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Journal articles on the topic 'Alternative Genetic System'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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1

Burke, Donald S., Kenneth A. De Jong, John J. Grefenstette, Connie Loggia Ramsey, and Annie S. Wu. "Putting More Genetics into Genetic Algorithms." Evolutionary Computation 6, no. 4 (1998): 387–410. http://dx.doi.org/10.1162/evco.1998.6.4.387.

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The majority of current genetic algorithms (GAs), while inspired by natural evolutionary systems, are seldom viewed as biologically plausible models. This is not a criticism of GAs, but rather a reflection of choices made regarding the level of abstraction at which biological mechanisms are modeled, and a reflection of the more engineering-oriented goals of the evolutionary computation community. Understanding better and reducing this gap between GAs and genetics has been a central issue in an interdisciplinary project whose goal is to build GA-based computational models of viral evolution. Th

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2

Meester, Luc De, Lawrence J. Weider, and Ralph Tollrian. "Alternative antipredator defences and genetic polymorphism in a pelagic predator–prey system." Nature 378, no. 6556 (1995): 483–85. http://dx.doi.org/10.1038/378483a0.

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Chen, Jesse J., Xin Cai, and Jack W. Szostak. "N2′→P3′ Phosphoramidate Glycerol Nucleic Acid as a Potential Alternative Genetic System." Journal of the American Chemical Society 131, no. 6 (2009): 2119–21. http://dx.doi.org/10.1021/ja809069b.

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4

Tkatek, Said, Saadia Bahti, Otman Abdoun, and Jaafar Abouchabaka. "Intelligent system for recruitment decision making using an alternative parallel-sequential genetic algorithm." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 1 (2021): 385. http://dx.doi.org/10.11591/ijeecs.v22.i1.pp385-395.

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<p>The human resources (HR) manager needs effective tools to be able to move away from traditional recruitment processes to make the good decision to select the good candidates for the good posts. To do this, we deliver an intelligent recruitment decision-making method for HR, incorporating a recruitment model based on the multipack model known as the NP-hard model. The system, which is a decision support tool, often integrates a genetic approach that operates alternately in parallel and sequentially. This approach will provide the best recruiting solution to allow HR managers to make th

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Likhoshvai, Vitaly A., Vladislav V. Kogai, Stanislav I. Fadeev, and Tamara M. Khlebodarova. "Alternative splicing can lead to chaos." Journal of Bioinformatics and Computational Biology 13, no. 01 (2015): 1540003. http://dx.doi.org/10.1142/s021972001540003x.

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Alternative splicing is a widespread phenomenon in higher eukaryotes, where it serves as a mechanism to increase the functional diversity of proteins. This phenomenon has been described for different classes of proteins, including transcription regulatory proteins. We demonstrated that in the simplest genetic system model the formation of the alternatively spliced isoforms with opposite functions (activators and repressors) could be a cause of transition to chaotic dynamics. Under the simplest genetic system we understand a system consisting of a single gene encoding the structure of a transcr

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Doronina, J. V. "Improving the Design Efficiency of Complex Systems Based on Reducing the Power of Many Generated Alternatives." Quality and life 27, no. 3 (2020): 27–32. http://dx.doi.org/10.34214/2312-5209-2020-27-3-27-32.

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The article proposes an approach to the structural synthesis of elements of a system-technical complex, which consists in using a modified genetic algorithm and a method for narrowing the cardinality of the sets of alternatives. The modification of the genetic algorithm is implemented as part of a directed mutation operation for three types of the initial elemental composition of the alternative and is used for objects with a given (limited) duration of their life cycle. Application of the proposed approach made it possible to both reduce efforts in obtaining alternatives at the stage of desig

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Boland, M. A., P. V. Preckel, and A. P. Schinckel. "Optimal Hog Slaughter Weights Under Alternative Pricing Systems." Journal of Agricultural and Applied Economics 25, no. 2 (1993): 148–63. http://dx.doi.org/10.1017/s1074070800019039.

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AbstractThree hog genotypes are simulated to determine how producer profits, economically optimal slaughter weights, and carcass component weights change under three pricing models. Live weight pricing pays more for the fatter barrows whereas a three component (separate payments for fat, lean, and byproducts) and six component (separate payments for major primal cuts, other lean, fat, and byproducts) pricing system pay more for the leaner gilts. Implications for selection of genetic stock and pricing system are presented.

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Kim, Sangyong, and Jae Heon Shim. "Combining case-based reasoning with genetic algorithm optimization for preliminary cost estimation in construction industry." Canadian Journal of Civil Engineering 41, no. 1 (2014): 65–73. http://dx.doi.org/10.1139/cjce-2013-0223.

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In this paper, we propose a hybrid case-based reasoning (CBR) system for predicting the construction cost of high-rise buildings at the preliminary design stage. First, the extracted cost factors (CFs) of a high-rise building were shown to significantly improve the cost estimation system’s performance. For developing a CBR system, a hybrid approach that combines CBR with genetic algorithms (GAs) for cost estimation was adopted. Genetic algorithms were used for optimized weight generation and applied to real project cases. Additionally, this paper proposes the identification of an alternative s

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Diwo, Christian, and Nediljko Budisa. "Alternative Biochemistries for Alien Life: Basic Concepts and Requirements for the Design of a Robust Biocontainment System in Genetic Isolation." Genes 10, no. 1 (2018): 17. http://dx.doi.org/10.3390/genes10010017.

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The universal genetic code, which is the foundation of cellular organization for almost all organisms, has fostered the exchange of genetic information from very different paths of evolution. The result of this communication network of potentially beneficial traits can be observed as modern biodiversity. Today, the genetic modification techniques of synthetic biology allow for the design of specialized organisms and their employment as tools, creating an artificial biodiversity based on the same universal genetic code. As there is no natural barrier towards the proliferation of genetic informa

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10

Dormatey, Richard, Chao Sun, Kazim Ali, et al. "ptxD/Phi as alternative selectable marker system for genetic transformation for bio-safety concerns: a review." PeerJ 9 (July 27, 2021): e11809. http://dx.doi.org/10.7717/peerj.11809.

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Antibiotic and herbicide resistance genes are the most common marker genes for plant transformation to improve crop yield and food quality. However, there is public concern about the use of resistance marker genes in food crops due to the risk of potential gene flow from transgenic plants to compatible weedy relatives, leading to the possible development of “superweeds” and antibiotic resistance. Several selectable marker genes such as aph, nptII, aaC3, aadA, pat, bar, epsp and gat, which have been synthesized to generate transgenic plants by genetic transformation, have shown some limitations

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Marchetti, Francesco, and Edmondo Minisci. "Genetic Programming Guidance Control System for a Reentry Vehicle under Uncertainties." Mathematics 9, no. 16 (2021): 1868. http://dx.doi.org/10.3390/math9161868.

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As technology improves, the complexity of controlled systems increases as well. Alongside it, these systems need to face new challenges, which are made available by this technology advancement. To overcome these challenges, the incorporation of AI into control systems is changing its status, from being just an experiment made in academia, towards a necessity. Several methods to perform this integration of AI into control systems have been considered in the past. In this work, an approach involving GP to produce, offline, a control law for a reentry vehicle in the presence of uncertainties on t

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12

Yu, Hanyang, Su Zhang, and John C. Chaput. "Darwinian evolution of an alternative genetic system provides support for TNA as an RNA progenitor." Nature Chemistry 4, no. 3 (2012): 183–87. http://dx.doi.org/10.1038/nchem.1241.

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13

Yang, Zunyi, Daniel Hutter, Pinpin Sheng, A. Michael Sismour, and Steven A. Benner. "Artificially expanded genetic information system: a new base pair with an alternative hydrogen bonding pattern." Nucleic Acids Research 34, no. 21 (2006): 6095–101. http://dx.doi.org/10.1093/nar/gkl633.

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14

Groisman, Irina, and Hanna Engelberg-Kulka. "Translational bypassing: a new reading alternative of the genetic code." Biochemistry and Cell Biology 73, no. 11-12 (1995): 1055–59. http://dx.doi.org/10.1139/o95-113.

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The translation of the genetic code, once thought to be rigid, has been found to be quite flexible, and several alternatives in its reading have been described. An unusual alternative is translational bypassing, a frameshift event where the transition from frame 0 to another frame occurs by translational bypassing of an extended region of the mRNA sequence rather than by slippage past a single nucleotide, as has been described for most examples of frameshifting. Translational bypassing has been characterized in two cases, T4 gene 60 coding for a topoisomerase subunit and in a trpR–lac′Z fusion

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15

Hellerich, Gert. "Nonpsychiatry: An Alternative to Contemporary Mental Health Work." Ethical Human Psychology and Psychiatry 7, no. 2 (2005): 149–58. http://dx.doi.org/10.1891/1559-4343.7.2.149.

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The central theme of this article is nonpsychiatry. The implication of this term is illustrated in the mental health system and its significance is shown as an alternative to the established psychiatry. The article differentiates between genetic and social psychiatry on the one hand and antipsychiatry on the other when dealing with nonpsychiatry. An example of a psychosocial self-help group in Germany illustrates the nonpsychiatric services and strategies.

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16

Roden, J. A. "A simulation study of open nucleus and closed nucleus breeding systems in a sheep population." Animal Science 60, no. 1 (1995): 117–24. http://dx.doi.org/10.1017/s1357729800008213.

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AbstractStochastic simulation was used to compare the results of alternative breeding systems in a sheep population divided into 10 flocks of 120 ewes. The breeding systems compared were selection within closed flocks (CF), a closed nucleus system (CNS), an open nucleus system (ONS) and open nucleus systems with the selection of nucleus replacements being restricted to either nucleus born males (ONSRm) or nucleus born females (ONSRf). Selection was for a best linear unbiased prediction of breeding value for lamb live weight which had a heritability of 0·17. The open nucleus breeding systems (O

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17

Gallese, Vittorio, and Corrado Sinigaglia. "Understanding action with the motor system." Behavioral and Brain Sciences 37, no. 2 (2014): 199–200. http://dx.doi.org/10.1017/s0140525x13002288.

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AbstractWe challenge Cook et al.'s claim about the vagueness of the notion of action understanding in relation with mirror neurons. We show the multidimensional nature of action understanding and provide a definition of motor-based action understanding, shedding new light on the various components of action understanding and on their relationship. Finally, we propose an alternative perspective on the origin of mirror neurons, stressing the necessity to abandon the dichotomy between genetic and associative hypotheses.

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18

Mate, Toth, Szabo Zoltan, and Toth Zoltan. "Alternative method for the transformation of Capsicum species." Journal of Plant Science and Phytopathology 5, no. 1 (2021): 001–3. http://dx.doi.org/10.29328/journal.jpsp.1001053.

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Capsicum (pepper) species have high economic values as vegetable crops and medicinal plants. Most of the Capsicum is known to be recalcitrant to plant regeneration in vitro, and to genetic transformation with Agrobacterium tumefaciens. However, genetic improvement against pathogens requires discovering new pest resistance genes and revealing their functions and mechanism in vitro. The development of improved transformation methods serves this purpose, which needs a binary vector technology carrying the gene of interest to be transferred into the host plants. Agrobacterium rhizogenes mediated t

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Kolesnikov, A. V., and O. P. Fedorov. "SYSTEM OF THE COMPLICATED PRACTICAL PROBLEMS ANALYSIS." Mathematical Modelling and Analysis 7, no. 1 (2002): 83–92. http://dx.doi.org/10.3846/13926292.2002.9637181.

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The original methodology of the system analysis of the inhomogeneous problem is offered, including stages of its reducing to homogeneous parts and selecting for them appropriate toolkits: methods and models. This system applies the accumulated knowledge and the experts skills to refer of each homogeneous problem to one or several alternative classes of modelling methods: analytical methods, statistical methods, artificial neuronets, knowledge based systems, fuzzy systems, genetic algorithms. The knowledge base testing has shown sufficiency and consistency of knowledge for realization of the in

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Dziurzanski, Piotr, Shuai Zhao, Sebastian Scholze, Albert Zilverberg, Karl Krone, and Leandro Soares Indrusiak. "Process planning and scheduling optimisation with alternative recipes." at - Automatisierungstechnik 68, no. 2 (2020): 140–47. http://dx.doi.org/10.1515/auto-2019-0104.

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AbstractThis paper considers an application of a new variant of a multi-objective flexible job-shop scheduling problem, featuring multisubset selection of manufactured recipes, to a real-world chemical plant. The problem is optimised using a multi-objective genetic algorithm with customised mutation and elitism operators that minimises both the total production time and the produced commodity surplus. The algorithm evaluation is performed with both random and historic manufacturing orders. The latter demonstrated that the proposed system can lead to more than 10 % makespan improvements in comp

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21

GIANOLA, DANIEL, and GUSTAVO de los CAMPOS. "Inferring genetic values for quantitative traits non-parametrically." Genetics Research 90, no. 6 (2008): 525–40. http://dx.doi.org/10.1017/s0016672308009890.

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SummaryInferences about genetic values and prediction of phenotypes for a quantitative trait in the presence of complex forms of gene action, issues of importance in animal and plant breeding, and in evolutionary quantitative genetics, are discussed. Current methods for dealing with epistatic variability via variance component models are reviewed. Problems posed by cryptic, non-linear, forms of epistasis are identified and discussed. Alternative statistical procedures are suggested. Non-parametric definitions of additive effects (breeding values), with and without employing molecular informati

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22

Li, Lu, and Zhong Fu Tan. "Optimization Design of Wind/Photovoltaic Hybrid Power Systems Based on Genetic Algorithms." Applied Mechanics and Materials 278-280 (January 2013): 1692–95. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.1692.

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Wind power and solar energy power are clean, abundant and renewable. Wind power and photovoltaic power are important alternative energy in the world, which will contribute to adjusting energy structures and protecting environments. The genetic algorithm has the characteristics of automatic optimization and approaches the simulate stuff illimitably. Also, there has no use for accurate model on questions, which is very suitable in the non-linear system. The wind/photovoltaic hybrid systems consist with wind power generation units, photovoltaic matrix, storage battery, diesel engine and data coll

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23

Roden, J. A. "A comparison of alternative nucleus breeding systems and a sire referencing scheme for sheep improvement." Animal Science 62, no. 2 (1996): 265–70. http://dx.doi.org/10.1017/s1357729800014569.

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AbstractStochastic simulation was used to compare selection response and rate of inbreeding in four nucleus breeding systems and a sire referencing scheme for sheep: an open nucleus system (ONS), an open nucleus system with sequential selection of the nucleus (ONS-S), a sire referencing scheme (SRS) and a dispersed open nucleus system (DONS). Selection was based on best linear unbiased prediction of breeding values for a single trait measurable on all individuals prior to selection. Selection in a population of 1200 ewes equally divided into 10 flocks was simulated over a 15-year period. The m

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Gee, Peter, Huaigeng Xu, and Akitsu Hotta. "Cellular Reprogramming, Genome Editing, and Alternative CRISPR Cas9 Technologies for Precise Gene Therapy of Duchenne Muscular Dystrophy." Stem Cells International 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/8765154.

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In the past decade, the development of two innovative technologies, namely, induced pluripotent stem cells (iPSCs) and the CRISPR Cas9 system, has enabled researchers to model diseases derived from patient cells and precisely edit DNA sequences of interest, respectively. In particular, Duchenne muscular dystrophy (DMD) has been an exemplary monogenic disease model for combining these technologies to demonstrate that genome editing can correct genetic mutations in DMD patient-derived iPSCs. DMD is an X-linked genetic disorder caused by mutations that disrupt the open reading frame of the dystro

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De Luca, V., R. De Souza, E. Viggiano, et al. "Genomics, Transcriptomics and Methylomics: Alternative Approaches for the Analysis of Serotonin System and Antipsychotic Response." European Psychiatry 24, S1 (2009): 1. http://dx.doi.org/10.1016/s0924-9338(09)71236-2.

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Serotonin receptors blockade is the major basis for the action of atypical antipsychotic drugs. Genetic factors affecting the density and/or function of serotonergic receptors, transporters and enzymes may therefore affect antipsychotic response. This exploratory study investigates the effect of ten polymorphisms from HTR1A, HTR1D, HTR2A, HTR3A, HTR3B, HTR4, HTR6, SLC6A4, TPH1, TPH2 genes on antipsychotic response in a sample of 289 patients with DSM-diagnosis of schizophrenia. Clinical Response was assessed using Brief Psychiatric Rating Scale (BPRS). Response was determined as 20% reduction

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Dou, Jiajia, Chunlin Chen, and Pei Yang. "Genetic Scheduling and Reinforcement Learning in Multirobot Systems for Intelligent Warehouses." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/597956.

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A new hybrid solution is presented to improve the efficiency of intelligent warehouses with multirobot systems, where the genetic algorithm (GA) based task scheduling is combined with reinforcement learning (RL) based path planning for mobile robots. Reinforcement learning is an effective approach to search for a collision-free path in unknown dynamic environments. Genetic algorithm is a simple but splendid evolutionary search method that provides very good solutions for task allocation. In order to achieve higher efficiency of the intelligent warehouse system, we design a new solution by comb

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Dutta, Pijush, and Asok Kumar. "Modelling of Liquid Flow control system Using Optimized Genetic Algorithm." Statistics, Optimization & Information Computing 8, no. 2 (2020): 565–82. http://dx.doi.org/10.19139/soic-2310-5070-618.

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Estimation of a highly accurate model for liquid flow process industry and control of the liquid flow rate from experimental data is an important task for engineers due to its non linear characteristics. Efficient optimization techniques are essential to accomplish this task.In most of the process control industry flowrate depends upon a multiple number of parameters like sensor output,pipe diameter, liquid conductivity ,liquid viscosity & liquid density etc.In traditional optimization technique its very time consuming for manually control the parameters to obtain the optimial flowrate fro

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Michael, Michael, and Winarno Winarno. "Design and Development of Computer Specification Recommendation System Based on User Budget With Genetic Algorithm." International Journal of New Media Technology 5, no. 1 (2018): 25–29. http://dx.doi.org/10.31937/ijnmt.v5i1.814.

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There are a lot of things that must be considered when determining specifications of computer components to make sure those components chose are working compatible. According to a survey conducted to 78 respondents, about 72.5% of the respondents prefer to buy a built-up computer. The reason is because of a lack of knowledge of computer components and how to assemble computer properly. This research aimed to develop a recommendation system that able to give recommendation of buying computer based on compatible components to be assembled, with the available budget, so that people who do not kno

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Carpintero, D. D., and M. Melita. "An alternative stable solution for the Kepler-419 system, obtained with the use of a genetic algorithm." Astronomy & Astrophysics 620 (November 30, 2018): A88. http://dx.doi.org/10.1051/0004-6361/201731997.

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Context. The mid-transit times of an exoplanet may be nonperiodic. The variations in the timing of the transits with respect to a single period, that is, the transit timing variations (TTVs), can sometimes be attributed to perturbations by other exoplanets present in the system, which may or may not transit the star. Aims. Our aim is to compute the mass and the six orbital elements of an nontransiting exoplanet, given only the central times of transit of the transiting body. We also aim to recover the mass of the star and the mass and orbital elements of the transiting exoplanet, suitably modi

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Armento, Angela, Marius Ueffing, and Simon J. Clark. "The complement system in age-related macular degeneration." Cellular and Molecular Life Sciences 78, no. 10 (2021): 4487–505. http://dx.doi.org/10.1007/s00018-021-03796-9.

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AbstractAge-related macular degeneration (AMD) is a chronic and progressive degenerative disease of the retina, which culminates in blindness and affects mainly the elderly population. AMD pathogenesis and pathophysiology are incredibly complex due to the structural and cellular complexity of the retina, and the variety of risk factors and molecular mechanisms that contribute to disease onset and progression. AMD is driven by a combination of genetic predisposition, natural ageing changes and lifestyle factors, such as smoking or nutritional intake. The mechanism by which these risk factors in

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Newfeld, S. J., and N. T. Takaesu. "An Analysis Using the hobo Genetic System Reveals That Combinatorial Signaling by the Dpp and Wg Pathways Regulates dpp Expression in Leading Edge Cells of the Dorsal Ectoderm in Drosophila melanogaster." Genetics 161, no. 2 (2002): 685–92. http://dx.doi.org/10.1093/genetics/161.2.685.

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Abstract Our laboratory has contributed to the development of a genetic system based upon the hobo transposable element in Drosophila melanogaster. We recently reported that hobo, like the better-known P element, is capable of local transposition. In that study, we mobilized a hobo enhancer trap vector and generated two unique alleles of decapentaplegic (dpp), a transforming growth factor-β family member with numerous roles during development. Here we report a detailed study of one of those alleles (dppF11). To our knowledge, this is the first application of the hobo genetic system to understa

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Anand, Diksha, and Kamal Gupta. "Face Spoof Detection System Based on Genetic Algorithm and Artificial Intelligence Technique: A Review." International Journal of Advanced Research in Computer Science and Software Engineering 8, no. 6 (2018): 51. http://dx.doi.org/10.23956/ijarcsse.v8i6.722.

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Face recognition is an alternative means to authenticate a person in different applications for access control. Instead of many improvements, this method is prone to various attacks like photos, 3D masks and video replay attack. Due to these attacks, system should require a face spoof detection system. A face spoof detection systems have an ability to identify whether a face is from a real person or a fake image. Face spoofing effect the image by adding deformation in it and also degrades the image pattern quality. Face spoofing detection system automatically identifies the human face is a tru

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De, Shankha Suvra, Abhik Hazra, and Mousumi Basu. "Artificial Immune System for Multi-Area Economic Dispatch." International Journal of Emerging Electric Power Systems 14, no. 6 (2013): 581–90. http://dx.doi.org/10.1515/ijeeps-2013-0087.

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Abstract This article presents artificial immune system for solving multi-area economic dispatch (MAED) problem with tie line constraints considering transmission losses, multiple fuels, valve-point loading and prohibited operating zones. Artificial immune system is based on the clonal selection principle which implements adaptive cloning, hyper mutation, aging operator and tournament selection. The effectiveness of the proposed algorithm has been verified on three different test systems, both small and large, involving varying degree of complexity. Compared with differential evolution, evolut

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Cha, Seongwon, Imhoi Koo, Byung L. Park, et al. "Genetic Effects ofFTOandMC4RPolymorphisms on Body Mass in Constitutional Types." Evidence-Based Complementary and Alternative Medicine 2011 (2011): 1–7. http://dx.doi.org/10.1093/ecam/nep162.

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Sasang constitutional medicine (SCM), a Korean tailored medicine, categorizes human beings into four types through states of physiological imbalances and responsiveness to herbal medicine. One SCM type susceptible to obesity seems sensitive to energy intake due to an imbalance toward preserving energy. Common variants of fat mass and obesity associated (FTO) and melanocortin 4 receptor (MC4R) genes have been associated with increased body mass index (BMI) by affecting energy intake. Here, we statistically examined the association ofFTOandMC4Rpolymorphisms with BMI in two populations with 1370

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Smith, Peter W. H., and Kim Harries. "Code Growth, Explicitly Defined Introns, and Alternative Selection Schemes." Evolutionary Computation 6, no. 4 (1998): 339–60. http://dx.doi.org/10.1162/evco.1998.6.4.339.

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Previous work on introns and code growth in genetic programming is expanded on and tested experimentally. Explicitly defined introns are introduced to tree-based representations as an aid to measuring and evaluating intron behavior. Although it is shown that introns do create code growth, they are not its only cause. Removing introns merely decreases the growth rate; it does not eliminate it. By systematically negating various forms of intron behavior, a deeper understanding of the causes of code growth is obtained, leading to the development of a system that keeps unnecessary bloat to a minim

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Lai, Hsiang-Chun, Qwang-Yuen Chang, and Ching-Liang Hsieh. "Signal Transduction Pathways of Acupuncture for Treating Some Nervous System Diseases." Evidence-Based Complementary and Alternative Medicine 2019 (July 11, 2019): 1–37. http://dx.doi.org/10.1155/2019/2909632.

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In this article, we review signal transduction pathways through which acupuncture treats nervous system diseases. We electronically searched the databases, including PubMed, MEDLINE, clinical Key, the Cochrane Library, and the China National Knowledge Infrastructure from their inception to December 2018 using the following MeSH headings and keywords alone or in varied combination: acupuncture, molecular, signal transduction, genetic, cerebral ischemic injury, cerebral hemorrhagic injury, stroke, epilepsy, seizure, depression, Alzheimer’s disease, dementia, vascular dementia, and Parkinson’s di

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Elhadef, Mourad, Kaouther Abrougui, Shantanu Das, and Amiya Nayak. "A PARALLEL PROBABILISTIC SYSTEM-LEVEL FAULT DIAGNOSIS APPROACH FOR LARGE MULTIPROCESSOR SYSTEMS." Parallel Processing Letters 16, no. 01 (2006): 63–79. http://dx.doi.org/10.1142/s0129626406002472.

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In this paper, we present a system-level fault identification algorithm, using a parallel genetic algorithm, for diagnosing faulty nodes in large heterogeneous systems. The algorithm is based on a probabilistic model where individual node fails with an a priori probability p. The assumptions concerning test outcomes are the same as in the PMC model, that is, fault-free testers always give correct test outcomes and faulty testers are totally unpredictable. The parallel diagnosis algorithm was implemented and simulated on randomly generated large systems. The proposed parallelization is intended

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Tanaka, Hidenori, Jason F. Kreisberg, and Trey Ideker. "Genetic dissection of complex traits using hierarchical biological knowledge." PLOS Computational Biology 17, no. 9 (2021): e1009373. http://dx.doi.org/10.1371/journal.pcbi.1009373.

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Despite the growing constellation of genetic loci linked to common traits, these loci have yet to account for most heritable variation, and most act through poorly understood mechanisms. Recent machine learning (ML) systems have used hierarchical biological knowledge to associate genetic mutations with phenotypic outcomes, yielding substantial predictive power and mechanistic insight. Here, we use an ontology-guided ML system to map single nucleotide variants (SNVs) focusing on 6 classic phenotypic traits in natural yeast populations. The 29 identified loci are largely novel and account for ~1

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Ruotsalainen, Seppo, and Dag Lindgren. "Stratified sublining: a new option for structuring breeding populations." Canadian Journal of Forest Research 30, no. 4 (2000): 596–604. http://dx.doi.org/10.1139/x99-245.

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When structuring a breeding population into sublines, the conventional approach is to assign parents to sublines randomly, so that each subline has approximately the same genetic value. By using deterministic infinitesimal model we study an alternative, stratified sublining system, where sublines are initially formed by positive assortative grouping of parents according to their breeding values. Stratified and random allocation to sublines are compared by evaluating the genetic quality of the seed orchards that each approach can provide. The seed orchards were established by selecting first th

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Deep, Kamal, and Pardeep K. Singh. "Dynamic cellular manufacturing system design considering alternative routing and part operation tradeoff using simulated annealing based genetic algorithm." Sādhanā 41, no. 9 (2016): 1063–79. http://dx.doi.org/10.1007/s12046-016-0530-7.

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Simantirakis, Emmanouil, Ioannis Tsironis, and George Vassilopoulos. "FV Vectors as Alternative Gene Vehicles for Gene Transfer in HSCs." Viruses 12, no. 3 (2020): 332. http://dx.doi.org/10.3390/v12030332.

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Hematopoietic Stem Cells (HSCs) are a unique population of cells, capable of reconstituting the blood system of an organism through orchestrated self-renewal and differentiation. They play a pivotal role in stem cell therapies, both autologous and allogeneic. In the field of gene and cell therapy, HSCs, genetically modified or otherwise, are used to alleviate or correct a genetic defect. In this concise review, we discuss the use of SFVpsc_huHSRV.13, formerly known as Prototype Foamy Viral (PFV or FV) vectors, as vehicles for gene delivery in HSCs. We present the properties of the FV vectors t

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Han, Zhong, Jianmin Guo, Feibiao Meng, et al. "Genetic Toxicology and Safety Pharmacological Evaluation of Forsythin." Evidence-Based Complementary and Alternative Medicine 2021 (June 18, 2021): 1–9. http://dx.doi.org/10.1155/2021/6610793.

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Introduction. Forsythin is the main ingredient of Forsythia suspensa and is widely used in treatment of fever, viral cold, gonorrhea, and ulcers clinically. This study aimed to evaluate the potential genetic toxicity of forsythin and its safety for human use. Methods. Based on the Good Laboratory Practice regulations and test guidelines, the genetic toxicity of forsythin was assessed by the Ames test, chromosome aberration (CA) test, and bone marrow micronucleus (MN) test in vivo. In the Ames test, five strains of Salmonella typhimurium were exposed to different concentrations of forsythin in

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Jun, Hyo-Byung, and Kwee-Bo Sim. "Coevolutionary Algorithms for Realization of Intelligent Systems." Journal of Advanced Computational Intelligence and Intelligent Informatics 3, no. 5 (1999): 418–26. http://dx.doi.org/10.20965/jaciii.1999.p0418.

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The simple genetic algorithm (SGA) proposed by J. H. Holland uses population-based optimization based on Darwinian natural selection. The theoretical foundations of GA are the Schema Theorem and Building Block Hypothesis. Although GA does well in many applications in optimization, it does not guarantee the convergence to a global optimum in some problems. In designing intelligent systems, since there is no deterministic solution, heuristic trial-and error is usually used to determine system parameters. An alternative is a coevolutionary system, where 2 populations constantly interact and coevo

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Kasarda R Mészáros, G., O. Kadlečík, E. Hazuchová, V. Šidlová, and I. Pavlík. "Influence of mating systems and selection intensity on the extent of inbreeding and genetic gain in the Slovak Pinzgau cattle." Czech Journal of Animal Science 59, No. 5 (2014): 219–26. http://dx.doi.org/10.17221/7402-cjas.

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The aim of the present paper was to simulate the scenarios for a maximum avoidance of inbreeding (MAI) mating strategy, and compare it with a random mating alternative, with the main focus on inbreeding and development of the genetic gain. The parameters of the simulation were based on the structure of the Slovak Pinzgau active population of 2868 animals (930 purebred cows). The selection under a total merit index (TMI) was simulated, covering the milk, survival, and live weight breeding value estimation results. The heritability of TMI (h<sup>2</sup> = 0.09) was estimated using a

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Epperson, B. K. "Spatial and space-time correlations in systems of subpopulations with genetic drift and migration." Genetics 133, no. 3 (1993): 711–27. http://dx.doi.org/10.1093/genetics/133.3.711.

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Abstract The geographic distribution of genetic variation is an important theoretical and experimental component of population genetics. Previous characterizations of genetic structure of populations have used measures of spatial variance and spatial correlations. Yet a full understanding of the causes and consequences of spatial structure requires complete characterization of the underlying space-time system. This paper examines important interactions between processes and spatial structure in systems of subpopulations with migration and drift, by analyzing correlations of gene frequencies ov

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Aísa-Marín, Izarbe, Rocío García-Arroyo, Serena Mirra, and Gemma Marfany. "The Alter Retina: Alternative Splicing of Retinal Genes in Health and Disease." International Journal of Molecular Sciences 22, no. 4 (2021): 1855. http://dx.doi.org/10.3390/ijms22041855.

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Alternative splicing of mRNA is an essential mechanism to regulate and increase the diversity of the transcriptome and proteome. Alternative splicing frequently occurs in a tissue- or time-specific manner, contributing to differential gene expression between cell types during development. Neural tissues present extremely complex splicing programs and display the highest number of alternative splicing events. As an extension of the central nervous system, the retina constitutes an excellent system to illustrate the high diversity of neural transcripts. The retina expresses retinal specific spli

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Amer, P. R., T. Roughsedge, B. Lowman, and G. Simm. "Deterministic predictions of beef cow herd population dynamics with alternative replacement strategies." Animal Science 77, no. 3 (2003): 395–401. http://dx.doi.org/10.1017/s1357729800054345.

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AbstractA deterministic method of predicting numbers of each animal class present over time in a beef cow herd with multiple calving seasons per year is described. Breeding cow classes are defined according to the number of generations of descent from the cows in the herd prior to the introduction of a specific heifer replacement breeding policy. Cow classes are further divided into subgroups defined according to age of cow, calving interval and whether or not the cow was last mated to a terminal sire. The method is demonstrated by showing the evolution of herd breed make-up with several alter

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Ghamkhar, Kioumars, Janine Croser, Nader Aryamanesh, Margaret Campbell, Nina Kon’kova, and Clive Francis. "Camelina (Camelina sativa(L.) Crantz) as an alternative oilseed: molecular and ecogeographic analyses." Genome 53, no. 7 (2010): 558–67. http://dx.doi.org/10.1139/g10-034.

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Camelina ( Camelina sativa (L.) Crantz) is an oilseed known for its potential as a low-input biofuel feedstock and its high levels of beneficial fatty acids. We investigated the role of geographical origin in genetic variation and fatty acid content, expecting to find significant variability among 53 accessions and a link between ecogeography and both origin and key oil traits. Amplified fragment length polymorphism (AFLP) fingerprinting revealed high levels of diversity within the 53 accessions. Even though sampling was relatively biased towards the Russian–Ukrainian area, this region was ide

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Lekveishvili, G. A., P. G. Gogiashvili, J. T. Chogovadze, and D. G. Kbilashvili. "APPLICATION OF GENETIC ALGORITHM OF OPTIMIZATION DURING THE PROCESS OF URBAN PASSENGER TRAFFIC MANAGEMENT." Juvenis scientia, no. 11 (2018): 5–8. http://dx.doi.org/10.32415/jscientia.2018.11.01.

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The paper proposes a generalized logistic model of the urban passenger transportation system, and on its basis, there has been developed a modified model that allows for determining a set of organizational and economic indicators in each state of a system. To solve the optimization problem of the transportation process system under conditions of dynamically changing passenger traffic flows, there has been justified searching for a balance between the effectiveness and quality of solutions due to the «survival of the strongest alternative solutions» y to earn system of operational control buses

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Suzuki, Shoji, and Norio Kurosawa. "Development of the Multiple Gene Knockout System with One-Step PCR in Thermoacidophilic Crenarchaeon Sulfolobus acidocaldarius." Archaea 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/7459310.

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Multiple gene knockout systems developed in the thermoacidophilic crenarchaeon Sulfolobus acidocaldarius are powerful genetic tools. However, plasmid construction typically requires several steps. Alternatively, PCR tailing for high-throughput gene disruption was also developed in S. acidocaldarius, but repeated gene knockout based on PCR tailing has been limited due to lack of a genetic marker system. In this study, we demonstrated efficient homologous recombination frequency (2.8 × 104 ± 6.9 × 103 colonies/μg DNA) by optimizing the transformation conditions. This optimized protocol allowed t

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