fed to the hysteresis current controller to obtain the desired switching signal for the VSC. A 100 k W solar PV system integrated into a three-phase four-wire distribution system through a four-leg VSC is designed in MATLAB/Simulink. The performances of the FLC and UVT/ADALINE-based LMS controllers are demonstrated under various irradiances as well as constant temperature and nonlinear loading conditions.

关键词： Adaptive linear neuron least mean square(LMS) fuzzy logic controller(FLC) maximum power point tracking(MPPT) photovoltaic(PV) unit vector template

Congruent Feature Selection Method to Improve the Efficacy of Machine Learning-Based Classification in Medical Image Processing

在线全文

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2025年第1期142卷 357-384页

作者： Mohd Anjum Naoufel Kraiem Hong Min Ashit kumar Dutta Yousef Ibrahim Daradkeh Department of Computer Engineering Aligarh Muslim UniversityAligarh202002India College of Computer Science King Khalid UniversityAbha61413Saudi Arabia School of Computing Gachon UniversitySeongnam13120Republic of Korea Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityRiyadh13713Saudi Arabia Department of Computer Engineering and Information College of Engineering in Wadi AlddawasirPrince Sattam bin Abdulaziz UniversityAl-Kharj16273Saudi Arabia

Machine learning(ML)is increasingly applied for medical image processing with appropriate learning *** applications include analyzing images of various organs,such as the brain,lung,eye,etc.,to identify specific flaws/diseases for *** primary concern of ML applications is the precise selection of flexible image features for pattern detection and region *** of the extracted image features are irrelevant and lead to an increase in computation ***,this article uses an analytical learning paradigm to design a Congruent Feature Selection Method to select the most relevant image *** process trains the learning paradigm using similarity and correlation-based features over different textural intensities and pixel *** similarity between the pixels over the various distribution patterns with high indexes is recommended for disease ***,the correlation based on intensity and distribution is analyzed to improve the feature selection ***,the more congruent pixels are sorted in the descending order of the selection,which identifies better regions than the ***,the learning paradigm is trained using intensity and region-based similarity to maximize the chances of ***,the probability of feature selection,regardless of the textures and medical image patterns,is *** process enhances the performance of ML applications for different medical image *** proposed method improves the accuracy,precision,and training rate by 13.19%,10.69%,and 11.06%,respectively,compared to other models for the selected *** mean error and selection time is also reduced by 12.56%and 13.56%,respectively,compared to the same models and dataset.

关键词： Computer vision feature selection machine learning region detection texture analysis image classification medical images

A Hybrid Moth Flame Optimization Algorithm for Global Optimization

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Bionic Engineering 2022年第5期19卷 1522-1543页

作者： Saroj kumar Sahoo Apu kumar saha Department of Mathematics National Institute of TechnologyAgartalaTripura 799046India

The Moth Flame Optimization(MFO)algorithm shows decent performance results compared to other meta-heuristic algorithms for tackling non-linear constrained global optimization ***,it still suffers from obtaining quality solution and slow convergence *** the other hand,the Butterfly Optimization Algorithm(BOA)is a comparatively new algorithm which is gaining its popularity due to its simplicity,but it also suffers from poor exploitation *** this study,a novel hybrid algorithm,h-MFOBOA,is introduced,which integrates BOA with the MFO algorithm to overcome the shortcomings of both the algorithms and at the same time inherit their *** performance evaluation,the proposed h-MFOBOA algorithm is applied on 23 classical benchmark functions with varied *** tested results of the proposed algorithm are compared with some well-known traditional meta-heuristic algorithms as well as MFO *** rank test and Wilcoxon signed rank test are employed to measure the performance of the newly introduced algorithm *** computational complexity has been ***,the proposed algorithm has been applied to solve one constrained and one unconstrained real-life problems to examine its problem-solving capability of both type of *** comparison results of benchmark functions,statistical analysis,real-world problems confirm that the proposed h-MFOBOA algorithm provides superior results compared to the other conventional optimization algorithms.

关键词： Moth fame optimization algorithm Butterfly optimization algorithm Bio-inspired Benchmark functions Friedman rank test

Polynomial friction pendulum isolators(PFPIs)for seismic performance control of benchmark highway bridge

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Earthquake Engineering and Engineering Vibration 2017年第4期16卷 827-840页

作者： Arijit saha Pumachandra saha Sanjaya kumar Patro School of Civil Engineering KIlT UniversityBhubaneswarOdishaIndia

The seismic response of a benchmark highway bridge isolated with passive polynomial friction pendulum isolators （PFPIs） is investigated and subjected to six bidirectional ground motion records. The benchmark study is based on a lumped mass finite-element model of the 91/5 highway overcrossing located in Southern California. The PFPI system possesses two important parameters; one is horizontal flexibility and the other is energy absorbing capacity through friction. The evaluation criteria of the benchmark bridge arc analyzed considering two parameters, time period of the isolator and coefficient of friction of the isolation surface. The results of the numerical study are compared with those obtained from the traditional friction pendulum system （FPS）. Dual design performance of the PFPI system suppressed the displacement and acceleration response of the benchmark highway bridge. The dual design hysteresis loop of the PFPI system is the main advantage over the linear hysteresis loop of the FPS. The numerical result indicates that the seismic performance of the PFPI system is better than that of the traditional FPS isolated system. Further, it is observed that variations of the isolation time period and coefficient of friction of the FPS and PFPI systems have a significant effect on the peak responses of the benchmark highway bridge.

关键词： benchmark highway bridge seismic isolation FPS PFPI evaluation criteria

Constructing a biofunctionalized 3D-printed gelatin/sodium alginate/chitosan tri-polymer complex scaffold with improvised biological andmechanical properties for bone-tissue engineering

在线全文

学校读者我要写书评

暂无评论

Bio-Design and Manufacturing 2024年第1期7卷 57-73页

作者： amit kumar Singh Krishna Pramanik amit Biswas Centre of Excellence in Tissue Engineering Department of Biotechnology and Medical EngineeringNational Institute of TechnologyRourkela 769008India

Sodium alginate(SA)/chitosan(CH)polyelectrolyte scaffold is a suitable substrate for tissue-engineering *** present study deals with further improvement in the tensile strength and biological properties of this type of scaffold to make it a potential template for bone-tissue *** experimented with adding 0%–15%(volume fraction)gelatin(GE),a protein-based biopolymer known to promote cell adhesion,proliferation,and *** resulting tri-polymer complex was used as bioink to fabricate SA/CH/GEmatrices by three-dimensional(3D)*** studies using scanning electron microscopy revealed the microfibrous porous architecture of all the structures,which had a pore size range of 383–419μm.X-ray diffraction and Fourier-transform infrared spectroscopy analyses revealed the amorphous nature of the scaffold and the strong electrostatic interactions among the functional groups of the polymers,thereby forming polyelectrolyte complexes which were found to improve mechanical properties and structural *** scaffolds exhibited a desirable degradation rate,controlled swelling,and hydrophilic characteristics which are favorable for bone-tissue *** tensile strength improved from(386±15)to(693±15)kPa due to the increased stiffness of SA/CH scaffolds upon addition of *** enhanced protein adsorption and in vitro bioactivity(forming an apatite layer)confirmed the ability of the SA/CH/GE scaffold to offer higher cellular adhesion and a bone-like environment to cells during the process of tissue *** vitro biological evaluation including the MTT assay,confocal microscopy analysis,and alizarin red S assay showed a significant increase in cell attachment,cell viability,and cell proliferation,which further improved biomineralization over the scaffold *** addition,SA/CH containing 15%gelatin designated as SA/CH/GE15 showed superior performance to the other fabricated 3D structures,demonstrating its pote

关键词： Scaffold Biomaterial Sodium alginate Chitosan Gelatin 3D printing Tissue engineering

A Novel Variant of Moth Flame Optimizer for Higher Dimensional Optimization Problems

在线全文

学校读者我要写书评

暂无评论

Journal of Bionic Engineering 2023年第5期20卷 2389-2415页

作者： Saroj kumar Sahoo Sushmita Sharma Apu kumar saha Department of Mathematics National Institute of Technology AgartalaJiraniaTripura799046India

Moth Flame Optimization(MFO)is a nature-inspired optimization algorithm,based on the principle of navigation technique of moth toward *** to less parameter and easy implementation,MFO is used in various field to solve optimization ***,for the complex higher dimensional problems,MFO is unable to make a good trade-off between global and local *** overcome these drawbacks of MFO,in this work,an enhanced MFO,namely WF-MFO,is introduced to solve higher dimensional optimization *** a more optimal balance between global and local search,the original MFO’s exploration ability is improved by an exploration operator,namely,Weibull flight *** addition,the local optimal solutions have been avoided and the convergence speed has been increased using a Fibonacci search process-based technique that improves the quality of the solutions ***-nine benchmark functions of varying complexity with 1000 and 2000 dimensions have been utilized to verify the projected *** popular algorithms and MFO versions have been compared to the achieved *** addition,the robustness of the proposed WF-MFO method has been evaluated using the Friedman rank test,the Wilcoxon rank test,and convergence *** to other methods,the proposed WF-MFO algorithm provides higher quality solutions and converges more quickly,as shown by the ***,the proposed WF-MFO has been used to the solution of two engineering design issues,with striking *** improved performance of the proposed WF-MFO algorithm for addressing larger dimensional optimization problems is guaranteed by analyses of numerical data,statistical tests,and convergence performance.

关键词： Moth Flame Optimization(MFO)algorithm Bio-inspired algorithm Fibonacci search method Weibull distribution Higher dimensional functions

A Key Management Scheme Using(p,q)-Lucas Polynomials in Wireless Sensor Network

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

China Communications 2021年第11期18卷 210-228页

作者： amit kumar Gautam Rakesh kumar Madan Mohan Malaviya University of Technology Gorakhpur-273001India

Wireless Sensor Network(WSN)has witnessed an unpredictable growth for the last few *** has many applications in various critical sectors such as real-time monitoring of nuclear power plant,disaster management,environment,military area ***,due to the distributed and remote deployment of sensor nodes in such networks,they are highly vulnerable to different security *** sensor network always needs a proficient key management scheme to secure data because of resourceconstrained *** polynomial based key management schemes are simple,but the computational complexity is a big *** polynomials,Fibonacci polynomials,Chebychev polynomials are used in Engineering,Physics,Combinatory and Numerical analysis *** this paper,we propose a key management scheme using(p,q)-Lucas polynomial to improve the security of ***(p,q)-Lucas polynomial,p represents a random base number while q represents a substitute value of x in the *** value of p is unique,and q is different according to communication between *** of the proposed method on several parameters such as computational overhead,efficiency and storage cost have been performed and compared with existing related *** analysis demonstrates that the proposed(p,q)-Lucas polynomial based key management scheme outperforms over other polynomials in terms of the number of keys used and efficiency.

关键词： key management lucas polynomial WSN security pairwise key distribution key generation hierarchical key management