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Artículos de revistas sobre el tema "Genetic originality"

Autor: Grafiati
Publicado: 30 de noviembre de 2024
Última modificación: 31 de julio de 2025

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1

Wisniowska, Magdalena. "Originality and Genesis." Deleuze and Guattari Studies 14, no. 2 (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 bo
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2

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 natur
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3

Boronnikova, S., Yu Vasileva, and Ya. Prishnivskaya. "Estimation of genetic originality of natural populations of two species of woody plant on Ural." Bulletin of Science and Practice 4, no. 5 (2018): 46–59. https://doi.org/10.5281/zenodo.1246062.

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To identify the genetic originality of species of woody plant gene pools was conducted the research of 7 populations of trembling poplar or aspen Populus tremula L., Salicaceae and 9 populations of Siberian Larch Larix sibirica Ledeb., Pinaceae; namely of West race on the Ural. To determine the genetic diversity of populations two species of woody plant was used ISSR–method of fingerprinting. In P. tremula were revealed 119 ISSR–PCR markers, in L. sibirica — 121 ISSR–PСR markers. The groups of genetic characteristics at the level of populations were
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4

Vasilyeva, Yulia, Nikita Chertov, Yulia Nechaeva, et al. "Genetic Structure, Differentiation and Originality of Pinus sylvestris L. Populations in the East of the East European Plain." Forests 12, no. 8 (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 de
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5

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 (2015): 725–29. http://dx.doi.org/10.1134/s1022795415070091.

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6

Rosa, Carlos Eurico Galvão, Gustavo Valentim Loch, and Cassius Tadeu Scarpin. "Genetic Algorithm For Parameter Definition in Forest Harvest Optimization." Revista de Gestão Social e Ambiental 19, no. 4 (2025): e011964. https://doi.org/10.24857/rgsa.v19n4-072.

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Objective: The study aims to explore the use of genetic algorithms for parameter calibration in mathematical modeling for forest harvest optimization, addressing the need for adjustments due to the initial unavailability of essential parameters. Theoretical Framework: The research is based on similar cases requiring parameter calibration using several techniques, genetic algorithms among that technique, as the basis for adjusting mathematical models in forest settings. Method: Utilizing real data on productivity and plot positioning, a mathematical model was constructed, and genetic algorithms
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7

Ghai, Roma, Ashu Mittal, Deepali Pandey, et al. "Role of Personalized Medicine in Clinical Practice: An Overview of Current and Future Perspectives." Biomedical and Pharmacology Journal 17, no. 4 (2024): 2111–33. https://doi.org/10.13005/bpj/3011.

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Drug administration at similar doses in patients can often lead to various clinical responses. It has been hypothesized that genetics primarily accounts for variation in drug efficacy and toxicity in individuals. Personalized medicine has been a breakthrough achieved by the Human Genome Project which contributes to enhancing quality-based patient care. It deals with the customization of medication considering the distinct genetic and proteomic data that underpins the originality of every patient and every instance of therapeutic intervention. Many cases have shown that inter-individual differe
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8

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 (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 rule
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9

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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10

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 Verkhn
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11

Krivopusk, Ekaterina, and Yulian Mavlyutov. "Application of scot markers for evaluation of the genetic variability of blue-grass varieties (Poa pratensis L.)." Adaptive Fodder Production 2024, no. 4 (2025): 18–26. https://doi.org/10.33814/afp-2222-5366-2024-4-18-26.

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The analysis was conducted to assess the inter-varietal genetic polymorphism of Poa pratensis based on PCR technology using nine SCoT markers. The informative primers for variety differentiation have been identified; parameters of genetic diversity were estimated: Shannon’s index, Nei’s genetic diversity index, effective number of alleles and the indicator of the information content of primers (PIC — polymorphism information content). Genetic structure of the analyzed collection was evaluated using the Neighbor-Joining dendrogram and PCoA-analysis. As a result of the research, molecular formul
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12

Miranda, Giovanna Pedroche, and Cleide Aparecida Gomes Rodrigues Fermentão. "Genetic Rights and the Principle of Human Dignity as a Form of Learning." Revista de Gestão Social e Ambiental 19, no. 4 (2025): e012024. https://doi.org/10.24857/rgsa.v19n4-112.

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Objective: It is understood that genetic manipulation is based on the representation of learning and the principle of dignity, moral, social and ethical values as a form of right inherent to human beings (if such principles are respected) as set out in the Federal Constitution of 1988. Thus, this research aims to analyze the area of Genetic Engineering, Biotechnology and the legal effects generated from natural and scientific conceptions about artificial and genetic reproduction constructed in society. Theoretical framework: The study of genetic manipulation includes the analysis of topics suc
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13

Alnahhal, Mohammed, and Bernd Noche. "A genetic algorithm for supermarket location problem." Assembly Automation 35, no. 1 (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 cl
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14

Rasulova, Umida. "Insoniyat: asliyat va irsiyatning badiiy talqini." Узбекистан: язык и культура 1, no. 1 (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 asarl
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15

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 (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 s
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16

Vázquez-Elorza, Ariel. "Regional Wealth with Biodiversity and Socioeconomic Marginality." Scientia et PRAXIS 1, no. 01 (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
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17

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
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18

Lee, Chih-Chen, Tingting (Rachel) Chung, and Robert B. Welker. "Behavioral genetics of deception detection performance." Journal of Managerial Psychology 33, no. 1 (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) t
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19

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 (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 consi
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20

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 (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
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21

Sharma, Bhanu, Ruppa K. Thulasiram, and Parimala Thulasiraman. "Computing value-at-risk using genetic algorithm." Journal of Risk Finance 16, no. 2 (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 po
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22

I, Ghaddab, Bergaoui H, Toumi D, et al. "Cerebro-Oculo-Facio-Skeletal (COFS) Syndrome: Case Report." SAS Journal of Medicine 10, no. 10 (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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23

Lima, Camila Corado Gabriel, Aline Fernandez Quevedo, Carlos Walmyr de Mattos Oliveira, 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 (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
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24

Zhang, Han-ye. "An immune genetic algorithm for simple assembly line balancing problem of type 1." Assembly Automation 39, no. 1 (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. Origina
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25

Tao, Chao, Jing Wan, and Jianliang Ai. "A nonlinear control approach for a hypersonic vehicle." Aircraft Engineering and Aerospace Technology 89, no. 2 (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 geneti
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26

Otter, Maarten, Constance Stumpel, and Therese van Amelsvoort. "Client-centred clinical genetic diagnostics." Advances in Mental Health and Intellectual Disabilities 12, no. 1 (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, there
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27

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
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28

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 (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. Fin
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29

Zhang, Zhe, and Yue Dai. "Combination classification method for customer relationship management." Asia Pacific Journal of Marketing and Logistics 32, no. 5 (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
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30

Osimani, Barbara. "Causing something to be one way rather than another." Kybernetes 43, no. 6 (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/me
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31

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 (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 dete
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32

Yang, Xue, Li Yu, and Xiao-Shun Zhao. "Optimization of the reefed parachute using genetic algorithm." Engineering Computations 34, no. 6 (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 d
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33

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 b
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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 (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
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35

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 (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
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36

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 t
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37

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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38

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 (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
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39

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 (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 f
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40

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 (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
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41

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 (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 o
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42

Holttum, Sue. "Dyslexia: is it genetic and what does this mean for social inclusion?" Mental Health and Social Inclusion 20, no. 4 (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 se
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43

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 (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:
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44

Porumb-Andrese, Elena, Mihaela Monica Scutariu, Ionut Luchian, et al. "Molecular Profile of Skin Cancer." Applied Sciences 11, no. 19 (2021): 9142. http://dx.doi.org/10.3390/app11199142.

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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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45

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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46

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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47

Zhang, Kele. "Energy-saving parameterized design of buildings based on genetic algorithm." International Journal of Building Pathology and Adaptation 38, no. 5 (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
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48

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 (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 base
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49

Nayebpour, Hamid, and Mohsen Nazem Bokaei. "Customers satisfaction by fuzzy synthetic evaluation and genetic algorithm (case study)." EuroMed Journal of Business 14, no. 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 satisfac
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50

Al-Janan, Dony Hidayat, and Tung-Kuan Liu. "Path optimization of CNC PCB drilling using hybrid Taguchi genetic algorithm." Kybernetes 45, no. 1 (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 proble
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