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Journal articles on the topic 'Genetic originality'
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1
Wisniowska, Magdalena. "Originality and Genesis." Deleuze and Guattari Studies 14, no. 2 (May 2020): 255–79. http://dx.doi.org/10.3366/dlgs.2020.0401.
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The topic of this paper is the concept of originality as it relates to the concept of genesis developed by Deleuze in his early essay ‘The Idea of Genesis in Kant's Esthetics’. Using the exhibition of Tim Bennett's as a starting point, it brings together two accounts of originality, the first postmodern one represented by Rosalind Krauss's ‘The Originality of the Avant-garde’ and the second genetic kind found in Deleuze's aforementioned essay, to show how originality and genesis might correspond, paying close attention to the transcendental innovations of Kant's aesthetic tradition to which both concepts belong.
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Komarova, L. V., A. R. Peleeva, N. V. Kostitsyna, A. G. Melnikova, and S. V. Boronnikova. "DNA polymorphism, genetic originality and identification of sterlet populations and replacement broodstock (Acipenser ruthenus)." Вестник Пермского университета. Серия «Биология»=Bulletin of Perm University. Biology, no. 1 (2021): 53–60. http://dx.doi.org/10.17072/1994-9952-2021-1-53-60.
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DNA polymorphism has been studied, indicators of genetic diversity and genetic originality have been de-termined for three natural populations and three replacement broodstocks of sterlet (Acipenser ruthenus Linnaeus, Acipenseridae) from the Volga Federal District. In the group of A. ruthenus replacement broodstock, 106 ISSR-PСR markers were identified, and in the group of natural populations, 103 ISSR-PСR markers. The indicators of genetic diversity and the coefficient of genetic originality (CGO) were slightly higher in the group of natural populations. Analysis of genetic structure of natural populations and groups of broodstock herds A. ruthenus showed that the coefficient of genetic differentiation are also slightly higher in the group of natural populations and equal 0,377. As a result of molecular genetic iden-tification, generic and species identification fragments of sterlet DNA were revealed, as well as combina-tions of polymorphic fragments for identification of the studied natural populations and stocks. The data obtained can be used to preserve the gene pool of populations, which is characteristic for a particular re-gion.
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Nesteruk, L. V., N. N. Makarova, G. R. Svishcheva, and Yu A. Stolpovsky. "Estimation of genetic diversity of Romanov sheep by the coefficient of genetic originality based on ISSR-fingerprinting data." Russian Journal of Genetics 51, no. 7 (July 2015): 725–29. http://dx.doi.org/10.1134/s1022795415070091.
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Vasilyeva, Yulia, Nikita Chertov, Yulia Nechaeva, Yana Sboeva, Nina Pystogova, Svetlana Boronnikova, and Ruslan Kalendar. "Genetic Structure, Differentiation and Originality of Pinus sylvestris L. Populations in the East of the East European Plain." Forests 12, no. 8 (July 28, 2021): 999. http://dx.doi.org/10.3390/f12080999.
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In order to carry out activities aimed at conservation and rational use of forest resources; it is necessary to study the main forest-forming plant species in detail. Scots pine (Pinus sylvestris L., Pinaceae) is mainly found in the boreal forests of Eurasia and is not so often encountered in the east of the East European Plain. The aim of the study was to study the genetic diversity, structure and differentiation of Scots pine populations in the east of the East European Plain. We studied ten populations of P. sylvestris using the Inter Simple Sequence Repeats (ISSR)-based DNA polymorphism detection method. Natural populations are demonstrated by relatively high rates of genetic diversity (He = 0.167; ne = 1.279; I = 0.253). At the same time, there is a tendency for a decrease in the genetic diversity of the studied populations of P. sylvestris from west to east. Analysis of the genetic structure shows that the studied populations are highly differentiated (GST = 0.439), the intrapopulation component accounts for about 56% of the genetic diversity. Using various algorithms for determining the spatial genetic structure, it is found that the studied populations form two groups of populations in accordance with geographic location. With the help of a genetic originality coefficient, populations with specific and typical gene pools are identified. They are recommended as sources of genetic diversity and reserves for the conservation of genetic resources of the species.
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Mousazadeh Abbassi, Noraddin, Mohammad Ali Aghaei, and Mahdi Moradzadeh Fard. "An integrated system based on fuzzy genetic algorithm and neural networks for stock price forecasting." International Journal of Quality & Reliability Management 31, no. 3 (February 25, 2014): 281–92. http://dx.doi.org/10.1108/ijqrm-06-2012-0085.
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Purpose – The aim of this research is to predict the total stock market index of the Tehran Stock Exchange, using the compound method of fuzzy genetics and neural network, in order for the active participants of the finance market as well as macro decision makers to be able to predict the market trend. Design/methodology/approach – First, the prediction was done by neural network, then the output weight of optimum neural network was taken as standard to repeat this prediction using the genetic algorithm, and then the extracted pattern from the neural network was stated through discernible rules using fuzzy theory. Findings – The main attention of this paper is investors and traders to achieve a method for predicting the stock market. Concerning the results of previous research, which confirms the relative superiority of non-linear models in price index prediction, an appropriate model has been offered in this research by compounding the non-linear method such as fuzzy genetics and neural network. The results indicate superiority of the designed system in predicting price index of the Tehran Stock Exchange. Originality/value – This paper states its originality and value by compounding the non-linear method issues pattern to predict stock market, to encourage further investigation by academics and practitioners in the field.
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L BODNAR. "GENETIC ALGORITHMS IN OPTIMIZATION OF A STRATEGY BRIDGES REPAIR." Bridges and tunnels: Theory, Research, Practice, no. 6 (September 20, 2014): 18–23. http://dx.doi.org/10.15802/bttrp2014/40929.
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Purpose. Scientific research of the model life cycle optimization of the road bridges. Methodology. Theoretical study. Findings. Developed genetic optimization model of the life cycle. Originality. For the first time proposes a new genetic model of optimization in the management of the life cycle of the bridge. Practical value. The model is implemented in AESUM for strategic planning operationof concrete elements of road bridges.
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Sboeva, Yana V. "Assessment of the state of gene pools of Pinus sylvestris L. populations in the east and northeast of the East European Plain." Вестник Пермского университета. Серия «Биология»=Bulletin of Perm University. Biology, no. 4 (2023): 375–84. http://dx.doi.org/10.17072/1994-9952-2023-4-375-384.
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A molecular genetic analysis of horologically related populations of Pinus sylvestris L. was carried out. In the east and northeast of the East European Plain using intermicrosatellite analysis of DNA polymor-phism. Data on the genetic diversity of populations were obtained and the state of their gene pools was assessed. The studied populations of Scots pine have a high genetic diversity (P95= 0.938, HЕ= 0.170, ne= 1.540). Of the 144 DNA fragments, only 3 (0.021%) are rare. The analysis of the share of rare alleles showed that the genetic structure is less balanced in the populations of Verkhnevetluzhskaya (h= 0.254) and Vetluzhsko-Vyatka (h= 0.273). The most balanced genetic structure was observed in the Moloma population (h=0.112) and in the North Vyatka-Uvala population (h=0.127). When assessing the state of gene pools, it was found that the highest values of the coefficient of genetic originality (CSR) were found in the populations of Sysolo-Vychegodskaya (1,164) and Volga-Vetluzhskaya (1.140). This indicates the high specificity of the gene pools of these populations. The lowest values of CLO were determined in the Vetluzhsko-Vyatskaya (0.857) and Volzhsko-Surinskaya (0.875) populations. Analysis of all three groups of indicators of the state of gene pools of populations showed that, taking into account the genetic structure and genetic originality, 6 populations of P. sylvestris have a satisfactory state of gene pools, and two populations (Verkhnevetluzhskaya and Vetluzhsko-Vyatka) have depleted gene pools. When selecting trees for conservation and reforestation, it is necessary to preserve populations with both typical and specific gene pools.
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Rasulova, Umida. "Insoniyat: asliyat va irsiyatning badiiy talqini." Узбекистан: язык и культура 1, no. 1 (April 4, 2024): 33–45. http://dx.doi.org/10.47689/ulac-vol1-iss1-y2024-pp33-45.
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Ijodkorlar, so'z sohirlari zamonaviy nasrga yangi tasvir, ifoda olib kirdilar, hayotni turli rakurslardan turib tasvirlay boshladilar. Ular mavzularni to'ldirib, boyitib boradilar. Ijtimoiy hayotdagi dolzarb muammolarni ijodiy yondashuv asosida kitobxonga yetkazishga harakat qiladilar. Adiblarning badiiy sohadagi izlanishlari, mumtoz an’analar va folklordan unumli foydalanishi, dunyo adabiyotidan o'rganishlari o'z samarasini bermoqda. Dunyo adabiyotshunosligining ilmiy-nazariy talablariga javob beradigan nasr namunalari o'zbek va qirg'iz adabiyotining yaqin tarixidagi mulkiga aylandi. Bu asarlar poetikasida turli yosh, kasb, dunyoqarashga mansub xarakterlar yaratildi. Ular orasida bolalaru kattalar, ishchi-yu xizmatchilar, tentag-u darveshlar, ismsiz qahramon-u g'ayritabiiy go'daklar ham muayyan funksiyani bajarishga yo'naltirildi. Muhimi, asarda insonning mohiyatini teran anglatish, tiynatidagi fazi-lat-u illatlarni har tomonlama kashf etish tamoyili chuqurlashdi. Roman kompozitsiyasida qahramon ongosti jarayonini isyon-u kufr kontrastida aniq badiiy talqin etishga e'tibor ortdi, tashqi faoliyatdan botindagi dard-u iztirobni his ettirishga rag'bat kuchaydi.
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Alnahhal, Mohammed, and Bernd Noche. "A genetic algorithm for supermarket location problem." Assembly Automation 35, no. 1 (February 2, 2015): 122–27. http://dx.doi.org/10.1108/aa-02-2014-018.
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Purpose – This purpose of this paper is to investigate the location problem of supermarkets, feeding by material the mixed model assembly lines using tow trains. It determines the number and the locations of these supermarkets to minimize transportation and inventory fixed costs of the system. Design/methodology/approach – This is done using integer programming model and real genetic algorithm (RGA) in which custom chromosomes representation, two custom mating and two custom mutation operators were proposed. Findings – The performance of RGA is very good since it gives results that are very close or identical to the optimal ones in reasonable CPU time. Research limitations/implications – The study is applicable only if a group of supermarkets feed the same assembly line. Originality/value – For the first time in supermarket location problem, limitation on availability of some areas for possible supermarkets ' locations and capacity of the supermarkets were taken into consideration.
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Huang, Chien-Feng, Tsung-Nan Hsieh, Bao Rong Chang, and Chih-Hsiang Chang. "A study of risk-adjusted stock selection models using genetic algorithms." Engineering Computations 31, no. 8 (October 28, 2014): 1720–31. http://dx.doi.org/10.1108/ec-11-2012-0293.
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Purpose – Stock selection has long been identified as a challenging task. This line of research is highly contingent upon reliable stock ranking for successful portfolio construction. The purpose of this paper is to employ the methods from computational intelligence (CI) to solve this problem more effectively. Design/methodology/approach – The authors develop a risk-adjusted strategy to improve upon the previous stock selection models by two main risk measures – downside risk and variation in returns. Moreover, the authors employ the genetic algorithm for optimization of model parameters and selection for input variables simultaneously. Findings – It is found that the proposed risk-adjusted methodology via maximum drawdown significantly outperforms the benchmark and improves the previous model in the performance of stock selection. Research limitations/implications – Future work considers an extensive study for the risk-adjusted model using other risk measures such as Value at Risk, Block Maxima, etc. The authors also intend to use financial data from other countries, if available, in order to assess if the method is generally applicable and robust across different environments. Practical implications – The authors expect this risk-adjusted model to advance the CI research for financial engineering and provide an promising solutions to stock selection in practice. Originality/value – The originality of this work is that maximum drawdown is being successfully incorporated into the CI-based stock selection model in which the model's effectiveness is validated with strong statistical evidence.
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Wang, Hao, Guangming Dong, and Jin Chen. "Application of genetic programming in the identification of tool wear." Engineering Computations 38, no. 6 (February 2, 2021): 2900–2920. http://dx.doi.org/10.1108/ec-08-2020-0470.
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Purpose The purpose of this paper is building the regression model related to tool wear, and the regression model is used to identify the state of tool wear. Design/methodology/approach In this paper, genetic programming (GP), which is originally used to solve the symbolic regression problem, is used to build the regression model related to tool wear with the strong regression ability. GP is improved in genetic operation and weighted matrix. The performance of GP is verified in the tool vibration, force and acoustic emission data provided by 2010 prognostics health management. Findings In result, the regression model discovered by GP can identify the state of tool wear. Compared to other regression algorithms, e.g. support vector regression and polynomial regression, the identification of GP is more precise. Research limitations/implications The regression models built in this paper can only make an assessment of the current wear state with current signals of tool. It cannot predict or estimate the tool wear after the current state. In addition, the generalization of model has some limitations. The performance of models is just proved in the signals from the same type of tools and under the same work condition, and different tools and different work conditions may have influences on the performance of models. Originality/value In this study, the discovered regression model can identify the state of tool wear precisely, and the identification performances of model applied in other tools are also excellent. It can provide a significant information about the health of tool, so the tools can be replaced or repaired in time, and the loss caused by tool damage can be avoided.
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Yu, Zhengyang. "The originality of Chinoiserie-style garden architecture in England in the XVIII century." Культура и искусство, no. 6 (June 2024): 76–87. http://dx.doi.org/10.7256/2454-0625.2024.6.70772.
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The article "The originality of Chinoiserie-style garden architecture in England in the XVIII century" explores the development and specifics of Chinoiserie style in the landscape architecture of England. Chinoiserie style refers to the use of Chinese motifs and stylistic techniques in European architecture. The aim of the work is to identify the specifics of the arrangement of English gardens and parks in the Chinoiserie style. The subject of the study is the stylistic features of the embodiment of Chinoiserie gardens and parks. The object of the study is parks and garden architecture in the Chinoiserie style in England. The study covers the 18th century, revealing the contribution of individual architects and the influence of Chinese art on the development of garden architecture. The presented analysis demonstrates how architectural styles of Western and Eastern culture can mix. English gardens and parks are evidence of the influence of Chinese aesthetics on landscape gardening, which later spread to continental Europe. In the course of the research, the following methods were mainly used: historical, historical-genetic, historical-comparative. In the study of specific objects of landscape architecture, methods of art criticism analysis were applied — formal, stylistic and comparative methods. The article examines specific English monuments of landscape architecture of the XVIII century taken as examples the Chinoiserie style. The novelty of the study lies in the fact that the features of the Chinoiserie style in the landscape architecture of England were highlighted and a comparison of English architectural objects in the Chinoiserie style with Chinese analogues was carried out. The conducted research revealed the English specifics in the approach to interpreting Chinese designs of gardens and parks and architectural projects in the XVIII century. English gardeners and architects were inspired by Chinese aesthetics and used oriental elements for decoration, but did not follow all architectural canons and traditions. This gave rise to a new Chinoiserie style, a combination of Chinese and European landscape art that spread throughout Europe.
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Vázquez-Elorza, Ariel. "Regional Wealth with Biodiversity and Socioeconomic Marginality." Scientia et PRAXIS 1, no. 01 (April 19, 2021): 9–16. http://dx.doi.org/10.55965/setp.1.01.02.
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Purpose. Mexico is a country with a richness in biodiversity and a high level of Natural Capital throughout the territory; however, the highest concentration is distributed in regions where a population with high levels of marginalization and socioeconomic poverty lives.
Methodology. The characteristics of genetic resources and their sustainable use in conservation require the establishment of cross-cutting strategies in the design and implementation of comprehensive public policies focused on society and the diversity of territories and social needs.
Findings and originality. This reality highlights the relevance of identifying the main elements that characterize the Natural Capital in the environments, mainly in the South Pacific region due to its social and cultural importance. The originality of this document is the analysis of the socioeconomic and marginalization conditions of the population with the most incredible wealth in biodiversity and establish strategies that facilitate the conservation of genetic resources in tune with sustainable social and economic growth in the medium and long term.
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Kidron, Aviv, Shay S. Tzafrir, and Ilan Meshoulam. "The genetic code: HRM internal integration scale." Management Research: Journal of the Iberoamerican Academy of Management 14, no. 3 (November 21, 2016): 298–316. http://dx.doi.org/10.1108/mrjiam-07-2015-0603.
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Purpose The purpose of this paper is to present a scale for measuring internal integration within human resource management (HRM) departments, which is developed and validated in this paper. Thus far, no valid, comprehensive operational instrument for measuring HRM internal integration has been introduced in the literature. Design/methodology/approach The scale items were developed on the basis of a qualitative analysis. The authors recruited 233 HRM professionals from 29 organizations to participate in the survey. In this paper, the authors present evidence of content validity, internal consistency reliability and construct validity that provides support for the use of an HRM internal integration scale. Exploratory factor analysis was conducted to determine the underlying factors that comprise HRM internal integration, while confirmatory factor analysis was used as a confirmatory test of the scale. Findings The results of this study led to the development of a standardized 34-item instrument that can be used for measuring HRM internal integration. Originality/value The use of the scale opens up a new research avenue by focusing on the nature of integration processes, particularly within HRM systems. The scale will allow studies to be compared across various contexts.
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Lee, Chih-Chen, Tingting (Rachel) Chung, and Robert B. Welker. "Behavioral genetics of deception detection performance." Journal of Managerial Psychology 33, no. 1 (February 12, 2018): 106–20. http://dx.doi.org/10.1108/jmp-07-2017-0228.
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Purpose Deception detection is instrumental in business management but professionals differ widely in terms of deception detection performance. The purpose of this paper is to examine the genetic basis of deception detection performance using the classic twin study design and address the research question: how much variance in individual differences in deception detection performance can be accounted for by the variance in genetics vs environmental influences? Design/methodology/approach In total, 192 twins, with 65 pairs of monozygotic (identical) twins and 31 pairs of dizygotic (fraternal) twins participated in an experiment. A series of behavioral genetic analyses were performed. Findings The variability in deception detection performance was largely determined by differences in shared and non-shared environments. Research limitations/implications The subjects were solicited during the Twins Days Festival so the sample selection and data collection were limited to the natural settings in the field. In addition, the risks and rewards associated with deception detection performance in the study are pale in comparison with those in practice. Practical implications Deception detection performance may be improved through training programs. Corporations should continue funding training programs for deception detection. Originality/value This is the first empirical study that examines the complementary influences of genetics and environment on people’s ability to detect deception.
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Sahoo, Laxminarayan, Asoke Kumar Bhunia, and Dilip Roy. "Reliability optimization in stochastic domain via genetic algorithm." International Journal of Quality & Reliability Management 31, no. 6 (May 27, 2014): 698–717. http://dx.doi.org/10.1108/ijqrm-06-2011-0090.
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Purpose – The purpose of this paper is to formulate the reliability optimization problem in stochastic and interval domain and also to solve the same under different stochastic set up. Design/methodology/approach – Stochastic programming technique has been used to convert the chance constraints into deterministic form and the corresponding problem is transformed to mixed-integer constrained optimization problem with interval objective. Then the reduced problem has been converted to unconstrained optimization problem with interval objective by Big-M penalty technique. The resulting problem has been solved by advanced real coded genetic algorithm with interval fitness, tournament selection, intermediate crossover and one-neighbourhood mutation. Findings – A new optimization technique has been developed in stochastic domain and the concept of interval valued parameters has been integrated with the stochastic setup so as to increase the applicability of the resultant solution to the interval valued nonlinear optimization problems. Practical implications – The concept of probability distribution with interval valued parameters has been introduced. This concept will motivate the researchers to carry out the research in this new direction. Originality/value – The application of genetic algorithm is extended to solve the reliability optimization problem in stochastic and interval domain.
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Sharma, Bhanu, Ruppa K. Thulasiram, and Parimala Thulasiraman. "Computing value-at-risk using genetic algorithm." Journal of Risk Finance 16, no. 2 (March 16, 2015): 170–89. http://dx.doi.org/10.1108/jrf-09-2014-0132.
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Purpose – Value-at-risk (VaR) is a risk measure of potential loss on a specific portfolio. The main uses of VaR are in risk management and financial reporting. Researchers are continuously looking for new and efficient ways to evaluate VaR, and the 2008 financial crisis has given further impetus to finding new and reliable ways of evaluating and using VaR. In this study, the authors use genetic algorithm (GA) to evaluate VaR and compare the results with conventional VaR techniques. Design/methodology/approach – In essence, the authors propose two modifications to the standard GA: normalized population selection and strict population selection. For a typical set of simulation, eight chromosomes were used each with eight stored values, and the authors get eight values for VaR. Findings – The experiments using data from four different market indices show that by adjusting the volatility, the VaR computed using GA is more conservative as compared to those computed using Monte Carlo simulation. Research limitations/implications – The proposed methodology is designed for VaR computation only. This could be generalized for other applications. Practical implications – This is achieved with much less cost of computation, and hence, the proposed methodology could be a viable practical approach for computing VaR. Originality/value – The proposed methodology is simple and, at the same time, novel that could have far-reaching impact on practitioners.
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Otter, Maarten, Constance Stumpel, and Therese van Amelsvoort. "Client-centred clinical genetic diagnostics." Advances in Mental Health and Intellectual Disabilities 12, no. 1 (January 2, 2018): 1–10. http://dx.doi.org/10.1108/amhid-06-2017-0025.
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Purpose The purpose of this paper is to establish the value of clinical genetic diagnostics in the lives of people with an intellectual disability (ID), their families, and their primary and professional caregivers. It has been shown that psychologists are more likely to make use of the opportunities offered by clinical genetic diagnostics if they have seen the psychological benefits in their own practice. Moreover, this paper aims to promote the practice of informing people with ID, their families, and other caregivers regarding the current technological advances in genetic diagnostics, thereby allowing these patients to decide for themselves whether to utilise these opportunities. Design/methodology/approach The authors report four case studies in which the psychosocial value to each patient is pivotal. Findings In these four cases, it is clear the medical model can augment the social model by providing an interpretation of its meaningfulness in the lives of the people concerned. Research limitations/implications Case studies alone can have limited scientific significance. This approach examining the significance of clinical genetic diagnosis should be studied further in larger groups. Practical implications It is hoped that psychologists and other professional caregivers will become enthused about the value of clinical genetic diagnostics and will choose to discuss the option of referral for clinical genetic diagnostics with their patients more often. Social implications People with an ID who are seeking mental health care, and their caregivers, should be given the opportunity to take part in the decision regarding whether to use clinical genetic diagnostics, which may even have a destigmatising effect. Originality/value Quality of life may improve for people with an ID seeking mental healthcare and for their caregivers as well by opening up discussion regarding the opportunities presented by clinical genetic diagnostics. The fact that people are able to make their own choices based on their own considerations can have a destigmatising effect.
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Zhang, Han-ye. "An immune genetic algorithm for simple assembly line balancing problem of type 1." Assembly Automation 39, no. 1 (February 4, 2019): 113–23. http://dx.doi.org/10.1108/aa-08-2017-101.
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Purpose The purpose of this study is to develop an immune genetic algorithm (IGA) to solve the simple assembly line balancing problem of type 1 (SALBP-1). The objective is to minimize the number of workstations and workstation load for a given cycle time of the assembly line. Design/methodology/approach This paper develops a new solution method for SALBP-1, and a user-defined function named ψ(·) is proposed to convert all the individuals to satisfy the precedence relationships during the operation of IGA. Findings Computational experiments suggest that the proposed method is efficient. Originality/value An IGA is proposed to solve the SALBP-1 for the first time.
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Tao, Chao, Jing Wan, and Jianliang Ai. "A nonlinear control approach for a hypersonic vehicle." Aircraft Engineering and Aerospace Technology 89, no. 2 (March 6, 2017): 320–29. http://dx.doi.org/10.1108/aeat-06-2013-0119.
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Purpose The purpose of the paper is to design a robust control system for a generic hypersonic vehicle which includes dynamic nonlinear, open loop unstable and parametric uncertainties. Design/methodology/approach For a complex longitudinal model of a generic hypersonic vehicle which includes dynamic nonlinear, open loop unstable and parametric uncertainties, a nonlinear dynamic inverse (NDI) approach combined with proportional differential (PD) control is used to design a strong robust control system to deal with the sensitivity to changes of atmosphere condition. In this way, a simple genetic algorithm is used to search a group of parameters of the control system to satisfy the specific performance indices. Then parametric uncertainties are considered to verify the robustness of the control system. Findings The PD hypersonic vehicle control system using NDI approach can satisfy the specific flight performance. And it has strong robustness under the parametric uncertainties. Originality/value The paper fulfills a complete process of the nonlinear control system design for a generic hypersonic vehicle. And, the simulation results show the efficiency and robustness of the control system.
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Lima, Camila Corado Gabriel, Aline Fernandez Quevedo, Carlos Walmyr de Mattos Oliveira, Yoandry Perez Canizares, Raquel Lopes da Cunda Ruthes, Mr Marcos Breunig, João Paulo Ortiz Miklós, et al. "Unraveling the Complexity of Seizures and Epilepsies: a Multifaceted Approach to Classification, Syndromes, Causes, and Integrated Therapies." Revista de Gestão Social e Ambiental 18, no. 4 (May 23, 2024): e07064. http://dx.doi.org/10.24857/rgsa.v18n4-120.
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Objective: To investigate the clinical diversity, genetic bases, diagnostic complexity, and therapeutic approaches of epileptic syndromes, highlighting recent advances in understanding these disorders. Theoretical Framework: Epileptic syndromes are neurological disorders characterized by recurrent epileptic seizures, resulting from abnormal neuronal activity in the brain, whose classification has evolved towards clinical and genetic criteria. Method: A systematic approach was employed for bibliographic review on epileptic syndromes, consulting biomedical databases and applying strict selection criteria. Studies addressing clinical diversity, genetic bases, and diagnostic complexity were included, followed by qualitative data analysis to identify patterns and gaps in the literature. Results and Discussion: Results reveal evident genetic heterogeneity, with some syndromes exhibiting well-defined genetic bases. Advances in genomics and molecular neurobiology have provided insights into pathogenic mechanisms, despite persistent challenges, including resistance to conventional medications. Implications of the Research: In-depth understanding is crucial for accurate diagnosis and effective therapeutic development, emphasizing the continuous need for research to improve clinical outcomes and quality of life for patients. Originality/Value: Highlights recent advances in understanding epileptic syndromes, identifying key areas for future research, and contributing to better comprehension and quality of life for affected patients.
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I, Ghaddab, Bergaoui H, Toumi D, Zouari I, El Ouaer M, Ben Farhat I, Mnejja A, et al. "Cerebro-Oculo-Facio-Skeletal (COFS) Syndrome: Case Report." SAS Journal of Medicine 10, no. 10 (October 11, 2024): 1101–5. http://dx.doi.org/10.36347/sasjm.2024.v10i10.021.
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Cerebro-oculo-facio-skeletal (COFS) syndrome is an autosomal recessive genetic degenerative disorder of the brain and spinal cord that begins before birth. The originality of our clinical case is that the diagnosis of COFS was made in a 25 weeks and 5 days, on the basis of antenatal imagery data (ultrasound and specific MRI), namely an overall atrophy of the cerebral parenchyma and Ponto-cerebella under arachnoidians with cataract.
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Han, Wei, Mi Zhang, Xue Feng, Guihua Gong, Kaiping Peng, and Dan Zhang. "Genetic influences on creativity: an exploration of convergent and divergent thinking." PeerJ 6 (July 30, 2018): e5403. http://dx.doi.org/10.7717/peerj.5403.
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Previous studies on the genetic basis of creativity have mainly focused on the biological mechanisms of divergent thinking, possibly limiting the exploration of possible candidate genes. Taking a cognition-based perspective, the present study investigated the genetic basis for both the divergent and the convergent thinking components of creativity. A total of 321 Chinese university students were recruited to complete the Guildford Unusual Using Test (UUT) for divergent thinking capability and the Remote Associates Test (RAT) for convergent thinking capability. The polymorphism of rs2576037 in KATNAL2 was related to the fluency and originality component scores of UUT, and the polymorphism of rs5993883 in COMT, rs362584 in SNAP25 was related to the RAT performance. These effects remained significant after considering the influence of age, gender and intelligence. Our results provide new evidence for the genetic basis of creativity and reveal the important role of gene polymorphisms in divergent and convergent thinking.
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Yao, Yuchun, Yan Wang, Lining Xing, and Hao Xu. "An optimization method of technological processes to complex products using knowledge-based genetic algorithm." Journal of Knowledge Management 19, no. 1 (February 9, 2015): 82–94. http://dx.doi.org/10.1108/jkm-11-2014-0454.
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Purpose – This paper applies the knowledge-based genetic algorithm to solve the optimization problem in complex products technological processes. Design/methodology/approach – The knowledge-based genetic algorithm (KGA) is defined as a hybrid genetic algorithm (GA) which combined the GA model with the knowledge model. The GA model searches the feasible space of optimization problem based on the “neighborhood search” mechanism. The knowledge model discovers some knowledge from the previous optimization process, and applies the obtained knowledge to guide the subsequent optimization process. Findings – The experimental results suggest that the proposed KGA is feasible and available. The effective integration of GA model and knowledge model has greatly improved the optimization performance of KGA. Originality/value – The technological innovation of complex products is one of effective approaches to establish the core competitiveness in future. For this reason, the KGA is proposed to the technological processes optimization of complex products.
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Zhang, Zhe, and Yue Dai. "Combination classification method for customer relationship management." Asia Pacific Journal of Marketing and Logistics 32, no. 5 (July 24, 2019): 1004–22. http://dx.doi.org/10.1108/apjml-03-2019-0125.
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Purpose For classification problems of customer relationship management (CRM), the purpose of this paper is to propose a method with interpretability of the classification results that combines multiple decision trees based on a genetic algorithm. Design/methodology/approach In the proposed method, multiple decision trees are combined in parallel. Subsequently, a genetic algorithm is used to optimize the weight matrix in the combination algorithm. Findings The method is applied to customer credit rating assessment and customer response behavior pattern recognition. The results demonstrate that compared to a single decision tree, the proposed combination method improves the predictive accuracy and optimizes the classification rules, while maintaining interpretability of the classification results. Originality/value The findings of this study contribute to research methodologies in CRM. It specifically focuses on a new method with interpretability by combining multiple decision trees based on genetic algorithms for customer classification.
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Zemliak, Alexander. "A modified genetic algorithm for system optimization." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 41, no. 1 (December 7, 2021): 499–516. http://dx.doi.org/10.1108/compel-08-2021-0296.
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Purpose In this paper, the previously developed idea of generalized optimization of circuits for deterministic methods has been extended to genetic algorithm (GA) to demonstrate new possibilities for solving an optimization problem that enhance accuracy and significantly reduce computing time. Design/methodology/approach The disadvantages of GAs are premature convergence to local minima and an increase in the computer operation time when setting a sufficiently high accuracy for obtaining the minimum. The idea of generalized optimization of circuits, previously developed for the methods of deterministic optimization, is built into the GA and allows one to implement various optimization strategies based on GA. The shape of the fitness function, as well as the length and structure of the chromosomes, is determined by a control vector artificially introduced within the framework of generalized optimization. This study found that changing the control vector that determines the method for calculating the fitness function makes it possible to bypass local minima and find the global minimum with high accuracy and a significant reduction in central processing unit (CPU) time. Findings The structure of the control vector is found, which makes it possible to reduce the CPU time by several orders of magnitude and increase the accuracy of the optimization process compared with the traditional approach for GAs. Originality/value It was demonstrated that incorporating the idea of generalized optimization into the body of a stochastic optimization method leads to qualitatively new properties of the optimization process, increasing the accuracy and minimizing the CPU time.
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Yang, Xue, Li Yu, and Xiao-Shun Zhao. "Optimization of the reefed parachute using genetic algorithm." Engineering Computations 34, no. 6 (August 7, 2017): 1923–38. http://dx.doi.org/10.1108/ec-05-2016-0163.
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Purpose The purpose of this paper is to find optimal reef parameters to minimize the maximum instantaneous opening load for a reefed parachute with geometry and environmental parameters given in the model. Design/methodology/approach The dynamic model Drop Test Vehicle Simulation (DTVSim) is used to model the inflation and descent of the reefed parachute system. It is solved by the fourth-order Runge–Kutta method, and the opening load values are thereby obtained. A parallel genetic algorithm (GA) code is developed to optimize the reefed parachute. A penalty scheme is used to have the maximum dynamic pressure restricted within a certain range. Findings The simulation results from DTVSim fit well with experimental data from drop tests, showing that the simulator has high accuracy. The one-stage and two-stage reefed parachute systems are optimized by GA and their maximum opening loads are decreased by 43 and 25 per cent, respectively. With the optimal reef parameters, two of the peaks in the opening load curve are almost equal. The velocity, loiter time and flight path angle of the parachute system all change, but these changes have no negative effect on the parachute’s operational performance. Originality/value An optimization method for reefed parachute design is proposed for the first time. This methodology can be used in the preliminary design phase for a reefed parachute system and significantly improve design efficiency.
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Humeniuk, Olga M. "Genre and Style Originality of Ukrainian Folk Duma and the Issues of its Contemporary Researching." Vestnik slavianskikh kul’tur [Bulletin of Slavic Cultures] 66 (2022): 161–69. http://dx.doi.org/10.37816/2073-9567-2022-66-161-169.
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Among the epic genres of Ukrainian folklore, duma occupies a special place. Genetically connected with such traditional genres as bylina (epic story), lamentation, spell and other earlier varieties of folk oral poetry, it spreads mainly in the 17th and 18th centuries. However, later, it continues to exist in folklore and actively influences the literary process that can be vividly observed in the works by Taras Shevchenko and other writers of the 19th century. Contemporary authors productively employ and develop characters, motifs and style profoundness of this ancient genre. Genesis of duma to our time remains an actual problem. Its persistence in the tradition of Kievan Rus culture has been pointed out by M. Maksymovych, M. Hrushevsky and other researchers. The poetics of dumas, particularly their artistic structure, has been explored quite substantially, although this research is far from exhaustive. What strikes one’s eye right from the first acquaintance with dumas is the non-strophic composition. This uninhibited verse flow, as if not limited by anything, distinctively echoes an unceasing flow of life. Resembling the dynamics of recreated highly dramatic events, it contributes to emotional expressiveness, as well as to meditative reflections of their poetic comprehension. At the same time, F. Kolessa, followed by other researchers, noticed more or less detached periods (tirades, fragments) of this generally free non-strophic flow. These periods clearly represent a specific structure of such verse. They principally have quite an appreciable prosodic tint in a musical text, and also their own specifics in a verbal text. This specificity — primarily by the example of concrete works — is expected to become the subject matter of thorough research. A subtle combination of long and shorter lines, alternation between diverse regular rhythms and no less diverse rhythms of a free, often queer nature — all this gives a particular vividness to the texts of dumas. These are the evidence of that uniqueness, which was discussed by T. Shevchenko in regard to Ukrainian duma, and to which many researchers drew our attention. However, this unquestionable uniqueness doesn’t contradict the genetic and typological bond of Ukrainian folk dumas and world epic tradition.
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Osimani, Barbara. "Causing something to be one way rather than another." Kybernetes 43, no. 6 (May 27, 2014): 865–81. http://dx.doi.org/10.1108/k-07-2013-0149.
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Purpose – The purpose of this paper is to suggest a definition of genetic information by taking into account the debate surrounding it. Particularly, the objections raised by Developmental Systems Theory (Griffiths, 2001; Oyama 1985; Griffiths and Knight 1998) to Teleosemantic endorsements of the notion of genetic information (Sterelny et al. 1996; Maynard Smith, 2000; Jablonka, 2002) as well as deflationist approaches which suggest to ascribe the notion of genetic information a heuristic value at most, and to reduce it to that of causality (Godfrey-Smith, 2000; Boniolo, 2003, 2008). Design/methodology/approach – The paper presents the notion of genetic information through its historical evolution and analyses it with the conceptual tools offered by philosophical theories of causation on one side (“causation as influence,” Woodward, 2010; Waters, 2007; Lewis, 2000) and linguistics on the other (“double articulation” Martinet, 1960). Findings – The concept of genetic information is defined as a special kind of cause which causes something to be one way rather than another, by combining elementary units one way rather than another. Tested against the notion of “genetic error” this definition demonstrates to provide an exhaustive account of the common denominators associated with the notion of genetic information: causal specificity; combinatorial mechanism; arbitrariness. Originality/value – The definition clarifies how the notion of information is understood when applied to genetic phenomena and also contributes to the debate on the notion of information, broadly meant, which is still affected by lack of consensus (Floridi, 2013).
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Mizernaya, M. A., B. A. Dyachkov, A. P. Pyatkova, A. P. Miroshnikova, and Z. I. Chernenko. "Leading genetic types of base metal deposits of Rudny Altai." Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, no. 2 (2021): 11–16. http://dx.doi.org/10.33271/nvngu/2021-2/011.
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Purpose. Study on the processes contributing to the formation of pyrite-polymetallic mineralization in the Rudny Altai, development of recommendations for directions for further research. Methodology. Analysis of literature and fund materials, field studies within known ore fields and deposits, sampling and laboratory studies: spectral analysis, studies on the chemical composition of host rocks (ISP-MS Agilent 7500cx), study on the mineral composition of the main types of mineralization (JSM 6390LV)). Findings. A model of pyrite-polymetallic mineralization genetically related to the Devonian basalt-andesite-rhyolite Early Hercynian riftogenic volcanism (D1e-D3fr) was developed. Originality. The spatial confinement of a number of industrial deposits, areas of sulfide mineralization and near-ore-hydrothermally altered rocks to the areas of pinching out of inter- and sub-stratal subvolcanic porphyries of the Middle Upper Devonian and overlying porphyrites, creating a kind of ore-magmatic systems (OMS), has been established. Practical value. A new stage of deep geological study on the territory of the Rudny Altai and promising ore-bearing structures with the introduction of modern methods of deep geological and mineragenic mapping is recommended.
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Hasan Abdallah, Ola Belal, and Priy Brat Dwivedi. "OPTIMIZATION OF PHARMACEUTICAL WASTEWATER TREATMENT BY BIOSORPTION USING GENETIC ALGORITHM." Green Chemistry & Technology Letters 6, no. 2 (January 24, 2021): 31–38. http://dx.doi.org/10.18510/gctl.2020.624.
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Purpose of the study: Optimizing the process of pharmaceutical wastewater treatment by biosorption using a genetic algorithm.
Methodology: The main steps followed were, determination of the wavelength at maximum absorbance (λmax), drawing the calibration curve between the absorbance and the concentration of diclofenac sodium, designing the experiment using Design-Expert software, finding the percentage removal of diclofenac sodium for each run, obtaining the model equation of the analysis, finding the optimized condition using genetic algorithm in MATLAB software, running the experiment at the optimized conditions and analyzing the results.
Main Findings: The technique used in the optimizing process was effective, in which the percentage removal was obtained as 8.73% at the optimized conditions. It was equivalent to 3.43 mg removal / g of activated carbon.
Applications of this study: This technique can be applied in different industries especially the chemical and pharmaceutical industries.
Novelty/Originality of this study: Using genetic algorithm in order to find the optimized condition of removing diclofenac sodium based on a set of data.
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Farahat, Said, Seyyed Morteza Javadpour, Hesamodin Ebnodin Hamidi, and Ebrahim Kadivar. "Optimization of a supersonic wind tunnel diffuser using genetic algorithm." Engineering Computations 32, no. 6 (August 3, 2015): 1691–707. http://dx.doi.org/10.1108/ec-04-2014-0077.
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Purpose – The purpose of this paper is to find the optimum design of diffuser of supersonic wind tunnel in order to access the minimum overall pressure drop in wind tunnel, using evolutionary algorithm. Design/methodology/approach – The authors developed a genetic algorithm (GA) code to calculate the shape of a diffuser with flexible walls in order to have the maximum pressure recovery. The two-dimensional turbulent and compressible flow was analyzed numerically using shear-stress transport and Advection Upstream Splitting Method (AUSM)+ turbulence models and its optimization with GA. Findings – The results of this study indicate that elitist GA promises a powerful method for optimization of the wind tunnel diffuser. Separation zone is reduced by 22.2 percent at the convergent part of diffuser and 56 percent at the divergent part of diffuser. The efficiency of new optimized wind tunnel diffuser increased by 83 percent in comparison to the sample of supersonic wind tunnel. Originality/value – It has been observed that AUSM+ method and shape design optimization using GA are robust and efficient technique to optimize wind tunnel diffuser.
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Sato, Yuji, and Mikiko Sato. "Parallelization and sustainability of distributed genetic algorithms on many-core processors." International Journal of Intelligent Computing and Cybernetics 7, no. 1 (March 4, 2014): 2–23. http://dx.doi.org/10.1108/ijicc-06-2013-0033.
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Purpose – The purpose of this paper is to propose a fault-tolerant technology for increasing the durability of application programs when evolutionary computation is performed by fast parallel processing on many-core processors such as graphics processing units (GPUs) and multi-core processors (MCPs). Design/methodology/approach – For distributed genetic algorithm (GA) models, the paper proposes a method where an island's ID number is added to the header of data transferred by this island for use in fault detection. Findings – The paper has shown that the processing time of the proposed idea is practically negligible in applications and also shown that an optimal solution can be obtained even with a single stuck-at fault or a transient fault, and that increasing the number of parallel threads makes the system less susceptible to faults. Originality/value – The study described in this paper is a new approach to increase the sustainability of application program using distributed GA on GPUs and MCPs.
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Bourazza, Said. "A New Manner of Crossing in the Genetic Algorithm for Resolving Job Shop Problem (JSP)." WSEAS TRANSACTIONS ON COMPUTER RESEARCH 8 (May 19, 2020): 39–43. http://dx.doi.org/10.37394/232018.2020.8.7.
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The minimization of the makespan of the job shop problem with J jobs and M machines is NP-hard problem. To resolve it we apply a genetic algorithm [1,2]. We use a real coding for the representation of chromosomes. The originality of our variant lies by the choice of two effective crossover operators and one for mutation, As well as their respective probability, determined by numeric simulations on several examples known in the literature. We compare our results on ''OR library'' benchmarks [3] with Adamas and al. [4], Ombuki and al [5] and Yamada and al [6] results.
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Krank, Eduard Osvaldovich. "Thomas Winterberg's Danish Experiments." Ethnic Culture 3, no. 1 (March 25, 2021): 48–57. http://dx.doi.org/10.31483/r-98023.
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The article is devoted to the work of the Danish film director T. Winterberg. The aim of the article is to study the plot originality of the stories told by T. Winterberg by methods of cinema, to understand the genre specificity of his films, highlighting the experiment as the most significant component of their artistic and mental originality. Descriptive, hermeneutic, diachronic, historical-genetic, comparative, analytical and biographical methods, used in a complex manner, allow one to come to certain conclusions. These conclusions are that T. Winterberg's cinematography relies on experiment as a way of plotting, which determines the genre character of the director's films. This is confirmed by the luck that accompanied exactly those films of T. Winterberg, which are built on Danish material, and the much less success of films created on plots that are associated with other toposes (Soviet, American, British). T. Winterberg became world famous after the release of the film "Family Celebration", made within the framework of such originally Danish phenomenon as «Dogma-95». Collation of the author's manner of T. Winterberg with the master of Danish (and world) cinema and originator of «Dogma» L. von Trier allows us to compare the ways of organizing the narrative of two famous film directors: if L. von Trier's films are based on provocation, then T. Winterberg – exactly on experiment. Being rooted on national soil, this experiment transcends ethnic narrow-mindedness itself, acquiring a universal, between-national character.
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Wadovski, Rodolfo, Roberto Nogueira, and Paula Chimenti. "Genetic services diffusion in the precision medicine ecosystem." International Journal of Pharmaceutical and Healthcare Marketing 14, no. 4 (July 15, 2020): 533–60. http://dx.doi.org/10.1108/ijphm-02-2019-0010.
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Purpose Genetic knowledge is advancing steadily while at the same time DNA sequencing prices are dropping fast, but the diffusion of genetic services (GS) has been slow. The purpose of this paper is to identify GS diffusion drivers in the precision medicine (PM) ecosystem. Design/methodology/approach After reviewing the literature on innovation diffusion, particularly on GS diffusion, the PM ecosystem actors are interviewed to obtain their perspective. Using content analysis, the interviewees’ visions were interplayed with the literature to achieve driver conceptualization, which posteriorly originated broad themes. Findings The results indicate that GS diffusion depends on satisfying aspects from three broad themes and respective drivers: technology (evidence strength and credibility, customization, knowledge, data and information, tech evolution speed and cost), human (ethics, privacy and security and user power) and business (prevention, holistic view of the individual, public policy and regulation, business model and management). Practical implications The main management implications refer to considering health care in a multidisciplinary way, investing in the propagation of genetic knowledge, standardizing medical records and interpreting data. Originality/value This study, to the best of authors’ knowledge, is the first attempt to understand GS diffusion from a broad perspective, taking into account the PM stakeholders’ view. The 13 drivers offer a comprehensive understanding of how GS could spread in health care and they can assist researchers and practitioners to discuss and set strategies based on an initial structured map.
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Yoo, Myungryun, and Takanori Yokoyama. "GENETIC ALGORITHM WITH TWO OBJECTIVE FOR REAL-TIME TASK SCHEDULING WITH COMMUNICATION TIME." International Journal of Students' Research in Technology & Management 6, no. 1 (April 4, 2018): 14–17. http://dx.doi.org/10.18510/ijsrtm.2018.613.
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Purpose of the study:The real-time task scheduling on multiprocessor system is known as an NP-hard problem. This paper proposes a new real-time task scheduling algorithmwhich considers the communication time between processors and the execution order between tasks.
Methodology:Genetic Algorithm (GA)with Adaptive Weight Approach (AWA) is used in our approach.
Main Findings:Our approach has two objectives. The first objective is to minimize the total amount of deadline-miss. And the second objective is to minimize the total number of processors used.
Applications of this study:For two objectives,the range of each objective is readjusted through Adaptive Weight Approach (AWA) and more useful result is obtained.
Novelty/Originality of this study:This study never been done before.This study also wasprovided current information about scheduling algorithm and heuristics algorithm.
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Zhang, Kele. "Energy-saving parameterized design of buildings based on genetic algorithm." International Journal of Building Pathology and Adaptation 38, no. 5 (March 29, 2020): 785–95. http://dx.doi.org/10.1108/ijbpa-05-2019-0050.
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PurposeWith the problem of environment and energy becoming prominent, energy conservation and emission reduction have received more attention. In the using process, buildings not only have the inherent energy consumption but also have the energy consumption of equipment that is installed for improving the indoor environment. This study aims to investigate how to reduce the energy consumption of buildings through utilizing natural resources.Design/methodology/approachThis paper briefly introduces three objective functions in the building energy-saving model: building energy consumption, natural lighting and natural ventilation. Genetic algorithm was used to optimize the building parameters to achieve energy conservation and comfort improvement. Then a two-story rental building was analyzed.FindingsThe genetic algorithm converged to Pareto optimal solution set after 10,000 times of iterations, which took 61024 s. The lowest energy consumption of the scheme that was selected from the 70 optimal solutions was 5580 W/(m2K), the lighting coefficient was 5.56% and Pressure Difference Pascal Hours (PDPH) was 6453 h; compared with the initial building parameters, the building energy consumption reduced by 3.40%, the lighting coefficient increased by 11.65% and PDPH increased by 9.54%.Originality/valueIn short, the genetic algorithm can effectively optimize the energy-saving parameters of buildings.
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Sakhuja, Sumit, Vipul Jain, Sameer Kumar, Charu Chandra, and Sarit K. Ghildayal. "Genetic algorithm based fuzzy time series tourism demand forecast model." Industrial Management & Data Systems 116, no. 3 (April 11, 2016): 483–507. http://dx.doi.org/10.1108/imds-05-2015-0165.
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Purpose – Many studies have proposed variant fuzzy time series models for uncertain and vague data. The purpose of this paper is to adapt a fuzzy time series combined with genetic algorithm (GA) to forecast tourist arrivals in Taiwan. Design/methodology/approach – Different cases are studied to understand the effect of variation of fuzzy time series order, number of intervals and population size on the fitness function which decreases with increase in fuzzy time series order and number of fuzzy intervals, but do not have marginal effect due to change in population size. Findings – Results based on an example of forecasting Taiwan’s tourism demand was used to verify the efficacy of proposed model and confirmed its superiority to existing models providing solutions for different orders of fuzzy time series, number of intervals and population size with a smaller forecasting error as measured by root mean square error. Originality/value – This study provides a viable forecasting methodology, adapting a fuzzy time series combined with an evolutionary GA. The proposed hybridized framework of fuzzy time series and GA, where GA is used to calibrate fuzzy interval length, is flexible and replicable to many industrial situations.
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Ilinov, Aleksey A., and Boris V. Raevsky. "Genetic diversity of Scots pine trees of different selection categories in plus stands of Karelia." Ecological genetics 19, no. 1 (March 15, 2021): 23–35. http://dx.doi.org/10.17816/ecogen50176.
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Background: Genetic control is necessary at all stages of forest selection for the effective use of objects of unified genetic-selection complex (UGSC). This is particularly important for performing a breeding inventory. The aim of the present study was to evaluate the genetic variability of trees of different selection categories in several plus stands of Scots pine.
Materials and methods: 116 trees of Scots pine of various selection categories have been selected from four plus stands within the middle taiga subzone of Karelia. The analysis of the pine samples had been performed using four nuclear SSR loci tests. DNA fragments were separated on a sequencer CEQ 8000. The main criteria of the genetic diversity and F-statistics were calculated. The genetic structure of the selection groups was evaluated using the coefficient of genetic originality (CGO).
Results: All the selection groups evaluated with CGO were characterized by a low content of alleles, which are rare for this part of the Scots pine areal. The plus trees were characterized by a reduced level of genetic diversity (Ho = 0.480.59; He = 0.470.59) as compared to minus (Ho = 0.460.64; He = 0.490.65) and normal trees (Ho = 0.500.69; He = 0.490.65). However, the observed differences between the breeding groups were not statistically significant.
Conclusion: The absence of significant differences between the selection groups indicates the need of a separate assessment of the genetic and economic value of plus trees according to their phenotype. The obtained data is necessary for the organization of objects of UGSC, testing of clonal and seed offspring of plus trees, certification of clones, etc.
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Sieni, Elisabetta, Paolo Di Barba, Fabrizio Dughiero, and Michele Forzan. "Self-adaptive migration NSGA and optimal design of inductors for magneto-fluid hyperthermia." Engineering Computations 35, no. 4 (June 11, 2018): 1727–46. http://dx.doi.org/10.1108/ec-05-2016-0186.
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Purpose The purpose of this paper is to present a modified version of the non-dominated sorted genetic algorithm with an application in the design optimization of a power inductor for magneto-fluid hyperthermia (MFH). Design/methodology/approach The proposed evolutionary algorithm is a modified version of migration-non-dominated sorting genetic algorithms (M-NSGA) that now includes the self-adaption of migration events- non-dominated sorting genetic algorithms (SA-M-NSGA). Moreover, a criterion based on the evolution of the approximated Pareto front has been activated for the automatic stop of the computation. Numerical experiments have been based on both an analytical benchmark and a real-life case study; the latter, which deals with the design of a class of power inductors for tests of MFH, is characterized by finite element analysis of the magnetic field. Findings The SA-M-NSGA substantially varies the genetic heritage of the population during the optimization process and allows for a faster convergence. Originality/value The proposed SA-M-NSGA is able to find a wider Pareto front with a computational effort comparable to a standard NSGA-II implementation.
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Nayebpour, Hamid, and Mohsen Nazem Bokaei. "Customers satisfaction by fuzzy synthetic evaluation and genetic algorithm (case study)." EuroMed Journal of Business 14, no. 1 (April 1, 2019): 31–46. http://dx.doi.org/10.1108/emjb-11-2017-0041.
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Purpose The purpose of this paper is to present a new technique for the determination of effective criteria weight on satisfaction using genetic algorithm and fuzzy synthetic evaluation. Design/methodology/approach The weight values express the relative importance of criteria. In most of research works, weight values depend heavily on expert knowledge, and customer’s perspective have not been considered. The proposed approach determines the criteria weight on satisfaction using genetic algorithm and fuzzy synthetic evaluation considering Euclidean distance between the computed overall satisfaction evaluation and the surveyed overall satisfaction evaluation. Findings The research findings show that different segments of customer have various needs and explain causes of various needs in customers using genetic algorithm and fuzzy synthetic evaluation. Originality/value The value of the paper is in it using a new approach in order to determine the weight of criteria. The main advantage of proposed approach is that it will help managers and researchers to determine the weight of criteria on satisfaction, and this process will no longer just rely on expert knowledge.
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Al-Janan, Dony Hidayat, and Tung-Kuan Liu. "Path optimization of CNC PCB drilling using hybrid Taguchi genetic algorithm." Kybernetes 45, no. 1 (January 11, 2016): 107–25. http://dx.doi.org/10.1108/k-03-2015-0069.
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Purpose – In this study, the hybrid Taguchi genetic algorithm (HTGA) was used to optimize the computer numerical control-printed circuit boards drilling path. The optimization was performed by searching for the shortest route for the drilling path. The number of feasible solutions is exponentially related to the number of hole positions. The paper aims to discuss these issues. Design/methodology/approach – Therefore, a traveling cutting tool problem (TCP), which is similar to the traveling salesman problem, was used to evaluate the drilling path; this evaluation is considered an NP-hard problem. In this paper, an improved genetic algorithm embedded in the Taguchi method and a neighbor search method are proposed for improving the solution quality. The classical TCP problems proposed by Lim et al. (2014) were used for validating the performance of the proposed algorithm. Findings – Results showed that the proposed algorithm outperforms a previous study in robustness and convergence speed. Originality/value – The HTGA has not been used for optimizing the drilling path. This study shows that the HTGA can be applied to complex problems.
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Nayebpur, Hamid, and Mohsen Nazem Bokaei. "Portfolio selection with fuzzy synthetic evaluation and genetic algorithm." Engineering Computations 34, no. 7 (October 2, 2017): 2422–34. http://dx.doi.org/10.1108/ec-03-2017-0084.
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Purpose The purpose of this paper is to present a new technique to portfolio selection using a genetic algorithm (GA) and fuzzy synthetic evaluation (FSE). Portfolio selection is a multi-objective/criteria decision-making problem in financial management. Design/methodology/approach The proposed approach solves the problem in two stages. In the first stage, by using a GA and FSE, the weight of criteria will be calculated. Euclidean distance between the computed overall performance evaluation and the surveyed overall performance evaluation is used to determine the weight of criteria. In the second stage, by using a GA and FSE, portfolios will be prioritized. A multi-objective GA is used to determine return and risk in the efficient frontier. A decision making approach is based on FSE to select the best portfolio from among the solutions obtained by a multi objective GA. Findings The main advantage of the proposed approach is to help an investor to find a portfolio which has best performance, and portfolio selection does not rely on expert knowledge. Originality/value The value of the paper is in it using a new approach to determine the weight of criteria and portfolio selection. It surveys firms’ performance in the stock market, based on which the weight of criteria will be determined and portfolios will be prioritized.
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Holttum, Sue. "Dyslexia: is it genetic and what does this mean for social inclusion?" Mental Health and Social Inclusion 20, no. 4 (November 14, 2016): 202–7. http://dx.doi.org/10.1108/mhsi-08-2016-0024.
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Purpose This paper starts by considering what it means if dyslexia has genetic or environmental causes. The author also explains phrases used by genetic researchers and the kind of things they look for in genetic material. The purpose of this paper is to discuss two recent studies on dyslexia that shed light on either genetic or environmental causes. Design/methodology/approach One study was a thorough exploration of possible genetic differences that could be present in children experiencing reading and language difficulties. The other study examined a large sample of the Canadian public to see whether there was a link between dyslexia and having experienced physical abuse as a child or teenager. Findings The study on genetic differences found no evidence for some previously suggested genetic causes of dyslexia. Although previous studies have suggested dyslexia runs in families, the genetic contribution may have been overestimated. The study on the Canadian public found that people who reported experiencing physical abuse in their younger years were six to seven times more likely also to have a diagnosis of dyslexia. Childhood trauma is known to affect brain development. Originality/value Although this paper only discusses two papers in detail, they are two of the most recent explorations of genetic and environmental links to dyslexia. There could be a case for greater attention to possible traumatic experiences in children identified as dyslexic. Physical abuse is one possibility but should never be assumed. Families can be under strain and may need more support. However, dyslexia and the mental health difficulties that can result from childhood trauma can reduce a child’s current and future social inclusion. Early intervention may avert this outcome.
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Zhulanov, Andrei, Nikita Chertov, Yulia Nechaeva, Viktoriia Pechenkina, Larisa Zhulanova, Svetlana Boronnikova, and Ruslan Kalendar. "Genetic Uniqueness and Genetic Structure of Populations of Picea obovata Ledeb. and Larix sibirica Ledeb. in the Northern and Middle Urals." Forests 14, no. 9 (September 6, 2023): 1822. http://dx.doi.org/10.3390/f14091822.
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Establishing sustainable plantations with genetic diversity equivalent to that of natural populations is vital for successful reforestation efforts. In this study, we present an innovative approach for selecting populations suitable for reforestation, taking into account their genetic uniqueness using Inter Simple Sequence Repeats (ISSR) markers. Our investigation focused on six populations of Picea obovata Ledeb and six populations of Larix sibirica Ledeb, collected from the Northern and Middle Urals. We found that the indicators of genetic diversity were significantly higher in L. sibirica compared to P. obovata, while the number of rare alleles was greater in Siberian spruce (R = 19). Among the P. obovata populations, the Cherdyn’s forestry exhibited notably high genetic diversity, and for L. sibirica, the Gainy’s forestry stood out in this regard. Moreover, the genetic subdivision of the six P. obovata populations (GST = 0.331) was higher than that of the six L. sibirica populations (GST = 0.177). To ensure optimal seed selection considering the genetic originality coefficient (GOC) and population differentiation, we recommend utilizing the P. obovata population from Gainy’s forestry with a GOC of 0.554 and the L. sibirica population from Cherdyn’s forestry with a GOC of 0.372. These populations harbor typical alleles characteristic of the research region, making them ideal candidates for seed selection. Furthermore, the specific alleles identified can serve as valuable markers for determining the geographic origin of P. obovata and L. sibirica wood, aiding in efforts to trace the sources of these species in forestry and trade practices.
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Porumb-Andrese, Elena, Mihaela Monica Scutariu, Ionut Luchian, Thomas Gabriel Schreiner, Ioana Mârţu, Vlad Porumb, Cosmin Gabriel Popa, Darius Sandu, and Ramona Gabriela Ursu. "Molecular Profile of Skin Cancer." Applied Sciences 11, no. 19 (October 1, 2021): 9142. http://dx.doi.org/10.3390/app11199142.
Full textAbstract:
Neoplasia occurs as a result of genetic mutations. Research evaluating the association between gene mutations and skin cancer is limited and has produced inconsistent results. There are no established guidelines for screening skin cancer at molecular level. It should also be noted that the combinations of some mutations may play a role in skin tumors’ biology and immune response. There are three major types of skin cancer, and the originality of this study comes from its approach of each of them.
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Davydova, Tatiana T. "Polemic notes on the literary type of the “little person”: to the question about the “band of titular advisers”." Philological Sciences. Scientific Essays of Higher Education, no. 6 (November 2020): 88–95. http://dx.doi.org/10.20339/phs.6-20.088.
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The appearance of A. Pushkin and the evolution of N. Gogol, M. Lermontov, F. Dostoevsky, A. Chekhov, M. Zoshchenko, E. Zamyatin of the type of “little man” is considered, its originality in the work of each of the writers is revealed. The genetic connections of Gogol’s “St. Petersburg” stories with Hoffmann’s prose are revealed, the image of Bashmachkin is interpreted in the context of L. Shestov’s ideas, and some interpretations of the “little man” type in modern Russian literary criticism are evaluated.
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Shulgin, V. N. "A.I. SOLZHENITSYN AS A SUCCESSOR OF RUSSIAN NATIONAL TRADITION." Izvestiya of Samara Scientific Center of the Russian Academy of Sciences. History Sciences 4, no. 3 (2022): 98–106. http://dx.doi.org/10.37313/2658-4816-2022-4-3-98-106.
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The social and political views of A.I. Solzhenitsyn represent an organic part of the Russian free conservatism tradition that emerged after the French Revolution and matured after the 1812 due to N.M. Karamzin, V.A. Zhukovsky, A.S. Pushkin, F.I. Tyutchev, and their successors. The clear “consonance” of the ideas of A.I. Solzhenitsyn and his predecessors in the Russian tradition of the conservative originality is expressed in their rejection of imitation of Western culture and in the direct “genetic” relationship of their ideas.
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Liu, Wan, Zeyu Li, Li Chen, Dexin Zhang, and Xiaowei Shao. "Design and simulation in SAR satellites’ task planning system using genetic algorithm with entropy operator." Aircraft Engineering and Aerospace Technology 93, no. 7 (August 10, 2021): 1236–42. http://dx.doi.org/10.1108/aeat-11-2020-0247.
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Purpose This paper aims to innovatively propose to improve the efficiency of satellite observation and avoid the waste of satellite resources, a genetic algorithm with entropy operator (GAE) of synthetic aperture radar (SAR) satellites’ task planning algorithm. Design/methodology/approach The GAE abbreviated as GAE introduces the entropy value of each orbit task into the fitness calculation of the genetic algorithm, which makes the orbit with higher entropy value more likely to be selected and participate in the remaining process of the genetic algorithm. Findings The simulation result shows that in a condition of the same calculate ability, 85% of the orbital revisit time is unchanged or decreased and 30% is significantly reduced by using the GAE compared with traditional task planning genetic algorithm, which indicates that the GAE can improve the efficiency of satellites’ task planning. Originality/value The GAE is an optimization of the traditional genetic algorithm. It combines entropy in thermodynamics with task planning problems. The algorithm considers the whole lifecycle of task planning and gets the desired results. It can greatly improve the efficiency of task planning in observation satellites and shorten the entire task execution time. Then, using the GAE to complete SAR satellites’ task planning is of great significance in reducing satellite operating costs and emergency rescue, which brings certain economic and social benefits.