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Communications in Mathematical Biology and Neuroscience最新文献

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Face recognition for smart attendance system using deep learning 基于深度学习的人脸识别智能考勤系统
IF 1.3
Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI: 10.28919/cmbn/7872
Gede GALUH PUTRA WARMAN, P. Kusuma
{"title":"Face recognition for smart attendance system using deep learning","authors":"Gede GALUH PUTRA WARMAN, P. Kusuma","doi":"10.28919/cmbn/7872","DOIUrl":"https://doi.org/10.28919/cmbn/7872","url":null,"abstract":",","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69238725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Dynamic model of smokers and its sensitivity analysis 吸烟者动态模型及其敏感性分析
IF 1.3
Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI: 10.28919/cmbn/7947
Moch. Fandi Ansori, R. Herdiana
{"title":"Dynamic model of smokers and its sensitivity analysis","authors":"Moch. Fandi Ansori, R. Herdiana","doi":"10.28919/cmbn/7947","DOIUrl":"https://doi.org/10.28919/cmbn/7947","url":null,"abstract":". We study a smoking dynamical model with two types of smokers: beginners and heavy smokers. The qualitative behavior of the model, such as the stability of the equilibrium points and the basic reproduction number, is investigated. We show some simulations to validate the analytical findings, such as solution dynamics at different time scales and phase portraits of solutions with varying initial conditions. We also present a normalized sensitivity analysis of the basic reproduction number to discover which parameter has the most impact on smoking transmission, and perform a time-dependent sensitivity analysis of parameters to examine their impact on population dynamics.","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69241161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Monkeypox mathematical model with surveillance as control 以监测为控制的猴痘数学模型
IF 1.3
Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI: 10.28919/cmbn/7781
Uchenna Michael, L. Omenyi, Elebute Kafayat, E. Nwaeze, Offia Akachukwu, G. Ozoigbo, Monday Ekhator
{"title":"Monkeypox mathematical model with surveillance as control","authors":"Uchenna Michael, L. Omenyi, Elebute Kafayat, E. Nwaeze, Offia Akachukwu, G. Ozoigbo, Monday Ekhator","doi":"10.28919/cmbn/7781","DOIUrl":"https://doi.org/10.28919/cmbn/7781","url":null,"abstract":". A compartmental mathematical model of the transmission dynamics of the monkeypox virus (MPXV) was developed and analyzed. The model incorporates proper surveillance and contact tracing as effective controls. The equilibrium states of the model were obtained and analyzed both locally and globally. The effective reproduction number, R m was obtained and the sensitivity of the model parameters were studied using R m as the threshold of transmission. When the infection becomes endemic, R m (cid:117) 1 , the model exhibits a backward bifurcation but R m < 1 which means that the interventions tend to MPXV containment. Numerical simulations to bespeak our findings and discussions are provided. Our result shows that surveillance and contact tracing are effective for the containment of MPXV in the absence of a perfect vaccine.","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69238254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Global stability analysis and optimal prevention of COVID-19 spread in Ghana: A compartmental modelling perspective 全球稳定性分析和COVID-19在加纳传播的最佳预防:分区建模视角
IF 1.3
Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI: 10.28919/cmbn/7971
D. Otoo, Albert Gyan, Hawa Adusei, Daniel Gyamfi, Shaibu Osman
{"title":"Global stability analysis and optimal prevention of COVID-19 spread in Ghana: A compartmental modelling perspective","authors":"D. Otoo, Albert Gyan, Hawa Adusei, Daniel Gyamfi, Shaibu Osman","doi":"10.28919/cmbn/7971","DOIUrl":"https://doi.org/10.28919/cmbn/7971","url":null,"abstract":". COVID-19 exposed most of the world healthcare systems as many countries were compelled to request for international support. The disease spreads through contact with bodily fluids of the infected person. COVID-19 poses great threat to people in old age with the disease’s severity risks factor borne by them. In this study, we developed a Covid-19 that explains the transmission mechanism of the disease. Model’s equilibrium points were determined and local stability analyses of the model at equilibrium was carried out. The analyses showed that disease free-equilibrium is stable when R 0 < 1 and unstable when R 0 > 1. Global stability analyses were also performed for the models using analytic methods of Lyapunov function approach. The model is then extended to optimal control by adding time-dependent controls. The model was analysed qualitatively with Pontryagin’s Maximum principle. Numerical simulations were carried out for the model by designing an iterative scheme that used a fourth-order Runge Kutta method. The numerical analyses also determine the effective strategy in controlling the disease. Best control strategy is education and sensitisation of the public on the dangers and possible causes of the infection.","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69242449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optimal prevention of HIV-AIDS with emphasis on unprotected and unnatural canal activities: a deterministic modelling perspective 艾滋病毒/艾滋病的最佳预防，重点是无保护和非自然的运河活动:确定性模型的观点
IF 1.3
Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI: 10.28919/cmbn/7972
D. Otoo, Hawa Edusei, Albert Gyan, Daniel Gyamfi, Shaibu Osman
{"title":"Optimal prevention of HIV-AIDS with emphasis on unprotected and unnatural canal activities: a deterministic modelling perspective","authors":"D. Otoo, Hawa Edusei, Albert Gyan, Daniel Gyamfi, Shaibu Osman","doi":"10.28919/cmbn/7972","DOIUrl":"https://doi.org/10.28919/cmbn/7972","url":null,"abstract":". HIV accounts for more than thirty three million death and approximately thirty eight million infected cases since it’s inception. The disease unfolds in three stages; Chronic, Acute and fully blown AIDS. Adhering to preventive protocols such as use of condoms, preventing oneself from unprotected sex and limiting one’s sexual partners could help minimize the disease spread. In this study, a deterministic model for HIV-AIDS is formulated. The equilibrium points, local and global stability of the equilibrium points, and HIV reproductive rate were determined and interpreted. The model was extended to optimal control by simulating the optimality system. This was done by incorporating the use of condoms and education of susceptible population as intervention strategies. It was established that the best and most effective control strategy was optimal education and sensitisation of susceptible population.","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69242491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The insurance plan depends on the compartment model to the risk factors for the cost of health care for infectious diseases 保险计划依靠隔室模型来确定传染病医疗保健费用的风险因素
IF 1.3
Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI: 10.28919/cmbn/7948
Haposan Sirait, Nursanti Anggriani
{"title":"The insurance plan depends on the compartment model to the risk factors for the cost of health care for infectious diseases","authors":"Haposan Sirait, Nursanti Anggriani","doi":"10.28919/cmbn/7948","DOIUrl":"https://doi.org/10.28919/cmbn/7948","url":null,"abstract":",","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69242027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SNP distributed representation using entity embedding 使用实体嵌入的SNP分布式表示
IF 1.3
Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI: 10.28919/cmbn/7962
Francisco Calvin, Arnel Ferano, Jonathan Christian Setyono, Ardivo Virsa Siswanto, N. Dominic, B. Pardamean
{"title":"SNP distributed representation using entity embedding","authors":"Francisco Calvin, Arnel Ferano, Jonathan Christian Setyono, Ardivo Virsa Siswanto, N. Dominic, B. Pardamean","doi":"10.28919/cmbn/7962","DOIUrl":"https://doi.org/10.28919/cmbn/7962","url":null,"abstract":". A single Nucleotide Polymorphism (SNP) array is the largest variation of genetic information to detect specific traits in organisms. SNP is located in a specific locus of DNA sequences. To the day this study was conducted, the representation of SNPs for machine learning models is still questionable. Based on the previous works, we proposed a comparative study of distributed representation methods against SNPs data. This study used 1,232 SNPs from the genomic data of 687 Indonesian rice samples collected from four distinct rice fields. The SNP data used was converted into an encoded format. Entity embedding (Embedder) and several comparative models, i.e., Node2Vec, Struc2Vec, and LINE, were chosen to predict the rice yield of the SNP data. The entity embedding using Embedder outperformed the comparative methods used in this study, namely Node2Vec, Struc2Vec, and LINE with the best R2 and MSE scores of 0.9368 and 0.2425 respectively.","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69242260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A comparative analysis of convolutional neural networks approaches for phytoparasitic nematode identification 卷积神经网络方法在植物寄生线虫识别中的比较分析
IF 1.3
Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI: 10.28919/cmbn/7993
Nabilah Shabrina, S. Indarti, Ryukin Aranta Lika, Rina Maharani
{"title":"A comparative analysis of convolutional neural networks approaches for phytoparasitic nematode identification","authors":"Nabilah Shabrina, S. Indarti, Ryukin Aranta Lika, Rina Maharani","doi":"10.28919/cmbn/7993","DOIUrl":"https://doi.org/10.28919/cmbn/7993","url":null,"abstract":",","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69243943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Analyzing the impact of healthcare facilities on the spread of COVID-19: A spatial autoregressive exogenous model approach 医疗设施对COVID-19传播的影响分析:一种空间自回归外生模型方法
Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI: 10.28919/cmbn/8087
{"title":"Analyzing the impact of healthcare facilities on the spread of COVID-19: A spatial autoregressive exogenous model approach","authors":"","doi":"10.28919/cmbn/8087","DOIUrl":"https://doi.org/10.28919/cmbn/8087","url":null,"abstract":": This paper investigates the relationship between healthcare facilities and the spread of COVID-19 in Indonesia using a spatial autoregressive exogenous (SAR-X) model. The study aims to understand how the availability and accessibility of healthcare facilities influence the transmission dynamics of the virus at a regional level. The analysis utilizes a comprehensive dataset on COVID-19 cases, healthcare. The findings of this study contribute to a better understanding of the role of healthcare facilities in mitigating the spread of COVID-19 in Indonesia and can be a policy decision to strengthen healthcare infrastructure and resource allocation, facility locations, and other relevant variables. The SAR-X model allows for the incorporation of exogenous factors, such as healthcare capacity, population density, and mobility patterns, in examining their impact on the spatial patterns of COVID-19 transmission.","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135400734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The stability of Petri net model for the COVID-19 patient service system COVID-19患者服务系统Petri网模型的稳定性
Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI: 10.28919/cmbn/8130
{"title":"The stability of Petri net model for the COVID-19 patient service system","authors":"","doi":"10.28919/cmbn/8130","DOIUrl":"https://doi.org/10.28919/cmbn/8130","url":null,"abstract":"Coronavirus Disease 2019 (COVID-19) is an infectious disease caused by SARS-CoV-2 and designated a pandemic by the World Health Organization (WHO) on March 11, 2020. As cases increase, the number of patients requiring services is more than the available staff and facilities, in queues resulting in longer patient waiting times. One way to analyze the queuing system is to model using max-plus algebra. Before forming the Max-Plus Algebra model, Petri Net was built, which is a graphical and mathematical modeling tool for analyzing a system, so in this study, the results obtained in the form of a model Petri Net and max-plus algebra in the treatment of COVID-19 patients, where is the service flow patients used are limited to referral patient services with positive and suspected cases Patients Under Surveillance (PDP) COVID-19.","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135497508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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