scholarly journals Modeling market barriers based on artificial immune system

10.12737/2208 ◽  
2014 ◽  
Vol 3 (4) ◽  
pp. 223-231
Author(s):  
Степанов ◽  
Leonid Stepanov ◽  
Сербулов ◽  
Yuriy Serbulov ◽  
Глухов ◽  
...  

The article considers the artificial immune system, which is a complex of mathematical methods to model the main functions of the human immune system, and used to determine the parameters and (or) their values which ​​can minimize the impact of certain factors (ex-ternal or internal) to any object. If such a system is functioning as the "observer", its antibodies correspond to the properties of a competitor. Then "interesting" competitors are those whose properties correspond to the antibodies of the immune system. Signal "danger" arises. It is important that an understanding of "interesting" competitor can promptly adapt to such changes.

2015 ◽  
Vol 5 (1) ◽  
pp. 299-309
Author(s):  
Степанов ◽  
Leonid Stepanov ◽  
Сербулов ◽  
Yuriy Serbulov ◽  
Глухов ◽  
...  

Artificial immune system is a complex of mathematical methods to simulate the basic func-tions of the human immune system, and used to determine the parameters and (or) their values that can minimize the impact of certain factors (external or internal) to the production and economic ent-ity. The main characteristic that distinguishes the immune system of a foreign agent is an antigen that is any molecule which can be recognized by cellular elements of immunity (lymphocytes) using specific sensitive receptors. Otherwise, the antigen is a separate index that distinguishes foreign agent. Despite all this, there are examples where this approach fails. There are cases where the im-mune system does not work on "friend or foe", but uses a protective mechanism of hazard recogni-tion, which is a key method of the theory of danger. This theory does not deny the existence of dif-ferentiation in the "friend or foe", and argues that there are other factors that lead to the initiation of the immune response. For example, the theory of danger determines the nature of data on the beha-vior of competing industrial and economic systems, which must be submitted and processed in the artificial immune systems. Application of the theory of danger increases the efficiency of mathe-matical models, forming an artificial immune system of the market, which in its turn allows recog-nition of a new competitor in the market, assess the risk on its part for the competitors, and deter-mine the values of the characteristics of companies that will dominate over the parameters of a new competitor.


Author(s):  
RAED ABU ZITAR ◽  
ADEL HAMDAN MOHAMMAD

This work presents a novel system based on artificial immune system for spam detection. A relatively new machine learning method inspired by the human immune system called Artificial Immune System (AIS) has been emerging recently. This method is currently undergoing intense investigation and demonstration. Core modifications were applied on the standard AIS with the aid of the Genetic Algorithm (GA). SpamAssassin corpus is used in all our simulations. Spam is a serious universal problem which causes problems for almost all computer users. This issue affects not only normal users of the internet, but also causes problems for companies and organizations due to expensive costs in lost productivity, wasting users' time and network bandwidth. Many studies on spam indicate that it costs organizations billions of dollars annually. We introduce a GA assisted AIS in spam detection, and compare between two methods. Encouraging results were achieved when comparing to commercially available anti-spam software.


2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
D. H. González Maglio ◽  
M. L. Paz ◽  
J. Leoni

Sunlight, composed of different types of radiation, including ultraviolet wavelengths, is an essential source of light and warmth for life on earth but has strong negative effects on human health, such as promoting the malignant transformation of skin cells and suppressing the ability of the human immune system to efficiently detect and attack malignant cells. UV-induced immunosuppression has been extensively studied since it was first described by Dr. Kripke and Dr. Fisher in the late 1970s. However, skin exposure to sunlight has not only this and other unfavorable effects, for example, mutagenesis and carcinogenesis, but also a positive one: the induction of Vitamin D synthesis, which performs several roles within the immune system in addition to favoring bone homeostasis. The impact of low levels of UV exposure on the immune system has not been fully reported yet, but it bears interesting differences with the suppressive effect of high levels of UV radiation, as shown by some recent studies. The aim of this article is to put some ideas in perspective and pose some questions within the field of photoimmunology based on established and new information, which may lead to new experimental approaches and, eventually, to a better understanding of the effects of sunlight on the human immune system.


2012 ◽  
Vol 58 (2) ◽  
pp. 193-199
Author(s):  
Zenon Chaczko ◽  
Shahrzad Aslanzadeh ◽  
Jonathan Kuleff

The Artificial Immune System Approach for Smart Air-Conditioning ControlBiologically inspired computing that looks to nature and biology for inspiration is a revolutionary change to our thinking about solving complex computational problems. It looks into nature and biology for inspiration rather than conventional approaches. The Human Immune System with its complex structure and the capability of performing pattern recognition, self-learning, immune-memory, generation of diversity, noise tolerance, variability, distributed detection and optimisation - is one area that has been of strong interest and inspiration for the last decade. An air conditioning system is one example where immune principles can be applied. This paper describes new computational technique called Artificial Immune System that is based on immune principles and refined for solving engineering problems. The presented system solution applies AIS algorithms to monitor environmental variables in order to determine how best to reach the desired temperature, learn usage patterns and predict usage needs. The aim of this paper is to explore the AIS-based artificial intelligence approach and its impact on energy efficiency. It will examine, if AIS algorithms can be integrated within a Smart Air Conditioning System as well as analyse the impact of such a solution.


2021 ◽  
Vol 4 (6) ◽  
pp. 100
Author(s):  
Raphael Ayivi ◽  
Salam Ibrahim ◽  
Heather Colleran ◽  
Roberta Silva ◽  
Leonard Williams ◽  
...  

The human immune system is the first line of defense in the prevention of viruses and diseases, and several immune response mechanisms are engaged at the onset of a pathogenic attack. In this review, we elucidate the human immune system as a critical element in protecting humans from COVID-19 by describing the immune process, explaining how the immune system functions, and highlighting the immune system’s global importance in fighting infections. Potential challenges that limit the  proper functioning of the immune system are also discussed. In addition, we address the impact of nutrition on boosting the body’s defenses against COVID-19. For example, some foods and active compounds from food ingredients have been suggested as a way to strengthen the immune system. Physical exercise has also been encouraged as an important way to support the immune response to viral infections. The aim of this review is thus to outline holistic self-defense immunity mechanisms that can help to reduce the risk of viral infections in humans. This review could therefore be used as a comprehensive resource for educating consumers and the general public about measures that can enhance the body’s immune support system as we continue to fight COVID-19 and its variants.Keywords: Immunity, Covid-19 COVID-19, Nutrition, Bioactive compounds, Food Ingredients


2021 ◽  
Author(s):  
Yang Hu ◽  
Yudai Xu ◽  
Lipeng Mao ◽  
Wen Lei ◽  
Jian Xiang ◽  
...  

ABSTRACTHuman immune system functions over an entire lifetime, yet how and why the immune system becomes less effective with age are not well understood. Here, we characterize peripheral blood mononuclear cells transcriptome from 172 healthy adults with 21~90 years of age using RNA-seq and the weighted gene correlation network analyses (WGCNA). These data reveal a set of insightful gene expression modules and representative gene biomarkers for human immune system aging from Asian and Caucasian ancestry, respectively. Among them, the aging-specific modules show an age-related gene expression variation spike around early-seventies. In addition, it is not known whether Asian and Caucasian immune systems go through similar gene expression changes throughout their lifespan, and to what extent these aging-associated changes are shared among ethnicities. We find the top hub genes including NUDT7, CLPB, OXNAD1 and MLLT3 are shared between Asian and Caucasian aging related modules and further validated in human PBMCs from different age groups. Overall, the impact of age and race on transcriptional variation elucidated from this study provide insights into the transcriptional driver of immune aging.


2021 ◽  
Vol 9 (T4) ◽  
pp. 111-117
Author(s):  
Dianita Sugiyo ◽  
Ralalicia Limato ◽  
Saskia Dyah Handari

BACKGROUND: Coronavirus disease (COVID-19) has become a global pandemic and is confirmed worldwide to cause a high mortality rates; as of the April 23, 2020, over 189,000 deaths have occurred in 2,700,800 COVID-19 cases. However, it appears that little consideration has been given to smokers and the users of tobacco-related products relative to the impact of the virus on that particular cohort of patients. AIM: The aim of the study was to commence a narrative review of research and academic articles of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) prevalence related to cigarette smoking and the consumption of tobacco-related products. METHODS: The study involved evidence-based publication searches on ProQuest and EBSCOhost databases informed by a number of keywords. The additional data were obtained from relevant journals searched manually, as well as following up references or primary articles. The search was conducted from April 23 to 24, 2020, adopting the use of several terms, such as “tobacco use” AND “COVID”, “tobacco use” AND “SARS-CoV-2”, “smokers” AND “COVID”, “cigarette” AND “SARS-CoV-2”, and “tobacco use” AND COVID-19 AND sars-cov-2. RESULTS: Several studies (n = 8) confirmed that conventional smoking and electronic cigarette use correlated with the decline of the human immune system and the feasibility of infection. The second group of evidence (n = 9) explored higher Angiotensin-converting enzyme 2 among smokers, as the binding sites of SARS-COV-2. CONCLUSION: Tobacco use among smokers and former smokers is significantly correlated to the decline in the status of the human immune system and worsen the disease prognosis. In addition, smoking status is associated with a greater likelihood of smokers being infected with SARS-COV-2; a condition that can further develop into coronavirus disease.


2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Chuxi Wang ◽  
Xin Zhou ◽  
Meng Wang ◽  
Xin Chen

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