显示样式： 排序： IF:  GO 导出

circFAT1(e2) Promotes Papillary Thyroid Cancer Proliferation, Migration, and Invasion via the miRNA873/ZEB1 Axis Comput. Math. Method Med. (IF 1.77) Pub Date : 20201020
Jiazhe Liu; Hongchang Li; Chuanchao Wei; Junbin Ding; Jingfeng Lu; Gaofeng Pan; Anwei MaoCircular RNAs (circRNAs) play an extremely important regulatory role in the occurrence and development of various malignant tumors including papillary thyroid cancer (PTC). circFAT1(e2) is a new type of circRNA derived from exon 2 of the FAT1 gene, which is distributed in the cytoplasm and nucleus of PTC cells. However, so far, the role of circFAT1(e2) in PTC is still unclear. In this study, circFAT1(e2)

Phenomenological Modelling of COVID19 Epidemics in Sri Lanka, Italy, the United States, and Hebei Province of China Comput. Math. Method Med. (IF 1.77) Pub Date : 20201019
A. M. C. H. Attanayake; S. S. N. Perera; S. JayasingheThe COVID19 pandemic has resulted in increasing number of infections and deaths every day. Lack of specialized treatments for the disease demands preventive measures based on statistical/mathematical models. The analysis of epidemiological curve fitting, on number of daily infections across affected countries, provides useful insights on the characteristics of the epidemic. A variety of phenomenological

COVID19 Epidemic in Sri Lanka: A Mathematical and Computational Modelling Approach to Control Comput. Math. Method Med. (IF 1.77) Pub Date : 20201019
W. P. T. M. Wickramaarachchi; S. S. N. Perera; S. JayasingheThe ongoing COVID19 outbreak that originated in the city of Wuhan, China, has caused a significant damage to the world population and the global economy. It has claimed more than 0.8 million lives worldwide, and more than 27 million people have been infected as of 07th September 2020. In Sri Lanka, the first case of COVID19 was reported late January 2020 which was a Chinese national and the first

Identification and Classification of Enhancers Using Dimension Reduction Technique and Recurrent Neural Network Comput. Math. Method Med. (IF 1.77) Pub Date : 20201019
Qingwen Li; Lei Xu; Qingyuan Li; Lichao ZhangEnhancers are noncoding fragments in DNA sequences, which play an important role in gene transcription and translation. However, due to their high free scattering and positional variability, the identification and classification of enhancers have a higher level of complexity than those of coding genes. In order to solve this problem, many computer studies have been carried out in this field, but there

A Method for Identifying Vesicle Transport Proteins Based on LibSVM and MRMD Comput. Math. Method Med. (IF 1.77) Pub Date : 20201019
Zhiyu Tao; Yanjuan Li; Zhixia Teng; Yuming ZhaoWith the development of computer technology, many machine learning algorithms have been applied to the field of biology, forming the discipline of bioinformatics. Protein function prediction is a classic research topic in this subject area. Though many scholars have made achievements in identifying protein by different algorithms, they often extract a large number of feature types and use very complex

Modeling the Impact of Seasonal Weather Variations on the Infectiology of Brucellosis Comput. Math. Method Med. (IF 1.77) Pub Date : 20201017
Nkuba Nyerere; Livingstone S. Luboobi; Saul C. Mpeshe; Gabriel M. ShirimaA deterministic mathematical model for brucellosis that incorporates seasonality on direct and indirect transmission parameters for domestic ruminants, wild animals, humans, and the environment was formulated and analyzed in this paper. Both analytical and numerical simulations are presented. From this study, the findings show that variations in seasonal weather have the great impact on the transmission

Identification of an Epidemiological Model to Simulate the COVID19 Epidemic Using Robust Multiobjective Optimization and Stochastic Fractal Search Comput. Math. Method Med. (IF 1.77) Pub Date : 20201015
Fran Sérgio Lobato; Gustavo Barbosa Libotte; Gustavo Mendes PlattTraditionally, the identification of parameters in the formulation and solution of inverse problems considers that models, variables, and mathematical parameters are free of uncertainties. This aspect simplifies the estimation process, but does not consider the influence of relatively small changes in the design variables in terms of the objective function. In this work, the SIDR (Susceptible, Infected

Imrecoxib Inhibits ParaquatInduced Pulmonary Fibrosis through the NFκB/Snail Signaling Pathway Comput. Math. Method Med. (IF 1.77) Pub Date : 20201014
Haihao JinObjective. In recent years, pulmonary fibrosis caused by paraquat poisoning is still concerned. However, no effective drugs have been developed yet to treat paraquatinduced pulmonary fibrosis. The aim of our research is to investigate whether imrecoxib can inhibit paraquatinduced pulmonary fibrosis and its possible mechanism. Methods. Extraction of primary pulmonary fibrosis cells (PPF cells) in

A Mathematical Model to Study the Effectiveness of Some of the Strategies Adopted in Curtailing the Spread of COVID19 Comput. Math. Method Med. (IF 1.77) Pub Date : 20201013
Isa Abdullahi Baba; Bashir Abdullahi Baba; Parvaneh EsmailiIn this paper, we developed a model that suggests the use of robots in identifying COVID19positive patients and which studied the effectiveness of the government policy of prohibiting migration of individuals into their countries especially from those countries that were known to have COVID19 epidemic. Two compartmental models consisting of two equations each were constructed. The models studied

A Mathematical Model to Investigate the Transmission of COVID19 in the Kingdom of Saudi Arabia Comput. Math. Method Med. (IF 1.77) Pub Date : 20201012
Fehaid Salem AlshammariSince the first confirmed case of SARSCoV2 coronavirus (COVID19) on March 02, 2020, Saudi Arabia has not reported quite a rapid COVD19 spread as seen in America and many European countries. Possible causes include the spread of asymptomatic COVID19 cases. To characterize the transmission of COVID19 in Saudi Arabia, a susceptible, exposed, symptomatic, asymptomatic, hospitalized, and recovered

Effects of Bronchoalveolar Lavage with Ambroxol Hydrochloride on Treating Pulmonary Infection in Patients with Cerebral Infarction and on Serum Proinflammatory Cytokines, MDA and SOD Comput. Math. Method Med. (IF 1.77) Pub Date : 20201009
Fanhua Meng; Jing Cheng; Peng Sang; Jianhui WangObjective. This paper was aimed at investigating the effects of bronchoalveolar lavage (BAL) with ambroxol hydrochloride (AH) on treating pulmonary infection and on serum proinflammatory cytokines and oxidative stress responses in patients with cerebral infarction (CI). Methods. One hundred and two patients with cerebral infarction complicated with pulmonary infection (CIPI) who were treated in our

Wavelet Scattering Transform for ECG Beat Classification Comput. Math. Method Med. (IF 1.77) Pub Date : 20201009
Zhishuai Liu; Guihua Yao; Qing Zhang; Junpu Zhang; Xueying ZengAn electrocardiogram (ECG) records the electrical activity of the heart; it contains rich pathological information on cardiovascular diseases, such as arrhythmia. However, it is difficult to visually analyze ECG signals due to their complexity and nonlinearity. The wavelet scattering transform can generate translationinvariant and deformationstable representations of ECG signals through cascades

Texture FeatureBased Classification on Transrectal Ultrasound Image for Prostatic Cancer Detection Comput. Math. Method Med. (IF 1.77) Pub Date : 20201006
Xiaofu Huang; Ming Chen; Peizhong Liu; Yongzhao DuProstate cancer is one of the most common cancers in men. Early detection of prostate cancer is the key to successful treatment. Ultrasound imaging is one of the most suitable methods for the early detection of prostate cancer. Although ultrasound images can show cancer lesions, subjective interpretation is not accurate. Therefore, this paper proposes a transrectal ultrasound image analysis method

Mathematical Modelling of HIVHCV Coinfection Dynamics in Absence of Therapy Comput. Math. Method Med. (IF 1.77) Pub Date : 20201006
Edison Mayanja; Livingstone S. Luboobi; Juma Kasozi; Rebecca N. NsubugaGlobally, it is estimated that of the 36.7 million people infected with human immunodeficiency virus (HIV), 6.3% are coinfected with hepatitis C virus (HCV). Coinfection with HIV reduces the chance of HCV spontaneous clearance. In this work, we formulated and analysed a deterministic model to study the HIV and HCV coinfection dynamics in absence of therapy. Due to chronic stage of HCV infection being

Effects of SingleNucleotide Polymorphisms in CalmodulinDependent Protein Kinase Kinase 2 (CAMKK2): A Comprehensive Study Comput. Math. Method Med. (IF 1.77) Pub Date : 20201006
Zoya Khalid; Omar AlmaghrabiCalmodulindependent protein kinase kinase 2 (CAMKK2) is a protein kinase that belongs to the serine/threonine kinase family. It phosphorylates kinases like CAMK1, CAMK2, and AMP, and this signaling cascade is involved in various biological processes including cell proliferation, apoptosis, and proliferation. Also, the CAMKK2 signaling activity is required for the healthy activity of the brain which

Transcriptome Analysis Identifies Novel Prognostic Genes in Osteosarcoma Comput. Math. Method Med. (IF 1.77) Pub Date : 20201006
Junfeng Chen; Xiaojun Guo; Guangjun Zeng; Jianhua Liu; Bin ZhaoOsteosarcoma (OS), a malignant primary bone tumor often seen in young adults, is highly aggressive. The improvements in highthroughput technologies have accelerated the identification of various prognostic biomarkers for cancer survival prediction. However, only few studies focus on the prediction of prognosis in OS patients using gene expression data due to small sample size and the lack of public

A Medical Decision Support System to Assess Risk Factors for Gastric Cancer Based on Fuzzy Cognitive Map Comput. Math. Method Med. (IF 1.77) Pub Date : 20201005
Seyed Abbas Mahmoodi; Kamal Mirzaie; Maryam Sadat Mahmoodi; Seyed Mostafa MahmoudiGastric cancer (GC), one of the most common cancers around the world, is a multifactorial disease and there are many risk factors for this disease. Assessing the risk of GC is essential for choosing an appropriate healthcare strategy. There have been very few studies conducted on the development of risk assessment systems for GC. This study is aimed at providing a medical decision support system based

Penalized Quadratic Inference FunctionBased Variable Selection for Generalized Partially Linear Varying Coefficient Models with Longitudinal Data Comput. Math. Method Med. (IF 1.77) Pub Date : 20201005
Jinghua Zhang; Liugen XueSemiparametric generalized varying coefficient partially linear models with longitudinal data arise in contemporary biology, medicine, and life science. In this paper, we consider a variable selection procedure based on the combination of the basis function approximations and quadratic inference functions with SCAD penalty. The proposed procedure simultaneously selects significant variables in the

A Benign and Malignant Breast Tumor Classification Method via Efficiently Combining Texture and Morphological Features on Ultrasound Images Comput. Math. Method Med. (IF 1.77) Pub Date : 20201001
Mengwan Wei; Yongzhao Du; Xiuming Wu; Qichen Su; Jianqing Zhu; Lixin Zheng; Guorong Lv; Jiafu ZhuangThe classification of benign and malignant based on ultrasound images is of great value because breast cancer is an enormous threat to women’s health worldwide. Although both texture and morphological features are crucial representations of ultrasound breast tumor images, their straightforward combination brings little effect for improving the classification of benign and malignant since highdimensional

Comprehensive Analysis of Immunoinhibitors Identifies LGALS9 and TGFBR1 as Potential Prognostic Biomarkers for Pancreatic Cancer Comput. Math. Method Med. (IF 1.77) Pub Date : 20200930
Yue Fan; Tianyu Li; Lili Xu; Tiantao KuangPancreatic cancer (PC) is one of the most deadly cancers worldwide. To uncover the unknown novel biomarker used to indicate early diagnosis and prognosis in the molecular therapeutic field of PC is extremely of importance. Accumulative evidences indicated that aberrant expression or activation of immunoinhibitors is a common phenomenon in malignances, and significant associations have been noted between

A Mathematical Description of the Dynamics of Coronavirus Disease 2019 (COVID19): A Case Study of Brazil Comput. Math. Method Med. (IF 1.77) Pub Date : 20200930
Pedro V. Savi; Marcelo A. Savi; Beatriz BorgesThis paper deals with the mathematical modeling and numerical simulations related to the coronavirus dynamics. A description is developed based on the framework of the susceptibleexposedinfectiousremoved model. Initially, a model verification is carried out calibrating system parameters with data from China, Italy, Iran, and Brazil. Results show the model capability to predict infectious evolution

Intelligent Rehabilitation Assistance Tools for Distal Radius Fracture: A Systematic Review Based on Literatures and Mobile Application Stores Comput. Math. Method Med. (IF 1.77) Pub Date : 20200929
Yalan Chen; Yijun Yu; Xin Lin; Zhenwei Han; Zhe Feng; Xinyi Hua; Dongliang Chen; Xiaotao Xu; Yuanpeng Zhang; Guheng WangObjective. To systematically analyze the existing intelligent rehabilitation mobile applications (APPs) related to distal radius fracture (DRF) and evaluate their features and characteristics, so as to help doctors and patients to make evidencebased choice for appropriate intelligentassisted rehabilitation. Methods. Literatures which in regard to the intelligent rehabilitation tools of DRF were systematic

EEGBased Epilepsy Recognition via Multiple Kernel Learning Comput. Math. Method Med. (IF 1.77) Pub Date : 20200929
Yufeng Yao; Yan Ding; Shan Zhong; Zhiming CuiIn the field of braincomputer interfaces, it is very common to use EEG signals for disease diagnosis. In this study, a style regularized least squares support vector machine based on multikernel learning is proposed and applied to the recognition of epilepsy abnormal signals. The algorithm uses the style conversion matrix to represent the style information contained in the sample, regularizes it in

Review on Diagnosis of COVID19 from Chest CT Images Using Artificial Intelligence Comput. Math. Method Med. (IF 1.77) Pub Date : 20200926
Ilker Ozsahin; Boran Sekeroglu; Musa Sani Musa; Mubarak Taiwo Mustapha; Dilber Uzun OzsahinThe COVID19 diagnostic approach is mainly divided into two broad categories, a laboratorybased and chest radiography approach. The last few months have witnessed a rapid increase in the number of studies use artificial intelligence (AI) techniques to diagnose COVID19 with chest computed tomography (CT). In this study, we review the diagnosis of COVID19 by using chest CT toward AI. We searched ArXiv

Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue Comput. Math. Method Med. (IF 1.77) Pub Date : 20200925
Sunyong Seo; Jinho ParkRecently, the hair loss population, alopecia areata patients, is increasing due to various unconfirmed reasons such as environmental pollution and irregular eating habits. In this paper, we introduce an algorithm for preventing hair loss and scalp selfdiagnosis by extracting HLF (hair loss feature) based on the scalp image using a microscope that can be mounted on a smart device. We extract the HLF

Different Strategies for Cancer Treatment: Mathematical Modelling Comput. Math. Method Med. (IF 1.77) Pub Date : 2009
O. G. Isaeva; V. A. OsipovWe formulate and analyse a mathematical model describing immune response to avascular tumour under the influence of immunotherapy and chemotherapy and their combinations as well as vaccine treatments. The effect of vaccine therapy is considered as a parametric perturbation of the model. In the case of a weak immune response, neither immunotherapy nor chemotherapy is found to cause tumour regression

A Model for Liver Homeostasis Using Modified MeanReverting Ornstein–Uhlenbeck Process Comput. Math. Method Med. (IF 1.77) Pub Date : 2010
D. C. Trost; E. A. Overman; J. H. Ostroff; W. Xiong; P. MarchShort of a liver biopsy, hepatic disease and druginduced liver injury are diagnosed and classified from clinical findings, especially laboratory results. It was hypothesized that a healthy hepatic dynamic equilibrium might be modelled by an Ornstein–Uhlenbeck (OU) stochastic process, which might lead to more sensitive and specific diagnostic criteria. Using pooled data from healthy volunteers in pharmaceutical

Theoretical Models for the Quantification of Lung Injury Using Ventilation and Perfusion Distributions Comput. Math. Method Med. (IF 1.77) Pub Date : 2009
B. S. Brook; C. M. Murphy; D. Breen; A. W. Miles; D. G. Tilley; A. J. WilsonThis paper describes two approaches to modelling lung disease: one based on a multicompartment statistical model with a log normal distribution of ventilation perfusion ratio (V˙/Q˙) values; and the other on a bifurcating tree which emulates the anatomical structure of the lung. In the statistical model, the distribution becomes bimodal, when the V˙/Q˙ values of a randomly selected number of compartments

Modelling Formation of a Drug Reservoir in the Stratum Corneum and Its Impact on Drug Monitoring Using Reverse Iontophoresis Comput. Math. Method Med. (IF 1.77) Pub Date : 2010
Yvonne Paulley; M. Begoña DelgadoCharro; K. A. Jane WhiteReverse iontophoresis is a relatively new technique for noninvasive drug monitoring in the body. It involves a small electrical current being passed through the skin to facilitate the movement of small charged ions and polar molecules on the skin's surface where the amount of drug can then be measured and hence an accurate estimate of the blood concentration can be made. In vivo studies for several

Transposed Markov Matrix as a New Decision Tool of How to Choose among Competing Investment Options in Academic Medicine Comput. Math. Method Med. (IF 1.77) Pub Date : 2009
Amnon SonnenbergMedical institutions face the challenge of promoting excellence in a variety of competing focus areas, such as grants, publications, income, research, faculty, variety, patient care and teaching. A transposed Markov chain is used analyse the interactions between the various focus areas and their transition towards steadystate. In contradistinction with a regular Markov chain, in the transposed chain

Optimal Control of Vertically Transmitted Disease: An Integrated Approach Comput. Math. Method Med. (IF 1.77) Pub Date : 2010
Samit Bhattacharyya; Suma GhoshWe study the dynamics of a disease under administration of a vaccine and antiviral drug, where the disease transmits directly from the parents to the offspring (vertical transmission) and also through contact with infective individuals (horizontal transmission). While vaccination to those susceptible reduces the horizontal transmission, administration of the antiviral drug to infected individuals lessens

The HPV vaccination strategy: could male vaccination have a significant impact? Comput. Math. Method Med. (IF 1.77) Pub Date : 2010
V Brown,K A J WhiteWe investigate the potential success of the human papilloma virus (HPV) vaccine, taking into consideration possible waning immunity and the influence of behavioural parameters. We use a compartmental, populationlevel ordinary differential equation (ODE) model. We find the effective reproductive value for HPV, R0e, which measures the threshold for infection outbreak in a population that is not entirely

Detection of Indeterminacies in Corrected ECG Signals Using Parameterized Multidimensional Independent Component Analysis Comput. Math. Method Med. (IF 1.77) Pub Date : 2009
M. P. S. ChawlaIndependent component analysis (ICA) is a new technique suitable for separating independent components from electrocardiogram (ECG) complex signals. The basic idea of using multidimensional independent component analysis (MICA) is to find stable higher dimensional source signal subspaces and to decompose each rotation into elementary rotations within all twodimensional planes spanned by the coordinate

ComputerAided Diagnosis of Multiple Sclerosis Comput. Math. Method Med. (IF 1.77) Pub Date : 2009
R. Linder; D. Mörschner; S. J. Pöppl; A. MoserThe study aims to develop a computerassisted decision support based on cerebrospinal fluid (CSF) and blood findings to improve their value and ease the diagnostic procedure of chronic inflammatory diseases (CIDs) of central nervous system (CNS). Data were collected from patients suffering from multiple sclerosis (MS, n = 73), from another CID of the CNS (n = 22), or a psychiatric disease (control

The Dynamics of an HIV/AIDS Model with Screened Disease Carriers Comput. Math. Method Med. (IF 1.77) Pub Date : 2009
S. D. HoveMusekwa; F. NyabadzaThe presence of carriers usually complicates the dynamics and prevention of a disease. They are not recognized as disease cases themselves unless they are screened and they usually spread the infection without them being aware. We argue that this has been one of the major causes of the spread of human immunodeficiency virus (HIV). We propose, in this paper, a model for the heterogeneous transmission

Mathematical Identification of a Neuronal Network Consisting of GABA and DA in Striatal Slices of the Rat Brain Comput. Math. Method Med. (IF 1.77) Pub Date : 2009
L. Ramrath; J. Levering; M. Conrad; A. Thuemen; H. Fuellgraf; A. MoserHigh frequency stimulation (HFS) has been used to treat various neurological and psychiatric diseases. Although further disorders are under investigation to extend the clinical application of HFS, the complex effect of HFS within a neuronal network is still unknown. Thus, it would be desirable to find a theoretical model that allows an estimation of the expected effect of applied HFS. Based on the

A Stochastic and State Space Model for Tumour Growth and Applications Comput. Math. Method Med. (IF 1.77) Pub Date : 2009
WaiYuan Tan; Weiming Ke; G. WebbWe develop a state space model documenting Gompertz behaviour of tumour growth. The state space model consists of two submodels: a stochastic system model that is an extension of the deterministic model proposed by Gyllenberg and Webb (1991), and an observation model that is a statistical model based on data for the total number of tumour cells over time. In the stochastic system model we derive through

Mathematical Model Creation for Cancer ChemoImmunotherapy Comput. Math. Method Med. (IF 1.77) Pub Date : 2009
Lisette de Pillis; K. Renee Fister; Weiqing Gu; Craig Collins; Michael Daub; David Gross; James Moore; Benjamin PreskillOne of the most challenging tasks in constructing a mathematical model of cancer treatment is the calculation of biological parameters from empirical data. This task becomes increasingly difficult if a model involves several cell populations and treatment modalities. A sophisticated model constructed by de Pillis et al., Mixed immunotherapy and chemotherapy of tumours: Modelling, applications and biological

Correlation between Animal and Mathematical Models for Prostate Cancer Progression Comput. Math. Method Med. (IF 1.77) Pub Date : 2009
Z. Jackiewicz; C. L. Jorcyk; M. Kolev; B. ZubikKowalThis work demonstrates that prostate tumour progression in vivo can be analysed by using solutions of a mathematical model supplemented by initial conditions chosen according to growth rates of cell lines in vitro. The mathematical model is investigated and solved numerically. Its numerical solutions are compared with experimental data from animal models. The numerical results confirm the experimental

A classification system for hospitalbased infection outbreaks. Comput. Math. Method Med. (IF 1.77) Pub Date : 2010
Paul S Ganney,Maurice Madeo,Roger PhillipsOutbreaks of infection within semiclosed environments such as hospitals, whether inherent in the environment (such as Clostridium difficile (C.Diff) or Methicillinresistant Staphylococcus aureus (MRSA) or imported from the wider community (such as Norwalklike viruses (NLVs)), are difficult to manage. As part of our work on modelling such outbreaks, we have developed a classification system to describe

Modelling within host parasite dynamics of schistosomiasis. Comput. Math. Method Med. (IF 1.77) Pub Date : 2010
Edward T Chiyaka,Gesham Magombedze,Lawrence MutimbuSchistosomiasis infection is characterized by the presence of adult worms in the portal and mesenteric veins of humans as part of a complex migratory cycle initiated by cutaneous penetration of the cercariae shed by infected freshwater snails. The drug praziquantel is not always effective in the treatment against schistosomiasis at larvae stage. However, our simulations show that it is effective against

A Modified Stochastic Gompertz Model for Tumour Cell Growth Comput. Math. Method Med. (IF 1.77) Pub Date : 2010
C. F. LoBased upon the deterministic Gompertz law of cell growth, we have proposed a stochastic model of tumour cell growth, in which the size of the tumour cells is bounded. The model takes account of both cell fission (which is an ‘action at a distance’ effect) and mortality too. Accordingly, the density function of the size of the tumour cells obeys a functional Fokker–Planck Equation (FPE) associated with

Letter from the Editors Comput. Math. Method Med. (IF 1.77) Pub Date : 2010
This article has no abstract.

ComputerAided Design of Nanocapsules for Therapeutic Delivery Comput. Math. Method Med. (IF 1.77) Pub Date : 2009
Zeina Shreif; Peter OrtolevaThe design of nanocapsules for targeted delivery of therapeutics presents many, often seemingly selfcontradictory, constraints. An algorithm for predicting the physicochemical characteristics of nanocapsule delivery and payload release using a novel allatom, multiscale technique is presented. This computational method preserves key atomicscale behaviours needed to make predictions of interactions

How to Obtain Long Term Projections for Smoking Behaviour: A Case Study in the Dutch Population Comput. Math. Method Med. (IF 1.77) Pub Date : 2009
Maurizio Capannesi; Hendriek C. Boshuizen; Marc C. Willemsen; Hans C. van HouwelingenA statetransition model is presented to project the prevalence rates of never, current and former smokers within the Dutch population. Changes are determined by the transition rates among these three classes: start rates, quit rates and relapse rates. Both the initial prevalence rates and transition rates are calculated from crosssectional data using a restricted quadratic multinomial regression

A mixedculture model of a probiotic biofilm control system. Comput. Math. Method Med. (IF 1.77) Pub Date : 2010
Hermann J Eberl,Hassan Khassehkhan,Laurent DemaretWe present a mathematical model and computer simulations for the control of a pathogenic biofilm by a probiotic biofilm. This is a substantial extension of a previous model of control of a pathogenic biofilm by microbial control agents that are suspended in the aqueous bulk phase (H. Khassehkhan and H.J. Eberl, Comp. Math. Meth. Med, 9(1) (2008), pp. 47–67). The mathematical model is a system of doubledegenerate

WebStrabNet: A WebBased Expert System for the Differential Diagnosis of Vertical Strabismus (Squint) Comput. Math. Method Med. (IF 1.77) Pub Date : 2010
A. C. Fisher; S. P. Lake; I. P. Cunningham; A. ChandnaA squint, also known as strabismus, is a condition where the eyes are misaligned because of incorrect balance in the controlling eye muscles. This may result from muscular, neuromuscular or purely mechanical factors. An affected eye will have either predominating vertical or horizontal deviation. Vertical deviations are usually classified into eight classes (diagnoses) and horizontal into 10. The present

Calculating the number of people with Alzheimer's disease in any country using saturated mutation models of brain cell loss that also predict widespread natural immunity to the disease. Comput. Math. Method Med. (IF 1.77) Pub Date : 2010
Ivan KramerThe series of mutations that cause brain cells to spontaneously and randomly die leading to Alzheimer's disease (AD) is modelled. The prevalence of AD as a function of age in males and females is calculated from two very different mutation models of brain cell death. Once the prevalence functions are determined, the number of people with AD in any country or city can be estimated.The models developed

Fractal pharmacokinetics. Comput. Math. Method Med. (IF 1.77) Pub Date : 2010
Luis M PereiraPharmacokinetics (PK) has been traditionally dealt with under the homogeneity assumption. However, biological systems are nowadays comprehensively understood as being inherently fractal. Specifically, the microenvironments where drug molecules interact with membrane interfaces, metabolic enzymes or pharmacological receptors, are unanimously recognized as unstirred, spacerestricted, heterogeneous and

Towards prediction of HCV therapy efficiency. Comput. Math. Method Med. (IF 1.77) Pub Date : 2010
Szymon Wasik,Paulina Jackowiak,Jacek B Krawczyk,Paweł Kedziora,Piotr Formanowicz,Marek Figlerowicz,Jacek BłazewiczWe investigate a correlation between genetic diversity of hepatitis C virus population and the level of viral RNA accumulation in patient blood. Genetic diversity is defined as the mean Hamming distance between all pairs of virus RNA sequences representing the population. We have found that a low Hamming distance (i.e. low genetic diversity) correlates with a high RNA level; symmetrically, high diversity

Inferences for joint modelling of repeated ordinal scores and time to event data. Comput. Math. Method Med. (IF 1.77) Pub Date : 2010
Arindom Chakraborty,Kalyan DasIn clinical trials and other followup studies, it is natural that a response variable is repeatedly measured during followup and the occurrence of some key event is also monitored. There has been a considerable study on the joint modelling these measures together with information on covariates. But most of the studies are related to continuous outcomes. In many situations instead of observing continuous

Modelling of Peripheral Fluid Accumulation after a Crystalloid Bolus in Female Volunteers – A Mathematical Study Comput. Math. Method Med. (IF 1.77) Pub Date : 2010
Peter Rodhe; Dan Drobin; Robert G. Hahn; Bernt Wennberg; Christina Lindahl; Fredrik Sjöstrand; Christer H. SvensenThis article has no abstract.

Mathematical Modelling of Immune Response in Tissues Comput. Math. Method Med. (IF 1.77) Pub Date : 2009
B. Su; W. Zhou; K. S. Dorman; D. E. JonesWe have developed a spatial–temporal mathematical model (PDE) to capture fundamental aspects of the immune response to antigen. We have considered terms that broadly describe intercellular communication, cell movement, and effector function (activation or inhibition). The PDE model is robust to variation in antigen load and it can account for (1) antigen recognition, (2) an innate immune response,

Joint ProbabilityBased Neuronal Spike Train Classification Comput. Math. Method Med. (IF 1.77) Pub Date : 2009
Yan Chen; Vitaliy Marchenko; Robert F. RogersNeuronal spike trains are used by the nervous system to encode and transmit information. Euclidean distancebased methods (EDBMs) have been applied to quantify the similarity between temporallydiscretized spike trains and model responses. In this study, using the same discretization procedure, we developed and applied a joint probabilitybased method (JPBM) to classify individual spike trains of slowly

Measurement Properties of Simple Biomechanical Measures of Walking Effort Comput. Math. Method Med. (IF 1.77) Pub Date : 2009
Michael Raymond PierrynowskiA simple measure of overall walking effort would be valuable to patients and clinicians to select suitable treatment interventions and to monitor progress. In this paper, the reproducibility and responsiveness of seven potentially useful clinical measures of walking effort are presented. These walking effort outcomes were derived from a compass gait model and space curve displacement, acceleration

Generalized FokkerPlanck theory for electron and photon transport in biological tissues: application to radiotherapy. Comput. Math. Method Med. (IF 1.77) Pub Date : 2010
Edgar Olbrant,Martin FrankIn this paper, we study a deterministic method for particle transport in biological tissues. The method is specifically developed for dose calculations in cancer therapy and for radiological imaging. Generalized Fokker–Planck (GFP) theory [Leakeas and Larsen, Nucl. Sci. Eng. 137 (2001), pp. 236–250] has been developed to improve the FokkerPlanck (FP) equation in cases where scattering is forwardpeaked

Multiscale estimation of cell kinetics. Comput. Math. Method Med. (IF 1.77) Pub Date : 2010
Larry W Jean,Martin T Suchorolski,Jihyoun Jeon,E Georg LuebeckWe introduce a methodology based on the Luria–Delbrück fluctuation model for estimating the cell kinetics of clonally expanding populations. In particular, this approach allows estimation of the net cell proliferation rate, the extinction coefficient and the initial (viable) population size. We present a systematic approach based on spatial partitioning, which captures the local fluctuations of the

Modelling of peripheral fluid accumulation after a crystalloid bolus in female volunteers  a mathematical study. Comput. Math. Method Med. (IF 1.77) Pub Date : 2010
Peter Rodhe,Dan Drobin,Robert G Hahn,Bernt Wennberg,Christina Lindahl,Fredrik Sjöstrand,Christer H SvensenObjective. To simultaneously model plasma dilution and urinary output in female volunteers.Methods. Ten healthy female nonpregnant volunteers, aged 21–39 years (mean 29), with a bodyweight of 58–67 kg (mean 62.5 kg) participated. No oral fluid or food was allowed between midnight and completion of the experiment. The protocol included an infusion of acetated Ringer's solution, 25 ml/kg over 30 min

Stability Analysis of a Model of Atherogenesis: An Energy Estimate Approach II Comput. Math. Method Med. (IF 1.77) Pub Date : 2010
A. I. Ibragimov; C. J. McNeal; L. R. Ritter; J. R. WaltonThis paper considers modelling atherogenesis, the initiation of atherosclerosis, as an inflammatory instability. Motivated by the disease paradigm articulated by Russell Ross, atherogenesis is viewed as an inflammatory spiral with positive feedback loop involving key cellular and chemical species interacting and reacting within the intimal layer of muscular arteries. The inflammation is modelled through

Modelling the effects of condom use and antiretroviral therapy in controlling HIV/AIDS among heterosexuals, homosexuals and bisexuals. Comput. Math. Method Med. (IF 1.77) Pub Date : 2010
Noble Malunguza,Steady Mushayabasa,Christinah Chiyaka,Zindoga MukandavireA deterministic compartmental sexstructured HIV/AIDS model for assessing the effects of homosexuals and bisexuals in heterosexual settings in which homosexuality and bisexuality issues have remained taboo is presented. We extend the model to focus on the effects of condom use as a single strategy approach in HIV prevention in the absence of any other intervention strategies. Initially, we model the