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Effect of random movement and cooperative hunting in the prey-predator system:A dynamical approach

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International Journal of Biomathematics 2024年第3期17卷 211-240页

作者： Shivam Teekam singh Mukesh kumar Department of Mathematics Graphic Era Deemed to be University 566/6 Bell RoadSociety AreaClenent Town DehradunUttarakhand 248002India Department of Computer Science and Engineering Graphic Era Deemed to be University 566/6 Bell RoadSociety AreaClement Town DehradunUttarakhand 248002India

Self-diffusion prerequisite is obtained as the spreading approach of biological *** hunting is a common behavior in predator populations that promotes predation and the coexistence of the prey-predator *** the other side,the Allee effect among prey may cause the system to become *** this paper,a difusive prey predator system with cooperative hunting and the weak Allee effect in prey populations is *** linear stability and Hopf-bifurcation analysis had been used to examine the system's *** the spatial stability of the system,the conditions for Turing instability have been *** multiple-scale analysis has been used to derive the amplitude equations of the *** stability analysis of these amplitude equations leads to the formation of Turing ***,numerical simulations are used to analyze spatial patterns forming in 1-D and *** studies indicate that the model can generate a complex pattern structure and that self-diffusion has a drastic impacton species distribution.

关键词： Prey predator system hunting cooperation Allee effect Hopf-bifurcation diffusive instability amplitudeequation

Recombinant vaccines:Current updates and future prospects

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Asian Pacific Journal of Tropical Medicine 2024年第8期17卷 338-350页

作者： Vivek kumar Anuj Verma Riddhi singh Priyanshi Garg Santosh kumar Sharma Himanshu Narayan singh Santosh kumar Mishra Sanjay kumar Department of Allied Medical Sciences School of Allied Medical SciencesLovely Professional UniversityPhagwaraPunjabIndia Bioengineering Division of Department of Bioscience and Biomedical EngineeringIndian Institute of Technology BhilaiChhattisgarhIndia Department of Biotechnology IMS Engineering CollegeGhaziabadU.P.India Department of Chemistry and Biochemistry University of WindsorOntario N9B3P4Canada Biological and Biocomputational Laboratory Department of Life SciencesSharda School of Basic Sciences and ResearchSharda UniversityGreater NoidaU.P.India Department of System Biology Columbia University Irving Medical CenterNew YorkNY 10032USA Department of Life Sciences Sharda School of Basic Sciences and ResearchSharda UniversityGreater NoidaU.P.India

Recombinant technology-based vaccines have emerged as a highly effective way to prevent a wide range of *** technology improved vaccine manufacturing,rendering it more efficient and *** vaccines have multiple advantages compared to conventional *** pandemic has heightened awareness of the advantages of these vaccine technologies;trust and acceptance of these vaccines are steadily growing *** work offers an overview of the prospects and advantages associated with recombinant ***,it discusses some of the challenges likely to arise in the *** ability to target diverse pathogen classes underscores their contributions to preventing previously untreatable diseases(especially vector-borne and emerging diseases)and hurdles faced throughout the vaccine development process,especially in enhancing the effectiveness of these ***,their compatibility with emerging vaccination platforms of the future like virus-like particles and CRISPR/Cas9 for the production of next-generation vaccines may offer many *** review also reviewed the hurdles faced throughout the vaccine development process,especially in enhancing the effectiveness of these vaccines against vector-borne diseases,emerging diseases,and untreatable diseases with high mortality rates like AIDS as well as cancer.

关键词： Malaria Dengue Emerging diseases Immunoinformatics Virus-like particles CRISPR-Cas9

Incense smoke(IS)inhalation exposure system:Physicochemical characterization,IS particle deposition and clearance in human airway using MPPD model

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Particuology 2024年第4期87卷 271-285页

作者： Vyas kumar Hafsa Hashmi Anshita Nasreen Ghazi Ansari Jyotsna singh Inhalation Toxicology Facility Regulatory Toxicology GroupCSR-Indian Institute of Toxicology ResearchLucknow22001UPIndi Academy of Scientific and Innovative Research(AcsSIR) Ghaziabad201002UPIndia Analytical Chemistry Regulatory Toxicology GroupCSIR-Indian Institute of Toxicology ResearchLucknow226001UPIndia

Incense smoke(IS)is source of indoor air pollution and key risk for diverse human *** in-formation is available regarding controlled IS rodent inhalation exposure system and IS particulate matter(PM)deposition in human *** aimed to demonstrate stable ISPM physicochemical parameters of 10 incense products inside the customized whole body inhalation exposure chamber(without animal)connected to smoke generation unit via aerosol mixing *** analyzed for size segregated PM emission,ISPM in vitro aerodynamics(MMAD and GSD determination),fine and ultrafine particle's SEM,SEM-EDX and PAH *** real life exposure scenario by utilizing MMAD,GSD and PM concentration after Tier 1 exposure assessment as key input parameters,ISPM dosimetry in infant(3 months)and adult(21 years male and female)human airways was calculated using multiple-path particle dosimetry(MPPD 3.04)*** median aerodynamic diameter(MMAD)and geo-metric standard deviation(GSD)ranged between 0.55 and 2.10μm and 1.22 to 1.77(polydisperse)***1.0 and PM0.1 showed multiple morphology and presence of heavy and trace *** like acenaphthylene,anthracene,fluorene,naphthalene and phenanthrene were detected(0.84-143.17μg/g).MPPD results showed higher ISPM deposition in pulmonary region and lowest in trachea bronchial *** deposition in tissue was higher in lower,peripheral lung as compared to upper and central lung *** body inhalation exposure system showed stable IS atmosphere(physi-cochemical parameters)indicating the device suitability in future inhalation *** ISPM deposition fraction and clearance data showed deep lung penetrating and retention behavior with higher risk in infant followed by female and then *** modeled particle deposition and clearance data may be useful in risk assessment analysis of IS.

关键词： Inhalation Incense smoke Multiple-path particle dosimetry(MPPD) Particle deposition Particulate matter(PM) Mass median aerodynamic diameter (MMAD) Human airway

Peroxisome proliferator-activated receptor agonists:A new hope towards the management of alcoholic liver disease

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World Journal of Gastroenterology 2024年第35期30卷 3965-3971页

作者： Siva Sundara kumar Durairajan Abhay kumar singh Ashok Iyaswamy Department of Microbiology School of Life SciencesCentral University of Tamil NaduTiruvarur 610005India School of Biomedical Sciences Li Ka Shing Faculty of MedicineUniversity of Hong KongHong Kong 999077China School of Chinese Medicine Hong Kong Baptist UniversityHong Kong 999077China Department of Biochemistry Karpagam Academy of Higher EducationCoimbatore 641021India

In this editorial,we examine a paper by Koizumi et al,on the role of peroxisome proliferator-activated receptor(PPAR)agonists in alcoholic liver disease(ALD).The study determined whether elafibranor protected the intestinal barrier and reduced liver fibrosis in a mouse model of *** study also underlines the role of PPARs in intestinal barrier function and lipid homeostasis,which are both affected by *** therapies are necessary for ALD because it is a critical health issue that affects people *** editorial analyzes the possibility of PPAR agonists as treatments for *** key factors of inflammation and metabolism,PPARs offer multiple methods for managing the complex etiology of *** assess the abilities of PPARα,PPARγ,and PPARβ/δagonists to prevent steatosis,inflammation,and fibrosis due to liver *** research carried out in preclinical and clinical settings has shown that PPAR agonists can reduce the severity of liver *** editorial discusses the data analyzed and the obstacles,advantages,and mechanisms of action of PPAR agonists for *** research is needed to understand the efficacy,safety,and mechanisms of PPAR agonists for treating ALD.

关键词： Alcoholic liver disease Peroxisome proliferator-activated receptors Peroxisome proliferator-activated receptors agonists Liver fibrosis Inflammation Metabolic regulation Hepatoprotection

Hopf bifurcation in a delayed prey-predator model with prey refuge involving fear effect

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International Journal of Biomathematics 2024年第5期17卷 1-32页

作者： Ankit Parwaliya Anuraj singh Ajay kumar Department of Applied Sciences ABV-Indian Institute of Information Technology and ManagementGwalior 474015India

This work investigates a prey-predator model featuring a Holling-type II functional response,in which the fear effect of predation on the prey species,as well as prey refuge,are ***,the model assumes that the growth rate of the prey population decreases as a result of the fear of ***,the detection of the predator by the prey species is subject to a delay known as the fear response delay,which is incorporated into the *** paper establishes the preliminary conditions for the solution of the delayed model,including positivity,boundedness and *** paper discusses the existence and stability of equilibrium points in the *** particular,the paper considers the discrete delay as a bifurcation parameter,demonstrating that the system undergoes Hopf bifurcation at a critical value of the delay *** direction and stability of periodic solutions are determined using central manifold and normal form ***,the global stability of the model is established at axial and positive equilibrium *** extensive numerical simulation is presented to validate the analytical findings,including the continuation of the equilibrium branch for positive equilibrium points.

关键词： Hopf bifurcation fear effect prey refuge periodic solutions time delay branch off

Genetic variability and trait association analysis in linseed(Linum usitatissimum L.)for yield and related traits

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Oil Crop Science 2024年第3期9卷 151-159页

作者： Sandeep kumar Yadav Neha singh Hemant kumar Yadav CSIR-National Botanical Research Institute Rana Pratap MargLucknow226001UPIndia Academy of Scientific and Innovative Research(AcSIR) Ghaziabad201002India State Planning Commission LucknowUPIndia

Diversity information mining about a crop for different attributes is an essential step for effective breeding *** present investigation evaluates the quantum of genetic variability and determines the relationship among the important agro-economic traits based on two years of phenotypic data of 210 accessions of *** traits,capsule weight per plant,capsule per plant,husk weight per plant,and seed weight per plant exhibited comparatively higher genetic coefficient of variation(GCV)and phenotypic coefficient of variation(PCV).In contrast,oil content and seed per capsule exhibited a lower *** high magnitude of broad sense heritability was observed for all traits except seeds per capsule and husk weight per *** trait,capsules per plant,plant height,and days to 50%flowering showed high genetic advance coupled with high *** cluster analysis grouped 210 accessions into six distinct *** of 210,144(68.57%)accessions were grouped into three clusters(I,II,and III),in which cluster-III was the largest,containing 64 accessions followed by cluster II and *** highest inter-cluster distance was observed between clusters-I and V(127.85),while the lowest was between clusters-II and IV(27.09).The positive correlation of capsule weight per plant with the seed weight per plant and a negative correlation with the days to 50%flowering indicates that high yielding linseed varieties with early flowering/maturity could be developed through direct and indirect ***,seed yield and oil content could be enhanced together as indicated by ghe positive association among these two important *** this study,high yielding accessions with moderate to high oil content such as GP36,GP31,GP14,GP54,GP26,GP24,GP34,GP21,GP37 and GP27 and early flowering(less than 70 days)accessions such as GP2,GP26,GP27,CG33,CG44,CG42,CG132,and CG31 identified as potential genetic materials that could be exploited for developing early matu

关键词： Linseed Genetic variability Heritability Genetic advance PCA Dendrogram

An Improved Lung Cancer Segmentation Based on Nature-Inspired Optimization Approaches

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1051-1075页

作者： Shazia Shamas Surya Narayan Panda Ishu Sharma Kalpna Guleria aman singh Ahmad Ali AlZubi Mallak Ahmad AlZubi Chitkara University Institute of Engineering and Technology Chitkara UniversityRajpuraPunjab140401India Higher Polytechnic School Universidad Europea del AtlánticoC/Isabel Torres 21Santander39011Spain Department of Engineering Universidad Internacional IberoamericanaAreciboPR00613USA Uttaranchal Institute of Technology Uttaranchal UniversityDehradunUttarakhand248007India Computer Science Department King Saud UniversityRiyadhSaudi Arabia Faculty of Medicine Jordan University of Science and TechnologyIrbidJordan

The distinction and precise identification of tumor nodules are crucial for timely lung cancer diagnosis andplanning intervention. This research work addresses the major issues pertaining to the field of medical imageprocessing while focusing on lung cancer Computed Tomography (CT) images. In this context, the paper proposesan improved lung cancer segmentation technique based on the strengths of nature-inspired approaches. Thebetter resolution of CT is exploited to distinguish healthy subjects from those who have lung cancer. In thisprocess, the visual challenges of the K-means are addressed with the integration of four nature-inspired swarmintelligent techniques. The techniques experimented in this paper are K-means with Artificial Bee Colony (ABC),K-means with Cuckoo Search Algorithm (CSA), K-means with Particle Swarm Optimization (PSO), and Kmeanswith Firefly Algorithm (FFA). The testing and evaluation are performed on Early Lung Cancer ActionProgram (ELCAP) database. The simulation analysis is performed using lung cancer images set against metrics:precision, sensitivity, specificity, f-measure, accuracy,Matthews Correlation Coefficient (MCC), Jaccard, and *** detailed evaluation shows that the K-means with Cuckoo Search Algorithm (CSA) significantly improved thequality of lung cancer segmentation in comparison to the other optimization approaches utilized for lung cancerimages. The results exhibit that the proposed approach (K-means with CSA) achieves precision, sensitivity, and Fmeasureof 0.942, 0.964, and 0.953, respectively, and an average accuracy of 93%. The experimental results prove thatK-meanswithABC,K-meanswith PSO,K-meanswith FFA, andK-meanswithCSAhave achieved an improvementof 10.8%, 13.38%, 13.93%, and 15.7%, respectively, for accuracy measure in comparison to K-means segmentationfor lung cancer images. Further, it is highlighted that the proposed K-means with CSA have achieved a significantimprovement in accuracy, hence can be utilized by resea

关键词： Lesion lung cancer segmentation medical imaging meta-heuristic Artificial Bee Colony(ABC) Cuckoo Search Algorithm(CSA) Particle Swarm Optimization(PSO) Firefly Algorithm(FFA) segmentation

Biorenewable materials for water remediation: The central role of cellulose in achieving sustainability

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Journal of Bioresources and Bioproducts 2024年第3期9卷 253-282页

作者： Kirti Mishra Samarjeet singh Siwal Thandiwe Sithole Nirankar singh Phil Hart Vijay kumar Thakur Department of Chemistry M.M.Engineering CollegeMaharishi Markandeshwar(Deemed to be University)Haryana 133207India Department of Chemical Engineering University of JohannesburgDoornfontein 2088South Africa Biorefining and Advanced Materials Research Center Scotland’s Rural CollegeEdinburgh EH93JGUnited Kingdom Renewable and Sustainable Energy Research Centre Technology Innovation InstituteAbu Dhabi 9639United Arab Emirates School of Engineering University of Petroleum&Energy StudiesDehradun 248007India

As the population increases and manufacturing grows,greenhouse gas and other harmful emissions *** with chemicals such as dyes,pesticides,pharmaceuticals,oil,heavy metals or radionuclides,wastewater purification has become an urgent *** technologies exist that can remove these contaminants from wastewater sources,but they often demand high energy and/or high cost,and in some cases produce contaminant laden sludge that requires safe *** need for methods which are less capital intensive,less operationally costly and more environmentally friendly is ***-based materials have emerged as promising candidates for wastewater treatment due to their renewability,low cost,biodegradability,hydrophilicity,and antimicrobial *** this review article,we focussed on developing sustainable and biodegradable cellulose-based materials for wastewater *** article deals with cellulose-based materials’scope and their conversion into valuable products like hydrogel,aerogel,cellulose composites,and *** cellulose-based materials have no harmful environmental impact and are *** modified cellulose-based materials applying as membrane,adsorbent,sorbent,and beads to purify the wastewater were ***,the challenges and future prospects of cellulose-based materials for wastewater treatment were considered,emphasizing their potential to be sustainable and eco-friendly alternatives to traditional materials used in wastewater treatment.

关键词： Cellulose Wastewater treatment Hydrogel Nanocrystal Cellulose membrane

An Effective Hybrid Model of ELM and Enhanced GWO for Estimating Compressive Strength of Metakaolin-Contained Cemented Materials

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1521-1555页

作者： Abidhan Bardhan Raushan kumar singh Mohammed Alatiyyah Sulaiman Abdullah Alateyah Department of Civil Engineering National Institute of Technology PatnaPatnaIndia Department of Computer Engineering and Applications GLA UniversityMathuraIndia Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam Bin Abdulaziz UniversityAl-KharjSaudi Arabia Department of Computer Science College of Science and ArtsQassim UniversityUnaizahSaudi Arabia

This research proposes a highly effective soft computing paradigm for estimating the compressive strength(CS)of metakaolin-contained cemented *** proposed approach is a combination of an enhanced grey wolf optimizer(EGWO)and an extreme learning machine(ELM).EGWO is an augmented form of the classic grey wolf optimizer(GWO).Compared to standard GWO,EGWO has a better hunting mechanism and produces an optimal *** EGWO was used to optimize the ELM structure and a hybrid model,ELM-EGWO,was *** train and validate the proposed ELM-EGWO model,a sum of 361 experimental results featuring five influencing factors was *** on sensitivity analysis,three distinct cases of influencing parameters were considered to investigate the effect of influencing factors on predictive *** consequences show that the constructed ELM-EGWO achieved the most accurate precision in both training(RMSE=0.0959)and testing(RMSE=0.0912)*** outcomes of the ELM-EGWO are significantly superior to those of deep neural networks(DNN),k-nearest neighbors(KNN),long short-term memory(LSTM),and other hybrid ELMs constructed with GWO,particle swarm optimization(PSO),harris hawks optimization(HHO),salp swarm algorithm(SSA),marine predators algorithm(MPA),and colony predation algorithm(CPA).The overall results demonstrate that the newly suggested ELM-EGWO has the potential to estimate the CS of metakaolin-contained cemented materials with a high degree of precision and robustness.

关键词： Metakaolin-contained cemented materials compressive strength extreme learning machine grey wolf optimizer swarm intelligence uncertainty analysis artificial intelligence