H. H. Muljo, B. Pardamean, G. N. Elwirehardja, A. A. Hidayat, D. Sudigyo, R. Rahutomo, T. W. Cenggoro
. Abstract. Ever since the COVID-19 outbreak, numerous researchers have attempted to train accurate Deep Learning (DL) models, especially Convolutional Neural Networks (CNN), to assist medical personnel in diagnosing COVID-19 infections from Chest X-Ray (CXR) images. However, data imbalance and small dataset sizes have been an issue in training DL models for medical image classification tasks. On the other hand, most researchers focused on complex novel methods instead and few explored this problem. In this research, we demonstrated how Self-Supervised Learning (SSL) can assist DL models during pre-training
{"title":"Handling severe data imbalance in chest X-Ray image classification with transfer learning using SwAV self-supervised pre-training","authors":"H. H. Muljo, B. Pardamean, G. N. Elwirehardja, A. A. Hidayat, D. Sudigyo, R. Rahutomo, T. W. Cenggoro","doi":"10.28919/cmbn/7526","DOIUrl":"https://doi.org/10.28919/cmbn/7526","url":null,"abstract":". Abstract. Ever since the COVID-19 outbreak, numerous researchers have attempted to train accurate Deep Learning (DL) models, especially Convolutional Neural Networks (CNN), to assist medical personnel in diagnosing COVID-19 infections from Chest X-Ray (CXR) images. However, data imbalance and small dataset sizes have been an issue in training DL models for medical image classification tasks. On the other hand, most researchers focused on complex novel methods instead and few explored this problem. In this research, we demonstrated how Self-Supervised Learning (SSL) can assist DL models during pre-training","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69234139","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}
C. Wirdiastuti, U. Syafitri, M. Sumertajaya, E. Rohaeti, M. Rafi
: High-dimensional data has more variables than observations (p>>n). In this case, modeling with regression analysis becomes ineffective because it will violate the multicollinearity assumption. The least absolute shrinkage and selection operator (LASSO) can handle high-dimensional data and multicollinearity because LASSO works by reducing the parameters of variables with significant effects and selecting variables with minor effects. In its application, several variables have the same characteristics. Reducing and selecting variables in the form of groups can solve the problem so that the group LASSO can be used as a solution. This study used data on antioxidant activity in C. asiatica. It is a plant that contains antioxidants. The spectroscopic technique can find important information about antioxidants, namely the Fourier transformed infrared spectrophotometer (FTIR). FTIR is a spectroscopic technique based on molecular vibrations subjected to infrared so that it can characterize molecules with functional groups. FTIR data has large dimensions and multicollinearity. This study has 1866 explanatory
{"title":"Application of lasso for identification of functional groups with significant contributions to antioxidant activities of Centella asiatica","authors":"C. Wirdiastuti, U. Syafitri, M. Sumertajaya, E. Rohaeti, M. Rafi","doi":"10.28919/cmbn/7843","DOIUrl":"https://doi.org/10.28919/cmbn/7843","url":null,"abstract":": High-dimensional data has more variables than observations (p>>n). In this case, modeling with regression analysis becomes ineffective because it will violate the multicollinearity assumption. The least absolute shrinkage and selection operator (LASSO) can handle high-dimensional data and multicollinearity because LASSO works by reducing the parameters of variables with significant effects and selecting variables with minor effects. In its application, several variables have the same characteristics. Reducing and selecting variables in the form of groups can solve the problem so that the group LASSO can be used as a solution. This study used data on antioxidant activity in C. asiatica. It is a plant that contains antioxidants. The spectroscopic technique can find important information about antioxidants, namely the Fourier transformed infrared spectrophotometer (FTIR). FTIR is a spectroscopic technique based on molecular vibrations subjected to infrared so that it can characterize molecules with functional groups. FTIR data has large dimensions and multicollinearity. This study has 1866 explanatory","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69238800","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}
R. M. Yaseen, Ahmed A. Mohsen, H. Al-Husseiny, K. Hattaf
. The present research is concerned with studying the media coverage delay impact and vaccine impact to control outbreaks the infectious disease in the population, we suggested that our mathematical modeling divide the population into three classes: susceptible persons S(t) , vaccinated person V(t) and infected persons I(t) . The susceptible individuals are also divided due to media programs into awareness and unawareness of disease danger and its mode of transmission. We studied the influence of time delay in response to the media program on awareness of the epidemic. We first discussed the existence of the equilibrium points of the system and obtain sufficient conditions for the local asymptotic stability of all equilibrium points. Further, the existence of Hopf bifurcation is shown near endemic equilibrium. It is interesting to note that there exists at least one limit cycle around the unstable endemic equilibrium. In particular, sufficient conditions for a unique stable limit
{"title":"Stability and Hopf bifurcation of an epidemiological model with effect of delay the awareness programs and vaccination: analysis and simulation","authors":"R. M. Yaseen, Ahmed A. Mohsen, H. Al-Husseiny, K. Hattaf","doi":"10.28919/cmbn/7910","DOIUrl":"https://doi.org/10.28919/cmbn/7910","url":null,"abstract":". The present research is concerned with studying the media coverage delay impact and vaccine impact to control outbreaks the infectious disease in the population, we suggested that our mathematical modeling divide the population into three classes: susceptible persons S(t) , vaccinated person V(t) and infected persons I(t) . The susceptible individuals are also divided due to media programs into awareness and unawareness of disease danger and its mode of transmission. We studied the influence of time delay in response to the media program on awareness of the epidemic. We first discussed the existence of the equilibrium points of the system and obtain sufficient conditions for the local asymptotic stability of all equilibrium points. Further, the existence of Hopf bifurcation is shown near endemic equilibrium. It is interesting to note that there exists at least one limit cycle around the unstable endemic equilibrium. In particular, sufficient conditions for a unique stable limit","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69239339","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}
: Dyspepsia is a significant public health issue that affects the entire world population. In this work, we formulate and analyze a deterministic model for the population dynamics of Gut bacteria in the presence of antibiotics and Probiotic supplements. All the possible equilibria and their local stability are obtained. The global stability around the positive equilibrium point is established. Numerical simulations back up our analytical findings and show the temporal dynamics of gut microorganisms
{"title":"The role of antibiotics and probiotics supplements on the stability of gut flora bacteria interactions","authors":"mustafa ahmed, S. Jawad, 𝑞 𝑑, 𝑏, 𝑞","doi":"10.28919/cmbn/7879","DOIUrl":"https://doi.org/10.28919/cmbn/7879","url":null,"abstract":": Dyspepsia is a significant public health issue that affects the entire world population. In this work, we formulate and analyze a deterministic model for the population dynamics of Gut bacteria in the presence of antibiotics and Probiotic supplements. All the possible equilibria and their local stability are obtained. The global stability around the positive equilibrium point is established. Numerical simulations back up our analytical findings and show the temporal dynamics of gut microorganisms","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69239462","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}
S. E. Fadugba, V. J. Shaalini, M. Oluwayemi, M. Kekana
. Abstract: This paper proposes the Trigonometric Exponential Single-Step Method (TESSM) for the numerical solution of HIV-1 infection model by using an interpolating function that consists of both trigonometric and exponential functions. The delay argument was approximated using Lagrange interpolation. The analysis of TESSM such as order of accuracy, convergence, consistency and stability was presented. The applicability of TESSM was tested on the HIV-1 infection model. The results generated via TESSM were also presented
{"title":"Applicability and analysis of trigonometric - exponential single-step method for the numerical solution of HIV-1 model","authors":"S. E. Fadugba, V. J. Shaalini, M. Oluwayemi, M. Kekana","doi":"10.28919/cmbn/7923","DOIUrl":"https://doi.org/10.28919/cmbn/7923","url":null,"abstract":". Abstract: This paper proposes the Trigonometric Exponential Single-Step Method (TESSM) for the numerical solution of HIV-1 infection model by using an interpolating function that consists of both trigonometric and exponential functions. The delay argument was approximated using Lagrange interpolation. The analysis of TESSM such as order of accuracy, convergence, consistency and stability was presented. The applicability of TESSM was tested on the HIV-1 infection model. The results generated via TESSM were also presented","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69239822","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}
R. Rulaningtyas, Aldaffan Sheva, Ghifari Wydiandhika, O. Rahma, K. Ain, Amilia Aminudin, Nathania Putri, K. Chellappan
: Hypertension prevalence is known to increase with urbanization and ageing population. The combination of urbanization and ageing can have a compounding effect on the prevalence of hypertension. As populations age in urban areas, there is a higher risk of developing hypertension due to both lifestyle factors and physiological changes. This has significant public health implications, as hypertension is a major risk factor for cardiovascular disease, stroke, and kidney disease. The aim of this study is establishing an operator independent screening technique with reliable accuracy in classifying hypertensive subjects using finger photoplethysmogram signal. In achieving the targeted
{"title":"Enhanced hypertension classifier based on photoplethysmogram signal using statistical analysis and extreme learning machine method","authors":"R. Rulaningtyas, Aldaffan Sheva, Ghifari Wydiandhika, O. Rahma, K. Ain, Amilia Aminudin, Nathania Putri, K. Chellappan","doi":"10.28919/cmbn/7929","DOIUrl":"https://doi.org/10.28919/cmbn/7929","url":null,"abstract":": Hypertension prevalence is known to increase with urbanization and ageing population. The combination of urbanization and ageing can have a compounding effect on the prevalence of hypertension. As populations age in urban areas, there is a higher risk of developing hypertension due to both lifestyle factors and physiological changes. This has significant public health implications, as hypertension is a major risk factor for cardiovascular disease, stroke, and kidney disease. The aim of this study is establishing an operator independent screening technique with reliable accuracy in classifying hypertensive subjects using finger photoplethysmogram signal. In achieving the targeted","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69239972","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}
. A novel mathematical model is constructed in this article to understand the impact of active case findings and treatment to suppress the spread of lymphatic filariasis. The model is constructed as a nine-dimensional system of ordinary differential equations which considering the effect of misdiagnosis in the screening process. The analytical study was carried out to analyze the existence and stability of the equilibrium points, the control reproduction number, and the nonexistence of backward bifurcations in the model. Our analytical results show that the condition of free-filariasis will always be established if the control reproduction number is less than one. On the other hand, we always have a unique and stable endemic equilibrium if and only if the control reproduction number is greater than one. Our sensitivity analysis has shown that a combination of active case detection, duration, and successful probability of treatment could effectively reduce the intensity of lymphatic filariasis spread in the population.
{"title":"Impact of screening, treatment, and misdiagnose on lymphatic filariasis transmission: a mathematical model","authors":"Iffatricia Haura, Vania Febiriana, Putri Zahra Adisaputri, Dipo Kamalia, Aldila","doi":"10.28919/cmbn/7983","DOIUrl":"https://doi.org/10.28919/cmbn/7983","url":null,"abstract":". A novel mathematical model is constructed in this article to understand the impact of active case findings and treatment to suppress the spread of lymphatic filariasis. The model is constructed as a nine-dimensional system of ordinary differential equations which considering the effect of misdiagnosis in the screening process. The analytical study was carried out to analyze the existence and stability of the equilibrium points, the control reproduction number, and the nonexistence of backward bifurcations in the model. Our analytical results show that the condition of free-filariasis will always be established if the control reproduction number is less than one. On the other hand, we always have a unique and stable endemic equilibrium if and only if the control reproduction number is greater than one. Our sensitivity analysis has shown that a combination of active case detection, duration, and successful probability of treatment could effectively reduce the intensity of lymphatic filariasis spread in the population.","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69243325","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}
: In the present paper, an eco-epidemiological model consisting of diseased prey consumed by a predator with fear cost, and hunting cooperation property is formulated and studied. It is assumed that the predator doesn’t distinguish between the healthy prey and sick prey and hence it consumed both. The solution’s properties such as existence, uniqueness, positivity, and bounded are discussed. The existence and stability conditions of all possible equilibrium points are studied. The persistence requirements of the proposed system are established. The bifurcation analysis near the non-hyperbolic equilibrium points is investigated. Numerically, some simulations are carried out to validate the main findings and obtain the critical values of the bifurcation parameters, if any. It is obtained that the existence of fear controls the disease outbreak and the system's persistence. While in the case of a rising hunting cooperation rate, the induced fear may control the outbreak of disease.
{"title":"The dynamic of an eco-epidemiological model involving fear and hunting cooperation","authors":"Nabaa Hassain, Raid Kamel Fakhry, Naji, √𝐴, 𝐴 −","doi":"10.28919/cmbn/7998","DOIUrl":"https://doi.org/10.28919/cmbn/7998","url":null,"abstract":": In the present paper, an eco-epidemiological model consisting of diseased prey consumed by a predator with fear cost, and hunting cooperation property is formulated and studied. It is assumed that the predator doesn’t distinguish between the healthy prey and sick prey and hence it consumed both. The solution’s properties such as existence, uniqueness, positivity, and bounded are discussed. The existence and stability conditions of all possible equilibrium points are studied. The persistence requirements of the proposed system are established. The bifurcation analysis near the non-hyperbolic equilibrium points is investigated. Numerically, some simulations are carried out to validate the main findings and obtain the critical values of the bifurcation parameters, if any. It is obtained that the existence of fear controls the disease outbreak and the system's persistence. While in the case of a rising hunting cooperation rate, the induced fear may control the outbreak of disease.","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69243752","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}
Abdelbar EL Mansouri, I. Smouni, B. Khajji, A. Labzai, M. Belam, Y. Tidli
. The obesity epidemic is associated with several cardiovascular risk factors, including diabetes mellitus, dyslipidemia, and hypertension. Insulin resistance is believed to play a crucial role in the emergence of various health problems. Apart from genetic factors, obesity, particularly abdominal obesity, is a major contributor to the onset of diabetes. In this study, we present a mathematical model that captures the interplay between the prevalence of obesity and diabetes, and we investigate the adverse effects of excess weight on the well-being of diabetic individuals. Our approach employs Pontryagin’s maximum principle to determine the optimal control strategies, and we solve the resulting system through iterative methods. Finally, we perform numerical simulations using Matlab to validate our theoretical analysis.
{"title":"Optimal control in a mathematical model of a spread of the obesity epidemic and its impact on diabetes","authors":"Abdelbar EL Mansouri, I. Smouni, B. Khajji, A. Labzai, M. Belam, Y. Tidli","doi":"10.28919/cmbn/8041","DOIUrl":"https://doi.org/10.28919/cmbn/8041","url":null,"abstract":". The obesity epidemic is associated with several cardiovascular risk factors, including diabetes mellitus, dyslipidemia, and hypertension. Insulin resistance is believed to play a crucial role in the emergence of various health problems. Apart from genetic factors, obesity, particularly abdominal obesity, is a major contributor to the onset of diabetes. In this study, we present a mathematical model that captures the interplay between the prevalence of obesity and diabetes, and we investigate the adverse effects of excess weight on the well-being of diabetic individuals. Our approach employs Pontryagin’s maximum principle to determine the optimal control strategies, and we solve the resulting system through iterative methods. Finally, we perform numerical simulations using Matlab to validate our theoretical analysis.","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69245211","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}
A. Labzai, Mohamed Baroudi, M. Belam, Mostafa Rachik
. In this paper, we propose a fractional order SEIHR pandemic model of Covid-19 that describes the spreadability of Corona virus within a population. We prove the global existence, positivity, and boundedness of solutions. In addition, the local and the global stability of the disease-free equilibrium and the disease equilibrium are studied by using Routh-Hurwitz criteria and construction an appropriate Lyapunov functions. Finally, numerical simulations are performed to verify the theoretical results
{"title":"Stability analysis of an order fractional of a new corona virus disease (COVID-19) model","authors":"A. Labzai, Mohamed Baroudi, M. Belam, Mostafa Rachik","doi":"10.28919/cmbn/8064","DOIUrl":"https://doi.org/10.28919/cmbn/8064","url":null,"abstract":". In this paper, we propose a fractional order SEIHR pandemic model of Covid-19 that describes the spreadability of Corona virus within a population. We prove the global existence, positivity, and boundedness of solutions. In addition, the local and the global stability of the disease-free equilibrium and the disease equilibrium are studied by using Routh-Hurwitz criteria and construction an appropriate Lyapunov functions. Finally, numerical simulations are performed to verify the theoretical results","PeriodicalId":44079,"journal":{"name":"Communications in Mathematical Biology and Neuroscience","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69245896","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}
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