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Journal articles on the topic 'Genetic technology'

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Published: 4 June 2021
Last updated: 20 February 2023

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1

EDWARDS, A., and C. CASKEY. "Genetic marker technology." Current Opinion in Biotechnology 2, no. 6 (December 1991): 818–22. http://dx.doi.org/10.1016/s0958-1669(05)80113-2.

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2

Lesser, William H., and Anatole F. Krattiger. "What is 'Genetic Technology'?" Biodiversity Letters 2, no. 2 (March 1994): 31. http://dx.doi.org/10.2307/2999665.

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3

Jinjin, Chen, and Li Raojuan. "Patent in genetic technology." International Journal of Liability and Scientific Enquiry 1, no. 4 (2008): 402. http://dx.doi.org/10.1504/ijlse.2008.018287.

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4

Grossman, Margaret Rosso. "Genetic Technology and Food Security." American Journal of Comparative Law 62, no. 1 (July 1, 2014): 273–302. http://dx.doi.org/10.5131/ajcl.2013.0025.

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5

Tabor, John M. "Principles of Genetic Engineering Technology." Drug Development and Industrial Pharmacy 11, no. 5 (January 1985): 1073–88. http://dx.doi.org/10.3109/03639048509055598.

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6

Gibson, R. K. "The technology of genetic manipulation." Journal of Applied Bacteriology 63 (December 1987): 7s—19s. http://dx.doi.org/10.1111/j.1365-2672.1987.tb03607.x.

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7

LAYMAN, PATRICIA. "Swiss voters endorse genetic technology." Chemical & Engineering News 76, no. 24 (June 15, 1998): 8–9. http://dx.doi.org/10.1021/cen-v076n024.p008a.

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8

Skodbo, Sara. "Enrolling genetic technology in regulation." Focaal 2005, no. 46 (December 1, 2005): 91–106. http://dx.doi.org/10.3167/092012906780786825.

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This article addresses the need to overcome theoretical weaknesses of both technologically and socially deterministic accounts of technological development. Technology does not simply 'impact' on local contexts, but nor does it act as a tabula rasa, subject to the free attribution of meaning by local social actors. Expanding on theoretical developments in the anthropology of art (Gell 1998) and gender and technology (Strathern 1988, 1999, 2001), the essay seeks to explore genetic technology as a social agent and as a technological 'index'. Examining a case of genetic technology regulation and innovation in Norway, the article argues that technology is best understood as an agent that is engaged with on an affective basis by those who interact with it.
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9

Nicholas, F. W. "Genetic improvement through reproductive technology." Animal Reproduction Science 42, no. 1-4 (April 1996): 205–14. http://dx.doi.org/10.1016/0378-4320(96)01511-4.

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10

Gentry, Deborah B. "Genetic technology and family conflict." Mediation Quarterly 18, no. 1 (September 2000): 5–17. http://dx.doi.org/10.1002/crq.3890180103.

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11

KING, CHARLES R. "Prenatal Diagnosis of Genetic Disease with Molecular Genetic Technology." Obstetrical & Gynecological Survey 43, no. 9 (September 1988): 493–508. http://dx.doi.org/10.1097/00006254-198809000-00001.

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12

Galjaard, Hans. "Genetic Technology in Health Care: A Global View." International Journal of Technology Assessment in Health Care 10, no. 4 (1994): 527–45. http://dx.doi.org/10.1017/s026646230000814x.

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AbstractClinical genetics services have become an integrated part of health care in nearly all European countries. The emphasis has been on postnatal cytogenetic, biochemical, and DNA diagnosis of congenital disorders, carrier detection, genetic counseling, and prenatal diagnosis. Use has been satisfactory, and very few ethical problems have arisen, apart from moral objections against abortion by minority groups. The progress of human gene mapping is associated with new perspectives in clinical genetics and will enable the identification of people at risk of major adult diseases. This prospect has caused some concern about psychosocial and ethical issues that are being dealt with in different ways in various postindustrial societies. In future decades, however, 95% of the world's population increase will occur in developing countries. In most of these countries, a low per capita income, female illiteracy, low rates of contraceptive use, teenage pregnancy, and religious and traditional cultural factors are major complications of implementing genetic services at a global level. There are, however, some exceptions, which are discussed.
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13

Kalefetoğlu Macar1, Tuğçe, Oksal Macar, Emine Yalçın, and Kültiğin Çavuşoğlu. "Gene Technology and Plant Genetic Transformation Methods." Afyon Kocatepe University Journal of Sciences and Engineering 17, no. 2 (August 1, 2017): 377–92. http://dx.doi.org/10.5578/fmbd.58669.

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14

Clarke, A. "Our Genetic Future: The Science and Ethics of Genetic Technology." Journal of Medical Genetics 30, no. 6 (June 1, 1993): 536. http://dx.doi.org/10.1136/jmg.30.6.536.

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15

Monk, Marilyn. "Our genetic future: The science and ethics of genetic technology." Trends in Genetics 9, no. 5 (May 1993): 185–86. http://dx.doi.org/10.1016/0168-9525(93)90168-h.

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16

Jarrett, James, and Miranda Mugford. "Genetic Health Technology and Economic Evaluation." Applied Health Economics and Health Policy 5, no. 1 (2006): 27–35. http://dx.doi.org/10.2165/00148365-200605010-00004.

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17

O’Mathúna, Dónal P. "Genetic Technology, Enhancement, and Christian Values." National Catholic Bioethics Quarterly 2, no. 2 (2002): 277–95. http://dx.doi.org/10.5840/ncbq20022255.

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18

Banks, David J., and Kenneth A. Bradley. "SILENCE: a new forward genetic technology." Nature Methods 4, no. 1 (December 17, 2006): 51–53. http://dx.doi.org/10.1038/nmeth991.

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19

Kumlehn, Jochen, and Götz Hensel. "Genetic transformation technology in the Triticeae." Breeding Science 59, no. 5 (2009): 553–60. http://dx.doi.org/10.1270/jsbbs.59.553.

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20

Sharma, Kiran K., Pooja Bhatnagar-Mathur, and Trevor A. Thorpe. "Genetic transformation technology: Status and problems." In Vitro Cellular & Developmental Biology - Plant 41, no. 2 (March 2005): 102–12. http://dx.doi.org/10.1079/ivp2004618.

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21

VINEIS, PAOLO. "Genetic Testing: A Technology Assessment Perspective." Annals of the New York Academy of Sciences 837, no. 1 (December 1997): 566–69. http://dx.doi.org/10.1111/j.1749-6632.1997.tb56901.x.

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22

Sequeira, Tiago Neves, and Marcelo Santos. "Technology in 1500 and genetic diversity." Empirical Economics 56, no. 4 (December 23, 2017): 1145–65. http://dx.doi.org/10.1007/s00181-017-1391-6.

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23

Hochschild, Jennifer, and Maya Sen. "Genetic Determinism, Technology Optimism, and Race." ANNALS of the American Academy of Political and Social Science 661, no. 1 (August 10, 2015): 160–80. http://dx.doi.org/10.1177/0002716215587875.

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We begin with a typology of Americans’ understanding of the links between genetic inheritance and racial or ethnic groups. The typology has two dimensions: one running from genetic determinism to social construction, and the other from technology optimism to technology pessimism. Construing each dimension as a dichotomy enables four distinct political perspectives on the possibilities for reducing racial inequality in the United States through genomics. We then use a new public opinion survey to analyze Americans’ use of the typology. Survey respondents who perceive that some phenotypes are more prevalent in one group than another due to genetic factors are disproportionately technology optimists. Republicans and Democrats are equally likely to hold that set of views, as are self-identified blacks, whites, and Latinos. The article discusses the findings and speculates about alternative interpretations of the fact that partisanship and group identity do not differentiate Americans in their views of the links between genetic inheritance and racial inequality.
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24

Morey, Marcos, Ana Fernández-Marmiesse, Jose Angel Cocho, and María L. Couce. "Influence of technology in genetic epidemiology." AIMS Genetics 2, no. 3 (2015): 219–29. http://dx.doi.org/10.3934/genet.2015.3.219.

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25

Alexander Lowden, J. "Ethical Issues Resulting from Genetic Technology." North American Actuarial Journal 3, no. 1 (January 1999): 67–78. http://dx.doi.org/10.1080/10920277.1999.10595775.

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26

Pereira, Stacey. "“DNA Is Information, and Genetics Is Information Technology”: Reconsidering the Genetic Code." American Journal of Bioethics 19, no. 1 (January 2, 2019): 75–76. http://dx.doi.org/10.1080/15265161.2018.1544321.

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27

Brezina, Paul R. "Preimplantation Genetic Testing in the 21st Century: Uncharted Territory." Clinical Medicine Insights: Reproductive Health 7 (January 2013): CMRH.S10914. http://dx.doi.org/10.4137/cmrh.s10914.

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The past hundred years have given birth to arguably the most profound changes in society, medicine, and technology the world has ever witnessed. Genetics is one such field that has enjoyed a meteoric rise during this time. Progressing from Mendelian genetics to the discovery of DNA to the ability to sequence the human genome, perhaps no other discipline holds more promise to affect future change than genetics. Technology currently exists to evaluate some of the genetic information held by developing embryos in the context of an in vitro fertilization (IVF) cycle. This information is then used to determine which embryos are selected for uterine transfer. Many societies have enacted legislation to protect against possible abuses utilizing this technology. However, it is incumbent upon society to continue ensuring that preimplantation genetic diagnosis (PGD)–-and genetic testing in general–-is applied in a way that utilizes its potential in a responsible manner to improve health care.
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28

Byrnes, W. Malcolm. "Human Genetic Technology, Eugenics, and Social Justice." National Catholic Bioethics Quarterly 1, no. 4 (2001): 555–81. http://dx.doi.org/10.5840/ncbq2001148.

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29

Lewis, Ricki. "Using Technology to Teach Difficult Genetic Concepts." American Biology Teacher 58, no. 4 (April 1, 1996): 227–29. http://dx.doi.org/10.2307/4450130.

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30

Miller, Paul D. "Implementing Technology for Genetic Improvement: Industry's View." Journal of Dairy Science 71, no. 7 (July 1988): 1967–71. http://dx.doi.org/10.3168/jds.s0022-0302(88)79768-4.

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31

Pozubenkova, E. I., A. V. Nosov, and E. V. Fudina. "GENETIC TECHNOLOGY IMPLEMENTATION MECHANISM IN AGRICULTURAL PRODUCTION." Niva Povolzhya, no. 3 (2021): 17–21. http://dx.doi.org/10.36461/np.2021.60.3.007.

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32

Okonenko, T. I., A. K. Khrutskiy, A. B. Yershevskaya, A. V. Ivanova, G. A. Antropova, and E. E. Rumyantsev. "Modern Genetic Engineering Technology Achievements in Rheumatology." IOP Conference Series: Earth and Environmental Science 852, no. 1 (September 1, 2021): 012075. http://dx.doi.org/10.1088/1755-1315/852/1/012075.

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33

Blaga, M., and M. Draghici. "Application of genetic algorithms in knitting technology." Journal of the Textile Institute 96, no. 3 (June 2005): 175–78. http://dx.doi.org/10.1533/joti.2004.0064.

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34

Fesahat, Farzaneh, Fateme Montazeri, and Seyed Mehdi Hoseini. "Preimplantation genetic testing in assisted reproduction technology." Journal of Gynecology Obstetrics and Human Reproduction 49, no. 5 (May 2020): 101723. http://dx.doi.org/10.1016/j.jogoh.2020.101723.

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35

Datta, S., B. S. Dhillon, P. L. Gautam, J. L. Karihaloo, M. Mahadevappa, C. D. Mayee, G. Padmanaban, et al. "India Needs Genetic Modification Technology in Agriculture." Current Science 117, no. 3 (August 10, 2019): 390. http://dx.doi.org/10.18520/cs/v117/i3/390-394.

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36

Ferrari, M., L. Cremonesi, P. Carrera, and P. Bonini. "Diagnosis of genetic diseases by DNA technology." Pure and Applied Chemistry 63, no. 8 (January 1, 1991): 1089–96. http://dx.doi.org/10.1351/pac199163081089.

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37

Moeed, Abdul. "Management of genetic technology in New Zealand." Biocontrol Science and Technology 4, no. 4 (January 1994): 597–600. http://dx.doi.org/10.1080/09583159409355373.

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38

M.Basheer, Ferosh. "Genetic Technology in Animals: An Ethical Study." International Journal of Humanities and Social Science 4, no. 6 (November 25, 2017): 35–39. http://dx.doi.org/10.14445/23942703/ijhss-v4i6p108.

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39

Moores, Donald F. "Eugenics Revisited: Heredity Deafness and Genetic Technology." American Annals of the Deaf 139, no. 4 (1994): 393. http://dx.doi.org/10.1353/aad.2012.0351.

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40

Pozubenkova, E. I., A. V. Nosov, and E. V. Fudina. "GENETIC TECHNOLOGY IMPLEMENTATION MECHANISM IN AGRICULTURAL PRODUCTION." Volga Region Farmland, no. 3 (2021): 12–15. http://dx.doi.org/10.36461/vrf.2021.11.3.004.

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41

Lee, Bohyoung. "The Problems of Genetic Privacy by the Expansion of Genetic Testing Technology." Journal of Intellectual Property 12, no. 1 (March 31, 2017): 107–54. http://dx.doi.org/10.34122/jip.2017.03.12.1.107.

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42

Balls, Michael. "Book Review: Our Genetic Future: The Science and Ethics of Genetic Technology." Alternatives to Laboratory Animals 21, no. 2 (April 1993): 299–300. http://dx.doi.org/10.1177/026119299302100229.

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43

Arjunan, Aishwarya, Rotem Ben-Shachar, Jamie Kostialik, Katherine Johansen Taber, Gabriel Lazarin, Elizabeth Denne, Dale Muzzey, and Carrie Haverty. "876: Education and genetic counseling in the era of expanding genetic technology." American Journal of Obstetrics and Gynecology 220, no. 1 (January 2019): S571. http://dx.doi.org/10.1016/j.ajog.2018.11.900.

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44

Fomina, M. O., O. Ya Filipishena, and L. V. Polishchuk. "Molecular genetic identification of yeast isolate MF22_1." Fiziologia rastenij i genetika 54, no. 6 (December 2022): 516–27. http://dx.doi.org/10.15407/frg2022.06.516.

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45

Zhao, Ye, Yanting Tian, Yuhan Sun, and Yun Li. "The Development of Forest Genetic Breeding and the Application of Genome Selection and CRISPR/Cas9 in Forest Breeding." Forests 13, no. 12 (December 10, 2022): 2116. http://dx.doi.org/10.3390/f13122116.

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With the birth of classical genetics, forest genetic breeding has laid a foundation in the formation of the basic theories of population genetics, quantitative genetics, cytogenetics, and molecular genetics. Driven by the rapid growth of social demand for wood and other forest products, modern genetics, biotechnology, biostatistics, crop and animal husbandry breeding theories, and technical achievements have been continuously introduced for innovation, thus forming a close combination of genetic basic research and breeding practice. Forest tree breeding research in the world has a history of more than 200 years. By the middle of the 20th century, the forest tree genetic breeding system was gradually formed. After entering the 21st century, the in-depth development stage of molecular design breeding was opened. With the continuous improvement of traditional genetic breeding methods, emerging modern bioengineering technology has also continuously promoted the development of forest genetic breeding. This study mainly summarizes the research history of forest tree genetics and breeding, as well as discusses the application of modern bioengineering technology represented by genome selection and gene editing in forest tree breeding, so as to provide better reference for forest tree breeding research.
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46

Lee, Seung Ryeol, Tae Ho Lee, Seung-Hun Song, Dong Suk Kim, Kyung Hwa Choi, Jae Ho Lee, and Dae Keun Kim. "Update on genetic screening and treatment for infertile men with genetic disorders in the era of assisted reproductive technology." Clinical and Experimental Reproductive Medicine 48, no. 4 (December 1, 2021): 283–94. http://dx.doi.org/10.5653/cerm.2021.04476.

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A genetic etiology of male infertility is identified in fewer than 25% of infertile men, while 30% of infertile men lack a clear etiology, resulting in a diagnosis of idiopathic male infertility. Advances in reproductive genetics have provided insights into the mechanisms of male infertility, and a characterization of the genetic basis of male infertility may have broad implications for understanding the causes of infertility and determining the prognosis, optimal treatment, and management of couples. In a substantial proportion of patients with azoospermia, known genetic factors contribute to male infertility. Additionally, the number of identified genetic anomalies in other etiologies of male infertility is growing through advances in whole-genome amplification and next-generation sequencing. In this review, we present an up-to-date overview of the indications for appropriate genetic tests, summarize the characteristics of chromosomal and genetic diseases, and discuss the treatment of couples with genetic infertility by microdissection-testicular sperm extraction, personalized hormone therapy, and in vitro fertilization with pre-implantation genetic testing.
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47

Davis, G. P., and D. J. S. Hetzel. "Integrating molecular genetic technology with traditional approaches for genetic improvement in aquaculture species." Aquaculture Research 31, no. 1 (January 2000): 3–10. http://dx.doi.org/10.1046/j.1365-2109.2000.00438.x.

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48

Suseno, Eka Widya, Alfian Ma'arif, and Riky Dwi Puriyanto. "Tuning Parameter Pengendali PID dengan Metode Algoritma Genetik pada Motor DC." TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol 8, no. 1 (May 23, 2022): 1–13. http://dx.doi.org/10.15575/telka.v8n1.1-13.

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Saat ini, pengendali Proportional Integral Derivative (PID) digunakan secara umum untuk mendapatkan solusi optimum. Solusi dikatakan optimum apabila output di kehidupan nyata sesuai dengan output yang telah ditentukan. Oleh karena itu, pengendali adalah suatu hal yang dibutuhkan. Tantangan dalam menggunakan pengendali adalah tuning parameter untuk mencari konstanta parameter PID seperti Proporsional Gain (KP), Waktu Integral (KI) dan Waktu Derivatif (KD). Untuk memaksimalkan kinerja motor DC, pengaturan pengendali PID yang tepat merupakan hal yang sangat penting. Desain pengendali PID sebagai pengendali motor DC sudah sering dilakukan. Penggunaan pengendali PID membutuhkan pengaturan parameter yang tepat untuk mendapatkan kinerja yang optimal pada motor. Metode yang umum dalam menentukan parameter pengendali PID adalah trial and error. Namun hasil yang didapat tidak membuat pengendali PID optimal dan justru akan merusak sistem. Oleh karena itu, penelitian ini menggunakan salah satu metode penalaan parameter PID dengan menggunakan metode cerdas berbasis Genetic Algorithm (Algoritma Genetik) untuk mengoptimasi dan menentukan parameter yang tepat dari PID. Algoritma genetik adalah salah satu algoritma yang menggunakan genetika sebagai model algoritmanya. Algoritma genetik terinspirasi dari meniru proses seleksi alam, yaitu proses yang menyebabkan evolusi biologis. Konsep inilah yang diadaptasi dan diterapkan dengan baik untuk menala parameter PID. Penggunaan metode algoritma genetik dapat memberikan hasil yang lebih baik pada setiap iterasinya. Hasil penelitian menunjukkan bahwa overshoot yang dihasilkan karena adanya respon kecepatan setelah penambahan PID adalah kurang dari 10%. Currently, Proportional Integral Derivative (PID) controllers are generally used to obtain the optimum solution. The solution is said to be optimum if the output in real life matches the output determined. Therefore, the controller is needed. The challenge in using the controller is tuning parameters to find constants of PID parameters such as Proportional Gain (KP), Integral Time (KI) and Derivative Time (KD). In order to maximize the performance of a DC motor, proper PID controller settings are crucial. The design of PID controllers as DC motor controllers has often been done. The use of a PID controller requires setting the right parameters to get optimal performance on the motor. The common method for determining PID controller parameters is trial and error. However, the results obtained do not make the PID controller optimal and will actually damage the system. Therefore, this study uses one of the PID parameter tuning methods by using an intelligent method based on Genetic Algorithm to optimize and determine the appropriate parameters of PID. Genetic algorithm is an algorithm that uses genetics as a model algorithm. Genetic algorithms are inspired by imitating the process of natural selection, the process that causes biological evolution. This concept is well adapted and applied for tuning PID parameters. The use of genetic algorithm methods can give better results in each iteration. The results showed that the resulting overshoot due to the speed response after the addition of PID was less than 10%.
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49

BUITRAGO, ELIAS. "GENÓMICA Y COMPUTACIÓN: UNA VISIÓN DESDE LA FILOSOFÍA DE LA TECNOLOGÍA." Pensamiento Republicano 8 (January 31, 2018): 109–15. http://dx.doi.org/10.21017/pen.repub.2018.n8.a36.

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This paper presents some reflections of the author, bounded from the point of view of the philosophy of technology, in relation to the role played by computer science in current research in human genetics. The initial question, which arises as a structuring framework is the following: Can a relationship be derived between the philosophy of technology and new research in the field of computational genomics? Topics such as the notions about computer ethics raised by Mitcham and Zimmerli are discussed, as well as the bioethical questioning posed by genetic responsibility.
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50

Wu, Tie Zhou, Hui Jun Zhou, Biao Li, and Qing Xiao. "ZigBee Node Locating Technology Based on Genetic Algorithm." Advanced Materials Research 225-226 (April 2011): 70–74. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.70.

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Location technology as Wireless Sensor Network’s support technology for most applications has been widely researched, ZigBee is one of representative technology of WSN. On the basis of the common two-step localization algorithm, this paper proposes a locating method that optimize the measurement data using genetic algorithm before locating calculation, then using multilateral measurement least-square method for calculating position. Experimental results show that the modified algorithm is significantly reduced the position error, effectively improve the position accuracy.
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